Science.gov

Sample records for regional analysis

  1. Regional flood frequency analysis

    SciTech Connect

    Singh, V.P.

    1987-01-01

    This book, the fourth of a four volume set, contains five sections encompassing major aspects of regional flood frequency analysis. Each section starts usually with an invited state-of-the-art paper followed by contributed papers. The first section provides an assessment of regional flood frequency analysis. Methods for performing regional frequency analysis for ungaged watersheds are presented in Section 2. More discussion on regional frequency analysis is provided in Section 3. Selection and comparison of regional frequency methods are dealt with in Section 4; these are of great interest to the user. Increasing attention is being focused these days on paleohydrologic flood analysis. This topic is covered in Section 5.

  2. Regional Shelter Analysis Methodology

    SciTech Connect

    Dillon, Michael B.; Dennison, Deborah; Kane, Jave; Walker, Hoyt; Miller, Paul

    2015-08-01

    The fallout from a nuclear explosion has the potential to injure or kill 100,000 or more people through exposure to external gamma (fallout) radiation. Existing buildings can reduce radiation exposure by placing material between fallout particles and exposed people. Lawrence Livermore National Laboratory was tasked with developing an operationally feasible methodology that could improve fallout casualty estimates. The methodology, called a Regional Shelter Analysis, combines the fallout protection that existing buildings provide civilian populations with the distribution of people in various locations. The Regional Shelter Analysis method allows the consideration of (a) multiple building types and locations within buildings, (b) country specific estimates, (c) population posture (e.g., unwarned vs. minimally warned), and (d) the time of day (e.g., night vs. day). The protection estimates can be combined with fallout predictions (or measurements) to (a) provide a more accurate assessment of exposure and injury and (b) evaluate the effectiveness of various casualty mitigation strategies. This report describes the Regional Shelter Analysis methodology, highlights key operational aspects (including demonstrating that the methodology is compatible with current tools), illustrates how to implement the methodology, and provides suggestions for future work.

  3. Regional Needs Analysis Report. 2011

    ERIC Educational Resources Information Center

    Washington Higher Education Coordinating Board, 2011

    2011-01-01

    The Higher Education Coordinating Board (HECB) is required to develop a comprehensive and ongoing needs assessment process to analyze demand for additional degrees and programs [RCW 28B.76.230 (1)]. This report fulfills a portion of that mandate by focusing on employer demand on the regional level, but also includes additional information on…

  4. Assessment of homogeneity of regions for regional flood frequency analysis

    NASA Astrophysics Data System (ADS)

    Lee, Jeong Eun; Kim, Nam Won

    2016-04-01

    This paper analyzed the effect of rainfall on hydrological similarity, which is an important step for regional flood frequency analysis (RFFA). For the RFFA, storage function method (SFM) using spatial extension technique was applied for the 22 sub-catchments that are partitioned from Chungju dam watershed in Republic of Korea. We used the SFM to generate the annual maximum floods for 22 sub-catchments using annual maximum storm events (1986~2010) as input data. Then the quantiles of rainfall and flood were estimated using the annual maximum series for the 22 sub-catchments. Finally, spatial variations in terms of two quantiles were analyzed. As a result, there were significant correlation between spatial variations of the two quantiles. This result demonstrates that spatial variation of rainfall is an important factor to explain the homogeneity of regions when applying RFFA. Acknowledgements: This research was supported by a grant (11-TI-C06) from Advanced Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

  5. Regional Slip Tendency Analysis of the Great Basin Region

    DOE Data Explorer

    Faulds, James E.

    2013-09-30

    are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike‐slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east‐west trending throughout much of the Great Basin. As such, north‐ to northeast‐striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local‐scale exploration efforts for blind or hidden geothermal resources.

  6. cis-regulatory region analysis using BEARR.

    PubMed

    Vega, Vinsensius Berlian

    2006-01-01

    Genome-wide studies are fast becoming the norm, partly fueled by the availability of genome sequences and the feasibility of high-throughput experimental platforms, e.g., microarrays. An important aspect in any genome-wide studies is determination of regulatory relationships, believed to be primarily transacted through transcription factor binding to DNA. Identification of specific transcription factor binding sites in the cis-regulatory regions of genes makes it possible to list direct targets of transcription factors, model transcriptional regulatory networks, and mine other associated datasets for relevant targets for experimental and clinical manipulation. We have developed a web-based tool to assist biologists in efficiently carrying out the analysis of genes from studies of specific transcription factors or otherwise. The batch extraction and analysis of cis-regulatory regions (BEARR) facilitates identification, extraction, and analysis of regulatory regions from the large amount of data that is typically generated in genome-wide studies. This chapter highlights features and serves as a tutorial for using this publicly available software. The URL is http://giscompute.gis.a-star.edu.sg/~vega/BEARR1.0/. PMID:16888354

  7. Preliminary analysis of regional-precipitation periodicity

    USGS Publications Warehouse

    Perry, Charles A.

    1980-01-01

    Precipitation variability plays a major role in nearly every aspect of the hydrologic cycle. Precipitation is not a random event, but it occurs after a sequence of prerequisites has been fulfilled. Recent investigations have shown that activity of the sun can affect atmospheric vorticity, an important factor in precipitation formation. Solar activity is known to be periodic; therefore, through a complex series of physical processes, precipitation variance is solar forced to a certain degree. A preliminary analysis of precipitation periodicity was made for eight regions scattered across the central United States. Each region contained 5 to 10 stations with long-term precipitation records that were averaged to obtain yearly regional-precipitation values. Graphic analysis shows 11-year and 22-year cycles that are nearly in phase with the solar cycles. An example of the effect of cyclic precipitation is presented for the Powder River basin in Wyoming and Montana. A cycle of 22 years exhibits fluctuations of approximately 22 to 27% for precipitation and 38 to 50% for runoff. A more detailed study that investigates solar-forced precipitation cycles and their relationship to hydrologic processes is needed. (USGS)

  8. Regional frequency analysis of extreme groundwater levels.

    PubMed

    Fürst, Josef; Bichler, Andrea; Konecny, Franz

    2015-01-01

    Flood risk is generally perceived as being a consequence of surface water inundation. However, large damage is also caused by high groundwater levels. In surface hydrology, statistical frequency analysis is a standard tool to estimate discharge with a given return period or exceedance probability. First, a suitable probability distribution is fit to a series of annual maximum peaks. Second, this distribution is used to determine the discharge corresponding to the desired return period. Where only short series of recorded data are available, the estimates can often be improved by regional frequency analysis (RFA). Unfortunately, there is little information in the literature on analogous approaches for the estimation of extreme groundwater levels. In this contribution, the applicability of l-moments-based RFA for the estimation of extreme groundwater levels is investigated. The main issues specific to groundwater levels are (1) appropriate transformation of the data, (2) criteria for identification of statistically homogeneous regions, (3) consideration of correlation between sites, and (4) choice of distribution function. This study is based on data from more than 1100 observation sites in four shallow Austrian Aquifers with a record length of 10 to 50 years. Results show that homogeneous regions for l-moments-based RFA can be identified covering about one half of the total area of the aquifers. The confidence intervals for the 30- and 100-year return levels can be significantly reduced by RFA. Out of the four investigated distribution functions, none is to be preferred generally.

  9. D0 regional analysis center concepts

    SciTech Connect

    Lee Lueking et al.

    2003-08-12

    The D0 experiment is facing many exciting challenges providing a computing environment for its worldwide collaboration. Transparent access to data for processing and analysis has been enabled through deployment of its SAM system to collaborating sites and additional functionality will be provided soon with SAMGrid components. In order to maximize access to global storage, computational and intellectual resources, and to enable the system to scale to the large demands soon to be realized, several strategic sites have been identified as Regional Analysis Centers (RAC's). These sites play an expanded role within the system. The philosophy and function of these centers is discussed and details of their composition and operation are outlined. The plan for future additional centers is also addressed.

  10. Regional Frequency Analysis of Ocean Hazard

    NASA Astrophysics Data System (ADS)

    Bernardara, Pietro; Weiss, Jerome; Benoit, Michel; Andreewsky, Marc

    2015-04-01

    The estimation of the extreme return level (up to 10-4 annual probability of exceedence) of natural phenomena is a very uncertain exercise, when extrapolating using the information and the measure collected in a single site. The aim of the Regional Frequency Analysis (RFA) is to benefit from the information contained in observations and data collected not only on the site of interested but in a larger set of sites, located in the same region of the site of interest or sharing with it similar characteristics. This technique was introduced in the '60 and widely used in various domains including hydrology and meteorology. The RFA was recently acknowledge as a potential choice for the estimation of flooding hazard in the Methodological Guide for flooding hazard estimation [1], published in 2013 by the French Nuclear Safety Autority. The aim of this presentation is to bring in the main concepts of the RFA and illustrate the latest innovation on its application, delivered by EDF R&D. They concerns the statistical definition of storms, the formation of homogeneous regions and a new approach for filtering the redundant information linked to the spatial correlation of natural phenomena. Application to skew surges and waves will be shown 1. ASN, Guide pour la Protection des installations nucléaires de base contre les inondations externes. 2013, ASN. p. 44.

  11. Regional tsunami vulnerability analysis through ASTER imagery

    NASA Astrophysics Data System (ADS)

    Dall'Osso, Filippo; Cavalletti, Alessandra; Immordino, Francesco; Gonella, Marco

    2010-05-01

    Analysis of vulnerability to natural hazards is a key issue of prevention measures within ICZM. Knowledge of susceptibility to damage and how this is distributed along the coast allows to optimize possible prevention and mitigation actions. The present study focuses on tsunami vulnerability of a large extension of coastline: the entire westerly Thailand's coast. The work is a follow up of the CRATER project (Coastal Risk Analysis for Tsunamis and Environmental Remediation) carried out on the aftermath of the 26th December 2004 Tsunami event. Vulnerability is analyzed considering an inundation scenario given by a tsunami of seismic origin, causing a maximum run-up of 25m.. An innovative methodology have been here developed and applied, based on the combined use of ASTER (Advanced Spaceborn Thermal Emission and Reflection Radiometer) satellite imagery, SRTM v-3 (Shuttle Radar Topography Mission - version #3) DEMs and GIS. Vulnerability level has been calculated combining information on coastal geomorphology, land use, topography and distance from the shoreline. Land use has been extrapolated from ASTER images through a multi-spectral analysis (a pixel-based and supervised classification process) of ASTER bands 1 to 9, plus one band for the NDVI index (Normalized Difference Vegetation Index). Coastal geomorphology has been obtained through a photo-interpretation process. Results have been organized in a set of vectorial vulnerability maps with horizontal resolution of 90m. The proposed methodology has the great advantage of being repeatable for any case of vulnerability analysis at small-medium scale (i.e. at Regional/National level) with a moderate investment in term of costs and human resources.

  12. Incorporating spatial dependence in regional frequency analysis

    PubMed Central

    Wang, Zhuo; Yan, Jun; Zhang, Xuebin

    2014-01-01

    The efficiency of regional frequency analysis (RFA) is undermined by intersite dependence, which is usually ignored in parameter estimation. We propose a spatial index flood model where marginal generalized extreme value distributions are joined by an extreme-value copula characterized by a max-stable process for the spatial dependence. The parameters are estimated with a pairwise likelihood constructed from bivariate marginal generalized extreme value distributions. The estimators of model parameters and return levels can be more efficient than those from the traditional index flood model when the max-stable process fits the intersite dependence well. Through simulation, we compared the pairwise likelihood method with an L-moment method and an independence likelihood method under various spatial dependence models and dependence levels. The pairwise likelihood method was found to be the most efficient in mean squared error if the dependence model was correctly specified. When the dependence model was misspecified within the max-stable models, the pairwise likelihood method was still competitive relative to the other two methods. When the dependence model was not a max-stable model, the pairwise likelihood method led to serious bias in estimating the shape parameter and return levels, especially when the dependence was strong. In an illustration with annual maximum precipitation data from Switzerland, the pairwise likelihood method yielded remarkable reduction in the standard errors of return level estimates in comparison to the L-moment method. PMID:25745273

  13. Regional Analysis of Ground-Water Recharge

    USGS Publications Warehouse

    Flint, Lorraine E.; Flint, Alan L.

    2007-01-01

    A modeling analysis of runoff and ground-water recharge for the arid and semiarid southwestern United States was performed to investigate the interactions of climate and other controlling factors and to place the eight study-site investigations into a regional context. A distributed-parameter water-balance model (the Basin Characterization Model, or BCM) was used in the analysis. Data requirements of the BCM included digital representations of topography, soils, geology, and vegetation, together with monthly time-series of precipitation and air-temperature data. Time-series of potential evapotranspiration were generated by using a submodel for solar radiation, taking into account topographic shading, cloudiness, and vegetation density. Snowpack accumulation and melting were modeled using precipitation and air-temperature data. Amounts of water available for runoff and ground-water recharge were calculated on the basis of water-budget considerations by using measured- and generated-meteorologic time series together with estimates of soil-water storage and saturated hydraulic conductivity of subsoil geologic units. Calculations were made on a computational grid with a horizontal resolution of about 270 meters for the entire 1,033,840 square-kilometer study area. The modeling analysis was composed of 194 basins, including the eight basins containing ground-water recharge-site investigations. For each grid cell, the BCM computed monthly values of potential evapotranspiration, soil-water storage, in-place ground-water recharge, and runoff (potential stream flow). A fixed percentage of runoff was assumed to become recharge beneath channels operating at a finer resolution than the computational grid of the BCM. Monthly precipitation and temperature data from 1941 to 2004 were used to explore climatic variability in runoff and ground-water recharge. The selected approach provided a framework for classifying study-site basins with respect to climate and dominant recharge

  14. Southeast Regional Clean Energy Policy Analysis (Revised)

    SciTech Connect

    McLaren, J.

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  15. Southeast Regional Clean Energy Policy Analysis

    SciTech Connect

    McLaren, Joyce

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  16. Regional environmental analysis and management: New techniques for current problems

    NASA Technical Reports Server (NTRS)

    Honea, R. B.; Paludan, C. T. N.

    1974-01-01

    Advances in data acquisition and processing procedures for regional environmental analysis are discussed. Automated and semi-automated techniques employing Earth Resources Technology Satellite data and conventional data sources are presented. Experiences are summarized. The ERTS computer compatible tapes provide a very complete and flexible record of earth resources data and represent a viable medium to enhance regional environmental analysis research.

  17. Esthetic analysis of the cervicofacial region.

    PubMed

    Zweig, B E

    2000-09-01

    For many patients the primary motivating factor for orthognathic surgery is improvement of their facial appearance. In order to achieve a satisfactory esthetic result and satisfy the patients' concerns, a systematic, thorough evaluation should be performed. Because the face is a complex anatomic unit, it is best to evaluate each distinct region of the face separately, taking care to relate the various parts to the whole. During this examination it is important that the patient be in natural head position with the lips in repose and the teeth lightly touching in a centric relationship. Direct measurements from the patient are always more accurate than those obtained from photographs or radiographs. The surgeon should keep in mind that the proper relationships between the various regions of the face are more important than specific angles or numbers.

  18. Pineal region tumors: analysis of treatment results

    SciTech Connect

    Amendola, B.E.; McClatchey, K.; Amendola, M.A.

    1984-07-01

    This article represents a review of 32 patients with pineal region tumors seen and treated at the University of Michigan Medical Center from January 1950 to December 1980. All patients presented with manifestations of increased intracranial pressure: limitation of the upward gaze (Parinaud's syndrome), hydrocephalus and a mass in the posterior aspect of the third ventricle. The tumor was demonstrated by pneumoencephalography, ventriculography, angiography or CT scans. Ventricular decompression was performed in all patients. Twenty-seven patients received post-operative irradiation. The overall 10 year survival for evaluable patients was 16/24 (67%). Few complications were seen.

  19. Regional dissociated heterochrony in multivariate analysis.

    PubMed

    Mitteroecker, P; Gunz, P; Weber, G W; Bookstein, F L

    2004-12-01

    Heterochrony, the classic framework to study ontogeny and phylogeny, in essence relies on a univariate concept of shape. Though principal component plots of multivariate shape data seem to resemble classical bivariate allometric plots, the language of heterochrony cannot be translated directly into general multivariate methodology. We simulate idealized multivariate ontogenetic trajectories and demonstrate their behavior in principal component plots in shape space and in size-shape space. The concept of "dissociation", which is conventionally regarded as a change in the relationship between shape change and size change, appears to be algebraically the same as regional dissociation - the variation of apparent heterochrony by region. Only if the trajectories of two related species lie along exactly the same path in shape space can the classic terminology of heterochrony apply so that pure dissociation of size change against shape change can be detected. We demonstrate a geometric morphometric approach to these issues using adult and subadult crania of 48 Pan paniscus and 47 P. troglodytes. On each specimen we digitized 47 landmarks and 144 semilandmarks on ridge curves and the external neurocranial surface. The relation between these two species' growth trajectories is too complex for a simple summary in terms of global heterochrony.

  20. An Ecological Regional Analysis of South Carolina

    ERIC Educational Resources Information Center

    Young, Frank W.; Robinson, Kenneth

    2011-01-01

    This study of the counties of South Carolina introduces a limited purpose, modifiable technology that is designed to reproduce the rapid discovery strategy of the natural sciences. It uses factor analysis to identify types of communities and the threats they face, and evaluates their success in dealing with these by comparisons based on…

  1. Analysis of body calcium (regional changes in body calcium by in vivo neutron activation analysis)

    NASA Technical Reports Server (NTRS)

    Suki, W.; Johnson, P. C.; Leblanc, A.; Evans, H. J.

    1981-01-01

    The effect of space flight on urine and fecal calcium loss was documented during the three long-term Skylab flights. Neutron activation analysis was used to determine regional calcium loss. Various designs for regional analysis were investigated.

  2. Statistical Analysis of Acoustic Wave Parameters Near Solar Active Regions

    NASA Astrophysics Data System (ADS)

    Rabello-Soares, M. Cristina; Bogart, Richard S.; Scherrer, Philip H.

    2016-08-01

    In order to quantify the influence of magnetic fields on acoustic mode parameters and flows in and around active regions, we analyze the differences in the parameters in magnetically quiet regions nearby an active region (which we call “nearby regions”), compared with those of quiet regions at the same disk locations for which there are no neighboring active regions. We also compare the mode parameters in active regions with those in comparably located quiet regions. Our analysis is based on ring-diagram analysis of all active regions observed by the Helioseismic and Magnetic Imager (HMI) during almost five years. We find that the frequency at which the mode amplitude changes from attenuation to amplification in the quiet nearby regions is around 4.2 mHz, in contrast to the active regions, for which it is about 5.1 mHz. This amplitude enhacement (the “acoustic halo effect”) is as large as that observed in the active regions, and has a very weak dependence on the wave propagation direction. The mode energy difference in nearby regions also changes from a deficit to an excess at around 4.2 mHz, but averages to zero over all modes. The frequency difference in nearby regions increases with increasing frequency until a point at which the frequency shifts turn over sharply, as in active regions. However, this turnover occurs around 4.9 mHz, which is significantly below the acoustic cutoff frequency. Inverting the horizontal flow parameters in the direction of the neigboring active regions, we find flows that are consistent with a model of the thermal energy flow being blocked directly below the active region.

  3. Worldwide Genetic Analysis of the CFTR Region

    PubMed Central

    Mateu, Eva; Calafell, Francesc; Lao, Oscar; Bonné-Tamir, Batsheva; Kidd, Judith R.; Pakstis, Andrew; Kidd, Kenneth K.; Bertranpetit, Jaume

    2001-01-01

    Mutations at the cystic fibrosis transmembrane conductance regulator gene (CFTR) cause cystic fibrosis, the most prevalent severe genetic disorder in individuals of European descent. We have analyzed normal allele and haplotype variation at four short tandem repeat polymorphisms (STRPs) and two single-nucleotide polymorphisms (SNPs) in CFTR in 18 worldwide population samples, comprising a total of 1,944 chromosomes. The rooted phylogeny of the SNP haplotypes was established by typing ape samples. STRP variation within SNP haplotype backgrounds was highest in most ancestral haplotypes—although, when STRP allele sizes were taken into account, differences among haplotypes became smaller. Haplotype background determines STRP diversity to a greater extent than populations do, which indicates that haplotype backgrounds are older than populations. Heterogeneity among STRPs can be understood as the outcome of differences in mutation rate and pattern. STRP sites had higher heterozygosities in Africans, although, when whole haplotypes were considered, no significant differences remained. Linkage disequilibrium (LD) shows a complex pattern not easily related to physical distance. The analysis of the fraction of possible different haplotypes not found may circumvent some of the methodological difficulties of LD measure. LD analysis showed a positive correlation with locus polymorphism, which could partly explain the unusual pattern of similar LD between Africans and non-Africans. The low values found in non-Africans may imply that the size of the modern human population that emerged “Out of Africa” may be larger than what previous LD studies suggested. PMID:11104661

  4. Region of interest based analysis of functional imaging data.

    PubMed

    Nieto-Castanon, Alfonso; Ghosh, Satrajit S; Tourville, Jason A; Guenther, Frank H

    2003-08-01

    fMRI analysis techniques are presented that test functional hypotheses at the region of interest (ROI) level. An SPM-compatible Matlab toolbox has been developed that allows the creation of subject-specific ROI masks based on anatomical markers and the testing of functional hypotheses on the regional response using multivariate time-series analysis techniques. The combined application of subject-specific ROI definition and region-level functional analysis is shown to appropriately compensate for intersubject anatomical variability, offering finer localization and increased sensitivity to task-related effects than standard techniques based on whole-brain normalization and voxel or cluster-level functional analysis, while providing a more direct link between discrete brain region hypotheses and the statistical analyses used to test them.

  5. The Significance of Regional Analysis in Applied Geography.

    ERIC Educational Resources Information Center

    Sommers, Lawrence M.

    Regional analysis is central to applied geographic research, contributing to better planning and policy development for a variety of societal problems facing the United States. The development of energy policy serves as an illustration of the capabilities of this type of analysis. The United States has had little success in formulating a national…

  6. BEARR: Batch Extraction and Analysis of cis-Regulatory Regions.

    PubMed

    Vega, Vinsensius B; Bangarusamy, Dhinoth Kumar; Miller, Lance D; Liu, Edison T; Lin, Chin-Yo

    2004-07-01

    Transcription factors play important roles in regulating biological and disease processes. Microarray technology has enabled researchers to simultaneously monitor changes in the expression of thousands of transcripts. By identifying specific transcription factor binding sites in the cis-regulatory regions of differentially expressed genes, it is then possible to identify direct targets of transcription factors, model transcriptional regulatory networks and mine the dataset for relevant targets for experimental and clinical manipulation. We have developed web-based software to assist biologists in efficiently carrying out the analysis of microarray data from studies of specific transcription factors. Batch Extraction and Analysis of cis-Regulatory Regions, or BEARR, accepts gene identifier lists from microarray data analysis tools and facilitates identification, extraction and analysis of regulatory regions from the large amount of data that is typically generated in these types of studies. The software is publicly available at http://giscompute.gis.a-star.edu.sg/~vega/BEARR1.0/. PMID:15215391

  7. Regional climate: Design and analysis of computer experiments?

    NASA Astrophysics Data System (ADS)

    Nychka, D. W.

    2011-12-01

    As attention shifts from broad global summaries of climate change to more specific regional impacts there is a need for data sciences to quantify the uncertainty in regional predictions. This talk will provide an overview on regional climate experiments with an emphasis on the statistical problems for interpreting these large and complex simulations. A regional climate model is a computer code based on physics that simulates the detailed flow of the atmosphere in a particular region from the large scale information of a global climate model. One intent is to compare simulations under current climate to future scenarios to infer the nature of climate change expected at a location. There exists a mature sub-discipline in engineering and statistics on the design and analysis of computer experiments. This talk will sketch how general methods from this area may apply to the interpretation of climate model experiments and to what extent the problems of interpreting climate projections are unique and require new ideas.

  8. Using cluster analysis to organize and explore regional GPS velocities

    USGS Publications Warehouse

    Simpson, Robert W.; Thatcher, Wayne; Savage, James C.

    2012-01-01

    Cluster analysis offers a simple visual exploratory tool for the initial investigation of regional Global Positioning System (GPS) velocity observations, which are providing increasingly precise mappings of actively deforming continental lithosphere. The deformation fields from dense regional GPS networks can often be concisely described in terms of relatively coherent blocks bounded by active faults, although the choice of blocks, their number and size, can be subjective and is often guided by the distribution of known faults. To illustrate our method, we apply cluster analysis to GPS velocities from the San Francisco Bay Region, California, to search for spatially coherent patterns of deformation, including evidence of block-like behavior. The clustering process identifies four robust groupings of velocities that we identify with four crustal blocks. Although the analysis uses no prior geologic information other than the GPS velocities, the cluster/block boundaries track three major faults, both locked and creeping.

  9. Astronomical Software Development at the IUE Regional Data Analysis Facilities

    NASA Astrophysics Data System (ADS)

    Bonnell, J.; Thompson, R.; Lawton, P.; Oliversen, N.; Taylor, L.; Gagliardi, J.; Bradley, R.; Brugel, E.; Allison, G.

    In 1981 the International Ultraviolet Explorer (IUE) project established two Regional Data Analysis Facilities (RDAFs) to aid in the analysis of observations made with the IUE satellite, one located at NASA/GSFC, and one at the University of Colorado. The RDAFs presently offer data analysis software packages for UNIX and VAX/VMS computers based on the Interactive Data Language (IDL). These packages were designed to support the post pipeline processing analysis of IUE data. The RDAFs also provide access to computer facilities for researchers, archival IUE data access, and access to the Astrophysics Data System (ADS). A brief description of these RDAF services and software is given.

  10. Quantitative analysis of regional myocardial performance in coronary artery disease

    NASA Technical Reports Server (NTRS)

    Stewart, D. K.; Dodge, H. T.; Frimer, M.

    1975-01-01

    Findings from a group of subjects with significant coronary artery stenosis are given. A group of controls determined by use of a quantitative method for the study of regional myocardial performance based on the frame-by-frame analysis of biplane left ventricular angiograms are presented. Particular emphasis was placed upon the analysis of wall motion in terms of normalized segment dimensions, timing and velocity of contraction. The results were compared with the method of subjective assessment used clinically.

  11. Regional flux analysis of longitudinal atrophy in Alzheimer's disease.

    PubMed

    Lorenzi, Marco; Ayache, Nicholas; Xavier, Pennec

    2012-01-01

    The longitudinal analysis of the brain morphology in Alzheimer's disease(AD) is fundamental for understanding and quantifying the dynamics of the pathology. This study provides a new measure of the brain longitudinal changes based on the Helmholtz decomposition of deformation fields. We used the scalar pressure map associated to the irrotational component in order to identify a consistent group-wise set of areas of maximal volume change. The atrophy was then quantified in these areas for each subject by the probabilistic integration of the flux of the longitudinal deformations across the boundaries. The presented framework unifies voxel-based and regional approaches, and robustly describes the longitudinal atrophy at group level as a spatial process governed by consistently defined regions. Our experiments showed that the resulting regional flux analysis is able to detect the differential atrophy patterns across populations, and leads to precise and statistically powered quantifications of the longitudinal changes in AD, even in mild/premorbid cases.

  12. Analysis of MAGSAT and surface data of the Indian region

    NASA Technical Reports Server (NTRS)

    Agarwal, G. C. (Principal Investigator)

    1983-01-01

    Techniques and significant results of an analysis of MAGSAT and surface data of the Indian region are described. Specific investigative tasks included: (1) use of the multilevel data at different altitudes to develop a model for variation of magnetic anomaly with altitude; (2) development of the regional model for the description of main geomagnetic field for the Indian sub-continent using MAGSAT and observatory data; (3) development of regional mathematical model of secular variations over the Indian sub-continent; and (4) downward continuation of the anomaly field obtained from MAGSAT and its combination with the existing observatory data to produce a regional anomaly map for elucidating tectonic features of the Indian sub-continent.

  13. Discrimination of ginseng cultivation regions using light stable isotope analysis.

    PubMed

    Kim, Kiwook; Song, Joo-Hyun; Heo, Sang-Cheol; Lee, Jin-Hee; Jung, In-Woo; Min, Ji-Sook

    2015-10-01

    Korean ginseng is considered to be a precious health food in Asia. Today, thieves frequently compromise ginseng farms by pervasive theft. Thus, studies regarding the characteristics of ginseng according to growth region are required in order to deter ginseng thieves and prevent theft. In this study, 6 regions were selected on the basis of Korea regional criteria (si, gun, gu), and two ginseng-farms were randomly selected from each of the 6 regions. Then 4-6 samples of ginseng were acquired from each ginseng farm. The stable isotopic compositions of H, O, C, and N of the collected ginseng samples were analyzed. As a result, differences in the hydrogen isotope ratios could be used to distinguish regional differences, and differences in the nitrogen isotope ratios yielded characteristic information regarding the farms from which the samples were obtained. Thus, stable isotope values could be used to differentiate samples according to regional differences. Therefore, stable isotope analysis serves as a powerful tool to discriminate the regional origin of Korean ginseng samples from across Korea.

  14. Regional frequency analysis of extreme precipitation for Sicily (Italy)

    NASA Astrophysics Data System (ADS)

    Forestieri, Angelo; Blenkinsop, Stephen; Fowler, Hayley; Lo Conti, Francesco; Noto, Leonardo

    2016-04-01

    The analysis of extreme precipitation has always been included among most relevant hydrological applications because of the several important activities linked to the availability of tools for the estimation of extreme rainfall quantiles. These activities include the design of hydraulic civil structures and the evaluation and management of hydraulic and hydrological risk. In this study a frequency analysis of annual maxima precipitation measurements has been carried out for the area of Sicily (Italy). A typical hierarchical regional approach has been adopted for the parameter estimation procedure based on the L-moments method. The identification of homogeneous regions within the procedure has been pursued with a data driven procedure constituted by a principal component analysis of an ensemble of selected auxiliary variables, and a K-means cluster analysis algorithm. Auxiliary variables comprise meteo-climatic information and a representation of the average seasonal distribution of intense events. Results have been evaluated by means of a Monte Carlo experiment based on the comparison between at-site and regional fitted frequency distributions. Moreover, results have been compared with previous analyses performed for the same area. The study provides an updated tool for the modelling of extreme precipitation for the area of Sicily (Italy), with different features respect to previous tools both in terms of definition of homogeneous zones and in terms of parameters of the frequency distribution. Meteo-climatic information and the seasonality of extreme events retrieved from the dataset has been proficuously exploited in the analysis.

  15. Regional Analysis of Energy, Water, Land and Climate Interactions

    NASA Astrophysics Data System (ADS)

    Tidwell, V. C.; Averyt, K.; Harriss, R. C.; Hibbard, K. A.; Newmark, R. L.; Rose, S. K.; Shevliakova, E.; Wilson, T.

    2014-12-01

    Energy, water, and land systems interact in many ways and are impacted by management and climate change. These systems and their interactions often differ in significant ways from region-to-region. To explore the coupled energy-water-land system and its relation to climate change and management a simple conceptual model of demand, endowment and technology (DET) is proposed. A consistent and comparable analysis framework is needed as climate change and resource management practices have the potential to impact each DET element, resource, and region differently. These linkages are further complicated by policy and trade agreements where endowments of one region are used to meet demands in another. This paper reviews the unique DET characteristics of land, energy and water resources across the United States. Analyses are conducted according to the eight geographic regions defined in the 2014 National Climate Assessment. Evident from the analyses are regional differences in resources endowments in land (strong East-West gradient in forest, cropland and desert), water (similar East-West gradient), and energy. Demands likewise vary regionally reflecting differences in population density and endowment (e.g., higher water use in West reflecting insufficient precipitation to support dryland farming). The effect of technology and policy are particularly evident in differences in the energy portfolios across the eight regions. Integrated analyses that account for the various spatial and temporal differences in regional energy, water and land systems are critical to informing effective policy requirements for future energy, climate and resource management. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

  16. Helioseismology of pre-emerging active regions. III. Statistical analysis

    SciTech Connect

    Barnes, G.; Leka, K. D.; Braun, D. C.; Birch, A. C.

    2014-05-01

    The subsurface properties of active regions (ARs) prior to their appearance at the solar surface may shed light on the process of AR formation. Helioseismic holography has been applied to samples taken from two populations of regions on the Sun (pre-emergence and without emergence), each sample having over 100 members, that were selected to minimize systematic bias, as described in Paper I. Paper II showed that there are statistically significant signatures in the average helioseismic properties that precede the formation of an AR. This paper describes a more detailed analysis of the samples of pre-emergence regions and regions without emergence based on discriminant analysis. The property that is best able to distinguish the populations is found to be the surface magnetic field, even a day before the emergence time. However, after accounting for the correlations between the surface field and the quantities derived from helioseismology, there is still evidence of a helioseismic precursor to AR emergence that is present for at least a day prior to emergence, although the analysis presented cannot definitively determine the subsurface properties prior to emergence due to the small sample sizes.

  17. Regional association analysis delineates a sequenced chromosome region influencing antinutritive seed meal compounds in oilseed rape.

    PubMed

    Snowdon, R J; Wittkop, B; Rezaidad, A; Hasan, M; Lipsa, F; Stein, A; Friedt, W

    2010-11-01

    This study describes the use of regional association analyses to delineate a sequenced region of a Brassica napus chromosome with a significant effect on antinutritive seed meal compounds in oilseed rape. A major quantitative trait locus (QTL) influencing seed colour, fibre content, and phenolic compounds was mapped to the same position on B. napus chromosome A9 in biparental mapping populations from two different yellow-seeded × black-seeded B. napus crosses. Sequences of markers spanning the QTL region identified synteny to a sequence contig from the corresponding chromosome A9 in Brassica rapa. Remapping of sequence-derived markers originating from the B. rapa sequence contig confirmed their position within the QTL. One of these markers also mapped to a seed colour and fibre QTL on the same chromosome in a black-seeded × black-seeded B. napus cross. Consequently, regional association analysis was performed in a genetically diverse panel of dark-seeded, winter-type oilseed rape accessions. For this we used closely spaced simple sequence repeat (SSR) markers spanning the sequence contig covering the QTL region. Correction for population structure was performed using a set of genome-wide SSR markers. The identification of QTL-derived markers with significant associations to seed colour, fibre content, and phenolic compounds in the association panel enabled the identification of positional and functional candidate genes for B. napus seed meal quality within a small segment of the B. rapa genome sequence.

  18. Multi-regional input-output analysis for China's regional CH4 emissions

    NASA Astrophysics Data System (ADS)

    Zhang, Bo; Li, Jiashuo; Peng, Beihua

    2014-03-01

    China is the largest CH4 emitter in the world. Given the importance of CH4 in greenhouse gas emission inventories, the characteristics of China's CH4 emissions at different scales deserve to be fully understood. Presented in this paper is an interprovincial input-output embodiment analysis of China's regional CH4 emissions in 2007, based on the most recently available multi-regional input-output table, and relevant CH4 emissions data. The results show that the eastern, central and western areas contribute to 48.2%, 28.6%, and 23.3% of the national total embodied emissions, respectively. Guangdong has the highest level of embodied CH4 emissions among all of the 30 regions. The Agriculture sector produces the most embodied CH4 emissions in final demand, followed by the Construction, Food Production and Tobacco Processing, and Other Service Activities sectors. Significant net transfers of embodied CH4 emission flows are identified from the central and western areas to the eastern area via interregional trade. Shanxi is the largest interregional exporter of embodied CH4 emissions. In contrast, Guangdong is the largest interregional importer. Energy activities, agricultural activities, and waste management comprise 65.6%, 30.7%, and 3.7% of the total embodied CH4 emissions in interregional trade, respectively. By using consumption-based accounting principles, the emission magnitudes, per capita emissions, and emission intensities of most eastern regions increase remarkably, while those of some central and western regions decrease largely. To achieve regional CH4 emission mitigation, comprehensive mitigation measures should be designed under consideration of regional transfer of emission responsibility.

  19. Process analysis of regional aerosol pollution during spring in the Pearl River Delta region, China

    NASA Astrophysics Data System (ADS)

    Fan, Qi; Lan, Jing; Liu, Yiming; Wang, Xuemei; Chan, Pakwai; Hong, Yingying; Feng, Yerong; Liu, Yexin; Zeng, Yanjun; Liang, Guixiong

    2015-12-01

    A numerical simulation analysis was performed for three air pollution episodes in the Pearl River Delta (PRD) region during March 2012 using the third-generation air quality modeling system Models-3/CMAQ. The results demonstrated that particulate matter was the primary pollutant for all three pollution episodes and was accompanied by relatively low visibility in the first two episodes. Weather maps indicate that the first two episodes occurred under the influence of warm, wet southerly air flow systems that led to high humidity throughout the region. The liquid phase reaction of gaseous pollutants resulted in the generation of fine secondary particles, which were identified as the primary source of pollution in the first two episodes. The third pollution episode occurred during a warming period following a cold front. Relative humidity was lower during this episode, and coarse particles were the major pollution contributor. Results of process analysis indicated that emissions sources, horizontal transport and vertical transport were the primary factors affecting pollutant concentrations within the near-surface layer during all three episodes, while aerosol processes, cloud processes, horizontal transport and vertical transport had greater influence at approximately 900 m above ground. Cloud processes had a greater impact during the first two pollution episodes because of the higher relative humidity. In addition, by comparing pollution processes from different cities (Guangzhou and Zhongshan), the study revealed that the first two pollution episodes were the result of local emissions within the PRD region and transport between surrounding cities, while the third episode exhibited prominent regional pollution characteristics and was the result of regional pollutant transport.

  20. Regional analysis of wet deposition for effects research. Project report

    SciTech Connect

    Vong, R.; Cline, S.; Reams, G.; Bernert, J.; Charles, D.

    1989-02-01

    The basis for regional analysis of precipitation amount, concentration and deposition is investigated. When performing such a spatial analysis, key issues are the data selection, data compositing, the interpolation technique, and the uncertainty of the results. Sources of data on precipitation amount and chemical composition are presented along with procedures for screening the chemical data. A review of recent work reveals that different scientists select different data sets and that data selection plays an important role in the resulting maps. Important issues in data preprocessing include temporal resolution, data stratification into geographic regions, and choosing between direct and indirect methods for interpolating wet deposition. Available spatial interpolation techniques are discussed. The geostatistical technique, kriging, is discussed in detail to allow other researchers the benefit of previous applications to precipitation chemistry. Procedures for generating and checking uncertainty estimates are discussed.

  1. CRITICA: coding region identification tool invoking comparative analysis

    NASA Technical Reports Server (NTRS)

    Badger, J. H.; Olsen, G. J.; Woese, C. R. (Principal Investigator)

    1999-01-01

    Gene recognition is essential to understanding existing and future DNA sequence data. CRITICA (Coding Region Identification Tool Invoking Comparative Analysis) is a suite of programs for identifying likely protein-coding sequences in DNA by combining comparative analysis of DNA sequences with more common noncomparative methods. In the comparative component of the analysis, regions of DNA are aligned with related sequences from the DNA databases; if the translation of the aligned sequences has greater amino acid identity than expected for the observed percentage nucleotide identity, this is interpreted as evidence for coding. CRITICA also incorporates noncomparative information derived from the relative frequencies of hexanucleotides in coding frames versus other contexts (i.e., dicodon bias). The dicodon usage information is derived by iterative analysis of the data, such that CRITICA is not dependent on the existence or accuracy of coding sequence annotations in the databases. This independence makes the method particularly well suited for the analysis of novel genomes. CRITICA was tested by analyzing the available Salmonella typhimurium DNA sequences. Its predictions were compared with the DNA sequence annotations and with the predictions of GenMark. CRITICA proved to be more accurate than GenMark, and moreover, many of its predictions that would seem to be errors instead reflect problems in the sequence databases. The source code of CRITICA is freely available by anonymous FTP (rdp.life.uiuc.edu in/pub/critica) and on the World Wide Web (http:/(/)rdpwww.life.uiuc.edu).

  2. Regional analysis of ground and above-ground climate

    SciTech Connect

    Not Available

    1981-12-01

    The regional suitability of underground construction as a climate control technique is discussed with reference to (1) a bioclimatic analysis of long-term weather data for 29 locations in the United States to determine appropriate above ground climate control techniques, (2) a data base of synthesized ground temperatures for the coterminous United States, and (3) monthly dew point ground temperature comparisons for identifying the relative likelihood of condensation from one region to another. It is concluded that the suitability of earth tempering as a practice and of specific earth-sheltered design stereotypes varies geographically; while the subsurface almost always provides a thermal advantage on its own terms when compared to above ground climatic data, it can, nonetheless, compromise the effectiveness of other, regionally more important climate control techniques. Also contained in the report are reviews of above and below ground climate mapping schemes related to human comfort and architectural design, and detailed description of a theoretical model of ground temperature, heat flow, and heat storage in the ground. Strategies of passive climate control are presented in a discussion of the building bioclimatic analysis procedure which has been applied in a computer analysis of 30 years of weather data for each of 29 locations in the United States.

  3. Knowledge base navigator facilitating regional analysis inter-tool communication.

    SciTech Connect

    Hampton, Jeffery Wade; Chael, Eric Paul; Hart, Darren M.; Merchant, Bion John; Chown, Matthew N.

    2004-08-01

    To make use of some portions of the National Nuclear Security Administration (NNSA) Knowledge Base (KB) for which no current operational monitoring applications were available, Sandia National Laboratories have developed a set of prototype regional analysis tools (MatSeis, EventID Tool, CodaMag Tool, PhaseMatch Tool, Dendro Tool, Infra Tool, etc.), and we continue to maintain and improve these. Individually, these tools have proven effective in addressing specific monitoring tasks, but collectively their number and variety tend to overwhelm KB users, so we developed another application - the KB Navigator - to launch the tools and facilitate their use for real monitoring tasks. The KB Navigator is a flexible, extensible java application that includes a browser for KB data content, as well as support to launch any of the regional analysis tools. In this paper, we will discuss the latest versions of KB Navigator and the regional analysis tools, with special emphasis on the new overarching inter-tool communication methodology that we have developed to make the KB Navigator and the tools function together seamlessly. We use a peer-to-peer communication model, which allows any tool to communicate with any other. The messages themselves are passed as serialized XML, and the conversion from Java to XML (and vice versa) is done using Java Architecture for XML Binding (JAXB).

  4. Bioinformatics analysis of the epitope regions for norovirus capsid protein

    PubMed Central

    2013-01-01

    Background Norovirus is the major cause of nonbacterial epidemic gastroenteritis, being highly prevalent in both developing and developed countries. Despite of the available monoclonal antibodies (MAbs) for different sub-genogroups, a comprehensive epitope analysis based on various bioinformatics technology is highly desired for future potential antibody development in clinical diagonosis and treatment. Methods A total of 18 full-length human norovirus capsid protein sequences were downloaded from GenBank. Protein modeling was performed with program Modeller 9.9. The modeled 3D structures of capsid protein of norovirus were submitted to the protein antigen spatial epitope prediction webserver (SEPPA) for predicting the possible spatial epitopes with the default threshold. The results were processed using the Biosoftware. Results Compared with GI, we found that the GII genogroup had four deletions and two special insertions in the VP1 region. The predicted conformational epitope regions mainly concentrated on N-terminal (1~96), Middle Part (298~305, 355~375) and C-terminal (560~570). We find two common epitope regions on sequences for GI and GII genogroup, and also found an exclusive epitope region for GII genogroup. Conclusions The predicted conformational epitope regions of norovirus VP1 mainly concentrated on N-terminal, Middle Part and C-terminal. We find two common epitope regions on sequences for GI and GII genogroup, and also found an exclusive epitope region for GII genogroup. The overlapping with experimental epitopes indicates the important role of latest computational technologies. With the fast development of computational immunology tools, the bioinformatics pipeline will be more and more critical to vaccine design. PMID:23514273

  5. REGIONAL-SCALE WIND FIELD CLASSIFICATION EMPLOYING CLUSTER ANALYSIS

    SciTech Connect

    Glascoe, L G; Glaser, R E; Chin, H S; Loosmore, G A

    2004-06-17

    The classification of time-varying multivariate regional-scale wind fields at a specific location can assist event planning as well as consequence and risk analysis. Further, wind field classification involves data transformation and inference techniques that effectively characterize stochastic wind field variation. Such a classification scheme is potentially useful for addressing overall atmospheric transport uncertainty and meteorological parameter sensitivity issues. Different methods to classify wind fields over a location include the principal component analysis of wind data (e.g., Hardy and Walton, 1978) and the use of cluster analysis for wind data (e.g., Green et al., 1992; Kaufmann and Weber, 1996). The goal of this study is to use a clustering method to classify the winds of a gridded data set, i.e, from meteorological simulations generated by a forecast model.

  6. Analysis of Mitochondrial Control Region Using Sanger Sequencing.

    PubMed

    Ballard, David

    2016-01-01

    The analysis of mitochondrial DNA (mtDNA) is an established forensic tool and has been used extensively to aid with both the identification of human remains and evidence recovered from scenes of crime. The biology of mtDNA confers both advantages and disadvantages when using it as a tool for identification. It benefits from a high copy number, which facilitates analysis from samples with highly degraded DNA or trace amounts of DNA, but the maternal mode of inheritance restricts its power of discrimination. With Next Generation Sequencing being used in research and some forensic casework laboratories the scope of mtDNA analysis in forensic casework may expand in the near future. Currently, however, most casework laboratories rely on Sanger sequencing and an established method for analyzing the hypervariable sequence regions is described. PMID:27259738

  7. Spatial data analysis for exploration of regional scale geothermal resources

    NASA Astrophysics Data System (ADS)

    Moghaddam, Majid Kiavarz; Noorollahi, Younes; Samadzadegan, Farhad; Sharifi, Mohammad Ali; Itoi, Ryuichi

    2013-10-01

    Defining a comprehensive conceptual model of the resources sought is one of the most important steps in geothermal potential mapping. In this study, Fry analysis as a spatial distribution method and 5% well existence, distance distribution, weights of evidence (WofE), and evidential belief function (EBFs) methods as spatial association methods were applied comparatively to known geothermal occurrences, and to publicly-available regional-scale geoscience data in Akita and Iwate provinces within the Tohoku volcanic arc, in northern Japan. Fry analysis and rose diagrams revealed similar directional patterns of geothermal wells and volcanoes, NNW-, NNE-, NE-trending faults, hotsprings and fumaroles. Among the spatial association methods, WofE defined a conceptual model correspondent with the real world situations, approved with the aid of expert opinion. The results of the spatial association analyses quantitatively indicated that the known geothermal occurrences are strongly spatially-associated with geological features such as volcanoes, craters, NNW-, NNE-, NE-direction faults and geochemical features such as hotsprings, hydrothermal alteration zones and fumaroles. Geophysical data contains temperature gradients over 100 °C/km and heat flow over 100 mW/m2. In general, geochemical and geophysical data were better evidence layers than geological data for exploring geothermal resources. The spatial analyses of the case study area suggested that quantitative knowledge from hydrothermal geothermal resources was significantly useful for further exploration and for geothermal potential mapping in the case study region. The results can also be extended to the regions with nearly similar characteristics.

  8. Mental health network governance: comparative analysis across Canadian regions

    PubMed Central

    Wiktorowicz, Mary E; Fleury, Marie-Josée; Adair, Carol E; Lesage, Alain; Goldner, Elliot; Peters, Suzanne

    2010-01-01

    Objective Modes of governance were compared in ten local mental health networks in diverse contexts (rural/urban and regionalized/non-regionalized) to clarify the governance processes that foster inter-organizational collaboration and the conditions that support them. Methods Case studies of ten local mental health networks were developed using qualitative methods of document review, semi-structured interviews and focus groups that incorporated provincial policy, network and organizational levels of analysis. Results Mental health networks adopted either a corporate structure, mutual adjustment or an alliance governance model. A corporate structure supported by regionalization offered the most direct means for local governance to attain inter-organizational collaboration. The likelihood that networks with an alliance model developed coordination processes depended on the presence of the following conditions: a moderate number of organizations, goal consensus and trust among the organizations, and network-level competencies. In the small and mid-sized urban networks where these conditions were met their alliance realized the inter-organizational collaboration sought. In the large urban and rural networks where these conditions were not met, externally brokered forms of network governance were required to support alliance based models. Discussion In metropolitan and rural networks with such shared forms of network governance as an alliance or voluntary mutual adjustment, external mediation by a regional or provincial authority was an important lever to foster inter-organizational collaboration. PMID:21289999

  9. Cytogenetic Analysis of Chromosome Region 73ad of Drosophila Melanogaster

    PubMed Central

    Belote, J. M.; Hoffmann, F. M.; McKeown, M.; Chorsky, R. L.; Baker, B. S.

    1990-01-01

    The 73AD salivary chromosome region of Drosophila melanogaster was subjected to mutational analysis in order to (1) generate a collection of chromosome breakpoints that would allow a correlation between the genetic, cytological and molecular maps of the region and (2) define the number and gross organization of complementation groups within this interval. Eighteen complementation groups were defined and mapped to the 73A2-73B7 region, which is comprised of 17 polytene bands. These complementation groups include the previously known scarlet (st), transformer (tra) and Dominant temperature-sensitive lethal-5 (DTS-5) genes, as well as 13 new recessive lethal complementation groups and one male and female sterile locus. One of the newly identified lethal complementation groups corresponds to the molecularly identified abl locus, and another gene is defined by mutant alleles that exhibit an interaction with with the abl mutants. We also recovered several mutations in the 73C1-D1.2 interval, representing two lethal complementation groups, one new visible mutant, plucked (plk), and a previously known visible, dark body (db). There is no evidence of a complex of sex determination genes in the region near tra. PMID:2118870

  10. Heart deformation analysis: measuring regional myocardial velocity with MR imaging.

    PubMed

    Lin, Kai; Collins, Jeremy D; Chowdhary, Varun; Markl, Michael; Carr, James C

    2016-07-01

    The aim of the present study was to test the hypothesis that heart deformation analysis (HDA) may serve as an alternative for the quantification of regional myocardial velocity. Nineteen healthy volunteers (14 male and 5 female) without documented cardiovascular diseases were recruited following the approval of the institutional review board (IRB). For each participant, cine images (at base, mid and apex levels of the left ventricle [LV]) and tissue phase mapping (TPM, at same short-axis slices of the LV) were acquired within a single magnetic resonance (MR) scan. Regional myocardial velocities in radial and circumferential directions acquired with HDA (Vrr and Vcc) and TPM (Vr and VФ) were measured during the cardiac cycle. HDA required shorter processing time compared to TPM (2.3 ± 1.1 min/case vs. 9.5 ± 3.7 min/case, p < 0.001). Moderate to good correlations between velocity components measured with HDA and TPM could be found on multiple myocardial segments (r = 0.460-0.774) and slices (r = 0.409-0.814) with statistical significance (p < 0.05). However, significant biases of velocity measures at regional myocardial areas between HDA and TPM were also noticed. By providing comparable velocity measures as TPM does, HDA may serve as an alternative for measuring regional myocardial velocity with a faster image processing procedure. PMID:27076222

  11. Heart deformation analysis: measuring regional myocardial velocity with MR imaging.

    PubMed

    Lin, Kai; Collins, Jeremy D; Chowdhary, Varun; Markl, Michael; Carr, James C

    2016-07-01

    The aim of the present study was to test the hypothesis that heart deformation analysis (HDA) may serve as an alternative for the quantification of regional myocardial velocity. Nineteen healthy volunteers (14 male and 5 female) without documented cardiovascular diseases were recruited following the approval of the institutional review board (IRB). For each participant, cine images (at base, mid and apex levels of the left ventricle [LV]) and tissue phase mapping (TPM, at same short-axis slices of the LV) were acquired within a single magnetic resonance (MR) scan. Regional myocardial velocities in radial and circumferential directions acquired with HDA (Vrr and Vcc) and TPM (Vr and VФ) were measured during the cardiac cycle. HDA required shorter processing time compared to TPM (2.3 ± 1.1 min/case vs. 9.5 ± 3.7 min/case, p < 0.001). Moderate to good correlations between velocity components measured with HDA and TPM could be found on multiple myocardial segments (r = 0.460-0.774) and slices (r = 0.409-0.814) with statistical significance (p < 0.05). However, significant biases of velocity measures at regional myocardial areas between HDA and TPM were also noticed. By providing comparable velocity measures as TPM does, HDA may serve as an alternative for measuring regional myocardial velocity with a faster image processing procedure.

  12. GSLIB-style programs for discriminant analysis and regionalized classification

    USGS Publications Warehouse

    Bohling, G.C.

    1997-01-01

    Discriminant analysis is a statistical technique used to predict the group membership of a set of multivariate observations, each of which is assumed to arise from one of a set of distinct classes or groups. Each group is characterized by a certain distribution in multivariate space, and group allocations are based on the similarity of each sample to each group. Assuming multivariate normality, generalized distance measures based on the squared Mahalanobis distance from each sample to each group centroid arise as the natural measure of similarity. One can allocate samples to groups either on the basis of minimum generalized distance or, equivalently, maximum posterior probability of group membership. In earth science applications samples are often associated with geographic locations. In this situation regionalized classification can be used to produce a map representing group membership throughout the sampled domain. This can be accomplished by interpolating either generalized distances or membership probabilities from sample locations to regularly spaced grid nodes and comparing resulting grids to produce a classification map. This paper presents a set of GSLIB-style FORTRAN programs for performing discriminant analysis and regionalized classification. The program disco performs discriminant analysis and the programs xmd2cls and prb2cls combine interpolated distances and probabilities, respectively, to create a grid of predicted classifications. In addition, the utility program colbind allows the user to combine selected columns from different GSLIB-style data files into one file. ?? 1997 Elsevier Science Ltd.

  13. Metagenomic analysis of fungal taxa inhabiting Mecca region, Saudi Arabia.

    PubMed

    Moussa, Tarek A A; Al-Zahrani, Hassan S; Almaghrabi, Omar A; Sabry, Nevien M; Fuller, Michael P

    2016-09-01

    The data presented contains the sequences of fungal Internal Transcribed Spacer (ITS) and 18S rRNA gene from a metagenome of the Mecca region, Saudi Arabia. Sequences were amplified using fungal specific primers, which amplified the amplicon aligned between the 18S and 28S rRNA genes. A total of 460 fungal species belonging to 133 genera, 58 families, 33 orders, 13 classes and 4 phyla were identified in four contrasting locations. The raw sequencing data used to perform this analysis along with FASTQ file are located in the NCBI Sequence Read Archive (SRA) under accession numbers: SRR3150823, SRR3144873, SRR3150825 and SRR3150846. PMID:27508121

  14. Multifractal analysis of forest fires in complex regions

    NASA Astrophysics Data System (ADS)

    Vega Orozco, C. D.; Kanevski, M.; Golay, J.; Tonini, M.; Conedera, M.

    2012-04-01

    Forest fires can be studied as point processes where the ignition points represent the set of locations of the observed events in a defined study region. Their spatial and temporal patterns can be characterized by their fractal properties; which quantify the global aspect of the geometry of the support data. However, a monofractal dimension can not completely describe the pattern structure and related scaling properties. Enhancements in fractal theory had developed the multifractal concept which describes the measures from which interlinked fractal sets can be retrieved and characterized by their fractal dimension and singularity strength [1, 2]. The spatial variability of forest fires is conditioned by an intermixture of human, topographic, meteorological and vegetation factors. This heterogeneity makes fire patterns complex scale-invariant processes difficult to be depicted by a single scale. Therefore, this study proposes an exploratory data analysis through a multifractal formalism to characterize and quantify the multiscaling behaviour of the spatial distribution pattern of this phenomenon in a complex region like the Swiss Alps. The studied dataset is represented by 2,401 georeferenced forest fire ignition points in canton Ticino, Switzerland, in a 40-years period from 1969 to 2008. Three multifractal analyses are performed: one assesses the multiscaling behaviour of fire occurrence probability of the support data (raw data) and four random patterns simulated within three different support domains; second analysis studies the multifractal behavior of patterns from anthropogenic and natural ignited fires (arson-, accident- and lightning-caused fires); and third analysis aims at detecting scale-dependency of the size of burned area. To calculate the generalized dimensions, Dq, a generalization of the box counting methods is carried out based on the generalization of Rényi information of the qth order moment of the probability distribution. For q > 0, Dq

  15. Source-Type Identification Analysis Using Regional Seismic Moment Tensors

    NASA Astrophysics Data System (ADS)

    Chiang, A.; Dreger, D. S.; Ford, S. R.; Walter, W. R.

    2012-12-01

    Waveform inversion to determine the seismic moment tensor is a standard approach in determining the source mechanism of natural and manmade seismicity, and may be used to identify, or discriminate different types of seismic sources. The successful applications of the regional moment tensor method at the Nevada Test Site (NTS) and the 2006 and 2009 North Korean nuclear tests (Ford et al., 2009a, 2009b, 2010) show that the method is robust and capable for source-type discrimination at regional distances. The well-separated populations of explosions, earthquakes and collapses on a Hudson et al., (1989) source-type diagram enables source-type discrimination; however the question remains whether or not the separation of events is universal in other regions, where we have limited station coverage and knowledge of Earth structure. Ford et al., (2012) have shown that combining regional waveform data and P-wave first motions removes the CLVD-isotropic tradeoff and uniquely discriminating the 2009 North Korean test as an explosion. Therefore, including additional constraints from regional and teleseismic P-wave first motions enables source-type discrimination at regions with limited station coverage. We present moment tensor analysis of earthquakes and explosions (M6) from Lop Nor and Semipalatinsk test sites for station paths crossing Kazakhstan and Western China. We also present analyses of smaller events from industrial sites. In these sparse coverage situations we combine regional long-period waveforms, and high-frequency P-wave polarity from the same stations, as well as from teleseismic arrays to constrain the source type. Discrimination capability with respect to velocity model and station coverage is examined, and additionally we investigate the velocity model dependence of vanishing free-surface traction effects on seismic moment tensor inversion of shallow sources and recovery of explosive scalar moment. Our synthetic data tests indicate that biases in scalar

  16. Ionospheric mapping by regional spherical harmonic analysis: New developments

    NASA Astrophysics Data System (ADS)

    de Franceschi, G.; de Santis, A.; Pau, S.

    1994-12-01

    The method of Spherical Cap Harmonic Analysis (SCHA) /1/ has been applied /2/ to the critical frequency of the F2 layer (f0F2) for mapping and modelling it over Europe. The model was based on longitudinal expansion in Fourier series, and fractional Legendre colatitudinal functions over a spherical cap including Europe. Here a new and simpler technique, previously developed for the regional modelling of the geomagnetic field /3/, is introduced and described. The basic improvement of the new method, called Adjusted Spherical Harmonic Analysis (ASHA), implies the use of conventional Spherical Harmonic (SH) functions after the colatitude interval is adjusted to that of a hemisphere. Examples are shown dealing with the application of ASHA to retrospective mapping and modelling of the monthly medians of f0F2 over Europe.

  17. High fertility regions in Bangladesh: a marriage cohort analysis.

    PubMed

    Islam, Sabina; Islam, Mohammad Amirul; Padmadas, Sabu S

    2010-11-01

    Bangladesh represents one of the few countries in south Asia where the pace of fertility decline has been unprecedented over the last three decades. Although there has been significant reduction in fertility levels at the national level, regional variations continue to persist, especially in Sylhet and Chittagong where the total fertility rates are well above the country average. Using data from three consecutive Bangladesh Demographic and Health Surveys (BDHSs) this paper assesses how fertility patterns in Sylhet and Chittagong differ from the rest of Bangladesh through a marriage cohort analysis of the parity progression ratios, and examines the factors determining the transition rates to higher parity in these two regions. Three cohorts of women are identified: those married during 1965-1974, 1975-84 and 1985-94. The results show that the probability that a woman from the recent cohort in Sylhet or Chittagong who had a third birth will have a fourth birth is nearly twice that of her counterpart in other regions. Social characteristics such as education, occupation, religion and residence have no effect on fertility in Sylhet and Chittagong. Additional period-specific analyses using the 2007 BDHS data show that women in Sylhet are considerably more likely to have a third or fourth birth sooner than those in other divisions, especially Khulna. The findings call for specific family planning policy interventions in Sylhet and Chittagong ensuring gender equity, promoting female education and delaying entry into marriage and childbearing.

  18. Analysis of the Mycobacterium tuberculosis 85A antigen promoter region.

    PubMed Central

    Kremer, L; Baulard, A; Estaquier, J; Content, J; Capron, A; Locht, C

    1995-01-01

    A mycobacterial expression-secretion vector was constructed in which the Escherichia coli alkaline phosphatase (phoA) reporter gene was placed under the control of the Mycobacterium tuberculosis 85A promoter and secretion signal sequences. In recombinant Mycobacterium smegmatis and Mycobacterium bovis BCG, PhoA activity could readily be detected on the mycobacterial cell surface and in the culture supernatant, indicating that the 85A signals can drive heterologous expression and secretion in both species. In contrast to the mycobacteria, the 85A promoter did not function in E. coli. We mapped the promoter region by progressive deletions using BAL 31 exonuclease and by primer extension analysis. Insertion and deletion mutations within the promoter region indicated that, unlike most E. coli promoters but similar to Streptomyces promoters, the position of the putative -35 region was not critical for efficient promoter activity. In addition, we investigated the ability of the identified signals to drive the production and secretion in BCG of recombinant Schistosoma mansoni glutathione S-transferase (Sm28GST), a protective antigen against schistosomiasis. BALB/c mice immunized with the recombinant BCG by a single dose exhibited a weak but specific T-cell response to Sm28GST. PMID:7836298

  19. Analysis of national and regional landslide inventories in Europe

    NASA Astrophysics Data System (ADS)

    Hervás, J.; Van Den Eeckhaut, M.

    2012-04-01

    methods only occasionally included advanced technologies such as remote sensing. With regard to the inventory maps of most databases, the analysis illustrates the high variability of scales (between 1:10 000 and 1:1 M for national inventories, and from 1:10 000 to 1:25 000 for regional inventories), landslide classification systems and representation symbology. It also shows the difficulties to precisely locate landslides referred to in historical documents only. In addition, information on landslide magnitude, geometrical characteristics and age reported in national and regional databases greatly differs, even within the same database, as it strongly depends on the objectives of the database, the data collection methods used, the resources employed and the remaining landslide expression. In particular, landslide initiation and/or reactivation dates are generally estimated in less than 25% of records, thus making hazard and hence risk assessment difficult. In most databases, scarce information on landslide impact (damage and casualties) further hinders risk assessment at regional and national scales. Estimated landslide activity, which is very relevant to early warning and emergency management, is only included in half of the national databases and restricted to part of the landslides registered. Moreover, the availability of this information is not substantially higher in regional databases than in national ones. Most landslide databases further included information on geo-environmental characteristics at the landslide site, which is very important for modelling landslide zoning. Although a number of national and regional agencies provide free web-GIS visualisation services, the potential of existing landslide databases is often not fully exploited as, in many cases, access by the general public and external researchers is restricted. Additionally, the availability of information only in the national or local language is common to most national and regional databases

  20. A Preliminary Tsunami Vulnerability Analysis for Yenikapi Region in Istanbul

    NASA Astrophysics Data System (ADS)

    Ceren Cankaya, Zeynep; Suzen, Lutfi; Cevdet Yalciner, Ahmet; Kolat, Cagil; Aytore, Betul; Zaytsev, Andrey

    2015-04-01

    One of the main requirements during post disaster recovery operations is to maintain proper transportation and fluent communication at the disaster areas. Ports and harbors are the main transportation hubs which must work with proper performance at all times especially after the disasters. Resilience of coastal utilities after earthquakes and tsunamis have major importance for efficient and proper rescue and recovery operations soon after the disasters. Istanbul is a mega city with its various coastal utilities located at the north coast of the Sea of Marmara. At Yenikapi region of Istanbul, there are critical coastal utilities and vulnerable coastal structures and critical activities occur daily. Fishery ports, commercial ports, small craft harbors, passenger terminals of intercity maritime transportation, water front commercial and/or recreational structures are some of the examples of coastal utilization which are vulnerable against marine disasters. Therefore their vulnerability under tsunami or any other marine hazard to Yenikapi region of Istanbul is an important issue. In this study, a methodology of vulnerability analysis under tsunami attack is proposed with the applications to Yenikapi region. In the study, high resolution (1m) GIS database of Istanbul Metropolitan Municipality (IMM) is used and analyzed by using GIS implementation. The bathymetry and topography database and the vector dataset containing all buildings/structures/infrastructures in the study area are obtained for tsunami numerical modeling for the study area. GIS based tsunami vulnerability assessment is conducted by applying the Multi-criteria Decision Making Analysis (MCDA). The tsunami parameters from deterministically defined worst case scenarios are computed from the simulations using tsunami numerical model NAMI DANCE. The vulnerability parameters in the region due to two different classifications i) vulnerability of buildings/structures and ii) vulnerability of (human) evacuation

  1. Regional price targets appropriate for advanced coal extraction. [Forecasting to 1985 and 2000; USA; Regional analysis

    SciTech Connect

    Terasawa, K.L.; Whipple, D.W.

    1980-12-01

    The object of the study is to provide a methodology for predicting coal prices in regional markets for the target time frames 1985 and 2000 that could subsequently be used to guide the development of an advanced coal extraction system. The model constructed for the study is a supply and demand model that focuses on underground mining, since the advanced technology is expected to be developed for these reserves by the target years. The supply side of the model is based on coal reserve data generated by Energy and Environmental Analysis, Inc. (EEA). Given this data and the cost of operating a mine (data from US Department of Energy and Bureau of Mines), the Minimum Acceptable Selling Price (MASP) is obtained. The MASP is defined as the smallest price that would induce the producer to bring the mine into production, and is sensitive to the current technology and to assumptions concerning miner productivity. Based on this information, market supply curves can then be generated. On the demand side of the model, demand by region is calculated based on an EEA methodology that emphasizes demand by electric utilities and demand by industry. The demand and supply curves are then used to obtain the price targets. This last step is accomplished by allocating the demands among the suppliers so that the combined cost of producing and transporting coal is minimized.

  2. Geophysical analysis for the Ada Tepe region (Bulgaria) - case study

    NASA Astrophysics Data System (ADS)

    Trifonova, Petya; Metodiev, Metodi; Solakov, Dimcho; Simeonova, Stela; Vatseva, Rumiana

    2013-04-01

    According to the current archeological investigations Ada Tepe is the oldest gold mine in Europe with Late Bronze and Early Iron age. It is a typical low-sulfidation epithermal gold deposit and is hosted in Maastrichtian-Paleocene sedimentary rocks above a detachment fault contact with underlying Paleozoic metamorphic rocks. Ada Tepe (25o.39'E; 41o.25'N) is located in the Eastern Rhodope unit. The region is highly segmented despite the low altitude (470-750 m) due to widespread volcanic and sediment rocks susceptible to torrential erosion during the cold season. Besides the thorough geological exploration focused on identifying cost-effective stocks of mineral resources, a detailed geophysical analysis concernig diferent stages of the gold extraction project was accomplished. We present the main results from the geophysical investigation aimed to clarify the complex seismotectonic setting of the Ada Tepe site region. The overall study methodology consists of collecting, reviewing and estimating geophysical and seismological information to constrain the model used for seismic hazard assessment of the area. Geophysical information used in the present work consists of gravity, geomagnetic and seismological data. Interpretation of gravity data is applied to outline the axes of steep gravity transitions marked as potential axes of faults, flexures and other structures of dislocation. Direct inverse techniques are also utilized to estimate the form and depth of anomalous sources. For the purposes of seismological investigation of the Ada Tepe site region an earthquake catalogue is compiled for the time period 510BC - 2011AD. Statistical parameters of seismicity - annual seismic rate parameter, ?, and the b-value of the Gutenberg-Richter exponential relation for Ada Tepe site region, are estimated. All geophysical datasets and derived results are integrated using GIS techniques ensuring interoperability of data when combining, processing and visualizing obtained

  3. Regional climate network analysis from irregularly sampled satellite data

    NASA Astrophysics Data System (ADS)

    Wiedermann, Marc; Sykioti, Olga; Papadimitriou, Constantinos; Balasis, George; Kurths, Jürgen; Donner, Reik V.

    2016-04-01

    With the increasing availability of remote sensing data Earth System Analysis has taken a great step forward. This type of data, however, also harbors a variety of conceptual complications. First, depending on whether the satellite is orbiting on an ascending or descending path systematic biases are induced into the data, and both measurements cannot be evaluated simultaneously without an appropriate preprocessing. Second, remote sensing data are usually not produced with equidistant temporal sampling, but might contain huge gaps and irregular time steps. Third, the time period covered by the data is often too short to perform an appropriate seasonal detrending. Here, we propose a general framework to create homogeneous anomalized time series for a (multivariate) satellite data set by combining time series from ascending and descending satellite paths or even different missions using principal component and singular spectrum analysis. We then exemplarily apply our method to sea surface temperature data obtained from the SMOS satellite mission to study small-scale regional correlative patterns covering different parts of the Aegean Sea. To address the issue of irregular temporal sampling we utilize a kernel weighted version of the linear cross-correlation function to compute lagged correlations between all pairs of grid points in the data set. By binarizing the thus obtained matrices, we obtain a network representation of the system's similarity structure. Ultimately, we use tools from complex network theory to study regional interdependencies in the study area for different time lags of up to forty days. We find that the obtained networks represent well the observed average wind directions and speeds and display interaction structures between small regions in the Aegean Sea, which are in good agreement with earlier observations. In a second step, we extend the study area to the whole Mediterranean and Black Sea and investigate lagged interactions between these two

  4. Regional Frequency and Uncertainty Analysis of Extreme Precipitation in Bangladesh

    NASA Astrophysics Data System (ADS)

    Mortuza, M. R.; Demissie, Y.; Li, H. Y.

    2014-12-01

    Increased frequency of extreme precipitations, especially those with multiday durations, are responsible for recent urban floods and associated significant losses of lives and infrastructures in Bangladesh. Reliable and routinely updated estimation of the frequency of occurrence of such extreme precipitation events are thus important for developing up-to-date hydraulic structures and stormwater drainage system that can effectively minimize future risk from similar events. In this study, we have updated the intensity-duration-frequency (IDF) curves for Bangladesh using daily precipitation data from 1961 to 2010 and quantified associated uncertainties. Regional frequency analysis based on L-moments is applied on 1-day, 2-day and 5-day annual maximum precipitation series due to its advantages over at-site estimation. The regional frequency approach pools the information from climatologically similar sites to make reliable estimates of quantiles given that the pooling group is homogeneous and of reasonable size. We have used Region of influence (ROI) approach along with homogeneity measure based on L-moments to identify the homogenous pooling groups for each site. Five 3-parameter distributions (i.e., Generalized Logistic, Generalized Extreme value, Generalized Normal, Pearson Type Three, and Generalized Pareto) are used for a thorough selection of appropriate models that fit the sample data. Uncertainties related to the selection of the distributions and historical data are quantified using the Bayesian Model Averaging and Balanced Bootstrap approaches respectively. The results from this study can be used to update the current design and management of hydraulic structures as well as in exploring spatio-temporal variations of extreme precipitation and associated risk.

  5. Barcode localization with region based gradient statistical analysis

    NASA Astrophysics Data System (ADS)

    Chen, Zhiyuan; Zhao, Yuming

    2015-03-01

    Barcode, as a kind of data representation method, has been adopted in a wide range of areas. Especially with the rise of the smart phone and the hand-held device equipped with high resolution camera and great computation power, barcode technique has found itself more extensive applications. In industrial field, barcode reading system is highly demanded to be robust to blur, illumination change, pitch, rotation, and scale change. This paper gives a new idea in localizing barcode under a region-based gradient statistical analysis. Making this idea as the basis, four algorithms have been developed for dealing with Linear, PDF417, Stacked 1D1D and Stacked 1D2D barcodes respectively. After being evaluated on our challenging dataset with more than 17000 images, the result shows that our methods can achieve an average localization accuracy of 82.17% with respect to 8 kinds of distortions and within an average time of 12 ms.

  6. Regionalized Lunar South Pole Surface Navigation System Analysis

    NASA Technical Reports Server (NTRS)

    Welch, Bryan W.

    2008-01-01

    Apollo missions utilized Earth-based assets for navigation because the landings took place at lunar locations in constant view from the Earth. The new exploration campaign to the lunar south pole region will have limited Earth visibility, but the extent to which a navigation system comprised solely of Earth-based tracking stations will provide adequate navigation solutions in this region is unknown. This report presents a dilution-of-precision (DoP)-based, stationary surface navigation analysis of the performance of multiple lunar satellite constellations, Earth-based deep space network assets, and combinations thereof. Results show that kinematic and integrated solutions cannot be provided by the Earth-based deep space network stations. Also, the stationary surface navigation system needs to be operated either as a two-way navigation system or as a one-way navigation system with local terrain information, while the position solution is integrated over a short duration of time with navigation signals being provided by a lunar satellite constellation.

  7. Attainable region analysis for continuous production of second generation bioethanol

    PubMed Central

    2013-01-01

    Background Despite its semi-commercial status, ethanol production from lignocellulosics presents many complexities not yet fully solved. Since the pretreatment stage has been recognized as a complex and yield-determining step, it has been extensively studied. However, economic success of the production process also requires optimization of the biochemical conversion stage. This work addresses the search of bioreactor configurations with improved residence times for continuous enzymatic saccharification and fermentation operations. Instead of analyzing each possible configuration through simulation, we apply graphical methods to optimize the residence time of reactor networks composed of steady-state reactors. Although this can be easily made for processes described by a single kinetic expression, reactions under analysis do not exhibit this feature. Hence, the attainable region method, able to handle multiple species and its reactions, was applied for continuous reactors. Additionally, the effects of the sugars contained in the pretreatment liquor over the enzymatic hydrolysis and simultaneous saccharification and fermentation (SSF) were assessed. Results We obtained candidate attainable regions for separate enzymatic hydrolysis and fermentation (SHF) and SSF operations, both fed with pretreated corn stover. Results show that, despite the complexity of the reaction networks and underlying kinetics, the reactor networks that minimize the residence time can be constructed by using plug flow reactors and continuous stirred tank reactors. Regarding the effect of soluble solids in the feed stream to the reactor network, for SHF higher glucose concentration and yield are achieved for enzymatic hydrolysis with washed solids. Similarly, for SSF, higher yields and bioethanol titers are obtained using this substrate. Conclusions In this work, we demonstrated the capabilities of the attainable region analysis as a tool to assess the optimal reactor network with minimum

  8. Aerosol analysis for the regional air pollution study. Final report

    SciTech Connect

    Jaklevic, J.M.; Gatti, R.C.; Goulding, F.S.; Loo, B.W.; Thompson, A.C.

    1980-05-01

    The design and operation of an aerosol sampling and analysis program implemented during the 1975 to 1977 St. Louis Regional Air Pollution Study is described. A network of ten samplers were operated at selected sites in the St. Louis area and the total mass and elemental composition of the collected particulates were determined. Sampling periods of 2 to 24 hours were employed. The samplers were capable of collecting aerosol particles in two distinct size ranges corresponding to fine (< 2.4 ..mu..m diameter) and coarse (> 2.4 ..mu..m diameter) particles. This unique feature allowed the separation of the particulate samples into two distinct fractions with differing chemical origins and health effects. The analysis methods were also newly developed for use in the St. Louis RAPS study. Total particulate mass was measured by a beta-particle attenuation method in which a precision of +- 5 ..mu..m/cm/sup 2/ could be obtained in a one minute measurement time. Elemental compositions of the samples were determined using an energy dispersive x-ray fluorescence method in which detectable limits of 5 ng/cm/sup 2/ or less were routinely achieved for elements ranging in atomic number from Al to Pb. The advantages of these analytical methods over more conventional techniques arise from the ability to automate the measurements. During the course of the two year study, a total of more than 35,000 individual samples were processed and a total of 28 concentrations measured for each sample.

  9. Regionalization of subsurface stormflow parameters of hydrologic models: Derivation from regional analysis of streamflow recession curves

    NASA Astrophysics Data System (ADS)

    Ye, Sheng; Li, Hong-Yi; Huang, Maoyi; Ali, Melkamu; Leng, Guoyong; Leung, L. Ruby; Wang, Shao-wen; Sivapalan, Murugesu

    2014-11-01

    Subsurface stormflow is an important component of the rainfall-runoff response, especially in steep terrain. Its contribution to total runoff is, however, poorly represented in the current generation of land surface models. The lack of physical basis of these common parameterizations precludes a priori estimation of the stormflow (i.e. without calibration), which is a major drawback for prediction in ungauged basins, or for use in global land surface models. This paper is aimed at deriving regionalized parameterizations of the storage-discharge relationship relating to subsurface stormflow from a top-down empirical data analysis of streamflow recession curves extracted from 50 eastern United States catchments. Detailed regression analyses were performed between parameters of the empirical storage-discharge relationships and the controlling climate, soil and topographic characteristics. The regression analyses performed on empirical recession curves at catchment scale indicated that the coefficient of the power-law form storage-discharge relationship is closely related to the catchment hydrologic characteristics, which is consistent with the hydraulic theory derived mainly at the hillslope scale. As for the exponent, besides the role of field scale soil hydraulic properties as suggested by hydraulic theory, it is found to be more strongly affected by climate (aridity) at the catchment scale. At a fundamental level these results point to the need for more detailed exploration of the co-dependence of soil, vegetation and topography with climate.

  10. Regionalization of subsurface stormflow parameters of hydrologic models: Derivation from regional analysis of streamflow recession curves

    SciTech Connect

    Ye, Sheng; Li, Hongyi; Huang, Maoyi; Ali, Melkamu; Leng, Guoyong; Leung, Lai-Yung R.; Wang, Shaowen; Sivapalan, Murugesu

    2014-07-21

    Subsurface stormflow is an important component of the rainfall–runoff response, especially in steep terrain. Its contribution to total runoff is, however, poorly represented in the current generation of land surface models. The lack of physical basis of these common parameterizations precludes a priori estimation of the stormflow (i.e. without calibration), which is a major drawback for prediction in ungauged basins, or for use in global land surface models. This paper is aimed at deriving regionalized parameterizations of the storage–discharge relationship relating to subsurface stormflow from a top–down empirical data analysis of streamflow recession curves extracted from 50 eastern United States catchments. Detailed regression analyses were performed between parameters of the empirical storage–discharge relationships and the controlling climate, soil and topographic characteristics. The regression analyses performed on empirical recession curves at catchment scale indicated that the coefficient of the power-law form storage–discharge relationship is closely related to the catchment hydrologic characteristics, which is consistent with the hydraulic theory derived mainly at the hillslope scale. As for the exponent, besides the role of field scale soil hydraulic properties as suggested by hydraulic theory, it is found to be more strongly affected by climate (aridity) at the catchment scale. At a fundamental level these results point to the need for more detailed exploration of the co-dependence of soil, vegetation and topography with climate.

  11. Interactive retinal blood flow analysis of the macular region.

    PubMed

    Tian, Jing; Somfai, Gábor Márk; Campagnoli, Thalmon R; Smiddy, William E; Debuc, Delia Cabrera

    2016-03-01

    The study of retinal hemodynamics plays an important role to understand the onset and progression of diabetic retinopathy. In this work, we developed an interactive retinal analysis tool to quantitatively measure the blood flow velocity (BFV) and blood flow rate (BFR) in the macular region using the Retinal Function Imager (RFI). By employing a high definition stroboscopic fundus camera, the RFI device is able to assess retinal blood flow characteristics in vivo. However, the measurements of BFV using a user-guided vessel segmentation tool may induce significant inter-observer differences and BFR is not provided in the built-in software. In this work, we have developed an interactive tool to assess the retinal BFV and BFR in the macular region. Optical coherence tomography data was registered with the RFI image to locate the fovea accurately. The boundaries of the vessels were delineated on a motion contrast enhanced image and BFV was computed by maximizing the cross-correlation of pixel intensities in a ratio video. Furthermore, we were able to calculate the BFR in absolute values (μl/s). Experiments were conducted on 122 vessels from 5 healthy and 5 mild non-proliferative diabetic retinopathy (NPDR) subjects. The Pearson's correlation of the vessel diameter measurements between our method and manual labeling on 40 vessels was 0.984. The intraclass correlation (ICC) of BFV between our proposed method and built-in software was 0.924 and 0.830 for vessels from healthy and NPDR subjects, respectively. The coefficient of variation between repeated sessions was reduced significantly from 22.5% to 15.9% in our proposed method (p<0.001).

  12. Comparative analysis of aerosols elemental distribution in some Romanian regions

    NASA Astrophysics Data System (ADS)

    Amemiya, Susumu; Masuda, Toshio; Popa-Simil, Liviu; Mateescu, Liviu

    1996-04-01

    The study's main aim is obtaining aerosols particulate elemental distribution and mapping it for some Romanian regions, in order to obtain preliminary information regarding the concentrations of aerosol particles and networking strategy versus local conditions. For this we used the mobile sampling strategy, but taking care on all local specific conditions and weather. In the summer of 1993, in July we took about 8 samples on a rather large territory of SE Romania which were analysed and mapped. The regions which showed an interesting behaviour or doubts such as Bucharest and Dobrogea were zoomed in near the same period of 1994, for comparing the new details with the global aspect previously obtained. An attempt was made to infer the minimum necessary number of stations in a future monitoring network. A mobile sampler was used, having tow polycarbonate filter posts of 8 and 0.4 μm. PIXE elemental analysis was performed on a 2.5 MV Van de Graaff accelerator, by using a proton beam. More than 15 elements were measured. Suggestive 2D and 3D representations were drawn, as well as histogram charts for the concentrations' distribution in the specific regions at the specified times. In spite of the poor samples from the qualitative point of view the experiment surprised us by the good coincidence (good agreement) with realities in terrain known by other means long time ago, and highlighted the power of PIXE methods in terms of money and time. Conclusions over the link between industry, traffic, vegetation, wether, surface waters, soil composition, power plant exhaust and so on, on the one hand, and surface concentration distribution, on the other, were drawn. But the method's weak points were also highlighted; these are weather dependencies (especially air masses movement and precipitation), local relief, microclimate and vegetation, and of course localisation of the sampling point versus the pollution sources and their regime. The paper contains a synthesis of the whole

  13. Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis

    NASA Astrophysics Data System (ADS)

    Moon, Kevin R.; Li, Jimmy J.; Delouille, Véronique; De Visscher, Ruben; Watson, Fraser; Hero, Alfred O.

    2016-01-01

    Context. The flare productivity of an active region is observed to be related to its spatial complexity. Mount Wilson or McIntosh sunspot classifications measure such complexity but in a categorical way, and may therefore not use all the information present in the observations. Moreover, such categorical schemes hinder a systematic study of an active region's evolution for example. Aims: We propose fine-scale quantitative descriptors for an active region's complexity and relate them to the Mount Wilson classification. We analyze the local correlation structure within continuum and magnetogram data, as well as the cross-correlation between continuum and magnetogram data. Methods: We compute the intrinsic dimension, partial correlation, and canonical correlation analysis (CCA) of image patches of continuum and magnetogram active region images taken from the SOHO-MDI instrument. We use masks of sunspots derived from continuum as well as larger masks of magnetic active regions derived from magnetogram to analyze separately the core part of an active region from its surrounding part. Results: We find relationships between the complexity of an active region as measured by its Mount Wilson classification and the intrinsic dimension of its image patches. Partial correlation patterns exhibit approximately a third-order Markov structure. CCA reveals different patterns of correlation between continuum and magnetogram within the sunspots and in the region surrounding the sunspots. Conclusions: Intrinsic dimension has the potential to distinguish simple from complex active regions. These results also pave the way for patch-based dictionary learning with a view toward automatic clustering of active regions.

  14. Regional analysis of changes in snow pack in mountainous basins in the central Danube region

    NASA Astrophysics Data System (ADS)

    Balint, Gabor; Juričeková, Katarina; Gauzer, Balazs; Hlavčová, Kamila; Kohnová, Silvia; Szolgay, Jan; Zsideková, Beata

    2013-04-01

    investigated period also were analyses. The consistency of modelled spatial distribution of snow water equivalent also was checked by the Modis sow satellite data. The results showed a decrease in snow water equivalent and snow depth, and snow duration from the past to the present. The paper also deals with the analysis of changes in depths, duration and spatial distribution of snow cover. Daily snow cover depth observations and weekly snow water equivalent data were available at 6 climatic stations for the period 1961-2010 for the upper Hron while the last two decade sporadic observations and simulated snow depths and snow water equivalent for the entire central Danube region. It is concluded that simulated qualitative information on snow pack across the Alpine-Carpathian region can provide more information on appropriate values of melt parameters than quantitative data on snow water equivalent at a single station location. These simulations appear to provide an adequate representation of snow climatology.

  15. Analysis of Landmine Fatalities and Injuries in the Kurdistan Region.

    PubMed

    Heshmati, Almas; Khayyat, Nabaz T

    2015-09-01

    This study analyzes landmine victim data in the Kurdistan Region during the period 1960 to 2005. A regression analysis is used to identify the determinants and impact of the probability of getting killed by mines and unexploded ordnances. The rates of killed/injured victims are explained using a set of socioeconomic variables. As the data are a repeated cross-section in which the individuals are observed when they are subjected to landmine incidents, and to account for the dynamic aspect of the process and heterogeneity by location as well as to control for unobserved location and time effects, a pseudo panel data are created where districts are observed over the entire time period forming a panel data. The results show that (a) males, children, and the elderly are more susceptible to a higher level of landmine risks; (b) landmine training and awareness programs do not reduce the rate of landmine mortality; and (c) the rate of incidents are declining over time. This result can be used in the planning, monitoring, and resource allocation for mine action, as well as labor market programs and rehabilitation activities. PMID:25315481

  16. An analysis of the Hygiea asteroid family orbital region

    NASA Astrophysics Data System (ADS)

    Carruba, Valerio

    2013-04-01

    (10) Hygiea is the fourth largest asteroid of the Main Belt, by volume and mass, and it is the largest member of its own family. The Hygiea family is made mostly by low-albedo C-type asteroids, typical of the outer main belt. Recently, it has been suggested that close encounters with this asteroid may have played an important role in the dynamical evolution of members of this family. Numerical simulations of the orbital evolution of family members under the gravitational influence of all planets, several massive asteroids, and non-gravitational forces such as Yarkovsky and YORP may help in setting constraints on the family age and original ejection velocity field. But, such modeling requires good estimations of family membership that includes analysis of the local asteroid taxonomy (if available), geometrical albedos, and influence of the local dynamics, so as to minimize the errors associated with including too many interlopers. In this work we investigated the local dynamics, by obtaining synthetic proper elements and frequencies of asteroids in the Hygiea orbital region, with their errors. We revised the current knowledge on asteroid taxonomy, including SDSS-MOC 4 data, and we take advantage of the availability of WISE and NEOWISE albedo data to i) identify asteroid family members using Hierarchical Clustering Methods (HCM hereafter) in the domain of proper elements (a,e,sin(i)) and in the domains of proper frequencies most appropriate to study diffusion in the local web of secular resonances; and ii) to try to eliminate possible interlopers based on taxonomical and geometrical albedo considerations. Since large families have an associated "halo" of objects with similar SDSS-MOC 4 data that extends far beyond the border of the HCM families, we also devised a new hierarchical clustering method to identify family halos in an extended domain that includes proper elements, principal components PC1,PC2 obtained based on SDSS photometric data, and, for the first time

  17. California Migrant Student Movement Study--Region 1 Analysis.

    ERIC Educational Resources Information Center

    Davis, Benjamin G.

    Using data taken from the Migrant Student Record Transfer System, a study was undertaken to examine migrant student movement patterns for Region 1 of California's Migrant Education Program which includes eight counties located along the Pacific coast between Los Angeles and San Francisco. In 1977, 490 students entered Region 1 from another state;…

  18. Chromosome region-specific libraries for human genome analysis

    SciTech Connect

    Kao, Fa-Ten.

    1992-08-01

    During the grant period progress has been made in the successful demonstration of regional mapping of microclones derived from microdissection libraries; successful demonstration of the feasibility of converting microclones with short inserts into yeast artificial chromosome clones with very large inserts for high resolution physical mapping of the dissected region; Successful demonstration of the usefulness of region-specific microclones to isolate region-specific cDNA clones as candidate genes to facilitate search for the crucial genes underlying genetic diseases assigned to the dissected region; and the successful construction of four region-specific microdissection libraries for human chromosome 2, including 2q35-q37, 2q33-q35, 2p23-p25 and 2p2l-p23. The 2q35-q37 library has been characterized in detail. The characterization of the other three libraries is in progress. These region-specific microdissection libraries and the unique sequence microclones derived from the libraries will be valuable resources for investigators engaged in high resolution physical mapping and isolation of disease-related genes residing in these chromosomal regions.

  19. California Migrant Student Movement Study--Region 3 Analysis.

    ERIC Educational Resources Information Center

    Davis, Benjamin G.

    The five counties of Madera, Merced, Contra Costa, San Joaquin and Stanislaus constitute Region 3 of the California Migrant Education Program. A study to evaluate movement patterns of migrant students from, to and within the state was conducted using data from the Migrant Student Record Transfer System. It indicates that in 1977 Region 3 ranked…

  20. Information gap analysis of flood model uncertainties and regional frequency analysis

    NASA Astrophysics Data System (ADS)

    Hine, Daniel; Hall, Jim W.

    2010-01-01

    Flood risk analysis is subject to often severe uncertainties, which can potentially undermine flood management decisions. This paper explores the use of information gap theory to analyze the sensitivity of flood management decisions to uncertainties in flood inundation models and flood frequency analysis. Information gap is a quantified nonprobabilistic theory of robustness. To analyze uncertainties in flood modeling, an energy-bounded information gap model is established and applied first to a simplified uniform channel and then to a more realistic 2-D flood model. Information gap theory is then applied to the estimation of flood discharges using regional frequency analysis. The use of an information gap model is motivated by the notion that hydrologically similar sites are clustered in the space of their L moments. The information gap model is constructed around a parametric statistical flood frequency analysis, resulting in a hybrid model of uncertainty in which natural variability is handled statistically while epistemic uncertainties are represented in the information gap model. The analysis is demonstrated for sites in the Trent catchment, United Kingdom. The analysis is extended to address ungauged catchments, which, because of the attendant uncertainties in flood frequency analysis, are particularly appropriate for information gap analysis. Finally, the information gap model of flood frequency is combined with the treatment of hydraulic model uncertainties in an example of how both sources of uncertainty can be accounted for using information gap theory in a flood risk management decision.

  1. Regional analysis of earthquake occurrence and seismic energy release

    NASA Technical Reports Server (NTRS)

    Cohen, S. C.

    1980-01-01

    The historic temporal variation in earthquake occurrence and seismic energy release on a regional basis throughtout the world were studied. The regionalization scheme employed divided the world into large areas based either on seismic and tectonic considerations (Flinn-Engdahl Scheme) or geographic (longitude and latitude) criteria. The data set is the wide earthquake catalog of the National Geophysical Solar-Terrestrial Data Center. An apparent relationship exists between the maximum energy released in a limited time within a seismic region and the average or background energy per year averaged over a long time period. In terms of average or peak energy release, the most seismic regions of the world during the 50 to 81 year period ending in 1977 were Japanese, Andean South American, and the Alaska-Aleutian Arc regions. The year to year fluctuations in regional seismic energy release are greater, by orders of magnitude, than the corresponding variations in the world-wide seismic energy release. The b values of seismic regions range from 0.7 to 1.4 where earthquake magnitude is in the range 6.0 to 7.5.

  2. National Geo-Database for Biofuel Simulations and Regional Analysis

    SciTech Connect

    Izaurralde, Roberto C.; Zhang, Xuesong; Sahajpal, Ritvik; Manowitz, David H.

    2012-04-01

    The goal of this project undertaken by GLBRC (Great Lakes Bioenergy Research Center) Area 4 (Sustainability) modelers is to develop a national capability to model feedstock supply, ethanol production, and biogeochemical impacts of cellulosic biofuels. The results of this project contribute to sustainability goals of the GLBRC; i.e. to contribute to developing a sustainable bioenergy economy: one that is profitable to farmers and refiners, acceptable to society, and environmentally sound. A sustainable bioenergy economy will also contribute, in a fundamental way, to meeting national objectives on energy security and climate mitigation. The specific objectives of this study are to: (1) develop a spatially explicit national geodatabase for conducting biofuel simulation studies; (2) model biomass productivity and associated environmental impacts of annual cellulosic feedstocks; (3) simulate production of perennial biomass feedstocks grown on marginal lands; and (4) locate possible sites for the establishment of cellulosic ethanol biorefineries. To address the first objective, we developed SENGBEM (Spatially Explicit National Geodatabase for Biofuel and Environmental Modeling), a 60-m resolution geodatabase of the conterminous USA containing data on: (1) climate, (2) soils, (3) topography, (4) hydrography, (5) land cover/ land use (LCLU), and (6) ancillary data (e.g., road networks, federal and state lands, national and state parks, etc.). A unique feature of SENGBEM is its 2008-2010 crop rotation data, a crucially important component for simulating productivity and biogeochemical cycles as well as land-use changes associated with biofuel cropping. We used the EPIC (Environmental Policy Integrated Climate) model to simulate biomass productivity and environmental impacts of annual and perennial cellulosic feedstocks across much of the USA on both croplands and marginal lands. We used data from LTER and eddy-covariance experiments within the study region to test the

  3. Nucleotide diversity analysis highlights functionally important genomic regions

    PubMed Central

    Tatarinova, Tatiana V.; Chekalin, Evgeny; Nikolsky, Yuri; Bruskin, Sergey; Chebotarov, Dmitry; McNally, Kenneth L.; Alexandrov, Nickolai

    2016-01-01

    We analyzed functionality and relative distribution of genetic variants across the complete Oryza sativa genome, using the 40 million single nucleotide polymorphisms (SNPs) dataset from the 3,000 Rice Genomes Project (http://snp-seek.irri.org), the largest and highest density SNP collection for any higher plant. We have shown that the DNA-binding transcription factors (TFs) are the most conserved group of genes, whereas kinases and membrane-localized transporters are the most variable ones. TFs may be conserved because they belong to some of the most connected regulatory hubs that modulate transcription of vast downstream gene networks, whereas signaling kinases and transporters need to adapt rapidly to changing environmental conditions. In general, the observed profound patterns of nucleotide variability reveal functionally important genomic regions. As expected, nucleotide diversity is much higher in intergenic regions than within gene bodies (regions spanning gene models), and protein-coding sequences are more conserved than untranslated gene regions. We have observed a sharp decline in nucleotide diversity that begins at about 250 nucleotides upstream of the transcription start and reaches minimal diversity exactly at the transcription start. We found the transcription termination sites to have remarkably symmetrical patterns of SNP density, implying presence of functional sites near transcription termination. Also, nucleotide diversity was significantly lower near 3′ UTRs, the area rich with regulatory regions. PMID:27774999

  4. TURBULENT CONVECTION MODEL IN THE OVERSHOOTING REGION. II. THEORETICAL ANALYSIS

    SciTech Connect

    Zhang, Q. S.; Li, Y. E-mail: ly@ynao.ac.cn

    2012-05-01

    Turbulent convection models (TCMs) are thought to be good tools to deal with the convective overshooting in the stellar interior. However, they are too complex to be applied to calculations of stellar structure and evolution. In order to understand the physical processes of the convective overshooting and to simplify the application of TCMs, a semi-analytic solution is necessary. We obtain the approximate solution and asymptotic solution of the TCM in the overshooting region, and find some important properties of the convective overshooting. (1) The overshooting region can be partitioned into three parts: a thin region just outside the convective boundary with high efficiency of turbulent heat transfer, a power-law dissipation region of turbulent kinetic energy in the middle, and a thermal dissipation area with rapidly decreasing turbulent kinetic energy. The decaying indices of the turbulent correlations k, u{sub r}'T'-bar, and T'T'-bar are only determined by the parameters of the TCM, and there is an equilibrium value of the anisotropic degree {omega}. (2) The overshooting length of the turbulent heat flux u{sub r}'T'-bar is about 1H{sub k} (H{sub k} = |dr/dln k|). (3) The value of the turbulent kinetic energy at the convective boundary k{sub C} can be estimated by a method called the maximum of diffusion. Turbulent correlations in the overshooting region can be estimated by using k{sub C} and exponentially decreasing functions with the decaying indices.

  5. Analysis of Food Pairing in Regional Cuisines of India.

    PubMed

    Jain, Anupam; N K, Rakhi; Bagler, Ganesh

    2015-01-01

    Any national cuisine is a sum total of its variety of regional cuisines, which are the cultural and historical identifiers of their respective regions. India is home to a number of regional cuisines that showcase its culinary diversity. Here, we study recipes from eight different regional cuisines of India spanning various geographies and climates. We investigate the phenomenon of food pairing which examines compatibility of two ingredients in a recipe in terms of their shared flavor compounds. Food pairing was enumerated at the level of cuisine, recipes as well as ingredient pairs by quantifying flavor sharing between pairs of ingredients. Our results indicate that each regional cuisine follows negative food pairing pattern; more the extent of flavor sharing between two ingredients, lesser their co-occurrence in that cuisine. We find that frequency of ingredient usage is central in rendering the characteristic food pairing in each of these cuisines. Spice and dairy emerged as the most significant ingredient classes responsible for the biased pattern of food pairing. Interestingly while individual spices contribute to negative food pairing, dairy products on the other hand tend to deviate food pairing towards positive side. Our data analytical study highlighting statistical properties of the regional cuisines, brings out their culinary fingerprints that could be used to design algorithms for generating novel recipes and recipe recommender systems. It forms a basis for exploring possible causal connection between diet and health as well as prospection of therapeutic molecules from food ingredients. Our study also provides insights as to how big data can change the way we look at food. PMID:26430895

  6. Analysis of Food Pairing in Regional Cuisines of India.

    PubMed

    Jain, Anupam; N K, Rakhi; Bagler, Ganesh

    2015-01-01

    Any national cuisine is a sum total of its variety of regional cuisines, which are the cultural and historical identifiers of their respective regions. India is home to a number of regional cuisines that showcase its culinary diversity. Here, we study recipes from eight different regional cuisines of India spanning various geographies and climates. We investigate the phenomenon of food pairing which examines compatibility of two ingredients in a recipe in terms of their shared flavor compounds. Food pairing was enumerated at the level of cuisine, recipes as well as ingredient pairs by quantifying flavor sharing between pairs of ingredients. Our results indicate that each regional cuisine follows negative food pairing pattern; more the extent of flavor sharing between two ingredients, lesser their co-occurrence in that cuisine. We find that frequency of ingredient usage is central in rendering the characteristic food pairing in each of these cuisines. Spice and dairy emerged as the most significant ingredient classes responsible for the biased pattern of food pairing. Interestingly while individual spices contribute to negative food pairing, dairy products on the other hand tend to deviate food pairing towards positive side. Our data analytical study highlighting statistical properties of the regional cuisines, brings out their culinary fingerprints that could be used to design algorithms for generating novel recipes and recipe recommender systems. It forms a basis for exploring possible causal connection between diet and health as well as prospection of therapeutic molecules from food ingredients. Our study also provides insights as to how big data can change the way we look at food.

  7. Analysis of Food Pairing in Regional Cuisines of India

    PubMed Central

    Bagler, Ganesh

    2015-01-01

    Any national cuisine is a sum total of its variety of regional cuisines, which are the cultural and historical identifiers of their respective regions. India is home to a number of regional cuisines that showcase its culinary diversity. Here, we study recipes from eight different regional cuisines of India spanning various geographies and climates. We investigate the phenomenon of food pairing which examines compatibility of two ingredients in a recipe in terms of their shared flavor compounds. Food pairing was enumerated at the level of cuisine, recipes as well as ingredient pairs by quantifying flavor sharing between pairs of ingredients. Our results indicate that each regional cuisine follows negative food pairing pattern; more the extent of flavor sharing between two ingredients, lesser their co-occurrence in that cuisine. We find that frequency of ingredient usage is central in rendering the characteristic food pairing in each of these cuisines. Spice and dairy emerged as the most significant ingredient classes responsible for the biased pattern of food pairing. Interestingly while individual spices contribute to negative food pairing, dairy products on the other hand tend to deviate food pairing towards positive side. Our data analytical study highlighting statistical properties of the regional cuisines, brings out their culinary fingerprints that could be used to design algorithms for generating novel recipes and recipe recommender systems. It forms a basis for exploring possible causal connection between diet and health as well as prospection of therapeutic molecules from food ingredients. Our study also provides insights as to how big data can change the way we look at food. PMID:26430895

  8. Regional analysis of divorce in China since 1980.

    PubMed

    Zeng, Y; Wu, D

    2000-05-01

    This paper estimates and discusses divorce measures in China and its 30 provinces since 1980. The propensity for divorce in China increased 42% between 1982 and 1990. Substantial increases in divorce were observed in all provinces except Xinjiang and Shanxi. We found a fairly strong regional pattern of divorce in China: Divorce rates were lowest on the east coast and in eastern areas, highest in the northwest and the northeast, and moderate in the middle and southern parts of the country. Descriptive explanations of trends and regional variations are presented.

  9. Findings of the Mars Special Regions Science Analysis Group

    USGS Publications Warehouse

    Beaty, D.W.; Buxbaum, K.L.; Meyer, M.A.; Barlow, N.; Boynton, W.; Clark, B.; Deming, J.; Doran, P.T.; Edgett, K.; Hancock, S.; Head, J.; Hecht, M.; Hipkin, V.; Kieft, T.; Mancinelli, R.; McDonald, E.; McKay, C.; Mellon, M.; Newsom, H.; Ori, G.; Paige, D.; Schuerger, A.C.; Sogin, M.; Spry, J.A.; Steele, A.; Tanaka, K.; Voytek, M.

    2006-01-01

    In summary, within the upper 5 m most of Mars is either too cold or too dry to support the propagation of terrestrial life. However, there are regions that are in disequilibrium, naturally or induced, and could be classified as "special" or, if enough uncertainty exist, could not be declared as "non-special." ?? Mary Ann Liebert, Inc.

  10. A STRUCTURAL ANALYSIS OF STAR-FORMING REGION AFGL 490

    SciTech Connect

    Masiunas, L. C.; Gutermuth, R. A.; Pipher, J. L.; Megeath, S. T.; Myers, P. C.; Kirk, H. M.; Fazio, G. G.; Allen, L. E.

    2012-06-20

    We present Spitzer IRAC and MIPS observations of the star-forming region containing intermediate-mass young stellar object (YSO) AFGL 490. We supplement these data with near-IR Two Micron All Sky Survey photometry and with deep Simultaneous Quad Infrared Imaging Device observations off the central high-extinction region. We have more than doubled the known membership of this region to 57 Class I and 303 Class II YSOs via the combined 1-24 {mu}m photometric catalog derived from these data. We construct and analyze the minimum spanning tree of their projected positions, isolating one locally overdense cluster core containing 219 YSOs (60.8% of the region's members). We find this cluster core to be larger yet less dense than similarly analyzed clusters. Although the structure of this cluster core appears irregular, we demonstrate that the parsec-scale surface densities of both YSOs and gas are correlated with a power-law slope of 2.8, as found for other similarly analyzed nearby molecular clouds. We also explore the mass segregation implications of AFGL 490's offset from the center of its core, finding that it has no apparent preferential central position relative to the low-mass members.

  11. Analysis of Projected Changes in Precipitation Regions of Turkey

    NASA Astrophysics Data System (ADS)

    Akbas, Abdullah; Turp, M. Tufan; Ozturk, Tugba; Kurnaz, M. Levent

    2016-04-01

    Classification and clustering are important issues in climatology studies for water management. In this study, we examine the precipitation regions of Turkey with combination of the regional climate model outputs with a hierarchical cluster technique. Therefore, the outputs of the HadGEM2-ES global climate model of the Met Office Hadley Centre were downscaled to 50 km for Turkey via Regional Climate Model (RegCM4.4) of the Abdus Salam International Centre for Theoretical Physics (ICTP) for the period of 2070 - 2100 with respect to the present period of 1970 - 2000 under two distinct case scenarios (i.e. RCP4.5 and RCP8.5). Thereafter, Ward's method, which is commonly used in climate research, was also performed in order to cluster the precipitation data. In this context, spatial variations in precipitation regions of Turkey were determined for different climate change pathways. This research has been supported by Boǧaziçi University Research Fund Grant Number 10421.

  12. North Alaska petroleum analysis: the regional map compilation

    USGS Publications Warehouse

    Saltus, Richard W.; Bird, Kenneth J.

    2003-01-01

    The U.S. Geological Survey initiated an effort to model north Alaskan petroleum systems. The geographic and geologic basis for modeling systems is provided by a set of regional digital maps that allow evaluation of the widest possible extent of each system. Accordingly, we laid out a rectangular map grid 1300 km (800 miles) east-west and 600 km (375 miles) north-south. The resulting map area extends from the Yukon Territory of Canada on the east to the Russian-U.S. Chukchi Sea on the west and from the Brooks Range on the south to the Canada basin-Chukchi borderland on the north. Within this map region, we combined disparate types of publicly available data to produce structure contour maps. Data types range from seismic-based mapping as in the National Petroleum Reserve to well penetrations in areas of little or no seismic data where extrapolation was required. With these types of data, we produced structure contour maps on three horizons: top of pre-Mississippian (basement), top of Triassic (Ellesmerian sequence), and top of Neocomian (Beaufortian sequence). These horizons, when combined with present-day topography and bathymetry, provide the bounding structural/stratigraphic surfaces of the north Alaskan petroleum province that mark major defining moments of the region's geologic history and allow regional portrayal of preserved sediment accumulations.

  13. California Migrant Student Movement Study--Region 2 Analysis.

    ERIC Educational Resources Information Center

    Davis, Benjamin G.

    Region 2 of the California Migrant Education Program, located along the northern California coast and inland, includes 13 contiguous counties north of a line between San Francisco and Sacramento and the two counties in the northwest and northeast corners of the state. Using data extracted from the Migrant Student Record Transfer System, a study…

  14. Lineament analysis and tectonic interpretation for the Tharsis region

    NASA Technical Reports Server (NTRS)

    Anderson, Robert

    1993-01-01

    The Tharsis region of Mars is critical to any study of Martian tectonics. This region (65 N and 65 S latitude; 45 W to 157.5 W longitude) is characterized by an asymmetrical dome-shaped topographic high approximately 8000 km across. Affecting over 25 percent of the surface area, this region has been the center of most of the major tectonic and volcanic activity that has taken place on the Martian surface. Lineament studies are the primary tool available for studying tectonic processes on terrestrial planets such as Mars. At least three major lineament systems can be delineated in the Tharsis region; north-south and east-west trending lineament systems are superimposed on an older northwest trending lineament system. Four centers of uplift have been identified based on the occurrence of radial fracture patterns. Preliminary results indicate that the formation of the Tharsis Dome may not have resulted from a single uplift event, but may instead have resulted from as many as four uplift events. The northwest trending fracture may represent a pre-existing zone of weakness which contributed to the early formation of the Tharsis Dome. The 1:2,000,000 scale photo mosaic maps of Mars were examined and lineaments were identified. The end points of each lineament were measured and recorded in an X-Y reference coordinate frame.

  15. Analysis of MAGSAT data of the Indian region

    NASA Technical Reports Server (NTRS)

    Agarwal, G. C.; Arur, M. G.

    1982-01-01

    Data tapes were decoded and 24 tracks over the Indian region were reduced to common elevation. Profiles of raw scalar and vector field data and the residuals along few passes were prepared. An anomaly data set was created from the Investigator-B tape. Data was sampled on an 0.5 deg by 0.5 deg grid.

  16. Statistical Analysis of Regional Surface Water Quality in Southeastern Ontario.

    ERIC Educational Resources Information Center

    Bodo, Byron A.

    1992-01-01

    Historical records from Ontario's Provincial Water Quality Monitoring Network for rivers and streams were analyzed to assess the feasibility of mapping regional water quality patterns in southeastern Ontario, spanning the Precambrian Shield and the St. Lawrence Lowlands. The study served as a model for much of Ontario. (54 references) (Author/MDH)

  17. 43 CFR 3420.3-4 - Regional tract ranking, selection, environmental analysis and scheduling.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 43 Public Lands: Interior 2 2014-10-01 2014-10-01 false Regional tract ranking, selection...) COMPETITIVE LEASING Competitive Leasing § 3420.3-4 Regional tract ranking, selection, environmental analysis... natural environment; and socioeconomic impacts. The subfactors the regional coal team will consider...

  18. 43 CFR 3420.3-4 - Regional tract ranking, selection, environmental analysis and scheduling.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 43 Public Lands: Interior 2 2013-10-01 2013-10-01 false Regional tract ranking, selection...) COMPETITIVE LEASING Competitive Leasing § 3420.3-4 Regional tract ranking, selection, environmental analysis... natural environment; and socioeconomic impacts. The subfactors the regional coal team will consider...

  19. 43 CFR 3420.3-4 - Regional tract ranking, selection, environmental analysis and scheduling.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 43 Public Lands: Interior 2 2012-10-01 2012-10-01 false Regional tract ranking, selection...) COMPETITIVE LEASING Competitive Leasing § 3420.3-4 Regional tract ranking, selection, environmental analysis... natural environment; and socioeconomic impacts. The subfactors the regional coal team will consider...

  20. High beta and second stability region transport and stability analysis

    SciTech Connect

    Not Available

    1991-09-05

    This document describes ideal and resistive MHD studies of high-beta plasmas and of the second stability region. Significant progress is reported on the resistive stability properties of high beta poloidal supershot'' discharges. For these studies initial profiles were taken from the TRANSP code which is used extensively to analyze experimental data. When an ad hoc method of removing the finite pressure stabilization of tearing modes is implemented it is shown that there is substantial agreement between MHD stability computation and experiment. In particular, the mode structures observed experimentally are consistent with the predictions of the resistive MHD model. We also report on resistive stability near the transition to the second region in TFTR. Tearing modes associated with a nearby infernal mode may explain the increase in MHD activity seen in high beta supershots and which impede the realization of Q{approximately}1. We also report on a collaborative study with PPPL involving sawtooth stabilization with ICRF.

  1. Analysis of sequence-dependent curvature in matrix attachment regions.

    PubMed

    Yamamura, J; Nomura, K

    2001-02-01

    Sequence-dependent DNA conformations of matrix attachment regions (MARs) available in a database were calculated using the wedge model, and compared with randomly chosen genes, promoters, enhancers and transposons. The MARs had a longer bent part and higher angle/helical turn than the other regions. It is known that some MAR sequences have A-tracts that cause DNA bending, and we also found many A-tracts in examined MARs. Furthermore, non-random and clustered distribution of A-tracts shown here gave further evidence of the importance of A-tracts for MAR conformations. These results suggest that DNAs of MARs have a characteristic conformation instead of conserved sequence.

  2. Analysis of the cathodic region of atmospheric pressure discharges

    NASA Astrophysics Data System (ADS)

    Schmitz, H.; Riemann, K.-U.

    2002-07-01

    The cathodic region of atmospheric pressure arcs is dominated by a number of different mechanisms. This makes a theoretical model extremely difficult. A description of this region based on fundamental physical principles is given. Using a previously published model of the inhomogeneous boundary layer of a Saha plasma (Schmitz H and Riemann K-U 2001 J. Phys. D: Appl. Phys. 34 1193), the description is set on a firm theoretical basis. A number of equations including the energy balances of plasma boundary and cathode body lead to a maximum closure of the system. The values for the boundary conditions toward the plasma column could be motivated by a simple minimum principle argument thus eliminating all arbitrary fitting parameters. Results are given for a variety of external parameters and three different discharge gases. The comparison with experimental results shows excellent agreement.

  3. Curie Depth Analysis of the Salton Sea Region, Southern California

    NASA Astrophysics Data System (ADS)

    Mickus, Kevin; Hussein, Musa

    2016-02-01

    Aeromagnetic data were analyzed to determine the bottom of magnetic bodies that might be related to the Curie point depth (CPD) by 2D spectral and 3D inversion methods within the Salton Trough and the surrounding region in southern California. The bottom of the magnetic bodies for 55 × 55 km windows varied in depth between 11 and 23 km in depth using 2D spectral methods. Since the 55 × 55 km square window may include both shallow and deep source, a 3D inversion method was used to provide better resolution of the bottom of the magnetic bodies. The 3D models indicate the depth to the bottom of the magnetic bodies varied between 5 and 23 km. Even though both methods produced similar results, the 3D inversion method produced higher resolution of the CPD depths. The shallowest depths (5-8 km) occur along and west of the Brawley Seismic Zone and the southwestern portion of the Imperial Valley. The source of these shallow CPD values may be related to geothermal systems including hydrothermal circulation and/or partially molten material. Additionally, shallow CPD depths (7-12 km) were found in a northwest-trending zone in the center of the Salton Trough. These depths coincide with previous seismic analyses that indicated a lower crustal low velocity region which is believed to be caused by partially molten material. Lower velocity zones in several regions may be related to fracturing and/or hydrothermal fluids. If the majority of these shallow depths are related to temperature, they are likely associated with the CPD, and the partially molten material extends over a wider zone than previously known. Greater depths within the Salton Trough coincide with the base of basaltic material and/or regions of intense metamorphism intruded by mafic material in the middle/lower crust.

  4. Development of a Regional Routing Model for Strategic Waterway Analysis

    SciTech Connect

    Southworth, Frank; Peterson, Bruce E; Lambert, Bruce

    2007-01-01

    The NETS (Navigation Economics Technologies) suite of models is being developed by the U.S. Army Corps of Engineers to bring new analytic tools to the process of evaluating and planning navigation investments. A hierarchical and potentially iterative approach consisting of three levels, or tiers, has been proposed, one that moves from a broad regional and global geography in Tier 1, down to a detailed, project and facility specific level of detail in Tier 3. This paper describes the construction a commodity flows database to support Tier 2 modeling. Called the Regional Routing Model, it takes spatial disaggregations of broad regionally forecasts of commodity flows to a point where they can be assigned to specific modes and routes over the U.S. transportation network. The paper describes the model structure and how it is being tied closely to a multi-source database constructed to support base year model calibration. A goal for the model is to be able to measure the effects on flows and transportation costs of changes to either the capacity of the transportation network or to the volumes of goods produced and consumed. Some preliminary results are shown.

  5. Analysis of pumping-induced unsaturated regions beneath aperennial river

    SciTech Connect

    Su, G.W.; Jasperse, J.; Seymour, D.; Constantz, J.; Zhou, Q.

    2007-05-15

    The presence of an unsaturated region beneath a streambedduring groundwater pumping near streams reduces the pumping capacity whenit reaches the well screens, changes flow paths, and alters the types ofbiological transformations in the streambed sediments. Athree-dimensional, multi-phase flow model of two horizontal collectorwells along the Russian River near Forestville, California was developedto investigate the impact of varying the ratio of the aquifer tostreambed permeability on (1) the formation of an unsaturated regionbeneath the stream, (2) the pumping capacity, (3) stream-water fluxesthrough the streambed, and (4) stream-water travel times to the collectorwells. The aquifer to streambed permeability ratio at which theunsaturated region was initially observed ranged from 10 to 100. The sizeof the unsaturated region beneath the streambed increased as the aquiferto streambed permeability ratio increased. The simulations also indicatedthat for a particular aquifer permeability, decreasing the streambedpermeability by only a factor of 2-3 from the permeability wheredesaturation initially occurred resulted in reducing the pumpingcapacity. In some cases, the stream-water fluxes increased as thestreambed permeability decreased. However, the stream water residencetimes increased and the fraction of stream water that reached that thewells decreased as the streambed permeability decreased, indicating thata higher streambed flux does not necessarily correlate to greaterrecharge of stream water around the wells.

  6. Analysis of Human Accelerated DNA Regions Using Archaic Hominin Genomes

    PubMed Central

    Burbano, Hernán A.; Green, Richard E.; Maricic, Tomislav; Lalueza-Fox, Carles; de la Rasilla, Marco; Rosas, Antonio; Kelso, Janet; Pollard, Katherine S.; Lachmann, Michael; Pääbo, Svante

    2012-01-01

    Several previous comparisons of the human genome with other primate and vertebrate genomes identified genomic regions that are highly conserved in vertebrate evolution but fast-evolving on the human lineage. These human accelerated regions (HARs) may be regions of past adaptive evolution in humans. Alternatively, they may be the result of non-adaptive processes, such as biased gene conversion. We captured and sequenced DNA from a collection of previously published HARs using DNA from an Iberian Neandertal. Combining these new data with shotgun sequence from the Neandertal and Denisova draft genomes, we determine at least one archaic hominin allele for 84% of all positions within HARs. We find that 8% of HAR substitutions are not observed in the archaic hominins and are thus recent in the sense that the derived allele had not come to fixation in the common ancestor of modern humans and archaic hominins. Further, we find that recent substitutions in HARs tend to have come to fixation faster than substitutions elsewhere in the genome and that substitutions in HARs tend to cluster in time, consistent with an episodic rather than a clock-like process underlying HAR evolution. Our catalog of sequence changes in HARs will help prioritize them for functional studies of genomic elements potentially responsible for modern human adaptations. PMID:22412940

  7. Anthropogenic Aerosol Dimming Over Oceans: A Regional Analysis

    NASA Astrophysics Data System (ADS)

    Dallafior, T. N.; Folini, D.; Knutti, R.; Wild, M.

    2015-12-01

    The role of anthropogenic aerosols in shaping 20th century SSTs through alteration of surface solar radiation (SSR) is still subject to debate. Identifying and quantifying the relationship between aerosol-induced changes in SSR and the corresponding SST response is difficult due to the masking effect of numerous feedback mechanisms and general variability of the atmosphere-ocean system. We therefore analysed potential anthropogenic aerosol effects on SST with a cascade of experiments of increasing complexity: From atmosphere-only over mixed-layer ocean (MLO) experiments, to fully coupled transient ocean-atmosphere simulations, with and without greenhouse gases and / or aerosols, using the general circulation model ECHAM with explicit aerosol representation. We find anthropogenic aerosols to be crucial to obtain realistic SSR and SST patterns, although co-location of changes in individual variables (aerosol optical depth, SSR, SST) is weak. The effect of greenhouse gases and aerosols in the MLO simulations is essentially additive on global and regional scales, an assumption frequently made in the literature. With atmosphere-only simulations we identified regions most prone to anthropogenic aerosol dimming throughout the 20th century using a strict criterion. From MLO equilibria representative of different decades throughout the 20th century, we identified ocean regions, whose SSTs are most sensitive to changing anthropogenic aerosol emissions. The surface temperature response patterns in our MLO simulations are more sensitive towards the choice of prescribed deep-ocean heat flux if anthropogenic aerosols were included as compared to greenhouse gas only simulations. This implies that ocean dynamics might mask some of the response and cautions against the use of just one set of deep-ocean heat fluxes in MLO studies. Our results corroborate not only the relevance of anthropogenic aerosols for SST responses, but also highlight the complexity and non-locality of the

  8. Sociality in Diverse Societies: A Regional Analysis Across European Countries.

    PubMed

    Koster, Ferry

    2013-04-01

    For a long time, researchers investigate the impact of diversity on society. To measure diversity, either archival data at the national level of census data at the neighborhood level, within a single country are used. Both approaches are limited. The first approach does not allow to investigate variation in diversity within countries and the second approach misses the possibility to investigate cross national differences. The present study aims at bringing these two approaches closer together by constructing diversity measures based on the European Social Survey (ESS). The ESS is collected every 2 years since 2002 and includes individual level data that allow replicating earlier measures of ethnic, linguistic, and religious diversity for 30 European countries. Furthermore, since respondents are asked to indicate in what region they live, measured with the Nomenclature of Territorial Units for Statistics classification, it is possible to construct disaggregated measures. Comparing the new indicators with existing diversity scores leads to the following conclusions. First, the new and old measures are strongly correlated at the national level. Secondly, investigating the relationship between diversity and different kinds of sociality (interpersonal trust, institutional trust, and support for government redistribution) shows that regional diversity is more strongly related to them than diversity at the national level.

  9. Chromosome region-specific libraries for human genome analysis

    SciTech Connect

    Kao, Fa-Ten.

    1991-01-01

    We have made important progress since the beginning of the current grant year. We have further developed the microdissection and PCR- assisted microcloning techniques using the linker-adaptor method. We have critically evaluated the microdissection libraries constructed by this microtechnology and proved that they are of high quality. We further demonstrated that these microdissection clones are useful in identifying corresponding YAC clones for a thousand-fold expansion of the genomic coverage and for contig construction. We are also improving the technique of cloning the dissected fragments in test tube by the TDT method. We are applying both of these PCR cloning technique to human chromosomes 2 and 5 to construct region-specific libraries for physical mapping purposes of LLNL and LANL. Finally, we are exploring efficient procedures to use unique sequence microclones to isolate cDNA clones from defined chromosomal regions as valuable resources for identifying expressed gene sequences in the human genome. We believe that we are making important progress under the auspices of this DOE human genome program grant and we will continue to make significant contributions in the coming year. 4 refs., 4 figs.

  10. Turbulence in the Earth's cusp region: k-filtering analysis

    NASA Astrophysics Data System (ADS)

    Wang, T.; Cao, J.; Fu, H.; Liu, W.

    2013-12-01

    On April 13 2002, four Cluster spacecraft with separation up to 127 km measured similar turbulence in the Earth's mid-altitude cusp region during southward IMF Bz. Using the k-filtering technique, we obtain the propagation angle and dispersion relation of the turbulence. The propagation angle is quite large and ranges from 80° to 92°, meaning that the turbulence propagates perpendicularly to the background magnetic field. By comparing the dispersion relationship with the linear solution of the Vlasov kinetic theory obtained by WHAMP, we conclude that the turbulence is Kinetic Alfvén mode (KAWs). The regions of KAWs are located within an inhomogeneous high density plasma background, suggesting that it is the ion drift, not field aligned ion beam that plays an important role in the wave generation. The magnetic flied fluctuation spectrum resembles the classical Kolmogorov power law under the proton gyrofrequency ωci, but breaks and steepens near ωci, indicating that the KAW may be powered by a turbulent cascade transverse to the magnetic field from large MHD scales to proton gyroradius scales.

  11. Statistical analysis of geodetic networks for detecting regional events

    NASA Technical Reports Server (NTRS)

    Granat, Robert

    2004-01-01

    We present an application of hidden Markov models (HMMs) to analysis of geodetic time series in Southern California. Our model fitting method uses a regularized version of the deterministic annealing expectation-maximization algorithm to ensure that model solutions are both robust and of high quality.

  12. Updating our understanding of "Special Regions" on Mars: The second MEPAG Special Regions Science Analysis Group (SR-SAG2)

    NASA Astrophysics Data System (ADS)

    Rummel, J. D.; Beaty, D. W.; Jones, M. A.

    2014-12-01

    A committee of the Mars Exploration Planning and Analysis Group (MEPAG) has reviewed and updated the description of Special Regions on Mars, defined in the COSPAR Planetary Protection Policy as places where Earth organisms might replicate (the basis of this study), or that have a high potential for the existence of extant martian life forms (not the basis of this study). The review and update was conducted by an international team, drawn from both the biological science and Mars exploration communities, to understand when and where Special Regions could, and likely do, occur. The study applied recently available data about Mars environments and about Earth organisms, building on a previous analysis of Mars Special Regions (2006) undertaken by a similar team. Since then, a large new body of highly relevant data has been generated from the Mars Reconnaissance Orbiter (launched 2005), Phoenix (2007), and from Mars Express and the twin MER landers (all 2003). Additional results were also gleaned from the Mars Science Laboratory (2011). In addition to Mars data, there is a considerable body of new data regarding the known environmental limits to life on Earth—including the potential for terrestrial microbial life to survive and replicate under martian environmental conditions. The analysis of Mars Special Regions included: 1. An extensive analysis of both new and previously unavailable data regarding the environmental limits of life on Earth, including both experimental results and environmental observations; 2. An examination of extensive post-2006 observational data sets, including high spacial and temporal resolution data from orbit and new data from landed spacecraft; 3. New models of Mars relevant to natural environmental variation in water activity and temperature; 4. Review and reconsideration of the current parameters used to define Special Regions; and 5. Updated maps and descriptions of the Mars environments that are recommended for treatment as "uncertain

  13. The Environment Analysis in the CE-3 Landing Region

    NASA Astrophysics Data System (ADS)

    Mu, L.; Liu, J.; Zeng, X.; Gao, X.; Yan, W.; Zou, X.; Li, C.

    2014-12-01

    To understand the environment and select detecting objects for the Yutu Rover, NAOC used the DEM and DOM data obtained by CE-2, geological data released by USGS, and high resolution image captured by CE-3 and LRO-NAC to analyze the topographical characteristic, geologic age, Geomorphological feathers and new dust distribution in two scale levels. The first level is 45km×75km, and another one is 4km×4km. The center of the study region is the CE-3 landing site (19.51°W, 44.12°N). The following is the initial conclusions: (1) CE-3 landed on a relatively flat region in the Mare Imbrium with an elevation of -2615m. The geological age of the landing site belongs to young Eratoshenian. 10km to the north of the landing site is the older Mare Imbrium stratum, and the location of the landing site is just on the intersection area of these two stratums. (2) The landing site lies on the edge of a lunar mountain with a decline tendency from west to east, and the topographic slope and roughness of the landing region is low, which is the typical characteristic of lunar mare. There is a big crater with diameter of 430 meters in the west of the landing site, and lots of stones in different colors on the rim of this crater, shown in the Figure2. (3) By comparing the images captured by LRO-NAC before and after the landing, much lunar dust was blown away by the engine plume during the landing of CE-3. The change scope is about 60m with from east-west and 135m length from south-north. The direction of landing is from south-north, so the length is larger than the width, shown in the figure 3. (4) In the initial stage, the Yutu Rover was suggested to move in south direction and late in north direction, which would get more scientific data and result.

  14. [Preliminary analysis of smoking habit in firefighters of Wielkopolska region].

    PubMed

    Witt, Magdalena; Romańczukiewicz, Joanna

    2006-01-01

    Professional performance of firefighters causes high level of stress. This results in certain activities meant to lower a stress level, some of which are harmful to individuals health per se--smoking is a classical example here. This work was aimed at assessment of prevalence and style of smoking in the group of 69 professional firefighters of Wielkopolska region. Parameters studied were: prevalence, awareness of health-hazard, extent of nicotin addiction, motivation to quit with habit. Motivation to start smoking and further development of smoking habit as well as influence of environment was also studied. Since smoking presents a medical and social problem in this group of professionals, educative measures aimed at reduction of stress level and bad habit fighting should be undertaken. PMID:17288226

  15. Observational analysis of active region on June, 2000

    NASA Astrophysics Data System (ADS)

    Rovira, M. G.; Luoni, M. L.

    In the recent inaugurated German-Argentinian Solar-Observatory at El Leoncito, a H-alpha Telescope (HASTA) and a mirror coronograph (MICA) are obtained daily images of the solar disk and the inner corona. Since its installation on August 1997, MICA has been imaging the inner corona with high temporal and spatial resolution. Its field-of-view ranges 1.05 to 2.0 solar radii above the sun center. HASTA started operations on May 1998. It has a tunable ( [+1,-1] Å) Lyot-filter with a bandwith of 0.3 Å. In high speed mode full frames can be taken every 2 sec. We study the evolution of an Active Region (AR 9026) and we compare different images as taken in defferent wavelengths. These studies tend to relate flares with coronal mass ejection (CME).

  16. Regional analysis of convective systems during the West African monsoon

    NASA Astrophysics Data System (ADS)

    Guy, Bradley Nicholas

    characteristics (e.g. total precipitation and vertical reflectivity profiles) at the inland and maritime sites. The wave regime also resulted in an increased population of the largest observed mesoscale convective systems observed near the coast, which led to an increase in stratiform precipitation. Despite this increase, differentiation of convective strength characteristics was less obvious between wave and no-wave regimes at the coast. Due to the propagating nature of these advecting mesoscale convective systems, interaction with the regional thermodynamic and dynamic environment appears to result in more variability than enhancements due to the wave regime, independent of location. A 13-year (1998-2010) climatology of mesoscale convective characteristics associated with the West African monsoon are also investigated using precipitation radar and passive microwave data from the NASA Tropical Rainfall Measuring Mission satellite. Seven regions defined as continental northeast and northwest, southeast and southwest, coastal, and maritime north and south are compared to analyze zonal and meridional differences. Data are categorized according to identified African easterly wave (AEW) phase and when no wave is present. While some enhancements are observed in association with AEW regimes, regional differences were generally more apparent than wave vs. no-wave differences. Convective intensity metrics confirm that land-based systems exhibit stronger characteristics, such as higher storm top and maximum 30-dBZ heights and significant 85-GHz brightness temperature depressions. Continental systems also contain a lower fraction of points identified as stratiform. Results suggest that precipitation processes also varied depending upon region and AEW regime, with warm-rain processes more apparent over the ocean and the southwest continental region and ice-based microphysics more dominant over land, including mixed-phase processes. AEW regimes did show variability in stratiform fraction and

  17. Seismotectonic Analysis for the KZN region of South Africa

    NASA Astrophysics Data System (ADS)

    Singh, M.

    2012-04-01

    Recently, devastating earthquakes and tsunamis have shocked the modern world (Japan [April 7 2011, Mw 9.0, loss of life and destruction of infrastructure, 15,457 deaths 5,389 injured, US300billion loss (Japanese National Police Agency 2011)], New Zealand [21 February 2011, Mw 6.3, 148 killed], Haiti [12 January 2010, Mw 7.0, estimated 316 000 killed and 300 000 injured]. These earthquakes have caused large scale damage to the built environment not to mention the high number of fatalities. The KZN coastal region is also fast developing especially towards the north of Durban CBD (Cornubia [New development near Umhlanga, 25 Billion Rands investment], Gateway/Umhlanga Business District, Moses Mabida Stadium (cost of R3.4 billion ), King Shaka International Airport at a cost of R6.8 billion, Dube Tradeport to be developed next to the airport at a cost of R5 billion, as well as the development of the Richards Bay Industrial Development Zone . The KZN is home to 10 million inhabitants with a relatively denser population distribution around the Durban and Pietermaritzburg CBDs. With the increasing amount of investment towards the north coast of Durban, the population distribution will migrate to these areas. These areas now become 'vulnerable' to rare, infrequent and potentially devastating natural disasters like earthquakes. One of the first steps to understand and plan for an earthquake occurrence is through a seismic hazard and risk assessment. The seismic hazard and risk method has well been established since 1968 (see Cornell (1968); Veneziano et al., (1984); Bender and Perkins (1993); McGuire (1993); McGuire and Toro (2008); Kijko and Graham (1998); Kijko and Sellevoll, (1989, 1992)). The components of a seismic risk assessment (SRA) include several building blocks namely: the development of the earthquake catalogue, seismotectonic model, attenuation models, seismic hazard assessment (SHA), vulnerability assessment and seismic risk computations. The seismotectonic

  18. Regional Aquifer-System Analysis Program of the US Geological Survey; bibliography, 1978-86

    USGS Publications Warehouse

    Weeks, J.B.; Sun, Ren Jen

    1987-01-01

    The Regional Aquifer-System Analysis Program of the U.S. Geological Survey was initiated in 1978. The purpose of this program is to define the regional geohydrology and establish a framework of background information on geology, hydrology, and geochemistry of the Nation 's important aquifer systems. This information is needed to develop an understanding of the Nation 's major groundwater flow systems and to support better groundwater resources management. As of 1986, investigations of 28 regional aquifer systems were planned, investigations of 9 regional aquifer systems were completed, and 11 regional aquifer systems were being studied. This report is a bibliography of reports completed under the Regional Aquifer-System Analysis Program from 1978 through 1986. The reports resulting from each regional aquifer-system study are listed after an introduction to the study. During 1978-86, 488 reports were completed under the Regional Aquifer-System Analysis Program, and 168 reports which were partially funded by the Regional Aquifer-System Analysis Program were completed under the National Research Program. (Author 's abstract)

  19. Analysis of urban regions using AVHRR thermal infrared data

    USGS Publications Warehouse

    Wright, Bruce

    1993-01-01

    Using 1-km AVHRR satellite data, relative temperature difference caused by conductivity and inertia were used to distinguish urban and non urban land covers. AVHRR data that were composited on a biweekly basis and distributed by the EROS Data Center in Sioux Falls, South Dakota, were used for the classification process. These composited images are based on the maximum normalized different vegetation index (NDVI) of each pixel during the 2-week period using channels 1 and 2. The resultant images are nearly cloud-free and reduce the need for extensive reclassification processing. Because of the physiographic differences between the Eastern and Western United States, the initial study was limited to the eastern half of the United States. In the East, the time of maximum difference between the urban surfaces and the vegetated non urban areas is the peak greenness period in late summer. A composite image of the Eastern United States for the 2-weel time period from August 30-Septmeber 16, 1991, was used for the extraction of the urban areas. Two channels of thermal data (channels 3 and 4) normalized for regional temperature differences and a composited NDVI image were classified using conventional image processing techniques. The results compare favorably with other large-scale urban area delineations.

  20. Shape similarity analysis of regions of interest in medical images

    NASA Astrophysics Data System (ADS)

    Wang, Qiang; Charisi, Amalia; Latecki, Longin Jan; Gee, James; Megalooikonomou, Vasilis

    2010-03-01

    In this work, we introduce a new representation technique of 2D contour shapes and a sequence similarity measure to characterize 2D regions of interest in medical images. First, we define a distance function on contour points in order to map the shape of a given contour to a sequence of real numbers. Thus, the computation of shape similarity is reduced to the matching of the obtained sequences. Since both a query and a target sequence may be noisy, i.e., contain some outlier elements, it is desirable to exclude the outliers in order to obtain a robust matching performance. For the computation of shape similarity, we propose the use of an algorithm which performs elastic matching of two sequences. The contribution of our approach is that, unlike previous works that require images to be warped according to a template image for measuring their similarity, it obviates this need, therefore it can estimate image similarity for any type of medical image in a fast and efficient manner. To demonstrate our method's applicability, we analyzed a brain image dataset consisting of corpus callosum shapes, and we investigated the structural differences between children with chromosome 22q11.2 deletion syndrome and controls. Our findings indicate that our method is quite effective and it can be easily applied on medical diagnosis in all cases of which shape difference is an important clue.

  1. Regional analysis of factors affecting visual air quality

    NASA Astrophysics Data System (ADS)

    Pitchford, Ann; Pitchford, Marc; Malm, William; Flocchini, Robert; Cahill, Thomas; Walther, Eric

    The U.S. Environmental Protection Agency, National Park Service, Visibility Research Center, and University of California at Davis are currently operating a monitoring program in national parks and monuments throughout much of the western United States. Project VIEW, the Visibility Investigative Experiment in the West, includes measurement of visibility parameters using manual telephotometers, and measurement of particle concentrations averaged over 72 h. Variation of these parameters occurs in both space and time. To better understand these variations, several techniques including principal component analysis and data comparisons among sites are applied to Fall, 1979 data for much of the network. Then the Grand Canyon is chosen for additional analysis. Best and worst case visibility days are determined and compared with particle concentrations. Finally, hypothetical causes for visibility reduction are further verified by computing wind trajectories back in time for these special case days. Highlights of this preliminary investigation include evidence that fine sulfur and fine particles are responsible for visibility variation at the VIEW sites; that fine particle copper may be suitable as a tracer for copper smelter impact and that at the Grand Canyon, the majority of trajectories for days of visibility greater than 310km come from the north and west, over Utah and Nevada.

  2. Regional gravity analysis of the crustal structure of Tunisia

    NASA Astrophysics Data System (ADS)

    Jallouli, Chokri; Mickus, Kevin

    2000-01-01

    Gravity data were integrated with seismic refraction/reflection data, well data and geological investigations to determine a general crustal structure of Tunisia. The gravity data analysis included the construction of a complete Bouguer gravity anomaly map, residual gravity anomaly maps, horizontal gravity gradient maps and a 2.5-D gravity model. Residual gravity anomaly maps illustrate crustal anomalies associated with various structural domains within Tunisia including the Sahel Block, Saharian Flexure, Erg Oriental Basin, Algerian Anticlinorium, Gafsa Trough, Tunisian Trough, Kasserine Platform and the Tell Mountains. Gravity anomalies associated with these features are interpreted to be caused either by thickening or thinning of Palæozoic and younger sediments or by crustal thinning. Analysis of the residual gravity anomaly and horizontal gravity gradient maps also determined a number of anomalies that may be associated with previously unknown structures. A north-south trending gravity model in general indicated similar subsurface bodies as a coincident seismic model. However, thinner Mesozoic sediments within the Tunisian Trough, thinner Palæozoic sediments in the Gafsa Trough, and a greater offset on the Saharian Flexure were required by the gravity data. Additionally, basement uplifts under the Kasserine Platform and Gafsa Trough, not imaged by seismic data, were required by the gravity data. The gravity model revealed two previously unknown basins north and south of the Algerian Anticlinorium (5 km), while the Erg Oriental Basin is composed of at least two sub-basins, each with a depth of 5 km.

  3. Evaluation of the Analysis Influence on Transport in Reanalysis Regional Water Cycles

    NASA Technical Reports Server (NTRS)

    Bosilovich, M. G.; Chen, J.; Robertson, F. R.

    2011-01-01

    Regional water cycles of reanalyses do not follow theoretical assumptions applicable to pure simulated budgets. The data analysis changes the wind, temperature and moisture, perturbing the theoretical balance. Of course, the analysis is correcting the model forecast error, so that the state fields should be more aligned with observations. Recently, it has been reported that the moisture convergence over continental regions, even those with significant quantities of radiosonde profiles present, can produce long term values not consistent with theoretical bounds. Specifically, long averages over continents produce some regions of moisture divergence. This implies that the observational analysis leads to a source of water in the region. One such region is the Unite States Great Plains, which many radiosonde and lidar wind observations are assimilated. We will utilize a new ancillary data set from the MERRA reanalysis called the Gridded Innovations and Observations (GIO) which provides the assimilated observations on MERRA's native grid allowing more thorough consideration of their impact on regional and global climatology. Included with the GIO data are the observation minus forecast (OmF) and observation minus analysis (OmA). Using OmF and OmA, we can identify the bias of the analysis against each observing system and gain a better understanding of the observations that are controlling the regional analysis. In this study we will focus on the wind and moisture assimilation.

  4. Climate change and vector-borne diseases: a regional analysis.

    PubMed

    Githeko, A K; Lindsay, S W; Confalonieri, U E; Patz, J A

    2000-01-01

    Current evidence suggests that inter-annual and inter-decadal climate variability have a direct influence on the epidemiology of vector-borne diseases. This evidence has been assessed at the continental level in order to determine the possible consequences of the expected future climate change. By 2100 it is estimated that average global temperatures will have risen by 1.0-3.5 degrees C, increasing the likelihood of many vector-borne diseases in new areas. The greatest effect of climate change on transmission is likely to be observed at the extremes of the range of temperatures at which transmission occurs. For many diseases these lie in the range 14-18 degrees C at the lower end and about 35-40 degrees C at the upper end. Malaria and dengue fever are among the most important vector-borne diseases in the tropics and subtropics; Lyme disease is the most common vector-borne disease in the USA and Europe. Encephalitis is also becoming a public health concern. Health risks due to climatic changes will differ between countries that have developed health infrastructures and those that do not. Human settlement patterns in the different regions will influence disease trends. While 70% of the population in South America is urbanized, the proportion in sub-Saharan Africa is less than 45%. Climatic anomalies associated with the El Niño-Southern Oscillation phenomenon and resulting in drought and floods are expected to increase in frequency and intensity. They have been linked to outbreaks of malaria in Africa, Asia and South America. Climate change has far-reaching consequences and touches on all life-support systems. It is therefore a factor that should be placed high among those that affect human health and survival.

  5. Climate change and vector-borne diseases: a regional analysis.

    PubMed Central

    Githeko, A. K.; Lindsay, S. W.; Confalonieri, U. E.; Patz, J. A.

    2000-01-01

    Current evidence suggests that inter-annual and inter-decadal climate variability have a direct influence on the epidemiology of vector-borne diseases. This evidence has been assessed at the continental level in order to determine the possible consequences of the expected future climate change. By 2100 it is estimated that average global temperatures will have risen by 1.0-3.5 degrees C, increasing the likelihood of many vector-borne diseases in new areas. The greatest effect of climate change on transmission is likely to be observed at the extremes of the range of temperatures at which transmission occurs. For many diseases these lie in the range 14-18 degrees C at the lower end and about 35-40 degrees C at the upper end. Malaria and dengue fever are among the most important vector-borne diseases in the tropics and subtropics; Lyme disease is the most common vector-borne disease in the USA and Europe. Encephalitis is also becoming a public health concern. Health risks due to climatic changes will differ between countries that have developed health infrastructures and those that do not. Human settlement patterns in the different regions will influence disease trends. While 70% of the population in South America is urbanized, the proportion in sub-Saharan Africa is less than 45%. Climatic anomalies associated with the El Niño-Southern Oscillation phenomenon and resulting in drought and floods are expected to increase in frequency and intensity. They have been linked to outbreaks of malaria in Africa, Asia and South America. Climate change has far-reaching consequences and touches on all life-support systems. It is therefore a factor that should be placed high among those that affect human health and survival. PMID:11019462

  6. A sensitivity analysis of regional and small watershed hydrologic models

    NASA Technical Reports Server (NTRS)

    Ambaruch, R.; Salomonson, V. V.; Simmons, J. W.

    1975-01-01

    Continuous simulation models of the hydrologic behavior of watersheds are important tools in several practical applications such as hydroelectric power planning, navigation, and flood control. Several recent studies have addressed the feasibility of using remote earth observations as sources of input data for hydrologic models. The objective of the study reported here was to determine how accurately remotely sensed measurements must be to provide inputs to hydrologic models of watersheds, within the tolerances needed for acceptably accurate synthesis of streamflow by the models. The study objective was achieved by performing a series of sensitivity analyses using continuous simulation models of three watersheds. The sensitivity analysis showed quantitatively how variations in each of 46 model inputs and parameters affect simulation accuracy with respect to five different performance indices.

  7. Bayesian WLS/GLS regression for regional skewness analysis for regions with large crest stage gage networks

    USGS Publications Warehouse

    Veilleux, Andrea G.; Stedinger, Jery R.; Eash, David A.

    2012-01-01

    This paper summarizes methodological advances in regional log-space skewness analyses that support flood-frequency analysis with the log Pearson Type III (LP3) distribution. A Bayesian Weighted Least Squares/Generalized Least Squares (B-WLS/B-GLS) methodology that relates observed skewness coefficient estimators to basin characteristics in conjunction with diagnostic statistics represents an extension of the previously developed B-GLS methodology. B-WLS/B-GLS has been shown to be effective in two California studies. B-WLS/B-GLS uses B-WLS to generate stable estimators of model parameters and B-GLS to estimate the precision of those B-WLS regression parameters, as well as the precision of the model. The study described here employs this methodology to develop a regional skewness model for the State of Iowa. To provide cost effective peak-flow data for smaller drainage basins in Iowa, the U.S. Geological Survey operates a large network of crest stage gages (CSGs) that only record flow values above an identified recording threshold (thus producing a censored data record). CSGs are different from continuous-record gages, which record almost all flow values and have been used in previous B-GLS and B-WLS/B-GLS regional skewness studies. The complexity of analyzing a large CSG network is addressed by using the B-WLS/B-GLS framework along with the Expected Moments Algorithm (EMA). Because EMA allows for the censoring of low outliers, as well as the use of estimated interval discharges for missing, censored, and historic data, it complicates the calculations of effective record length (and effective concurrent record length) used to describe the precision of sample estimators because the peak discharges are no longer solely represented by single values. Thus new record length calculations were developed. The regional skewness analysis for the State of Iowa illustrates the value of the new B-WLS/BGLS methodology with these new extensions.

  8. A Study on Regional Rainfall Frequency Analysis for Flood Simulation Scenarios

    NASA Astrophysics Data System (ADS)

    Jung, Younghun; Ahn, Hyunjun; Joo, Kyungwon; Heo, Jun-Haeng

    2014-05-01

    Recently, climate change has been observed in Korea as well as in the entire world. The rainstorm has been gradually increased and then the damage has been grown. It is very important to manage the flood control facilities because of increasing the frequency and magnitude of severe rain storm. For managing flood control facilities in risky regions, data sets such as elevation, gradient, channel, land use and soil data should be filed up. Using this information, the disaster situations can be simulated to secure evacuation routes for various rainfall scenarios. The aim of this study is to investigate and determine extreme rainfall quantile estimates in Uijeongbu City using index flood method with L-moments parameter estimation. Regional frequency analysis trades space for time by using annual maximum rainfall data from nearby or similar sites to derive estimates for any given site in a homogeneous region. Regional frequency analysis based on pooled data is recommended for estimation of rainfall quantiles at sites with record lengths less than 5T, where T is return period of interest. Many variables relevant to precipitation can be used for grouping a region in regional frequency analysis. For regionalization of Han River basin, the k-means method is applied for grouping regions by variables of meteorology and geomorphology. The results from the k-means method are compared for each region using various probability distributions. In the final step of the regionalization analysis, goodness-of-fit measure is used to evaluate the accuracy of a set of candidate distributions. And rainfall quantiles by index flood method are obtained based on the appropriate distribution. And then, rainfall quantiles based on various scenarios are used as input data for disaster simulations. Keywords: Regional Frequency Analysis; Scenarios of Rainfall Quantile Acknowledgements This research was supported by a grant 'Establishing Active Disaster Management System of Flood Control Structures

  9. Analysis of the characteristics of solar oscillation modes in active regions

    NASA Astrophysics Data System (ADS)

    Rabello-Soares, M. Cristina; Bogart, Richard S.; Basu, Sarbani

    2008-10-01

    We analyze the characteristics of high-degree solar acoustic modes in the vicinity of magnetic active regions and compare with those of magnetically quiet regions at the same latitude and at nearly the same time. We applied ring-diagram analysis to GONG+ and MDI data, using the 13-parameter mode-fitting model of Basu & Antia [1]. We explore the correlations of variations in mode frequencies, amplitudes, widths, and asymmetries with the total magnetic flux of the analyzed regions.

  10. FUNGAL-SPECIFIC PCR PRIMERS DEVELOPED FOR ANALYSIS OF THE ITS REGION OF ENVIRONMENTAL DNA EXTRACTS

    EPA Science Inventory

    Background The Internal Transcribed Spacer (ITS) regions of fungal ribosomal DNA (rDNA) are highly variable sequences of great importance in distinguishing fungal species by PCR analysis. Previously published PCR primers available for amplifying these sequences from environmenta...

  11. Investigating the atmospheric energy spectra using ECMWF analysis: Regional dependence

    NASA Astrophysics Data System (ADS)

    Mukherjee, P.; Zhang, M.

    2010-12-01

    The atmospheric turbulence energy spectrum has been a subject of active research for a long time. Beginning with Kolmogorov’s theory of three-dimensional turbulence, to Kraichnan’s two-dimensional turbulence and its extension to the quasi-geostrophic case by Charney, various theoretical models and hypothesis have tried to explain the energy spectrum slope. However, the success or failure of a theory can only be gauged by comparing its output with actual observational data. Nastrom and Gage were able to do just that by analyzing thousands of flight observation data and plotting the wave number spectra of wind and temperature in 1980’s. But, the flight data was confined only to the upper atmosphere and mostly mid-latitudes of northern hemisphere. We use the high-resolution ECMWF analysis data, as a part of Year of Tropical Convection (YOTC) to study the atmospheric energy spectra over a wide range of conditions. We compared and interpreted the differences of the atmospheric energy spectra in the tropics and mid-latitudes, in the winter (DJF) and summer (JJA), at the surface and in the upper troposphere. Our results conform to the previously observed -3 power law for mid-latitude data in the upper troposphere, but the slope of the energy spectrum from the surface wind data and for the tropics exhibited quite different shapes. The causes of these differences are discussed.

  12. Structural analysis of airborne flux estimates over a region

    NASA Technical Reports Server (NTRS)

    Caramori, Paulo; Schuepp, Peter; Desjardins, Raymond; Macpherson, Ian

    1994-01-01

    Aircraft-based observations of turbulence fields of velocity, moisture, and temperature are used to study coherent turbulent structures that dominate turbulent transfer of moisture and heat above three different eco-systems. Flux traces are defragmented, to reconstruct the presumed full size (along the sampled transect) of these structures, and flux traces are simplified by elimination of those that contribute negligibly to the flux estimate. Structures are analyzed in terms of size, spatial distribution, and contribution to the flux, in the four 'quadrant' modes of eddy-covariance transfer (excess up/down and deficit up/down). The effect of nonlinear detrending of moisture and temperature data on this 'structural analysis,' over surfaces with heterogeneous surface wetness, is also examined. Results over grassland, wetland, and moist and dry agricultural land, show that nonlinear detrending may provide a more physically realistic description of structures. Significant differences are observed between structure size and associated relative flux contribution, between moist and dry areas, with smaller structures playing a more important role over the moist areas. Structure size generally increases with height, as spatial reorganization from smaller structures into larger ones takes place. This coincides with a gradual loss of surface 'signature' (position and clustering of plumes above localized source areas). The data are expected to provide a basis for an eventual statistical description of boundary-layer transfer events , and help to interpret the link between boundary-layer transfer and hydrological surface conditions.

  13. Genetic characterization of Phytophthora nicotianae by the analysis of polymorphic regions of the mitochondrial DNA.

    Technology Transfer Automated Retrieval System (TEKTRAN)

    A new method based on the analysis of mitochondrial intergenic regions characterized by intraspecific variation in DNA sequences was developed and applied to the study of the plant pathogen Phytophthora nicotianae. Two regions flanked by genes trny and rns and trnw and cox2 were identified by compa...

  14. Summary of the Oahu, Hawaii, Regional Aquifer-System Analysis

    USGS Publications Warehouse

    Nichols, William D.; Shade, Patricia J.; Hunt, Charles D.

    1996-01-01

    island. A regional aquifer system composed of the Waianae aquifer in the Waianae Volcanics and the Koolau aquifer in the Koolau Basalt is subdivided into well-defined areas by geohydrologic barriers. The aquifers are separated by the Waianae confining unit formed by weathering along the Waianae-Koolau unconformity. In some coastal areas, a caprock of sedimentary deposits overlies and confines the aquifers. The island of Oahu has been divided into seven major ground-water areas delineated by deep-seated structural geohydrologic barriers; these areas are further subdivided by shallower internal barriers to ground-water flow. The Koolau rift zone along the eastern (windward) side of the island and the Waianae rift zone to the west (Waianae area) constitute two of the major ground-water areas. North-central Oahu is divided into three smaller ground-water areas, Mokuleia, Waialua, and Kawailoa. The Schofield ground-water area encompasses much of the Schofield Plateau of central Oahu. Southern Oahu is divided into six areas, Ewa, Pearl Harbor, Moanalua, Kalihi, Beretania, and Kaimuki. Southeastern Oahu is divided into the Waialae and Wailupe-Hawaii Kai areas. Along the northeast coast of windward Oahu is the Kahuku ground-water area. The aquifers of Oahu contain shallow freshwater and deeper saltwater flow systems. There are five fresh ground-water flow systems: meteoric freshwater flow diverges from ground-water divides that lie somewhere within the Waianae and Koolau rift zones, forming an interior flow system in central Oahu (which is divided into the northern and southern Oahu flow systems) and exterior flow systems in western (Waianae area) Oahu, eastern (windward) Oahu, and southeastern Oahu. Development of the ground-water resources on Oahu began when the first well was drilled near Honouliuli in the summer of 1879. By 1890, 86 wells had been drilled on the island. From about 1891 to about 1910, development increased rapidly with the drilling of a

  15. A Bayesian Hierarchical Approach to Regional Frequency Analysis of Extremes

    NASA Astrophysics Data System (ADS)

    Renard, B.

    2010-12-01

    Rainfall and runoff frequency analysis is a major issue for the hydrological community. The distribution of hydrological extremes varies in space and possibly in time. Describing and understanding this spatiotemporal variability are primary challenges to improve hazard quantification and risk assessment. This presentation proposes a general approach based on a Bayesian hierarchical model, following previous work by Cooley et al. [2007], Micevski [2007], Aryal et al. [2009] or Lima and Lall [2009; 2010]. Such a hierarchical model is made up of two levels: (1) a data level modeling the distribution of observations, and (2) a process level describing the fluctuation of the distribution parameters in space and possibly in time. At the first level of the model, at-site data (e.g., annual maxima series) are modeled with a chosen distribution (e.g., a GEV distribution). Since data from several sites are considered, the joint distribution of a vector of (spatial) observations needs to be derived. This is challenging because data are in general not spatially independent, especially for nearby sites. An elliptical copula is therefore used to formally account for spatial dependence between at-site data. This choice might be questionable in the context of extreme value distributions. However, it is motivated by its applicability in spatial highly dimensional problems, where the joint pdf of a vector of n observations is required to derive the likelihood function (with n possibly amounting to hundreds of sites). At the second level of the model, parameters of the chosen at-site distribution are then modeled by a Gaussian spatial process, whose mean may depend on covariates (e.g. elevation, distance to sea, weather pattern, time). In particular, this spatial process allows estimating parameters at ungauged sites, and deriving the predictive distribution of rainfall/runoff at every pixel/catchment of the studied domain. An application to extreme rainfall series from the French

  16. Steps towards cost-benefit analysis of regional neurosurgical care.

    PubMed Central

    Pickard, J D; Bailey, S; Sanderson, H; Rees, M; Garfield, J S

    1990-01-01

    OBJECTIVE--To determine the cost of averting death or severe disability by neurosurgical intervention. DESIGN--Retrospective analysis of one year's admissions for neurosurgery; comparison of outcome with expected outcome in the absence of neurosurgical intervention and with the cost of neurosurgery. SETTING--Wessex Neurological Centre. PATIENTS--1026 Patients were admitted to the neurosurgical service in 1984. Of 1185 admissions, 978 case records were available and outcome was known in 919. MAIN OUTCOME MEASURES--Outcome was assessed with the Glasgow outcome scale, modified as necessary, from the case notes, or by letter follow up to the general practitioner. Expected outcomes for each of the 54 diagnoses were derived from both published reports where available and an expert panel of 18 consultant neurosurgeons. The cost of the neurosurgical service for 1983-4 was known from a separate study and the cost per patient was calculated using the length of stay. RESULTS--The cost of neurosurgery in 1983-4 was 1.8 million pounds. In all, 243 deaths or severe disabilities were estimated to have been averted at an average cost of 7325 pounds (range 5000 pounds to 70,000 pounds). The overall cost per quality adjusted life year (QALY) was 350 pounds (range 34 pounds to greater than 400,000 pounds). The cost of long term care for severely disabled survivors is at least 18-fold greater than the cost of neurosurgical intervention to avert such disability. CONCLUSIONS--In Britain neurosurgery is not expensive in comparison with the costs and benefits of other areas of medicine, and the cost per QALY is unexpectedly low except for severe diffuse head injury, malignant brain tumors, and cerebral metastases. The neurosurgical budget should be assessed in the context of managing a patient in hospital and subsequently in the community. PMID:2121302

  17. Structural analysis of airborne flux estimates over a region

    SciTech Connect

    Caramori, P.; Schuepp, P. ); Desjardins, R. ); MacPherson, I. )

    1994-05-01

    Aircraft-based observations of turbulence fields of velocity, moisture, and temperature are used to study coherent turbulent structures that dominate turbulent transfer of moisture and heat above three different ecosystems. Flux traces are defragmented, to reconstruct the presumed full size (along the sampled transect) of these structures, and flux traces are simplified by elimination of those that contribute negligibly to the flux estimates. Structures are analyzed in terms of size, spatial distribution, and contribution to the flux, in the four [open quotes]quadrant[close quotes] modes of eddy-covariance transfer (excess up/down and deficit up/down). The effect of nonlinear detrending of moisture and temperature data on this [open quotes]structural analysis,[close quotes] over surfaces with heterogeneous surface wetness, is also examined. Results over grassland, wetland, and moist and dry agricultural land, show that nonlinear detrending may provide a more physically realistic description of structures. Significant difference are observed between structure size and associated relative flux contribution, between moist and dry areas, with smaller structures playing a more important role over the moist areas. Structure size generally increases with height, as spatial reorganization from smaller structures into larger ones takes place. This coincides with a gradual loss of surface [open quotes]signature[close quotes] (position and clustering of plumes above localized source area). The data are expected to provide a basis for an eventual statistical description of boundary-layer transfer events, and help to interpret the link between boundary-layer transfer and hydrological surface conditions. 48 refs., 15 figs. 2 tabs.

  18. A new analysis of Mars "Special Regions": findings of the Second MEPAG Special Regions Science Analysis Group (SR-SAG2)

    USGS Publications Warehouse

    Rummel, John D.; Beaty, David W.; Jones, Melissa A.; Bakermans, Corien; Barlow, Nadine G.; Boston, Penelope J.; Chevrier, Vincent F.; Clark, Benton C.; de Vera, Jean-Pierre P.; Gough, Raina V.; Hallsworth, John E.; Head, James W.; Hipkin, Victoria J.; Kieft, Thomas L.; McEwen, Alfred S.; Mellon, Michael T.; Mikucki, Jill A.; Nicholson, Wayne L.; Omelon, Christopher R.; Peterson, Ronald; Roden, Eric E.; Lollar, Barbara Sherwood; Tanaka, Kenneth L.; Viola, Donna; Wray, James J.

    2014-01-01

    A committee of the Mars Exploration Program Analysis Group (MEPAG) has reviewed and updated the description of Special Regions on Mars as places where terrestrial organisms might replicate (per the COSPAR Planetary Protection Policy). This review and update was conducted by an international team (SR-SAG2) drawn from both the biological science and Mars exploration communities, focused on understanding when and where Special Regions could occur. The study applied recently available data about martian environments and about terrestrial organisms, building on a previous analysis of Mars Special Regions (2006) undertaken by a similar team. Since then, a new body of highly relevant information has been generated from the Mars Reconnaissance Orbiter (launched in 2005) and Phoenix (2007) and data from Mars Express and the twin Mars Exploration Rovers (all 2003). Results have also been gleaned from the Mars Science Laboratory (launched in 2011). In addition to Mars data, there is a considerable body of new data regarding the known environmental limits to life on Earth—including the potential for terrestrial microbial life to survive and replicate under martian environmental conditions. The SR-SAG2 analysis has included an examination of new Mars models relevant to natural environmental variation in water activity and temperature; a review and reconsideration of the current parameters used to define Special Regions; and updated maps and descriptions of the martian environments recommended for treatment as "Uncertain" or "Special" as natural features or those potentially formed by the influence of future landed spacecraft. Significant changes in our knowledge of the capabilities of terrestrial organisms and the existence of possibly habitable martian environments have led to a new appreciation of where Mars Special Regions may be identified and protected. The SR-SAG also considered the impact of Special Regions on potential future human missions to Mars, both as locations

  19. A new analysis of Mars "Special Regions": findings of the second MEPAG Special Regions Science Analysis Group (SR-SAG2).

    PubMed

    Rummel, John D; Beaty, David W; Jones, Melissa A; Bakermans, Corien; Barlow, Nadine G; Boston, Penelope J; Chevrier, Vincent F; Clark, Benton C; de Vera, Jean-Pierre P; Gough, Raina V; Hallsworth, John E; Head, James W; Hipkin, Victoria J; Kieft, Thomas L; McEwen, Alfred S; Mellon, Michael T; Mikucki, Jill A; Nicholson, Wayne L; Omelon, Christopher R; Peterson, Ronald; Roden, Eric E; Sherwood Lollar, Barbara; Tanaka, Kenneth L; Viola, Donna; Wray, James J

    2014-11-01

    A committee of the Mars Exploration Program Analysis Group (MEPAG) has reviewed and updated the description of Special Regions on Mars as places where terrestrial organisms might replicate (per the COSPAR Planetary Protection Policy). This review and update was conducted by an international team (SR-SAG2) drawn from both the biological science and Mars exploration communities, focused on understanding when and where Special Regions could occur. The study applied recently available data about martian environments and about terrestrial organisms, building on a previous analysis of Mars Special Regions (2006) undertaken by a similar team. Since then, a new body of highly relevant information has been generated from the Mars Reconnaissance Orbiter (launched in 2005) and Phoenix (2007) and data from Mars Express and the twin Mars Exploration Rovers (all 2003). Results have also been gleaned from the Mars Science Laboratory (launched in 2011). In addition to Mars data, there is a considerable body of new data regarding the known environmental limits to life on Earth-including the potential for terrestrial microbial life to survive and replicate under martian environmental conditions. The SR-SAG2 analysis has included an examination of new Mars models relevant to natural environmental variation in water activity and temperature; a review and reconsideration of the current parameters used to define Special Regions; and updated maps and descriptions of the martian environments recommended for treatment as "Uncertain" or "Special" as natural features or those potentially formed by the influence of future landed spacecraft. Significant changes in our knowledge of the capabilities of terrestrial organisms and the existence of possibly habitable martian environments have led to a new appreciation of where Mars Special Regions may be identified and protected. The SR-SAG also considered the impact of Special Regions on potential future human missions to Mars, both as locations of

  20. A new analysis of Mars "Special Regions": findings of the second MEPAG Special Regions Science Analysis Group (SR-SAG2).

    PubMed

    Rummel, John D; Beaty, David W; Jones, Melissa A; Bakermans, Corien; Barlow, Nadine G; Boston, Penelope J; Chevrier, Vincent F; Clark, Benton C; de Vera, Jean-Pierre P; Gough, Raina V; Hallsworth, John E; Head, James W; Hipkin, Victoria J; Kieft, Thomas L; McEwen, Alfred S; Mellon, Michael T; Mikucki, Jill A; Nicholson, Wayne L; Omelon, Christopher R; Peterson, Ronald; Roden, Eric E; Sherwood Lollar, Barbara; Tanaka, Kenneth L; Viola, Donna; Wray, James J

    2014-11-01

    A committee of the Mars Exploration Program Analysis Group (MEPAG) has reviewed and updated the description of Special Regions on Mars as places where terrestrial organisms might replicate (per the COSPAR Planetary Protection Policy). This review and update was conducted by an international team (SR-SAG2) drawn from both the biological science and Mars exploration communities, focused on understanding when and where Special Regions could occur. The study applied recently available data about martian environments and about terrestrial organisms, building on a previous analysis of Mars Special Regions (2006) undertaken by a similar team. Since then, a new body of highly relevant information has been generated from the Mars Reconnaissance Orbiter (launched in 2005) and Phoenix (2007) and data from Mars Express and the twin Mars Exploration Rovers (all 2003). Results have also been gleaned from the Mars Science Laboratory (launched in 2011). In addition to Mars data, there is a considerable body of new data regarding the known environmental limits to life on Earth-including the potential for terrestrial microbial life to survive and replicate under martian environmental conditions. The SR-SAG2 analysis has included an examination of new Mars models relevant to natural environmental variation in water activity and temperature; a review and reconsideration of the current parameters used to define Special Regions; and updated maps and descriptions of the martian environments recommended for treatment as "Uncertain" or "Special" as natural features or those potentially formed by the influence of future landed spacecraft. Significant changes in our knowledge of the capabilities of terrestrial organisms and the existence of possibly habitable martian environments have led to a new appreciation of where Mars Special Regions may be identified and protected. The SR-SAG also considered the impact of Special Regions on potential future human missions to Mars, both as locations of

  1. Seismic Hazard analysis of Adjaria Region in Georgia

    NASA Astrophysics Data System (ADS)

    Jorjiashvili, Nato; Elashvili, Mikheil

    2014-05-01

    The most commonly used approach to determining seismic-design loads for engineering projects is probabilistic seismic-hazard analysis (PSHA). The primary output from a PSHA is a hazard curve showing the variation of a selected ground-motion parameter, such as peak ground acceleration (PGA) or spectral acceleration (SA), against the annual frequency of exceedance (or its reciprocal, return period). The design value is the ground-motion level that corresponds to a preselected design return period. For many engineering projects, such as standard buildings and typical bridges, the seismic loading is taken from the appropriate seismic-design code, the basis of which is usually a PSHA. For more important engineering projects— where the consequences of failure are more serious, such as dams and chemical plants—it is more usual to obtain the seismic-design loads from a site-specific PSHA, in general, using much longer return periods than those governing code based design. Calculation of Probabilistic Seismic Hazard was performed using Software CRISIS2007 by Ordaz, M., Aguilar, A., and Arboleda, J., Instituto de Ingeniería, UNAM, Mexico. CRISIS implements a classical probabilistic seismic hazard methodology where seismic sources can be modelled as points, lines and areas. In the case of area sources, the software offers an integration procedure that takes advantage of a triangulation algorithm used for seismic source discretization. This solution improves calculation efficiency while maintaining a reliable description of source geometry and seismicity. Additionally, supplementary filters (e.g. fix a sitesource distance that excludes from calculation sources at great distance) allow the program to balance precision and efficiency during hazard calculation. Earthquake temporal occurrence is assumed to follow a Poisson process, and the code facilitates two types of MFDs: a truncated exponential Gutenberg-Richter [1944] magnitude distribution and a characteristic magnitude

  2. Paleoseismological analysis in Tehran region (Central Alborz, Iran)

    NASA Astrophysics Data System (ADS)

    Ritz, J. F.; Nazari, H.; Solaymani, S.; Salamati, R.; Rizza, M.; Ghorashi, M.; Abbassi, M. R.; Balescu, S.; Michelot, J. L.; Massault, M.; Mahan, S.

    2008-12-01

    The North Tehran, Taleghan and Mosha faults are three major active faults menacing the 15 millions peoples leaving in Tehran metropolis and its suburbs areas. These three faults located at the southern piedmont of Central Alborz and have been described as the sources of several large historical earthquakes in the past. To assess the seismic hazard associated with these faults, we carried paleoseismological studies. The North Tehran fault: Our study shows that the fault extends up to 110 km and corresponds to a reverse fault associated with a left-lateral component within its north-western part. This fault zone is also characterized by secondary active fold-and-thrust structures affecting the alluvial deposits within Tehran itself (e.g. Milad Tower foreberg). Between Tehran and Karaj, where the fault trend changes from NE-SW (eastwards) to NW-SE (westwards), we found a ~ 3 m fault scarp affecting the Pleistocene-Holocene deposits. Trenching across the scarp showed a N 115° E trending 30° N dipping reverse fault. We found evidences for 8 events (Mw > 6.5) during the past ~30000 years yielding a [3200- 4100 yrs] mean return period. The shortening rate across the fault is ~ 0.25 mm/yr during the Late Pleistocene - Holocene. The Taleghan fault: So far described as a south-dipping reverse fault, our study shows that the Taleghan fault is not a reverse fault but a left-lateral strike-slip fault with a normal component. Its strike, dip and rake within its eastern part are 105, 60° and -20/40°, respectively. Our paleoseismological analysis shows that 2 (maybe 3) events with magnitudes Mw ≥ 7 occurred during the past ~ 3500 years. The recurrence interval for earthquakes is comprised between ~1200 and ~1800 years and the horizontal slip rate is ~ 1.5 mm/yr. The Mosha fault: As for the Taleghan fault, we found many evidences at different scales, of left-lateral strike slip movements associated with a small normal component showing that the Mosha active fault is mainly a

  3. Erythrocyte membrane analysis for type II diabetes detection using Raman spectroscopy in high-wavenumber region

    NASA Astrophysics Data System (ADS)

    Lin, Jinyong; Zeng, Yongyi; Lin, Juqiang; Wang, Jing; Li, Ling; Huang, Zufang; Li, Buhong; Zeng, Haishan; Chen, Rong

    2014-03-01

    Raman spectroscopy was employed to detect lipid variation occurring in type II diabetic erythrocyte membrane (EM) without using exogenous reagents. In high-wavenumber (HW) region, significant Raman spectral differences between diabetic and normal EM are observed at 2850, 2873, 2885, 2935, and 2965 cm-1, which are mainly related to lipid in EM. Based on principal component analysis, the diagnostic accuracy of HW region for diabetes detection is 98.8%, which is much higher than that of low-wavenumber region (82.9%). The results suggest that EM HW Raman region has great promise for the reagent-free and non-invasive detection of type II diabetes.

  4. Characterization of Sugarcane Mosaic Virus Scmv1 and Scmv2 Resistance Regions by Regional Association Analysis in Maize

    PubMed Central

    Ibrahim, Rania; Pan, Guangtang; Xu, Mingliang; Lübberstedt, Thomas

    2015-01-01

    Sugarcane Mosaic Virus (SCMV) causes one of the most severe virus diseases in maize worldwide, resulting in reduced grain and forage yield in susceptible cultivars. In this study, two association panels consisting of 94 inbred lines each, from China and the U.S., were characterized for resistance to two isolates: SCMV-Seehausen and SCMV-BJ. The population structure of both association panels was analyzed using 3072 single nucleotide polymorphism (SNP) markers. The Chinese and the U.S. panel were both subdivided into two sub-populations, the latter comprised of Stiff Stalk Synthetic (SS) lines and Non Stiff Stalk Synthetic (NSS). The relative kinships were calculated using informative 2947 SNPs with minor allele frequency ≥ 5% and missing data ≤ 20% for the Chinese panel and 2841 SNPs with the same characteristics were used for the U.S. panel. The Scmv1 region was genotyped using 7 single sequence repeat (SSR) and sequence-tagged site (STS) markers, and 12 SSR markers were used for the Scmv2 region in the U.S. panel, while 5 of them were used for the Chinese panel. For all traits, a MLM (Mix Linear Model) controlling both population structure and relative kinship (Q + K) was used for association analysis. Three markers Trx-1, STS-11, and STS-12 located in the Scmv1 region were strongly associated (P = 0.001) with SCMV resistance, and explained more than 16.0%, 10.6%, and 19.7% of phenotypic variation, respectively. 207FG003 located in the Scmv2 region was significantly associated (P = 0.001) with SCMV resistance, and explained around 18.5% of phenotypic variation. PMID:26488483

  5. Characterization of Sugarcane Mosaic Virus Scmv1 and Scmv2 Resistance Regions by Regional Association Analysis in Maize.

    PubMed

    Leng, Pengfei; Ji, Qing; Tao, Yongfu; Ibrahim, Rania; Pan, Guangtang; Xu, Mingliang; Lübberstedt, Thomas

    2015-01-01

    Sugarcane Mosaic Virus (SCMV) causes one of the most severe virus diseases in maize worldwide, resulting in reduced grain and forage yield in susceptible cultivars. In this study, two association panels consisting of 94 inbred lines each, from China and the U.S., were characterized for resistance to two isolates: SCMV-Seehausen and SCMV-BJ. The population structure of both association panels was analyzed using 3072 single nucleotide polymorphism (SNP) markers. The Chinese and the U.S. panel were both subdivided into two sub-populations, the latter comprised of Stiff Stalk Synthetic (SS) lines and Non Stiff Stalk Synthetic (NSS). The relative kinships were calculated using informative 2947 SNPs with minor allele frequency ≥ 5% and missing data ≤ 20% for the Chinese panel and 2841 SNPs with the same characteristics were used for the U.S. panel. The Scmv1 region was genotyped using 7 single sequence repeat (SSR) and sequence-tagged site (STS) markers, and 12 SSR markers were used for the Scmv2 region in the U.S. panel, while 5 of them were used for the Chinese panel. For all traits, a MLM (Mix Linear Model) controlling both population structure and relative kinship (Q + K) was used for association analysis. Three markers Trx-1, STS-11, and STS-12 located in the Scmv1 region were strongly associated (P = 0.001) with SCMV resistance, and explained more than 16.0%, 10.6%, and 19.7% of phenotypic variation, respectively. 207FG003 located in the Scmv2 region was significantly associated (P = 0.001) with SCMV resistance, and explained around 18.5% of phenotypic variation. PMID:26488483

  6. Employing SWOT Analysis in Coursework on the Geographies of Regional Economic Development and Trade

    ERIC Educational Resources Information Center

    Kalafsky, Ronald V.; Sonnichsen, Tyler

    2015-01-01

    The use of SWOT analysis is a means through which geography students can investigate key concepts in economic geography and essential topics in regional economic development. This article discusses the results of a course project where economic geography students employed SWOT analysis to explore medium-sized metropolitan areas across the southern…

  7. Analysis of the sexual development-promoting region of Schizophyllum commune TRP1 gene.

    PubMed

    Sen, Kikuo; Kinoshita, Hideki; Tazuke, Kazuyuki; Maki, Yoshinori; Yoshiura, Yumi; Yakushi, Toshiharu; Shibai, Hiroshiro; Kurosawa, Shin-Ichi

    2016-10-01

    This study aims to elucidate the mechanism of sexual development of basidiomycetous mushrooms from mating to fruit body formation. Sequencing analysis showed the TRP1 gene of basidiomycete Schizophyllum commune encoded an enzyme with three catalytic regions of GAT (glutamine amidotransferase), IGPS (indole-3-glycerol phosphate synthase), and PRAI (5-phosphoribosyl anthranilate isomerase); among these three regions, the trp1 mutant (Trp(-)) had a missense mutation (L→F) of a 338th amino acid residue of the TRP1 protein within the IGPS region. To investigate the function of IGPS region related to sexual development, dikaryons with high, usual, and no expression of the IGPS region of TRP1 gene were made. The dikaryotic mycelia with high expression of the IGPS formed mature fruit bodies earlier than those with usual and no expression of the IGPS. These results showed that the IGPS region in TRP1 gene promoted sexual development of S. commune. PMID:27296855

  8. Analysis of the sexual development-promoting region of Schizophyllum commune TRP1 gene.

    PubMed

    Sen, Kikuo; Kinoshita, Hideki; Tazuke, Kazuyuki; Maki, Yoshinori; Yoshiura, Yumi; Yakushi, Toshiharu; Shibai, Hiroshiro; Kurosawa, Shin-Ichi

    2016-10-01

    This study aims to elucidate the mechanism of sexual development of basidiomycetous mushrooms from mating to fruit body formation. Sequencing analysis showed the TRP1 gene of basidiomycete Schizophyllum commune encoded an enzyme with three catalytic regions of GAT (glutamine amidotransferase), IGPS (indole-3-glycerol phosphate synthase), and PRAI (5-phosphoribosyl anthranilate isomerase); among these three regions, the trp1 mutant (Trp(-)) had a missense mutation (L→F) of a 338th amino acid residue of the TRP1 protein within the IGPS region. To investigate the function of IGPS region related to sexual development, dikaryons with high, usual, and no expression of the IGPS region of TRP1 gene were made. The dikaryotic mycelia with high expression of the IGPS formed mature fruit bodies earlier than those with usual and no expression of the IGPS. These results showed that the IGPS region in TRP1 gene promoted sexual development of S. commune.

  9. Predicting groundwater redox status on a regional scale using linear discriminant analysis

    NASA Astrophysics Data System (ADS)

    Close, M. E.; Abraham, P.; Humphries, B.; Lilburne, L.; Cuthill, T.; Wilson, S.

    2016-08-01

    Reducing conditions are necessary for denitrification, thus the groundwater redox status can be used to identify subsurface zones where potentially significant nitrate reduction can occur. Groundwater chemistry in two contrasting regions of New Zealand was classified with respect to redox status and related to mappable factors, such as geology, topography and soil characteristics using discriminant analysis. Redox assignment was carried out for water sampled from 568 and 2223 wells in the Waikato and Canterbury regions, respectively. For the Waikato region 64% of wells sampled indicated oxic conditions in the water; 18% indicated reduced conditions and 18% had attributes indicating both reducing and oxic conditions termed "mixed". In Canterbury 84% of wells indicated oxic conditions; 10% were mixed; and only 5% indicated reduced conditions. The analysis was performed over three different well depths, < 25 m, 25 to 100 and > 100 m. For both regions, the percentage of oxidised groundwater decreased with increasing well depth. Linear discriminant analysis was used to develop models to differentiate between the three redox states. Models were derived for each depth and region using 67% of the data, and then subsequently validated on the remaining 33%. The average agreement between predicted and measured redox status was 63% and 70% for the Waikato and Canterbury regions, respectively. The models were incorporated into GIS and the prediction of redox status was extended over the whole region, excluding mountainous land. This knowledge improves spatial prediction of reduced groundwater zones, and therefore, when combined with groundwater flow paths, improves estimates of denitrification.

  10. Predicting groundwater redox status on a regional scale using linear discriminant analysis.

    PubMed

    Close, M E; Abraham, P; Humphries, B; Lilburne, L; Cuthill, T; Wilson, S

    2016-08-01

    Reducing conditions are necessary for denitrification, thus the groundwater redox status can be used to identify subsurface zones where potentially significant nitrate reduction can occur. Groundwater chemistry in two contrasting regions of New Zealand was classified with respect to redox status and related to mappable factors, such as geology, topography and soil characteristics using discriminant analysis. Redox assignment was carried out for water sampled from 568 and 2223 wells in the Waikato and Canterbury regions, respectively. For the Waikato region 64% of wells sampled indicated oxic conditions in the water; 18% indicated reduced conditions and 18% had attributes indicating both reducing and oxic conditions termed "mixed". In Canterbury 84% of wells indicated oxic conditions; 10% were mixed; and only 5% indicated reduced conditions. The analysis was performed over three different well depths, <25m, 25 to 100 and >100m. For both regions, the percentage of oxidised groundwater decreased with increasing well depth. Linear discriminant analysis was used to develop models to differentiate between the three redox states. Models were derived for each depth and region using 67% of the data, and then subsequently validated on the remaining 33%. The average agreement between predicted and measured redox status was 63% and 70% for the Waikato and Canterbury regions, respectively. The models were incorporated into GIS and the prediction of redox status was extended over the whole region, excluding mountainous land. This knowledge improves spatial prediction of reduced groundwater zones, and therefore, when combined with groundwater flow paths, improves estimates of denitrification. PMID:27182792

  11. Predicting groundwater redox status on a regional scale using linear discriminant analysis.

    PubMed

    Close, M E; Abraham, P; Humphries, B; Lilburne, L; Cuthill, T; Wilson, S

    2016-08-01

    Reducing conditions are necessary for denitrification, thus the groundwater redox status can be used to identify subsurface zones where potentially significant nitrate reduction can occur. Groundwater chemistry in two contrasting regions of New Zealand was classified with respect to redox status and related to mappable factors, such as geology, topography and soil characteristics using discriminant analysis. Redox assignment was carried out for water sampled from 568 and 2223 wells in the Waikato and Canterbury regions, respectively. For the Waikato region 64% of wells sampled indicated oxic conditions in the water; 18% indicated reduced conditions and 18% had attributes indicating both reducing and oxic conditions termed "mixed". In Canterbury 84% of wells indicated oxic conditions; 10% were mixed; and only 5% indicated reduced conditions. The analysis was performed over three different well depths, <25m, 25 to 100 and >100m. For both regions, the percentage of oxidised groundwater decreased with increasing well depth. Linear discriminant analysis was used to develop models to differentiate between the three redox states. Models were derived for each depth and region using 67% of the data, and then subsequently validated on the remaining 33%. The average agreement between predicted and measured redox status was 63% and 70% for the Waikato and Canterbury regions, respectively. The models were incorporated into GIS and the prediction of redox status was extended over the whole region, excluding mountainous land. This knowledge improves spatial prediction of reduced groundwater zones, and therefore, when combined with groundwater flow paths, improves estimates of denitrification.

  12. A comparison of regional flood frequency analysis approaches in a simulation framework

    NASA Astrophysics Data System (ADS)

    Ganora, D.; Laio, F.

    2016-07-01

    Regional frequency analysis (RFA) is a well-established methodology to provide an estimate of the flood frequency curve at ungauged (or scarcely gauged) sites. Different RFA approaches exist, depending on the way the information is transferred to the site of interest, but it is not clear in the literature if a specific method systematically outperforms the others. The aim of this study is to provide a framework wherein carrying out the intercomparison by building up a virtual environment based on synthetically generated data. The considered regional approaches include: (i) a unique regional curve for the whole region; (ii) a multiple-region model where homogeneous subregions are determined through cluster analysis; (iii) a Region-of-Influence model which defines a homogeneous subregion for each site; (iv) a spatially smooth estimation procedure where the parameters of the regional model vary continuously along the space. Virtual environments are generated considering different patterns of heterogeneity, including step change and smooth variations. If the region is heterogeneous, with the parent distribution changing continuously within the region, the spatially smooth regional approach outperforms the others, with overall errors 10-50% lower than the other methods. In the case of a step-change, the spatially smooth and clustering procedures perform similarly if the heterogeneity is moderate, while clustering procedures work better when the step-change is severe. To extend our findings, an extensive sensitivity analysis has been performed to investigate the effect of sample length, number of virtual stations, return period of the predicted quantile, variability of the scale parameter of the parent distribution, number of predictor variables and different parent distribution. Overall, the spatially smooth approach appears as the most robust approach as its performances are more stable across different patterns of heterogeneity, especially when short records are

  13. An annular gas seal analysis using empirical entrance and exit region friction factors

    NASA Technical Reports Server (NTRS)

    Elrod, D. A.; Childs, D. W.; Nelson, C. C.

    1990-01-01

    Wall shear stress results from stationary-rotor flow tests of five annular gas seals are used to develop entrance and exit region friction factor models. The friction factor models are used in a bulk-flow seal analysis which predicts leakage and rotor-dynamic coefficients. The predictions of the analysis are compared to experimental results and to the predictions of Nelson's analysis (1985). The comparisons are for smooth-rotor seals with smooth and honeycomb-stators. The present analysis predicts the destabilizing cross-coupled stiffness of a seal better than Nelson's analysis. Both analyses predict direct damping well and direct stiffness poorly.

  14. Involvement of Sensory Regions in Affective Experience: A Meta-Analysis

    PubMed Central

    Satpute, Ajay B.; Kang, Jian; Bickart, Kevin C.; Yardley, Helena; Wager, Tor D.; Barrett, Lisa F.

    2015-01-01

    A growing body of work suggests that sensory processes may also contribute to affective experience. In this study, we performed a meta-analysis of affective experiences driven through visual, auditory, olfactory, gustatory, and somatosensory stimulus modalities including study contrasts that compared affective stimuli to matched neutral control stimuli. We found, first, that limbic and paralimbic regions, including the amygdala, anterior insula, pre-supplementary motor area, and portions of orbitofrontal cortex were consistently engaged across two or more modalities. Second, early sensory input regions in occipital, temporal, piriform, mid-insular, and primary sensory cortex were frequently engaged during affective experiences driven by visual, auditory, olfactory, gustatory, and somatosensory inputs. A classification analysis demonstrated that the pattern of neural activity across a contrast map diagnosed the stimulus modality driving the affective experience. These findings suggest that affective experiences are constructed from activity that is distributed across limbic and paralimbic brain regions and also activity in sensory cortical regions. PMID:26696928

  15. Entrance and exit region friction factor models for annular seal analysis. Ph.D. Thesis

    NASA Technical Reports Server (NTRS)

    Elrod, David Alan

    1988-01-01

    The Mach number definition and boundary conditions in Nelson's nominally-centered, annular gas seal analysis are revised. A method is described for determining the wall shear stress characteristics of an annular gas seal experimentally. Two friction factor models are developed for annular seal analysis; one model is based on flat-plate flow theory; the other uses empirical entrance and exit region friction factors. The friction factor predictions of the models are compared to experimental results. Each friction model is used in an annular gas seal analysis. The seal characteristics predicted by the two seal analyses are compared to experimental results and to the predictions of Nelson's analysis. The comparisons are for smooth-rotor seals with smooth and honeycomb stators. The comparisons show that the analysis which uses empirical entrance and exit region shear stress models predicts the static and stability characteristics of annular gas seals better than the other analyses. The analyses predict direct stiffness poorly.

  16. Water, energy, and economic development towards an integrated regional policy analysis system: Selected background essays

    NASA Astrophysics Data System (ADS)

    Hardy, R. W.

    1980-12-01

    Background essays for the project: water, energy, and economic development towards an integrated regional policy analysis system are reported. A write up for a preliminary systems dynamic model is included. The following topics are addressed: (1) planning theory; (2) institutional impacts of energy systems (the problem of scale); (3) regional incidence of investment and welfare; (4) innovation in the public sector; and (5) description of a preliminary model for the study of interactions among water, energy, and economic development.

  17. Statistical analysis of aquifer-test results for nine regional aquifers in Louisiana

    USGS Publications Warehouse

    Martin, Angel; Early, D.A.

    1987-01-01

    This report, prepared as part of the Gulf Coast Regional Aquifer-System Analysis project, presents a compilation, summarization, and statistical analysis of aquifer-test results for nine regional aquifers in Louisiana. These are from youngest to oldest: The alluvial, Pleistocene, Evangeline, Jasper, Catahoula, Cockfield, Sparta, Carrizo, and Wilcox aquifers. Approximately 1,500 aquifer tests in U.S. Geological Survey files in Louisiana were examined and 1,001 were input to a computer file. Analysis of the aquifer test results and plots that describe aquifer hydraulic characteristics were made for each regional aquifer. Results indicate that, on the average, permeability (hydraulic conductivity) generally tends to decrease from the youngest aquifers to the oldest. The most permeable aquifers in Louisiana are the alluvial and Pleistocene aquifers; whereas, the least permeable are the Carrizo and Wilcox aquifers. (Author 's abstract)

  18. Regional Scale Meteorological Analysis and Prediction Using GPS Occultation and EOS Data

    NASA Technical Reports Server (NTRS)

    Bromwich, David H.; Shum, C. K.; Zhao, Changyin; Kuo, Bill; Rocken, Chris

    2004-01-01

    The main objective of the research under this award is to improve regional meteorological analysis and prediction for traditionally data limited regions, particularly over the Southern Ocean and Antarctica, using the remote sensing observations from current and upcoming GPS radio occultation missions and the EOS instrument suite. The major components of this project are: 1.Develop and improve the methods for retrieving temperature, moisture, and pressure profiles from GPS radio occultation data and EOS radiometer data. 2. Develop and improve a regional scale data assimilation system (MM5 4DVAR). 3. Perform case studies involving data analysis and numerical modeling to investigate the impact of different data for regional meteorological analysis and the importance of data assimilation for regional meteorological simulation over the Antarctic region. 4. Apply the findings and improvements from the above studies to weather forecasting experiments. 5. In the third year of the award we made significant progress toward the remaining goals of the project. The work included carefully evaluating the performance of an atmospheric mesoscale model, the Polar MM5 in Antarctic applications and improving the upper boundary condition.

  19. Analysis of the economic impacts from ethanol production in three New York State regions. Final report

    SciTech Connect

    Batista, J.C.; Boisvert, R.N.; Kalter, R.J.

    1982-11-01

    This report describes the potential local economic impact of ethanol production industries for three multi-county regions of New York State. The study's input-output analysis suggests that investment in a small cheese whey-ethanol plant would generate far more local employment, per gallon of annual capacity, than a large corn-based plant which would rely more heavily on feedstocks from the outside region. In addition, a cheese whey ethanol plant's impact on dairies in the region would have a greater effect on the local economy than the ethanol plant itself.

  20. Sequence analysis of mitochondrial DNA hypervariable regions using infrared fluorescence detection.

    PubMed

    Steffens, D L; Roy, R

    1998-06-01

    The non-coding region of the mitochondrial genome provides an attractive target for human forensic identification studies. Two hypervariable (HV) regions, each approximately 250-350 bp in length, contain the majority of mitochondrial DNA (mtDNA) sequence variability among different individuals. Various approaches to determine mtDNA sequence were evaluated utilizing highly sensitive infrared (IR) fluorescence detection. HV regions were amplified either together or separately and cycle-sequenced using a Thermo Sequenase protocol. An M13 universal primer sequence tail covalently attached to the 5' terminus of an amplification primer facilitated electrophoretic analysis and direct sequencing of the amplification products using IR detection. PMID:9631201

  1. Analysis of the regions flanking the human insulin gene and sequence of an Alu family member.

    PubMed Central

    Bell, G I; Pictet, R; Rutter, W J

    1980-01-01

    The regions around the human insulin gene have been studied by heteroduplex, hybridization and sequence analysis. These studies indicated that there is a region of heterogeneous length located approximately 700 bp before the 5' end of the gene; and that the 19 kb of cloned DNA which includes the 1430 bp insulin gene as well as 5650 bp before and 11,500 bp after the gene is single copy sequence except for 500 bp located 6000 bp from the 3' end of the gene. This 500 bp segment contains a member of the Alu family of dispersed middle repetitive sequences as well as another less highly repeated homopolymeric segment. The sequence of this region was determined. This Alu repeat is bordered by 19 bp direct repeats and also contains an 83 bp sequence which is present twice. The regions flanking the human and rat I insulin genes were compared by heteroduplex analysis to localize homologous sequences in the flanking regions which could be involved in the regulation of insulin biosynthesis. The homology between the two genes is restricted to the region encoding preproinsulin and a short region of approximately 60 bp flanking the 5' side of the genes. Images PMID:6253909

  2. Regional Disparities in Obesity Prevalence in the United States: A Spatial Regime Analysis

    PubMed Central

    Myers, Candice A.; Slack, Tim; Martin, Corby K.; Broyles, Stephanie T.; Heymsfield, Steven B.

    2014-01-01

    Objective Significant clusters of high and low obesity counties have been demonstrated across the United States (U.S.). This study examined regional disparities in obesity prevalence and differences in the related structural characteristics across regions of the U.S. Design and Methods Drawing on model-based estimates from the Centers for Disease Control and Prevention, regional differences in county-level adult obesity prevalence (percent of the adult population [≥ 20 years] that was obese [BMI≥30kg/m2] within a county, 2009) were assessed with a LISA (Local Indicators of Spatial Association) analysis to identify geographic concentrations of high and low obesity levels. We utilized regional regime analysis to identify factors that were differentially associated with obesity prevalence between regions of the U.S. Results High and low obesity county clusters and the effect of a number of county-level characteristics on obesity prevalence differed significantly by region. These included the positive effect of African American populations in the South, the negative effect of Hispanic populations in the Northeast, and the positive effect of unemployed workers in the Midwest and West. Conclusions Our findings suggest the need for public health policies and interventions that account for different regional characteristics underlying obesity prevalence variation across the U.S. PMID:25521074

  3. Geographical Information System Based Analysis of Paleofluvial System in the Kuwait Region.

    NASA Astrophysics Data System (ADS)

    Mohammad, R.; Harbert, W.

    2006-12-01

    Hydrologic mapping and modeling of valley networks using Landsat 7 resolution image and SRTM-derived topographic data to quantitatively characterize surface fluvial systems and analyze the role of water in the evolution of the Kuwait region has been completed. SRTM-derived Digital Elevation Models (DEM) were combined to build a regional DEM mosaic for the Kuwait region, which was the basis for our analysis. This dataset was analyzed using surface hydrological analysis tools within ArcGIS 9.1 to model drainage basin geometry and surface stream networks in order to determine basin and network parameters for this region. We derived maps of stream order, drainage density, bifurcation ratio, and other parameters that are useful in characterizing the geologic and climatic conditions of watershed formation. As part of our ongoing research in model builder, we have included model precipitation variation used in our analysis. Variation of this parameter and the resulting drainage networks were then compared with Landsat 7 high resolution images of this region. These results were interpreted to suggest wetter early Holocene climatic conditions, either as a result of intensification of summer monsoonal rain, or an increase in Mediterranean cyclonic winter rainfall. Further research and field analysis of deposits from that area is recommended to determine the source of early Holocene rainfall.

  4. Coding region SNP analysis to enhance dog mtDNA discrimination power in forensic casework.

    PubMed

    Verscheure, Sophie; Backeljau, Thierry; Desmyter, Stijn

    2015-01-01

    The high population frequencies of three control region haplotypes contribute to the low discrimination power of the dog mtDNA control region. It also diminishes the evidential power of a match with one of these haplotypes in forensic casework. A mitochondrial genome study of 214 Belgian dogs suggested 26 polymorphic coding region sites that successfully resolved dogs with the three most frequent control region haplotypes. In this study, three SNP assays were developed to determine the identity of the 26 informative sites. The control region of 132 newly sampled dogs was sequenced and added to the study of 214 dogs. The assays were applied to 58 dogs of the haplotypes of interest, which confirmed their suitability for enhancing dog mtDNA discrimination power. In the Belgian population study of 346 dogs, the set of 26 sites divided the dogs into 25 clusters of mtGenome sequences with substantially lower population frequency estimates than their control region sequences. In case of a match with one of the three control region haplotypes, using these three SNP assays in conjunction with control region sequencing would augment the exclusion probability of dog mtDNA analysis from 92.9% to 97.0%.

  5. Coding region SNP analysis to enhance dog mtDNA discrimination power in forensic casework.

    PubMed

    Verscheure, Sophie; Backeljau, Thierry; Desmyter, Stijn

    2015-01-01

    The high population frequencies of three control region haplotypes contribute to the low discrimination power of the dog mtDNA control region. It also diminishes the evidential power of a match with one of these haplotypes in forensic casework. A mitochondrial genome study of 214 Belgian dogs suggested 26 polymorphic coding region sites that successfully resolved dogs with the three most frequent control region haplotypes. In this study, three SNP assays were developed to determine the identity of the 26 informative sites. The control region of 132 newly sampled dogs was sequenced and added to the study of 214 dogs. The assays were applied to 58 dogs of the haplotypes of interest, which confirmed their suitability for enhancing dog mtDNA discrimination power. In the Belgian population study of 346 dogs, the set of 26 sites divided the dogs into 25 clusters of mtGenome sequences with substantially lower population frequency estimates than their control region sequences. In case of a match with one of the three control region haplotypes, using these three SNP assays in conjunction with control region sequencing would augment the exclusion probability of dog mtDNA analysis from 92.9% to 97.0%. PMID:25299153

  6. Comparative Analysis Of 226Ra Soil-To-Plant Transfer In Cabbage Grown In Various Regions

    NASA Astrophysics Data System (ADS)

    Madruga, M. J.; Carvalho, F. P.; Silva, L.; Gouveia, J.

    2008-08-01

    The transfer of 226Ra from soil to cabbage was compared amongst regions, namely the surroundings of Urgeiriça uranium milling tailings (GE), regions with past uranium mining activities (GN1), and regions with no uranium mining activities and no uranium deposits (GN2). Results show a slight increase of the concentration ratio values at low radium concentration in soils. Statistical analysis of the mean 226Ra activity concentrations in soil and cabbage for the three regions was carried out. The comparison of 226Ra activity concentrations in soils indicated no difference (p>0.05), between GE and GN2 and significant differences (p<0.05) between GE and GN1 and between GN1 and GN2. Similar statistical results were obtained for 226Ra activity concentrations in cabbage from the same regions. It was concluded that radium Concentration Ratio (CR) for cabbage grown in the region of the main uranium milling site (GE) is of the same order of magnitude of CR in cabagge grown in background regions (GN2). However, 226Ra CR was higher in cabagge from the region with past uranium mining activities (GN1).

  7. Temporal analysis of regional strain rate during adenosine triphosphate stress before and after percutaneous coronary interventions.

    PubMed

    Gunji, Kazue; Takagi, Atsushi; Arai, Kotaro; Ashihara, Kyomi; Hagiwara, Nobuhisa

    2015-05-01

    Regional myocardial ischemia is thought to be characterized by diastolic dysfunction. We aimed to clarify whether temporal analysis of strain rate (SR) index derived from two-dimensional speckle-tracking echocardiography (2DTE) can assess the regional myocardial ischemia or not. Forty-two patients with significant coronary stenoses were referred for percutaneous coronary intervention (PCI). 2DTE was performed before and a day after PCI. Time from aortic valve closure to peak early diastolic longitudinal SR ∆(TAVC-E SR) was measured both at baseline and during adenosine triphosphate (ATP) infusion. TAVC-E SR was calculated as TAVC-E SR during ATP infusion subtracted by TAVC-E SR at baseline. In forty-five target ischemic regions, TAVC-E SR at baseline was significantly longer than that of control regions (166 ± 28 vs. 136 ± 32 ms, P < 0.0001). TAVC-E SR in target ischemic regions significantly prolonged during ATP stress to 221 ± 37 ms (P < 0.0001), while it did not change in control regions. Immediately after PCI, TAVC-E SR in target regions significantly decreased to 135 ± 27 ms, P < 0.0001 without prolongation during ATP stress. Receiver operating characteristic curves demonstrated that ∆TAVC-E SR could assess regional myocardial ischemia by a cutoff criterion of 14 ms with sensitivity of 93% and specificity of 95%. 2DTE-derived TAVC-E SR significantly increased during ATP stress only in ischemic myocardium. This phenomenon disappeared immediately after PCI. Temporal analysis of TAVC-E SR appeared to be useful to assess the regional myocardial ischemia. PMID:24633495

  8. Modeling and Analysis of Global and Regional Climate Change in Relation to Atmospheric Hydrologic Processes

    NASA Technical Reports Server (NTRS)

    Johnson, Donald R.

    1998-01-01

    The goal of this research is the continued development and application of global isentropic modeling and analysis capabilities to describe hydrologic processes and energy exchange in the climate system, and discern regional climate change. This work involves a combination of modeling and analysis efforts involving 4DDA datasets and simulations from the University of Wisconsin (UW) hybrid isentropic-sigma (theta-sigma) coordinate model and the GEOS GCM.

  9. AN APPROACH FOR DETERMINING REGIONAL LAND COVER AND SPECIES HABITAT DISTRIBUTIONS IN THE AMERICAN SOUTHWEST: THE SOUTHWEST REGIONAL GAP ANALYSIS PROJECT

    EPA Science Inventory

    The Southwest Regional Gap Analysis Project (SWReGAP) is developing seamless digital coverages for land cover, vertebrate animal habitat, and land management status for the 5-state region of Nevada, Arizona, Utah, New Mexico, and Colorado. The project is a second generation effor...

  10. Utilizing ERTS-A imagery for tectonic analysis through study of the Bighorn Mountains Region

    NASA Technical Reports Server (NTRS)

    Hoppin, R. A. (Principal Investigator)

    1973-01-01

    The author has identified the following significant results. Preliminary vegetation analysis has been undertaken on MSS scene 1085-17294, Oct. 16, 1973 in the Bighorn region. Forest Service maps showing detailed distribution of dominant forest types have been compared with MSS bands 5 and 7 positive transparencies, enlarged positive prints, and color imagery produced on an Addcol viewer. Patterns on the ERTS imagery match those on the Forest Service maps quite well. A tectonic map ovearlay of MSS band 7 of the Bighorn region reveals a strong concentration of linears in the uplift as compared to basins. Folds in the Bighorn Basin are visible where not covered by post-Paleocene deposits. In regions where far less is known of the geology than in this area, it might be possible to predict the subsurface occurrence of folds and lineaments on the basis of imagery analysis and more confidently explore covered areas for concealed oil structures and mineral deposits.

  11. Regional scale analysis for the design of storage tanks for domestic rainwater harvesting systems.

    PubMed

    Campisano, A; Modica, C

    2012-01-01

    A regional scale analysis for the design of storage tanks for domestic rain water harvesting systems is presented. The analysis is based on the daily water balance simulation of the storage tank by the yield-after-spillage algorithm as tank release rule. Water balances are applied to 17 rainfall gauging stations in Sicily (Italy). Compared with literature existing methods, a novel dimensionless parameter is proposed to better describe the intra-annual character of the rainfall patterns. As a result, easy-to-use regional regressive models to evaluate the water saving performance and the overflow discharges from the tank are provided along with a stepwise procedure for practical application. The regional models demonstrate good fits between model predictions and simulated values of both water savings and overflows from the tank.

  12. Temperature variation through 2000 years in China: An uncertainty analysis of reconstruction and regional difference

    NASA Astrophysics Data System (ADS)

    Ge, Q.-S.; Zheng, J.-Y.; Hao, Z.-X.; Shao, X.-M.; Wang, Wei-Chyung; Luterbacher, Juerg

    2010-02-01

    Twenty-three published proxy temperature series over China spanning the last 2000 years were selected for an uncertainty analysis in five climate regions. Results indicated that, although large uncertainties are found for the period prior to the 16th century, high level of consistency were identified in all regions during the recent 500-years, highlighted by the two cold periods 1620s-1710s and 1800s-1860s, and the warming during the 20th century. The latter started in Tibet, Northwest and Northeast, and migrated to Central East and Southeast. The analysis also indicates that the warming during the 10-14th centuries in some regions might be comparable in magnitude to the warming of the last few decades of the 20th century which was unprecedented within the past 500 years.

  13. Technology Outlook for Australian Tertiary Education 2013-2018: An NMC Horizon Project Regional Analysis

    ERIC Educational Resources Information Center

    Johnson, L.; Adams Becker, S.; Cummins, M.; Freeman, A.; Ifenthaler, D.; Vardaxis, N.

    2013-01-01

    The "Technology Outlook Australian Tertiary Education 2013-2018: An NMC Horizon Project Regional Analysis" reflects a collaborative research effort between the New Media Consortium (NMC) and Open Universities Australia to help inform Australian educational leaders about significant developments in technologies supporting teaching,…

  14. Regional analysis of annual maximum rainfall using TL-moments method

    NASA Astrophysics Data System (ADS)

    Shabri, Ani Bin; Daud, Zalina Mohd; Ariff, Noratiqah Mohd

    2011-06-01

    Information related to distributions of rainfall amounts are of great importance for designs of water-related structures. One of the concerns of hydrologists and engineers is the probability distribution for modeling of regional data. In this study, a novel approach to regional frequency analysis using L-moments is revisited. Subsequently, an alternative regional frequency analysis using the TL-moments method is employed. The results from both methods were then compared. The analysis was based on daily annual maximum rainfall data from 40 stations in Selangor Malaysia. TL-moments for the generalized extreme value (GEV) and generalized logistic (GLO) distributions were derived and used to develop the regional frequency analysis procedure. TL-moment ratio diagram and Z-test were employed in determining the best-fit distribution. Comparison between the two approaches showed that the L-moments and TL-moments produced equivalent results. GLO and GEV distributions were identified as the most suitable distributions for representing the statistical properties of extreme rainfall in Selangor. Monte Carlo simulation was used for performance evaluation, and it showed that the method of TL-moments was more efficient for lower quantile estimation compared with the L-moments.

  15. Method for Extraction and Multielement Analysis of Hypogymnia Physodes Samples from the Athabasca Oil Sands Region

    EPA Science Inventory

    A microwave-assisted digestion technique followed by ICPMS (inductively coupled plasma-mass spectrometry) analysis was used to measure concentrations of 43 elements in Hypogymnia physodes samples collected in the Athabasca Oil Sands Region (AOSR) of northern Alberta, Canad...

  16. THE NEVADA GEOSPATIAL DATA BROWSER: A SPATIAL DATA ARCHIVE FOR THE SOUTHWEST REGIONAL GAP ANALYSIS PROJECT

    EPA Science Inventory

    The Southwest Regional Gap Analysis project (SWReGAP) is a 5-state (Arizona, Colorado, Nevada, New Mexico, and Utah) inter-agency program that maps the distribution of plant communities and selected animal species and compares these distributions with land stewardship to identify...

  17. Regional frequency analysis to asses wind resource spatial and temporal variations in Washington State

    NASA Astrophysics Data System (ADS)

    Mortuza, M.; Demissie, D.

    2013-12-01

    According to the U.S. Department of Energy's annual wind technologies market report, the wind power capacity in the country grew from 2.5 gigawatts in early 2000 to 60 gigawatts in 2012, making it one of the largest new sources of electric capacity additions in the U.S. in recent years. With over 2.8 gigawatts of current capacity (eighth largest in the nation), Washington State plays a significant role in this rapidly increasing energy resource. To further expand and/or optimize these capacities, assessment of wind resource and its spatial and temporal variations are important. However, since at-site frequency analysis using meteorological data is not adequate for extending wind frequency to locations with no data, longer return period, and heterogeneous topography and surface, a regional frequency analysis based on L-moment method is adopted in this study to estimate regional wind speed patterns and return periods in Washington State using hourly mean wind speed data from 1979 - 2010. The analysis applies the k-means, hierarchical and self-organizing map clustering techniques to explore potential clusters or regions; statistical tests are then applied to identify homogeneous regions and appropriate probability distribution models. The result from the analysis is expected to provide essential knowledge about the areas with potential capacity of constructing wind power plants, which can also be readily extended to assist decisions on their daily operations.

  18. Distance Education and the Six Regional Accrediting Commissions: A Comparative Analysis

    ERIC Educational Resources Information Center

    Howell, Scott L.; Baker, Katherine; Zuehl, Jennett; Johansen, Justin

    2007-01-01

    Background: The last comparative analysis of how the six regional accrediting commissions review distance education programs was conducted in 2000. A few months later in March 2001 all six accrediting bodies did something that they hadn't done before, they adopted common standards for reviewing distance education programs. Purpose: The purpose was…

  19. Is there room for containing healthcare costs? An analysis of regional spending differentials in Italy.

    PubMed

    Francese, Maura; Romanelli, Marzia

    2014-03-01

    This work aims at identifying the determinants of health spending differentials among Italian regions and at highlighting potential margins for savings. The analysis exploits a data set for the 21 Italian regions and autonomous provinces starting in the early 1990s and ending in 2006. After controlling for standard healthcare demand indicators, remaining spending differentials are found to be significant, and they appear to be associated with differences in the degree of appropriateness of treatments, health sector supply structure and social capital indicators. In general, higher regional expenditure does not appear to be associated with better reported or perceived quality in health services. In the regions that display poorer performances, inefficiencies appear not to be uniformly distributed among expenditure items. Overall, results suggest that savings could be achieved without reducing the amount of services provided to citizens. This seems particularly important given the expected rise in spending associated with the forecasted demographic developments.

  20. A Comprehensive Analysis of Groundwater Quality in The Barnett Shale Region.

    PubMed

    Hildenbrand, Zacariah L; Carlton, Doug D; Fontenot, Brian E; Meik, Jesse M; Walton, Jayme L; Taylor, Josh T; Thacker, Jonathan B; Korlie, Stephanie; Shelor, C Phillip; Henderson, Drew; Kadjo, Akinde F; Roelke, Corey E; Hudak, Paul F; Burton, Taylour; Rifai, Hanadi S; Schug, Kevin A

    2015-07-01

    The exploration of unconventional shale energy reserves and the extensive use of hydraulic fracturing during well stimulation have raised concerns about the potential effects of unconventional oil and gas extraction (UOG) on the environment. Most accounts of groundwater contamination have focused primarily on the compositional analysis of dissolved gases to address whether UOG activities have had deleterious effects on overlying aquifers. Here, we present an analysis of 550 groundwater samples collected from private and public supply water wells drawing from aquifers overlying the Barnett shale formation of Texas. We detected multiple volatile organic carbon compounds throughout the region, including various alcohols, the BTEX family of compounds, and several chlorinated compounds. These data do not necessarily identify UOG activities as the source of contamination; however, they do provide a strong impetus for further monitoring and analysis of groundwater quality in this region as many of the compounds we detected are known to be associated with UOG techniques. PMID:26079990

  1. Comparative SWOT analysis of strategic environmental assessment systems in the Middle East and North Africa region.

    PubMed

    Rachid, G; El Fadel, M

    2013-08-15

    This paper presents a SWOT analysis of SEA systems in the Middle East North Africa region through a comparative examination of the status, application and structure of existing systems based on country-specific legal, institutional and procedural frameworks. The analysis is coupled with the multi-attribute decision making method (MADM) within an analytical framework that involves both performance analysis based on predefined evaluation criteria and countries' self-assessment of their SEA system through open-ended surveys. The results show heterogenous status with a general delayed progress characterized by varied levels of weaknesses embedded in the legal and administrative frameworks and poor integration with the decision making process. Capitalizing on available opportunities, the paper highlights measures to enhance the development and enactment of SEA in the region. PMID:23648267

  2. Comparative SWOT analysis of strategic environmental assessment systems in the Middle East and North Africa region.

    PubMed

    Rachid, G; El Fadel, M

    2013-08-15

    This paper presents a SWOT analysis of SEA systems in the Middle East North Africa region through a comparative examination of the status, application and structure of existing systems based on country-specific legal, institutional and procedural frameworks. The analysis is coupled with the multi-attribute decision making method (MADM) within an analytical framework that involves both performance analysis based on predefined evaluation criteria and countries' self-assessment of their SEA system through open-ended surveys. The results show heterogenous status with a general delayed progress characterized by varied levels of weaknesses embedded in the legal and administrative frameworks and poor integration with the decision making process. Capitalizing on available opportunities, the paper highlights measures to enhance the development and enactment of SEA in the region.

  3. A Comprehensive Analysis of Groundwater Quality in The Barnett Shale Region.

    PubMed

    Hildenbrand, Zacariah L; Carlton, Doug D; Fontenot, Brian E; Meik, Jesse M; Walton, Jayme L; Taylor, Josh T; Thacker, Jonathan B; Korlie, Stephanie; Shelor, C Phillip; Henderson, Drew; Kadjo, Akinde F; Roelke, Corey E; Hudak, Paul F; Burton, Taylour; Rifai, Hanadi S; Schug, Kevin A

    2015-07-01

    The exploration of unconventional shale energy reserves and the extensive use of hydraulic fracturing during well stimulation have raised concerns about the potential effects of unconventional oil and gas extraction (UOG) on the environment. Most accounts of groundwater contamination have focused primarily on the compositional analysis of dissolved gases to address whether UOG activities have had deleterious effects on overlying aquifers. Here, we present an analysis of 550 groundwater samples collected from private and public supply water wells drawing from aquifers overlying the Barnett shale formation of Texas. We detected multiple volatile organic carbon compounds throughout the region, including various alcohols, the BTEX family of compounds, and several chlorinated compounds. These data do not necessarily identify UOG activities as the source of contamination; however, they do provide a strong impetus for further monitoring and analysis of groundwater quality in this region as many of the compounds we detected are known to be associated with UOG techniques.

  4. ECOREGIONAL GAP ANALYSIS OF THE SOUTHWESTERN UNITED STATES: THE SOUTHWEST REGIONAL GAP ANALYSIS PROJECT FINAL REPORT

    EPA Science Inventory

    The Gap Analysis Program is a national program with the mission of developing key datasets needed to assess biological diversity across the nation. The primary objectives of the Gap Analysis Program are: (1) Land Cover Mapping – to map the distributions of natural communities; (2...

  5. Region growing by sector analysis for detection of blue-gray ovoids in basal cell carcinoma

    PubMed Central

    Guvenc, S. Pelin; Leander, Robert W.; Kefel, Serkan; Rader, Ryan K.; Hinton, Kristen A.; Stricklin, Sherea M.; Stoecker, William V.

    2014-01-01

    Blue-gray ovoids (B-GOs) are critical dermoscopic structures in basal cell carcinomas (BCCs) that pose a challenge for automatic detection. Due to variation in size and color, B-GOs can be easily mistaken for similar structures in benign lesions. Analysis of these structures could help further accomplish the goal of automatic BCC detection. This study introduces an efficient sector-based method for segmenting B-GOs. Four modifications of conventional region-growing techniques are presented: (i) employing a seed area rather than a seed point, (ii) utilizing fixed control limits determined from the seed area to eliminate re-calculations of previously-added regions, (iii) determining region growing criteria using logistic regression, and (iv) area analysis and expansion by sectors. Contact dermoscopy images of 68 confirmed BCCs having B-GOs were obtained. A total of 24 color features were analyzed for all B-GO seed areas. Logistic regression analysis determined blue chromaticity, followed by red variance, were the best features for discriminating B-GO edges from surrounding areas. Segmentation of malignant structures obtained an average Pratt's figure of merit of 0.397. The techniques presented here provide a non-recursive, sector-based, region-growing method applicable to any colored structure appearing in digital images. Further research using these techniques could lead to automatic detection of B-GOs in BCCs. PMID:23724851

  6. DNA barcode analysis of butterfly species from Pakistan points towards regional endemism

    PubMed Central

    Ashfaq, Muhammad; Akhtar, Saleem; Khan, Arif M; Adamowicz, Sarah J; Hebert, Paul D N

    2013-01-01

    DNA barcodes were obtained for 81 butterfly species belonging to 52 genera from sites in north-central Pakistan to test the utility of barcoding for their identification and to gain a better understanding of regional barcode variation. These species represent 25% of the butterfly fauna of Pakistan and belong to five families, although the Nymphalidae were dominant, comprising 38% of the total specimens. Barcode analysis showed that maximum conspecific divergence was 1.6%, while there was 1.7–14.3% divergence from the nearest neighbour species. Barcode records for 55 species showed <2% sequence divergence to records in the Barcode of Life Data Systems (BOLD), but only 26 of these cases involved specimens from neighbouring India and Central Asia. Analysis revealed that most species showed little incremental sequence variation when specimens from other regions were considered, but a threefold increase was noted in a few cases. There was a clear gap between maximum intraspecific and minimum nearest neighbour distance for all 81 species. Neighbour-joining cluster analysis showed that members of each species formed a monophyletic cluster with strong bootstrap support. The barcode results revealed two provisional species that could not be clearly linked to known taxa, while 24 other species gained their first coverage. Future work should extend the barcode reference library to include all butterfly species from Pakistan as well as neighbouring countries to gain a better understanding of regional variation in barcode sequences in this topographically and climatically complex region. PMID:23789612

  7. An exploratory spatial analysis of soil organic carbon distribution in Canadian eco-regions

    NASA Astrophysics Data System (ADS)

    Tan, S.-Y.; Li, J.

    2014-11-01

    As the largest carbon reservoir in ecosystems, soil accounts for more than twice as much carbon storage as that of vegetation biomass or the atmosphere. This paper examines spatial patterns of soil organic carbon (SOC) in Canadian forest areas at an eco-region scale of analysis. The goal is to explore the relationship of SOC levels with various climatological variables, including temperature and precipitation. The first Canadian forest soil database published in 1997 by the Canada Forest Service was analyzed along with other long-term eco-climatic data (1961 to 1991) including precipitation, air temperature, slope, aspect, elevation, and Normalized Difference Vegetation Index (NDVI) derived from remote sensing imagery. In addition, the existing eco-region framework established by Environment Canada was evaluated for mapping SOC distribution. Exploratory spatial data analysis techniques, including spatial autocorrelation analysis, were employed to examine how forest SOC is spatially distributed in Canada. Correlation analysis and spatial regression modelling were applied to determine the dominant ecological factors influencing SOC patterns at the eco-region level. At the national scale, a spatial error regression model was developed to account for spatial dependency and to estimate SOC patterns based on ecological and ecosystem factors. Based on the significant variables derived from the spatial error model, a predictive SOC map in Canadian forest areas was generated. Although overall SOC distribution is influenced by climatic and topographic variables, distribution patterns are shown to differ significantly between eco-regions. These findings help to validate the eco-region classification framework for SOC zonation mapping in Canada.

  8. Northern Powder River basin coal, Montana. Final environmental statement, regional analysis

    SciTech Connect

    Not Available

    1980-01-01

    This environmental statement is in two parts: a regional analysis and a site-specific analysis of coal development in the northern Powder River basin region of Montana. The regional analysis addresses cumulative impacts of coal development in the region by 1990, with emphasis on industry proposals that now require or have recently required action by Federal and state authorities. A site-specific analysis of the proposed mining and reclamation plan for the Pearl mine makes up volumes 2 and 4 of this FES. Total annual coal production from the designated region of southeastern Montana is estimated at about 39 million tons by 1980, 50 million tons by 1985, and 53 million tons by 1990. The Big Sky, Pearl, and Spring Creek mines would collectively produce approximately 15% of the total by 1980, 26.5% by 1985, and 25% by 1990. Three impacts were determined to be locally significant. The National Ambient Air Quality Standards for total suspended particulates would frequently be exceeded near all three minesites during mine life. Degradation of air quality would cause subtle injury to vegetation within about 1 mile of the mines and about 4 miles of the generating units, slightly reducing vegetative productivity. Wildlife populations, primarily antelope, mule deer, and sage grouse, would be significantly reduced during mine life and probably for several decades after mining. No threatened or endangered species would be adversely affected.Social impacts would be significant in Colstrip and Forsyth - comparable to those experienced during the construction of Colstrip units 1 and 2. At least during the 2 or 3 years of most rapid growth, local governments, formal and informal institutions, and social networks in Colstrip and Forsyth would not be able to meet the demands placed on them. Comment letters and responses are included.

  9. A tissue-level model of the left ventricle for the analysis of regional myocardial function

    PubMed Central

    Le Rolle, Virginie; Hernandez, Alfredo I.; Richard, Pierre-Yves; Donal, Erwan; Carrault, Guy

    2007-01-01

    This paper presents a model-based method for the analysis of regional myocardial strain, based on echocardiography and Tissue Doppler Imaging (TDI). A multi-formalism, tissue-level electromechanical model of the left ventricle is proposed. The parameters of the model are identified in order to reproduce regional strain signal morphologies obtained from a healthy subject and a patient presenting a dilated cardiomyopathy. The parameters identified for the DCM patient allow the localization of the failing myocardial segments and may be useful for a better design of cardiac resynchronization therapy on heart failure patients. PMID:18002171

  10. Preserved pontine glucose metabolism in Alzheimer disease: A reference region for functional brain image (PET) analysis

    SciTech Connect

    Minoshima, Satoshi; Frey, K.A.; Foster, N.L.; Kuhl, D.W.

    1995-07-01

    Our goal was to examine regional preservation of energy metabolism in Alzheimer disease (AD) and to evaluate effects of PET data normalization to reference regions. Regional metabolic rates in the pons, thalamus, putamen, sensorimotor cortex, visual cortex, and cerebellum (reference regions) were determined stereotaxically and examined in 37 patients with probable AD and 22 normal controls based on quantitative {sup 18}FDG-PET measurements. Following normalization of metabolic rates of the parietotemporal association cortex and whole brain to each reference region, distinctions of the two groups were assessed. The pons showed the best preservation of glucose metabolism in AD. Other reference regions showed relatively preserved metabolism compared with the parietotemporal association cortex and whole brain, but had significant metabolic reduction. Data normalization to the pons not only enhanced statistical significance of metabolic reduction in the parietotemporal association cortex, but also preserved the presence of global cerebral metabolic reduction indicated in analysis of the quantitative data. Energy metabolism in the pons in probable AD is well preserved. The pons is a reliable reference for data normalization and will enhance diagnostic accuracy and efficiency of quantitative and nonquantitative functional brain imaging. 39 refs., 2 figs., 3 tabs.

  11. Global and regional analysis of climate and human drivers of wildfire.

    PubMed

    Aldersley, Andrew; Murray, Steven J; Cornell, Sarah E

    2011-08-15

    Identifying and quantifying the statistical relationships between climate and anthropogenic drivers of fire is important for global biophysical modelling of wildfire and other Earth system processes. This study used regression tree and random forest analysis on global data for various climatic and human variables to establish their relative importance. The main interactions found at the global scale also apply regionally: greatest wildfire burned area is associated with high temperature (> 28 °C), intermediate annual rainfall (350-1100 mm), and prolonged dry periods (which varies by region). However, the regions of highest fire incidence do not show clear and systematic behaviour. Thresholds seen in the regression tree split conditions vary, as do the interplay between climatic and anthropogenic variables, so challenges remain in developing robust predictive insight for the most wildfire-threatened regions. Anthropogenic activities alter the spatial extent of wildfires. Gross domestic product (GDP) density is the most important human predictor variable at the regional scale, and burned area is always greater when GDP density is minimised. South America is identified as a region of concern, as anthropogenic factors (notably land conversions) outweigh climatic drivers of wildfire burned area.

  12. Regional maximum rainfall analysis using L-moments at the Titicaca Lake drainage, Peru

    NASA Astrophysics Data System (ADS)

    Fernández-Palomino, Carlos Antonio; Lavado-Casimiro, Waldo Sven

    2016-07-01

    The present study investigates the application of the index flood L-moments-based regional frequency analysis procedure (RFA-LM) to the annual maximum 24-h rainfall (AM) of 33 rainfall gauge stations (RGs) to estimate rainfall quantiles at the Titicaca Lake drainage (TL). The study region was chosen because it is characterised by common floods that affect agricultural production and infrastructure. First, detailed quality analyses and verification of the RFA-LM assumptions were conducted. For this purpose, different tests for outlier verification, homogeneity, stationarity, and serial independence were employed. Then, the application of RFA-LM procedure allowed us to consider the TL as a single, hydrologically homogeneous region, in terms of its maximum rainfall frequency. That is, this region can be modelled by a generalised normal (GNO) distribution, chosen according to the Z test for goodness-of-fit, L-moments (LM) ratio diagram, and an additional evaluation of the precision of the regional growth curve. Due to the low density of RG in the TL, it was important to produce maps of the AM design quantiles estimated using RFA-LM. Therefore, the ordinary Kriging interpolation (OK) technique was used. These maps will be a useful tool for determining the different AM quantiles at any point of interest for hydrologists in the region.

  13. Detecting Anomaly Regions in Satellite Image Time Series Based on Sesaonal Autocorrelation Analysis

    NASA Astrophysics Data System (ADS)

    Zhou, Z.-G.; Tang, P.; Zhou, M.

    2016-06-01

    Anomaly regions in satellite images can reflect unexpected changes of land cover caused by flood, fire, landslide, etc. Detecting anomaly regions in satellite image time series is important for studying the dynamic processes of land cover changes as well as for disaster monitoring. Although several methods have been developed to detect land cover changes using satellite image time series, they are generally designed for detecting inter-annual or abrupt land cover changes, but are not focusing on detecting spatial-temporal changes in continuous images. In order to identify spatial-temporal dynamic processes of unexpected changes of land cover, this study proposes a method for detecting anomaly regions in each image of satellite image time series based on seasonal autocorrelation analysis. The method was validated with a case study to detect spatial-temporal processes of a severe flooding using Terra/MODIS image time series. Experiments demonstrated the advantages of the method that (1) it can effectively detect anomaly regions in each of satellite image time series, showing spatial-temporal varying process of anomaly regions, (2) it is flexible to meet some requirement (e.g., z-value or significance level) of detection accuracies with overall accuracy being up to 89% and precision above than 90%, and (3) it does not need time series smoothing and can detect anomaly regions in noisy satellite images with a high reliability.

  14. Regional frequency analysis of extreme rainfalls using partial L moments method

    NASA Astrophysics Data System (ADS)

    Zakaria, Zahrahtul Amani; Shabri, Ani

    2013-07-01

    An approach based on regional frequency analysis using L moments and LH moments are revisited in this study. Subsequently, an alternative regional frequency analysis using the partial L moments (PL moments) method is employed, and a new relationship for homogeneity analysis is developed. The results were then compared with those obtained using the method of L moments and LH moments of order two. The Selangor catchment, consisting of 37 sites and located on the west coast of Peninsular Malaysia, is chosen as a case study. PL moments for the generalized extreme value (GEV), generalized logistic (GLO), and generalized Pareto distributions were derived and used to develop the regional frequency analysis procedure. PL moment ratio diagram and Z test were employed in determining the best-fit distribution. Comparison between the three approaches showed that GLO and GEV distributions were identified as the suitable distributions for representing the statistical properties of extreme rainfall in Selangor. Monte Carlo simulation used for performance evaluation shows that the method of PL moments would outperform L and LH moments methods for estimation of large return period events.

  15. Accumulation characteristics and correlation analysis of five ginsenosides with different cultivation ages from different regions

    PubMed Central

    Xiao, Dan; Yue, Hao; Xiu, Yang; Sun, Xiuli; Wang, YiBo; Liu, ShuYing

    2015-01-01

    Background Ginseng (the roots of Panax ginseng Meyer) is a well-known traditional Oriental medicine and is now widely used as a health food. It contains several types of ginsenosides, which are considered the major active medicinal components of ginseng. It has recently been reported that the qualitative and quantitative properties of ginsenosides found in ginseng may differ, depending on cultivation regions, ages, species, and so on. Therefore, it is necessary to study these variations with respect to cultivation ages and regions. Methods In this study, 3–6-yr-old roots of P. ginseng were collected from three different cultivation regions. The contents of five ginsenosides (Rb1, Rd, Rc, Re, and Rgl) were measured by rapid resolution liquid chromatography coupled with quadruple–time-of-flight mass spectrometry. The Kruskal–Wallis Rank sum test and multiple t test were used for comparative analysis of the data to evaluate the dynamic changes in the accumulation of these ginsenosides affected by cultivation regions and ages. Results The content and composition of ginsenosides varied significantly among specimens collected from different cultivation regions and having different cultivation ages. For all samples, the content of Rg1 and Re ginsenosides increases with age and this rate of increase is different for each sample. The contents of Rb1, Rc, and Rd varied with cultivation ages in samples from different cultivation regions; especially, Rb1 from a 6-yr-old root showed approximately twofold variation among the samples from three cultivation regions. Furthermore, the content of Rb1 highly correlated with that of Rd (r = 0.89 across all locations and ages). Conclusion In our study, only the contents of ginsenosides Rg1 and Re were affected by the root age. Ginsenosides Rb1, Rc, and Rd varied widely with ages in samples from different cultivation regions. PMID:26869826

  16. Analysis of tissue-specific region in sericin 1 gene promoter of Bombyx mori

    SciTech Connect

    Liu Yan; Yu Lian; Guo Xiuyang; Guo Tingqing; Wang Shengpeng; Lu Changde . E-mail: cdlu@sibs.ac.cn

    2006-03-31

    The gene encoding sericin 1 (Ser1) of silkworm (Bombyx mori) is specifically expressed in the middle silk gland cells. To identify element involved in this transcription-dependent spatial restriction, truncation of the 5' terminal from the sericin 1 (Ser1) promoter is studied in vivo. A 209 bp DNA sequence upstream of the transcriptional start site (-586 to -378) is found to be responsible for promoting tissue-specific transcription. Analysis of this 209 bp region by overlapping deletion studies showed that a 25 bp region (-500 to -476) suppresses the ectopic expression of the Ser1 promoter. An unknown factor abundant in fat body nuclear extracts is shown to bind to this 25 bp fragment. These results suggest that this 25 bp region and the unknown factor are necessary for determining the tissue-specificity of the Ser1 promoter.

  17. Descriptive analysis of the inequalities of health information resources between Alberta's rural and urban health regions.

    PubMed

    Stieda, Vivian; Colvin, Barb

    2009-01-01

    In an effort to understand the extent of the inequalities in health information resources across Alberta, SEARCH Custom, HKN (Health Knowledge Network) and IRREN (Inter-Regional Research and Evaluation Network) conducted a survey in December 2007 to determine what library resources currently existed in Alberta's seven rural health regions and the two urban health regions. Although anecdotal evidence indicated that these gaps existed, the analysis was undertaken to provide empirical evidence of the exact nature of these gaps. The results, coupled with the published literature on the impact, effectiveness and value of information on clinical practice and administrative decisions in healthcare management, will be used to build momentum among relevant stakeholders to support a vision of equitably funded health information for all healthcare practitioners across the province of Alberta.

  18. Global and regional aerosol trends from 1980 to 2009: Model analysis of long-term observations

    NASA Astrophysics Data System (ADS)

    Chin, M.; Diehl, T. L.; Tan, Q.; Streets, D. G.; Bian, H.; Remer, L. A.; Levy, R. C.; Hsu, N. C.; Kahn, R. A.; Zhao, X.; Mishchenko, M. I.; Torres, O.; Holben, B. N.; Prospero, J. M.

    2012-12-01

    We present a global model analysis of aerosol trends from 1980 to 2009 in different land and oceanic regions in the world and assessing the anthropogenic and natural emission impact on those trends. The global model GOCART simulated aerosol optical depth are compared with the long-term data from satellite (AVHRR, TOMS, SeaWiFS, MODIS, and MISR) retrievals and ground-based sunphotometer (AERONET) measurements, and surface concentrations with surface measurements from the IMPROVE network in the U.S., the EMEP network in Europe, and the University of Miami managed sites over islands in the oceans. We examine the relationship between emissions, surface concentrations, and column AOD in pollution, dust, and biomass burning dominated source regions and downwind areas and assess the anthropogenic impact on the global and regional aerosol trends.

  19. [Differential geometry expression and analysis of regionalized variables of typical pollutants concentration in terrestrial environment].

    PubMed

    Ye, Han-Feng; Guo, Shu-Hai; Wu, Bo; Wang, Yan-Hu

    2009-10-01

    Based on the basic concepts of differential geometry in analyzing environmental data and establishing related models, the methodology for differential geometry expression and analysis of pollutants concentration in terrestrial environment was presented. As a kind of regionalized variables, the spatial distribution pattern of the pollutants concentration was transformed into 3-dimension form, and fitted with conicoid. This approach made it possible to analyze the quantitative relationships between the regionalized variables and their spatial structural attributes. For illustration purpose, several sorts of typical space fabrics, such as convexity, concavity, ridge, ravine, saddle, and slope, were calculated and characterized. It was suggested that this approach was feasible for analyzing the regionalized variables of pollutants concentration in terrestrial environment. PMID:20077707

  20. [Differential geometry expression and analysis of regionalized variables of typical pollutants concentration in terrestrial environment].

    PubMed

    Ye, Han-Feng; Guo, Shu-Hai; Wu, Bo; Wang, Yan-Hu

    2009-10-01

    Based on the basic concepts of differential geometry in analyzing environmental data and establishing related models, the methodology for differential geometry expression and analysis of pollutants concentration in terrestrial environment was presented. As a kind of regionalized variables, the spatial distribution pattern of the pollutants concentration was transformed into 3-dimension form, and fitted with conicoid. This approach made it possible to analyze the quantitative relationships between the regionalized variables and their spatial structural attributes. For illustration purpose, several sorts of typical space fabrics, such as convexity, concavity, ridge, ravine, saddle, and slope, were calculated and characterized. It was suggested that this approach was feasible for analyzing the regionalized variables of pollutants concentration in terrestrial environment.

  1. Functional analysis of the upstream regulatory region of chicken miR-17-92 cluster.

    PubMed

    Min, Cheng; Wenjian, Zhang; Tianyu, Xing; Xiaohong, Yan; Yumao, Li; Hui, Li; Ning, Wang

    2016-08-01

    miR-17-92 cluster plays important roles in cell proliferation, differentiation, apoptosis, animal development and tumorigenesis. The transcriptional regulation of miR-17-92 cluster has been extensively studied in mammals, but not in birds. To date, avian miR-17-92 cluster genomic structure has not been fully determined. The promoter location and sequence of miR-17-92 cluster have not been determined, due to the existence of a genomic gap sequence upstream of miR-17-92 cluster in all the birds whose genomes have been sequenced. In this study, genome walking was used to close the genomic gap upstream of chicken miR-17-92 cluster. In addition, bioinformatics analysis, reporter gene assay and truncation mutagenesis were used to investigate functional role of the genomic gap sequence. Genome walking analysis showed that the gap region was 1704 bp long, and its GC content was 80.11%. Bioinformatics analysis showed that in the gap region, there was a 200 bp conserved sequence among the tested 10 species (Gallus gallus, Homo sapiens, Pan troglodytes, Bos taurus, Sus scrofa, Rattus norvegicus, Mus musculus, Possum, Danio rerio, Rana nigromaculata), which is core promoter region of mammalian miR-17-92 host gene (MIR17HG). Promoter luciferase reporter gene vector of the gap region was constructed and reporter assay was performed. The result showed that the promoter activity of pGL3-cMIR17HG (-4228/-2506) was 417 times than that of negative control (empty pGL3 basic vector), suggesting that chicken miR-17-92 cluster promoter exists in the gap region. To further gain insight into the promoter structure, two different truncations for the cloned gap sequence were generated by PCR. One had a truncation of 448 bp at the 5'-end and the other had a truncation of 894 bp at the 3'-end. Further reporter analysis showed that compared with the promoter activity of pGL3-cMIR17HG (-4228/-2506), the reporter activities of the 5'-end truncation and the 3'-end truncation were reduced by 19

  2. Minimax regret optimization analysis for a regional solid waste management system.

    PubMed

    Chang, Ni-Bin; Davila, Eric

    2007-01-01

    Solid waste management (SWM) facilities are crucial for environmental management and public health in urban regions. Due to the waste management hierarchy, one of the greatest challenges that organizations face today is to figure out how to diversify the treatment options, increase the reliability of infrastructure systems, and leverage the redistribution of waste streams among incineration, compost, recycling, and other facilities to their competitive advantage region wide. Systems analysis plays an important role for regionalization assessment of integrated SWM systems, leading to provide decision makers with break-through insights and risk-informed strategies. This paper aims to apply a minimax regret optimization analysis for improving SWM strategies in the Lower Rio Grande Valley (LRGV), an economically fast growing region in the US. Based on different environmental, economic, legal, and social conditions, event-based simulation in the first stage links estimated waste streams in major cities in LRGV with possible solid waste management alternatives. The optimization analysis in the second stage emphasizes the trade-offs and associated regret evaluation with respect to predetermined scenarios. Such optimization analyses with multiple criteria have featured notable successes, either by public or private efforts, in diverting recyclables, green waste, yard waste, and biosolids from the municipal solid waste streams to upcoming waste-to-energy, composting, and recycling facilities. Model outputs may link prescribed regret scenarios in decision making with various scales of regionalization policies. The insights drawn from the system-oriented, forward-looking, and preventative study can eventually help decision-makers and stakeholders gain a scientific understanding of the consequences of short-term and long-term decisions relating to sustainable SWM in the fast-growing US-Mexico borderland.

  3. Regional risk assessment for contaminated sites part 1: vulnerability assessment by multicriteria decision analysis.

    PubMed

    Zabeo, A; Pizzol, L; Agostini, P; Critto, A; Giove, S; Marcomini, A

    2011-11-01

    As highlighted in the EU Soil Communication, local contamination is one of the main soil threats and it is often related to present and past industrial activities which left a legacy of a high number of contaminated sites in Europe. These contaminated sites can be harmful to many different receptors according to their sensitivity/susceptibility to contamination, and specific vulnerability evaluations are needed in order to manage this widely spread environmental issue. In this paper a novel comprehensive vulnerability assessment framework to assess regional receptor susceptibility to contaminated site is presented. The developed methodology, which combines multi criteria decision analysis (MCDA) techniques and spatial analysis, can be applied to different receptors recognized as relevant for regional assessment. In order to characterize each receptor, picked parameters significant for the estimation of the vulnerability to contaminated sites have been selected, normalized and aggregated by means of multi criteria decision analysis (MCDA) techniques. The developed MCDA methodology, based on the Choquet integral, allows to include expert judgments for the elicitation of synergic and conflicting effects between involved criteria and is applied to all the geographical objects representing the identified receptors. To test the potential of the vulnerability methodology, it has been applied to a specific case study area in the upper Silesia region of Poland where it proved to be reliable and consistent with the environmental experts' expected results. The vulnerability assessment results indicate that groundwater is the most vulnerable receptor characterized by a wide area with vulnerability scores belonging to the highest vulnerability class. As far as the other receptors are concerned, human health and surface water are characterized by quite homogeneous vulnerability scores falling in the medium-high vulnerability classes, while protected areas resulted to be the less

  4. Minimax regret optimization analysis for a regional solid waste management system.

    PubMed

    Chang, Ni-Bin; Davila, Eric

    2007-01-01

    Solid waste management (SWM) facilities are crucial for environmental management and public health in urban regions. Due to the waste management hierarchy, one of the greatest challenges that organizations face today is to figure out how to diversify the treatment options, increase the reliability of infrastructure systems, and leverage the redistribution of waste streams among incineration, compost, recycling, and other facilities to their competitive advantage region wide. Systems analysis plays an important role for regionalization assessment of integrated SWM systems, leading to provide decision makers with break-through insights and risk-informed strategies. This paper aims to apply a minimax regret optimization analysis for improving SWM strategies in the Lower Rio Grande Valley (LRGV), an economically fast growing region in the US. Based on different environmental, economic, legal, and social conditions, event-based simulation in the first stage links estimated waste streams in major cities in LRGV with possible solid waste management alternatives. The optimization analysis in the second stage emphasizes the trade-offs and associated regret evaluation with respect to predetermined scenarios. Such optimization analyses with multiple criteria have featured notable successes, either by public or private efforts, in diverting recyclables, green waste, yard waste, and biosolids from the municipal solid waste streams to upcoming waste-to-energy, composting, and recycling facilities. Model outputs may link prescribed regret scenarios in decision making with various scales of regionalization policies. The insights drawn from the system-oriented, forward-looking, and preventative study can eventually help decision-makers and stakeholders gain a scientific understanding of the consequences of short-term and long-term decisions relating to sustainable SWM in the fast-growing US-Mexico borderland. PMID:16793251

  5. High beta and second region stability analysis and ICRF edge modeling

    SciTech Connect

    Not Available

    1989-01-01

    This report describes the tasks accomplished under Department of Energy contract [number sign]DE-FG02-86ER53236 in modeling the edge plasma-antenna interaction that occurs during Ion Cyclotron Range of Frequency (ICRF) heating. This work has resulted in the development of several codes which determine kinetic and fluid modifications to the edge plasma. When used in combination, these code predict the level of impurity generation observed in experiments on the experiments on the Princeton Large Torus. In addition, these models suggest improvements to the design of ICRF antennas. Also described is progress made on high beta and second region analysis. Code development for a comprehensive infernal mode analysis code is nearing completion. A method has been developed for parameterizing the second region of stability and is applied to circular cross section tokamas. Various studies for high beta experimental devices such as PBX-M and DIII-D have been carried out and are reported on.

  6. The influence of regional deprivation index on personal happiness using multilevel analysis

    PubMed Central

    Kim, Kil Hun; Chun, Jin-Ho; Sohn, Hae Sook

    2015-01-01

    OBJECTIVES: The objective of the present study was to identify the factors that influence the happiness index of community residents, by considering personal and regional aspects, and to use as evidence of efforts for improvement of the happiness index. METHODS: The study was conducted based on information from 16,270 participants who met the data requirement among those who participated in the 2011 South Gyeongsang Community Health Survey. Of the factors that can influence the happiness index, socioeconomic characteristics, health behavior, morbidity, and healthcare use, social contact, and participation in social activities were classified as personal factors; for regional factors, data from the 2010 census were used to extrapolate the regional deprivation indices at the submunicipal-level (eup, myeon, and dong) in South Gyeongsang Province. The happiness index for each characteristic was compared to that for others via t-test and ANOVA, and multilevel analysis was performed, using four models: a basic model for identification of only random effects, model 1 for identification of personal factors, model 2 for identification of regional factors, and model 3 for simultaneous consideration of both personal and regional factors. RESULTS: The mean happiness index was 63.2 points (64.6 points in males and 62.0 points in females), while the mean deprivation index was -1.58 points. In the multilevel analysis, the regional-level variance ratio of the basic model was 10.8%, confirming interregional differences. At the personal level, higher happiness indices were seen in groups consisting of males with high educational level, high income, high degree of physical activity, sufficient sleep, active social contact, and participation in social activities; whereas lower happiness indices were seen in people who frequently skipped breakfast, had unmet healthcare needs, and had accompanying diseases, as well as those with higher deprivation index. CONCLUSIONS: The study confirmed

  7. Partial-wave analysis of n +241Am reaction cross sections in the resonance region

    NASA Astrophysics Data System (ADS)

    Noguere, G.; Bouland, O.; Kopecky, S.; Lampoudis, C.; Schillebeeckx, P.; Plompen, A.; Gunsing, F.; Sage, C.; Sirakov, I.

    2015-07-01

    Cross sections for neutron-induced reactions of 241Am in the resonance region have been evaluated. Results of time-of-flight cross section experiments carried out at the GELINA, LANSCE, ORELA and Saclay facilities have been combined with optical model calculations to derive consistent cross sections from the thermal energy region up to the continuum region. Resolved resonance parameters were derived from a resonance shape analysis of transmissions, capture yields, and fission yields in the energy region up to 150 eV using the refit code. From a statistical analysis of these parameters, a neutron strength function (104S0=1.01 ±0.12 ), mean level spacing (D0=0.60 ±0.01 eV) and average radiation width (<Γγ 0>=43.3 ±1.1 meV) for s -wave resonances were obtained. Neutron strength functions for higher partial waves (l >0 ) together with channel and effective scattering radii were deduced from calculations based on a complex mean-field optical model potential, applying an equivalent hard-sphere scattering radius approximation.

  8. Assessing global greenhouse effect and its variability through regional analysis of satellite data

    SciTech Connect

    Otterman, J.; Anyamba, E.; Susskind, J.

    1997-11-01

    This paper presents a preliminary study of the greenhouse factor (G) and its seasonal, interannual, and short-term variability on regional and global scales. The analysis uses satellite observations, the Pathfinder Path A set, for both outgoing longware radiation (OLR) and and surface emission (SE). Satellite data from a 4-year period was used to examine G, with a focus on regions that are likely to contribute significantly to the observed global variability. A higher seasonal change in global G (as compared to OLR) was found; in comparison, OLR varies from half the G variance range. The March-April 1987 El Nino region anomaly of the greenhouse factor correlated quite well with a cloud fraction anomaly, but at other times cloud fraction anomalies were observed without a G anomaly. The interannual anomalies of G tend to be of opposite sign in the equatorial east Pacific and equatorial Atlantic. The results of regional analysis are presented for the smoothed greenhouse factor, the greenhouse factor interannual anomaly, the greenhouse factor short-term variability, the cloud fraction interannual anomaly, and the precipitable water interannual anomaly. 7 refs., 5 figs.

  9. Quantitative analysis of raw materials mining of Sverdlovsk region in Russia

    NASA Astrophysics Data System (ADS)

    Tarasyev, Alexander M.; Vasilev, Julian; Turygina, Victoria F.

    2016-06-01

    The purpose of this article is to show the application of some qualitative methods for the analysis of a dataset for raw materials. The main approaches used are related to the correlation analysis and forecasting with trend lines. It is proved that the future mining of particular ores can be predicted on the basis of mathematical modeling. It is also shown that there exists a strong correlation between the mining of some specific raw materials. Some of the revealed correlations have meaningful explanations, and for others one should look for sophisticated interpretations. The applied approach can be used for forecasting of raw materials exploitation in various regions of Russia and in other countries.

  10. [Comparative analysis of mortality among population of industrial mono-cities in Sverdlovsky region].

    PubMed

    2011-01-01

    The article covers comparative analysis of mortality causes and levels, with special consideration of mortality with malignancies, among dwellers of Asbest (enterprise forming company town - Pulbic Corporation "Uralasbest" - world leader in extraction and concentration of chrysotile asbestos) and Kamensk-Uralsky (enterprises forming company town - non-ferrous metallurgy plants), agricultural agea and population of Sverdlovsk region over 10 years (1997-2006). Major attention was paid to influence of dust containing chrysotile asbestos fibers.

  11. Modeling and Analysis of Global and Regional Climate Change in Relation to Atmospheric Hydrologic Processes

    NASA Technical Reports Server (NTRS)

    Johnson, Donald R.

    2001-01-01

    This research was directed to the development and application of global isentropic modeling and analysis capabilities to describe hydrologic processes and energy exchange in the climate system, and discern regional climate change. An additional objective was to investigate the accuracy and theoretical limits of global climate predictability which are imposed by the inherent limitations of simulating trace constituent transport and the hydrologic processes of condensation, precipitation and cloud life cycles.

  12. [Comparative analysis of mortality among population of industrial mono-cities in Sverdlovsky region].

    PubMed

    2011-01-01

    The article covers comparative analysis of mortality causes and levels, with special consideration of mortality with malignancies, among dwellers of Asbest (enterprise forming company town - Pulbic Corporation "Uralasbest" - world leader in extraction and concentration of chrysotile asbestos) and Kamensk-Uralsky (enterprises forming company town - non-ferrous metallurgy plants), agricultural agea and population of Sverdlovsk region over 10 years (1997-2006). Major attention was paid to influence of dust containing chrysotile asbestos fibers. PMID:21786637

  13. Automatic backscatter analysis of regional left ventricular systolic function using color kinesis.

    PubMed

    Schwartz, S L; Cao, Q L; Vannan, M A; Pandian, N G

    1996-06-15

    Assessment of regional wall motion by 2-dimensional echocardiography can be performed by either semiquantitative wall motion scoring or by quantitative analysis. The former is subjective and requires expertise. Quantitative methods are too time-consuming for routine use in a busy clinical laboratory. Color kinesis is a new algorithm utilizing acoustic backscatter analysis. It provides a color encoded map of endocardial motion in real time. In each frame a new color layer is added; the thickness of the color beam represents endocardial motion during that frame. The end-systolic image has multiple color layers, representing regional and temporal heterogeneity of segmental motion. The purpose of this study was to validate the use of color kinesis for semiquantitative analysis of regional left ventricular systolic function and quantitatively in measurement of endocardial excursion. Semiquantitative wall motion scoring was performed in 18 patients using both 2-dimensional echo and color kinesis. Scoring was identical in 74% of segments; there was 84% agreement in definition of normal vs. abnormal. There was less interobserver variability in wall motion scoring using color kinesis. Endocardial excursion was quantified in 21 patients. 70% of the imaged segments were suitable for analysis. Correlation between 2-dimensional echocardiographic measurements and color kinesis was excellent, r = 0.87. The mean difference in excursion as measured by the 2 methods was -0.05 +/- 2.0 mm. In conclusion, color kinesis is a useful method for assessing regional contraction by displaying a color map of systolic endocardial excursion. This algorithm may improve the confidence and accuracy of assessment of segmental ventricular function by echocardiographic methods.

  14. Spatial analysis of future East Asian seasonal temperature using two regional climate model simulations

    NASA Astrophysics Data System (ADS)

    Kim, Yura; Jun, Mikyoung; Min, Seung-Ki; Suh, Myoung-Seok; Kang, Hyun-Suk

    2016-05-01

    CORDEX-East Asia, a branch of the coordinated regional climate downscaling experiment (CORDEX) initiative, provides high-resolution climate simulations for the domain covering East Asia. This study analyzes temperature data from regional climate models (RCMs) participating in the CORDEX - East Asia region, accounting for the spatial dependence structure of the data. In particular, we assess similarities and dissimilarities of the outputs from two RCMs, HadGEM3-RA and RegCM4, over the region and over time. A Bayesian functional analysis of variance (ANOVA) approach is used to simultaneously model the temperature patterns from the two RCMs for the current and future climate. We exploit nonstationary spatial models to handle the spatial dependence structure of the temperature variable, which depends heavily on latitude and altitude. For a seasonal comparison, we examine changes in the winter temperature in addition to the summer temperature data. We find that the temperature increase projected by RegCM4 tends to be smaller than the projection of HadGEM3-RA for summers, and that the future warming projected by HadGEM3-RA tends to be weaker for winters. Also, the results show that there will be a warming of 1-3°C over the region in 45 years. More specifically, the warming pattern clearly depends on the latitude, with greater temperature increases in higher latitude areas, which implies that warming may be more severe in the northern part of the domain.

  15. Analysis of drought in the region of Abruzzo (Central Italy) by the Standardized Precipitation Index

    NASA Astrophysics Data System (ADS)

    Di Lena, B.; Vergni, L.; Antenucci, F.; Todisco, F.; Mannocchi, F.

    2014-01-01

    The paper presents a comprehensive analysis of drought phenomena in the Region of Abruzzo (Central Italy) using the Standardized Precipitation Index (SPI) computed at different time scales (3, 6, 12, 24 months). The study is based on monthly precipitation data collected from 1951 to 2009 at 69 climatic stations uniformly distributed over the region. According to the trend analysis, most stations are characterized by increments in both drought severity and variability, particularly at the longer time scales. A principal component analysis applied to SPI time series enabled to identify two main patterns: the first more correlated to the coastal areas, the second more correlated to the inland, mountainous areas. However, the spatial patterns become less defined as the time scale increases, making more uncertain the definition of homogenous areas to be used in drought management plans. In most cases, the identified drought patterns have similar negative overall tendencies, but different trend directions in some sub-periods. In particular, the first drought pattern is clearly characterized by a trend reversal (from decreasing to increasing) during the last decade. This temporal evolution, consistent with that observed by large-scale analyses in the corresponding (or near) grid points, was not detected for the second pattern, which is probably influenced by local topographic and/or orographic factors. The results confirm the complexity of drought phenomenon in a typical Mediterranean region and the necessity of high-resolution datasets to capture its temporal and spatial variability.

  16. Crustal and Uppermost Mantle Structure beneath the Western United States from USArray Regional Phase Analysis

    NASA Astrophysics Data System (ADS)

    Buehler, Janine Sylvia

    The aim of this dissertation is to improve our understanding of the crust and uppermost mantle structure in the western United States, profiting from the wealth of regional phase data recorded at USArray stations. USArray, a transportable seismic array of ˜400 seismometers, has greatly increased seismic data coverage across the United States in the past few years, and allows imaging of the lithosphere of the North American continent with better resolution and new methods. The regional phases are often challenging to analyze, especially in a tectonically-active region like the western United States, because of their sensitivities to the heterogeneities of the crust and uppermost mantle. However, knowledge of the seismic structure of the lithosphere is not only essential in order to accurately image the velocity structure at greater depths, but also for constraining geodynamic models that reconstruct the tectonic evolution of the continent, and hence the information that is carried by the regional phases is very valuable. The data set used in this study consists mostly of the regional seismic phases Pn and Sn, which propagate horizontally along the Moho in the mantle lid and constrain the seismic velocity structure at a confined depth. We applied traditional tomographic methods that profit from the improved ray coverage through USArray, but also employed array-based techniques that take advantage of the regular station spacing of the transportable array and don't depend on regularization. In addition, we used stacking methods to image the propagation efficiency of the Sn phase, which is often highly attenuated in tectonically active regions, on a regional scale. The results complement other seismic studies that average over greater depth intervals, such as surface- and body-wave tomographies and anisotropy analysis from shear-wave splitting, to provide information on temperature, composition, and tectonic processes at depth. Comparisons between Pn azimuthal

  17. Regional policy models for forest biodiversity analysis: lessons from coastal Oregon.

    PubMed

    Johnson, K Norman; Duncan, Sally; Spies, Thomas A

    2007-01-01

    The crisis in the early 1990s over conservation of biodiversity in the forests of the Pacific Northwest caused an upheaval in forest policies for public and private landowners. These events led to the development of the Coastal Landscape Assessment and Modeling Study (CLAMS) for the Coast Range Physiographic Province of Oregon, a province containing over two million hectares of forest with a complex mixture of public and private ownership. Over a decade, CLAMS scientists developed regional data bases and tools to enable assessments of the implications of current policies for biodiversity and have begun using these data and tools to test ideas for solving policy problems. We summarize here four main lessons from our work: (1) Regional ecosystem perspectives, while rewarding, are difficult to achieve. Helping policy makers and the public understand biodiversity policies for an entire province can assist in developing more reasoned policies. However, this result is difficult to achieve because needed scientific building blocks generally do not exist, few policy institutions address regional cross-ownership issues, people can find it difficult to take a regional view, and the appropriate region for analysis changes with the policy problem. (2) Interest in environmental policy analysis may come as much from a pursuit of power as a pursuit of understanding. Biodiversity policy analyses are often viewed as weapons in an ongoing political battle. Also, results that might destabilize existing policies generally will not be well received by those in power. (3) The relationship of regional analyses to civic processes remains challenging and unsettled. Communication between citizens and scientists takes real effort. Also, collaborative processes both inspire and constrain regional policy analysis, and scientific work often proceeds at a different pace than these processes. In the end, CLAMS's most important effect on the civic dialogue may be to change how people think about

  18. Introduction to an Updated Analysis of Planetary Protection: "Special Regions" on Mars

    NASA Astrophysics Data System (ADS)

    Beaty, D. W.; Rummel, J. D.; Viola, D.

    2014-03-01

    Since the beginning of human activity in space science and exploration, there has been an appreciation of the negative consequences of transferring life from one planet to another. Given the unknown consequences of contact between two life forms and the fundamental value of studying a new form life, thoughtfulness and caution are warranted. The "special regions" concept is a component of the International Council for Science's Committee on Space Research (COSPAR) Planetary Protection Policy, as it applies to Mars. These are regions "within which terrestrial organisms are likely to replicate" as well as "any region which is interpreted to have a high potential for the existence of extant martian life." Robotic missions planning to have direct contact with such special regions are given planetary protection categorization (IVc), with stringent cleanliness constraints on the portions of the mission contacting such regions. The current, quantitative definition of "special regions based on temperature and water activity limits was adopted by COSPAR in 2008 after a two-year process that included meetings of the Mars Exploration Planning and Analysis Group's (MEPAG) Special Regions Science Analysis Group (SR-SAG) and COSPAR's Panel on Planetary Protection. In this study, the MEPAG SR-SAG2 will review and update the technical information that underlie NASA's and COSPAR's definition of special regions on Mars, enabling interpretations of when and where they could occur in light of new discoveries since 2007. This will include updates of current understanding in (1) the known physical limits to life on Earth, including low temperature and low water activity, the biological capture/use of vapor-phase water, and survival over long time scales with short periods of growth; (2) observational data sets and new models from Mars that could be relevant to our understanding of the natural variations on Mars of water activity and temperature, including recurring slope lineae (RSL

  19. Localization of TFIIB binding regions using serial analysis of chromatin occupancy

    PubMed Central

    Yochum, Gregory S; Rajaraman, Veena; Cleland, Ryan; McWeeney, Shannon

    2007-01-01

    Background: RNA Polymerase II (RNAP II) is recruited to core promoters by the pre-initiation complex (PIC) of general transcription factors. Within the PIC, transcription factor for RNA polymerase IIB (TFIIB) determines the start site of transcription. TFIIB binding has not been localized, genome-wide, in metazoans. Serial analysis of chromatin occupancy (SACO) is an unbiased methodology used to empirically identify transcription factor binding regions. In this report, we use TFIIB and SACO to localize TFIIB binding regions across the rat genome. Results: A sample of the TFIIB SACO library was sequenced and 12,968 TFIIB genomic signature tags (GSTs) were assigned to the rat genome. GSTs are 20–22 base pair fragments that are derived from TFIIB bound chromatin. TFIIB localized to both non-protein coding and protein-coding loci. For 21% of the 1783 protein-coding genes in this sample of the SACO library, TFIIB binding mapped near the characterized 5' promoter that is upstream of the transcription start site (TSS). However, internal TFIIB binding positions were identified in 57% of the 1783 protein-coding genes. Internal positions are defined as those within an inclusive region greater than 2.5 kb downstream from the 5' TSS and 2.5 kb upstream from the transcription stop. We demonstrate that both TFIIB and TFIID (an additional component of PICs) bound to internal regions using chromatin immunoprecipitation (ChIP). The 5' cap of transcripts associated with internal TFIIB binding positions were identified using a cap-trapping assay. The 5' TSSs for internal transcripts were confirmed by primer extension. Additionally, an analysis of the functional annotation of mouse 3 (FANTOM3) databases indicates that internally initiated transcripts identified by TFIIB SACO in rat are conserved in mouse. Conclusion: Our findings that TFIIB binding is not restricted to the 5' upstream region indicates that the propensity for PIC to contribute to transcript diversity is far greater

  20. Prevalence of Hepatitis D in the Eastern Mediterranean Region: Systematic Review and Meta Analysis

    PubMed Central

    Amini, Neda; Alavian, Seyed Moayed; Kabir, Ali; Aalaei-Andabili, Seyed Hossein; Saiedi Hosseini, Seyed Yasser; Rizzetto, Mario

    2013-01-01

    Background Hepatitis D Virus (HDV) causes the most threatening form of chronic viral hepatitis. To date, there is no overall estimation of HDV prevalence in the Eastern Mediterranean Region Office of WHO (EMRO) countries. Objectives To provide a clear estimation of HDV prevalence in the aforementioned region. Patients and Methods In the current systematic review, databases such as PubMed, Embase, Web of sciences and Google scholar were searched Until December 2010. The summary estimate of HDV prevalence in the EMRO region was calculated as an average of the pooled infection prevalence of each country weighted by the ratio of the country’s HBV population to the study’s sample size in the survey data analysis. Results We included 62 eligible studies. The weighted mean of HDV prevalence in the EMRO region was 14.74% (95% CI: 14.73 – 14.77), 27.8% (95% CI: 27.78 – 27.82), 36.57% (95% CI: 36.55 – 36.59) and 16.44%. (95% CI: 16.42 – 16.46) in asymptomatic HBsAg positive carriers, chronic hepatitis patients, cirrhosis/ hepatocellular carcinoma, and high risk group, respectively. Among the asymptomatic HBsAg positive group, HDV prevalence was increased by years in older patients in Saudi Arabia but its prevalence was decreased in Iran. No specific pattern was seen according to chronological analysis during years among the EMRO countries. Conclusions HDV infection is endemic in the EMRO countries and it is more common among patients with severe forms of hepatitis. Due to the high HDV infection rates in the EMRO countries, we recommend blood screening for HDV infection in this region. PMID:23554822

  1. Analysis of mixtures using next generation sequencing of mitochondrial DNA hypervariable regions

    PubMed Central

    Kim, Hanna; Erlich, Henry A.; Calloway, Cassandra D.

    2015-01-01

    Aim To apply massively parallel and clonal sequencing (next generation sequencing or NGS) to the analysis of forensic mixed samples. Methods A duplex polymerase chain reaction (PCR) assay targeting the mitochondrial DNA (mtDNA) hypervariable regions I/II (HVI/HVII) was developed for NGS analysis on the Roche 454 GS Junior instrument. Eight sets of multiplex identifier-tagged 454 fusion primers were used in a combinatorial approach for amplification and deep sequencing of up to 64 samples in parallel. Results This assay was shown to be highly sensitive for sequencing limited DNA amounts ( ~ 100 mtDNA copies) and analyzing contrived and biological mixtures with low level variants ( ~ 1%) as well as “complex” mixtures (≥3 contributors). PCR artifact “hybrid” sequences generated by jumping PCR or template switching were observed at a low level (<2%) in the analysis of mixed samples but could be eliminated by reducing the PCR cycle number. Conclusion This study demonstrates the power of NGS technologies targeting the mtDNA HVI/HVII regions for analysis of challenging forensic samples, such as mixtures and specimens with limited DNA. PMID:26088845

  2. Some Techniques for the Objective Analysis of Humidity for Regional Scale Numerical Weather Prediction.

    NASA Astrophysics Data System (ADS)

    Rasmussen, Robert Gary

    Several topics relating to the objective analysis of humidity for regional scale numerical weather prediction are investigated. These include: (1) sampling the humidity field; (2) choosing an analysis scheme; (3) choosing an analysis variable; (4) using surface data to diagnose upper -air humidity (SFC-DIAG); (5) using cloud analysis data to diagnose surface and upper-air humidities (3DNEPH-DIAG); and (6) modeling the humidity lateral autocorrelation function. Regression equations for the diagnosed humidities and several correlation models are developed and validated. Four types of data are used in a preliminary demonstration: observations (radiosonde and surface), SFC-DIAG data, 3DNEPH-DIAG data, and forecast data from the Drexel/NCAR Limited-Area and Mesoscale Prediction System (LAMPS). The major conclusions are: (1) independent samples of relative humidity can be obtained by sampling at intervals of two days and 1750 km, on the average; (2) Gandin's optimum interpolation (OI) is preferable to Cressman's successive correction and Panofsky's surface fitting schemes; (3) relative humidity (RH) is a better analysis variable than dew-point depression; (4) RH*, the square root of (1-RH), is better than RH; (5) both surface and cloud analysis data can be used to diagnose the upper-air humidity; (6) pooling dense data prior to OI analysis can improve the quality of the analysis and reduce its computational burden; (7) iteratively pooling data is economical; (8) for the types of data considered, use of more than about eight data in an OI point analysis cannot be justified by expectations of further reducing the analysis error variance; and (9) the statistical model in OI is faulty in that an analyzed humidity can be biased too much toward the first guess.

  3. A meta-analysis of plant facilitation in coastal dune systems: responses, regions, and research gaps

    PubMed Central

    Lortie, Christopher J.; Zaitchik, Benjamin; Prado, Paulo Inácio

    2015-01-01

    Empirical studies in salt marshes, arid, and alpine systems support the hypothesis that facilitation between plants is an important ecological process in severe or ‘stressful’ environments. Coastal dunes are both abiotically stressful and frequently disturbed systems. Facilitation has been documented, but the evidence to date has not been synthesized. We did a systematic review with meta-analysis to highlight general research gaps in the study of plant interactions in coastal dunes and examine if regional and local factors influence the magnitude of facilitation in these systems. The 32 studies included in the systematic review were done in coastal dunes located in 13 countries around the world but the majority was in the temperate zone (63%). Most of the studies adopt only an observational approach to make inferences about facilitative interactions, whereas only 28% of the studies used both observational and experimental approaches. Among the factors we tested, only geographic region mediates the occurrence of facilitation more broadly in coastal dune systems. The presence of a neighbor positively influenced growth and survival in the tropics, whereas in temperate and subartic regions the effect was neutral for both response variables. We found no evidence that climatic and local factors, such as life-form and life stage of interacting plants, affect the magnitude of facilitation in coastal dunes. Overall, conclusions about plant facilitation in coastal dunes depend on the response variable measured and, more broadly, on the geographic region examined. However, the high variability and the limited number of studies, especially in tropical region, indicate we need to be cautious in the generalization of the conclusions. Anyway, coastal dunes provide an important means to explore topical issues in facilitation research including context dependency, local versus regional drivers of community structure, and the importance of gradients in shaping the outcome of net

  4. Statistical Analysis of the Impacts of Regional Transportation on the Air Quality in Beijing

    NASA Astrophysics Data System (ADS)

    Huang, Zhongwen; Zhang, Huiling; Tong, Lei; Xiao, Hang

    2016-04-01

    From October to December 2015, Beijing-Tianjin-Hebei (BTH) region had experienced several severe haze events. In order to assess the effects of the regional transportation on the air quality in Beijing, the air monitoring data (PM2.5, SO2, NO2 and CO) from that period published by Chinese National Environmental Monitoring Center (CNEMC) was collected and analyzed with various statistical models. The cities within BTH area were clustered into three groups according to the geographical conditions, while the air pollutant concentrations of cities within a group sharing similar variation trends. The Granger causality test results indicate that significant causal relationships exist between the air pollutant data of Beijing and its surrounding cities (Baoding, Chengde, Tianjin and Zhangjiakou) for the reference period. Then, linear regression models were constructed to capture the interdependency among the multiple time series. It shows that the observed air pollutant concentrations in Beijing were well consistent with the model-fitted results. More importantly, further analysis suggests that the air pollutants in Beijing were strongly affected by regional transportation, as the local sources only contributed 17.88%, 27.12%, 14.63% and 31.36% of PM2.5, SO2, NO2 and CO concentrations, respectively. And the major foreign source for Beijing was from Southwest (Baoding) direction, account for more than 42% of all these air pollutants. Thus, by combining various statistical models, it may not only be able to quickly predict the air qualities of any cities on a regional scale, but also to evaluate the local and regional source contributions for a particular city. Key words: regional transportation, air pollution, Granger causality test, statistical models

  5. Regional analysis of population trajectories from the North American Breeding Bird Survey

    USGS Publications Warehouse

    Sauer, J.R.; Link, W.A.; Helbig, Andreas J.; Flade, Martin

    1999-01-01

    The North American Breeding Bird Survey (BBS) was started in 1966, and provides information on population change and distribution for most of the birds in North America. The geographic extent of the survey, and the logistical compromises needed to survey such a large area, present many challenges for estimation from BBS data. In this paper, we describe the survey and discuss some of the limitations of the survey design and implementation. Analysis of the survey has evolved over time as new statistical methods and insights into the analysis of count data are developed. Survey results and analysis tools for the BBS are now available over intemet; we present new methods that use generalized linear models for estimation of population change and empirical Bayes procedures for regional summaries.

  6. MISR observations at dust source regions: 10-year analysis of aerosol properties and plume heights.

    NASA Astrophysics Data System (ADS)

    Kalashnikova, Olga; Sokolik, Irina; Garay, Michael; Wu, Dong

    Multiangle remote sensing, in particular from Terra/MISR, provides a unique, independent source of data for study dust emission and transport. MISR/Terra is an imaging instrument that uses combination of multi-spectral and multi-angle data to retrieve aerosol properties and aerosol plume heights. A number of validation studies have shown that MISR provides reliable optical depth values over the bright desert. We use the 10-year aerosol data record from the Multi-angle Imaging SpectroRadiometer (MISR) aboard the Terra satellite to investigate the inter-annual and seasonal variability of dust loadings and properties as retrieved by MISR at selected dust source regions. In particular, we examine the Taklamakan, East and Central Gobi regions in Asia, and Mauritania desert and Bodélé Basin regions in Africa. Within each ee selected region, the analysis was performed to examine the multi-annual mean and variability of the aerosol optical depth and particle properties, taking into account the effects of MISR sampling and cloud coverage. To avoid the gridding and averaging effects as much as possible we use the instantaneous Level 2 MISR data for the analysis. We use AERONET data and other independent measurements where available to supplement and constrain MISR product. In addition to the optical depth/property analysis, we report 10-year climatology of dust plume heights over Bodélé Basin as function of the distance from the source. We demonstrate that, ee while there are some effects of large-scale dynamics on dust loadings and heights, the various differences in anomaly time series (including month-to-month differences) reveal the role of meso-scale systems specific to the each source region. These source-specific differences provide valuable information for testing/validating the regional dust transport models. The results will be presented and interpreted in the context of atmospheric dynamics variability, including variability of meteorological regimes in dust

  7. Identification of Medically Important Yeast Species by Sequence Analysis of the Internal Transcribed Spacer Regions

    PubMed Central

    Leaw, Shiang Ning; Chang, Hsien Chang; Sun, Hsiao Fang; Barton, Richard; Bouchara, Jean-Philippe; Chang, Tsung Chain

    2006-01-01

    Infections caused by yeasts have increased in previous decades due primarily to the increasing population of immunocompromised patients. In addition, infections caused by less common species such as Pichia, Rhodotorula, Trichosporon, and Saccharomyces spp. have been widely reported. This study extensively evaluated the feasibility of sequence analysis of the rRNA gene internal transcribed spacer (ITS) regions for the identification of yeasts of clinical relevance. Both the ITS1 and ITS2 regions of 373 strains (86 species), including 299 reference strains and 74 clinical isolates, were amplified by PCR and sequenced. The sequences were compared to reference data available at the GenBank database by using BLAST (basic local alignment search tool) to determine if species identification was possible by ITS sequencing. Since the GenBank database currently lacks ITS sequence entries for some yeasts, the ITS sequences of type (or reference) strains of 15 species were submitted to GenBank to facilitate identification of these species. Strains producing discrepant identifications between the conventional methods and ITS sequence analysis were further analyzed by sequencing of the D1-D2 domain of the large-subunit rRNA gene for species clarification. The rates of correct identification by ITS1 and ITS2 sequence analysis were 96.8% (361/373) and 99.7% (372/373), respectively. Of the 373 strains tested, only 1 strain (Rhodotorula glutinis BCRC 20576) could not be identified by ITS2 sequence analysis. In conclusion, identification of medically important yeasts by ITS sequencing, especially using the ITS2 region, is reliable and can be used as an accurate alternative to conventional identification methods. PMID:16517841

  8. Cost analysis of impacts of climate change on regional air quality.

    PubMed

    Liao, Kuo-Jen; Tagaris, Efthimios; Russell, Armistead G; Amar, Praveen; He, Shan; Manomaiphiboon, Kasemsan; Woo, Jung-Hun

    2010-02-01

    Climate change has been predicted to adversely impact regional air quality with resulting health effects. Here a regional air quality model and a technology analysis tool are used to assess the additional emission reductions required and associated costs to offset impacts of climate change on air quality. Analysis is done for six regions and five major cities in the continental United States. Future climate is taken from a global climate model simulation for 2049-2051 using the Intergovernmental Panel on Climate Change (IPCC) A1B emission scenario, and emission inventories are the same as current ones to assess impacts of climate change alone on air quality and control expenses. On the basis of the IPCC A1B emission scenario and current control technologies, least-cost sets of emission reductions for simultaneously offsetting impacts of climate change on regionally averaged 4th highest daily maximum 8-hr average ozone and yearly averaged PM2.5 (particulate matter [PM] with an aerodynamic diameter less than 2.5 microm) for the six regions examined are predicted to range from $36 million (1999$) yr(-1) in the Southeast to $5.5 billion yr(-1) in the Northeast. However, control costs to offset climate-related pollutant increases in urban areas can be greater than the regional costs because of the locally exacerbated ozone levels. An annual cost of $4.1 billion is required for offsetting climate-induced air quality impairment in 2049-2051 in the five cities alone. Overall, an annual cost of $9.3 billion is estimated for offsetting climate change impacts on air quality for the six regions and five cities examined. Much of the additional expense is to reduce increased levels of ozone. Additional control costs for offsetting the impacts everywhere in the United States could be larger than the estimates in this study. This study shows that additional emission controls and associated costs for offsetting climate impacts could significantly increase currently estimated

  9. Sensitivity analysis of the tidal representation in Singapore Regional Waters in a data assimilation environment

    NASA Astrophysics Data System (ADS)

    Kurniawan, Alamsyah; Ooi, Seng Keat; Hummel, Stef; Gerritsen, Herman

    2011-08-01

    The Singapore Regional Waters (SRW) is one of the more complex tidal regions in the world. This complexity is caused by various factors including the interaction of the Indian and Pacific oceans with their mainly semi-diurnal and diurnal tide, respectively, complicated coastline geometry, small islands and sharply varying bottom topography. Tidal data analysis is hampered by the lack of reliable coastal stations with long-term water level records while numerical tidal modelling studies suffer from lack of accurate high-resolution bathymetry data and uncertainty in the prescription of the tidal open boundary forcing. The present study combines numerical modelling with available along-track satellite altimetry data and a limited set of reliable coastal stations. It proposes a structured approach to study the sensitivity of tidal propagation and interactions to parameters like the prescription of tidal forcing at the open ocean boundaries, local depth information and seabed roughness. To guide and facilitate this analysis, the open-source software environment OpenDA for sensitivity analysis and simultaneous parameter optimisation is used. In a user-controlled way, the vector difference error in tidal representation could so effectively be reduced by ~50%. The results confirm the benefit of using OpenDA in guiding the systematic exploration of the modelled tide and reducing the parameter uncertainties in different parts of the SRW region. OpenDA is also shown to reduce the repetitive nature of simultaneous parameter variation. Finally, the behaviour of the tide in the region and its sensitivities to changes in tidal boundary forcing and to local depth and friction variation in the narrow regions of the Malacca Strait is now much better understood. With most of the systematic errors reduced in the numerical model as a result of the sensitivity analysis, it is expected that the model can be applied to study tide-surge interaction and is much better suited for later

  10. Functional analysis and nucleotide sequence of the promoter region of the murine hck gene.

    PubMed Central

    Lock, P; Stanley, E; Holtzman, D A; Dunn, A R

    1990-01-01

    The structure and function of the promoter region and exon 1 of the murine hck gene have been characterized in detail. RNase protection analysis has established that hck transcripts initiate from heterogeneous start sites located within the hck gene. Fusion gene constructs containing hck 5'-flanking sequences and the bacterial Neor gene have been introduced into the hematopoietic cell lines FDC-P1 and WEHI-265 by using a self-inactivating retroviral vector. The transcriptional start sites of the fusion gene are essentially identical to those of the endogenous hck gene. Analysis of infected WEHI-265 cell lines treated with bacterial lipopolysaccharide (LPS) reveals a 3- to 5-fold elevation in the levels of endogenous hck mRNA and a 1.4- to 2.6-fold increase in the level of Neor fusion gene transcripts, indicating that hck 5'-flanking sequences are capable of conferring LPS responsiveness on the Neor gene. The 5'-flanking region of the hck gene contains sequences similar to an element which is thought to be involved in the LPS responsiveness of the class II major histocompatibility gene A alpha k. A subset of these sequences are also found in the 5'-flanking regions of other LPS-responsive genes. Moreover, this motif is related to the consensus binding sequence of NF-kappa B, a transcription factor which is known to be regulated by LPS. Images PMID:2388619

  11. Integrated Analysis of Climate, Soil, Topography and Vegetative Growth in Iberian Viticultural Regions

    NASA Astrophysics Data System (ADS)

    Fraga, Helder; Malheiro, Aureliano C.; Moutinho-Pereira, José; Cardoso, Rita M.; Soares, Pedro M. M.; Cancela, Javier J.; Pinto, Joaquim G.; Santos, João A.

    2015-04-01

    The Iberian viticultural regions are convened according to the Denomination of Origin (DO) and present different climates, soils, topography and management practices. All these elements influence the vegetative growth of different varieties throughout the peninsula, and are tied to grape quality and wine type. In the current study, an integrated analysis of climate, soil, topography and vegetative growth was performed for the Iberian DO regions, using state-of-the-art datasets. For climatic assessment, a categorized index, accounting for phenological/thermal development, water availability and grape ripening conditions was computed. Soil textural classes were established to distinguish soil types. Elevation and aspect (orientation) were also taken into account, as the leading topographic elements. A spectral vegetation index was used to assess grapevine vegetative growth and an integrated analysis of all variables was performed. The results showed that the integrated climate-soil-topography influence on vine performance is evident. Most Iberian vineyards are grown in temperate dry climates with loamy soils, presenting low vegetative growth. Vineyards in temperate humid conditions tend to show higher vegetative growth. Conversely, in cooler/warmer climates, lower vigour vineyards prevail and other factors, such as soil type and precipitation acquire more important roles in driving vigour. Vines in prevailing loamy soils are grown over a wide climatic diversity, suggesting that precipitation is the primary factor influencing vigour. The present assessment of terroir characteristics allows direct comparison among wine regions and may have great value to viticulturists, particularly under a changing climate.

  12. [Comparative analysis of variable regions in the genomes of variola virus].

    PubMed

    Babkin, I V; Nepomniashchikh, T S; Maksiutov, R A; Gutorov, V V; Babkina, I N; Shchelkunov, S N

    2008-01-01

    Nucleotide sequences of two extended segments of the terminal variable regions in variola virus genome were determined. The size of the left segment was 13.5 kbp and of the right, 10.5 kbp. Totally, over 540 kbp were sequenced for 22 variola virus strains. The conducted phylogenetic analysis and the data published earlier allowed us to find the interrelations between 70 variola virus isolates, the character of their clustering, and the degree of intergroup and intragroup variations of the clusters of variola virus strains. The most polymorphic loci of the genome segments studied were determined. It was demonstrated that that these loci are localized to either noncoding genome regions or to the regions of destroyed open reading frames, characteristic of the ancestor virus. These loci are promising for development of the strategy for genotyping variola virus strains. Analysis of recombination using various methods demonstrated that, with the only exception, no statistically significant recombinational events in the genomes of variola virus strains studied were detectable.

  13. Integrated analysis of climate, soil, topography and vegetative growth in Iberian viticultural regions.

    PubMed

    Fraga, Helder; Malheiro, Aureliano C; Moutinho-Pereira, José; Cardoso, Rita M; Soares, Pedro M M; Cancela, Javier J; Pinto, Joaquim G; Santos, João A

    2014-01-01

    The Iberian viticultural regions are convened according to the Denomination of Origin (DO) and present different climates, soils, topography and management practices. All these elements influence the vegetative growth of different varieties throughout the peninsula, and are tied to grape quality and wine type. In the current study, an integrated analysis of climate, soil, topography and vegetative growth was performed for the Iberian DO regions, using state-of-the-art datasets. For climatic assessment, a categorized index, accounting for phenological/thermal development, water availability and grape ripening conditions was computed. Soil textural classes were established to distinguish soil types. Elevation and aspect (orientation) were also taken into account, as the leading topographic elements. A spectral vegetation index was used to assess grapevine vegetative growth and an integrated analysis of all variables was performed. The results showed that the integrated climate-soil-topography influence on vine performance is evident. Most Iberian vineyards are grown in temperate dry climates with loamy soils, presenting low vegetative growth. Vineyards in temperate humid conditions tend to show higher vegetative growth. Conversely, in cooler/warmer climates, lower vigour vineyards prevail and other factors, such as soil type and precipitation acquire more important roles in driving vigour. Vines in prevailing loamy soils are grown over a wide climatic diversity, suggesting that precipitation is the primary factor influencing vigour. The present assessment of terroir characteristics allows direct comparison among wine regions and may have great value to viticulturists, particularly under a changing climate.

  14. Analysis of meteorological variables in the Australasian region using ground- and space-based GPS techniques

    NASA Astrophysics Data System (ADS)

    Kuleshov, Yuriy; Choy, Suelynn; Fu, Erjiang Frank; Chane-Ming, Fabrice; Liou, Yuei-An; Pavelyev, Alexander G.

    2016-07-01

    Results of analysis of meteorological variables (temperature and moisture) in the Australasian region using the global positioning system (GPS) radio occultation (RO) and GPS ground-based observations verified with in situ radiosonde (RS) data are presented. The potential of using ground-based GPS observations for retrieving column integrated precipitable water vapour (PWV) over the Australian continent has been demonstrated using the Australian ground-based GPS reference stations network. Using data from the 15 ground-based GPS stations, the state of the atmosphere over Victoria during a significant weather event, the March 2010 Melbourne storm, has been investigated, and it has been shown that the GPS observations has potential for monitoring the movement of a weather front that has sharp moisture contrast. Temperature and moisture variability in the atmosphere over various climatic regions (the Indian and the Pacific Oceans, the Antarctic and Australia) has been examined using satellite-based GPS RO and in situ RS observations. Investigating recent atmospheric temperature trends over Antarctica, the time series of the collocated GPS RO and RS data were examined, and strong cooling in the lower stratosphere and warming through the troposphere over Antarctica has been identified, in agreement with outputs of climate models. With further expansion of the Global Navigation Satellite Systems (GNSS) system, it is expected that GNSS satellite- and ground-based measurements would be able to provide an order of magnitude larger amount of data which in turn could significantly advance weather forecasting services, climate monitoring and analysis in the Australasian region.

  15. Integrated Analysis of Climate, Soil, Topography and Vegetative Growth in Iberian Viticultural Regions

    PubMed Central

    Fraga, Helder; Malheiro, Aureliano C.; Moutinho-Pereira, José; Cardoso, Rita M.; Soares, Pedro M. M.; Cancela, Javier J.; Pinto, Joaquim G.; Santos, João A.

    2014-01-01

    The Iberian viticultural regions are convened according to the Denomination of Origin (DO) and present different climates, soils, topography and management practices. All these elements influence the vegetative growth of different varieties throughout the peninsula, and are tied to grape quality and wine type. In the current study, an integrated analysis of climate, soil, topography and vegetative growth was performed for the Iberian DO regions, using state-of-the-art datasets. For climatic assessment, a categorized index, accounting for phenological/thermal development, water availability and grape ripening conditions was computed. Soil textural classes were established to distinguish soil types. Elevation and aspect (orientation) were also taken into account, as the leading topographic elements. A spectral vegetation index was used to assess grapevine vegetative growth and an integrated analysis of all variables was performed. The results showed that the integrated climate-soil-topography influence on vine performance is evident. Most Iberian vineyards are grown in temperate dry climates with loamy soils, presenting low vegetative growth. Vineyards in temperate humid conditions tend to show higher vegetative growth. Conversely, in cooler/warmer climates, lower vigour vineyards prevail and other factors, such as soil type and precipitation acquire more important roles in driving vigour. Vines in prevailing loamy soils are grown over a wide climatic diversity, suggesting that precipitation is the primary factor influencing vigour. The present assessment of terroir characteristics allows direct comparison among wine regions and may have great value to viticulturists, particularly under a changing climate. PMID:25251495

  16. Integrated analysis of climate, soil, topography and vegetative growth in Iberian viticultural regions.

    PubMed

    Fraga, Helder; Malheiro, Aureliano C; Moutinho-Pereira, José; Cardoso, Rita M; Soares, Pedro M M; Cancela, Javier J; Pinto, Joaquim G; Santos, João A

    2014-01-01

    The Iberian viticultural regions are convened according to the Denomination of Origin (DO) and present different climates, soils, topography and management practices. All these elements influence the vegetative growth of different varieties throughout the peninsula, and are tied to grape quality and wine type. In the current study, an integrated analysis of climate, soil, topography and vegetative growth was performed for the Iberian DO regions, using state-of-the-art datasets. For climatic assessment, a categorized index, accounting for phenological/thermal development, water availability and grape ripening conditions was computed. Soil textural classes were established to distinguish soil types. Elevation and aspect (orientation) were also taken into account, as the leading topographic elements. A spectral vegetation index was used to assess grapevine vegetative growth and an integrated analysis of all variables was performed. The results showed that the integrated climate-soil-topography influence on vine performance is evident. Most Iberian vineyards are grown in temperate dry climates with loamy soils, presenting low vegetative growth. Vineyards in temperate humid conditions tend to show higher vegetative growth. Conversely, in cooler/warmer climates, lower vigour vineyards prevail and other factors, such as soil type and precipitation acquire more important roles in driving vigour. Vines in prevailing loamy soils are grown over a wide climatic diversity, suggesting that precipitation is the primary factor influencing vigour. The present assessment of terroir characteristics allows direct comparison among wine regions and may have great value to viticulturists, particularly under a changing climate. PMID:25251495

  17. Spatial analysis of relative humidity during ungauged periods in a mountainous region

    NASA Astrophysics Data System (ADS)

    Um, Myoung-Jin; Kim, Yeonjoo

    2016-06-01

    Although atmospheric humidity influences environmental and agricultural conditions, thereby influencing plant growth, human health, and air pollution, efforts to develop spatial maps of atmospheric humidity using statistical approaches have thus far been limited. This study therefore aims to develop statistical approaches for inferring the spatial distribution of relative humidity (RH) for a mountainous island, for which data are not uniformly available across the region. A multiple regression analysis based on various mathematical models was used to identify the optimal model for estimating monthly RH by incorporating not only temperature but also location and elevation. Based on the regression analysis, we extended the monthly RH data from weather stations to cover the ungauged periods when no RH observations were available. Then, two different types of station-based data, the observational data and the data extended via the regression model, were used to form grid-based data with a resolution of 100 m. The grid-based data that used the extended station-based data captured the increasing RH trend along an elevation gradient. Furthermore, annual RH values averaged over the regions were examined. Decreasing temporal trends were found in most cases, with magnitudes varying based on the season and region.

  18. Bioimpedance Harmonic Analysis as a Diagnostic Tool to Assess Regional Circulation and Neural Activity

    NASA Astrophysics Data System (ADS)

    Mudraya, I. S.; Revenko, S. V.; Khodyreva, L. A.; Markosyan, T. G.; Dudareva, A. A.; Ibragimov, A. R.; Romich, V. V.; Kirpatovsky, V. I.

    2013-04-01

    The novel technique based on harmonic analysis of bioimpedance microvariations with original hard- and software complex incorporating a high-resolution impedance converter was used to assess the neural activity and circulation in human urinary bladder and penis in patients with pelvic pain, erectile dysfunction, and overactive bladder. The therapeutic effects of shock wave therapy and Botulinum toxin detrusor injections were evaluated quantitatively according to the spectral peaks at low 0.1 Hz frequency (M for Mayer wave), respiratory (R) and cardiac (C) rhythms with their harmonics. Enhanced baseline regional neural activity identified according to M and R peaks was found to be presumably sympathetic in pelvic pain patients, and parasympathetic - in patients with overactive bladder. Total pulsatile activity and pulsatile resonances found in the bladder as well as in the penile spectrum characterised regional circulation and vascular tone. The abnormal spectral parameters characteristic of the patients with genitourinary diseases shifted to the norm in the cases of efficient therapy. Bioimpedance harmonic analysis seems to be a potent tool to assess regional peculiarities of circulatory and autonomic nervous activity in the course of patient treatment.

  19. Quantitative analysis of regions of adenovirus E1A products involved in interactions with cellular proteins.

    PubMed

    Barbeau, D; Marcellus, R C; Bacchetti, S; Bayley, S T; Branton, P E

    1992-01-01

    Human adenovirus E1A proteins and oncogene products of several other DNA tumour viruses derive much of their oncogenic potential from interactions with cellular polypeptides. E1A proteins form complexes with p105Rb and a related p107 polypeptide, and with at least three other proteins (p60cycA, p130, and p300); all may be required for cell transformation. Using a series of E1A deletion mutants, we have carried out a quantitative analysis of the binding patterns of cellular proteins to E1A products. Binding of most of the proteins was affected at least partially by mutations within the amino terminal 25 residues, amino acids 36-69 within conserved region 1 (CR1), and residues 121-138 in conserved region 2 (CR2). However, the specific binding characteristics of each protein varied considerably. p300 was the only species for which binding was totally eliminated by deletions at the amino terminus. Removal of regions within CR1 eliminated binding of all species except p107 and p60cycA. Deletion of portions of CR2 reduced or eliminated binding of all proteins except p300. Thus, whereas cellular polypeptides generally were found to interact with the same three regions of E1A proteins, specific interactions varied considerably. PMID:1297336

  20. Evolution and comparative analysis of the bat MHC-I region

    PubMed Central

    Ng, Justin H. J.; Tachedjian, Mary; Deakin, Janine; Wynne, James W.; Cui, Jie; Haring, Volker; Broz, Ivano; Chen, Honglei; Belov, Katherine; Wang, Lin-Fa; Baker, Michelle L.

    2016-01-01

    Bats are natural hosts to numerous viruses and have ancient origins, having diverged from other eutherian mammals early in evolution. These characteristics place them in an important position to provide insights into the evolution of the mammalian immune system and antiviral immunity. We describe the first detailed partial map of a bat (Pteropus alecto) MHC-I region with comparative analysis of the MHC-I region and genes. The bat MHC-I region is highly condensed, yet relatively conserved in organisation, and is unusual in that MHC-I genes are present within only one of the three highly conserved class I duplication blocks. We hypothesise that MHC-I genes first originated in the β duplication block, and subsequently duplicated in a step-wise manner across the MHC-I region during mammalian evolution. Furthermore, bat MHC-I genes contain unique insertions within their peptide-binding grooves potentially affecting the peptide repertoire presented to T cells, which may have implications for the ability of bats to control infection without overt disease. PMID:26876644

  1. Re-analysis of the Radio Luminosity Function of Galactic H II Regions

    NASA Astrophysics Data System (ADS)

    Paladini, R.; De Zotti, G.; Noriega-Crespo, A.; Carey, S. J.

    2009-09-01

    We have re-analyzed continuum and recombination lines radio data available in the literature in order to derive the luminosity function (LF) of Galactic H II regions. The study is performed by considering the first and fourth Galactic quadrants independently. We estimate the completeness level of the sample in the fourth quadrant at 5 Jy, and the one in the first quadrant at 2 Jy. We show that the two samples (fourth or first quadrant) include, as well as giant and supergiant H II regions, a significant number of subgiant sources. The LF is obtained, in each Galactic quadrant, with a generalized Schmidt's estimator using an effective volume derived from the observed spatial distribution of the considered H II regions. The re-analysis also takes advantage of recently published ancillary absorption data allowing to solve the distance ambiguity for several objects. A single power-law fit to the LFs retrieves a slope equal to -2.23 ± 0.07 (fourth quadrant) and to -1.85 ± 0.11 (first quadrant). We also find marginal evidence of a luminosity break at L knee = 1023.45 erg s-1 Hz-1 for the LF in the fourth quadrant. We convert radio luminosities into equivalent Hα and Lyman continuum luminosities to facilitate comparisons with extragalactic studies. We obtain an average total H II regions Lyman continuum luminosity of 0.89 ± 0.23 × 1053 s-1, corresponding to 30% of the total ionizing luminosity of the Galaxy.

  2. Analysis and simulation of recent climate variability in the high-mountain regions of East Africa

    NASA Astrophysics Data System (ADS)

    Collier, Emily; Mölg, Thomas

    2016-04-01

    Kilimanjaro is the highest free-standing mountain in the world, and the glaciers at its summit represent regionally unique high-altitude sampling points in the troposphere. The region is influenced by, among other phenomena, the El Niño Southern Oscillation (ENSO), the Indian Ocean Zonal Mode, and the Quasi-Biennial Oscillation. However, the impacts of these phenomena as well as interactions between them on climate conditions in the high-mountain regions of East Africa are poorly constrained. Here we analyze recent high-altitude climate variability in East Africa using a combination of atmospheric reanalysis data, convection permitting (~1 km grid spacing) numerical simulations with the regional atmospheric model WRF, and multi-year in-situ weather station data at the summits of Mount Kenya and Kilimanjaro. We utilize these datasets to elucidate the impact of modes of internal climate variability, with a particular emphasis on ENSO, on both the large- and local-scale atmospheric conditions. Our analysis is compared with a ten-year record of glacier surface-height-change measurements on Kilimanjaro to elucidate the drivers of recent glacier response in East Africa.

  3. Emergy-based analysis of Beijing-Tianjin-Tangshan region in China

    NASA Astrophysics Data System (ADS)

    Cai, Z. F.; Zhang, L. X.; Zhang, B.; Chen, Z. M.

    2009-12-01

    An emergy-based analysis was conducted for the Beijing-Tianjin-Tangshan urban agglomeration district from perspectives of emergy density, resource structure, environmental pressure and resource use efficiency during the period of 1991-2005. The results showed that Beijing, Tianjin and Tangshan as contiguous regions shared similar characters and evolving trends in certain aspects as emergy intensity and proportion of local renewable resources on the whole. As for the local resources availability, process efficiency and environmental pressure, however, these three cities have significant differences. With comparison of the other cities in China, it is shown that Beijing-Tianjin-Tangshan region has higher environment loading and lower sustainability level though enjoying rapid urbanization process and economic development. This study also suggests that the first priority on economic development competition within urban agglomeration regions may lead to the wasting of resources and redundant construction, while cooperative and rational selection for development pattern are the proper choice for coordinate regional development and long term sustainability to overcome resource restrictions.

  4. Multi-Satellite Synergy for Aerosol Analysis in the Asian Monsoon Region

    NASA Technical Reports Server (NTRS)

    Ichoku, Charles; Petrenko, Maksym

    2012-01-01

    Atmospheric aerosols represent one of the greatest uncertainties in environmental and climate research, particularly in tropical monsoon regions such as the Southeast Asian regions, where significant contributions from a variety of aerosol sources and types is complicated by unstable atmospheric dynamics. Although aerosols are now routinely retrieved from multiple satellite Sensors, in trying to answer important science questions about aerosol distribution, properties, and impacts, researchers often rely on retrievals from only one or two sensors, thereby running the risk of incurring biases due to sensor/algorithm peculiarities. We are conducting detailed studies of aerosol retrieval uncertainties from various satellite sensors (including Terra-/ Aqua-MODIS, Terra-MISR, Aura-OMI, Parasol-POLDER, SeaWiFS, and Calipso-CALIOP), based on the collocation of these data products over AERONET and other important ground stations, within the online Multi-sensor Aerosol Products Sampling System (MAPSS) framework that was developed recently. Such analyses are aimed at developing a synthesis of results that can be utilized in building reliable unified aerosol information and climate data records from multiple satellite measurements. In this presentation, we will show preliminary results of. an integrated comparative uncertainly analysis of aerosol products from multiple satellite sensors, particularly focused on the Asian Monsoon region, along with some comparisons from the African Monsoon region.

  5. Using simulation and data envelopment analysis to evaluate Iraqi regions in producing strategic crops

    NASA Astrophysics Data System (ADS)

    Chaloob, Ibrahim Z.; Ramli, Razamin; Nawawi, Mohd Kamal Mohd

    2014-12-01

    Productivity of the agriculture sector in Iraq has yet to reach an acceptable level. In this paper, we introduce a practical method to help manage Iraqi agriculture sector to control resources and increase production to meet the modern century requirements of good crops. These important resources are identified as water, fertilizer, natural fertilizer, pesticides and labour. The current agricultural patterns in Iraq affect the strategic crops cultivation in the country and lessen agricultural production to some life-threatening limits. Data Envelopment Analysis (DEA), which is a non-parametric tool, is proposed to identify solutions that can maximize farmers' net benefit making an optimal use of the five resources. This model also improves optimal mix of the resources. In reference to the production of each one of the three strategic crops in Iraq, the DEA model is used to find the efficiency of one region among four others in its agriculture sector, with the main problem being the constraint in the number of lands available in the situation. Hence, the simulation technique is used to generate additional regions to the four main regions adopted. This is to resolve the constriction of DEA when the decision making unit is less than the number of variables (outputs and inputs). The result is expected to show the efficiency of each of the evaluated region.

  6. Evolution and comparative analysis of the bat MHC-I region.

    PubMed

    Ng, Justin H J; Tachedjian, Mary; Deakin, Janine; Wynne, James W; Cui, Jie; Haring, Volker; Broz, Ivano; Chen, Honglei; Belov, Katherine; Wang, Lin-Fa; Baker, Michelle L

    2016-01-01

    Bats are natural hosts to numerous viruses and have ancient origins, having diverged from other eutherian mammals early in evolution. These characteristics place them in an important position to provide insights into the evolution of the mammalian immune system and antiviral immunity. We describe the first detailed partial map of a bat (Pteropus alecto) MHC-I region with comparative analysis of the MHC-I region and genes. The bat MHC-I region is highly condensed, yet relatively conserved in organisation, and is unusual in that MHC-I genes are present within only one of the three highly conserved class I duplication blocks. We hypothesise that MHC-I genes first originated in the β duplication block, and subsequently duplicated in a step-wise manner across the MHC-I region during mammalian evolution. Furthermore, bat MHC-I genes contain unique insertions within their peptide-binding grooves potentially affecting the peptide repertoire presented to T cells, which may have implications for the ability of bats to control infection without overt disease. PMID:26876644

  7. An Exploratory Analysis of Regional Assessment Data in Support of Nutrient Criteria Development for EPA Region 5, 7 and 8

    EPA Science Inventory

    The information in this report was requested by EPA Region 5. Their stated purpose for this information was to use it as "lines of evidence" in discussions with R5 states regarding the establishment of nutrient criteria. The information may also be useful to other states as 1) a...

  8. Influence of regional pollution and long range transport over western India: Analysis of ozonesonde data

    NASA Astrophysics Data System (ADS)

    Srivastava, Shuchita; Lal, S.; Naja, M.; Venkataramani, S.; Gupta, S.

    2012-02-01

    Four years (April 2003 - July 2007) of ozonesonde observations over Ahmedabad have been studied for the first time using ten days backward trajectories in the boundary layer (lower 2 km) and lower troposphere (2.5-4 km). Ozone data are classified according to the residence times of air-masses over the North-Western India (NWI), marine and Northern Africa/Southern Europe (NASE) regions. Ozone increases linearly with increasing residence days over the NWI region for about six days with maximum increase rate (boundary layer ˜4.5 ± 1.1 ppbv/day, lower troposphere ˜3.4 ± 0.8 ppbv/day) during spring and minimum during winter (boundary layer ˜0.7 ± 0.8 ppbv/day, lower troposphere ˜0.8 ± 0.7 ppbv/day). The analysis of surface ozone over Ahmedabad confirms that ozone increase with residence days is largely due to photochemical build up. The estimated background ozone corresponding to zeroth residence day is found to be significantly lower during summer-monsoon (˜26.3 ± 3.3 ppbv) than winter (˜47.7 ± 3.2 ppbv) within the boundary layer. The air masses mainly influenced by NWI region, marine and NASE regions are termed as regionally polluted, marine and long range transport (LRT) respectively. The regionally polluted ozone is found to be higher than the average ozone during spring and summer-monsoon by 22-41% within the boundary layer and by 9-12% in the lower troposphere. The marine air shows lower ozone by 38% and 10% during spring and summer seasons respectively in the boundary layer. LRT plays a significant role in the lower troposphere during spring and summer seasons with an ozone enhancement of 9% and 27% respectively. The present work suggests that regional pollution and long range transport have significant influence on the seasonal distribution of ozone in the lower troposphere whereas the background ozone levels in summer-monsoon are mainly influenced by marine air mass over this region.

  9. Inductive analysis about the impact of climate warming on regional geomorphic evolution in arid area

    NASA Astrophysics Data System (ADS)

    Anayit, Mattohti; Abulizi, Mailiya

    2016-04-01

    Climate change on the surface of earth will produce a chain reaction among so many global natural environmental elements. Namely, all the issues will be affected by the climate change, just like the regional water environment, formation and development of landscape, plants and animals living environment, the survival of microorganisms, the human economic environment and health, and the whole social environment changes at well. But because of slow frequency of climate change and it is volatility change, its influence on other factors and the overall environmental performance is not obvious, and its reflection performs slowly. Using regional weather data, we calculated qualitatively and quantitatively and did analysis the impact of climate warming on Xinjiang (a province of China) geomorphic evolution elements, including the ground weather, erosion rate, collapse change, landslide occurrences changes and impact debris flow, combining the field survey and indoor test methods. Key words: climate change; the geomorphic induction; landscape change in river basin; Xinjiang

  10. Genomewide identification of nuclear matrix attachment regions: an analysis of methods.

    PubMed

    Linnemann, A K; Platts, A E; Doggett, N; Gluch, A; Bode, J; Krawetz, S A

    2007-06-01

    High-throughput technologies now afford the opportunity to directly determine the distribution of MARs (matrix attachment regions) throughout a genome. The utility of cosmid and oligonucleotide platforms to identify human chromosome 16 MARs from preparations that employed LIS (lithium di-iodosalicylic acid) and NaCl extraction protocols was examined. The effectiveness of the platforms was then evaluated by Q-PCR (quantitative real-time PCR). Analysis revealed that caution must be exercised, since the representation of non-coding regions varies among platforms. Nevertheless, several interesting trends were revealed. We expect that these technologies will prove useful in systems approaches directed towards defining the role of MARs in various cell types and cellular processes.

  11. Physical analysis of the COR region: a cluster of six genes in Saccharomyces cerevisiae

    SciTech Connect

    Barry, K.; Stiles, J.I.; Pietras, D.F.; Melnick, L.; Sherman, F.

    1987-02-01

    Six genes, CYC1, UTR1, UTR3, OSM1, tRNAGly, and RAD7, have been localized within an 8-kilobase region on chromosome X of the yeast Saccharomyces cerevisiae. The physical structures and the transcripts of these genes were identified by analyzing a normal strain and six deletion mutants by genomic blotting, transcriptional analysis, and gene disruption procedures. The well-studied CYC1 gene encodes iso-1-cytochrome c; the tRNAGly gene encodes a tRNA; deletion of OSM1 and RAD7 causes sensitivity to hypertonic medium and UV irradiation, respectively. There were no observable phenotypes in strains having deletions of the UTR1, UTR3, and tRNAGly gene. The high density of transcripts, with little or almost no intragenic regions, indicates that the chromosomal organization of S. cerevisiae resembles the chromosomal organization of procaryotes rather than higher eucaryotes.

  12. An analysis of reported cases of leishmaniasis in the southern Ecuadorian Amazon region, 1986-2012.

    PubMed

    Olalla, Hector R; Velez, Lenin N; Kato, Hirotomo; Hashiguchi, Kazue; Caceres, Abraham G; Gomez, Eduardo A; Zambrano, Flavio C; Romero-Álvarez, Daniel A; Guevara, Angel G; Hashiguchi, Yoshihisa

    2015-06-01

    An analysis of reported cases of cutaneous leishmaniasis (CL) was performed using the data registered in the southern Ecuadorian Amazon region during 27 years from 1986 to 2012. The cases/subjects with both the suspected CL lesions and the amastigote-positive results were recruited for the analysis. The yearly occurrence of cases showed a markedly higher number during the six years, 1988 and 1993. After 1994 when the insecticide spraying campaign using helicopter in 1993-1994, the number dropped remarkably. Then, the yearly occurrence gradually fluctuated from 101 cases in 1996 to 11 in 2009, maintaining a low number of cases after the campaign. The monthly occurrence of cases showed a markedly high number during March and August, suggesting a correlation to the rainy season (months) in the areas. A statistical significance was found between the monthly average number of the CL case and the average precipitation (p=0.01474). It was suggested that the time of transmission of CL would depend on the rainy seasons at each endemic area of Ecuador, which has a diverse climatic feature depending on the geographic regions. Such information at given leishmaniasis-endemic areas of Ecuador would be important for the future planning of the disease control. Molecular analysis and characterization of clinical samples revealed the presence of Leishmania (Viannia) braziliensis. PMID:25796313

  13. A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan

    PubMed Central

    Iizuka, Atsushi; Shirato, Shintaro; Mizukoshi, Atsushi; Noguchi, Miyuki; Yamasaki, Akihiro; Yanagisawa, Yukio

    2014-01-01

    This study demonstrates an application of cluster analysis to constant ambient air monitoring data of four pollutants in the Kanto region: NOx, photochemical oxidant (Ox), suspended particulate matter, and non-methane hydrocarbons. Constant ambient air monitoring can provide important information about the surrounding atmospheric pollution. However, at the same time, ambient air monitoring can place a significant financial burden on some autonomous communities. Thus, it has been necessary to reduce both the number of monitoring stations and the number of chemicals monitored. To achieve this, it is necessary to identify those monitoring stations and pollutants that are least significant, while minimizing the loss of data quality and mitigating the effects on the determination of any spatial and temporal trends of the pollutants. Through employing cluster analysis, it was established that the ambient monitoring stations in the Kanto region could be clustered topologically for NOx and Ox into eight groups. From the results of this analysis, it was possible to identify the similarities in site characteristics and pollutant behaviors. PMID:24995597

  14. An analysis of reported cases of leishmaniasis in the southern Ecuadorian Amazon region, 1986-2012.

    PubMed

    Olalla, Hector R; Velez, Lenin N; Kato, Hirotomo; Hashiguchi, Kazue; Caceres, Abraham G; Gomez, Eduardo A; Zambrano, Flavio C; Romero-Álvarez, Daniel A; Guevara, Angel G; Hashiguchi, Yoshihisa

    2015-06-01

    An analysis of reported cases of cutaneous leishmaniasis (CL) was performed using the data registered in the southern Ecuadorian Amazon region during 27 years from 1986 to 2012. The cases/subjects with both the suspected CL lesions and the amastigote-positive results were recruited for the analysis. The yearly occurrence of cases showed a markedly higher number during the six years, 1988 and 1993. After 1994 when the insecticide spraying campaign using helicopter in 1993-1994, the number dropped remarkably. Then, the yearly occurrence gradually fluctuated from 101 cases in 1996 to 11 in 2009, maintaining a low number of cases after the campaign. The monthly occurrence of cases showed a markedly high number during March and August, suggesting a correlation to the rainy season (months) in the areas. A statistical significance was found between the monthly average number of the CL case and the average precipitation (p=0.01474). It was suggested that the time of transmission of CL would depend on the rainy seasons at each endemic area of Ecuador, which has a diverse climatic feature depending on the geographic regions. Such information at given leishmaniasis-endemic areas of Ecuador would be important for the future planning of the disease control. Molecular analysis and characterization of clinical samples revealed the presence of Leishmania (Viannia) braziliensis.

  15. Online Time Series Analysis of Land Products over Asia Monsoon Region via Giovanni

    NASA Technical Reports Server (NTRS)

    Shen, Suhung; Leptoukh, Gregory G.; Gerasimov, Irina

    2011-01-01

    Time series analysis is critical to the study of land cover/land use changes and climate. Time series studies at local-to-regional scales require higher spatial resolution, such as 1km or less, data. MODIS land products of 250m to 1km resolution enable such studies. However, such MODIS land data files are distributed in 10ox10o tiles, due to large data volumes. Conducting a time series study requires downloading all tiles that include the study area for the time period of interest, and mosaicking the tiles spatially. This can be an extremely time-consuming process. In support of the Monsoon Asia Integrated Regional Study (MAIRS) program, NASA GES DISC (Goddard Earth Sciences Data and Information Services Center) has processed MODIS land products at 1 km resolution over the Asia monsoon region (0o-60oN, 60o-150oE) with a common data structure and format. The processed data have been integrated into the Giovanni system (Goddard Interactive Online Visualization ANd aNalysis Infrastructure) that enables users to explore, analyze, and download data over an area and time period of interest easily. Currently, the following regional MODIS land products are available in Giovanni: 8-day 1km land surface temperature and active fire, monthly 1km vegetation index, and yearly 0.05o, 500m land cover types. More data will be added in the near future. By combining atmospheric and oceanic data products in the Giovanni system, it is possible to do further analyses of environmental and climate changes associated with the land, ocean, and atmosphere. This presentation demonstrates exploring land products in the Giovanni system with sample case scenarios.

  16. Structural survey and faults kinematics analysis of the eastern Thaumasia Region, Mars

    NASA Astrophysics Data System (ADS)

    Borraccini, F.; di Achille, G.

    Thaumasia Region, Mars F. Borraccini (1), G. Di Achille (2) (1) Institute of Environmental Dynamics, University of Urbino, Italy, (2) Int'l Research School of Planetary Sciences, Pescara, Italy (borraccini@uniurb.it / Fax: +39 0722 304295 / Phone: +39 0722 304295) Thaumasia plateau is a tectonically uplifted area buonded by outward-verging ridges (Thaumasia Highlands and Coprates Rise) and by extensional features (Valles Marineris and Claritas Fossae). Since the geodynamic and tectonic evolution of Thaumasia is still debated, we have undertaken a detailed tectonic mapping of a key-sector (of about 2.400.000 km2 ) in order to provide new constraints for the reconstruction of the geodynamic evolution of the whole Thaumasia Region. The study area encompasses the Coprates Chasma and Thaumasia Planum and is bordered by Melas Dorsae and by Nectaris Fossae to the West and East, respectively. In addition to previous Martian data sets (MOC, Themis, and Viking), we also used the HRSC images which made possible a detailed structural analysis. The area shows tectonic features characterized by different kinematics, origins and ages. In particular, horst and graben structures are arranged in two main WNW-ESE and NW-SE trending sets. A further set of normal faults is E-W oriented and dissects the Coprates Rise. This is affected by intense scarp retreat processes probably associated to wind and/or fluvial activities. E-W oriented right-lateral strike-slip faults postdates the extensional features and locally shows associated pull-apart basins. A compressive tectonic phase is recorded by NNE-SSW trending wrinkle ridges and by N-S oriented, east-verging regional buckling folds. We also investigated the relationship between the kinematics of those sets of structures and of major features like Valles Marineris and Coprates Rise. The analysis of crosscutting relationships between observed tectonic trends allowed the identification of the main deformational events occurred in the

  17. New method of on-line quantification of regional wall motion with automated segmental motion analysis.

    PubMed

    Fujino, T; Ono, S; Murata, K; Tanaka, N; Tone, T; Yamamura, T; Tomochika, Y; Kimura, K; Ueda, K; Liu, J; Wada, Y; Murashita, M; Kondo, Y; Matsuzaki, M

    2001-09-01

    We have recently developed an automated segmental motion analysis (A-SMA) system, based on an automatic "blood-tissue interface" detection technique, to provide real-time and on-line objective echocardiographic segmental wall motion analysis. To assess the feasibility of A-SMA in detecting regional left ventricular (LV) wall motion abnormalities, we performed 2-dimensional echocardiography with A-SMA in 13 healthy subjects, 22 patients with prior myocardial infarction (MI), and 9 with dilated cardiomyopathy (DCM). Midpapillary parasternal short-axis and apical 2- and 4-chamber views were obtained to clearly trace the blood-tissue interface. The LV cavity was then divided into 6 wedge-shaped segments by A-SMA. The area of each segment was calculated automatically throughout a cardiac cycle, and the area changes of each segment were displayed as bar graphs or time-area curves. The systolic fractional area change (FAC), peak ejection rate (PER), and filling rate (PFR) were also calculated with the use of A-SMA. In the control group, a uniform FAC was observed in real time among 6 segments in the short-axis view (60% +/- 10% to 78% +/- 9%), or among 5 segments in either the 2-chamber (59% +/- 12% to 75% +/- 16%) or 4-chamber view (58% +/- 13% to 72% +/- 12%). The variations of FAC, PER, and PFR were obviously decreased in infarct-related regions in the MI group and were globally decreased in the DCM group. We conclude that A-SMA is an objective and time-saving method for assessing regional wall motion abnormalities in real time. This method is a reliable new tool that provides on-line quantification of regional wall motion.

  18. Housing Archetype Analysis for Home Energy-Efficient Retrofit in the Great Lakes Region

    SciTech Connect

    Kim, S. K.; Mrozowski, T.; Harrell-Seyburn, A.; Ehrlich, N.; Hembroff, L.; Bieburn, B.; Mazor, M.; McIntyre, A.; Mutton, C.; Parsons, G.; Syal, M. G.; Wilkinson, R.

    2014-09-01

    This project report details activities and results of the 'Market Characterization' project undertaken by the Cost Effective Energy Retrofit (CEER) team targeted toward the DOE goal of achieving 30%-50% reduction in existing building energy use. CEER consists of members from the Dow Chemical Company, Michigan State University, Ferris State University and Habitat for Humanity Kent County. The purpose of this market characterization project was to identify housing archetypes which are dominant within Great Lakes region and therefore offer significant potential for energy-efficient retrofit research and implementation due to the substantial number of homes possessing similar characteristics. Understanding the characteristics of housing groups referred to as 'archetypes' by vintage, style, and construction characteristics can allow research teams to focus their retrofit research and develop prescriptive solutions for those structure types which are prevalent and offer high potential uptake within a region or market. Key research activities included; literature review, statistical analysis of national and regional data of the American Housing Survey (AHS) collected by the U.S. Census Bureau, analysis of Michigan specific data, development of a housing taxonomy of architectural styles, case studies of two local markets (i.e., Ann Arbor and Grand Rapids in Michigan) and development of a suggested framework (or process) for characterizing local markets. In order to gain a high level perspective, national and regional data from the U.S. Census Bureau was analyzed using cross tabulations, multiple regression models, and logistic regression to characterize the housing stock and determine dominant house types using 21 variables.

  19. Analysis of Aeromagnetic data of the NE region of the Indian sub-continent.

    NASA Astrophysics Data System (ADS)

    Rajaram, M.; S. P, A.

    2007-12-01

    clearly defines the edges of the different geological formations. Within the Meghalaya plateau most of the high frequency anomalies are found associated with near surface ultramafic intrusions, mineralized zones etc. and appear to be controlled by the Dudhuni and Kulsi faults. Most of the shallow magnetic sources in the upper Assam and Brahmaputra valley show NW-SE trend and are restricted by the NW-SE Dhansili-Kopili fault. The Eastern Boundary thrust and the Dhubri fault appears to constrain the Grace anomaly highs in the east and west respectively. Through an analysis of the aeromagnetic data we identify extensions of the known fault below thick piles of sediments and presence of same hitherto unknown faults / lineaments. Results of this analysis and its implication for the geodynamic history of the region will be presented.

  20. Functional MRI Preprocessing in Lesioned Brains: Manual Versus Automated Region of Interest Analysis.

    PubMed

    Garrison, Kathleen A; Rogalsky, Corianne; Sheng, Tong; Liu, Brent; Damasio, Hanna; Winstein, Carolee J; Aziz-Zadeh, Lisa S

    2015-01-01

    Functional magnetic resonance imaging (fMRI) has significant potential in the study and treatment of neurological disorders and stroke. Region of interest (ROI) analysis in such studies allows for testing of strong a priori clinical hypotheses with improved statistical power. A commonly used automated approach to ROI analysis is to spatially normalize each participant's structural brain image to a template brain image and define ROIs using an atlas. However, in studies of individuals with structural brain lesions, such as stroke, the gold standard approach may be to manually hand-draw ROIs on each participant's non-normalized structural brain image. Automated approaches to ROI analysis are faster and more standardized, yet are susceptible to preprocessing error (e.g., normalization error) that can be greater in lesioned brains. The manual approach to ROI analysis has high demand for time and expertise, but may provide a more accurate estimate of brain response. In this study, commonly used automated and manual approaches to ROI analysis were directly compared by reanalyzing data from a previously published hypothesis-driven cognitive fMRI study, involving individuals with stroke. The ROI evaluated is the pars opercularis of the inferior frontal gyrus. Significant differences were identified in task-related effect size and percent-activated voxels in this ROI between the automated and manual approaches to ROI analysis. Task interactions, however, were consistent across ROI analysis approaches. These findings support the use of automated approaches to ROI analysis in studies of lesioned brains, provided they employ a task interaction design. PMID:26441816

  1. Functional MRI Preprocessing in Lesioned Brains: Manual Versus Automated Region of Interest Analysis.

    PubMed

    Garrison, Kathleen A; Rogalsky, Corianne; Sheng, Tong; Liu, Brent; Damasio, Hanna; Winstein, Carolee J; Aziz-Zadeh, Lisa S

    2015-01-01

    Functional magnetic resonance imaging (fMRI) has significant potential in the study and treatment of neurological disorders and stroke. Region of interest (ROI) analysis in such studies allows for testing of strong a priori clinical hypotheses with improved statistical power. A commonly used automated approach to ROI analysis is to spatially normalize each participant's structural brain image to a template brain image and define ROIs using an atlas. However, in studies of individuals with structural brain lesions, such as stroke, the gold standard approach may be to manually hand-draw ROIs on each participant's non-normalized structural brain image. Automated approaches to ROI analysis are faster and more standardized, yet are susceptible to preprocessing error (e.g., normalization error) that can be greater in lesioned brains. The manual approach to ROI analysis has high demand for time and expertise, but may provide a more accurate estimate of brain response. In this study, commonly used automated and manual approaches to ROI analysis were directly compared by reanalyzing data from a previously published hypothesis-driven cognitive fMRI study, involving individuals with stroke. The ROI evaluated is the pars opercularis of the inferior frontal gyrus. Significant differences were identified in task-related effect size and percent-activated voxels in this ROI between the automated and manual approaches to ROI analysis. Task interactions, however, were consistent across ROI analysis approaches. These findings support the use of automated approaches to ROI analysis in studies of lesioned brains, provided they employ a task interaction design.

  2. An analysis of region-of-influence methods for flood regionalization in the Gulf-Atlantic Rolling Plains

    USGS Publications Warehouse

    Eng, K.; Tasker, Gary D.; Milly, P.C.D.

    2005-01-01

    Region-of-influence (RoI) approaches for estimating streamflow characteristics at ungaged sites were applied and evaluated in a case study of the 50-year peak discharge in the Gulf-Atlantic Rolling Plains of the southeastern United States. Linear regression against basin characteristics was performed for each ungaged site considered based on data from a region of influence containing the n closest gages in predictor variable (PRoI) or geographic (GRoI) space. Augmentation of this count based cutoff by a distance based cutoff also was considered. Prediction errors were evaluated for an independent (split-sampled) dataset. For the dataset and metrics considered here: (1) for either PRoI or GRoI, optimal results were found when the simpler count based cutoff, rather than the distance augmented cutoff, was used; (2) GRoI produced lower error than PRoI when applied indiscriminately over the entire study region; (3) PRoI performance improved considerably when RoI was restricted to predefined geographic subregions.

  3. THE SOUTHWEST REGIONAL GAP PROJECT: A DATABASE MODEL FOR REGIONAL LANDSCAPE ASSESSMENT, RESOURCE PLANNING, AND VULNERABILITY ANALYSIS

    EPA Science Inventory

    The Gap Analysis Program (GAP) is a national interagency program that maps the distribution of plant communities and selected animal species and compares these distributions with land stewardship to identify biotic elements at potential risk of endangerment. Acquisition of primar...

  4. Regional analysis of drought and heat impacts on forests: current and future science directions.

    PubMed

    Law, Beverly E

    2014-12-01

    Accurate assessments of forest response to current and future climate and human actions are needed at regional scales. Predicting future impacts on forests will require improved analysis of species-level adaptation, resilience, and vulnerability to mortality. Land system models can be enhanced by creating trait-based groupings of species that better represent climate sensitivity, such as risk of hydraulic failure from drought. This emphasizes the need for more coordinated in situ and remote sensing observations to track changes in ecosystem function, and to improve model inputs, spatio-temporal diagnosis, and predictions of future conditions, including implications of actions to mitigate climate change.

  5. Analysis of the spatial distribution between successive earthquakes occurred in various regions in the world

    NASA Astrophysics Data System (ADS)

    Marekova, Elisaveta

    2014-12-01

    The earthquake spatial distribution is being studied, using earthquake catalogs from different seismic regions (California, Canada, Central Asia, Greece, and Japan). The quality of the available catalogs, taking into account the completeness of the magnitude, is examined. Based on the analysis of the catalogs, it was determined that the probability densities of the inter-event distance distribution collapse into single distribution when the data is rescaled. The collapse of the data provides a clear illustration of earthquake-occurrence self-similarity in space.

  6. PREPRO: a computer program for encoding regional exploration data for use in characteristic analysis

    USGS Publications Warehouse

    Bridges, N.J.; Hanley, J.T.; McCammon, R.B.

    1985-01-01

    The preprocessor (PREPRO) computer program offers the exploration geologist a variety of options for encoding regional exploration data into ternary form for use in characteristic analysis. PREPRO's options include variable-input formats, cursor input, ordering among a set of input variables, and selectable ternary transformations. Moreover, the program provides for the display of results which, in turn, makes possible review, reselection, and retransformation of variables. Most important, the performance of the listed steps in an interactive computing environment results in rapid and efficient preprocessing of the data.

  7. Quantitative spectral trace element analysis of pathogenic biominerals from residents of the Omsk region

    NASA Astrophysics Data System (ADS)

    Golovanova, O. A.; Bel'Skaya, L. V.; Berezina, N. Yu.

    2006-11-01

    We have used x-ray fluorescence elemental analysis to analyze a collection of 170 kidney stones, 89 dental calculi (tartar), and 120 gallstones from patients in the Omsk region. According to the experimental results, we observed 36 elements in the kidney stones, 14 elements in the tartar, and 13 elements in the gallstones. We used inductively coupled plasma atomic emission spectroscopy to establish the elemental composition of saliva and bile samples. Comparison of the compositions of the saliva and tartar and also comparison of the compositions of the bile and gallstones showed that biological fluids (saliva and bile) are the likely source of trace elements for pathogenic mineralizations.

  8. A mathematical model and image analysis technique for calculating regional cerebral blood flow.

    PubMed

    Gitelman, D R; Toga, A W

    1989-05-01

    This paper discusses the theory and implementation of a modular data analysis system for the calculation and imaging of regional cerebral blood flow. The program may be generalized to any system requiring instantaneous and controllable visual data display, and we have set it up for compartmental analysis as described by the Fick equation with certain correction factors. We have included flow charts of the program source code and data paths for the various modules. We also describe the functional hardware components necessary for the execution of these algorithms. Finally, analyzed data are represented from a set of experiments employing differential visual stimulation. The results obtained using our methods are comparable to those in the existing literature; they are more accurately and easily obtained, and have the added power of manipulable digitization of the original image without loss of data. PMID:2714080

  9. Analysis the 1978-2008 crustal and sub-crustal earthquake catalog of Vrancea region

    NASA Astrophysics Data System (ADS)

    Telesca, L.; Alcaz, V.; Sandu, I.

    2012-05-01

    The crustal and sub-crustal seismicity that occurred in the Vrancea area from 1978 to 2008 is investigated. Due to quarry blast contamination, the analysis of the crustal seismicity was restricted to events that occurred between 20 km and 60 km, considering sub-crustal events as all those that occurred at depths larger than 60 km. The completeness magnitude was estimated between 2.3 and 2.5 for the crustal seismicity and between 2.9 and 3.1 for the sub-crustal one. The Gutenberg-Richter b-values show clear differences between crustal and sub-crustal seismicity, with values around 0.9 and 1.3-1.4, respectively. The analysis performed in this study represents a preliminary issue for the seismic hazard assessment of surrounding regions like Moldova, for which the earthquakes generated in Vrancea represent an important threat.

  10. [Comparison analysis between potential and actual pattern of artificial oases in arid region].

    PubMed

    Jia, B; Ci, L; Yang, X; Yang, J; Pan, B

    2000-12-01

    Based on theoretical analysis and demonstration research, the conception of potential pattern in the agriculture landscape of artificial oases in Xinjiang arid region and its analysis unit were discussed. The potential landscape pattern was defined as the one composed by spatial units with basic characteristics and properties which had no change or less change with the time. In agriculture landscape, soil was found to be a relatively stable element, and hence, different soil classification unit could be used to analyze the potential landscape pattern. A case study was carried out to analyze the potential and actual pattern of the artificial cases in Shihezi reclamation area by using the indexes of diversity, evenness, aggregation, mean patch elongation, patch shape fragmentation and mean patch fractal dimension. The result showed that the landscape pattern changed orderly from the potential to actual pattern, and the potential pattern could be used as the absolute criterion for researches on pattern changes in agriculture landscape.

  11. Regional tectonic analysis of Venus equatorial highlands and comparison with Earth-based Magellan radar images

    NASA Technical Reports Server (NTRS)

    Williams, David R.; Wetherill, George

    1993-01-01

    Research on regional tectonic analysis of Venus equatorial highlands and comparison with earth-based and Magellan radar images is presented. Over the past two years, the tectonic analysis of Venus performed centered on global properties of the planet, in order to understand fundamental aspects of the dynamics of the mantle and lithosphere of Venus. These include studies pertaining to the original constitutive and thermal character of the planet, as well as the evolution of Venus through time, and the present day tectonics. Parameterized convection models of the Earth and Venus were developed. The parameterized convection code was reformulated to model Venus with an initially hydrous mantle to determine how the cold-trap could affect the evolution of the planet.

  12. Temperature Analysis of an Active Region Core Loop Using AIA and XRT Data

    NASA Astrophysics Data System (ADS)

    Garst, Jennifer W.; Schmelz, J.; Kimble, J.

    2012-05-01

    Data obtained on December 10, 2010 by both the Atmospheric Imaging Assembly (AIA) and the X-Ray Telescope (XRT) are co-aligned and appropriately scaled in order to do a differential emission measure analysis of the combined data. This project uses Hybrid abundances from Fludra & Schmelz and atomic data from the CHIANTI atomic physics database to analyze an active region core loop and report on the multithermal analysis of the combined data set. The loop being analyzed is visible in the 94, 131, 171, 193, 211, 335 Å passbands on AIA; and the Al-thick, Ti-poly, Al-mesh, Al-poly/Ti-poly, C-Poly/Ti-poly, C-poly, Be-thin, Be-med, Al-med, and Al-poly filters on XRT. Solar physics research at the University of Memphis is supported by NSF ATM-0402729 as well as a Hinode subcontract from NASA/SAO.

  13. 3D CT Imaging for Craniofacial Analysis Based on Anatomical Regions.

    PubMed

    Wan Harun, W A R; Ahmad Rajion, Zainul; Abdul Aziz, Izhar; Rani Samsudin, Abdul

    2005-01-01

    The development of a craniofacial database is a multidisciplinary initiative that will provide an important reference for community, security, social and medical applications. A method of landmark identifications and measurements in 3d on craniofacial patients is described. anatomical regions such as mandible, orbits, zygoma and maxilla are located, created and stored as templates of 3D CAD files for subsequent analysis. Data from these images were tested for accuracy and repeatability by comparing with direct measurements using caliper and CMM. The landmark points are reproducible in CAD system for further analysis. it was found that the approach provides a fast, accurate and efficient method for landmarks identification of the craniofacial areas in database development. PMID:17282309

  14. Rapid detection of regionally clustered germ-line BRCA1 mutations by multiplex heteroduplex analysis

    SciTech Connect

    Gayther, S.A.; Harrington, P.; Russell, P.

    1996-03-01

    Germ-line mutations of the BRCA1 gene are responsible for a substantial proportion of families with multiple cases of early-onset breast and/or ovarian cancer. Since the isolation of BRCA1 last year, >65 distinct mutations scattered throughout the coding region have been detected, making analysis of the gene time consuming and technically challenging. We have developed a multiplex heteroduplex analysis that is designed to analyze one-quarter of the coding sequence in a single-step screening procedure and that will detect {approximately}50% of all BRCA1 mutations so far reported in breast/ovarian cancer families. We have used this technique to analyze BRCA1 in 162 families with a history of breast and/or ovarian cancer and identified 12 distinct mutations in 35 families. 20 refs., 2 figs., 2 tabs.

  15. The analysis of temporal variations in regional models of the Sargasso Sea from GEOS-3 altimetry

    NASA Technical Reports Server (NTRS)

    Mather, R. S.; Coleman, R.; Hirsch, B.

    1978-01-01

    The dense coverage of short pulse mode GEOS-3 altimeter data in the western North Atlantic provides a basis for studying time variations in the sea surface heights in the Sargasso Sea. Two techniques are utilized: the method of regional models, and the analysis of overlapping passes. An 88 percent correlation is obtained between the location of cyclonic eddies obtained from infrared imagery and sea surface height minima in the altimeter models. This figure drops to 59 percent in the case of correlations with maxima and minima of surface temperature fields. The analysis of overlapping passes provides a better picture of instantaneous sea state through wavelengths greater than 30 km. The variability of the Sargasso Sea through wavelengths between 150 km and 5000 km is estimated at + or - 28 cm. This value is in reasonable agreement with oceanographic estimates and is compatible with the eddy kinetic energy of a wind driven circulation.

  16. EURO-CORDEX regional climate model analysis for the Greater Alpine Region: Performance and expected future change

    NASA Astrophysics Data System (ADS)

    Smiatek, Gerhard; Kunstmann, Harald; Senatore, Alfonso

    2016-07-01

    Simulations from 13 highly resolved regional climate models run within the Coordinated Downscaling Experiment initiative at 0.11° resolution with boundary forcings from five different Coupled Model Intercomparison Project Phase 5 global models are employed to derive future climate change signal for the Greater Alpine Region (GAR) and four smaller investigation areas. Evaluation statistics include mean temperature and precipitation, frequency of days with precipitation over 1 mm and over 15 mm, 90% quantile of the frequency distribution, and maximum number of consecutive dry days. The evaluation for the period from 1971 to 2000 indicates that the models reproduce spatial seasonal precipitation patterns. In general, the simulations underestimate the seasonal mean temperature and overestimate the mean precipitation values. In GAR the ensemble seasonal mean temperature bias ranges from -0.8 to -1.9°C. The bias in precipitation varies between +14.8% in summer and +41.6% in the winter season. Larger errors are found for other statistics and in the investigated regions. In general, no significant gains in the quality of reproduction of the observed precipitation and temperature statistics compared to previous experiments can be identified. The temperature calculations for 2071-2100 related to the period from 1971 to 2000 in the GAR area show ensemble mean increases in the seasonal mean 2 m temperature of 2.5°C in fall and winter, 2.4°C in summer, and 1.9°C in spring. In the same area, precipitation is simulated to increase up to 12.3% in winter and 5.7% in spring. Only minor changes of the ensemble mean are predicted with +2.3% in fall and -1.7% in summer.

  17. EuroCORDEX ensemble analysis and comparison to ENSEMBLES ensemble of regional simulations

    NASA Astrophysics Data System (ADS)

    Halenka, Tomas; Klukova, Zuzana; Belda, Michal

    2015-04-01

    Basic assessment of the ensemble of available EuroCORDEX simulations is provided in terms of monthly mean analysis of surface temperature and precipitation monthly amount. Both ERA-Interim perfect boundary conditions simulations and historical runs driven by different GCMs from CMIP5 are validated against E.OBS data and compared for both available resolutions (0.11 and 0.44 deg.). The results are presented using the maps of model biases as well as in terms of the areal statistics for PRUDENCE regions, where former ENSEMBLES ensemble of regional simulations is used for comparison. No significantly better results can be seen when comparing the results of 0.11 deg. resolution with respect to the 0.44 deg. Moreover, while both ensembles (basically all the members) are in very good agreement in annual cycle for temperature and very close to the reality, for precipitation quite significant disagreements appear for many of the simulations over some regions, in both ensembles.

  18. DeepBlue epigenomic data server: programmatic data retrieval and analysis of epigenome region sets

    PubMed Central

    Albrecht, Felipe; List, Markus; Bock, Christoph; Lengauer, Thomas

    2016-01-01

    Large amounts of epigenomic data are generated under the umbrella of the International Human Epigenome Consortium, which aims to establish 1000 reference epigenomes within the next few years. These data have the potential to unravel the complexity of epigenomic regulation. However, their effective use is hindered by the lack of flexible and easy-to-use methods for data retrieval. Extracting region sets of interest is a cumbersome task that involves several manual steps: identifying the relevant experiments, downloading the corresponding data files and filtering the region sets of interest. Here we present the DeepBlue Epigenomic Data Server, which streamlines epigenomic data analysis as well as software development. DeepBlue provides a comprehensive programmatic interface for finding, selecting, filtering, summarizing and downloading region sets. It contains data from four major epigenome projects, namely ENCODE, ROADMAP, BLUEPRINT and DEEP. DeepBlue comes with a user manual, examples and a well-documented application programming interface (API). The latter is accessed via the XML-RPC protocol supported by many programming languages. To demonstrate usage of the API and to enable convenient data retrieval for non-programmers, we offer an optional web interface. DeepBlue can be openly accessed at http://deepblue.mpi-inf.mpg.de. PMID:27084938

  19. Reduction, analysis, and properties of electric current systems in solar active regions

    NASA Technical Reports Server (NTRS)

    Gary, G. Allen; Demoulin, Pascal

    1995-01-01

    The specific attraction and, in large part, the significance of solar magnetograms lie in the fact that they give the most important data on the electric currents and the nonpotentiality of active regions. Using the vector magnetograms from the Marshall Space Flight Center (MSFC), we employ a unique technique in the area of data analysis for resolving the 180 deg ambiguity in order to calculate the spatial structure of the vertical electric current density. The 180 deg ambiguity is resolved by applying concepts from the nonlinear multivariable optimization theory. The technique is shown to be of particular importance in very nonpotential active regions. The characterization of the vertical electric current density for a set of vector magnetograms using this method then gives the spatial scale, locations, and magnitude of these current systems. The method, which employs an intermediate parametric function which covers the magnetogram and which defines the local `preferred' direction, minimizes a specific functional of the observed transverse magnetic field. The specific functional that is successful is the integral of the square of the vertical current density. We find that the vertical electric current densities have common characteristics for the extended bipolar (beta) (gamma) (delta)-regions studied. The largest current systems have j(sub z)'s which maximizes around 30 mA/sq m and have a linear decreasing distribution to a diameter of 30 Mn.

  20. Reduction, Analysis, and Properties of Electric Current Systems in Solar Active Regions

    NASA Technical Reports Server (NTRS)

    Gary, G. Allen; Demoulin, Pascal

    1995-01-01

    The specific attraction and, in large part, the significance of solar vector magnetograms lie in the fact that they give the most important data on the electric currents and the nonpotentiality of active regions. Using the vector magnetograms from the Marshall Space Flight Center (MSFC), we employ a unique technique in the area of data analysis for resolving the 180 degree ambiguity in order to calculate the spatial structure of the vertical electric current density. The 180 degree ambiguity is resolved by applying concepts from the nonlinear multivariable optimization theory. The technique is shown to be of particular importance in very nonpotential active regions. The characterization of the vertical electric current density for a set of vector magnetograms using this method then gives the spatial scale, locations, and magnitude of these current systems. The method, which employs an intermediate parametric function which covers the magnetogram and which defines the local "preferred" direction, minimizes a specific functional of the observed transverse magnetic field. The specific functional that is successful is the integral of the square of the vertical current density. We find that the vertical electric current densities have common characteristics for the extended bipolar beta gamma delta-regions studied. The largest current systems have j(sub z)'s which maximizes around 30 mA per square meter and have a linear decreasing distribution to a diameter of 30 Mm.

  1. Analysis of genomic regions of Trichoderma harzianum IOC-3844 related to biomass degradation.

    PubMed

    Crucello, Aline; Sforça, Danilo Augusto; Horta, Maria Augusta Crivelente; dos Santos, Clelton Aparecido; Viana, Américo José Carvalho; Beloti, Lilian Luzia; de Toledo, Marcelo Augusto Szymanski; Vincentz, Michel; Kuroshu, Reginaldo Massanobu; de Souza, Anete Pereira

    2015-01-01

    Trichoderma harzianum IOC-3844 secretes high levels of cellulolytic-active enzymes and is therefore a promising strain for use in biotechnological applications in second-generation bioethanol production. However, the T. harzianum biomass degradation mechanism has not been well explored at the genetic level. The present work investigates six genomic regions (~150 kbp each) in this fungus that are enriched with genes related to biomass conversion. A BAC library consisting of 5,760 clones was constructed, with an average insert length of 90 kbp. The assembled BAC sequences revealed 232 predicted genes, 31.5% of which were related to catabolic pathways, including those involved in biomass degradation. An expression profile analysis based on RNA-Seq data demonstrated that putative regulatory elements, such as membrane transport proteins and transcription factors, are located in the same genomic regions as genes related to carbohydrate metabolism and exhibit similar expression profiles. Thus, we demonstrate a rapid and efficient tool that focuses on specific genomic regions by combining a BAC library with transcriptomic data. This is the first BAC-based structural genomic study of the cellulolytic fungus T. harzianum, and its findings provide new perspectives regarding the use of this species in biomass degradation processes. PMID:25836973

  2. Analysis of Genomic Regions of Trichoderma harzianum IOC-3844 Related to Biomass Degradation

    PubMed Central

    Crucello, Aline; Sforça, Danilo Augusto; Horta, Maria Augusta Crivelente; dos Santos, Clelton Aparecido; Viana, Américo José Carvalho; Beloti, Lilian Luzia; de Toledo, Marcelo Augusto Szymanski; Vincentz, Michel; Kuroshu, Reginaldo Massanobu; de Souza, Anete Pereira

    2015-01-01

    Trichoderma harzianum IOC-3844 secretes high levels of cellulolytic-active enzymes and is therefore a promising strain for use in biotechnological applications in second-generation bioethanol production. However, the T. harzianum biomass degradation mechanism has not been well explored at the genetic level. The present work investigates six genomic regions (~150 kbp each) in this fungus that are enriched with genes related to biomass conversion. A BAC library consisting of 5,760 clones was constructed, with an average insert length of 90 kbp. The assembled BAC sequences revealed 232 predicted genes, 31.5% of which were related to catabolic pathways, including those involved in biomass degradation. An expression profile analysis based on RNA-Seq data demonstrated that putative regulatory elements, such as membrane transport proteins and transcription factors, are located in the same genomic regions as genes related to carbohydrate metabolism and exhibit similar expression profiles. Thus, we demonstrate a rapid and efficient tool that focuses on specific genomic regions by combining a BAC library with transcriptomic data. This is the first BAC-based structural genomic study of the cellulolytic fungus T. harzianum, and its findings provide new perspectives regarding the use of this species in biomass degradation processes. PMID:25836973

  3. DeepBlue epigenomic data server: programmatic data retrieval and analysis of epigenome region sets.

    PubMed

    Albrecht, Felipe; List, Markus; Bock, Christoph; Lengauer, Thomas

    2016-07-01

    Large amounts of epigenomic data are generated under the umbrella of the International Human Epigenome Consortium, which aims to establish 1000 reference epigenomes within the next few years. These data have the potential to unravel the complexity of epigenomic regulation. However, their effective use is hindered by the lack of flexible and easy-to-use methods for data retrieval. Extracting region sets of interest is a cumbersome task that involves several manual steps: identifying the relevant experiments, downloading the corresponding data files and filtering the region sets of interest. Here we present the DeepBlue Epigenomic Data Server, which streamlines epigenomic data analysis as well as software development. DeepBlue provides a comprehensive programmatic interface for finding, selecting, filtering, summarizing and downloading region sets. It contains data from four major epigenome projects, namely ENCODE, ROADMAP, BLUEPRINT and DEEP. DeepBlue comes with a user manual, examples and a well-documented application programming interface (API). The latter is accessed via the XML-RPC protocol supported by many programming languages. To demonstrate usage of the API and to enable convenient data retrieval for non-programmers, we offer an optional web interface. DeepBlue can be openly accessed at http://deepblue.mpi-inf.mpg.de.

  4. Near-Field Probabilistic Seismic Hazard Analysis of Metropolitan Tehran Using Region-Specific Directivity Models

    NASA Astrophysics Data System (ADS)

    Yazdani, Azad; Nicknam, Ahmad; Dadras, Ehsan Yousefi; Eftekhari, Seyed Nasrollah

    2016-09-01

    Ground motions are affected by directivity effects at near-fault regions which result in low-frequency cycle pulses at the beginning of the velocity time history. The directivity features of near-fault ground motions can lead to significant increase in the risk of earthquake-induced damage on engineering structures. The ordinary probabilistic seismic hazard analysis (PSHA) does not take into account such effects; recent studies have thus proposed new frameworks to incorporate directivity effects in PSHA. The objective of this study is to develop the seismic hazard mapping of Tehran City according to near-fault PSHA procedure for different return periods. To this end, the directivity models required in the modified PSHA were developed based on a database of the simulated ground motions. The simulated database was used in this study because there are no recorded near-fault data in the region to derive purely empirically based pulse prediction models. The results show that the directivity effects can significantly affect the estimate of regional seismic hazard.

  5. Comparative Analysis of the Shared Sex-Determination Region (SDR) among Salmonid Fishes.

    PubMed

    Faber-Hammond, Joshua J; Phillips, Ruth B; Brown, Kim H

    2015-07-01

    Salmonids present an excellent model for studying evolution of young sex-chromosomes. Within the genus, Oncorhynchus, at least six independent sex-chromosome pairs have evolved, many unique to individual species. This variation results from the movement of the sex-determining gene, sdY, throughout the salmonid genome. While sdY is known to define sexual differentiation in salmonids, the mechanism of its movement throughout the genome has remained elusive due to high frequencies of repetitive elements, rDNA sequences, and transposons surrounding the sex-determining regions (SDR). Despite these difficulties, bacterial artificial chromosome (BAC) library clones from both rainbow trout and Atlantic salmon containing the sdY region have been reported. Here, we report the sequences for these BACs as well as the extended sequence for the known SDR in Chinook gained through genome walking methods. Comparative analysis allowed us to study the overlapping SDRs from three unique salmonid Y chromosomes to define the specific content, size, and variation present between the species. We found approximately 4.1 kb of orthologous sequence common to all three species, which contains the genetic content necessary for masculinization. The regions contain transposable elements that may be responsible for the translocations of the SDR throughout salmonid genomes and we examine potential mechanistic roles of each one. PMID:26112966

  6. Forensic analysis of polymorphism and regional stratification of Y-chromosomal microsatellites in Belarus.

    PubMed

    Rebała, Krzysztof; Tsybovsky, Iosif S; Bogacheva, Anna V; Kotova, Svetlana A; Mikulich, Alexei I; Szczerkowska, Zofia

    2011-01-01

    Nine loci defining minimal haplotypes and four other Y-chromosomal short tandem repeats (Y-STRs) DYS437, DYS438, DYS439 and GATA H4.1 were analysed in 414 unrelated males residing in four regions of Belarus. Haplotypes of 328 males were further extended by 7 additional Y-STRs: DYS388, DYS426, DYS448, DYS456, DYS458, DYS460 and DYS635. The 13-locus haplotype diversity was 0.9978 and discrimination capacity was 78.7%, indicating presence of identical haplotypes among unrelated males. Seven additional Y-STRs enabled almost complete discrimination of undifferentiated 13-locus haplotypes, increasing haplotype diversity to 0.9998 and discrimination capacity to 97.9%. Analysis of molecular variance of minimal haplotypes excluded the use of a Y-STR database for Belarusians residing in northeastern Poland as representative for the Belarusian population in forensic practice, and revealed regional stratification within the country. However, four additional markers (DYS437, DYS438, DYS439 and GATA H4.1) were shown to eliminate the observed geographical substructure among Belarusian males. The results imply that in case of minimal and PowerPlex Y haplotypes, a separate frequency database should be used for northern Belarus to estimate Y-STR profile frequencies in forensic casework. In case of Yfiler haplotypes, regional stratification within Belarus may be neglected.

  7. Analysis of climate projections for the Carpathian Region using dynamical downscaling

    NASA Astrophysics Data System (ADS)

    Bartholy, Judit; Pongracz, Rita; Pieczka, Ildiko; Andre, Karolina

    2015-04-01

    Hungarian national climate and adaptation strategies have been recently revised, and a National Adaptation Geo-information System (NAGIS) is currently under development. This platform will serve as a central data collection for various end-users, impact researchers, and decision makers on national level in Hungary. In order to satisfy the demands for climate projection inputs within this framework, RegCM4.3 is one of the regional climate models used to provide results for detailed regional scale analysis and specific impact studies. RegCM is a 3-dimensional, sigma-coordinate, primitive equation model, originally developed by Giorgi et al. Currently, it is available from the ICTP (Abdus Salam International Centre for Theoretical Physics). We have already completed experiments with 50 km horizontal resolution covering both the second half of the past century (1951-2005), and the future (i.e., the 21st century, 2006-2100) using HadGEM2 global model outputs as initial and lateral boundary conditions. The outputs of the 50 km runs drive the further downscaling experiments using 10 km as a horizontal resolution for a smaller domain covering Central Europe with special focus on the Carpathian Region. For the future, RCP4.5 scenario run is analysed in this poster, and moreover, preliminary results of the RCP8.5 scenario run are also presented.

  8. Statistical analysis of the MODIS atmosphere products for the Tomsk region

    NASA Astrophysics Data System (ADS)

    Afonin, Sergey V.; Belov, Vladimir V.; Engel, Marina V.

    2005-10-01

    The paper presents the results of using the MODIS Atmosphere Products satellite information to study the atmospheric characteristics (the aerosol and water vapor) in the Tomsk Region (56-61°N, 75-90°E) in 2001-2004. The satellite data were received from the NASA Goddard Distributed Active Archive Center (DAAC) through the INTERNET.To use satellite data for a solution of scientific and applied problems, it is very important to know their accuracy. Despite the results of validation of the MODIS data have already been available in the literature, we decided to carry out additional investigations for the Tomsk Region. The paper presents the results of validation of the aerosol optical thickness (AOT) and total column precipitable water (TCPW), which are in good agreement with the test data. The statistical analysis revealed some interesting facts. Thus, for example, analyzing the data on the spatial distribution of the average seasonal values of AOT or TCPW for 2001-2003 in the Tomsk Region, we established that instead of the expected spatial homogeneity of these distributions, they have similar spatial structures.

  9. DeepBlue epigenomic data server: programmatic data retrieval and analysis of epigenome region sets.

    PubMed

    Albrecht, Felipe; List, Markus; Bock, Christoph; Lengauer, Thomas

    2016-07-01

    Large amounts of epigenomic data are generated under the umbrella of the International Human Epigenome Consortium, which aims to establish 1000 reference epigenomes within the next few years. These data have the potential to unravel the complexity of epigenomic regulation. However, their effective use is hindered by the lack of flexible and easy-to-use methods for data retrieval. Extracting region sets of interest is a cumbersome task that involves several manual steps: identifying the relevant experiments, downloading the corresponding data files and filtering the region sets of interest. Here we present the DeepBlue Epigenomic Data Server, which streamlines epigenomic data analysis as well as software development. DeepBlue provides a comprehensive programmatic interface for finding, selecting, filtering, summarizing and downloading region sets. It contains data from four major epigenome projects, namely ENCODE, ROADMAP, BLUEPRINT and DEEP. DeepBlue comes with a user manual, examples and a well-documented application programming interface (API). The latter is accessed via the XML-RPC protocol supported by many programming languages. To demonstrate usage of the API and to enable convenient data retrieval for non-programmers, we offer an optional web interface. DeepBlue can be openly accessed at http://deepblue.mpi-inf.mpg.de. PMID:27084938

  10. Analysis of genomic regions of Trichoderma harzianum IOC-3844 related to biomass degradation.

    PubMed

    Crucello, Aline; Sforça, Danilo Augusto; Horta, Maria Augusta Crivelente; dos Santos, Clelton Aparecido; Viana, Américo José Carvalho; Beloti, Lilian Luzia; de Toledo, Marcelo Augusto Szymanski; Vincentz, Michel; Kuroshu, Reginaldo Massanobu; de Souza, Anete Pereira

    2015-01-01

    Trichoderma harzianum IOC-3844 secretes high levels of cellulolytic-active enzymes and is therefore a promising strain for use in biotechnological applications in second-generation bioethanol production. However, the T. harzianum biomass degradation mechanism has not been well explored at the genetic level. The present work investigates six genomic regions (~150 kbp each) in this fungus that are enriched with genes related to biomass conversion. A BAC library consisting of 5,760 clones was constructed, with an average insert length of 90 kbp. The assembled BAC sequences revealed 232 predicted genes, 31.5% of which were related to catabolic pathways, including those involved in biomass degradation. An expression profile analysis based on RNA-Seq data demonstrated that putative regulatory elements, such as membrane transport proteins and transcription factors, are located in the same genomic regions as genes related to carbohydrate metabolism and exhibit similar expression profiles. Thus, we demonstrate a rapid and efficient tool that focuses on specific genomic regions by combining a BAC library with transcriptomic data. This is the first BAC-based structural genomic study of the cellulolytic fungus T. harzianum, and its findings provide new perspectives regarding the use of this species in biomass degradation processes.

  11. Regional analysis of groundwater nitrate concentrations and trends in Denmark in regard to agricultural influence

    NASA Astrophysics Data System (ADS)

    Hansen, B.; Dalgaard, T.; Thorling, L.; Sørensen, B.; Erlandsen, M.

    2012-08-01

    The act of balancing between an intensive agriculture with a high potential for nitrate pollution and a drinking water supply almost entirely based on groundwater is a challenge faced by Denmark and similar regions around the globe. Since the 1980s, regulations implemented by Danish farmers have succeeded in optimizing the N (nitrogen) management at farm level. As a result, the upward agricultural N surplus trend has been reversed, and the N surplus has reduced by 30-55% from 1980 to 2007 depending on region. The reduction in the N surplus served to reduce the losses of N from agriculture, with documented positive effects on nature and the environment in Denmark. In groundwater, the upward trend in nitrate concentrations was reversed around 1980, and a larger number of downward nitrate trends were seen in the youngest groundwater compared with the oldest groundwater. However, on average, approximately 48% of the oxic monitored groundwater has nitrate concentrations above the groundwater and drinking water standards of 50 mg l-1. Furthermore, trend analyses show that 33% of all the monitored groundwater has upward nitrate trends, while only 18% of the youngest groundwater has upward nitrate trends according to data sampled from 1988-2009. A regional analysis shows a correlation between a high level of N surplus in agriculture, high concentrations of nitrate in groundwater and the largest number of downward nitrate trends in groundwater in the livestock-dense northern and western parts of Denmark compared with the southeastern regions with lower livestock densities. These results indicate that the livestock farms dominating in northern and western parts of Denmark have achieved the largest reductions in N surpluses. Groundwater recharge age determinations allow comparison of long-term changes in N surplus in agriculture with changes in oxic groundwater quality. The presented data analysis is based on groundwater recharged from 1952-2003, but sampled from 1988

  12. Regional analysis of groundwater nitrate concentrations and trends in Denmark in regard to agricultural influence

    NASA Astrophysics Data System (ADS)

    Hansen, B.; Dalgaard, T.; Thorling, L.; Sørensen, B.; Erlandsen, M.

    2012-05-01

    The act of balancing between an intensive agriculture with a high potential for nitrate pollution and a~drinking water supply almost entirely based on groundwater is a challenge faced by Denmark and similar regions around the globe. Since the 1980s, regulations implemented by Danish farmers have succeeded in optimizing the N (nitrogen) management at farm level. As a result, the upward agricultural N surplus trend has been reversed, and the N surplus has reduced by 30-55 % from 1980 to 2007 depending on region. The reduction in the N surplus served to reduce the losses of N from agriculture, with documented positive effects on nature and the environment in Denmark. In groundwater, the upward trend in nitrate concentration was reversed around 1980, and a larger number of downward nitrate trends were seen in the youngest groundwater compared with the oldest groundwater. However, on average, approximately 48 % of the oxic monitored groundwater has nitrate concentrations above the groundwater and drinking water standards of 50 mg l-1. Furthermore, trend analyses show that 33 % of all the monitored groundwater has upward nitrate trends, while only 18 % of the youngest groundwater has upward nitrate trends according to data sampled from 1988-2009. A regional analysis shows a correlation between a high level of N surplus in agriculture, high concentrations of nitrate in groundwater and the largest number of downward nitrate trends in groundwater in the livestock-dense northern and western parts of Denmark compared with the south-eastern regions with lower livestock densities. These results indicate that the livestock farms dominating in northern and western parts of Denmark have achieved the largest reductions in N surpluses. Groundwater recharge age determinations allow comparison of long-term changes in N surplus in agriculture with changes in oxic groundwater quality. The presented data analysis is based on groundwater recharged from 1952-2003, but sampled from 1988

  13. Analysis of Stakeholder's Behaviours for an Improved Management of an Agricultural Coastal Region in Oman

    NASA Astrophysics Data System (ADS)

    Khatri, Ayisha Al; Jens, Grundmann; der Weth Rüdiger, van; Niels, Schütze

    2015-04-01

    Al Batinah coastal area is the main agricultural region in Oman. Agriculture is concentrated in Al Batinah, because of more fertile soils and easier access to water in the form of groundwater compared to other administrative areas in the country. The region now is facing a problem as a result of over abstraction of fresh groundwater for irrigation from the main aquifer along the coast. This enforces the inflow of sea water into the coastal aquifer and causes salinization of the groundwater. As a consequence the groundwater becomes no longer suitable for irrigation which impacts the social and economical situation of farmers as well as the environment. Therefore, the existing situation generates conflicts between different stakeholders regarding water availability, sustainable aquifer management, and profitable agricultural production in Al Batinah region. Several management measures to maintain the groundwater aquifer in the region, were implemented by the government. However, these solutions showed only limited successes for the existing problem. The aim of this study now is to evaluate the implementation potential of several management interventions and their combinations by analysing opinions and responses of all relevant stakeholders in the region. This is done in order to identify potential conflicts among stakeholders to a participatory process within the frame of an integrated water resources management and to support decision makers in taking more informed decisions. Questionnaires were designed for collecting data from different groups of stakeholders e.g. water professionals, farmers from the study area and decision makers of different organizations and ministries. These data were analysed statistically for each group separately as well as regarding relations amongst groups by using the SPSS (Statistical Package for Social Science) software package. Results show, that the need to improve the situation is supported by all groups. However, significant

  14. Multi-criteria decision analysis for bioenergy in the Centre Region of Portugal

    NASA Astrophysics Data System (ADS)

    Esteves, T. C. J.; Cabral, P.; Ferreira, A. J. D.; Teixeira, J. C.

    2012-04-01

    With the consumption of fossil fuels, the resources essential to Man's survival are being rapidly contaminated. A sustainable future may be achieved by the use of renewable energies, allowing countries without non-renewable energy resources to guarantee energetic sovereignty. Using bioenergy may mean a steep reduction and/or elimination of the external dependency, enhancing the countries' capital and potentially reducing of the negative effects that outcome from the use of fossil fuels, such as loss of biodiversity, air, water, and soil pollution, … This work's main focus is to increase bioenergy use in the centre region of Portugal by allying R&D to facilitate determination of bioenergy availability and distribution throughout the study area.This analysis is essential, given that nowadays this knowledge is still very limited in the study area. Geographic Information Systems (GIS) was the main tool used to asses this study, due to its unseeingly ability to integrate various types of information (such as alphanumerical, statistical, geographical, …) and various sources of biomass (forest, agricultural, husbandry, municipal and industrial residues, shrublands, used vegetable oil and energy crops) to determine the bioenergy potential of the study area, as well as their spatial distribution. By allying GIS with multi-criteria decision analysis, the initial table-like information of difficult comprehension is transformed into tangible and easy to read results: both intermediate and final results of the created models will facilitate the decision making process. General results show that the major contributors for the bioenergy potential in the Centre Region of Portugal are forest residues, which are mostly located in the inner region of the study area. However, a more detailed analysis should be made to analyze the viability to use energy crops. As a main conclusion, we can say that, although this region may not use only this type of energy to be completely

  15. Regional land salinization assessment and simulation through cellular automaton-Markov modeling and spatial pattern analysis.

    PubMed

    Zhou, De; Lin, Zhulu; Liu, Liming

    2012-11-15

    Land salinization and desalinization are complex processes affected by both biophysical and human-induced driving factors. Conventional approaches of land salinization assessment and simulation are either too time consuming or focus only on biophysical factors. The cellular automaton (CA)-Markov model, when coupled with spatial pattern analysis, is well suited for regional assessments and simulations of salt-affected landscapes since both biophysical and socioeconomic data can be efficiently incorporated into a geographic information system framework. Our hypothesis set forth that the CA-Markov model can serve as an alternative tool for regional assessment and simulation of land salinization or desalinization. Our results suggest that the CA-Markov model, when incorporating biophysical and human-induced factors, performs better than the model which did not account for these factors when simulating the salt-affected landscape of the Yinchuan Plain (China) in 2009. In general, the CA-Markov model is best suited for short-term simulations and the performance of the CA-Markov model is largely determined by the availability of high-quality, high-resolution socioeconomic data. The coupling of the CA-Markov model with spatial pattern analysis provides an improved understanding of spatial and temporal variations of salt-affected landscape changes and an option to test different soil management scenarios for salinity management.

  16. [GENOTYPING OF THE BURKHOLDERIA MALLEI STRAINS BASED ON DIFFERENT REGION ANALYSIS].

    PubMed

    Bondareva, O S; Savchenko, S S; Tkachenko, G A; Ledeneva, M L; Lemasova, L V; Antonov, V A

    2016-01-01

    Development of the genotyping methods of glanders agent is urgent due to its high pathogenicity, lack of effective preventive measures and threat of the use of Burkholderia mallei as a biological weapon. In this work we proposed a scheme for the typing of the B. mallei strains based on different region analysis (DFR). The choice of variable loci differentially presented in various strains of glanders agents was performed by analyzing annotated whole-genome sequences of the B. mallei strains. Primers and fluorescence probes were designed for 9 selected loci. The amplification conditions for different regions were optimized in two variants: with electrophoretic detection and hybridization-fluorescence detection in the strip format. The possibility of applying the DFR analysis to genetic characterization of strains was assessed in 14 B. mallei strains. The genetic profiles of the studied B. mallei strains revealed that the developed DFR-typing scheme was characterized by high discrimination power (Hunter-Gaston index value was 0.92), reproducibility, rapidity, easy interpretation, and applicability for epidemiological surveillance of glanders.

  17. Multiple DNA variant association analysis: Application to the insulin gene region in type I diabetes

    SciTech Connect

    Julier, C.; Delepine, M.; Lathrop, G.M. |; Villedieu, P.; Froguel, P.; Levy-Marchal, C.; Boitard, C.; Bell, J.; Danze, P.M.; Bianchi, F.

    1994-12-01

    Association and linkage studies have shown that at least one of the genetic factors involved in susceptibility to insulin-dependent diabetes mellitus (IDDM) is contained within a 4.1-kb region of the insulin gene. Sequence analysis has led to the identification of 10 DNA variants in this region that are associated with increased risk for IDDM. These variants are in strong linkage disequilibrium with each other, and previous studies have failed to distinguish between the variant(s) that cause increased susceptibility to IDDM and others that are associated with the disease because of linkage disequilibrium. To address this problem, we have undertaken a large population study of French diabetics and controls and have analyzed genotype patterns for several of the variant sites simultaneously. This has led to the identification of a subset consisting of four variants (-2733AC, -23HphI, -365VNTR, and +1140AC), at least one of which appears to be directly implicated in disease susceptibility. The multiple-DNA-variant association-analysis approach that is applied here to the problem of identifying potential susceptibility variants in IDDM is likely to be important in studies of many other multifactorial diseases.

  18. Identification of model structure for aquatic ecosystems using regionalized sensitivity analysis.

    PubMed

    Osidele, O O; Beck, M B

    2001-01-01

    The Regionalized Sensitivity Analysis (RSA) was developed in 1978, for identifying critical unknown processes in poorly defined systems, thus directing the focus of further scientific investigations. Here, we demonstrate its application to model structure identification, by ranking the constituent hypotheses and identifying the critical elements for progressive revision of the model. Our case study is Lake Oglethorpe--a small monomictic impoundment in South-eastern Georgia, USA. Recent studies indicate that the warm temperate regional climate affords an extended growing season--typically from March to October--which promotes bacterial productivity in the lake. The result is a summer food web dominated by microbial processes, in contrast to the conventional phytoplankton-dominated food chains typically observed in the cold temperate lakes of Europe and North America. Starting with a simple phytoplankton-based food web model and a qualitative definition of system behaviour, we use the RSA procedure to establish the critical role of bacteria-mediated decomposition in Lake Oglethorpe, thus justifying the inclusion of microbial processes. Further analysis reveals the importance of size-dependent selective consumption of phytoplankton and bacteria. Finally, we discuss important practical implications of this novel application of the RSA regarding sampling efficiency and statistical robustness.

  19. Analysis of spatial-temporal gene expression patterns reveals dynamics and regionalization in developing mouse brain

    PubMed Central

    Chou, Shen-Ju; Wang, Chindi; Sintupisut, Nardnisa; Niou, Zhen-Xian; Lin, Chih-Hsu; Li, Ker-Chau; Yeang, Chen-Hsiang

    2016-01-01

    Allen Brain Atlas (ABA) provides a valuable resource of spatial/temporal gene expressions in mammalian brains. Despite rich information extracted from this database, current analyses suffer from several limitations. First, most studies are either gene-centric or region-centric, thus are inadequate to capture the superposition of multiple spatial-temporal patterns. Second, standard tools of expression analysis such as matrix factorization can capture those patterns but do not explicitly incorporate spatial dependency. To overcome those limitations, we proposed a computational method to detect recurrent patterns in the spatial-temporal gene expression data of developing mouse brains. We demonstrated that regional distinction in brain development could be revealed by localized gene expression patterns. The patterns expressed in the forebrain, medullary and pontomedullary, and basal ganglia are enriched with genes involved in forebrain development, locomotory behavior, and dopamine metabolism respectively. In addition, the timing of global gene expression patterns reflects the general trends of molecular events in mouse brain development. Furthermore, we validated functional implications of the inferred patterns by showing genes sharing similar spatial-temporal expression patterns with Lhx2 exhibited differential expression in the embryonic forebrains of Lhx2 mutant mice. These analysis outcomes confirm the utility of recurrent expression patterns in studying brain development. PMID:26786896

  20. Functional analysis of the fixNOQP region of Azorhizobium caulinodans.

    PubMed Central

    Mandon, K; Kaminski, P A; Elmerich, C

    1994-01-01

    The deduced amino acid sequences of four open reading frames identified upstream of the fixGHI region in Azorhizobium caulinodans are very similar to the putative terminal oxidase complex coded by the fixNOQP operons from Rhizobium meliloti and Bradyrhizobium japonicum. The expression of the A. caulinodans fixNOQP genes, which was maximal under microaerobiosis, was positively regulated by FixK and independent of NifA. In contrast to the Fix- phenotype of B. japonicum and R. meliloti fixN mutants, an A. caulinodans fixNO-deleted mutant strain retained 50% of the nitrogenase activity of the wild type in the symbiotic state. In addition, the nitrogenase activity was scarcely reduced under free-living conditions. Analysis of membrane fractions of A. caulinodans wild-type and mutant strains suggests that the fixNOQP region encodes two proteins with covalently bound hemes, tentatively assigned to fixO and fixP. Spectral analysis showed a large decrease in the c-type cytochrome content of the fixN mutant compared with the wild type. These results provide evidence for the involvement of FixNOQP proteins in a respiratory process. The partial impairment in nitrogen fixation of the fixN mutant in planta may be due to the activity of an alternative terminal oxidase compensating for the loss of the oxidase complex encoded by fixNOQP. Images PMID:8169204

  1. [GENOTYPING OF THE BURKHOLDERIA MALLEI STRAINS BASED ON DIFFERENT REGION ANALYSIS].

    PubMed

    Bondareva, O S; Savchenko, S S; Tkachenko, G A; Ledeneva, M L; Lemasova, L V; Antonov, V A

    2016-01-01

    Development of the genotyping methods of glanders agent is urgent due to its high pathogenicity, lack of effective preventive measures and threat of the use of Burkholderia mallei as a biological weapon. In this work we proposed a scheme for the typing of the B. mallei strains based on different region analysis (DFR). The choice of variable loci differentially presented in various strains of glanders agents was performed by analyzing annotated whole-genome sequences of the B. mallei strains. Primers and fluorescence probes were designed for 9 selected loci. The amplification conditions for different regions were optimized in two variants: with electrophoretic detection and hybridization-fluorescence detection in the strip format. The possibility of applying the DFR analysis to genetic characterization of strains was assessed in 14 B. mallei strains. The genetic profiles of the studied B. mallei strains revealed that the developed DFR-typing scheme was characterized by high discrimination power (Hunter-Gaston index value was 0.92), reproducibility, rapidity, easy interpretation, and applicability for epidemiological surveillance of glanders. PMID:27183720

  2. An analysis of consanguineous marriage in the Muslim population of India at regional and state levels.

    PubMed

    Bittles, A H; Hussain, R

    2000-01-01

    Consanguineous marriage is widely favoured in a large majority of the world's Islamic populations. According to recent estimates, the resident Muslim population of India is over 100 million. However, apart from a few numerically small or geographically defined surveys, little is known about their patterns of marriage preferences since partition of the Indian Subcontinent in 1947. This study seeks to determine the prevalence and patterns of consanguineous marriages contracted among Indian Muslims at regional and state levels during the last two generations. Data from the 1992/93 Indian National Family Health Survey (NFHS) were used in the analysis. The NFHS was a nationally-representative survey of ever-married women aged 13-49 years, conducted across 25 states of India. Of the initial 9845 respondents, 8436 were included in the final weighted analysis sample. Overall, 22.0% of marriages were found to be contracted between spouses related as second cousins or closer, ranging from 15.9% in the eastern states to 32.9% in the western states of India. In all parts of the country first cousin marriages were the preferred form of consanguineous union, and in four of the five regions paternal first cousin marriages predominated. Despite predictions to the contrary, there was no evidence of a significant change in the prevalence of consanguineous unions over the course of the study period, which extended from the late 1950s to the early 1990s.

  3. Regional movement patterns of a small-bodied shark revealed by stable-isotope analysis.

    PubMed

    Munroe, S E M; Heupel, M R; Fisk, A T; Logan, M; Simpfendorfer, C A

    2015-05-01

    This study used stable-isotope analysis to define the nearshore regional residency and movements of the small-bodied Australian sharpnose shark Rhizoprionodon taylori. Plasma and muscle δ(13) C and δ(15) N of R. taylori were collected from across five embayments and compared with values of seagrass and plankton from each bay. Linear distances between adjacent bays ranged from 30 to 150 km. There was a positive geographic correlation between R. taylori tissue and environmental δ(13) C values. Populations with the highest tissue δ(15) N were collected from bays that had the highest environmental δ(15) N values. These results suggest that R. taylori did not forage more than 100 km away from their capture location within 6 months to 1 year. The successful application of isotope analysis to define R. taylori movement demonstrates that this technique may be used in addition to traditional methods to study the movement of sharks, even within similar habitats across regionally small spatial scales (<100 km). PMID:25846994

  4. An analysis of consanguineous marriage in the Muslim population of India at regional and state levels.

    PubMed

    Bittles, A H; Hussain, R

    2000-01-01

    Consanguineous marriage is widely favoured in a large majority of the world's Islamic populations. According to recent estimates, the resident Muslim population of India is over 100 million. However, apart from a few numerically small or geographically defined surveys, little is known about their patterns of marriage preferences since partition of the Indian Subcontinent in 1947. This study seeks to determine the prevalence and patterns of consanguineous marriages contracted among Indian Muslims at regional and state levels during the last two generations. Data from the 1992/93 Indian National Family Health Survey (NFHS) were used in the analysis. The NFHS was a nationally-representative survey of ever-married women aged 13-49 years, conducted across 25 states of India. Of the initial 9845 respondents, 8436 were included in the final weighted analysis sample. Overall, 22.0% of marriages were found to be contracted between spouses related as second cousins or closer, ranging from 15.9% in the eastern states to 32.9% in the western states of India. In all parts of the country first cousin marriages were the preferred form of consanguineous union, and in four of the five regions paternal first cousin marriages predominated. Despite predictions to the contrary, there was no evidence of a significant change in the prevalence of consanguineous unions over the course of the study period, which extended from the late 1950s to the early 1990s. PMID:10768421

  5. Regional land salinization assessment and simulation through cellular automaton-Markov modeling and spatial pattern analysis.

    PubMed

    Zhou, De; Lin, Zhulu; Liu, Liming

    2012-11-15

    Land salinization and desalinization are complex processes affected by both biophysical and human-induced driving factors. Conventional approaches of land salinization assessment and simulation are either too time consuming or focus only on biophysical factors. The cellular automaton (CA)-Markov model, when coupled with spatial pattern analysis, is well suited for regional assessments and simulations of salt-affected landscapes since both biophysical and socioeconomic data can be efficiently incorporated into a geographic information system framework. Our hypothesis set forth that the CA-Markov model can serve as an alternative tool for regional assessment and simulation of land salinization or desalinization. Our results suggest that the CA-Markov model, when incorporating biophysical and human-induced factors, performs better than the model which did not account for these factors when simulating the salt-affected landscape of the Yinchuan Plain (China) in 2009. In general, the CA-Markov model is best suited for short-term simulations and the performance of the CA-Markov model is largely determined by the availability of high-quality, high-resolution socioeconomic data. The coupling of the CA-Markov model with spatial pattern analysis provides an improved understanding of spatial and temporal variations of salt-affected landscape changes and an option to test different soil management scenarios for salinity management. PMID:23085467

  6. Analysis of energetic radiation associated with thunderstorms in the Ebro delta region in Spain

    NASA Astrophysics Data System (ADS)

    Fabró, Ferran; MontanyÃ, Joan; Pineda, Nicolau; Argemí, Oriol; Velde, Oscar A.; Romero, David; Soula, Serge

    2016-08-01

    The analysis of high-energy background radiation (0.1-2 MeV) enhancements during eight winter thunderstorms and five summer storms in the Ebro delta region in the northeast of Spain is presented. For the first time, high-energy radiation counts, precipitation, radar reflectivity, and very high frequency lightning detections to infer charge regions altitude have been analyzed in order to find out what produces the measured background radiation increments associated with storms. The good agreement between radar reflectivity and precipitation with increases in background radiation counts coupled with the spectrum analysis comparing rain/no rain periods suggests that radon-ion daughters play a major role in the radiation increments reported. No evidence has been found supporting that measured background radiation enhancements can be produced by storm electric fields. Finally, a single case of a high-energy radiation increase was prior to a cloud-to-ground lightning stroke, which reinforces the theory that a lower positive charge layer's existence is important for the production of Terrestrial Ground Enhancements.

  7. [Topological Conflicts in Phylogenetic Analysis of Different Regions of the Sable (Martes zibellina L.) Mitochondrial Genome].

    PubMed

    Malyarchuk, B A; Derenko, M V; Denisova, G A; Litvinov, A N

    2015-08-01

    Phylogenetic analysis of different regions of the mitochondrial genome of the sable showed the presence of several topologies of phylogenetic trees, but the most statistically significant topology is A-BC, which was obtained as a result of the analysis of the mitochondrial genome as a whole, as well as of the individual CO1, ND4, and ND5 genes. Analysis of the intergroup divergence of the mtDNA haplotypes (Dxy) indicated that the maximum Dxy values between A and BC groups were accompanied by minimum differences between B and C groups only for six genes showing the A-BC topology (12S rRNA; CO1, CO2, ND4, ND5, and CYTB). It is assumed that the topological conflicts observed in the analysis of individual sable mtDNA genes are associated with the uneven distribution of mutations along the mitochondrial genome and the mitochondrial tree. This may be due to random causes, as well as the nonuniform effect of selection. PMID:26601491

  8. Automated Classification of Usual Interstitial Pneumonia using Regional Volumetric Texture Analysis in High-Resolution CT

    PubMed Central

    Depeursinge, Adrien; Chin, Anne S.; Leung, Ann N.; Terrone, Donato; Bristow, Michael; Rosen, Glenn; Rubin, Daniel L.

    2014-01-01

    Objectives We propose a novel computational approach for the automated classification of classic versus atypical usual interstitial pneumonia (UIP). Materials and Methods 33 patients with UIP were enrolled in this study. They were classified as classic versus atypical UIP by a consensus of two thoracic radiologists with more than 15 years of experience using the American Thoracic Society evidence–based guidelines for CT diagnosis of UIP. Two cardiothoracic fellows with one year of subspecialty training provided independent readings. The system is based on regional characterization of the morphological tissue properties of lung using volumetric texture analysis of multiple detector CT images. A simple digital atlas with 36 lung subregions is used to locate texture properties, from which the responses of multi-directional Riesz wavelets are obtained. Machine learning is used to aggregate and to map the regional texture attributes to a simple score that can be used to stratify patients with UIP into classic and atypical subtypes. Results We compared the predictions based on regional volumetric texture analysis with the ground truth established by expert consensus. The area under the receiver operating characteristic curve of the proposed score was estimated to be 0.81 using a leave-one-patient-out cross-validation, with high specificity for classic UIP. The performance of our automated method was found to be similar to that of the two fellows and to the agreement between experienced chest radiologists reported in the literature. However, the errors of our method and the fellows occurred on different cases, which suggests that combining human and computerized evaluations may be synergistic. Conclusions Our results are encouraging and suggest that an automated system may be useful in routine clinical practice as a diagnostic aid for identifying patients with complex lung disease such as classic UIP, obviating the need for invasive surgical lung biopsy and its

  9. Big Cat Coalitions: A Comparative Analysis of Regional Brain Volumes in Felidae

    PubMed Central

    Sakai, Sharleen T.; Arsznov, Bradley M.; Hristova, Ani E.; Yoon, Elise J.; Lundrigan, Barbara L.

    2016-01-01

    Broad-based species comparisons across mammalian orders suggest a number of factors that might influence the evolution of large brains. However, the relationship between these factors and total and regional brain size remains unclear. This study investigated the relationship between relative brain size and regional brain volumes and sociality in 13 felid species in hopes of revealing relationships that are not detected in more inclusive comparative studies. In addition, a more detailed analysis was conducted of four focal species: lions (Panthera leo), leopards (Panthera pardus), cougars (Puma concolor), and cheetahs (Acinonyx jubatus). These species differ markedly in sociality and behavioral flexibility, factors hypothesized to contribute to increased relative brain size and/or frontal cortex size. Lions are the only truly social species, living in prides. Although cheetahs are largely solitary, males often form small groups. Both leopards and cougars are solitary. Of the four species, leopards exhibit the most behavioral flexibility, readily adapting to changing circumstances. Regional brain volumes were analyzed using computed tomography. Skulls (n = 75) were scanned to create three-dimensional virtual endocasts, and regional brain volumes were measured using either sulcal or bony landmarks obtained from the endocasts or skulls. Phylogenetic least squares regression analyses found that sociality does not correspond with larger relative brain size in these species. However, the sociality/solitary variable significantly predicted anterior cerebrum (AC) volume, a region that includes frontal cortex. This latter finding is despite the fact that the two social species in our sample, lions and cheetahs, possess the largest and smallest relative AC volumes, respectively. Additionally, an ANOVA comparing regional brain volumes in four focal species revealed that lions and leopards, while not significantly different from one another, have relatively larger AC volumes

  10. Comparative sequence analysis of a gene-dense region among closely related species of Drosophila melanogaster.

    PubMed

    Kawahara, Yoshihiro; Matsuo, Takashi; Nozawa, Masafumi; Shin-I, Tadasu; Kohara, Yuji; Aigaki, Toshiro

    2004-12-01

    Comparative sequence analysis among closely related species is essential for investigating the evolution of non-coding sequences, which evolve more rapidly than protein-coding sequences. We sequenced the cytogenetic map 56F10-16, a gene-dense region of D. simulans and D. sechellia, closely related species to D. melanogaster. About 57 kb of the genomic sequences containing 19 genes were annotated from each species according to the corresponding region of the D. melanogaster genome. The order and orientation of genes were perfectly conserved among the three species, and no transposable elements were found. The rate of nucleotide substitutions in the non-coding sequences was lower than that at the fourfold-degenerate sites, implying functional constraints in the non-coding regions. The sequence information from three closely related species, allowed us to estimate the insertions and the deletions that may have occurred in the lineages of D. simulans and D. sechellia using the D. melanogaster sequence as an outgroup. The number of deletions was twice that of insertions for the introns of D. simulans. More remarkably, the deletion outnumbered insertions by 7.5 times for the intergenic sequences of D. sechellia. These results suggest that the non-coding sequences have been shortened by deletion biases. However, the deletion bias was lower than that previously estimated for pseudogenes, suggesting that the non-coding sequences are already rich in functional elements, possibly involved in the regulation of gene expression including transcription and pre-mRNA processing. These features of non-coding sequences may be common to other gene-dense regions contributing to the compactness of the Drosophila genome.

  11. Surface Wave Analysis of Regional Earthquakes in the Eastern Rift System (Africa)

    NASA Astrophysics Data System (ADS)

    Oliva, S. J. C.; Guidarelli, M.; Ebinger, C. J.; Roecker, S. W.; Tiberi, C.

    2015-12-01

    The Northern Tanzania Divergence (NTD), the youngest part of the East African Rift System, presents the opportunity to obtain insights about the birth and early stages of rifting before it progresses to mature rifting and seafloor spreading. This region is particularly interesting because the Eastern rift splits into three arms in this area and develops in a region of thick and cold lithosphere, amid the Archaean Tanzanian craton and the Proterozoic orogenic belt (the Masai block). We analyzed about two thousand seismic events recorded by the 39 broadband stations of the CRAFTI network during its two-year deployment in the NTD area in 2013 to 2014. We present the results of surface wave tomographic inversion obtained from fundamental-mode Rayleigh waves for short periods (between 4 to 14 seconds). Group velocity dispersion curves obtained via multiple filter analysis are path-averaged and inverted to produce 0.1º x 0.1º nodal grid tomographic maps for discrete periods using a 2D generalization of the Backus and Gilbert method. To quantify our results in terms of S-wave velocity structure the average group velocity dispersion curves are then inverted, using a linearized least-squares inversion scheme, in order to obtain the shear wave velocity structure for the upper 20 km of the crust. Low velocity anomalies are observed in the region 50 km south of Lake Natron, as well as in the area of the Ngorongoro crater. The implications of our results for the local tectonics and the development of the rifting system will be discussed in light of the growing geophysical database from this region.

  12. Analysis of the seismicity in the region of Mirovo salt mine after 8 years monitoring

    NASA Astrophysics Data System (ADS)

    Dimitrova, Liliya; Solakov, Dimcho; Simeonova, Stela; Aleksandrova, Irena; Georgieva, Gergana

    2015-04-01

    Mirovo salt deposit is situated in the NE part of Bulgaria and 5 kilometers away from the town of Provadiya. The mine is in operation since 1956. The salt is produced by dilution and extraction of the brine to the surface. A system of chambers-pillars is formed within the salt body as a result of the applied technology. The mine is situated in a seismically quiet part of the state. The region is characterized with complex geological structure and several faults. During the last 3 decades a large number of small and moderate earthquakes (M<4.5) are realized in the close vicinity of the salt deposit. Local seismological network (LSN) is deployed in the region to monitor the local seismicity. It consists of 6 three component digital stations. A real-time data transfer from LSN stations to National Data Center (in Sofia) is implemented using the VPN and MAN networks of the Bulgarian Telecommunication Company. Common processing and interpretation of the data from LSN and the national seismic network is performed. Real-time and interactive data processing are performed by the Seismic Network Data Processor (SNDP) software package. More than 700 earthquakes are registered by the LSN within 30km region around the mine during the 8 years monitoring. First we processed the data and compile a catalogue of the earthquakes occur within the studied region (30km around the salt mine). Spatial pattern of seismicity is analyzed. A large number of the seismic events occurred within the northern and north-western part of the salt body. Several earthquakes occurred in close vicinity of the mine. Concerning that the earthquakes could be tectonic and/or induced an attempt is made to find criteria to distinguish natural from induced seismicity. To characterize and distinguish the main processes active in the area we also made waveform and spectral analysis of a number of earthquakes.

  13. Regional inequalities in child malnutrition in Egypt, Jordan, and Yemen: a Blinder-Oaxaca decomposition analysis.

    PubMed

    Sharaf, Mesbah Fathy; Rashad, Ahmed Shoukry

    2016-12-01

    There is substantial evidence that on average, urban children have better health outcomes than rural children. This paper investigates the underlying factors that account for the regional disparities in child malnutrition in three Arab countries, namely; Egypt, Jordan, and Yemen. We use data on a nationally representative sample from the most recent rounds of the Demographic and Health Survey. A Blinder-Oaxaca decomposition analysis is conducted to decompose the rural-urban differences in child nutrition outcomes into two components; one that is explained by regional differences in the level of the determinants (covariate effects), and another component that is explained by differences in the effect of the determinants on the child nutritional status (coefficient effects). Results show that the under-five stunting rates are 20 % in Egypt, 46.5 % in Yemen, and 7.7 % in Jordan. The rural- urban gap in child malnutrition was minor in the case of Egypt (2.3 %) and Jordan (1.5 %), while the regional gap was significant in the case of Yemen (17.7 %). Results of the Blinder-Oaxaca decomposition show that the covariate effect is dominant in the case of Yemen while the coefficients effect dominates in the case of Jordan. Income inequality between urban and rural households explains most of the malnutrition gap. Results were robust to the different decomposition weighting schemes. By identifying the underlying factors behind the rural- urban health disparities, the findings of this paper help in designing effective intervention measures aimed at reducing regional inequalities and improving population health outcomes. PMID:27271178

  14. Region Templates: Data Representation and Management for High-Throughput Image Analysis

    PubMed Central

    Pan, Tony; Kurc, Tahsin; Kong, Jun; Cooper, Lee; Klasky, Scott; Saltz, Joel

    2015-01-01

    We introduce a region template abstraction and framework for the efficient storage, management and processing of common data types in analysis of large datasets of high resolution images on clusters of hybrid computing nodes. The region template abstraction provides a generic container template for common data structures, such as points, arrays, regions, and object sets, within a spatial and temporal bounding box. It allows for different data management strategies and I/O implementations, while providing a homogeneous, unified interface to applications for data storage and retrieval. A region template application is represented as a hierarchical dataflow in which each computing stage may be represented as another dataflow of finer-grain tasks. The execution of the application is coordinated by a runtime system that implements optimizations for hybrid machines, including performance-aware scheduling for maximizing the utilization of computing devices and techniques to reduce the impact of data transfers between CPUs and GPUs. An experimental evaluation on a state-of-the-art hybrid cluster using a microscopy imaging application shows that the abstraction adds negligible overhead (about 3%) and achieves good scalability and high data transfer rates. Optimizations in a high speed disk based storage implementation of the abstraction to support asynchronous data transfers and computation result in an application performance gain of about 1.13×. Finally, a processing rate of 11,730 4K×4K tiles per minute was achieved for the microscopy imaging application on a cluster with 100 nodes (300 GPUs and 1,200 CPU cores). This computation rate enables studies with very large datasets. PMID:26139953

  15. a Region-Based Multi-Scale Approach for Object-Based Image Analysis

    NASA Astrophysics Data System (ADS)

    Kavzoglu, T.; Yildiz Erdemir, M.; Tonbul, H.

    2016-06-01

    Within the last two decades, object-based image analysis (OBIA) considering objects (i.e. groups of pixels) instead of pixels has gained popularity and attracted increasing interest. The most important stage of the OBIA is image segmentation that groups spectrally similar adjacent pixels considering not only the spectral features but also spatial and textural features. Although there are several parameters (scale, shape, compactness and band weights) to be set by the analyst, scale parameter stands out the most important parameter in segmentation process. Estimating optimal scale parameter is crucially important to increase the classification accuracy that depends on image resolution, image object size and characteristics of the study area. In this study, two scale-selection strategies were implemented in the image segmentation process using pan-sharped Qickbird-2 image. The first strategy estimates optimal scale parameters for the eight sub-regions. For this purpose, the local variance/rate of change (LV-RoC) graphs produced by the ESP-2 tool were analysed to determine fine, moderate and coarse scales for each region. In the second strategy, the image was segmented using the three candidate scale values (fine, moderate, coarse) determined from the LV-RoC graph calculated for whole image. The nearest neighbour classifier was applied in all segmentation experiments and equal number of pixels was randomly selected to calculate accuracy metrics (overall accuracy and kappa coefficient). Comparison of region-based and image-based segmentation was carried out on the classified images and found that region-based multi-scale OBIA produced significantly more accurate results than image-based single-scale OBIA. The difference in classification accuracy reached to 10% in terms of overall accuracy.

  16. Regional inequalities in child malnutrition in Egypt, Jordan, and Yemen: a Blinder-Oaxaca decomposition analysis.

    PubMed

    Sharaf, Mesbah Fathy; Rashad, Ahmed Shoukry

    2016-12-01

    There is substantial evidence that on average, urban children have better health outcomes than rural children. This paper investigates the underlying factors that account for the regional disparities in child malnutrition in three Arab countries, namely; Egypt, Jordan, and Yemen. We use data on a nationally representative sample from the most recent rounds of the Demographic and Health Survey. A Blinder-Oaxaca decomposition analysis is conducted to decompose the rural-urban differences in child nutrition outcomes into two components; one that is explained by regional differences in the level of the determinants (covariate effects), and another component that is explained by differences in the effect of the determinants on the child nutritional status (coefficient effects). Results show that the under-five stunting rates are 20 % in Egypt, 46.5 % in Yemen, and 7.7 % in Jordan. The rural- urban gap in child malnutrition was minor in the case of Egypt (2.3 %) and Jordan (1.5 %), while the regional gap was significant in the case of Yemen (17.7 %). Results of the Blinder-Oaxaca decomposition show that the covariate effect is dominant in the case of Yemen while the coefficients effect dominates in the case of Jordan. Income inequality between urban and rural households explains most of the malnutrition gap. Results were robust to the different decomposition weighting schemes. By identifying the underlying factors behind the rural- urban health disparities, the findings of this paper help in designing effective intervention measures aimed at reducing regional inequalities and improving population health outcomes.

  17. Rational sub-division of plant trypanosomes (Phytomonas spp.) based on minicircle conserved region analysis.

    PubMed

    Sturm, Nancy R; Dollet, Michel; Lukes, Julius; Campbell, David A

    2007-09-01

    The sequences of minicircle conserved regions from various plant trypanosomatids have been determined and analyzed. The goal of this study was to add another tool to the arsenal of molecular probes for distinguishing between the different trypanosomatids occurring in plants: systemic trypanosomatids multiplying in the sap, those from the laticiferous tubes, and those developing in fruits, seeds or flowers but not in the plant itself and that are frequently considered as opportunistic insect trypanosomatids. As some plant intraphloemic trypanosomatids are the causative agents of important diseases, a clear definition of the different types of trypanosomatids is critical. The conserved region of the mitochondrial minicircle provides several specific features in a small sequence region containing three functionally elements required for minicircle replication. Trees generated from the analysis recapitulated trees drawn from analyses of isoenzymes, RAPD, and particular gene sequences, supporting the validity of the small region used in this work. Three groups of isolates were significant and in accordance with previous work. The peculiarity of phloem-restricted trypanosomatids associated with wilts of coconut and oil palm in Latin America - group H - is confirmed. In agreement with previous studies on their biological and serological properties the results highlighted this group called 'phloemicola'. It always differentiated from all other latex and fruit isolates or opportunistic trypanosomatids, like insect trypanosomatids. We can assert that phloemicola is the only well-defined taxon among all plant trypanosomatids. A group of non-pathogenic latex isolates from South American euphorbs (G), and a heterogenous group (A) including one fruit, one possible latex and one insect isolate are clearly distinct groups. The group of Mediterranean isolates from latex (D), even with a low boostrap, stood out well from other groups. The remainder of the isolates fell into a

  18. Regional biomass burning trends in India: Analysis of satellite fire data

    NASA Astrophysics Data System (ADS)

    Sahu, L. K.; Sheel, Varun; Pandey, Kumud; Yadav, Ravi; Saxena, P.; Gunthe, Sachin

    2015-10-01

    The results based on the analysis of satellite fire counts detected by the Along-Track Scanning Radiometer (ATSR) sensors over different regions of India during 1998-2009 have been presented. Generally, the activities of open biomass burning show large spatial and temporal variations in India. The highest and lowest values of monthly fire counts were detected during the periods of March-May and July-September, respectively over different regions of India. The activities of biomass burning in two central states of Madhya Pradesh and Maharashtra were the highest and together accounted for about 25-45% of total annual fire counts detected over India during the study period. However, in opposite phases, the rainfall and fire count data show strong seasonal variation. In addition to large regional and seasonal variations, the fire data also show significant year-to-year variation. The higher annual fire counts exceeding the mean of entire period by about 16% and 43% were detected during the two periods of 1998-2000 and 2007-2009, respectively. We have estimated normalized anomaly of annual fire count data which shows large positive departures from long-term mean for the years 1999, 2007, 2008 and 2009, while negative departures for the years 2002, 2003 and 2005. Consistently, the mixing ratio of carbon monoxide (CO) typical peaks during winter but extended to pre-monsoon season during extensive fire years. The annual data over the entire region of India show lesser positive trend of about 3% yr-1. The inter-annual variation of fire count over entire India follows the trend in the ENSO Precipitation Index (ESPI) but shows opposite trend to the multivariate ENSO Index (MEI).

  19. RE-ANALYSIS OF THE RADIO LUMINOSITY FUNCTION OF GALACTIC H II REGIONS

    SciTech Connect

    Paladini, R.; Noriega-Crespo, A.; Carey, S. J.; DeZotti, G.

    2009-09-10

    We have re-analyzed continuum and recombination lines radio data available in the literature in order to derive the luminosity function (LF) of Galactic H II regions. The study is performed by considering the first and fourth Galactic quadrants independently. We estimate the completeness level of the sample in the fourth quadrant at 5 Jy, and the one in the first quadrant at 2 Jy. We show that the two samples (fourth or first quadrant) include, as well as giant and supergiant H II regions, a significant number of subgiant sources. The LF is obtained, in each Galactic quadrant, with a generalized Schmidt's estimator using an effective volume derived from the observed spatial distribution of the considered H II regions. The re-analysis also takes advantage of recently published ancillary absorption data allowing to solve the distance ambiguity for several objects. A single power-law fit to the LFs retrieves a slope equal to -2.23 {+-} 0.07 (fourth quadrant) and to -1.85 {+-} 0.11 (first quadrant). We also find marginal evidence of a luminosity break at L{sub knee} = 10{sup 23.45} erg s{sup -1} Hz{sup -1} for the LF in the fourth quadrant. We convert radio luminosities into equivalent H{alpha} and Lyman continuum luminosities to facilitate comparisons with extragalactic studies. We obtain an average total H II regions Lyman continuum luminosity of 0.89 {+-} 0.23 x 10{sup 53} s{sup -1}, corresponding to 30% of the total ionizing luminosity of the Galaxy.

  20. Global and regional estimates of COPD prevalence: Systematic review and meta–analysis

    PubMed Central

    Adeloye, Davies; Chua, Stephen; Lee, Chinwei; Basquill, Catriona; Papana, Angeliki; Theodoratou, Evropi; Nair, Harish; Gasevic, Danijela; Sridhar, Devi; Campbell, Harry; Chan, Kit Yee; Sheikh, Aziz; Rudan, Igor

    2015-01-01

    Background The burden of chronic obstructive pulmonary disease (COPD) across many world regions is high. We aim to estimate COPD prevalence and number of disease cases for the years 1990 and 2010 across world regions based on the best available evidence in publicly accessible scientific databases. Methods We conducted a systematic search of Medline, EMBASE and Global Health for original, population–based studies providing spirometry–based prevalence rates of COPD across the world from January 1990 to December 2014. Random effects meta–analysis was conducted on extracted crude prevalence rates of COPD, with overall summaries of the meta–estimates (and confidence intervals) reported separately for World Health Organization (WHO) regions, the World Bank's income categories and settings (urban and rural). We developed a meta–regression epidemiological model that we used to estimate the prevalence of COPD in people aged 30 years or more. Findings Our search returned 37 472 publications. A total of 123 studies based on a spirometry–defined prevalence were retained for the review. From the meta–regression epidemiological model, we estimated about 227.3 million COPD cases in the year 1990 among people aged 30 years or more, corresponding to a global prevalence of 10.7% (95% confidence interval (CI) 7.3%–14.0%) in this age group. The number of COPD cases increased to 384 million in 2010, with a global prevalence of 11.7% (8.4%–15.0%). This increase of 68.9% was mainly driven by global demographic changes. Across WHO regions, the highest prevalence was estimated in the Americas (13.3% in 1990 and 15.2% in 2010), and the lowest in South East Asia (7.9% in 1990 and 9.7% in 2010). The percentage increase in COPD cases between 1990 and 2010 was the highest in the Eastern Mediterranean region (118.7%), followed by the African region (102.1%), while the European region recorded the lowest increase (22.5%). In 1990, we estimated about 120.9 million COPD cases

  1. Definition of the thermographic regions of interest in cycling by using a factor analysis

    NASA Astrophysics Data System (ADS)

    Priego Quesada, Jose Ignacio; Lucas-Cuevas, Angel Gabriel; Salvador Palmer, Rosario; Pérez-Soriano, Pedro; Cibrián Ortiz de Anda, Rosa M.a.

    2016-03-01

    Research in exercise physiology using infrared thermography has increased in the last years. However, the definition of the Regions of Interest (ROIs) varies strongly between studies. Therefore, the aim of this study was to use a factor analysis approach to define highly correlated groups of thermographic ROIs during a cycling test. Factor analyses were performed based on the moment of measurement and on the variation of skin temperatures as a result of the cycling exercise. 19 male participants cycled during 45 min at 50% of their individual peak power output with a cadence of 90 rpm. Infrared thermography was used to measure skin temperatures in sixteen ROIs of the trunk and lower limbs at three moments: before, immediately after and 10 min after the cycling test. Factor analyses were used to identify groups of ROIs based on the skin absolute temperatures at each moment of measurement as well as on skin temperature variations between moments. All the factor analyses performed for each moment and skin temperature variation explained more than the 80% of the variance. Different groups of ROIs were obtained when the analysis was based on the moment of measurement or on the effect of exercise on the skin temperature. Furthermore, some ROIs were grouped in the same way in both analyses (e.g. the ROIs of the trunk), whereas other regions (legs and their joints) were grouped differently in each analysis. Differences between groups of ROIs are related to their tissue composition, muscular activity and capacity of sweating. In conclusion, the resultant groups of ROIs were coherent and could help researchers to define the ROIs in future thermal studies.

  2. Analysis of surface-water data network in Kansas for effectiveness in providing regional streamflow information

    USGS Publications Warehouse

    Medina, K.D.; Tasker, Gary D.

    1985-01-01

    The surface water data network in Kansas was analyzed using generalized least squares regression for its effectiveness in providing regional streamflow information. The correlation and time-sampling error of the streamflow characteristic are considered in the generalized least squares method. Unregulated medium-flow, low-flow and high-flow characteristics were selected to be representative of the regional information that can be obtained from streamflow gaging station records for use in evaluating the effectiveness of continuing the present network stations, discontinuing some stations; and/or adding new stations. The analysis used streamflow records for all currently operated stations that were not affected by regulation and discontinued stations for which unregulated flow characteristics , as well as physical and climatic characteristics, were available. The state was divided into three network areas, western, northeastern, and southeastern Kansas, and analysis was made for three streamflow characteristics in each area, using three planning horizons. The analysis showed that the maximum reduction of sampling mean square error for each cost level could be obtained by adding new stations and discontinuing some of the present network stations. Large reductions in sampling mean square error for low-flow information could be accomplished in all three network areas, with western Kansas having the most dramatic reduction. The addition of new stations would be most beneficial for man- flow information in western Kansas, and to lesser degrees in the other two areas. The reduction of sampling mean square error for high-flow information would benefit most from the addition of new stations in western Kansas, and the effect diminishes to lesser degrees in the other two areas. Southeastern Kansas showed the smallest error reduction in high-flow information. A comparison among all three network areas indicated that funding resources could be most effectively used by

  3. Determinants of Caesarean Risk Factor in Northern Region of Bangladesh: A Multivariate Analysis

    PubMed Central

    RAHMAN, Mostafizur; AHMAD SHARIFF, Asma; SHAFIE, Aziz; SAAID, Rahmah; MD TAHIR, Rohayatimah

    2014-01-01

    Abstract Background Caesarean section (c-section) rates have been increasing dramatically in the past decades around the world. This increase has been attributed to multiple factors such as maternal, socio-demographic and institutional fac-tors. Therefore, this study examines the impact of maternal, socio-demographic and relevant characteristics on caesar-ean delivery in the northern region of Bangladesh. Methods This study is based on a total of 1142 delivery cases from four private hospitals and four public hospitals during the period of January to March 2010. The study was carried out using a cross-sectional design where data were collected by simple random sampling. In order to data analysis, first, an initial bivariate analysis was performed by the chi-square and Fisher exact test. Secondly, the risk factors which are associated with c-section identify by logistic re-gression model. Finally, a stepwise regression analysis was carried out to isolate the most influential risk factors. Results Among the 17 risk factors, nine were found significantly associated with type of delivery. Eight of the risk factors i.e. previous c-section, pregnancy-induced swollen of leg, prolonged labour, maternal education status, mater-nal age more than 25 years, low birth order, length of baby more than 45cm and irregular intake of a balanced diet remained independently significant for caesarean delivery. The value of P<0.05 was considered statistically significant. Maternal complications were found to be more significant in public hospitals than in private ones and conversely for the demographic characteristics. Conclusions The findings of this study suggested that the above factors may influence the health-seeking behaviour of women in the northern region of Bangladesh. PMID:26060675

  4. Multi-model analysis of precipitation-related climatological extremes for the Carpathian Region

    NASA Astrophysics Data System (ADS)

    Kis, Anna; Pongracz, Rita; Bartholy, Judit

    2015-04-01

    the 21st century. Before the thorough analysis of several drought- and precipitation-related climate indices (i.e., describing drought events, or intensity of precipitation exceeding different percentile-based or absolute threshold values, respectively), a percentile-based bias correction method was applied to the raw RCM output data, for which the homogenized daily gridded CarpatClim database (1961-2010) served as a reference. Absolute and relative seasonal mean changes of the climate indices are calculated for two future time periods (2021-2050 and 2071-2100) and for three subregions (i.e., Slovakia, Hungary, and Romania) within the entire Carpathian Region. According to our results, longer dry periods are estimated for the summer season, mainly in the southern parts of the domain, while precipitation intensity is likely to increase. Heavy precipitation days and high percentile values are projected to increase in the Carpathian Region, especially, in winter and autumn.

  5. Comparative structural analysis of Bru1 region homeologs in Saccharum spontaneum and S. officinarum

    DOE PAGESBeta

    Zhang, Jisen; Sharma, Anupma; Yu, Qingyi; Wang, Jianping; Li, Leiting; Zhu, Lin; Zhang, Xingtan; Chen, Youqiang; Ming, Ray

    2016-06-10

    Here, sugarcane is a major sugar and biofuel crop, but genomic research and molecular breeding have lagged behind other major crops due to the complexity of auto-allopolyploid genomes. Sugarcane cultivars are frequently aneuploid with chromosome number ranging from 100 to 130, consisting of 70-80 % S. officinarum, 10-20 % S. spontaneum, and 10 % recombinants between these two species. Analysis of a genomic region in the progenitor autoploid genomes of sugarcane hybrid cultivars will reveal the nature and divergence of homologous chromosomes. As a result, to investigate the origin and evolution of haplotypes in the Bru1 genomic regions in sugarcanemore » cultivars, we identified two BAC clones from S. spontaneum and four from S. officinarum and compared to seven haplotype sequences from sugarcane hybrid R570. The results clarified the origin of seven homologous haplotypes in R570, four haplotypes originated from S. officinarum, two from S. spontaneum and one recombinant.. Retrotransposon insertions and sequences variations among the homologous haplotypes sequence divergence ranged from 18.2 % to 60.5 % with an average of 33. 7 %. Gene content and gene structure were relatively well conserved among the homologous haplotypes. Exon splitting occurred in haplotypes of the hybrid genome but not in its progenitor genomes. Tajima's D analysis revealed that S. spontaneum hapotypes in the Bru1 genomic regions were under strong directional selection. Numerous inversions, deletions, insertions and translocations were found between haplotypes within each genome. In conclusion, this is the first comparison among haplotypes of a modern sugarcane hybrid and its two progenitors. Tajima's D results emphasized the crucial role of this fungal disease resistance gene for enhancing the fitness of this species and indicating that the brown rust resistance gene in R570 is from S. spontaneum. Species-specific InDel, sequences similarity and phylogenetic analysis of homologous genes can

  6. Immunochip analysis identifies association of the RAD50/IL13 region with human longevity.

    PubMed

    Flachsbart, Friederike; Ellinghaus, David; Gentschew, Liljana; Heinsen, Femke-Anouska; Caliebe, Amke; Christiansen, Lene; Nygaard, Marianne; Christensen, Kaare; Blanché, Hélène; Deleuze, Jean-François; Derbois, Céline; Galan, Pilar; Büning, Carsten; Brand, Stephan; Peters, Anette; Strauch, Konstantin; Müller-Nurasyid, Martina; Hoffmann, Per; Nöthen, Markus M; Lieb, Wolfgang; Franke, Andre; Schreiber, Stefan; Nebel, Almut

    2016-06-01

    Human longevity is characterized by a remarkable lack of confirmed genetic associations. Here, we report on the identification of a novel locus for longevity in the RAD50/IL13 region on chromosome 5q31.1 using a combined European sample of 3208 long-lived individuals (LLI) and 8919 younger controls. First, we performed a large-scale association study on 1458 German LLI (mean age 99.0 years) and 6368 controls (mean age 57.2 years) by targeting known immune-associated loci covered by the Immunochip. The analysis of 142 136 autosomal single nucleotide polymorphisms (SNPs) revealed an Immunochip-wide significant signal (PI mmunochip  = 7.01 × 10(-9) ) for the SNP rs2075650 in the TOMM40/APOE region, which has been previously described in the context of human longevity. To identify novel susceptibility loci, we selected 15 markers with PI mmunochip  < 5 × 10(-4) for replication in two samples from France (1257 LLI, mean age 102.4 years; 1811 controls, mean age 49.1 years) and Denmark (493 LLI, mean age 96.2 years; 740 controls, mean age 63.1 years). The association at SNP rs2706372 replicated in the French study collection and showed a similar trend in the Danish participants and was also significant in a meta-analysis of the combined French and Danish data after adjusting for multiple testing. In a meta-analysis of all three samples, rs2706372 reached a P-value of PI mmunochip+Repl  = 5.42 × 10(-7) (OR = 1.20; 95% CI = 1.12-1.28). SNP rs2706372 is located in the extended RAD50/IL13 region. RAD50 seems a plausible longevity candidate due to its involvement in DNA repair and inflammation. Further studies are needed to identify the functional variant(s) that predispose(s) to a long and healthy life. PMID:27004735

  7. Immunochip analysis identifies association of the RAD50/IL13 region with human longevity.

    PubMed

    Flachsbart, Friederike; Ellinghaus, David; Gentschew, Liljana; Heinsen, Femke-Anouska; Caliebe, Amke; Christiansen, Lene; Nygaard, Marianne; Christensen, Kaare; Blanché, Hélène; Deleuze, Jean-François; Derbois, Céline; Galan, Pilar; Büning, Carsten; Brand, Stephan; Peters, Anette; Strauch, Konstantin; Müller-Nurasyid, Martina; Hoffmann, Per; Nöthen, Markus M; Lieb, Wolfgang; Franke, Andre; Schreiber, Stefan; Nebel, Almut

    2016-06-01

    Human longevity is characterized by a remarkable lack of confirmed genetic associations. Here, we report on the identification of a novel locus for longevity in the RAD50/IL13 region on chromosome 5q31.1 using a combined European sample of 3208 long-lived individuals (LLI) and 8919 younger controls. First, we performed a large-scale association study on 1458 German LLI (mean age 99.0 years) and 6368 controls (mean age 57.2 years) by targeting known immune-associated loci covered by the Immunochip. The analysis of 142 136 autosomal single nucleotide polymorphisms (SNPs) revealed an Immunochip-wide significant signal (PI mmunochip  = 7.01 × 10(-9) ) for the SNP rs2075650 in the TOMM40/APOE region, which has been previously described in the context of human longevity. To identify novel susceptibility loci, we selected 15 markers with PI mmunochip  < 5 × 10(-4) for replication in two samples from France (1257 LLI, mean age 102.4 years; 1811 controls, mean age 49.1 years) and Denmark (493 LLI, mean age 96.2 years; 740 controls, mean age 63.1 years). The association at SNP rs2706372 replicated in the French study collection and showed a similar trend in the Danish participants and was also significant in a meta-analysis of the combined French and Danish data after adjusting for multiple testing. In a meta-analysis of all three samples, rs2706372 reached a P-value of PI mmunochip+Repl  = 5.42 × 10(-7) (OR = 1.20; 95% CI = 1.12-1.28). SNP rs2706372 is located in the extended RAD50/IL13 region. RAD50 seems a plausible longevity candidate due to its involvement in DNA repair and inflammation. Further studies are needed to identify the functional variant(s) that predispose(s) to a long and healthy life.

  8. Cloning and functional analysis of 5'-upstream region of the Pokemon gene.

    PubMed

    Yang, Yutao; Zhou, Xiaowei; Zhu, Xudong; Zhang, Chuanfu; Yang, Zhixin; Xu, Long; Huang, Peitang

    2008-04-01

    Pokemon, the POK erythroid myeloid ontogenic factor, not only regulates the expression of many genes, but also plays an important role in cell tumorigenesis. To investigate the molecular mechanism regulating expression of the Pokemon gene in humans, its 5'-upstream region was cloned and analyzed. Transient analysis revealed that the Pokemon promoter is constitutive. Deletion analysis and a DNA decoy assay indicated that the NEG-U and NEG-D elements were involved in negative regulation of the Pokemon promoter, whereas the POS-D element was mainly responsible for its strong activity. Electrophoretic mobility shift assays suggested that the NEG-U, NEG-D and POS-D elements were specifically bound by the nuclear extract from A549 cells in vitro. Mutation analysis demonstrated that cooperation of the NEG-U and NEG-D elements led to negative regulation of the Pokemon promoter. Moreover, the NEG-U and NEG-D elements needed to be an appropriate distance apart in the Pokemon promoter in order to cooperate. Taken together, our results elucidate the mechanism underlying the regulation of Pokemon gene transcription, and also define a novel regulatory sequence that may be used to decrease expression of the Pokemon gene in cancer gene therapy. PMID:18355317

  9. Cloning and functional analysis of 5'-upstream region of the Pokemon gene.

    PubMed

    Yang, Yutao; Zhou, Xiaowei; Zhu, Xudong; Zhang, Chuanfu; Yang, Zhixin; Xu, Long; Huang, Peitang

    2008-04-01

    Pokemon, the POK erythroid myeloid ontogenic factor, not only regulates the expression of many genes, but also plays an important role in cell tumorigenesis. To investigate the molecular mechanism regulating expression of the Pokemon gene in humans, its 5'-upstream region was cloned and analyzed. Transient analysis revealed that the Pokemon promoter is constitutive. Deletion analysis and a DNA decoy assay indicated that the NEG-U and NEG-D elements were involved in negative regulation of the Pokemon promoter, whereas the POS-D element was mainly responsible for its strong activity. Electrophoretic mobility shift assays suggested that the NEG-U, NEG-D and POS-D elements were specifically bound by the nuclear extract from A549 cells in vitro. Mutation analysis demonstrated that cooperation of the NEG-U and NEG-D elements led to negative regulation of the Pokemon promoter. Moreover, the NEG-U and NEG-D elements needed to be an appropriate distance apart in the Pokemon promoter in order to cooperate. Taken together, our results elucidate the mechanism underlying the regulation of Pokemon gene transcription, and also define a novel regulatory sequence that may be used to decrease expression of the Pokemon gene in cancer gene therapy.

  10. Structural and phylogenetic analysis of the rDNA intergenic spacer region of Verticillium dahliae.

    PubMed

    Papaioannou, Ioannis A; Dimopoulou, Chrysoula D; Typas, Milton A

    2013-10-01

    The nuclear ribosomal intergenic spacer (IGS) region was structurally analyzed and exploited for molecular discrimination and phylogenetic analysis of vegetative compatibility groups (VCGs) of Verticillium dahliae. A structural study of 201 available IGS sequences of the fungus was performed, and four classes of ubiquitous repetitive elements, organized in higher-order repetitive structures or composite blocks, were detected in a variable IGS subregion. This subregion was amplified from an international collection of 59 V. dahliae isolates covering all VCGs, together with nine representative V. albo-atrum and V. longisporum isolates, and sequenced. Structural and phylogenetic analyses of the sequences of this polymorphic IGS subregion were consistently informative and allowed the identification of two main lineages in V. dahliae, that is, clade I including VCGs 1A, 1B, 2A, 4B, and 3 and clade II containing VCGs 2B, 4A, and 6. Analysis of IGS sequences proved a highly suitable molecular tool for (a) rapid interspecific differentiation, (b) intraspecific discrimination among VCGs of V. dahliae, facilitating high-throughput VCG confirmation and prediction/profiling, and (c) phylogenetic analysis within and among V. dahliae VCGs.

  11. ZWD time series analysis derived from NRT data processing. A regional study of PW in Greece.

    NASA Astrophysics Data System (ADS)

    Pikridas, Christos; Balidakis, Kyriakos; Katsougiannopoulos, Symeon

    2015-04-01

    ZWD (Zenith Wet/non-hydrostatic Delay) estimates are routinely derived Near Real Time from the new established Analysis Center in the Department of Geodesy and Surveying of Aristotle University of Thessaloniki (DGS/AUT-AC), in the framework of E-GVAP (EUMETNET GNSS water vapour project) since October 2014. This process takes place on an hourly basis and yields, among else, station coordinates and tropospheric parameter estimates for a network of 90+ permanent GNSS (Global Navigation Satellite System) stations. These are distributed at the wider part of Hellenic region. In this study, temporal and spatial variability of ZWD estimates were examined, as well as their relation with coordinate series extracted from both float and fixed solution of the initial phase ambiguities. For this investigation, Bernese GNSS Software v5.2 was used for the acquisition of the 6 month dataset from the aforementioned network. For time series analysis we employed techniques such as the Generalized Lomb-Scargle periodogram and Burg's maximum entropy method due to inefficiencies of the Discrete Fourier Transform application in the test dataset. Through the analysis, interesting results for further geophysical interpretation were drawn. In addition, the spatial and temporal distributions of Precipitable Water vapour (PW) obtained from both ZWD estimates and ERA-Interim reanalysis grids were investigated.

  12. PCA Analysis of the Geomagnetic Field at Mid-Latitude Regions during High Solar Activity

    NASA Astrophysics Data System (ADS)

    Natali, Maria Paula; Meza, Amalia Margarita

    2016-07-01

    Our study is focused on the analysis of the geomagnetic variability of the H, D and Z components in the Northern hemisphere at mid-latitudes. We analyze two different local times, noon and night, recorded by 22 permanent observatories distributed over Europe and North America during a period of four years of high solar activity comprising 2000-2003. We used Principal Component Analysis (PCA) in order to identify the spatial and temporal variations of the geomagnetic field components. This technique produces a quite compact representation of the data by defining an orthonormal base derived from correlation within the data set. This helps us to identify possible causes of seasonal variations and anomalies, linking them with already observed currents. In fact, the analysis of PCA amplitudes and modes support our interpretation of the spectral and statistical features of the geomagnetic field. Using the first two modes we reconstruct more than 90% of the original signal for the European and North American region. The obtained results reconfirm the existence of a latitudinal dependence in the geomagnetic components during nighttime hours, associated with the ring current. During noon, the first mode represent the dominant component of the current originated by the ionosphere, while the second mode show the presence of a longitudinal variation at both sides of the longitudes with zero declination for Europe and North America.

  13. Spatiotemporal Filtering Using Principal Component Analysis and Karhunen-Loeve Expansion Approaches for Regional GPS Network Analysis

    NASA Technical Reports Server (NTRS)

    Dong, D.; Fang, P.; Bock, F.; Webb, F.; Prawirondirdjo, L.; Kedar, S.; Jamason, P.

    2006-01-01

    Spatial filtering is an effective way to improve the precision of coordinate time series for regional GPS networks by reducing so-called common mode errors, thereby providing better resolution for detecting weak or transient deformation signals. The commonly used approach to regional filtering assumes that the common mode error is spatially uniform, which is a good approximation for networks of hundreds of kilometers extent, but breaks down as the spatial extent increases. A more rigorous approach should remove the assumption of spatially uniform distribution and let the data themselves reveal the spatial distribution of the common mode error. The principal component analysis (PCA) and the Karhunen-Loeve expansion (KLE) both decompose network time series into a set of temporally varying modes and their spatial responses. Therefore they provide a mathematical framework to perform spatiotemporal filtering.We apply the combination of PCA and KLE to daily station coordinate time series of the Southern California Integrated GPS Network (SCIGN) for the period 2000 to 2004. We demonstrate that spatially and temporally correlated common mode errors are the dominant error source in daily GPS solutions. The spatial characteristics of the common mode errors are close to uniform for all east, north, and vertical components, which implies a very long wavelength source for the common mode errors, compared to the spatial extent of the GPS network in southern California. Furthermore, the common mode errors exhibit temporally nonrandom patterns.

  14. A global and regional stochastic analysis of near-ridge Abyssal Hill morphology

    NASA Astrophysics Data System (ADS)

    Goff, John A.

    1991-12-01

    This paper presents the results of a global and regional stochastic analysis of near-ridge abyssal hill morphology. The analysis includes the use of Sea Beam data for the estimation of stochastic parameters up to order 4. These parameters provide important quantitative physical information regarding abyssal hills, including their rms height, azimuthal orientation, characteristic width, aspect ratio, Hausdorff dimension, skewness, tilt, and peakiness. The global data set consists of 64 Sea Beam swaths near the Rivera, Cocos, and Nazca spreading sections of the East Pacific Rise, the Mid-Atlantic Ridge, and the Central Indian Ridge. In one form of analysis, the parameters are averaged among spreading rate bins. Each of the spreading rate subsets can be identified as unique from the others in at least one aspect The slowest spreading rate subset (Mid-Atlantic data) exhibit the largest scales (rms height and characteristic width and length) of abyssal hills. These parameters generally decrease as spreading rate increases up to the fast spreading rate data (Pacific-Cocos) but increase going from fast to very fast (Pacific-Nazca) spreading rate data. This indicates some complexity in the relationship between spreading rate and abyssal hill morphology. The plan view aspect ratio is nearly twice as large for the fast spreading rate data than for any of the other subsets and is smallest for the very fast spreading rate data. The fractal dimension is nearly identical for all spreading rate subsets. The vertical skewness is positive for the slow and medium spreading rate data, indicating larger peaks than troughs, and negative for the fast spreading rate data, indicating larger troughs than peaks. The kurtosis, or peakiness is everywhere larger than the Gaussian value of 3 and tends to be larger in the Atlantic than the Pacific. The tilting parameter provides substantial evidence indicating steeper inward facing slopes in the medium and fast spreading rate data, but only

  15. Changes in the Arctic Ocean CO2 sink (1996-2007): A regional model analysis

    NASA Astrophysics Data System (ADS)

    Manizza, M.; Follows, M. J.; Dutkiewicz, S.; Menemenlis, D.; Hill, C. N.; Key, R. M.

    2013-12-01

    The rapid recent decline of Arctic Ocean sea ice area increases the flux of solar radiation available for primary production and the area of open water for air-sea gas exchange. We use a regional physical-biogeochemical model of the Arctic Ocean, forced by the National Centers for Environmental Prediction/National Center for Atmospheric Research atmospheric reanalysis, to evaluate the mean present-day CO2 sink and its temporal evolution. During the 1996-2007 period, the model suggests that the Arctic average sea surface temperature warmed by 0.04°C a-1, that sea ice area decreased by ˜0.1 × 106 km2 a-1, and that the biological drawdown of dissolved inorganic carbon increased. The simulated 1996-2007 time-mean Arctic Ocean CO2 sink is 58 ± 6 Tg C a-1. The increase in ice-free ocean area and consequent carbon drawdown during this period enhances the CO2 sink by ˜1.4 Tg C a-1, consistent with estimates based on extrapolations of sparse data. A regional analysis suggests that during the 1996-2007 period, the shelf regions of the Laptev, East Siberian, Chukchi, and Beaufort Seas experienced an increase in the efficiency of their biological pump due to decreased sea ice area, especially during the 2004-2007 period, consistent with independently published estimates of primary production. In contrast, the CO2 sink in the Barents Sea is reduced during the 2004-2007 period due to a dominant control by warming and decreasing solubility. Thus, the effect of decreasing sea ice area and increasing sea surface temperature partially cancel, though the former is dominant.

  16. Demand-driven water withdrawals by Chinese industry: a multi-regional input-output analysis

    NASA Astrophysics Data System (ADS)

    Zhang, Bo; Chen, Z. M.; Zeng, L.; Qiao, H.; Chen, B.

    2016-03-01

    With ever increasing water demands and the continuous intensification of water scarcity arising from China's industrialization, the country is struggling to harmonize its industrial development and water supply. This paper presents a systems analysis of water withdrawals by Chinese industry and investigates demand-driven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model. In 2007, the Electric Power, Steam, and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal (DWW), and Construction has the largest embodied industrial water use (EWU). Investment, consumption, and exports contribute to 34.6%, 33.3%, and 30.6% of the national total EWU, respectively. Specifically, 58.0%, 51.1%, 48.6%, 43.3%, and 37.5% of the regional EWUs respectively in Guangdong, Shanghai, Zhejiang, Jiangsu, and Fujian are attributed to international exports. The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW, of which 55.5% is associated with the DWWs of Electric Power, Steam, and Hot Water Production and Supply. Jiangsu is the biggest interregional exporter and deficit receiver of embodied water, in contrast to Guangdong as the biggest interregional importer and surplus receiver. Without implementing effective water-saving measures and adjusting industrial structures, the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products. Steps taken to improve water use efficiency in production, and to enhance embodied water saving in consumption are both of great significance for supporting China's water policies.

  17. An integrative analysis of regional gene expression profiles in the human brain.

    PubMed

    Myers, Emma M; Bartlett, Christopher W; Machiraju, Raghu; Bohland, Jason W

    2015-02-01

    Studies of the brain's transcriptome have become prominent in recent years, resulting in an accumulation of datasets with somewhat distinct attributes. These datasets, which are often analyzed only in isolation, also are often collected with divergent goals, which are reflected in their sampling properties. While many researchers have been interested in sampling gene expression in one or a few brain areas in a large number of subjects, recent efforts from the Allen Institute for Brain Sciences and others have focused instead on dense neuroanatomical sampling, necessarily limiting the number of individual donor brains studied. The purpose of the present work is to develop methods that draw on the complementary strengths of these two types of datasets for study of the human brain, and to characterize the anatomical specificity of gene expression profiles and gene co-expression networks derived from human brains using different specific technologies. The approach is applied using two publicly accessible datasets: (1) the high anatomical resolution Allen Human Brain Atlas (AHBA, Hawrylycz et al., 2012) and (2) a relatively large sample size, but comparatively coarse neuroanatomical dataset described previously by Gibbs et al. (2010). We found a relatively high degree of correspondence in differentially expressed genes and regional gene expression profiles across the two datasets. Gene co-expression networks defined in individual brain regions were less congruent, but also showed modest anatomical specificity. Using gene modules derived from the Gibbs dataset and from curated gene lists, we demonstrated varying degrees of anatomical specificity based on two classes of methods, one focused on network modularity and the other focused on enrichment of expression levels. Two approaches to assessing the statistical significance of a gene set's modularity in a given brain region were studied, which provide complementary information about the anatomical specificity of a gene

  18. Geospatial Information Systems Analysis of Regional Environmental Change along the Savannah River Basin of Georgia

    PubMed Central

    Twumasi, Yaw A.; Merem, Edmund C.

    2008-01-01

    This paper uses remote sensing and geographic information systems (GIS); and descriptive statistics in the assessment of environmental change along the Savannah River Basin of Georgia. Results of the study show that Savannah River basin side of Georgia has been experiencing environmental change due to several decades of relentless pressure induced by anthropocentric activities and host of other socio-economic factors. Normalized Difference Vegetation Index (NDVI) analysis of the area also shows a decline in vegetation cover. The pace of ecological change showed some variations across time and space. Generally, the results point to a decline in water bodies, vegetation, and increase in population, loss of harvested cropland, farms and increasing threats to the environmental systems of the region. PMID:18441406

  19. [Analysis of the prevalence of psychic disorders in the metropolitan region of Recife].

    PubMed

    Paixão, Cíntia; Matias, Daniele; Alencar, Izabel; Nunes, Marina; Sales, Patrícia; Veiga, Paulo Henrique Altran

    2009-01-01

    Mental health is a state of well-being, in which the individual is aware of its capacities, capable of coping with the ordinary stress of everyday life, of working productively and of functioning in society. The purpose of the present work is a quantitative analysis of the prevalence of psychic disorders, using references such as sex, age, kind of disorder and care delivered to the carriers. Social assistants of three psychiatric hospitals of the Metropolitan Region of Recife - the Psychiatric Hospital Ulysses Pernambucano, the Nucleus for Psychosocial Care of Pernambuco (NAPPE) and the Hospital Colony Alcides Codeceira - answered an adapted version of the Self Reporting Questionnaire (SRQ-20). The results showed a higher incidence of disorders in women in the age group between 41 and 60 years. Schizophrenia was the most frequently observed kind of mental disorder. Among the different treatments offered were drug therapy and individual and group therapy, the latter showing better results.

  20. [Analysis of the prevalence of psychic disorders in the metropolitan region of Recife].

    PubMed

    Paixão, Cíntia; Matias, Daniele; Alencar, Izabel; Nunes, Marina; Sales, Patrícia; Veiga, Paulo Henrique Altran

    2009-01-01

    Mental health is a state of well-being, in which the individual is aware of its capacities, capable of coping with the ordinary stress of everyday life, of working productively and of functioning in society. The purpose of the present work is a quantitative analysis of the prevalence of psychic disorders, using references such as sex, age, kind of disorder and care delivered to the carriers. Social assistants of three psychiatric hospitals of the Metropolitan Region of Recife - the Psychiatric Hospital Ulysses Pernambucano, the Nucleus for Psychosocial Care of Pernambuco (NAPPE) and the Hospital Colony Alcides Codeceira - answered an adapted version of the Self Reporting Questionnaire (SRQ-20). The results showed a higher incidence of disorders in women in the age group between 41 and 60 years. Schizophrenia was the most frequently observed kind of mental disorder. Among the different treatments offered were drug therapy and individual and group therapy, the latter showing better results. PMID:19142330

  1. Numerical analysis of thermogravitational turbulent convection in a closed rectangular region with radiation source of energy

    NASA Astrophysics Data System (ADS)

    Kuznetsov, G. V.; Nee, A. E.

    2016-05-01

    The mathematical modeling of the conjugate heat transfer in a closed rectangular region has been carried out under the conditions of the radiation supply of energy. The temperature and stream function fields obtained by the modeling illustrate a substantially unsteady nature of the conjugate heat exchange process under study. An analysis of temperature distributions in typical cross sections of the solution domain has shown a considerable inhomogeneity of the temperature field. It is found that an increase in the Rayleigh number leads to substantial modifications of the temperature and stream function fields. The influence of the distribution of radiation fluxes over the internal interfaces on the temperature fields and the airflow character is shown. The influence of the turbulization on the heat transfer intensity near the interfaces between media has been estimated. Comparisons of the obtained numerical results with experimental data have shown their good agreement.

  2. Imaging and PDA analysis of a GDI spray in the near-nozzle region

    NASA Astrophysics Data System (ADS)

    Wigley, Graham; Goodwin, Martin; Pitcher, Graham; Blondel, Damien

    This paper describes a combined LDA, PDA and imaging analysis of the pressure swirl spray in the near-nozzle region of a GDI injector. This innovative approach in the use of multiple, complementary diagnostics facilitates the interpretation of a complex spray flow field. The LDA and PDA data were ensemble-averaged into time bins to produce comprehensive time-history and spatial profiles of liquid velocity, droplet velocity and size and the sample number. They indicated times at which the spray exhibited seven different characteristics. These were identified as: (a) pre-swirl spray, (b) spray cone develops, (c) spray cone relaxes, (d) maximum velocity in spray cone, (e) fully developed steady state, (f) spray cone collapses and (g) the spray detaches from the nozzle. The most effective method to present the spatial and temporal development of the spray was to superimpose the velocity vector and drop size field plots onto the spray images.

  3. Regional flow and deformation analysis of Basin-fill aquifer systems using stress-dependent parameters.

    PubMed

    Preisig, Giona; Cornaton, Fabien Joel; Perrochet, Pierre

    2014-01-01

    Changes in effective stress due to water pressure variations modify the intrinsic hydrodynamic properties of aquifers and aquitards. Overexploited groundwater systems, such as basins with heavy pumping, are subject to nonrecoverable modifications. This results in loss of permeability, porosity, and specific storage due to system consolidation. This paper presents (1) the analytical development of model functions relating effective stress to hydrodynamic parameters for aquifers and aquitards constituted of unconsolidated granular sediments, and (2) a modeling approach for the analysis of aquifer systems affected by effective stress variations, taking into account the aforementioned dependency. The stress-dependent functions were fit to laboratory data, and used in the suggested modeling approach. Based on only few unknowns, this approach is computationally simple, efficiently captures the hydromechanical processes that are active in regional aquifer systems under stress, and readily provides an estimate of their consolidation. PMID:23448260

  4. Engineering graduates' skill sets in the MENA region: a gap analysis of industry expectations and satisfaction

    NASA Astrophysics Data System (ADS)

    Ramadi, Eric; Ramadi, Serge; Nasr, Karim

    2016-01-01

    This study explored gaps between industry expectations and perceptions of engineering graduates' skill sets in the Middle East and North Africa (MENA) region. This study measured the importance that managers of engineers placed on 36 skills relevant to engineers. Also measured was managers' satisfaction with engineering graduates' skill sets. Importance and satisfaction were used to calculate skill gaps for each skill. A principal components analysis was then performed, consolidating the 36 skills into 8 categories. The means of importance, satisfaction, and skill gaps were ranked to determine the areas in which graduates needed improvement. Results showed significant gaps between managers' expectations of and satisfaction with all 36 skills. The areas in which managers felt that graduates needed most improvement were communication, time management, and continuous learning. Managers reported that recent engineering graduates exhibited low overall preparedness for employment. These findings may help to inform curricular reform in engineering education.

  5. D-region blunt probe data analysis using hybrid computer techniques

    NASA Technical Reports Server (NTRS)

    Burkhard, W. J.

    1973-01-01

    The feasibility of performing data reduction techniques with a hybrid computer was studied. The data was obtained from the flight of a parachute born probe through the D-region of the ionosphere. A presentation of the theory of blunt probe operation is included with emphasis on the equations necessary to perform the analysis. This is followed by a discussion of computer program development. Included in this discussion is a comparison of computer and hand reduction results for the blunt probe launched on 31 January 1972. The comparison showed that it was both feasible and desirable to use the computer for data reduction. The results of computer data reduction performed on flight data acquired from five blunt probes are also presented.

  6. Genetic diversity analysis of barley landraces and cultivars in the Shanghai region of China.

    PubMed

    Chen, Z-W; Lu, R-J; Zou, L; Du, Z-Z; Gao, R-H; He, T; Huang, J-H

    2012-01-01

    We analyzed the genetic diversity of 115 barley germplasms, including 112 landraces and three new barley cultivars grown in the Shanghai region, using a set of 11 SSR markers. Sixty-six alleles were observed at the 11 SSR loci, ranged from three to ten, with a mean of six alleles per locus. The polymorphism information content ranged from 0.568 to 0.853, with a mean of 0.732, indicating considerable genetic variation in barley in the Shanghai area. Clustering analysis indicated that these barley accessions could be divided into two categories (A and B). Ninety-seven six-rowed barley cultivars were classified in the A category; sixteen two-rowed and two six-rowed barley cultivars were classified in the B category. This demonstrated genetic differences between two-rowed and six-rowed barley varieties. In addition, we found that the three new barley cultivars are closely related. PMID:22535400

  7. Large-scale data analysis of power grid resilience across multiple US service regions

    NASA Astrophysics Data System (ADS)

    Ji, Chuanyi; Wei, Yun; Mei, Henry; Calzada, Jorge; Carey, Matthew; Church, Steve; Hayes, Timothy; Nugent, Brian; Stella, Gregory; Wallace, Matthew; White, Joe; Wilcox, Robert

    2016-05-01

    Severe weather events frequently result in large-scale power failures, affecting millions of people for extended durations. However, the lack of comprehensive, detailed failure and recovery data has impeded large-scale resilience studies. Here, we analyse data from four major service regions representing Upstate New York during Super Storm Sandy and daily operations. Using non-stationary spatiotemporal random processes that relate infrastructural failures to recoveries and cost, our data analysis shows that local power failures have a disproportionally large non-local impact on people (that is, the top 20% of failures interrupted 84% of services to customers). A large number (89%) of small failures, represented by the bottom 34% of customers and commonplace devices, resulted in 56% of the total cost of 28 million customer interruption hours. Our study shows that extreme weather does not cause, but rather exacerbates, existing vulnerabilities, which are obscured in daily operations.

  8. Microscopic analysis of nuclear quantum phase transitions in the N{approx_equal}90 region

    SciTech Connect

    Li, Z. P.; Niksic, T.; Vretenar, D.; Meng, J.; Lalazissis, G. A.; Ring, P.

    2009-05-15

    The analysis of shape transitions in Nd isotopes, based on the framework of relativistic energy-density functionals and restricted to axially symmetric shapes in T. Niksic, D. Vretenar, G. A. Lalazissis, and P. Ring [Phys. Rev. Lett. 99, 092502 (2007)], is extended to the region Z=60,62,64 with N{approx_equal}90 and includes both {beta} and {gamma} deformations. Collective excitation spectra and transition probabilities are calculated starting from a five-dimensional Hamiltonian for quadrupole vibrational and rotational degrees of freedom, with parameters determined by constrained self-consistent relativistic mean-field calculations for triaxial shapes. The results reproduce available data and show that there is an abrupt change of structure at N=90 that can be approximately characterized by the X(5) analytic solution at the critical point of the first-order quantum phase transition between spherical and axially deformed shapes.

  9. Geospatial information systems analysis of regional environmental change along the Savannah River Basin of Georgia.

    PubMed

    Twumasi, Yaw A; Merem, Edmund C

    2008-03-01

    This paper uses remote sensing and geographic information systems (GIS); and descriptive statistics in the assessment of environmental change along the Savannah River Basin of Georgia. Results of the study show that Savannah River basin side of Georgia has been experiencing environmental change due to several decades of relentless pressure induced by anthropocentric activities and host of other socio-economic factors. Normalized Difference Vegetation Index (NDVI) analysis of the area also shows a decline in vegetation cover. The pace of ecological change showed some variations across time and space. Generally, the results point to a decline in water bodies, vegetation, and increase in population, loss of harvested cropland, farms and increasing threats to the environmental systems of the region.

  10. Analysis of Glacial Change in the Northern Antarctic Peninsula Region Using Photogrammetry

    NASA Astrophysics Data System (ADS)

    Vargas, W.; Arkle, J.; Devillier, K.; Neely, N.; Velasco, A. A.

    2009-05-01

    Clearly and robustly documenting global climate change over this past century remains a key goal for researchers. Polar regions are an ideal place to study change, since they are particularly sensitive to temperature changes. As part of an International Polar Year (IPY) grant called IPY-ROAM (Research and Educational Opportunities in Antarctica for Minorities), faculty at the University of Texas at El Paso (UTEP) took 29 underrepresented minority students and teachers on a research expedition to Antarctica over winter break 2007. One goal of the program was to document glacial change along the Antarctic Peninsula over the past century using photogrammetry, a technique that uses photos to make accurate geographic measurements. Prior to embarkation, we gathered historic photos of glaciers along our travel route. During the expedition, new photos were taken within the old photo sites, where we made Global Positioning System (GPS) readings and accurately measurement angles to the geographic features. The geographic features (including top and bottom of a glacier) were then mapped onto a Geographical Information Systems (GIS) that allowed us to determine location, scale and distance to these features on the photos. With the angle and distance, the height difference between the old and current photo of the glacier was calculated using basic trigonometric functions. In one case, we determined a 14 m reduction in glacier height from 1934 to 2007. Future work will include analysis from more glaciers in the region, and to determine if there is a correlation between glacier retreat and climate change. ROAM/index.html

  11. Description of data files compiled for the Central Midwest Regional Aquifer-System Analysis

    USGS Publications Warehouse

    Helgesen, John O.; Hansen, Cristi V.

    1989-01-01

    Several types of geologic and hydrologic data were collected and compiled as part of the Central Midwest Regional Aquifer-System Analysis. The study described the hydrology of Cambrian-age through Cretaceous-age rocks in all of Kansas and Nebraska and parts of eight other states. Information from both water wells and petroleum wells was obtained from numerous State, Federal, and private sources. The completeness, quality, and distribution of the data varies considerably. Most data files contain data selected to represent the regional scope of the study. The log data file contains about 850 lithologic logs and about 750 geophysical logs. The hydraulic-head data file contains about 1 ,400 measured water levels and about 2,600 values of equivalent freshwater head derived from drill-stem-test analyses. The hydrochemical data file contains about 2,900 water quality analyses. The aquifer-property data file contains about 1,050 values. In addition to site-specific data, areal information in the form of model-data arrays is available for initial hydraulic head, transmissivity, and vertical leakance. These data describe the major geohydrologic units studied in terms of a three-dimensional grid, 28 rows x 33 columns x 5 layers. Parts of the hydraulic-head, hydrochemical, and aquifer-property data files are proprietary. The fluid-withdrawal data file was developed for study use only. Most other data described herein are available on magnetic tape from the U.S. Geological Survey in Lawrence, Kansas. (USGS)

  12. Bibliography of Regional Aquifer-System Analysis Program of the US Geological Survey, 1978-96

    USGS Publications Warehouse

    Sun, Ren Jen; Weeks, John B.; Grubb, Hayes F.

    1997-01-01

    The Regional Aquifer-System Analysis (RASA) Program of the U.S. Geological Survey was initiated in 1978 and was completed in 1995. The purpose of this program was to define the regional geohydrology and establish a framework of background information on geology, hydrology, and geochemistry of the Nation's important aquifer systems. This information is critically needed to develop an understanding of the Nation's major ground-water flow systems and to support better management of ground-water resources. Twenty-five of the Nation's major aquifer systems were studied under this program. Starting in 1988, the program devoted part of its resources to compilation of a National Ground Water Atlas that presets a comprehensive summary of the Nation's major ground-water resources. The atlas, which is designed in a graphical format supported by descriptive text, serves as a basic reference for the location, geography, geology, and hydrologic characteristics of the major aquifers in the Nation. This bibliography lists 1,105 reports that result from various studies of the program. The list of reports for each study follows a brief description of that study.

  13. Artificial neural network analysis for reliability prediction of regional runoff utilization.

    PubMed

    Lee, S C; Lin, H T; Yang, T Y

    2010-02-01

    Many factors in the reliability analysis of planning the regional rainwater utilization tank capacity need to be considered. Based on the historical daily rainfall data, the following four analyzing procedures will be conducted: the regional daily rainfall frequency, the amount of runoff, the water continuity, and the reliability. Thereafter, the suggested designed storage capacity can be obtained according to the conditions with the demand and supply reliability. By using the output data, two different types of artificial neural network models are used to build up small area rainfall-runoff supply systems for the simulation of reliability and the prediction model. They are also used for the testing of stability and learning speed assessment. Based on the result of this research, the radial basis function neural network (RBFNN) model, using the Gaussian function that has a similar trend as the nature as basic function, has better stability than using the back-propagation neural network (BPNN) model. Despite the fact that RBFNN was more reliable than BPNN, it still made a conservative estimate for the actual monitoring data. The error rate of RBFNN was still higher than the correction of BPNN 4-3-1-1. This should have significant benefit in the future application of the instantaneous prediction or the development of related intelligent instantaneous control equipment.

  14. Integrating disparate lidar datasets for a regional storm tide inundation analysis of hurricane katrina

    USGS Publications Warehouse

    Stoker, J.M.; Tyler, D.J.; Turnipseed, D.P.; Van Wilson, Jr.; Oimoen, M.J.

    2009-01-01

    Hurricane Katrina was one of the largest natural disasters in U.S. history. Due to the sheer size of the affected areas, an unprecedented regional analysis at very high resolution and accuracy was needed to properly quantify and understand the effects of the hurricane and the storm tide. Many disparate sources of lidar data were acquired and processed for varying environmental reasons by pre- and post-Katrina projects. The datasets were in several formats and projections and were processed to varying phases of completion, and as a result the task of producing a seamless digital elevation dataset required a high level of coordination, research, and revision. To create a seamless digital elevation dataset, many technical issues had to be resolved before producing the desired 1/9-arc-second (3meter) grid needed as the map base for projecting the Katrina peak storm tide throughout the affected coastal region. This report presents the methodology that was developed to construct seamless digital elevation datasets from multipurpose, multi-use, and disparate lidar datasets, and describes an easily accessible Web application for viewing the maximum storm tide caused by Hurricane Katrina in southeastern Louisiana, Mississippi, and Alabama. ?? 2009 Coastal Education and Research Foundation.

  15. Analysis of Evaporation Sources and Hydrological Cycle over the Mediterranean Region

    NASA Astrophysics Data System (ADS)

    Elizalde, A.; Jacob, D.

    2010-09-01

    Mediterranean hydrological cycle is investigated in this work. Evaporation sources climatology for precipitation is calculated and analyzed for winter and summer seasons in the period from 1961 to 2002. Air parcels are tracked backwards to assess moisture sources that contribute to local precipitation over chosen locations. The regions considered are south Europe and Mediterranean areas. High resolution datasets (25 km x 25 km) from two different climate simulations are used in this analysis. The simulations were carried out using the regional atmosphere (REMO) and ocean (MPIOM) models developed at Max Planck Institute for Meteorology. One simulation was carried out using only the atmospheric component with prescribed sea surface temperature from reanalysis data. The second simulation was performed with an atmosphere-ocean coupled version to include an active air-sea interaction in the Mediterranean Sea. Strong seasonally differences in spatial distribution and magnitude for the moisture sources are observed. In winter, when the marine evaporation is higher, the main source of evaporation is located at the sea side near the western and nortern coasts of Europe and north of the Mediterranean Sea, meanwhile in summer, the mayor moisture contribution comes from land areas and larger recycling ratio values are observed.

  16. Critical anatomic region of nasopalatine canal based on tridimensional analysis: cone beam computed tomography

    PubMed Central

    Fernández-Alonso, Ana; Antonio Suárez-Quintanilla, Juan; Muinelo-Lorenzo, Juan; Varela-Mallou, Jesús; Smyth Chamosa, Ernesto; Mercedes Suárez-Cunqueiro, María

    2015-01-01

    The study aim of this was to define the critical anatomic region of the premaxilla by evaluating dimensions of nasopalatine canal, buccal bone plate (BBP) and palatal bone plate (PBP). 230 CBCTs were selected with both, one or no upper central incisors present (+/+, −/+, −/−) and periodontal condition was evaluated. T-student test, ANOVA, Pearson´s correlation and a multivariant-linear regression model (MLRM) were used. Regarding gender, significant differences at level 1 (lower NC) were found for: buccal-palatal, transversal and sagittal NC diameters, and NC length (NCL). Regarding dental status, significant differences were found for: total BBP length (tBL) and PBP width (PW2) at level 2 (NCL midpoint). NCL was correlated with PW2, tBL, and PBP length at level 3 (foramina of Stenson level). An MLRM had a high prediction value for NCL (69.3%). Gender is related to NC dimensions. Dental status has an influence on BBP dimensions, but does not influence on NC and PBP. Periodontal condition should be evaluated for precise premaxillae analysis NC diameters at the three anatomical planes are related to each other, while NCL is related to BBP and PBP lengths. A third of premaxilla is taken up by NC, thus, establishing the critical anatomic region. PMID:26245884

  17. Deriving PWV from BDS Observations with PPP approach and Precision Analysis in China Region

    NASA Astrophysics Data System (ADS)

    Li, Min

    2014-05-01

    The precipitable water vapour (PWV) is the key parameter of the weather analysis and numerical weather prediction. And it is now widely adopted to derive PWV with the zenithtropospheric delay (ZTD) estimated from GNSS observations. The BeiDou System (BDS) now has 14 satellites in service and provides a good coverage over the China region with its GEO and IGSO constellations. In this contribution, we concentrate on PWV inversion using only BDS observations and its precision evaluation with the PANDA software developed at Wuhan University. The BDS/GPS dual-frequency dual-mode data from June 1 to September 1 2013 are collected at 8 stations in the China region. By the PPP approach, the ZTDs are estimated every 2-hour at each station using a piecewise constant model with BDS precise orbit and clock products, which are generated from the BETS(BeiDou Experiment Tracking Stations) network with 14 stations distributed globally. Then the PWVs are obtained by the conversion factor and zenith wet delays (ZWDs) retrieved from the estimated ZTDs. Firstly the PPP-inferred BDS-PWV is compared to that provided by the AERONET. And then the 3-month GPS-PWV at these 8 stations isalso estimatedin the same way, and used as reference values for BDS-PWV comparison.Their precision differences are further discussed.

  18. Molecular phylogenetic analysis of Indonesia Solanaceae based on DNA sequences of internal transcribed spacer region

    NASA Astrophysics Data System (ADS)

    Hidayat, Topik; Priyandoko, Didik; Islami, Dina Karina; Wardiny, Putri Yunitha

    2016-02-01

    Solanaceae is one of largest family in Angiosperm group with highly diverse in morphological character. In Indonesia, this group of plant is very popular due to its usefulness as food, ornamental and medicinal plants. However, investigation on phylogenetic relationship among the member of this family in Indonesia remains less attention. The purpose of this study was to evaluate the phylogenetics relationship of the family especially distributed in Indonesia. DNA sequences of Internal Transcribed Spacer (ITS) region of 19 species of Solanaceae and three species of outgroup, which belongs to family Convolvulaceae, Apocynaceae, and Plantaginaceae, were isolated, amplified, and sequenced. Phylogenetic tree analysis based on parsimony method was conducted with using data derived from the ITS-1, 5.8S, and ITS-2, separately, and the combination of all. Results indicated that the phylogenetic tree derived from the combined data established better pattern of relationship than separate data. Thus, three major groups were revealed. Group 1 consists of tribe Datureae, Cestreae, and Petunieae, whereas group 2 is member of tribe Physaleae. Group 3 belongs to tribe Solaneae. The use of the ITS region as a molecular markers, in general, support the global Solanaceae relationship that has been previously reported.

  19. Analysis of maxillofacial prosthetics at university dental hospitals in the capital region of Korea

    PubMed Central

    Lee, Jong-Ho

    2016-01-01

    PURPOSE The purpose of this study was to investigate the demographic patterns of maxillofacial prosthetic treatment to identify the characteristics and geographic distribution of patients with maxillofacial prosthetics in the capital region of Korea. MATERIALS AND METHODS This retrospective analytical multicenter study was performed by chart reviews. This study included patients who visited the department of prosthodontics at four university dental hospitals for maxillofacial prosthetic rehabilitation. Patients with facial and congenital defects or with insufficient medical data were excluded. The patients were classified into three categories based on the location of the defect. Patients' sex, age, and residential area were analyzed. Pearson's chi-square test with a significance level of 0.05 was used to analyze the variables. RESULTS Among 540 patients with maxillofacial prosthetics, there were 284 (52.59%) male patients and 256 (47.41%) female patients. The number of the patients varied greatly by hospital. Most patients were older than 70, and the most common defect was a hard palate defect. Chi-square analysis did not identify any significant differences in sex, age, and distance to hospital for any defect group (P>.05). CONCLUSION The results of this study indicated that there was imbalance in the distribution of patients with maxillofacial prosthetic among the hospitals in the capital region of Korea. Considerations on specialists and insurance policies for the improvement of maxillofacial prosthetics in Korea are required. PMID:27350859

  20. Thermal stability analysis under embankment with asphalt pavement and cement pavement in permafrost regions.

    PubMed

    Junwei, Zhang; Jinping, Li; Xiaojuan, Quan

    2013-01-01

    The permafrost degradation is the fundamental cause generating embankment diseases and pavement diseases in permafrost region while the permafrost degradation is related with temperature. Based on the field monitoring results of ground temperature along G214 Highway in high temperature permafrost regions, both the ground temperatures in superficial layer and the annual average temperatures under the embankment were discussed, respectively, for concrete pavements and asphalt pavements. The maximum depth of temperature field under the embankment for concrete pavements and asphalt pavements was also studied by using the finite element method. The results of numerical analysis indicate that there were remarkable seasonal differences of the ground temperatures in superficial layer between asphalt pavement and concrete pavement. The maximum influencing depth of temperature field under the permafrost embankment for every pavement was under the depth of 8 m. The thawed cores under both embankments have close relation with the maximum thawed depth, the embankment height, and the service time. The effective measurements will be proposed to keep the thermal stabilities of highway embankment by the results. PMID:24027444

  1. Critical anatomic region of nasopalatine canal based on tridimensional analysis: cone beam computed tomography.

    PubMed

    Fernández-Alonso, Ana; Suárez-Quintanilla, Juan Antonio; Muinelo-Lorenzo, Juan; Varela-Mallou, Jesús; Smyth Chamosa, Ernesto; Suárez-Cunqueiro, María Mercedes

    2015-01-01

    The study aim of this was to define the critical anatomic region of the premaxilla by evaluating dimensions of nasopalatine canal, buccal bone plate (BBP) and palatal bone plate (PBP). 230 CBCTs were selected with both, one or no upper central incisors present (+/+, -/+, -/-) and periodontal condition was evaluated. T-student test, ANOVA, Pearson's correlation and a multivariant-linear regression model (MLRM) were used. Regarding gender, significant differences at level 1 (lower NC) were found for: buccal-palatal, transversal and sagittal NC diameters, and NC length (NCL). Regarding dental status, significant differences were found for: total BBP length (tBL) and PBP width (PW2) at level 2 (NCL midpoint). NCL was correlated with PW2, tBL, and PBP length at level 3 (foramina of Stenson level). An MLRM had a high prediction value for NCL (69.3%). Gender is related to NC dimensions. Dental status has an influence on BBP dimensions, but does not influence on NC and PBP. Periodontal condition should be evaluated for precise premaxillae analysis NC diameters at the three anatomical planes are related to each other, while NCL is related to BBP and PBP lengths. A third of premaxilla is taken up by NC, thus, establishing the critical anatomic region. PMID:26245884

  2. Plan of study for the northern Midwest regional aquifer-system analysis

    USGS Publications Warehouse

    Steinhilber, W.L.; Young, H.L.

    1979-01-01

    Sedimentary rocks of Cambrian and Ordovician age form a major aquifer system in most of Wisconsin and Iowa, northern Illinois, northwestern Indiana, southeastern Minnesota, and northern Missouri. Many metropolitan areas depend on the aquifer for all or part of their water supplies. Declines in potentiometric head have been large in the most heavily pumped areas, most notably Chicago, Milwaukee-Waukesha, Minneapolis-St. Paul, and Des Moines. A thorough understanding of the aquifer system is needed for sound management decisions. Thus, a 4-year study of the aquifer, beginning in October 1978, is included in the U.S. Geological Survey 's program of Regional Aquifer-System Analysis. The study will evaluate the aquifer 's water-supply potential, describe its water quality, and, through computer models of the ground-water flow system, provide the means to evaluate regional aquifer response to different patterns of ground-water development. This report describes the objectives, work plan, and organization of this study. (Woodard-USGS)

  3. Adaptation of brain regions to habitat complexity: a comparative analysis in bats (Chiroptera)

    PubMed Central

    Safi, Kamran; Dechmann, Dina K. N.

    2005-01-01

    Vertebrate brains are organized in modules which process information from sensory inputs selectively. Therefore they are probably under different evolutionary pressures. We investigated the impact of environmental influences on specific brain centres in bats. We showed in a phylogenetically independent contrast analysis that the wing area of a species corrected for body size correlated with estimates of habitat complexity. We subsequently compared wing area, as an indirect measure of habitat complexity, with the size of regions associated with hearing, olfaction and spatial memory, while controlling for phylogeny and body mass. The inferior colliculi, the largest sub-cortical auditory centre, showed a strong positive correlation with wing area in echolocating bats. The size of the main olfactory bulb did not increase with wing area, suggesting that the need for olfaction may not increase during the localization of food and orientation in denser habitat. As expected, a larger wing area was linked to a larger hippocampus in all bats. Our results suggest that morphological adaptations related to flight and neuronal capabilities as reflected by the sizes of brain regions coevolved under similar ecological pressures. Thus, habitat complexity presumably influenced and shaped sensory abilities in this mammalian order independently of each other. PMID:15695209

  4. Haplotype analysis of the 4p16.3 region in Portuguese families with Huntington's disease

    PubMed Central

    Ramos, Eliana Marisa; Gillis, Tammy; Mysore, Jayalakshmi S.; Lee, Jong‐Min; Gögele, Martin; D'Elia, Yuri; Pichler, Irene; Sequeiros, Jorge; Pramstaller, Peter P.; Gusella, James F.; MacDonald, Marcy E.

    2015-01-01

    Huntington's disease (HD) is a neurodegenerative disorder characterized by involuntary choreic movements, cognitive impairment, and behavioral changes, caused by the expansion of an unstable CAG repeat in HTT. We characterized the genetic diversity of the HD mutation by performing an extensive haplotype analysis of ∼1Mb region flanking HTT in over 300 HD families of Portuguese origin. We observed that haplotype A, marked by HTT delta2642, was enriched in HD chromosomes and carried the two largest expansions reported in the Portuguese population. However, the most frequent HD haplotype B carried one of the largest (+12 CAGs) expansions, which resulted in an allele class change to full penetrance. Despite having a normal CAG distribution skewed to the higher end of the range, these two core haplotypes had similar expanded CAG repeat sizes compared to the other major core haplotypes (C and D) and there was no statistical difference in transmitted repeat instability across haplotypes. We observed a diversity of HTT region haplotypes in both normal and expanded chromosomes, representative of more than one ancestral chromosome underlying HD in Portugal, where multiple independent events on distinct chromosome 4 haplotypes have given rise to expansion into the pathogenic range. © 2015 Wiley Periodicals, Inc. PMID:25656686

  5. Geothermal direct heat use: Market potential/penetration analysis for Federal Region 9

    NASA Technical Reports Server (NTRS)

    Powell, W. (Editor); Tang, K. (Editor)

    1980-01-01

    A preliminary study was made of the potential for geothermal direct heat use in Arizona, California, Hawaii, and Nevada (Federal Region 9). An analysis was made of each state to: (1) define the resource, based on the latest available data; (2) assess the potential market growth for geothermal energy; and (3) estimate the market penetration, projected to 2020. Findings of the study include the following: (1) Potentially economical hydrothermal resources exist in all four states of the Region: however, the resource data base is largely incomplete, particularly for low to moderate temperature resources. (2) In terms of beneficial heat, the total hydrothermal resource identified so far for the four states is on the order of 43 Quads, including an estimated 34 Quads of high temperature resources which are suitable for direct as well as electrical applications. (3) In California, Hawaii, and Nevada, the industrial market sector has somewhat greater potential for penetration than the residential/commercial sector. In Arizona, however, the situation is reversed, due to the collocation of two major metropolitan areas (Phoenix and Tucson) with potential geothermal resources.

  6. Utilizing ERTS-1 imagery for tectonic analysis through study of the Bighorn Mountains region

    NASA Technical Reports Server (NTRS)

    Hoppin, R. A. (Principal Investigator)

    1973-01-01

    The author has identified the following significant results. Comparisons of imagery of three seasons, late summer-fall, winter, and spring indicate that for this region fall imagery is the best for overall geologic analysis. Winter scenes with light to moderate snow cover provide excellent topographic detail owing to snow enhancement, lower sun angle, and clarity of the atmosphere. Spring imagery has considerable reduction of tonal contrast owing to the low reflecting heavy green grass cover which subdues lithologic effects; heavy snow cover in the uplands masks topography. Mapping of geologic formations is impractical in most cases. Separation into tonal units can provide some general clues on structure. A given tonal unit can include parts of several geologic formations and different stratigraphic units can have the same tonal signature. Drainage patterns and anomalies provide the most consistent clues for detecting folds, monoclines, and homoclines. Vegetation only locally reflects lithology and structure. False color infrared 9 x 9 transparencies are the most valuable single imagery. Where these can be supplemented by U-2 color infrared for more detailed work, a tremendous amount of information is available. Adequately field checking such a large area just in one scene is the major logistic problem even in a fairly well known region.

  7. Regional investigations of soil and overburden analysis and plant uptake of metals

    USGS Publications Warehouse

    Gough, L.P.

    1984-01-01

    Regional studies on the bioavailability of metals at native and disturbed sites were conducted over the past seven years by the USGS. The work was concentrated in the Fort Union, Powder River, and Green River coal resource regions where measures of extractable metals in soils were found to have limited use in predicting metal levels in plants. Correlations between Cu, Fe, and Zn in plants and extractable (DTPA, EDTA, and oxalate) or total levels in native A- and C-horizons of soil were occasionally significant. A simple linear model is generally not adequate, however, in estimating element uptake by plants. Prediction capabilities were improved when a number of soil chemical and physical parameters were included as independent variables in a stepwise linear multiple regression analysis; however, never more than 54% of the total variability in the data was explained by the equations for these metals. Soil pH was the most important variable relating soil chemistry to plant chemistry. This relation was always positive and apparently a response to soil levels of metal carbonates and not Fe and Mn oxides. Studies that compared the metal uptake by rehabilitation species to extractable (DTPA) metal levels in mice soils produced similar results. ?? 1984 Science and Technology Letters.

  8. Thermal stability analysis under embankment with asphalt pavement and cement pavement in permafrost regions.

    PubMed

    Junwei, Zhang; Jinping, Li; Xiaojuan, Quan

    2013-01-01

    The permafrost degradation is the fundamental cause generating embankment diseases and pavement diseases in permafrost region while the permafrost degradation is related with temperature. Based on the field monitoring results of ground temperature along G214 Highway in high temperature permafrost regions, both the ground temperatures in superficial layer and the annual average temperatures under the embankment were discussed, respectively, for concrete pavements and asphalt pavements. The maximum depth of temperature field under the embankment for concrete pavements and asphalt pavements was also studied by using the finite element method. The results of numerical analysis indicate that there were remarkable seasonal differences of the ground temperatures in superficial layer between asphalt pavement and concrete pavement. The maximum influencing depth of temperature field under the permafrost embankment for every pavement was under the depth of 8 m. The thawed cores under both embankments have close relation with the maximum thawed depth, the embankment height, and the service time. The effective measurements will be proposed to keep the thermal stabilities of highway embankment by the results.

  9. Meticulously detailed eye region model and its application to analysis of facial images.

    PubMed

    Moriyama, Tsuyoshi; Kanade, Takeo; Xiao, Jing; Cohn, Jeffrey F

    2006-05-01

    We propose a system that is capable of detailed analysis of eye region images in terms of the position of the iris, degree of eyelid opening, and the shape, complexity, and texture of the eyelids. The system uses a generative eye region model that parameterizes the fine structure and motion of an eye. The structure parameters represent structural individuality of the eye, including the size and color of the iris, the width, boldness, and complexity of the eyelids, the width of the bulge below the eye, and the width of the illumination reflection on the bulge. The motion parameters represent movement of the eye, including the up-down position of the upper and lower eyelids and the 2D position of the iris. The system first registers the eye model to the input in a particular frame and individualizes it by adjusting the structure parameters. The system then tracks motion of the eye by estimating the motion parameters across the entire image sequence. Combined with image stabilization to compensate for appearance changes due to head motion, the system achieves accurate registration and motion recovery of eyes.

  10. Thermal Stability Analysis under Embankment with Asphalt Pavement and Cement Pavement in Permafrost Regions

    PubMed Central

    Jinping, Li; Xiaojuan, Quan

    2013-01-01

    The permafrost degradation is the fundamental cause generating embankment diseases and pavement diseases in permafrost region while the permafrost degradation is related with temperature. Based on the field monitoring results of ground temperature along G214 Highway in high temperature permafrost regions, both the ground temperatures in superficial layer and the annual average temperatures under the embankment were discussed, respectively, for concrete pavements and asphalt pavements. The maximum depth of temperature field under the embankment for concrete pavements and asphalt pavements was also studied by using the finite element method. The results of numerical analysis indicate that there were remarkable seasonal differences of the ground temperatures in superficial layer between asphalt pavement and concrete pavement. The maximum influencing depth of temperature field under the permafrost embankment for every pavement was under the depth of 8 m. The thawed cores under both embankments have close relation with the maximum thawed depth, the embankment height, and the service time. The effective measurements will be proposed to keep the thermal stabilities of highway embankment by the results. PMID:24027444

  11. Crystal Structure Analysis and the Identification of Distinctive Functional Regions of the Protein Elicitor Mohrip2

    PubMed Central

    Liu, Mengjie; Duan, Liangwei; Wang, Meifang; Zeng, Hongmei; Liu, Xinqi; Qiu, Dewen

    2016-01-01

    The protein elicitor MoHrip2, which was extracted from Magnaporthe oryzae as an exocrine protein, triggers the tobacco immune system and enhances blast resistance in rice. However, the detailed mechanisms by which MoHrip2 acts as an elicitor remain unclear. Here, we investigated the structure of MoHrip2 to elucidate its functions based on molecular structure. The three-dimensional structure of MoHrip2 was obtained. Overall, the crystal structure formed a β-barrel structure and showed high similarity to the pathogenesis-related (PR) thaumatin superfamily protein thaumatin-like xylanase inhibitor (TL-XI). To investigate the functional regions responsible for MoHrip2 elicitor activities, the full length and eight truncated proteins were expressed in Escherichia coli and were evaluated for elicitor activity in tobacco. Biological function analysis showed that MoHrip2 triggered the defense system against Botrytis cinerea in tobacco. Moreover, only MoHrip2M14 and other fragments containing the 14 amino acids residues in the middle region of the protein showed the elicitor activity of inducing a hypersensitive response and resistance related pathways, which were similar to that of full-length MoHrip2. These results revealed that the central 14 amino acid residues were essential for anti-pathogenic activity. PMID:27507984

  12. Crystal Structure Analysis and the Identification of Distinctive Functional Regions of the Protein Elicitor Mohrip2.

    PubMed

    Liu, Mengjie; Duan, Liangwei; Wang, Meifang; Zeng, Hongmei; Liu, Xinqi; Qiu, Dewen

    2016-01-01

    The protein elicitor MoHrip2, which was extracted from Magnaporthe oryzae as an exocrine protein, triggers the tobacco immune system and enhances blast resistance in rice. However, the detailed mechanisms by which MoHrip2 acts as an elicitor remain unclear. Here, we investigated the structure of MoHrip2 to elucidate its functions based on molecular structure. The three-dimensional structure of MoHrip2 was obtained. Overall, the crystal structure formed a β-barrel structure and showed high similarity to the pathogenesis-related (PR) thaumatin superfamily protein thaumatin-like xylanase inhibitor (TL-XI). To investigate the functional regions responsible for MoHrip2 elicitor activities, the full length and eight truncated proteins were expressed in Escherichia coli and were evaluated for elicitor activity in tobacco. Biological function analysis showed that MoHrip2 triggered the defense system against Botrytis cinerea in tobacco. Moreover, only MoHrip2M14 and other fragments containing the 14 amino acids residues in the middle region of the protein showed the elicitor activity of inducing a hypersensitive response and resistance related pathways, which were similar to that of full-length MoHrip2. These results revealed that the central 14 amino acid residues were essential for anti-pathogenic activity. PMID:27507984

  13. An analysis of scientific potential of northern Oceanus Procellarum region for sample return

    NASA Astrophysics Data System (ADS)

    Li, H.; Liu, J.; Li, C.

    2012-12-01

    We evaluate the science potential of northern Oceanus Procellarum as a candidate site for future Chang'e sample return mission. This region is characterized by relatively young basaltic lavas, estimated at approximately 2.5-3.75 Ga [e.g., 1], thus may potentially yield information on mare evolution and cratering rate not retrievable from Apollo and Lunar samples. Mons Rümker, a large (65 km diameter) volcanic edifice centered at 40.8°N 58.1°W, consists of multiple mare domes. Previous modeling suggests low effusion rates and varied lava eruption temperatures and varied degrees of crystallization for these domes [2]. Samples from Mons Rümker would provide information on its composition, eruption style, rheological properties, and evolution. In addition, Rima Sharp (46.7°N 50.5°W), a 107 km long, approximate 1 km wide rille, winds through this region. We present stratigraphical and compositional study of northern Oceanus Procellarum based on Kaguya and Chang'e 2 multispectral and image data. We will also present analysis on elevation, rock abundance and other engineering parameters of importance to landing safety. References: [1] Heisinger et al. J. Geophys. Res., 108, E7, 1-27, 2003. [2] Wöhler et al. Lunar Planet. Sci., XXXVIII, #1091, 2007.

  14. Characterizing the interaction between uranyl ion and fulvic acid using regional integration analysis (RIA) and fluorescence quenching.

    PubMed

    Zhu, Bingqi; Ryan, David K

    2016-03-01

    The development of chemometric methods has substantially improved the quantitative usefulness of the fluorescence excitation-emission matrix (EEM) in the analysis of dissolved organic matter (DOM). In this study, Regional Integration Analysis (RIA) was used to quantitatively interpret EEMs and assess fluorescence quenching behavior in order to study the binding between uranyl ion and fulvic acid. Three fulvic acids including soil fulvic acid (SFA), Oyster River fulvic acid (ORFA) and Suwannee River fulvic acid (SRFA) were used and investigated by the spectroscopic techniques. The EEM spectra obtained were divided into five regions according to fluorescence structural features and two distinct peaks were observed in region III and region V. Fluorescence quenching analysis was conducted for these two regions with the stability constants, ligand concentrations and residual fluorescence values calculated using the Ryan-Weber model. Results indicated a relatively strong binding ability between uranyl ion and fulvic acid samples at low pH (log K value varies from 4.11 to 4.67 at pH 3.50). Fluorophores in region III showed a higher binding ability with fewer binding sites than in region V. Stability constants followed the order, SFA > ORFA > SRFA, while ligand concentrations followed the reverse order, SRFA > ORFA > SFA. A comparison between RIA and Parallel Factor Analysis (PARAFAC) data treatment methods was also performed and good agreement between these two methods (less than 4% difference in log K values) demonstrates the reliability of the RIA method in this study. PMID:26736183

  15. Analysis of adenovirus early region 4-encoded polypeptides synthesized in productively infected cells.

    PubMed Central

    Cutt, J R; Shenk, T; Hearing, P

    1987-01-01

    Peptide-specific antisera were developed to analyze the products encoded by adenovirus type 5 early region 4 (E4) open reading frames 6 and 7. Reading frame 6 previously was shown to encode a 34-kilodalton polypeptide (34K polypeptide) that forms a complex with the early region 1B (E1B)-55K antigen and is required for efficient viral growth in lytic infection. Antisera that were generated recognized the E4-34K protein as well as a family of related polypeptides generated by the fusion of open reading frames 6 and 7. These polypeptides shared amino-terminal sequences with the 34K protein. Short-pulse analysis suggested that the heterogeneity observed with the 6/7 fusion products resulted from differential splicing patterns of related E4 mRNAs. An antiserum directed against the amino terminus of reading frame 6 recognized only the free form of the 34K antigen that was not associated with the E1B-55K protein. This observation allowed the determination of the stability of the free and complexed form of this polypeptide. Pulse-chase analyses demonstrated that both forms of the 34K protein had half-lives greater than 24 h, suggesting that complex formation did not result in stabilization of this gene product. The half-lives of the 6/7 fusion products were approximately 4 h. The 34K protein also was shown to have a nuclear localization within infected cells. Finally, analysis of a mutant carrying deletions in both the E4-34K and E1B-55K polypeptides indicated that the complex formed between these two proteins was a functional unit in lytic infection. Images PMID:2949089

  16. Molecular analysis of fungal populations in patients with oral candidiasis using internal transcribed spacer region.

    PubMed

    Ieda, Shinsuke; Moriyama, Masafumi; Takeshita, Toru; Takashita, Toru; Maehara, Takashi; Imabayashi, Yumi; Shinozaki, Shoichi; Tanaka, Akihiko; Hayashida, Jun-Nosuke; Furukawa, Sachiko; Ohta, Miho; Yamashita, Yoshihisa; Nakamura, Seiji

    2014-01-01

    Oral candidiasis is closely associated with changes in the oral fungal flora and is caused primarily by Candida albicans. Conventional methods of fungal culture are time-consuming and not always conclusive. However, molecular genetic analysis of internal transcribed spacer (ITS) regions of fungal rRNA is rapid, reproducible and simple to perform. In this study we examined the fungal flora in patients with oral candidiasis and investigated changes in the flora after antifungal treatment using length heterogeneity-polymerization chain reaction (LH-PCR) analysis of ITS regions. Fifty-two patients with pseudomembranous oral candidiasis (POC) and 30 healthy controls were included in the study. Fungal DNA from oral rinse was examined for fungal species diversity by LH-PCR. Fungal populations were quantified by real-time PCR and previously-unidentified signals were confirmed by nucleotide sequencing. Relationships between the oral fungal flora and treatment-resistant factors were also examined. POC patients showed significantly more fungal species and a greater density of fungi than control individuals. Sixteen fungi were newly identified. The fungal populations from both groups were composed predominantly of C. albicans, though the ratio of C. dubliniensis was significantly higher in POC patients than in controls. The diversity and density of fungi were significantly reduced after treatment. Furthermore, fungal diversity and the proportion of C. dubliniensis were positively correlated with treatment duration. These results suggest that C. dubliniensis and high fungal flora diversity might be involved in the pathogenesis of oral candidiasis. We therefore conclude that LH-PCR is a useful technique for diagnosing and assessing the severity of oral candidal infection.

  17. Statistical analysis of the horizontal divergent flow in emerging solar active regions

    SciTech Connect

    Toriumi, Shin; Hayashi, Keiji; Yokoyama, Takaaki

    2014-10-10

    Solar active regions (ARs) are thought to be formed by magnetic fields from the convection zone. Our flux emergence simulations revealed that a strong horizontal divergent flow (HDF) of unmagnetized plasma appears at the photosphere before the flux begins to emerge. In our earlier study, we analyzed HMI data for a single AR and confirmed presence of this precursor plasma flow in the actual Sun. In this paper, as an extension of our earlier study, we conducted a statistical analysis of the HDFs to further investigate their characteristics and better determine the properties. From SDO/HMI data, we picked up 23 flux emergence events over a period of 14 months, the total flux of which ranges from 10{sup 20} to 10{sup 22} Mx. Out of 23 selected events, 6 clear HDFs were detected by the method we developed in our earlier study, and 7 HDFs detected by visual inspection were added to this statistic analysis. We found that the duration of the HDF is on average 61 minutes and the maximum HDF speed is on average 3.1 km s{sup –1}. We also estimated the rising speed of the subsurface magnetic flux to be 0.6-1.4 km s{sup –1}. These values are highly consistent with our previous one-event analysis as well as our simulation results. The observation results lead us to the conclusion that the HDF is a rather common feature in the earliest phase of AR emergence. Moreover, our HDF analysis has the capability of determining the subsurface properties of emerging fields that cannot be directly measured.

  18. Joint NASA/EPA AVIRIS Analysis in the Chesapeake Bay Region: Plans and Initial Results

    NASA Technical Reports Server (NTRS)

    Johnson, Lee; Stokely, Peter; Lobitz, Brad; Shelton, Gary

    1998-01-01

    NASA's Ames Research Center is performing an AVIRIS demonstration project in conjunction with the U. S. Environmental Protection Agency (Region 3). NASA and EPA scientists have jointly defined a Study Area in eastern Virginia to include portions of the Chesapeake Bay, southern Delmarva Peninsula, and the mouths of the York and James Rivers. Several environmental issues have been identified for study. These include, by priority: 1) water constituent analysis in the Chesapeake Bay, 2) mapping of submerged aquatic vegetation in the Bay, 3) detection of vegetation stress related to Superfund sites at the Yorktown Naval Weapons Station, and 4) wetland species analysis in the York River vicinity. In support of this project, three lines of AVIRIS data were collected during the Wallops Island deployment on 17 August 1997. The remote sensing payload included AVIRIS, MODIS Airborne Simulator and an RC-10 color infrared film camera. The AVIRIS data were delivered to Ames from the JPL AVIRIS Data Facility, on 29 September 1997. Quicklook images indicate nominal data acquisition, and at the current time an atmospheric correction is being applied. Water constituent analysis of the Bay is our highest priority based on EPA interest and available collateral data, both from the surface and from other remote sensing instruments. Constituents of interest include suspended sediments, chlorophyll-a and accessory pigments, Analysis steps will include: verification of data quality, location of study sites in imagery, incorporation of relevant field data from EPA and other Chesapeake Bay cooperators, processing of imagery to show phenomenon of interest, verification of results with cooperators. By 1st quarter CY98 we plan to circulate initial results to NASA and EPA management for review. In the longer term we will finalize documentation, prepare results for publication, and complete any needed technology transfer to EPA remote sensing personnel.

  19. Regional Analysis of the Hazard Level of Glacial Lakes in the Cordillera Blanca, Peru

    NASA Astrophysics Data System (ADS)

    Chisolm, Rachel E.; Jhon Sanchez Leon, Walter; McKinney, Daene C.; Cochachin Rapre, Alejo

    2016-04-01

    The Cordillera Blanca mountain range is the highest in Peru and contains many of the world's tropical glaciers. This region is severely impacted by climate change causing accelerated glacier retreat. Secondary impacts of climate change on glacier retreat include stress on water resources and the risk of glacial lake outburst floods (GLOFs) from the many lakes that are forming and growing at the base of glaciers. A number of GLOFs originating from lakes in the Cordillera Blanca have occurred over the last century, several of which have had catastrophic impacts on cities and communities downstream. Glaciologists and engineers in Peru have been studying the lakes of the Cordillera Blanca for many years and have identified several lakes that are considered dangerous. However, a systematic analysis of all the lakes in the Cordillera Blanca has never before been attempted. Some methodologies for this type of systematic analysis have been proposed (eg. Emmer and Vilimek 2014; Wang, et al. 2011), but as yet they have only been applied to a few select lakes in the Cordillera Blanca. This study uses remotely sensed data to study all of the lakes of the Glacial Lake Inventory published by the Glaciology and Water Resources Unit of Peru's National Water Authority (UGRH 2011). The objective of this study is to assign a level of potential hazard to each glacial lake in the Cordillera Blanca and to ascertain if any of the lakes beyond those that have already been studied might pose a danger to nearby populations. A number of parameters of analysis, both quantitative and qualitative, have been selected to assess the hazard level of each glacial lake in the Cordillera Blanca using digital elevation models, satellite imagery, and glacier outlines. These parameters are then combined to come up with a preliminary assessment of the hazard level of each lake; the equation weighting each parameter draws on previously published methodologies but is tailored to the regional characteristics

  20. Population analysis of Vibrio parahaemolyticus originating from different geographical regions demonstrates a high genetic diversity

    PubMed Central

    2014-01-01

    Background Vibrio parahaemolyticus is frequently isolated from environmental and seafood samples and associated with gastroenteritis outbreakes in American, European, Asian and African countries. To distinguish between different lineages of V. parahaemolyticus various genotyping techniques have been used, incl. multilocus sequence typing (MLST). Even though some studies have already applied MLST analysis to characterize V. parahaemolyticus strain sets, these studies have been restricted to specific geographical areas (e.g. U.S. coast, Thailand and Peru), have focused exclusively on pandemic or non-pandemic pathogenic isolates or have been based on a limited strain number. Results To generate a global picture of V. parahaemolyticus genotype distribution, a collection of 130 environmental and seafood related V. parahaemolyticus isolates of different geographical origins (Sri Lanka, Ecuador, North Sea and Baltic Sea as well as German retail) was subjected to MLST analysis after modification of gyrB and recA PCRs. The V. parahaemolyticus population was composed of 82 unique Sequence Types (STs), of which 68 (82.9%) were new to the pubMLST database. After translating the in-frame nucleotide sequences into amino acid sequences, less diversity was detectable: a total of 31 different peptide Sequence Types (pSTs) with 19 (61.3%) new pSTs were generated from the analyzed isolates. Most STs did not show a global dissemination, but some were supra-regionally distributed and clusters of STs were dependent on geographical origin. On peptide level no general clustering of strains from specific geographical regions was observed, thereby the most common pSTs were found on all continents (Asia, South America and Europe) and rare pSTs were restricted to distinct countries or even geographical regions. One lineage of pSTs associated only with strains from North and Baltic Sea strains was identified. Conclusions Our study reveals a high genetic diversity in the analyzed V

  1. Floristic composition and vegetation analysis in Hail region north of central Saudi Arabia.

    PubMed

    El-Ghanim, Wafaa M; Hassan, Loutfy M; Galal, Tarek M; Badr, Abdelfattah

    2010-04-01

    In this study, 19 sites representing different habitats in Hail region were regularly visited for two years, in each site 2-5 stands were selected for investigating floristic composition and vegetation types in the area. A total of 124 species representing 34 families were recorded. The family Asteraceae is represented by the highest number of species (21 species) followed by the Poaceae (17 species) and the Brassicaceae (10 species) whereas, 15 families including Acanthaceae, Convolvulaceae, Moraceae, Nyctaginaceae and Primulaceae, are represented by a single species each. Chronological analysis of the vegetation in the area revealed the domination of Saharo-Sindian elements in the wild vegetations and of weedy species in the cultivated plots. Therophytes and chamaephytes are the dominating life forms of the vegetation spectra; therophytes represent 49.20% and chamaephytes represent 29.00% of the total species in the study area. Application of TWINISPAN and DECORANA classification and ordination techniques to the data produced seven vegetation groups. Ruderal habitats comprised two small groups A and F dominated by Phragmites australis and Imperata cylindrical (A), Euphorbia peplus and Sisymbrium irio (F), respectively. Two vegetation groups (B and G) have been recognized in the mountains and slopes dominated by Launaea mucronata, Trigonella stellata (B) and Ficus palmate and Fagonia bruguieri (G). Other two groups (C and E) inhabit the desert and mountainous wadies; these are represented by Gymnocarpos decandrus and Ochradenus baccatus (C) and Senecio glaucus subsp. coronopifolius and Rumex equisetiforme (E). On the other hand, one group (D) inhabits the cultivated plots and is represented by Plantago albicans and Rumex vesicarius, the last group also includes species restricted to the sand dune habitat of the Al-Nafud desert north of Hail city and represented by Calligonum polygonoides and Halyxolon salicornicum. The vegetation analysis indicated the invasion of

  2. Precipitation recycling in West Africa - regional modeling, evaporation tagging and atmospheric water budget analysis

    NASA Astrophysics Data System (ADS)

    Arnault, Joel; Kunstmann, Harald; Knoche, Hans-Richard

    2015-04-01

    Many numerical studies have shown that the West African monsoon is highly sensitive to the state of the land surface. It is however questionable to which extend a local change of land surface properties would affect the local climate, especially with respect to precipitation. This issue is traditionally addressed with the concept of precipitation recycling, defined as the contribution of local surface evaporation to local precipitation. For this study the West African monsoon has been simulated with the Weather Research and Forecasting (WRF) model using explicit convection, for the domain (1°S-21°N, 18°W-14°E) at a spatial resolution of 10 km, for the period January-October 2013, and using ERA-Interim reanalyses as driving data. This WRF configuration has been selected for its ability to simulate monthly precipitation amounts and daily histograms close to TRMM (Tropical Rainfall Measuring Mission) data. In order to investigate precipitation recycling in this WRF simulation, surface evaporation tagging has been implemented in the WRF source code as well as the budget of total and tagged atmospheric water. Surface evaporation tagging consists in duplicating all water species and the respective prognostic equations in the source code. Then, tagged water species are set to zero at the lateral boundaries of the simulated domain (no inflow of tagged water vapor), and tagged surface evaporation is considered only in a specified region. All the source terms of the prognostic equations of total and tagged water species are finally saved in the outputs for the budget analysis. This allows quantifying the respective contribution of total and tagged atmospheric water to atmospheric precipitation processes. The WRF simulation with surface evaporation tagging and budgets has been conducted two times, first with a 100 km2 tagged region (11-12°N, 1-2°W), and second with a 1000 km2 tagged region (7-16°N, 6°W -3°E). In this presentation we will investigate hydro

  3. Regional economic analysis of current and proposed management alternatives for Rappahannock River Valley National Wildlife Refuge

    USGS Publications Warehouse

    Koontz, Lynne; Sexton, Natalie; Donovan, Ryan

    2009-01-01

    The National Wildlife Refuge System Improvement Act of 1997 requires all units of the National Wildlife Refuge System to be managed under a Comprehensive Conservation Plan. The Comprehensive Conservation Plan must describe the desired future conditions of a refuge and provide long-range guidance and management direction to achieve refuge purposes. The Rappahannock River Valley National Wildlife Refuge (refuge) is in the process of developing a range of management goals, objectives, and strategies for the Comprehensive Conservation Plan. The Comprehensive Conservation Plan for the refuge must contain an analysis of expected effects associated with current and proposed refuge management strategies. The purpose of this study was to assess the regional economic implications associated with draft Comprehensive Conservation Plan management strategies. Special interest groups and local residents often criticize a change in refuge management, especially if there is a perceived negative impact to the local economy. Having objective data on economic impacts may show that these fears are overstated. Quite often, the extent of economic benefits a refuge provides to a local community is not fully recognized, yet at the same time the effects of negative changes is overstated. Spending associated with refuge recreational activities, such as wildlife viewing and hunting, can generate considerable tourist activity for surrounding communities. Additionally, refuge personnel typically spend considerable amounts of money purchasing supplies in local stores, repairing equipment and purchasing fuel at the local service stations, and reside and spend their salaries in the local community. For refuge Comprehensive Conservation Plan planning, a regional economic assessment provides a means of estimating how current management (no action alternative) and proposed management activities (alternatives) could affect the local economy. This type of analysis provides two critical pieces of

  4. Regional Flood Frequency Analysis using Support Vector Regression under historical and future climate

    NASA Astrophysics Data System (ADS)

    Gizaw, Mesgana Seyoum; Gan, Thian Yew

    2016-07-01

    Regional Flood Frequency Analysis (RFFA) is a statistical method widely used to estimate flood quantiles of catchments with limited streamflow data. In addition, to estimate the flood quantile of ungauged sites, there could be only a limited number of stations with complete dataset are available from hydrologically similar, surrounding catchments. Besides traditional regression based RFFA methods, recent applications of machine learning algorithms such as the artificial neural network (ANN) have shown encouraging results in regional flood quantile estimations. Another novel machine learning technique that is becoming widely applicable in the hydrologic community is the Support Vector Regression (SVR). In this study, an RFFA model based on SVR was developed to estimate regional flood quantiles for two study areas, one with 26 catchments located in southeastern British Columbia (BC) and another with 23 catchments located in southern Ontario (ON), Canada. The SVR-RFFA model for both study sites was developed from 13 sets of physiographic and climatic predictors for the historical period. The Ef (Nash Sutcliffe coefficient) and R2 of the SVR-RFFA model was about 0.7 when estimating flood quantiles of 10, 25, 50 and 100 year return periods which indicate satisfactory model performance in both study areas. In addition, the SVR-RFFA model also performed well based on other goodness-of-fit statistics such as BIAS (mean bias) and BIASr (relative BIAS). If the amount of data available for training RFFA models is limited, the SVR-RFFA model was found to perform better than an ANN based RFFA model, and with significantly lower median CV (coefficient of variation) of the estimated flood quantiles. The SVR-RFFA model was then used to project changes in flood quantiles over the two study areas under the impact of climate change using the RCP4.5 and RCP8.5 climate projections of five Coupled Model Intercomparison Project (CMIP5) GCMs (Global Climate Models) for the 2041

  5. Subpeak regional analysis of intracranial pressure waveform morphology based on cerebrospinal fluid hydrodynamics in the cerebral aqueduct and prepontine cistern.

    PubMed

    Hamilton, Robert B; Baldwin, Kevin; Vespa, Paul; Bergsneider, Marvin; Hu, Xiao

    2012-01-01

    The objective of this study is to investigate the relationship between intracranial pressure (ICP) pulse waveform morphology and selected hydrodynamic metrics of cerebrospinal fluid (CSF) movement using a novel method for ICP pulse pressure regional analysis based on the Morphological Clustering and Analysis of Continuous Intracranial Pulse (MOCAIP) algorithm.

  6. Efficiency Analysis of Basic Health Units: A Comparison of Developed and Deprived Regions in Azad Jammu and Kashmir

    PubMed Central

    Razzaq, Sadia; Ali Chaudhary, Amjad; Razzaq Khan, Abdul

    2013-01-01

    Abstract Background The current study aims to measure the efficiency of primary health care units completed in health sector of rural Azad Jammu and Kashmir (AJK) and to compare it across developed and deprived regions. Methods Operational efficiency and beneficiary efficiency of a total of 32 Basic Health Units (BHUs) were measured through Data Envelopment Analysis (DEA) by using different input and output variables. Independent sample T-test was applied to compare these efficiencies across developed and deprived regions. Results The study could find no significant difference of operational efficiency across developed and deprived regions, however a significant difference was found across regions from beneficiary perspective (P= 0.044). Conclusion The study concludes that BHUs of deprived region are more efficient from beneficiary perspective, however there is no significant difference of operational efficiency across the regions. PMID:26171334

  7. Planning report for the southwest alluvial basins (east) regional aquifer-system analysis, parts of Colorado, New Mexico, and Texas

    USGS Publications Warehouse

    Wilkins, D.W.; Scott, W.B.; Kaehler, C.A.

    1980-01-01

    The study of the Southwest alluvial basins (east) will involve an analysis of the regional aquifer system in parts of Colorado, New Mexico, and Texas. This area has been divided into 22 basins. The study of the alluvial aquifer-system will be made in the following stages: (1) project planning, (2) literature searches, (3) compiling existing data, (4) data collection, (5) basin modeling, (6) regional aquifer modeling, and (7) reports. The regional aquifer study will be accomplished through studying each of the 22 basins. Data compilation and limited data collection will be part of each basin study. Digital computer models will be made for those basins where data are sufficient. A regional aquifer model will be developed from the basin models. In addition to this report, there will be basin hydrology reports and the final regional report. Included in the final report will be a description of the regional hydrology and geology. (USGS)

  8. Fractal Analysis and the Diagnostic Usefulness of Silver Staining Nucleolar Organizer Regions in Prostate Adenocarcinoma

    PubMed Central

    Stepan, Alex; Simionescu, Cristiana; Pirici, Daniel; Ciurea, Raluca; Margaritescu, Claudiu

    2015-01-01

    Pathological diagnosis of prostate adenocarcinoma often requires complementary methods. On prostate biopsy tissue from 39 patients including benign nodular hyperplasia (BNH), atypical adenomatous hyperplasia (AAH), and adenocarcinomas, we have performed combined histochemical-immunohistochemical stainings for argyrophilic nucleolar organizer regions (AgNORs) and glandular basal cells. After ascertaining the pathology, we have analyzed the number, roundness, area, and fractal dimension of individual AgNORs or of their skeleton-filtered maps. We have optimized here for the first time a combination of AgNOR morphological denominators that would reflect best the differences between these pathologies. The analysis of AgNORs' roundness, averaged from large composite images, revealed clear-cut lower values in adenocarcinomas compared to benign and atypical lesions but with no differences between different Gleason scores. Fractal dimension (FD) of AgNOR silhouettes not only revealed significant lower values for global cancer images compared to AAH and BNH images, but was also able to differentiate between Gleason pattern 2 and Gleason patterns 3–5 adenocarcinomas. Plotting the frequency distribution of the FDs for different pathologies showed clear differences between all Gleason patterns and BNH. Together with existing morphological classifiers, AgNOR analysis might contribute to a faster and more reliable machine-assisted screening of prostatic adenocarcinoma, as an essential aid for pathologists. PMID:26366372

  9. Binary partition tree analysis based on region evolution and its application to tree simplification.

    PubMed

    Lu, Huihai; Woods, John C; Ghanbari, Mohammed

    2007-04-01

    Pyramid image representations via tree structures are recognized methods for region-based image analysis. Binary partition trees can be applied which document the merging process with small details found at the bottom levels and larger ones close to the root. Hindsight of the merging process is stored within the tree structure and provides the change histories of an image property from the leaf to the root node. In this work, the change histories are modelled by evolvement functions and their second order statistics are analyzed by using a knee function. Knee values show the reluctancy of each merge. We have systematically formulated these findings to provide a novel framework for binary partition tree analysis, where tree simplification is demonstrated. Based on an evolvement function, for each upward path in a tree, the tree node associated with the first reluctant merge is considered as a pruning candidate. The result is a simplified version providing a reduced solution space and still complying with the definition of a binary tree. The experiments show that image details are preserved whilst the number of nodes is dramatically reduced. An image filtering tool also results which preserves object boundaries and has applications for segmentation.

  10. Structure-infectivity analysis of the human rhinovirus genomic RNA 3' non-coding region.

    PubMed Central

    Todd, S; Semler, B L

    1996-01-01

    The specific recognition of genomic positive strand RNAS as templates for the synthesis of intermediate negative strands by the picornavirus replication machinery is presumably mediated by cis-acting sequences within the genomic RNA 3' non-coding region (NCR). A structure-infectivity analysis was conducted on the 44 nt human rhinovirus 14 (HRV14) 3' NCR to identify the primary sequence and/or secondary structure determinants required for viral replication. Using biochemical RNA secondary structure probing techniques, we have demonstrated the existence of a single stem-loop structure contained entirely within the 3' NCR, which appears to be phylogenetically conserved within the rhinovirus genus. We also report the in vivo analysis of a number of 3' NCR deletion mutations engineered into infectious cDNA clones which were designed to disrupt the stem-loop secondary structure to varying degrees. Large deletions (up to 37 nt) resulted in defective growth phenotypes, although they were not lethal. We propose that the absolute requirements for initiation of negative strand synthesis are less stringent than previously postulated, even though defined RNA secondary structure determinants may have evolved to facilitate and/or regulate the process of viral RNA replication. PMID:8668546

  11. Geospatial Analysis of Near-Surface Soil Moisture Time Series Data Over Indian Region

    NASA Astrophysics Data System (ADS)

    Berwal, P.; Murthy, C. S.; Raju, P. V.; Sesha Sai, M. V. R.

    2016-06-01

    The present study has developed the time series database surface soil moisture over India, for June, July and August months for the period of 20 years from 1991 to 2010, using data products generated under Climate Change Initiative Programme of European Space Agency. These three months represent the crop sowing period in the prime cropping season in the country and the soil moisture data during this period is highly useful to detect the drought conditions and assess the drought impact. The time series soil moisture data which is in 0.25 degree spatial resolution was analyzed to generate different indicators. Rainfall data of same spatial resolution for the same period, generated by India Meteorological Department was also procured and analyzed. Geospatial analysis of soil moisture and rainfall derived indicators was carried out to study (1) inter annual variability of soil moisture and rainfall, (2) soil moisture deviations from normal during prominent drought years, (3) soil moisture and rainfall correlations and (4) drought exposure based on soil moisture and rainfall variability. The study has successfully demonstrated the potential of these soil moisture time series data sets for generating regional drought surveillance information products, drought hazard mapping, drought exposure analysis and detection of drought sensitive areas in the crop planting period.

  12. Regional flood frequency analysis using spatial proximity and basin characteristics: Quantile regression vs. parameter regression technique

    NASA Astrophysics Data System (ADS)

    Ahn, Kuk-Hyun; Palmer, Richard

    2016-09-01

    Despite wide use of regression-based regional flood frequency analysis (RFFA) methods, the majority are based on either ordinary least squares (OLS) or generalized least squares (GLS). This paper proposes 'spatial proximity' based RFFA methods using the spatial lagged model (SLM) and spatial error model (SEM). The proposed methods are represented by two frameworks: the quantile regression technique (QRT) and parameter regression technique (PRT). The QRT develops prediction equations for flooding quantiles in average recurrence intervals (ARIs) of 2, 5, 10, 20, and 100 years whereas the PRT provides prediction of three parameters for the selected distribution. The proposed methods are tested using data incorporating 30 basin characteristics from 237 basins in Northeastern United States. Results show that generalized extreme value (GEV) distribution properly represents flood frequencies in the study gages. Also, basin area, stream network, and precipitation seasonality are found to be the most effective explanatory variables in prediction modeling by the QRT and PRT. 'Spatial proximity' based RFFA methods provide reliable flood quantile estimates compared to simpler methods. Compared to the QRT, the PRT may be recommended due to its accuracy and computational simplicity. The results presented in this paper may serve as one possible guidepost for hydrologists interested in flood analysis at ungaged sites.

  13. Introducing comparative analysis to the LEED system: A case forrational and regional application

    SciTech Connect

    Eijadi, David; Vaidya, Prausad; Reinertsen, James; Kumar, Satish

    2002-06-01

    The LEED(TM) system awards points for prescriptive andperformance based environmental strategies; rightly giving more weight todecisions affecting building operations, since environmental impacts overthe life of a building exceed the one-time environmental impacts affectedby the building s construction. The environmental benefits of LEED(TM)strategies are considered implicit and the point system is not a metricof environmental performance. Thus, guideline strategies that achieve thesame points may not have analogous environmental performance. This paperdraws from our LEED(TM) project experience as certified consultants to anumber of design teams. We applied analysis to those experiences andargue that -The relative environmental value of the same LEED(TM)strategy may vary by geographical region and by building type. -Scoringsuccessive LEED(TM) points beyond a 'standard practice design'significantly increases design effort and capital costs for construction.-Without comparative analysis of the costs of alternate LEED(TM)strategies and their corresponding environmental benefit, designers willnot necessarily invest capital in strategies that most profoundlyminimize the environmental impacts of a building. -For design teams andowners interested in the least expensive LEED(TM) certification, gamingthe point system could drive investment away from sound environmentalperformance strategies such as energy efficiency. Using these arguments,this paper makes a case to enhance the LEED(TM) system by -CategorizingLEED(TM) strategies by their direct or indirect value towardsEnvironmental Benefit, Healthy Buildings (Places), and Profitability.-Reformulating prescriptive requirements into performance basedrequirements wherever possible. -Customizing LEED(TM) guidelines byregion.

  14. The Gaia-ESO Survey: Dynamical analysis of the L1688 region in Ophiuchus

    NASA Astrophysics Data System (ADS)

    Rigliaco, E.; Wilking, B.; Meyer, M. R.; Jeffries, R. D.; Cottaar, M.; Frasca, A.; Wright, N. J.; Bayo, A.; Bonito, R.; Damiani, F.; Jackson, R. J.; Jiménez-Esteban, F.; Kalari, V. M.; Klutsch, A.; Lanzafame, A. C.; Sacco, G.; Gilmore, G.; Randich, S.; Alfaro, E. J.; Bragaglia, A.; Costado, M. T.; Franciosini, E.; Lardo, C.; Monaco, L.; Morbidelli, L.; Prisinzano, L.; Sousa, S. G.; Zaggia, S.

    2016-04-01

    The Gaia ESO Public Spectroscopic Survey (GES) is providing the astronomical community with high-precision measurements of many stellar parameters including radial velocities (RVs) of stars belonging to several young clusters and star-forming regions. One of the main goals of the young cluster observations is to study their dynamical evolution and provide insight into their future, revealing whether they will eventually disperse to populate the field rather than evolve into bound open clusters. In this paper we report the analysis of the dynamical state of L1688 in the ρ Ophiuchi molecular cloud using the dataset provided by the GES consortium. We performed the membership selection of the more than 300 objects observed. Using the presence of the lithium absorption and the location in the Hertzspung-Russell diagram, we identify 45 already known members and two new association members. We provide accurate RVs for all 47 confirmed members. A dynamical analysis, after accounting for unresolved binaries and errors, shows that the stellar surface population of L1688 has a velocity dispersion σ ~ 1.14 ± 0.35 km s-1 that is consistent with being in virial equilibrium and is bound with a ~80% probability. We also find a velocity gradient in the stellar surface population of ~1.0 km s-1 pc-1 in the northwest-southeast direction, which is consistent with that found for the pre-stellar dense cores, and we discuss the possibility of sequential and triggered star formation in L1688.

  15. Radiation and Thermal Analysis of Superconducting Quadrupoles in the Interaction Region of Linear Collider

    SciTech Connect

    Drozhdin, A.I.; Kashikhin, V.V.; Kashikhin, V.S.; Lopes, M.L.; Mokhov, N.V.; Zlobin, A.V.; Seryi, Andrei; /SLAC

    2011-10-14

    Radiation heat deposition in the superconducting magnets of the Interaction Region (IR) of a linear collider can be a serious issue that limits the magnet operating margins and shortens the material lifetime. Radiation and thermal analyses of the IR quadrupoles in the incoming and extraction beam lines of the ILC are performed in order to determine the magnet limits. This paper presents an analysis of the radial, azimuthal and longitudinal distributions of heat deposition in the incoming and disrupted beam doublets. Operation margins of the magnets based on NbTi superconductor are calculated and compared. The radiation and thermal analysis of the ILC IR quadrupoles based on Rutherford type cables was performed. It was found that the peak radiation heat deposition takes place in the second extraction quadrupole QFEX2. The maximum power density in the coil is {approx}17mW/g. This is rather high, comparing to the proton machines (LHC). However, the fast radial decay of the heat deposition together with the high thermal conductivity of the Rutherford type cable limits the coil temperatures to a moderate level. It was determined that both 2-layer and 4-layer QFEX2 magnet designs have thermal margins of a factor of {approx}4 at the nominal gradient of 31.3 T/m. Because of the large margins, these magnets can easily accommodate possible changes in the IR optics and heat deposition levels.

  16. Local and Regional Interactions Between Air Quality and Climate in New Delhi -- a Sector Based Analysis

    NASA Astrophysics Data System (ADS)

    Marrapu, P.; Cheng, Y.; Carmichael, G. R.; Beig, G.; Spak, S.; Lin, M.; Decker, M.; Schultz, M. G.; Winiwarter, W.

    2011-12-01

    Out of the 26 mega-cities in the world, 13 of them are affected by atmospheric brown clouds with high aerosol loadings and 5 of them are in South Asia. New Delhi (India) is one of the world's most polluted megacities. In this study we evaluate the air pollution levels in Delhi and their impacts on weather and climate. The two way interactions between pollution and meteorology are evaluated using the WRF-Chem model. The analysis period is focused on October 2010, the time period of the Commonwealth Games. The model is compared to BC and PM2.5 measurements at 11 sites. A sector based analysis is performed to assess the contributions to pollution and direct radiative forcing from transport, residential, power and industrial emissions. The contributions from emissions outside of Delhi are also evaluated to see the extent that regional emissions need to be controlled to meet air quality targets in Delhi. Results of simulations for emission scenarios generated by the GAINS model that address air quality and climate strategies are also discussed

  17. Detecting Changes of Thermal Environment over the Bohai Coastal Region by Spectral Change Vector Analysis

    NASA Astrophysics Data System (ADS)

    Hu, Y.; Jia, G.

    2009-12-01

    Change vector analysis (CVA) is an effective approach for detecting and characterizing land-cover change by comparing pairs of multi-spectral and multi-temporal datasets over certain area derived from various satellite platforms. NDVI is considered as an effective detector for biophysical changes due to its sensitivity to red and near infrared signals, while land surface temperature (LST) is considered as a valuable indicator for changes of ground thermal conditions. Here we try to apply CVA over satellite derived LST datasets to detect changes of land surface thermal properties parallel to climate change and anthropogenic influence in a city cluster since 2001. In this study, monthly land surface temperature datasets from 2001-2008 derived from MODIS collection 5 were used to examine change pattern of thermal environment over the Bohai coastal region by using spectral change vector analysis. The results from principle component analysis (PCA) for LST show that the PC 1-3 contain over 80% information on monthly variations and these PCA components represent the main processes of land thermal environment change over the study area. Time series of CVA magnitude combined with land cover information show that greatest change occurred in urban and heavily populated area, featured with expansion of urban heat island, while moderate change appeared in grassland area in the north. However few changes were observed over large plain area and forest area. Strong signals also are related to economy level and especially the events of surface cover change, such as emergence of railway and port. Two main processes were also noticed about the changes of thermal environment. First, weak signal was detected in mostly natural area influenced by interannual climate change in temperate broadleaf forest area. Second, land surface temperature changes were controlled by human activities as 1) moderate change of LST happened in grassland influenced by grazing and 2) urban heat island was

  18. A Ten Step Protocol and Plan for CCS Site Characterization, Based on an Analysis of the Rocky Mountain Region, USA

    SciTech Connect

    McPherson, Brian; Matthews, Vince

    2013-09-15

    This report expresses a Ten-Step Protocol for CO2 Storage Site Characterization, the final outcome of an extensive Site Characterization analysis of the Rocky Mountain region, USA. These ten steps include: (1) regional assessment and data gathering; (2) identification and analysis of appropriate local sites for characterization; (3) public engagement; (4) geologic and geophysical analysis of local site(s); (5) stratigraphic well drilling and coring; (6) core analysis and interpretation with other data; (7) database assembly and static model development; (8) storage capacity assessment; (9) simulation and uncertainty assessment; (10) risk assessment. While the results detailed here are primarily germane to the Rocky Mountain region, the intent of this protocol is to be portable or generally applicable for CO2 storage site characterization.

  19. Performance analysis of landslide early warning systems at regional scale: the EDuMaP method

    NASA Astrophysics Data System (ADS)

    Piciullo, Luca; Calvello, Michele

    2016-04-01

    Landslide early warning systems (LEWSs) reduce landslide risk by disseminating timely and meaningful warnings when the level of risk is judged intolerably high. Two categories of LEWSs, can be defined on the basis of their scale of analysis: "local" systems and "regional" systems. LEWSs at regional scale (ReLEWSs) are used to assess the probability of occurrence of landslides over appropriately-defined homogeneous warning zones of relevant extension, typically through the prediction and monitoring of meteorological variables, in order to give generalized warnings to the public. Despite many studies on ReLEWSs, no standard requirements exist for assessing their performance. Empirical evaluations are often carried out by simply analysing the time frames during which significant high-consequence landslides occurred in the test area. Alternatively, the performance evaluation is based on 2x2 contingency tables computed for the joint frequency distribution of landslides and alerts, both considered as dichotomous variables. In all these cases, model performance is assessed neglecting some important aspects which are peculiar to ReLEWSs, among which: the possible occurrence of multiple landslides in the warning zone; the duration of the warnings in relation to the time of occurrence of the landslides; the level of the warning issued in relation to the landslide spatial density in the warning zone; the relative importance system managers attribute to different types of errors. An original approach, called EDuMaP method, is proposed to assess the performance of landslide early warning models operating at regional scale. The method is composed by three main phases: Events analysis, Duration Matrix, Performance analysis. The events analysis phase focuses on the definition of landslide (LEs) and warning events (WEs), which are derived from available landslides and warnings databases according to their spatial and temporal characteristics by means of ten input parameters. The

  20. The climatic wind energy potential — present and future: GIS-analysis in the region of Freiburg im Breisgau based on observed data and Regional Climate Models

    NASA Astrophysics Data System (ADS)

    Richert, Clemens; Matzarakis, Andreas

    2014-06-01

    The current and future wind energy potentials for two square areas (SA) in the region of Freiburg were assessed and analyzed, with the aim of mitigating climate change by increasing the use of wind energy. For future conditions the regional climate models REMO and CLM were taken into account for the IPCC Emission Scenarios (SRES) A1B and B1. One aim was to provide information of the applicability of data from regional climate models in terms of wind energy. As a reference dataset, the wind energy potentials of the two measurement stations of the German Weather Service (DWD) (1961-1990) in Freiburg (SA I) and on the Feldberg (SA II) were assessed. Calculations were carried out by the Wind Analysis and Application Program (WAsP). Results were in terms of visual analysis displayed with maps. While the annual electricity performances of the reference data in SA I and SA II reach up to 7.2 GWh and 10.1 GWh respectively, the calculations for REMO and CLM show an underestimation of the real conditions for every period and Emission Scenario. Hence the applicability of the models in consideration seems to be limited. Nevertheless, with regard to different socio-economic developments (SRES A1B and B1), the results provide an overview of the wind energy potentials' development in the different periods.

  1. Preliminary Analysis of Observations on the Ultra-Low Frequency Electric Field in the Beijing Region

    NASA Astrophysics Data System (ADS)

    Zhuang, Jiancang; Vere-Jones, David; Guan, Huaping; Ogata, Yosihiko; Ma, Li

    2005-06-01

    This paper presents a preliminary analysis of observations on ultra-low frequency ground electric signals from stations operated by the China Seismological Bureau over the last 20 years. A brief description of the instrumentation, operating procedures and data processing procedures is given. The data analyzed consists of estimates of the total strengths (cumulated amplitudes) of the electric signals during 24-hour periods. The thresholds are set low enough so that on most days a zero observation is returned. Non-zero observations are related to electric and magnetic storms, occasional man-made electrical effects, and, apparently, some pre-, co-, or postseismic signals. The main purpose of the analysis is to investigate the extent that the electric signals can be considered as preseismic in character. For this purpose the electric signals from each of five stations are jointly analyzed with the catalogue of local earthquakes within circular regions around the selected stations. A version of Ogata’s Lin-Lin algorithm is used to estimate and test the existence of a pre-seismic signal. This model allows the effect of the electric signals to be tested, even after allowing for the effects of earthquake clustering. It is found that, although the largest single effect influencing earthquake occurrence is the clustering tendency, there remains a significant preseismic component from the electrical signals. Additional tests show that the apparent effect is not postseismic in character, and persists even under variations of the model and the time periods used in the analysis. Samples of the data are presented and the full data sets have been made available on local websites.

  2. Flow cytometric analysis of benign and malignant tumors of the oral and maxillofacial region.

    PubMed

    Chen, R B

    1989-06-01

    One hundred eight fresh tissue samples obtained from normal tissues, benign tumors, and malignant tumors of the oral and maxillofacial region were analyzed for nuclear DNA content and cell kinetics by flow cytometric analysis (FCM). Mean DNA indices for 22 normal tissues and 18 benign tumors were 1.00 and 1.02, respectively, and all samples but one showed diploid pattern. On the other hand, the value for 68 malignant tumors was 1.38, and 66% of them showed an aneuploid pattern. The S phase and G2 + M phase cell populations for malignant tumors were 17.2% and 7.0%, respectively. With the exception of G2 + M phase cell population, all values for malignant tumors were significantly higher than those of normal tissue and benign tumors. Although statistical differences were not observed in most of the values, they were higher in squamous cell carcinomas than in malignant salivary gland tumors. The incidence of aneuploidy and DNA index showed a tendency to increase with the increase of T classification, in N2 and N3 tumors, and in the group of patients with recurrence or who died. The DNA index and the type of DNA ploidy were well correlated to malignancy grade determined by six histologic parameters, whereas the S phase cell population was correlated to mitosis. The analysis by the two-dimensional diagnostic supporting system showed that more than 80% of malignant tumors can be correctly diagnosed by combined values of DNA index and S phase cell population. The results indicate that nuclear DNA analysis by FCM is quite useful as a supplement to histologic diagnosis and evaluation of malignancy grade.

  3. A Genetic and Molecular Analysis of the 46c Chromosomal Region Surrounding the Fmrfamide Neuropeptide Gene in Drosophila Melanogaster

    PubMed Central

    O'Brien, M. A.; Roberts, M. S.; Taghert, P. H.

    1994-01-01

    We have analyzed the FMRFamide neuropeptide gene region of Drosophila melanogaster. This gene maps to the 46C region of chromosome 2R; this interval previously was not well characterized. For this genetic and molecular analysis, we have used X-ray mutagenesis, EMS mutagenesis, and the recently reported local P element transposition method. We identified four overlapping deletions, two of which have proximal breakpoints that define a 50-60-kb region surrounding the FMRFamide gene in 46C. To this small region, we mapped three lethal complementation groups; 10 additional lethal complementation groups were mapped to more distal regions of 46CD. One of these groups corresponds to even-skipped, the other 12 are previously unidentified. Using various lines of evidence we excluded the possibility that FMRFamide corresponds to any of the three lethal complementation groups mapping to its immediate 50-60-kb vicinity. The positions of two of the three lethal complementation groups were identified with P elements using a local transposition scheme. The third lethal complementation group was excluded as being FMRFamide mutants by sequence analysis and by immunocytochemistry with proFMRFamide precursor-specific antibodies. This analysis has (1) provided a genetic map of the 46CD chromosomal region and a detailed molecular map of a portion of the 46C region and (2) provided additional evidence of the utility of local transposition for targeting nearby genes. PMID:8056304

  4. Regional-specific Stochastic Simulation of Spatially-distributed Ground-motion Time Histories using Wavelet Packet Analysis

    NASA Astrophysics Data System (ADS)

    Huang, D.; Wang, G.

    2014-12-01

    Stochastic simulation of spatially distributed ground-motion time histories is important for performance-based earthquake design of geographically distributed systems. In this study, we develop a novel technique to stochastically simulate regionalized ground-motion time histories using wavelet packet analysis. First, a transient acceleration time history is characterized by wavelet-packet parameters proposed by Yamamoto and Baker (2013). The wavelet-packet parameters fully characterize ground-motion time histories in terms of energy content, time- frequency-domain characteristics and time-frequency nonstationarity. This study further investigates the spatial cross-correlations of wavelet-packet parameters based on geostatistical analysis of 1500 regionalized ground motion data from eight well-recorded earthquakes in California, Mexico, Japan and Taiwan. The linear model of coregionalization (LMC) is used to develop a permissible spatial cross-correlation model for each parameter group. The geostatistical analysis of ground-motion data from different regions reveals significant dependence of the LMC structure on regional site conditions, which can be characterized by the correlation range of Vs30 in each region. In general, the spatial correlation and cross-correlation of wavelet-packet parameters are stronger if the site condition is more homogeneous. Using the regional-specific spatial cross-correlation model and cokriging technique, wavelet packet parameters at unmeasured locations can be best estimated, and regionalized ground-motion time histories can be synthesized. Case studies and blind tests demonstrated that the simulated ground motions generally agree well with the actual recorded data, if the influence of regional-site conditions is considered. The developed method has great potential to be used in computational-based seismic analysis and loss estimation in a regional scale.

  5. A Development of Nonstationary Regional Frequency Analysis Model with Large-scale Climate Information: Its Application to Korean Watershed

    NASA Astrophysics Data System (ADS)

    Kim, Jin-Young; Kwon, Hyun-Han; Kim, Hung-Soo

    2015-04-01

    The existing regional frequency analysis has disadvantages in that it is difficult to consider geographical characteristics in estimating areal rainfall. In this regard, this study aims to develop a hierarchical Bayesian model based nonstationary regional frequency analysis in that spatial patterns of the design rainfall with geographical information (e.g. latitude, longitude and altitude) are explicitly incorporated. This study assumes that the parameters of Gumbel (or GEV distribution) are a function of geographical characteristics within a general linear regression framework. Posterior distribution of the regression parameters are estimated by Bayesian Markov Chain Monte Carlo (MCMC) method, and the identified functional relationship is used to spatially interpolate the parameters of the distributions by using digital elevation models (DEM) as inputs. The proposed model is applied to derive design rainfalls over the entire Han-river watershed. It was found that the proposed Bayesian regional frequency analysis model showed similar results compared to L-moment based regional frequency analysis. In addition, the model showed an advantage in terms of quantifying uncertainty of the design rainfall and estimating the area rainfall considering geographical information. Finally, comprehensive discussion on design rainfall in the context of nonstationary will be presented. KEYWORDS: Regional frequency analysis, Nonstationary, Spatial information, Bayesian Acknowledgement This research was supported by a grant (14AWMP-B082564-01) from Advanced Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

  6. Survival analysis of timing of first marriage among women of reproductive age in Nigeria: regional differences.

    PubMed

    Adebowale, Stephen A; Fagbamigbe, Francis A; Okareh, Titus O; Lawal, Ganiyu O

    2012-12-01

    Early marriage is common among women in developing countries. Age at first marriage (AFM) has health implication on women and their under-five children. In Nigeria, few studies have explored AFM; the current study was designed to fill the gap. Nigeria Demographic and Health Survey, 2008 dataset on married women aged 15-49 (N = 24,986) was used. Chi-square, OLS regression and Cox proportional hazard models were used in the analysis. The mean AFM was 17.8 +/- 4.8 years and significant difference existed between the mean AFM of women in the North (16.0 +/- 3.6) and South (20.4 +/- 5.0) (p < 0.001). Region, education, religion, residence, nutritional status, age at first sexual intercourse and children ever born were significantly associated with timing of first marriage (p < 0.001). Majority of the women married between ages 15-19 years (43.1%), while very few married late (2.3%) and about 27.0% married too early (less than 15 years). Early marriage was more common in all the regions in the North than the South and the hazard was highest in the North West and North East. Women who reside in rural area (H.R = 1.15; C.I = 1.11-1.18) married early than their counterparts in the urban area. Age at first marriage was directly related to levels of education (p < 0.001). Muslim women married early (H.R = 1.34; C.I = 1.29-1.39) than Christians. Three models were generated from the data. Women married too early in Nigeria with Teenage marriage more common in the North than the South. Education has influence on AFM; therefore, women should have at least secondary education before marriage in Nigeria.

  7. Preliminary array analysis reveals novel genes regulated by ovarian steroids in the monkey raphe region.

    PubMed

    Reddy, Arubala P; Bethea, Cynthia L

    2005-06-01

    We hypothesize that ovarian hormones may improve serotonin neuron survival. We sought the effect of estradiol (E) and progesterone (P) on novel gene expression in the macaque dorsal raphe region with Affymetrix array analysis. Nine spayed rhesus macaques were treated with either placebo, E or E+P via Silastic implant for 1 month prior to euthanasia (n=3 per treatment). RNA was extracted from a small block of midbrain containing the dorsal raphe and examined on an Agilent Bioanalyzer. The RNA from each monkey was labeled and hybridized to an Affymetrix HG_U95AV Human GeneChip Array. After filtering and sorting, 25 named genes remained that were regulated by E, and 24 named genes remained that were regulated by supplemental P. These genes further sorted into functional categories that would promote neuronal plasticity, transmitter synthesis, and trafficking, as well as reduce apoptosis. The relative abundance of four pivotal genes was examined in all nine animals with quantitative RT-PCR and normalized by glyceraldehyde 3-phosphate dehydrogenase (GAPDH). E+/-P caused a significant threefold reduction in JNK-1 (a pro-apoptosis gene, p<0.007); and a significant sixfold decrease in kynurenine mono-oxygenase (produces neurotoxic quinolones, p<0.05). GABA-A receptor (alpha3 subunit; benzodiazepine site) and E2F1 (interferes with cytokine signaling) were unaffected by E, but increased sevenfold (p<0.02) and fourfold (p<0.009), respectively, upon treatment with P. In summary, subsets of genes related to tissue remodeling or apoptosis were up- or down-regulated by E and P in a tissue block containing the dorsal raphe. These changes could promote cellular resilience in the region where serotonin neurons originate.

  8. Assimilation of SCIAMACHY total column CO observations: Global and regional analysis of data impact

    NASA Astrophysics Data System (ADS)

    Tangborn, Andrew; Stajner, Ivanka; Buchwitz, Michael; Khlystova, Iryna; Pawson, Steven; Burrows, John; Hudman, Rynda; Nedelec, Philippe

    2009-04-01

    Carbon monoxide (CO) total column observations from the Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY) on board Envisat-1 are assimilated into the Global Modeling and Assimilation Office constituent assimilation system for the period 1 April to 20 December 2004. The impact of the assimilation on CO distribution is evaluated using independent surface flask observations from the National Oceanic and Atmospheric Administration (NOAA)/ESRL global cooperative air sampling network and Measurement of Ozone and Water Vapor by Airbus In-Service Aircraft (MOZAIC) in situ CO profiles. Assimilation of SCIAMACHY data improves agreement of CO assimilation with both of these data sets on both global and regional scales compared to the free-running model. Regional comparisons with MOZAIC profiles made in western Europe, the northeastern United States, and the Arabian Peninsula show improvements at all three locations in the free troposphere and into the boundary layer over Arabia and the northeastern United States. Comparisons with NOAA Earth System Research Laboratory data improve at about two thirds of the surface observation sites. The systematic model errors related to the uncertainty of CO surface sources and the chemistry of CO losses are investigated through experiments with increased surface CO emissions over the Arabian Peninsula and/or globally reduced hydroxyl radical (OH) concentrations. Both model changes decrease mean CO errors at all altitudes in comparison to MOZAIC data over Dubai and Abu Dhabi. In contrast, errors in the assimilated CO are reduced by the increased emissions for pressures ≥800 hPa and by the reduced OH for pressures ≤600 hPa. Our analysis suggests that CO emissions over Dubai in 2004 are more than double those in the 1998 emissions inventory.

  9. Do university hospitals perform better than general hospitals? A comparative analysis among Italian regions

    PubMed Central

    Grillo Ruggieri, Tommaso; Podetti, Silvia

    2016-01-01

    Objective The aim of this research was to investigate how university hospitals (UHs) perform compared with general hospitals (GHs) in the Italian healthcare system. Design and setting 27 indicators of overall performance were selected and analysed for UHs and GHs in 10 Italian regions. The data refer to 2012 and 2013 and were selected from two performance evaluation systems based on hospital discharge administrative data: the Inter-Regional Performance Evaluation System developed by the Management and Health Laboratory of the Scuola Superiore Sant'Anna of Pisa and the Italian National Outcome Evaluation Programme developed by the National Agency for Healthcare Services. The study was conducted in 2 stages and by combining 2 statistical techniques. In stage 1, a non-parametric Mann-Whitney U test was carried out to compare the performance of UHs and GHs on the selected set of indicators. In stage 2, a robust equal variance test between the 2 groups of hospitals was carried out to investigate differences in the amount of variability between them. Results The overall analysis gave heterogeneous results. In general, performance was not affected by being in the UH rather than the GH group. It is thus not possible to directly associate Italian UHs with better results in terms of appropriateness, efficiency, patient satisfaction and outcomes. Conclusions Policymakers and managers should further encourage hospital performance evaluations in order to stimulate wider competition aimed at assigning teaching status to those hospitals that are able to meet performance requirements. In addition, UH facilities could be integrated with other providers that are responsible for community, primary and outpatient services, thereby creating a joint accountability for more patient-centred and integrated care. PMID:27507233

  10. Analysis and modeling of the variable region of camelid single-domain antibodies.

    PubMed

    Sircar, Aroop; Sanni, Kayode A; Shi, Jiye; Gray, Jeffrey J

    2011-06-01

    Camelids have a special type of Ab, known as heavy chain Abs, which are devoid of classical Ab light chains. Relative to classical Abs, camelid heavy chain Abs (cAbs) have comparable immunogenicity, Ag recognition diversity and binding affinities, higher stability and solubility, and better manufacturability, making them promising candidates for alternate therapeutic scaffolds. Rational engineering of cAbs to improve therapeutic function requires knowledge of the differences of sequence and structural features between cAbs and classical Abs. In this study, amino acid sequences of 27 cAb variable regions (V(H)H) were aligned with the respective regions of 54 classical Abs to detect amino acid differences, enabling automatic identification of cAb V(H)H CDRs. CDR analysis revealed that the H1 often (and sometimes the H2) adopts diverse conformations not classifiable by established canonical rules. Also, although the cAb H3 is much longer than classical H3 loops, it often contains common structural motifs and sometimes a disulfide bond to the H1. Leveraging these observations, we created a Monte Carlo-based cAb V(H)H structural modeling tool, where the CDR H1 and H2 loops exhibited a median root-mean-square deviation to natives of 3.1 and 1.5 Å, respectively. The protocol generated 8-12, 14-16, and 16-24 residue H3 loops with a median root-mean-square deviation to natives of 5.7, 4.5, and 6.8 Å, respectively. The large deviation of the predicted loops underscores the challenge in modeling such long loops. cAb V(H)H homology models can provide structural insights into interaction mechanisms to enable development of novel Abs for therapeutic and biotechnological use. PMID:21525384

  11. Analysis on fuel breeding capability of FBR core region based on minor actinide recycling doping

    NASA Astrophysics Data System (ADS)

    Permana, Sidik; Novitrian, Waris, Abdul; Ismail, Suzuki, Mitsutoshi; Saito, Masaki

    2014-09-01

    Nuclear fuel breeding based on the capability of fuel conversion capability can be achieved by convertion rasio of some fertile materials into fissile materials during nuclear reaction processes such as main fissile materials of U-233, U-235, Pu-239 and Pu-241 and for fertile materials of Th-232, U-238, and Pu-240 as well as Pu-238. Minor actinide (MA) loading option which consists of neptunium, americium and curium will gives some additional contribution from converted MA into plutonium such as conversion Np-237 into Pu-238 and it's produced Pu-238 converts to Pu-239 via neutron capture. Increasing composition of Pu-238 can be used to produce fissile material of Pu-239 as additional contribution. Trans-uranium (TRU) fuel (Mixed fuel loading of MOX (U-Pu) and MA composition) and mixed oxide (MOX) fuel compositions are analyzed for comparative analysis in order to show the effect of MA to the plutonium productions in core in term of reactor criticality condition and fuel breeding capability. In the present study, neptunium (Np) nuclide is used as a representative of MAin trans-uranium (TRU) fuel composition as Np-MOX fuel type. It was loaded into the core region gives significant contribution to reduce the excess reactivity in comparing to mixed oxide (MOX) fuel and in the same time it contributes to increase nuclear fuel breeding capability of the reactor. Neptunium fuel loding scheme in FBR core region gives significant production of Pu-238 as fertile material to absorp neutrons for reducing excess reactivity and additional contribution for fuel breeding.

  12. Spectral data analysis of rock and mineral in Hatu Western Junggar Region, Xinjiang

    NASA Astrophysics Data System (ADS)

    Wang, Shanshan; Zhou, Kefa; Zhang, Nannan; Wang, Jinlin

    2014-11-01

    Mineral resources are important material basis for the survival and development of human society. The development of hyperspectral remote sensing technology, which has made direct identification of minerals or mineral aggregates become possible, paves a new way for the application of remote sensing geology. The West Junggar region is located Xinjiang west verge of Junggar, with ore-forming geological conditions be richly endowed by nature and huge prospecting potentiality. The area has very good outcrop exposure with almost no vegetation cover, which is a natural test new method of remote sensing geological exploration. The characteristic of rock and mineral spectrum is not only the physical base of geological remote sensing technical application but also the base of the quantificational analysis of geological remote sensing, and the study of reflectance spectrum is the main content in the basic research of remote sensing. In this study, we collected the outdoor and indoor reflectance spectrum of rocks and minerals by using a spectroradiometer (ASD FieldSpec FR, ASD, USA), which band extent varied from 350 to 2,500 nm. Basin on a great deal of spectral data for different kinds of rocks and minerals, we have analyzed the spectrum characteristics and change of seven typical mineral rocks. According to the actual conditions, we analyzed the data noise characteristic of the spectrum and got rid of the noise. Meanwhile, continuum removed technology was used to remove the environmental background influence. Finally, in order to take full advantage of multi-spectrum data, ground information is absolutely necessary, and it is important to build a representative spectral library. We build the spectral library of rocks and minerals in Hatu, which can be used for features investigation, mineral classification, mineral mapping and geological prospecting in Hatu Western Junggar region by remote sensing. The result of this research will be significant to the research of

  13. Molecular analysis of human argininosuccinate lyase: Mutant characterization and alternative splicing of the coding region

    SciTech Connect

    Walker, D.C. ); McCloskey, D.A.; Simard, L.R.; McInnes, R.R. )

    1990-12-01

    Argininosuccinic acid lyase (ASAL) deficiency is a clinically heterogeneous autosomal recessive urea cycle disorder. The authors previously established by complementation analysis that 29 ASAL-deficient patients have heterogeneous mutations in a single gene. To prove that the ASAL structural gene is the affected locus, they sequenced polymerase chain reaction-amplified ASAL cDNA of a representative mutant from the single complementation group. Fibroblast strain 944 from a late-onset patient who was the product of a consanguineous mating, had only a single base-pair change in the coding region, a C-283{r arrow} T transition at a CpG dinucleotide in exon 3. This substitution converts Arg-95 to Cys (R95C), occurs in a stretch of 13 residues that is identical in yeast and human ASAL, and was present in both of the patient's alleles but not in 14 other mutant or 10 normal alleles. They observed that amplified cDNA from mutant 944 and normal cells (liver, keratinocytes, lymphoblasts, and fibroblasts) contained, in addition to the expected 5{prime} 513-base-pair band, a prominent 318-base-pair ASAL band formed by the splicing of exon 2 from the transcript. The short transcript maintains the ASAL reading frame but removes Lys-51, a residue that may be essential for catalysis, since it binds the argininosuccinate substrate. They conclude (i) that the identification of the R95C mutation in strain 944 demonstrates that virtually all ASAL deficiency results from defects in the ASAL structural gene and (ii) that minor alternative splicing of the coding region occurs at the ASAL locus.

  14. The efficiency of fMRI region of interest analysis methods for detecting group differences

    PubMed Central

    Hutchison, Joanna L.; Hubbard, Nicholas A.; Brigante, Ryan M.; Turner, Monroe; Sandoval, Traci I.; Hillis, G. Andrew J.; Weaver, Travis; Rypma, Bart

    2014-01-01

    Background Using a standard space brain template is an efficient way of determining region-of-interest (ROI) boundaries for functional magnetic resonance imaging (fMRI) data analyses. However, ROIs based on landmarks on subject-specific (i.e., native space) brain surfaces are anatomically accurate and probably best reflect the regional blood oxygen level dependent (BOLD) response for the individual. Unfortunately, accurate native space ROIs are often time-intensive to delineate even when using automated methods. New Method We compared analyses of group differences when using standard versus native space ROIs using both volume and surface-based analyses. Collegiate and military-veteran participants completed a button press task and a digit-symbol verification task during fMRI acquisition. Data were analyzed within ROIs representing left and right motor and prefrontal cortices, in native and standard space. Volume and surface-based analysis results were also compared using both functional (i.e., percent signal change) and structural (i.e., voxel or node count) approaches. Results and Comparison with Existing Method(s) Results suggest that transformation into standard space can affect the outcome of structural and functional analyses (inflating/minimizing differences, based on cortical geography), and these transformations can affect conclusions regarding group differences with volumetric data. Conclusions Caution is advised when applying standard space ROIs to volumetric fMRI data. However, volumetric analyses show group differences and are appropriate in circumstances when time is limited. Surface-based analyses using functional ROIs generated the greatest group differences and were less susceptible to differences between native and standard space. We conclude that surface-based analyses are preferable with adequate time and computing resources. PMID:24487017

  15. The use of multiobjective calibration and regional sensitivity analysis in simulating hyporheic exchange

    USGS Publications Warehouse

    Naranjo, Ramon C.; Niswonger, Richard G.; Stone, Mark; Davis, Clinton; McKay, Alan

    2012-01-01

    We describe an approach for calibrating a two-dimensional (2-D) flow model of hyporheic exchange using observations of temperature and pressure to estimate hydraulic and thermal properties. A longitudinal 2-D heat and flow model was constructed for a riffle-pool sequence to simulate flow paths and flux rates for variable discharge conditions. A uniform random sampling approach was used to examine the solution space and identify optimal values at local and regional scales. We used a regional sensitivity analysis to examine the effects of parameter correlation and nonuniqueness commonly encountered in multidimensional modeling. The results from this study demonstrate the ability to estimate hydraulic and thermal parameters using measurements of temperature and pressure to simulate exchange and flow paths. Examination of the local parameter space provides the potential for refinement of zones that are used to represent sediment heterogeneity within the model. The results indicate vertical hydraulic conductivity was not identifiable solely using pressure observations; however, a distinct minimum was identified using temperature observations. The measured temperature and pressure and estimated vertical hydraulic conductivity values indicate the presence of a discontinuous low-permeability deposit that limits the vertical penetration of seepage beneath the riffle, whereas there is a much greater exchange where the low-permeability deposit is absent. Using both temperature and pressure to constrain the parameter estimation process provides the lowest overall root-mean-square error as compared to using solely temperature or pressure observations. This study demonstrates the benefits of combining continuous temperature and pressure for simulating hyporheic exchange and flow in a riffle-pool sequence. Copyright 2012 by the American Geophysical Union.

  16. Analysis on fuel breeding capability of FBR core region based on minor actinide recycling doping

    SciTech Connect

    Permana, Sidik; Novitrian,; Waris, Abdul; Ismail; Suzuki, Mitsutoshi; Saito, Masaki

    2014-09-30

    Nuclear fuel breeding based on the capability of fuel conversion capability can be achieved by conversion ratio of some fertile materials into fissile materials during nuclear reaction processes such as main fissile materials of U-233, U-235, Pu-239 and Pu-241 and for fertile materials of Th-232, U-238, and Pu-240 as well as Pu-238. Minor actinide (MA) loading option which consists of neptunium, americium and curium will gives some additional contribution from converted MA into plutonium such as conversion Np-237 into Pu-238 and it's produced Pu-238 converts to Pu-239 via neutron capture. Increasing composition of Pu-238 can be used to produce fissile material of Pu-239 as additional contribution. Trans-uranium (TRU) fuel (Mixed fuel loading of MOX (U-Pu) and MA composition) and mixed oxide (MOX) fuel compositions are analyzed for comparative analysis in order to show the effect of MA to the plutonium productions in core in term of reactor criticality condition and fuel breeding capability. In the present study, neptunium (Np) nuclide is used as a representative of MAin trans-uranium (TRU) fuel composition as Np-MOX fuel type. It was loaded into the core region gives significant contribution to reduce the excess reactivity in comparing to mixed oxide (MOX) fuel and in the same time it contributes to increase nuclear fuel breeding capability of the reactor. Neptunium fuel loading scheme in FBR core region gives significant production of Pu-238 as fertile material to absorp neutrons for reducing excess reactivity and additional contribution for fuel breeding.

  17. Preliminary Analysis of Wind Speed Simulations over the US Produced by Regional Climate Models

    NASA Astrophysics Data System (ADS)

    Takle, E. S.; Pryor, S. C.; Barthelmie, R. J.; Rabideau, S. L.; Arritt, R. W.; Gutowski, W. J.; Flory, D.; Team, N.

    2008-12-01

    Regional climate models (RCMs) are finding increased use for studying climate variability and change at resolutions higher than are available from routine long-term simulations with global models. Most analyses of RCM results have focused on temperature and precipitation, but little attention has been devoted to simulations of wind speed. Pryor et al. (2008) have shown that studies of long-term trends in surface wind speeds from surface observations are complicated by changes in instrumentation and changes in the near- field environment of anemometers, among other factors. Long-term RCM simulations from the NARCCAP archive offer an alternative way to study diurnal, seasonal, and long-term trends in winds without these complications. We examine both model-reported 10-m winds and also the lowest-model-level winds. The near surface wind speeds are of high importance due to their role in regulating the exchange of heat, momentum, and moisture with the Earth's surface, but they are approximated by use of extrapolations from the model lowest level. The influence of these approximations is minimized for studying trends by focusing on the lowest-model-level winds themselves. Analysis of MM5 model wind results from the NARCCAP archive show generally decreasing winds over the period 1982-2004 across the new wind-farm region of the upper Midwest except for a weak increase across a narrow band from central Minnesota to northern Kansas. Largest contribution to this decrease comes in winter when changes on the order of -0.05 m/s/yr are produced by the model. The winter decrease is partially offset in the annual average by a small increase in fall. Additional analyses of results are in progress.

  18. Quantitative analysis of properties and spatial relations of fuzzy image regions

    NASA Technical Reports Server (NTRS)

    Krishnapuram, Raghu; Keller, James M.; Ma, Yibing

    1992-01-01

    Properties of objects and spatial relations between objects play an important role in rule-based approaches for high-level vision. The partial presence or absence of such properties and relationships can supply both positive and negative evidence for region labeling hypotheses. Similarly, fuzzy labeling of a region can generate new hypotheses pertaining to the properties of the region, its relation to the neighboring regions, and finally, the labels of the neighboring regions. In this paper, we present a unified methodology to characterize properties and spatial relationships of object regions in a digital image. The proposed methods can be used to arrive at more meaningful decisions about the contents of the scene.

  19. Comparative analysis of the gene-dense ACHE/TFR2 region on human chromosome 7q22 with the orthologous region on mouse chromosome 5

    PubMed Central

    Wilson, Michael D.; Riemer, Cathy; Martindale, Duane W.; Schnupf, Pamela; Boright, Andrew P.; Cheung, Tony L.; Hardy, Daniel M.; Schwartz, Scott; Scherer, Stephen W.; Tsui, Lap-Chee; Miller, Webb; Koop, Ben F.

    2001-01-01

    Chromosome 7q22 has been the focus of many cytogenetic and molecular studies aimed at delineating regions commonly deleted in myeloid leukemias and myelodysplastic syndromes. We have compared a gene-dense, GC-rich sub-region of 7q22 with the orthologous region on mouse chromosome 5. A physical map of 640 kb of genomic DNA from mouse chromosome 5 was derived from a series of overlapping bacterial artificial chromosomes. A 296 kb segment from the physical map, spanning Ache to Tfr2, was compared with 267 kb of human sequence. We identified a conserved linkage of 12 genes including an open reading frame flanked by Ache and Asr2, a novel cation-chloride cotransporter interacting protein Cip1, Ephb4, Zan and Perq1. While some of these genes have been previously described, in each case we present new data derived from our comparative sequence analysis. Adjacent unfinished sequence data from the mouse contains an orthologous block of 10 additional genes including three novel cDNA sequences that we subsequently mapped to human 7q22. Methods for displaying comparative genomic information, including unfinished sequence data, are becoming increasingly important. We supplement our printed comparative analysis with a new, Web-based program called Laj (local alignments with java). Laj provides interactive access to archived pairwise sequence alignments via the WWW. It displays synchronized views of a dot-plot, a percent identity plot, a nucleotide-level local alignment and a variety of relevant annotations. Our mouse–human comparison can be viewed at http://web.uvic.ca/~bioweb/laj.html. Laj is available at http://bio.cse.psu.edu/, along with online documentation and additional examples of annotated genomic regions. PMID:11239002

  20. An analysis of seasonal forecasts from POAMA and SCOPIC in the Pacific region

    NASA Astrophysics Data System (ADS)

    Cottrill, Andrew; Charles, Andrew; Kuleshov, Yuriy

    2013-04-01

    The Australian Bureau of Meteorology (BoM), as part of the Pacific Island Climate Prediction Project (PI-CPP), has developed seasonal forecasts for ten National Meteorological Services (NMS) in the Pacific region for nearly a decade, to improve seasonal forecast services to local communities and industry. As part of this project, a new statistical model called SCOPIC (Seasonal Climate Outlooks for Pacific Island Countries) was developed to provide partner countries with the ability to produce their own seasonal climate outlooks. In 2010, as part of the Pacific Adaptation Strategy and Assistance Programme (PASAP), the BoM developed a seasonal outlook portal for Pacific NMS as an alternative source of seasonal forecasts based on the Bureau's dynamical model POAMA (Predictive Ocean-Atmosphere Model for Australia). This dynamical model is a coupled ocean-atmosphere model, which has been developed by the Bureau for over ten years for forecasting research in Australia. However, no formal assessment of the skill of the two forecast systems (POAMA and SCOPIC) has been carried out using a number of skill metrics for the Pacific region. Although the skill of POAMA in the Australian region is now well documented, the forecast skill is even higher in the Pacific region due to its proximity to the tropical ocean, where the El Niño-Southern Oscillation (ENSO) provides the main source of tropical climate variability and predictability on seasonal time scales. The statistical model (SCOPIC) uses discriminant analysis (multiple linear regression) and the relationships of sea surface temperatures (SST) or the Southern Oscillation Index (predictors) and monthly rainfall (predictands) to predict rainfall at various lead times. In contrast, POAMA uses the current state of the climate (initial ocean and atmospheric conditions) and model physics to predict forecasts of many climate variables at all locations across the globe and also at various lead times. Here we demonstrate the skill

  1. Risk prediction of Critical Infrastructures against extreme natural hazards: local and regional scale analysis

    NASA Astrophysics Data System (ADS)

    Rosato, Vittorio; Hounjet, Micheline; Burzel, Andreas; Di Pietro, Antonio; Tofani, Alberto; Pollino, Maurizio; Giovinazzi, Sonia

    2016-04-01

    . The regional output of cascading effects can be used as an input model for more detailed analyses within urban areas for instance. The DSS weights the overall expected Crisis Scenario by also considering, through an appropriate Consequences Analysis, the number of citizens affected by the Service(s) outages, the expected economic losses of the major industrial activities hit by the unavailability of relevant Services (electricity, water, telecommunications etc.) and the influence of outages of the availability of Public Services (hospitals, schools, public offices etc.) [1] S.Giovinazzi, S. Lagomarsino: A macroseismic method for the vulnerability assessment of buildings. 13th World Conference on Earthquake Engineering, Vancouver, BC, Canada (2004) [2] S. Lagomarsino, S.Giovinazzi: Macroseismic and mechanical models for the vulnerability and damage assessment of current buildings. Bull Earthquake Eng., 4:415-443 (2006)

  2. Correlates of physician burnout across regions and specialties: a meta-analysis

    PubMed Central

    2013-01-01

    Background Health care organizations globally realize the need to address physician burnout due to its close linkages with quality of care, retention and migration. The many functions of health human resources include identifying and managing burnout risk factors for health professionals, while also promoting effective coping. Our study of physician burnout aims to show: (1) which correlates are most strongly associated with emotional exhaustion (EE) and depersonalization (DP), and (2) whether the associations vary across regions and specialties. Methods Meta-analysis allowed us to examine a diverse range of correlates. Our search yielded 65 samples of physicians from various regions and specialties. Results EE was negatively associated with autonomy, positive work attitudes, and quality and safety culture. It was positively associated with workload, constraining organizational structure, incivility/conflicts/violence, low quality and safety standards, negative work attitudes, work-life conflict, and contributors to poor mental health. We found a similar but weaker pattern of associations for DP. Physicians in the Americas experienced lower EE levels than physicians in Europe when quality and safety culture and career development opportunities were both strong, and when they used problem-focused coping. The former experienced higher EE levels when work-life conflict was strong and they used ineffective coping. Physicians in Europe experienced lower EE levels than physicians in the Americas with positive work attitudes. We found a similar but weaker pattern of associations for DP. Outpatient specialties experienced higher EE levels than inpatient specialties when organization structures were constraining and contributors to poor mental health were present. The former experienced lower EE levels when autonomy was present. Inpatient specialties experienced lower EE levels than outpatient specialties with positive work attitudes. As above, we found a similar but weaker

  3. Molecular cytogenetic analysis of Xq critical regions in premature ovarian failure

    PubMed Central

    2013-01-01

    Background One of the frequent reasons for unsuccessful conception is premature ovarian failure/primary ovarian insufficiency (POF/POI) that is defined as the loss of functional follicles below the age of 40 years. Among the genetic causes the most common one involves the X chromosome, as in Turner syndrome, partial X deletion and X-autosome translocations. Here we report a case of a 27-year-old female patient referred to genetic counselling because of premature ovarian failure. The aim of this case study to perform molecular genetic and cytogenetic analyses in order to identify the exact genetic background of the pathogenic phenotype. Results For premature ovarian failure disease diagnostics we performed the Fragile mental retardation 1 gene analysis using Southern blot technique and Repeat Primed PCR in order to identify the relationship between the Fragile mental retardation 1 gene premutation status and the premature ovarion failure disease. At this early onset, the premature ovarian failure affected patient we detected one normal allele of Fragile mental retardation 1 gene and we couldn’t verify the methylated allele, therefore we performed the cytogenetic analyses using G-banding and fluorescent in situ hybridization methods and a high resolution molecular cytogenetic method, the array comparative genomic hybridization technique. For this patient applying the G-banding, we identified a large deletion on the X chromosome at the critical region (ChrX q21.31-q28) which is associated with the premature ovarian failure phenotype. In order to detect the exact breakpoints, we used a special cytogenetic array ISCA plus CGH array and we verified a 67.355 Mb size loss at the critical region which include total 795 genes. Conclusions We conclude for this case study that the karyotyping is definitely helpful in the evaluation of premature ovarian failure patients, to identify the non submicroscopic chromosomal rearrangement, and using the array CGH technique we can

  4. Analysis of energetic radiation associated with thunderstorms in the Ebro delta region

    NASA Astrophysics Data System (ADS)

    Fabró, Ferran; Montanyà, Joan; Pineda, Nicolau; Argemí, Oriol; van der Velde, Oscar; Romero, David; Soula, Serge

    2016-04-01

    We have analysed increments of background radiation during thunderstorm in the energy range 0.1 - 2 MeV in the Ebro delta region in the northeast of Spain. We present 8 episodes, 3 summer cases and 5 winter cases. The increments of the measured high-energy radiation have been analysed and compared with measurements of electric field, precipitation, radar reflectivity, lightning activity a charge regions altitude. For the first time, measurements of high-energy radiation associated with thunderstorms are compared with radar reflectivity and lightning detected by a LMA network. The aim of this paper is to discern if the high-energy radiation increments measured are related with the storm electrification, like reported in previous publications, or other factors like precipitation. As summary these are the main results: • The comparative of energy spectra of 1 hour period with rain and 1 hour period without rain shows that radon-ion daughters are quite important in the increase of the measured high-energy radiation. • The analysis of the time normalized cumulative curves of radiation counts, radar reflectivity and lightning activity (LINET and LMA detections) shows that that high-energy radiation increments are time related with radar reflectivity rather than lightning activity. • The calculated altitude of the negative charge regions of the different thunderstorms analayzed is too high for the photons produced at those altitudes by Bremmstrahlung effect to overcome atmospheric attenuation and reach the scintillator placed at sea level. These results lead us to conclude, as a contribution in addition to previous works, that the measured increments of high-energy analysed on this paper are associated with radon-ion daughters rather than storm electrification. However, the use of a detector in an energy from 0.1 MeV to 2 Mev does not allow to completely exclude the possibility that part of the high-energy radiation reported should be related storm electrification

  5. Using scaling fluctuation analysis to quantify anthropogenic changes in regional and global precipitation, including extremes

    NASA Astrophysics Data System (ADS)

    de Lima, Isabel; Lovejoy, Shaun

    2016-04-01

    Anthropic precipitation changes affect the mean and the magnitude and frequency of extreme events, and therefore potentially have severe consequences in all aspects of human life. Unfortunately, - unlike the anthropic temperature changes - precipitation changes of anthropic origin have been proven difficult to establish with high statistical significance. For example, when changes have been established for individual precipitation products, the serious divergences found between products reflect our limited ability to estimate areal precipitation even at global scales. In addition to data issues, the usual approaches to assessing changes in precipitation also have methodological issues that hamper their identification. Here we discuss how the situation can be clarified by the systematic application of scaling fluctuation analysis - for example, to determine the scales at which the anthropogenic signal exceeds the natural variability noise (we find that it is roughly 20 years). Following a recent approach for estimating anthropogenic temperature changes we directly determine the effective sensitivity of the precipitation rate to a doubling of CO2. The novelty in this approach is that it takes CO2 as a surrogate for all anthropogenic forcings and estimates the trend based on the forcing rather than time - the usual approach. This leads both to an improved signal to noise ratio and, when compared to the usual estimates of trends, it augments their statistical significance; we further improve the signal to noise ratio by considering precipitation over the ocean where anthropogenic increases are strongest, finding that there are statistically significant trends at the 3 to 4 standard deviation level. This approach also permits the first direct estimate of the increases in global precipitation with temperature: we find 1.71±0.62 %/K which is close to that found by GCM's (2 - 3%/K) and is well below the value of ≈ 6 - 7%/K predicted on the basis of increases in humidity

  6. Hydrochemical analysis of groundwater using multivariate statistical methods - The Volta region, Ghana

    USGS Publications Warehouse

    Banoeng-Yakubo, B.; Yidana, S.M.; Nti, E.

    2009-01-01

    Q and R-mode multivariate statistical analyses were applied to groundwater chemical data from boreholes and wells in the northern section of the Volta region Ghana. The objective was to determine the processes that affect the hydrochemistry and the variation of these processes in space among the three main geological terrains: the Buem formation, Voltaian System and the Togo series that underlie the area. The analyses revealed three zones in the groundwater flow system: recharge, intermediate and discharge regions. All three zones are clearly different with respect to all the major chemical parameters, with concentrations increasing from the perceived recharge areas through the intermediate regions to the discharge areas. R-mode HCA and factor analysis (using varimax rotation and Kaiser Criterion) were then applied to determine the significant sources of variation in the hydrochemistry. This study finds that groundwater hydrochemistry in the area is controlled by the weathering of silicate and carbonate minerals, as well as the chemistry of infiltrating precipitation. This study finds that the ??D and ??18O data from the area fall along the Global Meteoric Water Line (GMWL). An equation of regression derived for the relationship between ??D and ??18O bears very close semblance to the equation which describes the GMWL. On the basis of this, groundwater in the study area is probably meteoric and fresh. The apparently low salinities and sodicities of the groundwater seem to support this interpretation. The suitability of groundwater for domestic and irrigation purposes is related to its source, which determines its constitution. A plot of the sodium adsorption ratio (SAR) and salinity (EC) data on a semilog axis, suggests that groundwater serves good irrigation quality in the area. Sixty percent (60%), 20% and 20% of the 67 data points used in this study fall within the medium salinity - low sodicity (C2-S1), low salinity -low sodicity (C1-S1) and high salinity - low

  7. Analysis on source features of halogenated gases at Shangdianzi regional atmospheric background station

    NASA Astrophysics Data System (ADS)

    An, Xingqin; Zhou, Lingxi; Yao, Bo; Xu, Lin; Ma, Lin

    2012-09-01

    In the study, the five-day back-trajectories collected by Shangdianzi Station were categorized by season, calculated four times a day during the period of 2008-2010, based on the Lagrangian particle integrated trajectory model HYSPLIT, and using the back-trajectory cluster analysis method. Efforts were made to understand the impacts of different trajectories on the concentration of halogenated gases over the site of Shangdianzi (SDZ) in different seasons, in line with the in-site concentration measurements of halogenated gases, including the 8 species of CFC-11, CFC-12, CCL4, CHCL3, CH3Br, SF6, H-1301, and HCFC-22. Meanwhile, the wind data collected by the same station and the concentration observed during the same period were employed to calculate the loadings of CFC-11, CFC-12, CCL4, CHCL3, CH3Br, SF6, H-1301, and HCFC-22, respectively. The result of back-trajectory cluster analysis suggests that air masses from southeast and southwest accounting for a large proportion of local air masses at SDZ always move slowly within the bottom boundary layer, which is beneficial for the accumulation of pollutants within the boundary layer and leads to the highest mean concentrations of halocarbons among all the clusters. Conversely, the mean concentration of halocarbons corresponding to the fast-moving northwest air masses at high altitude is found to have unanimously low values. The analysis of the concentration loadings proves that WSW and SW are the directions for the maximum concentration loading of all halogenated species, whereas NNW, NNE, NE and ENE are the directions for the minimum concentration loading. We also find that the sector in SW-S-SE is the high concentration loading part, while the sector in NW-N-NE is the low concentration part. The trajectory cluster analysis and concentration loading results indicate that the SE-S-SW towards SDZ is the high pollution source direction for the halogenated species mentioned above, which reflects the influence of human

  8. The Evolution of Well-Being in Spain (1980?2001): A Regional Analysis

    ERIC Educational Resources Information Center

    Marchante, Andres J.; Sanchez, Jose; Ortega, Bienvenido

    2006-01-01

    Evaluations of regional welfare conventionally rely on Gross Value Added (GVA) per capital as an indicator of well-being. This paper attempts to re-address the regional welfare issue using alternative indicators to per capital income. With this aim, a database for the Spanish regions (NUTS II) has been constructed for the period 1980-2001 and an…

  9. Digital photogrammetric analysis and electrical resistivity tomography for investigating the Picerno landslide (Basilicata region, southern Italy)

    NASA Astrophysics Data System (ADS)

    de Bari, Claudia; Lapenna, Vincenzo; Perrone, Angela; Puglisi, Claudio; Sdao, Francesco

    2011-10-01

    Digital photogrammetric analysis and Electrical Resistivity Tomography (ERT) techniques were applied to evaluate the volume of material involved in a complex roto-translational slide occurred in the territory of Picerno (Basilicata region, southern Italy). Analytical and digital photogrammetric techniques facilitated a multi-temporal analysis of aerial photos for the years 1997, 2004 and 2006. In order to identify different geomorphologic features (scarps, terraces and trenches) of the landslide and their development, the analytical and digital photo interpretation was performed at the maximum scale of 1:5000. Geological and geomorphological surveys were carried out to verify photo-interpretation results. Digital Elevation Models (DEMs) for 1997, 2004 and 2006 were produced by applying the Grid Adaptive method. The differential DEMs (2006-1997; 2006-2004; 2004-1997) for the most dangerous part of the landslide allowed us to recognize the areas affected either by deposition or erosion and also estimate any altitudinal changes in each geomorphologic unit. To detect the sliding surface and estimate the thickness of the sliding material, several transversal and longitudinal ERT profiles were obtained. The electrical images of subsurface supported by stratigraphical data from boreholes were integrated with the information from the DEMs. The altitudinal changes and the sizes of the source and accumulation areas allowed us to estimate the volume of material involved in the mass movement. The fusion of data from different sensors allows us to gather indications on the surface and subsurface characteristics of the landslide providing useful information for landslide mitigation activities. Such an approach can help both to improve our knowledge and overcome the drawbacks of each methodology.

  10. Array analysis of regional Pn and Pg wavefields from the Nevada Test Site

    SciTech Connect

    Leonard, M.A. . Dept. of Geology and Geophysics Lawrence Berkeley Lab., CA )

    1991-06-01

    Small-aperture high-frequency seismic arrays with dimensions of a few kilometers or less, can improve our ability to seismically monitor compliance with a low-yield Threshold Test Ban Treaty. This work studies the characteristics and effectiveness of array processing of the regional Pn and Pg wavefields generated by underground nuclear explosions at the Nevada Test Site. Waveform data from the explosion HARDIN (m{sub b} = 5.5) is recorded at a temporary 12-element, 3-component, 1.5 km-aperture array sited in an area of northern Nevada. The explosions VILLE (m{sub b} = 4.4) and SALUT (m{sub b} = 5.5) are recorded at two arrays sited in the Mojave desert, one a 96-element vertical-component 7 km-aperture array and the other a 155-element vertical-component 4 km-aperture array. Among the mean spectra for the m{sub b} = 5.5 events there are significant differences in low-frequency spectral amplitudes between array sites. The spectra become nearly identical beyond about 6 Hz. Spectral ratios are used to examine seismic source properties and the partitioning of energy between Pn and Pg. Frequency-wavenumber analysis at the 12-element array is used to obtain estimates of signal gain, phase velocity, and source azimuth. This analysis reveals frequency-dependent biases in velocity and azimuth of the coherent Pn and Pg arrivals. Signal correlation, the principal factor governing array performance, is examined in terms of spatial coherence estimates. The coherence is found to vary between the three sites. In all cases the coherence of Pn is greater than that for Pg. 81 refs., 92 figs., 5 tabs.

  11. [Structure analysis of mtDNA control region of spotted halibut (Verasper variegatus) and its related species].

    PubMed

    He, Chong-Bo; Cao, Jie; Liu, Wei-Dong; Zhou, Zun-Chun; Ge, Long-Li; Gao, Xiang-Gang; Wang, Xiao-Min

    2007-07-01

    Spotted halibut (Verasper variegatus) is the only species of Genus Verasper in China. The fish was naturally distributed in Yellow Sea and Bohai Sea in northern China and Kyushu in Japan and in Korean sea area. Using PCR product direct sequencing, mitochondrial control region sequences of 24 individuals of spotted halibut was confirmed and analyzed. 4 control region haplotypes, resulting from length heteroplamy of the tandem repeat region, was obtained from these 24 fish. Sequence analysis demonstrated that there were four similar structures in the control region, i.e., extended terminal associated sequences (ETAS), central conserved sequence block (CSB), conserved sequence block (CSB), and repeat region, in V. moseri, Limanda ferruginea, Reinhardtius hippoglossoides, Heppoglossoides platessoides, Paralichthys olivaceous, Solea solea, S. senegalensis, and S. lascari. By comparing with other vertebrates, we found that there were similar repeated sequences immediately after the CSB-3 in all of the anuran species. PMID:17646149

  12. Health financing in the African Region: 2000–2009 data analysis

    PubMed Central

    2013-01-01

    Background In order to raise African countries probability of achieving the United Nations Millennium Development Goals by 2015, there is need to increase and more efficiently use domestic and external funding to strengthen health systems infrastructure in order to ensure universal access to quality health care. The objective of this paper is to examine the changes that have occurred in African countries on health financing, taking into account the main sources of funding over the period 2000 to 2009. Methods Our analysis is based on the National Health Accounts (NHA) data for the 46 countries of the WHO African Region. The data were obtained from the WHO World Health Statistics Report 2012. Data for Zimbabwe was not available. The analysis was done using Excel software. Results Between 2000 and 2009, number of countries spending less than 5% of their GDP on health decreased from 24 to 17; government spending on health as a percentage of total health expenditure increased in 31 countries and decreased in 13 countries; number of countries allocating at least 15% of national budgets on health increased from 2 to 4; number of countries partially financing health through social security increased from 19 to 21; number of countries where private spending was 50% and above of total health expenditure decreased from 29 (64%) to 23 (51%); over 70% of private expenditure on health came from household out-of-pocket payments (OOPS) in 32 (71%) countries and in 27 (60%) countries; number of countries with private prepaid plans increased from 29 to 31; number of countries financing more than 20% of their total health expenditure from external sources increased from 14 to 19; number of countries achieving the Commission for Macroeconomics and Health recommendation of spending at least US$34 per person per year increased from 11 to 29; number of countries achieving the International Taskforce on Innovative Financing recommendation of spending at least US$44 per person per year

  13. Analysis of Future High Temperature Region in Urban Area under Climate Change Scenarios

    NASA Astrophysics Data System (ADS)

    Park, C.; Jeong, W.; Sung, S.; Park, J.

    2015-12-01

    Urban air temperature is higher than surrounding air temperature. It is called Urban Heat Island. Furthermore, according to climate change, Urban air temperature is expected to be increased in the future. Therefore, Preparing for high temperature event result from climate change is important as well as preparing for presence of the urban heat. In this study, we analyzed Seoul temperature change according to the climate change scenarios, and suggested some strategies to fight against climate change and urban heat island. For doing this, Firstly, Seoul was divided into 1km² cells which matches the climate change scenario resolution. Then, future temperature distribution was analyzed. In this time, future temperature means distribution means the average temperature in August 2010~2100 from Representative Concentration Pathways (RCPs) 4.5 and 8.5 scenarios. Secondly, Cells where temperature is over 33℃ are selected as the "high temperature region (HTR)". For identifying HTUR characteristics, we did regression analysis with terrain, land cover, distance from rivers and mountains variables. As a result, most of the HTR was distributed to the industrial and business districts, and appeared as far away from the rivers and mountains. These result can be used in the further urban heat island studies, especially identifying urban type which vulnerable to climate change. Also, it can be helpful in establishing strategies corresponding to the future climate.

  14. [EPIDEMIOLOGIC ANALYSIS OF OUTBREAKS OF DISEASES CAUSED BY AMERICAN EQUINE ENCEPHALITIS CAUSATIVE AGENTS IN ENDEMIC REGIONS].

    PubMed

    Petrov, A A; Lebedev, V N; Kulish, V S; Pyshnaya, N S; Stovba, L F; Borisevich, S V

    2015-01-01

    Epidemiologic analysis of epidemic outbreaks caused by American equine encephalitis causative agents is carried out in the review. Eastern equine encephalomyelitis (EEE), Western equine encephalomyelitis (WEE) and Venezuela equine encephalomyelitis (VEE) viruses are etiologic agents of dangerous transmissive diseases that are usually accompanied by fever and neurologic symptoms. Among the New World alphaviruses, VEE virus has the most potential danger for humans and domestic animals. Currently, enzootic strains of VEE play an increasing role as etiologic agents of human diseases. Most of the VEE cases in humans in endemic regions during inter-epidemic period are caused by infection with VEE subtype ID virus. A possibility of emergence of novel epidemic outbreaks of VEE is determined by mutations of ID subtype strains into IC subtype, and those currently pose a potential threat as an etiologic agent of the disease. Despite low morbidity, EEE and WEE are a problem for healthcare due to a relatively high frequency of lethal outcomes of the disease. PMID:26829861

  15. Process-based image analysis for agricultural mapping: A case study in Turkgeldi region, Turkey

    NASA Astrophysics Data System (ADS)

    Damla Uca Avci, Z.; Sunar, Filiz

    2015-10-01

    The need for timely, accurate, and interoperable geospatial information is steadily increasing. In this context, process-based image processing systems will be the initial segment for future's automatic systems. A process-based system is believed to be a good approach for agricultural purpose because agricultural activities are carried out according to a periodic (annual) cycle. Therefore, a process-based image analysis procedure was designed for routine crop classification for an agricultural region in Kırklareli, Turkey. The process tree developed uses a multi-temporal image data set as an input and gives the final crop classification as an output by using an incremental rule set. The test data set was composed of five images of Satellite Pour l'Observation de la Terre 4 (SPOT 4) data acquired in 2007. Basically, image objects were first extracted and then classified. A rule set was structured depending on class definitions. A decision-based process was executed and formed a multilevel image classification system. The final classification was obtained by merging classes from the appropriate levels where they were extracted. To evaluate the success of the application the accuracy of the classification was assessed. The overall accuracy and kappa index of agreement was found to be 80% and 0.78, respectively. At the end of the study, problems of segmentation and classification operations were discussed and solution approaches were outlined. To assess the process in terms of its scope for automation, the efficiency and success of the rule set were also discussed.

  16. Regional L-Moment-Based Flood Frequency Analysis in the Upper Vistula River Basin, Poland

    NASA Astrophysics Data System (ADS)

    Rutkowska, A.; Żelazny, M.; Kohnová, S.; Łyp, M.; Banasik, K.

    2016-05-01

    The Upper Vistula River basin was divided into pooling groups with similar dimensionless frequency distributions of annual maximum river discharge. The cluster analysis and the Hosking and Wallis (HW) L-moment-based method were used to divide the set of 52 mid-sized catchments into disjoint clusters with similar morphometric, land use, and rainfall variables, and to test the homogeneity within clusters. Finally, three and four pooling groups were obtained alternatively. Two methods for identification of the regional distribution function were used, the HW method and the method of Kjeldsen and Prosdocimi based on a bivariate extension of the HW measure. Subsequently, the flood quantile estimates were calculated using the index flood method. The ordinary least squares (OLS) and the generalised least squares (GLS) regression techniques were used to relate the index flood to catchment characteristics. Predictive performance of the regression scheme for the southern part of the Upper Vistula River basin was improved by using GLS instead of OLS. The results of the study can be recommended for the estimation of flood quantiles at ungauged sites, in flood risk mapping applications, and in engineering hydrology to help design flood protection structures.

  17. Analysis of rotation-driven electrokinetic flow in microscale gap regions of rotating disk systems.

    PubMed

    Soong, C Y; Wang, S H

    2004-01-15

    In the present study, a novel theoretical model is developed for the analysis of rotating thermal-fluid flow characteristics in the presence of electrokinetic effects in the microscale gap region between two parallel disks under specified electrostatic, rotational, and thermal boundary conditions. The major flow configuration considered is a rotor-stator disk system. Axisymmetric Navier-Stokes equations with consideration of electric body force stemming from streaming potential are employed in the momentum balance. Variations of the fluid viscosity and permittivity with the local fluid temperature are considered. Between two disks, the axial distribution of the electric potential is determined by the Poisson equation with the concentration distributions of positive and negative ions obtained from Nernst-Planck equations for convection-diffusion of the ions in the flow field. Effects of disk rotation and electrostatic and thermal conditions on the electrokinetic flow and thermal characteristics are investigated. The electrohydrodynamic mechanisms are addressed with an interpretation of the coupling nature of the electric and flow fields. Finally, solutions with electric potential determined by employing nonlinear or linearized Poisson-Boltzmann equation and/or invoking assumptions of constant properties are compared with the predictions of the present model for justification of various levels of approximation in solution of the electrothermal flow behaviors in rotating microfluidic systems. PMID:14654411

  18. Evaluation of VIIRS SST fields through the analysis of overlap regions between consecutive orbits

    NASA Astrophysics Data System (ADS)

    Cayula, Jean-François P.; May, Douglas A.; Arnone, Robert A.; Vandermeulen, Ryan A.

    2015-05-01

    Full-swath Sea Surface Temperature (SST) derived from data acquired by the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on-board the Suomi-National Polar-orbiting Partnership (S-NPP) satellite produces significant overlap between consecutive orbits at all latitudes. In this study, we use those overlap regions to evaluate VIIRS SST, as inconsistencies between SST values from consecutive orbits are indications of likely degraded quality. The studies investigate two sources of inconsistencies: those resulting from the response of the SST equations when observing a scene from differing view angles and those caused by undetected data contamination. This study will present results for two VIIRS SST products: one from the Naval Oceanographic Office (NAVOCEANO), which is assimilated in the Navy Ocean Models, and the Advanced Clear-Sky Processor for Oceans (ACSPO) product from the National Oceanic and Atmospheric Administration (NOAA) Center for Satellite Applications and Research (STAR). Global statistics based on drifting buoys for both NAVOCEANO and NOAA products complete the analysis.

  19. Depth and source mechanism estimation for special event analysis, event screening, and regional calibration

    SciTech Connect

    Goldstein, P; Dodge, D; Ichinose, Rodgers, A; Bhattacharyya, B; Leach, R

    1999-07-23

    We have summarized the advantages and disadvantages of a variety of techniques for depth and mechanism estimation and suggest that significant work remains to be done for events with magnitudes of interest for test ban monitoring. We also describe a new, waveform modeling-based tool for fast and accurate, high-resolution depth and mechanism estimation. Significant features of this tool include its speed and accuracy and its applicability at relatively high frequencies. These features allow a user to rapidly determine accurate, high-resolution depth estimates and constraints on source mechanism for relatively small magnitude (mb-4.5) events. Based on the accuracy of depth estimates obtained with this tool, we conclude it is useful for both the analysis of unusual or suspect events and for event screening. We also find that this tool provides significant constraints on source mechanism and have used it to develop ''ground-truth'' estimates of depth and mechanism for a set of events in the Middle East and North Africa. These ''ground-truth'' depths and mechanisms should be useful for regional calibration.

  20. Analysis of the CODIS autosomal STR loci in four main Colombian regions.

    PubMed

    Paredes, Manuel; Galindo, Aida; Bernal, Margarita; Avila, Sandra; Andrade, Diana; Vergara, Carlos; Rincón, Magner; Romero, Rosa Elena; Navarrete, Mayda; Cárdenas, Martha; Ortega, Janeth; Suarez, Dayana; Cifuentes, Adriana; Salas, Antonio; Carracedo, Angel

    2003-10-14

    Genotype polymorphism studies at the 13 loci STRs included in the combined DNA index system [CODIS and PCR-based short tandem repeat loci, in: Proceedings of the Second European Symposium on Human Identification, Promega Corporation, Madison, WI, 1998, pp. 73-88; J. Forensic Sci. 46 (2001) 453] (CODIS: D3S1358, HUMvWA31, HUMFGA, D8S1179 D21S11, D18S51, D5S818, D13S317, D7S820, HUMTH01, HUMTPOX, HUMCSF1PO and D16S539) were carried out in a sample of 1429 unrelated Colombian individuals belonging to 25 different departments. As many other countries in Latino-America, Colombia shows an important admixture component, basically integrated by Amerindians, European-descendants and African-descendants. Due to the fact that only partial population analyses have been carried out in the country, the main aim of the present analysis is to establish a database of forensic interest based on the widely used CODIS systems covering the main Colombian regions.

  1. Identification of hydrological neighborhoods for regional flood frequency analysis using statistical depth function

    NASA Astrophysics Data System (ADS)

    Wazneh, H.; Chebana, F.; Ouarda, T. B. M. J.

    2016-08-01

    The adoption of hydrological neighborhoods is one of the common approaches employed for the delineation step in regional frequency analysis (RFA). Traditional methods proposed for building hydrological neighborhoods are mainly based on distance metrics. These methods have some limitations. They are not robust against outliers, they are not affine invariant and they require site characteristics to be normally distributed. To overcome these limitations, the present paper aims to propose a new robust method to identify the neighborhood of a target site. The proposed method is based on the statistical notion of depth function. More precisely, a similarity measure derived from depth functions is used to compute the similarities between the target sites and the gauged ones. A data set from the southern part of the province of Quebec (Canada) is used to compare the proposed method with traditional ones. The obtained results indicate that the depth-based method leads to neighborhoods that are more homogeneous and more efficient for quantile estimation, than those obtained by traditional methods. The triangular shape of neighborhoods obtained by the proposed approach makes it practical and flexible.

  2. Pion-Nucleon Scattering and Analysis from threshold to the N*(1440) Resonance Region

    NASA Astrophysics Data System (ADS)

    Sadler, Michael; Watson, Shon; Stahov, Jugoslav

    2008-10-01

    Many measurements for pion-nucleon scattering from threshold to the N*(1440) resonance region have been made since 1980, when the landmark Karlsruhe-Helsinki (KH) and Carnegie Mellon-Berkeley (CMB) partial wave analyses (PWA) were completed. These measurements consist of differential cross sections and analyzing powers for elastic scattering and charge exchange. Spin rotation parameters for elastic scattering in the momentum interval 0.4 -- 0.7 GeV/c have also been obtained. The program culminated with measurements of π-p -> Neutrals (charge exchange, multiple pi-zero final states, eta production, and inverse photoproduction) using the Crystal Ball at BNL. Resonance parameters for the N*(1440) in the Review of Particle Physics by the Particle Data Group have been obtained from the KH and CMB analyses. The 2006 edition also includes the analysis by George Washington University (GWU) ``for averages, fits, limits, etc.'', but the parameters were unchanged. An overview of the data will be presented along with comparisons to PWA.

  3. Micrometeorological measurement and source region analysis of nitrous oxide fluxes from an agricultural soil

    NASA Astrophysics Data System (ADS)

    Wienhold, F. G.; Welling, M.; Harris, G. W.

    Nitrous oxide (N 2O) fluxes were measured by eddy correlation during a field experiment in August 1993. The measurements took place on a harvested wheat field located in northwest Sealand (Denmark). A. tunable diode laser absorption spectrometer (TDLAS) was used for N 2O detection. The N 2O mixing ratio was sampled at a rate of 10 Hz synchronously with the three-dimensional wind data, air temperature, water vapour and carbon dioxide (CO 2) concentrations. Fast Fourier transform methods were applied to analyse spectral and co-spectral power distributions and to compute the fluxes from the covariance functions. Balance of the energy budget indicated adequate frequency coverage of the flux contributions. Continuous measurements were carried out in half hour intervals during daytime and fluxes in the range of 40-120 ng N m -2 s -1 were obtained. The footprint regions for the individual measurements were estimated by Markovian trajectory simulations taking into account the atmospheric stability conditions and wind distributions inferred from the micrometeorological measurements. The influence of adjoining fields with different crops was evident in the Bowen ratio and CO 2 flux, but not noticeable in the N 2O flux. This observation is consistent with supporting analysis of the soil depth dependence of the nitrous oxide production, which indicates that the major contributions arise from levels below 0.9 m.

  4. Multi-Region Boundary Element Analysis for Coupled Thermal-Fracturing Processes in Geomaterials

    NASA Astrophysics Data System (ADS)

    Shen, Baotang; Kim, Hyung-Mok; Park, Eui-Seob; Kim, Taek-Kon; Wuttke, Manfred W.; Rinne, Mikael; Backers, Tobias; Stephansson, Ove

    2013-01-01

    This paper describes a boundary element code development on coupled thermal-mechanical processes of rock fracture propagation. The code development was based on the fracture mechanics code FRACOD that has previously been developed by Shen and Stephansson (Int J Eng Fracture Mech 47:177-189, 1993) and FRACOM (A fracture propagation code—FRACOD, User's manual. FRACOM Ltd. 2002) and simulates complex fracture propagation in rocks governed by both tensile and shear mechanisms. For the coupled thermal-fracturing analysis, an indirect boundary element method, namely the fictitious heat source method, was implemented in FRACOD to simulate the temperature change and thermal stresses in rocks. This indirect method is particularly suitable for the thermal-fracturing coupling in FRACOD where the displacement discontinuity method is used for mechanical simulation. The coupled code was also extended to simulate multiple region problems in which rock mass, concrete linings and insulation layers with different thermal and mechanical properties were present. Both verification and application cases were presented where a point heat source in a 2D infinite medium and a pilot LNG underground cavern were solved and studied using the coupled code. Good agreement was observed between the simulation results, analytical solutions and in situ measurements which validates an applicability of the developed coupled code.

  5. Statistical analysis of content of Cs-137 in soils in Bansko-Razlog region

    SciTech Connect

    Kobilarov, R. G.

    2014-11-18

    Statistical analysis of the data set consisting of the activity concentrations of {sup 137}Cs in soils in Bansko–Razlog region is carried out in order to establish the dependence of the deposition and the migration of {sup 137}Cs on the soil type. The descriptive statistics and the test of normality show that the data set have not normal distribution. Positively skewed distribution and possible outlying values of the activity of {sup 137}Cs in soils were observed. After reduction of the effects of outliers, the data set is divided into two parts, depending on the soil type. Test of normality of the two new data sets shows that they have a normal distribution. Ordinary kriging technique is used to characterize the spatial distribution of the activity of {sup 137}Cs over an area covering 40 km{sup 2} (whole Razlog valley). The result (a map of the spatial distribution of the activity concentration of {sup 137}Cs) can be used as a reference point for future studies on the assessment of radiological risk to the population and the erosion of soils in the study area.

  6. Cognitive task analysis for instruction in single-injection ultrasound guided-regional anesthesia

    NASA Astrophysics Data System (ADS)

    Gucev, Gligor V.

    Cognitive task analysis (CTA) is methodology for eliciting knowledge from subject matter experts. CTA has been used to capture the cognitive processes, decision-making, and judgments that underlie expert behaviors. A review of the literature revealed that CTA has not yet been used to capture the knowledge required to perform ultrasound guided regional anesthesia (UGRA). The purpose of this study was to utilize CTA to extract knowledge from UGRA experts and to determine whether instruction based on CTA of UGRA will produce results superior to the results of traditional training. This study adds to the knowledge base of CTA in being the first one to effectively capture the expert knowledge of UGRA. The derived protocol was used in a randomized, double blinded experiment involving UGRA instruction to 39 novice learners. The results of this study strongly support the hypothesis that CTA-based instruction in UGRA is more effective than conventional clinical instruction, as measured by conceptual pre- and post-tests, performance of a simulated UGRA procedure, and time necessary for the task performance. This study adds to the number of studies that have proven the superiority of CTA-informed instruction. Finally, it produced several validated instruments that can be used in instructing and evaluating UGRA.

  7. Documentation of revisions to the regional aquifer system analysis model of the New Jersey coastal plain

    USGS Publications Warehouse

    Voronin, Lois M.

    2004-01-01

    The model, which simulates flow in the New Jersey Coastal Plain sediments, developed for the U.S. Geological Survey Regional Aquifer System Analysis (RASA) program was revised. The RASA model was revised with (1) a rediscretization of the model parameters with a finer cell size, (2) a spatially variable recharge rate that is based on rates determined by recent studies and, (3) ground-water withdrawal data from 1981 to 1998. The RASA model framework, which subdivided the Coastal Plain sediments into 10 aquifers and 9 confining units, was preserved in the revised model. A transient model that simulates flow conditions from January 1, 1968 to December 31, 1998, was constructed using 21 stress periods. The model was calibrated by attempting to match the simulated results with (1) estimated base flow for five river basins, (2) measured water levels in long-term hydrographs for 28 selected observation wells, and (3) potentiometric surfaces in the model area for 1978, 1983, 1998, 1993, and 1998 conditions. The estimated and simulated base flow in the five river basins compare well. In general, the simulated water levels matched the interpreted potentiometric surfaces and the measured water levels of the hydrographs within 25 feet.

  8. Comparative Analysis of Aerosol Retrievals from MODIS, OMI and MISR Over Sahara Region

    NASA Technical Reports Server (NTRS)

    Lyapustin, A.; Wang, Y.; Hsu, C.; Terres, O.; Leptoukh, G.; Kalashnikova, O.; Korkin, S.

    2011-01-01

    MODIS is a wide field-of-view sensor providing daily global observations of the Earth. Currently, global MODIS aerosol retrievals over land are performed with the main Dark Target algorithm complimented with the Deep Blue (DB) Algorithm over bright deserts. The Dark Target algorithm relies on surface parameterization which relates reflectance in MODIS visible bands with the 2.1 micrometer region, whereas the Deep Blue algorithm uses an ancillary angular distribution model of surface reflectance developed from the time series of clear-sky MODIS observations. Recently, a new Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm has been developed for MODIS. MAIAC uses a time series and an image based processing to perform simultaneous retrievals of aerosol properties and surface bidirectional reflectance. It is a generic algorithm which works over both dark vegetative surfaces and bright deserts and performs retrievals at 1 km resolution. In this work, we will provide a comparative analysis of DB, MAIAC, MISR and OMI aerosol products over bright deserts of northern Africa.

  9. Precipitation Trend Analysis over Eastern Region of India Using Cmip5 Based Climatic Models

    NASA Astrophysics Data System (ADS)

    Kundu, A.; Dwivedi, S.; Chandra, V.

    2014-12-01

    Climate science is a complex field as climate is governed by processes that interact and operate on a vast array of time and space scales. The processes involving radiative transfer, chemistry and phase changes of water are most easily described at atomic and molecular scales; the influence of ice sheets, continents and planetary scale circulations controlling the basic energy balance of the planet operate at continental scales; even planetary orbital and solar variations operating at millennial time scales cannot be ignored. Global as well as regional climate has changed due to human activities like land use changes, production of industrial effluents and other activities due to the development of the society. The consequences of these changes have a massive impact on atmospheric events like precipitation, temperature etc. So, present and future information of precipitation is required to develop adaptation and mitigation strategies at national and international levels. Precipitation is one of the major phenomena of the atmosphere. So, its prediction and the trend are very necessary to realize the change of climate. The study attempted some model based analysis to assess prediction of rainfall trend using MK test and the Sen's slope estimator.

  10. Thermal/structural analysis of the shaft-disk region of a fan drive system

    NASA Technical Reports Server (NTRS)

    Gregory, Peyton B.; Holland, Anne D.

    1990-01-01

    In January 1989, a mishap occurred in the National Transonic Facility wind tunnel at NASA-Langley. It is believed that the failure of an insulation retainer holding foam insulation around the exterior of the fan drive shaft resulted in the subsequent damage to other components in the tunnel. The effect was determined of removing the external thermal insulation on the shaft would have on the stresses on the shaft, disk and bolts holding the two together. To accomplish this, a detailed thermal/structural finite element analysis of the shaft-disk interface was performed. The maximum stresses on the three components were determined for several configurations and conditions with and without the external thermal insulation, and then these results were compared to the original analyses to access the effect of removing the external thermal insulation on the proposed future operation of the shaft/disk structures of the fan drive system. Although the stresses were higher without the external insulation, the stresses did meet all stress criteria. In addition, all stresses were within the infinite life regime of the Modified Goodman diagram. Therefore, it was determined that the structural integrity of the shaft-disk region is not compromised if the external insulation is removed.

  11. [Analysis of heavy metals distribution characteristics and pollution assessment in agricultural region soils of Huaihe basin].

    PubMed

    Xiao, Xue; Zhao, Nan-Jing; Yuan, Jing; Ma, Ming-Jun; Fang, Li; Wang, Yin; Meng, De-Shuo; Yu, Yang; Tang, Jie; Zhang, Xiao-Ling; Dai, Yuan; Zhang, Yu-Jun; Liu, Jian-Guo; Liu, Wen-Qing

    2014-07-01

    By means of field sampling and laboratory analysis, the content distribution characteristics of Cd, Cr, Cu, Ni, Pb and Zn in agricultural region soils of Huaihe basin in Anhui province were analyzed. Assessment of heavy metal pollutions was conducted using enrichment factor, geoaccumulation index and potential ecological risk index. The results showed that the average mass fraction of Cd and Cu was 0.113 5 and 22.09 mg x kg(-1) respectively in the study area soil, which were above the background values 0.097 and 20.4 mg x kg(-1) in Anhui Province. The average mass fraction of other four heavy metals did not exceed the average values of Anhui Province. The results of the evaluations from geoaccumulation index and ecological risk assessment discovered that Cd is the strongest pollution metal among six heavy metals in the study area soil. For some samples of the study soil, Cd was slight risk for the ecosystem. The ecosystem risks caused by the other five heavy metals were not obviously for the sampling points. The entire study area soils were mid integrated potential ecological risk.

  12. Regional flood frequency analysis using kernel-based fuzzy clustering approach

    NASA Astrophysics Data System (ADS)

    Basu, Bidroha; Srinivas, V. V.

    2014-04-01

    Regionalization approaches are widely used in water resources engineering to identify hydrologically homogeneous groups of watersheds that are referred to as regions. Pooled information from sites (depicting watersheds) in a region forms the basis to estimate quantiles associated with hydrological extreme events at ungauged/sparsely gauged sites in the region. Conventional regionalization approaches can be effective when watersheds (data points) corresponding to different regions can be separated using straight lines or linear planes in the space of watershed related attributes. In this paper, a kernel-based Fuzzy c-means (KFCM) clustering approach is presented for use in situations where such linear separation of regions cannot be accomplished. The approach uses kernel-based functions to map the data points from the attribute space to a higher-dimensional space where they can be separated into regions by linear planes. A procedure to determine optimal number of regions with the KFCM approach is suggested. Further, formulations to estimate flood quantiles at ungauged sites with the approach are developed. Effectiveness of the approach is demonstrated through Monte-Carlo simulation experiments and a case study on watersheds in United States. Comparison of results with those based on conventional Fuzzy c-means clustering, Region-of-influence approach and a prior study indicate that KFCM approach outperforms the other approaches in forming regions that are closer to being statistically homogeneous and in estimating flood quantiles at ungauged sites.

  13. Climate Risk Informed Decision Analysis: A Hypothetical Application to the Waas Region

    NASA Astrophysics Data System (ADS)

    Gilroy, Kristin; Mens, Marjolein; Haasnoot, Marjolijn; Jeuken, Ad

    2016-04-01

    More frequent and intense hydrologic events under climate change are expected to enhance water security and flood risk management challenges worldwide. Traditional planning approaches must be adapted to address climate change and develop solutions with an appropriate level of robustness and flexibility. The Climate Risk Informed Decision Analysis (CRIDA) method is a novel planning approach embodying a suite of complementary methods, including decision scaling and adaptation pathways. Decision scaling offers a bottom-up approach to assess risk and tailors the complexity of the analysis to the problem at hand and the available capacity. Through adaptation pathway,s an array of future strategies towards climate robustness are developed, ranging in flexibility and immediacy of investments. Flexible pathways include transfer points to other strategies to ensure that the system can be adapted if future conditions vary from those expected. CRIDA combines these two approaches in a stakeholder driven process which guides decision makers through the planning and decision process, taking into account how the confidence in the available science, the consequences in the system, and the capacity of institutions should influence strategy selection. In this presentation, we will explain the CRIDA method and compare it to existing planning processes, such as the US Army Corps of Engineers Principles and Guidelines as well as Integrated Water Resources Management Planning. Then, we will apply the approach to a hypothetical case study for the Waas Region, a large downstream river basin facing rapid development threatened by increased flood risks. Through the case study, we will demonstrate how a stakeholder driven process can be used to evaluate system robustness to climate change; develop adaptation pathways for multiple objectives and criteria; and illustrate how varying levels of confidence, consequences, and capacity would play a role in the decision making process, specifically

  14. A regional analysis of elements at risk exposed to mountain hazards in the Eastern European Alps

    NASA Astrophysics Data System (ADS)

    Fuchs, Sven; Zischg, Andreas

    2014-05-01

    We present a method to quantify the number and value of buildings exposed to torrents and snow avalanches in the Austrian Alps, as well as the number of exposed people. Based on a unique population and building register dataset, a relational SQL database was developed that allows in combination with GIS data a rule-based nation-wide automated analysis. Furthermore, possibilities and challenges are discussed with respect to the use of such data in vulnerability assessment and with respect to resilience measures. We comprehensively address the challenge of data accuracy, scale and uncertainties. From the total of approximately 2.4 million buildings with a clearly attributable geographical location, around 120,000 are exposed to torrent processes (5 %) and snow avalanches (0.4 %); exposition was defined here as located within the digitally available hazard maps of the Austrian Torrent and Avalanche Control Service. Around 5 % of the population (360,000 out of 8.5 million inhabitants), based on those people being compulsory listed in the population register, are located in these areas. The analysis according to the building category resulted in 2.05 million residential buildings in Austria (85 %), 93,000 of which (4.5 %) are exposed to these hazards. In contrast, 37,300 buildings (1.6 %) throughout the country belong to the category of accommodation facilities, 5,600 of which are exposed (15 %). Out of the 140,500 commercial buildings, 8,000 (5 %) are exposed. A considerable spatial variation was detectable within the communities and Federal States. In general, an above-average exposition of buildings to torrent process and snow avalanches was detectable in communities located in the Federal State of Salzburg, Styria and Vorarlberg (torrents), and Tyrol and Vorarlberg (snow avalanches). In the alpine part of Austria, the share of exposed accommodation buildings was two times (Salzburg) and three times (Vorarlberg) higher than the regional average of exposed buildings

  15. Comparative Analysis Of {sup 226}Ra Soil-To-Plant Transfer In Cabbage Grown In Various Regions

    SciTech Connect

    Madruga, M. J.; Carvalho, F. P.; Silva, L.; Gouveia, J.

    2008-08-07

    The transfer of {sup 226}Ra from soil to cabbage was compared amongst regions, namely the surroundings of Urgeirica uranium milling tailings (GE), regions with past uranium mining activities (GN1), and regions with no uranium mining activities and no uranium deposits (GN2). Results show a slight increase of the concentration ratio values at low radium concentration in soils. Statistical analysis of the mean {sup 226}Ra activity concentrations in soil and cabbage for the three regions was carried out. The comparison of {sup 226}Ra activity concentrations in soils indicated no difference (p>0.05), between GE and GN2 and significant differences (p<0.05) between GE and GN1 and between GN1 and GN2. Similar statistical results were obtained for {sup 226}Ra activity concentrations in cabbage from the same regions. It was concluded that radium Concentration Ratio (CR) for cabbage grown in the region of the main uranium milling site (GE) is of the same order of magnitude of CR in cabagge grown in background regions (GN2). However, {sup 226}Ra CR was higher in cabagge from the region with past uranium mining activities (GN1)

  16. Comparative analysis of chicken chromosome 28 provides new clues to the evolutionary fragility of gene-rich vertebrate regions

    PubMed Central

    Gordon, Laurie; Yang, Shan; Tran-Gyamfi, Mary; Baggott, Dan; Christensen, Mari; Hamilton, Aaron; Crooijmans, Richard; Groenen, Martien; Lucas, Susan; Ovcharenko, Ivan; Stubbs, Lisa

    2007-01-01

    The chicken genome draft sequence has provided a valuable resource for studies of an important agricultural and experimental model species and an important data set for comparative analysis. However, some of the most gene-rich segments are missing from chicken genome draft assemblies, limiting the analysis of a substantial number of genes and preventing a closer look at regions that are especially prone to syntenic rearrangements. To facilitate the functional and evolutionary analysis of one especially gene-rich, rearrangement-prone genomic region, we analyzed sequence from BAC clones spanning chicken microchromosome GGA28; as a complement we also analyzed a gene-sparse, stable region from GGA11. In these two regions we documented the conservation and lineage-specific gain and loss of protein-coding genes and precisely mapped the locations of 31 major human-chicken syntenic breakpoints. Altogether, we identified 72 lineage-specific genes, many of which are found at or near syntenic breaks, implicating evolutionary breakpoint regions as major sites of genetic innovation and change. Twenty-two of the 31 breakpoint regions have been reused repeatedly as rearrangement breakpoints in vertebrate evolution. Compared with stable GC-matched regions, GGA28 is highly enriched in CpG islands, as are break-prone intervals identified elsewhere in the chicken genome; evolutionary breakpoints are further enriched in GC content and CpG islands, highlighting a potential role for these features in genome instability. These data support the hypothesis that chromosome rearrangements have not occurred randomly over the course of vertebrate evolution but are focused preferentially within “fragile” regions with unusual DNA sequence characteristics. PMID:17921355

  17. Attenuation of seismic waves obtained by coda waves analysis in the West Bohemia earthquake swarm region

    NASA Astrophysics Data System (ADS)

    Bachura, Martin; Fischer, Tomas

    2014-05-01

    with depth, where 1/Qc seems to be frequency independent in depth range of upper lithosphere. Lateral changes of 1/Qc were also reported - it decreases in the south-west direction from the Novy Kostel focal zone, where the attenuation is the highest. Results from more advanced methods that allow for separation of scattering and intrinsic loss show that intrinsic loss is a dominant factor for attenuating of seismic waves in the region. Determination of attenuation due to scattering appears ambiguous due to small hypocentral distances available for the analysis, where the effects of scattering in frequency range from 1 to 24 Hz are not significant.

  18. Cost analysis of ground-water supplies in the North Atlantic region, 1970

    USGS Publications Warehouse

    Cederstrom, Dagfin John

    1973-01-01

    The cost of municipal and industrial ground water (or, more specifically, large supplies of ground water) at the wellhead in the North Atlantic Region in 1970 generally ranged from 1.5 to 5 cents per thousand gallons. Water from crystalline rocks and shale is relatively expensive. Water from sandstone is less so. Costs of water from sands and gravels in glaciated areas and from Coastal Plain sediments range from moderate to very low. In carbonate rocks costs range from low to fairly high. The cost of ground water at the wellhead is low in areas of productive aquifers, but owing to the cost of connecting pipe, costs increase significantly in multiple-well fields. In the North Atlantic Region, development of small to moderate supplies of ground water may offer favorable cost alternatives to planners, but large supplies of ground water for delivery to one point cannot generally be developed inexpensively. Well fields in the less productive aquifers may be limited by costs to 1 or 2 million gallons a day, but in the more favorable aquifers development of several tens of millions of gallons a day may be practicable and inexpensive. Cost evaluations presented cannot be applied to any one specific well or specific site because yields of wells in any one place will depend on the local geologic and hydrologic conditions; however, with such cost adjustments as may be necessary, the methodology presented should have wide applicability. Data given show the cost of water at the wellhead based on the average yield of several wells. The cost of water delivered by a well field includes costs of connecting pipe and of wells that have the yields and spacings specified. Cost of transport of water from the well field to point of consumption and possible cost of treatment are not evaluated. In the methodology employed, costs of drilling and testing, pumping equipment, engineering for the well field, amortization at 5% percent interest, maintenance, and cost of power are considered. The

  19. Comparative genomic analysis of duplicated homoeologous regions involved in the resistance of Brassica napus to stem canker.

    PubMed

    Fopa Fomeju, Berline; Falentin, Cyril; Lassalle, Gilles; Manzanares-Dauleux, Maria J; Delourme, Régine

    2015-01-01

    All crop species are current or ancient polyploids. Following whole genome duplication, structural and functional modifications result in differential gene content or regulation in the duplicated regions, which can play a fundamental role in the diversification of genes underlying complex traits. We have investigated this issue in Brassica napus, a species with a highly duplicated genome, with the aim of studying the structural and functional organization of duplicated regions involved in quantitative resistance to stem canker, a disease caused by the fungal pathogen Leptosphaeria maculans. Genome-wide association analysis on two oilseed rape panels confirmed that duplicated regions of ancestral blocks E, J, R, U, and W were involved in resistance to stem canker. The structural analysis of the duplicated genomic regions showed a higher gene density on the A genome than on the C genome and a better collinearity between homoeologous regions than paralogous regions, as overall in the whole B. napus genome. The three ancestral sub-genomes were involved in the resistance to stem canker and the fractionation profile of the duplicated regions corresponded to what was expected from results on the B. napus progenitors. About 60% of the genes identified in these duplicated regions were single-copy genes while less than 5% were retained in all the duplicated copies of a given ancestral block. Genes retained in several copies were mainly involved in response to stress, signaling, or transcription regulation. Genes with resistance-associated markers were mainly retained in more than two copies. These results suggested that some genes underlying quantitative resistance to stem canker might be duplicated genes. Genes with a hydrolase activity that were retained in one copy or R-like genes might also account for resistance in some regions. Further analyses need to be conducted to indicate to what extent duplicated genes contribute to the expression of the resistance phenotype

  20. Comparative genomic analysis of duplicated homoeologous regions involved in the resistance of Brassica napus to stem canker

    PubMed Central

    Fopa Fomeju, Berline; Falentin, Cyril; Lassalle, Gilles; Manzanares-Dauleux, Maria J.; Delourme, Régine

    2015-01-01

    All crop species are current or ancient polyploids. Following whole genome duplication, structural and functional modifications result in differential gene content or regulation in the duplicated regions, which can play a fundamental role in the diversification of genes underlying complex traits. We have investigated this issue in Brassica napus, a species with a highly duplicated genome, with the aim of studying the structural and functional organization of duplicated regions involved in quantitative resistance to stem canker, a disease caused by the fungal pathogen Leptosphaeria maculans. Genome-wide association analysis on two oilseed rape panels confirmed that duplicated regions of ancestral blocks E, J, R, U, and W were involved in resistance to stem canker. The structural analysis of the duplicated genomic regions showed a higher gene density on the A genome than on the C genome and a better collinearity between homoeologous regions than paralogous regions, as overall in the whole B. napus genome. The three ancestral sub-genomes were involved in the resistance to stem canker and the fractionation profile of the duplicated regions corresponded to what was expected from results on the B. napus progenitors. About 60% of the genes identified in these duplicated regions were single-copy genes while less than 5% were retained in all the duplicated copies of a given ancestral block. Genes retained in several copies were mainly involved in response to stress, signaling, or transcription regulation. Genes with resistance-associated markers were mainly retained in more than two copies. These results suggested that some genes underlying quantitative resistance to stem canker might be duplicated genes. Genes with a hydrolase activity that were retained in one copy or R-like genes might also account for resistance in some regions. Further analyses need to be conducted to indicate to what extent duplicated genes contribute to the expression of the resistance phenotype

  1. An entrance region friction factor model applied to annular seal analysis - Theory versus experiment for smooth and honeycomb seals

    NASA Technical Reports Server (NTRS)

    Elrod, D.; Nelson, C.; Childs, D.

    1989-01-01

    A friction factor model is developed for the entrance-region of a duct. The model is used in an annular gas seal analysis similar to Nelson's (1984). Predictions of the analysis are compared to experimental results for a smooth-stator/smooth-rotor seal and three honeycomb-stator/smooth-rotor seals. The model predicts a leakage and direct damping well. The model overpredicts the dependence of cross-coupled stiffness on fluid prerotation. The model predicts direct stiffness poorly.

  2. Advantages and disadvantages in usage of bioinformatic programs in promoter region analysis

    NASA Astrophysics Data System (ADS)

    Pawełkowicz, Magdalena E.; Skarzyńska, Agnieszka; Posyniak, Kacper; ZiÄ bska, Karolina; PlÄ der, Wojciech; Przybecki, Zbigniew

    2015-09-01

    An important computational challenge is finding the regulatory elements across the promotor region. In this work we present the advantages and disadvantages from the application of different bioinformatics programs for localization of transcription factor binding sites in the upstream region of genes connected with sex determination in cucumber. We use PlantCARE, PlantPAN and SignalScan to find motifs in the promotor regions. The results have been compared and possible function of chosen motifs has been described.

  3. Analysis of heat wave occurrences in the Carpathian basin using regional climate model simulations

    NASA Astrophysics Data System (ADS)

    Bartha, E. B.; Pongracz, R.; Bartholy, J.

    2012-04-01

    Human health is very likely affected by regional consequences of global warming. One of the most severe impacts is probably associated to temperature-related climatological extremes, such as heat waves. In the coming decades hot conditions in most regions of the world are very likely to occur more frequently and more intensely than in the recent decades. In order to develop adaptation and mitigation strategies on local scale, it is essential to analyze the projected changes related to warming climatic conditions including heat waves. In 2004, a Heat Health Watch Warning System was developed in Hungary on the basis of a retrospective analysis of mortality and meteorological data to anticipate heat waves that may result in a large excess of mortality. In the frame of this recently introduced Health Watch System, three levels of heat wave warning are applied. They are associated to the daily mean temperature values, and defined as follows: - Warning level 1 (advisory for internal use) is issued when the daily mean temperature exceeds 25 °C. - Warning level 2 (heat wave watch) is issued when the daily mean temperature for at least 3 consecutive days exceeds 25 °C. - Warning level 3 (heat wave alert) is issued when the daily mean temperature for at least 3 consecutive days exceeds 27 °C. In the present study, frequency of the above climatic conditions are analyzed using regional climate model (RCM) experiments are analyzed for the recent past and the coming decades (1961-2100) for the Carpathian basin. At the Dept. of Meteorology, Eotvos Lorand University two different RCMs have been adapted: RegCM (with 10 km horizontal resolution, originally developed by Giorgi et al., currently, available from the International Centre for Theoretical Physics, ICTP) and PRECIS (with 25 km horizontal resolution, developed at the UK Met Office, Hadley Centre). Their initial and lateral boundary conditions have been provided by global climate models ECHAM and HadCM3, respectively. For

  4. Identification of Chromosome Abnormalities in Subtelomeric Regions by Microarray Analysis: A Study of 5,380 Cases

    PubMed Central

    Shao, Lina; Shaw, Chad A.; Lu, Xin-Yan; Sahoo, Trilochan; Bacino, Carlos A.; Lalani, Seema R.; Stankiewicz, Pawel; Yatsenko, Svetlana A.; Li, Yinfeng; Neill, Sarah; Pursley, Amber N.; Chinault, A. Craig; Patel, Ankita; Beaudet, Arthur L.; Lupski, James R.; Cheung, Sau W.

    2009-01-01

    Subtelomeric imbalances are a significant cause of congenital disorders. Screening for these abnormalities has traditionally utilized GTG-banding analysis, fluorescence in situ hybridization (FISH) assays, and multiplex ligation-dependent probe amplification. Microarray-based comparative genomic hybridization (array-CGH) is a relatively new technology that can identify microscopic and submicroscopic chromosomal imbalances. It has been proposed that an array with extended coverage at subtelomeric regions could characterize subtelomeric aberrations more efficiently in a single experiment. The targeted arrays for chromosome microarray analysis (CMA), developed by Baylor College of Medicine, have on average 12 BAC/PAC clones covering 10 Mb of each of the 41 subtelomeric regions. We screened 5,380 consecutive clinical patients using CMA. The most common reasons for referral included developmental delay (DD), and/or mental retardation (MR), dysmorphic features (DF), multiple congenital anomalies (MCA), seizure disorders (SD), and autistic, or other behavioral abnormalities. We found pathogenic rearrangements at subtelomeric regions in 236 patients (4.4%). Among these patients, 103 had a deletion, 58 had a duplication, 44 had an unbalanced translocation, and 31 had a complex rearrangement. The detection rates varied among patients with a normal karyotype analysis (2.98%), with an abnormal karyotype analysis (43.4%), and with an unavailable or no karyotype analysis (3.16%). Six patients out of 278 with a prior normal subtelomere-FISH analysis showed an abnormality including an interstitial deletion, two terminal deletions, two interstitial duplications, and a terminal duplication. In conclusion, genomic imbalances at subtelomeric regions contribute significantly to congenital disorders. Targeted array-CGH with extended coverage (up to 10 Mb) of subtelomeric regions will enhance the detection of subtelomeric imbalances, especially for submicroscopic imbalances. PMID

  5. A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms

    NASA Astrophysics Data System (ADS)

    Sun, Wenqing; Tseng, Tzu-Liang B.; Zheng, Bin; Zhang, Jianying; Qian, Wei

    2015-03-01

    A novel breast cancer risk analysis approach is proposed for enhancing performance of computerized breast cancer risk analysis using bilateral mammograms. Based on the intensity of breast area, five different sub-regions were acquired from one mammogram, and bilateral features were extracted from every sub-region. Our dataset includes 180 bilateral mammograms from 180 women who underwent routine screening examinations, all interpreted as negative and not recalled by the radiologists during the original screening procedures. A computerized breast cancer risk analysis scheme using four image processing modules, including sub-region segmentation, bilateral feature extraction, feature selection, and classification was designed to detect and compute image feature asymmetry between the left and right breasts imaged on the mammograms. The highest computed area under the curve (AUC) is 0.763 ± 0.021 when applying the multiple sub-region features to our testing dataset. The positive predictive value and the negative predictive value were 0.60 and 0.73, respectively. The study demonstrates that (1) features extracted from multiple sub-regions can improve the performance of our scheme compared to using features from whole breast area only; (2) a classifier using asymmetry bilateral features can effectively predict breast cancer risk; (3) incorporating texture and morphological features with density features can boost the classification accuracy.

  6. Application of a PC analysis of remote sensing spectral reflectance data to determine source regions for dust storms.

    NASA Astrophysics Data System (ADS)

    Dickinson, R. E.; Zhou, L.; Sokolik, I.

    2006-12-01

    The source regions of deserts over which dust is lifted into the air occur on relatively small scales and hve been difficult to characterize geographically. The research programs supporting NASA's terra and aqua satellites have pioneered the development of quality controlled climatologies of surface information, that should include features characteristic of dust source regions. With quality satellite data, patterns can be distinguished that are likely to indicate real geophysical features. Zhou et al. (2005) applied a principle component (PC) analysis to the North African desert that revealed intriguing spatial structures. It represents the spatial patterns with a limited number of PC's that maximize the covariances between spectral bands averaged over space. Such analysis acts as a filter of nonphysical information and should highlight commonly occurring small scale features, some of which are likely connected to dust source regions. We present a new such analysis for the Taklamakan desert of China. The first 2 or 3 modes are removed as being of too coarse a spatial scale to represent source regions. Features of the remaining 3 or 4 patterns of significant amplitude are examined for their possible relevancy to dust uplifting. In particular, patterns that show seasonality of vegetation are deemed unlikely to be so relevant. Distinctions in the spectral patterns and MODIS BRDF kernels of remaining terms are examined for their likely indication of a dust source region.

  7. Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease.

    PubMed

    Lorenzi, M; Ayache, N; Pennec, X

    2015-07-15

    In this study we introduce the regional flux analysis, a novel approach to deformation based morphometry based on the Helmholtz decomposition of deformations parameterized by stationary velocity fields. We use the scalar pressure map associated to the irrotational component of the deformation to discover the critical regions of volume change. These regions are used to consistently quantify the associated measure of volume change by the probabilistic integration of the flux of the longitudinal deformations across the boundaries. The presented framework unifies voxel-based and regional approaches, and robustly describes the volume changes at both group-wise and subject-specific level as a spatial process governed by consistently defined regions. Our experiments on the large cohorts of the ADNI dataset show that the regional flux analysis is a powerful and flexible instrument for the study of Alzheimer's disease in a wide range of scenarios: cross-sectional deformation based morphometry, longitudinal discovery and quantification of group-wise volume changes, and statistically powered and robust quantification of hippocampal and ventricular atrophy.

  8. Chromosome region-specific libraries for human genome analysis. Final progress report, 1 March 1991--28 February 1994

    SciTech Connect

    Kao, F.T.

    1994-04-01

    The objectives of this grant proposal include (1) development of a chromosome microdissection and PCR-mediated microcloning technology, (2) application of this microtechnology to the construction of region-specific libraries for human genome analysis. During this grant period, the authors have successfully developed this microtechnology and have applied it to the construction of microdissection libraries for the following chromosome regions: a whole chromosome 21 (21E), 2 region-specific libraries for the long arm of chromosome 2, 2q35-q37 (2Q1) and 2q33-q35 (2Q2), and 4 region-specific libraries for the entire short arm of chromosome 2, 2p23-p25 (2P1), 2p21-p23 (2P2), 2p14-p16 (wP3) and 2p11-p13 (2P4). In addition, 20--40 unique sequence microclones have been isolated and characterized for genomic studies. These region-specific libraries and the single-copy microclones from the library have been used as valuable resources for (1) isolating microsatellite probes in linkage analysis to further refine the disease locus; (2) isolating corresponding clones with large inserts, e.g. YAC, BAC, P1, cosmid and phage, to facilitate construction of contigs for high resolution physical mapping; and (3) isolating region-specific cDNA clones for use as candidate genes. These libraries are being deposited in the American Type Culture Collection (ATCC) for general distribution.

  9. Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease.

    PubMed

    Lorenzi, M; Ayache, N; Pennec, X

    2015-07-15

    In this study we introduce the regional flux analysis, a novel approach to deformation based morphometry based on the Helmholtz decomposition of deformations parameterized by stationary velocity fields. We use the scalar pressure map associated to the irrotational component of the deformation to discover the critical regions of volume change. These regions are used to consistently quantify the associated measure of volume change by the probabilistic integration of the flux of the longitudinal deformations across the boundaries. The presented framework unifies voxel-based and regional approaches, and robustly describes the volume changes at both group-wise and subject-specific level as a spatial process governed by consistently defined regions. Our experiments on the large cohorts of the ADNI dataset show that the regional flux analysis is a powerful and flexible instrument for the study of Alzheimer's disease in a wide range of scenarios: cross-sectional deformation based morphometry, longitudinal discovery and quantification of group-wise volume changes, and statistically powered and robust quantification of hippocampal and ventricular atrophy. PMID:25963734

  10. Surface-wave analysis and its application to determining crustal and mantle structure beneath regional arrays

    NASA Astrophysics Data System (ADS)

    Jin, Ge

    We develop several new techniques to better retrieve Earth's structure by analyzing seismic surface waves. These techniques are applied in regional studies to understand a variety of tectonic structures and geodynamic processes in Earth's crust and upper mantle. We create an automated method to retrieve surface-wave phase velocities using dense seismic arrays. The method is based on the notion of using cross-correlation to measure phase variations between nearby stations. Frequency-dependent apparent phase velocities are inverted from the phase-variation measurements via the Eikonal equation. The multi-pathing interference is corrected using amplitude measurements via the Helmholtz equation. The coherence between nearby-station waveforms, together with other data-selection criteria, helps to automate the entire process. We build up the Automated Surface-Wave Measuring System (ASWMS) that retrieves structural phase velocity directly from raw seismic waveforms for individual earthquakes without human intervention. This system is applied on the broad-band seismic data recorded by the USArray from 2006-2014, and obtain Rayleigh-wave phase-velocity maps at the periods of 20-100~s. In total around half million seismograms from 850 events are processed, generating about 4 million cross-correlation measurements. The maps correlate well with several published studies, including ambient-noise results at high frequency. At all frequencies, a significant contrast in Rayleigh-wave phase velocity between the tectonically active western US and the stable eastern US can be observed, with the phase-velocity variations in the western US being 1-2 times greater. The Love wave phase-velocity maps are also calculated. We find that overtone interference may produce systematic bias for the Love-wave phase-velocity measurements. We apply surface-wave analysis on the data collected by a temporary broad-band seismic array near the D'Entrecasteaux Island (DI), Papua New Guinea. The array

  11. An Analysis of Strain Accumulation in the Western Part of Black Sea Region in Turkey

    NASA Astrophysics Data System (ADS)

    Deniz, I.; Avsar, N. B.; Deniz, R.; Mekik, C.; Kutoglu, S.

    2014-12-01

    Turkish National Horizontal Control Network (TNHCN) based on the European Datum 1950 (ED50) was used as the principal geodetic network until 2005 in Turkey. Since 2005, Turkish Large Scale Map and Map Information Production Regulation have required that that all the densification points have been produced within the same datum of Turkish National Fundamental GPS Network (TNFGN) put into practise in 2002 and based on International Terrestrial Reference Frame (ITRF). Hence, the common points were produced in both European Datum 1950 (ED50), and TNFGN.It is known that the geological and geophysical information about the network area can be obtained by the evaluation of the coordinate and scale variations in a geodetic network. For one such evaluation, the coordinate variations and velocities of network points, and also the strains are investigated. However, the principal problem in derivation of velocities arises from two different datums. In this context, the computation of velocities using the coordinate data of the ED50 and TNFGN is not accurate and reliable. Likewise, the analysis of strain from the coordinate differences is not reliable. However, due to the fact that the scale of a geodetic network is independent from datum, the strains can be derived from scale variations accurately and reliably.In this study, a test area limited 39.5°-42.0° northern latitudes and 31.0°-37.0° eastern longitudes was chosen. The benchmarks in this test area are composed of 30 geodetic control points derived with the aim of cadastral and engineering applications. We used data mining to investigate the common benchmarks in both reference systems for this area. Accordingly, the ED50 and TNFGN coordinates refer 1954 and 2005, respectively. Thus, it has been investigated the strain accumulation of 51 years in this region. It should be also noted that since 1954, the earthquakes have not registered greater than magnitude 6.0 in the test area. It is a considerable situation for this

  12. Multivariate statistical analysis for fluoride occurrence in groundwater in the Northern region of Ghana.

    PubMed

    Salifu, A; Petrusevski, B; Ghebremichael, K; Buamah, R; Amy, G

    2012-10-01

    The presence of excess fluoride in groundwater in the Northern region of Ghana has resulted in the closure of many boreholes for drinking water supply to avoid the incidence of fluorosis and other related health effects. The fluoride concentration in 357 groundwater samples from the area ranged between 0.0 and 11.6mg/L, with a mean value of 1.13mg/L. Piper graphical classification, correlation coefficients, principal component analysis (PCA) and thermodynamic calculations were used as an approach to gain insight into the groundwater chemical composition and to help understand the dominant mechanisms influencing the occurrence of high fluoride waters. Spatial join procedure was used to examine the relationship between the underlying geology of the study area and fluoride distribution. Six groundwater types were identified for the area: Ca-Mg-HCO(3), Ca-Mg-SO(4), Na-Cl, Na-SO(4), Na-HCO(3) and mixed water type. PCA performed on the groundwater chemical data resulted in 4 principal components (PCs) explaining 72% of the data variance. The PCs represented the predominant processes controlling the groundwater chemistry in the study area which include; mineral dissolution reactions, ion exchange processes and evapotranspiration processes. PHREEQC calculations for saturation indices for the groundwater samples indicated they were largely saturated with respect to calcite and under-saturated with respect to fluorite, suggesting that dissolution of fluorite may be occurring in the areas where it is present. A review of the PCA results and an evaluation of the equilibrium state of the groundwater based on the saturation indices, suggest that some of the processes controlling the overall groundwater chemistry in the study area also influenced the fluoride enrichment. These predominant processes include the dissolution of the mineral fluorite, anion exchange processes (F(-)/OH(-)) involving clay minerals and evapotranspiration processes. Elevated fluoride levels in the study

  13. Multivariate statistical analysis for fluoride occurrence in groundwater in the Northern region of Ghana

    NASA Astrophysics Data System (ADS)

    Salifu, A.; Petrusevski, B.; Ghebremichael, K.; Buamah, R.; Amy, G.

    2012-10-01

    The presence of excess fluoride in groundwater in the Northern region of Ghana has resulted in the closure of many boreholes for drinking water supply to avoid the incidence of fluorosis and other related health effects. The fluoride concentration in 357 groundwater samples from the area ranged between 0.0 and 11.6 mg/L, with a mean value of 1.13 mg/L. Piper graphical classification, correlation coefficients, principal component analysis (PCA) and thermodynamic calculations were used as an approach to gain insight into the groundwater chemical composition and to help understand the dominant mechanisms influencing the occurrence of high fluoride waters. Spatial join procedure was used to examine the relationship between the underlying geology of the study area and fluoride distribution. Six groundwater types were identified for the area: Ca-Mg-HCO3, Ca-Mg-SO4, Na-Cl, Na-SO4, Na-HCO3 and mixed water type. PCA performed on the groundwater chemical data resulted in 4 principal components (PCs) explaining 72% of the data variance. The PCs represented the predominant processes controlling the groundwater chemistry in the study area which include; mineral dissolution reactions, ion exchange processes and evapotranspiration processes. PHREEQC calculations for saturation indices for the groundwater samples indicated they were largely saturated with respect to calcite and under-saturated with respect to fluorite, suggesting that dissolution of fluorite may be occurring in the areas where it is present. A review of the PCA results and an evaluation of the e