Science.gov

Sample records for regional analysis

  1. 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.

  2. USArray Regional Phase Analysis

    NASA Astrophysics Data System (ADS)

    Buehler, J. S.; Shearer, P. M.

    2014-12-01

    The regional Pn and Sn phases, which are typically described as headwaves that propagate in the uppermost mantle, are sensitive to heterogeneities in the mantle lid and complement other seismic studies with poorer vertical resolution at this depth. We have experimented with a variety of approaches to image the velocity structure and anisotropy in the western U.S., starting with separate Pn and Sn time-term tomographies, but also localized cross-correlation and stacking approaches that benefit from the regular USArray station arrangement. Later we combined the data sets for joint Pn-Sn inversions and the resulting Vp/Vs maps provide further insight into the nature of the seismic anomalies. Now that USArray has reached the east coast, we are updating our models to include the cumulative station footprint. The sparser source distribution in the eastern U.S., and the resulting longer ray paths, provide new challenges and justify the inclusion of additional parameters that account for the velocity gradient in the mantle lid. Our results show generally higher Pn velocities in the eastern U.S., but we observe patches of lower velocities around the New Madrid seismic zone and below the eastern Appalachians. We find that the Pn fast axes generally do not agree with SKS splitting orientations, suggesting significant vertical changes in anisotropy in the upper mantle. For example, the circular pattern of the fast polarization direction of SKS in the western U.S. is much less pronounced in the Pn results, and in the eastern U.S. the dominant Pn fast direction is approximately north-south, whereas the SKS fast polarizations are oriented roughly parallel to the absolute plate motion direction. Since Pn and Sn travel through the crust, they can provide additional information on crustal thickness. In several regions our results and estimates from receiver function studies are inconsistent. For example, beneath the Colorado Plateau our crustal thickness estimates are about 35-40 km

  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. Leaving home in Spain: a regional analysis.

    PubMed

    Holdsworth, C

    1998-12-01

    "This paper compares regional patterns of leaving home in Spain during the 1970s and 1980s based on analysis of the 1991 Spanish Sociodemographic Survey. The purpose of this analysis is to demonstrate that while nationally Spain is representative of a southern European pattern of leaving home, (i.e. relatively late and closely associated with partnership formation), there is considerable regional variation in timing, incidence and initial destinations on leaving home. These differences are explored using hazard rates of leaving home by destination and birth cohort for 11 Spanish regions."

  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. 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.

  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. 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.

  9. 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.

  10. Major trauma in Australia: a regional analysis.

    PubMed

    Cameron, P; Dziukas, L; Hadj, A; Clark, P; Hooper, S

    1995-09-01

    This study was undertaken to evaluate the frequency, distribution, cause, pattern, and outcome of patients suffering from major trauma in the State of Victoria over a 1-year period. No previous study in Australia has attempted a comprehensive regional analysis of major trauma. All major trauma admissions resulting from blunt, penetrating, and burns injury were identified, and data collected from emergency departments and intensive care log books at 25 major metropolitan and rural hospitals from the January 3, 1992 to February 28, 1993 by onsite data collectors. The total number of patients admitted into the study was 2,944. There were 1,076 major trauma cases with an Injury Severity Score greater than 15 in a population of 4.2 million people. The type of injury was predominantly blunt (87.5%), with only a small percentage of penetrating injuries (6.4%) and burns (6%). Major trauma in pediatric cases is less common (132 cases). The most common causes of injury were road transport (56%) and falls (22%). The overall outcome of the group was favorable when compared with the Major Trauma Outcome Study group (Z = 1.4, M = 0.93, W = 0.52). There was an unexpectedly low number of patients suffering from major trauma. Outcome using Trauma and Injury Severity Score methodology was favorable when compared with North America.

  11. Incorporating spatial dependence in regional frequency analysis

    NASA Astrophysics Data System (ADS)

    Wang, Zhuo; Yan, Jun; Zhang, Xuebin

    2014-12-01

    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.

  12. Incorporating spatial dependence in regional frequency analysis.

    PubMed

    Wang, Zhuo; Yan, Jun; Zhang, Xuebin

    2014-12-01

    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.

  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. Multiwavelength analysis of a solar quiet region

    NASA Astrophysics Data System (ADS)

    Tsiropoula, G.; Tziotziou, K.; Schwartz, P.; Heinzel, P.

    2009-01-01

    Context: We examine oscillatory phenomena in a solar network region from multi-wavelength observations obtained by the ground-based Dutch Open Telescope (DOT) and by the Coronal Diagnostic Spectrometer (CDS) on the spacecraft Solar and Heliospheric Observatory (SoHO). The observations were obtained during a coordinated observing campaign in October 2005. Aims: We investigate the temporal variations of the intensities and the velocities in two distinct regions of the quiet Sun, one containing several dark mottles and the other several bright points defining the network boundaries (NB). The aim is to find similarities and/or differences in the oscillatory phenomena observed in these two regions and in different spectral lines formed from the chromosphere to the transition region, as well as the propagation characteristics of waves. Methods: Intensity and velocity variations are studied with wavelet and phase difference analyses. Results: Both regions (i.e. mottles and NB) show a periodicity of ~5 min in all considered lines. The V-V phase differences in the NB region point to an upward propagation of waves; in the region of mottles, for periods of 250-400 s, the phase difference is mainly negative, which suggests a downward propagation, in turn indicating a refraction of waves from the inclined magnetic field of mottles along the line-of-sight. Conclusions: The phase differences at the NB arise from a predominance of upward propagating waves. In the mottles' region, the negative phase differences we found suggest that propagating waves encounter a boundary and are refracted and reflected. Of course, several limitations exist in the exact interpretation of the phase differences, e.g. the complex topology of the magnetic field, the formation conditions and heights of the examined spectral lines, and the low spatial resolution.

  15. Regional analysis of energy facility siting

    SciTech Connect

    Lipfert, F W; Meier, P M; Kleinman, L I

    1980-01-01

    This paper has examined some of the regional environmental parameters of energy facility siting, with emphasis on air quality impacts. An example of a siting optimization study was presented, and it was shown how difficult it presently is to specify an environmental objective function that is universally applicable. The importance of regional background effects was discussed, and long-range transport models were used to analyze the relative importance of local and long-range impacts.

  16. Hierarchical manifold learning for regional image analysis.

    PubMed

    Bhatia, Kanwal K; Rao, Anil; Price, Anthony N; Wolz, Robin; Hajnal, Joseph V; Rueckert, Daniel

    2014-02-01

    We present a novel method of hierarchical manifold learning which aims to automatically discover regional properties of image datasets. While traditional manifold learning methods have become widely used for dimensionality reduction in medical imaging, they suffer from only being able to consider whole images as single data points. We extend conventional techniques by additionally examining local variations, in order to produce spatially-varying manifold embeddings that characterize a given dataset. This involves constructing manifolds in a hierarchy of image patches of increasing granularity, while ensuring consistency between hierarchy levels. We demonstrate the utility of our method in two very different settings: 1) to learn the regional correlations in motion within a sequence of time-resolved MR images of the thoracic cavity; 2) to find discriminative regions of 3-D brain MR images associated with neurodegenerative disease.

  17. Regional analysis of road mortality in Europe.

    PubMed

    Eksler, V; Lassarre, S; Thomas, I

    2008-09-01

    Road accidents are the tenth leading cause of premature death worldwide and, based on current trends, are likely to become the third leading cause of disability-adjusted life years lost by 2020. Road mortality varies in time and space both between countries and also between regions within the same country. Identifying and understanding the background of regional differences may lead to better understanding of the sources of road accidents, and enable the application of more effective road safety policies. A Bayesian ecological regression model based on a unified generalized linear mixed model framework is introduced. Population density and country (affiliation) were used as covariates and were fitted into the model at the four levels of spatial aggregation known as 'nomenclature of statistical territorial units (NUTS) regional classification'. Population density has a significant influence on road mortality. For all countries together, the elasticity estimate is -0.32, meaning that a 10% increase in population density is linked to a 3.2% decrease in road fatalities. A multi-level model defined at the NUTS-3 level, taking into account the NUTS-2 aggregation, enables infraregional variances in road mortality to be taken into account and produces the most reliable estimates of the model parameters. Variation in the Bayes relative risk (the mortality ratio 'standardized' by population density and country effect) is highest at the NUTS-3 level, but is lower at country level and NUTS-2 level, which suggests that other important underlying factors are responsible for the variations in road mortality between regions. Mapping the Bayes relative risk enables the identification of regions that should be targeted by national and regional policies. Last but not least, a new ranking of European countries according to their road mortality risk, adjusted for population density, is presented.

  18. Regional trade market analysis: resort marketing approaches

    Treesearch

    David C. Bojanic; Rodney B. Warnick

    1995-01-01

    This paper examines the value of geographic segmentation for a regional ski resort in New England. Customers from different user groups were surveyed along with a list of inquiries and a purchased list, and grouped according to their area of origin. An ANOVA was performed to determine if there were differences in attitudes and trip behaviors between the segments. It...

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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…

  4. 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…

  5. Challenges from Variation across Regions in Cost Effectiveness Analysis in Multi-Regional Clinical Trials

    PubMed Central

    Chu, Yunbo; Dai, Luyan; Qi, Sheng; Smith, Matthew Lee; Huang, Hui; Li, Yang; Shen, Ye

    2016-01-01

    Economic evaluation in the form of cost-effectiveness analysis has become a popular means to inform decisions in healthcare. With multi-regional clinical trials in a global development program becoming a new venue for drug efficacy testing in recent decades, questions in methods for cost-effectiveness analysis in the multi-regional clinical trials setting also emerge. This paper addresses some challenges from variation across regions in cost effectiveness analysis in multi-regional clinical trials. Several discussion points are raised for further attention and a multi-regional clinical trial example is presented to illustrate the implications in industrial application. A general message is delivered to call for a depth discussion by all stakeholders to reach an agreement on a good practice in cost-effectiveness analysis in the multi-regional clinical trials. Meanwhile, we recommend an additional consideration of cost-effectiveness analysis results based on the clinical evidence from a certain homogeneous population as sensitivity or scenario analysis upon data availability. PMID:27840606

  6. 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

  7. 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.

  8. 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.

  9. California Migrant Student Movement Study--Region 4 Analysis.

    ERIC Educational Resources Information Center

    Davis, Benjamin G.

    Fresno County comprises Region 4 of the California Migrant Education Program. The area enjoys a low 6.9% unemployment rate compared to the state average of 7.83%. An analysis of movement patterns of migrant students from, to, and within the state showed that 348 migrant students entered the region from another state in 1977; Texas, Arizona and…

  10. Analysis of novel Sir3 binding regions in Saccharomyces cerevisiae.

    PubMed

    Mitsumori, Risa; Ohashi, Tomoe; Kugou, Kazuto; Ichino, Ayako; Taniguchi, Kei; Ohta, Kunihiro; Uchida, Hiroyuki; Oki, Masaya

    2016-07-01

    In Saccharomyces cerevisiae, the HMR, HML, telomere and rDNA regions are silenced. Silencing at the rDNA region requires Sir2, and silencing at the HMR, HML and telomere regions requires binding of a protein complex, consisting of Sir2, Sir3 and Sir4, that mediates repression of gene expression. Here, several novel Sir3 binding domains, termed CN domains (Chromosomal Novel Sir3 binding region), were identified using chromatin immunoprecipitation (ChIP) on chip analysis of S. cerevisiae chromosomes. Furthermore, analysis of G1-arrested cells demonstrated that Sir3 binding was elevated in G1-arrested cells compared with logarithmically growing asynchronous cells, and that Sir3 binding varied with the cell cycle. In addition to 14 CN regions identified from analysis of logarithmically growing asynchronous cells (CN1-14), 11 CN regions were identified from G1-arrested cells (CN15-25). Gene expression at some CN regions did not differ between WT and sir3Δ strains. Sir3 at conventional heterochromatic regions is thought to be recruited to chromosomes by Sir2 and Sir4; however, in this study, Sir3 binding occurred at some CN regions even in sir2Δ and sir4Δ backgrounds. Taken together, our results suggest that Sir3 exhibits novel binding parameters and gene regulatory functions at the CN binding domains.

  11. Spatial analysis on China's regional air pollutants and CO2 emissions: emission pattern and regional disparity

    NASA Astrophysics Data System (ADS)

    Dong, Liang; Liang, Hanwei

    2014-08-01

    China has suffered from serious air pollution and CO2 emission. Challenges of emission reduction policy not only come from technology advancement, but also generate from the fact that, China has pronounced disparity between regions, in geographical and socioeconomic. How to deal with regional disparity is important to achieve the reduction target effectively and efficiently. This research conducts a spatial analysis on the emission patterns of three air pollutants named SO2, NOx and PM2.5, and CO2, in China's 30 provinces, applied with spatial auto-correlation and multi regression modeling. We further analyze the regional disparity and inequity issues with the approach of Lorenz curve and Gini coefficient. Results highlight that: there is evident cluster effect for the regional air pollutants and CO2 emissions. While emission amount increases from western regions to eastern regions, the emission per GDP is in inverse trend. The Lorenz curve shows an even larger unequal distribution of GDP/emissions than GDP/capita in 30 regions. Certain middle and western regions suffers from a higher emission with lower GDP, which reveal the critical issue of emission leakage. Future policy making to address such regional disparity is critical so as to promote the emission control policy under the “equity and efficiency” principle.

  12. Formation of homogeneous regions for regional frequency analysis of extreme significant wave heights

    NASA Astrophysics Data System (ADS)

    Weiss, Jérôme; Bernardara, Pietro; Benoit, Michel

    2014-05-01

    Regional frequency analysis (RFA) can reduce uncertainties in the estimations of return levels, provided that homogeneous regions can be delineated. In the framework of extreme marine events, a physically based method to form homogeneous regions by identifying typical storms footprints is proposed. First, a spatiotemporal declustering procedure is employed to detect storms generating marine extremes. Second, the identification of the most typical storms footprints relies on a clustering algorithm based on a criterion of storm propagation. The resulting regions are readily explicable: sites from a given region are likely to be impacted by the same storms, and any storm impacting a region is likely to remain enclosed in this region. This procedure is fairly simple to implement, as the only information required is the time of occurrence of the observed extremes. An application to the estimation of extreme significant wave heights from the numerical sea-state database ANEMOC-2 is given. Six regions, both physically and statistically homogeneous, are delineated in the North-East part of the Atlantic Ocean. It is shown that the identification of storms footprints allows the increase of the overall statistical homogeneity. Combined with RFA, the proposed method highlights regional differences in the spatial extent and intensity of storms.

  13. 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…

  14. Thermal analysis of SC quadrupoles in accelerator interaction regions

    SciTech Connect

    Novitski, Igor; Zlobin, Alexander V.; /Fermilab

    2006-09-01

    This paper presents results of a thermal analysis and operation margin calculation performed for NbTi and Nb{sub 3}Sn low-beta quadrupoles in collider interaction regions. Results of the thermal analysis for NbTi quadrupoles are compared with the relevant experimental data. An approach to quench limit measurements for Nb{sub 3}Sn quadrupoles is discussed.

  15. SCOWLP classification: Structural comparison and analysis of protein binding regions

    PubMed Central

    Teyra, Joan; Paszkowski-Rogacz, Maciej; Anders, Gerd; Pisabarro, M Teresa

    2008-01-01

    Background Detailed information about protein interactions is critical for our understanding of the principles governing protein recognition mechanisms. The structures of many proteins have been experimentally determined in complex with different ligands bound either in the same or different binding regions. Thus, the structural interactome requires the development of tools to classify protein binding regions. A proper classification may provide a general view of the regions that a protein uses to bind others and also facilitate a detailed comparative analysis of the interacting information for specific protein binding regions at atomic level. Such classification might be of potential use for deciphering protein interaction networks, understanding protein function, rational engineering and design. Description Protein binding regions (PBRs) might be ideally described as well-defined separated regions that share no interacting residues one another. However, PBRs are often irregular, discontinuous and can share a wide range of interacting residues among them. The criteria to define an individual binding region can be often arbitrary and may differ from other binding regions within a protein family. Therefore, the rational behind protein interface classification should aim to fulfil the requirements of the analysis to be performed. We extract detailed interaction information of protein domains, peptides and interfacial solvent from the SCOWLP database and we classify the PBRs of each domain family. For this purpose, we define a similarity index based on the overlapping of interacting residues mapped in pair-wise structural alignments. We perform our classification with agglomerative hierarchical clustering using the complete-linkage method. Our classification is calculated at different similarity cut-offs to allow flexibility in the analysis of PBRs, feature especially interesting for those protein families with conflictive binding regions. The hierarchical

  16. 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.

  17. Seismic hazard analysis of the Adelaide region, South Australia

    NASA Astrophysics Data System (ADS)

    Setiawan, Bambang

    2017-07-01

    Seismic activity in Australia is categorised as low to moderate. However, the rate of the deformation of the Australian continent is faster than other stable intraplate regions, such as Eastern North America and Africa. Adelaide region is the most seismically active zone in the Australian continent. Therefore, seismic hazard analysis of the Adelaide region is needed to improve the accuracy of seismic hazard predictions. Probabilistic seismic hazard analysis (PSHA) incorporating Monte Carlo simulation is selected in the present paper. This method has several advantages i.e. simple, fast, flexible, and robust. Results of the analysis suggest comparable results with previous studies. Furthermore, two main threats are identified in the de-aggregation for the Adelaide city. Due to the limitation of strong magnitude event and the scarcity of the seismic event, further work is suggested for improving the estimates by extending the seismic catalogue i.e. incorporating neo-tectonic and paleo-seismic studies.

  18. Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation.

    PubMed

    Spence, Janice M; Spence, John P; Abumoussa, Andrew; Burack, W Richard

    2015-01-01

    Tumor heterogeneity is of growing importance in the treatment of cancers. Mutational hot spots are prime locations for determining number and proportions of low variant allele frequency (VAF) tumor subclones by next generation sequencing. Low VAF detection is complicated by poor mapping efficiency in regions with high mutation density. Our Deep-Drilling with iterative Mapping (DDiMAP) method retains variant allele patterns to aid in single nucleotide variation detection and generation of additional reference alleles, with remapping increasing coverage of highly mutated regions to capture data critical to heterogeneity analysis and enhancing sensitivity. DDiMAP outputs variant patterns with frequencies, enabling rapid phylogenetic analysis of ongoing mutation.

  19. [Shift-share analysis on regional industrial pollution growth].

    PubMed

    Gao, Ying-chun; Tong, Lian-jun

    2010-04-01

    Based on the statistical calculation of industrial pollution charge, an extended shift share analysis method was employed to study the regional industrial pollution growth in Jilin Province, and the preferred action for regional industrial ecological transition was discussed from a view point of pollution treatment. The results could be summarized as follows: 1) Proportional shift could suggest some ways to promote industrial ecological transition from the aspect of industrial organization, while differential shift can provide some enlightenment for pollution treatment in terms of technology. The variation coefficients of proportional shift and differential shift at regional scale are 15.78 and 34.05 respectively, and the difference between them implies that production technology plays a much more important role than that of industrial organization in the course of regional industrial ecological transition. 2) Comparing the corresponding components at regional scale and neighborhood scale is meaningful to discover the area which has a dominant effect on regional pollution. As to Jilin Province, it should pay more attention on the pollution reducing in Changchun City and Jilin City. 3) By means of identifying sectoral linkage influence and non-linkage influence on pollutants output, regional pollution types can be grouped into compound category and monomial category, and relevant countermeasures could be adopted to control industrial pollution through industrial organization. 4) The spatial structure of industrial ecological transition in Jilin Province can be divided into four regions which are central area, southeast area, western area and eastern area.

  20. Comparative analysis of hazardous household waste in two Mexican regions.

    PubMed

    Delgado, Otoniel Buenrostro; Ojeda-Benítez, Sara; Márquez-Benavides, Liliana

    2007-01-01

    Household hazardous waste (HHW) generation in two Mexican regions was examined, a northern region (bordering with the USA) and a central region. The aim of this work was to determine the dynamics of solid waste generation and to be able to compare the results of both regions, regarding consumption patterns and solid waste generation rates. In the northern region, household solid waste was analysed quantitatively. In order to perform this analysis, the population was categorized into three socioeconomic strata (lower, middle, upper). Waste characterization revealed the presence of products that give origin to household hazardous waste. In the northern region (Mexicali city), household hazardous waste comprised 3.7% of municipal solid waste, the largest categories in this fraction were home care products (29.2%), cleaning products (19.5%) and batteries and electronic equipment (15.7%). In the central region, HHW comprised 1.03% of municipal solid waste; the main categories in this fraction were represented by cleaning products (39%), self care products (27.3%), and insecticides (14.4%). In Mexicali, the socioeconomic study demonstrated that the production of HHW is independent of the income level. Furthermore, the composition of the solid waste stream in both regions suggested the influence of another set of variables such as local climate, migration patterns and marketing coverage. Further research is needed in order to establish the effect of low quantities of HHW upon the environment and public health.

  1. Contig and FISH analysis of the SMA region

    SciTech Connect

    Vitale, E.; Wang, C.H.; Grunn, A.

    1994-09-01

    The minimum genetic region encompassing the spinal muscular atrophy locus has been limited to approximately 400 Kb. We have covered this region in overlapping YACs and subcloned the YACs into small phage clones. A concerted effort to build a cosmid contig has been complicated by the now well documented incidence of low-copy repeat DNA in the region. To characterize the low copy elements and regions of genomic instability in an effort to facilitate the SMA gene search, we have constructed cosmic and phage contigs across much of the region. Correlation of FISH mapping with STS and exon mapping to overlapping clones provides a preliminary characterization of repeat DNA in the region. The mapping of STS and exon sequences to YAC phage and cosmid clones was used to identify areas of instability across the disease gene region. FISH mapping and analysis of phage derived from the YAC contig are used to verify the 5q11.3 location of genes and probes from the region.

  2. 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.

  3. 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.

  4. Flexible expressed region analysis for RNA-seq with derfinder

    PubMed Central

    Collado-Torres, Leonardo; Nellore, Abhinav; Frazee, Alyssa C.; Wilks, Christopher; Love, Michael I.; Langmead, Ben; Irizarry, Rafael A.; Leek, Jeffrey T.; Jaffe, Andrew E.

    2017-01-01

    Differential expression analysis of RNA sequencing (RNA-seq) data typically relies on reconstructing transcripts or counting reads that overlap known gene structures. We previously introduced an intermediate statistical approach called differentially expressed region (DER) finder that seeks to identify contiguous regions of the genome showing differential expression signal at single base resolution without relying on existing annotation or potentially inaccurate transcript assembly. We present the derfinder software that improves our annotation-agnostic approach to RNA-seq analysis by: (i) implementing a computationally efficient bump-hunting approach to identify DERs that permits genome-scale analyses in a large number of samples, (ii) introducing a flexible statistical modeling framework, including multi-group and time-course analyses and (iii) introducing a new set of data visualizations for expressed region analysis. We apply this approach to public RNA-seq data from the Genotype-Tissue Expression (GTEx) project and BrainSpan project to show that derfinder permits the analysis of hundreds of samples at base resolution in R, identifies expression outside of known gene boundaries and can be used to visualize expressed regions at base-resolution. In simulations, our base resolution approaches enable discovery in the presence of incomplete annotation and is nearly as powerful as feature-level methods when the annotation is complete. derfinder analysis using expressed region-level and single base-level approaches provides a compromise between full transcript reconstruction and feature-level analysis. The package is available from Bioconductor at www.bioconductor.org/packages/derfinder. PMID:27694310

  5. 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.

  6. Multi-scaling allometric analysis for urban and regional development

    NASA Astrophysics Data System (ADS)

    Chen, Yanguang

    2017-01-01

    The concept of allometric growth is based on scaling relations, and it has been applied to urban and regional analysis for a long time. However, most allometric analyses were devoted to the single proportional relation between two elements of a geographical system. Few researches focus on the allometric scaling of multielements. In this paper, a process of multiscaling allometric analysis is developed for the studies on spatio-temporal evolution of complex systems. By means of linear algebra, general system theory, and by analogy with the analytical hierarchy process, the concepts of allometric growth can be integrated with the ideas from fractal dimension. Thus a new methodology of geo-spatial analysis and the related theoretical models emerge. Based on the least squares regression and matrix operations, a simple algorithm is proposed to solve the multiscaling allometric equation. Applying the analytical method of multielement allometry to Chinese cities and regions yields satisfying results. A conclusion is reached that the multiscaling allometric analysis can be employed to make a comprehensive evaluation for the relative levels of urban and regional development, and explain spatial heterogeneity. The notion of multiscaling allometry may enrich the current theory and methodology of spatial analyses of urban and regional evolution.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. Regional Frequency Analysis of extreme rainfall events, Tuscany (Italy)

    NASA Astrophysics Data System (ADS)

    Caporali, E.; Chiarello, V.; Rossi, G.

    2014-12-01

    The assessment of extreme hydrological events at sites characterized by short time series or where no data record exists has been mainly obtained by regional models. Regional frequency analysis based on the index variable procedure is implemented here to describe the annual maximum of rainfall depth of short durations in Tuscany region. The probability distribution TCEV - Two Component Extreme Value is used in the frame of the procedure for the parameters estimation based on a three levels hierarchical approach. The methodology deal with the delineation of homogeneous regions, the identification of a robust regional frequency distribution and the assessment of the scale factor, i.e. the index rainfall. The data set includes the annual maximum of daily rainfall of 351 gauge stations with at least 30 years of records, in the period 1916 - 2012, and the extreme rainfalls of short duration, 1 hour and 3, 6, 12, 24 hours. Different subdivisions hypotheses have been verified. A four regions subdivision, coincident with four subregions, which takes into account the orography, the geomorphological and climatic peculiarities of the Tuscany region, has been adopted. Particularly, for testing the regional homogeneity, the cumulate frequency distributions of the observed skewness and variation coefficients of the recorded times series, are compared with the theoretical frequency distribution obtained through a Monte Carlo technique. The related L-skewness and L-variation coefficients are also examined. The application of the Student t -test and the Wilcoxon test for the mean, as well as the χ2 was also performed. Further tests of subdivision hypotheses have been made through the application of discordancy D and heterogeneity H tests and the analysis of the observed and the theoretical TCEV model growth curves. For each region the daily rainfall growth curve has been estimated. The growth curves for the hourly duration have been estimated when the daily rainfall growth curve

  14. Quantitative analysis and parametric display of regional myocardial mechanics

    NASA Astrophysics Data System (ADS)

    Eusemann, Christian D.; Bellemann, Matthias E.; Robb, Richard A.

    2000-04-01

    Quantitative assessment of regional heart motion has significant potential for more accurate diagnosis of heart disease and/or cardiac irregularities. Local heart motion may be studied from medical imaging sequences. Using functional parametric mapping, regional myocardial motion during a cardiac cycle can be color mapped onto a deformable heart model to obtain better understanding of the structure- to-function relationships in the myocardium, including regional patterns of akinesis or diskinesis associated with ischemia or infarction. In this study, 3D reconstructions were obtained from the Dynamic Spatial Reconstructor at 15 time points throughout one cardiac cycle of pre-infarct and post-infarct hearts. Deformable models were created from the 3D images for each time point of the cardiac cycles. Form these polygonal models, regional excursions and velocities of each vertex representing a unit of myocardium were calculated for successive time-intervals. The calculated results were visualized through model animations and/or specially formatted static images. The time point of regional maximum velocity and excursion of myocardium through the cardiac cycle was displayed using color mapping. The absolute value of regional maximum velocity and maximum excursion were displayed in a similar manner. Using animations, the local myocardial velocity changes were visualized as color changes on the cardiac surface during the cardiac cycle. Moreover, the magnitude and direction of motion for individual segments of myocardium could be displayed. Comparison of these dynamic parametric displays suggest that the ability to encode quantitative functional information on dynamic cardiac anatomy enhances the diagnostic value of 4D images of the heart. Myocardial mechanics quantified this way adds a new dimension to the analysis of cardiac functional disease, including regional patterns of akinesis and diskinesis associated with ischemia and infarction. Similarly, disturbances in

  15. Regional frequency analysis using Growing Neural Gas network

    NASA Astrophysics Data System (ADS)

    Abdi, Amin; Hassanzadeh, Yousef; Ouarda, Taha B. M. J.

    2017-07-01

    The delineation of hydrologically homogeneous regions is an important issue in regional hydrological frequency analysis. In the present study, an application of the Growing Neural Gas (GNG) network for hydrological data clustering is presented. The GNG is an incremental and unsupervised neural network, which is able to adapt its structure during the training procedure without using a prior knowledge of the size and shape of the network. In the GNG algorithm, the Minimum Description Length (MDL) measure as the cluster validity index is utilized for determining the optimal number of clusters (sub-regions). The capability of the proposed algorithm is illustrated by regionalizing drought severities for 40 synoptic weather stations in Iran. To fulfill this aim, first a clustering method is applied to form the sub-regions and then a heterogeneity measure is used to test the degree of heterogeneity of the delineated sub-regions. According to the MDL measure and considering two different indices namely CS and Davies-Bouldin (DB) in the GNG network, the entire study area is subdivided in two sub-regions located in the eastern and western sides of Iran. In order to evaluate the performance of the GNG algorithm, a number of other commonly used clustering methods, like K-means, fuzzy C-means, self-organizing map and Ward method are utilized in this study. The results of the heterogeneity measure based on the L-moments approach reveal that only the GNG algorithm successfully yields homogeneous sub-regions in comparison to the other methods.

  16. 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.

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

    SciTech Connect

    Not Available

    1990-06-12

    This document summarizes progress made on the research of high beta and second region transport and stability. In the area second stability region studies we report on an investigation of the possibility of second region access in the center of TFTR supershots.'' The instabilities found may coincide with experimental observation. Significant progress has been made on the resistive stability properties of high beta poloidal supershot'' discharges. For these studies profiles were taken from the TRANSP transport analysis code which analyzes experimental data. Invoking flattening of the pressure profile on mode rational surfaces causes tearing modes to persist into the experimental range of interest. Further, the experimental observation of the modes seems to be consistent with the predictions of the MHD model. In addition, code development in several areas has proceeded.

  18. Structural Analysis of the ITER VV Lower Port Region

    NASA Astrophysics Data System (ADS)

    Cai, Yingxiang; Wu, Songtao; Yu, Jie

    2007-08-01

    A structural analysis of the International Thermonuclear Experimental Reactor (ITER) vacuum vessel's lower port region was presented by means of a finite element analysis method. The purpose is to evaluate the stress and displacement level on this structure under various combinations of five designed loads, including the gravity of the vacuum vessel, seismic loads, electromagnetic loads, and possible pressure loads to ensure structural safety. The cyclic symmetry finite element model of this structure was developed by using ANSYS code. The results showed that the maximum stress does not exceed the allowable value for any of the load combinations according to ASME code and the nine vacuum vessel (VV) supports have the ability to sustain the entire VV and in vessel-components and withstand load combinations under both normal as well as off-normal operation conditions. Stress mainly concentrates on the connecting region of the VV support and lower port stub extension.

  19. An Analysis of Japanese Hotel Plan Availability ---Regionality and Seasonality---

    NASA Astrophysics Data System (ADS)

    Noda, M.; Sato, A.

    This paper investigates regionality and seasonality of room planavailability in Japan. We employ the singular spectrum analysis to the daily plan availability and extract the trends. We examine the coefficient of a linear relation between a normalized trend at each prefecture and a normalized trend of the whole of Japan. It is concluded that the coefficients, with respect to the four seasons, characterize properties of the prefectures.

  20. Analysis of supersonic combustion flow fields with embedded subsonic regions

    NASA Technical Reports Server (NTRS)

    Dash, S.; Delguidice, P.

    1972-01-01

    The viscous characteristic analysis for supersonic chemically reacting flows was extended to include provisions for analyzing embedded subsonic regions. The numerical method developed to analyze this mixed subsonic-supersonic flow fields is described. The boundary conditions are discussed related to the supersonic-subsonic and subsonic-supersonic transition, as well as a heuristic description of several other numerical schemes for analyzing this problem. An analysis of shock waves generated either by pressure mismatch between the injected fluid and surrounding flow or by chemical heat release is also described.

  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. 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).

  3. 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.

  4. Regional analysis of ground and above-ground climate

    NASA Astrophysics Data System (ADS)

    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. 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 are included. 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 20 locations in the United States.

  5. Analysis of extreme hydrological phenomena in southern Italy (Calabria region)

    NASA Astrophysics Data System (ADS)

    Caloiero, Tommaso; Aceto, Luigi; Aurora Pasqua, A.; Petrucci, Olga

    2017-04-01

    Calabria (southern Italy) is a region exposed to the effects of contrasting climatic and hydrological phenomena. In fact, due to its oblong shape, to its position in the middle of the Mediterranean Basin, and for its mountainous nature, Calabria shows a high spatial variability of the climatic features and of related phenomena such as floods and drought. The present paper is based on the historical database ASICal (Historically flooded areas in Calabria), a catalogue of effects of floods and rain-related landslides that occurred in the region since the XIX Century. The catalogue has been built using the typical historical data sources as chronicles, diaries, historical books, local and regional agencies, press archives, scientific papers, and documents of civil protection offices. From these sources, we selected information on damage caused by rain related phenomena at a municipal scale and chronologically sorted by year, month and day. The analysis of the entire catalogue allows highlighting the regional Damaging Hydrogeological Events (DHE), defined as periods of intense rain causing damage on regional sectors conventionally selected as larger than 30% of the entire regional territory. For each event, as a measure of the magnitude of rainfall, the return period of the daily rainfall recorded during the event has been evaluated. In addition, we recently carried out a similar historical research to identify the main drought events affecting the region. In this case, due to the spatial and temporal characteristics of drought, data are collected both at municipal and regional scale, and the temporal scale is generally monthly or annual. For each event, we used as climatic descriptors a drought index for monitoring drought phenomena. Among drought indices, we used the Standardized Precipitation Index (SPI) which can be considered the most robust and effective, since it can be calculated for different time-scales and can be used to analyse different drought categories

  6. Land Use Adaptation Strategies Analysis in Landslide Risk Region

    NASA Astrophysics Data System (ADS)

    Lin, Yu-Ching; Chang, Chin-Hsin; Chen, Ying-Tung

    2013-04-01

    In order to respond to the impact of climate and environmental change on Taiwanese mountain region, this study used GTZ (2004) Risk analysis guidelines to assess the landslide risk for 178 Taiwanese mountain towns. This study used 7 indicators to assess landslide risk, which are rainfall distribution, natural environment vulnerability (e.g., rainfall threshold criterion for debris flow, historical disaster frequency, landslide ratio, and road density), physicality vulnerability (e.g., population density) and socio-economic vulnerability (e.g., population with higher education, death rate and income). The landslide risk map can be obtained by multiplying 7 indicators together and ranking the product. The map had 5 risk ranges, and towns within the range of 4 to 5, which are high landslide risk regions, and have high priority in reducing risk. This study collected the regions with high landslide risk regions and analyzed the difference after Typhoon Morakot (2009). The spatial distribution showed that after significant environmental damage high landslide risk regions moved from central to south Taiwan. The changeable pattern of risk regions pointed out the necessity of updating the risk map periodically. Based on the landslide risk map and the land use investigation data which was provided by the National Land Surveying and Mapping Center in 2007, this study calculated the size of the land use area with landslide disaster risk. According to the above results and discussion, this study can be used to suggest appropriate land use adaptation strategies provided for reducing landslide risk under the impact of climate and environmental change.

  7. Regionally Smoothed Meta-Analysis Methods for GWAS Datasets.

    PubMed

    Begum, Ferdouse; Sharker, Monir H; Sherman, Stephanie L; Tseng, George C; Feingold, Eleanor

    2016-02-01

    Genome-wide association studies are proven tools for finding disease genes, but it is often necessary to combine many cohorts into a meta-analysis to detect statistically significant genetic effects. Often the component studies are performed by different investigators on different populations, using different chips with minimal SNPs overlap. In some cases, raw data are not available for imputation so that only the genotyped single nucleotide polymorphisms (SNPs) results can be used in meta-analysis. Even when SNP sets are comparable, different cohorts may have peak association signals at different SNPs within the same gene due to population differences in linkage disequilibrium or environmental interactions. We hypothesize that the power to detect statistical signals in these situations will improve by using a method that simultaneously meta-analyzes and smooths the signal over nearby markers. In this study, we propose regionally smoothed meta-analysis methods and compare their performance on real and simulated data. © 2015 WILEY PERIODICALS, INC.

  8. REGIONALLY SMOOTHED META-ANALYSIS METHODS FOR GWAS DATASETS

    PubMed Central

    Begum, Ferdouse; Sharker, Monir H.; Sherman, Stephanie L.; Tseng, George C.; Feingold, Eleanor

    2015-01-01

    Genome-wide association studies (GWAS) are proven tools for finding disease genes, but it is often necessary to combine many cohorts into a meta-analysis to detect statistically significant genetic effects. Often the component studies are performed by different investigators on different populations, using different chips with minimal SNPs overlap. In some cases, raw data are not available for imputation so that only the genotyped SNP results can be used in meta-analysis. Even when SNP sets are comparable, different cohorts may have peak association signals at different SNPs within the same gene due to population differences in linkage disequilibrium or environmental interactions. We hypothesize that the power to detect statistical signals in these situations will improve by using a method that simultaneously meta-analyzes and smooths the signal over nearby markers. In this study we propose regionally smoothed meta-analysis (RSM) methods and compare their performance on real and simulated data. PMID:26707090

  9. 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.

  10. Automated IFU Analysis: Narrow Line Region Outflows In Mrk 3

    NASA Astrophysics Data System (ADS)

    Fischer, Travis C.; Crenshaw, D. Michael; Pope, Crystal

    2015-08-01

    As Integral Field Unit (IFU) observations and large spectral surveys continue to become more prevalent, the handling of thousands of spectra has become common place. Establishing a method that will easily allow for multiple-component analysis of emission-line features, as often seen in the Narrow-Line Regions (NLRs) of nearby Active Galactic Nuclei (AGN), in an automated fashion would be of great use to the community. We present such an analysis for the NLR kinematics in the Type 2 Seyfert AGN Mrk 3, based on observations from the Gemini Near Infrared Integral Field Spectrograph (NIFS). By incorporating Bayesian model selection into our analysis, the fitting of multiple kinematic components is performed while simultaneously determining the correct number of components in each spectrum, streamlining the line measurements for a large number of spectra into a single process.

  11. 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

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

    PubMed

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

    2010-10-26

    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. 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. 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. 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.

  13. 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

  14. Multi-wavelength Analysis of a Solar Network Region

    NASA Astrophysics Data System (ADS)

    Tsiropoula, G.; Tziotziou, K.; Schwartz, P.; Heinzel, P.

    We analyse co-temporal observations of a network region found near the solar disc centre, obtained by the Dutch Open Telescope (DOT) and the Coronal Diagnostic Spectrometer (CDS) on-board SOHO during a coordinated observing campaign in October 2005. DOT obtained images in 5 wavelengths along the ha\\ profile, while CDS obtained sit-and-stare observations in several EUV spectral lines that span the upper solar atmosphere. After fitting the CDS spectral line profiles we obtained 2-D space-time maps of intensities, Doppler velocities and Doppler widths. We study the appearance of the network region in the different spectral lines and the temporal variations of the obtained physical parameters. We employ a wavelet analysis to examine the existence of oscillations at the network in the different solar layers.

  15. Study on the validity region of Energy Finite Element Analysis

    NASA Astrophysics Data System (ADS)

    Kong, Xiangjie; Chen, Hualing; Zhu, Danhui; Zhang, Wenbo

    2014-04-01

    The validity domain of Energy Finite Element Analysis (EFEA) is studied in this paper. The validity region and criterion of EFEA are studied theoretically from the formation of reverberant plane wave field, one of the main assumptions of EFEA. The studies are acquired by virtue of the equation of radiative energy transfer method, a similar wave method that can express the direct field and its conversion relationship with reverberant field exactly. The result shows that the SEA criterion of diffuse field derived by Le Bot can be used as a good indicator for the EFEA validity. Numerical simulations on a rectangular plate with different physical parameters are applied to validate the criterion. The validity region and the diagrams of validity of EFEA are assessed and discussed. Some noteworthy conclusions about EFEA are drawn.

  16. 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.

  17. Regional Frequency Analysis of Annual Maximum Streamflow in Gipuzkoa (Spain)

    NASA Astrophysics Data System (ADS)

    Erro, J.; López, J. J.

    2012-04-01

    Extreme streamflow events have been an important cause of recent flooding in Gipuzkoa, and any change in the magnitude of such events may have severe impacts upon urban structures such as dams, urban drainage systems and flood defences, and cause failures to occur. So a regional frequency analysis of annual maximum streamflow was developed for Gipuzkoa, using the well known L-moments approach together with the index-flood procedure, and following the four steps that characterize it: initial screening of the data, identification of homogeneous regions, choice of the appropriate frequency distribution and estimation of quantiles for different return periods. The preliminary study, completed in 2009, was based on the observations recorded at 22 stations distributed throughout the area. A primary filtering of the data revealed the absence of jumps, inconsistencies and changes in trends within the series, and the discordancy measures showed that none of the sites used in the analysis had to be considered discordant with the others. Regionalization was performed by cluster analysis, grouping the stations according to eight physical site characteristics: latitude, longitude, drainage basin area, elevation, main channel length of the basin, slope, annual mean rainfall and annual maximum rainfall. It resulted in two groups - one cluster with the 18 sites of small-medium basin area, and a second cluster with the 4 remaining sites of major basin area - in which the homogeneity criteria were tested and satisfied. However, the short lenght of the series together with the introduction of the observations of 2010 and the inclusion of a historic extreme streamflow event occurred in northern Spain in November 2011, completely changed the results. With this consideration and adjustment, all Gipuzkoa could be treated as a homogeneus region. The goodness-of-fit measures indicated that Generalized Logistic (GLO) is the only suitable distribution to characterize Gipuzkoa. Using the

  18. Automated regional behavioral analysis for human brain images

    PubMed Central

    Lancaster, Jack L.; Laird, Angela R.; Eickhoff, Simon B.; Martinez, Michael J.; Fox, P. Mickle; Fox, Peter T.

    2012-01-01

    Behavioral categories of functional imaging experiments along with standardized brain coordinates of associated activations were used to develop a method to automate regional behavioral analysis of human brain images. Behavioral and coordinate data were taken from the BrainMap database (http://www.brainmap.org/), which documents over 20 years of published functional brain imaging studies. A brain region of interest (ROI) for behavioral analysis can be defined in functional images, anatomical images or brain atlases, if images are spatially normalized to MNI or Talairach standards. Results of behavioral analysis are presented for each of BrainMap's 51 behavioral sub-domains spanning five behavioral domains (Action, Cognition, Emotion, Interoception, and Perception). For each behavioral sub-domain the fraction of coordinates falling within the ROI was computed and compared with the fraction expected if coordinates for the behavior were not clustered, i.e., uniformly distributed. When the difference between these fractions is large behavioral association is indicated. A z-score ≥ 3.0 was used to designate statistically significant behavioral association. The left-right symmetry of ~100K activation foci was evaluated by hemisphere, lobe, and by behavioral sub-domain. Results highlighted the classic left-side dominance for language while asymmetry for most sub-domains (~75%) was not statistically significant. Use scenarios were presented for anatomical ROIs from the Harvard-Oxford cortical (HOC) brain atlas, functional ROIs from statistical parametric maps in a TMS-PET study, a task-based fMRI study, and ROIs from the ten “major representative” functional networks in a previously published resting state fMRI study. Statistically significant behavioral findings for these use scenarios were consistent with published behaviors for associated anatomical and functional regions. PMID:22973224

  19. Automated regional behavioral analysis for human brain images.

    PubMed

    Lancaster, Jack L; Laird, Angela R; Eickhoff, Simon B; Martinez, Michael J; Fox, P Mickle; Fox, Peter T

    2012-01-01

    Behavioral categories of functional imaging experiments along with standardized brain coordinates of associated activations were used to develop a method to automate regional behavioral analysis of human brain images. Behavioral and coordinate data were taken from the BrainMap database (http://www.brainmap.org/), which documents over 20 years of published functional brain imaging studies. A brain region of interest (ROI) for behavioral analysis can be defined in functional images, anatomical images or brain atlases, if images are spatially normalized to MNI or Talairach standards. Results of behavioral analysis are presented for each of BrainMap's 51 behavioral sub-domains spanning five behavioral domains (Action, Cognition, Emotion, Interoception, and Perception). For each behavioral sub-domain the fraction of coordinates falling within the ROI was computed and compared with the fraction expected if coordinates for the behavior were not clustered, i.e., uniformly distributed. When the difference between these fractions is large behavioral association is indicated. A z-score ≥ 3.0 was used to designate statistically significant behavioral association. The left-right symmetry of ~100K activation foci was evaluated by hemisphere, lobe, and by behavioral sub-domain. Results highlighted the classic left-side dominance for language while asymmetry for most sub-domains (~75%) was not statistically significant. Use scenarios were presented for anatomical ROIs from the Harvard-Oxford cortical (HOC) brain atlas, functional ROIs from statistical parametric maps in a TMS-PET study, a task-based fMRI study, and ROIs from the ten "major representative" functional networks in a previously published resting state fMRI study. Statistically significant behavioral findings for these use scenarios were consistent with published behaviors for associated anatomical and functional regions.

  20. Arms Transfers: A System Dynamics Analysis Focusing on Regional Stability.

    DTIC Science & Technology

    1983-12-01

    73 IS OSOLET E . .. JILASSIIE]L.. SECURITY C14 A :PIrATInN (.S TWIM 04rc.- .- l° AFIT/GOR/OS/83D-8 ARMS TRANSFERS: A SYSTEM DYNA’ICS ALYSIS FOCUSING...regional stability. 5. Provide guidance and instructions on how to use and alter the model for specific policy analysis. Scot e This research is...a system, and that not all societal groups are the same. Durkheim insisted that his theory of anowia must be interpreted frorr a contingency point of

  1. 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

  2. Alcohol policy in a Russian region: a stakeholder analysis.

    PubMed

    Gil, Artyom; Polikina, Olga; Koroleva, Natalia; Leon, David A; McKee, Martin

    2010-10-01

    Male life expectancy in the Russian Federation, at 60 years, is the lowest in Europe. Several factors contribute to this situation, but hazardous consumption of alcohol is especially a key factor. We undertook a stakeholder analysis in a typical Russian region located on the western side of the Urals. Organizations with a stake in alcohol policy in the region were identified by snowball sampling and information on their position and influence on alcohol policy was elicited from interviews with key informants. Their interests and influence were mapped and their relationships plotted. Twenty-nine stakeholder organizations were identified and 43 interviews were conducted with their staff. The most influential actors were the Federal and regional governments, large beer producers and manufacturers of strong alcohols. However, the majority of organizations that might be expected to play a role in developing or implementing alcohol control policies were almost entirely disengaged and fragmented. No evidence was found of an existing or emerging multi-sectoral coalition for developing alcohol policy to improve health. Organizations that might be expected to contribute to tackling hazardous drinking had little understanding of what might be effective. While stakeholders with an interest in maintaining or increasing alcohol consumption are engaged and influential, those who might seek to reduce it either take a very narrow perspective or are disengaged from the policy agenda. There is a need to mobilize actors who might contribute to effective policies while challenging those who can block them.

  3. Alcohol policy in a Russian region: a stakeholder analysis

    PubMed Central

    Polikina, Olga; Koroleva, Natalia; Leon, David A.; McKee, Martin

    2010-01-01

    Background: Male life expectancy in the Russian Federation, at 60 years, is the lowest in Europe. Several factors contribute to this situation, but hazardous consumption of alcohol is especially a key factor. Methods: We undertook a stakeholder analysis in a typical Russian region located on the western side of the Urals. Organizations with a stake in alcohol policy in the region were identified by snowball sampling and information on their position and influence on alcohol policy was elicited from interviews with key informants. Their interests and influence were mapped and their relationships plotted. Results: Twenty-nine stakeholder organizations were identified and 43 interviews were conducted with their staff. The most influential actors were the Federal and regional governments, large beer producers and manufacturers of strong alcohols. However, the majority of organizations that might be expected to play a role in developing or implementing alcohol control policies were almost entirely disengaged and fragmented. No evidence was found of an existing or emerging multi-sectoral coalition for developing alcohol policy to improve health. Organizations that might be expected to contribute to tackling hazardous drinking had little understanding of what might be effective. Conclusions: While stakeholders with an interest in maintaining or increasing alcohol consumption are engaged and influential, those who might seek to reduce it either take a very narrow perspective or are disengaged from the policy agenda. There is a need to mobilize actors who might contribute to effective policies while challenging those who can block them. PMID:20350932

  4. 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.

  5. 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

  6. 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

  7. Regional Soiling Stations for PV: Soling Loss Analysis

    SciTech Connect

    TamizhMani, G.; King, B.; Venkatesan, A.; Deline, Chris; Pavgi, A.; Tatapudi, S.; Kuitche, J.; Chokor, A.; El Asmar, M.

    2016-11-21

    The soiling loss factor (SLF) of photovoltaic (PV) modules/system is an interplay between the dust frequency and intensity of the site, rain frequency and intensity of the site, tilt angle and height of the module installation, and wind speed and humidity of the site. The integrated area of the downward peaks of the SLF time series plots for a year provides the annual soiling loss for the system at each tilt angle. Sandia National Laboratories, in collaboration with Arizona State University, installed five regional soiling stations around the country and collected soiling loss data over a year. Four of these soiling stations are located at the U.S. Department of Energy Regional Test Centers (Florida, Albuquerque, Colorado and Vermont), while the fifth station is located at the Arizona State University Photovoltaic Reliability Lab (Arizona). This paper presents an analysis on the SLF for each test site at ten different tilt angles. Based on the analysis of a yearlong data obtained in 2015, it appears to indicate that the Arizona site experienced the highest annual soiling loss with a significant dependence on the tilt angle while the other four sites experienced a negligibly small annual soiling loss with practically no dependence on the tilt angle.

  8. Regional Scale Analysis of Extremes in an SRM Geoengineering Simulation

    NASA Astrophysics Data System (ADS)

    Muthyala, R.; Bala, G.

    2014-12-01

    Only a few studies in the past have investigated the statistics of extreme events under geoengineering. In this study, a global climate model is used to investigate the impact of solar radiation management on extreme precipitation events on regional scale. Solar constant was reduced by 2.25% to counteract the global mean surface temperature change caused by a doubling of CO2 (2XCO2) from its preindustrial control value. Using daily precipitation rates, extreme events are defined as those which exceed 99.9th percentile precipitation threshold. Extremes are substantially reduced in geoengineering simulation: the magnitude of change is much smaller than those that occur in a simulation with doubled CO2. Regional analysis over 22 Giorgi land regions is also performed. Doubling of CO2 leads to an increase in intensity of extreme (99.9th percentile) precipitation by 17.7% on global-mean basis with maximum increase in intensity over South Asian region by 37%. In the geoengineering simulation, there is a global-mean reduction in intensity of 3.8%, with a maximum reduction over Tropical Ocean by 8.9%. Further, we find that the doubled CO2 simulation shows an increase in the frequency of extremes (>50 mm/day) by 50-200% with a global mean increase of 80%. In contrast, in geo-engineering climate there is a decrease in frequency of extreme events by 20% globally with a larger decrease over Tropical Ocean by 30%. In both the climate states (2XCO2 and geo-engineering) change in "extremes" is always greater than change in "means" over large domains. We conclude that changes in precipitation extremes are larger in 2XCO2 scenario compared to preindustrial climate while extremes decline slightly in the geoengineered climate. We are also investigating the changes in extreme statistics for daily maximum and minimum temperature, evapotranspiration and vegetation productivity. Results will be presented at the meeting.

  9. Analysis Of The High Temperature Region In Be Stars

    NASA Astrophysics Data System (ADS)

    Torres, A. F.; Ringuelet, A. E.

    2006-08-01

    The High Temperature Region (HTR) that surrounds the photospheres of Be stars is studied in order to derive observational constraints for modelling Be stars, in particular for the region where superionization takes place. 50 Be stars, representative of a considerable range of temperature, were chosen. From archival, high-dispersion IUE spectra, different lines that originate in the HTR region were considered, namely the resonance lines of Si IV, C IV and Al III, and He II λ 1640. Equivalent widths (corrected for photospheric contribution), optical depths, atom columns and expansion velocities were measured. From this observational data several correlations between different observables were obtained. These correlations permit us to discuss the geometry, density distribution and heat input of the lines formation regions (LFRs). The major results can be summarised as follows: 1) The circumstellar material contributes to the resonance lines of Si IV, C IV, Al III and to the He II λ 1640 at all inclination angles. 2) In Si IV, C IV and Al III the equivalent widths have a tendency to increase in objects with high rotational velocities. 3) Si IV and C IV equivalent widths are also correlated to the kinetic energy of the expansion velocity. This means that dissipation of mechanical energy is one of the heating mechanisms. 4)On the basis of the expansion velocities and the line profiles, we establish a sequence for the LFRs: The LFR of He II is at the base of the wind and the closest to the central star. The LFRs of Si IV and C IV are inmersed in the stellar wind. The LFR of Al III is an interface between the HTR and the cool envelope. The analysis followed in this work is completely model-independent. Consequently, these results could be useful to decide which are the facts that are to be considered when modelling Be stars.

  10. [Microbiological analysis of terrestrial biotopes of the Antarctic region].

    PubMed

    Tashirev, A B; Romanovskaia, V A; Rokitko, P V; Shilin, S O; Chernaia, N A; Tashireva, A A

    2010-01-01

    Microbiological analysis has been made of 120 samples from biotopes of the western coast of the Antarctic peninsula (Rasmussen cope, Tuxen cope, Waugh mountain), Argentine archipelago islands (Galindez, Skua, Corner, Barchans, Irizar, Uruguay, Cluls, Three Little Pigs, King-George), as well as neighbouring islands (Petermann--on the north, a group of Jalour islands--on the east, Berthelot--on the south-east); and more remote islands (Darboux, Lippmann, Booth). It was found out that the total number of chemoorganotrophic aerobic microorganisms was 10(6) - 10(8) cells/g of soil, that was by 2-3 orders lower than in the regions with temperate climate. One can observe a tendency of decreasing the quantity of chemoorganotrophic microorganisms in the Antartic biotopes (cells/g of a sample) in the following order: soil (1 x 10(7) - 8 x 10(8)), underground part of moss (1 x 10(6) - 5 x 10(7)), grass Deschampsia antarctica (10(6) - 10(8), slit of fresh-water reservoir (10(5) - 10(7)), ground part of moss (10(3) - 10(6)), lichens (10(3) - 10(6)). Representatives of several phylogenetic lines: Proteobacteria (genera Pseudomonas, Methylobacterium, Enterobacter), Firmicutes (genera Bacillus, Staphylococcus), Actinobacteria (genera Brevibacterium, Actinomyces, Streptomyces) have been found in the Antarctic samples. As a rule, genera of bacteria found in the Antarctic Region are widely distributed in different regions of the Earth with temperate climate. Microorganisms similar to the species Exophiala nigra (Issatsch.) Haats et de Hoog 1999, which was first detected 100 years ago by Academician B.L. Isachenko in the Arctic region water, were also isolated from biofilms on vertical rocks of the Galindez Island as well as from the soil of the Irizar Island.

  11. Delineation and Analysis of Chromosomal Regions Specifying Yersinia pestis▿ †

    PubMed Central

    Derbise, Anne; Chenal-Francisque, Viviane; Huon, Christèle; Fayolle, Corinne; Demeure, Christian E.; Chane-Woon-Ming, Béatrice; Médigue, Claudine; Hinnebusch, B. Joseph; Carniel, Elisabeth

    2010-01-01

    Yersinia pestis, the causative agent of plague, has recently diverged from the less virulent enteropathogen Yersinia pseudotuberculosis. Its emergence has been characterized by massive genetic loss and inactivation and limited gene acquisition. The acquired genes include two plasmids, a filamentous phage, and a few chromosomal loci. The aim of this study was to characterize the chromosomal regions acquired by Y. pestis. Following in silico comparative analysis and PCR screening of 98 strains of Y. pseudotuberculosis and Y. pestis, we found that eight chromosomal loci (six regions [R1pe to R6pe] and two coding sequences [CDS1pe and CDS2pe]) specified Y. pestis. Signatures of integration by site specific or homologous recombination were identified for most of them. These acquisitions and the loss of ancestral DNA sequences were concentrated in a chromosomal region opposite to the origin of replication. The specific regions were acquired very early during Y. pestis evolution and were retained during its microevolution, suggesting that they might bring some selective advantages. Only one region (R3pe), predicted to carry a lambdoid prophage, is most likely no longer functional because of mutations. With the exception of R1pe and R2pe, which have the potential to encode a restriction/modification and a sugar transport system, respectively, no functions could be predicted for the other Y. pestis-specific loci. To determine the role of the eight chromosomal loci in the physiology and pathogenicity of the plague bacillus, each of them was individually deleted from the bacterial chromosome. None of the deletants exhibited defects during growth in vitro. Using the Xenopsylla cheopis flea model, all deletants retained the capacity to produce a stable and persistent infection and to block fleas. Similarly, none of the deletants caused any acute flea toxicity. In the mouse model of infection, all deletants were fully virulent upon subcutaneous or aerosol infections. Therefore

  12. Delineation and analysis of chromosomal regions specifying Yersinia pestis.

    PubMed

    Derbise, Anne; Chenal-Francisque, Viviane; Huon, Christèle; Fayolle, Corinne; Demeure, Christian E; Chane-Woon-Ming, Béatrice; Médigue, Claudine; Hinnebusch, B Joseph; Carniel, Elisabeth

    2010-09-01

    Yersinia pestis, the causative agent of plague, has recently diverged from the less virulent enteropathogen Yersinia pseudotuberculosis. Its emergence has been characterized by massive genetic loss and inactivation and limited gene acquisition. The acquired genes include two plasmids, a filamentous phage, and a few chromosomal loci. The aim of this study was to characterize the chromosomal regions acquired by Y. pestis. Following in silico comparative analysis and PCR screening of 98 strains of Y. pseudotuberculosis and Y. pestis, we found that eight chromosomal loci (six regions [R1pe to R6pe] and two coding sequences [CDS1pe and CDS2pe]) specified Y. pestis. Signatures of integration by site specific or homologous recombination were identified for most of them. These acquisitions and the loss of ancestral DNA sequences were concentrated in a chromosomal region opposite to the origin of replication. The specific regions were acquired very early during Y. pestis evolution and were retained during its microevolution, suggesting that they might bring some selective advantages. Only one region (R3pe), predicted to carry a lambdoid prophage, is most likely no longer functional because of mutations. With the exception of R1pe and R2pe, which have the potential to encode a restriction/modification and a sugar transport system, respectively, no functions could be predicted for the other Y. pestis-specific loci. To determine the role of the eight chromosomal loci in the physiology and pathogenicity of the plague bacillus, each of them was individually deleted from the bacterial chromosome. None of the deletants exhibited defects during growth in vitro. Using the Xenopsylla cheopis flea model, all deletants retained the capacity to produce a stable and persistent infection and to block fleas. Similarly, none of the deletants caused any acute flea toxicity. In the mouse model of infection, all deletants were fully virulent upon subcutaneous or aerosol infections. Therefore

  13. 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

  14. 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.

  15. Multi - Region Analysis of a New Climate Extremes Index

    NASA Astrophysics Data System (ADS)

    Dittus, A. J.; Karoly, D. J.; Lewis, S. C.; Alexander, L. V.

    2014-12-01

    In this study, a new Climate Extremes Index (CEI) is introduced, extending the earlier combined CEI proposed by Karl et al. (1996). It is based on the use of standard extreme indices derived from daily meteorological station data, facilitating the computation of this index and making use of two global gridded extreme indices datasets. The index combines the fraction of area experiencing extreme conditions in daily temperature and daily and annual precipitation, therefore representing a combined measure of extremes. The analysis of this index at the global scale is limited by data availability. In this study, the four continental-scale regions analysed are Europe, North America, Asia and Australia over the period from 1951 to 2010. Additionally, the index is also computed for the entire Northern Hemisphere, corresponding to the first CEI results at the hemispheric scale. Results show statistically significant increases in the percentage area experiencing much above average warm days and nights and much below average cool days and nights for all regions, with the exception of North America for maximum temperature extremes. Increases in the area affected by precipitation extremes are also found for the Northern Hemisphere regions, particularly Europe. This study shows the potential of this new index for climate monitoring and other applications by documenting large-scale changes in the areas experiencing climate extremes. Preliminary detection and attribution results will also be presented using extreme indices computed for the Coupled Model Intercomparison Project Phase 5 climate model simulations (Sillmann et al., 2013). Karl, T. R., R. W. Knight, D. R. Easterling, and R. G. Quayle, 1996: Indices of climate change for the United States. Bull. Amer. Meteor. Soc., 77, 279-292. Sillmann, J., V. V. Kharin, X. Zhang, F. W. Zwiers, and D. Bronaugh (2013), Climate extremes indices in the CMIP5 multimodel ensemble: Part 1. Model evaluation in the present climate, J. Geophys

  16. Annual report: Site monitoring and analysis, Region 1

    SciTech Connect

    Jaffe, L.B.

    1991-08-01

    This report has been prepared in accordance with the requirements of the agreement between the United States Department of Energy (DOE), Boston Support Office (BSO) and B M Technological Services, Inc. (B M). Volume I contains summary analyses of information collected on-site at fifteen (15) selected DOE Weatherization Assistance Programs (WAP) in the New England Region. Data and analyses specific to each site visit and state are provided in accompanying volumes II, III and IV. The purpose of the report is to analyze information which will allow DOE/BSO to determine if subgrantees are in compliance with DOE WAP regulations. Compliance has been tested in three areas only: procurement procedures, client files and unit completions. In addition, successful and unsuccessful program strategies have been identified and analyzed. An innovative instrument was developed and used for data collection and analysis in the major and subgroup areas of compliance testing and program strategies.

  17. Annual report: Site monitoring and analysis, Region 1. Volume 1

    SciTech Connect

    Jaffe, L.B.

    1991-08-01

    This report has been prepared in accordance with the requirements of the agreement between the United States Department of Energy (DOE), Boston Support Office (BSO) and B & M Technological Services, Inc. (B & M). Volume I contains summary analyses of information collected on-site at fifteen (15) selected DOE Weatherization Assistance Programs (WAP) in the New England Region. Data and analyses specific to each site visit and state are provided in accompanying volumes II, III and IV. The purpose of the report is to analyze information which will allow DOE/BSO to determine if subgrantees are in compliance with DOE WAP regulations. Compliance has been tested in three areas only: procurement procedures, client files and unit completions. In addition, successful and unsuccessful program strategies have been identified and analyzed. An innovative instrument was developed and used for data collection and analysis in the major and subgroup areas of compliance testing and program strategies.

  18. Sequence Analysis of the Direct Repeat Region in Mycobacterium bovis

    PubMed Central

    Caimi, Karina; Romano, Maria I.; Alito, Alicia; Zumarraga, Martin; Bigi, Fabiana; Cataldi, Angel

    2001-01-01

    Spoligotyping is a major tool for molecular typing of Mycobacterium bovis. This technique is based on the polymorphism of spacers that separate direct repeats (DRs) in the M. tuberculosis complex DR region. Numerous M. bovis strains show a lack of several spacers which appears as a gap in the spoligotyping pattern. To determine whether these gaps contain alternative spacers not included in the spoligotyping membrane, PCRs using primers that hybridize to the spacers adjacent to the gaps were performed. Comparing the sizes of products obtained by PCR with those deduced from spoligotyping patterns, fragments were selected and sequenced to look for alternative spacers. Upon analysis of the sequences, five alternative spacers were detected, although deletions of spacers are mainly responsible for the observed gaps. The alternative spacers, which are more frequent in M. bovis than in M. tuberculosis, may contribute to increased M. bovis differentiation. PMID:11230428

  19. 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.

  20. 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

  1. 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.

  2. A geographical analysis of air pollution in the Tucson region

    NASA Astrophysics Data System (ADS)

    Diem, Jeremy Everett

    This dissertation presents a geographical analysis of air pollution in the Tucson region. Image processing, geographic information system (GIS), climatological, and statistical tools are used to develop and analyze air pollution-related databases. These databases are then used in conjunction with a limited number of spatial measurements of ozone concentrations to create accurate and theoretically sound ground-level ozone maps. High spatial resolution, gridded, multi-temporal, atmospheric emissions inventories (EIs) of ozone precursor chemical (i.e. volatile organic compounds (VOCs) and nitrogen oxides (NOx)) emissions are initially developed. GIS-driven "top-down" and "bottom-up" methods are employed to create anthropogenic VOC and NOx emissions inventories while satellite imagery and field surveys are employed to create biogenic VOC (BVOC) emissions inventories. Accounting for approximately 50% of the anthropogenic emissions, on-road vehicles are the dominant anthropogenic source. The forest and desert lands emit nearly all of the BVOCs within the entire Tucson region while exotic trees such as eucalyptus, pine, and palm emit most of the BVOCs within the City of Tucson. Relationships between VOC and NOx emissions, atmospheric conditions, and ambient ozone levels are determined by examining spatio-temporal variations in ozone levels, temporal variations in VOC and NOx emissions and atmospheric conditions, atmospheric conditions which are conducive to elevated ozone levels. In addition, the likelihood of ozone transport from Phoenix to Tucson is assessed. The highest ozone levels occur at "rural," downwind monitors, occur in August, and occur during the early afternoon hours. Atmospheric conditions conducive to elevated concentrations differ between the months while inter-city ozone transport is most likely to occur in June. Pooled, cross-sectional, times series, regression models are developed with the aid of cluster analysis and principal components analysis to

  3. Analysis of damaging hydrogeological events in a Mediterranean region (Calabria)

    NASA Astrophysics Data System (ADS)

    Aceto, Luigi; Caloiero, Tommaso; Pasqua, A. A.; Petrucci, Olga

    2016-10-01

    Damaging Hydrogeological Events (DHEs) are periods of severe weather conditions affecting wide areas for several days, and causing mainly damaging landslides and floods. In order to characterise the DHEs, we analysed the historical series of the events that affected a Mediterranean region (Calabria, southern Italy) throughout 92 years of observation. Depending on their magnitude, we classified the events as: major catastrophic, catastrophic, extraordinary and ordinary. In winter events, damaged areas and damage were greater than those resulting from the other seasons. Nevertheless, the majority of the events took place in autumn, when, in addition to landslides, a relevant percentage of flash floods and floods also occurred. Results also show that the frequency of major catastrophic and catastrophic events has decreased since 1971, and that, in recent decades, Calabria has suffered from damaging effects even though rain did not reached extreme characteristics. In fact, the duration of triggering rain, the maximum daily rain of the events and the out coming frequency of the high return period of rain show a decreasing pattern throughout the study period. As to what concerns the damaging phenomena, landslides were identified as the most frequent in every season and in every type of events, the eastern side of the region was the most frequently and heavily damaged. According to literature, the trend of number of victims per event is also decreasing. The proposed analysis can be applied to different study areas in order to assess the relative magnitude of DHEs and their evolution throughout the years. The classification criterion can be useful to compare different events for either scientific or insurance purposes, and to identify the typical rainfall-damage scenario of a study area.

  4. 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). Copyright © 2015 Elsevier Inc. All rights reserved.

  5. Interactive Retinal Blood Flow Analysis of the Macular Region

    PubMed Central

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

    2015-01-01

    The study of retinal hemodynamics plays an important role to understand the onset and progression of diabetic retinopathy which is a leading cause of blindness in American adults. 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-3005, Optical Imaging, Rehovot, Israel). By employing a high definition stroboscopic fundus camera, the RFI device is able to assess retinal blood flow characteristics in vivo even in the capillaries. 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 as well as BFR in the macular region. Optical coherence tomography (OCT) data from commercially available devices were 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) which other currently available devices targeting the retinal microcirculation are not yet capable of. 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 were 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% in the RFI built-in software to 15.9% in our proposed method (p<0.001). PMID:26569349

  6. Gulf Coast regional aquifer-system analysis; a Mississippi perspective

    USGS Publications Warehouse

    Grubb, H.F.

    1986-01-01

    The Gulf Coast Regional Aquifer-System Analysis is a study of regional aquifers in sediments of mostly Cenozoic age in an area of about 230,000 sq mi in the Central Plain of Alabama, Arkansas , Florida, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee, and Texas, and an additional 60,000 sq mi offshore. Three aquifer systems have been identified: the Mississippi embayment aquifer system, the Texas coastal uplands aquifer system, and the coastal lowlands aquifer system. These aquifer systems thicken from < 100 ft near their updip limit to thousands of ft gulfward toward their downdip limits. The Mississippi embayment aquifer system exceeds 5,000 ft in thickness in central Louisiana and in southwestern Mississippi. The thickest area in southwestern Mississippi underlies most of the six Mississippi counties, centered around Jefferson County. The greatest thickness of the coastal lowlands aquifer system in Mississippi occurs in southern Hancock County where the system is composed of several individual aquifers and confining units. There are seven aquifers and three confining units in the Mississippi embayment aquifer system, five aquifers and two confining units in the Texas coastal uplands aquifer system, and five aquifers and two confining units in the coastal lowlands aquifer system. Most of the thicker parts of each aquifer system contain moderately saline to very saline water. Water in the Mississippi embayment aquifer system is moderately saline to very saline in most of a seven county area in southwestern Mississippi. About 9,600 million gal/day (gpd) of ground water was pumped from the aquifers in the study area during 1980. About 15% of that pumpage (or about 1,400 million gpd was in Mississippi, mostly from the Mississippi River Valley alluvial aquifer of the Mississippi embayment aquifer system. About 10% of the Mississippi pumpage, or 140 million gpd, was from the coastal lowlands aquifer system. Preliminary results from simulation of

  7. 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

  8. 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.

  9. 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.

  10. Analysis of mercury in hair of EPA region V population.

    PubMed

    Pellizzari, E D; Fernando, R; Cramer, G M; Meaburn, G M; Bangerter, K

    1999-01-01

    A scoping study, the National Human Exposure Assessment Survey (NHEXAS) was conducted in EPA Region V from July 1995 to May 1997. This probability-based population study provided an opportunity to examine the mercury levels in 182 participants who provided hair samples. A sensitive analytical procedure based on atomic fluorescence spectrometry was developed and evaluated for the analysis of Hg in approximately 5 mg of human hair. The correlation coefficient (r), the precision, and bias were 0.9983, < or = 1.6%, and < or = 8%, respectively, for standard curves in the hair matrix. The method detection limit (MDL), recovery of Hg in a certified sample (NIES-13), precision (% RSD) for duplicate extract analysis, and precision for duplicate sample analysis averaged 12 ppb (range 4 to 22 ppb), 100 +/- 3% (N=27), 4.6 +/- 2.8 (N=18), and 12.5 +/- 7.4 (N=17), respectively, over the 7 to 8 months of sample analysis. The low MDL yielded 95% of the samples with measurable values, permitting the entire distribution of Hg levels to be characterized. Comparison of annualized Hg distribution in hair with and without background correction revealed a negligible bias on the distribution (1.47% at the 90th percentile). Also, a comparison of the unweighted and nonannualized weighted Hg levels throughout the percentile distribution indicated a small deviation in the upper tail (95th percentile) and is attributable to the small sample size (N=182). The mean, median, and maximum of the annualized Hg levels in hair were 287, 204, and 3505 ppb, respectively. The 75th percentiles were 335 and 368 ppb for the weighted annualized and unweighted distributions, respectively. The percent of individuals in three age categories (0-24, 25-49, and 50 years and older) who exceeded the 75th percentile showed a linear increase with age. Males (N=81) had 10% and 20% lower mean levels than females (N=101) for unweighted and annualized weighted Hg data, respectively. The application of this methodology for

  11. Regional analysis of hardwood lumber production: 1963 - 2005

    Treesearch

    William Luppold; Matthew Bumgardner

    2008-01-01

    Between 1963 and 2005 hardwood lumber production in the eastern United States increased by more than 50%. Production more than doubled in the northeastern and north central regions while increasing by less than 25% in the southeastern and south central regions. Increased lumber production in the northern regions was facilitated by an expanding sawtimber inventory,...

  12. Regional analysis of renewable transportation fuels - production and consumption

    NASA Astrophysics Data System (ADS)

    Liu, Xiaoshuai

    The transportation sector contributes more than a quarter of total U.S. greenhouse gas emissions. Replacing fossil fuels with renewable fuels can be a key solution to mitigate GHG emissions from the transportation sector. Particularly, we have focused on land-based production of renewable fuels from landfills and brownfield in the southeastern region of the United States. These so call marginal lands require no direct land-use change to avoid environmental impact and, furthermore, have rendered opportunities for carbon trading and low-carbon intensity business. The resources potential and production capacity were derived using federal and state energy databases with the aid of GIS techniques. To maximize fuels production and land-use efficiency, a scheme of co-location renewable transportation fuels for production on landfills was conducted as a case study. Results of economic modeling analysis indicate that solar panel installed on landfill sites could generate a positive return within the project duration, but the biofuel production within the landfill facility is relatively uncertain, requiring proper sizing of the onsite processing facility, economic scale of production and available tax credits. From the consumers' perspective, a life-cycle cost analysis has been conducted to determine the economic and environmental implications of different transportation choices by consumers. Without tax credits, only the hybrid electric vehicles have lifetime total costs equivalent to a conventional vehicles differing by about 1 to 7%. With tax credits, electric and hybrid electric vehicles could be affordable and attain similar lifetime total costs as compared to conventional vehicles. The dissertation research has provided policy-makers and consumers a pathway of prioritizing investment on sustainable transportation systems with a balance of environmental benefits and economic feasibility.

  13. 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.

  14. Analysis of patient falls among hospitalised patients in Makkah region.

    PubMed

    Flimban, Mohammed Abdulwahab; Abduljabar, Dalal Fouad; Dhafar, Khalid Obaid; Deiab, Basma Abdulhameed; Gazzaz, Zohair Jamil; Bansuan, Abasra Usman; Balbed, Abeer Ahmad; Al-Shaikhi, Ahmad Mohammed; Al-Motari, Sultan Saad; Suliman, Muhammad Imran

    2016-08-01

    To assess the frequency and its correlation of patient fall with preventing or precipitating factors among inpatients. The observational study was conducted in Makkah Region, Saudi Arabia from October 15 2012 to November 4, 2013. Data was collected using a questionnaire from 16 hospitals in four districts of Makkah province. The material was sampled through systematic randomisation from inpatient files and data was collected for those who had fallen inside the hospital. The questionnaire, validated through a pilot study run under the Directorate of Quality and Patient Safety in Makkah, was used to see whether the hospitals had adopted and applied international standards for assessment of adult and paediatric patients for falls as well as effectiveness of these applications. Of 4,799 beds, occupancy rates ranged from 1680(35%) to 4,799(100%). Out of 291 falls in all, 144(49.48%) were in Jeddah. Besides, 116(40%) of the falls occurred in the last quarter of the Islamic calendar. Statistically significant difference was found in fall episodes in different months (p=0.007). Statistical analysis indicated that the factors that significantly raised the number of patient falls were increase in hospital beds and their occupancy rate (Spearman's correlation: 0.621 and 0.579 respectively). The frequency of falls varied from hospital to hospital and factors like higher number of bed capacity and occupancy rate increased the falls.

  15. [Regional development of patents of traditional Chinese medicine compounds on basis of cluster analysis].

    PubMed

    Yang, Xujie; Xiao, Shiying

    2012-08-01

    To study current regional development and optimization schemes of patents of traditional Chinese medicine compounds. Simple statistics and cluster analysis were adopted for calculating application quantity, maintenance quantity and quantity of scientific research papers related to patents of traditional Chinese medicine compounds in different regions. On that basis, cluster analysis was used for studying current development patents of traditional Chinese medicine compounds in different regions. The 34 regions, including Chinese mainland, Hong Kong, Macau and Taiwan, were divided into four groups by cluster analysis according to the difference in quantities of patents and research papers. The first and third region are better, the second region is medium, while the forth region is not ideal. Different regions shall adopt suitable development schemes for the development of traditional Chinese medicine compounds according to their actual situations. Reasonable regional alliance is helpful for inter-regional win-win and co-flourishing.

  16. Scientific Analysis and Documentation Provided by EPA Regional Labs

    EPA Pesticide Factsheets

    The 10 EPA Regional laboratories provide maximum flexibility to support Agency response to natural disasters and emergencies by developing effective approaches for a wide range of analytical challenges.

  17. National and regional analysis of road accidents in Spain.

    PubMed

    Tolón-Becerra, A; Lastra-Bravo, X; Flores-Parra, I

    2013-01-01

    In Spain, the absolute fatality figures decreased almost 50 percent between 1998 and 2009. Despite this great effort, road mortality is still of great concern to political authorities. Further progress requires efficient road safety policy based on an optimal set of measures and targets that consider the initial conditions and characteristics in each region. This study attempts to analyze road accidents in Spain and its provinces in time and space during 1998-2009. First, we analyzed daily, monthly, and nationwide (NUTS 0) development of road accidents, the correlation between logarithmic transformations of road accidents and territorial and socioeconomic variables, the causality by simple linear regression of road accidents and territorial and socioeconomic variables, and preliminary frequency by fast Fourier transform. Then we analyzed the annual trend in accidents in the Spanish provinces (NUTS 3) and found a correlation between the logarithmic transformations of the mortality rate, fatalities per fatal accident, and accidents resulting in injuries per inhabitant variables and population, population density, gross domestic product (GDP), length of road network, and area. Finally, causality was analyzed by simple linear regression. The most outstanding results were the negative correlation between mortality rate and population density in Spanish provinces, which has increased over time, and that road accidents in Spain have an approximate periodicity of 57 days. The fast Fourier transform analysis of road accident frequency in Spain was useful in identifying the periodic, harmonic components of accidents and casualties. The periodicity observed both for the period 1998-2009 and by year showed that the highest intensity in road accidents was bimonthly, despite the lower number of accidents and casualties in the spectra of amplitude and power and efforts to reduce the intensity and concentration during off-season travel (summer and December).

  18. Activated region fitting: a robust high-power method for fMRI analysis using parameterized regions of activation.

    PubMed

    Weeda, Wouter D; Waldorp, Lourens J; Christoffels, Ingrid; Huizenga, Hilde M

    2009-08-01

    An important issue in the analysis of fMRI is how to account for the spatial smoothness of activated regions. In this article a method is proposed to accomplish this by modeling activated regions with Gaussian shapes. Hypothesis tests on the location, spatial extent, and amplitude of these regions are performed instead of hypothesis tests of individual voxels. This increases power and eases interpretation. Simulation studies show robust hypothesis tests under misspecification of the shape model, and increased power over standard techniques especially at low signal-to-noise ratios. An application to real single-subject data also indicates that the method has increased power over standard methods.

  19. California Migrant Student Movement Study--Region 5 Analysis.

    ERIC Educational Resources Information Center

    Davis, Benjamin G.

    Kern County in the south central part of the state makes up Region 5 of the California Migrant Education Program. Using the Migrant Student Record Transfer System as a data base, a study was conducted to examine the flow patterns of migrant students from, to and within each region and the state in 1977. Intrastate students dominated the California…

  20. 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…

  1. 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.

  2. 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…

  3. 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.

  4. EUV analysis of an active region. [of solar corona in limb region

    NASA Technical Reports Server (NTRS)

    Raghavan, N.; Withbroe, G. L.

    1975-01-01

    A sequence of extreme-ultraviolet (EUV) spectroheliograms of McMath region No. 10283 were obtained by OSO-6. The lines O VI (1032 A) Mg X (625 A), Si XII (499 A), and Fe XVI (335 A) were used to determine coronal temperatures and densities above the active region. A comparison of theoretical and observed line ratios yielded coronal temperatures of 2.2 to 2.3 million K above the active region and 2.0 to 2.1 million K in the surrounding area. The temperatures derived from ratios involving the O VI intensities are systematically higher than the others. This is attributed to an error in the theoretical O VI intensities. The intensities observed above the limb are compared with intensities predicted by a simple model based on cylindrical geometry. The overall agreement shows that the assumption of an isothermal corona in hydrostatic equilibrium above the active region is a resonable working hypothesis and that the adopted geometrical model for the electron density distribution is adequate.

  5. Seasonal Prediction at the Regional Scale: An Analysis of Regional Climate Model Performance Over Central America.

    NASA Astrophysics Data System (ADS)

    Tourigny, E.; Jones, C.; McTaggart-Cowan, R.

    2006-05-01

    The majority of Regional Climate Models (RCMs) have been developed for application over either Europe or North America. Relatively few RCMs have been evaluated over tropical land regions, where convection and the interaction between convection and the land-surface are of fundamental importance. In this presentation we analyse the performance of 2 RCMs over Central and South America, with particular emphasis on the representation on the regional details of precipitation and its response to large-scale atmospheric circulation anomalies. To assess this we have integrated the Swedish Rossby Centre Atmospheric model (RCA3) and the Limited- Area version of the Canadian GEM model (Global Environmental Multiscale model) for the rainy season of Central America (April-November), using observed SSTs and boundary conditions derived from the ECMWF reanalyses. Results will be presented for contrasting positive and negative phases of the El Nino-Southern Oscillation cycle to assess the response of the model parameterizations to anomalous large-scale atmospheric circulation patterns as defined by the opposite phases of ENSO. Simulated Outgoing Longwave Radiation is compared to satellite observations in order to gauge if the models capture the response of convection over Central and South America to ENSO forcing. Higher resolution precipitation observations are compared to the RCM results in order to evaluate the higher-resolution, regional details of simulated precipitation. Problems in the interaction of the large-scale circulation with convection and surface forcing will be highlighted.

  6. Conditional Analysis of Dynamically Distinct Regions in Stratified Turbulence

    NASA Astrophysics Data System (ADS)

    Portwood, Gavin; de Bruyn Kops, Stephen; Taylor, John; Salehipour, Hasem; Caulfield, Colm-Cille

    2016-11-01

    Stratified flows have been shown to exhibit broadly intermittent flow dynamics at large scales. In DNS of forced homogeneous stratified turbulence, we employ a conditional averaging technique to distinguish compositional flow regions which define the entire flow domain. Here, we condition on the vertical density gradient at inertial and buoyancy length scales to subdivide homogeneous stratified turbulence into three distinct regions that may be characterised by Gn ≡ ɛ / νN2 . We show that flows across the Fr-Re parameter space exhibit regions of (a) moderately 'quiescent' flow with few three-dimensional overturnings, (b) 'layered' turbulent regions which have constrained vertical length scales, and (c) three dimensional 'patches' of turbulence and that these regions may be characterised by Gn O (1) , Gn O (10) , and Gn O (100) , respectively. We conjecture that treating stratified turbulence as an instantaneous assemblage of these different regions in varying proportions may explain some of the apparently highly scattered flow dynamics and statistics previously reported in the literature. U.S. Office of Naval Research via Grant N00014-15-1-2248; U.K. Engineering and Physical Sciences Research Council Grant EP/K034529/1; U.S. DoD HPCMP Frontier Project FP-CFD-FY14-007.

  7. ANALYSIS OF SPATIAL STRUCTURE OF THE SPICA H II REGION

    SciTech Connect

    Park, J.-W.; Min, K.-W.; Seon, K.-I.; Han, W.; Edelstein, J.

    2010-08-20

    Far ultraviolet (FUV) spectral images of the Spica H II region are first presented here for the Si II* {lambda}1533.4 and Al II {lambda}1670.8 lines and then compared with the optical H{alpha} image. The H{alpha} and Si II* images show enhanced emissions in the southern part of the H II region where H I density increases outward. This high density region, which we identify as part of the 'interaction ring' of the Loop I superbubble and the Local Bubble, seems to bound the southern H II region. On the other hand, the observed profile of Al II shows a broad central peak, without much difference between the northern and southern parts, which we suspect results from multiple resonant scattering. The extended tails seen in the radial profiles of the FUV intensities suggest that the nebula may be embedded in a warm ionized gas. Simulation with a spectral synthesis code yields values of the Lyman continuum luminosity and the effective temperature of the central star similar to previous estimates with 10{sup 46.2} photons s{sup -1} and 26,000 K, respectively, but the density of the northern H II region, 0.22 cm{sup -3}, is much smaller than previous estimates for the H{alpha} brightest region.

  8. Frequency analysis of multispectral photoacoustic images for differentiating malignant region from normal region in excised human prostate

    NASA Astrophysics Data System (ADS)

    Sinha, Saugata; Rao, Navalgund A.; Valluru, Keerthi S.; Chinni, Bhargava K.; Dogra, Vikram S.; Helguera, Maria

    2014-03-01

    Frequency domain analysis of the photoacoustic (PA) radio frequency signals can potentially be used as a tool for characterizing microstructure of absorbers in tissue. This study investigates the feasibility of analyzing the spectrum of multiwavelength PA signals generated by excised human prostate tissue samples to differentiate between malignant and normal prostate regions. Photoacoustic imaging at five different wavelengths, corresponding to peak absorption coefficients of deoxyhemoglobin, whole blood, oxyhemoglobin, water and lipid in the near infrared (NIR) (700 nm - 1000 nm) region, was performed on freshly excised prostate specimens taken from patients undergoing prostatectomy for biopsy confirmed prostate cancer. The PA images were co-registered with the histopathology images of the prostate specimens to determine the region of interest (ROI) corresponding to malignant and normal tissue. The calibrated power spectrum of each PA signal from a selected ROI was fit to a linear model to extract the corresponding slope, midband fit and intercept parameters. The mean value of each parameter corresponding to malignant and adjacent normal prostate ROI was calculated for each of the five wavelengths. The results obtained for 9 different human prostate specimens, show that the mean values of midband fit and intercept are significantly different between malignant and normal regions. In addition, the average midband fit and intercept values show a decreasing trend with increasing wavelength. These preliminary results suggest that frequency analysis of multispectral PA signals can be used to differentiate malignant region from the adjacent normal region in human prostate tissue.

  9. 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

  10. Analysis of Structured and Intrinsically Disordered Regions of Transmembrane Proteins

    PubMed Central

    Xue, Bin; Li, Liwei; Meroueh, Samy O.; Uversky, Vladimir N.; Dunker, A. Keith

    2010-01-01

    Integral membrane proteins display two major types of transmembrane structures, helical bundles and beta barrels. The main functional roles of transmembrane proteins are the transport of small molecules and cell signaling, and sometimes these two roles are coupled. For cytosolic, water-soluble proteins, signaling and regulatory functions are often carried out by intrinsically disordered regions. Our long range goal is to determine whether integral membrane proteins likewise often use disordered regions for signaling and regulation. Here we carried out a systematic bioinformatics investigation of intrinsically disordered regions obtained from integral membrane proteins for which crystal structures have been determined, and for which the intrinsic disorder was identified as missing electron density. We found 120 disorder-containing integral membrane proteins having a total of 33,675 residues, with 3209 of the residues distributed among 240 different disordered regions. These disordered regions were compared with those obtained from water-soluble proteins with regard to their amino acid compositional biases, and with regard to accuracies of various disorder predictors. The results of these analyses show that the disordered regions from helical bundle integral membrane proteins, those from beta barrel integral membrane proteins, and those from water soluble proteins all exhibit statistically distinct amino acid compositional biases. Despite these differences in composition, current algorithms make reasonably accurate predictions of disorder for these membrane proteins. Although the small size of the current data sets are limiting, these results suggest that developing new predictors that make use of data from disordered regions in helical bundles and beta barrels, especially as these datasets increase in size, will likely lead to significantly more accurate disorder predictions for these two classes of integral membrane proteins. PMID:19585006

  11. Amplitude Analysis and Modeling of Regional Phases in PNE Profiles in Northern Eurasia and Seismic Regionalization

    DTIC Science & Technology

    2006-06-30

    structure on regional phase propagation. The seven PNE profiles of this study (QUARTZ, RUBY-I, RUBY-2, CRATON, KIMBERLITE , RIFT, and METEORITE) traverse...profile to date), Craton, and Kimberlite (Figure 1-1). The ultimate goal of DSS PNE research would thus be to eventually merge these two lines of...Siberian Craton (profile KIMBERLITE ), the coda shows a constant decay rate at all frequencies. We argue that this observation could be due to non

  12. 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

  13. 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.

  14. Nucleotide diversity analysis highlights functionally important genomic regions.

    PubMed

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

    2016-10-24

    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.

  15. 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

  16. 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.

  17. 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.

  18. Seismic stratigraphy and regional unconformity analysis of Chukchi Sea Basins

    NASA Astrophysics Data System (ADS)

    Agasheva, Mariia; Karpov, Yury; Stoupakova, Antonina; Suslova, Anna

    2017-04-01

    Russian Chukchi Sea Shelf one of petroleum potential province and still one of the most uninvestigated area. North and Sough Chukchi Trough that separated by Wrangel-Hearld Arch have different origin. The main challenge is stratigraphic sequences determination that filled North and South Chukchi basins. The joint tectonic evolution of the territory as Canada basin opening and Brooks Range-Wrangel Herald orogenic events enable to expect the analogous stratigraphy sequences in Russian Part. Analysis of 2D seismic data of Russian and American Chukchi Sea represent the major seismic reflectance that traced throughout the basins. Referring to this data North Chukchi basin includes four seismic stratigraphic sequences - Franklian (pre-Mississippian), Ellesmirian (Upper Devonian-Jurassic), Beaufortian (Jurassic-Lower Cretaceous) and Brookian (Lower Cretaceous-Cenozoic), as it is in North Slope Alaska [1]. South Chukchi basin has different tectonic nature, representing only Franclian basement and Brookian sequences. Sedimentary cover of North Chukchi basins starts with Ellesmirian sequence it is marked by bright reflector that separates from chaotic folded Franklian sequence. Lower Ellesmirian sequence fills of grabens that formed during upper Devonian rifting. Devonian extension event was initiated as a result of Post-Caledonian orogenic collapse, terminating with the opening of Arctic oceans. Beaufortian sequence is distinguished in Colville basin and Hanna Trough by seismically defined clinoforms. Paleozoic and Mesozoic strata are eroded by regional Lower Cretaceous Unconformity (LCU) linked with Canada basin opening. LCU is defined at seismic by angular unconformity, tracing at most arctic basins. Lower Cretaceous erosion and uplift event are of Hauterivian to Aptian age in Brooks Range and the Loppa High uplift refer to the early Barremian. The Lower Cretaceous clinoform complex downlaps to LCU horizon and filling North Chukchi basin (as in Colville basin Alska

  19. Fuzzy-Klassen Model for Development Disparities Analysis based on Gross Regional Domestic Product Sector of a Region

    NASA Astrophysics Data System (ADS)

    Ai, Tb.; Wardoyo, Retantyo

    2015-08-01

    Analysis of regional development imbalances quadrant has a very important meaning in order to see the extent of achievement of the development of certain areas as well as the difference. Factors that could be used as a tool to measure the inequality of development is to look at the average growth and development contribution of each sector of Gross Regional Domestic Product (GRDP) based on the analyzed region and the reference region. This study discusses the development of a model to determine the regional development imbalances using fuzzy approach system, and the rules of typology Klassen. The model is then called fuzzy-Klassen. Implications Product Mamdani fuzzy system is used in the model as an inference engine to generate output after defuzzyfication process. Application of MATLAB is used as a tool of analysis in this study. The test a result of Kota Cilegon is shows that there are significant differences between traditional Klassen typology analyses with the results of the model developed. Fuzzy model-Klassen shows GRDP sector inequality Cilegon City is dominated by Quadrant I (K4), where status is the sector forward and grows exponentially. While the traditional Klassen typology, half of GRDP sector is dominated by Quadrant IV (K4) with a sector that is lagging relative status.

  20. 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.

  1. Transportation analysis for the concept of regional repositories

    SciTech Connect

    Joy, D.S.; Hudson, B.J.

    1980-06-01

    Over the past several years, planning associated with the National Waste Terminal Storage (NWTS) program assumed the use of one or two large, centrally located repository facilities. Recently, an alternative approach has been proposed which consists of the use of multiple, smaller regional repositories. In this report, several regional concepts were studied and the transportation requirements for the shipment of spent fuel to the regional repositories were estimated. In general, the transportation requirements decrease as the number of repositories increase. However, as far as transportation is concerned, the point of diminishing returns is reached at approximately one repository in each of three to four regions. Additional savings beyond this point are small. A series of sensitivity studies is also included to demonstrate the impact on the total transportation requirements of varying cask capacity, rail speed, or truck speed. Since most of the projected fuel shipments are to be made by rail, varying the capacity of the rail cask or varying average rail transport speed will have a major effect on overall transportation requirements.

  2. Analysis of the PTCH coding region in human rhabdomyosarcoma.

    PubMed

    Calzada-Wack, Julia; Schnitzbauer, Udo; Walch, Axel; Wurster, Karl-Heinz; Kappler, Roland; Nathrath, Michaela; Hahn, Heidi

    2002-09-01

    Inherited mutations of the human tumor suppressor gene Patched (PTCH) lead to an autosomal dominant disorder known as Nevoid Basal Cell Carcinoma Syndrome (NBCCS). The syndrome is characterized by a combination of developmental abnormalities and a predisposition to tumor formation. Tumors in patients with NBCCS include basal cell carcinoma, medulloblastoma, fibroma and rhabdomyosarcoma (RMS). RMS are also present in 15 % of mice haplodeficient for Ptch. To investigate whether mutations in PTCH are a general feature in rhabdomyosarcomagenesis we sequenced the protein-coding region in sporadic human cases of these tumors. For this purpose we first determined the distribution and frequency of polymorphisms in 23 exons of PTCH in 48 healthy caucasians. Ten new polymorphisms were identified (IVS11 + 15-17del AAA; IVS14 + 25T>C; 2485G>A; IVS15 + 9G>C; IVS17 + 21A>G; 3033T>C; 3149T>C; 3387T>C; 3617G>A; 4080C>T). Next, the PTCH coding region in 14 RMS was sequenced. Whereas one case with LOH at the PTCH locus was detected, none of the cases showed nonsense or missense mutations in the coding region of PTCH. These data do not support the existence of frequent mutations in the protein-coding region of PTCH in RMS.

  3. 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.

  4. Situational analysis: regional review of the substance use Atlas 2015.

    PubMed

    Gehring, Elise; Saeed, Khalid

    2017-05-01

    The Atlas project on substance use is a global WHO project that aims to collect and disseminate data on resources for the prevention and treatment of substance use disorders. Information on resources available in the WHO Eastern Mediterranean Region was first published in 2012. The Atlas questionnaire was updated in 2014 and data were collected in all WHO Member States. All countries of the Region submitted the Atlas questionnaire. This report presents the latest key information on resources for the prevention and treatment of substance use disorders in the Eastern Mediterranean Region based on the responses of the countries to the questionnaire. Current estimates show that the burden attributable to drug use disorders in the Region is high. Health system resources for the prevention and treatment of substance use disorders vary across countries, but are generally still insufficient to provide adequate care and treatment for people with these disorders. Countries need to strengthen prevention and treatment of substance use disorders, particularly by increasing coverage of treatment interventions.

  5. 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.

  6. Management Models and Cost Analysis for Regional Special Education Programs.

    ERIC Educational Resources Information Center

    Connors, Eugene T.

    The implementation of the Education for All Handicapped Children Act (PL 94-142) has placed an enormous financial burden on local districts. In order to create special education programs that combine cost effectiveness and high quality, a regional model has been developed. The Therapeutic Residential Experience for Emotional Stability (TREES) in…

  7. 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)

  8. Cost Analysis for Regional Transportation System. CRTR-36.

    ERIC Educational Resources Information Center

    Bayliss, Edward T.

    The Education Cooperative (TEC) composed of nine contiguous Massachusetts towns (Dedham, Natick, Needham, Norwood, Walpole, Wayland, Wellesley, Weston, and Westwood) is exploring the possible development of a regional transportation system to serve the special education pupils within these communities. This report describes the planning required…

  9. 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)

  10. 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.

  11. 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.

  12. 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...

  13. 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...

  14. 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...

  15. Analysis of regional albedo characteristics and its influence in the regional climate model REMO

    NASA Astrophysics Data System (ADS)

    Preuschmann, S.; Jacob, D.

    2010-09-01

    The effects of land-use changes on climate have a high priority in climate impact researches. Nevertheless it is not trivial to integrate land-use changes in the Regional atmospherical climate Model REMO (Jacob 2001) so that characteristics of a typical land-use type can be created and therewith systematical effects can be analyzed. As in many regional dynamical climate models, REMO is calculating in the target resolution with parameters which are independent of land-use classes. Considering only one of these parameters, e.g. the albedo, the processing chain (Rechid et al. 2008) to construct the underlying model-albedo uses a number of assumptions which levels phase and amplitude of the albedo-cycle of a regional typical land cover. The albedo data product ALBEDOMAP (Fischer et al. 2006) of the Medium Resolution Imaging Spectrometer (MERIS) on the ESA platform ENVISAT is used as comparative data set. The annual cycle of the ALBEDOMAP data exceeds the modeled variability of the annual albedo cycle permanently in some cases by a factor of ten. Results of REMO-sensitivity studies show, that even small changes in the albedo about one percent is influencing the simulation. Within this study the relevance of characteristically surface information concerning land-use change for fine resolutions in REMO were shown. Fischer, J. ; Preusker, R.; Muller, J.-P. & M. Zühlke (2007): ALBEDOMAP -Validation Report - ESA AO/1-4559/04/I-LG, Online-Publikation: http://www.brockmann-consult.de/albedomap/pdf/MERIS-AlbedoMap-Validation-1.0.pdf. Jacob, D. (2001): A note to the simulation of the annual and inter-annual variability of the water budget over the Baltic Sea drainage basin; Meteorol. Amtos. Phys., 77, 61-73, 2001. Rechid, D.; Raddatz, T. & D. Jacob (2008): Parameterization of snow-free land surface albedo as a function of vegetation phenology based on MODIS data and applied in climate modelling.; Theor. Appl. Climatol., DOI 10.1007/s00704-008-0003-y.

  16. Regional Analysis of Self-Reported Personality Disorder Criteria

    PubMed Central

    Turkheimer, Eric; Ford, Derek C.; Oltmanns, Thomas F.

    2010-01-01

    Building on the theoretical work of Louis Guttman, we propose that the core problem facing research into the multidimensional structure of the personality disorders is not the identification of factorial simple structure but rather detailed characterization of the multivariate configuration of the diagnostic criteria. Dimensions rotated to orthogonal or oblique simple structure are but one way out of many to characterize a multivariate map, and their current near universal application represents a choice for a very particular set of interpretive advantages and disadvantages. We use multidimensional scaling and regional interpretation to investigate the structure of 78 self-reported personality disorder criteria from a large sample of military recruits and college students. Results suggest that the criteria have a three-dimensional radex structure that conforms only loosely to the 10 existing personality disorder (PD) categories. Regional interpretation in three dimensions elucidates several important aspects of PDs and their interrelationships. PMID:19012659

  17. 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.

  18. Analysis of active region loop flows as observed from SMM

    NASA Astrophysics Data System (ADS)

    Poletto, G.; Kopp, R. A.

    The physical properties of plasma motions within solar loop structures are studied by analyzing and interpreting space observations of flows in active regions outside flare conditions. The indirect evidence for the presence of plasma motions in loops that derives either from observational data or from theoretical arguments is first discussed. Direct observations of plasma flows, mostly acquired by the SMM USVP experiment, are then reviewed. Finally, the results of one recent attempt to compare theory and observations are presented and discussed.

  19. 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

  20. 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.

  1. 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.

  2. Regionalism in Educational R/D&I: A Policy Analysis for the National Institute of Education.

    ERIC Educational Resources Information Center

    Hofler, Durward; And Others

    This analysis examines regionalism in the educational research, development, and innovation (R/D&I) context with particular concern for its meaning and significance for the National Institute of Education. The purpose of the analysis is to provide an understanding of regionalism that would be of help to R/D&I policy makers. It is intended…

  3. 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

  4. Multi-wavelength Analysis of a Quiet Solar Region

    NASA Astrophysics Data System (ADS)

    Tsiropoula, G.; Tziotziou, K.; Giannikakis, J.; Young, P.; Schühle, U.; Heinzel, P.

    2007-05-01

    We present observations of a solar quiet region obtained by the ground-based Dutch Open Telescope (DOT), and by instruments on the spacecraft SOHO and TRACE. The observations were obtained during a coordinated observing campaign on October 2005. The aim of this work is to present the rich diversity of fine-scale structures that are found at the network boundaries and their appearance in different instruments and different spectral lines that span the photosphere to the corona. Detailed studies of these structures are crucial to understanding their dynamics in different solar layers, as well as the role such structures play in the mass balance and heating of the solar atmosphere.

  5. Neptune's polar cusp region - Observations and magnetic field analysis

    NASA Technical Reports Server (NTRS)

    Lepping, R. P.; Burlaga, L. F.; Lazarus, A. J.; Vasyliunas, V. M.; Szabo, A.; Steinberg, J.; Ness, N. F.; Krimigis, S. M.

    1992-01-01

    This paper confirms and extends the results of Szabo et al. (1991) (which demonstrated some similarities of the Neptune's polar cusp region to the earth's cusp), but uses a different approach requiring plasma and vector magnetic field quantities. In addition, various MHD properties of the cusp-magnetopause boundary, which separates the cusp from the magnetosheath allowing thermal anisotropy, are obtained, including the magnetopause (MP) normal, mass, and normal momentum flux, the boundary speed (and thickness), and their relationships. Results demonstrate that the MP velocity is composed of two components: a propagation speed and the other component consistent with the rotational motion of the magnetosphere.

  6. 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.

  7. Regional analysis of the left ventricle of the heart.

    PubMed

    Bernis, François; Léger, Christophe; Eder, Véronique

    2006-04-01

    This paper presents a method to analyze the local wall motion of the left ventricle of the heart. Data are sets of points (obtained from various medical imaging modalities) corresponding to surfaces of the left ventricle, which evolve as a function of time. After re-sampling, the surfaces are segmented in order to create regions of equivalent volume. Then, the local cardiac parameters are estimated: evolution of the regional volumes as a function of time, ejection fraction, end-diastolic and end-systolic volumes, end-diastolic and end-systolic instants. The method has been validated using deformable surfaces synthesized from an ellipsoidal model. It has also been tested in vivo on a set of 59 patients using a specially developed software product, which satisfies severe constraints of robustness, real-time, interactivity and ergonomics. The results obtained are similar to those provided by a reference nuclear medicine examination, but the proposed method is faster and gives a more precise localization of the cardiac wall motion anomalies.

  8. 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.

  9. 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.

  10. Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer's disease.

    PubMed

    Wang, Minghui; Roussos, Panos; McKenzie, Andrew; Zhou, Xianxiao; Kajiwara, Yuji; Brennand, Kristen J; De Luca, Gabriele C; Crary, John F; Casaccia, Patrizia; Buxbaum, Joseph D; Ehrlich, Michelle; Gandy, Sam; Goate, Alison; Katsel, Pavel; Schadt, Eric; Haroutunian, Vahram; Zhang, Bin

    2016-11-01

    Alzheimer's disease (AD) is the most common form of dementia, characterized by progressive cognitive impairment and neurodegeneration. However, despite extensive clinical and genomic studies, the molecular basis of AD development and progression remains elusive. To elucidate molecular systems associated with AD, we developed a large scale gene expression dataset from 1053 postmortem brain samples across 19 cortical regions of 125 individuals with a severity spectrum of dementia and neuropathology of AD. We excluded brain specimens that evidenced neuropathology other than that characteristic of AD. For the first time, we performed a pan-cortical brain region genomic analysis, characterizing the gene expression changes associated with a measure of dementia severity and multiple measures of the severity of neuropathological lesions associated with AD (neuritic plaques and neurofibrillary tangles) and constructing region-specific co-expression networks. We rank-ordered 44,692 gene probesets, 1558 co-expressed gene modules and 19 brain regions based upon their association with the disease traits. The neurobiological pathways identified through these analyses included actin cytoskeleton, axon guidance, and nervous system development. Using public human brain single-cell RNA-sequencing data, we computed brain cell type-specific marker genes for human and determined that many of the abnormally expressed gene signatures and network modules were specific to oligodendrocytes, astrocytes, and neurons. Analysis based on disease severity suggested that: many of the gene expression changes, including those of oligodendrocytes, occurred early in the progression of disease, making them potential translational/treatment development targets and unlikely to be mere bystander result of degeneration; several modules were closely linked to cognitive compromise with lesser association with traditional measures of neuropathology. The brain regional analyses identified temporal lobe gyri as

  11. 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

  12. Sensitivity and uncertainty analysis of regional marine ecosystem services value

    NASA Astrophysics Data System (ADS)

    Shi, Honghua; Zheng, Wei; Wang, Zongling; Ding, Dewen

    2009-06-01

    Marine ecosystem services are the benefits which people obtain from the marine ecosystem, including provisioning services, regulating services, cultural services and supporting services. The human species, while buffered against environmental changes by culture and technology, is fundamentally dependent on the flow of ecosystem services. Marine ecosystem services become increasingly valuable as the terrestrial resources become scarce. The value of marine ecosystem services is the monetary flow of ecosystem services on specific temporal and spatial scales, which often changes due to the variation of the goods prices, yields and the status of marine exploitation. Sensitivity analysis is to study the relationship between the value of marine ecosystem services and the main factors which affect it. Uncertainty analysis based on varying prices, yields and status of marine exploitation was carried out. Through uncertainty analysis, a more credible value range instead of a fixed value of marine ecosystem services was obtained in this study. Moreover, sensitivity analysis of the marine ecosystem services value revealed the relative importance of different factors.

  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. [Analysis of regional anesthetic efficacy in pediatric postop pain].

    PubMed

    Martínez-Tellería, A; Cano Serrano, M E; Martínez-Tellería, M J; Castejón Casado, J

    1997-01-01

    A randomized, double blind study was carried out in 76 paediatric surgical patients scheduled for herniography or circumcision. Patients were randomly assigned to receive ilioinguinal and iliohipogastric nerve block (group A), penile block (group B), caudal block (group C) or metamizol intravenously (group D). Postoperative pain was evaluated by Objective pain scale at the end of surgical process and at 15, 30, 60 minutes and 6 hours after surgery. Pain free time was also recorded. There was no difference between groups regarding demographic data. We find a significatively less pain scores in the children who received regional anaesthesia. In those groups the administration of any analgesic were not necessary. No side effects were recorded. We conclude that locorregional anaesthesia techniques are safe and effective for minor surgery in children, because they are easy to carry out, comfortable for the patient, and provide a good postoperative analgesia.

  15. [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.

  16. Detailed seismicity analysis in the SE of Romania (Dobrogea region)

    NASA Astrophysics Data System (ADS)

    Rogozea, Maria; Radulian, Mircea; Ghica, Daniela; Popa, Mihaela

    2014-05-01

    The purpose of this paper is to analyze the seismicity in the south-eastern part of Romania, in the Dobrogea region (namely the Predobrogean Depression and Black Sea area). Predobrogean Depression is the name attributed to the structures belonging to the Scythian Platform. The seismic activity is moderate with most significant earthquakes at the boundary between the North Dobrogea Orogen and Scythian Platform (Sf. Gheorghe fault). The largest magnitude event was recorded in 02.11.1871 (Mw = 5.3). Other events with magnitude above 4 were observed close to Tulcea city (13.11.1981, Mw = 5.1, 03.09.204, Mw =5.1) and Galati city (11.09.1980, Mw = 4.2). Recently, an earthquake swarm of 406 events extended over two months and a half (23 September - 5 December 2013) was produced in the Galati area (maximum magnitude 3.9). The deformation field has an extensional regime, as resulted from fault plane solutions and geotectonic investigations. The maximum expected magnitude in this area is estimated at Mw = 5.5. The seismic activity in the Black Sea area, close to Romania seashore and north-east Bulgarian seashore, concentrates along Shabla fault system. Large shocks (magnitude above 7) are reported here at intervals of a few centuries. The most recent major shock was recorded on 31 January 1901 (Mw = 7.2) in Shabla region, Bulgaria. To characterize seismicity parameters, the Romanian catalogue of the National Institute of Earth Physics was used as a basic input. The catalogue was revised as concerns historical information by reanalyzing macroseismic data and for the recent events, by applying up-to-date tools to relocate and re-parametrize the seismic sources.

  17. 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

  18. 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

  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. Yorkshire Regional Lymphoma Histopathology panel: analysis of five years' experience.

    PubMed

    Bird, C C; Lauder, I; Kellett, H S; Chorlton, I; Barnes, N; Darwin, C; Cartwright, R A; Boyko, R

    1984-08-01

    Five years' experience of operating a Regional Lymphoma Histopathology Panel is described. During this period, approximately 1400 cases were registered of which nearly 1200 were confirmed as malignant lymphoma. Complete concordance of diagnosis was achieved between submitting pathologists and the Panel in two-thirds of cases of Hodgkin's disease and just over half of non-Hodgkin's lymphoma. Most discrepancies in diagnosis were found to be of clinical importance in terms of prognosis and/or therapeutic management of patients. In approximately two-thirds of such instances disagreement arose because of wrong assignment of tumour grade within the main lymphoma class but in one-third of cases the main class of lymphoma was wrongly designated. Panel members experienced similar diagnostic problems as submitting pathologists although to a lesser extent. The existence of the panel has not reduced the proportion of cases causing diagnostic difficulty for submitting pathologists or panel members during the 5 year study period. The principal cause of death was ascertained from death certificates and autopsy findings in nearly half the cases dying during the study period. In approximately half of these infection (largely pulmonary) played a major role while most of the remainder died of various cardiovascular, pulmonary or renal disorders. There was no specific pattern relating to the main lymphoma class. It is concluded that whilst the panel fulfils a useful function in resolving diagnostic difficulties and standardizing lymphoma diagnosis its role is restricted somewhat by the limitations imposed by conventional morphological assessments.

  2. Phylogenetic analysis and comparison between cow and buffalo (including Egyptian buffaloes) mitochondrial displacement-loop regions.

    PubMed

    Ramadan, Hassan A I; El-Hefnawi, Mahmoud M

    2008-08-01

    Mitochondrial DNA (mtDNA) analysis has been used extensively for phylogenetic analysis studies and systematics. The displacement loop (D-loop) region inside the mtDNA is a non-coding part whose analysis can indicate variations between closely related populations. This paper reports for the first time the characterization and analysis of the complete sequence of the D-loop region from Egyptian buffaloes and analysis in conjunction with previously published Indian and European Bubalus bubalis and Bos sub-tribe sequences. In the entire D-loop of the Egyptian buffaloes, we identified four haplotypes and nine polymorphic sites from the nine sequenced D-loop regions--while in the studied set of buffaloes we identified 28 polymorphic sites in the entire D-loop, and 49 polymorphic sites in the case of cows. Alignment between buffaloes and cows to evaluate the characteristics of the D-loop region showed that the second region of the conserved sequence block (CSB2) is apparently the most variable region in the D-loop between cows and buffaloes, with four insertions in all buffaloes and two substitutions, followed by the second region of the extended termination associated sequence (ETAS2) with a substitution rate of 1/10. The Egyptian buffaloes were shown to be closest to the Italian counterparts, exemplifying the closeness of ethnicity and the history of civilization of that region.

  3. [Radiotherapy of the tonsillar region. Analysis of prognostic factors].

    PubMed

    Antonello, M; Polico, R; Busetto, M; Cazzato, G; Zennaro, B; Piccolo, L; Bötner, F; Pizzi, G

    1998-09-01

    We report our personal experience with the treatment of tonsillar cancers at the Otorhinolaryngology-Radiotherapy Department of Umberto I Hospital, Mestre, Italy. The results were analyzed by tumor site and stage, lymph node involvement, treatment type and patient age. January, 1987, through December, 1995, we treated a hundred and 25 patients with carcinoma of the tonsil and tonsillar region. Most patients were men (M:F = 4:1), with a mean age of 61.9 years (range: 38-87). The lesions were staged at physical examination, chest radiography, bone scintigraphy. US of the liver and neck, CT and/or MRI of the tonsillar region and neck. Eleven patients were in stage I (8.8%), 26 in stage II (20.8%), 31 in stage III (24.8%) and 57 in stage IV (45.6%). Forty-one patients were submitted to tonsillectomy and more/less massive neck dissection: surgery was not radical-in 14 of them. All patients received gamma-photon radiotherapy with a cobalt unit: the minimum dose was 50 Gy after radical surgery and 60 Gy for exclusive irradiation and after nonradical surgery. The hemiblock field technique was always used with the conventional fractionation (2 Gy/day. 1 fraction/day, 5 fractions/week); the treatment was planned with the Theraplan V05-B method on CT scans. When the tolerance dose was reached, the spinal cord was shielded and the dose compensated with 9 MeV electrons. The treatment was discontinued only when needed, and never for more than 7-10 days. The overall 5-year survival and the 5-year disease-free survival rates were 28% and 45%, respectively; the overall 5-year cause-specific survival rate was 39%. Disease-free survival was 81% in stage I, 52.7% in stage II, 44.2% in stage III and 35.8% in stage IV (p = .005). The 5-year disease-free survival for the patients receiving surgery and irradiation was 62.1%, versus 38.3% for irradiation alone; the rate was 37.6% when neck nodes were involved (N+). One hundred and two patients achieved complete remission (CR), while the

  4. Serum and salivary oxidative analysis in Complex Regional Pain Syndrome.

    PubMed

    Eisenberg, Elon; Shtahl, Shalom; Geller, Rimma; Reznick, Abraham Z; Sharf, Ordi; Ravbinovich, Meirav; Erenreich, Adam; Nagler, Rafael M

    2008-08-15

    Although both inflammatory and neural mechanisms have been suggested as potential contributors to Complex Regional Pain Syndrome type I (CRPS-I), the pathogenesis of the syndrome is still unclear. Clinical trials have shown that free radical scavengers can reduce signs and symptoms of CRPS-I, indirectly suggesting that free radicals and increased oxidative stress are involved in the pathogenesis of CRPS-I. This study investigated this premise by determining the levels of antioxidants in the serum and saliva of 31 patients with CRPS-I and in a control group of 21 healthy volunteers. Serum lipid peroxidation products (MDA) and all antioxidative parameters analyzed were significantly elevated in CRPS-I patients: median salivary peroxidase and superoxide dismutase (SOD) activity values, uric acid (UA) concentration and total antioxidant status (TAS) values were higher in CRPS-I patients by 150% (p=0.01), 280% (p=0.04), 60% (p=0.0001), and 200% (p=0.0003), respectively, as compared with controls. Similar although not as extensive pattern of oxidative changes were found in the serum: mean serum UA and MDA concentrations and TAS value in the CRPS-I patients were higher by 16% (p=0.04), 25% (p=0.02), and 22% (p=0.05), respectively, than in the controls. Additionally, median salivary albumin concentration and median salivary LDH activities in the patients were 2.5 times (p=0.001) and 3.1 (p=0.004) times higher than in the controls. The accumulated data show that free radicals are involved in the pathophysiology of CRPS-I, which is reflected both in serum and salivary analyses. These data could be used for both diagnostic and therapeutic purposes in CRPS-I patients.

  5. 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.

  6. 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

  7. Analysis of thoracic regional impedance changes using PCA approach

    NASA Astrophysics Data System (ADS)

    Lewandowska, M.; Wtorek, J.; Bujnowski, A.; Mierzejewski, L.

    2010-04-01

    A multichannel impedance and one lead electrocardiographic recording system has been developed. The impedance measurement unit is built using a four-electrode technique. It consists of a sinusoidal, 40 kHz, current source and five measurement channels. Circumferential current electrodes have been located at a neck and an abdomen. Voltage measurement disk electrodes formed five two-electrode measurement ports. The impedance change waveforms (ICG) have been recorded simultaneously with ECG. The ICG waveforms have been analyzed using Principal Component Analysis (PCA). The examinations have been done for different ports configurations in relation to the heart. A dependence of obtained components on ports configurations has been found. Similar results have been obtained when examining healthy (test) persons.

  8. 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.

  9. Short-tandem repeat analysis in seven Chinese regional populations

    PubMed Central

    2010-01-01

    In the present study, we investigated the application of 13 short tandem repeat (STR) loci (D13S317, D7S820, TH01, D16S539, CSFIPO, VWA, D8S1179, TPOX, FGA, D3S1358, D21S11, D18S51 and D5S818) routinely used in forensic analysis, for delineating population relationships among seven human populations representing the two major geographic groups, namely the southern and northern Chinese. The resulting single topology revealed pronounced geographic and population partitioning, consistent with the differences in geographic location, languages and eating habits. These findings suggest that forensic STR loci might be particularly powerful tools in providing the necessary fine resolution for reconstructing recent human evolutionary history. PMID:21637565

  10. 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.

  11. 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.

  12. 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

  13. 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.

  14. 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.

  15. 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

  16. 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...

  17. 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...

  18. 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

  19. Analysis The Potential Implementation And Use Of The Renewable Energy Sources In The Murmansk Region

    NASA Astrophysics Data System (ADS)

    Chekardovskiy, S. M.; Zakirzakov, A. G.; Gordievskaya, E. F.

    2017-01-01

    The paper presents the analysis of the geographical location of the Murmansk region and possibilities of using different renewable energy sources. Present the results of the analysis of using and practicality wind power to wind turbines to generate electricity. The paper presents of average annual consumption of electricity settlements in the Murmansk region, options for replacing the use of diesel fuel by wind energy and recommendations for possible areas of utilization of wind energy.

  20. 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

  1. 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

  2. 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

  3. An updated understanding of ``Special Regions'' on Mars: The second MEPAG Special Regions Science Analysis Group (SR-SAG2)

    NASA Astrophysics Data System (ADS)

    Beaty, David; Rummel, John; Jones, Melissa

    This report represents the work of a committee sponsored by the Mars Exploration Planning and Analysis Group (MEPAG) to review and update the technical information that underlies the interpretation of planetary protection Special Regions on Mars as designated in the COSPAR Planetary Protection Policy. This review and update was conducted with the cooperation of COSPAR and an extensive international Mars exploration community to provide a common understanding of when and where Special Regions do/can occur, based on the most recently available data about Mars environments and the Earth’s organisms—particularly microorganisms capable of withstanding extreme environments (by human standards). A previous analysis of martian special regions was undertaken by a similar committee, which used technical data available through 2006. Since then, however a new body of highly relevant information has been generated from the Mars Reconnaissance Orbiter (launched in 2005), Phoenix (launched in 2007), and from further data returned by Mars Express and the twin MER landers (both launched in 2003). Additional results were also available from the Mars Science Laboratory (launched in 2011). Complementing the Mars data gained since 2006 is a considerable body of research carried out in the area of the known environmental limits to life on Earth, including the specific area of the potential of terrestrial microbial life to function under martian environmental conditions. The analysis presented here consists of: 1. Updated information on the known physical limits to life on Earth, particularly experimental results and environmental observations; 2. Evaluation of post-2006 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; 3. Reconsideration of the current parameters used to define the term “special regions;” and 4. An updated description of the Mars environments that are

  4. East Asian mtDNA haplogroup determination in Koreans: haplogroup-level coding region SNP analysis and subhaplogroup-level control region sequence analysis.

    PubMed

    Lee, Hwan Young; Yoo, Ji-Eun; Park, Myung Jin; Chung, Ukhee; Kim, Chong-Youl; Shin, Kyoung-Jin

    2006-11-01

    The present study analyzed 21 coding region SNP markers and one deletion motif for the determination of East Asian mitochondrial DNA (mtDNA) haplogroups by designing three multiplex systems which apply single base extension methods. Using two multiplex systems, all 593 Korean mtDNAs were allocated into 15 haplogroups: M, D, D4, D5, G, M7, M8, M9, M10, M11, R, R9, B, A, and N9. As the D4 haplotypes occurred most frequently in Koreans, the third multiplex system was used to further define D4 subhaplogroups: D4a, D4b, D4e, D4g, D4h, and D4j. This method allowed the complementation of coding region information with control region mutation motifs and the resultant findings also suggest reliable control region mutation motifs for the assignment of East Asian mtDNA haplogroups. These three multiplex systems produce good results in degraded samples as they contain small PCR products (101-154 bp) for single base extension reactions. SNP scoring was performed in 101 old skeletal remains using these three systems to prove their utility in degraded samples. The sequence analysis of mtDNA control region with high incidence of haplogroup-specific mutations and the selective scoring of highly informative coding region SNPs using the three multiplex systems are useful tools for most applications involving East Asian mtDNA haplogroup determination and haplogroup-directed stringent quality control.

  5. Simulation of average and low flows through the regional calibration of a rainfall-runoff model, I: Regional analysis

    NASA Astrophysics Data System (ADS)

    Castiglioni, S.; Castellarin, A.; Toth, E.

    2010-05-01

    In several European countries, the emerging need for efficient water resources assessment is making the real world application of rainfall-runoff models a key instrument for simulating catchment streamflows and in particular the behaviour of low flows, that may lead to water scarcity conditions. One of the main obstacles to such applications is the scarce data availability, given that the hydrometric observations that are needed for the calibration of the model parameters are often sparse or unavailable. In two companion presentations, we propose an approach for regional calibration of a rainfall-runoff model that may be applied also to ungauged or scarcely gauged catchments, since it is based on the knowledge of characteristics of the catchment and of its climate other than hydrometric measurements. In this first presentation, we describe the use of a regional procedure for estimating selected river flow statistics that describe the main properties of the river flows time series, on the basis of geomorphoclimatic attributes of the catchments. The companion presentation describes the calibration of the rainfall-runoff model by optimizing the simulation of the statistics derived here and then the analyses of the modelled streamflow in simulation mode, focussing in particular on the reproduction of average and low flows. The study area includes 52 catchments located in northern central Italy where detailed geomorphologic and climatic attributes are available. Regional predictive models are developed for estimating the mean value, the standard deviation and the lag-1 autocorrelation coefficient of the actual river flows Q(t), on the basis of the above attributes. Two kinds of regional predictive models are applied: i) traditional multivariate stepwise regression analysis (considering linear and exponential regression relationships) and ii) multilayer feedforward artificial neural networks, particularly suitable to the task because of their capability to flexibly

  6. 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.

  7. Sensitivity and correlation of hypervariable regions in 16S rRNA genes in phylogenetic analysis.

    PubMed

    Yang, Bo; Wang, Yong; Qian, Pei-Yuan

    2016-03-22

    Prokaryotic 16S ribosomal RNA (rRNA) sequences are widely used in environmental microbiology and molecular evolution as reliable markers for the taxonomic classification and phylogenetic analysis of microbes. Restricted by current sequencing techniques, the massive sequencing of 16S rRNA gene amplicons encompassing the full length of genes is not yet feasible. Thus, the selection of the most efficient hypervariable regions for phylogenetic analysis and taxonomic classification is still debated. In the present study, several bioinformatics tools were integrated to build an in silico pipeline to evaluate the phylogenetic sensitivity of the hypervariable regions compared with the corresponding full-length sequences. The correlation of seven sub-regions was inferred from the geodesic distance, a parameter that is applied to quantitatively compare the topology of different phylogenetic trees constructed using the sequences from different sub-regions. The relationship between different sub-regions based on the geodesic distance indicated that V4-V6 were the most reliable regions for representing the full-length 16S rRNA sequences in the phylogenetic analysis of most bacterial phyla, while V2 and V8 were the least reliable regions. Our results suggest that V4-V6 might be optimal sub-regions for the design of universal primers with superior phylogenetic resolution for bacterial phyla. A potential relationship between function and the evolution of 16S rRNA is also discussed.

  8. Analysis of regional compliance in a porcine model of acute lung injury.

    PubMed

    Czaplik, Michael; Biener, Ingeborg; Dembinski, Rolf; Pelosi, Paolo; Soodt, Thomas; Schroeder, Wolfgang; Leonhardt, Steffen; Marx, Gernot; Rossaint, Rolf; Bickenbach, Johannes

    2012-10-15

    Lung protective ventilation in acute lung injury (ALI) focuses on using low tidal volumes and adequate levels of positive end-expiratory pressure (PEEP). Identifying optimal pressure is difficult because pressure-volume (PV) relations differ regionally. Precise analysis demands local measurements of pressures and related alveolar morphologies. In a porcine model of surfactant depletion (n=24), we combined measuring static pressures with endoscopic microscopy and electrical impedance tomography (EIT) to examine regional PV loops and morphologic heterogeneities between healthy (control group; CON) and ALI lungs ventilated with low (LVT) or high tidal volumes (HVT). Quantification included indices for microscopy (Volume Air Index (VAI), Heterogeneity and Circularity Index), EIT analysis and calculation of regional compliances due to generated PV loops. We found that: (1) VAI decreased in lower lobe after ALI, (2) electrical impedance decreased in dorsal regions and (3) PV loops differed regionally. Further studies should prove the potentials of these techniques on individual respiratory settings and clinical outcome.

  9. Improving regions of deviation gait symmetry analysis with pointwise T tests.

    PubMed

    DiBerardino, Louis A; Ragetly, Chantal A; Hong, Sungjin; Griffon, Dominique J; Hsiao-Wecksler, Elizabeth T

    2012-05-01

    The regions of deviation method has been proposed as a technique for identifying regions of the gait cycle where joint motion deviates from normal (Shorter et al., 2008). The original statistical analysis distinguished only peak values during stance and swing. In the current article, we extend the approach by examining deviations from normal throughout the entire gait cycle using pointwise t tests. These methods were demonstrated on hind-limb joint angles of 21 Labrador Retrievers without and with cranial cruciate ligament disease. Results were compared with peak difference analysis previously performed on these subjects. All points in the gait cycle where symmetry deviations were significantly affected by cranial cruciate ligament disease (via pointwise t tests) were defined as regions of deviation from symmetry. Discriminant function analysis was used to consider single subjects and validate that these regions were truly areas of difference between groups. Regions of deviation encompassed previously determined significant peak differences, while extending analysis to additional areas of asymmetry. Discriminant function analysis suggested that the region of deviation method is a viable approach for distinguishing motion pattern differences. This enhanced method may help researchers better understand the mechanisms behind lameness and compensation.

  10. Analysis of the genetic diversity of the Plasmodium falciparum multidrug resistance gene 5' upstream region.

    PubMed

    Myrick, Alissa; Sarr, Ousmane; Dieng, Therese; Ndir, Omar; Mboup, Souleymane; Wirth, Dyann F

    2005-02-01

    Recent findings indicating a low level of polymorphism in the Plasmodium falciparum genome have led to the hypothesis that existent polymorphisms are likely to have functional significance. We tested this hypothesis by developing a map of the polymorphism in the P. falciparum multidrug resistance 1 (pfmdr1) gene 5' upstream region and assaying its correlation with drug resistance in a sample of field isolates from Dakar, Senegal. A comparison of six geographically diverse laboratory strains showed that the 1.94-kb 5'-untranslated region is highly monomorphic, with a total of four unique single nucleotide polymorphisms (SNPs) being identified. All of the mutations were localized to a 462-basepair region proximal to the transcription start point. Analysis of this region in field isolates shows the prevalence of one SNP throughout the entire population of parasites, irrespective of drug resistance status. The SNP frequency of the pfmdr1 upstream region is lower than that found in the noncoding region of other genes.

  11. 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.

  12. 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…

  13. 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…

  14. Spatio-Temporal Analysis of Trends and periodicities of regional drought projections in India

    NASA Astrophysics Data System (ADS)

    Gupta, Vivek; Jain, Manoj Kumar

    2017-04-01

    Climate change is believed to be altering the hydrologic cycle of different regions worldwide. This may alter the occurrence and distribution of extreme events such as droughts and floods. India is one of the most drought affected country, it is therefore important to understand spatiotemporal variation of droughts in future due to climate change. In this paper, we have analyzed the spatiotemporal projections of droughts over India for 21st century using Global Climate Model (GCM) precipitation projections of ESM2G model under two Representative Concentration Pathways (RCP) namely, RCP 4.5 and RCP 8.5. K-means Clustering algorithm has been exploited to obtain homogeneous precipitation region in India for regional drought analysis. Further, temporal analysis of projected annual minimum SPI for year 2006 to 2100 has been performed for different homogeneous regions obtained using cluster analysis. Trend analysis of annual minimum SPI series has also been performed using Mann-Kendall and Sen's slope method. Furthermore, periodicity in SPI series have been examined using wavelet periodogram analysis. Findings of this paper suggest that major drought events for Northeastern and Southern India are likely to occur in second half of the 21st century while for all other parts of India, most of the major drought events are expected in first half of the 21st century. Also, wavelet periodicity analysis indicates inter-annual periodicities of projected droughts between 3 to 9.5 years in different regions of India.

  15. Factor analysis of regional cerebral glucose metabolic rates in healthy men.

    PubMed

    Szabo, Z; Camargo, E E; Sostre, S; Shafique, I; Sadzot, B; Links, J M; Dannals, R F; Wagner, H N

    1992-01-01

    Cerebral glucose utilization measured with fluorine-18-fluoro-2-deoxy-D-glucose is characterized by considerable variability both among different persons and for the same person examined on different occasions. The goal of this study was to explore whether some regions of the brain were more variable than others with respect to glucose utilization and whether there was a pattern in their covariance. The global and regional cerebral utilization of glucose was measured in 12 healthy young volunteers on 3 or 4 occasions. In all, 24 regions were examined. The interrelation of the glucose utilization rates of the brain regions was investigated by factor analysis of the metabolic rates. Some 70% of the total variance was attributable to only 1 factor, while 80% of the total variance could be attributed to 2 factors. Regions making up the first factor were the frontal and temporal cortex, cingulate gyrus, caudate nucleus, thalamus and putamen. These regions are functionally related to the limbic system. Regions of the second factor were the parietal cortex, occipital cortex and cerebellum, regions more clearly related to sensory and motor functions. The 2-factor pattern was highly reproducible, being found with different algorithms for factor extraction and rotation. Under resting conditions, the variance of cerebral metabolism seems to be primarily related to regions which are closely involved with the limbic system. Cortical regions involved primarily in motor and sensory functions have less influence on the variance.

  16. 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.

  17. 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

  18. Excess Capacity in China’s Power Systems: A Regional Analysis

    SciTech Connect

    Lin, Jiang; Liu, Xu; Karl, Fredrich

    2016-11-01

    This paper examines China’s regional electricity grids using a reliability perspective, which is commonly measured in terms of a reserve margin. Our analysis shows that at the end of 2014, the average reserve margin for China as a whole was roughly 28%, almost twice as high as a typical planning reserve margin in the U.S. However, this national average masks huge variations in reserve margins across major regional power grid areas: the northeastern region has the highest reserve margin of over 60%, followed by the northwestern region at 49%, and the southern grid area at 35%. In this analysis, we also examined future reserve margins for regional electricity grids in China under two scenarios: 1) a low scenario of national annual electricity consumption growth rates of 1.5% between 2015 and 2020 and 1.0% between 2020 and 2025, and 2) a high scenario of annual average growth rates of 3.0% and 2.0%, respectively. Both scenarios suggest that the northeastern, northwestern, and southern regions have significant excess generation capacity, and that this excess capacity situation will continue over the next decade without regulatory intervention. The northern and central regions could have sufficient generation capacity to 2020, but may require additional resources in a higher growth scenario. The eastern region requires new resources by 2020 in both scenarios.

  19. Analysis of dihedral angle preferences for alanine and glycine residues in alpha and beta transmembrane regions.

    PubMed

    Saravanan, K M; Krishnaswamy, S

    2015-01-01

    For the past 50 years, the Ramachandran map has been used effectively to study the protein structure and folding. However, though extensive analysis has been done on dihedral angle preferences of residues in globular proteins, related studies and reports of membrane proteins are limited. It is of interest to explore the conformational preferences of residues in transmembrane regions of membrane proteins which are involved in several important and diverse biological processes. Hence, in the present work, a systematic comparative computational analysis has been made on dihedral angle preferences of alanine and glycine in alpha and beta transmembrane regions (the two major classes of transmembrane proteins) with the aid of the Ramachandran map. Further, the conformational preferences of residues in transmembrane regions were compared with the non-transmembrane regions. We have extracted cation-pi interacting residues present in transmembrane regions and explored the dihedral angle preferences. From our observations, we reveal the higher percentage of occurrences of glycine in alpha and beta transmembrane regions than other hydrophobic residues. Further, we noted a clear shift in ψ-angle preferences of glycine residues from negative bins in alpha transmembrane regions to positive bins in beta transmembrane regions. Also, cation-pi interacting residues in beta transmembrane regions avoid preferring ψ-angles in the range of -59° to -30°. In this article, we insist that the studies on preferences of dihedral angles in transmembrane regions, thorough understanding of structure and folding of transmembrane proteins, can lead to modeling of novel transmembrane regions towards designing membrane proteins.

  20. Nonlinear analysis of the dynamics in the Mexican Pacific seismic region by using visual recurrence plots.

    NASA Astrophysics Data System (ADS)

    Ramírez-Rojas, Alejandro; Moreno-Torres, Lucía; Flores-Márquez, Elsa

    2013-04-01

    The subduction in the Mexican South Pacific coast might be approximated as a subhorizontal slab bounded at the edge by the steep subduction geometry of the Cocos plate beneath the Caribbean plate to the east and of the Rivera plate beneath North America to the west. It has been reported a study that takes into account the geometry of the subducted Rivera and Cocos plates beneath the North American lithosphere defining, according their geometry, four regions: Jalisco, Michoacán, Guerrero and Oaxaca. By means of the visual recurrence analysis (VRA), in this work we study some dynamical features of the seismicity occurred for each region, Our analysis shows interesting differences among the recurrence plots of each region indicating a possible correlation between the subduction geometry and the nonlinear dynamical properties of each region.

  1. 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

  2. Sequence analysis of tau 3'untranslated region and saitohin gene in sporadic progressive supranuclear palsy

    PubMed Central

    Ezquerra, M; Campdelacreu, J; Munoz, E; Oliva, R; Tolosa, E

    2004-01-01

    Objectives: To search for genetic changes in the 3'untranslated region (3'UTR) of tau and adjacent sequence LOC147077, and in the coding region of STH in PSP patients. Methods: The study included 57 PSP patients and 83 healthy controls. The genetic analysis of each region was performed through sequencing. The Q7R polymorphism was studied through restriction enzyme and electrophoresis analysis. Results: No mutations were found in the regions analysed. The QQ genotype of the STH polymorphism was over-represented in participants with PSP (91.5%) compared with control subjects (47%) (p⩽0.00001). This genotype co-segregated with the H1/H1 haplotype in our PSP cases. Conclusions: Our results do not support a major role for the tau 3'UTR in PSP genetics. The QQ genotype of STH confers susceptibility for PSP and is in linkage disequilibrium with the H1/H1 haplotype. PMID:14707330

  3. 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.

  4. Minapolitan region development analysis at Penajam Paser Utara using blue economy concept

    NASA Astrophysics Data System (ADS)

    Mawarsari, P. M.; Dewanti, A. N.; Nurrahman, F.

    2017-06-01

    Penajam Paser Utara (PPU) Region in East Kalimantan was assigned as one of Minapolitan area in Indonesia focusing on aquaculture based on Indonesia Ministry of Maritime Affairs and Fisheries Decision Number 35 in 2013. Unfortunately, it is shown from PPU region statistics data that decreasing fisheries production in PPU region was occur especially for land fisheries from 2013 until 2015. The aim of this study is to formulate development strategies of Minapolitan in PPU Region by the Blue Economy concept. Several variables such as fisheries and aquaculture aspects, processing and marketing, incomes and workers, also sustainability and economic paradigm is evaluated in this study. Firstly it needs to identify the potential of character and problem by reviewing Minapolitan area in PPU Region with descriptive comparative analysis. Secondly, the fruitfulness of Minapolitan activity in PPU Region impact factors was identified by using internal and external factor (IFAS and EFAS) analysis. Then some of strategic considerations was formulated by using the successful development indicator in Minapolitan area that associate to the Blue Economy concept with SWOT analysis. The result of IFAS analysis show the highest score of strength that is production and commodity productivity. Contrarily, the income level factor is become the highest score at weakness. Then, the EFAS analysis declare that marketing system is the highest factor in opportunity. The position of SWOT quadrant indicate that the Minapolitan area of PPU region is in quadrant I /or first quadrant which means progressive. Therefore, the Minapolitan in PPU have a great chance to increase the cultivation optimally. The results of SWOT matrix is to increase its product and productivity by upgrading the quality and quantity production facilities, raising the control of production activites and also increasing the supervision of processing business with sustainable management business principle.

  5. 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)

  6. Accuracy and precision of regional multiharmonic Fourier analysis of gated blood-pool images.

    PubMed

    Machac, J; Horowitz, S F; Broder, D; Goldsmith, S J

    1984-12-01

    In order to estimate the precision and accuracy of parameters derived from segmental multiharmonic Fourier analysis of gated blood-pool images, a Monte Carlo computer noise simulation was tested on five sample regional time-activity curves. The first three Fourier harmonics were retained and the precision and accuracy of parameters of ventricular function were calculated, varying the ejection fraction, segment size, and framing rate. Precision improved with higher ejection fraction, higher counts per frame, or higher framing rate. There was no change in precision as the framing rate changed at fixed total counts. Accuracy changed little with changing framing rate. Thus, for segmental analysis there is no advantage to using a higher framing rate. Regions five or more pixels in size are recommended for reliable results. This study provides useful information for the optimization of acquisition and processing conditions for regional gated blood-pool analysis.

  7. 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.

  8. The spatial relationship analysis of regional development potential and resource and environment carrying capacity in China

    NASA Astrophysics Data System (ADS)

    Zhang, Yan; Xu, Jianhua; Zeng, Gang; Shen, Qi; Hu, Qing

    2008-10-01

    The main goal in this study is to explore the spatial relationship of Chinese regional development potential (DP) and resource & environment carrying capacity (REC) in 2000 and 2006 by using meta-synthesis of spatial statistical analysis and GIS technique. The results show that: The spatial distribution trend of DP and REC are overall gradient descending from coastal to inland, then to the western provinces. They all demonstrate that spatial agglomeration with global significant, namely high-DP regions aggregated in the east, low-DP regions aggregated in the west. The high-REC of central, eastern and southern China are improved and aggregated, but the low-REC aggregated in northwest. Chinese regional DP and REC are divided into five different kinds of regions based on the results of k-means clustering analysis and spatial clustering, which demonstrate that each area's DP and REC's spatial association measure is not very obviously. Compared to the high-DP region, the low-DP region is more restricted to the REC.

  9. 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

  10. An Economic Analysis and Approach for Health Care Preparedness in a Substate Region.

    PubMed

    Stryckman, Benoit; Grace, Thomas L; Schwarz, Peter; Marcozzi, David

    2015-08-01

    To demonstrate the application of economics to health care preparedness by estimating the financial return on investment in a substate regional emergency response team and to develop a financial model aimed at sustaining community-level disaster readiness. Economic evaluation methods were applied to the experience of a regional Pennsylvania response capability. A cost-benefit analysis was performed by using information on funding of the response team and 17 real-world events the team responded to between 2008 and 2013. By use of the results of the cost-benefit analysis as well as information on the response team's catchment area, a risk-based insurance-like membership model was built. The cost-benefit analysis showed a positive return after 6 years of investment in the regional emergency response team. Financial modeling allowed for the calculation of premiums for 2 types of providers within the emergency response team's catchment area: hospitals and long-term care facilities. The analysis indicated that preparedness activities have a positive return on their investment in this substate region. By applying economic principles, communities can estimate their return on investment to make better business decisions in an effort to increase the sustainability of emergency preparedness programs at the regional level.

  11. Multimode Analysis of SHG Signal from Complex Biological Systems: Parameterization of Regional and Global Features.

    NASA Astrophysics Data System (ADS)

    Bratton, Clayton; Reiser, Karen; Knoesen, Andre; Yankelevich, Diego; Wang, Mingshi; Rocha-Mendosa, Israel

    2008-03-01

    We have continued development of our novel computational approach for quantifying structural disorder in biomolecular lattices with nonlinear susceptibility based on analysis of polarization-modulated second harmonic signal. Local disorder at the level of molecular organization is identified using a novel signal-processing algorithm sufficiently compact for near real-time analysis. Global and regional disorder within the biostructure is characterized using two-dimensional wavelet transform of the magnitude and phase of the second harmonic signal. Results suggest our signal processing method represents a robust, scaleable tool that allows us to detect both regional and global alterations in signal characteristics of biostructures with a high degree of discrimination.

  12. Region of interest analysis; by selecting regions with denuded areas can we detect greater amounts of change?

    PubMed Central

    Hunter, David J.; Li, Ling; YQ, Zhang; Totterman, Saara; Tamez, Jose; Kwoh, C. Kent; Eaton, Charles B.; Le Graverand, Marie-Pierre Hellio; Beals, Chan R.

    2009-01-01

    INTRODUCTION: Based on recent analyses, the measures of short-term responsiveness of MRI derived cartilage morphometry may not be as large as earlier studies had suggested. We examined if by selecting regions of interest with denuded cartilage, if the remaining cartilage within this region of interest was susceptible to greater rates of cartilage loss. METHODS: Subjects included for this analysis are a subset of the approximately 4700 participants in the Osteoarthritis Initiative (OAI) Study. Bilateral radiographs and 3T MRI (Siemens Trio) of the knees and clinical data are obtained at baseline and annually in all participants.150 subjects from the OAI Progression subcohort all of whom had both frequent symptoms and, in the same knee, radiographic osteoarthritis (ROA defined as definite tibio-femoral osteophytes on x-ray) based on a screening reading done at the OAI clinics. One knee from each subject was selected for analysis. Using sagittal 3D DESSwe MR images from the baseline and 12 follow-up month visit, a segmentation algorithm was applied to the cartilage plates of the index knee to compute the cartilage volume, normalized cartilage volume (Volume normalized to bone surface interface area), and percent denuded area (Total Cartilage Bone Interface area denuded of cartilage). Summary statistics of the changes (absolute and percentage) from baseline at one year and the standardized response mean (SRM), i.e. mean change divided by the standard deviation of that change were calculated. Analyses are stratified into three groups according to baseline assessment of denuded area: those with no denuded area in the region of interest at baseline, and then 2 groups (intermediate denuded area (≤median) and severe (> median) denuded area) of equal sample size. RESULTS: On average the subjects were 60.9 years of age and obese with a mean BMI of 30.3 kg/m2. For the combined central medial femur and tibia the mean volume change for the whole sample was −48.2 (SD 159

  13. Prediction of regional functional impairment following experimental stroke via connectome analysis.

    PubMed

    Schmitt, O; Badurek, S; Liu, W; Wang, Y; Rabiller, G; Kanoke, A; Eipert, P; Liu, J

    2017-04-13

    Recent advances in functional connectivity suggest that shared neuronal activation patterns define brain networks linking anatomically separate brain regions. We sought to investigate how cortical stroke disrupts multiple brain regions in processing spatial information. We conducted a connectome investigation at the mesoscale-level using the neuroVIISAS-framework, enabling the analysis of directed and weighted connectivity in bilateral hemispheres of cortical and subcortical brain regions. We found that spatial-exploration induced brain activation mapped by Fos, a proxy of neuronal activity, was differentially affected by stroke in a region-specific manner. The extent of hypoactivation following spatial exploration is inversely correlated with the spatial distance between the region of interest and region damaged by stroke, in particular within the parietal association and the primary somatosensory cortex, suggesting that the closer a region is to a stroke lesion, the more it would be affected during functional activation. Connectome modelling with 43 network parameters failed to reliably predict regions of hypoactivation in stroke rats exploring a novel environment, despite a modest correlation found for the centrality and hubness parameters in the home-caged animals. Further investigation in the inhibitory versus excitatory neuronal networks and microcircuit connectivity is warranted to improve the accuracy of predictability in post-stroke functional impairment.

  14. 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%. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  15. Analysis of Seismic Activity of the last 15 Years Nearby Puerto Rico and Caribbean Region.

    NASA Astrophysics Data System (ADS)

    Huerta-Lopez, C. I.; Torres-Ortíz, D. M.; Fernández-Heredia, A. I.; Martínez-Cruzado, J. A.

    2015-12-01

    An earthquake catalog of the seismicity occurred during the last 15 years in the Caribbean region, nearby the vicinity of Puerto Rico Island (PRI) was compiled in order to capture the big picture of the regional seismic activity ratio and in particular at the epicentral regions of several historical and instrumentally recorded (during 2008-20015) large to moderate magnitude earthquakes occurred nearby PRI in onshore and offshore, which include the M6.4 earthquake of 01/13/2014, the largest earthquake recorded instrumentally nearby PRI. From the point of view of joint temporal-spatial distribution of epicenters, episodic temporal-spatial seismic activity is clearly seen as temporal-spatial concentrations during certain time intervals in different regions. These localized concentrations of epicenters that occur during certain time intervals in well localized/concentrated regions may suggest "seismic gaps" that shows no regular time interval, neither spatial pattern. In the epicentral region of the M6.4 01/13/2014 earthquake and the historical Mona Passage M7.5 earthquake of 10/11/1918, episodic concentrations in time and space of small magnitude earthquakes epicenters is evident, however do not show temporal pattern. Preliminary results of statistical analysis of an ongoing research in terms of the parameter b (Gutenberg-Richter relationship), and the Omori's law with the aim to relate the tectonic framework of the region (or sub-regions) such as structural heterogeneity stress are here presented/discussed.

  16. 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).

  17. Advantages and Limitations of Cluster Analysis in Interpreting Regional GPS Velocity Fields in California and Elsewhere

    NASA Astrophysics Data System (ADS)

    Thatcher, W. R.; Savage, J. C.; Simpson, R.

    2012-12-01

    Regional Global Positioning System (GPS) velocity observations are providing increasingly precise mappings of actively deforming continental lithosphere. Cluster analysis, a venerable data analysis method, offers a simple, visual exploratory tool for the initial organization and investigation of GPS velocities (Simpson et al., 2012 GRL). Here we describe the application of cluster analysis to GPS velocities from three regions, the Mojave Desert and the San Francisco Bay regions in California, and the Aegean in the eastern Mediterranean. Our goal is to illustrate the strengths and shortcomings of the method in searching for spatially coherent patterns of deformation, including evidence for and against block-like behavior in these 3 regions. 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, is subjective and usually guided by the distribution of known faults. Cluster analysis applied to GPS velocities provides a completely objective method for identifying groups of observations ranging in size from 10s to 100s of km in characteristic dimension based solely on the similarities of their velocity vectors. In the three regions we have studied, statistically significant clusters are almost invariably spatially coherent, fault bounded, and coincide with elastic, geologically identified structural blocks. Often, higher order clusters that are not statistically significant are also spatially coherent, suggesting the existence of additional blocks, or defining regions of other tectonic importance (e.g. zones of localized elastic strain accumulation near locked faults). These results can be used to both formulate tentative tectonic models with testable consequences and to suggest focused new measurements in under-sampled regions. Cluster analysis applied to GPS velocities has several potential limitations, aside from the

  18. A systematic intercomparison of regional flood frequency analysis models in a simulation framework

    NASA Astrophysics Data System (ADS)

    Ganora, Daniele; Laio, Francesco; Claps, Pierluigi

    2015-04-01

    Regional frequency analysis (RFA) is a well-established methodology to provide an estimate of the flood frequency curve (or other discharge-related variables), based on the fundamental concept of substituting temporal information at a site (no data or short time series) by exploiting observations at other sites (spatial information). Different RFA paradigms exist, depending on the way the information is transferred to the site of interest. Despite the wide use of such methodology, a systematic comparison between these paradigms has not been performed. The aim of this study is to provide a framework wherein carrying out the intercomparison: we thus synthetically generate data through Monte Carlo simulations for a number of (virtual) stations, following a GEV parent distribution; different scenarios can be created to represent different spatial heterogeneity patterns by manipulating the parameters of the parent distribution at each station (e.g. with a linear variation in space of the shape parameter of the GEV). A special case is the homogeneous scenario where each station record is sampled from the same parent distribution. For each scenario and each simulation, different regional models are applied to evaluate the 200-year growth factor at each station. Results are than compared to the exact growth factor of each station, which is known in our virtual world. Considered regional approaches include: (i) a single growth curve for the whole region; (ii) a multiple-region model based on cluster analysis which search for an adequate number of homogeneous subregions; (iii) a Region-of-Influence model which defines a homogeneous subregion for each site; (iv) a spatially-smooth estimation procedure based on linear regressions.. A further benchmark model is the at-site estimate based on the analysis of the local record. A comprehensive analysis of the results of the simulations shows that, if the scenario is homogeneous (no spatial variability), all the regional approaches

  19. 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...

  20. 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...

  1. 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.

  2. 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.

  3. GeneRegionScan: a Bioconductor package for probe-level analysis of specific, small regions of the genome.

    PubMed

    Folkersen, Lasse; Diez, Diego; Wheelock, Craig E; Haeggström, Jesper Z; Goto, Susumu; Eriksson, Per; Gabrielsen, Anders

    2009-08-01

    Whole-genome microarrays allow us to interrogate the entire transcriptome of a cell. Affymetrix microarrays are constructed using several probes that match to different regions of a gene and a summarization step reduces this complexity into a single value, representing the expression level of the gene or the expression level of an exon in the case of exon arrays. However, this simplification eliminates information that might be useful when focusing on specific genes of interest. To address these limitations, we present a software package for the R platform that allows detailed analysis of expression at the probe level. The package matches the probe sequences against a target gene sequence (either mRNA or DNA) and shows the expression levels of each probe along the gene. It also features functions to fit a linear regression based on several genetic models that enables study of the relationship between gene expression and genotype. The software is implemented as a platform-independent R package available through the Bioconductor repository at http://www.bioconductor.org/. It is licensed as GPL 2.0. Supplementary data are available at Bioinformatics online.

  4. 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.

  5. 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.

  6. Regional Analysis of Tensor Fields on the Sphere by Slepian Functions

    NASA Astrophysics Data System (ADS)

    Seibert, Katrin; Plattner, Alain; Simons, Frederik J.; Michel, Volker

    2017-04-01

    For scalar and vectorial data on the sphere spatially concentrated and spectrally limited, or spatially limited and spectrally concentrated functions have proven to be a viable and versatile tool. These functions are called Slepian functions. They have been applied in a variety of fields including geodesy, planetary magnetism, cosmology, and biomedical imaging. Their concentration within a chosen region on the planet allows for local inversions, when only regional data are available or are of desired quality, or they enable us to extract regional information. We focus on the analysis of tensorial fields, as they occur e.g. for the GRACE mission, by means of Slepian functions. Furthermore, we present a method for an efficient construction of tensor Slepian functions for symmetric regions such as spherical caps. In this context we are able to construct a localized basis on the spherical cap for the cosmic microwave background (CMB) polarization. Here, we also can separate the polarization into an electric and a magnetic component.

  7. Multivariate regional frequency analysis: Two new methods to increase the accuracy of measures

    NASA Astrophysics Data System (ADS)

    Abdi, Amin; Hassanzadeh, Yousef; Talatahari, Siamak; Fakheri-Fard, Ahmad; Mirabbasi, Rasoul; Ouarda, Taha B. M. J.

    2017-09-01

    The accurate detection of discordant sites in a heterogeneous region and the estimation of the regional parameters of a statistical distribution are two important issues in multivariate regional frequency analysis. In this study, two new methods are proposed for increasing the accuracy of the multivariate L-moment approach. The first one, the optimization-based method (OBM) is utilized to estimate the best distribution parameters. The second one is the rank-based method (RBM), which is used in the robust discordancy measure for identifying discordant sites. In order to assess the performance of the proposed approaches on the heterogeneity measure, real and simulated regions of drought characteristics are considered. The results confirm the usefulness of the new methods in comparison with some well-established techniques.

  8. Clinical applications of a quantitative analysis of regional lift ventricular wall motion

    NASA Technical Reports Server (NTRS)

    Leighton, R. F.; Rich, J. M.; Pollack, M. E.; Altieri, P. I.

    1975-01-01

    Observations were summarized which may have clinical application. These were obtained from a quantitative analysis of wall motion that was used to detect both hypokinesis and tardokinesis in left ventricular cineangiograms. The method was based on statistical comparisons with normal values for regional wall motion derived from the cineangiograms of patients who were found not to have heart disease.

  9. 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...

  10. 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.

  11. U.S. Forest Service Region 1 Lake Chemistry, NADP, and IMPROVE air quality data analysis

    Treesearch

    Jill Grenon; Mark Story

    2009-01-01

    This report was developed to address the need for comprehensive analysis of U.S. Forest Service (USFS) Region 1 air quality monitoring data. The monitoring data includes Phase 3 (long-term data) lakes, National Atmospheric Deposition Program (NADP), and Interagency Monitoring of Protected Visual Environments (IMPROVE). Annual and seasonal data for the periods of record...

  12. Fractal Inequality: A Social Network Analysis of Global and Regional International Student Mobility

    ERIC Educational Resources Information Center

    Macrander, Ashley

    2017-01-01

    Literature on global international student mobility (ISM) highlights the uneven nature of student flows--from the developing to the developed world--however, studies have yet to address whether this pattern is replicated within expanding regional networks. Utilizing social network analysis, UNESCO ISM data, and World Bank income classifications,…

  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. 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...

  16. Morphological Analysis of Annual Recurrence of Dark Dune Spots on Southern Polar Region of Mars

    NASA Technical Reports Server (NTRS)

    Horvath, A.; Ganti, T.; Berczi, Sz.; Gesztesi, A.; Szathmary, E.

    2003-01-01

    Analysis of the Mars Global Surveyor narrow-angle images of the dark dune spots (DDSs) in three subsequent Martian winters and springs in Southern Polar Region resulted in the recognition that year by year DDSs reappeared on the same place with almost the same configuration. Comparison of the 1999 and 2001 high-resolution images showed a very interest recovery process.

  17. 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...

  18. 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...

  19. Fuzzy Decision Analysis for Integrated Environmental Vulnerability Assessment of the Mid-Atlantic Region

    Treesearch

    Liem T. Tran; C. Gregory Knight; Robert V. O' Neill; Elizabeth R. Smith; Kurt H. Riitters; James D. Wickham

    2002-01-01

    A fuzzy decision analysis method for integrating ecological indicators was developed. This was a combination of a fuzzy ranking method and the analytic hierarchy process (AHP). The method was capable of ranking ecosystems in terms of environmental conditions and suggesting cumulative impacts across a large region. Using data on land cover, population, roads, streams,...

  20. 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. Copyright © 2016 Elsevier B.V. All rights reserved.

  1. Regional heritability advanced complex trait analysis for GPU and traditional parallel architectures.

    PubMed

    Cebamanos, L; Gray, A; Stewart, I; Tenesa, A

    2014-04-15

    Quantification of the contribution of genetic variation to phenotypic variation for complex traits becomes increasingly computationally demanding with increasing numbers of single-nucleotide polymorphisms and individuals. To meet the challenges in making feasible large-scale studies, we present the REgional heritability advanced complex trait analysis software. Adapted from advanced complex trait analysis (and, in turn, genome-wide complex trait analysis), it is tailored to exploit the parallelism present in modern traditional and graphics processing unit (GPU)-accelerated machines, from workstations to supercomputers. We adapt the genetic relationship matrix estimation algorithm to remove limitations on memory, allowing the analysis of large datasets. We build on this to develop a version of the code able to efficiently exploit GPU-accelerated systems for both the genetic relationship matrix and REstricted maximum likelihood (REML) parts of the analysis, offering substantial speedup over the traditional central processing unit version. We develop the ability to analyze multiple small regions of the genome across multiple compute nodes in parallel, following the 'regional heritability' approach. We demonstrate the new software using 1024 GPUs in parallel on one of the world's fastest supercomputers. The code is freely available at http://www.epcc.ed.ac.uk/software-products CONTACT: a.gray@ed.ac.uk. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  2. Economic growth analysis system (E-GAS) for EPA region 1 - northeast area (for microcomputers). Software

    SciTech Connect

    1994-12-31

    The E - Gas modeling system is a forecast model used to predict National and regional economic activity in order to estimate attainment of ozone and photochemical air quality standards. Since growth in source emissions largely depends on the amount of economic activity growth in an area, a consistent set of growth factors requires forecasts using consistent Gross National Product (GNP) forecasts and a consistent methodology for estimating economic activity in Urban Airshed Model (UAM) and Regional Oxidant Model (ROM) modeling regions. The need for consistent economic growth facts, however, must be satisfied in a way that allows States to use their own estimates of National and regional economic activity. The Economic Growth Analysis System (E-GAS) is an economic and activity forecast model which satisfies both of these standards. The E-GAS modeling system contains three tiers. The first tier includes available national economic forecasts which are used to drive the regional economic models. The second tier includes regional economic models for the UAM modeling areas, as well as the States in the ROM modeling regions. The third tier estimates fuel consumption, physical output, and vehicle miles traveled (VMT) based on the second tier`s regional economic forecasts. The tiers must be sequentially executed, since data are created by and passed from early tiers for transfers to later tiers. The three-tiered structure of E-GAS allows users flexibility in modeling. Although a tier must be run before preceding to later tiers, the system allows the models to be rerun at the user`s discretion. For example, users may run the National model using either BLS or WEFA forecasts before performing regional modeling on the last national model run. E-GAS is designed such that growth factor projection scenarios for each nonattainment area and attainment portion of States can be made using a common assumption about future U.S. economic activity.

  3. 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. Copyright © 2013 Elsevier Ltd. All rights reserved.

  4. Adulteration and cultivation region identification of American ginseng using HPLC coupled with multivariate analysis

    PubMed Central

    Yu, Chunhao; Wang, Chong-Zhi; Zhou, Chun-Jie; Wang, Bin; Han, Lide; Zhang, Chun-Feng; Wu, Xiao-Hui; Yuan, Chun-Su

    2014-01-01

    American ginseng (Panax quinquefolius) is originally grown in North America. Due to price difference and supply shortage, American ginseng recently has been cultivated in northern China. Further, in the market, some Asian ginsengs are labeled as American ginseng. In this study, forty-three American ginseng samples cultivated in the USA, Canada or China were collected and 14 ginseng saponins were determined using HPLC. HPLC coupled with hierarchical cluster analysis and principal component analysis was developed to identify the species. Subsequently, an HPLC-linear discriminant analysis was established to discriminate cultivation regions of American ginseng. This method was successfully applied to identify the sources of 6 commercial American ginseng samples. Two of them were identified as Asian ginseng, while 4 others were identified as American ginseng, which were cultivated in the USA (3) and China (1). Our newly developed method can be used to identify American ginseng with different cultivation regions. PMID:25044150

  5. 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

    2015-07-07

    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.

  6. 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...

  7. 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...

  8. SNP discovery and haplotype analysis in the segmentally duplicated DRD5 coding region

    PubMed Central

    HOUSLEY, D. J. E.; NIKOLAS, M.; VENTA, P. J.; JERNIGAN, K. A.; WALDMAN, I. D.; NIGG, J. T.; FRIDERICI, K. H.

    2009-01-01

    SUMMARY The dopamine receptor 5 gene (DRD5) holds much promise as a candidate locus for contributing to neuropsychiatric disorders and other diseases influenced by the dopaminergic system, as well as having potential to affect normal behavioral variation. However, detailed analyses of this gene have been complicated by its location within a segmentally duplicated chromosomal region. Microsatellites and SNPs upstream from the coding region have been used for association studies, but we find, using bioinformatics resources, that these markers all lie within a previously unrecognized second segmental duplication (SD). In order to accurately analyze the DRD5 locus for polymorphisms in the absence of contaminating pseudogene sequences, we developed a fast and reliable method for sequence analysis and genotyping within the DRD5 coding region. We employed restriction enzyme digestion of genomic DNA to eliminate the pseudogenes prior to PCR amplification of the functional gene. This approach allowed us to determine the DRD5 haplotype structure using 31 trios and to reveal additional rare variants in 171 unrelated individuals. We clarify the inconsistencies and errors of the recorded SNPs in dbSNP and HapMap and illustrate the importance of using caution when choosing SNPs in regions of suspected duplications. The simple and relatively inexpensive method presented herein allows for convenient analysis of sequence variation in DRD5 and can be easily adapted to other duplicated genomic regions in order to obtain good quality sequence data. PMID:19397556

  9. SNP discovery and haplotype analysis in the segmentally duplicated DRD5 coding region.

    PubMed

    Housley, Donna J E; Nikolas, Molly; Venta, Patrick J; Jernigan, Kathrine A; Waldman, Irwin D; Nigg, Joel T; Friderici, Karen H

    2009-05-01

    The dopamine receptor 5 gene (DRD5) holds much promise as a candidate locus for contributing to neuropsychiatric disorders and other diseases influenced by the dopaminergic system, as well as having potential to affect normal behavioral variation. However, detailed analyses of this gene have been complicated by its location within a segmentally duplicated chromosomal region. Microsatellites and SNPs upstream from the coding region have been used for association studies, but we find, using bioinformatics resources, that these markers all lie within a previously unrecognized second segmental duplication (SD). In order to accurately analyze the DRD5 locus for polymorphisms in the absence of contaminating pseudogene sequences, we developed a fast and reliable method for sequence analysis and genotyping within the DRD5 coding region. We employed restriction enzyme digestion of genomic DNA to eliminate the pseudogenes prior to PCR amplification of the functional gene. This approach allowed us to determine the DRD5 haplotype structure using 31 trios and to reveal additional rare variants in 171 unrelated individuals. We clarify the inconsistencies and errors of the recorded SNPs in dbSNP and HapMap and illustrate the importance of using caution when choosing SNPs in regions of suspected duplications. The simple and relatively inexpensive method presented herein allows for convenient analysis of sequence variation in DRD5 and can be easily adapted to other duplicated genomic regions in order to obtain good quality sequence data.

  10. [Application of principal component analysis in comprehensive indicator screening for pneumoconiosis in different regions].

    PubMed

    Zhang, J; Hao, S B; Zhao, C X; Zhang, J; Xu, P; Cao, Y W; Zhao, J Q; Li, J G

    2016-09-20

    Objective: To investigate the application of principal component analysis in comprehensive indicator screening for pneumoconiosis in different regions. Methods: A principal component analysis was performed for the data of 11 factors associated with the prediction of pneumoconiosis hazard and collected in the investigation on occupational health status conducted in 172 counties (districts) in Hebei, China. The degree of pneumoconiosis hazard in different regions was obtained and intuitively presented by GIS. Results: The eigenvalues of 5 principal components of pneumoconiosis were 4.103, 2.341, 0.981, 0.943, and 0.726, respectively, and the contribution values were 37.299%, 21.286%, 8.919%, 8.572%, and 6.596%, respectively. According to the comprehensive value of principal components, GIS Natural Breaks was used to divide the degree of pneumoconiosis hazard in 172 counties (districts) in Hebei into mild, moderate, and severe grades. Of all the counties, 46 had severe pneumoconiosis hazard, 69 had moderate pneumoconiosis hazard, and 57 had mild pneumoconiosis hazard, and the ranges of the score of principal components were 0.30-1.15, -0.24 to 0.27, and -0.69 to -0.25, respectively. Conclusion: Principal component analysis can optimize the comprehensive indicators for the evaluation of regional pneumoconiosis. The comprehensive score of principal components can quantify and intuitively show the degree of pneumoconiosis hazard in different regions. Tangshan, Chengde, Shijiazhuang, and Handan have the most severe pneumoconiosis hazard.

  11. 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

  12. PLUTONIUM ISOTOPIC ANALYSIS WITH FRAM V4 IN THE LOW ENERGY REGION.

    SciTech Connect

    Vo, Duc T.; Li, T. K.

    2001-01-01

    Low-Energy Gamma-ray Spectroscopy (LEGS) is a nondestructive assay (NDA) technique developed in the 1980s. In 1999, it was modified to include a physical-based model for the energy dependent efficiency. It uses the gamma rays in the energy range from approximately 30 keV to 210 keV, except the 100-keV region. This energy region provides intense, well-separated gamma rays from the principal isotopes of plutonium. For applications involving small quantities (mg to g) of freshly separated plutonium in various chemical forms, it is ideally suited for accurate real-time or near real-time isotopic analysis. Since the last modification, LEGS has been incorporated into the FRAM code (Fixed-energy Response-function Analysis with Multiple efficiency), version 4. FRAM v4 is capable of analyzing the peaks in the whole energy range from 30 keV to 1 MeV, including the X-ray region. The new capability of analyzing the peaks in the 100-keV region greatly enhances the plutonium analysis in the 30 keV to 210 keV ranges of the traditional LEGS. We now can analyze both the freshly separated and aged plutonium with greater accuracy.

  13. Landsat-based trend analysis of lake dynamics across northern permafrost regions

    USGS Publications Warehouse

    Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M.; Arp, Christopher D.; Ulrich, Mathias; Federov, Alexander; Veremeeva, Alexandra

    2017-01-01

    Lakes are a ubiquitous landscape feature in northern permafrost regions. They have a strong impact on carbon, energy and water fluxes and can be quite responsive to climate change. The monitoring of lake change in northern high latitudes, at a sufficiently accurate spatial and temporal resolution, is crucial for understanding the underlying processes driving lake change. To date, lake change studies in permafrost regions were based on a variety of different sources, image acquisition periods and single snapshots, and localized analysis, which hinders the comparison of different regions. Here we present, a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM,ETM+, OLI) and object-based lake detection, to analyze and compare the individual, local and regional lake dynamics of four different study sites (Alaska North Slope, Western Alaska, Central Yakutia, Kolyma Lowland) in the northern permafrost zone from 1999 to 2014. Regional patterns of lake area change on the Alaska North Slope (-0.69%), Western Alaska (-2.82%), and Kolyma Lowland (-0.51%) largely include increases due to thermokarst lake expansion, but more dominant lake area losses due to catastrophic lake drainage events. In contrast, Central Yakutia showed a remarkable increase in lake area of 48.48%, likely resulting from warmer and wetter climate conditions over the latter half of the study period. Within all study regions, variability in lake dynamics was associated with differences in permafrost characteristics, landscape position (i.e. upland vs. lowland), and surface geology. With the global availability of Landsat data and a consistent methodology for processing the input data derived from robust trends of multi-spectral indices, we demonstrate a transferability, scalability and consistency of lake change analysis within the northern permafrost region.

  14. Drought analysis according to shifting of climate zones to arid climate zone over Asia monsoon region

    NASA Astrophysics Data System (ADS)

    Son, Kyung-Hwan; Bae, Deg-Hyo

    2015-10-01

    When a humid region is affected by arid climate, significant changes in drought characteristics occur due to imbalance of water budget. In this study, change in drought characteristics according to shift of different climates i.e. tropical, warm temperate, cold and polar to Arid Climate (SAC) was analyzed over the Asia monsoon region. Climate zones and the SAC regions were identified by applying the Köppen climate classification on hydro-meteorological data for the period of 1963-2006. The analysis of hydro-meteorological parameters revealed that the annual precipitation and runoff in the SAC regions appeared to decrease about 12.1% and 27.3%, respectively, while annual average temperature increased about 0.5 °C. Standardized runoff index (SRI) was calculated using model-driven runoff data. The trend and change point analyses of SRI were performed to evaluate the changes in drought characteristics (frequency, duration, severity) before and after shifting of the different climates to arid climate. The results revealed strong decreasing trend of SRI and hence intensified drought conditions for the SAC regions. A change point year of drought occurred about 3-5 years earlier than the shifting time of the SAC region. Frequency and duration of droughts in the SAC regions were observed to increase about 9.2 and 1.5 months, respectively, and drought severity index intensified to about -0.15. It can be concluded that analysis of shifting to arid climate zones should be considered together with changes in drought characteristics, because the drought characteristics and changing arid climate zones are closely related to each other.

  15. A precipitation regionalization and regime for Iran based on multivariate analysis

    NASA Astrophysics Data System (ADS)

    Raziei, Tayeb

    2017-02-01

    Monthly precipitation time series of 155 synoptic stations distributed over Iran, covering 1990-2014 time period, were used to identify areas with different precipitation time variability and regimes utilizing S-mode principal component analysis (PCA) and cluster analysis (CA) preceded by T-mode PCA, respectively. Taking into account the maximum loading values of the rotated components, the first approach revealed five sub-regions characterized by different precipitation time variability, while the second method delineated eight sub-regions featured with different precipitation regimes. The sub-regions identified by the two used methods, although partly overlapping, are different considering their areal extent and complement each other as they are useful for different purposes and applications. Northwestern Iran and the Caspian Sea area were found as the two most distinctive Iranian precipitation sub-regions considering both time variability and precipitation regime since they were well captured with relatively identical areas by the two used approaches. However, the areal extents of the other three sub-regions identified by the first approach were not coincident with the coverage of their counterpart sub-regions defined by the second approach. Results suggest that the precipitation sub-region identified by the two methods would not be necessarily the same, as the first method which accounts for the variance of the data grouped stations with similar temporal variability while the second one which considers a fixed climatology defined by the average over the period 1990-2014 clusters stations having a similar march of monthly precipitation.

  16. 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.

  17. Significance analysis of the regional differences on icing time of water onto fire protective clothing

    NASA Astrophysics Data System (ADS)

    Zhao, L. Z.; Jing, L. S.; Zhang, X. Z.; Xia, J. J.; Chen, Y.; Chen, T.; Hu, C.; Bao, Z. M.; Fu, X. C.; Wang, R. J.; Wang, Y.; Wang, Y. J.

    2017-09-01

    The object of this work was to determine the icing temperature in icing experiment. Firstly, a questionnaire investigation was carried out on 38 fire detachments in different regions. These Statistical percentage results were divided into northern east group and northern west group. Secondly, a significance analysis between these two results was made using Mann-Whitney U test. Then the icing temperature was determined in different regions. Thirdly, the icing experiment was made in the environment of -20°C in Daxing’an Mountain. The anti-icing effect of new fire protective clothing was verified in this icing.

  18. 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

    2017-08-01

    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.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. Diffusion tensor imaging tensor shape analysis for assessment of regional white matter differences.

    PubMed

    Middleton, Dana M; Li, Jonathan Y; Lee, Hui J; Chen, Steven; Dickson, Patricia I; Ellinwood, N Matthew; White, Leonard E; Provenzale, James M

    2017-08-01

    Purpose The purpose of this study was to investigate a novel tensor shape plot analysis technique of diffusion tensor imaging data as a means to assess microstructural differences in brain tissue. We hypothesized that this technique could distinguish white matter regions with different microstructural compositions. Methods Three normal canines were euthanized at seven weeks old. Their brains were imaged using identical diffusion tensor imaging protocols on a 7T small-animal magnetic resonance imaging system. We examined two white matter regions, the internal capsule and the centrum semiovale, each subdivided into an anterior and posterior region. We placed 100 regions of interest in each of the four brain regions. Eigenvalues for each region of interest triangulated onto tensor shape plots as the weighted average of three shape metrics at the plot's vertices: CS, CL, and CP. Results The distribution of data on the plots for the internal capsule differed markedly from the centrum semiovale data, thus confirming our hypothesis. Furthermore, data for the internal capsule were distributed in a relatively tight cluster, possibly reflecting the compact and parallel nature of its fibers, while data for the centrum semiovale were more widely distributed, consistent with the less compact and often crossing pattern of its fibers. This indicates that the tensor shape plot technique can depict data in similar regions as being alike. Conclusion Tensor shape plots successfully depicted differences in tissue microstructure and reflected the microstructure of individual brain regions. This proof of principle study suggests that if our findings are reproduced in larger samples, including abnormal white matter states, the technique may be useful in assessment of white matter diseases.

  4. Regional analysis of volumes and reproducibilities of automatic and manual hippocampal segmentations

    PubMed Central

    Vrenken, Hugo; Bijma, Fetsje; Barkhof, Frederik; van Herk, Marcel; de Munck, Jan C.

    2017-01-01

    Purpose Precise and reproducible hippocampus outlining is important to quantify hippocampal atrophy caused by neurodegenerative diseases and to spare the hippocampus in whole brain radiation therapy when performing prophylactic cranial irradiation or treating brain metastases. This study aimed to quantify systematic differences between methods by comparing regional volume and outline reproducibility of manual, FSL-FIRST and FreeSurfer hippocampus segmentations. Materials and methods This study used a dataset from ADNI (Alzheimer’s Disease Neuroimaging Initiative), including 20 healthy controls, 40 patients with mild cognitive impairment (MCI), and 20 patients with Alzheimer’s disease (AD). For each subject back-to-back (BTB) T1-weighted 3D MPRAGE images were acquired at time-point baseline (BL) and 12 months later (M12). Hippocampi segmentations of all methods were converted into triangulated meshes, regional volumes were extracted and regional Jaccard indices were computed between the hippocampi meshes of paired BTB scans to evaluate reproducibility. Regional volumes and Jaccard indices were modelled as a function of group (G), method (M), hemisphere (H), time-point (T), region (R) and interactions. Results For the volume data the model selection procedure yielded the following significant main effects G, M, H, T and R and interaction effects G-R and M-R. The same model was found for the BTB scans. For all methods volumes reduces with the severity of disease. Significant fixed effects for the regional Jaccard index data were M, R and the interaction M-R. For all methods the middle region was most reproducible, independent of diagnostic group. FSL-FIRST was most and FreeSurfer least reproducible. Discussion/Conclusion A novel method to perform detailed analysis of subtle differences in hippocampus segmentation is proposed. The method showed that hippocampal segmentation reproducibility was best for FSL-FIRST and worst for Freesurfer. We also found systematic

  5. Parameter uncertainty and nonstationarity in regional extreme rainfall frequency analysis in Qu River Basin, East China

    NASA Astrophysics Data System (ADS)

    Zhu, Q.; Xu, Y. P.; Gu, H.

    2014-12-01

    Traditionally, regional frequency analysis methods were developed for stationary environmental conditions. Nevertheless, recent studies have identified significant changes in hydrological records, leading to the 'death' of stationarity. Besides, uncertainty in hydrological frequency analysis is persistent. This study aims to investigate the impact of one of the most important uncertainty sources, parameter uncertainty, together with nonstationarity, on design rainfall depth in Qu River Basin, East China. A spatial bootstrap is first proposed to analyze the uncertainty of design rainfall depth estimated by regional frequency analysis based on L-moments and estimated on at-site scale. Meanwhile, a method combining the generalized additive models with 30-year moving window is employed to analyze non-stationarity existed in the extreme rainfall regime. The results show that the uncertainties of design rainfall depth with 100-year return period under stationary conditions estimated by regional spatial bootstrap can reach 15.07% and 12.22% with GEV and PE3 respectively. On at-site scale, the uncertainties can reach 17.18% and 15.44% with GEV and PE3 respectively. In non-stationary conditions, the uncertainties of maximum rainfall depth (corresponding to design rainfall depth) with 0.01 annual exceedance probability (corresponding to 100-year return period) are 23.09% and 13.83% with GEV and PE3 respectively. Comparing the 90% confidence interval, the uncertainty of design rainfall depth resulted from parameter uncertainty is less than that from non-stationarity frequency analysis with GEV, however, slightly larger with PE3. This study indicates that the spatial bootstrap can be successfully applied to analyze the uncertainty of design rainfall depth on both regional and at-site scales. And the non-stationary analysis shows that the differences between non-stationary quantiles and their stationary equivalents are important for decision makes of water resources management

  6. [Optimizing spectral region in using near-infrared spectroscopy for donkey milk analysis].

    PubMed

    Zheng, Li-Min; Zhang, Lu-Da; Guo, Hui-Yuan; Pang, Kun; Zhang, Wen-Juan; Ren, Fa-Zheng

    2007-11-01

    Donkey milk has aroused more attention in recent years since its nutrition composition shows a higher similarity to human milk than others. Due to the composition difference between cow milk and donkey milk, the present models available for cow milk analysis could not be applied to donkey milk without modifications. A rapid and reliable analysis method is required to measure the nutrition composition of donkey milk. Near infrared spectroscopy is a newly developed method in food industry, but no literature report was found regarding to its application in the analysis of donkey milk. Protein, fat, ash contents and energy value are the major nutrition factors of milk. In the present paper, these factors of donkey milk were investigated by Fourier transform near-infrared (FT-NIR) spectroscopy. The ranges of protein, fat and ash contents, and energy value in donkey milk samples were 1.15%-2.54%, 0.34%-2.67%, 0.28%-0.57% and 355.87-565.17 cal x kg(-1), respectively. The IR spectra ranged f from 3 899.6 to 12 493.4 cm(-1), with a 1 cm(-1) scanning interval. When the principal least square (PLS) regression algorithm is used for spectral regions information extraction, the additional constraint makes the principal components of matrix X to be related with the components of Y which is to be analyzed. Various spectral regions and data pretreatment methods were selected for principal least square (PLS) regression model development. A comparison of the whole and optimized spectral region NIR indicated that the models of selecting optimum spectral region were better than those of the whole spectral region. It was shown that the protein, fat and ash contents, and energy value in donkey milk obtained by chemical methods were well correlated to the respective values predicted by the NIR spectroscopy quantitative analysis model (alpha = 0.05). The RMSEP values were 0.18, 0.117, 0.040 6 and 23.5 respectively, indicating that these predicted values were reliable. These results

  7. [Comparative analysis of the migration increase dynamics of the elderly population living in the Samara region].

    PubMed

    Gridasov, G N; Zakharova, N O; Balueva, E S

    2011-01-01

    On the large amount of factual material we studied the dynamics of net migration of elderly in urban and rural areas of Samara region for the period from 2002 to 2009. We made a comparative analysis of changes in the structure and settlement characteristics of different groups of migrants (the elderly, children and able-bodied). We came to the conclusion, that the net migration of elderly in Samara region has considerably grown, mainly due to the influx of female population. The vector of net migration of people over working age moved into the countryside and this growth is ensured by older women to a large extent. The research results of one of the main demographic processes, migration, should be considered in the formation of local and regional policies for the elderly.

  8. An analysis of the regional differences in health care utilization in Italy.

    PubMed

    Mangano, Alfia

    2010-03-01

    This paper focuses on the differences in regional expenditure on health care in the attempt to verify how equitable is the pattern of health care supply across the Italian regions and whether disparities are related to the existing socioeconomic imbalances, especially in terms of the North-South divide. The analysis has been carried out according to an egalitarian view of equity. For several categories of health services simple concentration measures and an horizontal inequity index have been derived to quantify the degree of inequity due to the discrepancy between the actual regional expenditure and a "just" amount implied by need indicators. Findings are that richer areas spend more than the "fair" amount on hospital and residential care as well as on the overall health care system, whereas inequity favouring poorer areas occurs in the delivery of pharmacological and secondary care. Copyright 2009 Elsevier Ltd. All rights reserved.

  9. Sequence analysis of the hypervariable region in hmtp210 of Avibacterium paragallinarum

    PubMed Central

    ARAYA-HIDALGO, Edward; GUTIÉRREZ-JIMÉNEZ, Cristina; CHAVES-RAMÍREZ, Mónica; SUÁREZ-ESQUIVEL, Marcela; GUZMÁN-VERRI, Caterina; BARQUERO-CALVO, Elías

    2017-01-01

    The hmtp210 gene of Avibacterium paragallinarum, the causative agent of infectious coryza, encodes an outer-membrane hemagglutinin (HA) that plays an essential role in pathogenicity. A hypervariable region within this HA, which is highly antigenic, is proposed as a candidate for recombinant vaccine production. Nonetheless, little is known about its genetic variability. We performed sequencing analysis of the hmtp210 hypervariable region in 16 clinical isolates from Costa Rica and compared them with 4 vaccine strains and the hmtp210 sequences available in public databases. Except for isolate ApCR12, all isolates showed high identity with reference vaccine strains 0083 and H18. Better genetic characterization of the hypervariable region of hmtp210 is necessary to develop better immunogenic strategies and improved molecular typing methods. PMID:28552860

  10. 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.

  11. Genetic and Cytogenetic Analysis of the ADH Region in DROSOPHILA MELANOGASTER

    PubMed Central

    O'Donnell, Janis; Mandel, Howard C.; Krauss, Marc; Sofer, William

    1977-01-01

    Eighteen Adh-negative mutations were selected with 1-pentyn-3-ol after feeding of formaldehyde. Twelve of the 18 were shown by cytological and genetic analysis to be deletions. Cytological examination of the deletions allowed us to localize the Adh gene to a region including bands 35B3–5 on the left arm of chromosome 2. The deletions were also used to order known visible loci located near Adh.—The vital loci near Adh were also investigated. A total of 109 lethal mutations were generated with EMS and 33 of these, localized within a region defined by the overlap of two of the deletions, were found to belong to 13 complementation groups. If one includes three other loci known to belong there (el, Adh and Sco), a total of 16 complementation groups have been identified in the region close to Adh. PMID:408228

  12. Comparative analysis of antibacterial properties and chemical composition of Glycyrrhiza glabra L. from Astrakhan region (Russia) and Calabria region (Italy).

    PubMed

    Astaf'eva, O V; Sukhenko, L T

    2014-04-01

    We compared antibacterial activity of various extracts of two licorice subspecies against Staphylococcus aureus, Escherichia coli, and Bacillus subtilis. Diethyl carbonate extracts of Glycyrrhiza glabra root from Astrakhan region (Russia) exhibited maximum activity against the test microbial strains; activity of Astrakhan licorice was superior among 50% ethanol extracts from Astrakhan (Russia) and Calabria (Italy). Antibacterial activity is directly proportional to the content of glycyrrhizin and 18β-glycyrrhetinic acid in the extracts. According to preliminary data, the content of these chemical components in Glycyrrhiza glabra root from Astrakhan region is higher than in licorice growing in Italy, which is presumably related to climate and geographic characteristics of Astrakhan region.

  13. The Crustal Structure Of The Marmara Region Using Receiver Function Analysis

    NASA Astrophysics Data System (ADS)

    Büyükakpınar, Pınar; Gürbüz, Cemil; Zor, Ekrem

    2016-04-01

    The Marmara region is a rapidly deforming area with high seismic activity in the northwestern Turkey. In order to further understand the crustal structure in the region, we present results from receiver function analysis using the permanent stations in the region by applying H-κ stacking algorithm which gives crustal thickness and Vp/Vs ratio beneath a station. 40 land stations between January of 2008 and April of 2012, and 5 cabled Sea Bottom Observatories which were deployed at the end of 2010 by KOERI located between 40.2°- 41.2° N and 26.5°- 30.5° E were included in the analysis. Approximately 250 teleseismic events from a wide range of epicentral distances with magnitudes greater than Mw 5.5 are used to obtain receiver functions. Furthermore, in order to calculate the receiver functions in time domain using iterative deconvolution technique suggested by Ligorria and Ammon (1999). Consequently, the crustal structure of the region has been reasonably defined and compared with the other studies. As a consequence of the receiver function analysis, the Moho depth variation map and Vp/Vs ratio map were plotted. The Moho depth on average is 31 km. There are no sharp changes in the crustal thickness of the Marmara Region except North Marmara Trough because basin structure of the Marmara Sea where crustal thickness reaches up to 26 km in the same region was not observed. Furthermore, we found overall average Vp/Vs ratio of 1.74, for the region but we obtained low Vp/Vs ratios in the stations located near Çınarcık Basin which varies between 1.64 - 1.74 indicating the effect of basin structure in the area and North Marmara where Vp/Vs ratios vary between 1.60 and 1.70 which is related to the sediment structure of the area. We also acquired higher Vp/Vs ratios which are between 1.86 and 1.96 in the Western Marmara Region. This can be due to increasing mafic content in this area. Additionally, an attempt has been made to invert the radial receiver function of the

  14. 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

  15. Regional frequency analysis of observed sub-daily rainfall maxima over eastern China

    NASA Astrophysics Data System (ADS)

    Sun, Hemin; Wang, Guojie; Li, Xiucang; Chen, Jing; Su, Buda; Jiang, Tong

    2017-02-01

    Based on hourly rainfall observational data from 442 stations during 1960-2014, a regional frequency analysis of the annual maxima (AM) sub-daily rainfall series (1-, 2-, 3-, 6-, 12-, and 24-h rainfall, using a moving window approach) for eastern China was conducted. Eastern China was divided into 13 homogeneous regions: Northeast (NE1, NE2), Central (C), Central North (CN1, CN2), Central East (CE1, CE2, CE3), Southeast (SE1, SE2, SE3, SE4), and Southwest (SW). The generalized extreme value performed best for the AM series in regions NE, C, CN2, CE1, CE2, SE2, and SW, and the generalized logistic distribution was appropriate in the other regions. Maximum return levels were in the SE4 region, with value ranges of 80-270 mm (1-h to 24-h rainfall) and 108-390 mm (1-h to 24-h rainfall) for 20- and 100 yr, respectively. Minimum return levels were in the CN1 and NE1 regions, with values of 37-104 mm and 53-140 mm for 20 and 100 yr, respectively. Comparing return levels using the optimal and commonly used Pearson-III distribution, the mean return-level differences in eastern China for 1-24-h rainfall varied from -3-4 mm to -23-11 mm (-10%-10%) for 20-yr events, reaching -6-26 mm (-10%-30%) and -10-133 mm (-10%-90%) for 100-yr events. In view of the large differences in estimated return levels, more attention should be given to frequency analysis of sub-daily rainfall over China, for improved water management and disaster reduction.

  16. Regional Gray Matter Atrophy in Relapsing Remitting Multiple Sclerosis: Baseline Analysis of Multi-Center Data

    PubMed Central

    Datta, Sushmita; Staewen, Terrell D.; Cofield, Stacy S.; Cutter, Gary R.; Lublin, Fred D.; Wolinsky, Jerry S.; Narayana, Ponnada A.

    2015-01-01

    Regional gray matter (GM) atrophy in multiple sclerosis (MS) at disease onset and its temporal variation can provide objective information regarding disease evolution. An automated pipeline for estimating atrophy of various GM structures was developed using tensor based morphometry (TBM) and implemented on a multi-center sub-cohort of 1008 relapsing remitting MS (RRMS) patients enrolled in a Phase 3 clinical trial. Four hundred age and gender matched healthy controls were used for comparison. Using the analysis of covariance, atrophy differences between MS patients and healthy controls were assessed on a voxel-by-voxel analysis. Regional GM atrophy was observed in a number of deep GM structures that included thalamus, caudate nucleus, putamen, and cortical GM regions. General linear regression analysis was performed to analyze the effects of age, gender, and scanner field strength, and imaging sequence on the regional atrophy. Correlations between regional GM volumes and expanded disability status scale (EDSS) scores, disease duration (DD), T2 lesion load (T2 LL), T1 lesion load (T1 LL), and normalized cerebrospinal fluid (nCSF) were analyzed using Pearson’s correlation coefficient. Thalamic atrophy observed in MS patients compared to healthy controls remained consistent within subgroups based on gender and scanner field strength. Weak correlations between thalamic volume and EDSS (r = −0.133; p < 0.001) and DD (r = −0.098; p = 0.003) were observed. Of all the structures, thalamic volume moderately correlated with T2 LL (r = −0.492; p-value < 0.001), T1 LL (r = −0.473; p-value < 0.001) and nCSF (r = −0.367; p-value < 0.001). PMID:25787188

  17. Evaluation of tools for renewable energy policy analysis: The ten federal region model

    SciTech Connect

    Engle, J.

    1994-04-01

    The Energy Policy Act of 1992 establishes a program to support development of renewable energy technologies including a production incentive to public power utilities. Because there is a wide range of possible policy actions that could be taken to increase electric market share for renewables, modeling tools are needed to help make informed decisions regarding future policy. Previous energy modeling tools did not contain the region or infrastructure focus necessary to examine renewable technologies. As a result, the Department of Energy Office of Utility Technologies (OUT) supported the development of tools for renewable energy policy analysis. Three models were developed: The Renewable Energy Penetration (REP) model, which is a spreadsheet model for determining first-order estimates of policy effects for each of the ten federal regions; the Ten Federal Region Model (TFRM), which employs utility capacity expansion and dispatching decision; and the Region Electric Policy Analysis Model (REPAM), which was constructed to allow detailed insight into interactions between policy and technology within an individual region. These Models were developed to provide a suite of fast, personal-computer based policy analysis tools; as one moves from the REP model to the TFRM to the REPAM the level of detail (and complexity) increases. In 1993 a panel was formed to identify model strengths, weaknesses (including any potential biases) and to suggest potential improvements. The panel met in January 1994 to discuss model simulations and to deliberate regarding evaluation outcomes. This report is largely a result of this meeting. This report is organized as follows. It provides a description of the TFRM and summarizes the panel`s findings. Individual chapters examine various aspects of the model: demand and load, capacity expansion, dispatching and production costing, reliability, renewables, storage, financial and regulatory concerns, and environmental effects.

  18. Regional gray matter atrophy in relapsing remitting multiple sclerosis: baseline analysis of multi-center data.

    PubMed

    Datta, Sushmita; Staewen, Terrell D; Cofield, Stacy S; Cutter, Gary R; Lublin, Fred D; Wolinsky, Jerry S; Narayana, Ponnada A

    2015-03-01

    Regional gray matter (GM) atrophy in multiple sclerosis (MS) at disease onset and its temporal variation can provide objective information regarding disease evolution. An automated pipeline for estimating atrophy of various GM structures was developed using tensor based morphometry (TBM) and implemented on a multi-center sub-cohort of 1008 relapsing remitting MS (RRMS) patients enrolled in a Phase 3 clinical trial. Four hundred age and gender matched healthy controls were used for comparison. Using the analysis of covariance, atrophy differences between MS patients and healthy controls were assessed on a voxel-by-voxel analysis. Regional GM atrophy was observed in a number of deep GM structures that included thalamus, caudate nucleus, putamen, and cortical GM regions. General linear regression analysis was performed to analyze the effects of age, gender, and scanner field strength, and imaging sequence on the regional atrophy. Correlations between regional GM volumes and expanded disability status scale (EDSS) scores, disease duration (DD), T2 lesion load (T2 LL), T1 lesion load (T1 LL), and normalized cerebrospinal fluid (nCSF) were analyzed using Pearson׳s correlation coefficient. Thalamic atrophy observed in MS patients compared to healthy controls remained consistent within subgroups based on gender and scanner field strength. Weak correlations between thalamic volume and EDSS (r=-0.133; p<0.001) and DD (r=-0.098; p=0.003) were observed. Of all the structures, thalamic volume moderately correlated with T2 LL (r=-0.492; P-value<0.001), T1 LL (r=-0.473; P-value<0.001) and nCSF (r=-0.367; P-value<0.001). Copyright © 2015 Elsevier B.V. All rights reserved.

  19. 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.

  20. Molecular analysis of HBV genotypes and subgenotypes in the Central-East region of Tunisia

    PubMed Central

    2010-01-01

    Background In Tunisia, country of intermediate endemicity for Hepatitis B virus (HBV) infection, most molecular studies on the virus have been carried out in the North of the country and little is known about other regions. The aim of this study was to determine HBV genotype and subgenotypes in Central-East Tunisia. A total of 217 HBs antigen positive patients were enrolled and determination of genotype was investigated in 130 patients with detectable HBV DNA. HBV genotyping methods were: PCR-RFLP on the pre-S region, a PCR using type-specific primers in the S region (TSP-PCR) and partial sequencing in the pre-S region. Results Three genotypes (D, B and A) were detected by the PCR-RFLP method and two (D and A) with the TSP-PCR method, the concordance between the two methods was 93%. Sequencing and phylogenetic analysis of 32 strains, retrieved the same genotype (D and A) for samples with concordant results and genotype D for samples with discordant results. The sequences of discordant genotypes had a restriction site in the pre-S gene which led to erroneous result by the PCR-RFLP method. Thus, prevalence of genotype D and A was 96% and 4%, respectively. Phylogenetic analysis showed the predominance of two subgenotypes D1 (55%) and D7 (41%). Only one strain clustered with D3 subgenotype (3%). Conclusions Predominance of subgenotype D7 appears to occur in northern regions of Africa with transition to subgenotype D1 in the East of the continent. HBV genetic variability may lead to wrong results in rapid genotyping methods and sequence analysis is needed to clarify atypical results. PMID:21050489

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

    PubMed

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

    2015-01-01

    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. 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. 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. The study confirmed that the happiness index of community

  2. 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

  3. Color analysis of skin lesion regions for melanoma discrimination in clinical images

    PubMed Central

    Chen, Jixiang; Stanley, R. Joe; Moss, Randy H.; Van Stoecker, William

    2011-01-01

    Background Skin lesion color is an important feature for diagnosing malignant melanoma. Color histogram analysis over a training set of images has been used to identify colors characteristic of melanoma, i.e., melanoma colors. A percent melanoma color feature defined as the percentage of the lesion pixels that are melanoma colors has been used as a feature to discriminate melanomas from benign lesions. Methods In this research, the color histogram analysis technique is extended to evaluate skin lesion discrimination based on color feature calculations in different regions of the skin lesion. The color features examined include percent melanoma color and a novel color clustering ratio. Experiments are performed using clinical images of 129 malignant melanomas and 129 benign lesions consisting of 40 seborrheic keratoses and 89 nevocellular nevi. Results Experimental results show improved discrimination capability for feature calculations focused in the lesion boundary region. Specifically, correct melanoma and benign recognition rates are observed as high as 89 and 83%, respectively, for the percent melanoma color feature computed using only the outermost, uniformly distributed 10% of the lesion’s area. Conclusions The experimental results show for the features investigated that the region closest to the skin lesion boundary contains the greatest color discrimination information for lesion screening. Furthermore, the percent melanoma color feature consistently outperformed the color clustering ratio for the different skin lesion regions examined. The clinical application of this result is that clustered colors appear to be no more significant than colors of arbitrary distribution within a lesion. PMID:12709126

  4. [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.

  5. Fractal analysis of the ischemic transition region in chronic ischemic heart disease using magnetic resonance imaging.

    PubMed

    Michallek, Florian; Dewey, Marc

    2017-04-01

    To introduce a novel hypothesis and method to characterise pathomechanisms underlying myocardial ischemia in chronic ischemic heart disease by local fractal analysis (FA) of the ischemic myocardial transition region in perfusion imaging. Vascular mechanisms to compensate ischemia are regulated at various vascular scales with their superimposed perfusion pattern being hypothetically self-similar. Dedicated FA software ("FraktalWandler") has been developed. Fractal dimensions during first-pass (FDfirst-pass) and recirculation (FDrecirculation) are hypothesised to indicate the predominating pathomechanism and ischemic severity, respectively. Twenty-six patients with evidence of myocardial ischemia in 108 ischemic myocardial segments on magnetic resonance imaging (MRI) were analysed. The 40th and 60th percentiles of FDfirst-pass were used for pathomechanical classification, assigning lesions with FDfirst-pass ≤ 2.335 to predominating coronary microvascular dysfunction (CMD) and ≥2.387 to predominating coronary artery disease (CAD). Optimal classification point in ROC analysis was FDfirst-pass = 2.358. FDrecirculation correlated moderately with per cent diameter stenosis in invasive coronary angiography in lesions classified CAD (r = 0.472, p = 0.001) but not CMD (r = 0.082, p = 0.600). The ischemic transition region may provide information on pathomechanical composition and severity of myocardial ischemia. FA of this region is feasible and may improve diagnosis compared to traditional noninvasive myocardial perfusion analysis. • A novel hypothesis and method is introduced to pathophysiologically characterise myocardial ischemia. • The ischemic transition region appears a meaningful diagnostic target in perfusion imaging. • Fractal analysis may characterise pathomechanical composition and severity of myocardial ischemia.

  6. 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.

  7. 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.

  8. Spatial Analysis of Water Infrastructure Development On Example of Eastern Europe Rural Regions

    NASA Astrophysics Data System (ADS)

    Pietrucha-Urbanik, Katarzyna; Stecko, Justyna; Pękala, Agnieszka

    2016-10-01

    In the paper the assessment of water supply in rural areas in Poland was performed in aspect of future problems and the necessity of investments. The analysis proposed in this work is a helpful tool in making the ranking of the level of infrastructure development in different regions of the country. The assessment of the water supply network functioning is a very important issue that requires the use of operational experience with the practice of water supply. The analysis was based on data associated with the exploitation of water supply systems. Among others, to illustrate this diversity, the multidimensional comparative analysis was used. The developed analysis will enable decision support in the process of evaluating the economic efficiency of the operation of water supply infrastructure, through established indicators including the water network length development.

  9. A grayscale image color transfer method based on region texture analysis using GLCM

    NASA Astrophysics Data System (ADS)

    Zhao, Yuanmeng; Wang, Lingxue; Jin, Weiqi; Luo, Yuan; Li, Jiakun

    2011-08-01

    In order to improve the performance of grayscale image colorization based on color transfer, this paper proposes a novel method by which pixels are matched accurately between images through region texture analysis using Gray Level Co-occurrence Matrix (GLCM). This method consists of six steps: reference image selection, color space transformation, grayscale linear transformation and compression, texture analysis using GLCM, pixel matching through texture value comparison, and color value transfer between pixels. We applied this method to kinds of grayscale images, and they gained natural color appearance like the reference images. Experimental results proved that this method is more effective than conventional method in accurately transferring color to grayscale images.

  10. Image segmentation by iterative parallel region growing with application to data compression and image analysis

    NASA Technical Reports Server (NTRS)

    Tilton, James C.

    1988-01-01

    Image segmentation can be a key step in data compression and image analysis. However, the segmentation results produced by most previous approaches to region growing are suspect because they depend on the order in which portions of the image are processed. An iterative parallel segmentation algorithm avoids this problem by performing globally best merges first. Such a segmentation approach, and two implementations of the approach on NASA's Massively Parallel Processor (MPP) are described. Application of the segmentation approach to data compression and image analysis is then described, and results of such application are given for a LANDSAT Thematic Mapper image.

  11. Regional climate projections for the MENA-CORDEX domain: analysis of projected temperature and precipitation changes

    NASA Astrophysics Data System (ADS)

    Hänsler, Andreas; Weber, Torsten; Eggert, Bastian; Saeed, Fahad; Jacob, Daniela

    2014-05-01

    Within the CORDEX initiative a multi-model suite of regionalized climate change information will be made available for several regions of the world. The German Climate Service Center (CSC) is taking part in this initiative by applying the regional climate model REMO to downscale global climate projections of different coupled general circulation models (GCMs) for several CORDEX domains. Also for the MENA-CORDEX domain, a set of regional climate change projections has been established at the CSC by downscaling CMIP5 projections of the Max-Planck-Institute Earth System Model (MPI-ESM) for the scenarios RCP4.5 and RCP8.5 with the regional model REMO for the time period from 1950 to 2100 to a horizontal resolution of 0.44 degree. In this study we investigate projected changes in future climate conditions over the domain towards the end of the 21st century. Focus in the analysis is given to projected changes in the temperature and rainfall characteristics and their differences for the two scenarios will be highlighted.

  12. [Mobile Health Units: An Analysis of Concepts and Implementation Requirements in Rural Regions.

    PubMed

    Hämel, K; Kutzner, J; Vorderwülbecke, J

    2015-12-22

    Background: Access to health services in rural regions represents a challenge. The development of care models that respond to health service shortages and pay particular attention to the increasing health care needs of the elderly is an important concern. A model that has been implemented in other countries is that of mobile health units. But until now, there is no overview of their possible objectives, functions and implementation requirements. Method: This paper is based on a literature analysis and an internet research on mobile health units in rural regions. Results: Mobile health units aim to avoid regional undersupply and address particularly vulnerable population groups. In the literature, mobile health units are described with a focus on specific illnesses, as well as those that provide comprehensive, partly multi-professional primary care that is close to patients' homes. The implementation of mobile health units is demanding; the key challenges are (a) alignment to the needs of the regional population, (b) user-oriented access and promotion of awareness and acceptance of mobile health units by the local population, and (c) network building within existing care structures to ensure continuity of care for patients. To fulfill these requirements, a community-oriented program development and implementation is important. Conclusions: Mobile health units could represent an interesting model for the provision of health care in rural regions in Germany. International experiences are an important starting point and should be taken into account for the further development of models in Germany. © Georg Thieme Verlag KG Stuttgart · New York.

  13. A study on using texture analysis methods for identifying lobar fissure regions in isotropic CT images.

    PubMed

    Wei, Q; Hu, Y

    2009-01-01

    The major hurdle for segmenting lung lobes in computed tomographic (CT) images is to identify fissure regions, which encase lobar fissures. Accurate identification of these regions is difficult due to the variable shape and appearance of the fissures, along with the low contrast and high noise associated with CT images. This paper studies the effectiveness of two texture analysis methods - the gray level co-occurrence matrix (GLCM) and the gray level run length matrix (GLRLM) - in identifying fissure regions from isotropic CT image stacks. To classify GLCM and GLRLM texture features, we applied a feed-forward back-propagation neural network and achieved the best classification accuracy utilizing 16 quantized levels for computing the GLCM and GLRLM texture features and 64 neurons in the input/hidden layers of the neural network. Tested on isotropic CT image stacks of 24 patients with the pathologic lungs, we obtained accuracies of 86% and 87% for identifying fissure regions using the GLCM and GLRLM methods, respectively. These accuracies compare favorably with surgeons/radiologists' accuracy of 80% for identifying fissure regions in clinical settings. This shows promising potential for segmenting lung lobes using the GLCM and GLRLM methods.

  14. Brain regions that show repetition suppression and enhancement: A meta-analysis of 137 neuroimaging experiments.

    PubMed

    Kim, Hongkeun

    2017-04-01

    Repetition suppression and enhancement refer to the reduction and increase in the neural responses for repeated rather than novel stimuli, respectively. This study provides a meta-analysis of the effects of repetition suppression and enhancement, restricting the data used to that involving fMRI/PET, visual stimulus presentation, and healthy participants. The major findings were as follows. First, the global topography of the repetition suppression effects was strikingly similar to that of the "subsequent memory" effects, indicating that the mechanism for repetition suppression is the reduced engagement of an encoding system. The lateral frontal cortex effects involved the frontoparietal control network regions anteriorly and the dorsal attention network regions posteriorly. The left fusiform cortex effects predominantly involved the dorsal attention network regions, whereas the right fusiform cortex effects mainly involved the visual network regions. Second, the category-specific meta-analyses and their comparisons indicated that most parts of the alleged category-specific regions showed repetition suppression for more than one stimulus category. In this regard, these regions may not be "dedicated cortical modules," but are more likely parts of multiple overlapping large-scale maps of simple features. Finally, the global topography of the repetition enhancement effects was similar to that of the "retrieval success" effects, suggesting that the mechanism for repetition enhancement is voluntary or involuntary explicit retrieval during an implicit memory task. Taken together, these results clarify the network affiliations of the regions showing reliable repetition suppression and enhancement effects and contribute to the theoretical interpretations of the local and global topography of these two effects. Hum Brain Mapp 38:1894-1913, 2017. © 2017 Wiley Periodicals, Inc.

  15. Fine mapping analysis confirms and strengthens linkage of four chromosomal regions in familial hypospadias

    PubMed Central

    Söderhäll, Cilla; Körberg, Izabella Baranowska; Thai, Hanh T T; Cao, Jia; Chen, Yougen; Zhang, Xufeng; Shulu, Zu; van der Zanden, Loes F M; van Rooij, Iris A L M; Frisén, Louise; Roeleveld, Nel; Markljung, Ellen; Kockum, Ingrid; Nordenskjöld, Agneta

    2015-01-01

    Hypospadias is a common male genital malformation and is regarded as a complex disease affected by multiple genetic as well as environmental factors. In a previous genome-wide scan for familial hypospadias, we reported suggestive linkage in nine chromosomal regions. We have extended this analysis by including new families and additional markers using non-parametric linkage. The fine mapping analysis displayed an increased LOD score on chromosome 8q24.1 and 10p15 in altogether 82 families. On chromosome 10p15, with the highest LOD score, we further studied AKR1C2, AKR1C3 and AKR1C4 involved in steroid metabolism, as well as KLF6 expressed in preputial tissue from hypospadias patients. Mutation analysis of the AKR1C3 gene showed a new mutation, c.643G>A (p.(Ala215Thr)), in a boy with penile hypospadias. This mutation is predicted to have an impact on protein function and structure and was not found in controls. Altogether, we homed in on four chromosomal regions likely to harbor genes for hypospadias. Future studies will aim for studying regulatory sequence variants in these regions. PMID:24986825

  16. 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.

  17. Fine mapping analysis confirms and strengthens linkage of four chromosomal regions in familial hypospadias.

    PubMed

    Söderhäll, Cilla; Körberg, Izabella Baranowska; Thai, Hanh T T; Cao, Jia; Chen, Yougen; Zhang, Xufeng; Shulu, Zu; van der Zanden, Loes F M; van Rooij, Iris A L M; Frisén, Louise; Roeleveld, Nel; Markljung, Ellen; Kockum, Ingrid; Nordenskjöld, Agneta

    2015-04-01

    Hypospadias is a common male genital malformation and is regarded as a complex disease affected by multiple genetic as well as environmental factors. In a previous genome-wide scan for familial hypospadias, we reported suggestive linkage in nine chromosomal regions. We have extended this analysis by including new families and additional markers using non-parametric linkage. The fine mapping analysis displayed an increased LOD score on chromosome 8q24.1 and 10p15 in altogether 82 families. On chromosome 10p15, with the highest LOD score, we further studied AKR1C2, AKR1C3 and AKR1C4 involved in steroid metabolism, as well as KLF6 expressed in preputial tissue from hypospadias patients. Mutation analysis of the AKR1C3 gene showed a new mutation, c.643G>A (p.(Ala215Thr)), in a boy with penile hypospadias. This mutation is predicted to have an impact on protein function and structure and was not found in controls. Altogether, we homed in on four chromosomal regions likely to harbor genes for hypospadias. Future studies will aim for studying regulatory sequence variants in these regions.

  18. [Regional ecosecurity pattern in urban area based on land use analysis: a case study in Lanzhou].

    PubMed

    Fang, Shubo; Xiao, Dunin; An, Shuqing

    2005-12-01

    Mid-scale regional ecosecurity, which takes practical ecosecurity issues as its priority, should be viewed as the core of the multi-scale concept of ecosecurity. For urban area, a special region taking ecological infrastructure as its core mission, the construction of regional ecosecurity pattern may provide a good chance to realize its sustainable development. Based on land use analysis, a qualitative and quantitative research on the landscape pattern, ecovalue evaluation, and driving force analysis of social economy could provide an effective approach to construct the ecosecurity pattern in urban area. This study showed that in Lanzhou, the ecosecurity pattern consisted of three parts, i.e., eco-safeguarding system, eco-buffering system and eco-percolating system, among which, eco-buffering system was the decisive part determining ecosecurity pattern construction. The quantitative analysis of urban spatial expansion pattern was taken as the decisive function to determine the security level of the ecosecurity pattern, which was divided into low, middle and high levels.

  19. 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

  20. Analysis of regional bone scan index measurements for the survival of patients with prostate cancer.

    PubMed

    Kalderstam, Jonas; Sadik, May; Edenbrandt, Lars; Ohlsson, Mattias

    2014-07-10

    A bone scan is a common method for monitoring bone metastases in patients with advanced prostate cancer. The Bone Scan Index (BSI) measures the tumor burden on the skeleton, expressed as a percentage of the total skeletal mass. Previous studies have shown that BSI is associated with survival of prostate cancer patients. The objective in this study was to investigate to what extent regional BSI measurements, as obtained by an automated method, can improve the survival analysis for advanced prostate cancer. The automated method for analyzing bone scan images computed BSI values for twelve skeletal regions, in a study population consisting of 1013 patients diagnosed with prostate cancer. In the survival analysis we used the standard Cox proportional hazards model and a more advanced non-linear method based on artificial neural networks. The concordance index (C-index) was used to measure the performance of the models. A Cox model with age and total BSI obtained a C-index of 70.4%. The best Cox model with regional measurements from Costae, Pelvis, Scapula and the Spine, together with age, got a similar C-index (70.5%). The overall best single skeletal localisation, as measured by the C-index, was Costae. The non-linear model performed equally well as the Cox model, ruling out any significant non-linear interactions among the regional BSI measurements. The present study showed that the localisation of bone metastases obtained from the bone scans in prostate cancer patients does not improve the performance of the survival models compared to models using the total BSI. However a ranking procedure indicated that some regions are more important than others.

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

    PubMed

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

    2013-09-01

    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. © 2013 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.

  2. A Multi-wavelength Analysis of Active Regions and Sunspots by Comparison of Automatic Detection Algorithms

    NASA Astrophysics Data System (ADS)

    Verbeeck, C.; Higgins, P. A.; Colak, T.; Watson, F. T.; Delouille, V.; Mampaey, B.; Qahwaji, R.

    2013-03-01

    Since the Solar Dynamics Observatory (SDO) began recording ≈ 1 TB of data per day, there has been an increased need to automatically extract features and events for further analysis. Here we compare the overall detection performance, correlations between extracted properties, and usability for feature tracking of four solar feature-detection algorithms: the Solar Monitor Active Region Tracker ( SMART) detects active regions in line-of-sight magnetograms; the Automated Solar Activity Prediction code ( ASAP) detects sunspots and pores in white-light continuum images; the Sunspot Tracking And Recognition Algorithm ( STARA) detects sunspots in white-light continuum images; the Spatial Possibilistic Clustering Algorithm ( SPoCA) automatically segments solar EUV images into active regions (AR), coronal holes (CH), and quiet Sun (QS). One month of data from the Solar and Heliospheric Observatory (SOHO)/ Michelson Doppler Imager (MDI) and SOHO/ Extreme Ultraviolet Imaging Telescope (EIT) instruments during 12 May - 23 June 2003 is analysed. The overall detection performance of each algorithm is benchmarked against National Oceanic and Atmospheric Administration (NOAA) and Solar Influences Data Analysis Center (SIDC) catalogues using various feature properties such as total sunspot area, which shows good agreement, and the number of features detected, which shows poor agreement. Principal Component Analysis indicates a clear distinction between photospheric properties, which are highly correlated to the first component and account for 52.86% of variability in the data set, and coronal properties, which are moderately correlated to both the first and second principal components. Finally, case studies of NOAA 10377 and 10365 are conducted to determine algorithm stability for tracking the evolution of individual features. We find that magnetic flux and total sunspot area are the best indicators of active-region emergence. Additionally, for NOAA 10365, it is shown that the

  3. Analysis of regional brain mitochondrial bioenergetics and susceptibility to mitochondrial inhibition utilizing a microplate based system

    PubMed Central

    Sauerbeck, Andrew; Pandya, Jignesh; Singh, Indrapal; Bittman, Kevin; Readnower, Ryan; Bing, Guoying; Sullivan, Patrick

    2012-01-01

    The analysis of mitochondrial bioenergetic function typically has required 50–100 μg of protein per sample and at least 15 min per run when utilizing a Clark-type oxygen electrode. In the present work we describe a method utilizing the Seahorse Biosciences XF24 Flux Analyzer for measuring mitochondrial oxygen consumption simultaneously from multiple samples and utilizing only 5 μg of protein per sample. Utilizing this method we have investigated whether regionally based differences exist in mitochondria isolated from the cortex, striatum, hippocampus, and cerebellum. Analysis of basal mitochondrial bioenergetics revealed that minimal differences exist between the cortex, striatum, and hippocampus. However, the cerebellum exhibited significantly slower basal rates of Complex I and Complex II dependent oxygen consumption (p < 0.05). Mitochondrial inhibitors affected enzyme activity proportionally across all samples tested and only small differences existed in the effect of inhibitors on oxygen consumption. Investigation of the effect of rotenone administration on Complex I dependent oxygen consumption revealed that exposure to 10 pM rotenone led to a clear time dependent decrease in oxygen consumption beginning 12 min after administration (p < 0.05). These studies show that the utilization of this microplate based method for analysis of mitochondrial bioenergetics is effective at quantifying oxygen consumption simultaneously from multiple samples. Additionally, these studies indicate that minimal regional differences exist in mitochondria isolated from the cortex, striatum, or hippocampus. Furthermore, utilization of the mitochondrial inhibitors suggests that previous work indicating regionally specific deficits following systemic mitochondrial toxin exposure may not be the result of differences in the individual mitochondria from the affected regions. PMID:21402103

  4. Regional enzymatic analysis of UV-B and streptozotocin induced diabetic cataract lens.

    PubMed

    Kojima, M

    1990-01-01

    As the UV-B cataract and early stages of diabetic cataract in rats only touches the epithelium and anterior superficial cortex, a whole lens analysis is not meaningful, but a regional analysis with the freeze-sectioning device has to be performed. Scheimpflug photography with microdensitometric image analysis enables the scientist to discern in vivo single layers along the optical axis of the lens. UV-B cataracts (0.2 J/cm2, every 2nd day) and diabetic cataracts (Streptozotocin (STZ), 70 mg/kg BW) were induced in Brown-Norway rats. The stages of lens opacification were documented by Scheimpflug photography. 8 weeks after start of UV-B treatment and at several dates before onset of visible diabetic cataractous changes, the animals were sacrificed. The lenses were divided reproducibly into 4 or 7 parts such as an equatorial ring and several layers of the central cylinder from anterior to posterior part. The enzyme activity spectrum shows highly region related pattern that would not have been found in a whole lens analysis. Aldose reductase was activated before appearance of visible cataractous changes due to diabetes compared to normal lenses. In contrast Fructose-1,6-biphosphate-aldolase activity was lower before onset of visible changes than in normal lenses, but only within the 1st section where later visible cataractous changes of UV-B cataract could be detected.

  5. Health care networks implementation and regional governance challenges in the Legal Amazon Region: an analysis of the QualiSUS-Rede Project.

    PubMed

    Casanova, Angela Oliveira; Cruz, Marly Marques; Giovanella, Ligia; Alves, Glaydes Dos Reis; Cardoso, Gisela Cordeiro Pereira

    2017-04-01

    This paper aims to analyze the potential, limits and challenges of regional governance in the implementation process of health care networks in three Brazilian regions: Alto Solimões (Amazonas), Belém (Pará) and an interstate region comprising Tocantins, Pará and Maranhão states (Topama). The study is based on the evaluation study on the implementation of the Quality Health Care Network Development and Improvement Project (QualiSUS-Rede). This is a qualitative multiple case study with the analysis of official documents and use of semi-structured interviews with key stakeholders conducted from July to December 2014. Governance review encompassed three components: stakeholders involved, especially local steering groups and their regional coordination capacity; strategies used for strengthening regional governance, anchored on the intervention's modeling; and implementation of local health care networks. Results point that the regional managing commissions were the main governance strategy and that the QualiSUS-Rede Project strengthened regional governance and integration differently in every case, depending on stakeholders' administration and consensus capacity on regional and political priorities.

  6. Evaporation tagging and atmospheric water budget analysis with WRF: A regional precipitation recycling study for West

    NASA Astrophysics Data System (ADS)

    Arnault, Joel; Knoche, Richard; Wei, Jianhui; Kunstmann, Harald

    2016-04-01

    Regional precipitation recycling is the measure of the contribution of local evaporation E to local precipitation. This study provides a set of two methods developed in the Weather Research and Forecasting WRF model system for investigating regional precipitation recycling mechanisms: (1) tracking of tagged atmospheric water species originating from evaporation in a source region, ie E-tagging, and (2) three-dimensional budgets of total and tagged atmospheric water species. These methods are used to quantify the effect of return flow and non-well vertical mixing neglected in the computation of the bulk precipitation recycling ratio. The developed algorithms are applied to a WRF simulation of the West African Monsoon 2003. The simulated region is characterized by vertical wind shear condition, i.e. southwesterlies in the low levels and easterlies in the mid-levels, which favours return flow and non-well vertical mixing. Regional precipitation recycling is investigated in 100x100 and 1000x1000 km2 areas. A prerequisite condition for evaporated water to contribute to the precipitation process in both areas is that it is lifted to the mid-levels where hydrometeors are produced. In the 100x100 (1000x1000) km2 area the bulk precipitation recycling ratio is 0.9 (7.3) %. Our budget analysis reveals that return flow and non-well vertically mixed outflow increase this value by about +0.2 (2.9) and +0.2 (1.6) %, respectively, thus strengthening the well-known scale-dependency of regional precipitation recycling.

  7. 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

  8. Cassini/VIMS Data Analysis of Potentially Geologically Varying Regions on Titan

    NASA Astrophysics Data System (ADS)

    Solomonidou, Anezina; Hirtzig, M.; Bratsolis, E.; Bampasidis, G.; Coustenis, A.; Kyriakopoulos, K.; Le Mouélic, S.; Rodriguez, S.; Jaumann, R.; Stephan, K.; Lopes, R. M. C.; Drossart, P.; Sotin, C.; Brown, R. H.; Seymour, K. S.; Moussas, X.

    2012-10-01

    We present a study of Titan's geology with a view to enhance our current understanding of some particular regions on the satellite's surface, which may be varying in brightness and/or in color etc. We apply here a statistical method, the Principal Component Analysis (PCA) [1] and a radiative transfer code (RT) [1,2] on three such potentially "active" regions: Tui Regio, Hotei Regio, and Sotra Facula, within which we isolate specific regions of distinct and diverse chemical composition with PCA. Then, with our follow-up RT method, we retrieve the surface albedo of these specific isolated regions and of the surrounding terrains exhibiting different spectral responses. We thus evaluate the atmospheric contribution and can constrain the real surface alterations, by comparing the spectra of these regions. We search for the temporal surface variations of Hotei Regio (as reported by Nelson et al. 2009 [3]), with our RT code and the same data from 2004-2006, and do not find any significant surface albedo variations over time. We then superimposed this area's Cassini Visual and Infrared Mapping Spectrometer (VIMS) and RADAR data in order to 'view' the morphological potential. We find that even if these regions have not visually changed over the course of the Cassini mission, the determination of the chemical composition and the correlation with the morphological structures [4] observed in these areas do not rule out past and/or ongoing cryovolcanic processes as a possible interpretation. [1] Solomonidou, A., et al.: In preparation. [2] Hirtzig, M. et al.: In preparation. [3] Nelson, R. et al.: Icarus 199, 429-441, 2009. [4] Solomonidou, A et al.: PSS, accepted, 2012.

  9. 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

  10. Analysis of D-Region Absorption via HF Cross-Modulation Experiments at HAARP

    NASA Astrophysics Data System (ADS)

    Braun, E. M.; Moore, R. C.

    2010-12-01

    Experimental observations performed near the High-frequency Active Auroral Research Program (HAARP) HF transmitter in Gakona, Alaska are used to implement a new method quantifying the rate of absorption of HF radio waves in the D-region ionosphere. Quantifying the ambient and HF-modified characteristics of the D-region ionosphere in the vicinity of ionospheric HF heaters has historically proven to be a difficult task. For example, the electron density in the 60-90 km altitude range is typically too low to employ radio-sounding techniques; LIDAR observations typically require significant temporal averaging, precluding the investigation of physical processes that occur on sub-millisecond time scales; ELF/VLF wave generation experiments typically have difficulty providing reliable spatial resolution and also cannot experimentally distinguish between the spatial distribution of the ionospheric conductivity modulation produced by modulated HF heating and that of the current-driving electric fields associated with the auroral electrojet. Yet, the majority of HF signal absorption occurs in this region of the ionosphere, and the ability to characterize HF absorption in this region benefits a wide range of ionospheric HF heating experiments. The technique described and demonstrated in this paper combines ionosonde-style radio sounding with ELF/VLF cross-modulation experiments to identify the altitude of maximum D-region absorption as a function of HF frequency. Observations are presented and compared with the predictions of a theoretical model, demonstrating excellent agreement between experiment and theory and indicating that the technique may be used successfully in practice. Based on the success of this first experiment, another HF cross-modulation experiment has been performed at HAARP and analyzed theoretically. Pulsed-modulation experiments are used to assess the relative absorption as a function of altitude within the D-region ionosphere, and a method to chart the

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

    PubMed

    Castanho, Camila de Toledo; 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

  12. REGIONAL VARIATIONS IN INFANT AND CHILD MORTALITY IN NIGERIA: A MULTILEVEL ANALYSIS.

    PubMed

    Adedini, Sunday A; Odimegwu, Clifford; Imasiku, Eunice N S; Ononokpono, Dorothy N; Ibisomi, Latifat

    2015-03-01

    There are substantial regional disparities in under-five mortality in Nigeria, and evidence suggests that both individual- and community-level characteristics have an influence on health outcomes. Using 2008 Nigeria Demographic and Health Survey data, this study (1) examines the effects of individual- and community-level characteristics on infant/child mortality in Nigeria and (2) determines the extent to which characteristics at these levels influence regional variations in infant/child mortality in the country. Multilevel Cox proportional hazard analysis was performed on a nationally representative sample of 28,647 children nested within 18,028 mothers of reproductive age, who were also nested within 886 communities. The results indicate that community-level variables (such as region, place of residence, community infrastructure, community hospital delivery and community poverty level) and individual-level factors (including child's sex, birth order, birth interval, maternal education, maternal age and wealth index) are important determinants of infant/child mortality in Nigeria. For instance, the results show a lower risk of death in infancy for children of mothers residing in communities with a high proportion of hospital delivery (HR: 0.70, p < 0.05) and for children whose mothers had secondary or higher education (HR: 0.84, p < 0.05). Although community factors appear to influence the association between individual-level factors and death during infancy and childhood, the findings consistently indicate that community-level characteristics are more important in explaining regional variations in child mortality, while individual-level factors are more important for regional variations in infant mortality. The results of this study underscore the need to look beyond the influence of individual-level factors in addressing regional variations in infant and child mortality in Nigeria.

  13. [Analysis of grant of special nephrological help to childrensi in Chernivtsi region].

    PubMed

    Bezruk, V V

    2014-01-01

    Nephrological morbidity is important indicator of the state of the health of children's population. The aim of this study is analysis of the activity of nephrological service care for children's population of the Chernivtsi region. The material for this study is reporting documentation about the condition of the nephrological service care for children's population of the Chernivtsi region in 2008-2012 and the data of The Center of medical statistics of Ministry of Health of Ukraine. The incidence of prevalence of diseases of the urinary system between teenagers of Chernivtsi region during the 2008-2012 period had a wave-like nature and have lower rates comparing general Ukraine rates, with the exception of 2011, when the incidence of child population in the region amounted to 32.60 in 1000 to 29.65 against children 1000 children in Ukraine. The age structure of patients is determined by many factors, including the demographic situation in the region, "continuity" and these primary healthcare units. Value of microbial and inflammatory diseases to nephropathy--2.9:1 (2009), but over the last three years there is a tendency to change its value--3.5-4:1 (2012). Is marked resistance to antibiotic therapy--3/4 of surveyed high school age children and teenagers found mycoplasma pathogens (M. hominis, M. genitalium) and ureaplasma (U. urealyticum) origin, especially against the background of comorbidity of "modern child". Analyzes the main indicators of child nephrology service in Chernivtsi region. The research, carried out by authors, will allow to hold the reasoned medical and rehabilitation events in all stages of rendering of specialized medical care for teenagers with nephrological pathology and to develop the programs, directed on improvement of indicators of health and prevention of disability in children.

  14. 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...

  15. 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

  16. [The practice of neonatal umbilical blood gas analysis in the "Alsace" regional French perinatal network].

    PubMed

    Kellenberger, F; Akladios, C Y; Sananes, N; Gaudineau, A; Langer, B

    2016-10-01

    The assessment of neonatal well-being is paramount in delivery rooms. For that purpose, it is recommended in France to carry out a systematic neonatal umbilical cord blood gas analysis. The aim of this study is to evaluate how umbilical cord blood gas sampling is realised, analysed and interpreted by midwives in a French regional perinatal network. We conducted a survey focused on randomly selected midwives partitioning in different maternities that constitute the "Alsace" regional perinatal network. A questionnaire concerning the modalities of umbilical cord blood sampling, its analysis and the interpretation of results was used during interviews with included midwives. Fifty-one midwives were included in the study (15.8% of whom were working in delivery rooms). Only 13% of maternities constituting the perinatal network did not realise systematic neonatal umbilical cord blood analysis. Among interviewed midwives, 78.4% reported umbilical cord clamping after the first breath of the child. Among the midwives included, 86.3% of them realise sampling from the umbilical artery and 29.4% from both umbilical artery and vein. For 86.3% of interviewed midwives, the leitmotif of realising umbilical blood sampling was medico-legal. More than two third of included midwives interpret blood gas taking into account two parameters (either pH and base excess, or lactate). They settled at 7.0-7.2, the limit below which a newborn might present sequelae. This study shows that the neonatal umbilical cord blood gas analysis at birth is almost systematic in this regional French perinatal network. It is realised primarily for medico-legal purpose. However, there are significant variations in sampling procedures and interpretation. This should lead to the establishment within each maternity of a neonatal umbilical cord blood gas sampling protocol along with a midwifery training program. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

  17. 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

  18. Flood Envelope Curves for the Setouchi Region Derived by Spatial Distribution Analysis of Radar Rainfall

    NASA Astrophysics Data System (ADS)

    Chikamori, Hidetaka; Nagai, Akihiro

    This paper presents the estimation procedure of a flood envelope curve originally developed by Kadoya and Nagai (1979) on the basis of depth-area-duration (DAD) analysis of radar precipitation data in order to examine the availability of spatial distribution data of precipitation for statistical flood peak analysis. The estimated flood envelope curves by applying the presented procedure to the Yoshii River Basin located in Okayama Prefecture of the western Japan well enveloped the flood peaks observed in the Hiroshima and Okayama Prefectures; the curves tended, however, to overestimate flood peaks for small catchments. It was explained by the fact that very limited areas are with regionally maximum areal rainfall arising maximum flood peak discharge and the other areas are with smaller areal rainfall than maximum in the objective region. Flood envelope curve equation considering spatial probability of regionally maximum areal rainfall was presented and applied to the Yoshii River Basin to show the effect of adjusting the spatial probability for mitigating overestimation of maximum flood peaks for small basin. This result shows probabilistic aspects of flood envelope curves deterministically estimated from hydrological records, which should be considered when determining design flood discharge for dam planning.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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

  4. Analysis of pressure-broadened ozone spectra in the 3 micron region

    NASA Technical Reports Server (NTRS)

    Prochaska, Eleanor S.

    1991-01-01

    This work involves the analysis of a series of McMath Fourier Transform Infrared (FTIR) spectra of ozone broadened by mixing with air (four different pressures), nitrogen (three pressures), or oxygen (three pressures). Each spectrum covers the region from 2396 to 4057 cm(-1). This study focused on the 3 sub nu sub 3 band in t 3000 to 3060 cm(-1). The band is analyzed by first dividing its region into small intervals containing a few well isolated absorption lines of reasonable intensity. Each of these small intervals is fit by multiple iterations of the nonlinear least squares program until residuals (the difference between calculated and observed spectrum, as a percent of the strongest intensity in the interval) are minimized to a reasonable value which corresponds to the noise level of the measured spectrum. Position, intensity, and half-width are recorded for later analysis. From the measured half-widths, a pressure broadening coefficient was determined for each absorption line. Pressure shifts were determined by comparing observed line positions in the spectra of the diluted ozone samples to tabulated line positions determined from spectra of pure gas samples. Comparisons to other work on ozone indicate that the broadening and shift coefficients determined in this study are consistent with those determined in other spectral regions.

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

    NASA Astrophysics Data System (ADS)

    Um, Myoung-Jin; Kim, Yeonjoo

    2017-08-01

    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.

  6. 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.

  7. [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.

  8. Experimental evaluation of common spacecraft data analysis techniques for reconnection region analysis in a laboratory plasma

    NASA Astrophysics Data System (ADS)

    Yoo, Jongsoo; Yamada, Masaaki

    2012-12-01

    A laboratory plasma is utilized to assess the effectiveness of several prominent spacecraft data analysis techniques. These include minimum variance analysis on the magnetic field (MVAB) and various boundary-crossing time analyses (BCTA) such as the constant velocity approach (CVA), constant thickness approach (CTA), and minimum thickness variance (MTV). Magnetic field data from measurement points that resemble the formation of multispacecraft flying though a reconnecting current sheet is used to check MVAB and BCTA to deduce a proper normal vector. Results from each method are compared to the values measured by 2-D magnetic probe arrays. We examine discharges with a two-dimensional (2-D) X-line structure as well as cases in which a flux rope forms within the layer. All discharges are in a two-fluid regime in which electrons are magnetized but ions are not. We conclude that CVA with four sample measurement points forming a tetrahedron generates a reasonable unit normal vector

  9. Genetic analysis of chromosomal rearrangements in the cyclops region of the zebrafish genome.

    PubMed Central

    Talbot, W S; Egan, E S; Gates, M A; Walker, C; Ullmann, B; Neuhauss, S C; Kimmel, C B; Postlethwait, J H

    1998-01-01

    Genetic screens in zebrafish have provided mutations in hundreds of genes with essential functions in the developing embryo. To investigate the possible uses of chromosomal rearrangements in the analysis of these mutations, we genetically characterized three gamma-ray induced alleles of cyclops (cyc), a gene required for development of midline structures. We show that cyc maps near one end of Linkage Group 12 (LG 12) and that this region is involved in a reciprocal translocation with LG 2 in one gamma-ray induced mutation, cyc(b213). The translocated segments together cover approximately 5% of the genetic map, and we show that this rearrangement is useful for mapping cloned genes that reside in the affected chromosomal regions. The other two alleles, cyc(b16) and cyc(b229), have deletions in the distal region of LG 12. Interestingly, both of these mutations suppress recombination between genetic markers in LG 12, including markers at a distance from the deletion. This observation raises the possibility that these deletions affect a site required for meiotic recombination on the LG 12 chromosome. The cyc(b16) and cyc(b229) mutations may be useful for balancing other lethal mutations located in the distal region of LG 12. These results show that chromosomal rearrangements can provide useful resources for mapping and genetic analyses in zebrafish. PMID:9475747

  10. European regional efficiency and geographical externalities: a spatial nonparametric frontier analysis

    NASA Astrophysics Data System (ADS)

    Ramajo, Julián; Cordero, José Manuel; Márquez, Miguel Ángel

    2017-10-01

    This paper analyses region-level technical efficiency in nine European countries over the 1995-2007 period. We propose the application of a nonparametric conditional frontier approach to account for the presence of heterogeneous conditions in the form of geographical externalities. Such environmental factors are beyond the control of regional authorities, but may affect the production function. Therefore, they need to be considered in the frontier estimation. Specifically, a spatial autoregressive term is included as an external conditioning factor in a robust order- m model. Thus we can test the hypothesis of non-separability (the external factor impacts both the input-output space and the distribution of efficiencies), demonstrating the existence of significant global interregional spillovers into the production process. Our findings show that geographical externalities affect both the frontier level and the probability of being more or less efficient. Specifically, the results support the fact that the spatial lag variable has an inverted U-shaped non-linear impact on the performance of regions. This finding can be interpreted as a differential effect of interregional spillovers depending on the size of the neighboring economies: positive externalities for small values, possibly related to agglomeration economies, and negative externalities for high values, indicating the possibility of production congestion. Additionally, evidence of the existence of a strong geographic pattern of European regional efficiency is reported and the levels of technical efficiency are acknowledged to have converged during the period under analysis.

  11. Comparative Analysis of Oscillations of a Solar Quiet Region Using Multi-Wavelength Observations

    NASA Astrophysics Data System (ADS)

    Kontogiannis, I.; Tsiropoula, G.; Tziotziou, K.

    2010-07-01

    We analyze the temporal behavior of a solar quiet region using a set of multi-wavelength observations obtained during a coordinated campaign. The observations were acquired by the ground-based Dutch Open Telescope (DOT), the Michelson Doppler Imager (MDI) on-board SOHO and the UV filters of the Transition Region and Coronal Explorer (TRACE). A large range of height in the solar atmosphere, from the deep photosphere to the upper chromosphere is covered by these instruments. We investigate the oscillation properties of the intensities and velocities in distinct regions of the quiet Sun, i.e. internetwork, bright points (NBP) defining the network boundaries and dark mottles forming a well-defined rosette, as observed by the different instruments and in the different heights. The variations of the intensities and velocities are studied with wavelet analysis. The aim of our work is to find similarities and/or differences in the oscillatory phenomena observed in the different examined regions, as well as comprehensive information on the interaction of the oscillations and the magnetic field.

  12. 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.

  13. Including historical data on the Regional Analysis of extreme storm surges

    NASA Astrophysics Data System (ADS)

    Frau, Roberto; Andreewsky, Marc; Bernardara, Pietro

    2017-04-01

    The occurrence of rare (up to 10-4 annual probability of occurrence) and extreme oceano-meteorological conditions is required to design effective coastal protections and to protect coastal areas from flooding. Statistical methods based on the extreme value theory are widely used for the characterisation of such events. Unfortunately, this was often performed from very short observations series (usually 30 years to 50 years long) and the uncertainties associated to the extrapolation are too wide to be used in a design approach. Nowadays, larger dataset are available, in particular when looking at the regional scale. Moreover, in several disciplines the historical evidence of extreme events observed before the systematic observation periods, has been provided by specific studies. In the framework, the combination between these two sources of information is shown to dramatically increase the reliability of the statistical extrapolation. Merge the two approaches is however challenging because of the need to define homogenous regions and to consider the fact that historical data are not continuous and exhaustive. Here, an overall methodology is presented which allows a robust estimation, including a selection an optimal sampling threshold and a definition a "regional credible duration", which describe the amount of information available, taking into account the unknown period of observation associated with historical events. The Regional Historical Analysis is applied on a database of extreme skew storm surges and on a several extreme historical storm surges collected from different sources.

  14. Analysis of tectonic movements utilizing remote sensor products in the Southern Espinhaco (SE) region

    NASA Astrophysics Data System (ADS)

    Veneziani, Paulo; Tavaresdemattos, Juercio; Ohara, Tomoyuki

    1989-06-01

    The area under study, the Southern Espinhaco Region, Minas Gerais State, Brazil, comprises metasedimentary sequences of Proterozoic, a typical granite-greenstone belt of Archaean age, gneiss, mignatites, granulites, and metasedimentary, and mafic to felsic units attributed to undifferentiated Precambrian. The region suffered a complex geologic evolution, including polycyclic and polymetamorphic events. Deformations occurred during the deposition of sediments (synsedimentary) due to compressive forces acting repeatedly during the geologic history of the region, resulting in superimposed orogenesis. The ruptile, ruptile-ductile tectonics that were part of different events registered in the petrographic and structural record were analyzed by LANDSAT (MSS, RBV, and TM) and radar images, aeromagnetic data, and field work. The main results of this research are: identification of 7 sets of joint zones which are controlled along N-S, EW and NW-SE directions during the Archaean to Late Proterozoic events; identification of sinistral transcurrent movements along N50-60W lineaments during the compressive phase of Late Proterozoic; occurrence of different tectonic movements (compression and tension) along the main directions of fracturing; finally the analysis of lithostratigraphic and fracturing data permits to envisage the geologic history of Proterozoic evolution of the region characterized by mechanism compatible to intraplate tectonic movements (ensialic environment).

  15. Feature extraction, analysis, and 3D visualization of local lung regions in volumetric CT images

    NASA Astrophysics Data System (ADS)

    Delegacz, Andrzej; Lo, Shih-Chung B.; Freedman, Matthew T.; Mun, Seong K.

    2001-05-01

    The purpose of the work was to develop image functions for volumetric segmentation, feature extraction, and enhanced 3D visualization of local regions using CT datasets of human lungs. The system is aimed to assist the radiologist in the analysis of lung nodules. Volumetric datasets consisting of 30-50 thoracic helical low-dose CT slices were used in the study. The 3D topological characteristics of local structures including bronchi, blood vessels, and nodules were computed and evaluated. When a location of a region of interest is identified, the computer would automatically compute size, surface of the area, and normalized shape index of the suspected lesion. The developed system can also allow the user to perform interactive operation for evaluation of lung regions and structures through a user- friendly interface. These functions provide the user with a powerful tool to observe and investigate clinically interesting regions through unconventional radiographic viewings and analyses. The developed functions can also be used to view and analyze patient's lung abnormalities in surgical planning applications. Additionally, we see the possibility of using the system as a teaching tool for correlating anatomy of lungs.

  16. 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.

  17. 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.

  18. 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

  19. Phylogenetic analysis of Tibetan mastiffs based on mitochondrial hypervariable region I.

    PubMed

    Ren, Zhanjun; Chen, Huiling; Yang, Xuejiao; Zhang, Chengdong

    2017-03-01

    Recently, the number of Tibetan mastiffs, which is a precious germplasm resource and cultural heritage, is decreasing sharply. Therefore, the genetic diversity of Tibetan mastiffs needs to be studied to clarify its phylogenetics relationships and lay the foundation for resource protection, rational development and utilization of Tibetan mastiffs. We sequenced hypervariable region I of mitochondrial DNA (mtDNA) of 110 individuals from Tibet region and Gansu province. A total of 12 polymorphic sites were identified which defined eight haplotypes of which H4 and H8 were unique to Tibetan population with H8 being identified first. The haplotype diversity (Hd: 0.808), nucleotide diversity (Pi: 0.603%), the average number of nucleotide difference (K: 3.917) of Tibetan mastiffs from Gansu were higher than those from Tibet region (Hd: 0.794; Pi: 0.589%; K: 3.831), which revealed higher genetic diversity in Gansu. In terms of total population, the genetic variation was low. The median-joining network and phylogenetic tree based on the mtDNA hypervariable region I showed that Tibetan mastiffs originated from grey wolves, as the other domestic dogs and had different history of maternal origin. The mismatch distribution analysis and neutrality tests indicated that Tibetan mastiffs were in genetic equilibrium or in a population decline.

  20. Hazard analysis of Arid and semi-Arid (ASAL) regions of Kenya.

    PubMed

    Tabu, J S; Otwelo, J A; Koskei, P; Makokha, P

    2013-06-01

    water scarcity, poverty and low educational levels. The region suffers from a variety of hazards in particular Drought and famine, Epidemics including HIV/AIDS and War and conflict. Environmental degradation though given a low score may be more of a perception. There is need to undertake a comprehensive hazard and Vulnerability analysis at regional and country level to inform interventions and other developmental activities. Women should be targeted at the community and leadership level, and efforts to empower them should be stepped up.

  1. Identifying genomic regions for fine-mapping using genome scan meta-analysis (GSMA) to identify the minimum regions of maximum significance (MRMS) across populations

    PubMed Central

    Cooper, Margaret E; Goldstein, Toby H; Maher, Brion S; Marazita, Mary L

    2005-01-01

    In order to detect linkage of the simulated complex disease Kofendrerd Personality Disorder across studies from multiple populations, we performed a genome scan meta-analysis (GSMA). Using the 7-cM microsatellite map, nonparametric multipoint linkage analyses were performed separately on each of the four simulated populations independently to determine p-values. The genome of each population was divided into 20-cM bin regions, and each bin was rank-ordered based on the most significant linkage p-value for that population in that region. The bin ranks were then averaged across all four studies to determine the most significant 20-cM regions over all studies. Statistical significance of the averaged bin ranks was determined from a normal distribution of randomly assigned rank averages. To narrow the region of interest for fine-mapping, the meta-analysis was repeated two additional times, with each of the 20-cM bins offset by 7 cM and 13 cM, respectively, creating regions of overlap with the original method. The 6–7 cM shared regions, where the highest averaged 20-cM bins from each of the three offsets overlap, designated the minimum region of maximum significance (MRMS). Application of the GSMA-MRMS method revealed genome wide significance (p-values refer to the average rank assigned to the bin) at regions including or adjacent to all of the simulated disease loci: chromosome 1 (p < 0.0001 for 160–167 cM, including D1), chromosome 3 (p-value < 0.0000001 for 287–294 cM, including D2), chromosome 5 (p-value < 0.001 for 0–7 cM, including D3), and chromosome 9 (p-value < 0.05 for 7–14 cM, the region adjacent to D4). This GSMA analysis approach demonstrates the power of linkage meta-analysis to detect multiple genes simultaneously for a complex disorder. The MRMS method enhances this powerful tool to focus on more localized regions of linkage. PMID:16451653

  2. Identifying genomic regions for fine-mapping using genome scan meta-analysis (GSMA) to identify the minimum regions of maximum significance (MRMS) across populations.

    PubMed

    Cooper, Margaret E; Goldstein, Toby H; Maher, Brion S; Marazita, Mary L

    2005-12-30

    In order to detect linkage of the simulated complex disease Kofendrerd Personality Disorder across studies from multiple populations, we performed a genome scan meta-analysis (GSMA). Using the 7-cM microsatellite map, nonparametric multipoint linkage analyses were performed separately on each of the four simulated populations independently to determine p-values. The genome of each population was divided into 20-cM bin regions, and each bin was rank-ordered based on the most significant linkage p-value for that population in that region. The bin ranks were then averaged across all four studies to determine the most significant 20-cM regions over all studies. Statistical significance of the averaged bin ranks was determined from a normal distribution of randomly assigned rank averages. To narrow the region of interest for fine-mapping, the meta-analysis was repeated two additional times, with each of the 20-cM bins offset by 7 cM and 13 cM, respectively, creating regions of overlap with the original method. The 6-7 cM shared regions, where the highest averaged 20-cM bins from each of the three offsets overlap, designated the minimum region of maximum significance (MRMS). Application of the GSMA-MRMS method revealed genome wide significance (p-values refer to the average rank assigned to the bin) at regions including or adjacent to all of the simulated disease loci: chromosome 1 (p < 0.0001 for 160-167 cM, including D1), chromosome 3 (p-value < 0.0000001 for 287-294 cM, including D2), chromosome 5 (p-value < 0.001 for 0-7 cM, including D3), and chromosome 9 (p-value < 0.05 for 7-14 cM, the region adjacent to D4). This GSMA analysis approach demonstrates the power of linkage meta-analysis to detect multiple genes simultaneously for a complex disorder. The MRMS method enhances this powerful tool to focus on more localized regions of linkage.

  3. 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

  4. Southern California Alluvial Basins Regional Aquifer-Systems analysis; a bibliography

    USGS Publications Warehouse

    Moyle, W.R.; Martin, Peter; Schluter, R.C.; Woolfenden, L.R.; Downing, Karen; Elliott, A.L.; Maltby, D.E.

    1986-01-01

    A bibliography for the Southern California Alluvial Basins Regional Aquifer-Systems Analysis includes references for about 3,500 publications related to the geohydrology of the 75,000 sq-mi region, which encompasses all of southern California except the Central Valley, the Channel Islands and the Pacific Ocean floor off southern California, and parts of adjacent states and Mexico. The report indexes the publications in six geographic categories and induces a list of sources of publications. Because of the large number of references in the bibliography, a system was developed for computer storage and retrieval. References can be retrieved by geographic location, author, or geohydrologic discipline and subject. The computer system allows for updating and addition of references. (USGS)

  5. [The Italian Immunization Plan 2017: analysis and starting point for the Regional Plans].

    PubMed

    Santoro, Viviana; Morucci, Luca; Ciabattini, Marco; D'Alò, Gian Loreto; D'Ercole, Maurizio; Gallo, Rosaria; Mastrosanti, Roberto; Russomanno, Alessio; Terracciano, Elisa; Zaratti, Laura; Franco, Elisabetta

    2017-01-01

    The National Immunization Plan 2017-2019 has been approved on January 2017. This official document contains the new Italian guidelines to improve vaccination coverage in the country. We conducted an accurate and critical analysis of the document, highlighting its key points and critical issues, in order to offer an practical tool for writing the Regional Plans. The new immunization schedule and the establishment of a restricted panel for the vaccine vigilance are the most significant innovations of the Plan. The Plan addresses also the issues of mandatory vaccination and of penalties for physicians who advise against vaccinations. Together with the presence of qualifying aspects as information about the ethical value and the benefits of vaccination, the Plan contains other interesting proposals, such as the introduction of a computerized vaccination register and the targeted use of new technologies to reach the population extensively. The Plan is set up as a conceptually rich tool, suitable for the development of regional operational plans.

  6. Fuzzy decision analysis for integrated environmental vulnerability assessment of the mid-Atlantic Region.

    PubMed

    Tran, Liem T; Knight, C Gregory; O'Neill, Robert V; Smith, Elizabeth R; Riitters, Kurt H; Wickham, James

    2002-06-01

    A fuzzy decision analysis method for integrating ecological indicators was developed. This was a combination of a fuzzy ranking method and the analytic hierarchy process (AHP). The method was capable of ranking ecosystems in terms of environmental conditions and suggesting cumulative impacts across a large region. Using data on land cover, population, roads, streams, air pollution, and topography of the Mid-Atlantic region, we were able to point out areas that were in relatively poor condition and/or vulnerable to future deterioration. The method offered an easy and comprehensive way to combine the strengths of fuzzy set theory and the AHP for ecological assessment. Furthermore, the suggested method can serve as a building block for the evaluation of environmental policies.

  7. Salient region detection improved by principle component analysis and boundary information.

    PubMed

    Wu, Po-Hung; Chen, Chien-Chi; Ding, Jian-Jiun; Hsu, Chi-Yu; Huang, Ying-Wun

    2013-09-01

    Salient region detection is useful for several image-processing applications, such as adaptive compression, object recognition, image retrieval, filter design, and image retargeting. A novel method to determine the salient regions of images is proposed in this paper. The L₀ smoothing filter and principle component analysis (PCA) play important roles in our framework. The L₀ filter is extremely helpful in characterizing fundamental image constituents, i.e., salient edges, and can simultaneously diminish insignificant details, thus producing more accurate boundary information for background merging and boundary scoring. PCA can reduce computational complexity as well as attenuate noise and translation errors. A local-global contrast is then used to calculate the distinction. Finally, image segmentation is used to achieve full-resolution saliency maps. The proposed method is compared with other state-of-the-art saliency detection methods and shown to yield higher precision-recall rates and F-measures.

  8. Recent changes in the global and regional carbon cycle: analysis of first-order diagnostics

    NASA Astrophysics Data System (ADS)

    Rayner, P. J.; Stavert, A.; Scholze, M.; Ahlström, A.; Allison, C. E.; Law, R. M.

    2015-02-01

    We analyse global and regional changes in CO2 fluxes using two simple models, an airborne fraction of anthropogenic emissions and a linear relationship with CO2 concentrations. We show that both models are able to fit the non-anthropogenic (hereafter natural) flux over the length of the atmospheric concentration record. Analysis of the linear model (including its uncertainties) suggests no significant decrease in the response of the natural carbon cycle. Recent data points rather to an increase. We apply the same linear diagnostic to fluxes from atmospheric inversions. Flux responses show clear regional and seasonal patterns driven by terrestrial uptake in the northern summer. Ocean fluxes show little or no linear response. Terrestrial models show clear responses, agreeing globally with the inversion responses, however the spatial structure is quite different, with dominant responses in the tropics rather than the northern extratropics.

  9. Pan-genome sequence analysis using Panseq: an online tool for the rapid analysis of core and accessory genomic regions

    PubMed Central

    2010-01-01

    Background The pan-genome of a bacterial species consists of a core and an accessory gene pool. The accessory genome is thought to be an important source of genetic variability in bacterial populations and is gained through lateral gene transfer, allowing subpopulations of bacteria to better adapt to specific niches. Low-cost and high-throughput sequencing platforms have created an exponential increase in genome sequence data and an opportunity to study the pan-genomes of many bacterial species. In this study, we describe a new online pan-genome sequence analysis program, Panseq. Results Panseq was used to identify Escherichia coli O157:H7 and E. coli K-12 genomic islands. Within a population of 60 E. coli O157:H7 strains, the existence of 65 accessory genomic regions identified by Panseq analysis was confirmed by PCR. The accessory genome and binary presence/absence data, and core genome and single nucleotide polymorphisms (SNPs) of six L. monocytogenes strains were extracted with Panseq and hierarchically clustered and visualized. The nucleotide core and binary accessory data were also used to construct maximum parsimony (MP) trees, which were compared to the MP tree generated by multi-locus sequence typing (MLST). The topology of the accessory and core trees was identical but differed from the tree produced using seven MLST loci. The Loci Selector module found the most variable and discriminatory combinations of four loci within a 100 loci set among 10 strains in 1 s, compared to the 449 s required to exhaustively search for all possible combinations; it also found the most discriminatory 20 loci from a 96 loci E. coli O157:H7 SNP dataset. Conclusion Panseq determines the core and accessory regions among a collection of genomic sequences based on user-defined parameters. It readily extracts regions unique to a genome or group of genomes, identifies SNPs within shared core genomic regions, constructs files for use in phylogeny programs based on both the presence

  10. Pan-genome sequence analysis using Panseq: an online tool for the rapid analysis of core and accessory genomic regions.

    PubMed

    Laing, Chad; Buchanan, Cody; Taboada, Eduardo N; Zhang, Yongxiang; Kropinski, Andrew; Villegas, Andre; Thomas, James E; Gannon, Victor P J

    2010-09-15

    The pan-genome of a bacterial species consists of a core and an accessory gene pool. The accessory genome is thought to be an important source of genetic variability in bacterial populations and is gained through lateral gene transfer, allowing subpopulations of bacteria to better adapt to specific niches. Low-cost and high-throughput sequencing platforms have created an exponential increase in genome sequence data and an opportunity to study the pan-genomes of many bacterial species. In this study, we describe a new online pan-genome sequence analysis program, Panseq. Panseq was used to identify Escherichia coli O157:H7 and E. coli K-12 genomic islands. Within a population of 60 E. coli O157:H7 strains, the existence of 65 accessory genomic regions identified by Panseq analysis was confirmed by PCR. The accessory genome and binary presence/absence data, and core genome and single nucleotide polymorphisms (SNPs) of six L. monocytogenes strains were extracted with Panseq and hierarchically clustered and visualized. The nucleotide core and binary accessory data were also used to construct maximum parsimony (MP) trees, which were compared to the MP tree generated by multi-locus sequence typing (MLST). The topology of the accessory and core trees was identical but differed from the tree produced using seven MLST loci. The Loci Selector module found the most variable and discriminatory combinations of four loci within a 100 loci set among 10 strains in 1 s, compared to the 449 s required to exhaustively search for all possible combinations; it also found the most discriminatory 20 loci from a 96 loci E. coli O157:H7 SNP dataset. Panseq determines the core and accessory regions among a collection of genomic sequences based on user-defined parameters. It readily extracts regions unique to a genome or group of genomes, identifies SNPs within shared core genomic regions, constructs files for use in phylogeny programs based on both the presence/absence of accessory regions

  11. 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.

  12. Brain regions involved in human movement perception: a quantitative voxel-based meta-analysis.

    PubMed

    Grosbras, Marie-Hélène; Beaton, Susan; Eickhoff, Simon B

    2012-02-01

    Face, hands, and body movements are powerful signals essential for social interactions. In the last 2 decades, a large number of brain imaging studies have explored the neural correlates of the perception of these signals. Formal synthesis is crucially needed, however, to extract the key circuits involved in human motion perception across the variety of paradigms and stimuli that have been used. Here, we used the activation likelihood estimation (ALE) meta-analysis approach with random effect analysis. We performed meta-analyses on three classes of biological motion: movement of the whole body, hands, and face. Additional analyses of studies of static faces or body stimuli and sub-analyses grouping experiments as a function of their control stimuli or task employed allowed us to identify main effects of movements and forms perception, as well as effects of task demand. In addition to specific features, all conditions showed convergence in occipito-temporal and fronto-parietal regions, but with different peak location and extent. The conjunction of the three ALE maps revealed convergence in all categories in a region of the right posterior superior temporal sulcus as well as in a bilateral region at the junction between middle temporal and lateral occipital gyri. Activation in these regions was not a function of attentional demand and was significant also when controlling for non-specific motion perception. This quantitative synthesis points towards a special role for posterior superior temporal sulcus for integrating human movement percept, and supports a specific representation for body parts in middle temporal, fusiform, precentral, and parietal areas.

  13. Assessing the relative importance of surface ozone influential variables in regional-scale analysis

    NASA Astrophysics Data System (ADS)

    Lu, Wei-Zhen; Wang, Dong

    The multilayer perceptron (MLP) model is frequently used to assess the relative importance (RI) of surface ozone influential variables when they are used to investigate ozone variation mechanisms. Previous studies, however, suffer from two limitations: 1) indentifying or searching the optimal MLP topology to avoid a biased RI assessment inevitably incurs a heavy computational burden, and 2) the model is suitable only for local-scale analysis of ozone variation mechanisms. To tackle both problems, we selected three typical air-quality monitoring sites in Hong Kong as our study targets, as the ozone variations at these sites are inhomogeneously affected by regional and local factors. An MLP model trained by automatic relevance determination (referred to as MLP-ARD), a Bayesian MLP approach, was employed to assess the RI for both regional and local ozone influential variables. The results indicated the following remarks: 1) The MLP-ARD model, due to its high degree of resistance to both the over-fitting and the under-fitting problems, is exempt from identifying or searching the optimal MLP topology when used to obtain an unbiased RI assessment and thus avoid the heavy computational burden. Furthermore, the RI assessment results obtained with the MLP-ARD method are comparable to those of the best assessment method in the literature. Based on these findings, decision-makers can scientifically promulgate a site-specific air pollution control strategy site; 2) Regional-scale analysis of ozone variation is indispensable, as taking the key regional ozone influential variables into account significantly improves the prediction accuracy of the MLP-ARD model, especially on peak ozone days.

  14. Association Analysis of the Extended MHC Region in Celiac Disease Implicates Multiple Independent Susceptibility Loci

    PubMed Central

    Ahn, Richard; Ding, Yuan Chun; Murray, Joseph; Fasano, Alessio; Green, Peter H. R.; Neuhausen, Susan L.; Garner, Chad

    2012-01-01

    Celiac disease is a common autoimmune disease caused by sensitivity to the dietary protein gluten. Forty loci have been implicated in the disease. All disease loci have been characterized as low-penetrance, with the exception of the high-risk genotypes in the HLA-DQA1 and HLA-DQB1 genes, which are necessary but not sufficient to cause the disease. The very strong effects from the known HLA loci and the genetically complex nature of the major histocompatibility complex (MHC) have precluded a thorough investigation of the region. The purpose of this study was to test the hypothesis that additional celiac disease loci exist within the extended MHC (xMHC). A set of 1898 SNPs was analyzed for association across the 7.6 Mb xMHC region in 1668 confirmed celiac disease cases and 517 unaffected controls. Conditional recursive partitioning was used to create an informative indicator of the known HLA-DQA1 and HLA-DQB1 high-risk genotypes that was included in the association analysis to account for their effects. A linkage disequilibrium-based grouping procedure was utilized to estimate the number of independent celiac disease loci present in the xMHC after accounting for the known effects. There was significant statistical evidence for four new independent celiac disease loci within the classic MHC region. This study is the first comprehensive association analysis of the xMHC in celiac disease that specifically accounts for the known HLA disease genotypes and the genetic complexity of the region. PMID:22615847

  15. 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.

  16. Regional differences in cerebral edema after traumatic brain injury identified by impedance analysis.

    PubMed

    Harting, Matthew T; Smith, Carter T; Radhakrishnan, Ravi S; Aroom, Kevin R; Dash, Pramod K; Gill, Brijesh; Cox, Charles S

    2010-03-01

    Cerebral edema is a common and potentially devastating sequel of traumatic brain injury. We developed and validated a system capable of tissue impedance analysis, which was found to correlate with cerebral edema. Constant sinusoidal current (50 microA), at frequencies from 500 to 5000 Hz, was applied across a bipolar electrode unit superficially placed in a rat brain after traumatic brain injury. Rats were randomized to three groups: severe controlled cortical injury (CCI), mild CCI, or sham injury. At 60 h post-CCI, cerebral voltage and phase angle were measured at each frequency at the site of injury, at the penumbral region, at the ipsilateral frontal region, and in the contralateral hemisphere. Impedance measurements were also obtained in vivo. The electrical properties of varied injuries and specified locations were compared using a repeated measures analysis of variance (RMANOVA), were correlated with regional tissue water percentage using regression analyses, and were combined to generate polar coordinates. The measured voltage was significantly different at the site of injury (P<0.0001), in the penumbra (P=0.002), and in the contralateral hemisphere (P=0.005) when severe, mild, and sham CCI rats were compared. Severely injured rats had statistically different voltage measurements when the various sites were compared (P=0.002). The ex vivo measurements correlated with in vivo measurements. Further, the impedance measurements correlated with measured tissue water percentage at the site of injury (R2=0.69; P<0.0001). The creation of a polar coordinate graph, incorporating voltage and phase angle measurements, enabled the identification of impedance areas unique to normal, mild edema, and severe edema measurements in the rat brain. Electrical measurements and tissue water percentages quantified regional and severity differences in rat brain edema after CCI. Impedance was inversely proportional to the tissue water percentage. Thus, impedance measurement can be

  17. DHPLC-based method for DNA methylation analysis of differential methylated regions from imprinted genes.

    PubMed

    Couvert, P; Poirier, K; Carrié, A; Chalas, C; Jouannet, P; Beldjord, C; Bienvenu, T; Chelly, J; Kerjean, A

    2003-02-01

    The bisulfite genomic sequencing method is one of the most widely used techniques for methylation analysis in heterogeneous unbiased PCR, amplifying for both methylated and unmethylated alleles simultaneously. However, it requires labor-intensive and time-consuming cloning and sequencing steps. In the current study, we used a denaturing high-performance liquid chromatography (DHPLC) procedure in a complementary way with the bisulfite genomic sequencing to analyze the methylation of differentially methylated regions (DMRs) of imprinted genes. We showed reliable and reproducible results in distinguishing overall methylation profiles of DMRs regions of human SNRPN, H19, MEST/PEG1, LIT1, IGF2, TSSC5, WT1 antisense, and mouse H19, Mest/Peg1, Igf2R imprinted genes. These DHPLC profiles were in accordance with bisulfite genomic sequencing data and may serve as a type of "fingerprint," revealing the overall methylation status of DMRs associated with sample heterogeneity. We conclude that DHPLC analysis could be used to increase the throughput efficiency of methylation pattern analysis of imprinted genes after the bisulfite conversion of genomic DNA and unbiased PCR amplification.

  18. 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. Copyright © 2015 Elsevier B.V. All rights reserved.

  19. 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

  20. A cluster analysis of constant ambient air monitoring data from the Kanto region of Japan.

    PubMed

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

    2014-07-03

    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.

  1. Analysis of a severe prolonged regional haze episode in the Yangtze River Delta, China

    NASA Astrophysics Data System (ADS)

    Wang, Mengya; Cao, Chunxiang; Li, Guoshuai; Singh, Ramesh P.

    2015-02-01

    A severe prolonged regional haze episode occurred over the Yangtze River Delta (YRD) from 2 to 14 December 2013. In this paper, we have discussed the probable cause of haze episode and aerosol characteristics. Analysis of visibility and meteorological parameters suggest that the meteorological conditions play a very important role in the accumulation of aerosol particles that cause haze. The height of the planetary boundary layer (PBL) is considered as one of the key factors together with other factors in the haze formation. The Principal Component Analysis (PCA) clearly shows accumulation process of air pollutants from vehicular, industrial and anthropogenic sources are major contributors for the haze formation. The aerosol optical properties (aerosol optical depth - AOD, Ångström exponent - α and Ultra Violet Aerosol Index - UVAI) are analyzed to study the temporal and spatial variations of aerosol loadings. The results show concentrations of fine mode particles during the haze episode, the dust could have been also entered in the region from the northwestern China. Analysis of vertical aerosol profiles indicate that dust aerosols concentrated in the lower part of the haze layers.

  2. [Ecological compensation standard in Dongting Lake region of returning cropland to lake based on emergy analysis].

    PubMed

    Mao, De-Hua; Hu, Guang-Wei; Liu, Hui-Jie; Li, Zheng-Zui; Li, Zhi-Long; Tan, Zi-Fang

    2014-02-01

    The annual emergy and currency value of the main ecological service value of returning cropland to lake in Dongting Lake region from 1999 to 2010 was calculated based on emergy analysis. The calculation method of ecological compensation standard was established by calculating annual total emergy of ecological service function increment since the starting year of returning cropland to lake, and the annual ecological compensation standard and compensation area were analyzed from 1999 to 2010. The results indicated that ecological compensation standard from 1999 to 2010 was 40.31-86.48 yuan x m(-2) with the mean of 57.33 yuan x m(-2). The ecological compensation standard presented an increase trend year by year due to the effect of eco-recovery of returning cropland to lake. The ecological compensation standard in the research area presented a swift and steady growth trend after 2005 mainly due to the intensive economy development of Hunan Province, suggesting the value of natural ecological resources would increase along with the development of society and economy. Appling the emergy analysis to research the ecological compensation standard could reveal the dynamics of annual ecological compensation standard, solve the abutment problem of matter flow, energy flow and economic flow, and overcome the subjective and arbitrary of environment economic methods. The empirical research of ecological compensation standard in Dongting Lake region showed that the emergy analysis was feasible and advanced.

  3. Evolution of possibly active regions on Titan using Cassini/VIMS data analysis

    NASA Astrophysics Data System (ADS)

    Solomonidou, Anezina; Coustenis, Athena; Hirtzig, Mathieu; Bratsolis, Emmanuel; Drossart, Pierre; Bampasidis, Georgios; Kyriakopoulos, Konstantinos; Le Mouélic, Stephane; Rodriguez, Sebastien; Jaumann, Ralf; Stephan, Katrin; Lopes, Rosaly M. C.; Sotin, Christophe; Brown, Robert H.; Stamatelopoulou-Seymour, Karen; Moussas, Xenophon

    2013-04-01

    We present a study of Titan's complex geology with a focus on the satellite's surface regions that are showing spectral variations with time possibly linked to geological activity. We apply a statistical method, the Principal Component Analysis (PCA) [1] and a radiative transfer method (RT) [1,2] on three potentially 'active' regions on Titan, i.e. surface areas possibly subject to change over time (in brightness and/or in color etc.), namely Tui Regio (20°S, 130°W), a 1,500-km long flow-like figure, Hotei Regio (26°S, 78°W), a 700-km wide volcanic-like terrain, and Sotra Facula (15°S, 42°W), a 235-km in diameter area. With our PCA method we manage to isolate regions of distinct spectral response in all data available for our three study areas. Then, with our follow-up radiative transfer code we retrieve the surface albedo of the isolated regions with respect to the Huygens landing site albedo, which we use as a reference region and we compare them. Using this double procedure, we study the temporal surface variations of the three regions witnessing albedo changes with time for Tui Regio from 2005-2009 (darkening) and Sotra Facula from 2005-2006 (brightening) at all wavelengths. Hotei Regio has been suggested to present brightness variations over a two-year period (2004-2005) by Nelson et al. 2009 [3]. However, we find that the to-date available observations of that region present issues (geometry, resolution) that prevent an accurate application of our radiative transfer model to infer surface information with the desired accuracy. Therefore, we do not detect any significant surface albedo variations over time from 2004 and until 2009 given the uncertainties involved. The surface albedo variations, which we currently investigate in terms of chemical composition, and the volcanic-like features such as calderas, domes and lobate flows, which are present within the regions as shown by RADAR data analysis [e.g. 4], suggest that these features are compatible with

  4. 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.

  5. 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.

  6. Non-Maxwellian Analysis of the Transition-region Line Profiles Observed by the Interface Region Imaging Spectrograph

    NASA Astrophysics Data System (ADS)

    Dudík, Jaroslav; Polito, Vanessa; Dzifčáková, Elena; Del Zanna, Giulio; Testa, Paola

    2017-06-01

    We investigate the nature of the spectral line profiles for transition-region (TR) ions observed with the Interface Region Imaging Spectrograph (IRIS). In this context, we analyzed an active-region observation performed by IRIS in its 1400 Å spectral window. The TR lines are found to exhibit significant wings in their spectral profiles, which can be well fitted with a non-Maxwellian κ distribution. The fit with a κ distribution can perform better than a double-Gaussian fit, especially for the strongest line, Si iv 1402.8 Å. Typical values of κ found are about 2, occurring in a majority of spatial pixels where the TR lines are symmetric, i.e., the fit can be performed. Furthermore, all five spectral lines studied (from Si iv, O iv, and S iv) appear to have the same full-width at half-maximum irrespective of whether the line is an allowed or an intercombination transition. A similar value of κ is obtained for the electron distribution by the fitting of the line intensities relative to Si iv 1402.8 Å, if photospheric abundances are assumed. The κ distributions, however, do not remove the presence of non-thermal broadening. Instead, they actually increase the non-thermal width. This is because, for κ distributions, TR ions are formed at lower temperatures. The large observed non-thermal width lowers the opacity of the Si iv line sufficiently enough for this line to become optically thin.

  7. [Regional anaesthesia as advantage in competition between hospitals. Strategic market analysis].

    PubMed

    Heller, A R; Bauer, K R; Eberlein-Gonska, M; Albrecht, D M; Koch, T

    2009-05-01

    The German Social Act V section sign 12 is aimed towards competition, efficiency and quality in healthcare. Because surgical departments are billing standard diagnosis-related group (DRG) case costs to health insurance companies, they claim best value for money for internal services. Thus, anaesthesia concepts are being closely scrutinized. The present analysis was performed to gain economic arguments for the strategic positioning of regional anaesthesia procedures into clinical pathways. Surgical procedures, which in 2005 had a relevant caseload in Germany, were chosen in which regional anaesthesia procedures (alone or in combination with general anaesthesia) could routinely be used. The structure of costs and earnings for hospital services, split by types and centres of cost, as well as by underlying procedures are contained in the annually updated public accessible dataset (DRG browser) of the German Hospital Reimbursement Institute (InEK). For the year 2005 besides own data, national anaesthesia staffing costs are available from the German Society of Anaesthesiology (DGAI). The curve of earnings per DRG can be calculated from the 2005 InEK browser. This curve intersects by the cost curve at the point of national mean length of stay. The cost curve was calculated by process-oriented distribution of cost centres over the length of stay and allows benchmarking within the national competitive environment. For comparison of process times data from our local database were used. While the InEK browser lacks process times, the cost positions 5.1-5.3 (staffing costs anaesthesia) and the national structure adjusted anaesthesia staffing costs 2005 as published by the DGAI, were used to calculate nationwide mean available anaesthesia times which were compared with own process times. Within the portfolio diagram of lengths of stay for each DRG and process times most procedures are located in the economic lower left, in particular those with high case mix (length of stay and

  8. A new framework for estimating return levels using regional frequency analysis

    NASA Astrophysics Data System (ADS)

    Winter, Hugo; Bernardara, Pietro; Clegg, Georgina

    2017-04-01

    We propose a new framework for incorporating more spatial and temporal information into the estimation of extreme return levels. Currently, most studies use extreme value models applied to data from a single site; an approach which is inefficient statistically and leads to return level estimates that are less physically realistic. We aim to highlight the benefits that could be obtained by using methodology based upon regional frequency analysis as opposed to classic single site extreme value analysis. This motivates a shift in thinking, which permits the evaluation of local and regional effects and makes use of the wide variety of data that are now available on high temporal and spatial resolutions. The recent winter storms over the UK during the winters of 2013-14 and 2015-16, which have caused wide-ranging disruption and damaged important infrastructure, provide the main motivation for the current work. One of the most impactful natural hazards is flooding, which is often initiated by extreme precipitation. In this presentation, we focus on extreme rainfall, but shall discuss other meteorological variables alongside potentially damaging hazard combinations. To understand the risks posed by extreme precipitation, we need reliable statistical models which can be used to estimate quantities such as the T-year return level, i.e. the level which is expected to be exceeded once every T-years. Extreme value theory provides the main collection of statistical models that can be used to estimate the risks posed by extreme precipitation events. Broadly, at a single site, a statistical model is fitted to exceedances of a high threshold and the model is used to extrapolate to levels beyond the range of the observed data. However, when we have data at many sites over a spatial domain, fitting a separate model for each separate site makes little sense and it would be better if we could incorporate all this information to improve the reliability of return level estimates. Here

  9. FFT analysis on NDVI annual cycle and climatic regionality in Northeast Brazil

    NASA Astrophysics Data System (ADS)

    Negrón Juárez, Robinson I.; Liu, William T.

    2001-11-01

    By considering that the climate of Northeast Brazil (NEB) has distinct wet and dry seasons, the mixed radix fast Fourier transform (mrFFT) algorithm, developed at the National Aerospace Centre of the Netherlands, was applied to a monthly Normalized Difference Vegetation Index (NDVI) time series from July 1981 to June 1993, to generate phase, amplitude and mean NDVI data using a 1-year frequency in order to improve the analysis of its spatial variation.The NDVI mean values varied from >0.7, which occurred in northwest and southeast regions, to <0.3 in the northeast and 0.4 in the southwest regions of the NEB. The 90° phase month at its maximum amplitude occurred in August and was observed in both southeastern and northwestern coasts, located at 10.5°S-37.5°W and 4°S-46°W, respectively. It changed rapidly from August, June to May, moved inland and changed gradually from May through to April and from March to February, then moved towards the centre Dry Polygon area. Then it changed gradually from February to January and ended up in December, and moved further southwards. The annual cycle amplitude varied from <0.075 in northwest and southeast regions to >0.25 in the northeast region. By using spatial variations of phase, amplitude and mean NDVI values, 15 climate types were delineated for the NEB.The spatial distribution of climate types in the NEB delineated by the NDVI FFT analysis agreed mostly with the climatic types presented by Hargreaves (Precipitation dependability and potentials for agricultural production in Northeast Brazil. Empresa Brasileira de Pesquisa Agropecuária-EMBRAPA, Brazil, 1974), except regions with higher spatial variability and limited surface meteorological data. Among the three components: phase, amplitude and mean NDVI, the phase image, informing the initiation and duration of rainy season, was the most important component for climate-type delineation. Nevertheless, while the extreme values of amplitude, inferring a high wet

  10. Sequence analysis of mtDNA COI barcode region revealed three haplotypes within Culex pipiens assemblage.

    PubMed

    Koosha, Mona; Oshaghi, Mohammad Ali; Sedaghat, Mohammad Mehdi; Vatandoost, Hassan; Azari-Hamidian, Shahyad; Abai, Mohammad Reza; Hanafi-Bojd, Ahmad Ali; Mohtarami, Fatemeh

    2017-10-01

    Members of the Culex (Culex) pipiens assemblage are known vectors of deadly encephalitides, periodic filariasis, and West Nile virus throughout the world. However, members of this assemblage are morphologically indistinguishable or hard to distinguish and play distinct roles in transmission of the diseases. The current study aimed to provide further evidence on utility of the two most popular nuclear (ITS2-rDNA) and mitochondrial (COI barcode region) genetic markers to identify members of the assemblage. Culex pipiens assemblage specimens from different climate zones of Iran were collected and identified to species level based on morphological characteristics. Nucleotide sequences of the loci for the specimens plus available data in the GenBank were analyzed to find species specific genetic structures useful for diagnosis purposes. ITS2 region was highly divergent within species or populations suggesting lack of consistency as a reliable molecular marker. In contrast, sequence analysis of 710 bp of COI gene revealed three fixed haplotypes named here "C, T, H" within the assemblage which can be distinguished by HaeIII and AluI enzymes. There were a correlation between the haplotypes and the world climate regions, where the haplotypes H/T and C are present mainly in temperate and tropical regions of the world, respectively. In the New world, Australia, and Japan only haplotype H is found. In conjunction between tropical and temperate regions such Iran, China, and Turkey, a mix of C/H or C/H/T are present. Although, the haplotypes are not strictly species-specific, however, Cx. quinquefasciatus was mainly of haplotype C. Due to the lack of mating barrier and questionable taxonomic situation of the complex members, the mentioned haplotypes in combination with other morphological and molecular characters might be used to address the genetic structure of the studied populations. Copyright © 2017 Elsevier Inc. All rights reserved.

  11. Multilevel analysis of the role of human factors in regional disparities in crash outcomes.

    PubMed

    Adanu, Emmanuel Kofi; Smith, Randy; Powell, Lars; Jones, Steven

    2017-10-06

    A growing body of research has examined the disparities in road traffic safety among population groups and geographic regions. These studies reveal disparities in crash outcomes between people and regions with different socioeconomic characteristics. A critical aspect of the road traffic crash epidemic that has received limited attention is the influence of local characteristics on human elements that increase the risk of getting into a crash. This paper applies multilevel logistic regression modeling techniques to investigate the influence of driver residential factors on driver behaviors in an attempt to explain the area-based differences in the severity of road crashes across the State of Alabama. Specifically, the paper reports the effects of characteristics attributable to drivers and the geographic regions they reside on the likelihood of a crash resulting in serious injuries. Model estimation revealed that driver residence (postal code or region) accounted for about 7.3% of the variability in the probability of a driver getting into a serious injury crash, regardless of driver characteristics. The results also reveal disparities in serious injury crash rate as well as significant proportions of serious injury crashes involving no seatbelt usage, driving under influence (DUI), unemployed drivers, young drivers, distracted driving, and African American drivers among some regions. The average credit scores, average commute times, and populations of driver postal codes are shown to be significant predictors for risk of severe injury crashes. This approach to traffic crash analysis presented can serve as the foundation for evidence-based policies and also guide the implementation of targeted countermeasures. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. Reproducibility of myelin water fraction analysis: a comparison of region of interest and voxel-based analysis methods.

    PubMed

    Meyers, Sandra M; Laule, Cornelia; Vavasour, Irene M; Kolind, Shannon H; Mädler, Burkhard; Tam, Roger; Traboulsee, Anthony L; Lee, Jimmy; Li, David K B; MacKay, Alex L

    2009-10-01

    This study compared region of interest (ROI) and voxel-based analysis (VBA) methods to determine the optimal method of myelin water fraction (MWF) analysis. Twenty healthy controls were scanned twice using a multi-echo T(2) relaxation sequence and ROIs were drawn in white and grey matter. MWF was defined as the fractional signal from 15 to 40 ms in the T(2) distribution. For ROI analysis, the mean intensity of voxels within an ROI was fit using non-negative least squares. For VBA, MWF was obtained for each voxel and the mean and median values within an ROI were calculated. There was a slightly higher correlation between Scan 1 and 2 for the VBA method (R(2)=0.98) relative to the ROI method (R(2)=0.95), and the VBA mean square difference between scans was 300% lower, indicating VBA was the most consistent between scans. For the VBA method, mean MWF was found to be more reproducible than median MWF. As the VBA method is more reproducible and gives more options for visualization and analysis of MWF, it is recommended over the ROI method of MWF analysis.

  13. High Resolution Spectroscopy and Global Analysis of the Tetradecad Region of Methane 12CH_4

    NASA Astrophysics Data System (ADS)

    Nikitin, A.; Boudon, V.; Wenger, C.; Brown, L. R.; Bauerecker, S.; Albert, S.; Quack, M.

    2011-06-01

    We present the first detailed analysis of the Tetradecad region of methane 12CH_4 from 2.1 to 1.6 μm (4800 to 6250 Cm-1). New high resolution FTIR spectra measured in a collisional cooling cell at 80 K and at room temperature have allowed us to perform many new assignments. All assigned lines of 12CH_4 in the 0-6200 Cm-1 region have been included in a global fit, extending our previous analysis covering all levels up to and including the Octad (i.e. up to 4800 Cm-1 In the end, 3012 line positions and 1387 intensities of 45 individual subbands were modeled up to J = 14. The root mean square deviations were 0.023 Cm-1 for line positions and 13.86 % for line intensities in the Tetradecad region itself. Although this study is still preliminary, it is already sufficient to characterize the stronger bands throughout the whole of the Tetradecad polyad. The analysis and present success substantially improves our understanding of the methane spectra needed to interpret planetary atmospheres. This work is part of the ANR contract ``CH_4@Titan'' (ref: BLAN08-2_321467). Part of the research described here was also carried out at the Jet Propulsion Laboratory, under a contract with the National Aeronautics and Space Administration. Our work is also supported by the Swiss National Science Foundation. S. Albert, S. Bauerecker, V. Boudon, L. R. Brown, J.-P. Champion, M. Loëte, A. Nikitin, M. Quack, Chem. Phys., 356, 131--146 (2009).

  14. Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer's disease and mild cognitive impairment.

    PubMed

    Westman, Eric; Aguilar, Carlos; Muehlboeck, J-Sebastian; Simmons, Andrew

    2013-01-01

    Automated structural magnetic resonance imaging (MRI) processing pipelines are gaining popularity for Alzheimer's disease (AD) research. They generate regional volumes, cortical thickness measures and other measures, which can be used as input for multivariate analysis. It is not clear which combination of measures and normalization approach are most useful for AD classification and to predict mild cognitive impairment (MCI) conversion. The current study includes MRI scans from 699 subjects [AD, MCI and controls (CTL)] from the Alzheimer's disease Neuroimaging Initiative (ADNI). The Freesurfer pipeline was used to generate regional volume, cortical thickness, gray matter volume, surface area, mean curvature, gaussian curvature, folding index and curvature index measures. 259 variables were used for orthogonal partial least square to latent structures (OPLS) multivariate analysis. Normalisation approaches were explored and the optimal combination of measures determined. Results indicate that cortical thickness measures should not be normalized, while volumes should probably be normalized by intracranial volume (ICV). Combining regional cortical thickness measures (not normalized) with cortical and subcortical volumes (normalized with ICV) using OPLS gave a prediction accuracy of 91.5 % when distinguishing AD versus CTL. This model prospectively predicted future decline from MCI to AD with 75.9 % of converters correctly classified. Normalization strategy did not have a significant effect on the accuracies of multivariate models containing multiple MRI measures for this large dataset. The appropriate choice of input for multivariate analysis in AD and MCI is of great importance. The results support the use of un-normalised cortical thickness measures and volumes normalised by ICV.

  15. 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...

  16. 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...

  17. Analysis of epidemiological situation of iodine deficiency in Tomsk region from 1998 to 2014

    NASA Astrophysics Data System (ADS)

    Samoilova, Y. G.; Oleynik, O. A.; Yurchenko, E. V.; Zinchuk, S. F.; Sivolobova, T. V.; Rotkank, M. A.; Mazhitova, D. S.

    2017-08-01

    The purpose of the present research is the comparative analysis of the epidemiological situation of iodine deficiency in the Tomsk region from 1998 to 2014. There were examined 9901 and 15174 children of the school age including within the medical examination of the children’s population in 1998 and 2014 in Tomsk. At all school pupils there were analyzed anamnestic data and carried out anthropometrical measurements, ultrasonography of the thyroid gland was carried out using the portable scanner "Aloka SSD 500" with the linear sensor of 7,5 MHz frequency in the real time, the thyroid volume was evaluated according to Delange (1997). The excretion of inorganic iodine was determined at 264 in 1998 and at 120 children in 2014, respectively, in a one-time portion of urine by the cerium-arsenic method. There was additionally carried out the analysis of results of determination of TSH at 10717 in 1998, and at 15091 in 2014 in a spot of the whole blood at newborn children on the 4-5 day after birth at full-term and on the 7-14 day at prematurely born children. Neonatal TSH in the dried-up samples of capillary blood was determined by the method of the fluorometric immune-ferment analysis with the use of sets of TSH-Neonatal: Delfia, Finland. Statistical processing of the data obtained was carried out with the use of the applied software package pspp. The descriptive analysis included calculation of the median for the quantitative and the calculation of frequencies for qualitative data. The comparative analysis included calculation of distinctions reliability by the Mann-Whitney criterion for independent and to Wilcoxon’s criterion for dependent data. The comparative analysis of epidemiological situation of iodine deficiency in Tomsk and the Tomsk region in 1998 and 2014 specifies decreasing the iodine deficiency diseases in the Tomsk region, increasing the iodine provision of the population within 15 years by 27%, decreasing neonatal hyperthyroidism by 1.5 times.

  18. 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.

  19. Ultrasound-Guided Regional Anesthesia and Patient Safety: Update of an Evidence-Based Analysis.

    PubMed

    Neal, Joseph M

    2016-01-01

    In 2010, the American Society of Regional Anesthesia and Pain Medicine's evidence-based medicine assessment of ultrasound (US)-guided regional anesthesia (UGRA) analyzed the effect of this nerve localization technology on patient safety. That analysis focused on 4 important regional anesthesia complications: peripheral nerve injury, local anesthetic systemic toxicity (LAST), hemidiaphragmatic paresis (HDP), and pneumothorax. In the intervening 5 years, further research has allowed us to refine our original conclusions. This update reviews previous findings and critically evaluates new literature published since late 2009 that compares the patient safety attributes of UGRA with those of traditional nerve localization methods. As with the previous version of this exercise, analysis focused on randomized controlled trials that compared UGRA with an alternative neural localization method and case series of more than 500 patients. The Jadad score was used to grade individual study quality, and conclusions were graded as to strength of evidence. Of those randomized controlled trials identified by our search techniques, 28 compared the incidence of postoperative nerve symptoms, 27 assessed LAST parameters, 7 studied HDP, and 9 reported the incidence of pneumothorax. The current analysis strengthens our original conclusions that US guidance has no significant effect on the incidence of postoperative neurologic symptoms and that UGRA reduces the incidence and intensity of HDP but does so in an unpredictable manner. Conversely, emerging evidence supports the effectiveness of US guidance for reducing LAST across its clinical presentation continuum. The predicted frequency of pneumothorax has grown smaller in tandem with increased experience with US-guided supraclavicular block. This evidence-based review summarizes both the power and the limitations of UGRA as a tool for improving patient safety. Since the original 2010 publication of this analysis, evidence has continued to

  20. Regional frequency analysis of multiyear droughts using watershed and climatic information

    NASA Astrophysics Data System (ADS)

    Paulson, Edwin G.; Sadeghipour, Jamshid; Dracup, John A.

    1985-04-01

    A regional frequency analysis of hydrologic multiyear droughts is performed using multiple linear regression to estimate characteristics of drought severity, magnitude and duration from indices of watershed geomorphology, and climate. Thirteen characteristics of drought severity, magnitude and duration are used as dependent variables; eleven indices of watershed geomorphology and meteorology are used as independent variables. Results indicate that reasonable estimation accuracy is obtained utilizing Central Valley of California, U.S.A., streamflow data (mean standard errors between 14% and 41%). The proposed regression relations are primarily statistical models, and are not necessarily reliable indicators of cause-and-effect physical relationships.

  1. 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.

  2. Performance analysis of digital FM demodulators for fading channels in the threshold region

    NASA Technical Reports Server (NTRS)

    Dharamsi, M. T.; Gupta, S. C.

    1976-01-01

    The quasi-optimum digital FM demodulators for fading channels reported earlier (1975) reflected the system performance accurately under high signal to noise ratio conditions. In this paper, the prediction of the system performance for low SNR values is considered. A new set of error variance algorithms is developed from the filter algorithm assuming a Gaussian distribution for the state estimation errors and taking the effect of high frequency terms into consideration. Simulation analysis for an FM system with Rician fading channel shows that these algorithms predict the system performance accurately in the threshold region.

  3. 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.

  4. Spatio-temporal flow analysis in bileaflet heart valve hinge regions: potential analysis for blood element damage.

    PubMed

    Simon, Hélène A; Dasi, Lakshmi P; Leo, Hwa-Liang; Yoganathan, Ajit P

    2007-08-01

    Point-wise velocity measurements have been traditionally acquired to estimate blood damage potential induced by prosthetic heart valves with emphasis on peak values of velocity magnitude and Reynolds stresses. However, the inherently Lagrangian nature of platelet activation and hemolysis makes such measurements of limited predictive value. This study provides a refined fluid mechanical analysis, including blood element paths and stress exposure times, of the hinge flows of a CarboMedics bileaflet mechanical heart valve placed under both mitral and aortic conditions and a St Jude Medical bileaflet valve placed under aortic conditions. The hinge area was partitioned into characteristic regions based on dominant flow structures and spatio-temporal averaging was performed on the measured velocities and Reynolds shear stresses to estimate the average bulk stresses acting on blood elements transiting through the hinge. A first-order estimate of viscous stress levels and exposure times were computed. Both forward and leakage flow phases were characterized in each partition by dynamic flows dependent on subtle leaflet movements and transvalvular pressure fluctuations. Blood elements trapped in recirculation regions may experience exposure times as long as the entire forward flow phase duration. Most calculated stresses were below the accepted blood damage threshold. Estimates of the stress levels indicate that the flow conditions within the boundary layers near the hinge and leaflet walls may be more detrimental to blood cells than bulk flow conditions, while recirculation regions may promote thrombus buildup.

  5. 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.

  6. 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.

  7. Parameter Uncertainty Analysis Using Monte Carlo Simulations for a Regional-Scale Groundwater Model

    NASA Astrophysics Data System (ADS)

    Zhang, Y.; Pohlmann, K.

    2016-12-01

    Regional-scale grid-based groundwater models for flow and transport often contain multiple types of parameters that can intensify the challenge of parameter uncertainty analysis. We propose a Monte Carlo approach to systematically quantify the influence of various types of model parameters on groundwater flux and contaminant travel times. The Monte Carlo simulations were conducted based on the steady-state conversion of the original transient model, which was then combined with the PEST sensitivity analysis tool SENSAN and particle tracking software MODPATH. Results identified hydrogeologic units whose hydraulic conductivity can significantly affect groundwater flux, and thirteen out of 173 model parameters that can cause large variation in travel times for contaminant particles originating from given source zones.

  8. Application of distribution-free nonstationary regional frequency analysis based on L-moments

    NASA Astrophysics Data System (ADS)

    Sung, Jang Hyun; Kim, Young-Oh; Jeon, Jong-June

    2017-08-01

    Regional frequency analysis (RFA) based on L-moments is widely used in the analysis of hydrological process. However, L-moments are defined by order statistics from a stationary distribution and thus theoretically good properties of RFA do not hold under a nonstationary distribution. In this study, a procedure was proposed for an RFA based on L-moments for nonstationary hydrological processes. The proposed method uses a distribution-free de-trended method to apply the conventional RFA based on L-moments. The conventional and the proposed RFAs for annual maximum precipitation in South Korea were compared, and the simulation results indicated that the proposed RFA could provide proper information regarding heterogeneity in a nonstationary distribution. The estimated results of return levels, the median in the nonstationary RFA, were higher than in the conventional RFA.

  9. 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.

  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. 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.

  12. Regional assessment of trends in vegetation change dynamics using principal component analysis

    NASA Astrophysics Data System (ADS)

    Osunmadewa, B. A.; Csaplovics, E.; R. A., Majdaldin; Adeofun, C. O.; Aralova, D.

    2016-10-01

    Vegetation forms the basis for the existence of animal and human. Due to changes in climate and human perturbation, most of the natural vegetation of the world has undergone some form of transformation both in composition and structure. Increased anthropogenic activities over the last decades had pose serious threat on the natural vegetation in Nigeria, many vegetated areas are either transformed to other land use such as deforestation for agricultural purpose or completely lost due to indiscriminate removal of trees for charcoal, fuelwood and timber production. This study therefore aims at examining the rate of change in vegetation cover, the degree of change and the application of Principal Component Analysis (PCA) in the dry sub-humid region of Nigeria using Normalized Difference Vegetation Index (NDVI) data spanning from 1983-2011. The method used for the analysis is the T-mode orientation approach also known as standardized PCA, while trends are examined using ordinary least square, median trend (Theil-Sen) and monotonic trend. The result of the trend analysis shows both positive and negative trend in vegetation change dynamics over the 29 years period examined. Five components were used for the Principal Component Analysis. The results of the first component explains about 98 % of the total variance of the vegetation (NDVI) while components 2-5 have lower variance percentage (< 1%). Two ancillary land use land cover data of 2000 and 2009 from European Space Agency (ESA) were used to further explain changes observed in the Normalized Difference Vegetation Index. The result of the land use data shows changes in land use pattern which can be attributed to anthropogenic activities such as cutting of trees for charcoal production, fuelwood and agricultural practices. The result of this study shows the ability of remote sensing data for monitoring vegetation change in the dry-sub humid region of Nigeria.

  13. Regional scale analysis of the topographic signatures of landslide/debris flow dominated processes

    NASA Astrophysics Data System (ADS)

    Tarolli, P.; Righetto, A.

    2012-04-01

    The morphology of alpine headwater basins is strongly influenced by erosion processes. The relationship between landforms and erosion processes has been analyzed based on the relationship between slope and drainage area (Montgomery and Foufoula-Georgiou, 1993), because among parameters derived from a DTM (Digital Terrain Model), slope and drainage area are deemed to be pertinent for studying overall erosion dynamics. Thanks to LiDAR and high resolution topography now is possible to reach a better representation of hillslope morphology, and then recognize in detail the topographic signature of valley incision by landslides and debris flows (Tarolli and Dalla Fontana, 2009). In this work we present a tentative of a regional scale analysis of such signature. In the analysis we derived the slope-area relationship using high-resolution DTMs with 2.5 m cells derived from LiDAR (Light Detection and Ranging) data. We considered 23 catchments, characterized by soil-mantled landscape, and where several debris flows occurred in the year 2009. The results showed that in 83% catchments the topographic signature of debris flow processes is clearly present, while in the remaining catchments only hillslopes, unchanneled valleys and alluvial channels regions are recognized. The slope-area relationships of few catchments where no debris flows were observed during 2009 events, nor reported in the historical database, were then analyzed. For these basins the slope-area relationship does not evidence the topographic signature of debris flow processes. According to these results the presented methodology really can help for a right preliminary analysis and classification of alpine catchments based on their dominant geomorphological processes. The methodology should be used for a first and quick interpretation, in support to field surveys and more complex physically based modeling analysis.

  14. Application of regional frequency analysis to the estimation of extreme storm surges

    NASA Astrophysics Data System (ADS)

    Bernardara, Pietro; Andreewsky, Marc; Benoit, Michel

    2011-02-01

    Traditionally, extreme value theory is applied to single-site series of surge observations in order to estimate the probability of occurrence of extreme events at that particular site. However, single-site analyses give uncertain estimation of extreme quantiles, mainly because of the limited duration of observation periods. In order to reduce this uncertainty, regional frequency analysis (RFA) approaches suggest collecting information not only from a single-site series but also from all (statistically) similar available series of observation. The use of RFA is widely increasing in geosciences, but few applications have been attempted yet for surge estimation. The aim of this study is to examine the applicability of RFA to extreme storm surges. The surge data observed at 18 French harbors, located on the Atlantic coast from the Spanish to Belgian borders, were collected. The series span a period of 30 years, on average, with the longest series going back to the 19th century. Stationary and independent samples of extreme surges (peaks over a given threshold) are extracted and their (statistical) homogeneity has been tested via heterogeneity and discordancy measures based on L moments. Homogeneous regions have been identified and, in order to merge information on frequency of occurrence of surges from all the sites, a surge index pooling method is defined. Finally, a regional frequency distribution has been estimated. The hypothesis and the applicability of RFA application are discussed, with some ideas for future developments in the research direction.

  15. 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

    2017-01-01

    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.

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

    PubMed

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

    2015-06-25

    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.

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

    PubMed

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

    2016-07-08

    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.

  18. 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.

  19. Sequence analysis of 21 genes located in the Kartagener syndrome linkage region on chromosome 15q.

    PubMed

    Geremek, Maciej; Schoenmaker, Frederieke; Zietkiewicz, Ewa; Pogorzelski, Andrzej; Diehl, Scott; Wijmenga, Cisca; Witt, Michal

    2008-06-01

    Primary ciliary dyskinesia (PCD) is a rare genetic disorder, which shows extensive genetic heterogeneity and is mostly inherited in an autosomal recessive fashion. There are four genes with a proven pathogenetic role in PCD. DNAH5 and DNAI1 are involved in 28 and 10% of PCD cases, respectively, while two other genes, DNAH11 and TXNDC3, have been identified as causal in one PCD family each. We have previously identified a 3.5 cM (2.82 Mb) region on chromosome 15q linked to Kartagener syndrome (KS), a subtype of PCD characterized by the randomization of body organ positioning. We have now refined the KS candidate region to a 1.8 Mb segment containing 18 known genes. The coding regions of these genes and three neighboring genes were subjected to sequence analysis in seven KS probands, and we were able to identify 60 single nucleotide sequence variants, 35 of which resided in mRNA coding sequences. However, none of the variations alone could explain the occurrence of the disease in these patients.

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

    PubMed Central

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

    2015-01-01

    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

  1. 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.

  2. Genomic analysis of the Xp21 region around the RP3 locus

    SciTech Connect

    Navia, B.A.; Eisenman, R.E.; Bruns, G.A.

    1994-09-01

    One form of X-linked retinitis pigmentosa has been localized by deletion and linkage analysis to proximal Xp21 near the OTC locus and the proximal breakpoint of the BB deletion. A deletion junction clone, previously isolated from this region, was used to initiate a series of bidirectional walks in a human genomic library in EMBL3A. A phage contig of nearly 70 kb has been cloned and systematically searched for conserved sequences and CA repeats. A number of unique sequences around the breakpoint have been sequenced and analyzed with exon identification programs. An HTF island was identified approximately 35 kb distal to the centromeric breakpoint of the BB deletion and several CA repeat-containing areas were found in the contig. Two YACs that contain the breakpoint and surrounding region were isolated. A phage sublibrary was constructed from one of the YACs and is being used to extend the contig map further centromeric. To isolate transcripts from the region, two rounds of cDNA selection from a combined short insert human retinal and fetal brain library were performed against the pooled phage clones from the contig and against the pooled phage from the YAC derived sublibrary. Among the selected cDNAs, several unique sequences have been identified and are currently being mapped and sequenced.

  3. Constraining reconnection region conditions using imaging and spectroscopic analysis of a coronal jet

    NASA Astrophysics Data System (ADS)

    Brannon, Sean; Kankelborg, Charles

    2017-08-01

    Coronal jets typically appear as thin, collimated structures in EUV and X-ray wavelengths, and are understood to be initiated by magnetic reconnection in the lower corona or upper chromosphere. Plasma that is heated and accelerated upward into coronal jets may therefore carry indirect information on conditions in the reconnection region and current sheet located at the jet base. On 2017 October 14, the Interface Region Imaging Spectrograph (IRIS) and Solar Dynamics Observatory Atmospheric Imaging Assembly (SDO/AIA) observed a series of jet eruptions originating from NOAA AR 12599. The jet structure has a length-to-width ratio that exceeds 50, and remains remarkably straight throughout its evolution. Several times during the observation bright blobs of plasma are seen to erupt upward, ascending and subsequently descending along the structure. These blobs are cotemporal with footpoint and arcade brightenings, which we believe indicates multiple episodes of reconnection at the structure base. Through imaging and spectroscopic analysis of jet and footpoint plasma we determine a number of properties, including the line-of-sight inclination, the temperature and density structure, and lift-off velocities and accelerations of jet eruptions. We use these properties to constrain the geometry of the jet structure and conditions in reconnection region.

  4. 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

  5. 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.

  6. 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

  7. Crust and upper-mantle discontinuities from analysis of broadband seismological data in the Mediterranean region

    NASA Astrophysics Data System (ADS)

    van der Meijde, M.; van der Lee, S.; Giardini, D.

    2001-12-01

    We have analyzed receiver functions to derive simple crustal models for a total of 17 permanent and temporary 3-component broadband seismological stations in the Mediterranean region. The 12 studied temporary stations have been operated under the MIDSEA project. To determine an accurate Moho depth we have reduced the trade-off between crustal velocities and discontinuity depth by using a new grid search method, which is an extension of recently published methods to determine crustal thickness. The values we find for Moho depth range from around 20 km for intra-oceanic islands and extended continental margins to near 45 km in regions where the Eurasian and African continents have collided. The relatively stable north-eastern African margin shows crustal thicknesses close to a standard value of 35 km while the relatively tectonically disturbed margin of north-western Africa shows significantly thinner crust. Modeling of crustal structure shows that all stacked receiver functions can be explained within standard deviations by a 2- or 3-layer model containing a sedimentary layer and/or a mid-crustal discontinuity. Both receiver function analysis and cross-correlation are powerful tools to reveal interfaces in the upper-mantle. For studying upper-mantle discontinuities we use both these methods. We transform the processed signals to the slowness-time domain to highlight P-to-S conversions from interfaces at different depths. The tectonic complexity of the Mediterranean region is found to extend down to the transition zone.

  8. 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.

  9. 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.

  10. Free energy analysis on the coding region of the individual genes of Saccharomyces cerevisiae.

    PubMed

    Xing, Chuanhua; Bitzer, D L; Alexander, W E; Stomp, A M; Vouk, M A

    2006-01-01

    Two methods, power spectrum density analysis (PSD) and synchronization signal approximation, were investigated to determine if underlying periodic, free energy signals could be detected for the individual genes in this paper. These signals could be revealed assuming Watson-Crick type hybridization between the eight, 3'-terminal nucleotides of the 18S rRNA and pre- and mature-mRNA sequences in Saccharomyces cerevisiae in a manner similar to that used to analyze coding region sequences in prokaryotic genes. Using PSD, a periodic signal could only be detected in 35 of 106 genes tested; using the synchronization signal approximation, 91 of 106 genes showed linearly increasing magnitude and phase, characteristics consistent with the presence of an underlying periodic signal with an assumed frequency of one-third. The majority of introns did not show magnitude and phase behavior consistent with an underlying non-periodic signal. The periodicity property for the free energy on the protein-coding regions can contribute to finding the approximate boundaries of the exons (protein coding regions) and the introns, which provides a foundation for future studies in identifying the exact positions of the splice sites, especially for the higher eukaryotic genes.

  11. 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.

  12. Analysis of Synoptic Weather Types and Its Influence on Precipitation in the Marmara Region (NW Turkey)

    NASA Astrophysics Data System (ADS)

    Baltaci, H.; Kindap, T.; Unal, A.; Karaca, M.

    2012-04-01

    In this study, we investigated the relationship between synoptic weather types and rainfall patterns in the Marmara region, northwestern part of Turkey. For this purpose, the automated Lamb weather type classification method was applied to the NCEP/NCAR reanalysis daily mean sea level pressure data for the period between 2001 and 2010. Ten synoptic weather types were found that represent the 90% of the synoptic patterns that affect the Marmara region. Based on the annual frequency analysis, mainly six synoptic weather types, 24% (NorthEast), 21% (North), 11% (South), 9% (SouthWest), 7% (Anticyclonic), 5% (Cyclonic), were found dominant in the region. Multiple comparison tests suggest that (i.e., Bonferroni test) northerly patterns (i.e., North and NorthEast) have statistically significantly higher percentages as compared to the southerly (i.e., South and SouthWest) and the rest of the patterns (i.e., Anticylonic and Cylonic). During winter months, N- and NE-patterns observed less frequently than the annual frequencies of them, 18% and 13% of the period, respectively. On the other hand, due to the formation of the low pressure center located over the central Mediterranean Sea, S- and SW-patterns were observed more frequently than their annual mean frequencies, 16% and 17%, respectively. During summer months, N- and NE-patterns become dominant in the region, and they constitute about three quarters of the period, 25% and 44%, respectively. The low pressure center located over central Anatolia and Black Sea brings moist and cool air to the region, preventing excessive heating during the summer season. Cyclonic patterns observed less frequent during the winter and fall months, about 3%. They become more frequent during the summer season, 9% as a result of the shifting of the subtropical jet stream to the south, and the seasonal movement of the Basra low pressure toward the inner and northern parts of the Anatolian peninsula. On the other hand, Anticyclonic patterns are

  13. Development of a near-infrared/mid-infrared dual-region spectrometer for online process analysis.

    PubMed

    Genkawa, Takuma; Watari, Masahiro; Nishii, Takashi; Ozaki, Yukihiro

    2012-07-01

    A near-infrared (NIR) and mid-infrared (mid-IR) dual-region spectrometer having two immersion probes, a transmission probe for NIR, and an attenuated total reflection (ATR) probe for mid-IR has been developed for highly reliable process monitoring and deep process understanding. This spectrometer facilitates sequential acquisition of both NIR (10,000-4000 cm(-1)) and mid-IR (5000-1200 cm(-1)) spectra by switching the light path leading to the probes without the need for probe replacement. The use of a single light source and a single beam splitter enables achievement of a permanent alignment of the optical system and sequential data acquisition. The transmission NIR and ATR mid-IR probes designed and developed in the present study facilitate the acquisition of NIR/mid-IR spectra with optimized absorption intensities in both regions by simply placing the probes into a sample solution. The performance of the developed spectrometer was demonstrated in monitoring the ethanol fermentation process. NIR/mid-IR spectra of the fermentation solution with multiplicative scatter correction (MSC) represent the relative changes in the concentrations of glucose and ethanol in both regions. Principal component analysis (PCA) was performed on the MSC-treated spectra in the regions 6300-5650 cm(-1), 4850-4300 cm(-1), and 3500-2880 cm(-1) to detect the end-point of the fermentation as an example of process monitoring. For all the regions, the score plot of the first principal component (PC) indicates that the fermentation progresses with the fermentation time and stops after 210 minutes and thus the end-point of the fermentation exists at around 210 minutes. The loading plot indicates that all of the first PCs are the relative changes in the concentrations of glucose and ethanol. This result reveals that the same chemical changes are observed in both transmission NIR and ATR mid-IR spectra. Multiple and simultaneous analysis was also performed, and intensity change in light

  14. 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

  15. 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

  16. 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

  17. Attribution analysis of runoff decline in a semiarid region of the Loess Plateau, China

    NASA Astrophysics Data System (ADS)

    Li, Binquan; Liang, Zhongmin; Zhang, Jianyun; Wang, Guoqing; Zhao, Weimin; Zhang, Hongyue; Wang, Jun; Hu, Yiming

    2016-12-01

    Climate variability and human activities are two main contributing attributions for runoff changes in the Yellow River, China. In the loess hilly-gully regions of the middle Yellow River, water shortage has been a serious problem, and this results in large-scale constructions of soil and water conservation (SWC) measures in the past decades in order to retain water for agricultural irrigation and industrial production. This disturbed the natural runoff characteristics. In this paper, we focused on a typical loess hilly-gully region (Wudinghe and Luhe River basins) and investigated the effects of SWC measures and climate variability on runoff during the period of 1961-2013, while the SWC measures were the main representative of human activities in this region. The nonparametric Mann-Kendall test was used to analyze the changes of annual precipitation, air temperature, potential evapotranspiration (PET), and runoff. The analysis revealed the decrease in precipitation, significant rise in temperature, and remarkable runoff reduction with a rate of more than 0.4 mm per year. It was found that runoff capacity in this region also decreased. Using the change point detection methods, the abrupt change point of annual runoff series was found at 1970, and thus, the study period was divided into the baseline period (1961-1970) and changed period (1971-2013). A conceptual framework based on four statistical runoff methods was used for attribution analysis of runoff decline in the Wudinghe and Luhe River basins (-37.3 and -56.4%, respectively). Results showed that runoff reduction can be explained by 85.2-90.3% (83.3-85.7%) with the SWC measures in the Wudinghe (Luhe) River basin while the remaining proportions were caused by climate variability. The findings suggested that the large-scale SWC measures demonstrated a dominant influence on runoff decline, and the change of precipitation extreme was also a promoting factor of the upward trending of SWC measures' contribution to

  18. 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

  19. 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.

  20. An enhanced trend surface analysis equation for regional-residual separation of gravity data

    NASA Astrophysics Data System (ADS)

    Obasi, A. I.; Onwuemesi, A. G.; Romanus, O. M.

    2016-12-01

    Trend surface analysis is a geological term for a mathematical technique which separates a given map set into a regional component and a local component. This work has extended the steps for the derivation of the constants in the trend surface analysis equation from the popularly known matrix and simultaneous form to a more simplified and easily achievable format. To achieve this, matrix inversion was applied to the existing equations and the outcome was tested for suitability using a large volume of gravity data set acquired from the Anambra Basin, south-eastern Nigeria. Tabulation of the field data set was done using the Microsoft Excel spread sheet, while gravity maps were generated from the data set using Oasis Montaj software. A comparison of the residual gravity map produced using the new equations with its software derived counterpart has shown that the former has a higher enhancing capacity than the latter. This equation has shown strong suitability for application in the separation of gravity data sets into their regional and residual components.

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

    PubMed

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

    2016-01-20

    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.

  2. 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).

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

    NASA Astrophysics Data System (ADS)

    Fabró, Ferran; Montanyà, 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.

  4. The mitochondrial genome of the entomopathogenic fungus Beauveria bassiana: analysis of the ribosomal RNA region.

    PubMed

    Pfeifer, T A; Hegedus, D D; Khachatourians, G G

    1993-01-01

    The 28.5-kbp mitochondrial (mt) genome from the entomopathogenic fungus Beauveria bassiana was studied using restriction enzyme analysis, gene probe hybridization, and DNA sequence comparisons. A detailed restriction enzyme map allowed cloning of the entire genome into a number of segments. Hybridization of heterologous gene probes to the mtDNA resulted in the identification of the large ribosomal RNA (lrRNA) and small ribosomal RNA (srRNA) genes. Gene probes derived from several yeasts and fungi failed to identify any additional genes. However, partial DNA sequence analysis revealed the lrRNA and srRNA genes as well as four protein-encoding genes: the NADH dehydrogenase subunit 1 (NAD1), NADH dehydrogenase subunit 6 (NAD6), cytochrome oxidase subunit 3 (CO3), and ATPase subunit 6 (ATP6) genes. The ATPase subunit 9 (ATP9) gene was not identified by hybridization to mtDNA, but could be detected by hybridization to total cellular DNA. The portions of the genes sequenced were homologous to the equivalent genes from yeast and other filamentous fungi, most notably Aspergillus nidulans. No introns were identified in these regions. The organization of the sequenced region of the B. bassiana mt genome more closely resembled that of A. nidulans than that of Podospora anserina or Neurospora crassa.

  5. Y-chromosome analysis in Egypt suggests a genetic regional continuity in Northeastern Africa.

    PubMed

    Manni, Franz; Leonardi, Pascal; Barakat, Abdelhamid; Rouba, Hassan; Heyer, Evelyne; Klintschar, Michael; McElreavey, Ken; Quintana-Murci, Lluís

    2002-10-01

    The geographic location of Egypt, at the interface between North Africa, the Middle East, and southern Europe, prompted us to investigate the genetic diversity of this population and its relationship with neighboring populations. To assess the extent to which the modern Egyptian population reflects this intermediate geographic position, ten Unique Event Polymorphisms (UEPs), mapping to the nonrecombining portion of the Y chromosome, have been typed in 164 Y chromosomes from three North African populations. The analysis of these binary markers, which define 11 Y-chromosome lineages, were used to determine the haplogroup frequencies in Egyptians, Moroccan Arabs, and Moroccan Berbers and thereby define the Y-chromosome background in these regions. Pairwise comparisons with a set of 15 different populations from neighboring European, North African, and Middle Eastern populations and geographic analysis showed the absence of any significant genetic barrier in the eastern part of the Mediterranean area, suggesting that genetic variation and gene flow in this area follow the "isolation-by-distance" model. These results are in sharp contrast with the observation of a strong north-south genetic barrier in the western Mediterranean basin, defined by the Gibraltar Strait. Thus, the Y-chromosome gene pool in the modern Egyptian population reflects a mixture of European, Middle Eastern, and African characteristics, highlighting the importance of ancient and recent migration waves, followed by gene flow, in the region.

  6. Analysis of drought index trends for the Carpathian Basin using regional climate model simulations

    NASA Astrophysics Data System (ADS)

    Bartholy, Judit; Pongracz, Rita; Sabitz, Judit

    2013-04-01

    As a result of global warming, besides shifts of regional mean climate, the frequency and intensity of different climatological extremes associated to both temperature and precipitation are changing. In this contribution the main focus is on the analysis of past and future drought conditions calculated from monthly time series of different regional climate model (RCM) simulations accomplished for the entire period of 1951-2100 within the frame of the ENSEMBLES program. All the RCM experiments applied 25 km horizontal resolution, and they considered the SRES A1B scenario, for which the estimated CO2 level by 2050 and 2100 is 532 ppm and 717 ppm, respectively. For this complex analysis we use different types of drought indices. (i) Precipitation indices are simple and require solely precipitation data, however, they are suitable for separating dry and wet periods, as well, as determining temporal variability. Simple precipitation index (PI), and standardized precipitation anomaly index (SAI) are used in the present study. (ii) Water balance indices consider other elements of the water balance besides precipitation, mainly evaporation as a function of temperature. Among them Lang's rainfall index (LRI), De Martonne aridity index (MAI), and Thornthwaite aridity index (TAI) are used in the present study. (iii) Recursive indices consider data from preceding period, thus characterise long time periods. A classical example to recursive indices is the Palmer Drought Severity Index, which we did not use in this study due to the complex calculation algorithm. However, Foley's anomaly index (FAI) is used instead. (iv) Soil moisture indices are able to estimate loss in crop yields and water shortage. In the present study Ped's drought index (PDI) is used. The results suggest significant drying in the region, especially, in summer.

  7. Bayesian Belief Network to support conflict analysis for groundwater protection: the case of the Apulia region.

    PubMed

    Giordano, Raffaele; D'Agostino, Daniela; Apollonio, Ciro; Lamaddalena, Nicola; Vurro, Michele

    2013-01-30

    Water resource management is often characterized by conflicts, as a result of the heterogeneity of interests associated with a shared resource. Many water conflicts arise on a global scale and, in particular, an increasing level of conflicts can be observed in the Mediterranean basin, characterized by water scarcity. In the present work, in order to assist the conflict analysis process, and thus outline a proper groundwater management, stakeholders were involved in the process and suitable tools were used in a Mediterranean area (the Apulia region, in Italy). In particular, this paper seeks to elicit and structure farmers' mental models influencing their decision over the main water source for irrigation. The more crucial groundwater is for farmers' objectives, the more controversial is the groundwater protection strategy. Bayesian Belief Networks were developed to simulate farmers' behavior with regard to groundwater management and to assess the impacts of protection strategy. These results have been used to calculate the conflict degree in the study area, derived from the introduction of policies for the reduction of groundwater exploitation for irrigation purposes. The less acceptable the policy is, the more likely it is that conflict will develop between farmers and the Regional Authority. The results of conflict analysis were also used to contribute to the debate concerning potential conflict mitigation measures. The approach adopted in this work has been discussed with a number of experts in groundwater management policies and irrigation management, and its main strengths and weaknesses have been identified. Increasing awareness of the existence of potential conflicts and the need to deal with them can be seen as an interesting initial shift in the Apulia region's water management regime, which is still grounded in merely technical approaches.

  8. Receiver Functions Analysis and Regional Tomography at StromboliVolcano (Italy)

    NASA Astrophysics Data System (ADS)

    Musumeci, C.; Barberi, G.; Martinez-Arevalo, C.; Castellano, M.; Patane, D.

    2006-12-01

    This study focuses on constraining the crust and upper mantle discontinuities at Stromboli volcano by considering both receiver function (RF) analysis on teleseismic body waveforms and regional tomography. The RF technique utilizes the waveforms of Ps conversions from velocity discontinuities to model variations in Vs beneath a seismic station (e.g. Ammon et al., 1990). The method is sensitive to velocity discontinuities, but it can only detect the velocity-depth product, and not the absolute velocity. Therefore, we use the regional tomographic results as an independent constraint on absolute velocity. In order to improve the velocity model beneath the volcano we reviewed the most recent classical local earthquake tomographies available for the thyrrenian region. Here we show a new lithospheric seismic tomography performed in the northeastern Sicily and southern Calabria, including the Aeolian Archipelago and Stromboli volcano area. The dataset, consisting of P and S arrival times from a thousand of earthquakes located in the studied area between 1994-2003, was inverted by using the standard tomography SimulPS and the double-difference algorithm of TomoDD (Zhang and Thurber, 2003) for simultaneous computation of hypocenter parameters and Vp and Vs three dimensional distributions. For RF analysis the seismograms from about 100 teleseismic earthquakes (M greater than 6.0), recorded between 2004 and 2006 at 13 broad-band seismic stations deployed by the INGV, have been considered to compute the receiver function by the Multi-Taper Spectral Correlation (MTSC) technique (Park and Levin, 2000). One key advantage of this method is its resistance to noise, which recommends its use in environments such as ocean sea islands with high noise levels in the seismic bands.

  9. 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

  10. Adjuvant radiotherapy of regional lymph nodes in breast cancer - a meta-analysis of randomized trials

    PubMed Central

    2013-01-01

    Background Radiotherapy (RT) improves overall survival (OS) of breast cancer patients after breast conserving surgery and after mastectomy in patients with involved lymph nodes (LN). The contribution of RT to the regional LN to this survival benefit was poorly understood. Recently, the results of three large randomized trials addressing this question have become available. Material and methods The published abstracts (full publication pending) of the MA.20 (n=1832) and the EORTC 22922–10925 (EORTC) (n=4004) trial and the full publication of the French trial (n=1334) were basis of the meta-analysis. Main eligibility criteria were positive axillary LN (all trials), LN negative disease with high risk for recurrence (MA.20), and medial/central tumor location (French, EORTC). The MA.20 and the EORTC trial tested the effect of additional regional RT to the internal mammary (IM) LN and medial supraclavicular (MS) LN, whereas in the French trial all patients received RT to the MS-LN and solely RT to the IM-LN was randomized. Primary endpoint was OS. Secondary endpoints were disease-free survival (DFS) and distant metastasis free survival (DMFS). Results Regional RT of the MS-LN and the IM-LN (MA.20 and EORTC) resulted in a significant improvement of OS (Hazard Ratio (HR) 0.85 (95% CL 0.75 - 0.96)). Adding the results of the French trial and using the random effects model to respect the different design of the French trial, the effect on OS of regional radiotherapy was still significant (HR 0.88 (95% CL 0.80 - 0.97)). The absolute benefits in OS were 1.6% in the MA.20 trial at 5 years, 1.6% in the EORTC trial at 10 years, and 3.3% in the French trial at 10 years (not significant in single trials). Regional radiotherapy of the MS-LN and the IM-LN (MA.20 and EORTC) was associated with a significant improvement of DFS (HR 0.85 (95% CL 0.77 - 0.94)) and DMFS (HR 0.82 (95% CL 0.73 - 0.92)). The effect sizes were not significantly different between trials for any end point

  11. 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

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

    PubMed

    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

  13. 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.

  14. 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.

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