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Sample records for cee region network

  1. CEE-ing is believing

    PubMed Central

    Lamb, Katrina

    2011-01-01

    Bioscience ventures in Central and Eastern Europe are becoming a presence in world healthcare markets despite a perennially short supply of venture funding and other support mechanisms relative to other world economic regions. Here are three up-and-coming CEE stories worth keeping an eye on. PMID:21869613

  2. CEE-ing is believing: bioscience ventures in Central and Eastern Europe.

    PubMed

    Lamb, Katrina

    2011-09-15

    Bioscience ventures in Central and Eastern Europe are becoming a presence in world healthcare markets despite a perennially short supply of venture funding and other support mechanisms relative to other world economic regions. Here are three up-and-coming CEE stories worth keeping an eye on.

  3. Becoming Centered: CEE Membership and Program Development

    ERIC Educational Resources Information Center

    VanAntwerp, Jill; Webb, Allen

    2006-01-01

    The authors argue that if the Conference on English Education (CEE) is to nurture and grow its membership in the coming years, we will need a more focused purpose related to the central mission of the organization: "the effective education and development of students and professionals in English language arts education." To that end, the authors…

  4. Becoming Centered: CEE Membership and Program Development

    ERIC Educational Resources Information Center

    VanAntwerp, Jill; Webb, Allen

    2006-01-01

    The authors argue that if the Conference on English Education (CEE) is to nurture and grow its membership in the coming years, we will need a more focused purpose related to the central mission of the organization: "the effective education and development of students and professionals in English language arts education." To that end, the authors…

  5. A Regional Medical Library Network *

    PubMed Central

    Pizer, Irwin H.

    1969-01-01

    The raison d'être for cooperative networks is discussed, and the development of the SUNY Biomedical Communication Network is traced briefly; a description of the system and its products is given. The cooperative cataloging program engaged in with the Francis A. Countway Library of Medicine and the National Library of Medicine is described, as are the efforts of the Network in the production of regional and state-wide union lists of serials. PMID:5778720

  6. Southern Appalachian Regional Seismic Network

    SciTech Connect

    Chiu, S.C.C.; Johnston, A.C.; Chiu, J.M.

    1994-08-01

    The seismic activity in the southern Appalachian area was monitored by the Southern Appalachian Regional Seismic Network (SARSN) since late 1979 by the Center for Earthquake Research and Information (CERI) at Memphis State University. This network provides good spatial coverage for earthquake locations especially in east Tennessee. The level of activity concentrates more heavily in the Valley and Ridge province of eastern Tennessee, as opposed to the Blue Ridge or Inner Piedmont. The large majority of these events lie between New York - Alabama lineament and the Clingman/Ocoee lineament, magnetic anomalies produced by deep-seated basement structures. Therefore SARSN, even with its wide station spacing, has been able to define the essential first-order seismological characteristics of the Southern Appalachian seismic zone. The focal depths of the southeastern U.S. earthquakes concentrate between 8 and 16 km, occurring principally beneath the Appalachian overthrust. In cross-sectional views, the average seismicity is shallower to the east beneath the Blue Ridge and Piedmont provinces and deeper to the west beneath the Valley and Ridge and the North American craton. Results of recent focal mechanism studies by using the CERI digital earthquake catalog between October, 1986 and December, 1991, indicate that the basement of the Valley and Ridge province is under a horizontal, NE-SW compressive stress. Right-lateral strike-slip faulting on nearly north-south fault planes is preferred because it agrees with the trend of the regional magnetic anomaly pattern.

  7. CEE-03-310 CeNeS pharmaceuticals.

    PubMed

    Eder, Derek N

    2002-02-01

    CEE-03-310 is a selective dopamine D1-like receptor antagonist with no appreciable binding affinity for other receptors. Although originally developed by Novo Nordisk A/S as NNC-687 for the treatment of schizophrenia, the company changed its therapeutic focus in the mid-1990s and the full rights to CEE-03-310 and several related compounds were subsequently granted to CeNeS Pharmaceuticals in 1999. CeNeS is currently investigating the drug's potential in the treatment of insomnia and alcohol dependency [340965], [382293], [401496],[416026]. A phase II, double-blind, placebo-controlled trial of CEE-03-310 demonstrated a dose-dependent enhancement of NREM sleep at the beginning of the night without any effects on the quantity of REM sleep [410739].

  8. REGIONAL GROUND-WATER-QUALITY NETWORK DESIGN.

    USGS Publications Warehouse

    Templin, William E.; ,

    1985-01-01

    This paper describes the approach used in designing a regional network to monitor the complex ground-water-quality conditions in the San Joaquin Valley, California. The actual network approximates the ideal network with the constraint of primarily using wells that are already being monitored by someone for some purpose. Further inventories of monitoring networks and installation of some specialized monitoring wells will be needed. Use of statistical network analysis techniques is also needed to make network improvements. Following these actions, the actual network will more closely approximate the ideal network in providing information on ground-water-quality trends, contaminant sources, prevention of future sources of contamination, monitoring well distributions, sampling frequencies, and constituents to be monitored.

  9. Management of osteoporosis in central and eastern Europe (CEE): conclusions of the "2nd Summit on Osteoporosis-CEE", 21-22 November 2008, Warsaw, Poland.

    PubMed

    Lorenc, Roman S; Resch, Heinrich

    2009-12-01

    In November 2008, the "2nd Summit on Osteoporosis-Central and Eastern Europe (CEE)" was held in Warsaw, Poland. Discussions at this meeting focused on the identification and discussion of diagnostic, preventive, and therapeutic measures used in CEE. Evaluated information was used to identify issues regarding diagnosis and therapy of osteoporosis in these countries to facilitate the subsequent setup of appropriate support and development strategies. The main debate was structured according to the following five subjects: (1) present status and future perspectives for implementation of FRAX(R) into local (CEE) diagnostic algorithms, (2) principles of drug selection in osteoporosis treatment in CEE countries, (3) nonpharmacological interventions in osteoporosis treatment and prophylaxis in CEE countries, (4) treatment benefit evaluation, and (5) cost-effectiveness and evaluation of reimbursement policies in CEE countries. The most important and substantial comments of the delegates are summarized in the present article. The multinational panel of experts with representatives from many CEE countries as well as Austria and Switzerland made the "2nd Summit on Osteoporosis-CEE" a perfect platform to identify issues and needs regarding diagnosis and therapy of osteoporosis as well as the cost-effectiveness of osteoporosis management in CEE countries. The information gained will serve as a basis for the development of strategies to resolve the identified issues at the "3rd Summit on Osteoporosis-CEE" in November 2009.

  10. On Being Unreasonable: NCTE, CEE, and Political Action

    ERIC Educational Resources Information Center

    Burns, Leslie David

    2007-01-01

    This article analyzes CEE's and NCTE's current positions related to political action and highlights the increasing need for public intellectual and political activism as an integral part of organizational policy. Using Lakoff's (2005) concept of cognitive/linguistic framing in political discourse along with Kuchapski's (2002) characterizations of…

  11. The pillars of health management education: lessons from the CEE experience.

    PubMed

    Aaronson, W E; West, D J; Heshmat, S; Ramirez, B

    1998-01-01

    AUPHA faculty members have had the opportunity to provide health care executive training and to work in partnership with academic institutions in Central and Eastern Europe and in the New Independent States of the former Soviet Union. This article presents some observations on health management education that demonstrate the similarity in issues faced by programs in the U.S. and in CEE. The health management educational partnership program was designed to provide technical assistance to emerging health management programs in the CEE. The partnership program has been mutually beneficial for several reasons. The role of physicians in leadership and the management educational needs that result provide one example of an issue that health management educational programs must address. The emergence of the roles of other health professions and growing contribution that they will make has its parallel in the American ascendance of the role of interdisciplinary team in clinical decision making. The partnership and executive training experiences have caused U.S. partners to focus consciously on pedagogical methods. The nature of the issues faced by emerging CEE health management programs suggests that mutual support among programs in the region after the partnership program is necessary in order to provide a forum for debate. The focus of the debate should continue to be on the role of management in health reform, content of curriculum, research focus and pedagogical methods appropriate for health care management undergraduate and graduate programs. The result will be a strengthening of the health management academic discipline in the region. The future of the AUPHA should predicated on the same principles, the roots from which it has grown.

  12. Complex Network for Solar Active Regions

    NASA Astrophysics Data System (ADS)

    Daei, Farhad; Safari, Hossein; Dadashi, Neda

    2017-08-01

    In this paper we developed a complex network of solar active regions (ARs) to study various local and global properties of the network. The values of the Hurst exponent (0.8-0.9) were evaluated by both the detrended fluctuation analysis and the rescaled range analysis applied on the time series of the AR numbers. The findings suggest that ARs can be considered as a system of self-organized criticality (SOC). We constructed a growing network based on locations, occurrence times, and the lifetimes of 4227 ARs recorded from 1999 January 1 to 2017 April 14. The behavior of the clustering coefficient shows that the AR network is not a random network. The logarithmic behavior of the length scale has the characteristics of a so-called small-world network. It is found that the probability distribution of the node degrees for undirected networks follows the power law with exponents of about 3.7-4.2. This indicates the scale-free nature of the AR network. The scale-free and small-world properties of the AR network confirm that the system of ARs forms a system of SOC. Our results show that the occurrence probability of flares (classified by GOES class C> 5, M, and X flares) in the position of the AR network hubs takes values greater than that obtained for other nodes.

  13. Coactivation of the Default Mode Network regions and Working Memory Network regions during task preparation

    PubMed Central

    Koshino, Hideya; Minamoto, Takehiro; Yaoi, Ken; Osaka, Mariko; Osaka, Naoyuki

    2014-01-01

    The Default Mode Network (DMN) regions exhibit deactivation during a wide variety of resource demanding tasks. However, recent brain imaging studies reported that they also show activation during various cognitive activities. In addition, studies have found a negative correlation between the DMN and the working memory network (WMN). Here, we investigated activity in the DMN and WMN regions during preparation and execution phases of a verbal working memory task. Results showed that the core DMN regions, including the medial prefrontal cortex and posterior cingulate cortex, and WMN regions were activated during preparation. During execution, however, the WMN regions were activated but the DMN regions were deactivated. The results suggest that activation of these network regions is affected by allocation of attentional resources to the task relevant regions due to task demands. This study extends our previous results by showing that the core DMN regions exhibit activation during task preparation and deactivation during task execution. PMID:25092432

  14. Coactivation of the Default Mode Network regions and Working Memory Network regions during task preparation.

    PubMed

    Koshino, Hideya; Minamoto, Takehiro; Yaoi, Ken; Osaka, Mariko; Osaka, Naoyuki

    2014-08-05

    The Default Mode Network (DMN) regions exhibit deactivation during a wide variety of resource demanding tasks. However, recent brain imaging studies reported that they also show activation during various cognitive activities. In addition, studies have found a negative correlation between the DMN and the working memory network (WMN). Here, we investigated activity in the DMN and WMN regions during preparation and execution phases of a verbal working memory task. Results showed that the core DMN regions, including the medial prefrontal cortex and posterior cingulate cortex, and WMN regions were activated during preparation. During execution, however, the WMN regions were activated but the DMN regions were deactivated. The results suggest that activation of these network regions is affected by allocation of attentional resources to the task relevant regions due to task demands. This study extends our previous results by showing that the core DMN regions exhibit activation during task preparation and deactivation during task execution.

  15. Oscillatory phenomena in a solar network region

    NASA Astrophysics Data System (ADS)

    Tsiropoula, Georgia; Tziotziou, Kostas; Schwartz, Pavol; Heinzel, Petr

    2009-03-01

    We examine oscillatory phenomena in a solar network region from multi-wavelength, observations obtained by the ground-based Dutch Open Telescope (DOT), and by instruments on the spacecraft Solar and Heliospheric Observatory (SoHO). The observations were obtained during a coordinated observing campaign on October 14, 2005. The temporal variations of the intensities and velocities in two distinct regions of the quiet Sun were investigated: 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 propagation characteristics of waves.

  16. Regional seismic test network site descriptions

    NASA Astrophysics Data System (ADS)

    Taylor, S. R.; Qualheim, B. J.

    1983-03-01

    The five regional seismic test network sites (RSTN) are described. The sites are characterized for their geological and geophysical setting. The geology section includes a description of the regional geology and an account of the geology in the immediate station vicinity. Stratigraphic columns and geophysical well logs of the seismometer hole are presented. The geophysics section for each site is divided into velocity structure and Q, regional seismicity and tectonics, and noise characteristics. Information is derived from a literature review. Data are analyzed from seismic stations at or near the sites and from preliminary analysis of actual RSTN data.

  17. Regional Seismic Test Network site descriptions

    SciTech Connect

    Taylor, S.R.; Qualheim, B.J.

    1983-03-17

    Each of the five Regional Seismic Test Network sites (RSTN) are characterized in terms of their geological and geophysical setting. The geology section includes a description of the regional geology and a detailed account of the geology in the immediate station vicinity. Stratigraphic columns and geophysical well-logs of the seismometer hole are also presented when available. The geophysics section for each site is divided into velocity structure and Q, regional seismicity and tectonics, and noise characteristics. Much of the information is derived from a literature review. However, when available, data have been analyzed from seismic stations at or near the sites and from preliminary analysis of actual RSTN data.

  18. Topical Application of Liposomal Antioxidants for Protection Against CEES Induced Skin Damage

    DTIC Science & Technology

    2008-06-01

    W81XWH-05-2-0034 TITLE: Topical Application of Liposomal Antioxidants for Protection Against CEES Induced Skin Damage PRINCIPAL...Topical Application of Liposomal Antioxidants for Protection Against CEES Induced Skin Damage 5b. GRANT NUMBER W81XWH-05-2-0034 5c. PROGRAM...effective prophylactic therapy against skin damage caused by an analog of mustard gas, 2-chloroethylethyl sulfide (CEES) using in vitro model systems

  19. Topical Application of Liposomal Antioxidants for Protection Against CEES Induced Skin Damage

    DTIC Science & Technology

    2007-07-01

    keratinocytes. Task 2: Similar to HD, CEES induces oxidative stress in the skin cells resulting in ROS generation, DNA damaging, protein and lipid oxidation...W81XWH-05-2-0034 TITLE: Topical Application of Liposomal Antioxidants for Protection Against CEES Induced Skin Damage PRINCIPAL...NUMBER Topical Application of Liposomal Antioxidants for Protection Against CEES Induced Skin Damage 5b. GRANT NUMBER W81XWH-05-2-0034 5c. PROGRAM

  20. Creating a Regional Healthcare Network: People First.

    PubMed

    Michel-Verkerke, Margreet B

    2016-01-01

    Care organizations in the Dutch region Apeldoorn want to collaborate more in order to improve the care provision to elderly and psychiatric patients living independently. In order to support the collaboration they intend to create a regional digital healthcare network. The research was focused on the relevance of a regional healthcare network for care providers. Eleven semi-structured interviews based on the USE IT-model, were conducted with care providers and staff members. Results show that care providers need to tune their activities for this target group and create an agreement on integrated care. The relevance of a digital communication and collaboration platform is high. The regional healthcare network should support the collaboration between care providers by: 1. Offering a communication platform to replace the time consuming communication by telephone; 2. Making patient information available for patient and care provider at patients' homes; 3. Giving insight in who is giving what care to whom; and 4. Giving access to knowledge about the target group: elderly and psychiatric patients living independently.

  1. Oscillatory Phenomena in a Solar Network Region

    NASA Astrophysics Data System (ADS)

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

    2008-09-01

    Multi-wavelength, multi-instrument observations, obtained during a coordinated observing campaign on October 2005 by the ground-based Dutch Open Telescope (DOT), and by instruments on the spacecraft Solar and Heliospheric Observatory (SoHO) and Transition Region and Coronal Explorer (TRACE), are used to study oscillatory phenomena in a solar network region. Temporal variations of the intensities and velocities in a region of the quiet Sun containing several dark mottles and in a region with several bright points defining the network boundaries (NB) are investigated with the aim of finding 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 propagation characteristics of waves. A wavelet, phase difference and coherence analyses were performed indicating a periodicity around 5 min in all considered lines for both regions. V-V phase differences in the NB region point to an upward propagation of, most probably, acoustic waves, while in the region of mottles they indicate a non vertical propagation of waves, due to the presence of several inclined mottles along the line-of-sight. In mottles, for periods of 250-400 s the phase difference is mainly negative suggesting that propagating waves encounter a boundary and are refracted and reflected. However, limitations arising from the complex topology of the magnetic field, the formation conditions and heights of the examined spectral lines and the low spatial resolution of the space instruments influence the exact interpretation of the phase differences.

  2. UNAVCO-PBO Southwest Region Network Operations

    NASA Astrophysics Data System (ADS)

    Walls, C. P.; Mann, D.; Basset, A.; Sklar, J.; Jarvis, C.; Pitcher, T.; Lawrence, S.; Greathouse, M.; Feaux, K.

    2012-12-01

    The UNAVCO Southwest region of the Plate Boundary Observatory manages 470 continuously operating GPS stations located principally along the transform system of the San Andreas Fault, Eastern California Shear Zone and the northern Baja peninsula. In the past year, network uptime averaged 98% with greater than 99% data acquisition. Communications range from CDMA modem (314), radio (100), Vsat (30), DSL/T1/other (25) to manual download (1). Thirty-four stations have WXT520 metpacks. Sixty-four stations stream 1 Hz data over the VRS3Net typically with <0.5 second latency. Over 650 maintenance activities were performed during 341 onsite visits out of approximately 346 engineer field days. Within the past year there have been 7 incidences of minor (attempted theft) to moderate vandalism (solar panel stolen) with one total loss of receiver and communications gear. Security was enhanced at these sites through fencing and more secure station configurations. UNAVCO is working with NOAA to stream real-time GPS and met data from PBO stations with WXT520 meteorological sensors and high rate data communications. These streams support watershed and flood analyses for regional early-warning systems related to NOAA's work with California Department of Water Resources. Network-wide NOAA receives a total of 54 streams including stations in Cascadia. In 2008 PBO became the steward of 209 existing network stations ("Nucleus stations") of which 140 are in the SW region that included SCIGN, BARD, BARGEN stations. Due to the mix of incompatible equipment used between PBO and existing network stations a project was undertaken to standardize existing network GPS stations to PBO specifications by upgrading antenna cabling, power systems and enclosures. In 2012 the Nucleus upgrade project was completed.

  3. Creating Resource Agents for Collaborative Engineering Environment (CEE) Research Using the Common Object Request Broker Architecture (CORBA) Framework

    DTIC Science & Technology

    2007-11-02

    Clients, Servers, and ORBs to the CEE environment and/or an html based browser like Netscape or Explorer. 10. APPENDIX 10.1. This is the...server can share the same hard drive, or they can be networked i.e. through the World Wide Web . 5 1.6. The objective of this project is to...the ORBacus14 CORBA software, the files for the target platform must be downloaded. These files can be found at the ORBacus web page: http

  4. Acute Environmental Toxicity and Persistence of a Chemical Agent Simulant: 2-Chloroethyl Ethyl Sulfide (CEES)

    DTIC Science & Technology

    1988-11-01

    3 6 3.2.1 Vegetative Surfaces .................................... 37 3.2.2 Soil Surfaces...terrestrial and aquatic organisms based on contact toxicity and the chemical persistence of the simulant In soils and waters and on vegetative surfaces...processes. The volatility of CEES prevented any meaningful acquisition of particle size distributions. 14 2.2 EXPSRE P Four CEES exposure tests were

  5. Energy Use and Related Risk Management Problems in CEE Countries

    NASA Astrophysics Data System (ADS)

    Ney, R.; Michna, J.; Ekmanis, J.; Zeltins, N.; Zebergs, V.

    2008-03-01

    Nowadays, the efficiency of energy use in the Central and East-European (CEE) countries is insufficient, being much lower than in the "Old Europe". The problem becomes increasingly pressing due to non-stop increasing prices of energy carriers (especially of crude oil). The authors trace the development of research activities in this sphere, classifying the revealed changes in parameters of energy consumption processes in particular time intervals into deterministic, probabilistic, and fuzzy. The paper presents a thorough analysis of decision-making in the energy management at its different levels - normative, strategic, and operative. Particular attention is given to the management under uncertainty conditions - i.e. to the risk management. The most wanted research directions in this area proposed by the energy and environment policy (EEP) Center specially created for CEE countries concern management under risk connected with innovations, international activities, loss of reputation, etc. The authors consider in detail the risk management with insufficient knowledge (non-knowledge) and under chaos. Much consideration is given to the scenario management and the game theory principles as related to the sphere of energy use.

  6. Access to biologic treatment for rheumatoid arthritis in Central and Eastern European (CEE) countries

    PubMed Central

    Orlewska, Ewa; Ancuta, Ioan; Anic, Branimir; Codrenau, Catalin; Damjanov, Nemanja; Djukic, Predrag; Ionescu, Ruxandra; Marinchev, Lubomir; Nasonov, Evgeny L.; Peets, Tonu; Praprotnik, Sonja; Rashkov, Rasho; Skoupa, Jana; Tlustochowicz, Witold; Tlustochowicz, Malgorzata; Tomsic, Matija; Veldi, Tiina; Vojinovic, Jelena; Wiland, Piotr

    2011-01-01

    Summary Background The aim of this study was to assess and compare patients’ access to biologic anti-RA drugs in selected Central and Eastern European (CEE) countries and to analyze the determinants of differences between countries. Material/Methods This is a multi-country survey study, based on a combination of desk research and direct contact with national RA stakeholders. Data was collected using a pre-defined questionnaire. Affordability was measured using an affordability index, calculated comparing the index of health care expenditures to the price index, using Poland as an index of 1. Results The percentage of patients on biologic treatment in 2009 was highest in Hungary (5% RA patients on biologic treatment), followed by Slovenia (4.5%), Slovakia (3.5%), Czech Republic (2.92%), Romania (2.2%), Estonia (1.8%), and Croatia, Serbia, Poland (below 1.5%). Infliximab, etanercept, adalimumab and rituximab were included in the reimbursement system in all countries, but abatacept and tocilizumab were included only in Slovakia. In Slovenia, public payer covered 75% of the price, and 25% is covered by supplementary health insurance; in Bulgaria public payer covered 50% of etanercept and adalimumab costs, and 75% of rituximab cost. In other countries, biologic drugs are reimbursed at 100%. Affordability index for biologic drugs was the lowest in Slovenia (0.4). In each country national guidelines define which patients are eligible for biologic treatment. Disease Activity Score (DAS28) of over 5.1 and failure of 2 or more disease-modifying anti-RA drugs, including methotrexate, are commonly used criteria. Conclusions The most important factors limiting access to biologic anti-RA treatment in the CEE region are macroeconomic conditions and restrictive treatment guidelines. PMID:21455121

  7. Climate variability and associated vegetation response throughout Central and Eastern Europe (CEE) between 60 and 8 ka

    NASA Astrophysics Data System (ADS)

    Feurdean, A.; Perşoiu, A.; Tanţău, I.; Stevens, T.; Magyari, E. K.; Onac, B. P.; Marković, S.; Andrič, M.; Connor, S.; Fărcaş, S.; Gałka, M.; Gaudeny, T.; Hoek, W.; Kolaczek, P.; Kuneš, P.; Lamentowicz, M.; Marinova, E.; Michczyńska, D. J.; Perşoiu, I.; Płóciennik, M.; Słowiński, M.; Stancikaite, M.; Sumegi, P.; Svensson, A.; Tămaş, T.; Timar, A.; Tonkov, S.; Toth, M.; Veski, S.; Willis, K. J.; Zernitskaya, V.

    2014-12-01

    Records of past climate variability and associated vegetation response exist in various regions throughout Central and Eastern Europe (CEE). To date, there has been no coherent synthesis of the existing palaeo-records. During an INTIMATE meeting (Cluj Napoca, Romania) focused on identifying CEE paleo-records, it was decided to address this gap by presenting the palaeo-community with a compilation of high-quality climatic and vegetation records for the past 60-8 ka. The compilation should also serve as a reference point for the use in the modelling community working towards the INTIMATE project goals, and in data-model inter-comparison studies. This paper is therefore a compilation of up to date, best available quantitative and semi-quantitative records of past climate and biotic response from CEE covering this period. It first presents the proxy and archive used. Speleothems and loess mainly provide the evidences available for the 60-20 ka interval, whereas pollen records provide the main source of information for the Lateglacial and Holocene. It then examines the temporal and spatial patterns of climate variability inferred from different proxies, the temporal and spatial magnitude of the vegetation responses inferred from pollen records and highlights differences and similarities between proxies and sub-regions and the possible mechanisms behind this variability. Finally, it identifies weakness in the proxies and archives and their geographical distribution. This exercise also provides an opportunity to reflect on the status of research in the area and to identify future critical areas and subjects of research.

  8. 76 FR 46295 - The Regional Sports Network Marketplace

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-08-02

    ... COMMISSION The Regional Sports Network Marketplace AGENCY: Federal Communications Commission. ACTION: Notice... regarding regional sports network (RSN) access and carriage issues and committed to examine these matters... sports network (RSN) access and carriage to prepare a report as provided in the Adelphia Order, released...

  9. The Roles of Jets: CF, CCSN, PN, CEE, GEE, ILOT

    NASA Astrophysics Data System (ADS)

    Soker, N.

    2015-12-01

    I review the roles of jet-inflated bubbles in determining the evolution of different astrophysical objects. I discuss astrophysical systems where jets are known to inflate bubbles (cooling flow [CF] clusters; young galaxies; intermediate luminosity optical transients [ILOTs]; bipolar planetary nebulae [PNe]), and systems that are speculated to have jet-inflated bubbles (core collapse supernovae [CCSNe]; common envelope evolution [CEE]; grazing envelope evolution [GEE]). The jets in many of these cases act through a negative jet feedback mechanism (JFM). I discuss the outcomes when the JFM fizzle, or does not work at all. According to this perspective, some very interesting and energetic events owe their existence to the failure of the JFM, including stellar black holes, gamma ray bursts, and type Ia supernovae.

  10. Regional Educational Laboratory Electronic Network Phase 2 System

    NASA Technical Reports Server (NTRS)

    Cradler, John

    1995-01-01

    The Far West Laboratory in collaboration with the other regional educational laboratories is establishing a regionally coordinated telecommunication network to electronically interconnect each of the ten regional laboratories with educators and education stakeholders from the school to the state level. For the national distributed information database, each lab is working with mid-level networks to establish a common interface for networking throughout the country and include topics of importance to education reform as assessment and technology planning.

  11. Regional Educational Laboratory Electronic Network Phase 2 System

    NASA Technical Reports Server (NTRS)

    Cradler, John

    1995-01-01

    The Far West Laboratory in collaboration with the other regional educational laboratories is establishing a regionally coordinated telecommunication network to electronically interconnect each of the ten regional laboratories with educators and education stakeholders from the school to the state level. For the national distributed information database, each lab is working with mid-level networks to establish a common interface for networking throughout the country and include topics of importance to education reform as assessment and technology planning.

  12. Farm broadcasters call for regional network.

    PubMed

    1989-03-01

    The United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) laid the groundwork for a 5 day symposium on farm broadcasting in Bangkok in November 1988. ESCAP Executive Secretary S.A.M.S. Kibria discussed in his statement the idea of a regional rural broadcasting network for Asia and the Pacific. Several other pertinent points stated the following: Government funding was needed to support rural broadcasting; special funding and attention needs to be devoted to disadvantaged groups and marginal farmers; broadcasting should play a more significant role in South Pacific islands where it would not educate but also bring the people together. It was suggested that a proposed training manual for basic radio operation be printed in the local languages. Since 1980, there have 14 seminar-training programs held throughout Asia and the Pacific. Workshops open dialogue on ways to coordinate government support and rural interests in radio programming. As well, rural broadcasters learn how to sharpen their skills and keep audiences interested. Correctly implemented and adequately funded, agricultural broadcast programs could improve the lives of millions in the Pacific and Asia.

  13. 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

  14. 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.

  15. Water Regions Extraction From Radar Imagery Using a Neural Network

    DTIC Science & Technology

    1992-12-16

    An artificial neural network concept is explored and developed for detecting and extracting water regions from radar imagery. A backpropagation... neural network consisting of three layers of processing elements (PEs) is selected for this application. The input layer is composed of nine PEs that are

  16. Performance of a Regional Aeronautical Telecommunications Network

    NASA Technical Reports Server (NTRS)

    Bretmersky, Steven C.; Ripamonti, Claudio; Konangi, Vijay K.; Kerczewski, Robert J.

    2001-01-01

    This paper reports the findings of the simulation of the ATN (Aeronautical Telecommunications Network) for three typical average-sized U.S. airports and their associated air traffic patterns. The models of the protocols were designed to achieve the same functionality and meet the ATN specifications. The focus of this project is on the subnetwork and routing aspects of the simulation. To maintain continuous communication between the aircrafts and the ground facilities, a model based on mobile IP is used. The results indicate that continuous communication is indeed possible. The network can support two applications of significance in the immediate future FTP and HTTP traffic. Results from this simulation prove the feasibility of development of the ATN concept for AC/ATM (Advanced Communications for Air Traffic Management).

  17. Regional Use of Social Networking Tools

    DTIC Science & Technology

    2014-12-01

    Background Social networking tools represent an amalgamation of “ social networks” and “interactive mass media ” [Acar 2014, p. 3]. These sites... media extends far beyond its users; it has played a major role in business, geo-politics, and social movements such as the Arab Spring. Looking at...seekers,” and individ- uals who signal extrovert behavior, a need for “belongingness,” and “collective self - esteem ” [Acar 2014, p. 31]. While SNSs all

  18. Identifying Infection Sources and Regions in Large Networks

    NASA Astrophysics Data System (ADS)

    Luo, Wuqiong; Tay, Wee Peng; Leng, Mei

    2013-06-01

    Identifying the infection sources in a network, including the index cases that introduce a contagious disease into a population network, the servers that inject a computer virus into a computer network, or the individuals who started a rumor in a social network, plays a critical role in limiting the damage caused by the infection through timely quarantine of the sources. We consider the problem of estimating the infection sources and the infection regions (subsets of nodes infected by each source) in a network, based only on knowledge of which nodes are infected and their connections, and when the number of sources is unknown a priori. We derive estimators for the infection sources and their infection regions based on approximations of the infection sequences count. We prove that if there are at most two infection sources in a geometric tree, our estimator identifies the true source or sources with probability going to one as the number of infected nodes increases. When there are more than two infection sources, and when the maximum possible number of infection sources is known, we propose an algorithm with quadratic complexity to estimate the actual number and identities of the infection sources. Simulations on various kinds of networks, including tree networks, small-world networks and real world power grid networks, and tests on two real data sets are provided to verify the performance of our estimators.

  19. CEE interfacing for Khoros: visual interactive programming for enterprise research (VIPER)

    NASA Astrophysics Data System (ADS)

    Farrar, Kevin J.; Hwang, Jong S.

    2000-06-01

    Collaborative engineering and development are paramount to supporting new warfighter-driven programs like Simulation Based Acquisition and Simulation Based Design. The Collaborative Enterprise Environment (CEE), under development by AFRL, enhances Directorate research and development, exploration, evaluation, planning and transition of technologies by enabling collaboration and technology integration. A number of algorithms and models have been implemented under a variety of DoD programs using Khoros, a powerful software development and visual programming environment that facilitates the integration of legacy code as well as the development of new solutions. This paper discusses how Khoros is being extended to operate within the CEE, seamlessly supporting collaborative development and component reuse.

  20. Prototype autonomous earthquake locator for regional networks

    NASA Astrophysics Data System (ADS)

    Pinsky, V.

    2000-11-01

    A fully autonomous source location algorithm, which identifies the local earthquake P and S phases by finding the network seismogram envelope maxima Pmax and Smax, is designed. These picks are approximated to theoretical travel times of the wavefield intensity by varying epicenter and origin time, thus providing initial estimates for source coordinates, origin time and phase onsets. Then the onsets are improved by detection of the time-series discrepancy points with the subsequent fitting to the theoretical first arrival times for the final source location. Fitting is performed using a grid-search robust optimization procedure based on the bell-like factor functions. Application of the algorithm to 61 local earthquakes recorded by the Israel Seismic Network shows location accuracy of 3 km for epicenter and ±7 km for depth. For the four blasts from a quarry near the Dead Sea with known coordinates and ignition time the automatic locator provided accuracy of 0.3-1.7 km and even outperformed the analyst solutions.

  1. Tracking Inter-Regional Carbon Flows: A Hybrid Network Model.

    PubMed

    Chen, Shaoqing; Chen, Bin

    2016-05-03

    The mitigation of anthropogenic carbon emissions has moved beyond the local scale because they diffuse across boundaries, and the consumption that triggers emissions has become regional and global. A precondition of effective mitigation is to explicitly assess inter-regional transfer of emissions. This study presents a hybrid network model to track inter-regional carbon flows by combining network analysis and input-output analysis. The direct, embodied, and controlled emissions associated with regions are quantified for assessing various types of carbon flow. The network-oriented metrics called "controlled emissions" is proposed to cover the amount of carbon emissions that can be mitigated within a region by adjusting its consumption. The case study of the Jing-Jin-Ji Area suggests that CO2 emissions embodied in products are only partially controlled by a region from a network perspective. Controlled carbon accounted for about 70% of the total embodied carbon flows, while household consumption only controlled about 25% of Beijing's emissions, much lower than its proportion of total embodied carbon. In addition to quantifying emissions, the model can pinpoint the dominant processes and sectors of emissions transfer across regions. This technique is promising for searching efficient pathways of coordinated emissions control across various regions connected by trade.

  2. Describing functional diversity of brain regions and brain networks.

    PubMed

    Anderson, Michael L; Kinnison, Josh; Pessoa, Luiz

    2013-06-01

    Despite the general acceptance that functional specialization plays an important role in brain function, there is little consensus about its extent in the brain. We sought to advance the understanding of this question by employing a data-driven approach that capitalizes on the existence of large databases of neuroimaging data. We quantified the diversity of activation in brain regions as a way to characterize the degree of functional specialization. To do so, brain activations were classified in terms of task domains, such as vision, attention, and language, which determined a region's functional fingerprint. We found that the degree of diversity varied considerably across the brain. We also quantified novel properties of regions and of networks that inform our understanding of several task-positive and task-negative networks described in the literature, including defining functional fingerprints for entire networks and measuring their functional assortativity, namely the degree to which they are composed of regions with similar functional fingerprints. Our results demonstrate that some brain networks exhibit strong assortativity, whereas other networks consist of relatively heterogeneous parts. In sum, rather than characterizing the contributions of individual brain regions using task-based functional attributions, we instead quantified their dispositional tendencies, and related those to each region's affiliative properties in both task-positive and task-negative contexts. Copyright © 2013 Elsevier Inc. All rights reserved.

  3. Variation in the Width of Transition Region Network Boundaries

    NASA Astrophysics Data System (ADS)

    Raju, K. P.

    2016-12-01

    The transition region network seen in solar extreme ultraviolet (EUV) lines is the extension of the chromospheric network. The network appears as an irregular web-like pattern over the solar surface outside active regions. The average width of transition region network boundaries is obtained from the two-dimensional autocorrelation function of SOlar and Heliospheric Observatory (SOHO)/ Coronal Diagnostic Spectrometer (CDS) synoptic images of the Sun in two emission lines, He i 586 Å and O v 630 Å during 1996 - 2012. The width of the network boundaries is found to be roughly correlated with the solar cycle variation with a lag of about ten months. A comparison of the widths in the two emission lines shows that they are larger for the He i line. The SOHO/CDS data also show large asymmetry in boundary widths in the horizontal (x) and vertical (y) image directions, which is shown to be caused by image distortions that are due to instrumental effects. Since the network boundary widths are related to the magnetic flux concentration along the boundaries, the results are expected to have implications on the flux transport on the solar surface, solar cycle, and the mass and energy budget of network loops and jets.

  4. [Role of university hospitals in regional infection control network].

    PubMed

    Kayaba, Hiroyuki; Saito, Norihiro; Yamamoto, Ayako; Tsutaya, Shoji; Akimoto, Hiroyuki; Kimura, Masahiko; Inoue, Fumio; Kondo, Jun; Akahira, Emi; Tachibana, Naoki; Okamura, Yuji; Takahashi, Shiori; Kojima, Keiya; Tamazawa, Naoki; Hayakari, Makoto

    2013-08-01

    Activities and the understanding of infection control in healthcare facilities have improved in the past decade since a certification system for medical personnel, such as infection control nurse and infection control doctor, were introduced in Japan. These specialists are distributed among tertiary general hospitals, while many small and mid-scale hospitals have no infection control specialists. In 2012, the Japanese Ministry of Health, Labour and Welfare launched a new strategy for further improvement of infection control by supporting a regional network of infection control activities. Through the infection control network, small or mid-scaled hospitals can utilize infection control specialists in tertiary general hospitals, enter educational programs on infection control and consult in cases of nosocomial infection outbreaks. As part of the regional infection control network, we established an information network system, named ReNICS, to share the bacteriological test results of the hospitals in Akita prefecture. ReNICS offers epidemiological data on bacteria identified in the region. We can identify the spread of multi-drug resistant bacteria and can roughly estimate the quality of infection control activities in each facility. As a similar information network is being prepared in Hirosaki University Hospital Infection Control Center in Aomori, a prefecture neighboring Akita, we discussed the roles of university hospitals for a regional infection control network.

  5. Broadband seismology and small regional seismic networks

    USGS Publications Warehouse

    Herrmann, Robert B.

    1995-01-01

    In the winter of 1811-12, three of the largest historic earthquakes in the United States occurred near New Madrid, Missouri. Seismicity continues to the present day throughout a tightly clustered pattern of epicenters centered on the bootheel of Missouri, including parts of northeastern Arkansas, northwestern Tennessee, western Kentucky, and southern Illinois. In 1990, the New Madrid seismic zone/Central United States became the first seismically active region east of the Rocky Mountains to be designated a priority research area within the National Earthquake Hazards Reduction Program (NEHRP). This Professional Paper is a collection of papers, some published separately, presenting results of the newly intensified research program in this area. Major components of this research program include tectonic framework studies, seismicity and deformation monitoring and modeling, improved seismic hazard and risk assessments, and cooperative hazard mitigation studies.

  6. Child Rights and Quality Education: Child-Friendly Schools in Central and Eastern Europe (CEE)

    ERIC Educational Resources Information Center

    Clair, Nancy; Miske, Shirley; Patel, Deepa

    2012-01-01

    Since the breakup of the Soviet Union and former Yugoslavia, Central and Eastern European (CEE) countries have engaged in education reforms based on international frameworks. One of these, the Child-Friendly Schools (CFS) approach, is distinctively grounded in the Convention on the Rights of the Child (CRC). CFS standards are comprehensive,…

  7. The CEE Sustainable Development Programme: A Two-Week Course for College Students

    ERIC Educational Resources Information Center

    Journal of Education for Sustainable Development, 2009

    2009-01-01

    This article features the Centre for Environment Education (CEE) Sustainable Development Programme, a two-week course designed for university students from a wide variety of disciplines, with an interest in sustainability and cross-cultural studies. The two-week programme provides cross-disciplinary understanding and practical experience of…

  8. Child Rights and Quality Education: Child-Friendly Schools in Central and Eastern Europe (CEE)

    ERIC Educational Resources Information Center

    Clair, Nancy; Miske, Shirley; Patel, Deepa

    2012-01-01

    Since the breakup of the Soviet Union and former Yugoslavia, Central and Eastern European (CEE) countries have engaged in education reforms based on international frameworks. One of these, the Child-Friendly Schools (CFS) approach, is distinctively grounded in the Convention on the Rights of the Child (CRC). CFS standards are comprehensive,…

  9. The CEE Sustainable Development Programme: A Two-Week Course for College Students

    ERIC Educational Resources Information Center

    Journal of Education for Sustainable Development, 2009

    2009-01-01

    This article features the Centre for Environment Education (CEE) Sustainable Development Programme, a two-week course designed for university students from a wide variety of disciplines, with an interest in sustainability and cross-cultural studies. The two-week programme provides cross-disciplinary understanding and practical experience of…

  10. Reconstructing English Education for the 21st Century: A Report on the CEE Summit

    ERIC Educational Resources Information Center

    Miller, Suzanne M.; Fox, Dana L.

    2006-01-01

    The coeditors of the special Summit issue of English Education provide the context for the "crucial moment" that prompted the Conference on English Education (CEE) to take up the task of rethinking issues related to the preparation and continuing professional development of English language arts teachers and teacher educators. The process of…

  11. Reconstructing English Education for the 21st Century: A Report on the CEE Summit

    ERIC Educational Resources Information Center

    Miller, Suzanne M.; Fox, Dana L.

    2006-01-01

    The coeditors of the special Summit issue of English Education provide the context for the "crucial moment" that prompted the Conference on English Education (CEE) to take up the task of rethinking issues related to the preparation and continuing professional development of English language arts teachers and teacher educators. The process of…

  12. Design of surface-water data networks for regional information

    USGS Publications Warehouse

    Moss, Marshall E.; Gilroy, E.J.; Tasker, Gary D.; Karlinger, M.R.

    1982-01-01

    This report describes a technique, Network Analysis of Regional Information (NARI), and the existing computer procedures that have been developed for the specification of the regional information-cost relation for several statistical parameters of streamflow. The measure of information used is the true standard error of estimate of a regional logarithmic regression. The cost is a function of the number of stations at which hydrologic data are collected and the number of years for which the data are collected. The technique can be used to obtain either (1) a minimum cost network that will attain a prespecified accuracy and reliability or (2) a network that maximizes information given a set of budgetary and time constraints.

  13. Network representations of angular regions for electromagnetic scattering

    PubMed Central

    2017-01-01

    Network modeling in electromagnetics is an effective technique in treating scattering problems by canonical and complex structures. Geometries constituted of angular regions (wedges) together with planar layers can now be approached with the Generalized Wiener-Hopf Technique supported by network representation in spectral domain. Even if the network representations in spectral planes are of great importance by themselves, the aim of this paper is to present a theoretical base and a general procedure for the formulation of complex scattering problems using network representation for the Generalized Wiener Hopf Technique starting basically from the wave equation. In particular while the spectral network representations are relatively well known for planar layers, the network modelling for an angular region requires a new theory that will be developed in this paper. With this theory we complete the formulation of a network methodology whose effectiveness is demonstrated by the application to a complex scattering problem with practical solutions given in terms of GTD/UTD diffraction coefficients and total far fields for engineering applications. The methodology can be applied to other physics fields. PMID:28817573

  14. Evaluation of the RSTN (Regional Seismic Test Network) Network and Further Improvement to Automatic Association.

    DTIC Science & Technology

    1983-10-30

    received at CSS and partly recorded at SCARS. A description of RSTN station localities is contained in Taylor and Qualheim (1983). All RSTN stations...Laboratory, Alexandria, Va. Taylor, S. R. and B. J. Qualheim (1983). Regional Seismic Test Network Site Descriptions , Lawrence Livermore Laboratory...RD-A146 395 EVALUATION OF THE RSTN (REGIONAL SEISMIC TEST NETWORK) 1/ NET44ORK AND FURTHE (U) TELEDYNE GEOTECH ALEXANDRIA VA ALEXANDRIA LABS R R

  15. The Piemonte Regional Allergy Network: a model of healthcare organization.

    PubMed

    Galimberti, M; Cadario, G; Belliero, B; Maspoli, M; Di Pietrantonj, C; Demicheli, V

    2011-12-01

    The Allergology Hospital Network and Regional Register for Severe Allergic Reactions (Regional Observatory) is the Piemonte Health Authority new challenge. It satisfied the need to promote and monitor the best practice among a variegated pool of specialists and to define both state of the art and evolution of efficiency and efficacy of standard working process. Harmonization in clinical daily activities and report of severe allergic reactions notified to Regional Observatory, had been gained by mean of a customized Information Technology (IT) solution. The overall target is to ensure a correct diagnostic treatment to patients with severe allergic reactions preventing possible future reactions. Statistics data as a whole, provide basilar epidemiological information to allocate both economical and human resources and to fulfill the rising of health diseases. Piemonte Allergology Medical Network with the Regional Register are an Italian unique and innovative project. It would represent a benchmark for other medical branches.

  16. 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.

  17. Primary Health Care: care coordinator in regionalized networks?

    PubMed Central

    de Almeida, Patty Fidelis; dos Santos, Adriano Maia

    2016-01-01

    RESUMO OBJECTIVE To analyze the breadth of care coordination by Primary Health Care in three health regions. METHODS This is a quantitative and qualitative case study. Thirty-one semi-structured interviews with municipal, regional and state managers were carried out, besides a cross-sectional survey with the administration of questionnaires to physicians (74), nurses (127), and a representative sample of users (1,590) of Estratégia Saúde da Família (Family Health Strategy) in three municipal centers of health regions in the state of Bahia. RESULTS Primary Health Care as first contact of preference faced strong competition from hospital outpatient and emergency services outside the network. Issues related to access to and provision of specialized care were aggravated by dependence on the private sector in the regions, despite progress observed in institutionalizing flows starting out from Primary Health Care. The counter-referral system was deficient and interprofessional communication was scarce, especially concerning services provided by the contracted network. CONCLUSIONS Coordination capacity is affected both by the fragmentation of the regional network and intrinsic problems in Primary Health Care, which poorly supported in its essential attributes. Although the health regions have common problems, Primary Health Care remains a subject confined to municipal boundaries. PMID:28099663

  18. 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.

  19. Western regional visibility monitoring: teleradiometer and camera network

    SciTech Connect

    Not Available

    1984-06-01

    The 1977 Clean Air Act Amendment provides for protection of visual air quality of certain federally managed lands. In support of these provisions the U.S. Environmental Protection Agency, in cooperation with the National Park Service, has sponsored a number of visibility research programs. One program involves development and operation of a western regional visibility monitoring network. The objectives of this network are to develop visibility monitoring methods, to characterize visibility in this region, and to provide data that can be used to identify sources of visibility impairment. This report describes the western network and methods used to collect and process data, the results for the period of record and quality assurance procedures. A visibility theory section is provided to define terms and concepts. Seasonal and monthly mean standard visual range values with 90 percent confidence intervals and cumulative frequency plots for each monitoring location are reported. This report covers the data collection period from summer of 1978 through fall of 1981.

  20. Regional Industry Workforce Development: The Gulf Coast Petrochemical Information Network

    ERIC Educational Resources Information Center

    Hodgin, Johnette; Muha, Susan

    2008-01-01

    The Gulf Coast Petrochemical Information Network (GC-PIN) is a workforce development partnership among industry businesses and area institutions of higher education in the four-county Gulf Coast region. GC-PIN partners develop new industry-specific curricula, foster industry career awareness, and retrain existing employees in new technologies.

  1. A climatological network for regional climate monitoring in Sardinia.

    NASA Astrophysics Data System (ADS)

    Delitala, Alessandro M. S.

    2016-04-01

    In recent years the Region of Sardinia has been working to set-up a Regional Climatological Network of surface stations, in order to monitor climate (either stationary or changing) at sub-synoptic scale and in order to make robust climatological information available to researchers and to local stake-holders. In order to do that, an analysis of long climatological time series has been performed on the different historical networks of meteorological stations that existed over the past two centuries. A set of some hundreds of stations, with about a century of observations of daily precipitation, was identified. An important subset of them was also defined, having long series of observations of temperature, wind, pressure and other quantities. Specific investments were made on important stations sites where observations had been carried for decades, but where the climatological stations did not exist anymore. In the present talk, the Regional Climatological Network of Sardinia will be presented and its consistency discussed. Specific attention will be given to the most important climatological stations which have got more than a century of observations of meteorological quantities. Critical issues of the Regional Climatological Network, like relocation of stations and inhomogeneity of data due to instrumental changes or environmental modifications, will be discussed.

  2. Regional Industry Workforce Development: The Gulf Coast Petrochemical Information Network

    ERIC Educational Resources Information Center

    Hodgin, Johnette; Muha, Susan

    2008-01-01

    The Gulf Coast Petrochemical Information Network (GC-PIN) is a workforce development partnership among industry businesses and area institutions of higher education in the four-county Gulf Coast region. GC-PIN partners develop new industry-specific curricula, foster industry career awareness, and retrain existing employees in new technologies.

  3. Region growing with pulse-coupled neural networks: an alternative to seeded region growing.

    PubMed

    Stewart, R D; Fermin, I; Opper, M

    2002-01-01

    The seeded region growing (SRG) algorithm is a fast robust parameter-free method for segmenting intensity images given initial seed locations for each region. The requirement of predetermined seeds means that the model cannot operate fully autonomously. In this paper, we demonstrate a novel region growing variant of the pulse-coupled neural network (PCNN), which offers comparable performance to the SRG and is able to generate seed locations internally, opening the way to fully autonomous operation.

  4. Venus - Complex Network of Narrow Fractures Near Hestia Rupes Region

    NASA Image and Video Library

    1996-10-23

    This image from NASA Magellan spacecraft covers region near Hestia Rupes on the northwestern corner of Aphrodite Terra. The complex network of narrow (<1 kilometer) fractures in the center of the image extends for approximately 50 kilometers (31 miles). This network exhibits tributary-like branches similar to those observed in river systems on Earth. However, the angular intersections of tributaries suggest tectonic control. These features appear to be due to drainage of lava along preexisting fractures and subsequent collapse of the surface. The underlying tectonic fabric can be observed in the northeast trending ridges which predate the plains. http://photojournal.jpl.nasa.gov/catalog/PIA00469

  5. Rare-region effects in the contact process on networks.

    PubMed

    Juhász, Róbert; Ódor, Géza; Castellano, Claudio; Muñoz, Miguel A

    2012-06-01

    Networks and dynamical processes occurring on them have become a paradigmatic representation of complex systems. Studying the role of quenched disorder, both intrinsic to nodes and topological, is a key challenge. With this in mind, here we analyze the contact process (i.e., the simplest model for propagation phenomena) with node-dependent infection rates (i.e., intrinsic quenched disorder) on complex networks. We find Griffiths phases and other rare-region effects, leading rather generically to anomalously slow (algebraic, logarithmic, etc.) relaxation, on Erdős-Rényi networks. We predict similar effects to exist for other topologies as long as a nonvanishing percolation threshold exists. More strikingly, we find that Griffiths phases can also emerge--even with constant epidemic rates--as a consequence of mere topological heterogeneity. In particular, we find Griffiths phases in finite-dimensional networks as, for instance, a family of generalized small-world networks. These results have a broad spectrum of implications for propagation phenomena and other dynamical processes on networks, and are relevant for the analysis of both models and empirical data.

  6. Operations plan for the Regional Seismic Test Network

    SciTech Connect

    Not Available

    1981-05-15

    The Regional Seismic Test Network program was established to provide a capability for detection of extremely sensitive earth movements. Seismic signals from both natural and man-made earth motions will be analyzed with the ultimate objective of accurately locating underground nuclear explosions. The Sandia National Laboratories, Albuquerque, has designed an unattended seismic station capable of recording seismic information received at the location of the seismometers installed as part of that specific station. A network of stations is required to increase the capability of determining the source of the seismic signal and the location of the source. Current plans are to establish a five-station seismic network in the United States and Canada. The Department of Energy, Nevada Operations Office, has been assigned the responsibility for deploying, installing, and operating these remote stations. This Operation Plan provides the basic information and tasking to accomplish this assignment.

  7. Topical Application of Liposomal Antioxidant’s for Protection Against CEES Induced Skin Damage

    DTIC Science & Technology

    2006-07-01

    or EpiDerm tissues. Human skin cells will be treated with antioxidant liposomes containing both water- and lipid -soluble antioxidants (bi- functional...deliver both water- and lipid -soluble antioxidants to the skin cells. As liposomes are artificially made vehicles, the question of their long-term...W81XWH-05-2-0034 TITLE: Topical Application of Liposomal Antioxidants for Protection Against CEES Induced Skin Damage PRINCIPAL

  8. A Collaborative Network Model for Agrifood Transactions on Regional Base

    NASA Astrophysics Data System (ADS)

    Volpentesta, Antonio P.; Ammirato, Salvatore

    The paper deals with a collaborative agrifood network in a regional scenario where producers of high typical and quality goods and consumer groups are involved in agrifood transactions as well as information and knowledge exchanges through an e-business platform. While producers are engaged in providing consumers with useful and timely information about healthiness, environmentally friendliness and most importantly, food quality of their products, consumers are engaged in giving prompt and understandable feedbacks to the producers. In this sense, the network is a form of proactive learning community. Starting from some basic socio-economic assumptions on a reference territory, we present an organizational model that can be adopted to foster the development of the regional area where it is applied. An instantiation of the model for a selected territory (the District of High Quality Productions in Sibari, Calabria, Italy) and first results, coming from two pilot tests, have been summarized as well.

  9. Regional Small-Event Identification Using Seismic Networks and Arrays

    DTIC Science & Technology

    2007-11-02

    PL-TR-97-2160 REGIONAL SMALL-EVENT IDENTIFICATION USING SEISMIC NETWORKS AND ARRAYS Michael A.H. Hedlin University of California/San Diego...This technical report has been reviewed and is approved for publication. JAMES C. BATTIS ^ CHARLES P. PIKE, Deputy Director jiontract Manager...by your organization, please notify AFRL/VSOE, 29 Randolph Road, Hanscom AFB, MA 01731-3010. This will assist us in maintaining a current mailing

  10. IA-Regional-Radio - Social Network for Radio Recommendation

    NASA Astrophysics Data System (ADS)

    Dziczkowski, Grzegorz; Bougueroua, Lamine; Wegrzyn-Wolska, Katarzyna

    This chapter describes the functions of a system proposed for the music hit recommendation from social network data base. This system carries out the automatic collection, evaluation and rating of music reviewers and the possibility for listeners to rate musical hits and recommendations deduced from auditor's profiles in the form of regional Internet radio. First, the system searches and retrieves probable music reviews from the Internet. Subsequently, the system carries out an evaluation and rating of those reviews. From this list of music hits, the system directly allows notation from our application. Finally, the system automatically creates the record list diffused each day depending on the region, the year season, the day hours and the age of listeners. Our system uses linguistics and statistic methods for classifying music opinions and data mining techniques for recommendation part needed for recorded list creation. The principal task is the creation of popular intelligent radio adaptive on auditor's age and region - IA-Regional-Radio.

  11. Regionalization: Canadian-style integrated networks. A case study.

    PubMed

    Ferdinand, M

    1995-01-01

    Developing a successful integrated network requires senior management to scrutinize and apportion available resources--technologies, beds, personnel and so forth--on a regional basis. Regionalization--the Canadian version of integrated networks--increasingly came to be seen as the answer that would work, and in New Brunswick the broadest efforts have been made. Fifty-one hospital and health center boards across the province were dissolved, and health services in the province were apportioned into seven regional hospital corporations, with an eighth encompassing the entire province. At Region 3 Hospital Corporation, a strategic planning exercise helped management identify resources. New information systems were put in place to provide resource utilization information for designating facilities for the level of care they would provide, as well as to provide feedback to physicians and develop critical pathways. Support services were consolidated. Budget reductions caused the curtailment of new service plans, but also increased cooperation among clinicians and non-clinical managers. Layoffs created worker bumping throughout the system to accommodate union seniority rules. Nearly three years into regionalization, most people in New Brunswick say they are satisfied with the healthcare they receive.

  12. Predicting Regional Self-identification from Spatial Network Models

    PubMed Central

    Almquist, Zack W.; Butts, Carter T.

    2014-01-01

    Social scientists characterize social life as a hierarchy of environments, from the micro level of an individual’s knowledge and perceptions to the macro level of large-scale social networks. In accordance with this typology, individuals are typically thought to reside in micro- and macro-level structures, composed of multifaceted relations (e.g., acquaintanceship, friendship, and kinship). This article analyzes the effects of social structure on micro outcomes through the case of regional identification. Self identification occurs in many different domains, one of which is regional; i.e., the identification of oneself with a locationally-associated group (e.g., a “New Yorker” or “Parisian”). Here, regional self-identification is posited to result from an influence process based on the location of an individual’s alters (e.g., friends, kin or coworkers), such that one tends to identify with regions in which many of his or her alters reside. The structure of this paper is laid out as follows: initially, we begin with a discussion of the relevant social science literature for both social networks and identification. This discussion is followed with one about competing mechanisms for regional identification that are motivated first from the social network literature, and second by the social psychological and cognitive literature of decision making and heuristics. Next, the paper covers the data and methods employed to test the proposed mechanisms. Finally, the paper concludes with a discussion of its findings and further implications for the larger social science literature. PMID:25684791

  13. Networking environmental metadata: a pilot project for the Mediterranean Region

    NASA Astrophysics Data System (ADS)

    Bonora, N.; Benito, M.; Abou El-Magd, I.; Mazzetti, P.; Ndong, C.

    2012-04-01

    To better exploit any environmental dataset it is necessary to provide detailed information (metadata) capable to furnish the best data description. Operating environmental data and information networking requires the long-term investment of financial and human resources. As these resources are scarce, ensuring sustainability can be a struggle. Then, to use more effectively human and economic resources and to avoid duplication, it is essential to test existing models and, where appropriate, replicate strategies and experiences. For the above reasons, it has been programmed to pilot a project to implement and test a metadata catalogue's networking, involving Countries afferent the Mediterranean Region, to demonstrate that the adoption of open source and free software and international interoperability standards can contribute to the alignment of I&TC resources to achieve environmental information sharing. This pilot, planned in the frame of the EGIDA FP7 European Project, aims to support the implementation of a replication methodology for the establishment of national/regional environmental information nodes on the bases of the System of Systems architecture concept, to support the exchange of environmental information in the frame of the Barcelona Convention and to incept a Mediterranean scale joint contribution to GEOSS focusing on partnership, infrastructures and products. To establish the partnership and to conduce interoperability tests, this pilot project build on the Info-RAC (Information and Communication Activity Centre of the United Nation Environmental Programme - Mediterranean Action Plan) and GEO (Group on Earth Observations) networks.

  14. Assessment of asynchronous transfer mode (ATM) networks for regional teleradiology

    NASA Astrophysics Data System (ADS)

    Duerinckx, Andre J.; Hayrapetian, Alek S.; Valentino, Daniel J.; Grant, Edward G.; Rahbar, Darius; Kiszonas, Mike; Franco, Ricky; Shimabuku, Guy H.; Hagan, Girish T.; Melany, Michelle; Narin, Sherelle L.; Ragavendra, Nagesh

    1996-05-01

    The purpose of this study was to assess the effect of ATM network capabilities on the clinical practice of regional teleradiology, by providing immediate interactive radiology consultations between subspecialists and general radiologists at affiliated academic institutions. PACS installed at three affiliated hospitals (UCLA Medical Center, West LA VAMC and UCLA Olive-View Medical Centers) were connected via an ATM network. Two commercial PACS (Agfa) systems, one at the VAMC and one in an ultrasound outpatient clinic at UCLA were connected via ATM switches (Newbridge, Inc.) and a Santa Monica GTE central office switch. We evaluated this initial system configuration and measured image transfer performance, including memory-to-memory, disk-to-disk, disk-to-archive with and without DICOM protocols. Although the memory-to-memory data rate was 25 Mbps, the average remote disk-to-disk image transfer performance, using DICOM 3.0 communications protocols on SUN SPARCstation 10 servers, was 3 to 5 Mbps. Using these capabilities, timely interactive subspecialty consultations between radiologists was successfully performed while both were at different physical locations. We present the use of ATM technology in a realistic clinical environment and evaluate its impact on patient care and clinical teaching within the radiology departments of 2 institutions. Image communications over a regional PACS using an ATM network can allow interactive consultations between different subspecialist and general radiologists or other specialized radiologist spread over three different medical centers.

  15. Virginia Regional Seismic Network. Final report (1986--1992)

    SciTech Connect

    Bollinger, G.A.; Sibol, M.S.; Chapman, M.C.; Snoke, J.A.

    1993-07-01

    In 1986, the Virginia Regional Seismic Network was one of the few fully calibrated digital seismic networks in the United States. Continued operation has resulted in the archival of signals from 2,000+ local, regional and teleseismic sources. Seismotectonic studies of the central Virginia seismic zone showed the activity in the western part to be related to a large antiformal structure while seismicity in the eastern portion is associated spatially with dike swarms. The eastern Tennessee seismic zone extends over a 300x50 km area and is the result of a compressive stress field acting at the intersection between two large crustal blocks. Hydroseismicity, which proposes a significant role for meteoric water in intraplate seismogenesis, found support in the observation of common cyclicities between streamflow and earthquake strain data. Seismic hazard studies have provided the following results: (1) Damage areas in the eastern United States are three to five times larger than those observed in the west. (2) Judged solely on the basis of cataloged earthquake recurrence rates, the next major shock in the southeast region will probably occur outside the Charleston, South Carolina area. (3) Investigations yielded necessary hazard parameters (for example, maximum magnitudes) for several sites in the southeast. Basic to these investigations was the development and maintenance of several seismological data bases.

  16. Regional Localization with the Hawaii Island Infrasound Network

    NASA Astrophysics Data System (ADS)

    Perttu, A. B.; Garces, M. A.; Thelen, W. A.

    2013-12-01

    The Big Island of Hawaii is home to an extensive network of infrasound arrays, with additional arrays in Maui and Kauai. Four of the six Hawaii arrays are focused on Kilauea volcano. This project examines several methods for estimating source location, onset time, duration, and source energetics from regional infrasonic signals, with an emphasis on improving signal characterization. Diverse persistent natural and anthropogenic regional sources provide a data set for addressing localization with the Hawaii network. Explosions at the Pohakuloa Training Area, rock falls within the Halema'uma'u vent, and a repetitive unknown signal off the coast of Maui supply transient signals with known and unknown locations. In addition, Halema'uma'u and Pu'u O'o vents both produce infrasonic tremor with known locations. Well-constrained signal discrimination and characterization is essential for good location results. This paper presents progress in signal processing, feature extraction, and event association with standardized, self-similar, logarithmic time-frequency multiresolution algorithms. The Infrasonic Energy, Nth Octave (INFERNO) energy estimation suite of Garces (2013) is used in conjunction with the PMCC4 array processing algorithm to extract standardized signal features and parameters for improved regional association, localization, and source characterization.

  17. Network Optimization of Functional Connectivity within Default Mode Network Regions to Detect Cognitive Decline.

    PubMed

    Chaovalitwongse, Wanpracha Art; Won, Daehan; Seref, Onur; Borghesani, Paul; Askren, Mary Katie; Willis, Sherry; Grabowski, Tom

    2017-03-07

    The rapid aging of the world's population is causing an increase in the prevalence of cognitive decline and degenerative brain disease in the elderly. Current diagnoses of amnestic and nonamnestic Mild Cognitive Impairment (MCI), which may represent early stage Alzheimer's disease or related degenerative conditions, are based on clinical grounds. The recent emergence of advanced network analyses of functional Magnetic Resonance Imaging (fMRI) data taken at cognitive rest has provided insight that declining functional connectivity of the default mode network (DMN) may be correlated with neurological disorders, and particularly prodromal Alzheimer's disease. The goal of this paper is to develop a network analysis technique using fMRI data to characterize transition stages from healthy brain aging to cognitive decline. Previous studies primarily focused on internodal connectivity of the DMN and often assume functional homogeneity within each DMN region. In this paper, we develop a technique that focuses on identifying critical intra-nodal DMN connectivity by incorporating sparsity into connectivity modeling of the k-cardinality tree (KCT) problem. Most biological networks are efficient and formed by sparse connections, and the KCT can potentially reveal sparse connectivity patterns that are biologically informative. The KCT problem is NP-hard, and existing solution approaches are mostly heuristic. Mathematical formulations of the KCT problem in the literature are not compact and do not provide good solution bounds. This paper presents new KCT formulations and a fast heuristic approach to efficiently solve the KCT models for large DMN regions. The results in this study demonstrate that traditional fMRI group analysis on DMN regions cannot detect any statistically significant connectivity differences between normal aging and cognitively impaired subjects in DMN regions, and the proposed KCT approaches are more sensitive than the state-of-the-art regional homogeneity

  18. A system's view of metro and regional optical networks

    NASA Astrophysics Data System (ADS)

    Lam, Cedric F.; Way, Winston I.

    2009-01-01

    Developments in fiber optic communications have been rejuvenated after the glut of the overcapacity at the turn of the century. The boom of video-centric network applications finally resulted in another wave of vast build-outs of broadband access networks such as FTTH, DOCSIS 3.0 and WI-FI systems, which in turn also drove up the bandwidth demands in metro and regional WDM networks. These new developments have rekindled research interests on technologies not only to meet the surging demand, but also to upgrade legacy network infrastructures in an evolutionary manner without disrupting existing services and incurring significant capital penalties. Standard bodies such as IEEE, ITU and OIF have formed task forces to ratify 100Gb/s interface standards. Thanks to the seemingly unlimited bandwidth in single-mode fibers, advances in optical networks has traditionally been fueled by more capable physical components such as more powerful laser, cleaner and wider bandwidth optical amplifier, faster modulator and photo-detectors, etc. In the meanwhile, the mainstream modulation technique for fiber optic communication systems has remained the most rudimentary form of on-off keying (OOK) and direct power detection for a very long period of time because spectral efficiency had never been a concern. This scenario, however, is no longer valid as demand for bandwidth is pushing the limit of current of current WDM technologies. In terms of spectral use, all the 100-GHz ITU grids in the C-band have been populated with 10Gb/s wavelengths in most of the WDM transport networks, and we are exhausting the power and bandwidth offered on existing fiber plant EDFAs. Beyond 10Gb/s, increasing the transmission to 40Gb/s by brute force OOK approach incurs significant penalties due to chromatic and polarization mode dispersion. With conventional modulation schemes, transmission impairments at 40Gb/s speed and above already become such difficult challenges that the efforts to manage these

  19. 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

  20. Source regions and water release mechanisms of Martian Valley Networks

    NASA Astrophysics Data System (ADS)

    Jaumann, R.; Reiss, D.; Sander, T.; Gwinner, K.; Roatsch, T.; Matz, K.-D.; Hauber, E.; Mertens, V.; Hoffmann, H.; Neukum, G.; HRSC Co-Investigator Team

    Martian valley networks have been cited as the best evidence that Mars maintained flow of liquid water across the surface. Although internal structures associated with a fluvial origin within valleys like inner channels, terraces, slip-off and undercut slopes are extremely rare on Mars (Carr and Malin, 2000) such features can be identified in high-resolution imagery (e.g. Malin and Edgett, 2001; Jaumann et al., 2005). However, besides internal features the source regions are an important indicator for the flow processes in Martian valleys because they define the drainage area and thus constrain the amount of available water for eroding the valley network. Furthermore, the morphology of the source regions and their topographic characteristics provide information about the origin of the water. On Mars valley networks are thought to be formed by retreating erosion where the water is supplied from the sub-surface. However, the mechanisms that are responsible for the release of ground water are poorly understood. The three dimensional highly resolved data of the High Resolution Stereo Camera (HRSC) on the Mars Express Mission (Neukum et al., 2004) allow the detailed examination of valley network source regions. A valley network in the western Lybia Montes region valley between 1.4°N to 3.5°N and 81.6°E to 82.5°E originates at a highland mountain region and drains down to Isidis Planitia over a distance of 400 km. Most of its distance the valley exhibits an interior channel that allows to constraint discharge and erosion budgets (Jaumann, et al., 2005). The valley was formed in the Noachian/Hesperian between 3.7 and 3.3 billion years. However, discharge and erosion budgets restrict the erosion time to a few million years in total, indicating single events rather than continuous flow over long periods. The source region of the valley is covered by a series of lava flows. Even the upstream part of the valley is covered by lava flows that cover the interior channel

  1. Ground Motion Simulations for Bursa Region (Turkey) Using Input Parameters derived from the Regional Seismic Network

    NASA Astrophysics Data System (ADS)

    Unal, B.; Askan, A.

    2014-12-01

    Earthquakes are among the most destructive natural disasters in Turkey and it is important to assess seismicity in different regions with the use of seismic networks. Bursa is located in Marmara Region, Northwestern Turkey and to the south of the very active North Anatolian Fault Zone. With around three million inhabitants and key industrial facilities of the country, Bursa is the fourth largest city in Turkey. Since most of the focus is on North Anatolian Fault zone, despite its significant seismicity, Bursa area has not been investigated extensively until recently. For reliable seismic hazard estimations and seismic design of structures, assessment of potential ground motions in this region is essential using both recorded and simulated data. In this study, we employ stochastic finite-fault simulation with dynamic corner frequency approach to model previous events as well to assess potential earthquakes in Bursa. To ensure simulations with reliable synthetic ground motion outputs, the input parameters must be carefully derived from regional data. In this study, using strong motion data collected at 33 stations in the region, site-specific parameters such as near-surface high frequency attenuation parameter and amplifications are obtained. Similarly, source and path parameters are adopted from previous studies that as well employ regional data. Initially, major previous events in the region are verified by comparing the records with the corresponding synthetics. Then simulations of scenario events in the region are performed. We present the results in terms of spatial distribution of peak ground motion parameters and time histories at selected locations.

  2. Inferring cultural regions from correlation networks of given baby names

    NASA Astrophysics Data System (ADS)

    Pomorski, Mateusz; Krawczyk, Małgorzata J.; Kułakowski, Krzysztof; Kwapień, Jarosław; Ausloos, Marcel

    2016-03-01

    We report investigations on the statistical characteristics of the baby names given between 1910 and 2010 in the United States of America. For each year, the 100 most frequent names in the USA are sorted out. For these names, the correlations between the names profiles are calculated for all pairs of states (minus Hawaii and Alaska). The correlations are used to form a weighted network which is found to vary mildly in time. In fact, the structure of communities in the network remains quite stable till about 1980. The goal is that the calculated structure approximately reproduces the usually accepted geopolitical regions: the Northeast, the South, and the "Midwest + West" as the third one. Furthermore, the dataset reveals that the name distribution satisfies the Zipf law, separately for each state and each year, i.e. the name frequency f ∝r-α, where r is the name rank. Between 1920 and 1980, the exponent α is the largest one for the set of states classified as 'the South', but the smallest one for the set of states classified as "Midwest + West". Our interpretation is that the pool of selected names was quite narrow in the Southern states. The data is compared with some related statistics of names in Belgium, a country also with different regions, but having quite a different scale than the USA. There, the Zipf exponent is low for young people and for the Brussels citizens.

  3. Characterization of image transfer patterns in a regional trauma network.

    PubMed

    Neuhaus, Philipp; Weber, Thomas; Dugas, Martin; Juhra, Christian; Breil, Bernhard

    2014-11-01

    Trauma Networks are currently founded in Germany to improve patient care of severely injured persons. To assure appropriate patient treatment in a short time, the transfer of radiological image data between the connected hospitals over the internet is an important method. This paper characterizes radiological image transfer patterns in a regional trauma network and analyzes various compression options. Within the "TraumaNetwork NorthWest" in Germany, the web-based platform "MedSix" was developed. MedSix is able to transfer DICOM-data quickly and easily between connected hospitals and can be directly connected to the local PACS. Audit data of the routine system between the 01.01.2012 and the 31.12.2012 were analyzed to identify typical characteristics of radiological image exchanges. Five different compression methods were compared by a simulation. MedSix has been used by 12 hospitals. 87 % of the transfers were uploaded within 15 min. Lossless compression is able to save about 50 % bandwidth. 82 % of the transfers have a data volume of less than 200 MB. Temporary accounts for non-regular users were used regularly. Most transfers were done from small to maximum care hospitals. It is feasible to substitute physical image exchange in a trauma network with electronic exchange of radiological images between the connected hospitals. Even large datasets are transferred within an acceptable time frame. Most transfers occur from small to large hospitals. The possibility of temporary accounts seems to be a key feature for the user acceptance.

  4. Regional hydrologic mapping of flows in stream networks

    NASA Astrophysics Data System (ADS)

    Saghafian, Bahram

    2009-10-01

    River low flow (LF) is an important hydrological characteristic used in management of the quantity and quality of water resources. A common way to transpose at-station low flow quantiles to ungaged locations involves development of regional multivariate regression models. In site selection studies of water control facilities, need arises to automate the mapping of LF characteristics onto the stream network in a continuous manner. This would allow estimation of LF at any desired ungaged location. A mapping algorithm is introduced that determines the value of regression model's independent variables (input components) over the drainage area of each stream pixel and calculates the flow (output). The mapping algorithm relies mainly on the digital elevation model (DEM) and its derivatives, such as flow direction and flow accumulation. Furthermore, the contribution of each independent variable of the regional model to the total flow may be plotted to represent the flow profiles along the streams. A case study involving LF mapping in rivers of Gilan province, Iran, where LF quantiles are required for issuing water withdrawal permits as well as maintaining water quality standards, is also described in the paper. Overall, the maps and profiles of flow statistics in the region of interest provide convenient visualization and assessment tools for water resource and environmental engineers. The transposition algorithm may also be applied in regional mapping of other flow characteristics such as flood or average flows.

  5. PBO Southwest Region: Baja Earthquake Response and Network Operations

    NASA Astrophysics Data System (ADS)

    Walls, C. P.; Basset, A.; Mann, D.; Lawrence, S.; Jarvis, C.; Feaux, K.; Jackson, M. E.

    2011-12-01

    The SW region of the Plate Boundary Observatory consists of 455 continuously operating GPS stations located principally along the transform system of the San Andreas fault and Eastern California Shear Zone. In the past year network uptime exceeded an average of 97% with greater than 99% data acquisition. Communications range from CDMA modem (307), radio (92), Vsat (30), DSL/T1/other (25) to manual downloads (1). Sixty-three stations stream 1 Hz data over the VRS3Net typically with <0.5 second latency. Over 620 maintenance activities were performed during 316 onsite visits out of approximately 368 engineer field days. Within the past year there have been 7 incidences of minor (attempted theft) to moderate vandalism (solar panel stolen) with one total loss of receiver and communications gear. Security was enhanced at these sites through fencing and more secure station configurations. In the past 12 months, 4 new stations were installed to replace removed stations or to augment the network at strategic locations. Following the M7.2 El Mayor-Cucapah earthquake CGPS station P796, a deep-drilled braced monument, was constructed in San Luis, AZ along the border within 5 weeks of the event. In addition, UNAVCO participated in a successful University of Arizona-led RAPID proposal for the installation of six continuous GPS stations for post-seismic observations. Six stations are installed and telemetered through a UNAM relay at the Sierra San Pedro Martir. Four of these stations have Vaisala WXT520 meteorological sensors. An additional site in the Sierra Cucapah (PTAX) that was built by CICESE, an Associate UNAVCO Member institution in Mexico, and Caltech has been integrated into PBO dataflow. The stations will be maintained as part of the PBO network in coordination with CICESE. UNAVCO is working with NOAA to upgrade PBO stations with WXT520 meteorological sensors and communications systems capable of streaming real-time GPS and met data. The real-time GPS and

  6. Bifurcation behaviors of synchronized regions in logistic map networks with coupling delay

    SciTech Connect

    Tang, Longkun E-mail: xqwu@whu.edu.cn; Wu, Xiaoqun E-mail: xqwu@whu.edu.cn; Lu, Jun-an; Lü, Jinhu

    2015-03-15

    Network synchronized regions play an extremely important role in network synchronization according to the master stability function framework. This paper focuses on network synchronous state stability via studying the effects of nodal dynamics, coupling delay, and coupling way on synchronized regions in Logistic map networks. Theoretical and numerical investigations show that (1) network synchronization is closely associated with its nodal dynamics. Particularly, the synchronized region bifurcation points through which the synchronized region switches from one type to another are in good agreement with those of the uncoupled node system, and chaotic nodal dynamics can greatly impede network synchronization. (2) The coupling delay generally impairs the synchronizability of Logistic map networks, which is also dominated by the parity of delay for some nodal parameters. (3) A simple nonlinear coupling facilitates network synchronization more than the linear one does. The results found in this paper will help to intensify our understanding for the synchronous state stability in discrete-time networks with coupling delay.

  7. Primary Health Care: care coordinator in regionalized networks?

    PubMed

    Almeida, Patty Fidelis de; Santos, Adriano Maia Dos

    2016-12-22

    To analyze the breadth of care coordination by Primary Health Care in three health regions. This is a quantitative and qualitative case study. Thirty-one semi-structured interviews with municipal, regional and state managers were carried out, besides a cross-sectional survey with the administration of questionnaires to physicians (74), nurses (127), and a representative sample of users (1,590) of Estratégia Saúde da Família (Family Health Strategy) in three municipal centers of health regions in the state of Bahia. Primary Health Care as first contact of preference faced strong competition from hospital outpatient and emergency services outside the network. Issues related to access to and provision of specialized care were aggravated by dependence on the private sector in the regions, despite progress observed in institutionalizing flows starting out from Primary Health Care. The counter-referral system was deficient and interprofessional communication was scarce, especially concerning services provided by the contracted network. Coordination capacity is affected both by the fragmentation of the regional network and intrinsic problems in Primary Health Care, which poorly supported in its essential attributes. Although the health regions have common problems, Primary Health Care remains a subject confined to municipal boundaries. Analisar o alcance da coordenação do cuidado pela Atenção Primária à Saúde em três regiões de saúde. Trata-se de estudo de caso, com abordagem quantitativa e qualitativa. Foram realizadas 31 entrevistas semiestruturadas com gestores municipais, regionais e estaduais e estudo transversal com aplicação de questionários para médicos (74), enfermeiros (127) e amostra representativa de usuários (1.590) da Estratégia Saúde da Família em três municípios-sede de regiões de saúde do estado da Bahia. A função de porta de entrada preferencial pela Atenção Primária à Saúde deparava-se com forte concorrência de servi

  8. 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

  9. Automatic classification of seismic events within a regional seismograph network

    NASA Astrophysics Data System (ADS)

    Tiira, Timo; Kortström, Jari; Uski, Marja

    2015-04-01

    A fully automatic method for seismic event classification within a sparse regional seismograph network is presented. The tool is based on a supervised pattern recognition technique, Support Vector Machine (SVM), trained here to distinguish weak local earthquakes from a bulk of human-made or spurious seismic events. The classification rules rely on differences in signal energy distribution between natural and artificial seismic sources. Seismic records are divided into four windows, P, P coda, S, and S coda. For each signal window STA is computed in 20 narrow frequency bands between 1 and 41 Hz. The 80 discrimination parameters are used as a training data for the SVM. The SVM models are calculated for 19 on-line seismic stations in Finland. The event data are compiled mainly from fully automatic event solutions that are manually classified after automatic location process. The station-specific SVM training events include 11-302 positive (earthquake) and 227-1048 negative (non-earthquake) examples. The best voting rules for combining results from different stations are determined during an independent testing period. Finally, the network processing rules are applied to an independent evaluation period comprising 4681 fully automatic event determinations, of which 98 % have been manually identified as explosions or noise and 2 % as earthquakes. The SVM method correctly identifies 94 % of the non-earthquakes and all the earthquakes. The results imply that the SVM tool can identify and filter out blasts and spurious events from fully automatic event solutions with a high level of confidence. The tool helps to reduce work-load in manual seismic analysis by leaving only ~5 % of the automatic event determinations, i.e. the probable earthquakes for more detailed seismological analysis. The approach presented is easy to adjust to requirements of a denser or wider high-frequency network, once enough training examples for building a station-specific data set are available.

  10. Quality assurance and improvement: the Pediatric Regional Anesthesia Network.

    PubMed

    Polaner, David M; Martin, Lynn D

    2012-01-01

    Quality assurance and improvement (QA/QI) is a critical activity in medicine. The use of large-scale collaborative databases is increasingly essential to obtain enough reports with which to establish standards of practice and define the incidence of complications and risk/benefit ratios for rare events. Such projects can enhance local QA/QI endeavors by enabling institutions to obtain benchmark data against which to compare their performance and can be used for prospective analyses of inter-institutional differences to determine 'best practice'. The pediatric regional anesthesia network (PRAN) is such a project. The first data cohort is currently being analyzed and offers insight into how such data can be used to detect trends in adverse events and improve care.

  11. Regional health information networks: the Wisconsin Health Information Network, a case study.

    PubMed Central

    Pemble, K. R.

    1994-01-01

    It is projected that by the turn of the century, ninety percent of diagnostic procedures and seventy percent of therapeutic procedures will occur outside a hospital setting [2,3]. Additionally, according to a 1992 study by Arthur D. Little, during any given physician office visit, as much as 30 percent of the required diagnostic data and information required by the physician is unavailable [4]. Driven by ever increasing demands for convenience and accessibility, health care continues to evolve into an environment where the importance of data and its relative availability to the requester are diverging. This paper will present the concept of a regional or community health information network (RHIN or CHIN). Specifically, the Wisconsin Health Information Network (WHIN) will be used as a case study. PMID:7949958

  12. Station corrections for the Katmai Region Seismic Network

    USGS Publications Warehouse

    Searcy, Cheryl K.

    2003-01-01

    Most procedures for routinely locating earthquake hypocenters within a local network are constrained to using laterally homogeneous velocity models to represent the Earth's crustal velocity structure. As a result, earthquake location errors may arise due to actual lateral variations in the Earth's velocity structure. Station corrections can be used to compensate for heterogeneous velocity structure near individual stations (Douglas, 1967; Pujol, 1988). The HYPOELLIPSE program (Lahr, 1999) used by the Alaska Volcano Observatory (AVO) to locate earthquakes in Cook Inlet and the Aleutian Islands is a robust and efficient program that uses one-dimensional velocity models to determine hypocenters of local and regional earthquakes. This program does have the capability of utilizing station corrections within it's earthquake location proceedure. The velocity structures of Cook Inlet and Aleutian volcanoes very likely contain laterally varying heterogeneities. For this reason, the accuracy of earthquake locations in these areas will benefit from the determination and addition of station corrections. In this study, I determine corrections for each station in the Katmai region. The Katmai region is defined to lie between latitudes 57.5 degrees North and 59.00 degrees north and longitudes -154.00 and -156.00 (see Figure 1) and includes Mount Katmai, Novarupta, Mount Martin, Mount Mageik, Snowy Mountain, Mount Trident, and Mount Griggs volcanoes. Station corrections were determined using the computer program VELEST (Kissling, 1994). VELEST inverts arrival time data for one-dimensional velocity models and station corrections using a joint hypocenter determination technique. VELEST can also be used to locate single events.

  13. Regional medical information network using optical memory cards and integrated services for digital network.

    PubMed

    Ogushi, Y; Misawa, T; Hayashi, Y; Ohta, Y; Suzuki, S; Horie, M; Sakashita, Y

    1995-01-01

    Since 1986, we have been developing a regional health and welfare system using optical memory cards. We have expanded the system and performed model experiments and evaluations this time. There are approximately 3000 card-holders and 23 card-reader terminals in use. They cover 50 percent of the medical facilities in the city of Isehara. Two medical clinics within neighboring cities have joined our project. Standard Deviation Index (SDI) has been introduced to standardize the numeric results of examinations. The terminals are connected with Integrated Services for Digital Network (ISDN) allowing remote access to the optical memory cards. This enhanced connectivity has allowed greater cooperation in delivering quality medical services.

  14. Technology, Integration, and Learning Environments: CEE Monograph: The NAU Centennial Year of Education. Monograph Series No. 5.

    ERIC Educational Resources Information Center

    Tucker, Gary, Ed.; Gunn, Cathy, Ed.; Lapan, Stephen D., Ed.

    This volume of the Center for Excellence in Education (CEE) monograph series describes Northern Arizona University's (NAU) commitment to education and innovation. Contained within this volume are discussions of professional development courses and programs in the area of educational technology. The articles in this monograph feature educational…

  15. Mustard gas surrogate, 2-chloroethyl ethylsulfide (2-CEES), induces centrosome amplification and aneuploidy in human and mouse cells : 2-CEES induces centrosome amplification and chromosome instability.

    PubMed

    Bennett, Richard A; Behrens, Elizabeth; Zinn, Ashtyn; Duncheon, Christian; Lamkin, Thomas J

    2014-08-01

    Mustard gas is a simple molecule with a deadly past. First used as a chemical weapon in World War I, its simple formulation has raised concerns over its use by terrorist organizations and unstable governments. Mustard gas is a powerful vesicant and alkylating agent that causes painful blisters on epithelial surfaces and increases the incidence of cancer in those exposed. The mechanism of mustard gas toxicity and tumorigenesis is not well understood but is thought to be mediated by its ability to induce oxidative stress and DNA damage. Interestingly, several proteins that have been shown to either be targets of mustard gas or mediate mustard gas toxicity have also been shown to regulate centrosome duplication. Centrosomes are small nonmembrane-bound organelles that direct the segregation of chromosomes during mitosis through the formation of the bipolar mitotic spindle. Cells with more or less than two centrosomes during mitosis can segregate their chromosomes unequally, resulting in chromosome instability, a common phenotype of cancer cells. In our studies, we show that subtoxic levels of 2-chloroethyl ethylsulfide (2-CEES), a mustard gas analog, induce centrosome amplification and chromosome instability in cells, which may hasten the mutation rate necessary for tumorigenesis. These data may explain why those exposed to mustard gas exhibit higher incidences of cancer than unexposed individuals of the same cohort.

  16. Validation opportunities of DOAS Network in Moscow Region

    NASA Astrophysics Data System (ADS)

    Borovski, Alexander; Postylyakov, Oleg; Elokhov, Alexander; Ivanov, Victor; Kanaya, Yugo

    A.M. Obukhov Institute of Atmospheric Physics (IAP) of Russian Academy of Science developed a network of atmosphere composition measurements by DOAS method. Measurements sites of the network are located in the centre of Moscow at IAP (55.74N, 37.62E) south-east part of the city at M.V. Lomonosov Moscow State University (55.70N 37.53E), and in background region at Zvenigorod Scientific Station of IAP (ZSS, 55.70N, 36.78E). Intensity of the scattered solar radiation is registered in ultra-violet and visible spectrum region. Three devices are mounted at ZSS: based on MDR-23 spectrometer (since 1990), JAMSTEC MAX-DOAS (since 2008), and based on ORIEL MS257 spectrometer (since 2008). ORIEL MS260i imaging spectrometers were mounted at city stations in 2010. Measurements are regular and continuous at all stations. Basing on performed measurements of spectral radiance, the vertical distribution at twilight, the total content and the integral content in the boundary layer (ABL) in daytime of NO2 are obtained. The quantities are obtained in clear sky and cloudy conditions. Besides that, the vertical distribution of aerosol and the total content (mainly contributed by ABL) of HCHO using MAX-DOAS are calculated. The HCHO total content is retrieved with error about 20 %. We analyzed the variability of the HCHO during clear sky conditions in 2010. The HCHO content is larger during east wind directions than during non-east wind directions. It can be associated with Moscow Megacity influence on air quality at Zvenigorod. The estimation of Moscow Megacity influence on HCHO abundance at Zvenigorod is around 2.5E14 mol/cm2 per 1 km length of trajectory path inside Moscow Ring Road. Our data show statistically significant positive temperature effect in HCHO for the background condition for temperatures from -5C to +33C. The temperature trend in HCHO data at ZSS is about (8.9±2.3)E14 mol/cm2/C. The increase of the HCHO VCD during increase of the air temperature can be explained by the

  17. Characteristics of Venture Capital Network and Its Correlation with Regional Economy: Evidence from China.

    PubMed

    Jin, Yonghong; Zhang, Qi; Shan, Lifei; Li, Sai-Ping

    2015-01-01

    Financial networks have been extensively studied as examples of real world complex networks. In this paper, we establish and study the network of venture capital (VC) firms in China. We compute and analyze the statistical properties of the network, including parameters such as degrees, mean lengths of the shortest paths, clustering coefficient and robustness. We further study the topology of the network and find that it has small-world behavior. A multiple linear regression model is introduced to study the relation between network parameters and major regional economic indices in China. From the result of regression, we find that, economic aggregate (including the total GDP, investment, consumption and net export), upgrade of industrial structure, employment and remuneration of a region are all positively correlated with the degree and the clustering coefficient of the VC sub-network of the region, which suggests that the development of the VC industry has substantial effects on regional economy in China.

  18. Characteristics of Venture Capital Network and Its Correlation with Regional Economy: Evidence from China

    PubMed Central

    Jin, Yonghong; Zhang, Qi; Shan, Lifei; Li, Sai-Ping

    2015-01-01

    Financial networks have been extensively studied as examples of real world complex networks. In this paper, we establish and study the network of venture capital (VC) firms in China. We compute and analyze the statistical properties of the network, including parameters such as degrees, mean lengths of the shortest paths, clustering coefficient and robustness. We further study the topology of the network and find that it has small-world behavior. A multiple linear regression model is introduced to study the relation between network parameters and major regional economic indices in China. From the result of regression, we find that, economic aggregate (including the total GDP, investment, consumption and net export), upgrade of industrial structure, employment and remuneration of a region are all positively correlated with the degree and the clustering coefficient of the VC sub-network of the region, which suggests that the development of the VC industry has substantial effects on regional economy in China. PMID:26340555

  19. Mapping Individual Brain Networks Using Statistical Similarity in Regional Morphology from MRI

    PubMed Central

    Kong, Xiang-zhen; Liu, Zhaoguo; Huang, Lijie; Wang, Xu; Yang, Zetian; Zhou, Guangfu; Zhen, Zonglei; Liu, Jia

    2015-01-01

    Representing brain morphology as a network has the advantage that the regional morphology of ‘isolated’ structures can be described statistically based on graph theory. However, very few studies have investigated brain morphology from the holistic perspective of complex networks, particularly in individual brains. We proposed a new network framework for individual brain morphology. Technically, in the new network, nodes are defined as regions based on a brain atlas, and edges are estimated using our newly-developed inter-regional relation measure based on regional morphological distributions. This implementation allows nodes in the brain network to be functionally/anatomically homogeneous but different with respect to shape and size. We first demonstrated the new network framework in a healthy sample. Thereafter, we studied the graph-theoretical properties of the networks obtained and compared the results with previous morphological, anatomical, and functional networks. The robustness of the method was assessed via measurement of the reliability of the network metrics using a test-retest dataset. Finally, to illustrate potential applications, the networks were used to measure age-related changes in commonly used network metrics. Results suggest that the proposed method could provide a concise description of brain organization at a network level and be used to investigate interindividual variability in brain morphology from the perspective of complex networks. Furthermore, the method could open a new window into modeling the complexly distributed brain and facilitate the emerging field of human connectomics. PMID:26536598

  20. Mapping Individual Brain Networks Using Statistical Similarity in Regional Morphology from MRI.

    PubMed

    Kong, Xiang-zhen; Liu, Zhaoguo; Huang, Lijie; Wang, Xu; Yang, Zetian; Zhou, Guangfu; Zhen, Zonglei; Liu, Jia

    2015-01-01

    Representing brain morphology as a network has the advantage that the regional morphology of 'isolated' structures can be described statistically based on graph theory. However, very few studies have investigated brain morphology from the holistic perspective of complex networks, particularly in individual brains. We proposed a new network framework for individual brain morphology. Technically, in the new network, nodes are defined as regions based on a brain atlas, and edges are estimated using our newly-developed inter-regional relation measure based on regional morphological distributions. This implementation allows nodes in the brain network to be functionally/anatomically homogeneous but different with respect to shape and size. We first demonstrated the new network framework in a healthy sample. Thereafter, we studied the graph-theoretical properties of the networks obtained and compared the results with previous morphological, anatomical, and functional networks. The robustness of the method was assessed via measurement of the reliability of the network metrics using a test-retest dataset. Finally, to illustrate potential applications, the networks were used to measure age-related changes in commonly used network metrics. Results suggest that the proposed method could provide a concise description of brain organization at a network level and be used to investigate interindividual variability in brain morphology from the perspective of complex networks. Furthermore, the method could open a new window into modeling the complexly distributed brain and facilitate the emerging field of human connectomics.

  1. Network Sensitivity Solutions for Regional Moment Tensor Inversions

    SciTech Connect

    Ford, S R; Dreger, D S; Walter, W R

    2009-06-05

    Well-resolved moment tensor solutions reveal information about the sources of seismic waves. Here we introduce a new way of assessing confidence in the regional full moment tensor inversion via the introduction of the network sensitivity solution (NSS). The NSS takes into account the unique station distribution, frequency band, and signal-to-noise ratio of a given event scenario. The NSS compares both a hypothetical pure source (for example an explosion or an earthquake) and the actual data with several thousand sets of synthetic data from a uniform distribution of all possible sources. The comparison with a hypothetical pure source provides the theoretically best-constrained source-type region for a given set of stations, and with it one can determine whether further analysis with the data is warranted. The NSS that employs the actual data gives a direct comparison of all other source-types with the best-fit source. In this way, one can choose a threshold level of fit where the solution is comfortably constrained. The method is tested for the well-recorded nuclear test, JUNCTION, at the Nevada Test Site. Sources that fit comparably well to a hypothetical pure explosion recorded with no noise at the JUNCTION data stations have a large volumetric component and are not described well by a double-couple (DC) source. The NSS using the real data from JUNCTION is even more tightly constrained to an explosion since the data contains some energy that precludes fitting with any type of deviatoric source. We also calculate the NSS for the October 2006 North Korea test and a nearby earthquake, where the station coverage is poor and the event magnitude is small. The earthquake solution is very well fit by a DC source, and the best-fit solution to the nuclear test (M{sub W}4.1) is dominantly explosion.

  2. Distributed Regional Aerosol Gridded Observation Network (DRAGON) - Korea 2012 campaign

    NASA Astrophysics Data System (ADS)

    Kim, J.; Holben, B. N.; Eck, T. F.; Jeong, U.; Kim, W. V.; Choi, M.; Kim, D. S.; Kim, B.; Kim, S.; Ghim, Y.; Kim, Y. J.; Kim, J. H.; Park, R.; Seo, M.; Song, C.; Yum, S.; Woo, J.; Yoon, S.; Lee, K.; Lee, M.; Lim, J.; Chang, I.; Jeong, M. J.; Bae, M.; Sorokin, M.; Giles, D. M.; Schafer, J.; Herman, J. R.

    2013-12-01

    One of the main objectives of Distributed Regional Aerosol Gridded Observation Network (DRAGON) campaign in Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission is to understand the relationship between the column optical properties of the atmosphere and the surface level air quality in terms of aerosols and gases. Recently, with the cooperative efforts with NASA (National Aeronautics and Space Administration) / GSFC (Goddard Space Flight Center), Korean University research groups, and KME (Korea Ministry of Environment) / NIER (National Institute of Environmental Research), DRAGON-Korea 2012 campaign was successfully performed from March to May 2012. The campaign sites were divided into two groups, the National scale sites and Seoul metropolitan sites. Thirteen Cimel sunphotometers were distributed at National scale sites including two metropolitan cities and several remote sites. Nine Cimel sunphotometers were distributed at Seoul Metropolitan sites including several residential sites and traffic source areas. The measured datasets are being analyzed in diverse fields of air quality communities including in-situ measurement groups, satellite remote sensing groups, chemical modeling groups, and airplane measurement groups. We will introduce several preliminary results of the analysis and discuss the future planes and corporations in Korea.

  3. Modeling region-based interconnection for interdependent networks

    NASA Astrophysics Data System (ADS)

    Wang, Xiangrong; Kooij, Robert E.; Van Mieghem, Piet

    2016-10-01

    Various real-world networks interact with and depend on each other. The design of the interconnection between interacting networks is one of the main challenges to achieve a robust interdependent network. Due to cost considerations, network providers are inclined to interconnect nodes that are geographically close. Accordingly, we propose two topologies, the random geographic graph and the relative neighborhood graph, for the design of interconnection in interdependent networks that incorporates the geographic location of nodes. Differing from the one-to-one interconnection studied in the literature, one node in one network can depend on an arbitrary number of nodes in the other network. We derive the average number of interdependent links for the two topologies, which enables their comparison. For the two topologies, we evaluate the impact of the interconnection structure on the robustness of interdependent networks against cascading failures. The two topologies are assessed on the real-world coupled Italian Internet and the electric transmission network. Finally, we propose the derivative of the largest mutually connected component with respect to the fraction of failed nodes as a robustness metric. This robustness metric quantifies the damage of the network introduced by a small fraction of initial failures well before the critical fraction of failures at which the whole network collapses.

  4. New Intervention Model of Regional Transfer Network System to Alleviate Crowding of Regional Emergency Medical Center

    PubMed Central

    2016-01-01

    Emergency department (ED) crowding is a serious problem in most tertiary hospitals in Korea. Although several intervention models have been established to alleviate ED crowding, they are limited to a single hospital-based approach. This study was conducted to determine whether the new regional intervention model could alleviate ED crowding in a regional emergency medical center. This study was designed as a “before and after study” and included patients who visited the tertiary hospital ED from November 2011 to October 2013. One tertiary hospital and 32 secondary hospitals were included in the study. A transfer coordinator conducted inter-hospital transfers from a tertiary hospital to a secondary hospital for suitable patients. A total of 1,607 and 2,591 patients transferred from a tertiary hospital before and after the study, respectively (P < 0.001). We found that the median ED length of stay (LOS) decreased significantly from 3.68 hours (interquartile range [IQR], 1.85 to 9.73) to 3.20 hours (IQR, 1.62 to 8.33) in the patient group after implementation of the Regional Transfer Network System (RTNS) (P < 0.001). The results of multivariate analysis showed a negative association between implementation of the RTNS and ED LOS (beta coefficient -0.743; 95% confidence interval -0.914 to -0.572; P < 0.001). In conclusion, the ED LOS in the tertiary hospital decreased after implementation of the RTNS. PMID:27134506

  5. NuPyCEE: NuGrid Python Chemical Evolution Environment

    NASA Astrophysics Data System (ADS)

    Ritter, Christian; Côté, Benoit

    2016-10-01

    The NuGrid Python Chemical Evolution Environment (NuPyCEE) simulates the chemical enrichment and stellar feedback of stellar populations. It contains three modules. The Stellar Yields for Galactic Modeling Applications module (SYGMA) models the enrichment and feedback of simple stellar populations which can be included in hydrodynamic simulations and semi-analytic models of galaxies. It is the basic building block of the One-zone Model for the Evolution of GAlaxies (OMEGA) module which allows the modelling of the chemical evolution of galaxies such as the Milky Way and its dwarf satellites. The STELLAB (STELLar ABundances) module provides a library of observed stellar abundances useful for comparing predictions of SYGMA and OMEGA.

  6. Learning in networks: individual teacher learning versus organizational learning in a regional health-promoting schools network.

    PubMed

    Flaschberger, Edith; Gugglberger, Lisa; Dietscher, Christina

    2013-12-01

    To change a school into a health-promoting organization, organizational learning is required. The evaluation of an Austrian regional health-promoting schools network provides qualitative data on the views of the different stakeholders on learning in this network (steering group, network coordinator and representatives of the network schools; n = 26). Through thematic analysis and deep-structure analyses, the following three forms of learning in the network were identified: (A) individual learning through input offered by the network coordination, (B) individual learning between the network schools, i.e. through exchange between the representatives of different schools and (C) learning within the participating schools, i.e. organizational learning. Learning between (B) or within the participating schools (C) seems to be rare in the network; concepts of individual teacher learning are prevalent. Difficulties detected relating to the transfer of information from the network to the member schools included barriers to organizational learning such as the lack of collaboration, coordination and communication in the network schools, which might be effects of the school system in which the observed network is located. To ensure connectivity of the information offered by the network, more emphasis should be put on linking health promotion to school development and the core processes of schools.

  7. Health impact assessment in CEE region: case of the former Czechoslovakia

    SciTech Connect

    Gulis, Gabriel

    2004-02-01

    This paper is based on the author's personnel experience in the Slovak Republic and on information gathered during a health impact assessment (HIA) workshop with participants from Estonia, Bulgaria, Romania and Slovenia. There is a long tradition of health impact assessment in the countries of Central and Eastern Europe. In the former Czechoslovakia, legislation made in 1966, although it did not explicitly mention HIA, provided a legal basis and made the public hygiene service responsible for assessment of health impacts. However, political structures, prevalent values, reliance on limit-based comparisons, and lack of adequate training meant that HIA had little influence on decision making. Political changes since 1990 are allowing development of HIA. This experience highlights the importance of values and methods in undertaking HIA.

  8. Toward Regional Clusters: Networking Events, Collaborative Research, and the Business Finder

    NASA Astrophysics Data System (ADS)

    Reichling, Tim; Moos, Benjamin; Rohde, Markus; Wulf, Volker

    Networks of regionally collocated organizations improve the competitiveness of their member companies. This is not only a result of lower transportation costs when delivering or purchasing physical goods but also other matters such as mutual trust or a higher diffusion of specialized knowledge among companies that have emerged as important aspects of regional networks. Even increased competition among collocated companies can lead to comparative advantages over externals as a result of an increased pressure for innovation. While the reasons why regional networks of companies offer comparative advantages has been widely investigated, the question arises as to how networks can be developed in terms of higher interconnectedness and deeper connections.

  9. Networking for the Region and beyond--Role of the Southeast Asian Geography Association (SEAGA)

    ERIC Educational Resources Information Center

    Ooi, Giok Ling; Goh, Kim Chuan

    2008-01-01

    Networking among geographers in the Southeast Asian region is a challenge because of language and other barriers such as the costs of travel as well as keeping up communications and information flows. This networking effort however, is crucial to research and scholarship on issues that are relevant to the region. Many of these concern sustainable…

  10. Detection of rainfall-induced landslides on regional seismic networks

    NASA Astrophysics Data System (ADS)

    Manconi, Andrea; Coviello, Velio; Gariano, Stefano Luigi; Picozzi, Matteo

    2017-04-01

    Seismic techniques are increasingly adopted to detect signals induced by mass movements and to quantitatively evaluate geo-hydrological hazards at different spatial and temporal scales. By analyzing landslide-induced seismicity, it is possible obtaining significant information on the source of the mass wasting, as well as on its dynamics. However, currently only few studies have performed a systematic back analysis on comprehensive catalogues of events to evaluate the performance of proposed algorithms. In this work, we analyze a catalogue of 1058 landslides induced by rainfall in Italy. Among these phenomena, there are 234 rock falls, 55 debris flows, 54 mud flows, and 715 unspecified shallow landslides. This is a subset of a larger catalogue collected by the Italian research institute for geo-hydrological protection (CNR IRPI) during the period 2000-2014 (Brunetti et al., 2015). For each record, the following information are available: the type of landslide; the geographical location of the landslide (coordinates, site, municipality, province, and 3 classes of geographic accuracy); the temporal information on the landslide occurrence (day, month, year, time, date, and 3 classes of temporal accuracy); the rainfall conditions (rainfall duration and cumulated event rainfall) that have resulted in the landslide. We consider here only rainfall-induced landslides for which exact date and time were known from chronicle information. The analysis of coeval seismic data acquired by regional seismic networks show clear signals in at least 3 stations for 64 events (6% of the total dataset). Among them, 20 are associated to local earthquakes and 2 to teleseisms; 10 are anomalous signals characterized by irregular and impulsive waveforms in both time and frequency domains; 33 signals are likely associated to the landslide occurrence, as they have a cigar-shaped waveform characterized by emerging onsets, duration of several tens of seconds, and low frequencies (1-10 Hz). For

  11. Comparison of sulfur measurements from a regional fine particle network with concurrent acid modes network results

    SciTech Connect

    Bennett, R.L.; Stockburger, L.; Barnes, H.M.

    1994-01-01

    The Fine Particle Network (FPN), a system of fine particle (less than 2.5 micrometers) samplers, was operated at 41 sites selected from the Enviromental Protection Agency Acid MODES program during the two year period in 1988-90. The 24-hour sample results included fine particle mass and the most predominant chemical element concentrations determined by wavelength dispersive x-ray fluorescence analysis. Statistical summaries of the fine mass and sulfur concentrations by site and season were prepared. The availability of simultaneous particulate sulfate measurements from independent collection and analytical procedures provided an opportunity to examine their agreement and provide a more reliable data base for evaluation of regional particulate models and estimation of contribution to urban aerosol concentration.

  12. Network sensitivity solutions for regional moment-tensor inversions

    DOE PAGES

    Ford, Sean R.; Dreger, Douglas S.; Walter, William R.

    2010-09-20

    Well-resolved moment-tensor solutions reveal information about the sources of seismic waves. In this paper,we introduce a newly of assessing confidence in the regional full moment-tensor inversion via the introduction of the network sensitivity solution (NSS). The NSS takes into account the unique station distribution, frequency band, and signal-to-noise ratio of a given event scenario. The NSS compares both a hypothetical pure source (for example, an explosion or an earthquake) and the actual data with several thousand sets of synthetic data from a uniform distribution of all possible sources. The comparison with a hypothetical pure source provides the theoretically best-constrained source-typemore » distribution for a given set of stations; and with it, one can determine whether further analysis with the data is warranted. The NSS that employs the actual data gives a direct comparison of all other source types with the best fit source. In this way, one can choose a threshold level of fit in which the solution is comfortably constrained. The method is tested for the well-recorded nuclear test, JUNCTION, at the Nevada Test Site. Sources that fit comparably well to a hypothetical pure explosion recorded with no noise at the JUNCTION data stations have a large volumetric component and are not described well by a double-couple (DC) source. The NSS using the real data from JUNCTION is even more tightly constrained to an explosion because the data contain some energy that precludes fitting with any type of deviator source. We also calculate the NSS for the October 2006 North Korea test and a nearby earthquake, where the station coverage is poor and the event magnitude is small. As a result, the earthquake solution is very well fit by a DC source, and the best-fit solution to the nuclear test (Mw 4.1) is dominantly explosion.« less

  13. Network sensitivity solutions for regional moment-tensor inversions

    SciTech Connect

    Ford, Sean R.; Dreger, Douglas S.; Walter, William R.

    2010-09-20

    Well-resolved moment-tensor solutions reveal information about the sources of seismic waves. In this paper,we introduce a newly of assessing confidence in the regional full moment-tensor inversion via the introduction of the network sensitivity solution (NSS). The NSS takes into account the unique station distribution, frequency band, and signal-to-noise ratio of a given event scenario. The NSS compares both a hypothetical pure source (for example, an explosion or an earthquake) and the actual data with several thousand sets of synthetic data from a uniform distribution of all possible sources. The comparison with a hypothetical pure source provides the theoretically best-constrained source-type distribution for a given set of stations; and with it, one can determine whether further analysis with the data is warranted. The NSS that employs the actual data gives a direct comparison of all other source types with the best fit source. In this way, one can choose a threshold level of fit in which the solution is comfortably constrained. The method is tested for the well-recorded nuclear test, JUNCTION, at the Nevada Test Site. Sources that fit comparably well to a hypothetical pure explosion recorded with no noise at the JUNCTION data stations have a large volumetric component and are not described well by a double-couple (DC) source. The NSS using the real data from JUNCTION is even more tightly constrained to an explosion because the data contain some energy that precludes fitting with any type of deviator source. We also calculate the NSS for the October 2006 North Korea test and a nearby earthquake, where the station coverage is poor and the event magnitude is small. As a result, the earthquake solution is very well fit by a DC source, and the best-fit solution to the nuclear test (Mw 4.1) is dominantly explosion.

  14. Optical "Turn off" based selective detection and concomitant degradation of 2-chloroethyl ethyl sulfide (CEES) via Mg-porphyrazine complex immobilized on glass.

    PubMed

    Neelam; Singh, Vikram; Gupta, Tarkeshwar

    2014-02-17

    Covalently assembled monolayers (CAMs) of Mg-porphyrazine complex on glass and silicon substrates were fabricated and employed as "Turn off" sensor for ppm level detection and degradation of a sulfur mustard analogue: 2-chloroethyl ethyl sulfide (CEES). The detection process was read-out optically via an off-the-shelf UV/Vis spectrophotometer in transmission mode. Monolayer based sensor system was shown to be quite robust and stable, sufficiently accurate and reversible under given experimental conditions. Notably, the sensor system exhibited marked selectivity for CEES when exposed exclusively or in mix to different potent analytes. Moreover, action of KMnO4 on monolayer-CEES complex lead to CEES degradation and resetting of the sensor to its native state for reuse.

  15. Functional Network Architecture of Reading-Related Regions across Development

    ERIC Educational Resources Information Center

    Vogel, Alecia C.; Church, Jessica A.; Power, Jonathan D.; Miezin, Fran M.; Petersen, Steven E.; Schlaggar, Bradley L.

    2013-01-01

    Reading requires coordinated neural processing across a large number of brain regions. Studying relationships between reading-related regions informs the specificity of information processing performed in each region. Here, regions of interest were defined from a meta-analysis of reading studies, including a developmental study. Relationships…

  16. Functional Network Architecture of Reading-Related Regions across Development

    ERIC Educational Resources Information Center

    Vogel, Alecia C.; Church, Jessica A.; Power, Jonathan D.; Miezin, Fran M.; Petersen, Steven E.; Schlaggar, Bradley L.

    2013-01-01

    Reading requires coordinated neural processing across a large number of brain regions. Studying relationships between reading-related regions informs the specificity of information processing performed in each region. Here, regions of interest were defined from a meta-analysis of reading studies, including a developmental study. Relationships…

  17. Robust network data envelopment analysis approach to evaluate the efficiency of regional electricity power networks under uncertainty

    PubMed Central

    Sadjadi, Seyed Jafar

    2017-01-01

    In this paper, new Network Data Envelopment Analysis (NDEA) models are developed to evaluate the efficiency of regional electricity power networks. The primary objective of this paper is to consider perturbation in data and develop new NDEA models based on the adaptation of robust optimization methodology. Furthermore, in this paper, the efficiency of the entire networks of electricity power, involving generation, transmission and distribution stages is measured. While DEA has been widely used to evaluate the efficiency of the components of electricity power networks during the past two decades, there is no study to evaluate the efficiency of the electricity power networks as a whole. The proposed models are applied to evaluate the efficiency of 16 regional electricity power networks in Iran and the effect of data uncertainty is also investigated. The results are compared with the traditional network DEA and parametric SFA methods. Validity and verification of the proposed models are also investigated. The preliminary results indicate that the proposed models were more reliable than the traditional Network DEA model. PMID:28953900

  18. A constrained evolutionary computation method for detecting controlling regions of cortical networks.

    PubMed

    Tang, Yang; Wang, Zidong; Gao, Huijun; Swift, Stephen; Kurths, Jürgen

    2012-01-01

    Controlling regions in cortical networks, which serve as key nodes to control the dynamics of networks to a desired state, can be detected by minimizing the eigenratio R and the maximum imaginary part \\sigma of an extended connection matrix. Until now, optimal selection of the set of controlling regions is still an open problem and this paper represents the first attempt to include two measures of controllability into one unified framework. The detection problem of controlling regions in cortical networks is converted into a constrained optimization problem (COP), where the objective function R is minimized and \\sigma is regarded as a constraint. Then, the detection of controlling regions of a weighted and directed complex network (e.g., a cortical network of a cat), is thoroughly investigated. The controlling regions of cortical networks are successfully detected by means of an improved dynamic hybrid framework (IDyHF). Our experiments verify that the proposed IDyHF outperforms two recently developed evolutionary computation methods in constrained optimization field and some traditional methods in control theory as well as graph theory. Based on the IDyHF, the controlling regions are detected in a microscopic and macroscopic way. Our results unveil the dependence of controlling regions on the number of driver nodes l and the constraint r. The controlling regions are largely selected from the regions with a large in-degree and a small out-degree. When r=+ \\infty, there exists a concave shape of the mean degrees of the driver nodes, i.e., the regions with a large degree are of great importance to the control of the networks when l is small and the regions with a small degree are helpful to control the networks when l increases. When r=0, the mean degrees of the driver nodes increase as a function of l. We find that controlling \\sigma is becoming more important in controlling a cortical network with increasing l. The methods and results of detecting controlling

  19. Protection against 2-chloroethyl ethyl sulfide (CEES) - induced cytotoxicity in human keratinocytes by an inducer of the glutathione detoxification pathway

    SciTech Connect

    Abel, Erika L.; Bubel, Jennifer D.; Simper, Melissa S.; Powell, Leslie; McClellan, S. Alex; Andreeff, Michael; MacLeod, Michael C.; DiGiovanni, John

    2011-09-01

    Sulfur mustard (SM or mustard gas) was first used as a chemical warfare agent almost 100 years ago. Due to its toxic effects on the eyes, lungs, and skin, and the relative ease with which it may be synthesized, mustard gas remains a potential chemical threat to the present day. SM exposed skin develops fluid filled bullae resulting from potent cytotoxicity of cells lining the basement membrane of the epidermis. Currently, there are no antidotes for SM exposure; therefore, chemopreventive measures for first responders following an SM attack are needed. Glutathione (GSH) is known to have a protective effect against SM toxicity, and detoxification of SM is believed to occur, in part, via GSH conjugation. Therefore, we screened 6 potential chemopreventive agents for ability to induce GSH synthesis and protect cultured human keratinocytes against the SM analog, 2-chloroethyl ethyl sulfide (CEES). Using NCTC2544 human keratinocytes, we found that both sulforaphane and methyl-2-cyano-3,12-dioxooleana-1,9-dien-28-oate (CDDO-Me) stimulated nuclear localization of Nrf2 and induced expression of the GSH synthesis gene, GCLM. Additionally, we found that treatment with CDDO-Me elevated reduced GSH content of NCTC2544 cells and preserved their viability by {approx} 3-fold following exposure to CEES. Our data also suggested that CDDO-Me may act additively with 2,6-dithiopurine (DTP), a nucleophilic scavenging agent, to increase the viability of keratinocytes exposed to CEES. These results suggest that CDDO-Me is a promising chemopreventive agent for SM toxicity in the skin. - Highlights: > CDDO-Me treatment increased intracellular GSH in human keratinocytes. > CDDO-Me increased cell viability following exposure to the half-mustard, CEES. > The cytoprotective effect of CDDO-Me was likely due to scavenging with endogenous GSH.

  20. Centrifugation shearing exposes filamentous networks in cortical regions of crane-fly spermatocytes

    PubMed Central

    1982-01-01

    Spermatocytes of the crane-fly, Nephrotoma suturalis, were attached to electron microscope grids and then sheared by applying centrifugal force. Transmission electron microscopy of exposed regions of the cell cortex revealed networks containing arrays of filamentous structures. Networks were present in sheared spermatocytes at all stages of meiosis. The networks of dividing spermatocytes (meta- through telophase) were denser and appeared to contain more aggregated material then networks of prophase cells. The appearance of networks in spermatocytes resembled actin-containing networks of sheared and detergent-extracted human erythrocytes. Networks treated with myosin subfragment 1 under conditions in which muscle F-actin was clearly decorated were not distinguishable from those of untreated cells. Exposure to deoxyribonuclease-1 caused the disruption of networks in sheared spermatocytes as well as in erythrocytes. The results of deoxyribonuclease experiments are interpreted as an indication that actin is a component of the cell cortex in crane-fly spermatocytes. PMID:6214561

  1. Regional information network systems on Scientific research - two examples of Ishikawa and Toyama

    NASA Astrophysics Data System (ADS)

    Okuma, Kenji

    Science and Technology Agency has been promoting regional information network systems on scientific research. The common purpose of the systems is to enhance good communications among various researchers in regions as well as between researchers in Tsukuba and researchers in regions, and accordingly to contribute to the evolution of the regional R&D. These network systems with the help of the pursonal computor communication system have been carried out as prototypes since 1988, in not only Tsukuba area, but four other regions. Two of them are in Ishikawa prefecture and Toyama prefecture. The situations and details of the two are explained.

  2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

    PubMed

    Ren, Shaoqing; He, Kaiming; Girshick, Ross; Sun, Jian

    2017-06-01

    State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet [1] and Fast R-CNN [2] have reduced the running time of these detection networks, exposing region proposal computation as a bottleneck. In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals. An RPN is a fully convolutional network that simultaneously predicts object bounds and objectness scores at each position. The RPN is trained end-to-end to generate high-quality region proposals, which are used by Fast R-CNN for detection. We further merge RPN and Fast R-CNN into a single network by sharing their convolutional features-using the recently popular terminology of neural networks with 'attention' mechanisms, the RPN component tells the unified network where to look. For the very deep VGG-16 model [3] , our detection system has a frame rate of 5 fps (including all steps) on a GPU, while achieving state-of-the-art object detection accuracy on PASCAL VOC 2007, 2012, and MS COCO datasets with only 300 proposals per image. In ILSVRC and COCO 2015 competitions, Faster R-CNN and RPN are the foundations of the 1st-place winning entries in several tracks. Code has been made publicly available.

  3. Data Communications and Networking. Curriculum Improvement Project. Region II.

    ERIC Educational Resources Information Center

    Easter, Diane

    This course curriculum is intended for use by community college instructors and administrators in implementing a data communications networking course. A student course syllabus provides this information: credit hours, catalog description, prerequisites, required text, instructional process, objectives, student evaluation, and class schedule. A…

  4. A Comparative Analysis of Five Regional Reference and Information Networks.

    ERIC Educational Resources Information Center

    Spicer, Michael W.

    Increasing demands for more information more quickly has called into serious question the traditionally fragmented nature of library service by creating a need for greater interlibrary cooperation. Libraries have responded to this need by the formation of networks which are nothing more nor less than a formalized tool for interlibrary cooperation.…

  5. Shared visions: Partnership of Rockwell International and NASA Cost Effectiveness Enhancements (CEE) for the space shuttle system integration program

    NASA Astrophysics Data System (ADS)

    Bejmuk, Bohdan I.; Williams, Larry

    As a result of limited resources and tight fiscal constraints over the past several years, the defense and aerospace industries have experienced a downturn in business activity. The impact of fewer contracts being awarded has placed a greater emphasis for effectiveness and efficiency on industry contractors. It is clear that a reallocation of resources is required for America to continue to lead the world in space and technology. The key to technological and economic survival is the transforming of existing programs, such as the Space Shuttle Program, into more cost efficient programs so as to divert the savings to other NASA programs. The partnership between Rockwell International and NASA and their joint improvement efforts that resulted in significant streamlining and cost reduction measures to Rockwell International Space System Division's work on the Space Shuttle System Integration Contract is described. This work was a result of an established Cost Effectiveness Enhancement (CEE) Team formed initially in Fiscal Year 1991, and more recently expanded to a larger scale CEE Initiative in 1992. By working closely with the customer in agreeing to contract content, obtaining management endorsement and commitment, and involving the employees in total quality management (TQM) and continuous improvement 'teams,' the initial annual cost reduction target was exceeded significantly. The CEE Initiative helped reduce the cost of the Shuttle Systems Integration contract while establishing a stronger program based upon customer needs, teamwork, quality enhancements, and cost effectiveness. This was accomplished by systematically analyzing, challenging, and changing the established processes, practices, and systems. This examination, in nature, was work intensive due to the depth and breadth of the activity. The CEE Initiative has provided opportunities to make a difference in the way Rockwell and NASA work together - to update the methods and processes of the organizations

  6. Shared visions: Partnership of Rockwell International and NASA Cost Effectiveness Enhancements (CEE) for the space shuttle system integration program

    NASA Technical Reports Server (NTRS)

    Bejmuk, Bohdan I.; Williams, Larry

    1992-01-01

    As a result of limited resources and tight fiscal constraints over the past several years, the defense and aerospace industries have experienced a downturn in business activity. The impact of fewer contracts being awarded has placed a greater emphasis for effectiveness and efficiency on industry contractors. It is clear that a reallocation of resources is required for America to continue to lead the world in space and technology. The key to technological and economic survival is the transforming of existing programs, such as the Space Shuttle Program, into more cost efficient programs so as to divert the savings to other NASA programs. The partnership between Rockwell International and NASA and their joint improvement efforts that resulted in significant streamlining and cost reduction measures to Rockwell International Space System Division's work on the Space Shuttle System Integration Contract is described. This work was a result of an established Cost Effectiveness Enhancement (CEE) Team formed initially in Fiscal Year 1991, and more recently expanded to a larger scale CEE Initiative in 1992. By working closely with the customer in agreeing to contract content, obtaining management endorsement and commitment, and involving the employees in total quality management (TQM) and continuous improvement 'teams,' the initial annual cost reduction target was exceeded significantly. The CEE Initiative helped reduce the cost of the Shuttle Systems Integration contract while establishing a stronger program based upon customer needs, teamwork, quality enhancements, and cost effectiveness. This was accomplished by systematically analyzing, challenging, and changing the established processes, practices, and systems. This examination, in nature, was work intensive due to the depth and breadth of the activity. The CEE Initiative has provided opportunities to make a difference in the way Rockwell and NASA work together - to update the methods and processes of the organizations

  7. Evaluation of the streamflow-gaging network of Alaska in providing regional streamflow information

    USGS Publications Warehouse

    Brabets, Timothy P.

    1996-01-01

    In 1906, the U.S. Geological Survey (USGS) began operating a network of streamflow-gaging stations in Alaska. The primary purpose of the streamflow- gaging network has been to provide peak flow, average flow, and low-flow characteristics to a variety of users. In 1993, the USGS began a study to evaluate the current network of 78 stations. The objectives of this study were to determine the adequacy of the existing network in predicting selected regional flow characteristics and to determine if providing additional streamflow-gaging stations could improve the network's ability to predict these characteristics. Alaska was divided into six distinct hydrologic regions: Arctic, Northwest, Southcentral, Southeast, Southwest, and Yukon. For each region, historical and current streamflow data were compiled. In Arctic, Northwest, and Southwest Alaska, insufficient data were available to develop regional regression equations. In these areas, proposed locations of streamflow-gaging stations were selected by using clustering techniques to define similar areas within a region and by spatial visual analysis using the precipitation, physiographic, and hydrologic unit maps of Alaska. Sufficient data existed in Southcentral and Southeast Alaska to use generalized least squares (GLS) procedures to develop regional regression equations to estimate the 50-year peak flow, annual average flow, and a low-flow statistic. GLS procedures were also used for Yukon Alaska but the results should be used with caution because the data do not have an adequate spatial distribution. Network analysis procedures were used for the Southcentral, Southeast, and Yukon regions. Network analysis indicates the reduction in the sampling error of the regional regression equation that can be obtained given different scenarios. For Alaska, a 10-year planning period was used. One scenario showed the results of continuing the current network with no additional gaging stations and another scenario showed the results

  8. Metadata Harvesting in Regional Digital Libraries in the PIONIER Network

    ERIC Educational Resources Information Center

    Mazurek, Cezary; Stroinski, Maciej; Werla, Marcin; Weglarz, Jan

    2006-01-01

    Purpose: The paper aims to present the concept of the functionality of metadata harvesting for regional digital libraries, based on the OAI-PMH protocol. This functionality is a part of regional digital libraries platform created in Poland. The platform was required to reach one of main objectives of the Polish PIONIER Programme--to enrich the…

  9. Metadata Harvesting in Regional Digital Libraries in the PIONIER Network

    ERIC Educational Resources Information Center

    Mazurek, Cezary; Stroinski, Maciej; Werla, Marcin; Weglarz, Jan

    2006-01-01

    Purpose: The paper aims to present the concept of the functionality of metadata harvesting for regional digital libraries, based on the OAI-PMH protocol. This functionality is a part of regional digital libraries platform created in Poland. The platform was required to reach one of main objectives of the Polish PIONIER Programme--to enrich the…

  10. Report: Results of Technical Network Vulnerability Assessment: EPA’s Region 4

    EPA Pesticide Factsheets

    Report #10-P-0213, September 7, 2010. Vulnerability testing of EPA’s Region 4 network conducted in June 2010 identified Internet Protocol addresses with numerous high-risk and medium-risk vulnerabilities.

  11. Regional Networks in Education: A Case Study of an Austrian Project

    ERIC Educational Resources Information Center

    Rauch, Franz

    2013-01-01

    This case study presents the development of networks in education, using the Austrian IMST (Innovations Make Schools Top) project as illustration. The regional networks are coordinated in every Austrian federal province by groups made up of teachers, representatives of the educational authorities, and members of academia. In the framework of the…

  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. The structural robustness of geographical networks against regional failure and their pre-optimization

    NASA Astrophysics Data System (ADS)

    Li, Yixiao; Zhang, Lin; Huang, Chaogeng; Shen, Bin

    2016-06-01

    Failures of real-world infrastructure networks due to natural disasters often originate in a certain region, but this feature has seldom been considered in theoretical models. In this article, we introduce a possible failure pattern of geographical networks-"regional failure"-by which nodes and edges within a region malfunction. Based on a previous spatial network model (Louf et al., 2013), we study the robustness of geographical networks against regional failure, which is measured by the fraction of nodes that remain in the largest connected component, via simulations. A small-area failure results in a large reduction of their robustness measure. Furthermore, we investigate two pre-deployed mechanisms to enhance their robustness: One is to extend the cost-benefit growth mechanism of the original network model by adding more than one link in a growth step, and the other is to strengthen the interconnection of hubs in generated networks. We measure the robustness-enhancing effects of both mechanisms on the basis of their costs, i.e., the amount of excessive links and the induced geographical length. The latter mechanism is better than the former one if a normal level of costs is considered. When costs exceed a certain level, the former has an advantage. Because the costs of excessive links affect the investment decision of real-world infrastructure networks, it is practical to enhance their robustness by adding more links between hubs. These results might help design robust geographical networks economically.

  14. A regional EUS service using a collaborative network.

    PubMed

    Gordon, H M; Lloyd, D A J; Higginson, A; McCrudden, R; Bent, C; Shek, F W; Beable, R; Al-Badri, A; Green, B; Jaynes, E; Foria, B; Stacey, B S F

    2017-01-01

    Endoscopic ultrasound (EUS) is increasingly used in the management of hepatobiliary lesions, allowing staging and tissue acquisition. It is operator-dependent, and fine needle aspiration (FNA) of solid lesions provides an auditable standard; high-volume centres have shown excellent results for solid pancreatic lesion FNA with sensitivities of 92%-97%. The British Society of Gastroenterology guidelines stress that clinical quality should determine service provision, with geographical accessibility a secondary consideration. We set up the Wessex EUS network, working from a single hepatobiliary (HPB) pancreatic multidisciplinary team, with EUS provided in four local centres providing agreed standards and audit. Pancreatic solid lesion FNA results showed a pooled sensitivity of 94%, comparable with high-volume single centres. This demonstrates a network with good clinical governance is a plausible solution to providing a specialist service such as EUS and may be a roadmap that other specialist services under pressure could follow.

  15. Analysis of Swine Movement in Four Canadian Regions: Network Structure and Implications for Disease Spread.

    PubMed

    Thakur, K K; Revie, C W; Hurnik, D; Poljak, Z; Sanchez, J

    2016-02-01

    Direct and indirect contacts among animal holdings are important in the spread of infectious diseases. The objectives of this study were to describe networks of pig movements and the sharing of trucks used for those movements between swine farms in four Canadian regions using network analysis tools and to obtain contact parameters for infectious disease spread simulation models. Four months of swine movement data from a pilot pig traceability programme were used. Two types of networks were created using three time scales (weekly, monthly and the full study period): one-mode networks of farm-to-farm direct contact representing animal shipments and two-mode networks representing the sharing of trucks between farms. Contact patterns among farms were described by estimating a range of relevant network measures. The overall network neglecting the four regions consisted of 145 farms, which were connected by 261 distinct links. A total of 184 trucks were used to transport 2043 shipments of pigs during the study period. The median in- and out-degree for the overall one-mode network was 1 and ranged from 0 to 26 and 0 to 10, respectively. The overall one-mode network had heterogeneous degree distribution, a high clustering coefficient and shorter average path length than would be expected for randomly generated networks of similar size. On average one truck was shared by four farms in the overall network, or by three farms when considered the monthly and weekly networks. Degree distribution of the two-mode overall network demonstrated characteristics of power-law distribution. For more than 50% of shipments on any given day, the same truck was used for at least one other shipment. Findings from this study are in agreement with previous work, which suggested that swine movement networks exhibit small-world and scale-free topologies. Furthermore, trucks used for the shipment of pigs can play an important role in connecting otherwise unconnected farms and may increase the

  16. Regional myocardial flow heterogeneity explained with fractal networks

    PubMed Central

    VAN BEEK, JOHANNES H. G. M.; ROGER, STEPHEN A.; BASSINGTHWAIGHTE, JAMES B.

    2010-01-01

    There is explain how the distribution of flow broadens with an increase in the spatial resolution of the measurement, we developed fractal models for vascular networks. A dichotomous branching network of vessels represents the arterial tree and connects to a similar venous network. A small difference in vessel lengths and radii between the two daughter vessels, with the same degree of asymmetry at each branch generation, predicts the dependence of the relative dispersion (mean ± SD) on spatial resolution of the perfusion measurement reasonably well. When the degree of asymmetry increases with successive branching, a better fit to data on sheep and baboons results. When the asymmetry is random, a satisfactory fit is found. These models show that a difference in flow of 20% between the daughter vessels at a branch point gives a relative dispersion of flow of ~30% when the heart is divided into 100–200 pieces. Although these simple models do not represent anatomic features accurately, they provide valuable insight on the heterogeneity of flow within the heart. PMID:2589520

  17. A Regional health care network: eHealth.Braunschweig. Domain fields and architectural challenges.

    PubMed

    Gusew, N; Bartkiewicz, T; Bautsch, W; Gerlach, A; Goldapp, M; Haux, R; Heller, U; Kierdorf, H P; Kleinschmidt, T; Ludwig, W; Markurth, U; Pfingsten-Würzburg, S; Plischke, M; Reilmann, H; Schubert, R; Seidel, C; Warnke, R

    2012-01-01

    Health care network eHealth.Braunschweig has been started in the South-East region of Lower Saxony in Germany in 2009. It composes major health care players, participants from research institutions and important local industry partners. The objective of this paper is firstly to describe the relevant regional characteristics and distinctions of the eHealth.Braunschweig health care network and to inform about the goals and structure of eHealth.Braunschweig; secondly to picture and discuss the main concepts and domain fields which are addressed in the health care network; and finally to discuss the architectural challenges of eHealth.Braunschweig regarding the addressed domain fields and defined requirements. Based on respective literature and former conducted projects we discuss the project structure and goals of eHealth.Braunschweig, depict major domain fields and requirements gained in workshops with participants and discuss the architectural challenges as well as the architectural approach of eHealth.Braunschweig network. The regional healthcare network eHealth.Braunschweig has been established in April 2009. Since then the network has grown constantly and a sufficient progress in network activities has been achieved. The main domain fields have been specified in different workshops with network participants and an architectural realization approach for the transinstitutional information system architecture in the healthcare network has been developed. However, the effects on quality of information processing and quality of patient care have not been proved yet. Systematic evaluation studies have to be done in future in order to investigate the impact of information and communication technology on the quality of information processing and the quality of patient care. In general, the aspects described in this paper are expected to contribute to a systematic approach for the establishment of regional health care networks with lasting and sustainable effects on

  18. Test of the Use of Regional Networks for OPUS Processing

    NASA Astrophysics Data System (ADS)

    Weston, Neil D.; Ray, Jim R.

    2010-05-01

    We investigate the performance of two processing methodologies for the Online Positioning User Service (OPUS), a web-based tool to process GPS data offered by the National Geodetic Survey, NOAA. The current operational implementation of OPUS (OPUS-S) uses reference station data from the U.S. National CORS Network and fixed IGS ephemerides to compute independent, double-differenced baseline solutions between the unknown and three neighboring CORS reference stations. All computations use relative antenna patterns, phase ambiguity integer fixing, relative troposphere modeling (GPT and GMF a priori models), and are performed in the ITRF2000 (IGb00) reference frame. The most accurate IGS orbits available at the time of processing are used. Although the three baselines are not strictly independent because of local biases, such as multipath at the rover, the solutions are analyzed to identify problems with any of the baselines before they are averaged to obtain a final set of coordinates and uncertainties. A new OPUS processing methodology has been tested using a network approach (OPUS-Net). Otherwise the analysis models and weighted least squares adjustment method are unchanged, except that models for absolute antenna patterns and ocean tide loading are also implemented. The network consists of a rover, three nearby CORS reference stations, and up to 10 reference stations from the global IGS network (IGS05). The multipliers for the a priori weights for the CORS and IGS reference station monument sigmas (meters) in the adjustment are 0.1 and 1000.0 respectively, mainly because the coordinates and velocities for the IGS05 stations are much more precisely known and monitored. To evaluate the positioning performance of the two OPUS approaches, GPS reference station data from three CORS stations (azco, brew, p036) were used as rovers. Approximately 360 daily datasets from each of the three stations collected in 2008 were submitted to each OPUS version for processing. The

  19. [Network Analyses in Regional Health Care Research: Example of Dermatological Care in the Metropolitan Region of Hamburg].

    PubMed

    Augustin, J; Austermann, J; Erasmi, S

    2016-10-18

    Background: One of the overall objectives of the legislator is to ensure an overall "homogeneous", and easily accessible medical care for the population. The physician-patient ratio can be used to describe the regional health care situation. But this method does not provide information concerning the availability of, for instance, the nearest doctor. Therefore, further parameters such as accessibility must be taken into consideration. For this purpose, network analyses are an appropriate method. The objective of this study is to present methodological tools to evaluate the healthcare situation in the metropolitan region of Hamburg, primarily focusing on accessibility using dermatologists as an example. Methods: Analyzing data of 20 counties, the geographical distribution of N=357 dermatologists and the physician-patient ratio were calculated. In a second step, a network analysis regarding accessibility was performed. In order to calculate accessibility, address data (physicians) were transformed into coordinates, consisting of defined places (N=303) and restrictions (e. g. speed, turn restrictions) of the network. The calculation of population-based accessibility is based on grid cells for the population density. Results: Despite adequacy of the overall medical situation, differences in the availability of the nearest dermatologists in the metropolitan region are remarkable, particularly when use of public transport is taken into consideration. In some counties, over 60% of the population require at least one hour to get to the nearest dermatologist using public transportation. In rural regions within the metropolitan area are particularly affected. Conclusion: The network analysis has shown that the choice and availability of transportation in combination with the location (rural/urban) is essential for health care access. Especially elderly people in rural areas with restricted mobility are at a disadvantage. Therefore, modern health care approaches (e

  20. Using Social Network Analysis to Evaluate Community Capacity Building of a Regional Community Cancer Network

    ERIC Educational Resources Information Center

    Luque, John; Tyson, Dinorah Martinez; Lee, Ji-Hyun; Gwede, Clement; Vadaparampil, Susan; Noel-Thomas, Shalewa; Meade, Cathy

    2010-01-01

    The Tampa Bay Community Cancer Network (TBCCN) is one of 25 Community Network Programs funded by the National Cancer Institute's (NCI's) Center to Reduce Cancer Health Disparities with the objectives to create a collaborative infrastructure of academic and community based organizations and to develop effective and sustainable interventions to…

  1. Using Social Network Analysis to Evaluate Community Capacity Building of a Regional Community Cancer Network

    ERIC Educational Resources Information Center

    Luque, John; Tyson, Dinorah Martinez; Lee, Ji-Hyun; Gwede, Clement; Vadaparampil, Susan; Noel-Thomas, Shalewa; Meade, Cathy

    2010-01-01

    The Tampa Bay Community Cancer Network (TBCCN) is one of 25 Community Network Programs funded by the National Cancer Institute's (NCI's) Center to Reduce Cancer Health Disparities with the objectives to create a collaborative infrastructure of academic and community based organizations and to develop effective and sustainable interventions to…

  2. Aberrant Global and Regional Topological Organization of the Fractional Anisotropy-weighted Brain Structural Networks in Major Depressive Disorder

    PubMed Central

    Chen, Jian-Huai; Yao, Zhi-Jian; Qin, Jiao-Long; Yan, Rui; Hua, Ling-Ling; Lu, Qing

    2016-01-01

    Background: Most previous neuroimaging studies have focused on the structural and functional abnormalities of local brain regions in major depressive disorder (MDD). Moreover, the exactly topological organization of networks underlying MDD remains unclear. This study examined the aberrant global and regional topological patterns of the brain white matter networks in MDD patients. Methods: The diffusion tensor imaging data were obtained from 27 patients with MDD and 40 healthy controls. The brain fractional anisotropy-weighted structural networks were constructed, and the global network and regional nodal metrics of the networks were explored by the complex network theory. Results: Compared with the healthy controls, the brain structural network of MDD patients showed an intact small-world topology, but significantly abnormal global network topological organization and regional nodal characteristic of the network in MDD were found. Our findings also indicated that the brain structural networks in MDD patients become a less strongly integrated network with a reduced central role of some key brain regions. Conclusions: All these resulted in a less optimal topological organization of networks underlying MDD patients, including an impaired capability of local information processing, reduced centrality of some brain regions and limited capacity to integrate information across different regions. Thus, these global network and regional node-level aberrations might contribute to understanding the pathogenesis of MDD from the view of the brain network. PMID:26960371

  3. Future planning: default network activity couples with frontoparietal control network and reward-processing regions during process and outcome simulations.

    PubMed

    Gerlach, Kathy D; Spreng, R Nathan; Madore, Kevin P; Schacter, Daniel L

    2014-12-01

    We spend much of our daily lives imagining how we can reach future goals and what will happen when we attain them. Despite the prevalence of such goal-directed simulations, neuroimaging studies on planning have mainly focused on executive processes in the frontal lobe. This experiment examined the neural basis of process simulations, during which participants imagined themselves going through steps toward attaining a goal, and outcome simulations, during which participants imagined events they associated with achieving a goal. In the scanner, participants engaged in these simulation tasks and an odd/even control task. We hypothesized that process simulations would recruit default and frontoparietal control network regions, and that outcome simulations, which allow us to anticipate the affective consequences of achieving goals, would recruit default and reward-processing regions. Our analysis of brain activity that covaried with process and outcome simulations confirmed these hypotheses. A functional connectivity analysis with posterior cingulate, dorsolateral prefrontal cortex and anterior inferior parietal lobule seeds showed that their activity was correlated during process simulations and associated with a distributed network of default and frontoparietal control network regions. During outcome simulations, medial prefrontal cortex and amygdala seeds covaried together and formed a functional network with default and reward-processing regions. © The Author (2014). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  4. Functional connectivity analysis using whole brain and regional network metrics in MS patients.

    PubMed

    Chirumamilla, V C; Fleischer, V; Droby, A; Anjum, T; Muthuraman, M; Zipp, F; Groppa, S

    2016-08-01

    In the present study we investigated brain network connectivity differences between patients with relapsing-remitting multiple sclerosis (RRMS) and healthy controls (HC) as derived from functional resonance magnetic imaging (fMRI) using graph theory. Resting state fMRI data of 18 RRMS patients (12 female, mean age ± SD: 42 ± 12.06 years) and 25 HC (8 female, 29.2 ± 5.38 years) were analyzed. In order to obtain information of differences in entire brain network, we focused on both, local and global network connectivity parameters. And the regional connectivity differences were assessed using regional network parameters. RRMS patients presented a significant increase of modularity in comparison to HC, pointing towards a network structure with densely interconnected nodes within one module, while the number of connections with other modules outside decreases. This higher decomposable network favours cost-efficient local information processing and promotes long-range disconnection. In addition, at the regional anatomical level, the network parameters clustering coefficient and local efficiency were increased in the insula, the superior parietal gyrus and the temporal pole. Our study indicates that modularity as derived from fMRI can be seen as a characteristic connectivity feature that is increased in MS patients compared to HC. Furthermore, specific anatomical regions linked to perception, motor function and cognition were mainly involved in the enhanced local information processing.

  5. The Ordered Network Structure and Prediction Summary for M≥7 Earthquakes in Xinjiang Region of China

    NASA Astrophysics Data System (ADS)

    Men, Ke-Pei; Zhao, Kai

    2014-12-01

    M ≥7 earthquakes have showed an obvious commensurability and orderliness in Xinjiang of China and its adjacent region since 1800. The main orderly values are 30 a × k (k = 1,2,3), 11 ~ 12 a, 41 ~ 43 a, 18 ~ 19 a, and 5 ~ 6 a. In the guidance of the information forecasting theory of Wen-Bo Weng, based on previous research results, combining ordered network structure analysis with complex network technology, we focus on the prediction summary of M ≥ 7 earthquakes by using the ordered network structure, and add new information to further optimize network, hence construct the 2D- and 3D-ordered network structure of M ≥ 7 earthquakes. In this paper, the network structure revealed fully the regularity of seismic activity of M ≥ 7 earthquakes in the study region during the past 210 years. Based on this, the Karakorum M7.1 earthquake in 1996, the M7.9 earthquake on the frontier of Russia, Mongol, and China in 2003, and two Yutian M7.3 earthquakes in 2008 and 2014 were predicted successfully. At the same time, a new prediction opinion is presented that the future two M ≥ 7 earthquakes will probably occur around 2019 - 2020 and 2025 - 2026 in this region. The results show that large earthquake occurred in defined region can be predicted. The method of ordered network structure analysis produces satisfactory results for the mid-and-long term prediction of M ≥ 7 earthquakes.

  6. The role of personal social networks on health inequalities across European regions.

    PubMed

    Craveiro, Daniela

    2017-03-01

    The role of personal social networks on health inequalities is little understood. Theoretically, the characteristics of social network features can contribute to, both, increase and attenuate health inequalities. Few empirical studies that focus on the interaction between socioeconomic position and social networks provide little insight on the topic. Using data from the Survey of Health, Ageing and Retirement in Europe, this study analyses the moderation role of personal social networks on health inequalities in later life among northern, central, and southern European regions. Social advantages of higher socioeconomic individuals are re-enforced by the quality of social connections and the provision of social support. In turn, health inequality is attenuated by marital partnership and participation on social activities that benefits more the health of people at lower socioeconomic positions. Furthermore, results suggest that the influence of social network features on health inequalities is shaped by regions' different policy commitments to familiarization/defamilialization pressures.

  7. Circuit-wide transcriptional profiling reveals brain region-specific gene networks regulating depression susceptibility

    PubMed Central

    Bagot, Rosemary C.; Cates, Hannah M.; Purushothaman, Immanuel; Lorsch, Zachary S.; Walker, Deena M.; Wang, Junshi; Huang, Xiaojie; Schlüter, Oliver M.; Maze, Ian; Peña, Catherine J.; Heller, Elizabeth A.; Issler, Orna; Wang, Minghui; Song, Won-min; Stein, Jason. L.; Liu, Xiaochuan; Doyle, Marie A.; Scobie, Kimberly N.; Sun, Hao Sheng; Neve, Rachael L.; Geschwind, Daniel; Dong, Yan; Shen, Li; Zhang, Bin; Nestler, Eric J.

    2016-01-01

    Summary Depression is a complex, heterogeneous disorder and a leading contributor to the global burden of disease. Most previous research has focused on individual brain regions and genes contributing to depression. However, emerging evidence in humans and animal models suggests that dysregulated circuit function and gene expression across multiple brain regions drive depressive phenotypes. Here we performed RNA-sequencing on 4 brain regions from control animals and those susceptible or resilient to chronic social defeat stress at multiple time points. We employed an integrative network biology approach to identify transcriptional networks and key driver genes that regulate susceptibility to depressive-like symptoms. Further, we validated in vivo several key drivers and their associated transcriptional networks that regulate depression susceptibility and confirmed their functional significance at the levels of gene transcription, synaptic regulation and behavior. Our study reveals novel transcriptional networks that control stress susceptibility and offers fundamentally new leads for antidepressant drug discovery. PMID:27181059

  8. Neural network based approach for anomaly detection in the lungs region by electrical impedance tomography.

    PubMed

    Minhas, Atul S; Reddy, M Ramasubba

    2005-08-01

    In this paper, we have shown a simple procedure to detect anomalies in the lungs region by electrical impedance tomography. The main aim of the present study is to investigate the possibility of anomaly detection by using neural networks. Radial basis function neural networks are used as classifiers to classify the anomaly as belonging to the anterior or posterior region of the left lung or the right lung. The neural networks are trained and tested with the simulated data obtained by solving the mathematical model equation governing current flow through the simulated thoracic region. The equation solution and model simulation are done with FEMLAB. The effect of adding a higher number of neurons to the hidden layer can be clearly seen by the reduction in classification error. The study shows that there is interaction between the size (radius) and conductivity of anomalies and for some combination of these two factors the classification error of neural networks will be very small.

  9. Implementation and Integration of Regional Health Care Data Networks in the Hellenic National Health Service

    PubMed Central

    Vidalis, Ioannis; Papanikolaou, Christos; Vagelatos, Aristides

    2002-01-01

    Background Modern health care is provided with close cooperation among many different institutions and professionals, using their specialized expertise in a common effort to deliver best-quality and, at the same time, cost-effective services. Within this context of the growing need for information exchange, the demand for realization of data networks interconnecting various health care institutions at a regional level, as well as a national level, has become a practical necessity. Objectives To present the technical solution that is under consideration for implementing and interconnecting regional health care data networks in the Hellenic National Health System. Methods The most critical requirements for deploying such a regional health care data network were identified as: fast implementation, security, quality of service, availability, performance, and technical support. Results The solution proposed is the use of proper virtual private network technologies for implementing functionally-interconnected regional health care data networks. Conclusions The regional health care data network is considered to be a critical infrastructure for further development and penetration of information and communication technologies in the Hellenic National Health System. Therefore, a technical approach was planned, in order to have a fast cost-effective implementation, conforming to certain specifications. PMID:12554551

  10. Using regional bird density distribution models to evaluate protected area networks and inform conservation planning

    Treesearch

    John D. Alexander; Jaime L. Stephens; Sam Veloz; Leo Salas; Josée S. Rousseau; C. John Ralph; Daniel A. Sarr

    2017-01-01

    As data about populations of indicator species become available, proactive strategies that improve representation of biological diversity within protected area networks should consider finer-scaled evaluations, especially in regions identified as important through course-scale analyses. We use density distribution models derived from a robust regional bird...

  11. Regional Network: Seismicity of Asia: and Frequency-Dependent Q.

    DTIC Science & Technology

    1987-02-15

    earth- As part of the India-Asia collision, the Jurassic and quakes re.present a haz.ard to the stability o>f any ray- younger sediments that fill the...Soviet Catalogs for the Kulyab region, mapped on shaded Throughout the Depression, Jurassic evaporites form digital terrain data. (b) Sketch shows salt...18861. B~asin formation in mid- Chashma salt diapir (detail in Fig. 4). Location accii- Jurassic time was followed by the deposition of large racy for

  12. The Study of Development Strategy for Bank Distribution Network through the Analysis of Inter-regional Financial Transaction Network

    NASA Astrophysics Data System (ADS)

    Hong, Jae Weon; Hong, Won Eui; Kwak, Yoon Sik

    This study attempts to shed light on the factors that influence the locations of bank branches in establishing a bank's distribution network from the angle of the network analysis. Whereas the previous studies analyzed the locations of bank branches on the basis of their geographical characteristics and image, the significance of this study rests upon the fact that it endeavors to explore the location factors from a new perspective of the movement path of financial customers. For this analysis, the network between administrative districts, which form the fundamental unit of a location, was analyzed based on the financial transactional data. The important findings of this study are as follows. First, in conformity with the previous studies, the income level, the spending level, the number of businesses, and the size of workforce in the pertinent region were all found to influence the size of a bank's market. Second, the centrality index extracted from the analysis of the network was found to have a significant effect on the locations of bank branches. In particular, the degree centrality was revealed to have a greater influence on the size of a bank's market than does the closeness centrality. Such results of this study clearly suggest the needs for a new approach from the perspective of network in furtherance of other factors that have been considered important in the previous studies of the distribution network strategies.

  13. USING SOCIAL NETWORK ANALYSIS TO EVALUATE COMMUNITY CAPACITY BUILDING OF A REGIONAL COMMUNITY CANCER NETWORK

    PubMed Central

    Luque, John; Tyson, Dinorah Martinez; Lee, Ji-Hyun; Gwede, Clement; Vadaparampil, Susan; Noel-Thomas, Shalewa; Meade, Cathy

    2013-01-01

    The Tampa Bay Community Cancer Network (TBCCN) is one of 25 Community Network Programs funded by the National Cancer Institute’s (NCI’s) Center to Reduce Cancer Health Disparities with the objectives to create a collaborative infrastructure of academic and community based organizations and to develop effective and sustainable interventions to reduce cancer health disparities. In order to describe the network characteristics of the TBCCN as part of our ongoing evaluation efforts, we conducted social network analysis surveys with our community partners in 2007 and 2008. One key finding showed that the mean trust value for the 20 community partners in the study increased from 1.8 to 2.1 (p<0.01), suggesting a trend toward increased trust in the network. These preliminary results suggest that TBCCN has led to greater collaboration among the community partners that were formed through its capacity-building and evidence-based dissemination activities for impacting cancer health disparities at the community level. PMID:24049217

  14. Assessing Needs and Assets for Building a Regional Network Infrastructure to Reduce Cancer Related Health Disparities

    PubMed Central

    Wells, Kristen J.; Lima, Diana S.; Meade, Cathy D.; Muñoz-Antonia, Teresita; Scarinci, Isabel; McGuire, Allison; Gwede, Clement K.; Pledger, W. Jack; Partridge, Edward; Lipscomb, Joseph; Matthews, Roland; Matta, Jaime; Flores, Idhaliz; Weiner, Roy; Turner, Timothy; Miele, Lucio; Wiese, Thomas E.; Fouad, Mona; Moreno, Carlos S.; Lacey, Michelle; Christie, Debra W.; Price-Haywood, Eboni G.; Quinn, Gwendolyn P.; Coppola, Domenico; Sodeke, Stephen O.; Green, B. Lee; Lichtveld, Maureen Y.

    2015-01-01

    Significant cancer health disparities exist in the United States and Puerto Rico. While numerous initiatives have been implemented to reduce cancer disparities, regional coordination of these efforts between institutions is often limited. To address cancer health disparities nationwide, a series of regional transdisciplinary networks through the Geographic Management Program (GMaP) and the Minority Biospecimen/Biobanking Geographic Management Program (BMaP) were established in six regions across the country. This paper describes the development of the Region 3 GMaP/BMaP network composed of over 100 investigators from nine institutions in five Southeastern states and Puerto Rico to develop a state-of-the-art network for cancer health disparities research and training. We describe a series of partnership activities that led to the formation of the infrastructure for this network, recount the participatory processes utilized to develop and implement a needs and assets assessment and implementation plan, and describe our approach to data collection. Completion, by all nine institutions, of the needs and assets assessment resulted in several beneficial outcomes for Region 3 GMaP/BMaP. This network entails ongoing commitment from the institutions and institutional leaders, continuous participatory and engagement activities, and effective coordination and communication centered on team science goals. PMID:24486917

  15. Assessing needs and assets for building a regional network infrastructure to reduce cancer related health disparities.

    PubMed

    Wells, Kristen J; Lima, Diana S; Meade, Cathy D; Muñoz-Antonia, Teresita; Scarinci, Isabel; McGuire, Allison; Gwede, Clement K; Pledger, W Jack; Partridge, Edward; Lipscomb, Joseph; Matthews, Roland; Matta, Jaime; Flores, Idhaliz; Weiner, Roy; Turner, Timothy; Miele, Lucio; Wiese, Thomas E; Fouad, Mona; Moreno, Carlos S; Lacey, Michelle; Christie, Debra W; Price-Haywood, Eboni G; Quinn, Gwendolyn P; Coppola, Domenico; Sodeke, Stephen O; Green, B Lee; Lichtveld, Maureen Y

    2014-06-01

    Significant cancer health disparities exist in the United States and Puerto Rico. While numerous initiatives have been implemented to reduce cancer disparities, regional coordination of these efforts between institutions is often limited. To address cancer health disparities nation-wide, a series of regional transdisciplinary networks through the Geographic Management Program (GMaP) and the Minority Biospecimen/Biobanking Geographic Management Program (BMaP) were established in six regions across the country. This paper describes the development of the Region 3 GMaP/BMaP network composed of over 100 investigators from nine institutions in five Southeastern states and Puerto Rico to develop a state-of-the-art network for cancer health disparities research and training. We describe a series of partnership activities that led to the formation of the infrastructure for this network, recount the participatory processes utilized to develop and implement a needs and assets assessment and implementation plan, and describe our approach to data collection. Completion, by all nine institutions, of the needs and assets assessment resulted in several beneficial outcomes for Region 3 GMaP/BMaP. This network entails ongoing commitment from the institutions and institutional leaders, continuous participatory and engagement activities, and effective coordination and communication centered on team science goals. Copyright © 2014 Elsevier Ltd. All rights reserved.

  16. Regional Differences in the Developmental Trajectory of Lateralization of the Language Network

    PubMed Central

    Berl, Madison M.; Mayo, Jessica; Parks, Erin N.; Rosenberger, Lisa R.; VanMeter, John; Ratner, Nan Bernstein; Vaidya, Chandan J.; Gaillard, William Davis

    2012-01-01

    The timing and developmental factors underlying the establishment of language dominance are poorly understood. We investigated the degree of lateralization of traditional fronto-temporal and modulatory prefrontal-cerebellar regions of the distributed language network in children (n=57) ages 4 to 12 – a critical period for language consolidation. We examined the relationship between the strength of language lateralization and neuropsychological measures and task performance. The fundamental language network is established by four with ongoing maturation of language functions as evidenced by strengthening of lateralization in the traditional frontotemporal language regions; temporal regions were strongly and consistently lateralized by seven, while frontal regions had greater variability and were less strongly lateralized through age ten. In contrast, the modulatory prefrontal-cerebellar regions were the least strongly lateralized and degree of lateralization was not associated with age. Stronger core language skills were significantly correlated with greater right lateralization in the cerebellum. PMID:23033058

  17. [Oncolor: a comprehensive cancer network in the Lorraine Region of France].

    PubMed

    Sommelet, Danièle; Bey, Pierre

    2006-02-01

    Legislation governing patients' rights and health care quality (March 2002) provided for the creation of healthcare networks intended to improve the management of patients with complex and/or chronic diseases. As defined in the Cancer Plan, activated in March 2003, an oncological healthcare network covers a particular French region, with the aim of offering patients equal access to the best available care and accompaniment, based on caregiver coordination, shared multidisciplinary tools, and communication. ONCOLOR, the regional cancer network launched in the Lorraine region in 1993, complies with these objectives. Nevertheless, its future development depends on continued dynamism, durable financial support, and regular evaluation of the benefits for patients and caregivers. The key words are professionalism and consensus.

  18. The “Picardie en Forme” Network: Federating Regional Health-enhancing Sports Resources

    PubMed

    Weissland, Thierry; Passavant, Éric; Allal, Aziz; Amiard, Valérie; Antczak, Boris; Manzo, Julie

    2016-06-08

    Initiated by the Regional Olympic and Sports Committee and the Regional Directorate of Youth, Sports and Social Cohesion, the “Picardie en Forme” network has been working since 2011 in favour of adults of all ages, with chronic noncommunicable or similar diseases, to encourage a gradual return to reassuring and perennial regular physical activity,. A first step consisted of organizing a care pathway based on two principles: inform general practitioners so that they can encourage their patients to be physically active by referring them to the network, develop a range of local sports by accrediting certain clubs with sports instructors who have been trained in the management of this specific population. In 2013, 121 users entered the network at the request of 61 doctors. 48 sports instructors were trained and 20 associations obtained the Picardie en Forme label. Comparison of the results of tests performed on entry in the network and then eight months later shows a general physical reconditioning of users, increasing their motivation and perceived physical value. However, despite these encouraging results, the network has difficulty retaining users, and maintaining the involvement of general practitioners and certain local partners. This article discusses the relevance of initial approaches and describes the changes made to sustain this regional network, which, for the first time, links sport, health and users.

  19. Tree-Ring Network and Climate in the Mediterranean Region

    NASA Astrophysics Data System (ADS)

    Touchan, R.; Anchukaitis, K. J.; Shishov, V.; Kerchouche, D.; Sivrikaya, F.; Slimani, S.; Ilmen, R.; Attieh, J.; Stephan, J.; Hasnaoui, F.; Mitsopoulos, I.; Christou, A.; Sesbou, A.; Meko, D. M.; Cook, B.

    2013-12-01

    Drought is a focal point in the assessment of hydroclimatic variability in the Mediterranean Basin. Droughts can have drastic social and economic impacts, particularly in North Africa (NA) and Eastern Mediterranean (EM) where population is increasing rapidly and water supplies are extremely limited. Knowledge of drought variability on time scales of decades to centuries is needed to understand and prepare for dry and wet conditions in the region. Drought-sensitive tree-ring records are a valuable resource for extending knowledge of hydroclimatic variability both in space and time. Here we will discuss the first large scale systematic tree-ring sampling in NA and EM. One-hundred-fifty chronologies have been developed or are being developed. We conducted a site-by-site correlation analysis of each residual ring-width chronology from the EM against local gridded climate data to identify the appropriate hydroclimatic season for developing point-to- point precipitation and drought field reconstruction. The warm season May-July emerges as broadly important to tree-ring chronologies in the EM.

  20. The social network-network: size is predicted by brain structure and function in the amygdala and paralimbic regions.

    PubMed

    Von Der Heide, Rebecca; Vyas, Govinda; Olson, Ingrid R

    2014-12-01

    The social brain hypothesis proposes that the large size of the primate neocortex evolved to support complex and demanding social interactions. Accordingly, recent studies have reported correlations between the size of an individual's social network and the density of gray matter (GM) in regions of the brain implicated in social cognition. However, the reported relationships between GM density and social group size are somewhat inconsistent with studies reporting correlations in different brain regions. One factor that might account for these discrepancies is the use of different measures of social network size (SNS). This study used several measures of SNS to assess the relationships SNS and GM density. The second goal of this study was to test the relationship between social network measures and functional brain activity. Participants performed a social closeness task using photos of their friends and unknown people. Across the VBM and functional magnetic resonance imaging analyses, individual differences in SNS were consistently related to structural and functional differences in three regions: the left amygdala, right amygdala and the right entorhinal/ventral anterior temporal cortex.

  1. The social network-network: size is predicted by brain structure and function in the amygdala and paralimbic regions

    PubMed Central

    Von Der Heide, Rebecca; Vyas, Govinda

    2014-01-01

    The social brain hypothesis proposes that the large size of the primate neocortex evolved to support complex and demanding social interactions. Accordingly, recent studies have reported correlations between the size of an individual’s social network and the density of gray matter (GM) in regions of the brain implicated in social cognition. However, the reported relationships between GM density and social group size are somewhat inconsistent with studies reporting correlations in different brain regions. One factor that might account for these discrepancies is the use of different measures of social network size (SNS). This study used several measures of SNS to assess the relationships SNS and GM density. The second goal of this study was to test the relationship between social network measures and functional brain activity. Participants performed a social closeness task using photos of their friends and unknown people. Across the VBM and functional magnetic resonance imaging analyses, individual differences in SNS were consistently related to structural and functional differences in three regions: the left amygdala, right amygdala and the right entorhinal/ventral anterior temporal cortex. PMID:24493846

  2. Forecasting the daily electricity consumption in the Moscow region using artificial neural networks

    NASA Astrophysics Data System (ADS)

    Ivanov, V. V.; Kryanev, A. V.; Osetrov, E. S.

    2017-07-01

    In [1] we demonstrated the possibility in principle for short-term forecasting of daily volumes of passenger traffic in the Moscow metro with the help of artificial neural networks. During training and predicting, a set of the factors that affect the daily passenger traffic in the subway is passed to the input of the neural network. One of these factors is the daily power consumption in the Moscow region. Therefore, to predict the volume of the passenger traffic in the subway, we must first to solve the problem of forecasting the daily energy consumption in the Moscow region.

  3. Prediction of Biological Motion Perception Performance from Intrinsic Brain Network Regional Efficiency

    PubMed Central

    Wang, Zengjian; Zhang, Delong; Liang, Bishan; Chang, Song; Pan, Jinghua; Huang, Ruiwang; Liu, Ming

    2016-01-01

    Biological motion perception (BMP) refers to the ability to perceive the moving form of a human figure from a limited amount of stimuli, such as from a few point lights located on the joints of a moving body. BMP is commonplace and important, but there is great inter-individual variability in this ability. This study used multiple regression model analysis to explore the association between BMP performance and intrinsic brain activity, in order to investigate the neural substrates underlying inter-individual variability of BMP performance. The resting-state functional magnetic resonance imaging (rs-fMRI) and BMP performance data were collected from 24 healthy participants, for whom intrinsic brain networks were constructed, and a graph-based network efficiency metric was measured. Then, a multiple linear regression model was used to explore the association between network regional efficiency and BMP performance. We found that the local and global network efficiency of many regions was significantly correlated with BMP performance. Further analysis showed that the local efficiency rather than global efficiency could be used to explain most of the BMP inter-individual variability, and the regions involved were predominately located in the Default Mode Network (DMN). Additionally, discrimination analysis showed that the local efficiency of certain regions such as the thalamus could be used to classify BMP performance across participants. Notably, the association pattern between network nodal efficiency and BMP was different from the association pattern of static directional/gender information perception. Overall, these findings show that intrinsic brain network efficiency may be considered a neural factor that explains BMP inter-individual variability. PMID:27853427

  4. EDCTP regional networks of excellence: initial merits for planned clinical trials in Africa

    PubMed Central

    2013-01-01

    Background Achieving the Millennium Development Goals (MDGs) and combating hotspots with escalating but preventable communicable diseases remain major challenges in Africa. The European and Developing Countries Clinical Trials Partnership (EDCTP) intervened to combat poverty-related diseases including malaria, tuberculosis and HIV/AIDS, and to conduct multi-centre clinical trials and multi-disciplinary health research through an innovative model of regional Networks of Excellence (NoEs). Methods We participated in a quasi-formative evaluation between October and December 2011 on the 4 regional-led research networks. These included the: Central Africa Network on Tuberculosis, HIV/AIDS and Malaria (CANTAM); East African Consortium for Clinical Research (EACCR); West African Network of Excellence for TB, AIDS and Malaria (WANETAM), and the Trials of Excellence for Southern Africa (TESA) launched between 2009 and 2010. We shared a participatory appraisal of field reports, progress reports and presentations from each network to jointly outline the initial experiences of the merits, outputs and lessons learnt. Results The self-regulating democratic networks, with 64 institutions in 21 African countries, have trained over 1, 000 African scientists, upgraded 36 sites for clinical trials, leveraged additional € 24 million and generated 38 peer-reviewed publications through networking and partnerships. Conclusions The shared initial merits and lessons learnt portray in part the strengthened capacity of these networks for improved research coordination and conduct of planned multi-center clinical trials in Africa. Increased funding by African agencies, governments and international health partners will ensure sustainability of these networks for research capacity development and demonstrate their commitment to achieving the MDGs in Africa. PMID:23517572

  5. Fostering Earth Observation Regional Networks - Integrative and iterative approaches to capacity building

    NASA Astrophysics Data System (ADS)

    Habtezion, S.

    2015-12-01

    Fostering Earth Observation Regional Networks - Integrative and iterative approaches to capacity building Fostering Earth Observation Regional Networks - Integrative and iterative approaches to capacity building Senay Habtezion (shabtezion@start.org) / Hassan Virji (hvirji@start.org)Global Change SySTem for Analysis, Training and Research (START) (www.start.org) 2000 Florida Avenue NW, Suite 200 Washington, DC 20009 USA As part of the Global Observation of Forest and Land Cover Dynamics (GOFC-GOLD) project partnership effort to promote use of earth observations in advancing scientific knowledge, START works to bridge capacity needs related to earth observations (EOs) and their applications in the developing world. GOFC-GOLD regional networks, fostered through the support of regional and thematic workshops, have been successful in (1) enabling participation of scientists for developing countries and from the US to collaborate on key GOFC-GOLD and Land Cover and Land Use Change (LCLUC) issues, including NASA Global Data Set validation and (2) training young developing country scientists to gain key skills in EOs data management and analysis. Members of the regional networks are also engaged and reengaged in other EOs programs (e.g. visiting scientists program; data initiative fellowship programs at the USGS EROS Center and Boston University), which has helped strengthen these networks. The presentation draws from these experiences in advocating for integrative and iterative approaches to capacity building through the lens of the GOFC-GOLD partnership effort. Specifically, this presentation describes the role of the GODC-GOLD partnership in nurturing organic networks of scientists and EOs practitioners in Asia, Africa, Eastern Europe and Latin America.

  6. A web-based information system for a regional public mental healthcare service network in Brazil.

    PubMed

    Yoshiura, Vinicius Tohoru; de Azevedo-Marques, João Mazzoncini; Rzewuska, Magdalena; Vinci, André Luiz Teixeira; Sasso, Ariane Morassi; Miyoshi, Newton Shydeo Brandão; Furegato, Antonia Regina Ferreira; Rijo, Rui Pedro Charters Lopes; Del-Ben, Cristina Marta; Alves, Domingos

    2017-01-01

    Regional networking between services that provide mental health care in Brazil's decentralized public health system is challenging, partly due to the simultaneous existence of services managed by municipal and state authorities and a lack of efficient and transparent mechanisms for continuous and updated communication between them. Since 2011, the Ribeirao Preto Medical School and the XIII Regional Health Department of the Sao Paulo state, Brazil, have been developing and implementing a web-based information system to facilitate an integrated care throughout a public regional mental health care network. After a profound on-site analysis, the structure of the network was identified and a web-based information system for psychiatric admissions and discharges was developed and implemented using a socio-technical approach. An information technology team liaised with mental health professionals, health-service managers, municipal and state health secretariats and judicial authorities. Primary care, specialized community services, general emergency and psychiatric wards services, that comprise the regional mental healthcare network, were identified and the system flow was delineated. The web-based system overcame the fragmentation of the healthcare system and addressed service specific needs, enabling: detailed patient information sharing; active coordination of the processes of psychiatric admissions and discharges; real-time monitoring; the patients' status reports; the evaluation of the performance of each service and the whole network. During a 2-year period of operation, it registered 137 services, 480 health care professionals and 4271 patients, with a mean number of 2835 accesses per month. To date the system is successfully operating and further expanding. We have successfully developed and implemented an acceptable, useful and transparent web-based information system for a regional mental healthcare service network in a medium-income country with a decentralized

  7. Regional Webgis User Access Patterns Based on a Weighted Bipartite Network

    NASA Astrophysics Data System (ADS)

    Li, R.; Shen, Y.; Huang, W.; Wu, H.

    2015-07-01

    With the rapid development of geographic information services, Web Geographic Information Systems (WebGIS) have become an indispensable part of everyday life; correspondingly, map search engines have become extremely popular with users and WebGIS sites receive a massive volume of requests for access. These WebGIS users and the content accessed have regional characteristics; to understand regional patterns, we mined regional WebGIS user access patterns based on a weighted bipartite network. We first established a weighted bipartite network model for regional user access to a WebGIS. Then, based on the massive user WebGIS access logs, we clustered geographic information accessed and thereby identified hot access areas. Finally we quantitatively analyzed the access interests of regional users and the visitation volume characteristics of regional user access to these hot access areas in terms of user access permeability, user usage rate, and user access viscosity. Our research results show that regional user access to WebGIS is spatially aggregated, and the hot access areas that regional users accessed are associated with specific periods of time. Most regional user contact with hot accessed areas is variable and intermittent but for some users, their access to certain areas is continuous as it is associated with ongoing or recurrent objectives. The weighted bipartite network model for regional user WebGIS access provides a valid analysis method for studying user behaviour in WebGIS and the proposed access pattern exhibits access interest of regional user is spatiotemporal aggregated and presents a heavy-tailed distribution. Understanding user access patterns is good for WebGIS providers and supports better operational decision-making, and helpful for developers when optimizing WebGIS system architecture and deployment, so as to improve the user experience and to expand the popularity of WebGIS.

  8. Between-Network Connectivity occurs in brain regions lacking layer IV input

    PubMed Central

    Wylie, Korey P.; Kronberg, Eugene; Maharajh, Keeran; Smucny, Jason; Cornier, Marc-Andre; Tregellas, Jason R.

    2015-01-01

    To better understand the cortical circuitry underlying connectivity between large-scale neural networks, we develop a novel, data-driven approach to identify potential integration subregions. Between-Network Connectivity (BNC) associated with any anatomical region is the amount of connectivity between that point and all large-scale networks, as measured using simple and multiple correlations. It is straightforward to calculate and applicable to functional networks identified using Independent Components Analysis. We calculated BNC for all fMRI voxels within the brain and compared the results to known regional cytoarchitectural patterns. Based on previous observations of the relationship between macroscopic connectivity and microscopic cytoarchitecture, we predicted that areas with high BNC will be located in paralimbic subregions with an undifferentiated laminar structure. Results suggest that the anterior insula and dorsal posterior cingulate cortices play prominent roles in information integration. Cytoarchitecturely, these areas show agranular or dysgranular cytologies with absent or disrupted cortical layer IV. Since layer IV is the primary recipient of feed-forward thalamocortical connections, and due to the exclusive nature of driving connections to this layer, we suggest that the absence of cortical layer IV might allow for information to be exchanged across networks, and is an organizational characteristic of brain-subregions serving as inter-network communication hubs. PMID:25979667

  9. Between-network connectivity occurs in brain regions lacking layer IV input.

    PubMed

    Wylie, Korey P; Kronberg, Eugene; Maharajh, Keeran; Smucny, Jason; Cornier, Marc-Andre; Tregellas, Jason R

    2015-08-01

    To better understand the cortical circuitry underlying connectivity between large-scale neural networks, we develop a novel, data-driven approach to identify potential integration subregions. Between-network connectivity (BNC) associated with any anatomical region is the amount of connectivity between that point and all large-scale networks, as measured using simple and multiple correlations. It is straightforward to calculate and applicable to functional networks identified using independent components analysis. We calculated BNC for all fMRI voxels within the brain and compared the results to known regional cytoarchitectural patterns. Based on previous observations of the relationship between macroscopic connectivity and microscopic cytoarchitecture, we predicted that areas with high BNC will be located in paralimbic subregions with an undifferentiated laminar structure. Results suggest that the anterior insula and dorsal posterior cingulate cortices play prominent roles in information integration. Cytoarchitecturely, these areas show agranular or dysgranular cytologies with absent or disrupted cortical layer IV. Since layer IV is the primary recipient of feed-forward thalamocortical connections, and due to the exclusive nature of driving connections to this layer, we suggest that the absence of cortical layer IV might allow for information to be exchanged across networks, and is an organizational characteristic of brain-subregions serving as inter-network communication hubs.

  10. Site location optimization of regional air quality monitoring network in China: methodology and case study.

    PubMed

    Zheng, Junyu; Feng, Xiaoqiong; Liu, Panwei; Zhong, Liuju; Lai, Senchao

    2011-11-01

    Regional air quality monitoring networks (RAQMN) are urgently needed in China due to increasing regional air pollution in city clusters, arising from rapid economic development in recent decades. This paper proposes a methodological framework for site location optimization in designing a RAQMN adapting to air quality management practice in China. The framework utilizes synthetic assessment concentrations developed from simulated data from a regional air quality model in order to simplify the optimal process and to reduce costs. On the basis of analyzing various constraints such as cost and budget, terrain conditions, administrative district, population density and spatial coverage, the framework takes the maximum approximate degree as an optimization objective to achieve site location optimization of a RAQMN. An expert judgment approach was incorporated into the framework to help adjust initial optimization results in order to make the network more practical and representative. A case study was used to demonstrate the application of the framework, indicating that it is feasible to conduct site optimization for a RAQMN design in China. The effects of different combinations of primary and secondary pollutants on site location optimization were investigated. It is suggested that the network design considering both primary and secondary pollutants could better represent regional pollution characteristics and more extensively reflect temporal and spatial variations of regional air quality. The work shown in this study can be used as a reference to guide site location optimization of a RAQMN design in China or other regions of the world.

  11. Effectiveness of the New Hampshire stream-gaging network in providing regional streamflow information

    USGS Publications Warehouse

    Olson, Scott A.

    2003-01-01

    The stream-gaging network in New Hampshire was analyzed for its effectiveness in providing regional information on peak-flood flow, mean-flow, and low-flow frequency. The data available for analysis were from stream-gaging stations in New Hampshire and selected stations in adjacent States. The principles of generalized-least-squares regression analysis were applied to develop regional regression equations that relate streamflow-frequency characteristics to watershed characteristics. Regression equations were developed for (1) the instantaneous peak flow with a 100-year recurrence interval, (2) the mean-annual flow, and (3) the 7-day, 10-year low flow. Active and discontinued stream-gaging stations with 10 or more years of flow data were used to develop the regression equations. Each stream-gaging station in the network was evaluated and ranked on the basis of how much the data from that station contributed to the cost-weighted sampling-error component of the regression equation. The potential effect of data from proposed and new stream-gaging stations on the sampling error also was evaluated. The stream-gaging network was evaluated for conditions in water year 2000 and for estimated conditions under various network strategies if an additional 5 years and 20 years of streamflow data were collected. The effectiveness of the stream-gaging network in providing regional streamflow information could be improved for all three flow characteristics with the collection of additional flow data, both temporally and spatially. With additional years of data collection, the greatest reduction in the average sampling error of the regional regression equations was found for the peak- and low-flow characteristics. In general, additional data collection at stream-gaging stations with unregulated flow, relatively short-term record (less than 20 years), and drainage areas smaller than 45 square miles contributed the largest cost-weighted reduction to the average sampling error of the

  12. Attention Performance Measured by Attention Network Test Is Correlated with Global and Regional Efficiency of Structural Brain Networks

    PubMed Central

    Xiao, Min; Ge, Haitao; Khundrakpam, Budhachandra S.; Xu, Junhai; Bezgin, Gleb; Leng, Yuan; Zhao, Lu; Tang, Yuchun; Ge, Xinting; Jeon, Seun; Xu, Wenjian; Evans, Alan C.; Liu, Shuwei

    2016-01-01

    Functional neuroimaging studies have indicated the involvement of separate brain areas in three distinct attention systems: alerting, orienting, and executive control (EC). However, the structural correlates underlying attention remains unexplored. Here, we utilized graph theory to examine the neuroanatomical substrates of the three attention systems measured by attention network test (ANT) in 65 healthy subjects. White matter connectivity, assessed with diffusion tensor imaging deterministic tractography was modeled as a structural network comprising 90 nodes defined by the automated anatomical labeling (AAL) template. Linear regression analyses were conducted to explore the relationship between topological parameters and the three attentional effects. We found a significant positive correlation between EC function and global efficiency of the whole brain network. At the regional level, node-specific correlations were discovered between regional efficiency and all three ANT components, including dorsolateral superior frontal gyrus, thalamus and parahippocampal gyrus for EC, thalamus and inferior parietal gyrus for alerting, and paracentral lobule and inferior occipital gyrus for orienting. Our findings highlight the fundamental architecture of interregional structural connectivity involved in attention and could provide new insights into the anatomical basis underlying human behavior. PMID:27777556

  13. Brief Report: Databases in the Asia-Pacific Region: The Potential for a Distributed Network Approach.

    PubMed

    Lai, Edward Chia-Cheng; Man, Kenneth K C; Chaiyakunapruk, Nathorn; Cheng, Ching-Lan; Chien, Hsu-Chih; Chui, Celine S L; Dilokthornsakul, Piyameth; Hardy, N Chantelle; Hsieh, Cheng-Yang; Hsu, Chung Y; Kubota, Kiyoshi; Lin, Tzu-Chieh; Liu, Yanfang; Park, Byung Joo; Pratt, Nicole; Roughead, Elizabeth E; Shin, Ju-Young; Watcharathanakij, Sawaeng; Wen, Jin; Wong, Ian C K; Yang, Yea-Huei Kao; Zhang, Yinghong; Setoguchi, Soko

    2015-11-01

    This study describes the availability and characteristics of databases in Asian-Pacific countries and assesses the feasibility of a distributed network approach in the region. A web-based survey was conducted among investigators using healthcare databases in the Asia-Pacific countries. Potential survey participants were identified through the Asian Pharmacoepidemiology Network. Investigators from a total of 11 databases participated in the survey. Database sources included four nationwide claims databases from Japan, South Korea, and Taiwan; two nationwide electronic health records from Hong Kong and Singapore; a regional electronic health record from western China; two electronic health records from Thailand; and cancer and stroke registries from Taiwan. We identified 11 databases with capabilities for distributed network approaches. Many country-specific coding systems and terminologies have been already converted to international coding systems. The harmonization of health expenditure data is a major obstacle for future investigations attempting to evaluate issues related to medical costs.

  14. Estimation of relative humidity based on artificial neural network approach in the Aegean Region of Turkey

    NASA Astrophysics Data System (ADS)

    Yasar, Abdulkadir; Simsek, Erdoğan; Bilgili, Mehmet; Yucel, Ahmet; Ilhan, Ilhami

    2012-01-01

    The aim of this study is to estimate the monthly mean relative humidity (MRH) values in the Aegean Region of Turkey with the help of the topographical and meteorological parameters based on artificial neural network (ANN) approach. The monthly MRH values were calculated from the measurement in the meteorological observing stations established in Izmir, Mugla, Aydin, Denizli, Usak, Manisa, Kutahya and Afyonkarahisar provinces between 2000 and 2006. Latitude, longitude, altitude, precipitation and months of the year were used in the input layer of the ANN network, while the MRH was used in output layer of the network. The ANN model was developed using MATLAB software, and then actual values were compared with those obtained by ANN and multi-linear regression methods. It seemed that the obtained values were in the acceptable error limits. It is concluded that the determination of relative humidity values is possible at any target point of the region where the measurement cannot be performed.

  15. Combined networked switching output feedback control with ?-region stability for performance improvement

    NASA Astrophysics Data System (ADS)

    Nikolakopoulos, George; Dritsas, Leonidas; Delshad, Saleh S.

    2014-06-01

    In this article, a combined networked switching output feedback control scheme, with a ?-region stability performance improvement module is presented. The network induced time delays, that are considered to be time varying and integer multiples of the sampling period, are being embedded in the system model, by state augmentation. The resulting model of the overall networked closed-loop system is switching, with the current measured round-trip time delay acting as the switching rule. Based on this modelling approach, a Linear Matrix Inequality (LMI) tuned switching output feedback controller is designed. The proposed approach establishes robustness against time delays and is able to guarantee the overall stability of the switching closed-loop system. Integrated in the controlled synthesis phase, an LMI tuned performance improvement module is being introduced, based on ?-region stability. Multiple simulation results are being presented that prove the efficacy of the proposed scheme.

  16. Cortical Thinning in Network-Associated Regions in Cognitively Normal and Below-Normal Range Schizophrenia

    PubMed Central

    Pinnock, Farena; Parlar, Melissa; Hawco, Colin; Hanford, Lindsay; Hall, Geoffrey B.

    2017-01-01

    This study assessed whether cortical thickness across the brain and regionally in terms of the default mode, salience, and central executive networks differentiates schizophrenia patients and healthy controls with normal range or below-normal range cognitive performance. Cognitive normality was defined using the MATRICS Consensus Cognitive Battery (MCCB) composite score (T = 50 ± 10) and structural magnetic resonance imaging was used to generate cortical thickness data. Whole brain analysis revealed that cognitively normal range controls (n = 39) had greater cortical thickness than both cognitively normal (n = 17) and below-normal range (n = 49) patients. Cognitively normal controls also demonstrated greater thickness than patients in regions associated with the default mode and salience, but not central executive networks. No differences on any thickness measure were found between cognitively normal range and below-normal range controls (n = 24) or between cognitively normal and below-normal range patients. In addition, structural covariance between network regions was high and similar across subgroups. Positive and negative symptom severity did not correlate with thickness values. Cortical thinning across the brain and regionally in relation to the default and salience networks may index shared aspects of the psychotic psychopathology that defines schizophrenia with no relation to cognitive impairment. PMID:28348889

  17. Networked Interactive Whiteboards: Rationale, Affordances and New Pedagogies for Regional Australian Higher Education

    ERIC Educational Resources Information Center

    Dawson, Phillip

    2010-01-01

    This article presents an argument for the use of networked interactive whiteboards (NIWBs) in regional Australian higher education and identifies new pedagogies for this context. Most Australian universities operate multiple campuses, and many use video conference facilities to deliver courses across these sites. For students at remote video…

  18. Networked Interactive Whiteboards: Rationale, Affordances and New Pedagogies for Regional Australian Higher Education

    ERIC Educational Resources Information Center

    Dawson, Phillip

    2010-01-01

    This article presents an argument for the use of networked interactive whiteboards (NIWBs) in regional Australian higher education and identifies new pedagogies for this context. Most Australian universities operate multiple campuses, and many use video conference facilities to deliver courses across these sites. For students at remote video…

  19. Antarctic VLNDEF Network for Regional Deformation Control in Absolute Reference Frame: Problems and Possible Solution.

    NASA Astrophysics Data System (ADS)

    Capra, A.; Gandolfi, S.; Mancini, F.; Negusini, M.; Vittuari, L.

    2004-05-01

    VLNDEF (Victoria Land Network for DEFormationn control) Geodetic Program addresses the crustal deformation control of the Northern Victoria Land (Antarctica) by means of geodetic GPS measurements. The project is within the activity of GIANT (Geodetic Infrastructure of Antarctica) SCAR Program and was established within the actions of ANTEC (ANTarctic NeoTECtonics) Group of Specialists. During 1999-2000 and 2000-2001 Italian expeditions a network of 27 stations was established and completely surveyed over an area extending from the southernmost points at 70 degrees latitude south to the Oates Coast region at 76°S, corresponding to a wideness of 700 km along the south-north and 300 km in the west to east directions. The average distance between stations is about of 70-80 km. During the field activities in the 2002-03 expedition the whole network was surveyed. During those expeditions long time sessions of connection between VLNDEF and TAMDEF networks performed. TAMDEF is a USA NSF program for crustal deformation control on southern Victoria Land. The dataset has been processed using different package such as Bernese and Gipsy in order to compare solutions and fix the better approach for the transition between reference frame. The first solution was initially constrained in the ITRF97 solution using the TNB1 GPS permanent station coordinate provided by the SCAR GPS Epoch solution. The approach to crustal deformation determination is relevant in terms of relative regional deformation, among the network stations, and the absolute deformation study, through the connection to international reference frame. Particularly important is the study of for VLNDEF in order to integrated evaluation with other continental and regional networks, as SCAR GPS Epoch and TAMDEF.Some aspects related to the data processing in the Antarctic region and the use of the ITRF2000 as reference frame will be discussed in the paper in addition to the analysis of the deformation in the area.

  20. GOFC-GOLD/LCLUC/START Regional Networking: building capacity for science and decision-making.

    NASA Astrophysics Data System (ADS)

    Justice, C. O.; Vadrevu, K.; Gutman, G.

    2016-12-01

    Over the past 20 years, the international GOFC-GOLD Program and START, with core funding from the NASA LCLUC program and ESA have been developing regional networks of scientists and data users for scientific capacity building and sharing experience in the use and application of Earth Observation data. Regional networks connect scientists from countries with similar environmental and social issues and often with shared water and airsheds. Through periodic regional workshops, regional and national projects are showcased and national priorities and policy drivers are articulated. The workshops encourage both north-south and south-south exchange and collaboration. The workshops are multi-sponsored and each include a training component, targeting early career scientists and data users from the region. The workshops provide an opportunity for regional scientists to publish in peer-reviewed special editions focused on regional issues. Currently, the NASA LCLUC program funded "South and Southeast Asia Regional Initiative (SARI)" team is working closely with the USAID/NASA SERVIR program to implement some capacity building and training activities jointly in south/southeast Asian countries to achieve maximum benefit.

  1. Soy sauce classification by geographic region and fermentation based on artificial neural network and genetic algorithm.

    PubMed

    Xu, Libin; Li, Yang; Xu, Ning; Hu, Yong; Wang, Chao; He, Jianjun; Cao, Yueze; Chen, Shigui; Li, Dongsheng

    2014-12-24

    This work demonstrated the possibility of using artificial neural networks to classify soy sauce from China. The aroma profiles of different soy sauce samples were differentiated using headspace solid-phase microextraction. The soy sauce samples were analyzed by gas chromatography-mass spectrometry, and 22 and 15 volatile aroma compounds were selected for sensitivity analysis to classify the samples by fermentation and geographic region, respectively. The 15 selected samples can be classified by fermentation and geographic region with a prediction success rate of 100%. Furans and phenols represented the variables with the greatest contribution in classifying soy sauce samples by fermentation and geographic region, respectively.

  2. Long-term variability of importance of brain regions in evolving epileptic brain networks

    NASA Astrophysics Data System (ADS)

    Geier, Christian; Lehnertz, Klaus

    2017-04-01

    We investigate the temporal and spatial variability of the importance of brain regions in evolving epileptic brain networks. We construct these networks from multiday, multichannel electroencephalographic data recorded from 17 epilepsy patients and use centrality indices to assess the importance of brain regions. Time-resolved indications of highest importance fluctuate over time to a greater or lesser extent, however, with some periodic temporal structure that can mostly be attributed to phenomena unrelated to the disease. In contrast, relevant aspects of the epileptic process contribute only marginally. Indications of highest importance also exhibit pronounced alternations between various brain regions that are of relevance for studies aiming at an improved understanding of the epileptic process with graph-theoretical approaches. Nonetheless, these findings may guide new developments for individualized diagnosis, treatment, and control.

  3. 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.

  4. Whole brain and brain regional coexpression network interactions associated with predisposition to alcohol consumption.

    PubMed

    Vanderlinden, Lauren A; Saba, Laura M; Kechris, Katerina; Miles, Michael F; Hoffman, Paula L; Tabakoff, Boris

    2013-01-01

    To identify brain transcriptional networks that may predispose an animal to consume alcohol, we used weighted gene coexpression network analysis (WGCNA). Candidate coexpression modules are those with an eigengene expression level that correlates significantly with the level of alcohol consumption across a panel of BXD recombinant inbred mouse strains, and that share a genomic region that regulates the module transcript expression levels (mQTL) with a genomic region that regulates alcohol consumption (bQTL). To address a controversy regarding utility of gene expression profiles from whole brain, vs specific brain regions, as indicators of the relationship of gene expression to phenotype, we compared candidate coexpression modules from whole brain gene expression data (gathered with Affymetrix 430 v2 arrays in the Colorado laboratories) and from gene expression data from 6 brain regions (nucleus accumbens (NA); prefrontal cortex (PFC); ventral tegmental area (VTA); striatum (ST); hippocampus (HP); cerebellum (CB)) available from GeneNetwork. The candidate modules were used to construct candidate eigengene networks across brain regions, resulting in three "meta-modules", composed of candidate modules from two or more brain regions (NA, PFC, ST, VTA) and whole brain. To mitigate the potential influence of chromosomal location of transcripts and cis-eQTLs in linkage disequilibrium, we calculated a semi-partial correlation of the transcripts in the meta-modules with alcohol consumption conditional on the transcripts' cis-eQTLs. The function of transcripts that retained the correlation with the phenotype after correction for the strong genetic influence, implicates processes of protein metabolism in the ER and Golgi as influencing susceptibility to variation in alcohol consumption. Integration of these data with human GWAS provides further information on the function of polymorphisms associated with alcohol-related traits.

  5. Whole Brain and Brain Regional Coexpression Network Interactions Associated with Predisposition to Alcohol Consumption

    PubMed Central

    Vanderlinden, Lauren A.; Saba, Laura M.; Kechris, Katerina; Miles, Michael F.; Hoffman, Paula L.; Tabakoff, Boris

    2013-01-01

    To identify brain transcriptional networks that may predispose an animal to consume alcohol, we used weighted gene coexpression network analysis (WGCNA). Candidate coexpression modules are those with an eigengene expression level that correlates significantly with the level of alcohol consumption across a panel of BXD recombinant inbred mouse strains, and that share a genomic region that regulates the module transcript expression levels (mQTL) with a genomic region that regulates alcohol consumption (bQTL). To address a controversy regarding utility of gene expression profiles from whole brain, vs specific brain regions, as indicators of the relationship of gene expression to phenotype, we compared candidate coexpression modules from whole brain gene expression data (gathered with Affymetrix 430 v2 arrays in the Colorado laboratories) and from gene expression data from 6 brain regions (nucleus accumbens (NA); prefrontal cortex (PFC); ventral tegmental area (VTA); striatum (ST); hippocampus (HP); cerebellum (CB)) available from GeneNetwork. The candidate modules were used to construct candidate eigengene networks across brain regions, resulting in three “meta-modules”, composed of candidate modules from two or more brain regions (NA, PFC, ST, VTA) and whole brain. To mitigate the potential influence of chromosomal location of transcripts and cis-eQTLs in linkage disequilibrium, we calculated a semi-partial correlation of the transcripts in the meta-modules with alcohol consumption conditional on the transcripts' cis-eQTLs. The function of transcripts that retained the correlation with the phenotype after correction for the strong genetic influence, implicates processes of protein metabolism in the ER and Golgi as influencing susceptibility to variation in alcohol consumption. Integration of these data with human GWAS provides further information on the function of polymorphisms associated with alcohol-related traits. PMID:23894363

  6. Modelling innovation performance of European regions using multi-output neural networks.

    PubMed

    Hajek, Petr; Henriques, Roberto

    2017-01-01

    Regional innovation performance is an important indicator for decision-making regarding the implementation of policies intended to support innovation. However, patterns in regional innovation structures are becoming increasingly diverse, complex and nonlinear. To address these issues, this study aims to develop a model based on a multi-output neural network. Both intra- and inter-regional determinants of innovation performance are empirically investigated using data from the 4th and 5th Community Innovation Surveys of NUTS 2 (Nomenclature of Territorial Units for Statistics) regions. The results suggest that specific innovation strategies must be developed based on the current state of input attributes in the region. Thus, it is possible to develop appropriate strategies and targeted interventions to improve regional innovation performance. We demonstrate that support of entrepreneurship is an effective instrument of innovation policy. We also provide empirical support that both business and government R&D activity have a sigmoidal effect, implying that the most effective R&D support should be directed to regions with below-average and average R&D activity. We further show that the multi-output neural network outperforms traditional statistical and machine learning regression models. In general, therefore, it seems that the proposed model can effectively reflect both the multiple-output nature of innovation performance and the interdependency of the output attributes.

  7. Network of European regions using space technologies an update on the NEREUS constitution

    NASA Astrophysics Data System (ADS)

    Morelli, Marianna; Campostrini, Pierpaolo

    2010-01-01

    The EU and ESA space research and development programmes give a consolidated model for international cooperation. They represent a good framework to develop and enhance different initiatives at global, regional and local level. The impact of space activities covers different areas of interest such as: the development of Earth observation applications for environment monitoring and risk prevention and management, the development of satellite communications and information systems, the exploitation of global satellite positioning and navigation systems, the knowledge of the Universe, the utilisation of ground segment engineering. These activities involve also the regional and local governments. This is particularly evident if we look at the competences of the European regional governments. Several European regions deal with a number of issues in areas linked to space activities. In line with these reflections a number of European regional governments supported by the Committee of the Regions launched the idea to create a Network of European Regions Using Space technologies—NEREUS. This Network is an International non-profit association (AISBL— Association International Sans But Lucratif) under Belgian law. The aim of this paper is to review the course of the initiative since its launch in April 2006, giving an update of the work done for its constitution.

  8. [Regional network for patients with dementia--carrying out Kumamoto model for dementia].

    PubMed

    Ikeda, Manabu

    2014-01-01

    The Japanese government has tried to establish 150 Medical Centers for Dementia (MCDs) since 2008 to overcome the dementia medical service shortage. MCDs are required to provide special medical services for dementia and connect with other community resources in order to contribute to building a comprehensive support network for demented patients. The main specific needs are as follows: 1) special medical consultation; 2) differential diagnosis and early intervention; 3) medical treatment for the acute stage of BPSD; 4) corresponding to serious physical complications of dementia; 5) education for general physicians (GPs) and other community professionals. According to the population rate, two dementia medical centers were planned in Kumamoto Prefecture. However, it seemed to be too few to cover the vast Kumamoto area. Therefore, the local government and I proposed to the Japanese government that we build up networks that consist of one core MCD in our university hospital and several regional MCDs in local mental hospitals. The local government selected seven (nine at present) centers according to the area balance and condition of equipment. The Japanese government has recommended and funded such networks between core and regional centers since 2010. The main roles of the core centers are as follows: 1) early diagnosis such as Mild cognitive impairment, very mild Alzheimer's disease, Dementia with Lewy bodies, and Frontotemporal lobar degeneration using comprehensive neuropsychological batteries and neuroimagings, such as MRI and SPECT scans; 2) education for GPs; 3) training for young consultants. The core center opens case conferences at least every one or two months for all staff of regional centers to maintain the quality of all centers and give training opportunities for standardized international assessment scales. While the main roles of the regional centers are differential diagnosis, intervention for BPSD, and management of general medical problems using

  9. On the Role of Hyper-arid Regions within the Virtual Water Trade Network

    NASA Astrophysics Data System (ADS)

    Aggrey, James; Alshamsi, Aamena; Molini, Annalisa

    2016-04-01

    Climate change, economic development, and population growth are bound to increasingly impact global water resources, posing a significant threat to the sustainable development of arid regions, where water consumption highly exceeds the natural carrying capacity, population growth rate is high, and climate variability is going to impact both water consumption and availability. Virtual Water Trade (VWT) - i.e. the international trade network of water-intensive products - has been proposed as a possible solution to optimize the allocation of water resources on the global scale. By increasing food availability and lowering food prices it may in fact help the rapid development of water-scarce regions. The structure of the VWT network has been analyzed by a number of authors both in connection with trade policies, socioeconomic constrains and agricultural efficiency. However a systematic analysis of the structure and the dynamics of the VWT network conditional to aridity, climatic forcing and energy availability, is still missing. Our goal is hence to analyze the role of arid and hyper-arid regions within the VWN under diverse climatic, demographic, and energy constraints with an aim to contribute to the ongoing Energy-Water-Food nexus discussion. In particular, we focus on the hyper-arid lands of the Arabian Peninsula, the role they play in the global network and the assessment of their specific criticalities, as reflected in the VWN resilience.

  10. Spatio-temporal filtering for determination of common mode error in regional GNSS networks

    NASA Astrophysics Data System (ADS)

    Bogusz, Janusz; Gruszczynski, Maciej; Figurski, Mariusz; Klos, Anna

    2015-04-01

    The spatial correlation between different stations for individual components in the regional GNSS networks seems to be significant. The mismodelling in satellite orbits, the Earth orientation parameters (EOP), largescale atmospheric effects or satellite antenna phase centre corrections can all cause the regionally correlated errors. This kind of GPS time series errors are referred to as common mode errors (CMEs). They are usually estimated with the regional spatial filtering, such as the "stacking". In this paper, we show the stacking approach for the set of ASG-EUPOS permanent stations, assuming that spatial distribution of the CME is uniform over the whole region of Poland (more than 600 km extent). The ASG-EUPOS is a multifunctional precise positioning system based on the reference network designed for Poland. We used a 5- year span time series (2008-2012) of daily solutions in the ITRF2008 from Bernese 5.0 processed by the Military University of Technology EPN Local Analysis Centre (MUT LAC). At the beginning of our analyses concerning spatial dependencies, the correlation coefficients between each pair of the stations in the GNSS network were calculated. This analysis shows that spatio-temporal behaviour of the GPS-derived time series is not purely random, but there is the evident uniform spatial response. In order to quantify the influence of filtering using CME, the norms L1 and L2 were determined. The values of these norms were calculated for the North, East and Up components twice: before performing the filtration and after stacking. The observed reduction of the L1 and L2 norms was up to 30% depending on the dimension of the network. However, the question how to define an optimal size of CME-analysed subnetwork remains unanswered in this research, due to the fact that our network is not extended enough.

  11. Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular interaction networks.

    PubMed

    Colak, Recep; Moser, Flavia; Chu, Jeffrey Shih-Chieh; Schönhuth, Alexander; Chen, Nansheng; Ester, Martin

    2010-10-25

    Computational prediction of functionally related groups of genes (functional modules) from large-scale data is an important issue in computational biology. Gene expression experiments and interaction networks are well studied large-scale data sources, available for many not yet exhaustively annotated organisms. It has been well established, when analyzing these two data sources jointly, modules are often reflected by highly interconnected (dense) regions in the interaction networks whose participating genes are co-expressed. However, the tractability of the problem had remained unclear and methods by which to exhaustively search for such constellations had not been presented. We provide an algorithmic framework, referred to as Densely Connected Biclustering (DECOB), by which the aforementioned search problem becomes tractable. To benchmark the predictive power inherent to the approach, we computed all co-expressed, dense regions in physical protein and genetic interaction networks from human and yeast. An automatized filtering procedure reduces our output which results in smaller collections of modules, comparable to state-of-the-art approaches. Our results performed favorably in a fair benchmarking competition which adheres to standard criteria. We demonstrate the usefulness of an exhaustive module search, by using the unreduced output to more quickly perform GO term related function prediction tasks. We point out the advantages of our exhaustive output by predicting functional relationships using two examples. We demonstrate that the computation of all densely connected and co-expressed regions in interaction networks is an approach to module discovery of considerable value. Beyond confirming the well settled hypothesis that such co-expressed, densely connected interaction network regions reflect functional modules, we open up novel computational ways to comprehensively analyze the modular organization of an organism based on prevalent and largely available large

  12. Nitrogen removal capacity of the river network in a high nitrogen loading region.

    PubMed

    Zhao, Yongqiang; Xia, Yongqiu; Ti, Chaopu; Shan, Jun; Li, Bolun; Xia, Longlong; Yan, Xiaoyuan

    2015-02-03

    Denitrification is the primary process that regulates the removal of bioavailable nitrogen (N) from aquatic ecosystems. Quantifying the capacity of N removal from aquatic systems can provide a scientific basis for establishing the relationship between N reduction and water quality objectives, quantifying pollution contributions from different sources, as well as recommending control measures. The Lake Taihu region in China has a dense river network and heavy N pollution; however, the capacity for permanent N removal by the river network is unknown. Here, we concurrently examined environmental factors and net N2 flux from sediments of two rivers in the Lake Taihu region between July 2012 and May 2013, using membrane inlet mass spectrometry, and then established a regression model incorporating the highly correlated factors to predict the N removal capacity of the river network in the region. To test the applicability of the regression model, 21 additional rivers surrounding Lake Taihu were sampled between July and December 2013. The results suggested that water nitrate concentrations are still the primary controlling factor for net denitrification even in this high N loading river network, probably due to multicollinearity of other relevant factors, and thus can be used to predict N removal from aquatic systems. Our established model accounted for 78% of the variability in the measured net N2 flux in these 21 rivers, and the total N removed through N2 production by the river network was estimated at 4 × 10(4) t yr(-1), accounting for about 43% of the total aquatic N load to the river system. Our results indicate that the average total N content in the river water discharged into Lake Taihu would be around 5.9 mg of N L(-1) in the current situation, far higher than the target concentration of 2 mg of N L(-1), given the total N load and the N removal capacity. Therefore, a much stronger effort is required to control the N pollution of the surface water in the region.

  13. RBF network based on artificial immune algorithm for regional head conductivity estimation.

    PubMed

    Dong, Guoya; Zhou, Ying; Qiu, Zhiliang; Yan, Weili

    2006-01-01

    This paper presents a novel Radial Basis Function (RBF) neural network model based on Artificial Immune principle, termed AI-based RBF, to estimate the regional head tissue conductivity. In this model, immune learning algorithm is used for determining the number and location of the centers of the hidden layer by regarding the input data of network as antigens, and the centers of the hidden layer as antibodies. The least square algorithm is adopted for achieving the weights of the output layer. With a 2-D concentric circular model of 3 layers, the higher precision and less computation time by this strategy are obtained than those by RBF model.

  14. [Transfer of Care Innovations from the Hamburg Network for Mental Health to other Health Regions].

    PubMed

    Tokar, Oksana; Dörbecker, Regine; Böhmann, Tilo; Härter, Martin

    2015-07-01

    The goal of this paper is to present the research conducted for systemizing network elements and analyzing their interconnection that emerged during the establishment and functioning of health care innovation project of psychenet - the Hamburg Network for Mental Health.Semi-structured manual-based face-to-face interviews with project researchers and leaders were conducted. The gathered data was validated and updated several times during the project duration. The results include a systematic description of 186 network elements developed during the overall project and respective subprojects. The elements were consolidated in a web-based database and integrated into the psychenet.de public website. A clustering of elements was conducted and modules of elements were generated based on the interconnection between the related elements.The systematic description of network elements as well as determination of their interconnection and dependency can play an important role in understanding the emergence and functioning of integrated mental health networks. The innovative medical networks prove to be complex service systems and urge for a grounded application of integration techniques in order to be successfully transferred and adopted in other regions. © Georg Thieme Verlag KG Stuttgart · New York.

  15. Prevalence of small-scale jets from the networks of the solar transition region and chromosphere.

    PubMed

    Tian, H; DeLuca, E E; Cranmer, S R; De Pontieu, B; Peter, H; Martínez-Sykora, J; Golub, L; McKillop, S; Reeves, K K; Miralles, M P; McCauley, P; Saar, S; Testa, P; Weber, M; Murphy, N; Lemen, J; Title, A; Boerner, P; Hurlburt, N; Tarbell, T D; Wuelser, J P; Kleint, L; Kankelborg, C; Jaeggli, S; Carlsson, M; Hansteen, V; McIntosh, S W

    2014-10-17

    As the interface between the Sun's photosphere and corona, the chromosphere and transition region play a key role in the formation and acceleration of the solar wind. Observations from the Interface Region Imaging Spectrograph reveal the prevalence of intermittent small-scale jets with speeds of 80 to 250 kilometers per second from the narrow bright network lanes of this interface region. These jets have lifetimes of 20 to 80 seconds and widths of ≤300 kilometers. They originate from small-scale bright regions, often preceded by footpoint brightenings and accompanied by transverse waves with amplitudes of ~20 kilometers per second. Many jets reach temperatures of at least ~10(5) kelvin and constitute an important element of the transition region structures. They are likely an intermittent but persistent source of mass and energy for the solar wind.

  16. Functionally connected brain regions in the network activated during capsaicin inhalation.

    PubMed

    Farrell, Michael J; Koch, Saskia; Ando, Ayaka; Cole, Leonie J; Egan, Gary F; Mazzone, Stuart B

    2014-11-01

    Coughing and the urge-to-cough are important mechanisms that protect the patency of the airways, and are coordinated by the brain. Inhaling a noxious substance leads to a widely distributed network of responses in the brain that are likely to reflect multiple functional processes requisite for perceiving, appraising, and behaviorally responding to airway challenge. The broader brain network responding to airway challenge likely contains subnetworks that are involved in the component functions required for coordinated protective behaviors. Functional connectivity analyses were used to determine whether brain responses to airway challenge could be differentiated regionally during inhalation of the tussive substance capsaicin. Seed regions were defined according to outcomes of previous activation studies that identified regional brain responses consistent with cough suppression, stimulus intensity coding, and perception of urge-to-cough. The subnetworks during continuous inhalation of capsaicin recapitulated the distributed regions previously implicated in discrete functional components of airway challenge. The outcomes of this study highlight the central representation of airways defence as a distributed network. Copyright © 2014 Wiley Periodicals, Inc.

  17. A depression network of functionally connected regions discovered via multi-attribute canonical correlation graphs.

    PubMed

    Kang, Jian; Bowman, F DuBois; Mayberg, Helen; Liu, Han

    2016-11-01

    To establish brain network properties associated with major depressive disorder (MDD) using resting-state functional magnetic resonance imaging (Rs-fMRI) data, we develop a multi-attribute graph model to construct a region-level functional connectivity network that uses all voxel level information. For each region pair, we define the strength of the connectivity as the kernel canonical correlation coefficient between voxels in the two regions; and we develop a permutation test to assess the statistical significance. We also construct a network based classifier for making predictions on the risk of MDD. We apply our method to Rs-fMRI data from 20 MDD patients and 20 healthy control subjects in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study. Using this method, MDD patients can be distinguished from healthy control subjects based on significant differences in the strength of regional connectivity. We also demonstrate the performance of the proposed method using simulationstudies.

  18. Dynamic connectivity modulates local activity in the core regions of the default-mode network.

    PubMed

    Tang, Wei; Liu, Hesheng; Douw, Linda; Kramer, Mark A; Eden, Uri T; Hämäläinen, Matti S; Stufflebeam, Steven M

    2017-09-05

    Segregation and integration are distinctive features of large-scale brain activity. Although neuroimaging studies have been unraveling their neural correlates, how integration takes place over segregated modules remains elusive. Central to this problem is the mechanism by which a brain region adjusts its activity according to the influence it receives from other regions. In this study, we explore how dynamic connectivity between two regions affects the neural activity within a participating region. Combining functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) in the same group of subjects, we analyzed resting-state data from the core of the default-mode network. We observed directed influence from the posterior cingulate cortex (PCC) to the anterior cingulate cortex (ACC) in the 10-Hz range. This time-varying influence was associated with the power alteration in the ACC: strong influence corresponded with a decrease of power around 13-16 Hz and an increase of power in the lower (1-7 Hz) and higher (30-55 Hz) ends of the spectrum. We also found that the amplitude of the 30- to 55-Hz activity was coupled to the phase of the 3- to 4-Hz activity in the ACC. These results characterized the local spectral changes associated with network interactions. The specific spectral information both highlights the functional roles of PCC-ACC connectivity in the resting state and provides insights into the dynamic relationship between local activity and coupling dynamics of a network.

  19. Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries

    PubMed Central

    Sobolevsky, Stanislav; Szell, Michael; Campari, Riccardo; Couronné, Thomas; Smoreda, Zbigniew; Ratti, Carlo

    2013-01-01

    Large-scale networks of human interaction, in particular country-wide telephone call networks, can be used to redraw geographical maps by applying algorithms of topological community detection. The geographic projections of the emerging areas in a few recent studies on single regions have been suggested to share two distinct properties: first, they are cohesive, and second, they tend to closely follow socio-economic boundaries and are similar to existing political regions in size and number. Here we use an extended set of countries and clustering indices to quantify overlaps, providing ample additional evidence for these observations using phone data from countries of various scales across Europe, Asia, and Africa: France, the UK, Italy, Belgium, Portugal, Saudi Arabia, and Ivory Coast. In our analysis we use the known approach of partitioning country-wide networks, and an additional iterative partitioning of each of the first level communities into sub-communities, revealing that cohesiveness and matching of official regions can also be observed on a second level if spatial resolution of the data is high enough. The method has possible policy implications on the definition of the borderlines and sizes of administrative regions. PMID:24367490

  20. Delineating geographical regions with networks of human interactions in an extensive set of countries.

    PubMed

    Sobolevsky, Stanislav; Szell, Michael; Campari, Riccardo; Couronné, Thomas; Smoreda, Zbigniew; Ratti, Carlo

    2013-01-01

    Large-scale networks of human interaction, in particular country-wide telephone call networks, can be used to redraw geographical maps by applying algorithms of topological community detection. The geographic projections of the emerging areas in a few recent studies on single regions have been suggested to share two distinct properties: first, they are cohesive, and second, they tend to closely follow socio-economic boundaries and are similar to existing political regions in size and number. Here we use an extended set of countries and clustering indices to quantify overlaps, providing ample additional evidence for these observations using phone data from countries of various scales across Europe, Asia, and Africa: France, the UK, Italy, Belgium, Portugal, Saudi Arabia, and Ivory Coast. In our analysis we use the known approach of partitioning country-wide networks, and an additional iterative partitioning of each of the first level communities into sub-communities, revealing that cohesiveness and matching of official regions can also be observed on a second level if spatial resolution of the data is high enough. The method has possible policy implications on the definition of the borderlines and sizes of administrative regions.

  1. Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining

    PubMed Central

    Tang, Tianyu; Zhou, Shilin; Deng, Zhipeng; Zou, Huanxin; Lei, Lin

    2017-01-01

    Detecting vehicles in aerial imagery plays an important role in a wide range of applications. The current vehicle detection methods are mostly based on sliding-window search and handcrafted or shallow-learning-based features, having limited description capability and heavy computational costs. Recently, due to the powerful feature representations, region convolutional neural networks (CNN) based detection methods have achieved state-of-the-art performance in computer vision, especially Faster R-CNN. However, directly using it for vehicle detection in aerial images has many limitations: (1) region proposal network (RPN) in Faster R-CNN has poor performance for accurately locating small-sized vehicles, due to the relatively coarse feature maps; and (2) the classifier after RPN cannot distinguish vehicles and complex backgrounds well. In this study, an improved detection method based on Faster R-CNN is proposed in order to accomplish the two challenges mentioned above. Firstly, to improve the recall, we employ a hyper region proposal network (HRPN) to extract vehicle-like targets with a combination of hierarchical feature maps. Then, we replace the classifier after RPN by a cascade of boosted classifiers to verify the candidate regions, aiming at reducing false detection by negative example mining. We evaluate our method on the Munich vehicle dataset and the collected vehicle dataset, with improvements in accuracy and robustness compared to existing methods. PMID:28208587

  2. Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining.

    PubMed

    Tang, Tianyu; Zhou, Shilin; Deng, Zhipeng; Zou, Huanxin; Lei, Lin

    2017-02-10

    Detecting vehicles in aerial imagery plays an important role in a wide range of applications. The current vehicle detection methods are mostly based on sliding-window search and handcrafted or shallow-learning-based features, having limited description capability and heavy computational costs. Recently, due to the powerful feature representations, region convolutional neural networks (CNN) based detection methods have achieved state-of-the-art performance in computer vision, especially Faster R-CNN. However, directly using it for vehicle detection in aerial images has many limitations: (1) region proposal network (RPN) in Faster R-CNN has poor performance for accurately locating small-sized vehicles, due to the relatively coarse feature maps; and (2) the classifier after RPN cannot distinguish vehicles and complex backgrounds well. In this study, an improved detection method based on Faster R-CNN is proposed in order to accomplish the two challenges mentioned above. Firstly, to improve the recall, we employ a hyper region proposal network (HRPN) to extract vehicle-like targets with a combination of hierarchical feature maps. Then, we replace the classifier after RPN by a cascade of boosted classifiers to verify the candidate regions, aiming at reducing false detection by negative example mining. We evaluate our method on the Munich vehicle dataset and the collected vehicle dataset, with improvements in accuracy and robustness compared to existing methods.

  3. Spatial patterns of soil moisture from two regional monitoring networks in the United States

    NASA Astrophysics Data System (ADS)

    Wang, Tiejun; Liu, Qin; Franz, Trenton E.; Li, Ruopu; Lang, Yunchao; Fiebrich, Christopher A.

    2017-09-01

    Understanding soil moisture spatial variability (SMSV) at regional scales is of great value for various purposes; however, relevant studies are still limited and have yielded inconsistent findings about the primary controls on regional SMSV. To further address this issue, long-term soil moisture data were retrieved from two large scale monitoring networks located in the continental United States, including the Michigan Automated Weather Network and the Oklahoma Mesonet. To evaluate different controls on SMSV, supporting datasets, which contained data on climate, soil, topography, and vegetation, were also compiled from various sources. Based on temporal stability analysis, the results showed that the mean relative difference (MRD) of soil moisture was more correlated with soil texture (e.g., negative correlations between MRD and sand fraction, and positive ones between MRD and silt and clay fractions) than with meteorological forcings in both regions, which differed from the traditional notion that meteorological forcings were the dominant controls on regional SMSV. Moreover, the results revealed that contrary to the previous conjecture, the use of soil moisture temporal anomaly did not reduce the impacts of static properties (e.g., soil properties) on soil moisture temporal dynamics. Instead, it was found that the magnitude of soil moisture temporal anomaly was mainly negatively correlated with sand fraction and positively with silt and clay fractions in both regions. Finally, the relationship between the spatial average and standard deviation of soil moisture as well as soil moisture temporal anomaly was investigated using the data from both networks. The field data showed that the relationship for both soil moisture and soil moisture temporal anomaly was more affected by soil texture than by climatic conditions (e.g., precipitation). The results of this study provided strong field evidence that local factors (e.g., soil properties) might outweigh regional

  4. NOAA/NCEI/Regional Climate Services: Working with Partners and Stakeholders across a Wide Network

    NASA Astrophysics Data System (ADS)

    Mecray, E. L.

    2015-12-01

    Federal agencies all require plans to be prepared at the state level that outline the implementation of funding to address wildlife habitat, human health, transportation infrastructure, coastal zone management, environmental management, emergency management, and others. These plans are now requiring the consideration of changing climate conditions. So where does a state turn to discuss lessons learned, obtain tools and information to assess climate conditions, and to work with other states in their region? Regional networks and collaboratives are working to deliver this sector by sector. How do these networks work? Do they fit together in any way? What similarities and differences exist? Is anyone talking across these lines to find common climate information requirements? A sketch is forming that links these efforts, not by blending the sectors, but by finding the areas where coordination is critical, where information needs are common, and where delivery mechanisms can be streamlined. NOAA/National Centers for Environmental Information's Regional Climate Services Directors have been working at the interface of stakeholder-driven information delivery since 2010. This talk will outline the regional climate services delivery framework for the Eastern Region, with examples of regional products and information.

  5. The Evolution and Expansion of Regional Disease Surveillance Networks and Their Role in Mitigating the Threat of Infectious Disease Outbreaks

    PubMed Central

    Bond, Katherine C.; Macfarlane, Sarah B.; Burke, Charlanne; Ungchusak, Kumnuan; Wibulpolprasert, Suwit

    2013-01-01

    We examine the emergence, development, and value of regional infectious disease surveillance networks that neighboring countries worldwide are organizing to control cross-border outbreaks at their source. The regional perspective represented in the paper is intended to serve as an instructive framework for others who decide to launch such networks as new technologies and emerging threats bring countries even closer together. Distinct from more formal networks in geographic regions designated by the World Health Organization (WHO), these networks usually involve groupings of fewer countries chosen by national governments to optimize surveillance efforts. Sometimes referred to as sub-regional, these “self-organizing” networks complement national and local government recognition with informal relationships across borders among epidemiologists, scientists, ministry officials, health workers, border officers, and community members. Their development over time reflects both incremental learning and growing connections among network actors; and changing disease patterns, with infectious disease threats shifting over time from local to regional to global levels. Not only has this regional disease surveillance network model expanded across the globe, it has also expanded from a mostly practitioner-based network model to one that covers training, capacity-building, and multidisciplinary research. Today, several of these networks are linked through Connecting Organizations for Regional Disease Surveillance (CORDS). We explore how regional disease surveillance networks add value to global disease detection and response by complementing other systems and efforts, by harnessing their power to achieve other goals such as health and human security, and by helping countries adapt to complex challenges via multi-sectoral solutions. We note that governmental commitment and trust among participating individuals are critical to the success of regional infectious disease

  6. The WMO RA VI Regional Climate Centre Network - a support to users in Europe

    NASA Astrophysics Data System (ADS)

    Rösner, S.

    2012-04-01

    Climate, like weather, has no limits. Therefore the World Meteorological Organization (WMO), a specialized United Nations organization, has established a three-level infrastructure to better serve its member countries. This structure comprises Global Producing Centres for Long-range Forecasts (GPCs), Regional Climate Centres (RCCs) and National Meteorological or Hydrometeorological Services (NMHSs), in most cases representing their countries in WMO governance bodies. The elements of this infrastructure are also part of and contribute to the Global Framework for Climate Services (GFCS) agreed to be established by World Climate Conference 3 (WCC-3) and last year's Sixteenth World Meteorological Congress (WMO Cg-XVI). RCCs are the core element of this infrastructure at the regional level and are being establish in all WMO Regional Associations (RAs), i.e. Africa (RA I); Asia (II); South America (III); North America, Central America and the Caribbean (IV); South-West Pacific (V); Europe (VI). Addressing inter-regional areas of common interest like the Mediterranean or the Polar Regions may require inter-regional RCCs. For each region the RCCs follow a user driven approach with regard to governance and structure as well as products generated for the users in the respective region. However, there are common guidelines all RCCs do have to follow. This is to make sure that services are provided based on best scientific standards, are routinely and reliably generated and made available in an operational mode. These guidelines are being developed within WMO and make use of decade-long experience gained in the business of operational weather forecast. Based on the requirements of the 50 member countries of WMO RA VI it was agreed to establish the WMO RCC as a network of centres of excellence that create regional products including long-range forecasts that support regional and national climate activities, and thereby strengthen the capacity of WMO Members in the region to

  7. Antiallergic and antiasthmatic effects of a novel enhydrazinone ester (CEE-1): inhibition of activation of both mast cells and eosinophils.

    PubMed

    Ezeamuzie, Charles I; El-Hashim, Ahmed Z; Renno, Waleed M; Edafiogho, Ivan O

    2014-08-01

    Activation of mast cells and eosinophils is a fundamental process in the pathophysiology of allergic diseases. We have previously reported that the novel enhydrazinone ester CEE-1 (ethyl 4-phenylhydrazinocyclohex-3-en-2-oxo-6-phenyl-1-oate) possesses potent anti-inflammatory activity. We have now tested whether the compound also possesses antiallergic and antiasthmatic effects in vitro and in vivo. The compound significantly inhibited degranulation and leukotriene C4 (LTC4) release from activated human eosinophils, as well as IgE-dependent degranulation and LTC4 release from passively sensitized rat basophilic leukemia cells and bone marrow-derived mouse mast cells. In human eosinophils, the drug was more potent in inhibiting degranulation than LTC4 release {IC50 = 0.4 μM [confidence interval (CI): 0.1-0.9] versus 3.8 μM (CI: 0.9-8.3)}, whereas in mast cells the reverse was essentially the case. The drug did not affect stimulus-induced calcium transients in eosinophils but significantly inhibited early phosphorylation of extracellular signal-regulated kinases 1/2 and p38-mitogen-activated protein kinases (MAPK). In vivo, topical application of 4.5-15 mg/kg of the compound significantly inhibited allergen-induced passive cutaneous anaphylaxis in mice. Similarly, in the mouse asthma model, the intranasal administration of 6.5-12.5 mg/kg of the compound significantly inhibited bronchial inflammation and eosinophil accumulation in bronchial lavage fluid, as well as abolishing airway hyper-responsiveness to methacholine. These results show that CEE-1 inhibits the activation of both mast cells and eosinophils in vitro, probably by blocking MAPK-activation pathways, and that these effects are translated into antiallergic and antiasthmatic effects in vivo. The compound, therefore, has potential application in the treatment of asthma and other allergic diseases.

  8. The European ALMA Regional Centre Network: A Geographically Distributed User Support Model

    NASA Astrophysics Data System (ADS)

    Hatziminaoglou, E.; Zwaan, M.; Andreani, P.; Barta, M.; Bertoldi, F.; Brand, J.; Gueth, F.; Hogerheijde, M.; Maercker, M.; Massardi, M.; Muehle, S.; Muxlow, Th.; Richards, A.; Schilke, P.; Tilanus, R.; Vlemmings, W.; Afonso, J.; Messias, H.

    2015-12-01

    In recent years there has been a paradigm shift from centralised to geographically distributed resources. Individual entities are no longer able to host or afford the necessary expertise in-house, and, as a consequence, society increasingly relies on widespread collaborations. Although such collaborations are now the norm for scientific projects, more technical structures providing support to a distributed scientific community without direct financial or other material benefits are scarce. The network of European ALMA Regional Centre (ARC) nodes is an example of such an internationally distributed user support network. It is an organised effort to provide the European ALMA user community with uniform expert support to enable optimal usage and scientific output of the ALMA facility. The network model for the European ARC nodes is described in terms of its organisation, communication strategies and user support.

  9. Optimal extension of the rain gauge monitoring network of the Apulian Regional Consortium for Crop Protection.

    PubMed

    Barca, E; Passarella, G; Uricchio, V

    2008-10-01

    The goal of this paper is to provide a methodology for assessing the optimal localization of new monitoring stations within an existing rain gauge monitoring network. The methodology presented, which uses geostatistics and probabilistic techniques (simulated annealing) combined with GIS instruments, could be extremely useful in any area where an extension of whatever existing environmental monitoring network is planned. The methodology has been applied to the design of an extension to a rainfall monitoring network in the Apulia region (South Italy). The considered monitoring network is managed by the Apulian Regional Consortium for Crop Protection (ARCCP), and, currently consists of 45 gauging stations distributed over the regional territory, mainly located on the basis of administrative needs. Fifty new stations have been added to the existing monitoring network, split in two groups: 15 fixed and 35 mobile stations. Two different methods were applied and tested: the Minimization of the Mean of Shortest Distances method (MMSD) and Ordinary Kriging (OK) whose related objective function is estimation variance. The MMSD, being a purely geometric method, produced a spatially uniform configuration of the gauging stations. On the contrary, the approach based on the minimization of the average of the kriging estimation variances, produced a less regular configuration, though a more reliable one from a spatial standpoint. Nevertheless, the MMSD approach was chosen, since the ARCCP's intention was to create a new monitoring network characterized by uniform spatial distribution throughout the regional territory. This was the most important constraint given to the project by the ARCCP, whose main objective was to accomplish a territorial network capable of detecting hazardous events quickly. A seasonal aggregation of the available rainfall data was considered. The choice of the temporal aggregation in quarterly averages allowed four different optimal configurations to be

  10. Quantification of Road Network Vulnerability and Traffic Impacts to Regional Landslide Hazards.

    NASA Astrophysics Data System (ADS)

    Postance, Benjamin; Hillier, John; Dixon, Neil; Dijkstra, Tom

    2015-04-01

    Slope instability represents a prevalent hazard to transport networks. In the UK regional road networks are frequently disrupted by multiple slope failures triggered during intense precipitation events; primarily due to a degree of regional homogeneity of slope materials, geomorphology and weather conditions. It is of interest to examine how different locations and combinations of slope failure impact road networks, particularly in the context of projected climate change and a 40% increase in UK road demand by 2040. In this study an extensive number (>50 000) of multiple failure event scenarios are simulated within a dynamic micro simulation to assess traffic impacts during peak flow (7 - 10 AM). Possible failure locations are selected within the county of Gloucestershire (3150 km2) using historic failure sites and British Geological Survey GeoSure data. Initial investigations employ a multiple linear regression analyses to consider the severity of traffic impacts, as measured by time, in respect of spatial and topographical network characteristics including connectivity, density and capacity in proximity to failure sites; the network distance between disruptions in multiple failure scenarios is used to consider the effects of spatial clustering. The UK Department of Transport road travel demand and UKCP09 weather projection data to 2080 provide a suitable basis for traffic simulations and probabilistic slope stability assessments. Future work will thus focus on the development of a catastrophe risk model to simulate traffic impacts under various narratives of future travel demand and slope instability under climatic change. The results of this investigation shall contribute to the understanding of road network vulnerabilities and traffic impacts from climate driven slope hazards.

  11. Regional and local networks of horizontal control, Cerro Prieto geothermal area

    USGS Publications Warehouse

    Massey, B.L.

    1979-01-01

    The Cerro Prieto geothermal area in the Mexicali Valley 30 km southeast of Mexicali, Baja California, is probably deforming due to (1) the extraction of large volumes of steam and hot water, and (2) active tectonism. Two networks of precise horizontal control were established in Mexicali Valley by the U.S. Geological Survey in 1977 - 1978 to measure both types of movement as they occur. These networks consisted of (1) a regional trilateration net brought into the mountain ranges west of the geothermal area from survey stations on an existing U.S. Geological Survey crustal-strain network north of the international border, and (2) a local net tied to stations in the regional net and encompassing the area of present and planned geothermal production. Survey lines in this net were selected to span areas of probable ground-surface movements in and around the geothermal area. Electronic distance measuring (EDM) instruments, operating with a modulated laser beam, were used to measure the distances between stations in both networks. The regional net was run using a highly precise long-range EDM instrument, helicopters for transportation of men and equipment to inaccessible stations on mountain peaks, and a fixed wing airplane flying along the line of sight. Precision of measurements with this complex long-range system approached 0-2 ppm of line length. The local net was measured with a medium-range EDM instrument requiring minimal ancillary equipment. Precision of measurements with this less complex system approached 3 ppm for the shorter line lengths. The detection and analysis of ground-surface movements resulting from tectonic strains or induced by geothermal fluid withdrawal is dependent on subsequent resurveys of these networks. ?? 1979.

  12. RADSS: an integration of GIS, spatial statistics, and network service for regional data mining

    NASA Astrophysics Data System (ADS)

    Hu, Haitang; Bao, Shuming; Lin, Hui; Zhu, Qing

    2005-10-01

    Regional data mining, which aims at the discovery of knowledge about spatial patterns, clusters or association between regions, has widely applications nowadays in social science, such as sociology, economics, epidemiology, crime, and so on. Many applications in the regional or other social sciences are more concerned with the spatial relationship, rather than the precise geographical location. Based on the spatial continuity rule derived from Tobler's first law of geography: observations at two sites tend to be more similar to each other if the sites are close together than if far apart, spatial statistics, as an important means for spatial data mining, allow the users to extract the interesting and useful information like spatial pattern, spatial structure, spatial association, spatial outlier and spatial interaction, from the vast amount of spatial data or non-spatial data. Therefore, by integrating with the spatial statistical methods, the geographical information systems will become more powerful in gaining further insights into the nature of spatial structure of regional system, and help the researchers to be more careful when selecting appropriate models. However, the lack of such tools holds back the application of spatial data analysis techniques and development of new methods and models (e.g., spatio-temporal models). Herein, we make an attempt to develop such an integrated software and apply it into the complex system analysis for the Poyang Lake Basin. This paper presents a framework for integrating GIS, spatial statistics and network service in regional data mining, as well as their implementation. After discussing the spatial statistics methods involved in regional complex system analysis, we introduce RADSS (Regional Analysis and Decision Support System), our new regional data mining tool, by integrating GIS, spatial statistics and network service. RADSS includes the functions of spatial data visualization, exploratory spatial data analysis, and

  13. Commuter networks and community detection: A method for planning sub regional areas

    NASA Astrophysics Data System (ADS)

    De Montis, Andrea; Caschili, Simone; Chessa, Alessandro

    2013-01-01

    A major issue for policy makers and planners is the definition of "ideal" regional partitions, i.e. the delimitation of sub-regional domains showing a sufficient level of homogeneity with respect to some specific territorial features. In this paper, we compare some intermediate body partitions of Sardinia, Italy, with patterns that emerge from the workers and students' commuting. We apply grouping methodologies based on the characterization of Sardinian commuting system as a complex weighted network. We adopt an algorithm based on the maximization of the weighted modularity of this network and detect productive basins composed by municipalities with degree of cohesiveness in terms of commuters' flows. The results of this study lead us to conclude that the recently instituded provinces in Sardinia have been designed -even unconsciously- as labour basins of municipalities with similar commuting behaviour.

  14. Statistical Study of Network Jets Observed in the Solar Transition Region: a Comparison Between Coronal Holes and Quiet-Sun Regions

    NASA Astrophysics Data System (ADS)

    Narang, Nancy; Arbacher, Rebecca T.; Tian, Hui; Banerjee, Dipankar; Cranmer, Steven R.; DeLuca, Ed E.; McKillop, Sean

    2016-04-01

    Recent IRIS observations have revealed a prevalence of intermittent small-scale jets with apparent speeds of 80 - 250 km s^{-1}, emanating from small-scale bright regions inside network boundaries of coronal holes. We find that these network jets appear not only in coronal holes but also in quiet-sun regions. Using IRIS 1330 Å (C II) slit-jaw images, we extracted several parameters of these network jets, e.g. apparent speed, length, lifetime, and increase in foot-point brightness. Using several observations, we find that some properties of the jets are very similar, but others are obviously different between the quiet Sun and coronal holes. For example, our study shows that the coronal-hole jets appear to be faster and longer than those in the quiet Sun. This can be directly attributed to a difference in the magnetic configuration of the two regions, with open magnetic field lines rooted in coronal holes and magnetic loops often present in the quiet Sun. We also detected compact bright loops that are most likely transition region loops and are mostly located in quiet-Sun regions. These small loop-like regions are generally devoid of network jets. In spite of different magnetic structures in the coronal hole and quiet Sun in the transition region, there appears to be no substantial difference for the increase in footpoint brightness of the jets, which suggests that the generation mechanism of these network jets is very likely the same in both regions.

  15. Increased default mode network connectivity and increased regional homogeneity in migraineurs without aura.

    PubMed

    Zhang, Jilei; Su, Jingjing; Wang, Mengxing; Zhao, Ying; Yao, Qian; Zhang, Qiting; Lu, Haifeng; Zhang, Hui; Wang, Shuo; Li, Ge-Fei; Wu, Yi-Lan; Liu, Feng-Di; Shi, Yan-Hui; Li, Jianqi; Liu, Jian-Ren; Du, Xiaoxia

    2016-12-01

    The precuneus/posterior cingulate cortex, which has been associated with pain sensitivity, plays a pivotal role in the default mode network. However, information regarding migraine-related alterations in resting-state brain functional connectivity in the default mode network and in local regional spontaneous neuronal activity is not adequate. This study used functional magnetic resonance imaging to acquire resting-state scans in 22 migraineurs without aura and in 22 healthy matched controls. Independent component analysis, a data-driven method, was used to calculate the resting-state functional connectivity of the default mode network in the patient and healthy control groups. Regional homogeneity (ReHo) was used to analyse the local features of spontaneous resting-state brain activity in the migraineurs without aura. Compared with the healthy controls, migraineurs without aura showed increased functional connectivity in the left precuneus/posterior cingulate cortex within the default mode network and significant increase in ReHo values in the bilateral precuneus/posterior cingulate cortex, left pons and trigeminal nerve entry zone. In addition, functional connectivity was decreased between the areas with abnormal ReHo (using the peaks in the precuneus/posterior cingulate cortex) and other brain areas. The abnormalities in the precuneus/posterior cingulate cortex suggest that migraineurs without aura may exhibit information transfer and multimodal integration dysfunction and that pain sensitivity and pian processing may also be affected.

  16. Towards a regional passive air sampling network and strategy for new POPs in the GRULAC region: Perspectives from the GAPS Network and first results for organophosphorus flame retardants.

    PubMed

    Rauert, Cassandra; Harner, Tom; Schuster, Jasmin K; Quinto, Karen; Fillmann, Gilberto; Castillo, Luisa Eugenia; Fentanes, Oscar; Ibarra, Martín Villa; Miglioranza, Karina S B; Rivadeneira, Isabel Moreno; Pozo, Karla; Puerta, Andrea Padilla; Zuluaga, Beatriz Helena Aristizábal

    2016-12-15

    A discussion is presented on the limitations for air monitoring studies around the Group of Latin American and Caribbean Countries (GRULAC), highlighting key issues requiring further attention, and reports on how a special initiative is addressing these limitations. Preliminary results are presented for the first reported data on organophosphorus flame retardant (OPFR) concentrations in outdoor air from the GRULAC region. At the majority of sites the concentrations and the profile of the OPFRs detected were similar with tris (chloroisopropyl) phosphate (TCPP) dominating (regional passive sampling networks (such as GAPS) can provide important new information to support risk assessment of these and similar chemicals. Finally, the various challenges with implementing a regional monitoring program are discussed, including harmonizing data from various monitoring programs for reporting to the GMP. Copyright © 2016 Elsevier B.V. All rights reserved.

  17. Renewable Resources: a national catalog of model projects. Volume 4. Western Solar Utilization Network Region

    SciTech Connect

    1980-07-01

    This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Western Solar Utilization Network Region. (WHK)

  18. Improved PPP Ambiguity Resolution Considering the Stochastic Characteristics of Atmospheric Corrections from Regional Networks.

    PubMed

    Li, Yihe; Li, Bofeng; Gao, Yang

    2015-11-30

    With the increased availability of regional reference networks, Precise Point Positioning (PPP) can achieve fast ambiguity resolution (AR) and precise positioning by assimilating the satellite fractional cycle biases (FCBs) and atmospheric corrections derived from these networks. In such processing, the atmospheric corrections are usually treated as deterministic quantities. This is however unrealistic since the estimated atmospheric corrections obtained from the network data are random and furthermore the interpolated corrections diverge from the realistic corrections. This paper is dedicated to the stochastic modelling of atmospheric corrections and analyzing their effects on the PPP AR efficiency. The random errors of the interpolated corrections are processed as two components: one is from the random errors of estimated corrections at reference stations, while the other arises from the atmospheric delay discrepancies between reference stations and users. The interpolated atmospheric corrections are then applied by users as pseudo-observations with the estimated stochastic model. Two data sets are processed to assess the performance of interpolated corrections with the estimated stochastic models. The results show that when the stochastic characteristics of interpolated corrections are properly taken into account, the successful fix rate reaches 93.3% within 5 min for a medium inter-station distance network and 80.6% within 10 min for a long inter-station distance network.

  19. Improved PPP Ambiguity Resolution Considering the Stochastic Characteristics of Atmospheric Corrections from Regional Networks

    PubMed Central

    Li, Yihe; Li, Bofeng; Gao, Yang

    2015-01-01

    With the increased availability of regional reference networks, Precise Point Positioning (PPP) can achieve fast ambiguity resolution (AR) and precise positioning by assimilating the satellite fractional cycle biases (FCBs) and atmospheric corrections derived from these networks. In such processing, the atmospheric corrections are usually treated as deterministic quantities. This is however unrealistic since the estimated atmospheric corrections obtained from the network data are random and furthermore the interpolated corrections diverge from the realistic corrections. This paper is dedicated to the stochastic modelling of atmospheric corrections and analyzing their effects on the PPP AR efficiency. The random errors of the interpolated corrections are processed as two components: one is from the random errors of estimated corrections at reference stations, while the other arises from the atmospheric delay discrepancies between reference stations and users. The interpolated atmospheric corrections are then applied by users as pseudo-observations with the estimated stochastic model. Two data sets are processed to assess the performance of interpolated corrections with the estimated stochastic models. The results show that when the stochastic characteristics of interpolated corrections are properly taken into account, the successful fix rate reaches 93.3% within 5 min for a medium inter-station distance network and 80.6% within 10 min for a long inter-station distance network. PMID:26633400

  20. Prevalence of Micro-Jets from the Network Structures of the Solar Transition Region and Chromosphere

    NASA Astrophysics Data System (ADS)

    DeLuca, E. E.; Tian, H.; Cranmer, S. R.; Reeves, K.; Miralles, M. P.; McCauley, P.; McKillop, S.

    2014-12-01

    IRIS observations in the 1330Å, 1400Å and 2796Å passbands have revealed numerous small-scale jet-like features with speeds of ~80-250 km/s from the chromospheric network. These network jets occur in both the quiet Sun and coronal holes. Their widths are often ~300 km or less. Many of these jets show up as elongated features with enhanced line width in maps obtained with transition region (TR) lines, suggesting that these jets reach at least TR temperatures and they constitute an important element of TR structures. The ubiquitous presence of these high-reaching (often >10 Mm) jets also suggests that they may play a crucial role in the mass and energy budgets of the corona and solar wind. The generation of these jets in the network and the accompanying Alfven waves is also consistent with the "magnetic furnace model" of solar wind proposed by Axford & McKenzie (1992). The large speeds (greater than sound speed) suggest that the Lorentz force (perhaps related to reconnection) must play an important role in the generation and propagation of the network jets. We believe that many network jets are the on-disk counterparts and TR manifestation of type-II spicules.

  1. Chronic ethanol exposure produces time- and brain region-dependent changes in gene coexpression networks.

    PubMed

    Osterndorff-Kahanek, Elizabeth A; Becker, Howard C; Lopez, Marcelo F; Farris, Sean P; Tiwari, Gayatri R; Nunez, Yury O; Harris, R Adron; Mayfield, R Dayne

    2015-01-01

    Repeated ethanol exposure and withdrawal in mice increases voluntary drinking and represents an animal model of physical dependence. We examined time- and brain region-dependent changes in gene coexpression networks in amygdala (AMY), nucleus accumbens (NAC), prefrontal cortex (PFC), and liver after four weekly cycles of chronic intermittent ethanol (CIE) vapor exposure in C57BL/6J mice. Microarrays were used to compare gene expression profiles at 0-, 8-, and 120-hours following the last ethanol exposure. Each brain region exhibited a large number of differentially expressed genes (2,000-3,000) at the 0- and 8-hour time points, but fewer changes were detected at the 120-hour time point (400-600). Within each region, there was little gene overlap across time (~20%). All brain regions were significantly enriched with differentially expressed immune-related genes at the 8-hour time point. Weighted gene correlation network analysis identified modules that were highly enriched with differentially expressed genes at the 0- and 8-hour time points with virtually no enrichment at 120 hours. Modules enriched for both ethanol-responsive and cell-specific genes were identified in each brain region. These results indicate that chronic alcohol exposure causes global 'rewiring' of coexpression systems involving glial and immune signaling as well as neuronal genes.

  2. Evaluating Form and Function of Regional Partnerships: Applying Social Network Analysis to the "Network for a Healthy California", 2001-2007

    ERIC Educational Resources Information Center

    Gregson, Jennifer; Sowa, Marcy; Flynn, Heather Kohler

    2011-01-01

    Objective: To evaluate the partnership structure of the "Network for a Healthy California" ("Network"), a social marketing program, from 2001-2007, to determine if California's program was able to establish and maintain partnerships that (1) provided access to a local audience, (2) facilitated regional collaboration, (3)…

  3. Networking and Development: A Feasibility Study for the Social and Human Sciences Division of UNESCO into the Development of Networking Facilities in the ECA and ECWA Regions.

    ERIC Educational Resources Information Center

    Lindsay, John

    This study was performed to discern the feasibility of a Pan-African Network of Social Science Information and Documentation Centres and Services that would serve the regions covered by the Economic Commission for Africa (ECA) and the Economic Commission for Western Asia (ECWA). This report on the study outlines the various forms networking can…

  4. Evaluating Form and Function of Regional Partnerships: Applying Social Network Analysis to the "Network for a Healthy California", 2001-2007

    ERIC Educational Resources Information Center

    Gregson, Jennifer; Sowa, Marcy; Flynn, Heather Kohler

    2011-01-01

    Objective: To evaluate the partnership structure of the "Network for a Healthy California" ("Network"), a social marketing program, from 2001-2007, to determine if California's program was able to establish and maintain partnerships that (1) provided access to a local audience, (2) facilitated regional collaboration, (3)…

  5. Rare regions of the susceptible-infected-susceptible model on Barabási-Albert networks.

    PubMed

    Ódor, Géza

    2013-04-01

    I extend a previous work to susceptible-infected-susceptible (SIS) models on weighted Barabási-Albert scale-free networks. Numerical evidence is provided that phases with slow, power-law dynamics emerge as the consequence of quenched disorder and tree topologies studied previously with the contact process. I compare simulation results with spectral analysis of the networks and show that the quenched mean-field (QMF) approximation provides a reliable, relatively fast method to explore activity clustering. This suggests that QMF can be used for describing rare-region effects due to network inhomogeneities. Finite-size study of the QMF shows the expected disappearance of the epidemic threshold λ(c) in the thermodynamic limit and an inverse participation ratio ~0.25, meaning localization in case of disassortative weight scheme. Contrarily, for the multiplicative weights and the unweighted trees, this value vanishes in the thermodynamic limit, suggesting only weak rare-region effects in agreement with the dynamical simulations. Strong corrections to the mean-field behavior in case of disassortative weights explains the concave shape of the order parameter ρ(λ) at the transition point. Application of this method to other models may reveal interesting rare-region effects, Griffiths phases as the consequence of quenched topological heterogeneities.

  6. The road to reorganization. A system keeps its regional network all in the family.

    PubMed

    Haglund, C

    1989-11-01

    One prominent strategy health-care institutions are pursuing today is the formation of regional networks providing comprehensive continuums of care. Regional activities can be organized according to several distinct geographical parameters: city, county, state, or multistate regions. Although the different types of regionalization may be beneficial, they will generate different types of activities and benefits. Another consideration is that regional structures can range from very loose affiliations to complete ownership. In 1987 the Sisters of Providence health system, Seattle, initiated efforts to create a functionally integrated regional healthcare system in the Portland, OR, market, which had a good framework in place for developing a vertically and horizontally linked comprehensive continuum of care. The Oregon Management Committee, composed of local administrators, was established to identify issues and develop common objectives. The group developed a regional strategic plan and identified eight key areas to begin regionally coordinated activities. It began creating working relationships among institutional counterparts and program integration in several outpatient service areas where duplication was evident. Another effort involved greater coordination of marketing activities.

  7. Dense Regional GPS Networks for Real-Time Crustal Motion and Seismic Monitoring (Invited)

    NASA Astrophysics Data System (ADS)

    Bock, Y.; Crowell, B. W.; Melgar Moctezuma, D.

    2010-12-01

    Dense regional GPS networks for real-time crustal deformation and seismic monitoring at high-rates have been under development over the last decade. Prominent examples are Japan’s nationwide GEONET consisting of about 1200 stations at nominal 20 km spacing, and about 425 stations in separate efforts in southern California, northern California, and the Cascadia region with nominal spacing of 10-40 km. These developments have piggy-backed on existing continuous GPS infrastructure of thousands of stations, which operates at lower sampling rates and whose primary focus has been longer-period crustal motion monitoring with post-processed daily or sub-daily positions. We focus on our experience with the on-the-fly analysis of more than 100 stations of the California Real Time Network during the 2010 Mw 7.2 El Mayor-Cucapah earthquake and extrapolate lessons learned to networks with an order of magnitude more stations. Compared to the current state of the art in recording medium to large earthquakes, real-time high-rate displacement measurements have the advantages that they are measured directly, their signal-to-noise ratio increases with the intensity of shaking, and they include the static (permanent, coseismic) surface deformation as well as any post-seismic displacements and strain transients whether or not these are accompanied by seismic shaking. Although there will always be a role for post-processing of large time chunks of GPS (and soon GNSS) data, we believe that with robust data communications it will be more efficient to collect and analyze data on-the-fly in a continuous stream, and that this can be done with little practical loss in precision and accuracy. This is especially the case for networks of thousands of regional-scale stations. Furthermore, it is the only feasible option for the collection and analysis of high-rate data (1 Hz or greater), and in combination with seismic strong motion data, it is required for mitigating seismic hazards through

  8. HIV Transmission Networks in the San Diego–Tijuana Border Region

    PubMed Central

    Mehta, Sanjay R.; Wertheim, Joel O.; Brouwer, Kimberly C.; Wagner, Karla D.; Chaillon, Antoine; Strathdee, Steffanie; Patterson, Thomas L.; Rangel, Maria G.; Vargas, Mlenka; Murrell, Ben; Garfein, Richard; Little, Susan J.; Smith, Davey M.

    2015-01-01

    Background HIV sequence data can be used to reconstruct local transmission networks. Along international borders, like the San Diego–Tijuana region, understanding the dynamics of HIV transmission across reported risks, racial/ethnic groups, and geography can help direct effective prevention efforts on both sides of the border. Methods We gathered sociodemographic, geographic, clinical, and viral sequence data from HIV infected individuals participating in ten studies in the San Diego–Tijuana border region. Phylogenetic and network analysis was performed to infer putative relationships between HIV sequences. Correlates of identified clusters were evaluated and spatiotemporal relationships were explored using Bayesian phylogeographic analysis. Findings After quality filtering, 843 HIV sequences with associated demographic data and 263 background sequences from the region were analyzed, and 138 clusters were inferred (2–23 individuals). Overall, the rate of clustering did not differ by ethnicity, residence, or sex, but bisexuals were less likely to cluster than heterosexuals or men who have sex with men (p = 0.043), and individuals identifying as white (p ≤ 0.01) were more likely to cluster than other races. Clustering individuals were also 3.5 years younger than non-clustering individuals (p < 0.001). Although the sampled San Diego and Tijuana epidemics were phylogenetically compartmentalized, five clusters contained individuals residing on both sides of the border. Interpretation This study sampled ~ 7% of HIV infected individuals in the border region, and although the sampled networks on each side of the border were largely separate, there was evidence of persistent bidirectional cross-border transmissions that linked risk groups, thus highlighting the importance of the border region as a “melting pot” of risk groups. Funding NIH, VA, and Pendleton Foundation. PMID:26629540

  9. HIV Transmission Networks in the San Diego-Tijuana Border Region.

    PubMed

    Mehta, Sanjay R; Wertheim, Joel O; Brouwer, Kimberly C; Wagner, Karla D; Chaillon, Antoine; Strathdee, Steffanie; Patterson, Thomas L; Rangel, Maria G; Vargas, Mlenka; Murrell, Ben; Garfein, Richard; Little, Susan J; Smith, Davey M

    2015-10-01

    HIV sequence data can be used to reconstruct local transmission networks. Along international borders, like the San Diego-Tijuana region, understanding the dynamics of HIV transmission across reported risks, racial/ethnic groups, and geography can help direct effective prevention efforts on both sides of the border. We gathered sociodemographic, geographic, clinical, and viral sequence data from HIV infected individuals participating in ten studies in the San Diego-Tijuana border region. Phylogenetic and network analysis was performed to infer putative relationships between HIV sequences. Correlates of identified clusters were evaluated and spatiotemporal relationships were explored using Bayesian phylogeographic analysis. After quality filtering, 843 HIV sequences with associated demographic data and 263 background sequences from the region were analyzed, and 138 clusters were inferred (2-23 individuals). Overall, the rate of clustering did not differ by ethnicity, residence, or sex, but bisexuals were less likely to cluster than heterosexuals or men who have sex with men (p = 0.043), and individuals identifying as white (p ≤ 0.01) were more likely to cluster than other races. Clustering individuals were also 3.5 years younger than non-clustering individuals (p < 0.001). Although the sampled San Diego and Tijuana epidemics were phylogenetically compartmentalized, five clusters contained individuals residing on both sides of the border. This study sampled ~ 7% of HIV infected individuals in the border region, and although the sampled networks on each side of the border were largely separate, there was evidence of persistent bidirectional cross-border transmissions that linked risk groups, thus highlighting the importance of the border region as a "melting pot" of risk groups. NIH, VA, and Pendleton Foundation.

  10. [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.

  11. Isoscapes of tree-ring carbon-13 perform like meteorological networks in predicting regional precipitation patterns

    NASA Astrophysics Data System (ADS)

    del Castillo, Jorge; Aguilera, Mònica; Voltas, Jordi; Ferrio, Juan Pedro

    2013-04-01

    Stable isotopes in tree rings provide climatic information with annual resolution dating back for centuries or even millennia. However, deriving spatially explicit climate models from isotope networks remains challenging. Here we propose a methodology to model regional precipitation from carbon isotope discrimination (Δ13C) in tree rings by (1) building regional spatial models of Δ13C (isoscapes), and (2) deriving precipitation maps from 13C-isoscapes, taking advantage of the response of Δ13C to precipitation in seasonally-dry climates. As a case study, we modeled the spatial distribution of mean annual precipitation (MAP) in the northeastern Iberian Peninsula, a region with complex orography and climate (MAP=303-1086 mm). We compiled wood Δ13C data for two Mediterranean species that exhibit complementary responses to seasonal precipitation (Pinus halepensis Mill., N=38; Quercus ilex L.; N=44; pooling period: 1975-2008). By combining multiple regression and geostatistical interpolation, we generated one 13C-isoscape for each species. A spatial model of MAP was then built as the sum of two complementary maps of seasonal precipitation, each one derived from the corresponding 13C-isoscape (September-November from Q. ilex; December-August from P. halepensis). Our approach showed a predictive power for MAP (RMSE=84 mm) nearly identical to that obtained by interpolating data directly from a similarly dense network of meteorological stations (RMSE=80-83 mm, N=65), being only outperformed when using a much denser meteorological network (RMSE=56-57 mm, N=340). This method offers new avenues for modeling spatial variability of past precipitation, exploiting the large amount of information currently available from tree-ring networks. Acknowledgements: This work was funded by MC-ERG-246725 (FP7, EU) and AGL 2012-40039-C02-02 (MINECO, Spain). JdC and JPF are supported by FPI fellowship (MCINN) and Ramón y Cajal programme (RYC-2008-02050, MINECO), respectively.

  12. Isoscapes of tree-ring carbon-13 perform like meteorological networks in predicting regional precipitation patterns

    NASA Astrophysics Data System (ADS)

    Castillo, Jorge; Aguilera, Mònica; Voltas, Jordi; Ferrio, Juan Pedro

    2013-03-01

    isotopes in tree rings provide climatic information with annual resolution dating back for centuries or even millennia. However, deriving spatially explicit climate models from isotope networks remains challenging. Here we propose a methodology to model regional precipitation from carbon isotope discrimination (Δ13C) in tree rings by (1) building regional spatial models of Δ13C (isoscapes) and (2) deriving precipitation maps from Δ13C-isoscapes, taking advantage of the response of Δ13C to precipitation in seasonally dry climates. As a case study, we modeled the spatial distribution of mean annual precipitation (MAP) in the northeastern Iberian Peninsula, a region with complex topography and climate (MAP = 303-1086 mm). We compiled wood Δ13C data for two Mediterranean species that exhibit complementary responses to seasonal precipitation (Pinus halepensis Mill., N = 38; Quercus ilex L.; N = 44; pooling period: 1975-2008). By combining multiple regression and geostatistical interpolation, we generated one Δ13 C-isoscape for each species. A spatial model of MAP was then built as the sum of two complementary maps of seasonal precipitation, each one derived from the corresponding Δ13C-isoscape (September-November from Q. ilex; December-August from P. halepensis). Our approach showed a predictive power for MAP (RMSE = 84 mm) nearly identical to that obtained by interpolating data directly from a similarly dense network of meteorological stations (RMSE = 80-83 mm, N = 65), being only outperformed when using a much denser meteorological network (RMSE = 56-57 mm, N = 340). This method offers new avenues for modeling spatial variability of past precipitation, exploiting the large amount of information currently available from tree-ring networks.

  13. The collaborative experience of creating the National Capital Region Disease Surveillance Network.

    PubMed

    Lewis, Sheri H; Holtry, Rekha S; Loschen, Wayne A; Wojcik, Richard; Hung, Lang; Lombardo, Joseph

    2011-01-01

    The Johns Hopkins University Applied Physics Laboratory (JHU/APL) implemented state and district surveillance nodes in a central aggregated node in the National Capital Region (NCR). Within this network, de-identified health information is integrated with other indicator data and is made available to local and state health departments for enhanced disease surveillance. Aggregated data made available to the central node enable public health practitioners to observe abnormal behavior of health indicators spanning jurisdictions and view geographical spread of outbreaks across regions.Forming a steering committee, the NCR Enhanced Surveillance Operating Group (ESOG), was key to overcoming several data-sharing issues. The committee was composed of epidemiologists and key public health practitioners from the 3 jurisdictions. The ESOG facilitated early system development and signing of the cross-jurisdictional data-sharing agreement. This agreement was the first of its kind at the time and provided the legal foundation for sharing aggregated health information across state/district boundaries for electronic disease surveillance.Electronic surveillance system for the early notification of community-based epidemics provides NCR users with a comprehensive regional view to ascertain the spread of disease, estimate resource needs, and implement control measures. This article aims to describe the creation of the NCR Disease Surveillance Network as an exceptional example of cooperation and potential that exists for regional surveillance activities.

  14. Recurrent synapses and circuits in the CA3 region of the hippocampus: an associative network.

    PubMed

    Le Duigou, Caroline; Simonnet, Jean; Teleñczuk, Maria T; Fricker, Desdemona; Miles, Richard

    2014-01-08

    In the CA3 region of the hippocampus, pyramidal cells excite other pyramidal cells and interneurons. The axons of CA3 pyramidal cells spread throughout most of the region to form an associative network. These connections were first drawn by Cajal and Lorente de No. Their physiological properties were explored to understand epileptiform discharges generated in the region. Synapses between pairs of pyramidal cells involve one or few release sites and are weaker than connections made by mossy fibers on CA3 pyramidal cells. Synapses with interneurons are rather effective, as needed to control unchecked excitation. We examine contributions of recurrent synapses to epileptiform synchrony, to the genesis of sharp waves in the CA3 region and to population oscillations at theta and gamma frequencies. Recurrent connections in CA3, as other associative cortices, have a lower connectivity spread over a larger area than in primary sensory cortices. This sparse, but wide-ranging connectivity serves the functions of an associative network, including acquisition of neuronal representations as activity in groups of CA3 cells and completion involving the recall from partial cues of these ensemble firing patterns.

  15. La Red Regional Replad: Una Estrategia Innovadora para la Capacitacion de Administradores Educacionales (The Regional Network Replad: An Innovative Strategy for the Training and Preparation of Educational Administrators).

    ERIC Educational Resources Information Center

    Jimenez Espinoza, Jorge

    This document presents an overview, analysis, and historical assessment of the Major Project for Education in Latin America and the Caribbean. Conferences, regional meetings, and outcomes from the inception of the project in 1979 are described. This project stresses the establishment of a regional network for exchange of information, experiences,…

  16. La Red Regional Replad: Una Estrategia Innovadora para la Capacitacion de Administradores Educacionales (The Regional Network Replad: An Innovative Strategy for the Training and Preparation of Educational Administrators).

    ERIC Educational Resources Information Center

    Jimenez Espinoza, Jorge

    This document presents an overview, analysis, and historical assessment of the Major Project for Education in Latin America and the Caribbean. Conferences, regional meetings, and outcomes from the inception of the project in 1979 are described. This project stresses the establishment of a regional network for exchange of information, experiences,…

  17. Effects of Beta-Amyloid on Resting State Functional Connectivity Within and Between Networks Reflect Known Patterns of Regional Vulnerability

    DOE PAGES

    Elman, Jeremy A.; Madison, Cindee M.; Baker, Suzanne L.; ...

    2014-11-07

    In Alzheimer's disease (AD), Beta-amyloid (Aβ) deposition is one of the hallmarks. However, it is also present in some cognitively normal elderly adults and may represent a preclinical disease state. While AD patients exhibit disrupted functional connectivity (FC) both within and between resting-state networks, studies of preclinical cases have focused primarily on the default mode network (DMN). The extent to which Aβ-related effects occur outside of the DMN and between networks remains unclear. In the present study, we examine how within- and between-network FC are related to both global and regional Aβ deposition as measured by [ 11 C]PIB-PET inmore » 92 cognitively normal older people. We found that within-network FC changes occurred in multiple networks, including the DMN. Changes of between-network FC were also apparent, suggesting that regions maintaining connections to multiple networks may be particularly susceptible to Aβ-induced alterations. Cortical regions showing altered FC clustered in parietal and temporal cortex, areas known to be susceptible to AD pathology. These results likely represent a mix of local network disruption, compensatory reorganization, and impaired control network function. They indicate the presence of Aβ-related dysfunction of neural systems in cognitively normal people well before these areas become hypometabolic with the onset of cognitive decline.« less

  18. Effects of Beta-Amyloid on Resting State Functional Connectivity Within and Between Networks Reflect Known Patterns of Regional Vulnerability

    SciTech Connect

    Elman, Jeremy A.; Madison, Cindee M.; Baker, Suzanne L.; Vogel, Jacob W.; Marks, Shawn M.; Crowley, Sam; O'Neil, James P.; Jagust, William J.

    2014-11-07

    In Alzheimer's disease (AD), Beta-amyloid (Aβ) deposition is one of the hallmarks. However, it is also present in some cognitively normal elderly adults and may represent a preclinical disease state. While AD patients exhibit disrupted functional connectivity (FC) both within and between resting-state networks, studies of preclinical cases have focused primarily on the default mode network (DMN). The extent to which Aβ-related effects occur outside of the DMN and between networks remains unclear. In the present study, we examine how within- and between-network FC are related to both global and regional Aβ deposition as measured by [ 11 C]PIB-PET in 92 cognitively normal older people. We found that within-network FC changes occurred in multiple networks, including the DMN. Changes of between-network FC were also apparent, suggesting that regions maintaining connections to multiple networks may be particularly susceptible to Aβ-induced alterations. Cortical regions showing altered FC clustered in parietal and temporal cortex, areas known to be susceptible to AD pathology. These results likely represent a mix of local network disruption, compensatory reorganization, and impaired control network function. They indicate the presence of Aβ-related dysfunction of neural systems in cognitively normal people well before these areas become hypometabolic with the onset of cognitive decline.

  19. Effects of Beta-Amyloid on Resting State Functional Connectivity Within and Between Networks Reflect Known Patterns of Regional Vulnerability

    PubMed Central

    Elman, Jeremy A.; Madison, Cindee M.; Baker, Suzanne L.; Vogel, Jacob W.; Marks, Shawn M.; Crowley, Sam; O'Neil, James P.; Jagust, William J.

    2016-01-01

    Beta-amyloid (Aβ) deposition is one of the hallmarks of Alzheimer's disease (AD). However, it is also present in some cognitively normal elderly adults and may represent a preclinical disease state. While AD patients exhibit disrupted functional connectivity (FC) both within and between resting-state networks, studies of preclinical cases have focused primarily on the default mode network (DMN). The extent to which Aβ-related effects occur outside of the DMN and between networks remains unclear. In the present study, we examine how within- and between-network FC are related to both global and regional Aβ deposition as measured by [11C]PIB-PET in 92 cognitively normal older people. We found that within-network FC changes occurred in multiple networks, including the DMN. Changes of between-network FC were also apparent, suggesting that regions maintaining connections to multiple networks may be particularly susceptible to Aβ-induced alterations. Cortical regions showing altered FC clustered in parietal and temporal cortex, areas known to be susceptible to AD pathology. These results likely represent a mix of local network disruption, compensatory reorganization, and impaired control network function. They indicate the presence of Aβ-related dysfunction of neural systems in cognitively normal people well before these areas become hypometabolic with the onset of cognitive decline. PMID:25405944

  20. Plate Boundary Observatory Southwest Region Network Operations, Expansion and Communications Hardening

    NASA Astrophysics Data System (ADS)

    Mann, D.; Walls, C. P.; Basset, A.; Turner, R.; Lawrence, S.; Feaux, K.; Mattioli, G. S.

    2014-12-01

    The Southwest Region of the Plate Boundary Observatory manages 480 continuously operating GPS stations located principally along the transform system of the San Andreas fault, Eastern California Shear Zone and the northern Baja peninsula. In the past year, network uptime averaged 98% with greater than 99% data acquisition. In an effort to modernize the network, we have started to replace Trimble NETRS receivers with GNSS capable NETR9 receivers. Currently, we have 431 NetRS receivers deployed in the region, and 48 NetR9 receivers. In addition, 82 stations (17%) stream 1 Hz data over the VRS3Net typically with <0.5 second latency and an average completeness of >92%. Based on their typical data download rates, approximately 252 (53%) of all stations are capable of streaming 1 Hz, but have not yet been added to the real time network because of lack of resources. In the immediate aftermath of the M8.2 Chile earthquake in April 2014, high rate data downloads from the entire SW network had a success rate of 95% and 71% for 1 Hz and 5 Hz data downloads respectively. We have continued to upgrade critical radio networks, including the San Francisco Bay Area, Anza Borrego, and Santa Barbara networks. These efforts are ongoing, but they have already significantly improved data download rates and dependability. We are also converting cell modem to radio communications whenever possible for increased reliability and cost savings. In December 2013 the 13-station Edison network expansion was completed through cost recovery contracts. These stations span coastal southern California in Orange, San Diego and Los Angeles counties including a hybrid site on the Elly oil platform. The primary purpose of the stations is to aid in the seismic source characterization of the San Onofre Nuclear Generating Station and assess the strain field associated with the Oceanside Blind Thrust and Newport Inglewood fault. The new stations fill a gap between SCIGN and PBO. Three sites have WXT520

  1. A look at the ASEAN-NDI: building a regional health R&D innovation network

    PubMed Central

    2014-01-01

    Globally, there are growing efforts to address diseases through the advancement in health research and development (R&D), strengthening of regional cooperation in science and technology (particularly on product discovery and development), and implementation of the World Health Assembly Resolution 61.21 (WHA61.21) on the Global Strategy and Plan of Action on Public Health, Innovation, and Intellectual Property (GSPA-PHI). As such, the Association of Southeast Asian Nations (ASEAN) is responding to this through the establishment of the ASEAN-Network for Drugs, Diagnostics, Vaccines, and Traditional Medicines Innovation (ASEAN-NDI). This is important in the ASEAN considering that infectious tropical diseases remain prevalent, emerging, and reemerging in the region. This paper looks into the evolution of the ASEAN-NDI from its inception in 2009, to how it is at present, and its plans to mitigate public health problems regionally and even globally. PMID:24834349

  2. A look at the ASEAN-NDI: building a regional health R&D innovation network.

    PubMed

    Montoya, Jaime C; Rebulanan, Carina L; Parungao, Nico Angelo C; Ramirez, Bernadette

    2014-01-01

    Globally, there are growing efforts to address diseases through the advancement in health research and development (R&D), strengthening of regional cooperation in science and technology (particularly on product discovery and development), and implementation of the World Health Assembly Resolution 61.21 (WHA61.21) on the Global Strategy and Plan of Action on Public Health, Innovation, and Intellectual Property (GSPA-PHI). As such, the Association of Southeast Asian Nations (ASEAN) is responding to this through the establishment of the ASEAN-Network for Drugs, Diagnostics, Vaccines, and Traditional Medicines Innovation (ASEAN-NDI). This is important in the ASEAN considering that infectious tropical diseases remain prevalent, emerging, and reemerging in the region. This paper looks into the evolution of the ASEAN-NDI from its inception in 2009, to how it is at present, and its plans to mitigate public health problems regionally and even globally.

  3. Youth Transitions and Network Consolidation. Regional Workshop, 20-22 May 2014 in Gaborone, Botswana. Meeting Report

    ERIC Educational Resources Information Center

    UNESCO-UNEVOC International Centre for Technical and Vocational Education and Training, 2014

    2014-01-01

    This workshop was designed based on the following objectives: (1) to place youth employment and related issues on the regional political agenda; to highlight regional success stories; (2) to further strengthen the UNEVOC Network consolidation process in the region; (3) to provide a platform for learning and sharing experiences; and (4) to offer an…

  4. Adaptive Resonance Theory Neural Networks for Astronomical Region of Interest Detection and Noise Characterization

    NASA Astrophysics Data System (ADS)

    Young, R. J.; Ritthaler, M. Healy, M.; Caudell, T. P. Zimmer, P.; McGraw, J.

    2007-10-01

    While learning algorithms have been used for astronomical data analysis, the vast majority of those algorithms have used supervised learning. We examine the use of two types of Adaptive Resonance Theory (ART) (Carpenter & Grossberg 1987) neural networks which use unsupervised learning for this task. Using synthetic astronomical data from SkyMaker which was designed to mimic the dynamic range of the CTI-II telescope, we compared the ability of the ART-1 neural network and the ART-1 neural network with a category theoretic modification to detect regions of interest and to characterize noise. We use the program SExtractor to pinpoint clusters that contain either many or no object hits. We then show that there are more targets in the clusters with many SExtractor hits than SExtractor finds. We also show that ART clusters together input regions that are dominated by noise that can be used to characterize the noise in an image. The results provided show that unsupervised learning algorithms should not be overlooked for astronomical data analysis.

  5. [Regional laboratory network for surveillance of invasive fungal infections and antifungal susceptibility in Latin America].

    PubMed

    Cuenca-Estrella, Manuel; Rodríguez-Tudela, Juan L; Córdoba, Susana; Melhem, Marcia C; Szeszs, María W; Castañeda, Elizabeth; Martínez, Gerardo; Gabastou, Jean-Marc

    2008-02-01

    This article describes the general objectives of the Regional Laboratory Network for Surveillance of Invasive Fungal Infections and Antifungal Susceptibility in Latin America. Formation of the Network was coordinated by the Essential Medicines, Vaccines, and Health Technologies Unit of the Pan American Health Organization, with the technical and financial support of the National Center for Microbiology of the Carlos III Health Institute (Spain), and the technical support of the Microbiology Department of the Dr. C. Malbrán National Institute on Infectious Diseases (Argentina) and the Microbiology Unit of the Parasitology Service of the Adolfo Lutz Institute (Brazil). The Network's principle objectives are epidemiological surveillance of invasive fungal infections through detection of antifungal resistance and identification of emergent, invasive fungal infections; establishment of norms and common protocols for early diagnosis of mycoses; and strengthening coordination, communications, and transference mechanisms among countries. The Network must be gradually implemented and must include staff training, a systematic process for sharing technology, evaluation of diagnostic techniques, identification of fungal species, and standardized tests for antifungal susceptibility.

  6. Distributive Computer Networking: Making It Work on a Regional Basis: Effective sharing through a network requires new management and resource distribution techniques.

    PubMed

    Cornew, R W; Morse, P M

    1975-08-15

    After 4 years of operation the NERComP network is now a self-supporting success. Some of the reasons for its success are that (i) the network started small and built up utilization; (ii) the members, through monthly trustee meetings, practiced "participatory management" from the outset; (iii) unlike some networks, NERComP appealed to individual academic and research users who were terminal-oriented and who controlled their own budgets; (iv) the compactness of the New England region made it an ideal laboratory for testing networking concepts; and (v) a dedicated staff was willing to work hard in the face of considerable uncertainty. While the major problems were "political, organizational and economic" (1) we have found that they can be solved if the network meets real needs. We have also found that it is difficult to proceed beyond a certain point without investing responsibility and authority in the networking organization. Conversely, there is a need to distribute some responsibilities such as marketing and user services back to the member institutions. By adopting a modest starting point and achieving limited goals the necessary trust and working relationships between institutions can be built. In our case the necessary planning has been facilitated by recognizing three distinct network functions: governance, user services, and technical operations. Separating out the three essential networing tasks and dealing with each individually through advisory committees, each with its own staff coordinator, has overcome a distracting tendency to address all issues at once. It has also provided an element of feedback between the end user and the supplier not usually present in networking activity. The success of NERComP demonstrates that a distributive-type network can work. Our experiences in New England-which, because of its numerous colleges and universities free from domination by any single institution, is a microcosm for academic computing in the United States

  7. Multiple surface wetting events in the greater Meridiani Planum region, Mars: Evidence from valley networks within ancient cratered highlands

    NASA Astrophysics Data System (ADS)

    Williams, R. M. E.; Chuang, F. C.; Berman, D. C.

    2017-02-01

    Morphological characterization of valley networks in three exposures of ancient cratered highlands (Nhc1) in the greater Meridiani Planum region yields insight into the Martian aqueous history. From our mapping, key regional differences are apparent in fine-scale valley network attributes including morphologic type, planimetric form, density, and links to candidate paleolakes. This information, combined with crater retention age (inferred exposure age), provides new details on the relative timing and nature of aqueous processes in the region. Newly identified pitted-type valley networks have morphological similarity to terrestrial pitted landforms in an evaporite setting. We interpret the pitted valley networks to reflect late-stage groundwater processes concentrated along the former fluvial conduits. Evidence from this study indicates that localized reactivation of valley networks occurred during or after exhumation of eastern Nhc1 unit.

  8. The magnetic network location of explosive events observed in the solar transition region

    NASA Technical Reports Server (NTRS)

    Porter, J. G.; Dere, K. P.

    1991-01-01

    Compact short-lived explosive events have been observed in solar transition region lines with the High-Resolution Telescope and Spectrograph (HRTS) flown by the Naval Research Laboratory on a series of rockets and on Spacelab 2. Data from Spacelab 2 are coaligned with a simultaneous magnetogram and near-simultaneous He I 10,380 -A spectroheliogram obtained at the National Solar Observatory at Kitt Peak. The comparison shows that the explosive events occur in the solar magnetic network lanes at the boundaries of supergranular convective cells. However, the events occur away from the larger concentrations of magnetic flux in the network, in contradiction to the observed tendency of the more energetic solar phenomena to be associated with the stronger magnetic fields.

  9. Young People in Changing Societies. Regional Monitoring Report, No. 7. The MONEE Project, CEE/CIS/Baltics.

    ERIC Educational Resources Information Center

    Cantwell, Migel; Fajth, Gaspar; Gantcheva, Roumiana; Kolev, Alexandre; Micklewright, John; Marnie, Sheila; Motivans, Albert

    This report covers countries in transition--the 27 nations of Central and Eastern Europe and the Commonwealth of Independent States--that embarked on market and democratic reforms after the collapse of the Iron Curtain. The theme is a generation in transition--65 million young people aged 15-24. Are these youths better off? Are they healthier or…

  10. Classification of bifurcations regions in IVOCT images using support vector machine and artificial neural network models

    NASA Astrophysics Data System (ADS)

    Porto, C. D. N.; Costa Filho, C. F. F.; Macedo, M. M. G.; Gutierrez, M. A.; Costa, M. G. F.

    2017-03-01

    Studies in intravascular optical coherence tomography (IV-OCT) have demonstrated the importance of coronary bifurcation regions in intravascular medical imaging analysis, as plaques are more likely to accumulate in this region leading to coronary disease. A typical IV-OCT pullback acquires hundreds of frames, thus developing an automated tool to classify the OCT frames as bifurcation or non-bifurcation can be an important step to speed up OCT pullbacks analysis and assist automated methods for atherosclerotic plaque quantification. In this work, we evaluate the performance of two state-of-the-art classifiers, SVM and Neural Networks in the bifurcation classification task. The study included IV-OCT frames from 9 patients. In order to improve classification performance, we trained and tested the SVM with different parameters by means of a grid search and different stop criteria were applied to the Neural Network classifier: mean square error, early stop and regularization. Different sets of features were tested, using feature selection techniques: PCA, LDA and scalar feature selection with correlation. Training and test were performed in sets with a maximum of 1460 OCT frames. We quantified our results in terms of false positive rate, true positive rate, accuracy, specificity, precision, false alarm, f-measure and area under ROC curve. Neural networks obtained the best classification accuracy, 98.83%, overcoming the results found in literature. Our methods appear to offer a robust and reliable automated classification of OCT frames that might assist physicians indicating potential frames to analyze. Methods for improving neural networks generalization have increased the classification performance.

  11. Revealing the cerebral regions and networks mediating vulnerability to depression: oxidative metabolism mapping of rat brain.

    PubMed

    Harro, Jaanus; Kanarik, Margus; Kaart, Tanel; Matrov, Denis; Kõiv, Kadri; Mällo, Tanel; Del Río, Joaquin; Tordera, Rosa M; Ramirez, Maria J

    2014-07-01

    The large variety of available animal models has revealed much on the neurobiology of depression, but each model appears as specific to a significant extent, and distinction between stress response, pathogenesis of depression and underlying vulnerability is difficult to make. Evidence from epidemiological studies suggests that depression occurs in biologically predisposed subjects under impact of adverse life events. We applied the diathesis-stress concept to reveal brain regions and functional networks that mediate vulnerability to depression and response to chronic stress by collapsing data on cerebral long term neuronal activity as measured by cytochrome c oxidase histochemistry in distinct animal models. Rats were rendered vulnerable to depression either by partial serotonergic lesion or by maternal deprivation, or selected for a vulnerable phenotype (low positive affect, low novelty-related activity or high hedonic response). Environmental adversity was brought about by applying chronic variable stress or chronic social defeat. Several brain regions, most significantly median raphe, habenula, retrosplenial cortex and reticular thalamus, were universally implicated in long-term metabolic stress response, vulnerability to depression, or both. Vulnerability was associated with higher oxidative metabolism levels as compared to resilience to chronic stress. Chronic stress, in contrast, had three distinct patterns of effect on oxidative metabolism in vulnerable vs. resilient animals. In general, associations between regional activities in several brain circuits were strongest in vulnerable animals, and chronic stress disrupted this interrelatedness. These findings highlight networks that underlie resilience to stress, and the distinct response to stress that occurs in vulnerable subjects.

  12. Southwest Region Educational Computer Network. Final Report 1969-1972. A Technical Report Submitted to the National Science Foundation.

    ERIC Educational Resources Information Center

    Warlick, Charles H.; And Others

    Described herein are the activities of the Southwest Region Educational Computer Network (SRECN) which was established under funding from the National Science Foundation to provide, via a network, remote computing services to institutions lacking adequate facilities. The report details how SRECN sought to develop the teaching of computer science…

  13. Stress drop of earthquakes from the Multi-Window Spectral Ratio method in a regional network

    NASA Astrophysics Data System (ADS)

    D'Alessio, M. A.; Imanishi, K.; Ellsworth, W. L.

    2006-12-01

    Insight into the mechanics of faulting comes from seismologically determined parameters such as earthquake stress drop. To produce higher precision estimates of stress drop on regional networks like the Parkfield HRSN borehole network, we use the multi-window spectral ratio (MWSR) method to determine the corner frequency and relative moment of earthquake pairs. This method assumes that the frequency distribution of spectral power is the same for direct arrivals and later arriving scattered energy. By taking the power spectra of individual time windows, we collect multiple, quasi-independent estimates of the power spectra for a given earthquake. For pairs of earthquakes located within a few hundred meters of one another, the ratio of their power spectra at a given station provides better estimates of their relative moments and corner frequencies by eliminating some of the path-dependent effects. We calculate the spectral ratio for each time window at each station in a regional borehole network and stack the ratios to cancel out noise and determine a robust estimate of the true power spectral ratio. Systematic differences between the spectral ratio at stations with different azimuths can be interpreted as evidence for directivity in the earthquake pulses or frequency- dependent attenuation along the source-receiver path. Because the method is based on a collection of quasi- independent spectral ratio observations, we can quantify the uncertainty in the estimates of corner frequency and moment for each earthquake pair. We use a bootstrap analysis with noise selected from the distribution of scatter from individual time windows about the mean spectral ratio to quantify the range of moment and corner frequencies that fit each station. By assuming that the earthquakes are simple circular cracks, we convert these parameters into stress drop with estimates of uncertainty. We evaluate the reliability of the technique in a regional network for different earthquake spacings

  14. Extracting Regional Ionospheric TEC Measurements from Dense GPS (GNSS) Networks in Areas of High Seismic Risk

    NASA Astrophysics Data System (ADS)

    Reuveni, Y.; Bock, Y.; Geng, J.; Tong, X.; Moore, A. W.

    2013-12-01

    The ionosphere structure and peak electron density vary strongly with time, geographic location, and certain solar and geomagnetic disturbances, causing it to be dynamically variable, and hence, one of the main sources of GPS errors. Since ionospheric delays are a key limitation to successful GPS integer-cycle phase ambiguity resolution and point positioning accuracy, it is useful to estimate these delays on regional scales when using dense GPS networks. When estimating the Total Electron Content (TEC), one has to take into account the inner delay differences between the two frequencies, which are also known as the Differential Code Biases (DCBs), and can cause errors of several meters if they are ignored. Although DCB estimates for GNSS satellites and IGS ground receivers are provided on a regular basis by the International GNSS Service (IGS) analysis centers (such as CODE, JPL, and ESA), the DCBs for regional and local network receivers are not provided, and some of the IGS ground receiver estimates are not available from all analysis centers. Additionally, the DCB estimates vary between different GNSS satellites and ground receivers, where the majority of the DCBs values are based on the assumption that they are constant over 1 day or 1 month for any given GPS satellite or receiver. However, this assumption is far from being valid, since in fact the DCB values often vary diurnally or semi-diurnally. Developing and implementing regional ionospheric TEC models can be used in real-time to reduce errors in precise point positioning for dense real-time GPS networks. In addition, regional TEC maps extracted from GPS ionospheric path delays can be used, along with tropospheric delays, for mitigating errors in Interferometric Synthetic Aperture Radar (InSAR) images, especially for the L-band signals. The regional ionospheric TEC maps can also be used for the detection and characterization of ionospheric perturbations, which is valuable for both telluric natural hazards

  15. Refined earthquake locations for Oklahoma and Southern Kansas illuminate the regional fault network

    NASA Astrophysics Data System (ADS)

    Schoenball, M.; Skoumal, R.; Shelly, D. R.; Ellsworth, W. L.

    2016-12-01

    The 2016 M5.8 Pawnee earthquake struck along the northeastern margin of the seismically active region of Oklahoma. This follows a pattern of several major earthquake sequences that occurred at the edges of the seismically active region including the M4.9 Milan, Kansas and M5.1 Fairview, Oklahoma earthquake sequences that occurred at the northern and western edges, respectively. For much of Oklahoma, augmentation of the seismic network with new stations in the activated areas has followed rather than preceded the spread of seismicity across the state, and consequently the network geometry is often unfavorable for resolving the underlying fault structures. With this study we augment the existing ANSS catalog with data from two industry operated networks for the period May 2013 to March 2016. These networks include 40 broad band seismic stations and cover seismically active north-central Oklahoma with a station spacing on the order of 25 km. Absolute locations with horizontal errors of about 300 m and relative locations better than 100 m reveal a striking pattern of seismicity illuminating many previously unmapped faults. Depths are usually well constrained to within 1 km. Relocated epicenters tend to cluster in linear trends of less than 1 km to more than 10 km in length. These trends are mostly in agreement with surface wave-derived moment tensors. To quantify our location precision, we obtain a high-resolution data set for the 2014/2015 earthquake sequence near Cushing, Oklahoma. Using cross-correlation and template matching techniques, we extend the regional catalog about 10-fold for the Cushing area and obtain precise relative relocations for about 600 events, complete to about M=1.0. Both data sets - the standard relative relocations and cross-correlation derived relocations - show at least two faults that were reactivated along about 1 km of their length and near their intersection point. Our high resolution data shows that seismicity near Pawnee, Oklahoma

  16. Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding

    PubMed Central

    Johnson, Rie; Zhang, Tong

    2016-01-01

    This paper presents a new semi-supervised framework with convolutional neural networks (CNNs) for text categorization. Unlike the previous approaches that rely on word embeddings, our method learns embeddings of small text regions from unlabeled data for integration into a supervised CNN. The proposed scheme for embedding learning is based on the idea of two-view semi-supervised learning, which is intended to be useful for the task of interest even though the training is done on unlabeled data. Our models achieve better results than previous approaches on sentiment classification and topic classification tasks. PMID:27087766

  17. Dense seismic networks as a tool to characterize active faulting in regions of slow deformation

    NASA Astrophysics Data System (ADS)

    Custódio, Susana; Arroucau, Pierre; Carrilho, Fernando; Cesca, Simone; Dias, Nuno; Matos, Catarina; Vales, Dina

    2016-04-01

    The theory of plate tectonics states that the relative motion between lithospheric plates is accommodated at plate boundaries, where earthquakes occur on long faults. However, earthquakes with a wide range of magnitudes also occur both off plate boundaries, in intra-plate settings, and along discontinuous, diffuse plate boundaries. These settings are characterized by low rates of lithospheric deformation. A fundamental limitation in the study of slowly deforming regions is the lack of high-quality observations. In these regions, earthquake catalogs have traditionally displayed diffuse seismicity patterns. The location, geometry and activity rate of faults - all basic parameters for understanding fault dynamics - are usually poorly known. The dense seismic networks deployed in the last years around the world have opened new windows in observational seismology. Although high-magnitude earthquakes are rare in regions of slow deformation, low-magnitude earthquakes are well observable on the time-scale of these deployments. In this presentation, we will show how data from dense seismic deployments can be used to characterize faulting in regions of slow deformation. In particular, we will present the case study of western Iberia, a region undergoing low-rate deformation and which has generated some of the largest earthquakes in Europe, both intraplate (mainland) and interplate (offshore). The methods that we employ include automated earthquake detection methods to lower the completeness magnitude of catalogs, earthquake relocations, focal mechanisms patterns, waveform similarity and clustering analysis.

  18. Epidemiological networks and drug resistance of HIV type 1 in Krasnoyarsk region, Russia.

    PubMed

    Rumyantseva, Olga A; Olkhovskiy, Igor A; Malysheva, Marina A; Ruzaeva, Ludmila A; Vasiliev, Alexander V; Kazennova, Elena V; Bobkova, Marina R; Lukashov, Vladimir V

    2009-09-01

    To study the molecular epidemiology of HIV-1 in Krasnoyarsk region, Russia, where HIV-1 has spread rapidly since 2000, we obtained pol sequences from individuals living in this region (n = 67) as well as in the geographically closely related Altay region (n = 13). In both regions, subtype A viruses specific for the former Soviet Union (IDU-A strains) were dominant (92.5%). Virus sequences clustered according to the geographic origin of the infected individuals rather than to their risk group, demonstrating the role of geographically defined epidemiological networks in the propagation of the HIV-1 epidemic in the region. Six viruses belonged to subtype B. Three of them were phylogenetically (and therefore epidemiologically) closely related to each other, demonstrating that even though IDU-A viruses dominate the epidemic, the spread of other virus strains does occur. Most viruses (75%) had an A62V mutation in reverse transcriptase, specific for HIV-1 strains in Russia. Remarkably, 26 of 47 (55%) patients under HAART with detectable virus loads did not have any known drug-resistant mutation, indicating the need to increase compliance to therapy.

  19. 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.

  20. Regional and local variations in atmospheric aerosols using ground-based sun photometry during Distributed Regional Aerosol Gridded Observation Networks (DRAGON) in 2012

    NASA Astrophysics Data System (ADS)

    Sano, Itaru; Mukai, Sonoyo; Nakata, Makiko; Holben, Brent N.

    2016-11-01

    Aerosol mass concentrations are affected by local emissions as well as long-range transboundary (LRT) aerosols. This work investigates regional and local variations of aerosols based on Distributed Regional Aerosol Gridded Observation Networks (DRAGON). We constructed DRAGON-Japan and DRAGON-Osaka in spring of 2012. The former network covers almost all of Japan in order to obtain aerosol information in regional scale over Japanese islands. It was determined from the DRAGON-Japan campaign that the values of aerosol optical thickness (AOT) decrease from west to east during an aerosol episode. In fact, the highest AOT was recorded at Fukue Island at the western end of the network, and the value was much higher than that of urban areas. The latter network (DRAGON-Osaka) was set as a dense instrument network in the megalopolis of Osaka, with a population of 12 million, to better understand local aerosol dynamics in urban areas. AOT was further measured with a mobile sun photometer attached to a car. This transect information showed that aerosol concentrations rapidly changed in time and space together when most of the Osaka area was covered with moderate LRT aerosols. The combined use of the dense instrument network (DRAGON-Osaka) and high-frequency measurements provides the motion of aerosol advection, which coincides with the wind vector around the layer between 700 and 850 hPa as provided by the reanalysis data of the National Centers for Environmental Prediction (NCEP).

  1. Regional and Local Variations in Atmospheric Aerosols Using Ground-Based Sun Photometry During Distributed Regional Aerosol Gridded Observation Networks (DRAGON) in 2012

    NASA Technical Reports Server (NTRS)

    Sano, Itaru; Mukai, Sonoyo; Nakata, Makiko; Holben, Brent N.

    2016-01-01

    Aerosol mass concentrations are affected by local emissions as well as long-range transboundary (LRT) aerosols. This work investigates regional and local variations of aerosols based on Distributed Regional Aerosol Gridded Observation Networks (DRAGON).We constructed DRAGON-Japan and DRAGON-Osaka in spring of 2012. The former network covers almost all of Japan in order to obtain aerosol information in regional scale over Japanese islands. It was determined from the DRAGON-Japan campaign that the values of aerosol optical thickness (AOT) decrease from west to east during an aerosol episode. In fact, the highest AOT was recorded at Fukue Island at the western end of the network, and the value was much higher than that of urban areas. The latter network (DRAGON-Osaka) was set as a dense instrument network in the megalopolis of Osaka, with a population of 12 million, to better understand local aerosol dynamics in urban areas. AOT was further measured with a mobile sun photometer attached to a car. This transect information showed that aerosol concentrations rapidly changed in time and space together when most of the Osaka area was covered with moderate LRT aerosols. The combined use of the dense instrument network (DRAGON-Osaka) and high-frequency measurements provides the motion of aerosol advection, which coincides with the wind vector around the layer between 700 and 850 hPa as provided by the reanalysis data of the National Centers for Environmental Prediction (NCEP).

  2. Development of a system for transferring images via a network: supporting a regional liaison.

    PubMed

    Mihara, Naoki; Manabe, Shiro; Takeda, Toshihiro; Shinichirou, Kitamura; Junichi, Murakami; Kouji, Kiso; Matsumura, Yasushi

    2013-01-01

    We developed a system that transfers images via network and started using them in our hospital's PACS (Picture Archiving and Communication Systems) in 2006. We are pleased to report that the system has been re-developed and has been running so that there will be a regional liaison in the future. It has become possible to automatically transfer images simply by selecting the destination hospital that is registered in advance at the relay server. The gateway of this system can send images to a multi-center, relay management server, which receives the images and resends them. This system has the potential to be useful for image exchange, and to serve as a regional medical liaison.

  3. Regional-technical information network system by PC-based communication 'Kougi Net Niigata'

    NASA Astrophysics Data System (ADS)

    Tanaka, Koichi; Kitagawa, Yoichi; Hoshino, Kimiaki

    'Regional-technical information' database was constructed by Industrial research institute of Niigata prefecture. This is available for industries in our prefecture with our PC-based communication network system. And also, it provides communication measures called BBS and electronic mail service with which they can communicate each other. This system is considered to give three effects. First of all, they can get technical information required in regional industries that is not provided by commercial database at their office or factory speedy and correctly. Secondly, they can easily survey technical background of local industries they want to take into partnership in their extension of work. Thirdly, since it provides a place where they can exchange information each other, it promotes their development of new commercial products and partnership.

  4. Architecture of a consent management suite and integration into IHE-based regional health information networks

    PubMed Central

    2011-01-01

    Background The University Hospital Heidelberg is implementing a Regional Health Information Network (RHIN) in the Rhine-Neckar-Region in order to establish a shared-care environment, which is based on established Health IT standards and in particular Integrating the Healthcare Enterprise (IHE). Similar to all other Electronic Health Record (EHR) and Personal Health Record (PHR) approaches the chosen Personal Electronic Health Record (PEHR) architecture relies on the patient's consent in order to share documents and medical data with other care delivery organizations, with the additional requirement that the German legislation explicitly demands a patients' opt-in and does not allow opt-out solutions. This creates two issues: firstly the current IHE consent profile does not address this approach properly and secondly none of the employed intra- and inter-institutional information systems, like almost all systems on the market, offers consent management solutions at all. Hence, the objective of our work is to develop and introduce an extensible architecture for creating, managing and querying patient consents in an IHE-based environment. Methods Based on the features offered by the IHE profile Basic Patient Privacy Consent (BPPC) and literature, the functionalities and components to meet the requirements of a centralized opt-in consent management solution compliant with German legislation have been analyzed. Two services have been developed and integrated into the Heidelberg PEHR. Results The standard-based Consent Management Suite consists of two services. The Consent Management Service is able to receive and store consent documents. It can receive queries concerning a dedicated patient consent, process it and return an answer. It represents a centralized policy enforcement point. The Consent Creator Service allows patients to create their consents electronically. Interfaces to a Master Patient Index (MPI) and a provider index allow to dynamically generate XACML

  5. Architecture of a consent management suite and integration into IHE-based Regional Health Information Networks.

    PubMed

    Heinze, Oliver; Birkle, Markus; Köster, Lennart; Bergh, Björn

    2011-10-04

    The University Hospital Heidelberg is implementing a Regional Health Information Network (RHIN) in the Rhine-Neckar-Region in order to establish a shared-care environment, which is based on established Health IT standards and in particular Integrating the Healthcare Enterprise (IHE). Similar to all other Electronic Health Record (EHR) and Personal Health Record (PHR) approaches the chosen Personal Electronic Health Record (PEHR) architecture relies on the patient's consent in order to share documents and medical data with other care delivery organizations, with the additional requirement that the German legislation explicitly demands a patients' opt-in and does not allow opt-out solutions. This creates two issues: firstly the current IHE consent profile does not address this approach properly and secondly none of the employed intra- and inter-institutional information systems, like almost all systems on the market, offers consent management solutions at all. Hence, the objective of our work is to develop and introduce an extensible architecture for creating, managing and querying patient consents in an IHE-based environment. Based on the features offered by the IHE profile Basic Patient Privacy Consent (BPPC) and literature, the functionalities and components to meet the requirements of a centralized opt-in consent management solution compliant with German legislation have been analyzed. Two services have been developed and integrated into the Heidelberg PEHR. The standard-based Consent Management Suite consists of two services. The Consent Management Service is able to receive and store consent documents. It can receive queries concerning a dedicated patient consent, process it and return an answer. It represents a centralized policy enforcement point. The Consent Creator Service allows patients to create their consents electronically. Interfaces to a Master Patient Index (MPI) and a provider index allow to dynamically generate XACML-based policies which are

  6. Loss of regional accent after damage to the speech production network

    PubMed Central

    Berthier, Marcelo L.; Dávila, Guadalupe; Moreno-Torres, Ignacio; Beltrán-Corbellini, Álvaro; Santana-Moreno, Daniel; Roé-Vellvé, Núria; Thurnhofer-Hemsi, Karl; Torres-Prioris, María José; Massone, María Ignacia; Ruiz-Cruces, Rafael

    2015-01-01

    Lesion-symptom mapping studies reveal that selective damage to one or more components of the speech production network can be associated with foreign accent syndrome, changes in regional accent (e.g., from Parisian accent to Alsatian accent), stronger regional accent, or re-emergence of a previously learned and dormant regional accent. Here, we report loss of regional accent after rapidly regressive Broca’s aphasia in three Argentinean patients who had suffered unilateral or bilateral focal lesions in components of the speech production network. All patients were monolingual speakers with three different native Spanish accents (Cordobés or central, Guaranítico or northeast, and Bonaerense). Samples of speech production from the patient with native Córdoba accent were compared with previous recordings of his voice, whereas data from the patient with native Guaranítico accent were compared with speech samples from one healthy control matched for age, gender, and native accent. Speech samples from the patient with native Buenos Aires’s accent were compared with data obtained from four healthy control subjects with the same accent. Analysis of speech production revealed discrete slowing in speech rate, inappropriate long pauses, and monotonous intonation. Phonemic production remained similar to those of healthy Spanish speakers, but phonetic variants peculiar to each accent (e.g., intervocalic aspiration of /s/ in Córdoba accent) were absent. While basic normal prosodic features of Spanish prosody were preserved, features intrinsic to melody of certain geographical areas (e.g., rising end F0 excursion in declarative sentences intoned with Córdoba accent) were absent. All patients were also unable to produce sentences with different emotional prosody. Brain imaging disclosed focal left hemisphere lesions involving the middle part of the motor cortex, the post-central cortex, the posterior inferior and/or middle frontal cortices, insula, anterior putamen and

  7. Regionalization of land-use impacts on streamflow using a network of paired catchments

    NASA Astrophysics Data System (ADS)

    Ochoa-Tocachi, Boris F.; Buytaert, Wouter; De Bièvre, Bert

    2016-09-01

    Quantifying the impact of land use and cover (LUC) change on catchment hydrological response is essential for land-use planning and management. Yet hydrologists are often not able to present consistent and reliable evidence to support such decision-making. The issue tends to be twofold: a scarcity of relevant observations, and the difficulty of regionalizing any existing observations. This study explores the potential of a paired catchment monitoring network to provide statistically robust, regionalized predictions of LUC change impact in an environment of high hydrological variability. We test the importance of LUC variables to explain hydrological responses and to improve regionalized predictions using 24 catchments distributed along the Tropical Andes. For this, we calculate first 50 physical catchment properties, and then select a subset based on correlation analysis. The reduced set is subsequently used to regionalize a selection of hydrological indices using multiple linear regression. Contrary to earlier studies, we find that incorporating LUC variables in the regional model structures increases significantly regression performance and predictive capacity for 66% of the indices. For the runoff ratio, baseflow index, and slope of the flow duration curve, the mean absolute error reduces by 53% and the variance of the residuals by 79%, on average. We attribute the explanatory capacity of LUC in the regional model to the pairwise monitoring setup, which increases the contrast of the land-use signal in the data set. As such, it may be a useful strategy to optimize data collection to support watershed management practices and improve decision-making in data-scarce regions.

  8. Study of seismicity in the NW Himalaya and adjoining regions using IMS network

    NASA Astrophysics Data System (ADS)

    Ali, Sherif M.; Shanker, D.

    2016-08-01

    The Reviewed Event Bulletin (REB) of the International Data Center (IDC) has been used in order to investigate the seismicity of the Northwest Himalaya and its neighboring region for the time period June 1999 to March 2015 within the geographical coordinates 25-40° N latitude and 65-85° E longitude. We have used a very precisely located earthquake dataset recorded by the International Monitoring System (IMS) Network containing 7,583 events with body wave magnitudes from 2.5 to 6.3. The study area has been subdivided into six regions based on the Flinn-Engdahl (F-E) seismic and geographical regionalization scheme, which was used as the region classifications of the International Data Center catalog. The examined region includes NW India, Pakistan, Nepal, Xizang, Kashmir, and Hindukush. For each region, Magnitudes of completeness (Mc) and Gutenberg-Richter (GR) recurrence parameters (a and b values) have been estimated. The Gutenberg-Richter analysis is preceded by an overview of the seismotectonics of the study area. The obtained Mc values vary from 3.5 to 3.9. The lower value of Mc was found mainly in Xizang region whereas the higher Mc threshold is evident in Pakistan region. However, the b values vary from 1.19 to 1.48. The lowest b value is recorded in Xizang region, which is mostly related to the Main Karakoram Thrust (MKT) fault, whereas the highest b values are recorded in NW India and Kashmir regions, which are mostly related to the Main Frontal Thrust (MFT) fault. The REB for the selected period has been compared to the most renowned bulletin of global seismicity, namely that issued by the National Earthquake Information Center (NEIC) of the United States Geological Survey (USGS). A study of 4,821 events recorded by USGS in the study region indicates that about 36 % of seismic events were missed and the catalog is considered as complete for events with magnitudes ≥4.0. However, both a and b values are obviously higher than those of IMS catalog. The a

  9. Study of seismicity in the NW Himalaya and adjoining regions using IMS network

    NASA Astrophysics Data System (ADS)

    Ali, Sherif M.; Shanker, D.

    2017-03-01

    The Reviewed Event Bulletin (REB) of the International Data Center (IDC) has been used in order to investigate the seismicity of the Northwest Himalaya and its neighboring region for the time period June 1999 to March 2015 within the geographical coordinates 25-40° N latitude and 65-85° E longitude. We have used a very precisely located earthquake dataset recorded by the International Monitoring System (IMS) Network containing 7,583 events with body wave magnitudes from 2.5 to 6.3. The study area has been subdivided into six regions based on the Flinn-Engdahl (F-E) seismic and geographical regionalization scheme, which was used as the region classifications of the International Data Center catalog. The examined region includes NW India, Pakistan, Nepal, Xizang, Kashmir, and Hindukush. For each region, Magnitudes of completeness (Mc) and Gutenberg-Richter (GR) recurrence parameters ( a and b values) have been estimated. The Gutenberg-Richter analysis is preceded by an overview of the seismotectonics of the study area. The obtained Mc values vary from 3.5 to 3.9. The lower value of Mc was found mainly in Xizang region whereas the higher Mc threshold is evident in Pakistan region. However, the b values vary from 1.19 to 1.48. The lowest b value is recorded in Xizang region, which is mostly related to the Main Karakoram Thrust (MKT) fault, whereas the highest b values are recorded in NW India and Kashmir regions, which are mostly related to the Main Frontal Thrust (MFT) fault. The REB for the selected period has been compared to the most renowned bulletin of global seismicity, namely that issued by the National Earthquake Information Center (NEIC) of the United States Geological Survey (USGS). A study of 4,821 events recorded by USGS in the study region indicates that about 36 % of seismic events were missed and the catalog is considered as complete for events with magnitudes ≥4.0. However, both a and b values are obviously higher than those of IMS catalog. The a

  10. Evolution of network functions and service conceptions for a new regional personal computer communication system

    NASA Astrophysics Data System (ADS)

    Tsuchiya, Toshiyuki; Nishio, Gen-ichi; Morisaki, Masato

    1996-12-01

    We have made investigated a new regional Personal-Computer (PC) communication network system for residential users beyond Small Office and Home Office (SOHO)'s users. It provides a cost-effective and user-friendly PC communication environment to community members by supporting connections group communication services with customized audio-visual user-interface and contents, moreover authenticating them on the Media Access Control (MAC) destination address of the PC's. The user-interface is designed to start the PC communication without complex setup procedure. The members can use any protocol, because MAC address authentication is independent of the network layer protocol. This group communication services are offered by distributive bulletin board servers with Common Gateway Interface (CGI) and Hyper TExt Transfer Protocol (HTTP), which are distinguished from the Net News and primary bulletin board for conventional system. This paper discusses, based on a pilot experiment in a small residential area, the network congestion caused by broadcast traffic and address conflict caused by belong to plural groups at the same time and presents a solution. We also discuss the impact of a new bulletin board server derived from traffic data based on our pilot experiment for interaction and audio-visual group communication. The server is operated by specified CGI program on HTTP server and capable to support a interactive communication environment in World Wide Web.

  11. Estimation of regional recharge in the HOBE catchment using data from a distributed soil moisture network

    NASA Astrophysics Data System (ADS)

    Andreasen, M.; Andreasen, L. A.; Bircher, S.; Sonnenborg, T.; Jensen, K. H.

    2012-12-01

    The regional variation of recharge of ground water is dependent on a larger number of variables and conditions and is therefore difficult to quantify. In this study we have estimated regional recharge using data from a distributed network of soil moisture stations within the HOBE catchment. The network has been designed in an arrangement of three clusters along a long-term precipitation gradient and the stations have been distributed according to respective fractions of classes combining the prevailing land use, top- and subsoil conditions. At each of the 30 stations water content has been measured at three depths (0-5cm, 20-25cm and 50-55cm) for the period 2009-2011 at a temporal resolution of 30 minutes. The 1D soil-plant-atmosphere system model DAISY has been applied to each of the field locations to simulate the water balance of the root zone and the associated components of evapotranspiration and recharge. The 30 models have been formulated and parameterized using specific information on local climate, soil texture, land use and management. Each model was calibrated to the measured soil water content from the distributed network using the PEST (Parameter ESTimation) software. The calibrated parameters were saturated hydraulic conductivity Ks and van Genuchten parameter n as they were found most sensitive. The 30 sets of results were averaged to represent the mean conditions of the catchment. An effective parameterization was also determined by calibration against mean soil moisture and compared to the results obtained by using effective parameters using various averaging methods. The regional variation in groundwater recharge, actual evapotranspiration and soil water content in the catchment was dependent on land use. The simulated results showed that the largest recharge was found at the agricultural sites (554 mm/yr) and the lowest at the forested sites (257 mm/yr). Correspondingly, the highest actual evapotranspiration was found at the forested sites (614

  12. Regional shape-based feature space for segmenting biomedical images using neural networks

    NASA Astrophysics Data System (ADS)

    Sundaramoorthy, Gopal; Hoford, John D.; Hoffman, Eric A.

    1993-07-01

    In biomedical images, structure of interest, particularly the soft tissue structures, such as the heart, airways, bronchial and arterial trees often have grey-scale and textural characteristics similar to other structures in the image, making it difficult to segment them using only gray- scale and texture information. However, these objects can be visually recognized by their unique shapes and sizes. In this paper we discuss, what we believe to be, a novel, simple scheme for extracting features based on regional shapes. To test the effectiveness of these features for image segmentation (classification), we use an artificial neural network and a statistical cluster analysis technique. The proposed shape-based feature extraction algorithm computes regional shape vectors (RSVs) for all pixels that meet a certain threshold criteria. The distance from each such pixel to a boundary is computed in 8 directions (or in 26 directions for a 3-D image). Together, these 8 (or 26) values represent the pixel's (or voxel's) RSV. All RSVs from an image are used to train a multi-layered perceptron neural network which uses these features to 'learn' a suitable classification strategy. To clearly distinguish the desired object from other objects within an image, several examples from inside and outside the desired object are used for training. Several examples are presented to illustrate the strengths and weaknesses of our algorithm. Both synthetic and actual biomedical images are considered. Future extensions to this algorithm are also discussed.

  13. Evaluating the intersection of a regional wildlife connectivity network with highways.

    PubMed

    Cushman, Samuel A; Lewis, Jesse S; Landguth, Erin L

    2013-01-01

    Reliable predictions of regional-scale population connectivity are needed to prioritize conservation actions. However, there have been few examples of regional connectivity models that are empirically derived and validated. The central goals of this paper were to (1) evaluate the effectiveness of factorial least cost path corridor mapping on an empirical resistance surface in reflecting the frequency of highway crossings by American black bear, (2) predict the location and predicted intensity of use of movement corridors for American black bear, and (3) identify where these corridors cross major highways and rank the intensity of these crossings. We used factorial least cost path modeling coupled with resistant kernel analysis to predict a network of movement corridors across a 30.2 million hectare analysis area in Montana and Idaho, USA. Factorial least cost path corridor mapping was associated with the locations of actual bear highway crossings. We identified corridor-highway intersections and ranked these based on corridor strength. We found that a major wildlife crossing overpass structure was located close to one of the most intense predicted corridors, and that the vast majority of the predicted corridor network was "protected" under federal management. However, narrow, linear corridors connecting the Greater Yellowstone Ecosystem to the rest of the analysis area had limited protection by federal ownership, making these additionally vulnerable to habitat loss and fragmentation. Factorial least cost path modeling coupled with resistant kernel analysis provides detailed, synoptic information about connectivity across populations that vary in distribution and density in complex landscapes. Specifically, our results could be used to quantify the structure of the connectivity network, identify critical linkage nodes and core areas, map potential barriers and fracture zones, and prioritize locations for mitigation, restoration and conservation actions.

  14. The Earthscope Plate Boundary Observatory Alaska Region an Overview of Network Operation, Maintenance and Improvement

    NASA Astrophysics Data System (ADS)

    Enders, M.; Boyce, E. S.; Bierma, R.; Walker, K.; Feaux, K.

    2011-12-01

    UNAVCO has now completed its third year of operation of the 138 continuous GPS stations, 12 tiltmeters and 31 communications relays that comprise the Alaska Region of the Earthscope Plate Boundary Observatory. Working in Alaska has been challenging due to the extreme environmental conditions encountered and logistics difficulties. Despite these challenges we have been able to complete each summer field season with network operation at 95% or better. Throughout the last three years we have analyzed both our successes and failures to improve the quality of our network and better serve the scientific community. Additionally, we continue to evaluate and deploy new technologies to improve station reliability and add to the data set available from our stations. 2011 was a busy year for the Alaska engineering team and some highlights from last year's maintenance season include the following. This spring we completed testing and deployment of the first Inmarsat BGAN satellite terminal for data telemetry at AC60 Shemya Island. Shemya Island is at the far western end of the Aleutian Islands and is one of the most remote and difficult to access stations in the PBO AK network. Until the installation of the BGAN, this station was offline with no data telemetry for almost one year. Since the installation of the BGAN in early April 2011 dataflow has been uninterrupted. This year we also completed the first deployments of Stardot NetCamSC webcams in the PBO Network. Currently, these are installed and operational at six GPS stations in Alaska, with plans to install several more next season in Alaska. Images from these cameras can be found at the station homepages linked to from the UNAVCO website. In addition to the hard work put in by PBO engineers this year, it is important that we recognize the contributions of our partners. In particular the Alaska Volcano Observatory, the Alaska Earthquake Information Center and others who have provided us with valuable engineering assistance

  15. Neural network approach to reference evapotranspiration modeling from limited climatic data in arid regions.

    PubMed

    Laaboudi, Abdelkader; Mouhouche, Brahim; Draoui, Belkacem

    2012-09-01

    In order to better manage the limited water resources in arid regions, accurate determination of plant water requirements is necessary. For that, the evaluation of reference evapotranspiration (ET0)--a basic component of the hydrological cycle--is essential. In this context, the Penman Monteith equation, known for its accuracy, requires a high number of climatic parameters that are not always fully available from most meteorological stations. Our study examines the effectiveness of the use of artificial neural networks (ANN) for the evaluation of ET0 using incomplete meteorological parameters. These neural networks use daily climatic data (temperature, relative humidity, wind speed and the insolation duration) as inputs, and ET0 values estimated by the Penman-Monteith formula as outputs. The results show that the proper choice of neural network architecture allows not only error minimization but also maximizes the relationship between the dependent variable and the independent variables. In fact, with a network of two hidden layers and eight neurons per layer, we obtained, during the test phase, values of 1, 1 and 0.01 for the determination coefficient, the criterion of Nash and the mean square error, respectively. Comparing results between multiple linear regression and the neural method revealed the good modeling quality and high performance of the latter, due to the possibility of improving performance criteria. In this work, we considered correlations between input variables that improve the accuracy of the model and do not pose problems of multi-collinearity. Furthermore, we succeeded in avoiding overfitting and could generalize the model for other similar areas.

  16. Structure analysis and core community detection of embodied resources networks among regional industries

    NASA Astrophysics Data System (ADS)

    He, Xijun; Dong, Yanbo; Wu, Yuying; Wei, Guodan; Xing, Lizhi; Yan, Jia

    2017-08-01

    To address the double pressure of scarce resources and regional industrial isomorphism, this paper applied the concepts of exergy and embodied resources based on economic input-output (I-O) data. We constructed the embodied resources networks among the regional industries of Beijing-Tianjin-Hebei (also known as Jing-Jin-Ji) in China. We analyzed the rules of embodied resources consumption in the area's industries, identified the core community structures, and studied the characteristics of industrial homogeneity through regional comparisons. The results showed that the dependence on scarce resources of industrial operations in Beijing was less than in Jin-Ji, while the dependence on finance, technology, information, and other service resources in Beijing was higher than in Jin-Ji. The I-O efficiency of embodied resources among industries and the agglomeration of correlation relationships in industries with large embodied resources were higher than in Jin-Ji. The industrial coincidence degree in the ;bridge; industries and in the core community in Jin-Ji was higher than in Jing-Jin and Jing-Ji, which means the industrial homogeneous competition of Jin-Ji was higher, too. This study makes a significant contribution toward promoting the dislocation development of regional industries, accelerating the coordination of resources, and reducing homogeneity competition.

  17. Propagation Loss for Trans-Horizon Interferences in the Regions Surrounding Deep Space Network Complexes

    NASA Astrophysics Data System (ADS)

    Ho, C.; Angkasa, K.; Kinman, P.; Peng, T.

    2005-08-01

    With potential future deployment of high-density terrestrial communication systems in metropolitan areas, it becomes necessary to estimate potential interference received at the Deep Space Network (DSN) Earth station from interfering sources distributed in the region. A fundamental parameter required for any realistic interference analysis is the propagation loss from the transmitter to the receiver, which depends in a statistical way on the atmospheric conditions. This article introduces a method of constructing a map of propagation losses covering almost every possible location in the region, taking the terrain into account. The losses were computed with a high-resolution terrain map of the region as input, together with the heights of the transmitting and receiving antennas. The calculation includes three clear-air propagation mechanisms: diffraction, tropospheric scattering, and atmospheric ducting, in accordance with the algorithms given in the International Telecommunication Union Recommendation ITU-R P.452. The resulting numerical database provides propagation-loss data necessary for interference calculations. To enhance visualization, these propagation-loss data are mapped in color. The color-coded propagation loss map provides a visible overview of the entire region of interest, indicating areas where emissions from the terrestrial sources would be effectively shielded by the terrain from reaching the DSN Earth stations, and where such emissions should be restricted for lack of terrain shielding.

  18. Observations of Global and Regional Ionospheric Irregularities and Scintillation Using GNSS Tracking Networks

    NASA Technical Reports Server (NTRS)

    Pi, Xiaoqing; Mannucci, Anthony J.; Valant-Spaight, Bonnie; Bar-Sever, Yoaz; Romans, Larry J.; Skone, Susan; Sparks, Lawrence; Hall, G. Martin

    2013-01-01

    The rate of TEC index (ROTI) is a measurement that characterizes ionospheric irregularities. It can be obtained from standard GNSS dual-frequency phase data collected using a geodetic type of GNSS receiver. By processing GPS data from ground-based networks of International GNSS Service and Continuously Operating Reference Station (CORS), ROTI maps have been produced to observe global and regional scintillation activities. A major mid-latitude scintillation event in the contiguous United States is reported here that was captured in ROTI maps produced using CORS GPS data collected during a space weather storm. The analyses conducted in this work and previously by another group indicate that ROTI is a good occurrence indicator of both amplitude and phase scintillations of GPS L-band signals, even though the magnitudes of ROTI, S4, and sigma(sub phi) can be different. For example, our analysis indicates that prominent ROTI and the L1 phase scintillation (sigma(sub phi)) are well correlated temporally in the polar region while L1 amplitude scintillation rarely occurs. The differences are partially attributed to physics processes in different latitude regions, such as high-speed plasma convection in the polar region that can suppress the amplitude scintillation. An analysis of the impact of ionospheric scintillation on precise positioning, which requires use of dual-frequency phase data, is also conducted. The results indicate that significant (more than an order of magnitude) positioning errors can occur under phase scintillation conditions.

  19. Identifying streamgage networks for maximizing the effectiveness of regional water balance modeling

    NASA Astrophysics Data System (ADS)

    Fry, L. M.; Hunter, T. S.; Phanikumar, M. S.; Fortin, V.; Gronewold, A. D.

    2013-05-01

    One approach to regional water balance modeling is to constrain rainfall-runoff models with a synthetic regionalized hydrologic response. For example, the Large Basin Runoff Model (LBRM), a cornerstone of hydrologic forecasting in the Laurentian Great Lakes basin, was calibrated to a synthetic discharge record resulting from a drainage area ratio method (ARM) for extrapolating beyond gaged areas. A challenge of such approaches is the declining availability of observations for development of synthetic records. To advance efficient use of the declining gage network in the context of regional water balance modeling, we present results from an assessment of ARM. All possible combinations of "most-downstream" gages were used to simulate runoff at the gaged outlet of Michigan's Clinton River watershed in order to determine the influence of gages' drainage area and other physical characteristics on model skill. For nearly all gage combinations, ARM simulations resulted in good model skill. However, the gages' catchment area relative to that of the outlet's catchment is not an unquestionable predictor of model performance. Results indicate that combinations representing less than 30% of the total catchment area (less than 10% in some cases) can provide very good discharge simulations, but that similarity of the gaged catchments' developed and cultivated area, stream density, and permeability relative to the outlet's catchment is also important for successful simulations. Recognition of thresholds on the relationship between the number of gages and their relative value in simulating flow over large area provides an opportunity for improving historical records for regional hydrologic modeling.

  20. Observations of Global and Regional Ionospheric Irregularities and Scintillation Using GNSS Tracking Networks

    NASA Technical Reports Server (NTRS)

    Pi, Xiaoqing; Mannucci, Anthony J.; Valant-Spaight, Bonnie; Bar-Sever, Yoaz; Romans, Larry J.; Skone, Susan; Sparks, Lawrence; Hall, G. Martin

    2013-01-01

    The rate of TEC index (ROTI) is a measurement that characterizes ionospheric irregularities. It can be obtained from standard GNSS dual-frequency phase data collected using a geodetic type of GNSS receiver. By processing GPS data from ground-based networks of International GNSS Service and Continuously Operating Reference Station (CORS), ROTI maps have been produced to observe global and regional scintillation activities. A major mid-latitude scintillation event in the contiguous United States is reported here that was captured in ROTI maps produced using CORS GPS data collected during a space weather storm. The analyses conducted in this work and previously by another group indicate that ROTI is a good occurrence indicator of both amplitude and phase scintillations of GPS L-band signals, even though the magnitudes of ROTI, S4, and sigma(sub phi) can be different. For example, our analysis indicates that prominent ROTI and the L1 phase scintillation (sigma(sub phi)) are well correlated temporally in the polar region while L1 amplitude scintillation rarely occurs. The differences are partially attributed to physics processes in different latitude regions, such as high-speed plasma convection in the polar region that can suppress the amplitude scintillation. An analysis of the impact of ionospheric scintillation on precise positioning, which requires use of dual-frequency phase data, is also conducted. The results indicate that significant (more than an order of magnitude) positioning errors can occur under phase scintillation conditions.

  1. Neural networks to simulate regional ground water levels affected by human activities.

    PubMed

    Feng, Shaoyuan; Kang, Shaozhong; Huo, Zailin; Chen, Shaojun; Mao, Xiaomin

    2008-01-01

    In arid regions, human activities like agriculture and industry often require large ground water extractions. Under these circumstances, appropriate ground water management policies are essential for preventing aquifer overdraft, and thereby protecting critical ecologic and economic objectives. Identification of such policies requires accurate simulation capability of the ground water system in response to hydrological, meteorological, and human factors. In this research, artificial neural networks (ANNs) were developed and applied to investigate the effects of these factors on ground water levels in the Minqin oasis, located in the lower reach of Shiyang River Basin, in Northwest China. Using data spanning 1980 through 1997, two ANNs were developed to model and simulate dynamic ground water levels for the two subregions of Xinhe and Xiqu. The ANN models achieved high predictive accuracy, validating to 0.37 m or less mean absolute error. Sensitivity analyses were conducted with the models demonstrating that agricultural ground water extraction for irrigation is the predominant factor responsible for declining ground water levels exacerbated by a reduction in regional surface water inflows. ANN simulations indicate that it is necessary to reduce the size of the irrigation area to mitigate ground water level declines in the oasis. Unlike previous research, this study demonstrates that ANN modeling can capture important temporally and spatially distributed human factors like agricultural practices and water extraction patterns on a regional basin (or subbasin) scale, providing both high-accuracy prediction capability and enhanced understanding of the critical factors influencing regional ground water conditions.

  2. Selective dissociation between core and extended regions of the face processing network in congenital prosopagnosia.

    PubMed

    Avidan, Galia; Tanzer, Michal; Hadj-Bouziane, Fadila; Liu, Ning; Ungerleider, Leslie G; Behrmann, Marlene

    2014-06-01

    There is growing consensus that accurate and efficient face recognition is mediated by a neural circuit composed of a posterior "core" and an anterior "extended" set of regions. Here, we characterize the distributed face network in human individuals with congenital prosopagnosia (CP)-a lifelong impairment in face processing-relative to that of matched controls. Using functional magnetic resonance imaging, we first uncover largely normal activation patterns in the posterior core face patches in CP. We also document normal activity of the amygdala (emotion processing) as well as normal or even enhanced functional connectivity between the amygdala and the core regions. Critically, in the same individuals, activation of the anterior temporal cortex (identity processing) is reduced and connectivity between this region and the posterior core regions is disrupted. The dissociation between the neural profiles of the anterior temporal lobe and amygdala was evident both during a task-related face scan and during a resting state scan, in the absence of visual stimulation. Taken together, these findings elucidate selective disruptions in neural circuitry in CP and offer an explanation for the known differential difficulty in identity versus emotional expression recognition in many individuals with CP.

  3. The importance of establishing an international network of tissue banks and regional tissue processing centers.

    PubMed

    Morales Pedraza, Jorge

    2014-03-01

    During the past four decades, many tissue banks have been established across the world with the aim of supplying sterilized tissues for clinical use and research purposes. Between 1972 and 2005, the International Atomic Energy Agency supported the establishment of more than sixty of these tissue banks in Latin America and the Caribbean, Asia and the Pacific, Africa and Eastern Europe; promoted the use of the ionizing radiation technique for the sterilization of the processed tissues; and encouraged cooperation between the established tissue banks during the implementation of its program on radiation and tissue banking at national, regional and international levels. Taking into account that several of the established tissue banks have gained a rich experience in the procurement, processing, sterilization, storage, and medical use of sterilized tissues, it is time now to strengthen further international and regional cooperation among interested tissue banks located in different countries. The purpose of this cooperation is to share the experience gained by these banks in the procurement, processing, sterilization, storage, and used of different types of tissues in certain medical treatments and research activities. This could be done through the establishment of a network of tissue banks and a limited number of regional tissue processing centers in different regions of the world.

  4. Selective Dissociation Between Core and Extended Regions of the Face Processing Network in Congenital Prosopagnosia

    PubMed Central

    Avidan, Galia; Tanzer, Michal; Hadj-Bouziane, Fadila; Liu, Ning; Ungerleider, Leslie G.; Behrmann, Marlene

    2014-01-01

    There is growing consensus that accurate and efficient face recognition is mediated by a neural circuit composed of a posterior “core” and an anterior “extended” set of regions. Here, we characterize the distributed face network in human individuals with congenital prosopagnosia (CP)—a lifelong impairment in face processing—relative to that of matched controls. Using functional magnetic resonance imaging, we first uncover largely normal activation patterns in the posterior core face patches in CP. We also document normal activity of the amygdala (emotion processing) as well as normal or even enhanced functional connectivity between the amygdala and the core regions. Critically, in the same individuals, activation of the anterior temporal cortex (identity processing) is reduced and connectivity between this region and the posterior core regions is disrupted. The dissociation between the neural profiles of the anterior temporal lobe and amygdala was evident both during a task-related face scan and during a resting state scan, in the absence of visual stimulation. Taken together, these findings elucidate selective disruptions in neural circuitry in CP and offer an explanation for the known differential difficulty in identity versus emotional expression recognition in many individuals with CP. PMID:23377287

  5. Core and region-enriched networks of behaviorally regulated genes and the singing genome

    PubMed Central

    Whitney, Osceola; Pfenning, Andreas R.; Howard, Jason T.; Blatti, Charles A; Liu, Fang; Ward, James M.; Wang, Rui; Audet, Jean-Nicolas; Kellis, Manolis; Mukherjee, Sayan; Sinha, Saurabh; Hartemink, Alexander J.; West, Anne E.; Jarvis, Erich D.

    2015-01-01

    Songbirds represent an important model organism for elucidating molecular mechanisms that link genes with complex behaviors, in part because they have discrete vocal learning circuits that have parallels with those that mediate human speech. We found that ~10% of the genes in the avian genome were regulated by singing, and we found a striking regional diversity of both basal and singing-induced programs in the four key song nuclei of the zebra finch, a vocal learning songbird. The region-enriched patterns were a result of distinct combinations of region-enriched transcription factors (TFs), their binding motifs, and presinging acetylation of histone 3 at lysine 27 (H3K27ac) enhancer activity in the regulatory regions of the associated genes. RNA interference manipulations validated the role of the calcium-response transcription factor (CaRF) in regulating genes preferentially expressed in specific song nuclei in response to singing. Thus, differential combinatorial binding of a small group of activity-regulated TFs and predefined epigenetic enhancer activity influences the anatomical diversity of behaviorally regulated gene networks. PMID:25504732

  6. Optimization based on benefit of regional energy suppliers of distributed generation in active distribution network

    NASA Astrophysics Data System (ADS)

    Huo, Xianxu; Li, Guodong; Jiang, Ling; Wang, Xudong

    2017-08-01

    With the development of electricity market, distributed generation (DG) technology and related policies, regional energy suppliers are encouraged to build DG. Under this background, the concept of active distribution network (ADN) is put forward. In this paper, a bi-level model of intermittent DG considering benefit of regional energy suppliers is proposed. The objective of the upper level is the maximization of benefit of regional energy suppliers. On this basis, the lower level is optimized for each scene. The uncertainties of DG output and load of users, as well as four active management measures, which include demand-side management, curtailing the output power of DG, regulating reactive power compensation capacity and regulating the on-load tap changer, are considered. Harmony search algorithm and particle swarm optimization are combined as a hybrid strategy to solve the model. This model and strategy are tested with IEEE-33 node system, and results of case study indicate that the model and strategy successfully increase the capacity of DG and benefit of regional energy suppliers.

  7. Energy efficient data representation and aggregation with event region detection in wireless sensor networks

    NASA Astrophysics Data System (ADS)

    Banerjee, Torsha

    Unlike conventional networks, wireless sensor networks (WSNs) are limited in power, have much smaller memory buffers, and possess relatively slower processing speeds. These characteristics necessitate minimum transfer and storage of information in order to prolong the network lifetime. In this dissertation, we exploit the spatio-temporal nature of sensor data to approximate the current values of the sensors based on readings obtained from neighboring sensors and itself. We propose a Tree based polynomial REGression algorithm, (TREG) that addresses the problem of data compression in wireless sensor networks. Instead of aggregated data, a polynomial function (P) is computed by the regression function, TREG. The coefficients of P are then passed to achieve the following goals: (i) The sink can get attribute values in the regions devoid of sensor nodes, and (ii) Readings over any portion of the region can be obtained at one time by querying the root of the tree. As the size of the data packet from each tree node to its parent remains constant, the proposed scheme scales very well with growing network density or increased coverage area. Since physical attributes exhibit a gradual change over time, we propose an iterative scheme, UPDATE_COEFF, which obviates the need to perform the regression function repeatedly and uses approximations based on previous readings. Extensive simulations are performed on real world data to demonstrate the effectiveness of our proposed aggregation algorithm, TREG. Results reveal that for a network density of 0.0025 nodes/m2, a complete binary tree of depth 4 could provide the absolute error to be less than 6%. A data compression ratio of about 0.02 is achieved using our proposed algorithm, which is almost independent of the tree depth. In addition, our proposed updating scheme makes the aggregation process faster while maintaining the desired error bounds. We also propose a Polynomial-based scheme that addresses the problem of Event Region

  8. Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network.

    PubMed

    Megumi, Fukuda; Yamashita, Ayumu; Kawato, Mitsuo; Imamizu, Hiroshi

    2015-01-01

    Motor or perceptual learning is known to influence functional connectivity between brain regions and induce short-term changes in the intrinsic functional networks revealed as correlations in slow blood-oxygen-level dependent (BOLD) signal fluctuations. However, no cause-and-effect relationship has been elucidated between a specific change in connectivity and a long-term change in global networks. Here, we examine the hypothesis that functional connectivity (i.e., temporal correlation between two regions) is increased and preserved for a long time when two regions are simultaneously activated or deactivated. Using the connectivity-neurofeedback training paradigm, subjects successfully learned to increase the correlation of activity between the lateral parietal and primary motor areas, regions that belong to different intrinsic networks and negatively correlated before training under the resting conditions. Furthermore, whole-brain hypothesis-free analysis as well as functional network analyses demonstrated that the correlation in the resting state between these areas as well as the correlation between the intrinsic networks that include the areas increased for at least 2 months. These findings indicate that the connectivity-neurofeedback training can cause long-term changes in intrinsic connectivity and that intrinsic networks can be shaped by experience-driven modulation of regional correlation.

  9. Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network

    PubMed Central

    Megumi, Fukuda; Yamashita, Ayumu; Kawato, Mitsuo; Imamizu, Hiroshi

    2015-01-01

    Motor or perceptual learning is known to influence functional connectivity between brain regions and induce short-term changes in the intrinsic functional networks revealed as correlations in slow blood-oxygen-level dependent (BOLD) signal fluctuations. However, no cause-and-effect relationship has been elucidated between a specific change in connectivity and a long-term change in global networks. Here, we examine the hypothesis that functional connectivity (i.e., temporal correlation between two regions) is increased and preserved for a long time when two regions are simultaneously activated or deactivated. Using the connectivity-neurofeedback training paradigm, subjects successfully learned to increase the correlation of activity between the lateral parietal and primary motor areas, regions that belong to different intrinsic networks and negatively correlated before training under the resting conditions. Furthermore, whole-brain hypothesis-free analysis as well as functional network analyses demonstrated that the correlation in the resting state between these areas as well as the correlation between the intrinsic networks that include the areas increased for at least 2 months. These findings indicate that the connectivity-neurofeedback training can cause long-term changes in intrinsic connectivity and that intrinsic networks can be shaped by experience-driven modulation of regional correlation. PMID:25870552

  10. NEREUS- Network of European Regions Using Space - an initiative of regions to spread the use and understanding of space technologies across Europe

    NASA Astrophysics Data System (ADS)

    Ayazi, Roya

    2013-04-01

    NEREUS- Network of European Regions Using Space - an initiative of regions to spread the use and understanding of space technologies across Europe (Roya Ayazi, Secretary General NEREUS nereus.bruxelles@euroinbox.com) NEREUS currently unites 25 European regions and 39 Associate Members with the common objective to spread the use and understanding of space technologies across Europe for the benefit of regions and their citizens. As voice of European Regions, NEREUS serves as an advocate for the regions in matters of space uses and also as a direct channel to the regional users of space technologies (such as local authorities, SMEs, universities and research institutes and citizens). EO/GMES, Global Satellite Navigation and Telecommunication are identified by the NEREUS Political Charta as core areas of cooperation. NEREUS holds the view that broad societal awareness and involvement is vital to fully exploit Euope's space systems. Understanding the potentials of Copernicus and EGNOS/Galileo is in the first place an essential step for the development of the downstream sector. Therefore NEREUS makes special efforts to contribute with numerous network activities to communicate and promote the added value of space uses for public policies but also as valuable new business opportunities. In economic terms space uses are suited to stimulate economic growth and innovation dynamics at regional level. The network community produced several illustrative communication tools (publications, video, web-based tools, mobile NEREUS-exhibition) portraying examples how regions already use space systems and the concrete benefits for the citizens. Most of the NEREUS-publications and video are online: www.nereus-regions.eu. Pooling a considerable wealth of capabilities and expertise, the network offers its members a dynamic platform to collaborate and share experiences and knowledge inter regionally. But these tools were not only the outcome of an intensive regional collaboration but

  11. Wildland fire science and management in the U.S.: Spanning the boundaries through the regional knowledge exchange network (Abstract)

    Treesearch

    Susie Kocher; Eric Toman; Sarah Trainor; Vita Wright

    2012-01-01

    In 2009, the federal Joint Fire Science Program (JFSP) initiated a national network of regional fire science consortia to accelerate awareness, understanding and use of wildland fire science. This presentation synthesizes findings from initial needs assessments conducted by consortia in eight regions of the United States. The assessments evaluated how fire science is...

  12. Efficiency of a protected-area network in a Mediterranean region: a multispecies assessment with raptors.

    PubMed

    Abellán, María D; Martínez, José E; Palazón, José A; Esteve, Miguel A; Calvo, José F

    2011-05-01

    Three different systems of designating protected areas in a Mediterranean region in southeastern Spain were studied, referring to their effectiveness and efficiency for protecting both the breeding territories and the suitable habitat of a set of ten raptor species. Taking into consideration the varying degrees of endangerment of these species, a map of multispecies conservation values was also drawn up and superimposed on the three protected-area systems studied. In order to compare the levels of protection afforded by the three systems, we considered two indices that measured their relative effectiveness and efficiency. The effectiveness estimated the proportion of territories or optimal habitat protected by the networks while efficiency implicitly considered the area of each system (percentage of breeding territories or optimal habitat protected per 1% of land protected). Overall, our results showed that the most efficient system was that formed by the set of regional parks and reserves (17 protected breeding territories per 100 km²), although, given its small total area, it was by far the least effective (only protecting the 21% of the breeding territories of all species and 17% of the area of high conservation value). The systems formed by the Special Protection Areas (designated under the EU "Birds Directive") and by the Special Conservation Areas (designated under the EU "Habitats Directive") notably increased the percentages of protected territories of all species (61%) and area of high conservation value (57%), but their efficiency was not as high as expected in most cases. The overall level of protection was high for all species except for the Lesser Kestrel (Falco naumanni), an endangered falcon that inhabits pseudo-steppe and traditional agricultural habitats, which are clearly underrepresented in the protected-area network of the study region.

  13. Memphis Area Regional Seismic Network. Final report, October 1986--September 1992

    SciTech Connect

    Chiu, J.M.; Johnston, A.C.

    1994-03-01

    The Memphis Area Regional Seismic Network (MARSN) has provided important southern coverage of the New Madrid seismic zone (NMSZ). One of the most important contributions of MARSN is to provide essential data for the successful identification of the Crittenden County fault zone which is located to the east and parallel to the south-west segment of the NMSZ. In addition to felt reports and earthquake locations, MARSN data has also been added into database obtained by the PANDA (Portable Array for Numerical Data Acquisition) experiment for a comprehensive seismological study of the NMSZ. Results from the PANDA experiment combined with regional seismic network data clearly demonstrate that the seismogenic zone in the NMSZ is mainly confined within depths ranging from 3 to 15 km. The SW, NW, and NE segments of the NMSZ are characterized by narrow vertical strike-slip faults. The central NMSZ is, however, very complicated. The northcentral NMSZ is characterized by a well-defined planar feature dipping {approximately} 31{degree} SW which shows dominantly normal faulting. The southcentral NMSZ is characterized by a {approximately} 48{degree} SW dipping fault which shows dominantly reverse faulting. Although the east-west compressional regional stress may play an important role in fault movements in the NMSZ, the complication in focal mechanism along each segment may suggest that other factors including postseismic relaxation by one or more of the 1811--1812 earthquakes, or the interactions between adjacent fault segments, or other tectonic features such as the right-lateral strike-slip Crittenden County Fault can not be overlooked in future tectonic studies of the NMSZ.

  14. [Survival and reproduction of Oncomelania hupensis robertsoni in water network regions in Hubei Province, China].

    PubMed

    Huang, Chong-Feng; Zou, Jie-Xin; Li, Shu-Qiang; Zhou, Xian-Min

    2011-04-01

    To understand the possibility of the survival and reproduction of Oncomelania hupensis robertsoni snails in water network regions in Hubei Province, as well as their expected lifespan after leaving the original propagating environment, so as to provide the basic data and precondition for reducing the infection rates of O. h. hupensis in the lake regions. The O. h. robertsoni snails, smooth-shell, were collected from Danling County, Sichuan Province,and raised in the cages in Baimasi Town of Jiangling County, Hubei Province. The survival and reproduction abilities of the snails were observed on regular time. The O. h. hupensis from Jiangling County, Hubei Province was studied as a control group. The expected lifespan of snails was calculated by using the animal life table. After 3-, 6-month, the survival rates of O. h. robertsoni were maintained more than 75% in the homogeneous and mixed living conditions, still above 20% after 9-month. Compared with the control group, there was a statistically significant difference in the 3-month group (Chi2 three months = 38.641, P < 0.05), there was a significant difference between the homogeneous and mixed groups for the female snail survival rates (Chi2af = 13.255, P < 0.05, Chi2cg = 4.882, P < 0.05), but not in the 6-, 9-month groups (Chi2 six months = 3.253, P > 0.05; Chi2 nine months = 5.017, P > 0.05). Filial generation snails were found after nine months in each group. The expected lifespan of 0. h. hupensis was 41.16 d and that of O. h. robertsoni was 35.84 d in the laboratory. The O. h. robertsoni snails from foreign lands can continually survive and reproduce in water network regions in Hubei. O. h. robertsoni snails have enough survival time to passive remote diffusion after leaving the original propagating environments.

  15. Regional neuronal network failure and cognition in late-onset sporadic Alzheimer disease.

    PubMed

    Carter, S F; Embleton, K V; Anton-Rodriguez, J M; Burns, A; Ralph, M A L; Herholz, K

    2014-06-01

    The severe cognitive deficits in Alzheimer disease are associated with structural lesions in gray and white matter in addition to changes in synaptic function. The current investigation studied the breakdown of the structure and function in regional networks involving the Papez circuit and extended neocortical association areas. Cortical volumetric and diffusion tensor imaging (3T MR imaging), positron-emission tomography with (18)F fluorodeoxyglucose on a high-resolution research tomograph, and comprehensive neuropsychological assessments were performed in patients with late-onset sporadic Alzheimer disease, those with mild cognitive impairment, and elderly healthy controls. Atrophy of the medial temporal lobes was the strongest and most consistent abnormality in patients with mild cognitive impairment and Alzheimer disease. Atrophy in the temporal, frontal, and parietal regions was most strongly related to episodic memory deficits, while deficits in semantic cognition were also strongly related to reductions of glucose metabolism in the posterior cingulate cortex and temporoparietal regions. Changes in fractional anisotropy within white matter tracts, particularly in the left cingulum bundle, uncinate fasciculus, superior longitudinal fasciculus, and inferior fronto-occipital fasciculus, were significantly associated with the cognitive deficits in multiple regression analyses. Posterior cingulate and orbitofrontal metabolic deficits appeared to be related to microstructural changes in projecting white matter tracts. Many lesioned network components within the Papez circuit and extended neocortical association areas were significantly associated with cognitive dysfunction in both mild cognitive impairment and late-onset sporadic Alzheimer disease. Hippocampal atrophy was the most prominent lesion, with associated impairment of the uncinate and cingulum white matter microstructures and hippocampal and posterior cingulate metabolic impairment. © 2014 by American

  16. Efficiency of a Protected-Area Network in a Mediterranean Region: A Multispecies Assessment with Raptors

    NASA Astrophysics Data System (ADS)

    Abellán, María D.; Martínez, José E.; Palazón, José A.; Esteve, Miguel Á.; Calvo, José F.

    2011-05-01

    Three different systems of designating protected areas in a Mediterranean region in southeastern Spain were studied, referring to their effectiveness and efficiency for protecting both the breeding territories and the suitable habitat of a set of ten raptor species. Taking into consideration the varying degrees of endangerment of these species, a map of multispecies conservation values was also drawn up and superimposed on the three protected-area systems studied. In order to compare the levels of protection afforded by the three systems, we considered two indices that measured their relative effectiveness and efficiency. The effectiveness estimated the proportion of territories or optimal habitat protected by the networks while efficiency implicitly considered the area of each system (percentage of breeding territories or optimal habitat protected per 1% of land protected). Overall, our results showed that the most efficient system was that formed by the set of regional parks and reserves (17 protected breeding territories per 100 km2), although, given its small total area, it was by far the least effective (only protecting the 21% of the breeding territories of all species and 17% of the area of high conservation value). The systems formed by the Special Protection Areas (designated under the EU "Birds Directive") and by the Special Conservation Areas (designated under the EU "Habitats Directive") notably increased the percentages of protected territories of all species (61%) and area of high conservation value (57%), but their efficiency was not as high as expected in most cases. The overall level of protection was high for all species except for the Lesser Kestrel ( Falco naumanni), an endangered falcon that inhabits pseudo-steppe and traditional agricultural habitats, which are clearly underrepresented in the protected-area network of the study region.

  17. Utah's Regional/Urban ANSS Seismic Network---Strategies and Tools for Quality Performance

    NASA Astrophysics Data System (ADS)

    Burlacu, R.; Arabasz, W. J.; Pankow, K. L.; Pechmann, J. C.; Drobeck, D. L.; Moeinvaziri, A.; Roberson, P. M.; Rusho, J. A.

    2007-05-01

    The University of Utah's regional/urban seismic network (224 stations recorded: 39 broadband, 87 strong-motion, 98 short-period) has become a model for locally implementing the Advanced National Seismic System (ANSS) because of successes in integrating weak- and strong-motion recording and in developing an effective real-time earthquake information system. Early achievements included implementing ShakeMap, ShakeCast, point-to- multipoint digital telemetry, and an Earthworm Oracle database, as well as in-situ calibration of all broadband and strong-motion stations and submission of all data and metadata into the IRIS DMC. Regarding quality performance, our experience as a medium-size regional network affirms the fundamental importance of basics such as the following: for data acquisition, deliberate attention to high-quality field installations, signal quality, and computer operations; for operational efficiency, a consistent focus on professional project management and human resources; and for customer service, healthy partnerships---including constant interactions with emergency managers, engineers, public policy-makers, and other stakeholders as part of an effective state earthquake program. (Operational cost efficiencies almost invariably involve trade-offs between personnel costs and the quality of hardware and software.) Software tools that we currently rely on for quality performance include those developed by UUSS (e.g., SAC and shell scripts for estimating local magnitudes) and software developed by other organizations such as: USGS (Earthworm), University of Washington (interactive analysis software), ISTI (SeisNetWatch), and IRIS (PDCC, BUD tools). Although there are many pieces, there is little integration. One of the main challenges we face is the availability of a complete and coherent set of tools for automatic and post-processing to assist in achieving the goals/requirements set forth by ANSS. Taking our own network---and ANSS---to the next level

  18. Epicenter estimation using erroneous crustal model(s) and skew regional networks

    NASA Astrophysics Data System (ADS)

    Jih, Rong-Song

    1999-06-01

    A simple, hybrid procedure is proposed for seismic location at regional distances when (1) the crustal model is not known, (2) the seismic network is not calibrated, and (3) the azimuthal coverage of recording stations is poor. Among all parameters related to event location, the backazimuth estimated with a skew, large-aperture network appears to be the least sensitive to the model error—under these difficult yet realistic conditions. This observation leads to a hypothesis that epicenters could be better constrained through triangulation using backazimuths derived from two skew, large-aperture subnetworks or arrays. If two subnetworks can be found such that the corresponding backazimuths are sufficiently apart (say, they intersect at an angle of 20° or larger), the resulting absolute mislocation associated with the intersection point is often less than 18 km, which is the permissible location accuracy as quoted in the Comprehensive Nuclear Test Ban Treaty (CTBT). The origin time and source depth can then be obtained from a standard location procedure with the approximate epicenter held fixed. If the network cannot be partitioned to provide two `good' backazimuths, then the conventional location procedure (which feeds on the phase picks altogether) can still be used. The proposed algorithm is tested with three events: (1) U.S. explosion Salmon of Oct. 22, 1964, (2) Kola explosion of Sept. 29, 1996, and (3) Pakistani event of April 28, 1991. The absolute location error associated with this hybrid method is typically comparable to or, in many cases, better than that of the conventional method. Furthermore, this new approach also offers a measurable quantity which positively flags when the location is more likely to be good—even for regions that are not calibrated. These features could have important implications for the CTBT implementation as the proposed algorithm can readily be used in areas previously not well studied as an ad hoc procedure on problem events

  19. Analysis of the streamflow-gaging station network in Ohio for effectiveness in providing regional streamflow information

    USGS Publications Warehouse

    Straub, D.E.

    1998-01-01

    The streamflow-gaging station network in Ohio was evaluated for its effectiveness in providing regional streamflow information. The analysis involved application of the principles of generalized least squares regression between streamflow and climatic and basin characteristics. Regression equations were developed for three flow characteristics: (1) the instantaneous peak flow with a 100-year recurrence interval (P100), (2) the mean annual flow (Qa), and (3) the 7-day, 10-year low flow (7Q10). All active and discontinued gaging stations with 5 or more years of unregulated-streamflow data with respect to each flow characteristic were used to develop the regression equations. The gaging-station network was evaluated for the current (1996) condition of the network and estimated conditions of various network strategies if an additional 5 and 20 years of streamflow data were collected. Any active or discontinued gaging station with (1) less than 5 years of unregulated-streamflow record, (2) previously defined basin and climatic characteristics, and (3) the potential for collection of more unregulated-streamflow record were included in the network strategies involving the additional 5 and 20 years of data. The network analysis involved use of the regression equations, in combination with location, period of record, and cost of operation, to determine the contribution of the data for each gaging station to regional streamflow information. The contribution of each gaging station was based on a cost-weighted reduction of the mean square error (average sampling-error variance) associated with each regional estimating equation. All gaging stations included in the network analysis were then ranked according to their contribution to the regional information for each flow characteristic. The predictive ability of the regression equations developed from the gaging station network could be improved for all three flow characteristics with the collection of additional streamflow data

  20. A Bayesian Belief Network framework to predict SOC stock change: the Veneto region (Italy) case study

    NASA Astrophysics Data System (ADS)

    Dal Ferro, Nicola; Quinn, Claire Helen; Morari, Francesco

    2017-04-01

    A key challenge for soil scientists is predicting agricultural management scenarios that combine crop productions with high standards of environmental quality. In this context, reversing the soil organic carbon (SOC) decline in croplands is required for maintaining soil fertility and contributing to mitigate GHGs emissions. Bayesian belief networks (BBN) are probabilistic models able to accommodate uncertainty and variability in the predictions of the impacts of management and environmental changes. By linking multiple qualitative and quantitative variables in a cause-and-effect relationships, BBNs can be used as a decision support system at different spatial scales to find best management strategies in the agroecosystems. In this work we built a BBN to model SOC dynamics (0-30 cm layer) in the low-lying plain of Veneto region, north-eastern Italy, and define best practices leading to SOC accumulation and GHGs (CO2-equivalent) emissions reduction. Regional pedo-climatic, land use and management information were combined with experimental and modelled data on soil C dynamics as natural and anthropic key drivers affecting SOC stock change. Moreover, utility nodes were introduced to determine optimal decisions for mitigating GHGs emissions from croplands considering also three different IPCC climate scenarios. The network was finally validated with real field data in terms of SOC stock change. Results showed that the BBN was able to model real SOC stock changes, since validation slightly overestimated SOC reduction (+5%) at the expenses of its accumulation. At regional level, probability distributions showed 50% of SOC loss, while only 17% of accumulation. However, the greatest losses (34%) were associated with low reduction rates (100-500 kg C ha-1 y-1), followed by 33% of stabilized conditions (-100 < SOC < 100 kg ha-1 y-1). Land use management (especially tillage operations and soil cover) played a primary role to affect SOC stock change, while climate conditions

  1. Decreased regional activity of default-mode network in unaffected siblings of schizophrenia patients at rest.

    PubMed

    Guo, Wenbin; Su, Qinji; Yao, Dapeng; Jiang, Jiajing; Zhang, Jian; Zhang, Zhikun; Yu, Liuyu; Zhai, Jinguo; Xiao, Changqing

    2014-04-01

    Dysconnectivity hypothesis posits that abnormal resting-state connectivity within the default-mode network (DMN) acts as a key role in schizophrenia. However, little is known about the regional alterations of the DMN in unaffected siblings of schizophrenia patients. Unaffected siblings have a unique advantage in neuroimaging studies independent of clinical and treatment issues that complicate studies on patients themselves. In the present study, we used fractional amplitude of low-frequency fluctuation (fALFF) to investigate regional alterations of the DMN in unaffected siblings of schizophrenia patients at rest. Forty-six unaffected siblings of schizophrenia patients and 50 age-, sex-, and education-matched healthy controls underwent a resting-state functional magnetic resonance imaging (fMRI). The fALFF and independent component analysis (ICA) approaches were used to analyze the data. The unaffected siblings of schizophrenia patients had lower fALFF than the controls in the left inferior temporal gyrus (ITG). No significantly increased fALFF was found in any brain regions in the siblings compared to that in the controls. Further receiver operating characteristic (ROC) curve and support vector machine (SVM) analyses showed that the fALFF values of the left ITG could be utilized to separate the siblings from the controls. Our results first suggest that there is decreased regional activity of the DMN in unaffected siblings of schizophrenia patients, and provide a clue that decreased regional activity of the left ITG could be applied as a candidate biomarker to identify the siblings from the controls. Copyright © 2014 Elsevier B.V. and ECNP. All rights reserved.

  2. Application of machine learning methods to describe the effects of conjugated equine estrogens therapy on region-specific brain volumes.

    PubMed

    Casanova, Ramon; Espeland, Mark A; Goveas, Joseph S; Davatzikos, Christos; Gaussoin, Sarah A; Maldjian, Joseph A; Brunner, Robert L; Kuller, Lewis H; Johnson, Karen C; Mysiw, W Jerry; Wagner, Benjamin; Resnick, Susan M

    2011-05-01

    Use of conjugated equine estrogens (CEE) has been linked to smaller regional brain volumes in women aged ≥65 years; however, it is unknown whether this results in a broad-based characteristic pattern of effects. Structural magnetic resonance imaging was used to assess regional volumes of normal tissue and ischemic lesions among 513 women who had been enrolled in a randomized clinical trial of CEE therapy for an average of 6.6 years, beginning at ages 65-80 years. A multivariate pattern analysis, based on a machine learning technique that combined Random Forest and logistic regression with L(1) penalty, was applied to identify patterns among regional volumes associated with therapy and whether patterns discriminate between treatment groups. The multivariate pattern analysis detected smaller regional volumes of normal tissue within the limbic and temporal lobes among women that had been assigned to CEE therapy. Mean decrements ranged as high as 7% in the left entorhinal cortex and 5% in the left perirhinal cortex, which exceeded the effect sizes reported previously in frontal lobe and hippocampus. Overall accuracy of classification based on these patterns, however, was projected to be only 54.5%. Prescription of CEE therapy for an average of 6.6 years is associated with lower regional brain volumes, but it does not induce a characteristic spatial pattern of changes in brain volumes of sufficient magnitude to discriminate users and nonusers.

  3. Implications of the cattle trade network in Cameroon for regional disease prevention and control.

    PubMed

    Motta, Paolo; Porphyre, Thibaud; Handel, Ian; Hamman, Saidou M; Ngu Ngwa, Victor; Tanya, Vincent; Morgan, Kenton; Christley, Rob; Bronsvoort, Barend M deC

    2017-03-07

    Movement of live animals is a major risk factor for the spread of livestock diseases and zoonotic infections. Understanding contact patterns is key to informing cost-effective surveillance and control strategies. In West and Central Africa some of the most rapid urbanization globally is expected to increase the demand for animal-source foods and the need for safer and more efficient animal production. Livestock trading points represent a strategic contact node in the dissemination of multiple pathogens. From October 2014 to May 2015 official transaction records were collected and a questionnaire-based survey was carried out in cattle markets throughout Western and Central-Northern Cameroon. The data were used to analyse the cattle trade network including a total of 127 livestock markets within Cameroon and five neighboring countries. This study explores for the first time the influence of animal trade on infectious disease spread in the region. The investigations showed that national borders do not present a barrier against pathogen dissemination and that non-neighbouring countries are epidemiologically connected, highlighting the importance of a regional approach to disease surveillance, prevention and control. Furthermore, these findings provide evidence for the benefit of strategic risk-based approaches for disease monitoring, surveillance and control, as well as for communication and training purposes through targeting key regions, highly connected livestock markets and central trading links.

  4. Implications of the cattle trade network in Cameroon for regional disease prevention and control

    PubMed Central

    Motta, Paolo; Porphyre, Thibaud; Handel, Ian; Hamman, Saidou M.; Ngu Ngwa, Victor; Tanya, Vincent; Morgan, Kenton; Christley, Rob; Bronsvoort, Barend M. deC.

    2017-01-01

    Movement of live animals is a major risk factor for the spread of livestock diseases and zoonotic infections. Understanding contact patterns is key to informing cost-effective surveillance and control strategies. In West and Central Africa some of the most rapid urbanization globally is expected to increase the demand for animal-source foods and the need for safer and more efficient animal production. Livestock trading points represent a strategic contact node in the dissemination of multiple pathogens. From October 2014 to May 2015 official transaction records were collected and a questionnaire-based survey was carried out in cattle markets throughout Western and Central-Northern Cameroon. The data were used to analyse the cattle trade network including a total of 127 livestock markets within Cameroon and five neighboring countries. This study explores for the first time the influence of animal trade on infectious disease spread in the region. The investigations showed that national borders do not present a barrier against pathogen dissemination and that non-neighbouring countries are epidemiologically connected, highlighting the importance of a regional approach to disease surveillance, prevention and control. Furthermore, these findings provide evidence for the benefit of strategic risk-based approaches for disease monitoring, surveillance and control, as well as for communication and training purposes through targeting key regions, highly connected livestock markets and central trading links. PMID:28266589

  5. Detection of the Wenchuan aftershock sequence using waveform correlation with a composite regional network

    SciTech Connect

    Slinkard, Megan; Heck, Stephen; Schaff, David; Bonal, Nedra; Daily, David; Young, Christopher; Richards, Paul

    2016-06-28

    Using template waveforms from aftershocks of the Wenchuan earthquake (12 May 2008, Ms 8.0) listed in a global bulletin and continuous data from eight regional stations, we detected more than 6000 additional events in the mainshock source region from 1 May to 12 August 2008. These new detections obey Omori’s law, extend the magnitude of completeness downward by 1.1 magnitude units, and lead to a more than fivefold increase in number of known aftershocks compared with the global bulletins published by the International Data Centre and the Inter national Seismological Centre. Moreover, we detected more M > 2 events than were listed by the Sichuan Seismograph Network. Several clusters of these detections were then relocated using the double-difference method, yielding locations that reduced travel-time residuals by a factor of 32 compared with the initial bulletin locations. Finally, our results suggest that using waveform correlation on a few regional stations can find aftershock events very effectively and locate them with precision.

  6. Detection of the Wenchuan aftershock sequence using waveform correlation with a composite regional network

    DOE PAGES

    Slinkard, Megan; Heck, Stephen; Schaff, David; ...

    2016-06-28

    Using template waveforms from aftershocks of the Wenchuan earthquake (12 May 2008, Ms 8.0) listed in a global bulletin and continuous data from eight regional stations, we detected more than 6000 additional events in the mainshock source region from 1 May to 12 August 2008. These new detections obey Omori’s law, extend the magnitude of completeness downward by 1.1 magnitude units, and lead to a more than fivefold increase in number of known aftershocks compared with the global bulletins published by the International Data Centre and the Inter national Seismological Centre. Moreover, we detected more M > 2 events thanmore » were listed by the Sichuan Seismograph Network. Several clusters of these detections were then relocated using the double-difference method, yielding locations that reduced travel-time residuals by a factor of 32 compared with the initial bulletin locations. Finally, our results suggest that using waveform correlation on a few regional stations can find aftershock events very effectively and locate them with precision.« less

  7. Implications of the cattle trade network in Cameroon for regional disease prevention and control

    NASA Astrophysics Data System (ADS)

    Motta, Paolo; Porphyre, Thibaud; Handel, Ian; Hamman, Saidou M.; Ngu Ngwa, Victor; Tanya, Vincent; Morgan, Kenton; Christley, Rob; Bronsvoort, Barend M. Dec.

    2017-03-01

    Movement of live animals is a major risk factor for the spread of livestock diseases and zoonotic infections. Understanding contact patterns is key to informing cost-effective surveillance and control strategies. In West and Central Africa some of the most rapid urbanization globally is expected to increase the demand for animal-source foods and the need for safer and more efficient animal production. Livestock trading points represent a strategic contact node in the dissemination of multiple pathogens. From October 2014 to May 2015 official transaction records were collected and a questionnaire-based survey was carried out in cattle markets throughout Western and Central-Northern Cameroon. The data were used to analyse the cattle trade network including a total of 127 livestock markets within Cameroon and five neighboring countries. This study explores for the first time the influence of animal trade on infectious disease spread in the region. The investigations showed that national borders do not present a barrier against pathogen dissemination and that non-neighbouring countries are epidemiologically connected, highlighting the importance of a regional approach to disease surveillance, prevention and control. Furthermore, these findings provide evidence for the benefit of strategic risk-based approaches for disease monitoring, surveillance and control, as well as for communication and training purposes through targeting key regions, highly connected livestock markets and central trading links.

  8. Detection of the Wenchuan aftershock sequence using waveform correlation with a composite regional network

    SciTech Connect

    Slinkard, Megan; Heck, Stephen; Schaff, David; Bonal, Nedra; Daily, David; Young, Christopher; Richards, Paul

    2016-06-28

    Using template waveforms from aftershocks of the Wenchuan earthquake (12 May 2008, Ms 8.0) listed in a global bulletin and continuous data from eight regional stations, we detected more than 6000 additional events in the mainshock source region from 1 May to 12 August 2008. These new detections obey Omori’s law, extend the magnitude of completeness downward by 1.1 magnitude units, and lead to a more than fivefold increase in number of known aftershocks compared with the global bulletins published by the International Data Centre and the Inter national Seismological Centre. Moreover, we detected more M > 2 events than were listed by the Sichuan Seismograph Network. Several clusters of these detections were then relocated using the double-difference method, yielding locations that reduced travel-time residuals by a factor of 32 compared with the initial bulletin locations. Finally, our results suggest that using waveform correlation on a few regional stations can find aftershock events very effectively and locate them with precision.

  9. Building Regional Threat-Based Networks for Estuaries in the Western United States

    PubMed Central

    Merrifield, Matthew S.; Hines, Ellen; Liu, Xiaohang; Beck, Michael W.

    2011-01-01

    Estuaries are ecologically and economically valuable and have been highly degraded from both land and sea. Estuarine habitats in the coastal zone are under pressure from a range of human activities. In the United States and elsewhere, very few conservation plans focused on estuaries are regional in scope; fewer still address threats to estuary long term viability.We have compiled basic information about the spatial extent of threats to identify commonalities. To do this we classify estuaries into hierarchical networks that share similar threat characteristics using a spatial database (geodatabase) of threats to estuaries from land and sea in the western U.S.Our results show that very few estuaries in this region (16%) have no or minimal stresses from anthropogenic activity. Additionally, one quarter (25%) of all estuaries in this study have moderate levels of all threats. The small number of un-threatened estuaries is likely not representative of the ecological variability in the region and will require working to abate threats at others. We think the identification of these estuary groups can foster sharing best practices and coordination of conservation activities amongst estuaries in any geography. PMID:21387006

  10. A dense Black Carbon network in the region of Paris, France: Implementation, objectives, and first results

    NASA Astrophysics Data System (ADS)

    Sciare, Jean; Petit, Jean-Eudes; Sarda-Esteve, Roland; Bonnaire, Nicolas; Gros, Valérie; Pernot, Pierre; Ghersi, Véronique; Ampe, Christophe; Songeur, Charlotte; Brugge, Benjamin; Debert, Christophe; Favez, Olivier; Le Priol, Tiphaine; Mocnik, Grisa

    2013-04-01

    Motivations. Road traffic and domestic wood burning emissions are two major contributors of particulate pollution in our cities. These two sources emit ultra-fine, soot containing, particles in the atmosphere, affecting health adversely, increasing morbidity and mortality from cardiovascular and respiratory conditions and casing lung cancer. A better characterization of soot containing aerosol sources in our major cities provides useful information for policy makers for assessment, implementation and monitoring of strategies to tackle air pollution issues affecting human health with additional benefits for climate change. Objectives. This study on local sources of primary Particulate Matter (PM) in the megacity of Paris is a follow-up of several programs (incl. EU-FP7-MEGAPOLI) that have shown that fine PM - in the Paris background atmosphere - is mostly secondary and imported. A network of 14 stations of Black Carbon has been implemented in the larger region of Paris to provide highly spatially resolved long term survey of local combustion aerosols. To our best knowledge, this is the first time that such densely BC network is operating over a large urban area, providing novel information on the spatial/temporal distribution of combustion aerosols within a post-industrialized megacity. Experimental. As part of the PRIMEQUAL "PREQUALIF" project, a dense Black Carbon network (of 14 stations) has been installed over the city of Paris beginning of 2012 in order to produce spatially resolved Equivalent Black Carbon (EBC) concentration maps with high time resolution through modeling and data assimilation. This network is composed of various real-time instruments (Multi-Angle Absorption Photometer, MAAP by THERMO; Multi-wavelength Aethalometers by MAGEE Scientific) implemented in contrasted sites (rural background, urban background, traffic) complementing the regulated measurements (PM, NOx) in the local air quality network AIRPARIF (http

  11. Spatiotemporal filtering for regional GPS network in China using independent component analysis

    NASA Astrophysics Data System (ADS)

    Ming, Feng; Yang, Yuanxi; Zeng, Anmin; Zhao, Bin

    2016-11-01

    Removal of the common mode error (CME) is a routine procedure in postprocessing regional GPS network observations, which is commonly performed using principal component analysis (PCA). PCA decomposes a network time series into a group of modes, where each mode comprises a common temporal function and corresponding spatial response based on second-order statistics (variance and covariance). However, the probability distribution function of a GPS time series is non-Gaussian; therefore, the largest variances do not correspond to the meaningful axes, and the PCA-derived components may not have an obvious physical meaning. In this study, the CME was assumed statistically independent of other errors, and it was extracted using independent component analysis (ICA), which involves higher-order statistics. First, the ICA performance was tested using a simulated example and compared with PCA and stacking methods. The existence of strong local effects on some stations causes significant large spatial responses and, therefore, a strategy based on median and interquartile range statistics was proposed to identify abnormal sites. After discarding abnormal sites, two indices based on the analysis of the spatial responses of all sites in each independent component (east, north, and vertical) were used to define the CME quantitatively. Continuous GPS coordinate time series spanning ˜ 4.5 years obtained from 259 stations of the Tectonic and Environmental Observation Network of Mainland China (CMONOC II) were analyzed using both PCA and ICA methods and their results compared. The results suggest that PCA is susceptible to deriving an artificial spatial structure, whereas ICA separates the CME from other errors reliably. Our results demonstrate that the spatial characteristics of the CME for CMONOC II are not uniform for the east, north, and vertical components, but have an obvious north-south or east-west distribution. After discarding 84 abnormal sites and performing spatiotemporal

  12. Spatiotemporal filtering for regional GPS network in China using independent component analysis

    NASA Astrophysics Data System (ADS)

    Ming, Feng; Yang, Yuanxi; Zeng, Anmin; Zhao, Bin

    2017-04-01

    Removal of the common mode error (CME) is a routine procedure in postprocessing regional GPS network observations, which is commonly performed using principal component analysis (PCA). PCA decomposes a network time series into a group of modes, where each mode comprises a common temporal function and corresponding spatial response based on second-order statistics (variance and covariance). However, the probability distribution function of a GPS time series is non-Gaussian; therefore, the largest variances do not correspond to the meaningful axes, and the PCA-derived components may not have an obvious physical meaning. In this study, the CME was assumed statistically independent of other errors, and it was extracted using independent component analysis (ICA), which involves higher-order statistics. First, the ICA performance was tested using a simulated example and compared with PCA and stacking methods. The existence of strong local effects on some stations causes significant large spatial responses and, therefore, a strategy based on median and interquartile range statistics was proposed to identify abnormal sites. After discarding abnormal sites, two indices based on the analysis of the spatial responses of all sites in each independent component (east, north, and vertical) were used to define the CME quantitatively. Continuous GPS coordinate time series spanning ˜ 4.5 years obtained from 259 stations of the Tectonic and Environmental Observation Network of Mainland China (CMONOC II) were analyzed using both PCA and ICA methods and their results compared. The results suggest that PCA is susceptible to deriving an artificial spatial structure, whereas ICA separates the CME from other errors reliably. Our results demonstrate that the spatial characteristics of the CME for CMONOC II are not uniform for the east, north, and vertical components, but have an obvious north-south or east-west distribution. After discarding 84 abnormal sites and performing spatiotemporal

  13. Assessment of protocols for surgical-site preparation in a regional network of hospitals.

    PubMed

    Peñalver-Mompeán, Maria Dolores; Saturno-Hernández, Pedro Jesus; Fonseca-Miranda, Yadira; Gama, Zenewton André da Silva

    2012-01-01

    Surgical-site infection is a preventable adverse event. Implementation of good practices for correct surgical-site preparation can contribute to lessen this safety problem. The objective of this study was to describe the presence and quality of protocols on surgical-site preparation in the Murcia (Spain) regional network of public hospitals. The indicator "existence of protocol for surgical-site preparation" was assessed, as well as the formal quality (expected attributes) and contents (compared to current evidence-based recommendations) of existing documents. Seven of the nine hospitals have a protocol for surgical-site preparation. Opportunities to improve have been identified in relation to the protocols' formal quality and contents. Recommendations related to skin asepsis are incomplete and those related to hair removal contradict existing evidence. Most hospitals have protocols for surgical-site preparation; however, there is great room for improvement, in relation to their expected attributes and to the inclusion of evidence-based recommendations.

  14. Real-time detection, location, and characterization of rockslides using broadband regional seismic networks

    NASA Astrophysics Data System (ADS)

    Manconi, Andrea; Picozzi, Matteo; Coviello, Velio; De Santis, Francesca; Elia, Luca

    2016-07-01

    We propose a new real-time approach to detect, locate, and estimate the volume of rockslides by analyzing waveforms acquired from broadband regional seismic networks. The identification of signals generated by rockslides from other sources, such as natural and/or induced earthquakes, is accomplished by exploiting the ratio between local magnitudes (ML) and duration magnitudes (MD). We found that signals associated with rockslides have ML/MD < 0.8, while for earthquakes ML/MD ≅ 1. In addition, we derived an empirical relationship between MD and rockslide volumes, obtaining a preliminary characterization of rockslide volume within seconds after their occurrence. The key points of this study are presented by testing the hypothesis on a recent rockslide event that occurred in northern Italy. We discuss also the potential evolution of the methodology for early warning and/or rapid response purposes.

  15. Genetic dissection of a regionally differentiated network for exploratory behavior in Drosophila larvae.

    PubMed

    Berni, Jimena

    2015-05-18

    An efficient strategy to explore the environment for available resources involves the execution of random walks where straight line locomotion alternates with changes of direction. This strategy is highly conserved in the animal kingdom, from zooplankton to human hunter-gatherers. Drosophila larvae execute a routine of this kind, performing straight line crawling interrupted at intervals by pause turns that halt crawling and redirect the trajectory of movement. The execution of this routine depends solely on the activity of networks located in the thoracic and abdominal segments of the nervous system, while descending input from the brain serves to modify it in a context-dependent fashion. I used a genetic method to investigate the location and function of the circuitry required for the different elements of exploratory crawling. By using the Slit-Robo axon guidance pathway to target neuronal midline crossing defects selectively to particular regions of the thoracic and abdominal networks, it has been possible to define at least three functions required for the performance of the exploratory routine: (1) symmetrical outputs in thoracic and abdominal segments that generate the crawls; (2) asymmetrical output that is uniquely initiated in the thoracic segments and generates the turns; and (3) an intermittent interruption to crawling that determines the time-dependent transition between crawls and turns.

  16. Genetic Dissection of a Regionally Differentiated Network for Exploratory Behavior in Drosophila Larvae

    PubMed Central

    Berni, Jimena

    2015-01-01

    Summary An efficient strategy to explore the environment for available resources involves the execution of random walks where straight line locomotion alternates with changes of direction. This strategy is highly conserved in the animal kingdom, from zooplankton to human hunter-gatherers [1–8]. Drosophila larvae execute a routine of this kind, performing straight line crawling interrupted at intervals by pause turns that halt crawling and redirect the trajectory of movement [9–11]. The execution of this routine depends solely on the activity of networks located in the thoracic and abdominal segments of the nervous system, while descending input from the brain serves to modify it in a context-dependent fashion [9]. I used a genetic method to investigate the location and function of the circuitry required for the different elements of exploratory crawling. By using the Slit-Robo axon guidance pathway to target neuronal midline crossing defects selectively to particular regions of the thoracic and abdominal networks, it has been possible to define at least three functions required for the performance of the exploratory routine: (1) symmetrical outputs in thoracic and abdominal segments that generate the crawls; (2) asymmetrical output that is uniquely initiated in the thoracic segments and generates the turns; and (3) an intermittent interruption to crawling that determines the time-dependent transition between crawls and turns. PMID:25959962

  17. The enerMENA meteorological network - Solar radiation measurements in the MENA region

    NASA Astrophysics Data System (ADS)

    Schüler, D.; Wilbert, S.; Geuder, N.; Affolter, R.; Wolfertstetter, F.; Prahl, C.; Röger, M.; Schroedter-Homscheidt, M.; Abdellatif, G.; Guizani, A. Allah; Balghouthi, M.; Khalil, A.; Mezrhab, A.; Al-Salaymeh, A.; Yassaa, N.; Chellali, F.; Draou, D.; Blanc, P.; Dubranna, J.; Sabry, O. M. K.

    2016-05-01

    For solar resource assessment of solar power plants and adjustment of satellite data, high accuracy measurement data of irradiance and ancillary meteorological data is needed. For the MENA region (Middle East and Northern Africa), which is of high importance for concentrating solar power applications, so far merely 2 publicly available ground measurement stations existed (BSRN network). This gap has been filled by ten stations in Morocco, Algeria, Tunisia, Egypt and Jordan. In this publication the data quality is analyzed by evaluating data completeness and the cleanliness of irradiance sensors in comparison for all of the stations. The pyrheliometers have an average cleanliness of 99.2 % for week-daily cleaning. This is a 5 times higher effort than for Rotating Shadowband Irradiometer (RSI) stations which even have a slightly higher average cleanliness of 99.3 % for weekly cleaning. Furthermore, RSI stations show a data completeness of 99.4 % compared to 93.6 % at the stations equipped with thermal sensors. The results of this analysis are used to derive conclusions concerning instrument choice and are hence also applicable to other solar radiation measurements outside the enerMENA network. It turns out that RSIs are the more reliable and robust choice in cases of high soiling, rare station visits for cleaning and maintenance, as usual in desert sites. Furthermore, annual direct normal and global horizontal irradiation as well as average meteorological parameters are calculated for all of the stations.

  18. A Secure Region-Based Geographic Routing Protocol (SRBGR) for Wireless Sensor Networks.

    PubMed

    Adnan, Ali Idarous; Hanapi, Zurina Mohd; Othman, Mohamed; Zukarnain, Zuriati Ahmad

    2017-01-01

    Due to the lack of dependency for routing initiation and an inadequate allocated sextant on responding messages, the secure geographic routing protocols for Wireless Sensor Networks (WSNs) have attracted considerable attention. However, the existing protocols are more likely to drop packets when legitimate nodes fail to respond to the routing initiation messages while attackers in the allocated sextant manage to respond. Furthermore, these protocols are designed with inefficient collection window and inadequate verification criteria which may lead to a high number of attacker selections. To prevent the failure to find an appropriate relay node and undesirable packet retransmission, this paper presents Secure Region-Based Geographic Routing Protocol (SRBGR) to increase the probability of selecting the appropriate relay node. By extending the allocated sextant and applying different message contention priorities more legitimate nodes can be admitted in the routing process. Moreover, the paper also proposed the bound collection window for a sufficient collection time and verification cost for both attacker identification and isolation. Extensive simulation experiments have been performed to evaluate the performance of the proposed protocol in comparison with other existing protocols. The results demonstrate that SRBGR increases network performance in terms of the packet delivery ratio and isolates attacks such as Sybil and Black hole.

  19. Face processing in autism spectrum disorders: from brain regions to brain networks

    PubMed Central

    Nomi, Jason S.; Uddin, Lucina Q.

    2015-01-01

    Autism spectrum disorder (ASD) is characterized by reduced attention to social stimuli including the human face. This hypo-responsiveness to stimuli that are engaging to typically developing individuals may result from dysfunctioning motivation, reward, and attention systems in the brain. Here we review an emerging neuroimaging literature that emphasizes a shift from focusing on hypo-activation of isolated brain regions such as the fusiform gyrus, amygdala, and superior temporal sulcus in ASD to a more holistic approach to understanding face perception as a process supported by distributed cortical and subcortical brain networks. We summarize evidence for atypical activation patterns within brain networks that may contribute to social deficits characteristic of the disorder. We conclude by pointing to gaps in the literature and future directions that will continue to shed light on aspects of face processing in autism that are still under-examined. In particular, we highlight the need for more developmental studies and studies examining ecologically valid and naturalistic social stimuli. PMID:25829246

  20. A Secure Region-Based Geographic Routing Protocol (SRBGR) for Wireless Sensor Networks

    PubMed Central

    Adnan, Ali Idarous; Hanapi, Zurina Mohd; Othman, Mohamed; Zukarnain, Zuriati Ahmad

    2017-01-01

    Due to the lack of dependency for routing initiation and an inadequate allocated sextant on responding messages, the secure geographic routing protocols for Wireless Sensor Networks (WSNs) have attracted considerable attention. However, the existing protocols are more likely to drop packets when legitimate nodes fail to respond to the routing initiation messages while attackers in the allocated sextant manage to respond. Furthermore, these protocols are designed with inefficient collection window and inadequate verification criteria which may lead to a high number of attacker selections. To prevent the failure to find an appropriate relay node and undesirable packet retransmission, this paper presents Secure Region-Based Geographic Routing Protocol (SRBGR) to increase the probability of selecting the appropriate relay node. By extending the allocated sextant and applying different message contention priorities more legitimate nodes can be admitted in the routing process. Moreover, the paper also proposed the bound collection window for a sufficient collection time and verification cost for both attacker identification and isolation. Extensive simulation experiments have been performed to evaluate the performance of the proposed protocol in comparison with other existing protocols. The results demonstrate that SRBGR increases network performance in terms of the packet delivery ratio and isolates attacks such as Sybil and Black hole. PMID:28121992

  1. Genomic and Network Patterns of Schizophrenia Genetic Variation in Human Evolutionary Accelerated Regions

    PubMed Central

    Xu, Ke; Schadt, Eric E.; Pollard, Katherine S.; Roussos, Panos; Dudley, Joel T.

    2015-01-01

    The population persistence of schizophrenia despite associated reductions in fitness and fecundity suggests that the genetic basis of schizophrenia has a complex evolutionary history. A recent meta-analysis of schizophrenia genome-wide association studies offers novel opportunities for assessment of the evolutionary trajectories of schizophrenia-associated loci. In this study, we hypothesize that components of the genetic architecture of schizophrenia are attributable to human lineage-specific evolution. Our results suggest that schizophrenia-associated loci enrich in genes near previously identified human accelerated regions (HARs). Specifically, we find that genes near HARs conserved in nonhuman primates (pHARs) are enriched for schizophrenia-associated loci, and that pHAR-associated schizophrenia genes are under stronger selective pressure than other schizophrenia genes and other pHAR-associated genes. We further evaluate pHAR-associated schizophrenia genes in regulatory network contexts to investigate associated molecular functions and mechanisms. We find that pHAR-associated schizophrenia genes significantly enrich in a GABA-related coexpression module that was previously found to be differentially regulated in schizophrenia affected individuals versus healthy controls. In another two independent networks constructed from gene expression profiles from prefrontal cortex samples, we find that pHAR-associated schizophrenia genes are located in more central positions and their average path lengths to the other nodes are significantly shorter than those of other schizophrenia genes. Together, our results suggest that HARs are associated with potentially important functional roles in the genetic architecture of schizophrenia. PMID:25681384

  2. Monitoring of the North Korea's 3rd Nuclear Test using Regional Seismic Network

    NASA Astrophysics Data System (ADS)

    Chi, H.; Kim, G.; Shin, J.; Kim, T.; Che, I.

    2013-12-01

    Through seismic data exchange with China, Russia and Japan, KIGAM could precisely monitor for the more recent North Korea nuclear test with full azimuthal coverage from the test site. The high coherence of collocated stations' seismograms to the previous two events allowed us to infer the tiny difference in the source locations. By estimating relative location to the 3 event s with minimizing 1st P wave arrival time differences, the 3rd test's location was determined to be at the latitude of 41.275N, longitude of 129.064E which is 400 meter south from the 2009 test. A network averaged body wave magnitude, mb(Pn) was evaluated as 4.9, which varies with directional location of stations widely from 4.2 to 5.5. A network averaged surface wave magnitude was estimated to be 3.9. Moment tensor inversion with data from the regional stations gives us source analysis results with high fidelity. The result shows the 3rd test had a very large isotropic component, indicative of an explosion source, similar inversion results were also obtained from previous 2 tests KIGAM evaluated the yield of the test to be 6~7kTon(×3 kTon) by combining Magnitude-Yield Relationships.

  3. Memory impairment in aged primates is associated with region-specific network dysfunction

    PubMed Central

    Thomé, Alexander; Gray, Daniel T.; Erickson, Cynthia A.; Lipa, Peter; Barnes, Carol A.

    2015-01-01

    Age-related deficits in episodic memory result, in part, from declines in the integrity of medial temporal lobe structures, such as the hippocampus, but are not thought to be due to widespread loss of principal neurons. Studies in rodents suggest, however, that inhibitory interneurons may be particularly vulnerable in advanced age. Optimal encoding and retrieval of information depend on a balance of excitatory and inhibitory transmission. It is not known whether a disruption of this balance is observed in aging nonhuman primates, and whether such changes affect network function and behavior. To examine this question we combine large scale electrophysiological recordings with cell type-specific imaging in the medial temporal lobe of cognitively-assessed, aged rhesus macaques. We found that neuron excitability in hippocampal region CA3 is negatively correlated with the density of the somatostatin-expressing inhibitory interneurons in the vicinity of the recording electrodes in stratum oriens. By contrast, no hyperexcitability or interneuron loss was observed in the perirhinal cortex of these aged, memory-impaired monkeys. These data provide a link, for the first time, between selective increases in principal cell excitability and declines in a molecularly-defined population of interneurons that regulate network inhibition. PMID:26503764

  4. Genomic and network patterns of schizophrenia genetic variation in human evolutionary accelerated regions.

    PubMed

    Xu, Ke; Schadt, Eric E; Pollard, Katherine S; Roussos, Panos; Dudley, Joel T

    2015-05-01

    The population persistence of schizophrenia despite associated reductions in fitness and fecundity suggests that the genetic basis of schizophrenia has a complex evolutionary history. A recent meta-analysis of schizophrenia genome-wide association studies offers novel opportunities for assessment of the evolutionary trajectories of schizophrenia-associated loci. In this study, we hypothesize that components of the genetic architecture of schizophrenia are attributable to human lineage-specific evolution. Our results suggest that schizophrenia-associated loci enrich in genes near previously identified human accelerated regions (HARs). Specifically, we find that genes near HARs conserved in nonhuman primates (pHARs) are enriched for schizophrenia-associated loci, and that pHAR-associated schizophrenia genes are under stronger selective pressure than other schizophrenia genes and other pHAR-associated genes. We further evaluate pHAR-associated schizophrenia genes in regulatory network contexts to investigate associated molecular functions and mechanisms. We find that pHAR-associated schizophrenia genes significantly enrich in a GABA-related coexpression module that was previously found to be differentially regulated in schizophrenia affected individuals versus healthy controls. In another two independent networks constructed from gene expression profiles from prefrontal cortex samples, we find that pHAR-associated schizophrenia genes are located in more central positions and their average path lengths to the other nodes are significantly shorter than those of other schizophrenia genes. Together, our results suggest that HARs are associated with potentially important functional roles in the genetic architecture of schizophrenia.

  5. Frequency, causes and avoidability of outborn births in a French regional perinatal network.

    PubMed

    Lecoeur, Christelle; Thibon, Pascal; Prime, Ludovic; Mercier, Pierre-Yves; Balouet, Pierre; Durin, Luc; Deon, Grégory; Lefevre, Paul; Le Coutour, Xavier; Guillois, Bernard; Dreyfus, Michel

    2014-08-01

    To evaluate the rate and circumstances of outborn deliveries within a French perinatal network, and to determine their avoidability. Cohort study including preterm infants <33 weeks gestation and/or weighing <1500g born outside a level III maternity unit in Lower Normandy region, France, in 2008-2010. In 2008 and 2009, only neonates transferred to the Caen University Teaching Hospital (CHU) were included. In 2010, all outborn neonates in the region were included by means of a medical information system program. A panel of 7 experts was set up to determine the avoidability of each outborn case using a two-stage modified Delphi procedure. Inter-expert agreement was evaluated using the kappa index. Sixty-four cases (71 neonates) were included. The outborn rate in 2010 was 16.1% (40/248, 95% CI (116-207%)). The most common reason for delivery was spontaneous onset of labour (57.8%). In 12 cases, the place of birth (level 2b maternity unit) was considered to be appropriate by the experts (term ≥32WG), but 8 cases involved infants of low birth weight (<1500g). For the 52 cases born in inappropriate sites, 9.6% were considered to be avoidable (kappa index=0.42 (p<10-3)). Our outborn rate meets regionalisation targets. Our method of expert evaluation identified a small percentage of avoidable births in inappropriate sites. Regular reassessment of obstetric practices and good coordination between network actors are crucial to improve the management of pregnancies at risk of outborn delivery. Copyright © 2014. Published by Elsevier Ireland Ltd.

  6. Application of Bayesian Decision Networks for sustainable groundwater resources management in semi-arid regions

    NASA Astrophysics Data System (ADS)

    Mohajerani, Hadis; Casper, Markus; Kholghi, Majid; Mosaedi, Abolfazl; Farmani, Raziyeh; Saadoddin, Amir; Meftah Halaghi, Mehdi

    2017-04-01

    This paper presents management of groundwater resource using a Bayesian Decision Network (BDN). The Kordkooy region in North East of Iran has been selected as study area. The region has been divided to three parts based on Transmissivity (T) and Electrical Conductivity (EC) values. The BDN parameters (prior probabilities and Conditional Probability Tables (CPTs) have been identified for each of the three zones. Three groups of management scenarios have been developed based on the two decision variables including "Crop pattern" and "Domestic water demand" across the three zones of the study area: 1) status quo management for all three zones representing current conditions. 2) the effect of change in cropping pattern on management endpoints and 3) the effect of increasing domestic water demand on management endpoints in the future. The outcomes arising from implementing each scenario have been predicted using the BDN for each of the zones. Results reveal that probability of drawdown in groundwater levels of southern areas is relatively high compared with other zones. Groundwater withdrawal from northern and northwestern areas of the study area should be limited due to the groundwater quality problems associated with shallow groundwater of these two zones. The ability of the Bayesian Decision Network to take into account key uncertainties in natural resources and performing a meaningful analysis in cases where there is not vast amount of information and observed data available -even based partly on expert opinion- emphasizes the advantage of this approach in groundwater resources management process, as limited data availability was a serious problem faced by groundwater resources of the study area.

  7. Designing Groundwater Monitoring Networks for Regional-Scale Water Quality Assessment: A Bayesian Approach

    NASA Astrophysics Data System (ADS)

    Pinto, M. J.; Wagner, B. J.

    2002-12-01

    The design of groundwater monitoring networks is an important concern of regional-scale water-quality assessment programs because of the high cost of data collection. The work presented here addresses regional-scale design issues using ground-water simulation and optimization set within a Bayesian framework. The regional-scale design approach focuses on reducing the uncertainty associated with a fundamental quantity: the proportion of a subsurface water resource which exceeds a specified threshold concentration, such as a mandated maximum contaminant level. This proportion is hereafter referred to as the threshold proportion. The goal is to identify optimal or near-optimal sampling designs that reduce the threshold proportion uncertainty to an acceptable level. In the Bayesian approach, there is a probability density function (pdf) associated with the unknown threshold proportion before sampling. This function is known as the prior pdf. The form of the prior pdf, which is dependent on the information available regarding the distribution of water quality within the aquifer system, controls the amount of sampling needed. In the absence of information, the form of the prior pdf is uniform; however, if a ground-water flow and transport model is available, a Monte Carlo analysis of ground-water flow and transport simulations can be used to generate a prior pdf which is non-uniform and which contains the information available regarding solute sources, pathways and transport. After sampling, the prior pdf is conditioned on the sampling data. The conditional distribution is known as the posterior pdf. In most cases there is a reduction in uncertainty associated with conditioning. The reduction in uncertainty achieved after collecting samples can be explored for different combinations of prior pdf distribution and sampling method. Three scenarios are considered: (i) uniform prior pdf with random sampling; (ii) non-uniform prior pdf with random sampling; and (iii) non

  8. Performance of Network Based EEW Systems in Marmara Region; VS, ElarmS-2 and PRESTo

    NASA Astrophysics Data System (ADS)

    Kuyuk, H. S.; Pinar, A.; Comoglu, M.; Erdik, M. O.

    2015-12-01

    Several earthquake early warning algorithms are in operation in various countries. Kandilli Observatory and Earthquake Engineering Institute (KOERI) implemented and recently running three different EEWS within KOERI network in Marmara Region. Due to high probability of an earthquake with Mw > 7 in the next 30 years in the Marmara Sea, there is an urgent need to evaluate existing EEWS performance and to find out how reliable an EEW is in terms of calculating time, location, magnitude of an earthquake in the region. Here we assessed performance of Virtual Seismologist (VS), Earthquake Alarm System-2 (ElarmS-2) and PRobabilistic and Evolutionary early warning SysTem (PRESTo) which are developed at Caltech, UC Berkeley and University of Naples respectively and are being monitored for over six months. We choose four representative earthquakes that are detected by three algorithm and evaluated their performances. We found each algorithm has its own strengths and weakness in calculating source parameters. Even though, algorithms are not optimized, cities around the Marmara Sea could get up to 50 seconds warning time with existing infrastructure. First alert could be given in 12 seconds after origin time and blind-zone could get minimum 40 km radius. The main reason of delays on detecting earthquake is packet size of data (7 seconds in average). We confirm that SeisComp3 platform requires additional time to locate earthquakes and it needs to be optimized for EEWS. This study could help algorithm developer of three EEWS to optimize their systems in other seismically active region and different earthquake environment. We believe results derived from this study will provide precious information for both habitants in Marmara region and geo-scientist.

  9. Appetitive associative learning recruits a distinct network with cortical, striatal, and hypothalamic regions

    PubMed Central

    Cole, Sindy; Hobin, Michael P.; Petrovich, Gorica D.

    2014-01-01

    The amygdala, prefrontal cortex, striatum and other connected forebrain areas are important for reward-associated learning and subsequent behaviors. How these structurally and functionally dissociable regions are recruited during initial learning, however, is unclear. Recently, we showed amygdalar nuclei were differentially recruited across different stages of cue-food associations in a Pavlovian conditioning paradigm. Here, we systematically examined Fos induction in the forebrain, including areas associated with the amygdala, during early (day 1) and late (day 10) training sessions of cue-food conditioning. During training, rats in the conditioned group received tone-food pairings, while controls received presentations of the tone alone in the conditioning chamber followed by food delivery in their home cage. We found that a small subset of telencephalic and hypothalamic regions were differentially recruited during the early and late stages of training, suggesting evidence of learning induced plasticity. Initial tone-food pairings recruited solely the amygdala, while late tone-food pairings came to induce Fos in distinct areas within the medial and lateral prefrontal cortex, the dorsal striatum, and the hypothalamus (lateral hypothalamus and paraventricular nucleus). Furthermore, within the perifornical lateral hypothalamus, tone-food pairings selectively recruited neurons that produce the orexigenic neuropeptide orexin/hypocretin. These data show a functional map of the forebrain areas recruited by appetitive associative learning and dependent on experience. These selectively activated regions include interconnected prefrontal, striatal, and hypothalamic regions that form a discrete but distributed network that is well placed to simultaneously inform cortical (cognitive) processing and behavioral (motivational) control during cue-food learning. PMID:25463526

  10. New PBO GPS Station Construction: Eastern Region Network Enhancements and Multiple-Monument Stability Comparisons

    NASA Astrophysics Data System (ADS)

    Dittmann, S. T.; Austin, K. E.; Berglund, H. T.; Blume, F.; Feaux, K.; Mann, D.; Mattioli, G. S.; Walls, C. P.

    2013-12-01

    The Plate Boundary Observatory (PBO) network consists of 1100 continuously operating, permanent GPS stations throughout the United States. The majority of this network was constructed using NSF-MREFC funding as part of the EarthScope Project during FY2003-FY2008. Since FY2009, UNAVCO has operated and maintained PBO through a Cooperative Agreement (CA) with NSF. Construction of new, permanent GPS monuments in the PBO network was the result of two change orders to the original PBO O&M CA. Change Order 33 (CO33) allocated funds to construct additional GPS stations at six locations in the Eastern Region of PBO. Three of these locations were designed to replace poorly performing existing GPS monuments in Georgia, Texas and New York. The remaining three new locations were selected to fill in gaps in network coverage in Pennsylvania, Wisconsin and North Dakota. Construction of all six new sites was completed in September 2013. Important scientific goals for CO33 include improvement of the stable North American reference frame, measurement of the vertical signal associated with the Glacial Isostatic Adjustment, and improved constraints on surface deformation and possible earthquakes, which occur in the low-strain tectonic setting of the eastern North American Plate. Change Order 35 (CO35) allocated funds to construct two additional geodetic monuments at five existing PBO stations in order to test and compare the long-term stability of various monument designs under near-identical geologic conditions. Sites were chosen to yield a variety of geographic, hydrologic and geologic conditions, including both fine-grained alluvium and crystalline bedrock. At each location, three different monuments (deep drill braced, short drill braced/driven-braced, mast/pillar) were built with 10 meter spacing, with shared power systems and data telemetry infrastructure. Construction of these multi-monument test locations began in October 2012 and finished in September 2013. See G010- Berglund

  11. eHealth vision towards cooperative patient care--domain fields and architectural challenges of regional health care networks.

    PubMed

    Gusew, Nathalie; Gerlach, Annekatrin; Bartkiewicz, Thomas; Goldapp, Michael; Haux, Reinhold; Heller, Ulrich; Hellrung, Nils; Kierdorf, Horst-P; Kleinschmidt, Thorsten; Markurth, Ulrich; Marschollek, Michael; Plischke, Maik; Schubert, Rainer; Seidel, Christoph; Wiegmann, Holger

    2010-01-01

    Numerous eHealth projects and efforts to establish inter-organizational communication and to build up regional health care networks could be observed in the last ten years. Nevertheless the success of such efforts is profoundly different. The aim of this paper is to introduce the lately started regional initiative eHealth.Braunschweig compounding of the major health care players (hospitals, physician offices, nursing services and nursing homes) in the region of Braunschweig, participants from research institutions and industry. We propose in this paper the main goals of the regional initiative eHealth.Braunschweig, its constitution and major approaches. Based on respective literature and our former projects as well as experiences in this field we discuss our vision of a patient-oriented cooperative health care by depicting regional distinctions, identifying the major domain fields in this context and discussing the architectural challenges for the regional health care network eHealth.Braunschweig. In our view this work can be considered as a systematical approach to the establishment of regional health care networks with lasting and sustainable effects on patient-centered health care in a region.

  12. Water quality success stories: Integrated assessments from the IOOS regional associations and national water quality monitoring network

    USGS Publications Warehouse

    Ragsdale, Rob; Vowinkel, Eric; Porter, Dwayne; Hamilton, Pixie; Morrison, Ru; Kohut, Josh; Connell, Bob; Kelsey, Heath; Trowbridge, Phil

    2011-01-01

    The Integrated Ocean Observing System (IOOS®) Regional Associations and Interagency Partners hosted a water quality workshop in January 2010 to discuss issues of nutrient enrichment and dissolved oxygen depletion (hypoxia), harmful algal blooms (HABs), and beach water quality. In 2007, the National Water Quality Monitoring Council piloted demonstration projects as part of the National Water Quality Monitoring Network (Network) for U.S. Coastal Waters and their Tributaries in three IOOS Regional Associations, and these projects are ongoing. Examples of integrated science-based solutions to water quality issues of major concern from the IOOS regions and Network demonstration projects are explored in this article. These examples illustrate instances where management decisions have benefited from decision-support tools that make use of interoperable data. Gaps, challenges, and outcomes are identified, and a proposal is made for future work toward a multiregional water quality project for beach water quality.

  13. The energy balance and pressure in the solar transition zone for network and active region features

    NASA Technical Reports Server (NTRS)

    Nicolas, K. R.; Bartoe, J.-D. F.; Brueckner, G. E.; Vanhoosier, M. E.

    1979-01-01

    The electron pressure and energy balance in the solar transition zone are determined for about 125 network and active region features on the basis of high spectral and spatial resolution extreme ultraviolet spectra. Si III line intensity ratios obtained from the Naval Research Laboratory high-resolution telescope and spectrograph during a rocket flight are used as diagnostics of electron density and pressure for solar features near 3.5 x 10 to the 4th K. Observed ratios are compared with the calculated dependence of the 1301 A/1312 A and 1301 A/1296 A line intensity ratios on electron density, temperature and pressure. Electron densities ranging from 2 x 10 to the 10th/cu cm to 10 to the 12th/cu cm and active region pressures from 3 x 10 to the 15th to 10 to the 16th/cu cm K are obtained. Energy balance calculations reveal the balance of the divergence of the conductive flux and turbulent energy dissipation by radiative energy losses in a plane-parallel homogeneous transition zone (fill factor of 1), and an energy source requirement for a cylindrical zone geometry (fill factor less than 0.04).

  14. The neurosurgical telecounseling network in the Veneto Region: 4 years of experience of HEALTH OPTIMUM.

    PubMed

    Dario, Claudio; Scannapieco, Gianluigi; Scienza, Renato; Carraro, Maria Grazia; Saccavini, Claudio; Vio, Elena; Valongo, Sara

    2014-11-01

    Neurosurgery is a highly specialized service that, because of high costs, is often centralized. Since 2005, a neurosurgical telecounseling service was defined and then deployed in the Veneto Region. It was aimed at creating the same range of services for head trauma by using standardized protocols at regional levels and at rationalizing the use of human and technological resources by providing a network of services that manages patients at the local level. The main objective of the study was to evaluate the use of this service. Interoperability and flexibility were granted by creating a technological framework based on international standards. Physicians of local hospitals electronically transmit patients' clinical data and images to neurosurgeons located at a central hospital. These physicians respond to the requesting physicians by providing all the necessary recommendations. The outcomes were collected over a period of 41 months. The service is now available in 34 hospitals. Every year 3,181 telecounselings are conducted for patients with an average age of 65.5 years (55% male, 45% female) whose health status is mainly not serious. Within 30 min from the request of telecounseling, 49% of responses are sent. In 84% of cases the patient was not moved. The overall appreciation of clinicians is positive (4.3/5). Intervention time was reduced, and resources were optimized. The service brought remarkable benefits at the organizational level. The reorganization of the processes and patient management leads to rationalization of both human and technological resources.

  15. Potential fault region detection in TFDS images based on convolutional neural network

    NASA Astrophysics Data System (ADS)

    Sun, Junhua; Xiao, Zhongwen

    2016-10-01

    In recent years, more than 300 sets of Trouble of Running Freight Train Detection System (TFDS) have been installed on railway to monitor the safety of running freight trains in China. However, TFDS is simply responsible for capturing, transmitting, and storing images, and fails to recognize faults automatically due to some difficulties such as such as the diversity and complexity of faults and some low quality images. To improve the performance of automatic fault recognition, it is of great importance to locate the potential fault areas. In this paper, we first introduce a convolutional neural network (CNN) model to TFDS and propose a potential fault region detection system (PFRDS) for simultaneously detecting four typical types of potential fault regions (PFRs). The experimental results show that this system has a higher performance of image detection to PFRs in TFDS. An average detection recall of 98.95% and precision of 100% are obtained, demonstrating the high detection ability and robustness against various poor imaging situations.

  16. The energy balance and pressure in the solar transition zone for network and active region features

    NASA Technical Reports Server (NTRS)

    Nicolas, K. R.; Bartoe, J.-D. F.; Brueckner, G. E.; Vanhoosier, M. E.

    1979-01-01

    The electron pressure and energy balance in the solar transition zone are determined for about 125 network and active region features on the basis of high spectral and spatial resolution extreme ultraviolet spectra. Si III line intensity ratios obtained from the Naval Research Laboratory high-resolution telescope and spectrograph during a rocket flight are used as diagnostics of electron density and pressure for solar features near 3.5 x 10 to the 4th K. Observed ratios are compared with the calculated dependence of the 1301 A/1312 A and 1301 A/1296 A line intensity ratios on electron density, temperature and pressure. Electron densities ranging from 2 x 10 to the 10th/cu cm to 10 to the 12th/cu cm and active region pressures from 3 x 10 to the 15th to 10 to the 16th/cu cm K are obtained. Energy balance calculations reveal the balance of the divergence of the conductive flux and turbulent energy dissipation by radiative energy losses in a plane-parallel homogeneous transition zone (fill factor of 1), and an energy source requirement for a cylindrical zone geometry (fill factor less than 0.04).

  17. Scene text detection via extremal region based double threshold convolutional network classification

    PubMed Central

    Zhu, Wei; Lou, Jing; Chen, Longtao; Xia, Qingyuan

    2017-01-01

    In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a perception-based illumination invariant color space by saliency-enhanced MSER algorithm. A discriminative convolutional neural network (CNN) is jointly trained with multi-level information including pixel-level and character-level information as character candidate classifier. Each image patch is classified as strong text, weak text and non-text by double threshold filtering instead of conventional one-step classification, leveraging confident scores obtained via CNN. To further prune non-text regions, we develop a recursive neighborhood search algorithm to track credible texts from weak text set. Finally, characters are grouped into text lines using heuristic features such as spatial location, size, color, and stroke width. We compare our approach with several state-of-the-art methods, and experiments show that our method achieves competitive performance on public datasets ICDAR 2011 and ICDAR 2013. PMID:28820891

  18. Regional GPS TEC modeling; Attempted spatial and temporal extrapolation of TEC using neural networks

    NASA Astrophysics Data System (ADS)

    Habarulema, John Bosco; McKinnell, Lee-Anne; Opperman, Ben D. L.

    2011-04-01

    In this paper, the potential extrapolation capabilities and limitations of artificial neural networks (ANNs) are investigated. This is primarily done by generating total electron content (TEC) predictions using the regional southern Africa total electron content prediction (SATECP) model based on the Global Positioning System (GPS) data and ANNs with the aid of multiple inputs intended to enable the software to learn and correlate the relationship between their variations and the target parameter, TEC. TEC values are predicted over regions that were not covered in the model's development, although it is difficult to validate their accuracy in some cases. The SATECP model is also used to forecast hourly TEC variability 1 year ahead in order to assess the forecasting capability of ANNs in generalizing TEC patterns. The developed SATECP model has also been independently validated by ionosonde data and TEC values derived from the adapted University of New Brunswick Ionospheric Mapping Technique (UNB-IMT) over southern Africa. From the comparison of prediction results with actual GPS data, it is observed that ANNs extrapolate relatively well during quiet periods while the accuracy is low during geomagnetically disturbed conditions. However, ANNs correctly identify both positive and negative storm effects observed in GPS TEC data analyzed within the input space.

  19. Scene text detection via extremal region based double threshold convolutional network classification.

    PubMed

    Zhu, Wei; Lou, Jing; Chen, Longtao; Xia, Qingyuan; Ren, Mingwu

    2017-01-01

    In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a perception-based illumination invariant color space by saliency-enhanced MSER algorithm. A discriminative convolutional neural network (CNN) is jointly trained with multi-level information including pixel-level and character-level information as character candidate classifier. Each image patch is classified as strong text, weak text and non-text by double threshold filtering instead of conventional one-step classification, leveraging confident scores obtained via CNN. To further prune non-text regions, we develop a recursive neighborhood search algorithm to track credible texts from weak text set. Finally, characters are grouped into text lines using heuristic features such as spatial location, size, color, and stroke width. We compare our approach with several state-of-the-art methods, and experiments show that our method achieves competitive performance on public datasets ICDAR 2011 and ICDAR 2013.

  20. A Regional Atmospheric Continuous CO2 Network In The Rocky Mountains (Rocky RACCOON)

    NASA Astrophysics Data System (ADS)

    Stephens, B.; de Wekker, S.; Watt, A.; Schimel, D.

    2005-12-01

    We have established a continuous CO2 observing network in the Rocky Mountains, building on technological and modeling advances made during the Carbon in the Mountains Experiment (CME), to improve our understanding of regional carbon fluxes and to fill key gaps in the North American Carbon Program (NACP). We will present a description of the Rocky RACCOON network and early results from the first three sites. There are strong scientific and societal motivations for determining CO2 exchanges on regional scales. NACP aims to address these concerns through a dramatic expansion in observations and modeling capabilities over North America. Mountain forests in particular represent a significant potential net CO2 sink in the U.S. and are highly sensitive to land-use practices and climate change. However, plans for new continuous CO2 observing sites have omitted the mountain west. This resulted from expensive instrumentation in the face of limited resources, and a perception that current atmospheric transport models are not sophisticated enough to interpret CO2 measurements made in complex terrain. Through our efforts in CME, we have a new autonomous, inexpensive, and robust CO2 analysis system and are developing mountain CO2 modeling tools that will help us to overcome these obstacles. Preliminary observational and modeling results give us confidence that continuous CO2 observations from mountain top observatories will provide useful constraints on regional carbon cycling and will be valuable in the continental inverse modeling efforts planned for NACP. We began at three Colorado sites in August 2005 and hope to add three to six sites in other western states in subsequent years, utilizing existing observatories to the maximum extent possible. The first three sites are at Niwot Ridge, allowing us to have an ongoing intercomparison with flask measurements made by NOAA CMDL; at Storm Peak Laboratory near Steamboat Springs, allowing us to investigate comparisons between these

  1. [Trauma network of the German Association of Trauma Surgery (DGU). Establishment, organization, and quality assurance of a regional trauma network of the DGU].

    PubMed

    Ruchholtz, S; Kühne, C A; Siebert, H

    2007-04-01

    The quality of care in Germany for seriously injured patients varies greatly in individual hospitals due to geographic variations among States and differences in resource allocation and treatment concepts. To assure and enhance treatment quality it seems sensible to establish a structured, quality assured network of clinics, which participate in the management of seriously injured patients according to different specified assignments. The conditions necessary for this type of network on a regional scale and for the clinics charged with the care of the seriously injured were summarized in the White Paper entitled "Management of the Seriously Injured-Recommendations for the Structure and Organization of Facilities in Germany for the Treatment of Seriously Injured Persons." The goal of this action is to ensure that every seriously injured person in Germany receives the best possible round-the-clock care in adherence to standardized quality criteria. This requires specialized expertise and the willingness of all involved parties-care providers, cost bearers, and hospital owners-to cooperate in further improving existing treatment concepts. As a logical consequence of long years of experience and scientific knowledge, the German Association of Trauma Surgery has developed a concept for establishing a regional trauma network of clinics, adapted to local conditions, for management of seriously injured patients. The participating facilities assume different responsibilities in the network depending on their equipment and structure. This article describes the individual steps toward establishing and organizing a network.

  2. Query and Visualization of extremely large network datasets over the web using Quadtree based KML Regional Network Links

    SciTech Connect

    Dadi, Upendra; Liu, Cheng; Vatsavai, Raju

    2009-01-01

    Geographic data sets are often very large in size. Interactive visualization of such data at all scales is not easy because of the limited resolution of the monitors and inability of visualization applications to handle the volume of data. This is especially true for large vector datasets. The end user s experience is frequently unsatisfactory when exploring such data over the web using a naive application. Network bandwidth is another contributing factor to the low performance. In this paper, a Quadtree based technique to visualize extremely large spatial network datasets over the web is described. It involves using custom developed algorithms leveraging a PostGIS database as the data source and Google Earth as the visualization client. This methodology supports both point and range queries along with non-spatial queries. This methodology is demonstrated using a network dataset consisting of several million links. The methodology is based on using some of the powerful features of KML (Keyhole Markup Language). Keyhole Markup Language (KML) is an Open Geospatial Consortium (OGC) standard for displaying geospatial data on Earth browsers. One of the features of KML is the notion of Network Links. Using network links, a wide range of geospatial data sources such as geodatabases, static files and geospatial data services can be simultaneously accessed and visualized seamlessly. Using the network links combined with Level of Detail principle, view based rendering and intelligent server and client-side caching, scalability in visualizing extremely large spatial datasets can be achieved.

  3. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

    PubMed Central

    Xu, Jun; Luo, Xiaofei; Wang, Guanhao; Gilmore, Hannah; Madabhushi, Anant

    2016-01-01

    Epithelial (EP) and stromal (ST) are two types of tissues in histological images. Automated segmentation or classification of EP and ST tissues is important when developing computerized system for analyzing the tumor microenvironment. In this paper, a Deep Convolutional Neural Networks (DCNN) based feature learning is presented to automatically segment or classify EP and ST regions from digitized tumor tissue microarrays (TMAs). Current approaches are based on handcraft feature representation, such as color, texture, and Local Binary Patterns (LBP) in classifying two regions. Compared to handcrafted feature based approaches, which involve task dependent representation, DCNN is an end-to-end feature extractor that may be directly learned from the raw pixel intensity value of EP and ST tissues in a data driven fashion. These high-level features contribute to the construction of a supervised classifier for discriminating the two types of tissues. In this work we compare DCNN based models with three handcraft feature extraction based approaches on two different datasets which consist of 157 Hematoxylin and Eosin (H&E) stained images of breast cancer and 1376 immunohistological (IHC) stained images of colorectal cancer, respectively. The DCNN based feature learning approach was shown to have a F1 classification score of 85%, 89%, and 100%, accuracy (ACC) of 84%, 88%, and 100%, and Matthews Correlation Coefficient (MCC) of 86%, 77%, and 100% on two H&E stained (NKI and VGH) and IHC stained data, respectively. Our DNN based approach was shown to outperform three handcraft feature extraction based approaches in terms of the classification of EP and ST regions. PMID:28154470

  4. 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.

  5. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.

    PubMed

    Xu, Jun; Luo, Xiaofei; Wang, Guanhao; Gilmore, Hannah; Madabhushi, Anant

    2016-05-26

    Epithelial (EP) and stromal (ST) are two types of tissues in histological images. Automated segmentation or classification of EP and ST tissues is important when developing computerized system for analyzing the tumor microenvironment. In this paper, a Deep Convolutional Neural Networks (DCNN) based feature learning is presented to automatically segment or classify EP and ST regions from digitized tumor tissue microarrays (TMAs). Current approaches are based on handcraft feature representation, such as color, texture, and Local Binary Patterns (LBP) in classifying two regions. Compared to handcrafted feature based approaches, which involve task dependent representation, DCNN is an end-to-end feature extractor that may be directly learned from the raw pixel intensity value of EP and ST tissues in a data driven fashion. These high-level features contribute to the construction of a supervised classifier for discriminating the two types of tissues. In this work we compare DCNN based models with three handcraft feature extraction based approaches on two different datasets which consist of 157 Hematoxylin and Eosin (H&E) stained images of breast cancer and 1376 immunohistological (IHC) stained images of colorectal cancer, respectively. The DCNN based feature learning approach was shown to have a F1 classification score of 85%, 89%, and 100%, accuracy (ACC) of 84%, 88%, and 100%, and Matthews Correlation Coefficient (MCC) of 86%, 77%, and 100% on two H&E stained (NKI and VGH) and IHC stained data, respectively. Our DNN based approach was shown to outperform three handcraft feature extraction based approaches in terms of the classification of EP and ST regions.

  6. Evaluation of Height System Biases for Regional Levelling Network in Saudi Arabia Using EGM08 and GOCE Models

    NASA Astrophysics Data System (ADS)

    Alothman, Abdulaziz; Gruber, Thomas; Bouman, Johannes

    2013-04-01

    In order to estimate an accurate national geoid model for Saudi Arabia, existing regional levelling data will be utilized. These data consist of about 5898 Bench Marks (BM) of ARAMCO network distributed all over the country and was observed by GPS receivers, known hereafter as BM/GPS. The levelling network is dense in the eastern region while in other areas, especially in the western region, data coverage is sparse. The vertical datum is based on the mean sea level (MSL) at RasTanura Tidal BM in the East coast of the region (i.e. in the Arabian Gulf). We expect that this regional vertical reference system differs from the global reference system. We present the evaluation of this regional levelling network using satellite based geopotential models (GPM). For this study the EGM2008 model as well as the most recent GOCE GPMs will be used, which provide a homogeneous reference surface. To estimate the height system biases, we compare the height anomalies determined by GNSS/Levelling at each point to those computed (synthesized) by the GPMs. Statistical analyses of the computation, mean values and RMS, will be shown. Finally, we will directly compare GPM geoids and the GNSS/Levelling data at different spatial resolutions in order to validate the GNSS/Levelling data. The conclusion of this study will show the biased (rejected) sites and the suitability of GOCE model to carry out regional geoid modelling.

  7. A new regional RADAR network for nowcasting applications: the RESMAR achievements

    NASA Astrophysics Data System (ADS)

    Antonini, Andrea; Melani, Samantha; Mazza, Alessandro; Ortolani, Alberto; Gozzini, Bernardo; Corongiu, Manuela; Cristofori, Simone

    2013-04-01

    satellite data largely improves the spatial and temporal information on the events, filling up the gaps of uneven data distribution; for this issue LaMMA has multi-year skills in the acquisition and processing of geostationary and polar satellites. The regional raingauge network and meteorological stations will be instead used to obtain useful information both to calibration (as those related to radar reflectivity - rain rate relationships) and validation processes. The radar system and its mosaicking will be presented, as well as some preliminary products.

  8. Network Connectedness, Sense of Community, and Risk Perception of Climate Change Professionals in the Pacific Islands Region

    NASA Astrophysics Data System (ADS)

    Corlew, L. K.; Keener, V. W.; Finucane, M.

    2013-12-01

    The Pacific Regional Integrated Sciences and Assessments (Pacific RISA) Program conducted social network analysis research of climate change professionals (broadly defined) who are from or work in Hawaii and the U.S.-Affiliated Pacific Islands (USAPI) region. This study is supported by the National Oceanic and Atmospheric Administration (NOAA) and the Pacific Islands Climate Science Center (PICSC) to address an identified need for a resource that quantifies the region's collaborative network of climate change professionals, and that supports the further development of cross-regional and inter-sectoral collaborations for future research and adaptation activities. A survey was distributed to nearly 1,200 people who are from and/or work in climate change related fields in the region. The Part One Survey questions (not confidential) created a preferential attachment network by listing major players in Hawaii and the USAPI, with additional open fields to identify important contacts in the greater professional network. Participants (n=340) identified 975 network contacts and frequency of communications (weekly, monthly, seasonally, yearly, at least once ever). Part Two Survey questions (confidential, n=302) explored climate change risk perceptions, Psychological Sense of Community (PSOC), sense of control over climate change impacts, sense of responsibility to act, policy beliefs and preferences regarding climate change actions, concern and optimism scales about specific impacts, and demographic information. Graphical representations of the professional network are being developed for release in September 2013 as a free online tool to promote and assist collaboration building among climate professionals in the region. The graphs are partitioned according to network 'hubs' (high centrality), participant location, and profession to clearly identify network strengths and opportunities for future collaborations across spatial and professional boundaries. For additional

  9. The default mode network and EEG regional spectral power: a simultaneous fMRI-EEG study.

    PubMed

    Neuner, Irene; Arrubla, Jorge; Werner, Cornelius J; Hitz, Konrad; Boers, Frank; Kawohl, Wolfram; Shah, N Jon

    2014-01-01

    Electroencephalography (EEG) frequencies have been linked to specific functions as an "electrophysiological signature" of a function. A combination of oscillatory rhythms has also been described for specific functions, with or without predominance of one specific frequency-band. In a simultaneous fMRI-EEG study at 3 T we studied the relationship between the default mode network (DMN) and the power of EEG frequency bands. As a methodological approach, we applied Multivariate Exploratory Linear Optimized Decomposition into Independent Components (MELODIC) and dual regression analysis for fMRI resting state data. EEG power for the alpha, beta, delta and theta-bands were extracted from the structures forming the DMN in a region-of-interest approach by applying Low Resolution Electromagnetic Tomography (LORETA). A strong link between the spontaneous BOLD response of the left parahippocampal gyrus and the delta-band extracted from the anterior cingulate cortex was found. A positive correlation between the beta-1 frequency power extracted from the posterior cingulate cortex (PCC) and the spontaneous BOLD response of the right supplementary motor cortex was also established. The beta-2 frequency power extracted from the PCC and the precuneus showed a positive correlation with the BOLD response of the right frontal cortex. Our results support the notion of beta-band activity governing the "status quo" in cognitive and motor setup. The highly significant correlation found between the delta power within the DMN and the parahippocampal gyrus is in line with the association of delta frequencies with memory processes. We assumed "ongoing activity" during "resting state" in bringing events from the past to the mind, in which the parahippocampal gyrus is a relevant structure. Our data demonstrate that spontaneous BOLD fluctuations within the DMN are associated with different EEG-bands and strengthen the conclusion that this network is characterized by a specific

  10. The Default Mode Network and EEG Regional Spectral Power: A Simultaneous fMRI-EEG Study

    PubMed Central

    Werner, Cornelius J.; Hitz, Konrad; Boers, Frank; Kawohl, Wolfram; Shah, N. Jon

    2014-01-01

    Electroencephalography (EEG) frequencies have been linked to specific functions as an “electrophysiological signature” of a function. A combination of oscillatory rhythms has also been described for specific functions, with or without predominance of one specific frequency-band. In a simultaneous fMRI-EEG study at 3 T we studied the relationship between the default mode network (DMN) and the power of EEG frequency bands. As a methodological approach, we applied Multivariate Exploratory Linear Optimized Decomposition into Independent Components (MELODIC) and dual regression analysis for fMRI resting state data. EEG power for the alpha, beta, delta and theta-bands were extracted from the structures forming the DMN in a region-of-interest approach by applying Low Resolution Electromagnetic Tomography (LORETA). A strong link between the spontaneous BOLD response of the left parahippocampal gyrus and the delta-band extracted from the anterior cingulate cortex was found. A positive correlation between the beta-1 frequency power extracted from the posterior cingulate cortex (PCC) and the spontaneous BOLD response of the right supplementary motor cortex was also established. The beta-2 frequency power extracted from the PCC and the precuneus showed a positive correlation with the BOLD response of the right frontal cortex. Our results support the notion of beta-band activity governing the “status quo” in cognitive and motor setup. The highly significant correlation found between the delta power within the DMN and the parahippocampal gyrus is in line with the association of delta frequencies with memory processes. We assumed “ongoing activity” during “resting state” in bringing events from the past to the mind, in which the parahippocampal gyrus is a relevant structure. Our data demonstrate that spontaneous BOLD fluctuations within the DMN are associated with different EEG-bands and strengthen the conclusion that this network is characterized by a specific

  11. Extrinsic and Intrinsic Brain Network Connectivity Maintains Cognition across the Lifespan Despite Accelerated Decay of Regional Brain Activation

    PubMed Central

    Henson, Richard N.A.; Tyler, Lorraine K.; Razi, Adeel; Geerligs, Linda; Ham, Timothy E.; Rowe, James B.

    2016-01-01

    large population-based cohort (n = 602, 18–88 years), separating neural connectivity from vascular components of fMRI signals. Cognitive ability was influenced by the strength of connection within and between functional brain networks, and this positive relationship increased with age. In older adults, there was more rapid decay of intrinsic neuronal activity in multiple regions of the brain networks, which related to cognitive performance. Our data demonstrate increased reliance on network flexibility to maintain cognitive function, in the presence of more rapid decay of neural activity. These insights will facilitate the development of new strategies to maintain cognitive ability. PMID:26985024

  12. Networked resilience in rural Australia--a role for health promotion in regional responses to climate change.

    PubMed

    van Beurden, Eric K; Kia, Annie M; Hughes, Denise; Fuller, Jeffery D; Dietrich, Uta; Howton, Kirsty; Kavooru, Suman

    2011-12-01

    This paper provides a model for how health promotion teams might establish and support regional collaborations of organisations in a broad response to climate change that enables emergence of multiple strategies tailored to regional needs. Complex Adaptive Systems Theory (CAS) and Organisational Learning informed action to foster a Climate Change Collaboration that engaged in strategies to improve transport options, food security and energy sustainability. Social Network Analysis was used to evaluate the degree to which member organisations became networked, the evolution of key network qualities and the way the organisations were affiliated via their participation in emergent strategies. Between 2005 and 2009 a highly connected network of organisations emerged and rapidly evolved to collaborate for action on climate change. There were significant improvements in network density, centralisation, clustering and reciprocity. Member organisations collaborated on a broad range of strategies. Reducing regional impact of climate change is complex. It requires long-term collaboration between organisations that may not usually work together. Sustain Northern Rivers provides a successful model for achieving such collaboration.

  13. A regional neural network model for predicting mean daily river water temperature

    USGS Publications Warehouse

    Wagner, Tyler; DeWeber, Jefferson Tyrell

    2014-01-01

    Water temperature is a fundamental property of river habitat and often a key aspect of river resource management, but measurements to characterize thermal regimes are not available for most streams and rivers. As such, we developed an artificial neural network (ANN) ensemble model to predict mean daily water temperature in 197,402 individual stream reaches during the warm season (May–October) throughout the native range of brook trout Salvelinus fontinalis in the eastern U.S. We compared four models with different groups of predictors to determine how well water temperature could be predicted by climatic, landform, and land cover attributes, and used the median prediction from an ensemble of 100 ANNs as our final prediction for each model. The final model included air temperature, landform attributes and forested land cover and predicted mean daily water temperatures with moderate accuracy as determined by root mean squared error (RMSE) at 886 training sites with data from 1980 to 2009 (RMSE = 1.91 °C). Based on validation at 96 sites (RMSE = 1.82) and separately for data from 2010 (RMSE = 1.93), a year with relatively warmer conditions, the model was able to generalize to new stream reaches and years. The most important predictors were mean daily air temperature, prior 7 day mean air temperature, and network catchment area according to sensitivity analyses. Forest land cover at both riparian and catchment extents had relatively weak but clear negative effects. Predicted daily water temperature averaged for the month of July matched expected spatial trends with cooler temperatures in headwaters and at higher elevations and latitudes. Our ANN ensemble is unique in predicting daily temperatures throughout a large region, while other regional efforts have predicted at relatively coarse time steps. The model may prove a useful tool for predicting water temperatures in sampled and unsampled rivers under current conditions and future projections of climate

  14. Ad-Hoc Sensor Networks for Maritime Interdiction Operations and Regional Security

    DTIC Science & Technology

    2012-09-01

    to examine how unstructured sensor networks, known also as ad-hoc sensor networks, can effectively support maritime interdiction operations and...thesis is to examine how unstructured sensor networks, known also as ad-hoc sensor networks, can effectively support maritime interdiction operations...Electromagnetic EIRP Effective Isotropic Radiated Power EO Electro –Optical FOI Swedish Defense Research Agency GGB Golden Gate Bridge GPRS General Packet

  15. Results of APL rain gauge network measurements in mid-Atlantic coast region and comparisons of distributions with CCIR models

    NASA Astrophysics Data System (ADS)

    Goldhirsh, Julius; Gebo, Norman; Rowland, John

    1988-08-01

    In this effort are described cumulative rain rate distributions for a network of nine tipping bucket rain gauge systems located in the mid-Atlantic coast region in the vicinity of the NASA Wallops Flight Facility, Wallops Island, Virginia. The rain gauges are situated within a gridded region of dimensions of 47 km east-west by 70 km north-south. Distributions are presented for the individual site measurements and the network average for the year period June 1, 1986 through May 31, 1987. A previous six year average distribution derived from measurements at one of the site locations is also presented. Comparisons are given of the network average, the CCIR (International Radio Consultative Committee) climatic zone, and the CCIR functional model distributions, the latter of which approximates a log normal at the lower rain rate and a gamma function at the higher rates.

  16. Results of APL rain gauge network measurements in mid-Atlantic coast region and comparisons of distributions with CCIR models

    NASA Technical Reports Server (NTRS)

    Goldhirsh, Julius; Gebo, Norman; Rowland, John

    1988-01-01

    In this effort are described cumulative rain rate distributions for a network of nine tipping bucket rain gauge systems located in the mid-Atlantic coast region in the vicinity of the NASA Wallops Flight Facility, Wallops Island, Virginia. The rain gauges are situated within a gridded region of dimensions of 47 km east-west by 70 km north-south. Distributions are presented for the individual site measurements and the network average for the year period June 1, 1986 through May 31, 1987. A previous six year average distribution derived from measurements at one of the site locations is also presented. Comparisons are given of the network average, the CCIR (International Radio Consultative Committee) climatic zone, and the CCIR functional model distributions, the latter of which approximates a log normal at the lower rain rate and a gamma function at the higher rates.

  17. Colorectal cancer prevention: Perspectives of key players from social networks in a low-income rural US region

    PubMed Central

    Schoenberg, Nancy E.; Eddens, Kathryn; Jonas, Adam; Snell-Rood, Claire; Studts, Christina R.; Broder-Oldach, Benjamin; Katz, Mira L.

    2016-01-01

    Social networks influence health behavior and health status. Within social networks, “key players” often influence those around them, particularly in traditionally underserved areas like the Appalachian region in the USA. From a total sample of 787 Appalachian residents, we identified and interviewed 10 key players in complex networks, asking them what comprises a key player, their role in their network and community, and ideas to overcome and increase colorectal cancer (CRC) screening. Key players emphasized their communication skills, resourcefulness, and special occupational and educational status in the community. Barriers to CRC screening included negative perceptions of the colonoscopy screening procedure, discomfort with the medical system, and misinformed perspectives on screening. Ideas to improve screening focused on increasing awareness of women's susceptibility to CRC, providing information on different screening tests, improving access, and the key role of health-care providers and key players themselves. We provide recommendations to leverage these vital community resources. PMID:26905402

  18. Colorectal cancer prevention: Perspectives of key players from social networks in a low-income rural US region.

    PubMed

    Schoenberg, Nancy E; Eddens, Kathryn; Jonas, Adam; Snell-Rood, Claire; Studts, Christina R; Broder-Oldach, Benjamin; Katz, Mira L

    2016-01-01

    Social networks influence health behavior and health status. Within social networks, "key players" often influence those around them, particularly in traditionally underserved areas like the Appalachian region in the USA. From a total sample of 787 Appalachian residents, we identified and interviewed 10 key players in complex networks, asking them what comprises a key player, their role in their network and community, and ideas to overcome and increase colorectal cancer (CRC) screening. Key players emphasized their communication skills, resourcefulness, and special occupational and educational status in the community. Barriers to CRC screening included negative perceptions of the colonoscopy screening procedure, discomfort with the medical system, and misinformed perspectives on screening. Ideas to improve screening focused on increasing awareness of women's susceptibility to CRC, providing information on different screening tests, improving access, and the key role of health-care providers and key players themselves. We provide recommendations to leverage these vital community resources.

  19. Regional Initiatives in Support of Surveillance in East Africa: The East Africa Integrated Disease Surveillance Network (EAIDSNet) Experience

    PubMed Central

    Ope, Maurice; Sonoiya, Stanley; Kariuki, James; Mboera, Leonard E.G.; Gandham, Ramana N.V.; Schneidman, Miriam; Kimura, Mwihaki

    2013-01-01

    The East African Integrated Disease Surveillance Network (EAIDSNet) was formed in response to a growing frequency of cross-border malaria outbreaks in the 1990s and a growing recognition that fragmented disease interventions, coupled with weak laboratory capacity, were making it difficult to respond in a timely manner to the outbreaks of malaria and other infectious diseases. The East Africa Community (EAC) partner states, with financial support from the Rockefeller Foundation, established EAIDSNet in 2000 to develop and strengthen the communication channels necessary for integrated cross-border disease surveillance and control efforts. The objective of this paper is to review the regional EAIDSNet initiative and highlight achievements and challenges in its implementation. Major accomplishments of EAIDSNet include influencing the establishment of a Department of Health within the EAC Secretariat to support a regional health agenda; successfully completing a regional field simulation exercise in pandemic influenza preparedness; and piloting a web-based portal for linking animal and human health disease surveillance. The strategic direction of EAIDSNet was shaped, in part, by lessons learned following a visit to the more established Mekong Basin Disease Surveillance (MBDS) regional network. Looking to the future, EAIDSNet is collaborating with the East, Central and Southern Africa Health Community (ECSA-HC), EAC partner states, and the World Health Organization to implement the World Bank-funded East Africa Public Health Laboratory Networking Project (EAPHLNP). The network has also begun lobbying East African countries for funding to support EAIDSNet activities. PMID:23362409

  20. St. Louis Regional Library Network Manuals: Delivery System Manual, INFO-PASS Manual, Interlibrary Loan Protocol, Procedures and Policies Manual.

    ERIC Educational Resources Information Center

    Saint Louis Regional Library Network, MO.

    Included in this set of manuals are: (1) guidelines for document delivery to member libraries within the St. Louis Regional Library Network (SLRLN) in which eligible materials are described, addressing and packing are outlined, routing and deliveries are discussed, and a list of delivery system participants is provided; (2) a descriptive guide to…

  1. Mature-Aged Job Seekers' Experiences of Centrelink and the Job Network Services in an Australian Regional Centre

    ERIC Educational Resources Information Center

    Kossen, Chris; Hammer, Sara

    2010-01-01

    Unemployment may be considered a normal, if not likely, experience of a person's lifelong career. This paper is based on a primary, qualitative study that focused on the way mature-aged unemployed citizens experience government unemployment and employment agencies: Centrelink and the Job Network in a large regional city. It contributes to existing…

  2. Mature-Aged Job Seekers' Experiences of Centrelink and the Job Network Services in an Australian Regional Centre

    ERIC Educational Resources Information Center

    Kossen, Chris; Hammer, Sara

    2010-01-01

    Unemployment may be considered a normal, if not likely, experience of a person's lifelong career. This paper is based on a primary, qualitative study that focused on the way mature-aged unemployed citizens experience government unemployment and employment agencies: Centrelink and the Job Network in a large regional city. It contributes to existing…

  3. How a Regional Broker Can Improve Industry Demand for University Interaction: A Case Study of the London Technology Network

    ERIC Educational Resources Information Center

    Reid, Peter; Schofield, Matt

    2006-01-01

    UK university research produces highly cited publications (DTI, 2004), but demand from UK business for commercial ideas from academia is weak (HM Treasury, 2003). This paper reviews factors in the development of one regional UK technology broker, the London Technology Network (LTN), which has achieved significant and audited business demand. The…

  4. EEG default mode network in the human brain: spectral regional field powers.

    PubMed

    Chen, Andrew C N; Feng, Weijia; Zhao, Huixuan; Yin, Yanling; Wang, Peipei

    2008-06-01

    .001) and theta (r=0.77, p<0.001) band. In addition, the great inter-individual variability (90 folds in alpha-1, 62 folds in alpha-2) in regional field power was largely observed in the EC state (10 folds) than the EO state in subjects. To summarize, our study depicts a network of spectral EEG activities simultaneously operative at well defined regional fields in the EC state, varying specifically between EC and EO states. In contrast to transient EEG spectral rhythmic dynamics, current study of long-lasting (e.g. 3 min) spectral field powers can characterize state features in EEG. The EEG default mode network (EEG-DMN) of spectral field powers at rest in the respective EC or EO state is valued to serve as the basal electrophysiological condition in human brain. In health, this EEG-DMN is deemed essential for evaluation of brain functions without task demands for gender difference, developmental change in age span, and brain response to task activation. It is expected to define brain dysfunction in disease at resting state and with consequences for sensory, affective and cognitive alteration in the human brain.

  5. Regional seismic observations of the Non-Proliferation Experiment at the Livermore NTS Network

    SciTech Connect

    Walter, W.R.; Mayeda, K.; Patton, H.J.

    1994-12-31

    The Non-Proliferation Experiment (NPE), a 1-kiloton chemical explosion in N-tunnel at Rainier Mesa on the Nevada Test Site (NTS), was recorded by the four station, regional seismic Livermore NTS Network, (LNN). In this study we compare the NPE`s seismic yield, frequency content, and discrimination performance with other NTS events recorded at LNN. Preliminary findings include: The NPE LNN average magnitudes are 4.16 for m{sub b}(P{sub n}) and 4.59 for m{sub b}(L{sub g}). Using published magnitude-yield relations gives nuclear equivalent yields of 2.3 and 2.2 kilotons respectively, implying enhanced coupling of chemical relative to nuclear explosions. A comparison of the NPE seismograms with those with similar magnitude N-tunnel nuclear explosions shows remarkable similarity over the frequency band 0.5 to 5.0 Hz. Outside this band the explosions show more variability, with the NPE having the least relative energy below 0.5 Hz and the most energy above 5 Hz when scaled by magnitude. Considering the variability within the N-tunnel nuclear explosions, these low- and high-frequency NPE-nuclear differences may not reflect chemical-nuclear source differences. The NPE was compared to a large number of NTS nuclear explosions and earthquakes as part of an ongoing short-period discrimination study of P{sub N}/L{sub g},P{sub g}/L{sub g}, and spectral ratios in the P{sub n}, P{sub g},L{sub g}, and coda phases. For these discriminants, the NPE looks very similar to N-tunnel nuclear explosions and other NTS nuclear explosions, implying seismic identification of contained, non-ripple-fired, chemical explosions as non-nuclear may not be possible. However, such blasts might serve as surrogate nuclear explosions when calibrating seismic discriminants in regions where nuclear testing has not occurred.

  6. Grid-Search Location Methods for Ground-Truth Collection from Local and Regional Seismic Networks

    SciTech Connect

    Schultz, C A; Rodi, W; Myers, S C

    2003-07-24

    The objective of this project is to develop improved seismic event location techniques that can be used to generate more and better quality reference events using data from local and regional seismic networks. Their approach is to extend existing methods of multiple-event location with more general models of the errors affecting seismic arrival time data, including picking errors and errors in model-based travel-times (path corrections). Toward this end, they are integrating a grid-search based algorithm for multiple-event location (GMEL) with a new parameterization of travel-time corrections and new kriging method for estimating the correction parameters from observed travel-time residuals. Like several other multiple-event location algorithms, GMEL currently assumes event-independent path corrections and is thus restricted to small event clusters. The new parameterization assumes that travel-time corrections are a function of both the event and station location, and builds in source-receiver reciprocity and correlation between the corrections from proximate paths as constraints. The new kriging method simultaneously interpolates travel-time residuals from multiple stations and events to estimate the correction parameters as functions of position. They are currently developing the algorithmic extensions to GMEL needed to combine the new parameterization and kriging method with the simultaneous location of events. The result will be a multiple-event location method which is applicable to non-clustered, spatially well-distributed events. They are applying the existing components of the new multiple-event location method to a data set of regional and local arrival times from Nevada Test Site (NTS) explosions with known origin parameters. Preliminary results show the feasibility and potential benefits of combining the location and kriging techniques. They also show some preliminary work on generalizing of the error model used in GMEL with the use of mixture

  7. Cortical rich club regions can organize state-dependent functional network formation by engaging in oscillatory behavior.

    PubMed

    Senden, Mario; Reuter, Niels; van den Heuvel, Martijn P; Goebel, Rainer; Deco, Gustavo

    2017-02-01

    Cognition is hypothesized to require the globally coordinated, functionally relevant integration of otherwise segregated information processing carried out by specialized brain regions. Studies of the macroscopic connectome as well as recent neuroimaging and neuromodeling research have suggested a densely connected collective of cortical hubs, termed the rich club, to provide a central workspace for such integration. In order for rich club regions to fulfill this role they must dispose of a dynamic mechanism by which they can actively shape networks of brain regions whose information processing needs to be integrated. A potential candidate for such a mechanism comes in the form of oscillations which might be employed to establish communication channels among relevant brain regions. We explore this possibility using an integrative approach combining whole-brain computational modeling with neuroimaging, wherein we investigate the local dynamics model brain regions need to exhibit in order to fit (dynamic) network behavior empirically observed for resting as well as a range of task states. We find that rich club regions largely exhibit oscillations during task performance but not during rest. Furthermore, oscillations exhibited by rich club regions can harmonize a set of asynchronous brain regions thus supporting functional coupling among them. These findings are in line with the hypothesis that the rich club can actively shape integration using oscillations.

  8. Topology of genetic associations between regional gray matter volume and intellectual ability: Evidence for a high capacity network.

    PubMed

    Bohlken, Marc M; Brouwer, Rachel M; Mandl, René C W; Hedman, Anna M; van den Heuvel, Martijn P; van Haren, Neeltje E M; Kahn, René S; Pol, Hilleke E Hulshoff

    2016-01-01

    Intelligence is associated with a network of distributed gray matter areas including the frontal and parietal higher association cortices and primary processing areas of the temporal and occipital lobes. Efficient information transfer between gray matter regions implicated in intelligence is thought to be critical for this trait to emerge. Genetic factors implicated in intelligence and gray matter may promote a high capacity for information transfer. Whether these genetic factors act globally or on local gray matter areas separately is not known. Brain maps of phenotypic and genetic associations between gray matter volume and intelligence were made using structural equation modeling of 3T MRI T1-weighted scans acquired in 167 adult twins of the newly acquired U-TWIN cohort. Subsequently, structural connectivity analyses (DTI) were performed to test the hypothesis that gray matter regions associated with intellectual ability form a densely connected core. Gray matter regions associated with intellectual ability were situated in the right prefrontal, bilateral temporal, bilateral parietal, right occipital and subcortical regions. Regions implicated in intelligence had high structural connectivity density compared to 10,000 reference networks (p=0.031). The genetic association with intelligence was for 39% explained by a genetic source unique to these regions (independent of total brain volume), this source specifically implicated the right supramarginal gyrus. Using a twin design, we show that intelligence is genetically represented in a spatially distributed and densely connected network of gray matter regions providing a high capacity infrastructure. Although genes for intelligence have overlap with those for total brain volume, we present evidence that there are genes for intelligence that act specifically on the subset of brain areas that form an efficient brain network.

  9. From Networked Learning to Operational Practice: Constructing and Transferring Superintendent Knowledge in a Regional Instructional Rounds Network

    ERIC Educational Resources Information Center

    Travis, Timothy J.

    2015-01-01

    Instructional rounds are an emerging network structure with processes and protocols designed to develop superintendents' knowledge and skills in leading large-scale improvement, to enable superintendents to build an infrastructure that supports the work of improvement, to assist superintendents in distributing leadership throughout their district,…

  10. From Networked Learning to Operational Practice: Constructing and Transferring Superintendent Knowledge in a Regional Instructional Rounds Network

    ERIC Educational Resources Information Center

    Travis, Timothy J.

    2015-01-01

    Instructional rounds are an emerging network structure with processes and protocols designed to develop superintendents' knowledge and skills in leading large-scale improvement, to enable superintendents to build an infrastructure that supports the work of improvement, to assist superintendents in distributing leadership throughout their district,…

  11. Region-Based Collision Avoidance Beaconless Geographic Routing Protocol in Wireless Sensor Networks

    PubMed Central

    Lee, JeongCheol; Park, HoSung; Kang, SeokYoon; Kim, Ki-Il

    2015-01-01

    Due to the lack of dependency on beacon messages for location exchange, the beaconless geographic routing protocol has attracted considerable attention from the research community. However, existing beaconless geographic routing protocols are likely to generate duplicated data packets when multiple winners in the greedy area are selected. Furthermore, these protocols are designed for a uniform sensor field, so they cannot be directly applied to practical irregular sensor fields with partial voids. To prevent the failure of finding a forwarding node and to remove unnecessary duplication, in this paper, we propose a region-based collision avoidance beaconless geographic routing protocol to increase forwarding opportunities for randomly-deployed sensor networks. By employing different contention priorities into the mutually-communicable nodes and the rest of the nodes in the greedy area, every neighbor node in the greedy area can be used for data forwarding without any packet duplication. Moreover, simulation results are given to demonstrate the increased packet delivery ratio and shorten end-to-end delay, rather than well-referred comparative protocols. PMID:26057037

  12. Learning Oriented Region-based Convolutional Neural Networks for Building Detection in Satellite Remote Sensing Images

    NASA Astrophysics Data System (ADS)

    Chen, C.; Gong, W.; Hu, Y.; Chen, Y.; Ding, Y.

    2017-05-01

    The automated building detection in aerial images is a fundamental problem encountered in aerial and satellite images analysis. Recently, thanks to the advances in feature descriptions, Region-based CNN model (R-CNN) for object detection is receiving an increasing attention. Despite the excellent performance in object detection, it is problematic to directly leverage the features of R-CNN model for building detection in single aerial image. As we know, the single aerial image is in vertical view and the buildings possess significant directional feature. However, in R-CNN model, direction of the building is ignored and the detection results are represented by horizontal rectangles. For this reason, the detection results with horizontal rectangle cannot describe the building precisely. To address this problem, in this paper, we proposed a novel model with a key feature related to orientation, namely, Oriented R-CNN (OR-CNN). Our contributions are mainly in the following two aspects: 1) Introducing a new oriented layer network for detecting the rotation angle of building on the basis of the successful VGG-net R-CNN model; 2) the oriented rectangle is proposed to leverage the powerful R-CNN for remote-sensing building detection. In experiments, we establish a complete and bran-new data set for training our oriented R-CNN model and comprehensively evaluate the proposed method on a publicly available building detection data set. We demonstrate State-of-the-art results compared with the previous baseline methods.

  13. A publicly available simulation of an enhanced network region of the Sun

    NASA Astrophysics Data System (ADS)

    Carlsson, Mats; Hansteen, Viggo H.; Gudiksen, Boris V.; Leenaarts, Jorrit; De Pontieu, Bart

    2016-01-01

    Context. The solar chromosphere is the interface between the solar surface and the solar corona. Modelling of this region is difficult because it represents the transition from optically thick to thin radiation escape, from gas-pressure domination to magnetic-pressure domination, from a neutral to an ionised state, from MHD to plasma physics, and from near-equilibrium (LTE) to non-equilibrium conditions. Aims: Our aim is to provide the community with realistic simulations of the magnetic solar outer atmosphere. This will enable detailed comparison of existing and upcoming observations with synthetic observables from the simulations, thereby elucidating the complex interactions of magnetic fields and plasma that are crucial for our understanding of the dynamic outer atmosphere. Methods: We used the radiation magnetohydrodynamics code Bifrost to perform simulations of a computational volume with a magnetic field topology similar to an enhanced network area on the Sun. Results: The full simulation cubes are made available from the Hinode Science Data Centre Europe. The general properties of the simulation are discussed, and limitations are discussed. The Hinode Science Data Centre Europe (http://www.sdc.uio.no/search/simulations).

  14. An Optimal Hierarchical Decision Model for a Regional Logistics Network with Environmental Impact Consideration

    PubMed Central

    Zhang, Dezhi; Li, Shuangyan

    2014-01-01

    This paper proposes a new model of simultaneous optimization of three-level logistics decisions, for logistics authorities, logistics operators, and logistics users, for regional logistics network with environmental impact consideration. The proposed model addresses the interaction among the three logistics players in a complete competitive logistics service market with CO2 emission charges. We also explicitly incorporate the impacts of the scale economics of the logistics park and the logistics users' demand elasticity into the model. The logistics authorities aim to maximize the total social welfare of the system, considering the demand of green logistics development by two different methods: optimal location of logistics nodes and charging a CO2 emission tax. Logistics operators are assumed to compete with logistics service fare and frequency, while logistics users minimize their own perceived logistics disutility given logistics operators' service fare and frequency. A heuristic algorithm based on the multinomial logit model is presented for the three-level decision model, and a numerical example is given to illustrate the above optimal model and its algorithm. The proposed model provides a useful tool for modeling competitive logistics services and evaluating logistics policies at the strategic level. PMID:24977209

  15. An optimal hierarchical decision model for a regional logistics network with environmental impact consideration.

    PubMed

    Zhang, Dezhi; Li, Shuangyan; Qin, Jin

    2014-01-01

    This paper proposes a new model of simultaneous optimization of three-level logistics decisions, for logistics authorities, logistics operators, and logistics users, for regional logistics network with environmental impact consideration. The proposed model addresses the interaction among the three logistics players in a complete competitive logistics service market with CO2 emission charges. We also explicitly incorporate the impacts of the scale economics of the logistics park and the logistics users' demand elasticity into the model. The logistics authorities aim to maximize the total social welfare of the system, considering the demand of green logistics development by two different methods: optimal location of logistics nodes and charging a CO2 emission tax. Logistics operators are assumed to compete with logistics service fare and frequency, while logistics users minimize their own perceived logistics disutility given logistics operators' service fare and frequency. A heuristic algorithm based on the multinomial logit model is presented for the three-level decision model, and a numerical example is given to illustrate the above optimal model and its algorithm. The proposed model provides a useful tool for modeling competitive logistics services and evaluating logistics policies at the strategic level.

  16. False Positive STEMI Activations in a Regional Network: Comprehensive Analysis and Clinical Impact. Results From the Catalonian Codi Infart Network.

    PubMed

    Regueiro, Ander; Fernández-Rodríguez, Diego; Freixa, Xavier; Bosch, Xavier; Martín-Yuste, Victoria; Brugaletta, Salvatore; Roqué, Mercè; Sabaté, Manel; Masotti, Mónica

    2017-07-12

    ST-segment elevation myocardial infarction (STEMI) network activation by a noncardiologist reduces delay times but may increase the rate of false-positive STEMI diagnoses. We aimed to determine the prevalence, predictors, and clinical impact of false-positive activations within the Catalonian STEMI network (Codi Infart). From January 2010 through December 2011, all consecutive patients treated within the Codi Infart network were included. Code activations were classified as appropriate if they satisfied both electrocardiogram and clinical STEMI criteria. Appropriate activations were classified as false positives using 2 nonexclusive definitions: a) "angiographic" if a culprit coronary artery was not identified, and b) "clinical" if the discharge diagnosis was other than STEMI. In total, 5701 activations were included. Appropriate activation was performed in 87.8% of the episodes. The rate of angiographic false positives was 14.6%, while the rate of clinical false positives was 11.6%. Irrespective of the definition, female sex, left bundle branch block, and previous myocardial infarction were independent predictors of false-positive STEMI diagnoses. Using the clinical definition, hospitals without percutaneous coronary intervention and patients with complications during the first medical contact also had a false-positive STEMI diagnoses rate higher than the mean. In-hospital and 30-day mortality rates were similar for false-positive and true-positive STEMI patients after adjustment for possible confounders. False-positive STEMI diagnoses were frequent. Outcomes were similar for patients with a true-positive or false-positive STEMI diagnosis treated within a STEMI network. The presence of any modifiable predictors of a false-positive STEMI diagnosis warrants careful assessment to optimize the use of STEMI networks. Copyright © 2017 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

  17. Location capability of a sparse regional network (RSTN) using a multi-phase earthquake location algorithm (REGLOC)

    SciTech Connect

    Hutchings, L.

    1994-01-01

    The Regional Seismic Test Network (RSTN) was deployed by the US Department of Energy (DOE) to determine whether data recorded by a regional network could be used to detect and accurately locate seismic events that might be clandestine nuclear tests. The purpose of this paper is to evaluate the location capability of the RSTN. A major part of this project was the development of the location algorithm REGLOC and application of Basian a prior statistics for determining the accuracy of the location estimates. REGLOC utilizes all identifiable phases, including backazimuth, in the location. Ninty-four events, distributed throughout the network area, detected by both the RSTN and located by local networks were used in the study. The location capability of the RSTN was evaluated by estimating the location accuracy, error ellipse accuracy, and the percentage of events that could be located, as a function of magnitude. The location accuracy was verified by comparing the RSTN results for the 94 events with published locations based on data from the local networks. The error ellipse accuracy was evaluated by determining whether the error ellipse includes the actual location. The percentage of events located was assessed by combining detection capability with location capability to determine the percentage of events that could be located within the study area. Events were located with both an average crustal model for the entire region, and with regional velocity models along with station corrections obtained from master events. Most events with a magnitude <3.0 can only be located with arrivals from one station. Their average location errors are 453 and 414 km for the average- and regional-velocity model locations, respectively. Single station locations are very unreliable because they depend on accurate backazimuth estimates, and backazimuth proved to be a very unreliable computation.

  18. Development assistance for health in central and eastern European Region.

    PubMed Central

    Suhrcke, Marc; Rechel, Bernd; Michaud, Catherine

    2005-01-01

    OBJECTIVE: We aimed to quantify development assistance for health to countries of central and eastern Europe and the Commonwealth of Independent States (CEE-CIS). METHODS: We used the International Development Statistics database of the Organisation for Economic Co-operation and Development and the database on development assistance for health compiled for the Commission on Macroeconomics and Health to quantify health development assistance to the region, compared to global and overall development assistance. We based our analysis on standard health indicators, including child mortality, life expectancy at birth and health expenditures. FINDINGS: Although total development assistance per capita to CEE-CIS was higher than that for most other regions of the world, development assistance for health was very low compared to other countries with similar levels of child mortality, life expectancy at birth and national expenditures on health. CONCLUSION: The allocation of development assistance for health on a global scale seems to be related far more to child mortality rather than adult mortality. Countries of CEE-CIS have a high burden of adult morbidity and mortality from non-communicable diseases, which does not appear to attract proportionate development assistance. Levels of development assistance for health should be determined in consideration of the region's particular burden of disease. PMID:16462984

  19. Development assistance for health in central and eastern European Region.

    PubMed

    Suhrcke, Marc; Rechel, Bernd; Michaud, Catherine

    2005-12-01

    We aimed to quantify development assistance for health to countries of central and eastern Europe and the Commonwealth of Independent States (CEE-CIS). We used the International Development Statistics database of the Organisation for Economic Co-operation and Development and the database on development assistance for health compiled for the Commission on Macroeconomics and Health to quantify health development assistance to the region, compared to global and overall development assistance. We based our analysis on standard health indicators, including child mortality, life expectancy at birth and health expenditures. Although total development assistance per capita to CEE-CIS was higher than that for most other regions of the world, development assistance for health was very low compared to other countries with similar levels of child mortality, life expectancy at birth and national expenditures on health. The allocation of development assistance for health on a global scale seems to be related far more to child mortality rather than adult mortality. Countries of CEE-CIS have a high burden of adult morbidity and mortality from non-communicable diseases, which does not appear to attract proportionate development assistance. Levels of development assistance for health should be determined in consideration of the region's particular burden of disease.

  20. Regional vulnerability of longitudinal cortical association connectivity: Associated with structural network topology alterations in preterm children with cerebral palsy.

    PubMed

    Ceschin, Rafael; Lee, Vince K; Schmithorst, Vince; Panigrahy, Ashok

    2015-01-01

    Preterm born children with spastic diplegia type of cerebral palsy and white matter injury or periventricular leukomalacia (PVL), are known to have motor, visual and cognitive impairments. Most diffusion tensor imaging (DTI) studies performed in this group have demonstrated widespread abnormalities using averaged deterministic tractography and voxel-based DTI measurements. Little is known about structural network correlates of white matter topography and reorganization in preterm cerebral palsy, despite the availability of new therapies and the need for brain imaging biomarkers. Here, we combined novel post-processing methodology of probabilistic tractography data in this preterm cohort to improve spatial and regional delineation of longitudinal cortical association tract abnormalities using an along-tract approach, and compared these data to structural DTI cortical network topology analysis. DTI images were acquired on 16 preterm children with cerebral palsy (mean age 5.6 ± 4) and 75 healthy controls (mean age 5.7 ± 3.4). Despite mean tract analysis, Tract-Based Spatial Statistics (TBSS) and voxel-based morphometry (VBM) demonstrating diffusely reduced fractional anisotropy (FA) reduction in all white matter tracts, the along-tract analysis improved the detection of regional tract vulnerability. The along-tract map-structural network topology correlates revealed two associations: (1) reduced regional posterior-anterior gradient in FA of the longitudinal visual cortical association tracts (inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, optic radiation, posterior thalamic radiation) correlated with reduced posterior-anterior gradient of intra-regional (nodal efficiency) metrics with relative sparing of frontal and temporal regions; and (2) reduced regional FA within frontal-thalamic-striatal white matter pathways (anterior limb/anterior thalamic radiation, superior longitudinal fasciculus and cortical spinal tract) correlated with

  1. Functional neuroimaging with default mode network regions distinguishes PTSD from TBI in a military veteran population.

    PubMed

    Raji, Cyrus A; Willeumier, Kristen; Taylor, Derek; Tarzwell, Robert; Newberg, Andrew; Henderson, Theodore A; Amen, Daniel G

    2015-09-01

    PTSD and TBI are two common conditions in veteran populations that can be difficult to distinguish clinically. The default mode network (DMN) is abnormal in a multitude of neurological and psychiatric disorders. We hypothesize that brain perfusion SPECT can be applied to diagnostically separate PTSD from TBI reliably in a veteran cohort using DMN regions. A group of 196 veterans (36 with PTSD, 115 with TBI, 45 with PTSD/TBI) were selected from a large multi-site population cohort of individuals with psychiatric disease. Inclusion criteria were peacetime or wartime veterans regardless of branch of service and included those for whom the traumatic brain injury was not service related. SPECT imaging was performed on this group both at rest and during a concentration task. These measures, as well as the baseline-concentration difference, were then inputted from DMN regions into separate binary logistic regression models controlling for age, gender, race, clinic site, co-morbid psychiatric diseases, TBI severity, whether or not the TBI was service related, and branch of armed service. Predicted probabilities were then inputted into a receiver operating characteristic analysis to compute sensitivity, specificity, and accuracy. Compared to PSTD, persons with TBI were older, male, and had higher rates of bipolar and major depressive disorder (p < 0.05). Baseline quantitative regions with SPECT separated PTSD from TBI in the veterans with 92 % sensitivity, 85 % specificity, and 94 % accuracy. With concentration scans, there was 85 % sensitivity, 83 % specificity and 89 % accuracy. Baseline-concentration (the difference metric between the two scans) scans were 85 % sensitivity, 80 % specificity, and 87 % accuracy. In separating TBI from PTSD/TBI visual readings of baseline scans had 85 % sensitivity, 81 % specificity, and 83 % accuracy. Concentration scans had 80 % sensitivity, 65 % specificity, and 79 % accuracy. Baseline-concentration scans had 82

  2. Surveillance of Carbapenem-Resistant Klebsiella pneumoniae: Tracking Molecular Epidemiology and Outcomes through a Regional Network

    PubMed Central

    Perez, Federico; Rudin, Susan D.; Cober, Eric; Hanrahan, Jennifer; Ziegler, Julie; Webber, Raymond; Fox, Jacqueline; Mason, Pamela; Richter, Sandra S.; Cline, Marianne; Hall, Geraldine S.; Kaye, Keith S.; Jacobs, Michael R.; Kalayjian, Robert C.; Salata, Robert A.; Segre, Julia A.; Conlan, Sean; Evans, Scott; Fowler, Vance G.

    2014-01-01

    Carbapenem resistance in Gram-negative bacteria is on the rise in the United States. A regional network was established to study microbiological and genetic determinants of clinical outcomes in hospitalized patients with carbapenem-resistant (CR) Klebsiella pneumoniae in a prospective, multicenter, observational study. To this end, predefined clinical characteristics and outcomes were recorded and K. pneumoniae isolates were analyzed for strain typing and resistance mechanism determination. In a 14-month period, 251 patients were included. While most of the patients were admitted from long-term care settings, 28% of them were admitted from home. Hospitalizations were prolonged and complicated. Nonsusceptibility to colistin and tigecycline occurred in isolates from 7 and 45% of the patients, respectively. Most of the CR K. pneumoniae isolates belonged to repetitive extragenic palindromic PCR (rep-PCR) types A and B (both sequence type 258) and carried either blaKPC-2 (48%) or blaKPC-3 (51%). One isolate tested positive for blaNDM-1, a sentinel discovery in this region. Important differences between strain types were noted; rep-PCR type B strains were associated with blaKPC-3 (odds ratio [OR], 294; 95% confidence interval [CI], 58 to 2,552; P < 0.001), gentamicin nonsusceptibility (OR, 24; 95% CI, 8.39 to 79.38; P < 0.001), amikacin susceptibility (OR, 11.0; 95% CI, 3.21 to 42.42; P < 0.001), tigecycline nonsusceptibility (OR, 5.34; 95% CI, 1.30 to 36.41; P = 0.018), a shorter length of stay (OR, 0.98; 95% CI, 0.95 to 1.00; P = 0.043), and admission from a skilled-nursing facility (OR, 3.09; 95% CI, 1.26 to 8.08; P = 0.013). Our analysis shows that (i) CR K. pneumoniae is seen primarily in the elderly long-term care population and that (ii) regional monitoring of CR K. pneumoniae reveals insights into molecular characteristics. This work highlights the crucial role of ongoing surveillance of carbapenem resistance determinants. PMID:24798270

  3. Surveillance of carbapenem-resistant Klebsiella pneumoniae: tracking molecular epidemiology and outcomes through a regional network.

    PubMed

    van Duin, David; Perez, Federico; Rudin, Susan D; Cober, Eric; Hanrahan, Jennifer; Ziegler, Julie; Webber, Raymond; Fox, Jacqueline; Mason, Pamela; Richter, Sandra S; Cline, Marianne; Hall, Geraldine S; Kaye, Keith S; Jacobs, Michael R; Kalayjian, Robert C; Salata, Robert A; Segre, Julia A; Conlan, Sean; Evans, Scott; Fowler, Vance G; Bonomo, Robert A

    2014-07-01

    Carbapenem resistance in Gram-negative bacteria is on the rise in the United States. A regional network was established to study microbiological and genetic determinants of clinical outcomes in hospitalized patients with carbapenem-resistant (CR) Klebsiella pneumoniae in a prospective, multicenter, observational study. To this end, predefined clinical characteristics and outcomes were recorded and K. pneumoniae isolates were analyzed for strain typing and resistance mechanism determination. In a 14-month period, 251 patients were included. While most of the patients were admitted from long-term care settings, 28% of them were admitted from home. Hospitalizations were prolonged and complicated. Nonsusceptibility to colistin and tigecycline occurred in isolates from 7 and 45% of the patients, respectively. Most of the CR K. pneumoniae isolates belonged to repetitive extragenic palindromic PCR (rep-PCR) types A and B (both sequence type 258) and carried either blaKPC-2 (48%) or blaKPC-3 (51%). One isolate tested positive for blaNDM-1, a sentinel discovery in this region. Important differences between strain types were noted; rep-PCR type B strains were associated with blaKPC-3 (odds ratio [OR], 294; 95% confidence interval [CI], 58 to 2,552; P < 0.001), gentamicin nonsusceptibility (OR, 24; 95% CI, 8.39 to 79.38; P < 0.001), amikacin susceptibility (OR, 11.0; 95% CI, 3.21 to 42.42; P < 0.001), tigecycline nonsusceptibility (OR, 5.34; 95% CI, 1.30 to 36.41; P = 0.018), a shorter length of stay (OR, 0.98; 95% CI, 0.95 to 1.00; P = 0.043), and admission from a skilled-nursing facility (OR, 3.09; 95% CI, 1.26 to 8.08; P = 0.013). Our analysis shows that (i) CR K. pneumoniae is seen primarily in the elderly long-term care population and that (ii) regional monitoring of CR K. pneumoniae reveals insights into molecular characteristics. This work highlights the crucial role of ongoing surveillance of carbapenem resistance determinants.

  4. Identifying a Network of Brain Regions Involved in Aversion-Related Processing: A Cross-Species Translational Investigation

    PubMed Central

    Hayes, Dave J.; Northoff, Georg

    2011-01-01

    The ability to detect and respond appropriately to aversive stimuli is essential for all organisms, from fruit flies to humans. This suggests the existence of a core neural network which mediates aversion-related processing. Human imaging studies on aversion have highlighted the involvement of various cortical regions, such as the prefrontal cortex, while animal studies have focused largely on subcortical regions like the periaqueductal gray and hypothalamus. However, whether and how these regions form a core neural network of aversion remains unclear. To help determine this, a translational cross-species investigation in humans (i.e., meta-analysis) and other animals (i.e., systematic review of functional neuroanatomy) was performed. Our results highlighted the recruitment of the anterior cingulate cortex, the anterior insula, and the amygdala as well as other subcortical (e.g., thalamus, midbrain) and cortical (e.g., orbitofrontal) regions in both animals and humans. Importantly, involvement of these regions remained independent of sensory modality. This study provides evidence for a core neural network mediating aversion in both animals and humans. This not only contributes to our understanding of the trans-species neural correlates of aversion but may also carry important implications for psychiatric disorders where abnormal aversive behavior can often be observed. PMID:22102836

  5. Investigating the Potential Impacts of Energy Production in the Marcellus Shale Region Using the Shale Network Database

    NASA Astrophysics Data System (ADS)

    Brantley, S.; Pollak, J.

    2016-12-01

    The Shale Network's extensive database of water quality observations in the Marcellus Shale region enables educational experiences about the potential impacts of resource extraction and energy production with real data. Through tools that are open source and free to use, interested parties can access and analyze the very same data that the Shale Network team has used in peer-reviewed publications about the potential impacts of hydraulic fracturing on water. The development of the Shale Network database has been made possible through efforts led by an academic team and involving numerous individuals from government agencies, citizen science organizations, and private industry. With these tools and data, the Shale Network team has engaged high school students, university undergraduate and graduate students, as well as citizens so that all can discover how energy production impacts the Marcellus Shale region, which includes Pennsylvania and other nearby states. This presentation will describe these data tools, how the Shale Network has used them in educational settings, and the resources available to learn more.

  6. Spatiotemporal Filtering Using Principal Component Analysis and Karhunen-Loeve Expansion Approaches for Regional GPS Network Analysis

    NASA Technical Reports Server (NTRS)

    Dong, D.; Fang, P.; Bock, F.; Webb, F.; Prawirondirdjo, L.; Kedar, S.; Jamason, P.

    2006-01-01

    Spatial filtering is an effective way to improve the precision of coordinate time series for regional GPS networks by reducing so-called common mode errors, thereby providing better resolution for detecting weak or transient deformation signals. The commonly used approach to regional filtering assumes that the common mode error is spatially uniform, which is a good approximation for networks of hundreds of kilometers extent, but breaks down as the spatial extent increases. A more rigorous approach should remove the assumption of spatially uniform distribution and let the data themselves reveal the spatial distribution of the common mode error. The principal component analysis (PCA) and the Karhunen-Loeve expansion (KLE) both decompose network time series into a set of temporally varying modes and their spatial responses. Therefore they provide a mathematical framework to perform spatiotemporal filtering.We apply the combination of PCA and KLE to daily station coordinate time series of the Southern California Integrated GPS Network (SCIGN) for the period 2000 to 2004. We demonstrate that spatially and temporally correlated common mode errors are the dominant error source in daily GPS solutions. The spatial characteristics of the common mode errors are close to uniform for all east, north, and vertical components, which implies a very long wavelength source for the common mode errors, compared to the spatial extent of the GPS network in southern California. Furthermore, the common mode errors exhibit temporally nonrandom patterns.

  7. Photospheric models of solar active regions and the network based on the Mg II h and k line wings

    NASA Technical Reports Server (NTRS)

    Morrison, N. D.; Linsky, J. L.

    1978-01-01

    From a comparison between observed and computed wings of the Mg II resonance lines, distributions of temperature versus mass column density for solar photospheric layers in plages and in the chromospheric network are derived. The theoretical profiles are computed assuming partial coherent scattering. In the active regions, temperatures exceed those in the quiet sun by up to 200 K near the temperature minimum and up to 400 K in deeper layers. In the observed network structure, the temperature is enhanced by 200 K at the temperature minimum but is the same as that in the quiet sun at greater depths. The difference in the slope of the temperature distribution between the network and plages is real, but may refer only to long elements of the network rather than to the brightest portions. Adjacent to the network is a region in which the temperatures are similar to those in the quiet sun, except immediately below the temperature minimum, where the temperatures are depressed by 150 K.

  8. The Continuously Operating Caribbean Observational Network (COCONet): Supporting Regional Development of Geoscience Research Across the Circum-Caribbean

    NASA Astrophysics Data System (ADS)

    Braun, J.; Miller, M. M.; Mattioli, G. S.; Wang, G.; Feaux, K.; Rowan, L.; La Femina, P. C.

    2014-12-01

    The Continuously Operating Caribbean Observational Network (COCONet) is a National Science Foundation (NSF) funded infrastructure project that stretches across the circum-Caribbean to include Central America and the northern portions of South America. Its objective is to develop a large-scale network of geodetic and atmospheric infrastructure to support a broad range of geoscience and atmospheric investigations and enable research on process-oriented science with direct relevance to geo-hazards. The network includes over 60 new and refurbished continuously operating Global Positioning System (GPS) and surface meterology stations. It will also include data from at least 60 existing stations that are being operated by one of our more than 40 regional partners. As COCONet approaches the completion of its build-out phase, it is appropriate to evaluate the activities associated with the project that facilitate capacity building. These activities include three workshops to solicit feedback from regional partners regarding science objectives, station location, and long-term network operation. COCONet graduate research fellowships have been used to support nine students, with seven from countries within the COCONet footprint. The establishment of three regional data and archive centers to foster access to data and promote free and open data standards. Lastly, two Pan American Advanced Studies Institute (PASI) workshops on topics that are central to the main goals of COCONet were also organized to engage early career scientists who are interested in working on topics that are directly relevant to the region. Perhaps the most significant effort on expanding capacity in the region is the recent deployment of a station in Camaguey, Cuba with full support from both the U.S. and Cuban governments. This presentation summarizes the activities of the COCONet project to enhance and support both the human resource development and technical capabilities within the region.

  9. A Node Localization Algorithm Based on Multi-Granularity Regional Division and the Lagrange Multiplier Method in Wireless Sensor Networks.

    PubMed

    Shang, Fengjun; Jiang, Yi; Xiong, Anping; Su, Wen; He, Li

    2016-11-18

    With the integrated development of the Internet, wireless sensor technology, cloud computing, and mobile Internet, there has been a lot of attention given to research about and applications of the Internet of Things. A Wireless Sensor Network (WSN) is one of the important information technologies in the Internet of Things; it integrates multi-technology to detect and gather information in a network environment by mutual cooperation, using a variety of methods to process and analyze data, implement awareness, and perform tests. This paper mainly researches the localization algorithm of sensor nodes in a wireless sensor network. Firstly, a multi-granularity region partition is proposed to divide the location region. In the range-based method, the RSSI (Received Signal Strength indicator, RSSI) is used to estimate distance. The optimal RSSI value is computed by the Gaussian fitting method. Furthermore, a Voronoi diagram is characterized by the use of dividing region. Rach anchor node is regarded as the center of each region; the whole position region is divided into several regions and the sub-region of neighboring nodes is combined into triangles while the unknown node is locked in the ultimate area. Secondly, the multi-granularity regional division and Lagrange multiplier method are used to calculate the final coordinates. Because nodes are influenced by many factors in the practical application, two kinds of positioning methods are designed. When the unknown node is inside positioning unit, we use the method of vector similarity. Moreover, we use the centroid algorithm to calculate the ultimate coordinates of unknown node. When the unknown node is outside positioning unit, we establish a Lagrange equation containing the constraint condition to calculate the first coordinates. Furthermore, we use the Taylor expansion formula to correct the coordinates of the unknown node. In addition, this localization method has been validated by establishing the real environment.

  10. A Node Localization Algorithm Based on Multi-Granularity Regional Division and the Lagrange Multiplier Method in Wireless Sensor Networks

    PubMed Central

    Shang, Fengjun; Jiang, Yi; Xiong, Anping; Su, Wen; He, Li

    2016-01-01

    With the integrated development of the Internet, wireless sensor technology, cloud computing, and mobile Internet, there has been a lot of attention given to research about and applications of the Internet of Things. A Wireless Sensor Network (WSN) is one of the important information technologies in the Internet of Things; it integrates multi-technology to detect and gather information in a network environment by mutual cooperation, using a variety of methods to process and analyze data, implement awareness, and perform tests. This paper mainly researches the localization algorithm of sensor nodes in a wireless sensor network. Firstly, a multi-granularity region partition is proposed to divide the location region. In the range-based method, the RSSI (Received Signal Strength indicator, RSSI) is used to estimate distance. The optimal RSSI value is computed by the Gaussian fitting method. Furthermore, a Voronoi diagram is characterized by the use of dividing region. Rach anchor node is regarded as the center of each region; the whole position region is divided into several regions and the sub-region of neighboring nodes is combined into triangles while the unknown node is locked in the ultimate area. Secondly, the multi-granularity regional division and Lagrange multiplier method are used to calculate the final coordinates. Because nodes are influenced by many factors in the practical application, two kinds of positioning methods are designed. When the unknown node is inside positioning unit, we use the method of vector similarity. Moreover, we use the centroid algorithm to calculate the ultimate coordinates of unknown node. When the unknown node is outside positioning unit, we establish a Lagrange equation containing the constraint condition to calculate the first coordinates. Furthermore, we use the Taylor expansion formula to correct the coordinates of the unknown node. In addition, this localization method has been validated by establishing the real environment

  11. Healthcare financing, decentralization and regional health planning: federal transfers and the healthcare networks in Minas Gerais, Brazil.

    PubMed

    Moreira, Laura Monteiro de Castro; Ferré, Felipe; Andrade, Eli Iola Gurgel

    2017-04-01

    The Decrees 4279/10 and 7508/11 established norms to guide health politics, with impacts on funding of the Middle and High Complexity Hospital and Outpatient. To verify the effects on the consolidation of care networks in Minas Gerais, we performed an analytical-descriptive study of the National Health Fund from 2006 to 2014. We observed decentralization of responsibilities, accompanied of resources and innovative financing mechanisms, resulting expansion of the network care model. The federal government definitions suggest reduction of the autonomy and limitation of regional solutions.

  12. HIN3/396: Experience of Creation of the National (Regional) Telematics Medical Corporate Network in Ukraine

    PubMed Central

    Mayorov, O; Ponomarenko, V; Kalnish, V

    1999-01-01

    Introduction Ukraine has an extensive experience on creating and maintaining National Medical Networks. A variety of examples include: The National Register of the persons suffered from the Chernobyl disaster: Net of the Sanitary and Epidemiological Service of the Ministry of Health. The National Medical Network for monitoring oncology patients: this links Regional Oncology Dispensaries with Institute of Oncology. Ukraine has a membership to "EuroTransplant" and National Medical Network in this effort has linked Regional Centres with the National Informational Centre on Transplantation. Regional databases from Regional Venereologic Dispensaries, used for monitoring diseases, have been extended to include cases of AIDS. The Telemedical Cardiology Centre in Kharkiv, with trans-telephone ECG. All equipment, including portable ECG amplifiers and modems, is developed in the Ukraine. Teleconsulting Medical Centres, in Kiev, for the analysis of MRI images. The centre "Patholog", in which oncologists - cytologists carry out work. The Ukrainian Association of Computer Medicine (UACM) has created (http: //www.uacm.cit-a.net) WWW- server , which has become a nucleus of the Corporate medical network permitting to exchange the information to 78 institutional members and over 900 individual members. The UACM has created affiliate Web - EHTO-UKRAINE server on national language (http://www.ehto-ukr.cit-ua.net). Ukraine took part in the "Telemedecine Medical Care Networks within the Baltic Region" programme. Also, Ukraine started the Ukrainian- American project on the monitoring of birth defects. Methods The National Telematics Medical Corporate Network 'UkrMedNet' is under construction on the basis of existing the HealthNet and some other autonomous medical networks, with the newest of telecommunication technologies, used in Internet. This project also envisages the integration of all existing separate medical nets, universities and R&D institutes into one 'UkrMedNet', as well as

  13. Grid-Search Location Methods for Ground-Truth Collection From Local and Regional Seismic Networks

    SciTech Connect

    William Rodi; Craig A. Schultz; Gardar Johannesson; Stephen C. Myers

    2005-05-13

    This project investigated new techniques for improving seismic event locations derived from regional and local networks. The technqiues include a new approach to empirical travel-time calibration that simultaneously fits data from multiple stations and events, using a generalization of the kriging method, and predicts travel-time corrections for arbitrary event-station paths. We combined this calibration approach with grid-search event location to produce a prototype new multiple-event location method that allows the use of spatially well-distributed events and takes into account correlations between the travel-time corrections from proximate event-station paths. Preliminary tests with a high quality data set from Nevada Test Site explosions indicated that our new calibration/location method offers improvement over the conventional multiple-event location methods now in common use, and is applicable to more general event-station geometries than the conventional methods. The tests were limited, however, and further research is needed to fully evaluate, and improve, the approach. Our project also demonstrated the importance of using a realistic model for observational errors in an event location procedure. We took the initial steps in developing a new error model based on mixture-of-Gaussians probability distributions, which possess the properties necessary to characterize the complex arrival time error processes that can occur when picking low signal-to-noise arrivals. We investigated various inference methods for fitting these distributions to observed travel-time residuals, including a Markov Chain Monte Carlo technique for computing Bayesian estimates of the distribution parameters.

  14. Vertical and latitudinal wave forcing observed with network of Radars over Indian region

    NASA Astrophysics Data System (ADS)

    Sunkara, Eswaraiah; Gurubaran, Subramanian; Sundararaman, Sathishkumar; Venkat Ratnam, Madineni; Karanam, Kishore Kumar; Vijaya Bhaskara Rao, Sarangam; Eethamakula, Kosalendra

    It is well known that gravity waves and tides play an important role in delineating the middle atmospheric structure and dynamics. Significant advancement has been in recent days in understanding the role of gravity waves and tides using different techniques in the lower, middle and upper atmosphere. However, only few results are available with simultaneous observations of all the three regions mentioned above. Further, no effort has been made so far in dealing with the latitudinal forcing of these waves and tides. With the establishment of advanced meteor radar at Sri Venkateswara University, Tirupati (13.63N, 79.4E) and up gradation of MF radar at Kolhapur (16.8N, 74.2E) together with existing MST radar at Gadanki (13.5N, 79.2E), Meteor radar at Thumba (8.5N, 77E) and MF radar located at Tirunalveli (8.7N, 77.8E) forms a unique network to address lower atmospheric forcing and its impact on middle and upper atmospheric structure and dynamics. All the above mentioned radars have been operated for few days simultaneously for investigating the short period gravity waves and tides (diurnal, semi-diurnal and ter-diurnal). Using simultaneous MST radar, Rayleigh lidar located at Gadanki and SVU meteor radar, lower atmospheric forcing and its impact of upper atmospheric is investigated. First results on short period gravity waves and tides are presented. Large day-to-day day variability in gravity waves and tides is observed within a station and among the stations providing insight on vertical and lateral coupling. Thus, long-term measurements with all the above mentioned instruments is planned to address effectively the vertical and latitudinal wave forcing.

  15. Oncological outcomes of metastatic testicular cancers under centralized management through regional medical network.

    PubMed

    Inai, Hiromu; Kawai, Koji; Kojima, Takahiro; Joraku, Akira; Shimazui, Toru; Yamauchi, Atsushi; Miyagawa, Tomoaki; Endo, Tsuyoshi; Fukuhara, Yoshiharu; Miyazaki, Jun; Uchida, Katsunori; Nishiyama, Hiroyuki

    2013-12-01

    To investigate the dose intensity of induction chemotherapy and oncological outcomes of metastatic testicular cancer under centralized management through a regional medical network. We retrospectively analyzed the outcomes of 86 metastatic testicular cancer patients who were given induction chemotherapy at Tsukuba University Hospital and four branch hospitals between January 2000 and November 2010. Principally, management of patients with poor-prognosis disease and patients having risk factors for bleomycin, etoposide and cisplatin were referred to Tsukuba University Hospital before chemotherapy. For high-risk groups, etoposide and cisplatin or etoposide, ifosfamide and cisplatin was used as an alternative to bleomycin, etoposide and cisplatin. Overall, 56 and 30 patients were treated at Tsukuba University Hospital and branch hospitals, respectively. Forty-seven, 18 and 21 patients were classified with good-, intermediate- and poor-prognosis disease, respectively, according to the International Germ Cell Cancer Collaborative Group criteria. Eighteen of the 21 patients (86%) with poor-prognosis disease were treated at Tsukuba University Hospital from the beginning of induction chemotherapy. Induction chemotherapy with a high relative dose intensity was possible in most patients. The average relative dose intensity of each drug was >0.96. Treatment procedures other than induction chemotherapy were efficiently centralized; 74% of post-chemotherapy surgery and all second-line or subsequent chemotherapies were performed at Tsukuba University Hospital. The 5-year overall survival rates of the good-, intermediate- and poor-prognosis groups were 97, 93 and 84%, respectively. Induction chemotherapy with high relative dose intensity, post-chemotherapy surgery and salvage chemotherapy was accomplished efficiently through centralization of management. Oncological outcomes were excellent, especially in patients with poor-prognosis disease, whose 5-year OS reached 84%.

  16. Monitoring regional patterns of canopy-scale phenology with a network of digitial webcams

    NASA Astrophysics Data System (ADS)

    Richardson, A. D.; Braswell, B. H.; Hollinger, D. Y.; Jenkins, J. P.

    2007-12-01

    webcams offer an inexpensive means by which phenological changes in canopy state could be quantified using instrument-based "near" remote sensing. We describe a recently-established camera network (13 sites in the northeastern US and Canada, of which 5 sites are instrumented for eddy flux measurements) which will provide a regional perspective on both spatial and temporal variation in patterns of canopy phenology.

  17. Facilitating Phenological Assessments at Local, Regional and National Scales: Year Two Progress of the USA National Phenology Network

    NASA Astrophysics Data System (ADS)

    Weltzin, J. F.

    2009-12-01

    Patterns of phenology for plants and animals control ecosystem processes, determine land surface properties, control biosphere-atmosphere interactions, and affect food production, health, conservation, and recreation. Although directional climate change has already caused documented shifts in organismal, population, community and ecosystem-level patterns and processes, a national phenological assessment requires a comprehensive suite of standardized methodologies to track phenology across a range of spatial and temporal scales (e.g., organismal to landscapes). The USA National Phenology Network (USA-NPN; www.usanpn.org) is an emerging and exciting partnership between federal agencies, the academic community, and the general public to establish a national science and monitoring initiative focused on phenology as a tool to understand how plants, animals and landscapes respond to climate variation, and as a tool to facilitate human adaptation to ongoing and potential future climate change. USA-NPN will (1) integrate with other formal and informal science observation networks (e.g., NEON, LTER, Ameriflux, NPS I & M, OBFS, GEO, public gardens, conservation groups) including regional phenology networks; (2) utilize and enhance remote sensing products, emerging technologies and data management capabilities; and (3) capitalize on myriad educational opportunities and a new readiness of the public to participate in investigations of nature on a national scale. In its second year of operation, USA-NPN produced many new phenology products and venues for phenology research and citizen involvement that will facilitate local, regional or national assessments of phenology. A new web-page contains an advanced on-line user interface to facilitate entry of contemporary data into the National Phenology Database. The new plant phenology monitoring program provides standardized methodologies and monitoring protocols for 215 local, regional, and nationally distributed plant species

  18. Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain.

    PubMed

    Liang, Xia; Zou, Qihong; He, Yong; Yang, Yihong

    2013-01-29

    Human brain functional networks contain a few densely connected hubs that play a vital role in transferring information across regions during resting and task states. However, the relationship of these functional hubs to measures of brain physiology, such as regional cerebral blood flow (rCBF), remains incompletely understood. Here, we used functional MRI data of blood-oxygenation-level-dependent and arterial-spin-labeling perfusion contrasts to investigate the relationship between functional connectivity strength (FCS) and rCBF during resting and an N-back working-memory task. During resting state, functional brain hubs with higher FCS were identified, primarily in the default-mode, insula, and visual regions. The FCS showed a striking spatial correlation with rCBF, and the correlation was stronger in the default-mode network (DMN; including medial frontal-parietal cortices) and executive control network (ECN; including lateral frontal-parietal cortices) compared with visual and sensorimotor networks. Moreover, the relationship was connection-distance dependent; i.e., rCBF correlated stronger with long-range hubs than short-range ones. It is notable that several DMN and ECN regions exhibited higher rCBF per unit connectivity strength (rCBF/FCS ratio); whereas, this index was lower in posterior visual areas. During the working-memory experiment, both FCS-rCBF coupling and rCBF/FCS ratio were modulated by task load in the ECN and/or DMN regions. Finally, task-induced changes of FCS and rCBF in the lateral-parietal lobe positively correlated with behavioral performance. Together, our results indicate a tight coupling between blood supply and brain functional topology during rest and its modulation in response to task demands, which may shed light on the physiological basis of human brain functional connectome.

  19. Networks.

    ERIC Educational Resources Information Center

    Maughan, George R.; Petitto, Karen R.; McLaughlin, Don

    2001-01-01

    Describes the connectivity features and options of modern campus communication and information system networks, including signal transmission (wire-based and wireless), signal switching, convergence of networks, and network assessment variables, to enable campus leaders to make sound future-oriented decisions. (EV)

  20. Designing a low-cost effective network for monitoring large scale regional seismicity in a soft-soil region (Alsace, France)

    NASA Astrophysics Data System (ADS)

    Bès de Berc, M.; Doubre, C.; Wodling, H.; Jund, H.; Hernandez, A.; Blumentritt, H.

    2015-12-01

    The Seismological Observatory of the North-East of France (ObSNEF) is developing its monitoring network within the framework of several projects. Among these project, RESIF (Réseau sismologique et géodésique français) allows the instrumentation of broad-band seismic stations, separated by 50-100 km. With the recent and future development of geothermal industrial projects in the Alsace region, the ObSNEF is responsible for designing, building and operating a dense regional seismic network in order to detect and localize earthquakes with both a completeness magnitude of 1.5 and no clipping for M6.0. The realization of the project has to be done prior to the summer 2016Several complex technical and financial constraints constitute such a projet. First, most of the Alsace Région (150x150 km2), particularly the whole Upper Rhine Graben, is a soft-soil plain where seismic signals are dominated by a high frequency noise level. Second, all the signals have to be transmitted in near real-time. And finally, the total cost of the project must not exceed $450,000.Regarding the noise level in Alsace, in order to make a reduction of 40 dB for frequencies above 1Hz, we program to instrument into 50m deep well with post-hole sensor for 5 stations out of 8 plane new stations. The 3 remaining would be located on bedrock along the Vosges piedmont. In order to be sensitive to low-magnitude regional events, we plan to install a low-noise short-period post-hole velocimeter. In order to avoid saturation for high potentiel local events (M6.0 at 10km), this velocimeter will be coupled with a surface strong-motion sensor. Regarding the connectivity, these stations will have no wired network, which reduces linking costs and delays. We will therefore use solar panels and a 3G/GPRS network. The infrastructure will be minimal and reduced to an outdoor box on a secured parcel of land. In addition to the data-logger, we will use a 12V ruggedized computer, hosting a seed-link server for near

  1. The Regional Resource Center (RRC) Network Accountability Report Executive Summary: The First RRC Network Performance Measurement Look

    ERIC Educational Resources Information Center

    Federal Resource Center for Special Education, 2005

    2005-01-01

    The Regional Resource Center (RRC) program mission is to strengthen the capacity of state systems of education and early intervention to improve results for infants, toddlers, children and youth with disabilities and their families. It is one of the longest and most successful technical assistance projects of the Office of Special Education…

  2. Joint optimization of logistics infrastructure investments and subsidies in a regional logistics network with CO2 emission reduction targets

    DOE PAGES

    Zhang, Dezhi; Zhan, Qingwen; Chen, Yuche; ...

    2016-03-14

    This study proposes an optimization model that simultaneously incorporates the selection of logistics infrastructure investments and subsidies for green transport modes to achieve specific CO2 emission targets in a regional logistics network. The proposed model is formulated as a bi-level formulation, in which the upper level determines the optimal selection of logistics infrastructure investments and subsidies for green transport modes such that the benefit-cost ratio of the entire logistics system is maximized. The lower level describes the selected service routes of logistics users. A genetic and Frank-Wolfe hybrid algorithm is introduced to solve the proposed model. The proposed model ismore » applied to the regional logistics network of Changsha City, China. Findings show that using the joint scheme of the selection of logistics infrastructure investments and green subsidies is more effective than using them solely. In conclusion, carbon emission reduction targets can significantly affect logistics infrastructure investments and subsidy levels.« less

  3. Regional co-location pattern scoping on a street network considering distance decay effects of spatial interaction

    PubMed Central

    Yu, Wenhao

    2017-01-01

    Regional co-location scoping intends to identify local regions where spatial features of interest are frequently located together. Most of the previous researches in this domain are conducted on a global scale and they assume that spatial objects are embedded in a 2-D space, but the movement in urban space is actually constrained by the street network. In this paper we refine the scope of co-location patterns to 1-D paths consisting of nodes and segments. Furthermore, since the relations between spatial events are usually inversely proportional to their separation distance, the proposed method introduces the “Distance Decay Effects” to improve the result. Specifically, our approach first subdivides the street edges into continuous small linear segments. Then a value representing the local distribution intensity of events is estimated for each linear segment using the distance-decay function. Each kind of geographic feature can lead to a tessellated network with density attribute, and the generated multiple networks for the pattern of interest will be finally combined into a composite network by calculating the co-location prevalence measure values, which are based on the density variation between different features. Our experiments verify that the proposed approach is effective in urban analysis. PMID:28763496

  4. Network collaboration of organisations for homeless individuals in the Montreal region

    PubMed Central

    Fleury, Marie-Josée; Grenier, Guy; Lesage, Alain; Ma, Nan; Ngui, André Ngamini

    2014-01-01

    Introduction We know little about the intensity and determinants of interorganisational collaboration within the homeless network. This study describes the characteristics and relationships (along with the variables predicting their degree of interorganisational collaboration) of 68 organisations of such a network in Montreal (Quebec, Canada). Theory and methods Data were collected primarily through a self-administered questionnaire. Descriptive analyses were conducted followed by social network and multivariate analyses. Results The Montreal homeless network has a high density (50.5%) and a decentralised structure and maintains a mostly informal collaboration with the public and cross-sectorial sectors. The network density showed more frequent contacts among four types of organisations which could point to the existence of cliques. Four variables predicted interorganisational collaboration: organisation type, number of services offered, volume of referrals and satisfaction with the relationships with public organisations. Conclusions and discussion The Montreal homeless network seems adequate to address non-complex homelessness problems. Considering, however, that most homeless individuals present chronic and complex profiles, it appears necessary to have a more formal and better integrated network of homeless organisations, particularly in the health and social service sectors, in order to improve services. PMID:24520216

  5. Intra-regional assortative sociality may be better explained by social network dynamics rather than pathogen risk avoidance.

    PubMed

    Vigil, Jacob M; Coulombe, Patrick

    2012-04-01

    Fincher & Thornhill's (F&T's) model is not entirely supported by common patterns of affect behaviors among people who live under varying climatic conditions and among people who endorse varying levels of (Western) religiosity and conservative political ideals. The authors' model is also unable to account for intra-regional heterogeneity in assortative sociality, which, we argue, can be better explained by a framework that emphasizes the differential expression of fundamental social cues for maintaining distinct social network structures.

  6. Resting-State Coupling between Core Regions within the Central-Executive and Salience Networks Contributes to Working Memory Performance.

    PubMed

    Fang, Xiaojing; Zhang, Yuanchao; Zhou, Yuan; Cheng, Luqi; Li, Jin; Wang, Yulin; Friston, Karl J; Jiang, Tianzi

    2016-01-01

    Previous studies investigated the distinct roles played by different cognitive regions and suggested that the patterns of connectivity of these regions are associated with working memory (WM). However, the specific causal mechanism through which the neuronal circuits that involve these brain regions contribute to WM is still unclear. Here, in a large sample of healthy young adults, we first identified the core WM regions by linking WM accuracy to resting-state functional connectivity with the bilateral dorsolateral prefrontal cortex (dLPFC; a principal region in the central-executive network, CEN). Then a spectral dynamic causal modeling (spDCM) analysis was performed to quantify the effective connectivity between these regions. Finally, the effective connectivity was correlated with WM accuracy to characterize the relationship between these connections and WM performance. We found that the functional connections between the bilateral dLPFC and the dorsal anterior cingulate cortex (dACC) and between the right dLPFC and the left orbital fronto-insular cortex (FIC) were correlated with WM accuracy. Furthermore, the effective connectivity from the dACC to the bilateral dLPFC and from the right dLPFC to the left FIC could predict individual differences in WM. Because the dACC and FIC are core regions of the salience network (SN), we inferred that the inter- and causal-connectivity between core regions within the CEN and SN is functionally relevant for WM performance. In summary, the current study identified the dLPFC-related resting-state effective connectivity underlying WM and suggests that individual differences in cognitive ability could be characterized by resting-state effective connectivity.

  7. Abnormal regional activity and functional connectivity in resting-state brain networks associated with etiology confirmed unilateral pulsatile tinnitus in the early stage of disease.

    PubMed

    Lv, Han; Zhao, Pengfei; Liu, Zhaohui; Li, Rui; Zhang, Ling; Wang, Peng; Yan, Fei; Liu, Liheng; Wang, Guopeng; Zeng, Rong; Li, Ting; Dong, Cheng; Gong, Shusheng; Wang, Zhenchang

    2017-03-01

    Abnormal neural activities can be revealed by resting-state functional magnetic resonance imaging (rs-fMRI) using analyses of the regional activity and functional connectivity (FC) of the networks in the brain. This study was designed to demonstrate the functional network alterations in the patients with pulsatile tinnitus (PT). In this study, we recruited 45 patients with unilateral PT in the early stage of disease (less than 48 months of disease duration) and 45 normal controls. We used regional homogeneity (ReHo) and seed-based FC computational methods to reveal resting-state brain activity features associated with pulsatile tinnitus. Compared with healthy controls, PT patients showed regional abnormalities mainly in the left middle occipital gyrus (MOG), posterior cingulate gyrus (PCC), precuneus and right anterior insula (AI). When these regions were defined as seeds, we demonstrated widespread modification of interaction between the auditory and non-auditory networks. The auditory network was positively connected with the cognitive control network (CCN), which may associate with tinnitus related distress. Both altered regional activity and changed FC were found in the visual network. The modification of interactions of higher order networks were mainly found in the DMN, CCN and limbic networks. Functional connectivity between the left MOG and left parahippocampal gyrus could also be an index to reflect the disease duration. This study helped us gain a better understanding of the characteristics of neural network modifications in patients with pulsatile tinnitus.

  8. INTEGRATED ENVIRONMENTAL ASSESSMENT OF THE MID-ATLANTIC REGION WITH ANALYTICAL NETWORK PROCESS

    EPA Science Inventory

    A decision analysis method for integrating environmental indicators was developed. This was a combination of Principal Component Analysis (PCA) and the Analytic Network Process (ANP). Being able to take into account interdependency among variables, the method was capable of ran...

  9. INTEGRATED ENVIRONMENTAL ASSESSMENT OF THE MID-ATLANTIC REGION WITH ANALYTICAL NETWORK PROCESS

    EPA Science Inventory

    A decision analysis method for integrating environmental indicators was developed. This was a combination of Principal Component Analysis (PCA) and the Analytic Network Process (ANP). Being able to take into account interdependency among variables, the method was capable of ran...

  10. Satellite- and Epoch Differenced Precise Point Positioning Based on a Regional Augmentation Network

    PubMed Central

    Li, Haojun; Chen, Junping; Wang, Jiexian; Wu, Bin

    2012-01-01

    Precise Point Positioning (PPP) has been demonstrated as a simple and effective approach for user positioning. The key issue in PPP is how to shorten convergence time and improve positioning efficiency. Recent researches mainly focus on the ambiguity resolution by correcting residual phase errors at a single station. The success of this approach (referred to hereafter as NORM-PPP) is subject to how rapidly one can fix wide-lane and narrow-lane ambiguities to achieve the first ambiguity-fixed solution. The convergence time of NORM-PPP is receiver type dependent, and normally takes 15–20 min. Different from the general algorithm and theory by which the float ambiguities are estimated and the integer ambiguities are fixed, we concentrate on a differential PPP approach: the satellite- and epoch differenced (SDED) approach. In general, the SDED approach eliminates receiver clocks and ambiguity parameters and thus avoids the complicated residual phase modeling procedure. As a further development of the SDED approach, we use a regional augmentation network to derive tropospheric delay and remaining un-modeled errors at user sites. By adding these corrections and applying the Robust estimation, the weak mathematic properties due to the ED operation is much improved. Implementing this new approach, we need only two epochs of data to achieve PPP positioning converging to centimeter-positioning accuracy. Using seven days of GPS data at six CORS stations in Shanghai, we demonstrate the success rate, defined as the case when three directions converging to desired positioning accuracy of 10 cm, reaches 100% when the interval between the two epochs is longer than 15 min. Comparing the results of 15 min' interval to that of 10 min', it is observed that the position RMS improves from 2.47, 3.95, 5.78 cm to 2.21, 3.93, 4.90 cm in the North, East and Up directions, respectively. Combining the SDED coordinates at the starting point and the ED relative coordinates thereafter, we

  11. Satellite- and epoch differenced precise point positioning based on a regional augmentation network.

    PubMed

    Li, Haojun; Chen, Junping; Wang, Jiexian; Wu, Bin

    2012-01-01

    Precise Point Positioning (PPP) has been demonstrated as a simple and effective approach for user positioning. The key issue in PPP is how to shorten convergence time and improve positioning efficiency. Recent researches mainly focus on the ambiguity resolution by correcting residual phase errors at a single station. The success of this approach (referred to hereafter as NORM-PPP) is subject to how rapidly one can fix wide-lane and narrow-lane ambiguities to achieve the first ambiguity-fixed solution. The convergence time of NORM-PPP is receiver type dependent, and normally takes 15-20 min. Different from the general algorithm and theory by which the float ambiguities are estimated and the integer ambiguities are fixed, we concentrate on a differential PPP approach: the satellite- and epoch differenced (SDED) approach. In general, the SDED approach eliminates receiver clocks and ambiguity parameters and thus avoids the complicated residual phase modeling procedure. As a further development of the SDED approach, we use a regional augmentation network to derive tropospheric delay and remaining un-modeled errors at user sites. By adding these corrections and applying the Robust estimation, the weak mathematic properties due to the ED operation is much improved. Implementing this new approach, we need only two epochs of data to achieve PPP positioning converging to centimeter-positioning accuracy. Using seven days of GPS data at six CORS stations in Shanghai, we demonstrate the success rate, defined as the case when three directions converging to desired positioning accuracy of 10 cm, reaches 100% when the interval between the two epochs is longer than 15 min. Comparing the results of 15 min' interval to that of 10 min', it is observed that the position RMS improves from 2.47, 3.95, 5.78 cm to 2.21, 3.93, 4.90 cm in the North, East and Up directions, respectively. Combining the SDED coordinates at the starting point and the ED relative coordinates thereafter, we

  12. A Matched Field Processing Framework for Coherent Detection Over Local and Regional Networks

    DTIC Science & Technology

    2011-06-01

    Northern Finland Seismological Network, FN) and to the University of Helsinki for data from the VRF and HEF stations (part of the Finnish seismograph...narrowband signal representation that exposes invariant spatial and temporal correlation structure of network signals from repeating sources...subsequent similar signal is detected, a new covariance matrix is formed where the contributions from the waveforms of the existing members of the event

  13. Building Capacity for Earthquake Monitoring: Linking Regional Networks with the Global Community

    NASA Astrophysics Data System (ADS)

    Willemann, R. J.; Lerner-Lam, A.

    2006-12-01

    Installing or upgrading a seismic monitoring network is often among the mitigation efforts after earthquake disasters, and this is happening in response to the events both in Sumatra during December 2004 and in Pakistan during October 2005. These networks can yield improved hazard assessment, more resilient buildings where they are most needed, and emergency relief directed more quickly to the worst hit areas after the next large earthquake. Several commercial organizations are well prepared for the fleeting opportunity to provide the instruments that comprise a seismic network, including sensors, data loggers, telemetry stations, and the computers and software required for the network center. But seismic monitoring requires more than hardware and software, no matter how advanced. A well-trained staff is required to select appropriate and mutually compatible components, install and maintain telemetered stations, manage and archive data, and perform the analyses that actually yield the intended benefits. Monitoring is more effective when network operators cooperate with a larger community through free and open exchange of data, sharing information about working practices, and international collaboration in research. As an academic consortium, a facility operator and a founding member of the International Federation of Digital Seismographic Networks, IRIS has access to a broad range of expertise with the skills that are required to help design, install, and operate a seismic network and earthquake analysis center, and stimulate the core training for the professional teams required to establish and maintain these facilities. But delivering expertise quickly when and where it is unexpectedly in demand requires advance planning and coordination in order to respond to the needs of organizations that are building a seismic network, either with tight time constraints imposed by the budget cycles of aid agencies following a disastrous earthquake, or as part of more informed

  14. Decision Support Process for CO2 Monitoring Network Design, as applied to the North American Permafrost Region

    NASA Astrophysics Data System (ADS)

    Creelman, C. A.; Risk, D. A.; Nickerson, N. R.; Simpson, K.; Bourlon, E.

    2009-12-01

    The Northern regions of Canada and the United States hold vast reserves of soil organic matter (carbon), once protected from decomposition because of cool wet soils, and/or permafrost. Unfortunately, these Northern areas are changing rapidly because the rate of climate warming in the North has significantly outstripped the global average. As a result of permafrost melting and soil processes stimulated by higher temperatures, soil CO2 emissions in these high latitude areas are expected to accelerate. On an annual basis, it is conceivable that these natural Northern CO2 emissions could match or begin to exceed human industrial emissions. From a risk management perspective, the Northern region represents an important climate risk of international interest that should be monitored in a systematic long-term effort. Currently, there is almost no high latitude monitoring done due to limitation of instrumental techniques, remoteness, and other factors. While technology improvements will make this monitoring physically possible, it is critical that the conceptual framework for monitoring also be planned carefully. The monitoring network will need to make efficient use of funding to target high-risk areas, balance many possible emission predictions that vary spatially and temporally, allow for incremental network growth and take into account transportation costs and accessibility. To address these needs, we use a Simulated Annealing based algorithm that determines optimal sampling densities and distributions according to various risk factors. This network optimization makes use of several different potential CO2 emission estimates generated using the Canadian Regional Climate model forecasts and other spatial datasets. These estimates represent a wide range of potential evolutions of soil emissions based on factors such as expected climate change, the distribution of carbon storage, and carbon sensitivity to temperature and moisture changes. The calculated optimal network

  15. Wavelet neural networks using particle swarm optimization training in modeling regional ionospheric total electron content

    NASA Astrophysics Data System (ADS)

    Ghaffari Razin, Mir Reza; Voosoghi, Behzad

    2016-11-01

    Wavelet neural networks (WNNs) are a new class of neural networks (NNs) that has been developed using a combined method of multi-layer artificial neural networks and wavelet analysis (WA). In this paper, WNNs is used for modeling and prediction of total electron content (TEC) of ionosphere with high spatial and temporal resolution. Generally, back-propagation (BP) algorithm is used to train the neural network. While this algorithm proves to be very effective and robust in training many types of network structures, it suffers from certain disadvantages such as easy entrapment in a local minimum and slow convergence. To improve the performance of WNN in training step, the adjustment of network weights using particle swarm optimization (PSO) was proposed. The results obtained in this paper were compared with standard NN (SNN) by BP training algorithm (SNN-BP), SNN by PSO training algorithm (SNN-PSO) and WNN by BP training algorithm (WNN-BP). For numerical experiments, observations collected at 36 GPS stations in 5 days of 2012 from Iranian permanent GPS network (IPGN) are used. The average minimum relative errors in 5 test stations for WNN-PSO, WNN-BP, SNN-BP and SNN-PSO compared with GPS TEC are 10.59%, 12.85%, 13.18%, 13.75% and average maximum relative errors are 14.70%, 17.30%, 18.53% and 20.83%, respectively. Comparison of diurnal predicted TEC values from the WNN-PSO, SNN-BP, SNN-PSO and WNN-BP models with GPS TEC revealed that the WNN-PSO provides more accurate predictions than the other methods in the test area.

  16. Impact of baseline geometry in processing of regional networks on resulting coordinates and ZTD time series

    NASA Astrophysics Data System (ADS)

    Stepniak, Katarzyna; Bock, Olivier; Wielgosz, Pawel

    2017-04-01

    The goal of this work is to determine the most accurate and homogeneous processing strategy to reprocess ground-based GNSS data from national networks for precise positioning and climate monitoring applications. We investigate the influence of the network geometry design strategy on the estimated coordinates of permanent stations and Zenith Total Delay (ZTD) time series. Three variants of processing were carried out and analyzed: 1) pre-defined network which usually contains baseline skeletons of reference stations and baselines to secondary stations forming a star-like structures with the main nodes connected to the reference skeleton; 2) the standard "obs-max" strategy available in Bernese GNSS Software; 3) a newly developed baselines design strategy optimized for ZTD estimation. The study shows that the network design has a strong impact especially on the quality and continuity of ZTD estimates. In case of sub-daily gaps in the measurements at reference stations, small clusters of stations can be disconnected from the main network in the first network strategy. This has little impact on coordinates, but offsets of a few centimeters in ZTD estimates and spikes in their formal errors can appear at all stations of the disconnected cluster. It is also responsible for significant discontinuities in the estimated ZTD series. Using the new developed network design strategy the reprocessed ZTD time series as well as time series of station positions are much more continuous and homogeneous in comparison to the standard approaches. Moreover, a post-processing screening procedure applied for ZTD and coordinates was applied to remove remaining outliers in time series. As a final screening and validation step, GNSS ZTD estimates were compared to ERA-Interim. The agreement between GNSS and ERA-Interim results with the new baseline design strategy and screening show a significant improvement.

  17. [The regional network ADAPTHERA : Rheumatology care through coordinated cooperation: comprehensive, trans-sectoral, covering all health insurance. Initial results].

    PubMed

    Schwarting, A; Pfeiff, B; Amberger, C; Pick, D; Hesse, M; Jendro, M; Engels, J; Böttger, A; Kuhn, C; Majdandzic, J; Ziese, W; Stadelmann, M-L; Kessler, F W; Dinges, H; Ultes-Kaiser, S; Droste, U; Schmalhofer, M; Hazenbiller, A; Rector, M; Weinmann-Menke, J; Triantafyllias, K; Becker, M; Ataian, M; Lablans, M; Ueckert, F; Panholzer, T; Blettner, M

    2016-12-01

    The aim of the rheumatology network ADAPTHERA ("risk-adapted rheumatology therapy") is to achieve a comprehensive improvement in rheumatology care by coordinating treatment in a regional, trans-sectoral network. Accompanying biomedical research projects, training concepts, and the construction of a rheumatology register (gathering data and biomaterials) should furthermore ensure the stable and sustainable optimisation of care. In the pilot phase (2012-2015) the focus of the ADAPTHERA network, required as a "regional key project" within the framework of the Initiative on Health Economy of Rheinland-Palatinate (RL-P), Germany, was placed on the optimisation of the early diagnosis of rheumatoid arthritis, where it is well-known that there is a significant care deficit.Through the intensive, stable, and coordinated cooperation of all health care partners in the field of rheumatology (registered general practitioners and orthopaedic specialists, registered core rheumatologists as well as the Association of Rheumatology of RL-P) a unique regional, comprehensive offer with verifiable care optimisation has been established in RL-P. The network is supported by outstanding collaboration with the Association of Statutory Health Insurance Physicians and the self-help organisation Rheumatology League.The aims that were established at the start of the project will be achieved by the end of the pilot phase:- significant improvement in the early diagnosis of rheumatoid arthritis (an average of 23.7 days until diagnosis by rheumatologists)- access covering all health insurance (regardless of the particular scheme the patients belong to)- comprehensive (verifiable participation of general practitioners from all over RL-P)- data and biomaterials collection, established as a basis for biomarker research, and a rheumatology register for RL-P.

  18. [Regional coordination of paediatric oncological care in northwestern Lower Saxony, Germany--network funded by health insurance companies].

    PubMed

    Müller, H L; Blanke, J-G; Bonse, B; Bosse, H; Erkel, J; Gitmans, R; Kolb, R; Krull, F; Langlitz, J; Liebner, T; Löning, L; Mokross, C; Niekrens, C; Schüler, D; Wessel, V; Wosnitza, A P

    2010-11-01

    The cure rates in pediatric oncology have been substantially improved due to standardized treatment strategies and centralization of therapy. Close clinical and hematological monitoring is mandatory for patients between periods of chemotherapy for early detection and treatment of therapy-related complications such as infections. This results in frequent and time-consuming outpatient examinations for the patient and family at the oncological center in order to evaluate clinical condition and hematological findings. In widespread regions such as the Weser-Ems area in northwest Lower Saxony, Germany, the long distances between patients' home and the oncological center lead to higher risks and impairment of quality of life (QoL) for the patients and their families. Accordingly, in 2001 pediatric hospitals and practices, patient care services and patients' support groups in Weser-Ems founded a network (Verbund PädOnko Weser-Ems). The "Verbund PädOnko" aims at coordinated, high-quality regional outpatient patient treatment in order to reduce risks of long-distance transports to reach the oncological center. Since 2005 a newly established mobile care team realized 1 443 home visits covering a total of 150 300 km. Since 2007 the network has been funded by health insurance organisations. Internal and external benchmarking was performed showing that the rate of short term inpatient treatments were reduced. Treatment quality was assured and the QoL of the patients and their families was improved through the work of the network. The "Verbund PädOnko Weser-Ems" network represents a promising prototype model for the regional coordination of outpatient treatment and care of patients with rare diseases in wide spread areas. © Georg Thieme Verlag KG Stuttgart · New York.

  19. [A network to promote health systems based on primary health care in the Region of the Americas].

    PubMed

    Herrera Vázquez, María Magdalena; Rodríguez Avila, Nuria; Nebot Adell, Carme; Montenegro, Hernán

    2007-05-01

    To identify the relational components of an international network of organizations that provide technical and financial assistance to promote the development of health systems based on primary health care in the countries of the Region of the Americas; to analyze the linkages that would allow the collaborating partners of the Pan American Health Organization (PAHO) to work together on health issues; and to determine the basic theoretical elements that can help to develop action strategies that support advocacy efforts by a network. This was a qualitative and quantitative cross-sectional study based on identifying key informants and on analyzing social networks. Ethnographic and relational information from 46 international organizations was collected through a self-administered semistructured questionnaire. From 46 international health cooperation organizations, 29 decision makers from 29 organizations participated (63.0% response rate). The structure and the strength of the network was evaluated in terms of density, closeness, clustering, and centralization. The statistical analysis was done using computer programs that included UCINET, Pajek, and Microsoft Access. We found a structurally centralized theoretical network, whose nodes were clustered into four central subgroups linked by a shared vision. The leadership, influence, and political interests reflected the formal and technical-cooperation linkages, the formal support for health systems based on primary health care, and the flow of resources being more often technical ones than financial ones. The interorganizational relational components and the social-action ties that were identified could help in the development and consolidation of a thematic network for advocacy and for the management of technical and financial assistance that supports primary health care in the Americas. The linkages for joint action that were identified could advance international cooperation in developing health systems based on

  20. Networking.

    ERIC Educational Resources Information Center

    Duvall, Betty

    Networking is an information giving and receiving system, a support system, and a means whereby women can get ahead in careers--either in new jobs or in current positions. Networking information can create many opportunities: women can talk about how other women handle situations and tasks, and previously established contacts can be used in…

  1. Spatiotemporal Patterns, Monitoring Network Design, and Environmental Justice of Air Pollution in the Phoenix Metropolitan Region: A Landscape Approach

    NASA Astrophysics Data System (ADS)

    Pope, Ronald L.

    Air pollution is a serious problem in most urban areas around the world, which has a number of negative ecological and human health impacts. As a result, it's vitally important to detect and characterize air pollutants to protect the health of the urban environment and our citizens. An important early step in this process is ensuring that the air pollution monitoring network is properly designed to capture the patterns of pollution and that all social demographics in the urban population are represented. An important aspect in characterizing air pollution patterns is scale in space and time which, along with pattern and process relationships, is a key subject in the field of landscape ecology. Thus, using multiple landscape ecological methods, this dissertation research begins by characterizing and quantifying the multi-scalar patterns of ozone (O3) and particulate matter (PM10) in the Phoenix, Arizona, metropolitan region. Results showed that pollution patterns are scale-dependent, O3 is a regionally-scaled pollutant at longer temporal scales, and PM10 is a locally-scaled pollutant with patterns sensitive to season. Next, this dissertation examines the monitoring network within Maricopa County. Using a novel multiscale indicator-based approach, the adequacy of the network was quantified by integrating inputs from various academic and government stakeholders. Furthermore, deficiencies were spatially defined and recommendations were made on how to strengthen the design of the network. A sustainability ranking system also provided new insight into the strengths and weaknesses of the network. Lastly, the study addresses the question of whether distinct social groups were experiencing inequitable exposure to pollutants - a key issue of distributive environmental injustice. A novel interdisciplinary method using multi-scalar ambient pollution data and hierarchical multiple regression models revealed environmental inequities between air pollutants and race, ethnicity

  2. Network mechanisms of gamma oscillations in the CA3 region of the hippocampus.

    PubMed

    Hájos, Norbert; Paulsen, Ole

    2009-10-01

    Neural networks of the brain display multiple patterns of oscillatory activity. Some of these rhythms are generated intrinsically within the local network, and can therefore be studied in isolated preparations. Here we discuss local-circuit mechanisms involved in hippocampal CA3 gamma oscillations, one of the best understood locally generated network patterns in the mammalian brain. Perisomatic inhibitory cells are crucial players in gamma oscillogenesis. They provide prominent rhythmic inhibition to CA3 pyramidal cells and are themselves synchronized primarily by excitatory synaptic inputs derived from the local collaterals of CA3 pyramidal cells. The recruitment of this recurrent excitatory-inhibitory feedback loop during hippocampal gamma oscillations suggests that local gamma oscillations not only control when, but also how many and which pyramidal cells will fire during each gamma cycle.

  3. [Development of a clinical pathway for the attention of patients with amyotrophic lateral sclerosis in a regional network. ALS Assistance Network-Comunidad de Madrid].

    PubMed

    Rodríguez de Rivera, F J; Grande, M; García-Caballero, J; Muñoz-Blanco, J; Mora, J; Esteban, J; Guerrero, A; Matias-Guiu, J; de Andrés-Colsa, R; Buey, C; Díez-Tejedor, E

    2007-01-01

    Amyotrophic lateral sclerosis (ALS) requires complex multidisciplinary attention. Clinical pathways are assistance plans for certain diseases with a predictable course. These plans are established in isolated centers, not in multicenter regions. The aim is to develop a clinical pathway capable of organizing and homogenizing assistance given in ALS Assistance Network-Comunidad de Madrid which is made up of five hospitals, from the beginning until the end of the disease. In successive meetings, neurologists of these hospitals and members of the Madrid Health Service evaluated published therapeutic guidelines and other documents used in ALS assistance. A clinical pathway was developed adapting this information to social-health care conditions in the Comunidad de Madrid following the FOCUS-PDCA model. A clinical pathway was created consisting of a scientist-technical framework which arranges the attention in relationship to the diagnosis and treatment, according to the degree of disease progression and a chronogram. This is accompanied by several patient information documents on the disease and the tests that are required, and a patient assistance evaluation form. The standards are established to reach and to promote 354 constant improvement in patient care. Clinical pathway for the ALS assistance in a regional network organizes the attention and cares that the patients must receive from the beginning to the end of the disease. This arrangement and homogenization of the attention improves the quality of patient care, diminishes variability and rationalizes the use of the health care resources.

  4. A regional monitoring network to investigate the occurrence of agricultural chemicals in near-surface aquifers of the midcontinental USA

    USGS Publications Warehouse

    Kolpin, D.W.; Goolsby, D.A.

    1995-01-01

    Previous state and national surveys conducted in the mid-continental USA have produced a wide range in results regarding the occurrence of agricultural chemicals in groundwater. At least some of these differences can be attributed to inconsistencies between the surveys, such as different analytical reporting limits. The US Geological Survey has designed a sampling network that is geographically and hydrogeologically representative of near-surface aquifers in the corn- and soybean-producing region of the midcontinental USA. More than 800 water quality samples have been collected from the network since 1991. Six of the seven most frequently detected compounds from this study were herbicide metabolites. A direct relation was determined between tritium content to herbicide and nitrate contamination. The unconsolidated aquifers sampled were found to be more susceptible to herbicide and nitrate contamination than the bedrock aquifers. Knowledge of the regional occurrence and distribution of agricultural chemicals acquired through the study of data collected at network sites will assist policy makers and planners with decisions regarding the protection of drinking-water supplies.

  5. [Optimization of conservation network system for inter-basin wetland ecosystem in Huang-Huai-Hai Region].

    PubMed

    Song, Xiao-Long; Li, Xiao-Wen; Zhang, Ming-Xiang; Yang, Dian-Lin; Zhang, Li-Na; Zhang, Gui-Long

    2012-02-01

    By using systematic conservation planning (SCP) method, and taking catchment as planning unit, an optimization of conservation network system for the inter-basin wetland ecosystem in Huang-Huai-Hai Region was conducted, with a comprehensive consideration of 3-dimensional (lateral, longitudinal and vertical) connectivity and Inter-basin Water Transfer Project and by the methods of irreplaceability analysis and gap identification. The efficacy of the optimized conservation network system was evaluated, as compared with the existing conservation network system. According to the principles of irreplaceability and connectivity, the wetland conservation gaps could be divided into two types, i.e. , be conserved in priority and in general. After the optimization, the conservation status of the inter-basin wetland ecosystem in Huang-Huai-Hai Region had an overall improvement. The conserved percentage of the wetland types was from about 20% up to 46.8%, and, for each wetland type, its conserved level increased to some extent, almost above 40%. Both in the near future and in the long term, more attention should be paid to the conservation of lake wetland. In addition, the integration of ecosystem service function and biodiversity and the combination of protection with restoration would be the main task for the wetland ecosystem conservation planning in the future.

  6. The use of neural networks and texture analysis for rapid objective selection of regions of interest in cytoskeletal images.

    PubMed

    Derkacs, Amanda D Felder; Ward, Samuel R; Lieber, Richard L

    2012-02-01

    Understanding cytoskeletal dynamics in living tissue is prerequisite to understanding mechanisms of injury, mechanotransduction, and mechanical signaling. Real-time visualization is now possible using transfection with plasmids that encode fluorescent cytoskeletal proteins. Using this approach with the muscle-specific intermediate filament protein desmin, we found that a green fluorescent protein-desmin chimeric protein was unevenly distributed throughout the muscle fiber, resulting in some image areas that were saturated as well as others that lacked any signal. Our goal was to analyze the muscle fiber cytoskeletal network quantitatively in an unbiased fashion. To objectively select areas of the muscle fiber that are suitable for analysis, we devised a method that provides objective classification of regions of images of striated cytoskeletal structures into "usable" and "unusable" categories. This method consists of a combination of spatial analysis of the image using Fourier methods along with a boosted neural network that "decides" on the quality of the image based on previous training. We trained the neural network using the expert opinion of three scientists familiar with these types of images. We found that this method was over 300 times faster than manual classification and that it permitted objective and accurate classification of image regions.

  7. Rain gauge network evaluation and optimal design using spatial correlation approach in arid and semi-arid regions of Iran

    NASA Astrophysics Data System (ADS)

    Nazaripour, Hamid; Mansouri Daneshvar, Mohammad Reza

    2017-08-01

    The present study is aimed at evaluation of a rain gauge network in order to optimize a network design. In this regard, point rainfall estimations were assessed using a spatial correlation approach in the Kerman region, Iran. This approach was implemented based on monthly rainfall data for existing 117 rain gauge stations in the study area. The results revealed that the regular arrangement of rain gauges could provide the reliable values for accurate rainfall estimation. Low density of rain gauge combined with the low rainfall values may result in strong increase of the interpolation errors. Based on the existing rain gauge network, the relative mean error of observed rainfalls ( E a ) is less than 5 % over the study area. The spatial interpolation errors ( E i ) were considered to optimize the design of rain gauge network at the confidence level of 85 %, where the mean errors were exhibited from 8.5 to 14 % in districts A and B, respectively. On this basis, about 46 locations were proposed for allocation of new stations. Therefore, it was suggested to relocate about 20 existing stations in order to achieve an accurate design.

  8. Using artificial neural networks to invert 2D DC resistivity imaging data for high resistivity contrast regions: A MATLAB application

    NASA Astrophysics Data System (ADS)

    Neyamadpour, Ahmad; Taib, Samsudin; Wan Abdullah, W. A. T.

    2009-11-01

    MATLAB is a high-level matrix/array language with control flow statements and functions. MATLAB has several useful toolboxes to solve complex problems in various fields of science, such as geophysics. In geophysics, the inversion of 2D DC resistivity imaging data is complex due to its non-linearity, especially for high resistivity contrast regions. In this paper, we investigate the applicability of MATLAB to design, train and test a newly developed artificial neural network in inverting 2D DC resistivity imaging data. We used resilient propagation to train the network. The model used to produce synthetic data is a homogeneous medium of 100 Ω m resistivity with an embedded anomalous body of 1000 Ω m. The location of the anomalous body was moved to different positions within the homogeneous model mesh elements. The synthetic data were generated using a finite element forward modeling code by means of the RES2DMOD. The network was trained using 21 datasets and tested on another 16 synthetic datasets, as well as on real field data. In field data acquisition, the cable covers 120 m between the first and the last take-out, with a 3 m x-spacing. Three different electrode spacings were measured, which gave a dataset of 330 data points. The interpreted result shows that the trained network was able to invert 2D electrical resistivity imaging data obtained by a Wenner-Schlumberger configuration rapidly and accurately.

  9. [A survey of Local Physicians and Psychotherapists on Cooperation in Regional Networks for Early Child Interventions in Saxony-Anhalt].

    PubMed

    Clauß, D; Fleischer, S; Mattern, E; Ayerle, G

    2016-07-01

    Early childhood interventions positively contribute to health related child development. For these interventions, networks are a necessary prerequisite as they promote interdisciplinary and interprofessional cooperation. This holds especially true for the integration of health system protagonists. In a cross-sectional survey local paediatrists, gynaecologists, general practitioners, and psychotherapists were asked about their knowledge, experiences, desires, and reservations regarding cooperation in early childhood intervention networks. 64 out of 1747 (3.7%) eligible clinicians answered the survey. On average they estimated that 10.1% of the families they are treating would benefit from early childhood interventions. Participants rated themselves as competent to offer appropriate early childhood interventions. The youth welfare service was judged as the most important institution for their own professional practice by 84.4%. Additionally to an applicable agenda, a fair group moderation of network meetings was seen as a substantial requirement in order to take part in network meetings. Health professionals are important protagonists in early childhood interventions. Clinicians should assess relevant problems in families and offer appropriate support on a regular basis. Alongside clearly defined regional contacts, interprofessional continuing education seems mandatory. © Georg Thieme Verlag KG Stuttgart · New York.

  10. The Changing Cold Regions Network: Atmospheric, Cryospheric, Ecological and Hydrological Change in the Saskatchewan and Mackenzie River Basins, Canada (Invited)

    NASA Astrophysics Data System (ADS)

    Wheater, H. S.; DeBeer, C.

    2013-12-01

    The cold interior of Northwestern Canada has one of the world's most extreme and varied climates and, as with other regions across the Arctic, is experiencing rapid environmental change. The Changing Cold Regions Network (CCRN) is a new Canadian research network devoted to addressing key challenges and globally-important issues facing the Arctic by improving the understanding of past and ongoing changes in climate, land, vegetation, and water, and predicting their future integrated responses, with a geographic focus on the Saskatchewan and Mackenzie River Basins. The network is funded for 5 years (2013-18) by the Natural Sciences and Engineering Research Council of Canada, and combines the unique expertise of 36 Canadian scientists representing 8 universities and 4 Federal government agencies, as well as 15 international researchers from the United States, China, Australia, the UK, France, and Germany. The network will also involve the World Climate Research Programme, NASA, the Canadian Space Agency, and the National Center for Atmospheric Research. CCRN will integrate existing and new experimental data with modelling and remote sensing products to understand, diagnose and predict changing land, water and climate, and their interactions and feedbacks, for Northwestern Canada's cold interior. It will use a network of world class observatories to study the detailed connections among changing climate, ecosystems and water in the permafrost regions of the Sub-arctic, the Boreal Forest, the Western Cordillera, and the Prairies. Specifically, the network will: 1. Document and evaluate observed Earth system change, including hydrological, ecological, cryospheric and atmospheric components over a range of scales from local observatories to biome and regional scales; 2. Improve understanding and diagnosis of local-scale change by developing new and integrative knowledge of Earth system processes, incorporating these processes into a suite of process-based integrative

  11. A Neutral Network based Early Eathquake Warning model in California region

    NASA Astrophysics Data System (ADS)

    Xiao, H.; MacAyeal, D. R.

    2016-12-01

    Early Earthquake Warning systems could reduce loss of lives and other economic impact resulted from natural disaster or man-made calamity. Current systems could be further enhanced by neutral network method. A 3 layer neural network model combined with onsite method was deployed in this paper to improve the recognition time and detection time for large scale earthquakes.The 3 layer neutral network early earthquake warning model adopted the vector feature design for sample events happened within 150 km radius of the epicenters. Dataset used in this paper contained both destructive events and small scale events. All the data was extracted from IRIS database to properly train the model. In the training process, backpropagation algorithm was used to adjust the weight matrices and bias matrices during each iteration. The information in all three channels of the seismometers served as the source in this model. Through designed tests, it was indicated that this model could identify approximately 90 percent of the events' scale correctly. And the early detection could provide informative evidence for public authorities to make further decisions. This indicated that neutral network model could have the potential to strengthen current early warning system, since the onsite method may greatly reduce the responding time and save more lives in such disasters.

  12. Differential Engagement of Brain Regions within a "Core" Network during Scene Construction

    ERIC Educational Resources Information Center

    Summerfield, Jennifer J.; Hassabis, Demis; Maguire, Eleanor A.

    2010-01-01

    Reliving past events and imagining potential future events engages a well-established "core" network of brain areas. How the brain constructs, or reconstructs, these experiences or scenes has been debated extensively in the literature, but remains poorly understood. Here we designed a novel task to investigate this (re)constructive process by…

  13. Bringing a University, a State, and a Region into the Networking Era.

    ERIC Educational Resources Information Center

    Olsen, Florence

    2001-01-01

    Describes technological advances at North Dakota State University under the direction of Bonnie M. Neas, formerly the director of information-technology services and currently the head of Internet research. Campus networks were in their infancy when she began her programs, but now the university is part of a consortium building a high-speed…

  14. On the development and testing of a database-centric pipeline for the analysis of a regional infrasound network

    NASA Astrophysics Data System (ADS)

    Marcillo, O. E.; Blom, P. S.; Euler, G. G.; MacCarthy, J.; Park, J.; Stump, B. W.; Hayward, C.; Dannemann, F. K.

    2015-12-01

    We are developing a database-centric pipeline for the analysis of data from a regional network of infrasound arrays. The pipeline includes analysis at station and network levels (using beam-forming and clustering techniques, respectively) for the detection, association and location of events. The pipeline relies on the interaction of the algorithms with a relational database structure to organize and store waveform data, the parameters for the analysis, and results of both levels of analysis. Our implementation can interact seamlessly with traditional (e.g.: Oracle) and serverless (e.g.: SQLite) relational databases. Data from nine infrasonic arrays co-located with University of Utah Seismograph Stations, three additional arrays in Nevada, operated by Southern Methodist University, and IMS arrays at IS56 in Washington State and IS57 in California are used to test the operation of the pipeline, the algorithms, and the sensitivity of the results to the parameters of the analysis

  15. Geodetic networks in Al-Hoceima, Fez-Meknes and Ouarzazate regions (Morocco) to monitor local deformations

    NASA Astrophysics Data System (ADS)

    Gil, A. J.; Ruiz, A. M.; Lacy, M. C.; Galindo-Zaldívar, J.; Anahnah, F.; Ruano, P.; Álvarez-Lobato, P. Ayarza, F.; Arboleya, A. Teixel, M. L.; Azzouz, O.; Ahmamou, A. Chalouan, M.; Kchikach, A.

    2009-04-01

    In the framework of some interdisciplinary research projects, several geodetic studies have been initiated aiming to quantify ground deformation in some areas of Morocco: the Al-Hoceima region (Rif cordillera), the Fez-Meknes region and the Ouarzazate region (Atlas Mountains). The Al-Hoceima region, located in the central part of the Rif Cordilleras, has undergone an intense seismic activity, in which the most significant events occurred in 1994 and 2004 (M= 6.3). Although seismicity data support the presence of transcurrent faults, and available radar interferometry researches evidence surface deformations, geological data suggest that main seismogentic fault zone has not a surface expression. Anyway, a set of N-S oriented normal faults (Rouadi, Al-Hoceima, Trougout) determines the present-day geomorphology and seems to continue to be active in surface. In this area, a new non-permanent GPS network consisting of 6 sites has been installed and surveyed in June 2007 and September 2008. The repeated measurements of this network may allow to exactly determine the surface expression of deep tectonic deformations in this region, and to quantify the creep and the coseismic motions in the area, that will contribute to better understand the seismic hazard. The Prerif Ridges located in the Fez-Meknes region, constitute the active mountain front of the Rif cordillera that accommodates most of the recent convergence between Eurasia and African plates. South of the ridges, the Saïss foreland basin overlies the foreland rocks corresponding to the Middle Atlas. There are evidences of Quaternary uplift of the Prerif Ridges and deformation of recent sediments as consequence of the southwards propagation of reverse faults along the mountain front. In addition, the foreland basin undergoes a roughly N-S extensional regime. The region undergoes a moderate seismic activity, with catastrophic events like that occurred in 1755 which damaged Fez and Meknes. On September 2007, a non

  16. [A regional alliance in nutritional management-ten years of collaboration with an nutrition support team network].

    PubMed

    Ibata, Takeshi; Hidaka, Kumi; Shinoki, Keiji; Matsuoka, Mio; Hata, Akiko; Nakashita, Chisako; Mito, Saori; Doi, Seiko; Komuro, Ryutaro; Iijima, Shohei

    2012-12-01

    Ten years has passed since we began the nutrition support team(NST)to make a regional alliance between local institutions for construction of the NST network. The network was formed with the following aims: 1) regional joint conferences for learning about nutrition with family doctors, facilities, and hospitals; 2) open general meetings for information about nutrition within the suburbs of our city; 3) preparing and sending an NST manual about parenteral nutrition(PN)and enteral nutrition(EN); and 4) preparation of an NST summary of patient malnutrition to foster mutual understanding. We produced a questionnaire summarizing the completion of nutritional management in patients. The following positive benefits were observed: 1) improved nutritional motivation and technique; 2) reduced nutritional confusion after discharge from our hospital; and 3) lower levels of anxiety in the facilities, the patient, and among the patient's family. In addition, follow-upinquiries allowed us to estimate whether our nutritional strategy was adequate. A more widely open regional alliance is needed in the future to strengthen patient nutrition following hospital discharge.

  17. [Preliminary observation on survival and reproduction of imported Oncomelania snails in water network regions: a simulated experiment].

    PubMed

    Tian, Jian-Guo; Zhong, Wen-Jiang; Li, Gui-Fu; Peng, Li-Xia; Xiang, Xiao-Ping

    2011-04-01

    To observe the survival and reproduction of exotic imported Oncomelania snails in water network regions. During a period between May 22, 2008 and August 7, 2009, a study pilot was established in a historical snail habitat in Qingpu District of Shanghai City. A total of 12 soil samples were collected from Qingpu, Jinshan and Songjiang districts and placed in the study area. Active marked adults snails without infections (with a female/male ratio of 1) were placed on soil surface, and the activity, survival and reproduction of snails on soil surface were observed. The temperature during the period of the study was recorded. During the experiment period, the highest temperature was 39 degrees C, the lowest was -3 degrees C, and the average was 20 degrees C. The activity of snails reduced significantly on the soil surface at high temperature in summer and low temperature in winter. There were 91 old snails (5.2%) that moved on soil surface in March and 73 (12.2% ) in June, 2009. A total of 26 and 59 offspring snails were found respectively in April and June, 2009, with average density of 2.17 snails/m2 (26/12) and 4.92 snails/m2 (59/12) respectively. The exotic imported snails can survive and reproduce in water network regions. Further monitoring should be strengthened on the imported snails in these regions.

  18. Promoting ICT Entrepreneurship in the Campania Region of Italy: A Network of Academic Incubators

    ERIC Educational Resources Information Center

    Corti, Eugenio; Torello, Rita Ilenia

    2004-01-01

    The government of the Campania region in southern Italy has established a technology transfer centre for the information and communications technology (ICT) sector. The Regional Centre for ICT Competencies (RCICT) promotes the transfer of ICT to local small and medium-sized enterprises (SMEs) and encourages the creation of new knowledge-based…

  19. Evaluating the intersection of a regional wildlife connectivity network with highways

    Treesearch

    Samuel A. Cushman; Jesse S. Lewis; Erin L. Landguth

    2013-01-01

    Reliable predictions of regional-scale population connectivity are needed to prioritize conservation actions. However, there have been few examples of regional connectivity models that are empirically derived and validated. The central goals of this paper were to (1) evaluate the effectiveness of factorial least cost path corridor mapping on an empirical...

  20. Building Regional Networking Capacity through Leadership Development: The Case of Leadership Northwest Missouri

    ERIC Educational Resources Information Center

    Maltsberger, Beverly; Majee, Wilson

    2012-01-01

    Through a case study analysis of a regional leadership development program, this article describes the impact on individual and group leadership skills and how the skills are employed to benefit individual communities and the region as a whole. Data were obtained through surveys. Through cooperation and collaboration between and among leadership…

  1. Promoting ICT Entrepreneurship in the Campania Region of Italy: A Network of Academic Incubators

    ERIC Educational Resources Information Center

    Corti, Eugenio; Torello, Rita Ilenia

    2004-01-01

    The government of the Campania region in southern Italy has established a technology transfer centre for the information and communications technology (ICT) sector. The Regional Centre for ICT Competencies (RCICT) promotes the transfer of ICT to local small and medium-sized enterprises (SMEs) and encourages the creation of new knowledge-based…

  2. Blended Learning Citation Patterns and Publication Networks across Seven Worldwide Regions

    ERIC Educational Resources Information Center

    Spring, Kristian J.; Graham, Charles R.

    2017-01-01

    The field of international blended learning (BL) is primed to benefit from stronger communication and collaboration. Collaboration is currently limited, and regions vary greatly in terms of citations. However, BL is growing worldwide and each region is an important part of the community. The goal of this research is to explore where the most…

  3. Integrative Gene Regulatory Network Analysis Reveals Light-Induced Regional Gene Expression Phase Shift Programs in the Mouse Suprachiasmatic Nucleus

    PubMed Central

    Zhu, Haisun; Vadigepalli, Rajanikanth; Rafferty, Rachel; Gonye, Gregory E.; Weaver, David R.; Schwaber, James S.

    2012-01-01

    We use the multigenic pattern of gene expression across suprachiasmatic nuclei (SCN) regions and time to understand the dynamics within the SCN in response to a circadian phase-resetting light pulse. Global gene expression studies of the SCN indicate that circadian functions like phase resetting are complex multigenic processes. While the molecular dynamics of phase resetting are not well understood, it is clear they involve a “functional gene expression program”, e.g., the coordinated behavior of functionally related genes in space and time. In the present study we selected a set of 89 of these functionally related genes in order to further understand this multigenic program. By use of high-throughput qPCR we studied 52 small samples taken by anatomically precise laser capture from within the core and shell SCN regions, and taken at time points with and without phase resetting light exposure. The results show striking regional differences in light response to be present in the mouse SCN. By using network-based analyses, we are able to establish a highly specific multigenic correlation between genes expressed in response to light at night and genes normally activated during the day. The light pulse triggers a complex and highly coordinated network of gene regulation. The largest differences marking neuroanatomical location are in transmitter receptors, and the largest time-dependent differences occur in clock-related genes. Nighttime phase resetting appears to recruit transcriptional regulatory processes normally active in the day. This program, or mechanism, causes the pattern of core region gene expression to transiently shift to become more like that of the shell region. PMID:22662235

  4. Understanding the poultry trade network in Kenya: Implications for regional disease prevention and control.

    PubMed

    McCarron, Margaret; Munyua, Peninah; Cheng, Po-Yung; Manga, Thomas; Wanjohi, Cathryn; Moen, Ann; Mounts, Anthony; Katz, Mark A

    2015-07-01

    Infectious diseases in poultry can spread quickly and lead to huge economic losses. In the past decade, on multiple continents, the accelerated spread of highly pathogenic avian Influenza A (H5N1) virus, often through informal trade networks, has led to the death and culling of hundreds of millions of poultry. Endemic poultry diseases like Newcastle disease and fowl typhoid can also be devastating in many parts of the world. Understanding trade networks in unregulated systems can inform policy decisions concerning disease prevention and containment. From June to December 2008 we conducted a cross-sectional survey of backyard farmers, market traders, and middlemen in 5/8 provinces in Kenya. We administered a standardized questionnaire to each type of actor using convenience, random, snowball, and systematic sampling. Questionnaires addressed frequency, volume, and geography of trade, as well as biosecurity practices. We created a network diagram identifying the most important locations for trade. Of 380 respondents, 51% were backyard farmers, 24% were middlemen and 25% were market traders. Half (50%) of backyard farmers said they raised poultry both for household consumption and for sale. Compared to market traders, middlemen bought their poultry from a greater number of villages (median 4.2 villages for middlemen vs. 1.9 for market traders). Traders were most likely to purchase poultry from backyard farmers. Of the backyard farmers who sold poultry, 51% [CI 40-63] reported selling poultry to market traders, and 54% [CI 44-63] sold to middlemen. Middlemen moved the largest volume of poultry on a weekly basis (median purchases: 187 birds/week [IQR 206]; median sales: 188 birds/week [IQR 412.5]). The highest numbers of birds were traded in Nairobi - Kenya's capital city. Nairobi was the most prominent trading node in the network (61 degrees of centrality). Many smaller sub-networks existed as a result of clustered local trade. Market traders were also integral to the

  5. Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata.

    PubMed

    Qiang, Yi; Lam, Nina S N

    2015-03-01

    As one of the most vulnerable coasts in the continental USA, the Lower Mississippi River Basin (LMRB) region has endured numerous hazards over the past decades. The sustainability of this region has drawn great attention from the international, national, and local communities, wanting to understand how the region as a system develops under intense interplay between the natural and human factors. A major problem in this deltaic region is significant land loss over the years due to a combination of natural and human factors. The main scientific and management questions are what factors contribute to the land use land cover (LULC) changes in this region, can we model the changes, and how would the LULC look like in the future given the current factors? This study analyzed the LULC changes of the region between 1996 and 2006 by utilizing an artificial neural network (ANN) to derive the LULC change rules from 15 human and natural variables. The rules were then used to simulate future scenarios in a cellular automation model. A stochastic element was added in the model to represent factors that were not included in the current model. The analysis was conducted for two sub-regions in the study area for comparison. The results show that the derived ANN models could simulate the LULC changes with a high degree of accuracy (above 92 % on average). A total loss of 263 km(2) in wetlands from 2006 to 2016 was projected, whereas the trend of forest loss will cease. These scenarios provide useful information to decision makers for better planning and management of the region.

  6. Present-Day Kinematics of the Central Mediterranean Plate Boundary Region from Large GPS Network Analysis Using the Ambizap Algorithm

    NASA Astrophysics Data System (ADS)

    D'Anastasio, E.; D'Agostino, N.; Avallone, A.; Blewitt, G.

    2008-12-01

    The large, recent increase of continuous GPS (CGPS) stations in the Central Mediterranean plate boundary zone offers the opportunity to study in detail the present-day kinematics of this actively deforming region. CGPS data from scientific and commercial networks in the Italian region is now available from more than 350 stations, including more than 130 from the RING network deployed by the Istituto Nazionale di Geofisica e Vulcanologia. The RING stations all have high quality GPS monuments and are co- located with broadband or very broadband seismometers and strong motion sensors. The analysis presented here also uses far-field data to provide reference frame control, bringing the total to over 580 CGPS stations. GPS ambiguity resolution of such a large amount of data presents a serious challenge in terms of processing time. Many scientific GPS data processing software packages address this problem by dividing the network into several clusters. In contrast, this analysis uses the new Ambizap GPS processing algorithm (Blewitt, 2008) to obtain unique, self-consistent daily ambiguity-fixed solutions for the entire network. Ambizap allows for a rapid and multiple reanalysis of large regional networks such the one presented in this work. Tests show that Ambizap reproduces solutions from time-prohibitive full-network ambiguity resolution to much less than 1 mm. Single station GPS data are first processed with the GIPSY-OASIS II software by the precise point positioning (PPP) strategy (Zumberge et al., 1997) using JPL products from ftp://sideshow.jpl.nasa.gov. Integer ambiguity resolution is then applied using Ambizap. The resulting daily solutions are aligned to the ITRF2005 reference frame. Then, using the CATS software (Williams, 2007), time series are cleaned to remove outliers and are analyzed for their noise properties, linear velocities, periodic signals and antenna jumps. Stable plate reference frames are realized by minimizing the horizontal velocities at more

  7. Regional and seasonal characteristics of epipelagic mesozooplankton in the Mediterranean Sea based on an artificial neural network analysis

    NASA Astrophysics Data System (ADS)

    Mazzocchi, M. G.; Siokou, I.; Tirelli, V.; Bandelj, V.; Fernandez de Puelles, M. L.; Ak Örek, Y.; de Olazabal, A.; Gubanova, A.; Kress, N.; Protopapa, M.; Solidoro, C.; Taglialatela, S.; Terbiyik Kurt, T.

    2014-07-01

    The cruises conducted in the spring and autumn of 2008 in the frame of the European project SESAME represented the first coordinated surveys that allowed acquiring a quasi-synoptic picture of epipelagic mesozooplankton in most regions of the Mediterranean Sea. Seasonal differences were recorded in biomass, total abundance, and community composition and structure. In both seasons, it did not appear a clear west-east decreasing gradient in total standing stock, but rather regional discontinuities. However, west or east preferences were observed in the distribution of some zooplanktonic groups and copepod species. An artificial neural network analysis (SOM) identified, in both seasons, a clear mesozooplankton regionalization, which resembled the autotrophic regimes based on color remote sensing data. The correspondence between the distribution of zooplankton communities and the trophic regimes appeared more precise in spring, when the increased concentration of chlorophyll a makes the Mediterranean Sea a more heterogeneous environment, but it was still visible in the more uniform oligotrophic autumn conditions. Three distinct types of mesozooplankton communities seem to flourish in the investigated regions: the first type is the most widespread and thrives in the "non-blooming" areas, the second type occurs in the "intermittently-blooming" areas, and the third type is a characteristic of areas with recurrent and intense phytoplankton blooms. Overall, the well defined regionalization of mesozooplankton that appears from our results corroborates the view of the Mediterranean Sea as a mosaic environment, as previously emerged from the analyses of different biological compartments.

  8. Advances in dynamic modeling of colorectal cancer signaling-network regions, a path toward targeted therapies

    PubMed Central

    Kolch, Walter; Kholodenko, Boris N.; Ambrosi, Cristina De; Barla, Annalisa; Biganzoli, Elia M.; Nencioni, Alessio; Patrone, Franco; Ballestrero, Alberto; Zoppoli, Gabriele; Verri, Alessandro; Parodi, Silvio

    2015-01-01

    The interconnected network of pathways downstream of the TGFβ, WNT and EGF-families of receptor ligands play an important role in colorectal cancer pathogenesis. We studied and implemented dynamic simulations of multiple downstream pathways and described the section of the signaling network considered as a Molecular Interaction Map (MIM). Our simulations used Ordinary Differential Equations (ODEs), which involved 447 reactants and their interactions. Starting from an initial “physiologic condition”, the model can be adapted to simulate individual pathologic cancer conditions implementing alterations/mutations in relevant onco-proteins. We verified some salient model predictions using the mutated colorectal cancer lines HCT116 and HT29. We measured the amount of MYC and CCND1 mRNAs and AKT and ERK phosphorylated proteins, in response to individual or combination onco-protein inhibitor treatments. Experimental and simulation results were well correlated. Recent independently published results were also predicted by our model. Even in the presence of an approximate and incomplete signaling network information, a predictive dynamic modeling seems already possible. An important long term road seems to be open and can be pursued further, by incremental steps, toward even larger and better parameterized MIMs. Personalized treatment strategies with rational associations of signaling-proteins inhibitors, could become a realistic goal. PMID:25671297

  9. Regional application of multi-layer artificial neural networks in 3-D ionosphere tomography

    NASA Astrophysics Data System (ADS)

    Ghaffari Razin, Mir Reza; Voosoghi, Behzad

    2016-08-01

    Tomography is a very cost-effective method to study physical properties of the ionosphere. In this paper, residual minimization training neural network (RMTNN) is used in voxel-based tomography to reconstruct of 3-D ionosphere electron density with high spatial resolution. For numerical experiments, observations collected at 37 GPS stations from Iranian permanent GPS network (IPGN) are used. A smoothed TEC approach was used for absolute STEC recovery. To improve the vertical resolution, empirical orthogonal functions (EOFs) obtained from international reference ionosphere 2012 (IRI-2012) used as object function in training neural network. Ionosonde observations is used for validate reliability of the proposed method. Minimum relative error for RMTNN is 1.64% and maximum relative error is 15.61%. Also root mean square error (RMSE) of 0.17 × 1011 (electrons/m3) is computed for RMTNN which is less than RMSE of IRI2012. The results show that RMTNN has higher accuracy and compiles speed than other ionosphere reconstruction methods.

  10. Advances in dynamic modeling of colorectal cancer signaling-network regions, a path toward targeted therapies.

    PubMed

    Tortolina, Lorenzo; Duffy, David J; Maffei, Massimo; Castagnino, Nicoletta; Carmody, Aimée M; Kolch, Walter; Kholodenko, Boris N; De Ambrosi, Cristina; Barla, Annalisa; Biganzoli, Elia M; Nencioni, Alessio; Patrone, Franco; Ballestrero, Alberto; Zoppoli, Gabriele; Verri, Alessandro; Parodi, Silvio

    2015-03-10

    The interconnected network of pathways downstream of the TGFβ, WNT and EGF-families of receptor ligands play an important role in colorectal cancer pathogenesis.We studied and implemented dynamic simulations of multiple downstream pathways and described the section of the signaling network considered as a Molecular Interaction Map (MIM). Our simulations used Ordinary Differential Equations (ODEs), which involved 447 reactants and their interactions.Starting from an initial "physiologic condition", the model can be adapted to simulate individual pathologic cancer conditions implementing alterations/mutations in relevant onco-proteins. We verified some salient model predictions using the mutated colorectal cancer lines HCT116 and HT29. We measured the amount of MYC and CCND1 mRNAs and AKT and ERK phosphorylated proteins, in response to individual or combination onco-protein inhibitor treatments. Experimental and simulation results were well correlated. Recent independently published results were also predicted by our model.Even in the presence of an approximate and incomplete signaling network information, a predictive dynamic modeling seems already possible. An important long term road seems to be open and can be pursued further, by incremental steps, toward even larger and better parameterized MIMs. Personalized treatment strategies with rational associations of signaling-proteins inhibitors, could become a realistic goal.

  11. The Louisiana Clinical Data Research Network: Leveraging Regional and National Resources to Improve Clinical Research Efficiency

    PubMed Central

    Parke, Courtney; Cook, Julia; Carton, Thomas; Rao, Sohail

    2014-01-01

    Background Mapping of the human genome and technological advancements allowing storage and rapid retrieval of healthcare data have heralded a new phase in clinical medicine and have served as a catalyst for the advent of personalized medicine. The use of health information databases provides a unique opportunity to investigate questions of great complexity and real-world application in a way that is most useful in providing high quality, safe, and cost-effective clinical care to patients. Methods The Louisiana Clinical Data Research Network (LACDRN) aims to streamline the workflow of multiinstitutional clinical studies and to dramatically expand the clinical research resources available to local investigators. The LACDRN contains health information for more than 1 million patients in Southeast Louisiana and is a rich resource for researchers to conduct retrospective or observational trials and to recruit patients for prospective studies. Results The LACDRN is part of a large-scale initiative by the Patient-Centered Outcomes Research Institute to create a national electronic health record network that enables the timely initiation and completion of comparative effectiveness research in a coordinated effort. For the first time, network research will be guided in part by input from patients and caregivers, increasing their engagement in the research process. Conclusion The establishment of the LACDRN is a unique opportunity for clinicians to take part in an innovative national initiative designed to offer new clinical research options for patients and to carry out cutting-edge translational, clinical, and health services research. PMID:25598739

  12. No Reef Is an Island: Integrating Coral Reef Connectivity Data into the Design of Regional-Scale Marine Protected Area Networks.

    PubMed

    Schill, Steven R; Raber, George T; Roberts, Jason J; Treml, Eric A; Brenner, Jorge; Halpin, Patrick N

    2015-01-01

    We integrated coral reef connectivity data for the Caribbean and Gulf of Mexico into a conservation decision-making framework for designing a regional scale marine protected area (MPA) network that provides insight into ecological and political contexts. We used an ocean circulation model and regional coral reef data to simulate eight spawning events from 2008-2011, applying a maximum 30-day pelagic larval duration and 20% mortality rate. Coral larval dispersal patterns were analyzed between coral reefs across jurisdictional marine zones to identify spatial relationships between larval sources and destinations within countries and territories across the region. We applied our results in Marxan, a conservation planning software tool, to identify a regional coral reef MPA network design that meets conservation goals, minimizes underlying threats, and maintains coral reef connectivity. Our results suggest that approximately 77% of coral reefs identified as having a high regional connectivity value are not included in the existing MPA network. This research is unique because we quantify and report coral larval connectivity data by marine ecoregions and Exclusive Economic Zones (EZZ) and use this information to identify gaps in the current Caribbean-wide MPA network by integrating asymmetric connectivity information in Marxan to design a regional MPA network that includes important reef network connections. The identification of important reef connectivity metrics guides the selection of priority conservation areas and supports resilience at the whole system level into the future.

  13. No Reef Is an Island: Integrating Coral Reef Connectivity Data into the Design of Regional-Scale Marine Protected Area Networks

    PubMed Central

    Schill, Steven R.; Raber, George T.; Roberts, Jason J.; Treml, Eric A.; Brenner, Jorge; Halpin, Patrick N.

    2015-01-01

    We integrated coral reef connectivity data for the Caribbean and Gulf of Mexico into a conservation decision-making framework for designing a regional scale marine protected area (MPA) network that provides insight into ecological and political contexts. We used an ocean circulation model and regional coral reef data to simulate eight spawning events from 2008–2011, applying a maximum 30-day pelagic larval duration and 20% mortality rate. Coral larval dispersal patterns were analyzed between coral reefs across jurisdictional marine zones to identify spatial relationships between larval sources and destinations within countries and territories across the region. We applied our results in Marxan, a conservation planning software tool, to identify a regional coral reef MPA network design that meets conservation goals, minimizes underlying threats, and maintains coral reef connectivity. Our results suggest that approximately 77% of coral reefs identified as having a high regional connectivity value are not included in the existing MPA network. This research is unique because we quantify and report coral larval connectivity data by marine ecoregions and Exclusive Economic Zones (EZZ) and use this information to identify gaps in the current Caribbean-wide MPA network by integrating asymmetric connectivity information in Marxan to design a regional MPA network that includes important reef network connections. The identification of important reef connectivity metrics guides the selection of priority conservation areas and supports resilience at the whole system level into the future. PMID:26641083

  14. Regional Geograhpic Network Partnerships Supporting Sustainable Landscapes - An Example: The North Atlantic Landscape Conservation Cooperative

    EPA Science Inventory

    Natural resource management agencies, conservation organizations and other stakeholders are facing increasingly complex environmental challenges that require coordinated management actions at regional and landscape levels. To address these challenges, integrated multi-disciplina...

  15. Regional Geograhpic Network Partnerships Supporting Sustainable Landscapes - An Example: The North Atlantic Landscape Conservation Cooperative

    EPA Science Inventory

    Natural resource management agencies, conservation organizations and other stakeholders are facing increasingly complex environmental challenges that require coordinated management actions at regional and landscape levels. To address these challenges, integrated multi-disciplina...

  16. Improving Suicide Prevention in Dutch Regions by Creating Local Suicide Prevention Action Networks (SUPRANET): A Study Protocol

    PubMed Central

    Gilissen, Renske; De Beurs, Derek; Mokkenstorm, Jan; Mérelle, Saskia; Donker, Gé; Terpstra, Sanne; Derijck, Carla; Franx, Gerdien

    2017-01-01

    The European Alliance against Depression (EAAD) program is to be introduced in The Netherlands from 2017 onwards. This program to combat suicide consists of interventions on four levels: (1) increasing the awareness of suicide by local media campaigns; (2) training local gatekeepers, such as teachers or police officers; (3) targeting high-risk persons in the community; and (4) training and support of professionals in primary care settings. The implementation starts in seven Dutch pilot regions. Each region is designated as a Suicide Prevention Action