WorldWideScience

Sample records for cee region network

  1. CEE region offers ample value proposition

    Energy Technology Data Exchange (ETDEWEB)

    Dobrova, Helena; Gawenda, Piotr [IHS, Geneva (Switzerland)

    2008-12-15

    The Central-Eastern Europe region (CEE) continues to evolve and offer ample value propositions to various types of operators. This area experiences a surge of exploration and production (E and P) interest over the past years. The bulk of the present-day production in the CEE countries is derived from mature oil and gas fields situated in prolific hydrocarbon provinces known since the mid-XIX century (e.g., the Carpathians in Poland and Romania). Yet, these areas still remain the major exploration targets to this day. The authors of the contribution under consideration summarize the E and P activities in the CEE countries during the past 12 to 18 months. This summary shows a fairly heterogeneous petroleum-related exploration picture: some countries have yet to launch their first E and P operations, others maintain a somewhat limited level of activities, while a few states, namely Bulgaria, Hungary, Poland and Romania, show a very busy contractual and operational shedule. The effords are yielding astounding results in some countries, delivered principally by small-size to medium-size independent explorers, as well as former state entities and a few remaining NOCs.

  2. Investment in the CEE/CIS region

    International Nuclear Information System (INIS)

    Lemierre, J.

    2002-01-01

    The energy investments in the Central and Eastern European region and the Commonwealth of Independent States (CIS) region are discussed in this Keynote Address. The message is addressed to regulators and governments. The restructuring of old industries to save energy is highlighted. The regulatory system must undergo a substantial reform. Another message is placed for investors in the energy field. (R.P.)

  3. Comparative Analysis of Levels of Banking Sector Markets Concentration in CEE Region

    Directory of Open Access Journals (Sweden)

    Kaličanin Tijana

    2016-06-01

    Full Text Available Banking sector is an important development factor of the total financial and economic system. Number of banks and dispersion of their individual shares defines competitive structure of banking sector, manifested by its concentration. Market concentration may be presented as a function of a number of enterprises competing in a market and their individual comparative market shares. Concentration analysis is significant with regard to the fact that the level of concentration demonstrates relations among competitors in a market, as well as influence each competitor has on consumers, branch and economy as a whole. Starting from 2008 crisis, domino effect of which hit banking sector and has had a huge impact on it, authors of this paper aimed at establishing a level of market concentration of the banking sector in Serbia and countries in the region in 2015 by application of a large number of market concentration indicators.

  4. Neural Networks-Based Forecasting Regarding the Convergence Process of CEE Countries to the Eurozone

    Directory of Open Access Journals (Sweden)

    Magdalena RĂDULESCU

    2014-06-01

    Full Text Available In the crisis frame, many forecasts failed to provide well determined ratios. What we tried to explain in this paper is how some selected Central and Eastern European countries will perform in the near future: Romania, Bulgaria, Hungary, Poland and Czech Republic, using neural networks- based forecasting model which we created for the nominal and real convergence ratios. As a methodology, we propose the forecasting based on artificial neural network (ANN, using the well-known software tool GMDH Shell. For each output variable, we obtain a forecast model, according to previous values and other input related variables, and we applied the model to all countries. Our forecasts are much closer to the partial results of 2013 in the analyzed countries than the European Commission’s or other international organizations’ forecasts. The results of the forecast are important both for governments to design their financial strategies and for the investors in these selected countries. According to our results, the Czech Republic seems to be closer to achieve its nominal convergence in the next two years, but it faces great difficulties in the real convergence area, because it did not overpass the recession.

  5. Re-examining the Role of Transport Infrastructure in Trade, Regional Growth and Governance: Comparing the Greater Mekong Subregion (GMS and Central Eastern Europe (CEE

    Directory of Open Access Journals (Sweden)

    François Bafoil

    2010-01-01

    Full Text Available The main objective of this article is to question the hypothesis of the role of transport infrastructures in regional economic growth by comparing Central Eastern Europe (supported by the EU structural and cohesion funds and the Greater Mekong Subregion (mainly supported by the “economic corridors” of the ADB. Three main components of trade efficiency are scrutinized and compared: (1 the historical development of trade agreements, (2 the supra-national (regional capacity of trade regulation, and (3 the micro level of governance between the different actors involved in trade. The comparison between CEE and the GMS is all the more warranted because of two paradoxes that need to be explained: The first one results from the existing link between transport and growth in the case of the GMS, and the lack of a link in the case of CEE. The second paradox insists on the fact that despite their very different institutional frameworks, both subregions continue to face similar challenges concerning the implementation of trade agreements and the exchange of facilities at the local level – pointing towards the issue of governance.

  6. Universal salt iodization in the Central and Eastern Europe, Commonwealth of Independent States (CEE/CIS) Region during the decade 2000-09: experiences, achievements, and lessons learned.

    Science.gov (United States)

    van der Haar, Frits; Gerasimov, Gregory; Tyler, Vilma Qahoush; Timmer, Arnold

    2011-12-01

    By 2000, the global track record on universal salt iodization (USI) indicated 26% access to adequately iodized salt in the Central and Eastern Europe, Commonwealth of Independent States (CEE/ CIS) Region. Aimed at extracting lessons learned, this study examined experiences, achievements, and outcomes of USI strategies in CEE/CIS countries during the subsequent decade. Information from the design, timing, execution, outputs, multi-sector management and results of actions by national stakeholders yielded 20 country summaries. Analysis across countries used a LogFrame Analysis typical for public nutrition development. By 2009, USI strategies had reached the target and population iodine nutrition shown adequate levels in 9 countries, while in 6 others, USI was close and/or population iodine status showed only minor imperfection. True USI, i.e., iodization of salt destined both for the food industry and the household, had been made mandatory in 13 of these 15 countries. In the Balkan area, USI and iodine nutrition advanced more than in CIS. Of the 20 sample countries, 17 (85%) had exceeded the mark of 50% adequate access, while the overall regional score reached 55% by 2010. Experience from this region suggests that strong partnership collaboration, a new concept in post-Soviet societies, was a major success factor. Voluntary iodization or focusing on household salt alone was less likely conducive for success. Achieving optimum iodine nutrition required the setting of proper iodine standard Weak political leadership insistence in the Russian Federation and Ukraine to embrace USI is the main factor why the region remains behind in the global progress.

  7. The Geography of Multinational Corporations in CEE Countries: Perspectives for Second-Tier City Regions and European Cohesion Policy

    Directory of Open Access Journals (Sweden)

    Teodora Dogaru

    2014-01-01

    Full Text Available Las mayores disparidades regionales en los países del centro y este de Europa se observan entre las regiones con las capitales y el resto. Las empresas multinacionales invierten en estas regiones por distintas razones, contribuyendo de manera exógena al desarrollo regional. En este artículo, analizamos las decisiones de localización de las inversiones directas extranjeras entre 2003 y 2010. Encontramos que los factores más importantes de las inversiones extranjeras son la accesibilidad del mercado, las ventajas estratégicas, la calidad institucional y aglomeración, más aún en la época después de la crisis. En la actualidad, las regiones con ciudades secundarias no son capaces de ofrecer todos estos factores al mismo tiempo. Para mejorar sus oportunidades y contribuciones a la cohesión y convergencia europea se requieren mayores inversiones. Sin éstas, las oportunidades de competir mencionadas anteriormente para las regiones con ciudades secundarias serían difíciles de obtener.

  8. Training and capacity building in central and eastern Europe through the EuroFIR and CEE networks

    NARCIS (Netherlands)

    Pavlovic, M.; Witthoft, C.M.; Hollman, P.C.H.; Hulshof, P.J.M.; Glibetic, M.; Porubska, J.; Pepping, F.; Oshaug, A.

    2009-01-01

    Capacity building in food and nutrition aims to enhance knowledge and support infrastructural development in this field. International Network of Food Data Systems (INFOODS) was established on the basis of the recommendations of an international group convened under the auspices of the United

  9. The missing dimension of knowledge transfer from subsidiaries to headquarters: The case of Oil and Gas companies in CEE region

    Directory of Open Access Journals (Sweden)

    Emil Velinov

    2016-12-01

    Full Text Available The paper identifies knowledge management determinants of knowledge transfer from subsidiaries to headquarters in the top Oil & Gas companies in Central and Eastern Europe as their level of innovations, internationalization and economic importance are emerging. The paper sheds a light not only on the process of knowledge transfer parent-subsidiary but via versa as it is critical in the 21st century for better adapting to specific business needs in certain geographical regions. Thus, this reversed knowledge from subsidiaries to headquarters is critical for the given business sector where the level of innovation and amount of R&D investments are enormous. The study argues that the reversed process of knowledge transfers from subsidiary to parent company is positively related to company performance and business diversification. Nowadays the knowledge formed in the subsidiaries of Multinational Corporations (MNCs is transferred to headquarters by investing in R&D centres, building new exploration and testing sites abroad. In the reversed knowledge transfer process we can identify main challenges, which are very critical to analyse and determine the exact process.

  10. Collaborative engagement experiment (CEE)

    Science.gov (United States)

    Wade, Robert L.; Reames, Joseph M.

    2005-05-01

    Unmanned ground and air systems operating in collaboration have the potential to provide future Joint Forces a significant capability for operations in complex terrain. Ground and air collaborative engagements potentially offer force conservation, perform timely acquisition and dissemination of essential combat information, and can eliminate high value and time critical targets. These engagements can also add considerably to force survivability by reducing soldier and equipment exposure during critical operations. The Office of the Secretary of Defense, Joint Robotics Program (JRP) sponsored Collaborative Engagement Experiment (CEE) is a consolidation of separate Air Force, Army and Navy collaborative efforts to provide a Joint capability. The Air Force Research Laboratory (AFRL), Material and Manufacturing Directorate, Aerospace Expeditionary Force Division, Force Protection Branch (AFRLMLQF), The Army Aviation and Missile Research, Development and Engineering Center (AMRDEC) Joint Technology Center (JTC)/Systems Integration Laboratory (SIL), and the Space and Naval Warfare Systems Center-San Diego (SSC San Diego) are conducting technical research and proof of principle for an envisioned operational concept for extended range, three dimensional, collaborative operations between unmanned systems, with enhanced situational awareness for lethal operations in complex terrain. This program will assess information requirements and conduct experiments to identify and resolve technical risks for collaborative engagements using Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs). It will research, develop and physically integrate multiple unmanned systems and conduct live collaborative experiments. Modeling and Simulation systems will be upgraded to reflect engineering fidelity levels to greater understand technical challenges to operate as a team. This paper will provide an update of a multi-year program and will concentrate primarily on the JTC

  11. CEE/CA: Report calls for decriminalization of sex work.

    Science.gov (United States)

    Betteridge, Glenn

    2006-04-01

    In December 2005, the Central and Eastern European Harm Reduction Network (CEEHRN) released a report calling for the decriminalization of sex work in the 27 countries of Central and Eastern Europe and Central Asia (CEE/CA). The report brings together a wealth of published and original information concerning sex work, laws regulating sex work, epidemiological data regarding HIV and other sexually transmitted infections (STIs), services available to sex workers, and human rights abuses faced by sex workers.

  12. New considerations on the management of osteoporosis in Central and Eastern Europe (CEE): summary of the "3rd Summit on Osteoporosis-CEE", November 2009, Budapest, Hungary.

    Science.gov (United States)

    Lakatos, Péter; Balogh, Adám; Czerwinski, Edward; Dimai, Hans P; Hans, Didier; Holzer, Gerold; Lorenc, Roman S; Palicka, Vladimir; Obermayer-Pietsch, Barbara; Stepan, Jan; Takács, István; Resch, Heinrich

    2011-01-01

    In November 2009, the "3rd Summit on Osteoporosis-Central and Eastern Europe (CEE)" was held in Budapest, Hungary. The conference aimed to tackle issues regarding osteoporosis management in CEE identified during the second CEE summit in 2008 and to agree on approaches that allow most efficient and cost-effective diagnosis and therapy of osteoporosis in CEE countries in the future. The following topics were covered: past year experience from FRAX® implementation into local diagnostic algorithms; causes of secondary osteoporosis as a FRAX® risk factor; bone turnover markers to estimate bone loss, fracture risk, or monitor therapies; role of quantitative ultrasound in osteoporosis management; compliance and economical aspects of osteoporosis; and osteoporosis and genetics. Consensus and recommendations developed on these topics are summarised in the present progress report. Lectures on up-to-date data of topical interest, the distinct regional provenances of the participants, a special focus on practical aspects, intense mutual exchange of individual experiences, strong interest in cross-border cooperations, as well as the readiness to learn from each other considerably contributed to the establishment of these recommendations. The "4th Summit on Osteoporosis-CEE" held in Prague, Czech Republic, in December 2010 will reveal whether these recommendations prove of value when implemented in the clinical routine or whether further improvements are still required.

  13. MEDIA MARKET OVERVIEW IN CEE COUNTRIES

    Directory of Open Access Journals (Sweden)

    Cristina BURLACIOIU

    2018-05-01

    Full Text Available Every year, in every market and in any country, advertisers spend increasing budgets on advertising to influence consumer behavior. Finding the ideal marketing channel mix is a continuous challenge for every brand on every local market. This paper is aiming to analyze overall media investment in CEE region trying to find patterns of media mix based on economic context and local market status that supports media investment (internet and Facebook statistics, TV audiences. In the paper are used multidimensional methods like: principal component analysis and hierarchical clustering techniques. Thirteen Central and Eastern European countries are clustered based on 2017 data from Media Factbook. Two main patterns are described in the paper based on these data. The first one is characterized by high Internet usage, high Print and Digital advertising share. In terms of inverstment level, these countries have negative evolution of Net Market Spend per Capita in 2016 versus 2008 but high media market sizes. The second one is characterized by high out of home advertising share. In terms of inverstment level, these countries are splited in two subpatterns: one with negative and one with positive evolution of Net Market Spend per Capita in 2016 versus 2008.

  14. Energy research and teaching at CEE, DTU Elektro

    DEFF Research Database (Denmark)

    Holbøll, Joachim

    2014-01-01

    to be found need to take into consideration both technical and economic/environmental aspects. Finally, the components at generation, transmission and distribution level must be suitable for this alternative powers system without any risk for reduced reliability or life time. CEE is focusing on research...... and smart buildings play an important role. Another research area is within electric power networks, where renewable generation like large scale integration of wind power is a major challenge. Integration of the wind and solar power takes place at different voltage levels in the system and the solutions...

  15. Estimation of the banking sector competition in the CEE countries: The Panzar-Rosse approach

    Directory of Open Access Journals (Sweden)

    Arben Mustafa

    2017-12-01

    Full Text Available Competitive conditions in the banking sectors in the light of transition process in the Central and Eastern Europe countries (CEE has been subject of interest for researchers and policy-makers, especially upon entry of foreign banks and concentrated markets. In this paper the Panzar-Rosse approach is used to assess competition of banking sectors in CEE. By using General Method of Moments on the panel data for 300 banks for the period 1999-2009, empirical evidence indicates that banks operating in the CEE exert monopoly behaviour. From the methodological point of view, the findings suggest that using a price equation or controlling for total assets in a Panzar-Rosse approach produces upwards biased and invalid estimates of the H-statistic. Therefore, further support is provided for maintaining a reducedform revenue equation when estimating a Panzar-Rosse model. The findings also suggest that banks operating in the non-EU countries of the CEE region have exerted stronger market power compared to the banks operating in the EU countries of this region. Policy-makers should improve competitive conditions and general ‘enabling’ environment for the banking sectors, especially the non-EU countries of the CEE region, while balancing competition-stability trade-off.

  16. Investigating requests and expectations for future methods of CEE

    DEFF Research Database (Denmark)

    Nørgaard, Bente; Jensson, Palle; Bayard, Ove

    2014-01-01

    This article presents a map of requests and expectations for future ‘delivery’ methods of continuing engineering education (CEE) viewed from the perspective of Scandinavian managing directors and their employed engineers. During the last decades numerous attempts have been made to develop new...... into the crystal ball to identify requests and expectations to future methods of CEE. The significance of the investigation will be a conceptual map, which discloses some future focus areas ahead of CEE providers....

  17. Southern Appalachian Regional Seismic Network

    Energy Technology Data Exchange (ETDEWEB)

    Chiu, S.C.C.; Johnston, A.C.; Chiu, J.M. [Memphis State Univ., TN (United States). Center for Earthquake Research and Information

    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.

  18. Southern Appalachian Regional Seismic Network

    International Nuclear Information System (INIS)

    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

  19. Are the corporate governance standard in banks in the CEE countries low hanging fruit?

    OpenAIRE

    Slomka-Golebiowska, Agnieszka

    2011-01-01

    The dominance of foreign capital in banking sector in the CEE countries created vulnerabilities that have been a contributing cause of recent financial crisis in the region. The question is whether the corporate governance structure of banks seemed to constrain or rather stimulate the potential unfavourable scenario, in which the controlling investors would be improving their difficult financial situation at the cost of their subsidiaries during the financial crisis of 2008. The aim of t...

  20. PROFITABILITY OF THE CEE BANKING SYSTEMS DURING THE CRISIS PERIOD

    Directory of Open Access Journals (Sweden)

    MAGDALENA RADULESCU

    2012-01-01

    Full Text Available The increase of the foreign property in the CEE countries took place at the same time with the increase of the concentration on the banking market. The foreign countries contributed to the highest concentration level of the banking market through two channels: the acquisition by the foreign banks of some local institutions and the consolidation of the local (autochthonous institutions. Plus, the capital markets have developed considerably in the CEE countries, offering the firms alternative financing sources.

  1. PENSION FUNDS AND THE FINANCIAL CRISIS IN THE CEE COUNTRIES

    OpenAIRE

    Milos Marius Cristian; Milos Laura Raisa

    2012-01-01

    In this paper, the authors analyze the influence of the international financial crisis on the current architecture of the CEE pension systems and their further reforms. As a consequence of the financial crisis, the very fragile pension reform has been subject of debate in the new member states of European Union, given their deep recession and registered fiscal deficits. In many of the CEE countries, which have adopted/developed later the second pillar, the financial crisis has raised question...

  2. Networking in gendered regional development

    OpenAIRE

    Mona Hedfeldt; Gun Hedlund

    2011-01-01

    The present Swedish regionalization process creates a lack of institutionalisation called the "regional mess" (Stegmann McCallion 2008:587). According to a state investigation, Sweden has a "fragmented growth- and development policy as well as a weak and unclear regional organisation of society" (SOU 2007:10:18). Old and new structures are intertwined and the question emerges if this situation may create a space for women regarding regional development (Hedfeldt & Hedlund 2009). A multi-level...

  3. Regional Use of Social Networking Tools

    Science.gov (United States)

    2014-12-01

    4 2.1.7 Tumblr 4 2.1.8 Instagram 4 2.2 Local Social Networking Services 5 3 Regional Preferences for Social Networking Tools 6 4 African Region...YouTube 280 million Twitter 255 million LinkedIn n/a Pinterest n/a Tumblr 300 million Instagram 200 million The active-user base numbers...so this percentage may decline in the future. 2.1.8 Instagram Instagram , acquired by Facebook in 2012, is a mobile social networking service that

  4. Network Interactions in the Great Altai Region

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    Lev Aleksandrovich Korshunov

    2017-12-01

    Full Text Available To improve the efficiency and competitiveness of the regional economy, an effective interaction between educational institutions in the Great Altai region is needed. The innovation growth can enhancing this interaction. The article explores the state of network structures in the economy and higher education in the border territories of the countries of Great Altai. The authors propose an updated approach to the three-level classification of network interaction. We analyze growing influence of the countries with emerging economies. We define the factors that impede the more stable and multifaceted regional development of these countries. Further, the authors determine indicators of the higher education systems and cooperation systems at the university level between the Shanghai Cooperation Organization countries (SCO and BRICS countries, showing the international rankings of the universities in these countries. The teaching language is important to overcome the obstacles in the interregional cooperation. The authors specify the problems of the development of the universities of the SCO and BRICS countries as global educational networks. The research applies basic scientific logical methods of analysis and synthesis, induction and deduction, as well as the SWOT analysis method. We have indentified and analyzed the existing economic and educational relations. To promote the economic innovation development of the border territories of the Great Altai, we propose a model of regional network university. Modern universities function in a new economic environment. Thus, in a great extent, they form the technological and social aspects of this environment. Innovative network structures contribute to the formation of a new network institutional environment of the regional economy, which impacts the macro- and microeconomic performance of the region as a whole. The results of the research can help to optimize the regional economies of the border

  5. ASSESSING FDI DETERMINANTS IN CEE COUNTRIES DURING AND AFTER TRANSITION

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    POPOVICI OANA CRISTINA

    2015-07-01

    Full Text Available The aim of this paper is to identify if the drivers of inward foreign direct investments’ stocks in Central and Eastern European countries changed in the last 20 years, given two substantial economic evolutions encountered in this period: the transition process and the adhesion at the European Union. We are interested if foreign investors are attracted by the quality of institutions, the labour market or by the telecommunications infrastructure, expressed by 10 variables, in the 11 newest EU member states. Therefore, we use a fixed effects panel data approach during 1994-2013 which we apply in two stages. In the first stage, we find the variables that strongly influence FDI in each of the three groups of determinants. In the second stage, the panel data analysis is applied only for the variables previously find as significant for FDI, to which we add traditional FDI determinants, such as trade openness and GDP per capita. Also, the mentioned years are divided into two sub periods, the first representing the transition period (from 1994 until 2003 and the second one the years comprising the EU adhesion process (from 2004 until 2013. The results confirm that there are changes in FDI determinants in these countries. During 1994 to 2003, investors were mostly interested in the quality of institutions, the openness of the economies and the environments capable of growth, where the products can be sold. For the period starting with 2004, the analyzed countries are attractive mainly through their capacity of providing labour force with low costs and created resources, such as the development of the mobile networks. The results obtained are of particular importance for the public policy decision makers, as the changes in FDI determinants require the adaptation of public policies in the CEE countries in order to remain attractive for foreign investors.

  6. SRUNs - sustainable resource utilisation networks for regions

    International Nuclear Information System (INIS)

    Niemetz, N.

    2015-01-01

    Nowadays it cannot be denied that fossil resources will approach or over-run their maximum global production rate within the 21st century. In addition to this resource constraints climate change has to be considered in parallel, requiring a drastic reduction in carbon emissions. These two trends clearly show that a fundamental shift is needed within the next decades, from fossil towards renewable resources. This transition gives rise to a change in the supply chains: while fossil fuels are typically exploited from point sources, nearly all renewable resources depend, either directly or indirectly, on solar radiation and area is required for their provision. This poses a new challenge for political, economic and social actors who can decide about land use. Within this thesis a conceptual framework of so called SRUNs – sustainable resource utilisation networks for regions - is developed. Regions have a responsibility in providing goods and services for the society within sustainable networks and bring the spatial dimension into consideration as well. The way how these networks are constructed is described in detail covering spatial planning, the stakeholder process, drivers and barriers as well as elements and features for SRUNs. Using the Process Network Synthesis (PNS) as an optimisation tool, the economic optimum of a network can be found and different scenarios compared. To show the ecological pressure of an established network an evaluation with the Sustainable Process Index (SPI) is carried out. Both computer tools are described and their application is shown in several case studies which are the versatility of the methods in practical implementation and application. Decision support tools offer the possibility for regional actors to analyse their region and to get a feeling about SRUNs. These tools provide an insight into the necessary changes which are needed to manage the shift towards a low carbon and sustainable society. (author) [de

  7. Bribery environments and firm performance: evidence from CEE countries

    Czech Academy of Sciences Publication Activity Database

    Hanousek, Jan; Kochanova, A.

    2016-01-01

    Roč. 43, June (2016), s. 14-28 ISSN 0176-2680 R&D Projects: GA ČR(CZ) GBP402/12/G097 Institutional support: PRVOUK-P23 Keywords : bureaucratic corruption * firm performance * CEE countries Subject RIV: AH - Economics Impact factor: 1.098, year: 2016

  8. Bribery environments and firm performance: evidence from CEE countries

    Czech Academy of Sciences Publication Activity Database

    Hanousek, Jan; Kochanova, A.

    2016-01-01

    Roč. 43, June (2016), s. 14-28 ISSN 0176-2680 R&D Projects: GA ČR(CZ) GA14-31783S Institutional support: RVO:67985998 Keywords : bureaucratic corruption * firm performance * CEE countries Subject RIV: AH - Economics Impact factor: 1.098, year: 2016

  9. The Study of Institutional and Organisational Change in CEEs

    DEFF Research Database (Denmark)

    Lorentzen, Anne

    2002-01-01

    With a focus on innovation at enterprise level in CEE the first part of the paper research into the methodology of recent writings on innovation at enterprise level. The second part of the paper discuss alternative research strategies and various problems facing the researcher wanting to get...

  10. NETWORKING - THE URBAN AND REGIONAL DEVELOPMENT STRATEGY?

    Directory of Open Access Journals (Sweden)

    MARIA NOWICKA-SKOWRON

    2011-01-01

    Full Text Available The concept of innovations embraces everything that is connected with creation and application of new knowledge in order to win competitive advantage. A traditional approach applied by organizational and management sciences are not enough to explain and manage the development of enterprises as well as that of cities, regions and countries. According to a new approach to innovativeness, creation of innovations depends on a complex/system approach. A phenomenon of particular importance is the approach to network pro-innovation structures from the urban and regional point of view. What makes a network work is a mutual relation between actors who have same rights to access and participate in the network. The whole system must be perceived by every actor. Simultaneously, every actor is partially responsible for the whole. The nature of networking can be understood as a differentiated system of relations (particularly personal ones inside the network. Tolerance and trust are other foundations of information flow and information return.

  11. Creating a Regional Healthcare Network: People First.

    Science.gov (United States)

    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.

  12. Towards Regional Monetary Unions through Blockchain Networks

    OpenAIRE

    Hegadekatti, Kartik

    2017-01-01

    The concept of political and economic integration has not progressed beyond the concept of a Nation-state. The primary reason is the trust deficit among citizens in a supra-national entity. We can use Blockchain systems-which are trustless networks-to resolve this issue. We can float a Regional Cryptocurrency (RCC) which can bring about a successful Regional Monetary Unions (RMU) amongst a group of nations in a transparent manner. This paper deals with the idea of realizing a monetary uni...

  13. The CEE housing markets before, during and after the transition: an overview of property prices and home ownership rates

    Directory of Open Access Journals (Sweden)

    Elena IONASCU

    2017-10-01

    Full Text Available The purpose of this research is to investigate relevant economic aspects, which characterized housing markets from Central and Eastern European (CEE countries, to identify the factors which determine the house prices and to find the economic implications of property investments, under an international micro and macroeconomic environment. Methodological, the article uses the deduction and comparative analysis of collected statistical data, and strategic reforms in post-communist countries are qualitatively explored through content analysis. In the case of CEE region, fundamentals determinants, such as real income, real interest rate, demographic factors, play an extremely important role in explaining house price distortions. The principles of communist ideology added a special note in the evolution of prices, so the home ownership rate, the housing quality, the financial housing system, European integration represent a number of traditional factors with significant impact.

  14. Drawing road networks with focus regions.

    Science.gov (United States)

    Haunert, Jan-Henrik; Sering, Leon

    2011-12-01

    Mobile users of maps typically need detailed information about their surroundings plus some context information about remote places. In order to avoid that the map partly gets too dense, cartographers have designed mapping functions that enlarge a user-defined focus region--such functions are sometimes called fish-eye projections. The extra map space occupied by the enlarged focus region is compensated by distorting other parts of the map. We argue that, in a map showing a network of roads relevant to the user, distortion should preferably take place in those areas where the network is sparse. Therefore, we do not apply a predefined mapping function. Instead, we consider the road network as a graph whose edges are the road segments. We compute a new spatial mapping with a graph-based optimization approach, minimizing the square sum of distortions at edges. Our optimization method is based on a convex quadratic program (CQP); CQPs can be solved in polynomial time. Important requirements on the output map are expressed as linear inequalities. In particular, we show how to forbid edge crossings. We have implemented our method in a prototype tool. For instances of different sizes, our method generated output maps that were far less distorted than those generated with a predefined fish-eye projection. Future work is needed to automate the selection of roads relevant to the user. Furthermore, we aim at fast heuristics for application in real-time systems. © 2011 IEEE

  15. PROSPECTS OF REGIONAL NETWORK STRUCTURES IN THE SOUTHERN FEDERAL DISTRICT

    Directory of Open Access Journals (Sweden)

    I. V. Morozov

    2014-01-01

    Full Text Available The article reveals the possibility of the Southern Federal District to form regional network structures. The prospects for the formation of networks in the region in relation to the Olympic Winter Games Sochi 2014.

  16. Possibilities for Negotiated Agreements on Energy Efficiency in CEE Countries

    International Nuclear Information System (INIS)

    Stanic, Z.

    1997-01-01

    This article summarises the results of the four month study of the possibilities for using Negotiated Agreements on Energy Efficiency between Government and Industry as a tool for improving energy efficiency in the CEE industrial sector. Negotiated Agreements are becoming increasingly popular in many countries as a potential means of addressing environmental problems (SO 2 , NO x and CO 2 ) and resource depletion (the use of fossil fuels), without adversely affecting economic development. In the report the use of these instrument in a number of countries is considered and described in view of developing a framework for assessing the possibilities for such agreements in CEE countries. The framework was applied through a case-study of Poland and a quick 'scan' of Belarus, Croatia and Latvia. (author)

  17. NETWORKING - THE URBAN AND REGIONAL DEVELOPMENT STRATEGY?

    Directory of Open Access Journals (Sweden)

    PIOTR PACHURA

    2008-01-01

    Full Text Available It has become more and more common to claim that the concept of innovations embraces everything that is connected with creation and application of new knowledge in order to win competitive advantage. In this respect innovations concern as well, apart from technology, economy, society and culture. A traditional approach applied by organizational and management sciences is not enough to explain and manage the development of enterprises as well as that of cities, regions and countries. Simultaneously, according to a new approach to innovativeness, creation of innovations depends on a complex/system approach. The word complex is vital since this approach should embrace the complexity of innovative networks as well as complexity of relations of cooperation and the whole network environment together with social context.

  18. Market development in CEE between regulation and liberalisation

    International Nuclear Information System (INIS)

    Parthier, S.

    2002-01-01

    European energy markets are undergoing profound changes. These are characterised by privatisation, deregulation and intensified competition. The energy supply companies are tackling the task of adapting to a changing business environment which is calling for new strategies. This evolution affects also the energy markets of Central and Eastern Europe (CEE). The paper highlights the impact of this situation for the gas markets of CEE countries. It discusses three major aspects: the introduction of market prices as requirement for successful market development, strategies for gas companies to master the upcoming challenges and finally main factors influencing the development of the gas markets. Currently, different issues are coming up in CEE countries which will play a major role in the development of the gas industries of these countries. While preparing for entering the EU, CEE energy markets have to develop an appropriate regulatory framework for the time before and after the accession to the EU. This concerns especially the introduction of market prices. In order to tackle successfully the upcoming competition gas companies have to increase efficiency, particularly by increasing sales activities. Economically efficient capital investments are necessary to develop existing market potential. With the further increase of gas demand and cross-border gas trading, more gas will come from the western direction. This development will create good opportunities for successful cooperation between central and western European gas companies. Appropriate strategic investors can support market development while bringing in needed capital for the development of the infrastructure, know-how and expertise in sales and marketing activities and finally experience in facing inter fuel and gas to gas competition. (author)

  19. PENSION FUNDS AND THE FINANCIAL CRISIS IN THE CEE COUNTRIES

    Directory of Open Access Journals (Sweden)

    Milos Laura Raisa

    2012-12-01

    Full Text Available In this paper, the authors analyze the influence of the international financial crisis on the current architecture of the CEE pension systems and their further reforms. As a consequence of the financial crisis, the very fragile pension reform has been subject of debate in the new member states of European Union, given their deep recession and registered fiscal deficits. In many of the CEE countries, which have adopted/developed later the second pillar, the financial crisis has raised questions in what concerns the benefit of moving to a mixed pension system, in comparison with the former one, which relied exclusively on public pay-as-you-go schemes. The current literature analyses the situation in each of the CEE countries, but does not make an overall analysis of the situation of the CEE countries, member of the European Union. The authors show the short-term negative effects of the financial crisis on the pension reform in these countries, but also the longer run effects, on the continuing deteriorating finances of these pension systems, in the context of the aging of population and unsustainable pension schemes. Alongside reviewing and commenting the national authorities’ responses to the financial crisis, we are proposing also some measures meant to enhance the further pension system reform and to improve the performance of the private pension funds. Pensions have a long-time horizon and it would be very wrong to produce a reversal of the past reforms since the main problems of adequacy and sustainability remain vivid (demographic challenge and population aging. It is also true though that, while shifting from an exclusively public pay-as-you-go system towards a mixed pension system, especially in times of financial crisis, authorities must pay increased attention to the management and supervision of the DC pension plans, to the risk management standards and regulations of the private pension funds, alongside other measures meant to

  20. The effectiveness of policy interventions in CEE countries

    Directory of Open Access Journals (Sweden)

    Alin-Marius ANDRIEȘ

    2016-06-01

    Full Text Available This paper assesses the effectiveness of intervention measures adopted by central authorities during 2005-2012 in CEE. We investigate their impact on bank stability in 15 countries from CEE using bank-level data and OLS estimation method. The bank stability is proxied by the natural logarithm of the Z-Score and the non-performing loans to gross loans ratio. Empirical findings suggest that interest rates cuts, as well as domestic and foreign liquidity injections have a significant impact on bank stability in Emerging Europe. Moreover, their effectiveness differs according to several bank characteristics. Policy measures adopted by CEE countries significantly reduced the stability of domestic banks, but increased the stability of banks with a lower level of capitalization. The impact on the Z–score of banking system liquidity policy measures and the policy interest rates cuts is significantly lower in the case of domestic banks, amplified for less-capitalized banks (except for the category regarding banks’ solvency, while their impact on large banks remains statistically insignificant.

  1. On synchronized regions of discrete-time complex dynamical networks

    International Nuclear Information System (INIS)

    Duan Zhisheng; Chen Guanrong

    2011-01-01

    In this paper, the local synchronization of discrete-time complex networks is studied. First, it is shown that for any natural number n, there exists a discrete-time network which has at least left floor n/2 right floor +1 disconnected synchronized regions for local synchronization, which implies the possibility of intermittent synchronization behaviors. Different from the continuous-time networks, the existence of an unbounded synchronized region is impossible for discrete-time networks. The convexity of the synchronized regions is also characterized based on the stability of a class of matrix pencils, which is useful for enlarging the stability region so as to improve the network synchronizability.

  2. DIFFERENT DYNAMICS FOR SOME COUNTRIES OF CEE

    Directory of Open Access Journals (Sweden)

    Cristian SPIRIDON

    2015-04-01

    Full Text Available The study addresses the economic development of four European countries - Romania, Hungary, Czech Republic, and Poland beginning with 1990. It will be employed a descriptive analysis of their trade and growth dynamics. Emphasis will be placed on the determinants of economic growth of this group of countries in general and foreign trade in particular. The results indicate a heterogeneous dynamics of economic performances explained by specific characteristics and less by exogenous aspects related to trade partners and commercial structure, regional integration or foreign policy influenced by geographic proximity. In what concerns Romania, it appears to have been driven by a weaker engine of economic growth in the last two centuries.

  3. Regional and Inter-Regional Effects in Evolving Climate Networks

    Czech Academy of Sciences Publication Activity Database

    Hlinka, Jaroslav; Hartman, David; Jajcay, Nikola; Vejmelka, Martin; Donner, R.; Marwan, N.; Kurths, J.; Paluš, Milan

    2014-01-01

    Roč. 21, č. 2 (2014), s. 451-462 ISSN 1023-5809 R&D Projects: GA ČR GCP103/11/J068 Institutional support: RVO:67985807 Keywords : climate networks * evolving networks * principal component analysis * network connectivity * El Nino Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 0.987, year: 2014

  4. Regional Educational Laboratory Electronic Network Phase 2 System

    Science.gov (United States)

    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.

  5. Planning a regional palliative care services network.

    Science.gov (United States)

    Zalot, G N

    1989-03-01

    Table 1 summarizes the role of task force members and staff for each of the main tasks of the process of planning. The number of meetings required for each stage of the process is estimated in the last column. Planning for a regional palliative care services network is a process involving "hard" and "soft" elements. Hard elements involve the organizational structure, task force meetings, information/statistical data bases and the discrete tasks summarized in Table 1. These elements are well known, if nokt always well organized in practice. It is the "softer" elements that usually mean the difference between a dull bureaucratic exercise and a creative exchange of ideas and concepts with a vision for the future. Not to be underestimated is the critical role of group development in this process. The Task Force, supported by professional staff expertise and judgment, hopes to achieve a level of group development termed "synergy," that is, where the group outperforms (in terms of quality and quantity of work) its best individual member. Not a small feat, but critical to a successful planning exercise! Any regional planning implies a commitment to change. After all, new services will be added, some phased out, others revised, and others enhanced, resulting in changes in roles and responsibilities of providers. Change should not be greeted with disdain but viewed as a natural part of the environment in which we plan and provide services. A major advantage to the process of planning is that the level of support for change is already mobilized through the various stages of the process highlighted.(ABSTRACT TRUNCATED AT 250 WORDS)

  6. [Establishment of regional active neonatal transport network].

    Science.gov (United States)

    Kong, Xiang-yong; Gao, Xin; Yin, Xiao-juan; Hong, Xiao-yang; Fang, Huan-sheng; Wang, Zi-zhen; Li, Ai-hua; Luo, Fen-ping; Feng, Zhi-chun

    2010-01-01

    To evaluate the clinical function and significance of establishing a regional active neonatal transport network (ANTN) in Beijing. The authors retrospectively studied intensive care and the role of ANTN system in management of critically ill neonates and compared the outcome of newborn infants transported to our NICU before and after we established standardized NICU and ANTN system (phase 1: July 2004 to June 2006 vs phase 2: July 2006 to May 2008). The number of neonatal transport significantly increased from 587 during phase 1 to 2797 during phase 2. Success rate of transport and the total cure rate in phase 2 were 97.85% and 91.99% respectively, which were significantly higher than those in phase 1 (94.36% and 88.69%, respectively, P capacity of our NICU was enlarged following the development of ANTN. There are 200 beds for level 3 infants in phase 2, but there were only 20 beds in phase 1. Significantly less patients in the phase 2 had hypothermia, acidosis and the blood glucose instability than those in phase 1 (P transported to our NICU were higher in phase 2 compared with that in phase 1, especially infants whose gestational age was below 32 weeks. The proportions of asphyxia and respiratory distress syndrome were lower in phase 2 than that in phase 1, but the total cure rates of these two diseases had no significant changes between the two phases. The most important finding was that the improvement of outcome of premature infants and those with asphyxia and aspiration syndrome was noted following the development of ANTN. Establishing regional ANTN for a tertiary hospital is very important to elevate the total level in management of critically ill newborn infants. It plays a very important role in reducing mortality and improving total outcomes of newborn infants. There are still some problems remained to solve after four years practice in order to optimize the ANTN to meet needs of the development of neonatology.

  7. Energy use and related risk management problems in CEE countries

    International Nuclear Information System (INIS)

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

    2008-01-01

    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. (Authors)

  8. INSTITUTIONAL TRANSFORMATION IN COUNTRIES OF CEE: EXPERIENCE FOR UKRAINE

    Directory of Open Access Journals (Sweden)

    Galyna\tPOCHENCHUK

    2015-12-01

    Full Text Available In the article the experience of post-socialist countries of Central and Eastern Europe on the transformational changes that have been implemented in the political, socio-economic and ideological spheres is considered. The unprecedentness is determined by the scope and timing of reform. The author reviews the main conceptual models of realization of market transformations. The features of centrally-planned or command economy and main stages of market reforms with regard to processes that took place in the reformed countries are characterized. It is determined that the first phase concerned the dismantling of the previous social system and its institutions, so that it was not only started the formation of market structures and the introduction of democratic principles, but also significant negative trends in the economy and social sphere. The second stage of reforms in CEE related to the acquisition of the membership in Member States and relevant preparatory and adaptational measures. Critical importance of institutional reforms to establish an effective functioning of democratic market economy is explained. Based on the analysis of institutional transformations that took place in the reform process in Central and Eastern Europe the main institutional changes in various fields are summarized. With the experience of CEE countries the narrow places of transformation processes in Ukraine are identified and necessary directions for further transformation are reasonably grounded.

  9. Strengthening regional innovation through network-based innovation brokering

    OpenAIRE

    Svare, Helge; Gausdal, Anne Haugen

    2015-01-01

    The primary objective of this paper is to demonstrate how regional innovation system theory may be translated into manageable micro-level methods with the potential for strengthening the productive dynamics of a regional innovation system. The paper meets this objective by presenting network-based innovation brokering (NBIB), a practical method designed using insights from regional innovation system theory and trust theory. Five cases from two Norwegian regional innovation networks show that ...

  10. Regional Network on HIV/AIDS, Rural Livelihoods and Food ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Launched in 2001, the Regional Network on HIV/AIDS, Rural Livelihoods and Food Security (RENEWAL) is a growing network of networks made up of national food and nutrition organizations (public, private and nongovernmental) and partners in AIDS and public health. RENEWAL aims to understand and facilitate a ...

  11. Research Network on Regional Economic and Policy History

    NARCIS (Netherlands)

    Molema, A.M.; van der Zwet, Arno

    2017-01-01

    In the spring of 2017, the Research Network on Regional Economic and Policy History organised its inaugural workshop in London. The network aims to stimulate research in relation to regional economic development and planning challenges, by exploring the importance of historical approaches and

  12. MONETARY SHOCKS AND REAL EXCHANGE RATE FLUCTUATIONS IN CEE COUNTRIES

    Directory of Open Access Journals (Sweden)

    Nataša Erjavec

    2012-12-01

    Full Text Available The aim of this paper is to investigate the role of the exchange rate regime in absorbing macroeconomic shocks for a group of Central and East European countries (CEE. Whether the flexible exchange rate regime is beneficial for an economy depends on the capacity of the exchange rate to act as a shock absorber. An appropriate framework for assessing the role of the exchange rate is a structural vector autoregressive (SVAR model. Impact of two types of macroeconomic shocks is estimated: nominal and real. The shocks are identified on the basis of Blanchard-Quah long run identification scheme which means that the restrictions are imposed on the long run responses while the short run dynamics is kept unrestricted. The importance of nominal and real shocks is assessed using the variance decomposition and the impulse response functions.

  13. FEATURES OF THE PUBLIC SPENDING BY FUNCTION IN CEE COUNTRIES -

    Directory of Open Access Journals (Sweden)

    RĂDULESCU MAGDALENA

    2015-10-01

    Full Text Available In this paper we analyzed the development of the public expenses by functions in the last decade in some selected Central and Eastern European (CEE countries: Hungary, Poland, Czech Republic, Bulgaria and Romania. Based on this statistical analysis we can emphasize the main features of the budgetary policy in these countries during the crisis. We can underline the best measures of the budgetary policy adopted in these countries to fight the crisis effects. These countries haven’t adopted euro yet. After adopting euro, these countries won’t have an autonomous monetary policy and should base solely on their fiscal and budgetary policy when they will have to face some economic external shocks, just like they did during the current crisis. The fiscal and budgetary policy is facing political pressures in all countries

  14. What Drives Economic Growth in Some CEE Countries?

    Directory of Open Access Journals (Sweden)

    Simionescu Mihaela

    2018-03-01

    Full Text Available Considering the potential factors that might generate economic growth, a target for any economy, this paper identified some determinants of economic growth in the countries from Central and Eastern Europe (CEE countries that are member states of the European Union. The foreign direct investment was the most important determinant of economic growth in most of the countries (Bulgaria, Slovenia, Estonia, Hungary, Romania, Poland, Latvia, Lithuania in the period 2003-2016, according to Bayesian bridge regressions. The indicators related to the level and the quality of labour resources proved to be insignificant in explaining the economic growth in these countries. Moreover, in Croatia, Estonia, Latvia, Lithuania, and Poland, the government expenditure on education had a negative effect on economic growth.

  15. Regional and inter–regional effects in evolving climate network

    Czech Academy of Sciences Publication Activity Database

    Hlinka, Jaroslav; Hartman, David; Jajcay, Nikola; Vejmelka, Martin; Donner, R.; Marwan, N.; Kurths, J.; Paluš, Milan

    2014-01-01

    Roč. 16, - (2014), EGU2014-13557 ISSN 1607-7962. [EGU General Assembly /11./. 27.04.2014-02.05.2014, Vienna] Institutional support: RVO:67985807 Keywords : causality * climate * nonlinearity * transfer entropy * network * stability Subject RIV: BB - Applied Statistics, Operational Research

  16. Towards integrated crisis support of regional emergency networks.

    Science.gov (United States)

    Caro, D H

    1999-01-01

    Emergency and crisis management pose multidimensional information systems challenges for communities across North America. In the quest to reduce mortality and morbidity risks and to increase the level of crisis preparedness, regional emergency management networks have evolved. Integrated Crisis Support Systems (ICSS) are enabling information technologies that assist emergency managers by enhancing the ability to strategically manage and control these regional emergency networks efficiently and effectively. This article underscores the ICCS development, control and leadership issues and their promising implications for regional emergency management networks.

  17. Lifelong learning networks for sustainable regional development

    NARCIS (Netherlands)

    De Kraker, Joop; Cörvers, Ron; Ruelle, Christine; Valkering, Pieter

    2010-01-01

    Sustainable regional development is a participatory, multi-actor process, involving a diversity of societal stakeholders, administrators, policy makers, practitioners and scientific experts. In this process, mutual and collective learning plays a major role as participants have to exchange and

  18. METHODOLOGY OF RESEARCH AND DEVELOPMENT MANAGEMENT OF REGIONAL NETWORK ECONOMY

    Directory of Open Access Journals (Sweden)

    O.I. Botkin

    2007-06-01

    Full Text Available Information practically of all the Russian regions economy branches and development by managing subjects is information − communicative the Internet technologies render huge influence on economic attitudes development in the environment of regional business: there are new forms of interaction of managing subjects and change is information − organizational structures of regional business management. Integrated image of the set forth above innovations is the regional network economy representing the interactive environment in which on high speed and with minimal transaction (R.H.Coase’s costs are performed social economic and commodity monetary attitudes between managing subjects of region with use of Internet global network interactive opportunities. The urgency of the regional network economy phenomenon research, first of all, is caused by necessity of a substantiation of regional network economy methodology development and management mechanisms development by its infrastructure with the purpose of regional business efficiency increase. In our opinion, the decision of these problems will be the defining factor of effective economic development maintenance and russian regions economy growth in the near future.

  19. Romania, Strategic Partner in China-CEE Relations

    Directory of Open Access Journals (Sweden)

    SARMIZA PENCEA

    2015-05-01

    Full Text Available Romania and China have established diplomatic relations 65 years ago and have a long track of fruitful economic, technologic, scientific and cultural exchanges and cooperation experiences all along this time lapse. During the last few decades they both have undergone major transformations, having, on the one hand, their economic fundamentals substantially changed, and, on the other hand, facing a new international environment, in which their positioning, relations, alliances and integration into the world economy are substantially different. The present paper looks at this bilateral relationship against the backdrop of both the new 16+1 platform and the larger EU-China relations, trying to identify the comparative advantages, complementarities and commonalities which could create the premises for a new, reinforced China-Romania trade and investment relationship. The focus lays on analyzing the bilateral trade, both in terms of volumes and structure, as well as on dissecting the Chinese investment presence in Romania as compared to that in other CEE countries, leading to the conclusion that there is a lot of untapped potential, but also a favourable context to change this state of facts.

  20. Knowledge networks: socio-environmental innovation regional systems

    Directory of Open Access Journals (Sweden)

    Marcelo Macedo Valinhas

    2010-05-01

    Full Text Available This work aims to evaluate knowledge networks by analyzing actions executed by two socio-environmental projects designed to improve life of fishermen communities in Macaé, Rio de Janeiro, Brazil. The network structure was studied in terms of institutional representatives, regional character, types of network, flow and kinds of knowledge, formal and informal network aspects, and development of technical confidence. Despite the need for improving the network connectivity in the two evaluated projects, and adapting them to emphasize decentralization, multi-leadership, transparence, cooperation and interdependence principles, the studied network has provided an increase in the knowledge flow of participants and closer contact among technical staff, researches and social segments badly affected by the extremely accelerated urban growth resulting from local oil industry activities.

  1. Networking - The Urban and Regional Development Strategy?

    OpenAIRE

    Maria Nowicka-Skowron; Piotr Pachura

    2008-01-01

    It has become more and more common to claim that the concept of innovations embraces everything that is connected with creation and application of new knowledge in order to win competitive advantage. In this respect innovations concern as well, apart from technology, economy, society and culture. A traditional approach applied by organizational and management sciences is not enough to explain and manage the development of enterprises as well as that of cities, regions and countries. Simultane...

  2. NETWORKING - THE URBAN AND REGIONAL DEVELOPMENT STRATEGY?

    OpenAIRE

    MARIA NOWICKA-SKOWRON; DEJAN ERIĆ; IVONNE GRABARA; IOAN COSMESCU

    2011-01-01

    The concept of innovations embraces everything that is connected with creation and application of new knowledge in order to win competitive advantage. A traditional approach applied by organizational and management sciences are not enough to explain and manage the development of enterprises as well as that of cities, regions and countries. According to a new approach to innovativeness, creation of innovations depends on a complex/system approach. A phenomenon of particular importance is the a...

  3. Kaliningrad regional district heating network 2004-2006. Final report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2006-06-15

    This report concerns: Kaliningrad Regional District Heating Network project which was implemented from 2004 to 2006. The task of the project was to establish and operate an association for district heating companies in the region in order to transfer and distribute district heating know-how to the sector and through activities strengthen the sector. The long term aim was to contribute to establishment of an association to continue as a real association for the heat supply companies in the region. (au)

  4. Settlement Networks in Polish Spatial Development Regional Plans

    Science.gov (United States)

    Sołtys, Jacek

    2017-10-01

    In 1999, ten years after the great political changes in Poland, 16 self-governed regions (in Polish: voivodeship) were created. According to Polish law, voivodeship spatial development plans, or regional plans in short, determine basic elements of the settlement network. No detailed regulations indicate the specific elements of the settlement network or what features of these elements should be determined. For this reason, centres as elements of the settlement network are variously named in different regions and take the form of various models. The purposes of the research described in this article are: (1) recognition and systematization of settlement network models determined in regional plans; and (2) assessment of the readability of determination in planning and its usefulness in the practice of regional policy. Six models of settlement networks in regional plans have been identified and classified into types and sub-types. Names of specific levels of centres indicate that they were classified according to two criteria: (1) level of services, which concerns only 5 voivodships; and (2) importance in development, which concerns the 11 other voivodships. The hierarchical model referring to the importance of development is less understandable than the one related to services. In the text of most plans, centres of services and centres of development are treated independently from their names. In some plans the functional types of towns and cities are indicated. In some voivodships, specifications in the plan text are too general and seem to be rather useless in the practice of regional policy. The author suggests that regional plans should determine two kinds of centres: hierarchical service centres and non-hierarchical centres of development. These centres should be further distinguished according to: (1) their role in the activation of surroundings; (2) their level of development and the necessity of action for their development; and (3) the types of actions

  5. Partner Capabilities and Alliance Time Frame: An Analysis of International Strategic Alliances from the CEE

    Directory of Open Access Journals (Sweden)

    S. Hossein Jalali

    2017-01-01

    Full Text Available Partner selecton is one of the most discussed issues in strategic alliances literature. However, the majority of research has typically focused on generic partner characteristcs and presented conceptual models for alliance partner selecton, addressing clan image but only limited pieces of the partner selecton puzzle. Rooted in the resource-based view, this paper suggests that partner selecton is contngent upon the intended tme frame of strategic alliances and presents a new and intensive conceptual framework that examines the appropriate partner capability for strategic alliances, in the case of short/medium-term alliances and long-term ones. Based on empirical evidences from 736 alliances in the CEE region, the fndings stress the differences between varied partner capabilites in short/medium-term and long-term alliances. Accordingly, the signifcance of technological capability increases with the number of year’s alliances endured. Moreover, the importance of market capability decreases signifcantly when alliances last for a longer tme frame.

  6. Building skills for sustainability: a role for regional research networks

    Directory of Open Access Journals (Sweden)

    Pranab Mukhopadhyay

    2014-12-01

    Full Text Available In South Asia, as local and regional environment problems grow, societal demand for new sustainability knowledge has outpaced its supply by traditional institutions and created a niche for research networks and think tanks. We discuss the role of networks in producing knowledge by using the South Asian Network for Development and Environmental Economics (SANDEE as a case study. We argue that geographic research networks can contribute to the growth of sustainability knowledge through (1 knowledge transfer, (2 knowledge sharing, and (3 knowledge deepening. By analyzing qualitative and quantitative information, we showed that although SANDEE participants gained significant intangible advantages from the network, there was also a noted tangible gain is in terms of a higher international publication rate. The SANDEE experience also suggests that policy outcomes are more likely to emerge from the buildup of human capital rather than from direct research interventions.

  7. Networked Predictive Control for Nonlinear Systems With Arbitrary Region Quantizers.

    Science.gov (United States)

    Yang, Hongjiu; Xu, Yang; Xia, Yuanqing; Zhang, Jinhui

    2017-04-06

    In this paper, networked predictive control is investigated for planar nonlinear systems with quantization by an extended state observer (ESO). The ESO is used not only to deal with nonlinear terms but also to generate predictive states for dealing with network-induced delays. Two arbitrary region quantizers are applied to take effective values of signals in forward channel and feedback channel, respectively. Based on a "zoom" strategy, sufficient conditions are given to guarantee stabilization of the closed-loop networked control system with quantization. A simulation example is proposed to exhibit advantages and availability of the results.

  8. Analyzing Systemic Risk in CEE Markets in 2007–2008 Financial Crisis

    Directory of Open Access Journals (Sweden)

    Renata Karkowska

    2013-01-01

    Full Text Available The purpose of the article is to attempt to answer the question ofhow the crisis affected the banking systems of cee countries, withspecial emphasis on liquidity risk. It seems that this problem hasparticularly affected emerging economies. First, the liquidity riskbegan to exert considerable influence on the functioning bankingsystem and, indirectly, the whole economy. In this paper authorwanted to answer the following questions: What are the channelsof transmission systemic risk on cee markets? What is the role ofbig world banking groups in these financial systems? This conceptis applied to ten Central Eastern European countries, whichexperienced a financial crisis. In the research author hypothesizedabout interconnectedness of liquidity in financial systemsand solvency problems of big banking groups operating in CEE.

  9. CORRELATION BETWEEN PUBLIC FUNDING AND NON-FERROUS INDUSTRY. EVIDENCE FROM CEE AND ROMANIA

    Directory of Open Access Journals (Sweden)

    Brîndusa COVACI

    2016-12-01

    Full Text Available The paper aims at presenting important approaches of the influence of the public funding to industry, especially non-ferrous, in the Countries from Eastern Europe (CEE and Romania. Studies presented in the paper show that the industry funding had been sustained by the European Commission in the community area, but particularly in CEE area. The impact of industry funding will never be exactly measured, but important data can be presented in order to foresee the future development of the European industry. Specific for non-ferrous industry, in the article there are presented important items, as turnover, value added cost, exports, production, which are correlated to EU funds absorption in order to measure the efficiency of the public funding for 2007-2013 period (national and EU funds and the welfare of the CEE and Romanian non-ferrous sector.

  10. RANKING ENTERPRISES IN TERMS OF COMPETENCES INSIDE REGIONAL PRODUCTION NETWORK

    Directory of Open Access Journals (Sweden)

    Marko Mladineo

    2013-02-01

    Full Text Available Today's economic crisis has led to bankruptcy of many successful, but usually large-sized enterprises. This brought into question the future of large-sized enterprises. However, the only alternative to largesized enterprises (LEs is networking of small and medium-sized enterprises (SMEs into Regional Production Networks (RPNet. RPNet is non-hierarchical organizational form in which every SME is autonomous. Hence, every SME of production network is capable and wiling to be part of special cooperation inside network called Virtual Enterprise (VE. For each new product a new virtual enterprise is formed from different SMEs. The question is: which SMEs will be part of new virtual enterprise? If it is possible to evaluate SME's competences, it is also possible to rank SMEs. Ranking of SMEs according to technical, organizational and human competences is multi-criteria decision analysis (MCDA problem. So, in this paper PROMETHEE method is selected to perform a ranking of SMEs.

  11. [Regional ecological planning and ecological network construction: a case study of "Ji Triangle" Region].

    Science.gov (United States)

    Li, Bo; Han, Zeng-Lin; Tong, Lian-Jun

    2009-05-01

    By the methods of in situ investigation and regional ecological planning, the present ecological environment, ecosystem vulnerability, and ecological environment sensitivity in "Ji Triangle" Region were analyzed, and the ecological network of the study area was constructed. According to the ecological resources abundance degree, ecological recovery, farmland windbreak system, environmental carrying capacity, forestry foundation, and ecosystem integrity, the study area was classified into three regional ecological function ecosystems, i. e., east low hill ecosystem, middle plain ecosystem, and west plain wetland ecosystem. On the basis of marking regional ecological nodes, the regional ecological corridor (Haerbin-Dalian regional axis, Changchun-Jilin, Changchun-Songyuan, Jilin-Songyuan, Jilin-Siping, and Songyuan-Siping transportation corridor) and regional ecological network (one ring, three links, and three belts) were constructed. Taking the requests of regional ecological security into consideration, the ecological environment security system of "Ji Triangle" Region, including regional ecological conservation district, regional ecological restored district, and regional ecological management district, was built.

  12. On regional innovator networks as hubs for innovative ventures

    DEFF Research Database (Denmark)

    Cantner, Uwe; Wolf, Tina

    2016-01-01

    this approach to the regional innovator network, promoting region-specific knowledge spillovers. Two data bases are applied. First, patent data delivers the innovator network for Thuringia. The second data base contains firm specific information on innovative ventures founded in Thuringia in the period between......At least since Schumpeter published his work ‘The Theory of Economic Development’ (1912), a wide body of literature has focused on the evolutionary process behind firm growth and survival. Recently a growing interest is devoted to the variable ‘location’ as a critical factor, shaping firm...... performance. However, less attention has been paid to the region-specific characteristics that may play a relevant role in determining the growth and survival of a firm. Some works see university-based knowledge spillovers as one such factor (Audretsch and Lehmann 2005, Cassia et al. 2009). This paper extends...

  13. How do Regional Headquarters Influence Corporate Decisions in Networked MNCs?

    DEFF Research Database (Denmark)

    Mahnke, Volker; Ambos, Björn; Nell, Phillip Christopher

    2012-01-01

    In networked MNCs where knowledge and power are distributed, corporate strategy processes benefit from input arising from many different levels of the organization. Recently, the regional (i.e., supra-national) level has been emphasized as an important additional source of knowledge and input......, and as a bridge between local subsidiaries and global corporate headquarters. This paper builds theory on the antecedents to regional headquarters' influence on corporate decisions (i.e., organizational, behavioral, and motivational). Based on a survey of regional headquarters in Europe and their relations...... with MNC headquarters, we provide empirical evidence that a regional headquarters' autonomy and signaling behavior have significant effects on its influence on corporate strategy. Furthermore, we find support for our hypothesis that the regional headquarters' charter moderates such bottom–up influence....

  14. Operations plan for the Regional Seismic Test Network

    International Nuclear Information System (INIS)

    1981-01-01

    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

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

    OpenAIRE

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

    2015-01-01

    State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN 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 simultan...

  16. Earnings disparities and income inequality in CEE countries: an analysis of development and relationships

    Czech Academy of Sciences Publication Activity Database

    Večerník, Jiří

    2012-01-01

    Roč. 50, č. 3 (2012), s. 27-48 ISSN 0012-8775 R&D Projects: GA ČR(CZ) GAP404/11/1521 Institutional support: RVO:68378025 Keywords : earnings disparities * income inequality * CEE countries Subject RIV: AH - Economics Impact factor: 0.211, year: 2012

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

    Science.gov (United States)

    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,…

  18. Networks of global bird invasion altered by regional trade ban.

    Science.gov (United States)

    Reino, Luís; Figueira, Rui; Beja, Pedro; Araújo, Miguel B; Capinha, César; Strubbe, Diederik

    2017-11-01

    Wildlife trade is a major pathway for introduction of invasive species worldwide. However, how exactly wildlife trade influences invasion risk, beyond the transportation of individuals to novel areas, remains unknown. We analyze the global trade network of wild-caught birds from 1995 to 2011 as reported by CITES (Convention on International Trade in Endangered Species of Wild Fauna and Flora). We found that before the European Union ban on imports of wild-caught birds, declared in 2005, invasion risk was closely associated with numbers of imported birds, diversity of import sources, and degree of network centrality of importer countries. After the ban, fluxes of global bird trade declined sharply. However, new trade routes emerged, primarily toward the Nearctic, Afrotropical, and Indo-Malay regions. Although regional bans can curtail invasion risk globally, to be fully effective and prevent rerouting of trade flows, bans should be global.

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

    Science.gov (United States)

    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.

  20. Application of computer graphics to regional trunk road network planning

    OpenAIRE

    M Odani

    1992-01-01

    The author attempts to demonstrate the use of computer graphics to provide an efficient and effective visual presentation method for tranbsprtation planning. First, the basic concept of the visual presentation method of planning is explained and the required hardware is introduced. The information presented graphically by the proposed method is then shown for each step in the process of regional trunk road network planning in the Keihanshin Metropolitan Area of Japan: analysis of the traffic-...

  1. Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Yaqiang Zhang

    2018-01-01

    Full Text Available Industrial Internet of Things has been widely used to facilitate disaster monitoring applications, such as liquid leakage and toxic gas detection. Since disasters are usually harmful to the environment, detecting accurate boundary regions for continuous objects in an energy-efficient and timely fashion is a long-standing research challenge. This article proposes a novel mechanism for continuous object boundary region detection in a fog computing environment, where sensing holes may exist in the deployed network region. Leveraging sensory data that have been gathered, interpolation algorithms have been applied to estimate sensory data at certain geographical locations, in order to estimate a more accurate boundary line. To examine whether estimated sensory data reflect that fact, mobile sensors are adopted to traverse these locations for gathering their sensory data, and the boundary region is calibrated accordingly. Experimental evaluation shows that this technique can generate a precise object boundary region with certain time constraints, and the network lifetime can be prolonged significantly.

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

    Science.gov (United States)

    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

  3. Collaboration: the Key to Establishing Community Networks in Regional Australia

    Directory of Open Access Journals (Sweden)

    Wal Taylor

    2002-01-01

    Full Text Available Despite the promise of community involvement, cohesion and empowerment offered by local community networks (CN using Internet Technologies, few communities in regional Australia have been able to demonstrate sustainable and vibrant CN which demonstrate increased social, cultural or self-reliance capital. The Faculty of Informatics and Communication at Central Queensland University (CQU and a local council have established a formal alliance to establish the COIN (Community Informatics projects to research issues around this topic. This paper presents the initial findings from this work and draws conclusions for possible comparison with other international experience. The research focuses attention on community understanding and cohesion, local government priorities in a community with relatively low diffusion of the Internet and the competing demands in a regional university between traditional service provision in an increasingly competitive market and the needs of establishing outreach research for altruistic, industry establishment and commercial rationale.

  4. Trans-European transport networks influence on the regional development and urban systems: Serbian experience

    OpenAIRE

    Maksin-Mićić Marija

    2004-01-01

    The trans-European transport network has different effects at macro-regional, mezzo-regional and micro-regional level, and on urban systems development, and its effectiveness rises at the lower regional levels. Possible approaches to the trans-European transport network impact and effect survey and policy options have been pointed out. The importance of increased accessibility and mobility for regional expansion and for more balanced and polycentric system of city networks has been underlined...

  5. The Attractiveness of CEE Countries For FDI. A Public Policy Approach Using the Topsis Method

    Directory of Open Access Journals (Sweden)

    Andreea PAUL

    2014-06-01

    Full Text Available This paper analyzes the location decision for foreign direct investments (FDI in Central and Eastern European (CEE countries based on the attractiveness of policies most influenced by public officials. Our assessment of the FDI inflows in a country is based on four pillars: infrastructure, quality of institutions, labor market and taxes. The attraction degree of the CEE countries in 2007 and 2010 is calculated using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS method, a tool usually used for decision-making issues. The empirical result indicates that Estonia is the most attractive country for investments (as regards the public policy approach. Globally, the paper establishes the state’s role in attracting FDI and identifies whether there is room for further improvement on the public policy side.

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

    Science.gov (United States)

    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.

  7. Port Regionalization and Landlocked Hinterland: The Czech Republic

    Directory of Open Access Journals (Sweden)

    Jean Paul Rodrigue

    2016-09-01

    Full Text Available The expansion of the European Union (EU and economic growth have propelled the development of intermodal transportation and logistics activities in Central and Eastern Europe (CEE. Yet, the inland location of most CEE economies requires improved connectivity to port terminals on both the Atlantic/Baltic and Mediterranean/Black Sea ranges. The paper provides a broader research perspective on inland logistics platforms focusing on the CEE region, particularly as it concerns the role of the public sector in port hinterland infrastructure development. The paper identifies the current bottlenecks in logistics activity in regard to the whole range of the national transport chains. A dual regionalization process is taking place between the ports of the Northern and Mediterranean ranges and that the Northern Range is more effective at servicing the CEE region, including the Czech Republic, in spite of the proximity advantage of Mediterranean ports.

  8. Measuring Nominal and Real Convergence of Selected CEE Countries by the Taylor Rule

    Directory of Open Access Journals (Sweden)

    Böing Tobias

    2016-12-01

    Full Text Available We propose using a simple Taylor rule to evaluate business cycle convergence of the Czech Republic, Hungary, and Poland with the Eurozone. Our findings indicate an ongoing convergence of those CEE countries to the Eurozone, but with instabilities and heterogeneity between the countries. Especially Poland has shown a high degree of convergence in recent years. But there are still relevant differences in Taylor rates of each country to the Eurozone of about two percentage points.

  9. Axial Crush of the Tubular Structure with Various Cee-Shaped Cross-Sections

    International Nuclear Information System (INIS)

    Afshar, Reza; Ali, Aidy; Sahari, B B; Bayat, M

    2011-01-01

    Tubular structure with various Cee-shaped cross sections is numerically investigated in order to find the centre of gravity (COG) under axial crush by using program code of ANSYS/LS-DYNA. A subroutine is developed using this code to obtain the COG of deformed shape, during and after crush deformation. The effect of wall thickness of the structure on displacement of COG is also studied. Subsequently, the effect of opening angle of Cee become more prominent as the wall thickness of the structure decreases and as the thickness increases, displacement of the COG in crush direction almost stabilizes for all opening angle of Cee in the range of (10 0 - 90 0 ). Furthermore, Variation of I yy of structure with thicker wall for different cases of applied weight is approximately identical. The value of mass moment of inertia with respect to X and Z axes through the model COG (I zx ) in comparison with I yy can be neglected in the case of axial crush along Y direction.

  10. The Raam regional soil moisture monitoring network in the Netherlands

    Directory of Open Access Journals (Sweden)

    H.-J. F. Benninga

    2018-01-01

    Full Text Available We have established a soil moisture profile monitoring network in the Raam region in the Netherlands. This region faces water shortages during summers and excess of water during winters and after extreme precipitation events. Water management can benefit from reliable information on the soil water availability and water storing capacity in the unsaturated zone. In situ measurements provide a direct source of information on which water managers can base their decisions. Moreover, these measurements are commonly used as a reference for the calibration and validation of soil moisture content products derived from earth observations or obtained by model simulations. Distributed over the Raam region, we have equipped 14 agricultural fields and 1 natural grass field with soil moisture and soil temperature monitoring instrumentation, consisting of Decagon 5TM sensors installed at depths of 5, 10, 20, 40 and 80 cm. In total, 12 stations are located within the Raam catchment (catchment area of 223 km2, and 5 of these stations are located within the closed sub-catchment Hooge Raam (catchment area of 41 km2. Soil-specific calibration functions that have been developed for the 5TM sensors under laboratory conditions lead to an accuracy of 0.02 m3 m−3. The first set of measurements has been retrieved for the period 5 April 2016–4 April 2017. In this paper, we describe the Raam monitoring network and instrumentation, the soil-specific calibration of the sensors, the first year of measurements, and additional measurements (soil temperature, phreatic groundwater levels and meteorological data and information (elevation, soil physical characteristics, land cover and a geohydrological model available for performing scientific research. The data are available at https://doi.org/10.4121/uuid:dc364e97-d44a-403f-82a7-121902deeb56.

  11. The Raam regional soil moisture monitoring network in the Netherlands

    Science.gov (United States)

    Benninga, Harm-Jan F.; Carranza, Coleen D. U.; Pezij, Michiel; van Santen, Pim; van der Ploeg, Martine J.; Augustijn, Denie C. M.; van der Velde, Rogier

    2018-01-01

    We have established a soil moisture profile monitoring network in the Raam region in the Netherlands. This region faces water shortages during summers and excess of water during winters and after extreme precipitation events. Water management can benefit from reliable information on the soil water availability and water storing capacity in the unsaturated zone. In situ measurements provide a direct source of information on which water managers can base their decisions. Moreover, these measurements are commonly used as a reference for the calibration and validation of soil moisture content products derived from earth observations or obtained by model simulations. Distributed over the Raam region, we have equipped 14 agricultural fields and 1 natural grass field with soil moisture and soil temperature monitoring instrumentation, consisting of Decagon 5TM sensors installed at depths of 5, 10, 20, 40 and 80 cm. In total, 12 stations are located within the Raam catchment (catchment area of 223 km2), and 5 of these stations are located within the closed sub-catchment Hooge Raam (catchment area of 41 km2). Soil-specific calibration functions that have been developed for the 5TM sensors under laboratory conditions lead to an accuracy of 0.02 m3 m-3. The first set of measurements has been retrieved for the period 5 April 2016-4 April 2017. In this paper, we describe the Raam monitoring network and instrumentation, the soil-specific calibration of the sensors, the first year of measurements, and additional measurements (soil temperature, phreatic groundwater levels and meteorological data) and information (elevation, soil physical characteristics, land cover and a geohydrological model) available for performing scientific research. The data are available at https://doi.org/10.4121/uuid:dc364e97-d44a-403f-82a7-121902deeb56.

  12. Regional scale analysis of the altimetric stream network evolution

    Directory of Open Access Journals (Sweden)

    T. Ghizzoni

    2006-01-01

    Full Text Available Floods result from the limited carrying capacity of stream channels when compared to the discharge peak value. The transit of flood waves - with the associated erosion and sedimentation processes - often modifies local stream geometry. In some cases this results in a reduction of the stream carrying capacity, and consequently in an enhancement of the flooding risk. A mathematical model for the prediction of potential altimetric stream network evolution due to erosion and sedimentation processes is here formalized. It works at the regional scale, identifying the tendency of river segments to sedimentation, stability, or erosion. The model builds on geomorphologic concepts, and derives its parameters from extensive surveys. As a case study, tendencies of rivers pertaining to the Valle d'Aosta region are analyzed. Some validation is provided both at regional and local scales of analysis. Local validation is performed both through a mathematical model able to simulate the temporal evolution of the stream profile, and through comparison of the prediction with ante and post-event river surveys, where available. Overall results are strongly encouraging. Possible use of the information derived from the model in the context of flood and landslide hazard mitigation is briefly discussed.

  13. Construction of transport and energy networks in the Baltic region as an impetus for regional development

    Directory of Open Access Journals (Sweden)

    Kuznetsov Alexey

    2013-11-01

    Full Text Available In light of some new aspects of the EU functioning, particularly, the recovery from the 2008-2009 global crisis, transportation and energy development projects are coming to the forefront in the Baltic region. At the same time, there is a need to consider EU’s recent adoption of a common seven-year financial program (2014—2020, which serves, in effect, as the Union’s budget. Given that, one may conclude that the countries of the Baltic region are entering a new stage of development. We look at the role and significance of transportation and energy projects as an instrument of economic development. Having studied the largest transport and energy projects in the Baltic region, we were able to show that the new infrastructure networks supported the investment expansion of Swedish and Finnish companies into the post-communist countries of the Baltic Region. Which, in its turn, allowed the Nordic investors to expand their domestic markets. The analysis also shows that the experience of private businesses proves a recent theoretical concept — the pyramid of regional development factors. As a result, the actual regional policy of the EU cannot be considered in the narrow sense of the Cohesion Policy alone.

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

    International Nuclear Information System (INIS)

    Tang, Longkun; Wu, Xiaoqun; Lu, Jun-an; Lü, Jinhu

    2015-01-01

    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

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

    Science.gov (United States)

    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. © 2011 Blackwell Publishing Ltd.

  16. Guidance system monitors regional link network; Leitsystem ueberwacht regionales Verbundleitungsnetz

    Energy Technology Data Exchange (ETDEWEB)

    Gorgas, O. [IDS GmbH, Ettlingen (Germany)

    2002-07-01

    The Harzwasserwerke GmbH, as a regional supplier in Lower Saxony, treat drinking water in dam and ground water works. An approximately 500 km long supply network supplies water to around 70 towns and communities in Northern Germany. This means around one and a half million people are supplied with the life elixir in renowned towns such as Hannover, Wolfsburg (with the Volkswagen AG), Braunschweig, Hildesheim, Goettingen and Bremen. A new network guidance system has been installed to monitor the pipeline system and the feed to water works and feed in and out of high-level reservoirs. (orig.) [German] Die Harzwasserwerke GmbH als Regionalversorger in Niedersachsen bereiten Trinkwasser in Talsperren- und Grundwasserwerken auf. Ueber ein rund 500 km langes Leitungsnetz werden im Norden Deutschlands etwa 70 Staedte und Gemeinden versorgt. Damit werden rund eineinhalb Millionen Menschen mit dem Lebensmittel Nummer Eins, unter anderem in namhaften Staedten wie Hannover, Wolfsburg mit der Volkswagen AG, Braunschweig, Hildesheim, Goettingen und Bremen beliefert. Zur Ueberwachung des Leitungssystems und der Einspeisung an Wasserwerken bzw. Ein- und Ausspeisungen an Hochbehaeltern wurde ein neues Netzleitsystem installiert. (orig.)

  17. Balancing Relations and Results in Regional Networks of Public-Policy Implementation

    NARCIS (Netherlands)

    Klaster, E.; Wilderom, Celeste P.M.; Muntslag, Dennis R.

    2017-01-01

    Regional networks have become popular routes for central governments to translate national ambitions into regional policies and actions; but these networks face challenges, having to balance between the dual objectives of obtaining short-term goals and establishing enduring network relations. This

  18. Qualitative assessment of the CEE arrangement - Second period 2011-2013. The Certificates of Energy Savings: an arrangement which catalyses decision by households for energy saving works. Synthesis

    International Nuclear Information System (INIS)

    2013-04-01

    After previous assessments on energy savings, costs, and potentials, this publication reports a qualitative assessment of the CEE arrangement (certificate of energy savings). The objective is to get a better insight into decision making by the final consumer. After a brief presentation of the survey methodology, the report describes the CEEs as a catalyst for higher performance works. The survey highlighted the incentive effect of the CEE premium, and the lever effect of advice and information. The report also outlines that the CEE is an additional tool to other public aids. It indicates that works are highly motivated by a search for energy savings, and are actually efficient to meet this objective

  19. 76 FR 38124 - Applications for New Awards; Americans With Disabilities Act (ADA) National Network Regional...

    Science.gov (United States)

    2011-06-29

    ... DEPARTMENT OF EDUCATION Applications for New Awards; Americans With Disabilities Act (ADA) National Network Regional Centers and ADA National Network Collaborative Research Projects AGENCY: Office... Rehabilitation Research Projects and Centers Program--Disability Rehabilitation Research Projects (DRRP)--ADA...

  20. Structure and Discourse: Mapping the Networked Public Sphere in the Arab Region

    OpenAIRE

    Faris, Robert M; Kelly, John; Noman, Helmi; Othman, Dalia

    2016-01-01

    In this study, we employ social network mapping techniques to analyze the shape and structure of the networked public sphere in the Arab region. The analysis is based on four distinct views of digitally connected communities: a regional map of the blogosphere and maps of Twitter networks in three countries: Egypt, Tunisia, and Bahrain. This media ecology mapping across these different platforms and regions offers a detailed view of social, cultural, religious, and political expression through...

  1. Network Screening for Smarter Road Sites: A Regional Case

    Directory of Open Access Journals (Sweden)

    Attila Grieco

    2014-05-01

    Full Text Available Road safety has been a main societal and policy issue in many European countries since the early years of last decade. After the 2000-2010 Road Safety Programme launched by the European Commission, in 2011 the Commission adopted the new 2020 programme, even more demanding than the previous. As the societal consequences of road casualties are increasingly perceived as a core dimension of smart mobility, road safety system is now facing new challenges. Current mobility shifts to softer and greener transportation means raise new safety concerns for an increasingly larger share of vulnerable road users. The need to integrate road safety requirements with other residential, mobility, and environmental policies calls for a more detailed understanding of the phenomenon at different spatial levels and with different observation lenses. The pilot study described in this paper is a contribution to this end. It aims at identifying the accident prone sites of the regional road network to help prioritizing safety interventions, by the regional administration having road planning responsibilities. The study develops a screening approach to select hazardous road locations, outside urban premises, from the Piedmont provincial and state roads. The most recent data for the 2010-2012 years were considered, drawn from the ISTAT road accident database, managed by the CMRSS. The procedure consists of the following steps: identification of the elementary road sections to be screened, through a GIS analysis; definition of the screening groups (road sections have been subdivided in 4 length classes; definition of the selection criteria, with two severity thresholds based on the crash density; classification of the elementary road sections by severity thresholds.

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

    Science.gov (United States)

    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.

  3. Evaluation of ethical position in eight CEE countries and Finland – results of an empirical research

    Directory of Open Access Journals (Sweden)

    József Poór

    2016-12-01

    Full Text Available The objective of this paper is to explore the ethical perspectives of respondents in Hungary, Slovakia, Romania, Serbia, Croatia, the Czech Republic, Poland, Estonia and Finland, and, to this end, to show the similarities and differences among these nine, mainly Central and Eastern European countries. Their ethical positions are defined by examining the related cultural dimensions. The obvious differences in national history and culture may well suggest that ethical positions will differ in these countries, but we believe that our findings do contribute to a better understanding of moral standards in relation to business in the Central and East European (CEE area.

  4. Behavioral Determinants of Russian Nuclear State-Owned Enterprises in Central and Eastern European Region

    OpenAIRE

    Vlcek, Tomas; Jirusek, Martin

    2015-01-01

    Rosatom State Nuclear Corporation play a substantial role in the energy sector of the Central and Eastern European region and the behavioral characteristics of the company forms the basis of this article. Rosatom is positioned as the dominant provider of nuclear technology and fuel supplies to the region, in large part stemming from the Soviet legacy in CEE countries. Compounding this challenge, nuclear energy is one of the major sources of power generation in CEE. Given the long-time, near m...

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

    Science.gov (United States)

    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

  6. Analysis of Regional GPS Networks in Eastern Ontario

    Science.gov (United States)

    Samadi Alinia, H.; Tiampo, K. F.

    2014-12-01

    Although stable, intraplate region of eastern Canada is considered low rate deformation area in the North American plate, the retreat of large ice sheets during deglaciation in the last 20 ka has resulted in horizontal and vertical deformation of the Earth's in eastern Ontario. Present-day glacial isostatic adjustment (GIA) uplift rates approach 10 mm/yr or more at Hudson Bay and decrease with distance southeastward. Current GIA models forecast that the hinge line between uplift to the northwest and subsidence to the southeast lies somewhere near the Saint Lawrence valley in eastern Canada [Tushingham and Peltier, 1991; Peltier, 2002]. Employing continuous Global Positioning System (cGPS) observations and high precision tools for processing and then analyzing each component of derived time series are important tools to monitor the associated regional crustal deformation with good accuracies. Here we describe the analysis of coordinate time series of cGPS stations scattered sparsely throughout southeastern Ontario and between Ottawa and the east coast of Hudson Bay. Here, the two most reliable local networks, each including 4 to 6 reference stations, were selected for analysis. Data for period of approximately five years, 2008-2012.9, was processed with Bernese 5.0 over several campaigns. Individual cGPS coordinate time series were generated for each station and basic parameters, such as mean, variance and repeatability, were estimated. The time series are corrected with respect to the rigid plate motion and seasonal variations and advanced time series analysis techniques, including spectral analysis and principal component analysis were implemented. Post-processing of the time series reproduces the general GIA spatial pattern. Results also show that the vertical velocities of all stations in the solution are consistent with the GIA model uplift rate and are consistent with other cGPS sites in eastern Canada and increases from north of lake of Ontario (approximately

  7. RD networks and regional knowledge production in Europe : Evidence from a space-time model

    NARCIS (Netherlands)

    Wanzenböck, Iris; Piribauer, Philipp

    2018-01-01

    In this study we estimate space-time impacts of the embeddedness in R&D networks on regional knowledge production using a dynamic spatial panel data model with non-linear effects for 229 European NUTS 2 regions in the period 1998–2010. Embeddedness refers to the positioning in networks where nodes

  8. Social networks and regional recruitment of foreign labour: Firm recruitment methods and spatial sorting in Denmark

    DEFF Research Database (Denmark)

    Schmidt, Torben Dall; Jensen, Peter Sandholt

    2012-01-01

    This paper tests the hypothesis that social networks are crucial for regional recruitment and inflows of foreign labour. New survey data on 971 firms located in Region Southern Denmark show that the predominant recruitment method of foreign labour was through networks. Danish municipal data from...... 1997–2006 furthermore reveal spatial sorting since initial shares of employees with a foreign background out of total regional employment predict foreign labour inflow rates to regional employment. Thus, social networks appear crucial for the recruitment and inflows of foreign labour, suggesting...

  9. Spatial Pattern and Regional Relevance Analysis of the Maritime Silk Road Shipping Network

    Directory of Open Access Journals (Sweden)

    Naixia Mou

    2018-03-01

    Full Text Available Under the strategy of “One Belt and One Road”, this paper explores the spatial pattern and the status quo of regional trade relevance of the Maritime Silk Road shipping network. Based on complex network theory, a topological structure map of shipping networks for containers, tankers, and bulk carriers was constructed, and the spatial characteristics of shipping networks were analyzed. Using the mode of spatial arrangement and the Herfindahl–Hirschman Index, this paper further analyzes the traffic flow pattern of regional trade of three kinds of goods. It is shown that the shipping network of containers, tankers and bulk carriers are unevenly distributed and have regional agglomeration phenomena. There is a strong correlation between the interior of the region and the adjacent areas, and the port competition is fierce. Among them, the container ships network is the most competitive in the region, while the competitiveness of the tankers network is relatively the lowest. The inter-regional correlation is weak, and a few transit hub ports have obvious competitive advantages. The ports in Northeast Asia and Southeast Asia are the most significant. The research results combined with the Maritime Silk Road policy can provide reference for port construction, route optimization, and coordinated development of regional trade, which will help to save time and cost of marine transportation, reduce energy consumption, and promote the sustainable development of marine environment and regional trade on the Maritime Silk Road.

  10. Collective Efficacy of a Regional Network: Extending the Social Embeddedness Perspective of Entrepreneurship

    OpenAIRE

    Muhammad, Nabeel; Léo-Paul, Dana

    2015-01-01

    Through participatory observation and in-depth interviews with members of the Memon community, in Pakistan, this paper probes into how the collective efforts of a regional network can facilitate entrepreneurship, social enterprises and regional development. The setting is a developing country that is lacking a large-scale entrepreneurial culture. Despite caste differences, Memons throughout the Karachi region meet and share experiences with other Memon members of their network – including Mem...

  11. Self-organizing map network-based precipitation regionalization for the Tibetan Plateau and regional precipitation variability

    Science.gov (United States)

    Wang, Nini; Yin, Jianchuan

    2017-12-01

    A precipitation-based regionalization for the Tibetan Plateau (TP) was investigated for regional precipitation trend analysis and frequency analysis using data from 1113 grid points covering the period 1900-2014. The results utilizing self-organizing map (SOM) network suggest that four clusters of precipitation coherent zones can be identified, including the southwestern edge, the southern edge, the southeastern region, and the north central region. Regionalization results of the SOM network satisfactorily represent the influences of the atmospheric circulation systems such as the East Asian summer monsoon, the south Asian summer monsoon, and the mid-latitude westerlies. Regionalization results also well display the direct impacts of physical geographical features of the TP such as orography, topography, and land-sea distribution. Regional-scale annual precipitation trend as well as regional differences of annual and seasonal total precipitation were investigated by precipitation index such as precipitation concentration index (PCI) and Standardized Anomaly Index (SAI). Results demonstrate significant negative long-term linear trends in southeastern TP and the north central part of the TP, indicating arid and semi-arid regions in the TP are getting drier. The empirical mode decomposition (EMD) method shows an evolution of the main cycle with 4 and 12 months for all the representative grids of four sub-regions. The cross-wavelet analysis suggests that predominant and effective period of Indian Ocean Dipole (IOD) on monthly precipitation is around ˜12 months, except for the representative grid of the northwestern region.

  12. Strategic Networking in the Technical HEI‘s of the Baltic Sea Region

    Directory of Open Access Journals (Sweden)

    Justas Nugaras

    2012-12-01

    Full Text Available This paper presents the results of the empirical research of the networking of Technical Higher Education Institutions (HEI‘S of the Baltic Sea region. The research was conducted in order to understand how the Social Network Analysis (SNA and network mapping methods could help to strengthen institution’s strategic perspective through networking. The author analyse the interaction phenomena in the Higher education sector; its’ impact for networking of institutions and for the network itself; the role of the position in the networks; abilities to strengthen the node’s perception of the network for the strategizing purposes. The research was based on the SNA of the Erasmus programme student mobility data. The results of the research cover the implications of aspects of the network centrality, clustering and ego networks let to identify the node’s position in the network, and to understand surrounding network. The research disclosed that the SNA could be applied in supporting the strategizing process by: increasing of understanding of embedded networks, having more realistic network picture, also could be used as supplement evaluation and development planning method for the relationships portfolio management for HEI’s.

  13. Factors and Determinants of the Quality of Public Administration in the CEE-Region

    NARCIS (Netherlands)

    Nemec, J.; Vries, M.S. de; Ongaro, E; Thiel, S. van

    2018-01-01

    This chapter addresses the progress seen in PA research in Central and Eastern Europe. It does so by first describing the societal contexts with their problems, historical legacies and transformation during the last 25 years. Subsequently it addresses the professionalization of the civil service

  14. Salient regions detection using convolutional neural networks and color volume

    Science.gov (United States)

    Liu, Guang-Hai; Hou, Yingkun

    2018-03-01

    Convolutional neural network is an important technique in machine learning, pattern recognition and image processing. In order to reduce the computational burden and extend the classical LeNet-5 model to the field of saliency detection, we propose a simple and novel computing model based on LeNet-5 network. In the proposed model, hue, saturation and intensity are utilized to extract depth cues, and then we integrate depth cues and color volume to saliency detection following the basic structure of the feature integration theory. Experimental results show that the proposed computing model outperforms some existing state-of-the-art methods on MSRA1000 and ECSSD datasets.

  15. Networks and Innovation: An Economic Model for European Regions (2002-2006)

    OpenAIRE

    Alfonso Badiola; Pedro Casares-Hontañón; Pablo Coto-Millán; Miguel Ángel Pesquera

    2012-01-01

    This research provides a new theoretical approach to innovation. The work also provides data processed in recent years (2002-2006) to regions of European regions, providing relevant empirical evidence on the relationship between Human Capital, Technological Capital, Innovation Capital, Network Capital and Innovation. In econometric modeling is considered especially for the regions of the European Union.

  16. Pinning-controlled synchronization of complex networks with bounded or unbounded synchronized regions

    International Nuclear Information System (INIS)

    Yan-Li, Zou; Guan-Rong, Chen

    2009-01-01

    This paper studies pinning-controlled synchronization of complex networks with bounded or unbounded synchronized regions. To study a state-feedback pinning-controlled network with N nodes, it first converts the controlled network to an extended network of N+1 nodes without controls. It is shown that the controlled synchronizability of the given network is determined by the real part of the smallest nonzero eigenvalue of the coupling matrix of its extended network when the synchronized region is unbounded; but it is determined by the ratio of the real parts of the largest and the smallest nonzero eigenvalues of the coupling matrix when the synchronized region is bounded. Both theoretical analysis and numerical simulation show that the portion of controlled nodes has no critical values when the synchronized region is unbounded, but it has a critical value when the synchronized region is bounded. In the former case, therefore, it is possible to control the network to achieve synchronization by pinning only one node. In the latter case, the network can achieve controlled synchronization only when the portion of controlled nodes is larger than the critical value. (general)

  17. [Financing Regional Dementia Networks in Germany: Determinants of Sustainable Healthcare Networks].

    Science.gov (United States)

    Michalowsky, B; Wübbeler, M; Thyrian, J R; Holle, B; Gräske, J; Schäfer-Walkmann, S; Fleßa, S; Hoffmann, W

    2017-12-01

    Analysis of practice-based financing concepts in German dementia networks (DN); Provision of sustainable financing structures and their determinants in DN. Qualitative expert interviews with leaders of 13 DN were conducted. A semi-structured interview guide was used to analyse four main topics: Finance-related organization, cost, sources of funding and financial sustainability. DN were primarily financed by membership fees, earnings of services provided, public funds and payments by municipalities or health care providers. 63% of the DN reported a financial sustainability. Funds to support the interpersonal expanding, a mix of internal and external financing sources and investments of the municipality were determinants of a sustainable financing. Overall, DN in rural areas seemed to be disadvantaged due to a lack of potential linkable service providers. DN in urban regions are more likely able to gather sustainable funding resources. A minimum funding of 50.000 €/year for human resources coordinating the DN, seems to be a threshold for a sustainable DN. © Georg Thieme Verlag KG Stuttgart · New York.

  18. La adhesión de España a la CEE

    OpenAIRE

    Badosa Pagés, Juan

    2005-01-01

    El presente artículo contiene una síntesis tanto de los elementos básicos del proceso negociador (obstáculos, tácticas, organización, etcétera), como de los Acuerdos alcanzados en la adhesión de España a la CEE con efecto 1 de enero de 1986. La adhesión se presenta aquí desde el punto de vista económico, como un gran proceso ordenado de apertura y liberalización de la economía española (con la excepción del capítulo agrícola). En esta liberalización radica el gran éxito económico inmediato qu...

  19. THE ROLE OF EDUCATION IN EXPLAINING YOUTH LABOUR MARKET IMBALANCES IN CEE COUNTRIES

    Directory of Open Access Journals (Sweden)

    DIMIAN, Gina Cristina

    2011-09-01

    Full Text Available The main aim of this paper is to investigate the determinants of youth labour market performances and their influence on the future economic and social development of a country. The objectives refer to the assessment of demographic and labour market trends for young people, the analysis of the factors responsible for increasing youth unemployment and for the differences between skilled and unskilled young people concerning unemployment rates. To achieve the paper’s objectives several statistical and econometric models (descriptive statistics, correlation and regression analysis have been used. The main interest was to look for the key driver of youth labour market sustainable performances. The degree of originality is given by our choice to analyse youth labour market dynamics from an interconnected perspective (demographic trends, youth unemployment, education and to apply the model for 10 CEE countries (Bulgaria, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Romania, Slovenia, and Slovakia in order to compare their performances.

  20. Multi-wavelength Analysis of a Solar Network Region

    Czech Academy of Sciences Publication Activity Database

    Tsiropoula, G.; Tziotziou, K.; Schwartz, Pavol; Heinzel, Petr

    2008-01-01

    Roč. 32, č. 1 (2008), s. 109-116 ISSN 1845-8319 Grant - others:EU(XE) ESA-PECS project No. 98030 Institutional research plan: CEZ:AV0Z10030501 Keywords : Sun * network * oscillations Subject RIV: BN - Astronomy, Celestial Mechanics, Astrophysics

  1. Rules of origin and development of regional production network in ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Simpler Rules of Origin (RoO) with product specific rules can act as a catalyst in trade even if tariff rates are not low. Sector specific restrictiveness across trade agreements are assessed, in view of potential growth of International production networks (IPN). RoO is shown to play a significant role in promoting IPN.

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

    Science.gov (United States)

    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…

  3. Railway optimal network simulation for the development of regional transport-logistics system

    Directory of Open Access Journals (Sweden)

    Mikhail Borisovich Petrov

    2013-12-01

    Full Text Available The dependence of logistics on mineral fuel is a stable tendency of regions development, though when making strategic plans of logistics in the regions, it is necessary to provide the alternative possibilities of power-supply sources change together with population density, transport infrastructure peculiarities, and demographic changes forecast. On the example of timber processing complex of the Sverdlovsk region, the authors suggest the algorithm of decision of the optimal logistics infrastructure allocation. The problem of regional railway network organization at the stage of slow transition from the prolonged stagnation to the new development is carried out. The transport networks’ configurations of countries on the Pacific Rim, which successfully developed nowadays, are analyzed. The authors offer some results of regional transport network simulation on the basis of artificial intelligence method. These methods let to solve the task with incomplete data. The ways of the transport network improvement in the Sverdlovsk region are offered.

  4. [A German network for regional anaesthesia of the scientific working group regional anaesthesia within DGAI and BDA].

    Science.gov (United States)

    Volk, Thomas; Engelhardt, Lars; Spies, Claudia; Steinfeldt, Thorsten; Kutter, Bernd; Heller, Axel; Werner, Christian; Heid, Florian; Bürkle, Hartmut; Koch, Thea; Vicent, Oliver; Geiger, Peter; Kessler, Paul; Wulf, Hinnerk

    2009-11-01

    Regional anaesthesia generally is considered to be safe. However, reports of complications with different severities are also well known. The scientific working group of regional anaesthesia of the DGAI has founded a network in conjunction with the BDA. With the aid of a registry, we are now able to describe risk profiles and associations in case of a complication. Moreover, a benchmark has been implemented in order to continuously improve complication rates. (c) Georg Thieme Verlag KG Stuttgart-New York.

  5. Development of a Regional Neural Network for Coastal Water Level Predictions

    National Research Council Canada - National Science Library

    Huang, Wenrui; Murray, Catherine; Kraus, Nicholas; Rosati, Julie

    2003-01-01

    .... Fortunately, the US National Oceanographic and Atmospheric Administration (NOAA) has a national network of water level monitoring stations distributed in regional scale that has been operating for several decades...

  6. Network performance, hub connectivity potential, and competitive position of primary airports in Asia/Pacific region

    NARCIS (Netherlands)

    Matsumoto, H.; Veldhuis, J.; de Wit, J.; Burghouwt, G.

    2008-01-01

    Recently, hub-and-spoke network configurations are more and more developed in the Asia/Pacific region. In this paper, it is argued that the measurement of network performance in hub-and-spoke systems should take into account the quantity and quality of both direct and indirect connections. The

  7. [Challenges of implementing a geriatric trauma network : A regional structure].

    Science.gov (United States)

    Schoeneberg, Carsten; Hussmann, Bjoern; Wesemann, Thomas; Pientka, Ludger; Vollmar, Marie-Christin; Bienek, Christine; Steinmann, Markus; Buecking, Benjamin; Lendemans, Sven

    2018-04-01

    At present, there is a high percentage and increasing tendency of patients presenting with orthogeriatric injuries. Moreover, significant comorbidities often exist, requiring increased interdisciplinary treatment. These developments have led the German Society of Trauma Surgery, in cooperation with the German Society of Geriatrics, to establish geriatric trauma centers. As a conglomerate hospital at two locations, we are cooperating with two external geriatric clinics. In 2015, a geriatric trauma center certification in the form of a conglomerate network structure was agreed upon for the first time in Germany. For this purpose, the requirements for certification were observed. Both structure and organization were defined in a manual according to DIN EN ISO 9001:2015. Between 2008 and 2016, an increase of 70% was seen in geriatric trauma cases in our hospital, with a rise of up to 360% in specific diagnoses. The necessary standards and regulations were compiled and evaluated from our hospitals. After successful certification, improvements were necessary, followed by a planned re-audit. These were prepared by multiprofessional interdisciplinary teams and implemented at all locations. A network structure can be an alternative to classical cooperation between trauma and geriatric units in one clinic and help reduce possible staffing shortage. Due to the lack of scientific evidence, future evaluations of the geriatric trauma register should reveal whether network structures in geriatric trauma surgery lead to a valid improvement in medical care.

  8. Development and Restructuring of Regional Production/Distribution Networks in East Asia

    OpenAIRE

    Mitsuyo ANDO

    2013-01-01

    This paper attempts to investigate the features of development and restructuring patterns of production/distribution networks in East Asia, mainly in machinery sectors, using international trade data at the most disaggregated level, to discuss their resilient nature, and to provide policy implications for the regional production networks and the economic development in the region. Although the negative impacts of the Global Financial Crisis (GFC) in 2008 were initially transmitted through the...

  9. Modelling renewable energy resource and the electricity network (East Midlands region)

    Energy Technology Data Exchange (ETDEWEB)

    Newton, P.A.; Ma, T.

    2002-07-01

    The UK Government's targets for renewable generation and combined heat and power (CHP) are expected to result in a significant growth in embedded generation. This report describes the results of a study of the capability of the electricity distribution network in the East Midlands to accept embedded generation. Detailed network studies were performed for two sample networks: one representing an urban network (Leicester) and one representing a rural network (Boston). The 132 kV networks of the grid groups covering these areas were also studied. This included an examination of the connection points from major 132 kV busbars at grid supply points down to 11 kV primary substations. Power system studies were performed to identify the constraints and capabilities of the existing network, These studies included load flow to examine voltage profile and overloading, fault level analysis and transient studies to examine generator and network stability following faults on the network and voltage step change due to generator tripping. Space network capacity for the region was identified and used to assess the ability to accommodate regional targets for renewables and CHP. The study also examined constraining factors and potential solutions, including four improvement scenarios.

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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…

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

    Science.gov (United States)

    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.

  13. Birth and development of active region and chromospheric network

    Energy Technology Data Exchange (ETDEWEB)

    Kartashova, L G

    1975-01-01

    Formation and development of 15 active regions of a simple bipolar configuration with small-sized spots and without noticeable penumbras have been studied by the data of observations with a coronograph CA n the centre and wings of the Hsub(a) line. Resolution on the photographs is 2''. The following conclusions have been drawn: first bright details of the active region formed are generated through brightening of bright points of the chromosphere grid; intensification and stretching of dark points of the chromosphere grid results in the formation of fibrous structure in the vicinity of active region; spots appear either between the flocculi points, or near them closer to the centre of the corresponding cell of the chromosphere grid, among dark points of the chromosphere grid no spots are usually formed; in the process of growing of a simple bipolar group the leader and tail spots draw apart together with the chromosphere grid cells, in which they are formed; at the stage of fast growth in the neighbourhood of most large of the groups under studies a formation of arcs or of almost closed contours of the chromosphere grid is observed in the wings of the line. This rearrangement of the chromosphere grid is apparently closely connected with the formation of a fibrous structure around the active region.

  14. THE ROLE OF SOCIAL NETWORKS IN THE REGIONAL DEVELOPMENT: THE CASE OF SILICON VALLEY

    Directory of Open Access Journals (Sweden)

    MURAT ÇETİN

    2013-06-01

    Full Text Available Social capital has commonly been discussed in recent years from the perspective of sociology, economics and political science. Social capital defines the structure of social relations among economic actors in a region. Regional development depends directly on the level of actors’ social capital. This study focuses on the importance of social networks, an important factor of social capital, in the economy of Silicon Valley. These networks improve many-sided and intensive social relations and collaborative activities within and among universities, research centers, venture capitalists, law firms, industrial firms and investment banks in the region. In Silicon Valley, social networks have special importance in the movement of labor, the gaining of influence and power, and the actual production of innovation. Thus, social networks can be evaluated as a driver of economic development.

  15. Implementation and integration of regional health care data networks in the Hellenic National Health Service.

    Science.gov (United States)

    Lampsas, Petros; Vidalis, Ioannis; Papanikolaou, Christos; Vagelatos, Aristides

    2002-12-01

    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. To present the technical solution that is under consideration for implementing and interconnecting regional health care data networks in the Hellenic National Health System. 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. The solution proposed is the use of proper virtual private network technologies for implementing functionally-interconnected regional health care data networks. 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.

  16. The impact of social networks on innovation: The case of European regions

    OpenAIRE

    Alfonso Badiola-Sánchez; Pedro Casares-Hontañón; Pablo De Castro; Pablo Coto-Millán; Miguel Ángel Pesquera

    2014-01-01

    This research analyses the relationship between the use of social networks and the generation of innovations in European regions through a production function of innovations using human capital, technological capital and virtual relational capital with the new theoretical approach. For this, it is estimated an econometric model of panel data for the period 2007-2011 and 190 European regions.

  17. Trans-European transport networks influence on the regional development and urban systems: Serbian experience

    Directory of Open Access Journals (Sweden)

    Maksin-Mićić Marija

    2004-01-01

    Full Text Available The trans-European transport network has different effects at macro-regional, mezzo-regional and micro-regional level, and on urban systems development, and its effectiveness rises at the lower regional levels. Possible approaches to the trans-European transport network impact and effect survey and policy options have been pointed out. The importance of increased accessibility and mobility for regional expansion and for more balanced and polycentric system of city networks has been underlined. The question is how the new major transport infrastructure affects the development of functional complementarity between cities and regions. Changes of the spatial organization, utilization and structure of cities, as well as of social benefits and losses subsequent to impacts of trans-European transport corridor "X" on urban system Ćuprija-Jagodina-Paraćin at section Belgrade-Nis have been analysed. The new trans-European or major transport infrastructure does not per se create regional and urban system network development, although it can affect the conditions for the processes that create growth and development. The effects can be increased by co-ordination of measures of regional and urban policy, land use, transport and other policies. The guidances and options of urban systems and urban centres development policies in trans-European transport corridor, as well as possibilities to improve our planning system have been given. The necessary measure is the introduction of spatial impact assessment as sectorial policy instrument for the large transport infrastructure projects.

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

    Science.gov (United States)

    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...

  19. Toward more effective regional networks: a multi-method study on top-down stimulated networks within the Dutch public-policy areas of education and employment

    NARCIS (Netherlands)

    Klaster, E.

    2015-01-01

    Regional networks have become a popular way for the Dutch central government to translate national ambitions into regional policies and actions. This thesis focuses on regional networks in the public-policy fields of education and employment, which consist of various actors, including schools, local

  20. The CEE housing markets before, during and after the transition: an overview of property prices and home ownership rates

    OpenAIRE

    Elena IONASCU

    2017-01-01

    The purpose of this research is to investigate relevant economic aspects, which characterized housing markets from Central and Eastern European (CEE) countries, to identify the factors which determine the house prices and to find the economic implications of property investments, under an international micro and macroeconomic environment. Methodological, the article uses the deduction and comparative analysis of collected statistical data, and strategic reforms in post-communist countries are...

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

    International Nuclear Information System (INIS)

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

    2011-01-01

    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 ∼ 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.

  2. The TEN-T core network and the Fehmarnbelt region

    DEFF Research Database (Denmark)

    Guasco, Clement Nicolas

    This note is a snapshot picture, taken in early 2014, that places the Green STRING corridor project within the context of the TEN-T strategy and gives a summarized overview on the impact of this strategy in the region. Chapter 1 contains a summary of the TEN-T strategy today, chapter 2 presents...... the sources used for this note, chapter 3 presents all the relevant EU regulations with direct impact on the development of TEN-T corridors, chapter 4 gives practical examples of the challenges for the development of TEN-T corridors, chapter 5 pre-sents the national initiatives related to the TEN-T corridor...

  3. Regional Technolgy Policy and Factors Shaping Local Innovation Networks in Small German Cities

    OpenAIRE

    Gebauer, Andrea; Nam, Chang Woon; Parsche, Rüdiger

    2003-01-01

    Local innovation networks have been considered to be particularly important to innovation and technological change and to the growth prospects of regions and cities in Germany. Accordingly, innovation is a process that results from various (economic and social) interactions of different institutions located in a given region. Consequently, when analysing the local (or regional) innovation system, one should not only investigate the (horizontal and vertical) relations among firms but also the ...

  4. Trans-European transport networks influence on the regional development and urban systems: Serbian experience

    Directory of Open Access Journals (Sweden)

    Maksin-Mićić Marija

    2004-01-01

    Full Text Available The trans-European transport network has different effects at macro regional mezzo-regional and micro-regional level, and its effectiveness rises with the lower regional levels. Possible approaches to the trans-European transport network impact and effect survey and policy options have been pointed out. The importance of increased accessibility and mobility for regional expansion and for a more balanced and polycentric system of city networks has been underlined. Changes in the spatial organization utilization and structure of cities, as well as in social benefits and losses subsequent to impacts of trans-European transport corridor "X" section Belgrade-Niš have been analyzed. The new trans-European or major transport infrastructure does not per se create regional and urban system network development, although it can affect the conditions for the processes that create growth and development. The effects can be increased by co-ordination of measures of regional, spatial and urban policy, land use transport, environmental and other policies. The necessary measure is the introduction of spatial impact assessment as sartorial policy instrument for the large transport infrastructure plans and projects.

  5. Combining region- and network-level brain-behavior relationships in a structural equation model.

    Science.gov (United States)

    Bolt, Taylor; Prince, Emily B; Nomi, Jason S; Messinger, Daniel; Llabre, Maria M; Uddin, Lucina Q

    2018-01-15

    Brain-behavior associations in fMRI studies are typically restricted to a single level of analysis: either a circumscribed brain region-of-interest (ROI) or a larger network of brain regions. However, this common practice may not always account for the interdependencies among ROIs of the same network or potentially unique information at the ROI-level, respectively. To account for both sources of information, we combined measurement and structural components of structural equation modeling (SEM) approaches to empirically derive networks from ROI activity, and to assess the association of both individual ROIs and their respective whole-brain activation networks with task performance using three large task-fMRI datasets and two separate brain parcellation schemes. The results for working memory and relational tasks revealed that well-known ROI-performance associations are either non-significant or reversed when accounting for the ROI's common association with its corresponding network, and that the network as a whole is instead robustly associated with task performance. The results for the arithmetic task revealed that in certain cases, an ROI can be robustly associated with task performance, even when accounting for its associated network. The SEM framework described in this study provides researchers additional flexibility in testing brain-behavior relationships, as well as a principled way to combine ROI- and network-levels of analysis. Copyright © 2017 Elsevier Inc. All rights reserved.

  6. The role of regional networks in regional policy: European experience and perspectives for Russia

    OpenAIRE

    Arzhenovsky, Igor; Solodkova, Natalia

    2003-01-01

    The processes of globalization and localization as frame conditions of regional development cause some radical changes of spatial organization of economy and regional policy. One of such alteration is a widespread horizontal method (in addition to traditional hierarchical form) of relationship between different firms, organizations and other partners through informal contacts, intensive informational flows and cooperation skills. The report concerns theoretical substantiation, essence, differ...

  7. Shape, size, and robustness: feasible regions in the parameter space of biochemical networks.

    Directory of Open Access Journals (Sweden)

    Adel Dayarian

    2009-01-01

    Full Text Available The concept of robustness of regulatory networks has received much attention in the last decade. One measure of robustness has been associated with the volume of the feasible region, namely, the region in the parameter space in which the system is functional. In this paper, we show that, in addition to volume, the geometry of this region has important consequences for the robustness and the fragility of a network. We develop an approximation within which we could algebraically specify the feasible region. We analyze the segment polarity gene network to illustrate our approach. The study of random walks in the parameter space and how they exit the feasible region provide us with a rich perspective on the different modes of failure of this network model. In particular, we found that, between two alternative ways of activating Wingless, one is more robust than the other. Our method provides a more complete measure of robustness to parameter variation. As a general modeling strategy, our approach is an interesting alternative to Boolean representation of biochemical networks.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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

  10. A spatial study of networking in the Vistula Lagoon region using geoinformation systems

    Directory of Open Access Journals (Sweden)

    Gritsenko Vladimir

    2013-12-01

    Full Text Available Network cooperation — the most efficient form of unlocking the economic and natural potential of territories — is rapidly developing in Russia under the influence of global processes. Due to its unique geopolitical position, the Kaliningrad region is one of the regions where such networks develop at both the regional and international levels. When studying such forms of cooperation, the traditional methods of social sciences as research tools are not sufficient, which is explained by the dynamic nature of network cooperation as well as the fact that it involves a significant number of independent agents. We believe that one of the important tools of research on network cooperation is regional integral geoinformation systems (GIS. Modern GIS are successfully used in related fields, such as environmental and climate studies, geology, urban studies, and serve as rather efficient tools of analysing spatial objects and phenomena. One of such systems has been developed and is successfully functioning at the Immanuel Kant Baltic Federal University, which makes it possible to use it in studying network cooperation in the framework of crossborder development with the involvement of Kaliningrad municipalities. The key objective set by the authors of the article is to justify the need for studying the emerging network cooperation with the help of both traditional methods of geography and modern GIS; a specific case is made of the cross-border Vistula lagoon region — the one that brings together Russian and Polish municipalities. The authors provide with the background for the search of possible development strategies in the region, and note that the creation of a regional GIS structure can become a necessary component of the region’s information and communication structure; this conclusion can be considered the key result of the research conducted. The practical significance of the article lies in justifying the use of modern geoinformation systems

  11. The governance of regional networks in the process of European integration

    OpenAIRE

    Cappellin, Riccardo

    2001-01-01

    The paper illustrates the model of territorial networks and it investigates the role of institutions in a bottom-up approach of economic and institutional integration aiming to tackle the negative impacts of the globalization process on the economic development. The first chapter illustrates in analytical terms the model of territorial networks and the multidimen-sional nature of the process of integration, in a regional and international setting and it contrasts it with the traditional neocl...

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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

  14. A VECM approach to detangling growth, exports, imports and FDI knot in selected CEE countries

    Directory of Open Access Journals (Sweden)

    Saša Žiković

    2014-12-01

    Full Text Available The authors analyze the relationship between GDP, imports-coverage ratio (NEX, FDI and gross fixed capital formation (GFC in selected CEE countries by using an error correction model. The empirical results confirm a positive long-run influence of the imports coverage ratio, FDI and GFC on GDP growth for all of the countries, except Croatia. In the case of Croatia, there is a significant negative feedback between FDI and GDP growth in the long run and a positive one in the short run. By using B. Horvat’s research on this subject, a logical explanation of this sort of paradoxical behavior is suggested. The second uncommon result is the long-run positive relationship between GDP and the imports-coverage ratio. The obtained result speaks in favor of a conservative approach to running a national economy, where the current account and the imports-coverage ratio are taken into account and the economic growth is achieved through slower but stable, internally driven growth.

  15. Networks and RegionalCompetitiveness: Towards a Transaction Cost Approach of Small-Scale Cooperation

    Directory of Open Access Journals (Sweden)

    Daniel Friel

    2005-06-01

    Full Text Available A preoccupation with competition often dominates the study of governance. A focus on competition often unnecessarily precludes the possibility that regional institutions can suspend competition in certain areas and facilitate cooperation among potential rivals, thereby potentially contributing to their mutual success. In many ways companies cooperating through these types of networks have a greater degree of flexibility than firms which are forced to rely solely on hierarchies or markets for solutions to their problems. In order to fully understand how such networks work, this article first parses out differences in definitions of networks in order to understand how the type of network mentioned above actually differs from other uses of this term. Then it develops a theory of governance that goes beyond hierarchies and markets by demonstrating how this type of network can lead to reductions in transaction costs. This claim is illustrated on hand from examples of alternative forms of organization in Germany and Italy.

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

    Science.gov (United States)

    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.

  17. Distinguishing patients with Parkinson's disease subtypes from normal controls based on functional network regional efficiencies.

    Directory of Open Access Journals (Sweden)

    Delong Zhang

    Full Text Available Many studies have demonstrated that the pathophysiology and clinical symptoms of Parkinson's disease (PD are inhomogeneous. However, the symptom-specific intrinsic neural activities underlying the PD subtypes are still not well understood. Here, 15 tremor-dominant PD patients, 10 non-tremor-dominant PD patients, and 20 matched normal controls (NCs were recruited and underwent resting-state functional magnetic resonance imaging (fMRI. Functional brain networks were constructed based on randomly generated anatomical templates with and without the cerebellum. The regional network efficiencies (i.e., the local and global efficiencies were further measured and used to distinguish subgroups of PD patients (i.e., with tremor-dominant PD and non-tremor-dominant PD from the NCs using linear discriminant analysis. The results demonstrate that the subtype-specific functional networks were small-world-organized and that the network regional efficiency could discriminate among the individual PD subgroups and the NCs. Brain regions involved in distinguishing between the study groups included the basal ganglia (i.e., the caudate and putamen, limbic regions (i.e., the hippocampus and thalamus, the cerebellum, and other cerebral regions (e.g., the insula, cingulum, and calcarine sulcus. In particular, the performances of the regional local efficiency in the functional network were better than those of the global efficiency, and the performances of global efficiency were dependent on the inclusion of the cerebellum in the analysis. These findings provide new evidence for the neurological basis of differences between PD subtypes and suggest that the cerebellum may play different roles in the pathologies of different PD subtypes. The present study demonstrated the power of the combination of graph-based network analysis and discrimination analysis in elucidating the neural basis of different PD subtypes.

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

    Science.gov (United States)

    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.

  19. Multi-regional input–output model and ecological network analysis for regional embodied energy accounting in China

    International Nuclear Information System (INIS)

    Zhang, Yan; Zheng, Hongmei; Yang, Zhifeng; Su, Meirong; Liu, Gengyuan; Li, Yanxian

    2015-01-01

    Chinese regions frequently exchange materials, but regional differences in economic development create unbalanced flows of these resources. In this study, we examined energy by assessing embodied energy consumption to describe the energy-flow structure in China's seven regions. Based on multi-regional monetary input–output tables and energy statistical yearbooks for Chinese provinces in 2002 and 2007, we accounted for both direct and indirect energy consumption, respectively, and the integral input and output of the provinces. Most integral inputs of energy flowed from north to south or from east to west, whereas integral output flows were mainly from northeast to southwest. This differed from the direct flows, which were predominantly from north to south and west to east. This demonstrates the importance of calculating both direct and indirect energy flows. Analysis of the distance and direction traveled by the energy consumption centers of gravity showed that the centers for embodied energy consumption and inputs moved southeast because of the movements of the centers of the Eastern region. However, the center for outputs moved northeast because the movement of the Central region. These analyses provide a basis for identifying how regional economic development policies influence the embodied energy consumption and its flows among regions. - Highlights: • We integrated multi-regional input–output analysis with ecological network analysis. • We accounted for both direct and indirect energy consumption. • The centers of gravity for embodied energy flows moved southeast from 2002 to 2007. • The results support planning of energy consumption and energy flows among regions.

  20. Spatial connections in regional climate model rainfall outputs at different temporal scales: Application of network theory

    Science.gov (United States)

    Naufan, Ihsan; Sivakumar, Bellie; Woldemeskel, Fitsum M.; Raghavan, Srivatsan V.; Vu, Minh Tue; Liong, Shie-Yui

    2018-01-01

    Understanding the spatial and temporal variability of rainfall has always been a great challenge, and the impacts of climate change further complicate this issue. The present study employs the concepts of complex networks to study the spatial connections in rainfall, with emphasis on climate change and rainfall scaling. Rainfall outputs (during 1961-1990) from a regional climate model (i.e. Weather Research and Forecasting (WRF) model that downscaled the European Centre for Medium-range Weather Forecasts, ECMWF ERA-40 reanalyses) over Southeast Asia are studied, and data corresponding to eight different temporal scales (6-hr, 12-hr, daily, 2-day, 4-day, weekly, biweekly, and monthly) are analyzed. Two network-based methods are applied to examine the connections in rainfall: clustering coefficient (a measure of the network's local density) and degree distribution (a measure of the network's spread). The influence of rainfall correlation threshold (T) on spatial connections is also investigated by considering seven different threshold levels (ranging from 0.5 to 0.8). The results indicate that: (1) rainfall networks corresponding to much coarser temporal scales exhibit properties similar to that of small-world networks, regardless of the threshold; (2) rainfall networks corresponding to much finer temporal scales may be classified as either small-world networks or scale-free networks, depending upon the threshold; and (3) rainfall spatial connections exhibit a transition phase at intermediate temporal scales, especially at high thresholds. These results suggest that the most appropriate model for studying spatial connections may often be different at different temporal scales, and that a combination of small-world and scale-free network models might be more appropriate for rainfall upscaling/downscaling across all scales, in the strict sense of scale-invariance. The results also suggest that spatial connections in the studied rainfall networks in Southeast Asia are

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    Miiro, George M; Oukem-Boyer, Odile Ouwe Missi; Sarr, Ousmane; Rahmani, Maerangis; Ntoumi, Francine; Dheda, Keertan; Pym, Alexander; Mboup, Souleymane; Kaleebu, Pontiano

    2013-03-22

    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). 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. 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. 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.

  3. Using adaptive network based fuzzy inference system to forecast regional electricity loads

    International Nuclear Information System (INIS)

    Ying, L.-C.; Pan, M.-C.

    2008-01-01

    Since accurate regional load forecasting is very important for improvement of the management performance of the electric industry, various regional load forecasting methods have been developed. The purpose of this study is to apply the adaptive network based fuzzy inference system (ANFIS) model to forecast the regional electricity loads in Taiwan and demonstrate the forecasting performance of this model. Based on the mean absolute percentage errors and statistical results, we can see that the ANFIS model has better forecasting performance than the regression model, artificial neural network (ANN) model, support vector machines with genetic algorithms (SVMG) model, recurrent support vector machines with genetic algorithms (RSVMG) model and hybrid ellipsoidal fuzzy systems for time series forecasting (HEFST) model. Thus, the ANFIS model is a promising alternative for forecasting regional electricity loads

  4. Using adaptive network based fuzzy inference system to forecast regional electricity loads

    Energy Technology Data Exchange (ETDEWEB)

    Ying, Li-Chih [Department of Marketing Management, Central Taiwan University of Science and Technology, 11, Pu-tzu Lane, Peitun, Taichung City 406 (China); Pan, Mei-Chiu [Graduate Institute of Management Sciences, Nanhua University, 32, Chung Keng Li, Dalin, Chiayi 622 (China)

    2008-02-15

    Since accurate regional load forecasting is very important for improvement of the management performance of the electric industry, various regional load forecasting methods have been developed. The purpose of this study is to apply the adaptive network based fuzzy inference system (ANFIS) model to forecast the regional electricity loads in Taiwan and demonstrate the forecasting performance of this model. Based on the mean absolute percentage errors and statistical results, we can see that the ANFIS model has better forecasting performance than the regression model, artificial neural network (ANN) model, support vector machines with genetic algorithms (SVMG) model, recurrent support vector machines with genetic algorithms (RSVMG) model and hybrid ellipsoidal fuzzy systems for time series forecasting (HEFST) model. Thus, the ANFIS model is a promising alternative for forecasting regional electricity loads. (author)

  5. Role of regional policies in promoting networking and innovation activity of firms

    OpenAIRE

    Kirsi Mukkala; Jari Ritsilä

    2004-01-01

    The success of firms and regions is increasingly defined by their innovation and learning capabilities. It has been emphasized in several studies that a local operational environment may have a positive impact on innovation activity of firms. From policy point of view, the relationship between firms and their local environment is an important research topic. The purpose of this paper is to explore whether there is a demand for regional policy makers in promoting innovative and networking acti...

  6. SMALL AND MEDIUM ENTERPRISES, REGIONAL DEVELOPMENT AND NETWORKING: THE EMERGING FRAMEWORK IN ROMANIA

    OpenAIRE

    Daniela Luminita Constantin

    2002-01-01

    Networking is a key word in the recent debates on SMEs and regional policies, pointing out the need and advantages of integrating these businesses in a coherent framework, which creates links, relations, exchanges between them and other actors within the region (banks, universities, research institutes, training centres, consulting firms, chambers of commerce, associations of producers, local public administration). This paper aims to explore the main features and significance of the SME sect...

  7. Regional Understanding and Unity of Effort: Applying the Global SOF Network in Future Operating Environments Communications

    Science.gov (United States)

    2016-12-07

    disrupt terrorist networks COL Christopher Varhola, USAR has a Ph.D. in Cultural Anthropology and is a Joint Special Operations University Senior Fellow...conflict, where building relations and empowering regional states and organizations are logical remedies and are rightly a key ele- ment of U.S. diplomatic...grow- ing regional powers and organizations .6 As a result, U.S. freedom of action is reduced and requires coordination and permission from partner

  8. The wireless sensor network monitoring system for regional environmental nuclear radiation

    International Nuclear Information System (INIS)

    Liu Chong; Liu Dao; Wang Yaojun; Xie Yuxi; Song Lingling

    2012-01-01

    The wireless sensor network (WSN) technology has been utilized to design a new regional environmental radiation monitoring system based on the wireless sensor networks to meet the special requirements of monitoring the nuclear radiation in certain regions, and realize the wireless transmission of measurement data, information processing and integrated measurement of the nuclear radiation and the corresponding environmental parameters in real time. The system can be applied to the wireless monitoring of nuclear radiation dose in the nuclear radiation environment. The measured data and the distribution of radiation dose can be vividly displayed on the graphical interface in the host computer. The system has functioned with the wireless transmission and control, the data storage, the historical data inquiry, the node remote control. The experimental results show that the system has the advantages of low power consumption, stable performance, network flexibility, range of measurement and so on. (authors)

  9. COORDINATION IN MULTILEVEL NETWORK-CENTRIC CONTROL SYSTEMS OF REGIONAL SECURITY: APPROACH AND FORMAL MODEL

    Directory of Open Access Journals (Sweden)

    A. V. Masloboev

    2015-01-01

    Full Text Available The paper deals with development of methods and tools for mathematical and computer modeling of the multilevel network-centric control systems of regional security. This research is carried out under development strategy implementation of the Arctic zone of the Russian Federation and national safeguarding for the period before 2020 in the Murmansk region territory. Creation of unified interdepartmental multilevel computer-aided system is proposed intended for decision-making information support and socio-economic security monitoring of the Arctic regions of Russia. The distinctive features of the investigated system class are openness, self-organization, decentralization of management functions and decision-making, weak hierarchy in the decision-making circuit and goal generation capability inside itself. Research techniques include functional-target approach, mathematical apparatus of multilevel hierarchical system theory and principles of network-centric control of distributed systems with pro-active components and variable structure. The work considers network-centric management local decisions coordination problem-solving within the multilevel distributed systems intended for information support of regional security. The coordination problem-solving approach and problem formalization in the multilevel network-centric control systems of regional security have been proposed based on developed multilevel recurrent hierarchical model of regional socio-economic system complex security. The model provides coordination of regional security indexes, optimized by the different elements of multilevel control systems, subject to decentralized decision-making. The model specificity consists in application of functional-target technology and mathematical apparatus of multilevel hierarchical system theory for coordination procedures implementation of the network-centric management local decisions. The work-out and research results can find further

  10. Policy networking as capacity building : An analysis of regional road development conflict in Indonesia

    NARCIS (Netherlands)

    Hudalah, Delik; Winarso, Haryo; Woltjer, Johan

    This article explores the potential of policy networking as an important aspect of capacity building. It deals with a road development project related to the regional planning issue of North Bandung Area (NBA), a water catchment area facing the expansion of Bandung Metropolitan Area, West Java,

  11. Distributed Topological Convex Hull Estimation of Event Region in Wireless Sensor Networks without Location Information

    NARCIS (Netherlands)

    Guo, Peng; Cao, Jiannong; Zhang, Kui

    2015-01-01

    In critical event (e.g., fire or gas) monitoring applications of wireless sensor networks (WSNs), convex hull of the event region is an efficient tool in handling the usual tasks like event report, routes reconstruction and human motion planning. Existing works on estimating convex hull of event

  12. Policy networking as capacity building : An analysis of regional road development conflict in Indonesia

    NARCIS (Netherlands)

    Hudalah, Delik; Winarso, Haryo; Woltjer, Johan

    2010-01-01

    This article explores the potential of policy networking as an important aspect of capacity building. It deals with a road development project related to the regional planning issue of North Bandung Area (NBA), a water catchment area facing the expansion of Bandung Metropolitan Area, West Java,

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

    Directory of Open Access Journals (Sweden)

    R. Walter Heinrichs

    2017-01-01

    Full Text Available 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.

  14. Regional and International Networking to Support the Energy Regulatory Commission of Thailand

    Energy Technology Data Exchange (ETDEWEB)

    Lavansiri, Direk; Bull, Trevor

    2010-09-15

    The Energy Regulatory Commission of Thailand is a new regulatory agency. The structure of the energy sector; the tradition of administration; and, the lack of access to experienced personnel in Thailand all pose particular challenges. The Commission is meeting these challenges through regional and international networking to assist in developing policies and procedures that allow it to meet international benchmarks.

  15. Results of the radiological environmental monitoring network in the Central Eastern region of Cuba

    International Nuclear Information System (INIS)

    Montalvan Estrada, O.; Brigido Flores, R.; Rosa Suarez, R.; Barreras Caballero, A.; Damera Martinez, A.

    1998-01-01

    The radiological environmental monitoring laboratory of Camaguey is a member of the Cuban radiological environmental network and it has been carried out a series of measures about radioactivity in the atmosphere: gamma-dose rate, gross-beta activities in fallout and in aerosols. The results show that this region has a low radiological background and it has been exposure contamination

  16. Social networks' openness, university entrepreneurship and differences between regional innovation systems

    NARCIS (Netherlands)

    Soetanto, D.; Van Geenhuizen, M.S.

    2012-01-01

    Enhancing the establishment and growth of spin-off firms from university is receiving an increased attention in local and regional policy today. University spin-off firms are typically in short of resources, reason why social networks play a vital role in their early growth. There is however a lack

  17. The local-regional networks of radiation protection experts: a necessary tool to strengthen

    International Nuclear Information System (INIS)

    Barbey, P.; Boirie, G.; Barret, Ch.; Barrey, N.

    2008-01-01

    After having recalled the evolution of the legal framework concerning radioprotection and the origin, role and training of the radiation protection experts (PCR in French for Personne Competente en Radioprotection), the author describes the difficulties faced by a PCR on a daily basis. Then, he outlines the interest of a development of local-regional networks between these professionals to promote information transmission and exchange, knowledge updating and so on, and even also to break the isolation of the PCR. He indicates the main objectives of these networks and evokes perspectives, notably after the professional meetings which have been and still are organized twice a year. Two additional and short papers briefly describe the life of one of these networks (the APCRAP, Association des personnes competentes en radioprotection de l'Assistance Publique, association of radiation protection experts belonging to public care services) and briefly present the objectives of the south-western network

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  20. SMALL AND MEDIUM ENTERPRISES, REGIONAL DEVELOPMENT AND NETWORKING: THE EMERGING FRAMEWORK IN ROMANIA

    Directory of Open Access Journals (Sweden)

    Daniela Luminita Constantin

    2002-12-01

    Full Text Available Networking is a key word in the recent debates on SMEs and regional policies, pointing out the need and advantages of integrating these businesses in a coherent framework, which creates links, relations, exchanges between them and other actors within the region (banks, universities, research institutes, training centres, consulting firms, chambers of commerce, associations of producers, local public administration. This paper aims to explore the main features and significance of the SME sector development for addressing the regional question in Romania during the transition period and to identify the emerging evidence and perspectives of SME territorial networking phenomenon in the specific context induced by the European integration processes. Up to present the idea of creating and supporting regional networks has not been offered the adequate importance in Romania – being only partially, indirectly envisaged, so that this paper proposes some reflections that could be considered by the Romanian regional policy in the forthcoming years, as resulted from the analysis of the international experience and literature devoted to this subject.

  1. The Impact of Different Forms of Foreign Capital Inflow on GDPpc in CEE Countries during the Crisis up to 2012

    Directory of Open Access Journals (Sweden)

    Goran Pitic

    2014-09-01

    Full Text Available This paper represents further analysis of the authors of previous research on the impact of foreign capital inflow on GDPpc. The analysis includes nine countries of Central and Southeastern Europe - CEE-9 in the period 2005-2012. The previous research has shown that foreign capital inflow (foreign direct investment /FDI/, portfolio investment /PI/, remittances /REM/ and cross-border credits/CBC/ had an impact on an increase in GDPpc and that CBC inflow had the greatest impact on an increase in GDPpc in the period 2005-2012. In this paper, we use correlation and panel regression in order to determine the cause and impact of the available source of financing on the level of GDPpc. Research showed that the influence of the crisis was evident from 2008 onwards and that CBC had the greatest impact on an increase in GDPpc in the period 2005-2012. Under conditions of a lack of financial resources from domestic sources, coupled with an insufficiently attractive business environment, CBCpc inflow had the greatest impact on an increase in GDPpc. Such a high significance of CBCpc is the result of the fact that CEE-9 failed to create a sufficiently attractive business environment. In an attempt to catch up with advanced EU economies, CEE-9 had to finance the increasing amount of investment from the relatively most expensive sources, such as CBCs, during the crisis. The problems related to the quality of the business environment and underdeveloped institutions contributed to a weak relationship between FDIpc and GDPpc. A weak indirect relationship also exists between PIpc and the level of GDPpc. A strong indirect relationship between REMpc and GDPpc was also observed. The correlation analysis showed that GDPpc was directly and strongly related to CBCpc.

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

    Science.gov (United States)

    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.

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

    Directory of Open Access Journals (Sweden)

    Petr Hajek

    Full Text Available 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.

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

    Directory of Open Access Journals (Sweden)

    Lauren A Vanderlinden

    Full Text Available 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. Functional network-based statistics in depression: Theory of mind subnetwork and importance of parietal region.

    Science.gov (United States)

    Lai, Chien-Han; Wu, Yu-Te; Hou, Yuh-Ming

    2017-08-01

    The functional network analysis of whole brain is an emerging field for research in depression. We initiated this study to investigate which subnetwork is significantly altered within the functional connectome in major depressive disorder (MDD). The study enrolled 52 first-episode medication-naïve patients with MDD and 40 controls for functional network analysis. All participants received the resting-state functional imaging using a 3-Tesla magnetic resonance scanner. After preprocessing, we calculated the connectivity matrix of functional connectivity in whole brain for each subject. The network-based statistics of connectome was used to perform group comparisons between patients and controls. The correlations between functional connectivity and clinical parameters were also performed. MDD patients had significant alterations in the network involving "theory of mind" regions, such as the left precentral gyrus, left angular gyrus, bilateral rolandic operculums and left inferior frontal gyrus. The center node of significant network was the left angular gyrus. No significant correlations of functional connectivity within the subnetwork and clinical parameters were noted. Functional connectivity of "theory of mind" subnetwork may be the core issue for pathophysiology in MDD. In addition, the center role of parietal region should be emphasized in future study. Copyright © 2017. Published by Elsevier B.V.

  6. Postmenopausal hormone therapy and regional brain volumes: the WHIMS-MRI Study.

    Science.gov (United States)

    Resnick, S M; Espeland, M A; Jaramillo, S A; Hirsch, C; Stefanick, M L; Murray, A M; Ockene, J; Davatzikos, C

    2009-01-13

    To determine whether menopausal hormone therapy (HT) affects regional brain volumes, including hippocampal and frontal regions. Brain MRI scans were obtained in a subset of 1,403 women aged 71-89 years who participated in the Women's Health Initiative Memory Study (WHIMS). WHIMS was an ancillary study to the Women's Health Initiative, which consisted of two randomized, placebo-controlled trials: 0.625 mg conjugated equine estrogens (CEE) with or without 2.5 mg medroxyprogesterone acetate (MPA) in one daily tablet. Scans were performed, on average, 3.0 years post-trial for the CEE + MPA trial and 1.4 years post-trial for the CEE-Alone trial; average on-trial follow-up intervals were 4.0 years for CEE + MPA and 5.6 years for CEE-Alone. Total brain, ventricular, hippocampal, and frontal lobe volumes, adjusted for age, clinic site, estimated intracranial volume, and dementia risk factors, were the main outcome variables. Compared with placebo, covariate-adjusted mean frontal lobe volume was 2.37 cm(3) lower among women assigned to HT (p = 0.004), mean hippocampal volume was slightly (0.10 cm(3)) lower (p = 0.05), and differences in total brain volume approached significance (p = 0.07). Results were similar for CEE + MPA and CEE-Alone. HT-associated reductions in hippocampal volumes were greatest in women with the lowest baseline Modified Mini-Mental State Examination scores (scores equine estrogens with or without MPA are associated with greater brain atrophy among women aged 65 years and older; however, the adverse effects are most evident in women experiencing cognitive deficits before initiating hormone therapy.

  7. Circuit-wide Transcriptional Profiling Reveals Brain Region-Specific Gene Networks Regulating Depression Susceptibility.

    Science.gov (United States)

    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

    2016-06-01

    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 four 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. Copyright © 2016 Elsevier Inc. All rights reserved.

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

    Science.gov (United States)

    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.

  9. Background Noise of the Aldeia da Serra Region (Portugal) from a temporary broad band network

    Science.gov (United States)

    Wachilala, Piedade; Borges, José; Caldeira, Bento; Bezzeghoud, Mourad

    2017-04-01

    In this study, we analyse seismic background noise to assess the effect of noise based on the detectability of a temporary network constituted by DOCTAR (Deep Ocean Test Array), who have been deployed in a period between 2011 and 2012 in Portugal mainland, and the Évora permanent seismic station. This network is constituted by 14 digital broadband stations (14 CMG-3ESP and one STS2 sensors) with a flat response between the 60 sec to 50 Hz, 24-bit and 120s to 60Hz respectively. The temporary network was operated in continuous recording mode (three-components) in a region located in the north of the region of Évora, within a radius of about 30 km around the village of Aldeia da Serra, region in which there is an important seismic activity in the context of Portugal mainland. We calculated power spectral densities of background noise for each station/component and compare them with high-noise model and low-noise model of Peterson (1993). We consider different for day and night local and for different periods of the year. Power spectral density estimates show moderate noise levels with all stations falling within the high and low bounds of Peterson (1993). Considering the results of the noise, we estimate the detection limit of each station and consequently the detectability of the network. From this information and taking in attention the events recorded during the period of DOCTAR operation we analyse the improvement promoted by this temporary network regarding the existent seismic networks to the local seismicity study. This work was partially supported by COMPETE 2020 program (POCI-01-0145-FEDER-007690 project). We acknowledge GFZ Potsdam for providing part of the data used in this study.

  10. Stability of whole brain and regional network topology within and between resting and cognitive states.

    Science.gov (United States)

    Rzucidlo, Justyna K; Roseman, Paige L; Laurienti, Paul J; Dagenbach, Dale

    2013-01-01

    Graph-theory based analyses of resting state functional Magnetic Resonance Imaging (fMRI) data have been used to map the network organization of the brain. While numerous analyses of resting state brain organization exist, many questions remain unexplored. The present study examines the stability of findings based on this approach over repeated resting state and working memory state sessions within the same individuals. This allows assessment of stability of network topology within the same state for both rest and working memory, and between rest and working memory as well. fMRI scans were performed on five participants while at rest and while performing the 2-back working memory task five times each, with task state alternating while they were in the scanner. Voxel-based whole brain network analyses were performed on the resulting data along with analyses of functional connectivity in regions associated with resting state and working memory. Network topology was fairly stable across repeated sessions of the same task, but varied significantly between rest and working memory. In the whole brain analysis, local efficiency, Eloc, differed significantly between rest and working memory. Analyses of network statistics for the precuneus and dorsolateral prefrontal cortex revealed significant differences in degree as a function of task state for both regions and in local efficiency for the precuneus. Conversely, no significant differences were observed across repeated sessions of the same state. These findings suggest that network topology is fairly stable within individuals across time for the same state, but also fluid between states. Whole brain voxel-based network analyses may prove to be a valuable tool for exploring how functional connectivity changes in response to task demands.

  11. Stability of whole brain and regional network topology within and between resting and cognitive states.

    Directory of Open Access Journals (Sweden)

    Justyna K Rzucidlo

    Full Text Available BACKGROUND: Graph-theory based analyses of resting state functional Magnetic Resonance Imaging (fMRI data have been used to map the network organization of the brain. While numerous analyses of resting state brain organization exist, many questions remain unexplored. The present study examines the stability of findings based on this approach over repeated resting state and working memory state sessions within the same individuals. This allows assessment of stability of network topology within the same state for both rest and working memory, and between rest and working memory as well. METHODOLOGY/PRINCIPAL FINDINGS: fMRI scans were performed on five participants while at rest and while performing the 2-back working memory task five times each, with task state alternating while they were in the scanner. Voxel-based whole brain network analyses were performed on the resulting data along with analyses of functional connectivity in regions associated with resting state and working memory. Network topology was fairly stable across repeated sessions of the same task, but varied significantly between rest and working memory. In the whole brain analysis, local efficiency, Eloc, differed significantly between rest and working memory. Analyses of network statistics for the precuneus and dorsolateral prefrontal cortex revealed significant differences in degree as a function of task state for both regions and in local efficiency for the precuneus. Conversely, no significant differences were observed across repeated sessions of the same state. CONCLUSIONS/SIGNIFICANCE: These findings suggest that network topology is fairly stable within individuals across time for the same state, but also fluid between states. Whole brain voxel-based network analyses may prove to be a valuable tool for exploring how functional connectivity changes in response to task demands.

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

    Directory of Open Access Journals (Sweden)

    Recep Colak

    2010-10-01

    Full Text Available 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

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

    Science.gov (United States)

    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

  14. Network Interaction of Universities in Higher Education System of Ural Macro-Region

    Directory of Open Access Journals (Sweden)

    Garold Efimovich Zborovsky

    2017-06-01

    Full Text Available The subject-matter of the analysis are the characteristics and forms of cooperation between universities of Ural Federal District on the basis of their typology. The purpose of the article is to substantiate the necessity and possibility of network interaction between universities of the macro-region. We prove the importance and potential effectiveness of universities network interaction in the terms of socio-economic uncertainty of the development of Ural Federal District and its higher education. Networking interaction and multilateral cooperation are considered as a new type of inter-universities relations, which can be activated and intensified by strengthening the relations of universities with stakeholders. The authors examine certain concrete forms and formats of network interaction and cooperation between universities and discuss selected cases of new type of relations. In it, they see the real and potential innovation of higher school nonlinear development processes. The statements of the article allow to confirm the hypothesis about the reality of strengthening the network interaction in macro-region. It can transform higher education in the driver of socio-economic development of Ural Federal District; ensure the competitiveness of higher education of the macro-region in the Russian and global educational space; enhance its role in the society; become one of the most significant elements of nonlinear models of higher education development in the country. The authors’ research is based on the interdisciplinary methodology including the potential of theoretical sociology, sociology of higher education, economic sociology, management theory, regional economics. The results of the study can form the basis for the improvement of the Ural Federal District’s educational policy.

  15. HIGH QUALITY FACADE SEGMENTATION BASED ON STRUCTURED RANDOM FOREST, REGION PROPOSAL NETWORK AND RECTANGULAR FITTING

    Directory of Open Access Journals (Sweden)

    K. Rahmani

    2018-05-01

    Full Text Available In this paper we present a pipeline for high quality semantic segmentation of building facades using Structured Random Forest (SRF, Region Proposal Network (RPN based on a Convolutional Neural Network (CNN as well as rectangular fitting optimization. Our main contribution is that we employ features created by the RPN as channels in the SRF.We empirically show that this is very effective especially for doors and windows. Our pipeline is evaluated on two datasets where we outperform current state-of-the-art methods. Additionally, we quantify the contribution of the RPN and the rectangular fitting optimization on the accuracy of the result.

  16. From cities and towns to urban networks in Germany – intra regional competition versus regional co-operation and inter regional competitiveness

    Directory of Open Access Journals (Sweden)

    Bernhard Mueller

    2000-01-01

    Full Text Available For many decades of the 20th century particular cities and towns were understood as integral parts of national and international urban systems. For many years the theory on central places and hierarchy of central places, first developed by Christaller and amended by Loesch, had a decisive influence on spatial research and regional development policies with guiding principles for urbanisation and the development of settlement patterns. However it is becoming ever more evident, that the planned effects of concepts for harmonising intra- and inter-regional differences were not reached. Moreover, inter-regional competition between neighbouring municipalities, as well as modern life styles and residential choices have caused the emergence of new settlement structures with dispersed spatial patterns and string functional ties. It is also true, that urban networking isn’t an easy task and that it inherently carries numerous obstacles.

  17. Intrinsic brain networks normalize with treatment in pediatric complex regional pain syndrome

    Science.gov (United States)

    Becerra, Lino; Sava, Simona; Simons, Laura E.; Drosos, Athena M.; Sethna, Navil; Berde, Charles; Lebel, Alyssa A.; Borsook, David

    2014-01-01

    Pediatric complex regional pain syndrome (P-CRPS) offers a unique model of chronic neuropathic pain as it either resolves spontaneously or through therapeutic interventions in most patients. Here we evaluated brain changes in well-characterized children and adolescents with P-CRPS by measuring resting state networks before and following a brief (median = 3 weeks) but intensive physical and psychological treatment program, and compared them to matched healthy controls. Differences in intrinsic brain networks were observed in P-CRPS compared to controls before treatment (disease state) with the most prominent differences in the fronto-parietal, salience, default mode, central executive, and sensorimotor networks. Following treatment, behavioral measures demonstrated a reduction of symptoms and improvement of physical state (pain levels and motor functioning). Correlation of network connectivities with spontaneous pain measures pre- and post-treatment indicated concomitant reductions in connectivity in salience, central executive, default mode and sensorimotor networks (treatment effects). These results suggest a rapid alteration in global brain networks with treatment and provide a venue to assess brain changes in CRPS pre- and post-treatment, and to evaluate therapeutic effects. PMID:25379449

  18. Intrinsic brain networks normalize with treatment in pediatric complex regional pain syndrome

    Directory of Open Access Journals (Sweden)

    Lino Becerra

    2014-01-01

    Full Text Available Pediatric complex regional pain syndrome (P-CRPS offers a unique model of chronic neuropathic pain as it either resolves spontaneously or through therapeutic interventions in most patients. Here we evaluated brain changes in well-characterized children and adolescents with P-CRPS by measuring resting state networks before and following a brief (median = 3 weeks but intensive physical and psychological treatment program, and compared them to matched healthy controls. Differences in intrinsic brain networks were observed in P-CRPS compared to controls before treatment (disease state with the most prominent differences in the fronto-parietal, salience, default mode, central executive, and sensorimotor networks. Following treatment, behavioral measures demonstrated a reduction of symptoms and improvement of physical state (pain levels and motor functioning. Correlation of network connectivities with spontaneous pain measures pre- and post-treatment indicated concomitant reductions in connectivity in salience, central executive, default mode and sensorimotor networks (treatment effects. These results suggest a rapid alteration in global brain networks with treatment and provide a venue to assess brain changes in CRPS pre- and post-treatment, and to evaluate therapeutic effects.

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

    Science.gov (United States)

    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.

  20. Regional IS Knowledge Networks: Elaborating the Theme of Relevance of IS Research

    Directory of Open Access Journals (Sweden)

    Mikael Söderström

    2003-01-01

    Full Text Available The purpose of this paper is to elaborate on the theme of the relevance of IS research. Based on recent experiments and experiences in the borderland between research and practice and politics we suggest some additions to the discussion of the IS research relevance in Fitzgerald (2001. One addition concerns relevance to whom, where we suggest considering a regional relevance through cultivation of regional IS knowledge networks. Such networks comprise regional knowledge production in collaboration between researchers and practitioners, and results are made public and tested in other organizations in addition to the research sites. This is closely related to the view of knowledge and research put forward by American pragmatism. A second addition is to complement Fitzgerald's suggestion to expose researchers to practice with the suggestion to expose practitioners to research. It is just as difficult to learn the 'true nature' of research from reading the executive summary in MIS Quarterly as it is to learn the 'true nature' of practice from a couple of interviews with practitioners. A regional IS knowledge network is an excellent opportunity for such double exposure.

  1. The Formation of the Eastern Africa Rabies Network: A Sub-Regional Approach to Rabies Elimination.

    Science.gov (United States)

    Pieracci, Emily G; Scott, Terence P; Coetzer, Andre; Athman, Mwatondo; Mutembei, Arithi; Kidane, Abraham Haile; Bekele, Meseret; Ayalew, Girma; Ntegeyibizaza, Samson; Assenga, Justine; Markalio, Godson; Munyua, Peninah; Nel, Louis H; Blanton, Jesse

    2017-01-01

    International rabies networks have been formed in many of the canine-rabies endemic regions around the world to create unified and directed regional approaches towards elimination. The aim of the first sub-regional Eastern Africa rabies network meeting, which included Kenya, Ethiopia, Tanzania, Rwanda, and Uganda, was to discuss how individual country strategies could be coordinated to address the unique challenges that are faced within the network. The Stepwise Approach towards Rabies Elimination and the Global Dog Rabies Elimination Pathway tool were used to stimulate discussion and planning to achieve the elimination of canine-mediated human rabies by 2030. Our analysis estimated a total dog population of 18.3 million dogs in the Eastern Africa region. The current dog vaccination coverage was estimated to be approximately 5% (915,000 dogs), with an estimated 4910 vaccinators available. Assuming that every vaccinator performs rabies vaccination, this equated to each vaccinator currently vaccinating 186 dogs per year, whilst the target would be to vaccinate 2609 dogs every year for the community to reach 70% coverage. In order to achieve the World Health Organization-recommended 70% vaccination coverage, an additional 11 million dogs need to be vaccinated each year, pointing to an average annual shortfall of $ 23 million USD in current spending to achieve elimination by 2030 across the region. Improved vaccination efficiency within the region could be achieved by improving logistics and/or incorporating multiple vaccination methods to increase vaccinator efficiency, and could serve to reduce the financial burden associated with rabies elimination. Regional approaches to rabies control are of value, as neighboring countries can share their unique challenges while, at the same time, common approaches can be developed and resource-saving strategies can be implemented.

  2. Attentional Performance is Correlated with the Local Regional Efficiency of Intrinsic Brain Networks

    Directory of Open Access Journals (Sweden)

    Junhai eXu

    2015-07-01

    Full Text Available Attention is a crucial brain function for human beings. Using neuropsychological paradigms and task-based functional brain imaging, previous studies have indicated that widely distributed brain regions are engaged in three distinct attention subsystems: alerting, orienting and executive control (EC. Here, we explored the potential contribution of spontaneous brain activity to attention by examining whether resting-state activity could account for individual differences of the attentional performance in normal individuals. The resting-state functional images and behavioral data from attention network test (ANT task were collected in 59 healthy subjects. Graph analysis was conducted to obtain the characteristics of functional brain networks and linear regression analyses were used to explore their relationships with behavioral performances of the three attentional components. We found that there was no significant relationship between the attentional performance and the global measures, while the attentional performance was associated with specific local regional efficiency. These regions related to the scores of alerting, orienting and EC largely overlapped with the regions activated in previous task-related functional imaging studies, and were consistent with the intrinsic dorsal and ventral attention networks (DAN/VAN. In addition, the strong associations between the attentional performance and specific regional efficiency suggested that there was a possible relationship between the DAN/VAN and task performances in the ANT. We concluded that the intrinsic activity of the human brain could reflect the processing efficiency of the attention system. Our findings revealed a robust evidence for the functional significance of the efficiently organized intrinsic brain network for highly productive cognitions and the hypothesized role of the DAN/ VAN at rest.

  3. Innovations in the Baltic Sea Region and Network Cooperation between Russia and the EU

    Directory of Open Access Journals (Sweden)

    Fedorov Gennady

    2013-03-01

    Full Text Available Transnational (involving countries and cross-border (involving adjacent regions of different countries cooperation and integration are rapidly developing in the Baltic Sea region. Russia lags behind the Nordic countries and Germany as far as innovative development is concerned; yet our national pace here is comparable to that of Poland and the three Baltic States. At the same time, the features of innovative cooperation vary a great deal depending on the group of countries involved in cooperation processes. Independent of its type, however, international cooperation is beneficial for all parties concerned and should therefore be more actively encouraged. Northwestern Federal District traditionally plays a special role in the development of EU-Russia cooperation, since a number of its regions border on the EU countries. The district participates in the development of network innovative structures within the Baltic Sea region. It takes an active part in cross-border cooperation — activities that involve the formation of transborder innovative clusters. There are high expectations associated with the formation of such territorially localised innovative networks, as the Helsinki — Saint Petersburg — Tallinn and Tricity (Gdansk, Gdynia, Sopot — Kaliningrad — Klaipeda transborder innovative clusters. The city of Saint Petersburg and the adjacent Leningrad region, as well as the Kaliningrad region can become innovative development corridors between Russia and the EU and, eventually, develop into the ‘economic growth poles’ of the Russian Federation.

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

    Science.gov (United States)

    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. A regional GNSS-VTEC model over Nigeria using neural networks: A novel approach

    Directory of Open Access Journals (Sweden)

    Daniel Okoh

    2016-01-01

    Full Text Available A neural network model of the Global Navigation Satellite System – vertical total electron content (GNSS-VTEC over Nigeria is developed. A new approach that has been utilized in this work is the consideration of the International Reference Ionosphere's (IRI's critical plasma frequency (foF2 parameter as an additional neuron for the network's input layer. The work also explores the effects of using various other input layer neurons like disturbance storm time (DST and sunspot number. All available GNSS data from the Nigerian Permanent GNSS Network (NIGNET were used, and these cover the period from 2011 to 2015, for 14 stations. Asides increasing the learning accuracy of the networks, the inclusion of the IRI's foF2 parameter as an input neuron is ideal for making the networks to learn long-term solar cycle variations. This is important especially for regions, like in this work, where the GNSS data is available for less than the period of a solar cycle. The neural network model developed in this work has been tested for time-varying and spatial performances. The latest 10% of the GNSS observations from each of the stations were used to test the forecasting ability of the networks, while data from 2 of the stations were entirely used for spatial performance testing. The results show that root-mean-squared-errors were generally less than 8.5 TEC units for all modes of testing performed using the optimal network. When compared to other models, the model developed in this work was observed to reduce the prediction errors to about half those of the NeQuick and the IRI model.

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

    Science.gov (United States)

    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. Parameters of Regional Cooperative Behavior in the German Biotech Industry – A Quantitative Social Network Analysis

    DEFF Research Database (Denmark)

    Mitze, Timo; Strotebeck, Falk

    We analyse the determinants of network formation in Germany’s biotechnology industry using social network analysis combined with a regression approach for count data. Outcome variable of interest is the degree centrality of German regions, which is specified as a function of the region’s innovative...... and economic performance as well as biotech-related policy variables. The inclusion of the latter allows us to shed new light on the question to what extent R&D-based cluster policies are able to impact on the formation of the German biotech network. Our results show that policy indicators such as the volume...... of public funding for collaborative R&D activity are positively correlated with the region’s overall and interregional degree centrality. However, besides this direct funding effect, we do not observe any further (non-pecuniary) advantages such as prestige or image effects. Regarding the role played...

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

    Science.gov (United States)

    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

  9. The spatial spread of schistosomiasis: A multidimensional network model applied to Saint-Louis region, Senegal

    Science.gov (United States)

    Ciddio, Manuela; Mari, Lorenzo; Sokolow, Susanne H.; De Leo, Giulio A.; Casagrandi, Renato; Gatto, Marino

    2017-10-01

    Schistosomiasis is a parasitic, water-related disease that is prevalent in tropical and subtropical areas of the world, causing severe and chronic consequences especially among children. Here we study the spatial spread of this disease within a network of connected villages in the endemic region of the Lower Basin of the Senegal River, in Senegal. The analysis is performed by means of a spatially explicit metapopulation model that couples local-scale eco-epidemiological dynamics with spatial mechanisms related to human mobility (estimated from anonymized mobile phone records), snail dispersal and hydrological transport of schistosome larvae along the main water bodies of the region. Results show that the model produces epidemiological patterns consistent with field observations, and point out the key role of spatial connectivity on the spread of the disease. These findings underline the importance of considering different transport pathways in order to elaborate disease control strategies that can be effective within a network of connected populations.

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

    Energy Technology Data Exchange (ETDEWEB)

    None

    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)

  11. Virtual Community, social network and media environment of Canary Isands regional digital newspapers

    Directory of Open Access Journals (Sweden)

    Dr. Francisco Manuel Mateos Rodríguez

    2008-01-01

    Full Text Available The impact of the new communication and information technologies has favoured the creation of multiple local newspaper websites in the Canary Islands, thus making the regional press emerge as an alternative on the rise. This tendency affects significantly both traditional and new editions of the different regional and local newspapers from the Canaries and motivates a different distribution, positioning and development within the local media environment in which these media share a novel dimension of communication with a specific virtual community and social network within the World Wide Web.

  12. Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region

    OpenAIRE

    Coutinho, Mauro Margalho; Efrat, Alon; Johnson, Thienne; Richa, Andrea; Liu, Mengxue

    2014-01-01

    This paper investigates the feasibility of using boats as data mule nodes, carrying medical ultrasound videos from remote and isolated communities in the Amazon region in Brazil, to the main city of that area. The videos will be used by physicians to perform remote analysis and follow-up routine of prenatal examinations of pregnant women. Two open source simulators (the ONE and NS-2) were used to evaluate the results obtained utilizing a CoDPON (continuous displacement plan oriented network)....

  13. Functional neuroimaging with default mode network regions distinguishes PTSD from TBI in a military veteran population

    OpenAIRE

    Raji, Cyrus A.; Willeumier, Kristen; Taylor, Derek; Tarzwell, Robert; Newberg, Andrew; Henderson, Theodore A.; Amen, Daniel G.

    2015-01-01

    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 individua...

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

    Directory of Open Access Journals (Sweden)

    Elizabeth A Osterndorff-Kahanek

    Full Text Available 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.

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

    Science.gov (United States)

    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

  16. Network analysis of mesoscale optical recordings to assess regional, functional connectivity.

    Science.gov (United States)

    Lim, Diana H; LeDue, Jeffrey M; Murphy, Timothy H

    2015-10-01

    With modern optical imaging methods, it is possible to map structural and functional connectivity. Optical imaging studies that aim to describe large-scale neural connectivity often need to handle large and complex datasets. In order to interpret these datasets, new methods for analyzing structural and functional connectivity are being developed. Recently, network analysis, based on graph theory, has been used to describe and quantify brain connectivity in both experimental and clinical studies. We outline how to apply regional, functional network analysis to mesoscale optical imaging using voltage-sensitive-dye imaging and channelrhodopsin-2 stimulation in a mouse model. We include links to sample datasets and an analysis script. The analyses we employ can be applied to other types of fluorescence wide-field imaging, including genetically encoded calcium indicators, to assess network properties. We discuss the benefits and limitations of using network analysis for interpreting optical imaging data and define network properties that may be used to compare across preparations or other manipulations such as animal models of disease.

  17. Medicinal plants growing in the Judea region: network approach for searching potential therapeutic targets

    Directory of Open Access Journals (Sweden)

    Arie Budovsky

    2012-09-01

    Full Text Available Plants growing in the Judea region are widely used in traditional medicine of the Levant region. Nevertheless, they have not so far been sufficiently analyzed and their medicinal potential has not been evaluated. This study is the first attempt to fill the gap in the knowledge of the plants growing in the region. Comprehensive data mining of online botanical databases and peer-reviewed scientific literature including ethno-pharmacological surveys from the Levant region was applied to compile a full list of plants growing in the Judea region, with the focus on their medicinal applications. Around 1300 plants growing in the Judea region were identified. Of them, 25% have medicinal applications which were analyzed in this study. Screening for chemical-protein interactions, together with the network-based analysis of potential targets, will facilitate discovery and therapeutic applications of the Judea region plants. Such an approach could also be applied as an integrative platform for further searching the potential therapeutic targets of plants growing in other regions of the world.

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

    Science.gov (United States)

    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.

  19. A Study on Regional Frequency Analysis using Artificial Neural Network - the Sumjin River Basin

    Science.gov (United States)

    Jeong, C.; Ahn, J.; Ahn, H.; Heo, J. H.

    2017-12-01

    Regional frequency analysis means to make up for shortcomings in the at-site frequency analysis which is about a lack of sample size through the regional concept. Regional rainfall quantile depends on the identification of hydrologically homogeneous regions, hence the regional classification based on hydrological homogeneous assumption is very important. For regional clustering about rainfall, multidimensional variables and factors related geographical features and meteorological figure are considered such as mean annual precipitation, number of days with precipitation in a year and average maximum daily precipitation in a month. Self-Organizing Feature Map method which is one of the artificial neural network algorithm in the unsupervised learning techniques solves N-dimensional and nonlinear problems and be shown results simply as a data visualization technique. In this study, for the Sumjin river basin in South Korea, cluster analysis was performed based on SOM method using high-dimensional geographical features and meteorological factor as input data. then, for the results, in order to evaluate the homogeneity of regions, the L-moment based discordancy and heterogeneity measures were used. Rainfall quantiles were estimated as the index flood method which is one of regional rainfall frequency analysis. Clustering analysis using SOM method and the consequential variation in rainfall quantile were analyzed. This research was supported by a grant(2017-MPSS31-001) from Supporting Technology Development Program for Disaster Management funded by Ministry of Public Safety and Security(MPSS) of the Korean government.

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

    Science.gov (United States)

    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)…

  1. KoFlux: Korean Regional Flux Network in AsiaFlux

    Science.gov (United States)

    Kim, J.

    2002-12-01

    AsiaFlux, the Asian arm of FLUXNET, held the Second International Workshop on Advanced Flux Network and Flux Evaluation in Jeju Island, Korea on 9-11 January 2002. In order to facilitate comprehensive Asia-wide studies of ecosystem fluxes, the meeting launched KoFlux, a new Korean regional network of long-term micrometeorological flux sites. For a successful assessment of carbon exchange between terrestrial ecosystems and the atmosphere, an accurate measurement of surface fluxes of energy and water is one of the prerequisites. During the 7th Global Energy and Water Cycle Experiment (GEWEX) Asian Monsoon Experiment (GAME) held in Nagoya, Japan on 1-2 October 2001, the Implementation Committee of the Coordinated Enhanced Observing Period (CEOP) was established. One of the immediate tasks of CEOP was and is to identify the reference sites to monitor energy and water fluxes over the Asian continent. Subsequently, to advance the regional and global network of these reference sites in the context of both FLUXNET and CEOP, the Korean flux community has re-organized the available resources to establish a new regional network, KoFlux. We have built up domestic network sites (equipped with wind profiler and radiosonde measurements) over deciduous and coniferous forests, urban and rural rice paddies and coastal farmland. As an outreach through collaborations with research groups in Japan, China and Thailand, we also proposed international flux sites at ecologically and climatologically important locations such as a prairie on the Tibetan plateau, tropical forest with mixed and rapid land use change in northern Thailand. Several sites in KoFlux already begun to accumulate interesting data and some highlights are presented at the meeting. The sciences generated by flux networks in other continents have proven the worthiness of a global array of micrometeorological flux towers. It is our intent that the launch of KoFlux would encourage other scientists to initiate and

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

    Science.gov (United States)

    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 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.

  3. Therapeutic itineraries for patients with cerebrovascular accident: fragmentation of care in a regionalized health network

    Directory of Open Access Journals (Sweden)

    Márcia Cristina Rodrigues Fausto

    Full Text Available Abstract Objectives: to analyze the itineraries of patients with cerebrovascular accident (CVA in the Interstate health region in San Francisco Valley. Methods: this study uses the qualitative approach through the construction of Therapeutic Itineraries (IT. In the IT mapping the observation was prioritized on the different points and forms to access health service in search of care. Results: sixteen semi-structured interviews with healthcare users were conducted. There were diverse forms to access and provide services at the Rede Interestadual de Atenção à Saúde do Vale do Médio São Francisco-PEBA (Interstate Healthcare Network Region in the San Francisco Valley, which could be characterized by disorganized and uncoordinated care in the analyzed cases, despite the guarantee of hospital care. The Primary Health Care (APS teams are present at a care point with most of the patients' itineraries, however, little integration to the regionalized network and they were unable to perform their functions and coordinate the care. It is observed pilgrimage assistance, fragmented care and difficulties in receiving care after post hospitalization which is essential for the patients’ rehabilitation. Conclusions: traces of fragments of the regional health system are important warning signs that points out fragility in PEBA and demonstrate persistent gaps in the public health system to fulfil the responsibility and guarantee individuals’ right for health.

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

    Directory of Open Access Journals (Sweden)

    Richard eMiles

    2014-01-01

    Full Text Available 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 fibres 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.

  5. Effect of sample preparation and humidity on the photodegradation rate of CEES on pure and Zn doped anatase TiO2 nanoparticles prepared by homogeneous hydrolysis

    Czech Academy of Sciences Publication Activity Database

    Osterlund, L.; Štengl, Václav; Mattsson, A.; Bakardjieva, Snejana; Andersson, P.O.; Opluštil, F.

    2009-01-01

    Roč. 88, 1-2 (2009), s. 194-203 ISSN 0926-3373 Grant - others:Swedish Defence Materials Administration(SE) FMV E46484 Institutional research plan: CEZ:AV0Z40320502 Keywords : CEES * TiO2 * Photocatalysis Subject RIV: CA - Inorganic Chemistry Impact factor: 5.252, year: 2009

  6. 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).

    Science.gov (United States)

    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,…

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

    Science.gov (United States)

    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.

  8. Nash Equilibrium of an Energy Saving Strategy with Dual Rate Transmission in Wireless Regional Area Network

    Directory of Open Access Journals (Sweden)

    Zhanqiang Huo

    2017-01-01

    Full Text Available Wireless regional area network (WRAN adopts centralized network architecture and is currently one of the most typical cognitive radio networks. In order to reduce the energy consumption of the communication networks with the constraint of spectrum resource utilization, a working sleep mechanism is introduced into the base station (BS, and a novel energy saving strategy with dual rate transmission is proposed. Combining the multiple-vacation queue and priority queue, using the quasi-birth-death process and the matrix-geometric solution method, we assess the average latency and the forced termination probability of secondary user packets, as well as the energy saving ratio and the channel utilization of system. Based on the revenue-expenditure structure, a profit function is built, and then the Nash equilibrium behavior and the socially optimal behavior are investigated. With the help of the particle swarm optimization, an intelligent optimization algorithm to search the socially optimal arrival rate of secondary user packets is presented. In order to unify the arrival rates of secondary user packets with Nash equilibrium and social optimization, a reasonable pricing policy is formulated. In addition, system experiments are carried out to verify the effectiveness of the energy saving strategy and the rationality of the pricing policy.

  9. Visualization maps for the evolution of research hotspots in the field of regional health information networks.

    Science.gov (United States)

    Wang, Yanjun; Zheng, Jianzhong; Zhang, Ailian; Zhou, Wei; Dong, Haiyuan

    2018-03-01

    The aim of this study was to reveal research hotspots in the field of regional health information networks (RHINs) and use visualization techniques to explore their evolution over time and differences between countries. We conducted a literature review for a 50-year period and compared the prevalence of certain index terms during the periods 1963-1993 and 1994-2014 and in six countries. We applied keyword frequency analysis, keyword co-occurrence analysis, multidimensional scaling analysis, and network visualization technology. The total number of keywords was found to increase with time. From 1994 to 2014, the research priorities shifted from hospital planning to community health planning. The number of keywords reflecting information-based research increased. The density of the knowledge network increased significantly, and partial keywords condensed into knowledge groups. All six countries focus on keywords including Information Systems; Telemedicine; Information Service; Medical Records Systems, Computerized; Internet; etc.; however, the level of development and some research priorities are different. RHIN research has generally increased in popularity over the past 50 years. The research hotspots are evolving and are at different levels of development in different countries. Knowledge network mapping and perceptual maps provide useful information for scholars, managers, and policy-makers.

  10. Cytogenomic Integrative Network Analysis of the Critical Region Associated with Wolf-Hirschhorn Syndrome

    Directory of Open Access Journals (Sweden)

    Thiago Corrêa

    2018-01-01

    Full Text Available Deletions in the 4p16.3 region are associated with Wolf-Hirschhorn syndrome (WHS, a contiguous gene deletion syndrome involving variable size deletions. In this study, we perform a cytogenomic integrative analysis combining classical cytogenetic methods, fluorescence in situ hybridization (FISH, chromosomal microarray analysis (CMA, and systems biology strategies, to establish the cytogenomic profile involving the 4p16.3 critical region and suggest WHS-related intracellular cell signaling cascades. The cytogenetic and clinical patient profiles were evaluated. We characterized 12 terminal deletions, one interstitial deletion, two ring chromosomes, and one classical translocation 4;8. CMA allowed delineation of the deletions, which ranged from 3.7 to 25.6 Mb with breakpoints from 4p16.3 to 4p15.33. Furthermore, the smallest region of overlapping (SRO encompassed seven genes in a terminal region of 330 kb in the 4p16.3 region, suggesting a region of susceptibility to convulsions and microcephaly. Therefore, molecular interaction networks and topological analysis were performed to understand these WHS-related symptoms. Our results suggest that specific cell signaling pathways including dopamine receptor, NAD+ nucleosidase activity, and fibroblast growth factor-activated receptor activity are associated with the diverse pathological WHS phenotypes and their symptoms. Additionally, we identified 29 hub-bottlenecks (H-B nodes with a major role in WHS.

  11. Curriculum Framework (CF) Implementation Conference. Report of the Regional Educational Laboratory Network Program and the National Network of Eisenhower Mathematics and Science Regional Consortia (Hilton Head Island, South Carolina, January 26-27, 1995).

    Science.gov (United States)

    Palmer, Jackie; Powell, Mary Jo

    The Laboratory Network Program and the National Network of Eisenhower Mathematics and Science Regional Consortia, operating as the Curriculum Frameworks Task Force, jointly convened a group of educators involved in implementing state-level mathematics or science curriculum frameworks (CF). The Hilton Head (South Carolina) conference had a dual…

  12. Small businesses performance in West African border regions: Do social networks pay off?

    DEFF Research Database (Denmark)

    Kuepié, Mathias; Tenikué, Michel; Walther, Olivier

    networks are also the most successful in terms of monthly sales and profit. The paper shows that the overall economic performance of traders is affected by the socio-professional position of the actors with whom they are connected. While social ties with local religious leaders have no effect......This paper studies the link between economic performance and social networks in West Africa. Using first-hand data collected on 358 small-scale traders in five border markets between Niger, Nigeria and Benin, we are particularly interested in testing whether the most well-connected actors of trade...... on their business, support received from civil servants, politicians, and security authorities translates into economic performance. The paper also shows significant differences between countries, regions and marketplaces. Social connections developed with state representatives have a much greater effect...

  13. Fluid region segmentation in OCT images based on convolution neural network

    Science.gov (United States)

    Liu, Dong; Liu, Xiaoming; Fu, Tianyu; Yang, Zhou

    2017-07-01

    In the retinal image, characteristics of fluid have great significance for diagnosis in eye disease. In the clinical, the segmentation of fluid is usually conducted manually, but is time-consuming and the accuracy is highly depend on the expert's experience. In this paper, we proposed a segmentation method based on convolution neural network (CNN) for segmenting the fluid from fundus image. The B-scans of OCT are segmented into layers, and patches from specific region with annotation are used for training. After the data set being divided into training set and test set, network training is performed and a good segmentation result is obtained, which has a significant advantage over traditional methods such as threshold method.

  14. Local-regional networks of persons with abilities in radioprotection and other actors in radioprotection. Audit report

    International Nuclear Information System (INIS)

    Lefaure, Ch.

    2009-03-01

    As the regulation requires the existence of persons with abilities in radioprotection (PCR, personnes competentes en radioprotection) in many industrial, medical or research activities where ionizing radiations are present, in order to improve worker protection, these professionals who are much less acknowledged in these sectors than in the nuclear sector, felt the need to gather in regional and sector-based networks. This report proposes a presentation of three existing networks (the APCRAP, the Grand-Ouest network, and the Aquitaine-Sud-Ouest network). For each of them, the report addresses the following aspects: creation, objectives, statutes, members, activities, human, technical and financial resources, role. Then answers to a survey and to interviews are analyzed with respect to the professional sector and to the region, in terms of expectations towards the networks, and in terms of network operation and services. Interviews of institutional actors and union and management representatives are also analysed

  15. Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation

    Science.gov (United States)

    Karargyros, Alex; Syeda-Mahmood, Tanveer

    2018-02-01

    Deep learning networks are gaining popularity in many medical image analysis tasks due to their generalized ability to automatically extract relevant features from raw images. However, this can make the learning problem unnecessarily harder requiring network architectures of high complexity. In case of anomaly detection, in particular, there is often sufficient regional difference between the anomaly and the surrounding parenchyma that could be easily highlighted through bottom-up saliency operators. In this paper we propose a new hybrid deep learning network using a combination of raw image and such regional maps to more accurately learn the anomalies using simpler network architectures. Specifically, we modify a deep learning network called U-Net using both the raw and pre-segmented images as input to produce joint encoding (contraction) and expansion paths (decoding) in the U-Net. We present results of successfully delineating subdural and epidural hematomas in brain CT imaging and liver hemangioma in abdominal CT images using such network.

  16. Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.

    Science.gov (United States)

    Diniz, Pedro Henrique Bandeira; Valente, Thales Levi Azevedo; Diniz, João Otávio Bandeira; Silva, Aristófanes Corrêa; Gattass, Marcelo; Ventura, Nina; Muniz, Bernardo Carvalho; Gasparetto, Emerson Leandro

    2018-04-19

    White matter lesions are non-static brain lesions that have a prevalence rate up to 98% in the elderly population. Because they may be associated with several brain diseases, it is important that they are detected as soon as possible. Magnetic Resonance Imaging (MRI) provides three-dimensional data with the possibility to detect and emphasize contrast differences in soft tissues, providing rich information about the human soft tissue anatomy. However, the amount of data provided for these images is far too much for manual analysis/interpretation, representing a difficult and time-consuming task for specialists. This work presents a computational methodology capable of detecting regions of white matter lesions of the brain in MRI of FLAIR modality. The techniques highlighted in this methodology are SLIC0 clustering for candidate segmentation and convolutional neural networks for candidate classification. The methodology proposed here consists of four steps: (1) images acquisition, (2) images preprocessing, (3) candidates segmentation and (4) candidates classification. The methodology was applied on 91 magnetic resonance images provided by DASA, and achieved an accuracy of 98.73%, specificity of 98.77% and sensitivity of 78.79% with 0.005 of false positives, without any false positives reduction technique, in detection of white matter lesion regions. It is demonstrated the feasibility of the analysis of brain MRI using SLIC0 and convolutional neural network techniques to achieve success in detection of white matter lesions regions. Copyright © 2018. Published by Elsevier B.V.

  17. Steering or Networking: The Impact of Europe 2020 on Regional Governance Structures

    Directory of Open Access Journals (Sweden)

    Frederic Maes

    2015-09-01

    Full Text Available This article probes into how regions organize themselves to deal effectively with the Europe 2020 reform program. More specifically, it maps governance structures of regional policy-making and implementation of Europe 2020 and explains variation in these structures between policy domains and policy stages. The empirical focus is Flanders as this Belgian region possesses substantial legislative and executive autonomy and is therefore highly affected by the Europe 2020 program. The article distinguishes between policy-making (upload and implementation stages (download in education, energy and poverty policies. It is hypothesized that the varying impact of Europe 2020 can be attributed to the varying adaptational pressure of EU programs and a set of domestic intervening factors. Findings indicate variation between policy domains and policy stages on a continuum from lead-organization governed networks to shared participant governance networks. Overall, the extent to which Flanders is competent seems to be crucial. In addition, a substantial administrative capacity is needed to firmly steer and coordinate the governance structures that manage Europe 2020 policies. The level of integration further increases the extent to which Flemish Europe 2020 policies are steered.

  18. Connecting the 'workshop of the world': intra- and extra-service networks of the Pearl River Delta city-region

    NARCIS (Netherlands)

    Zhang, X.; Kloosterman, R.C.

    2016-01-01

    Most research on globalization and city-regions in developing countries has focused on manufacturing activities, disregarding the considerable growth of producer services. Drawing on the Interlocking Network Model, this article presents a first analysis of the intra- and extra-service networks of

  19. A Regional GPS Receiver Network For Monitoring Mid-latitude Total Electron Content During Storms

    Science.gov (United States)

    Vernon, A.; Cander, Lj. R.

    A regional GPS receiver network has been used for monitoring mid-latitude total elec- tron content (TEC) during ionospheric storms at the current solar maximum. Differ- ent individual storms were examined to study how the temporal patterns of changes develop and how they are related to solar and geomagnetic activity for parameter de- scriptive of plasmaspheric-ionospheric ionisation. Use is then made of computer con- touring techniques to produce snapshot maps of TEC for different study cases. Com- parisons with the local ionosonde data at different phases of the storms enable the storm developments to be studied in detail.

  20. A Cost-based Explanation of Gradual, Regional Internationalization of Multinationals on Social Networking Sites

    DEFF Research Database (Denmark)

    Pogrebnyakov, Nicolai

    2017-01-01

    This paper examines firm internationalization on social networking sites (SNS). It systematically examines costs faced by an internationalizing firm and how firms react to these costs according to “distance-dependent” (gradual and regional) and “distance-invariant” (born-global) explanations...... of internationalization. Data on 5827 country pages of 240 multinational firms on Facebook, the most popular SNS today, is used. Creating a foreign country-specific Facebook page is considered the SNS equivalent of opening a physical subsidiary in that country. The data show that multinationals exhibit...

  1. Optimal 2-Coverage of a Polygonal Region in a Sensor Network

    Directory of Open Access Journals (Sweden)

    Inês Matos

    2009-09-01

    Full Text Available Wireless sensor networks are a relatively new area where technology is developing fast and are used to solve a great diversity of problems that range from museums’ security to wildlife protection. The geometric optimisation problem solved in this paper is aimed at minimising the sensors’ range so that every point on a polygonal region R is within the range of at least two sensors. Moreover, it is also shown how to minimise the sensors’ range to assure the existence of a path within R that stays as close to two sensors as possible.

  2. Regional brain network organization distinguishes the combined and inattentive subtypes of Attention Deficit Hyperactivity Disorder.

    Science.gov (United States)

    Saad, Jacqueline F; Griffiths, Kristi R; Kohn, Michael R; Clarke, Simon; Williams, Leanne M; Korgaonkar, Mayuresh S

    2017-01-01

    Attention Deficit Hyperactivity Disorder (ADHD) is characterized clinically by hyperactive/impulsive and/or inattentive symptoms which determine diagnostic subtypes as Predominantly Hyperactive-Impulsive (ADHD-HI), Predominantly Inattentive (ADHD-I), and Combined (ADHD-C). Neuroanatomically though we do not yet know if these clinical subtypes reflect distinct aberrations in underlying brain organization. We imaged 34 ADHD participants defined using DSM-IV criteria as ADHD-I ( n  = 16) or as ADHD-C ( n  = 18) and 28 matched typically developing controls, aged 8-17 years, using high-resolution T1 MRI. To quantify neuroanatomical organization we used graph theoretical analysis to assess properties of structural covariance between ADHD subtypes and controls (global network measures: path length, clustering coefficient, and regional network measures: nodal degree). As a context for interpreting network organization differences, we also quantified gray matter volume using voxel-based morphometry. Each ADHD subtype was distinguished by a different organizational profile of the degree to which specific regions were anatomically connected with other regions (i.e., in "nodal degree"). For ADHD-I (compared to both ADHD-C and controls) the nodal degree was higher in the hippocampus. ADHD-I also had a higher nodal degree in the supramarginal gyrus, calcarine sulcus, and superior occipital cortex compared to ADHD-C and in the amygdala compared to controls. By contrast, the nodal degree was higher in the cerebellum for ADHD-C compared to ADHD-I and in the anterior cingulate, middle frontal gyrus and putamen compared to controls. ADHD-C also had reduced nodal degree in the rolandic operculum and middle temporal pole compared to controls. These regional profiles were observed in the context of no differences in gray matter volume or global network organization. Our results suggest that the clinical distinction between the Inattentive and Combined subtypes of ADHD may also be

  3. Case Library Construction Technology of Energy Loss in Distribution Networks Considering Regional Differentiation Theory

    Directory of Open Access Journals (Sweden)

    Ze Yuan

    2017-11-01

    Full Text Available The grid structures, load levels, and running states of distribution networks in different supply regions are known as the influencing factors of energy loss. In this paper, the case library of energy loss is constructed to differentiate the crucial factors of energy loss in the different supply regions. First of all, the characteristic state values are selected as the representation of the cases based on the analysis of energy loss under various voltage classes and in different types of regions. Then, the methods of Grey Relational Analysis and the K-Nearest Neighbor are utilized to implement the critical technologies of case library construction, including case representation, processing, analysis, and retrieval. Moreover, the analysis software of the case library is designed based on the case library construction technology. Some case studies show that there are many differences and similarities concerning the factors that influence the energy loss in different types of regions. In addition, the most relevant sample case can be retrieved from the case library. Compared with the traditional techniques, constructing a case library provides a new way to find out the characteristics of energy loss in different supply regions and constitutes differentiated loss-reducing programs.

  4. Adaptive Steganalysis Based on Selection Region and Combined Convolutional Neural Networks

    Directory of Open Access Journals (Sweden)

    Donghui Hu

    2017-01-01

    Full Text Available Digital image steganalysis is the art of detecting the presence of information hiding in carrier images. When detecting recently developed adaptive image steganography methods, state-of-art steganalysis methods cannot achieve satisfactory detection accuracy, because the adaptive steganography methods can adaptively embed information into regions with rich textures via the guidance of distortion function and thus make the effective steganalysis features hard to be extracted. Inspired by the promising success which convolutional neural network (CNN has achieved in the fields of digital image analysis, increasing researchers are devoted to designing CNN based steganalysis methods. But as for detecting adaptive steganography methods, the results achieved by CNN based methods are still far from expected. In this paper, we propose a hybrid approach by designing a region selection method and a new CNN framework. In order to make the CNN focus on the regions with complex textures, we design a region selection method by finding a region with the maximal sum of the embedding probabilities. To evolve more diverse and effective steganalysis features, we design a new CNN framework consisting of three separate subnets with independent structure and configuration parameters and then merge and split the three subnets repeatedly. Experimental results indicate that our approach can lead to performance improvement in detecting adaptive steganography.

  5. Energy-Efficient Region Shift Scheme to Support Mobile Sink Group in Wireless Sensor Networks.

    Science.gov (United States)

    Yim, Yongbin; Kim, Kyong Hoon; Aldwairi, Monther; Kim, Ki-Il

    2017-12-30

    Mobile sink groups play crucial roles to perform their own missions in many wireless sensor network (WSN) applications. In order to support mobility of such sink groups, it is important to design a mechanism for effective discovery of the group in motion. However, earlier studies obtain group region information by periodic query. For that reason, the mechanism leads to significant signaling overhead due to frequent flooding for the query regardless of the group movement. Furthermore, the mechanism worsens the problem by the flooding in the whole expected area. To deal with this problem, we propose a novel mobile sink group support scheme with low communication cost, called Region-Shift-based Mobile Geocasting Protocol (RSMGP). In this study, we utilize the group mobility feature for which members of a group have joint motion patterns. Thus, we could trace group movement by shifting the region as much as partial members move out of the previous region. Furthermore, the region acquisition is only performed at the moment by just deviated members without collaboration of all members. Experimental results validate the improved signaling overhead of our study compared to the previous studies.

  6. Influence of university network structures on forming the network environment of regional economy (on the example of national research universities of Tatarstan Republic

    Directory of Open Access Journals (Sweden)

    Darya-Anna Alekseevna Kaibiyainen

    2015-03-01

    Full Text Available Objective to elaborate theoretical and applied aspects of the processes of forming the new network institutional environment of the Russian regional economy under the influence of the developing integral educational network structures basing on the study of the experience of national research universities of Tatarstan Republic Methods general scientific logical methods of analysis and synthesis induction and deduction scientific abstraction as well as the method of systemicfunctional analysis. Results the practical examples are revealed and analyzed of introducing the new network integral principles into the functioning of national research universities which have a real economic effect and influencing such indicators of regional economy as the growth of employment reduction of unemployment etc. Scientific novelty problems of network structures development in the Russian education have not been thoroughly studied yet. The article analyzes the experience reveals and describes the methods and techniques of forming the network educational structures in the functioning of national research universities in Tatarstan Republic Practical value the author shows the ability of network university structures not only to play a significant role forming the new institutional environment of the regional economy but also to influence the macro and microeconomic indicators of development of the region and the country. nbsp

  7. Evolution and strengthening of the Calabrian Regional Seismic Network during the Pollino sequence

    Science.gov (United States)

    D'Alessandro, Antonino; Gervasi, Anna; Guerra, Ignazio

    2013-04-01

    In the last three years the Calabria-Lucania border area is affected by an intense seismic activity generated by the activation of geological structures which be seat of clusters of microearthquakes, with energy release sufficient to be felt and to generate alarm and bother. Besides to the historical memory of the inhabitants of Mormanno (the town most affected of macroseismic effects) there are some historical documents that indicate the occurrence of a similar seismic crisis in 1888. A more recent seismic sequence, the first monitored by seismic instruments, occurred in 1973-1974. In the last case, the activity started in early 2010 and is still ongoing. The two shocks of ML = 4.3 and 5.0 and the the very long time duration differs this crisis from the previous ones. Given this background, in 1981 was installed at Mormanno a seismic station (MMN) belonging to Regional Seismic Network of the University of Calabria (RSRC), now also a station of the Italian National Seismic Network of the Istituto Nazionale di Geofisica Vulcanolgia (INSN-INGV). This seismic station made it possible to follow the evolution of seismicity in this area and in particular the progressive increase in seismic activity started in 2010. Since 2010, some 3D stand-alone, was installed by the University of Calabria. Further stations of INGV were installed in November 2011 after a sharp increase of the energy release and subsequently by the INGV and the GeoForschungsZentrum (Potsdam) after the main shock of the whole sequence. Seismic networks are powerful tools for understanding active tectonic processes in a monitored seismically active region. However, the optimal monitoring of a seismic region requires the assessment of the seismic network capabilities to identify seismogenic areas that are not adequately covered and to quantify measures that will allow the network improvement. In this paper we examine in detail the evolution and the strengthening of the RSRC in the last years analyzing the

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

    Science.gov (United States)

    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.

  9. REGION OF NON-INTEREST BASED DIGITAL IMAGE WATERMARKING USING NEURAL NETWORKS

    Directory of Open Access Journals (Sweden)

    Bibi Isac

    2011-11-01

    Full Text Available Copyrights protection of digital data become inevitable in current world. Digital watermarks have been recently proposed as secured scheme for copyright protection, authentication, source tracking, and broadcast monitoring of video, audio, text data and digital images. In this paper a method to embed a watermark in region of non-interest (RONI and a method for adaptive calculation of strength factor using neural network are proposed. The embedding and extraction processes are carried out in the transform domain by using Discrete Wavelet Transform (DWT. Finally, the algorithm robustness is tested against noise addition attacks and geometric distortion attacks. The results authenticate that the proposed watermarking algorithm does not degrade the quality of cover image as the watermark is inserted only in region of non-interest and is resistive to attacks.

  10. Efficient airport detection using region-based fully convolutional neural networks

    Science.gov (United States)

    Xin, Peng; Xu, Yuelei; Zhang, Xulei; Ma, Shiping; Li, Shuai; Lv, Chao

    2018-04-01

    This paper presents a model for airport detection using region-based fully convolutional neural networks. To achieve fast detection with high accuracy, we shared the conv layers between the region proposal procedure and the airport detection procedure and used graphics processing units (GPUs) to speed up the training and testing time. For lack of labeled data, we transferred the convolutional layers of ZF net pretrained by ImageNet to initialize the shared convolutional layers, then we retrained the model using the alternating optimization training strategy. The proposed model has been tested on an airport dataset consisting of 600 images. Experiments show that the proposed method can distinguish airports in our dataset from similar background scenes almost real-time with high accuracy, which is much better than traditional methods.

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

    Science.gov (United States)

    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.

  12. Energy-Efficient Fault-Tolerant Dynamic Event Region Detection in Wireless Sensor Networks

    DEFF Research Database (Denmark)

    Enemark, Hans-Jacob; Zhang, Yue; Dragoni, Nicola

    2015-01-01

    to a hybrid algorithm for dynamic event region detection, such as real-time tracking of chemical leakage regions. Considering the characteristics of the moving away dynamic events, we propose a return back condition for the hybrid algorithm from distributed neighborhood collaboration, in which a node makes......Fault-tolerant event detection is fundamental to wireless sensor network applications. Existing approaches usually adopt neighborhood collaboration for better detection accuracy, while need more energy consumption due to communication. Focusing on energy efficiency, this paper makes an improvement...... its detection decision based on decisions received from its spatial and temporal neighbors, to local non-communicative decision making. The simulation results demonstrate that the improved algorithm does not degrade the detection accuracy of the original algorithm, while it has better energy...

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

    Science.gov (United States)

    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

  14. Impact of connection density on regional cost differences for network operators in the Netherlands

    International Nuclear Information System (INIS)

    2009-04-01

    The Dutch Office of Energy Regulation ('Energiekamer') has an obligation to investigate the extent to which the electricity and gas distribution businesses (DNOs) in the Netherlands face different structural environments that result in regional cost differences which, in turn, could justify tariff differences. On the basis of previous studies, Energiekamer has identified 'water crossings' and 'local taxes' as allowable regional differences. To account for them, Energiekamer has introduced an adjustment to the regulated revenues formula in order to guarantee a level-playing field to the Dutch DNOs. In addition to these factors, it has been claimed that connection density may have an impact on distribution costs and that, therefore, regulated revenues should be adjusted to compensate for regional differences in connection density between DNOs. However, so far, the research in this field has been unable to identify a sufficiently robust relationship between cost and connection density to support this claim. In order to address this issue, Energiekamer has asked Frontier Economics and Consentec to further investigate the relationship between connection density and distribution costs in the Netherlands. Therefore, our analysis has aimed at determining whether, and to what extent, connection density in the Netherlands is a significant driver of the costs of electricity and gas distribution networks. The following three questions are answered: (1) Is connection density a significant cost driver in electricity and gas networks in the Netherlands?; (2) If so, which functional form (e.g. U-shaped) does this relationship have in the Netherlands?; (3) Finally, based on the evidence collected, is the influence of connection density sufficiently well-determined to be considered a regional difference in the Dutch regulatory framework?

  15. Temperature prediction model of asphalt pavement in cold regions based on an improved BP neural network

    International Nuclear Information System (INIS)

    Xu, Bo; Dan, Han-Cheng; Li, Liang

    2017-01-01

    Highlights: • Pavement temperature prediction model is presented with improved BP neural network. • Dynamic and static methods are presented to predict pavement temperature. • Pavement temperature can be excellently predicted in next 3 h. - Abstract: Ice cover on pavement threatens traffic safety, and pavement temperature is the main factor used to determine whether the wet pavement is icy or not. In this paper, a temperature prediction model of the pavement in winter is established by introducing an improved Back Propagation (BP) neural network model. Before the application of the BP neural network model, many efforts were made to eliminate chaos and determine the regularity of temperature on the pavement surface (e.g., analyze the regularity of diurnal and monthly variations of pavement temperature). New dynamic and static prediction methods are presented by improving the algorithms to intelligently overcome the prediction inaccuracy at the change point of daily temperature. Furthermore, some scenarios have been compared for different dates and road sections to verify the reliability of the prediction model. According to the analysis results, the daily pavement temperatures can be accurately predicted for the next 3 h from the time of prediction by combining the dynamic and static prediction methods. The presented method in this paper can provide technical references for temperature prediction of the pavement and the development of an early-warning system for icy pavements in cold regions.

  16. A light and faster regional convolutional neural network for object detection in optical remote sensing images

    Science.gov (United States)

    Ding, Peng; Zhang, Ye; Deng, Wei-Jian; Jia, Ping; Kuijper, Arjan

    2018-07-01

    Detection of objects from satellite optical remote sensing images is very important for many commercial and governmental applications. With the development of deep convolutional neural networks (deep CNNs), the field of object detection has seen tremendous advances. Currently, objects in satellite remote sensing images can be detected using deep CNNs. In general, optical remote sensing images contain many dense and small objects, and the use of the original Faster Regional CNN framework does not yield a suitably high precision. Therefore, after careful analysis we adopt dense convoluted networks, a multi-scale representation and various combinations of improvement schemes to enhance the structure of the base VGG16-Net for improving the precision. We propose an approach to reduce the test-time (detection time) and memory requirements. To validate the effectiveness of our approach, we perform experiments using satellite remote sensing image datasets of aircraft and automobiles. The results show that the improved network structure can detect objects in satellite optical remote sensing images more accurately and efficiently.

  17. Eco-Polycentric Urban Systems: An Ecological Region Perspective for Network Cities

    Directory of Open Access Journals (Sweden)

    André Botequilha-Leitão

    2012-04-01

    Full Text Available The research presented in this paper is a work in progress. It provides linkages between the author’s earlier research under the sustainable land planning framework (SLP and emergent ideas and planning and design strategies, centered on the (landscape ecological dimension of cities’ sustainability. It reviews several concepts, paradigms, and metaphors that have been emerging during the last decade, which can contribute to expand our vision on city planning and design. Among other issues, city form—monocentric, polycentric, and diffused—is discussed. The hypothesis set forth is that cities can improve the pathway to sustainability by adopting intermediate, network urban forms such as polycentric urban systems (PUS under a broader vision (as compared to the current paradigm, to make way to urban ecological regions. It discusses how both the principles of SLP and those emergent ideas can contribute to integrate PUS with their functional hinterland, adopting an ecosystemic viewpoint of cities. It proposes to redirect the current dominant economic focus of PUS to include all of the other functions that are essential to urbanites, such as production (including the 3Rs, recreation, and ecology in a balanced way. Landscape ecology principles are combined with complexity science in order to deal with uncertainty to improve regional systems’ resilience. Cooperation in its multiple forms is seen as a fundamental social, but also economic process contributing to the urban network functioning, including its evolving capabilities for self-organization and adaptation.

  18. Monasteries and social networks in the early medieval el Bierzo region

    Directory of Open Access Journals (Sweden)

    Iñaki Martín Viso

    2011-04-01

    Full Text Available This article analyses the influence of monasteries on the creation of social networks based on the specific case of the El Bierzo region. Six monasteries were chosen (Santa Leocadia de Castañeda, Santos Cosme y Damián de Burbia, San Salvador de Bárcena, San Pedro de Montes, Santiago de Peñalba, and San Julián de Samos in order to study three different parameters: the social agents that interacted with the monasteries, the shaping of the monastical estates and the geographical scale of their domains. As a result of this analysis, a typology based on the way in which the social networks were organized (monasteries of local scale, monasteries with religious prestige, and monasteries linked to the monarchy, has been clearly identified. Additionally, it highlights the existence of a decentralized social pattern in which the different aristocratic groups coexisted without fierce competition because they developed on a local-regional scale, in which the monasteries served as stage for their power.

  19. Healthcare regions and their care networks: an organizational-systemic model for SUS.

    Science.gov (United States)

    Santos, Lenir

    2017-04-01

    This paper describes a comprehensive effort to develop studies regarding Brazil's Unified Healthcare System (SUS), as a result of the combination of public services in a network that follows a region-based rationale (tripartite organization). The SUS emerges from such an integration and should be organized as such. The intention is to demonstrate that this type of organization is essential, given that Brazil is organized as a Federation, and all three governmental levels are, in a broad sense, equally responsible for healthcare. Healthcare services and actions are a complex set of activities that are interconnected on behalf of citizen health, which is a global concept that cannot be split up. Services must follow this rationale and be organized as such. Thus, healthcare services must be systematically organized to serve everyone equally, regardless of where a citizen lives. This systemic organization requires permanent interaction between federative units to discuss and operationalize reference services, funding and other technical and administrative aspects. These are the essential elements that make the SUS so complex and demand it be organized regionally, as a network of healthcare services.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  3. Ear Detection under Uncontrolled Conditions with Multiple Scale Faster Region-Based Convolutional Neural Networks

    Directory of Open Access Journals (Sweden)

    Yi Zhang

    2017-04-01

    Full Text Available Ear detection is an important step in ear recognition approaches. Most existing ear detection techniques are based on manually designing features or shallow learning algorithms. However, researchers found that the pose variation, occlusion, and imaging conditions provide a great challenge to the traditional ear detection methods under uncontrolled conditions. This paper proposes an efficient technique involving Multiple Scale Faster Region-based Convolutional Neural Networks (Faster R-CNN to detect ears from 2D profile images in natural images automatically. Firstly, three regions of different scales are detected to infer the information about the ear location context within the image. Then an ear region filtering approach is proposed to extract the correct ear region and eliminate the false positives automatically. In an experiment with a test set of 200 web images (with variable photographic conditions, 98% of ears were accurately detected. Experiments were likewise conducted on the Collection J2 of University of Notre Dame Biometrics Database (UND-J2 and University of Beira Interior Ear dataset (UBEAR, which contain large occlusion, scale, and pose variations. Detection rates of 100% and 98.22%, respectively, demonstrate the effectiveness of the proposed approach.

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    Fukuda eMegumi

    2015-03-01

    Full Text Available 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 two 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.

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

    Science.gov (United States)

    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

  7. The effectiveness of manufacturing practices in different subsidiary types – consequences for CEE subsidiaries

    DEFF Research Database (Denmark)

    Demeter, Krisztina; Szász, Levente; Boer, Harry

    In the last decades several companies have become manufacturing networks of plants, operating usually in an international context. These plants can serve different purposes and have different levels of competences. This diversity influences the use and effectiveness of different manufacturing...

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

    Science.gov (United States)

    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...

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

    Science.gov (United States)

    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. Copyright © 2014 Elsevier B.V. All rights reserved.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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

  13. Tectonic modeling of Konya-Beysehir Region (Turkey using cellular neural networks

    Directory of Open Access Journals (Sweden)

    D. Aydogan

    2007-06-01

    Full Text Available In this paper, to separate regional-residual anomaly maps and to detect borders of buried geological bodies, we applied the Cellular Neural Network (CNN approach to gravity and magnetic anomaly maps. CNN is a stochastic image processing technique, based optimization of templates, which imply relationships of neighborhood pixels in 2-Dimensional (2D potential anomalies. Here, CNN performance in geophysics, tested by various synthetic examples and the results are compared to classical methods such as boundary analysis and second vertical derivatives. After we obtained satisfactory results in synthetic models, we applied CNN to Bouguer anomaly map of Konya-Beysehir Region, which has complex tectonic structure with various fault combinations. We evaluated CNN outputs and 2D/3D models, which are constructed using forward and inversion methods. Then we presented a new tectonic structure of Konya-Beysehir Region. We have denoted (F1, F2, …, F7 and (Konya1, Konya2 faults according to our evaluations of CNN outputs. Thus, we have concluded that CNN is a compromising stochastic image processing technique in geophysics.

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

    Science.gov (United States)

    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.

  15. Development of the business area construction and energy of EnergieRegion Nuernberg. Transfer from project management to a regional network

    International Nuclear Information System (INIS)

    Seiverth, A.

    2006-01-01

    The association EnergieRegion Nuernberg is a regional authority network, which is employed with the promotion of sustainable handling of the factor energy in the region Nuernberg and with the proliferation of this region as internationally recognized location for energy engineering, energy industry and energy science. The intention is to use the important industrial, service-oriented and scientific potential optimally. For this reason a functional co-ordination and communication platform had to be created for the cross-linking of the appropriate participants from economics, research and public administration. Therefore, the author of the contribution under consideration accompanies the development process of the business field construction and energy of this association in the background of the current trends in the construction and energy sector in the region Nuernberg. Under this aspect, the author reports on the following aspects: (a) Success factors of the project management in a regional network; (b) Operationalisation of the success of the project by means of a model; (c) Analysis of the different aspects of energetic measures; (d) Determination of chances and risks of the range building and energy in the region Nuernberg; (e) Comparison of the success of the model projects with the model for the determination of project success; (f) Determination of strengths and weaknesses of the project management in the business field construction and energy of the energy region Nuernberg

  16. “Fake product? Why not!” Attitudes toward the consumption of counterfeit goods in CEE as shown on the example of Slovakia

    Directory of Open Access Journals (Sweden)

    Denisa Kasl Kollmannová

    2012-09-01

    Full Text Available This article focuses on the increasing consumption trend of counterfeit goods in the countries of CEE and on the consequences for the global market. Counterfeiting is not longer typical only for the luxury market, where branding together with genuine source plays a crucial role and the business of top luxury is rising during the crisis. New categories of counterfeit goods are emerging constantly, including electronics and computer parts, pharmaceuticals, even FMCG such as food, beverages or cosmetics. This article presents data from GfK research on attitudes towards counterfeit goods in Slovakia and puts it to the context of other CEE countries. It gives clear managerial implications on how to communicate the importance of originality, benefits for the consumer when consuming original goods and social marketing of ethical consumption.

  17. Rational pain management in complex regional pain syndrome 1 (CRPS 1)--a network meta-analysis.

    Science.gov (United States)

    Wertli, Maria M; Kessels, Alphons G H; Perez, Roberto S G M; Bachmann, Lucas M; Brunner, Florian

    2014-09-01

    Guidelines for complex regional pain syndrome (CRPS) 1 advocate several substance classes to reduce pain and support physical rehabilitation, but guidance about which agent should be prioritized when designing a therapeutic regimen is not provided. Using a network meta-analytic approach, we examined the efficacy of all agent classes investigated in randomized clinical trials of CRPS 1 and provide a rank order of various substances stratified by length of illness duration. In this study a network meta-analysis was conducted. The participants of this study were patients with CRPS 1. Searches in electronic, previous systematic reviews, conference abstracts, book chapters, and the reference lists of relevant articles were performed. Eligible studies were randomized controlled trials comparing at least one analgesic agent with placebo or with another analgesic and reporting efficacy in reducing pain. Summary efficacy stratified by symptom duration and length of follow-up was computed across all substance classes. Two authors independently extracted data. In total, 16 studies were included in the analysis. Bisphosphonates appear to be the treatment of choice in early stages of CRPS 1. The effects of calcitonin surpass that of bisphosphonates and other substances as a short-term medication in more chronic stages of the illness. While most medications showed some efficacy on short-term follow-up, only bisphosphonates, NMDA analogs, and vasodilators showed better long-term pain reduction than placebo. For some drug classes, only a few studies were available and many studies included a small group of patients. Insufficient data were available to analyze efficacy on disability. This network meta-analysis indicates that a rational pharmacological treatment strategy of pain management should consider bisphosphonates in early CRPS 1 and a short-term course of calcitonin in later stages. While most medications showed some efficacy on short-term follow-up, only bisphosphonates

  18. Forming of the regional core transport network taking into account the allocation of alternative energy sources based on artificial intelligence methods

    OpenAIRE

    Marina ZHURAVSKAYA; Vladimir TARASYAN

    2014-01-01

    In the modern world the alternative energy sources, which considerably depend on a region, play more and more significant role. However, the transition of regions to new energy sources lead to the change of transport and logistic network configuration. The formation of optimal core transport network today is a guarantee of the successful economic development of a region tomorrow. The present article studies the issue of advanced core transport network development in a region based on the ...

  19. Regional and international integrated telemedicine network for organ transplant (HC 4028 & IN 4028 European Commission DGXIII).

    Science.gov (United States)

    Vari, S G; Brugal, G; Godo, F; Bercic, B; Nagy, G; Avar, G; Adelh, D; Lagouarde, P

    2000-01-01

    A substantial portion of future medical practice will depend greatly on improved collaboration between the providers throughout the healthcare sector, and effective sharing of data and expertise by different healthcare professionals. In organ transplant it is a rule, donor organs are matched to recipients via national or multinational organ-sharing organizations. Only through close co-operation between transplant surgeons, immunologists, nephrologists, pathologists, radiologists and other physicians could one increase the efficiency of organ transplantation. Information technology (IT) has become an inevitable and inherent part of transplantation medicine. The RETRANSPLANT project interfaces and integrates IT from the European Union Fourth Framework projects to support the development of regional organ transplant information networks in Central Europe.

  20. Modelling the continuous cooling transformation diagram of engineering steels using neural networks. Part I. Phase regions

    Energy Technology Data Exchange (ETDEWEB)

    Wolk, P.J. van der; Wang, J. [Delft Univ. of Technology (Netherlands); Sietsma, J.; Zwaag, S. van der [Delft Univ. of Technology, Lab. for Materials Science (Netherlands)

    2002-12-01

    A neural network model for the calculation of the phase regions of the continuous cooling transformation (CCT) diagram of engineering steels has been developed. The model is based on experimental CCT diagrams of 459 low-alloy steels, and calculates the CCT diagram as a function of composition and austenitisation temperature. In considering the composition, 9 alloying elements are taken into account. The model reproduces the original diagrams rather accurately, with deviations that are not larger than the average experimental inaccuracy of the experimental diagrams. Therefore, it can be considered an adequate alternative to the experimental determination of the CCT diagram of a certain steel within the composition range used. The effects of alloying elements can be quantified, either individually or in combination, with the model. Nonlinear composition dependencies are observed. (orig.)

  1. Optimal region of latching activity in an adaptive Potts model for networks of neurons

    International Nuclear Information System (INIS)

    Abdollah-nia, Mohammad-Farshad; Saeedghalati, Mohammadkarim; Abbassian, Abdolhossein

    2012-01-01

    In statistical mechanics, the Potts model is a model for interacting spins with more than two discrete states. Neural networks which exhibit features of learning and associative memory can also be modeled by a system of Potts spins. A spontaneous behavior of hopping from one discrete attractor state to another (referred to as latching) has been proposed to be associated with higher cognitive functions. Here we propose a model in which both the stochastic dynamics of Potts models and an adaptive potential function are present. A latching dynamics is observed in a limited region of the noise(temperature)–adaptation parameter space. We hence suggest noise as a fundamental factor in such alternations alongside adaptation. From a dynamical systems point of view, the noise–adaptation alternations may be the underlying mechanism for multi-stability in attractor-based models. An optimality criterion for realistic models is finally inferred

  2. Radioactivity analysis of sounai region by gamma spectrometry and radiation monitoring network

    International Nuclear Information System (INIS)

    El-Mongy, S.A.; Abd El-Aziz, N.; El-Tahawy, M.S.; Morsy, S.

    2000-01-01

    Levels of natural and man-made radioactivity in soil and plant of southern sinai region are investigated by using Gamma- spectrometric analysis. The found average concentrations of 2 26Ra ( 2 38U) series, 2 32Th series and 4 0K are 20.2, 17.0 and 378.8 Bq/Kg respectively. The fall out 1 37Cs is the only man-made radionuclide detected with concentrations not exceed 3 Bq/Kg (dry weight) in both soil and plant samples. The effective dose rate equivalent are 106, 129, 114 and 104 n Sv/h for El-Tour, Sharm El-Shaik, Nwuiba and Taba as detected by the corresponding stations of the national radiation monitoring network (NRMN) respectively. The radium equivalent (Req) and absorbed dose rate resulted due to the natural radionuclides in soil are also calculated and given

  3. Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection

    KAUST Repository

    Bai, Yancheng

    2018-01-28

    Activity detection is a fundamental problem in computer vision. Detecting activities of different temporal scales is particularly challenging. In this paper, we propose the contextual multi-scale region convolutional 3D network (CMS-RC3D) for activity detection. To deal with the inherent temporal scale variability of activity instances, the temporal feature pyramid is used to represent activities of different temporal scales. On each level of the temporal feature pyramid, an activity proposal detector and an activity classifier are learned to detect activities of specific temporal scales. Temporal contextual information is fused into activity classifiers for better recognition. More importantly, the entire model at all levels can be trained end-to-end. Our CMS-RC3D detector can deal with activities at all temporal scale ranges with only a single pass through the backbone network. We test our detector on two public activity detection benchmarks, THUMOS14 and ActivityNet. Extensive experiments show that the proposed CMS-RC3D detector outperforms state-of-the-art methods on THUMOS14 by a substantial margin and achieves comparable results on ActivityNet despite using a shallow feature extractor.

  4. Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection

    KAUST Repository

    Bai, Yancheng; Xu, Huijuan; Saenko, Kate; Ghanem, Bernard

    2018-01-01

    Activity detection is a fundamental problem in computer vision. Detecting activities of different temporal scales is particularly challenging. In this paper, we propose the contextual multi-scale region convolutional 3D network (CMS-RC3D) for activity detection. To deal with the inherent temporal scale variability of activity instances, the temporal feature pyramid is used to represent activities of different temporal scales. On each level of the temporal feature pyramid, an activity proposal detector and an activity classifier are learned to detect activities of specific temporal scales. Temporal contextual information is fused into activity classifiers for better recognition. More importantly, the entire model at all levels can be trained end-to-end. Our CMS-RC3D detector can deal with activities at all temporal scale ranges with only a single pass through the backbone network. We test our detector on two public activity detection benchmarks, THUMOS14 and ActivityNet. Extensive experiments show that the proposed CMS-RC3D detector outperforms state-of-the-art methods on THUMOS14 by a substantial margin and achieves comparable results on ActivityNet despite using a shallow feature extractor.

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

    Science.gov (United States)

    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.

  6. A robust optimization model for green regional logistics network design with uncertainty in future logistics demand

    Directory of Open Access Journals (Sweden)

    Dezhi Zhang

    2015-12-01

    Full Text Available This article proposes a new model to address the design problem of a sustainable regional logistics network with uncertainty in future logistics demand. In the proposed model, the future logistics demand is assumed to be a random variable with a given probability distribution. A set of chance constraints with regard to logistics service capacity and environmental impacts is incorporated to consider the sustainability of logistics network design. The proposed model is formulated as a two-stage robust optimization problem. The first-stage problem before the realization of future logistics demand aims to minimize a risk-averse objective by determining the optimal location and size of logistics parks with CO2 emission taxes consideration. The second stage after the uncertain logistics demand has been determined is a scenario-based stochastic logistics service route choices equilibrium problem. A heuristic solution algorithm, which is a combination of penalty function method, genetic algorithm, and Gauss–Seidel decomposition approach, is developed to solve the proposed model. An illustrative example is given to show the application of the proposed model and solution algorithm. The findings show that total social welfare of the logistics system depends very much on the level of uncertainty in future logistics demand, capital budget for logistics parks, and confidence levels of the chance constraints.

  7. Representativeness of regional and global mass-balance measurement networks (Invited)

    Science.gov (United States)

    Cogley, J. G.; Moholdt, G.; Gardner, A. S.

    2013-12-01

    We showed in a recent publication that regional estimates of glacier mass budgets, obtained by interpolation from in-situ measurements, were markedly more negative than corresponding estimates by satellite gravimetry (GRACE) and satellite altimetry (ICESat) during 2003-2009. Examining the ICESat data in more detail, we found that in-situ records tend to be located in areas where glaciers are thinning more rapidly than as observed in their regional surroundings. Because neither GRACE nor ICESat can provide information for times before 2002-2003, and may not operate without interruption in the future, we explore possible explanations of and remedies for the identified bias in the in-situ network. Sparse spatial sampling, coupled with previously undetected spatial variability of mass balance at scales between the 10-km in-situ scale and the 350-km gravimetric scale, appears to be the leading explanation. Satisfactory remedies are not obvious. Selecting glaciers for in-situ measurement that are more representative will yield only incremental improvements. There appears to be no alternative to mass-balance modelling as a versatile tool for estimation of regional mass balance. However the meteorological data for forcing the surface components of glacier models have coarser resolution than is desirable and are themselves uncertain, especially in the remote regions where much of the glacier ice is found. Measurements of frontal (dynamic) mass changes are still difficult, and modelling of these changes remains underdeveloped in spite of recent advances. Thus research on a broad scale is called for in order to meet the challenge of producing more accurate hindcasts and projections of glacier mass budgets with fine spatial and temporal resolution.

  8. Research on investment decisions model of trans-regional transmission network based on the theory of NPV

    Science.gov (United States)

    Zai, Wenjiao; Wang, Bo; Liu, Jichun; Shi, Haobo; Zeng, Pingliang

    2018-02-01

    The investment decision model of trans-regional transmission network in the context of Global Energy Internet was studied in this paper. The key factors affecting the trans-regional transmission network investment income: the income tax rate, the loan interest rate, the expected return on investment of the investment subject, the per capita GDP and so on were considered in the transmission network investment income model. First, according to the principle of system dynamics, the causality diagram of key factors was constructed. Then, the dynamic model of transmission investment decision was established. A case study of the power transmission network between China and Mongolia, through the simulation of the system dynamic model, the influence of the above key factors on the investment returns was analyzed, and the feasibility and effectiveness of the model was proved.

  9. A CROSS-COUNTRY ANALYSIS OF THE BANKS’ FINANCIAL SOUNDNESS: THE CASE OF THE CEE-3 COUNTRIES

    Directory of Open Access Journals (Sweden)

    Sargu Alina Camelia

    2013-07-01

    Full Text Available The European integration process has a direct impact on all the components of the macroeconomic environment. The existence of a well functioning and sound banking sector becomes of great importance for the integration process as the European Union economy is financed especially through this channel. The banking sectors of the new EU member countries have undergone through tremendous changes in the last decade, both from an ownership and also from a business strategy point of view, these changes having a direct impact on their financial soundness. Thus, the aim of our research is to empirically examine the financial soundness of the banks operating in Bulgaria, Czech Republic and Romania, three EU members countries from Central and Eastern Europe (CEE-3. In order to achieve this we have employed a combine quantitative analysis based on the CAMELS framework (namely Capital Adequacy, Asset quality, Management soundness, Earnings, Liquidity, Sensitivity to market risk and the Z-score, thus being able to underline simultaneously the financial soundness and the possibility of default for the banks from our sample. The analysed period is 2004-2011 providing us with an evaluation of the impact that the EU ascension and also the global financial crisis had on the financial soundness of the analysed banks. Our sample is composed from 40 commercial banks that operate in Bulgaria, the Czech Republic and Romania, that overall own over 75% of the total banking assets, making this study one of the most comprehensive undertaken to this date. The data that we have employed in our research is obtained from the Bureau Van Dijk Bankscope database and the annual financial statements of the banks from our sample. The paper through its original dual approach contributes to the academic debate by providing not only insight into the financial soundness of the banks operating in the CEE-3 countries but also underling their financial strength through the usage of the Z

  10. Social capital in a regional inter-hospital network among trauma centers (trauma network): results of a qualitative study in Germany.

    Science.gov (United States)

    Loss, Julika; Weigl, Johannes; Ernstberger, Antonio; Nerlich, Michael; Koller, Michael; Curbach, Janina

    2018-02-26

    As inter-hospital alliances have become increasingly popular in the healthcare sector, it is important to understand the challenges and benefits that the interaction between representatives of different hospitals entail. A prominent example of inter-hospital alliances are certified 'trauma networks', which consist of 5-30 trauma departments in a given region. Trauma networks are designed to improve trauma care by providing a coordinated response to injury, and have developed across the USA and multiple European countries since the 1960s. Their members need to interact regularly, e.g. develop joint protocols for patient transfer, or discuss patient safety. Social capital is a concept focusing on the development and benefits of relations and interactions within a network. The aim of our study was to explore how social capital is generated and used in a regional German trauma network. In this qualitative study, we performed semi-standardized face-to-face interviews with 23 senior trauma surgeons (2013-14). They were the official representatives of 23 out of 26 member hospitals of the Trauma Network Eastern Bavaria. The interviews covered the structure and functioning of the network, climate and reciprocity within the network, the development of social identity, and different resources and benefits derived from the network (e.g. facilitation of interactions, advocacy, work satisfaction). Transcripts were coded using thematic content analysis. According to the interviews, the studied trauma network became a group of surgeons with substantial bonding social capital. The surgeons perceived that the network's culture of interaction was flat, and they identified with the network due to a climate of mutual respect. They felt that the inclusive leadership helped establish a norm of reciprocity. Among the interviewed surgeons, the gain of technical information was seen as less important than the exchange of information on political aspects. The perceived resources derived from

  11. Cooperation networks and innovation: A complex system perspective to the analysis and evaluation of a EU regional innovation policy programme

    OpenAIRE

    Russo, Margherita; Rossi, Federica

    2008-01-01

    Recent developments in innovation theory and policy have led policymakers to assign particular importance to supporting networks of cooperation among heterogeneous economic actors, especially in production systems composed of small and medium enterprises. Such innovative policies call for parallel innovations in policy analysis, monitoring and assessment. Our analysis of a policy experiment aimed at supporting innovation networks in the Italian region of Tuscany intends to address some issues...

  12. Hybrid inversions of CO2 fluxes at regional scale applied to network design

    Science.gov (United States)

    Kountouris, Panagiotis; Gerbig, Christoph; -Thomas Koch, Frank

    2013-04-01

    Long term observations of atmospheric greenhouse gas measuring stations, located at representative regions over the continent, improve our understanding of greenhouse gas sources and sinks. These mixing ratio measurements can be linked to surface fluxes by atmospheric transport inversions. Within the upcoming years new stations are to be deployed, which requires decision making tools with respect to the location and the density of the network. We are developing a method to assess potential greenhouse gas observing networks in terms of their ability to recover specific target quantities. As target quantities we use CO2 fluxes aggregated to specific spatial and temporal scales. We introduce a high resolution inverse modeling framework, which attempts to combine advantages from pixel based inversions with those of a carbon cycle data assimilation system (CCDAS). The hybrid inversion system consists of the Lagrangian transport model STILT, the diagnostic biosphere model VPRM and a Bayesian inversion scheme. We aim to retrieve the spatiotemporal distribution of net ecosystem exchange (NEE) at a high spatial resolution (10 km x 10 km) by inverting for spatially and temporally varying scaling factors for gross ecosystem exchange (GEE) and respiration (R) rather than solving for the fluxes themselves. Thus the state space includes parameters for controlling photosynthesis and respiration, but unlike in a CCDAS it allows for spatial and temporal variations, which can be expressed as NEE(x,y,t) = λG(x,y,t) GEE(x,y,t) + λR(x,y,t) R(x,y,t) . We apply spatially and temporally correlated uncertainties by using error covariance matrices with non-zero off-diagonal elements. Synthetic experiments will test our system and select the optimal a priori error covariance by using different spatial and temporal correlation lengths on the error statistics of the a priori covariance and comparing the optimized fluxes against the 'known truth'. As 'known truth' we use independent fluxes

  13. The relationship between context, structure, and processes with outcomes of 6 regional diabetes networks in Europe.

    Science.gov (United States)

    Mahdavi, Mahdi; Vissers, Jan; Elkhuizen, Sylvia; van Dijk, Mattees; Vanhala, Antero; Karampli, Eleftheria; Faubel, Raquel; Forte, Paul; Coroian, Elena; van de Klundert, Joris

    2018-01-01

    While health service provisioning for the chronic condition Type 2 Diabetes (T2D) often involves a network of organisations and professionals, most evidence on the relationships between the structures and processes of service provisioning and the outcomes considers single organisations or solo practitioners. Extending Donabedian's Structure-Process-Outcome (SPO) model, we investigate how differences in quality of life, effective coverage of diabetes, and service satisfaction are associated with differences in the structures, processes, and context of T2D services in six regions in Finland, Germany, Greece, Netherlands, Spain, and UK. Data collection consisted of: a) systematic modelling of provider network's structures and processes, and b) a cross-sectional survey of patient reported outcomes and other information. The survey resulted in data from 1459 T2D patients, during 2011-2012. Stepwise linear regression models were used to identify how independent cumulative proportion of variance in quality of life and service satisfaction are related to differences in context, structure and process. The selected context, structure and process variables are based on Donabedian's SPO model, a service quality research instrument (SERVQUAL), and previous organization and professional level evidence. Additional analysis deepens the possible bidirectional relation between outcomes and processes. The regression models explain 44% of variance in service satisfaction, mostly by structure and process variables (such as human resource use and the SERVQUAL dimensions). The models explained 23% of variance in quality of life between the networks, much of which is related to contextual variables. Our results suggest that effectiveness of A1c control is negatively correlated with process variables such as total hours of care provided per year and cost of services per year. While the selected structure and process variables explain much of the variance in service satisfaction, this is

  14. Research on the development efficiency of regional high-end talent in China: A complex network approach.

    Science.gov (United States)

    Zhang, Zhen; Wang, Minggang; Tian, Lixin; Zhang, Wenbin

    2017-01-01

    In this paper, based on the panel data of 31 provinces and cities in China from 1991 to 2016, the regional development efficiency matrix of high-end talent is obtained by DEA method, and the matrix is converted into a continuous change of complex networks through the construction of sliding window. Using a series of continuous changes in the complex network topology statistics, the characteristics of regional high-end talent development efficiency system are analyzed. And the results show that the average development efficiency of high-end talent in the western region is at a low level. After 2005, the national regional high-end talent development efficiency network has both short-range relevance and long-range relevance in the evolution process. The central region plays an important intermediary role in the national regional high-end talent development system. And the western region has high clustering characteristics. With the implementation of the high-end talent policies with regional characteristics by different provinces and cities, the relevance of high-end talent development efficiency in various provinces and cities presents a weakening trend, and the geographical characteristics of high-end talent are more and more obvious.

  15. Identification of T1D susceptibility genes within the MHC region by combining protein interaction networks and SNP genotyping data

    DEFF Research Database (Denmark)

    Brorsson, C.; Hansen, Niclas Tue; Hansen, Kasper Lage

    2009-01-01

    genes. We have developed a novel method that combines single nucleotide polymorphism (SNP) genotyping data with protein-protein interaction (ppi) networks to identify disease-associated network modules enriched for proteins encoded from the MHC region. Approximately 2500 SNPs located in the 4 Mb MHC......To develop novel methods for identifying new genes that contribute to the risk of developing type 1 diabetes within the Major Histocompatibility Complex (MHC) region on chromosome 6, independently of the known linkage disequilibrium (LD) between human leucocyte antigen (HLA)-DRB1, -DQA1, -DQB1...... region were analysed in 1000 affected offspring trios generated by the Type 1 Diabetes Genetics Consortium (T1DGC). The most associated SNP in each gene was chosen and genes were mapped to ppi networks for identification of interaction partners. The association testing and resulting interacting protein...

  16. CENS as a network for knowledge dissemination and for expertise on energy, nuclear safety and security

    International Nuclear Information System (INIS)

    Chakraborty, S.; Stoian, A.

    2005-01-01

    This is a time when the whole of Europe faces energy and environmental transitions. CEE countries face in addition the challenge of implementing medium- to long-term energy reforms in order to comply with EU legislation and practices. Crucial to the proper managing of these common and fundamental concerns is the cooperation between developed and transforming countries. At a lower level this implies that problems specific to CEE countries, such as fragmentation and lack of performing resources, can be overcome through collaboration and knowledge transfer within a network of concerned and competent entities. As an organization aiming to support environmental protection by enhancing the safety and security of nuclear facilities in CEE countries, CENS is focused on being an independent forum and platform organization for the dissemination of scientific and technical knowledge and of expertise in the nuclear and energy-related communities. In seeking to achieve this objective, CENS has over the past two years provided a system of networking and international membership for nuclear regulators in CEE countries and for technical support organizations from around Europe. (orig.)

  17. Analysis of datum-instability effect on calculated results of data from Longmen Mountain regional gravity network

    Directory of Open Access Journals (Sweden)

    Sun Shaoan

    2011-11-01

    Full Text Available A statistical correlation method is used to study the effect of instability of the calculation datum (used in traditional method of indirect adjustment on calculated gravity results, using data recorded by Long-men Mountain regional gravity network during 1996 – 2007. The result shows that when this effect is corrected, anomalous gravity changes before the 2008 Wenchuan Ms8.0 earthquake become obvious and characteristically distinctive. Thus the datum-stability problem must be considered when processing and analyzing data recorded by a regional gravity network.

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

    Science.gov (United States)

    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. Copyright © 2012 Elsevier Ltd. All rights reserved.

  19. BALTEX—an interdisciplinary research network for the Baltic Sea region

    International Nuclear Information System (INIS)

    Reckermann, Marcus; Langner, Joakim; Arheimer, Berit; Markus Meier, H E; Omstedt, Anders; Von Storch, Hans; Hünicke, Birgit; Keevallik, Sirje; Schneider, Bernd

    2011-01-01

    BALTEX is an environmental research network dealing with the Earth system of the entire Baltic Sea drainage basin. Important elements include the water and energy cycle, climate variability and change, water management and extreme events, and related impacts on biogeochemical cycles. BALTEX was founded in 1993 as a GEWEX continental-scale experiment and is currently in its second 10 yr phase. Phase I (1993–2002) was primarily dedicated to hydrological, meteorological and oceanographic processes in the Baltic Sea drainage basin, hence mostly dealt with the physical aspects of the system. Scientific focus was on the hydrological cycle and the exchange of energy between the atmosphere, the Baltic Sea and the surface of its catchment. The BALTEX study area was hydrologically defined as the Baltic Sea drainage basin. The second 10 yr phase of BALTEX (Phase II: 2003–12) has strengthened regional climate research, water management issues, biogeochemical cycles and overarching efforts to reach out to stakeholders and decision makers, as well as to foster communication and education. Achievements of BALTEX Phase II have been the establishment of an assessment report of regional climate change and its impacts on the Baltic Sea basin (from hydrological to biological and socio-economic), the further development of regional physical climate models and the integration of biogeochemical and ecosystem models. BALTEX features a strong infrastructure, with an international secretariat and a publication series, and organizes various workshops and conferences. This article gives an overview of the BALTEX programme, with an emphasis on Phase II, with some examples from BALTEX-related research.

  20. Landslide susceptibility assessment of SE Bartin (West Black Sea region, Turkey by artificial neural networks

    Directory of Open Access Journals (Sweden)

    M. Ercanoglu

    2005-01-01

    Full Text Available Landslides are significant natural hazards in Turkey, second only to earthquakes with respect to economic losses and casualties. The West Black Sea region of Turkey is known as one of the most landslide-prone regions in the country. The work presented in this paper is aimed at evaluating landslide susceptibility in a selected area in the West Black Sea region using Artificial Neural Network (ANN method. A total of 317 landslides were identified and mapped in the area by extensive field work and by use of air photo interpretations to build a landslide inventory map. A landslide database was then derived automatically from the landslide inventory map. To evaluate landslide susceptibility, six input parameters (slope angle, slope aspect, topographical elevation, topographical shape, wetness index, and vegetation index were used. To obtain maps of these parameters, Digital Elevation Model (DEM and ASTER satellite imagery of the study area were used. At the first stage, all data were normalized in [0, 1] interval, and parameter effects on landslide occurrence were expressed using Statistical Index values (Wi. Then, landslide susceptibility analyses were performed using an ANN. Finally, performance of the resulting map and the applied methodology is discussed relative to performance indicators, such as predicted areal extent of landslides and the strength of relation (rij value. Much of the areal extents of the landslides (87.2% were classified as susceptible to landsliding, and rij value of 0.85 showed a high degree of similarity. In addition to these, at the final stage, an independent validation strategy was followed by dividing the landslide data set into two parts and 82.5% of the validation data set was found to be correctly classified as landslide susceptible areas. According to these results, it is concluded that the map produced by the ANN is reliable and methodology applied in the study produced high performance, and satisfactory results.

  1. Are there any top FDI performers among EU-15 and CEE countries? A comparative panel data analysis

    Directory of Open Access Journals (Sweden)

    Miroslav Mateev

    2014-09-01

    Full Text Available This paper examines the major determinants of foreign direct investment (FDI inflows in 26 European Union (EU countries using panel data. Our empirical study takes a different approach by separating European countries into two groups: Western (EU-15 countries and Central and Eastern European (CEE countries. The results from the panel data analysis of FDI inflows to 26 EU countries for the period 1994-2012 show that: (1 traditional location variables such as market size, trade openness, unemployment, infrastructure, tax rate and unit labour costs are able, to a large extent, to explain FDI flows to both groups of countries; (2 there are country-specific factors such as economic growth, unit labour costs and credit risk that contribute to the differences in FDI patterns across EU-15 and CEECs; and (3 policy and institutional quality factors are found to play an important role for both groups of countries. When analyzing host countries based on their relative level of performance, we find that the top ten FDI performers are able to attract a significant amount of FDI because of their macroeconomic stability and high level of institutional development, while for EU countries with low FDI dominance, policy and institutional risk factors play a more important role.

  2. The ordered network structure and prediction summary for M ≥ 7 earthquakes in Xinjiang region of China

    International Nuclear Information System (INIS)

    Men, Ke-Pei; Zhao, Kai

    2014-01-01

    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 x 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.

  3. Network Connectedness, Sense of Community, and Risk Perception of Climate Change Professionals in the Pacific Islands Region

    Science.gov (United States)

    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

  4. Monitoring Instrument Performance in Regional Broadband Seismic Network Using Ambient Seismic Noise

    Science.gov (United States)

    Ye, F.; Lyu, S.; Lin, J.

    2017-12-01

    In the past ten years, the number of seismic stations has increased significantly, and regional seismic networks with advanced technology have been gradually developed all over the world. The resulting broadband data help to improve the seismological research. It is important to monitor the performance of broadband instruments in a new network in a long period of time to ensure the accuracy of seismic records. Here, we propose a method that uses ambient noise data in the period range 5-25 s to monitor instrument performance and check data quality in situ. The method is based on an analysis of amplitude and phase index parameters calculated from pairwise cross-correlations of three stations, which provides multiple references for reliable error estimates. Index parameters calculated daily during a two-year observation period are evaluated to identify stations with instrument response errors in near real time. During data processing, initial instrument responses are used in place of available instrument responses to simulate instrument response errors, which are then used to verify our results. We also examine feasibility of the tailing noise using data from stations selected from USArray in different locations and analyze the possible instrumental errors resulting in time-shifts used to verify the method. Additionally, we show an application that effects of instrument response errors that experience pole-zeros variations on monitoring temporal variations in crustal properties appear statistically significant velocity perturbation larger than the standard deviation. The results indicate that monitoring seismic instrument performance helps eliminate data pollution before analysis begins.

  5. An Assessment of the Seismicity of the Bursa Region from a Temporary Seismic Network

    Science.gov (United States)

    Gok, Elcin; Polat, Orhan

    2012-04-01

    A temporary earthquake station network of 11 seismological recorders was operated in the Bursa region, south of the Marmara Sea in the northwest of Turkey, which is located at the southern strand of the North Anatolian Fault Zone (NAFZ). We located 384 earthquakes out of a total of 582 recorded events that span the study area between 28.50-30.00°E longitudes and 39.75-40.75°N latitudes. The depth of most events was found to be less than 29 km, and the magnitude interval ranges were between 0.3 ≤ ML ≤ 5.4, with RMS less than or equal to 0.2. Seismic activities were concentrated southeast of Uludag Mountain (UM), in the Kestel-Igdir area and along the Gemlik Fault (GF). In the study, we computed 10 focal mechanisms from temporary and permanents networks. The predominant feature of the computed focal mechanisms is the relatively widespread near horizontal northwest-southeast (NW-SE) T-axis orientation. These fault planes have been used to obtain the orientation and shape factor (R, magnitude stress ratio) of the principal stress tensors (σ1, σ2, σ3). The resulting stress tensors reveal σ1 closer to the vertical (oriented NE-SW) and σ2, σ3 horizontal with R = 0.5. These results confirm that Bursa and its vicinity could be defined by an extensional regime showing a primarily normal to oblique-slip motion character. It differs from what might be expected from the stress tensor inversion for the NAFZ. Different fault patterns related to structural heterogeneity from the north to the south in the study area caused a change in the stress regime from strike-slip to normal faulting.

  6. Agents, Individuals, and Networks: Modeling Methods to Inform Natural Resource Management in Regional Landscapes

    Directory of Open Access Journals (Sweden)

    Lael Parrott

    2012-09-01

    Full Text Available Landscapes are complex systems. Landscape dynamics are the result of multiple interacting biophysical and socioeconomic processes that are linked across a broad range of spatial, temporal, and organizational scales. Understanding and describing landscape dynamics poses enormous challenges and demands the use of new multiscale approaches to modeling. In this synthesis article, we present three regional systems - i.e., a forest system, a marine system, and an agricultural system - and describe how hybrid, bottom-up modeling of these systems can be used to represent linkages across scales and between subsystems. Through the use of these three examples, we describe how modeling can be used to simulate emergent system responses to different conservation policy and management scenarios from the bottom up, thereby increasing our understanding of important drivers and feedback loops within a landscape. The first case study involves the use of an individual-based modeling approach to simulate the effects of forest harvesting on the movement patterns of large mammals in Canada's boreal forest and the resulting emergent population dynamics. This model is being used to inform forest harvesting and management guidelines. The second case study combines individual and agent-based approaches to simulate the dynamics of individual boats and whales in a marine park. This model is being used to inform decision-makers on how to mitigate the impacts of maritime traffic on whales in the Saint Lawrence Estuary in eastern Canada. The third example is a case study of biodiversity conservation efforts on the Eyre Peninsula, South Australia. In this example, the social-ecological system is represented as a complex network of interacting components. Methods of network analysis can be used to explore the emergent responses of the system to changes in the network structure or configuration, thus informing managers about the resilience of the system. These three examples

  7. A regional neural network model for predicting mean daily river water temperature

    Science.gov (United States)

    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

  8. The changing role of universities in the German research system: engagement in regional networks, clusters and beyond

    OpenAIRE

    Koschatzky, Knut; Stahlecker, Thomas

    2010-01-01

    In Germany, but in other countries as well, a trend towards a regionalisation in technology and innovation policy is clearly evident. This triggers the expectation towards universities to establish regional ties and networks and to exploit the advantages of spatial proximity to other research institutes, to industry and to policy and regional administration. It is the objective of this paper to analyse the changing role of universities as driving force in the development of new modes and mode...

  9. Regional trend analysis of surface ozone observations from monitoring networks in eastern North America, Europe and East Asia

    Science.gov (United States)

    Chang, K. L.; Petropavlovskikh, I. V.; Cooper, O. R.; Schultz, M.; Wang, T.

    2017-12-01

    Surface ozone is a greenhouse gas and pollutant detrimental to human health and crop and ecosystem productivity. The Tropospheric Ozone Assessment Report (TOAR) is designed to provide the research community with an up-to-date observation-based overview of tropospheric ozone's global distribution and trends. The TOAR Surface Ozone Database contains ozone metrics at thousands of monitoring sites around the world, densely clustered across mid-latitude North America, western Europe and East Asia. Calculating regional ozone trends across these locations is challenging due to the uneven spacing of the monitoring sites across urban and rural areas. To meet this challenge we conducted a spatial and temporal trend analysis of several TOAR ozone metrics across these three regions for summertime (April-September) 2000-2014, using the generalized additive mixed model (GAMM). Our analysis indicates that East Asia has the greatest human and plant exposure to ozone pollution among investigating regions, with increasing ozone levels through 2014. The results also show that ozone mixing ratios continue to decline significantly over eastern North America and Europe, however, there is less evidence for decreases of daytime average ozone at urban sites. The present-day spatial coverage of ozone monitors in East Asia (South Korea and Japan) and eastern North America is adequate for estimating regional trends by simply taking the average of the individual trends at each site. However the European network is more sparsely populated across its northern and eastern regions and therefore a simple average of the individual trends at each site does not yield an accurate regional trend. This analysis demonstrates that the GAMM technique can be used to assess the regional representativeness of existing monitoring networks, indicating those networks for which a regional trend can be obtained by simply averaging the trends of all individual sites and those networks that require a more

  10. Regional Research Networking: A Stimulus to Research Collaboration and Research Productivity.

    Science.gov (United States)

    McElmurry, Beverly J.; Minckley, Barbara B.

    1986-01-01

    Models for collegial networking as a means of increasing the participants' scholarly productivity are presented. A Midwestern historical methodology research interest group is described as an example of the long-term benefits of forming networks of scholars. (MSE)

  11. Measurement of traffic network vulnerability for Mississippi coastal region : final research report.

    Science.gov (United States)

    2017-08-15

    Natural disasters such as a hurricane can cause great damages to the transportation networks and significantly affect the evacuation trip operations. An accurate understanding and measurement of the network vulnerability can enhance the evacuees p...

  12. Extrinsic and Intrinsic Brain Network Connectivity Maintains Cognition across the Lifespan Despite Accelerated Decay of Regional Brain Activation.

    Science.gov (United States)

    Tsvetanov, Kamen A; Henson, Richard N A; Tyler, Lorraine K; Razi, Adeel; Geerligs, Linda; Ham, Timothy E; Rowe, James B

    2016-03-16

    -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. Copyright © 2016 Tsvetanov et al.

  13. LOAD FORECASTING FOR POWER SYSTEM PLANNING AND OPERATION USING ARTIFICIAL NEURAL NETWORK AT AL BATINAH REGION OMAN

    Directory of Open Access Journals (Sweden)

    HUSSEIN A. ABDULQADER

    2012-08-01

    Full Text Available Load forecasting is essential part for the power system planning and operation. In this paper the modeling and design of artificial neural network for load forecasting is carried out in a particular region of Oman. Neural network approach helps to reduce the problem associated with conventional method and has the advantage of learning directly from the historical data. The neural network here uses data such as past load; weather information like humidity and temperatures. Once the neural network is trained for the past set of data it can give a prediction of future load. This reduces the capital investment reducing the equipments to be installed. The actual data are taken from the Mazoon Electrical Company, Oman. The data of load for the year 2007, 2008 and 2009 are collected for a particular region called Al Batinah in Oman and trained using neural networks to forecast the future. The main objective is to forecast the amount of electricity needed for better load distribution in the areas of this region in Oman. The load forecasting is done for the year 2010 and is validated for the accuracy.

  14. Analysis and characterization of security regions in power systems. Part I. Load flow feasibility conditions in power networks

    Energy Technology Data Exchange (ETDEWEB)

    Jarjis, J; Galiana, F D

    1980-03-01

    A set theoretic analysis of loadflow feasibility of a general power network with arbitrary PQ, PV and slack buses is presented. Load-flow feasibility is that property of a power network defining the theoretical limitations on the bus injections under which a steady state equilibrium exists. The set theoretic analysis is based on the study of the conical loadflow feasibility region. This region is characterised by a set of supporting hyperplanes each of which defines an explicit necessary condition for loadflow feasibility on the bus injections. A quantitative measure of loadflow feasibility for an arbitrary given operating injection vector is defined through a computable scalar stability margin. This stability margin permits the loadflow feasibility of different injections and network structures to be quantitatively compared and analysed.

  15. Regional seismic observations of the Non-Proliferation Experiment at the Livermore NTS Network

    Energy Technology Data Exchange (ETDEWEB)

    Walter, W.R.; Mayeda, K.; Patton, H.J. [Lawrence Livermore National Lab., CA (United States)] [and others

    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.

  16. A Decade of Experience: Which Network Structures Maximize Fire Service Capacity for Homeland Security Incidents in Metropolitan Regions?

    Science.gov (United States)

    2011-12-01

    Pennsylvania Emergency Management Agency QHSR Quadrennial Homeland Security Review Report RCP Regional Catastrophic Preparedness SAA State...service has evolved from a single-purpose service focused on controlling fires to a multidimensional response element responsible for pre- hospital ... hospital preparedness program Preparedness Training for all personnel; training and network activities during prior year assist in preparedness

  17. Installation of a digital, wireless, strong-motion network for monitoring seismic activity in a western Colorado coal mining region

    Energy Technology Data Exchange (ETDEWEB)

    Peter Swanson; Collin Stewart; Wendell Koontz [NIOSH, Spokane, WA (USA). Spokane Research Laboratory

    2007-01-15

    A seismic monitoring network has recently been installed in the North Fork Valley coal mining region of western Colorado as part of a NIOSH mine safety technology transfer project with two longwall coal mine operators. Data recorded with this network will be used to characterize mining related and natural seismic activity in the vicinity of the mines and examine potential hazards due to ground shaking near critical structures such as impoundment dams, reservoirs, and steep slopes. Ten triaxial strong-motion accelerometers have been installed on the surface to form the core of a network that covers approximately 250 square kilometers (100 sq. miles) of rugged canyon-mesa terrain. Spread-spectrum radio networks are used to telemeter continuous streams of seismic waveform data to a central location where they are converted to IP data streams and ported to the Internet for processing, archiving, and analysis. 4 refs.

  18. Systems Engineering Initiative: Undergraduate Education Enhancement in a Regional Education Network

    International Nuclear Information System (INIS)

    Kurwitz, R. C.; Peddicord, K.; Poston, J.; Yang, X.; Bostanci, H.

    2016-01-01

    Full text: The Systems Engineering Initiative (SEI) is an experience based education enhancement programme that forms teams of undergraduate students with faculty and industry mentors to solve problems of interest to industry. This model of innovation creates a new learning paradigm that is outside the traditional classroom based model and fits more of the Master-apprentice model as applied to engineering teams. The SEI programme is currently administered by the Nuclear Power Institute (NPI), a regional nuclear education network, and is being carried out at three partner universities. Previous nuclear related projects have benefited industry and are of high technical quality with publications in peer-reviewed journals and awards for presentations in various forums. Students within the programme have benefited through development of soft skills outside the traditional curriculum, understanding of how their knowledge fits into a nuclear organization, and exposure to career opportunities. Industry and other NPI stakeholders benefit from the development of capable engineers and technicians, positive outreach to the community, and most importantly, knowledge transfer to the next generation of nuclear professionals. (author

  19. An optimal hierarchical decision model for a regional logistics network with environmental impact consideration.

    Science.gov (United States)

    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.

  20. An Optimal Hierarchical Decision Model for a Regional Logistics Network with Environmental Impact Consideration

    Directory of Open Access Journals (Sweden)

    Dezhi Zhang

    2014-01-01

    Full Text Available 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.

  1. Quadrilatero ferrifero, MG, Brazil. Regional characteristics justify application for global geoparks network

    International Nuclear Information System (INIS)

    Mantesso-Neto, V.; Azevedo, U.; Guimarães, R.; Nascimento, M.; Beato, D.; Castro, P.; Liccardo, A.

    2010-01-01

    Geopark, a concept created in 2000, is neither strictly geological nor a park in the usual sense. Geopark is a holistic concept, aimed at promoting sustainable economic development based on unique geological features (represented by “geosites”, outcrops with special value, under some point of view), but also having a social objective. The Global Geoparks Network (GGN), working in synergy with UNESCO, has 64 members in 19 countries. This paper presents a brief history and some characteristics of a few European Geoparks, followed by some aspects of the Quadrilátero Ferrífero. As shall be seen, this area is rich in geosites, and in historical, social and cultural attractions. On the other hand, foreseeing a decline in mineral exploitation in mid-century, it urgently seeks a good plan for regional development. As a conclusion, it will be seen that its characteristics fit the Geopark concept, and justify the support of the geoscientific community, and that of society in general, to its application, recently submitted to UNESCO, for admission to the GGN

  2. Automated bony region identification using artificial neural networks: reliability and validation measurements

    Energy Technology Data Exchange (ETDEWEB)

    Gassman, Esther E.; Kallemeyn, Nicole A.; DeVries, Nicole A.; Shivanna, Kiran H. [The University of Iowa, Department of Biomedical Engineering, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA (United States); The University of Iowa, Center for Computer-Aided Design, Iowa City, IA (United States); Powell, Stephanie M. [The University of Iowa, Department of Biomedical Engineering, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA (United States); University of Iowa Hospitals and Clinics, The University of Iowa, Department of Radiology, Iowa City, IA (United States); Magnotta, Vincent A. [The University of Iowa, Department of Biomedical Engineering, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA (United States); The University of Iowa, Center for Computer-Aided Design, Iowa City, IA (United States); University of Iowa Hospitals and Clinics, The University of Iowa, Department of Radiology, Iowa City, IA (United States); Ramme, Austin J. [University of Iowa Hospitals and Clinics, The University of Iowa, Department of Radiology, Iowa City, IA (United States); Adams, Brian D. [The University of Iowa, Department of Biomedical Engineering, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA (United States); University of Iowa Hospitals and Clinics, The University of Iowa, Department of Orthopaedics and Rehabilitation, Iowa City, IA (United States); Grosland, Nicole M. [The University of Iowa, Department of Biomedical Engineering, Seamans Center for the Engineering Arts and Sciences, Iowa City, IA (United States); University of Iowa Hospitals and Clinics, The University of Iowa, Department of Orthopaedics and Rehabilitation, Iowa City, IA (United States); The University of Iowa, Center for Computer-Aided Design, Iowa City, IA (United States)

    2008-04-15

    The objective was to develop tools for automating the identification of bony structures, to assess the reliability of this technique against manual raters, and to validate the resulting regions of interest against physical surface scans obtained from the same specimen. Artificial intelligence-based algorithms have been used for image segmentation, specifically artificial neural networks (ANNs). For this study, an ANN was created and trained to identify the phalanges of the human hand. The relative overlap between the ANN and a manual tracer was 0.87, 0.82, and 0.76, for the proximal, middle, and distal index phalanx bones respectively. Compared with the physical surface scans, the ANN-generated surface representations differed on average by 0.35 mm, 0.29 mm, and 0.40 mm for the proximal, middle, and distal phalanges respectively. Furthermore, the ANN proved to segment the structures in less than one-tenth of the time required by a manual rater. The ANN has proven to be a reliable and valid means of segmenting the phalanx bones from CT images. Employing automated methods such as the ANN for segmentation, eliminates the likelihood of rater drift and inter-rater variability. Automated methods also decrease the amount of time and manual effort required to extract the data of interest, thereby making the feasibility of patient-specific modeling a reality. (orig.)

  3. Automated bony region identification using artificial neural networks: reliability and validation measurements

    International Nuclear Information System (INIS)

    Gassman, Esther E.; Kallemeyn, Nicole A.; DeVries, Nicole A.; Shivanna, Kiran H.; Powell, Stephanie M.; Magnotta, Vincent A.; Ramme, Austin J.; Adams, Brian D.; Grosland, Nicole M.

    2008-01-01

    The objective was to develop tools for automating the identification of bony structures, to assess the reliability of this technique against manual raters, and to validate the resulting regions of interest against physical surface scans obtained from the same specimen. Artificial intelligence-based algorithms have been used for image segmentation, specifically artificial neural networks (ANNs). For this study, an ANN was created and trained to identify the phalanges of the human hand. The relative overlap between the ANN and a manual tracer was 0.87, 0.82, and 0.76, for the proximal, middle, and distal index phalanx bones respectively. Compared with the physical surface scans, the ANN-generated surface representations differed on average by 0.35 mm, 0.29 mm, and 0.40 mm for the proximal, middle, and distal phalanges respectively. Furthermore, the ANN proved to segment the structures in less than one-tenth of the time required by a manual rater. The ANN has proven to be a reliable and valid means of segmenting the phalanx bones from CT images. Employing automated methods such as the ANN for segmentation, eliminates the likelihood of rater drift and inter-rater variability. Automated methods also decrease the amount of time and manual effort required to extract the data of interest, thereby making the feasibility of patient-specific modeling a reality. (orig.)

  4. The Evaluation of a Regional Faith Community Network's Million Hearts Program.

    Science.gov (United States)

    Cooper, Jennifer; Zimmerman, Wendy

    2016-01-01

    The goal of the Million Hearts initiative is to prevent one million heart attacks and strokes by 2017. Maryland was one state in the Association of State and Territorial Health Official's Million Hearts State Learning Collaborative. Washington County, Maryland formed a collaboration between the County Health Department, Meritus Health System, and the Meritus Health Parish Nurse Coordinator to address hypertension in the county. Within a regional network of 52 faith communities, the Parish Nurse Coordinator recruited 25 faith community nurses to participate in a three-month program. Nurses were trained on proper blood pressure measurement and 22 nurses identified 58 participants engaged in blood pressure self-monitoring and coaching for lifestyle changes. Additionally, nurses took 1,729 blood pressures and provided health education to individuals within their congregations. Fifty-one participants participated in blood pressure self-monitoring and lifestyle coaching with faith community nurses. There was improvement in six out of seven lifestyle areas. Eight-two percent of participants (N = 42) decreased their systolic and/or diastolic blood pressure over three months. Coaching provided by faith community nurses can create an environment of sustained support to promote improved lifestyle and blood pressure changes over time. © 2015 Wiley Periodicals, Inc.

  5. An Optimal Hierarchical Decision Model for a Regional Logistics Network with Environmental Impact Consideration

    Science.gov (United States)

    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

  6. Topology of genetic associations between regional gray matter volume and intellectual ability: Evidence for a high capacity network.

    Science.gov (United States)

    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; Hulshoff Pol, Hilleke E

    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. Copyright © 2015 Elsevier Inc. All rights reserved.

  7. Region stability analysis and tracking control of memristive recurrent neural network.

    Science.gov (United States)

    Bao, Gang; Zeng, Zhigang; Shen, Yanjun

    2018-02-01

    Memristor is firstly postulated by Leon Chua and realized by Hewlett-Packard (HP) laboratory. Research results show that memristor can be used to simulate the synapses of neurons. This paper presents a class of recurrent neural network with HP memristors. Firstly, it shows that memristive recurrent neural network has more compound dynamics than the traditional recurrent neural network by simulations. Then it derives that n dimensional memristive recurrent neural network is composed of [Formula: see text] sub neural networks which do not have a common equilibrium point. By designing the tracking controller, it can make memristive neural network being convergent to the desired sub neural network. At last, two numerical examples are given to verify the validity of our result. Copyright © 2017 Elsevier Ltd. All rights reserved.

  8. Location capability of a sparse regional network (RSTN) using a multi-phase earthquake location algorithm (REGLOC)

    Energy Technology Data Exchange (ETDEWEB)

    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.

  9. LESSONS FROM THE IMPACT OF INTERNAL AND MACROECONOMIC DETERMINANTS OF BAD LOANS IN CEE BANKS

    Directory of Open Access Journals (Sweden)

    Bogdan Florin FILIP

    2017-12-01

    Full Text Available The paper aims identifying and analysing the determinants of bad loans in the banks from Central and Eastern Europe, while their accumulation may lead to malfunctions on macroeconomic level. Analysing 38 of the most representative banks in the region during 2004-2013, we found significant positive linkages of bad loans ratio with cost to income ratio, unemployment and crisis, but also significant negative linkages with bank size, activity mix, bank risk taking behaviour, real GDP growth and inflation. Moreover, using Panel Least Squares Fixed Effects Method, we found that the main determinants of bad loans ratio increase are bank size, crisis, unemployment and cost to income ratio. Contrary, activity mix, bank risk taking behaviour, real GDP growth and inflation proved to act against bad loans accumulation. The results offer important lessons which may be useful in the future both for the banks and also for the governments from this region.

  10. Regional vulnerability of longitudinal cortical association connectivity: Associated with structural network topology alterations in preterm children with cerebral palsy.

    Science.gov (United States)

    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

  11. THE IMPACT OF TAXATION ON FIRM’S PERFORMANCE: EMPIRICAL EVIDENCE ON THE CASE OF CEE COUNTRIES

    Directory of Open Access Journals (Sweden)

    Valentina Diana Rusu

    2016-07-01

    Full Text Available The performance of the firms is affected by many factors, according to the studies realized in this area. But, of all this factors of influence in this paper we want to focus on a major problem mentioned by all the firms: taxation, and to test its impact on business performance. To see if taxation affects the performance of the firms, we used the data collected for seven Central and Eastern European countries (Bulgaria, Estonia, Hungary, Latvia, Lithuania, Poland and Romania for estimating three regression models, according to the size of the firms analyzed. For measuring the performance of the firms we consider the growth of their value added. And for measuring taxation we use a series of indicators: total tax rate, tax payments, time needed to prepare and pay taxes, profit tax, other taxes paid by firms, labor tax, taxes on income, profits, and capital gains and taxes on goods and services. We also consider as a control variable the real economic growth rate. After applying multiple linear regressions on panel data, our results show that real economic growth rate, profit tax and taxes on goods and services are the main determinants of value added growth of the firm from CEE countries, and implicitly of the firm’s performance. When we extend the analysis according to the size of the firm, we obtain almost similar results; the only difference came from the fact that profit tax does not significantly influence the performance of the large firms. The combined effect of the variables considered statistically significant had a medium impact on the performance of the firms for all the firms and large firms, as shown by R-squared value. These results show that are also other factors which have a higher impact on the performance of the firms, so in future research we intent to analyse also other variables that define taxation and also to extent the sample, by including more countries.

  12. Social networks and small businesses performance in West African border regions

    DEFF Research Database (Denmark)

    Kuépié, Mathias; Tenikue, Michel; Walther, Olivier

    2016-01-01

    burden that leads to a negative economic impact. Testing the effect of social networks between small traders and three categories of actors, we find that the most well-connected actors are also the most successful in terms of monthly profit. The effects of social networks are, however, dependent...... with traditional religious leaders has a negative effect on economic performance. Our work has two implications: first, collecting data on social networks remains challenging due to endogeneity. Second, network-enhancing policies should aim at improving both the internal connectivity of economic actors......This paper studies the link between economic performance and social networks in West Africa. Using data collected about 358 small-scale traders in five border markets, we show that social network can simultaneously be a resource which positively contributes to labor market outcomes and a social...

  13. Research infrastructure, networks of science and regional development - the case of Oskarshamn

    Directory of Open Access Journals (Sweden)

    Folke Valfrid Snickars

    2017-10-01

    Our results indicate that research infrastructures as the ones in Oskarshamn are powerful creators of international research networks. It is possible although somewhat difficult in view of scattered systems for data provision to assess their academic and societal impacts. Engineering research has its own networks of university-industry and industry-university interaction where value is cogenerated dynamically. In the study we have come some way towards empirically analyzing the networks of research cooperation between industry and university using methods of infrastructure theory and network analysis.

  14. Functional neuroimaging with default mode network regions distinguishes PTSD from TBI in a military veteran population.

    Science.gov (United States)

    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 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 % sensitivity, 69 % specificity, and 81

  15. Much More Than Economy: Assessing Electoral Accountability in the CEE Member States

    Directory of Open Access Journals (Sweden)

    Fumarola Andrea

    2016-12-01

    Full Text Available Electoral accountability is considered the mechanism through which voters hold governments responsible for their performance. Questioning the traditional approach of economic voting theory, the article focuses on the influence exerted by the political context—comprehensively considered as government clarity of responsibility, availability of governing alternatives, electoral formula, and freedom of the media—on the accountability mechanism in eleven countries of Central and Eastern Europe. Using individual and aggregate data collected after the 2014 European Elections by the European Election Study (EES, the present article analyses this process in its double dimension of answerability and enforcement (Schedler 1999. Our findings suggest that voters’ ability to express discontent with economic performance in new European democracies is strongly influenced by specific characteristics of the political context. A stable and cohesive government as well as a free media system, in particular, seem to facilitate performance voting in the region.

  16. Mapping critical loads in Europe in the framework of the UN/CEE

    International Nuclear Information System (INIS)

    Hettelingh, J.P.

    1993-01-01

    Critical loads for acidity, sulphur and nitrogen have been computed and geographically mapped in Europe. Critical loads are compared to actual deposition of acidity and of sulphur. Results show that parts of central and north-west Europe receive 20 times or more acidity than the ecosystems' critical loads, thus affecting the long-term sustainability. The Regional Acidification INformation and Simulation model (RAINS) is used to assess 2 scenarios of emission reduction. The first scenario describes currently applied reductions whereas the second assesses the application of maximum feasible reductions to SO 2 and NO x . The latter scenario significantly reduces the area of Europe where critical loads are exceeded. In general, it is shown that a pan-european policy is of highest necessity for obtaining an efficient reduction of acidic emissions throughout Europe. For France, in particular, it is concluded that the excess of critical loads for acidity is largely due to ammonia

  17. Self-Organizing Maps Neural Networks Applied to the Classification of Ethanol Samples According to the Region of Commercialization

    Directory of Open Access Journals (Sweden)

    Aline Regina Walkoff

    2017-10-01

    Full Text Available Physical-chemical analysis data were collected, from 998 ethanol samples of automotive ethanol commercialized in the northern, midwestern and eastern regions of the state of Paraná. The data presented self-organizing maps (SOM neural networks, which classified them according to those regions. The self-organizing maps best configuration had a 45 x 45 topology and 5000 training epochs, with a final learning rate of 6.7x10-4, a final neighborhood relationship of 3x10-2 and a mean quantization error of 2x10-2. This neural network provided a topological map depicting three separated groups, each one corresponding to samples of a same region of commercialization. Four maps of weights, one for each parameter, were presented. The network established the pH was the most important variable for classification and electrical conductivity the least one. The self-organizing maps application allowed the segmentation of alcohol samples, therefore identifying them according to the region of commercialization. DOI: http://dx.doi.org/10.17807/orbital.v9i4.982

  18. Computerized detection of multiple sclerosis candidate regions based on a level set method using an artificial neural network

    International Nuclear Information System (INIS)

    Kuwazuru, Junpei; Magome, Taiki; Arimura, Hidetaka; Yamashita, Yasuo; Oki, Masafumi; Toyofuku, Fukai; Kakeda, Shingo; Yamamoto, Daisuke

    2010-01-01

    Yamamoto et al. developed the system for computer-aided detection of multiple sclerosis (MS) candidate regions. In a level set method in their proposed method, they employed the constant threshold value for the edge indicator function related to a speed function of the level set method. However, it would be appropriate to adjust the threshold value to each MS candidate region, because the edge magnitudes in MS candidates differ from each other. Our purpose of this study was to develop a computerized detection of MS candidate regions in MR images based on a level set method using an artificial neural network (ANN). To adjust the threshold value for the edge indicator function in the level set method to each true positive (TP) and false positive (FP) region, we constructed the ANN. The ANN could provide the suitable threshold value for each candidate region in the proposed level set method so that TP regions can be segmented and FP regions can be removed. Our proposed method detected MS regions at a sensitivity of 82.1% with 0.204 FPs per slice and similarity index of MS candidate regions was 0.717 on average. (author)

  19. Designing a low-cost effective network for monitoring large scale regional seismicity in a soft-soil region (Alsace, France)

    Science.gov (United States)

    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

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

    NARCIS (Netherlands)

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

    2009-01-01

    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

  1. On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning.

    Science.gov (United States)

    Mizutani, Eiji; Demmel, James W

    2003-01-01

    This paper briefly introduces our numerical linear algebra approaches for solving structured nonlinear least squares problems arising from 'multiple-output' neural-network (NN) models. Our algorithms feature trust-region regularization, and exploit sparsity of either the 'block-angular' residual Jacobian matrix or the 'block-arrow' Gauss-Newton Hessian (or Fisher information matrix in statistical sense) depending on problem scale so as to render a large class of NN-learning algorithms 'efficient' in both memory and operation costs. Using a relatively large real-world nonlinear regression application, we shall explain algorithmic strengths and weaknesses, analyzing simulation results obtained by both direct and iterative trust-region algorithms with two distinct NN models: 'multilayer perceptrons' (MLP) and 'complementary mixtures of MLP-experts' (or neuro-fuzzy modular networks).

  2. URBAN REGIONAL NETWORKS AND TERRITORIAL DEVELOPMENT: AN ANALYSIS OF “MINAS GERAIS” NORTHWEST TERRITORY IN RECENT YEARS

    Directory of Open Access Journals (Sweden)

    Clesio Marcelino Jesus

    2016-09-01

    Full Text Available This article aims to show that the establishment of a rural area as a cutout for implementation of public policies for development needs to consider the configuration of the urban network of the municipalities that compose it, identifying what are the hierarchical relationships between the municipalities that make up the territory and if the most dynamic centers radiate influence to the whole. We present the case study of the Northwest Territory of Minas, where were identified various limits for the implementation of territorial development policies. In this article it is shown that such limits are manifested largely because the territory groups municipalities that have different polarizations and establish differentiated functional relationships within the regional urban network. It was found that in this territorial clipping are articulated different social production systems and that the delimitation of the territory does not match even with the regionalization of state and federal agencies.

  3. Network analysis of a regional fishery: Implications for management of natural resources, and recruitment and retention of anglers

    Science.gov (United States)

    Martin, Dustin R.; Shizuka, Daizaburo; Chizinski, Christopher J.; Pope, Kevin L.

    2017-01-01

    Angler groups and water-body types interact to create a complex social-ecological system. Network analysis could inform detailed mechanistic models on, and provide managers better information about, basic patterns of fishing activity. Differences in behavior and reservoir selection among angler groups in a regional fishery, the Salt Valley fishery in southeastern Nebraska, USA, were assessed using a combination of cluster and network analyses. The four angler groups assessed ranged from less active, unskilled anglers (group One) to highly active, very skilled anglers (group Four). Reservoir use patterns and the resulting network communities of these four angler groups differed; the number of reservoir communities for these groups ranged from two to three and appeared to be driven by reservoir location (group One), reservoir size and its associated attributes (groups Two and Four), or an interaction between reservoir size and location (group Three). Network analysis is a useful tool to describe differences in participation among angler groups within a regional fishery, and provides new insights about possible recruitment of anglers. For example, group One anglers fished reservoirs closer to home and had a greater probability of dropping out if local reservoir access were restricted.

  4. Inter-organizational relations for regional development: an expansion policy promoted by the federal network of professional education, science & technology

    Directory of Open Access Journals (Sweden)

    Cleidson Nogueira Dias

    2014-12-01

    Full Text Available This research paper examines the importance of inter-organizational network management as a government policy tool to promote regional development. This pattern requires Federal Government intervention so as to compensate for the imbalance that this causes and to guarantee that economic growth resulting from government actions leads to development in all regions of the country, thereby avoiding the traditional mechanisms of wealth concentration. For this, a methodology of content analysis was used based on a relevant public policy aimed at promoting development within Brazil and by analyzing the data collected in relation to the current theory related to strategy, local development and inter-organizational networks in general.  The analysis results show that, when the policy studied in this work, applied in the federal network of professional education, science & technology, was implemented the networks had a positive influence on the outcome of the policy objectives and represented an extremely powerful support tool, being one of the most important factors to boost development.

  5. Report of the advisory group meeting on the establishment of regional ion accelerator centers and user networks

    International Nuclear Information System (INIS)

    1997-11-01

    In this report it is shown that ion accelerators have had a tremendous economic and technological impact on most developed countries, and are beginning to have a significant impact on developing countries. Through the formation of Accelerator Centers and User Networks (which may be national, regional or inter-regional) a mechanism will be outlined by which scientists and other users from developing countries can receive the necessary training and have available the necessary accelerator facilities to use these machines for economic improvement and technological development in their countries

  6. New public commons and network of nuclear site regions for the post-Fukushima accident re-vitalization

    International Nuclear Information System (INIS)

    Sawada, Tetsuo

    2011-01-01

    Due to the Fukushima Daiichi NPP accidents on March 11 2011, the landscape of the community of nuclear energy R and D and usage has been changing in various aspects here in Japan. With such recognition, the networking of nuclear site regions as well as consumer cities is proposed for obtaining novel-sense societal confidence, on the basis of on-going practice of atom-sports such as international MaxiMarathon and domestoic Tour de Atom. (author)

  7. Spatiotemporal Variability of Humidity Across the Contiguous United States and Southern Canada Using Regional Networks

    Science.gov (United States)

    Behnke, Ruben John

    The objective of this dissertation was to show that there is now enough observed humidity data available so that estimates of humidity, along with their necessary assumptions, can be replaced by measured humidity data. The range of applications that depend on humidity data is huge, ranging from water use efficiency of plants and plant stress to human health and agricultural practices. Biases due to the use of estimated humidity can be expected to have short and long impacts, decreasing the accuracy and precision of these, and many other, applications. Data from local, regional, and national observation networks was gathered, and custom quality control routines were written to remove bad data points from over 45000 stations, leaving 12533 usable stations. While still not at the same number of observations as temperature or precipitation, this number is nearly ten times as high as two decades ago. The work I performed consists of three major components, corresponding to the three main chapters of this dissertation. In chapter one, I describe data sources and quality control methods, along with some basic statistics of humidity, describing which geographic variables often used to predict temperature and precipitation can be used to do the same for humidity. Chapter two defines specific diurnal patterns (or "types") of dew point across the United States, including their attributes, causes, and potential influences. Chapter three analyzes biases in evapotranspiration, heat indices, and relative humidity levels that are a direct result of using estimated humidity data. Chapter four discusses contributions this work makes to the scientific community, and potential further research to build on what is presented here. While it may seem that the science of humidity should be well beyond data gathering and bias analysis, the fact remains that humidity is still very commonly estimated through the use of minimum temperature, and diurnal changes in dew point are often ignored

  8. Satellite- and Epoch Differenced Precise Point Positioning Based on a Regional Augmentation Network

    Directory of Open Access Journals (Sweden)

    Bin Wu

    2012-06-01

    Full Text Available 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

  9. Building Capacity for Earthquake Monitoring: Linking Regional Networks with the Global Community

    Science.gov (United States)

    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

  10. Working memory cells' behavior may be explained by cross-regional networks with synaptic facilitation.

    Directory of Open Access Journals (Sweden)

    Sergio Verduzco-Flores

    2009-08-01

    Full Text Available Neurons in the cortex exhibit a number of patterns that correlate with working memory. Specifically, averaged across trials of working memory tasks, neurons exhibit different firing rate patterns during the delay of those tasks. These patterns include: 1 persistent fixed-frequency elevated rates above baseline, 2 elevated rates that decay throughout the tasks memory period, 3 rates that accelerate throughout the delay, and 4 patterns of inhibited firing (below baseline analogous to each of the preceding excitatory patterns. Persistent elevated rate patterns are believed to be the neural correlate of working memory retention and preparation for execution of behavioral/motor responses as required in working memory tasks. Models have proposed that such activity corresponds to stable attractors in cortical neural networks with fixed synaptic weights. However, the variability in patterned behavior and the firing statistics of real neurons across the entire range of those behaviors across and within trials of working memory tasks are typical not reproduced. Here we examine the effect of dynamic synapses and network architectures with multiple cortical areas on the states and dynamics of working memory networks. The analysis indicates that the multiple pattern types exhibited by cells in working memory networks are inherent in networks with dynamic synapses, and that the variability and firing statistics in such networks with distributed architectures agree with that observed in the cortex.

  11. The future of the market of energy savings certificate (CEE) in France. Assessment of the first two periods and stakes for the third period (2014-2016)

    International Nuclear Information System (INIS)

    2012-11-01

    This article presents the content of a market study which aimed at understanding the operation of an innovating and complex arrangement, the energy saving certificate or CEE for certificat d'economie d'energie, which is a key instrument of the French energy efficiency policy, at assessing the actual success of its first two phases, at comparing strategies of historic actors in front of newcomers like fuel providers, at analysing the impact of the CEE mechanism on the whole value chain of thermal rehabilitation, from the manufacturer to the installer, and at anticipating trends and challenges for the 2014-2016 period. The report presents this arrangement which has been elaborated to promote consumption reduction, describes how the action certificating process has become more constraining, comments the impacts of the arrangement of the value chain in the housing sector, comments the situation for local communities and for the B2B segment, and discusses the lessons learnt after the first years of experience

  12. New public commons and network of nuclear site regions for the post-Fukushima accident re-vitalization

    International Nuclear Information System (INIS)

    Sawada, Tetsuo

    2012-01-01

    Due to the Fukushima NPP accidents on 11 March 2011, we have deadly lost the regional ties among local people, electricity consumers, and people involved in the nuclear research, development and businesses. Now we need the method to reconstruct the ties and further the activation of locals in accordance to the concept of 'New Public Commons'. And it is the most important key to recover the people's confidence for the nuclear business and promote the new siting and replacement of nuclear power stations. More than forty years have past since the earliest stage of invitation of nuclear power stations to regional areas in Japan. For this period, the efforts for the development of regional industries and the improvement of regional life obtained a level of results. However, now a new turn is required in the regional development, as the perception of wealthy has been gradually changed. The primary objective of this study is to make a network among regional areas where nuclear power stations and related facilities are located. It should further the understanding for nuclear energy, stimulate the 'emergence' through the cooperative works among regional areas. As a result, such efforts will enhance the Social Responsibility of conducts related to the nuclear energy. i.e., Nuclear SR (NSR). The basic frame of the NSR should be re-estimated in the reflection of 3.11 Fukushima NPP accidents. (author)

  13. The Capacity-Building Stewardship Model: assessment of an agricultural network as a mechanism for improving regional agroecosystem sustainability

    Directory of Open Access Journals (Sweden)

    Alison J. Duff

    2017-03-01

    Full Text Available Working lands have potential to meet agricultural production targets while serving as reservoirs of biological diversity and as sources of ecological services. Yet agricultural policy creates disincentives for this integration of conservation and production goals. While necessary, the development of a policy context that promotes agroecosystem sustainability will take time, and successful implementation will depend on a receptive agricultural audience. As the demands placed on working lands grow, there is a need for regional support networks that build agricultural producers' capacity for land stewardship. We used a social-ecological system framework to illustrate the Healthy Grown Potato Program as an agricultural network case study. Our Capacity-Building Stewardship Model reflects a 20-year experience working in collaboration with potato growers certified under an ecolabel in Wisconsin, USA. The model applies an evolving, modular farm stewardship standard to the entire farm - croplands and noncroplands. The model demonstrates an effective process for facilitating communication and shared learning among program participants, including agricultural producers, university extension specialists, nonprofit conservation partners, and industry representatives. The limitation of the model in practice has been securing funding to support expansion of the program and to ensure that the ecolabel standard is responsive to changes in the social-ecological system. Despite this constraint, the Capacity-Building Stewardship Model reveals an important mechanism for building regional commitment to conservation, with agricultural producers in a leadership role as architects, adopters, and advocates for stewardship behavior. Our experience provides important insight for the application of agri-environment schemes on private lands. The durability of a conservation ethic on working farms is likely to be enhanced when networks engage and support producers in an

  14. [Development of a clinical pathway for the attention of patients with amyotrophic lateral sclerosis in a regional network. ALS Assistance Network-Comunidad de Madrid].

    Science.gov (United States)

    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.

  15. Spatiotemporal Patterns, Monitoring Network Design, and Environmental Justice of Air Pollution in the Phoenix Metropolitan Region: A Landscape Approach

    Science.gov (United States)

    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

  16. A Robust and Resilient Network Design Paradigm for Region-Based Faults Inflicted by WMD Attack

    Science.gov (United States)

    2016-04-01

    Infrastructure Mapping over Transport Software - Defined Networks (T- SDN )”, IEEE/OSA OFC, 2014 (invited for a special issue of OSA/IEEE JOCN) 23. L. Liu, J...Ji and C. Qiao “Survivable Virtual Infrastructure Mapping with Shared Protection in Transport Software - Defined Networks (T- SDNs )”, OECC, 2014. 25. S...483-493, 2014. 21. Z. Ye, X. Li, A. N. Patel, P. N. Ji, X. Cao, C. Qiao, “Upgrade-aware Virtual Infrastructure Mapping in Software - Defined Elastic

  17. A voxelwise approach to determine consensus regions-of-interest for the study of brain network plasticity

    Directory of Open Access Journals (Sweden)

    Sarah M. Rajtmajer

    2015-07-01

    Full Text Available Despite exciting advances in the functional imaging of the brain, it remains a challenge to define regions of interest (ROIs that do not require investigator supervision and permit examination of change in networks over time (or plasticity. Plasticity is most readily examined by maintaining ROIs constant via seed-based and anatomical-atlas based techniques, but these approaches are not data-driven, requiring definition based on prior experience (e.g. choice of seed-region, anatomical landmarks. These approaches are limiting especially when functional connectivity may evolve over time in areas that are finer than known anatomical landmarks or in areas outside predetermined seeded regions. An ideal method would permit investigators to study network plasticity due to learning, maturation effects, or clinical recovery via multiple time point data that can be compared to one another in the same ROI while also preserving the voxel-level data in those ROIs at each time point. Data-driven approaches (e.g., whole-brain voxelwise approaches ameliorate concerns regarding investigator bias, but the fundamental problem of comparing the results between distinct data sets remains. In this paper we propose an approach, aggregate-initialized label propagation (AILP, which allows for data at separate time points to be compared for examining developmental processes resulting in network change (plasticity. To do so, we use a whole-brain modularity approach to parcellate the brain into anatomically constrained functional modules at separate time points and then apply the AILP algorithm to form a consensus set of ROIs for examining change over time. To demonstrate its utility, we make use of a known dataset of individuals with traumatic brain injury sampled at two time points during the first year of recovery and show how the AILP procedure can be applied to select regions of interest to be used in a graph theoretical analysis of plasticity.

  18. Interventional Radiology service provision and practice for the management of traumatic splenic injury across the Regional Trauma Networks of England.

    Science.gov (United States)

    Hughes, Jane; Scrimshire, Ashley; Steinberg, Laura; Yiannoullou, Petros; Newton, Katherine; Hall, Claire; Pearce, Lyndsay; Macdonald, Andrew

    2017-05-01

    The management of blunt splenic injuries (BSI) has evolved toward strategies that avoid splenectomy. There is growing adoption of interventional radiology (IR) techniques in non-operative management of BSI, with evidence suggesting a corresponding reduction in emergency laparotomy requirements and increased splenic preservation rates. Currently there are no UK national guidelines for the management of blunt splenic injury. This may lead to variations in management, despite the reorganisation of trauma services in England in 2012. A survey was distributed through the British Society of Interventional Radiologists to all UK members aiming to identify availability of IR services in England, radiologists' practice, and attitudes toward management of BSI. 116 responses from respondents working in 23 of the 26 Regional Trauma Networks in England were received. 79% provide a single dedicated IR service but over 50% cover more than one hospital within the network. All offer arterial embolisation for BSI. Only 25% follow guidelines. In haemodynamically stable patients, an increasing trend for embolisation was seen as grade of splenic injury increased from 1 to 4 (12.5%-82.14%, pSplenic embolisation is offered for a variety of injury grades, providing the patient remains stable. Variation in interventional radiology services remain despite the introduction of regional trauma networks. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. [A survey of Local Physicians and Psychotherapists on Cooperation in Regional Networks for Early Child Interventions in Saxony-Anhalt].

    Science.gov (United States)

    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.

  20. Investigating the Potential Impacts of Energy Production in the Marcellus Shale Region Using the Shale Network Database

    Science.gov (United States)

    Brantley, S.; Brazil, L.

    2017-12-01

    The Shale Network's extensive database of water quality observations enables educational experiences about the potential impacts of resource extraction with real data. Through tools that are open source and free to use, researchers, educators, and citizens 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. Thus far, these tools and data have been used to engage 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 developing lesson plans, and the resources available to learn more.

  1. Business networking for SMEs as a means to promote regional competitiveness: A Theoretical Framework

    OpenAIRE

    Vitor Braga

    2004-01-01

    The competitiveness of regions, as a means of promoting the competitiveness of a country as a whole, has been one of the main topics on the agenda of policy makers over the last decades. Several attempts at promoting competitiveness have been made with different degrees of success. In most cases, public investment in the regions was perceived as the solution to promote regional competitiveness and top-down policies were implemented. However, competitiveness also has an important dimension tha...

  2. From cities and towns to urban networks in Germany – intra regional competition versus regional co-operation and inter regional competitiveness

    OpenAIRE

    Bernhard Mueller

    2000-01-01

    For many decades of the 20th century particular cities and towns were understood as integral parts of national and international urban systems. For many years the theory on central places and hierarchy of central places, first developed by Christaller and amended by Loesch, had a decisive influence on spatial research and regional development policies with guiding principles for urbanisation and the development of settlement patterns. However it is becoming ever more evident, that the planned...

  3. Multiple Regions of a Cortical Network Commonly Encode the Meaning of Words in Multiple Grammatical Positions of Read Sentences.

    Science.gov (United States)

    Anderson, Andrew James; Lalor, Edmund C; Lin, Feng; Binder, Jeffrey R; Fernandino, Leonardo; Humphries, Colin J; Conant, Lisa L; Raizada, Rajeev D S; Grimm, Scott; Wang, Xixi

    2018-05-16

    Deciphering how sentence meaning is represented in the brain remains a major challenge to science. Semantically related neural activity has recently been shown to arise concurrently in distributed brain regions as successive words in a sentence are read. However, what semantic content is represented by different regions, what is common across them, and how this relates to words in different grammatical positions of sentences is weakly understood. To address these questions, we apply a semantic model of word meaning to interpret brain activation patterns elicited in sentence reading. The model is based on human ratings of 65 sensory/motor/emotional and cognitive features of experience with words (and their referents). Through a process of mapping functional Magnetic Resonance Imaging activation back into model space we test: which brain regions semantically encode content words in different grammatical positions (e.g., subject/verb/object); and what semantic features are encoded by different regions. In left temporal, inferior parietal, and inferior/superior frontal regions we detect the semantic encoding of words in all grammatical positions tested and reveal multiple common components of semantic representation. This suggests that sentence comprehension involves a common core representation of multiple words' meaning being encoded in a network of regions distributed across the brain.

  4. PRODUCTION NETWORKS, AND DIGITAL LOGISTICS AS A TOOL FOR REGIONAL DEVELOPMENT: THE WOOD PROCESSING INDUSTRY IN THE CITY OF BURI, SÃO PAULO

    Directory of Open Access Journals (Sweden)

    Eunice Helena Sguizzardi Abascal

    2010-11-01

    Full Text Available In Brazil municipalities and regions face nowadays plenty of challenges to achieve a sustainable development founded in logistic and productive relationship networks. These networks and respective operations require knowledge and domain of productive possibilities and business opportunities that can develop themselves in regional and endogenous territorial scales. These challenges derive of the fact that municipalities are part of many government and administrative regions in brazilian states to actuate in solidary and synergic way, potentializing relationships with respective congeners. Networks formation requests a rigorous knowledge of the socioeconomic conditions, the municipalities and the regions characters, and it requests TIC (Communication and Information Technologies instrumental use, being able to give ways to expand and to know the social actors that are related and their potential partners through digital networks. This type of networks enables a synchronic management of territorial and economic complexities, in real time (just in time. This article analyzes by critical way the causes of socioeconomic depression of Sao Paulo State southwest region, with the objective of identifying the responsible factors of its stagnation. It also analyzes specific characteristics of Buri Municipality that is situated in southwest Sao Paulo State region. Showing business networks formation based on the transformation wood industry. This natural product is available in the region, here we investigate the local development possibilities, productive and logistic networks (Material Networks and we suggest digital networks use. These actions not just only create regional advantages, but indeed releases Sao Paulo metropolis: either its spaces and its circulation highways, unduly congested due vehicle concentration that is responsible by transport, state and federal logistic.

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

    NARCIS (Netherlands)

    R. Colak; F. Moser; J. Shu; A. Schönhuth (Alexander); N. Chen; M. Ester

    2010-01-01

    htmlabstractBackground 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

  6. The relationship between context, structure, and processes with outcomes of 6 regional diabetes networks in Europe

    NARCIS (Netherlands)

    Mahdavi, M. (Mahdi); J. Vissers (Jan); S. Elkhuizen (Sylvia); Van Dijk, M. (Mattees); Vanhala, A. (Antero); Karampli, E. (Eleftheria); R. Faubel (Raquel); P. Forte (Paul); Coroian, E. (Elena); J.J. van de Klundert (Joris)

    2018-01-01

    textabstractBackground While health service provisioning for the chronic condition Type 2 Diabetes (T2D) often involves a network of organisations and professionals, most evidence on the relationships between the structures and processes of service provisioning and the outcomes considers single

  7. The Sub-Regional Functional Organization of Neocortical Irritative Epileptic Networks in Pediatric Epilepsy

    Czech Academy of Sciences Publication Activity Database

    Janča, R.; Kršek, P.; Ježdík, P.; Čmejla, R.; Tomášek, M.; Komárek, V.; Marusič, P.; Jiruška, Přemysl

    2018-01-01

    Roč. 9, Mar 23 (2018), č. článku 184. ISSN 1664-2295 R&D Projects: GA MZd(CZ) NV15-29835A Institutional support: RVO:67985823 Keywords : interictal epileptiform discharges * brain networks * epilepsy surgery * irritative zone * propagation * neocortical epilepsy Subject RIV: FH - Neurology OBOR OECD: Neurosciences (including psychophysiology Impact factor: 3.552, year: 2016

  8. Kinship and social networks: A regional analysis of sibling relations in twentieth-century Netherlands

    NARCIS (Netherlands)

    Bras, H.; van Tilburg, T.G.

    2007-01-01

    Given the paucity of information on historical kin relations, this study uses survey data in order to investigate how different family forms influenced the size and composition of social networks and the relationships among elderly siblings born in farming families between 1903 and 1937 in three

  9. WaterNet: The NASA water cycle solutions network - Danubian regional applications

    International Nuclear Information System (INIS)

    Matthews, Dave; Brilly, Mitja; Kobold, Mira; Zagar, Mark; Houser, Paul

    2008-01-01

    WaterNet is a new international network of researchers, stakeholders, and end-users of remote sensing tools that will benefit the water resources management community. This paper provides an overview and it discusses the concept of solutions networks focusing on the WaterNet. It invites Danubian research and applications teams to join our WaterNet network. The NASA Water cycle Solutions Network's goal is to improve and optimize the sustained ability of water cycle researchers, stakeholders, organizations and networks to interact, identify, harness, and extend NASA research results to augment decision support tools and meet national needs. Our team will develop WaterNet by engaging relevant NASA water cycle research resources and community-of-practice organizations, to develop what we term an 'actionable database' that can be used to communicate and connect NASA Water cycle research Results (NWRs) towards the improvement of water-related Decision Support Tools (DSTs). Recognizing that the European Commission and European Space Agency have also developed many related Water Research products (EWRs), we seek to learn about these and network with the EU teams to include their information in the WaterNet actionable data base and Community of Practice. WaterNet will then develop strategies to connect researchers and decision-makers via innovative communication strategies, improved user access to NASA and EU - Danubian resources, improved water cycle research community appreciation for user requirements, improved policymaker, management and stakeholder knowledge of research and application products, and improved identification of pathways for progress. Finally, WaterNet will develop relevant benchmarking and metrics, to understand the network's characteristics, to optimize its performance, and to establish sustainability. This paper provides examples of several NASA products based on remote sensing and land data assimilation systems that integrate remotely sensed and in

  10. Blended Learning Citation Patterns and Publication Networks across Seven Worldwide Regions

    Science.gov (United States)

    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…

  11. Building Regional Networking Capacity through Leadership Development: The Case of Leadership Northwest Missouri

    Science.gov (United States)

    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…

  12. Strengthening the Regional Integration in Central and Eastern Europe through Cohesion Policy Instruments and Cooperation among Stock Exchanges

    Directory of Open Access Journals (Sweden)

    JULIA STEFANOVA

    2014-05-01

    Full Text Available The research paper is focused on the analysis of two ways of strengthening the regional integration in the Central and Eastern Europe – through the Cohesion policy instruments and cooperation among stock exchanges. Substantial benefits from the regional integration through cohesion policy include economic and social prosperity, political understanding. It should be further intensified, as it contributes to reduce regional disparities, exchange knowledge and best practices, ensure economic development. On the other hand, the deepening intra-regional cooperation among CEE stock exchanges leads to quantitative and qualitative changes in the course of their consolidation. Some assumptions are reached regarding expected changes on the Bulgarian capital market in the course of intensifying its intra-regional integrational links to CEE capital markets in conformity with set strategic priorities.

  13. Distant from input: Evidence of regions within the default mode network supporting perceptually-decoupled and conceptually-guided cognition.

    Science.gov (United States)

    Murphy, Charlotte; Jefferies, Elizabeth; Rueschemeyer, Shirley-Ann; Sormaz, Mladen; Wang, Hao-Ting; Margulies, Daniel S; Smallwood, Jonathan

    2018-05-01

    The default mode network supports a variety of mental operations such as semantic processing, episodic memory retrieval, mental time travel and mind-wandering, yet the commonalities between these functions remains unclear. One possibility is that this system supports cognition that is independent of the immediate environment; alternatively or additionally, it might support higher-order conceptual representations that draw together multiple features. We tested these accounts using a novel paradigm that separately manipulated the availability of perceptual information to guide decision-making and the representational complexity of this information. Using task based imaging we established regions that respond when cognition combines both stimulus independence with multi-modal information. These included left and right angular gyri and the left middle temporal gyrus. Although these sites were within the default mode network, they showed a stronger response to demanding memory judgements than to an easier perceptual task, contrary to the view that they support automatic aspects of cognition. In a subsequent analysis, we showed that these regions were located at the extreme end of a macroscale gradient, which describes gradual transitions from sensorimotor to transmodal cortex. This shift in the focus of neural activity towards transmodal, default mode, regions might reflect a process of where the functional distance from specific sensory enables conceptually rich and detailed cognitive states to be generated in the absence of input. Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

  14. Understanding the poultry trade network in Kenya: Implications for regional disease prevention and control.

    Science.gov (United States)

    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

  15. Networking

    OpenAIRE

    Rauno Lindholm, Daniel; Boisen Devantier, Lykke; Nyborg, Karoline Lykke; Høgsbro, Andreas; Fries, de; Skovlund, Louise

    2016-01-01

    The purpose of this project was to examine what influencing factor that has had an impact on the presumed increasement of the use of networking among academics on the labour market and how it is expressed. On the basis of the influence from globalization on the labour market it can be concluded that the globalization has transformed the labour market into a market based on the organization of networks. In this new organization there is a greater emphasis on employees having social qualificati...

  16. Museum networks and sustainable tourism management : the case study of marche region's museums (Italy)

    OpenAIRE

    Cerquetti, Mara; Montella, Marta Maria

    2015-01-01

    Over the past twenty years, research on cultural tourism has sought to find a balance between tourism development and cultural heritage conservation. However scholars have not focused on the enhancement of local cultural heritage as an asset to raise awareness of new cultural destinations and to prevent overcrowding in just a few cultural cities. After a discussion of literature on heritage tourism management, this paper presents the results of a survey on museum networks in...

  17. THE ROLE OF REGIONAL CENTERS AND UNIVERSITY CHILDREN’S HOSPITAL IN DEVELOPMENT OF HOME MECHANICAL VENTILATION NETWORK

    Directory of Open Access Journals (Sweden)

    Rsovac Snezana

    2017-08-01

    Full Text Available Application of home mechanical ventilators represents the future in the treatment of children with chronic respiratory insufficiency. In this way patients are treated in the home environment, they have full support from their families, they are protected against nosocomial infections and their condition is monitored by medical staff. The role of regional centers is very important in the future development of the home mechanical ventilation network. Doctors in these centers under the full support of the University Children's Hospital physicians can assist and monitor the treatment of children on the household respirators.

  18. A review of the management of blunt splenic trauma in England and Wales: have regional trauma networks influenced management strategies and outcomes?

    Science.gov (United States)

    Yiannoullou, P; Hall, C; Newton, K; Pearce, L; Bouamra, O; Jenks, T; Scrimshire, A B; Hughes, J; Lecky, F; Macdonald, Adh

    2017-01-01

    INTRODUCTION The spleen remains one of the most frequently injured organs following blunt abdominal trauma. In 2012, regional trauma networks were launched across England and Wales with the aim of improving outcomes following trauma. This retrospective cohort study investigated the management and outcomes of blunt splenic injuries before and after the establishment of regional trauma networks. METHODS A dataset was drawn from the Trauma Audit Research Network database of all splenic injuries admitted to English and Welsh hospitals from 1 April 2010 to 31 March 2014. Demographic data, injury severity, treatment modalities and outcomes were collected. Management and outcomes were compared before and after the launch of regional trauma networks. RESULTS There were 1457 blunt splenic injuries: 575 between 2010 and 2012 and 882 in 2012-14. Following the introduction of the regional trauma networks, use of splenic artery embolotherapy increased from 3.5% to 7.6% (P = 0.001) and splenectomy rates decreased from 20% to 14.85% (P = 0.012). Significantly more patients with polytrauma and blunt splenic injury were treated with splenic embolotherapy following 2012 (61.2% vs. 30%, P splenic artery embolotherapy since the introduction of the regional trauma networks. This may have resulted from improved access to specialist services and reduced practice variation since the establishment of these networks.

  19. EV and HP Scheduling with Network Constraints in the Nordic Region

    DEFF Research Database (Denmark)

    Liu, Zhaoxi; Wu, Qiuwei

    Large scale deployment of electric vehicles (EVs) and heat pumps (HPs) holds great potential not only to limit the greenhouse gas (GHG) emission and fossil fuel consumption in the transportation and heating sectors but also to cope with the intermittency due to the further utilization of renewable...... energy sources (RES) in the Nordic region including Denmark, Finland, Norway and Sweden. It is therefore an important pathway to the goal of achieving a carbon neutral electric power system in the Nordic region by 2050....

  20. No Reef Is an Island: Integrating Coral Reef Connectivity Data into the Design of Regional-Scale Marine Protected Area Networks.

    Science.gov (United States)

    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.

  1. No Reef Is an Island: Integrating Coral Reef Connectivity Data into the Design of Regional-Scale Marine Protected Area Networks.

    Directory of Open Access Journals (Sweden)

    Steven R Schill

    Full Text Available 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.

  2. Improving Suicide Prevention in Dutch Regions by Creating Local Suicide Prevention Action Networks (SUPRANET): A Study Protocol.

    Science.gov (United States)

    Gilissen, Renske; De Beurs, Derek; Mokkenstorm, Jan; Mérelle, Saskia; Donker, Gé; Terpstra, Sanne; Derijck, Carla; Franx, Gerdien

    2017-03-28

    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 NETwork (SUPRANET). This paper describes the SUPRANET program components and the evaluation of its feasibility and impact. The findings will be used to facilitate the national implementation of EAAD in The Netherlands and to add new findings to the existing literature on EAAD.

  3. Spatial fingerprints of community structure in human interaction network for an extensive set of large-scale regions.

    Directory of Open Access Journals (Sweden)

    Zsófia Kallus

    Full Text Available Human interaction networks inferred from country-wide telephone activity recordings were recently used to redraw political maps by projecting their topological partitions into geographical space. The results showed remarkable spatial cohesiveness of the network communities and a significant overlap between the redrawn and the administrative borders. Here we present a similar analysis based on one of the most popular online social networks represented by the ties between more than 5.8 million of its geo-located users. The worldwide coverage of their measured activity allowed us to analyze the large-scale regional subgraphs of entire continents and an extensive set of examples for single countries. We present results for North and South America, Europe and Asia. In our analysis we used the well-established method of modularity clustering after an aggregation of the individual links into a weighted graph connecting equal-area geographical pixels. Our results show fingerprints of both of the opposing forces of dividing local conflicts and of uniting cross-cultural trends of globalization.

  4. Spatial fingerprints of community structure in human interaction network for an extensive set of large-scale regions.

    Science.gov (United States)

    Kallus, Zsófia; Barankai, Norbert; Szüle, János; Vattay, Gábor

    2015-01-01

    Human interaction networks inferred from country-wide telephone activity recordings were recently used to redraw political maps by projecting their topological partitions into geographical space. The results showed remarkable spatial cohesiveness of the network communities and a significant overlap between the redrawn and the administrative borders. Here we present a similar analysis based on one of the most popular online social networks represented by the ties between more than 5.8 million of its geo-located users. The worldwide coverage of their measured activity allowed us to analyze the large-scale regional subgraphs of entire continents and an extensive set of examples for single countries. We present results for North and South America, Europe and Asia. In our analysis we used the well-established method of modularity clustering after an aggregation of the individual links into a weighted graph connecting equal-area geographical pixels. Our results show fingerprints of both of the opposing forces of dividing local conflicts and of uniting cross-cultural trends of globalization.

  5. Contribution of International and Regional Networks in Developing and Maintaining Human Capacity Building for Nuclear Power Programmes

    International Nuclear Information System (INIS)

    Osman, O. E.

    2015-01-01

    Capacity is defined as; the ability of individuals and organizations or organizational units to perform functions effectively, efficiently and sustainably. Capacity building is an evidence-driven process of strengthening the abilities of individuals, organizations, and systems to perform core functions sustainably, and to continue to improve and develop over time. This article will explain the contributions of knowledge networks at the national, regional and international level in developing the existing capacity building and human resources for regulatory body in Sudan, to confront the future challenges regarding to nuclear power program- safety and security. The article will compare the advantages and effectiveness of these knowledge networks (IAEA, ANNuR, FNRBA) in capacity building and enhance the infrastructure of national regulatory body. And how these networks contribute to enable the regulatory bodies in Africa and Arab countries, to establish and strengthen their regulatory infrastructure for nuclear power programme consistent with international standards and recommendations. As well as the recommendations resulting and deduced from comparative study to promote the exchange of knowledge, experience and information among its members. (author)

  6. Nuclear safety cooperation in Southeast Asia. Lessons from Asia's regional networks

    International Nuclear Information System (INIS)

    Trajano, Julius Cesar I.

    2017-01-01

    Debate has been ongoing among key stakeholders on whether South-east Asia should use or reject nuclear power. However, there are still significant regional concerns over nuclear safety and security in South-east Asia. As some ASEAN countries plan to pursue nuclear power, they need to create and maintain a pool of local nuclear professionals with actual relevant experience in the nuclear industry. While the IAEA does not influence a country's decision on introducing nuclear power, it supports Member States' efforts to evaluate all options towards making a knowledgeable decision. Nuclear safety is the responsibility of every nation that utilizes nuclear technology. National governments are responsible for regulations that govern how safety at nuclear facilities is maintained, as well as to reduce radiation risks, including emergency response and recovery actions. But nuclear energy has transboundary/ regional implications if nuclear safety in each member state is not strengthened. ASEAN countries share a common goal in achieving high level of public safety and confidence in nuclear and radiation related issues. Can regional cooperation help ASEAN Member-States strengthen nuclear safety? The paper examines the importance of regional cooperation on nuclear energy governance and the role of regional organisations in Asia in strengthening nuclear safety cooperation and emergency preparedness and response in Southeast Asia. (author)

  7. Network of TAMCNS: Identifying Influence Regions Within the GCSS-MC Database

    Science.gov (United States)

    2017-06-01

    friendship. You made spending many hours at NPS an enjoyable experience. In particular, I want to acknowledge Dan for his assistance with math and LaTeX...Hall, 2001. [7] K. H. Rosen, Discrete Mathematics and Its Applications, 7th ed. New York, NY: McGraw-Hill, 2012. [8] D. Ortiz-Arroyo, “Discovering sets...observations/whats-a-voxel-and-what-can-it-tell-us-a-primer-on-fmri/ [28] A. Beveridge and J. Shan, “Network of thrones,” Math Horizons, vol. 23, no. 4

  8. The NASA Regional Planetary Image Facility (RPIF) Network: A Key Resource for Accessing and Using Planetary Spatial Data

    Science.gov (United States)

    Hagerty, J. J.

    2017-12-01

    The role of the NASA Regional Planetary Image Facility (RPIF) Network is evolving as new science-ready spatial data products continue to be created and as key historical planetary data sets are digitized. Specifically, the RPIF Network is poised to serve specialized knowledge and services in a user-friendly manner that removes most barriers to locating, accessing, and exploiting planetary spatial data, thus providing a critical data access role within a spatial data infrastructure. The goal of the Network is to provide support and training to a broad audience of planetary spatial data users. In an effort to meet the planetary science community's evolving needs, we are focusing on the following objectives: Maintain and improve the delivery of historical data accumulated over the past four decades so as not to lose critical, historical information. This is being achieved by systematically digitizing fragile materials, allowing increased access and preserving them at the same time. Help users locate, access, visualize, and exploit planetary science data. Many of the facilities have begun to establish Guest User Facilities that allow researchers to use and/or be trained on GIS equipment and other specialized tools like Socet Set/GXP photogrammetry workstations for generating digital elevation maps. Improve the connection between the Network nodes while also leveraging the unique resources of each node. To achieve this goal, each facility is developing and sharing searchable databases of their collections, including robust metadata in a standards compliant way. Communicate more effectively and regularly with the planetary science community in an effort to make potential users aware of resources and services provided by the Network, while also engaging community members in discussions about community needs. Provide a regional resource for the science community, colleges, universities, museums, media, and the public to access planetary data. Introduce new strategies for

  9. Forming of the regional core transport network taking into account the allocation of alternative energy sources based on artificial intelligence methods

    Directory of Open Access Journals (Sweden)

    Marina ZHURAVSKAYA

    2014-12-01

    Full Text Available In the modern world the alternative energy sources, which considerably depend on a region, play more and more significant role. However, the transition of regions to new energy sources lead to the change of transport and logistic network configuration. The formation of optimal core transport network today is a guarantee of the successful economic development of a region tomorrow. The present article studies the issue of advanced core transport network development in a region based on the experience of European and Asian countries and the opportunity to adapt the best foreign experience to Russian conditions. On the basis of artificial intelligence methods for forest industry complex of Sverdlovskaya Oblast the algorithm of problem solution of an optimal logistic infrastructure allocation is offered and some results of a regional transport network are presented. These methods allowed to solve the set task in the conditions of information uncertainty. There are suggestions on the improvement of transport and logistic network in the territory of Sverdlovskaya Oblast. Traditionally the logistics of mineral fuel plays main role in regions development. Actually it is required to develop logistic strategic plans to be able to provide different possibilities of power-supply, flexible enough to change with the population density, transport infrastructure and demographics of different regions. The problem of logistic centers allocation was studied by many authors. The approach, offered by the authors of this paper is to solve the set of tasks by applying artificial intelligence methods, such as fuzzy set theory and genetic algorithms.

  10. Gas network simulations of the regional utility GVT; Gasnetzsimulation des Regionalgasversorgers GVT

    Energy Technology Data Exchange (ETDEWEB)

    Schacht, W. [Gasversorgung Thueringen GmbH (GVT), Erfurt (Germany)

    2000-07-01

    At the turn of the millenium, the German gas industry is faced with new challenges, e.g. the European single market, energy political boundary conditions, deregulation and increased competition. Flexibility, new marketing concepts and higher profitability are key concerns. Optimisation of gas supply can only be ensured by dynamic gas network simulation which also provide information on the current state of gas flow in the network. [German] Zum Beginn des neuen Jahrtausends steht die Erdgaswirtschaft in Deutschland vor voellig neuen Herausforderungen. Der EU-Binnenmarkt, die neuen energiepolitischen Rahmenbedingungen, die Oeffnung und Liberalisierung der Energiemaerkte und die damit im Zusammenhang stehende Verschaerfung des Gas-zu-Gas-Wettbewerbes zwingen zu einer hoeheren Flexibilitaet, zur Einfuehrung neuer Marketingkonzepte und zu einer weiteren Erhoehung der Rentabilitaet unserer Versorgungsunternehmen durch Nutzung von neuen oder noch nicht ausgeschoepften Kosteneinsparungspotentialen. Eine wichtige Voraussetzung fuer den Aufbau einer modernen Gasbezugsoptimierung ist die prozessbegleitende dynamische Gasnetzsimulation. Ausserdem setzen moderne Verfahren der Netzsteuerung derartige Kenntnisse ueber den aktuellen Stroemungszustand im Netz voraus. Mit den im Simulationssystem vorhandenen Zustandsbeobachtern koennen die gewonnenen Aussagen gestuetzt und praezisiert werden. Mit Blick auf die neue Marktordnung gewinnt die online Gasnetzsimulation noch zusaetzlich an Bedeutung. Aus der zeitlichen Entkopplung von Menge und Preis, der Durchleitung sowie der Speicherung und des effektiven Einsatzes von Spottmengen leiten sich voellig neue Aufgaben ab, die operativ nur mit Hilfe einer qualitativ neuen Leittechnik und einer online Gasnetzsimulation geloest werden koennen. Werden diese Aufgaben nicht adaequat geloest, steigt das wirtschaftliche Risiko eklatant an. (orig.)

  11. Pediatric disaster preparedness of a hospital network in a large metropolitan region.

    Science.gov (United States)

    Ferrer, Rizaldy R; Balasuriya, Darshi; Iverson, Ellen; Upperman, Jeffrey S

    2010-01-01

    We describe pediatric-related emergency experiences and responses, disaster preparation and planning, emergency plan execution and evaluation, and hospital pediatric capabilities and vulnerabilities among a disaster response network in a large urban county in the West Coast of the United States. Using semistructured key informant interviews, the authors conducted qualitative research between March and April 2008. Eleven hospitals and a representative from the community clinic association agreed to participate (86 percent response rate) and a total of 22 key informant interviews were completed. Data were analyzed using ATLAS.ti.v.5.0, a qualitative analytical software program. Although hospitals have infrastructure to respond in the event of a large-scale disaster, well-established disaster preparedness plans have not fully accounted for the needs of children. The general hospitals do not anticipate a surge of pediatric victims in the event of a disaster, and they expect that children will be transported to a children's hospital as their conditions become stable. Even hospitals with well-established disaster preparedness plans have not fully accounted for the needs of children during a disaster. Improved communication between disaster network hospitals is necessary as incorrect information still persists.

  12. OPTIMIZATION OF THE POSITION OF THE LOCAL DISTRIBUTION CENTRE OF THE REGIONAL POST LOGISTICS NETWORK

    Directory of Open Access Journals (Sweden)

    Paweł DROŹDZIEL

    2017-09-01

    Full Text Available The phenomenon of the present postal services is the fact that, customers expect the lowest price while maintaining the availability, security and on time delivery of mail items. We can find that, the costs associated with transport of the postal substrate is one of the most important factors affecting the total cost of the postal services. These transport costs depend on various factors such as the investment in vehicles purchase, operational costs of the postal vehicles (costs of maintenance, repairs, fuel costs of the vehicle, etc. labour costs of the drivers and so on. For this reason, it is important to find such an operational - organizational solutions that can reduce the costs associated with the transportation of postal shipments, resulting in reducing the total cost of postal services. One option to do this is to minimize the length of postal transportation routes. This article presents the approach based on the application of graph theory to optimize existing connections of postal logistics network. Published results is oriented to revaluate existing position of local centre and find a location for the new local distribution centre potentially. New location of local distribution centre can to optimize (minimize the total transport costs of the local postal transportation network in area of the Lublin Province.

  13. Climate network analysis of regional precipitation extremes: The true story told by event synchronization

    Science.gov (United States)

    Odenweller, Adrian; Donner, Reik V.

    2017-04-01

    Over the last decade, complex network methods have been frequently used for characterizing spatio-temporal patterns of climate variability from a complex systems perspective, yielding new insights into time-dependent teleconnectivity patterns and couplings between different components of the Earth climate. Among the foremost results reported, network analyses of the synchronicity of extreme events as captured by the so-called event synchronization have been proposed to be powerful tools for disentangling the spatio-temporal organization of particularly extreme rainfall events and anticipating the timing of monsoon onsets or extreme floodings. Rooted in the analysis of spike train synchrony analysis in the neurosciences, event synchronization has the great advantage of automatically classifying pairs of events arising at two distinct spatial locations as temporally close (and, thus, possibly statistically - or even dynamically - interrelated) or not without the necessity of selecting an additional parameter in terms of a maximally tolerable delay between these events. This consideration is conceptually justified in case of the original application to spike trains in electroencephalogram (EEG) recordings, where the inter-spike intervals show relatively narrow distributions at high temporal sampling rates. However, in case of climate studies, precipitation extremes defined by daily precipitation sums exceeding a certain empirical percentile of their local distribution exhibit a distinctively different type of distribution of waiting times between subsequent events. This raises conceptual concerns if event synchronization is still appropriate for detecting interlinkages between spatially distributed precipitation extremes. In order to study this problem in more detail, we employ event synchronization together with an alternative similarity measure for event sequences, event coincidence rates, which requires a manual setting of the tolerable maximum delay between two

  14. Social Networks, Social Media and Absorptive Capacity in Regional Small and Medium Enterprises (SMES) in Australia

    Science.gov (United States)

    Bosua, Rachelle; Evans, Nina; Sawyer, Janet

    2013-01-01

    Small and Medium Enterprises (SMEs) are major sources of prosperity and employment and are viewed as critical to regional development in Australia. A key factor to foster productivity and growth in SMEs is their ability to identify, acquire, transform and exploit external knowledge. This ability, referred to as the "absorptive capacity…

  15. Triple helix networks matching knowledge demand and supply in seven Dutch horticulture Greenport regions

    NARCIS (Netherlands)

    Geerling-Eiff, Florentien A.; Hoes, Anne-Charlotte; Dijkshoorn-Dekker, Marijke

    2017-01-01

    This paper investigates the triple helix (industry, knowledge workers and governments) cooperation on knowledge co-production and valorisation for innovation, which took place in seven horticultural regions in the Netherlands. It thus provides more empirical insight into the functioning of this form

  16. Energy-WEB. Greenhouse sector in a sustainable regional energy network. Starting paper

    International Nuclear Information System (INIS)

    Van Liere, J.; Van Wunnik, A.W.M.; Van der Burgt, M.J.; Van Oosten, H.J.

    2004-08-01

    The horticulture sector can make use of surplus heat, produced within the greenhouses, and supply the heat to several energy consuming parties (other greenhouse businesses, buildings, etc.). Thus, a local or regional web of suppliers and consumers starts. This report is a starting memo which should inspire the debate on a sustainable energy supply for the greenhouse sector in the Netherlands [nl

  17. Interorganisational networking as the principal form of technological, innovative and research cooperation between Russia and the European Union in the Baltic region

    Directory of Open Access Journals (Sweden)

    Bolychev Oleg

    2013-12-01

    Full Text Available This article concerns the role that international cooperation in research, technology, and innovation plays in ensuring innovative development and producing an innovative model of the Russian economy. One of the key objectives of the country’s integration into international research, technological, and innovative space is the development of Russia-EU cooperation in the Baltic region. It is established that, with the development of integration connections and regionalization processes, interorganizational networking takes on special importance in the organization and development of the innovative space. The authors analyze the existing typologies of forms of cooperation in the field of research, technology, and innovation, within which cases of networking are identified. The article gives a definition of interorganizational networks in view of the spatial and structural components of networking. The authors introduce the notion of international interorganizational networks as a special form of international cooperation. A study into the spatial form of interorganizational networks helps explain the effect of different levels and types of economic integration. Key areas of research on international interorganizational networks are identified in view of the features of integration processes in the development of network processes and in the framework of network approach in general.

  18. Interorganisational networking as the principal form of technological, innovative and research cooperation between Russia and the European Union in the Baltic region

    Directory of Open Access Journals (Sweden)

    Bolychev Oleg

    2013-11-01

    Full Text Available This article concerns the role that international cooperation in research, technology, and innovation plays in ensuring innovative development and producing an innovative model of the Russian economy. One of the key objectives of the country’s integration into international research, technological, and innovative space is the development of Russia-EU cooperation in the Baltic region. It is established that, with the development of integration connections and regionalization processes, interorganizational networking takes on special importance in the organization and development of the innovative space. The authors analyze the existing typologies of forms of cooperation in the field of research, technology, and innovation, within which cases of networking are identified. The article gives a definition of interorganizational networks in view of the spatial and structural components of networking. The authors introduce the notion of international interorganizational networks as a special form of international cooperation. A study into the spatial form of interorganizational networks helps explain the effect of different levels and types of economic integration. Key areas of research on international interorganizational networks are identified in view of the features of integration processes in the development of network processes and in the framework of network approach in general.

  19. Model for Building a Distribution Network Based on the Multivariate Analysis of the Industrial and Logistical Potential of Regions

    Directory of Open Access Journals (Sweden)

    Alexander Vladimirovich Kirillov

    2015-12-01

    Full Text Available The international integration of the Russian economy is connected to the need of the realization of the competitive advantages of the geopolitical position of Russia, the industrial potential of regions, the logistic infrastructure of transport corridors. This article discusses the design model of the supply chain (distribution network based on the multivariate analysis and the methodology of the substantiation of its configuration based on the cost factors and the level of the logistics infrastructure development. For solving the problem of placing one or more logistics centers in the service area, a two-stage algorithm is used. At the first stage, the decisions on the reasonability of the choice of one or another version of the development are made with А. В. Кириллов, В. Е. Целин 345 ЭКОНОМИКА РЕГИОНА №4 (2015 the use of the “Make or Buy” standard model. The criterion of decision making is the guaranteed overcoming of the threshold of “indifference” taking into account the statistical characteristics of costs for options of “buy” and “make” depending on the volume of consumption of goods or services. At the second stage, the Ardalan’s heuristic method is used for the evaluation of the choice of placing one or more logistics centers in the service area. The model parameters are based on the assessment of the development prospects of the region and its investment potential (existence and composition of employment, production, natural resources, financial and consumer opportunities, institutional, innovation, infrastructure capacity. Furthermore, such criteria as a regional financial appeal, professionally trained specialists, the competitive advantages of the promoted company and others are analyzed. An additional criterion is the development of the priority matrix, which considers such factors as difficulties of customs registration and certification, a level of regional transport

  20. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.

    Science.gov (United States)

    Bandeira Diniz, João Otávio; Bandeira Diniz, Pedro Henrique; Azevedo Valente, Thales Levi; Corrêa Silva, Aristófanes; de Paiva, Anselmo Cardoso; Gattass, Marcelo

    2018-03-01

    The processing of medical image is an important tool to assist in minimizing the degree of uncertainty of the specialist, while providing specialists with an additional source of detect and diagnosis information. Breast cancer is the most common type of cancer that affects the female population around the world. It is also the most deadly type of cancer among women. It is the second most common type of cancer among all others. The most common examination to diagnose breast cancer early is mammography. In the last decades, computational techniques have been developed with the purpose of automatically detecting structures that maybe associated with tumors in mammography examination. This work presents a computational methodology to automatically detection of mass regions in mammography by using a convolutional neural network. The materials used in this work is the DDSM database. The method proposed consists of two phases: training phase and test phase. The training phase has 2 main steps: (1) create a model to classify breast tissue into dense and non-dense (2) create a model to classify regions of breast into mass and non-mass. The test phase has 7 step: (1) preprocessing; (2) registration; (3) segmentation; (4) first reduction of false positives; (5) preprocessing of regions segmented; (6) density tissue classification (7) second reduction of false positives where regions will be classified into mass and non-mass. The proposed method achieved 95.6% of accuracy in classify non-dense breasts tissue and 97,72% accuracy in classify dense breasts. To detect regions of mass in non-dense breast, the method achieved a sensitivity value of 91.5%, and specificity value of 90.7%, with 91% accuracy. To detect regions in dense breasts, our method achieved 90.4% of sensitivity and 96.4% of specificity, with accuracy of 94.8%. According to the results achieved by CNN, we demonstrate the feasibility of using convolutional neural networks on medical image processing techniques for

  1. International Regional Patterns of R&D Networks Involving Low Tech SMEs

    Directory of Open Access Journals (Sweden)

    Aurora A.C. Teixeira

    2013-03-01

    Full Text Available A large number of studies have emphasized the spatial proximity of economic activity and its relation to the spatiality of knowledge creation in various types of connections. Far less attention has been paid to the understanding of the determinants of ‘cultural’ and geographical proximity in international R&D cooperation projects involving SMEs and the role of the quality of the Regional Innovation System (RIS. Using a database of completed European Cooperative Research projects, we conclude that: 1 technologically more complex projects are more likely to involve ‘culturally’ and geographically distant partners; 2 RIS related variables determine ‘cultural’ proximity but not geographical proximity; 3 at first sight surprisingly, international cooperation projects involving the 1st promoters of innovation-led regions (high patent propensity and high human capital levels are culturally more distant.

  2. Learning Networks in Innovation Systems at Sector / Regional Level in Argentina: Winery and Dairy Industries

    OpenAIRE

    Guillermo Sanchez; Roberto Bisang

    2011-01-01

    This work studies how the set of relationships that gives place to the learning processes is established in the food indus- try in Argentina. A theoretical ad hoc approach is adopted, conjugating the concepts of innovation systems at sector / regional level with some context considerations like the innovative behaviour of the global and local food industry and a description of the public and private S&T in Argentina. The study is focused in two cases: the wine industry, at the Mendoza provinc...

  3. Southern Africa Fire Network (SAFNet) regional burned-area product-validation protocol

    CSIR Research Space (South Africa)

    Roy, DP

    2005-10-10

    Full Text Available on the spatial extent and timing of burning, as clouds may preclude hotspot detection and because the satellite may not overpass when burning occurs (Justice et al. 2002). Algorithms that use multi-temporal satellite data to map the areas affected by the passage... independent reference data from aircraft observations of prescribed fires and wildfires (Kaufman et al. 1998). However, aircraft campaigns are expensive to undertake in a regionally representative manner and are difficult to coordinate with cloud...

  4. [Incidence of infection from catheter procedures for regional anesthesia: first results from the network of DGAI and BDA].

    Science.gov (United States)

    Volk, T; Engelhardt, L; Spies, C; Steinfeldt, T; Gruenewald, D; Kutter, B; Heller, A; Werner, C; Heid, F; Bürkle, H; Gastmeier, P; Wernecke, K-D; Koch, T; Vicent, O; Geiger, P; Wulf, H

    2009-11-01

    To analyze safety issues of regional anaesthesia and analgesia in Germany only a few single center studies are available. Therefore, the German Society for Anaesthesiology and Intensive Care Medicine (Deutschen Gesellschaft für Anästhesiologie und Intensivmedizin, DGAI) and the Professional Association of German Anaesthetists (Berufsverband Deutscher Anästhesisten, BDA) initiated a network for safety in regional anaesthesia. From this the first results on infectious complications will be reported. In a Delphi process the documentation of the setup and maintenance of regional anaesthesia and analgesia was agreed with the participants in a working group from the DGAI. After approval by the officially authorized representative for patient data privacy protection a registry was programmed to collect anonymous data. Up to October 2008 data from 6 centers could be analyzed. After testing for plausibility 8,781 regional anaesthesia procedures (22,112 catheter days) could be analyzed. The 5,057 neuraxial and 3,724 peripheral catheter-based procedures were in place for a median of 2.48 days (range 1.0-3.0 days) and 4 severe, 15 moderate and 128 mild infections were recorded. Diabetics were not found to show a statistically significant increase in risk (2.6% compared to 1.9% for non-diabetics: n.s.). Neuraxial procedures seem to have a higher rate of infections than peripheral procedures (2.7% vs. 1.3%, p<0.0001). Multiple punctures of the skin also seem to be associated with a higher infection rate than single skin punctures (4.1% vs. 1.6%, p<0.0001). Infectious complications of catheter-based regional anaesthesia are common. Strict hygienic standards must therefore be complied with. More data are necessary to calculate risk factors. The registry provided can also be used as a benchmark to reduce these rates further.

  5. Ammonia and greenhouse gases losses from mechanically turned cattle manure windrows: A regional composting network.

    Science.gov (United States)

    Arriaga, Haritz; Viguria, Maialen; López, Diana M; Merino, Pilar

    2017-12-01

    An on-farm composting network operates in the Basque Country (northern Spain), in which solid manure produced in livestock farms (mostly dairy and beef cattle) is composted through windrow turning. This network aims to produce a valuable resource (compost) for the farmers whereas the volume of the solid manure was reduced at farm level The objective of the study was to assess the gaseous losses (NH 3 and GHG) from 6 on-farm composting windrows (either deep litter systems or solid fraction after slurry separation) after turning operations. Monitored turning events occurred 1 to 4 months after establishing the heaps on the field. Ammonia and greenhouse gas (GHG) losses were estimated by the open and close chamber techniques, respectively. Results showed overall low emission rates related to the long degradation period of the windrows. Maximum NH 3 release was at 2.0 mg m -2 d -1 after the second/third turning events. Baseline N 2 O losses were below 50 mg m -2 d -1 , with maximum rates close to 500 mg m -2 d -1 some days after turning works. Methane emissions were mostly below 100 mg m -2 d -1 , while CO 2 losses were lower than 25 g m -2 d -1 . Carbon dioxide peaks (≈250 g m -2 d -1 ) were reached after the second/third turnings. Overall, gaseous N and C losses accounted for 0.1 and 1% of the initial N and C content of the windrows, respectively. The present study concluded that two/three turning operations in aged solid manure-derived compost windrows do not have significant effects on NH 3 and GHG losses. The magnitude of the gaseous losses from on-farm composting systems is dependent on the manure management practices at farm level (e.g. moment of windrow stacking). Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. Multi-parameter observations in the Ibero-Moghrebian region: the Western Mediterranean seismic network (WM) and ROA GPS geodynamic network

    Science.gov (United States)

    Pazos, Antonio; Martín Davila, José; Buforn, Elisa; Gárate Pasquín, Jorge; Catalán Morollón, Manuel; Hanka, Winfried; Udías, Agustín.; Benzzeghoud, Mourad; Harnafi, Mimoun

    2010-05-01

    The plate boundary between Eurasia and Africa plates crosses the called "Ibero-Maghrebian" region from the San Vicente Cape (SW Portugal) to Tunisia including the South of Iberia, Alboran Sea, and northern Morocco and Algeria. In this area, the convergence, with a low rate, is accommodated over a wide and diffuse deformation zone, characterized by a significant and widespread moderate seismic activity [Buforn et al., 1995], and the occurrence of large earthquakes is separated by long time intervals. Since more than hundred years ago San Fernando Naval Observatory (ROA), in collaboration with other Institutes, has deployed different geophysical and geodetic equipment in the Southern Spain - North-western Africa area in order to study this broad deformation zone. Currently a Broad Band seismic net (Western Mediterranean, WM net) is deployed, in collaboration with other institutions, around the Gulf of Cádiz and the Alboran sea, with stations in the South of Iberia and in North Africa (at Spanish places and Morocco), together with the seismic stations a permanent geodetic GPS net is co-installed at the same sites. Also, other geophysical instruments have been installed: a Satellite Laser Ranging (SLR) station at San Fernando Observatory Headquarter, a Geomagnetic Observatory in Cádiz bay area and some meteorological stations. These networks have been recently improved with the deployment of a new submarine and on-land geophysical observatory in the Alboran island (ALBO Observatory), where a permanent GPS, a meteorological station were installed on land and a permanent submarine observatory in 50 meters depth was also deploy in last October (with a broad band seismic sensor, a 3 C accelerometer and a DPG). This work shows the present status and the future plans of these networks and some results.

  7. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.

    Directory of Open Access Journals (Sweden)

    Seung Seog Han

    Full Text Available Although there have been reports of the successful diagnosis of skin disorders using deep learning, unrealistically large clinical image datasets are required for artificial intelligence (AI training. We created datasets of standardized nail images using a region-based convolutional neural network (R-CNN trained to distinguish the nail from the background. We used R-CNN to generate training datasets of 49,567 images, which we then used to fine-tune the ResNet-152 and VGG-19 models. The validation datasets comprised 100 and 194 images from Inje University (B1 and B2 datasets, respectively, 125 images from Hallym University (C dataset, and 939 images from Seoul National University (D dataset. The AI (ensemble model; ResNet-152 + VGG-19 + feedforward neural networks results showed test sensitivity/specificity/ area under the curve values of (96.0 / 94.7 / 0.98, (82.7 / 96.7 / 0.95, (92.3 / 79.3 / 0.93, (87.7 / 69.3 / 0.82 for the B1, B2, C, and D datasets. With a combination of the B1 and C datasets, the AI Youden index was significantly (p = 0.01 higher than that of 42 dermatologists doing the same assessment manually. For B1+C and B2+ D dataset combinations, almost none of the dermatologists performed as well as the AI. By training with a dataset comprising 49,567 images, we achieved a diagnostic accuracy for onychomycosis using deep learning that was superior to that of most of the dermatologists who participated in this study.

  8. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.

    Science.gov (United States)

    Han, Seung Seog; Park, Gyeong Hun; Lim, Woohyung; Kim, Myoung Shin; Na, Jung Im; Park, Ilwoo; Chang, Sung Eun

    2018-01-01

    Although there have been reports of the successful diagnosis of skin disorders using deep learning, unrealistically large clinical image datasets are required for artificial intelligence (AI) training. We created datasets of standardized nail images using a region-based convolutional neural network (R-CNN) trained to distinguish the nail from the background. We used R-CNN to generate training datasets of 49,567 images, which we then used to fine-tune the ResNet-152 and VGG-19 models. The validation datasets comprised 100 and 194 images from Inje University (B1 and B2 datasets, respectively), 125 images from Hallym University (C dataset), and 939 images from Seoul National University (D dataset). The AI (ensemble model; ResNet-152 + VGG-19 + feedforward neural networks) results showed test sensitivity/specificity/ area under the curve values of (96.0 / 94.7 / 0.98), (82.7 / 96.7 / 0.95), (92.3 / 79.3 / 0.93), (87.7 / 69.3 / 0.82) for the B1, B2, C, and D datasets. With a combination of the B1 and C datasets, the AI Youden index was significantly (p = 0.01) higher than that of 42 dermatologists doing the same assessment manually. For B1+C and B2+ D dataset combinations, almost none of the dermatologists performed as well as the AI. By training with a dataset comprising 49,567 images, we achieved a diagnostic accuracy for onychomycosis using deep learning that was superior to that of most of the dermatologists who participated in this study.

  9. Regional homogeneity within the default mode network in bipolar depression: a resting-state functional magnetic resonance imaging study.

    Directory of Open Access Journals (Sweden)

    Chun-Hong Liu

    Full Text Available AIM: We sought to use a regional homogeneity (ReHo approach as an index in resting-state functional magnetic resonance imaging (fMRI to investigate the features of spontaneous brain activity within the default mode network (DMN in patients suffering from bipolar depression (BD. METHODS: Twenty-six patients with BD and 26 gender-, age-, and education-matched healthy subjects participated in the resting-state fMRI scans. We compared the differences in ReHo between the two groups within the DMN and investigated the relationships between sex, age, years of education, disease duration, the Hamilton Rating Scale for Depression (HAMD total score, and ReHo in regions with significant group differences. RESULTS: Our results revealed that bipolar depressed patients had increased ReHo in the left medial frontal gyrus and left inferior parietal lobe compared to healthy controls. No correlations were found between regional ReHo values and sex, age, and clinical features within the BD group. CONCLUSIONS: Our findings indicate that abnormal brain activity is mainly distributed within prefrontal-limbic circuits, which are believed to be involved in the pathophysiological mechanisms underlying bipolar depression.

  10. The ordered network structure of M {>=} 6 strong earthquakes and its prediction in the Jiangsu-South Yellow Sea region

    Energy Technology Data Exchange (ETDEWEB)

    Men, Ke-Pei [Nanjing Univ. of Information Science and Technology (China). College of Mathematics and Statistics; Cui, Lei [California Univ., Santa Barbara, CA (United States). Applied Probability and Statistics Dept.

    2013-05-15

    The the Jiangsu-South Yellow Sea region is one of the key seismic monitoring defence areas in the eastern part of China. Since 1846, M {>=} 6 strong earthquakes have showed an obvious commensurability and orderliness in this region. The main orderly values are 74 {proportional_to} 75 a, 57 {proportional_to} 58 a, 11 {proportional_to} 12 a, and 5 {proportional_to} 6 a, wherein 74 {proportional_to} 75 a and 57 {proportional_to} 58 a with an outstanding predictive role. According to the information prediction theory of Wen-Bo Weng, we conceived the M {>=} 6 strong earthquake ordered network structure in the South Yellow Sea and the whole region. Based on this, we analyzed and discussed the variation of seismicity in detail and also made a trend prediction of M {>=} 6 strong earthquakes in the future. The results showed that since 1998 it has entered into a new quiet episode which may continue until about 2042; and the first M {>=} 6 strong earthquake in the next active episode will probably occur in 2053 pre and post, with the location likely in the sea area of the South Yellow Sea; also, the second and the third ones or strong earthquake swarm in the future will probably occur in 2058 and 2070 pre and post. (orig.)

  11. [Report of the third meeting of the coordinators of the regional MRP networks in Germany on 15 and 16 December 2011 at the Robert Koch Institute].

    Science.gov (United States)

    Mielke, M

    2012-11-01

    Since 2004 the Robert Koch-Institute has supported the formation of regional networks for prevention of the spread of methicillin-resistant Staphylococcus aureus and multiresistant pathogens (MRSA/MRP, EpiBull 5/2005)). The third meeting of the coordinators of the regional MRP networks in Germany took place on 15 and 16 December 2011. A total of 60 representatives of the Public Health Services from 12 states participated. It must be emphasized that in the meantime many successfully established networks are active and not all coordinators of existing networks could participate merely due to the organizational format. Interested parties can obtain a good overview via a link to the corresponding internet homepage of each state under http://www.rki.de → Infektionsschutz → Krankenhaushygiene → Regionale Netzwerke. In summary it was clear that the number and the activity of regional MRP networks in Germany have further increased. The networks can synergistically benefit from important experiences through the different individual focal points of each network and a corresponding exchange of ideas.

  12. #HashtagSolidarities: Twitter debates and networks in the MENA region

    OpenAIRE

    2016-01-01

    During the course of the so-called Arab Spring, observers were quick to refer to the uprisings as »Facebook revolutions« or »Twitter revolutions«. Although the important role of social media in the 2011 upheavals in the Middle East and North Africa (MENA) is widely acknowledged, its impact on political processes in the region remains contested and contradictory. Rather than looking at social media through a transformation or security lens, the research presented here focused on how debates on...

  13. Potential Habitat Modelling of Ferula ovina Using Artificial Neural Network in Fereydunshahr Region, Isfahan Province

    Directory of Open Access Journals (Sweden)

    Z. Rahmati

    2015-06-01

    Full Text Available Species distribution maps have been widely developed based on ecological niche theory together with statistical and geographical information system in plant ecology. The current study aimed to evaluate Artificial Neural Network (ANN in mapping potential habitat of Ferula ovina Boiss in Ferydunshar rangelands, Isfahan. This is known as valuable forage and medicinal species. Environmental data (independent variables and species occurrence data (dependent variable were required to determine potential habitat of a given species. Some physical and chemical soil properties, climate and physiographic variables were mapped for the entire studied area using krigging and inverse distance weighting methods. F. ovina occurrence data were collected from 278 sites including 137 presence and 141 absence sites. The relationships between the studied environmental variables and F. ovina occurrence data were explored using ANN method. According to the sensitivity analysis, occurrence of F. ovina mostly correlated with silt and sand percentage, elevation slope, and organic matter. Model evaluation based on Kappa coefficient (0.66 and Receiver operating characteristic (ROC=0.9 showed good model fitness in relation to reality on local scales. The ANN technique enables managers to identify appropriate areas for rehabilitation practices such as direct seeding and planting.                       

  14. Training Working Memory in Childhood Enhances Coupling between Frontoparietal Control Network and Task-Related Regions.

    Science.gov (United States)

    Barnes, Jessica J; Nobre, Anna Christina; Woolrich, Mark W; Baker, Kate; Astle, Duncan E

    2016-08-24

    Working memory is a capacity upon which many everyday tasks depend and which constrains a child's educational progress. We show that a child's working memory can be significantly enhanced by intensive computer-based training, relative to a placebo control intervention, in terms of both standardized assessments of working memory and performance on a working memory task performed in a magnetoencephalography scanner. Neurophysiologically, we identified significantly increased cross-frequency phase amplitude coupling in children who completed training. Following training, the coupling between the upper alpha rhythm (at 16 Hz), recorded in superior frontal and parietal cortex, became significantly coupled with high gamma activity (at ∼90 Hz) in inferior temporal cortex. This altered neural network activity associated with cognitive skill enhancement is consistent with a framework in which slower cortical rhythms enable the dynamic regulation of higher-frequency oscillatory activity related to task-related cognitive processes. Whether we can enhance cognitive abilities through intensive training is one of the most controversial topics of cognitive psychology in recent years. This is particularly controversial in childhood, where aspects of cognition, such as working memory, are closely related to school success and are implicated in numerous developmental disorders. We provide the first neurophysiological account of how working memory training may enhance ability in childhood, using a brain recording technique called magnetoencephalography. We borrowed an analysis approach previously used with intracranial recordings in adults, or more typically in other animal models, called "phase amplitude coupling." Copyright © 2016 Barnes et al.

  15. Past and future of a regional railway network in Mezohegyes (Hungary area

    Directory of Open Access Journals (Sweden)

    Brigitta ZSOTER

    2011-01-01

    Full Text Available The role of railway network in the internal passenger and heavy traffic is continuously decreasing. Regarding the number of passengers, proportion of the railway out of the internal passenger transport was more than 20% less in 2000. The railway passenger transportation suffered a setback in shorter distances in the last decades. In case of railway transportation of goods both the carriage distance and the quantity of goods have decreased. Content of the load has changed, too. Comparing to the previous one, quantity of the transported building materials, metal waste, ores and coal etc. lessened. In contrast with it proportion of agricultural products, machines has increased. It is worth examining the changes in connection with the passenger and heavy traffic in the last few years not only in country level but in the level of several settlements, as well. In settlements’ life a transportation route of the infrastructural sphere plays an important role. In this essay it is aiming to examine the changes in railway traffic of town Mezohegyes, a settlement on the Southern part of the Hungarian Plain, between 1990 and 2006. Research work of this kind has been carried out about town Mezohegyes earlier.

  16. Brain regional networks active during the mismatch negativity vary with paradigm.

    Science.gov (United States)

    MacLean, Shannon E; Blundon, Elizabeth G; Ward, Lawrence M

    2015-08-01

    We used independent component analysis (ICA) of high-density EEG recordings coupled with single dipole fitting to identify the dominant brain regions active during the MMN in two different versions of a passive oddball paradigm: a simple, monotic, frequency-deviant paradigm and a more complex, dichotic, frequency-deviant paradigm with deviants occurring in either ear alone or in both ears at the same time. In both paradigms we found brain regional sources in the temporal and frontal cortices active during the MMN period, consistent with some previous studies. In the simpler paradigm, the scalp-potential variance during the earlier (70-120 ms) MMN was mostly accounted for by a wide array of temporal, frontal, and parietal sources. In the more complex paradigm, however, a generator in the prefrontal cortex accounted for a substantial amount of the variance of the scalp potential during the somewhat later MMN period (120-200 ms). These findings are consistent with a more nuanced view of the MMN and its generators than has been held in the past. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. Italian network for human biomonitoring of metals: preliminary results from two regions

    Directory of Open Access Journals (Sweden)

    Beatrice Bocca

    2010-01-01

    Full Text Available The Italian program for human biomonitoring (HBM of chemical elements, PROgram for Biomonitoring of the Exposure (PROBE, started in 2008 with the aim to provide the knowledge about risk assessment of the Italian population following the environmental exposure to metals. The project is implemented through a HBM campaign for the production of data on 19 metals in the blood and serum of subjects living in different Italian Regions. The metals studied are: antimony, beryllium, cadmium, chromium, cobalt, iridium, lead, manganese, mercury, molybdenum, nickel, palladium, platinum, rhodium, thallium, tin, tungsten, uranium and vanadium. The first phase of the project has included the development and validation of laboratory protocols for the collection of fluids and quantification of metals. The second phase provides the HBM data expressed as the reference values (RVs for the Italian population, i.e., as the level of metals in the general population not occupationally exposed. In this paper, the experimental protocols used for the maintenance of high standards of analysis and the RVs for metals in serum of inhabitants of two Italian Regions (Calabria and Umbria are described.

  18. RNA-Seq Mouse Brain Regions Expression Data Analysis: Focus on ApoE Functional Network

    Directory of Open Access Journals (Sweden)

    Babenko Vladimir N.

    2017-09-01

    Full Text Available ApoE expression status was proved to be a highly specific marker of energy metabolism rate in the brain. Along with its neighbor, Translocase of Outer Mitochondrial Membrane 40 kDa (TOMM40 which is involved in mitochondrial metabolism, the corresponding genomic region constitutes the neuroenergetic hotspot. Using RNA-Seq data from a murine model of chronic stress a significant positive expression coordination of seven neighboring genes in ApoE locus in five brain regions was observed. ApoE maintains one of the highest absolute expression values genome-wide, implying that ApoE can be the driver of the neighboring gene expression alteration observed under stressful loads. Notably, we revealed the highly statistically significant increase of ApoE expression in the hypothalamus of chronically aggressive (FDR < 0.007 and defeated (FDR < 0.001 mice compared to the control. Correlation analysis revealed a close association of ApoE and proopiomelanocortin (Pomc gene expression profiles implying the putative neuroendocrine stress response background of ApoE expression elevation therein.

  19. [Development of a microbiology data warehouse (Akita-ReNICS) for networking hospitals in a medical region].

    Science.gov (United States)

    Ueki, Shigeharu; Kayaba, Hiroyuki; Tomita, Noriko; Kobayashi, Noriko; Takahashi, Tomoe; Obara, Toshikage; Takeda, Masahide; Moritoki, Yuki; Itoga, Masamichi; Ito, Wataru; Ohsaga, Atsushi; Kondoh, Katsuyuki; Chihara, Junichi

    2011-04-01

    The active involvement of hospital laboratory in surveillance is crucial to the success of nosocomial infection control. The recent dramatic increase of antimicrobial-resistant organisms and their spread into the community suggest that the infection control strategy of independent medical institutions is insufficient. To share the clinical data and surveillance in our local medical region, we developed a microbiology data warehouse for networking hospital laboratories in Akita prefecture. This system, named Akita-ReNICS, is an easy-to-use information management system designed to compare, track, and report the occurrence of antimicrobial-resistant organisms. Participating laboratories routinely transfer their coded and formatted microbiology data to ReNICS server located at Akita University Hospital from their health care system's clinical computer applications over the internet. We established the system to automate the statistical processes, so that the participants can access the server to monitor graphical data in the manner they prefer, using their own computer's browser. Furthermore, our system also provides the documents server, microbiology and antimicrobiotic database, and space for long-term storage of microbiological samples. Akita-ReNICS could be a next generation network for quality improvement of infection control.

  20. Barbel species arrangement in a regional Natura 2000 network (Emilia Romagna, Northern Italy: An altitudinal perspective

    Directory of Open Access Journals (Sweden)

    Federica Piccoli

    2017-07-01

    Full Text Available Southern Europe hosts a large number of critical catchments for freshwater biodiversity, including endemic fish species. Unfortunately, these areas are severely threatened due to direct and indirect anthropogenic effects. In this context, with the aim to improve the effectiveness of threatened fish protection, the Life project BARBIE (LIFE13 NAT/IT/001129 started in 2014 and focused on three congeneric species of the genus Barbus: two of “priority interest” sensu Habitats Directive [Barbus caninus (Bonaparte, 1839, and B. plebejus (Bonaparte, 1839], and one alien [Barbus barbus (Linnaeus, 1758]. Our main objective was to assess the contribution of a complex of protected areas included in the Natura 2000 network – located in the provinces of Parma, Piacenza and Reggio Emilia (Norther Italy – to support the presence of the three barbel species in analysis. Additionally, we explored the role of a set of environmental variables (i.e., physical, chemical, biological, and land-use descriptors to drive the current conditions of the study sites and the responses of Barbus species. As a general rule, the present study confirmed a clear decline of the local native barbel populations, and confirmed the existence of a zonation pattern of the barbel taxa. Hence, we observed a strong altitude segregation between native vs. alien species, with the exotic B. barbus currently limited to plain and only sporadically present in the Apennine areas as genetic introgression. These evidences mirrored the altitudinal gradients of anthropogenic disturbance. The main causes were the progressive disappearance of well-structured riparian stripes, and the intense land use change, ranging from semi-natural patches (mountain and hill sectors to land clearing for intensive agriculture (lowland sectors. This highlights the need to take into account the spatial dynamics of alien invasive species in programming recovery actions that could have unexpected impacts to the

  1. Investigations into the Regional and Local Timescale Variations of Subglacial Drainage Networks

    Science.gov (United States)

    Hiester, Justin

    Subglacial water plays an important role in the regulation of an ice sheet's mass balance. It may be the dominant control on the velocities of ice streams and outlet glaciers on scales of months to millennia. Recent satellite observations of ice surface elevation changes have given researchers new insights into how subglacial water is stored and transported. Localized uplift and settling of the ice surface implies that lakes exist beneath the ice sheet that are being filled and drained on relatively short time scales. At the base of an ice sheet water can be transported through a variety of drainage networks or stored in subglacial lakes. Here, a numerical investigation of the mechanisms of transport and storage of subglacial water and the associated time scales is presented. Experiments are carried out using a finite element model of coupled ice and water flow. The first experiment seeks to understand the relationship between the depth of a basal depression and the area over which the feature affects basal water flow. It is found that as the perturbation to a topographic depression's depth is increased, water is rerouted in response to the perturbation. Additionally it is found that the relationship between perturbation depth and the extent upstream to which its effects reach is nonlinear. The second experiment examines how the aspect ratio of bed features (prolate, oblate, or equidimensional) influences basal water flow. It is found that the systems that develop and their interactions are mediated by both the topography and the feedbacks taken into account by the coupling of the systems in the model. Features oriented parallel to ice and water flow are associated with distributed fan systems that develop branches which migrate laterally across the domain and interact with one another on monthly and yearly timescales. Laterally oriented features develop laterally extensive ponds. As the ratio of longitudinal to lateral dimension of the topography is increased, a

  2. Vertical integration and contractual network in the cardiovascular sector: the experience of the Italian region Emilia Romagna

    Science.gov (United States)

    Ugolini, Cristina; Nobilio, Lucia

    2003-01-01

    Abstract Objective We analysed the integrated planning model adopted by the Italian region Emilia Romagna in year 2000 to cover the entire range of treatment of cardiovascular disease. This model, called “hub and spoke”, provides for the transfer of patient care and treatment from peripheral units (the spokes) to central units (the hubs) once a certain complexity threshold has been reached. Methods We examined inter-temporal variations in patients flows for the selection/referral and follow-up phases between cardiac surgery and cardiology units during two periods characterised by different organisational set-ups, in order to reflect on the progress being made in the organisation of the network. The database consisted of regional records of hospital discharges during the 1997–2001 period. Results The investigation pointed to the achievement of a good degree of coordination between structures at different levels of specialisation in the case of cardiac surgery, for which six centres were selected already in 1996. On the other hand, the more recent introduction of a hierarchical system for interventional cardiology points to the prevalence of operations on patients previously treated within the same centre, to admissions by direct access, and to follow-up mainly conducted within the hub providing the initial service. Conclusions Despite the progress made towards the more effective rationalisation of the health care network, there is still room for improvement in relations between different centres, in particular with regard to the clearer definition of the roles and interdependence of those intermediate-level centres located between the hub centres and basic healthcare facilities. PMID:16896380

  3. Vertical integration and contractual network in the cardiovascular sector: the experience of the Italian region Emilia Romagna.

    Science.gov (United States)

    Ugolini, Cristina; Nobilio, Lucia

    2003-01-01

    We analysed the integrated planning model adopted by the Italian region Emilia Romagna in year 2000 to cover the entire range of treatment of cardiovascular disease. This model, called "hub and spoke", provides for the transfer of patient care and treatment from peripheral units (the spokes) to central units (the hubs) once a certain complexity threshold has been reached. We examined inter-temporal variations in patients flows for the selection/referral and follow-up phases between cardiac surgery and cardiology units during two periods characterised by different organisational set-ups, in order to reflect on the progress being made in the organisation of the network. The database consisted of regional records of hospital discharges during the 1997-2001 period. The investigation pointed to the achievement of a good degree of coordination between structures at different levels of specialisation in the case of cardiac surgery, for which six centres were selected already in 1996. On the other hand, the more recent introduction of a hierarchical system for interventional cardiology points to the prevalence of operations on patients previously treated within the same centre, to admissions by direct access, and to follow-up mainly conducted within the hub providing the initial service. Despite the progress made towards the more effective rationalisation of the health care network, there is still room for improvement in relations between different centres, in particular with regard to the clearer definition of the roles and interdependence of those intermediate-level centres located between the hub centres and basic healthcare facilities.

  4. Hydraulic fracturing and the Crooked Lake Sequences: Insights gleaned from regional seismic networks

    Science.gov (United States)

    Schultz, Ryan; Stern, Virginia; Novakovic, Mark; Atkinson, Gail; Gu, Yu Jeffrey

    2015-04-01

    Within central Alberta, Canada, a new sequence of earthquakes has been recognized as of 1 December 2013 in a region of previous seismic quiescence near Crooked Lake, ~30 km west of the town of Fox Creek. We utilize a cross-correlation detection algorithm to detect more than 160 events to the end of 2014, which is temporally distinguished into five subsequences. This observation is corroborated by the uniqueness of waveforms clustered by subsequence. The Crooked Lake Sequences have come under scrutiny due to its strong temporal correlation (>99.99%) to the timing of hydraulic fracturing operations in the Duvernay Formation. We assert that individual subsequences are related to fracturing stimulation and, despite adverse initial station geometry, double-difference techniques allow us to spatially relate each cluster back to a unique horizontal well. Overall, we find that seismicity in the Crooked Lake Sequences is consistent with first-order observations of hydraulic fracturing induced seismicity.

  5. Scenarios of Earth system change in western Canada: Conceptual understanding and process insights from the Changing Cold Regions Network

    Science.gov (United States)

    DeBeer, C. M.; Wheater, H. S.; Pomeroy, J. W.; Stewart, R. E.; Turetsky, M. R.; Baltzer, J. L.; Pietroniro, A.; Marsh, P.; Carey, S.; Howard, A.; Barr, A.; Elshamy, M.

    2017-12-01

    The interior of western Canada has been experiencing rapid, widespread, and severe hydroclimatic change in recent decades, and this is projected to continue in the future. To better assess future hydrological, cryospheric and ecological states and fluxes under future climates, a regional hydroclimate project was formed under the auspices of the Global Energy and Water Exchanges (GEWEX) project of the World Climate Research Programme; the Changing Cold Regions Network (CCRN; www.ccrnetwork.ca) aims to understand, diagnose, and predict interactions among the changing Earth system components at multiple spatial scales over the Mackenzie and Saskatchewan River basins of western Canada. A particular challenge is in applying land surface and hydrological models under future climates, as system changes and cold regions process interactions are not often straightforward, and model structures and parameterizations based on historical observations and understanding of contemporary system functioning may not adequately capture these complexities. To address this and provide guidance and direction to the modelling community, CCRN has drawn insights from a multi-disciplinary perspective on the process controls and system trajectories to develop a set of feasible scenarios of change for the 21st century across the region. This presentation will describe CCRN's efforts towards formalizing these insights and applying them in a large-scale modelling context. This will address what are seen as the most critical processes and key drivers affecting hydrological, cryospheric and ecological change, how these will most likely evolve in the coming decades, and how these are parameterized and incorporated as future scenarios for terrestrial ecology, hydrological functioning, permafrost state, glaciers, agriculture, and water management.

  6. Dynamic clustering scheme based on the coordination of management and control in multi-layer and multi-region intelligent optical network

    Science.gov (United States)

    Niu, Xiaoliang; Yuan, Fen; Huang, Shanguo; Guo, Bingli; Gu, Wanyi

    2011-12-01

    A Dynamic clustering scheme based on coordination of management and control is proposed to reduce network congestion rate and improve the blocking performance of hierarchical routing in Multi-layer and Multi-region intelligent optical network. Its implement relies on mobile agent (MA) technology, which has the advantages of efficiency, flexibility, functional and scalability. The paper's major contribution is to adjust dynamically domain when the performance of working network isn't in ideal status. And the incorporation of centralized NMS and distributed MA control technology migrate computing process to control plane node which releases the burden of NMS and improves process efficiently. Experiments are conducted on Multi-layer and multi-region Simulation Platform for Optical Network (MSPON) to assess the performance of the scheme.

  7. The effect of social networks and norms on the inter-regional migration intentions of knowledge-workers: The case of Saxony, Germany

    DEFF Research Database (Denmark)

    Kaplan, Sigal; Gruenwald, Luise; Hirte, Georg

    2016-01-01

    This study investigates the migration intentions of current and future knowledge-workers in Saxony, Germany. A structural equation model (SEM) is applied to analyze the impact of social networks and norms on inter-regional migration, in addition to lifestyle and utilitarian location factors....... The dataset comprises 2731 young knowledge workers. The results show that: (i) migration intentions positively associate with social networks in other cities, subjective norms that West-is better than East-Germany, and that other regions provide better life opportunities; (ii) staying intentions positively...... relate to having origins, close friends and family in Saxony, and positive consideration of Saxony as an option by the parent; (iii) the structure of the social networks and norms is related to socio-economic characteristics, travel habits, and on-line social networks. (C) 2016 Elsevier Ltd. All rights...

  8. A GIS analysis of suitability for construction aggregate recycling sites using regional transportation network and population density features

    Science.gov (United States)

    Robinson, G.R.; Kapo, K.E.

    2004-01-01

    Aggregate is used in road and building construction to provide bulk, strength, support, and wear resistance. Reclaimed asphalt pavement (RAP) and reclaimed Portland cement concrete (RPCC) are abundant and available sources of recycled aggregate. In this paper, current aggregate production operations in Virginia, Maryland, and the District of Columbia are used to develop spatial association models for the recycled aggregate industry with regional transportation network and population density features. The cost of construction aggregate to the end user is strongly influenced by the cost of transporting processed aggregate from the production site to the construction site. More than 60% of operations recycling aggregate in the mid-Atlantic study area are located within 4.8 km (3 miles) of an interstate highway. Transportation corridors provide both sites of likely road construction where aggregate is used and an efficient means to move both materials and on-site processing equipment back and forth from various work sites to the recycling operations. Urban and developing areas provide a high market demand for aggregate and a ready source of construction debris that may be processed into recycled aggregate. Most aggregate recycling operators in the study area are sited in counties with population densities exceeding 77 people/km2 (200 people/mile 2). No aggregate recycling operations are sited in counties with less than 19 people/km2 (50 people/mile2), reflecting the lack of sufficient long-term sources of construction debris to be used as an aggregate source, as well as the lack of a sufficient market demand for aggregate in most rural areas to locate a recycling operation there or justify the required investment in the equipment to process and produce recycled aggregate. Weights of evidence analyses (WofE), measuring correlation on an area-normalized basis, and weighted logistic regression (WLR), are used to model the distribution of RAP and RPCC operations relative

  9. Assessment of Convolution Neural Networks for Surficial Geology Mapping in the South Rae Geological Region, Northwest Territories, Canada

    Directory of Open Access Journals (Sweden)

    Rasim Latifovic

    2018-02-01

    Full Text Available Mapping of surficial geology is an important requirement for broadening the geoscience database of northern Canada. Surficial geology maps are an integral data source for mineral and energy exploration. Moreover, they provide information such as the location of gravels and sands, which are important for infrastructure development. Currently, surficial geology maps are produced through expert interpretation of aerial photography and field data. However, interpretation is known to be subjective, labour-intensive and difficult to repeat. The expert knowledge required for interpretation can be challenging to maintain and transfer. In this research, we seek to assess the potential of deep neural networks to aid surficial geology mapping by providing an objective surficial materials initial layer that experts can modify to speed map development and improve consistency between mapped areas. Such an approach may also harness expert knowledge in a way that is transferable to unmapped areas. For this purpose, we assess the ability of convolution neural networks (CNN to predict surficial geology classes under two sampling scenarios. In the first scenario, a CNN uses samples collected over the area to be mapped. In the second, a CNN trained over one area is then applied to locations where the available samples were not used in training the network. The latter case is important, as a collection of in situ training data can be costly. The evaluation of the CNN was carried out using aerial photos, Landsat reflectance, and high-resolution digital elevation data over five areas within the South Rae geological region of Northwest Territories, Canada. The results are encouraging, with the CNN generating average accuracy of 76% when locally trained. For independent test areas (i.e., trained over one area and applied over other, accuracy dropped to 59–70% depending on the classes selected for mapping. In the South Rae region, significant confusion was found

  10. A training rule which guarantees finite-region stability for a class of closed-loop neural-network control systems.

    Science.gov (United States)

    Kuntanapreeda, S; Fullmer, R R

    1996-01-01

    A training method for a class of neural network controllers is presented which guarantees closed-loop system stability. The controllers are assumed to be nonlinear, feedforward, sampled-data, full-state regulators implemented as single hidden-layer neural networks. The controlled systems must be locally hermitian and observable. Stability of the closed-loop system is demonstrated by determining a Lyapunov function, which can be used to identify a finite stability region about the regulator point.

  11. Regional Journalism in Southeast Asia and ASEAN Identity in Making: Asia News Network as a Case for International and Intercultural Communication

    Directory of Open Access Journals (Sweden)

    Ulaş Başar Gezgin

    2014-06-01

    Full Text Available Somehow in analogy with the European Union, 10 Southeast Asian countries are in the process of forming a political and economic union which is (ASEAN Association of Southeast Asian Nations for decades. This process of regional integration goes in tandem with the regional media associations such as Asia News Network (ANN which is an Asian-German initiative that consists of daily newspapers from various Asian countries. As a regional association covering not only all ASEAN countries, but also ASEAN neighbors; ANN may serve a significant role for regional collaboration and integration. The network is instrumental to the promotion of freedom of speech which is not always easy to propound in some of these countries. This article analyzes news coverage and publication policy of ANN and discusses challenges and opportunities of regional journalism in SEA as a case for international and intercultural communication.

  12. Learning Networks in Innovation Systems at Sector / Regional Level in Argentina: Winery and Dairy Industries

    Directory of Open Access Journals (Sweden)

    Guillermo Sanchez

    2011-11-01

    Full Text Available This work studies how the set of relationships that gives place to the learning processes is established in the food industry in Argentina. A theoretical ad hoc approach is adopted, conjugating the concepts of innovation systems at sector / regional level with some context considerations like the innovative behaviour of the global and local food industry and a description of the public and private S&T in Argentina. The study is focused in two cases: the wine industry, at the Mendoza province, and the dairy products industry at the centre of the Santa Fe province, both in Argentina. While the winery industry at the province of Mendoza exports differentiated products the dairy industry, at the central basin of the province of Santa Fe, exports commodities leaving differentiated (functional products for the domestic market. These facts determine different dynamics between them, despite of what the established set of relationships is very complex and knowledge intensive in both cases. Also, in both cases the preponderant contribution of the public institutions of science and technology as knowledge and technology source is flagged.

  13. A Pontine Region is a Neural Correlate of the Human Affective Processing Network

    Directory of Open Access Journals (Sweden)

    Tatia M.C. Lee

    2015-11-01

    Full Text Available The in vivo neural activity of the pons during the perception of affective stimuli has not been studied despite the strong implications of its role in affective processing. To examine the activity of the pons during the viewing of affective stimuli, and to verify its functional and structural connectivity with other affective neural correlates, a multimodal magnetic resonance imaging methodology was employed in this study. We observed the in vivo activity of the pons when viewing affective stimuli. Furthermore, small-world connectivity indicated that the functional connectivity (FC between the pons and the cortico-limbic affective regions was meaningful, with the coefficient λ being positively associated with self-reported emotional reactivity. The FC between the pons and the cortico-limbic-striatal areas was related to self-reported negative affect. Corroborating this finding was the observation that the tract passing through the pons and the left hippocampus was negatively related to self-reported positive affect and positively correlated with emotional reactivity. Our findings support the framework that the pons works conjunctively with the distributed cortico-limbic-striatal systems in shaping individuals' affective states and reactivity. Our work paves the path for future research on the contribution of the pons to the precipitation and maintenance of affective disorders.

  14. A theoretical cost optimization model of reused flowback distribution network of regional shale gas development

    International Nuclear Information System (INIS)

    Li, Huajiao; An, Haizhong; Fang, Wei; Jiang, Meng

    2017-01-01

    The logistical issues surrounding the timing and transport of flowback generated by each shale gas well to the next is a big challenge. Due to more and more flowback being stored temporarily near the shale gas well and reused in the shale gas development, both transportation cost and storage cost are the heavy burden for the developers. This research proposed a theoretical cost optimization model to get the optimal flowback distribution solution for regional multi shale gas wells in a holistic perspective. Then, we used some empirical data of Marcellus Shale to do the empirical study. In addition, we compared the optimal flowback distribution solution by considering both the transportation cost and storage cost with the flowback distribution solution which only minimized the transportation cost or only minimized the storage cost. - Highlights: • A theoretical cost optimization model to get optimal flowback distribution solution. • An empirical study using the shale gas data in Bradford County of Marcellus Shale. • Visualization of optimal flowback distribution solutions under different scenarios. • Transportation cost is a more important factor for reducing the cost. • Help the developers to cut the storage and transportation cost of reusing flowback.

  15. Successful integration efforts in water quality from the integrated Ocean Observing System Regional Associations and the National Water Quality Monitoring Network

    Science.gov (United States)

    Ragsdale, R.; Vowinkel, E.; Porter, D.; Hamilton, P.; Morrison, R.; Kohut, J.; Connell, B.; Kelsey, H.; Trowbridge, P.

    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.

  16. Private sector embedded water risk: Merging the corn supply chain network and regional watershed depletion

    Science.gov (United States)

    Kim, T.; Brauman, K. A.; Schmitt, J.; Goodkind, A. L.; Smith, T. M.

    2016-12-01

    Water scarcity in US corn farming regions is a significant risk consideration for the ethanol and meat production sectors, which comprise 80% of all US corn demand. Water supply risk can lead to effects across the supply chain, affecting annual corn yields. The purpose of our study is to assess the water risk to the US's most corn-intensive sectors and companies by linking watershed depletion estimates with corn production, linked to downstream companies through a corn transport model. We use a water depletion index as an improved metric for seasonal water scarcity and a corn sourcing supply chain model based on economic cost minimization. Water depletion was calculated as the fraction of renewable (ground and surface) water consumption, with estimates of more than 75% depletion on an annual average basis indicating a significant water risk. We estimated company water risk as the amount of embedded corn coming from three categories of water stressed counties. The ethanol sector had 3.1% of sourced corn grown from counties that were more than 75% depleted while the beef sector had 14.0%. From a firm perspective, Tyson, JBS, Cargill, the top three US corn demanding companies, had 4.5%, 9.6%, 12.8% of their sourced corn respectively, coming from watersheds that are more than 75% depleted. These numbers are significantly higher than the global average of 2.2% of watersheds being classified as more than 75% depleted. Our model enables corn using industries to evaluate their supply chain risk of water scarcity through modeling corn sourcing and watershed depletion, providing the private sector a new method for risk estimation. Our results suggest corn dependent industries are already linked to water scarcity risk in disproportionate amounts due to the spatial heterogeneity of corn sourcing and water scarcity.

  17. Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state

    Directory of Open Access Journals (Sweden)

    Yan-li Yang

    2015-01-01

    Full Text Available It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we investigated feature binding of color and shape in visual perception. Functional magnetic resonance imaging data were collected from 38 healthy volunteers at rest and while performing a visual perception task to construct brain networks active during resting and task states. Results showed that brain regions involved in visual information processing were obviously activated during the task. The components were partitioned using a greedy algorithm, indicating the visual network existed during the resting state. Z-values in the vision-related brain regions were calculated, confirming the dynamic balance of the brain network. Connectivity between brain regions was determined, and the result showed that occipital and lingual gyri were stable brain regions in the visual system network, the parietal lobe played a very important role in the binding process of color features and shape features, and the fusiform and inferior temporal gyri were crucial for processing color and shape information. Experimental findings indicate that understanding visual feature binding and cognitive processes will help establish computational models of vision, improve image recognition technology, and provide a new theoretical mechanism for feature binding in visual perception.

  18. Determination of Spatio-Temporal Characteristics of D-region Electron Density during Annular Solar Eclipse from VLF Network Observations

    Science.gov (United States)

    Basak, T.; Hobara, Y.

    2015-12-01

    A major part of the path of the annular solar eclipse of May 20, 2012 (magnitude 0.9439) was over southern Japan. The D-region ionospheric changes associated with that eclipse, led to several degree of observable perturbations of sub-ionospheric very low frequency (VLF) radio signal. The University of Electro-Communications (UEC) operates VLF observation network over Japan. The solar eclipse associated signal changes were recorded in several receiving stations (Rx) simultaneously for the VLF signals coming from NWC/19.8kHz, JJI/22.2kHz, JJY/40.0kHz, NLK/24.8kHz and other VLF transmitters (Tx). These temporal dependences of VLF signal perturbation have been analyzed and the spatio-temporal characteristics of respective sub-ionospheric perturbations has already been studied by earlier workers using 2D-Finite Difference Time Domain method of simulation. In this work, we determine the spatial scale, depth and temporal dependence of lower ionospheric perturbation in consistence with umbral and penumbral motion. We considered the 2-parameter D-region ionospheric model with exponential electron density profile. To model the solar obscuration effect over it, we assumed a generalized space-time dependent 2-dimensional elliptical Gaussian distribution for ionospheric parameters, such as, effective reflection height (h') and sharpness factor (β). The depth (△hmax, △βmax), center of shadow (lato(t), lono(t)) and spatial scale (σlat,lon) of that Gaussian distribution are used as model parameters. In the vicinity of the eclipse zone, we compute the VLF signal perturbations using Long Wave Propagation Capability (LWPC) code for several signal propagation paths. The propagation path characteristics, such as, ground and water conductivity and geomagnetic effect on ionosphere are considered from standard LWPC prescriptions. The model parameters are tuned to set an optimum agreement between our computation and observed positive and negative type of VLF perturbations. Thus

  19. Asleep versus awake: does it matter?: Pediatric regional block complications by patient state: a report from the Pediatric Regional Anesthesia Network.

    Science.gov (United States)

    Taenzer, Andreas H; Walker, Benjamin J; Bosenberg, Adrian T; Martin, Lynn; Suresh, Santhanam; Polaner, David M; Wolf, Christie; Krane, Elliot J

    2014-01-01

    The impact of the patient state at time of placement of regional blocks on the risk of complications is unknown. Current opinion is based almost entirely on case reports, despite considerable interest in the question. Analyzing more than 50,000 pediatric regional anesthesia blocks from an observational prospective database, we determined the rate of adverse events in relation to the patient's state at the time of block placement. Primary outcomes considered were postoperative neurologic symptoms (PONSs) and local anesthetic systemic toxicity (LAST). Secondary outcome was extended hospital stay due to a block complication. The Pediatric Regional Anesthesia Network is a multi-institutional research consortium that was created with an emphasis on rigorous, prospective, and complete data collection including a data validation and audit process. For the purpose of the analysis, blocks were divided in major groups by single injection versus continuous and by block location. Rates were determined in aggregate for these groups and classified further based on the patient's state (general anesthesia [GA] without neuromuscular blockade [NMB], GA with NMB, sedated, and awake) at the time of block placement. Postoperative neurological symptoms occurred at a rate of 0.93/1000 (confidence interval [CI], 0.7-1.2) under GA and 6.82/1000 (CI, 4.2-10.5) in sedated and awake patients. The only occurrence of PONSs lasting longer than 6 months (PONSs-L) was a small sensory deficit in a sedated patient (0.019/1000 [CI, 0-0.1] for all, 0.48/1000 [CI, 0.1-2.7] for sedated patients). There were no cases of paralysis. There were 5 cases of LAST or 0.09/1000 (CI, 0.03-0.21). The incidence of LAST in patients under GA (both with and without NMB) was 0.08/1000 (CI, 0.02-0.2) and 0.34/1000 (CI, 0-1.9) in awake/sedated patients. Extended hospital stays were described 18 times (0.33/1000 [CI, 0.2-0.53]). The rate for patients under GA without NMB was 0.29/1000 (CI, 0.13-0.48); GA with NMB, 0

  20. Impact of ambiguity resolution and application of transformation parameters obtained by regional GNSS network in Precise Point Positioning

    Science.gov (United States)

    Gandolfi, S.; Poluzzi, L.; Tavasci, L.

    2012-12-01

    Precise Point Positioning (PPP) is one of the possible approaches for GNSS data processing. As known this technique is faster and more flexible compared to the others which are based on a differenced approach and constitute a reliable methods for accurate positioning of remote GNSS stations, even in some remote area such as Antarctica. Until few years ago one of the major limits of the method was the impossibility to resolve the ambiguity as integer but nowadays many methods are available to resolve this aspect. The first software package permitting a PPP solution was the GIPSY OASIS realized, developed and maintained by JPL (NASA). JPL produce also orbits and files ready to be used with GIPSY. Recently, using these products came possible to resolve ambiguities improving the stability of solutions. PPP permit to estimate position into the reference frame of the orbits (IGS) and when coordinate in others reference frames, such al ITRF, are needed is necessary to apply a transformation. Within his products JPL offer, for each day, a global 7 parameter transformation that permit to locate the survey into the ITRF RF. In some cases it's also possible to create a costumed process and obtain analogous parameters using local/regional reference network of stations which coordinates are available also in the desired reference frame. In this work some tests on accuracy has been carried out comparing different PPP solutions obtained using the same software packages (GIPSY) but considering the ambiguity resolution, the global and regional transformation parameters. In particular two test area have been considered, first one located in Antarctica and the second one in Italy. Aim of the work is the evaluation of the impact of ambiguity resolution and the use of local/regional transformation parameter in the final solutions. Tests shown how the ambiguity resolution improve the precision, especially in the EAST component with a scattering reduction about 8%. And the use of global

  1. Network interactions within the canine intrinsic cardiac nervous system: implications for reflex control of regional cardiac function

    Science.gov (United States)

    Beaumont, Eric; Salavatian, Siamak; Southerland, E Marie; Vinet, Alain; Jacquemet, Vincent; Armour, J Andrew; Ardell, Jeffrey L

    2013-01-01

    The aims of the study were to determine how aggregates of intrinsic cardiac (IC) neurons transduce the cardiovascular milieu versus responding to changes in central neuronal drive and to determine IC network interactions subsequent to induced neural imbalances in the genesis of atrial fibrillation (AF). Activity from multiple IC neurons in the right atrial ganglionated plexus was recorded in eight anaesthetized canines using a 16-channel linear microelectrode array. Induced changes in IC neuronal activity were evaluated in response to: (1) focal cardiac mechanical distortion; (2) electrical activation of cervical vagi or stellate ganglia; (3) occlusion of the inferior vena cava or thoracic aorta; (4) transient ventricular ischaemia, and (5) neurally induced AF. Low level activity (ranging from 0 to 2.7 Hz) generated by 92 neurons was identified in basal states, activities that displayed functional interconnectivity. The majority (56%) of IC neurons so identified received indirect central inputs (vagus alone: 25%; stellate ganglion alone: 27%; both: 48%). Fifty per cent transduced the cardiac milieu responding to multimodal stressors applied to the great vessels or heart. Fifty per cent of IC neurons exhibited cardiac cycle periodicity, with activity occurring primarily in late diastole into isovolumetric contraction. Cardiac-related activity in IC neurons was primarily related to direct cardiac mechano-sensory inputs and indirect autonomic efferent inputs. In response to mediastinal nerve stimulation, most IC neurons became excessively activated; such network behaviour preceded and persisted throughout AF. It was concluded that stochastic interactions occur among IC local circuit neuronal populations in the control of regional cardiac function. Modulation of IC local circuit neuronal recruitment may represent a novel approach for the treatment of cardiac disease, including atrial arrhythmias. PMID:23818689

  2. Volcano-tectonic deformation in the Kivu Region, Central Africa: Results from six years of continuous GNSS observations of the Kivu Geodetic Network (KivuGNet)

    Science.gov (United States)

    Geirsson, Halldor; d'Oreye, Nicolas; Mashagiro, Niche; Syauswa, Muhindo; Celli, Gilles; Kadufu, Benjamin; Smets, Benoît; Kervyn, François

    2017-10-01

    We present an overview of the installation, operation, and initial results of the 15-station KivuGNet (Kivu Geodetic Network) in the Kivu Region, Central Africa. The network serves primarily as a research and monitoring tool for active volcanic, earthquake, and plate boundary processes in the region. Continuous operation of in-situ measurement networks in naturally and politically harsh environments is challenging, but has proven fruitful in this case. During the operation of the network since 2009, KivuGNet has captured: co-eruptive deformation from two eruptions of Nyamulagira (in 2010 and 2011-2012); inter-eruptive deformation, which we interpret as a combination of plate motion across the Western - East Africa Rift, and decreasing deep-seated magma accumulation under the Nyiragongo-Nyamulagira region; co-seismic deformation from the Mw5.8 August 7, 2015 Lwiro earthquake at the western border of Lake Kivu. We hope that this study will serve as a motivation for further implementation of in-situ geodetic networks in under-monitored and under-studied sections of the East African Rift.

  3. Element Production in the S-Cl Region During Carbon Burning in Massive Stars. Using Computer Systems for Modeling of the Nuclear-Reaction Network

    CERN Document Server

    Szalanski, P; Marganeic, A; Gledenov, Yu M; Sedyshev, P V; Machrafi, R; Oprea, A; Padureanu, I; Aranghel, D

    2002-01-01

    This paper presents results of calculations for nuclear network in S-Cl region during helium burning in massive stars (25 M_{\\odot}) using integrated mathematical systems. The authors also examine other application of presented method in different physical tasks.

  4. Element production in the S - Cl region during carbon burning in massive stars. Using computer systems for modeling of the nuclear-reaction network

    International Nuclear Information System (INIS)

    Szalanski, P.; Stepinski, M.; Marganiec, A.; Gledenov, Yu.M.; Sedyshev, P.V.; Machrafi, R.; Oprea, A.; Padureanu, I.; Aranghel, D.

    2002-01-01

    This paper presents results of calculations for nuclear network in S - Cl region during helium burning in massive stars (25 solar mass) using integrated mathematical systems. The authors also examine other application of the presented method in different physical tasks. (author)

  5. Estimation of monthly global solar radiation in the eastern Mediterranean region in Turkey by using artificial neural networks

    International Nuclear Information System (INIS)

    Sahan, Muhittin; Yakut, Emre

    2016-01-01

    In this study, an artificial neural network (ANN) model was used to estimate monthly average global solar radiation on a horizontal surface for selected 5 locations in Mediterranean region for period of 18 years (1993-2010). Meteorological and geographical data were taken from Turkish State Meteorological Service. The ANN architecture designed is a feed-forward back-propagation model with one-hidden layer containing 21 neurons with hyperbolic tangent sigmoid as the transfer function and one output layer utilized a linear transfer function (purelin). The training algorithm used in ANN model was the Levenberg Marquand back propagation algorith (trainlm). Results obtained from ANN model were compared with measured meteorological values by using statistical methods. A correlation coefficient of 97.97 (~98%) was obtained with root mean square error (RMSE) of 0.852 MJ/m 2 , mean square error (MSE) of 0.725 MJ/m 2 , mean absolute bias error (MABE) 10.659MJ/m 2 , and mean absolute percentage error (MAPE) of 4.8%. Results show good agreement between the estimated and measured values of global solar radiation. We suggest that the developed ANN model can be used to predict solar radiation another location and conditions

  6. Focal mechanisms in the southern Aegean from temporary seismic networks - implications for the regional stress field and ongoing deformation processes

    Science.gov (United States)

    Friederich, W.; Brüstle, A.; Küperkoch, L.; Meier, T.; Lamara, S.; Egelados Working Group

    2014-05-01

    The lateral variation of the stress field in the southern Aegean plate and the subducting Hellenic slab is determined from recordings of seismicity obtained with the CYCNET and EGELADOS networks in the years from 2002 to 2007. First motions from 7000 well-located microearthquakes were analysed to produce 540 well-constrained focal mechanisms. They were complemented by another 140 derived by waveform matching of records from larger events. Most of these earthquakes fall into 16 distinct spatial clusters distributed over the southern Aegean region. For each cluster, a stress inversion could be carried out yielding consistent estimates of the stress field and its spatial variation. At crustal levels, the stress field is generally dominated by a steeply dipping compressional principal stress direction except in places where coupling of the subducting slab and overlying plate come into play. Tensional principal stresses are generally subhorizontal. Just behind the forearc, the crust is under arc-parallel tension whereas in the volcanic areas around Kos, Columbo and Astypalea tensional and intermediate stresses are nearly degenerate. Further west and north, in the Santorini-Amorgos graben and in the area of the islands of Mykonos, Andros and Tinos, tensional stresses are significant and point around the NW-SE direction. Very similar stress fields are observed in western Turkey with the tensional axis rotated to NNE-SSW. Intermediate-depth earthquakes below 100 km in the Nisyros region indicate that the Hellenic slab experiences slab-parallel tension at these depths. The direction of tension is close to east-west and thus deviates from the local NW-oriented slab dip presumably owing to the segmentation of the slab. Beneath the Cretan sea, at shallower levels, the slab is under NW-SE compression. Tensional principal stresses in the crust exhibit very good alignment with extensional strain rate principal axes derived from GPS velocities except in volcanic areas, where both

  7. Automatic detection of anatomical regions in frontal x-ray images: comparing convolutional neural networks to random forest

    Science.gov (United States)

    Olory Agomma, R.; Vázquez, C.; Cresson, T.; De Guise, J.

    2018-02-01

    Most algorithms to detect and identify anatomical structures in medical images require either to be initialized close to the target structure, or to know that the structure is present in the image, or to be trained on a homogeneous database (e.g. all full body or all lower limbs). Detecting these structures when there is no guarantee that the structure is present in the image, or when the image database is heterogeneous (mixed configurations), is a challenge for automatic algorithms. In this work we compared two state-of-the-art machine learning techniques in order to determine which one is the most appropriate for predicting targets locations based on image patches. By knowing the position of thirteen landmarks points, labelled by an expert in EOS frontal radiography, we learn the displacement between salient points detected in the image and these thirteen landmarks. The learning step is carried out with a machine learning approach by exploring two methods: Convolutional Neural Network (CNN) and Random Forest (RF). The automatic detection of the thirteen landmarks points in a new image is then obtained by averaging the positions of each one of these thirteen landmarks estimated from all the salient points in the new image. We respectively obtain for CNN and RF, an average prediction error (both mean and standard deviation in mm) of 29 +/-18 and 30 +/- 21 for the thirteen landmarks points, indicating the approximate location of anatomical regions. On the other hand, the learning time is 9 days for CNN versus 80 minutes for RF. We provide a comparison of the results between the two machine learning approaches.

  8. Perspektivy setevogo sotrudnichestva Rossii i stran ES v innovacionnoj sfere na Baltike [Innovations in the Baltic Sea Region and Network Cooperation between Russia and the EU

    Directory of Open Access Journals (Sweden)

    Fedorov Gennady

    2013-01-01

    Full Text Available Transnational (involving countries and cross-border (involving adjacent regions of different countries cooperation and integration are rapidly developing in the Baltic Sea region. Russia lags behind the Nordic countries and Germany as far as innovative development is concerned; yet our national pace here is comparable to that of Poland and the three Baltic States. At the same time, the features of innovative cooperation vary a great deal depending on the group of countries involved in cooperation processes. Independent of its type, however, international cooperation is beneficial for all parties concerned and should therefore be more actively encouraged. Northwestern Federal District traditionally plays a special role in the development of EU-Russia cooperation, since a number of its regions border on the EU countries. The district participates in the development of network innovative structures within the Baltic Sea region. It takes an active part in cross-border cooperation — activities that involve the formation of transborder innovative clusters. There are high expectations associated with the formation of such territorially localised innovative networks, as the Helsinki — Saint Petersburg — Tallinn and Tricity (Gdansk, Gdynia, Sopot — Kaliningrad — Klaipeda transborder innovative clusters. The city of Saint Petersburg and the adjacent Leningrad region, as well as the Kaliningrad region can become innovative development corridors between Russia and the EU and, eventually, develop into the ‘economic growth poles’ of the Russian Federation.

  9. [Regional geriatric care concept in the District of Lippe : Structural effects and network formation in the case management-based model project].

    Science.gov (United States)

    Şahin, Charlotte; Iseringhausen, Olaf; Hower, Kira; Liebe, Constanze; Rethmeier-Hanke, Anja; Wedmann, Bernd

    2018-04-01

    Regional planning of healthcare requires special consideration for the complex needs of elderly, multimorbid people living in a domestic environment. In the District of Lippe, a hospital (Klinikum Lippe) and network of ambulatory care physicians (Ärztenetz Lippe) developed and tested a geriatric care network based on case management for geriatric patients living in a domestic environment. The establishment of the geriatric care network (e.g. promoting networking acceptance and implementation) was formatively evaluated, e. g. with qualitative methods. Data were acquired by guideline-based interviews with experts and analyzed by qualitative content analysis according to Mayring. Structural effects included forming a cross-sectoral and interdisciplinary network for a functioning care network and a geriatric care pathway. The practical work of case managers (CM) is essential for communication with patients, family members and care providers as well as integrating providers into the network. A critical factor was working together with general practitioners and the close cooperation with the hospital's department of geriatric. The quality of care is improved because of exchange of information between sectors and continuity in the course of care. In the District of Lippe the quality of care was improved and structures of care were integrated by the network according to the needs of the target group. The integrative perspective was achieved in particular by the geriatric care pathway and integration of providers into the communication and care process; however, the scope of this care model could not be extended into routine care due to the rigid and subdivided health care system.

  10. Building a mechanistic biogeochemical reaction network for upscaling : Characterization of mass transport limitation between regions of hydrolysis and methanogenesis

    NARCIS (Netherlands)

    Van Turnhout, A.G.; Kleerebezem, R.; Heimovaara, T.J.

    2015-01-01

    In this study, we aim to validate the reaction network with an idealized experiment. We want to show that 1) rate controlling parameters are identifiable from the measured data by inverse modeling, and 2) that this network is able to predict the measured emissions in the experiment given the initial

  11. 2013 Asia-Pacific Education Research Institutes Network (ERI-Net) Regional Study on Transversal Competencies in Education Policy & Practice (Phase I). Regional Synthesis Report

    Science.gov (United States)

    Yoko, Satoko

    2015-01-01

    This report provides an understanding of how transversal competencies are viewed, implemented, and adapted in education policy and curriculum across the Asia-Pacific region. The publication consolidates the results of ten country studies carried out in 2013-2014 in ten countries and economies of the Asia-Pacific region, including: Australia; China…

  12. Description and analysis of the poultry trading network in the Lake Alaotra region, Madagascar: implications for the surveillance and control of Newcastle disease.

    Science.gov (United States)

    Rasamoelina-Andriamanivo, H; Duboz, R; Lancelot, R; Maminiaina, O F; Jourdan, M; Rakotondramaro, T M C; Rakotonjanahary, S N; de Almeida, R Servan; Rakotondravao; Durand, B; Chevalier, V

    2014-07-01

    Madagascar's 36.5-million-head poultry industry holds a foremost place in its economy and the livelihood of its people. Unfortunately, regular Newcastle disease outbreaks associated with high mortality causes high losses for smallholders and threatens their livelihood. Therefore, Madagascar is seeking concrete, achievable and sustainable methods for the surveillance and the control of Newcastle disease. In this paper, we present and analyze the results of a field study conducted in Madagascar between December 2009 and December 2010. The study area was the Lac Alaotra region, a landlocked area in the north-eastern part of the country's center. Poultry trading is suspected of playing a major role in the spread of avian diseases, especially in developing countries characterized by many live-bird markets and middlemen. Therefore, the goals of our study were to: (i) describe and analyze smallholders' poultry trading network in the Lake Alaotra region using social network analysis; (ii) assess the role of the network in the spread of Newcastle disease; and (iii) propose the implementation of a targeted disease surveillance based on the characteristics of the poultry trading network. We focused our field study on the harvesting of two data sets. The first is a complete description of the poultry trading network in the landlocked area of Lac Alaotra, including a description of the poultry movements between groups of villages. The second set of data measures the occurrence of outbreaks in the same area by combining a participatory approach with an event-based surveillance method. These data were used to determine the attributes of the network, and to statistically assess the association between the position of nodes and the occurrence of outbreaks. By using social network analysis techniques combined with a classification method and a logistic model, we finally identified 3 nodes (set of villages), of the 387 in the initial network, to focus on for surveillance and control

  13. Data reduction and tying in regional gravity surveys—results from a new gravity base station network and the Bouguer gravity anomaly map for northeastern Mexico

    Science.gov (United States)

    Hurtado-Cardador, Manuel; Urrutia-Fucugauchi, Jaime

    2006-12-01

    Since 1947 Petroleos Mexicanos (Pemex) has conducted oil exploration projects using potential field methods. Geophysical exploration companies under contracts with Pemex carried out gravity anomaly surveys that were referred to different floating data. Each survey comprises observations of gravity stations along highways, roads and trails at intervals of about 500 m. At present, 265 separate gravimeter surveys that cover 60% of the Mexican territory (mainly in the oil producing regions of Mexico) are available. This gravity database represents the largest, highest spatial resolution information, and consequently has been used in the geophysical data compilations for the Mexico and North America gravity anomaly maps. Regional integration of gravimeter surveys generates gradients and spurious anomalies in the Bouguer anomaly maps at the boundaries of the connected surveys due to the different gravity base stations utilized. The main objective of this study is to refer all gravimeter surveys from Pemex to a single new first-order gravity base station network, in order to eliminate problems of gradients and spurious anomalies. A second objective is to establish a network of permanent gravity base stations (BGP), referred to a single base from the World Gravity System. Four regional loops of BGP covering eight States of Mexico were established to support the tie of local gravity base stations from each of the gravimeter surveys located in the vicinity of these loops. The third objective is to add the gravity constants, measured and calculated, for each of the 265 gravimeter surveys to their corresponding files in the Pemex and Instituto Mexicano del Petroleo database. The gravity base used as the common datum is the station SILAG 9135-49 (Latin American System of Gravity) located in the National Observatory of Tacubaya in Mexico City. We present the results of the installation of a new gravity base network in northeastern Mexico, reference of the 43 gravimeter surveys

  14. Report on the International Workshop “Networks, Regions and Institutions in Mongol Eurasia: A Meso-Historical Analysis”, Jerusalem, 17–18 May, 2017

    OpenAIRE

    Roman Hautala

    2017-01-01

    On May 17–18, 2017, an international workshop “Networks, Regions and Institutions in Mongol Eurasia: A Meso-Historical Analysis” was held at the Hebrew University in Jerusalem with the participation of researchers from Israel, Japan, Britain, United States, Russia, China, Hungary and Finland. The main goal of the workshop was to reveal the potential of the “meso-historical analysis” in the study of the Mongol Empire, including the simultaneous consideration of global changes in Eurasia caused...

  15. The Role of Nuclear Power in Hungary, a Regional Comparison

    International Nuclear Information System (INIS)

    Cserhati, A.

    2016-01-01

    The presentation and paper are giving the broad picture on the country's nuclear competence and the atomic electricity production in international appraisal. The Central and Eastern Europe (CEE) region nuclear statistics were compiled by the author and appear in compact, easily understandable graphical form: Worldwide and regional figures of nuclear share for electricity generation. Types of operating nuclear power plant units. Age and performance (cumulative load factors) of units. Power uprate history of affected units. Status of the long term operation (or by earlier name: lifetime extension) projects. The cycle length expansion is a transition from 12 to 15 month fuel cycle, as a pioneering initiative of Paks NPP for efficiency increase of VVER-440 type. New build trends will be outlined in general for the world, Europe and the CEE region. The last topic is the Hungarian path to Paks-5 and Paks-6 completion. Preparatory projects (Teller and Levai), establishment of the Paks II company. Potential suppliers and types for the new build (AREVA EPR, ATMEA Atmea1, KEPCO/KHNP APR1400, Rosatom AES-2006, Toshiba-Westinghouse AP1000). Intergovernmental agreement with Russian Federation for building of two 1200 MW units. Financing of 80 percent of the investment by Russian loan with moderate interest rates. Planned schedule of the new build. EC infringement procedures. Public acceptance. (author).

  16. Sostenibilidad a largo plazo de los déficits fiscales y por cuenta corriente de la balanza de pagos en los países miembros de la C.E.E

    OpenAIRE

    Anchuelo Crego, Álvaro

    1993-01-01

    El objetivo principal de la tesis es aplicar tests de sostenibilidad basados en el cumplimiento de la restricción presupuestaria intertemporal a cada país miembro de la C.E.E. Se estudian tanto el cnjunto de la nación como el sector administraciones públicas y el sector privado. Para ello, en el capítulo primero se hace una revisión de la literatura previamente existente, introduciendo una notación matricial que permite regoger los distintos tests como casos particulares. En el capítulo segun...

  17. Use of the self-organising map network (SOMNet) as a decision support system for regional mental health planning.

    Science.gov (United States)

    Chung, Younjin; Salvador-Carulla, Luis; Salinas-Pérez, José A; Uriarte-Uriarte, Jose J; Iruin-Sanz, Alvaro; García-Alonso, Carlos R

    2018-04-25

    Decision-making in mental health systems should be supported by the evidence-informed knowledge transfer of data. Since mental health systems are inherently complex, involving interactions between its structures, processes and outcomes, decision support systems (DSS) need to be developed using advanced computational methods and visual tools to allow full system analysis, whilst incorporating domain experts in the analysis process. In this study, we use a DSS model developed for interactive data mining and domain expert collaboration in the analysis of complex mental health systems to improve system knowledge and evidence-informed policy planning. We combine an interactive visual data mining approach, the self-organising map network (SOMNet), with an operational expert knowledge approach, expert-based collaborative analysis (EbCA), to develop a DSS model. The SOMNet was applied to the analysis of healthcare patterns and indicators of three different regional mental health systems in Spain, comprising 106 small catchment areas and providing healthcare for over 9 million inhabitants. Based on the EbCA, the domain experts in the development team guided and evaluated the analytical processes and results. Another group of 13 domain experts in mental health systems planning and research evaluated the model based on the analytical information of the SOMNet approach for processing information and discovering knowledge in a real-world context. Through the evaluation, the domain experts assessed the feasibility and technology readiness level (TRL) of the DSS model. The SOMNet, combined with the EbCA, effectively processed evidence-based information when analysing system outliers, explaining global and local patterns, and refining key performance indicators with their analytical interpretations. The evaluation results showed that the DSS model was feasible by the domain experts and reached level 7 of the TRL (system prototype demonstration in operational environment). This

  18. Bushmeat networks link the forest to urban areas in the trifrontier region between Brazil, Colombia, and Peru

    Directory of Open Access Journals (Sweden)

    Nathalie van Vliet

    2015-09-01

    Full Text Available Recent studies have intended to quantify urban consumption and trade in Amazonian towns. However, little is still known about the different ways in which bushmeat is made available in urban areas, including commercial and noncommercial flows, and how those flows contribute to link forests to urban livelihoods. In this study we qualitatively describe the structure and functioning of bushmeat flows in terms of species, catchment area, stakeholders involved, and the motivations for their activity in the main towns of the Amazon trifrontier region between Brazil, Colombia, and Peru. We show that bushmeat trade to urban areas exists under an organized but invisible commodity chain providing a source of income to about 195 persons. Bushmeat is made available either directly from the hunter to the urban consumer, at the main market place, or in food stalls and restaurants. On the Colombian border, the trade is totally invisible, whereas in Peru and Brazil, bushmeat is sold in open markets despite regulations. The catchment area comprises the main rivers: up to Caballococha along the Amazon River, along the Atacuary River in Peru, along the Javari River between Peru and Brazil, and along the Loretoyacu and Amacayacu rivers in Colombia and in periurban forests. Although the trade is rather localized (no commercial flows to larger towns, international transborder trade is commonplace, disregarding Convention on International Trade in Endangered Species of Wild Fauna and Flora regulations. Bushmeat clients in urban areas are mainly nonindigenous or mestizos who can afford bushmeat as a luxury meal. Instead, indigenous people in urban areas do not access bushmeat through the market but rather through their social networks with whom they maintain noncommercial flows including immediate exchange and long-term exchange mechanisms. Although bushmeat is no longer consumed as a daily meal among urban and periurban indigenous families, it constitutes what could be

  19. The Use of Neuraxial Catheters for Postoperative Analgesia in Neonates: A Multicenter Safety Analysis from the Pediatric Regional Anesthesia Network.

    Science.gov (United States)

    Long, Justin B; Joselyn, Anita S; Bhalla, Tarun; Tobias, Joseph D; De Oliveira, Gildasio S; Suresh, Santhanam

    2016-06-01

    Currently, there is limited evidence to support the safety of neuraxial catheters in neonates. Safety concerns have been cited as a major barrier to performing large randomized trials in this population. The main objective of this study is to examine the safety of neuraxial catheters in neonates across multiple institutions. Specifically, we sought to determine the incidence of overall and individual complications encountered when neuraxial catheters were used for postoperative analgesia in neonates. This was an observational study that used the Pediatric Regional Anesthesia Network database. Complications and adverse events were defined by the presence of at least 1 of the following intraoperative and/or postoperative factors: catheter malfunction (dislodgment/occlusion), infection, block abandoned (unable to place), block failure (no evidence of block), vascular (blood aspiration/hematoma), local anesthetic systemic toxicity, excessive motor block, paresthesia, persistent neurologic deficit, and other (e.g., intra-abdominal misplacement, tremors). Additional analyses were performed to identify the use of potentially toxic doses of local anesthetics. The study cohort included 307 neonates with a neuraxial catheter. There were 41 adverse events and complications recorded, resulting in an overall incidence of complications of 13.3% (95% confidence interval, 9.8%-17.4%). Among the complications, catheter malfunction, catheter contamination, and vascular puncture were common. None of the complications resulted in long-term complications and/or sequelae, resulting in an estimated incidence of any serious complications of 0.3% (95% confidence interval, 0.08%-1.8%). There were 120 of 307 patients who received intraoperative and/or postoperative infusions consistent with a potentially toxic local anesthetic dose in neonates. The incidence of potentially toxic local anesthetic infusion rates increased over time (P = 0.008). Neuraxial catheter techniques for intraoperative

  20. Engaging Local Communities in Arctic Observing Networks: A Collaborative Shoreline Change Risk WebGIS for Alaska's Arctic Slope Region

    Science.gov (United States)

    Brady, M.

    2017-12-01

    This study engaged local community stakeholders in Alaska's Arctic Slope Region to develop a web-based shoreline change risk geographic information system (WebGIS) in collaboration with the North Slope Borough and its residents. The value of the effort includes rich spatial documentation of local risks across the vast, remote, and rapidly changing shoreline, and identification of local manager information needs to direct WebGIS development. The study advances our understanding of shoreline change problems from the perspective of local Arctic communities beyond municipal impacts while building decision support. Over fifty local residents in three communities with collective coastal knowledge that extends across the National Petroleum Reserve - Alaska and Arctic National Wildlife Refuge shared their perspectives on hard copy maps. Sixteen managers provided usability perceptions of a beta WebGIS with shoreline change susceptibility information summarized at relevant asset locations such as subsistence camps. The hard copy maps with 300 "problem places" were digitized for analysis, which revealed problems across the coastline, especially challenges to boating for subsistence hunting such as shoaling cutting off access and creating hazards. The usability workshop revealed specific information needs including the need to monitor impacts at decommissioned national defense radar sites repurposed by locals to centralize oil and gas activity. These results were analyzed using an Instructional Systems Design (ISD) framework consisting of front-end and formative WebGIS evaluation phases. The front-end evaluation is the local input on hard copy maps, which provided local verification of coastal risks. The formative evaluation is the usability workshop with managers, which informed WebGIS development while promoting user buy-in. In terms of product and process, the local knowledge and information needs collected are significant because they establish local engagement with the

  1. Improved diagnostic accuracy of Alzheimer's disease by combining regional cortical thickness and default mode network functional connectivity: Validated in the Alzheimer's disease neuroimaging initiative set

    International Nuclear Information System (INIS)

    Park, Ji Eun; Park, Bum Woo; Kim, Sang Joon; Kim, Ho Sung; Choi, Choong Gon; Jung, Seung Jung; Oh, Joo Young; Shim, Woo Hyun; Lee, Jae Hong; Roh, Jee Hoon

    2017-01-01

    To identify potential imaging biomarkers of Alzheimer's disease by combining brain cortical thickness (CThk) and functional connectivity and to validate this model's diagnostic accuracy in a validation set. Data from 98 subjects was retrospectively reviewed, including a study set (n = 63) and a validation set from the Alzheimer's Disease Neuroimaging Initiative (n = 35). From each subject, data for CThk and functional connectivity of the default mode network was extracted from structural T1-weighted and resting-state functional magnetic resonance imaging. Cortical regions with significant differences between patients and healthy controls in the correlation of CThk and functional connectivity were identified in the study set. The diagnostic accuracy of functional connectivity measures combined with CThk in the identified regions was evaluated against that in the medial temporal lobes using the validation set and application of a support vector machine. Group-wise differences in the correlation of CThk and default mode network functional connectivity were identified in the superior temporal (p < 0.001) and supramarginal gyrus (p = 0.007) of the left cerebral hemisphere. Default mode network functional connectivity combined with the CThk of those two regions were more accurate than that combined with the CThk of both medial temporal lobes (91.7% vs. 75%). Combining functional information with CThk of the superior temporal and supramarginal gyri in the left cerebral hemisphere improves diagnostic accuracy, making it a potential imaging biomarker for Alzheimer's disease

  2. New Geographies of Accumulation, Globalising Firm Networks and the Role of the Auckland Region in the Australasian Economy

    Directory of Open Access Journals (Sweden)

    Richard Le Heron

    2012-01-01

    Full Text Available Surprisingly little theoretical or empirical research is available on Auckland’s actual functional and geographic connectivity, including developments relating to closer economic relations with Australia. This paper draws on the geography of accumulation literatures to argue that close attention must be given to developments in the three circuits of capital (trade, production and finance if the changing character and contributions of globalising firm networks are to be discerned and understood. The empirical investigations show that for Australian owned firms globalising rather than purely Australasian networks are the norm, network complexity is considerable and that it makes sense to think of Auckland’s economy in globalising terms. A globalising networks perspective means that estimates of the magnitude and assessments of the character of employment contributions of Australian owned firms to the Auckland economy reflects these interdependencies.

  3. Propagation of kinetic uncertainties through a canonical topology of the TLR4 signaling network in different regions of biochemical reaction space

    Directory of Open Access Journals (Sweden)

    St Laurent Georges

    2010-03-01

    Full Text Available Abstract Background Signal transduction networks represent the information processing systems that dictate which dynamical regimes of biochemical activity can be accessible to a cell under certain circumstances. One of the major concerns in molecular systems biology is centered on the elucidation of the robustness properties and information processing capabilities of signal transduction networks. Achieving this goal requires the establishment of causal relations between the design principle of biochemical reaction systems and their emergent dynamical behaviors. Methods In this study, efforts were focused in the construction of a relatively well informed, deterministic, non-linear dynamic model, accounting for reaction mechanisms grounded on standard mass action and Hill saturation kinetics, of the canonical reaction topology underlying Toll-like receptor 4 (TLR4-mediated signaling events. This signaling mechanism has been shown to be deployed in macrophages during a relatively short time window in response to lypopolysaccharyde (LPS stimulation, which leads to a rapidly mounted innate immune response. An extensive computational exploration of the biochemical reaction space inhabited by this signal transduction network was performed via local and global perturbation strategies. Importantly, a broad spectrum of biologically plausible dynamical regimes accessible to the network in widely scattered regions of parameter space was reconstructed computationally. Additionally, experimentally reported transcriptional readouts of target pro-inflammatory genes, which are actively modulated by the network in response to LPS stimulation, were also simulated. This was done with the main goal of carrying out an unbiased statistical assessment of the intrinsic robustness properties of this canonical reaction topology. Results Our simulation results provide convincing numerical evidence supporting the idea that a canonical reaction mechanism of the TLR4

  4. CTI capacity building seminar for CEE/FSU countries. Climate technology and energy efficiency. Challenges and changes for climate technology. Seminar proceedings

    Energy Technology Data Exchange (ETDEWEB)

    Tempel, Sybille; Moench, Harald (eds.); Mez, Lutz; Krug, Michael (comps.) [Free Univ. Berlin (DE). Environmental Policy Research Centre (FFU)

    2005-01-15

    Within the CTI Capacity Building Seminar for CEE/FSU Countries at 20th to 24th September, 2003 in Tutzing (Federal Republic of Germany) the following lectures were held: (1) Excursion to fuel cell pilot project (Peter Fleischmann); (2) How to construct a climate change program - some basics (Franzjosef Schafhausen); (3) The EU emissions trading directive (Felix Matthes); (4) Emissions trading - The implementation of the EU-Directive in Germany (Franzjosef Schafhausen); (5) Emissions trading from a buyer's perspective (Albrecht von Ruffer); (6) Emissions trading from a seller's perspective: Czech Republic (Toma Chmelik); (7) Discussant notes: Emissions trading (Sonja Butzengeiger); (8) Carbon finance and the world bank: Chances, experiences, lessons learned (Charlotte Streck); (9) Joint implementation: Relationship to and compatibility with the emission trading scheme (Franzjosef Schafhausen); (10) Clean development mechanism in Central Asia (Liliya Zavyalova); (11) Creating a national CDM system in Georgia (Paata Janelidze); (12) Experiences from the certification of JI/CDM projects (Michael Rumberg); (13) Discussant notes Session JI and CDM (Tiit Kallaste); (14) The EU Directive on electricity from renewable energy sources 2001/77/EC (Volkmar Lauber); (15) Amending the Renewable Energy Source Act (Thorsten Mueller); (16) The new renewables support scheme in te Czech Republic (Martin Busik); (17) Replacing nuclear energy by renewables. The case of Lithunia (Kestutis Buinevicius); (18) Renewables in the New Energy Acts of Estonia (Villu Vares); (19) Discussant notes: Session incentive schemes for renewables (Hans-Joachim Ziesing); (20) Bankable energy efficiency projects - How to get energy efficiency investment financed (Petra Opitz); (21) Clear contract - clearinghouse for contracting (Ralf Goldmann); (22) CHP as an important element of a sustainable energy use in Germany (Juergen Landrebe); (23) The European CHP Directive - a step towards the smarter

  5. Assessing coastal wetland vulnerability to sea-level rise along the northern Gulf of Mexico coast: Gaps and opportunities for developing a coordinated regional sampling network.

    Science.gov (United States)

    Osland, Michael J; Griffith, Kereen T; Larriviere, Jack C; Feher, Laura C; Cahoon, Donald R; Enwright, Nicholas M; Oster, David A; Tirpak, John M; Woodrey, Mark S; Collini, Renee C; Baustian, Joseph J; Breithaupt, Joshua L; Cherry, Julia A; Conrad, Jeremy R; Cormier, Nicole; Coronado-Molina, Carlos A; Donoghue, Joseph F; Graham, Sean A; Harper, Jennifer W; Hester, Mark W; Howard, Rebecca J; Krauss, Ken W; Kroes, Daniel E; Lane, Robert R; McKee, Karen L; Mendelssohn, Irving A; Middleton, Beth A; Moon, Jena A; Piazza, Sarai C; Rankin, Nicole M; Sklar, Fred H; Steyer, Greg D; Swanson, Kathleen M; Swarzenski, Christopher M; Vervaeke, William C; Willis, Jonathan M; Wilson, K Van

    2017-01-01

    Coastal wetland responses to sea-level rise are greatly influenced by biogeomorphic processes that affect wetland surface elevation. Small changes in elevation relative to sea level can lead to comparatively large changes in ecosystem structure, function, and stability. The surface elevation table-marker horizon (SET-MH) approach is being used globally to quantify the relative contributions of processes affecting wetland elevation change. Historically, SET-MH measurements have been obtained at local scales to address site-specific research questions. However, in the face of accelerated sea-level rise, there is an increasing need for elevation change network data that can be incorporated into regional ecological models and vulnerability assessments. In particular, there is a need for long-term, high-temporal resolution data that are strategically distributed across ecologically-relevant abiotic gradients. Here, we quantify the distribution of SET-MH stations along the northern Gulf of Mexico coast (USA) across political boundaries (states), wetland habitats, and ecologically-relevant abiotic gradients (i.e., gradients in temperature, precipitation, elevation, and relative sea-level rise). Our analyses identify areas with high SET-MH station densities as well as areas with notable gaps. Salt marshes, intermediate elevations, and colder areas with high rainfall have a high number of stations, while salt flat ecosystems, certain elevation zones, the mangrove-marsh ecotone, and hypersaline coastal areas with low rainfall have fewer stations. Due to rapid rates of wetland loss and relative sea-level rise, the state of Louisiana has the most extensive SET-MH station network in the region, and we provide several recent examples where data from Louisiana's network have been used to assess and compare wetland vulnerability to sea-level rise. Our findings represent the first attempt to examine spatial gaps in SET-MH coverage across abiotic gradients. Our analyses can be used

  6. Assessing coastal wetland vulnerability to sea-level rise along the northern Gulf of Mexico coast: Gaps and opportunities for developing a coordinated regional sampling network.

    Directory of Open Access Journals (Sweden)

    Michael J Osland

    Full Text Available Coastal wetland responses to sea-level rise are greatly influenced by biogeomorphic processes that affect wetland surface elevation. Small changes in elevation relative to sea level can lead to comparatively large changes in ecosystem structure, function, and stability. The surface elevation table-marker horizon (SET-MH approach is being used globally to quantify the relative contributions of processes affecting wetland elevation change. Historically, SET-MH measurements have been obtained at local scales to address site-specific research questions. However, in the face of accelerated sea-level rise, there is an increasing need for elevation change network data that can be incorporated into regional ecological models and vulnerability assessments. In particular, there is a need for long-term, high-temporal resolution data that are strategically distributed across ecologically-relevant abiotic gradients. Here, we quantify the distribution of SET-MH stations along the northern Gulf of Mexico coast (USA across political boundaries (states, wetland habitats, and ecologically-relevant abiotic gradients (i.e., gradients in temperature, precipitation, elevation, and relative sea-level rise. Our analyses identify areas with high SET-MH station densities as well as areas with notable gaps. Salt marshes, intermediate elevations, and colder areas with high rainfall have a high number of stations, while salt flat ecosystems, certain elevation zones, the mangrove-marsh ecotone, and hypersaline coastal areas with low rainfall have fewer stations. Due to rapid rates of wetland loss and relative sea-level rise, the state of Louisiana has the most extensive SET-MH station network in the region, and we provide several recent examples where data from Louisiana's network have been used to assess and compare wetland vulnerability to sea-level rise. Our findings represent the first attempt to examine spatial gaps in SET-MH coverage across abiotic gradients. Our

  7. Investigating the Potential Impacts of Energy Production in the Marcellus Shale Region Using the Shale Network Database and CUAHSI-Supported Data Tools

    Science.gov (United States)

    Brazil, L.

    2017-12-01

    The Shale Network's extensive database of water quality observations enables educational experiences about the potential impacts of resource extraction with real data. Through open source tools that are developed and maintained by the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), researchers, educators, and citizens 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 collection efforts led by an academic team and involving numerous individuals from government agencies, citizen science organizations, and private industry. Thus far, CUAHSI-supported data tools have been used to engage 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 developing educational material, and the resources available to learn more.

  8. Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection.

    Science.gov (United States)

    Sarikaya, Duygu; Corso, Jason J; Guru, Khurshid A

    2017-07-01

    Video understanding of robot-assisted surgery (RAS) videos is an active research area. Modeling the gestures and skill level of surgeons presents an interesting problem. The insights drawn may be applied in effective skill acquisition, objective skill assessment, real-time feedback, and human-robot collaborative surgeries. We propose a solution to the tool detection and localization open problem in RAS video understanding, using a strictly computer vision approach and the recent advances of deep learning. We propose an architecture using multimodal convolutional neural networks for fast detection and localization of tools in RAS videos. To the best of our knowledge, this approach will be the first to incorporate deep neural networks for tool detection and localization in RAS videos. Our architecture applies a region proposal network (RPN) and a multimodal two stream convolutional network for object detection to jointly predict objectness and localization on a fusion of image and temporal motion cues. Our results with an average precision of 91% and a mean computation time of 0.1 s per test frame detection indicate that our study is superior to conventionally used methods for medical imaging while also emphasizing the benefits of using RPN for precision and efficiency. We also introduce a new data set, ATLAS Dione, for RAS video understanding. Our data set provides video data of ten surgeons from Roswell Park Cancer Institute, Buffalo, NY, USA, performing six different surgical tasks on the daVinci Surgical System (dVSS) with annotations of robotic tools per frame.

  9. University Students' Perceptions of Social Networking Sites (SNSs) in Their Educational Experiences at a Regional Australian University

    Science.gov (United States)

    Sadowski, Christina; Pediaditis, Mika; Townsend, Robert

    2017-01-01

    Higher education institutions, and the way education is delivered and supported, are being transformed by digital technologies. Internationally, institutions are increasingly incorporating online technologies into delivery frameworks and administration -- both through internal learning management systems (LMS) and external social networking sites…

  10. The role of conflict minerals, artisanal mining, and informal trading networks in African intrastate and regional conflicts

    Science.gov (United States)

    Chirico, Peter G.; Malpeli, Katherine C.

    2014-01-01

    The relationship between natural resources and armed conflict gained public and political attention in the 1990s, when it became evident that the mining and trading of diamonds were connected with brutal rebellions in several African nations. Easily extracted resources such as alluvial diamonds and gold have been and continue to be exploited by rebel groups to fund their activities. Artisanal and small-scale miners operating under a quasi-legal status often mine these mineral deposits. While many African countries have legalized artisanal mining and established flow chains through which production is intended to travel, informal trading networks frequently emerge in which miners seek to evade taxes and fees by selling to unauthorized buyers. These networks have the potential to become international in scope, with actors operating in multiple countries. The lack of government control over the artisanal mining sector and the prominence of informal trade networks can have severe social, political, and economic consequences. In the past, mineral extraction fuelled violent civil wars in Sierra Leone, Liberia, and Angola, and it continues to do so today in several other countries. The significant influence of the informal network that surrounds artisanal mining is therefore an important security concern that can extend across borders and have far-reaching impacts.

  11. Sustainable intensification of U.S. agriculture: Aspirations and barriers in the regional agroecosystems of the LTAR network

    Science.gov (United States)

    The sustainable intensification of agriculture in the United States will require major shifts in producer decision-making, markets, and public policies. The Long-Term Agroecosystem Research (LTAR) network is working to better understand how these shifts may be accomplished. Through a common experime...

  12. [Integration of district psychiatric hospitals into the development of regional community psychiatry networks--the actual state. Results of a survey among medical directors of Bavarian district hospitals].

    Science.gov (United States)

    Welschehold, Michael; Kraus, Eva

    2004-11-01

    In this study, the medical directors of all Bavarian district psychiatric hospitals evaluated certain aspects of the integration of their hospitals into the development of regional community psychiatry networks ("Gemeindepsychiatrische Verbunde" - GPVs). They were asked to rate the actual quantity of cooperation between their hospitals and diverse community based services and to express their requests concerning the quality of cooperation. An estimation of possible advantages of the hospitals' integration in GPVs and expectations to future perspectives of GPV development were also investigated. The data were collected by a written questionnaire. The results of the survey indicate that a high relevance is attached to GPV: inspite of current heterogenous developments and inspite of existing skepticism concerning the feasibility of a complete GPV structure, medical directors strongly approve of seeing their hospitals actively engaged in the further development of community psychiatry networks.

  13. Local-regional networks of persons with abilities in radioprotection and other actors in radioprotection. Audit report; Les reseaux loco-regionaux de personnes competentes en radioprotection et autres acteurs de la radioprotection. Rapport d'audit

    Energy Technology Data Exchange (ETDEWEB)

    Lefaure, Ch.

    2009-03-15

    As the regulation requires the existence of persons with abilities in radioprotection (PCR, personnes competentes en radioprotection) in many industrial, medical or research activities where ionizing radiations are present, in order to improve worker protection, these professionals who are much less acknowledged in these sectors than in the nuclear sector, felt the need to gather in regional and sector-based networks. This report proposes a presentation of three existing networks (the APCRAP, the Grand-Ouest network, and the Aquitaine-Sud-Ouest network). For each of them, the report addresses the following aspects: creation, objectives, statutes, members, activities, human, technical and financial resources, role. Then answers to a survey and to interviews are analyzed with respect to the professional sector and to the region, in terms of expectations towards the networks, and in terms of network operation and services. Interviews of institutional actors and union and management representatives are also analysed

  14. Changing values and the impact on land use and social networks in the northern forest region: a qualitative examination

    Science.gov (United States)

    Jean Dedam; Rodney Zwick

    2007-01-01

    Patterns of land ownership and economics are changing in the Northern Forest Region of New York, Vermont, New Hampshire, and Maine. The percentage of people living in the region who work in the resource extraction industry has become much smaller. Tourism and outdoor recreation are promoted as economic substitutes that will provide an alternate use of the natural...

  15. Transforming Your Regional Economy through Uncertainty and Surprise: Learning from Complexity Science, Network Theory and the Field

    Science.gov (United States)

    Holley, June

    The field of regional development blossomed in the last decade, as researchers and practitioners increasingly asserted that the region was the most effective geographic unit for supporting the excellence and innovation of entrepreneurs. See, for example, the many studies by the European Union and the work by Michael Porter.

  16. Development highlights of micro-nano technologies in the MENA region and pathways for initiatives to support and network

    NARCIS (Netherlands)

    Al-Rawashdeh, M.I.M.; Alfeeli, B.; Rawashdeh, A.M.; Hessel, V.

    2013-01-01

    Current developments in the field of micro-nano technologies in the Middle East and North Africa (MENA) region are highlighted. Firstly, the scientific outcome of micro-nano technologies from the MENA region is analyzed. Egypt and Saudi Arabia are the leading countries, with >50% of the total MENA

  17. Environmental change and hydrological responses in the interior of western Canada: Towards improved understanding, diagnosis, and prediction by the Changing Cold Regions Network

    Science.gov (United States)

    DeBeer, C. M.; Wheater, H. S.; Carey, S. K.; Pomeroy, J. W.; Stewart, R. E.

    2016-12-01

    The past several decades have been a period of rapid climatic and environmental change. In western Canada, as in other areas globally, warming and changes in precipitation have led to vast reductions in seasonal snowcover and freshwater ice cover, retreating glaciers, thawing permafrost, changing forest composition and structure, increasing northern shrub coverage, and earlier timing of river flows in spring. Yet streamflow volume has exhibited a variety of responses across the region and over different time scales, and patterns of change are not easily generalizable. Improved understanding, diagnosis, and prediction of the rapidly changing components of the Earth system are key to managing uncertain water futures, but this is challenging due to complex system behavior and sometimes compensatory responses. The Changing Cold Regions Network (CCRN) is a Canadian research network and GEWEX Regional Hydroclimate Project that is addressing these issues, with a geographic focus on the Saskatchewan and Mackenzie River basins. This paper will present examples of the changes that have been observed at a set of long-term and well-studied headwater research basins, and highlight how various processes confound hydrological responses here, pointing to the need for careful diagnosis. We will discuss some recent CCRN activities and progress toward improving conceptual understanding and developing scenarios of change for the 21st century, which can then be applied within process-based hydrological models for future prediction. Several priority research areas that will be a focus of continued work in CCRN will be recommended.

  18. Neural network approach to the prediction of seismic events based on low-frequency signal monitoring of the Kuril-Kamchatka and Japanese regions

    Directory of Open Access Journals (Sweden)

    Irina Popova

    2013-08-01

    Full Text Available Very-low-frequency/ low-frequency (VLF/LF sub-ionospheric radiowave monitoring has been widely used in recent years to analyze earthquake preparatory processes. The connection between earthquakes with M ≥5.5 and nighttime disturbances of signal amplitude and phase has been established. Thus, it is possible to use nighttime anomalies of VLF/LF signals as earthquake precursors. Here, we propose a method for estimation of the VLF/LF signal sensitivity to seismic processes using a neural network approach. We apply the error back-propagation technique based on a three-level perceptron to predict a seismic event. The back-propagation technique involves two main stages to solve the problem; namely, network training, and recognition (the prediction itself. To train a neural network, we first create a so-called ‘training set’. The ‘teacher’ specifies the correspondence between the chosen input and the output data. In the present case, a representative database includes both the LF data received over three years of monitoring at the station in Petropavlovsk-Kamchatsky (2005-2007, and the seismicity parameters of the Kuril-Kamchatka and Japanese regions. At the first stage, the neural network established the relationship between the characteristic features of the LF signal (the mean and dispersion of a phase and an amplitude at nighttime for a few days before a seismic event and the corresponding level of correlation with a seismic event, or the absence of a seismic event. For the second stage, the trained neural network was applied to predict seismic events from the LF data using twelve time intervals in 2004, 2005, 2006 and 2007. The results of the prediction are discussed.

  19. CEE Energy Efficiency Report - Slovakia

    International Nuclear Information System (INIS)

    Hecl, V.

    2005-01-01

    A review of future trends of energy consumption shows that, in the absence of an active energy policy which promotes energy efficiency, energy consumption will increase as a whole by approximately 6.8% by 2012 continuing to raise after this period.. This result hides large differences between the different sources of energy (mainly heat, fuels and electricity) and between the different sectors - transport, industry, buildings etc. It is therefore clear that a strong energy policy is needed to counterbalance the expected increase in energy consumption in all sectors, with emphasis on measures in the building sector (both residential and tertiary) and in the transport sector. Furthermore improvements in the district heating sector are also essential to prevent further disconnection from district heating and a shift to other means of heating. A review of the main barriers to energy efficiency leads to the conclusion that while significant changes are needed in the regulatory framework, the lack of access to finance and the general lack of awareness about existing technologies and best practice represent the greatest barriers. In order to evaluate the success of energy. In a few studies available from past 2-3 years the calculation of low and high targets for energy policy was elaborated. The low targets would represent about 11% - 12% reduction in overall energy consumption. The high targets would represent a 13% - 15% reduction in overall energy consumption. Policy instruments have been identified which can turn energy efficiency into one of the driving forces of the overall economic and development strategy of the country. Some of these instruments deal with general issues such as general policy issues, regulatory and legal aspects, the institutional framework and fiscal, taxation and pricing policy. They are designed to improve the present conditions and would use only a limited part of the available public budget. The state budget dedicated to energy issues will need to be increased significantly if the proposed targets are to be realised. This increase in budget allocation would enable the implementation of programmes to significantly reduce energy imports and therefore lead to an improvement in the balance of payments. The adoption of these instruments will be beneficial for the entire economy. The most obvious impact is related to the level of energy imports, and therefore the balance of payments. The reduction in energy imports is estimated between 8% (low targets) and 12% (high targets) for natural gas, and between 8% (low targets) and 14% (high targets) for petroleum products. Furthermore it is estimated that the implementation of the proposed energy efficiency could create approximately 10,000 new jobs. The annual reduction in CO2 emissions has been estimated between 9 million tonnes (low targets) and 16 million tonnes (high targets)

  20. Web page of the Ibero-American laboratories network of radioactivity analysis in foods: a tool for inter regional diffusion

    International Nuclear Information System (INIS)

    Melo Ferreira, Ana C. de; Osores, Jose M.; Fernandez Gomez, Isis M.; Iglicki, Flora A.; Vazquez Bolanos, Luis R.; Romero, Maria de L.; Aguirre Gomez, Jaime; Flores, Yasmine

    2008-01-01

    One objective of the thematic networks is the exchanges of knowledge among participants, for this reason, actions focused to the diffusion of their respective work are prioritized, evidencing the result of the cooperation among the participant groups and also among different networks. The Ibero-American Laboratories Network of Radioactivity Analysis in Foods (RILARA) was constituted in 2007, and one of the first actions carried out in this framework, was the design and conformation of a web page. The web pages have become a powerful means for diffusion of specialized information. Their power, as well as their continuous upgrading and the specificity of the topics that can develop, allow the user to obtain fast information on a wide range of products, services and organizations at local and world level. The main objective of the RILARA web page is to provide updated relevant information to interested specialists in the subject and also to public in general, about the work developed by the network laboratories regarding the control of radioactive pollutants in foods and related scientific issues. This web has been developed based on a Content Management Systems that helps to eliminate potential barriers to the communication web, reducing the creation costs, contribution and maintenance of the content. The tool used for its design is very effective to be used in the process of teaching, learning and for the organization of the information. This paper describes how was conceived the design of this web page, the information that contains and how can be accessed and/or to include any contribution, the value of this page depends directly on the grade of updating of the available contents so that it can be useful and attractive to the users. (author)

  1. LARGE-scale forest fuel supply solution trough a regional terminal network; Terminaalitoimintoihin perustuvan metsaepolttoaineen hankintalogistiikkajaerjestelmaen kehittaeminen

    Energy Technology Data Exchange (ETDEWEB)

    Leppaenen, T. [Etelae-Savon Energia Oy, Mikkeli (Finland)

    2006-12-19

    The aim of the study is to develop logistic systems for supply of forest fuel where a terminal is part of the supply chain. Operations in the terminal, supply chains of the forest fuel and joining them to the terminal network are testing and following p. Also operation and business models are under analyzing. Costs, cost factors, benefits and space requirement of the terminal and cost-effectiveness of the entrepreneurship of the terminal are carried out. (orig.)

  2. An Improved Neural Network for Regional Giant Panda Habitat Suitability Mapping: A Case Study in Ya’an Prefecture

    Directory of Open Access Journals (Sweden)

    Jingwei Song

    2014-06-01

    Full Text Available Expert knowledge is a combination of prior information and subjective opinions based on long-experience; as such it is often not sufficiently objective to produce convincing results in animal habitat suitability index mapping. In this study, an animal habitat assessment method based on a learning neural network is proposed to reduce the level of subjectivity in animal habitat assessments. Based on two hypotheses, this method substitutes habitat suitability index with apparent density and has advantages over conventional ones such as those based on analytical hierarchy process or multivariate regression approaches. Besides, this method is integrated with a learning neural network and is suitable for building non-linear transferring functions to fit complex relationships between multiple factors influencing habitat suitability. Once the neural network is properly trained, new earth observation data can be integrated for rapid habitat suitability monitoring which could save time and resources needed for traditional data collecting approaches through extensive field surveys. Giant panda (Ailuropoda melanoleuca natural habitat in Ya’an prefecture and corresponding landsat images, DEM and ground observations are tested for validity of using the methodology reported. Results show that the method scores well in key efficiency and performance indicators and could be extended for habitat assessments, particularly of other large, rare and widely distributed animal species.

  3. Groundwater Discharge of Legacy Nitrogen to River Networks: Linking Regional Groundwater Models to Streambed Groundwater-Surface Water Exchange and Nitrogen Processing

    Science.gov (United States)

    Barclay, J. R.; Helton, A. M.; Briggs, M. A.; Starn, J. J.; Hunt, A.

    2017-12-01

    Despite years of management, excess nitrogen (N) is a pervasive problem in many aquatic ecosystems. More than half of surface water in the United States is derived from groundwater, and widespread N contamination in aquifers from decades of watershed N inputs suggest legacy N discharging from groundwater may contribute to contemporary N pollution problems in surface waters. Legacy N loads to streams and rivers are controlled by both regional scale flow paths and fine-scale processes that drive N transformations, such as groundwater-surface water exchange across steep redox gradients that occur at stream bed interfaces. Adequately incorporating these disparate scales is a challenge, but it is essential to understanding legacy N transport and making informed management decisions. We developed a regional groundwater flow model for the Farmington River, a HUC-8 basin that drains to the Long Island Sound, a coastal estuary that suffers from elevated N loads despite decades of management, to understand broad patterns of regional transport. To evaluate and refine the regional model, we used thermal infrared imagery paired with vertical temperature profiling to estimate groundwater discharge at the streambed interface. We also analyzed discharging groundwater for multiple N species to quantify fine scale patterns of N loading and transformation via denitrification at the streambed interface. Integrating regional and local estimates of groundwater discharge of legacy N to river networks should improve our ability to predict spatiotemporal patterns of legacy N loading to and transformation within surface waters.

  4. Region-specific RNA m6A methylation represents a new layer of control in the gene regulatory network in the mouse brain.

    Science.gov (United States)

    Chang, Mengqi; Lv, Hongyi; Zhang, Weilong; Ma, Chunhui; He, Xue; Zhao, Shunli; Zhang, Zhi-Wei; Zeng, Yi-Xin; Song, Shuhui; Niu, Yamei; Tong, Wei-Min

    2017-09-01

    N 6 -methyladenosine (m 6 A) is the most abundant epitranscriptomic mark found on mRNA and has important roles in various physiological processes. Despite the relatively high m 6 A levels in the brain, its potential functions in the brain remain largely unexplored. We performed a transcriptome-wide methylation analysis using the mouse brain to depict its region-specific methylation profile. RNA methylation levels in mouse cerebellum are generally higher than those in the cerebral cortex. Heterogeneity of RNA methylation exists across different brain regions and different types of neural cells including the mRNAs to be methylated, their methylation levels and methylation site selection. Common and region-specific methylation have different preferences for methylation site selection and thereby different impacts on their biological functions. In addition, high methylation levels of fragile X mental retardation protein (FMRP) target mRNAs suggest that m 6 A methylation is likely to be used for selective recognition of target mRNAs by FMRP in the synapse. Overall, we provide a region-specific map of RNA m 6 A methylation and characterize the distinct features of specific and common methylation in mouse cerebellum and cerebral cortex. Our results imply that RNA m 6 A methylation is a newly identified element in the region-specific gene regulatory network in the mouse brain. © 2017 The Authors.

  5. A Stratified Route Network in a Stratified Landscape. The Region of Enna (Central Sicily from the Bronze Age to the 19 th c. AD.

    Directory of Open Access Journals (Sweden)

    Citter Carlo

    2017-10-01

    Full Text Available This paper focuses on the region of Enna in central Sicily. Its peculiar environmental setting is a key feature, with a central mountain surrounded by gentle, fertile lowlands. Our key question is to understand the regional route network in its historical process of “transformission”, a concept proposed by French archaeogeographers (see Chouquer, Watteaux 2013. It considers traces on the landscape at different scales, as ever-changing features influenced by both natural and human inputs. We chose a sample area of 566 sq-km in the very centre of the island and we evaluated geographical constraints on mobility. This raises new questions about the relationship between routes, settlements, and the environment.

  6. Interaction networks and the use of floral resources by male orchid bees (Hymenoptera: Apidae: Euglossini in a primary rain forests of the Chocó Region (Colombia

    Directory of Open Access Journals (Sweden)

    Rodulfo Ospina-Torres

    2015-09-01

    Full Text Available Orchid bees are important keystone pollinators from the Neotropics. With the aim to study the relationships between orchid bees and their nectar and aromatic host species, we made systematic samplings of males across two conservation areas in the biogeographic Chocó Region of Colombia. We used chemical baits to collect 352 male bees during five months. The pollen attached to their bodies was extracted for palynological identification and to estimate interaction networks. The euglossine community consisted of at least 22 species including Eg. maculilabris, Eg. orellana, Eg. championiand Eg. ignita.The male bees were associated with 84 plants but depended on a small group of them (Peperomiaspp. and Anthuriumspp, as well as species of Solanaceae, Ericaceae and Malpighiaceae which were widely distributed across the altitudinal gradient, and were available through the year. The resulting interaction networks revealed a typical nested pattern usually found in plant-pollinator interactions, with several rare bee and plant species interaction with a small group of generalist bees and plant species. Albeit, we found variation within networks related to species composition. Such variation may be a consequence of specific differences in plant flowering phenology.

  7. Interaction networks and the use of floral resources by male orchid bees (Hymenoptera: Apidae: Euglossini) in a primary rain forests of the Chocó Region (Colombia).

    Science.gov (United States)

    Ospina-Torres, Rodulfo; Montoya-Pfeiffer, Paula María; Parra-H, Alejandro; Solarte, Victor; Tupac Otero, Joel

    2015-09-01

    Orchid bees are important keystone pollinators from the Neotropics. With the aim to study the relationships between orchid bees and their nectar and aromatic host species, we made systematic samplings of males across two conservation areas in the biogeographic Choc6 Region of Colombia. We used chemical baits to collect 352 male bees during five months. The pollen attached to their bodies was extracted for palynological identification and to estimate interaction networks. The euglossine community consisted of at least 22 species including Eg. maculilabris, Eg. orellana, Eg. championi and Eg. ignita. The male bees were associated with 84 plants but depended on a small group of them (Peperomia spp. and Anthurium spp, as well as species of Solanaceae, Ericaceae and Malpighiaceae) which were widely distributed across the altitudinal gradient, and were available through the year. The resulting interaction networks revealed a typical nested pattern usually found in plant-pollinator interactions, with several rare bee and plant species interaction with a small group of generalist bees and plant species. Albeit, we found variation within networks related to species composition. Such variation may be a consequence of specific differences in plant flowering phenology.

  8. An Agent-based Manufacturing Management System for Production and Logistics within Cross-Company Regional and National Production Networks

    Directory of Open Access Journals (Sweden)

    T. Hanel

    2008-11-01

    Full Text Available The goal is the development of a simultaneous, dynamic, technological as well as logistical real-time planning and an organizational control of the production by the production units themselves, working in the production network under the use of Multi-Agent-Technology. The design of the multi-agent-based manufacturing management system, the models of the single agents, algorithms for the agent-based, decentralized dispatching of orders, strategies and data management concepts as well as their integration into the SCM, basing on the solution described, will be explained in the following.

  9. An Agent-Based Manufacturing Management System for Production and Logistics within Cross-Company Regional and National Production Networks

    Directory of Open Access Journals (Sweden)

    S. Heinrich

    2005-03-01

    Full Text Available The goal is the development of a simultaneous, dynamic, technological as well as logistical real-time planning and an organizational control of the production by the production units themselves, working in the production network under the use of Multi-Agent-Technology. The design of the multi-agent-based manufacturing management system, the models of the single agents, algorithms for the agent-based, decentralized dispatching of orders, strategies and data management concepts as well as their integration into the SCM, basing on the solution described, will be explained in the following.

  10. Cardiac Myocyte Diversity and a Fibroblast Network in the Junctional Region of the Zebrafish Heart Revealed by Transmission and Serial Block-Face Scanning Electron Microscopy

    KAUST Repository

    Lafontant, Pascal J.

    2013-08-23

    The zebrafish has emerged as an important model of heart development and regeneration. While the structural characteristics of the developing and adult zebrafish ventricle have been previously studied, little attention has been paid to the nature of the interface between the compact and spongy myocardium. Here we describe how these two distinct layers are structurally and functionally integrated. We demonstrate by transmission electron microscopy that this interface is complex and composed primarily of a junctional region occupied by collagen, as well as a population of fibroblasts that form a highly complex network. We also describe a continuum of uniquely flattened transitional cardiac myocytes that form a circumferential plate upon which the radially-oriented luminal trabeculae are anchored. In addition, we have uncovered within the transitional ring a subpopulation of markedly electron dense cardiac myocytes. At discrete intervals the transitional cardiac myocytes form contact bridges across the junctional space that are stabilized through localized desmosomes and fascia adherentes junctions with adjacent compact cardiac myocytes. Finally using serial block-face scanning electron microscopy, segmentation and volume reconstruction, we confirm the three-dimensional nature of the junctional region as well as the presence of the sheet-like fibroblast network. These ultrastructural studies demonstrate the previously unrecognized complexity with which the compact and spongy layers are structurally integrated, and provide a new basis for understanding development and regeneration in the zebrafish heart. © 2013 Lafontant et al.

  11. Cardiac myocyte diversity and a fibroblast network in the junctional region of the zebrafish heart revealed by transmission and serial block-face scanning electron microscopy.

    Science.gov (United States)

    Lafontant, Pascal J; Behzad, Ali R; Brown, Evelyn; Landry, Paul; Hu, Norman; Burns, Alan R

    2013-01-01

    The zebrafish has emerged as an important model of heart development and regeneration. While the structural characteristics of the developing and adult zebrafish ventricle have been previously studied, little attention has been paid to the nature of the interface between the compact and spongy myocardium. Here we describe how these two distinct layers are structurally and functionally integrated. We demonstrate by transmission electron microscopy that this interface is complex and composed primarily of a junctional region occupied by collagen, as well as a population of fibroblasts that form a highly complex network. We also describe a continuum of uniquely flattened transitional cardiac myocytes that form a circumferential plate upon which the radially-oriented luminal trabeculae are anchored. In addition, we have uncovered within the transitional ring a subpopulation of markedly electron dense cardiac myocytes. At discrete intervals the transitional cardiac myocytes form contact bridges across the junctional space that are stabilized through localized desmosomes and fascia adherentes junctions with adjacent compact cardiac myocytes. Finally using serial block-face scanning electron microscopy, segmentation and volume reconstruction, we confirm the three-dimensional nature of the junctional region as well as the presence of the sheet-like fibroblast network. These ultrastructural studies demonstrate the previously unrecognized complexity with which the compact and spongy layers are structurally integrated, and provide a new basis for understanding development and regeneration in the zebrafish heart.

  12. Mapping the brain's orchestration during speech comprehension: task-specific facilitation of regional synchrony in neural networks

    Directory of Open Access Journals (Sweden)

    Keil Andreas

    2004-10-01

    Full Text Available Abstract Background How does the brain convert sounds and phonemes into comprehensible speech? In the present magnetoencephalographic study we examined the hypothesis that the coherence of electromagnetic oscillatory activity within and across brain areas indicates neurophysiological processes linked to speech comprehension. Results Amplitude-modulated (sinusoidal 41.5 Hz auditory verbal and nonverbal stimuli served to drive steady-state oscillations in neural networks involved in speech comprehension. Stimuli were presented to 12 subjects in the following conditions (a an incomprehensible string of words, (b the same string of words after being introduced as a comprehensible sentence by proper articulation, and (c nonverbal stimulations that included a 600-Hz tone, a scale, and a melody. Coherence, defined as correlated activation of magnetic steady state fields across brain areas and measured as simultaneous activation of current dipoles in source space (Minimum-Norm-Estimates, increased within left- temporal-posterior areas when the sound string was perceived as a comprehensible sentence. Intra-hemispheric coherence was larger within the left than the right hemisphere for the sentence (condition (b relative to all other conditions, and tended to be larger within the right than the left hemisphere for nonverbal stimuli (condition (c, tone and melody relative to the other conditions, leading to a more pronounced hemispheric asymmetry for nonverbal than verbal material. Conclusions We conclude that coherent neuronal network activity may index encoding of verbal information on the sentence level and can be used as a tool to investigate auditory speech comprehension.

  13. Orbit and clock determination of BDS regional navigation satellite system based on IGS M-GEX and WHU BETS tracking network

    Science.gov (United States)

    GENG, T.; Zhao, Q.; Shi, C.; Shum, C.; Guo, J.; Su, X.

    2013-12-01

    BeiDou Navigation Satellite System (BDS) began to provide the regional open service on December 27th 2012 and will provide the global open service by the end of 2020. Compared to GPS, the space segment of BDS Regional System consists of 5 Geostationary Earth Orbit satellites (GEO), 5 Inclined Geosynchronous Orbit satellites (IGSO) and 4 Medium Earth orbit (MEO) satellites. Since 2011, IGS Multiple-GNSS Experiment (M-GEX) focuses on tracking the newly available GNSS signals. This includes all signals from the modernized satellites of the GPS and GLONASS systems, as well as signals of the BDS, Galileo and QZSS systems. Up to now, BDS satellites are tracked by around 25 stations with a variety of different antennas and receivers from different GNSS manufacture communities in M-GEX network. Meanwhile, there are 17 stations with Unicore Communications Incorporation's GPS/BDS receivers in BeiDou Experimental Tracking Stations (BETS) network by Wuhan University. In addition, 5 BDS satellites have been tracking by the International Laser Ranging Service (ILRS). BDS performance is expected to be further studied by the GNSS communities. Following an introduction of the BDS system and above different tracking network, this paper discusses the achieved BDS characterization and performance assessment. Firstly, the BDS signal and measurement quality are analyzed with different antennas and receivers in detail compared to GPS. This includes depth of coverage for satellite observation, carrier-to-noise-density ratios, code noise and multipath, carrier phase errors. Secondly, BDS Precise Orbit Determination (POD) is processed. Different arc lengths and sets of orbit parameters are tested using Position And Navigation Data Analysis software (PANDA) which is developed at the Wuhan University. GEO, IGSO and MEO satellites orbit quality will be assessed using overlap comparison, 2-day orbit fit and external validations with Satellite Laser Range (SLR). Then BDS satellites are equipped

  14. Estimating the contribution from different ionospheric regions to the TEC response to the solar flares using data from the international GPS network

    Directory of Open Access Journals (Sweden)

    L. A. Leonovich

    Full Text Available This paper proposes a new method for estimating the contrib