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

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.

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...

MEDIA MARKET OVERVIEW IN CEE COUNTRIES

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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.

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)

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.

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.)

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.)

INSTITUTIONAL TRANSFORMATION IN COUNTRIES OF CEE: EXPERIENCE FOR UKRAINE

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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.

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

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

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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.

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

Improving nutrition surveillance and public health research in Central and Eastern Europe/Balkan Countries using the Balkan Food Platform and dietary tools.

Science.gov (United States)

Gurinović, Mirjana; Milešević, Jelena; Novaković, Romana; Kadvan, Agnes; Djekić-Ivanković, Marija; Šatalić, Zvonimir; Korošec, Mojca; Spiroski, Igor; Ranić, Marija; Dupouy, Eleonora; Oshaug, Arne; Finglas, Paul; Glibetić, Maria

2016-02-15

The objective of this paper is to share experience and provide updated information on Capacity Development in the Central and Eastern Europe/Balkan Countries (CEE/BC) region relevant to public health nutrition, particularly in creation of food composition databases (FCDBs), applying dietary intake assessment and monitoring tools, and harmonizing methodology for nutrition surveillance. Balkan Food Platform was established by a Memorandum of Understanding among EuroFIR AISBL, Institute for Medical Research, Belgrade, Capacity Development Network in Nutrition in CEE - CAPNUTRA and institutions from nine countries in the region. Inventory on FCDB status identified lack of harmonized and standardized research tools. To strengthen harmonization in CEE/BC in line with European research trends, the Network members collaborated in development of a Regional FCDB, using web-based food composition data base management software following EuroFIR standards. Comprehensive nutrition assessment and planning tool - DIET ASSESS & PLAN could enable synchronization of nutrition surveillance across countries. Copyright © 2015 Elsevier Ltd. All rights reserved.

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...

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

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

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,…

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.

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.

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

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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.

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

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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.

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

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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.

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

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

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...

Romania, Strategic Partner in China-CEE Relations

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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.

FEATURES OF THE PUBLIC SPENDING BY FUNCTION IN CEE COUNTRIES -

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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

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

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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.

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.

MONETARY SHOCKS AND REAL EXCHANGE RATE FLUCTUATIONS IN CEE COUNTRIES

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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.

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

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.

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.

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.

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 ...

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.

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

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

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.

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.

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

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...

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.

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...

[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.

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

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.

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

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.

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).

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.

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)

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

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

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 ...

Conservation Motivation, Social Equality and Left-Right Ideological Preferences in Western and Eastern Europe.

Science.gov (United States)

Hadarics, Márton

2017-05-01

We investigated how attitudes towards social equality can influence the relationship between conservation motivation (or openness) and personal ideological preferences on the left-right dimension, and how this relationship pattern differs between Western and Central & Eastern European (CEE) respondents. Using data from the European Social Survey (2012) we found that individual-level of conservation motivation reduces cultural egalitarianism in both the Western European and the CEE regions, but its connection with economic egalitarianism is only relevant in the CEE region where it fosters economic egalitarianism. Since both forms of egalitarianism were related to leftist ideological preferences in Western Europe, but in the CEE region only economic egalitarianism was ideologically relevant, we concluded that the classic "rigidity of the right" phenomenon is strongly related to cultural (anti)egalitarianism in Western Europe. At the same time, conservation motivation serves as a basis for the "rigidity of the left" in the post-socialist CEE region, in a great part due to the conventional egalitarian economic views.

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.

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...

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.

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...

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

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.

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.

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.

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...

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.

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...

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.

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

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...

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.

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

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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.

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

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

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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.

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...

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

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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.

[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

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

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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

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.

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)

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

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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.

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

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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

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.

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.

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.

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.

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

Regional Innovation Strategies in the Czech Republic

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Hájek Oldřich

2011-06-01

Full Text Available Lately, the concept of innovation has become a development mantra in the fierce global competition. Competition is not limited to firms; it is also relevant for territories. An observed trend which is not surprising is the number of support tools that have been developed to reinforce the position of territories and their actors in the innovation processes. Clusters and regional innovation systems are the most important of them. However, both are rather underdeveloped in the CEE countries, including the Czech Republic. Faced with this situation, a number of Czech regional authorities (Regions took measures to stimulate the process of creating cluster and regional innovation system (RISs. Hence, strategic planning in the form of regional innovation strategies has become an overarching concept. So far, eleven Czech Regions have elaborated on RISs and analysis of these documents was the main focus of this article. The main finding of this paper is that, there is an increasing quality of RISs in the Czech Republic. Moreover, some common and some differentiated features of RISs were also identified. Consequently, the paper emphasizes numerous problems of RISs that is perceived as a key barrier towards real regional innovation system.

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

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.

Central and East European migrant men who have sex with men in London: a comparison of recruitment methods

Directory of Open Access Journals (Sweden)

Gerry Christopher J

2011-05-01

Full Text Available Abstract Background Following the expansion of the European Union, there has been a large influx of Central and East European (CEE migrants to the UK. CEE men who have sex with men (MSM represent a small minority within this population that are none-the-less important to capture in sexual health research among the CEE migrant community. This paper examines the feasibility of recruiting CEE MSM for a survey of sexual behaviour in London using respondent driven sampling (RDS, via gay websites and in GUM clinics. Methods We sought CEE MSM to start RDS chain referral among GUM clinic attendees, our personal contacts and at gay events and venues in central London. We recruited CEE MSM (n = 485 via two popular websites for gay men in Britain (March-May 2009 and at two central London GUM clinics (n = 51 (July 2008-March 2009. Results We found seventeen men who knew other CEE MSM in London and agreed to recruit contacts into the study. These men recruited only three men into the study, none of whom recruited any further respondents, and RDS was abandoned after 7 months (July 2008-January 2009. Half of the men that we approached to participate in RDS did not know any other CEE MSM in London. Men who agreed to recruit contacts for RDS were rather more likely to have been in the UK for more than one year (94.1% vs 70.0%, p = 0.052. Men recruited through gay websites and from GUM clinics were similar. Conclusions The Internet was the most successful method for collecting data on sexual risk behaviour among CEE MSM in London. CEE MSM in London were not well networked. RDS may also have failed because they did not fully understand the procedure and/or the financial incentive was not sufficient motivation to take part.

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.

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

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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.

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.

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

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

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.

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.

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...

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.

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

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)

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.

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.

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.

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)

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

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

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.

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.

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.

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.

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.

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...

FDI and Economic Growth in Central and Eastern Europe

Directory of Open Access Journals (Sweden)

Gheorghe H. Popescu

2014-11-01

Full Text Available This paper discusses the major trends in scholarship about the role of FDI and exports on economic growth, the effect of tax policies on FDI, the formation of the economic catch up of the Central and Eastern Europe (CEE region and the determinants of FDI inflows in CEE nations. I am specifically interested in how previous research investigated the influence of FDI on host country economic growth, the inward FDI stock as a percentage of GDP, the features and restrictions of fiscal schemes in CEE economies and the institutional soundness displayed in policies towards FDI. The analysis presented in this paper contributes to research on FDI as a mechanism in the transition to the market, the dissimilarities in the FDI-assisted development methods among the CEE nations, the impact of FDI inflows for productivity convergence in CEE and the current slowing of growth in emerging Europe.

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.

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.

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....

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)…

Pricing and reimbursement frameworks in Central Eastern Europe: a decision tool to support choices.

Science.gov (United States)

Kolasa, Katarzyna; Kalo, Zoltan; Hornby, Edward

2015-02-01

Given limited financial resources in the Central Eastern European (CEE) region, challenges in obtaining access to innovative medical technologies are formidable. The objective of this research was to develop a decision tree that supports decision makers and drug manufacturers from CEE region in their search for optimal innovative pricing and reimbursement scheme (IPRSs). A systematic literature review was performed to search for published IPRSs, and then ten experts from the CEE region were interviewed to ascertain their opinions on these schemes. In total, 33 articles representing 46 unique IPRSs were analyzed. Based on our literature review and subsequent expert input, key decision nodes and branches of the decision tree were developed. The results indicate that outcome-based schemes are better suited to deal with uncertainties surrounding cost effectiveness, while non-outcome-based schemes are more appropriate for pricing and budget impact challenges.

Foreign Direct Investment in Central and Eastern Europe

DEFF Research Database (Denmark)

Marinov, Marin Alexandrov; Marinova, Svetla Trifonova

facilities there. These processes result in intensive penetration of companies through foreign direct investment into the CEE region. Simultaneously, the foreign investing companies face the specific context of a region that poses new requirements to their investment strategies, approaches and practices....... Covering a diverse range of CEE countries, as well as referring to the characteristics of the region as a whole, this book examines the inflow and outflow of foreign direct investment from both home and host company and country perspectives. By analyzing foreign direct investment in terms of process......, content and context, the book provides a holist approach towards foreign direct investment in the transitional context of CEE. The book includes a comprehensive study of the motives of multi-national companies for investing in Central and Eastern Europe through various investment modes and the degree...

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.

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

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.

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

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.

High-Speed Rail for Central and Eastern European Countries: A Conference Report

Directory of Open Access Journals (Sweden)

Jandová Monika

2016-09-01

Full Text Available The European transport strategy promotes the role of railways and expects that the key role in passenger transport should be played by high-speed rail (HSR. Although the core network of high-speed lines has already been built and is operating in Western Europe, there has been little coverage so far in Central and Eastern Europe (CEE. The aim of the conference “High-Speed Rail for CEE Countries” that took place in Prague in June 2016 was to put together academics, policy-makers, and practitioners interested in HSR and to formulate recommendations for CEE countries based on West European countries’ experience. Based on the conference presentations and subsequent discussion, the following conclusions were formulated. Firstly, there are many crucial differences in national HSR build-up and operation, which means that former experience of Western Europe is not directly applicable to CEE countries. Secondly, in comparing presentations discussing experiences in France, Britain, Italy, and Germany, it was concluded that the German approach-upgrading existing lines where possible and only building new lines for bottleneck sections-was the most likely appropriate solution in CEE. Lastly, CEE has the additional problem of many border crossings, with a reduction of traffic in comparison with purely domestic routes, and this effect has to be taken into account.

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.

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...

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.

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.

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.

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.

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

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.

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

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

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.

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.

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.

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.

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.

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

[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.

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

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.

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...

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…

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

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 ...

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

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.

SOVEREIGN WEALTH FUNDS IN CENTRAL AND EASTERN EUROPE: SCOPE AND METHODS OF FINANCIAL PENETRATION

Directory of Open Access Journals (Sweden)

Piotr Wiśniewski

2015-08-01

Full Text Available The Central and Eastern European (CEE capital markets (of Poland, Lithuania, Latvia, Estonia, the Czech Republic, Slovakia, Hungary, Ukraine and, to a limited extent, Belarus are gradually evolving towards increased breadth (diversity and depth (liquidity, however, they are still exposed to considerable cross-country volatility and interdependence spill-overs – especially in times of capital flight to more established asset classes (“safe havens”. Sovereign Wealth Funds (SWFs have widely been censured for their undesirable political interference and chronic operational opacity. This paper demonstrates that in CEE, contrary to widespread perceptions attributable to developed markets, SWFs can act as natural and powerful risk mitigators (contributing to a more stable capital base and reduced systemic volatility. Such a proposition is premised on several factors specific to SWFs oriented to CEE. They comprise: strategic long-termism and patience in overcoming interim pricing deficiencies, commitments to elements of a broadly interpreted infrastructure, and absence of overt conflicts of interest with the CEE host economies. The paper, besides reviewing the utilitarianism of SWFs in the CEE’s risk mitigation context, highlights regulatory and technical barriers to more SWF funding for CEE. It also recommends policy measures to the CEE economies aimed at luring more host-friendly SWF investment into the region.

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

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...

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.

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 ...

EU cash in climate clash. How the EU funding plans are shaping up to fuel climate change. Comparative analysis of the 2007-2013 structural funding allocations for energy and transport in the new member states

International Nuclear Information System (INIS)

Koneeny, M.

2007-04-01

Between 2007 and 2013 the European Union will invest 177 billion euros in the ten central and eastern European member states via its Structural and Cohesion Funds. CEE Bankwatch Network and Friends of the Earth Europe have analysed the draft plans for the use of the funds which are the subject of current negotiations between the European Commission and the member states. Our analysis shows that there is only little funding for energy efficiency and renewable energy despite the enormous potentials in the CEE countries. In the transport sector, the majority of the funds is to be spent on roads and motorways. Public transport, which emits three times less carbon dioxide than cars but has suffered from chronic under-investment, is to receive only weak and inconsistent support. Unless these funding plans are significantly changed in the current negotiations, EU funding is on course to deliver increased greenhouse gas emissions. CEE Bankwatch Network and Friends of the Earth Europe call on decision-makers to prevent seven more years and billions of euros being lost to energy-intensive development. EU action on climate change now and in the future must not be undermined

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.

Cancer Control in Central and Eastern Europe: Current Situation and Recommendations for Improvement.

Science.gov (United States)

Vrdoljak, Eduard; Bodoky, Gyorgy; Jassem, Jacek; Popescu, Razvan A; Mardiak, Jozef; Pirker, Robert; Čufer, Tanja; Bešlija, Semir; Eniu, Alexandru; Todorović, Vladimir; Kubáčková, Kateřina; Kurteva, Galia; Tomašević, Zorica; Sallaku, Agim; Smichkoska, Snezhana; Bajić, Žarko; Šikić, Branimir I

2016-10-01

. While the incidence of many cancer types is higher in Western European (WE) countries, the mortality is generally higher in Central and Eastern Europe (CEE). The primary purpose of this review was to describe the current status and trends of oncology care in the CEE region, to raise awareness among physicians, regulators, and payers, and to propose the most needed changes in order to make the oncology care in CEE closer to the WE standards. ©AlphaMed Press.

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

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.

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

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.

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.

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

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

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...

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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-...

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.

Implementation of CLP4NET in Bulgaria

International Nuclear Information System (INIS)

Naydenova, I.; Pironkov, L.; Filipov, A.; Petrova, T.; Tsochev, G.; Ganev, I.

2016-01-01

Full text: Networking solutions (networks of excellence, communities of practice, knowledge portals, etc.) are recognized as effective tools for nuclear training and education services, transfer of good practices, knowledge and programmes, and knowledge management. In addition, the e-learning is recommended as a state of the art and cost effective approach for supplementing the traditional face to face training and education programmes. Thus, the Cyber Learning Platform for Nuclear Education and Training (CLP4NET) was implemented into the Kozloduy Nuclear Power Plant (KNPP) Training System. Based on the experience of KNPP, the CLP4NET was implemented also at the College of Energy and Electronics (CEE), Technical University of Sofia (TU-Sofia), providing an appropriate tool for further establishment of a National Nuclear Network of Competency. The current study is focused mainly on specific issues and lessons learned during the installation of CLP4NET at the CEE, TU-Sofia. (author

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...

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.

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.

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

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.

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

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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

Does the consumption of fruits and vegetables differ between Eastern and Western European populations? Systematic review of cross-national studies.

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Stefler, Denes; Bobak, Martin

2015-01-01

Difference in fruit and vegetable consumption has been suggested as a possible reason for the large gap in cardiovascular disease (CVD) mortality rates between Eastern and Western European populations. However, individual-level dietary data which allow direct comparison across the two regions are rare. In this systematic review we aimed to answer the question whether cross-national studies with comparable individual-level dietary data reveal any systematic differences in fruit and vegetable consumption between populations in Central and Eastern Europe (CEE) and the Former Soviet Union (FSU) compared to Western Europe (WE). Studies were identified by electronic search of MEDLINE, EMBASE and Web of Science databases from inception to September 2014, and hand search. Studies which reported data on fruit, vegetable consumption or carotene and vitamin C intake or tissue concentrations of adult participants from both CEE/FSU and WE countries were considered for inclusion. Quality of the included studies was assessed by a modified STROBE statement. Power calculation was performed to determine the statistical significance of the comparison results. Twenty-two studies fulfilled the inclusion criteria. Fruit consumption was found to be consistently lower in CEE/FSU participants compared to Western Europeans. Results on vegetable intake were less unambiguous. Antioxidant studies indicated lower concentration of beta-carotene in CEE/FSU subjects, but the results for vitamin C were not consistent. This systematic review suggests that populations in CEE and FSU consume less fruit than Western Europeans. The difference in the consumption of fruit may contribute to the CVD gap between the two regions.

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

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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).

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...

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

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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.

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

78 FR 20345 - Modification and Expansion of CBP Centers of Excellence and Expertise Test To Include Six...

Science.gov (United States)

2013-04-04

... & Textiles CEE; the Base Metals CEE; the Consumer Products & Mass Merchandising CEE; the Industrial... & Prepared Products CEE; the Apparel, Footwear & Textiles CEE; and the Consumer Products & Mass Merchandising..., Illinois; the Consumer Products & Mass Merchandising CEE in Atlanta, Georgia; the Industrial...

77 FR 52048 - Announcement of Test Providing Centralized Decision-Making Authority for Four CBP Centers of...

Science.gov (United States)

2012-08-28

... broad decision-making authority: the Electronics CEE; Pharmaceuticals, Health & Chemicals CEE; the Automotive & Aerospace CEE; and the Petroleum, Natural Gas & Minerals CEE. This notice invites public comment...) established two Centers of Excellence and Expertise (CEEs): The Electronics CEE in Long Beach, California and...

Regional scale analysis of the altimetric stream network evolution

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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.

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

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

Changes in the importance of work-related values in Central and Eastern Europe: Slovenia and Hungary against the trend?

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Agnes Borgulya

2013-11-01

Full Text Available The past decade has seen significant political, economic and social changes in several Central and Eastern European (CEE countries. The reasons for the most important transformation processes were the EU membership and the global recession of the late 2000’s. Our study focuses on the effects of these circumstances on people’s work-related values and attitudes. This longitudinal comparative analysis is based on the results of the European Values Study of 1999/2000 and 2008/2009. Our aim is to detect the priorities that determine employees' attitudes to work in ten CEE countries of the EU. Slovenia and Hungary will be paid special attention since these two countries seem not to be followingthe main direction of changes found in the CEE region.

HTA Implementation Roadmap in Central and Eastern European Countries

DEFF Research Database (Denmark)

Kaló, Zoltán; Gheorghe, Adrian; Huic, Mirjana

2016-01-01

The opportunity cost of inappropriate health policy decisions is greater in Central and Eastern European (CEE) compared with Western European (WE) countries because of poorer population health and more limited healthcare resources. Application of health technology assessment (HTA) prior to health......The opportunity cost of inappropriate health policy decisions is greater in Central and Eastern European (CEE) compared with Western European (WE) countries because of poorer population health and more limited healthcare resources. Application of health technology assessment (HTA) prior......, use of local data, scope of mandatory HTA, decision criteria, and international collaboration in HTA. Although HTA implementation strategies from the region can be relevant examples for other CEE countries with similar cultural environment and economic status, HTA roadmaps are not still fully...

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.

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.

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.

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.

Systematic review on the evaluation criteria of orphan medicines in Central and Eastern European countries.

Science.gov (United States)

Zelei, Tamás; Molnár, Mária J; Szegedi, Márta; Kaló, Zoltán

2016-06-04

In case of orphan drugs applicability of the standard health technology assessment (HTA) process is limited due to scarcity of good clinical and health economic evidence. Financing these premium priced drugs is more controversial in the Central and Eastern European (CEE) region where the public funding resources are more restricted, and health economic justification should be an even more important aspect of policy decisions than in higher income European countries. To explore and summarize the recent scientific evidence on value drivers related to the health technology assessment of ODs with a special focus on the perspective of third party payers in CEE countries. The review aims to list all potentially relevant value drivers in the reimbursement process of orphan drugs. A systematic literature review was performed; PubMed and Scopus databases were systematically searched for relevant publications until April 2015. Extracted data were summarized along key HTA elements. From the 2664 identified publications, 87 contained relevant information on the evaluation criteria of orphan drugs, but only 5 had direct information from the CEE region. The presentation of good clinical evidence seems to play a key role especially since this should be the basis of cost-effectiveness analyses, which have more importance in resource-constrained economies. Due to external price referencing of pharmaceuticals, the relative budget impact of orphan drugs is expected to be higher in CEE than in Western European (WE) countries unless accessibility of patients remains more limited in poorer European regions. Equity principles based on disease prevalence and non-availability of alternative treatment options may increase the price premium, however, societies must have some control on prices and a rationale based on multiple criteria in reimbursement decisions. The evaluation of orphan medicines should include multiple criteria to appropriately measure the clinical added value of orphan

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.

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

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

The Raam regional soil moisture monitoring network in the Netherlands

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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.

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.

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.

An Empirical Analysis Of Stock Returns And Volatility: The Case Of Stock Markets From Central And Eastern Europe

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Okičić Jasmina

2015-04-01

Full Text Available The main goal of this paper is to investigate the behaviour of stock returns in the case of stock markets from Central and Eastern Europe (CEE, focusing on the relationship between returns and conditional volatility. Since there is relatively little empirical research on the volatility of stock returns in underdeveloped stock markets, with even fewer studies on markets in the transitional economies of the CEE region, this paper is designed to shed some light on the econometric modelling of the conditional mean and volatility of stock returns from this region. The results presented in this paper provide confirmatory evidence that ARIMA and GARCH processes provide parsimonious approximations of mean and volatility dynamics in the case of the selected stock markets. There is overwhelming evidence corroborating the existence of a leverage effect, meaning that negative shocks increase volatility more than positive shocks do. Since financial decisions are generally based upon the trade-off between risk and return, the results presented in this paper will provide valuable information in decision making for those who are planning to invest in stock markets from the CEE region.

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.

Inferring cultural regions from correlation networks of given baby names

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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.

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

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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.

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

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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.

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.

Postmenopausal hormone therapy and subclinical cerebrovascular disease

Science.gov (United States)

Coker, L H.; Hogan, P E.; Bryan, N R.; Kuller, L H.; Margolis, K L.; Bettermann, K; Wallace, R B.; Lao, Z; Freeman, R; Stefanick, M L.; Shumaker, S A.

2009-01-01

Objective: The Women's Health Initiative Memory Study (WHIMS) hormone therapy (HT) trials reported that conjugated equine estrogen (CEE) with or without medroxyprogesterone acetate (MPA) increases risk for all-cause dementia and global cognitive decline. WHIMS MRI measured subclinical cerebrovascular disease as a possible mechanism to explain cognitive decline reported in WHIMS. Methods: We contacted 2,345 women at 14 WHIMS sites; scans were completed on 1,424 (61%) and 1,403 were accepted for analysis. The primary outcome measure was total ischemic lesion volume on brain MRI. Mean duration of on-trial HT or placebo was 4 (CEE+MPA) or 5.6 years (CEE-Alone) and scans were conducted an average of 3 (CEE+MPA) or 1.4 years (CEE-Alone) post-trial termination. Cross-sectional analysis of MRI lesions was conducted; general linear models were fitted to assess treatment group differences using analysis of covariance. A (two-tailed) critical value of α = 0.05 was used. Results: In women evenly matched within trials at baseline, increased lesion volumes were significantly related to age, smoking, history of cardiovascular disease, hypertension, lower post-trial global cognition scores, and increased incident cases of on- or post-trial mild cognitive impairment or probable dementia. Mean ischemic lesion volumes were slightly larger for the CEE+MPA group vs placebo, except for the basal ganglia, but the differences were not significant. Women assigned to CEE-Alone had similar mean ischemic lesion volumes compared to placebo. Conclusions: Conjugated equine estrogen–based hormone therapy was not associated with a significant increase in ischemic brain lesion volume relative to placebo. This finding was consistent within each trial and in pooled analyses across trials. GLOSSARY 3MSE = modified Mini-Mental State Examination; BMI = body mass index; CEE = conjugated equine estrogen; CVD = cerebrovascular disease; HT = hormone therapy; MCI = mild cognitive impairment; MPA

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

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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

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

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

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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.

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

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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.

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

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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

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.

[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.

Collaboration: the Key to Establishing Community Networks in Regional Australia

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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.

Adaptive Steganalysis Based on Selection Region and Combined Convolutional Neural Networks

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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.

Dynamic clustering scheme based on the coordination of management and control in multi-layer and multi-region intelligent optical network

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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.

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

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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.

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.)

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,

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,

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

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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.

Euroguidelines in Central and Eastern Europe (ECEE) conference and the Warsaw Declaration - a comprehensive meeting report

DEFF Research Database (Denmark)

Kowalska, J D; Oprea, C; de Witt, S

2017-01-01

country epidemiology, surveillance, national strategy for treatment and prevention, standards of care, access to care and treatment availability. Each participant filled in a questionnaire investigating HIV guidelines usage per country. RESULTS: In total, 16 Central and Eastern Europe (CEE...... and one in five the International Antiviral Society-USA (IAS-USA) Panel guidelines from 2012. CONCLUSIONS: Participants declared their will to promote the widespread use of EACS guidelines for HIV infection in the CEE region and neighbouring countries by signing the Warsaw Declaration. They also...

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...

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

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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.

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.

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.

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.

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.

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.

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.

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...

vhv supply networks, problems of network structure

Energy Technology Data Exchange (ETDEWEB)

Raimbault, J

1966-04-01

The present and future power requirements of the Paris area and the structure of the existing networks are discussed. The various limitations that will have to be allowed for to lay down the structure of a regional transmission network leading in the power of the large national transmission network to within the Paris built up area are described. The theoretical solution that has been adopted, and the features of its final achievement, which is planned for about the year 2000, and the intermediate stages are given. The problem of the structure of the National Power Transmission network which is to supply the regional network was studied. To solve this problem, a 730 kV voltage network will have to be introduced.

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.

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

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

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.

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.

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...

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)

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

Regional scheme for the connection to the grid of renewable energies: for the Hauts-de-France region, for the Nord-Pas-de-Calais region, for the Picardy region, the Alsace region, the Aquitaine region, the Auvergne region, the Lower-Normandy region, the Burgundy region, the Brittany region, the Centre-Val-de-Loire region, the Champagne-Ardennes region, the Franche-Comte region, the Upper Normandy region, the Ile-de-France region, the Languedoc-Roussillon region, the Lorraine region, the Midi-Pyrenees region, the Provence-Alps-Cote d'Azur region, the Pays-de-la-Loire region, the Poitou-Charentes region, the Rhone-Alps region. Technical and financial status of the scheme implementation

International Nuclear Information System (INIS)

2017-01-01

This document gathers reports related to all French regions. Each one addresses the elaboration of the concerned regional scheme of connection of renewable energies to the distribution network (French acronym: S3REnR) which aims at anticipating and planning evolutions of electrical networks which are necessary for the integration of renewable energies. Illustrated by maps, tables and graphs, these reports propose indications of energy production locations, an identification of planned works, a presentation of the concerned region, of its existing grid and projects, an overview of the scheme content (initial status, results of consultations, adopted strategies, planned works), and an overview of the scheme implementation status

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.

THE EFFECT OF HORMONE THERAPY ON MEAN BLOOD PRESSURE AND VISIT-TO-VISIT BLOOD PRESSURE VARIABILITY IN POSTMENOPAUSAL WOMEN: RESULTS FROM THE WOMEN’S HEALTH INITIATIVE RANDOMIZED CONTROLLED TRIALS

Science.gov (United States)

Shimbo, Daichi; Wang, Lu; Lamonte, Michael J.; Allison, Matthew; Wellenius, Gregory A.; Bavry, Anthony A.; Martin, Lisa W.; Aragaki, Aaron; Newman, Jonathan D.; Swica, Yael; Rossouw, Jacques E.; Manson, JoAnn E.; Wassertheil-Smoller, Sylvia

2014-01-01

Objectives Mean and visit-to-visit variability (VVV) of blood pressure are associated with an increased cardiovascular disease risk. We examined the effect of hormone therapy on mean and VVV of blood pressure in postmenopausal women from the Women’s Health Initiative (WHI) randomized controlled trials. Methods Blood pressure was measured at baseline and annually in the two WHI hormone therapy trials in which 10,739 and 16,608 postmenopausal women were randomized to conjugated equine estrogens (CEE, 0.625 mg/day) or placebo, and CEE plus medroxyprogesterone acetate (MPA, 2.5 mg/day) or placebo, respectively. Results At the first annual visit (Year 1), mean systolic blood pressure was 1.04 mmHg (95% CI 0.58, 1.50) and 1.35 mmHg (95% CI 0.99, 1.72) higher in the CEE and CEE+MPA arms respectively compared to corresponding placebos. These effects remained stable after Year 1. CEE also increased VVV of systolic blood pressure (ratio of VVV in CEE vs. placebo, 1.03, Pblood pressure increased at Year 1, and the differences in the CEE and CEE+MPA arms vs. placebos also continued to increase after Year 1. Further, both CEE and CEE+MPA significantly increased VVV of systolic blood pressure (ratio of VVV in CEE vs. placebo, 1.04, Pblood pressure. PMID:24991872

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

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,…

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.

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...

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.

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.

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.

ASEAN : Extra-Regional Cooperation Triggers Regional Integration

NARCIS (Netherlands)

Krapohl, S.; Krapohl, S.

2017-01-01

This chapter contains two case studies of regional cooperation within Southeast Asia. The network analysis of ASEAN demonstrates that the region is dependent on extra-regional trade with the EU and the USA, but also with China and Japan. However, the region is not dominated by a single regional

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

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...

The influence of N-acetyl-L-cysteine on oxidative stress and nitric oxide synthesis in stimulated macrophages treated with a mustard gas analogue

Directory of Open Access Journals (Sweden)

Smith Milton

2008-06-01

Full Text Available Abstract Background Sulphur mustard gas, 2, 2'-dichlorodiethyl sulphide (HD, is a chemical warfare agent. Both mustard gas and its monofunctional analogue, 2-chloroethyl ethyl sulphide (CEES, are alkylating agents that react with and diminish cellular thiols and are highly toxic. Previously, we reported that lipopolysaccharide (LPS significantly enhances the cytotoxicity of CEES in murine RAW 264.7 macrophages and that CEES transiently inhibits nitric oxide (NO production via suppression of inducible NO synthase (iNOS protein expression. NO generation is an important factor in wound healing. In this paper, we explored the hypotheses that LPS increases CEES toxicity by increasing oxidative stress and that treatment with N-acetyl-L-cysteine (NAC would block LPS induced oxidative stress and protect against loss of NO production. NAC stimulates glutathione (GSH synthesis and also acts directly as a free radical scavenger. The potential therapeutic use of the antibiotic, polymyxin B, was also evaluated since it binds to LPS and could thereby block the enhancement of CEES toxicity by LPS and also inhibit the secondary infections characteristic of HD/CEES wounds. Results We found that 10 mM NAC, when administered simultaneously or prior to treatment with 500 μM CEES, increased the viability of LPS stimulated macrophages. Surprisingly, NAC failed to protect LPS stimulated macrophages from CEES induced loss of NO production. Macrophages treated with both LPS and CEES show increased oxidative stress parameters (cellular thiol depletion and increased protein carbonyl levels. NAC effectively protected RAW 264.7 cells simultaneously treated with CEES and LPS from GSH loss and oxidative stress. Polymyxin B was found to partially block nitric oxide production and diminish CEES toxicity in LPS-treated macrophages. Conclusion The present study shows that oxidative stress is an important mechanism contributing to CEES toxicity in LPS stimulated macrophages and

Capacity development in food composition database management and nutritional research and education in Central and Eastern European, Middle Eastern and North African countries.

Science.gov (United States)

Gurinović, M; Witthöft, C M; Tepšić, J; Ranić, M; Hulshof, P J M; Hollman, P C; Porubska, J; Gohar, A; Debeljak-Martačić, J; Petrović-Oggiano, G; Novaković, R; Glibetić, M; Oshaug, A

2010-11-01

Capacity development (CD) in food and nutrition is much more than formal training and includes human resource development, and organisational, institutional and legal framework development with the aim of enhancing nutrition-relevant knowledge and skills to support infrastructural development. The goal of the European Food Information Resource (EuroFIR) Network of Excellence has been to develop and integrate food composition data throughout Europe. EuroFIR joined forces in CD with the United Nations (UN) University and UN System Standing Committee on Nutrition, the Network for Capacity Development in Nutrition in Central and Eastern Europe, the Central and Eastern European Countries Food Data Systems network and with the Middle East and North African Capacity Building Initiative. The aim of this paper is to discuss an inventory of the status of food composition databases (FCDBs) and the training needs of compilers in non-EuroFIR countries in Central and Eastern Europe (CEE) and in the Middle East and North Africa (MENA), and to present the CD achieved through EuroFIR and other network collaborations. Two online questionnaires were created addressing the FCDB status and specific training needs in countries of the targeted regions. Data were collected during 2006-2008 and then analysed. Subsequently, CD activities were organised. Contacts were established in 19 CEE and 7 MENA countries, of which several had national food composition tables, but no electronic versions. Education, training, workshops, networking and the sharing of experiences were uniformly requested. Subsequently, CD activities in EuroFIR were organised focussing on food composition courses, exchange visits, workshops and individual training for PhD students, junior scientists and other staff categories, as well as conferences linked to food composition research and food information. To facilitate CD activities, EuroFIR has signed a Memorandum of Understanding with the Czech Republic, Hungary

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?

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.

[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.

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.

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.

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

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.

Friends forever? The Role of the Visegrad Group and European Integration

Directory of Open Access Journals (Sweden)

Schmidt Andrea

2016-12-01

Full Text Available The Visegrad Group celebrated its 25th anniversary in February 2016. Established as an initiative of three statesmen from the Central and Eastern European (CEE region, this cooperation has experienced booms and crises. The aim of this paper is to analyse the function of this regional integration in the years following the end of bipolar system as Visegrad Group members headed down the road to Euro-Atlantic integration. To this end, I apply different theoretical approaches and attempt to explain the influence of key former politicians as well as new scenarios for the Visegrad Group’s position in the European Union. This analysis also covers the latest foreign policy changes and challenges facing CEE due to the involvement of a wider region that creates a counter-balance to the core EU. Statistical data and official documents from the Visegrad Group’s website strengthen these findings.

Effects of oral conjugated equine estrogens with or without medroxyprogesterone acetate on incident hypertension in the Women's Health Initiative hormone therapy trials.

Science.gov (United States)

Swica, Yael; Warren, Michelle P; Manson, JoAnn E; Aragaki, Aaron K; Bassuk, Shari S; Shimbo, Daichi; Kaunitz, Andrew; Rossouw, Jacques; Stefanick, Marcia L; Womack, Catherine R

2018-01-29

The aim of the study was to determine the effect of menopausal hormone therapy on incident hypertension in the two Women's Health Initiative hormone therapy trials and in extended postintervention follow-up. A total of 27,347 postmenopausal women aged 50 to 79 years were enrolled at 40 US centers. This analysis includes the subsample of 18,015 women who did not report hypertension at baseline and were not taking antihypertensive medication. Women with an intact uterus received conjugated equine estrogens (CEE; 0.625 mg/d) plus medroxyprogesterone acetate (MPA; 2.5 mg/d) (n = 5,994) or placebo (n = 5,679). Women with prior hysterectomy received CEE alone (0.625 mg/d) (n = 3,108) or placebo (n = 3,234). The intervention lasted a median of 5.6 years in the CEE plus MPA trial and 7.2 years in the CEE-alone trial with 13 years of cumulative follow-up until September 30, 2010. The primary outcome for these analyses was self-report of a new diagnosis of hypertension and/or high blood pressure requiring treatment with medication. During the CEE and CEE plus MPA intervention phase, the rate of incident hypertension was 18% higher for intervention than for placebo (CEE: hazard ratio [HR], 1.18; 95% CI, 1.09-1.29; CEE plus MPA: HR, 1.18; 95% CI, 1.09-1.27). This effect dissipated postintervention in both trials (CEE: HR, 1.06; 95% CI, 0.94-1.20; CEE plus MPA: HR, 1.02; 95% CI, 0.94-1.10). CEE (0.625 mg/d) administered orally, with or without CEE plus MPA, is associated with an increased risk of hypertension in older postmenopausal women. Whether lower doses, different estrogen formulations, or transdermal route of administration offer lower risks warrant further study.

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.

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.

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.

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.

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...

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.

Dictionary of power engineering and automation. Pt. 1. 3. rev. and enl. ed.

International Nuclear Information System (INIS)

Bezner, H.

1993-01-01

The dictionary has been prepared by the Translation Department of Siemens AG and essentially covers the following subjects: Basic electrotechnical terms and standards, Electrical machines (including transformers), Switchgear, Electrical systems and networks, Electrical installation practice (including lighting), Power cables, Power electronics, Protective devices and relays, Electrical measuring and analysis technology, Telecontrol, Automotive electronics, Semiconductor devices, integrated circuits, Automation technology (control engineering, programmable and numerical controls, process control), Bus systems, communication networks, data transmission and communication, Test engineering, Quality assurance and reliability. For the third edition, the dictionary has been thoroughly revised and about 2000 terms have been added, primarily referring to the subject of process control, so that the edition in hand contains approximately 65 000 entires. Sources referred to for this dictionary include: VDE specifications, DIN, VDI, IEC, BS, ANSI, CEE and ISO standards, technical literature and descriptions and operating instructions from German, British and American companies. The results of the European harmonization of electrotechnical regulations (DIN/ VDE/IEC/CEE) have been taken into account. (orig./HP) [de

Effect of Physical Therapy Students' Clinical Experiences on Clinician Productivity.

Science.gov (United States)

Pivko, Susan E; Abbruzzese, Laurel D; Duttaroy, Pragati; Hansen, Ruth L; Ryans, Kathryn

2016-01-01

Physical therapy clinical education experiences (CEEs) are difficult to secure, particularly first-level CEEs. Our purpose was to determine 1) what impact student full-time CEEs have on PT clinician productivity and 2) whether there is a productivity difference between first vs final CEEs. Productivity logs, including possible factors impacting productivity, were distributed to clinician-student pairings on first and final CEEs. Two-week baseline data (without a student) were compared to weeks 1 and 6 (with a student) for 31 logs using a 2x4 repeated-measures ANOVA. In a subset of 17 logs for CEEs 8 weeks or longer, a 2x5 repeated-measures ANOVA was performed. There was a significant increase in the number of patients seen and CPT units billed by both levels of CEEs comparing weeks 1 and 6. In the subset of CEEs, 8 weeks or longer, there was a significant increase in the number of patients treated per hour at week 6 and a trend toward a change at week 8 when compared to baseline week A. The factors selected as impacting productivity were census (59%) and staffing (32%). Physical therapy clinician-student pairings showed an overall increase in productivity during both full-time first and final level CEEs.

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

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)....

Micronutrient intake and status in Central and Eastern Europe compared with other European countries, results from the EURRECA network

NARCIS (Netherlands)

Novakovic, R.N.; Cavelaars, A.J.E.M.; Bekkering, G.E.; Roman-Vinas, B.; Ngo, J.; Gurinovic, M.; Glibetic, M.; Golesorkhi, M.; Warthon-Medina, M.; Satalic, Z.; Geelen, A.; Serra Majem, L.; Veer, van 't P.; Groot, de C.P.G.M.

2013-01-01

Objective: To compare micronutrient intakes and status in Central and Eastern Europe (CEE) with those in other European countries and with reference values. Design: Review of the micronutrient intake/status data from open access and grey literature source

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.

Central and Eastern Europe After the Boom - Time for a Stragegy Change for Foreign Multinationals?

Directory of Open Access Journals (Sweden)

Arnold Schuh

2013-06-01

Full Text Available In 2008 the global financial and economic crisis ended a six-year-long boom period with an average growth rate well above 5% in Central and Eastern Europe (CEE. Although not the originators of the crisis some CEE countries such as the Baltic States and Ukraine were among the worst hit by this economic downturn. The crisis did not only shatter the financial markets, banks and the real economy but also the growth image of CEE. The huge market potential and expected higher growth rates resulting from the catching-up process to West European standards have been the main reason for the flood of foreign direct investments into the countries of the region in the two decades before. Suddenly, foreign direct investors were confronted with stalled and even collapsing market growth, shrinking disposable household income, business customers and partners on the verge of bankruptcy and no real sign of a quick recovery. While the situation improved a little in 2011, the economic outlook and the sentiment of foreign investors have remained gloomy, at least for parts of the region. It is obvious that when faced with such a huge economic downturn companies stop geographic expansion and put the brakes on investments.

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)

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...

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.

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.

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.

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.

[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.

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.

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

Challenges for regional innovation policies in Central and Eastern Europe: spatial concentration and foreign control of US patenting

NARCIS (Netherlands)

Lengyel, B.; Sebestyén, T.; Leydesdorff, L.

2015-01-01

On the basis of patent information available online at the U.S. Patent and Trademark Office (USPTO) we point at two major and interconnected challenges that policy-makers face in Central and Eastern Europe (CEE) when combating the lagging innovation performance. First, we address the spatial

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.

Syphilis Networks in Louisiana: An Analysis of Network Configuration and Disease Transmission

Science.gov (United States)

Desmarais, Catherine Theresa

Background: In 2009, Louisiana had the highest rate of primary and secondary syphilis in the country. Recent partner notification approaches have been insufficient in addressing Louisiana's deeply entrenched areas of syphilis infection. Prior researchers have suggested that surveillance systems may benefit from utilizing social and spatial network analysis in syphilis control efforts. Objective: To expand the understanding of the spread of syphilis in Louisiana, and to add new tools to the state's case finding resources through the description of the characteristics of cases of early syphilis and their partners in Louisiana, the socio-sexual networks of these cases, and the geospatial clustering of cases and partners. Methods: Utilizing state surveillance data, all cases of primary, secondary, and early latent syphilis that were diagnosed in 2009 and data on their sexual or needle sharing partners were analyzed using a combination of descriptive, network, and geospatial measures. Results: In 2009, Louisiana experienced a high rate of heterosexual syphilis transmission. Within syphilis transmission networks, 50.8% of all cases were female and 84.2% of all cases were black. The average and median ages of males with reactive syphilis tests were higher than that of females in Louisiana, and in 88.9% of regions, older individuals were more likely to have a syphilis test than no test. A greater proportion of males (11.4%) refused to discuss partners than females (7.4%) and a greater proportion of males (5.5%) refused testing and prophylactic treatment than females (2.8%). No distinct patterns were seen in disease prevalence between regions based upon demographic data. Classic summary network measures such as density, degree, centrality, and betweenness provided little information on similarities and differences between the different regions in Louisiana. All measures indicated low density and extreme fragmentation of networks in Louisiana. The majority of network

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...

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.

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.

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

Speech networks at rest and in action: interactions between functional brain networks controlling speech production

Science.gov (United States)

Fuertinger, Stefan

2015-01-01

Speech production is one of the most complex human behaviors. Although brain activation during speaking has been well investigated, our understanding of interactions between the brain regions and neural networks remains scarce. We combined seed-based interregional correlation analysis with graph theoretical analysis of functional MRI data during the resting state and sentence production in healthy subjects to investigate the interface and topology of functional networks originating from the key brain regions controlling speech, i.e., the laryngeal/orofacial motor cortex, inferior frontal and superior temporal gyri, supplementary motor area, cingulate cortex, putamen, and thalamus. During both resting and speaking, the interactions between these networks were bilaterally distributed and centered on the sensorimotor brain regions. However, speech production preferentially recruited the inferior parietal lobule (IPL) and cerebellum into the large-scale network, suggesting the importance of these regions in facilitation of the transition from the resting state to speaking. Furthermore, the cerebellum (lobule VI) was the most prominent region showing functional influences on speech-network integration and segregation. Although networks were bilaterally distributed, interregional connectivity during speaking was stronger in the left vs. right hemisphere, which may have underlined a more homogeneous overlap between the examined networks in the left hemisphere. Among these, the laryngeal motor cortex (LMC) established a core network that fully overlapped with all other speech-related networks, determining the extent of network interactions. Our data demonstrate complex interactions of large-scale brain networks controlling speech production and point to the critical role of the LMC, IPL, and cerebellum in the formation of speech production network. PMID:25673742

GRTgaz and the regions

International Nuclear Information System (INIS)

2017-01-01

GRTgaz is a European leader in natural gas transmission, a world expert in gas transmission networks and systems, and an operator firmly committed to the energy transition. It owns and operates the gas transmission network throughout most of France and it manages the transmission network in Germany, thereby helping to ensure correct operation of the French and European gas market. It contributes to the energy security of regional supply systems and performs a public service mission to ensure the continuity of consumer supply. This document presents the regional activities of GRTgaz in France in the form of 12 regional fact sheets summarizing the key data by the end of 2016: network structure, financial indicators (investments, orders), public and industrial gas consumptions, 2017 projects, institutional and environmental partnerships

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.

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

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.

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...

Studying the Factors of Economic Growth in Countries of Central and Eastern Europe

Directory of Open Access Journals (Sweden)

Cherkas Nataliia I.

2018-03-01

Full Text Available The aim of the article is to study the impact of macroeconomic, technological and institutional indicators on economic growth of countries of Central and Eastern Europe (CEE using a panel data model. A sample of 12 CEE countries for the period 2006-2015 is analyzed. The following methods are used: 1 ordinary least squares (OLS, 2 fixed effects model (FE; 3 random effects model (RE. As a dependent variable there selected GDP per capita based on purchasing power parity, as an independent one — the exchange rate, export of high- and low-tech products, import of high-tech products, innovations. There used additional control variables: foreign direct investment, government efficiency, human capital, the Gini index, and public debt. The results of the study show that the devaluation of the monetary unit adversely affects the economic growth. Asymmetric results of the impact of high-technology and low-technology exports on GDP are obtained. The development of innovation and the improvement of the quality of human capital demonstrate a positive significant impact in terms of all specifications. The obtained results confirm that European integration supports non-price competition of CEE countries in the world market of high-tech products through participation in production networks of the EU-15.

Speech networks at rest and in action: interactions between functional brain networks controlling speech production.

Science.gov (United States)

Simonyan, Kristina; Fuertinger, Stefan

2015-04-01

Speech production is one of the most complex human behaviors. Although brain activation during speaking has been well investigated, our understanding of interactions between the brain regions and neural networks remains scarce. We combined seed-based interregional correlation analysis with graph theoretical analysis of functional MRI data during the resting state and sentence production in healthy subjects to investigate the interface and topology of functional networks originating from the key brain regions controlling speech, i.e., the laryngeal/orofacial motor cortex, inferior frontal and superior temporal gyri, supplementary motor area, cingulate cortex, putamen, and thalamus. During both resting and speaking, the interactions between these networks were bilaterally distributed and centered on the sensorimotor brain regions. However, speech production preferentially recruited the inferior parietal lobule (IPL) and cerebellum into the large-scale network, suggesting the importance of these regions in facilitation of the transition from the resting state to speaking. Furthermore, the cerebellum (lobule VI) was the most prominent region showing functional influences on speech-network integration and segregation. Although networks were bilaterally distributed, interregional connectivity during speaking was stronger in the left vs. right hemisphere, which may have underlined a more homogeneous overlap between the examined networks in the left hemisphere. Among these, the laryngeal motor cortex (LMC) established a core network that fully overlapped with all other speech-related networks, determining the extent of network interactions. Our data demonstrate complex interactions of large-scale brain networks controlling speech production and point to the critical role of the LMC, IPL, and cerebellum in the formation of speech production network. Copyright © 2015 the American Physiological Society.

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.

World Input-Output Network.

Directory of Open Access Journals (Sweden)

Federica Cerina

Full Text Available Production systems, traditionally analyzed as almost independent national systems, are increasingly connected on a global scale. Only recently becoming available, the World Input-Output Database (WIOD is one of the first efforts to construct the global multi-regional input-output (GMRIO tables. By viewing the world input-output system as an interdependent network where the nodes are the individual industries in different economies and the edges are the monetary goods flows between industries, we analyze respectively the global, regional, and local network properties of the so-called world input-output network (WION and document its evolution over time. At global level, we find that the industries are highly but asymmetrically connected, which implies that micro shocks can lead to macro fluctuations. At regional level, we find that the world production is still operated nationally or at most regionally as the communities detected are either individual economies or geographically well defined regions. Finally, at local level, for each industry we compare the network-based measures with the traditional methods of backward linkages. We find that the network-based measures such as PageRank centrality and community coreness measure can give valuable insights into identifying the key industries.

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

Where Did Central- and Eastern-European Emigrants Go and Why?

DEFF Research Database (Denmark)

Pytlikova, Mariola

Central European countries, and Romania and Bulgaria, while immigrants from the Baltic countries seem to rely much less on networks. Income gaps have a positive effect on migration flows, particularly from the Southeastern countries, while employment opportunities in destination countries are main...... an important role in international migration from those countries. The disaggregated results show that there are large differences between the CEE countries with respect to emigration patterns. The lagged stock of immigrants, which may reflect networks has a strong and positive effect for immigrants from...

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.

Significance of porous structure on degradatin of 2 2' dichloro diethyl sulphide and 2 chloroethyl ethyl sulphide on the surface of vanadium oxide nanostructure

International Nuclear Information System (INIS)

Singh, Beer; Mahato, T.H.; Srivastava, A.K.; Prasad, G.K.; Ganesan, K.; Vijayaraghavan, R.; Jain, Rajeev

2011-01-01

Degradation of the king of chemical warfare agent, 2 2' dichloro diethyl sulphide (HD), and its simulant 2 chloroethyl ethyl sulphide (CEES) were investigated on the surface of porous vanadium oxide nanotubes at room temperature (30 ± 2 ° C ). Reaction kinetics was monitored by GC-FID technique and the reaction products were characterized by GC-MS. Data indicates that HD degraded faster relative to CEES inside the solid decontaminant compared to the reported liquid phase degradation of CEES and HD. Data explores the role of hydrolysis, elimination and oxidation reactions in the detoxification of HD and CEES and the first order rate constant and t 1/2 were calculated to be 0.026 h -1 , 26.6 h for CEES and 0.052 h -1 , 13.24 h for HD. In this report faster degradation of HD compared to CEES was explained on the basis of porous structure.

2,6-Dithiopurine, a nucleophilic scavenger, protects against mutagenesis in mouse skin treated in vivo with 2-(chloroethyl) ethyl sulfide, a mustard gas analog

Energy Technology Data Exchange (ETDEWEB)

Boulware, Stephen [Division of Pharmacy and Toxicology, College of Pharmacy, The University of Texas at Austin, Dell Pediatric Research Institute, 1400 Barbara Jordan Blvd., Austin, TX 78723 (United States); Fields, Tammy; McIvor, Elizabeth; Powell, K. Leslie; Abel, Erika L. [Department of Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Science Park, Smithville, TX 78957 (United States); Vasquez, Karen M. [Division of Pharmacy and Toxicology, College of Pharmacy, The University of Texas at Austin, Dell Pediatric Research Institute, 1400 Barbara Jordan Blvd., Austin, TX 78723 (United States); MacLeod, Michael C., E-mail: mcmacleod@mdanderson.org [Department of Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Science Park, Smithville, TX 78957 (United States)

2012-09-01

Sulfur mustard [bis(2-chloroethyl)sulfide, SM] is a well-known DNA-damaging agent that has been used in chemical warfare since World War I, and is a weapon that could potentially be used in a terrorist attack on a civilian population. Dermal exposure to high concentrations of SM produces severe, long-lasting burns. Topical exposure to high concentrations of 2-(chloroethyl) ethyl sulfide (CEES), a monofunctional analog of SM, also produces severe skin lesions in mice. Utilizing a genetically engineered mouse strain, Big Blue, that allows measurement of mutation frequencies in mouse tissues, we now show that topical treatment with much lower concentrations of CEES induces significant dose- and time-dependent increases in mutation frequency in mouse skin; the mutagenic exposures produce minimal toxicity as determined by standard histopathology and immunohistochemical analysis for cytokeratin 6 and the DNA-damage induced phosphorylation of histone H2AX (γ-H2AX). We attempted to develop a therapeutic that would inhibit the CEES-induced increase in mutation frequency in the skin. We observe that multi-dose, topical treatment with 2,6-dithiopurine (DTP), a known chemical scavenger of CEES, beginning 1 h post-exposure to CEES, completely abolishes the CEES-induced increase in mutation frequency. These findings suggest the possibility that DTP, previously shown to be non-toxic in mice, may be useful as a therapeutic agent in accidental or malicious human exposures to SM. -- Highlights: ► 200 mM 2-(chloroethyl) ethyl sulfide (CEES) induces mutations in mouse skin. ► This dose of CEES is not overtly toxic, as assayed by histopathology. ► 2,6-Dithiopurine (DTP), applied after CEES-treatment, abolishes CEES-mutagenesis. ► This supports the idea that sulfur mustards exhibit long biological half-lives.

2,6-Dithiopurine, a nucleophilic scavenger, protects against mutagenesis in mouse skin treated in vivo with 2-(chloroethyl) ethyl sulfide, a mustard gas analog

International Nuclear Information System (INIS)

Boulware, Stephen; Fields, Tammy; McIvor, Elizabeth; Powell, K. Leslie; Abel, Erika L.; Vasquez, Karen M.; MacLeod, Michael C.

2012-01-01

Sulfur mustard [bis(2-chloroethyl)sulfide, SM] is a well-known DNA-damaging agent that has been used in chemical warfare since World War I, and is a weapon that could potentially be used in a terrorist attack on a civilian population. Dermal exposure to high concentrations of SM produces severe, long-lasting burns. Topical exposure to high concentrations of 2-(chloroethyl) ethyl sulfide (CEES), a monofunctional analog of SM, also produces severe skin lesions in mice. Utilizing a genetically engineered mouse strain, Big Blue, that allows measurement of mutation frequencies in mouse tissues, we now show that topical treatment with much lower concentrations of CEES induces significant dose- and time-dependent increases in mutation frequency in mouse skin; the mutagenic exposures produce minimal toxicity as determined by standard histopathology and immunohistochemical analysis for cytokeratin 6 and the DNA-damage induced phosphorylation of histone H2AX (γ-H2AX). We attempted to develop a therapeutic that would inhibit the CEES-induced increase in mutation frequency in the skin. We observe that multi-dose, topical treatment with 2,6-dithiopurine (DTP), a known chemical scavenger of CEES, beginning 1 h post-exposure to CEES, completely abolishes the CEES-induced increase in mutation frequency. These findings suggest the possibility that DTP, previously shown to be non-toxic in mice, may be useful as a therapeutic agent in accidental or malicious human exposures to SM. -- Highlights: ► 200 mM 2-(chloroethyl) ethyl sulfide (CEES) induces mutations in mouse skin. ► This dose of CEES is not overtly toxic, as assayed by histopathology. ► 2,6-Dithiopurine (DTP), applied after CEES-treatment, abolishes CEES-mutagenesis. ► This supports the idea that sulfur mustards exhibit long biological half-lives.

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...

Hepatoprotective Activity of Cichorium endivia L. Extract and Its Chemical Constituents

Directory of Open Access Journals (Sweden)

Ai-Ping Wang

2011-10-01

Full Text Available The objective of the present study was to investigate the in vitro and in vivo hepatoprotective properties of Cichorium endivia L. extract (CEE, and to identify its chemical constituents. CEE significantly blocked the oxidative stress and cytotoxicity induced by tert-butyl hydroperoxide (t-BHP in HepG2 cells. Meanwhile, oral administration of CEE to mice before the treatment of t-BHP exhibited a markedly protective effect by lowering serum levels of ALT and AST, inhibiting the changes in liver biochemistry including MDA, SOD, GSH and GST, as well as ameliorating the liver injuries according to the histopathological observations. According to the acute oral toxicity test, the LD50 of CEE was greater than 5,000 mg/kg, which demonstrates that the CEE can be considered practically non-toxic. Phytochemical analysis of CEE showed the presence of five compounds identified as 2-furanmethanol-(5'→11-1,3-cyclopentadiene-[5,4-c]-1H-cinnoline, which is a new cinnoline derivative derived from a natural source but not synthesis, 2-phenylethyl-β-D-glucopyranoside, kaempferol-3-O-β-D-glucoside, kaempferol, and adenosine. In the ORAC assay, CEE and its constituents kaempferol and kaempferol-3-O-β-D-glucoside had considerable antioxidant potency. Taken together, CEE protects hepatic tissue from oxidative damage in vitro and in vivo, potentially due to its phenolic substances, and does not cause acute oral toxicity, which suggests that CEE may be a valid and safe remedy to cure liver disease.

Chemical Warfare Agent Simulants in Gamble’s Fluid: Is the Fluid Toxic? Can It Be Made Safer by Inclusion of Solid Nanocrystalline Metal Oxides?

Directory of Open Access Journals (Sweden)

Dennis Karote

2013-01-01

Full Text Available The reactions of chemical warfare agent simulants, 2-chloroethyl ethyl sulfide (2-CEES and di-i-propyl fluoro phosphate (DFP, in fluids have been investigated. Data analyses confirm the major degradation pathway to be hydrolysis of 2-CEES to 2-hydroxyethyl ethyl sulfide, along with minor self-condensation products. Among the three fluids examined, 2-CEES degradation was the fastest in Gamble’s fluid during a 96 h period. Upon addition of Exceptional Hazard Attenuation Materials (EHAMs to 2-CEES containing Gamble’s fluid, degradation was generally improved during the first 24 h period. The 96 h outcome was similar for fluid samples with or without EHAM 2 and EHAM 4. EHAM 1-added fluid contained only one degradation product, 2-nitroethyl ethyl sulfide. DFP degradation was the slowest in Gamble’s fluid, but was enhanced by the addition of EHAMs. FTIR and solid state 31P NMR confirm the destructive adsorption of 2-CEES and DFP by the EHAMs. The results collectively demonstrate that 2-CEES and DFP decompose to various extents in Gamble’s fluid over a 96 h period but the fluid still contains a considerable amount of intact simulant. EHAM 1 appears to be promising for 2-CEES and DFP mitigation while EHAM 2 and EHAM 4 work well for early on concentration reduction of 2-CEES and DFP.

Network brokers in the periphery

DEFF Research Database (Denmark)

Leick, Birgit; Gretzinger, Susanne; Ingstrup, Mads Bruun

in a way that both enterprise development and regional competitiveness in rural-peripheral regions are supported. Based on a case study of four network brokers from peripheral regions in Germany, we shed light on the activities of brokers with regard to networking among local businesses and the effects...... on knowledge sharing. The paper will also critically discuss governance implications of network brokers in the periphery, which are associated with the (lack of) integration of such actors with established local and regional governance infrastructures.......Research on rural-peripheral regions stresses that such environments face multiple challenges in a globalised world, which, from a policy perspective, should be addressed to enhance regional competitiveness. These challenges are typically associated with a prevalence of small and medium...

Trade networks in West Africa

DEFF Research Database (Denmark)

Walther, Olivier

2014-01-01

To date, most of the literature on trade networks in West Africa has considered networks in a metaphorical way. The aim of this paper is to go one step further by showing how social network analysis may be applied to the study of regional trade in West Africa. After a brief review of the literature......, this exploratory paper investigates two main issues related to regional trade. We start by discussing how recent developments in regional trade in West Africa have contributed to challenging the social structure of traders. We then discuss the changes that have affected the spatiality of regional trade by looking...

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

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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.

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.

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.

Study on the Relationships between Higher Education Institutions and Students Pertaining to the Higher Education Recruitment Process

Science.gov (United States)

Qin, Hongxia

2013-01-01

Differences of view have always existed regarding the legal relationship between colleges and students, where the national College Entrance Examinations (CEEs) are concerned. Proceeding from the legal nature of independent student recruitment powers during CEEs, of CEE application forms, and of college enrollment charters, this article maintains…

Significance of porous structure on degradatin of 2 2' dichloro diethyl sulphide and 2 chloroethyl ethyl sulphide on the surface of vanadium oxide nanostructure

Energy Technology Data Exchange (ETDEWEB)

Singh, Beer, E-mail: beerbs5@rediffmail.com [Defence R and D Establishment, Jhansi Road, Gwalior, M.P 474002 (India); Mahato, T.H.; Srivastava, A.K.; Prasad, G.K.; Ganesan, K.; Vijayaraghavan, R. [Defence R and D Establishment, Jhansi Road, Gwalior, M.P 474002 (India); Jain, Rajeev [School of Studies in Chemistry, Jiwaji University, Gwalior, M.P. 474011 (India)

2011-06-15

Degradation of the king of chemical warfare agent, 2 2' dichloro diethyl sulphide (HD), and its simulant 2 chloroethyl ethyl sulphide (CEES) were investigated on the surface of porous vanadium oxide nanotubes at room temperature (30 {+-} 2{sup Degree-Sign }C ). Reaction kinetics was monitored by GC-FID technique and the reaction products were characterized by GC-MS. Data indicates that HD degraded faster relative to CEES inside the solid decontaminant compared to the reported liquid phase degradation of CEES and HD. Data explores the role of hydrolysis, elimination and oxidation reactions in the detoxification of HD and CEES and the first order rate constant and t{sub 1/2} were calculated to be 0.026 h{sup -1}, 26.6 h for CEES and 0.052 h{sup -1}, 13.24 h for HD. In this report faster degradation of HD compared to CEES was explained on the basis of porous structure.

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.

Control networks and hubs.

Science.gov (United States)

Gratton, Caterina; Sun, Haoxin; Petersen, Steven E

2018-03-01

Executive control functions are associated with frontal, parietal, cingulate, and insular brain regions that interact through distributed large-scale networks. Here, we discuss how fMRI functional connectivity can shed light on the organization of control networks and how they interact with other parts of the brain. In the first section of our review, we present convergent evidence from fMRI functional connectivity, activation, and lesion studies that there are multiple dissociable control networks in the brain with distinct functional properties. In the second section, we discuss how graph theoretical concepts can help illuminate the mechanisms by which control networks interact with other brain regions to carry out goal-directed functions, focusing on the role of specialized hub regions for mediating cross-network interactions. Again, we use a combination of functional connectivity, lesion, and task activation studies to bolster this claim. We conclude that a large-scale network perspective provides important neurobiological constraints on the neural underpinnings of executive control, which will guide future basic and translational research into executive function and its disruption in disease. © 2017 Society for Psychophysiological Research.

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.

NPM Can Work: An optimistic review of the impact of New Public Management reforms in central and eastern Europe

NARCIS (Netherlands)

S. Dan (Sorin); Ch. Pollitt (Christopher)

2014-01-01

textabstractThis article reviews the New Public Management (NPM) literature in central and eastern Europe (CEE) with the aim of assessing whether reforms have 'worked'. Increasingly, academics have tended to argue against the suitability of NPM instruments in this region. To understand the impact of

From network structure to network reorganization: implications for adult neurogenesis

International Nuclear Information System (INIS)

Schneider-Mizell, Casey M; Zochowski, Michal R; Sander, Leonard M; Parent, Jack M; Ben-Jacob, Eshel

2010-01-01

Networks can be dynamical systems that undergo functional and structural reorganization. One example of such a process is adult hippocampal neurogenesis, in which new cells are continuously born and incorporate into the existing network of the dentate gyrus region of the hippocampus. Many of these introduced cells mature and become indistinguishable from established neurons, joining the existing network. Activity in the network environment is known to promote birth, survival and incorporation of new cells. However, after epileptogenic injury, changes to the connectivity structure around the neurogenic niche are known to correlate with aberrant neurogenesis. The possible role of network-level changes in the development of epilepsy is not well understood. In this paper, we use a computational model to investigate how the structural and functional outcomes of network reorganization, driven by addition of new cells during neurogenesis, depend on the original network structure. We find that there is a stable network topology that allows the network to incorporate new neurons in a manner that enhances activity of the persistently active region, but maintains global network properties. In networks having other connectivity structures, new cells can greatly alter the distribution of firing activity and destroy the initial activity patterns. We thus find that new cells are able to provide focused enhancement of network only for small-world networks with sufficient inhibition. Network-level deviations from this topology, such as those caused by epileptogenic injury, can set the network down a path that develops toward pathological dynamics and aberrant structural integration of new cells

Networks and network analysis for defence and security

CERN Document Server

Masys, Anthony J

2014-01-01

Networks and Network Analysis for Defence and Security discusses relevant theoretical frameworks and applications of network analysis in support of the defence and security domains. This book details real world applications of network analysis to support defence and security. Shocks to regional, national and global systems stemming from natural hazards, acts of armed violence, terrorism and serious and organized crime have significant defence and security implications. Today, nations face an uncertain and complex security landscape in which threats impact/target the physical, social, economic

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.

Inhibition of inducible Nitric Oxide Synthase by a mustard gas analog in murine macrophages

Directory of Open Access Journals (Sweden)

Smith Milton

2006-11-01

Full Text Available Abstract Background 2-Chloroethyl ethyl sulphide (CEES is a sulphur vesicating agent and an analogue of the chemical warfare agent 2,2'-dichlorodiethyl sulphide, or sulphur mustard gas (HD. Both CEES and HD are alkylating agents that influence cellular thiols and are highly toxic. In a previous publication, we reported that lipopolysaccharide (LPS enhances the cytotoxicity of CEES in murine RAW264.7 macrophages. In the present investigation, we studied the influence of CEES on nitric oxide (NO production in LPS stimulated RAW264.7 cells since NO signalling affects inflammation, cell death, and wound healing. Murine macrophages stimulated with LPS produce NO almost exclusively via inducible nitric oxide synthase (iNOS activity. We suggest that the influence of CEES or HD on the cellular production of NO could play an important role in the pathophysiological responses of tissues to these toxicants. In particular, it is known that macrophage generated NO synthesised by iNOS plays a critical role in wound healing. Results We initially confirmed that in LPS stimulated RAW264.7 macrophages NO is exclusively generated by the iNOS form of nitric oxide synthase. CEES treatment inhibited the synthesis of NO (after 24 hours in viable LPS-stimulated RAW264.7 macrophages as measured by either nitrite secretion into the culture medium or the intracellular conversion of 4,5-diaminofluorescein diacetate (DAF-2DA or dichlorofluorescin diacetate (DCFH-DA. Western blots showed that CEES transiently decreased the expression of iNOS protein; however, treatment of active iNOS with CEES in vitro did not inhibit its enzymatic activity Conclusion CEES inhibits NO production in LPS stimulated macrophages by decreasing iNOS protein expression. Decreased iNOS expression is likely the result of CEES induced alteration in the nuclear factor kappa B (NF-κB signalling pathway. Since NO can act as an antioxidant, the CEES induced down-regulation of iNOS in LPS

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.

Networking Ethics: A Survey of Bioethics Networks Across the U.S.

Science.gov (United States)

Fausett, Jennifer Kleiner; Gilmore-Szott, Eleanor; Hester, D Micah

2016-06-01

Ethics networks have emerged over the last few decades as a mechanism for individuals and institutions over various regions, cities and states to converge on healthcare-related ethical issues. However, little is known about the development and nature of such networks. In an effort to fill the gap in the knowledge about such networks, a survey was conducted that evaluated the organizational structure, missions and functions, as well as the outcomes/products of ethics networks across the country. Eighteen established bioethics networks were identified via consensus of three search processes and were approached for participation. The participants completed a survey developed for the purposes of this study and distributed via SurveyMonkey. Responses were obtained from 10 of the 18 identified and approached networks regarding topic areas of: Network Composition and Catchment Areas; Network Funding and Expenses; Personnel; Services; and Missions and Accomplishments. Bioethics networks are designed primarily to bring ethics education and support to professionals and hospitals. They do so over specifically defined areas-states, regions, or communities-and each is concerned about how to stay financially healthy. At the same time, the networks work off different organizational models, either as stand-alone organizations or as entities within existing organizational structures.

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

Social networks and trade of services: modelling interregional flows with spatial and network autocorrelation effects

Science.gov (United States)

de la Mata, Tamara; Llano, Carlos

2013-07-01

Recent literature on border effect has fostered research on informal barriers to trade and the role played by network dependencies. In relation to social networks, it has been shown that intensity of trade in goods is positively correlated with migration flows between pairs of countries/regions. In this article, we investigate whether such a relation also holds for interregional trade of services. We also consider whether interregional trade flows in services linked with tourism exhibit spatial and/or social network dependence. Conventional empirical gravity models assume the magnitude of bilateral flows between regions is independent of flows to/from regions located nearby in space, or flows to/from regions related through social/cultural/ethic network connections. With this aim, we provide estimates from a set of gravity models showing evidence of statistically significant spatial and network (demographic) dependence in the bilateral flows of the trade of services considered. The analysis has been applied to the Spanish intra- and interregional monetary flows of services from the accommodation, restaurants and travel agencies for the period 2000-2009, using alternative datasets for the migration stocks and definitions of network effects.

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)

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

Social security reform in Central and Eastern Europe: variations on a Latin American theme.

Science.gov (United States)

Kritzer, B E

After Chile reformed its social security system in 1981, several other Latin American countries and certain Central and Eastern European (CEE) countries implemented the Chilean model, with some variations: either a single- or multitier system, or with a period of transition to take care of those in the labor force at the time of the change. The single-tier version consists of individual accounts in pension fund management companies. Multi-tier systems retain some form of public program and add mandatory individual accounts. Most of the CEE countries did not want to incur the high transition costs associated with the Chilean model. The switch to a market economy had already strained their economies. Also, the countries' desire to adopt the European Union's Euro as their currency--a move that required a specific debt ceiling--limited the amount of additional debt they could incur. This article describes the CEE reforms and makes some comparisons with the Latin American experience. Most of the CEE countries have chosen a mixed system and have restructured the pay-as-you-go (PAYGO) tier, while the Latin American countries have both single- and multi-tier systems. Some CEE countries have set up notional defined contribution (NDC) schemes for the PAYGO tier in which each insured person has a hypothetical account made up of all contributions during his or her working life. Survivors and disability programs in CEE have remained in the public tier, but in most of the Latin American programs the insured must purchase a separate insurance policy. Issues common to both regions include: Administrative costs are high and competition is keen, which has led to consolidation and mergers among the companies and a large market share controlled by a few companies. Benefits are proportionately lower for women than for men. A large, informal sector is not covered by social security. This sector is apparently much larger in Latin America than in the CEE countries. Issues that are unique

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

Comparative politics in central and eastern europe: Mapping publications over the past 20 years

DEFF Research Database (Denmark)

Schneider, Carsten Q; Bochsler, Daniel; Chiru, Mihail

2012-01-01

This article offers a new empirical perspective on the state of Comparative Politics (CP) in Central and Eastern Europe (CEE). We present findings on the authors, methods, and epistemology of CP publications in the most relevant journals from eleven countries in the region. The major finding...

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.

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.

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)

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.

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

Determinants of non-performing loans in Central and Eastern European countries

Directory of Open Access Journals (Sweden)

Bruna Škarica

2014-03-01

Full Text Available This paper analyses the determinants of the changes in the non-performing loan (NPL ratio in selected European emerging markets. The model was estimated on a panel dataset using a fixed effects estimator for seven Central and Eastern European (CEE countries between Q3:2007 and Q3:2012. The countries analyzed are Bulgaria, Croatia, Czech Republic, Hungary, Latvia, Romania and Slovakia. Although the literature on NPLs is quite extensive, this is the first empirical research on the countries of CEE region using aggregate, country-level data on problem loans. The results suggest that the primary cause of high levels of NPLs is the economic slowdown, which is evident from statistically significant and economically large coefficients on GDP, unemployment and the inflation rate.

Domain-General Brain Regions Do Not Track Linguistic Input as Closely as Language-Selective Regions.

Science.gov (United States)

Blank, Idan A; Fedorenko, Evelina

2017-10-11

Language comprehension engages a cortical network of left frontal and temporal regions. Activity in this network is language-selective, showing virtually no modulation by nonlinguistic tasks. In addition, language comprehension engages a second network consisting of bilateral frontal, parietal, cingulate, and insular regions. Activity in this "multiple demand" (MD) network scales with comprehension difficulty, but also with cognitive effort across a wide range of nonlinguistic tasks in a domain-general fashion. Given the functional dissociation between the language and MD networks, their respective contributions to comprehension are likely distinct, yet such differences remain elusive. Prior neuroimaging studies have suggested that activity in each network covaries with some linguistic features that, behaviorally, influence on-line processing and comprehension. This sensitivity of the language and MD networks to local input characteristics has often been interpreted, implicitly or explicitly, as evidence that both networks track linguistic input closely, and in a manner consistent across individuals. Here, we used fMRI to directly test this assumption by comparing the BOLD signal time courses in each network across different people ( n = 45, men and women) listening to the same story. Language network activity showed fewer individual differences, indicative of closer input tracking, whereas MD network activity was more idiosyncratic and, moreover, showed lower reliability within an individual across repetitions of a story. These findings constrain cognitive models of language comprehension by suggesting a novel distinction between the processes implemented in the language and MD networks. SIGNIFICANCE STATEMENT Language comprehension recruits both language-specific mechanisms and domain-general mechanisms that are engaged in many cognitive processes. In the human cortex, language-selective mechanisms are implemented in the left-lateralized "core language network

Phenotypes of COPD patients with a smoking history in Central and Eastern Europe: the POPE Study

Science.gov (United States)

Koblizek, Vladimir; Milenkovic, Branislava; Barczyk, Adam; Tkacova, Ruzena; Somfay, Attila; Zykov, Kirill; Tudoric, Neven; Kostov, Kosta; Zbozinkova, Zuzana; Svancara, Jan; Sorli, Jurij; Krams, Alvils; Miravitlles, Marc

2017-01-01

Chronic obstructive pulmonary disease (COPD) represents a major health problem in Central and Eastern European (CEE) countries; however, there are no data regarding clinical phenotypes of these patients in this region. Participation in the Phenotypes of COPD in Central and Eastern Europe (POPE) study was offered to stable patients with COPD in a real-life setting. The primary aim of this study was to assess the prevalence of phenotypes according to predefined criteria. Secondary aims included analysis of differences in symptom load, comorbidities and pharmacological treatment. 3362 patients with COPD were recruited in 10 CEE countries. 63% of the population were nonexacerbators, 20.4% frequent exacerbators with chronic bronchitis, 9.5% frequent exacerbators without chronic bronchitis and 6.9% were classified as asthma–COPD overlap. Differences in the distribution of phenotypes between countries were observed, with the highest heterogeneity observed in the nonexacerbator cohort and the lowest heterogeneity observed in the asthma–COPD cohort. There were statistically significant differences in symptom load, lung function, comorbidities and treatment between these phenotypes. The majority of patients with stable COPD in CEE are nonexacerbators; however, there are distinct differences in surrogates of disease severity and therapy between predefined COPD phenotypes. PMID:28495687

40 CFR 8.8 - Comprehensive environmental evaluation.

Science.gov (United States)

2010-07-01

... conduct of scientific research and on other existing uses and values; (10) An identification of gaps in... evaluation. (a) Preparation of a CEE. Unless a PERM or an IEE has been submitted and determined to meet the... evaluate the CEE to determine if the CEE meets the requirements under Article 8 and Annex I to the Protocol...

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.

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)

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…

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.

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)

Structural network heterogeneities and network dynamics: a possible dynamical mechanism for hippocampal memory reactivation.

Science.gov (United States)

Jablonski, Piotr; Poe, Gina; Zochowski, Michal

2007-03-01

The hippocampus has the capacity for reactivating recently acquired memories and it is hypothesized that one of the functions of sleep reactivation is the facilitation of consolidation of novel memory traces. The dynamic and network processes underlying such a reactivation remain, however, unknown. We show that such a reactivation characterized by local, self-sustained activity of a network region may be an inherent property of the recurrent excitatory-inhibitory network with a heterogeneous structure. The entry into the reactivation phase is mediated through a physiologically feasible regulation of global excitability and external input sources, while the reactivated component of the network is formed through induced network heterogeneities during learning. We show that structural changes needed for robust reactivation of a given network region are well within known physiological parameters.

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...

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.

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.

The hierarchical brain network for face recognition.

Science.gov (United States)

Zhen, Zonglei; Fang, Huizhen; Liu, Jia

2013-01-01

Numerous functional magnetic resonance imaging (fMRI) studies have identified multiple cortical regions that are involved in face processing in the human brain. However, few studies have characterized the face-processing network as a functioning whole. In this study, we used fMRI to identify face-selective regions in the entire brain and then explore the hierarchical structure of the face-processing network by analyzing functional connectivity among these regions. We identified twenty-five regions mainly in the occipital, temporal and frontal cortex that showed a reliable response selective to faces (versus objects) across participants and across scan sessions. Furthermore, these regions were clustered into three relatively independent sub-networks in a face-recognition task on the basis of the strength of functional connectivity among them. The functionality of the sub-networks likely corresponds to the recognition of individual identity, retrieval of semantic knowledge and representation of emotional information. Interestingly, when the task was switched to object recognition from face recognition, the functional connectivity between the inferior occipital gyrus and the rest of the face-selective regions were significantly reduced, suggesting that this region may serve as an entry node in the face-processing network. In sum, our study provides empirical evidence for cognitive and neural models of face recognition and helps elucidate the neural mechanisms underlying face recognition at the network level.

Centrality in earthquake multiplex networks

Science.gov (United States)

Lotfi, Nastaran; Darooneh, Amir Hossein; Rodrigues, Francisco A.

2018-06-01

Seismic time series has been mapped as a complex network, where a geographical region is divided into square cells that represent the nodes and connections are defined according to the sequence of earthquakes. In this paper, we map a seismic time series to a temporal network, described by a multiplex network, and characterize the evolution of the network structure in terms of the eigenvector centrality measure. We generalize previous works that considered the single layer representation of earthquake networks. Our results suggest that the multiplex representation captures better earthquake activity than methods based on single layer networks. We also verify that the regions with highest seismological activities in Iran and California can be identified from the network centrality analysis. The temporal modeling of seismic data provided here may open new possibilities for a better comprehension of the physics of earthquakes.

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

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

Considerations regarding tax optimization in implanted multinational enterprises through external growth for the automobile industry in Central Eastern Europe

Directory of Open Access Journals (Sweden)

Nitu Antonie Renata

2008-04-01

Full Text Available The business strategy of multinational enterprises (MNEs from the automobile industry implanted in Central-Eastern European (CEE countries (Poland, Czech Republic and Romania is an offensive one, global from operational perspective. Mainly it aims the extension of market share through horizontal growth, generally external type single-domain (Mergers and Acquisitions and internal type (Greenfield investments in a lower degree. These enterprises put in practice also a defending strategy for the owned market shares through increasing the efficiency of the production network at global level. This paper aims to present the less evident aspects of tax optimization of the applied business strategy by implemented MNEs in the automobile industry in CEE, and in this context, the necessity to establish transfer prices in accordance with the OECD recommendations, as an obligation assessed by the tax legislations of the considered countries, but also from the necessity of efficient run of these enterprises.

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.

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...

Connecting to Regional Markets?

DEFF Research Database (Denmark)

Coulibaly, Souleymane; Thomsen, Lotte

2016-01-01

Central Asian food processors face a number of constraints when they attempt to export to the region and beyond. The Central Asian economies in focus here are landlocked, and thus lack easy access to sea transport. In addition, the region's transport network was built to reinforce the interdepend......Central Asian food processors face a number of constraints when they attempt to export to the region and beyond. The Central Asian economies in focus here are landlocked, and thus lack easy access to sea transport. In addition, the region's transport network was built to reinforce...... the interdependence of the then Soviet republics, while conflicting economic interests make cross-border cooperation difficult. Based on extensive fieldwork on infrastructure systems and firm export strategies, this paper identifies contemporary infrastructure and transportation issues within the Central Asian region...

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.

Sundhedskonsekvensvurdering i danske kommuner og regioner

DEFF Research Database (Denmark)

Fredsgaard, Mette Winge

2010-01-01

Cities Network towards the development and strengthening of the HIA-methodology in Denmark. The Danish Healthy Cities Network is granted money to carry out the first part of the project ‛Health impact assessment in Danish municipalities and regions’, which main objective is to increase the capacity...... of the Healthy Cities Network (HCN), 29 municipalities outside the Healthy Cities Network (non-members - NM) and the 5 regions in Denmark. Where needed, elaborating telephone conversations with the relevant public officials were performed. The survey received a response rate of 72.5 % from the municipalities...... of the Healthy Cities Network, (52), 44.8 % from non-members (13) and 100 % from the regions. The results of the survey indicate a wide knowledge of the concept of health impact assessment both by the municipalities (88.6 % for HCN and 69.2 % for NM) and the regions (100 %). On the other hand only 16 out of 98...

Comprehensive Assessment of Industries Economic Security: Regional Aspect

Directory of Open Access Journals (Sweden)

Viktoriya Viktorovna Akberdina

2017-12-01

Full Text Available The article investigates the interaction of the forms of network integration and the development of complimentary production networks in terms of economic security. Currently, the most developed countries are occurring a transition from the industrial society to the information society. The industry 4.0 as the continuous communication at all levels and characterizes the production processes, in which technologies and devices interact automatically in the value-added chain. Under these new conditions, the former types of organizational structures of economic entities are not sufficiently effective. Therefore, there is a need to create new, modern types of organizational structures. One of these types is network structures. Currently, they are becoming characteristic features of the new economy. Regional economic security depends on internal and external threats, which lead to unstable situations. Regional crisis situations are influenced by both macroeconomic crisis processes and local features of economic and social development, as well as the resource potential, geographical location, national and other peculiarities. The article defines the specific characteristics of the regions of the Ural Federal District, as well as the current situation of the regional economy and threats to the region. The authors have evaluated the economic security of complimentary production networks at the regional level. This evaluation has revealed the interconnection between complimentary production networks and the construction industry in the national economy. We have defined the economic security of complimentary production networks and specified the concept of complimentary production networks. The research findings may be applied by organizations as a new perspective of industry using network forms related to economic security

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

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

The sexual attitudes and lifestyles of London's Eastern Europeans (SALLEE Project: design and methods

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French Rebecca S

2009-10-01

Full Text Available Abstract Background Since May 2004, ten Central and Eastern European (CEE countries have joined the European Union, leading to a large influx of CEE migrants to the United Kingdom (UK. The SALLEE project (sexual attitudes and lifestyles of London's Eastern Europeans set out to establish an understanding of the sexual lifestyles and reproductive health risks of CEE migrants. CEE nationals make up a small minority of the population resident in the UK with no sampling frame from which to select a probability sample. There is also difficulty estimating the socio-demographic and geographical distribution of the population. In addition, measuring self-reported sexual behaviour which is generally found to be problematic, may be compounded among people from a range of different cultural and linguistic backgrounds. This paper will describe the methods adopted by the SALLEE project to address these challenges. Methods The research was undertaken using quantitative and qualitative methods: a cross-sectional survey of CEE migrants based on three convenience samples (recruited from community venues, sexual health clinics and from the Internet and semi-structured in-depth interviews with a purposively selected sample of CEE migrants. A detailed social mapping exercise of the CEE community was conducted prior to commencement of the survey to identify places where CEE migrants could be recruited. A total of 3,005 respondents took part in the cross-sectional survey, including 2,276 respondents in the community sample, 357 in the clinic sample and 372 in the Internet sample. 40 in-depth qualitative interviews were undertaken with a range of individuals, as determined by the interview quota matrix. Discussion The SALLEE project has benefited from using quantitative research to provide generalisable data on a range of variables and qualitative research to add in-depth understanding and interpretation. The social mapping exercise successfully located a large number

[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.

Activation of the chemosensing transient receptor potential channel A1 (TRPA1) by alkylating agents.

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Stenger, Bernhard; Zehfuss, Franziska; Mückter, Harald; Schmidt, Annette; Balszuweit, Frank; Schäfer, Eva; Büch, Thomas; Gudermann, Thomas; Thiermann, Horst; Steinritz, Dirk

2015-09-01

The transient receptor potential ankyrin 1 (TRPA1) cation channel is expressed in different tissues including skin, lung and neuronal tissue. Recent reports identified TRPA1 as a sensor for noxious substances, implicating a functional role in the molecular toxicology. TRPA1 is activated by various potentially harmful electrophilic substances. The chemical warfare agent sulfur mustard (SM) is a highly reactive alkylating agent that binds to numerous biological targets. Although SM is known for almost 200 years, detailed knowledge about the pathophysiology resulting from exposure is lacking. A specific therapy is not available. In this study, we investigated whether the alkylating agent 2-chloroethyl-ethylsulfide (CEES, a model substance for SM-promoted effects) and SM are able to activate TRPA1 channels. CEES induced a marked increase in the intracellular calcium concentration ([Ca(2+)]i) in TRPA1-expressing but not in TRPA1-negative cells. The TRP-channel blocker AP18 diminished the CEES-induced calcium influx. HEK293 cells permanently expressing TRPA1 were more sensitive toward cytotoxic effects of CEES compared with wild-type cells. At low CEES concentrations, CEES-induced cytotoxicity was prevented by AP18. Proof-of-concept experiments using SM resulted in a pronounced increase in [Ca(2+)]i in HEK293-A1-E cells. Human A549 lung epithelial cells, which express TRPA1 endogenously, reacted with a transient calcium influx in response to CEES exposure. The CEES-dependent calcium response was diminished by AP18. In summary, our results demonstrate that alkylating agents are able to activate TRPA1. Inhibition of TRPA1 counteracted cellular toxicity and could thus represent a feasible approach to mitigate SM-induced cell damage.

IMPACT OF GLOBAL RETAILERS ON REGIONAL MARKET PARTICIPANTS

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A. A. Evtyugina

2010-06-01

Full Text Available The given article is focused on a topical subject of global trade networks and the current trends of their development on a regional retail market. The authors believe that deep integration of international networks in the regions significantly increases the competition among network operators in the trade sector and creates a certain challenge for Russian retailers, and require introduction of innovative management techniques, automation of operational processes, expansion of assortment, better service, lower prices, etc. Research and assessment of the parameters given in the article help verifying an effect of international networks on the development process of regional market participants.

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

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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.

ESTABLISHING THE PAN-EURASIAN EXPERIMENT (PEEX LAND-ATMOSPHERE IN SITU OBSERVATION NETWORK ACROSS THE NORTHERN EURASIAN ARCTIC-BOREAL REGIONS ‒ INTRODUCTION TO THE RUSSIAN STATIONS’ METADATA ENQUIRY

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H. K. Lappalainen

2017-01-01

Full Text Available Pan-Eurasian Experiment (PEEX initiative (https://www.atm.helsinki.fi/peex/, initiated in 2012, is an international, multidisciplinary, multiscale program focused on solving interlinked global challenges influencing societies in the Northern Eurasian region and in China. As a part of the program, PEEX is aimed to establish an in situ observation network, which would cover environments from the Arctic coastal regions, tundra to boreal forests, from pristine to urban megacities. The PEEX network will be based on two components: (i the existing stations activities and (ii establishing new stations. The upgrading plans of the existing stations as well as the new stations will be based on a SMEAR (Stations for Measuring Earth surface ‒ Atmosphere Relations concept. The development of the coordinated, comprehensive PEEX observation network is contributing to the sustainable development of the Northern Eurasian regions. It is aimed at providing quantified information on climate relevant variables for the research communities and for constructing services, such as early warning systems, for the society.

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.

Default network connectivity during a working memory task.

Science.gov (United States)

Bluhm, Robyn L; Clark, C Richard; McFarlane, Alexander C; Moores, Kathryn A; Shaw, Marnie E; Lanius, Ruth A

2011-07-01

The default network exhibits correlated activity at rest and has shown decreased activation during performance of cognitive tasks. There has been little investigation of changes in connectivity of this network during task performance. In this study, we examined task-related modulation of connectivity between two seed regions from the default network posterior cingulated cortex (PCC) and medial prefrontal cortex (mPFC) and the rest of the brain in 12 healthy adults. The purpose was to determine (1) whether connectivity within the default network differs between a resting state and performance of a cognitive (working memory) task and (2) whether connectivity differs between these nodes of the default network and other brain regions, particularly those implicated in cognitive tasks. There was little change in connectivity with the other main areas of the default network for either seed region, but moderate task-related changes in connectivity occurred between seed regions and regions outside the default network. For example, connectivity of the mPFC with the right insula and the right superior frontal gyrus decreased during task performance. Increased connectivity during the working memory task occurred between the PCC and bilateral inferior frontal gyri, and between the mPFC and the left inferior frontal gyrus, cuneus, superior parietal lobule, middle temporal gyrus and cerebellum. Overall, the areas showing greater correlation with the default network seed regions during task than at rest have been previously implicated in working memory tasks. These changes may reflect a decrease in the negative correlations occurring between the default and task-positive networks at rest. Copyright © 2010 Wiley-Liss, Inc.

Role of reactive nitrogen species generated via inducible nitric oxide synthase in vesicant-induced lung injury, inflammation and altered lung functioning

Energy Technology Data Exchange (ETDEWEB)

Sunil, Vasanthi R., E-mail: sunilvr@eohsi.rutgers.edu [Department of Pharmacology and Toxicology, Rutgers University, Ernest Mario School of Pharmacy Piscataway, NJ (United States); Shen, Jianliang; Patel-Vayas, Kinal; Gow, Andrew J. [Department of Pharmacology and Toxicology, Rutgers University, Ernest Mario School of Pharmacy Piscataway, NJ (United States); Laskin, Jeffrey D. [Department of Environmental and Occupational Medicine, University of Medicine and Dentistry of New Jersey, Robert Wood Johnson Medical School, Piscataway, NJ (United States); Laskin, Debra L. [Department of Pharmacology and Toxicology, Rutgers University, Ernest Mario School of Pharmacy Piscataway, NJ (United States)

2012-05-15

Pulmonary toxicity induced by sulfur mustard and related vesicants is associated with oxidative stress. In the present studies we analyzed the role of reactive nitrogen species (RNS) generated via inducible nitric oxide synthase (iNOS) in lung injury and inflammation induced by vesicants using 2-chloroethyl ethyl sulfide (CEES) as a model. C57Bl/6 (WT) and iNOS −/− mice were sacrificed 3 days or 14 days following intratracheal administration of CEES (6 mg/kg) or control. CEES intoxication resulted in transient (3 days) increases in bronchoalveolar lavage (BAL) cell and protein content in WT, but not iNOS −/− mice. This correlated with expression of Ym1, a marker of oxidative stress in alveolar macrophages and epithelial cells. In contrast, in iNOS −/− mice, Ym1 was only observed 14 days post-exposure in enlarged alveolar macrophages, suggesting that they are alternatively activated. This is supported by findings that lung tumor necrosis factor and lipocalin Lcn2 expression, mediators involved in tissue repair were also upregulated at this time in iNOS −/− mice. Conversely, CEES-induced increases in the proinflammatory genes, monocyte chemotactic protein-1 and cyclooxygenase-2, were abrogated in iNOS −/− mice. In WT mice, CEES treatment also resulted in increases in total lung resistance and decreases in compliance in response to methacholine, effects blunted by loss of iNOS. These data demonstrate that RNS, generated via iNOS play a role in the pathogenic responses to CEES, augmenting oxidative stress and inflammation and suppressing tissue repair. Elucidating inflammatory mechanisms mediating vesicant-induced lung injury is key to the development of therapeutics to treat mustard poisoning. -- Highlights: ► Lung injury, inflammation and oxidative stress are induced by the model vesicant CEES ► RNS generated via iNOS are important in the CEES-induced pulmonary toxicity ► iNOS −/− mice are protected from CEES-induced lung toxicity and

Financing energy investments in the economies in transition

International Nuclear Information System (INIS)

Brendow, C.

1997-01-01

This report is the part concerning Central and Eastern Europe (CEE) and the Commonwealth of Independent States (CIS) of the World Energy Council (WEC) Programme - a global study of the financing requirements of future energy developments. The investment needs are determined to reach the standards of developed energy market economies in terms of quality of service, efficiency, profitability, environmental protection and safety. Considering the macro-economic and general energy development scenarios done by IIASA and WEC the cumulative investment requirements 1990-2020 would be to range from $281bill. to $509 bill. in CEE; annual investment requirements would amount to $15-28 bill. depending on the scenarios; specific investment requirements per ton energy would range from 77 (ecologically driven scenario) to $101 (high growth, coal based scenario). In 1994 international finance for CEE/CIS energy sector was only $5 bill. (or 5% of the needs) due to the small size of the projects, low energy prices and the lack of incentives. CEE/CIS countries have not done enough to attract foreign loans. Western energy corporations acquired shares of Russian oil and gas companies. Reasons for the slow start include currency risk, legal uncertainty, uncertain demand prospects, low electricity tariffs, required rate of returns - above 18% in CEE, 25% in CIS, compared to 10% in US and UK. About 9% of total world foreign direct investments have been entered in energy sector. Multilateral organizations have invested yearly average $0.8-1 bill. grants and credits in CEE/CIS energy activities. From 1991 to 1995 135 mill. ECU have been spent for supporting national energy sector in CEE countries under PHARE activities. Difficulties are due to the lack of developed capital markets in these countries. In the future CEE capital markets could support a substantial proportion of the national investment requirements. By 2020 capital requirements for energy supply investments would be 3.4-4.7% of

Fertility and Family Policies in Central and Eastern Europe after 1990

Directory of Open Access Journals (Sweden)

Tomas Frejka

2016-06-01

For the first time ever an overview and analysis of CEE family policies is conceptualized in this paper. It demonstrates that fertility trends and family policies are a matter of serious concern throughout the region. The following family policy types have been identified: comprehensive family policy model; pro-natalist policies model; temporary male bread-winner model; and conventional family policies model. The majority of family policies in CEE countries suffer from a variety of shortcomings that impede them from generating enhanced family welfare and from providing conditions for cohort fertility to increase. The likely further decline of cohort fertility, or its stagnation, may entail long-term demographic as well as other societal consequences, such as continuous declines in total population numbers, changes in age structures, as well as implications for health and social security costs.

Foreign Direct Investment and Government Policy in Central and Eastern Europe

DEFF Research Database (Denmark)

Meyer, Klaus E.; Jensen, Camilla

2004-01-01

The 1990s have been a period of extraordinary politics in Central and Eastern Europe (CEE). This chapter discusses how the transition from state to market has created bureaucratic barriers to entry, but also windows of opportunity for foreign direct investment (FDI). The high costs and high...... investment risks associated with FDI in CEE are a reflection the institutional development. Thus, inflows of FDI have been largest in those countries that made most progress in establishing a market-oriented institutional framework. After outlining trends of institutional change and their impact on FDI......, this chapter discusses how aspects of the institutional framework and FDI policy affect diverse types of investment projects. Acquisition and Greenfield investors are concerned with different aspects of government policy: privatization and regulatory policies for acquirers and investment incentives, regional...

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.

Task vs. rest-different network configurations between the coactivation and the resting-state brain networks.

Science.gov (United States)

Di, Xin; Gohel, Suril; Kim, Eun H; Biswal, Bharat B

2013-01-01

There is a growing interest in studies of human brain networks using resting-state functional magnetic resonance imaging (fMRI). However, it is unclear whether and how brain networks measured during the resting-state exhibit comparable properties to brain networks during task performance. In the present study, we investigated meta-analytic coactivation patterns among brain regions based upon published neuroimaging studies, and compared the coactivation network configurations with those in the resting-state network. The strength of resting-state functional connectivity between two regions were strongly correlated with the coactivation strength. However, the coactivation network showed greater global efficiency, smaller mean clustering coefficient, and lower modularity compared with the resting-state network, which suggest a more efficient global information transmission and between system integrations during task performing. Hub shifts were also observed within the thalamus and the left inferior temporal cortex. The thalamus and the left inferior temporal cortex exhibited higher and lower degrees, respectively in the coactivation network compared with the resting-state network. These results shed light regarding the reconfiguration of the brain networks between task and resting-state conditions, and highlight the role of the thalamus in change of network configurations in task vs. rest.

Extending Resolution of Fault Slip With Geodetic Networks Through Optimal Network Design

Science.gov (United States)

Sathiakumar, Sharadha; Barbot, Sylvain Denis; Agram, Piyush

2017-12-01

Geodetic networks consisting of high precision and high rate Global Navigation Satellite Systems (GNSS) stations continuously monitor seismically active regions of the world. These networks measure surface displacements and the amount of geodetic strain accumulated in the region and give insight into the seismic potential. SuGar (Sumatra GPS Array) in Sumatra, GEONET (GNSS Earth Observation Network System) in Japan, and PBO (Plate Boundary Observatory) in California are some examples of established networks around the world that are constantly expanding with the addition of new stations to improve the quality of measurements. However, installing new stations to existing networks is tedious and expensive. Therefore, it is important to choose suitable locations for new stations to increase the precision obtained in measuring the geophysical parameters of interest. Here we describe a methodology to design optimal geodetic networks that augment the existing system and use it to investigate seismo-tectonics at convergent and transform boundaries considering land-based and seafloor geodesy. The proposed network design optimization would be pivotal to better understand seismic and tsunami hazards around the world. Land-based and seafloor networks can monitor fault slip around subduction zones with significant resolution, but transform faults are more challenging to monitor due to their near-vertical geometry.

[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.

Prospective study related to the evolution of energy distribution networks. Needs of evolution of technical and organisational models of energy distribution networks with respect to energy transition scenarios in the Provence-Alpes-Cote d'Azur region. Part 1 - Hypotheses and perspectives, Part 2 - Needs of network evolution. Study related to the impact of the electric vehicle and of photovoltaic production on electric distribution networks - Case study for Provence-Alpes-Cote d'Azur

International Nuclear Information System (INIS)

Dauphin, Francois; Fontaine, Frederick

2013-02-01

The first part of this document aims at presenting perspectives of emergence of new energy production, consumption and storage sources, and their impacts on energy (electricity, gas, heat) distribution and transport networks. It is based on two scenarios: the regional climate-air-energy scheme, and the regional Negawatt scenario. The objective was to select a limited number of aspects: solutions enabling an optimal injection of biogas produced in the concerned region, development of photovoltaic energy and electric vehicles and their impact on the balance of medium-voltage and low-voltage networks, and smart grid technologies and their possible impact on the optimisation of electric network management. The second part reports the detailed study of these issues. It more particularly addresses technical impacts of different sectors on electric and gas networks in Provence-Alpes-Cote d'Azur, technical, economic and organisational assets of smart grid technologies, investments policies and implementation planning, and resulting evolutions for energy markets. Related documents published by ERDF and GrDF are provided

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

Spatial Epidemic Modelling in Social Networks

Science.gov (United States)

Simoes, Joana Margarida

2005-06-01

The spread of infectious diseases is highly influenced by the structure of the underlying social network. The target of this study is not the network of acquaintances, but the social mobility network: the daily movement of people between locations, in regions. It was already shown that this kind of network exhibits small world characteristics. The model developed is agent based (ABM) and comprehends a movement model and a infection model. In the movement model, some assumptions are made about its structure and the daily movement is decomposed into four types: neighborhood, intra region, inter region and random. The model is Geographical Information Systems (GIS) based, and uses real data to define its geometry. Because it is a vector model, some optimization techniques were used to increase its efficiency.

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.

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

Default Mode Network Connectivity in Stroke Patients.

Science.gov (United States)

Tuladhar, Anil Man; Snaphaan, Liselore; Shumskaya, Elena; Rijpkema, Mark; Fernandez, Guillén; Norris, David G; de Leeuw, Frank-Erik

2013-01-01

The pathophysiology of episodic memory dysfunction after infarction is not completely understood. It has been suggested that infarctions located anywhere in the brain can induce widespread effects causing disruption of functional networks of the cortical regions. The default mode network, which includes the medial temporal lobe, is a functional network that is associated with episodic memory processing. We investigated whether the default mode network activity is reduced in stroke patients compared to healthy control subjects in the resting state condition. We assessed the whole brain network properties during resting state functional MRI in 21 control subjects and 20 'first-ever' stroke patients. Patients were scanned 9-12 weeks after stroke onset. Stroke lesions were located in various parts of the brain. Independent component analyses were conducted to identify the default mode network and to compare the group differences of the default mode network. Furthermore, region-of-interest based analysis was performed to explore the functional connectivity between the regions of the default mode network. Stroke patients performed significantly worse than control subjects on the delayed recall score on California verbal learning test. We found decreased functional connectivity in the left medial temporal lobe, posterior cingulate and medial prefrontal cortical areas within the default mode network and reduced functional connectivity between these regions in stroke patients compared with controls. There were no significant volumetric differences between the groups. These results demonstrate that connectivity within the default mode network is reduced in 'first-ever' stroke patients compared to control subjects. This phenomenon might explain the occurrence of post-stroke cognitive dysfunction in stroke patients.

Lateralization of Resting State Networks and Relationship to Age and Gender

Science.gov (United States)

Agcaoglu, O.; Miller, R.; Mayer, A.R.; Hugdahl, K.; Calhoun, V.D.

2014-01-01

Brain lateralization is a widely studied topic, however there has been little work focused on lateralization of intrinsic networks (regions showing similar patterns of covariation among voxels) in the resting brain. In this study, we evaluate resting state network lateralization in an age and gender-balanced functional magnetic resonance imaging (fMRI) dataset comprising over 600 healthy subjects ranging in age from 12 to 71. After establishing sample-wide network lateralization properties, we continue with an investigation of age and gender effects on network lateralization. All data was gathered on the same scanner and preprocessed using an automated pipeline (Scott et al., 2011). Networks were extracted via group independent component analysis (gICA) (Calhoun, Adali, Pearlson, & Pekar, 2001). Twenty-eight resting state networks discussed in previous (Allen et al., 2011) work were re-analyzed with a focus on lateralization. We calculated homotopic voxelwise measures of laterality in addition to a global lateralization measure, called the laterality cofactor, for each network. As expected, many of the intrinsic brain networks were lateralized. For example, the visual network was strongly right lateralized, auditory network and default mode networks were mostly left lateralized. Attentional and frontal networks included nodes that were left lateralized and other nodes that were right lateralized. Age was strongly related to lateralization in multiple regions including sensorimotor network regions precentral gyrus, postcentral gyrus and supramarginal gyrus; and visual network regions lingual gyrus; attentional network regions inferior parietal lobule, superior parietal lobule and middle temporal gyrus; and frontal network regions including the inferior frontal gyrus. Gender showed significant effects mainly in two regions, including visual and frontal networks. For example, the inferior frontal gyrus was more right lateralized in males. Significant effects of age

Lateralization of resting state networks and relationship to age and gender.

Science.gov (United States)

Agcaoglu, O; Miller, R; Mayer, A R; Hugdahl, K; Calhoun, V D

2015-01-01

Brain lateralization is a widely studied topic, however there has been little work focused on lateralization of intrinsic networks (regions showing similar patterns of covariation among voxels) in the resting brain. In this study, we evaluate resting state network lateralization in an age and gender-balanced functional magnetic resonance imaging (fMRI) dataset comprising over 600 healthy subjects ranging in age from 12 to 71. After establishing sample-wide network lateralization properties, we continue with an investigation of age and gender effects on network lateralization. All data was gathered on the same scanner and preprocessed using an automated pipeline (Scott et al., 2011). Networks were extracted via group independent component analysis (gICA) (Calhoun et al., 2001). Twenty-eight resting state networks discussed in previous (Allen et al., 2011) work were re-analyzed with a focus on lateralization. We calculated homotopic voxelwise measures of laterality in addition to a global lateralization measure, called the laterality cofactor, for each network. As expected, many of the intrinsic brain networks were lateralized. For example, the visual network was strongly right lateralized, auditory network and default mode networks were mostly left lateralized. Attentional and frontal networks included nodes that were left lateralized and other nodes that were right lateralized. Age was strongly related to lateralization in multiple regions including sensorimotor network regions precentral gyrus, postcentral gyrus and supramarginal gyrus; and visual network regions lingual gyrus; attentional network regions inferior parietal lobule, superior parietal lobule and middle temporal gyrus; and frontal network regions including the inferior frontal gyrus. Gender showed significant effects mainly in two regions, including visual and frontal networks. For example, the inferior frontal gyrus was more right lateralized in males. Significant effects of age were found in

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.

Default network connectivity in medial temporal lobe amnesia.

Science.gov (United States)

Hayes, Scott M; Salat, David H; Verfaellie, Mieke

2012-10-17

There is substantial overlap between the brain regions supporting episodic memory and the default network. However, in humans, the impact of bilateral medial temporal lobe (MTL) damage on a large-scale neural network such as the default mode network is unknown. To examine this issue, resting fMRI was performed with amnesic patients and control participants. Seed-based functional connectivity analyses revealed robust default network connectivity in amnesia in cortical default network regions such as medial prefrontal cortex, posterior medial cortex, and lateral parietal cortex, as well as evidence of connectivity to residual MTL tissue. Relative to control participants, decreased posterior cingulate cortex connectivity to MTL and increased connectivity to cortical default network regions including lateral parietal and medial prefrontal cortex were observed in amnesic patients. In contrast, somatomotor network connectivity was intact in amnesic patients, indicating that bilateral MTL lesions may selectively impact the default network. Changes in default network connectivity in amnesia were largely restricted to the MTL subsystem, providing preliminary support from MTL amnesic patients that the default network can be fractionated into functionally and structurally distinct components. To our knowledge, this is the first examination of the default network in amnesia.

Multitask Learning-Based Security Event Forecast Methods for Wireless Sensor Networks