WorldWideScience

Sample records for research training networks

  1. [Training of institutional research networks as a strategy of improvement].

    Science.gov (United States)

    Galván-Plata, María Eugenia; Almeida-Gutiérrez, Eduardo; Salamanca-Gómez, Fabio Abdel

    2017-01-01

    The Instituto Mexicano del Seguro Social (IMSS) through the Coordinación de Investigación en Salud (Health Research Council) has promoted a strong link between the generation of scientific knowledge and the clinical care through the program Redes Institucionales de Investigación (Institutional Research Network Program), whose main aim is to promote and generate collaborative research between clinical, basic, epidemiologic, educational, economic and health services researchers, seeking direct benefits for patients, as well as to generate a positive impact on institutional processes. All of these research lines have focused on high-priority health issues in Mexico. The IMSS internal structure, as well as the sufficient health services coverage, allows the integration of researchers at the three levels of health care into these networks. A few years after their creation, these networks have already generated significant results, and these are currently applied in the institutional regulations in diseases that represent a high burden to health care. Two examples are the National Health Care Program for Patients with Acute Myocardial Infarction "Código Infarto", and the Early Detection Program on Chronic Kidney Disease; another result is the generation of multiple scientific publications, and the promotion of training of human resources in research from the same members of our Research Networks. There is no doubt that the Coordinación de Investigación en Salud advances steadily implementing the translational research, which will keep being fruitful to the benefit of our patients, and of our own institution.

  2. Positive train control interoperability and networking research : final report.

    Science.gov (United States)

    2015-12-01

    This document describes the initial development of an ITC PTC Shared Network (IPSN), a hosted : environment to support the distribution, configuration management, and IT governance of Interoperable : Train Control (ITC) Positive Train Control (PTC) s...

  3. GMES Initial Operations - Network for Earth Observation Research Training (GIONET)

    Science.gov (United States)

    Nicolas-Perea, V.; Balzter, H.

    2012-12-01

    GMES Initial Operations - Network for Earth Observation Research Training (GIONET) is a Marie Curie funded project that aims to establish the first of a kind European Centre of Excellence for Earth Observation Research Training. GIONET is a partnership of leading Universities, research institutes and private companies from across Europe aiming to cultivate a community of early stage researchers in the areas of optical and radar remote sensing skilled for the emerging GMES land monitoring services during the GMES Initial Operations period (2011-2013) and beyond. GIONET is expected to satisfy the demand for highly skilled researchers and provide personnel for operational phase of the GMES and monitoring and emergency services. It will achieve this by: -Providing postgraduate training in Earth Observation Science that exposes students to different research disciplines and complementary skills, providing work experiences in the private and academic sectors, and leading to a recognized qualification (Doctorate). -Enabling access to first class training in both fundamental and applied research skills to early-stage researchers at world-class academic centers and market leaders in the private sector. -Building on the experience from previous GMES research and development projects in the land monitoring and emergency information services. The training program through supervised research focuses on 14 research topics (each carried out by an Early Stage Researchers based in one of the partner organization) divided in 5 main areas: Forest monitoring: Global biomass information systems Forest Monitoring of the Congo Basin using Synthetic Aperture radar (SAR) Multi-concept Earth Observation Capabilities for Biomass Mapping and Change Detection: Synergy of Multi-temporal and Multi-frequency Interferometric Radar and Optical Satellite Data Land cover and change: Multi-scale Remote Sensing Synergy for Land Process Studies: from field Spectrometry to Airborne Hyperspectral and

  4. GIONET (GMES Initial Operations Network for Earth Observation Research Training)

    Science.gov (United States)

    Nicolas, V.; Balzter, H.

    2013-12-01

    GMES Initial Operations - Network for Earth Observation Research Training (GIONET) is a Marie Curie funded project that aims to establish the first of a kind European Centre of Excellence for Earth Observation Research Training. Copernicus (previously known as GMES (Global Monitoring for Environment and Security) is a joint undertaking of the European Space Agency and the European Commission. It develops fully operational Earth Observation monitoring services for a community of end users from the public and private sector. The first services that are considered fully operational are the land monitoring and emergency monitoring core services. In GIONET, 14 early stage researchers are being trained at PhD level in understanding the complex physical processes that determine how electromagnetic radiation interacts with the atmosphere and the land surface ultimately form the signal received by a satellite. In order to achieve this, the researchers are based in industry and universities across Europe, as well as receiving the best technical training and scientific education. The training programme through supervised research focuses on 14 research topics. Each topic is carried out by an Early Stage Researcher based in one of the partner organisations and is expected to lead to a PhD degree. The 14 topics are grouped in 5 research themes: Forest monitoring Land cover and change Coastal zone and freshwater monitoring Geohazards and emergency response Climate adaptation and emergency response The methods developed and used in GIONET are as diverse as its research topics. GIONET has already held two summer schools; one at Friedrich Schiller University in Jena (Germany), on 'New operational radar satellite applications: Introduction to SAR, Interferometry and Polarimetry for Land Surface Mapping'. The 2nd summer school took place last September at the University of Leicester (UK )on 'Remote sensing of land cover and forest in GMES'. The next Summer School in September 2013

  5. Asia-Pacific Research and Training Network on Trade (ARTNET ...

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

    During the first phase of support (102568), the Network produced a number of high quality trade policy studies, disseminated the results to policymakers and increased the capacity of research institutions - notably those in the least developed countries - to conduct trade policy ... Agent(e) responsable du CRDI. Due, Evan ...

  6. Training and development through the IAEA's global research network

    International Nuclear Information System (INIS)

    Benson, T.

    1988-01-01

    The Agency's research contract programme stimulates and co-ordinates the undertaking of research, in selected nuclear fields of interest, by scientists in IAEA Member States. Benefits of the research contract programme can be direct or indirect. Direct benefits include increased scientific knowledge in a specific field and case-by-case application of this knowledge. Indirect benefits include the training effects - what participants in the programme learn via work carried out under the contract or at regularly held RCMs. The educational effect of CRPs is substantial as many institutes, guided by Agency scientific staff, learn how to conduct research without assistance. Unanticipated spin-off benefits can also result from a CRP through information exchanges at RCMs that stimulate ideas for other research programmes or methods of research

  7. What Influences Transfer of Training in an African Agricultural Research Network?

    Science.gov (United States)

    Muthoni, Rachel Andriatsitohaina; Miiro, Richard Fred

    2017-01-01

    Purpose: This study determined the extent to which transfer of training among trainees from national partners of an international bean research network in Africa was perceived to have taken place; including determining the factors that predicted transfer of training back to the job. Methodology/approach: Online data collection using the Learning…

  8. Asia-Pacific Research and Training Network on Trade (ARTNET ...

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

    During Phase II, ARTNET will continue its training and capacity building efforts, focusing on trade facilitation, preferential trade agreements (PTAs) and other trade agreements. Given the complexity of the trade and investment environment in the region, ARTNET will explore the interaction between trade, investment, ...

  9. MO-DE-BRA-04: The CREATE Medical Physics Research Training Network: Training of New Generation Innovators

    International Nuclear Information System (INIS)

    Seuntjens, J; Collins, L; Devic, S; El Naqa, I; Nadeau, J; Reader, A; Beaulieu, L; Despres, P; Pike, B

    2015-01-01

    Purpose: Over the past century, physicists have played a major role in transforming scientific discovery into everyday clinical applications. However, with the increasingly stringent requirements to regulate medical physics as a health profession, the role of physicists as scientists and innovators has become at serious risk of erosion. These challenges trigger the need for a new, revolutionized training program at the graduate level that respects scientific rigor, attention for medical physics-relevant developments in basic sciences, innovation and entrepreneurship. Methods: A grant proposal was funded by the Collaborative REsearch and Training Experience program (CREATE) of the Natural Sciences and Engineering Research Council (NSERC) of Canada. This enabled the creation of the Medical Physics Research Training Network (MPRTN) around two CAMPEP-accredited medical physics programs. Members of the network consist of medical device companies, government (research and regulatory) and academia. The MPRTN/CREATE program proposes a curriculum with three main themes: (1) radiation physics, (2) imaging & image processing and (3) radiation response, outcomes and modeling. Results: The MPRTN was created mid 2013 (mprtn.com) and features (1) four new basic Ph.D. courses; (2) industry participation in research projects; (3) formal job-readiness training with involvement of guest faculty from academia, government and industry. MPRTN activities since 2013 include 22 conferences; 7 workshops and 4 exchange travels. Three patents were filed or issued, nine awards/best papers were won. Fifteen journal publications were accepted/published, 102 conference abstracts. There are now 13 industry partners. Conclusion: A medical physics research training network has been set up with the goal to harness graduate student’s job-readiness for industry, government and academia in addition to the conventional clinical role. Two years after inception, significant successes have been booked

  10. MO-DE-BRA-04: The CREATE Medical Physics Research Training Network: Training of New Generation Innovators

    Energy Technology Data Exchange (ETDEWEB)

    Seuntjens, J; Collins, L; Devic, S; El Naqa, I; Nadeau, J; Reader, A [McGill University, Montreal, QC (Canada); Beaulieu, L; Despres, P [Centre Hospitalier Univ de Quebec, Quebec, QC (Canada); Pike, B [University of Calgary, Calgary, Alberta (Canada)

    2015-06-15

    Purpose: Over the past century, physicists have played a major role in transforming scientific discovery into everyday clinical applications. However, with the increasingly stringent requirements to regulate medical physics as a health profession, the role of physicists as scientists and innovators has become at serious risk of erosion. These challenges trigger the need for a new, revolutionized training program at the graduate level that respects scientific rigor, attention for medical physics-relevant developments in basic sciences, innovation and entrepreneurship. Methods: A grant proposal was funded by the Collaborative REsearch and Training Experience program (CREATE) of the Natural Sciences and Engineering Research Council (NSERC) of Canada. This enabled the creation of the Medical Physics Research Training Network (MPRTN) around two CAMPEP-accredited medical physics programs. Members of the network consist of medical device companies, government (research and regulatory) and academia. The MPRTN/CREATE program proposes a curriculum with three main themes: (1) radiation physics, (2) imaging & image processing and (3) radiation response, outcomes and modeling. Results: The MPRTN was created mid 2013 (mprtn.com) and features (1) four new basic Ph.D. courses; (2) industry participation in research projects; (3) formal job-readiness training with involvement of guest faculty from academia, government and industry. MPRTN activities since 2013 include 22 conferences; 7 workshops and 4 exchange travels. Three patents were filed or issued, nine awards/best papers were won. Fifteen journal publications were accepted/published, 102 conference abstracts. There are now 13 industry partners. Conclusion: A medical physics research training network has been set up with the goal to harness graduate student’s job-readiness for industry, government and academia in addition to the conventional clinical role. Two years after inception, significant successes have been booked

  11. Networking among young global health researchers through an intensive training approach: a mixed methods exploratory study.

    Science.gov (United States)

    Lenters, Lindsey M; Cole, Donald C; Godoy-Ruiz, Paula

    2014-01-25

    Networks are increasingly regarded as essential in health research aimed at influencing practice and policies. Less research has focused on the role networking can play in researchers' careers and its broader impacts on capacity strengthening in health research. We used the Canadian Coalition for Global Health Research (CCGHR) annual Summer Institute for New Global Health Researchers (SIs) as an opportunity to explore networking among new global health researchers. A mixed-methods exploratory study was conducted among SI alumni and facilitators who had participated in at least one SI between 2004 and 2010. Alumni and facilitators completed an online short questionnaire, and a subset participated in an in-depth interview. Thematic analysis of the qualitative data was triangulated with quantitative results and CCGHR reports on SIs. Synthesis occurred through the development of a process model relevant to networking through the SIs. Through networking at the SIs, participants experienced decreased isolation and strengthened working relationships. Participants accessed new knowledge, opportunities, and resources through networking during the SI. Post-SI, participants reported ongoing contact and collaboration, although most participants desired more opportunities for interaction. They made suggestions for structural supports to networking among new global health researchers. Networking at the SI contributed positively to opportunities for individuals, and contributed to the formation of a network of global health researchers. Intentional inclusion of networking in health research capacity strengthening initiatives, with supportive resources and infrastructure could create dynamic, sustainable networks accessible to global health researchers around the world.

  12. The network researchers' network

    DEFF Research Database (Denmark)

    Henneberg, Stephan C.; Jiang, Zhizhong; Naudé, Peter

    2009-01-01

    The Industrial Marketing and Purchasing (IMP) Group is a network of academic researchers working in the area of business-to-business marketing. The group meets every year to discuss and exchange ideas, with a conference having been held every year since 1984 (there was no meeting in 1987). In thi...

  13. Training Recurrent Networks

    DEFF Research Database (Denmark)

    Pedersen, Morten With

    1997-01-01

    Training recurrent networks is generally believed to be a difficult task. Excessive training times and lack of convergence to an acceptable solution are frequently reported. In this paper we seek to explain the reason for this from a numerical point of view and show how to avoid problems when tra...... training. In particular we investigate ill-conditioning, the need for and effect of regularization and illustrate the superiority of second-order methods for training......Training recurrent networks is generally believed to be a difficult task. Excessive training times and lack of convergence to an acceptable solution are frequently reported. In this paper we seek to explain the reason for this from a numerical point of view and show how to avoid problems when...

  14. Networks of trainees: examining the effects of attending an interdisciplinary research training camp on the careers of new obesity scholars

    Directory of Open Access Journals (Sweden)

    Godley J

    2014-10-01

    Full Text Available Jenny Godley,1 Nicole M Glenn,2 Arya M Sharma,3 John C Spence4 1Department of Sociology, University of Calgary, Calgary, AB, Canada; 2School of Public Health, Université de Montréal, Montreal, QC, Canada; 3Department of Medicine, 4Sedentary Living Laboratory, Faculty of Physical Education and Recreation, University of Alberta, Edmonton, AB, Canada Abstract: Students training in obesity research, prevention, and management face the challenge of developing expertise in their chosen academic field while at the same time recognizing that obesity is a complex issue that requires a multidisciplinary and multisectoral approach. In appreciation of this challenge, the Canadian Obesity Network (CON has run an interdisciplinary summer training camp for graduate students, new career researchers, and clinicians for the past 8 years. This paper evaluates the effects of attending this training camp on trainees' early careers. We use social network analysis to examine the professional connections developed among trainee Canadian obesity researchers who attended this camp over its first 5 years of operation (2006–2010. We examine four relationships (knowing, contacting, and meeting each other, and working together among previous trainees. We assess the presence and diversity of these relationships among trainees across different years and disciplines and find that interdisciplinary contact and working relationships established at the training camp have been maintained over time. In addition, we evaluate the qualitative data on trainees' career trajectories and their assessments of the impact that the camp had on their careers. Many trainees report that camp attendance had a positive impact on their career development, particularly in terms of establishing contacts and professional relationships. Both the quantitative and the qualitative results demonstrate the importance of interdisciplinary training and relationships for career development in the health

  15. Networks of trainees: examining the effects of attending an interdisciplinary research training camp on the careers of new obesity scholars.

    Science.gov (United States)

    Godley, Jenny; Glenn, Nicole M; Sharma, Arya M; Spence, John C

    2014-01-01

    Students training in obesity research, prevention, and management face the challenge of developing expertise in their chosen academic field while at the same time recognizing that obesity is a complex issue that requires a multidisciplinary and multisectoral approach. In appreciation of this challenge, the Canadian Obesity Network (CON) has run an interdisciplinary summer training camp for graduate students, new career researchers, and clinicians for the past 8 years. This paper evaluates the effects of attending this training camp on trainees' early careers. We use social network analysis to examine the professional connections developed among trainee Canadian obesity researchers who attended this camp over its first 5 years of operation (2006-2010). We examine four relationships (knowing, contacting, and meeting each other, and working together) among previous trainees. We assess the presence and diversity of these relationships among trainees across different years and disciplines and find that interdisciplinary contact and working relationships established at the training camp have been maintained over time. In addition, we evaluate the qualitative data on trainees' career trajectories and their assessments of the impact that the camp had on their careers. Many trainees report that camp attendance had a positive impact on their career development, particularly in terms of establishing contacts and professional relationships. Both the quantitative and the qualitative results demonstrate the importance of interdisciplinary training and relationships for career development in the health sciences.

  16. Research on Linear Wireless Sensor Networks Used for Online Monitoring of Rolling Bearing in Freight Train

    International Nuclear Information System (INIS)

    Wang Nan; Meng Qingfeng; Zheng Bin; Li Tong; Ma Qinghai

    2011-01-01

    This paper presents a Wireless Sensor Networks (WSNs) technique for the purpose of on-line monitoring of rolling bearing in freight train. A new technical scheme including the arrangements of sensors, the design of sensor nodes and base station, routing protocols, signal acquirement, processing and transmission is described, and an on-line monitoring system is established. Considering the approximately linear arrangements of cars and the running state of freight train, a linear topology structure of WSNs is adopted and five linear routing protocols are discussed in detail as to obtain the desired minimum energy consumption of WSNs. By analysing the simulation results, an optimal multi-hop routing protocol named sub-section routing protocol according to equal distance is adopted, in which all sensor nodes are divided into different groups according to the equal transmission distance, the optimal transmission distance and number of hops of routing protocol are also studied. We know that the communication consumes significant power in WSNs, so, in order to save the limit power supply of WSNs, the data compression and coding scheme based on lifting integer wavelet and embedded zerotree wavelet (EZW) algorithms is studied to reduce the amounts of data transmitted. The experimental results of rolling bearing have been given at last to verify the effectiveness of data compression algorithm. The on-line monitoring system of rolling bearing in freight train will be applied to actual application in the near future.

  17. Practice-Based Research Networks, Part II: A Descriptive Analysis of the Athletic Training Practice-Based Research Network in the Secondary School Setting

    Science.gov (United States)

    McLeod, Tamara C. Valovich; Lam, Kenneth C.; Bay, R. Curtis; Sauers, Eric L.; Valier, Alison R. Snyder

    2012-01-01

    Context Analysis of health care service models requires the collection and evaluation of basic practice characterization data. Practice-based research networks (PBRNs) provide a framework for gathering data useful in characterizing clinical practice. Objective To describe preliminary secondary school setting practice data from the Athletic Training Practice-Based Research Network (AT-PBRN). Design Descriptive study. Setting Secondary school athletic training facilities within the AT-PBRN. Patients or Other Participants Clinicians (n = 22) and their patients (n = 2523) from the AT-PBRN. Main Outcome Measure(s) A Web-based survey was used to obtain data on clinical practice site and clinician characteristics. Patient and practice characteristics were obtained via deidentified electronic medical record data collected between September 1, 2009, and April 1, 2011. Descriptive data regarding the clinician and CPS practice characteristics are reported as percentages and frequencies. Descriptive analysis of patient encounters and practice characteristic data was performed, with the percentages and frequencies of the type of injuries recorded at initial evaluation, type of treatment received at initial evaluation, daily treatment, and daily sign-in procedures. Results The AT-PBRN had secondary school sites in 7 states, and most athletic trainers at those sites (78.2%) had less than 5 years of experience. The secondary school sites within the AT-PBRN documented 2523 patients treated across 3140 encounters. Patients most frequently sought care for a current injury (61.3%), followed by preventive services (24.0%), and new injuries (14.7%). The most common diagnoses were ankle sprain/strain (17.9%), hip sprain/strain (12.5%), concussion (12.0%), and knee pain (2.5%). The most frequent procedures were athletic trainer evaluation (53.9%), hot- or cold-pack application (26.0%), strapping (10.3%), and therapeutic exercise (5.7%). The median number of treatments per injury was 3

  18. Positive train control shared network.

    Science.gov (United States)

    2015-05-01

    The Interoperable Train Control (ITC) Positive : Train Control (PTC) Shared Network (IPSN) : project investigated anticipated industry benefits : and the level of support for the development of : a hosted technological platform for PTC : messaging ac...

  19. Assessment of palliative care training in gynecologic oncology: A gynecologic oncology fellow research network study

    Science.gov (United States)

    Eskander, Ramez N.; Osann, Kathryn; Dickson, Elizabeth; Holman, Laura L.; Rauh-Hain, J. Alejandro; Spoozak, Lori; Wu, Eijean; Krill, Lauren; Fader, Amanda Nickles; Tewari, Krishnansu S.

    2014-01-01

    Objective Palliative care is recognized as an important component of oncologic care. We sought to assess the quality/quantity of palliative care education in gynecologic oncology fellowship. Methods A self-administered on-line questionnaire was distributed to current gynecologic oncology fellow and candidate members during the 2013 academic year. Descriptive statistics, bivariate and multivariate analyses were performed. Results Of 201 fellow and candidate members, 74.1% (n = 149) responded. Respondents were primarily women (75%) and white (76%). Only 11% of respondents participated in a palliative care rotation. Respondents rated the overall quality of teaching received on management of ovarian cancer significantly higher than management of patients at end of life (EOL), independent of level of training (8.25 vs. 6.23; p Gynecologic oncology fellow/candidate members reported insufficient palliative care education. Those respondents reporting higher quality EOL training felt more prepared to care for dying patients and to address complications commonly encountered in this setting. PMID:24887355

  20. The MUSE network: research outcomes

    OpenAIRE

    Toll, D. G.; Gallipoli, Domenico; Augarde, C. E.; Gennaro, V. de; Mancuso, C.; Tarantino, A; Vaunat, Jean; Wheeler, S. J.

    2009-01-01

    TheMUSEproject ("Mechanics of Unsaturated Soils for Engineering") was a Research Training Network funded by the European Commission from 2004 until 2008. The network produced a unique data set of laboratory test results on a wide range of unsaturated soil types. Work on constitutive modelling involved re-evaluated existing constitutive models and indicated that even the latest coupled models failed to capture some aspects of observed behaviour. This led to new models being developed to att...

  1. Lymphatic Education & Research Network

    Science.gov (United States)

    Lymphatic Education & Research Network Donate Now Become a Supporting Member X Living with LYMPHEDEMA AND Lymphatic Disease FAQs About ... December 8, 2017 11.08.2017 The Lymphatic Education & Research Network… Read More > ASRM LE&RN Combined ...

  2. Training research through EFL

    Directory of Open Access Journals (Sweden)

    Mardanshina Rimma M.

    2016-01-01

    Full Text Available In a globalized research market, developing students’ research skills by means of a foreign language is of particular importance. Students’ research work within the framework of the syllabus and extracurricular activities constitute the system of scientific work of students in a higher education institution. The potential of a foreign language in shaping the academic and research competence of students of Economics is revealed in the content and process aspects. Linguistics and economics as fields of scientific knowledge are reflected in the content aspect. Regarding the mode of training research, the emphasis is on reading strategies and activities aimed at fluent comprehension and handling professional and scientific information. Students’ scientific conference survey proves the potential of EFL in research activities and sheds the light on the new ways to develop research competence.

  3. Building and strengthening capacity for cardiovascular research in Africa through technical training workshops: a report of the joint course on health research methods by the Clinical Research Education Networking and Consultancy and the Ivorian Society of Cardiology.

    Science.gov (United States)

    Dzekem, Bonaventure Suiru; Kacou, Jean Baptiste; Abanda, Martin; Kramoh, Euloge; Yapobi, Yves; Kingue, Samuel; Kengne, Andre Pascal; Dzudie, Anastase

    Africa bears a quarter of the global burden of disease but contributes less than 2% of the global research publications on health, partially due to a lack of expertise and skills to carry out scientific research. We report on a short course on research methods organised by the Clinical Research Education Networking and Consultancy (CRENC) during the third international congress of the Ivorian Cardiac Society (SICARD) in Abidjan, Cote d'Ivoire. Results from the pre- and post-test evaluation during this course showed that African researchers could contribute more to scientific research and publications, provided adequate support and investment is geared towards the identification and training of motivated early-career scientists.

  4. THE EXPERIENCE OF NETWORKING POSTGRADUATE TRAINING PROGRAMMES

    Directory of Open Access Journals (Sweden)

    E. A. Teplyashina

    2017-01-01

    Full Text Available Introduction. Present scientific and innovative education programmes focus on the development of applied research in priority areas of industry, cross-industry and regional development. Implementation of such programs is most effective along with the network organization of the process of training. In accordance with the Federal Law on Education in the Russian Federation, this model of networking as «educational institution – educational organization» is a very convenient form of academic mobility realisation.The aim of the present paper is to analyse the model of interaction of the networking postgraduate training programmes at Krasnoyarsk State Medical University named after Prof. V. F. Voino-Yasenetsky and Medical School of Niigata University (Japan.Methodology and research methods involve theoretical analysis of the scientific outcomes of implementing a networking postgraduate training programme, comparative-teaching method, generalization, and pedagogical modeling.Results. The mechanisms of developing the partnership between universities of different countries are detailed. The experience of network international education in a postgraduate study is presented. The presented experience allowed the authors to develop an integrated strategy of cooperation with foreign colleagues in this direction. The advantages and problems of use of a network form of training of academic and teaching staff in a postgraduate school are revealed. The proposals and recommendations on optimization and harmonization of the purposes, tasks and programs of network interaction of the educational organizations are formulated.Practical significance. The proposed materials of the publication can form the base for creation and designing of an effective system of postgraduate education and competitiveness growth of the Russian universities. 

  5. Training program attracts work and health researchers

    DEFF Research Database (Denmark)

    Skakon, Janne

    2007-01-01

    to examining work disability prevention issues. An innovative program that attracts international students, the Work Disability Prevention Canadian Institutes of Health Research (CIHR) Strategic Training Program, aims to build research capacity in young researchers and to create a strong network that examines...

  6. Parallelization of Neural Network Training for NLP with Hogwild!

    Directory of Open Access Journals (Sweden)

    Deyringer Valentin

    2017-10-01

    Full Text Available Neural Networks are prevalent in todays NLP research. Despite their success for different tasks, training time is relatively long. We use Hogwild! to counteract this phenomenon and show that it is a suitable method to speed up training Neural Networks of different architectures and complexity. For POS tagging and translation we report considerable speedups of training, especially for the latter. We show that Hogwild! can be an important tool for training complex NLP architectures.

  7. Applications of neural networks in training science.

    Science.gov (United States)

    Pfeiffer, Mark; Hohmann, Andreas

    2012-04-01

    Training science views itself as an integrated and applied science, developing practical measures founded on scientific method. Therefore, it demands consideration of a wide spectrum of approaches and methods. Especially in the field of competitive sports, research questions are usually located in complex environments, so that mainly field studies are drawn upon to obtain broad external validity. Here, the interrelations between different variables or variable sets are mostly of a nonlinear character. In these cases, methods like neural networks, e.g., the pattern recognizing methods of Self-Organizing Kohonen Feature Maps or similar instruments to identify interactions might be successfully applied to analyze data. Following on from a classification of data analysis methods in training-science research, the aim of the contribution is to give examples of varied sports in which network approaches can be effectually used in training science. First, two examples are given in which neural networks are employed for pattern recognition. While one investigation deals with the detection of sporting talent in swimming, the other is located in game sports research, identifying tactical patterns in team handball. The third and last example shows how an artificial neural network can be used to predict competitive performance in swimming. Copyright © 2011 Elsevier B.V. All rights reserved.

  8. Operational Alignment in Predator Training Research

    Science.gov (United States)

    2014-04-21

    RESEARCH Noah P. Schill*, Leah J. Rowe†, Brian L. Gyovai‡, DeForest Q. Joralmon§, Andrew J. Schneck**, Darrin A. Woudstra†† The sixteen year old USAF...research environment. To provide targeted RPA training research solutions , the team has developed the Predator Research Integrated Networked Combat...Performance Wing, Warfighter Readiness Research Division. ‡ Lt Col Brian L. Gyovai, OHANG, 178th Operations Support Squadron. § Dr. DeForest Q

  9. Research reactor education and training

    International Nuclear Information System (INIS)

    Gless, B.; Chanteux, P.

    2003-01-01

    CORYS T.E.S.S. and TECHNICATOME present in this document some of the questions that can be rightfully raised concerning education and training of nuclear facilities' staffs. At first, some answers illustrate the tackled generic topics: importance of training, building of a training program, usable tools for training purposes. Afterwards, this paper deals more specifically with research reactors as an actual training tool. The pedagogical advantages they can bring are illustrated through an example consisting in the description of the AZUR facility training capabilities followed by the detailed experiences CORYS T.E.S.S. and TECHNICATOME have both gathered and keeps on gaining using research reactors for training means. The experience shows that this incomparable training material is not necessarily reserved to huge companies or organisations' numerous personnel. It offers enough flexibility to be adapted to the specific needs of a thinner audience. Thus research reactor staffs can also take advantages of this training method. (author)

  10. Railroad operations research and training.

    Science.gov (United States)

    2014-07-01

    This research is necessary to address training and research needs for railroads. Very few institutions provide instruction in railroad engineering, operations or management. With increasing government regulation there is a need for Class I railroads,...

  11. Training the Cancer Research Workforce

    Science.gov (United States)

    The National Cancer Institute (NCI) builds up the nation's cancer research workforce through training and career development grants, as well as intramural research experiences at the NIH Clinical Center and NCI offices and laboratories in Maryland.

  12. Reducing neural network training time with parallel processing

    Science.gov (United States)

    Rogers, James L., Jr.; Lamarsh, William J., II

    1995-01-01

    Obtaining optimal solutions for engineering design problems is often expensive because the process typically requires numerous iterations involving analysis and optimization programs. Previous research has shown that a near optimum solution can be obtained in less time by simulating a slow, expensive analysis with a fast, inexpensive neural network. A new approach has been developed to further reduce this time. This approach decomposes a large neural network into many smaller neural networks that can be trained in parallel. Guidelines are developed to avoid some of the pitfalls when training smaller neural networks in parallel. These guidelines allow the engineer: to determine the number of nodes on the hidden layer of the smaller neural networks; to choose the initial training weights; and to select a network configuration that will capture the interactions among the smaller neural networks. This paper presents results describing how these guidelines are developed.

  13. Local Dynamics in Trained Recurrent Neural Networks

    Science.gov (United States)

    Rivkind, Alexander; Barak, Omri

    2017-06-01

    Learning a task induces connectivity changes in neural circuits, thereby changing their dynamics. To elucidate task-related neural dynamics, we study trained recurrent neural networks. We develop a mean field theory for reservoir computing networks trained to have multiple fixed point attractors. Our main result is that the dynamics of the network's output in the vicinity of attractors is governed by a low-order linear ordinary differential equation. The stability of the resulting equation can be assessed, predicting training success or failure. As a consequence, networks of rectified linear units and of sigmoidal nonlinearities are shown to have diametrically different properties when it comes to learning attractors. Furthermore, a characteristic time constant, which remains finite at the edge of chaos, offers an explanation of the network's output robustness in the presence of variability of the internal neural dynamics. Finally, the proposed theory predicts state-dependent frequency selectivity in the network response.

  14. Local Dynamics in Trained Recurrent Neural Networks.

    Science.gov (United States)

    Rivkind, Alexander; Barak, Omri

    2017-06-23

    Learning a task induces connectivity changes in neural circuits, thereby changing their dynamics. To elucidate task-related neural dynamics, we study trained recurrent neural networks. We develop a mean field theory for reservoir computing networks trained to have multiple fixed point attractors. Our main result is that the dynamics of the network's output in the vicinity of attractors is governed by a low-order linear ordinary differential equation. The stability of the resulting equation can be assessed, predicting training success or failure. As a consequence, networks of rectified linear units and of sigmoidal nonlinearities are shown to have diametrically different properties when it comes to learning attractors. Furthermore, a characteristic time constant, which remains finite at the edge of chaos, offers an explanation of the network's output robustness in the presence of variability of the internal neural dynamics. Finally, the proposed theory predicts state-dependent frequency selectivity in the network response.

  15. TRAIN: Training through Research Application Italian iNitiative.

    Science.gov (United States)

    Lombardo, Claudio; Bottero, Sergio; d'Alessandro, Francesca; Giacomini, Mauro; Guderzo, Angela; Moretti, Franca; Marincola, Margherita; Pesce, Giorgia; Pierotti, Marco A; Spagnoli, Luigi Giusto; Belardelli, Filippo

    2011-01-01

    Training through Research Application Italian iNitiative (TRAIN) is a mobility program financed under the EU action called "Cofinancing of regional, national and international programs" (COFUND) of the European Commission Seventh Framework Program (FP7) - People, and has been designed to encourage the promotion and development of international programs of research through mobility at various stages of research careers. The aim of TRAIN is to improve translational skills in the field of cancer by promoting a three-year international mobility program assigning a total of 51 fellowships subdivided into incoming, outgoing and reintegration fellowships.?The TRAIN proposal has been submitted in February 2009 to the European Commission in reply to the 2008 FP7-PEOPLE-COFUND call and has been successfully evaluated. TRAIN is addressed to postdoctoral scientists or scientists who have at least four years' full-time equivalent research experience and who wish to improve their careers spending one year abroad. The mobility program is open also to non-Italian experienced scientists wishing to spend one year in an Italian research center or private company. Part of the scheme is targeted to experienced Italian scientists who have completed at least three years of research in a foreign country and are interested in returning to Italy.?TRAIN is part of an overall Italian strategy outlined by the International Program of the Italian Cancer Network "Alleanza Contro il Cancro" to promote Italian participation in the building of the European Area for translational cancer research and to enhance the interaction between academy and industry.

  16. Training program attracts work and health researchers

    DEFF Research Database (Denmark)

    Skakon, Janne

    2007-01-01

    to examining work disability prevention issues. An innovative program that attracts international students, the Work Disability Prevention Canadian Institutes of Health Research (CIHR) Strategic Training Program, aims to build research capacity in young researchers and to create a strong network that examines......Each year in Canada, the costs of disability arising from work-related causes – including workers’ compensation and health-care costs – exceed $6.7 billion. Despite the significant financial and social impacts of worker injury and illness, only a small fraction of Canadian researchers are dedicated...

  17. Training Results and Information Network

    Data.gov (United States)

    US Agency for International Development — TraiNet is USAID's official training data management system that is accessed from a web browser and the entry point for data about training programs and participants...

  18. Method Accelerates Training Of Some Neural Networks

    Science.gov (United States)

    Shelton, Robert O.

    1992-01-01

    Three-layer networks trained faster provided two conditions are satisfied: numbers of neurons in layers are such that majority of work done in synaptic connections between input and hidden layers, and number of neurons in input layer at least as great as number of training pairs of input and output vectors. Based on modified version of back-propagation method.

  19. Nuclear safety education and training network

    International Nuclear Information System (INIS)

    Bastos, J.; Ulfkjaer, L.

    2004-01-01

    In March 2001, the Secretariat convened an Advisory Group on Education and Training in nuclear safety. The Advisory Group considered structure, scope and means related to the implementation of an IAEA Programme on Education and Training . A strategic plan was agreed and the following outputs were envisaged: 1. A Training Support Programme in nuclear safety, including a standardized and harmonized approach for training developed by the IAEA and in use by Member States. 2. National and regional training centres, established to support sustainable national nuclear safety infrastructures. 3. Training material for use by lecturers and students developed by the IAEA in English and translated to other languages. The implementation of the plan was initiated in 2002 emphasizing the preparation of training materials. In 2003 a pilot project for a network on Education and Training in Asia was initiated

  20. Dynamic training algorithm for dynamic neural networks

    International Nuclear Information System (INIS)

    Tan, Y.; Van Cauwenberghe, A.; Liu, Z.

    1996-01-01

    The widely used backpropagation algorithm for training neural networks based on the gradient descent has a significant drawback of slow convergence. A Gauss-Newton method based recursive least squares (RLS) type algorithm with dynamic error backpropagation is presented to speed-up the learning procedure of neural networks with local recurrent terms. Finally, simulation examples concerning the applications of the RLS type algorithm to identification of nonlinear processes using a local recurrent neural network are also included in this paper

  1. International research networks in pharmaceuticals

    DEFF Research Database (Denmark)

    Cantner, Uwe; Rake, Bastian

    2014-01-01

    of scientific publications related to pharmaceutical research and applying social network analysis, we find that both the number of countries and their connectivity increase in almost all disease group specific networks. The cores of the networks consist of high income OECD countries and remain rather stable......Knowledge production and scientific research have become increasingly more collaborative and international, particularly in pharmaceuticals. We analyze this tendency in general and tie formation in international research networks on the country level in particular. Based on a unique dataset...... over time. Using network regression techniques to analyze the network dynamics our results indicate that accumulative advantages based on connectedness and multi-connectivity are positively related to changes in the countries' collaboration intensity whereas various indicators on similarity between...

  2. Research, Boundaries, and Policy in Networked Learning

    DEFF Research Database (Denmark)

    This book presents cutting-edge, peer reviewed research on networked learning organized by three themes: policy in networked learning, researching networked learning, and boundaries in networked learning. The "policy in networked learning" section explores networked learning in relation to policy...... networks, spaces of algorithmic governance and more. The "boundaries in networked learning" section investigates frameworks of students' digital literacy practices, among other important frameworks in digital learning. Lastly, the "research in networked learning" section delves into new research methods...

  3. Neutrons for research and training

    International Nuclear Information System (INIS)

    Villa, M.; Bichler, M.; Hameed, F.; Jericha, E.; Steinhauser, G.; Sterba, J.H.; Boeck, H.

    2008-01-01

    The 250 kW TRIGA Mark-II reactor operates since March 1962 at the Atomic Institute in Vienna, Austria. Its main tasks are nuclear education and training in the fields of neutron- and solid state physics, nuclear technology, reactor safety, radiochemistry, radiation protection and dosimetry, and low temperature physics and fusion research. Academic research is carried out by students in the above mentioned fields co-ordinated and supervised by about 80 staff members with the aim of a master- or PhD degree in one of the above mentioned areas. During the past 15 years about 600 students graduated through the Atomic Institute. The paper focuses on the results in neutron- and solid state physics and the co-operation between the low power TRIGA reactor with high flux neutron sources in Europe. The use of the TRIGA reactor at the Atomic Institute in Vienna as an irradiation facility in neutron activation analysis has a remarkable history. Present research work includes the recent determination of the precise half-life of 182 Hf and the participation in an archaeological long-term research programme. The TRIGA reactor operated by the Atomic Institute is now the only nuclear facility in Austria. Although Austria follows a dedicated anti-nuclear policy, the Atomic Institute enjoys a relatively undisturbed nuclear freedom in its nuclear activities. This allows us to use the research reactor not only for academic training but also for international training courses especially in nuclear technology. The presentation will outline typical training programmes and summarizes the experience with international training courses. (authors)

  4. Training Deep Spiking Neural Networks Using Backpropagation.

    Science.gov (United States)

    Lee, Jun Haeng; Delbruck, Tobi; Pfeiffer, Michael

    2016-01-01

    Deep spiking neural networks (SNNs) hold the potential for improving the latency and energy efficiency of deep neural networks through data-driven event-based computation. However, training such networks is difficult due to the non-differentiable nature of spike events. In this paper, we introduce a novel technique, which treats the membrane potentials of spiking neurons as differentiable signals, where discontinuities at spike times are considered as noise. This enables an error backpropagation mechanism for deep SNNs that follows the same principles as in conventional deep networks, but works directly on spike signals and membrane potentials. Compared with previous methods relying on indirect training and conversion, our technique has the potential to capture the statistics of spikes more precisely. We evaluate the proposed framework on artificially generated events from the original MNIST handwritten digit benchmark, and also on the N-MNIST benchmark recorded with an event-based dynamic vision sensor, in which the proposed method reduces the error rate by a factor of more than three compared to the best previous SNN, and also achieves a higher accuracy than a conventional convolutional neural network (CNN) trained and tested on the same data. We demonstrate in the context of the MNIST task that thanks to their event-driven operation, deep SNNs (both fully connected and convolutional) trained with our method achieve accuracy equivalent with conventional neural networks. In the N-MNIST example, equivalent accuracy is achieved with about five times fewer computational operations.

  5. Social networks and research output

    NARCIS (Netherlands)

    Ductor, L.; Fafchamps, M.; Goyal, S.; van der Leij, M.J.

    2014-01-01

    We study how knowledge about the social network of an individual researcher - as embodied in his coauthor relations - helps us in developing a more accurate prediction of his future productivity. We find that incorporating information about coauthor networks leads to a modest improvement in the

  6. Research Award: Informaon and Networks

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

    Corey Piccioni

    2013-08-07

    Aug 7, 2013 ... What are the limitaons of openness models in reducing poverty or achieving networked sociees? • What role do collaborave technologies (e.g., social media) play in social innovaon and change? • Which policies and regulaons are needed to sustain inclusive and innovave network sociees? The Research ...

  7. Solar Training Network and Solar Ready Vets

    Energy Technology Data Exchange (ETDEWEB)

    Dalstrom, Tenley Ann

    2016-09-14

    In 2016, the White House announced the Solar Ready Vets program, funded under DOE's SunShot initiative would be administered by The Solar Foundation to connect transitioning military personnel to solar training and employment as they separate from service. This presentation is geared to informing and recruiting employer partners for the Solar Ready Vets program, and the Solar Training Network. It describes the programs, and the benefits to employers that choose to connect to the programs.

  8. NATO Education and Training Network

    Science.gov (United States)

    2012-02-01

    F-22 1.9.2.10 NETN Service Manager ..................................................................................................... F...Version Description Pitch Actors MSG-068 CGF Pitch Booster 1.2 Private Simulation Network Overlay Pitch NETN Service Manager MSG-068 Test tool for NETN...IEEE 1516-2010 1 Pitch NETN Service Manager Service Manager NETN Service Manager IEEE 1516-2010 1 Pitch Recorder Pitch Recorder Recorder IEEE 1516

  9. Research Award: Networked Economies

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

    Office 2004 Test Drive User

    2015-08-06

    Aug 6, 2015 ... have completed a master's or doctoral degree at a recognized university. These awards may be part of an academic requirement. • Your proposed research must focus on a developing country. The research awardee should have the following qualifications: • Master's degree in social sciences, media ...

  10. Research nodes and networks

    DEFF Research Database (Denmark)

    Matthiessen, Christian Wichmann; Schwarz, Annette Winkel; Find, Søren

    2011-01-01

    Analysis of the spatial distribution and connectivity of scientific research, using linkages between academic units (institutions and business)to assess the relative weight of the worlds metropolitan regions. The findings support Richard Floridas assertion that the world is "spiky" rather than fl...

  11. Fast Linear Adaptive Skipping Training Algorithm for Training Artificial Neural Network

    OpenAIRE

    Manjula Devi, R.; Kuppuswami, S.; Suganthe, R. C.

    2013-01-01

    Artificial neural network has been extensively consumed training model for solving pattern recognition tasks. However, training a very huge training data set using complex neural network necessitates excessively high training time. In this correspondence, a new fast Linear Adaptive Skipping Training (LAST) algorithm for training artificial neural network (ANN) is instituted. The core essence of this paper is to ameliorate the training speed of ANN by exhibiting only the input samples that do ...

  12. Training multi-layered neural network neocognitron.

    Science.gov (United States)

    Fukushima, Kunihiko

    2013-04-01

    This paper proposes new learning rules suited for training multi-layered neural networks and applies them to the neocognitron. The neocognitron is a hierarchical multi-layered neural network capable of robust visual pattern recognition. It acquires the ability to recognize visual patterns through learning. For training intermediate layers of the hierarchical network of the neocognitron, we use a new learning rule named add-if-silent. By the use of the add-if-silent rule, the learning process becomes much simpler and more stable, and the computational cost for learning is largely reduced. Nevertheless, a high recognition rate can be kept without increasing the scale of the network. For the highest stage of the network, we use the method of interpolating-vector. We have previously reported that the recognition rate is greatly increased if this method is used during recognition. This paper proposes a new method of using it for both learning and recognition. Computer simulation demonstrates that the new neocognitron, which uses the add-if-silent and the interpolating-vector, produces a higher recognition rate for handwritten digits recognition with a smaller scale of the network than the neocognitron of previous versions. Copyright © 2013 Elsevier Ltd. All rights reserved.

  13. European training network on full-parallax imaging (Conference Presentation)

    Science.gov (United States)

    Martínez-Corral, Manuel; Saavedra, Genaro

    2017-05-01

    Current displays are far from truly recreating visual reality. This requires a full-parallax display that can reproduce radiance field emanated from the real scenes. The develop-ment of such technology will require a new generation of researchers trained both in the physics, and in the biology of human vision. The European Training Network on Full-Parallax Imaging (ETN-FPI) aims at developing this new generation. Under H2020 funding ETN-FPI brings together 8 beneficiaries and 8 partner organizations from five EU countries with the aim of training 15 talented pre-doctoral students to become future research leaders in this area. In this contribution we will explain the main objectives of the network, and specifically the advances obtained at the University of Valencia.

  14. Adaptive training of feedforward neural networks by Kalman filtering

    International Nuclear Information System (INIS)

    Ciftcioglu, Oe.

    1995-02-01

    Adaptive training of feedforward neural networks by Kalman filtering is described. Adaptive training is particularly important in estimation by neural network in real-time environmental where the trained network is used for system estimation while the network is further trained by means of the information provided by the experienced/exercised ongoing operation. As result of this, neural network adapts itself to a changing environment to perform its mission without recourse to re-training. The performance of the training method is demonstrated by means of actual process signals from a nuclear power plant. (orig.)

  15. Character Recognition Using Genetically Trained Neural Networks

    Energy Technology Data Exchange (ETDEWEB)

    Diniz, C.; Stantz, K.M.; Trahan, M.W.; Wagner, J.S.

    1998-10-01

    Computationally intelligent recognition of characters and symbols addresses a wide range of applications including foreign language translation and chemical formula identification. The combination of intelligent learning and optimization algorithms with layered neural structures offers powerful techniques for character recognition. These techniques were originally developed by Sandia National Laboratories for pattern and spectral analysis; however, their ability to optimize vast amounts of data make them ideal for character recognition. An adaptation of the Neural Network Designer soflsvare allows the user to create a neural network (NN_) trained by a genetic algorithm (GA) that correctly identifies multiple distinct characters. The initial successfid recognition of standard capital letters can be expanded to include chemical and mathematical symbols and alphabets of foreign languages, especially Arabic and Chinese. The FIN model constructed for this project uses a three layer feed-forward architecture. To facilitate the input of characters and symbols, a graphic user interface (GUI) has been developed to convert the traditional representation of each character or symbol to a bitmap. The 8 x 8 bitmap representations used for these tests are mapped onto the input nodes of the feed-forward neural network (FFNN) in a one-to-one correspondence. The input nodes feed forward into a hidden layer, and the hidden layer feeds into five output nodes correlated to possible character outcomes. During the training period the GA optimizes the weights of the NN until it can successfully recognize distinct characters. Systematic deviations from the base design test the network's range of applicability. Increasing capacity, the number of letters to be recognized, requires a nonlinear increase in the number of hidden layer neurodes. Optimal character recognition performance necessitates a minimum threshold for the number of cases when genetically training the net. And, the

  16. Training- and education system in network control rooms

    Energy Technology Data Exchange (ETDEWEB)

    Eichner, M.; Koentges, U.

    1987-03-01

    The training system for the project network control center of Duesseldorf city is described. Reasons for the implementation of the training system are presented, the main requirements are brought forward, and the envisaged solutions are described. The main training element is a network simulator including also the network protection systems. The software requirements are outlined.

  17. Introduction to the EC's Marie Curie Initial Training Network Project: The European Training Network in Digital Medical Imaging for Radiotherapy (ENTERVISION).

    Science.gov (United States)

    Dosanjh, Manjit; Cirilli, Manuela; Navin, Sparsh

    2015-01-01

    Between 2011 and 2015, the ENTERVISION Marie Curie Initial Training Network has been training 15 young researchers from a variety of backgrounds on topics ranging from in-beam Positron Emission Tomography or Single Particle Tomography techniques, to adaptive treatment planning, optical imaging, Monte Carlo simulations and biological phantom design. This article covers the main research activities, as well as the training scheme implemented by the participating institutes, which included academia, research, and industry.

  18. EHV network operation, maintenance, organization and training

    Energy Technology Data Exchange (ETDEWEB)

    Gravier, J.P. [Electricite de France (EDF), 75 - Paris (France)

    1994-12-31

    The service interruptions of electricity have an ever increasing social and industrial impact, it is thus fundamental to operate the network to its best level of performances. To face these changing conditions, Electricite de France has consequently adapted its strategy to improve its organization for maintenance and operation, clarify the operation procedures and give further training to the staff. This work presents the above mentioned issues. (author) 2 figs.

  19. Research team training: moving beyond job descriptions.

    Science.gov (United States)

    Nelson, LaRon E; Morrison-Beedy, Dianne

    2008-08-01

    Providing appropriate training to research team members is essential to the effective implementation and overall operation of a research project. It is important to identify job requirements beyond those listed in the job description in order to fully assess basic and supplementary training needs. Training needs should be identified prior to and during the conduct of the study. Methods for delivering the training must also be identified. This article describes the identification of training needs and methods in the design of a research team training program using examples from an HIV prevention intervention trial with adolescent girls.

  20. Network Penetration Testing and Research

    Science.gov (United States)

    Murphy, Brandon F.

    2013-01-01

    This paper will focus the on research and testing done on penetrating a network for security purposes. This research will provide the IT security office new methods of attacks across and against a company's network as well as introduce them to new platforms and software that can be used to better assist with protecting against such attacks. Throughout this paper testing and research has been done on two different Linux based operating systems, for attacking and compromising a Windows based host computer. Backtrack 5 and BlackBuntu (Linux based penetration testing operating systems) are two different "attacker'' computers that will attempt to plant viruses and or NASA USRP - Internship Final Report exploits on a host Windows 7 operating system, as well as try to retrieve information from the host. On each Linux OS (Backtrack 5 and BlackBuntu) there is penetration testing software which provides the necessary tools to create exploits that can compromise a windows system as well as other operating systems. This paper will focus on two main methods of deploying exploits 1 onto a host computer in order to retrieve information from a compromised system. One method of deployment for an exploit that was tested is known as a "social engineering" exploit. This type of method requires interaction from unsuspecting user. With this user interaction, a deployed exploit may allow a malicious user to gain access to the unsuspecting user's computer as well as the network that such computer is connected to. Due to more advance security setting and antivirus protection and detection, this method is easily identified and defended against. The second method of exploit deployment is the method mainly focused upon within this paper. This method required extensive research on the best way to compromise a security enabled protected network. Once a network has been compromised, then any and all devices connected to such network has the potential to be compromised as well. With a compromised

  1. Introduction to the EC's Marie Curie Initial Training Network (MC-ITN) project: Particle Training Network for European Radiotherapy (PARTNER).

    Science.gov (United States)

    Dosanjh, Manjit; Magrin, Giulio

    2013-07-01

    PARTNER (Particle Training Network for European Radiotherapy) is a project funded by the European Commission's Marie Curie-ITN funding scheme through the ENLIGHT Platform for 5.6 million Euro. PARTNER has brought together academic institutes, research centres and leading European companies, focusing in particular on a specialized radiotherapy (RT) called hadron therapy (HT), interchangeably referred to as particle therapy (PT). The ultimate goal of HT is to deliver more effective treatment to cancer patients leading to major improvement in the health of citizens. In Europe, several hundred million Euro have been invested, since the beginning of this century, in PT. In this decade, the use of HT is rapidly growing across Europe, and there is an urgent need for qualified researchers from a range of disciplines to work on its translational research. In response to this need, the European community of HT, and in particular 10 leading academic institutes, research centres, companies and small and medium-sized enterprises, joined together to form the PARTNER consortium. All partners have international reputations in the diverse but complementary fields associated with PT: clinical, radiobiological and technological. Thus the network incorporates a unique set of competencies, expertise, infrastructures and training possibilities. This paper describes the status and needs of PT research in Europe, the importance of and challenges associated with the creation of a training network, the objectives, the initial results, and the expected long-term benefits of the PARTNER initiative.

  2. Introduction to the EC's marie curie initial training network (MC-ITN) project. Particle training network for European radiotherapy (PARTNER)

    International Nuclear Information System (INIS)

    Dosanjh, Manjit; Magrin, Giulio

    2013-01-01

    PARTNER (Particle Training Network for European Radiotherapy) is a project funded by the European Commission's Marie Curie-ITN funding scheme through the ENLIGHT Platform for 5.6 million Euro. PARTNER has brought together academic institutes, research centres and leading European companies, focusing in particular on a specialized radiotherapy (RT) called hadron therapy (HT), interchangeably referred to as particle therapy (PT). The ultimate goal of HT is to deliver more effective treatment to cancer patients leading to major improvement in the health of citizens. In Europe, several hundred million Euro have been invested, since the beginning of this century, in PT. In this decade, the use of HT is rapidly growing across Europe, and there is an urgent need for qualified researchers from a range of disciplines to work on its translational research. In response to this need, the European community of HT, and in particular 10 leading academic institutes, research centres, companies and small and medium-sized enterprises, joined together to form the PARTNER consortium. All partners have international reputations in the diverse but complementary fields associated with PT: clinical, radiobiological and technological. Thus the network incorporates a unique set of competencies, expertise, infrastructures and training possibilities. This paper describes the status and needs of PT research in Europe, the importance of and challenges associated with the creation of a training network, the objectives, the initial results, and the expected long-term benefits of the PARTNER initiative. (author)

  3. Social Networking in School Psychology Training Programs: A Survey of Faculty and Graduate Students

    Science.gov (United States)

    Pham, Andy V.; Goforth, Anisa N.; Segool, Natasha; Burt, Isaac

    2014-01-01

    The increasing use of social networking sites has become an emerging focus in school psychology training, policy, and research. The purpose of the current study is to present data from a survey on social networking among faculty and graduate students in school psychology training programs. A total of 110 faculty and 112 graduate students in school…

  4. West Indian Ocean Deltas Exchange and Research Network | IDRC ...

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

    The West Indian Ocean Deltas Exchange and Research Network (WIoDER) aims to support research, training, and pilot interventions in up to four Western Indian Ocean river deltas under pressure from human activity. Research will examine in particular the links between population mobility, agriculture, climate change, ...

  5. Bioinformatics Training Network (BTN): a community resource for bioinformatics trainers.

    Science.gov (United States)

    Schneider, Maria V; Walter, Peter; Blatter, Marie-Claude; Watson, James; Brazas, Michelle D; Rother, Kristian; Budd, Aidan; Via, Allegra; van Gelder, Celia W G; Jacob, Joachim; Fernandes, Pedro; Nyrönen, Tommi H; De Las Rivas, Javier; Blicher, Thomas; Jimenez, Rafael C; Loveland, Jane; McDowall, Jennifer; Jones, Phil; Vaughan, Brendan W; Lopez, Rodrigo; Attwood, Teresa K; Brooksbank, Catherine

    2012-05-01

    Funding bodies are increasingly recognizing the need to provide graduates and researchers with access to short intensive courses in a variety of disciplines, in order both to improve the general skills base and to provide solid foundations on which researchers may build their careers. In response to the development of 'high-throughput biology', the need for training in the field of bioinformatics, in particular, is seeing a resurgence: it has been defined as a key priority by many Institutions and research programmes and is now an important component of many grant proposals. Nevertheless, when it comes to planning and preparing to meet such training needs, tension arises between the reward structures that predominate in the scientific community which compel individuals to publish or perish, and the time that must be devoted to the design, delivery and maintenance of high-quality training materials. Conversely, there is much relevant teaching material and training expertise available worldwide that, were it properly organized, could be exploited by anyone who needs to provide training or needs to set up a new course. To do this, however, the materials would have to be centralized in a database and clearly tagged in relation to target audiences, learning objectives, etc. Ideally, they would also be peer reviewed, and easily and efficiently accessible for downloading. Here, we present the Bioinformatics Training Network (BTN), a new enterprise that has been initiated to address these needs and review it, respectively, to similar initiatives and collections.

  6. Social networks user: current research

    OpenAIRE

    Agadullina E.R.

    2015-01-01

    The purpose of this article is to review current research studies focusing on the users of Facebook and their behaviors in social networks. This review is organized into two sections: 1) social-demographic characteristics (Age, Gender, Nationality); 2) personality characteristics (Neuroticism, Extraversion, Openness-to-Experience, Agreeableness, Conscientiousness, Narcissism, Self-esteem). The results showed that the information in the personal profile and online behavior are strongly connect...

  7. Social networks user: current research

    Directory of Open Access Journals (Sweden)

    Agadullina E.R.

    2015-12-01

    Full Text Available The purpose of this article is to review current research studies focusing on the users of Facebook and their behaviors in social networks. This review is organized into two sections: 1 social-demographic characteristics (Age, Gender, Nationality; 2 personality characteristics (Neuroticism, Extraversion, Openness-to-Experience, Agreeableness, Conscientiousness, Narcissism, Self-esteem. The results showed that the information in the personal profile and online behavior are strongly connected with socio-demographic and personality characteristics

  8. ENTERVISION: Research Training in 3D Digital Imaging for Cancer Radiation Therapy

    CERN Multimedia

    Dosanjh, M

    2013-01-01

    ENTERVISION, is a Marie Curie Initial Training Network project providing training for 12 Early - Stage Researchers and 4 Experienced Researchers in the field of online medical imaging for hadron therapy. It was established in response to the critical need for reinforcing research in online imaging and for training of highly skilled professionals, with the aim of early detection and more precise treatment of tumours.

  9. Accelerated Training for Large Feedforward Neural Networks

    Science.gov (United States)

    Stepniewski, Slawomir W.; Jorgensen, Charles C.

    1998-01-01

    In this paper we introduce a new training algorithm, the scaled variable metric (SVM) method. Our approach attempts to increase the convergence rate of the modified variable metric method. It is also combined with the RBackprop algorithm, which computes the product of the matrix of second derivatives (Hessian) with an arbitrary vector. The RBackprop method allows us to avoid computationally expensive, direct line searches. In addition, it can be utilized in the new, 'predictive' updating technique of the inverse Hessian approximation. We have used directional slope testing to adjust the step size and found that this strategy works exceptionally well in conjunction with the Rbackprop algorithm. Some supplementary, but nevertheless important enhancements to the basic training scheme such as improved setting of a scaling factor for the variable metric update and computationally more efficient procedure for updating the inverse Hessian approximation are presented as well. We summarize by comparing the SVM method with four first- and second- order optimization algorithms including a very effective implementation of the Levenberg-Marquardt method. Our tests indicate promising computational speed gains of the new training technique, particularly for large feedforward networks, i.e., for problems where the training process may be the most laborious.

  10. Researching attitudes in school training abstract

    Directory of Open Access Journals (Sweden)

    Julio Fernando Acosta Muñoz

    2013-07-01

    Full Text Available This work is a reflection article, product of the research referred to ‘Researching Attitudes of Young People in Research Training at the School’. The field of interest is focused on developing the contrast, of theoretical and critical type, facing the research training from the proposal of different research attitudes in the training processes of the school. Methodologically, it is constructed from the theoretical review of authors, exploring the problem at the same time. First the difficulties, expressed about the research training and the relationship of this type of education with traditional positivist view, are described. Within the text, it is proposed to visualize different attitudes in the scholar research training (childhood experience, self-knowledge, and the reflective and critical condition, based on the subjectivity of the classroom, placing the trainee as an object of reflection and action in his/her researcher process.

  11. Basic science research in urology training

    Directory of Open Access Journals (Sweden)

    D Eberli

    2009-01-01

    In this article we will analyse the current status of basic research in urology training and discuss the importance of and obstacles to successful addition of research into the medical training curricula. Further, we will highlight different opportunities for trainees to obtain significant research exposure in urology.

  12. The collaborative African genomics network training program: A trainee perspective on training the next generation of African scientists

    Science.gov (United States)

    The Collaborative African Genomics Network (CAfGEN) aims to establish sustainable genomics research programs in Botswana and Uganda through long-term training of PhD students from these countries at Baylor College of Medicine. Here, we present an overview of the CAfGEN PhD training program alongside...

  13. Attention theory and training research

    Science.gov (United States)

    Connelly, James G., Jr.; Wickens, Christopher D.; Lintern, Gavan; Harwood, Kelly

    1987-01-01

    This study used elements of attention theory as a methodological basis to decompose a complex training task in order to improve training efficiency. The complex task was a microcomputer flight simulation where subjects were required to control the stability of their own helicopter while acquiring and engaging enemy helicopers in a threat enviroment. Subjects were divided into whole-task, part-task, and part/open loop adaptive task groups in a transfer of training paradigm. The effect of reducing mental workload at the early stages of learning was examined with respect to the degree that subordinate elements of the complex task could be automated through practice of consistent, learnable stimulus-response relationships. Results revealed trends suggesting the benefit of isolating consistently mapped sub-tasks for part-task training and the presence of a time-sharing skill over and above the skill required for the separate subtasks.

  14. What the training of a neuronal network optimizes.

    Science.gov (United States)

    Tabor, Zbisław

    2007-09-01

    In the study a model of training of neuronal networks built of integrate-and-fire neurons is investigated. Neurons are assembled into complex networks of Watts-Strogatz type. Every neuronal network contains a single receptor neuron. The receptor neuron, stimulated by an external signal, evokes spikes in equal time intervals. The spikes generated by the receptor neuron induce subsequent activity of a whole network. The depolarization signals, traveling the network, modify synaptic couplings according to a kick-and-delay rule, whose process is termed "training." It is shown that the training decreases the mean length of paths along which a depolarization signal is transmitted from the receptor neuron. Consequently, the training also decreases the reaction time and the energy expense necessary for the network to react to the external stimulus. It is shown that the initial distribution of synaptic couplings crucially determines the performance of trained networks.

  15. Training product unit neural networks with genetic algorithms

    Science.gov (United States)

    Janson, D. J.; Frenzel, J. F.; Thelen, D. C.

    1991-01-01

    The training of product neural networks using genetic algorithms is discussed. Two unusual neural network techniques are combined; product units are employed instead of the traditional summing units and genetic algorithms train the network rather than backpropagation. As an example, a neural netork is trained to calculate the optimum width of transistors in a CMOS switch. It is shown how local minima affect the performance of a genetic algorithm, and one method of overcoming this is presented.

  16. Local Governance and ICT Research Network for Africa | IDRC ...

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

    ... promote principles of good governance, and encourage public participation and consultation. The African Training and Research Centre in Administration for Development (CAFRAD) will coordinate the network, ensuring effective implementation, a pan-African outlook and high-level dissemination of research results.

  17. Research Assistant Training Manual: Focus Groups

    Science.gov (United States)

    Eaton, Sarah Elaine

    2017-01-01

    This manual is a practical training guide for graduate and undergraduate research assistants (RAs) working in the Werklund School of Education, University of Calgary. It may also be applicable to research assistants working in other fields or institutions. The purpose of this manual is to train RAs on how to plan and conduct focus groups for…

  18. Education Research: Neurology training reassessed

    Science.gov (United States)

    Maas, Matthew B.; Coleman, Mary; Jozefowicz, Ralph; Engstrom, John

    2012-01-01

    Objective: To assess the strengths and weaknesses of neurology resident education using survey methodology. Methods: A 27-question survey was sent to all neurology residents completing residency training in the United States in 2011. Results: Of eligible respondents, 49.8% of residents returned the survey. Most residents believed previously instituted duty hour restrictions had a positive impact on resident quality of life without impacting patient care. Most residents rated their faculty and clinical didactics favorably. However, many residents reported suboptimal preparation in basic neuroscience and practice management issues. Most residents (71%) noted that the Residency In-service Training Examination (RITE) assisted in self-study. A minority of residents (14%) reported that the RITE scores were used for reasons other than self-study. The vast majority (86%) of residents will enter fellowship training following residency and were satisfied with the fellowship offers they received. Conclusions: Graduating residents had largely favorable neurology training experiences. Several common deficiencies include education in basic neuroscience and clinical practice management. Importantly, prior changes to duty hours did not negatively affect the resident perception of neurology residency training. PMID:23091077

  19. Modeling management of research and education networks

    NARCIS (Netherlands)

    Galagan, D.V.

    2004-01-01

    Computer networks and their services have become an essential part of research and education. Nowadays every modern R&E institution must have a computer network and provide network services to its students and staff. In addition to its internal computer network, every R&E institution must have a

  20. Research Training in the Biomedical, Behavioral, and Clinical Research Sciences

    Science.gov (United States)

    National Academies Press, 2011

    2011-01-01

    Comprehensive research and a highly-trained workforce are essential for the improvement of health and health care both nationally and internationally. During the past 40 years the National Research Services Award (NRSA) Program has played a large role in training the workforce responsible for dramatic advances in the understanding of various…

  1. Prostate Cancer Research Training Program

    Science.gov (United States)

    2017-09-01

    the research program by each mentor will certainly produce important research findings, aided in part by the summer research of...our "translational" research in the form of clinical trials of our adenovirus vaccine in men with prostate cancer. Important in these trials is the ...epidemiology, and treatment. Living in Iowa City for the Summer Housing and Meals - All students will be housed in the one of the residence halls on the

  2. Embedding HIV Mentoring Programs in HIV Research Networks.

    Science.gov (United States)

    Fernández, M Isabel; Wheeler, Darrell P; Alfonso, Sarah V

    2016-09-01

    Responding to the demands of the HIV/AIDS epidemic necessitates a diverse scientific and clinical workforce trained in applying interdisciplinary research approaches to address the epidemic domestically and internationally. Ensuring diversity in our workforce requires concerted efforts. Yet, the majority of graduate and post-graduate programs are ill-equipped to provide this type of training. Research networks, the HPTN, HVTN, CFAR and ATN, are uniquely positioned to implement interdisciplinary mentoring programs and all four have done so. We describe these programs, the nuts and bolts of program implementation and efforts to recruit and retain diversity scholars. We outline some inherent challenges such as competing demands for network resources or tension in aligning scholars' research agenda with that of the networks. We argue that the benefits to be gained from continuing these programs far outweigh their costs and that these programs are an essential component of a comprehensive strategy for developing the future HIV research workforce.

  3. Rescuing policy in tourism network research

    DEFF Research Database (Denmark)

    Dredge, Dianne

    2018-01-01

    Networks provide a powerful lens to understand complex relational entanglements that are transforming social, economic and political life. Through a discussion of the various streams of network research in tourism, this paper argues that policy matters run across and throughout these strands....... Rather than arguing for increased interest in tourism policy network research as a separate subfield, the paper argues for deeper theoretical engagement with the policy dimension in tourism network research. Researchers adopting a network ontology could gain considerable insights and open up new lines...

  4. Behaviour in O of the Neural Networks Training Cost

    DEFF Research Database (Denmark)

    Goutte, Cyril

    1998-01-01

    We study the behaviour in zero of the derivatives of the cost function used when training non-linear neural networks. It is shown that a fair number offirst, second and higher order derivatives vanish in zero, validating the belief that 0 is a peculiar and potentially harmful location....... These calculations arerelated to practical and theoretical aspects of neural networks training....

  5. Pseudogradient Training For A Class Of Neural Networks

    Science.gov (United States)

    Zeng, Zheng; Goodman, Rodney M.; Smyth, Padhraic J.

    1995-01-01

    Developmental second-order recurrent neural networks of special type modified to enhance stability in face of inputs beyond range of inputs on which trained. Second-order recurrent neural networks contain product feedback units and can be trained, by use of example inputs and outputs, to act as finite-state automatons. Particular second-order recurrent neural networks in question learn grammars in sense they are trained to generate binary responses to input training sequences of ones and zeros, each sequence being marked "legal" or "illegal" according to grammar to be learned.

  6. Research on the model of home networking

    Science.gov (United States)

    Yun, Xiang; Feng, Xiancheng

    2007-11-01

    It is the research hotspot of current broadband network to combine voice service, data service and broadband audio-video service by IP protocol to transport various real time and mutual services to terminal users (home). Home Networking is a new kind of network and application technology which can provide various services. Home networking is called as Digital Home Network. It means that PC, home entertainment equipment, home appliances, Home wirings, security, illumination system were communicated with each other by some composing network technology, constitute a networking internal home, and connect with WAN by home gateway. It is a new network technology and application technology, and can provide many kinds of services inside home or between homes. Currently, home networking can be divided into three kinds: Information equipment, Home appliances, Communication equipment. Equipment inside home networking can exchange information with outer networking by home gateway, this information communication is bidirectional, user can get information and service which provided by public networking by using home networking internal equipment through home gateway connecting public network, meantime, also can get information and resource to control the internal equipment which provided by home networking internal equipment. Based on the general network model of home networking, there are four functional entities inside home networking: HA, HB, HC, and HD. (1) HA (Home Access) - home networking connects function entity; (2) HB (Home Bridge) Home networking bridge connects function entity; (3) HC (Home Client) - Home networking client function entity; (4) HD (Home Device) - decoder function entity. There are many physical ways to implement four function entities. Based on theses four functional entities, there are reference model of physical layer, reference model of link layer, reference model of IP layer and application reference model of high layer. In the future home network

  7. Training and Certification of Research Reactor Personnel

    International Nuclear Information System (INIS)

    Zarina Masood

    2011-01-01

    The safe operation of a research reactor requires that reactor personnel be fully trained and certified by the relevant authorities. Reactor operators at PUSPATI TRIGA Reactor underwent extensive training and are certified, ever since the reactor first started its operation in 1982. With the emphasis on enhancing reactor safety in recent years, reactor operator training and certification have also evolved. This paper discusses the changes that have to be implemented and the challenges encountered in developing a new training programme to be in line with the national standards. (author)

  8. Distributed algorithm to train neural networks using the Map Reduce paradigm

    Directory of Open Access Journals (Sweden)

    Cristian Mihai BARCA

    2017-07-01

    Full Text Available With rapid development of powerful computer systems during past decade, parallel and distributed processing becomes a significant resource for fast neural network training, even for real-time processing. Different parallel computing based methods have been proposed in recent years for the development of system performance. The two main methods are to distribute the patterns that are used for training - training set level parallelism, or to distribute the computation performed by the neural network - neural network level parallelism. In the present research work we have focused on the first method.

  9. A Study of Social Networks for Maritime Education and Training

    OpenAIRE

    Tomoki Takimoto; Masao Furusho

    2016-01-01

    This study analyzes the role played by social networks in maritime education and training. The objective of this study is to investigate the shortage of seafarers in maritime global transportation, as mentioned by the BIMCO. The authors divide the processes of maritime education and training into two categories: “Maritime educational institute” and “Maritime Company.” These are not systematically connected but are found in the processes between social networks; it has the social networks to b...

  10. Training young researchers to influence telecommunications policy ...

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

    2016-05-02

    May 2, 2016 ... Some 125 young researchers have received training in research methods, communicating for policy influence, and the economics of communications infrastructure. Researchers from 40 countries in Asia, Africa, and Latin America have presented more than 100 papers throughout the project lifecycle. So far ...

  11. Prostate Cancer Research Training Program

    Science.gov (United States)

    2012-05-01

    brief description of research in the la boratories of each University of Iowa mentor. At this point in time the program is 8 weeks long...www.uihealthcare.com/depts/med/urology/urolo gymds/luo.html A major research project in our la boratory is to develop a novel therapeutic...wright.shtml?menu =1&tab=facultyTab The Wright Labo ratory is focuse d on defining the composition, activity, and overall cellul ar function of

  12. Introduction to the EC's Marie Curie Initial Training Network (MC-ITN) project: Particle Training Network for European Radiotherapy (PARTNER)

    CERN Document Server

    Dosanjh, Manjit

    2013-01-01

    PARTNER (Particle Training Network for European Radiotherapy) is a project funded by the European Commission’s Marie Curie-ITN funding scheme through the ENLIGHT Platform for 5.6 million Euro. PARTNER has brought together academic institutes, research centres and leading European companies, focusing in particular on a specialized radiotherapy (RT) called hadron therapy (HT), interchangeably referred to as particle therapy (PT). The ultimate goal of HT is to deliver more effective treatment to cancer patients leading to major improvement in the health of citizens. In Europe, several hundred million Euro have been invested, since the beginning of this century, in PT. In this decade, the use of HT is rapidly growing across Europe, and there is an urgent need for qualified researchers from a range of disciplines to work on its translational research. In response to this need, the European community of HT, and in particular 10 leading academic institutes, research centres, companies and small and medium-sized en...

  13. Using Social Network Research in HRM

    DEFF Research Database (Denmark)

    Kaše, Robert; King, Zella; Minbaeva, Dana

    2013-01-01

    ; the impact of social networking sites on perceptions of relationships; and ethical issues in organizational network analysis, we propose specific suggestions to bring social network perspectives closer to HRM researchers and practitioners and rebalance our attention to people and to their relationships....

  14. Training Regions Research Strategy 2011-2013

    OpenAIRE

    Becker, Per

    2011-01-01

    Our world is changing and cities and regions are increasingly understood not only as places, but also as vital hubs in national and global networks, through which people, capital, goods and services flow to ensure the functioning of society, as we know it. People and capital are increasingly concentrated in these hubs, which aside of positive effects on efficiency also is associated with challenges for safety, security and sustainability. Training Regions is a public-privat...

  15. Breast Cancer Research Training Grant

    Science.gov (United States)

    1997-10-01

    Pharmacology and Experimental Therapeutics Program in Research on Women-s Health Female Reproductive Aging : A Window into the Aging Brain Phyllis M. Wise...of luteinizing hormone-releasing hormone neuronal function. - PLEASE POST Phone: 638-4500 Department of B0Si PATHOLOGYI and Laboratory Medicine Boston...AT 1:00 SEPTEMBER 26 Jacob Sloane Brain inflammation in pathologic aging . Department of Pathology & Laboratory Medicine OCTOBER 3 Dr. Sun Tam The

  16. Neural network training by Kalman filtering in process system monitoring

    International Nuclear Information System (INIS)

    Ciftcioglu, Oe.

    1996-03-01

    Kalman filtering approach for neural network training is described. Its extended form is used as an adaptive filter in a nonlinear environment of the form a feedforward neural network. Kalman filtering approach generally provides fast training as well as avoiding excessive learning which results in enhanced generalization capability. The network is used in a process monitoring application where the inputs are measurement signals. Since the measurement errors are also modelled in Kalman filter the approach yields accurate training with the implication of accurate neural network model representing the input and output relationships in the application. As the process of concern is a dynamic system, the input source of information to neural network is time dependent so that the training algorithm presents an adaptive form for real-time operation for the monitoring task. (orig.)

  17. Action Research as a Network

    DEFF Research Database (Denmark)

    Boulus-Rødje, Nina

    2012-01-01

    and interventions come to exist. Thus, interventions and roles can be seen as network effects—they are enacted and supported by the network. Accordingly, roles and interventions are neither simply static and fixed nor fluid and flexible; rather, these are products of past and present attachments. I demonstrate how...

  18. Strategic Research, Post-modern Universities and Research Training

    NARCIS (Netherlands)

    Rip, Arie

    2004-01-01

    The old division of labour between fundamental and applied or problem-oriented research has almost disappeared, and with it, the functional distinctions between universities, public labs and industrial and other private research. Doctoral research training can then also become diversified in terms

  19. Integrating Research Skills Training into Non--Research Methods Courses

    Science.gov (United States)

    Woolf, Jules

    2014-01-01

    Research skills are a valued commodity by industry and university administrators. Despite the importance placed on these skills students typically dislike taking research method courses where these skills are learned. However, training in research skills does not necessarily have to be confined to these courses. In this study participants at a…

  20. Research of ad hoc network based on SINCGARS network

    Science.gov (United States)

    Nie, Hao; Cai, Xiaoxia; Chen, Hong; Chen, Jian; Weng, Pengfei

    2016-03-01

    In today's world, science and technology make a spurt of progress, so society has entered the era of information technology, network. Only the comprehensive use of electronic warfare and network warfare means can we maximize their access to information and maintain the information superiority. Combined with the specific combat mission and operational requirements, the research design and construction in accordance with the actual military which are Suitable for the future of information technology needs of the tactical Adhoc network, tactical internet, will greatly improve the operational efficiency of the command of the army. Through the study of the network of the U.S. military SINCGARS network, it can explore the routing protocol and mobile model, to provide a reference for the research of our army network.

  1. Using Network Science to Support Design Research

    DEFF Research Database (Denmark)

    Parraguez Ruiz, Pedro; Maier, Anja

    2016-01-01

    and societal impact. This chapter contributes to the use of network science in empirical studies of design organisations. It focuses on introducing a network-based perspective on the design process and in particular on making use of network science to support design research and practice. The main contribution......A network-based perspective on designing permits research on the complexity of product, process, and people interactions. Strengthened by the latest advances in information technologies and accessibility of data, a network-based perspective and use of appropriate network analysis metrics, theories......, and tools allow us to explore new data-driven research approaches in design. These approaches allow us to move from counting to connecting, meaning to explicitly link disconnected pieces of data, information, and knowledge, and thus to answer far-reaching research questions with strong industrial...

  2. Action Research as a Network

    DEFF Research Database (Denmark)

    Boulus-Rødje, Nina

    2012-01-01

    and interventions come to exist. Thus, interventions and roles can be seen as network effects—they are enacted and supported by the network. Accordingly, roles and interventions are neither simply static and fixed nor fluid and flexible; rather, these are products of past and present attachments. I demonstrate how...... the different attachments existing in the network at different points in time enable the configuration of particular actors with capacities to enact different roles and interventions in a diversity of contexts and settings. Finally, I illustrate what happens when these attachments are missing and how...

  3. IAEA Activities supporting education and training at research reactors

    International Nuclear Information System (INIS)

    Peld, N.D.; Ridikas, D.

    2013-01-01

    Full-text: Through the provision of neutrons for experiments and their historical association with universities, research reactors have played a prominent role in nuclear education and training of students, scientists and radiation workers. Today education and training remains the foremost application of research reactors, involving close to 160 facilities out of 246 operational. As part of its mandate to facilitate and expand the contribution of atomic energy to peace, health and prosperity throughout the world, the IAEA administers a number of activities intended to promote nuclear research and enable access to nuclear technology for peaceful purposes, one of which is the support of various education and training measures involving research reactors. In the last 5 years, education and training has formed one pillar for the creation of research reactor coalitions and networks to pool their resources and offer joint programmes, such as the on-going Group Fellowship Training Course. Conducted mainly through the Eastern European Research Reactor Initiative, this programme is a periodic sic week course for young scientists and engineers on nuclear techniques and administration jointly conducted at several member research reactor institutes. Organization of similar courses is under consideration in Latin America and the Asia-Pacific Region, also with support from the IAEA. Additionally, four research reactor institutes have begun offering practical education courses through virtual reactor experiments and operation known as the Internet Reactor Laboratory. Through little more than an internet connection and projection screens, university science departments can be connected regionally or bilaterally with the control room o a research reactor for various training activities. Finally, two publications are being prepared, namely Hands-On Training Courses Using Research Reactors and Accelerators, and Compendium on Education and training Based on Research Reactors. These

  4. International Nuclear Security Education Network (INSEN) and the Nuclear Security Training and Support Centre (NSSC) Network

    International Nuclear Information System (INIS)

    Nikonov, Dmitriy

    2013-01-01

    International Nuclear Security Education Network established in 2010: A partnership between the IAEA and universities, research institutions and other stakeholders - •Promotion of nuclear security education; • Development of educational materials; • Professional development for faculty members; • Collaborative research and resource sharing. Currently over 90 members from 38 member states. Mission: to enhance global nuclear security by developing, sharing and promoting excellence in nuclear security education. Nuclear Security Support Centre: Primary objectives are: • Develop human resources through the implementation of a tailored training programme; • Develop a network of experts; • Provide technical support for lifecycle equipment management and scientific support for the detection of and the response to nuclear security events

  5. Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction

    Directory of Open Access Journals (Sweden)

    Eiji Watanabe

    2018-03-01

    Full Text Available The cerebral cortex predicts visual motion to adapt human behavior to surrounding objects moving in real time. Although the underlying mechanisms are still unknown, predictive coding is one of the leading theories. Predictive coding assumes that the brain's internal models (which are acquired through learning predict the visual world at all times and that errors between the prediction and the actual sensory input further refine the internal models. In the past year, deep neural networks based on predictive coding were reported for a video prediction machine called PredNet. If the theory substantially reproduces the visual information processing of the cerebral cortex, then PredNet can be expected to represent the human visual perception of motion. In this study, PredNet was trained with natural scene videos of the self-motion of the viewer, and the motion prediction ability of the obtained computer model was verified using unlearned videos. We found that the computer model accurately predicted the magnitude and direction of motion of a rotating propeller in unlearned videos. Surprisingly, it also represented the rotational motion for illusion images that were not moving physically, much like human visual perception. While the trained network accurately reproduced the direction of illusory rotation, it did not detect motion components in negative control pictures wherein people do not perceive illusory motion. This research supports the exciting idea that the mechanism assumed by the predictive coding theory is one of basis of motion illusion generation. Using sensory illusions as indicators of human perception, deep neural networks are expected to contribute significantly to the development of brain research.

  6. Digital intelligent booster for DCC miniature train networks

    Science.gov (United States)

    Ursu, M. P.; Condruz, D. A.

    2017-08-01

    Modern miniature trains are now driven by means of the DCC (Digital Command and Control) system, which allows the human operator or a personal computer to launch commands to each individual train or even to control different features of the same train. The digital command station encodes these commands and sends them to the trains by means of electrical pulses via the rails of the railway network. Due to the development of the miniature railway network, it may happen that the power requirement of the increasing number of digital locomotives, carriages and accessories exceeds the nominal output power of the digital command station. This digital intelligent booster relieves the digital command station from powering the entire railway network all by itself, and it automatically handles the multiple powered sections of the network. This electronic device is also able to detect and process short-circuits and overload conditions, without the intervention of the digital command station.

  7. Neural Network Training on Human Body Core Temperature Data

    National Research Council Canada - National Science Library

    Sanders, Peter

    1999-01-01

    A multi-layer Adaptive Linear Element neural network computer program was trained with back-propagation on physiological response data from nine subjects walking on a treadmill in two simulated tropical environments...

  8. Training strategy for convolutional neural networks in pedestrian gender classification

    Science.gov (United States)

    Ng, Choon-Boon; Tay, Yong-Haur; Goi, Bok-Min

    2017-06-01

    In this work, we studied a strategy for training a convolutional neural network in pedestrian gender classification with limited amount of labeled training data. Unsupervised learning by k-means clustering on pedestrian images was used to learn the filters to initialize the first layer of the network. As a form of pre-training, supervised learning for the related task of pedestrian classification was performed. Finally, the network was fine-tuned for gender classification. We found that this strategy improved the network's generalization ability in gender classification, achieving better test results when compared to random weights initialization and slightly more beneficial than merely initializing the first layer filters by unsupervised learning. This shows that unsupervised learning followed by pre-training with pedestrian images is an effective strategy to learn useful features for pedestrian gender classification.

  9. Collaborative knowledge in catchment research networks

    Science.gov (United States)

    Macleod, Christopher Kit

    2015-04-01

    There is a need to improve the production, sharing and use of collaborative knowledge of catchment systems through networks of researchers, policy makers and practitioners. This requires greater levels of systems based integrative research. In parallel to the growing realization that greater levels of collaborative knowledge in scientific research networks are required, a digital revolution has been taking place. This has been driven primarily by the emergence of distributed networks of computers and standards-based interoperability. The objective of this paper is to present the status and research needs for greater levels of systems based integrative research for the production, sharing and use of collaborative knowledge in catchment research networks. To enable increased levels of integrative research depends on development and application of digital technologies to improve collection, use and sharing of data and devise new knowledge infrastructures. This paper focuses on the requirements for catchment observatories that integrate existing and novel physical, social and digital networks of knowledge infrastructures. To support this focus, I present three leading international examples of collaborative networks of catchment researchers and their development of catchment observatories. In particular, the digital infrastructures they have developed to support collaborative knowledge in catchment research networks. These examples are from North America (NSF funded CUAHSI HIS) and from Europe (UK NERC funded EVOp and the German Helmholtz Association Centers funded TERENO/TEODOOR). These exemplars all supported advancing collaborative knowledge in catchment research networks through the development of catchment observatories. I will conclude by discussing the future research directions required for greater levels of production, sharing and use of collaborative knowledge in catchment research networks based on catchment systems science.

  10. ISS Microgravity Research Payload Training Methodology

    Science.gov (United States)

    Schlagheck, Ronald; Geveden, Rex (Technical Monitor)

    2001-01-01

    The NASA Microgravity Research Discipline has multiple categories of science payloads that are being planned and currently under development to operate on various ISS on-orbit increments. The current program includes six subdisciplines; Materials Science, Fluids Physics, Combustion Science, Fundamental Physics, Cellular Biology and Macromolecular Biotechnology. All of these experiment payloads will require the astronaut various degrees of crew interaction and science observation. With the current programs planning to build various facility class science racks, the crew will need to be trained on basic core operations as well as science background. In addition, many disciplines will use the Express Rack and the Microgravity Science Glovebox (MSG) to utilize the accommodations provided by these facilities for smaller and less complex type hardware. The Microgravity disciplines will be responsible to have a training program designed to maximize the experiment and hardware throughput as well as being prepared for various contingencies both with anomalies as well as unexpected experiment observations. The crewmembers will need various levels of training from simple tasks as power on and activate to extensive training on hardware mode change out to observing the cell growth of various types of tissue cultures. Sample replacement will be required for furnaces and combustion type modules. The Fundamental Physics program will need crew EVA support to provide module change out of experiment. Training will take place various research centers and hardware development locations. It is expected that onboard training through various methods and video/digital technology as well as limited telecommunication interaction. Since hardware will be designed to operate from a few weeks to multiple research increments, flexibility must be planned in the training approach and procedure skills to optimize the output as well as the equipment maintainability. Early increment lessons learned

  11. Transfer of Training: Adding Insight through Social Network Analysis

    Science.gov (United States)

    Van den Bossche, Piet; Segers, Mien

    2013-01-01

    This article reviews studies which apply a social network perspective to examine transfer of training. The theory behind social networks focuses on the interpersonal mechanisms and social structures that exist among interacting units such as people within an organization. A premise of this perspective is that individual's behaviors and outcomes…

  12. Unsupervised pre-training for fully convolutional neural networks

    NARCIS (Netherlands)

    Wiehman, Stiaan; Kroon, Steve; Villiers, De Hendrik

    2017-01-01

    Unsupervised pre-Training of neural networks has been shown to act as a regularization technique, improving performance and reducing model variance. Recently, fully convolutional networks (FCNs) have shown state-of-The-Art results on various semantic segmentation tasks. Unfortunately, there is no

  13. Targeting molecular networks for drug research

    Directory of Open Access Journals (Sweden)

    José Pedro Pinto

    2014-06-01

    Full Text Available The study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks. This is especially true for human diseases, which can be regarded as manifestations of distorted states of molecular networks. Of the possible interventions for altering networks, the use of drugs is presently the most feasible. In this mini-review, we present and discuss some exemplary approaches of how analysis of molecular interaction networks can contribute to pharmacology (e.g., by identifying new drug targets or prediction of drug side effects, as well as listing pointers to relevant resources and software to guide future research. We also outline recent progress in the use of drugs for in vitro reprogramming of cells, which constitutes an example par excellence for altering molecular interaction networks with drugs.

  14. Army Selection and Training Research Interests

    Science.gov (United States)

    2008-12-02

    Simulation technology NATICK Soldier System Center • Food, clothing, shelter,… Communications- Electronics Research Development Center... Toothbrushes are made of ice. tool : toolbox :: toothbrush : ? freezer garage tool shed bathroom Findings: Predicts Soldier attrition. Prelim...Training and Leader Development Tactical & technical proficiency Interpersonal skills Cross- cultural competence Basic combat skills Leadership and

  15. Research: Clinical undergraduate medical student training at ...

    African Journals Online (AJOL)

    To profile the clinicians at Kimberley Hospital Complex in terms of their knowledge of, skills in and perspectives on the added responsibility of clinical undergraduate medical student training prior to the launch of the proposed undergraduate student rotations. Methods. The study followed a qualitative research design using ...

  16. African Network Operators Group (AfNOG) Training Workshops and ...

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

    The African Network Operators Group (AfNOG) is a forum for technical cooperation and coordination between African network operators and engineers from the ... Studies. Supporting learning and research : content opportunities for academic and research libraries / networks in Africa; presentation at AFREN 3, Rabat, 2008.

  17. Training the next generation of psychotraumatologists: COllaborative Network for Training and EXcellence in psychoTraumatology (CONTEXT).

    Science.gov (United States)

    Vallières, Frédérique; Hyland, Philip; Murphy, Jamie; Hansen, Maj; Shevlin, Mark; Elklit, Ask; Ceannt, Ruth; Armour, Cherie; Wiedemann, Nana; Munk, Mette; Dinesen, Cecilie; O'Hare, Geraldine; Cunningham, Twylla; Askerod, Ditte; Spitz, Pernille; Blackwell, Noeline; McCarthy, Angela; O'Dowd, Leonie; Scott, Shirley; Reid, Tracey; Mokake, Andreas; Halpin, Rory; Perera, Camila; Gleeson, Christina; Frost, Rachel; Flanagan, Natalie; Aldamman, Kinan; Tamrakar, Trina; Louison Vang, Maria; Sherwood, Larissa; Travers, Áine; Haahr-Pedersen, Ida; Walshe, Catherine; McDonagh, Tracey; Bramsen, Rikke Holm

    2018-01-01

    In this paper we present a description of the Horizon2020, Marie Skłodowska-Curie Action funded, research and training programme CONTEXT: COllaborative Network for Training and EXcellence in psychoTraumatology. The three objectives of the programme are put forward, each of which refers to a key component of the CONTEXT programme. First, we summarize the 12 individual research projects that will take place across three priority populations: (i) refugees and asylum seekers, (ii) first responders, and (iii) perpetrators and survivors of childhood and gender-based violence. Second, we detail the mentoring and training programme central to CONTEXT. Finally, we describe how the research, together with the training, will contribute towards better policy, guidelines, and practice within the field of psychotraumatology.

  18. Heroin assisted treatment and research networks

    DEFF Research Database (Denmark)

    Houborg, Esben; Munksgaard, Rasmus

    2015-01-01

    Purpose – The purpose of this paper is to map research communities related to heroin-assisted treatment (HAT) and the scientific network they are part of to determine their structure and content. Design/methodology/approach – Co-authorship as the basis for conducting social network analysis...

  19. Evolution of the Research Libraries Information Network.

    Science.gov (United States)

    Richards, David; Lerche, Carol

    1989-01-01

    Discusses current RLIN (Research Libraries Information Network) communications technology and motivations for change. Goals, topology, hardware, software, and protocol, terminal wiring, and deployment are considered. Sidebars provide a diagram of the current RLIN communications technology and describe the integrated RLIN network. (one reference)…

  20. Radiation protection personnel training in Research Reactors

    International Nuclear Information System (INIS)

    Fernandez, Carlos Dario; Lorenzo, Nestor Pedro de

    1996-01-01

    The RA-6 research reactor is considering the main laboratory in the training of different groups related with radiological protection. The methodology applied to several courses over 15 years of experience is shown in this work. The reactor is also involved in the construction, design, start-up and sell of different installation outside Argentina for this reason several theoretical and practical courses had been developed. The acquired experience obtained is shown in this paper and the main purpose is to show the requirements to be taken into account for every group (subjects, goals, on-job training, etc) (author)

  1. Defining translational research: implications for training.

    Science.gov (United States)

    Rubio, Doris McGartland; Schoenbaum, Ellie E; Lee, Linda S; Schteingart, David E; Marantz, Paul R; Anderson, Karl E; Platt, Lauren Dewey; Baez, Adriana; Esposito, Karin

    2010-03-01

    Because translational research is not clearly defined, developers of translational research programs are struggling to articulate specific program objectives, delineate the knowledge and skills (competencies) that trainees are expected to develop, create an appropriate curriculum, and track outcomes to assess whether program objectives and competency requirements are being met. Members of the Evaluation Committee of the Association for Clinical Research Training (ACRT) reviewed current definitions of translational research and proposed an operational definition to use in the educational framework. In this article, the authors posit that translational research fosters the multidirectional and multidisciplinary integration of basic research, patient-oriented research, and population-based research, with the long-term aim of improving the health of the public. The authors argue that the approach to designing and evaluating the success of translational training programs must therefore be flexible enough to accommodate the needs of individual institutions and individual trainees within the institutions but that it must also be rigorous enough to document that the program is meeting its short-, intermediate-, and long-term objectives and that its trainees are meeting preestablished competency requirements. A logic model is proposed for the evaluation of translational research programs.

  2. Action research in inter-organisational networks

    DEFF Research Database (Denmark)

    Goduscheit, René Chester; Rasmussen, Erik Stavnsager; Jørgensen, Jacob Høj

    2007-01-01

    -organisational network, this article discusses potential pitfalls in the legitimiser role. Lack of clarity in defining the researcher role and project ownership in relation to the funding organisation and the rest of the network can jeopardise the project and potentially the credibility of the researchers. The article......Traditionally, the literature on action research has been aimed at intra-organisational issues. These studies have distinguished between two researcher roles: The problem-solver and the observer. This article addresses the distinct challenges of action research in inter-organisational projects...

  3. The collaborative African genomics network training program: a trainee perspective on training the next generation of African scientists.

    Science.gov (United States)

    Mlotshwa, Busisiwe C; Mwesigwa, Savannah; Mboowa, Gerald; Williams, Lesedi; Retshabile, Gaone; Kekitiinwa, Adeodata; Wayengera, Misaki; Kyobe, Samuel; Brown, Chester W; Hanchard, Neil A; Mardon, Graeme; Joloba, Moses; Anabwani, Gabriel; Mpoloka, Sununguko W

    2017-07-01

    The Collaborative African Genomics Network (CAfGEN) aims to establish sustainable genomics research programs in Botswana and Uganda through long-term training of PhD students from these countries at Baylor College of Medicine. Here, we present an overview of the CAfGEN PhD training program alongside trainees' perspectives on their involvement. Historically, collaborations between high-income countries (HICs) and low- and middle-income countries (LMICs), or North-South collaborations, have been criticized for the lack of a mutually beneficial distribution of resources and research findings, often undermining LMICs. CAfGEN plans to address this imbalance in the genomics field through a program of technology and expertise transfer to the participating LMICs. An overview of the training program is presented. Trainees from the CAfGEN project summarized their experiences, looking specifically at the training model, benefits of the program, challenges encountered relating to the cultural transition, and program outcomes after the first 2 years. Collaborative training programs like CAfGEN will not only help establish sustainable long-term research initiatives in LMICs but also foster stronger North-South and South-South networks. The CAfGEN model offers a framework for the development of training programs aimed at genomics education for those for whom genomics is not their "first language." Genet Med advance online publication 06 April 2017.

  4. Efficient VLSI Architecture for Training Radial Basis Function Networks

    Science.gov (United States)

    Fan, Zhe-Cheng; Hwang, Wen-Jyi

    2013-01-01

    This paper presents a novel VLSI architecture for the training of radial basis function (RBF) networks. The architecture contains the circuits for fuzzy C-means (FCM) and the recursive Least Mean Square (LMS) operations. The FCM circuit is designed for the training of centers in the hidden layer of the RBF network. The recursive LMS circuit is adopted for the training of connecting weights in the output layer. The architecture is implemented by the field programmable gate array (FPGA). It is used as a hardware accelerator in a system on programmable chip (SOPC) for real-time training and classification. Experimental results reveal that the proposed RBF architecture is an effective alternative for applications where fast and efficient RBF training is desired. PMID:23519346

  5. Accelerating deep neural network training with inconsistent stochastic gradient descent.

    Science.gov (United States)

    Wang, Linnan; Yang, Yi; Min, Renqiang; Chakradhar, Srimat

    2017-09-01

    Stochastic Gradient Descent (SGD) updates Convolutional Neural Network (CNN) with a noisy gradient computed from a random batch, and each batch evenly updates the network once in an epoch. This model applies the same training effort to each batch, but it overlooks the fact that the gradient variance, induced by Sampling Bias and Intrinsic Image Difference, renders different training dynamics on batches. In this paper, we develop a new training strategy for SGD, referred to as Inconsistent Stochastic Gradient Descent (ISGD) to address this problem. The core concept of ISGD is the inconsistent training, which dynamically adjusts the training effort w.r.t the loss. ISGD models the training as a stochastic process that gradually reduces down the mean of batch's loss, and it utilizes a dynamic upper control limit to identify a large loss batch on the fly. ISGD stays on the identified batch to accelerate the training with additional gradient updates, and it also has a constraint to penalize drastic parameter changes. ISGD is straightforward, computationally efficient and without requiring auxiliary memories. A series of empirical evaluations on real world datasets and networks demonstrate the promising performance of inconsistent training. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. African Transitional Justice Research Network | IDRC - International ...

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

    ... the creation and sustainable expansion of an electronically-based research network on options and lessons learned pertaining to transitional justice. A second objective is to build the capacity of 75 African human rights researchers to produce locally based research and carry out evidence-based human rights advocacy.

  7. Interventionist Research as a Network

    DEFF Research Database (Denmark)

    Boulus, Nina

    2010-01-01

    as a response to growing concerns with making STS ‘useful’ and politically relevant. The fundamental characteristic of interventionist and action-oriented research, is that the researcher is deliberately and explicitly engaged in a process of change through collaboration with a community partner. However...... epistemological stance, I trace the trajectory of the research collaboration and the different roles and positions I occupied or acquired in a diversity of contexts and settings. To better understand the complex nature of collaboration found within interventionist research projects, I draw upon insights from......In the past three decades, we have been witnessing a development in social studies which has been described by STS scholars as the ‘participatory turn.’ This refers to a move toward various types of interventionist and action-oriented research. This turn to participation and action emerged...

  8. The Conundrum of Training and Capacity Building for People with Learning Disabilities Doing Research

    Science.gov (United States)

    Nind, Melanie; Chapman, Rohhss; Seale, Jane; Tilley, Liz

    2016-01-01

    Background: This study explores the training involved when people with learning disabilities take their place in the community as researchers. This was a theme in a recent UK seminar series where a network of researchers explored pushing the boundaries of participatory research. Method: Academics, researchers with learning disabilities, supporters…

  9. Effective neural network training with adaptive learning rate based on training loss.

    Science.gov (United States)

    Takase, Tomoumi; Oyama, Satoshi; Kurihara, Masahito

    2018-02-13

    A method that uses an adaptive learning rate is presented for training neural networks. Unlike most conventional updating methods in which the learning rate gradually decreases during training, the proposed method increases or decreases the learning rate adaptively so that the training loss (the sum of cross-entropy losses for all training samples) decreases as much as possible. It thus provides a wider search range for solutions and thus a lower test error rate. The experiments with some well-known datasets to train a multilayer perceptron show that the proposed method is effective for obtaining a better test accuracy under certain conditions. Copyright © 2018 Elsevier Ltd. All rights reserved.

  10. A proposed international watershed research network

    Science.gov (United States)

    Osterkamp, W.R.; Gray, J.R.

    2003-01-01

    An “International Watershed Research Network” is to be an initial project of the Sino-U. S. Centers for Soil and Water Conservation and Environmental Protection. The Network will provide a fundamental database for research personnel of the Centers, as well as of the global research community, and is viewed as an important resource for their successful operation. Efforts are under way to (a) identify and select candidate watersheds, (b) develop standards and protocols for data collection and dissemination, and (c) specify other data sources on erosion, sediment transport, hydrology, and ancillary information of probable interest and use to participants of the Centers. The initial focus of the Network will be on water-deficient areas. Candidate watersheds for the Network are yet to be determined although likely selections include the Ansai Research Station, northern China, and the Walnut Gulch Experimental Watershed, Arizona, USA. The Network is to be patterned after the Vigil Network, an open-ended group of global sites and small drainage basins for which Internet-accessible geomorphic, hydrologic, and biological data are periodically collected or updated. Some types of data, using similar instruments and observation methods, will be collected at all watersheds selected for the Network. Other data from the watersheds that may reflect individual watershed characteristics and research objectives will be collected as well.

  11. Education and Training on ISIS Research Reactor

    Energy Technology Data Exchange (ETDEWEB)

    Foulon, F.; Badeau, G.; Lescop, B.; Wohleber, X. [French Atomic Energy and Alternative Energies Commission, Paris (France)

    2013-07-01

    In the frame of academic and vocational programs the National Institute for Nuclear Science and Technology uses the ISIS research reactor as a major tool to ensure a practical and comprehensive understanding of the nuclear reactor physics, principles and operation. A large set of training courses have been developed on ISIS, optimising both the content of the courses and the pedagogical approach. Programs with duration ranging from 3 hours (introduction to reactor operation) to 24 hours (full program for the future operators of research reactors) are carried out on ISIS reactor. The reactor is operated about 350 hours/year for education and training, about 40 % of the courses being carried out in English. Thus, every year about 400 trainees attend training courses on ISIS reactor. We present here the ISIS research reactor and the practical courses that have been developed on ISIS reactor. Emphasis is given to the pedagogical method which is used to focus on the operational and safety aspects, both in normal and incidental operation. We will present the curricula of the academic and vocational courses in which the practical courses are integrated, the courses being targeted to a wide public, including operators of research reactors, engineers involved in the design and operation of nuclear reactors as well as staff of the regulatory body. We address the very positive impact of the courses on the development of the competences and skills of participants. Finally, we describe the Internet Reactor Laboratories (IRL) that are under development and will consist in broadcasting the training courses via internet to remote facilities or institutions.

  12. Education and Training on ISIS Research Reactor

    International Nuclear Information System (INIS)

    Foulon, F.; Badeau, G.; Lescop, B.; Wohleber, X.

    2013-01-01

    In the frame of academic and vocational programs the National Institute for Nuclear Science and Technology uses the ISIS research reactor as a major tool to ensure a practical and comprehensive understanding of the nuclear reactor physics, principles and operation. A large set of training courses have been developed on ISIS, optimising both the content of the courses and the pedagogical approach. Programs with duration ranging from 3 hours (introduction to reactor operation) to 24 hours (full program for the future operators of research reactors) are carried out on ISIS reactor. The reactor is operated about 350 hours/year for education and training, about 40 % of the courses being carried out in English. Thus, every year about 400 trainees attend training courses on ISIS reactor. We present here the ISIS research reactor and the practical courses that have been developed on ISIS reactor. Emphasis is given to the pedagogical method which is used to focus on the operational and safety aspects, both in normal and incidental operation. We will present the curricula of the academic and vocational courses in which the practical courses are integrated, the courses being targeted to a wide public, including operators of research reactors, engineers involved in the design and operation of nuclear reactors as well as staff of the regulatory body. We address the very positive impact of the courses on the development of the competences and skills of participants. Finally, we describe the Internet Reactor Laboratories (IRL) that are under development and will consist in broadcasting the training courses via internet to remote facilities or institutions

  13. Biological and Environmental Research Network Requirements

    Energy Technology Data Exchange (ETDEWEB)

    Balaji, V. [Princeton Univ., NJ (United States). Earth Science Grid Federation (ESGF); Boden, Tom [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Cowley, Dave [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Dart, Eli [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Dattoria, Vince [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Desai, Narayan [Argonne National Lab. (ANL), Argonne, IL (United States); Egan, Rob [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Foster, Ian [Argonne National Lab. (ANL), Argonne, IL (United States); Goldstone, Robin [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Gregurick, Susan [U.S. Dept. of Energy, Washington, DC (United States). Biological Systems Science Division; Houghton, John [U.S. Dept. of Energy, Washington, DC (United States). Biological and Environmental Research (BER) Program; Izaurralde, Cesar [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Johnston, Bill [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Joseph, Renu [U.S. Dept. of Energy, Washington, DC (United States). Climate and Environmental Sciences Division; Kleese-van Dam, Kerstin [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Lipton, Mary [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Monga, Inder [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Pritchard, Matt [British Atmospheric Data Centre (BADC), Oxon (United Kingdom); Rotman, Lauren [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Strand, Gary [National Center for Atmospheric Research (NCAR), Boulder, CO (United States); Stuart, Cory [Argonne National Lab. (ANL), Argonne, IL (United States); Tatusova, Tatiana [National Inst. of Health (NIH), Bethesda, MD (United States); Tierney, Brian [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Thomas, Brian [Univ. of California, Berkeley, CA (United States); Williams, Dean N. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Zurawski, Jason [Internet2, Washington, DC (United States)

    2013-09-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet be a highly successful enabler of scientific discovery for over 25 years. In November 2012, ESnet and the Office of Biological and Environmental Research (BER) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the BER program office. Several key findings resulted from the review. Among them: 1) The scale of data sets available to science collaborations continues to increase exponentially. This has broad impact, both on the network and on the computational and storage systems connected to the network. 2) Many science collaborations require assistance to cope with the systems and network engineering challenges inherent in managing the rapid growth in data scale. 3) Several science domains operate distributed facilities that rely on high-performance networking for success. Key examples illustrated in this report include the Earth System Grid Federation (ESGF) and the Systems Biology Knowledgebase (KBase). This report expands on these points, and addresses others as well. The report contains a findings section as well as the text of the case studies discussed at the review.

  14. The smart grid research network

    DEFF Research Database (Denmark)

    Troi, Anders; Jørgensen, Bo Nørregaard; Larsen, Emil Mahler

    2013-01-01

    Grid Network’s recommendations’, which relate to strengthening and marketing the research infrastructure that will position Denmark as the global hub for Smart Grid development; strengthening basic research into the complex relationships in electric systems with large quantities of independent parties...... for Smart Grid research, development and demonstration It is recommended that the electricity sector invite the Ministry to participate in the creation of a road map to ensure that solutions are implemented and coordinated with related policy areas. The sector should also establish a fast-acting working...... group with representatives from universities, distribution companies and the electric industry, in order to produce a mutual, binding schedule for the RDD of the Smart Grid in Denmark. Time prioritisation of part-recommendation: 2011-2012 Responsibility for implementation of part...

  15. Creatiing a Collaborative Research Network for Scientists

    Science.gov (United States)

    Gunn, W.

    2012-12-01

    This abstract proposes a discussion of how professional science communication and scientific cooperation can become more efficient through the use of modern social network technology, using the example of Mendeley. Mendeley is a research workflow and collaboration tool which crowdsources real-time research trend information and semantic annotations of research papers in a central data store, thereby creating a "social research network" that is emergent from the research data added to the platform. We describe how Mendeley's model can overcome barriers for collaboration by turning research papers into social objects, making academic data publicly available via an open API, and promoting more efficient collaboration. Central to the success of Mendeley has been the creation of a tool that works for the researcher without the requirement of being part of an explicit social network. Mendeley automatically extracts metadata from research papers, and allows a researcher to annotate, tag and organize their research collection. The tool integrates with the paper writing workflow and provides advanced collaboration options, thus significantly improving researchers' productivity. By anonymously aggregating usage data, Mendeley enables the emergence of social metrics and real-time usage stats on top of the articles' abstract metadata. In this way a social network of collaborators, and people genuinely interested in content, emerges. By building this research network around the article as the social object, a social layer of direct relevance to academia emerges. As science, particularly Earth sciences with their large shared resources, become more and more global, the management and coordination of research is more and more dependent on technology to support these distributed collaborations.

  16. Research Ethics with Undergraduates in Summer Research Training Programs

    Science.gov (United States)

    Cheung, I.; Yalcin, K.

    2016-02-01

    Many undergraduate research training programs incorporate research ethics into their programs and some are required. Engaging students in conversations around challenging topics such as conflict of interest, cultural and gender biases, what is science and what is normative science can difficult in newly formed student cohorts. In addition, discussing topics with more distant impacts such as science and policy, intellectual property and authorship, can be difficult for students in their first research experience that have more immediate concerns about plagiarism, data manipulation, and the student/faculty relationship. Oregon State University's Research Experience for Undergraduates (REU) in Ocean Sciences: From Estuaries to the Deep Sea as one model for incorporating a research ethics component into summer undergraduate research training programs. Weaved into the 10-week REU program, undergraduate interns participate in a series of conversations and a faculty mentor panel focused on research ethics. Topics discussed are in a framework for sharing myths, knowledge and personal experiences on issues in research with ethical implications. The series follows guidelines and case studies outlined from the text, On Being A Scientist: Responsible Conduct In Research Committee on Science, Engineering, and Public Policy, National Academy of Sciences.

  17. Research Award: Information and Networks

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

    IDRC CRDI

    mentorship allow award holders to pursue their research goals and work in one of IDRC's dynamic program or ... governance, education, entrepreneurship, as well as collaborative models for participation and organization. ... What role do collaborative technologies (e.g., social media) play in social innovation and change?

  18. Role of physical and mental training in brain network configuration.

    Science.gov (United States)

    Foster, Philip P

    2015-01-01

    It is hypothesized that the topology of brain networks is constructed by connecting nodes which may be continuously remodeled by appropriate training. Efficiency of physical and/or mental training on the brain relies on the flexibility of networks' architecture molded by local remodeling of proteins and synapses of excitatory neurons producing transformations in network topology. Continuous remodeling of proteins of excitatory neurons is fine-tuning the scaling and strength of excitatory synapses up or down via regulation of intra-cellular metabolic and regulatory networks of the genome-transcriptome-proteome interface. Alzheimer's disease is a model of "energy cost-driven small-world network disorder" with dysfunction of high-energy cost wiring as the network global efficiency is impaired by the deposition of an informed agent, the amyloid-β, selectively targeting high-degree nodes. In schizophrenia, the interconnectivity and density of rich-club networks are significantly reduced. Training-induced homeostatic synaptogenesis-enhancement, presumably via reconfiguration of brain networks into greater small-worldness, appears essential in learning, memory, and executive functions. A macroscopic cartography of creation-removal of synaptic connections in a macro-network, and at the intra-cellular scale, micro-networks regulate the physiological mechanisms for the preferential attachment of synapses. The strongest molecular relationship of exercise and functional connectivity was identified for brain-derived neurotrophic factor (BDNF). The allele variant, rs7294919, also shows a powerful relationship with the hippocampal volume. How the brain achieves this unique quest of reconfiguration remains a puzzle. What are the underlying mechanisms of synaptogenesis promoting communications brain ↔ muscle and brain ↔ brain in such trainings? What is the respective role of independent mental, physical, or combined-mental-physical trainings? Physical practice seems to be

  19. Inr training programme in nuclear research

    International Nuclear Information System (INIS)

    Cretu, I.; Ionila, M.; Gyongyosi, E.; Dragan, E.; Petra, M.

    2013-01-01

    The field of scientific research goes through rapid changes to which organizations must dinamically and efficiently adapt, which leads to the need to develop a continuous learning process that should be the basis for a long-term operational performance. Thus, human resource management systems and continuous learning should be perfectly correlated/alligned with the organizational strategy and knowledge. The research institutes through the nature of their activity are constantly undergoing a transformation process by exploring new research areas which presumes ensuring competent human resources who have to continuously learn and improve. The «learning organization » concept represents a metaphor rooted in the search of a strategy for promoting the personal development of the individual within an organization through a continuous transformation. Learning is associated with the idea of continuous transformation based on the individual and organizational development. Within « learning organizations » the human development strategy occupies a central role in management strategies. It was learned that organizations which perform excellently depend on the employees committment, especially in the budget constraints environment. For this, the human resources have to be used at maximum capacity but this is possible only with an increased committment of the employee towards the organization. The purpose of this paper is to present the basic training programme for the new employees which is part of the training strategy which carry out activities in the nuclear field of SCN Pitesti. With the majority of the research personnel aged between 45 and 60 years old there is the risk of loosing the knowledge gained in this domain. The expertise gained by experienced experts in the institute nationally and internationally can be exploited through the knowledge transfer to the new employees by organizing training programmes. The knowledge transfer between generations is one of the

  20. Mapping the network | IDRC - International Development Research ...

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

    Together, the Poverty Research Network scholars possess a dozen different affiliations. They come from nine universities, two major national research organizations – the Chinese Academy of Social Sciences and the Chinese Academy of Agricultural Sciences – and the National Bureau of Statistics.

  1. Consolidating African Research and Education Networking ...

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

    Consolidating African Research and Education Networking (CORENA) - Phase I. African universities and research institutions possess significant human capacity, but their contribution to national human development as well as their intellectual property output is still very limited. A major cause of this is lack of easy and ...

  2. The future of network governance research

    DEFF Research Database (Denmark)

    Lewis, Jenny

    2011-01-01

    The popularity and scope of network governance research and practice continues to expand from its divergent foundations, assumptions and ethodological positions. This paper introduces a symposium of papers on this substantial sub-field by first summarizing the sprawling research endeavour...

  3. Alliance for Sequestration Training, Outreach, Research & Education

    Energy Technology Data Exchange (ETDEWEB)

    Olson, Hilary [Univ. of Texas, Austin, TX (United States). Inst. for Geophysics Jackson School of Geosciences

    2013-12-31

    The Sequestration Training, Outreach, Research and Education (STORE) Alliance at The University of Texas at Austin completed its activity under Department of Energy Funding (DE-FE0002254) on September 1, 2013. The program began as a partnership between the Institute for Geophysics, the Bureau of Economic Geology and the Petroleum and Geosystems Engineering Department at UT. The initial vision of the program was to promote better understanding of CO2 utilization and storage science and engineering technology through programs and opportunities centered on training, outreach, research and technology transfer, and education. With over 8,000 hrs of formal training and education (and almost 4,500 of those hours awarded as continuing education credits) to almost 1,100 people, STORE programs and activities have provided benefits to the Carbon Storage Program of the Department of Energy by helping to build a skilled workforce for the future CCS and larger energy industry, and fostering scientific public literacy needed to continue the U.S. leadership position in climate change mitigation and energy technologies and application. Now in sustaining mode, the program is housed at the Center for Petroleum and Geosystems Engineering, and benefits from partnerships with the Gulf Coast Carbon Center, TOPCORP and other programs at the university receiving industry funding.

  4. Role of physical and mental training in brain network configuration

    Directory of Open Access Journals (Sweden)

    Philip P. Foster

    2015-06-01

    Full Text Available Continuous remodeling of proteins of excitatory neurons is fine-tuning the scaling and strength of excitatory synapses up or down via regulation of intra-cellular metabolic and regulatory networks of the genome-transcriptome-proteome interface. Alzheimer's disease is a model of energy cost-driven small-world network disorder as the network global efficiency is impaired by the deposition of an informed agent, the amyloid-β, selectively targeting high-degree nodes. In schizophrenia, the interconnectivity and density of rich-club networks are significantly reduced. Training-induced homeostatic synaptogenesis-enhancement produces a reconfiguration of brain networks into greater small-worldness. Creation of synaptic connections in a macro-network, and, at the intra-cellular scale, micro-networks regulate the physiological mechanisms for the preferential attachment of synapses. The strongest molecular relationship of exercise and functional connectivity was identified for brain-derived neurotrophic factor (BDNF. The allele variant, rs7294919, also shows a powerful relationship with the hippocampal volume. How the brain achieves this unique quest of reconfiguration remains a puzzle. What are the underlying mechanisms of synaptogenesis promoting communications brain ↔ muscle and brain ↔ brain in such trainings? What is the respective role of independent mental, physical or combined-mental-physical trainings? Physical practice seems to be playing an instrumental role in the cognitive enhancement (brain ↔ muscle com.. However, mental training, meditation or virtual reality (films, games require only minimal motor activity and cardio-respiratory stimulation. Therefore, other potential paths (brain ↔ brain com. molding brain networks are nonetheless essential. Patients with motor neuron disease/injury (e.g. amyotrophic lateral sclerosis, traumatism also achieve successful cognitive enhancement albeit they may only elicit mental practice

  5. The network evolves | IDRC - International Development Research ...

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

    2011-07-08

    Jul 8, 2011 ... “The labour economists' group is one of the fruits of the Poverty Research Network, so it has really been very helpful,” Lu Ming says. “The network is a bridge, and it could be expanded to more people.” Indeed, the young economists and their mentors have helped lay the groundwork for a possible next ...

  6. Enabling research in care homes: an evaluation of a national network of research ready care homes.

    Science.gov (United States)

    Davies, Sue L; Goodman, Claire; Manthorpe, Jill; Smith, Adam; Carrick, Natasha; Iliffe, Steve

    2014-04-05

    In the UK care homes are one of the main providers of long term care for older people with dementia. Despite the recent increase in care home research, residents with dementia are often excluded from studies. Care home research networks have been recommended by the Ministerial Advisory Group on Dementia Research (MAGDR) as a way of increasing research opportunities for residents with dementia. This paper reports on an evaluation of the feasibility and early impact of an initiative to increase care home participation in research. A two phase, mixed methods approach was used; phase 1 established a baseline of current and recent studies including the National Institute for Health Research portfolio. To explore the experiences of recruiting care homes and research participation, interviews were conducted with researchers working for the Dementia and Neurodegenerative Diseases Research Network (DeNDRoN) and care home managers. In phase 2, four DeNDRoN area offices recruited care homes to a care home network for their region. The care home networks were separate from the DeNDRoN research network. Diaries were used to document and cost recruitment; DeNDRoN staff were interviewed to understand the barriers, facilitators and impact of the care home networks. Thirty three current or recent studies were identified as involving care homes as care home specific studies or those which included residents. Further details of care home recruitment were obtained on 20 studies by contacting study teams. Care home managers were keen to be involved in research that provided staff support, benefits for residents and with minimal disruption. In phase 2, 141 care homes were recruited to the care home research networks, through corporate engagement and individual invitation. Pre-existing relationships with care homes facilitated recruitment. Sites with minimal experience of working with care homes identified the need for care home training for researchers. Phase 1 review revealed a small

  7. Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network.

    Science.gov (United States)

    Steiner, John F; Paolino, Andrea R; Thompson, Ella E; Larson, Eric B

    2014-01-01

    As multi-institutional research networks assume a central role in clinical research, they must address the challenge of sustainability. Despite its importance, the concept of network sustainability has received little attention in the literature, and the sustainability strategies of durable scientific networks have not been described. The Health Maintenance Organization Research Network (HMORN) is a consortium of 18 research departments in integrated health care delivery systems with over 15 million members in the United States and Israel. The HMORN has coordinated federally funded scientific networks and studies since 1994. This case study describes the HMORN approach to sustainability, proposes an operational definition of network sustainability, and identifies 10 essential elements that can enhance sustainability. The sustainability framework proposed here is drawn from prior publications on organizational issues by HMORN investigators and from the experience of recent HMORN leaders and senior staff. Network sustainability can be defined as (1) the development and enhancement of shared research assets to facilitate a sequence of research studies in a specific content area or multiple areas, and (2) a community of researchers and other stakeholders who reuse and develop those assets. Essential elements needed to develop the shared assets of a network include: network governance; trustworthy data and processes for sharing data; shared knowledge about research tools; administrative efficiency; physical infrastructure; and infrastructure funding. The community of researchers within a network is enhanced by: a clearly defined mission, vision and values; protection of human subjects; a culture of collaboration; and strong relationships with host organizations. While the importance of these elements varies based on the membership and goals of a network, this framework for sustainability can enhance strategic planning within the network and can guide relationships with

  8. Training needs of clinical research associates

    Directory of Open Access Journals (Sweden)

    Samyuktha Ajay

    2010-01-01

    Full Text Available Clinical research is a relatively new field in our country that has seen very rapid growth in the last few years. Availability of personnel appropriately trained to the specific requirements of the role they will perform in clinical research is critical for capacity expansion. Our study attempts to understand the specific areas of knowledge and skills that are important for the role of a clinical research associate. The survey was conducted among clinical research professionals from industry and academia who had more than five years of clinical research experience and held important decision making positions in clinical research (stakeholders. The survey questionnaire was designed as a matrix of various clinical research roles on the y-axis and six knowledge modules and eight skills on the x-axis. Respondents were asked to rate the importance of the knowledge /skills to the role of clinical research associates on a three point scale. In discussing results, a significant response was considered to be 50% or greater positive response from the total group. The significant findings were that general, ethics and clinical trial execution modules were rated as critical for the role of clinical research associate. Regulatory module was rated as important for the role. The other significant responses were that three of the sub-topics in the methodology module - framing a research proposal/protocol and experimental design, designing case report forms and EDCs and conducting PK studies - were rated as important and one sub topic in the data management and statistics module was rated as not important. All the skills except leadership skills were rated as critical for the role. The findings of our survey were in general on the lines of expectations of performance of the role. The general, ethics and clinical trial execution modules are critical knowledge areas for the role of a clinical research associate. No clear trends emerged for some of the other

  9. An accelerated training method for back propagation networks

    Science.gov (United States)

    Shelton, Robert O. (Inventor)

    1993-01-01

    The principal objective is to provide a training procedure for a feed forward, back propagation neural network which greatly accelerates the training process. A set of orthogonal singular vectors are determined from the input matrix such that the standard deviations of the projections of the input vectors along these singular vectors, as a set, are substantially maximized, thus providing an optimal means of presenting the input data. Novelty exists in the method of extracting from the set of input data, a set of features which can serve to represent the input data in a simplified manner, thus greatly reducing the time/expense to training the system.

  10. A child abuse research network: Now what?

    Science.gov (United States)

    Lindberg, Daniel M; Scribano, Philip V

    2017-08-01

    As foundational work in preparation for a sustainable, multi-center network devoted to child abuse medical research, we recently used a combination of survey and modified Delphi methodologies to determine research priorities for future multi-center studies. Avoiding missed diagnoses, and improving selected/indicated prevention were the topics rated most highly in terms of research priority. Several constructive commentaries in this issue identify the key challenges which must be overcome to ensure a successful network. Indeed, as with the clinical work of child abuse pediatrics, a scientific network will also require constant collaboration within and outside the community of child abuse pediatricians, the wider medical community, and even non-medical professions. Copyright © 2017 Elsevier Ltd. All rights reserved.

  11. SWAT: a spiking neural network training algorithm for classification problems.

    Science.gov (United States)

    Wade, John J; McDaid, Liam J; Santos, Jose A; Sayers, Heather M

    2010-11-01

    This paper presents a synaptic weight association training (SWAT) algorithm for spiking neural networks (SNNs). SWAT merges the Bienenstock-Cooper-Munro (BCM) learning rule with spike timing dependent plasticity (STDP). The STDP/BCM rule yields a unimodal weight distribution where the height of the plasticity window associated with STDP is modulated causing stability after a period of training. The SNN uses a single training neuron in the training phase where data associated with all classes is passed to this neuron. The rule then maps weights to the classifying output neurons to reflect similarities in the data across the classes. The SNN also includes both excitatory and inhibitory facilitating synapses which create a frequency routing capability allowing the information presented to the network to be routed to different hidden layer neurons. A variable neuron threshold level simulates the refractory period. SWAT is initially benchmarked against the nonlinearly separable Iris and Wisconsin Breast Cancer datasets. Results presented show that the proposed training algorithm exhibits a convergence accuracy of 95.5% and 96.2% for the Iris and Wisconsin training sets, respectively, and 95.3% and 96.7% for the testing sets, noise experiments show that SWAT has a good generalization capability. SWAT is also benchmarked using an isolated digit automatic speech recognition (ASR) system where a subset of the TI46 speech corpus is used. Results show that with SWAT as the classifier, the ASR system provides an accuracy of 98.875% for training and 95.25% for testing.

  12. Artificial neural network classification using a minimal training set - Comparison to conventional supervised classification

    Science.gov (United States)

    Hepner, George F.; Logan, Thomas; Ritter, Niles; Bryant, Nevin

    1990-01-01

    Recent research has shown an artificial neural network (ANN) to be capable of pattern recognition and the classification of image data. This paper examines the potential for the application of neural network computing to satellite image processing. A second objective is to provide a preliminary comparison and ANN classification. An artificial neural network can be trained to do land-cover classification of satellite imagery using selected sites representative of each class in a manner similar to conventional supervised classification. One of the major problems associated with recognition and classifications of pattern from remotely sensed data is the time and cost of developing a set of training sites. This reseach compares the use of an ANN back propagation classification procedure with a conventional supervised maximum likelihood classification procedure using a minimal training set. When using a minimal training set, the neural network is able to provide a land-cover classification superior to the classification derived from the conventional classification procedure. This research is the foundation for developing application parameters for further prototyping of software and hardware implementations for artificial neural networks in satellite image and geographic information processing.

  13. Recruitment of Underrepresented Minority Researchers into HIV Prevention Research: The HIV Prevention Trials Network Scholars Program

    Science.gov (United States)

    Hamilton, Erica L.; Griffith, Sam B.; Jennings, Larissa; Dyer, Typhanye V.; Mayer, Kenneth; Wheeler, Darrell

    2018-01-01

    Abstract Most U.S. investigators in the HIV Prevention Trials Network (HPTN) have been of majority race/ethnicity and sexual orientation. Research participants, in contrast, have been disproportionately from racial/ethnic minorities and men who have sex with men (MSM), reflecting the U.S. epidemic. We initiated and subsequently evaluated the HPTN Scholars Program that mentors early career investigators from underrepresented minority groups. Scholars were affiliated with the HPTN for 12–18 months, mentored by a senior researcher to analyze HPTN study data. Participation in scientific committees, trainings, protocol teams, and advisory groups was facilitated, followed by evaluative exit surveys. Twenty-six trainees have produced 17 peer-reviewed articles to date. Research topics typically explored health disparities and HIV prevention among black and Hispanic MSM and at-risk black women. Most scholars (81% in the first five cohorts) continued HIV research after program completion. Alumni reported program-related career benefits and subsequent funding successes. Their feedback also suggested that we must improve the scholars' abilities to engage new research protocols that are developed within the network. Mentored engagement can nurture the professional development of young researchers from racial/ethnic and sexual minority communities. Minority scientists can benefit from training and mentoring within research consortia, whereas the network research benefits from perspectives of underrepresented minority scientists. PMID:29145745

  14. Bayesian model ensembling using meta-trained recurrent neural networks

    NARCIS (Netherlands)

    Ambrogioni, L.; Berezutskaya, Y.; Gü ç lü , U.; Borne, E.W.P. van den; Gü ç lü tü rk, Y.; Gerven, M.A.J. van; Maris, E.G.G.

    2017-01-01

    In this paper we demonstrate that a recurrent neural network meta-trained on an ensemble of arbitrary classification tasks can be used as an approximation of the Bayes optimal classifier. This result is obtained by relying on the framework of e-free approximate Bayesian inference, where the Bayesian

  15. Determination of Markers by GUHA Method for Neural Network Training

    Czech Academy of Sciences Publication Activity Database

    Šebesta, Václav; Straka, L.

    1998-01-01

    Roč. 8, č. 3 (1998), s. 255-268 ISSN 1210-0552 R&D Projects: GA AV ČR IAA2030801 Grant - others:MZ(CZ) IZ3773 Keywords : neural network training * medical informatics * decision suppoort system Subject RIV: BA - General Mathematics

  16. [Research among psychiatrists in training in Ciudad de Buenos Aires].

    Science.gov (United States)

    Peskin, Viviana A; Berrío Cuartas, Diana M; Villafañe, Claudia I; Pereyra, Walter D; Martínez Didolich, Laura C; Cesoni, Oscar M; Uriarte, Martín A

    2015-09-01

    Research is a cornerstone in the training of medical doctors in any specialty, whereas it substantially contributes to good clinical practice. The aim of this study is to determine the importance of research among psychiatrists in training in Ciudad de Buenos Aires. A cross sectional descriptive study using a paper survey, which was voluntary and anonymous, was sent to psychiatrists in training in different training centers between October-November 2013. 76.6% considered research training deficient; 27.8% participated in a research project during their psychiatric training and only 21.5% presented their results at a scientific activity. 95.6% participants considered important to include research in their training. In summary, a small proportion of psychiatrists in training who participated in this study conducted research and we observed limited experience in the area, as opposed to the interest in being trained in this field.

  17. Neural network for regression problems with reduced training sets.

    Science.gov (United States)

    Bataineh, Mohammad; Marler, Timothy

    2017-11-01

    Although they are powerful and successful in many applications, artificial neural networks (ANNs) typically do not perform well with complex problems that have a limited number of training cases. Often, collecting additional training data may not be feasible or may be costly. Thus, this work presents a new radial-basis network (RBN) design that overcomes the limitations of using ANNs to accurately model regression problems with minimal training data. This new design involves a multi-stage training process that couples an orthogonal least squares (OLS) technique with gradient-based optimization. New termination criteria are also introduced to improve accuracy. In addition, the algorithms are designed to require minimal heuristic parameters, thus improving ease of use and consistency in performance. The proposed approach is tested with experimental and practical regression problems, and the results are compared with those from typical network models. The results show that the new design demonstrates improved accuracy with reduced dependence on the amount of training data. As demonstrated, this new ANN provides a platform for approximating potentially slow but high-fidelity computational models, and thus fostering inter-model connectivity and multi-scale modeling. Copyright © 2017 Elsevier Ltd. All rights reserved.

  18. Mnemonic Training Reshapes Brain Networks to Support Superior Memory.

    Science.gov (United States)

    Dresler, Martin; Shirer, William R; Konrad, Boris N; Müller, Nils C J; Wagner, Isabella C; Fernández, Guillén; Czisch, Michael; Greicius, Michael D

    2017-03-08

    Memory skills strongly differ across the general population; however, little is known about the brain characteristics supporting superior memory performance. Here we assess functional brain network organization of 23 of the world's most successful memory athletes and matched controls with fMRI during both task-free resting state baseline and active memory encoding. We demonstrate that, in a group of naive controls, functional connectivity changes induced by 6 weeks of mnemonic training were correlated with the network organization that distinguishes athletes from controls. During rest, this effect was mainly driven by connections between rather than within the visual, medial temporal lobe and default mode networks, whereas during task it was driven by connectivity within these networks. Similarity with memory athlete connectivity patterns predicted memory improvements up to 4 months after training. In conclusion, mnemonic training drives distributed rather than regional changes, reorganizing the brain's functional network organization to enable superior memory performance. Copyright © 2017 Elsevier Inc. All rights reserved.

  19. THE ROLE OF NETWORKS IN PERMANENT TRAINING

    Directory of Open Access Journals (Sweden)

    Geanina Colan

    2016-03-01

    Full Text Available In order to decide on an education necesity one has to answer the question “What and who do we organize a certain educational process or system for and why do we organize it in a certain way and not otherwize?”. In order to decide on an education necessity one must also answer the question “What social problems does the educational process or system we devised solve?”. The problem of lifelong in-service training is important for supporting the workforce change, being the main instrument it uses in order to adjust to the new requirements, this enabling its nobility among differerent fields of activity.

  20. Neural network training as a dissipative process.

    Science.gov (United States)

    Gori, Marco; Maggini, Marco; Rossi, Alessandro

    2016-09-01

    This paper analyzes the practical issues and reports some results on a theory in which learning is modeled as a continuous temporal process driven by laws describing the interactions of intelligent agents with their own environment. The classic regularization framework is paired with the idea of temporal manifolds by introducing the principle of least cognitive action, which is inspired by the related principle of mechanics. The introduction of the counterparts of the kinetic and potential energy leads to an interpretation of learning as a dissipative process. As an example, we apply the theory to supervised learning in neural networks and show that the corresponding Euler-Lagrange differential equations can be connected to the classic gradient descent algorithm on the supervised pairs. We give preliminary experiments to confirm the soundness of the theory. Copyright © 2016 Elsevier Ltd. All rights reserved.

  1. Parallel Evolutionary Optimization for Neuromorphic Network Training

    Energy Technology Data Exchange (ETDEWEB)

    Schuman, Catherine D [ORNL; Disney, Adam [University of Tennessee (UT); Singh, Susheela [North Carolina State University (NCSU), Raleigh; Bruer, Grant [University of Tennessee (UT); Mitchell, John Parker [University of Tennessee (UT); Klibisz, Aleksander [University of Tennessee (UT); Plank, James [University of Tennessee (UT)

    2016-01-01

    One of the key impediments to the success of current neuromorphic computing architectures is the issue of how best to program them. Evolutionary optimization (EO) is one promising programming technique; in particular, its wide applicability makes it especially attractive for neuromorphic architectures, which can have many different characteristics. In this paper, we explore different facets of EO on a spiking neuromorphic computing model called DANNA. We focus on the performance of EO in the design of our DANNA simulator, and on how to structure EO on both multicore and massively parallel computing systems. We evaluate how our parallel methods impact the performance of EO on Titan, the U.S.'s largest open science supercomputer, and BOB, a Beowulf-style cluster of Raspberry Pi's. We also focus on how to improve the EO by evaluating commonality in higher performing neural networks, and present the result of a study that evaluates the EO performed by Titan.

  2. Systematic Approach to Research Training: Benefits for Counseling Practice.

    Science.gov (United States)

    Loughead, Teri A.; And Others

    1991-01-01

    Synthesizes developments concerning research training in graduate counselor education and presents a systematic approach for training master's and doctoral students in mental health counseling to assimilate, use, and perform research. Suggests diversity of research training strategies for implementation in counselor preparation programs.…

  3. SARNET: Severe accident research network of excellence

    International Nuclear Information System (INIS)

    Albiol, T.; Van Dorsselaere, J. P.; Chaumont, B.; Haste, T.; Journeau, Ch.; Meyer, L.; Sehgal, Bal Raj; Schwinges, Bernd; Beraha, D.; Annunziato, A.; Zeyen, R.

    2010-01-01

    Fifty-one organisations network in SARNET (Severe Accident Research Network of Excellence) their research capacities in order to resolve the most important pending issues for enhancing, with regard to Severe Accidents (SA), the safety of existing and future Nuclear Power Plants (NPPs). This project. co-funded by the European Commission (EC) under the 6. Framework Programme, has been defined in order to optimise the use of the available means and to constitute sustainable research groups in the European Union. SARNET tackles the fragmentation that may exist between the different national R and D programmes, in defining common research programmes and developing common computer tools and methodologies for safety assessment. SARNET comprises most of the organisations involved in SA research in Europe, plus Canada. To reach these objectives, all the organisations networked in SARNET contributed to a joint Programme of Activities, which consisted of: Implementation of an advanced communication tool for accessing all project information, fostering exchange of information, and managing documents; Harmonization and re-orientation of the research programmes, and definition of new ones; Analysis of the experimental results provided by research programmes in order to elaborate a common understanding of relevant phenomena; Development of the ASTEC code (integral computer code used to predict the NPP behaviour during a postulated SA), which capitalizes in terms of physical models the knowledge produced within SARNET; Development of Scientific Databases in which all the results of research programmes are stored in a common format (DATANET); Development of a common methodology for Probabilistic Safety Assessment of NPPs; Development of short courses and writing a textbook on Severe Accidents for students and researchers; Promotion of personnel mobility amongst various European organisations. This paper presents the major achievements after four and a half years of operation of the

  4. Networks (2005) | IDRC - International Development Research Centre

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

    2016-04-25

    Apr 25, 2016 ... From its launch in 1970, IDRC adopted a new approach to providing international development assistance. IDRC's philosophy was to work with the people who hoped to benefit from the aid, and to set research agendas in collaboration with local partners. Networks have been at the core of this cooperative ...

  5. The Social Phobia Psychotherapy Research Network

    OpenAIRE

    Leichsenring, Falk; Hoyer, Jürgen; Beutel, Manfred; Herpertz, Sabine; Hiller, Wolfgang; Irle, Eva; Joraschky, Peter; König, Hans-Helmut; de Liz, Therese Marie; Nolting, Björn; Pöhlmann, Karin; Salzer, Simone; Schauenburg, Henning; Stangier, Ulrich; Strauss, Bernhard

    2014-01-01

    This paper presents the Social Phobia Psychotherapy Research Network. The research program encompasses a coordinated group of studies adopting a standard protocol and an agreed-on set of standardized measures for the assessment and treatment of social phobia (SP). In the central project (study A), a multicenter randomized controlled trial, refined models of manualized cognitive-behavioral therapy and manualized short-term psychodynamic psychotherapy are compared in the treatment of SP. A samp...

  6. Differential network analysis in human cancer research.

    Science.gov (United States)

    Gill, Ryan; Datta, Somnath; Datta, Susmita

    2014-01-01

    A complex disease like cancer is hardly caused by one gene or one protein singly. It is usually caused by the perturbation of the network formed by several genes or proteins. In the last decade several research teams have attempted to construct interaction maps of genes and proteins either experimentally or reverse engineer interaction maps using computational techniques. These networks were usually created under a certain condition such as an environmental condition, a particular disease, or a specific tissue type. Lately, however, there has been greater emphasis on finding the differential structure of the existing network topology under a novel condition or disease status to elucidate the perturbation in a biological system. In this review/tutorial article we briefly mention some of the research done in this area; we mainly illustrate the computational/statistical methods developed by our team in recent years for differential network analysis using publicly available gene expression data collected from a well known cancer study. This data includes a group of patients with acute lymphoblastic leukemia and a group with acute myeloid leukemia. In particular, we describe the statistical tests to detect the change in the network topology based on connectivity scores which measure the association or interaction between pairs of genes. The tests under various scores are applied to this data set to perform a differential network analysis on gene expression for human leukemia. We believe that, in the future, differential network analysis will be a standard way to view the changes in gene expression and protein expression data globally and these types of tests could be useful in analyzing the complex differential signatures.

  7. Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm.

    Science.gov (United States)

    Wu, Haizhou; Zhou, Yongquan; Luo, Qifang; Basset, Mohamed Abdel

    2016-01-01

    Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm, which stimulates the symbiotic interaction strategies adopted by organisms to survive and propagate in the ecosystem. In the supervised learning area, it is a challenging task to present a satisfactory and efficient training algorithm for feedforward neural networks (FNNs). In this paper, SOS is employed as a new method for training FNNs. To investigate the performance of the aforementioned method, eight different datasets selected from the UCI machine learning repository are employed for experiment and the results are compared among seven metaheuristic algorithms. The results show that SOS performs better than other algorithms for training FNNs in terms of converging speed. It is also proven that an FNN trained by the method of SOS has better accuracy than most algorithms compared.

  8. Optimal Path Choice in Railway Passenger Travel Network Based on Residual Train Capacity

    Directory of Open Access Journals (Sweden)

    Fei Dou

    2014-01-01

    Full Text Available Passenger’s optimal path choice is one of the prominent research topics in the field of railway passenger transport organization. More and more different train types are available, increasing path choices from departure to destination for travelers are unstoppable. However, travelers cannot avoid being confused when they hope to choose a perfect travel plan based on various travel time and cost constraints before departure. In this study, railway passenger travel network is constructed based on train timetable. Both the generalized cost function we developed and the residual train capacity are considered to be the foundation of path searching procedure. The railway passenger travel network topology is analyzed based on residual train capacity. Considering the total travel time, the total travel cost, and the total number of passengers, we propose an optimal path searching algorithm based on residual train capacity in railway passenger travel network. Finally, the rationale of the railway passenger travel network and the optimal path generation algorithm are verified positively by case study.

  9. Optimal path choice in railway passenger travel network based on residual train capacity.

    Science.gov (United States)

    Dou, Fei; Yan, Kai; Huang, Yakun; Wang, Li; Jia, Limin

    2014-01-01

    Passenger's optimal path choice is one of the prominent research topics in the field of railway passenger transport organization. More and more different train types are available, increasing path choices from departure to destination for travelers are unstoppable. However, travelers cannot avoid being confused when they hope to choose a perfect travel plan based on various travel time and cost constraints before departure. In this study, railway passenger travel network is constructed based on train timetable. Both the generalized cost function we developed and the residual train capacity are considered to be the foundation of path searching procedure. The railway passenger travel network topology is analyzed based on residual train capacity. Considering the total travel time, the total travel cost, and the total number of passengers, we propose an optimal path searching algorithm based on residual train capacity in railway passenger travel network. Finally, the rationale of the railway passenger travel network and the optimal path generation algorithm are verified positively by case study.

  10. Electronic collaboration in dermatology resident training through social networking.

    Science.gov (United States)

    Meeks, Natalie M; McGuire, April L; Carroll, Bryan T

    2017-04-01

    The use of online educational resources and professional social networking sites is increasing. The field of dermatology is currently under-utilizing online social networking as a means of professional collaboration and sharing of training materials. In this study, we sought to assess the current structure of and satisfaction with dermatology resident education and gauge interest for a professional social networking site for educational collaboration. Two surveys-one for residents and one for faculty-were electronically distributed via the American Society for Dermatologic Surgery and Association of Professors of Dermatology (APD) listserves. The surveys confirmed that there is interest among dermatology residents and faculty in a dermatology professional networking site with the goal to enhance educational collaboration.

  11. Building capacity for public and population health research in Africa: the consortium for advanced research training in Africa (CARTA) model

    Science.gov (United States)

    Ezeh, Alex C.; Izugbara, Chimaraoke O.; Kabiru, Caroline W.; Fonn, Sharon; Kahn, Kathleen; Manderson, Lenore; Undieh, Ashiwel S.; Omigbodun, Akinyinka; Thorogood, Margaret

    2010-01-01

    Background Globally, sub-Saharan Africa bears the greatest burden of disease. Strengthened research capacity to understand the social determinants of health among different African populations is key to addressing the drivers of poor health and developing interventions to improve health outcomes and health systems in the region. Yet, the continent clearly lacks centers of research excellence that can generate a strong evidence base to address the region's socio-economic and health problems. Objective and program overview We describe the recently launched Consortium for Advanced Research Training in Africa (CARTA), which brings together a network of nine academic and four research institutions from West, East, Central, and Southern Africa, and select northern universities and training institutes. CARTA's program of activities comprises two primary, interrelated, and mutually reinforcing objectives: to strengthen research infrastructure and capacity at African universities; and to support doctoral training through the creation of a collaborative doctoral training program in population and public health. The ultimate goal of CARTA is to build local research capacity to understand the determinants of population health and effectively intervene to improve health outcomes and health systems. Conclusions CARTA's focus on the local production of networked and high-skilled researchers committed to working in sub-Saharan Africa, and on the concomitant increase in local research and training capacity of African universities and research institutes addresses the inability of existing programs to create a critical mass of well-trained and networked researchers across the continent. The initiative's goal of strengthening human resources and university-wide systems critical to the success and sustainability of research productivity in public and population health will rejuvenate institutional teaching, research, and administrative systems. PMID:21085517

  12. Building capacity for public and population health research in Africa: the consortium for advanced research training in Africa (CARTA model

    Directory of Open Access Journals (Sweden)

    Alex C. Ezeh

    2010-11-01

    Full Text Available Background: Globally, sub-Saharan Africa bears the greatest burden of disease. Strengthened research capacity to understand the social determinants of health among different African populations is key to addressing the drivers of poor health and developing interventions to improve health outcomes and health systems in the region. Yet, the continent clearly lacks centers of research excellence that can generate a strong evidence base to address the region's socio-economic and health problems. Objective and program overview: We describe the recently launched Consortium for Advanced Research Training in Africa (CARTA, which brings together a network of nine academic and four research institutions from West, East, Central, and Southern Africa, and select northern universities and training institutes. CARTA's program of activities comprises two primary, interrelated, and mutually reinforcing objectives: to strengthen research infrastructure and capacity at African universities; and to support doctoral training through the creation of a collaborative doctoral training program in population and public health. The ultimate goal of CARTA is to build local research capacity to understand the determinants of population health and effectively intervene to improve health outcomes and health systems. Conclusions: CARTA's focus on the local production of networked and high-skilled researchers committed to working in sub-Saharan Africa, and on the concomitant increase in local research and training capacity of African universities and research institutes addresses the inability of existing programs to create a critical mass of well-trained and networked researchers across the continent. The initiative's goal of strengthening human resources and university-wide systems critical to the success and sustainability of research productivity in public and population health will rejuvenate institutional teaching, research, and administrative systems.

  13. Conceptualizing and Advancing Research Networking Systems

    Science.gov (United States)

    SCHLEYER, TITUS; BUTLER, BRIAN S.; SONG, MEI; SPALLEK, HEIKO

    2013-01-01

    Science in general, and biomedical research in particular, is becoming more collaborative. As a result, collaboration with the right individuals, teams, and institutions is increasingly crucial for scientific progress. We propose Research Networking Systems (RNS) as a new type of system designed to help scientists identify and choose collaborators, and suggest a corresponding research agenda. The research agenda covers four areas: foundations, presentation, architecture, and evaluation. Foundations includes project-, institution- and discipline-specific motivational factors; the role of social networks; and impression formation based on information beyond expertise and interests. Presentation addresses representing expertise in a comprehensive and up-to-date manner; the role of controlled vocabularies and folksonomies; the tension between seekers’ need for comprehensive information and potential collaborators’ desire to control how they are seen by others; and the need to support serendipitous discovery of collaborative opportunities. Architecture considers aggregation and synthesis of information from multiple sources, social system interoperability, and integration with the user’s primary work context. Lastly, evaluation focuses on assessment of collaboration decisions, measurement of user-specific costs and benefits, and how the large-scale impact of RNS could be evaluated with longitudinal and naturalistic methods. We hope that this article stimulates the human-computer interaction, computer-supported cooperative work, and related communities to pursue a broad and comprehensive agenda for developing research networking systems. PMID:24376309

  14. Model-Trained Neural Networks and Electronic Holography Demonstrated to Detect Damage in Blades

    Science.gov (United States)

    Decker, Arthur J.; Fite, E. Brian; Mehmed, Oral; Thorp, Scott A.

    1998-01-01

    Detect Damage in Blades Electronic holography can show damaged regions in fan blades at 30 frames/sec. The electronic holograms are transformed by finite-element-model-trained artificial neural networks to visualize the damage. The trained neural networks are linked with video and graphics to visualize the bending-induced strain distribution, which is very sensitive to damage. By contrast, it is very difficult to detect damage by viewing the raw, speckled, characteristic fringe patterns. For neural-network visualization of damage, 2 frames or 2 fields are used, rather than the 12 frames normally used to compute the displacement distribution from electronic holograms. At the NASA Lewis Research Center, finite element models are used to compute displacement and strain distributions for the vibration modes of undamaged and cracked blades. A model of electronic time-averaged holography is used to transform the displacement distributions into finite-element-resolution characteristic fringe patterns. Then, a feedforward neural network is trained with the fringe-pattern/strain-pattern pairs, and the neural network, electronic holography, and video are implemented on a workstation. Now that the neural networks have been tested successfully at 30 frames/sec on undamaged and cracked cantilevers, the electronic holography and neural-network processing are being adapted for onsite damage inspection of twisted fan blades and rotormounted blades. Our conclusion is that model-trained neural nets are effective when they are trained with good models whose application is well understood. This work supports the aeromechanical testing portion of the Advanced Subsonic Technology Project.

  15. Novel maximum-margin training algorithms for supervised neural networks.

    Science.gov (United States)

    Ludwig, Oswaldo; Nunes, Urbano

    2010-06-01

    This paper proposes three novel training methods, two of them based on the backpropagation approach and a third one based on information theory for multilayer perceptron (MLP) binary classifiers. Both backpropagation methods are based on the maximal-margin (MM) principle. The first one, based on the gradient descent with adaptive learning rate algorithm (GDX) and named maximum-margin GDX (MMGDX), directly increases the margin of the MLP output-layer hyperplane. The proposed method jointly optimizes both MLP layers in a single process, backpropagating the gradient of an MM-based objective function, through the output and hidden layers, in order to create a hidden-layer space that enables a higher margin for the output-layer hyperplane, avoiding the testing of many arbitrary kernels, as occurs in case of support vector machine (SVM) training. The proposed MM-based objective function aims to stretch out the margin to its limit. An objective function based on Lp-norm is also proposed in order to take into account the idea of support vectors, however, overcoming the complexity involved in solving a constrained optimization problem, usually in SVM training. In fact, all the training methods proposed in this paper have time and space complexities O(N) while usual SVM training methods have time complexity O(N (3)) and space complexity O(N (2)) , where N is the training-data-set size. The second approach, named minimization of interclass interference (MICI), has an objective function inspired on the Fisher discriminant analysis. Such algorithm aims to create an MLP hidden output where the patterns have a desirable statistical distribution. In both training methods, the maximum area under ROC curve (AUC) is applied as stop criterion. The third approach offers a robust training framework able to take the best of each proposed training method. The main idea is to compose a neural model by using neurons extracted from three other neural networks, each one previously trained by

  16. A Control Simulation Method of High-Speed Trains on Railway Network with Irregular Influence

    International Nuclear Information System (INIS)

    Yang Lixing; Li Xiang; Li Keping

    2011-01-01

    Based on the discrete time method, an effective movement control model is designed for a group of highspeed trains on a rail network. The purpose of the model is to investigate the specific traffic characteristics of high-speed trains under the interruption of stochastic irregular events. In the model, the high-speed rail traffic system is supposed to be equipped with the moving-block signalling system to guarantee maximum traversing capacity of the railway. To keep the safety of trains' movements, some operational strategies are proposed to control the movements of trains in the model, including traction operation, braking operation, and entering-station operation. The numerical simulations show that the designed model can well describe the movements of high-speed trains on the rail network. The research results can provide the useful information not only for investigating the propagation features of relevant delays under the irregular disturbance but also for rerouting and rescheduling trains on the rail network. (general)

  17. Computer network for experimental research using ISDN

    International Nuclear Information System (INIS)

    Ida, Katsumi; Nakanishi, Hideya

    1997-01-01

    This report describes the development of a computer network that uses the Integrated Service Digital Network (ISDN) for real-time analysis of experimental plasma physics and nuclear fusion research. Communication speed, 64/128kbps (INS64) or 1.5Mbps (INS1500) per connection, is independent of how busy the network is. When INS-1500 is used, the communication speed, which is proportional to the public telephone connection fee, can be dynamically varied from 64kbps to 1472kbps (depending on how much data are being transferred using the Bandwidth-on-Demand (BOD) function in the ISDN Router. On-demand dial-up and time-out disconnection reduce the public telephone connection fee by 10%-97%. (author)

  18. Catalyzing Interdisciplinary Research and Training: Initial Outcomes and Evolution of the Affinity Research Collaboratives Model.

    Science.gov (United States)

    Ravid, Katya; Seta, Francesca; Center, David; Waters, Gloria; Coleman, David

    2017-10-01

    Team science has been recognized as critical to solving increasingly complex biomedical problems and advancing discoveries in the prevention, diagnosis, and treatment of human disease. In 2009, the Evans Center for Interdisciplinary Biomedical Research (ECIBR) was established in the Department of Medicine at Boston University School of Medicine as a new organizational paradigm to promote interdisciplinary team science. The ECIBR is made up of affinity research collaboratives (ARCs), consisting of investigators from different departments and disciplines who come together to study biomedical problems that are relevant to human disease and not under interdisciplinary investigation at the university. Importantly, research areas are identified by investigators according to their shared interests. ARC proposals are evaluated by a peer review process, and collaboratives are funded annually for up to three years.Initial outcomes of the first 12 ARCs show the value of this model in fostering successful biomedical collaborations that lead to publications, extramural grants, research networking, and training. The most successful ARCs have been developed into more sustainable organizational entities, including centers, research cores, translational research projects, and training programs.To further expand team science at Boston University, the Interdisciplinary Biomedical Research Office was established in 2015 to more fully engage the entire university, not just the medical campus, in interdisciplinary research using the ARC mechanism. This approach to promoting team science may be useful to other academic organizations seeking to expand interdisciplinary research at their institutions.

  19. Radiochemistry Research and Training, UC Davis

    Energy Technology Data Exchange (ETDEWEB)

    Sutcliffe, Julie

    2012-08-01

    The report contains a summary of the accomplishments made during the R2@UCDavis proposal. In brief we proposed to develop new and highly innovative radiotracer methods and to enhance training opportunities to ensure the future availability of human resources for highly specialized fields of radiotracer development chemistry and clinical nuclear medicine research and allied disciplines. The overall scientific objectives of this proposal were to utilize “click” chemistry to facilitate fast and site-specific radiolabeling. Progress was made on all initial goals presented. This funding has to date resulted in publications in high impact journals such as Acta Biomaterialia, Molecular Imaging and Biology, Nuclear Medicine and Biology and most recently Environmental Science and technology, and it is anticipated that through the collaborations established during the time course of this funding that future research will be published in clinically relevant journals such as Science Translational Medicine and the Journal of Nuclear Medicine. Trainees involved in this proposal have gone on to further their careers in both academia, industry and the private sector. The collaborative forums established during the time course of this funding will ensure the future availability of human resources for highly specialized fields of radiotracer development chemistry and clinical nuclear medicine research and allied disciplines.

  20. A Study of Social Networks for Maritime Education and Training

    Directory of Open Access Journals (Sweden)

    Tomoki Takimoto

    2016-09-01

    Full Text Available This study analyzes the role played by social networks in maritime education and training. The objective of this study is to investigate the shortage of seafarers in maritime global transportation, as mentioned by the BIMCO. The authors divide the processes of maritime education and training into two categories: “Maritime educational institute” and “Maritime Company.” These are not systematically connected but are found in the processes between social networks; it has the social networks to both. Therefore, teaching staff members, in their roles as job advisors in “Maritime educational institutes,” use social networks in conjunction with “Maritime companies.” The teaching staff members communicate with students using these processes. The teaching staffs are the carriers in regard to how these processes are related. This study surveyed aspects of “personality” and “social networks” pertaining to teaching staffs and quantitatively analyzed the processes related to social networks.

  1. Impact of the Cancer Prevention and Control Research Network

    Science.gov (United States)

    Ribisl, Kurt M.; Fernandez, Maria E.; Friedman, Daniela B.; Hannon, Peggy; Leeman, Jennifer; Moore, Alexis; Olson, Lindsay; Ory, Marcia; Risendal, Betsy; Sheble, Laura; Taylor, Vicky; Williams, Rebecca; Weiner, Bryan J.

    2018-01-01

    The Cancer Prevention and Control Research Network (CPCRN) is a thematic network dedicated to accelerating the adoption of evidence-based cancer prevention and control practices in communities by advancing dissemination and implementation science. Funded by the Centers for Disease Control and Prevention and National Cancer Institute, CPCRN has operated at two levels: Each participating Network Center conducts research projects with primarily local partners as well as multicenter collaborative research projects with state and national partners. Through multicenter collaboration, thematic networks leverage the expertise, resources, and partnerships of participating centers to conduct research projects collectively that might not be feasible individually. Although multicenter collaboration often is advocated, it is challenging to promote and assess. Using bibliometric network analysis and other graphical methods, this paper describes CPCRN’s multicenter publication progression from 2004 to 2014. Searching PubMed, Scopus, and Web of Science in 2014 identified 249 peer-reviewed CPCRN publications involving two or more centers out of 6,534 total. The research and public health impact of these multicenter collaborative projects initiated by CPCRN during that 10-year period were then examined. CPCRN established numerous workgroups around topics such as: 2-1-1, training and technical assistance, colorectal cancer control, federally qualified health centers, cancer survivorship, and human papillomavirus. The paper discusses the challenges that arise in promoting multicenter collaboration and the strategies that CPCRN uses to address those challenges. The lessons learned should broadly interest those seeking to promote multisite collaboration to address public health problems, such as cancer prevention and control. PMID:28215371

  2. Enhanced Communication Network Solution for Positive Train Control Implementation

    Science.gov (United States)

    Fatehi, M. T.; Simon, J.; Chang, W.; Chow, E. T.; Burleigh, S. C.

    2011-01-01

    The commuter and freight railroad industry is required to implement Positive Train Control (PTC) by 2015 (2012 for Metrolink), a challenging network communications problem. This paper will discuss present technologies developed by the National Aeronautics and Space Administration (NASA) to overcome comparable communication challenges encountered in deep space mission operations. PTC will be based on a new cellular wireless packet Internet Protocol (IP) network. However, ensuring reliability in such a network is difficult due to the "dead zones" and transient disruptions we commonly experience when we lose calls in commercial cellular networks. These disruptions make it difficult to meet PTC s stringent reliability (99.999%) and safety requirements, deployment deadlines, and budget. This paper proposes innovative solutions based on space-proven technologies that would help meet these challenges: (1) Delay Tolerant Networking (DTN) technology, designed for use in resource-constrained, embedded systems and currently in use on the International Space Station, enables reliable communication over networks in which timely data acknowledgments might not be possible due to transient link outages. (2) Policy-Based Management (PBM) provides dynamic management capabilities, allowing vital data to be exchanged selectively (with priority) by utilizing alternative communication resources. The resulting network may help railroads implement PTC faster, cheaper, and more reliably.

  3. Deep Convolutional Neural Networks: Structure, Feature Extraction and Training

    Directory of Open Access Journals (Sweden)

    Namatēvs Ivars

    2017-12-01

    Full Text Available Deep convolutional neural networks (CNNs are aimed at processing data that have a known network like topology. They are widely used to recognise objects in images and diagnose patterns in time series data as well as in sensor data classification. The aim of the paper is to present theoretical and practical aspects of deep CNNs in terms of convolution operation, typical layers and basic methods to be used for training and learning. Some practical applications are included for signal and image classification. Finally, the present paper describes the proposed block structure of CNN for classifying crucial features from 3D sensor data.

  4. Recovery Act: Geologic Sequestration Training and Research

    Energy Technology Data Exchange (ETDEWEB)

    Walsh, Peter; Esposito, Richard; Theodorou, Konstantinos; Hannon, Michael; Lamplugh, Aaron; Ellison, Kirk

    2013-06-30

    Work under the project entitled "Geologic Sequestration Training and Research," was performed by the University of Alabama at Birmingham and Southern Company from December 1, 2009, to June 30, 2013. The emphasis was on training of students and faculty through research on topics central to further development, demonstration, and commercialization of carbon capture, utilization, and storage (CCUS). The project had the following components: (1) establishment of a laboratory for measurement of rock properties, (2) evaluation of the sealing capacity of caprocks, (3) evaluation of porosity, permeability, and storage capacity of reservoirs, (4) simulation of CO{sub 2} migration and trapping in storage reservoirs and seepage through seal layers, (5) education and training of students through independent research on rock properties and reservoir simulation, and (6) development of an advanced undergraduate/graduate level course on coal combustion and gasification, climate change, and carbon sequestration. Four graduate students and one undergraduate student participated in the project. Two were awarded Ph.D. degrees for their work, the first in December 2010 and the second in August 2013. A third graduate student has proposed research on an advanced technique for measurement of porosity and permeability, and has been admitted to candidacy for the Ph.D. The fourth graduate student is preparing his proposal for research on CCUS and solid waste management. The undergraduate student performed experimental measurements on caprock and reservoir rock samples and received his B.S.M.E. degree in May 2012. The "Caprock Integrity Laboratory," established with support from the present project, is fully functional and equipped for measurement of porosity, permeability, minimum capillary displacement pressure, and effective permeability to gas in the presence of wetting phases. Measurements are made at ambient temperature and under reservoir conditions, including supercritical CO{sub 2

  5. One Health training and research activities in Western Europe

    Directory of Open Access Journals (Sweden)

    Reina Sikkema

    2016-11-01

    Full Text Available Introduction: The increase in emerging human infectious diseases that have a zoonotic origin and the increasing resistance of microorganisms to antimicrobial drugs have shown the need for collaborations between the human, animal and environmental health sectors. The One Health concept increasingly receives recognition from policy makers and researchers all over the world. This overview compiled research and education activities in the area of One Health in Western Europe (Austria, Belgium, France, Germany, Italy, Iceland, Ireland, Liechtenstein, Luxembourg, Monaco, the Netherlands, Portugal, Scandinavia, Spain, Switzerland, and the United Kingdom (UK, with a focus on infectious diseases. It can serve as a starting point for future initiatives and collaborations. Material and methods: A literature search for ‘One Health’ was performed using National Center for Biotechnology Information and Google. Moreover, information from global and European policy documents was collected and a questionnaire was designed to gather current One Health research and training activities in Western Europe. Results: This overview shows that there is considerable recognition for One Health in Europe, although most educational initiatives are recent. In Europe, the One Health approach is currently mainly advocated in relation to antimicrobial resistance (AMR. Many countries have incorporated the One Health approach in their policy to fight AMR, and funding possibilities for AMR research increased significantly. The number of national and international multidisciplinary research networks in the area of zoonotic diseases and One Health is increasing. Discussion: Although One Health has gained recognition in Europe, often a One Health approach to research and education in the area of zoonotic diseases and AMR is not implemented. In many countries, collaboration between sectors is still lacking, and One Health activities are predominantly initiated by the veterinary

  6. Training methods and facilities on reactor and simulators at the Grenoble Nuclear Research Centre

    International Nuclear Information System (INIS)

    Destot, M.; Siebert, S.

    1987-01-01

    Siloette is a CEA unit with a threshold vocation: operation of the Siloette 100 KW pool-type research reactor; basic training in reactor physics for nuclear power plant operators; and production of nuclear power plant simulators: PWR, GCR and more generally of all types of industrial unit simulators, thermal power plant, network, chemical plant, etc. From this experience, they would emphasize in particular the synergy arising from these complementary activities, the essential role of training in basic principles as a complement to operation training, and the ever-increasing importance of design ergonomics of the training means

  7. Mapping, Awareness, And Virtualization Network Administrator Training Tool Virtualization Module

    Science.gov (United States)

    2016-03-01

    McBride’s thesis selected the open-source Graphical Network Simulator–3 (GNS3), created primarily to provide a training platform for Cisco and...emulate supported Cisco devices running a Cisco internetwork operating system (IOS) image that has been hardened to achieve Defense Information...subdirectory for the VMs created in the project. Within the dynamips directory, there is a subdirectory called config, where the Cisco IOS.cfg files are

  8. Clustering, cooperation, and research in social networks

    Czech Academy of Sciences Publication Activity Database

    Vega-Redondo, F.; Slanina, František; Marsili, M.

    2005-01-01

    Roč. 3, 2-3 (2005), s. 628-638 ISSN 1542-4766 R&D Projects: GA MŠk(CZ) 1P04OCP10.001 Grant - others:MEC(ES) SEJ2004-02170; EU(XE) HPRN-CT-2002-00319 Institutional research plan: CEZ:AV0Z10100520 Keywords : sociophysics * random graphs * networks Subject RIV: BE - Theoretical Physics

  9. Academic Training: New Trends in Fusion Research

    CERN Multimedia

    Françoise Benz

    2004-01-01

    11, 12 and 13 October 2004-2005 ACADEMIC TRAINING PROGRAMME LECTURE SERIES 11 October from 11.00 to 12.00 hrs, 12 and 13 October from 10.00 to 12.00 hrs - 11 and 12 October in the Main Auditorium, bldg. 500, 13 October in the TH Amphitheatre New Trends in Fusion Research A. FASOLI / EPFL, Lausanne, CH The efforts of the international fusion community aim at demonstrating the scientific feasibility of thermonuclear fusion energy power plants. Understanding the behavior of burning plasmas, i.e. plasmas with strong self-heating, represents a primary scientific challenge for fusion research and a new science frontier. Although integrated studies will only be possible, in new, dedicated experimental facilities, such as the International Tokamak Experimental Reactor (ITER), present devices can address specific issues in regimes relevant to burning plasmas. Among these are an improvement of plasma performance via a reduction of the energy and particle transport, an optimization of the path to ignition or to su...

  10. Academic Training: New Trends in Fusion Research

    CERN Multimedia

    Françoise Benz

    2004-01-01

    11, 12 and 13 October 2004-2005 ACADEMIC TRAINING PROGRAMME LECTURE SERIES 11 October from 11.00 to 12.00 hrs, 12 and 13 October from 10.00 to 12.00 hrs - 11 and 12 October in the Main Auditorium, bldg. 500, 13 October in the Theory Conference Room, bldg. 4 New Trends in Fusion Research A. FASOLI / EPFL, Lausanne, CH The efforts of the international fusion community aim at demonstrating the scientific feasibility of thermonuclear fusion energy power plants. Understanding the behavior of burning plasmas, i.e. plasmas with strong self-heating, represents a primary scientific challenge for fusion research and a new science frontier. Although integrated studies will only be possible, in new, dedicated experimental facilities, such as the International Tokamak Experimental Reactor (ITER), present devices can address specific issues in regimes relevant to burning plasmas. Among these are an improvement of plasma performance via a reduction of the energy and particle transport, an optimization of the path to i...

  11. Research on artistic gymnastics training guidance model

    Science.gov (United States)

    Luo, Lin; Sun, Xianzhong

    2017-04-01

    Rhythmic gymnastics training guidance model, taking into consideration the features of artistic gymnastics training, is put forward to help gymnasts identify their deficiencies and unskilled technical movements and improve their training effects. The model is built on the foundation of both physical quality indicator model and artistic gymnastics training indicator model. Physical quality indicator model composed of bodily factor, flexibility-strength factor and speed-dexterity factor delivers an objective evaluation with reference to basic sport testing data. Training indicator model, based on physical fitness indicator, helps analyze the technical movements, through which the impact from each bodily factor on technical movements is revealed. AG training guidance model, in further combination with actual training data and in comparison with the data shown in the training indicator model, helps identify the problems in trainings, and thus improve the training effect. These three models when in combined use and in comparison with historical model data can check and verify the improvement in training effect over a certain period of time.

  12. Radiological contamination control training for laboratory research

    International Nuclear Information System (INIS)

    1997-02-01

    This program management guide describes the proper implementation standard for core training as outlined in the DOE Radiological Control (RadCon) Manual. The guide is to assist those individuals, both within the Department of Energy (DOE) and Managing and Operating (M and O) contractors, identified as having responsibility for implementing the core training recommended by the RadCon Manual. The management guide is divided into the following sections: introduction; instructional materials development; training program standards and policies; and course-specific information. The goal of the core training program is to provide a standardized, baseline knowledge for those individuals completing the core training. Standardization of the knowledge provides personnel with the information necessary to perform their assigned duties at a predetermined level of expertise. Implementing a core training program ensures consistent and appropriate training of personnel

  13. Cancer Control Research Training for Native Researchers: A Model for Development of Additional Native Researcher Training Programs

    Science.gov (United States)

    Becker, Thomas M.; Dunn, Esther; Tom-Orme, Lillian; Joe, Jennie

    2005-01-01

    Several social and biological scientists who have Native status are engaged in productive research careers, but the encouragement that has been offered to Native students to formulate career goals devoted to cancer etiology or cancer control in Native peoples has had limited success. Hence, the Native Researchers' Cancer Control Training Program…

  14. Shakeout: A New Approach to Regularized Deep Neural Network Training.

    Science.gov (United States)

    Kang, Guoliang; Li, Jun; Tao, Dacheng

    2017-05-05

    Recent years have witnessed the success of deep neural networks in dealing with a plenty of practical problems. Dropout has played an essential role in many successful deep neural networks, by inducing regularization in the model training. In this paper, we present a new regularized training approach: Shakeout. Instead of randomly discarding units as Dropout does at the training stage, Shakeout randomly chooses to enhance or reverse each unit's contribution to the next layer. This minor modification of Dropout has the statistical trait: the regularizer induced by Shakeout adaptively combines L0, L1 and L2 regularization terms. Our classification experiments with representative deep architectures on image datasets MNIST, CIFAR-10 and ImageNet show that Shakeout deals with over-fitting effectively and outperforms Dropout. We empirically demonstrate that Shakeout leads to sparser weights under both unsupervised and supervised settings. Shakeout also leads to the grouping effect of the input units in a layer. Considering the weights in reflecting the importance of connections, Shakeout is superior to Dropout, which is valuable for the deep model compression. Moreover, we demonstrate that Shakeout can effectively reduce the instability of the training process of the deep architecture.

  15. Establishment of Oversea HRD Network and Operation of International Nuclear Education/Training Program

    International Nuclear Information System (INIS)

    Lee, E. J.; Min, B. J.; Han, K. W.

    2008-02-01

    The project deals with establishment of international network for human resources and the development of international nuclear education and training programs. The primary result is the establishment of KAERI International Nuclear R and D Academy as a new activity on cooperation for human resource development and building network. For this purpose, KAERI concluded the MOU with Vietnamese Universities and selected 3 students to provide Master and Ph. D. Courses in 2008. KAERI also held the 3rd World Nuclear University Summer Institute, in which some 150 international nuclear professionals attended for 6 weeks. Also, as part of regional networking, the Asian Network for Education in Nuclear Technology (ANENT) was promoted through development of a cyber platform and accomplishment the first IAEA e-training course. There were 3 kind of development activities for the international cooperation of human resources development. Firstly, the project provided training courses on nuclear energy development for the Egyptian Nuclear personnel under the bilateral cooperation. Secondly, the project published the English textbook and its lecture materials on introduction to nuclear engineering and fundamentals on OPR 1000 system technology. Lastly, the project developed a new KOICA training course on research reactor and radioisotope application technology to expand the KOICA sponsorship from 2008. The international nuclear education/training program had offered 15 courses to 314 people from 52 countries. In parallel, the project developed 11 kinds of lecturer materials and also developed 29 kinds of cyber lecturer materials. The operation of the International Nuclear Training and Education Center (INTEC) has contributed remarkably not only to the effective implementation of education/training activities of this project, but also to the promotion of other domestic and international activities of KAERI and other organizations

  16. Artificial Neural Network with Hardware Training and Hardware Refresh

    Science.gov (United States)

    Duong, Tuan A. (Inventor)

    2003-01-01

    A neural network circuit is provided having a plurality of circuits capable of charge storage. Also provided is a plurality of circuits each coupled to at least one of the plurality of charge storage circuits and constructed to generate an output in accordance with a neuron transfer function. Each of a plurality of circuits is coupled to one of the plurality of neuron transfer function circuits and constructed to generate a derivative of the output. A weight update circuit updates the charge storage circuits based upon output from the plurality of transfer function circuits and output from the plurality of derivative circuits. In preferred embodiments, separate training and validation networks share the same set of charge storage circuits and may operate concurrently. The validation network has a separate transfer function circuits each being coupled to the charge storage circuits so as to replicate the training network s coupling of the plurality of charge storage to the plurality of transfer function circuits. The plurality of transfer function circuits may be constructed each having a transconductance amplifier providing differential currents combined to provide an output in accordance with a transfer function. The derivative circuits may have a circuit constructed to generate a biased differential currents combined so as to provide the derivative of the transfer function.

  17. Barriers to Research and Implications for Training Counselors

    Directory of Open Access Journals (Sweden)

    James R Ruby

    2013-03-01

    Full Text Available Research is an important part of quality clinical practice in the field of counseling. This study addresses the constraints that produce a gap in master’s level practitioner research among counselors in Illinois. Ninety-nine master’s level clinicians responded to surveys and answered a series of questions regarding what constrains them from being more involved in research. These respondents provided valuable feedback regarding possible recommendations for training that might encourage increased research activity for future master’s level counselors. Training improvements such as mentored research activity and training in less complex research methods were indicated. Keywords: Clinical practice, Implications, Barriers to research, less complex research

  18. A research on the application of software defined networking in satellite network architecture

    Science.gov (United States)

    Song, Huan; Chen, Jinqiang; Cao, Suzhi; Cui, Dandan; Li, Tong; Su, Yuxing

    2017-10-01

    Software defined network is a new type of network architecture, which decouples control plane and data plane of traditional network, has the feature of flexible configurations and is a direction of the next generation terrestrial Internet development. Satellite network is an important part of the space-ground integrated information network, while the traditional satellite network has the disadvantages of difficult network topology maintenance and slow configuration. The application of SDN technology in satellite network can solve these problems that traditional satellite network faces. At present, the research on the application of SDN technology in satellite network is still in the stage of preliminary study. In this paper, we start with introducing the SDN technology and satellite network architecture. Then we mainly introduce software defined satellite network architecture, as well as the comparison of different software defined satellite network architecture and satellite network virtualization. Finally, the present research status and development trend of SDN technology in satellite network are analyzed.

  19. Research training needs in Peruvian national TB/HIV programs

    Science.gov (United States)

    2010-01-01

    Background There are few published reports of research training needs assessments and research training programs. In an effort to expand this nascent field of study and to bridge the gap between research and practice, we sought to systematically assess the research training needs of health care professionals working at Peruvian governmental institutions leading HIV and tuberculosis (TB) control and among senior stakeholders in the field. Methods Six institutional workshops were conducted with the participation of 161 mid-level health professionals from agencies involved in national HIV and TB control. At each workshop informants completed a structured questionnaire and participated in small and large group discussions. Additional data and institutional commitment was obtained through in-depth interviews from 32 senior managers and researchers from the Ministry of Health, academia and NGOs. Results Participants exhibited an overwhelming receptivity for additional research training, observing a gap between current levels of research training and their perceived importance. Specialized skills in obtaining funding, developing research protocols, particularly in operational, behavioral and prevention research were considered in greatest need. Beyond research training, participants identified broader social, economic and political factors as influential in infectious disease control. Conclusions The needs assessment suggests that future training should focus on operational research techniques, rather than on clinical skill building or program implementation only. Strengthening health systems not only requires additional research training, but also adequate financial resources to implement research findings. PMID:20875140

  20. Environmental training research project. Final report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-04-01

    Santa Fe Community College serves an area including the city and county of Santa Fe. The population has a high percentage of Hispanics and a Native American population of about 3%. The student body at the college generally reflects that of the service district. The college strives to recruit students from all segments of the population so there is representation among all ethnic and economic groups. The college strives to serve students and the community by offering educational opportunities that meet the needs of both elements and which will lead to gainful employment. Instruction is also offered to meets needs for retraining, upgrades, and personal enlightenment. The college started a hazardous materials management program in the fall of 1991 which has since been renamed environmental management. The purpose of this program is to prepare students for environmental careers, to provide required training such as OSHA HAZWOPER and refresher courses, and to provide educational opportunities that would make the public more environmentally aware. The program content needs to be studied to ensure we`re meeting the needs of the students and the business community. There had not been a significant opportunity to conduct this research.

  1. Outcomes from the GLEON fellowship program. Training graduate students in data driven network science.

    Science.gov (United States)

    Dugan, H.; Hanson, P. C.; Weathers, K. C.

    2016-12-01

    In the water sciences there is a massive need for graduate students who possess the analytical and technical skills to deal with large datasets and function in the new paradigm of open, collaborative -science. The Global Lake Ecological Observatory Network (GLEON) graduate fellowship program (GFP) was developed as an interdisciplinary training program to supplement the intensive disciplinary training of traditional graduate education. The primary goal of the GFP was to train a diverse cohort of graduate students in network science, open-web technologies, collaboration, and data analytics, and importantly to provide the opportunity to use these skills to conduct collaborative research resulting in publishable scientific products. The GFP is run as a series of three week-long workshops over two years that brings together a cohort of twelve students. In addition, fellows are expected to attend and contribute to at least one international GLEON all-hands' meeting. Here, we provide examples of training modules in the GFP (model building, data QA/QC, information management, bayesian modeling, open coding/version control, national data programs), as well as scientific outputs (manuscripts, software products, and new global datasets) produced by the fellows, as well as the process by which this team science was catalyzed. Data driven education that lets students apply learned skills to real research projects reinforces concepts, provides motivation, and can benefit their publication record. This program design is extendable to other institutions and networks.

  2. Korean efforts for education and training network in nuclear technology

    International Nuclear Information System (INIS)

    Han, Kyong-Won; Lee, Eui-Jin

    2007-01-01

    Nuclear energy has been a backbone for Korea's remarkable economic growth, and will continue its essential role with 18 nuclear power plants in operation, 2 more units under construction, 6 more units in planning. Korea is operating its own designed nuclear power plants, such as KSNP, 1400, as well as self-design and operation of 30 MW Hanaro research reactor. Korea makes strong efforts to develop future nuclear technology. They are the System-Integrated Modular Advanced Reactor, SMART, Korea Advanced Liquid Metal reactor, KALIMER, Hydrogen Production reactor, and Proliferation-resistant Nuclear Fuel Cycle. In parallel, Korea is establishing an Advanced Radiation Technology R and D Center and a High Power Proton Accelerator Center. International, next generation nuclear power technologies are being developed through projects such as the IAEA Innovative Nuclear Reactors and Fuel Cycle, INPRO, Generation IV International Forum, GIF, and International thermonuclear Experimental reactor, ITER. In the new millennium, Korea expects that radiation technology combined with bio, nano, and space technology will sustain our civilization. About 21,000 qualified nuclear human resources are engaged in power and non-power fields such as design and manufacturing of equipment, plant operation and maintenance, safety, RI production, R and D, etc. However, it is recognized that the first generation of nuclear work force is getting older and retired, less of our youth are studying nuclear science and engineering. Korean Government has established a promotion program on nuclear human resources development, which is needed until 2010. For the sustainable development of nuclear science and technology, it calls for more qualified human resources. We ought to encourage our youth to become more interested in nuclear studies and careers. Korea is making strong efforts to support nuclear education and training for young generations. It is believed that internationally accepted advanced

  3. Research on 6R Military Logistics Network

    Science.gov (United States)

    Jie, Wan; Wen, Wang

    The building of military logistics network is an important issue for the construction of new forces. This paper has thrown out a concept model of 6R military logistics network model based on JIT. Then we conceive of axis spoke y logistics centers network, flexible 6R organizational network, lean 6R military information network based grid. And then the strategy and proposal for the construction of the three sub networks of 6Rmilitary logistics network are given.

  4. Bioinformatics Training Network (BTN): a community resource for bioinformatics trainers

    DEFF Research Database (Denmark)

    Schneider, Maria V.; Walter, Peter; Blatter, Marie-Claude

    2012-01-01

    Funding bodies are increasingly recognizing the need to provide graduates and researchers with access to short intensive courses in a variety of disciplines, in order both to improve the general skills base and to provide solid foundations on which researchers may build their careers. In response...... to the development of ‘high-throughput biology’, the need for training in the field of bioinformatics, in particular, is seeing a resurgence: it has been defined as a key priority by many Institutions and research programmes and is now an important component of many grant proposals. Nevertheless, when it comes...... to planning and preparing to meet such training needs, tension arises between the reward structures that predominate in the scientific community which compel individuals to publish or perish, and the time that must be devoted to the design, delivery and maintenance of high-quality training materials...

  5. Research on Evolutionary Mechanism of Agile Supply Chain Network via Complex Network Theory

    Directory of Open Access Journals (Sweden)

    Nai-Ru Xu

    2016-01-01

    Full Text Available The paper establishes the evolutionary mechanism model of agile supply chain network by means of complex network theory which can be used to describe the growth process of the agile supply chain network and analyze the complexity of the agile supply chain network. After introducing the process and the suitability of taking complex network theory into supply chain network research, the paper applies complex network theory into the agile supply chain network research, analyzes the complexity of agile supply chain network, presents the evolutionary mechanism of agile supply chain network based on complex network theory, and uses Matlab to simulate degree distribution, average path length, clustering coefficient, and node betweenness. Simulation results show that the evolution result displays the scale-free property. It lays the foundations of further research on agile supply chain network based on complex network theory.

  6. Redes En Acción. Increasing Hispanic participation in cancer research, training, and awareness.

    Science.gov (United States)

    Ramirez, Amelie G; Talavera, Gregory A; Marti, Jose; Penedo, Frank J; Medrano, Martha A; Giachello, Aida L; Pérez-Stable, Eliseo J

    2006-10-15

    Hispanics are affected by many health care disparities. The National Cancer Institute (NCI), through its Special Populations Branch, is supporting networking and capacity-building activities designed to increase Hispanic participation and leadership in cancer research. Redes En Acción established a national network of cancer research centers, community-based organizations, and federal partners to facilitate opportunities for junior Hispanic scientists to participate in training and research projects on cancer control. Since 2000, Redes En Acción has established a network of more than 1800 Hispanic leaders involved in cancer research and education. The project has sustained 131 training positions and submitted 29 pilot projects to NCI for review, with 16 awards for a total of $800,000, plus an additional $8.8 million in competing grant funding based on pilot study results to date. Independent research has leveraged an additional $32 million in non-Redes funding, and together the national and regional network sites have participated in more than 1400 community and professional awareness events. In addition, the program conducted extensive national survey research that provided the basis for the Redes En Acción Latino Cancer Report, a national agenda on Hispanic cancer issues. Redes En Acción has increased participation in cancer control research, training, and awareness among Hispanic scientists and within Hispanic communities. Cancer 2006. (c) 2006 American Cancer Society.

  7. Improving public health training and research capacity in Africa: a replicable model for linking training to health and socio-demographic surveillance data.

    Science.gov (United States)

    Williams, Jill R; Schatz, Enid J; Clark, Benjamin D; Collinson, Mark A; Clark, Samuel J; Menken, Jane; Kahn, Kathleen; Tollman, Stephen M

    2010-08-31

    Research training for public health professionals is key to the future of public health and policy in Africa. A growing number of schools of public health are connected to health and socio-demographic surveillance system field sites in developing countries, in Africa and Asia in particular. Linking training programs with these sites provides important opportunities to improve training, build local research capacity, foreground local health priorities, and increase the relevance of research to local health policy. To increase research training capacity in public health programs by providing targeted training to students and increasing the accessibility of existing data. This report is a case study of an approach to linking public health research and training at the University of the Witwatersrand. We discuss the development of a sample training database from the Agincourt Health and Socio-demographic Surveillance System in South Africa and outline a concordant transnational intensive short course on longitudinal data analysis offered by the University of the Witwatersrand and the University of Colorado-Boulder. This case study highlights ways common barriers to linking research and training can be overcome. This collaborative effort demonstrates that linking training to ongoing data collection can improve student research, accelerate student training, and connect students to an international network of scholars. Importantly, the approach can be adapted to other partnerships between schools of public health and longitudinal research sites.

  8. Improving public health training and research capacity in Africa: a replicable model for linking training to health and socio-demographic surveillance data

    Directory of Open Access Journals (Sweden)

    Jill R. Williams

    2010-08-01

    Full Text Available Background: Research training for public health professionals is key to the future of public health and policy in Africa. A growing number of schools of public health are connected to health and socio-demographic surveillance system field sites in developing countries, in Africa and Asia in particular. Linking training programs with these sites provides important opportunities to improve training, build local research capacity, foreground local health priorities, and increase the relevance of research to local health policy. Objective: To increase research training capacity in public health programs by providing targeted training to students and increasing the accessibility of existing data. Design: This report is a case study of an approach to linking public health research and training at the University of the Witwatersrand. We discuss the development of a sample training database from the Agincourt Health and Socio-demographic Surveillance System in South Africa and outline a concordant transnational intensive short course on longitudinal data analysis offered by the University of the Witwatersrand and the University of Colorado-Boulder. This case study highlights ways common barriers to linking research and training can be overcome. Results and Conclusions: This collaborative effort demonstrates that linking training to ongoing data collection can improve student research, accelerate student training, and connect students to an international network of scholars. Importantly, the approach can be adapted to other partnerships between schools of public health and longitudinal research sites.

  9. Historical overview of the process of training of Senior Technician in Nursing in relation to research training

    Directory of Open Access Journals (Sweden)

    Lola Rosario Altamirano-Baquerizo

    2016-07-01

    Full Text Available The formation of the Senior Technician in Nursing has been studied by many researchers as a process that integrates knowledge, skills and attitudes for the development of techniques and nursing procedures to healthy individuals or patients, families and community in the various bodies of the Network Asistencial. This paper identifies the training needs of Technician in Nursing, as it has found some shortcomings that do not refer to little curricular and methodological intent of the research training of this professional in the Bolivarian Technological Institute of Ecuador. In addressing the characterization of the historical background of the formation of the Senior Technician in Nursing el-logical historical method to use as documentation reviewing educational programs and policies of vocational training the technical level in the Ecuadorian higher education was used.

  10. Training and validation of the ATLAS pixel clustering neural networks

    CERN Document Server

    The ATLAS collaboration

    2018-01-01

    The high centre-of-mass energy of the LHC gives rise to dense environments, such as the core of high-pT jets, in which the charge clusters left by ionising particles in the silicon sensors of the pixel detector can merge, compromising the tracking and vertexing efficiency. To recover optimal performance, a neural network-based approach is used to separate clusters originating from single and multiple particles and to estimate all hit positions within clusters. This note presents the training strategy employed and a set of benchmark performance measurements on a Monte Carlo sample of high-pT dijet events.

  11. EduCamp Colombia: Social Networked Learning for Teacher Training

    Directory of Open Access Journals (Sweden)

    Diego Ernesto Leal Fonseca

    2011-03-01

    Full Text Available This paper describes a learning experience called EduCamp, which was launched by the Ministry of Education of Colombia in 2007, based on emerging concepts such as e-Learning 2.0, connectivism, and personal learning environments. An EduCamp proposes an unstructured collective learning experience, which intends to make palpable the possibilities of social software tools in learning and interaction processes while demonstrating face-to-face organizational forms that reflect social networked learning ideas. The experience opens new perspectives for the design of technology training workshops and for the development of lifelong learning experiences.

  12. A framework for parallel and distributed training of neural networks.

    Science.gov (United States)

    Scardapane, Simone; Di Lorenzo, Paolo

    2017-07-01

    The aim of this paper is to develop a general framework for training neural networks (NNs) in a distributed environment, where training data is partitioned over a set of agents that communicate with each other through a sparse, possibly time-varying, connectivity pattern. In such distributed scenario, the training problem can be formulated as the (regularized) optimization of a non-convex social cost function, given by the sum of local (non-convex) costs, where each agent contributes with a single error term defined with respect to its local dataset. To devise a flexible and efficient solution, we customize a recently proposed framework for non-convex optimization over networks, which hinges on a (primal) convexification-decomposition technique to handle non-convexity, and a dynamic consensus procedure to diffuse information among the agents. Several typical choices for the training criterion (e.g., squared loss, cross entropy, etc.) and regularization (e.g., ℓ 2 norm, sparsity inducing penalties, etc.) are included in the framework and explored along the paper. Convergence to a stationary solution of the social non-convex problem is guaranteed under mild assumptions. Additionally, we show a principled way allowing each agent to exploit a possible multi-core architecture (e.g., a local cloud) in order to parallelize its local optimization step, resulting in strategies that are both distributed (across the agents) and parallel (inside each agent) in nature. A comprehensive set of experimental results validate the proposed approach. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Community pharmacist participation in a practice-based research network: a report from the Medication Safety Research Network of Indiana (Rx-SafeNet).

    Science.gov (United States)

    Patel, Puja; Hemmeger, Heather; Kozak, Mary Ann; Gernant, Stephanie A; Snyder, Margie E

    2015-01-01

    To describe the experiences and opinions of pharmacists serving as site coordinators for the Medication Safety Research Network of Indiana (Rx-SafeNet). Retail chain, independent, and hospital/health system outpatient community pharmacies throughout Indiana, with a total of 127 pharmacy members represented by 26 site coordinators. Rx-SafeNet, a statewide practice-based research network (PBRN) formed in 2010 and administered by the Purdue University College of Pharmacy. Barriers and facilitators to participation in available research studies, confidence participating in research, and satisfaction with overall network communication. 22 of 26 site coordinators participated, resulting in an 85% response rate. Most (72.2%) of the respondents had received a doctor of pharmacy degree, and 13.6% had postgraduate year (PGY)1 residency training. The highest reported benefits of PBRN membership were an enhanced relationship with the Purdue University College of Pharmacy (81% agreed or strongly agreed) and enhanced professional development (80% agreed or strongly agreed). Time constraints were identified as the greatest potential barrier to network participation, reported by 62% of respondents. In addition, the majority (59%) of survey respondents identified no prior research experience. Last, respondents' confidence in performing research appeared to increase substantially after becoming network members, with 43% reporting a lack of confidence in engaging in research before joining the network compared with 90% reporting confidence after joining the network. In general, Rx-SafeNet site coordinators appeared to experience increased confidence in research engagement after joining the network. While respondents identified a number of benefits associated with network participation, concerns about potential time constraints remained a key barrier to participation. These findings will assist network leadership in identifying opportunities to positively increase member participation

  14. Advanced Pediatric Brain Imaging Research and Training Program

    Science.gov (United States)

    2017-10-01

    Award Number: W81XWH-11-2-0198 TITLE: Advanced Pediatric Brain Imaging Research and Training Program PRINCIPAL INVESTIGATOR: Catherine...TITLE AND SUBTITLE 5a. CONTRACT NUMBER Advanced Pediatric Brain Imaging Research and Training Program 5b. GRANT NUMBER W81XWH-11-2-0198 5c. PROGRAM...13. SUPPLEMENTARY NOTES 14. ABSTRACT The focus of our BRAIN training program over the past year of the project is to successfully convert the

  15. Network Training for a Boy with Learning Disabilities and Behaviours That Challenge

    Science.gov (United States)

    Cooper, Kate; McElwee, Jennifer

    2016-01-01

    Background: Network Training is an intervention that draws upon systemic ideas and behavioural principles to promote positive change in networks of support for people defined as having a learning disability. To date, there are no published case studies looking at the outcomes of Network Training. Materials and Methods: This study aimed to…

  16. Mapping training needs for dissemination and implementation research: lessons from a synthesis of existing D&I research training programs.

    Science.gov (United States)

    Chambers, David A; Proctor, Enola K; Brownson, Ross C; Straus, Sharon E

    2017-09-01

    With recent growth in the field of dissemination and implementation (D&I) research, multiple training programs have been developed to build capacity, including summer training institutes, graduate courses, degree programs, workshops, and conferences. While opportunities for D&I research training have expanded, course organizers acknowledge that available slots are insufficient to meet demand within the scientific and practitioner community. In addition, individual programs have struggled to best fit various needs of trainees, sometimes splitting coursework between specific D&I content and more introductory grant writing material. This article, stemming from a 2013 NIH workshop, reviews experiences across multiple training programs to align training needs, career stage and role, and availability of programs. We briefly review D&I needs and opportunities by career stage and role, discuss variations among existing training programs in format, mentoring relationships, and other characteristics, identify challenges of mapping needs of trainees to programs, and present recommendations for future D&I research training.

  17. The selection and training of fieldworkers in educational research: a ...

    African Journals Online (AJOL)

    Erna Kinsey

    according to themes and patterns using the constant comparative method. The findings suggested that, for a number of reasons, researchers struggle to achieve the quality of fieldworker training that they know to be desirable, and that certain forms of research run the risk of underestimating the importance of training ...

  18. GLANAM (Glaciated North Atlantic Margins): A Marie Curie Initial Training Network between Norway, the UK & Denmark

    Science.gov (United States)

    Petter Sejrup, Hans; Oline Hjelstuen, Berit

    2015-04-01

    GLANAM (Glaciated North Atlantic Margins) is an Initial Training Network (ITN) funded under the EU Marie Curie Programme. It comprises 10 research partners from Norway, UK and Denmark, including 7 University research teams, 1 industrial full partner and 2 industrial associate partners. The GLANAM network will employ and train 15 early career researchers (Fellows). The aim of GLANAM is to improve the career prospects and development of young researchers in both the public and private sector within the field of earth science, focusing on North Atlantic glaciated margins. The young scientists will perform multi-disciplinary research and receive training in geophysics, remote sensing, GIS, sedimentology, geomorphology, stratigraphy, geochemistry and numerical modeling through three interconnected work packages that collectively address knowledge gaps related to the large, glacial age, sedimentary depocentres on the North Atlantic margin. The 15 Fellows will work on projects that geographically extend from Ireland in the south to the High Arctic. Filling these gaps will not only result in major new insights regarding glacial age processes on continental margins in general, but will also provide paleoclimate information essential for understanding the role of marine-based ice sheets in the climate system and for the testing of climate models. GLANAM brings together leading European research groups working on glaciated margins in a coordinated and collaborative research and training project. Focusing on the North Atlantic margins, this coordinated approach will lead to a major advance in the understanding of glaciated margins more widely and will fundamentally strengthen European research and build capacity in this field.

  19. Spreading of Excellence in SARNET Network on Severe Accidents: The Education and Training Programme

    Directory of Open Access Journals (Sweden)

    Sandro Paci

    2012-01-01

    Full Text Available The SARNET2 (severe accidents Research NETwork of Excellence project started in April 2009 for 4 years in the 7th Framework Programme (FP7 of the European Commission (EC, following a similar first project in FP6. Forty-seven organisations from 24 countries network their capacities of research in the severe accident (SA field inside SARNET to resolve the most important remaining uncertainties and safety issues on SA in water-cooled nuclear power plants (NPPs. The network includes a large majority of the European actors involved in SA research plus a few non-European relevant ones. The “Education and Training” programme in SARNET is a series of actions foreseen in this network for the “spreading of excellence.” It is focused on raising the competence level of Master and Ph.D. students and young researchers engaged in SA research and on organizing information/training courses for NPP staff or regulatory authorities (but also for researchers interested in SA management procedures.

  20. The network researchers' network: A social network analysis of the IMP Group 1985-2006

    DEFF Research Database (Denmark)

    Henneberg, Stephan C. M.; Ziang, Zhizhong; Naudé, Peter

    ). In this paper, based upon the papers presented at the 22 conferences held to date, we undertake a Social Network Analysis in order to examine the degree of co-publishing that has taken place between this group of researchers. We identify the different components in this database, and examine the large main......The Industrial Marketing and Purchasing (IMP) Group is a network of academic researchers working in the area of business-to-business marketing. The group meets every year to discuss and exchange ideas, with a conference having been held every year since 1984 (there was no meeting in 1987...

  1. Signal or noise: brain network interactions underlying the experience and training of mindfulness.

    Science.gov (United States)

    Mooneyham, Benjamin W; Mrazek, Michael D; Mrazek, Alissa J; Schooler, Jonathan W

    2016-04-01

    A broad set of brain regions has been associated with the experience and training of mindfulness. Many of these regions lie within key intrinsic brain networks, including the executive control, salience, and default networks. In this paper, we review the existing literature on the cognitive neuroscience of mindfulness through the lens of network science. We describe the characteristics of the intrinsic brain networks implicated in mindfulness and summarize the relevant findings pertaining to changes in functional connectivity (FC) within and between these networks. Convergence across these findings suggests that mindfulness may be associated with increased FC between two regions within the default network: the posterior cingulate cortex and the ventromedial prefrontal cortex. Additionally, extensive meditation experience may be associated with increased FC between the insula and the dorsolateral prefrontal cortex. However, little consensus has emerged within the existing literature owing to the diversity of operational definitions of mindfulness, neuroimaging methods, and network characterizations. We describe several challenges to develop a coherent cognitive neuroscience of mindfulness and to provide detailed recommendations for future research. © 2016 New York Academy of Sciences.

  2. Network Resources and Training Site at Elizabeth City State University

    Science.gov (United States)

    Hayden, Linda Bailey

    1996-01-01

    The format of the annual report follows the same format as the quarterly report. In the annual report Elizabeth City State University (ECSU) has included responses to the items listed in the 'Critique of Quarterly Report Summary, and the 'Technical Recommendations for Consideration to NRTS/ECSU'. A budget for FY96-97 is included requesting $500,000.00 to cover the operating expenses of the Network Resources Training Site (NRTS) and its current partners as outlined in the original grant. The final attachment is a proposal to expand the partnerships and services of the NRTS at ECSU. This proposal would increase the number of predominantly minority attended secondary schools that this NRTS services and to support participation of these secondary schools in the GLOBE, ATLAS and Skymath projects. The proposal would also make Bennett College a full partner in the NRTS and it would increase the networking funds available to Virginia State University (HBCU/MI partner). Funds to increase the NRTS staff size to support the new partners and extended services is included in the extension budget. The NRTS Office Staff provides training and technical expertise to all its partners. In the appendix of the report, you will find technical soundness questionnaires and campus LAN Diagrams for the HBCU/MI Partners.

  3. Training of reverse propagation neural networks applied to neutron dosimetry

    International Nuclear Information System (INIS)

    Hernandez P, C. F.; Martinez B, M. R.; Leon P, A. A.; Espinoza G, J. G.; Castaneda M, V. H.; Solis S, L. O.; Castaneda M, R.; Ortiz R, M.; Vega C, H. R.; Mendez V, R.; Gallego, E.; De Sousa L, M. A.

    2016-10-01

    Neutron dosimetry is of great importance in radiation protection as aims to provide dosimetric quantities to assess the magnitude of detrimental health effects due to exposure of neutron radiation. To quantify detriment to health is necessary to evaluate the dose received by the occupationally exposed personnel using different detection systems called dosimeters, which have very dependent responses to the energy distribution of neutrons. The neutron detection is a much more complex problem than the detection of charged particles, since it does not carry an electric charge, does not cause direct ionization and has a greater penetration power giving the possibility of interacting with matter in a different way. Because of this, various neutron detection systems have been developed, among which the Bonner spheres spectrometric system stands out due to the advantages that possesses, such as a wide range of energy, high sensitivity and easy operation. However, once obtained the counting rates, the problem lies in the neutron spectrum deconvolution, necessary for the calculation of the doses, using different mathematical methods such as Monte Carlo, maximum entropy, iterative methods among others, which present various difficulties that have motivated the development of new technologies. Nowadays, methods based on artificial intelligence technologies are being used to perform neutron dosimetry, mainly using the theory of artificial neural networks. In these new methods the need for spectrum reconstruction can be eliminated for the calculation of the doses. In this work an artificial neural network or reverse propagation was trained for the calculation of 15 equivalent doses from the counting rates of the Bonner spheres spectrometric system using a set of 7 spheres, one of 2 spheres and two of a single sphere of different sizes, testing different error values until finding the most appropriate. The optimum network topology was obtained through the robust design

  4. Training for Certification: Demonstration & Research Pest Control.

    Science.gov (United States)

    Mississippi State Univ., State College. Cooperative Extension Service.

    This Cooperative Extension Service publication from Mississippi State University is a training guide for commercial pesticide applicators. Focusing on agricultural pest control, this publication includes a full range of topics from uses of pesticides for agricultural animal pest control to the toxicity of common pesticides to fish and bees.…

  5. Modern International Research Groups: Networks and Infrastructure

    Science.gov (United States)

    Katehi, Linda

    2009-05-01

    In a globalized economy, education and research are becoming increasing international in content and context. Academic and research institutions worldwide try to internationalize their programs by setting formal or informal collaborations. An education that is enhanced by international experiences leads to mobility of the science and technology workforce. Existing academic cultures and research structures are at odds with efforts to internationalize education. For the past 20-30 years, the US has recognized the need to improve the abroad experience of our scientists and technologists: however progress has been slow. Despite a number of both federally and privately supported programs, efforts to scale up the numbers of participants have not been satisfactory. The exchange is imbalanced as more foreign scientists and researchers move to the US than the other way around. There are a number of issues that contribute to this imbalance but we could consider the US academic career system, as defined by its policies and practices, as a barrier to internationalizing the early career faculty experience. Strict curricula, pre-tenure policies and financial commitments discourage students, post doctoral fellows and pre-tenure faculty from taking international leaves to participate in research abroad experiences. Specifically, achieving an international experience requires funding that is not provided by the universities. Furthermore, intellectual property requirements and constraints in pre-tenure probationary periods may discourage students and faculty from collaborations with peers across the Atlantic or Pacific or across the American continent. Environments that support early career networking are not available. This presentation will discuss the increasing need for international collaborations and will explore the need for additional programs, more integration, better conditions and improved infrastructures that can encourage and support mobility of scientists. In addition

  6. Recent Themes in Social Networking Service Research.

    Directory of Open Access Journals (Sweden)

    John S Liu

    Full Text Available The body of literature addressing the phenomenon related to social networking services (SNSs has grown rather fast recently. Through a systematic and quantitative approach, this study identifies the recent SNS research themes, which are the issues discussed by a coherent and growing subset of this literature. A set of academic articles retrieved from the Web of Science database is used as the basis for uncovering the recent themes. We begin the analysis by constructing a citation network which is further separated into groups after applying a widely used clustering method. The resulting clusters all consist of articles coherent in citation relationships. This study suggests eight fast growing recent themes. They span widely encompassing politics, romantic relationships, public relations, journalism, and health. Among them, four focus their issues largely on Twitter, three on Facebook, and one generally on both. While discussions on traditional issues in SNSs such as personality, motivations, self-disclosure, narcissism, etc. continue to lead the pack, the proliferation of the highlighted recent themes in the near future is very likely to happen.

  7. Recent Themes in Social Networking Service Research.

    Science.gov (United States)

    Liu, John S; Ho, Mei Hsiu-Ching; Lu, Louis Y Y

    2017-01-01

    The body of literature addressing the phenomenon related to social networking services (SNSs) has grown rather fast recently. Through a systematic and quantitative approach, this study identifies the recent SNS research themes, which are the issues discussed by a coherent and growing subset of this literature. A set of academic articles retrieved from the Web of Science database is used as the basis for uncovering the recent themes. We begin the analysis by constructing a citation network which is further separated into groups after applying a widely used clustering method. The resulting clusters all consist of articles coherent in citation relationships. This study suggests eight fast growing recent themes. They span widely encompassing politics, romantic relationships, public relations, journalism, and health. Among them, four focus their issues largely on Twitter, three on Facebook, and one generally on both. While discussions on traditional issues in SNSs such as personality, motivations, self-disclosure, narcissism, etc. continue to lead the pack, the proliferation of the highlighted recent themes in the near future is very likely to happen.

  8. Privacy Issues of a National Research and Education Network.

    Science.gov (United States)

    Katz, James E.; Graveman, Richard F.

    1991-01-01

    Discussion of the right to privacy of communications focuses on privacy expectations within a National Research and Education Network (NREN). Highlights include privacy needs in scientific and education communications; academic and research networks; network security and privacy concerns; protection strategies; and consequences of privacy…

  9. Research of Innovation Diffusion on Industrial Networks

    Directory of Open Access Journals (Sweden)

    Yongtai Chen

    2014-01-01

    Full Text Available The real value of innovation consists in its diffusion on industrial network. The factors which affect the diffusion of innovation on industrial network are the topology of industrial network and rules of diffusion. Industrial network is a complex network which has scale-free and small-world characters; its structure has some affection on threshold, length of path, enterprise’s status, and information share of innovation diffusion. Based on the cost and attitude to risk of technical innovation, we present the “avalanche” diffusing model of technical innovation on industrial network.

  10. A novel neural networks training algorithm based on PSO:application to nuclear reactors accidents diagnosis

    International Nuclear Information System (INIS)

    Elaraby, S.M.; Zaky, M.M.; Emara, M.M.; El-metwally, K.

    2004-01-01

    Nuclear plant accidents can cause injuries to operators, public as well as environment. Hence, advanced fault diagnosis techniques for nuclear plants are necessary to early detect, isolate and diagnose faults and accidents. This paper presents a new technique for accidents diagnosis of nuclear plants based on artificial neural networks. A new training technique based on particle swarm optimization (PSO) has been investigated to train the neural network. Results show the effectiveness of the technique for neural network training to diagnose nuclear reactor accidents

  11. Research into the Use of Intranets for Training.

    Science.gov (United States)

    Tucker, Brian

    The use of intranets for training and disseminating information was examined through a review of the following: print periodicals; websites of the European Network for Learning with Multimedia the Access and two British newspapers; postings to the Intranet Journal discussion groups; a general Internet search; and discussions with several leading…

  12. A new approach to mentoring for research careers: the National Research Mentoring Network.

    Science.gov (United States)

    Sorkness, Christine A; Pfund, Christine; Ofili, Elizabeth O; Okuyemi, Kolawole S; Vishwanatha, Jamboor K; Zavala, Maria Elena; Pesavento, Theresa; Fernandez, Mary; Tissera, Anthony; Deveci, Alp; Javier, Damaris; Short, Alexis; Cooper, Paige; Jones, Harlan; Manson, Spero; Buchwald, Dedra; Eide, Kristin; Gouldy, Andrea; Kelly, Erin; Langford, Nicole; McGee, Richard; Steer, Clifford; Unold, Thad; Weber-Main, Anne Marie; Báez, Adriana; Stiles, Jonathan; Pemu, Priscilla; Thompson, Winston; Gwathmey, Judith; Lawson, Kimberly; Johnson, Japera; Hall, Meldra; Paulsen, Douglas; Fouad, Mona; Smith, Ann; Luna, Rafael; Wilson, Donald; Adelsberger, Greg; Simenson, Drew; Cook, Abby; Feliu-Mojer, Monica; Harwood, Eileen; Jones, Amy; Branchaw, Janet; Thomas, Stephen; Butz, Amanda; Byars-Winston, Angela; House, Stephanie; McDaniels, Melissa; Quinn, Sandra; Rogers, Jenna; Spencer, Kim; Utzerath, Emily; Duplicate Of Weber-Main; Womack, Veronica

    2017-01-01

    Effective mentorship is critical to the success of early stage investigators, and has been linked to enhanced mentee productivity, self-efficacy, and career satisfaction. The mission of the National Research Mentoring Network (NRMN) is to provide all trainees across the biomedical, behavioral, clinical, and social sciences with evidence-based mentorship and professional development programming that emphasizes the benefits and challenges of diversity, inclusivity, and culture within mentoring relationships, and more broadly the research workforce. The purpose of this paper is to describe the structure and activities of NRMN. NRMN serves as a national training hub for mentors and mentees striving to improve their relationships by better aligning expectations, promoting professional development, maintaining effective communication, addressing equity and inclusion, assessing understanding, fostering independence, and cultivating ethical behavior. Training is offered in-person at institutions, regional training, or national meetings, as well as via synchronous and asynchronous platforms; the growing training demand is being met by a cadre of NRMN Master Facilitators. NRMN offers career stage-focused coaching models for grant writing, and other professional development programs. NRMN partners with diverse stakeholders from the NIH-sponsored Diversity Program Consortium (DPC), as well as organizations outside the DPC to work synergistically towards common diversity goals. NRMN offers a virtual portal to the Network and all NRMN program offerings for mentees and mentors across career development stages. NRMNet provides access to a wide array of mentoring experiences and resources including MyNRMN, Guided Virtual Mentorship Program, news, training calendar, videos, and workshops. National scale and sustainability are being addressed by NRMN "Coaches-in-Training" offerings for more senior researchers to implement coaching models across the nation. "Shark Tanks" provide

  13. Networking: a catalyst in science and technological research ...

    African Journals Online (AJOL)

    This research focuses on the network of networks access, usage, and productivity by the research scientists of Federal Institute of Industrial Research, Oshodi Lagos. Data was gathered through the use of questionnaire randomly administered to 100 research scientists in two phases. The phases were before and after the ...

  14. Advances in European drought research efforts and related research networks

    Science.gov (United States)

    Tallaksen, Lena; van Lanen, Henny

    2010-05-01

    Drought is a complex phenomenon with wide-ranging socio-economic and environmental impacts; still drought research and operational applications like drought monitoring and forecasting, have been lagging behind the development in flood-related research. However, recently several drought research projects and networks have emerged in Europe, partly in response to the occurrence of a series of dry and hot summers in the 21st century, notable the record breaking 2003 event covering large part of central Europe. These events were a strong reminder of Europe's vulnerability to drought and neither were forecasted. Meteorological drought is caused by regional or meso- (synoptic) scale spatial and temporal anomalies in the climatic system, which control the natural short- and long term variability in drought occurrence. However, climate forcing by synoptic scale conditions is not the only cause of drought, also various regional land-surface feedbacks through soil moisture and vegetation, concur to amplify dry weather and high summer temperatures. A deficit in the climatic water balance may affect all components of the hydrological cycle through a reduction in soil moisture, groundwater and surface water and subsequently, reduced water availability. Understanding how a climate water deficiency propagates through the hydrological system and its feedbacks to the atmosphere is crucial to develop drought mitigation and adaptation plans. Moreover, it is the basis for early warning and forecasting of hydrological drought (groundwater and surface water). A review of drought studies from the 20th century suggests that drought in Europe has occurred more frequently in the latter part of the century, partly enhanced by higher temperatures. However, the scientific understanding of the driving forces behind large-scale droughts is incomplete and further complicated by insufficient knowledge about long-term (decadal and millennial) natural variability. Moreover, the role of the physical

  15. Predoctoral Training Program in Breast Cancer Research

    National Research Council Canada - National Science Library

    Stern, David F

    2004-01-01

    .... This means that research on breast cancer has finally advanced to the stage where a concentrated effort in translational research will yield great strides in detection, diagnosis, and treatment...

  16. Pedagogical Training and Research in Engineering Education

    Science.gov (United States)

    Wankat, Phillip C.

    2008-01-01

    Ferment in engineering has focused increased attention on undergraduate engineering education, and has clarified the need for rigorous research in engineering education. This need has spawned the new research field of Engineering Education and greatly increased interest in earning Ph.D. degrees based on rigorous engineering education research.…

  17. Connecting the Dots: Understanding the Flow of Research Knowledge within a Research Brokering Network

    Science.gov (United States)

    Rodway, Joelle

    2015-01-01

    Networks are frequently cited as an important knowledge mobilization strategy; however, there is little empirical research that considers how they connect research and practice. Taking a social network perspective, I explore how central office personnel find, understand and share research knowledge within a research brokering network. This mixed…

  18. Using GPI-2 for distributed memory paralleliziation of the caffe toolbox to speed up deep neural network training

    OpenAIRE

    Kühn, Martin; Keuper, Janis; Pfreundt, Franz-Josef

    2017-01-01

    Deep Neural Network (DNN) are currently of great inter- est in research and application. The training of these net- works is a compute intensive and time consuming task. To reduce training times to a bearable amount at reasonable cost we extend the popular Caffe toolbox for DNN with an efficient distributed memory communication pattern. To achieve good scalability we emphasize the overlap of computation and communication and prefer fine granu- lar synchronization patterns over global barriers...

  19. Collaboration networks and research productivity at IPEN

    International Nuclear Information System (INIS)

    Monteiro, Carlos Anisio; Barroso, Antonio Carlos de Oliveira

    2015-01-01

    In this article, we investigate the IPEN's scientific collaboration network. Based on publications registered in IPEN's technical and scientific database was extracted a set of authors that developed technical and scientific work on the 2001 to 2010 period, using coauthorship to define the relationship between authors. From the data collected, we used degree centrality indicator in conjunction with two approaches to assess the relationship between collaboration and productivity: normal count, where for each publication that the author appears is added one for the author’s productivity indicator, and fractional count which is added a fractional value according to the total number of publication's authors. We concluded that collaboration for the development of a technical and scientific work has a positive correlation with the researchers productivity, that is, the greater the collaboration greater the productivity. We presented, also, a statistical summary to reveal the total number of publications and the number of IPEN's authors by publication, the average number of IPEN's authors per publication and the average number of publications by IPEN's author, the number of IPEN's authors that not published with no other author of the IPEN and, finally, the number of active and inactive (ex. retirees) researchers of the IPEN, as well as, the number of authors who do not have employment contract with the IPEN. (author)

  20. Clinical research training of Peruvian neurologists: a baseline assessment

    Directory of Open Access Journals (Sweden)

    Joseph Raymond Zunt

    2010-06-01

    Full Text Available In Peru, despite a strong clinical research infrastructure in Lima, and Masters degree programs in epidemiology at three universities, few neurologists participate in clinical research. It was our objective to identify perceived needs and opportunities for increasing clinical research capacity and training opportunities for Peruvian neurologists. We conducted a descriptive, cross-sectional survey of Peruvian neurologists in Lima and Arequipa, Peru. Forty-eight neurologists completed written surveys and oral interviews. All neurologists reported interest in clinical research, but noted that lack of time and financial resources limited their ability to participate. Although most neurologists had received some training in epidemiology and research design as medical students or residents, the majority felt these topics were not adequately covered. Neurologists in Arequipa noted international funding for clinical research was uncommon outside the capital city of Lima. We concluded that clinical research is important to Peruvian neurologists. The three main barriers to increased participation in clinical research identified by neurologists were insufficient training in clinical research methodology, meager funding opportunities, and lack of dedicated time to participate in clinical research. Distance learning holds promise as a method for providing additional training in clinical research methodology, especially for neurologists who may have difficulty traveling to larger cities for additional training.

  1. environmental education teacher training: a particpatory research ...

    African Journals Online (AJOL)

    organisations. Such co - ope r at i ve ventures hold the key t o the emergence of guidelines allowing for the e sta bl i sh r.1en t of a non - racial structure of environmental education teacher training. It is proposed, therefore, to visit selected en vir onmenta l. e d u c a t i on p r o g r a r.11:: e s r u n by u n i v e r s i t i e s , colleges ...

  2. Summer Prostate Cancer Research Training Program

    Science.gov (United States)

    2017-09-01

    the research program by each mentor will certainly produce important research findings, aided in part by the summer research of the ...adenovirus vaccine in men with prostate cancer. Important in these trials is the safety of the vaccine and its ability to induce anti-tumor immunity... Living in Iowa City for the Summer Housing and Meals - All students will be housed in the Mayflower Residence Hall on the Campus of the University

  3. The research of "blind" spot in the LVQ network

    Science.gov (United States)

    Guo, Zhanjie; Nan, Shupo; Wang, Xiaoli

    2017-04-01

    Nowadays competitive neural network has been widely used in the pattern recognition, classification and other aspects, and show the great advantages compared with the traditional clustering methods. But the competitive neural networks still has inadequate in many aspects, and it needs to be further improved. Based on the learning Vector Quantization Network proposed by Learning Kohonen [1], this paper resolve the issue of the large training error, when there are "blind" spots in a network through the introduction of threshold value learning rules and finally programs the realization with Matlab.

  4. The Study of Maglev Train Control and Diagnosis Networks Based on Role Automation Decentralization

    Science.gov (United States)

    Liu, Zhigang; Wang, Qi; Tan, Yongdong

    The control and diagnosis networks in Maglev Train are the most important parts. In the paper, the control and diagnosis network structures are discussed, and the disadvantages of them are described and analyzed. In virtue of role automation decentralized system (RoADS), some basic ideas of RoADS are applied in new network. The structure, component parts and application of new network are proposed, designed and discussed in detail. The comparison results show that new network not only embodies some RoADS' ideas but also better meets the demands of control and diagnosis networks in Maglev Train.

  5. Research Training Program for College and University Students

    Science.gov (United States)

    EPA-ORD seeks applications from eligible entities to enter into cooperative agreements with EPA that will provide training opportunities for undergraduate and graduate students on-site at EPA-ORD research facilities located in Cincinnati, OH.

  6. Cooperative Training Partnership in Aquatic Toxicology and Ecosystem Research

    Science.gov (United States)

    EPA-ORD seeks applications to enter into a cooperative agreement with EPA that will provide training opportunities for undergraduate, graduate, and post-doctoral trainees on-site at ORD’s Mid-Continent Ecology Division (MED) research

  7. Federal Plan for Advanced Networking Research and Development

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — In the four decades since Federal research first enabled computers to send and receive data over networks, U.S. government research and development R and D in...

  8. Local Governance and ICT Research Network for Africa | Page 2 ...

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

    Local Governance and ICT Research Network for Africa (LOG-IN Africa) is an emergent pan-African network of researchers and research institutions from nine countries. LOG-IN Africa will assess the current state and outcome of electronic local governance initiatives in Africa, focusing on how information and ...

  9. The Security Research of Digital Library Network

    Science.gov (United States)

    Zhang, Xin; Song, Ding-Li; Yan, Shu

    Digital library is a self-development needs for the modern library to meet the development requirements of the times, changing the way services and so on. digital library from the hardware, technology, management and other aspects to objective analysis of the factors of threats to digital library network security. We should face up the problems of digital library network security: digital library network hardware are "not hard", the technology of digital library is relatively lag, digital library management system is imperfect and other problems; the government should take active measures to ensure that the library funding, to enhance the level of network hardware, to upgrade LAN and prevention technology, to improve network control technology, network monitoring technology; to strengthen safety management concepts, to prefect the safety management system; and to improve the level of security management modernization for digital library.

  10. Building up careers in translational neuroscience and mental health research: Education and training in the Centre for Biomedical Research in Mental Health.

    Science.gov (United States)

    Rapado-Castro, Marta; Pazos, Ángel; Fañanás, Lourdes; Bernardo, Miquel; Ayuso-Mateos, Jose Luis; Leza, Juan Carlos; Berrocoso, Esther; de Arriba, Jose; Roldán, Laura; Sanjuán, Julio; Pérez, Victor; Haro, Josep M; Palomo, Tomás; Valdizan, Elsa M; Micó, Juan Antonio; Sánchez, Manuel; Arango, Celso

    2015-01-01

    The number of large collaborative research networks in mental health is increasing. Training programs are an essential part of them. We critically review the specific implementation of a research training program in a translational Centre for Biomedical Research in Mental Health in order to inform the strategic integration of basic research into clinical practice to have a positive impact in the mental health system and society. Description of training activities, specific educational programs developed by the research network, and challenges on its implementation are examined. The Centre for Biomedical Research in Mental Health has focused on training through different activities which have led to the development of an interuniversity master's degree postgraduate program in mental health research, certified by the National Spanish Agency for Quality Evaluation and Accreditation. Consolidation of training programs within the Centre for Biomedical Research in Mental Health has considerably advanced the training of researchers to meet competency standards on research. The master's degree constitutes a unique opportunity to accomplish neuroscience and mental health research career-building within the official framework of university programs in Spain. Copyright © 2014 SEP y SEPB. Published by Elsevier España. All rights reserved.

  11. Training the New Generation of Polar Researchers

    Science.gov (United States)

    Drobot, S.; Weiler, C. S.

    2008-12-01

    The polar regions are changing rapidly, and many of the pressing problems faced in the future will require a new generation of polar researchers to be disciplinary experts and work across traditional disciplinary boundaries to conduct socially relevant, transformative research, and translate it to more effective action. To learn about the past and better address these new challenges, a select international group of 35 students and early career researchers who are conducting research during the 2007-2009 International Polar Year were brought together May 4-11, 2008, at the La Foret Conference Center for the New Generation Polar Research (NGPR) Symposium. The participants were drawn from professional backgrounds spanning the spectrum of social, natural, and physical sciences and represented the research programs of 7 countries. In addition to the participants, 12 mentors, some of whom participated in the IGY, shared insights, stories, and expertise. This diverse and ambitious group spent an intensive week learning about many important aspects of IPY history and research, along with communication, outreach, interdisciplinary research and career development. Each of the participants presented a 7-minute overview of his or her IPY research and provided details and discussion in evening poster sessions. Polar history provided an informative and unifying context for discussions of the past, present, and future that lasted throughout the week. Mentors and guest speakers shared insights and advice on media interactions, and many participants were subsequently interviewed for an upcoming radio story to be aired on National Public Radio. Several presentations on outreach were followed by a hands-on session for a group 1st grade students who were visiting the La Foret Conference Center. The Symposium also featured several break-out sessions, where small groups of participants and mentors discussed challenges related to interdisciplinary research, science advocacy, and

  12. Early Wheel Train Damage Detection Using Wireless Sensor Network Antenna

    Science.gov (United States)

    Fazilah, A. F. M.; Azemi, S. N.; Azremi, A. A. H.; Soh, P. J.; Kamarudin, L. M.

    2018-03-01

    Antenna for a wireless sensor network for early wheel trains damage detection has successfully developed and fabricated with the aim to minimize the risk and increase the safety guaranty for train. Current antenna design is suffered in gain and big in size. For the sensor, current existing sensor only detect when the wheel malfunction. Thus, a compact microstrip patch antenna with operating frequency at 2.45GHz is design with high gain of 4.95dB will attach to the wireless sensor device. Simulation result shows that the antenna is working at frequency 2.45GHz and the return loss at -34.46dB are in a good agreement. The result also shows the good radiation pattern and almost ideal VSWR which is 1.04. The Arduino Nano, LM35DZ and ESP8266-07 Wi-Fi module is applied to the core system with capability to sense the temperature and send the data wirelessly to the cloud. An android application has been created to monitor the temperature reading based on the real time basis. The mainly focuses for the future improvement is by minimize the size of the antenna in order to make in more compact. In addition, upgrade an android application that can collect the raw data from cloud and make an alarm system to alert the loco pilot.

  13. Research for Future Training Modeling and Simulation Strategies

    Science.gov (United States)

    2011-09-01

    Simulation (M&S) — 2010 Research,” for the Assistant Secretary of Defense for Research and Engineering, Systems Engineering, Director, Modeling and...http://ignoranceisfutile.wordpress.com/2008/10/15/darpa-backked- siri -nearing-launch-of-personal-artificial- intelligence/. 11 virtual assistant ...this TMSSP addresses: • Defense Training Environment (DTE) • Personal Learning Assistant (PLA), and • More agile business models for training. This

  14. Stylistics in Teacher Training: Research Programs and Future Prospects

    Science.gov (United States)

    Ventura, Ana Clara

    2016-01-01

    The aim of this research is to analyse and systematize the conceptual and empirical bases of the available literature on research approaches, objects of study, and future prospects in the field of stylistics, in order to encourage best practice in teacher training. Three research approaches are presented: the empiricist-behaviorist approach, the…

  15. Readings in Australian Vocational Education and Training Research.

    Science.gov (United States)

    Robinson, Chris, Ed.; Thomson, Peter, Ed.

    This volume synthesizes contemporary vocational education and training (VET) research reports and papers published in Australia in recent years. "An Overview of the Research and Evaluation Effort in VET" (Chris Robinson, Peter Thomson) introduces and discusses the 12 reviews of VET research literature. "Learning in the…

  16. Organisational and Technological Skills: The Overlooked Dimension of Research Training

    Science.gov (United States)

    Phelps, Renata; Fisher, Kath; Ellis, Allan

    2006-01-01

    Over the last three decades new technologies have emerged that have the capacity to considerably streamline the research and publication process and enhance the efficiency and effectiveness of research. This paper argues that to achieve high quality research training in the context of today's government and industry priorities, there must be a…

  17. Packaging Research Outputs into Extension and Training Materials ...

    African Journals Online (AJOL)

    As a result one primary objective of research to develop improved production systems and get the research results out to the user is not achieved. This paper describes the experiences and lessons learned in packaging research outputs into extension and training materials for use by extension workers and farmers under ...

  18. Augmentation Award for Surface Science Research Training

    National Research Council Canada - National Science Library

    Sibener, Steven

    1996-01-01

    This AASERT grant provided augmentation funds that helped support US citizen graduate student research in the area of surface science as it pertains to gas-surface reactions, collisional energy transfer...

  19. Quantitative Research Attitudes and Research Training Perceptions among Master's-Level Students

    Science.gov (United States)

    Steele, Janeé M.; Rawls, Glinda J.

    2015-01-01

    This study explored master's-level counseling students' (N = 804) perceptions of training in the Council for Accreditation of Counseling and Related Educational Programs (2009) Research and Program Evaluation standard, and their attitudes toward quantitative research. Training perceptions and quantitative research attitudes were low to moderate,…

  20. Communications Training Courses Across the Leopold Leadership Network

    Science.gov (United States)

    Hayden, T.; Gerber, L. R.; Silver, W. L.

    2012-12-01

    For nearly fifteen years, the Leopold Leadership Program has provided science communication training and support to mid-career academic environmental researchers from across North America. There has been an emphasis throughout on effective communication to non-scientific audiences. Increasingly, Leopold fellows have been developing communications courses for their own students, responding to the need for future scientists to be able to communicate well with the public, the media, policy makers and other audiences. At a June 2012 reunion meeting, a group of past fellows and communications trainers conducted a curriculum exchange, sharing experiences and ideas for successful inclusion of communications training in environmental science curricula. This presentation will present case studies from several institutions, including the use of podcasting, web columns, social media, in-person presentation and other presentation styles for connecting general audiences. We will share best practices, challenges and recommendations for curriculum development and institutional acceptance.

  1. CRM Assessment: Determining the Generalization of Rater Calibration Training. Summary of Research Report: Gold Standards Training

    Science.gov (United States)

    Baker, David P.

    2002-01-01

    The extent to which pilot instructors are trained to assess crew resource management (CRM) skills accurately during Line-Oriented Flight Training (LOFT) and Line Operational Evaluation (LOE) scenarios is critical. Pilot instructors must make accurate performance ratings to ensure that proper feedback is provided to flight crews and appropriate decisions are made regarding certification to fly the line. Furthermore, the Federal Aviation Administration's (FAA) Advanced Qualification Program (AQP) requires that instructors be trained explicitly to evaluate both technical and CRM performance (i.e., rater training) and also requires that proficiency and standardization of instructors be verified periodically. To address the critical need for effective pilot instructor training, the American Institutes for Research (AIR) reviewed the relevant research on rater training and, based on "best practices" from this research, developed a new strategy for training pilot instructors to assess crew performance. In addition, we explored new statistical techniques for assessing the effectiveness of pilot instructor training. The results of our research are briefly summarized below. This summary is followed by abstracts of articles and book chapters published under this grant.

  2. The Use of Underground Research Laboratories to Support Repository Development Programs. A Roadmap for the Underground Research Facilities Network.

    Energy Technology Data Exchange (ETDEWEB)

    MacKinnon, Robert J. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-10-26

    Under the auspices of the International Atomic Energy Agency (IAEA), nationally developed underground research laboratories (URLs) and associated research institutions are being offered for use by other nations. These facilities form an Underground Research Facilities (URF) Network for training in and demonstration of waste disposal technologies and the sharing of knowledge and experience related to geologic repository development, research, and engineering. In order to achieve its objectives, the URF Network regularly sponsors workshops and training events related to the knowledge base that is transferable between existing URL programs and to nations with an interest in developing a new URL. This report describes the role of URLs in the context of a general timeline for repository development. This description includes identification of key phases and activities that contribute to repository development as a repository program evolves from an early research and development phase to later phases such as construction, operations, and closure. This information is cast in the form of a matrix with the entries in this matrix forming the basis of the URF Network roadmap that will be used to identify and plan future workshops and training events.

  3. The Impact of Training on Women's Micro-Enterprise Development. Education Research Paper. Knowledge & Research.

    Science.gov (United States)

    Leach, Fiona; Abdulla, Salwa; Appleton, Helen; el-Bushra, Judy; Cardenas, Nora; Kebede, Kibre; Lewis, Viv; Sitaram, Shashikala

    A study investigated the impact of training on women's micro-enterprise development in four programs in Ethiopia, India, Peru, and Sudan. Research design was a series of case studies of projects and programs providing training in technical or business skills. Impact of training was measured against these four indicators: income, access to and…

  4. TRAINING POLICY OF MILITANTS MST: RESEARCH REPORTS

    Directory of Open Access Journals (Sweden)

    Suely Aparecida Martin

    2012-06-01

    Full Text Available : This article analyzes the experience of political education of MST, based on research results, held in Paraná. Tries to demonstrate how the different experiences provided by this movement to provide political formation of its members. The text is organized into three parts: the first presents the experience category develop by Edward Palmer Thompson, used as reference for analysis, the second presents a brief history of political formation in the context of MST, and highlights the latest research results. The research were conducted between 2006 and 2008, had a qualitative character. In addition to literature review , there was the reading of documents produced by the movement and interviews with members of the MST.

  5. Teamwork, Soft Skills, and Research Training.

    Science.gov (United States)

    Gibert, Anaïs; Tozer, Wade C; Westoby, Mark

    2017-02-01

    We provide a list of soft skills that are important for collaboration and teamwork, based on our own experience and from an opinion survey of team leaders. Each skill can be learned to some extent. We also outline workable short courses for graduate schools to strengthen teamwork and collaboration skills among research students. Copyright © 2016 Elsevier Ltd. All rights reserved.

  6. Impedance-Based Harmonic Instability Assessment in Multiple Electric Trains and Traction Network Interaction System

    DEFF Research Database (Denmark)

    Tao, Haidong; Hu, Haitao; Wang, Xiongfei

    2018-01-01

    interconnection of the two subsystems, i.e., an equivalent output impedance of the traction network and an equivalent input admittance of the multi-train. Then the harmonic instability is evaluated through a series of pole-zero diagrams drawn from the closed loop transfer matrix of the multi-train and traction......This paper presents an impedance-based method to systematically investigate the interaction between multi-train and traction networks, focusing on evaluating the harmonic instability problems. Firstly, the interaction mechanism of multi-train and the traction network is represented as a feedback...

  7. Impact of fellowship training on research productivity in academic otolaryngology.

    Science.gov (United States)

    Eloy, Jean Anderson; Svider, Peter F; Mauro, Kevin M; Setzen, Michael; Baredes, Soly

    2012-12-01

    Assessment of scholarly productivity as measured by research output is a key component of decisions regarding appointment and advancement in academic otolaryngology. An increasing number of graduating residents are pursuing postresidency fellowships, and evaluation of research productivity among these subspecialists is important in determining their role in academic otolaryngology departments. The h-index is a reliable indicator of research productivity, as it takes into account both quantity and relevance of research contributions. Our objective was to evaluate and compare trends in research productivity among the various otolaryngology subspecialties. Analysis of research productivity trends among otolaryngology subspecialties using the h-index. Faculty members from 92 academic otolaryngology departments were organized by subspecialty and academic rank, and their research productivity, as measured by the h-index, was calculated using the Scopus database. Fellowship-trained otolaryngologists in academic programs had higher h-indices than non-fellowship-trained otolaryngologists. Head and neck surgeons and otologists had significantly higher research productivity than their peers in other otolaryngology subspecialties. Analysis of the subspecialties of chairpersons indicated that 62% were either head and neck surgeons or otologists. Fellowship-trained otolaryngologists had higher h-indices, and faculty members trained in the subspecialties with the highest research productivity were disproportionately represented in positions of leadership within academic otolaryngology, probably reflecting the importance of research contributions in the academic advancement process, although other factors, such as educational contributions and clinical performance, may also be important factors. Copyright © 2012 The American Laryngological, Rhinological, and Otological Society, Inc.

  8. Grant opportunities for academic research and training

    Science.gov (United States)

    ,

    2016-08-30

    As an unbiased, multidisciplinary science organization, the U.S. Geological Survey (USGS) is dedicated to the timely, relevant, and impartial study of the health of our ecosystems and environment, our natural resources, the impacts of climate and land-use change, and the natural hazards that affect our lives. Grant opportunities for researchers and faculty to participate in USGS science through the engagement of students are available in the selected programs described in this publication.

  9. Interdisciplinary Research Training in Breast Cancer

    Science.gov (United States)

    2005-07-01

    O’Sullivan’s background in surgical nursing has been valuable in facilitating improvements related to wound healing and infection after ovarian cancer surgery...Scientific Sessions of the Eastern Nursing Research Society, Boston, MA. Presentations "* Presenter, "Reiki for Self- Healing ," New Beginnings... Alzheimers Care Quarterly. (in press) "* Cherlin, E., Johnson-Hurzeler, R., Fried, T., Prigerson, H., Schulman-Green, D., Bradley, E.H. Communication between

  10. Building Research Collaboration Networks--An Interpersonal Perspective for Research Capacity Building

    Science.gov (United States)

    Huang, Jun Song

    2014-01-01

    While collaboration is increasingly recognized to be important for research, researchers' collaboration networks are still not adequately recognized as a form of research capacity in the literature. Research is a knowledge creation activity and interpersonal research collaboration networks are important for knowledge cross-fertilization and…

  11. Doctoral integrity training and the brave new researcher

    DEFF Research Database (Denmark)

    Sarauw, Laura Louise; Degn, Lise; Ørberg, Jakob Williams

    2018-01-01

    Research integrity has become a major concern for both higher education institutions and research policy makers in the recent decades, and since 2000 there has been an explosive boom of national and international codes and agreements on ‘responsible conduct of research’ and ’research integrity......’ (Wright and Douglas-Jones 2017). Many of these codes and agreements emphasize the institutional responsibility for training younger researchers in responsible conduct of research, and compulsory doctoral training has come to play a vital strategical role in the maintenance and marketization...... of the trustworthiness of research. This paper examines in ethnographic detail the development of compulsory courses in research integrity across four Danish university faculties with respect to the ways in which specific figures of the ‘trustworthy and ethical’ researcher and their scandalous counterparts...

  12. An STDP training algorithm for a spiking neural network with dynamic threshold neurons.

    Science.gov (United States)

    Strain, T J; McDaid, L J; McGinnity, T M; Maguire, L P; Sayers, H M

    2010-12-01

    This paper proposes a supervised training algorithm for Spiking Neural Networks (SNNs) which modifies the Spike Timing Dependent Plasticity (STDP)learning rule to support both local and network level training with multiple synaptic connections and axonal delays. The training algorithm applies the rule to two and three layer SNNs, and is benchmarked using the Iris and Wisconsin Breast Cancer (WBC) data sets. The effectiveness of hidden layer dynamic threshold neurons is also investigated and results are presented.

  13. A neural network driving curve generation method for the heavy-haul train

    OpenAIRE

    Youneng Huang; Litian Tan; Lei Chen; Tao Tang

    2016-01-01

    The heavy-haul train has a series of characteristics, such as the locomotive traction properties, the longer length of train, and the nonlinear train pipe pressure during train braking. When the train is running on a continuous long and steep downgrade railway line, the safety of the train is ensured by cycle braking, which puts high demands on the driving skills of the driver. In this article, a driving curve generation method for the heavy-haul train based on a neural network is proposed. F...

  14. Computer Network Equipment for Intrusion Detection Research

    National Research Council Canada - National Science Library

    Ye, Nong

    2000-01-01

    .... To test the process model, the system-level intrusion detection techniques and the working prototype of the intrusion detection system, a set of computer and network equipment has been purchased...

  15. Development of Safety Review Guidance for Research and Training Reactors

    International Nuclear Information System (INIS)

    Oh, Kju-Myeng; Shin, Dae-Soo; Ahn, Sang-Kyu; Lee, Hoon-Joo

    2007-01-01

    The KINS already issued the safety review guidance for pressurized LWRs. But the safety review guidance for research and training reactors were not developed. So, the technical standard including safety review guidance for domestic research and training reactors has been applied mutates mutandis to those of nuclear power plants. It is often difficult for the staff to effectively perform the safety review of applications for the permit by the licensee, based on peculiar safety review guidance. The NRC and NSC provide the safety review guidance for test and research reactors and European countries refer to IAEA safety requirements and guides. The safety review guide (SRG) of research and training reactors was developed considering descriptions of the NUREG- 1537 Part 2, previous experiences of safety review and domestic regulations for related facilities. This study provided the safety review guidance for research and training reactors and surveyed the difference of major acceptance criteria or characteristics between the SRG of pressurized light water reactor and research and training reactors

  16. Europe agrees to boost Internet networks used by researchers

    CERN Multimedia

    Butler, D

    2000-01-01

    The member states of the EU have approved an 80 million Euro upgrade of Europe's research Internet networks. The move will ensure the necessary infrastructure for work to begin on the concept of an advanced research computing 'grid' (1 page).

  17. New Visions for Large Scale Networks: Research and Applications

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — This paper documents the findings of the March 12-14, 2001 Workshop on New Visions for Large-Scale Networks: Research and Applications. The workshops objectives were...

  18. How Might Better Network Theories Support School Leadership Research?

    Science.gov (United States)

    Hadfield, Mark; Jopling, Michael

    2012-01-01

    This article explores how recent research in education has applied different aspects of "network" theory to the study of school leadership. Constructs from different network theories are often used because of their perceived potential to clarify two perennial issues in leadership research. The first is the relative importance of formal and…

  19. West and Central African Research and Education Networking ...

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

    This grant will allow the Research and Education Networking Unit of the Association of African Universities (AAU) to take the necessary steps to establish a research and education network for West and Central Africa (WACREN). This will include undertaking feasibility studies, developing a strategic plan, adopting a legal ...

  20. Internal-state analysis in layered artificial neural network trained to categorize lung sounds

    NARCIS (Netherlands)

    Oud, M

    2002-01-01

    In regular use of artificial neural networks, only input and output states of the network are known to the user. Weight and bias values can be extracted but are difficult to interpret. We analyzed internal states of networks trained to map asthmatic lung sound spectra onto lung function parameters.

  1. Practical Qualitative Research Strategies: Training Interviewers and Coders.

    Science.gov (United States)

    Goodell, L Suzanne; Stage, Virginia C; Cooke, Natalie K

    2016-09-01

    The increased emphasis on incorporating qualitative methodologies into nutrition education development and evaluation underscores the importance of using rigorous protocols to enhance the trustworthiness of the findings. A 5-phase protocol for training qualitative research assistants (data collectors and coders) was developed as an approach to increase the consistency of the data produced. This training provides exposure to the core principles of qualitative research and then asks the research assistant to apply those principles through practice in a setting structured on critical reflection. Copyright © 2016 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

  2. Subject Didactic Studies of Research Training in Biology and Physics.

    Science.gov (United States)

    Lybeck, Leif

    1984-01-01

    The objectives and design of a 3-year study of research training and supervision in biology and physics are discussed. Scientific problems arising from work on the thesis will be a focus for the postgraduate students and their supervisors. Attention will be focused on supervisors' and students' conceptions of science, subject range, research,…

  3. Web-Based Research Ethics Training for Gerontologists

    Science.gov (United States)

    Scialfa, Charles T.; Lyndon, Jaci

    2008-01-01

    As part of a Canadian Institutes for Health Research (CIHR)-funded Strategic Training Grant, we have developed and delivered a brief course in research ethics directed toward postgraduate students in experimental gerontology. In this paper, we report on the initial offering, its content and delivery, and student reactions to the course. We…

  4. The selection and training of fieldworkers in educational research: a ...

    African Journals Online (AJOL)

    In this qualitative study we investigated how fieldworkers in educational research were selected and trained, using questionnaires and individual interviews to gather data from ... The principal researchers collected all the data, which were analysed according to themes and patterns using the constant comparative method.

  5. Child Welfare Research and Training: A Response to David Stoesz

    Science.gov (United States)

    Smith, Brenda D.; Vandiver, Vikki L.

    2016-01-01

    In this response to David Stoesz' critique, "The Child Welfare Cartel," the authors agree that child welfare research and training must be improved. The authors disagree, however, with Stoesz' critique of social work education, his assessment of the most-needed forms of child welfare research, and his depiction of the goals and…

  6. Supporting Scientific Research with the Energy Sciences Network

    CERN Multimedia

    CERN. Geneva; Monga, Inder

    2016-01-01

    The Energy Sciences Network (ESnet) is a high-performance, unclassified national network built to support scientific research. Funded by the U.S. Department of Energy’s Office of Science (SC) and managed by Lawrence Berkeley National Laboratory, ESnet provides services to more than 40 DOE research sites, including the entire National Laboratory system, its supercomputing facilities, and its major scientific instruments. ESnet also connects to 140 research and commercial networks, permitting DOE-funded scientists to productively collaborate with partners around the world. ESnet Division Director (Interim) Inder Monga and ESnet Networking Engineer David Mitchell will present current ESnet projects and research activities which help support the HEP community. ESnet  helps support the CERN community by providing 100Gbps trans-Atlantic network transport for the LHCONE and LHCOPN services. ESnet is also actively engaged in researching connectivity to cloud computing resources for HEP workflows a...

  7. Research on centrality of urban transport network nodes

    Science.gov (United States)

    Wang, Kui; Fu, Xiufen

    2017-05-01

    Based on the actual data of urban transport in Guangzhou, 19,150 bus stations in Guangzhou (as of 2014) are selected as nodes. Based on the theory of complex network, the network model of Guangzhou urban transport is constructed. By analyzing the degree centrality index, betweenness centrality index and closeness centrality index of nodes in the network, the level of centrality of each node in the network is studied. From a different point of view to determine the hub node of Guangzhou urban transport network, corresponding to the city's key sites and major transfer sites. The reliability of the network is determined by the stability of some key nodes (transport hub station). The research of network node centralization can provide a theoretical basis for the rational allocation of urban transport network sites and public transport system planning.

  8. Postgraduate research training: the PhD and MD thesis.

    Science.gov (United States)

    Higginson, I; Corner, J

    1996-04-01

    Higher research degrees, such as the PhD, MPhil and MD, have existed within universities for 80 years or more, although the differences between the MD and PhD remain confused. A higher research degree training provides individuals with greater research knowledge and skills, and benefits the specialty. Concern exists about the levels of supervision sometimes provided, failure to complete degrees, and the variable levels of research knowledge and skills attained. We propose that higher research degrees in palliative care have four functions: extending personal scholarship, generating knowledge, training for the individual and contributing to the growth of the specialty. Such an approach may include: a formalised first year with taught components such as in research MSc programmes, formal supervision and progress assessment. In palliative care, clinical and academic approaches need greater integration. Multiprofessional learning is essential. To allow individuals to undertake higher research degree programmes, fellowships or specific funding are needed.

  9. Stepping up Open Science Training for European Research

    Directory of Open Access Journals (Sweden)

    Birgit Schmidt

    2016-06-01

    Full Text Available Open science refers to all things open in research and scholarly communication: from publications and research data to code, models and methods as well as quality evaluation based on open peer review. However, getting started with implementing open science might not be as straightforward for all stakeholders. For example, what do research funders expect in terms of open access to publications and/or research data? Where and how to publish research data? How to ensure that research results are reproducible? These are all legitimate questions and, in particular, early career researchers may benefit from additional guidance and training. In this paper we review the activities of the European-funded FOSTER project which organized and supported a wide range of targeted trainings for open science, based on face-to-face events and on a growing suite of e-learning courses. This article reviews the approach and experiences gained from the first two years of the project.

  10. Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach

    NARCIS (Netherlands)

    Reinhardt, Wolfgang; Wilke, Adrian; Moi, Matthias; Drachsler, Hendrik; Sloep, Peter

    2012-01-01

    Reinhardt, W., Wilke, A., Moi, M., Drachsler, H., & Sloep, P. B. (2012). Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach. In A. Abraham (Ed.), Computational Social Networks. Mining and Visualization (pp. 233-268). Springer. Also available at

  11. Cognitive radio wireless sensor networks: applications, challenges and research trends.

    Science.gov (United States)

    Joshi, Gyanendra Prasad; Nam, Seung Yeob; Kim, Sung Won

    2013-08-22

    A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. This paper describes the advantages of cognitive radio wireless sensor networks, the difference between ad hoc cognitive radio networks, wireless sensor networks, and cognitive radio wireless sensor networks, potential application areas of cognitive radio wireless sensor networks, challenges and research trend in cognitive radio wireless sensor networks. The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required QoS. Finally, this paper lists several open research challenges aimed at drawing the attention of the readers toward the important issues that need to be addressed before the vision of completely autonomous cognitive radio wireless sensor networks can be realized.

  12. Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

    Directory of Open Access Journals (Sweden)

    Gyanendra Prasad Joshi

    2013-08-01

    Full Text Available A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. This paper describes the advantages of cognitive radio wireless sensor networks, the difference between ad hoc cognitive radio networks, wireless sensor networks, and cognitive radio wireless sensor networks, potential application areas of cognitive radio wireless sensor networks, challenges and research trend in cognitive radio wireless sensor networks. The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required QoS. Finally, this paper lists several open research challenges aimed at drawing the attention of the readers toward the important issues that need to be addressed before the vision of completely autonomous cognitive radio wireless sensor networks can be realized.

  13. [How to do Research? Development and Evaluation of a Research Training for Patients with Mental Disorders].

    Science.gov (United States)

    Brütt, Anna Levke; Bernges, Tabea; Magaard, Julia; Sielaff, Gyöngyvér

    2017-03-01

    Objective Participation of mental health services users in research is increasingly acknowledged in Germany. Principles for successful involvement include research training for service users. The aims of the project were (1) to develop and (2) to evaluate a research training. Methods The research training was developed in five participatory meetings and piloted with 28 participants. They answered questions on the research training and about their interest in research, research-related empowerment and research participation. Results Interest in research did not change. But there is a difference between research-related empowerment before (t1) and after (t2) the research training ( z  = - 2.237; p  = 0.025). The number of participants registered in scientific studies increased from 4 (t1) to 8 three months later (t3) whereas the number of participants reporting own research ideas decreased from 7 (t1) to 5 (t3). Conclusion Although interest has not been affected, the evaluation shows significant effects on research-related empowerment in participants. Results concerning transfer are divergent. However, feedback was positive. We are planning to disseminate and refine the training. © Georg Thieme Verlag KG Stuttgart · New York.

  14. Summer research training for medical students: impact on research self-efficacy.

    Science.gov (United States)

    Black, Michelle L; Curran, Maureen C; Golshan, Shahrokh; Daly, Rebecca; Depp, Colin; Kelly, Carolyn; Jeste, Dilip V

    2013-12-01

    There is a well-documented shortage of physician researchers, and numerous training programs have been launched to facilitate development of new physician scientists. Short-term research training programs are the most practical form of research exposure for most medical students, and the summer between their first and second years of medical school is generally the longest period they can devote solely to research. The goal of short-term training programs is to whet the students' appetite for research and spark their interest in the field. Relatively little research has been done to test the effectiveness of short-term research training programs. In an effort to examine short-term effects of three different NIH-funded summer research training programs for medical students, we assessed the trainees' (N = 75) research self-efficacy prior to and after the programs using an 11-item scale. These hands-on training programs combined experiential, didactic, and mentoring elements. The students demonstrated a significant increase in their self-efficacy for research. Trainees' gender, ranking of their school, type of research, and specific content of research project did not predict improvement. Effect sizes for different types of items on the scale varied, with the largest gain seen in research methodology and communication of study findings. © 2013 Wiley Periodicals, Inc.

  15. Excellence in Radiation Research for the 21st Century (EIRR21): Description of an Innovative Research Training Program

    International Nuclear Information System (INIS)

    P'ng, Christine; Ito, Emma; How, Christine; Bezjak, Andrea; Bristow, Rob; Catton, Pam; Fyles, Anthony; Gospodarowicz, Mary; Jaffray, David; Kelley, Shana; Wong Shun; Liu Feifei

    2012-01-01

    Purpose: To describe and assess an interdisciplinary research training program for graduate students, postdoctoral fellows, and clinical fellows focused on radiation medicine; funded by the Canadian Institutes for Health Research since 2003, the program entitled “Excellence in Radiation Research for the 21st Century” (EIRR21) aims to train the next generation of interdisciplinary radiation medicine researchers. Methods and Materials: Online surveys evaluating EIRR21 were sent to trainees (n=56), mentors (n=36), and seminar speakers (n=72). Face-to-face interviews were also conducted for trainee liaisons (n=4) and participants in the international exchange program (n=2). Results: Overall response rates ranged from 53% (mentors) to 91% (trainees). EIRR21 was well received by trainees, with the acquisition of several important skills related to their research endeavors. An innovative seminar series, entitled Brainstorm sessions, imparting “extracurricular” knowledge in intellectual property protection, commercialization strategies, and effective communication, was considered to be the most valuable component of the program. Networking with researchers in other disciplines was also facilitated owing to program participation. Conclusions: EIRR21 is an innovative training program that positively impacts the biomedical community and imparts valuable skill sets to foster success for the future generation of radiation medicine researchers.

  16. Ocean Research - Perspectives from an international Ocean Research Coordination Network

    Science.gov (United States)

    Pearlman, Jay; Williams, Albert, III

    2013-04-01

    The need for improved coordination in ocean observations is more urgent now given the issues of climate change, sustainable food sources and increased need for energy. Ocean researchers must work across disciplines to provide policy makers with clear and understandable assessments of the state of the ocean. With advances in technology, not only in observation, but also communication and computer science, we are in a new era where we can answer questions asked over the last 100 years at the time and space scales that are relevant. Programs like GLOBEC moved us forward but we are still challenged by the disciplinary divide. Interdisciplinary problem solving must be addressed not only by the exchange of data between the many sides, but through levels where questions require day-to-day collaboration. A National Science Foundation-funded Research Coordination Network (RCN) is addressing approaches for improving interdisciplinary research capabilities in the ocean sciences. During the last year, the RCN had a working group for Open Data led by John Orcutt, Peter Pissierssens and Albert Williams III. The teams has focused on three areas: 1. Data and Information formats and standards; 2. Data access models (including IPR, business models for open data, data policies,...); 3. Data publishing, data citation. There has been a significant trend toward free and open access to data in the last few years. In 2007, the US announced that Landsat data would be available at no charge. Float data from the US (NDBC), JCOMM and OceanSites offer web-based access. The IODE is developing its Ocean Data Portal giving immediate and free access to ocean data. However, from the aspect of long-term collaborations across communities, this global trend is less robust than might appear at the surface. While there are many standard data formats for data exchange, there is not yet widespread uniformity in their adoption. Use of standard data formats can be encouraged in several ways: sponsors of

  17. The training and research reactor of the Zittau Technical College

    International Nuclear Information System (INIS)

    Ackermann, G.; Hampel, R.; Konschak, K.

    1979-01-01

    The light-water moderated training and research reactor of the Zittau Technical College, which has been put into operation 1 July 1979, is described. Having a power of 10 MW, it is provided for education of students and advanced training of nuclear power plant staff members. High inherent nuclear safety and economy of operation are achieved by appropriate design of the reactor core and the use of fresh fuel elements provided for the 10-MW research reactor at the Rossendorf Central Institute for Nucleear Research for one year on a loan basis. Further characteristics of the reactor are easy accessibility of the core interior for in-core studies, sufficient external experimental channels, and a control and protection system meeting the requirements of teaching operation. The installed technological and dosimetric devices not only ensure reliable operation of the reactor, but also extend the potentialities of experimental work and education that is reported in detail. The principles on which the training programs are based are explained in the light of some examples. The training reactor is assumed to serve for providing basic knowledge about processes in nuclear power stations with pressurized water reactors. Where the behaviour of a nuclear power station cannot sufficiently be demonstrated by the training reactor, a reasonable completion of practical training at special simulation models and experimental facilities of the Technical College and at the nuclear power plant simulator of the Rheinsberg nuclear power plant school has been conceived. (author)

  18. Training Impact on Novice and Experienced Research Coordinators.

    Science.gov (United States)

    Behar-Horenstein, Linda S; Potter, JoNell Efantis; Prikhidko, Alena; Swords, Stephanie; Sonstein, Stephen; Kolb, H Robert

    2017-12-01

    Competency-based training and professional development is critical to the clinical research enterprise. Understanding research coordinators' perspectives is important for establishing a common core curriculum. The purpose of this study was to describe participants' perspectives regarding the impact of online and classroom training sessions. 27 participants among three institutions, completed a two-day classroom training session. 10 novice and seven experienced research coordinators participated in focus group interviews. Grounded theory revealed similarities in novice and experienced coordinator themes including Identifying Preferences for Instruction and Changing Self Perceptions. Differences, seen in experienced participants, focused on personal change, in the theme of Re-Assessing Skills. Infrastructure and cultural issues were evident in their theme, Promoting Leadership and Advocacy. Novice participants recommended ways to improve training via their theme of Making Programmatic Improvements. Participants reported a clear preference for classroom learning. Training played an influential role in changing participants' self-perceptions by validating their experiences. The findings provided guidance for developing a standardized curriculum. Training must be carefully tailored to the needs of participants while considering audience needs based on work experience, how technology can be used and offering content that is most urgently needed.

  19. Does formal research training lead to academic success in otolaryngology?

    Science.gov (United States)

    Bobian, Michael R; Shah, Noor; Svider, Peter F; Hong, Robert S; Shkoukani, Mahdi A; Folbe, Adam J; Eloy, Jean Anderson

    2017-01-01

    To evaluate whether formalized research training is associated with higher researcher productivity, academic rank, and acquisition of National Institutes of Health (NIH) grants within academic otolaryngology departments. Each of the 100 civilian otolaryngology program's departmental websites were analyzed to obtain a comprehensive list of faculty members credentials and characteristics, including academic rank, completion of a clinical fellowship, completion of a formal research fellowship, and attainment of a doctorate in philosophy (PhD) degree. We also recorded measures of scholarly impact and successful acquisition of NIH funding. A total of 1,495 academic physicians were included in our study. Of these, 14.1% had formal research training. Bivariate associations showed that formal research training was associated with a greater h-index, increased probability of acquiring NIH funding, and higher academic rank. Using a linear regression model, we found that otolaryngologists possessing a PhD had an associated h-index of 1.8 points higher, and those who completed a formal research fellowship had an h-index of 1.6 points higher. A PhD degree or completion of a research fellowship was not associated with a higher academic rank; however, a higher h-index and previous acquisition of an NIH grant were associated with a higher academic rank. The attainment of NIH funding was three times more likely for those with a formal research fellowship and 8.6 times more likely for otolaryngologists with a PhD degree. Formalized research training is associated with academic success in otolaryngology. Such dedicated research training accompanies greater scholarly impact, acquisition of NIH funding, and a higher academic rank. NA Laryngoscope, 127:E15-E21, 2017. © 2016 The American Laryngological, Rhinological and Otological Society, Inc.

  20. An evaluation of a data linkage training workshop for research ethics committees.

    Science.gov (United States)

    Tan, Kate M; Flack, Felicity S; Bear, Natasha L; Allen, Judy A

    2015-03-04

    In Australia research projects proposing the use of linked data require approval by a Human Research Ethics Committee (HREC). A sound evaluation of the ethical issues involved requires understanding of the basic mechanics of data linkage, the associated benefits and risks, and the legal context in which it occurs. The rapidly increasing number of research projects utilising linked data in Australia has led to an urgent need for enhanced capacity of HRECs to review research applications involving this emerging research methodology. The training described in this article was designed to respond to an identified need among the data linkage units in the Australian Population Health Research Network (PHRN) and HREC members in Australia. Five one-day face to face workshops were delivered in the study period to a total of 98 participants. Participants in the workshops represented all six categories of HREC membership composition listed in the National Health and Medical Research Centres' (NHMRC) National Statement on Ethical Conduct in Human Research. Participants were assessed at three time points, prior to the training (T1), immediately after the training (T2) and 8 to 17 months after the training (T3). Ninety participants completed the pre and post questionnaires; 58 of them completed the deferred questionnaire. Participants reported significant improvements in levels of knowledge, understanding and skills in each of the eight areas evaluated. The training was beneficial for those with prior experience in the area of ethics and data linkage as well as those with no prior exposure. Our preliminary work in this area demonstrates that the provision of intensive face to face ethics training in data linkage is feasible and has a significant impact on participant's confidence in reviewing HREC applications.

  1. Impact of fellowship training on research productivity in academic ophthalmology.

    Science.gov (United States)

    Huang, Grace; Fang, Christina H; Lopez, Santiago A; Bhagat, Neelakshi; Langer, Paul D; Eloy, Jean Anderson

    2015-01-01

    To assess whether scholarly impact of academic ophthalmologists, as measured using the h-index, is affected by fellowship training status and to further characterize differences in productivity among the various subspecialties and by departmental rank. A descriptive and correlational design was used. In total, 1440 academic ophthalmologists from 99 ophthalmology training programs were analyzed. The h-index data were obtained from the Scopus database. Faculty members were classified by academic rank and grouped into 10 categories based on fellowship training: anterior segment, corneal and external disease, glaucoma, uveitis and ocular immunology, vitreoretinal disease, ophthalmic plastic surgery, pediatric ophthalmology, neuro-ophthalmology, ophthalmic pathology, and "other." A one-way analysis of variance or Student t test using Microsoft Excel and "R" statistical software were used for comparison of continuous variables, with significance set at p academic ophthalmology residency training programs in the United States whose information is stored in the American Medical Association's Fellowship and Residency Electronic Interactive Database. Fellowship-trained ophthalmologists had significantly higher research productivity, as measured using the h-index, than non-fellowship-trained ophthalmologists in this study (p Academic ophthalmologists trained in vitreoretinal disease or ophthalmic pathology had the highest scholarly productivity compared with those in other ophthalmology subspecialties (p academic rank from Assistant Professor to Professor (p Academic ophthalmologists with fellowship training have significantly higher scholarly output than non-fellowship-trained ophthalmologists do, as measured using the h-index. Research productivity increases with departmental academic rank from Assistant Professor to Professor. Copyright © 2015 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  2. Training Data Requirement for a Neural Network to Predict Aerodynamic Coefficients

    Science.gov (United States)

    Korsmeyer, David (Technical Monitor); Rajkumar, T.; Bardina, Jorge

    2003-01-01

    Basic aerodynamic coefficients are modeled as functions of angle of attack, speed brake deflection angle, Mach number, and side slip angle. Most of the aerodynamic parameters can be well-fitted using polynomial functions. We previously demonstrated that a neural network is a fast, reliable way of predicting aerodynamic coefficients. We encountered few under fitted and/or over fitted results during prediction. The training data for the neural network are derived from wind tunnel test measurements and numerical simulations. The basic questions that arise are: how many training data points are required to produce an efficient neural network prediction, and which type of transfer functions should be used between the input-hidden layer and hidden-output layer. In this paper, a comparative study of the efficiency of neural network prediction based on different transfer functions and training dataset sizes is presented. The results of the neural network prediction reflect the sensitivity of the architecture, transfer functions, and training dataset size.

  3. GENNET-Toolbox: An Evolving Genetic Algorithm for Neural Network Training

    Science.gov (United States)

    Gómez-Garay, Vicente; Irigoyen, Eloy; Artaza, Fernando

    Genetic Algorithms have been used from 1989 for both Neural Network training and design. Nevertheless, the use of a Genetic Algorithm for adjusting the Neural Network parameters can still be engaging. This work presents the study and validation of a different approach to this matter by introducing a Genetic Algorithm designed for Neural Network training. This algorithm features a mutation operator capable of working on three levels (network, neuron and layer) and with the mutation parameters encoded and evolving within each individual. We also explore the use of three types of hybridization: post-training, Lamarckian and Baldwinian. These proposes in combination with the algorithm, show for a fast and powerful tool for Neural Network training.

  4. A generalized LSTM-like training algorithm for second-order recurrent neural networks.

    Science.gov (United States)

    Monner, Derek; Reggia, James A

    2012-01-01

    The long short term memory (LSTM) is a second-order recurrent neural network architecture that excels at storing sequential short-term memories and retrieving them many time-steps later. LSTM's original training algorithm provides the important properties of spatial and temporal locality, which are missing from other training approaches, at the cost of limiting its applicability to a small set of network architectures. Here we introduce the generalized long short-term memory(LSTM-g) training algorithm, which provides LSTM-like locality while being applicable without modification to a much wider range of second-order network architectures. With LSTM-g, all units have an identical set of operating instructions for both activation and learning, subject only to the configuration of their local environment in the network; this is in contrast to the original LSTM training algorithm, where each type of unit has its own activation and training instructions. When applied to LSTM architectures with peephole connections, LSTM-g takes advantage of an additional source of back-propagated error which can enable better performance than the original algorithm. Enabled by the broad architectural applicability of LSTM-g, we demonstrate that training recurrent networks engineered for specific tasks can produce better results than single-layer networks. We conclude that LSTM-g has the potential to both improve the performance and broaden the applicability of spatially and temporally local gradient-based training algorithms for recurrent neural networks. Copyright © 2011 Elsevier Ltd. All rights reserved.

  5. [Co-authorship research networks in public health in Santander].

    Science.gov (United States)

    Naranjo-Estupiñán, Néstor F; Mora, Query J; Jaimes-Vega, Diana; Idrovo, Álvaro J

    2014-01-01

    Although a good deal of research in public health has been performed, large inequalities still exist in health. It is necessary to know how knowledge is generated and disseminated to the public in order for research to reach decision-makers. To characterize public health research networks in Santander, Colombia. Analysis of social networks based on co-authorship of scientific publications by researchers living in Santander in 2012. Researchers were identified using a "snowball" technique. The publications search was conducted using national and international databases. The density and average geodesic distance of networks were calculated, as was the size, pairs, brokers and homophily of egocentric networks. There were 531 researchers. Most worked in epidemiology (77.59%), and in more than one thematic field. The network density was 0.0058 and the average geodesic distance was 4.418. Several indicators suggested that the most cohesive egocentric networks were those in which researches investigated more than in one knowledge area or in epidemiology. Homophily was lower for health systems, biostatistics and social and behavioral sciences, as well as private hospitals and the public university. The network structure suggests a growth phase in research and a predominance of epidemiology. Other public health areas need strengthening so as to better address the health needs of the state.

  6. The prevention research centers' managing epilepsy well network.

    Science.gov (United States)

    DiIorio, Colleen K; Bamps, Yvan A; Edwards, Ariele L; Escoffery, Cam; Thompson, Nancy J; Begley, Charles E; Shegog, Ross; Clark, Noreen M; Selwa, Linda; Stoll, Shelley C; Fraser, Robert T; Ciechanowski, Paul; Johnson, Erica K; Kobau, Rosemarie; Price, Patricia H

    2010-11-01

    The Managing Epilepsy Well (MEW) Network was created in 2007 by the Centers for Disease Control and Prevention's (CDC) Prevention Research Centers and Epilepsy Program to promote epilepsy self-management research and to improve the quality of life for people with epilepsy. MEW Network membership comprises four collaborating centers (Emory University, University of Texas Health Science Center at Houston, University of Michigan, and University of Washington), representatives from CDC, affiliate members, and community stakeholders. This article describes the MEW Network's background, mission statement, research agenda, and structure. Exploratory and intervention studies conducted by individual collaborating centers are described, as are Network collaborative projects, including a multisite depression prevention intervention and the development of a standard measure of epilepsy self-management. Communication strategies and examples of research translation programs are discussed. The conclusion outlines the Network's role in the future development and dissemination of evidence-based epilepsy self-management programs. Copyright © 2010 Elsevier Inc. All rights reserved.

  7. Clinical research training of Peruvian neurologists: a baseline assessment

    OpenAIRE

    Joseph Raymond Zunt; Alberto Díaz-Vásquez; Silvia Margarita Montano-Torres; Gian Carlos Navarro-Chumbes

    2010-01-01

    In Peru, despite a strong clinical research infrastructure in Lima, and Masters degree programs in epidemiology at three universities, few neurologists participate in clinical research. It was our objective to identify perceived needs and opportunities for increasing clinical research capacity and training opportunities for Peruvian neurologists. We conducted a descriptive, cross-sectional survey of Peruvian neurologists in Lima and Arequipa, Peru. Forty-eight neurologists completed written s...

  8. Exchanging and using research evidence in health policy networks: a statistical network analysis.

    Science.gov (United States)

    Shearer, Jessica C; Dion, Michelle; Lavis, John N

    2014-10-30

    Evidence-informed health policymaking is a goal of equitable and effective health systems but occurs infrequently in reality. Past research points to the facilitating role of interpersonal relationships between policy-makers and researchers, imploring the adoption of a social network lens. This study aims to identify network-level factors associated with the exchange and use of research evidence in policymaking. Data on social networks and research use were collected from seventy policy actors across three health policy cases in Burkina Faso (child health, malaria, and HIV). Networks were graphed for actors' interactions, their provision of, and request for research evidence. Exponential random graph models estimated the probability of evidence provision and request between actors, controlling for network- and individual-level covariates. Logistic regression models estimated actors' use of research evidence to inform policy. Network structure explained more than half of the evidence exchanges (ties) observed in these networks. Across all cases, a pair of actors was more likely to form a provision tie if they already had a request tie between them and visa versa (θ=6.16, presearch evidence was positively associated with their centrality (i.e., connectedness). The exchange and use of research evidence in policymaking can be partly explained by the structure of actors' networks of relationships. Efforts to support knowledge translation and evidence-informed policymaking should consider network factors.

  9. Community-centred Networks and Networking among Companies, Educational and Cultural Institutions and Research

    DEFF Research Database (Denmark)

    Konnerup, Ulla; Dirckinck-Holmfeld, Lone

    2010-01-01

    and research as formulated in the Triple Helix Model (Etzkowitz 2008). The article draws on a case study of NoEL, a network on e-learning among business, educational and cultural institutions and research, all in all 21 partners from all around Denmark. Focus is how networks and networking change character......This article presents visions for community-centred networks and networking among companies, educational and cultural institutions and research based on blended on- and off-line collaboration and communication. Our point of departure is the general vision of networking between government, industry....... Finally, we argue for our vision and plans for the future NoEL; e.g. the importance of stronger online activities. We believe that design must be based on collaborative thinking, which consists of open and collaborative sharing of resources among participants from companies, institutions and research...

  10. PCs and networking for oceanographic research vessels

    Digital Repository Service at National Institute of Oceanography (India)

    Desai, R.G.P.; Desa, E.; Vithayathil, G.

    on IBM PC compatibles. The computers are located in different laboratories and are dedicated to data collection from one or more instruments. They are integratEd. by a local area network for real time sharing and integration of data. The special...

  11. Research award: Networked Economies | IDRC - International ...

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

    2017-09-06

    Sep 6, 2017 ... Deadline: September 6, 2017 Please note that all applications must be submitted online. IDRC is one of the ... For example, big data analytics can offer solutions to a number of health and social problems, but they also pose privacy and security concerns for governments in the developing world. Networked ...

  12. Research Award: Networked Economies | IDRC - International ...

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

    2016-09-07

    Sep 7, 2016 ... Deadline: September 7, 2016 Please note that all applications must be submitted online. IDRC is one of the world's ... For example, open data has great potential for driving innovation. Similarly, big data analytics can offer solutions to a number of health and social problems. Networked Economies also ...

  13. Reward-based training of recurrent neural networks for cognitive and value-based tasks.

    Science.gov (United States)

    Song, H Francis; Yang, Guangyu R; Wang, Xiao-Jing

    2017-01-13

    Trained neural network models, which exhibit features of neural activity recorded from behaving animals, may provide insights into the circuit mechanisms of cognitive functions through systematic analysis of network activity and connectivity. However, in contrast to the graded error signals commonly used to train networks through supervised learning, animals learn from reward feedback on definite actions through reinforcement learning. Reward maximization is particularly relevant when optimal behavior depends on an animal's internal judgment of confidence or subjective preferences. Here, we implement reward-based training of recurrent neural networks in which a value network guides learning by using the activity of the decision network to predict future reward. We show that such models capture behavioral and electrophysiological findings from well-known experimental paradigms. Our work provides a unified framework for investigating diverse cognitive and value-based computations, and predicts a role for value representation that is essential for learning, but not executing, a task.

  14. Research Universities as Knowledge Networks: The Role of Institutional Research

    Science.gov (United States)

    Chirikov, Igor

    2013-01-01

    This article focuses on the elaboration of institutional research practice, which is an important element of any research university. The study addresses three questions. First, how did institutional research arise, and what is its raison d'etre in a research university? Second, how can institutional research contribute to the improvement of the…

  15. Common swine models of cardiovascular disease for research and training.

    Science.gov (United States)

    Crisóstomo, Verónica; Sun, Fei; Maynar, Manuel; Báez-Díaz, Claudia; Blanco, Virginia; Garcia-Lindo, Monica; Usón-Gargallo, Jesús; Sánchez-Margallo, Francisco Miguel

    2016-02-01

    Cardiovascular diseases are a major health concern and therefore an important topic in biomedical research. Large animal models allow researchers to assess the safety and efficacy of new cardiovascular procedures in systems that resemble human anatomy; additionally, they can be used to emulate scenarios for training purposes. Among the many biomedical models that are described in published literature, it is important that researchers understand and select those that are best suited to achieve the aims of their research, that facilitate the humane care and management of their research animals and that best promote the high ethical standards required of animal research. In this resource the authors describe some common swine models that can be easily incorporated into regular practices of research and training at biomedical institutions. These models use both native and altered vascular anatomy of swine to carry out research protocols, such as testing biological reactions to implanted materials, surgically creating aneurysms using autologous tissue and inducing myocardial infarction through closed-chest procedures. Such models can also be used for training, where native and altered vascular anatomy allow medical professionals to learn and practice challenging techniques in anatomy that closely simulates human systems.

  16. Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL.

    Science.gov (United States)

    Taylor, John G.; Husmeier, Dirk

    1998-01-01

    Predicting conditional probability densities with neural networks requires complex (at least two-hidden-layer) architectures, which normally leads to rather long training times. By adopting the RVFL concept and constraining a subset of the parameters to randomly chosen initial values (such that the EM-algorithm can be applied), the training process can be accelerated by about two orders of magnitude. This allows training of a whole ensemble of networks at the same computational costs as would be required otherwise for training a single model. The simulations performed suggest that in this way a significant improvement of the generalization performance can be achieved. Copyright 1997 Elsevier Science Ltd.

  17. Multipath Routing in Wireless Sensor Networks: Survey and Research Challenges

    Science.gov (United States)

    Radi, Marjan; Dezfouli, Behnam; Bakar, Kamalrulnizam Abu; Lee, Malrey

    2012-01-01

    A wireless sensor network is a large collection of sensor nodes with limited power supply and constrained computational capability. Due to the restricted communication range and high density of sensor nodes, packet forwarding in sensor networks is usually performed through multi-hop data transmission. Therefore, routing in wireless sensor networks has been considered an important field of research over the past decade. Nowadays, multipath routing approach is widely used in wireless sensor networks to improve network performance through efficient utilization of available network resources. Accordingly, the main aim of this survey is to present the concept of the multipath routing approach and its fundamental challenges, as well as the basic motivations for utilizing this technique in wireless sensor networks. In addition, we present a comprehensive taxonomy on the existing multipath routing protocols, which are especially designed for wireless sensor networks. We highlight the primary motivation behind the development of each protocol category and explain the operation of different protocols in detail, with emphasis on their advantages and disadvantages. Furthermore, this paper compares and summarizes the state-of-the-art multipath routing techniques from the network application point of view. Finally, we identify open issues for further research in the development of multipath routing protocols for wireless sensor networks. PMID:22368490

  18. Multipath routing in wireless sensor networks: survey and research challenges.

    Science.gov (United States)

    Radi, Marjan; Dezfouli, Behnam; Abu Bakar, Kamalrulnizam; Lee, Malrey

    2012-01-01

    A wireless sensor network is a large collection of sensor nodes with limited power supply and constrained computational capability. Due to the restricted communication range and high density of sensor nodes, packet forwarding in sensor networks is usually performed through multi-hop data transmission. Therefore, routing in wireless sensor networks has been considered an important field of research over the past decade. Nowadays, multipath routing approach is widely used in wireless sensor networks to improve network performance through efficient utilization of available network resources. Accordingly, the main aim of this survey is to present the concept of the multipath routing approach and its fundamental challenges, as well as the basic motivations for utilizing this technique in wireless sensor networks. In addition, we present a comprehensive taxonomy on the existing multipath routing protocols, which are especially designed for wireless sensor networks. We highlight the primary motivation behind the development of each protocol category and explain the operation of different protocols in detail, with emphasis on their advantages and disadvantages. Furthermore, this paper compares and summarizes the state-of-the-art multipath routing techniques from the network application point of view. Finally, we identify open issues for further research in the development of multipath routing protocols for wireless sensor networks.

  19. Musical training induces functional and structural auditory-motor network plasticity in young adults.

    Science.gov (United States)

    Li, Qiongling; Wang, Xuetong; Wang, Shaoyi; Xie, Yongqi; Li, Xinwei; Xie, Yachao; Li, Shuyu

    2018-02-05

    Playing music requires a strong coupling of perception and action mediated by multimodal integration of brain regions, which can be described as network connections measured by anatomical and functional correlations between regions. However, the structural and functional connectivities within and between the auditory and sensorimotor networks after long-term musical training remain largely uninvestigated. Here, we compared the structural connectivity (SC) and resting-state functional connectivity (rs-FC) within and between the two networks in 29 novice healthy young adults before and after musical training (piano) with those of another 27 novice participants who were evaluated longitudinally but with no intervention. In addition, a correlation analysis was performed between the changes in FC or SC with practice time in the training group. As expected, participants in the training group showed increased FC within the sensorimotor network and increased FC and SC of the auditory-motor network after musical training. Interestingly, we further found that the changes in FC within the sensorimotor network and SC of the auditory-motor network were positively correlated with practice time. Our results indicate that musical training could induce enhanced local interaction and global integration between musical performance-related regions, which provides insights into the mechanism of brain plasticity in young adults. © 2018 Wiley Periodicals, Inc.

  20. Taxonomy for the Network and Service Management Research Field

    NARCIS (Netherlands)

    Raniery Paula dos Santos, Carlos; Famaey, Jeroen; Schönwälder, Jürgen; Zambenedetti Granville, Lisandro; Pras, Aiko; De Turck, Filip

    Network and service management has established itself as a research field in the general area of computer networks. However, up to now, no appropriate organization of the field has been carried out in terms of a comprehensive list of terms and topics. In this paper, we introduce a taxonomy for

  1. Learning Networks--Enabling Change through Community Action Research

    Science.gov (United States)

    Bleach, Josephine

    2016-01-01

    Learning networks are a critical element of ethos of the community action research approach taken by the Early Learning Initiative at the National College of Ireland, a community-based educational initiative in the Dublin Docklands. Key criteria for networking, whether at local, national or international level, are the individual's and…

  2. Online communities: Challenges and opportunities for social network research

    NARCIS (Netherlands)

    Groenewegen, P.; Moser, C.; Brass, D.; Labianca, G.; Mehra, A.; Halgin, D; Borgatti, S

    2014-01-01

    Online communities form a challenging and still-evolving field for social network research. We highlight two themes that are at the core of social network literature: formative processes and structures, and discuss how these might be relevant in the context of online communities. Processes of tie

  3. Educational Research Network for West and Central Africa ...

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

    This grant will assist the Educational Research Network for West and Central Africa (ERNWACA) by providing funding for succession planning, recruiting a regional coordinator (to be based in Mali) and strengthening the Network's capacity to mobilize resources with a view to long-term sustainability.

  4. Continuing training program in radiation protection in biological research centers

    International Nuclear Information System (INIS)

    Escudero, R.; Hidalgo, R.M.; Usera, F.; Macias, M.T.; Mirpuri, E.; Perez, J.; Sanchez, A.

    2008-01-01

    The use of ionizing radiation in biological research has many specific characteristics. A great variety of radioisotopic techniques involve unsealed radioactive sources, and their use not only carries a risk of irradiation, but also a significant risk of contamination. Moreover, a high proportion of researchers are in training and the labor mobility rate is therefore high. Furthermore, most newly incorporated personnel have little or no previous training in radiological protection, since most academic qualifications do not include training in this discipline. In a biological research center, in addition to personnel whose work is directly associated with the radioactive facility (scientific-technical personnel, operators, supervisors), there are also groups of support personnel The use of ionizing radiation in biological research has many specific characteristics. A great variety of radioisotopic techniques involve unsealed radioactive sources, and their use not only carries a risk of irradiation, but also a significant risk of contamination. Moreover, a high proportion of researchers are in training and the labor mobility rate is therefore high. Furthermore, most newly incorporated personnel have little or no previous training in radiological protection, since most academic qualifications do not include training in this discipline. In a biological research center, in addition to personnel whose work is directly associated with the radioactive facility (scientific-technical personnel, operators, supervisors), there are also groups of support personnel maintenance and instrumentation workers, cleaners, administrative personnel, etc. who are associated with the radioactive facility indirectly. These workers are affected by the work in the radioactive facility to varying degrees, and they therefore also require information and training in radiological protection tailored to their level of interaction with the installation. The aim of this study was to design a

  5. Training physician investigators in medicine and public health research.

    Science.gov (United States)

    Gourevitch, Marc N; Jay, Melanie R; Goldfrank, Lewis R; Mendelsohn, Alan L; Dreyer, Benard P; Foltin, George L; Lipkin, Mack; Schwartz, Mark D

    2012-07-01

    We have described and evaluated the impact of a unique fellowship program designed to train postdoctoral, physician fellows in research at the interface of medicine and public health. We developed a rigorous curriculum in public health content and research methods and fostered linkages with research mentors and local public health agencies. Didactic training provided the foundation for fellows' mentored research initiatives, which addressed real-world challenges in advancing the health status of vulnerable urban populations. Two multidisciplinary cohorts (6 per cohort) completed this 2-year degree-granting program and engaged in diverse public health research initiatives on topics such as improving pediatric care outcomes through health literacy interventions, reducing hospital readmission rates among urban poor with multiple comorbidities, increasing cancer screening uptake, and broadening the reach of addiction screening and intervention. The majority of fellows (10/12) published their fellowship work and currently have a career focused in public health-related research or practice (9/12). A fellowship training program can prepare physician investigators for research careers that bridge the divide between medicine and public health.

  6. A neural network driving curve generation method for the heavy-haul train

    Directory of Open Access Journals (Sweden)

    Youneng Huang

    2016-05-01

    Full Text Available The heavy-haul train has a series of characteristics, such as the locomotive traction properties, the longer length of train, and the nonlinear train pipe pressure during train braking. When the train is running on a continuous long and steep downgrade railway line, the safety of the train is ensured by cycle braking, which puts high demands on the driving skills of the driver. In this article, a driving curve generation method for the heavy-haul train based on a neural network is proposed. First, in order to describe the nonlinear characteristics of train braking, the neural network model is constructed and trained by practical driving data. In the neural network model, various nonlinear neurons are interconnected to work for information processing and transmission. The target value of train braking pressure reduction and release time is achieved by modeling the braking process. The equation of train motion is computed to obtain the driving curve. Finally, in four typical operation scenarios, comparing the curve data generated by the method with corresponding practical data of the Shuohuang heavy-haul railway line, the results show that the method is effective.

  7. Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults.

    Science.gov (United States)

    Gallen, Courtney L; Baniqued, Pauline L; Chapman, Sandra B; Aslan, Sina; Keebler, Molly; Didehbani, Nyaz; D'Esposito, Mark

    2016-01-01

    Cognitive training interventions are a promising approach to mitigate cognitive deficits common in aging and, ultimately, to improve functioning in older adults. Baseline neural factors, such as properties of brain networks, may predict training outcomes and can be used to improve the effectiveness of interventions. Here, we investigated the relationship between baseline brain network modularity, a measure of the segregation of brain sub-networks, and training-related gains in cognition in older adults. We found that older adults with more segregated brain sub-networks (i.e., more modular networks) at baseline exhibited greater training improvements in the ability to synthesize complex information. Further, the relationship between modularity and training-related gains was more pronounced in sub-networks mediating "associative" functions compared with those involved in sensory-motor processing. These results suggest that assessments of brain networks can be used as a biomarker to guide the implementation of cognitive interventions and improve outcomes across individuals. More broadly, these findings also suggest that properties of brain networks may capture individual differences in learning and neuroplasticity. Trail Registration: ClinicalTrials.gov, NCT#00977418.

  8. Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults.

    Directory of Open Access Journals (Sweden)

    Courtney L Gallen

    Full Text Available Cognitive training interventions are a promising approach to mitigate cognitive deficits common in aging and, ultimately, to improve functioning in older adults. Baseline neural factors, such as properties of brain networks, may predict training outcomes and can be used to improve the effectiveness of interventions. Here, we investigated the relationship between baseline brain network modularity, a measure of the segregation of brain sub-networks, and training-related gains in cognition in older adults. We found that older adults with more segregated brain sub-networks (i.e., more modular networks at baseline exhibited greater training improvements in the ability to synthesize complex information. Further, the relationship between modularity and training-related gains was more pronounced in sub-networks mediating "associative" functions compared with those involved in sensory-motor processing. These results suggest that assessments of brain networks can be used as a biomarker to guide the implementation of cognitive interventions and improve outcomes across individuals. More broadly, these findings also suggest that properties of brain networks may capture individual differences in learning and neuroplasticity. Trail Registration: ClinicalTrials.gov, NCT#00977418.

  9. Enhancing the Impact of Research: Experimenting with Network Leadership Strategies to Grow a Vibrant Nature-Based Learning Research Network

    Directory of Open Access Journals (Sweden)

    Catherine Jordan

    2017-10-01

    Full Text Available Research can fall short of having societal impact due to traditions of the research enterprise as well as the perceptions of researchers about their appropriate role. What if researchers saw their work as part of a social movement to make change, and the research enterprise was designed to encourage that view and to facilitate relevance, rigor, activation of research, and a collaborative approach to address research questions aligned with a common goal? What would such a research enterprise look like? In this article, we describe the application of “network leadership strategies” to develop a “generative, social-impact network” to support the efforts of a nature-based learning research network to advance knowledge of the natural environment's impact on children's learning and educational outcomes. The activities and achievements of the nature-based learning research network are examined through the lens of network-building approaches aiming to create social impact. Though inspired by and grounded in these approaches, the reality is that certain constraints influenced our ability to function collaboratively as a generative, social-impact network and to fully realize the potential of this approach. We describe these challenges and offer recommendations for other researchers interested in enhancing the social impact of research.

  10. Participatory action research in the training of primary health care ...

    African Journals Online (AJOL)

    Background: The aim of this study was to understand and be part of a process of change in the training of primary health care nurses in Venda. Methods:Because participatory action research (PAR), which is an emancipatory-critical paradigm, to a great extent shares the same worldview as adult education and sustainable ...

  11. Museum Accessibility: Combining Audience Research and Staff Training

    Science.gov (United States)

    Levent, Nina; Reich, Christine

    2013-01-01

    This article discusses an audience-informed professional development model that combines audience research focus groups and staff training that includes interaction and direct feedback from visitors, in this case, visitors with low vision. There are two critical components to this model: one is that museums' programming decisions are informed by…

  12. West African Research and Training Hub on Environmental and ...

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

    This project will help establish a West African Global Environmental and Occupational Health (GEO Health) Hub in environmental and occupational health. It will aim to enhance regional capacity and leadership for world-class research, training, and innovation to address national and regional health priorities. The hub will ...

  13. Strengthening engineering research and training in Africa | CRDI ...

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

    IDRC seeks to bridge the gap between the supply of, and demand for, research and training in applied science fields to support direct applications to socioeconomic ... Dans le dernier numéro du bulletin de BRAS, lisez un message d'adieu de Simon Carter, directeur régional du bureau du CRDI en Afrique subsaharienne.

  14. Mississippi CaP HBCU Undergraduate Research Training Program

    Science.gov (United States)

    2016-09-01

    16 Annual Summary 1. Introduction Mississippi has the second highest rate of PCa death in the country and the fourth highest incidence...train undergraduate students from two Historically Black Colleges and Universities, Tougaloo College (TC) and Jackson State University (JSU), so they...detailedguide/prostate-cancer- key- statistics The webpage informs prospective applicants about eligibility requirements, Program components, Summer Research

  15. Strengthening engineering research and training in Africa | IDRC ...

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

    IDRC seeks to bridge the gap between the supply of, and demand for, research and training in applied science fields to support direct applications to socioeconomic development at the regional and national scales. This call for proposals challenges universities as well as public and private stakeholders to develop and ...

  16. Extending, Broadening and Rethinking Existing Research on Transfer of Training

    Science.gov (United States)

    Volet, Simone

    2013-01-01

    The aim of this Special Issue was to generate a new integrated agenda for research on transfer of training. It brought together scholars from diverse perspectives and invited them to strive toward synergy. This article examines how this collection of articles, as well as other bodies of literature, can help extend, broaden and rethink current…

  17. Editorial: Structured operational research and training in the public ...

    African Journals Online (AJOL)

    Editorial: Structured operational research and training in the public health sector: the Kenyan experience. P.O. Owiti, R.J. Kosgei, A Beatrice Kihara, O Ogutu, W Kizito, J.K. Edwards, H Tweya, K.C. Takarinda, J.K. Sitienei, E.M. Kamau ...

  18. Training and research reactor facility longevity extension program

    International Nuclear Information System (INIS)

    Carriveau, G.W.

    1991-01-01

    Since 1943, over 550 training and research reactors have been in operation. According to statistics from the International Atomic Energy Agency, ∼325 training and research reactors are currently in service. This total includes a wide variety of designs covering a range of power and research capabilities located virtually around the world. A program has been established at General Atomics (GA) that is dedicated to the support of extended longevity of training and research reactor facilities. Aspects of this program include the following: (1) new instrumentation and control systems; (2) improved and upgraded nuclear monitoring and control channels; (3) facility testing, repair and upgrade services that include (a) pool or tank integrity, (b) cooling system, and (c) water purification system; (4) fuel element testing procedures and replacement; (5) control rod drive rebuilding and upgrades; (6) control and monitoring system calibration and repair service; (7) training services, including reactor operations, maintenance, instrumentation calibration, and repair; and (8) expanded or new uses such as neutron radiography and autoradiography, isotope production, nuclear medicine, activation analysis, and material properties modification

  19. Human Factors Research in Aircrew Performance and Training

    Science.gov (United States)

    1988-08-01

    McAnulty Anacapa Sciences, Inc. for ARI Field Unit at Fort Rucker, Alabama Charles A. Gainer, Chief Training Research Laboratory Jack H. Hiller ...standardize aviatur pfrformance ratings durinq the commander’s eva uatr checkr ides, . ARIA1PDA a tuonnel won] d desicgnat,, irndi vi 1u ]s s Lserv~r> t9

  20. One Health training, research, and outreach in North America

    Directory of Open Access Journals (Sweden)

    Cheryl Stroud

    2016-11-01

    Full Text Available Background: The One Health (OH concept, formerly referred to as ‘One Medicine’ in the later part of the 20th century, has gained exceptional popularity in the early 21st century, and numerous academic and non-academic institutions have developed One Health programs. Objectives: To summarize One Health training, research, and outreach activities originating in North America. Methods: We used data from extensive electronic records maintained by the One Health Commission (OHC (www.onehealthcommission.org/ and the One Health Initiative (www.onehealthinitiative.com/ and from web-based searches, combined with the corporate knowledge of the authors and their professional contacts. Finally, a call was released to members of the OHC's Global One Health Community listserv, asking that they populate a Google document with information on One Health training, research, and outreach activities in North American academic and non-academic institutions. Results: A current snapshot of North American One Health training, research, and outreach activities as of August 2016 has evolved. Conclusions: It is clear that the One Health concept has gained considerable recognition during the first decade of the 21st century, with numerous current training and research activities carried out among North American academic, non-academic, government, corporate, and non-profit entities.

  1. Adaptive Training and Education Research at the US Army Research Laboratory: Bibliography (2013-2015)

    Science.gov (United States)

    2016-03-01

    Industry Training, Simulation and Education, Artificial Intelligence in Education, Intelligent Tutoring Systems, Human Factors and Ergonomics , Applied...Human Factors and Ergonomics , Augmented Cognition, Defense and Homeland Security Simulation, and Florida Artificial Intelligence Research Society...and Education Conference; 2015 Dec; Orlando, FL. Long R, Hyland J, Barnieu J, Development and evaluation of mobile adaptive training technologies

  2. The Relationships Between Policy, Boundaries and Research in Networked Learning

    DEFF Research Database (Denmark)

    Ryberg, Thomas; Sinclair, Christine

    2016-01-01

    The biennial Networked Learning Conference is an established locus for work on practice, research and epistemology in the field of networked learning. That work continues between the conferences through the researchers’ own networks, ‘hot seat’ debates, and through publications, especially...... for the Networked Learning Conference are all peer-reviewed, and as they have turned into chapters for this book, each has been re-reviewed by the editors and other authors. The result is a genuinely collegial distillation of themes from a stimulating conference; a snapshot of a time when national and international...

  3. Innovative research of AD HOC network mobility model

    Science.gov (United States)

    Chen, Xin

    2017-08-01

    It is difficult for researchers of AD HOC network to conduct actual deployment during experimental stage as the network topology is changeable and location of nodes is unfixed. Thus simulation still remains the main research method of the network. Mobility model is an important component of AD HOC network simulation. It is used to describe the movement pattern of nodes in AD HOC network (including location and velocity, etc.) and decides the movement trail of nodes, playing as the abstraction of the movement modes of nodes. Therefore, mobility model which simulates node movement is an important foundation for simulation research. In AD HOC network research, mobility model shall reflect the movement law of nodes as truly as possible. In this paper, node generally refers to the wireless equipment people carry. The main research contents include how nodes avoid obstacles during movement process and the impacts of obstacles on the mutual relation among nodes, based on which a Node Self Avoiding Obstacle, i.e. NASO model is established in AD HOC network.

  4. Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks.

    Science.gov (United States)

    Ding, Weifu; Zhang, Jiangshe; Leung, Yee

    2016-10-01

    In this paper, we predict air pollutant concentration using a feedforward artificial neural network inspired by the mechanism of the human brain as a useful alternative to traditional statistical modeling techniques. The neural network is trained based on sparse response back-propagation in which only a small number of neurons respond to the specified stimulus simultaneously and provide a high convergence rate for the trained network, in addition to low energy consumption and greater generalization. Our method is evaluated on Hong Kong air monitoring station data and corresponding meteorological variables for which five air quality parameters were gathered at four monitoring stations in Hong Kong over 4 years (2012-2015). Our results show that our training method has more advantages in terms of the precision of the prediction, effectiveness, and generalization of traditional linear regression algorithms when compared with a feedforward artificial neural network trained using traditional back-propagation.

  5. Research on key technology of space laser communication network

    Science.gov (United States)

    Chang, Chengwu; Huang, Huiming; Liu, Hongyang; Gao, Shenghua; Cheng, Liyu

    2016-10-01

    Since the 21st century, Spatial laser communication has made a breakthrough development. Europe, the United States, Japan and other space powers have carried out the test of spatial laser communication technology on-orbit, and put forward a series of plans. In 2011, China made the first technology demonstration of satellite-ground laser communication carried by HY-2 satellite. Nowadays, in order to improve the transmission rate of spatial network, the topic of spatial laser communication network is becoming a research hotspot at home and abroad. This thesis, from the basic problem of spatial laser communication network to solve, analyzes the main difference between spatial network and ground network, which draws forth the key technology of spatial laser communication backbone network, and systematically introduces our research on aggregation, addressing, architecture of spatial network. From the perspective of technology development status and trends, the thesis proposes the development route of spatial laser communication network in stages. So as to provide reference about the development of spatial laser communication network in China.

  6. African Transitional Justice Research Network - Phase II | IDRC ...

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

    The African Transitional Justice Research Network (ATJRN) aims to strengthen the capacity of African researchers and civil society institutions to conduct effective human rights advocacy through the production of high-quality, locally based and targeted empirical research. Phase I of the project (102862) focused on creating ...

  7. West and Central African Research and Education Networking ...

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

    West and Central African Research and Education Networking (WACREN). For universities and research centres around the world, the Internet has become an important resource for teaching, learning and research. But, African universities have always faced important challenges to accessing cheap and reliable bandwidth ...

  8. Researching Design, Experience and Practice of Networked Learning

    DEFF Research Database (Denmark)

    Hodgson, Vivien; de Laat, Maarten; McConnell, David

    2014-01-01

    and final section draws attention to a growing topic of interest within networked learning: that of networked learning in informal practices. In addition, we provide a reflection on the theories, methods and settings featured in the networked learning research of the chapters. We conclude the introduction...... by discussing four main themes that have emerged from our reading of the chapters and which we believe are important in taking forward the theory of networked learning. They are as follows: practice as epistemology; the coupling of learning contexts (the relationship and connection of learning contexts......In the introductory chapter, we explore how networked learning has developed in recent years by summarising and discussing the research presented in the chapters of the book. The chapters are structured in three sections, each highlighting a particular aspect of practice. The first section focuses...

  9. Content-centric networks an overview, applications and research challenges

    CERN Document Server

    Ahmed, Syed Hassan; Kim, Dongkyun

    2016-01-01

    This book introduces Content-Centric Networking (CCN), a networking paradigm that provides a simple and effective solution to the challenging demands of future wired and wireless communications. It provides an overview of the recent developments in the area of future internet technologies, bringing together the advancements that have been made in Information-Centric Networking (ICN) in general, with a focus on CCN. It begins with an introduction to the basics of CCN is followed by an overview of the current internet paradigm and its challenges. Next, an application perspective has been included, where the authors encompass the selected applications for CCN with recent refereed research and developments. These applications include Internet of Things (IoT), Smart Grid, Vehicular Ad hoc Networks (VANETs), and Wireless Sensor Networks (WSNs). The book is a useful reference source for practising researchers, and can be used as supporting material for undergraduate and graduate level courses in computer science and...

  10. Research of future network with multi-layer IP address

    Science.gov (United States)

    Li, Guoling; Long, Zhaohua; Wei, Ziqiang

    2018-04-01

    The shortage of IP addresses and the scalability of routing systems [1] are challenges for the Internet. The idea of dividing existing IP addresses between identities and locations is one of the important research directions. This paper proposed a new decimal network architecture based on IPv9 [11], and decimal network IP address from E.164 principle of traditional telecommunication network, the IP address level, which helps to achieve separation and identification and location of IP address, IP address form a multilayer network structure, routing scalability problem in remission at the same time, to solve the problem of IPv4 address depletion. On the basis of IPv9, a new decimal network architecture is proposed, and the IP address of the decimal network draws on the E.164 principle of the traditional telecommunication network, and the IP addresses are hierarchically divided, which helps to realize the identification and location separation of IP addresses, the formation of multi-layer IP address network structure, while easing the scalability of the routing system to find a way out of IPv4 address exhausted. In addition to modifying DNS [10] simply and adding the function of digital domain, a DDNS [12] is formed. At the same time, a gateway device is added, that is, IPV9 gateway. The original backbone network and user network are unchanged.

  11. Global Development Network: Supporting Global Research Capacity

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

    GDN's capacity-building objective is being strengthened through their Global Research Capacity Building program, which provides up to six years of direct support for collaborative and cross-disciplinary research through regional competitions. This increased focus on capacity building enhances the commonalities with ...

  12. Tobacco Control Research, Dissemination and Networking in ...

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

    The Tobacco Control Research Group (TCRG), University of Beirut (AUB), is a multidisciplinary team of professionals from the health sciences, medicine, chemistry and engineering departments. The Group was established in 1999 with IDRC support and has since produced some remarkable research on waterpipe ...

  13. Building national capacity for research mentor training: an evidence-based approach to training the trainers.

    Science.gov (United States)

    Pfund, Christine; Spencer, Kimberly C; Asquith, Pamela; House, Stephanie C; Miller, Sarah; Sorkness, Christine A

    2015-01-01

    Research mentor training (RMT), based on the published Entering Mentoring curricula series, has been shown to improve the knowledge and skills of research mentors across career stages, as self-reported by both the mentors engaged in training and their mentees. To promote widespread dissemination and empower others to implement this evidence-based training at their home institutions, we developed an extensive, interactive, multifaceted train-the-trainer workshop. The specific goals of these workshops are to 1) increase facilitator knowledge of an RMT curriculum, 2) increase facilitator confidence in implementing the curriculum, 3) provide a safe environment to practice facilitation of curricular activities, and 4) review implementation strategies and evaluation tools. Data indicate that our approach results in high satisfaction and significant confidence gains among attendees. Of the 195 diverse attendees trained in our workshops since Fall 2010, 44% report implementation at 39 different institutions, collectively training more than 500 mentors. Further, mentors who participated in the RMT sessions led by our trained facilitators report high facilitator effectiveness in guiding discussion. Implications and challenges to building the national capacity needed for improved research mentoring relationships are discussed. © 2015 C. Pfund, K. C. Spencer, et al. CBE—Life Sciences Education © 2015 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  14. Working memory training mostly engages general-purpose large-scale networks for learning.

    Science.gov (United States)

    Salmi, Juha; Nyberg, Lars; Laine, Matti

    2018-03-21

    The present meta-analytic study examined brain activation changes following working memory (WM) training, a form of cognitive training that has attracted considerable interest. Comparisons with perceptual-motor (PM) learning revealed that WM training engages domain-general large-scale networks for learning encompassing the dorsal attention and salience networks, sensory areas, and striatum. Also the dynamics of the training-induced brain activation changes within these networks showed a high overlap between WM and PM training. The distinguishing feature for WM training was the consistent modulation of the dorso- and ventrolateral prefrontal cortex (DLPFC/VLPFC) activity. The strongest candidate for mediating transfer to similar untrained WM tasks was the frontostriatal system, showing higher striatal and VLPFC activations, and lower DLPFC activations after training. Modulation of transfer-related areas occurred mostly with longer training periods. Overall, our findings place WM training effects into a general perception-action cycle, where some modulations may depend on the specific cognitive demands of a training task. Copyright © 2018 Elsevier Ltd. All rights reserved.

  15. SOCIAL KNOWLEDGE MANAGEMENT, RESEARCH AND INNOVATION NETWORKS FOR INCLUSION

    Directory of Open Access Journals (Sweden)

    Sandra Ace vedo Zapata

    2017-09-01

    Full Text Available The objective is to describe the social management of knowledge through research and innovation networks to promote social inclusion. The reflection of the exploratory stage is presented within the doctoral thesis analyzing the challenges of the universities in the achievement of social inclusion with networks of research and innovation. A descriptive work was done, with documentary tracking, systematization and analysis. The findings show that it is necessary to articulate efforts in interdisciplinary and transdisciplinary networks with different actors: state, company, education, scientists, technologists and vulnerable, excluded populations, to build policies and strategies for social inclusion.

  16. Applied cognition and training research to address emerging military requirements

    Science.gov (United States)

    Nicholson, Denise; Bowers, Clint; Davis, Larry; Fidopiastis, Cali

    2007-04-01

    Modeling, Simulation and Training (MS&T) technologies have provided significant capabilities for Military training and mission rehearsal. However, most of the state-of-the-art MS&T systems used today are high fidelity, stand alone systems, routinely staffed by a team of support and instructional personnel. As the military becomes more reliant on these technologies to support ever changing concepts of operations, they are asking for numerous technological advancements including 1) automated instructional features to reduce the number of personnel required for exercises, 2) increased capability for adaptation of human computer interfaces to support individual differences and embedded performance support in operational settings, and 3) a continuum of low to high fidelity system components to provide embedded, deployable and transportable solutions. A multi-disciplinary team of researchers at the University of Central Florida's (UCF) Institute for Simulation and Training (IST) Applied Cognition and Training in Immersive Virtual Environments Lab (ACTIVE), lead by Dr. Denise Nicholson, is performing research and development to address these emerging requirements as part of on-going projects for Navy, Marine Corps and Army customers. In this paper we will discuss some of the challenges that confront researchers in this area and how the ACTIVE lab hopes to respond to these challenges.

  17. Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance.

    Science.gov (United States)

    Mazurowski, Maciej A; Habas, Piotr A; Zurada, Jacek M; Lo, Joseph Y; Baker, Jay A; Tourassi, Georgia D

    2008-01-01

    This study investigates the effect of class imbalance in training data when developing neural network classifiers for computer-aided medical diagnosis. The investigation is performed in the presence of other characteristics that are typical among medical data, namely small training sample size, large number of features, and correlations between features. Two methods of neural network training are explored: classical backpropagation (BP) and particle swarm optimization (PSO) with clinically relevant training criteria. An experimental study is performed using simulated data and the conclusions are further validated on real clinical data for breast cancer diagnosis. The results show that classifier performance deteriorates with even modest class imbalance in the training data. Further, it is shown that BP is generally preferable over PSO for imbalanced training data especially with small data sample and large number of features. Finally, it is shown that there is no clear preference between oversampling and no compensation approach and some guidance is provided regarding a proper selection.

  18. RESEARCH ON ROMANIAN MANAGER TRAINING IN PRE-UNIVERSITY EDUCATION

    Directory of Open Access Journals (Sweden)

    Tuşa Ana

    2013-06-01

    Full Text Available Following the implementation of educational reform, school leadership has become very important. School principals have become managers and it was necessary a qualification process for them. The purpose of this study was to establish training needs and training school managers. The research instrument was a questionnaire applied to a number of 38 school managers of the eight regions of Romania. Analyzing data from the questionnaires respondents received, we found the following: • there is a clear idea of managerial tasks • school management issues are not fully known by the respondents. School education directors reported several problems such as: • Requiring high problems that have not been trained • The need for skills in areas such as accounting, administration, legal, information technology • Making teaching standard together with managerial activity A percentage of 62.70% of executives felt they were not sufficiently prepared for effective business management.

  19. Optimizing Intermodal Train Schedules with a Design Balanced Network Design Model

    DEFF Research Database (Denmark)

    Pedersen, Michael Berliner; Crainic, Teodor Gabriel

    We present a modeling approach for optimizing intermodal trains schedules based on an infrastructure divided into time-dependent train paths. The formulation can be generalized to a capacitated multi commodity network design model with additional design balance constraints. We present a Tabu Search...

  20. On Training Efficiency and Computational Costs of a Feed Forward Neural Network: A Review.

    Science.gov (United States)

    Laudani, Antonino; Lozito, Gabriele Maria; Riganti Fulginei, Francesco; Salvini, Alessandro

    2015-01-01

    A comprehensive review on the problem of choosing a suitable activation function for the hidden layer of a feed forward neural network has been widely investigated. Since the nonlinear component of a neural network is the main contributor to the network mapping capabilities, the different choices that may lead to enhanced performances, in terms of training, generalization, or computational costs, are analyzed, both in general-purpose and in embedded computing environments. Finally, a strategy to convert a network configuration between different activation functions without altering the network mapping capabilities will be presented.

  1. Research on quasi-dynamic calibration model of plastic sensitive element based on neural networks

    Science.gov (United States)

    Wang, Fang; Kong, Deren; Yang, Lixia; Zhang, Zouzou

    2017-08-01

    Quasi-dynamic calibration accuracy of the plastic sensitive element depends on the accuracy of the fitting model between pressure and deformation. By using the excellent nonlinear mapping ability of RBF (Radial Basis Function) neural network, a calibration model is established which use the peak pressure as the input and use the deformation of the plastic sensitive element as the output in this paper. The calibration experiments of a batch of copper cylinders are carried out on the quasi-dynamic pressure calibration device, which pressure range is within the range of 200MPa to 700MPa. The experiment data are acquired according to the standard pressure monitoring system. The network train and study are done to quasi dynamic calibration model based on neural network by using MATLAB neural network toolbox. Taking the testing samples as the research object, the prediction accuracy of neural network model is compared with the exponential fitting model and the second-order polynomial fitting model. The results show that prediction of the neural network model is most close to the testing samples, and the accuracy of prediction model based on neural network is better than 0.5%, respectively one order higher than the second-order polynomial fitting model and two orders higher than the exponential fitting model. The quasi-dynamic calibration model between pressure peak and deformation of plastic sensitive element, which is based on neural network, provides important basis for creating higher accuracy quasi-dynamic calibration table.

  2. Direct2Experts: a pilot national network to demonstrate interoperability among research-networking platforms

    Science.gov (United States)

    Barnett, William; Conlon, Mike; Eichmann, David; Kibbe, Warren; Falk-Krzesinski, Holly; Halaas, Michael; Johnson, Layne; Meeks, Eric; Mitchell, Donald; Schleyer, Titus; Stallings, Sarah; Warden, Michael; Kahlon, Maninder

    2011-01-01

    Research-networking tools use data-mining and social networking to enable expertise discovery, matchmaking and collaboration, which are important facets of team science and translational research. Several commercial and academic platforms have been built, and many institutions have deployed these products to help their investigators find local collaborators. Recent studies, though, have shown the growing importance of multiuniversity teams in science. Unfortunately, the lack of a standard data-exchange model and resistance of universities to share information about their faculty have presented barriers to forming an institutionally supported national network. This case report describes an initiative, which, in only 6 months, achieved interoperability among seven major research-networking products at 28 universities by taking an approach that focused on addressing institutional concerns and encouraging their participation. With this necessary groundwork in place, the second phase of this effort can begin, which will expand the network's functionality and focus on the end users. PMID:22037890

  3. Multiobjective training of artificial neural networks for rainfall-runoff modeling

    NARCIS (Netherlands)

    De Vos, N.J.; Rientjes, T.H.M.

    2008-01-01

    This paper presents results on the application of various optimization algorithms for the training of artificial neural network rainfall-runoff models. Multilayered feed-forward networks for forecasting discharge from two mesoscale catchments in different climatic regions have been developed for

  4. Navigating Social Networking and Social Media in School Psychology: Ethical and Professional Considerations in Training Programs

    Science.gov (United States)

    Pham, Andy V.

    2014-01-01

    Social networking and social media have undoubtedly proliferated within the past decade, allowing widespread communication and dissemination of user-generated content and information. Some psychology graduate programs, including school psychology, have started to embrace social networking and media for instructional and training purposes; however,…

  5. Research Funding, Patent Search Training and Technology Transfer: a collaboration

    KAUST Repository

    Tyhurst, Janis

    2016-01-01

    This paper will focus on the collaboration efforts of three different university departments to create, teach and evaluate the benefits of a joint patent training series, as well as the future directions this collaboration will take. KAUST has as one of its goals the diversification of the Saudi economy. There is a strong focus at the university on developing entrepreneurial ideas and commercializing research done. The University Library supports this goal through the provision of electronic resources and introductory patent search training skills. However, the patent training class offered by the University Library is only one step in a process that faculty and students need when starting or taking their research to the next level. In the Fall of 2015, I met with representatives of the two major stakeholders in the patent arena, the office of Sponsored Research (OSR) and the Technology Transfer Office (TTO), to develop a patent training program to meet the needs of researchers. The OSR provides funding to researchers who have demonstrated that their ideas have merit with potential applications, the TTO works with researchers who are at the point of needing IP protection. The resulting discussion led us to collaborate on creating a workshop series that benefit the researcher’s information needs and each of our departments as well. In the first of the series of three 2 hour workshops, the Manager of TTO and the Lead Integrative Specialist from the OSR presented a workshop on an overview of Intellectual Property and the patenting process. These presentations focused on when and how to determine whether research is potentially patentable, why a researcher needs to protect his/her research and how to go about protecting it. The second workshop focused on introductory patent search skills and tools, how to expand a literature search to include the information found in patents, and how this kind of research will improve not only the literature search but the research

  6. Detecting and analyzing research communities in longitudinal scientific networks.

    Directory of Open Access Journals (Sweden)

    Valerio Leone Sciabolazza

    Full Text Available A growing body of evidence shows that collaborative teams and communities tend to produce the highest-impact scientific work. This paper proposes a new method to (1 Identify collaborative communities in longitudinal scientific networks, and (2 Evaluate the impact of specific research institutes, services or policies on the interdisciplinary collaboration between these communities. First, we apply community-detection algorithms to cross-sectional scientific collaboration networks and analyze different types of co-membership in the resulting subgroups over time. This analysis summarizes large amounts of longitudinal network data to extract sets of research communities whose members have consistently collaborated or shared collaborators over time. Second, we construct networks of cross-community interactions and estimate Exponential Random Graph Models to predict the formation of interdisciplinary collaborations between different communities. The method is applied to longitudinal data on publication and grant collaborations at the University of Florida. Results show that similar institutional affiliation, spatial proximity, transitivity effects, and use of the same research services predict higher degree of interdisciplinary collaboration between research communities. Our application also illustrates how the identification of research communities in longitudinal data and the analysis of cross-community network formation can be used to measure the growth of interdisciplinary team science at a research university, and to evaluate its association with research policies, services or institutes.

  7. A study on hepatitis disease diagnosis using multilayer neural network with levenberg marquardt training algorithm.

    Science.gov (United States)

    Bascil, M Serdar; Temurtas, Feyzullah

    2011-06-01

    In this study, a hepatitis disease diagnosis study was realized using neural network structure. For this purpose, a multilayer neural network structure was used. Levenberg-Marquardt algorithm was used as training algorithm for the weights update of the neural network. The results of the study were compared with the results of the previous studies reported focusing on hepatitis disease diagnosis and using same UCI machine learning database. We obtained a classification accuracy of 91.87% via tenfold cross validation.

  8. Training Neural Networks Based on Imperialist Competitive Algorithm for Predicting Earthquake Intensity

    OpenAIRE

    Moradi, Mohsen

    2017-01-01

    In this study we determined neural network weights and biases by Imperialist Competitive Algorithm (ICA) in order to train network for predicting earthquake intensity in Richter. For this reason, we used dependent parameters like earthquake occurrence time, epicenter's latitude and longitude in degree, focal depth in kilometer, and the seismological center distance from epicenter and earthquake focal center in kilometer which has been provided by Berkeley data base. The studied neural network...

  9. Southern African Development Research Network | IDRC ...

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

    Members of the Southern Africa Development Community (SADC) are struggling to craft policies for fruitful integration into the global economy and inclusive growth. While some donor initiatives have been successful in meeting short-term policy needs, they are not sustainable solutions to a weak research and policy ...

  10. Research, Supervision, and the Network Society

    Science.gov (United States)

    Dennison, Carmel

    2009-01-01

    Much has been written about the use of information and communication technology (ICT) in distance learning environments. A quick Google search turns up as many as 178,000 links to the term. ICT has been less used and discussed as a means of communication between research student and supervisor--particularly where this is the major means of student…

  11. Education and Training, and Knowledge Networks for Capacity-Building in Nuclear Security

    International Nuclear Information System (INIS)

    Mrabit, Khammar

    2014-01-01

    Conclusions: • Capacity Building (CB) is critical for States to establish and maintain effective and sustainable nuclear security regime. • IAEA is a worldwide platform promoting international cooperation for CB in nuclear security involving more than 160 countries and over 20 Organizations and Initiatives. • IAEA Division of Nuclear Security is ready to continue supporting States in developing their CB through: – Comprehensive Training Programme: more than 80 training events annually – International Nuclear Security Training and Support Centre Network (NSSC) – Comprehensive Education Programme – International Nuclear Security Network (INSEN)

  12. Regional cross national networks for education and training in health

    DEFF Research Database (Denmark)

    Nøhr, Christian; Bygholm, Ann; Hejlesen, Ole

    The paper argues that the education activities in health informatics should be established in net-works covering regions with comparable health care systems involving one or more comparable countries.......The paper argues that the education activities in health informatics should be established in net-works covering regions with comparable health care systems involving one or more comparable countries....

  13. Hands-on Training Courses Using Research Reactors and Accelerators

    International Nuclear Information System (INIS)

    2014-01-01

    The enhancement of nuclear science education and training in all Member States is of interest to the IAEA since many of these countries, particularly in the developing world, are building up and expanding their scientific and technological infrastructures. Unfortunately, most of these countries still lack sufficient numbers of well-educated and qualified nuclear specialists and technologists. This may arise from, amongst other things: a lack of candidates with sufficient educational background in nuclear science who would qualify to receive specialized training; a lack of institutions available for training nuclear science specialists; a lack of lecturers in nuclear related fields; and a lack of suitable educational and teaching materials. A related concern is the potential loss of valuable knowledge accumulated over many decades due to the ageing workforce. An imperative for Member States is to develop and offer suitable graduate and postgraduate academic programmes which combine study and project work so that students can attain a prerequisite level of knowledge, abilities and skills in their chosen subject area. In nearly all academic programmes, experimental work forms an essential and integral component of study to help students develop general and subject specific skills. Experimental laboratory courses and exercises can mean practical work in a conventional laboratory or an advanced facility with an operational particle accelerator or research reactor often accompanied by computer simulations and theoretical exercises. In this context, available or newly planned research reactors and particle accelerators should be seen as extremely important and indispensable components of nuclear science and technology curricula. Research reactors can demonstrate nuclear science and technology based on nuclear fission and the interaction of neutrons and photons with matter, while particle accelerators can demonstrate nuclear science and technology based on charged particle

  14. Non-Linear State Estimation Using Pre-Trained Neural Networks

    DEFF Research Database (Denmark)

    Bayramoglu, Enis; Andersen, Nils Axel; Ravn, Ole

    2010-01-01

    This article presents a method to track non-Gaussian parametric probability density functions under nonlinear transformations and posterior calculations. The optimal set of parameters for the transformed distribution is a function of the parameters for the prior distribution and any other variables...... effecting the transformation. This function is approximated by a neural network using offline training. The training is based on monte carlo sampling. A way to obtain parametric distributions of flexible shape to be used easily with these networks is also presented. The method can also be used to improve...... other parametric methods around regions with strong non-linearities by including them inside the network....

  15. Network-Based Coordination of Civil-Service Training: Lessons from the Case of Estonia

    Directory of Open Access Journals (Sweden)

    Metsma Merilin

    2017-06-01

    Full Text Available The focus of this article is on the coordination of civil-service training in a decentralized civil-service system. The Estonian case is studied. The article investigates network-based coordination, analyzes the power sources of the central coordinator and discusses the opportunities and limitations of creating coherence through network-type cooperation. The article concludes that the key power sources for the central coordinator are financial, human and technical resources paired with knowledge, leadership and commitment. The case study shows that, in a decentralized civil service system, a common understanding on training and development can be fostered by intense collaboration through networks.

  16. South Carolina Area Health Education Consortium Disaster Preparedness and Response Training Network: an emerging partner in preparedness training.

    Science.gov (United States)

    Kennedy, Beth; Carson, Deborah Stier; Garr, David

    2009-03-01

    The South Carolina Area Health Education Consortium (SC AHEC) was funded in 2003 to train healthcare professionals in disaster preparedness and response. During the 5 years of funding, its Disaster Preparedness and Response Training Network evolved from disaster awareness training to competency-based instruction and performance assessment. With funding from the assistant secretary for preparedness and response (ASPR), a project with implications for national dissemination was developed to evaluate 2 aspects of preparedness training for community-based healthcare professionals. The SC AHEC designed disaster preparedness curricula and lesson plans, using a consensus-building technique, and then (1) distributed sample curricula and resources through the national Area Health Education Center system to assess an approach for providing preparedness training and (2) delivered a standardized preparedness curriculum to key influential thought leaders from 4 states to evaluate the effectiveness and acceptability of the curriculum. As a result of this project, the SC AHEC recommends that preparedness training for community-based practitioners needs to be concise and professionally relevant. It should be integrated into existing healthcare professions education programs and continuing education offerings. The project also demonstrated that although AHECs may be interested and well suited to incorporate preparedness training as part of their mission, more work needs to be done if they are to assume a prominent role in disaster preparedness training.

  17. Network Science Research Laboratory (NSRL) Telemetry Warehouse

    Science.gov (United States)

    2016-06-01

    providing efficient and responsive services to millions of simultaneous users. Seeing as their business model is largely dependent on maintaining its users...all of the most popular programming languages currently in use, including Java , Python, and C#. Work is underway to provide Python bindings to the...client library. NSRL researchers plan to develop Python and Java wrappers for this library. Sensors must obtain an experiment session token in

  18. Training a Network of Electronic Neurons for Control of a Mobile Robot

    Science.gov (United States)

    Vromen, T. G. M.; Steur, E.; Nijmeijer, H.

    An adaptive training procedure is developed for a network of electronic neurons, which controls a mobile robot driving around in an unknown environment while avoiding obstacles. The neuronal network controls the angular velocity of the wheels of the robot based on the sensor readings. The nodes in the neuronal network controller are clusters of neurons rather than single neurons. The adaptive training procedure ensures that the input-output behavior of the clusters is identical, even though the constituting neurons are nonidentical and have, in isolation, nonidentical responses to the same input. In particular, we let the neurons interact via a diffusive coupling, and the proposed training procedure modifies the diffusion interaction weights such that the neurons behave synchronously with a predefined response. The working principle of the training procedure is experimentally validated and results of an experiment with a mobile robot that is completely autonomously driving in an unknown environment with obstacles are presented.

  19. A Training Program in Breast Cancer Research Using NMR Techniques

    Science.gov (United States)

    2006-07-01

    mortality. Breast cancer can exist not only in the form of masses, but also in the forms of microcalcifications , asymmetric density, and architectural...treatment of breast cancer calls for early detection of cancerous lesions (e.g., clustered microcalcifications and masses associated with malignant...DAMD17-00-1-0291 TITLE: A Training Program in Breast Cancer Research Using NMR Techniques PRINCIPAL INVESTIGATOR: Paul C. Wang, Ph.D

  20. Fostering Research Engagement in Partnership Schools: Networking and Value Creation

    Science.gov (United States)

    Cornelissen, Frank; McLellan, Ros W.; Schofield, Jan

    2017-01-01

    The call for teachers and schools to become more research-engaged is resonating stronger than ever with government efforts to improve research impact and educational quality in the United Kingdom (UK) and many other countries. In these endeavors strengthening the social network structure and collegial relationships that enable collaborative…

  1. Networks of Practice in Science Education Research: A Global Context

    Science.gov (United States)

    Martin, Sonya N.; Siry, Christina

    2011-01-01

    In this paper, we employ cultural sociology and Braj Kachru's model of World Englishes as theoretical and analytical tools for considering English as a form of capital necessary for widely disseminating research findings from local networks of practice to the greater science education research community. We present a brief analysis of recent…

  2. Research Award: Information and Networks (I&N) Deadline ...

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

    arashid

    2011-09-12

    Sep 12, 2011 ... What role do collaborative technologies (e.g. social media) play in social innovation and change? Which policies and regulations are needed to sustain inclusive and innovative network societies? The research awardee is expected to be able to present his or her research plan and progress during the year ...

  3. Research Award: Information and Networks (I&N) Deadline: 12 ...

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

    Jean-Claude Dumais

    2012-09-12

    Sep 12, 2012 ... What role do collaborative technologies (e.g., social media) play in social innovation and change? • Which policies and regulations are needed to sustain inclusive and innovative network societies? The research awardee is expected to be able to present his/her research plan and progress during the year ...

  4. The Mind Research Network - Mental Illness Neuroscience Discovery Grant

    Energy Technology Data Exchange (ETDEWEB)

    Roberts, J. [The Mind Research Network, Albuquerque, NM (United States); Calhoun, V. [The Mind Research Network, Albuquerque, NM (United States)

    2013-12-17

    The scientific and technological programs of the Mind Research Network (MRN), reflect DOE missions in basic science and associated instrumentation, computational modeling, and experimental techniques. MRN's technical goals over the course of this project have been to develop and apply integrated, multi-modality functional imaging techniques derived from a decade of DOE-support research and technology development.

  5. Aging and Network Properties: Stability Over Time and Links with Learning during Working Memory Training

    Directory of Open Access Journals (Sweden)

    Alexandru D. Iordan

    2018-01-01

    Full Text Available Growing evidence suggests that healthy aging affects the configuration of large-scale functional brain networks. This includes reducing network modularity and local efficiency. However, the stability of these effects over time and their potential role in learning remain poorly understood. The goal of the present study was to further clarify previously reported age effects on “resting-state” networks, to test their reliability over time, and to assess their relation to subsequent learning during training. Resting-state fMRI data from 23 young (YA and 20 older adults (OA were acquired in 2 sessions 2 weeks apart. Graph-theoretic analyses identified both consistencies in network structure and differences in module composition between YA and OA, suggesting topological changes and less stability of functional network configuration with aging. Brain-wide, OA showed lower modularity and local efficiency compared to YA, consistent with the idea of age-related functional dedifferentiation, and these effects were replicable over time. At the level of individual networks, OA consistently showed greater participation and lower local efficiency and within-network connectivity in the cingulo-opercular network, as well as lower intra-network connectivity in the default-mode network and greater participation of the somato-sensorimotor network, suggesting age-related differential effects at the level of specialized brain modules. Finally, brain-wide network properties showed associations, albeit limited, with learning rates, as assessed with 10 days of computerized working memory training administered after the resting-state sessions, suggesting that baseline network configuration may influence subsequent learning outcomes. Identification of neural mechanisms associated with learning-induced plasticity is important for further clarifying whether and how such changes predict the magnitude and maintenance of training gains, as well as the extent and limits of

  6. The many facets of integrating data and metadata for research networks: experience from the AmeriFlux Network

    Science.gov (United States)

    Pastorello, G.; Poindexter, C.; van Ingen, C.; Papale, D.; Agarwal, D.

    2014-12-01

    Grassroots research networks, such as AmeriFlux, require data and metadata integration from multiple, independently managed field sites, scales, and science domains. The goal of these networks is production of consistent datasets enabling investigation of broad science questions at regional and global scales. These datasets combine data from a large number of data providers, who often utilize different data collection protocols and data processing approaches. In this scenario, data integration and curation quickly become large-scale efforts. This presentation reports on our experience with integration efforts for the AmeriFlux network. In AmeriFlux we are attempting to integrate flux, meteorological, biological, soil, chemistry, and disturbance data and metadata. Our data management activities range from acquisition/publication mechanisms, quality control, processing and product generation, data and software synchronized versioning and archiving, and interaction mechanisms and tools for data providers and data users. To enable consistent data processing and network-level data quality, combinations of automated and visual data quality assessment procedures were built, extending on checks already done at site levels. The implementation of community developed and trusted algorithms to operate in production mode proved to be a key aspect of data product generation, with extensive testing and validation being one of the main concerns. Clear definitions for data processing levels help with easily tracking different data products and data quality levels. For metadata and ancillary information, formatting standards are even more relevant, since variables collected are considerably more heterogeneous. Documentation and training on the standards were crucial in this case, with instruction sessions having proved to be an effective approach, given that documentation cannot cover all different scenarios at different sites. This work is being developed in close coordination with

  7. Networks as integrated in research methodologies in PER

    DEFF Research Database (Denmark)

    Bruun, Jesper

    2016-01-01

    In recent years a number of researchers within the PER community have started using network analysis as a new methodology to extend our understanding of teaching and learning physics by viewing these as complex systems. In this paper, I give examples of social, cognitive, and action mapping...... of using networks to create insightful maps of learning discussions. To conclude, I argue that conceptual blending is a powerful framework for constructing "mixed methods" methodologies that may integrate diverse theories and other methodologies with network methodologies....

  8. Analyzing Earth Science Research Networking through Visualizations

    Science.gov (United States)

    Hasnain, S.; Stephan, R.; Narock, T.

    2017-12-01

    Using D3.js we visualize collaboration amongst several geophysical science organizations, such as the American Geophysical Union (AGU) and the Federation of Earth Science Information Partners (ESIP). We look at historical trends in Earth Science research topics, cross-domain collaboration, and topics of interest to the general population. The visualization techniques used provide an effective way for non-experts to easily explore distributed and heterogeneous Big Data. Analysis of these visualizations provides stakeholders with insights into optimizing meetings, performing impact evaluation, structuring outreach efforts, and identifying new opportunities for collaboration.

  9. How is VR used to support training in industry? The INTUITION network of excellence working group on education and training

    NARCIS (Netherlands)

    Cobb, S.C.; Richir, S.; D'Cruz, M.; Klinger, E.; Day, A.; David, P.; Gardeux, F.; van den Broek, Egon; van der Voort, Mascha C.; Meijer, F.; Izkara, J.L.; Mavrikios, D.

    2008-01-01

    INTUITION is the European Network of Excellence on virtual reality and virtual environments applications for future workspaces. The purpose of the network is to gather expertise from partner members and determine the future research agenda for the development and use of virtual reality (VR)

  10. Interdisciplinary research and training program in the plant sciences

    Energy Technology Data Exchange (ETDEWEB)

    Wolk, C.P.

    1991-01-01

    This document is the compiled progress reports from the Interdisciplinary Research and Training Program in the Plant Sciences funded through the MSU-DOE Plant Research Laboratory. Fourteen reports are included, covering topics such as the molecular basis of plant/microbe symbiosis, cell wall proteins and assembly, gene expression, stress responses, growth regulator biosynthesis, interaction between nuclear and organelle genomes, sensory transduction and tropisms, intracellular sorting and membrane trafficking, regulation of lipid metabolism, the molecular basis of disease resistance and plant pathogenesis, developmental biology of Cyanobacteria and hormonal involvement in environmental control of plant growth. 132 refs. (MHB)

  11. Effects of isometric handgrip training in patients with cardiovascular disease: rationale and design of the ISOPRESS network

    Directory of Open Access Journals (Sweden)

    Breno Q. Farah

    2018-02-01

    Full Text Available Abstract Meta-analytical studies have indicated that isometric handgrip training promotes significant reduction in blood pressure in hypertensive patients with similar or greater decreases in blood pressure than observed after aerobic and dynamic resistance training. However, several gaps in the literature still need to be addressed. Thus, we designed the ISOPRESS network group, which consists of a task force of different research groups aimed at analyzing the effects of isometric handgrip training on different contexts, parameters, and populations. Thus, the aim of this study was to describe the rationale and design behind the ISOPRESS, presenting the methods employed. The ISOPRESS questions involve whether isometric handgrip training is effective in hypertensives in different settings (ISOPRESS 1 - unsupervised training and ISOPRESS 2 - public health system, whether it works in patients with other cardiovascular diseases (ISOPRESS 3 - obstructive sleep apnea and ISOPRESS 4 - peripheral artery disease and what are the mechanisms underlying the effects of isometric handgrip training in hypertensives (ISOPRESS 5 - neural mechanism. The study will yield information on the effectiveness of isometric handgrip training in different settings and patients with other cardiovascular diseases. Finally, it will help to understand the mechanisms involved in reducing blood pressure in hypertensives.

  12. Mentoring and Training of Cancer-Related Health Disparities Researchers Committed to Community-Based Participatory Research

    Science.gov (United States)

    Felder, Tisha M.; Braun, Kathryn L.; Brandt, Heather M.; Khan, Samira; Tanjasiri, Sora; Friedman, Daniela B.; Armstead, Cheryl A.; Okuyemi, Kolawole S.; Hébert, James R.

    2015-01-01

    Background and Objective The National Cancer Institute’s (NCI) Community Networks Program Centers (CNPCs) provide community-based participatory research (CBPR)-oriented mentoring and training to prepare early-stage/midcareer investigators and student trainees (trainees) in disparities reduction. This paper describes the academic, mentoring, training, and work–life balance experiences of CNPC-affiliated trainees. Methods We used a collaborative and iterative process to develop a 57-item, web-based questionnaire completed by trainees from the 23 CNPCs between August 2012 and February 2013. Their CNPC mentors completed a 47-item questionnaire. Descriptive statistics were calculated. Results The final analytic sample included 189 of 269 individuals (70%) identified as active participants in CNPC research or training/mentoring. Mentors (n = 45) were mostly non-Hispanic White (77.8%) and 48.9% were male. Mentors published a median of 6 (interquartile range [IQR], 3–12) first-authored and 15 (IQR, 6–25) senior authored manuscripts, and secured 15 (IQR, 11–29) grants from the National Institutes of Health (NIH) and other sources in the previous 5 years. Most trainees (n = 144) were female (79.2%), 43.7% were underrepresented racial/ethnic minorities, and 36.8% were first-generation college graduates. Over the previous 5 years, trainees reported a median of 4 (IQR, 1–6) publications as first author and 4 (IQR, 2–8) as co-author; 27.1% reported having one or more NIH R01s. Trainees reported satisfaction with their CNPC mentor (79.1%) and confidence in demonstrating most CBPR competencies. Conclusion The CNPC training program consists of a scientifically productive pool of mentors and trainees. Trainees reported rates of scholarly productivity comparable to other national training programs and provided insights into relationships with mentors, academic pressures, and professional–personal life balance. PMID:26213409

  13. The experiences of health services research and health services research training in Korea.

    Science.gov (United States)

    Moon, O R

    1984-12-01

    Early in the 1970s the Korean government recognized the necessity of Health Services Research (HSR). The law of the Korea Health Development Institute was promulgated in 1975, and a contribution from the Republic was combined with an Agency for International Development loan to field test low-cost health service strategies. A program to deploy Community Health Practitioners (CHPs), similar to family nurse practitioners or Medex has been demonstrated to be effective. The CHP training program grew from 9 in 1980 to 1343 in 1984. CHP's main functions are curative, preventive, educative, and administrative. They are selected registered nurses and/or midwives, where possible from serviced communities. They are trained in 24 weeks, including 12 weeks of clinical practice, in an anticipated recruiting post. CHPs help train village health volunteers (VHVs), who are literate women chosen by their communities. They work closely with the CHPs as a liaison with the village and in information gathering. An HSR orientation workshop held in Chuncheon in 1980, discussed role, policy, status, finance components, information systems, behavioral and manpower components, staff training, protocols for project development, HSR in the future and evaluation of the conference. In 1980, a National Workshop on Biomedical Research Methodology was also held, with World Health Organization and Korean consultants. Training of junior scientists would include introduction to scientific method, statement of problems, quantitative study technics, research proposals, and interpretation of results. The Korean Institute of Public Health sponsored a 1982 experts forum on the health care system, medical facilities, organizational management, financing and medical security, and health behavioral aspects. Training of trainers and lower level field workers, orientation of program managers, researchers, and communities themselves should all be training priorities. In future, CHPs should be refresher-trained

  14. Selecting radial basis function network centers with recursive orthogonal least squares training.

    Science.gov (United States)

    Gomm, J B; Yu, D L

    2000-01-01

    Recursive orthogonal least squares (ROLS) is a numerically robust method for solving for the output layer weights of a radial basis function (RBF) network, and requires less computer memory than the batch alternative. In this paper, the use of ROLS is extended to selecting the centers of an RBF network. It is shown that the information available in an ROLS algorithm after network training can be used to sequentially select centers to minimize the network output error. This provides efficient methods for network reduction to achieve smaller architectures with acceptable accuracy and without retraining. Two selection methods are developed, forward and backward. The methods are illustrated in applications of RBF networks to modeling a nonlinear time series and a real multiinput-multioutput chemical process. The final network models obtained achieve acceptable accuracy with significant reductions in the number of required centers.

  15. Charles Wagley's legacy of Interdisciplinary Graduate Research and Training Programs at the University of Florida

    Directory of Open Access Journals (Sweden)

    Marianne Schmink

    Full Text Available When Charles Wagley moved from Columbia University to the University of Florida (UF in 1972, he established the Tropical South America Program. In this program he began an enduring legacy at UF of interdisciplinarity, collaborative research and training focused on the problems and solutions of tropical development, and support for students as future leaders. Reaching out to agricultural researchers and other social science disciplines, Wagley later co-founded and directed the Amazon Research and Training Program (ARTP, and remained active even after his retirement in 1983. The ARTP built on Wagley's strategy of supporting student research and building collaboration with partners in Latin America, and innovated in bringing in visiting professors from different disciplines, developing new interdisciplinary courses, and networking among Amazonian scholars in different countries. Wagley's most lasting contribution is the Tropical Conservation and Development (TCD program, which grew out of the ARTP to become an internationally-recognized interdisciplinary graduate program focused on the intersection between biodiversity conservation and the well-being of people in the tropical world. Drawing on participation from over 100 faculty affiliates in 27 academic units at UF, since 1980 the ARTP and TCD programs have trained over 400 graduate students from two dozen countries.

  16. Centro TORTUGA's Integrated Research and Professional Development Training for Early Stage Hispanic Students in Puerto Rico

    Science.gov (United States)

    Moser, F. C.; Allen, M. R.; Barberena-Arias, M.; Clark, J.; Harris, L.; Maldonado, P. M.; Olivo-Delgado, C.; Pierson, J. J.

    2017-12-01

    Over the last five years our multidisciplinary team explored different undergraduate research and professional development (PD) strategies to improve early stage Hispanic student retention in marine science with the objective of interesting them in pursuing degrees that may ultimately lead to geoscience careers. This research led to the 2016 launch of our current project, Centro TORTUGA (Tropical Oceanography Research Training for Undergraduate Academics). Our overarching goal is to increase the number of underrepresented students from minority serving institutions in geoscience-relevant disciplines and careers. Critical to success is building a program rich in both research and PD. Based on qualitative and quantitative evaluations we found students benefited from PD efforts to increase skills in areas such as: 1) speaking and writing English; 2) science communication; 3) teamwork; 4) project management; and 5) completing internship/graduate school applications. To build student self-confidence, networking, and science skills Centro Tortuga involves students' families, bridges cultural gaps across research and non-research institutions inside and outside of Puerto Rico, and provides a gathering place (Centro TORTUGA) for students. With our partners, Universidad del Turabo (UT), Universidad Metropolitana (UMET), and University of Maryland Center for Environmental Sciences, we are now testing a 12-month integrated research and PD curriculum. Initial results suggest areas for improved student training include: 1) science communication (reports and graphs); 2) science ethics; and 3) poster and oral presentations. Students also identified specific preparation they would like included in the Centro TORTUGA curriculum.

  17. Collaborative research networks in health: a pragmatic scoping study for the development of an imaging network.

    Science.gov (United States)

    Robinson, Tracy Elizabeth; Rankin, Nicole; Janssen, Anna; Mcgregor, Deborah; Grieve, Stuart; Shaw, Timothy

    2015-12-09

    Collaborative research networks are often touted as a solution for enhancing the translation of knowledge, but questions remain about how to evaluate their impact on health service delivery. This pragmatic scoping study explored the enabling factors for developing and supporting a collaborative imaging network in a metropolitan university in Australia. An advisory group was established to provide governance and to identify key informants and participants. Focus group discussions (n = 2) and semi-structured interviews (n = 22) were facilitated with representatives from a broad range of disciplines. In addition, a survey, a review of relevant websites (n = 15) and a broad review of the literature were undertaken to elicit information on collaborative research networks and perceived needs and factors that would support their involvement in a multi-disciplinary collaborative research network. Findings were de-identified and broad themes were identified. Participants identified human factors as having priority for developing and sustaining a collaborative research network. In particular, leadership, a shared vision and a communication plan that includes social media were identified as crucial for sustaining an imaging network in health research. It is important to develop metrics that map relationships between network members and the role that communication tools can contribute to this process. This study confirms that human factors remain significant across a range of collaborative endeavours. The use of focus group discussions, interviews, and literature and website reviews means we can now strongly recommend the primacy of human factors. More work is needed to identify how the network operates and what specific indicators or metrics help build the capacity of clinicians and scientists to participate in translational research.

  18. Plant biology research and training for the 21st century

    Energy Technology Data Exchange (ETDEWEB)

    Kelly, K. (ed.)

    1992-01-01

    The committee was assembled in response to a request from the National Science Foundation (NSF), the US Department of Agriculture (USDA), and the US Department of Energy (DoE). The leadership of these agencies asked the National Academy of Sciences through the National Research Council (NRC) to assess the status of plant-science research in the United States in light of the opportunities arising from advances inother areas of biology. NRC was asked to suggest ways of accelerating the application of these new biologic concepts and tools to research in plant science with the aim of enhancing the acquisition of new knowledge about plants. The charge to the committee was to examine the following: Organizations, departments, and institutions conducting plant biology research; human resources involved in plant biology research; graduate training programs in plant biology; federal, state, and private sources of support for plant-biology research; the role of industry in conducting and supporting plant-biology research; the international status of US plant-biology research; and the relationship of plant biology to leading-edge research in biology.

  19. Plant biology research and training for the 21st century

    Energy Technology Data Exchange (ETDEWEB)

    Kelly, K. [ed.

    1992-12-31

    The committee was assembled in response to a request from the National Science Foundation (NSF), the US Department of Agriculture (USDA), and the US Department of Energy (DoE). The leadership of these agencies asked the National Academy of Sciences through the National Research Council (NRC) to assess the status of plant-science research in the United States in light of the opportunities arising from advances inother areas of biology. NRC was asked to suggest ways of accelerating the application of these new biologic concepts and tools to research in plant science with the aim of enhancing the acquisition of new knowledge about plants. The charge to the committee was to examine the following: Organizations, departments, and institutions conducting plant biology research; human resources involved in plant biology research; graduate training programs in plant biology; federal, state, and private sources of support for plant-biology research; the role of industry in conducting and supporting plant-biology research; the international status of US plant-biology research; and the relationship of plant biology to leading-edge research in biology.

  20. A multitarget training method for artificial neural network with application to computer-aided diagnosis.

    Science.gov (United States)

    Liu, Bei; Jiang, Yulei

    2013-01-01

    The authors propose a new training method for artificial neural networks (ANNs) in two-class classification tasks such as classifying breast lesions on a mammogram as malignant or benign. Whereas the conventional binary training method uses binary training target values based on the diagnostic truth of a lesion being malignant or benign, the authors use multiple training target values based on more detailed histological diagnosis that presumably are related to the posterior probability of a lesion being malignant. The authors performed Monte Carlo simulation studies in which training target values were assigned based on posterior probability, and they also performed a mammography study in which training target values were assigned according to histological subtypes. These studies showed that the multitarget training method produced less variability in the ANN outputs than the binary training method. The simulation studies also showed that except for when the number of training cases was extremely large, the multitarget training method produced improved overall classification performance over the binary training method. Therefore, the multitarget ANN training method is potentially useful for ANN applications in computer-aided diagnosis of breast cancer.

  1. U.S. NRC training for research and training reactor inspectors

    International Nuclear Information System (INIS)

    Sandquist, G.M.; Kunze, J.F.

    2011-01-01

    Currently, a large number of license activities (Early Site Permits, Combined Operating License, reactor certifications, etc.), are pending for review before the United States Nuclear Regulatory Commission (US NRC). Much of the senior staff at the NRC is now committed to these review and licensing actions. To address this additional workload, the NRC has recruited a large number of new Regulatory Staff for dealing with these and other regulatory actions such as the US Fleet of Research and Test Reactors (RTRs). These reactors pose unusual demands on Regulatory Staff since the US Fleet of RTRs, although few (32 Licensed RTRs as of 2010), they represent a broad range of reactor types, operations, and research and training aspects that nuclear reactor power plants (such as the 104 LWRs) do not pose. The US NRC must inspect and regulate all these entities. This paper addresses selected training topics and regulatory activities provided US NRC Inspectors for US RTRs. (author)

  2. Establishment and preliminary outcomes of a palliative care research network.

    Science.gov (United States)

    Hudson, Peter; Street, Annette; Graham, Suzanne; Aranda, Sanchia; O'Connor, Margaret; Thomas, Kristina; Jackson, Kate; Spruyt, Odette; Ugalde, Anna; Philip, Jennifer

    2016-02-01

    The difficulties in conducting palliative care research have been widely acknowledged. In order to generate the evidence needed to underpin palliative care provision, collaborative research is considered essential. Prior to formalizing the development of a research network for the state of Victoria, Australia, a preliminary study was undertaken to ascertain interest and recommendations for the design of such a collaboration. Three data-collection strategies were used: a cross-sectional questionnaire, interviews, and workshops. The questionnaire was completed by multidisciplinary palliative care specialists from across the state (n = 61); interviews were conducted with senior clinicians and academics (n = 21) followed by two stakeholder workshops (n = 29). The questionnaire was constructed specifically for this study, measuring involvement of and perceptions of palliative care research. Both the interview and the questionnaire data demonstrated strong support for a palliative care research network and aided in establishing a research agenda. The stakeholder workshops assisted with strategies for the formation of the Palliative Care Research Network Victoria (PCRNV) and guided the development of the mission and strategic plan. The research and efforts to date to establish the PCRNV are encouraging and provide optimism for the evolution of palliative care research in Australia. The international implications are highlighted.

  3. Computer technologies of future teachers of fine art training as an object of scientific educational research

    Directory of Open Access Journals (Sweden)

    Bohdan Cherniavskyi

    2017-03-01

    Full Text Available The article deals with computer technology training, highlights the current state ofcomputerization of educational process in teacher training colleges, reveals the specifictechniques of professional training of teachers of fine arts to use computer technology inteaching careers.Key words: Methods of professional training, professional activities, computertechnology training future teachers of Fine Arts, the subject of research.

  4. EARLINET: potential operationality of a research network

    Science.gov (United States)

    Sicard, M.; D'Amico, G.; Comerón, A.; Mona, L.; Alados-Arboledas, L.; Amodeo, A.; Baars, H.; Belegante, L.; Binietoglou, I.; Bravo-Aranda, J. A.; Fernández, A. J.; Fréville, P.; García-Vizcaíno, D.; Giunta, A.; Granados-Muñoz, M. J.; Guerrero-Rascado, J. L.; Hadjimitsis, D.; Haefele, A.; Hervo, M.; Iarlori, M.; Kokkalis, P.; Lange, D.; Mamouri, R. E.; Mattis, I.; Molero, F.; Montoux, N.; Muñoz, A.; Muñoz Porcar, C.; Navas-Guzmán, F.; Nicolae, D.; Nisantzi, A.; Papagiannopoulos, N.; Papayannis, A.; Pereira, S.; Preißler, J.; Pujadas, M.; Rizi, V.; Rocadenbosch, F.; Sellegri, K.; Simeonov, V.; Tsaknakis, G.; Wagner, F.; Pappalardo, G.

    2015-07-01

    In the framework of ACTRIS summer 2012 measurement campaign (8 June-17 July 2012), EARLINET organized and performed a controlled exercise of feasibility to demonstrate its potential to perform operational, coordinated measurements and deliver products in near-real time. Eleven lidar stations participated to the exercise which started on 9 July 2012 at 06:00 UT and ended 72 h later on 12 July at 06:00 UT. For the first time the Single-Calculus Chain (SCC), the common calculus chain developed within EARLINET for the automatic evaluation of lidar data from raw signals up to the final products, was used. All stations sent in real time measurements of 1 h of duration to the SCC server in a predefined netcdf file format. The pre-processing of the data was performed in real time by the SCC while the optical processing was performed in near-real time after the exercise ended. 98 and 84 % of the files sent to SCC were successfully pre-processed and processed, respectively. Those percentages are quite large taking into account that no cloud screening was performed on lidar data. The paper shows time series of continuous and homogeneously obtained products retrieved at different levels of the SCC: range-square corrected signals (pre-processing) and daytime backscatter and nighttime extinction coefficient profiles (optical processing), as well as combined plots of all direct and derived optical products. The derived products include backscatter- and extinction-related Ångström exponents, lidar ratios and color ratios. The combined plots reveal extremely valuable for aerosol classification. The efforts made to define the measurements protocol and to configure properly the SCC pave the way for applying this protocol for specific applications such as the monitoring of special events, atmospheric modelling, climate research and calibration/validation activities of spaceborne observations.

  5. Efficient probabilistic inference in generic neural networks trained with non-probabilistic feedback.

    Science.gov (United States)

    Orhan, A Emin; Ma, Wei Ji

    2017-07-26

    Animals perform near-optimal probabilistic inference in a wide range of psychophysical tasks. Probabilistic inference requires trial-to-trial representation of the uncertainties associated with task variables and subsequent use of this representation. Previous work has implemented such computations using neural networks with hand-crafted and task-dependent operations. We show that generic neural networks trained with a simple error-based learning rule perform near-optimal probabilistic inference in nine common psychophysical tasks. In a probabilistic categorization task, error-based learning in a generic network simultaneously explains a monkey's learning curve and the evolution of qualitative aspects of its choice behavior. In all tasks, the number of neurons required for a given level of performance grows sublinearly with the input population size, a substantial improvement on previous implementations of probabilistic inference. The trained networks develop a novel sparsity-based probabilistic population code. Our results suggest that probabilistic inference emerges naturally in generic neural networks trained with error-based learning rules.Behavioural tasks often require probability distributions to be inferred about task specific variables. Here, the authors demonstrate that generic neural networks can be trained using a simple error-based learning rule to perform such probabilistic computations efficiently without any need for task specific operations.

  6. Building capability through networking with investors and researchers

    DEFF Research Database (Denmark)

    Wang, Daojuan; Schøtt, Thomas

    A startup requires financing, typically, and the startup is based on innovation, often. Capabilities for innovation and financing may be built simultaneously and created jointly at inception. Co-creation of capabilities for financing and innovation is accounted for in this study. Co-creation is e......A startup requires financing, typically, and the startup is based on innovation, often. Capabilities for innovation and financing may be built simultaneously and created jointly at inception. Co-creation of capabilities for financing and innovation is accounted for in this study. Co......-creation is embedded in the network around the starting entrepreneur, we expect. Co-creation benefits from networking with potential investors and with researchers and inventors, we hypothesize, and especially by networking with both investors and researchers concurrently. Co-creation is analyzed in a sample...... of startups at inception, by 9,161 entrepreneurs, surveyed in Global Entrepreneurship Monitor in 49 countries. Co-creation is found to be reduced by the entrepreneur’s networking in the private sphere of family and friends, but to be benefiting from networking in the public sphere, especially by networking...

  7. AmeriFlux Measurement Network: Science Team Research

    Energy Technology Data Exchange (ETDEWEB)

    Law, B E

    2012-12-12

    Research involves analysis and field direction of AmeriFlux operations, and the PI provides scientific leadership of the AmeriFlux network. Activities include the coordination and quality assurance of measurements across AmeriFlux network sites, synthesis of results across the network, organizing and supporting the annual Science Team Meeting, and communicating AmeriFlux results to the scientific community and other users. Objectives of measurement research include (i) coordination of flux and biometric measurement protocols (ii) timely data delivery to the Carbon Dioxide Information and Analysis Center (CDIAC); and (iii) assurance of data quality of flux and ecosystem measurements contributed by AmeriFlux sites. Objectives of integration and synthesis activities include (i) integration of site data into network-wide synthesis products; and (ii) participation in the analysis, modeling and interpretation of network data products. Communications objectives include (i) organizing an annual meeting of AmeriFlux investigators for reporting annual flux measurements and exchanging scientific information on ecosystem carbon budgets; (ii) developing focused topics for analysis and publication; and (iii) developing data reporting protocols in support of AmeriFlux network goals.

  8. Training and research for implementation of health care system reform in Cambodia.

    Science.gov (United States)

    Schmidt-Ehry, G

    2000-01-01

    One important objective of Technical Co-operation is institutional strengthening. Human resource development is understood as a means of improving the implementation of health care system development and an important factor for sustainability. Health care system reform is also a concern in Cambodia, where it has suffered from a period of war and insecurity previously, and now is beginning to aim for long term development. The implementation of the reform started four years ago with external support. This paper will show how capacity can be built and services developed under the specific circumstances of Cambodia, with technical cooperation and support from neighbouring countries through the SEAMEO TROPMED network. Training courses have been developed and research studies have been conducted to strengthen the role of the National Institute of Public Health and to aim for quality improvement. In addition, impact of training to improve management at provincial/district level was measured.

  9. Undergraduate physiotherapy research training in south africa: the Medunsa experience

    Directory of Open Access Journals (Sweden)

    D. J. Mothabeng

    2002-01-01

    Full Text Available Background and Purpose: Research interest has increased in physiotherapy in the past two decades. During this period, the physiotherapy department at the Medical University of Southern Africa(MEDUNSA started its degree programme. The first undergraduateresearch projects (UGRP were produced in 1985. The purpose of this study was to analyze the UGRPs conducted between 1985 and 1999 in terms of methodological trends (qualitative versus quantitative and subject content.Methods: A retrospective analysis of the 114 UGRPs carried out in the department was conducted. The projects were read and analyzed according to methodology, research context and topic categories. The 15-year period was analyzed in three 5-year phases (1985 - 1989; 1990 - 1994 and 1995 - 1999, using descriptive statistics. Results: There was a gradual increase in the number of UGRPs during the study period in keeping with the increase in student numbers, with the last five years recording the highest number of projects. An interesting finding was a decline in experimental and clinical research, which was lowest in the last five years. Conclusion: The findings are paradoxical, given the need for experimental research to validate current clinical  practice. Non-experimental qualitative research is however important in the view of the national health plan.  A balance between qualitative and quantitative research is therefore important and must be emphasized in student training. Student research projects need to be maximally utilized to improve departmental research output.

  10. Gynecologic oncology training systems in Europe: a report from the European network of young gynaecological oncologists.

    Science.gov (United States)

    Gultekin, Murat; Dursun, Polat; Vranes, Boris; Laky, Rene; Bossart, Michaela; Grabowski, Jacek P; Piek, Jurgen M J; Manchanda, Ranjit; Grimm, Christoph; Dallaku, Kastriot; Babloyan, Syuzanna; Moisei, Anna; Van Gorp, Toon; Cadron, Isabelle; Markov, Peter; Micevska, Ana; Halaska, Michael; Steffensen, Karina Dahl; Gristsenko, Liidia; Nissi, Ritva; Lambaudie, Eric; Tsitsishvili, Zaza; Haidopoulos, Dimitrios; Tsolakidis, Dimitrios; Novak, Zoltan; Peiretti, Michele; Dunenova, Gauhar; Macuks, Ronalds; Hetland, Thea E; Michelsen, Trond M; Martins, Filipe C; Achimas-Cadariu, Patriciu; Ulrikh, Elena A; Uharcek, Peter; Malic, Sladjana; Ognjenovic, Dejan; Zapardiel, Ignacio; Johann, Silke; Sukhin, Vladyslav S; Manchanda, Ranjit

    2011-11-01

    The objectives of the study were to highlight some of the differences in training systems and opportunities for training in gynecologic oncology across Europe and to draw attention to steps that can be taken to improve training prospects and experiences of European trainees in gynecologic oncology. The European Network of Young Gynaecological Oncologists national representatives from 34 countries were asked to review and summarize the training system in their countries of origin and fulfill a mini-questionnaire evaluating different aspects of training. We report analysis of outcomes of the mini-questionnaire and subsequent discussion at the European Network of Young Gynaecological Oncologists national representatives Asian Pacific Organization for Cancer Prevention meeting in Istanbul (April 2010). Training fellowships in gynecologic oncology are offered by 18 countries (53%). The median duration of training is 2.5 years (interquartile range, 2.0-3.0 years). Chemotherapy administration is part of training in 70.5% (24/34) countries. Most of the countries (26/34) do not have a dedicated national gynecologic-oncology journal. All trainees reported some or good access to training in advanced laparoscopic surgical techniques, whereas 41% indicated no access, and 59% some access to training opportunities in robotic surgery. European countries were grouped into 3 different categories on the basis of available training opportunities in gynecologic oncology: well-structured, moderately structured, and loosely structured training systems. There is a need for further harmonization and standardization of training programs and structures in gynecologic oncology across Europe. This is of particular relevance for loosely structured countries that lag behind the moderately structured and well-structured ones.

  11. Propagating the Nephrology Research Workforce: A Kidney Research National Dialogue Training Commentary

    OpenAIRE

    Kohan, Donald E.; Parker, Mark G.; Furth, Susan L.; Hudson, Billy G.; Warburton, Karen M.; Rys-Sikora, Krystyna E.; Rankin, Tracy L.

    2014-01-01

    The National Institute of Diabetes and Digestive and Kidney Diseases conducted the Kidney Research National Dialogue as an interactive means to formulate and prioritize research goals necessary to address the needs of patients with renal disease. This commentary summarizes the discussion and priorities arising from the training domain of the dialogue and posits three overall strategies to broaden the nephrology research workforce pipeline. The community needs to recruit and provide support fo...

  12. Research on Degeneration Model of Neural Network for Deep Groove Ball Bearing Based on Feature Fusion

    Directory of Open Access Journals (Sweden)

    Lijun Zhang

    2018-02-01

    Full Text Available Aiming at the pitting fault of deep groove ball bearing during service, this paper uses the vibration signal of five different states of deep groove ball bearing and extracts the relevant features, then uses a neural network to model the degradation for identifying and classifying the fault type. By comparing the effects of training samples with different capacities through performance indexes such as the accuracy and convergence speed, it is proven that an increase in the sample size can improve the performance of the model. Based on the polynomial fitting principle and Pearson correlation coefficient, fusion features based on the skewness index are proposed, and the performance improvement of the model after incorporating the fusion features is also validated. A comparison of the performance of the support vector machine (SVM model and the neural network model on this dataset is given. The research shows that neural networks have more potential for complex and high-volume datasets.

  13. Research on the complex network of the UNSPSC ontology

    Science.gov (United States)

    Xu, Yingying; Zou, Shengrong; Gu, Aihua; Wei, Li; Zhou, Ta

    The UNSPSC ontology mainly applies to the classification system of the e-business and governments buying the worldwide products and services, and supports the logic structure of classification of the products and services. In this paper, the related technologies of the complex network were applied to analyzing the structure of the ontology. The concept of the ontology was corresponding to the node of the complex network, and the relationship of the ontology concept was corresponding to the edge of the complex network. With existing methods of analysis and performance indicators in the complex network, analyzing the degree distribution and community of the ontology, and the research will help evaluate the concept of the ontology, classify the concept of the ontology and improve the efficiency of semantic matching.

  14. Research Note: Networking Among Small and Medium-sized Enterprises

    DEFF Research Database (Denmark)

    Limborg, Hans Jørgen; Grøn, Sisse; Flensborg Jensen, Maya

    2014-01-01

    Researchers and regulatory bodies lack an in-depth understanding of how small and mediumsized enterprises (SMEs) make decisions about workplace health and safety improvements and the role played by business networks in these decisions. To improve regulation and support there is a need to understand...... SMEs better and, to create the means to empower them to work systematically with occupational health and safety. The present study suggests that networks of SMEs might be a suitable target for interventions. Realistic evaluation and social capital theory based on data obtained via qualitative...... interviews, document analysis and observations were used to analyse two networks of small enterprises (in dairy and brewery) in Denmark that launched similar occupational health projects but had different outcomes. Whilst both Dairy (D) and Brewery (B) networks had active external funding, the following...

  15. Training neural networks using sequential extended Kalman filtering

    Energy Technology Data Exchange (ETDEWEB)

    Plumer, E.S.

    1995-03-01

    Recent work has demonstrated the use of the extended Kalman filter (EKF) as an alternative to gradient-descent backpropagation when training multi-layer perceptrons. The EKF approach significantly improves convergence properties but at the cost of greater storage and computational complexity. Feldkamp et al. have described a decoupled version of the EKF which preserves the training advantages of the general EKF but which reduces the storage and computational requirements. This paper reviews the general and decoupled EKF approaches and presents sequentialized versions which provide further computational savings over the batch forms. The usefulness of the sequentialized EKF algorithms is demonstrated on a pattern classification problem.

  16. ENETRAP: European network on education and training in radiological protection

    International Nuclear Information System (INIS)

    Michele Coeck; Cecile Etard; Siegurd Moebius; Annemarie Schmitt-Hannig; Andrea Luciani; Jan van der Steen; Marisa Marco; Joanne Stewart; Jacques Balosso; Rosemary Thompson

    2006-01-01

    Recent studies have shown that there is a wide variety of approaches to education and training of the Qualified Expert across the EU. As they stand, such differences are a barrier to the mutual recognition of the Qualified Expert status and, in part, are contributing to a perceived shortage in expertise in radiation protection and safety. The overall aim of ENETRAP is to determine mechanisms that in the longer term will facilitate better integration of education and training activities (with a view to mutual recognition across the EU) and to ensure the ongoing provision of the necessary competence and expertise at the level of the Qualified Expert. (authors)

  17. NIHR Clinical Research Networks: what they do and how they help paediatric research.

    Science.gov (United States)

    Lythgoe, Hanna; Price, Victoria; Poustie, Vanessa; Attar, Sabah; Hawcutt, Daniel; Preston, Jennifer; Beresford, Michael W

    2017-08-01

    This review provides paediatricians with an update on the new structure of the National Institute for Health Research's (NIHR) Clinical Research Network (CRN): Children and its role within the wider NIHR infrastructure. The network supports delivery of high-quality research within the NHS in England and supports researchers, through provision of staff and resources, with feasibility, site set-up, patient recruitment and study management. Since 2013, over 80% of commercial contract studies running within the UK sat within the UKCRN Portfolio. Of the diverse, increasing portfolio of studies supported by the network, many studies are interventional, with 33% being randomised controlled studies. Recruitment to studies supported by the network through the Children's Portfolio has consistently improved. Over 200 000 participants have been recruited to the Children's Portfolio studies to date, and there are currently approximately 500 studies open to recruitment. The CRN: Children has successfully involved patients and the public in all aspects of study design and delivery, including through the work of Generation R. Challenges remain in conducting paediatric research and the network is committed to supporting Children's research and further building on its achievements to date. Education and engagement of paediatricians within the network and research is important to further improving quality and delivery of paediatric research. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  18. An Archival Research Comparing Learning Effectiveness and Training Transfer Perceptions between Classroom Technical Training and Synchronous Online Technical Training

    Science.gov (United States)

    Jordan, Charles L.

    2016-01-01

    Synchronous online training has become one of the preferred training modes for organizations. Despite organizations increasing their use of online training, there is still little data to confirm that synchronous online technical training is as effective as classroom technical training for training transfer. Although learning effectiveness between…

  19. Genetic algorithm-based neural network for accidents diagnosis of research reactors on FPGA

    International Nuclear Information System (INIS)

    Ghuname, A.A.A.

    2012-01-01

    The Nuclear Research Reactors plants are expected to be operated with high levels of reliability, availability and safety. In order to achieve and maintain system stability and assure satisfactory and safe operation, there is increasing demand for automated systems to detect and diagnose such failures. Artificial Neural Networks (ANNs) are one of the most popular solutions because of their parallel structure, high speed, and their ability to give easy solution to complicated problems. The genetic algorithms (GAs) which are search algorithms (optimization techniques), in recent years, have been used to find the optimum construction of a neural network for definite application, as one of the advantages of its usage. Nowadays, Field Programmable Gate Arrays (FPGAs) are being an important implementation method of neural networks due to their high performance and they can easily be made parallel. The VHDL, which stands for VHSIC (Very High Speed Integrated Circuits) Hardware Description Language, have been used to describe the design behaviorally in addition to schematic and other description languages. The description of designs in synthesizable language such as VHDL make them reusable and be implemented in upgradeable systems like the Nuclear Research Reactors plants. In this thesis, the work was carried out through three main parts.In the first part, the Nuclear Research Reactors accident's pattern recognition is tackled within the artificial neural network approach. Such patterns are introduced initially without noise. And, to increase the reliability of such neural network, the noise ratio up to 50% was added for training in order to ensure the recognition of these patterns if it introduced with noise.The second part is concerned with the construction of Artificial Neural Networks (ANNs) using Genetic algorithms (GAs) for the nuclear accidents diagnosis. MATLAB ANNs toolbox and GAs toolbox are employed to optimize an ANN for this purpose. The results obtained show

  20. 75 FR 57521 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Science.gov (United States)

    2010-09-21

    ... NATIONAL SCIENCE FOUNDATION Networking and Information Technology Research and Development (NITRD...) for Networking and Information Technology Research and Development (NITRD). ACTION: Notice, request.... SUMMARY: With this notice, the National Coordination Office for Networking and Information Technology...

  1. The human face of biobank networks for translational research.

    Science.gov (United States)

    Meir, Karen; Gaffney, Eoin F; Simeon-Dubach, Daniel; Ravid, Rivka; Watson, Peter H; Schacter, Brent; Morente And The Marble Arch International Working Group On Biobanking, Manuel M

    2011-09-01

    The biobanking literature frequently addresses donor and societal issues surrounding biobanking, but the biobanker's perspective is rarely highlighted. While not comprehensive, this article offers an overview of the human aspects of biobanking from the viewpoint of biobank personnel-from biobank formation, through the process, and in addressing post-biobanking issues. As every biobank and biobank network may differ, such factors may vary. Before biobanking can commence, the purpose of the biobank network must be defined, and buy-in achieved from many stakeholders. An attitude of trust and sharing is essential, as is good communication. Developing a biobank is time consuming and laborious. Forming a network requires significantly more time due to the need for cross-institutional harmonization of policies, procedures, information technology considerations, and ethics. Circumstances may dictate whether development occurs top-down and/or bottom-up, as well as whether network management may be independent or by personnel from participating biobanks. Funding tends to be a prominent issue for biobanks and networks alike. In particular, networks function optimally with some level of government support, particularly for personnel. Quality biospecimen collection involves meticulously documented coordination with a network of medical and nursing staff. Examining and sampling operative specimens requires timely collaboration between the surgical and pathology teams. "Catch rates" for samples may be difficult to predict and may occur at a frequency less than anticipated due to factors related to the institution, staff, or specimen. These factors may affect specimen quality, and have a downstream effect on competition for specimens for research. Thus, release of samples requires a fair, carefully constructed sample access policy, usually incorporating an incentive for researchers, and an encouragement to form collaborations. Finally, the public and patient groups should aim to

  2. The use and significance of a research networking system.

    Science.gov (United States)

    Kahlon, Maninder; Yuan, Leslie; Daigre, John; Meeks, Eric; Nelson, Katie; Piontkowski, Cynthia; Reuter, Katja; Sak, Rachael; Turner, Brian; Weber, Griffin M; Chatterjee, Anirvan

    2014-02-07

    Universities have begun deploying public Internet systems that allow for easy search of their experts, expertise, and intellectual networks. Deployed first in biomedical schools but now being implemented more broadly, the initial motivator of these research networking systems was to enable easier identification of collaborators and enable the development of teams for research. The intent of the study was to provide the first description of the usage of an institutional research "social networking" system or research networking system (RNS). Number of visits, visitor location and type, referral source, depth of visit, search terms, and click paths were derived from 2.5 years of Web analytics data. Feedback from a pop-up survey presented to users over 15 months was summarized. RNSs automatically generate and display profiles and networks of researchers. Within 2.5 years, the RNS at the University of California, San Francisco (UCSF) achieved one-seventh of the monthly visit rate of the main longstanding university website, with an increasing trend. Visitors came from diverse locations beyond the institution. Close to 75% (74.78%, 208,304/278,570) came via a public search engine and 84.0% (210 out of a sample of 250) of these queried an individual's name that took them directly to the relevant profile page. In addition, 20.90% (214 of 1024) visits went beyond the page related to a person of interest to explore related researchers and topics through the novel and networked information provided by the tool. At the end of the period analyzed, more than 2000 visits per month traversed 5 or more links into related people and topics. One-third of visits came from returning visitors who were significantly more likely to continue to explore networked people and topics (P<.001). Responses to an online survey suggest a broad range of benefits of using the RNS in supporting the research and clinical mission. Returning visitors in an ever-increasing pool of visitors to an RNS are

  3. A multi-radio, multi-hop ad-hoc radio communication network for Communications-Based Train Control (CBTC)

    DEFF Research Database (Denmark)

    Farooq, Jahanzeb; Bro, Lars; Karstensen, Rasmus Thystrup

    2018-01-01

    Communications-Based Train Control (CBTC) is a modern signalling system that uses radio communication to transfer train control information between train and wayside. The trackside networks in these systems are mostly based on conventional infrastructure Wi-Fi (IEEE 802.11). It means a train has ...

  4. How Research Training Will Shape the Future of Dental, Oral, and Craniofacial Research.

    Science.gov (United States)

    D'Souza, Rena N; Colombo, John S

    2017-09-01

    This is a critical time in the history of the dental profession for it to fully embrace the responsibility to safeguard its reputation as a learned profession. In this golden era of scientific and technological advances, opportunities abound to create new diagnostics, preventions, treatments, and cures to improve oral health. Dental schools are the largest national resource entrusted with the responsibility to educate, train, and retain oral health researchers who can leverage such technologies and research opportunities that will benefit the profession at large as well as patients. This article reemphasizes the theme that research training and scholarship must be inextricably woven into the environment and culture in dental schools to ensure the future standing of the profession. An overview of the history of support provided by the National Institutes of Health and National Institute of Dental and Craniofacial Research for the training and career development of dentist-scientists is presented. In addition, new data on the outcomes of such investments are presented along with a comparison with other health professions. This overview underscores the need to expand the capacity of a well-trained cadre of oral health researchers through the reengineering of training programs. Such strategies will best prepare future graduates for team science, clinical trials, and translational research as well as other emerging opportunities. The urgent need for national organizations like the American Dental Association, American Dental Education Association, and American Association for Dental Research to create new alliances and novel initiatives to assist dental schools and universities in fulfilling their research mission is emphasized. To ignore such calls for action is to disavow a valuable legacy inherited by the dental profession. This article was written as part of the project "Advancing Dental Education in the 21 st Century."

  5. RESEARCH CHALLENGES IN SCHOOLS TRAINING OF TEACHERS OF TLAXCALA

    Directory of Open Access Journals (Sweden)

    Darney Mendoza-Morales

    2014-07-01

    Full Text Available With the intention of keeping the status of educational research Forming Schools teachers in Tlaxcala, has initiated an diagnosis to define the challenges facing these institutions, mainly the Rural Normal School Lic Benito Juarez. This research is documentary, quantitative and qualitative, is still in process. area systematized information. Statistics of the Educational Services Unit of the State of Tlaxcala, the PEFEN 2011-2012 and Curriculum 2012 and also various policy documents, research data at national level and normal schools were reviewed. The first approach suggests that teacher training institutions face major challenges, which they can no longer delay therefore involves a reorganization of the activities developed by teachers and institutions.

  6. Advanced Scientific Computing Research Network Requirements: ASCR Network Requirements Review Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Bacon, Charles [Argonne National Lab. (ANL), Argonne, IL (United States); Bell, Greg [ESnet, Berkeley, CA (United States); Canon, Shane [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dart, Eli [ESnet, Berkeley, CA (United States); Dattoria, Vince [Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research (ASCR); Goodwin, Dave [Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research (ASCR); Lee, Jason [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Hicks, Susan [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Holohan, Ed [Argonne National Lab. (ANL), Argonne, IL (United States); Klasky, Scott [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Lauzon, Carolyn [Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research (ASCR); Rogers, Jim [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Shipman, Galen [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Skinner, David [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Tierney, Brian [ESnet, Berkeley, CA (United States)

    2013-03-08

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 25 years. In October 2012, ESnet and the Office of Advanced Scientific Computing Research (ASCR) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the ASCR program office. The requirements identified at the review are summarized in the Findings section, and are described in more detail in the body of the report.

  7. The Earth Science Research Network as Seen Through Network Analysis of the AGU

    Science.gov (United States)

    Narock, T.; Hasnain, S.; Stephan, R.

    2017-12-01

    Scientometrics is the science of science. Scientometric research includes measurements of impact, mapping of scientific fields, and the production of indicators for use in policy and management. We have leveraged network analysis in a scientometric study of the American Geophysical Union (AGU). Data from the AGU's Linked Data Abstract Browser was used to create a visualization and analytics tools to explore the Earth science's research network. Our application applies network theory to look at network structure within the various AGU sections, identify key individuals and communities related to Earth science topics, and examine multi-disciplinary collaboration across sections. Opportunities to optimize Earth science output, as well as policy and outreach applications, are discussed.

  8. Linking behavior in the physics education research coauthorship network

    Science.gov (United States)

    Anderson, Katharine A.; Crespi, Matthew; Sayre, Eleanor C.

    2017-06-01

    There is considerable long-term interest in understanding the dynamics of collaboration networks, and how these networks form and evolve over time. Most of the work done on the dynamics of social networks focuses on well-established communities. Work examining emerging social networks is rarer, simply because data are difficult to obtain in real time. In this paper, we use thirty years of data from an emerging scientific community to look at that crucial early stage in the development of a social network. We show that when the field was very young, islands of individual researchers labored in relative isolation, and the coauthorship network was disconnected. Thirty years later, rather than a cluster of individuals, we find a true collaborative community, bound together by a robust collaboration network. However, this change did not take place gradually—the network remained a loose assortment of isolated individuals until the mid 2000s, when those smaller parts suddenly knit themselves together into a single whole. In the rest of this paper, we consider the role of three factors in these observed structural changes: growth, changes in social norms, and the introduction of institutions such as field-specific conferences and journals. We have data from the very earliest years of the field, a period which includes the introduction of two different institutions: the first field-specific conference, and the first field-specific journals. We also identify two relevant behavioral shifts: a discrete increase in coauthorship coincident with the first conference, and a shift among established authors away from collaborating with outsiders, towards collaborating with each other. The interaction of these factors gives us insight into the formation of collaboration networks more broadly.

  9. Measuring Networking as an Outcome Variable in Undergraduate Research Experiences.

    Science.gov (United States)

    Hanauer, David I; Hatfull, Graham

    2015-01-01

    The aim of this paper is to propose, present, and validate a simple survey instrument to measure student conversational networking. The tool consists of five items that cover personal and professional social networks, and its basic principle is the self-reporting of degrees of conversation, with a range of specific discussion partners. The networking instrument was validated in three studies. The basic psychometric characteristics of the scales were established by conducting a factor analysis and evaluating internal consistency using Cronbach's alpha. The second study used a known-groups comparison and involved comparing outcomes for networking scales between two different undergraduate laboratory courses (one involving a specific effort to enhance networking). The final study looked at potential relationships between specific networking items and the established psychosocial variable of project ownership through a series of binary logistic regressions. Overall, the data from the three studies indicate that the networking scales have high internal consistency (α = 0.88), consist of a unitary dimension, can significantly differentiate between research experiences with low and high networking designs, and are related to project ownership scales. The ramifications of the networking instrument for student retention, the enhancement of public scientific literacy, and the differentiation of laboratory courses are discussed. © 2015 D. I. Hanauer and G. Hatfull. CBE—Life Sciences Education © 2015 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  10. Linking behavior in the physics education research coauthorship network

    Directory of Open Access Journals (Sweden)

    Katharine A. Anderson

    2017-05-01

    Full Text Available There is considerable long-term interest in understanding the dynamics of collaboration networks, and how these networks form and evolve over time. Most of the work done on the dynamics of social networks focuses on well-established communities. Work examining emerging social networks is rarer, simply because data are difficult to obtain in real time. In this paper, we use thirty years of data from an emerging scientific community to look at that crucial early stage in the development of a social network. We show that when the field was very young, islands of individual researchers labored in relative isolation, and the coauthorship network was disconnected. Thirty years later, rather than a cluster of individuals, we find a true collaborative community, bound together by a robust collaboration network. However, this change did not take place gradually—the network remained a loose assortment of isolated individuals until the mid 2000s, when those smaller parts suddenly knit themselves together into a single whole. In the rest of this paper, we consider the role of three factors in these observed structural changes: growth, changes in social norms, and the introduction of institutions such as field-specific conferences and journals. We have data from the very earliest years of the field, a period which includes the introduction of two different institutions: the first field-specific conference, and the first field-specific journals. We also identify two relevant behavioral shifts: a discrete increase in coauthorship coincident with the first conference, and a shift among established authors away from collaborating with outsiders, towards collaborating with each other. The interaction of these factors gives us insight into the formation of collaboration networks more broadly.

  11. Fogarty research ethics training programs in the Asia-Pacific: the merging of cultures.

    Science.gov (United States)

    Pratt, Bridget; Van, Cassandra; Trevorrow, Emily; Loff, Bebe

    2014-04-01

    In-depth interviews were undertaken with nine principal investigators and 16 former trainees from eight FIC programs recruiting trainees from the Asia-Pacific to assess the impact of training. Incorporation of new knowledge into teaching, research, and medical practice; advanced training; and ethics committee participation were the most common outcomes identified. When attempting to implement ethics activities posttraining, trainees often had to contend with opposition from more senior staff. Approaches that enhanced the cultural relevance of program content were identified as necessary, including comparing/contrasting non-Western principles and religions with Western bioethics, using region-specific case studies, and integrating clinical and research ethics. Best practices associated with program and trainee success included selecting more senior trainees clustered within Asia-Pacific institutions, offering a variety of degree and nondegree options, and post-training mentorship and networking support. This paper is part of a collection of papers analyzing the Fogarty International Center's International Research Ethics Education and Curriculum Development program.

  12. Modelling expected train passenger delays on large scale railway networks

    DEFF Research Database (Denmark)

    Landex, Alex; Nielsen, Otto Anker

    2006-01-01

    Forecasts of regularity for railway systems have traditionally – if at all – been computed for trains, not for passengers. Relatively recently it has become possible to model and evaluate the actual passenger delays by a passenger regularity model for the operation already carried out. First...

  13. Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks.

    Science.gov (United States)

    Cao, Weifang; Cao, Xinyi; Hou, Changyue; Li, Ting; Cheng, Yan; Jiang, Lijuan; Luo, Cheng; Li, Chunbo; Yao, Dezhong

    2016-01-01

    Neuroimaging studies have documented that aging can disrupt certain higher cognitive systems such as the default mode network (DMN), the salience network and the central executive network (CEN). The effect of cognitive training on higher cognitive systems remains unclear. This study used a 1-year longitudinal design to explore the cognitive training effect on three higher cognitive networks in healthy older adults. The community-living healthy older adults were divided into two groups: the multi-domain cognitive training group (24 sessions of cognitive training over a 3-months period) and the wait-list control group. All subjects underwent cognitive measurements and resting-state functional magnetic resonance imaging scanning at baseline and at 1 year after the training ended. We examined training-related changes in functional connectivity (FC) within and between three networks. Compared with the baseline, we observed maintained or increased FC within all three networks after training. The scans after training also showed maintained anti-correlation of FC between the DMN and CEN compared to the baseline. These findings demonstrated that cognitive training maintained or improved the functional integration within networks and the coupling between the DMN and CEN in older adults. Our findings suggested that multi-domain cognitive training can mitigate the aging-related dysfunction of higher cognitive networks.

  14. Applying a Network-Lens to Hospitality Business Research: A New Research Agenda

    Directory of Open Access Journals (Sweden)

    Florian AUBKE

    2014-06-01

    Full Text Available Hospitality businesses are first and foremost places of social interaction. This paper argues for an inclusion of network methodology into the tool kit of hospitality researchers. This methodology focuses on the interaction of people rather than applying an actor-focused view, which currently seems dominant in hospitality research. Outside the field, a solid research basis has been formed, upon which hospitality researchers can build. The paper introduces the foundations of network theory and its applicability to the study of organizations. A brief methodological introduction is provided and potential applications and research topics relevant to the hospitality field are suggested.

  15. The importance of project networking for the replacement research reactor

    International Nuclear Information System (INIS)

    Whitbourn, G.

    2003-01-01

    When the HIFAR research reactor was commissioned in 1958 it was both constructed and regulated by the then Australian Atomic Energy Commission. The situation now is much more complicated, with an independent regulator, The Australian Radiation Protection and Nuclear Safety Agency (ARPANSA) and oversight by national security agencies and the Australian Safeguards and Non proliferation Organisation (ASNO). In July 2000 ANSTO contracted INVAP SE a suitably qualified and experienced nuclear organisation based in Argentina to provide the Replacement Research Reactor (RRR). INVAP subcontracted an Australian entity, a joint venture between John Holland and Evans Deakin Industries (JHEDI) to provide resources in Australia. There is an international network of over 100 subcontractors providing services, products and materials to INVAP and JHEDI and a significant number of contractors providing project support services to ANSTO. The interaction of all these entities to provide the RRR is a significant networking challenge, involving a complex network of legal, contractual and functional relationships and communication processes

  16. Networking of theories as a research practice in mathematics education

    CERN Document Server

    Bikner-Ahsbahs, Angelika

    2014-01-01

    How can we deal with the diversity of theories in mathematics education This was the main question that led the authors of this book to found the Networking Theories Group. Starting from the shared assumption that the existence of different theories is a resource for mathematics education research, the authors have explored the possibilities of interactions between theories, such as contrasting, coordinating, and locally integrating them. The book explains and illustrates what it means to network theories; it presents networking as a challenging but fruitful research practice and shows how the Group dealt with this challenge considering five theoretical approaches, namely the approach of Action, Production, and Communication (APC), the Theory of Didactical Situations (TDS), the Anthropological Theory of the Didactic (ATD), the approach of Abstraction in Context (AiC), and the Theory of Interest-Dense Situations (IDS). A synthetic presentation of each theory and their connections shows how the activity of netw...

  17. Mindfulness meditation research: issues of participant screening, safety procedures, and researcher training.

    Science.gov (United States)

    Lustyk, M Kathleen B; Chawla, Neharika; Nolan, Roger S; Marlatt, G Alan

    2009-01-01

    Increasing interest in mindfulness meditation (MM) warrants discussion of research safety. Side effects of meditation with possible adverse reactions are reported in the literature. Yet participant screening procedures, research safety guidelines, and standards for researcher training have not been developed and disseminated in the MM field of study. The goal of this paper is to summarize safety concerns of MM practice and offer scholars some practical tools to use in their research. For example, we offer screener schematics aimed at determining the contraindication status of potential research participants. Moreover, we provide information on numerous MM training options. Ours is the first presentation of this type aimed at helping researchers think through the safety and training issues presented herein. Support for our recommendations comes from consulting 17 primary publications and 5 secondary reports/literature reviews of meditation side effects. Mental health consequences were the most frequently reported side effects, followed by physical health then spiritual health consequences. For each of these categories of potential adverse effects, we offer MM researchers methods to assess the relative risks of each as it pertains to their particular research programs.

  18. Use of research reactors for training and teaching nuclear sciences

    International Nuclear Information System (INIS)

    Safieh, J.; Gless, B.

    2002-01-01

    Training activities on reactors are organized by Cea on 2 specially dedicated reactors Ulysse (Saclay) and Siloette (Grenoble) and 2 research reactors Minerve (Cadarache) and Azur (Cadarache, facility managed by Technicatome). About 4000 students have been trained on Ulysse since its commissioning more than 40 years ago. The concept that led to the design of Ulysse was to build a true reactor dedicated to teaching and training activities and that was able to operate with great flexibility and under high conditions of safety, this reactor is inspired from the Argonaut-type reactor. The main specificities of Ulysse are: a nominal power of 100 kW, a maximal thermal neutron flux of 1.4 10 12 n.cm -2 .s -1 , a 90 % enriched fuel, a graphite reflector, the use of water as coolant and moderator, and 6 cadmium plates as control rods. Ulysse allows students to get practical experience on a large range of topics: approach to criticality, effect of the starting neutron source, calibration of control rods, distribution of the neutron flux in the thermal column, temperature coefficient, radiation detectors, neutron activation analysis, and radioprotection. (A.C.)

  19. Stories in Networks and Networks in Stories: A Tri-Modal Model for Mixed-Methods Social Network Research on Teachers

    Science.gov (United States)

    Baker-Doyle, Kira J.

    2015-01-01

    Social network research on teachers and schools has risen exponentially in recent years as an innovative method to reveal the role of social networks in education. However, scholars are still exploring ways to incorporate traditional quantitative methods of Social Network Analysis (SNA) with qualitative approaches to social network research. This…

  20. Principles and Policies for International Coordination of Research Data Networks

    Science.gov (United States)

    Parsons, M. A.; Mokrane, M.; Sorvari, S.; Treloar, A.; Smith, C.

    2017-12-01

    International data networks enable the sharing of data within and between scientific disciplines and countries and thus provide the foundation for Open Science. Developing effective and sustainable international research data networks is critical for progress in many areas of research and for science to address complex global societal challenges. However, the development and maintenance of effective networks is not always easy, particularly in a context where public resources for science are limited and international cooperation is not a priority for many countries. The global landscape for data sharing in science is complex; many international data networks already exist and have highly variable structures. Some are linked to large intergovernmental research infrastructures, have highly developed centralized services and deal mainly with the data needs of single disciplines. Some are highly distributed, have much less rigid governance structures and provide access to data from many different domains. Most are somewhere between these two extremes and they cover different geographic regions, from regional to global. All provide a mix of data and associated data services which meets the needs of the research community to various extents and this provision depends on a mix of hardware, software, standards and protocols and human skills. These come together, working across national boundaries, in technical and social networks. In all of this, what makes a network function effectively or not is unclear. This means that there is also no simple answer to what can usefully be done at the policy level to promote the development of effective and sustainable data networks. Hence the rational for the present project - to study a variety of currently successful networks, explore the challenges that they are facing and the lessons that can be learned from confronting these challenges, and, where applicable, to translate this analysis into potential policy actions. Detailed

  1. Eleven years of net network research activity - inr contributions

    International Nuclear Information System (INIS)

    Deaconu, V.; Ionita, I.; Meleg, T.; Deaconu, M.; Truta, C.; Oncioiu, G.

    2013-01-01

    The European Network on Neutron Techniques Standardization for Structural Integrity (NeT) was established in 2002, grouping institutions from industry, research and academic media. Coordinated by the European Commission.s Joint Research Centre, the main mission of this network is to develop experimental and numerical techniques and standards for the reliable characterisation of residual stresses in structural welds. Each problem is tackled by creating a dedicated Task Group which manages measurement and modelling round robin studies and undertakes a thorough analysis and interpretation of the results. Over forty institutions are active NeT partners, their specific involvement and contributions being summarised in this paper. The Institute for Nuclear Research Pitesti (INR) is one of NeT founders and its contribution is related to numerical modelling, specimen analysis, material characterisation, data analysis or SANS support. This is also emphasised throughout this paper, together with the specific NeT research topics presentation. (authors)

  2. Digital networks to aid research and education in Africa

    CERN Multimedia

    2005-01-01

    Around 120 participants were assembled over two days at CERN to discuss ways to bridge the digital divide with Africa. As part of efforts to implement the outcome of the first World Summit on the Information Society (WSIS), held in Geneva in 2003, CERN held the international workshop on Research and Education Networks in Africa, from 25 to 27 September. Organized by the United Nations University (UNU) in collaboration with the International Telecommunications Union (ITU) and CERN, this meeting was designed to promote scientific cooperation with and within Africa, through the development of networking infrastructure. Faster, reliable and more affordable Internet access is widely recognized as one of the key factors for enhancing research and education efforts in African academic and research institutions. For the first time, this workshop brought together representatives of all the key stakeholders: African academic and research institutions, international coordinators, funding agencies, grass-roots imple...

  3. Using Action Research to Investigate Social Networking Technologies

    Science.gov (United States)

    Worrall, Lisa; Harris, Katy

    2013-01-01

    This article outlines the first cycle of an Action Research (AR) investigation into why professional learners are not using the Social Networking Technologies (SNTs) of their bespoke website. It presents the rationale of how this study came about, the ontological and epistemological stance of the authors and how this led to the particular choice…

  4. Higher Education Change and Social Networks: A Review of Research

    Science.gov (United States)

    Kezar, Adrianna

    2014-01-01

    This article reviews literature on the potential for understanding higher education change processes through social network analysis (SNA). In this article, the main tenets of SNA are reviewed and, in conjunction with organizational theory, are applied to higher education change to develop a set of hypotheses that can be tested in future research.

  5. Understanding the meaning of awareness in Research Networks

    NARCIS (Netherlands)

    Reinhardt, Wolfgang; Mletzko, Christian; Sloep, Peter; Drachsler, Hendrik

    2013-01-01

    Reinhardt, W., Mletzko, C., Sloep, P. B., & Drachsler, H. (2012). Understanding the meaning of awareness in Research Networks. In A. Moore, V. Pammer, L. Pannese, M. Prilla, K. Rajagopal, W. Reinhardt, Th. D. Ullman, & Ch. Voigt (Eds.), Proceedings of the 2nd Workshop on Awareness and Reflection in

  6. Decomposing social and semantic networks in emerging "big data" research

    NARCIS (Netherlands)

    Park, H.W.; Leydesdorff, L.

    2013-01-01

    This paper examines the structural patterns of networks of internationally co-authored SCI papers in the domain of research driven by big data and provides an empirical analysis of semantic patterns of paper titles. The results based on data collected from the DVD version of the 2011 SCI database

  7. Identification of Abnormal System Noise Temperature Patterns in Deep Space Network Antennas Using Neural Network Trained Fuzzy Logic

    Science.gov (United States)

    Lu, Thomas; Pham, Timothy; Liao, Jason

    2011-01-01

    This paper presents the development of a fuzzy logic function trained by an artificial neural network to classify the system noise temperature (SNT) of antennas in the NASA Deep Space Network (DSN). The SNT data were classified into normal, marginal, and abnormal classes. The irregular SNT pattern was further correlated with link margin and weather data. A reasonably good correlation is detected among high SNT, low link margin and the effect of bad weather; however we also saw some unexpected non-correlations which merit further study in the future.

  8. Interdependent networks - Topological percolation research and application in finance

    Science.gov (United States)

    Zhou, Di

    This dissertation covers the two major parts of my Ph.D. research: i) developing a theoretical framework of complex networks and applying simulation and numerical methods to study the robustness of the network system, and ii) applying statistical physics concepts and methods to quantitatively analyze complex systems and applying the theoretical framework to study real-world systems. In part I, we focus on developing theories of interdependent networks as well as building computer simulation models, which includes three parts: 1) We report on the effects of topology on failure propagation for a model system consisting of two interdependent networks. We find that the internal node correlations in each of the networks significantly changes the critical density of failures, which can trigger the total disruption of the two-network system. Specifically, we find that the assortativity within a single network decreases the robustness of the entire system. 2) We study the percolation behavior of two interdependent scale-free (SF) networks under random failure of 1-p fraction of nodes. We find that as the coupling strength q between the two networks reduces from 1 (fully coupled) to 0 (no coupling), there exist two critical coupling strengths q1 and q2 , which separate the behaviors of the giant component as a function of p into three different regions, and for q2 stock market indices and foreign exchange daily returns for 60 countries over the period of 1999-2012. We build a multi-layer network model based on different correlation measures, and introduce a dynamic network model to simulate and analyze the initializing and spreading of financial crisis. Using different computational approaches and econometric tests, we find atypical behavior of the cross correlations and community formations in the financial networks that we study during the financial crisis of 2008. For example, the overall correlation of stock market increases during crisis while the correlation between

  9. Encouraging student-driven clinical research in Germany: the CHIR-Net SIGMA network

    Directory of Open Access Journals (Sweden)

    Frey Pia-Elena

    2017-11-01

    Full Text Available Evidence should define and guide modern clinical care, yet many relevant questions in surgical practice remain unconfirmed by substantial data. Evidence-based medicine requires both the implementation of its principles in day-to-day work and the acquisition of new evidence preferably by randomized controlled trials and systematic reviews. Meaningful clinical research, however, is challenging to conduct, and its overall infrastructure in Germany was, until recently, considered poor compared to other leading countries. Although this has been significantly improved after the establishment of the Study Center of the German Surgical Society (SDGC and the surgical clinical trial network CHIR-Net, limited focus has been put on the training, teaching, and recruitment of medical students to become competent clinical researchers and clinician scientists. To ensure continuing comprehensive clinical research in surgery, CHIR-Net aims to establish a student-driven multicenter research network in Germany, which is embedded in both the national CHIR-Net and the pan-European and international frameworks. Student-Initiated German Medical Audits (SIGMA is a product of the strong collaboration between clinical scientists and medical trainees, enabling students to contribute to high-quality clinical trials. Additionally, participants are offered extensive training to support the next generation of research-active clinicians. Starting on 2018, SIGMA will perform its first multicenter observational study in Germany.

  10. Graduate students navigating social-ecological research: insights from the Long-Term Ecological Research Network

    Science.gov (United States)

    Sydne Record; Paige F. B. Ferguson; Elise Benveniste; Rose A. Graves; Vera W. Pfeiffer; Michele Romolini; Christie E. Yorke; Ben Beardmore

    2016-01-01

    Interdisciplinary, collaborative research capable of capturing the feedbacks between biophysical and social systems can improve the capacity for sustainable environmental decision making. Networks of researchers provide unique opportunities to foster social-ecological inquiry. Although insights into interdisciplinary research have been discussed elsewhere,...

  11. Promoting Cognitive Health: A Formative Research Collaboration of the Healthy Aging Research Network

    Science.gov (United States)

    Laditka, James N.; Beard, Renee L.; Bryant, Lucinda L.; Fetterman, David; Hunter, Rebecca; Ivey, Susan; Logsdon, Rebecca G.; Sharkey, Joseph R.; Wu, Bei

    2009-01-01

    Purpose: Evidence suggests that healthy lifestyles may help maintain cognitive health. The Prevention Research Centers Healthy Aging Research Network, 9 universities collaborating with their communities and the Centers for Disease Control and Prevention, is conducting a multiyear research project, begun in 2005, to understand how to translate this…

  12. Pap-smear Classification Using Efficient Second Order Neural Network Training Algorithms

    DEFF Research Database (Denmark)

    Ampazis, Nikolaos; Dounias, George; Jantzen, Jan

    2004-01-01

    In this paper we make use of two highly efficient second order neural network training algorithms, namely the LMAM (Levenberg-Marquardt with Adaptive Momentum) and OLMAM (Optimized Levenberg-Marquardt with Adaptive Momentum), for the construction of an efficient pap-smear test classifier. The alg......In this paper we make use of two highly efficient second order neural network training algorithms, namely the LMAM (Levenberg-Marquardt with Adaptive Momentum) and OLMAM (Optimized Levenberg-Marquardt with Adaptive Momentum), for the construction of an efficient pap-smear test classifier...

  13. A community of practice: librarians in a biomedical research network.

    Science.gov (United States)

    De Jager-Loftus, Danielle P; Midyette, J David; Harvey, Barbara

    2014-01-01

    Providing library and reference services within a biomedical research community presents special challenges for librarians, especially those in historically lower-funded states. These challenges can include understanding needs, defining and communicating the library's role, building relationships, and developing and maintaining general and subject specific knowledge. This article describes a biomedical research network and the work of health sciences librarians at the lead intensive research institution with librarians from primarily undergraduate institutions and tribal colleges. Applying the concept of a community of practice to a collaborative effort suggests how librarians can work together to provide effective reference services to researchers in biomedicine.

  14. The Effects of Long-term Abacus Training on Topological Properties of Brain Functional Networks.

    Science.gov (United States)

    Weng, Jian; Xie, Ye; Wang, Chunjie; Chen, Feiyan

    2017-08-18

    Previous studies in the field of abacus-based mental calculation (AMC) training have shown that this training has the potential to enhance a wide variety of cognitive abilities. It can also generate specific changes in brain structure and function. However, there is lack of studies investigating the impact of AMC training on the characteristics of brain networks. In this study, utilizing graph-based network analysis, we compared topological properties of brain functional networks between an AMC group and a matched control group. Relative to the control group, the AMC group exhibited higher nodal degrees in bilateral calcarine sulcus and increased local efficiency in bilateral superior occipital gyrus and right cuneus. The AMC group also showed higher nodal local efficiency in right fusiform gyrus, which was associated with better math ability. However, no relationship was significant in the control group. These findings provide evidence that long-term AMC training may improve information processing efficiency in visual-spatial related regions, which extend our understanding of training plasticity at the brain network level.

  15. Pharmacy practice-based research networks: do pharmacists need them?

    Science.gov (United States)

    Koshy, Samuel

    2014-12-01

    The aim of this article is to highlight the need for the development of pharmacy practice-based research networks (PBRNs). Large multicenter research projects that provide evidence for the provision of patient care services by pharmacists are required, which can be facilitated by pharmacy PBRNs. There is a growing need for pharmacy PBRNs, and the time is appropriate for pharmacists around the world to engage in the development of pharmacy PBRNs. © 2014 Royal Pharmaceutical Society.

  16. Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification

    OpenAIRE

    Hwang, Kyuyeon; Sung, Wonyong

    2015-01-01

    Connectionist temporal classification (CTC) based supervised sequence training of recurrent neural networks (RNNs) has shown great success in many machine learning areas including end-to-end speech and handwritten character recognition. For the CTC training, however, it is required to unroll (or unfold) the RNN by the length of an input sequence. This unrolling requires a lot of memory and hinders a small footprint implementation of online learning or adaptation. Furthermore, the length of tr...

  17. Engine cylinder pressure reconstruction using crank kinematics and recurrently-trained neural networks

    Science.gov (United States)

    Bennett, C.; Dunne, J. F.; Trimby, S.; Richardson, D.

    2017-02-01

    A recurrent non-linear autoregressive with exogenous input (NARX) neural network is proposed, and a suitable fully-recurrent training methodology is adapted and tuned, for reconstructing cylinder pressure in multi-cylinder IC engines using measured crank kinematics. This type of indirect sensing is important for cost effective closed-loop combustion control and for On-Board Diagnostics. The challenge addressed is to accurately predict cylinder pressure traces within the cycle under generalisation conditions: i.e. using data not previously seen by the network during training. This involves direct construction and calibration of a suitable inverse crank dynamic model, which owing to singular behaviour at top-dead-centre (TDC), has proved difficult via physical model construction, calibration, and inversion. The NARX architecture is specialised and adapted to cylinder pressure reconstruction, using a fully-recurrent training methodology which is needed because the alternatives are too slow and unreliable for practical network training on production engines. The fully-recurrent Robust Adaptive Gradient Descent (RAGD) algorithm, is tuned initially using synthesised crank kinematics, and then tested on real engine data to assess the reconstruction capability. Real data is obtained from a 1.125 l, 3-cylinder, in-line, direct injection spark ignition (DISI) engine involving synchronised measurements of crank kinematics and cylinder pressure across a range of steady-state speed and load conditions. The paper shows that a RAGD-trained NARX network using both crank velocity and crank acceleration as input information, provides fast and robust training. By using the optimum epoch identified during RAGD training, acceptably accurate cylinder pressures, and especially accurate location-of-peak-pressure, can be reconstructed robustly under generalisation conditions, making it the most practical NARX configuration and recurrent training methodology for use on production engines.

  18. Training the Recurrent neural network by the Fuzzy Min-Max algorithm for fault prediction

    International Nuclear Information System (INIS)

    Zemouri, Ryad; Racoceanu, Daniel; Zerhouni, Noureddine; Minca, Eugenia; Filip, Florin

    2009-01-01

    In this paper, we present a training technique of a Recurrent Radial Basis Function neural network for fault prediction. We use the Fuzzy Min-Max technique to initialize the k-center of the RRBF neural network. The k-means algorithm is then applied to calculate the centers that minimize the mean square error of the prediction task. The performances of the k-means algorithm are then boosted by the Fuzzy Min-Max technique.

  19. Nonlinear Robust Observer-Based Fault Detection for Networked Suspension Control System of Maglev Train

    OpenAIRE

    Li, Yun; He, Guang; Li, Jie

    2013-01-01

    A fault detection approach based on nonlinear robust observer is designed for the networked suspension control system of Maglev train with random induced time delay. First, considering random bounded time-delay and external disturbance, the nonlinear model of the networked suspension control system is established. Then, a nonlinear robust observer is designed using the input of the suspension gap. And the estimate error is proved to be bounded with arbitrary precision by adopting an appropria...

  20. Social working memory: neurocognitive networks and directions for future research.

    Science.gov (United States)

    Meyer, Meghan L; Lieberman, Matthew D

    2012-01-01

    Navigating the social world requires the ability to maintain and manipulate information about people's beliefs, traits, and mental states. We characterize this capacity as social working memory (SWM). To date, very little research has explored this phenomenon, in part because of the assumption that general working memory systems would support working memory for social information. Various lines of research, however, suggest that social cognitive processing relies on a neurocognitive network (i.e., the "mentalizing network") that is functionally distinct from, and considered antagonistic with, the canonical working memory network. Here, we review evidence suggesting that demanding social cognition requires SWM and that both the mentalizing and canonical working memory neurocognitive networks support SWM. The neural data run counter to the common finding of parametric decreases in mentalizing regions as a function of working memory demand and suggest that the mentalizing network can support demanding cognition, when it is demanding social cognition. Implications for individual differences in social cognition and pathologies of social cognition are discussed.

  1. Assessing citation networks for dissemination and implementation research frameworks.

    Science.gov (United States)

    Skolarus, Ted A; Lehmann, Todd; Tabak, Rachel G; Harris, Jenine; Lecy, Jesse; Sales, Anne E

    2017-07-28

    A recent review of frameworks used in dissemination and implementation (D&I) science described 61 judged to be related either to dissemination, implementation, or both. The current use of these frameworks and their contributions to D&I science more broadly has yet to be reviewed. For these reasons, our objective was to determine the role of these frameworks in the development of D&I science. We used the Web of Science™ Core Collection and Google Scholar™ to conduct a citation network analysis for the key frameworks described in a recent systematic review of D&I frameworks (Am J Prev Med 43(3):337-350, 2012). From January to August 2016, we collected framework data including title, reference, publication year, and citations per year and conducted descriptive and main path network analyses to identify those most important in holding the current citation network for D&I frameworks together. The source article contained 119 cited references, with 50 published articles and 11 documents identified as a primary framework reference. The average citations per year for the 61 frameworks reviewed ranged from 0.7 to 103.3 among articles published from 1985 to 2012. Citation rates from all frameworks are reported with citation network analyses for the framework review article and ten highly cited framework seed articles. The main path for the D&I framework citation network is presented. We examined citation rates and the main paths through the citation network to delineate the current landscape of D&I framework research, and opportunities for advancing framework development and use. Dissemination and implementation researchers and practitioners may consider frequency of framework citation and our network findings when planning implementation efforts to build upon this foundation and promote systematic advances in D&I science.

  2. European Nuclear Education Network Association - Support for nuclear education, training and knowledge management

    International Nuclear Information System (INIS)

    Ghitescu, Petre

    2009-01-01

    Developed in 2002-2003 the FP5 EURATOM project 'European Nuclear Engineering Network - ENEN' aimed to establish the basis for conserving nuclear knowledge and expertise, to create an European Higher Education Area for nuclear disciplines and to facilitate the implementation of the Bologna declaration in the nuclear disciplines. In order to ensure the continuity of the achievements and results of the ENEN project, on 22 September 2003, the European Nuclear Higher Education Area was formalized by creating the European Nuclear Education Network Association. ENEN Association goals are oriented towards universities by developing a more harmonized approach for education in the nuclear sciences and engineering in Europe, integrating European education and training in nuclear safety and radiation protection and achieving a better cooperation and sharing of resources and capabilities at the national and international level. At the same time it is oriented towards the end-users (industries, regulatory bodies, research centers, universities) by creating a secure basis of knowledge and skills of value to the EU. It maintains an adequate supply of qualified human resources for design, construction, operation and maintenance of nuclear infrastructures and plants. Also it maintains the necessary competence and expertise for the continued safe use of nuclear energy and applications of radiation in industry and medicine. In 2004-2005, 35 partners continued and expanded the started in FP 5 ENEN Association activities with the FP6 project 'NEPTUNO- Nuclear Education Platform for Training and Universities Organizations'. Thus ENEN established and implemented the European Master of Science in Nuclear Engineering, expanded its activities from education to training, organized and coordinated training sessions and pilot courses and included in its activities the Knowledge Management. At present, the ENEN Association gathers 45 universities, 7 research centers and one multinational company

  3. A community-based training program for eating disorders and its contribution to a provincial network of specialized services.

    Science.gov (United States)

    McVey, Gail L; Davis, Ron; Kaplan, Allan S; Katzman, Debra K; Pinhas, Leora; Geist, Rose; Heinmaa, Margus; Forsyth, Gail

    2005-01-01

    The Ontario Community Outreach Program for Eating Disorders is a pilot training project within the eating disorder programs at the University Health Network--Toronto General Hospital (TGH) and the Hospital for Sick Children. This system provides ongoing training, consultation, and research evaluation in areas ranging from prevention through to tertiary care, in the hopes of increasing the capacity of practitioners to respond to the healthcare pressures of those experiencing eating disorders. A total of 3,315 health care practitioners and educators in Ontario participated in community-based training workshops. A pre-post analysis of participants' self-report evaluations was conducted using chi-square analyses. The findings revealed that there was a statistically significant increase in participants' (a) knowledge of eating disorders and of body image issues and (b) level of comfort to either treat clients with eating disorders or teach a curriculum on body image. The contribution of the training program to the development of a provincial network of specialized eating disorder services, designed to promote the public's access to timely and appropriate care for the full spectrum of eating disorders, are discussed. 2005 by Wiley Periodicals, Inc.

  4. Asia-Pacific Research and Training Network on Trade (ARTNET ...

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

    Given the complexity of the trade and investment environment in the region, ARTNET will explore the interaction between trade, investment, competition and other domestic policies. ... Small and Medium Enterprises (SME) Adjustments to Information Technology (IT) in Trade Facilitation: The South Korean Experience.

  5. A MOOC approach for training researchers in developing countries

    Directory of Open Access Journals (Sweden)

    Ravi Murugesan

    2017-03-01

    Full Text Available We report on an online course in research writing offered in a massive open online course (MOOC format for developing country researchers. The concepts of cognitive presence, teacher presence, and social presence informed the design of the course, with a philosophy of strong social interaction supported by guest facilitators. The course was developed with low-bandwidth elements and hosted on a Moodle site. It was offered twice as a MOOC and 2830 learners from more than 90 countries, mainly in the developing world, took part. The average completion rate was 53%. Female learners and learners who were active in the forums were more likely to complete the course. Our MOOC approach may be a useful model for continuing professional development training in the developing world.

  6. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 35: The use of computer networks in aerospace engineering

    Science.gov (United States)

    Bishop, Ann P.; Pinelli, Thomas E.

    1995-01-01

    This research used survey research to explore and describe the use of computer networks by aerospace engineers. The study population included 2000 randomly selected U.S. aerospace engineers and scientists who subscribed to Aerospace Engineering. A total of 950 usable questionnaires were received by the cutoff date of July 1994. Study results contribute to existing knowledge about both computer network use and the nature of engineering work and communication. We found that 74 percent of mail survey respondents personally used computer networks. Electronic mail, file transfer, and remote login were the most widely used applications. Networks were used less often than face-to-face interactions in performing work tasks, but about equally with reading and telephone conversations, and more often than mail or fax. Network use was associated with a range of technical, organizational, and personal factors: lack of compatibility across systems, cost, inadequate access and training, and unwillingness to embrace new technologies and modes of work appear to discourage network use. The greatest positive impacts from networking appear to be increases in the amount of accurate and timely information available, better exchange of ideas across organizational boundaries, and enhanced work flexibility, efficiency, and quality. Involvement with classified or proprietary data and type of organizational structure did not distinguish network users from nonusers. The findings can be used by people involved in the design and implementation of networks in engineering communities to inform the development of more effective networking systems, services, and policies.

  7. Wireless networks and security issues, challenges and research trends

    CERN Document Server

    Pathan, Al-Sakib

    2013-01-01

     “Wireless Networks and Security” provides a broad coverage of wireless security issues including cryptographic coprocessors, encryption, authentication, key management, attacks and countermeasures, secure routing, secure medium access control, intrusion detection, epidemics, security performance analysis, security issues in applications. The contributions identify various vulnerabilities in the physical layer, MAC layer, network layer, transport layer, and application layer, and focus on ways of strengthening security mechanisms and services throughout the layers. This carefully edited monograph is targeting  for researchers, post-graduate students in universities, academics, and industry practitioners or professionals.  

  8. Effects of Actor-Network Theory in Accounting Research

    DEFF Research Database (Denmark)

    Justesen, Lise Nederland; Mouritsen, Jan

    2011-01-01

    of a critical literature review and discussion. Findings – Since the early 1990s, actor-network theory, particularly the work of Bruno Latour, has inspired accounting researchers and led to a number of innovative studies of accounting phenomena. In particular, Latour's book, Science in Action, has been...... number of accounting papers that apply actor-network theory. A different sample might have given a somewhat different picture. Furthermore, it focuses on the influence of Latour's work and refrains from discussing how the writings of Michel Callon, John Law or other thinkers within the actor...

  9. Interaction of multiple networks modulated by the working memory training based on real-time fMRI

    Science.gov (United States)

    Shen, Jiahui; Zhang, Gaoyan; Zhu, Chaozhe; Yao, Li; Zhao, Xiaojie

    2015-03-01

    Neuroimaging studies of working memory training have identified the alteration of brain activity as well as the regional interactions within the functional networks such as central executive network (CEN) and default mode network (DMN). However, how the interaction within and between these multiple networks is modulated by the training remains unclear. In this paper, we examined the interaction of three training-induced brain networks during working memory training based on real-time functional magnetic resonance imaging (rtfMRI). Thirty subjects assigned to the experimental and control group respectively participated in two times training separated by seven days. Three networks including silence network (SN), CEN and DMN were identified by the training data with the calculated function connections within each network. Structural equation modeling (SEM) approach was used to construct the directional connectivity patterns. The results showed that the causal influences from the percent signal changes of target ROI to the SN were positively changed in both two groups, as well as the causal influence from the SN to CEN was positively changed in experimental group but negatively changed in control group from the SN to DMN. Further correlation analysis of the changes in each network with the behavioral improvements showed that the changes in SN were stronger positively correlated with the behavioral improvement of letter memory task. These findings indicated that the SN was not only a switch between the target ROI and the other networks in the feedback training but also an essential factor to the behavioral improvement.

  10. Global health diplomacy training for military medical researchers.

    Science.gov (United States)

    Katz, Rebecca; Blazes, David; Bae, Jennifer; Puntambekar, Nisha; Perdue, Christopher L; Fischer, Julie

    2014-04-01

    Given the unprecedented growth of global health initiatives in the past decade, informal diplomacy between technical partners plays an increasingly important role in shaping opportunities and outcomes. This article describes a course developed and executed specifically to equip U.S. military health professionals with core skills in practical diplomacy critical to help them successfully plan and implement public health surveillance, research, and capacity building programs with partner nation governments and organizations. We identified core competencies in practical diplomacy for laboratory and public health researchers, catalogued and evaluated existing training programs, and then developed a pilot course in global health diplomacy for military medical researchers. The pilot course was held in June 2012, and focused on analyzing contemporary issues related to global health diplomacy through the framework of actors, drivers, and policies that affect public health research and capacity-building, beginning at the level of global health governance and cooperation and moving progressively to regional (supranational), national, and institutional perspective. This course represents an approach geared toward meeting the needs specific to U.S. military public health personnel and researchers working in international settings. Reprint & Copyright © 2014 Association of Military Surgeons of the U.S.

  11. Network of Research Infrastructures for European Seismology (NERIES)

    Science.gov (United States)

    van Eck, T.; Giardini, D.; Bossu, R.; Wiemer, S.

    2008-12-01

    NERIES (Network of Research Infrastructures for European Seismology) is an Integrated Infrastructure Initiative (I3) project within the Sixth Framework Programme of the European Commission (EC). The project consortium consists of 25 participants from 13 different European countries. It is currently the largest earth science project ever funded by the EC. The goal of NERIES is to integrate European seismological observatories and research institutes into one integrated cyber-infrastructure for seismological data serving the research community, civil protection authorities and the general public. The EC provides funds for the networking and research. The participants provide the necessary hardware investments, mostly through national resources. NERIES consists of 13 subprojects (networking and research activities) and 5 facilities providing access through grants (Transnational Access). The project is coordinated by ORFEUS in close cooperation with the EMSC. The individual subprojects address different issues such as: extension of the Virtual European Broadband Seismic Network (VEBSN) from 140 to about 500 stations, implementing the core European Integrated Waveform Data Archive (EIDA) consisting of ODC-KNMI, GFZ, INGV and IPGP and a distributed archive of historical Data. Providing access to data gathered by acceleration networks within Europe and its surroundings and deploys Ocean Bottom Seismometers in coordination with relevant Ocean bottom projects like ESONET. Tot facilitate access to this diverse and distributed data NERIES invests a significant portion of its resources to implementing a portal for which a beta release is planned to be release in the autumn of 2008. The research project main goal is to produce products and tools facilitating data interpretation and analysis. These tools include a European reference (velocity) model, real-time hazard tools, shakemaps and lossmaps, site response determination software and tools, and automatic tools to manage and

  12. On the use of harmony search algorithm in the training of wavelet neural networks

    Science.gov (United States)

    Lai, Kee Huong; Zainuddin, Zarita; Ong, Pauline

    2015-10-01

    Wavelet neural networks (WNNs) are a class of feedforward neural networks that have been used in a wide range of industrial and engineering applications to model the complex relationships between the given inputs and outputs. The training of WNNs involves the configuration of the weight values between neurons. The backpropagation training algorithm, which is a gradient-descent method, can be used for this training purpose. Nonetheless, the solutions found by this algorithm often get trapped at local minima. In this paper, a harmony search-based algorithm is proposed for the training of WNNs. The training of WNNs, thus can be formulated as a continuous optimization problem, where the objective is to maximize the overall classification accuracy. Each candidate solution proposed by the harmony search algorithm represents a specific WNN architecture. In order to speed up the training process, the solution space is divided into disjoint partitions during the random initialization step of harmony search algorithm. The proposed training algorithm is tested onthree benchmark problems from the UCI machine learning repository, as well as one real life application, namely, the classification of electroencephalography signals in the task of epileptic seizure detection. The results obtained show that the proposed algorithm outperforms the traditional harmony search algorithm in terms of overall classification accuracy.

  13. European network for research in global change (ENRICH)

    Energy Technology Data Exchange (ETDEWEB)

    Ghazi, A. [European Commission, Bruxelles (Belgium). DG XII/JRC

    1995-12-31

    While approaching the beginning of the twenty first century, the scientific community is faced with the formidable tasks of monitoring and detecting, understanding and predicting changes in the Earth System and its interactions with human beings. A crucial challenge is to make scientific research results accessible and usable for those involved in the decision making process related to the concept of Sustainable Development. Major international scientific programmes under the umbrella of ICSU, such as the IGBP and WCRP, are dealing with these issues. Although there exist many well developed global change research programmes in several European countries and effective collaboration networks between research institutes, there is an urgent need for overall communication with a view to promoting wider international links ensuring complementarity, synergy and coherence. Recognizing the importance of promoting coherence in research and utilising research results for various European Union (EU) policies, the European Commissioner responsible for Science, Research and Development wrote in March 1992 to all the EU Research Ministers to propose an initiative in this domain. In a rapid response, a group of Senior Experts from the EU Member States was set up in April 1992. This Group established a Task Force to develop the concept of the European Network for Research In Global CHange (ENRICH) which was approved in July 1993

  14. Analyzing Enterprise Networks Needs: Action Research from the Mechatronics Sector

    Science.gov (United States)

    Cagnazzo, Luca; Taticchi, Paolo; Bidini, Gianni; Baglieri, Enzo

    New business models and theories are developing nowadays towards collaborative environments direction, and many new tools in sustaining companies involved in these organizations are emerging. Among them, a plethora of methodologies to analyze their needs are already developed for single companies. Few academic works are available about Enterprise Networks (ENs) need analysis. This paper presents the learning from an action research (AR) in the mechatronics sector: AR has been used in order to experience the issue of evaluating network needs and therefore define, develop, and test a complete framework for network evaluation. Reflection on the story in the light of the experience and the theory is presented, as well as extrapolation to a broader context and articulation of usable knowledge.

  15. The Nyanza Project: Interdisciplinary Research Training In Tropical Lakes

    Science.gov (United States)

    Cohen, A. S.; Lezzar, K. E.; Michel, E.; O'Reilly, C. M.; Russell, J. M.; Nkotagu, H.; Kimirei, I.

    2005-12-01

    The Nyanza Project is a research training program for American and African students, run annually at Lake Tanganyika (LT), Tanzania. The Project`s objective is to provide undergraduates, graduate students and secondary school teachers with the skills to plan and conduct interdisciplinary research on various aspects of tropical lake studiees. At a time of rapid global change there is a pressing need for young scientists trained to investigate environmental processes in an interdisciplinary framework. Training students to understand long-term changes in water availability, water quality and the relationship of aquatic ecosystems to rapid climate change represents a critical element of this societal need. Waterbodies in the tropics are particularly useful proving grounds for training future researchers on the impacts of global change on natural waters, as they are very sensitive to environmental and climatic change. Moreover, they are likely to provide instructive bellwethers of changes to come in U.S. inland waters. Each year 17-22 undergraduates, 3-4 graduate students and one secondary school teacher are selected for the program from the US and Africa. To date (1998-2005), 89 undergraduate students, 24 graduate students, and 8 secondary school teachers from the US have participated through the Project`s NSF support and 58 African students (from Tanzania, Burundi, Zambia, Congo, Kenya, and Burkina Faso) have been funded to participate in the Nyanza Project through supporting grants from our non-NSF funding sources. The 7-week program comprises an initial two week intensive short course on all aspects of the LT system and project preparation period, followed by 5 weeks of directed research, written report preparation, and scientific meeting-styled presentations. Focal topics for Nyanza Project research include: 1) investigating East African paleoclimates using sediment cores and reflection seismic profiling, 2) mapping & interpreting the geologic structure and

  16. Characterization of synchronized bursts in cultured hippocampal neuronal networks with learning training on microelectrode arrays.

    Science.gov (United States)

    Li, Yanling; Zhou, Wei; Li, Xiangning; Zeng, Shaoqun; Liu, Man; Luo, Qingming

    2007-06-15

    Spontaneous synchronized bursts seem to play a key role in brain functions such as learning and memory. Still controversial is the characterization of spontaneous synchronized bursts in neuronal networks after learning training, whether depression or promotion. By taking advantages of the main features of the microelectrode array (MEA) technology (i.e. multisite recordings, stable and long-term coupling with the biological preparation), we analyzed changes of spontaneous synchronized bursts in cultured hippocampal neuronal networks after learning training. And for this purpose, a learning model at networking level on MEA system was constructed, and analysis of spontaneous synchronized burst activity modulation was presented. Preliminary results show that, the number of burst was increased by 154%, burst duration was increased by 35%, and the number of spikes per burst was increased by 124%, while interburst interval decreased by 44% with learning. In particular, correlation and synchrony of neuronal activities in networks were enhanced by 51% and 36%, respectively, with learning. In contrast, dynamic properties of neuronal networks were not changed much when the network was under "non-learning" condition. These results indicate that firing, association and synchrony of spontaneous bursts in neuronal networks were promoted by learning. Furthermore, from these observations, we are encouraged to think of a more engineered system based on in vitro hippocampal neurons, as a novel sensitive system for electrophysiological evaluations.

  17. Trials and tribulations of clinical research teaching and training

    Directory of Open Access Journals (Sweden)

    Ravindra B Ghooi

    2010-01-01

    Full Text Available Clinical research institutions have mushroomed in the country, though there is a generalized lack of experienced faculty. These institutes mostly confine themselves to theoretical aspects of clinical research, since there is lack of facilities for practical training. Students passing out of these institutes often find it difficult to get decent jobs and salaries at the entry level in the industry are poor. Poor placements of graduating students become major barriers for attracting quality students to the courses. This in turn affects the quality of people that the industry requires, in order to ensure a high growth rate of the industry. The industry, in addition to facing a severe crunch of high quality professionals, is also suffering from attrition that is a common feature. This attrition stems from, inter alia the industry′s demand for experienced people at the entry level. To improve overall standards of professionals entering clinical research, institutes and the industry need to get together and work in close co-operation. The industry and the institutes need to take positive steps if recent trends have to be reversed and clinical research as a whole has to move to a higher level. This article is based on the perceptions of the author, about the problems faced and offers some suggestions. Though these perceptions represent the reality, it is difficult to provide hard evidence that they do so.

  18. Education and Training in Peace Research in Hamburg

    International Nuclear Information System (INIS)

    Goettsche, M.; Kalinowski, M.; Neuneck, G.

    2013-01-01

    In Hamburg, peace and security education is mainly offered by the Carl Friedrich von Weizsaecker Centre for Science and Peace Research at the University of Hamburg and the Institute for Peace Research and Security Policy. The former institute offers interdisciplinary lectures and seminars open for students from all faculties; the latter institute offers the Master of Peace and Security Studies programme. This paper introduces these education and training opportunities in Hamburg. Special emphasis is put on simulation conferences that are offered each semester, the summer school 'Young Scientists Cooperate for Peace' (SCooP) and the workshop 'Teaching Ethics and Peace to Science and Engineering Students'. Specific lectures from the 'Scientific contributions to peace research' series include disarmament, the non-proliferation regime and nuclear verification. Specific lectures from the 'Physical basics of peace research' series include neutron and gamma detectors for nuclear verification, satellite imagery, detection of signatures from banned nuclear activities from long distances, and material accounting of plutonium, HEU and tritium. The paper is followed by the slides of the presentation. (authors)

  19. Innovation in European Vocational Education and Training: Network Learning in England, Finland and Germany

    Science.gov (United States)

    Heikkila, Eila

    2013-01-01

    This article presents a comparative study of innovation in vocational education and training (VET) in three innovative European countries: England, Finland and Germany. The focus is on innovation emerging from VET practitioners' (directors, teachers, project coordinators, etc.) participation in inter-organisational networks with local, regional,…

  20. Radio Signal Augmentation for Improved Training of a Convolutional Neural Network

    Science.gov (United States)

    2016-09-01

    TECHNICAL REPORT 3055 September 2016 Radio Signal Augmentation for Improved Training of a Convolutional Neural Network Daniel...Security Branch Under authority of G. Settelmayer, Head Information Operations Division EXECUTIVE SUMMARY This technical report presents the...might recognize it across various mediums, even if brush strokes do not fundamentally resemble photographic pixels. 9 4. CONCLUSION The experiments

  1. Challenges, limits and possibilities of the telejournalism researchers network

    Directory of Open Access Journals (Sweden)

    Flávio Antônio Camargo Porcello

    2011-12-01

    Full Text Available This article proposes a theoretical reflection on the challenges, limits and possibilities of network research, with emphasis on the case of the Telejournalism Researchers Network of the Brazilian Association of Journalism Researchers (SBPJor. In addition to a brief historical account of the network´s years of existence, we will deal here with the publications already accomplished, the evolution of the empirical research works, the courses adopted and also the future plans for the amplification, in quantity and quality, of the commitments undertaken. The interaction between theory and practice has always been a basic milestone in the advancement of the group, composed of professors who have had professional activity in television broadcasting stations. TV enters into people´s lives and cannot be seen as a mere support for electronic communication. Telejournalism is an interdisciplinary field which should be studied in its discursive and enunciative aspects. This article will offer some theoretical contributions from authors such as Castells, Bauman, Chauraudeau, Thompson, Gomes and Mattos, among others, to help in shedding light on this path and stimulate the amplification of the theoretical debate proposed.

  2. Social working memory: Neurocognitive networks and directions for future research

    Directory of Open Access Journals (Sweden)

    Meghan L Meyer

    2012-12-01

    Full Text Available Navigating the social world requires the ability to maintain and manipulate information about people’s beliefs, traits, and mental states. We characterize this capacity as social working memory. To date, very little research has explored this phenomenon, in part because of the assumption that general working memory systems would support working memory for social information. Various lines of research, however, suggest that social cognitive processing relies on a neurocognitive network (i.e., the ‘mentalizing network’ that is functionally distinct from, and considered antagonistic with, the canonical working memory network. Here, we review evidence suggesting that demanding social cognition requires social working memory and that both the mentalizing and canonical working memory neurocognitive networks support social working memory. The neural data run counter to the common finding of parametric decreases in mentalizing regions as a function of working memory demand and suggest that the mentalizing network can support demanding cognition, when it is demanding social cognition. Implications for individual differences in social cognition and pathologies of social cognition are discussed.

  3. Can surgical simulation be used to train detection and classification of neural networks?

    Science.gov (United States)

    Zisimopoulos, Odysseas; Flouty, Evangello; Stacey, Mark; Muscroft, Sam; Giataganas, Petros; Nehme, Jean; Chow, Andre; Stoyanov, Danail

    2017-10-01

    Computer-assisted interventions (CAI) aim to increase the effectiveness, precision and repeatability of procedures to improve surgical outcomes. The presence and motion of surgical tools is a key information input for CAI surgical phase recognition algorithms. Vision-based tool detection and recognition approaches are an attractive solution and can be designed to take advantage of the powerful deep learning paradigm that is rapidly advancing image recognition and classification. The challenge for such algorithms is the availability and quality of labelled data used for training. In this Letter, surgical simulation is used to train tool detection and segmentation based on deep convolutional neural networks and generative adversarial networks. The authors experiment with two network architectures for image segmentation in tool classes commonly encountered during cataract surgery. A commercially-available simulator is used to create a simulated cataract dataset for training models prior to performing transfer learning on real surgical data. To the best of authors' knowledge, this is the first attempt to train deep learning models for surgical instrument detection on simulated data while demonstrating promising results to generalise on real data. Results indicate that simulated data does have some potential for training advanced classification methods for CAI systems.

  4. Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method.

    Science.gov (United States)

    Xie, Xiurui; Qu, Hong; Yi, Zhang; Kurths, Jurgen

    2017-06-01

    The spiking neural network (SNN) is the third generation of neural networks and performs remarkably well in cognitive tasks, such as pattern recognition. The temporal neural encode mechanism found in biological hippocampus enables SNN to possess more powerful computation capability than networks with other encoding schemes. However, this temporal encoding approach requires neurons to process information serially on time, which reduces learning efficiency significantly. To keep the powerful computation capability of the temporal encoding mechanism and to overcome its low efficiency in the training of SNNs, a new training algorithm, the accurate synaptic-efficiency adjustment method is proposed in this paper. Inspired by the selective attention mechanism of the primate visual system, our algorithm selects only the target spike time as attention areas, and ignores voltage states of the untarget ones, resulting in a significant reduction of training time. Besides, our algorithm employs a cost function based on the voltage difference between the potential of the output neuron and the firing threshold of the SNN, instead of the traditional precise firing time distance. A normalized spike-timing-dependent-plasticity learning window is applied to assigning this error to different synapses for instructing their training. Comprehensive simulations are conducted to investigate the learning properties of our algorithm, with input neurons emitting both single spike and multiple spikes. Simulation results indicate that our algorithm possesses higher learning performance than the existing other methods and achieves the state-of-the-art efficiency in the training of SNN.

  5. A research reactor simulator for operators training and teaching

    International Nuclear Information System (INIS)

    De Carvalho, R. P.; Maiorino, J. R.

    2006-01-01

    This work describes a training simulator of Research Reactors (RR). The simulator is an interactive tool for teaching and operator training of the bases of the RR operation, reactor physics and thermal hydraulics. The Brazilian IEA-R1 RR was taken as the reference (default configuration). The implementation of the simulator consists of the modeling of the process and system (neutronics, thermal hydraulics), its numerical solution, and the implementation of the man-machine interface through visual interactive screens. The point kinetics model was used for the nuclear process and the heat and mass conservation models were used for the thermal hydraulic feed back in the average core channel. The heat exchanger and cooling tower were also modeled. The main systems were: the reactivity control system, including the automatic control, and the primary and secondary coolant systems. The Visual C++ was used to codes and graphics lay-outs. The simulator is to be used in a PC with Windows XP system. The simulator allows simulation in real time of start up, power maneuver, and shut down. (authors)

  6. 75 FR 55360 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Science.gov (United States)

    2010-09-10

    ... NATIONAL SCIENCE FOUNDATION Networking and Information Technology Research and Development (NITRD... Information Technology Research and Development (NITRD). ACTION: Notice, request for public comment. FOR..., the National Coordination Office for Networking and Information Technology Research and Development...

  7. Network analysis to support research management: evidence from the Fiocruz Observatory in Science, Technology and Innovation in Health

    Energy Technology Data Exchange (ETDEWEB)

    Fonseca, B.; Sampaio, R.B.; Silva, M.V.; Dos Santos, P.X.

    2016-07-01

    Brazil has been encouraging the establishment of research networks to address strategic health issues in response to social demands, creating an urgent need to develop indicators for their evaluation. The Oswaldo Cruz Foundation (Fiocruz), a national research, training and production institution, has initiated the development of an “Observatory in Science, Technology and Innovation in Health” to monitor and evaluate research and technological development for the formulation of institutional policies. In this context, we are proposing the use of social network analysis to map cooperation in strategic areas of research, identify prominent researchers and support internal research networks. In this preliminary study, coauthorship analysis was used to map the cooperative relations of Fiocruz in tuberculosis (TB) research, an important public health issue for which diagnosis and adequate treatment are still challenging. Our findings suggest that Brazilian research organizations acting in TB research are embedded in highly connected networks. The large number of international organizations present in the Brazilian network reflects the global increase in scientific collaboration and Brazil’s engagement in international collaborative research efforts. Fiocruz frequent cooperation with high-income countries demonstrates its concern in benefiting from the access to facilities, funding, equipment and networks that are often limited in its research setting. Collaboration with high burden countries has to be strengthened, as it could improve access to local knowledge and better understanding of the disease in different endemic contexts. Centrality analysis consolidated information on the importance of Fiocruz in connecting TB research institutions in Brazil. Fiocruz Observatory intends to advance this analysis by looking into the mechanisms of collaboration, identifying priority themes and assessing comparative advantages of the network members, an important contribution

  8. Delegation of research governance to networks: research councils as multiple goal boundary organizations

    NARCIS (Netherlands)

    Klerkx, L.W.A.; Leeuwis, C.

    2009-01-01

    The delegation of research governance to networks is increasingly seen as a potential way to resolve the paradox in research fundingi, because it would reduce the direct influence of the state on funding policies, respect the independence of scientific institutions, foster `vigorous¿ scientific

  9. Learning to train neural networks for real-world control problems

    Science.gov (United States)

    Feldkamp, Lee A.; Puskorius, G. V.; Davis, L. I., Jr.; Yuan, F.

    1994-01-01

    Over the past three years, our group has concentrated on the application of neural network methods to the training of controllers for real-world systems. This presentation describes our approach, surveys what we have found to be important, mentions some contributions to the field, and shows some representative results. Topics discussed include: (1) executing model studies as rehearsal for experimental studies; (2) the importance of correct derivatives; (3) effective training with second-order (DEKF) methods; (4) the efficacy of time-lagged recurrent networks; (5) liberation from the tyranny of the control cycle using asynchronous truncated backpropagation through time; and (6) multistream training for robustness. Results from model studies of automotive idle speed control serve as examples for several of these topics.

  10. Nonlinear Robust Observer-Based Fault Detection for Networked Suspension Control System of Maglev Train

    Directory of Open Access Journals (Sweden)

    Yun Li

    2013-01-01

    Full Text Available A fault detection approach based on nonlinear robust observer is designed for the networked suspension control system of Maglev train with random induced time delay. First, considering random bounded time-delay and external disturbance, the nonlinear model of the networked suspension control system is established. Then, a nonlinear robust observer is designed using the input of the suspension gap. And the estimate error is proved to be bounded with arbitrary precision by adopting an appropriate parameter. When sensor faults happen, the residual between the real states and the observer outputs indicates which kind of sensor failures occurs. Finally, simulation results using the actual parameters of CMS-04 maglev train indicate that the proposed method is effective for maglev train.

  11. Consumer involvement in cancer research: example from a Cancer Network.

    Science.gov (United States)

    Arain, Mubashir; Pyne, Sarah; Thornton, Nigel; Palmer, Susan; Sharma, Ricky A

    2015-10-01

    The involvement of consumers and the general public in improving cancer services is an important component of health services. However, consumer involvement in cancer research is relatively unexplored. The objective of this study was to explore different ways of involving consumers in cancer research in one regional network. Thames Valley Cancer Network Consumer Research Partnership (CRP) group was formed in 2009. The group consists of consumers and professionals to help in promoting consumer involvement in Cancer Research in the Thames Valley. This study evaluated the project of consumer involvement in cancer research in the Thames Valley from March 2010 to March 2011. We used different indices to judge the level of consumer involvement: number of projects involving consumers through the group, types of projects, level of involvement (ranged from consultation on research documents to collaborating in preparing grant applications) and the methods of involving consumers in cancer research. Fifteen projects were submitted to the CRP group during the 12-month period studied. Of these, eight projects were clinical trials, three were qualitative research projects, two were patients' surveys and two were non-randomized interventional studies. Seven projects requested consumer involvement on patient information sheets for clinical trials. Of these seven applications, three also requested consumers' help in designing research questionnaires and another three requested that consumers should be involved in their project management group. In addition, four projects involved consumers in the proposal development phase and another four projects asked for advice on how to increase trial recruitment, conduct patient interviews or help with grant applications. The creation of the CRP and this audit of its activity have documented consumer involvement in cancer research in the Thames Valley. We have clearly shown that consumers can be involved in designing and managing cancer

  12. Diagnostics of Nuclear Reactor Accidents Based on Particle Swarm Optimization Trained Neural Networks

    International Nuclear Information System (INIS)

    Abdel-Aal, M.M.Z.

    2004-01-01

    Automation in large, complex systems such as chemical plants, electrical power generation, aerospace and nuclear plants has been steadily increasing in the recent past. automated diagnosis and control forms a necessary part of these systems,this contains thousands of alarms processing in every component, subsystem and system. so the accurate and speed of diagnosis of faults is an important factors in operation and maintaining their health and continued operation and in reducing of repair and recovery time. using of artificial intelligence facilitates the alarm classifications and faults diagnosis to control any abnormal events during the operation cycle of the plant. thesis work uses the artificial neural network as a powerful classification tool. the work basically is has two components, the first is to effectively train the neural network using particle swarm optimization, which non-derivative based technique. to achieve proper training of the neural network to fault classification problem and comparing this technique to already existing techniques

  13. Relationships between music training, speech processing, and word learning: a network perspective.

    Science.gov (United States)

    Elmer, Stefan; Jäncke, Lutz

    2018-03-15

    Numerous studies have documented the behavioral advantages conferred on professional musicians and children undergoing music training in processing speech sounds varying in the spectral and temporal dimensions. These beneficial effects have previously often been associated with local functional and structural changes in the auditory cortex (AC). However, this perspective is oversimplified, in that it does not take into account the intrinsic organization of the human brain, namely, neural networks and oscillatory dynamics. Therefore, we propose a new framework for extending these previous findings to a network perspective by integrating multimodal imaging, electrophysiology, and neural oscillations. In particular, we provide concrete examples of how functional and structural connectivity can be used to model simple neural circuits exerting a modulatory influence on AC activity. In addition, we describe how such a network approach can be used for better comprehending the beneficial effects of music training on more complex speech functions, such as word learning. © 2018 New York Academy of Sciences.

  14. European Network of Bipolar Research Expert Centre (ENBREC)

    DEFF Research Database (Denmark)

    Henry, Chantal; Andreassen, Ole A; Barbato, Angelo

    2013-01-01

    of a critical mass of expertise and multicentre collaborative projects. Within the framework of the European FP7 programme, we developed a European Network of Bipolar Research Expert Centres (ENBREC) designed specifically to facilitate EU-wide studies. ENBREC provides an integrated support structure...... clinical decision-making as well as being applicable to research. Reliable, established measures have been prioritised, and instruments have been translated and validated when necessary. An electronic healthcare record and monitoring system (e-ENBREC©) has been developed to collate the data. Protocols...... to conduct multicentre clinical observational studies and joint studies on cognitive function, biomarkers, genetics, and neuroimaging are in progress; a pilot study has been completed on strategies for routine implementation of psycho-education. The network demonstrates 'proof of principle' that expert...

  15. Current NDT activities at Cekmece Nuclear Research and Training Center

    International Nuclear Information System (INIS)

    Ekinci, S.

    2004-01-01

    Nondestructive testing (NDT) activities at Cekmece Nuclear Research and Training Center (CNAEM) has been initiated in the Industrial Application Department of the Center which was established in 1976 as the Radioisotope Applications Group for Industry. The Department started its first NDT activity with industrial radiography. The NDT activities have been developed by the support of various national (State Planning Organization (DPT)) and international (IAEA and UNDP) projects. Today, there are five basic NDT techniques (radiography, ultrasonic, magnetic particle, liquid penetrant and eddy current) used in the Industrial Application Department. The Department arranges routinely NDT qualification courses according to ISO 9712 and TS EN 473 standards for level 1 and 2 for Turkish Industry. It also carries out national DPT and IAEA Technical Co-operation projects and gives NDT services in the laboratory and in the field. Digital radiography and digital ultrasonic techniques are being used in advanced NDT applications. This paper describes the NDT activities of CNAEM. (author)

  16. Quality management system of Saraykoy Nuclear Research and Training center

    International Nuclear Information System (INIS)

    Gurellier, R.; Akchay, S.; Zararsiz, S.

    2014-01-01

    Full text : Technical competence and national/international acceptance of independency of laboratories is ensured by going through accreditations. It provides decreasing the risk of a slowdown in international trade due to unnecessary repetition of testing and analyses. It also eliminates the cost of additional experiments and analyses. Saraykoy Nuclear Research and Training Center (SANAEM) has performed intensive studies to establish an effective and well-functioning QMS (Quality Management System) by full accordance with the requirements of ISO/IEC 17025, since the begining of 2006. Laboratories, especially serving to public health studies and important trade duties require urgent accreditation. In this regard, SANAEM has established a quality management system and performed accreditation studies

  17. Research of training device on goniometry detector of nuclear burst

    International Nuclear Information System (INIS)

    He Shuijun; Wu Jiangfeng; Qin Jin

    2012-01-01

    The problem is that a Goniometry Detector is unable to be used to train, which lacks of simulation training environment and real training conditions. Its basic working principle is analyzed, and the overall program which is suitable to the training simulator is raised. We also describe the design of light source. We developed a set of experimental device and did some experiments on the basis of it. The experimental results show that technical approach of the program is feasible and the basic performance can meet training needs. The set of experimental device can solve practical training problems and play an important military benefit by improvements. (authors)

  18. The Road Traffic Injuries Research Network: a decade of research capacity strengthening in low- and middle-income countries.

    Science.gov (United States)

    Hyder, Adnan A; Norton, Robyn; Pérez-Núñez, Ricardo; Mojarro-Iñiguez, Francisco R; Peden, Margie; Kobusingye, Olive

    2016-02-27

    Road traffic crashes have been an increasing threat to the wellbeing of road users worldwide; an unacceptably high number of people die or become disabled from them. While high-income countries have successfully implemented effective interventions to help reduce the burden of road traffic injuries (RTIs) in their countries, low- and middle-income countries (LMICs) have not yet achieved similar results. Both scientific research and capacity development have proven to be useful for preventing RTIs in high-income countries. In 1999, a group of leading researchers from different countries decided to join efforts to help promote research on RTIs and develop the capacity of professionals from LMICs. This translated into the creation of the Road Traffic Injuries Research Network (RTIRN) - a partnership of over 1,100 road safety professionals from 114 countries collaborating to facilitate reductions in the burden of RTIs in LMICs by identifying and promoting effective, evidenced-based interventions and supporting research capacity building in road safety research in LMICs. This article presents the work that RTIRN has done over more than a decade, including production of a dozen scientific papers, support of nearly 100 researchers, training of nearly 1,000 people and 35 scholarships granted to researchers from LMICs to attend world conferences, as well as lessons learnt and future challenges to maximize its work.

  19. Neural network approaches to tracer identification as related to PIV research

    Energy Technology Data Exchange (ETDEWEB)

    Seeley, C.H. Jr.

    1992-12-01

    Neural networks have become very powerful tools in many fields of interest. This thesis examines the application of neural networks to another rapidly growing field flow visualization. Flow visualization research is used to experimentally determine how fluids behave and to verify computational results obtained analytically. A form of flow visualization, particle image velocimetry (PIV). determines the flow movement by tracking neutrally buoyant particles suspended in the fluid. PIV research has begun to improve rapidly with the advent of digital imagers, which can quickly digitize an image into arrays of grey levels. These grey level arrays are analyzed to determine the location of the tracer particles. Once the particles positions have been determined across multiple image frames, it is possible to track their movements, and hence, the flow of the fluid. This thesis explores the potential of several different neural networks to identify the positions of the tracer particles. Among these networks are Backpropagation, Kohonen (counter-propagation), and Cellular. Each of these algorithms were employed in their basic form, and training and testing were performed on a synthetic grey level array. Modifications were then made to them in attempts to improve the results.

  20. Neural network approaches to tracer identification as related to PIV research

    International Nuclear Information System (INIS)

    Seeley, C.H. Jr.

    1992-12-01

    Neural networks have become very powerful tools in many fields of interest. This thesis examines the application of neural networks to another rapidly growing field flow visualization. Flow visualization research is used to experimentally determine how fluids behave and to verify computational results obtained analytically. A form of flow visualization, particle image velocimetry (PIV). determines the flow movement by tracking neutrally buoyant particles suspended in the fluid. PIV research has begun to improve rapidly with the advent of digital imagers, which can quickly digitize an image into arrays of grey levels. These grey level arrays are analyzed to determine the location of the tracer particles. Once the particles positions have been determined across multiple image frames, it is possible to track their movements, and hence, the flow of the fluid. This thesis explores the potential of several different neural networks to identify the positions of the tracer particles. Among these networks are Backpropagation, Kohonen (counter-propagation), and Cellular. Each of these algorithms were employed in their basic form, and training and testing were performed on a synthetic grey level array. Modifications were then made to them in attempts to improve the results