Knowledge network model of the energy consumption in discrete manufacturing system

NASA Astrophysics Data System (ADS)

Xu, Binzi; Wang, Yan; Ji, Zhicheng

2017-07-01

Discrete manufacturing system generates a large amount of data and information because of the development of information technology. Hence, a management mechanism is urgently required. In order to incorporate knowledge generated from manufacturing data and production experience, a knowledge network model of the energy consumption in the discrete manufacturing system was put forward based on knowledge network theory and multi-granularity modular ontology technology. This model could provide a standard representation for concepts, terms and their relationships, which could be understood by both human and computer. Besides, the formal description of energy consumption knowledge elements (ECKEs) in the knowledge network was also given. Finally, an application example was used to verify the feasibility of the proposed method.

Negotiating Diet in Networks: A Cross-European Study of the Experiences of Managing Type 2 Diabetes.

PubMed

Knutsen, Ingrid Ruud; Foss, I Christina; Todorova, Elka; Roukova, Poli; Kennedy, Anne; Portillo, Mari Carmen; Regaira, Elena; Serrano-Gil, Manuel; Lionis, Christos; Angelaki, Agapi; Rogers, Anne

2017-02-01

Food and diet are central aspects of diabetes self-management but the relevance of social networks for the way people are supported in their management of type 2 diabetes is often under-acknowledged. In this article, we aimed to explore the coalescences between these two phenomena among people with type 2 diabetes to increase knowledge of interactions within social network related to daily diet. The article is based on 125 qualitative interviews with individuals with type 2 diabetes from five European countries. Based on assumptions that people with chronic illnesses reshape relationships through negotiation, we analyzed negotiations of food at different levels of network. The respondents' reflections indicate that there are complex negotiations that influence self-management and food, including support, knowledge, and relationships within families; attention and openness in social situations; and the premises and norms of society.

Semantic Data Integration and Knowledge Management to Represent Biological Network Associations.

PubMed

Losko, Sascha; Heumann, Klaus

2017-01-01

The vast quantities of information generated by academic and industrial research groups are reflected in a rapidly growing body of scientific literature and exponentially expanding resources of formalized data, including experimental data, originating from a multitude of "-omics" platforms, phenotype information, and clinical data. For bioinformatics, the challenge remains to structure this information so that scientists can identify relevant information, to integrate this information as specific "knowledge bases," and to formalize this knowledge across multiple scientific domains to facilitate hypothesis generation and validation. Here we report on progress made in building a generic knowledge management environment capable of representing and mining both explicit and implicit knowledge and, thus, generating new knowledge. Risk management in drug discovery and clinical research is used as a typical example to illustrate this approach. In this chapter we introduce techniques and concepts (such as ontologies, semantic objects, typed relationships, contexts, graphs, and information layers) that are used to represent complex biomedical networks. The BioXM™ Knowledge Management Environment is used as an example to demonstrate how a domain such as oncology is represented and how this representation is utilized for research.

Knowledge Management in Higher Education in Thailand

ERIC Educational Resources Information Center

Chumjit, Surat

2012-01-01

This study examines how knowledge management (KM) is applied to higher education in Thailand, and it will also examine whether higher education in Thailand is ready to combine KM with their educational missions in terms of teaching, research, administration, and strategic planning. Knowledge creation and social networking frameworks are used to…

Who Exactly Is the Moderator? A Consideration of Online Knowledge Management Network Moderation in Educational Organisations

ERIC Educational Resources Information Center

Gairin-Sallan, Joaquin; Rodriguez-Gomez, David; Armengol-Asparo, Carme

2010-01-01

In the knowledge society, the appearance and development of new networked working and learning environments is increasingly common. In the "Accelera" project, which is the basis for this paper, we have developed an online community of practice which enables experiences and knowledge to be shared between various educational agents, and…

More Stable Ties or Better Structure? An Examination of the Impact of Co-author Network on Team Knowledge Creation

PubMed Central

Li, Mingze; Zhuang, Xiaoli; Liu, Wenxing; Zhang, Pengcheng

2017-01-01

This study aims to explore the influence of co-author network on team knowledge creation. Integrating the two traditional perspectives of network relationship and network structure, we examine the direct and interactive effects of tie stability and structural holes on team knowledge creation. Tracking scientific articles published by 111 scholars in the research field of human resource management from the top 8 American universities, we analyze scholars’ scientific co-author networks. The result indicates that tie stability changes the teams’ information processing modes and, when graphed, results in an inverted U-shape relationship between tie stability and team knowledge creation. Moreover, structural holes in co-author network are proved to be harmful to team knowledge sharing and diffusion, thereby impeding team knowledge creation. Also, tie stability and structural hole interactively influence team knowledge creation. When the number of structural hole is low in the co-author network, the graphical representation of the relationship between tie stability and team knowledge creation tends to be a more distinct U-shape. PMID:28993744

More Stable Ties or Better Structure? An Examination of the Impact of Co-author Network on Team Knowledge Creation.

PubMed

Li, Mingze; Zhuang, Xiaoli; Liu, Wenxing; Zhang, Pengcheng

2017-01-01

This study aims to explore the influence of co-author network on team knowledge creation. Integrating the two traditional perspectives of network relationship and network structure, we examine the direct and interactive effects of tie stability and structural holes on team knowledge creation. Tracking scientific articles published by 111 scholars in the research field of human resource management from the top 8 American universities, we analyze scholars' scientific co-author networks. The result indicates that tie stability changes the teams' information processing modes and, when graphed, results in an inverted U-shape relationship between tie stability and team knowledge creation. Moreover, structural holes in co-author network are proved to be harmful to team knowledge sharing and diffusion, thereby impeding team knowledge creation. Also, tie stability and structural hole interactively influence team knowledge creation. When the number of structural hole is low in the co-author network, the graphical representation of the relationship between tie stability and team knowledge creation tends to be a more distinct U-shape.

Network-Based Leadership Development: A Guiding Framework and Resources for Management Educators

ERIC Educational Resources Information Center

Cullen-Lester, Kristin L.; Woehler, Meredith L.; Willburn, Phil

2016-01-01

Management education and leadership development has traditionally focused on improving human capital (i.e., knowledge, skills, and abilities). Social capital, networks, and networking skills have received less attention. When this content has been incorporated into learning and development experiences, it has often been more ad hoc and has…

Enhancing fire science exchange: The Northern Rockies Fire Science Network [poster

Treesearch

Vita Wright

2011-01-01

The Joint Fire Science Program is developing a national network of knowledge exchange consortia comprised of interested management and science stakeholders working together to tailor and actively demonstrate existing fire science information to benefit management.

Social Presence and Transactional Distance as an Antecedent to Knowledge Sharing in Virtual Learning Communities

ERIC Educational Resources Information Center

Karaoglan Yilmaz, Fatma Gizem

2017-01-01

Today, the use of social network-based virtual learning communities is increasing rapidly in terms of knowledge management. An important dynamic of knowledge management processes is the knowledge sharing behaviors (KSB) in community. The purpose of this study is to examine the KSB of the students in a Facebook-based virtual community created…

Leadership of healthcare commissioning networks in England: a mixed-methods study on clinical commissioning groups

PubMed Central

Zachariadis, Markos; Oborn, Eivor; Barrett, Michael; Zollinger-Read, Paul

2013-01-01

Objective To explore the relational challenges for general practitioner (GP) leaders setting up new network-centric commissioning organisations in the recent health policy reform in England, we use innovation network theory to identify key network leadership practices that facilitate healthcare innovation. Design Mixed-method, multisite and case study research. Setting Six clinical commissioning groups and local clusters in the East of England area, covering in total 208 GPs and 1 662 000 population. Methods Semistructured interviews with 56 lead GPs, practice managers and staff from the local health authorities (primary care trusts, PCT) as well as various healthcare professionals; 21 observations of clinical commissioning group (CCG) board and executive meetings; electronic survey of 58 CCG board members (these included GPs, practice managers, PCT employees, nurses and patient representatives) and subsequent social network analysis. Main outcome measures Collaborative relationships between CCG board members and stakeholders from their healthcare network; clarifying the role of GPs as network leaders; strengths and areas for development of CCGs. Results Drawing upon innovation network theory provides unique insights of the CCG leaders’ activities in establishing best practices and introducing new clinical pathways. In this context we identified three network leadership roles: managing knowledge flows, managing network coherence and managing network stability. Knowledge sharing and effective collaboration among GPs enable network stability and the alignment of CCG objectives with those of the wider health system (network coherence). Even though activities varied between commissioning groups, collaborative initiatives were common. However, there was significant variation among CCGs around the level of engagement with providers, patients and local authorities. Locality (sub) groups played an important role because they linked commissioning decisions with patient needs and brought the leaders closer to frontline stakeholders. Conclusions With the new commissioning arrangements, the leaders should seek to move away from dyadic and transactional relationships to a network structure, thereby emphasising on the emerging relational focus of their roles. Managing knowledge mobility, healthcare network coherence and network stability are the three clinical leadership processes that CCG leaders need to consider in coordinating their network and facilitating the development of good clinical commissioning decisions, best practices and innovative services. To successfully manage these processes, CCG leaders need to leverage the relational capabilities of their network as well as their clinical expertise to establish appropriate collaborations that may improve the healthcare services in England. Lack of local GP engagement adds uncertainty to the system and increases the risk of commissioning decisions being irrelevant and inefficient from patient and provider perspectives. PMID:23430596

Bayesian belief networks: applications in ecology and natural resource management.

Treesearch

R.K. McCann; B.G. Marcot; R. Ellis

2006-01-01

We review the use of Bayesian belief networks (BBNs) in natural resource management and ecology. We suggest that BBNs are useful tools for representing expert knowledge of a system, evaluating potential effects of alternative management decisions, and communicating to nonexperts about resource decision issues. BBNs can be used effectively to represent uncertainty in...

Network Framing of Pest Management Knowledge and Practice

ERIC Educational Resources Information Center

Moore, Keith M.

2008-01-01

Conventional technology transfer is based on the assumption that autonomous individuals independently make behavioral decisions. In contrast, Actor-Network Theory (ANT) suggests that people and technologies are interconnected in ways that reinforce and reproduce some types of knowledge and consequent behavioral practices, but not others. Research…

Research and knowledge in Ontario tobacco control networks.

PubMed

Bickford, Julia J; Kothari, Anita R

2008-01-01

This study sought to better understand the role of research knowledge in Ontario tobacco control networks by asking: 1) How is research managed; 2) How is research evaluated; and 3) How is research utilized? This is a secondary analysis of a qualitative study based on individual semistructured interviews with 29 participants between January and May 2006. These participants were purposefully sampled from across four Ministries in the provincial government (n = 7), non-government (n = 15), and public health organizations (n = 7). Interviews were transcribed verbatim and coded and analyzed using QSR N7 qualitative software. This study received ethics approval from The University of Western Ontario Health Research Ethics Board. There exists a dissonance between the preference for peer-reviewed, unbiased, non-partisan knowledge to support claims and the need for fast, "real-time" information on which to base tobacco-related policy decisions. Second, there is a great deal of tacit knowledge held by experts within the Ontario tobacco control community. The networks among government, non-government, and public health organizations are the structures through which tacit knowledge is exchanged. These networks are dynamic, fluid and shifting. There exists a gap in the production and utilization of research knowledge for tobacco control policy. Tacit knowledge held by experts in Ontario tobacco control networks is an integral means of managing and evaluating research knowledge. Finally, this study builds on Weiss's concept of tactical model of evidence use by highlighting the utilization of research to enhance one's credibility.

Knowledge Retrieval Solutions.

ERIC Educational Resources Information Center

Khan, Kamran

1998-01-01

Excalibur RetrievalWare offers true knowledge retrieval solutions. Its fundamental technologies, Adaptive Pattern Recognition Processing and Semantic Networks, have capabilities for knowledge discovery and knowledge management of full-text, structured and visual information. The software delivers a combination of accuracy, extensibility,…

New Structures for the Effective Dissemination of Knowledge in an Enterprise.

ERIC Educational Resources Information Center

Kok, J. Andrew

2000-01-01

Discusses the creation of knowledge enterprises. Highlights include knowledge creation and sharing; networked organizational structures; structures of knowledge organization; competitive strategies; new structures to manage knowledge; boundary crossing; multi-skilled teams; communities of interest or practice; and dissemination of knowledge in an…

Network analysis for science and technology management: Evidence from tuberculosis research in Fiocruz, Brazil

PubMed Central

da Silva, Marcus Vinicius Pereira; de Araújo, Kizi Mendonça; Sampaio, Ricardo Barros; Moraes, Milton Ozório

2017-01-01

Collaborative networks are of great value for science and technology (S&T) institutions as a way of sharing, generating and disseminating new knowledge that could ultimately lead to innovations. Driven by the need to assess the contribution and effectiveness of these networks in informing S&T management, we explored the evolution and dynamics of tuberculosis scientific networks involving the Oswaldo Cruz Foundation (Fiocruz), the major public health S&T Institution in Brazil. Social network analysis (SNA) was used to produce a 10-year (2005–2009, 2010–2014) retrospective longitudinal mapping of Brazilian tuberculosis research networks within the country and internationally, highlighting Fiocruz collaborations. Co-authorship analysis showed a significant expansion of collaboration in Brazil and the role of Fiocruz and other leading national institutions in maintaining connectivity, facilitating knowledge exchange and reducing network vulnerability. It also identified influential researchers that can act as information leaders and support strategic decisions. When we focused on networks inside the institution, the analysis showed a clear discontinuation between the clinical and the public health research areas, which needs specific internal policies to improve collaborations since outcomes in TB are expected to provide better diagnostic tools and more effective treatments. The approach provides evidence to support S&T management by pinpointing: key central institutions maintaining network connectivity; most influential researchers that can act as advisors/experts for investment and induction policies; key Fiocruz researchers that could improve information exchange, systems integration and innovation within the institution; opportunities for synergy between internal research groups working in complementary areas. In summary, we observed that SNA parameters proved to be a valuable tool that, along with other indicators, can strengthen knowledge platforms to support S&T management efforts. PMID:28792514

Organizational Politics, Social Network, and Knowledge Management

NASA Astrophysics Data System (ADS)

Lee, Hyun Jung; Kang, Sora; Lee, Jongwon

This research identifies the social relationship and structure among members as well as organization’s political inclination, through which, it also identifies the current status of knowledge management. The result shows that the socio-technological factors (individual, knowledge and IT factors) affect knowledge transfer and the knowledge transfer influences performance and that the members’ relationship based on the political inclination of the organization has a major moderating effect on the above two relation.

An AHP-Based Weighted Analysis of Network Knowledge Management Platforms for Elementary School Students

ERIC Educational Resources Information Center

Lee, Chung-Ping; Lou, Shi-Jer; Shih, Ru-Chu; Tseng, Kuo-Hung

2011-01-01

This study uses the analytical hierarchy process (AHP) to quantify important knowledge management behaviors and to analyze the weight scores of elementary school students' behaviors in knowledge transfer, sharing, and creation. Based on the analysis of Expert Choice and tests for validity and reliability, this study identified the weight scores of…

Software Sharing Enables Smarter Content Management

NASA Technical Reports Server (NTRS)

2007-01-01

In 2004, NASA established a technology partnership with Xerox Corporation to develop high-tech knowledge management systems while providing new tools and applications that support the Vision for Space Exploration. In return, NASA provides research and development assistance to Xerox to progress its product line. The first result of the technology partnership was a new system called the NX Knowledge Network (based on Xerox DocuShare CPX). Created specifically for NASA's purposes, this system combines Netmark-practical database content management software created by the Intelligent Systems Division of NASA's Ames Research Center-with complementary software from Xerox's global research centers and DocuShare. NX Knowledge Network was tested at the NASA Astrobiology Institute, and is widely used for document management at Ames, Langley Research Center, within the Mission Operations Directorate at Johnson Space Center, and at the Jet Propulsion Laboratory, for mission-related tasks.

A multiple case study of intersectoral public health networks: experiences and benefits of using research.

PubMed

Kothari, Anita; McPherson, Charmaine; Gore, Dana; Cohen, Benita; MacDonald, Marjorie; Sibbald, Shannon L

2016-02-11

Network partnerships between public health and third sector organisations are being used to address the complexities of population level social determinants of health and health equity. An understanding of how these networks use research and knowledge is crucial to effective network design and outcome evaluation. There is, however, a gap in the literature regarding how public health networks use research and knowledge. The purpose of this paper is to report on the qualitative findings from a larger study that explored (1) the experiences of public health networks with using research and knowledge, and (2) the perceived benefits of using research and knowledge. A multiple case study approach framed this study. Focus group data were collected from participants through a purposive sample of four public health networks. Data were analyzed using Framework Analysis and Nvivo software supported data management. Each network had the opportunity to participate in data interpretation. All networks used published research studies and other types of knowledge to accomplish their work, although in each network research and knowledge played different but complementary roles. Neither research nor other types of knowledge were privileged, and an approach that blended varied knowledge types was typically used. Network experiences with research and knowledge produced individual and collective benefits. A novel finding was that research and knowledge were both important in shaping network function. This study shifts the focus in the current literature from public health departments to the community setting where public health collaborates with a broader spectrum of actors to ameliorate health inequities. Both formal research and informal knowledge were found to be important for collaborative public health networks. Examining the benefits of research and knowledge use within public health networks may help us to better understand the relationships among process (the collaborative use of research and knowledge), structure (networks) and outcomes (benefits).

Establishing a national knowledge translation and generation network in kidney disease: the CAnadian KidNey KNowledge TraNslation and GEneration NeTwork.

PubMed

Manns, Braden; Barrett, Brendan; Evans, Michael; Garg, Amit; Hemmelgarn, Brenda; Kappel, Joanne; Klarenbach, Scott; Madore, Francois; Parfrey, Patrick; Samuel, Susan; Soroka, Steven; Suri, Rita; Tonelli, Marcello; Wald, Ron; Walsh, Michael; Zappitelli, Michael

2014-01-01

Patients with chronic kidney disease (CKD) do not always receive care consistent with guidelines, in part due to complexities in CKD management, lack of randomized trial data to inform care, and a failure to disseminate best practice. At a 2007 conference of key Canadian stakeholders in kidney disease, attendees noted that the impact of Canadian Society of Nephrology (CSN) guidelines was attenuated given limited formal linkages between the CSN Clinical Practice Guidelines Group, kidney researchers, decision makers and knowledge users, and that further knowledge was required to guide care in patients with kidney disease. The idea for the Canadian Kidney Knowledge Translation and Generation Network (CANN-NET) developed from this meeting. CANN-NET is a pan-Canadian network established in partnership with CSN, the Kidney Foundation of Canada and other professional societies to improve the care and outcomes of patients with and at risk for kidney disease. The initial priority areas for knowledge translation include improving optimal timing of dialysis initiation, and increasing the appropriate use of home dialysis. Given the urgent need for new knowledge, CANN-NET has also brought together a national group of experienced Canadian researchers to address knowledge gaps by encouraging and supporting multicentre randomized trials in priority areas, including management of cardiovascular disease in patients with kidney failure.

Social Networking Sites as a Learning Tool

ERIC Educational Resources Information Center

Sanchez-Casado, Noelia; Cegarra Navarro, Juan Gabriel; Wensley, Anthony; Tomaseti-Solano, Eva

2016-01-01

Purpose: Over the past few years, social networking sites (SNSs) have become very useful for firms, allowing companies to manage the customer-brand relationships. In this context, SNSs can be considered as a learning tool because of the brand knowledge that customers develop from these relationships. Because of the fact that knowledge in…

Water Diplomacy: A Synthesis of Explicit and Tacit Water Information to Create Actionable Knowledge

NASA Astrophysics Data System (ADS)

Islam, S.; Moomaw, W.; Portney, K.; Reed, M.; Vogel, R. M.; Water Diplomacy

2011-12-01

Water issues are complex because they cross multiple boundaries and involve various stakeholders with competing needs. The origin of many water issues is a dynamic consequence of competition and feedback among variables in the natural, societal and political domains. Together, these interactions generate what we call water networks. As population growth, economic development and climate change impose pressures on finite water resources, management of these water networks becomes crucial. Science alone is not sufficient; nor can policy-making that does not take science into account yield sustainable management solutions. Rather, sustainable solutions may only be found through a diplomatic or negotiated approach that simultaneously takes science, policy, and politics into account. Water issues need to be understood as the product of competition, interconnection, and feedback among variables in the Natural and Societal Domains (NSDs). Within the natural domain: water quantity (Q), water quality (P), and ecosystem (E) constrain and define network dynamics. While in the societal domain, interactions among culture and values (V), assets (C), and governance and institutions (G) create complex contextual differences in the network. These six NSD variables constitute the nodes of a water network while interactions and feedback among natural, societal and political forces define the complexity of a network. The knowledge needed to resolve water conflicts and to manage water networks effectively must extend beyond scientific assessment that ignore societal variables (C, G, and V) or treat them as exogenous, and beyond policy analysis that does not consider the impact of natural variables (E, P, and Q) and the couplings among them. Many water conflicts arise when NSD variables, and the networks they define, are mismanaged. These networks are open-ended systems that cross boundaries (physical, disciplinary, and jurisdictional ) and change continuously; thus, efforts to manage them assuming that they have fixed boundaries , or can be optimized with scientific objectivity without properly accounting for contextual differences, are likely to fail. Once water conflicts are framed properly, the tools of joint fact-finding and collaborative problem-solving can be used to negotiate solutions that are both adaptive and enforceable. We will use AquaPedia - a growing knowledge base of water issues from across the world - to demonstrate the utility of this synthesis of explicit and tacit knowledge in addressing water problems and creating actionable knowledge.

Mobilizing Ideas in Knowledge Networks: A Social Network Analysis of the Human Resource Management Community 1990-2005

ERIC Educational Resources Information Center

Henneberg, Stephan C.; Swart, Juani; Naude, Peter; Jiang, Zhizhong; Mouzas, Stefanos

2009-01-01

Purpose: The purpose of this paper is to show the role of social networks in mobilizing how actors both impact and are impacted on by their colleagues. It seeks to compare the human resource management (HRM) academic community with two other comparable communities, and to identify those groups that are seen to work closely together.…

Collaborating to Compete: Achieving Effective Knowledge Sharing in Organizations

ERIC Educational Resources Information Center

Laycock, Martyn

2005-01-01

Purpose: This paper aims to present a practitioner overview of the challenges and growing strategic importance of knowledge and knowledge sharing in organizations, considering roles of learning, and in particular networks, together with collaboration in the development of sustainable competitive edge through knowledge, knowledge management and the…

User requirements and understanding of public health networks in England.

PubMed

Fahey, D K; Carson, E R; Cramp, D G; Muir Gray, J A

2003-12-01

The movement of public health professionals from health authorities to primary care trusts has increased their isolation and dependence on public health networks for communication. A cross sectional survey of 60 public health professionals working in England was performed to determine their understanding of the term "public health network" and to explore the functions that they would like these networks to perform. It also assessed their attitudes towards a national network and towards individual, local, and national web sites to support these networks. The most popular functions were the support of CPD/education, the identification of expertise and maximisation of scarce resources, information sharing, and efficient information/knowledge management. The local and national networks and their web sites should provide information on current projects of the network and searches to identify people, expertise, and reports. Public health professionals have a similar but broader understanding of the term "public health network" than that of the government with greater emphasis on sharing of information. The network is more likely to be successful if its priorities are maximising scarce resources, identification of expertise, CPD/education, and knowledge management.

University-Industry Collaboration, Knowledge Management and Enterprise Innovation Performance: An Empirical Study

ERIC Educational Resources Information Center

Chen, Jin; Wei, Shiyang

2008-01-01

This empirical study is concerned with university-industry collaboration from a knowledge management perspective. The authors introduce the concepts of "enterprise-level core elements" to define the principle status of an enterprise during university-industry collaboration, and "network embeddedness" as an indication of the…

Knowledge Value Creation Characteristics of Virtual Teams: A Case Study in the Construction Sector

NASA Astrophysics Data System (ADS)

Vorakulpipat, Chalee; Rezgui, Yacine

Any knowledge environment aimed at virtual teams should promote identification, access, capture and retrieval of relevant knowledge anytime / anywhere, while nurturing the social activities that underpin the knowledge sharing and creation process. In fact, socio-cultural issues play a critical role in the successful implementation of Knowledge Management (KM), and constitute a milestone towards value creation. The findings indicate that Knowledge Management Systems (KMS) promote value creation when they embed and nurture the social conditions that bind and bond team members together. Furthermore, technology assets, human networks, social capital, intellectual capital, and change management are identified as essential ingredients that have the potential to ensure effective knowledge value creation.

Measuring Teacher Knowledge of Classroom Social Networks: Convergent and Predictive Validity in Elementary School Classrooms

ERIC Educational Resources Information Center

Madill, Rebecca A.; Gest, Scott D.; Rodkin, Philip C.

2012-01-01

This study contributes to a growing body of literature focused on the role of the teacher's "invisible hand" in managing students social relationships. The authors focus on one specific aspect of attunement, teachers' social network knowledge, which they conceptualize as the completeness and accuracy of the teacher's social network…

Taking the 'work' out of networking: strategies for smarter, simpler network architecture and administration

NASA Technical Reports Server (NTRS)

Luna, C. de

2003-01-01

This session will help you tune up your skills and knowledge on the latest advances in network design and management, to keep your agency's data communications running at peak performance, with minimal cost and effort.

Informing Environmental Water Management Decisions: Using Conditional Probability Networks to Address the Information Needs of Planning and Implementation Cycles.

PubMed

Horne, Avril C; Szemis, Joanna M; Webb, J Angus; Kaur, Simranjit; Stewardson, Michael J; Bond, Nick; Nathan, Rory

2018-03-01

One important aspect of adaptive management is the clear and transparent documentation of hypotheses, together with the use of predictive models (complete with any assumptions) to test those hypotheses. Documentation of such models can improve the ability to learn from management decisions and supports dialog between stakeholders. A key challenge is how best to represent the existing scientific knowledge to support decision-making. Such challenges are currently emerging in the field of environmental water management in Australia, where managers are required to prioritize the delivery of environmental water on an annual basis, using a transparent and evidence-based decision framework. We argue that the development of models of ecological responses to environmental water use needs to support both the planning and implementation cycles of adaptive management. Here we demonstrate an approach based on the use of Conditional Probability Networks to translate existing ecological knowledge into quantitative models that include temporal dynamics to support adaptive environmental flow management. It equally extends to other applications where knowledge is incomplete, but decisions must still be made.

Informing Environmental Water Management Decisions: Using Conditional Probability Networks to Address the Information Needs of Planning and Implementation Cycles

NASA Astrophysics Data System (ADS)

Horne, Avril C.; Szemis, Joanna M.; Webb, J. Angus; Kaur, Simranjit; Stewardson, Michael J.; Bond, Nick; Nathan, Rory

2018-03-01

One important aspect of adaptive management is the clear and transparent documentation of hypotheses, together with the use of predictive models (complete with any assumptions) to test those hypotheses. Documentation of such models can improve the ability to learn from management decisions and supports dialog between stakeholders. A key challenge is how best to represent the existing scientific knowledge to support decision-making. Such challenges are currently emerging in the field of environmental water management in Australia, where managers are required to prioritize the delivery of environmental water on an annual basis, using a transparent and evidence-based decision framework. We argue that the development of models of ecological responses to environmental water use needs to support both the planning and implementation cycles of adaptive management. Here we demonstrate an approach based on the use of Conditional Probability Networks to translate existing ecological knowledge into quantitative models that include temporal dynamics to support adaptive environmental flow management. It equally extends to other applications where knowledge is incomplete, but decisions must still be made.

INVASIVESNET towards an International Association for Open Knowledge on Invasive Alien Species

USGS Publications Warehouse

Lucy, Frances; Roy, Helen; Simpson, Annie; Carlton, James T.; Hanson, John Mark; Magellan, Kit; Campbell, Marnie L.; Costello, Mark J.; Pagad, Shyama; Hewitt, Chad L; McDonald, Justin; Cassey, Phillip; Thomaz, Sidinei M; Katsanevakis, Stelios; Zenetos, Argyro; Tricarico, Elena; Boggero, Angela; Groom, Quentin J.; Adriaens, Tim; Vanderhoeven, Sonia; Torchin, Mark E.; Hufbauer, Ruth A.; Fuller, Pam; Carman, Mary R; Conn, David Bruce; Vitule, Jean R. S.; Canning-Clode, João; Galil, Bella S; Ojaveer, Henn; Bailey, Sarah A; Therriault, Thomas W; Claudi, Renata; Gazda, Anna; Dick, Jaimie T A; Caffrey, Joe; Witt, Arne; Kenis, Marc; Lehtiniemi, Maiju; Helmisaari, Harry; Panov, Vadim E

2016-01-01

To date, the sustainability of many strategic national and international initiatives on IAS have unfortunately been hampered by time-limited grants or funding cycles. Recognising that IAS initiatives need to be globally coordinated and ongoing, we aim to develop a sustainable knowledge sharing association to connect the outputs of IAS research and to inform the consequential management and societal challenges arising from IAS introductions. INVASIVESNET will provide a dynamic and enduring network of networks to ensure the continuity of connections among the IAS community of practice, science and management.

A Bayesian network approach to knowledge integration and representation of farm irrigation: 1. Model development

NASA Astrophysics Data System (ADS)

Wang, Q. J.; Robertson, D. E.; Haines, C. L.

2009-02-01

Irrigation is important to many agricultural businesses but also has implications for catchment health. A considerable body of knowledge exists on how irrigation management affects farm business and catchment health. However, this knowledge is fragmentary; is available in many forms such as qualitative and quantitative; is dispersed in scientific literature, technical reports, and the minds of individuals; and is of varying degrees of certainty. Bayesian networks allow the integration of dispersed knowledge into quantitative systems models. This study describes the development, validation, and application of a Bayesian network model of farm irrigation in the Shepparton Irrigation Region of northern Victoria, Australia. In this first paper we describe the process used to integrate a range of sources of knowledge to develop a model of farm irrigation. We describe the principal model components and summarize the reaction to the model and its development process by local stakeholders. Subsequent papers in this series describe model validation and the application of the model to assess the regional impact of historical and future management intervention.

Looking Through a Social Lens: Conceptualising Social Aspects of Knowledge Management for Global Health Practitioners.

PubMed

Limaye, Rupali J; Sullivan, Tara M; Dalessandro, Scott; Jenkins, Ann Hendrix

2017-04-13

Knowledge management plays a critical role in global health. Global health practitioners require knowledge in every aspect of their jobs, and in resource-scarce contexts, practitioners must be able to rely on a knowledge management system to access the latest research and practice to ensure the highest quality of care. However, we suggest that there is a gap in the way knowledge management is primarily utilized in global health, namely, the systematic incorporation of human and social factors. In this paper, we briefly outline the evolution of knowledge management and then propose a conceptualization of knowledge management that incorporates human and social factors for use within a global health context. Our conceptualization of social knowledge management recognizes the importance of social capital, social learning, social software and platforms, and social networks , all within the context of a larger social system and driven by social benefit . We then outline the limitations and discuss future directions of our conceptualization, and suggest how this new conceptualization is essential for any global health practitioner in the business of managing knowledge.

Parallel processing for scientific computations

NASA Technical Reports Server (NTRS)

Alkhatib, Hasan S.

1991-01-01

The main contribution of the effort in the last two years is the introduction of the MOPPS system. After doing extensive literature search, we introduced the system which is described next. MOPPS employs a new solution to the problem of managing programs which solve scientific and engineering applications on a distributed processing environment. Autonomous computers cooperate efficiently in solving large scientific problems with this solution. MOPPS has the advantage of not assuming the presence of any particular network topology or configuration, computer architecture, or operating system. It imposes little overhead on network and processor resources while efficiently managing programs concurrently. The core of MOPPS is an intelligent program manager that builds a knowledge base of the execution performance of the parallel programs it is managing under various conditions. The manager applies this knowledge to improve the performance of future runs. The program manager learns from experience.

A Collaborative Knowledge Plane for Autonomic Networks

NASA Astrophysics Data System (ADS)

Mbaye, Maïssa; Krief, Francine

Autonomic networking aims to give network components self-managing capabilities. Several autonomic architectures have been proposed. Each of these architectures includes sort of a knowledge plane which is very important to mimic an autonomic behavior. Knowledge plane has a central role for self-functions by providing suitable knowledge to equipment and needs to learn new strategies for more accuracy.However, defining knowledge plane's architecture is still a challenge for researchers. Specially, defining the way cognitive supports interact each other in knowledge plane and implementing them. Decision making process depends on these interactions between reasoning and learning parts of knowledge plane. In this paper we propose a knowledge plane's architecture based on machine learning (inductive logic programming) paradigm and situated view to deal with distributed environment. This architecture is focused on two self-functions that include all other self-functions: self-adaptation and self-organization. Study cases are given and implemented.

The Avian Knowledge Network : A partnership to organize, analyze, and visualize bird observation data for education, conservation, research, and land management

Treesearch

Marshall Iliff; Leo Salas; Ernesto Ruelas Inzunza; Grant Ballard; Denis Lepage; Steve Kelling

2009-01-01

The Avian Knowledge Network (AKN) is an international collaboration of academic, nongovernment, and government institutions with the goal of organizing observations of birds into an interoperable format to enhance access, data visualization and exploration, and scientifi c analyses. The AKN uses proven cyberinfrastructure and informatics techniques as the foundation of...

A general framework for a collaborative water quality knowledge and information network.

PubMed

Dalcanale, Fernanda; Fontane, Darrell; Csapo, Jorge

2011-03-01

Increasing knowledge about the environment has brought about a better understanding of the complexity of the issues, and more information publicly available has resulted into a steady shift from centralized decision making to increasing levels of participatory processes. The management of that information, in turn, is becoming more complex. One of the ways to deal with the complexity is the development of tools that would allow all players, including managers, researchers, educators, stakeholders and the civil society, to be able to contribute to the information system, in any level they are inclined to do so. In this project, a search for the available technology for collaboration, methods of community filtering, and community-based review was performed and the possible implementation of these tools to create a general framework for a collaborative "Water Quality Knowledge and Information Network" was evaluated. The main goals of the network are to advance water quality education and knowledge; encourage distribution and access to data; provide networking opportunities; allow public perceptions and concerns to be collected; promote exchange of ideas; and, give general, open, and free access to information. A reference implementation was made available online and received positive feedback from the community, which also suggested some possible improvements.

A General Framework for a Collaborative Water Quality Knowledge and Information Network

NASA Astrophysics Data System (ADS)

Dalcanale, Fernanda; Fontane, Darrell; Csapo, Jorge

2011-03-01

Increasing knowledge about the environment has brought about a better understanding of the complexity of the issues, and more information publicly available has resulted into a steady shift from centralized decision making to increasing levels of participatory processes. The management of that information, in turn, is becoming more complex. One of the ways to deal with the complexity is the development of tools that would allow all players, including managers, researchers, educators, stakeholders and the civil society, to be able to contribute to the information system, in any level they are inclined to do so. In this project, a search for the available technology for collaboration, methods of community filtering, and community-based review was performed and the possible implementation of these tools to create a general framework for a collaborative "Water Quality Knowledge and Information Network" was evaluated. The main goals of the network are to advance water quality education and knowledge; encourage distribution and access to data; provide networking opportunities; allow public perceptions and concerns to be collected; promote exchange of ideas; and, give general, open, and free access to information. A reference implementation was made available online and received positive feedback from the community, which also suggested some possible improvements.

The strategic management of organizational knowledge exchange related to hospital quality measurement and reporting.

PubMed

Rangachari, Pavani

2008-01-01

CONTEXT/PURPOSE: With the growing momentum toward hospital quality measurement and reporting by public and private health care payers, hospitals face increasing pressures to improve their medical record documentation and administrative data coding accuracy. This study explores the relationship between the organizational knowledge-sharing structure related to quality and hospital coding accuracy for quality measurement. Simultaneously, this study seeks to identify other leadership/management characteristics associated with coding for quality measurement. Drawing upon complexity theory, the literature on "professional complex systems" has put forth various strategies for managing change and turnaround in professional organizations. In so doing, it has emphasized the importance of knowledge creation and organizational learning through interdisciplinary networks. This study integrates complexity, network structure, and "subgoals" theories to develop a framework for knowledge-sharing network effectiveness in professional complex systems. This framework is used to design an exploratory and comparative research study. The sample consists of 4 hospitals, 2 showing "good coding" accuracy for quality measurement and 2 showing "poor coding" accuracy. Interviews and surveys are conducted with administrators and staff in the quality, medical staff, and coding subgroups in each facility. Findings of this study indicate that good coding performance is systematically associated with a knowledge-sharing network structure rich in brokerage and hierarchy (with leaders connecting different professional subgroups to each other and to the external environment), rather than in density (where everyone is directly connected to everyone else). It also implies that for the hospital organization to adapt to the changing environment of quality transparency, senior leaders must undertake proactive and unceasing efforts to coordinate knowledge exchange across physician and coding subgroups and connect these subgroups with the changing external environment.

A Very Large Area Network (VLAN) knowledge-base applied to space communication problems

NASA Technical Reports Server (NTRS)

Zander, Carol S.

1988-01-01

This paper first describes a hierarchical model for very large area networks (VLAN). Space communication problems whose solution could profit by the model are discussed and then an enhanced version of this model incorporating the knowledge needed for the missile detection-destruction problem is presented. A satellite network or VLAN is a network which includes at least one satellite. Due to the complexity, a compromise between fully centralized and fully distributed network management has been adopted. Network nodes are assigned to a physically localized group, called a partition. Partitions consist of groups of cell nodes with one cell node acting as the organizer or master, called the Group Master (GM). Coordinating the group masters is a Partition Master (PM). Knowledge is also distributed hierarchically existing in at least two nodes. Each satellite node has a back-up earth node. Knowledge must be distributed in such a way so as to minimize information loss when a node fails. Thus the model is hierarchical both physically and informationally.

D-MSR: a distributed network management scheme for real-time monitoring and process control applications in wireless industrial automation.

PubMed

Zand, Pouria; Dilo, Arta; Havinga, Paul

2013-06-27

Current wireless technologies for industrial applications, such as WirelessHART and ISA100.11a, use a centralized management approach where a central network manager handles the requirements of the static network. However, such a centralized approach has several drawbacks. For example, it cannot cope with dynamicity/disturbance in large-scale networks in a real-time manner and it incurs a high communication overhead and latency for exchanging management traffic. In this paper, we therefore propose a distributed network management scheme, D-MSR. It enables the network devices to join the network, schedule their communications, establish end-to-end connections by reserving the communication resources for addressing real-time requirements, and cope with network dynamicity (e.g., node/edge failures) in a distributed manner. According to our knowledge, this is the first distributed management scheme based on IEEE 802.15.4e standard, which guides the nodes in different phases from joining until publishing their sensor data in the network. We demonstrate via simulation that D-MSR can address real-time and reliable communication as well as the high throughput requirements of industrial automation wireless networks, while also achieving higher efficiency in network management than WirelessHART, in terms of delay and overhead.

D-MSR: A Distributed Network Management Scheme for Real-Time Monitoring and Process Control Applications in Wireless Industrial Automation

PubMed Central

Zand, Pouria; Dilo, Arta; Havinga, Paul

2013-01-01

Current wireless technologies for industrial applications, such as WirelessHART and ISA100.11a, use a centralized management approach where a central network manager handles the requirements of the static network. However, such a centralized approach has several drawbacks. For example, it cannot cope with dynamicity/disturbance in large-scale networks in a real-time manner and it incurs a high communication overhead and latency for exchanging management traffic. In this paper, we therefore propose a distributed network management scheme, D-MSR. It enables the network devices to join the network, schedule their communications, establish end-to-end connections by reserving the communication resources for addressing real-time requirements, and cope with network dynamicity (e.g., node/edge failures) in a distributed manner. According to our knowledge, this is the first distributed management scheme based on IEEE 802.15.4e standard, which guides the nodes in different phases from joining until publishing their sensor data in the network. We demonstrate via simulation that D-MSR can address real-time and reliable communication as well as the high throughput requirements of industrial automation wireless networks, while also achieving higher efficiency in network management than WirelessHART, in terms of delay and overhead. PMID:23807687

On knowledge transfer management as a learning process for ad hoc teams

NASA Astrophysics Data System (ADS)

Iliescu, D.

2017-08-01

Knowledge management represents an emerging domain becoming more and more important. Concepts like knowledge codification and personalisation, knowledge life-cycle, social and technological dimensions, knowledge transfer and learning management are integral parts. Focus goes here in the process of knowledge transfer for the case of ad hoc teams. The social dimension of knowledge transfer plays an important role. No single individual actors involved in the process, but a collective one, representing the organisation. It is critically important for knowledge to be managed from the life-cycle point of view. A complex communication network needs to be in place to supports the process of knowledge transfer. Two particular concepts, the bridge tie and transactive memory, would eventually enhance the communication. The paper focuses on an informational communication platform supporting the collaborative work on knowledge transfer. The platform facilitates the creation of a topic language to be used in knowledge modelling, storage and reuse, by the ad hoc teams.

2015 Global Information Technology Report: Consequences on Knowledge Management in Higher Education Institutions in Nigeria

ERIC Educational Resources Information Center

Ololube, Nwachukwu Prince; Agbor, Comfort Nkogho; Major, Nanighe Baldwin; Agabi, Chinyere O.; Wali, Worlu I.

2016-01-01

This research is a continuation of a theoretical review that evaluated ICT Policy Outcomes for National Development in relation to Networked Readiness Index (NRI) and the impact it has on knowledge integration and management in higher education institutions in Nigeria. A new dawn in information technology (IT) has initiated new trends in…

Scotland's knowledge network: a progress report on Knowledge into Action.

PubMed

Wales, Ann; Boyle, Derek

2015-11-01

Launched in 2012, Knowledge into Action is the national knowledge management strategy for the health and social care workforce in Scotland. It is transforming the role of the national digital knowledge service--NHS Education for Scotlands' Knowledge Network--and the NHSS librarian role to offer more active, tailored support for translating knowledge into frontline clinical practice. This includes the development of a national evidence search and summary service, help with converting knowledge into practical and usable formats for easy use at point of care and with using digital tools to share clinicians' learning, experience and expertise. Through this practical support, Knowledge into Action is contributing to quality and safety outcomes across NHS Scotland, building clinicians' capacity and capability in applying knowledge in frontline practice and service improvement. © The Author(s) 2015.

Knowledge in Development: Epistemic Machineries in a Global Context

ERIC Educational Resources Information Center

Evers, Hans-Dieter; Kaiser, Markus; Muller, Christine

2009-01-01

Knowledge has become a decisive and competitive resource for local and global development, especially since the paradigm "knowledge for development" was initiated and promoted by the World Bank in 1998-1999. Through the use of novel management structures and technologically supported social networks, development organisations and…

Managing Distributed Innovation Processes in Virtual Organizations by Applying the Collaborative Network Relationship Analysis

NASA Astrophysics Data System (ADS)

Eschenbächer, Jens; Seifert, Marcus; Thoben, Klaus-Dieter

Distributed innovation processes are considered as a new option to handle both the complexity and the speed in which new products and services need to be prepared. Indeed most research on innovation processes was focused on multinational companies with an intra-organisational perspective. The phenomena of innovation processes in networks - with an inter-organisational perspective - have been almost neglected. Collaborative networks present a perfect playground for such distributed innovation processes whereas the authors highlight in specific Virtual Organisation because of their dynamic behaviour. Research activities supporting distributed innovation processes in VO are rather new so that little knowledge about the management of such research is available. With the presentation of the collaborative network relationship analysis this gap will be addressed. It will be shown that a qualitative planning of collaboration intensities can support real business cases by proving knowledge and planning data.

Managing biological networks by using text mining and computer-aided curation

NASA Astrophysics Data System (ADS)

Yu, Seok Jong; Cho, Yongseong; Lee, Min-Ho; Lim, Jongtae; Yoo, Jaesoo

2015-11-01

In order to understand a biological mechanism in a cell, a researcher should collect a huge number of protein interactions with experimental data from experiments and the literature. Text mining systems that extract biological interactions from papers have been used to construct biological networks for a few decades. Even though the text mining of literature is necessary to construct a biological network, few systems with a text mining tool are available for biologists who want to construct their own biological networks. We have developed a biological network construction system called BioKnowledge Viewer that can generate a biological interaction network by using a text mining tool and biological taggers. It also Boolean simulation software to provide a biological modeling system to simulate the model that is made with the text mining tool. A user can download PubMed articles and construct a biological network by using the Multi-level Knowledge Emergence Model (KMEM), MetaMap, and A Biomedical Named Entity Recognizer (ABNER) as a text mining tool. To evaluate the system, we constructed an aging-related biological network that consist 9,415 nodes (genes) by using manual curation. With network analysis, we found that several genes, including JNK, AP-1, and BCL-2, were highly related in aging biological network. We provide a semi-automatic curation environment so that users can obtain a graph database for managing text mining results that are generated in the server system and can navigate the network with BioKnowledge Viewer, which is freely available at http://bioknowledgeviewer.kisti.re.kr.

Extra-team Connections for Knowledge Transfer between Staff Teams

ERIC Educational Resources Information Center

Ramanadhan, Shoba; Wiecha, Jean L.; Emmons, Karen M.; Gortmaker, Steven L.; Viswanath, Kasisomayajula

2009-01-01

As organizations implement novel health promotion programs across multiple sites, they face great challenges related to knowledge management. Staff social networks may be a useful medium for transferring program-related knowledge in multi-site implementation efforts. To study this potential, we focused on the role of extra-team connections (ties…

Applying Service-Oriented Architecture on The Development of Groundwater Modeling Support System

NASA Astrophysics Data System (ADS)

Li, C. Y.; WANG, Y.; Chang, L. C.; Tsai, J. P.; Hsiao, C. T.

2016-12-01

Groundwater simulation has become an essential step on the groundwater resources management and assessment. There are many stand-alone pre- and post-processing software packages to alleviate the model simulation loading, but the stand-alone software do not consider centralized management of data and simulation results neither do they provide network sharing functions. Hence, it is difficult to share and reuse the data and knowledge (simulation cases) systematically within or across companies. Therefore, this study develops a centralized and network based groundwater modeling support system to assist model construction. The system is based on service-oriented architecture and allows remote user to develop their modeling cases on internet. The data and cases (knowledge) are thus easy to manage centralized. MODFLOW is the modeling engine of the system, which is the most popular groundwater model in the world. The system provides a data warehouse to restore groundwater observations, MODFLOW Support Service, MODFLOW Input File & Shapefile Convert Service, MODFLOW Service, and Expert System Service to assist researchers to build models. Since the system architecture is service-oriented, it is scalable and flexible. The system can be easily extended to include the scenarios analysis and knowledge management to facilitate the reuse of groundwater modeling knowledge.

Treating Depression in Staff-Model Versus Network-Model Managed Care Organizations

PubMed Central

Meredith, Lisa S; Rubenstein, Lisa V; Rost, Kathryn; Ford, Daniel E; Gordon, Nancy; Nutting, Paul; Camp, Patti; Wells, Kenneth B

1999-01-01

OBJECTIVE To compare primary care providers’ depression-related knowledge, attitudes, and practices and to understand how these reports vary for providers in staff or group-model managed care organizations (MCOs) compared with network-model MCOs including independent practice associations and preferred provider organizations. DESIGN Survey of primary care providers’ depression-related practices in 1996. SETTING AND PARTICIPANTS We surveyed 410 providers, from 80 outpatient clinics, in 11 MCOs participating in four studies designed to improve the quality of depression care in primary care. MEASUREMENTS AND MAIN RESULTS We measured knowledge based on depression guidelines, attitudes (beliefs about burden, skill, and barriers) related to depression, and reported behavior. Providers in both types of MCO are equally knowledgeable about treating depression (better knowledge of pharmacologic than psychotherapeutic treatments) and perceive equivalent skills in treating depression. However, compared with network-model providers, staff/group-model providers have stronger beliefs that treating depression is burdensome to their practice. While more staff/group-model providers reported time limitations as a barrier to optimal depression treatment, more network-model providers reported limited access to mental health specialty referral as a barrier. Accordingly, these staff/group-model providers are more likely to treat patients with major depression through referral (51% vs 38%) or to assess but not treat (17% vs 7%), and network-model providers are more likely to prescribe antidepressants (57% vs 6%) as first-line treatment. CONCLUSIONS Whereas the providers from staff/group-model MCOs had greater access to and relied more on referral, the providers from network-model organizations were more likely to treat depression themselves. Given varying attitudes and behaviors, improving primary care for the treatment of depression will require unique strategies beyond enhancing technical knowledge for the two types of MCOs. PMID:9893090

Social networks and secondary health conditions: The critical secondary team for individuals with spinal cord injury

PubMed Central

Guilcher, Sara J. T.; Casciaro, Tiziana; Lemieux-Charles, Louise; Craven, Catharine; McColl, Mary Ann; Jaglal, Susan B.

2012-01-01

Objectives To describe the structure of informal networks for individuals with spinal cord injury (SCI) living in the community, to understand the quality of relationship of informal networks, and to understand the role of informal networks in the prevention and management of secondary health conditions (SHCs). Design Mixed-method descriptive study. Setting Ontario, Canada Participants Community-dwelling adults with an SCI living in Ontario Interventions/methods The Arizona Social Support Interview Survey was used to measure social networks. Participants were asked the following open-ended questions: (1) What have been your experiences with your health care in the community? (2) What have been your experiences with care related to prevention and/or management of SHCs?, (3)What has been the role of your informal social networks (friends/family) related to SHCs? Results Fourteen key informant interviews were conducted (6 men, 8 women). The overall median for available informal networks was 11.0 persons (range 3–19). The informal network engaged in the following roles: (1) advice/validating concerns; (2) knowledge brokers; (3) advocacy; (4) preventing SHCs; (5) assisting with finances; and (6) managing SHCs. Participants described their informal networks as a “secondary team”; a critical and essential force in dealing with SHCs. Conclusions While networks are smaller for persons with SCI compared with the general population, these ties seems to be strong, which is essential when the roles involve a level of trust, certainty, tacit knowledge, and flexibility. These informal networks serve as essential key players in filling the gaps that exist within the formal health care system. PMID:23031170

Learning Management Systems: Practical Considerations for the Selection and Implementation of an E-learning Platform for the Navy

DTIC Science & Technology

2007-01-28

is interested in B2B and B2C e-commerce, enterprise resource planning, e-procurement, supply-chain management, data mining, and knowledge discovery... social networking tools, collaborative spaces, knowledge management, “connecting-enabling” protocols like RSS, and other tools. The intent of the ILE...delivered to them, what learning pedagogy is appropriate for them, the optimal level of social interaction for learning, and available resources

Impact of interprofessional education about psychological and medical comorbidities on practitioners' knowledge and collaborative practice: mixed method evaluation of a national program.

PubMed

Phillips, Christine B; Hall, Sally; Irving, Michelle

2016-09-02

Many patients with chronic physical illnesses have co-morbid psychological illnesses, which may respond to interprofessional collaborative care. Continuing education programs frequently focus on skills and knowledge relevant for individual illnesses, and unidisciplinary care. This study evaluates the impact of "Mind the Gap", an Australian interprofessional continuing education program about management of dual illnesses, on practitioners' knowledge, use of psychological strategies and collaborative practice. A 6-h module addressing knowledge and skills needed for patients with physical and psychological co-morbid illnesses was delivered to 837 practitioners from mixed health professional backgrounds, through locally-facilitated workshops at 45 Australian sites. We conducted a mixed-methods evaluation, incorporating observation, surveys and network analysis using data collected, before, immediately after, and three months after training. Six hundred forty-five participants enrolled in the evaluation (58 % GPs, 17 % nurses, 15 % mental health professionals, response rate 76 %). Participants' knowledge and confidence to manage patients with psychological and physical illnesses improved immediately. Among the subset surveyed at three months (response rate 24 %), referral networks had increased across seven disciplines, improvements in confidence and knowledge were sustained, and doctors, but no other disciplines, reported an increase in use of motivational interviewing (85.9 % to 96.8 %) and mindfulness (58.6 % to 74 %). Interprofessional workshops had an immediate impact on the stated knowledge and confidence of participants to manage patients with physical and psychological comorbidities, which appears to have been sustained. For some attendees, there was a sustained improvement in the size of their referral networks and their use of some psychological strategies.

Adverse Outcome Pathway Network Analyses: Techniques and benchmarking the AOPwiki

EPA Science Inventory

Abstract: As the community of toxicological researchers, risk assessors, and risk managers adopt the adverse outcome pathway (AOP) paradigm for organizing toxicological knowledge, the number and diversity of adverse outcome pathways and AOP networks are continuing to grow. This ...

The Managing Epilepsy Well Network:: Advancing Epilepsy Self-Management.

PubMed

Sajatovic, Martha; Jobst, Barbara C; Shegog, Ross; Bamps, Yvan A; Begley, Charles E; Fraser, Robert T; Johnson, Erica K; Pandey, Dilip K; Quarells, Rakale C; Scal, Peter; Spruill, Tanya M; Thompson, Nancy J; Kobau, Rosemarie

2017-03-01

Epilepsy, a complex spectrum of disorders, affects about 2.9 million people in the U.S. Similar to other chronic disorders, people with epilepsy face challenges related to management of the disorder, its treatment, co-occurring depression, disability, social disadvantages, and stigma. Two national conferences on public health and epilepsy (1997, 2003) and a 2012 IOM report on the public health dimensions of epilepsy highlighted important knowledge gaps and emphasized the need for evidence-based, scalable epilepsy self-management programs. The Centers for Disease Control and Prevention translated recommendations on self-management research and dissemination into an applied research program through the Prevention Research Centers Managing Epilepsy Well (MEW) Network. MEW Network objectives are to advance epilepsy self-management research by developing effective interventions that can be broadly disseminated for use in people's homes, healthcare providers' offices, or in community settings. The aim of this report is to provide an update on the MEW Network research pipeline, which spans efficacy, effectiveness, and dissemination. Many of the interventions use e-health strategies to eliminate barriers to care (e.g., lack of transportation, functional limitations, and stigma). Strengths of this mature research network are the culture of collaboration, community-based partnerships, e-health methods, and its portfolio of prevention activities, which range from efficacy studies engaging hard-to-reach groups, to initiatives focused on provider training and knowledge translation. The MEW Network works with organizations across the country to expand its capacity, help leverage funding and other resources, and enhance the development, dissemination, and sustainability of MEW Network programs and tools. Guided by national initiatives targeting chronic disease or epilepsy burden since 2007, the MEW Network has been responsible for more than 43 scientific journal articles, two study reports, seven book chapters, and 62 presentations and posters. To date, two programs have been adopted and disseminated by the national Epilepsy Foundation, state Epilepsy Foundation affiliates, and other stakeholders. Recent expansion of the MEW Network membership will help to extend future reach and public health impact. Copyright © 2016 American Journal of Preventive Medicine. All rights reserved.

Digging into construction: social networks and their potential impact on knowledge transfer.

PubMed

Carlan, N A; Kramer, D M; Bigelow, P; Wells, R; Garritano, E; Vi, P

2012-01-01

A six-year study is exploring the most effective ways to disseminate ideas to reduce musculoskeletal disorders (MSDs) in the construction sector. The sector was targeted because MSDs account for 35% of all lost time injuries. This paper reports on the organization of the construction sector, and maps potential pathways of communication, including social networks, to set the stage for future dissemination. The managers, health and safety specialists, union health and safety representatives, and 28 workers from small, medium and large construction companies participated. Over a three-year period, data were collected from 47 qualitative interviews. Questions were guided by the PARIHS (Promoting Action on Research Implementation in Health Services) knowledge-transfer conceptual framework and adapted for the construction sector. The construction sector is a complex and dynamic sector, with non-linear reporting relationships, and divided and diluted responsibilities. Four networks were identified that can potentially facilitate the dissemination of new knowledge: worksite-project networks; union networks; apprenticeship program networks; and networks established by the Construction Safety Association/Infrastructure Health and Safety Association. Flexible and multi-directional lines of communication must be used in this complex environment. This has implications for the future choice of knowledge transfer strategies.

Contributions of Traditional Web 1.0 Tools e.g. Email and Web 2.0 Tools e.g. Weblog towards Knowledge Management

ERIC Educational Resources Information Center

Dehinbo, Johnson

2010-01-01

The use of email utilizes the power of Web 1.0 to enable users to access their email from any computer and mobile devices that is connected to the Internet making email valuable in acquiring and transferring knowledge. But the advent of Web 2.0 and social networking seems to indicate certain limitations of email. The use of social networking seems…

The Network Configuration of an Object Relational Database Management System

NASA Technical Reports Server (NTRS)

Diaz, Philip; Harris, W. C.

2000-01-01

The networking and implementation of the Oracle Database Management System (ODBMS) requires developers to have knowledge of the UNIX operating system as well as all the features of the Oracle Server. The server is an object relational database management system (DBMS). By using distributed processing, processes are split up between the database server and client application programs. The DBMS handles all the responsibilities of the server. The workstations running the database application concentrate on the interpretation and display of data.

An Integrative Model of Organizational Learning and Social Capital on Effective Knowledge Transfer and Perceived Organizational Performance

ERIC Educational Resources Information Center

Rhodes, Jo; Lok, Peter; Hung, Richard Yu-Yuan; Fang, Shih-Chieh

2008-01-01

Purpose: The purpose of this paper is to set out to examine the relationships of organizational learning, social capital and the effectiveness of knowledge transfer and perceived organisational performance. Integrating organizational learning capability with social capital networks to shape a holistic knowledge sharing and management enterprise…

The Effect of Centralization and Cohesion on the Social Construction of Knowledge in Discussion Forums

ERIC Educational Resources Information Center

Tirado, Ramón; Hernando, Ángel; Aguaded, José Ignacio

2015-01-01

Interactive relationships in online learning communities can influence the process and quality of knowledge building. The aim of this study is to empirically investigate the relationships between network structures and social knowledge building in an asynchronous writing environment through discussion forums in a learning management system. The…

The Effect of Centralization and Cohesion on the Social Construction of Knowledge in Discussion Forums

ERIC Educational Resources Information Center

Tirado, Ramon; Hernando, Angel; Aguaded, Jose Ignacio

2012-01-01

Interactive relationships in online learning communities can influence the process and quality of knowledge building. The aim of this study is to empirically investigate the relationships between network structures and social knowledge building in an asynchronous writing environment through discussion forums in a learning management system. The…

Research on promotion of management of children with psychosomatic and psychosocial disorders in Japan.

PubMed

Ishizaki, Yuko; Kobayashi, Yohnosuke; Yamagata, Zentaro; Eto, Takashi; Hoshika, Akinori; Kano, Yukiko; Koeda, Tatsuya; Miike, Teruhisa; Oki, Junichi; Tanaka, Hidetaka; Watanabe, Hisako

2005-06-01

The number of children with psychosomatic and psychosocial disorders has been increasing in Japan. There are, however, few trained pediatricians who have adequate knowledge of the treatment needed. The Research Group on the Promotion of Management of Children with Psychosomatic and Psychosocial Disorders carried out the present study to (i) disseminate knowledge about psychosomatic and psychosocial disorders of children; and (ii) establish a community-based network model to ensure effective communication among relevant institutions. To disseminate knowledge of the psychosocial and psychosomatic disorders, the Research Group compiled the Handbook for Psychosomatic Disorders of Children and distributed it to pediatricians throughout Japan. A follow-up questionnaire survey was then carried out. Also, in order to examine the current status of the communication network between pediatricians and the related institutions, the Research Group conducted a questionnaire survey on general pediatricians. Sixty-five percent of the respondents indicated that they were actually using the Handbook. The topics in the Handbook that were most frequently referred to by the respondents were attention deficit hyperactivity disorders, school refusal, eating disorders, and orthostatic dysregulation. Thirty-seven percent of the participants indicated changes in their behavior towards psychosomatic and psychosocial problems. The results of the survey on communication networks found that the pediatricians generally collaborated with different institutions depending on the nature of the problems, such as school refusal and bullying, developmental disorders, child abuse and maltreatment, and others. Promotion of the Handbook would greatly contribute to improving the management of children with psychosomatic and psychosocial disorders, together with the construction of the basic network model for management of these children.

Information seeking for making evidence-informed decisions: a social network analysis on the staff of a public health department in Canada.

PubMed

Yousefi-Nooraie, Reza; Dobbins, Maureen; Brouwers, Melissa; Wakefield, Patricia

2012-05-16

Social network analysis is an approach to study the interactions and exchange of resources among people. It can help understanding the underlying structural and behavioral complexities that influence the process of capacity building towards evidence-informed decision making. A social network analysis was conducted to understand if and how the staff of a public health department in Ontario turn to peers to get help incorporating research evidence into practice. The staff were invited to respond to an online questionnaire inquiring about information seeking behavior, identification of colleague expertise, and friendship status. Three networks were developed based on the 170 participants. Overall shape, key indices, the most central people and brokers, and their characteristics were identified. The network analysis showed a low density and localized information-seeking network. Inter-personal connections were mainly clustered by organizational divisions; and people tended to limit information-seeking connections to a handful of peers in their division. However, recognition of expertise and friendship networks showed more cross-divisional connections. Members of the office of the Medical Officer of Health were located at the heart of the department, bridging across divisions. A small group of professional consultants and middle managers were the most-central staff in the network, also connecting their divisions to the center of the information-seeking network. In each division, there were some locally central staff, mainly practitioners, who connected their neighboring peers; but they were not necessarily connected to other experts or managers. The methods of social network analysis were useful in providing a systems approach to understand how knowledge might flow in an organization. The findings of this study can be used to identify early adopters of knowledge translation interventions, forming Communities of Practice, and potential internal knowledge brokers.

A multi-agent intelligent environment for medical knowledge.

PubMed

Vicari, Rosa M; Flores, Cecilia D; Silvestre, André M; Seixas, Louise J; Ladeira, Marcelo; Coelho, Helder

2003-03-01

AMPLIA is a multi-agent intelligent learning environment designed to support training of diagnostic reasoning and modelling of domains with complex and uncertain knowledge. AMPLIA focuses on the medical area. It is a system that deals with uncertainty under the Bayesian network approach, where learner-modelling tasks will consist of creating a Bayesian network for a problem the system will present. The construction of a network involves qualitative and quantitative aspects. The qualitative part concerns the network topology, that is, causal relations among the domain variables. After it is ready, the quantitative part is specified. It is composed of the distribution of conditional probability of the variables represented. A negotiation process (managed by an intelligent MediatorAgent) will treat the differences of topology and probability distribution between the model the learner built and the one built-in in the system. That negotiation process occurs between the agents that represent the expert knowledge domain (DomainAgent) and the agent that represents the learner knowledge (LearnerAgent).

Measuring Intangible Assets: Assessing the Impact of Knowledge Management in the S&T Fight Against Terrorism

DTIC Science & Technology

2009-12-01

standards for assessing the value of intangible assets or intellectual capital. Historically, a number of frameworks have evolved, each with a ...different focus and a different assessment methodology. In order to assess that knowledge management initiatives contributed to the fight against...terrorism in Canada, a results-based framework was selected, customized and applied to CRTI ( a networked science and technology program to counter

Reasoning and Knowledge Acquisition Framework for 5G Network Analytics

PubMed Central

2017-01-01

Autonomic self-management is a key challenge for next-generation networks. This paper proposes an automated analysis framework to infer knowledge in 5G networks with the aim to understand the network status and to predict potential situations that might disrupt the network operability. The framework is based on the Endsley situational awareness model, and integrates automated capabilities for metrics discovery, pattern recognition, prediction techniques and rule-based reasoning to infer anomalous situations in the current operational context. Those situations should then be mitigated, either proactive or reactively, by a more complex decision-making process. The framework is driven by a use case methodology, where the network administrator is able to customize the knowledge inference rules and operational parameters. The proposal has also been instantiated to prove its adaptability to a real use case. To this end, a reference network traffic dataset was used to identify suspicious patterns and to predict the behavior of the monitored data volume. The preliminary results suggest a good level of accuracy on the inference of anomalous traffic volumes based on a simple configuration. PMID:29065473

Reasoning and Knowledge Acquisition Framework for 5G Network Analytics.

PubMed

Sotelo Monge, Marco Antonio; Maestre Vidal, Jorge; García Villalba, Luis Javier

2017-10-21

Autonomic self-management is a key challenge for next-generation networks. This paper proposes an automated analysis framework to infer knowledge in 5G networks with the aim to understand the network status and to predict potential situations that might disrupt the network operability. The framework is based on the Endsley situational awareness model, and integrates automated capabilities for metrics discovery, pattern recognition, prediction techniques and rule-based reasoning to infer anomalous situations in the current operational context. Those situations should then be mitigated, either proactive or reactively, by a more complex decision-making process. The framework is driven by a use case methodology, where the network administrator is able to customize the knowledge inference rules and operational parameters. The proposal has also been instantiated to prove its adaptability to a real use case. To this end, a reference network traffic dataset was used to identify suspicious patterns and to predict the behavior of the monitored data volume. The preliminary results suggest a good level of accuracy on the inference of anomalous traffic volumes based on a simple configuration.

Evaluation of a mobile social networking application for improving diabetes Type 2 knowledge: an intervention study using WhatsApp.

PubMed

Turki, Alanzi; Sulaiman, Bah; Sara, Alzahrani; Sirah, Alshammari; Fatima, Almunsef

2018-06-26

The aim of this study is to evaluate the WhatsApp social networking application for improving knowledge, self-efficacy and awareness about diabetes management. The study was conducted with intervention and control groups at Teaching Hospital in Al-Khobar, Saudi Arabia. The intervention group received weekly educational messages using WhatsApp, while the control group received regular care. Statistically, compared with the control group, the diabetes knowledge and self-efficacy of the intervention group increased significantly after the intervention with the WhatsApp application. The WhatsApp application can be effectively used for enhancing diabetes knowledge, self-efficacy and awareness among the Saudi population.

A data management proposal to connect in a hierarchical way nodes of the Spanish Long Term Ecological Research (LTER) network

NASA Astrophysics Data System (ADS)

Fuentes, Daniel; Pérez-Luque, Antonio J.; Bonet García, Francisco J.; Moreno-LLorca, Ricardo A.; Sánchez-Cano, Francisco M.; Suárez-Muñoz, María

2017-04-01

The Long Term Ecological Research (LTER) network aims to provide the scientific community, policy makers, and society with the knowledge and predictive understanding necessary to conserve, protect, and manage the ecosystems. LTER is organized into networks ranging from the global to national scale. In the top of network, the International Long Term Ecological Research (ILTER) Network coordinates among ecological researchers and LTER research networks at local, regional and global scales. In Spain, the Spanish Long Term Ecological Research (LTER-Spain) network was built to foster the collaboration and coordination between longest-lived ecological researchers and networks on a local scale. Currently composed by nine nodes, this network facilitates the data exchange, documentation and preservation encouraging the development of cross-disciplinary works. However, most nodes have no specific information systems, tools or qualified personnel to manage their data for continued conservation and there are no harmonized methodologies for long-term monitoring protocols. Hence, the main challenge is to place the nodes in its correct position in the network, providing the best tools that allow them to manage their data autonomously and make it easier for them to access information and knowledge in the network. This work proposes a connected structure composed by four LTER nodes located in southern Spain. The structure is built considering hierarchical approach: nodes that create information which is documented using metadata standards (such as Ecological Metadata Language, EML); and others nodes that gather metadata and information. We also take into account the capacity of each node to manage their own data and the premise that the data and metadata must be maintained where it is generated. The current state of the nodes is a follows: two of them have their own information management system (Sierra Nevada-Granada and Doñana Long-Term Socio-ecological Research Platform) and another has no infrastructure to maintain their data (The Arid Iberian South East LTSER Platform). The last one (Environmental Information Network of Andalusia-REDIAM) acts as the coordinator, providing physical and logical support to other nodes and also gathers and distributes the information "uphill" to the rest of the network (LTER Europe and ILTER). The development of the network has been divided in three stages. First, existing resources and data management requirements are identified in each node. Second, the necessary software tools and interoperable standards to manage and exchange the data have been selected, installed and configured in each participant. Finally, once the network has been set up completely, it is expected to expand it all over Spain with new nodes and its connection to others LTER and similar networks. This research has been funded by ADAPTAMED (Protection of key ecosystem services by adaptive management of Climate Change endangered Mediterranean socioecosystems) Life EU project, Sierra Nevada Global Change Observatory (LTER-site) and eLTER (Integrated European Long Term Ecosystem & Socio-Ecological Research Infrastructure).

The influence of management and environment on local health department organizational structure and adaptation: a longitudinal network analysis.

PubMed

Keeling, Jonathan W; Pryde, Julie A; Merrill, Jacqueline A

2013-01-01

The nation's 2862 local health departments (LHDs) are the primary means for assuring public health services for all populations. The objective of this study is to assess the effect of organizational network analysis on management decisions in LHDs and to demonstrate the technique's ability to detect organizational adaptation over time. We conducted a longitudinal network analysis in a full-service LHD with 113 employees serving about 187,000 persons. Network survey data were collected from employees at 3 times: months 0, 8, and 34. At time 1 the initial analysis was presented to LHD managers as an intervention with information on evidence-based management strategies to address the findings. At times 2 and 3 interviews documented managers' decision making and events in the task environment. Response rates for the 3 network analyses were 90%, 97%, and 83%. Postintervention (time 2) results showed beneficial changes in network measures of communication and integration. Screening and case identification increased for chlamydia and for gonorrhea. Outbreak mitigation was accelerated by cross-divisional teaming. Network measurements at time 3 showed LHD adaptation to H1N1 and budget constraints with increased centralization. Task redundancy increased dramatically after National Incident Management System training. Organizational network analysis supports LHD management with empirical evidence that can be translated into strategic decisions about communication, allocation of resources, and addressing knowledge gaps. Specific population health outcomes were traced directly to management decisions based on network evidence. The technique can help managers improve how LHDs function as organizations and contribute to our understanding of public health systems.

Hyporheic network (Hyporheisches Netzwerk)

NASA Astrophysics Data System (ADS)

Lewandowski, J.; Fleckenstein, J.; Hoehn, E.; Nützmann, G.; Radke, M.; Saenger, N.; Schmidt, C.

2009-04-01

The transition zone between surface waters like streams and rivers and the adjacent aquifers is a zone of paramount ecological importance. Due to the complexity of exchange processes, their temporal variability, and the spatial heterogeneity of the ecotone, the understanding and ability to modell the hydrodynamic, hydrochemical, and (micro-)biological processes is still limited. Therefore, a network of scientists and practitioners involved in research and management of hyporheic zones in German-speaking countries (Germany, Switzerland, Austria) is propsed in analogy to the hyporheic network (www.hyporheic.net) in the UK. The initiators of the network anticipate that an intense scientific exchange of knowledge and methods will improve our understanding of hyporheic processes and in turn our ability to manage them. The network will facilitate the formation of research groups to identify and understand key processes and their interactions. Research will be focused at a few major study sites, to bring together different expertise to allow more detailed, interdisciplinary investigations. Those sites can serve as crystallisation points for new research projects. Exchange within the network will be organized via an internet platform (www.hyporheisches-netzwerk.de), regular workshops, and several working groups dealing with different topics. A fast knowledge transfer is a further aim of the collaboration in order to shorten the time-lag between scientific findings and their implementation into management practice. Water resources management authorities should also be involved in the network to address urgent problems and direct some capacities to answer those questions. For instance, changes in geomorphology, water and temperature regimes as well as other anthropogenic impacts might increase the need for cold water refugia and altered flow regimes to maintain biodiversity. Additional qualitative improvements are required by the EU water framework directive.

Findings from an Organizational Network Analysis to Support Local Public Health Management

PubMed Central

Caldwell, Michael; Rockoff, Maxine L.; Gebbie, Kristine; Carley, Kathleen M.; Bakken, Suzanne

2008-01-01

We assessed the feasibility of using organizational network analysis in a local public health organization. The research setting was an urban/suburban county health department with 156 employees. The goal of the research was to study communication and information flow in the department and to assess the technique for public health management. Network data were derived from survey questionnaires. Computational analysis was performed with the Organizational Risk Analyzer. Analysis revealed centralized communication, limited interdependencies, potential knowledge loss through retirement, and possible informational silos. The findings suggested opportunities for more cross program coordination but also suggested the presences of potentially efficient communication paths and potentially beneficial social connectedness. Managers found the findings useful to support decision making. Public health organizations must be effective in an increasingly complex environment. Network analysis can help build public health capacity for complex system management. PMID:18481183

Leveraging Social Networking Technologies: An Analysis of the Knowledge Flows Facilitated by Social Media and the Potential Improvements in Situational Awareness, Readiness, and Productivity

DTIC Science & Technology

2010-09-01

articulating perception, interpretation and actionable prediction in an operational environment . BCKS’ success with digital storytelling has far...podcasts; wikis and other collaborative spaces; social networks such as Facebook and LinkedIn; other user generated content; virtual social environments ...study of Xerox’s knowledge management systems noting that 80% of its IT was focused on adapting to the social dynamics of its workplace environment

A Landscape Approach to Invasive Species Management.

PubMed

Lurgi, Miguel; Wells, Konstans; Kennedy, Malcolm; Campbell, Susan; Fordham, Damien A

2016-01-01

Biological invasions are not only a major threat to biodiversity, they also have major impacts on local economies and agricultural production systems. Once established, the connection of local populations into metapopulation networks facilitates dispersal at landscape scales, generating spatial dynamics that can impact the outcome of pest-management actions. Much planning goes into landscape-scale invasive species management. However, effective management requires knowledge on the interplay between metapopulation network topology and management actions. We address this knowledge gap using simulation models to explore the effectiveness of two common management strategies, applied across different extents and according to different rules for selecting target localities in metapopulations with different network topologies. These management actions are: (i) general population reduction, and (ii) reduction of an obligate resource. The reduction of an obligate resource was generally more efficient than population reduction for depleting populations at landscape scales. However, the way in which local populations are selected for management is important when the topology of the metapopulation is heterogeneous in terms of the distribution of connections among local populations. We tested these broad findings using real-world scenarios of European rabbits (Oryctolagus cuniculus) infesting agricultural landscapes in Western Australia. Although management strategies targeting central populations were more effective in simulated heterogeneous metapopulation structures, no difference was observed in real-world metapopulation structures that are highly homogeneous. In large metapopulations with high proximity and connectivity of neighbouring populations, different spatial management strategies yield similar outcomes. Directly considering spatial attributes in pest-management actions will be most important for metapopulation networks with heterogeneously distributed links. Our modelling framework provides a simple approach for identifying the best possible management strategy for invasive species based on metapopulation structure and control capacity. This information can be used by managers trying to devise efficient landscape-oriented management strategies for invasive species and can also generate insights for conservation purposes.

Collaboration Across Worldviews: Managers and Scientists on Hawai'i Island Utilize Knowledge Coproduction to Facilitate Climate Change Adaptation.

PubMed

Laursen, Scott; Puniwai, Noelani; Genz, Ayesha S; Nash, Sarah A B; Canale, Lisa K; Ziegler-Chong, Sharon

2018-05-30

Complex socio-ecological issues, such as climate change have historically been addressed through technical problem solving methods. Yet today, climate science approaches are increasingly accounting for the roles of diverse social perceptions, experiences, cultural norms, and worldviews. In support of this shift, we developed a research program on Hawai'i Island that utilizes knowledge coproduction to integrate the diverse worldviews of natural and cultural resource managers, policy professionals, and researchers within actionable science products. Through their work, local field managers regularly experience discrete land and waterscapes. Additionally, in highly interconnected rural communities, such as Hawai'i Island, managers often participate in the social norms and values of communities that utilize these ecosystems. Such local manager networks offer powerful frameworks within which to co-develop and implement actionable science. We interviewed a diverse set of local managers with the aim of incorporating their perspectives into the development of a collaborative climate change research agenda that builds upon existing professional networks utilized by managers and scientists while developing new research products. We report our manager needs assessment, the development process of our climate change program, our interactive forums, and our ongoing research products. Our needs assessment showed that the managers' primary source of information were other professional colleagues, and our in-person forums informed us that local managers are very interested in interacting with a wider range of networks to build upon their management capacities. Our initial programmatic progress suggests that co-created research products and in-person forums strengthen the capacities of local managers to adapt to change.

Just-in-Time Employees: UPS and the Knowledge Supply Chain. Tomorrow's Workplace Today: Profiles of Excellence in Business Leadership, Volume 1, Number 1.

ERIC Educational Resources Information Center

Alden, John

All businesses are grappling with knowledge networks--finding the right employees at the right time with the right knowledge and skills. The National Alliance of Business, MIT, and others have been working on an intriguing way to look at labor supply and demand issues called knowledge supply chain management. UPS (United Parcel Service) manages…

Resource Discovery within the Networked "Hybrid" Library.

ERIC Educational Resources Information Center

Leigh, Sally-Anne

This paper focuses on the development, adoption, and integration of resource discovery, knowledge management, and/or knowledge sharing interfaces such as interactive portals, and the use of the library's World Wide Web presence to increase the availability and usability of information services. The introduction addresses changes in library…

An Exploration of Learning, the Knowledge-Based Economy, and Owner-Managers of Small Bookselling Businesses.

ERIC Educational Resources Information Center

Paige, Helen

2002-01-01

A qualitative study of six owner/managers of small Australian bookselling businesses elicited these themes: participation in learning is largely informal or incidental; interaction with information/communication technologies is less than optimal; and small business management relies on personal and business networking. Ways to develop a more…

Using web-based technology to deliver scientific knowledge: the Southern Forest Encyclopedia Network.

Treesearch

John M. Pye; H. Michael Rauscher; Deborah K. Kennard; Patricia A. Flebbe; J. Bryan Jordin; William G. Hubbard; Cynthia Fowler; James Ward

2007-01-01

Forest science, like any science, is a continuous process of discovering new knowledge, reevaluating existing knowledge, and revising our theories and management practices in light of these changes. The forest science community has not yet found the solution to the problem of getting continuously changing science efficiently and effectively into the hands of those who...

Looking Through a Social Lens: Conceptualising Social Aspects of Knowledge Management for Global Health Practitioners

PubMed Central

Limaye, Rupali J.; Sullivan, Tara M.; Dalessandro, Scott; Jenkins, Ann Hendrix

2017-01-01

Knowledge management plays a critical role in global health. Global health practitioners require knowledge in every aspect of their jobs, and in resource-scarce contexts, practitioners must be able to rely on a knowledge management system to access the latest research and practice to ensure the highest quality of care. However, we suggest that there is a gap in the way knowledge management is primarily utilized in global health, namely, the systematic incorporation of human and social factors. In this paper, we briefly outline the evolution of knowledge management and then propose a conceptualization of knowledge management that incorporates human and social factors for use within a global health context. Our conceptualization of social knowledge management recognizes the importance of social capital, social learning, social software and platforms, and social networks, all within the context of a larger social system and driven by social benefit. We then outline the limitations and discuss future directions of our conceptualization, and suggest how this new conceptualization is essential for any global health practitioner in the business of managing knowledge. Significance for public health Managing knowledge is essential for improving population health outcomes. Global health practitioners at all levels of the health system are bombarded with information related to best practices and guideline changes, among other relevant information to provide the best quality of care. Knowledge management, or the act of effectively using knowledge, has yet to capitalize on the power of social connections within the context of global health. While social elements have been incorporated into knowledge management activities, we suggest that systematically integrating key concepts that leverage social connections, such as social systems, social capital, social learning, and social software, will yield greater benefit with regard to health outcomes. As such, we outline a new conceptualization of knowledge management, focusing on the social aspects of the practice, and posit that such an approach can further the impact of global health interventions and is crucial for global health practitioners. PMID:28480173

The European Paediatric Mycology Network (EPMyN): Towards a Better Understanding and Management of Fungal Infections in Children.

PubMed

Warris, Adilia

The European Paediatric Mycology Network (EPMyN) was launched in 2014 to create a European platform for research and education in the field of paediatric mycology. The EPMyN aims to address the lack of paediatric specific evidence and knowledge needed to (1) improve the management and outcome of invasive fungal infections in children and neonates and to (2) enhance and develop paediatric antifungal stewardship programmes.

A Knowledge Navigation Method for the Domain of Customers' Services of Mobile Communication Corporations in China

NASA Astrophysics Data System (ADS)

Wu, Jiangning; Wang, Xiaohuan

Rapidly increasing amount of mobile phone users and types of services leads to a great accumulation of complaining information. How to use this information to enhance the quality of customers' services is a big issue at present. To handle this kind of problem, the paper presents an approach to construct a domain knowledge map for navigating the explicit and tacit knowledge in two ways: building the Topic Map-based explicit knowledge navigation model, which includes domain TM construction, a semantic topic expansion algorithm and VSM-based similarity calculation; building Social Network Analysis-based tacit knowledge navigation model, which includes a multi-relational expert navigation algorithm and the criterions to evaluate the performance of expert networks. In doing so, both the customer managers and operators in call centers can find the appropriate knowledge and experts quickly and exactly. The experimental results show that the above method is very powerful for knowledge navigation.

Social Networks, the ‘Work’ and Work Force of Chronic Illness Self-Management: A Survey Analysis of Personal Communities

PubMed Central

Vassilev, Ivaylo; Rogers, Anne; Blickem, Christian; Brooks, Helen; Kapadia, Dharmi; Kennedy, Anne; Sanders, Caroline; Kirk, Sue; Reeves, David

2013-01-01

Self-management support forms a central aspect of chronic Illness management nationally and globally. Evidence for the success of self-management support has mainly focussed on individually-centred outcomes of behavioural change. While it is recognised that social network members play an important role there is currently a gap in knowledge regarding who provides what type of support and under what circumstances. This is relevant for understanding the division of labour and the meeting of needs for those living with a long-term condition. We therefore took a network approach to explore self-management support conceptualising it as types of illness ‘work’ undertaken within peoples’ social networks. 300 people from deprived areas and with chronic illnesses took part in a survey conducted in 2010 in the North West of England. A concentric circles diagram was used as a research tool with which participants identified 2,544 network members who contributed to illness management. The results provide an articulation of how social network members are substantially involved in illness management. Whilst partners and close family make the highest contributions there is evidence of inputs from a wide range of relationships. Network member characteristics (type of relationship, proximity, frequency of contact) impact on the amount of illness work undertaken in peoples’ networks. In networks with ‘no partner’ other people tend to contribute more in the way of illness related work than in networks with a partner. This indicates a degree of substitutability between differently constituted networks, and that the level and type of input by different members of a network might change according to circumstances. A network perspective offers an opportunity to redress the balance of an exclusively individual focus on self-management because it addresses the broader set of contributions and resources available to people in need of chronic illness management and support. PMID:23565162

Design of Knowledge Management System for Diabetic Complication Diseases

NASA Astrophysics Data System (ADS)

Fiarni, Cut

2017-01-01

This paper examines how to develop a Model for Knowledge Management System (KMS) for diabetes complication diseases. People with diabetes have a higher risk of developing a series of serious health problems. Each patient has different condition that could lead to different disease and health problem. But, with the right information, patient could have early detection so the health risk could be minimized and avoided. Hence, the objective of this research is to propose a conceptual framework that integrates social network model, Knowledge Management activities, and content based reasoning (CBR) for designing such a diabetes health and complication disease KMS. The framework indicates that the critical knowledge management activities are in the process to find similar case and the index table for algorithm to fit the framework for the social media. With this framework, KMS developers can work with healthcare provider to easily identify the suitable IT associated with the CBR process when developing a diabetes KMS.

Managing Epilepsy Well: Emerging e-Tools for epilepsy self-management.

PubMed

Shegog, Ross; Bamps, Yvan A; Patel, Archna; Kakacek, Jody; Escoffery, Cam; Johnson, Erica K; Ilozumba, Ukwuoma O

2013-10-01

The Managing Epilepsy Well (MEW) Network was established in 2007 by the Centers for Disease Control and Prevention Epilepsy Program to expand epilepsy self-management research. The network has employed collaborative research strategies to develop, test, and disseminate evidence-based, community-based, and e-Health interventions (e-Tools) for epilepsy self-management for people with epilepsy, caregivers, and health-care providers. Since its inception, MEW Network collaborators have conducted formative studies (n=7) investigating the potential of e-Health to support epilepsy self-management and intervention studies evaluating e-Tools (n=5). The MEW e-Tools (the MEW website, WebEase, UPLIFT, MINDSET, and PEARLS online training) and affiliated e-Tools (Texting 4 Control) are designed to complement self-management practices in each phase of the epilepsy care continuum. These tools exemplify a concerted research agenda, shared methodological principles and models for epilepsy self-management, and a communal knowledge base for implementing e-Health to improve quality of life for people with epilepsy. © 2013.

Knowledge management for systems biology a general and visually driven framework applied to translational medicine.

PubMed

Maier, Dieter; Kalus, Wenzel; Wolff, Martin; Kalko, Susana G; Roca, Josep; Marin de Mas, Igor; Turan, Nil; Cascante, Marta; Falciani, Francesco; Hernandez, Miguel; Villà-Freixa, Jordi; Losko, Sascha

2011-03-05

To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype-phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene--disease and gene--compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development.

Knowledge management for systems biology a general and visually driven framework applied to translational medicine

PubMed Central

2011-01-01

Background To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype - phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. Results To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. Conclusions We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene - disease and gene - compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development. PMID:21375767

Information Resources Usage in Project Management Digital Learning System

ERIC Educational Resources Information Center

Davidovitch, Nitza; Belichenko, Margarita; Kravchenko, Yurii

2017-01-01

The article combines a theoretical approach to structuring knowledge that is based on the integrated use of fuzzy semantic network theory predicates, Boolean functions, theory of complexity of network structures and some practical aspects to be considered in the distance learning at the university. The paper proposes a methodological approach that…

Enterprise Social Networking: Technology Acceptance Related to Personality, Age, and Gender

ERIC Educational Resources Information Center

Rochelle, Joseph

2017-01-01

In this dissertation, the researcher examined and added to the body of knowledge within the project change management field of technology implementation. The rationale behind the study was to evaluate technology acceptance of Enterprise Social Networking (ESN), which has been widely implemented across over 90% of the "Fortune" 500…

Information seeking for making evidence-informed decisions: a social network analysis on the staff of a public health department in Canada

PubMed Central

2012-01-01

Background Social network analysis is an approach to study the interactions and exchange of resources among people. It can help understanding the underlying structural and behavioral complexities that influence the process of capacity building towards evidence-informed decision making. A social network analysis was conducted to understand if and how the staff of a public health department in Ontario turn to peers to get help incorporating research evidence into practice. Methods The staff were invited to respond to an online questionnaire inquiring about information seeking behavior, identification of colleague expertise, and friendship status. Three networks were developed based on the 170 participants. Overall shape, key indices, the most central people and brokers, and their characteristics were identified. Results The network analysis showed a low density and localized information-seeking network. Inter-personal connections were mainly clustered by organizational divisions; and people tended to limit information-seeking connections to a handful of peers in their division. However, recognition of expertise and friendship networks showed more cross-divisional connections. Members of the office of the Medical Officer of Health were located at the heart of the department, bridging across divisions. A small group of professional consultants and middle managers were the most-central staff in the network, also connecting their divisions to the center of the information-seeking network. In each division, there were some locally central staff, mainly practitioners, who connected their neighboring peers; but they were not necessarily connected to other experts or managers. Conclusions The methods of social network analysis were useful in providing a systems approach to understand how knowledge might flow in an organization. The findings of this study can be used to identify early adopters of knowledge translation interventions, forming Communities of Practice, and potential internal knowledge brokers. PMID:22591757

Using a network modularity analysis to inform management of a rare endemic plant in the northern Great Plains, USA

USGS Publications Warehouse

Larson, Diane L.; Droege, Sam; Rabie, Paul A.; Larson, Jennifer L.; Devalez, Jelle; Haar, Milton; McDermott-Kubeczko, Margaret

2014-01-01

1. Analyses of flower-visitor interaction networks allow application of community-level information to conservation problems, but management recommendations that ensue from such analyses are not well characterized. Results of modularity analyses, which detect groups of species (modules) that interact more with each other than with species outside their module, may be particularly applicable to management concerns. 2. We conducted modularity analyses of networks surrounding a rare endemic annual plant, Eriogonum visheri, at Badlands National Park, USA, in 2010 and 2011. Plant species visited were determined by pollen on insect bodies and by flower species upon which insects were captured. Roles within modules (network hub, module hub, connector and peripheral, in decreasing order of network structural importance) were determined for each species. 3. Relationships demonstrated by the modularity analysis, in concert with knowledge of pollen species carried by insects, allowed us to infer effects of two invasive species on E. visheri. Sharing a module increased risk of interspecific pollen transfer to E. visheri. Control of invasive Salsola tragus, which shared a module with E. visheri, is therefore a prudent management objective, but lack of control of invasive Melilotus officinalis, which occupied a different module, is unlikely to negatively affect pollination of E. visheri. Eriogonum pauciflorum may occupy a key position in this network, supporting insects from the E. visheri module when E. visheri is less abundant. 4. Year-to-year variation in species' roles suggests management decisions must be based on observations over several years. Information on pollen deposition on stigmas would greatly strengthen inferences made from the modularity analysis. 5. Synthesis and applications: Assessing the consequences of pollination, whether at the community or individual level, is inherently time-consuming. A trade-off exists: rather than an estimate of fitness effects, the network approach provides a broad understanding of the relationships among insect visitors and other plant species that may affect the focal rare plant. Knowledge of such relationships allows managers to detect, target and prioritize control of only the important subset of invasive species present and identify other species that may augment a rare species' population stability, such as E. pauciflorum in our study.

Computational Modeling and Analysis of Networked Organizational Planning in a Coalition Maritime Strike Environment

DTIC Science & Technology

2006-06-01

KMO ) for the CFMCC staff. That officer had a daily meeting with all of the CFMCC’s collateral duty knowledge managers (KM) to discuss information...analyses of process steps) and mentored by the KMO , could enhance knowledge creation and utilization while not jeopardizing work flows. Clearly in

Feasibility of certified quality management in a comprehensive stroke care network using telemedicine: STENO project.

PubMed

Handschu, René; Scibor, Mateusz; Wacker, Angela; Stark, David R; Köhrmann, Martin; Erbguth, Frank; Oschmann, Patrick; Schwab, Stefan; Marquardt, Lars

2014-12-01

Stroke care networks with and without telemedicine have been established in several countries over the last decade to provide specialized stroke expertise to patients in rural areas. Acute consultation is a first step in the management of stroke, but not the only one. Methods of standardization of care and treatment are much needed. So far, quality management systems have only been used for single stroke units. To the best of our knowledge, we are the first stroke network worldwide to aim for certification of a network-wide quality management system. The Stroke Network Using Telemedicine in Northern Bavaria (STENO), currently with 20 associated medical institutions, is one of the world's largest stroke networks, caring for over 5000 stroke patients each year. In 2010, we initiated the implementation of a network-wide 'total' quality management system according to ISO standard 9001:2008 in cooperation with the German Stroke Society and a third-party certification organization (LGA InterCert). Certification according to ISO 9001:2008 was awarded in March 2011 and maintained over a complete certification cycle of 3 years without major deviation from the norm in three external third-party audits. Thrombolysis rate significantly increased from 8·2% (2009) to 12·8% (2012). Certified quality management within a large stroke network using telemedicine is possible and might improve stroke care procedures and thrombolysis rates. Outcome studies comparing conventional stroke care and telestroke care are inevitable. © 2014 World Stroke Organization.

Building AN International Polar Data Coordination Network

NASA Astrophysics Data System (ADS)

Pulsifer, P. L.; Yarmey, L.; Manley, W. F.; Gaylord, A. G.; Tweedie, C. E.

2013-12-01

In the spirit of the World Data Center system developed to manage data resulting from the International Geophysical Year of 1957-58, the International Polar Year 2007-2009 (IPY) resulted in significant progress towards establishing an international polar data management network. However, a sustained international network is still evolving. In this paper we argue that the fundamental building blocks for such a network exist and that the time is right to move forward. We focus on the Arctic component of such a network with linkages to Antarctic network building activities. A review of an important set of Network building blocks is presented: i) the legacy of the IPY data and information service; ii) global data management services with a polar component (e.g. World Data System); iii) regional systems (e.g. Arctic Observing Viewer; iv) nationally focused programs (e.g. Arctic Observing Viewer, Advanced Cooperative Arctic Data and Information Service, Polar Data Catalogue, Inuit Knowledge Centre); v) programs focused on the local (e.g. Exchange for Local Observations and Knowledge of the Arctic, Geomatics and Cartographic Research Centre). We discuss current activities and results with respect to three priority areas needed to establish a strong and effective Network. First, a summary of network building activities reports on a series of productive meetings, including the Arctic Observing Summit and the Polar Data Forum, that have resulted in a core set of Network nodes and participants and a refined vision for the Network. Second, we recognize that interoperability for information sharing fundamentally relies on the creation and adoption of community-based data description standards and data delivery mechanisms. There is a broad range of interoperability frameworks and specifications available; however, these need to be adapted for polar community needs. Progress towards Network interoperability is reviewed, and a prototype distributed data systems is demonstrated. We discuss remaining challenges. Lastly, to establish a sustainable Arctic Data Coordination Network (ADCN) as part of a broader polar Network will require adequate continued resources. We conclude by outlining proposed business models for the emerging Arctic Data Coordination Network and a broader polar Network.

Managing integrated oncology treatment in virtual networks.

PubMed

Stanicki, Verena; Becker, Matthias; Böckmann, Britta

2015-01-01

Interdisciplinary and intersectoral coordinated healthcare management based on Clinical Practice Guidelines is essential to achieve high quality in oncological networks. The objective of our research project is to create a cookbook, which can be used by oncological networks as a template. The cookbook is based on guideline-compliant care processes. To develop these care processes, the three S3-guidelines breast, colon and prostate carcinoma have been formalized. The thus-obtained platform-independent process fragments were transformed into an underlying metamodel, which is based on HL7 and can be used for modeling clinical pathways. Additional, qualitative guided interviews were chosen to capitalize on the experts' (e.g. chief residents, resident specialists) wide knowledge and experience in oncological health care management. One of these use cases (tumor board scheduling) is developed for a healthcare management platform which is linked to a national electronic case record. The projected result of our approach is a cookbook which shows, how the treatment can be controlled by interdisciplinary and intersectoral care processes in an oncological network.

The Genome-based Knowledge Management in Cycles model: a complex adaptive systems framework for implementation of genomic applications.

PubMed

Arar, Nedal; Knight, Sara J; Modell, Stephen M; Issa, Amalia M

2011-03-01

The main mission of the Genomic Applications in Practice and Prevention Network™ is to advance collaborative efforts involving partners from across the public health sector to realize the promise of genomics in healthcare and disease prevention. We introduce a new framework that supports the Genomic Applications in Practice and Prevention Network mission and leverages the characteristics of the complex adaptive systems approach. We call this framework the Genome-based Knowledge Management in Cycles model (G-KNOMIC). G-KNOMIC proposes that the collaborative work of multidisciplinary teams utilizing genome-based applications will enhance translating evidence-based genomic findings by creating ongoing knowledge management cycles. Each cycle consists of knowledge synthesis, knowledge evaluation, knowledge implementation and knowledge utilization. Our framework acknowledges that all the elements in the knowledge translation process are interconnected and continuously changing. It also recognizes the importance of feedback loops, and the ability of teams to self-organize within a dynamic system. We demonstrate how this framework can be used to improve the adoption of genomic technologies into practice using two case studies of genomic uptake.

Informatics — EDRN Public Portal

Cancer.gov

The EDRN provides a comprehensive informatics activity which includes a number of tools and an integrated knowledge environment for capturing, managing, integrating, and sharing results from across EDRN's cancer biomarker research network.

COPD360social Online Community: A Social Media Review.

PubMed

Stellefson, Michael; Paige, Samantha R; Alber, Julia M; Stewart, Margaret

2018-06-01

People living with chronic obstructive pulmonary disease (COPD) commonly report feelings of loneliness and social isolation due to lack of support from family, friends, and health care providers. COPD360social is an interactive and disease-specific online community and social network dedicated to connecting people living with COPD to evidence-based resources. Through free access to collaborative forums, members can explore, engage, and discuss an array of disease-related topics, such as symptom management. This social media review provides an overview of COPD360social, specifically its features that practitioners can leverage to facilitate patient-provider communication, knowledge translation, and community building. The potential of COPD360social for chronic disease self-management is maximized through community recognition programming and interactive friend-finding tools that encourage members to share their own stories through blogs and multimedia (e.g., images, videos). The platform also fosters collaborative knowledge dissemination and helping relationships among patients, family members, friends, and health care providers. Successful implementation of COPD360social has dramatically expanded patient education and self-management support resources for people affected by COPD. Practitioners should refer patients and their families to online social networks such as COPD360social to increase knowledge and awareness of evidence-based chronic disease management practices.

Discussion group networks in occupational medicine: A tool for continuing education to promote the integration of workers with disabilities.

PubMed

Rinsky-Halivni, Lilah; Lerman, Yehuda

2018-04-01

Despite their legal rights, individuals with disabilities face numerous obstacles to integration in the workplace which can result in their discharge from the labor force. Currently occupational physicians have few resources to help decide whether to integrate disabled workers in pre-placement, or in cases of return-to-work. A network of 13 discussion groups comprised of the occupational physicians of each regional clinic of a large Health Maintenance Organization (HMO) in Israel was created to deal with disability management dilemmas. A moderator compiles and shares the physicians' opinions and experiences with all network members thus assisting the consulting physician in decision-making. Successful management of three representative cases is described to illustrate real-life implementations of this network. The network enables both the consulting and other physicians to tap a large knowledge base and decision-making experience concerning cases of occupational disability management, contributing to professional development and improved service delivery. © 2018 Wiley Periodicals, Inc.

Abstraction networks for terminologies: Supporting management of "big knowledge".

PubMed

Halper, Michael; Gu, Huanying; Perl, Yehoshua; Ochs, Christopher

2015-05-01

Terminologies and terminological systems have assumed important roles in many medical information processing environments, giving rise to the "big knowledge" challenge when terminological content comprises tens of thousands to millions of concepts arranged in a tangled web of relationships. Use and maintenance of knowledge structures on that scale can be daunting. The notion of abstraction network is presented as a means of facilitating the usability, comprehensibility, visualization, and quality assurance of terminologies. An abstraction network overlays a terminology's underlying network structure at a higher level of abstraction. In particular, it provides a more compact view of the terminology's content, avoiding the display of minutiae. General abstraction network characteristics are discussed. Moreover, the notion of meta-abstraction network, existing at an even higher level of abstraction than a typical abstraction network, is described for cases where even the abstraction network itself represents a case of "big knowledge." Various features in the design of abstraction networks are demonstrated in a methodological survey of some existing abstraction networks previously developed and deployed for a variety of terminologies. The applicability of the general abstraction-network framework is shown through use-cases of various terminologies, including the Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT), the Medical Entities Dictionary (MED), and the Unified Medical Language System (UMLS). Important characteristics of the surveyed abstraction networks are provided, e.g., the magnitude of the respective size reduction referred to as the abstraction ratio. Specific benefits of these alternative terminology-network views, particularly their use in terminology quality assurance, are discussed. Examples of meta-abstraction networks are presented. The "big knowledge" challenge constitutes the use and maintenance of terminological structures that comprise tens of thousands to millions of concepts and their attendant complexity. The notion of abstraction network has been introduced as a tool in helping to overcome this challenge, thus enhancing the usefulness of terminologies. Abstraction networks have been shown to be applicable to a variety of existing biomedical terminologies, and these alternative structural views hold promise for future expanded use with additional terminologies. Copyright © 2015 Elsevier B.V. All rights reserved.

A roadmap for knowledge exchange and mobilization research in conservation and natural resource management.

PubMed

Nguyen, Vivian M; Young, Nathan; Cooke, Steven J

2017-08-01

Scholars across all disciplines have long been interested in how knowledge moves within and beyond their community of peers. Rapid environmental changes and calls for sustainable management practices mean the best knowledge possible is needed to inform decisions, policies, and practices to protect biodiversity and sustainably manage vulnerable natural resources. Although the conservation literature on knowledge exchange (KE) and knowledge mobilization (KM) has grown in recent years, much of it is based on context-specific case studies. This presents a challenge for learning cumulative lessons from KE and KM research and thus effectively using knowledge in conservation and natural resources management. Although continued research on the gap between knowledge and action is valuable, overarching conceptual frameworks are now needed to enable summaries and comparisons across diverse KE-KM research. We propose a knowledge-action framework that provides a conceptual roadmap for future research and practice in KE/KM with the aim of synthesizing lessons learned from contextual case studies and guiding the development and testing of hypotheses in this domain. Our knowledge-action framework has 3 elements that occur at multiple levels and scales: knowledge production (e.g., academia and government), knowledge mediation (e.g., knowledge networks, actors, relational dimension, and contextual dimension), and knowledge-based action (e.g., instrumental, symbolic, and conceptual). The framework integrates concepts from the sociology of science in particular, and serves as a guide to further comprehensive understanding of knowledge exchange and mobilization in conservation and sustainable natural resource management. © 2016 Society for Conservation Biology.

Network resilience in the face of health system reform.

PubMed

Sheaff, Rod; Benson, Lawrence; Farbus, Lou; Schofield, Jill; Mannion, Russell; Reeves, David

2010-03-01

Many health systems now use networks as governance structures. Network 'macroculture' is the complex of artefacts, espoused values and unarticulated assumptions through which network members coordinate network activities. Knowledge of how network macroculture during 2006-2008 develops is therefore of value for understanding how health networks operate, how health system reforms affect them, and how networks function (and can be used) as governance structures. To examine how quasi-market reforms impact upon health networks' macrocultures we systematically compared longitudinal case studies of these impacts across two care networks, a programme network and a user-experience network in the English NHS. We conducted interviews with key informants, focus groups, non-participant observations of meetings and analyses of key documents. We found that in these networks, artefacts adapted to health system reform faster than espoused values did, and the latter adapted faster than basic underlying assumptions. These findings contribute to knowledge by providing empirical support for theories which hold that changes in networks' core practical activity are what stimulate changes in other aspects of network macroculture. The most powerful way of using network macroculture to manage the formation and operation of health networks therefore appears to be by focusing managerial activity on the ways in which networks produce their core artefacts. 2009 Elsevier Ltd. All rights reserved.

The Joint Fire Science Program Fire Exchange Network: Facilitating Knowledge Exchange About Wildland Fire Science Across the U.S.

NASA Astrophysics Data System (ADS)

York, A.; Blocksome, C.; Cheng, T.; Creighton, J.; Edwards, G.; Frederick, S.; Giardina, C. P.; Goebel, P. C.; Gucker, C.; Kobziar, L.; Lane, E.; Leis, S.; Long, A.; Maier, C.; Marschall, J.; McGowan-Stinski, J.; Mohr, H.; MontBlanc, E.; Pellant, M.; Pickett, E.; Seesholtz, D.; Skowronski, N.; Stambaugh, M. C.; Stephens, S.; Thode, A.; Trainor, S. F.; Waldrop, T.; Wolfson, B.; Wright, V.; Zedler, P.

2014-12-01

The Joint Fire Science Program's (JFSP) Fire Exchange Network is actively working to accelerate the awareness, understanding, and adoption of wildland fire science information by federal, tribal, state, local, and private stakeholders within ecologically similar regions. Our network of 15 regional exchanges provides timely, accurate, and regionally relevant science-based information to assist with fire management challenges. Regional activities, through which we engage fire and resource managers, scientists, and private landowners, include online newsletters and announcements, social media, regionally focused web-based clearinghouses of relevant science, field trips and demonstration sites, workshops and conferences, webinars and online training, and syntheses and fact sheets. Exchanges also help investigators design research that is relevant to regional management needs and assist with technology transfer to management audiences. This poster provides an introduction to and map of the regional exchanges.

DataONE: A Distributed Environmental and Earth Science Data Network Supporting the Full Data Life Cycle

NASA Astrophysics Data System (ADS)

Cook, R.; Michener, W.; Vieglais, D.; Budden, A.; Koskela, R.

2012-04-01

Addressing grand environmental science challenges requires unprecedented access to easily understood data that cross the breadth of temporal, spatial, and thematic scales. Tools are needed to plan management of the data, discover the relevant data, integrate heterogeneous and diverse data, and convert the data to information and knowledge. Addressing these challenges requires new approaches for the full data life cycle of managing, preserving, sharing, and analyzing data. DataONE (Observation Network for Earth) represents a virtual organization that enables new science and knowledge creation through preservation and access to data about life on Earth and the environment that sustains it. The DataONE approach is to improve data collection and management techniques; facilitate easy, secure, and persistent storage of data; continue to increase access to data and tools that improve data interoperability; disseminate integrated and user-friendly tools for data discovery and novel analyses; work with researchers to build intuitive data exploration and visualization tools; and support communities of practice via education, outreach, and stakeholder engagement.

A Knowledge Portal and Collaboration Environment for the Earth Sciences

NASA Astrophysics Data System (ADS)

D'Agnese, F. A.

2008-12-01

Earth Knowledge is developing a web-based 'Knowledge Portal and Collaboration Environment' that will serve as the information-technology-based foundation of a modular Internet-based Earth-Systems Monitoring, Analysis, and Management Tool. This 'Knowledge Portal' is essentially a 'mash- up' of web-based and client-based tools and services that support on-line collaboration, community discussion, and broad public dissemination of earth and environmental science information in a wide-area distributed network. In contrast to specialized knowledge-management or geographic-information systems developed for long- term and incremental scientific analysis, this system will exploit familiar software tools using industry standard protocols, formats, and APIs to discover, process, fuse, and visualize existing environmental datasets using Google Earth and Google Maps. An early form of these tools and services is being used by Earth Knowledge to facilitate the investigations and conversations of scientists, resource managers, and citizen-stakeholders addressing water resource sustainability issues in the Great Basin region of the desert southwestern United States. These ongoing projects will serve as use cases for the further development of this information-technology infrastructure. This 'Knowledge Portal' will accelerate the deployment of Earth- system data and information into an operational knowledge management system that may be used by decision-makers concerned with stewardship of water resources in the American Desert Southwest.

The Preparedness Web: Utilizing Regional Collaborative Networks for Homeland Security Preparedness

DTIC Science & Technology

2007-09-01

Hughes’ conflict strategies could then be used to develop methodologies for improved conflict management . 45 D. ORGANIZATIONAL CHANGE Emergency...has training in place to develop collaborative skills (e.g., conflict management , team process skills). * 2.3 (0.7) * 4 point scale; 1...included (a) knowledge of other agencies’ capabilities, (b) communication, (c) inter-agency trust and respect, and (d) conflict management . Further

Fighting The Network: Manet Management In Support Of Littoral Operations

DTIC Science & Technology

2016-03-01

Solomon , 2015). DL widens the scope of naval Surface Action Groups (SAG) operations, introducing the concept of Adaptive Force Package (AFP...be implemented in littoral tactical networks. CENETIX research utilizes three Wave Relay radio models for experimentation : the Man-Portable Unit...enable seamless continuity in the transfer of research knowledge to subsequent testing and CONOPS development. CENETIX field experimentation

A comparative study of 11 local health department organizational networks.

PubMed

Merrill, Jacqueline; Keeling, Jonathan W; Carley, Kathleen M

2010-01-01

Although the nation's local health departments (LHDs) share a common mission, variability in administrative structures is a barrier to identifying common, optimal management strategies. There is a gap in understanding what unifying features LHDs share as organizations that could be leveraged systematically for achieving high performance. To explore sources of commonality and variability in a range of LHDs by comparing intraorganizational networks. We used organizational network analysis to document relationships between employees, tasks, knowledge, and resources within LHDs, which may exist regardless of formal administrative structure. A national sample of 11 LHDs from seven states that differed in size, geographic location, and governance. Relational network data were collected via an on-line survey of all employees in 11 LHDs. A total of 1062 out of 1239 employees responded (84% response rate). Network measurements were compared using coefficient of variation. Measurements were correlated with scores from the National Public Health Performance Assessment and with LHD demographics. Rankings of tasks, knowledge, and resources were correlated across pairs of LHDs. We found that 11 LHDs exhibited compound organizational structures in which centralized hierarchies were coupled with distributed networks at the point of service. Local health departments were distinguished from random networks by a pattern of high centralization and clustering. Network measurements were positively associated with performance for 3 of 10 essential services (r > 0.65). Patterns in the measurements suggest how LHDs adapt to the population served. Shared network patterns across LHDs suggest where common organizational management strategies are feasible. This evidence supports national efforts to promote uniform standards for service delivery to diverse populations.

Extra-team connections for knowledge transfer between staff teams

PubMed Central

Ramanadhan, Shoba; Wiecha, Jean L.; Emmons, Karen M.; Gortmaker, Steven L.; Viswanath, Kasisomayajula

2009-01-01

As organizations implement novel health promotion programs across multiple sites, they face great challenges related to knowledge management. Staff social networks may be a useful medium for transferring program-related knowledge in multi-site implementation efforts. To study this potential, we focused on the role of extra-team connections (ties between staff members based in different site teams) as potential channels for knowledge sharing. Data come from a cross-sectional study of afterschool childcare staff implementing a health promotion program at 20 urban sites of the Young Men's Christian Association of Greater Boston. We conducted a sociometric social network analysis and attempted a census of 91 program staff members. We surveyed 80 individuals, and included 73 coordinators and general staff, who lead and support implementation, respectively, in this study. A multiple linear regression model demonstrated a positive relationship between extra-team connections (β = 3.41, P < 0.0001) and skill receipt, a measure of knowledge transfer. We also found that intra-team connections (within-team ties between staff members) were also positively related to skill receipt. Connections between teams appear to support knowledge transfer in this network, but likely require greater active facilitation, perhaps via organizational changes. Further research on extra-team connections and knowledge transfer in low-resource, high turnover environments is needed. PMID:19528313

EarthCube: Advancing Partnerships, Collaborative Platforms and Knowledge Networks in the Ocean Sciences

NASA Astrophysics Data System (ADS)

Stephen, Diggs; Lee, Allison

2014-05-01

The National Science Foundation's EarthCube initiative aims to create a community-driven data and knowledge management system that will allow for unprecedented data sharing across the geosciences. More than 2,500 participants through forums, work groups, EarthCube events, and virtual and in-person meetings have participated. The individuals that have engaged represent the core earth-system sciences of solid Earth, Atmosphere, Oceans, and Polar Sciences. EarthCube is a cornerstone of NSF's Cyberinfrastructure for the 21st Century (CIF21) initiative, whose chief objective is to develop a U.S. nationwide, sustainable, and community-based cyberinfrastructure for researchers and educators. Increasingly effective community-driven cyberinfrastructure allows global data discovery and knowledge management and achieves interoperability and data integration across scientific disciplines. There is growing convergence across scientific and technical communities on creating a networked, knowledge management system and scientific data cyberinfrastructure that integrates Earth system and human dimensions data in an open, transparent, and inclusive manner. EarthCube does not intend to replicate these efforts, but build upon them. An agile development process is underway for the development and governance of EarthCube. The agile approach was deliberately selected due to its iterative and incremental nature while promoting adaptive planning and rapid and flexible response. Such iterative deployment across a variety of EarthCube stakeholders encourages transparency, consensus, accountability, and inclusiveness.

An architecture for integrating distributed and cooperating knowledge-based Air Force decision aids

NASA Technical Reports Server (NTRS)

Nugent, Richard O.; Tucker, Richard W.

1988-01-01

MITRE has been developing a Knowledge-Based Battle Management Testbed for evaluating the viability of integrating independently-developed knowledge-based decision aids in the Air Force tactical domain. The primary goal for the testbed architecture is to permit a new system to be added to a testbed with little change to the system's software. Each system that connects to the testbed network declares that it can provide a number of services to other systems. When a system wants to use another system's service, it does not address the server system by name, but instead transmits a request to the testbed network asking for a particular service to be performed. A key component of the testbed architecture is a common database which uses a relational database management system (RDBMS). The RDBMS provides a database update notification service to requesting systems. Normally, each system is expected to monitor data relations of interest to it. Alternatively, a system may broadcast an announcement message to inform other systems that an event of potential interest has occurred. Current research is aimed at dealing with issues resulting from integration efforts, such as dealing with potential mismatches of each system's assumptions about the common database, decentralizing network control, and coordinating multiple agents.

A knowledge-based system for controlling automobile traffic

NASA Technical Reports Server (NTRS)

Maravas, Alexander; Stengel, Robert F.

1994-01-01

Transportation network capacity variations arising from accidents, roadway maintenance activity, and special events as well as fluctuations in commuters' travel demands complicate traffic management. Artificial intelligence concepts and expert systems can be useful in framing policies for incident detection, congestion anticipation, and optimal traffic management. This paper examines the applicability of intelligent route guidance and control as decision aids for traffic management. Basic requirements for managing traffic are reviewed, concepts for studying traffic flow are introduced, and mathematical models for modeling traffic flow are examined. Measures for quantifying transportation network performance levels are chosen, and surveillance and control strategies are evaluated. It can be concluded that automated decision support holds great promise for aiding the efficient flow of automobile traffic over limited-access roadways, bridges, and tunnels.

Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand.

PubMed

Lewis, Jim; Mengersen, Kerrie; Buys, Laurie; Vine, Desley; Bell, John; Morris, Peter; Ledwich, Gerard

2015-01-01

Provision of network infrastructure to meet rising network peak demand is increasing the cost of electricity. Addressing this demand is a major imperative for Australian electricity agencies. The network peak demand model reported in this paper provides a quantified decision support tool and a means of understanding the key influences and impacts on network peak demand. An investigation of the system factors impacting residential consumers' peak demand for electricity was undertaken in Queensland, Australia. Technical factors, such as the customers' location, housing construction and appliances, were combined with social factors, such as household demographics, culture, trust and knowledge, and Change Management Options (CMOs) such as tariffs, price, managed supply, etc., in a conceptual 'map' of the system. A Bayesian network was used to quantify the model and provide insights into the major influential factors and their interactions. The model was also used to examine the reduction in network peak demand with different market-based and government interventions in various customer locations of interest and investigate the relative importance of instituting programs that build trust and knowledge through well designed customer-industry engagement activities. The Bayesian network was implemented via a spreadsheet with a tickbox interface. The model combined available data from industry-specific and public sources with relevant expert opinion. The results revealed that the most effective intervention strategies involve combining particular CMOs with associated education and engagement activities. The model demonstrated the importance of designing interventions that take into account the interactions of the various elements of the socio-technical system. The options that provided the greatest impact on peak demand were Off-Peak Tariffs and Managed Supply and increases in the price of electricity. The impact in peak demand reduction differed for each of the locations and highlighted that household numbers, demographics as well as the different climates were significant factors. It presented possible network peak demand reductions which would delay any upgrade of networks, resulting in savings for Queensland utilities and ultimately for households. The use of this systems approach using Bayesian networks to assist the management of peak demand in different modelled locations in Queensland provided insights about the most important elements in the system and the intervention strategies that could be tailored to the targeted customer segments.

Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand

PubMed Central

Lewis, Jim; Mengersen, Kerrie; Buys, Laurie; Vine, Desley; Bell, John; Morris, Peter; Ledwich, Gerard

2015-01-01

Provision of network infrastructure to meet rising network peak demand is increasing the cost of electricity. Addressing this demand is a major imperative for Australian electricity agencies. The network peak demand model reported in this paper provides a quantified decision support tool and a means of understanding the key influences and impacts on network peak demand. An investigation of the system factors impacting residential consumers’ peak demand for electricity was undertaken in Queensland, Australia. Technical factors, such as the customers’ location, housing construction and appliances, were combined with social factors, such as household demographics, culture, trust and knowledge, and Change Management Options (CMOs) such as tariffs, price, managed supply, etc., in a conceptual ‘map’ of the system. A Bayesian network was used to quantify the model and provide insights into the major influential factors and their interactions. The model was also used to examine the reduction in network peak demand with different market-based and government interventions in various customer locations of interest and investigate the relative importance of instituting programs that build trust and knowledge through well designed customer-industry engagement activities. The Bayesian network was implemented via a spreadsheet with a tickbox interface. The model combined available data from industry-specific and public sources with relevant expert opinion. The results revealed that the most effective intervention strategies involve combining particular CMOs with associated education and engagement activities. The model demonstrated the importance of designing interventions that take into account the interactions of the various elements of the socio-technical system. The options that provided the greatest impact on peak demand were Off-Peak Tariffs and Managed Supply and increases in the price of electricity. The impact in peak demand reduction differed for each of the locations and highlighted that household numbers, demographics as well as the different climates were significant factors. It presented possible network peak demand reductions which would delay any upgrade of networks, resulting in savings for Queensland utilities and ultimately for households. The use of this systems approach using Bayesian networks to assist the management of peak demand in different modelled locations in Queensland provided insights about the most important elements in the system and the intervention strategies that could be tailored to the targeted customer segments. PMID:26226511

Army Science Board 2001 AD HOC Study Knowledge Management

DTIC Science & Technology

2001-11-01

dissemination, Army, Army culture, information dominance , knowledge dominance, information sharing, situational awareness, network-centric, infosphere...proposed effort and the emerging Army ICT for Information Dominance are all excellent foundation efforts for KM and Information Assurance. The panel’s...level is critical to survivability and lethality. – Unreliable information will quickly reverse the advantages of “ Information Dominance ” essential to

Robustness of risk maps and survey networks to knowledge gaps about a new invasive pest

Treesearch

Denys Yemshanov; Frank H. Koch; Yakov Ben-Haim; William D. Smith

2010-01-01

In pest risk assessment it is frequently necessary to make management decisions regarding emerging threats under severe uncertainty. Although risk maps provide useful decision support for invasive alien species, they rarely address knowledge gaps associated with the underlying risk model or how they may change the risk estimates. Failure to recognize uncertainty leads...

Constructing a Bayesian network model for improving safety behavior of employees at workplaces.

PubMed

Mohammadfam, Iraj; Ghasemi, Fakhradin; Kalatpour, Omid; Moghimbeigi, Abbas

2017-01-01

Unsafe behavior increases the risk of accident at workplaces and needs to be managed properly. The aim of the present study was to provide a model for managing and improving safety behavior of employees using the Bayesian networks approach. The study was conducted in several power plant construction projects in Iran. The data were collected using a questionnaire composed of nine factors, including management commitment, supporting environment, safety management system, employees' participation, safety knowledge, safety attitude, motivation, resource allocation, and work pressure. In order for measuring the score of each factor assigned by a responder, a measurement model was constructed for each of them. The Bayesian network was constructed using experts' opinions and Dempster-Shafer theory. Using belief updating, the best intervention strategies for improving safety behavior also were selected. The result of the present study demonstrated that the majority of employees do not tend to consider safety rules, regulation, procedures and norms in their behavior at the workplace. Safety attitude, safety knowledge, and supporting environment were the best predictor of safety behavior. Moreover, it was determined that instantaneous improvement of supporting environment and employee participation is the best strategy to reach a high proportion of safety behavior at the workplace. The lack of a comprehensive model that can be used for explaining safety behavior was one of the most problematic issues of the study. Furthermore, it can be concluded that belief updating is a unique feature of Bayesian networks that is very useful in comparing various intervention strategies and selecting the best one form them. Copyright © 2016 Elsevier Ltd. All rights reserved.

Enhancing innovation between scientific and indigenous knowledge: pioneer NGOs in India.

PubMed

Torri, Maria-Costanza; Laplante, Julie

2009-10-22

Until recently, little attention has been paid to local innovation capacity as well as management practices and institutions developed by communities and other local actors based on their traditional knowledge. This paper doesn't focus on the results of scientific research into innovation systems, but rather on how local communities, in a network of supportive partnerships, draw knowledge for others, combine it with their own knowledge and then innovate in their local practices. Innovation, as discussed in this article, is the capacity of local stakeholders to play an active role in innovative knowledge creation in order to enhance local health practices and further environmental conservation. In this article, the innovative processes through which this capacity is created and reinforced will be defined as a process of "ethnomedicine capacity". The field study undertaken by the first author took place in India, in the State of Tamil Nadu, over a period of four months in 2007. The data was collected through individual interviews and focus groups and was complemented by participant observations. The research highlights the innovation capacity related to ethnomedical knowledge. As seen, the integration of local and scientific knowledge is crucial to ensure the practices anchor themselves in daily practices. The networks created are clearly instrumental to enhancing the innovation capacity that allows the creation, dissemination and utilization of 'traditional' knowledge. However, these networks have evolved in very different forms and have become entities that can fit into global networks. The ways in which the social capital is enhanced at the village and network levels are thus important to understand how traditional knowledge can be used as an instrument for development and innovation. The case study analyzed highlights examples of innovation systems in a developmental context. They demonstrate that networks comprised of several actors from different levels can synergistically forge linkages between local knowledge and formal sciences and generate positive and negative impacts. The positive impact is the revitalization of perceived traditions while the negative impacts pertain to the transformation of these traditions into health commodities controlled by new elites, due to unequal power relations.

Enhancing innovation between scientific and indigenous knowledge: pioneer NGOs in India

PubMed Central

Torri, Maria-Costanza; Laplante, Julie

2009-01-01

Background Until recently, little attention has been paid to local innovation capacity as well as management practices and institutions developed by communities and other local actors based on their traditional knowledge. This paper doesn't focus on the results of scientific research into innovation systems, but rather on how local communities, in a network of supportive partnerships, draw knowledge for others, combine it with their own knowledge and then innovate in their local practices. Innovation, as discussed in this article, is the capacity of local stakeholders to play an active role in innovative knowledge creation in order to enhance local health practices and further environmental conservation. In this article, the innovative processes through which this capacity is created and reinforced will be defined as a process of "ethnomedicine capacity". Methods The field study undertaken by the first author took place in India, in the State of Tamil Nadu, over a period of four months in 2007. The data was collected through individual interviews and focus groups and was complemented by participant observations. Results The research highlights the innovation capacity related to ethnomedical knowledge. As seen, the integration of local and scientific knowledge is crucial to ensure the practices anchor themselves in daily practices. The networks created are clearly instrumental to enhancing the innovation capacity that allows the creation, dissemination and utilization of 'traditional' knowledge. However, these networks have evolved in very different forms and have become entities that can fit into global networks. The ways in which the social capital is enhanced at the village and network levels are thus important to understand how traditional knowledge can be used as an instrument for development and innovation. Conclusion The case study analyzed highlights examples of innovation systems in a developmental context. They demonstrate that networks comprised of several actors from different levels can synergistically forge linkages between local knowledge and formal sciences and generate positive and negative impacts. The positive impact is the revitalization of perceived traditions while the negative impacts pertain to the transformation of these traditions into health commodities controlled by new elites, due to unequal power relations. PMID:19849851

Knowledge sharing and organizational learning in the context of hospital infection prevention.

PubMed

Rangachari, Pavani

2010-01-01

Recently, hospitals that have been successful in preventing infections have labeled their improvement approaches as either the Toyota Production System (TPS) approach or the Positive Deviance (PD) approach. PD has been distinguished from TPS as being a bottom-up approach to improvement, as against top-down. Facilities that have employed both approaches have suggested that PD may be more effective than TPS for infection prevention. This article integrates organizational learning, institutional, and knowledge network theories to develop a theoretical framework for understanding the structure and evolution of effective knowledge-sharing networks in health care organizations, that is, networks most conducive to learning and improvement. Contrary to arguments put forth by hospital success stories, the framework suggests that networks rich in brokerage and hierarchy (ie, top-down, "TPS-like" structures) may be more effective for learning and improvement in health care organizations, compared with a networks rich in density (ie, bottom-up, "PD-like" structures). The theoretical framework and ensuing analysis help identify several gaps in the literature related to organization learning and improvement in the infection prevention context. This, in turn, helps put forth recommendations for health management research and practice.

A Bayesian Belief Network approach to assess the potential of non wood forest products for small scale forest owners

NASA Astrophysics Data System (ADS)

Vacik, Harald; Huber, Patrick; Hujala, Teppo; Kurtilla, Mikko; Wolfslehner, Bernhard

2015-04-01

It is an integral element of the European understanding of sustainable forest management to foster the design and marketing of forest products, non-wood forest products (NWFPs) and services that go beyond the production of timber. Despite the relevance of NWFPs in Europe, forest management and planning methods have been traditionally tailored towards wood and wood products, because most forest management models and silviculture techniques were developed to ensure a sustained production of timber. Although several approaches exist which explicitly consider NWFPs as management objectives in forest planning, specific models are needed for the assessment of their production potential in different environmental contexts and for different management regimes. Empirical data supporting a comprehensive assessment of the potential of NWFPs are rare, thus making development of statistical models particularly problematic. However, the complex causal relationships between the sustained production of NWFPs, the available ecological resources, as well as the organizational and the market potential of forest management regimes are well suited for knowledge-based expert models. Bayesian belief networks (BBNs) are a kind of probabilistic graphical model that have become very popular to practitioners and scientists mainly due to the powerful probability theory involved, which makes BBNs suitable to deal with a wide range of environmental problems. In this contribution we present the development of a Bayesian belief network to assess the potential of NWFPs for small scale forest owners. A three stage iterative process with stakeholder and expert participation was used to develop the Bayesian Network within the frame of the StarTree Project. The group of participants varied in the stages of the modelling process. A core team, consisting of one technical expert and two domain experts was responsible for the entire modelling process as well as for the first prototype of the network structure, including nodes and relationships. A top-level causal network, was further decomposed to sub level networks. Stakeholder participation including a group of experts from different related subject areas was used in model verification and validation. We demonstrate that BBNs can be used to transfer expert knowledge from science to practice and thus have the ability to contribute to improved problem understanding of non-expert decision makers for a sustainable production of NWFPs.

Predictors of Rural Health Clinics Managers' Willingness to Join Accountable Care Organizations.

PubMed

T H Wan, Thomas; Masri, Maysoun Dimachkie; Ortiz, Judith

2014-01-01

The implementation of the Patient Protection and Affordable Care Act has facilitated the development of an innovative and integrated delivery care system, Accountable Care Organizations (ACOs). It is timely, to identify how health care managers in rural health clinics are responding to the ACO model. This research examines RHC managers' perceived benefits and barriers for implementing ACOs from an organizational ecology perspective. A survey was conducted in Spring of 2012 covering the present RHC network working infrastructures - 1) Organizational social network; 2) organizational care delivery structure; 3) ACO knowledge, perceived benefits, and perceived barriers; 4) quality and disease management programs; and 5) health information technology (HIT) infrastructure. One thousand one hundred sixty clinics were surveyed in the United States. They cover eight southeastern states (Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee) and California. A total of ninety-one responses were received. RHC managers' personal perceptions on ACO's benefits and knowledge level explained the most variance in their willingness to join ACOs. Individual perceptions appear to be more influential than organizational and context factors in the predictive analysis. The study is primarily focused in the Southeastern region of the U.S. The generalizability is limited to this region. The predictors of rural health clinics' participation in ACOs are germane to guide the development of organizational strategies for enhancing the general knowledge about the innovativeness of delivering coordinated care and containing health care costs inspired by the Affordable Care Act. Rural health clinics are lagged behind the growth curve of ACO adoption. The diffusion of new knowledge about pros and cons of ACO is essential to reinforce the health care reform in the United States.

Predictors of Rural Health Clinics Managers' Willingness to Join Accountable Care Organizations

PubMed Central

T.H.Wan, Thomas; Masri, Maysoun Dimachkie; Ortiz, Judith

2014-01-01

Purpose The implementation of the Patient Protection and Affordable Care Act has facilitated the development of an innovative and integrated delivery care system, Accountable Care Organizations (ACOs). It is timely, to identify how health care managers in rural health clinics are responding to the ACO model. This research examines RHC managers' perceived benefits and barriers for implementing ACOs from an organizational ecology perspective. Methodology/Approach A survey was conducted in Spring of 2012 covering the present RHC network working infrastructures – 1) Organizational social network; 2) organizational care delivery structure; 3) ACO knowledge, perceived benefits, and perceived barriers; 4) quality and disease management programs; and 5) health information technology (HIT) infrastructure. One thousand one hundred sixty clinics were surveyed in the United States. They cover eight southeastern states (Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee) and California. A total of ninety-one responses were received. Findings RHC managers' personal perceptions on ACO's benefits and knowledge level explained the most variance in their willingness to join ACOs. Individual perceptions appear to be more influential than organizational and context factors in the predictive analysis. Research limitations/implications The study is primarily focused in the Southeastern region of the U.S. The generalizability is limited to this region. The predictors of rural health clinics' participation in ACOs are germane to guide the development of organizational strategies for enhancing the general knowledge about the innovativeness of delivering coordinated care and containing health care costs inspired by the Affordable Care Act. Originality/Value of Paper Rural health clinics are lagged behind the growth curve of ACO adoption. The diffusion of new knowledge about pros and cons of ACO is essential to reinforce the health care reform in the United States. PMID:25541569

A Workflow-based Intelligent Network Data Movement Advisor with End-to-end Performance Optimization

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhu, Michelle M.; Wu, Chase Q.

2013-11-07

Next-generation eScience applications often generate large amounts of simulation, experimental, or observational data that must be shared and managed by collaborative organizations. Advanced networking technologies and services have been rapidly developed and deployed to facilitate such massive data transfer. However, these technologies and services have not been fully utilized mainly because their use typically requires significant domain knowledge and in many cases application users are even not aware of their existence. By leveraging the functionalities of an existing Network-Aware Data Movement Advisor (NADMA) utility, we propose a new Workflow-based Intelligent Network Data Movement Advisor (WINDMA) with end-to-end performance optimization formore » this DOE funded project. This WINDMA system integrates three major components: resource discovery, data movement, and status monitoring, and supports the sharing of common data movement workflows through account and database management. This system provides a web interface and interacts with existing data/space management and discovery services such as Storage Resource Management, transport methods such as GridFTP and GlobusOnline, and network resource provisioning brokers such as ION and OSCARS. We demonstrate the efficacy of the proposed transport-support workflow system in several use cases based on its implementation and deployment in DOE wide-area networks.« less

The Knowledge-Integrated Network Biomarkers Discovery for Major Adverse Cardiac Events

PubMed Central

Jin, Guangxu; Zhou, Xiaobo; Wang, Honghui; Zhao, Hong; Cui, Kemi; Zhang, Xiang-Sun; Chen, Luonan; Hazen, Stanley L.; Li, King; Wong, Stephen T. C.

2010-01-01

The mass spectrometry (MS) technology in clinical proteomics is very promising for discovery of new biomarkers for diseases management. To overcome the obstacles of data noises in MS analysis, we proposed a new approach of knowledge-integrated biomarker discovery using data from Major Adverse Cardiac Events (MACE) patients. We first built up a cardiovascular-related network based on protein information coming from protein annotations in Uniprot, protein–protein interaction (PPI), and signal transduction database. Distinct from the previous machine learning methods in MS data processing, we then used statistical methods to discover biomarkers in cardiovascular-related network. Through the tradeoff between known protein information and data noises in mass spectrometry data, we finally could firmly identify those high-confident biomarkers. Most importantly, aided by protein–protein interaction network, that is, cardiovascular-related network, we proposed a new type of biomarkers, that is, network biomarkers, composed of a set of proteins and the interactions among them. The candidate network biomarkers can classify the two groups of patients more accurately than current single ones without consideration of biological molecular interaction. PMID:18665624

Case Studies of Ecological Integrative Information Systems: The Luquillo and Sevilleta Information Management Systems

NASA Astrophysics Data System (ADS)

San Gil, Inigo; White, Marshall; Melendez, Eda; Vanderbilt, Kristin

The thirty-year-old United States Long Term Ecological Research Network has developed extensive metadata to document their scientific data. Standard and interoperable metadata is a core component of the data-driven analytical solutions developed by this research network Content management systems offer an affordable solution for rapid deployment of metadata centered information management systems. We developed a customized integrative metadata management system based on the Drupal content management system technology. Building on knowledge and experience with the Sevilleta and Luquillo Long Term Ecological Research sites, we successfully deployed the first two medium-scale customized prototypes. In this paper, we describe the vision behind our Drupal based information management instances, and list the features offered through these Drupal based systems. We also outline the plans to expand the information services offered through these metadata centered management systems. We will conclude with the growing list of participants deploying similar instances.

Frequency of inadequate chicken cross-contamination prevention and cooking practices in restaurants.

PubMed

Green Brown, Laura; Khargonekar, Shivangi; Bushnell, Lisa

2013-12-01

This study was conducted by the Environmental Health Specialists Network (EHS-Net) of the Centers for Disease Control and Prevention. The purpose was to examine restaurant chicken preparation and cooking practices and kitchen managers' food safety knowledge concerning chicken. EHS-Net members interviewed managers about chicken preparation practices in 448 restaurants. The study revealed that many restaurants were not following U.S. Food and Drug Administration Food Code guidance concerning cross-contamination prevention and proper cooking and that managers lacked basic food safety knowledge about chicken. Forty percent of managers said that they never, rarely, or only sometimes designated certain cutting boards for raw meat (including chicken). One-third of managers said that they did not wash and rinse surfaces before sanitizing them. Over half of managers said that thermometers were not used to determine the final cook temperature of chicken. Only 43% of managers knew the temperature to which raw chicken needed to be cooked for it to be safe to eat. These findings indicate that restaurant chicken preparation and cooking practices and manager food safety knowledge need improvement. Findings from this study could be used by food safety programs and the restaurant industry to target training and intervention efforts to improve chicken preparation and cooking practices and knowledge concerning safe chicken preparation.

CoryneRegNet: an ontology-based data warehouse of corynebacterial transcription factors and regulatory networks.

PubMed

Baumbach, Jan; Brinkrolf, Karina; Czaja, Lisa F; Rahmann, Sven; Tauch, Andreas

2006-02-14

The application of DNA microarray technology in post-genomic analysis of bacterial genome sequences has allowed the generation of huge amounts of data related to regulatory networks. This data along with literature-derived knowledge on regulation of gene expression has opened the way for genome-wide reconstruction of transcriptional regulatory networks. These large-scale reconstructions can be converted into in silico models of bacterial cells that allow a systematic analysis of network behavior in response to changing environmental conditions. CoryneRegNet was designed to facilitate the genome-wide reconstruction of transcriptional regulatory networks of corynebacteria relevant in biotechnology and human medicine. During the import and integration process of data derived from experimental studies or literature knowledge CoryneRegNet generates links to genome annotations, to identified transcription factors and to the corresponding cis-regulatory elements. CoryneRegNet is based on a multi-layered, hierarchical and modular concept of transcriptional regulation and was implemented by using the relational database management system MySQL and an ontology-based data structure. Reconstructed regulatory networks can be visualized by using the yFiles JAVA graph library. As an application example of CoryneRegNet, we have reconstructed the global transcriptional regulation of a cellular module involved in SOS and stress response of corynebacteria. CoryneRegNet is an ontology-based data warehouse that allows a pertinent data management of regulatory interactions along with the genome-scale reconstruction of transcriptional regulatory networks. These models can further be combined with metabolic networks to build integrated models of cellular function including both metabolism and its transcriptional regulation.

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

Treesearch

Susie Kocher; Eric Toman; Sarah Trainor; Vita Wright

2012-01-01

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

A conceptual model for site-level ecology of the giant gartersnake (Thamnophis gigas) in the Sacramento Valley, California

USGS Publications Warehouse

Halstead, Brian J.; Wylie, Glenn D.; Casazza, Michael L.; Hansen, Eric C.; Scherer, Rick D.; Patterson, Laura C.

2015-08-14

Bayesian networks further provide a clear visual display of the model that facilitates understanding among various stakeholders (Marcot and others, 2001; Uusitalo , 2007). Empirical data and expert judgment can be combined, as continuous or categorical variables, to update knowledge about the system (Marcot and others, 2001; Uusitalo , 2007). Importantly, Bayesian network models allow inference from causes to consequences, but also from consequences to causes, so that data can inform the states of nodes (values of different random variables) in either direction (Marcot and others, 2001; Uusitalo , 2007). Because they can incorporate both decision nodes that represent management actions and utility nodes that quantify the costs and benefits of outcomes, Bayesian networks are ideally suited to risk analysis and adaptive management (Nyberg and others, 2006; Howes and others, 2010). Thus, Bayesian network models are useful in situations where empirical data are not available, such as questions concerning the responses of giant gartersnakes to management.

Managing clinical failure: a complex adaptive system perspective.

PubMed

Matthews, Jean I; Thomas, Paul T

2007-01-01

The purpose of this article is to explore the knowledge capture process at the clinical level. It aims to identify factors that enable or constrain learning. The study applies complex adaptive system thinking principles to reconcile learning within the NHS. The paper uses a qualitative exploratory study with an interpretative methodological stance set in a secondary care NHS Trust. Semi-structured interviews were conducted with healthcare practitioners and managers involved at both strategic and operational risk management processes. A network structure is revealed that exhibits the communication and interdependent working practices to support knowledge capture and adaptive learning. Collaborative multidisciplinary communities, whose values reflect local priorities and promote open dialogue and reflection, are featured. The main concern is that the characteristics of bureaucracy; rational-legal authority, a rule-based culture, hierarchical lines of communication and a centralised governance focus, are hindering clinical learning by generating barriers. Locally emergent collaborative processes are a key strategic resource to capture knowledge, potentially fostering an environment that could learn from failure and translate lessons between contexts. What must be addressed is that reporting mechanisms serve not only the governance objectives, but also supplement learning by highlighting the potential lessons in context. Managers must nurture a collaborative infrastructure using networks in a co-evolutionary manner. Their role is not to direct and design processes but to influence, support and create effective knowledge capture. Although the study only investigated one site the findings and conclusions may well translate to other trusts--such as the risk of not enabling a learning environment at clinical levels.

Auditing Knowledge toward Leveraging Organizational IQ in Healthcare Organizations.

PubMed

Shahmoradi, Leila; Karami, Mahtab; Farzaneh Nejad, Ahmadreza

2016-04-01

In this study, a knowledge audit was conducted based on organizational intelligence quotient (OIQ) principles of Iran's Ministry of Health and Medical Education (MOHME) to determine levers that can enhance OIQ in healthcare. The mixed method study was conducted within the MOHME. The study population consisted of 15 senior managers and policymakers. A tool based on literature review and panel expert opinions was developed to perform a knowledge audit. The significant results of this auditing revealed the following: lack of defined standard processes for organizing knowledge management (KM), lack of a knowledge map, absence of a trustee to implement KM, absence of specialists to produce a knowledge map, individuals' unwillingness to share knowledge, implicitness of knowledge format, occasional nature of knowledge documentation for repeated use, lack of a mechanism to determine repetitive tasks, lack of a reward system for the formation of communities, groups and networks, non-updatedness of the available knowledge, and absence of commercial knowledge. The analysis of the audit findings revealed that three levers for enhancing OIQ, including structure and process, organizational culture, and information technology must be created or modified.

Auditing Knowledge toward Leveraging Organizational IQ in Healthcare Organizations

PubMed Central

Shahmoradi, Leila; Farzaneh Nejad, Ahmadreza

2016-01-01

Objectives In this study, a knowledge audit was conducted based on organizational intelligence quotient (OIQ) principles of Iran's Ministry of Health and Medical Education (MOHME) to determine levers that can enhance OIQ in healthcare. Methods The mixed method study was conducted within the MOHME. The study population consisted of 15 senior managers and policymakers. A tool based on literature review and panel expert opinions was developed to perform a knowledge audit. Results The significant results of this auditing revealed the following: lack of defined standard processes for organizing knowledge management (KM), lack of a knowledge map, absence of a trustee to implement KM, absence of specialists to produce a knowledge map, individuals' unwillingness to share knowledge, implicitness of knowledge format, occasional nature of knowledge documentation for repeated use, lack of a mechanism to determine repetitive tasks, lack of a reward system for the formation of communities, groups and networks, non-updatedness of the available knowledge, and absence of commercial knowledge. Conclusions The analysis of the audit findings revealed that three levers for enhancing OIQ, including structure and process, organizational culture, and information technology must be created or modified. PMID:27200221

Web 2.0 and internet social networking: a new tool for disaster management?--lessons from Taiwan.

PubMed

Huang, Cheng-Min; Chan, Edward; Hyder, Adnan A

2010-10-06

Internet social networking tools and the emerging web 2.0 technologies are providing a new way for web users and health workers in information sharing and knowledge dissemination. Based on the characters of immediate, two-way and large scale of impact, the internet social networking tools have been utilized as a solution in emergency response during disasters. This paper highlights the use of internet social networking in disaster emergency response and public health management of disasters by focusing on a case study of the typhoon Morakot disaster in Taiwan. In the case of typhoon disaster in Taiwan, internet social networking and mobile technology were found to be helpful for community residents, professional emergency rescuers, and government agencies in gathering and disseminating real-time information, regarding volunteer recruitment and relief supplies allocation. We noted that if internet tools are to be integrated in the development of emergency response system, the accessibility, accuracy, validity, feasibility, privacy and the scalability of itself should be carefully considered especially in the effort of applying it in resource poor settings. This paper seeks to promote an internet-based emergency response system by integrating internet social networking and information communication technology into central government disaster management system. Web-based networking provides two-way communication which establishes a reliable and accessible tunnel for proximal and distal users in disaster preparedness and management.

Video Discs in Libraries.

ERIC Educational Resources Information Center

Barker, Philip

1986-01-01

Discussion of developments in information storage technology likely to have significant impact upon library utilization focuses on hardware (videodisc technology) and software developments (knowledge databases; computer networks; database management systems; interactive video, computer, and multimedia user interfaces). Three generic computer-based…

78 FR 9951 - Excepted Service

Federal Register 2010, 2011, 2012, 2013, 2014

2013-02-12

...) Not to exceed 3000 positions that require unique cyber security skills and knowledge to perform cyber..., distributed control systems security, cyber incident response, cyber exercise facilitation and management, cyber vulnerability detection and assessment, network and systems engineering, enterprise architecture...

Applying social network analysis to understand the knowledge sharing behaviour of practitioners in a clinical online discussion forum.

PubMed

Stewart, Samuel Alan; Abidi, Syed Sibte Raza

2012-12-04

Knowledge Translation (KT) plays a vital role in the modern health care community, facilitating the incorporation of new evidence into practice. Web 2.0 tools provide a useful mechanism for establishing an online KT environment in which health practitioners share their practice-related knowledge and experiences with an online community of practice. We have implemented a Web 2.0 based KT environment--an online discussion forum--for pediatric pain practitioners across seven different hospitals in Thailand. The online discussion forum enabled the pediatric pain practitioners to share and translate their experiential knowledge to help improve the management of pediatric pain in hospitals. The goal of this research is to investigate the knowledge sharing dynamics of a community of practice through an online discussion forum. We evaluated the communication patterns of the community members using statistical and social network analysis methods in order to better understand how the online community engages to share experiential knowledge. Statistical analyses and visualizations provide a broad overview of the communication patterns within the discussion forum. Social network analysis provides the tools to delve deeper into the social network, identifying the most active members of the community, reporting the overall health of the social network, isolating the potential core members of the social network, and exploring the inter-group relationships that exist across institutions and professions. The statistical analyses revealed a network dominated by a single institution and a single profession, and found a varied relationship between reading and posting content to the discussion forum. The social network analysis discovered a healthy network with strong communication patterns, while identifying which users are at the center of the community in terms of facilitating communication. The group-level analysis suggests that there is strong interprofessional and interregional communication, but a dearth of non-nurse participants has been identified as a shortcoming. The results of the analysis suggest that the discussion forum is active and healthy, and that, though few, the interprofessional and interinstitutional ties are strong.

A centralized informatics infrastructure for the National Institute on Drug Abuse Clinical Trials Network.

PubMed

Pan, Jeng-Jong; Nahm, Meredith; Wakim, Paul; Cushing, Carol; Poole, Lori; Tai, Betty; Pieper, Carl F

2009-02-01

Clinical trial networks (CTNs) were created to provide a sustaining infrastructure for the conduct of multisite clinical trials. As such, they must withstand changes in membership. Centralization of infrastructure including knowledge management, portfolio management, information management, process automation, work policies, and procedures in clinical research networks facilitates consistency and ultimately research. In 2005, the National Institute on Drug Abuse (NIDA) CTN transitioned from a distributed data management model to a centralized informatics infrastructure to support the network's trial activities and administration. We describe the centralized informatics infrastructure and discuss our challenges to inform others considering such an endeavor. During the migration of a clinical trial network from a decentralized to a centralized data center model, descriptive data were captured and are presented here to assess the impact of centralization. We present the framework for the informatics infrastructure and evaluative metrics. The network has decreased the time from last patient-last visit to database lock from an average of 7.6 months to 2.8 months. The average database error rate decreased from 0.8% to 0.2%, with a corresponding decrease in the interquartile range from 0.04%-1.0% before centralization to 0.01-0.27% after centralization. Centralization has provided the CTN with integrated trial status reporting and the first standards-based public data share. A preliminary cost-benefit analysis showed a 50% reduction in data management cost per study participant over the life of a trial. A single clinical trial network comprising addiction researchers and community treatment programs was assessed. The findings may not be applicable to other research settings. The identified informatics components provide the information and infrastructure needed for our clinical trial network. Post centralization data management operations are more efficient and less costly, with higher data quality.

Knowledge management through the e-learning approach - a case study of online engineering courses

NASA Astrophysics Data System (ADS)

Aichouni, Mohamed; Benchicou, Soraya; Nehari, Dris

2013-06-01

Though it is universally accepted that the face-to-face approach is the best way for education and training, however, with the advent of the information and communication technologies (mainly the World Wide Web) it became possible to enhance further the methods we are using to teach our students and to share the teaching material within a broaden engineering, technical and business communities. This paper is dedicated to making a review of the basic concepts of knowledge management and e-learning and to show how these two modern concepts can be integrated into engineering education to produce knowledge, disseminate it and share it within virtual interest groups and networks of engineering students, academic teachers and industrial engineers and technicians and business managers. A practical case study will be presented and discussed.

Unfolding similarity in interphysician networks: the impact of institutional and professional homophily.

PubMed

Mascia, Daniele; Di Vincenzo, Fausto; Iacopino, Valentina; Fantini, Maria Pia; Cicchetti, Americo

2015-03-10

Modern healthcare is characterized by high complexity due to the proliferation of specialties, professional roles, and priorities within organizations. To perform clinical interventions, knowledge distributed across units, directorates and individuals needs to be integrated. Formal and/or informal mechanisms may be used to coordinate knowledge and tasks within organizations. Although the literature has recently considered the role of physicians' professional networks in the diffusion of knowledge, several concerns remain about the mechanisms through which these networks emerge within healthcare organizations. The aim of the present paper is to explore the impact of institutional and professional homophilies on the formation of interphysician professional networks. We collected data on a community of around 300 physicians working at a local health authority within the Italian National Health Service. We employed multiple regression quadratic assignment procedures to explore the extent to which institutional and professional homophilies influence the formation of interphysician networks. We found that both institutional and professional homophilies matter in explaining interphysician networks. Physicians who had similar fields of interest or belonged to the same organizational structure were more likely to establish professional relationships. In addition, professional homophily was more relevant than institutional affiliation in explaining collaborative ties. Our findings have organizational implications and provide useful information for managers who are responsible for undertaking organizational restructuring. Healthcare executives and administrators may want to consider the structure of advice networks while adopting new organizational structures.

Learning in innovation networks: Some simulation experiments

NASA Astrophysics Data System (ADS)

Gilbert, Nigel; Ahrweiler, Petra; Pyka, Andreas

2007-05-01

According to the organizational learning literature, the greatest competitive advantage a firm has is its ability to learn. In this paper, a framework for modeling learning competence in firms is presented to improve the understanding of managing innovation. Firms with different knowledge stocks attempt to improve their economic performance by engaging in radical or incremental innovation activities and through partnerships and networking with other firms. In trying to vary and/or to stabilize their knowledge stocks by organizational learning, they attempt to adapt to environmental requirements while the market strongly selects on the results. The simulation experiments show the impact of different learning activities, underlining the importance of innovation and learning.

Linguistic Model for Engine Power Loss

DTIC Science & Technology

2011-11-27

Intelligent Vehicle Health Management System (IVHMS) for light trucks. In particular, this paper is focused on the system architecture for monitoring...developed for the cooling system of a diesel engine, integrating a priori, ‘expert’ knowledge , sensor data, and the adaptive network-based fuzzy...domain knowledge . However, in a nonlinear system in which not all possible causes to engine power loss are considered and measured, merely relying

Dynamic Modeling of Cell-Free Biochemical Networks Using Effective Kinetic Models

DTIC Science & Technology

2015-03-03

whether we could simultaneously estimate kinetic parameters and regulatory connectivity, in the absence of specific mechanistic knowledge , from synthetic...that manage metabolism. Of course, these issues are not independent; any description of enzyme activity regulation will be a function of system state...the absence of specific mechanistic knowledge , from synthetic experimental data. Toward these questions, we explored five hypothetical cell-free

Expert knowledge as a foundation for the management of secretive species and their habitat

USGS Publications Warehouse

Drew, C. Ashton; Collazo, Jaime

2012-01-01

In this chapter, we share lessons learned during the elicitation and application of expert knowledge in the form of a belief network model for the habitat of a waterbird, the King Rail (Rallus elegans). A belief network is a statistical framework used to graphically represent and evaluate hypothesized cause and effect relationships among variables. Our model was a pilot project to explore the value of such a model as a tool to help the US Fish and Wildlife Service (USFWS) conserve species that lack sufficient empirical data to guide management decisions. Many factors limit the availability of empirical data that can support landscape-scale conservation planning. Globally, most species simply have not yet been subject to empirical study (Wilson 2000). Even for well-studied species, data are often restricted to specific geographic extents, to particular seasons, or to specific segments of a species’ life history. The USFWS mandates that the agency’s conservation actions (1) be coordinated across regional landscapes, (2) be founded on the best available science (with testable assumptions), and (3) support adaptive management through monitoring and assessment of action outcomes. Given limits on the available data, the concept of “best available science” in the context of conservation planning generally includes a mix of empirical data and expert knowledge (Sullivan et al. 2006).

A Comparative Study of 11 Local Health Department Organizational Networks

PubMed Central

Merrill, Jacqueline; Keeling, Jonathan W.; Carley, Kathleen M.

2013-01-01

Context Although the nation’s local health departments (LHDs) share a common mission, variability in administrative structures is a barrier to identifying common, optimal management strategies. There is a gap in understanding what unifying features LHDs share as organizations that could be leveraged systematically for achieving high performance. Objective To explore sources of commonality and variability in a range of LHDs by comparing intraorganizational networks. Intervention We used organizational network analysis to document relationships between employees, tasks, knowledge, and resources within LHDs, which may exist regardless of formal administrative structure. Setting A national sample of 11 LHDs from seven states that differed in size, geographic location, and governance. Participants Relational network data were collected via an on-line survey of all employees in 11 LHDs. A total of 1 062 out of 1 239 employees responded (84% response rate). Outcome Measures Network measurements were compared using coefficient of variation. Measurements were correlated with scores from the National Public Health Performance Assessment and with LHD demographics. Rankings of tasks, knowledge, and resources were correlated across pairs of LHDs. Results We found that 11 LHDs exhibited compound organizational structures in which centralized hierarchies were coupled with distributed networks at the point of service. Local health departments were distinguished from random networks by a pattern of high centralization and clustering. Network measurements were positively associated with performance for 3 of 10 essential services (r > 0.65). Patterns in the measurements suggest how LHDs adapt to the population served. Conclusions Shared network patterns across LHDs suggest where common organizational management strategies are feasible. This evidence supports national efforts to promote uniform standards for service delivery to diverse populations. PMID:20445462

A knowledge base architecture for distributed knowledge agents

NASA Technical Reports Server (NTRS)

Riedesel, Joel; Walls, Bryan

1990-01-01

A tuple space based object oriented model for knowledge base representation and interpretation is presented. An architecture for managing distributed knowledge agents is then implemented within the model. The general model is based upon a database implementation of a tuple space. Objects are then defined as an additional layer upon the database. The tuple space may or may not be distributed depending upon the database implementation. A language for representing knowledge and inference strategy is defined whose implementation takes advantage of the tuple space. The general model may then be instantiated in many different forms, each of which may be a distinct knowledge agent. Knowledge agents may communicate using tuple space mechanisms as in the LINDA model as well as using more well known message passing mechanisms. An implementation of the model is presented describing strategies used to keep inference tractable without giving up expressivity. An example applied to a power management and distribution network for Space Station Freedom is given.

Frequency of Inadequate Chicken Cross-Contamination Prevention and Cooking Practices in Restaurants

PubMed Central

Brown, Laura Green; Khargonekar, Shivangi; Bushnell, Lisa

2017-01-01

This study was conducted by the Environmental Health Specialists Network (EHS-Net) of the Centers for Disease Control and Prevention. The purpose was to examine restaurant chicken preparation and cooking practices and kitchen managers’ food safety knowledge concerning chicken. EHS-Net members interviewed managers about chicken preparation practices in 448 restaurants. The study revealed that many restaurants were not following U.S. Food and Drug Administration Food Code guidance concerning cross-contamination prevention and proper cooking and that managers lacked basic food safety knowledge about chicken. Forty percent of managers said that they never, rarely, or only sometimes designated certain cutting boards for raw meat (including chicken). One-third of managers said that they did not wash and rinse surfaces before sanitizing them. Over half of managers said that thermometers were not used to determine the final cook temperature of chicken. Only 43% of managers knew the temperature to which raw chicken needed to be cooked for it to be safe to eat. These findings indicate that restaurant chicken preparation and cooking practices and manager food safety knowledge need improvement. Findings from this study could be used by food safety programs and the restaurant industry to target training and intervention efforts to improve chicken preparation and cooking practices and knowledge concerning safe chicken preparation. PMID:24290693

Engineering Applications of Neural Computing: A State-of-the-Art Survey

DTIC Science & Technology

1991-05-01

results of the neural networks and compare with doctor’s knowledge. In veterinary medicine, a system for diag- nosis of mastitis in dairy cows is...construction of a hybrid system for diagnosing mastitis in COWS . Perhaps the most noteworthy application is the neural network-based explosive...diagnosis of mastitis in a limited set of experimental data showed excellent accuracy. In engineering facility management, monitoring and diagnostics are

The Program Management Challenges of Web 2.0

DTIC Science & Technology

2010-06-01

identifying and keeping abreast of the newly emerging technologies; their fast pace of evolution or modification, changing domain focus areas, their varied...definitive experts. No one knows what the future holds for network-centric materiel development . We are in the early stages of the Information Age and...led to the development and evolution of online Web-based communities and services such as auction houses, knowledge portals, social networking sites

Integrating indigenous ecological and scientific hydro-geological knowledge using a Bayesian Network in the context of water resource development

NASA Astrophysics Data System (ADS)

Liedloff, A. C.; Woodward, E. L.; Harrington, G. A.; Jackson, S.

2013-08-01

The contributions indigenous ecological knowledge can make to better inform water management decisions are currently undervalued leading to an underrepresentation of indigenous values in water planning and policy. This paper outlines a novel approach in which indigenous ecological knowledge informs cause and effect relationships between species and aquatic habitats to promote broader ecosystem understanding. A Bayesian Network was developed to synthesise the seasonal aquatic knowledge of a group of Gooniyandi Aboriginal language speakers, including fish species’ availability, condition and required habitat, and integrate it with hydrogeological understanding obtained from research undertaken in a stretch of the Fitzroy River, Western Australia. This river system, like most in northern Australia, is highly seasonal and entirely dependent upon groundwater for maintaining flow during prolonged dry seasons. We found that potential changes in river flow rates caused by future water resource development, such as groundwater extraction and surface water diversion, may have detrimental effects on the ability to catch the high value aquatic food species such as Barramundi and Sawfish, but also that species such as Black Bream may benefit. These findings result from changes in availability of habitats at times when Gooniyandi understanding shows they are important for providing aquatic resources in good condition. This study raises awareness of the potential outcomes of future water management and stimulates communication between indigenous people, the scientific community and water managers by developing a model of indigenous understanding from which to predict eco-hydrological change.

The SysMan monitoring service and its management environment

NASA Astrophysics Data System (ADS)

Debski, Andrzej; Janas, Ekkehard

1996-06-01

Management of modern information systems is becoming more and more complex. There is a growing need for powerful, flexible and affordable management tools to assist system managers in maintaining such systems. It is at the same time evident that effective management should integrate network management, system management and application management in a uniform way. Object oriented OSI management architecture with its four basic modelling concepts (information, organization, communication and functional models) together with widely accepted distribution platforms such as ANSA/CORBA, constitutes a reliable and modern framework for the implementation of a management toolset. This paper focuses on the presentation of concepts and implementation results of an object oriented management toolset developed and implemented within the framework of the ESPRIT project 7026 SysMan. An overview is given of the implemented SysMan management services including the System Management Service, Monitoring Service, Network Management Service, Knowledge Service, Domain and Policy Service, and the User Interface. Special attention is paid to the Monitoring Service which incorporates the architectural key entity responsible for event management. Its architecture and building components, especially filters, are emphasized and presented in detail.

Social barriers to Type 2 diabetes self-management: the role of capital.

PubMed

Henderson, Julie; Wilson, Christine; Roberts, Louise; Munt, Rebecca; Crotty, Mikaila

2014-12-01

Approaches to self-management traditionally focus upon individual capacity to make behavioural change. In this paper, we use Bourdieu's concepts of habitus and capital to demonstrate the impact of structural inequalities upon chronic illness self-management through exploring findings from 28 semi-structured interviews conducted with people from a lower socioeconomic region of Adelaide, South Australia who have type 2 diabetes. The data suggests that access to capital is a significant barrier to type 2 diabetes self-management. While many participants described having sufficient cultural capital to access and assess health information, they often lacked economic capital and social capital in the form of support networks who promote health. Participants were often involved in social networks in which activities which are contrary to self-management have symbolic value. As a consequence, they entered relationships with health professionals at a disadvantage. We conclude that structural barriers to self-management arising from habitus resulting in the performance of health behaviours rooted in cultural and class background and limited access to capital in the form of economic resources, social networks, health knowledge and prestige may have a negative impact on capacity for type 2 diabetes self-management. © 2014 John Wiley & Sons Ltd.

Evaluating Vegetation Potential for Wildfire Impacted Watershed Using a Bayesian Network Modeling Approach

NASA Astrophysics Data System (ADS)

Jaramillo, L. V.; Stone, M. C.; Morrison, R. R.

2017-12-01

Decision-making for natural resource management is complex especially for fire impacted watersheds in the Southwestern US because of the vital importance of water resources, exorbitant cost of fire management and restoration, and the risks of the wildland-urban interface (WUI). While riparian and terrestrial vegetation are extremely important to ecosystem health and provide ecosystem services, loss of vegetation due to wildfire, post-fire flooding, and debris flows can lead to further degradation of the watershed and increased vulnerability to erosion and debris flow. Land managers are charged with taking measures to mitigate degradation of the watershed effectively and efficiently with limited time, money, and data. For our study, a Bayesian network (BN) approach is implemented to understand vegetation potential for Kashe-Katuwe Tent Rocks National Monument in the fire-impacted Peralta Canyon Watershed, New Mexico, USA. We implement both two-dimensional hydrodynamic and Bayesian network modeling to incorporate spatial variability in the system. Our coupled modeling framework presents vegetation recruitment and succession potential for three representative plant types (native riparian, native terrestrial, and non-native) under several hydrologic scenarios and management actions. In our BN model, we use variables that address timing, hydrologic, and groundwater conditions as well as recruitment and succession constraints for the plant types based on expert knowledge and literature. Our approach allows us to utilize small and incomplete data, incorporate expert knowledge, and explicitly account for uncertainty in the system. Our findings can be used to help land managers and local decision-makers determine their plan of action to increase watershed health and resilience.

Knowledge portal: a tool to capture university requirements

NASA Astrophysics Data System (ADS)

Mansourvar, Marjan; Binti Mohd Yasin, Norizan

2011-10-01

New technologies, especially, the Internet have made a huge impact on knowledge management and information dissemination in education. The web portal as a knowledge management system is very popular topics in many organizations including universities. Generally, a web portal defines as a gateway to online network accessible resources through the intranet, extranet or Internet. This study develops a knowledge portal for the students in the Faculty of Computer Science and Information Technology (FCSIT), University of Malaya (UM). The goals of this portal are to provide information for the students to help them to choose the right courses and major that are relevant to their intended future jobs or career in IT. A quantitative approach used as the selected method for this research. Quantitative method provides an easy and useful way to collect data from a large sample population.

The role of social networks in the governance of health systems: the case of eye care systems in Ghana.

PubMed

Blanchet, Karl; James, Philip

2013-03-01

Efforts have been increasingly invested to improve local health systems' capacities in developing countries. We describe the application of innovative methods based on a social network analysis approach. The findings presented refer to a study carried out between July 2008 and January 2010 in the Brong Ahafo region of Ghana. Social network analysis methods were applied in five different districts using the software package Ucinet to calculate the various properties of the social network of eye care providers. The study focused on the managerial decisions made by Ghanaian district hospital managers about the governance of the health system. The study showed that the health system in the Brong Ahafo region experienced significant changes specifically after a key shock, the departure of an international organization. Several other actors at different levels of the network disappeared, the positions of nurses and hospital managers changed, creating new relationships and power balances that resulted in a change in the general structure of the network. The system shifted from a centralized and dense hierarchical network towards an enclaved network composed of five sub-networks. The new structure was less able to respond to shocks, circulate information and knowledge across scales and implement multi-scale solutions than that which it replaced. Although the network became less resilient, it responded better to the management needs of the hospital managers who now had better access to information, even if this information was partial. The change of the network over time also showed the influence of the international organization on generating links and creating connections between actors from different levels. The findings of the study reveal the importance of creating international health connections between actors working in different spatial scales of the health system.

Investigating Knowledge Management Status among Faculty Members of Kerman University of Medical Sciences based on the Nonaka Model in 2015

PubMed Central

Vali, Leila; Izadi, Azar; Jahani, Yunes; Okhovati, Maryam

2016-01-01

Introduction Education and research are two major functions of universities, which require proper and systematic exploitation of available knowledge and information. Therefore, it is necessary to investigate the knowledge management status in an education system by considering the function of faculty members in creation and dissemination of knowledge. This study was conducted to investigate the knowledge management status among faculty members of the Kerman University of Medical Sciences based on the Nonaka and Takeuchi models in 2015. Methods This was a descriptive-analytical and cross-sectional study. It was conducted on 165 faculty members at the Kerman University of Medical Sciences, who were selected from seven faculties as weighted using a random stratified sampling method. The Nonaka and Takeuchi knowledge management questionnaire consists of 26 questions in four dimensions of socialization, externalization, internalization, and combination. Scoring of questions was conducted using the five-point Likert scale. To analyze data, independent t-test, one-way ANOVA, Pearson correlation coefficients, and the Kruskal-Wallis test were employed. Results The four dimensions in the Nonaka and Takeuchi model are based on optimal indicators (3.5), dimensions of combination, and externalization with an average of 3.3 were found in higher ranks and internalization and socialization had averages of 3.1 and 3. According to the findings of this study, the average knowledge management among faculty members of the Kerman University of Medical Sciences was estimated to be 3.1, with a bit difference compared to the average. According to the results of t-tests, there was no significant relationship between gender and various dimensions of knowledge management (p>0.05). The findings of Kruskal-Wallis showed that there is no significant relationship between variables of age, academic rank, and type of faculty with regard to dimensions of knowledge management (p>0.05). In addition, according to the results of Pearson tests, there is no significant relation between employment history and dimensions of knowledge management (p>0.05). Conclusion Considering the function and importance of knowledge management in education and research organizations including universities, it is recommended to pay comprehensive attention to establishment of knowledge management and knowledge sharing in universities and provide the required background to from research teams and communication networks inside and outside universities. PMID:27757183

Investigating Knowledge Management Status among Faculty Members of Kerman University of Medical Sciences based on the Nonaka Model in 2015.

PubMed

Vali, Leila; Izadi, Azar; Jahani, Yunes; Okhovati, Maryam

2016-08-01

Education and research are two major functions of universities, which require proper and systematic exploitation of available knowledge and information. Therefore, it is necessary to investigate the knowledge management status in an education system by considering the function of faculty members in creation and dissemination of knowledge. This study was conducted to investigate the knowledge management status among faculty members of the Kerman University of Medical Sciences based on the Nonaka and Takeuchi models in 2015. This was a descriptive-analytical and cross-sectional study. It was conducted on 165 faculty members at the Kerman University of Medical Sciences, who were selected from seven faculties as weighted using a random stratified sampling method. The Nonaka and Takeuchi knowledge management questionnaire consists of 26 questions in four dimensions of socialization, externalization, internalization, and combination. Scoring of questions was conducted using the five-point Likert scale. To analyze data, independent t-test, one-way ANOVA, Pearson correlation coefficients, and the Kruskal-Wallis test were employed. The four dimensions in the Nonaka and Takeuchi model are based on optimal indicators (3.5), dimensions of combination, and externalization with an average of 3.3 were found in higher ranks and internalization and socialization had averages of 3.1 and 3. According to the findings of this study, the average knowledge management among faculty members of the Kerman University of Medical Sciences was estimated to be 3.1, with a bit difference compared to the average. According to the results of t-tests, there was no significant relationship between gender and various dimensions of knowledge management (p>0.05). The findings of Kruskal-Wallis showed that there is no significant relationship between variables of age, academic rank, and type of faculty with regard to dimensions of knowledge management (p>0.05). In addition, according to the results of Pearson tests, there is no significant relation between employment history and dimensions of knowledge management (p>0.05). Considering the function and importance of knowledge management in education and research organizations including universities, it is recommended to pay comprehensive attention to establishment of knowledge management and knowledge sharing in universities and provide the required background to from research teams and communication networks inside and outside universities.

Sharing Craft Knowledge: The Soul of Principal Peer Assessment.

ERIC Educational Resources Information Center

Abbott, James E.

1996-01-01

Describes the implementation of a peer assessment process for school principals using a New Skills Profile of essential craft skills: teaching methods, budgetary competence, networking, technological literacy, communication, leadership, conflict resolution, diversity, systems thinking, and Total Quality Management principles. Participating…

CoryneRegNet: An ontology-based data warehouse of corynebacterial transcription factors and regulatory networks

PubMed Central

Baumbach, Jan; Brinkrolf, Karina; Czaja, Lisa F; Rahmann, Sven; Tauch, Andreas

2006-01-01

Background The application of DNA microarray technology in post-genomic analysis of bacterial genome sequences has allowed the generation of huge amounts of data related to regulatory networks. This data along with literature-derived knowledge on regulation of gene expression has opened the way for genome-wide reconstruction of transcriptional regulatory networks. These large-scale reconstructions can be converted into in silico models of bacterial cells that allow a systematic analysis of network behavior in response to changing environmental conditions. Description CoryneRegNet was designed to facilitate the genome-wide reconstruction of transcriptional regulatory networks of corynebacteria relevant in biotechnology and human medicine. During the import and integration process of data derived from experimental studies or literature knowledge CoryneRegNet generates links to genome annotations, to identified transcription factors and to the corresponding cis-regulatory elements. CoryneRegNet is based on a multi-layered, hierarchical and modular concept of transcriptional regulation and was implemented by using the relational database management system MySQL and an ontology-based data structure. Reconstructed regulatory networks can be visualized by using the yFiles JAVA graph library. As an application example of CoryneRegNet, we have reconstructed the global transcriptional regulation of a cellular module involved in SOS and stress response of corynebacteria. Conclusion CoryneRegNet is an ontology-based data warehouse that allows a pertinent data management of regulatory interactions along with the genome-scale reconstruction of transcriptional regulatory networks. These models can further be combined with metabolic networks to build integrated models of cellular function including both metabolism and its transcriptional regulation. PMID:16478536

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

PubMed

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

2018-03-01

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

Universities, SMEs and Social Capital: Can You Get Too Much of a Good Thing? An Illustrative Analysis of One University's Knowledge Exchange Programme

ERIC Educational Resources Information Center

Gordon, Ian

2016-01-01

This article explores a university knowledge exchange programme for small and medium-sized enterprise (SME) owner-managers. Specifically, it considers why a programme designed to achieve growth in a group of SMEs through the creation of a network high in social capital may have become a constraint on the programme's effectiveness over a period of…

Inter-organizational design: exploring the relationship between formal architecture and ICT investments

NASA Astrophysics Data System (ADS)

Iubatti, Daniela; Masciarelli, Francesca; Simboli, Alberto

This chapter aims to explore how the information-processing capabilities that emerge from a network structure affect the diffusion of innovation in a multidivisional organization. In particular, this study analyzes the role of firm investments in ICT to facilitate communication and knowledge diffusion. Using a qualitative approach, we investigate the behavior of an Italian multinational firm, Engineering S.p.A., analyzing our data using a content analysis procedure. Our results show the limited role of ICT in favoring knowledge exchange both inside and outside the firm's divisions: traditional communication patterns are generally preferred over the use of technologies for information sharing. Additionally, we find that key individuals who play a central role in the firm's communication network are unable to use ICTs for knowledge transfer. We conclude that this is the result of a strategic decision to keep top management practically unchanged since the firm was established. Therefore, key individuals act as filters to knowledge flows. Knowledge, in particular tacit knowledge, is transferred from key individuals to other actors through face-to-face contacts, thereby creating a diseconomy for the organization.

Manual of Documentation Practices Applicable to Defence-Aerospace Scientific and Technical Information. Volume 1. Section 1 - Acquisition and Sources. Section 2 - Descriptive Cataloguing. Section 3 - Abstracting and Subject Analysis

DTIC Science & Technology

1978-08-01

weeding I I ORGANISATION & MANAGEMENT Aims and objectives, staffing, promotional activities, identifying u;ers 12 NETWORKS & EXTERNAL SOURCES OF...Acquisition Clerks with typing capability are required for meticulous recordkeeping. Typing capability of 50 words per minute and a working knowledge ...81 Adminhistration and Management Includes management planning and research. 64 Numerical Analysis Includes iteration, difference equations, and 82

Knowledge management in dementia care networks: a qualitative analysis of successful information and support strategies for people with dementia living at home and their family caregivers.

PubMed

Heinrich, S; Laporte Uribe, F; Roes, M; Hoffmann, W; Thyrian, J R; Wolf-Ostermann, K; Holle, B

2016-02-01

Stakeholders involved in community dementia support services often work on their own and without coordination with other services. These circumstances can result in a lack of information and support for people with dementia and their family caregivers at home. To increase the coordination between existing support services, so-called 'Dementia Care Networks' (DCNs) have been established. Most of the tasks that are performed in DCNs are based on communication strategies. Therefore, knowledge management (KM) is a key process in these networks. However, few studies have focused on this topic. This study attempted to evaluate KM strategies in DCNs across Germany as part of the DemNet-D study. A qualitative interview study design was used. Qualitative data were collected during single and group interviews with key persons associated with thirteen DCNs. Interviews were audiotaped and transcribed, and a structured content analysis was conducted. The framework for the analysis was derived from a KM model. Information dissemination strategies for people with dementia and their informal caregivers based on actively established contacts appear to be more successful than passive strategies. General practitioners often play a key role as external gatekeepers in initiating contact between a network and a person affected by dementia. In this context, case managers can help integrate external stakeholders, such as general practitioners or pharmacists, into DCNs using different KM strategies. The systematic development of common objectives under an agency-neutral leadership seems to be an important aspect of successful KM within DCNs. The findings reported here can help DCNs optimize their KM strategies for generating tailored information and support services for people with dementia living at home and their family caregivers. In particular, the identified potential knowledge distribution barriers and facilitators will be of practical use to DCN stakeholders. Copyright © 2015 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Virtual management of radiology examinations in the virtual radiology environment using common object request broker architecture services.

PubMed

Martinez, R; Rozenblit, J; Cook, J F; Chacko, A K; Timboe, H L

1999-05-01

In the Department of Defense (DoD), US Army Medical Command is now embarking on an extremely exciting new project--creating a virtual radiology environment (VRE) for the management of radiology examinations. The business of radiology in the military is therefore being reengineered on several fronts by the VRE Project. In the VRE Project, a set of intelligent agent algorithms determine where examinations are to routed for reading bases on a knowledge base of the entire VRE. The set of algorithms, called the Meta-Manager, is hierarchical and uses object-based communications between medical treatment facilities (MTFs) and medical centers that have digital imaging network picture archiving and communications systems (DIN-PACS) networks. The communications is based on use of common object request broker architecture (CORBA) objects and services to send patient demographics and examination images from DIN-PACS networks in the MTFs to the DIN-PACS networks at the medical centers for diagnosis. The Meta-Manager is also responsible for updating the diagnosis at the originating MTF. CORBA services are used to perform secure message communications between DIN-PACS nodes in the VRE network. The Meta-Manager has a fail-safe architecture that allows the master Meta-Manager function to float to regional Meta-Manager sites in case of server failure. A prototype of the CORBA-based Meta-Manager is being developed by the University of Arizona's Computer Engineering Research Laboratory using the unified modeling language (UML) as a design tool. The prototype will implement the main functions described in the Meta-Manager design specification. The results of this project are expected to reengineer the process of radiology in the military and have extensions to commercial radiology environments.

Interorganizational networks: fundamental to the Accreditation Canada program.

PubMed

Mitchell, Jonathan I; Nicklin, Wendy; MacDonald, Bernadette

2014-01-01

Within the Canadian healthcare system, the term population-accountable health network defines the use of collective resources to optimize the health of a population through integrated interventions. The leadership of these networks has also been identified as a critical factor, highlighting the need for creative management of resources in determining effective, balanced sets of interventions. In this article, using specific principles embedded in the Accreditation Canada program, the benefits of a network approach are highlighted, including knowledge sharing, improving the consistency of practice through standards, and a broader systems-and-population view of healthcare delivery across the continuum of care. The implications for Canadian health leaders to leverage the benefits of interorganizational networks are discussed.

If we only knew what we know: principles for knowledge sharing across people, practices, and platforms.

PubMed

Dearing, James W; Greene, Sarah M; Stewart, Walter F; Williams, Andrew E

2011-03-01

The improvement of health outcomes for both individual patients and entire populations requires improvement in the array of structures that support decisions and activities by healthcare practitioners. Yet, many gaps remain in how even sophisticated healthcare organizations manage knowledge. Here we describe the value of a trans-institutional network for identifying and capturing how-to knowledge that contributes to improved outcomes. Organizing and sharing on-the-job experience would concentrate and organize the activities of individual practitioners and subject their rapid cycle improvement testing and refinement to a form of collective intelligence for subsequent diffusion back through the network. We use the existing Cancer Research Network as an example of how a loosely structured consortium of healthcare delivery organizations could create and grow an implementation registry to foster innovation and implementation success by communicating what works, how, and which practitioners are using each innovation. We focus on the principles and parameters that could be used as a basis for infrastructure design. As experiential knowledge from across institutions builds within such a system, the system could ultimately motivate rapid learning and adoption of best practices. Implications for research about healthcare IT, invention, and organizational learning are discussed.

Understanding Health Professionals' Informal Learning in Online Social Networks: A Cross-Sectional Survey.

PubMed

Li, Xin; Verspoor, Karin; Gray, Kathleen; Barnett, Stephen

2017-01-01

Online social networks (OSNs) enable health professionals to learn informally, for example by sharing medical knowledge, or discussing practice management challenges and clinical issues. Understanding how learning occurs in OSNs is necessary to better support this type of learning. Through a cross-sectional survey, this study found that learning interaction in OSNs is low in general, with a small number of active users. Some health professionals actively used OSNs to support their practice, including sharing practical and experiential knowledge, benchmarking themselves, and to keep up-to-date on policy, advanced information and news in the field. These health professionals had an overall positive learning experience in OSNs.

Detecting Change in Longitudinal Social Networks

DTIC Science & Technology

2011-01-01

organizational change may cause a manager to investigate the presence of good initiatives and see them through to implementation. On the other hand, terrorist... marketing campaigns and media on social behavior. Initial Construct populations, social and knowledge networks, can be hypothetical or real (Carley...mality Data tic data set f any) are 9 independe easible for th ication probl d, this is simp the radio lso known as e unit as a res significant t

Complexities of Teaching and Implications for Equity

ERIC Educational Resources Information Center

Lee, Carol D.

2011-01-01

Teacher knowledge involves a complex network of inter-related domains, including cognition; differences in learning strengths for primary and secondary school students; social and emotional development across the life course; motivation; language acquisition and socialization; curriculum design and assessment; and classroom management. In…

Clinical results of HIS, RIS, PACS integration using data integration CASE tools

NASA Astrophysics Data System (ADS)

Taira, Ricky K.; Chan, Hing-Ming; Breant, Claudine M.; Huang, Lu J.; Valentino, Daniel J.

1995-05-01

Current infrastructure research in PACS is dominated by the development of communication networks (local area networks, teleradiology, ATM networks, etc.), multimedia display workstations, and hierarchical image storage architectures. However, limited work has been performed on developing flexible, expansible, and intelligent information processing architectures for the vast decentralized image and text data repositories prevalent in healthcare environments. Patient information is often distributed among multiple data management systems. Current large-scale efforts to integrate medical information and knowledge sources have been costly with limited retrieval functionality. Software integration strategies to unify distributed data and knowledge sources is still lacking commercially. Systems heterogeneity (i.e., differences in hardware platforms, communication protocols, database management software, nomenclature, etc.) is at the heart of the problem and is unlikely to be standardized in the near future. In this paper, we demonstrate the use of newly available CASE (computer- aided software engineering) tools to rapidly integrate HIS, RIS, and PACS information systems. The advantages of these tools include fast development time (low-level code is generated from graphical specifications), and easy system maintenance (excellent documentation, easy to perform changes, and centralized code repository in an object-oriented database). The CASE tools are used to develop and manage the `middle-ware' in our client- mediator-serve architecture for systems integration. Our architecture is scalable and can accommodate heterogeneous database and communication protocols.

[Health system sustainability from a network perspective: a proposal to optimize healthy habits and social support].

PubMed

Marqués Sánchez, Pilar; Fernández Peña, Rosario; Cabrera León, Andrés; Muñoz Doyague, María F; Llopis Cañameras, Jaime; Arias Ramos, Natalia

2013-01-01

The search of new health management formulas focused to give wide services is one of the priorities of our present health policies. Those formulas examine the optimization of the links between the main actors involved in public health, ie, users, professionals, local socio-political and corporate agents. This paper is aimed to introduce the Social Network Analysis as a method for analyzing, measuring and interpreting those connections. The knowledge of people's relationships (what is called social networks) in the field of public health is becoming increasingly important at an international level. In fact, countries such as UK, Netherlands, Italy, Australia and U.S. are looking formulas to apply this knowledge to their health departments. With this work we show the utility of the ARS on topics related to sustainability of the health system, particularly those related with health habits and social support, topics included in the 2020 health strategies that underline the importance of the collaborative aspects in networks.

Insights Into Collaborative Networks Of Nonprofit, Private, And Public Organizations That Address Complex Health Issues.

PubMed

Hogg, Rachel A; Varda, Danielle

2016-11-01

Community networks that include nonprofit, public, and private organizations have formed around many health issues, such as chronic disease management and healthy living and eating. Despite the increases in the numbers of and funding for cross-sector networks, and the growing literature about them, there are limited data and methods that can be used to assess their effectiveness and analyze their designs. We addressed this gap in knowledge by analyzing the characteristics of 260 cross-sector community health networks that collectively consisted of 7,816 organizations during the period 2008-15. We found that nonprofit organizations were more prevalent than private firms or government agencies in these networks. Traditional types of partners in community health networks such as hospitals, community health centers, and public health agencies were the most trusted and valued by other members of their networks. However, nontraditional partners, such as employer or business groups and colleges or universities, reported contributing relatively high numbers of resources to their networks. Further evidence is needed to inform collaborative management processes and policies as a mechanism for building what the Robert Wood Johnson Foundation describes as a culture of health. Project HOPE—The People-to-People Health Foundation, Inc.

Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

ScienceCinema

Danuso, Francesco

2017-12-22

A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed.  SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Jørgensen, 1994) in which systems are modelled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower  management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

Knowledge sharing and collaboration in translational research, and the DC-THERA Directory

PubMed Central

Gündel, Michaela; Austyn, Jonathan M.; Cavalieri, Duccio; Scognamiglio, Ciro; Brandizi, Marco

2011-01-01

Biomedical research relies increasingly on large collections of data sets and knowledge whose generation, representation and analysis often require large collaborative and interdisciplinary efforts. This dimension of ‘big data’ research calls for the development of computational tools to manage such a vast amount of data, as well as tools that can improve communication and access to information from collaborating researchers and from the wider community. Whenever research projects have a defined temporal scope, an additional issue of data management arises, namely how the knowledge generated within the project can be made available beyond its boundaries and life-time. DC-THERA is a European ‘Network of Excellence’ (NoE) that spawned a very large collaborative and interdisciplinary research community, focusing on the development of novel immunotherapies derived from fundamental research in dendritic cell immunobiology. In this article we introduce the DC-THERA Directory, which is an information system designed to support knowledge management for this research community and beyond. We present how the use of metadata and Semantic Web technologies can effectively help to organize the knowledge generated by modern collaborative research, how these technologies can enable effective data management solutions during and beyond the project lifecycle, and how resources such as the DC-THERA Directory fit into the larger context of e-science. PMID:21969471

A transdisciplinary approach for supporting the integration of ecosystem services into land and water management

NASA Astrophysics Data System (ADS)

Fatt Siew, Tuck; Döll, Petra

2015-04-01

Transdisciplinary approaches are useful for supporting integrated land and water management. However, the implementation of the approach in practice to facilitate the co-production of useable socio-hydrological (and -ecological) knowledge among scientists and stakeholders is challenging. It requires appropriate methods to bring individuals with diverse interests and needs together and to integrate their knowledge for generating shared perspectives/understanding, identifying common goals, and developing actionable management strategies. The approach and the methods need, particularly, to be adapted to the local political and socio-cultural conditions. To demonstrate how knowledge co-production and integration can be done in practice, we present a transdisciplinary approach which has been implemented and adapted for supporting land and water management that takes ecosystem services into account in an arid region in northwestern China. Our approach comprises three steps: (1) stakeholder analysis and interdisciplinary knowledge integration, (2) elicitation of perspectives of scientists and stakeholders, scenario development, and identification of management strategies, and (3) evaluation of knowledge integration and social learning. Our adapted approach has enabled interdisciplinary and cross-sectoral communication among scientists and stakeholders. Furthermore, the application of a combination of participatory methods, including actor modeling, Bayesian Network modeling, and participatory scenario development, has contributed to the integration of system, target, and transformation knowledge of involved stakeholders. The realization of identified management strategies is unknown because other important and representative decision makers have not been involved in the transdisciplinary research process. The contribution of our transdisciplinary approach to social learning still needs to be assessed.

Knowledge mobilisation in healthcare: a critical review of health sector and generic management literature.

PubMed

Ferlie, Ewan; Crilly, Tessa; Jashapara, Ashok; Peckham, Anna

2012-04-01

The health policy domain has displayed increasing interest in questions of knowledge management and knowledge mobilisation within healthcare organisations. We analyse here the findings of a critical review of generic management and health-related literatures, covering the period 2000-2008. Using 29 pre-selected journals, supplemented by a search of selected electronic databases, we map twelve substantive domains classified into four broad groups: taxonomic and philosophical (e.g. different types of knowledge); theoretical discourse (e.g. critical organisational studies); disciplinary fields (e.g. organisational learning and Information Systems/Information Technology); and organisational processes and structures (e.g. organisational form). We explore cross-overs and gaps between these traditionally separate literature streams. We found that health sector literature has absorbed some generic concepts, notably Communities of Practice, but has not yet deployed the performance-oriented perspective of the Resource Based View (RBV) of the Firm. The generic literature uses healthcare sites to develop critical analyses of power and control in knowledge management, rooted in neo-Marxist/labour process and Foucauldian approaches. The review generates three theoretically grounded statements to inform future enquiry, by: (a) importing the RBV stream; (b) developing the critical organisational studies perspective further; and (c) exploring the theoretical argument that networks and other alternative organisational forms facilitate knowledge sharing. Copyright © 2012 Elsevier Ltd. All rights reserved.

77 FR 65937 - Advisory Council to the Internal Revenue Service; Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-31

... Continuing to Balance Compliance and Tax Enforcement, Streamling the Audit Process, Managing Knowledge in the Issue Practice Groups and International Practice Networks, How Lien Withdrawal Processing should be made...) (Form 1040), Increase BMF Electronic Filing, Guidance Respecting Obligations of Tax Practitioner Under...

Knowledge-based operation and management of communications systems

NASA Technical Reports Server (NTRS)

Heggestad, Harold M.

1988-01-01

Expert systems techniques are being applied in operation and control of the Defense Communications System (DCS), which has the mission of providing reliable worldwide voice, data and message services for U.S. forces and commands. Thousands of personnel operate DCS facilities, and many of their functions match the classical expert system scenario: complex, skill-intensive environments with a full spectrum of problems in training and retention, cost containment, modernization, and so on. Two of these functions are: (1) fault isolation and restoral of dedicated circuits at Tech Control Centers, and (2) network management for the Defense Switched Network (the modernized dial-up voice system currently replacing AUTOVON). An expert system for the first of these is deployed for evaluation purposes at Andrews Air Force Base, and plans are being made for procurement of operational systems. In the second area, knowledge obtained with a sophisticated simulator is being embedded in an expert system. The background, design and status of both projects are described.

Knowledge-based operation and management of communications systems

NASA Astrophysics Data System (ADS)

Heggestad, Harold M.

1988-11-01

Expert systems techniques are being applied in operation and control of the Defense Communications System (DCS), which has the mission of providing reliable worldwide voice, data and message services for U.S. forces and commands. Thousands of personnel operate DCS facilities, and many of their functions match the classical expert system scenario: complex, skill-intensive environments with a full spectrum of problems in training and retention, cost containment, modernization, and so on. Two of these functions are: (1) fault isolation and restoral of dedicated circuits at Tech Control Centers, and (2) network management for the Defense Switched Network (the modernized dial-up voice system currently replacing AUTOVON). An expert system for the first of these is deployed for evaluation purposes at Andrews Air Force Base, and plans are being made for procurement of operational systems. In the second area, knowledge obtained with a sophisticated simulator is being embedded in an expert system. The background, design and status of both projects are described.

An ecosystem service approach to support integrated pond management: a case study using Bayesian belief networks--highlighting opportunities and risks.

PubMed

Landuyt, Dries; Lemmens, Pieter; D'hondt, Rob; Broekx, Steven; Liekens, Inge; De Bie, Tom; Declerck, Steven A J; De Meester, Luc; Goethals, Peter L M

2014-12-01

Freshwater ponds deliver a broad range of ecosystem services (ESS). Taking into account this broad range of services to attain cost-effective ESS delivery is an important challenge facing integrated pond management. To assess the strengths and weaknesses of an ESS approach to support decisions in integrated pond management, we applied it on a small case study in Flanders, Belgium. A Bayesian belief network model was developed to assess ESS delivery under three alternative pond management scenarios: intensive fish farming (IFF), extensive fish farming (EFF) and nature conservation management (NCM). A probabilistic cost-benefit analysis was performed that includes both costs associated with pond management practices and benefits associated with ESS delivery. Whether or not a particular ESS is included in the analysis affects the identification of the most preferable management scenario by the model. Assessing the delivery of a more complete set of ecosystem services tends to shift the results away from intensive management to more biodiversity-oriented management scenarios. The proposed methodology illustrates the potential of Bayesian belief networks. BBNs facilitate knowledge integration and their modular nature encourages future model expansion to more encompassing sets of services. Yet, we also illustrate the key weaknesses of such exercises, being that the choice whether or not to include a particular ecosystem service may determine the suggested optimal management practice. Copyright © 2014 Elsevier Ltd. All rights reserved.

Knowledge Management through the Equilibrium Pattern Model for Learning

NASA Astrophysics Data System (ADS)

Sarirete, Akila; Noble, Elizabeth; Chikh, Azeddine

Contemporary students are characterized by having very applied learning styles and methods of acquiring knowledge. This behavior is consistent with the constructivist models where students are co-partners in the learning process. In the present work the authors developed a new model of learning based on the constructivist theory coupled with the cognitive development theory of Piaget. The model considers the level of learning based on several stages and the move from one stage to another requires learners' challenge. At each time a new concept is introduced creates a disequilibrium that needs to be worked out to return back to its equilibrium stage. This process of "disequilibrium/equilibrium" has been analyzed and validated using a course in computer networking as part of Cisco Networking Academy Program at Effat College, a women college in Saudi Arabia. The model provides a theoretical foundation for teaching especially in a complex knowledge domain such as engineering and can be used in a knowledge economy.

The science of trail surveys: Recreation ecology provides new tools for managing wilderness trails

USGS Publications Warehouse

Marion, Jeffrey L.; Wimpey, Jeremy F.; Park, Logan O.

2011-01-01

Recreation ecology examines the effects of recreation on protected area ecosystems. One core focus of recreation ecology research is trail science, including the development of efficient protocols to assess and monitor the type and severity of resource impacts, analyses to improve knowledge of factors that influence trail conditions, and studies to assist land managers in improving trail design, maintenance, and visitor management. This article reviews alternative trail survey methodologies most useful for the management of wilderness and backcountry trail networks. Illustrations and implications from survey data for trail planning, design, and management are included.

Bayesian networks improve causal environmental ...

EPA Pesticide Factsheets

Rule-based weight of evidence approaches to ecological risk assessment may not account for uncertainties and generally lack probabilistic integration of lines of evidence. Bayesian networks allow causal inferences to be made from evidence by including causal knowledge about the problem, using this knowledge with probabilistic calculus to combine multiple lines of evidence, and minimizing biases in predicting or diagnosing causal relationships. Too often, sources of uncertainty in conventional weight of evidence approaches are ignored that can be accounted for with Bayesian networks. Specifying and propagating uncertainties improve the ability of models to incorporate strength of the evidence in the risk management phase of an assessment. Probabilistic inference from a Bayesian network allows evaluation of changes in uncertainty for variables from the evidence. The network structure and probabilistic framework of a Bayesian approach provide advantages over qualitative approaches in weight of evidence for capturing the impacts of multiple sources of quantifiable uncertainty on predictions of ecological risk. Bayesian networks can facilitate the development of evidence-based policy under conditions of uncertainty by incorporating analytical inaccuracies or the implications of imperfect information, structuring and communicating causal issues through qualitative directed graph formulations, and quantitatively comparing the causal power of multiple stressors on value

Knowledge Co-production at the Research-Practice Interface: Embedded Case Studies from Urban Forestry.

PubMed

Campbell, Lindsay K; Svendsen, Erika S; Roman, Lara A

2016-06-01

Cities are increasingly engaging in sustainability efforts and investment in green infrastructure, including large-scale urban tree planting campaigns. In this context, researchers and practitioners are working jointly to develop applicable knowledge for planning and managing the urban forest. This paper presents three case studies of knowledge co-production in the field of urban forestry in the United States. These cases were selected to span a range of geographic scales and topical scopes; all three are examples of urban researcher-practitioner networks in which the authors are situated to comment on reflexively. The three cases resemble institutional structures described in the knowledge co-production literature, including participatory research, a hybrid organization of scientists and managers, and a community of practice. We find that trust, embeddedness, new approaches by both practitioners and researchers, and blending of roles all serve to recognize multiple forms of capability, expertise, and ways of knowing. We discuss the impacts of knowledge co-production and the ways in which hybrid institutional forms can enable its occurrence.

Knowledge Co-production at the Research-Practice Interface: Embedded Case Studies from Urban Forestry

NASA Astrophysics Data System (ADS)

Campbell, Lindsay K.; Svendsen, Erika S.; Roman, Lara A.

2016-06-01

Cities are increasingly engaging in sustainability efforts and investment in green infrastructure, including large-scale urban tree planting campaigns. In this context, researchers and practitioners are working jointly to develop applicable knowledge for planning and managing the urban forest. This paper presents three case studies of knowledge co-production in the field of urban forestry in the United States. These cases were selected to span a range of geographic scales and topical scopes; all three are examples of urban researcher-practitioner networks in which the authors are situated to comment on reflexively. The three cases resemble institutional structures described in the knowledge co-production literature, including participatory research, a hybrid organization of scientists and managers, and a community of practice. We find that trust, embeddedness, new approaches by both practitioners and researchers, and blending of roles all serve to recognize multiple forms of capability, expertise, and ways of knowing. We discuss the impacts of knowledge co-production and the ways in which hybrid institutional forms can enable its occurrence.

A study of anthropogenic and climatic disturbance of the New River Estuary using a Bayesian belief network.

PubMed

Nojavan A, Farnaz; Qian, Song S; Paerl, Hans W; Reckhow, Kenneth H; Albright, Elizabeth A

2014-06-15

The present paper utilizes a Bayesian Belief Network (BBN) approach to intuitively present and quantify our current understanding of the complex physical, chemical, and biological processes that lead to eutrophication in an estuarine ecosystem (New River Estuary, North Carolina, USA). The model is further used to explore the effects of plausible future climatic and nutrient pollution management scenarios on water quality indicators. The BBN, through visualizing the structure of the network, facilitates knowledge communication with managers/stakeholders who might not be experts in the underlying scientific disciplines. Moreover, the developed structure of the BBN is transferable to other comparable estuaries. The BBN nodes are discretized exploring a new approach called moment matching method. The conditional probability tables of the variables are driven by a large dataset (four years). Our results show interaction among various predictors and their impact on water quality indicators. The synergistic effects caution future management actions. Copyright © 2014 Elsevier Ltd. All rights reserved.

Synergizing expectation and execution for stroke communities of practice innovations

PubMed Central

2010-01-01

Background Regional networks have been recognized as an interesting model to support interdisciplinary and inter-organizational interactions that lead to meaningful care improvements. Existing communities of practice within the a regional network, the Montreal Stroke Network (MSN) offers a compelling structure to better manage the exponential growth of knowledge and to support care providers to better manage the complex cases they must deal with in their practices. This research project proposes to examine internal and external factors that influence individual and organisational readiness to adopt national stroke best practices and to assess the impact of an e-collaborative platform in facilitating knowledge translation activities. Methods We will develop an e-collaborative platform that will include various social networking and collaborative tools. We propose to create online brainstorming sessions ('jams') around each best practice recommendation. Jam postings will be analysed to identify emergent themes. Syntheses of these analyses will be provided to members to help them identify priority areas for practice change. Discussions will be moderated by clinical leaders, whose role will be to accelerate crystallizing of ideas around 'how to' implement selected best practices. All clinicians (~200) involved in stroke care among the MSN will be asked to participate. Activities during face-to-face meetings and on the e-collaborative platform will be documented. Content analysis of all activities will be performed using an observation grid that will use as outcome indicators key elements of communities of practice and of the knowledge creation cycle developed by Nonaka. Semi-structured interviews will be conducted among users of the e-collaborative platform to collect information on variables of the knowledge-to-action framework. All participants will be asked to complete three questionnaires: the typology questionnaire, which classifies individuals into one of four mutually exclusive categories of information seeking; the e-health state of readiness, which covers ten domains of the readiness to change; and a community of practice evaluation survey. Summary This project is expected to enhance our understanding of collaborative work across disciplines and organisations in accelerating implementation of best practices along the continuum of care, and how e-technologies influence access, sharing, creation, and application of knowledge. PMID:20529305

Effects of participation in the Executive Leadership in Academic Medicine (ELAM) program on women faculty's perceived leadership capabilities.

PubMed

McDade, Sharon A; Richman, Rosalyn C; Jackson, Gregg B; Morahan, Page S

2004-04-01

This study measured the impact of participation by women academics in the Executive Leadership in Academic Medicine (ELAM) program as part of a robust evaluation agenda. The design is a classic pre/post, within-group, self-report study. The survey elicits self-perception about leadership in ten constructs: knowledge of leadership, management, and organizational theory; environmental scanning; financial management; communication; networking and coalition building; conflict management; general leadership; assessment of strengths and weaknesses; acceptance of leadership demands; and career advancement sophistication. The post surveys inquire additionally about perceived program usefulness. Data were collected from 79 participants (1997-98, 1998-99, and 2000-01 classes). Response rates were nearly 100% (pre) and 69% to 76% (post). Statistically significant increases (p <.01) in perceived leadership capabilities were identified across all ten leadership constructs. Gains were large in knowledge of leadership and organizational theory, environmental scanning, financial management, and general leadership. Gains in career building knowledge were large to moderate. More modest were gains in communication, networking, and conflict management. There were significant correlations between each leadership construct and perceived usefulness of the program. Significant improvements were reported on all leadership constructs, even when participants viewed themselves as already skilled. While it cannot be concluded that participation in ELAM directly and solely caused all improvements, it seems unlikely that midcareer women faculty would improve on all ten constructs in 11 months after program completion by natural maturation alone. Future research will investigate whether the changes are due to ELAM or other factors, and assess whether participants show more rapid advancement into leadership than comparable women not participating in ELAM.

Food Allergy Knowledge and Attitudes of Restaurant Managers and Staff: An EHS-Net Study

PubMed Central

Radke, Taylor J.; Brown, Laura G.; Hoover, E. Rickamer; Faw, Brenda V.; Reimann, David; Wong, Melissa R.; Nicholas, David; Barkley, Jonathan; Ripley, Danny

2016-01-01

Dining outside of the home can be difficult for persons with food allergies who must rely on restaurant staff to properly prepare allergen-free meals. The purpose of this study was to understand and identify factors associated with food allergy knowledge and attitudes among restaurant managers, food workers, and servers. This study was conducted by the Environmental Health Specialists Network (EHS-Net), a collaborative forum of federal, state, and local environmental health specialists working to understand the environmental factors associated with food safety issues. EHS-Net personnel collected data from 278 randomly selected restaurants through interviews with restaurant managers, food workers, and servers. Results indicated that managers, food workers, and servers were generally knowledgeable and had positive attitudes about accommodating customers’ food allergies. However, we identified important gaps, such as more than 10% of managers and staff believed that a person with a food allergy can safely consume a small amount of that allergen. Managers and staff also had lower confidence in their restaurant’s ability to properly respond to a food allergy emergency. The knowledge and attitudes of all groups were higher at restaurants that had a specific person to answer food allergy questions and requests or a plan for answering questions from food allergic customers. However, food allergy training was not associated with knowledge in any of the groups but was associated with manager and server attitudes. Based on these findings, we encourage restaurants to be proactive by training staff about food allergies and creating plans and procedures to reduce the risk of a customer having a food allergic reaction. PMID:28221943

Food Allergy Knowledge and Attitudes of Restaurant Managers and Staff: An EHS-Net Study.

PubMed

Radke, Taylor J; Brown, Laura G; Hoover, E Rickamer; Faw, Brenda V; Reimann, David; Wong, Melissa R; Nicholas, David; Barkley, Jonathan; Ripley, Danny

2016-09-01

Dining outside of the home can be difficult for persons with food allergies who must rely on restaurant staff to properly prepare allergen-free meals. The purpose of this study was to understand and identify factors associated with food allergy knowledge and attitudes among restaurant managers, food workers, and servers. This study was conducted by the Environmental Health Specialists Network (EHS-Net), a collaborative forum of federal, state, and local environmental health specialists working to understand the environmental factors associated with food safety issues. EHS-Net personnel collected data from 278 randomly selected restaurants through interviews with restaurant managers, food workers, and servers. Results indicated that managers, food workers, and servers were generally knowledgeable and had positive attitudes about accommodating customers' food allergies. However, we identified important gaps, such as more than 10% of managers and staff believed that a person with a food allergy can safely consume a small amount of that allergen. Managers and staff also had lower confidence in their restaurant's ability to properly respond to a food allergy emergency. The knowledge and attitudes of all groups were higher at restaurants that had a specific person to answer food allergy questions and requests or a plan for answering questions from food allergic customers. However, food allergy training was not associated with knowledge in any of the groups but was associated with manager and server attitudes. Based on these findings, we encourage restaurants to be proactive by training staff about food allergies and creating plans and procedures to reduce the risk of a customer having a food allergic reaction.

Scale-free network provides an optimal pattern for knowledge transfer

NASA Astrophysics Data System (ADS)

Lin, Min; Li, Nan

2010-02-01

We study numerically the knowledge innovation and diffusion process on four representative network models, such as regular networks, small-world networks, random networks and scale-free networks. The average knowledge stock level as a function of time is measured and the corresponding growth diffusion time, τ is defined and computed. On the four types of networks, the growth diffusion times all depend linearly on the network size N as τ∼N, while the slope for scale-free network is minimal indicating the fastest growth and diffusion of knowledge. The calculated variance and spatial distribution of knowledge stock illustrate that optimal knowledge transfer performance is obtained on scale-free networks. We also investigate the transient pattern of knowledge diffusion on the four networks, and a qualitative explanation of this finding is proposed.

Job Power: Career Management Resources for Librarians.

ERIC Educational Resources Information Center

Wein, Terren Ilana; Gagnon, Marjorie; Barrett, Maura

2003-01-01

Discusses prospects in the job market for information professionals and emphasizes the need to be flexible. Highlights include examining the gap in skills and knowledge that may be needed; resources for resumes; resources for networking and interview preparation; sources of job postings; general career tools; international opportunities; career…

Water level determination for transportation projects : mean high water manual, final report, November 2009.

DOT National Transportation Integrated Search

2009-11-01

To ensure proficient network management and safe usage of navigable waterways especially in waters that are : subject to tides, it is essential that the height of the water at various tidal phases be known. This knowledge is also : essential for prop...

TRAC Searchable Research Library

DTIC Science & Technology

2016-05-01

network accessible document repository for technical documents and similar document artifacts. We used a model-based approach using the Vector...demonstration and model refinement. 14. SUBJECT TERMS Knowledge Management, Document Repository , Digital Library, Vector Directional Data Model...27 Figure D1. Administrator Repository Upload Page. ................................................................... D-2 Figure D2

Information revolution in nursing and health care: educating for tomorrow's challenge.

PubMed

Kooker, B M; Richardson, S S

1994-06-01

Current emphasis on the national electronic highway and a national health database for comparative health care reporting demonstrates society's increasing reliance on information technology. The efficient electronic processing and managing of data, information, and knowledge are critical for survival in tomorrow's health care organization. To take a leadership role in this information revolution, informatics nurse specialists must possess competencies that incorporate information science, computer science, and nursing science for successful information system development. In selecting an appropriate informatics educational program or to hire an individual capable of meeting this challenge, nurse administrators must look for the following technical knowledge and skill set: information management principles, system development life cycle, programming languages, file design and access, hardware and network architecture, project management skills, and leadership abilities.

IASON - Fostering sustainability and uptake of research results through Networking activities in Black Sea & Mediterranean areas

NASA Astrophysics Data System (ADS)

Patias, P.

2014-09-01

IASON Project has the ultimate goal to establish a permanent and sustainable Network of scientific and non-scientific institutions, stakeholders and private sector enterprises belonging in the EU and third countries located in two significant areas: The Mediterranean and the Black Sea regions. The main focal points of the project will be the usage and application of Earth Observation (EO) in the following topics: - climate change - resource efficiency - raw materials management IASON aims to build on the experiences gained by 5 FP7 funded projects, OBSERVE, enviroGRIDS, GEONETCab, EGIDA, and BalkanGEONet. All of the above projects focused on enhancing EO capacities, knowledge and technology in the EU and in neighborhood countries. During their execution time they managed to establish links with a critical mass of research institutions, organizations, public organizations, stakeholders, and policy makers in the Balkan region, the Mediterranean, and the Black Sea Basin. IASON intends to create the proper conditions for enhancing knowledge transfer capacity building, and market opportunities in using EO applications and mechanisms in specific research fields that are addressing climate actions resource efficiency and raw materials management.

Use of webboards for distance learning: a physical therapy model.

PubMed

Teyhen, D S; Flynn, T; Allison, S

2001-04-01

In today's world of ever-increasing knowledge and technology, mastering the use of information is critical for success. U.S. Army physical therapists have successfully used the Knowledge Management Network as a tool to foster communication, education, and training. The model outlined in this article can serve both as a model for promoting distance learning and as a success story of how to merge today's technology with the medical community to improve productivity and communication.

Northeast Artificial Intelligence Consortium (NAIC). Volume 4. Distributed Artificial Intelligence for Communications Network Management

DTIC Science & Technology

1990-12-01

subject to resource constraints. Mul- tista~ze negotiation has been developed as a means by which an agent can acquire ,em 0ugh additional knowledge to...complete knowledge often expands the search space without providing a compensatiN means for focusing the search. In a multi-agent system with each...These relationships have strengthened our abilities to conduct meaningful research and to assist the transfer of technolog frni th, 81 university

The shaping of social perception by stimulus and knowledge cues to human animacy

PubMed Central

Ramsey, Richard; Liepelt, Roman; Prinz, Wolfgang; Hamilton, Antonia F. de C.

2016-01-01

Although robots are becoming an ever-growing presence in society, we do not hold the same expectations for robots as we do for humans, nor do we treat them the same. As such, the ability to recognize cues to human animacy is fundamental for guiding social interactions. We review literature that demonstrates cortical networks associated with person perception, action observation and mentalizing are sensitive to human animacy information. In addition, we show that most prior research has explored stimulus properties of artificial agents (humanness of appearance or motion), with less investigation into knowledge cues (whether an agent is believed to have human or artificial origins). Therefore, currently little is known about the relationship between stimulus and knowledge cues to human animacy in terms of cognitive and brain mechanisms. Using fMRI, an elaborate belief manipulation, and human and robot avatars, we found that knowledge cues to human animacy modulate engagement of person perception and mentalizing networks, while stimulus cues to human animacy had less impact on social brain networks. These findings demonstrate that self–other similarities are not only grounded in physical features but are also shaped by prior knowledge. More broadly, as artificial agents fulfil increasingly social roles, a challenge for roboticists will be to manage the impact of pre-conceived beliefs while optimizing human-like design. PMID:26644594

The shaping of social perception by stimulus and knowledge cues to human animacy.

PubMed

Cross, Emily S; Ramsey, Richard; Liepelt, Roman; Prinz, Wolfgang; de C Hamilton, Antonia F

2016-01-19

Although robots are becoming an ever-growing presence in society, we do not hold the same expectations for robots as we do for humans, nor do we treat them the same. As such, the ability to recognize cues to human animacy is fundamental for guiding social interactions. We review literature that demonstrates cortical networks associated with person perception, action observation and mentalizing are sensitive to human animacy information. In addition, we show that most prior research has explored stimulus properties of artificial agents (humanness of appearance or motion), with less investigation into knowledge cues (whether an agent is believed to have human or artificial origins). Therefore, currently little is known about the relationship between stimulus and knowledge cues to human animacy in terms of cognitive and brain mechanisms. Using fMRI, an elaborate belief manipulation, and human and robot avatars, we found that knowledge cues to human animacy modulate engagement of person perception and mentalizing networks, while stimulus cues to human animacy had less impact on social brain networks. These findings demonstrate that self-other similarities are not only grounded in physical features but are also shaped by prior knowledge. More broadly, as artificial agents fulfil increasingly social roles, a challenge for roboticists will be to manage the impact of pre-conceived beliefs while optimizing human-like design. © 2015 The Authors.

An Energy-Efficient Secure Routing and Key Management Scheme for Mobile Sinks in Wireless Sensor Networks Using Deployment Knowledge

PubMed Central

Hung, Le Xuan; Canh, Ngo Trong; Lee, Sungyoung; Lee, Young-Koo; Lee, Heejo

2008-01-01

For many sensor network applications such as military or homeland security, it is essential for users (sinks) to access the sensor network while they are moving. Sink mobility brings new challenges to secure routing in large-scale sensor networks. Previous studies on sink mobility have mainly focused on efficiency and effectiveness of data dissemination without security consideration. Also, studies and experiences have shown that considering security during design time is the best way to provide security for sensor network routing. This paper presents an energy-efficient secure routing and key management for mobile sinks in sensor networks, called SCODEplus. It is a significant extension of our previous study in five aspects: (1) Key management scheme and routing protocol are considered during design time to increase security and efficiency; (2) The network topology is organized in a hexagonal plane which supports more efficiency than previous square-grid topology; (3) The key management scheme can eliminate the impacts of node compromise attacks on links between non-compromised nodes; (4) Sensor node deployment is based on Gaussian distribution which is more realistic than uniform distribution; (5) No GPS or like is required to provide sensor node location information. Our security analysis demonstrates that the proposed scheme can defend against common attacks in sensor networks including node compromise attacks, replay attacks, selective forwarding attacks, sinkhole and wormhole, Sybil attacks, HELLO flood attacks. Both mathematical and simulation-based performance evaluation show that the SCODEplus significantly reduces the communication overhead, energy consumption, packet delivery latency while it always delivers more than 97 percent of packets successfully. PMID:27873956

An Energy-Efficient Secure Routing and Key Management Scheme for Mobile Sinks in Wireless Sensor Networks Using Deployment Knowledge.

PubMed

Hung, Le Xuan; Canh, Ngo Trong; Lee, Sungyoung; Lee, Young-Koo; Lee, Heejo

2008-12-03

For many sensor network applications such as military or homeland security, it is essential for users (sinks) to access the sensor network while they are moving. Sink mobility brings new challenges to secure routing in large-scale sensor networks. Previous studies on sink mobility have mainly focused on efficiency and effectiveness of data dissemination without security consideration. Also, studies and experiences have shown that considering security during design time is the best way to provide security for sensor network routing. This paper presents an energy-efficient secure routing and key management for mobile sinks in sensor networks, called SCODE plus . It is a significant extension of our previous study in five aspects: (1) Key management scheme and routing protocol are considered during design time to increase security and efficiency; (2) The network topology is organized in a hexagonal plane which supports more efficiency than previous square-grid topology; (3) The key management scheme can eliminate the impacts of node compromise attacks on links between non-compromised nodes; (4) Sensor node deployment is based on Gaussian distribution which is more realistic than uniform distribution; (5) No GPS or like is required to provide sensor node location information. Our security analysis demonstrates that the proposed scheme can defend against common attacks in sensor networks including node compromise attacks, replay attacks, selective forwarding attacks, sinkhole and wormhole, Sybil attacks, HELLO flood attacks. Both mathematical and simulation-based performance evaluation show that the SCODE plus significantly reduces the communication overhead, energy consumption, packet delivery latency while it always delivers more than 97 percent of packets successfully.

A study of knowledge supernetworks and network robustness in different business incubators

NASA Astrophysics Data System (ADS)

Zhang, Haihong; Wu, Wenqing; Zhao, Liming

2016-04-01

As the most important intangible resource of the new generation of business incubators, knowledge has been studied extensively, particularly with respect to how it spreads among incubating firms through knowledge networks. However, these homogeneous networks do not adequately describe the heterogeneity of incubating firms in different types of business incubators. To solve the problem of heterogeneity, the notion of a knowledge supernetwork has been used both to construct a knowledge interaction model among incubating firms and to distinguish social network relationships from knowledge network relationships. The process of knowledge interaction and network evolution can then be simulated with a few rules for incubating firms regarding knowledge innovation/absorption, social network connection, and entry and exit, among other aspects. Knowledge and networks have been used as performance indicators to evaluate the evolution of knowledge supernetworks. Moreover, we study the robustness of incubating firms' social networks by employing four types of attack strategies. Based on our simulation results, we conclude that there have been significant knowledge interaction and network evolution among incubating firms on a periodic basis and that both specialized and diversified business incubators have every advantage necessary in terms of both knowledge and networks to cultivate start-up companies. As far as network robustness is concerned, there is no obvious difference between the two types of business incubators with respect to the stability of their network structures, but specialized business incubators have stronger network communication abilities than diversified business incubators.

Unleashing the power of human genetic variation knowledge: New Zealand stakeholder perspectives.

PubMed

Gu, Yulong; Warren, James Roy; Day, Karen Jean

2011-01-01

This study aimed to characterize the challenges in using genetic information in health care and to identify opportunities for improvement. Taking a grounded theory approach, semistructured interviews were conducted with 48 participants to collect multiple stakeholder perspectives on genetic services in New Zealand. Three themes emerged from the data: (1) four service delivery models were identified in operation, including both those expected models involving genetic counselors and variations that do not route through the formal genetic service program; (2) multiple barriers to sharing and using genetic information were perceived, including technological, organizational, institutional, legal, ethical, and social issues; and (3) impediments to wider use of genetic testing technology, including variable understanding of genetic test utilities among clinicians and the limited capacity of clinical genetic services. Targeting these problems, information technologies and knowledge management tools have the potential to support key tasks in genetic services delivery, improve knowledge processes, and enhance knowledge networks. Because of the effect of issues in genetic information and knowledge management, the potential of human genetic variation knowledge to enhance health care delivery has been put on a "leash."

The power of collaboration: using internet-based tools to facilitate networking and benchmarking within a consortium of academic health centers.

PubMed

Korner, Eli J; Oinonen, Michael J; Browne, Robert C

2003-02-01

The University HealthSystem Consortium (UHC) represents a strategic alliance of 169 academic health centers and associated institutions engaged in knowledge sharing and idea-generation. The use of the Internet as a tool in the delivery of UHC's products and services has increased dramatically over the past year and will continue to increase during the foreseeable future. This paper examines the current state of UHC-member institution driven tools and services that utilize the Web as a fundamental component in their delivery. The evolution of knowledge management at UHC, its management information and reporting tools, and expansion of e-commerce provide real world examples of Internet use in health care delivery and management. Health care workers are using these Web-based tools to help manage rising costs and optimize patient outcomes. Policy, technical, and organizational issues must be resolved to facilitate rapid adoption of Internet applications.

Stakeholders' expectations on connectivity research for water and land management addressed by a survey in the collaborative EU-COST Connecteur network

NASA Astrophysics Data System (ADS)

Smetanova, Anna; Paton, Eva N.; Keesstra, Saskia

2016-04-01

Transfer of knowledge across the science-society interface is essential for both, ethical and economic reasons, and inevitable for successful climate change adaptation and integrated management of sustainable, resilient landscapes. The transdisciplinary research of connectivity (which is the degree to which a system facilitates the movement of matter and energy through itself. It is an emergent property of the system state, Connecteur web resources,2015) has the potential to supply monitoring, modelling and management tools to land and water managers in order to reach these goals. The research of water and sediment connectivity has received significant and increasing scientific attention across the entire realm of the environmental disciplines, and the COST Action ES 1306 Connecteur facilitates the multi-sectorial collaboration in connectivity research at EU level. In order to appropriately address the transfer of the cutting edge research developments of the Connecteur network, the collaborative research project on stakeholders' perception of connectivity was conducted by the Working Group 5 "Transition of connectivity research towards sustainable land and water management". The questionnaire survey on stakeholder perception was conducted by volunteering scientist involved in the Connecteur network together from 19 European countries. Together 84 stakeholders from all mayor sectors in water and land management were asked about the main challenges of their work, their understanding of connectivity, the desired areas of cooperation with connectivity science, and the best tools for transferring knowledge. The results showed differences between different stakeholders groups in the way they percept and work with connectivity, as well as their requirement of knowledge transfers. While farmers, and (in lower extend) the agricultural administration officers articulated no, or little need for connectivity management, the majority of stakeholders involved in land and water management found it important. The need of scientist involvement in educational activities (targeting farmers), provision of training in newly developed easily usable tools (models or maps) based on existing data and training in this tools (for land and water management) were, together with freely available data, the most frequently expressed desired way of communication. The results of the study help to improve the research pathways of all working groups of COST Action ES 1306 Connecteur, and to identify the important way of transfer of the connectivity science to all relevant stakeholders. The project was supported by COST-STSM-ES1306-011215-063624. Connecteur web resources (2015) http://connecteur.info/wiki/connectivity-wiki/, 07.01.2016

Information Technology. DOD Needs to Strengthen Management of Its Statutorily Mandated Software and System Process Improvement Efforts

DTIC Science & Technology

2009-09-01

NII)/CIO Assistant Secretary of Defense for Networks and Information Integration/Chief Information Officer CMMI Capability Maturity Model...a Web-based portal to share knowledge about software process-related methodologies, such as the SEI’s Capability Maturity Model Integration ( CMMI ...19 SEI’s IDEALSM model, and Lean Six Sigma.20 For example, the portal features content areas such as software acquisition management, the SEI CMMI

[The Library of Medicine of Córdoba, witness and protagonist of knowledge from the end of the 19th Century to the beginning of 21st Century].

PubMed

Graciela Cañete, M

2004-01-01

In the nineteenth century, was founded the Medicine's Library of the National University Faculty of Medicine, center of knowledge, new ideas and teaching. The history library sector hold the valuable inheritance that represent the collection of Teachers Doctors, Pablo Mirizzi, Temístocles Castellano, Pedro Ara, José F. Verna, Juan Martín Allende located with the books and thesis of the XIX century and beginning of XX century. In 1986 it integrates the National Health Science Information Network and also, the Latino American and the Caribbean Health Science Information Network. The health libraries are in front of a new paradigm. The technologies of information and communication require new methods for administration of the information's resources and services, to answer the society information needs in the knowledge age. The traditional and virtual library is one unit that complement sources in different supports, electronic publications and interactive networks. It is the nexus between the scientific inheritance and the society, and it's mission is: Give local and virtual information's services and management the information's resources, basis of the knowledge society, support of teaching, investigation and extension of the Medical Sciences Faculty of the Córdoba National University.

Characterizing the Networks of Digital Information that Support Collaborative Adaptive Forest Management in Sierra Nevada Forests.

PubMed

Lei, Shufei; Iles, Alastair; Kelly, Maggi

2015-07-01

Some of the factors that can contribute to the success of collaborative adaptive management--such as social learning, open communication, and trust--are built upon a foundation of the open exchange of information about science and management between participants and the public. Despite the importance of information transparency, the use and flow of information in collaborative adaptive management has not been characterized in detail in the literature, and currently there exist opportunities to develop strategies for increasing the exchange of information, as well as to track information flow in such contexts. As digital information channels and networks have been increased over the last decade, powerful new information monitoring tools have also been evolved allowing for the complete characterization of information products through their production, transport, use, and monitoring. This study uses these tools to investigate the use of various science and management information products in a case study--the Sierra Nevada Adaptive Management Project--using a mixed method (citation analysis, web analytics, and content analysis) research approach borrowed from the information processing and management field. The results from our case study show that information technologies greatly facilitate the flow and use of digital information, leading to multiparty collaborations such as knowledge transfer and public participation in science research. We conclude with recommendations for expanding information exchange in collaborative adaptive management by taking advantage of available information technologies and networks.

Lexical Link Analysis (LLA) Application: Improving Web Service to Defense Acquisition Visibility Environment

DTIC Science & Technology

2015-09-30

and Knowledge Management (IC3K), Madeira , Portugal. Girvan, M., & Newman, M. E. J. (2002). Community structure in social and biological networks...Trident Warrior 08 exercise. In KDIR, Madeira , Portugal, INSTICC Press. Zhao, Y., Gallup, S.P., & MacKinnon, D.J. (2010). Towards real-time program

Re-conceptualsing Learning Spaces: Developing Capabilities in a High-Tech Small Firm.

ERIC Educational Resources Information Center

Macpherson, Allan; Jones, Ossie; Zhang, Michael; Wilson, Alison

2003-01-01

A case study of a small high-tech business explains how they created a virtual cluster of innovation through supply networks, enhancing their own learning and facilitating integration of knowledge. This process overcomes limitations to management learning for small companies in isolated regions. (Contains 66 references.) (SK)

"The Research Assistant."

ERIC Educational Resources Information Center

Schuch, Dan

2001-01-01

"The Research Assistant," was developed to help graduate students and faculty manage the quantity of available information, to be able to read it, synthesize it, and create new insights and knowledge. "The Research Assistant" was designed using the Filemaker Pro relational database and can be set up in a networked environment to be used in…

Enhancing (In)Formal Learning Ties in Interdisciplinary Management Courses: A Quasi-Experimental Social Network Study

ERIC Educational Resources Information Center

Rienties, Bart; Héliot, YingFei

2018-01-01

While interdisciplinary courses are regarded as a promising method for students to learn and apply knowledge from other disciplines, there is limited empirical evidence available whether interdisciplinary courses can effectively "create" interdisciplinary students. In this innovative quasi-experimental study amongst 377 Master's…

Collaborative Learning in Advanced Supply Systems: The KLASS Pilot Project.

ERIC Educational Resources Information Center

Rhodes, Ed; Carter, Ruth

2003-01-01

The Knowledge and Learning in Advanced Supply Systems (KLASS) project developed collaborative learning networks of suppliers in the British automotive and aerospace industries. Methods included face-to-face and distance learning, work toward National Vocational Qualifications, and diagnostic workshops for senior managers on improving quality,…

Digital Libraries Are Much More than Digitized Collections.

ERIC Educational Resources Information Center

Peters, Peter Evan

1995-01-01

The digital library encompasses the application of high-performance computers and networks to the production, distribution, management, and use of knowledge in research and education. A joint project by three federal agencies, which is investing in digital library initiatives at six universities, is discussed. A sidebar provides issues to consider…

Effects of Multimedia Instructional Strategy for Enhancing Students' Learning and Retention in Mathematics

ERIC Educational Resources Information Center

Kumar, R. Raj; Hema, G.

2017-01-01

Information and Communication Technology (ICT) has infused in every walk of life effecting the technology fields, such as launching satellites, managing businesses across the globe, and also enabling social networking. The technological tools provide students in discovering, classifying, and enhancing the knowledge towards mathematical concepts…

Seamless Management of Paper and Electronic Documents for Task Knowledge Sharing

NASA Astrophysics Data System (ADS)

Kojima, Hiroyuki; Iwata, Ken

Due to the progress of Internet technology and the increase of distributed information on networks, the present knowledge management has been based more and more on the performance of various experienced users. In addition to the increase of electronic documents, the use of paper documents has not been reduced because of their convenience. This paper describes a method of tracking paper document locations and contents using radio frequency identification (RFID) technology. This research also focuses on the expression of a task process and the seamless structuring of related electronic and paper documents as a result of task knowledge formalization using information organizing. A system is proposed here that implements information organization for both Web documents and paper documents with the task model description and RFID technology. Examples of a prototype system are also presented.

Learning from the Mars Rover Mission: Scientific Discovery, Learning and Memory

NASA Technical Reports Server (NTRS)

Linde, Charlotte

2005-01-01

Purpose: Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in knowledge production. This paper uses the Mars Exploration Rover mission as a site to explore this process. Approach: Observational study and analysis of the work of the MER science and engineering team during rover operations, to investigate how learning occurs, how it is recorded, and how these representations might be made available for subsequent missions. Findings: Learning occurred in many areas: planning science strategy, using instrumen?s within the constraints of the martian environment, the Deep Space Network, and the mission requirements; using software tools effectively; and running two teams on Mars time for three months. This learning is preserved in many ways. Primarily it resides in individual s memories. It is also encoded in stories, procedures, programming sequences, published reports, and lessons learned databases. Research implications: Shows the earliest stages of knowledge creation in a scientific mission, and demonstrates that knowledge management must begin with an understanding of knowledge creation. Practical implications: Shows that studying learning and knowledge creation suggests proactive ways to capture and use knowledge across multiple missions and generations. Value: This paper provides a unique analysis of the learning process of a scientific space mission, relevant for knowledge management researchers and designers, as well as demonstrating in detail how new learning occurs in a learning organization.

The Thai-Australian Health Alliance: developing health management capacity and sustainability for primary health care services.

PubMed

Briggs, D S; Tejativaddhana, P; Cruickshank, M; Fraser, J; Campbell, S

2010-11-01

There have been recent calls for a renewed worldwide focus on primary health care. The Thai-Australian Health Alliance addresses this call by developing health care management capability in primary health care professionals in rural Thailand. This paper describes the history and current activities of the Thai-Australian Health Alliance and its approaches to developing health care management capacity for primary care services through international collaborations in research, education and training over a sustained time period. The Alliance's approach is described herein as a distributed network of practices with access to shared knowledge through collaboration. Its research and education approaches involve action research, multi-methods projects, and evaluative studies in the context of workshops and field studies. WHO principles underpin this approach, with countries sharing practical experiences and outcomes, encouraging leadership and management resource networks, creating clearing houses/knowledge centres, and harmonising and aligning partners with their country's health systems. Various evaluations of the Alliance's activities have demonstrated that a capacity building approach that aligns researchers, educators and health practitioners in comparative and reflective activities can be effective in transferring knowledge and skills among a collaboration's partners. Project participants, including primary health care practitioners, health policy makers and academics embraced the need to acquire management skills to sustain primary care units. Participants believe that the approaches described herein were crucial to developing the management skills needed of health care professionals for rural and remote primary health care. The implementation of this initiative was challenged by pre-existing low opinions of the importance of the management role in health care, but with time the Alliance's activities highlighted for all the importance of health care management. Acceptance of its activities and goals are evidenced by the establishment of a Centre of Leadership Expertise in Health Management and the endorsement of the Phitsanulok Declaration by more than 470 primary health care practitioners, academics and policy makers. Problems with the primary health care delivery system in rural Thailand continue, but the Alliance has successfully implemented a cross cultural strategic collaboration through a continuity of activities to augment practice management capacities in primary care practices.

Effect of Knowledge Management on Organizational Performance: Enabling Thought Leadership and Social Capital through Technology Management

NASA Astrophysics Data System (ADS)

Chalhoub, Michel S.

The present paper studies the relationship between social networks enabled by technological advances in social software, and overall business performance. With the booming popularity of online communication and the rise of knowledge communities, businesses are faced with a challenge as well as an opportunity - should they monitor the use of social software or encourage it and learn from it? We introduce the concept of user-autonomy and user-fun, which go beyond the traditional user-friendly requirement of existing information technologies. We identified 120 entities out of a sample of 164 from Mediterranean countries and the Gulf region, to focus on the effect of social exchange information systems in thought leadership.

InWiM: knowledge management for insurance medicine.

PubMed

Bleuer, Juerg P; Bösch, Kurt; Ludwig, Christian A

2008-01-01

Suva (Swiss National Accident Insurance Fund) is the most important carrier of obligatory accident insurance in Switzerland. Its services not only comprise insurance but also prevention, case management and rehabilitation. Suva's medical division supports doctors in stationary and ambulatory care with comprehensive case management and with conciliar advice. Two Suva clinics provide stationary rehabilitation. Medicine in general, including insurance medicine, faces the problem of a diversity of opinions about the facts of a case. One of the reasons is a diversity of knowledge. This is the reason why Suva initiated a knowledge management project called InWiM. "InWiM" is the acronym for "Integrierte Wissensbasen der Medizin" which can be translated as "Integrated Knowledge Bases in Medicine". The project is part of an ISO 9001 certification program and comprises the definition and documentation of all processes in the field of knowledge management as well as the development of the underlying ITC infrastructure. The knowledge representation model used for the ICT implementation considers knowledge as a multidimensional network of interlinked units of information. In contrast to the hyperlink technology in the World Wide Web, links between items are bidirectional: the target knows the source of the link. Links are therefore called cross-links. The model allows annotation for the narrative description of the nature of the units of information (e.g. documents) and the cross-links as well. Information retrieval is achieved by means of a full implementation of the MeSH Index, the thesaurus of the United States National Library of Medicine (NLM). As far as the authors are aware, InWiM is currently the only implementation worldwide - with the exception of the NLM and its national representatives - which supports all MeSH features for in-house retrieval.

A network model of knowledge accumulation through diffusion and upgrade

NASA Astrophysics Data System (ADS)

Zhuang, Enyu; Chen, Guanrong; Feng, Gang

2011-07-01

In this paper, we introduce a model to describe knowledge accumulation through knowledge diffusion and knowledge upgrade in a multi-agent network. Here, knowledge diffusion refers to the distribution of existing knowledge in the network, while knowledge upgrade means the discovery of new knowledge. It is found that the population of the network and the number of each agent’s neighbors affect the speed of knowledge accumulation. Four different policies for updating the neighboring agents are thus proposed, and their influence on the speed of knowledge accumulation and the topology evolution of the network are also studied.

[Trauma network of the German Association of Trauma Surgery (DGU). Establishment, organization, and quality assurance of a regional trauma network of the DGU].

PubMed

Ruchholtz, S; Kühne, C A; Siebert, H

2007-04-01

The quality of care in Germany for seriously injured patients varies greatly in individual hospitals due to geographic variations among States and differences in resource allocation and treatment concepts. To assure and enhance treatment quality it seems sensible to establish a structured, quality assured network of clinics, which participate in the management of seriously injured patients according to different specified assignments. The conditions necessary for this type of network on a regional scale and for the clinics charged with the care of the seriously injured were summarized in the White Paper entitled "Management of the Seriously Injured-Recommendations for the Structure and Organization of Facilities in Germany for the Treatment of Seriously Injured Persons." The goal of this action is to ensure that every seriously injured person in Germany receives the best possible round-the-clock care in adherence to standardized quality criteria. This requires specialized expertise and the willingness of all involved parties-care providers, cost bearers, and hospital owners-to cooperate in further improving existing treatment concepts. As a logical consequence of long years of experience and scientific knowledge, the German Association of Trauma Surgery has developed a concept for establishing a regional trauma network of clinics, adapted to local conditions, for management of seriously injured patients. The participating facilities assume different responsibilities in the network depending on their equipment and structure. This article describes the individual steps toward establishing and organizing a network.

Disaster management and mitigation: the telecommunications infrastructure.

PubMed

Patricelli, Frédéric; Beakley, James E; Carnevale, Angelo; Tarabochia, Marcello; von Lubitz, Dag K J E

2009-03-01

Among the most typical consequences of disasters is the near or complete collapse of terrestrial telecommunications infrastructures (especially the distribution network--the 'last mile') and their concomitant unavailability to the rescuers and the higher echelons of mitigation teams. Even when such damage does not take place, the communications overload/congestion resulting from significantly elevated traffic generated by affected residents can be highly disturbing. The paper proposes innovative remedies to the telecommunications difficulties in disaster struck regions. The offered solutions are network-centric operations-cap able, and can be employed in management of disasters of any magnitude (local to national or international). Their implementation provide ground rescue teams (such as law enforcement, firemen, healthcare personnel, civilian authorities) with tactical connectivity among themselves, and, through the Next Generation Network backbone, ensure the essential bidirectional free flow of information and distribution of Actionable Knowledge among ground units, command/control centres, and civilian and military agencies participating in the rescue effort.

Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis

PubMed Central

Castro, Alfonso; Sedano, Andrés A.; García, Fco. Javier; Villoslada, Eduardo

2017-01-01

Nowadays, the complexity of global video products has substantially increased. They are composed of several associated services whose functionalities need to adapt across heterogeneous networks with different technologies and administrative domains. Each of these domains has different operational procedures; therefore, the comprehensive management of multi-domain services presents serious challenges. This paper discusses an approach to service management linking fault diagnosis system and Business Processes for Telefónica’s global video service. The main contribution of this paper is the proposal of an extended service management architecture based on Multi Agent Systems able to integrate the fault diagnosis with other different service management functionalities. This architecture includes a distributed set of agents able to coordinate their actions under the umbrella of a Shared Knowledge Plane, inferring and sharing their knowledge with semantic techniques and three types of automatic reasoning: heterogeneous, ontology-based and Bayesian reasoning. This proposal has been deployed and validated in a real scenario in the video service offered by Telefónica Latam. PMID:29283398

Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis.

PubMed

Castro, Alfonso; Sedano, Andrés A; García, Fco Javier; Villoslada, Eduardo; Villagrá, Víctor A

2017-12-28

Nowadays, the complexity of global video products has substantially increased. They are composed of several associated services whose functionalities need to adapt across heterogeneous networks with different technologies and administrative domains. Each of these domains has different operational procedures; therefore, the comprehensive management of multi-domain services presents serious challenges. This paper discusses an approach to service management linking fault diagnosis system and Business Processes for Telefónica's global video service. The main contribution of this paper is the proposal of an extended service management architecture based on Multi Agent Systems able to integrate the fault diagnosis with other different service management functionalities. This architecture includes a distributed set of agents able to coordinate their actions under the umbrella of a Shared Knowledge Plane, inferring and sharing their knowledge with semantic techniques and three types of automatic reasoning: heterogeneous, ontology-based and Bayesian reasoning. This proposal has been deployed and validated in a real scenario in the video service offered by Telefónica Latam.

Characterizing the Networks of Digital Information that Support Collaborative Adaptive Forest Management in Sierra Nevada Forests

NASA Astrophysics Data System (ADS)

Lei, Shufei; Iles, Alastair; Kelly, Maggi

2015-07-01

Some of the factors that can contribute to the success of collaborative adaptive management—such as social learning, open communication, and trust—are built upon a foundation of the open exchange of information about science and management between participants and the public. Despite the importance of information transparency, the use and flow of information in collaborative adaptive management has not been characterized in detail in the literature, and currently there exist opportunities to develop strategies for increasing the exchange of information, as well as to track information flow in such contexts. As digital information channels and networks have been increased over the last decade, powerful new information monitoring tools have also been evolved allowing for the complete characterization of information products through their production, transport, use, and monitoring. This study uses these tools to investigate the use of various science and management information products in a case study—the Sierra Nevada Adaptive Management Project—using a mixed method (citation analysis, web analytics, and content analysis) research approach borrowed from the information processing and management field. The results from our case study show that information technologies greatly facilitate the flow and use of digital information, leading to multiparty collaborations such as knowledge transfer and public participation in science research. We conclude with recommendations for expanding information exchange in collaborative adaptive management by taking advantage of available information technologies and networks.

Adapting to climate change by water management organisations: Enablers and barriers

NASA Astrophysics Data System (ADS)

Azhoni, Adani; Jude, Simon; Holman, Ian

2018-04-01

Climate change will be particularly experienced though the medium of water. Water organisations, that are managing societal and ecological needs for water, are therefore likely to experience the impact the most. This study reviews the current literature regarding adaptation to climate change by water management organisations and associated barriers. Literature on adaptive capacity is growing and a general consensus is emerging on the determinants of adaptive capacity, although variations exist regarding how it is to be evaluated, enhanced and applied to policy making due to its dynamic, contextual and latent nature. Since adaptive capacity is hard to measure and successful adaptation difficult to define, some studies focus on the existence of adaptation attributes of organisations. Studies reporting successful adaptation are minimal and barriers of adaptation are being discovered as adaptation research transitions into implementation. But the root causes of these barriers are often overlooked and the interconnectedness of the barriers is poorly addressed. Increasingly, combining top-down and bottom-up approaches to adaptation is being recommended due to the limitations of each. However, knowledge regarding how organisations operating at different scales can enhance adaptive capacity of other organisations operating at another scale is lacking due to the few studies of inter-organisational networks across scales. Social networks among actors are recognised as a key factor to enable adaptation. However, network studies generally focus on individual actors and rarely between public agencies/organisations. Moreover, the current literature is inadequate to understand the relationship between adaptation enabling characteristics, barriers and adaptation manifestation. The review demonstrates that research on understanding the emergence and sustenance of barriers is urgently required. Addressing these knowledge gaps will help to improve the design of adaptation strategies, thereby improving the ability of water management to address the ongoing challenges of climate change.

Using an established telehealth model to train urban primary care providers on hypertension management.

PubMed

Masi, Christopher; Hamlish, Tamara; Davis, Andrew; Bordenave, Kristine; Brown, Stephen; Perea, Brenda; Aduana, Glen; Wolfe, Marcus; Bakris, George; Johnson, Daniel

2012-01-01

The objective of this study was to determine whether a videoconference-based telehealth network can increase hypertension management knowledge and self-assessed competency among primary care providers (PCPs) working in urban Federally Qualified Health Centers (FQHCs). We created a telehealth network among 6 urban FQHCs and our institution to support a 12-session educational program designed to teach state-of-the-art hypertension management. Each 1-hour session included a brief lecture by a university-based hypertension specialist, case presentations by PCPs, and interactive discussions among the specialist and PCPs. Twelve PCPs (9 intervention and 3 controls) were surveyed at baseline and immediately following the curriculum. The mean number of correct answers on the 26-item hypertension knowledge questionnaire increased in the intervention group (13.11 [standard deviation (SD)]=3.06) to 17.44 [SD=1.59], P<.01) but not among controls (14.33 [SD=3.21] to 13.00 [SD=3.46], P=.06). Similarly, the mean score on a 7-item hypertension management self-assessed competency scale increased in the intervention group (4.68 [SD=0.94] to 5.41 [SD=0.89], P<.01) but not among controls (5.28 [SD=0.43] to 5.62 [SD=0.67], P=.64). This model holds promise for enhancing hypertension care provided by urban FQHC providers. © 2011 Wiley Periodicals, Inc.

Knowledge extraction from evolving spiking neural networks with rank order population coding.

PubMed

Soltic, Snjezana; Kasabov, Nikola

2010-12-01

This paper demonstrates how knowledge can be extracted from evolving spiking neural networks with rank order population coding. Knowledge discovery is a very important feature of intelligent systems. Yet, a disproportionally small amount of research is centered on the issue of knowledge extraction from spiking neural networks which are considered to be the third generation of artificial neural networks. The lack of knowledge representation compatibility is becoming a major detriment to end users of these networks. We show that a high-level knowledge can be obtained from evolving spiking neural networks. More specifically, we propose a method for fuzzy rule extraction from an evolving spiking network with rank order population coding. The proposed method was used for knowledge discovery on two benchmark taste recognition problems where the knowledge learnt by an evolving spiking neural network was extracted in the form of zero-order Takagi-Sugeno fuzzy IF-THEN rules.

Artificial intelligence in hematology.

PubMed

Zini, Gina

2005-10-01

Artificial intelligence (AI) is a computer based science which aims to simulate human brain faculties using a computational system. A brief history of this new science goes from the creation of the first artificial neuron in 1943 to the first artificial neural network application to genetic algorithms. The potential for a similar technology in medicine has immediately been identified by scientists and researchers. The possibility to store and process all medical knowledge has made this technology very attractive to assist or even surpass clinicians in reaching a diagnosis. Applications of AI in medicine include devices applied to clinical diagnosis in neurology and cardiopulmonary diseases, as well as the use of expert or knowledge-based systems in routine clinical use for diagnosis, therapeutic management and for prognostic evaluation. Biological applications include genome sequencing or DNA gene expression microarrays, modeling gene networks, analysis and clustering of gene expression data, pattern recognition in DNA and proteins, protein structure prediction. In the field of hematology the first devices based on AI have been applied to the routine laboratory data management. New tools concern the differential diagnosis in specific diseases such as anemias, thalassemias and leukemias, based on neural networks trained with data from peripheral blood analysis. A revolution in cancer diagnosis, including the diagnosis of hematological malignancies, has been the introduction of the first microarray based and bioinformatic approach for molecular diagnosis: a systematic approach based on the monitoring of simultaneous expression of thousands of genes using DNA microarray, independently of previous biological knowledge, analysed using AI devices. Using gene profiling, the traditional diagnostic pathways move from clinical to molecular based diagnostic systems.

Communication Policies in Knowledge Networks

NASA Astrophysics Data System (ADS)

Ioannidis, Evangelos; Varsakelis, Nikos; Antoniou, Ioannis

2018-02-01

Faster knowledge attainment within organizations leads to improved innovation, and therefore competitive advantage. Interventions on the organizational network may be risky or costly or time-demanding. We investigate several communication policies in knowledge networks, which reduce the knowledge attainment time without interventions. We examine the resulting knowledge dynamics for real organizational networks, as well as for artificial networks. More specifically, we investigate the dependence of knowledge dynamics on: (1) the Selection Rule of agents for knowledge acquisition, and (2) the Order of implementation of "Selection" and "Filtering". Significant decrease of the knowledge attainment time (up to -74%) can be achieved by: (1) selecting agents of both high knowledge level and high knowledge transfer efficiency, and (2) implementing "Selection" after "Filtering" in contrast to the converse, implicitly assumed, conventional prioritization. The Non-Commutativity of "Selection" and "Filtering", reveals a Non-Boolean Logic of the Network Operations. The results demonstrate that significant improvement of knowledge dynamics can be achieved by implementing "fruitful" communication policies, by raising the awareness of agents, without any intervention on the network structure.

Improvement of logistics education from the point of view environmental management

NASA Astrophysics Data System (ADS)

Bányai, Á.

2009-04-01

The paper briefly presents the influence of environmental management on the improvement of the logistics education and research structure of the Department of Materials Handling and Logistics at the University of Miskolc, Hungary. The logistics, as an integrated science offers a very good possibility to demonstrate the effect of new innovative knowledge on the migration of the priorities of education and research of sciences. The importance of logistics in the field of recycling (or in wider sense in the field of environmental management) can be justified by the high proportion of logistic costs (as investment and operation costs) and these costs show that optimum logistic solutions are able to decrease the financial outcomes and lead to the establishment of a profitable system. Technological change constantly creates new demands on both education and research. The most important objective of the department is to create a unique logistics education in the country. For this reason the department offered up-to-date integrated knowledge at all level: undergraduate, master degree and PhD education. The integration of logistics means traditionally the joint use of technology of material handling, method of material flow, technology method of traffic, information technology, management sciences, production technology, marketing, market research, technology of services, mathematics and optimization, communication technology, system engineering, electronics and automation, mechatronics [1, 3]. The education and research portfolio of the department followed this tradition till 1993. The new lectures in the field of sustainability (logistics of recycling, logistics of quality management and recycling, closed loop economy, EU logistics or global logistics) became more and more important in the logistics education. The results of fast developments in closed loop economy, recycling, waste management, environmental protection are more and more used in the industry and this effected a revolutionary change in the education and research structure of logistics [2]. The European Community policy in the environment sectors aims at a high level of protection. Four principles were defined: the precautionary principle, the principle that preventive action should be taken, that environmental damages should as a priority be rectified at source and that the polluter should pay. All of these four principles have a very strong logistics background, especially in the field of import/export operations, traffic/transportation, inventory control, materials handling, fleet operations, customer service, supply chain management, distribution, strategic planning, warehousing, information systems of logistics, purchasing. These facts effect the development of different topics of logistics in each field of the education of the department: collection logistics of used products (especially WEEE), optimization of collection systems, design and control of disassembly systems, distribution of fractions of disassembled used products, design and control of recycling parks, possibilities of virtual networks in the field of recycling logistics, integration of logistics, recycling and total quality management, identification systems and recycling, etc. Within the framework of different supports our department has the opportunity to take part in European networks and research projects in the field of sustainability, environmental protection, recycling and closed loop economy. One of the biggest networks was developed within the framework of a Brite-Euram project entitled ‘Closing the loop from the product design to the end of life technologies'. The importance of logistics is certified by the fact, that this network defined the milestones of the improvement of an economically beneficial closed loop economy as quality aspects, communication and marketing, logistics and qualification. Within the frame of this project the logistics focused on the improvement of technologies (disassembly, reuse, refurbishment, remanufacturing and recycling), collection systems, and development of the concept for collection logistics and pre-disassembly, market survey in waste management. The Regional Knowledge Centre of Mechatronics and Logistics Systems was established in 2005. The overall objective of Knowledge Centre is to develop knowledge-intensive mechatronics and logistics systems in the leading edge of the world and to integrate the results in the economy and society through utilising the knowledge. The realisation of the objective requires the establishment and operation of a networking system of relations between those involved in sciences, the economy and society. The knowledge centre is a "knowledge integration tool" of the university in the field of mechanical engineering, and plays an important part in the intensification of the integration of the philosophy of sustainability into the related sciences. The program of the knowledge centre is focused on three well definable strategic fields, which are the vertical elements of the model. These are the R&D programs: world of products, materials and technologies, and integrated systems. The programs cover the implementation of seven, internationally competitive, application-oriented part tasks. These seven part tasks and the sustainability are closely related. The realisation of the part tasks through networking offers considerable results and economical-ecological benefits, forth for the participants and the region. The activities include basic and applied research, experimental development, technology transfer, as well as education and training and preparing the new scientific generation. The horizontal elements of the model are given by the utilisation of knowledge that can be interpreted in different dimensions: technical/engineering, legal, sustainability, economic, and social. The program relies on the continuation of existing relations in networks, and its regional nature is embodied in the cooperation of the higher education institutes and companies of the three counties. This publication was supported by the National Office for Research and Technology within the frame of Pázmány Péter programme. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Office for Research and Technology. Literature: [1] J. Cselényi, Gy. Fischer, J. Murvai, B. Mang: Typical models of the recycling logistics of worn out product. Proceedings of XIV. International Conference on Material Handling and Warehousing in Belgrade, 1996. pp. 138-143. [2] R. Knoth, M. Hoffmann, B. Kopacek, P. Kopacek: A logistic concept to improve the re-usability of electric and electronic equipment, Electronics and the Environment, 2001. Proceedings of the 2001 IEEE International Symposium. 2001. pp. 115 - 118. [3] L. Cser, B. Mang: Cleaner Technologies and Recycling in Hungary. Proceedings of Int. Workshop on Environmental Conscious Manufacturing in Hertogenbosch, The Netherlands, 1997. pp. 48-56.

Developing Visualization Techniques for Semantics-based Information Networks

NASA Technical Reports Server (NTRS)

Keller, Richard M.; Hall, David R.

2003-01-01

Information systems incorporating complex network structured information spaces with a semantic underpinning - such as hypermedia networks, semantic networks, topic maps, and concept maps - are being deployed to solve some of NASA s critical information management problems. This paper describes some of the human interaction and navigation problems associated with complex semantic information spaces and describes a set of new visual interface approaches to address these problems. A key strategy is to leverage semantic knowledge represented within these information spaces to construct abstractions and views that will be meaningful to the human user. Human-computer interaction methodologies will guide the development and evaluation of these approaches, which will benefit deployed NASA systems and also apply to information systems based on the emerging Semantic Web.

Intelligent deflection routing in buffer-less networks.

PubMed

Haeri, Soroush; Trajković, Ljiljana

2015-02-01

Deflection routing is employed to ameliorate packet loss caused by contention in buffer-less architectures such as optical burst-switched networks. The main goal of deflection routing is to successfully deflect a packet based only on a limited knowledge that network nodes possess about their environment. In this paper, we present a framework that introduces intelligence to deflection routing (iDef). iDef decouples the design of the signaling infrastructure from the underlying learning algorithm. It consists of a signaling and a decision-making module. Signaling module implements a feedback management protocol while the decision-making module implements a reinforcement learning algorithm. We also propose several learning-based deflection routing protocols, implement them in iDef using the ns-3 network simulator, and compare their performance.

Mining the management literature for insights into implementing evidence-based change in healthcare.

PubMed

Harlos, Karen; Tetroe, Jacqueline; Graham, Ian D; Bird, Madeleine; Robinson, Nicole

2012-08-01

We synthesized the management and health literatures for insights into implementing evidence-based change in healthcare drawn from industry-specific data. Because change principles based on evidence often fail to be translated into organizational practice or policy, we sought studies at the nexus of organizational change and knowledge translation. We reviewed five top management journals to identify an initial pool of 3,091 studies, which yielded a final sample of 100 studies. Data were abstracted, verified by the original authors and revised before entry into a database. We employed a systematic narrative synthesis approach using words and text to distill data and explain relationships. We categorized studies by varying levels of relevance for knowledge translation as (1) primary, direct; (2) intermediate; and (3) secondary, indirect. We also identified recurring categories of change-related organizational factors. The current analysis examines these factors in studies of primary relevance to knowledge translation, which we also coded for intervention readiness to reflect how readily change can be implemented. Preliminary Results centred on five change-related categories: Tailoring the Intervention Message; Institutional Links/Social Networks; Training; Quality of Work Relationships; and Fit to Organization. In particular, networks across institutional and individual levels appeared as prominent pathways for changing healthcare organizations. Power dynamics, positive social relations and team structures also played key roles in implementing change and translating it into practice. We analyzed journals in which first authors of these studies typically publish, and found evidence that management and health sciences remain divided. Bridging these disciplines through research syntheses promises a wealth of evidence and insights, well worth mining in the search for change that works in healthcare transformation. Copyright © 2012 Longwoods Publishing.

Mining the Management Literature for Insights into Implementing Evidence-Based Change in Healthcare

PubMed Central

Harlos, Karen; Tetroe, Jacqueline; Graham, Ian D.; Bird, Madeleine; Robinson, Nicole

2012-01-01

Objective: We synthesized the management and health literatures for insights into implementing evidence-based change in healthcare drawn from industry-specific data. Because change principles based on evidence often fail to be translated into organizational practice or policy, we sought studies at the nexus of organizational change and knowledge translation. Methods: We reviewed five top management journals to identify an initial pool of 3,091 studies, which yielded a final sample of 100 studies. Data were abstracted, verified by the original authors and revised before entry into a database. We employed a systematic narrative synthesis approach using words and text to distill data and explain relationships. We categorized studies by varying levels of relevance for knowledge translation as (1) primary, direct; (2) intermediate; and (3) secondary, indirect. We also identified recurring categories of change-related organizational factors. The current analysis examines these factors in studies of primary relevance to knowledge translation, which we also coded for intervention readiness to reflect how readily change can be implemented. Preliminary Results and Conclusions: Results centred on five change-related categories: Tailoring the Intervention Message; Institutional Links/Social Networks; Training; Quality of Work Relationships; and Fit to Organization. In particular, networks across institutional and individual levels appeared as prominent pathways for changing healthcare organizations. Power dynamics, positive social relations and team structures also played key roles in implementing change and translating it into practice. We analyzed journals in which first authors of these studies typically publish, and found evidence that management and health sciences remain divided. Bridging these disciplines through research syntheses promises a wealth of evidence and insights, well worth mining in the search for change that works in healthcare transformation. PMID:23968602

The Age of the Network: Organizing Principles for the 21st Century.

ERIC Educational Resources Information Center

Lipnack, Jessica; Stamps, Jeffrey

A practical view is offered to leaders, managers, and teams of how to think about their companies and reinvent them without losing the value and knowledge embedded in their current organization. Organizations can break through challenges and recognize entirely new business opportunities through the creation of interlocking, boundary-crossing…

Knowledge that Acts: Evaluating the Outcomes of a Knowledge Brokering Intervention in Western Australia's Ningaloo Region

NASA Astrophysics Data System (ADS)

Chapman, Kelly; Boschetti, Fabio; Fulton, Elizabeth; Horwitz, Pierre; Jones, Tod; Scherrer, Pascal; Syme, Geoff

2017-11-01

Knowledge exchange involves a suite of strategies used to bridge the divides between research, policy and practice. The literature is increasingly focused on the notion that knowledge generated by research is more useful when there is significant interaction and knowledge sharing between researchers and research recipients (i.e., stakeholders). This is exemplified by increasing calls for the use of knowledge brokers to facilitate interaction and flow of information between scientists and stakeholder groups, and the integration of scientific and local knowledge. However, most of the environmental management literature focuses on explicit forms of knowledge, leaving unmeasured the tacit relational and reflective forms of knowledge that lead people to change their behaviour. In addition, despite the high transaction costs of knowledge brokering and related stakeholder engagement, there is little research on its effectiveness. We apply Park's Manag Learn 30(2), 141-157 (1999); Knowledge and Participatory Research, London: SAGE Publications (2006) tri-partite knowledge typology as a basis for evaluating the effectiveness of knowledge brokering in the context of a large multi-agency research programme in Australia's Ningaloo coastal region, and for testing the assumption that higher levels of interaction between scientists and stakeholders lead to improved knowledge exchange. While the knowledge brokering intervention substantively increased relational networks between scientists and stakeholders, it did not generate anticipated increases in stakeholder knowledge or research application, indicating that more prolonged stakeholder engagement was required, and/or that there was a flaw in the assumptions underpinning our conceptual framework.

Managing cows: an ethnography of breeding practices and uses of reproductive technology in contemporary dairy farming in Lombardy (Italy).

PubMed

Grasseni, Cristina

2007-06-01

The aim of this article is to contribute detailed ethnographic material to broaden the scope of what we mean by reproductive technology. Technology can be defined not only by a series of laboratory techniques (such as artificial insemination and embryo transfer) that are drafted into the daily management of the animal body, but also by a range of on-farm management strategies and working routines, as well as the cultural dispositions, social networks and tacit knowledge of the actors involved. RT is communicated to lay operators and disseminated amongst semi-professional figures such as breed experts, herd inspectors and technical consultants. The practical contexts in which reproductive knowledge is popularized and applied provide ample scope for local negotiations, resistance and conflict. Professional knowledge about breed-improvement is personalised and appropriated by operators and plays a role in power relations and the exercise of personal charisma as well as being specific to context, in particular the nuances of pre-existing relationships of trust, friendship, kinship or hierarchy. No wonder then that many ambivalences and compromises coexist in the practice of applying 'reproductive knowledge' to breed selection.

Marketing for health-care organizations: an introduction to network management.

PubMed

Boonekamp, L C

1994-01-01

The introduction of regulated competition in health care in several Western countries confronts health care providing organizations with changing relationships, with their environment and a need for knowledge and skills to analyse and improve their market position. Marketing receives more and more attention, as recent developments in this field of study provide a specific perspective on the relationships between an organization and external and internal parties. In doing so, a basis is offered for network management. A problem is that the existing marketing literature is not entirely appropriate for the specific characteristics of health care. After a description of the developments in marketing and its most recent key concepts, the applicability of these concepts in health-care organizations is discussed. States that for the health-care sector, dominated by complex networks of interorganizational relationships, the strategic marketing vision on relationships can be very useful. At the same time however, the operationalization of these concepts requires special attention and a distinct role of the management of health-care organizations, because of the characteristics of such organizations and the specific type of their service delivery.

Knowledge management practices in healthcare settings: a systematic review.

PubMed

Karamitri, Ioanna; Talias, Michael A; Bellali, Thalia

2017-01-01

Knowledge is an intangible asset in Organizations, and provides a comparative advantage to those who possess it. Hospitals are complex organizations with unique characteristics because of the heterogeneity of health professionals' orientation, the composite networking and the decision-making processes. A deeper understanding of knowledge management (KM) could streamline productivity and coordinate the use of resources more efficient. We conducted a systematic literature search of peer-reviewed papers that described key elements of KM using three databases (Medline, Cinahl and Health Source: nursing/academic edition) for a 10-year period (1/1/2004-25/11/2014). The included articles were subjected to qualitative content analysis. We retrieved 604 articles of which 20 articles were eligible for analysis. Most of the studies (n=13) used a qualitative methodology. The total sample size was 2155 participants. The key elements that arose were as follows: perceptions of KM, synthesis, dissemination, collaboration, means of KM and leadership. Moreover, this study identified barriers for KM implementation, like time restrictions and limited skills. Healthcare managers ought to cultivate a knowledge environment, operate as role models, provide the tools for KM and reward people who act as knowledge brokers. Opportunities for collaboration and knowledge sharing should be encouraged. Successful KM should be patient-centered to gain its maximum value. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

Microprocessor control and networking for the amps breadboard

NASA Technical Reports Server (NTRS)

Floyd, Stephen A.

1987-01-01

Future space missions will require more sophisticated power systems, implying higher costs and more extensive crew and ground support involvement. To decrease this human involvement, as well as to protect and most efficiently utilize this important resource, NASA has undertaken major efforts to promote progress in the design and development of autonomously managed power systems. Two areas being actively pursued are autonomous power system (APS) breadboards and knowledge-based expert system (KBES) applications. The former are viewed as a requirement for the timely development of the latter. Not only will they serve as final testbeds for the various KBES applications, but will play a major role in the knowledge engineering phase of their development. The current power system breadboard designs are of a distributed microprocessor nature. The distributed nature, plus the need to connect various external computer capabilities (i.e., conventional host computers and symbolic processors), places major emphasis on effective networking. The communications and networking technologies for the first power system breadboard/test facility are described.

Connectivism: A knowledge learning theory for the digital age?

PubMed

Goldie, John Gerard Scott

2016-10-01

The emergence of the internet, particularly Web 2.0 has provided access to the views and opinions of a wide range of individuals opening up opportunities for new forms of communication and knowledge formation. Previous ways of navigating and filtering available information are likely to prove ineffective in these new contexts. Connectivism is one of the most prominent of the network learning theories which have been developed for e-learning environments. It is beginning to be recognized by medical educators. This article aims to examine connectivism and its potential application. The conceptual framework and application of connectivism are presented along with an outline of the main criticisms. Its potential application in medical education is then considered. While connectivism provides a useful lens through which teaching and learning using digital technologies can be better understood and managed, further development and testing is required. There is unlikely to be a single theory that will explain learning in technological enabled networks. Educators have an important role to play in online network learning.

Bayesian Networks Improve Causal Environmental Assessments for Evidence-Based Policy.

PubMed

Carriger, John F; Barron, Mace G; Newman, Michael C

2016-12-20

Rule-based weight of evidence approaches to ecological risk assessment may not account for uncertainties and generally lack probabilistic integration of lines of evidence. Bayesian networks allow causal inferences to be made from evidence by including causal knowledge about the problem, using this knowledge with probabilistic calculus to combine multiple lines of evidence, and minimizing biases in predicting or diagnosing causal relationships. Too often, sources of uncertainty in conventional weight of evidence approaches are ignored that can be accounted for with Bayesian networks. Specifying and propagating uncertainties improve the ability of models to incorporate strength of the evidence in the risk management phase of an assessment. Probabilistic inference from a Bayesian network allows evaluation of changes in uncertainty for variables from the evidence. The network structure and probabilistic framework of a Bayesian approach provide advantages over qualitative approaches in weight of evidence for capturing the impacts of multiple sources of quantifiable uncertainty on predictions of ecological risk. Bayesian networks can facilitate the development of evidence-based policy under conditions of uncertainty by incorporating analytical inaccuracies or the implications of imperfect information, structuring and communicating causal issues through qualitative directed graph formulations, and quantitatively comparing the causal power of multiple stressors on valued ecological resources. These aspects are demonstrated through hypothetical problem scenarios that explore some major benefits of using Bayesian networks for reasoning and making inferences in evidence-based policy.

Data Extraction and Management in Networks of Observational Health Care Databases for Scientific Research: A Comparison of EU-ADR, OMOP, Mini-Sentinel and MATRICE Strategies

PubMed Central

Gini, Rosa; Schuemie, Martijn; Brown, Jeffrey; Ryan, Patrick; Vacchi, Edoardo; Coppola, Massimo; Cazzola, Walter; Coloma, Preciosa; Berni, Roberto; Diallo, Gayo; Oliveira, José Luis; Avillach, Paul; Trifirò, Gianluca; Rijnbeek, Peter; Bellentani, Mariadonata; van Der Lei, Johan; Klazinga, Niek; Sturkenboom, Miriam

2016-01-01

Introduction: We see increased use of existing observational data in order to achieve fast and transparent production of empirical evidence in health care research. Multiple databases are often used to increase power, to assess rare exposures or outcomes, or to study diverse populations. For privacy and sociological reasons, original data on individual subjects can’t be shared, requiring a distributed network approach where data processing is performed prior to data sharing. Case Descriptions and Variation Among Sites: We created a conceptual framework distinguishing three steps in local data processing: (1) data reorganization into a data structure common across the network; (2) derivation of study variables not present in original data; and (3) application of study design to transform longitudinal data into aggregated data sets for statistical analysis. We applied this framework to four case studies to identify similarities and differences in the United States and Europe: Exploring and Understanding Adverse Drug Reactions by Integrative Mining of Clinical Records and Biomedical Knowledge (EU-ADR), Observational Medical Outcomes Partnership (OMOP), the Food and Drug Administration’s (FDA’s) Mini-Sentinel, and the Italian network—the Integration of Content Management Information on the Territory of Patients with Complex Diseases or with Chronic Conditions (MATRICE). Findings: National networks (OMOP, Mini-Sentinel, MATRICE) all adopted shared procedures for local data reorganization. The multinational EU-ADR network needed locally defined procedures to reorganize its heterogeneous data into a common structure. Derivation of new data elements was centrally defined in all networks but the procedure was not shared in EU-ADR. Application of study design was a common and shared procedure in all the case studies. Computer procedures were embodied in different programming languages, including SAS, R, SQL, Java, and C++. Conclusion: Using our conceptual framework we found several areas that would benefit from research to identify optimal standards for production of empirical knowledge from existing databases.an opportunity to advance evidence-based care management. In addition, formalized CM outcomes assessment methodologies will enable us to compare CM effectiveness across health delivery settings. PMID:27014709

Progress in Open-World, Integrative, Collaborative Science Data Platforms (Invited)

NASA Astrophysics Data System (ADS)

Fox, P. A.

2013-12-01

As collaborative, or network science spreads into more Earth and space science fields, both the participants and their funders have expressed a very strong desire for highly functional data and information capabilities that are a) easy to use, b) integrated in a variety of ways, c) leverage prior investments and keep pace with rapid technical change, and d) are not expensive or time-consuming to build or maintain. In response, and based on our accumulated experience over the last decade and a maturing of several key technical approaches, we have adapted, extended, and integrated several open source applications and frameworks that handle major portions of functionality for these platforms. At minimum, these functions include: an object-type repository, collaboration tools, an ability to identify and manage all key entities in the platform, and an integrated portal to manage diverse content and applications, with varied access levels and privacy options. At a conceptual level, science networks (even small ones) deal with people, and many intellectual artifacts produced or consumed in research, organizational and/our outreach activities, as well as the relations among them. Increasingly these networks are modeled as knowledge networks, i.e. graphs with named and typed relations among the 'nodes'. Nodes can be people, organizations, datasets, events, presentations, publications, videos, meetings, reports, groups, and more. In this heterogeneous ecosystem, it is also important to use a set of common informatics approaches to co-design and co-evolve the needed science data platforms based on what real people want to use them for. In this contribution, we present our methods and results for information modeling, adapting, integrating and evolving a networked data science and information architecture based on several open source technologies (Drupal, VIVO, the Comprehensive Knowledge Archive Network; CKAN, and the Global Handle System; GHS). In particular we present both the instantiation of this data platform for the Deep Carbon Observatory, including key functional and non-functional attributes, how the smart mediation among the components is modeled and managed, and discuss its general applicability.

Plastic Surgery Response in Natural Disasters.

PubMed

Chung, Susan; Zimmerman, Amanda; Gaviria, Andres; Dayicioglu, Deniz

2015-06-01

Disasters cause untold damage and are often unpredictable; however, with proper preparation, these events can be better managed. The initial response has the greatest impact on the overall success of the relief effort. A well-trained multidisciplinary network of providers is necessary to ensure coordinated care for the victims of these mass casualty disasters. As members of this network of providers, plastic surgeons have the ability to efficiently address injuries sustained in mass casualty disasters and are a valuable member of the relief effort. The skill set of plastic surgeons includes techniques that can address injuries sustained in large-scale emergencies, such as the management of soft-tissue injury, tissue viability, facial fractures, and extremity salvage. An approach to disaster relief, the types of disasters encountered, the management of injuries related to mass casualty disasters, the role of plastic surgeons in the relief effort, and resource management are discussed. In order to improve preparedness in future mass casualty disasters, plastic surgeons should receive training during residency regarding the utilization of plastic surgery knowledge in the disaster setting.

Trust and Privacy Solutions Based on Holistic Service Requirements.

PubMed

Sánchez Alcón, José Antonio; López, Lourdes; Martínez, José-Fernán; Rubio Cifuentes, Gregorio

2015-12-24

The products and services designed for Smart Cities provide the necessary tools to improve the management of modern cities in a more efficient way. These tools need to gather citizens' information about their activity, preferences, habits, etc. opening up the possibility of tracking them. Thus, privacy and security policies must be developed in order to satisfy and manage the legislative heterogeneity surrounding the services provided and comply with the laws of the country where they are provided. This paper presents one of the possible solutions to manage this heterogeneity, bearing in mind these types of networks, such as Wireless Sensor Networks, have important resource limitations. A knowledge and ontology management system is proposed to facilitate the collaboration between the business, legal and technological areas. This will ease the implementation of adequate specific security and privacy policies for a given service. All these security and privacy policies are based on the information provided by the deployed platforms and by expert system processing.

Trust and Privacy Solutions Based on Holistic Service Requirements

PubMed Central

Sánchez Alcón, José Antonio; López, Lourdes; Martínez, José-Fernán; Rubio Cifuentes, Gregorio

2015-01-01

The products and services designed for Smart Cities provide the necessary tools to improve the management of modern cities in a more efficient way. These tools need to gather citizens’ information about their activity, preferences, habits, etc. opening up the possibility of tracking them. Thus, privacy and security policies must be developed in order to satisfy and manage the legislative heterogeneity surrounding the services provided and comply with the laws of the country where they are provided. This paper presents one of the possible solutions to manage this heterogeneity, bearing in mind these types of networks, such as Wireless Sensor Networks, have important resource limitations. A knowledge and ontology management system is proposed to facilitate the collaboration between the business, legal and technological areas. This will ease the implementation of adequate specific security and privacy policies for a given service. All these security and privacy policies are based on the information provided by the deployed platforms and by expert system processing. PMID:26712752

Biology-inspired Architecture for Situation Management

NASA Technical Reports Server (NTRS)

Jones, Kennie H.; Lodding, Kenneth N.; Olariu, Stephan; Wilson, Larry; Xin, Chunsheng

2006-01-01

Situation Management is a rapidly developing science combining new techniques for data collection with advanced methods of data fusion to facilitate the process leading to correct decisions prescribing action. Current research focuses on reducing increasing amounts of diverse data to knowledge used by decision makers and on reducing time between observations, decisions and actions. No new technology is more promising for increasing the diversity and fidelity of observations than sensor networks. However, current research on sensor networks concentrates on a centralized network architecture. We believe this trend will not realize the full potential of situation management. We propose a new architecture modeled after biological ecosystems where motes are autonomous and intelligent, yet cooperate with local neighborhoods. Providing a layered approach, they sense and act independently when possible, and cooperate with neighborhoods when necessary. The combination of their local actions results in global effects. While situation management research is currently dominated by military applications, advances envisioned for industrial and business applications have similar requirements. NASA has requirements for intelligent and autonomous systems in future missions that can benefit from advances in situation management. We describe requirements for the Integrated Vehicle Health Management program where our biology-inspired architecture provides a layered approach and decisions can be made at the proper level to improve safety, reduce costs, and improve efficiency in making diagnostic and prognostic assessments of the structural integrity, aerodynamic characteristics, and operation of aircraft.

Value Encounters - Modeling and Analyzing Co-creation of Value

NASA Astrophysics Data System (ADS)

Weigand, Hans

Recent marketing and management literature has introduced the concept of co-creation of value. Current value modeling approaches such as e3-value focus on the exchange of value rather than co-creation. In this paper, an extension to e3-value is proposed in the form of a “value encounter”. Value encounters are defined as interaction spaces where a group of actors meet and derive value by each one bringing in some of its own resources. They can be analyzed from multiple strategic perspectives, including knowledge management, social network management and operational management. Value encounter modeling can be instrumental in the context of service analysis and design.

Ecosystem services provided by agroecosystems: a qualitative and quantitative assessment of this relationship in the Pampa region, Argentina.

PubMed

Rositano, Florencia; Ferraro, Diego Omar

2014-03-01

The development of an analytical framework relating agricultural conditions and ecosystem services (ES) provision could be very useful for developing land-use systems which sustain natural resources for future use. According to this, a conceptual network was developed, based on literature review and expert knowledge, about the functional relationships between agricultural management and ES provision in the Pampa region (Argentina). We selected eight ES to develop this conceptual network: (1) carbon (C) balance, (2) nitrogen (N) balance, (3) groundwater contamination control, (4) soil water balance, (5) soil structural maintenance, (6) N2O emission control, (7) regulation of biotic adversities, and (8) biodiversity maintenance. This conceptual network revealed a high degree of interdependence among ES provided by Pampean agroecosystems, finding two trade-offs, and two synergies among them. Then, we analyzed the conceptual network structure, and found that both environmental and management variables influenced ES provision. Finally, we selected four ES to parameterize and quantify along 10 growing seasons (2000/2001-2009/2010) through a probabilistic methodology called Bayesian Networks. Only N balance was negatively impacted by agricultural management; while C balance, groundwater contamination control, and N2O emission control were not. Outcomes of our work emphasize the idea that qualitative and quantitative methodologies should be implemented together to assess ES provision in Pampean agroecosystems, as well as in other agricultural systems.

Downlink power distributions for 2G and 3G mobile communication networks.

PubMed

Colombi, Davide; Thors, Björn; Persson, Tomas; Wirén, Niklas; Larsson, Lars-Eric; Jonsson, Mikael; Törnevik, Christer

2013-12-01

Knowledge of realistic power levels is key when conducting accurate EMF exposure assessments. In this study, downlink output power distributions for radio base stations in 2G and 3G mobile communication networks have been assessed. The distributions were obtained from network measurement data collected from the Operations Support System, which normally is used for network monitoring and management. Significant amounts of data were gathered simultaneously for large sets of radio base stations covering wide geographical areas and different environments. The method was validated with in situ measurements. For the 3G network, the 90th percentile of the averaged output power during high traffic hours was found to be 43 % of the maximum available power. The corresponding number for 2G, with two or more transceivers installed, was 65 % or below.

Patent citation network in nanotechnology (1976-2004)

NASA Astrophysics Data System (ADS)

Li, Xin; Chen, Hsinchun; Huang, Zan; Roco, Mihail C.

2007-06-01

The patent citation networks are described using critical node, core network, and network topological analysis. The main objective is understanding of the knowledge transfer processes between technical fields, institutions and countries. This includes identifying key influential players and subfields, the knowledge transfer patterns among them, and the overall knowledge transfer efficiency. The proposed framework is applied to the field of nanoscale science and engineering (NSE), including the citation networks of patent documents, submitting institutions, technology fields, and countries. The NSE patents were identified by keywords "full-text" searching of patents at the United States Patent and Trademark Office (USPTO). The analysis shows that the United States is the most important citation center in NSE research. The institution citation network illustrates a more efficient knowledge transfer between institutions than a random network. The country citation network displays a knowledge transfer capability as efficient as a random network. The technology field citation network and the patent document citation network exhibit a␣less efficient knowledge diffusion capability than a random network. All four citation networks show a tendency to form local citation clusters.

Day-to-day management of EU projects: Implementation of a local manager network to secure knowledge transfer

NASA Astrophysics Data System (ADS)

Hoffmann, Friederike; Meyer, Stefanie; de Vareilles, Mahaut

2017-04-01

In the past years there has been a strong push in Norway for increasing participation in the EU Framework Programmes for Research and Innovation. EU projects coordinated by the University of Bergen (UiB) usually receive management support from the central administration (mostly financial) in collaboration with a full- or part-time scientific project manager working on a fixed-term contract at the same institute as the project's principal scientist. With an increasing amount of granted EU projects, the number of scientific project managers employed across the whole university has also increased, and a need for coordination and professionalization of this service became obvious. Until recently, UiB had no unified structures and routines for training of newly recruited project managers, or for archiving and transferring routines and skills after the end of the project and the manager's employment contract. To overcome this administrative knowledge gap, the "Forum for scientific EU project managers at UiB" was founded in spring 2016 as an informal communication platform. Its purpose is to bring together current and previous scientific EU project managers from different disciplines to share their experiences. The main aim of the forum is to transfer and improve knowledge, skills and routines on effective management of EU funded projects, but also to function as a discussion forum where issues arising from handling international consortia can be reviewed. The group meets monthly and discusses current challenges from on-going EU projects as well as routines for specific project operation tasks. These routines are archived in an online best-practise guide which the group currently develops. The regular personal meetings are supplemented with an intense communication via a group mailing list and several individual mail- and phone-meetings. Since lessons learned during project implementation may improve future proposals, UiB research advisors for proposal support frequently interact with the members of the forum. The forum is also used to spread relevant information received from other sources. We already realize that the forum and its products lead to increased competence of scientific EU project managers and research advisors at UiB. To further harvest these synergy effects, we aim to increase our interaction with similar groups, networks, and online platforms in and beyond Europe.

Integrating knowledge and control into hypermedia-based training environments: Experiments with HyperCLIPS

NASA Technical Reports Server (NTRS)

Hill, Randall W., Jr.

1990-01-01

The issues of knowledge representation and control in hypermedia-based training environments are discussed. The main objective is to integrate the flexible presentation capability of hypermedia with a knowledge-based approach to lesson discourse management. The instructional goals and their associated concepts are represented in a knowledge representation structure called a 'concept network'. Its functional usages are many: it is used to control the navigation through a presentation space, generate tests for student evaluation, and model the student. This architecture was implemented in HyperCLIPS, a hybrid system that creates a bridge between HyperCard, a popular hypertext-like system used for building user interfaces to data bases and other applications, and CLIPS, a highly portable government-owned expert system shell.

Building customer capital through knowledge management processes in the health care context.

PubMed

Liu, Sandra S; Lin, Carol Yuh-Yun

2007-01-01

Customer capital is a value generated and an asset developed from customer relationships. Successfully managing these relationships is enhanced by knowledge management (KM) infrastructure that captures and transfers customer-related knowledge. The execution of such a system relies on the vision and determination of the top management team (TMT). The health care industry in today's knowledge economy encounters similar challenges of consumerism as its business sector. Developing customer capital is critical for hospitals to remain competitive in the market. This study aims to provide taxonomy for cultivating market-based organizational learning that leads to building of customer capital and attaining desirable financial performance in health care. With the advancement of technology, the KM system plays an important moderating role in the entire process. The customer capital issue has not been fully explored either in the business or the health care industry. The exploratory nature of such a pursuit calls for a qualitative approach. This study examines the proposed taxonomy with the case hospital. The lessons learned also are reflected with three US-based health networks. The TMT incorporated the knowledge process of conceptualization and transformation in their organizational mission. The market-oriented learning approach promoted by TMT helps with the accumulation and sharing of knowledge that prepares the hospital for the dynamics in the marketplace. Their key knowledge advancement relies on both the professional arena and the feedback of customers. The institutionalization of the KM system and organizational culture expands the hospital's customer capital. The implication is twofold: (1) the TMT is imperative for the success of building customer capital through KM process; and (2) the team effort should be enhanced with a learning culture and sharing spirit, in particular, active nurse participation in decision making and frontline staff's role in providing a delightfully surprising patient experience.

Creating Common Space in Humanitarian Assistance and Disaster Relief: Best Practices for the Operational Commander to Ensure Unity of Effort between Military and Non-Military Organizations

DTIC Science & Technology

2011-05-04

Linton, Walker Hardy, Vinay Gupta , and Daniel Noon. “STAR–TIDES and Starfish Networks: Supporting Stressed Populations with Distributed Talent...42 Jatinder Gupta , Sushil K. Sharma, and Jeffery Hsu, “An Overview of Knowledge Management,” in Creating Knowledge Based Organizations, ed...Jatinder N. D. Gupta et al. (Hershey, PA: Idea Group Publishing, 2004), 3-5. 43 Ibid, 15. 44 Ibid, 16. 45 Dwyer, Wells, “STAR-TIDES: Haiti earthquake

The virtual library: Coming of age

NASA Technical Reports Server (NTRS)

Hunter, Judy F.; Cotter, Gladys A.

1994-01-01

With the high speed networking capabilities, multiple media options, and massive amounts of information that exist in electronic format today, the concept of a 'virtual' library or 'library without walls' is becoming viable. In virtual library environment, the information processed goes beyond the traditional definition of documents to include the results of scientific and technical research and development (reports, software, data) recorded in any format or media: electronic, audio, video, or scanned images. Network access to information must include tools to help locate information sources and navigate the networks to connect to the sources, as well as methods to extract the relevant information. Graphical User Interfaces (GUI's) that are intuitive and navigational tools such as Intelligent Gateway Processors (IGP) will provide users with seamless and transparent use of high speed networks to access, organize, and manage information. Traditional libraries will become points of electronic access to information on multiple medias. The emphasis will be towards unique collections of information at each library rather than entire collections at every library. It is no longer a question of whether there is enough information available; it is more a question of how to manage the vast volumes of information. The future equation will involve being able to organize knowledge, manage information, and provide access at the point of origin.

Faculty Recommendations for Web Tools: Implications for Course Management Systems

ERIC Educational Resources Information Center

Oliver, Kevin; Moore, John

2008-01-01

A gap analysis of web tools in Engineering was undertaken as one part of the Digital Library Network for Engineering and Technology (DLNET) grant funded by NSF (DUE-0085849). DLNET represents a Web portal and an online review process to archive quality knowledge objects in Engineering and Technology disciplines. The gap analysis coincided with the…

Historical Development and Key Issues of Data Management Plan Requirements for National Science Foundation Grants: A Review

ERIC Educational Resources Information Center

Pasek, Judith E.

2017-01-01

Sharing scientific research data has become increasingly important for knowledge advancement in today's networked, digital world. This article describes the evolution of access to United States government information in relation to scientific research funded by federal grants. It analyzes the data sharing policy of the National Science Foundation,…

The Sexual Advantage of Looking, Smelling, and Tasting Good: The Metabolic Network that Produces Signals for Pollinators.

PubMed

Borghi, Monica; Fernie, Alisdair R; Schiestl, Florian P; Bouwmeester, Harro J

2017-04-01

A striking feature of the angiosperms that use animals as pollen carriers to sexually reproduce is the great diversity of their flowers with regard to morphology and traits such as color, odor, and nectar. These traits are underpinned by the synthesis of secondary metabolites such as pigments and volatiles, as well as carbohydrates and amino acids, which are used by plants to lure and reward animal pollinators. We review here the knowledge of the metabolic network that supports the biosynthesis of these compounds and the behavioral responses that these molecules elicit in the animal pollinators. Such knowledge provides us with a deeper insight into the ecology and evolution of plant-pollinator interactions, and should help us to better manage these ecologically essential interactions in agricultural ecosystems. Copyright © 2016 Elsevier Ltd. All rights reserved.

LeaRN: A Collaborative Learning-Research Network for a WLCG Tier-3 Centre

NASA Astrophysics Data System (ADS)

Pérez Calle, Elio

2011-12-01

The Department of Modern Physics of the University of Science and Technology of China is hosting a Tier-3 centre for the ATLAS experiment. A interdisciplinary team of researchers, engineers and students are devoted to the task of receiving, storing and analysing the scientific data produced by the LHC. In order to achieve the highest performance and to develop a knowledge base shared by all members of the team, the research activities and their coordination are being supported by an array of computing systems. These systems have been designed to foster communication, collaboration and coordination among the members of the team, both face-to-face and remotely, and both in synchronous and asynchronous ways. The result is a collaborative learning-research network whose main objectives are awareness (to get shared knowledge about other's activities and therefore obtain synergies), articulation (to allow a project to be divided, work units to be assigned and then reintegrated) and adaptation (to adapt information technologies to the needs of the group). The main technologies involved are Communication Tools such as web publishing, revision control and wikis, Conferencing Tools such as forums, instant messaging and video conferencing and Coordination Tools, such as time management, project management and social networks. The software toolkit has been deployed by the members of the team and it has been based on free and open source software.

Experimenting with ecosystem interaction networks in search of threshold potentials in real-world marine ecosystems.

PubMed

Thrush, Simon F; Hewitt, Judi E; Parkes, Samantha; Lohrer, Andrew M; Pilditch, Conrad; Woodin, Sarah A; Wethey, David S; Chiantore, Mariachiara; Asnaghi, Valentina; De Juan, Silvia; Kraan, Casper; Rodil, Ivan; Savage, Candida; Van Colen, Carl

2014-06-01

Thresholds profoundly affect our understanding and management of ecosystem dynamics, but we have yet to develop practical techniques to assess the risk that thresholds will be crossed. Combining ecological knowledge of critical system interdependencies with a large-scale experiment, we tested for breaks in the ecosystem interaction network to identify threshold potential in real-world ecosystem dynamics. Our experiment with the bivalves Macomona liliana and Austrovenus stutchburyi on marine sandflats in New Zealand demonstrated that reductions in incident sunlight changed the interaction network between sediment biogeochemical fluxes, productivity, and macrofauna. By demonstrating loss of positive feedbacks and changes in the architecture of the network, we provide mechanistic evidence that stressors lead to break points in dynamics, which theory predicts predispose a system to a critical transition.

Project Final Report: Ubiquitous Computing and Monitoring System (UCoMS) for Discovery and Management of Energy Resources

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tzeng, Nian-Feng; White, Christopher D.; Moreman, Douglas

2012-07-14

The UCoMS research cluster has spearheaded three research areas since August 2004, including wireless and sensor networks, Grid computing, and petroleum applications. The primary goals of UCoMS research are three-fold: (1) creating new knowledge to push forward the technology forefronts on pertinent research on the computing and monitoring aspects of energy resource management, (2) developing and disseminating software codes and toolkits for the research community and the public, and (3) establishing system prototypes and testbeds for evaluating innovative techniques and methods. Substantial progress and diverse accomplishment have been made by research investigators in their respective areas of expertise cooperatively onmore » such topics as sensors and sensor networks, wireless communication and systems, computational Grids, particularly relevant to petroleum applications.« less

Training the rivers and exploring the coasts. Knowledge evolution in the Netherlands in two engineering fields between 1800 and 1940

NASA Astrophysics Data System (ADS)

Toussaint, Bert

In this paper, the author wants to explore the knowledge development in two crucial fields, river management and coast management in the 19th century and first decades of the 20th century. Were there similar characteristics in this development? Which types of knowledge can be distinguished? Who were the principal actors in these processes? Did the knowledge evolution have a Dutch stamp or a rather international flavour? To structure the analysis, the author uses the concept of technology regime, a set of technical rules which shapes the know-how of engineers, their design rules and research processes. The analysis shows that the knowledge development of river management and coastal management followed different evolution paths between 1800 and 1940. In the field of river management, a substantial amount of mathematical and physical theories had been gradually developed since the end of the 17th century. After 1850, the regularization approach met gradually a widespread support. Empirical data, design rules, theoretical knowledge and engineering pivoted around the regularization approach, and a technology regime around this approach emerged. The regularization regime further developed in the 20th century, and handbooks were increasingly shaped by mathematical and physical reasoning and formulas. On the other hand, coastal management was until the 1880s a rather marginal activity. Coastal engineering was an extremely complex and multidimensional field of knowledge which no engineer was able to grasp. The foundation of a Dutch weather institute was a first important step towards a more theoretical approach. The Zuiderzee works (starting in 1925) gave probably the most important stimuli to scientific coastal research. It was also a main factor in setting up scientific institutes by Rijkswaterstaat. So from the 1920s, Rijkswaterstaat became a major producer of scientific knowledge, not only in tidal modelling but also in coastal research. Due to a multidisciplinary knowledge network, coastal research transformed from a marginal to a first-rank scientific field, and this transformation enabled Rijkswaterstaat to set a much higher level of ambition in coastal management. The 1953 flood and the Deltaworks marked a new era. New design rules for sea dykes and river levees, based on a revolutionary statistical risk approach were determined, and design rules for the Deltaworks estuary closures were developed, being enabled by the development of hydraulic research.

Building a virtual network in a community health research training program.

PubMed

Lau, F; Hayward, R

2000-01-01

To describe the experiences, lessons, and implications of building a virtual network as part of a two-year community health research training program in a Canadian province. An action research field study in which 25 health professionals from 17 health regions participated in a seven-week training course on health policy, management, economics, research methods, data analysis, and computer technology. The participants then returned to their regions to apply the knowledge in different community health research projects. Ongoing faculty consultations and support were provided as needed. Each participant was given a notebook computer with the necessary software, Internet access, and technical support for two years, to access information resources, engage in group problem solving, share ideas and knowledge, and collaborate on projects. Data collected over two years consisted of program documents, records of interviews with participants and staff, meeting notes, computer usage statistics, automated online surveys, computer conference postings, program Web site, and course feedback. The analysis consisted of detailed review and comparison of the data from different sources. NUD*IST was then used to validate earlier study findings. The ten key lessons are that role clarity, technology vision, implementation staging, protected time, just-in-time training, ongoing facilitation, work integration, participatory design, relationship building, and the demonstration of results are essential ingredients for building a successful network. This study provides a descriptive model of the processes involved in developing, in the community health setting, virtual networks that can be used as the basis for future research and as a practical guide for managers.

Mapping the temporary and perennial character of whole river networks

NASA Astrophysics Data System (ADS)

González-Ferreras, A. M.; Barquín, J.

2017-08-01

Knowledge of the spatial distribution of temporary and perennial river channels in a whole catchment is important for effective integrated basin management and river biodiversity conservation. However, this information is usually not available or is incomplete. In this study, we present a statistically based methodology to classify river segments from a whole river network (Deva-Cares catchment, Northern Spain) as temporary or perennial. This method is based on an a priori classification of a subset of river segments as temporary or perennial, using field surveys and aerial images, and then running Random Forest models to predict classification membership for the rest of the river network. The independent variables and the river network were derived following a computer-based geospatial simulation of riverine landscapes. The model results show high values of overall accuracy, sensitivity, and specificity for the evaluation of the fitted model to the training and testing data set (≥0.9). The most important independent variables were catchment area, area occupied by broadleaf forest, minimum monthly precipitation in August, and average catchment elevation. The final map shows 7525 temporary river segments (1012.5 km) and 3731 perennial river segments (662.5 km). A subsequent validation of the mapping results using River Habitat Survey data and expert knowledge supported the validity of the proposed maps. We conclude that the proposed methodology is a valid method for mapping the limits of flow permanence that could substantially increase our understanding of the spatial links between terrestrial and aquatic interfaces, improving the research, management, and conservation of river biodiversity and functioning.

Citizen Science to Support Community-based Flood Early Warning and Resilience Building

NASA Astrophysics Data System (ADS)

Paul, J. D.; Buytaert, W.; Allen, S.; Ballesteros-Cánovas, J. A.; Bhusal, J.; Cieslik, K.; Clark, J.; Dewulf, A.; Dhital, M. R.; Hannah, D. M.; Liu, W.; Nayaval, J. L.; Schiller, A.; Smith, P. J.; Stoffel, M.; Supper, R.

2017-12-01

In Disaster Risk Management, an emerging shift has been noted from broad-scale, top-down assessments towards more participatory, community-based, bottom-up approaches. Combined with technologies for robust and low-cost sensor networks, a citizen science approach has recently emerged as a promising direction in the provision of extensive, real-time information for flood early warning systems. Here we present the framework and initial results of a major new international project, Landslide EVO, aimed at increasing local resilience against hydrologically induced disasters in western Nepal by exploiting participatory approaches to knowledge generation and risk governance. We identify three major technological developments that strongly support our approach to flood early warning and resilience building in Nepal. First, distributed sensor networks, participatory monitoring, and citizen science hold great promise in complementing official monitoring networks and remote sensing by generating site-specific information with local buy-in, especially in data-scarce regions. Secondly, the emergence of open source, cloud-based risk analysis platforms supports the construction of a modular, distributed, and potentially decentralised data processing workflow. Finally, linking data analysis platforms to social computer networks and ICT (e.g. mobile phones, tablets) allows tailored interfaces and people-centred decision- and policy-support systems to be built. Our proposition is that maximum impact is created if end-users are involved not only in data collection, but also over the entire project life-cycle, including the analysis and provision of results. In this context, citizen science complements more traditional knowledge generation practices, and also enhances multi-directional information provision, risk management, early-warning systems and local resilience building.

Multimedia Workstations: Electronic Assistants for Health-Care Professionals.

PubMed

Degoulet, P; Jean, F-C; Safran, C

1996-01-01

The increasing costs of health care and the economic reality has produced an interesting paradox for the health professional to perform more clinical work with fewer support personnel. Moreover, an explosion of the knowledge-base that underlies sound clinical care not only makes effective time management critical, but also knowledge management compelling. A multimedia workstation is an electronic assistant for the busy health professional that can help with administrative tasks and give access to clinical information and knowledge networks. The multimedia nature of processed information reflects an evolution of medical technologies that involve more and more complex objects such as video sequences or digitized signals. Analysis of the 445 Medline-indexed publications for the January 1991 to December 1994 period, that included the word "workstation" either in their title or in their abstract, helps in refining objectives and challenges both for health professionals and decision makers. From an engineering perspective, development of a workstation requires the integration into the same environments of tools to localize, access, manipulate and communicate the required information. The long-term goal is to establish an easy access in a collaborative working environment that gives the end-user the feeling of a single virtual health enterprise, driven by an integrated computer system when the information system relies on a set of heterogeneous and geographically distributed components. Consequences in terms of migration from traditional client/server architectures to more client/network architectures are considered.

Social Network and Content Analysis of the North American Carbon Program as a Scientific Community of Practice

NASA Technical Reports Server (NTRS)

Brown, Molly E.; Ihli, Monica; Hendrick, Oscar; Delgado-Arias, Sabrina; Escobar, Vanessa M.; Griffith, Peter

2015-01-01

The North American Carbon Program (NACP) was formed to further the scientific understanding of sources, sinks, and stocks of carbon in Earth's environment. Carbon cycle science integrates multidisciplinary research, providing decision-support information for managing climate and carbon-related change across multiple sectors of society. This investigation uses the conceptual framework of com-munities of practice (CoP) to explore the role that the NACP has played in connecting researchers into a carbon cycle knowledge network, and in enabling them to conduct physical science that includes ideas from social science. A CoP describes the communities formed when people consistently engage in shared communication and activities toward a common passion or learning goal. We apply the CoP model by using keyword analysis of abstracts from scientific publications to analyze the research outputs of the NACP in terms of its knowledge domain. We also construct a co-authorship network from the publications of core NACP members, describe the structure and social pathways within the community. Results of the content analysis indicate that the NACP community of practice has substantially expanded its research on human and social impacts on the carbon cycle, contributing to a better understanding of how human and physical processes interact with one another. Results of the co-authorship social network analysis demonstrate that the NACP has formed a tightly connected community with many social pathways through which knowledge may flow, and that it has also expanded its network of institutions involved in carbon cycle research over the past seven years.

Academic Health Center Management of Chronic Diseases through Knowledge Networks: Project ECHO

PubMed Central

Arora, Sanjeev; Geppert, Cynthia M. A.; Kalishman, Summers; Dion, Denise; Pullara, Frank; Bjeletich, Barbara; Simpson, Gary; Alverson, Dale C.; Moore, Lori B.; Kuhl, Dave; Scaletti, Joseph V.

2013-01-01

The authors describe an innovative academic health center (AHC)-led program of health care delivery and clinical education for the management of complex, common, and chronic diseases in underserved areas, using hepatitis C virus (HCV) as a model. The program, based at the University of New Mexico School of Medicine, represents a paradigm shift in thinking and funding for the threefold mission of AHCs, moving from traditional fee-for-service models to public health funding of knowledge networks. This program, Project Extension for Community Healthcare Outcomes (ECHO), involves a partnership of academic medicine, public health offices, corrections departments, and rural community clinics dedicated to providing best practices and protocol-driven health care in rural areas. Telemedicine and Internet connections enable specialists in the program to comanage patients with complex diseases, using case-based knowledge networks and learning loops. Project ECHO partners (nurse practitioners, primary care physicians, physician assistants, and pharmacists) present HCV-positive patients during weekly two-hour telemedicine clinics using a standardized, case-based format that includes discussion of history, physical examination, test results, treatment complications, and psychiatric, medical, and substance abuse issues. In these case-based learning clinics, partners rapidly gain deep domain expertise in HCV as they collaborate with university specialists in hepatology, infectious disease, psychiatry, and substance abuse in comanaging their patients. Systematic monitoring of treatment outcomes is an integral aspect of the project. The authors believe this methodology will be generalizable to other complex and chronic conditions in a wide variety of underserved areas to improve disease outcomes, and it offers an opportunity for AHCs to enhance and expand their traditional mission of teaching, patient care, and research. PMID:17264693

Automated generation of patient-tailored electronic care pathways by translating computer-interpretable guidelines into hierarchical task networks.

PubMed

González-Ferrer, Arturo; ten Teije, Annette; Fdez-Olivares, Juan; Milian, Krystyna

2013-02-01

This paper describes a methodology which enables computer-aided support for the planning, visualization and execution of personalized patient treatments in a specific healthcare process, taking into account complex temporal constraints and the allocation of institutional resources. To this end, a translation from a time-annotated computer-interpretable guideline (CIG) model of a clinical protocol into a temporal hierarchical task network (HTN) planning domain is presented. The proposed method uses a knowledge-driven reasoning process to translate knowledge previously described in a CIG into a corresponding HTN Planning and Scheduling domain, taking advantage of HTNs known ability to (i) dynamically cope with temporal and resource constraints, and (ii) automatically generate customized plans. The proposed method, focusing on the representation of temporal knowledge and based on the identification of workflow and temporal patterns in a CIG, makes it possible to automatically generate time-annotated and resource-based care pathways tailored to the needs of any possible patient profile. The proposed translation is illustrated through a case study based on a 70 pages long clinical protocol to manage Hodgkin's disease, developed by the Spanish Society of Pediatric Oncology. We show that an HTN planning domain can be generated from the corresponding specification of the protocol in the Asbru language, providing a running example of this translation. Furthermore, the correctness of the translation is checked and also the management of ten different types of temporal patterns represented in the protocol. By interpreting the automatically generated domain with a state-of-art HTN planner, a time-annotated care pathway is automatically obtained, customized for the patient's and institutional needs. The generated care pathway can then be used by clinicians to plan and manage the patients long-term care. The described methodology makes it possible to automatically generate patient-tailored care pathways, leveraging an incremental knowledge-driven engineering process that starts from the expert knowledge of medical professionals. The presented approach makes the most of the strengths inherent in both CIG languages and HTN planning and scheduling techniques: for the former, knowledge acquisition and representation of the original clinical protocol, and for the latter, knowledge reasoning capabilities and an ability to deal with complex temporal and resource constraints. Moreover, the proposed approach provides immediate access to technologies such as business process management (BPM) tools, which are increasingly being used to support healthcare processes. Copyright © 2012 Elsevier B.V. All rights reserved.

Impact of Network Activity Levels on the Performance of Passive Network Service Dependency Discovery

DOE Office of Scientific and Technical Information (OSTI.GOV)

Carroll, Thomas E.; Chikkagoudar, Satish; Arthur-Durett, Kristine M.

Network services often do not operate alone, but instead, depend on other services distributed throughout a network to correctly function. If a service fails, is disrupted, or degraded, it is likely to impair other services. The web of dependencies can be surprisingly complex---especially within a large enterprise network---and evolve with time. Acquiring, maintaining, and understanding dependency knowledge is critical for many network management and cyber defense activities. While automation can improve situation awareness for network operators and cyber practitioners, poor detection accuracy reduces their confidence and can complicate their roles. In this paper we rigorously study the effects of networkmore » activity levels on the detection accuracy of passive network-based service dependency discovery methods. The accuracy of all except for one method was inversely proportional to network activity levels. Our proposed cross correlation method was particularly robust to the influence of network activity. The proposed experimental treatment will further advance a more scientific evaluation of methods and provide the ability to determine their operational boundaries.« less

Development of Knowledge Profiles for International eHealth eLearning Courses.

PubMed

Herzog, Juliane; Sauermann, Stefan; Mense, Alexander; Forjan, Mathias; Urbauer, Philipp

2015-01-01

Professionals working in the multidisciplinary field of eHealth vary in their educational background. However, knowledge in the areas of medicine, engineering and management is required to fulfil the tasks associated with eHealth sufficiently. Based on the results of an analysis of national and international educational offers a survey gathering user requirements for the development of knowledge profiles in eHealth was conducted (n=75) by professionals and students. During a workshop the first results were presented and discussed together with the network partners and the attendees. The resulting knowledge profiles contain knowledge areas of all three thematic content categories including fundamentals of medical terminology, standards and interoperability and usability as well as basics of all three content categories. The knowledge profiles are currently applied in a master's degree programme at the UAS Technikum Wien and will be developed further.

Assessment of health service delivery capacities, health providers' knowledge and practices related to type 2 diabetes care in Kinshasa primary healthcare network facilities, Democratic Republic of the Congo.

PubMed

Kapongo, Remy Y; Lulebo, Aimée M; Mafuta, Eric M; Mutombo, Paulin B; Dimbelolo, Jean Claude M; Bieleli, Isidore E

2015-01-22

Democratic Republic of the Congo (DRC) is experiencing an increase in the morbi-mortality related to Non Communicable Diseases (NCD). The reform of DRC health system, based on Health District model, is needed in order to tackle this public issue. This article used 2006 International Diabetes Federation (IDF)'s guidelines to assess the capacities of health facilities belonging to Kinshasa Primary Health Care Network (KPHCN) in terms of equipments, as well as the knowledge, and the practice of their health providers related to type 2 diabetes care. A multicentric cross-sectional study was carried in 18 Health Facilities (HF) of KPHCN in charge of the follow-up of diabetic patients. The presence of IDF recommended materials and equipment was checked and 28 health providers were interviewed about their theoretical knowledge about patients' management and therapeutic objectives during recommended visits. Chi square test or Fisher exact test was used to compare proportions and the Student t-test to compare means. The integration of NCD healthcare in the KPHC network is feasible. The majority of HF possessed IDF recommended materials except for the clinical practice guidelines, urinary test strips, and monofilament, available in only one, two and four HF, respectively. KPHCN referral facilities had required materials for biochemical analyses, the ECG and for the fundus oculi test. Patients' management is characterized by a lack of attention on the impairment of renal function during the first visits and a poor respect of recommended practices during quarterly and annual visits. A poor knowledge of the reduction of cardiovascular risk factors-related therapeutic objectives has been also reported. The capacities, knowledge, and practice of T2D care were poor among HF of KPHCN. The lack of equipment and training of healthcare professionals should be supplied even to those who are not medical doctors. Special attention must to be put on the clinical practice guidelines formulation and sensitization and on supervision.

Sociospatial Knowledge Networks: Appraising Community as Place.

ERIC Educational Resources Information Center

Skelly, Anne H.; Arcury, Thomas A.; Gesler, Wilbert M.; Cravey, Altha J.; Dougherty, Molly C.; Washburn, Sarah A.; Nash, Sally

2002-01-01

A new theory of geographical analysis--sociospatial knowledge networks--provides a framework for understanding the social and spatial locations of a community's health knowledge and beliefs. This theory is guiding an ethnographic study of health beliefs, knowledge, and knowledge networks in a diverse rural community at high risk for type-2…

An overview of developments and applications of oceanographic radar networks in Asia and Oceania countries

NASA Astrophysics Data System (ADS)

Fujii, Satoshi; Heron, Malcolm L.; Kim, Kuh; Lai, Jian-Wu; Lee, Sang-Ho; Wu, Xiangbai; Wu, Xiongbin; Wyatt, Lucy R.; Yang, Wen-Chang

2013-03-01

More than 110 radar stations are in operation at the present time in Asia and Oceania countries, which is nearly half of all the existing radar stations in the world, for purposes related to marine safety, oil spill response, tsunami warning, coastal zone management and understanding of ocean current dynamics, depending mainly on each country's coastal sea characteristics. This paper introduces the oceanographic radar networks of Australia, China, Japan, Korea and Taiwan, presented at the 1st Ocean Radar Conference for Asia (ORCA) held in May 2012, Seoul, Korea, to share information about the radar network developments and operations, knowledge and experiences of data management, and research activity and application of the radar-derived data of neighbouring countries. We hope this overview paper may contribute as the first step to promotion of regional collaborations in the radar observations and data usages and applications in order to efficiently monitor the coastal and marginal sea waters along the western Pacific Ocean periphery.

Overcoming the challenges of secure mobile applications for network-centric, data-sensitive applications

NASA Astrophysics Data System (ADS)

Farroha, Bassam; Farroha, Deborah

2012-05-01

Gaining the competitive advantage in today's aggressive environment requires our corporate leaders and Warfighters alike to be armed with up-to-date knowledge related to friendly and opposing forces. This knowledge has to be delivered in real-time between the core enterprise and tactical/mobile units at the edge. The type and sensitivity of data delivered will vary depending on users, threat level and current rules of dissemination. This paper will describe the mobile security management that basis access rights on positive identification of user, authenticating the user and the edge device. Next, Access Management is granted on a fine grain basis where each data element is tagged with meta-data that is crypto-bound to the data itself to ensure authenticity of contents and observance of data sensitivity.

Complex Dynamics in Information Sharing Networks

NASA Astrophysics Data System (ADS)

Cronin, Bruce

This study examines the roll-out of an electronic knowledge base in a medium-sized professional services firm over a six year period. The efficiency of such implementation is a key business problem in IT systems of this type. Data from usage logs provides the basis for analysis of the dynamic evolution of social networks around the depository during this time. The adoption pattern follows an "s-curve" and usage exhibits something of a power law distribution, both attributable to network effects, and network position is associated with organisational performance on a number of indicators. But periodicity in usage is evident and the usage distribution displays an exponential cut-off. Further analysis provides some evidence of mathematical complexity in the periodicity. Some implications of complex patterns in social network data for research and management are discussed. The study provides a case study demonstrating the utility of the broad methodological approach.

Creating knowledge structures in the pharmaceutical industry: the increasing significance of virtual organisation.

PubMed

Salazar, A; Howells, J

2000-01-01

This paper explores the specific trend and challenges facing the pharmaceutical industry regarding the exploitation of Internet e-commerce technology and virtual organisation to develop and maintain competitive advantage. There are two important facets of the current trend. One is the rapid development of a complex network of alliances between the established pharmaceutical companies and the specialised biotechnology company start-ups. The other is the rapid growth of internet e-commerce companies dedicated to developing specialised technological platforms for acquiring and selling genetic and biochemical knowledge. The underlying challenge is how big pharmaceutical companies can emulate some of the innovation processes of smaller biotechnology company start-ups, and how they can appropriate and applied new technological knowledge on the development of new drugs. Pharmaceutical companies in order to retain competitive advantage need to continuously monitor all aspects of knowledge management with regard to the R&D and manufacturing process (as well as customer management and marketing). Technological change and organisational restructuring should be aimed at boosting the capacity of large firms to innovate rapidly.

CI-KNOW: Cyberinfrastructure Knowledge Networks on the Web. A Social Network Enabled Recommender System for Locating Resources in Cyberinfrastructures

NASA Astrophysics Data System (ADS)

Green, H. D.; Contractor, N. S.; Yao, Y.

2006-12-01

A knowledge network is a multi-dimensional network created from the interactions and interconnections among the scientists, documents, data, analytic tools, and interactive collaboration spaces (like forums and wikis) associated with a collaborative environment. CI-KNOW is a suite of software tools that leverages automated data collection, social network theories, analysis techniques and algorithms to infer an individual's interests and expertise based on their interactions and activities within a knowledge network. The CI-KNOW recommender system mines the knowledge network associated with a scientific community's use of cyberinfrastructure tools and uses relational metadata to record connections among entities in the knowledge network. Recent developments in social network theories and methods provide the backbone for a modular system that creates recommendations from relational metadata. A network navigation portlet allows users to locate colleagues, documents, data or analytic tools in the knowledge network and to explore their networks through a visual, step-wise process. An internal auditing portlet offers administrators diagnostics to assess the growth and health of the entire knowledge network. The first instantiation of the prototype CI-KNOW system is part of the Environmental Cyberinfrastructure Demonstration project at the National Center for Supercomputing Applications, which supports the activities of hydrologic and environmental science communities (CLEANER and CUAHSI) under the umbrella of the WATERS network environmental observatory planning activities (http://cleaner.ncsa.uiuc.edu). This poster summarizes the key aspects of the CI-KNOW system, highlighting the key inputs, calculation mechanisms, and output modalities.

Knowledge representation and management: towards an integration of a semantic web in daily health practice.

PubMed

Griffon, N; Charlet, J; Darmoni, Sj

2013-01-01

To summarize the best papers in the field of Knowledge Representation and Management (KRM). A synopsis of the four selected articles for the IMIA Yearbook 2013 KRM section is provided, as well as highlights of current KRM trends, in particular, of the semantic web in daily health practice. The manual selection was performed in three stages: first a set of 3,106 articles, then a second set of 86 articles followed by a third set of 15 articles, and finally the last set of four chosen articles. Among the four selected articles (see Table 1), one focuses on knowledge engineering to prevent adverse drug events; the objective of the second is to propose mappings between clinical archetypes and SNOMED CT in the context of clinical practice; the third presents an ontology to create a question-answering system; the fourth describes a biomonitoring network based on semantic web technologies. These four articles clearly indicate that the health semantic web has become a part of daily practice of health professionals since 2012. In the review of the second set of 86 articles, the same topics included in the previous IMIA yearbook remain active research fields: Knowledge extraction, automatic indexing, information retrieval, natural language processing, management of health terminologies and ontologies.

What can management theories offer evidence-based practice? A comparative analysis of measurement tools for organisational context.

PubMed

French, Beverley; Thomas, Lois H; Baker, Paula; Burton, Christopher R; Pennington, Lindsay; Roddam, Hazel

2009-05-19

Given the current emphasis on networks as vehicles for innovation and change in health service delivery, the ability to conceptualize and measure organisational enablers for the social construction of knowledge merits attention. This study aimed to develop a composite tool to measure the organisational context for evidence-based practice (EBP) in healthcare. A structured search of the major healthcare and management databases for measurement tools from four domains: research utilisation (RU), research activity (RA), knowledge management (KM), and organisational learning (OL). Included studies were reports of the development or use of measurement tools that included organisational factors. Tools were appraised for face and content validity, plus development and testing methods. Measurement tool items were extracted, merged across the four domains, and categorised within a constructed framework describing the absorptive and receptive capacities of organisations. Thirty measurement tools were identified and appraised. Eighteen tools from the four domains were selected for item extraction and analysis. The constructed framework consists of seven categories relating to three core organisational attributes of vision, leadership, and a learning culture, and four stages of knowledge need, acquisition of new knowledge, knowledge sharing, and knowledge use. Measurement tools from RA or RU domains had more items relating to the categories of leadership, and acquisition of new knowledge; while tools from KM or learning organisation domains had more items relating to vision, learning culture, knowledge need, and knowledge sharing. There was equal emphasis on knowledge use in the different domains. If the translation of evidence into knowledge is viewed as socially mediated, tools to measure the organisational context of EBP in healthcare could be enhanced by consideration of related concepts from the organisational and management sciences. Comparison of measurement tools across domains suggests that there is scope within EBP for supplementing the current emphasis on human and technical resources to support information uptake and use by individuals. Consideration of measurement tools from the fields of KM and OL shows more content related to social mechanisms to facilitate knowledge recognition, translation, and transfer between individuals and groups.

What can management theories offer evidence-based practice? A comparative analysis of measurement tools for organisational context

PubMed Central

French, Beverley; Thomas, Lois H; Baker, Paula; Burton, Christopher R; Pennington, Lindsay; Roddam, Hazel

2009-01-01

Background Given the current emphasis on networks as vehicles for innovation and change in health service delivery, the ability to conceptualise and measure organisational enablers for the social construction of knowledge merits attention. This study aimed to develop a composite tool to measure the organisational context for evidence-based practice (EBP) in healthcare. Methods A structured search of the major healthcare and management databases for measurement tools from four domains: research utilisation (RU), research activity (RA), knowledge management (KM), and organisational learning (OL). Included studies were reports of the development or use of measurement tools that included organisational factors. Tools were appraised for face and content validity, plus development and testing methods. Measurement tool items were extracted, merged across the four domains, and categorised within a constructed framework describing the absorptive and receptive capacities of organisations. Results Thirty measurement tools were identified and appraised. Eighteen tools from the four domains were selected for item extraction and analysis. The constructed framework consists of seven categories relating to three core organisational attributes of vision, leadership, and a learning culture, and four stages of knowledge need, acquisition of new knowledge, knowledge sharing, and knowledge use. Measurement tools from RA or RU domains had more items relating to the categories of leadership, and acquisition of new knowledge; while tools from KM or learning organisation domains had more items relating to vision, learning culture, knowledge need, and knowledge sharing. There was equal emphasis on knowledge use in the different domains. Conclusion If the translation of evidence into knowledge is viewed as socially mediated, tools to measure the organisational context of EBP in healthcare could be enhanced by consideration of related concepts from the organisational and management sciences. Comparison of measurement tools across domains suggests that there is scope within EBP for supplementing the current emphasis on human and technical resources to support information uptake and use by individuals. Consideration of measurement tools from the fields of KM and OL shows more content related to social mechanisms to facilitate knowledge recognition, translation, and transfer between individuals and groups. PMID:19454008

Consistent visualizations of changing knowledge

PubMed Central

Tipney, Hannah J.; Schuyler, Ronald P.; Hunter, Lawrence

2009-01-01

Networks are increasingly used in biology to represent complex data in uncomplicated symbolic form. However, as biological knowledge is continually evolving, so must those networks representing this knowledge. Capturing and presenting this type of knowledge change over time is particularly challenging due to the intimate manner in which researchers customize those networks they come into contact with. The effective visualization of this knowledge is important as it creates insight into complex systems and stimulates hypothesis generation and biological discovery. Here we highlight how the retention of user customizations, and the collection and visualization of knowledge associated provenance supports effective and productive network exploration. We also present an extension of the Hanalyzer system, ReOrient, which supports network exploration and analysis in the presence of knowledge change. PMID:21347184

Science advancements key to increasing management value of life stage monitoring networks for endangered Sacramento River winter-run Chinook salmon in California

USGS Publications Warehouse

Johnson, Rachel C.; Windell, Sean; Brandes, Patricia L.; Conrad, J. Louise; Ferguson, John; Goertler, Pascale A. L.; Harvey, Brett N.; Heublein, Joseph; Isreal, Joshua A.; Kratville, Daniel W.; Kirsch, Joseph E.; Perry, Russell W.; Pisciotto, Joseph; Poytress, William R.; Reece, Kevin; Swart, Brycen G.

2017-01-01

A robust monitoring network that provides quantitative information about the status of imperiled species at key life stages and geographic locations over time is fundamental for sustainable management of fisheries resources. For anadromous species, management actions in one geographic domain can substantially affect abundance of subsequent life stages that span broad geographic regions. Quantitative metrics (e.g., abundance, movement, survival, life history diversity, and condition) at multiple life stages are needed to inform how management actions (e.g., hatcheries, harvest, hydrology, and habitat restoration) influence salmon population dynamics. The existing monitoring network for endangered Sacramento River winterrun Chinook Salmon (SRWRC, Oncorhynchus tshawytscha) in California’s Central Valley was compared to conceptual models developed for each life stage and geographic region of the life cycle to identify relevant SRWRC metrics. We concluded that the current monitoring network was insufficient to diagnose when (life stage) and where (geographic domain) chronic or episodic reductions in SRWRC cohorts occur, precluding within- and among-year comparisons. The strongest quantitative data exist in the Upper Sacramento River, where abundance estimates are generated for adult spawners and emigrating juveniles. However, once SRWRC leave the upper river, our knowledge of their identity, abundance, and condition diminishes, despite the juvenile monitoring enterprise. We identified six system-wide recommended actions to strengthen the value of data generated from the existing monitoring network to assess resource management actions: (1) incorporate genetic run identification; (2) develop juvenile abundance estimates; (3) collect data for life history diversity metrics at multiple life stages; (4) expand and enhance real-time fish survival and movement monitoring; (5) collect fish condition data; and (6) provide timely public access to monitoring data in open data formats. To illustrate how updated technologies can enhance the existing monitoring to provide quantitative data on SRWRC, we provide examples of how each recommendation can address specific management issues.

Physical impairment aware transparent optical networks

NASA Astrophysics Data System (ADS)

Antona, Jean-Christophe; Morea, Annalisa; Zami, Thierry; Leplingard, Florence

2009-11-01

As illustrated by optical fiber and optical amplification, optical telecommunications have appeared for the last ten years as one of the most promising candidates to increase the transmission capacities. More recently, the concept of optical transparency has been investigated and introduced: it consists of the optical routing of Wavelength Division Multiplexed (WDM) channels without systematic optoelectronic processing at nodes, as long as propagation impairments remain acceptable [1]. This allows achieving less power-consuming, more scalable and flexible networks, and today partial optical transparency has become a reality in deployed systems. However, because of the evolution of traffic features, optical networks are facing new challenges such as demand for higher transmitted capacity, further upgradeability, and more automation. Making all these evolutions compliant on the same current network infrastructure with a minimum of upgrades is one of the main issues for equipment vendors and operators. Hence, an automatic and efficient management of the network needs a control plan aware of the expected Quality of Transmission (QoT) of the connections to set-up with respect to numerous parameters such as: the services demanded by the customers in terms of protection/restoration; the modulation rate and format of the connection under test and also of its adjacent WDM channels; the engineering rules of the network elements traversed with an accurate knowledge of the associated physical impairments. Whatever the method and/or the technology used to collect this information, the issue about its accuracy is one of the main concerns of the network system vendors, because an inaccurate knowledge could yield a sub-optimal dimensioning and so additional costs when installing the network in the field. Previous studies [1], [2] illustrated the impact of this knowledge accuracy on the ability to predict the connection feasibility. After describing usual methods to build performance estimators, this paper reports on this impact but at the global network level, quantifying the importance to account for these uncertainties from the early network planning step; it also proposes an improvement of the accuracy of the Quality of Transmission (QoT) estimator to reduce the raise of planned resources due to these uncertainties.

NAVSEA 05D Ship Design and Certification Network Knowledge Management Project

DTIC Science & Technology

2007-09-12

Junod , Vinek Kaistha N SW C C D -C IS D -2 00 7/ 00 1 REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this...NUMBER 5d. PROJECT NUMBER 5e. TASK NUMBER 6. AUTHOR(S) John Junod , LCdr Mark Read, Vinek Kaistha 5f. WORK UNIT NUMBER 06-1-2002

Web 2.0 Technologies for Effective Knowledge Management in Organizations: A Qualitative Analysis

ERIC Educational Resources Information Center

Nath, Anupam Kumar

2012-01-01

A new generation of Internet-based collaborative tools, commonly known as Web 2.0, has increased in popularity, availability, and power in the last few years (Kane and Fichman, 2009). Web 2.0 is a set of Internet-based applications that harness network effects by facilitating collaborative and participative computing (O'Reilly, 2006).…

International Conference on Human Resource Development for Nuclear Power Programmes: Strategies for Education and Training, Networking and Knowledge Management

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pepper, Susan E.; Bachner, Katherine M.

The report includes a summary of the overall workshop results and also copies of the two papers and interactive presentations given by BNL staff at the meeting. The two presentations were titled ''The value of the Junior Professional Officer (JPO) program to the IAEA and its Member States'' and ''Promoting intercultural competencies''.

Specialized Common Carriers: Long Distance Alternatives for Military Installations.

DTIC Science & Technology

1984-03-01

military installation managers with a basic knowledge of how Specialized Common Carriers enter-f ed the telecommuunications market , what services...how Specialized Common Carriers .ntered the teleccumunicaticns market , what services Specialized Common Carriers offer, and how to obtain these...26 A. ATSTOS SEFIICES--THE MARKET STANDARD .... 26 E. SCC SVITCEID VOICE NETWORK SERVICES . . . 28 1. Dial Access Services . . . .. 28 2

Understanding the Context of Learning in an Online Social Network for Health Professionals' Informal Learning.

PubMed

Li, Xin; Gray, Kathleen; Verspoor, Karin; Barnett, Stephen

2017-01-01

Online social networks (OSN) enable health professionals to learn informally, for example by sharing medical knowledge, or discussing practice management challenges and clinical issues. Understanding the learning context in OSN is necessary to get a complete picture of the learning process, in order to better support this type of learning. This study proposes critical contextual factors for understanding the learning context in OSN for health professionals, and demonstrates how these contextual factors can be used to analyse the learning context in a designated online learning environment for health professionals.

Overview of the Smart Network Element Architecture and Recent Innovations

NASA Technical Reports Server (NTRS)

Perotti, Jose M.; Mata, Carlos T.; Oostdyk, Rebecca L.

2008-01-01

In industrial environments, system operators rely on the availability and accuracy of sensors to monitor processes and detect failures of components and/or processes. The sensors must be networked in such a way that their data is reported to a central human interface, where operators are tasked with making real-time decisions based on the state of the sensors and the components that are being monitored. Incorporating health management functions at this central location aids the operator by automating the decision-making process to suggest, and sometimes perform, the action required by current operating conditions. Integrated Systems Health Management (ISHM) aims to incorporate data from many sources, including real-time and historical data and user input, and extract information and knowledge from that data to diagnose failures and predict future failures of the system. By distributing health management processing to lower levels of the architecture, there is less bandwidth required for ISHM, enhanced data fusion, make systems and processes more robust, and improved resolution for the detection and isolation of failures in a system, subsystem, component, or process. The Smart Network Element (SNE) has been developed at NASA Kennedy Space Center to perform intelligent functions at sensors and actuators' level in support of ISHM.

Knowledge diffusion of dynamical network in terms of interaction frequency.

PubMed

Liu, Jian-Guo; Zhou, Qing; Guo, Qiang; Yang, Zhen-Hua; Xie, Fei; Han, Jing-Ti

2017-09-07

In this paper, we present a knowledge diffusion (SKD) model for dynamic networks by taking into account the interaction frequency which always used to measure the social closeness. A set of agents, which are initially interconnected to form a random network, either exchange knowledge with their neighbors or move toward a new location through an edge-rewiring procedure. The activity of knowledge exchange between agents is determined by a knowledge transfer rule that the target node would preferentially select one neighbor node to transfer knowledge with probability p according to their interaction frequency instead of the knowledge distance, otherwise, the target node would build a new link with its second-order neighbor preferentially or select one node in the system randomly with probability 1 - p. The simulation results show that, comparing with the Null model defined by the random selection mechanism and the traditional knowledge diffusion (TKD) model driven by knowledge distance, the knowledge would spread more fast based on SKD driven by interaction frequency. In particular, the network structure of SKD would evolve as an assortative one, which is a fundamental feature of social networks. This work would be helpful for deeply understanding the coevolution of the knowledge diffusion and network structure.

The application of integrated knowledge-based systems for the Biomedical Risk Assessment Intelligent Network (BRAIN)

NASA Technical Reports Server (NTRS)

Loftin, Karin C.; Ly, Bebe; Webster, Laurie; Verlander, James; Taylor, Gerald R.; Riley, Gary; Culbert, Chris

1992-01-01

One of NASA's goals for long duration space flight is to maintain acceptable levels of crew health, safety, and performance. One way of meeting this goal is through BRAIN, an integrated network of both human and computer elements. BRAIN will function as an advisor to mission managers by assessing the risk of inflight biomedical problems and recommending appropriate countermeasures. Described here is a joint effort among various NASA elements to develop BRAIN and the Infectious Disease Risk Assessment (IDRA) prototype. The implementation of this effort addresses the technological aspects of knowledge acquisition, integration of IDRA components, the use of expert systems to automate the biomedical prediction process, development of a user friendly interface, and integration of IDRA and ExerCISys systems. Because C language, CLIPS and the X-Window System are portable and easily integrated, they were chosen ss the tools for the initial IDRA prototype.

Networking and Information Technology Research and Development. Advanced Foundations for American Innovation. Supplement to the President’s FY 2004 Budget

DTIC Science & Technology

2003-09-01

sensors – now generating more empirical data annually than existed in the field of astronomy before 1980 – and the ability of researchers to make use of it...9701 cray@hpcmo.hpc.mil David W. Hislop , Ph.D. Program Manager, Software and Knowledge Based Systems U.S. Army Research Office P.O. Box 12211 Research...Triangle Park, NC 27709 (919) 549-4255 FAX: (919) 549-4354 hislop @aro-emh1.army.mil Rodger Johnson Program Manager, Defense Research and Engineering

Scotland's Knowledge Network: translating knowledge into action to improve quality of care.

PubMed

Wales, A; Graham, S; Rooney, K; Crawford, A

2012-11-01

The Knowledge Network (www.knowledge.scot.nhs.uk) is Scotland's online knowledge service for health and social care. It is designed to support practitioners to apply knowledge in frontline delivery of care, helping to translate knowledge into better health-care outcomes through safe, effective, person-centred care. The Knowledge Network helps to combine the worlds of evidence-based practice and quality improvement by providing access to knowledge about the effectiveness of clinical interventions ('know-what') and knowledge about how to implement this knowledge to support individual patients in working health-care environments ('know-how'). An 'evidence and guidance' search enables clinicians to quickly access quality-assured evidence and best practice, while point of care and mobile solutions provide knowledge in actionable formats to embed in clinical workflow. This research-based knowledge is complemented by social networking services and improvement tools which support the capture and exchange of knowledge from experience, facilitating practice change and systems improvement. In these cases, the Knowledge Network supports key components of the knowledge-to-action cycle--acquiring, creating, sharing and disseminating knowledge to improve performance and innovate. It provides a vehicle for implementing the recommendations of the national Knowledge into Action review, which outlines a new national approach to embedding knowledge in frontline practice and systems improvement.

An interprofessional diabetes experience to improve pharmacy and nursing students' competency in collaborative practice.

PubMed

Pittenger, Amy L; Westberg, Sarah; Rowan, Mary; Schweiss, Sarah

2013-11-12

To improve pharmacy and nursing students' competency in collaborative practice by having them participate in an interprofessional diabetes experience involving social networking. An existing elective course on diabetes management was modified to include interprofessional content based on Interprofessional Education Collaborative (IPEC) competency domains. Web-based collaborative tools (social networking and video chat) were used to allow nursing and pharmacy students located on 2 different campuses to apply diabetes management content as an interprofessional team. Mixed-method analyses demonstrated an increase in students' knowledge of the roles and responsibilities of the other profession and developed an understanding of interprofessional communication strategies and their central role in effective teamwork. Interprofessional content and activities can be effectively integrated into an existing course and offered successfully to students from other professional programs and on remote campuses.

Structural dimensions of knowledge-action networks for sustainability

Treesearch

Tischa A. Munoz; B.B. Cutts

2016-01-01

Research on the influence of social network structure over flows of knowledge in support of sustainability governance and action has recently flourished. These studies highlight three challenges to evaluating knowledge-action networks: first, defining boundaries; second, characterizing power distributions; and third, identifying obstacles to knowledge sharing and...

A method for exploring implicit concept relatedness in biomedical knowledge network.

PubMed

Bai, Tian; Gong, Leiguang; Wang, Ye; Wang, Yan; Kulikowski, Casimir A; Huang, Lan

2016-07-19

Biomedical information and knowledge, structural and non-structural, stored in different repositories can be semantically connected to form a hybrid knowledge network. How to compute relatedness between concepts and discover valuable but implicit information or knowledge from it effectively and efficiently is of paramount importance for precision medicine, and a major challenge facing the biomedical research community. In this study, a hybrid biomedical knowledge network is constructed by linking concepts across multiple biomedical ontologies as well as non-structural biomedical knowledge sources. To discover implicit relatedness between concepts in ontologies for which potentially valuable relationships (implicit knowledge) may exist, we developed a Multi-Ontology Relatedness Model (MORM) within the knowledge network, for which a relatedness network (RN) is defined and computed across multiple ontologies using a formal inference mechanism of set-theoretic operations. Semantic constraints are designed and implemented to prune the search space of the relatedness network. Experiments to test examples of several biomedical applications have been carried out, and the evaluation of the results showed an encouraging potential of the proposed approach to biomedical knowledge discovery.

Creating and testing the concept of an academic NGO for enhancing health equity: a new mode of knowledge production?

PubMed

Robinson, Vivian; Tugwell, Peter; Walker, Peter; Ter Kuile, Aleida A; Neufeld, Vic; Hatcher-Roberts, Janet; Amaratunga, Carol; Andersson, Neil; Doull, Marion; Labonte, Ron; Muckle, Wendy; Murangira, Felicite; Nyamai, Caroline; Ralph-Robinson, Dawn; Simpson, Don; Sitthi-Amorn, Chitr; Turnbull, Jeff; Walker, Joelle; Wood, Chris

2007-08-01

Collaborative action is required to address persistent and systematic health inequities which exist for most diseases in most countries of the world. The Academic NGO initiative (ACANGO) described in this paper was set up as a focused network giving priority to twinned partnerships between Academic research centres and community-based NGOs. ACANGO aims to capture the strengths of both in order to build consensus among stakeholders, engage the community, focus on leadership training, shared management and resource development and deployment. A conceptual model was developed through a series of community consultations. This model was tested with four academic-community challenge projects based in Kenya, Canada, Thailand and Rwanda and an online forum and coordinating hub based at the University of Ottawa. Between February 2005 and February 2007, each of the four challenge projects was able to show specific outputs, outcomes and impacts related to enhancing health equity through the relevant production and application of knowledge. The ACANGO initiative model and network has demonstrated success in enhancing the production and use of knowledge in program design and implementation for vulnerable populations.

Integration science and distributed networks

NASA Astrophysics Data System (ADS)

Landauer, Christopher; Bellman, Kirstie L.

2002-07-01

Our work on integration of data and knowledge sources is based in a common theoretical treatment of 'Integration Science', which leads to systematic processes for combining formal logical and mathematical systems, computational and physical systems, and human systems and organizations. The theory is based on the processing of explicit meta-knowledge about the roles played by the different knowledge sources and the methods of analysis and semantic implications of the different data values, together with information about the context in which and the purpose for which they are being combined. The research treatment is primarily mathematical, and though this kind of integration mathematics is still under development, there are some applicable common threads that have emerged already. Instead of describing the current state of the mathematical investigations, since they are not yet crystallized enough for formalisms, we describe our applications of the approach in several different areas, including our focus area of 'Constructed Complex Systems', which are complex heterogeneous systems managed or mediated by computing systems. In this context, it is important to remember that all systems are embedded, all systems are autonomous, and that all systems are distributed networks.

Envisioning the future of wildlife in a changing climate: Collaborative learning for adaptation planning

USGS Publications Warehouse

LeDee, Olivia E.; Karasov, W.H.; Martin, Karl J.; Meyer, Michael W.; Ribic, Christine; Van Deelen, Timothy R.

2011-01-01

Natural resource managers are tasked with assessing the impacts of climate change on conservation targets and developing adaptation strategies to meet agency goals. The complex, transboundary nature of climate change demands the collaboration of scientists, managers, and stakeholders in this effort. To share, integrate, and apply knowledge from these diverse perspectives, we must engage in social learning. In 2009, we initiated a process to engage university researchers and agency scientists and managers in collaborative learning to assess the impacts of climate change on terrestrial fauna in the state of Wisconsin, USA. We constructed conceptual Bayesian networks to depict the influence of climate change, key biotic and abiotic factors, and existing stressors on the distribution and abundance of 3 species: greater prairie-chicken (Tympanuchus cupido), wood frog (Lithobates sylvaticus), and Karner blue butterfly (Plebejus melissa samuelis). For each species, we completed a 2-stage expert review that elicited dialogue on information gaps, management opportunities, and research priorities. From our experience, collaborative network modeling proved to be a powerful tool to develop a common vision of the potential impacts of climate change on conservation targets.

Intelligent support of e-management for consumer-focused virtual enterprises

NASA Astrophysics Data System (ADS)

Chandra, Charu; Smirnov, Alexander V.

2000-10-01

The interest in consumer-focused virtual enterprises (VE) decision-making problem is growing fast. The purpose of this type of enterprise is to transform incomplete information about customer orders and available resources into-co-ordinated plans for production and replenishment of goods and services in the temporal network formed by collaborating units. This implies that information in the consumer-focused VE can be shared via Internet, Intranet, and Extranet for business-to-consumer (B2C), business-to-business service (B2B-S), and business-to-business goods (B2B-G) transactions. One of the goals of Internet-Based Management (e-management) is to facilitate transfer and sharing of data and knowledge in the context of enterprise collaboration. This paper discusses a generic framework of e-management that integrates intelligent information support group-decision making, and agreement modeling for a VE network. It offers the platform for design and modeling of diverse implementation strategies related to the type of agreement, optimization policies, decision-making strategies, organization structures, and information sharing strategies and mechanisms, and business policies for the VE.

An adaptable toolkit to assess commercial fishery costs and benefits related to marine protected area network design.

PubMed

Daigle, Rémi M; Monaco, Cristián J; Elgin, Ashley K

2015-01-01

Around the world, governments are establishing Marine Protected Area (MPA) networks to meet their commitments to the United Nations Convention on Biological Diversity. MPAs are often used in an effort to conserve biodiversity and manage fisheries stocks. However, their efficacy and effect on fisheries yields remain unclear. We conducted a case-study on the economic impact of different MPA network design strategies on the Atlantic cod ( Gadus morhua ) fisheries in Canada. The open-source R package that we developed to analyze this case study can be customized to conduct similar analyses for other systems. We used a spatially-explicit individual-based model of population growth and dispersal coupled with a fisheries management and harvesting component. We found that MPA networks that both protect the target species' habitat and were spatially optimized to improve population connectivity had the highest net present value (i.e., were most profitable for the fishing industry). These higher profits were achieved primarily by reducing the distance travelled for fishing and reducing the probability of a moratorium event. These findings add to a growing body of knowledge demonstrating the importance of incorporating population connectivity in the MPA planning process, as well as the ability of this R package to explore ecological and economic consequences of alternative MPA network designs.

“Tertius gaudens”: germplasm exchange networks and agroecological knowledge among home gardeners in the Iberian Peninsula

PubMed Central

2013-01-01

Background The idea that knowledge flows through social networks is implicit in research on traditional knowledge, but researchers have paid scant attention to the role of social networks in shaping its distribution. We bridge those two bodies of research and investigate a) the structure of network of exchange of plant propagation material (germplasm) and b) the relation between a person’s centrality in such network and his/her agroecological knowledge. Methods We study 10 networks of germplasm exchange (n = 363) in mountain regions of the Iberian Peninsula. Data were collected through participant observation, semi-structured interviews, and a survey. Results The networks display some structural characteristics (i.e., decentralization, presence of external actors) that could enhance the flow of knowledge and germplasm but also some characteristics that do not favor such flow (i.e., low density and fragmentation). We also find that a measure that captures the number of contacts of an individual in the germplasm exchange network is associated with the person’s agroecological knowledge. Conclusion Our findings highlight the importance of social relations in the construction of traditional knowledge. PMID:23883296

A survey on the beliefs and knowledge of gout management in new medical graduates - New South Wales, Australia.

PubMed

Terrill, Matthew; Riordan, John

2018-02-01

To assess the beliefs and knowledge of gout management in new medical graduates. A survey on gout management was sent to new medical graduates during their orientation week, New South Wales, Australia. Of 15 hospital networks, 11 agreed to participate. From these, 168 graduates responded (23.7% response rate). Most (81.1%) felt that gout was a serious disease, 51.2% answered that they had been taught adequately to manage acute gout, only 37.2% for chronic gout. In an acute gout flare, 63.4% answered they would continue urate lowering therapy and 67.2% were aware of first-line pharmacological management options; 28% answered the correct dosing regimen for colchicine. Chronic management was answered poorly. Only 42.0% stated they would titrate allopurinol dosing to a target urate level; 23.5% would check the urate level monthly. More than half, 56.8%, were aware that medical prophylaxis is indicated when initiating urate lowering therapy. Of this subgroup, 46.7% (25.9% overall) knew that non-steroidal anti-inflammatory drugs and colchicine were recommended and 28.4% (15.4% overall) answered the correct timeframe of use. Close to one-third (35.0%), were aware of febuxostat, probenecid and benzbromarone as second-line urate lowering therapy. The findings of this study suggest that new graduates' knowledge of gout management, especially chronic management, is suboptimal. Many felt their teaching on gout management inadequate; this is a potential target for intervention. Up to date university education which covers chronic management may lead to better clinical outcomes for this burdensome disease. © 2017 Asia Pacific League of Associations for Rheumatology and John Wiley & Sons Australia, Ltd.

Personal networks: a tool for gaining insight into the transmission of knowledge about food and medicinal plants among Tyrolean (Austrian) migrants in Australia, Brazil and Peru

PubMed Central

2014-01-01

Background Investigations into knowledge about food and medicinal plants in a certain geographic area or within a specific group are an important element of ethnobotanical research. This knowledge is context specific and dynamic due to changing ecological, social and economic circumstances. Migration processes affect food habits and the knowledge and use of medicinal plants as a result of adaptations that have to be made to new surroundings and changing environments. This study analyses and compares the different dynamics in the transmission of knowledge about food and medicinal plants among Tyrolean migrants in Australia, Brazil and Peru. Methods A social network approach was used to collect data on personal networks of knowledge about food and medicinal plants among Tyroleans who have migrated to Australia, Brazil and Peru and their descendants. A statistical analysis of the personal network maps and a qualitative analysis of the narratives were combined to provide insight into the process of transmitting knowledge about food and medicinal plants. Results 56 personal networks were identified in all (food: 30; medicinal plants: 26) across all the field sites studied here. In both sets of networks, the main source of knowledge is individual people (food: 71%; medicinal plants: 68%). The other sources mentioned are print and audiovisual media, organisations and institutions. Personal networks of food knowledge are larger than personal networks of medicinal plant knowledge in all areas of investigation. Relatives play a major role as transmitters of knowledge in both domains. Conclusions Human sources, especially relatives, play an important role in knowledge transmission in both domains. Reference was made to other sources as well, such as books, television, the internet, schools and restaurants. By taking a personal network approach, this study reveals the mode of transmission of knowledge about food and medicinal plants within a migrational context. PMID:24398225

Personal networks: a tool for gaining insight into the transmission of knowledge about food and medicinal plants among Tyrolean (Austrian) migrants in Australia, Brazil and Peru.

PubMed

Haselmair, Ruth; Pirker, Heidemarie; Kuhn, Elisabeth; Vogl, Christian R

2014-01-07

Investigations into knowledge about food and medicinal plants in a certain geographic area or within a specific group are an important element of ethnobotanical research. This knowledge is context specific and dynamic due to changing ecological, social and economic circumstances. Migration processes affect food habits and the knowledge and use of medicinal plants as a result of adaptations that have to be made to new surroundings and changing environments. This study analyses and compares the different dynamics in the transmission of knowledge about food and medicinal plants among Tyrolean migrants in Australia, Brazil and Peru. A social network approach was used to collect data on personal networks of knowledge about food and medicinal plants among Tyroleans who have migrated to Australia, Brazil and Peru and their descendants. A statistical analysis of the personal network maps and a qualitative analysis of the narratives were combined to provide insight into the process of transmitting knowledge about food and medicinal plants. 56 personal networks were identified in all (food: 30; medicinal plants: 26) across all the field sites studied here. In both sets of networks, the main source of knowledge is individual people (food: 71%; medicinal plants: 68%). The other sources mentioned are print and audiovisual media, organisations and institutions. Personal networks of food knowledge are larger than personal networks of medicinal plant knowledge in all areas of investigation. Relatives play a major role as transmitters of knowledge in both domains. Human sources, especially relatives, play an important role in knowledge transmission in both domains. Reference was made to other sources as well, such as books, television, the internet, schools and restaurants. By taking a personal network approach, this study reveals the mode of transmission of knowledge about food and medicinal plants within a migrational context.

Knowledge diffusion in complex networks by considering time-varying information channels

NASA Astrophysics Data System (ADS)

Zhu, He; Ma, Jing

2018-03-01

In this article, based on a model of epidemic spreading, we explore the knowledge diffusion process with an innovative mechanism for complex networks by considering time-varying information channels. To cover the knowledge diffusion process in homogeneous and heterogeneous networks, two types of networks (the BA network and the ER network) are investigated. The mean-field theory is used to theoretically draw the knowledge diffusion threshold. Numerical simulation demonstrates that the knowledge diffusion threshold is almost linearly correlated with the mean of the activity rate. In addition, under the influence of the activity rate and distinct from the classic Susceptible-Infected-Susceptible (SIS) model, the density of knowers almost linearly grows with the spreading rate. Finally, in consideration of the ubiquitous mechanism of innovation, we further study the evolution of knowledge in our proposed model. The results suggest that compared with the effect of the spreading rate, the average knowledge version of the population is affected more by the innovation parameter and the mean of the activity rate. Furthermore, in the BA network, the average knowledge version of individuals with higher degree is always newer than those with lower degree.

Nonstructural urban stormwater quality measures: building a knowledge base to improve their use.

PubMed

Taylor, André C; Fletcher, Tim D

2007-05-01

This article summarizes a research project that investigated the use, performance, cost, and evaluation of nonstructural measures to improve urban stormwater quality. A survey of urban stormwater managers from Australia, New Zealand, and the United States revealed a widespread trend of increasing use of nonstructural measures among leading stormwater management agencies, with at least 76% of 41 types of nonstructural measures being found to be increasing in use. Data gathered from the survey, an international literature review, and a multicriteria analysis highlighted four nonstructural measures of greatest potential value: mandatory town planning controls that promote the adoption of low-impact development principles and techniques; development of strategic urban stormwater management plans for a city, shire, or catchment; stormwater management measures and programs for construction/building sites; and stormwater management activities related to municipal maintenance operations such as maintenance of the stormwater drainage network and manual litter collections. Knowledge gained on the use and performance of nonstructural measures from the survey, literature review, and three trial evaluation projects was used to develop tailored monitoring and evaluation guidelines for these types of measure. These guidelines incorporate a new evaluation framework based on seven alternative styles of evaluation that range from simply monitoring whether a nonstructural measure has been fully implemented to monitoring its impact on waterway health. This research helps to build the stormwater management industry's knowledge base concerning nonstructural measures and provides a practical tool to address common impediments associated with monitoring and evaluating the performance and cost of these measures.

The ANTARES observation network

NASA Astrophysics Data System (ADS)

Dogliotti, Ana I.; Ulloa, Osvaldo; Muller-Karger, Frank; Hu, Chuanmin; Murch, Brock; Taylor, Charles; Yuras, Gabriel; Kampel, Milton; Lutz, Vivian; Gaeta, Salvador; Gagliardini, Domingo A.; Garcia, Carlos A. E.; Klein, Eduardo; Helbling, Walter; Varela, Ramon; Barbieri, Elena; Negri, Ruben; Frouin, Robert; Sathyendranath, Shubha; Platt, Trevor

2005-08-01

The ANTARES network seeks to understand the variability of the coastal environment on a continental scale and the local, regional, and global factors and processes that effect this change. The focus are coastal zones of South America and the Caribbean Sea. The initial approach includes developing time series of in situ and satellite-based environmental observations in coastal and oceanic regions. The network is constituted by experts that seek to exchange ideas, develop an infrastructure for mutual logistical and knowledge support, and link in situ time series of observations located around the Americas with real-time and historical satellite-derived time series of relevant products. A major objective is to generate information that will be distributed publicly and openly in the service of coastal ocean research, resource management, science-based policy making and education in the Americas. As a first stage, the network has linked oceanographic time series located in Argentina, Brazil, Chile and Venezuela. The group has also developed an online tool to examine satellite data collected with sensors such as NASA's MODIS. Specifically, continental-scale high-resolution (1 km) maps of chlorophyll and of sea surface temperature are generated and served daily over the web according to specifications of users within the ANTARES network. Other satellite-derived variables will be added as support for the network is solidified. ANTARES serves data and offers simple analysis tools that anyone can use with the ultimate goal of improving coastal assessments, management and policies.

Collaboration between industry and academia--prospects for male fertility control.

PubMed

Stock, G; Habenicht, U F

1999-12-01

Drug development within the pharmaceutical industry is probably the field with the highest level of regulations. Due to the complexity of the different components of drug development and drug surveillance the need for a sophisticated organization and infrastructure is obvious. In addition, there is a necessity for sufficient resources and long-term commitment as well as logistic and long-term knowledge management. In order to secure high professional standards at all levels of this highly complex value creating chain, the number of cooperative arrangements in the pharmaceutical industry are increasing. The identification of new targets in the drug finding process calls in particular for outside partners. At the same time the preparedness of non-industrial researchers to cooperate with industry has also increased significantly. The area of fertility control, especially male fertility control, provides an excellent example for this kind of cooperation between industrial and non-industrial partners. Here a cooperative network is described which probably meets practically all relevant criteria for both the non-industrial but also the industrial partner. Some principles for the management of such a cooperative network are discussed. We believe that this kind of network can serve as a model for similar networks in other fields.

Integrating observations and models to help understanding how flooding impacts upon catchments as a basis for decision making.

NASA Astrophysics Data System (ADS)

Owen, Gareth; Quinn, Paul; O'Donnell, Greg

2014-05-01

This paper explains how flood management projects might be better informed in the future by using more observations and a novel impact modelling tool in a simple transparent framework. The understanding of how local scale impacts propagate downstream to impact on the downstream hydrograph is difficult to determine using traditional rainfall runoff and hydraulic routing methods. The traditional approach to modelling essentially comprises selecting a fixed model structure and then calibrating to an observational hydrograph, which make those model predictions highly uncertain. Here, a novel approach is used in which the structure of the runoff generation is not specified a priori and incorporates expert knowledge. Rather than using externally for calibration, the observed outlet hydrographs are used directly within the model. Essentially the approach involves the disaggregation of the outlet hydrograph by making assumptions about the spatial distribution of runoff generated. The channel network is parameterised through a comparison of the timing of observed hydrographs at a number of nested locations within the catchment. The user is then encouraged to use their expert knowledge to define how runoff is generated locally and what the likely impact of any local mitigation is. Therefore the user can specify any hydrological model or flow estimation method that captures their expertise. Equally, the user is encouraged to install as many instruments as they can afford to cover the catchment network. A Decision Support Matrix (DSM) is used to encapsulate knowledge of the runoff dynamics gained from simulation in a simple visual way and hence to convey the likely impacts that arise from a given flood management scenario. This tool has been designed primarily to inform and educate landowners, catchment managers and decision makers. The DSM outlines scenarios that are likely to increase or decrease runoff rates and allows the user to contemplate the implications and uncertainty of their decisions. The tool can also be used to map the likely changes in flood peak due to land use management options. An example case study will be shown for a 35km2 catchment in Northern England which is prone to flooding. The method encourages end users to instrument and quantify their own catchment network and to make informed, evidence based decisions appropriate to their own flooding problems.

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

ERIC Educational Resources Information Center

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…

The Fall of the General Staff Model: Towards a Third Generation U.S. Army Staff Theory

DTIC Science & Technology

2013-05-23

Officer AVN : Aviation M&M: Movement and Manuever CBRN: Chemical, Biological, Radiological, Nuclear MP: Military Police 128Department of the Army...Missile Defense KM: Knowledge Management AVN : Aviation CMD GRP: Command Group M&M: Movement And Maneuver CA: Civil Affairs NETOPS: Network...ADA: Air Defense Artillery LNO: Liaison Officer AVN : Aviation M&M: Movement and Manuever CBRN: Chemical, Biological

Satellites for Commonwealth Education: Some Policy Issues. Case Studies: AUSSAT, Australia; Knowledge Network, Canada; INSAT, India; University of the South Pacific; University of the West Indies.

ERIC Educational Resources Information Center

Bates, A. W.

This report presents case studies on the use of satellites for education in five Commonwealth countries: Australia, Canada, India, Fiji, and Jamaica. Information provided in each of the case studies includes geography, production, the distribution system, regulation and management, and costs. Additional information given for the Australian…

Applied Knowledge Management to Mitigate Cognitive Load in Network-Enabled Mission Command

DTIC Science & Technology

2017-11-22

distribution is unlimited. ii REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is...data needed, and completing and reviewing the collection information . Send comments regarding this burden estimate or any other aspect of this...collection of information , including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for

The 1991 Goddard Conference on Space Applications of Artificial Intelligence

NASA Technical Reports Server (NTRS)

Rash, James L. (Editor)

1991-01-01

The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The papers in this proceeding fall into the following areas: Planning and scheduling, fault monitoring/diagnosis/recovery, machine vision, robotics, system development, information management, knowledge acquisition and representation, distributed systems, tools, neural networks, and miscellaneous applications.

CEDEFOP Work Programme 2000, Approved at the Meeting of the Management Board (November 23-24, 1999). CEDEFOP Reference Document.

ERIC Educational Resources Information Center

European Centre for the Development of Vocational Training, Thessaloniki (Greece).

This document presents the Work Program 2000 of the European Center for the Development of Vocational Training (CEDEFOP). It is divided into two sections, each of which describes the main aims and expected activities and outcomes of CEDEFOP projects and the activities of its networks in 2000. The first focuses on developing knowledge and expertise…

Using Information and Knowledge Required In Assessment and Management Applications for Sustainability

Treesearch

Albert Abee

2006-01-01

A broader concept of sustainability was introduced. Ted Heintz introduced the concept of sustainability as a life sustaining property of earth’s biosphere. Ted observed that Life in a wide variety of forms, interacting in networks of evolving relationships, has been sustained for nearly 4 billion years. Sustainability is a property of the system as a whole, a result of...

Methods and systems for detecting abnormal digital traffic

DOEpatents

Goranson, Craig A [Kennewick, WA; Burnette, John R [Kennewick, WA

2011-03-22

Aspects of the present invention encompass methods and systems for detecting abnormal digital traffic by assigning characterizations of network behaviors according to knowledge nodes and calculating a confidence value based on the characterizations from at least one knowledge node and on weighting factors associated with the knowledge nodes. The knowledge nodes include a characterization model based on prior network information. At least one of the knowledge nodes should not be based on fixed thresholds or signatures. The confidence value includes a quantification of the degree of confidence that the network behaviors constitute abnormal network traffic.

Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks.

PubMed

Tran, Son N; d'Avila Garcez, Artur S

2018-02-01

Developments in deep learning have seen the use of layerwise unsupervised learning combined with supervised learning for fine-tuning. With this layerwise approach, a deep network can be seen as a more modular system that lends itself well to learning representations. In this paper, we investigate whether such modularity can be useful to the insertion of background knowledge into deep networks, whether it can improve learning performance when it is available, and to the extraction of knowledge from trained deep networks, and whether it can offer a better understanding of the representations learned by such networks. To this end, we use a simple symbolic language-a set of logical rules that we call confidence rules-and show that it is suitable for the representation of quantitative reasoning in deep networks. We show by knowledge extraction that confidence rules can offer a low-cost representation for layerwise networks (or restricted Boltzmann machines). We also show that layerwise extraction can produce an improvement in the accuracy of deep belief networks. Furthermore, the proposed symbolic characterization of deep networks provides a novel method for the insertion of prior knowledge and training of deep networks. With the use of this method, a deep neural-symbolic system is proposed and evaluated, with the experimental results indicating that modularity through the use of confidence rules and knowledge insertion can be beneficial to network performance.

Linking knowledge and action through mental models of sustainable agriculture.

PubMed

Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

2014-09-09

Linking knowledge to action requires understanding how decision-makers conceptualize sustainability. This paper empirically analyzes farmer "mental models" of sustainability from three winegrape-growing regions of California where local extension programs have focused on sustainable agriculture. The mental models are represented as networks where sustainability concepts are nodes, and links are established when a farmer mentions two concepts in their stated definition of sustainability. The results suggest that winegrape grower mental models of sustainability are hierarchically structured, relatively similar across regions, and strongly linked to participation in extension programs and adoption of sustainable farm practices. We discuss the implications of our findings for the debate over the meaning of sustainability, and the role of local extension programs in managing knowledge systems.

Mapping knowledge translation and innovation processes in Cancer Drug Development: the case of liposomal doxorubicin.

PubMed

Fajardo-Ortiz, David; Duran, Luis; Moreno, Laura; Ochoa, Hector; Castaño, Victor M

2014-09-03

We explored how the knowledge translation and innovation processes are structured when theyresult in innovations, as in the case of liposomal doxorubicin research. In order to map the processes, a literature network analysis was made through Cytoscape and semantic analysis was performed by GOPubmed which is based in the controlled vocabularies MeSH (Medical Subject Headings) and GO (Gene Ontology). We found clusters related to different stages of the technological development (invention, innovation and imitation) and the knowledge translation process (preclinical, translational and clinical research), and we were able to map the historic emergence of Doxil as a paradigmatic nanodrug. This research could be a powerful methodological tool for decision-making and innovation management in drug delivery research.

Linking knowledge and action through mental models of sustainable agriculture

PubMed Central

Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

2014-01-01

Linking knowledge to action requires understanding how decision-makers conceptualize sustainability. This paper empirically analyzes farmer “mental models” of sustainability from three winegrape-growing regions of California where local extension programs have focused on sustainable agriculture. The mental models are represented as networks where sustainability concepts are nodes, and links are established when a farmer mentions two concepts in their stated definition of sustainability. The results suggest that winegrape grower mental models of sustainability are hierarchically structured, relatively similar across regions, and strongly linked to participation in extension programs and adoption of sustainable farm practices. We discuss the implications of our findings for the debate over the meaning of sustainability, and the role of local extension programs in managing knowledge systems. PMID:25157158

Translational networks in healthcare? Evidence on the design and initiation of organizational networks for knowledge mobilization.

PubMed

Fitzgerald, Louise; Harvey, Gill

2015-08-01

International attention has focussed on the variations between research evidence and practice in healthcare. This prompted the creation of formalized translational networks consisting of academic-service partnerships. The English Collaborations for Leadership in Applied Health Research and Care (CLAHRCs) are one example of a translational network. Using longitudinal, archival case study data from one CLAHRC over a 3-year period (2008-11), this article explores the relationship between organizational form and the function(s) of a translational network. The article focuses on the research gaps on the effective structures and appropriate governance to support a translational network. Data analysis suggested that the policy of setting up translational networks is insufficient of itself to produce positive translational activity. The data indicate that to leverage the benefits of the whole network, attention must be paid to devising a structure which integrates research production and use and facilitates lateral cross-disciplinary and cross-organizational communication. Equally, appropriate governance arrangements are necessary, particularly in large, multi-stakeholder networks, where shared governance may be questionable. Inappropriate network structure and governance inhibits the potential of the translational network. Finally, the case provides insights into the movement of knowledge within and between network organizations. The data demonstrate that knowledge mobilization extends beyond knowledge translation; knowledge mobilization includes the negotiated utilization of knowledge - a balanced power form of collaboration. Whilst much translational effort is externally focused on the health system, our findings highlight the essential need for the internal negotiation and mobilization of knowledge within academia. Copyright © 2015 Elsevier Ltd. All rights reserved.

The User Knows What to Call It: Incorporating Patient Voice Through User-Contributed Tags on a Participatory Platform About Health Management

PubMed Central

Carriere, Rachel M; Kaplan, Samantha Jan

2017-01-01

Background Body listening, described as the act of paying attention to the body’s signals and cues, can be an important component of long-term health management. Objective The aim of this study was to introduce and evaluate the Body Listening Project, an innovative effort to engage the public in the creation of a public resource—to leverage collective wisdom in the health domain. This project involved a website where people could contribute their experiences of and dialogue with others concerning body listening and self-management. This article presents an analysis of the tags contributed, with a focus on the value of these tags for knowledge organization and incorporation into consumer-friendly health information retrieval systems. Methods First, we performed content analysis of the tags contributed, identifying a set of categories and refining the relational structure of the categories to develop a preliminary classification scheme, the Body Listening and Self-Management Taxonomy. Second, we compared the concepts in the Body Listening and Self-Management Taxonomy with concepts that were automatically identified from an extant health knowledge resource, the Unified Medical Language System (UMLS), to better characterize the information that participants contributed. Third, we employed visualization techniques to explore the concept space of the tags. A correlation matrix, based on the extent to which categories tended to be assigned to the same tags, was used to study the interrelatedness of the taxonomy categories. Then a network visualization was used to investigate structural relationships among the categories in the taxonomy. Results First, we proposed a taxonomy called the Body Listening and Self-Management Taxonomy, with four meta-level categories: (1) health management strategies, (2) concepts and states, (3) influencers, and (4) health-related information behavior. This taxonomy could inform future efforts to organize knowledge and content of this subject matter. Second, we compared the categories from this taxonomy with the UMLS concepts that were identified. Though the UMLS offers benefits such as speed and breadth of coverage, the Body Listening and Self-Management Taxonomy is more consumer-centric. Third, the correlation matrix and network visualization demonstrated that there are natural areas of ambiguity and semantic relatedness in the meanings of the concepts in the Body Listening and Self-Management Taxonomy. Use of these visualizations can be helpful in practice settings, to help library and information science practitioners understand and resolve potential challenges in classification; in research, to characterize the structure of the conceptual space of health management; and in the development of consumer-centric health information retrieval systems. Conclusions A participatory platform can be employed to collect data concerning patient experiences of health management, which can in turn be used to develop new health knowledge resources or augment existing ones, as well as be incorporated into consumer-centric health information systems. PMID:28882809

The User Knows What to Call It: Incorporating Patient Voice Through User-Contributed Tags on a Participatory Platform About Health Management.

PubMed

Chen, Annie T; Carriere, Rachel M; Kaplan, Samantha Jan

2017-09-07

Body listening, described as the act of paying attention to the body's signals and cues, can be an important component of long-term health management. The aim of this study was to introduce and evaluate the Body Listening Project, an innovative effort to engage the public in the creation of a public resource-to leverage collective wisdom in the health domain. This project involved a website where people could contribute their experiences of and dialogue with others concerning body listening and self-management. This article presents an analysis of the tags contributed, with a focus on the value of these tags for knowledge organization and incorporation into consumer-friendly health information retrieval systems. First, we performed content analysis of the tags contributed, identifying a set of categories and refining the relational structure of the categories to develop a preliminary classification scheme, the Body Listening and Self-Management Taxonomy. Second, we compared the concepts in the Body Listening and Self-Management Taxonomy with concepts that were automatically identified from an extant health knowledge resource, the Unified Medical Language System (UMLS), to better characterize the information that participants contributed. Third, we employed visualization techniques to explore the concept space of the tags. A correlation matrix, based on the extent to which categories tended to be assigned to the same tags, was used to study the interrelatedness of the taxonomy categories. Then a network visualization was used to investigate structural relationships among the categories in the taxonomy. First, we proposed a taxonomy called the Body Listening and Self-Management Taxonomy, with four meta-level categories: (1) health management strategies, (2) concepts and states, (3) influencers, and (4) health-related information behavior. This taxonomy could inform future efforts to organize knowledge and content of this subject matter. Second, we compared the categories from this taxonomy with the UMLS concepts that were identified. Though the UMLS offers benefits such as speed and breadth of coverage, the Body Listening and Self-Management Taxonomy is more consumer-centric. Third, the correlation matrix and network visualization demonstrated that there are natural areas of ambiguity and semantic relatedness in the meanings of the concepts in the Body Listening and Self-Management Taxonomy. Use of these visualizations can be helpful in practice settings, to help library and information science practitioners understand and resolve potential challenges in classification; in research, to characterize the structure of the conceptual space of health management; and in the development of consumer-centric health information retrieval systems. A participatory platform can be employed to collect data concerning patient experiences of health management, which can in turn be used to develop new health knowledge resources or augment existing ones, as well as be incorporated into consumer-centric health information systems. ©Annie T Chen, Rachel M Carriere, Samantha Jan Kaplan. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 07.09.2017.

Meliponiculture in Quilombola communities of Ipiranga and Gurugi, Paraíba state, Brazil: an ethnoecological approach

PubMed Central

2014-01-01

Background The Quilombola communities of Ipiranga and Gurugi, located in Atlantic Rainforest in Southern of Paraíba state, have stories that are interwoven throughout time. The practice of meliponicultura has been carried out for generations in these social groups and provides an elaborate ecological knowledge based on native stingless bees, the melliferous flora and the management techniques used. The traditional knowledge that Quilombola have of stingless bees is of utmost importance for the establishment of conservation strategies for many species. Methods To deepen study concerning the ecological knowledge of the beekeepers, the method of participant observation together with structured and semi-structured interviews was used, as well as the collection of entomological and botanical categories of bees and plants mentioned. With the aim of recording the knowledge related to meliponiculture previously exercised by the residents, the method of the oral story was employed. Results and discussion Results show that the informants sampled possess knowledge of twelve categories of stingless bees (Apidae: Meliponini), classified according to morphological, behavioral and ecological characteristics. Their management techniques are represented by the making of traditional cortiço and the melliferous flora is composed of many species predominant in the Atlantic Rainforest. From recording the memories and recollections of the individuals, it was observed that an intricate system of beliefs has permeated the keeping of uruçu bees (Melipona scutellaris) for generations. Conclusion According to management techniques used by beekeepers, the keeping of stingless bees in the communities is considered a traditional activity that is embedded within a network of ecological knowledge and beliefs accumulated by generations over time, and is undergoing a process of transformation that provides new meanings to such knowledge, as can be observed in the practices of young people. PMID:24410767

Citizen science in hydrology and water resources: opportunities for knowledge generation, ecosystem service management, and sustainable development

NASA Astrophysics Data System (ADS)

Buytaert, Wouter; Zulkafli, Zed; Grainger, Sam; Acosta, Luis; Bastiaensen, Johan; De Bièvre, Bert; Bhusal, Jagat; Chanie, Tilashwork; Clark, Julian; Dewulf, Art; Foggin, Marc; Hannah, David; Hergarten, Christian; Isaeva, Aiganysh; Karpouzoglou, Timos; Pandey, Bhopal; Paudel, Deepak; Sharma, Keshav; Steenhuis, Tammo; Tilahun, Seifu; Van Hecken, Gert; Zhumanova, Munavar

2014-10-01

The participation of the general public in the research design, data collection and interpretation process together with scientists is often referred to as citizen science. While citizen science itself has existed since the start of scientific practice, developments in sensing technology, data processing and visualisation, and communication of ideas and results, are creating a wide range of new opportunities for public participation in scientific research. This paper reviews the state of citizen science in a hydrological context and explores the potential of citizen science to complement more traditional ways of scientific data collection and knowledge generation for hydrological sciences and water resources management. Although hydrological data collection often involves advanced technology, the advent of robust, cheap and low-maintenance sensing equipment provides unprecedented opportunities for data collection in a citizen science context. These data have a significant potential to create new hydrological knowledge, especially in relation to the characterisation of process heterogeneity, remote regions, and human impacts on the water cycle. However, the nature and quality of data collected in citizen science experiments is potentially very different from those of traditional monitoring networks. This poses challenges in terms of their processing, interpretation, and use, especially with regard to assimilation of traditional knowledge, the quantification of uncertainties, and their role in decision support. It also requires care in designing citizen science projects such that the generated data complement optimally other available knowledge. Lastly, we reflect on the challenges and opportunities in the integration of hydrologically-oriented citizen science in water resources management, the role of scientific knowledge in the decision-making process, and the potential contestation to established community institutions posed by co-generation of new knowledge.

Finding the Sweet Spot: Network Structures and Processes for Increased Knowledge Mobilization

ERIC Educational Resources Information Center

Briscoe, Patricia; Pollock, Katina; Campbell, Carol; Carr-Harris, Shasta

2015-01-01

The use of networks in public education is one of many knowledge mobilization (KMb) strategies utilized to promote evidence-based research into practice. However, challenges exist in the ability to mobilize knowledge through networks. The purpose of this paper is to explore how networks work. Data were collected from virtual discussions for an…

Do People Know I’m Poz?: Factors Associated with Knowledge of Serostatus among HIV-positive African Americans’ Social Network Members

PubMed Central

Hoover, Matthew A.; Green, Harold D.; Bogart, Laura M.; Wagner, Glenn J.; Mutchler, Matt G.; Galvan, Frank H.; McDavitt, Bryce

2015-01-01

We examined how functional social support, HIV-related discrimination, internalized HIV stigma, and social network structure and composition were cross-sectionally associated with network members’ knowledge of respondents’ serostatus among 244 HIV-positive African Americans in Los Angeles. Results of a generalized hierarchical linear model indicated people in respondents’ networks who were highly trusted, well-known to others (high degree centrality), HIV-positive, or sex partners were more likely to know respondents’ HIV serostatus; African American network members were less likely to know respondents’ serostatus, as were drug-using partners. Greater internalized stigma among respondents living with HIV was associated with less knowledge of their seropositivity within their social network whereas greater respondent-level HIV discrimination was associated with more knowledge of seropositivity within the network. Additional research is needed to understand the causal mechanisms and mediating processes associated with serostatus disclosure as well as the long-term consequences of disclosure and network members’ knowledge of respondents’ serostatus. PMID:25903505

Do People Know I'm Poz?: Factors Associated with Knowledge of Serostatus Among HIV-Positive African Americans' Social Network Members.

PubMed

Hoover, Matthew A; Green, Harold D; Bogart, Laura M; Wagner, Glenn J; Mutchler, Matt G; Galvan, Frank H; McDavitt, Bryce

2016-01-01

We examined how functional social support, HIV-related discrimination, internalized HIV stigma, and social network structure and composition were cross-sectionally associated with network members' knowledge of respondents' serostatus among 244 HIV-positive African Americans in Los Angeles. Results of a generalized hierarchical linear model indicated people in respondents' networks who were highly trusted, well-known to others (high degree centrality), HIV-positive, or sex partners were more likely to know respondents' HIV serostatus; African American network members were less likely to know respondents' serostatus, as were drug-using partners. Greater internalized stigma among respondents living with HIV was associated with less knowledge of their seropositivity within their social network whereas greater respondent-level HIV discrimination was associated with more knowledge of seropositivity within the network. Additional research is needed to understand the causal mechanisms and mediating processes associated with serostatus disclosure as well as the long-term consequences of disclosure and network members' knowledge of respondents' serostatus.

Dynamic robustness of knowledge collaboration network of open source product development community

NASA Astrophysics Data System (ADS)

Zhou, Hong-Li; Zhang, Xiao-Dong

2018-01-01

As an emergent innovative design style, open source product development communities are characterized by a self-organizing, mass collaborative, networked structure. The robustness of the community is critical to its performance. Using the complex network modeling method, the knowledge collaboration network of the community is formulated, and the robustness of the network is systematically and dynamically studied. The characteristics of the network along the development period determine that its robustness should be studied from three time stages: the start-up, development and mature stages of the network. Five kinds of user-loss pattern are designed, to assess the network's robustness under different situations in each of these three time stages. Two indexes - the largest connected component and the network efficiency - are used to evaluate the robustness of the community. The proposed approach is applied in an existing open source car design community. The results indicate that the knowledge collaboration networks show different levels of robustness in different stages and different user loss patterns. Such analysis can be applied to provide protection strategies for the key users involved in knowledge dissemination and knowledge contribution at different stages of the network, thereby promoting the sustainable and stable development of the open source community.

How Structure Shapes Dynamics: Knowledge Development in Wikipedia - A Network Multilevel Modeling Approach

PubMed Central

Halatchliyski, Iassen; Cress, Ulrike

2014-01-01

Using a longitudinal network analysis approach, we investigate the structural development of the knowledge base of Wikipedia in order to explain the appearance of new knowledge. The data consists of the articles in two adjacent knowledge domains: psychology and education. We analyze the development of networks of knowledge consisting of interlinked articles at seven snapshots from 2006 to 2012 with an interval of one year between them. Longitudinal data on the topological position of each article in the networks is used to model the appearance of new knowledge over time. Thus, the structural dimension of knowledge is related to its dynamics. Using multilevel modeling as well as eigenvector and betweenness measures, we explain the significance of pivotal articles that are either central within one of the knowledge domains or boundary-crossing between the two domains at a given point in time for the future development of new knowledge in the knowledge base. PMID:25365319

Inter-firm Networks, Organizational Learning and Knowledge Updating: An Empirical Study

NASA Astrophysics Data System (ADS)

Zhang, Su-rong; Wang, Wen-ping

In the era of knowledge-based economy which information technology develops rapidly, the rate of knowledge updating has become a critical factor for enterprises to gaining competitive advantage .We build an interactional theoretical model among inter-firm networks, organizational learning and knowledge updating thereby and demonstrate it with empirical study at last. The result shows that inter-firm networks and organizational learning is the source of knowledge updating.

A Datacenter Backstage: The Knowledge that Supports the Brazilian Seismic Network

NASA Astrophysics Data System (ADS)

Calhau, J.; Assumpcao, M.; Collaço, B.; Bianchi, M.; Pirchiner, M.

2015-12-01

Historically, Brazilian seismology never had a clear strategic vision about how its data should be acquired, evaluated, stored and shared. Without a data management plan, data (for any practical purpose) could be lost, resulting in a non-uniform coverage that will reduce any chance of local and international collaboration, i.e., data will never become scientific knowledge. Since 2009, huge efforts from four different institutions are establishing the new permanent Brazilian Seismographic Network (RSBR), mainly with resources from PETROBRAS, the Brazilian Government oil company. Four FDSN sub-networks currently compose RSBR, with a total of 80 permanent stations. BL and BR codes (from BRASIS subnet) with 47 stations maintained by University of Sao Paulo (USP) and University of Brasilia (UnB) respectively; NB code (RSISNE subnet), with 16 stations deployed by University of Rio Grande do Norte (UFRN); and ON code (RSIS subnet), with 18 stations operated by the National Observatory (ON) in Rio de Janeiro. Most stations transmit data in real-time via satellite or cell-phone links. Each node acquires its own stations locally, and data is real-time shared using SeedLink. Archived data is distributed via ArcLink and/or FDSNWS services. All nodes use the SeisComP3 system for real-time processing and as a levering back-end. Open-source solutions like Seiscomp3 require some homemade tools to be developed, to help solve the most common daily problems of a data management center: local magnitude into the real-time earthquake processor, website plugins, regional earthquake catalog, contribution with ISC catalog, quality-control tools, data request tools, etc. The main data products and community activities include: kml files, data availability plots, request charts, summer school courses, an Open Lab Day and news interviews. Finally, a good effort was made to establish BRASIS sub-network and the whole RSBR as a unified project, that serves as a communication channel between individuals operating local networks.

On Crowd-verification of Biological Networks

PubMed Central

Ansari, Sam; Binder, Jean; Boue, Stephanie; Di Fabio, Anselmo; Hayes, William; Hoeng, Julia; Iskandar, Anita; Kleiman, Robin; Norel, Raquel; O’Neel, Bruce; Peitsch, Manuel C.; Poussin, Carine; Pratt, Dexter; Rhrissorrakrai, Kahn; Schlage, Walter K.; Stolovitzky, Gustavo; Talikka, Marja

2013-01-01

Biological networks with a structured syntax are a powerful way of representing biological information generated from high density data; however, they can become unwieldy to manage as their size and complexity increase. This article presents a crowd-verification approach for the visualization and expansion of biological networks. Web-based graphical interfaces allow visualization of causal and correlative biological relationships represented using Biological Expression Language (BEL). Crowdsourcing principles enable participants to communally annotate these relationships based on literature evidences. Gamification principles are incorporated to further engage domain experts throughout biology to gather robust peer-reviewed information from which relationships can be identified and verified. The resulting network models will represent the current status of biological knowledge within the defined boundaries, here processes related to human lung disease. These models are amenable to computational analysis. For some period following conclusion of the challenge, the published models will remain available for continuous use and expansion by the scientific community. PMID:24151423

Translating knowledge into practice and policy: the role of knowledge networks in primary health care.

PubMed

Armstrong, Kylie; Kendall, Elizabeth

The translation of information into practice is a well-recognised challenge for the health sector. In the primary healthcare sector, the last decade has seen an explosion of information generated by health systems, universities and a range of other sources. Without a system for translating that knowledge into practice and sharing it in a comprehensible form, it will remain meaningless to most practitioners. We propose the establishment of Knowledge Networks as a promising method for supporting the rapid adoption and generation of health information within the primary health care sector to advance health care services. These networks will be particularly important to the implementation of the national reform agenda, responsive decision-making and the translation of new frameworks or competencies into practice. This paper describes how interdisciplinary Knowledge Networks could be established focusing on a number of priority health research areas. Local Knowledge Networks would be used as a platform to support a collaborative web of evidence designed to influence health policy and planning. Our experience with Knowledge Networks indicates that they must be comprised of health professionals from Divisions of General Practice, researchers, policy-makers, consumers, government and non-government sectors. This paper will describe these networks and show how they might support the translation of knowledge into practice, thus driving systematic and institutional change.

Exploring the Knowledge Structure of Nursing Care for Older Patients With Delirium: Keyword Network Analysis.

PubMed

Choi, Jung Eun; Kim, Mi So

2018-05-01

Prevention of delirium is considered a critical part of the agenda for patient safety and an indicator of healthcare quality for older patients. As the incidence rate of delirium for older patients has increased in recent years, there has been a significant expansion in knowledge relevant to nursing care. The purposes of this study were to analyze the knowledge structure and trends in nursing care for older adults with delirium based on a keyword network analysis, and to provide a foundation for future research. Data analysis showed that knowledge structure in this area consists of three themes of research: postoperative acute care for older patients with delirium, prevention of delirium for older patients in intensive care units, and safety management for the improvement of outcomes for patients with delirium. Through research trend analysis, we found that research on care for patients with delirium has achieved both quantitative and qualitative improvements over the last decades. Concerning future research, we propose the expansion of patient- and family-centered care, community care, specific nursing interventions, and the integration of new technology into care for patients with delirium. These results provide a reference framework for understanding and developing nursing care for older adults with delirium.

Agricultural biotechnology and its contribution to the global knowledge economy.

PubMed

Aerni, Philipp

2007-01-01

The theory of neoclassical welfare economics largely shaped international and national agricultural policies during the Cold War period. It treated technology as an exogenous factor that could boost agricultural productivity but not necessarily sustainable agriculture. New growth theory, the economic theory of the new knowledge economy, treats technological change as endogenous and argues that intangible assets such as human capital and knowledge are the drivers of sustainable economic development. In this context, the combined use of agricultural biotechnology and information technology has a great potential, not just to boost economic growth but also to empower people in developing countries and improve the sustainable management of natural resources. This article outlines the major ideas behind new growth theory and explains why agricultural economists and agricultural policy-makers still tend to stick to old welfare economics. Finally, the article uses the case of the Cassava Biotechnology Network (CBN) to illustrate an example of how new growth theory can be applied in the fight against poverty. CBN is a successful interdisciplinary crop research network that makes use of the new knowledge economy to produce new goods that empower the poor and improve the productivity and nutritional quality of cassava. It shows that the potential benefits of agricultural biotechnology go far beyond the already known productivity increases and pesticide use reductions of existing GM crops.

Knowledge Diffusion on Networks through the Game Strategy

NASA Astrophysics Data System (ADS)

Sun, Shu; Wu, Jiangning; Xuan, Zhaoguo

In this paper, we develop a knowledge diffusion model in which agents determine to give their knowledge to others according to some exchange strategies. The typical network namely small-world network is used for modeling, on which agents with knowledge are viewed as the nodes of the network and the edges are viewed as the social relationships for knowledge transmission. Such agents are permitted to interact with their neighbors repeatedly who have direct connections with them and accordingly change their strategies by choosing the most beneficial neighbors to diffuse knowledge. Two kinds of knowledge transmission strategies are proposed for the theoretical model based on the game theory and thereafter used in different simulations to examine the effect of the network structure on the knowledge diffusion effect. By analyses, two main observations can be found: One is that the simulation results are contrary to our intuition which agents would like to only accept but not share, thus they will maximize their benefit; another one is that the number of the agents acquired knowledge and the corresponding knowledge stock turn out to be independent of the percentage of those agents who choose to contribute their knowledge.

Secure Large-Scale Airport Simulations Using Distributed Computational Resources

NASA Technical Reports Server (NTRS)

McDermott, William J.; Maluf, David A.; Gawdiak, Yuri; Tran, Peter; Clancy, Dan (Technical Monitor)

2001-01-01

To fully conduct research that will support the far-term concepts, technologies and methods required to improve the safety of Air Transportation a simulation environment of the requisite degree of fidelity must first be in place. The Virtual National Airspace Simulation (VNAS) will provide the underlying infrastructure necessary for such a simulation system. Aerospace-specific knowledge management services such as intelligent data-integration middleware will support the management of information associated with this complex and critically important operational environment. This simulation environment, in conjunction with a distributed network of supercomputers, and high-speed network connections to aircraft, and to Federal Aviation Administration (FAA), airline and other data-sources will provide the capability to continuously monitor and measure operational performance against expected performance. The VNAS will also provide the tools to use this performance baseline to obtain a perspective of what is happening today and of the potential impact of proposed changes before they are introduced into the system.

Knowledge brokers in a knowledge network: the case of Seniors Health Research Transfer Network knowledge brokers.

PubMed

Conklin, James; Lusk, Elizabeth; Harris, Megan; Stolee, Paul

2013-01-09

The purpose of this paper is to describe and reflect on the role of knowledge brokers (KBs) in the Seniors Health Research Transfer Network (SHRTN). The paper reviews the relevant literature on knowledge brokering, and then describes the evolving role of knowledge brokering in this knowledge network. The description of knowledge brokering provided here is based on a developmental evaluation program and on the experiences of the authors. Data were gathered through qualitative and quantitative methods, analyzed by the evaluators, and interpreted by network members who participated in sensemaking forums. The results were fed back to the network each year in the form of formal written reports that were widely distributed to network members, as well as through presentations to the network's members. The SHRTN evaluation and our experiences as evaluators and KBs suggest that a SHRTN KB facilitates processes of learning whereby people are connected with tacit or explicit knowledge sources that will help them to resolve work-related challenges. To make this happen, KBs engage in a set of relational, technical, and analytical activities that help communities of practice (CoPs) to develop and operate, facilitate exchanges among people with similar concerns and interests, and help groups and individuals to create, explore, and apply knowledge in their practice. We also suggest that the role is difficult to define, emergent, abstract, episodic, and not fully understood. The KB role within this knowledge network has developed and matured over time. The KB adapts to the social and technical affordances of each situation, and fashions a unique and relevant process to create relationships and promote learning and change. The ability to work with teams and to develop relevant models and feasible approaches are critical KB skills. The KB is a leader who wields influence rather than power, and who is prepared to adopt whatever roles and approaches are needed to bring about a valuable result.

Research and application of knowledge resources network for product innovation.

PubMed

Li, Chuan; Li, Wen-qiang; Li, Yan; Na, Hui-zhen; Shi, Qian

2015-01-01

In order to enhance the capabilities of knowledge service in product innovation design service platform, a method of acquiring knowledge resources supporting for product innovation from the Internet and providing knowledge active push is proposed. Through knowledge modeling for product innovation based on ontology, the integrated architecture of knowledge resources network is put forward. The technology for the acquisition of network knowledge resources based on focused crawler and web services is studied. Knowledge active push is provided for users by user behavior analysis and knowledge evaluation in order to improve users' enthusiasm for participation in platform. Finally, an application example is illustrated to prove the effectiveness of the method.

Protecting drinkable water: an analysis of action plans and stakeholders' networks

NASA Astrophysics Data System (ADS)

Gascuel-Odoux, Chantal; Menard, Marjorie

2015-04-01

Since WFD the policy for protecting drinkable water has been enhanced in France. This policy establish the main components and the different steps for protecting drinkable water, and ask for defining and implementing an action plan for each contributing catchment. Despite ambitious objectives, the local implementation is difficult. Firstly there is a high diversity of stakeholders involved with local authorities, which are mainly: water agencies, agricultural chambers and consultants, authorities at regional and departmental levels. Most of the local authorities do not feel qualified enough for carrying out such a policy, as they are not really used to deal with technical and political issues related to agricultural diffuse pollutions. As a consequence assessed action plans are based on regulation and/or agri-environmental measures. More ambitious and complementary measures can be included, but without any support measure nor accurate objectives for their implementation. In the end, action plans reflect more a formal implementation of protection approaches than a search for efficiency by defining ambitious measures and the setting-up a consistent support scheme. The way stakeholders' networks mobilize knowledge have been analyzed based on ten case studies located in three different regions. Three local authorities profiles are defined: (1) the "passive" ones, not really convinced of the necessity to undertake actions against diffuse pollutions and/or having low level of knowledge to support local reflexion, that delegate project management; (2) the local authorities that support local protection approach but that, for different reasons, do not search for an effective action plan, and that only consider an improvement approach; (3) the local authorities that more rarely, aim at efficient actions, motivated by the urgent need of action for preserving threatened resources. According to these profiles, local authorities and their project coordinators will be looking for, more or less actively, mobilizing stakeholders' networks and knowledge that enable to build a strategic management. Reciprocally, institutional stakeholders push for more formal or demanding approaches, with most of the time low level of knowledge that could objectivize the relevance of action plans. This analysis contributes to help some key stakeholders, particularly local authorities, in building more efficient action plans.

Finding gene regulatory network candidates using the gene expression knowledge base.

PubMed

Venkatesan, Aravind; Tripathi, Sushil; Sanz de Galdeano, Alejandro; Blondé, Ward; Lægreid, Astrid; Mironov, Vladimir; Kuiper, Martin

2014-12-10

Network-based approaches for the analysis of large-scale genomics data have become well established. Biological networks provide a knowledge scaffold against which the patterns and dynamics of 'omics' data can be interpreted. The background information required for the construction of such networks is often dispersed across a multitude of knowledge bases in a variety of formats. The seamless integration of this information is one of the main challenges in bioinformatics. The Semantic Web offers powerful technologies for the assembly of integrated knowledge bases that are computationally comprehensible, thereby providing a potentially powerful resource for constructing biological networks and network-based analysis. We have developed the Gene eXpression Knowledge Base (GeXKB), a semantic web technology based resource that contains integrated knowledge about gene expression regulation. To affirm the utility of GeXKB we demonstrate how this resource can be exploited for the identification of candidate regulatory network proteins. We present four use cases that were designed from a biological perspective in order to find candidate members relevant for the gastrin hormone signaling network model. We show how a combination of specific query definitions and additional selection criteria derived from gene expression data and prior knowledge concerning candidate proteins can be used to retrieve a set of proteins that constitute valid candidates for regulatory network extensions. Semantic web technologies provide the means for processing and integrating various heterogeneous information sources. The GeXKB offers biologists such an integrated knowledge resource, allowing them to address complex biological questions pertaining to gene expression. This work illustrates how GeXKB can be used in combination with gene expression results and literature information to identify new potential candidates that may be considered for extending a gene regulatory network.

Plan characteristics and SSI enrollees' access to and quality of care in four TennCare MCOs.

PubMed

Hill, Steven C; Wooldridge, Judith

2002-10-01

To assess hypotheses about which managed care organization (MCO) characteristics affect access to care and quality of care--including access to specialists, providers' knowledge about disability, and coordination of care--for people with disabilities. Survey of blind/disabled Supplemental Security Income (SSI) enrollees in four MCOs serving TennCare, Tennessee's Medicaid managed care program, in Memphis, conducted from 1998 through spring 1999. We compared enrollee reports of access and quality across the four MCOs using regression methods, and we use case study methods to assess whether patterns both within and across MCOs are consistent with the hypotheses. We conducted computer-assisted telephone surveys and used regression analysis to compare access and quality controlling for enrollee characteristics. Although the four MCOs' characteristics varied, access to providers, coordination of care, and access to some services were generally similar across MCOs. Enrollees in one plan, the only MCO with a larger provider network and that paid physicians on a fee-for-service basis, reported their providers were more knowledgeable, and they had more secondary preventive care visits. Differences found in access to specialists and delays in approving care appear to be unrelated to characteristics reported by the MCOs, but instead may be related to how tightly utilization is reviewed. Plan networks, financial incentives, utilization management methods, and state requirements are important areas for further study, and, in the meantime, ongoing monitoring of SSI enrollees in each MCO may be important for detecting problems and successes.

Characterization of Emergent Data Networks Among Long-Tail Data

NASA Astrophysics Data System (ADS)

Elag, Mostafa; Kumar, Praveen; Hedstrom, Margaret; Myers, James; Plale, Beth; Marini, Luigi; McDonald, Robert

2014-05-01

Data curation underpins data-driven scientific advancements. It manages the information flux across multiple users throughout data life cycle as well as increases data sustainability and reusability. The exponential growth in data production spanning across the Earth Science involving individual and small research groups, which is termed as log-tail data, increases the data-knowledge latency among related domains. It has become clear that an advanced framework-agnostic metadata and ontologies for long-tail data is required to increase their visibility to each other, and provide concise and meaningful descriptions that reveal their connectivity. Despite the advancement that has been achieved by various sophisticated data management models in different Earth Science disciplines, it is not always straightforward to derive relationships among long-tail data. Semantic data clustering algorithms and pre-defined logic rules that are oriented toward prediction of possible data relationships, is one method to address these challenges. Our work advances the connectivity of related long-tail data by introducing the design for an ontology-based knowledge management system. In this work, we present the system architecture, its components, and illustrate how it can be used to scrutinize the connectivity among datasets. To demonstrate the capabilities of this "data network" prototype, we implemented this approach within the Sustainable Environment Actionable Data (SEAD) environment, an open-source semantic content repository that provides a RDF database for long-tail data, and show how emergent relationships among datasets can be identified.

Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers

PubMed Central

Andjelković, Miroslav; Tadić, Bosiljka; Mitrović Dankulov, Marija; Rajković, Milan; Melnik, Roderick

2016-01-01

The communication processes of knowledge creation represent a particular class of human dynamics where the expertise of individuals plays a substantial role, thus offering a unique possibility to study the structure of knowledge networks from online data. Here, we use the empirical evidence from questions-and-answers in mathematics to analyse the emergence of the network of knowledge contents (or tags) as the individual experts use them in the process. After removing extra edges from the network-associated graph, we apply the methods of algebraic topology of graphs to examine the structure of higher-order combinatorial spaces in networks for four consecutive time intervals. We find that the ranking distributions of the suitably scaled topological dimensions of nodes fall into a unique curve for all time intervals and filtering levels, suggesting a robust architecture of knowledge networks. Moreover, these networks preserve the logical structure of knowledge within emergent communities of nodes, labeled according to a standard mathematical classification scheme. Further, we investigate the appearance of new contents over time and their innovative combinations, which expand the knowledge network. In each network, we identify an innovation channel as a subgraph of triangles and larger simplices to which new tags attach. Our results show that the increasing topological complexity of the innovation channels contributes to network’s architecture over different time periods, and is consistent with temporal correlations of the occurrence of new tags. The methodology applies to a wide class of data with the suitable temporal resolution and clearly identified knowledge-content units. PMID:27171149

Nanotechnology knowledge diffusion: measuring the impact of the research networking and a strategy for improvement

NASA Astrophysics Data System (ADS)

Liu, Xuan; Jiang, Shan; Chen, Hsinchun; Larson, Catherine A.; Roco, Mihail C.

2014-09-01

Given the global increase in public funding for nanotechnology research and development, it is even more important to support projects with promising return on investment. A main return is the benefit to other researchers and to the entire field through knowledge diffusion, invention, and innovation. The social network of researchers is one of the channels through which this happens. This study considers the scientific publication network in the field of nanotechnology, and evaluates how knowledge diffusion through coauthorship and citations is affected in large institutions by the location and connectivity of individual researchers in the network. The relative position and connectivity of a researcher is measured by various social network metrics, including degree centrality, Bonacich Power centrality, structural holes, and betweenness centrality. Leveraging the Cox regression model, we analyzed the temporal relationships between knowledge diffusion and social network measures of researchers in five leading universities in the United States using papers published from 2000 to 2010. The results showed that the most significant effects on knowledge diffusion in the field of nanotechnology were from the structural holes of the network and the degree centrality of individual researchers. The data suggest that a researcher has potential to perform better in knowledge creation and diffusion on boundary-spanning positions between different communities and when he or she has a high level of connectivity in the knowledge network. These observations may lead to improved strategies in planning, conducting, and evaluating multidisciplinary nanotechnology research. The paper also identifies the researchers who made most significant contributions to nanotechnology knowledge diffusion in the networks of five leading U.S. universities.

Sociospatial knowledge networks: appraising community as place.

PubMed

Skelly, Anne H; Arcury, Thomas A; Gesler, Wilbert M; Cravey, Altha J; Dougherty, Molly C; Washburn, Sarah A; Nash, Sally

2002-04-01

This article introduces a new theory of geographical analysis, sociospatial knowledge networks, for examining and understanding the spatial aspects of health knowledge (i.e., exactly where health beliefs and knowledge coincide with other support in the community). We present an overview of the theory of sociospatial knowledge networks and an example of how it is being used to guide an ongoing ethnographic study of health beliefs, knowledge, and knowledge networks in a rural community of African Americans, Latinos, and European Americans at high risk for, but not diagnosed with, type 2 diabetes mellitus. We believe that the geographical approach to understanding health beliefs and knowledge and how people acquire health information presented here is one that could serve other communities and community health practitioners working to improve chronic disease outcomes in diverse local environments. Copyright 2002 Wiley Periodicals, Inc.

Simulation and management games for training command and control in emergencies.

PubMed

Levi, Leon; Bregman, David

2003-01-01

The aim of our project was to introduce and implement simulation techniques in a problematic field of increasing health care system preparedness for disasters. This field was chosen as knowledge is gained by few experienced staff members who need to disperse it to others during the busy routine work of the system personnel. Knowledge management techniques ranging from classifying the current data, centralized organizational knowledge storage and using it for decision making and dispersing it through the organization--were used in this project. In the first stage we analyzed the current system of building a preparedness protocol (set of orders). We identified the pitfalls of changing personnel and loosing knowledge gained through lessons from local and national experience. For this stage we developed a database of resources and objects (casualties) to be used in the simulation in different possibilities. One of those was the differentiation between drills with trainer and those in front of computers enable to set the needed solution. The model rules for different scenarios of multi-casualty incidents from conventional warfare trauma to combined chemical/toxicological as well as, levels of care pre and inside hospitals--were incorporated to the database management system (we used Microsoft Access' DBMS). The hardware for management game was comprised of serial computers with network and possibility of projection of scenes. For prehospital phase the possibility of portable PC's and connections to central server was used to assess bidirectional flow of information. Simulation software (ARENA) and graphical interfase (Visual Basic, GUI) as shown in the attached figure. We hereby conclude that our system provides solutions which are in use in different levels of healthcare system to assess and improve management command and control for different scenarios of multi-casualty incidents.

Supporting interoperability of collaborative networks through engineering of a service-based Mediation Information System (MISE 2.0)

NASA Astrophysics Data System (ADS)

Benaben, Frederick; Mu, Wenxin; Boissel-Dallier, Nicolas; Barthe-Delanoe, Anne-Marie; Zribi, Sarah; Pingaud, Herve

2015-08-01

The Mediation Information System Engineering project is currently finishing its second iteration (MISE 2.0). The main objective of this scientific project is to provide any emerging collaborative situation with methods and tools to deploy a Mediation Information System (MIS). MISE 2.0 aims at defining and designing a service-based platform, dedicated to initiating and supporting the interoperability of collaborative situations among potential partners. This MISE 2.0 platform implements a model-driven engineering approach to the design of a service-oriented MIS dedicated to supporting the collaborative situation. This approach is structured in three layers, each providing their own key innovative points: (i) the gathering of individual and collaborative knowledge to provide appropriate collaborative business behaviour (key point: knowledge management, including semantics, exploitation and capitalisation), (ii) deployment of a mediation information system able to computerise the previously deduced collaborative processes (key point: the automatic generation of collaborative workflows, including connection with existing devices or services) (iii) the management of the agility of the obtained collaborative network of organisations (key point: supervision of collaborative situations and relevant exploitation of the gathered data). MISE covers business issues (through BPM), technical issues (through an SOA) and agility issues of collaborative situations (through EDA).

Knowledge translation in rehabilitation engineering research and development: a knowledge ecosystem framework.

PubMed

Chau, Tom; Moghimi, Saba; Popovic, Milos R

2013-01-01

Rehabilitation engineering is concerned with technology innovations and technology-mediated treatments for the improvement of quality of care and quality of life of individuals with disability. Unlike many other fields of health research, the knowledge translation (KT) cycle of rehabilitation engineering research and development (R&D) is often considered incomplete until a technology product or technology-facilitated therapy is available to target clientele. As such, the KT journey of rehabilitation engineering R&D is extremely challenging, necessarily involving knowledge exchange among numerous players across multiple sectors. In this article, we draw on recent literature about the knowledge trichotomy in technology-based rehabilitation R&D and propose a knowledge ecosystem to frame the rehabilitation engineering KT process from need to product. Identifying the principal process of the ecosystem as one of knowledge flow, we elucidate the roles of repository and networked knowledge, identify key consumers and producers in a trinity of communities of practice, and draw on knowledge management literature to describe different knowledge flows. The article concludes with instantiations of this knowledge ecosystem for 2 local rehabilitation engineering research-development-commercialization endeavors. Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Klimanavigator - Climate Navigator - Gateway to climate knowledge in Germany

NASA Astrophysics Data System (ADS)

Schuck-Zöller, Susanne

2013-04-01

Objective More than 50 German research institutions and networks are represented on www.klimanavigator.de, a common platform, where information about their work, and the latest findings from climate research and adaptation can be found. Thus Klimanavigator as a gateway to climate knowledge provides a information portal for those who have to respond to climate change. The internet portal gives an overview of the present state of research and is estimated as a decision support tool for appropriate mitigation and adaptation measures. Target Groups The portal collects the German climate research institutions to publish their scientific knowledge in a non-scientific language. Economists, policymakers, administration and the media are bound to find the names of scientific experts and institutions by an elaborated research tool. Methodology The chapter "Dossiers" is edited by the Klimanavigator-Coordinator CSC. It gathers information to a special issue looked upon from various points of view. Publications of outstanding German scientists are presented side by side, current knowledge is being synthesized, scientifically reviewed and disseminated. The latest news from climate and adaptation research is presented in an own chapter, dedicated to the press releases of the portal members. Via RSS-feed the press releases are collected from the different partner institutions. Thirdly, portraits of the member institutions, that are individually edited by themselves, draw a map of science in Germany and help to find appropriate cooperation partners. For the future further development is being planned. Common Management Klimanavigator is being managed by the partners in common. The main decisions concerning the concept and shape of the portal are made by the partners' assembly. An elected editorial committee decides about the content between the assemblies. The Climate Service Center (part of the Helmholtz-Zentrum Geesthacht) concentrates on facilitating the cooperation, and delivering the technical support. Results/Outcome/Products Map and navigator of climate and adaptation science in Germany Representation of science in Germany and Germany as a country of science Synthesis of knowledge Network of science institutions and projects Decision support tool

Predicting links based on knowledge dissemination in complex network

NASA Astrophysics Data System (ADS)

Zhou, Wen; Jia, Yifan

2017-04-01

Link prediction is the task of mining the missing links in networks or predicting the next vertex pair to be connected by a link. A lot of link prediction methods were inspired by evolutionary processes of networks. In this paper, a new mechanism for the formation of complex networks called knowledge dissemination (KD) is proposed with the assumption of knowledge disseminating through the paths of a network. Accordingly, a new link prediction method-knowledge dissemination based link prediction (KDLP)-is proposed to test KD. KDLP characterizes vertex similarity based on knowledge quantity (KQ) which measures the importance of a vertex through H-index. Extensive numerical simulations on six real-world networks demonstrate that KDLP is a strong link prediction method which performs at a higher prediction accuracy than four well-known similarity measures including common neighbors, local path index, average commute time and matrix forest index. Furthermore, based on the common conclusion that an excellent link prediction method reveals a good evolving mechanism, the experiment results suggest that KD is a considerable network evolving mechanism for the formation of complex networks.

Research and Application of Knowledge Resources Network for Product Innovation

PubMed Central

Li, Chuan; Li, Wen-qiang; Li, Yan; Na, Hui-zhen; Shi, Qian

2015-01-01

In order to enhance the capabilities of knowledge service in product innovation design service platform, a method of acquiring knowledge resources supporting for product innovation from the Internet and providing knowledge active push is proposed. Through knowledge modeling for product innovation based on ontology, the integrated architecture of knowledge resources network is put forward. The technology for the acquisition of network knowledge resources based on focused crawler and web services is studied. Knowledge active push is provided for users by user behavior analysis and knowledge evaluation in order to improve users' enthusiasm for participation in platform. Finally, an application example is illustrated to prove the effectiveness of the method. PMID:25884031

Toward an Understanding of Citywide Urban Environmental Governance: An Examination of Stewardship Networks in Baltimore and Seattle.

PubMed

Romolini, Michele; Morgan Grove, J; Ventriss, Curtis L; Koliba, Christopher J; Krymkowski, Daniel H

2016-08-01

Efforts to create more sustainable cities are evident in the proliferation of sustainability policies in cities worldwide. It has become widely proposed that the success of these urban sustainability initiatives will require city agencies to partner with, and even cede authority to, organizations from other sectors and levels of government. Yet the resulting collaborative networks are often poorly understood, and the study of large whole networks has been a challenge for researchers. We believe that a better understanding of citywide environmental governance networks can inform evaluations of their effectiveness, thus contributing to improved environmental management. Through two citywide surveys in Baltimore and Seattle, we collected data on the attributes of environmental stewardship organizations and their network relationships. We applied missing data treatment approaches and conducted social network and comparative analyses to examine (a) the organizational composition of the network, and (b) how information and knowledge are shared throughout the network. Findings revealed similarities in the number of actors and their distribution across sectors, but considerable variation in the types and locations of environmental stewardship activities, and in the number and distribution of network ties in the networks of each city. We discuss the results and potential implications of network research for urban sustainability governance.

An IEEE 1451.1 Architecture for ISHM Applications

NASA Technical Reports Server (NTRS)

Morris, Jon A.; Turowski, Mark; Schmalzel, John L.; Figueroa, Jorge F.

2007-01-01

The IEEE 1451.1 Standard for a Smart Transducer Interface defines a common network information model for connecting and managing smart elements in control and data acquisition networks using network-capable application processors (NCAPs). The Standard is a network-neutral design model that is easily ported across operating systems and physical networks for implementing complex acquisition and control applications by simply plugging in the appropriate network level drivers. To simplify configuration and tracking of transducer and actuator details, the family of 1451 standards defines a Transducer Electronic Data Sheet (TEDS) that is associated with each physical element. The TEDS contains all of the pertinent information about the physical operations of a transducer (such as operating regions, calibration tables, and manufacturer information), which the NCAP uses to configure the system to support a specific transducer. The Integrated Systems Health Management (ISHM) group at NASA's John C. Stennis Space Center (SSC) has been developing an ISHM architecture that utilizes IEEE 1451.1 as the primary configuration and data acquisition mechanism for managing and collecting information from a network of distributed intelligent sensing elements. This work has involved collaboration with other NASA centers, universities and aerospace industries to develop IEEE 1451.1 compliant sensors and interfaces tailored to support health assessment of complex systems. This paper and presentation describe the development and implementation of an interface for the configuration, management and communication of data, information and knowledge generated by a distributed system of IEEE 1451.1 intelligent elements monitoring a rocket engine test system. In this context, an intelligent element is defined as one incorporating support for the IEEE 1451.x standards and additional ISHM functions. Our implementation supports real-time collection of both measurement data (raw ADC counts and converted engineering units) and health statistics produced by each intelligent element. The handling of configuration, calibration and health information is automated by using the TEDS in combination with other electronic data sheets extensions to convey health parameters. By integrating the IEEE 1451.1 Standard for a Smart Transducer Interface with ISHM technologies, each element within a complex system becomes a highly flexible computation engine capable of self-validation and performing other measures of the quality of information it is producing.

A Reinforcement Sensor Embedded Vertical Handoff Controller for Vehicular Heterogeneous Wireless Networks

PubMed Central

Li, Limin; Xu, Yubin; Soong, Boon-Hee; Ma, Lin

2013-01-01

Vehicular communication platforms that provide real-time access to wireless networks have drawn more and more attention in recent years. IEEE 802.11p is the main radio access technology that supports communication for high mobility terminals, however, due to its limited coverage, IEEE 802.11p is usually deployed by coupling with cellular networks to achieve seamless mobility. In a heterogeneous cellular/802.11p network, vehicular communication is characterized by its short time span in association with a wireless local area network (WLAN). Moreover, for the media access control (MAC) scheme used for WLAN, the network throughput dramatically decreases with increasing user quantity. In response to these compelling problems, we propose a reinforcement sensor (RFS) embedded vertical handoff control strategy to support mobility management. The RFS has online learning capability and can provide optimal handoff decisions in an adaptive fashion without prior knowledge. The algorithm integrates considerations including vehicular mobility, traffic load, handoff latency, and network status. Simulation results verify that the proposed algorithm can adaptively adjust the handoff strategy, allowing users to stay connected to the best network. Furthermore, the algorithm can ensure that RSUs are adequate, thereby guaranteeing a high quality user experience. PMID:24193101

Towards the creation of a European Network of Earth Observation Networks within GEO. The ConnectinGEO project.

NASA Astrophysics Data System (ADS)

Masó, Joan; Serral, Ivette; Menard, Lionel; Wald, Lucien; Nativi, Stefano; Plag, Hans-Peter; Jules-Plag, Shelley; Nüst, Daniel; Jirka, Simon; Pearlman, Jay; De Maziere, Martine

2015-04-01

ConnectinGEO (Coordinating an Observation Network of Networks EnCompassing saTellite and IN-situ to fill the Gaps in European Observations" is a new H2020 Coordination and Support Action with the primary goal of linking existing Earth Observation networks with science and technology (S&T) communities, the industry sector, the Group on Earth Observations (GEO), and Copernicus. ConnectinGEO aims to facilitate a broader and more accessible knowledge base to support the needs of GEO, its Societal Benefit Areas (SBAs) and the users of the Global Earth Observing System of Systems (GEOSS). A broad range of subjects from climate, natural resources and raw materials, to the emerging UN Sustainable Development Goals (SDGs) will be addressed. The project will generate a prioritized list of critical gaps within available observation data and models to translate observations into practice-relevant knowledge, based on stakeholder consultation and systematic analysis. Ultimately, it will increase coherency of European observation networks, increase the use of Earth observations for assessments and forecasts and inform the planning for future observation systems. ConnectinGEO will initiate a European Network of Earth Observation Networks (ENEON) that will encompass space-based, airborne and in-situ observations networks. ENEON will be composed by project partners representing thematic observation networks along with the GEOSS Science and Technology Stakeholder Network, GEO Communities of Practices, Copernicus services, Sentinel missions and in-situ support data representatives, representatives of the space-based, airborne and in-situ observations European networks (e.g. EPOS, EMSO and GROOM, etc), representatives of the industry sector and European and national funding agencies, in particular those participating in the future ERA-PlaNET. At the beginning, the ENEON will be created and managed by the project. Then the management will be transferred to the network itself to ensure its future continuity. ConnectinGEO's main goal in ENEON is to mature a consultation complemented by a systematic analysis of available data and metadata, which will draw for the first time a coherent picture of the variety of used data interfaces, policies and indicators. This way, the project will stimulate a harmonized and coherent coverage of the European EO networks, reemphasizing the political strategic targets, create opportunities for SMEs to develop products based on the current networks, and open avenue for industry to participate in investments addressing the identified high-priority gaps. The project starts in February 2015 and will last two years. We will present the five threads of the project for gap analysis in the Earth observation networks: global requirements and goals, international research programs, consultation process, systematic analysis of existing data platforsm and industry challenges. The presentation will provide both an overview of the network concepts and approaches and discuss participation of the broader scientific community of data providers and users.

Establishment of a hydrological monitoring network in a tropical African catchment: An integrated participatory approach

NASA Astrophysics Data System (ADS)

Gomani, M. C.; Dietrich, O.; Lischeid, G.; Mahoo, H.; Mahay, F.; Mbilinyi, B.; Sarmett, J.

Sound decision making for water resources management has to be based on good knowledge of the dominant hydrological processes of a catchment. This information can only be obtained through establishing suitable hydrological monitoring networks. Research catchments are typically established without involving the key stakeholders, which results in instruments being installed at inappropriate places as well as at high risk of theft and vandalism. This paper presents an integrated participatory approach for establishing a hydrological monitoring network. We propose a framework with six steps beginning with (i) inception of idea; (ii) stakeholder identification; (iii) defining the scope of the network; (iv) installation; (v) monitoring; and (vi) feedback mechanism integrated within the participatory framework. The approach is illustrated using an example of the Ngerengere catchment in Tanzania. In applying the approach, the concept of establishing the Ngerengere catchment monitoring network was initiated in 2008 within the Resilient Agro-landscapes to Climate Change in Tanzania (ReACCT) research program. The main stakeholders included: local communities; Sokoine University of Agriculture; Wami Ruvu Basin Water Office and the ReACCT Research team. The scope of the network was based on expert experience in similar projects and lessons learnt from literature review of similar projects from elsewhere integrated with local expert knowledge. The installations involved reconnaissance surveys, detailed surveys, and expert consultations to identify best sites. First, a Digital Elevation Model, land use, and soil maps were used to identify potential monitoring sites. Local and expert knowledge was collected on flow regimes, indicators of shallow groundwater plant species, precipitation pattern, vegetation, and soil types. This information was integrated and used to select sites for installation of an automatic weather station, automatic rain gauges, river flow gauging stations, flow measurement sites and shallow groundwater wells. The network is now used to monitor hydro-meteorological parameters in collaboration with key stakeholders in the catchment. Preliminary results indicate that the network is working well. The benefits of this approach compared to conventional narrow scientific/technical approaches have been shown by gaining rapid insight into the hydrology of the catchment, identifying best sites for the instruments; and voluntary participation of stakeholders in installation, monitoring and safeguarding the installations. This approach has proved simple yet effective and yielded good results. Based on this experience gained in applying the approach in establishing the Ngerengere catchment monitoring network, we conclude that the integrated participatory approach helps to assimilate local and expert knowledge in catchments monitoring which consequently results in: (i) identifying best sites for the hydrologic monitoring; (ii) instilling the sense of ownership; (iii) providing security of the installed network; and (iv) minimizing costs for installation and monitoring.

Knowledge brokers in a knowledge network: the case of Seniors Health Research Transfer Network knowledge brokers

PubMed Central

2013-01-01

Background The purpose of this paper is to describe and reflect on the role of knowledge brokers (KBs) in the Seniors Health Research Transfer Network (SHRTN). The paper reviews the relevant literature on knowledge brokering, and then describes the evolving role of knowledge brokering in this knowledge network. Methods The description of knowledge brokering provided here is based on a developmental evaluation program and on the experiences of the authors. Data were gathered through qualitative and quantitative methods, analyzed by the evaluators, and interpreted by network members who participated in sensemaking forums. The results were fed back to the network each year in the form of formal written reports that were widely distributed to network members, as well as through presentations to the network’s members. Results The SHRTN evaluation and our experiences as evaluators and KBs suggest that a SHRTN KB facilitates processes of learning whereby people are connected with tacit or explicit knowledge sources that will help them to resolve work-related challenges. To make this happen, KBs engage in a set of relational, technical, and analytical activities that help communities of practice (CoPs) to develop and operate, facilitate exchanges among people with similar concerns and interests, and help groups and individuals to create, explore, and apply knowledge in their practice. We also suggest that the role is difficult to define, emergent, abstract, episodic, and not fully understood. Conclusions The KB role within this knowledge network has developed and matured over time. The KB adapts to the social and technical affordances of each situation, and fashions a unique and relevant process to create relationships and promote learning and change. The ability to work with teams and to develop relevant models and feasible approaches are critical KB skills. The KB is a leader who wields influence rather than power, and who is prepared to adopt whatever roles and approaches are needed to bring about a valuable result. PMID:23302517

Implementation of WirelessHART in the NS-2 Simulator and Validation of Its Correctness

PubMed Central

Zand, Pouria; Mathews, Emi; Havinga, Paul; Stojanovski, Spase; Sisinni, Emiliano; Ferrari, Paolo

2014-01-01

One of the first standards in the wireless sensor networks domain, WirelessHART (HART (Highway Addressable Remote Transducer)), was introduced to address industrial process automation and control requirements. This standard can be used as a reference point to evaluate other wireless protocols in the domain of industrial monitoring and control. This makes it worthwhile to set up a reliable WirelessHART simulator in order to achieve that reference point in a relatively easy manner. Moreover, it offers an alternative to expensive testbeds for testing and evaluating the performance of WirelessHART. This paper explains our implementation of WirelessHART in the NS-2 network simulator. According to our knowledge, this is the first implementation that supports the WirelessHART network manager, as well as the whole stack (all OSI (Open Systems Interconnection model) layers) of the WirelessHART standard. It also explains our effort to validate the correctness of our implementation, namely through the validation of the implementation of the WirelessHART stack protocol and of the network manager. We use sniffed traffic from a real WirelessHART testbed installed in the Idrolab plant for these validations. This confirms the validity of our simulator. Empirical analysis shows that the simulated results are nearly comparable to the results obtained from real networks. We also demonstrate the versatility and usability of our implementation by providing some further evaluation results in diverse scenarios. For example, we evaluate the performance of the WirelessHART network by applying incremental interference in a multi-hop network. PMID:24841245

A Bayesian network model to assess the public health risk associated with wet weather sewer overflows discharging into waterways.

PubMed

Goulding, R; Jayasuriya, N; Horan, E

2012-10-15

Overflows from sanitary sewers during wet weather, which occur when the hydraulic capacity of the sewer system is exceeded, are considered a potential threat to the ecological and public health of the waterways which receive these overflows. As a result, water retailers in Australia and internationally commit significant resources to manage and abate sewer overflows. However, whilst some studies have contributed to an increased understanding of the impacts and risks associated with these events, they are relatively few in number and there still is a general lack of knowledge in this area. A Bayesian network model to assess the public health risk associated with wet weather sewer overflows is presented in this paper. The Bayesian network approach is shown to provide significant benefits in the assessment of public health risks associated with wet weather sewer overflows. In particular, the ability for the model to account for the uncertainty inherent in sewer overflow events and subsequent impacts through the use of probabilities is a valuable function. In addition, the paper highlights the benefits of the probabilistic inference function of the Bayesian network in prioritising management options to minimise public health risks associated with sewer overflows. Copyright © 2012. Published by Elsevier Ltd.

Evaluation of an E-learning resource on approach to the first unprovoked seizure.

PubMed

Le Marne, Fleur A; McGinness, Hannah; Slade, Rob; Cardamone, Michael; Balbir Singh, Shirleen; Connolly, Anne M; Bye, Ann Me

2016-09-01

To develop and evaluate an online educational package instructing paediatricians and trainees in the diagnosis and management of a first unprovoked seizure in children. The E-learning content was created following a comprehensive literature review that referenced current international guidelines. Rigorous consultation with local paediatric neurologists, paediatricians and epilepsy nurses was undertaken. A series of learning modules was created and sequenced to reflect steps needed to achieve optimal diagnosis and management in a real-life situation of a child presenting with a paroxysmal event. Paediatric registrars and advanced trainees from the Sydney Children's Hospitals Network were assessed before and after using the E-learning Resource. Measures included general epilepsy knowledge, case-based scenario knowledge; self-rated measures of satisfaction with instruction and confidence regarding clinical approach to the child with first unprovoked seizure; and open ended questions evaluating the usefulness of the E-learning resource. Performance on measures of general epilepsy knowledge and on the seizure-related case scenarios improved significantly following completion of the E-learning as did self-rated satisfaction with instruction and confidence across all aspects of managing first seizure. The E-learning resource has been validated as a useful educational resource regarding the first afebrile unprovoked seizure for paediatricians. © 2016 Paediatrics and Child Health Division (The Royal Australasian College of Physicians).

A systematic review and meta-analysis of trials of social network interventions in type 2 diabetes.

PubMed

Spencer-Bonilla, Gabriela; Ponce, Oscar J; Rodriguez-Gutierrez, Rene; Alvarez-Villalobos, Neri; Erwin, Patricia J; Larrea-Mantilla, Laura; Rogers, Anne; Montori, Victor M

2017-08-21

In the care of patients with type 2 diabetes, self-management is emphasised and studied while theory and observations suggest that patients also benefit from social support. We sought to assess the effect of social network interventions on social support, glycaemic control and quality of life in patients with type 2 diabetes. We searched Ovid MEDLINE, Ovid EBM Reviews, Cochrane Central Register of Controlled Trials, EMBASE, PsycINFO and CINAHL through April 2017 for randomised clinical trials (RCTs) of social network interventions in patients with type 2 diabetes. Reviewers working independently and in duplicate assessed eligibility and risk of bias, and extracted data from eligible RCTs. We pooled estimates using inverse variance random effects meta-analysis. We found 19 eligible RCTs enrolling 2319 participants. Social network interventions were commonly based on individual behaviour change rather than social or interpersonal theories of self-management, were educational, and sought to engage social network members for their knowledge and experience. Interventions improved social support (0.74 SD (95% CI 0.32 to 1.15), I 2 =89%, 8 RCTs) and haemoglobin A1c at 3 months (-0.25 percentage points (95% CI -0.40 to -0.11), I 2 =12%, 9 RCTs), but not quality of life. Despite a compelling theoretical base, researchers have only minimally studied the value of interventions targeting patients' social networks on diabetes care. Although the body of evidence to date is limited, and based on individual behaviour change theories, the results are promising. This review challenges the scientific community to design and test theory-based interventions that go beyond self-management approaches to focus on the largely untapped potential of social networks to improve diabetes care. CRD42016036117. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Robustness of risk maps and survey networks to knowledge gaps about a new invasive pest.

PubMed

Yemshanov, Denys; Koch, Frank H; Ben-Haim, Yakov; Smith, William D

2010-02-01

In pest risk assessment it is frequently necessary to make management decisions regarding emerging threats under severe uncertainty. Although risk maps provide useful decision support for invasive alien species, they rarely address knowledge gaps associated with the underlying risk model or how they may change the risk estimates. Failure to recognize uncertainty leads to risk-ignorant decisions and miscalculation of expected impacts as well as the costs required to minimize these impacts. Here we use the information gap concept to evaluate the robustness of risk maps to uncertainties in key assumptions about an invading organism. We generate risk maps with a spatial model of invasion that simulates potential entries of an invasive pest via international marine shipments, their spread through a landscape, and establishment on a susceptible host. In particular, we focus on the question of how much uncertainty in risk model assumptions can be tolerated before the risk map loses its value. We outline this approach with an example of a forest pest recently detected in North America, Sirex noctilio Fabricius. The results provide a spatial representation of the robustness of predictions of S. noctilio invasion risk to uncertainty and show major geographic hotspots where the consideration of uncertainty in model parameters may change management decisions about a new invasive pest. We then illustrate how the dependency between the extent of uncertainties and the degree of robustness of a risk map can be used to select a surveillance network design that is most robust to knowledge gaps about the pest.

A Proposed Methodology to Assess the Quality of Public Use Management in Protected Areas

NASA Astrophysics Data System (ADS)

Muñoz-Santos, Maria; Benayas, Javier

2012-07-01

In recent years, the goal of nature preservation has faced, almost worldwide, an increase in the number of visitors who are interested in experiencing protected areas resources, landscapes and stories. Spain is a good example of this process. The rapidly increasing numbers of visitors have prompted administrations and managers to offer and develop a broad network of facilities and programs in order to provide these visitors with information, knowledge and recreation. But, are we doing it the best way? This research focuses on developing and applying a new instrument for evaluating the quality of visitor management in parks. Different areas are analyzed with this instrument (78 semi-quantitative indicators): planning and management capacity (planning, funding, human resources), monitoring, reception, information, interpretation, environmental education, training, participation and volunteer's programs. Thus, we attempt to gain a general impression of the development of the existing management model, detecting strengths and weaknesses. Although Spain's National Parks constituted the specific context within which to develop the evaluation instrument, the design thereof is intended to provide a valid, robust and flexible method for application to any system, network or set of protected areas in other countries. This paper presents the instrument developed, some results obtained following its application to Spanish National parks, along with a discussion on the limits and validity thereof.

A proposed methodology to assess the quality of public use management in protected areas.

PubMed

Muñoz-Santos, Maria; Benayas, Javier

2012-07-01

In recent years, the goal of nature preservation has faced, almost worldwide, an increase in the number of visitors who are interested in experiencing protected areas resources, landscapes and stories. Spain is a good example of this process. The rapidly increasing numbers of visitors have prompted administrations and managers to offer and develop a broad network of facilities and programs in order to provide these visitors with information, knowledge and recreation. But, are we doing it the best way? This research focuses on developing and applying a new instrument for evaluating the quality of visitor management in parks. Different areas are analyzed with this instrument (78 semi-quantitative indicators): planning and management capacity (planning, funding, human resources), monitoring, reception, information, interpretation, environmental education, training, participation and volunteer's programs. Thus, we attempt to gain a general impression of the development of the existing management model, detecting strengths and weaknesses. Although Spain's National Parks constituted the specific context within which to develop the evaluation instrument, the design thereof is intended to provide a valid, robust and flexible method for application to any system, network or set of protected areas in other countries. This paper presents the instrument developed, some results obtained following its application to Spanish National parks, along with a discussion on the limits and validity thereof.

An International Knowledge Building Network for Sustainable Curriculum and Pedagogical Innovation

ERIC Educational Resources Information Center

Laferrière, Thérèse; Law, Nancy; Montané, Mireia

2012-01-01

This paper presents the results of the first phase (2007-2009) of a design experiment, the Knowledge Building International Project (KBIP), in which K-12 teachers from several countries collaborate as a loosely coupled network of networks with a common goal--to implement technology-supported knowledge building jointly across their classrooms.…

Designing for knowledge: bridging socio-hydrological monitoring and beyond

NASA Astrophysics Data System (ADS)

Mao, F.; Clark, J.; Buytaert, W.; Ochoa-Tocachi, B. F.; Hannah, D. M.

2016-12-01

Many methods and applications have been developed to research socio-hydrological systems, such as participatory monitoring, environmental big data processing and sensor network data transmission. However, these data-centred activities are insufficient to guarantee successful knowledge co-generation, decision making or governance. This research suggests a shift of attentions in designing socio-hydrological monitoring tools, from designing for data to designing for knowledge (DfK). Compared to the former strategy, DfK has at least three features as follows. (1) Why monitor? DfK demands the data produced by the newly introduced monitoring application to have potentials to generate socio-hydrological knowledge that supports decision making or management. It means that when designing a monitoring tool, we should not only answer how to collect data, but also questions such as how to best use the collected data in the form of knowledge. (2) What is the role of monitoring? DfK admits that the socio-hydrological data and knowledge generated by monitoring is just one of many kinds to support decision making and management. It means that the importance of monitoring and scientific evidence should not be overestimated, and knowledge cogeneration and synthesis should be considered in advance in the monitoring design process. (3) Who participate? DfK implies a wider engagement of stakeholders, which is not restricted between volunteers as data collectors and providers, and scientist and researcher communities as main data users. It requires a broader consideration of users, including not only data collectors, processors and interpreters, but also local and indigenous knowledge providers, and decision makers who use the knowledge and data. In summary, this research proposes a knowledge-centred strategy in designing participatory socio-hydrological monitoring tools, in order to make monitoring more useful and effective.

Observation-well network for collection of ground-water level data in Massachusetts

USGS Publications Warehouse

Socolow, Roy S.

1994-01-01

Aquifers--water-bearing deposits of sand and gravel, glacial till, and fractured bedrock--provide an extensive and readily accessible ground-water supply in Massachusetts. Ground water affects our everyday lives, not just in terms of how much water is available, but also in terms of the position of ground-water levels in relation to land surface. Knowledge of ground-water levels is needed by Federal, State, and local agencies to help plan, manage, and protect ground-water supplies, and by private construction companies for site planning and evaluation. A primary part of the mission of the U.S. Geological Survey (USGS), Water Resources Division, is the systematic collection of ground-water, surface-water, and water-quality data. These data are needed to manage and protect the nation's water resources. The Massachusetts-Rhode Island District of the USGS, in cooperation with the Massachusetts Department of Environmental Management (DEM), Office of Water Resources, and county and town environmental agencies, has maintained a network of observation wells throughout the Commonwealth since the mid 1930's. The purpose of this network is to monitor seasonal and long-term changes in groundwater storage in different lithologic, topographic, and geographic settings. These data are analyzed to provide a monthly index of ground-water conditions to aid in water-resources management and planning, and to define long-term changes in water levels resulting from manmade stresses (such as pumping and construction-site drainage) and natural stresses (such as floods and droughts).

Role of Social Knowledge Networking technology in facilitating meaningful use of Electronic Health Record medication reconciliation.

PubMed

Rangachari, Pavani

2016-06-01

Despite the federal policy impetus towards EHR Medication Reconciliation, hospital adherence has lagged for one chief reason; low physician engagement, which in turn emanates from lack of consensus in regard to which physician is responsible for managing a patient's medication list, and the importance of medication reconciliation as a tool for improving patient safety and quality of care. The Technology-in-Practice (TIP) framework stresses the role of human action in enacting structures of technology use or "technologies-in-practice." Applying the TIP framework to the EHR Medication Reconciliation context, helps frame the problem as one of low physician engagement in performing EHR Medication Reconciliation, translating to limited-use-EHR-in-practice. Concurrently, the problem suggests a hierarchical network structure, reflecting limited communication among hospital administrators and clinical providers on the importance of EHR Medication Reconciliation in improving patient safety. Integrating the TIP literature with the more recent knowledge-in-Practice (KIP) literature suggests that EHR-in-practice could be transformed from "limited use" to "meaningful use" through the use of Social Knowledge Networking (SKN) Technology to create new social network structures, and enable engagement, learning, and practice change. Correspondingly, the objectives of this paper are to: 1) Conduct a narrative review of the literature on "technology use," to understand how technologies-in-practice may be transformed from limited use to meaningful use; 2) Conduct a narrative review of the literature on "organizational change implementation," to understand how changes in technology use could be successfully implemented and sustained in a healthcare organizational context; and 3) Apply lessons learned from the narrative literature reviews to identify strategies for the meaningful use and successful implementation of EHR Medication Reconciliation technology.

Smart Networked Elements in Support of ISHM

NASA Technical Reports Server (NTRS)

Oostdyk, Rebecca; Mata, Carlos; Perotti, Jose M.

2008-01-01

At the core of ISHM is the ability to extract information and knowledge from raw data. Conventional data acquisition systems sample and convert physical measurements to engineering units, which higher-level systems use to derive health and information about processes and systems. Although health management is essential at the top level, there are considerable advantages to implementing health-related functions at the sensor level. The distribution of processing to lower levels reduces bandwidth requirements, enhances data fusion, and improves the resolution for detection and isolation of failures in a system, subsystem, component, or process. The Smart Networked Element (SNE) has been developed to implement intelligent functions and algorithms at the sensor level in support of ISHM.

Research Networks, Mentorship and Sustainability Knowledge

NASA Astrophysics Data System (ADS)

Kafle, A.; Mukhopadhyay, P.; Nepal, M.; Shyamsundar, P.

2015-12-01

In South Asia, a majority of institutions are ill-equipped to undertake research on multi-disciplinary environmental problems, though these problems are increasing at a fast rate and connected to the region's poverty and growth objectives. In this context, the South Asian Network for Development and Environmental Economics (SANDEE) tries to fill a research, training and knowledge gap by building skills in the area of Environment and Development Economics. In this paper, the authors argue that research networks contribute to the growth of sustainability knowledge through (a) knowledge creation, (b) knowledge transfer and (c) knowledge deepening. The paper tries to show the relationship between capacity building, mentorship and research scholarship. It demonstrates that researchers, by associating with the network and its multiple training and mentoring processes, are able to build skills, change curricula and deliver useful knowledge products. The paper discusses the need for interdisciplinary research and the challenges of bridging the gap between research outputs and policy reforms.

Markov random fields and graphs for uncertainty management and symbolic data fusion in an urban scene interpretation

NASA Astrophysics Data System (ADS)

Moissinac, Henri; Maitre, Henri; Bloch, Isabelle

1995-11-01

An image interpretation method is presented for the automatic processing of aerial pictures of a urban landscape. In order to improve the picture analysis, some a priori knowledge extracted from a geographic map is introduced. A coherent graph-based model of the city is built, starting with the road network. A global uncertainty management scheme has been designed in order to evaluate the final confidence we can have in the final results. This model and the uncertainty management tend to reflect the hierarchy of the available data and the interpretation levels. The symbolic relationships linking the different kinds of elements are taken into account while propagating and combining the confidence measures along the interpretation process.

Diagnostic reasoning and underlying knowledge of students with preclinical patient contacts in PBL.

PubMed

Diemers, Agnes D; van de Wiel, Margje W J; Scherpbier, Albert J J A; Baarveld, Frank; Dolmans, Diana H J M

2015-12-01

Medical experts have access to elaborate and integrated knowledge networks consisting of biomedical and clinical knowledge. These coherent knowledge networks enable them to generate more accurate diagnoses in a shorter time. However, students' knowledge networks are less organised and students have difficulties linking theory and practice and transferring acquired knowledge. Therefore we wanted to explore the development and transfer of knowledge of third-year preclinical students on a problem-based learning (PBL) course with real patient contacts. Before and after a 10-week PBL course with real patients, third-year medical students were asked to think out loud while diagnosing four types of paper patient problems (two course cases and two transfer cases), and explain the underlying pathophysiological mechanisms of the patient features. Diagnostic accuracy and time needed to think through the cases were measured. The think-aloud protocols were transcribed verbatim and different types of knowledge were coded and quantitatively analysed. The written pathophysiological explanations were translated into networks of concepts. Both the concepts and the links between concepts in students' networks were compared to model networks. Over the course diagnostic accuracy increased, case-processing time decreased, and students used less biomedical and clinical knowledge during diagnostic reasoning. The quality of the pathophysiological explanations increased: the students used more concepts, especially more model concepts, and they used fewer wrong concepts and links. The findings differed across course and transfer cases. The effects were generally less strong for transfer cases. Students' improved diagnostic accuracy and the improved quality of their knowledge networks suggest that integration of biomedical and clinical knowledge took place during a 10-week course. The differences between course and transfer cases demonstrate that transfer is complex and time-consuming. We therefore suggest offering students many varied patient contacts with the same underlying pathophysiological mechanism and encouraging students to link biomedical and clinical knowledge. © 2015 John Wiley & Sons Ltd.

Kaiser Permanente's performance improvement system, Part 4: Creating a learning organization.

PubMed

Schilling, Lisa; Dearing, James W; Staley, Paul; Harvey, Patti; Fahey, Linda; Kuruppu, Francesca

2011-12-01

In 2006, recognizing variations in performance in quality, safety, service, and efficiency, Kaiser Permanente leaders initiated the development of a performance improvement (PI) system. Kaiser Permanente has implemented a strategy for creating the systemic capacity for continuous improvement that characterizes a learning organization. Six "building blocks" were identified to enable Kaiser Permanente to make the transition to becoming a learning organization: real-time sharing of meaningful performance data; formal training in problem-solving methodology; workforce engagement and informal knowledge sharing; leadership structures, beliefs, and behaviors; internal and external benchmarking; and technical knowledge sharing. Putting each building block into place required multiple complex strategies combining top-down and bottom-up approaches. Although the strategies have largely been successful, challenges remain. The demand for real-time meaningful performance data can conflict with prioritized changes to health information systems. It is an ongoing challenge to teach PI, change management, innovation, and project management to all managers and staff without consuming too much training time. Challenges with workforce engagement include low initial use of tools intended to disseminate information through virtual social networking. Uptake of knowledge-sharing technologies is still primarily by innovators and early adopters. Leaders adopt new behaviors at varying speeds and have a range of abilities to foster an environment that is psychologically safe and stimulates inquiry. A learning organization has the capability to improve, and it develops structures and processes that facilitate the acquisition and sharing of knowledge.

Knitted Patterns or Contagious Hotspots?: Linking Views on Knowledge and Organizational Networked Learning

ERIC Educational Resources Information Center

Cornelissen, Frank; de Jong, Tjip; Kessels, Joseph

2012-01-01

Purpose: This paper aims to propose a framework which connects perspectives on knowledge and learning to various approaches of social networks studies. The purpose is twofold: providing input for the discourse in organizational studies about the way different views on knowledge and networks drive design choices and activities of researchers,…

An Exploratory Study Examining the Feasibility of Using Bayesian Networks to Predict Circuit Analysis Understanding

ERIC Educational Resources Information Center

Chung, Gregory K. W. K.; Dionne, Gary B.; Kaiser, William J.

2006-01-01

Our research question was whether we could develop a feasible technique, using Bayesian networks, to diagnose gaps in student knowledge. Thirty-four college-age participants completed tasks designed to measure conceptual knowledge, procedural knowledge, and problem-solving skills related to circuit analysis. A Bayesian network was used to model…

Social network composition of vascular patients and its associations with health behavior and clinical risk factors.

PubMed

Heijmans, Naomi; van Lieshout, Jan; Wensing, Michel

2017-01-01

This study aimed to explore linkages of patients' social network composition with health behaviors and clinical risk factors. This observational study was embedded in a project aimed at improving cardiovascular risk management (CRVM) in primary care. 657 vascular patients (227 with cardiovascular disease, 380 at high vascular risk), mean age 72.4 (SD 9.4) years, were recruited as were individuals patients considered important for dealing with their disease, so called alters (n = 487). Network composition was measured with structured patient questionnaires. Both patients and alters completed questionnaires to measure health behavior (habits for physical activity, diet, and smoking). Clinical risk factors (systolic blood pressure, LDL cholesterol level, and body mass index) were extracted from patients' medical records. Six logistic regression analyses, using generalized estimating equations, were used to test three hypothesized effects of network composition (having alters with healthful behaviors, without depression, and with specialized knowledge) on six outcomes, adjusted for demographic, personal and psychological characteristics. Having alters with overall healthful behavior was related to healthful patient diet (OR 2.14, 95%CI: 1.52-3.02). Having non-smoking alters in networks was related to reduced odds for patient smoking (OR 0.17, 95%CI: 0.05-0.60). No effects of presence of non-depressed alters were found. Presence of alters with specialized knowledge on CVRM was inversely related to healthful diet habits of patients (OR 0.47, 95%CI 0.24-0.89). No significant associations between social network composition and clinical risk factors were found. Diet and smoking, but not physical exercise and clinical risk factors, were associated with social network composition of patients with vascular conditions. In this study of vascular patients, controlling for both personal and psychological factors, fewer network influences were found compared to previous research. Further research is needed to examine network structure characteristics as well as the role of psychological factors to enhance understanding health behavior of patients involved in CVRM.

[Benefit of network education to college students' knowledge about sexual and reproductive health in Ningbo city].

PubMed

Wang, Guo-yao; Ji, Yun-xin; Ding, Hui-qing; Gui, Zhong-bao; Liang, Xiao-ming; Fu, Jian-fei; Cheng, Yue

2015-12-01

To investigate how network education can improve college students' knowledge on sexual and reproductive health in Ningbo city. From December 2012 to June 2013, we conducted a questionnaire investigation among college students in Ningbo city about the effects of network education on their knowledge about sexual psychology, sexual physiology, sexual ethics, and reproductive health. A total of 7 362 college students accomplished the investigation, of whom 2 483 (42.1% males and 57.9% females) received network education, while the other 4 879 (24.1% males and 75.9% females) did not. Approximately 47.1% of the male and 28.0% of the female students acquired sexual and reproductive knowledge via network education. Reproductive health-related network education significantly enriched the students' knowledge about the reproductive system and sex, pubertal development, sexual physiology, conception and embryonic development, methods of contraception, sexual psychology, sexually transmitted diseases and their prevention, pregnancy care and eugenics, and environment- and occupation-related reproductive health (P < 0.01). It also remarkably improved their cognitive attitude towards reproductive health knowledge (P < 0.01). Those who received reproductive health-related network education showed a significantly higher rate of masturbation (P < 0.01) but markedly later time of the first masturbation (P < 0.01) than those who did not. Network education can enhance the effect of reproductive health education among college students and improve their sexual experience and health.

Social Networks and Adaptation to Environmental Change: The Case of Central Oregon's Fire-Prone Forest Landscape

NASA Astrophysics Data System (ADS)

Fischer, A.

2012-12-01

Social networks are the patterned interactions among individuals and organizations through which people refine their beliefs and values, negotiate meanings for things and develop behavioral intentions. The structure of social networks has bearing on how people communicate information, generate and retain knowledge, make decisions and act collectively. Thus, social network structure is important for how people perceive, shape and adapt to the environment. We investigated the relationship between social network structure and human adaptation to wildfire risk in the fire-prone forested landscape of Central Oregon. We conducted descriptive and non-parametric social network analysis on data gathered through interviews to 1) characterize the structure of the network of organizations involved in forest and wildfire issues and 2) determine whether network structure is associated with organizations' beliefs, values and behaviors regarding fire and forest management. Preliminary findings indicate that fire protection and forest-related organizations do not frequently communicate or cooperate, suggesting that opportunities for joint problem-solving, innovation and collective action are limited. Preliminary findings also suggest that organizations with diverse partners are more likely to hold adaptive beliefs about wildfire and work cooperatively. We discuss the implications of social network structure for adaptation to changing environmental conditions such as wildfire risk.

Study on Collaborative SCM of Construction Enterprises Based on Information-Sharing

NASA Astrophysics Data System (ADS)

Wang, Lianyue

Economic globalization and the integration process has led to competition among construction enterprises become increasingly fierce, which are adjusting their development strategies and efforts to seek for the knowledge economy and network environment to promote enterprise survival and development, enhancing the competitiveness of enterprises in the new business management models and ideas. This paper first discussed the concept of the supply chain collaboration of the construction enterprise and constituted a information management platform of the general contracting project. At last, the paper puts forward tactics which aims at helping construction enterprises realize supply chain collaboration and enhance the competitiveness of enterprises.

[Clinical management of child and adolescent psychiatric emergencies in patients with substance abuse disorders].

PubMed

Coronel, Pablo A

2017-01-01

This paper addresses the problem of substance abuse disorders in child and adolescent patients within its frequent psychiatric emergency setting. It describes the clinical features that defne the high complexity of these cases, the current state of knowledge regarding clinical management of child and adolescent psychiatric emergencies in patients with substance abuse disorders, and the available treatment strategies in the metropolitan area of Buenos Aires, Argentina. Finally, this article delves into the existence of a metropolitan addiction treatment network, its community outreach and the obstacles it has to conquer in order to attain the international standards for the treatment of substance abuse disorders.

Data, knowledge and method bases in chemical sciences. Part IV. Current status in databases.

PubMed

Braibanti, Antonio; Rao, Rupenaguntla Sambasiva; Rao, Gollapalli Nagesvara; Ramam, Veluri Anantha; Rao, Sattiraju Veera Venkata Satyanarayana

2002-01-01

Computer readable databases have become an integral part of chemical research right from planning data acquisition to interpretation of the information generated. The databases available today are numerical, spectral and bibliographic. Data representation by different schemes--relational, hierarchical and objects--is demonstrated. Quality index (QI) throws light on the quality of data. The objective, prospects and impact of database activity on expert systems are discussed. The number and size of corporate databases available on international networks crossed manageable number leading to databases about their contents. Subsets of corporate or small databases have been developed by groups of chemists. The features and role of knowledge-based or intelligent databases are described.

Using information technology to improve the management of chronic disease.

PubMed

Celler, Branko G; Lovell, Nigel H; Basilakis, Jim

2003-09-01

Information and communications technology (ICT) is increasingly being used in management of chronic illness to facilitate shared services (virtual health networks and electronic health records), knowledge management (care rules and protocols, scheduling, information directories), as well as consumer-based health education and evidence-based clinical protocols. Common applications of ICT include home monitoring of vital signs for patients with chronic disease, as well as replacing home visits by nurses in person with telemedicine videophone consultations. A patient-managed Home Telecare System with integrated clinical signs monitoring, automated scheduling and medication reminders, as well as access to health education and daily logs, is presented as an example of ICT use for chronic disease self-management. A clinical case study demonstrates how early identification of adverse trends in clinical signs recorded in the home can either avoid hospital readmission or reduce the length of hospital stay.

Regulation and the circulation of knowledge: penicillin patents in Spain.

PubMed

Romero de Pablos, Ana

2011-01-01

This paper tells the early history of penicillin patenting in Spain. Patents turn out to be useful instruments for analysing the management of knowledge and its circulation in different professional and geographical domains. They protected knowledge while contributing to standardisation. Patents also ensured quality and guaranteed reliability in manufacturing, delivering and prescribing new drugs. They gained special prominence by allowing the creation of a network in which political, economic and business, industrial power, public health and international cooperation fields came together. The main source of information used for this purpose has been the earliest patent applications for penicillin in Spain between 1948 and 1950, which are kept in the Historical Archives of the Oficina Española de Patentes y Marcas. The study of these patents for penicillin shows their role as agents in introducing this drug in Spain.

A study of EMR-based medical knowledge network and its applications.

PubMed

Zhao, Chao; Jiang, Jingchi; Xu, Zhiming; Guan, Yi

2017-05-01

Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support. We attempt to integrate this medical knowledge into a complex network, and then implement a diagnosis model based on this network. The dataset of our study contains 992 records which are uniformly sampled from different departments of the hospital. In order to integrate the knowledge of these records, an EMR-based medical knowledge network (EMKN) is constructed. This network takes medical entities as nodes, and co-occurrence relationships between the two entities as edges. Selected properties of this network are analyzed. To make use of this network, a basic diagnosis model is implemented. Seven hundred records are randomly selected to re-construct the network, and the remaining 292 records are used as test records. The vector space model is applied to illustrate the relationships between diseases and symptoms. Because there may exist more than one actual disease in a record, the recall rate of the first ten results, and the average precision are adopted as evaluation measures. Compared with a random network of the same size, this network has a similar average length but a much higher clustering coefficient. Additionally, it can be observed that there are direct correlations between the community structure and the real department classes in the hospital. For the diagnosis model, the vector space model using disease as a base obtains the best result. At least one accurate disease can be obtained in 73.27% of the records in the first ten results. We constructed an EMR-based medical knowledge network by extracting the medical entities. This network has the small-world and scale-free properties. Moreover, the community structure showed that entities in the same department have a tendency to be self-aggregated. Based on this network, a diagnosis model was proposed. This model uses only the symptoms as inputs and is not restricted to a specific disease. The experiments conducted demonstrated that EMKN is a simple and universal technique to integrate different medical knowledge from EMRs, and can be used for clinical decision support. Copyright © 2017 Elsevier B.V. All rights reserved.

Efficient Results in Semantic Interoperability for Health Care. Findings from the Section on Knowledge Representation and Management.

PubMed

Soualmia, L F; Charlet, J

2016-11-10

To summarize excellent current research in the field of Knowledge Representation and Management (KRM) within the health and medical care domain. We provide a synopsis of the 2016 IMIA selected articles as well as a related synthetic overview of the current and future field activities. A first step of the selection was performed through MEDLINE querying with a list of MeSH descriptors completed by a list of terms adapted to the KRM section. The second step of the selection was completed by the two section editors who separately evaluated the set of 1,432 articles. The third step of the selection consisted of a collective work that merged the evaluation results to retain 15 articles for peer-review. The selection and evaluation process of this Yearbook's section on Knowledge Representation and Management has yielded four excellent and interesting articles regarding semantic interoperability for health care by gathering heterogeneous sources (knowledge and data) and auditing ontologies. In the first article, the authors present a solution based on standards and Semantic Web technologies to access distributed and heterogeneous datasets in the domain of breast cancer clinical trials. The second article describes a knowledge-based recommendation system that relies on ontologies and Semantic Web rules in the context of chronic diseases dietary. The third article is related to concept-recognition and text-mining to derive common human diseases model and a phenotypic network of common diseases. In the fourth article, the authors highlight the need for auditing the SNOMED CT. They propose to use a crowdbased method for ontology engineering. The current research activities further illustrate the continuous convergence of Knowledge Representation and Medical Informatics, with a focus this year on dedicated tools and methods to advance clinical care by proposing solutions to cope with the problem of semantic interoperability. Indeed, there is a need for powerful tools able to manage and interpret complex, large-scale and distributed datasets and knowledge bases, but also a need for user-friendly tools developed for the clinicians in their daily practice.

Spatial Bayesian belief networks as a planning decision tool for mapping ecosystem services trade-offs on forested landscapes.

PubMed

Gonzalez-Redin, Julen; Luque, Sandra; Poggio, Laura; Smith, Ron; Gimona, Alessandro

2016-01-01

An integrated methodology, based on linking Bayesian belief networks (BBN) with GIS, is proposed for combining available evidence to help forest managers evaluate implications and trade-offs between forest production and conservation measures to preserve biodiversity in forested habitats. A Bayesian belief network is a probabilistic graphical model that represents variables and their dependencies through specifying probabilistic relationships. In spatially explicit decision problems where it is difficult to choose appropriate combinations of interventions, the proposed integration of a BBN with GIS helped to facilitate shared understanding of the human-landscape relationships, while fostering collective management that can be incorporated into landscape planning processes. Trades-offs become more and more relevant in these landscape contexts where the participation of many and varied stakeholder groups is indispensable. With these challenges in mind, our integrated approach incorporates GIS-based data with expert knowledge to consider two different land use interests - biodiversity value for conservation and timber production potential - with the focus on a complex mountain landscape in the French Alps. The spatial models produced provided different alternatives of suitable sites that can be used by policy makers in order to support conservation priorities while addressing management options. The approach provided provide a common reasoning language among different experts from different backgrounds while helped to identify spatially explicit conflictive areas. Copyright © 2015 Elsevier Inc. All rights reserved.

Information technology and public health management of disasters--a model for South Asian countries.

PubMed

Mathew, Dolly

2005-01-01

This paper highlights the use of information technology (IT) in disaster management and public health management of disasters. Effective health response to disasters will depend on three important lines of action: (1) disaster preparedness; (2) emergency relief; and (3) management of disasters. This is facilitated by the presence of modern communication and space technology, especially the Internet and remote sensing satellites. This has made the use of databases, knowledge bases, geographic information systems (GIS), management information systems (MIS), information transfer, and online connectivity possible in the area of disaster management and medicine. This paper suggests a conceptual model called, "The Model for Public Health Management of Disasters for South Asia". This Model visualizes the use of IT in the public health management of disasters by setting up the Health and Disaster Information Network and Internet Community Centers, which will facilitate cooperation among all those in the areas of disaster management and emergency medicine. The suggested infrastructure would benefit the governments, non-government organizations, and institutions working in the areas of disaster and emergency medicine, professionals, the community, and all others associated with disaster management and emergency medicine. The creation of such an infrastructure will enable the rapid transfer of information, data, knowledge, and online connectivity from top officials to the grassroots organizations, and also among these countries regionally. This Model may be debated, modified, and tested further in the field to suit the national and local conditions. It is hoped that this exercise will result in a viable and practical model for use in public health management of disasters by South Asian countries.

Thriving in a changing environment.

PubMed

Hanna, E

2001-01-01

Undeniably, working in an environment that challenges the status quo is not without its problems. Members of the service redesign teams who participated in the West Ottawa Valley Network experience confess that many times during the process they felt a threat to their own job security along with uncertainty about their future roles and responsibilities. June Merkley points out that "working outside one's "normal comfort level" in a non-traditional leadership role has it's own set of difficulties, and dealing with multiple network members adds a dimension of complexity not encountered at the single site level." But she believes that "the challenges encountered within the network are helping to broaden the scope of job knowledge and communication skills. This can only have a direct and positive impact on the day-to-day tasks, while providing value to both the employee and employer". As a career management strategy, healthcare managers should seek out opportunities beyond their normal range of accountability, participate in activities that encourage the growth of new skills or hone skills that are a bit rusty. Often these projects will cause some anxiety or discomfort but the rewards, both short and long term, far outweigh the short-term pain.

Indianapolis I3: the third generation Integrated Advanced Information Management Systems*

PubMed Central

McGowan, Julie J.; Overhage, J. Marc; Barnes, Mike; McDonald, Clement J.

2004-01-01

In 2001, the Regenstrief Institute for Health Care and the Indiana University School of Medicine (IUSM) began an IAIMS planning effort to create a vision and a tactical plan for the first Integrated Advanced Information Management Systems (IAIMS) implementation to cross a large area and include unaffiliated institutions. A number of elements made this planning effort unique. Among these elements were the existence of a network infrastructure that supported the Indianapolis Network for Patient Care, the existence of a mature medical informatics program at the Regenstrief Institute, and the existence of a wide-area knowledge network fostered by the IUSM libraries. However, the leadership for a strong information technology role in the IUSM that could promote collaboration in support of education and research across the diverse Indianapolis hospital systems had been lacking. By bringing together various groups, each with a commitment to improve health care quality and public health across the Indianapolis metropolitan area, regardless of individual institutional affiliation, the strategic directions for I3–Indianapolis IAIMS Initiative have been defined and the foundations for a third generation IAIMS construct have been laid in Indianapolis, Indiana. PMID:15098046

The integration of citizens into a science/policy network in genetics: governance arrangements and asymmetry in expertise

PubMed Central

Daudelin, Geneviève; Lehoux, Pascale; Abelson, Julia; Denis, Jean L.

2010-01-01

Abstract Objectives  While there are increasing calls for public input into health research and policy, the actual obtaining of such input faces many challenges in practice. This article examines how a Canadian science/policy network in the field of genetics integrated citizens into its structure and then managed their participation. Methods  Our ethnographic case study covers a 5‐year period (2003–08) and combines four data sources: observations of the network’s meetings and informal activities, debriefing sessions with the network’s leaders, semi‐structured interviews with network members (n = 20) and document analysis. Results  When setting up the network, the leaders wanted to include a range of perspectives (research, clinical and policy) to increase the relevance of their research production and knowledge‐transfer activities. After 2 years of operation, the network’s members agreed to also include citizens who were not knowledgeable in genetics and policy issues. As neither the structure nor the dynamics of the network were modified, the citizens very soon started to feel uncomfortable with their role. They doubted the relevance of their contribution, pointing to an asymmetry in knowledge between them and the expert members. There were significant tensions in the network’s governance and the citizens’ concerns during the process were not fully addressed. Conclusion  The integration of citizens into transdisciplinary networks requires recognizing and addressing the asymmetry of expertise that underpins such a collaborative endeavour. It also requires understanding that citizens may feel uncomfortable adopting the pre‐defined role ascribed to them, may need a space of their own or may even withdraw if they feel being used. PMID:21029284

Using NetMaster to manage IBM networks

NASA Technical Reports Server (NTRS)

Ginsburg, Guss

1991-01-01

After defining a network and conveying its importance to support the activities at the JSC, the need for network management based on the size and complexity of the IBM SNA network at JSC is demonstrated. Network Management consists of being aware of component status and the ability to control resources to meet the availability and service needs of users. The concerns of the user are addressed as well as those of the staff responsible for managing the network. It is explained how NetMaster (a network management system for managing SNA networks) is used to enhance reliability and maximize service to SNA network users through automated procedures. The following areas are discussed: customization, problem and configuration management, and system measurement applications of NetMaster. Also, several examples are given that demonstrate NetMaster's ability to manage and control the network, integrate various product functions, as well as provide useful management information.

Approaches to emergency management teaching at the master's level.

PubMed

Alexander, David

2013-01-01

Training and education enable emergency managers to deal with complex situations, create durable networks of people with appropriate expertise, and ensure that knowledge is utilized to improve resilience in the face of disaster risk. Although there is a discrete literature on emergency management training, few attempts have been made to create an overview that discusses the key issues and proposes a standardized approach. This article examines the nature of training and education in emergency and disaster management. It analyzes the composition and requirements of courses at the master's degree level, which is considered to be the most appropriate tier for in-depth instruction in this field. This article defines "training" and "education" in the context of emergency management courses. It reviews the developing profile of the emergency manager in the light of training requirements. This article examines the question of whether emergency management is a branch of management science or whether it is something distinct and separate. Attention is given to the composition of a core curriculum and to the most appropriate pedagogical forms of delivering it. The article reviews the arguments for and against standardization of the curriculum and describes some of the pedagogical methods for delivering courses. Briefly, it considers the impact on training and education of new pedagogic methods based on information technology. It is concluded that the master's level is particularly suited to emergency and crisis management education, as it enables students to complement the in-depth knowledge they acquired in their disciplinary first degrees with a broader synthetic approach at the postgraduate level. Some measures of standardization of course offerings are desirable, in favor of creating a core curriculum that will ensure that essential core knowledge is imparted. Education and training in this field should include problem-solving approaches that enable students to learn practical skills as well as theory.

Exploiting Social Context for Anticipatory Analysis of Human Movement

DTIC Science & Technology

2012-10-01

Connected World. Cambridge University Press, 2010. [Online]. Available: http://books.google.com/books?id=atfCl2agdi8C [12] M. Lopez, M. Vukovic , and J . Laredo...Ypodimatopoulos, M. Vukovic , J . Laredo, and S. Rajagopal, “Server Hunt: Using Enterprise Social Networks for Knowledge Discovery in IT Inventory Management...encounters between agents i and j . The geographic location of each of the top five best friends form the second part of the agent’s social context

Business Angels - A Subspecies of the homo oeconomicus ludens.

PubMed

Hüsler, Laurenz; Platzer, Erich M

2014-12-01

Business Angels invest in start-up companies in their early stage. This type of investor usually has a good knowledge of the start-up's industry sector, and in addition to the funds he invests, his management experience and his network can be useful for start-ups. Business Angel involvement has shown to improve the success rate and the profitability of start-ups. The article depicts the relationship between entrepreneurs and Business Angels in four case examples.

High Performance Visualization using Query-Driven Visualizationand Analytics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bethel, E. Wes; Campbell, Scott; Dart, Eli

2006-06-15

Query-driven visualization and analytics is a unique approach for high-performance visualization that offers new capabilities for knowledge discovery and hypothesis testing. The new capabilities akin to finding needles in haystacks are the result of combining technologies from the fields of scientific visualization and scientific data management. This approach is crucial for rapid data analysis and visualization in the petascale regime. This article describes how query-driven visualization is applied to a hero-sized network traffic analysis problem.

Enterprise Management Network Architecture Distributed Knowledge Base Support

DTIC Science & Technology

1990-11-01

Advantages Potentially, this makes a distributed system more powerful than a conventional, centralized one in two ways: " First, it can be more reliable...does not completely apply [35]. The grain size of the processors measures the individual problem-solving power of the agents. In this definition...problem-solving power amounts to the conceptual size of a single action taken by an agent visible to the other agents in the system. If the grain is coarse

GARNET--gene set analysis with exploration of annotation relations.

PubMed

Rho, Kyoohyoung; Kim, Bumjin; Jang, Youngjun; Lee, Sanghyun; Bae, Taejeong; Seo, Jihae; Seo, Chaehwa; Lee, Jihyun; Kang, Hyunjung; Yu, Ungsik; Kim, Sunghoon; Lee, Sanghyuk; Kim, Wan Kyu

2011-02-15

Gene set analysis is a powerful method of deducing biological meaning for an a priori defined set of genes. Numerous tools have been developed to test statistical enrichment or depletion in specific pathways or gene ontology (GO) terms. Major difficulties towards biological interpretation are integrating diverse types of annotation categories and exploring the relationships between annotation terms of similar information. GARNET (Gene Annotation Relationship NEtwork Tools) is an integrative platform for gene set analysis with many novel features. It includes tools for retrieval of genes from annotation database, statistical analysis & visualization of annotation relationships, and managing gene sets. In an effort to allow access to a full spectrum of amassed biological knowledge, we have integrated a variety of annotation data that include the GO, domain, disease, drug, chromosomal location, and custom-defined annotations. Diverse types of molecular networks (pathways, transcription and microRNA regulations, protein-protein interaction) are also included. The pair-wise relationship between annotation gene sets was calculated using kappa statistics. GARNET consists of three modules--gene set manager, gene set analysis and gene set retrieval, which are tightly integrated to provide virtually automatic analysis for gene sets. A dedicated viewer for annotation network has been developed to facilitate exploration of the related annotations. GARNET (gene annotation relationship network tools) is an integrative platform for diverse types of gene set analysis, where complex relationships among gene annotations can be easily explored with an intuitive network visualization tool (http://garnet.isysbio.org/ or http://ercsb.ewha.ac.kr/garnet/).

Brain networks, structural realism, and local approaches to the scientific realism debate.

PubMed

Yan, Karen; Hricko, Jonathon

2017-08-01

We examine recent work in cognitive neuroscience that investigates brain networks. Brain networks are characterized by the ways in which brain regions are functionally and anatomically connected to one another. Cognitive neuroscientists use various noninvasive techniques (e.g., fMRI) to investigate these networks. They represent them formally as graphs. And they use various graph theoretic techniques to analyze them further. We distinguish between knowledge of the graph theoretic structure of such networks (structural knowledge) and knowledge of what instantiates that structure (nonstructural knowledge). And we argue that this work provides structural knowledge of brain networks. We explore the significance of this conclusion for the scientific realism debate. We argue that our conclusion should not be understood as an instance of a global structural realist claim regarding the structure of the unobservable part of the world, but instead, as a local structural realist attitude towards brain networks in particular. And we argue that various local approaches to the realism debate, i.e., approaches that restrict realist commitments to particular theories and/or entities, are problematic insofar as they don't allow for the possibility of such a local structural realist attitude. Copyright © 2017 Elsevier Ltd. All rights reserved.

Assessing information needs and use of online resources for disease self-management in patients with rheumatoid arthritis: a qualitative study.

PubMed

des Bordes, Jude K A; Gonzalez, Elsa; Lopez-Olivo, Maria A; Shethia, Maithili; Nayak, Pratibha; Suarez-Almazor, Maria E

2018-07-01

To explore the information needs of patients with rheumatoid arthritis (RA) and their acceptance of online resources and Facebook in particular, as a source of information, interaction, and support among peers. Participants were adults with RA of ≤ 10 years duration, had ongoing or prior treatment with disease-modifying anti-rheumatic drugs or biologic agents, and internet access. We conducted 20 in-depth interviews using semi-structured interview guide to explore: (1) RA information needs, (2) use of self-management health behaviors, (3) use of internet resources for disease management, (4) role of peer support in health self-management, and (5) use of social networking sites (SNS) such as Facebook in disease management. Data were analyzed using content analysis and constant comparative methods. Participants were mainly female (85%), White (70%), and over 50 years old (70%). Specific information needs included knowledge regarding medications, disease course, pain control, diet, and exercise. Most participants had a narrow perception of SNS as a tool for disease management. However, they found SNS acceptable and were open to participating in a support group on Facebook with reasonable assurance of privacy. Although the overarching theme was RA information needs, the other themes contribute in supporting the robust emergence of Internet media in informing patients about their health and support systems. Our findings can inform the choice and format of materials to be considered for online education on self-management and social networking for RA patients.

The Best of Both Worlds

PubMed Central

Ter Wal, Anne L.J.; Alexy, Oliver; Block, Jörn; Sandner, Philipp G.

2016-01-01

Open networks give actors non-redundant information that is diverse, while closed networks offer redundant information that is easier to interpret. Integrating arguments about network structure and the similarity of actors’ knowledge, we propose two types of network configurations that combine diversity and ease of interpretation. Closed-diverse networks offer diversity in actors’ knowledge domains and shared third-party ties to help in interpreting that knowledge. In open-specialized networks, structural holes offer diversity, while shared interpretive schema and overlap between received information and actors’ prior knowledge help in interpreting new information without the help of third parties. In contrast, actors in open-diverse networks suffer from information overload due to the lack of shared schema or overlapping prior knowledge for the interpretation of diverse information, and actors in closed-specialized networks suffer from overembeddedness because they cannot access diverse information. Using CrunchBase data on early-stage venture capital investments in the U.S. information technology sector, we test the effect of investors’ social capital on the success of their portfolio ventures. We find that ventures have the highest chances of success if their syndicating investors have either open-specialized or closed-diverse networks. These effects are manifested beyond the direct effects of ventures’ or investors’ quality and are robust to controlling for the possibility that certain investors could have chosen more promising ventures at the time of first funding. PMID:27499546

Slow-down or speed-up of inter- and intra-cluster diffusion of controversial knowledge in stubborn communities based on a small world network

NASA Astrophysics Data System (ADS)

Ausloos, Marcel

2015-06-01

Diffusion of knowledge is expected to be huge when agents are open minded. The report concerns a more difficult diffusion case when communities are made of stubborn agents. Communities having markedly different opinions are for example the Neocreationist and Intelligent Design Proponents (IDP), on one hand, and the Darwinian Evolution Defenders (DED), on the other hand. The case of knowledge diffusion within such communities is studied here on a network based on an adjacency matrix built from time ordered selected quotations of agents, whence for inter- and intra-communities. The network is intrinsically directed and not necessarily reciprocal. Thus, the adjacency matrices have complex eigenvalues; the eigenvectors present complex components. A quantification of the slow-down or speed-up effects of information diffusion in such temporal networks, with non-Markovian contact sequences, can be made by comparing the real time dependent (directed) network to its counterpart, the time aggregated (undirected) network, - which has real eigenvalues. In order to do so, small world networks which both contain an odd number of nodes are studied and compared to similar networks with an even number of nodes. It is found that (i) the diffusion of knowledge is more difficult on the largest networks; (ii) the network size influences the slowing-down or speeding-up diffusion process. Interestingly, it is observed that (iii) the diffusion of knowledge is slower in IDP and faster in DED communities. It is suggested that the finding can be "rationalized", if some "scientific quality" and "publication habit" is attributed to the agents, as common sense would guess. This finding offers some opening discussion toward tying scientific knowledge to belief.

Internal Capabilities, External Network Position, and Knowledge Creation

ERIC Educational Resources Information Center

Liao, Yin-Chi

2010-01-01

Despite the general consensus on the importance of interfirm networks, there is an ongoing debate centering on which type of network structure is most beneficial to firm performance. While spanning structural holes--a network position with disconnected partners--is argued to be advantageous in terms of providing access to diverse knowledge,…

Knowledge Management: A Skeptic's Guide

NASA Technical Reports Server (NTRS)

Linde, Charlotte

2006-01-01

A viewgraph presentation discussing knowledge management is shown. The topics include: 1) What is Knowledge Management? 2) Why Manage Knowledge? The Presenting Problems; 3) What Gets Called Knowledge Management? 4) Attempts to Rethink Assumptions about Knowledgs; 5) What is Knowledge? 6) Knowledge Management and INstitutional Memory; 7) Knowledge Management and Culture; 8) To solve a social problem, it's easier to call for cultural rather than organizational change; 9) Will the Knowledge Management Effort Succeed? and 10) Backup: Metrics for Valuing Intellectural Capital i.e. Knowledge.

Similarity networks as a knowledge representation for space applications

NASA Technical Reports Server (NTRS)

Bailey, David; Thompson, Donna; Feinstein, Jerald

1987-01-01

Similarity networks are a powerful form of knowledge representation that are useful for many artificial intelligence applications. Similarity networks are used in applications ranging from information analysis and case based reasoning to machine learning and linking symbolic to neural processing. Strengths of similarity networks include simple construction, intuitive object storage, and flexible retrieval techniques that facilitate inferencing. Therefore, similarity networks provide great potential for space applications.

The Best of Both Worlds: The Benefits of Open-specialized and Closed-diverse Syndication Networks for New Ventures' Success.

PubMed

Ter Wal, Anne L J; Alexy, Oliver; Block, Jörn; Sandner, Philipp G

2016-09-01

Open networks give actors non-redundant information that is diverse, while closed networks offer redundant information that is easier to interpret. Integrating arguments about network structure and the similarity of actors' knowledge, we propose two types of network configurations that combine diversity and ease of interpretation. Closed-diverse networks offer diversity in actors' knowledge domains and shared third-party ties to help in interpreting that knowledge. In open-specialized networks, structural holes offer diversity, while shared interpretive schema and overlap between received information and actors' prior knowledge help in interpreting new information without the help of third parties. In contrast, actors in open-diverse networks suffer from information overload due to the lack of shared schema or overlapping prior knowledge for the interpretation of diverse information, and actors in closed-specialized networks suffer from overembeddedness because they cannot access diverse information. Using CrunchBase data on early-stage venture capital investments in the U.S. information technology sector, we test the effect of investors' social capital on the success of their portfolio ventures. We find that ventures have the highest chances of success if their syndicating investors have either open-specialized or closed-diverse networks. These effects are manifested beyond the direct effects of ventures' or investors' quality and are robust to controlling for the possibility that certain investors could have chosen more promising ventures at the time of first funding.

Citizen Science & MPA Monitoring: Informing adaptive management through enriched local knowledge systems

NASA Astrophysics Data System (ADS)

Meyer, R.; Freitag, A.; McGregor, A.; Whiteman, E.

2013-12-01

Along the California coast, a wealth of capacity exists among individuals, groups and organizations collecting scientific data. This citizen science can take many forms, from spontaneous observations of seabirds to organized surveys of nearshore reefs. Yet, as is often the case, state resource managers have struggled to find ways to access and use this scientific information in decision-making. A unique opportunity exists to alter this status-quo. California has the largest network of marine protected areas (MPAs) in the nation with more than 100 MPAs statewide. Monitoring is essential to inform adaptive management of this network. Traditionally, MPA monitoring has been the purview of academic or agency scientists. Yet, there is increasing recognition that this approach, while playing an important role, is unlikely by itself to provide a sustainable path forward. An opportunity therefore exists to understand how to sustainably and cost-effectively expand the capacity or human capital invested in monitoring and ocean stewardship. In this presentation we will share our collaborative approach to development of a new framework for incorporating citizen science into a partnerships-based portfolio of MPA monitoring in California. We will present initial findings and lessons learned from a broad review of published and gray literature, as well as reflections from interviews and participant observations with citizen science groups in the Central Coast region of California's MPA network. Through research, engagement with existing citizen science programs, and involvement of natural resource managers, we are identifying general best practices and specific opportunities for these groups to collaborate effectively, and for citizen science to play a constructive ongoing role in adaptive management of MPAs.

A survey of the assessment and management of gout in general practitioners and medical officers within the Illawarra Network, Australia.

PubMed

Terrill, Matthew; Riordan, John

2017-08-01

To review the assessment and management of gout by general practitioners (GPs) and medical officers (MOs) within the Illawarra Network, Australia. A survey was sent to GPs and MOs within the Illawarra Network. Of 110 GPs, 45 responded. Of 129 MOs, 42 responded. The overall response was 32.6%. On analysis, 65.1% felt their knowledge of gout to be adequate and 61.6% thought they had been educated well. In acute assessment, 59.1% of GPs responded that the diagnosis of gout best be confirmed with a joint aspiration and 36.4% clinical suspicion. Differing, 85.7% of MOs chose a joint aspiration. In acute management, if colchicine were used, 59.1% of GPs would give 1 mg followed by 0.5 mg an hour later, then 0.5 mg twice daily, compared to 9.5% of MOs, while 20.5% of GPs would use 1 mg twice daily. Chronic management was answered poorly. After an acute attack, urate lowering therapy (ULT) would be started 14 days after by 47.7% of GPs, compared to 69.0% of MOs. GPs were more likely to start ULT within 7 days (52.3% vs. 31.0%). With dosing of ULT, 45.3% would treat to target, while 46.5% would dose to the creatinine clearance. Prophylactic therapy with ULT would be started by 81.8%, although only 17.4% would continue it for 3-6 months. There is poor adherence to recommended practice for dosing of colchicine in acute gout. Also in the management of chronic gout, in particular, the timing of starting ULT and the use of prophylaxis when initiating ULT. © 2016 Asia Pacific League of Associations for Rheumatology and John Wiley & Sons Australia, Ltd.

DETERMINANTS OF NETWORK OUTCOMES: THE IMPACT OF MANAGEMENT STRATEGIES

PubMed Central

YSA, TAMYKO; SIERRA, VICENTA; ESTEVE, MARC

2014-01-01

The literature on network management is extensive. However, it generally explores network structures, neglecting the impact of management strategies. In this article we assess the effect of management strategies on network outcomes, providing empirical evidence from 119 urban revitalization networks. We go beyond current work by testing a path model for the determinants of network outcomes and considering the interactions between the constructs: management strategies, trust, complexity, and facilitative leadership. Our results suggest that management strategies have a strong effect on network outcomes and that they enhance the level of trust. We also found that facilitative leadership has a positive impact on network management as well as on trust in the network. Our findings also show that complexity has a negative impact on trust. A key finding of our research is that managers may wield more influence on network dynamics than previously theorized. PMID:25520529

DETERMINANTS OF NETWORK OUTCOMES: THE IMPACT OF MANAGEMENT STRATEGIES.

PubMed

Ysa, Tamyko; Sierra, Vicenta; Esteve, Marc

2014-09-01

The literature on network management is extensive. However, it generally explores network structures, neglecting the impact of management strategies. In this article we assess the effect of management strategies on network outcomes, providing empirical evidence from 119 urban revitalization networks. We go beyond current work by testing a path model for the determinants of network outcomes and considering the interactions between the constructs: management strategies, trust, complexity, and facilitative leadership. Our results suggest that management strategies have a strong effect on network outcomes and that they enhance the level of trust. We also found that facilitative leadership has a positive impact on network management as well as on trust in the network. Our findings also show that complexity has a negative impact on trust. A key finding of our research is that managers may wield more influence on network dynamics than previously theorized.

Setting Access Permission through Transitive Relationship in Web-based Social Networks

NASA Astrophysics Data System (ADS)

Hong, Dan; Shen, Vincent Y.

The rising popularity of various social networking websites has created a huge problem on Internet privacy. Although it is easy to post photos, comments, opinions on some events, etc. on the Web, some of these data (such as a person’s location at a particular time, criticisms of a politician, etc.) are private and should not be accessed by unauthorized users. Although social networks facilitate sharing, the fear of sending sensitive data to a third party without knowledge or permission of the data owners discourages people from taking full advantage of some social networking applications. We exploit the existing relationships on social networks and build a ‘‘trust network’’ with transitive relationship to allow controlled data sharing so that the privacy and preferences of data owners are respected. The trust network linking private data owners, private data requesters, and intermediary users is a directed weighted graph. The permission value for each private data requester can be automatically assigned in this network based on the transitive relationship. Experiments were conducted to confirm the feasibility of constructing the trust network from existing social networks, and to assess the validity of permission value assignments in the query process. Since the data owners only need to define the access rights of their closest contacts once, this privacy scheme can make private data sharing easily manageable by social network participants.

The role of interpersonal communication in the process of knowledge mobilization within a community-based organization: a network analysis.

PubMed

Gainforth, Heather L; Latimer-Cheung, Amy E; Athanasopoulos, Peter; Moore, Spencer; Ginis, Kathleen A Martin

2014-05-22

Diffusion of innovations theory has been widely used to explain knowledge mobilization of research findings. This theory posits that individuals who are more interpersonally connected within an organization may be more likely to adopt an innovation (e.g., research evidence) than individuals who are less interconnected. Research examining this tenet of diffusion of innovations theory in the knowledge mobilization literature is limited. The purpose of the present study was to use network analysis to examine the role of interpersonal communication in the adoption and mobilization of the physical activity guidelines for people with spinal cord injury (SCI) among staff in a community-based organization (CBO). The study used a cross-sectional, whole-network design. In total, 56 staff completed the network survey. Adoption of the guidelines was assessed using Rogers' innovation-decision process and interpersonal communication was assessed using an online network instrument. The patterns of densities observed within the network were indicative of a core-periphery structure revealing that interpersonal communication was greater within the core than between the core and periphery and within the periphery. Membership in the core, as opposed to membership in the periphery, was associated with greater knowledge of the evidence-based physical activity resources available and engagement in physical activity promotion behaviours (ps < 0.05). Greater in-degree centrality was associated with adoption of evidence-based behaviours (p < 0.05). Findings suggest that interpersonal communication is associated with knowledge mobilization and highlight how the network structure could be improved for further dissemination efforts. diffusion of innovations; network analysis; community-based organization; knowledge mobilization; knowledge translation, interpersonal communication.

Using a CLIPS expert system to automatically manage TCP/IP networks and their components

NASA Technical Reports Server (NTRS)

Faul, Ben M.

1991-01-01

A expert system that can directly manage networks components on a Transmission Control Protocol/Internet Protocol (TCP/IP) network is described. Previous expert systems for managing networks have focused on managing network faults after they occur. However, this proactive expert system can monitor and control network components in near real time. The ability to directly manage network elements from the C Language Integrated Production System (CLIPS) is accomplished by the integration of the Simple Network Management Protocol (SNMP) and a Abstract Syntax Notation (ASN) parser into the CLIPS artificial intelligence language.

Interdisciplinarity and Knowledge Networking: Co-Production of Climate-Authoritative Knowledge in Southern South America

ERIC Educational Resources Information Center

Hidalgo, Cecilia

2016-01-01

Interdisciplinarity and knowledge networking are at the core of current global, regional, and national initiatives concerning climate. Both scientifc knowledge and public participation are essential to enhance the capacity of different sectors and governments to respond to challenges posed by climate variability and change. Exchange and bridge…

Bayesian networks for maritime traffic accident prevention: benefits and challenges.

PubMed

Hänninen, Maria

2014-12-01

Bayesian networks are quantitative modeling tools whose applications to the maritime traffic safety context are becoming more popular. This paper discusses the utilization of Bayesian networks in maritime safety modeling. Based on literature and the author's own experiences, the paper studies what Bayesian networks can offer to maritime accident prevention and safety modeling and discusses a few challenges in their application to this context. It is argued that the capability of representing rather complex, not necessarily causal but uncertain relationships makes Bayesian networks an attractive modeling tool for the maritime safety and accidents. Furthermore, as the maritime accident and safety data is still rather scarce and has some quality problems, the possibility to combine data with expert knowledge and the easy way of updating the model after acquiring more evidence further enhance their feasibility. However, eliciting the probabilities from the maritime experts might be challenging and the model validation can be tricky. It is concluded that with the utilization of several data sources, Bayesian updating, dynamic modeling, and hidden nodes for latent variables, Bayesian networks are rather well-suited tools for the maritime safety management and decision-making. Copyright © 2014 Elsevier Ltd. All rights reserved.

Artificial neural networks as a useful tool to predict the risk level of Betula pollen in the air

NASA Astrophysics Data System (ADS)

Castellano-Méndez, M.; Aira, M. J.; Iglesias, I.; Jato, V.; González-Manteiga, W.

2005-05-01

An increasing percentage of the European population suffers from allergies to pollen. The study of the evolution of air pollen concentration supplies prior knowledge of the levels of pollen in the air, which can be useful for the prevention and treatment of allergic symptoms, and the management of medical resources. The symptoms of Betula pollinosis can be associated with certain levels of pollen in the air. The aim of this study was to predict the risk of the concentration of pollen exceeding a given level, using previous pollen and meteorological information, by applying neural network techniques. Neural networks are a widespread statistical tool useful for the study of problems associated with complex or poorly understood phenomena. The binary response variable associated with each level requires a careful selection of the neural network and the error function associated with the learning algorithm used during the training phase. The performance of the neural network with the validation set showed that the risk of the pollen level exceeding a certain threshold can be successfully forecasted using artificial neural networks. This prediction tool may be implemented to create an automatic system that forecasts the risk of suffering allergic symptoms.

The environmental management problem of Pohorje, Slovenia: A new group approach within ANP - SWOT framework.

PubMed

Grošelj, Petra; Zadnik Stirn, Lidija

2015-09-15

Environmental management problems can be dealt with by combining participatory methods, which make it possible to include various stakeholders in a decision-making process, and multi-criteria methods, which offer a formal model for structuring and solving a problem. This paper proposes a three-phase decision making approach based on the analytic network process and SWOT (strengths, weaknesses, opportunities and threats) analysis. The approach enables inclusion of various stakeholders or groups of stakeholders in particular stages of decision making. The structure of the proposed approach is composed of a network consisting of an objective cluster, a cluster of strategic goals, a cluster of SWOT factors and a cluster of alternatives. The application of the suggested approach is applied to a management problem of Pohorje, a mountainous area in Slovenia. Stakeholders from sectors that are important for Pohorje (forestry, agriculture, tourism and nature protection agencies) who can offer a wide range of expert knowledge were included in the decision-making process. The results identify the alternative of "sustainable development" as the most appropriate for development of Pohorje. The application in the paper offers an example of employing the new approach to an environmental management problem. This can also be applied to decision-making problems in various other fields. Copyright © 2015 Elsevier Ltd. All rights reserved.

Definition, aims, and implementation of GA(2) LEN Urticaria Centers of Reference and Excellence.

PubMed

Maurer, M; Metz, M; Bindslev-Jensen, C; Bousquet, J; Canonica, G W; Church, M K; Godse, K V; Grattan, C E; Hide, M; Kocatürk, E; Magerl, M; Makris, M; Meshkova, R; Saini, S S; Sussman, G; Toubi, E; Zhao, Z; Zuberbier, T; Gimenez-Arnau, A

2016-08-01

GA²LEN, the Global Allergy and Asthma European Network, has recently launched a program for the development, interaction, and accreditation of centers of reference and excellence in special areas of allergy embedded in its overall quality management of allergy centers of excellence. The first area chosen is urticaria. Urticaria is a common and debilitating condition and can be a challenge for both patients and treating physicians, especially when chronic. Centers of reference and excellence in urticaria (UCAREs) can help to improve the management of hard-to-treat conditions such as urticaria. Here, we describe the aims, the requirements and deliverables, the application process, and the audit and accreditation protocol for GA²LEN UCAREs. The main aims of GA²LEN UCAREs are to provide excellence in urticaria management, to increase the knowledge of urticaria by research and education, and to promote the awareness of urticaria by advocacy activities. To become a certified GA²LEN UCARE, urticaria centers have to apply and fulfill 32 requirements, defined by specific deliverables that are assessed during an audit visit. The GA²LEN UCARE program will result in a strong network of urticaria specialists, promote urticaria research, and harmonize and improve urticaria management globally. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

What A Long Strange Trip It's Been: Lessons Learned From NASA EOS, LTER, NEON, CZO And On To The Future With Sustainable Research Networks

NASA Astrophysics Data System (ADS)

Williams, M. W.

2014-12-01

The traditional, small-scale, incremental approach to environmental science is changing as researchers embrace a more integrated and multi-disciplinary approach to understanding how our natural systems work today and how they may respond in the future to forcings such as climate change. In situ networks are evolving in response to these challenges so as to provide the appropriate measurements to develop high-resolution spatial and temporal data sets across a wide range of platforms from microbial measurements to remote sensing. These large programs provide a unique set of challenges when compared to more traditional programs. Here I provide insights learned from my participation in a number of large programs, including NASA EOS, LTER, CZO, NEON, and WSC and how those experiences in environmental science can help us move forward towards more applied applications of environmental science, including sustainability initiatives. I'll chat about the importance of managerial and management skills, which most of us scientists prefer to avoid. I'll also chat about making decisions about what long-term measurements to make and when to stop. Data management is still the weakest part of environmental networks; what needs to be done. We have learned that these networks provide an important knowledge base that can lead to informed decisions leading to environmental, energy, social and cultural sustainability.

Cyber physical systems based on cloud computing and internet of things for energy efficiency

NASA Astrophysics Data System (ADS)

Suciu, George; Butca, Cristina; Suciu, Victor; Cretu, Alexandru; Fratu, Octavian

2016-12-01

Cyber Physical Systems (CPS) and energy efficiency play a major role in the context of industry expansion. Management practices for improving efficiency in the field of energy consumption became a priority of many major industries who are inefficient in terms of exploitation costs. The effort of adopting energy management means in an organization is quite challenging due to the lack of resources and expertise. One major problem consists in the lack of knowledge for energy management and practices. This paper aims to present authors' concept in creating a Cyber Physical Energy System (CPES) that will change organizations' way of consuming energy, by making them aware of their use. The presented concept will consider the security of the whole system and the easy integration with the existing electric network infrastructure.

TARGET's role in knowledge acquisition, engineering, validation, and documentation

NASA Technical Reports Server (NTRS)

Levi, Keith R.

1994-01-01

We investigate the use of the TARGET task analysis tool for use in the development of rule-based expert systems. We found TARGET to be very helpful in the knowledge acquisition process. It enabled us to perform knowledge acquisition with one knowledge engineer rather than two. In addition, it improved communication between the domain expert and knowledge engineer. We also found it to be useful for both the rule development and refinement phases of the knowledge engineering process. Using the network in these phases required us to develop guidelines that enabled us to easily translate the network into production rules. A significant requirement for TARGET remaining useful throughout the knowledge engineering process was the need to carefully maintain consistency between the network and the rule representations. Maintaining consistency not only benefited the knowledge engineering process, but also has significant payoffs in the areas of validation of the expert system and documentation of the knowledge in the system.

The Development of a Contextual Information Framework Model as a Potential IAEA Strategy to Maintain Radioactive Waste Knowledge

DOE Office of Scientific and Technical Information (OSTI.GOV)

Upshall, I.R.; McCarthy, G.J.

A contextual framework comprises 'entities' that exhibit one or more definable relationships with a particular 'event'. People, organisations, concepts, ideas, places, natural phenomena, events themselves, cultural artefacts including records, books, works of art can all be conceptualised as entities. If these entities are registered in an information management system where the relationships between them can be defined and systematically managed then it is possible to create a contextual information framework that represents a particular view of what occurs in real life. The careful identifying and mapping of the relationships between these entities and the selected event can lead rapidly tomore » the creation of an information network that closely reflects the human approach to knowledge acquisition and application. The 'event' referred to in this paper is the safe management of radioactive waste. It is widely accepted that society will expect that knowledge about the waste will be maintained for many decades, if not centuries. Delivering on this expectation will demand the application of management approaches that are both innovative and sustainable. Effective inter-generational transfer of information using many 'conventional' techniques will be highly dependent on societal stability - something that cannot be guaranteed over such long periods of time. Consequently, alternative approaches should be explored and, where appropriate, implemented to give reasonable assurance that future generations of waste custodians will not be unduly burdened by the need to recreate information about the waste long after its disposal. In actual fact, the contextual information framework model is not 'new technology' but simply a means for rationalising and representing the way humans naturally tend to use information in the pursuit of knowledge enhancement. By making use of multiple information entities and their relationships, it is often possible to convert otherwise impossibly complex socio-technical environments into information architectures or networks with remarkable and useful properties. The International Atomic Energy Agency, in its ongoing work to encourage the application of systems to manage radioactive waste information over the long term, has embraced the contextual information framework as a potentially viable approach to this particular challenge. To this end, it invited Member States to contribute to the production of a Safety Report that used the contextual information framework model, building on the wealth of existing IAEA guidance. The report focuses, not on the important area of records management, but on the benefits that can arise from the development of an information management approach that increases the likelihood that future generations will recognise the significance and value of the information contained in these records. Our understanding of 'inter-generational transfer' should extend beyond the simple physical transfer of records into an archival repository towards the establishment of a working culture that places sufficient contemporary information into a form that ensures it remains accessible, and ultimately enhances, the knowledge of future generations. Making information accessible is therefore the key and whilst the use of stable records media, storage environments and quality assurance are important elements, they cannot be considered solutions in themselves. This paper articulates some of the lessons that have been learned about using the contextual information framework model when applied to the long term management of radioactive waste. The draft IAEA Safety Report entitled 'Preservation and Transfer to Future Generations of Information Important to the Safety of Waste Disposal Facilities', on which this paper is based, is expected to be published in 2007. (authors)« less

A Study of Teacher-Mediated Enhancement of Students' Organization of Earth Science Knowledge Using Web Diagrams as a Teaching Device

NASA Astrophysics Data System (ADS)

Anderson, O. Roger; Contino, Julie

2010-10-01

Current research indicates that students with enhanced knowledge networks are more effective in learning science content and applying higher order thinking skills in open-ended inquiry learning. This research examined teacher implementation of a novel teaching strategy called “web diagramming,” a form of network mapping, in a secondary school earth science class. We report evidence for student improvement in knowledge networking, questionnaire-based reports by the students on the merits of web diagramming in terms of interest and usefulness, and information on the collaborating teacher’s perceptions of the process of implementation, including implications for teacher education. This is among the first reports that teachers can be provided with strategies to enhance student knowledge networking capacity, especially for those students whose initial networking scores are among the lowest.

A community of practice for knowledge translation trainees: an innovative approach for learning and collaboration.

PubMed

Urquhart, Robin; Cornelissen, Evelyn; Lal, Shalini; Colquhoun, Heather; Klein, Gail; Richmond, Sarah; Witteman, Holly O

2013-01-01

A growing number of researchers and trainees identify knowledge translation (KT) as their field of study or practice. Yet, KT educational and professional development opportunities and established KT networks remain relatively uncommon, making it challenging for trainees to develop the necessary skills, networks, and collaborations to optimally work in this area. The Knowledge Translation Trainee Collaborative is a trainee-initiated and trainee-led community of practice established by junior knowledge translation researchers and practitioners to: examine the diversity of knowledge translation research and practice, build networks with other knowledge translation trainees, and advance the field through knowledge generation activities. In this article, we describe how the collaborative serves as an innovative community of practice for continuing education and professional development in knowledge translation and present a logic model that provides a framework for designing an evaluation of its impact as a community of practice. The expectation is that formal and informal networking will lead to knowledge sharing and knowledge generation opportunities that improve individual members' competencies (eg, combination of skills, abilities, and knowledge) in knowledge translation research and practice and contribute to the development and advancement of the knowledge translation field. Copyright © 2013 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on CME, Association for Hospital Medical Education.

Practice innovation: the need for nimble data platforms to implement precision oncology care.

PubMed

Elfiky, Aymen; Zhang, Dongyang; Krishnan Nair, Hari K

2015-01-01

Given the drive toward personalized, value-based, and coordinated cancer care delivery, modern knowledge-based practice is being shaped within the context of an increasingly technology-driven healthcare landscape. The ultimate promise of 'precision medicine' is predicated on taking advantage of the range of new capabilities for integrating disease- and individual-specific data to define new taxonomies as part of a systems-based knowledge network. Specifically, with cancer being a constantly evolving complex disease process, proper care of an individual will require the ability to seamlessly integrate multi-dimensional 'omic' and clinical data. Importantly, however, the challenges of curating knowledge from multiple dynamic data sources and translating to practice at the point-of-care highlight parallel needs. As patients, caregivers, and their environments become more proactive in clinical care and management, practical success of precision medicine is equally dependent on the development of proper infrastructures for evolving data integration, platforms for knowledge representation in a clinically-relevant context, and implementation within a provider's work-life and workflow.

Understanding the scale of Marine protection in Hawai'i: from community-based management to the remote Northwestern Hawaiian Islands.

PubMed

Friedlander, Alan M; Stamoulis, Kostantinos A; Kittinger, John N; Drazen, Jeffrey C; Tissot, Brian N

2014-01-01

Ancient Hawaiians developed a sophisticated natural resource management system that included various forms of spatial management. Today there exists in Hawai'i a variety of spatial marine management strategies along a range of scales, with varying degrees of effectiveness. State-managed no-take areas make up less than 0.4% of nearshore waters, resulting in limited ecological and social benefits. There is increasing interest among communities and coastal stakeholders in integrating aspects of customary Hawaiian knowledge into contemporary co-management. A network of no-take reserves for aquarium fish on Hawai'i Island is a stakeholder-driven, adaptive management strategy that has been successful in achieving ecological objectives and economic benefits. A network of large-scale no-take areas for deepwater (100-400m) bottomfishes suffered from a lack of adequate data during their initiation; however, better technology, more ecological data, and stakeholder input have resulted in improvements and the ecological benefits are becoming clear. Finally, the Papahānaumokuākea Marine National Monument (PMNM) is currently the single largest conservation area in the United States, and one of the largest in the world. It is considered an unqualified success and is managed under a new model of collaborative governance. These case studies allow an examination of the effects of scale on spatial marine management in Hawai'i and beyond that illustrate the advantages and shortcomings of different management strategies. Ultimately a marine spatial planning framework should be applied that incorporates existing marine managed areas to create a holistic, regional, multi-use zoning plan engaging stakeholders at all levels in order to maximize resilience of ecosystems and communities.

Learning about knowledge: A complex network approach

DOE Office of Scientific and Technical Information (OSTI.GOV)

Fontoura Costa, Luciano da

2006-08-15

An approach to modeling knowledge acquisition in terms of walks along complex networks is described. Each subset of knowledge is represented as a node, and relations between such knowledge are expressed as edges. Two types of edges are considered, corresponding to free and conditional transitions. The latter case implies that a node can only be reached after visiting previously a set of nodes (the required conditions). The process of knowledge acquisition can then be simulated by considering the number of nodes visited as a single agent moves along the network, starting from its lowest layer. It is shown that hierarchicalmore » networks--i.e., networks composed of successive interconnected layers--are related to compositions of the prerequisite relationships between the nodes. In order to avoid deadlocks--i.e., unreachable nodes--the subnetwork in each layer is assumed to be a connected component. Several configurations of such hierarchical knowledge networks are simulated and the performance of the moving agent quantified in terms of the percentage of visited nodes after each movement. The Barabasi-Albert and random models are considered for the layer and interconnecting subnetworks. Although all subnetworks in each realization have the same number of nodes, several interconnectivities, defined by the average node degree of the interconnection networks, have been considered. Two visiting strategies are investigated: random choice among the existing edges and preferential choice to so far untracked edges. A series of interesting results are obtained, including the identification of a series of plateaus of knowledge stagnation in the case of the preferential movement strategy in the presence of conditional edges.« less

Community-based Monitoring of Water Resources in Remote Mountain Regions

NASA Astrophysics Data System (ADS)

Buytaert, W.; Hannah, D. M.; Dewulf, A.; Clark, J.; Zulkafli, Z. D.; Karpouzoglou, T.; Mao, F.; Ochoa-Tocachi, B. F.

2016-12-01

Remote mountain regions are often represented by pockets of poverty combined with accelerated environmental change. The combination of harsh climatic and topographical conditions with limited infrastructure puts severe pressures on local livelihoods, many of which rely strongly on local ecosystem services (ESS) such as agricultural production and water supply. It is therefore paramount to optimise the management of ESS for the benefit of local people. This is hindered by a scarcity of quantitative data about physical processes such as precipitation and river flow as well as qualitative data concerning the management of water and land. National and conventional scientific monitoring networks tend to be insufficient to cover adequately the spatial and temporal gradients. Additionally, the data that are being collected often fail to be converted into locally relevant and actionable knowledge for ESS management. In such conditions, community-based monitoring of natural resources may be an effective way to reduce this knowledge gap. The participatory nature of such monitoring also enhances knowledge co-production and integration in locally-based decision-making processes. Here, we present the results of a 4-year consortium project on the use of citizen science technologies for ecosystem services management (Mountain-EVO). The project analyzed ecosystem service dynamics and decision-making processes and implemented a comparative analysis of experiments with community-based monitoring of water resources in 4 remote mountain regions, i.e. Peru, Nepal, Kyrgyzstan, and Ethiopia. We find that community-based monitoring can have a transformative impact on local ESS management, because of its potential to be more inclusive, polycentric, and context-driven as compared to conventional monitoring. However, the results and effectiveness of community-based approaches depend strongly on the natural and socio-economic boundary conditions. As such, this requires a tailored and bottom-up approach to implementation, which ideally isrooted in locally-based set of actors that can act as catalysts for knowledge co-production between the scientific community and local ESS users.

Distributed network management in the flat structured mobile communities

NASA Astrophysics Data System (ADS)

Balandina, Elena

2005-10-01

Delivering proper management into the flat structured mobile communities is crucial for improving users experience and increase applications diversity in mobile networks. The available P2P applications do application-centric management, but it cannot replace network-wide management, especially when a number of different applications are used simultaneously in the network. The network-wide management is the key element required for a smooth transition from standalone P2P applications to the self-organizing mobile communities that maintain various services with quality and security guaranties. The classical centralized network management solutions are not applicable in the flat structured mobile communities due to the decentralized nature and high mobility of the underlying networks. Also the basic network management tasks have to be revised taking into account specialties of the flat structured mobile communities. The network performance management becomes more dependent on the current nodes' context, which also requires extension of the configuration management functionality. The fault management has to take into account high mobility of the network nodes. The performance and accounting managements are mainly targeted in maintain an efficient and fair access to the resources within the community, however they also allow unbalanced resource use of the nodes that explicitly permit it, e.g. as a voluntary donation to the community or due to the profession (commercial) reasons. The security management must implement the new trust models, which are based on the community feedback, professional authorization, and a mix of both. For fulfilling these and another specialties of the flat structured mobile communities, a new network management solution is demanded. The paper presents a distributed network management solution for flat structured mobile communities. Also the paper points out possible network management roles for the different parties (e.g. operators, service providing hubs/super nodes, etc.) involved in a service providing chain.

Reverse engineering highlights potential principles of large gene regulatory network design and learning.

PubMed

Carré, Clément; Mas, André; Krouk, Gabriel

2017-01-01

Inferring transcriptional gene regulatory networks from transcriptomic datasets is a key challenge of systems biology, with potential impacts ranging from medicine to agronomy. There are several techniques used presently to experimentally assay transcription factors to target relationships, defining important information about real gene regulatory networks connections. These techniques include classical ChIP-seq, yeast one-hybrid, or more recently, DAP-seq or target technologies. These techniques are usually used to validate algorithm predictions. Here, we developed a reverse engineering approach based on mathematical and computer simulation to evaluate the impact that this prior knowledge on gene regulatory networks may have on training machine learning algorithms. First, we developed a gene regulatory networks-simulating engine called FRANK (Fast Randomizing Algorithm for Network Knowledge) that is able to simulate large gene regulatory networks (containing 10 4 genes) with characteristics of gene regulatory networks observed in vivo. FRANK also generates stable or oscillatory gene expression directly produced by the simulated gene regulatory networks. The development of FRANK leads to important general conclusions concerning the design of large and stable gene regulatory networks harboring scale free properties (built ex nihilo). In combination with supervised (accepting prior knowledge) support vector machine algorithm we (i) address biologically oriented questions concerning our capacity to accurately reconstruct gene regulatory networks and in particular we demonstrate that prior-knowledge structure is crucial for accurate learning, and (ii) draw conclusions to inform experimental design to performed learning able to solve gene regulatory networks in the future. By demonstrating that our predictions concerning the influence of the prior-knowledge structure on support vector machine learning capacity holds true on real data ( Escherichia coli K14 network reconstruction using network and transcriptomic data), we show that the formalism used to build FRANK can to some extent be a reasonable model for gene regulatory networks in real cells.

Emerging Fabric of Science: Persistent Identifiers and Knowledge Networks

NASA Astrophysics Data System (ADS)

Hugo, W.

2017-12-01

There is an increasing emphasis on the use of persistent identifiers in the description of scientific activity, whether this is done to cite scholarly publications and research output, reliably identify role players such as funders and researchers, or to provide long-lasting references to controlled vocabulary. The ICSU World Data System has been promoting the establishment of a "Knowledge Network" to describe research activity, realising that parts of the network will be established as a federated `system', based on linkages between registries of persistent identifiers. In addition, there is a growing focus on not only the relationship between these major role players and associated digital objects, but also on the processes of science: provenance, reproducibility, and re-usability being significant topics of discussion. The paper will focus on description of the `Fabric of Science' from the perspectives of both structure and processes, review the state of implementation of real services and infrastructure in support of it. A case is made for inclusion of persistent identifiers into the mainstream activities of scientists and data infrastructure managers, and for the development of services, such as Scholix, to make better use of the relationships between digital objects and major role players. A proposal is made for the adoption of a federated system of services that are based on a hybrid graph-object framework similar to Scholix for recording the activity of scientific research. Finally, links to related ideas are explored: novel ways of representing of knowledge (such as Nanopublications) and the possibility that the publication paradigm currently in use may have to be amended.

Problem-Oriented Corporate Knowledge Base Models on the Case-Based Reasoning Approach Basis

NASA Astrophysics Data System (ADS)

Gluhih, I. N.; Akhmadulin, R. K.

2017-07-01

One of the urgent directions of efficiency enhancement of production processes and enterprises activities management is creation and use of corporate knowledge bases. The article suggests a concept of problem-oriented corporate knowledge bases (PO CKB), in which knowledge is arranged around possible problem situations and represents a tool for making and implementing decisions in such situations. For knowledge representation in PO CKB a case-based reasoning approach is encouraged to use. Under this approach, the content of a case as a knowledge base component has been defined; based on the situation tree a PO CKB knowledge model has been developed, in which the knowledge about typical situations as well as specific examples of situations and solutions have been represented. A generalized problem-oriented corporate knowledge base structural chart and possible modes of its operation have been suggested. The obtained models allow creating and using corporate knowledge bases for support of decision making and implementing, training, staff skill upgrading and analysis of the decisions taken. The universal interpretation of terms “situation” and “solution” adopted in the work allows using the suggested models to develop problem-oriented corporate knowledge bases in different subject domains. It has been suggested to use the developed models for making corporate knowledge bases of the enterprises that operate engineer systems and networks at large production facilities.

Grower networks support adoption of innovations in pollination management: The roles of social learning, technical learning, and personal experience.

PubMed

Garbach, Kelly; Morgan, Geoffrey P

2017-12-15

Management decisions underpinning availability of ecosystem services and the organisms that provide them in agroecosystems, such as pollinators and pollination services, have emerged as a foremost consideration for both conservation and crop production goals. There is growing evidence that innovative management practices can support diverse pollinators and increase crop pollination. However, there is also considerable debate regarding factors that support adoption of these innovative practices. This study investigated pollination management practices and related knowledge systems in a major crop producing region of southwest Michigan in the United States, where 367 growers were surveyed to evaluate adoption of three innovative practices that are at various stages of adoption. The goals of this quantitative, social survey were to investigate grower experience with concerns and benefits associated with each practice, as well as the influence of grower networks, which are comprised of contacts that reflect potential pathways for social and technical learning. The results demonstrated that 17% of growers adopted combinations of bees (e.g. honey bees, Apis mellifera, with other species), representing an innovation in use by early adopters; 49% of growers adopted flowering cover crops, an innovation in use by the early majority 55% of growers retained permanent habitat for pollinators, an innovation in use by the late majority. Not all growers adopted innovative practices. We found that growers' personal experience with potential benefits and concerns related to the management practices had significant positive and negative relationships, respectively, with adoption of all three innovations. The influence of these communication links likely has different levels of importance, depending on the stage of the adoption that a practice is experiencing in the agricultural community. Social learning was positively associated with adopting the use of combinations of bees, highlighting the potentially critical roles of peer-to-peer networks and social learning in supporting early stages of adoption of innovations. Engaging with grower networks and understanding grower experience with benefits and concerns associated with innovative practices is needed to inform outreach, extension, and policy efforts designed to stimulate management innovations in agroecosystems. Copyright © 2017 Elsevier Ltd. All rights reserved.

2008 Year in Review

NASA Technical Reports Server (NTRS)

Figueroa, Jorge Fernando

2008-01-01

In February of 2008; NASA Stennis Space Center (SSC), NASA Kennedy Space Center (KSC), and The Applied Research Laboratory at Penn State University demonstrated a pilot implementation of an Integrated System Health Management (ISHM) capability at the Launch Complex 20 of KSC. The following significant accomplishments are associated with this development: (1) implementation of an architecture for ground operations ISHM, based on networked intelligent elements; (2) Use of standards for management of data, information, and knowledge (DIaK) leading to modular ISHM implementation with interoperable elements communicating according to standards (three standards were used: IEEE 1451 family of standards for smart sensors and actuators, Open Systems Architecture for Condition Based Maintenance (OSA-CBM) standard for communicating DIaK describing the condition of elements of a system, and the OPC standard for communicating data); (3) ISHM implementation using interoperable modules addressing health management of subsystems; and (4) use of a physical intelligent sensor node (smart network element or SNE capable of providing data and health) along with classic sensors originally installed in the facility. An operational demonstration included detection of anomalies (sensor failures, leaks, etc.), determination of causes and effects, communication among health nodes, and user interfaces.

Gastro-oesophageal cancer: facts, myths and surgical folk lore.

PubMed

Park, K G M

2002-12-01

The prognosis of patients with gastric and oesophageal cancers remains poor but increased knowledge of the factors involved in carcinogenesis and a better understanding of the disease process has led to strategies to improve outcomes. These are discussed under the following headings: (1) Prevention of the disease, (2) early detection of tumours, (3) treatment selection and (4) treatment. The likely impact of developments in each of these areas is considered in relation to population-based data from the Scottish Audit of Gastro-Oesophageal Cancer (SAGOC). Although there are a number of novel developments in the management of gastric and oesophageal cancer it is only by the conduct of controlled trials that the value of these will be determined. More immediate improvements in patient care may be derived from rationalisation of existing resources to ensure that all patients benefit from early diagnosis, the appropriate selection and delivery of treatment. One model of care, which may ensure this is the development of managed clinical networks, would maintain the involvement of all units in the management and treatment of upper GI cancers to a level that is possible with the facilities available. At the same time the patients requiring more specialised treatment would benefit from established referral networks

Actor Networks and the Division of Knowledge in the University.

ERIC Educational Resources Information Center

Busch, Lawrence

This paper discusses the current division of knowledge at the college and university level, its historical roots, and the application of Actor Network Theory (ANT) to arrive at an explanation of the permanence of the current division of knowledge as well as what form a new division of knowledge might take. It finds fragmentation and disintegration…

V2010 Security Planning and Operations: A Social Network Study of Key Information Sharing Relationships

DTIC Science & Technology

2011-05-01

la scurit. Je vous remercie de votre temps et de votre contribution. Susan G. McIntyre Knowledge Management/ Gestion du savoir...National Defence, 2011 © Sa Majesté la Reine (en droit du Canada), telle que représentée par le ministre de la Défense nationale, 2011 DRDC CSS TR 2011...avantages du renforcement de la communication horizontale au sein du gouvernement fédéral, surtout en présence d’organismes de

Telecommunications Systems Design Techniques Handbook

NASA Technical Reports Server (NTRS)

Edelson, R. E. (Editor)

1972-01-01

The Deep Space Network (DSN) increasingly supports deep space missions sponsored and managed by organizations without long experience in DSN design and operation. The document is intended as a textbook for those DSN users inexperienced in the design and specification of a DSN-compatible spacecraft telecommunications system. For experienced DSN users, the document provides a reference source of telecommunication information which summarizes knowledge previously available only in a multitude of sources. Extensive references are quoted for those who wish to explore specific areas more deeply.

["Healthy Region Lower Rhine ... against Stroke": the concept and implementation of an intersectoral public health programme 2003-2008].

PubMed

Rau, Rüdiger; Rumpeltin, Carsten; Hoop, Renate; Pfeiffer, Holger; Drees, Jeannette; Paas, Birgit; Schmitz-Buhl, Gabriele; Geraedts, Max

2009-01-01

When the Public Health Service Act of North Rhine-Westphalia (OGDG-NRW) came into effect local health conferences (KGK) were established in both rural and urban districts. These conferences are designed to optimize medical and social healthcare at the local level. In 2001 KGK managers from six neighbouring districts founded the Network Healthy Lower Rhine. From 2003 to 2008 this network was able to implement the "Healthy Lower Rhine ... against Stroke" programme. The initiative primarily aims at improving community knowledge of stroke with regard to 1) proper action ("Stroke is a medical emergency, so call the emergency number 112!") and 2) stroke warning signs. Eventually these steps are intended 3) to reduce prehospital delays. Before the program started a project plan was developed including evaluation approaches. The central elements of the concept include local health targets, intersectoral collaboration and networking, 5-year programme duration, social marketing and a communication strategy. Initially, a needs assessment was conducted using local expert panels, surveys on community knowledge, and clinical data sampling to assess healthcare quality. Subsequently, a package of measures with a "two-level implementation model" was prepared. Normative evaluation consisted of self-reflection within the network-team. The summative evaluation was based on two approaches: surveys on community knowledge of stroke (city of Düsseldorf and district of Wesel) as well as data sample collection in hospitals on health care quality. The central elements of the concepts were implemented. Community surveys revealed similar deficits in community knowledge of stroke in the city of Dusseldorf (2000 and 2004) and in the district of Wesel (2002 and 2008). Knowledge of proper action (call 112 in case of stroke) significantly improved in the Dusseldorf community from 32.5% of correct statements in 2000 to 50.6% correct answers in 2004 and, finally, in 2008 to 69% correct answers in the Wesel district. Hospitals in the district of Wesel collected three-month samples of data on prehospital times in 2003 (before the initiative was started) and in 2005. There was no significant change: the portion of 28% of patients being hospitalized within a three-hour window after the onset of stroke symptoms remained unchanged. Due to medical progress and demographic changes stroke remains a paramount issue of public health in Germany. With its programme "Healthy Lower Rhine ... against Stroke" the Network Healthy Lower Rhine provides a strategy for launching and implementing a complex and intersectoral public health intervention.

CMA Member Survey: Network Management Systems Showing Little Improvement.

ERIC Educational Resources Information Center

Lusa, John M.

1998-01-01

Discusses results of a survey of 112 network and telecom managers--members of the Communications Managers Association (CMA)--to identify problems relating to the operation of large enterprise networks. Results are presented in a table under categories of: respondent profile; network management systems; carrier management; enterprise management;…

Integrated groundwater data management

USGS Publications Warehouse

Fitch, Peter; Brodaric, Boyan; Stenson, Matt; Booth, Nathaniel; Jakeman, Anthony J.; Barreteau, Olivier; Hunt, Randall J.; Rinaudo, Jean-Daniel; Ross, Andrew

2016-01-01

The goal of a data manager is to ensure that data is safely stored, adequately described, discoverable and easily accessible. However, to keep pace with the evolution of groundwater studies in the last decade, the associated data and data management requirements have changed significantly. In particular, there is a growing recognition that management questions cannot be adequately answered by single discipline studies. This has led a push towards the paradigm of integrated modeling, where diverse parts of the hydrological cycle and its human connections are included. This chapter describes groundwater data management practices, and reviews the current state of the art with enterprise groundwater database management systems. It also includes discussion on commonly used data management models, detailing typical data management lifecycles. We discuss the growing use of web services and open standards such as GWML and WaterML2.0 to exchange groundwater information and knowledge, and the need for national data networks. We also discuss cross-jurisdictional interoperability issues, based on our experience sharing groundwater data across the US/Canadian border. Lastly, we present some future trends relating to groundwater data management.

Knowledge translation: An interprofessional approach to integrating a pain consult team within an acute care unit.

PubMed

Feldman, Kira; Berall, Anna; Karuza, Jurgis; Senderovich, Helen; Perri, Giulia-Anna; Grossman, Daphna

2016-11-01

Management of pain in the frail elderly presents many challenges in both assessment and treatment, due to the presence of multiple co-morbidities, polypharmacy, and cognitive impairment. At Baycrest Health Sciences, a geriatric care centre, pain in its acute care unit had been managed through consultations with the pain team on a case-by-case basis. In an intervention informed by knowledge translation (KT), the pain specialists integrated within the social network of the acute care team for 6 months to disseminate their expertise. A survey was administered to staff on the unit before and after the intervention of the pain team to understand staff perceptions of pain management. Pre- and post-comparisons of the survey responses were analysed by using t-tests. This study provided some evidence for the success of this interprofessional education initiative through changes in staff confidence with respect to pain management. It also showed that embedding the pain team into the acute care team supported the KT process as an effective method of interprofessional team building. Incorporating the pain team into the acute care unit to provide training and ongoing decision support was a feasible strategy for KT and could be replicated in other clinical settings.

SISL and SIRL: Two knowledge dissemination models with leader nodes on cooperative learning networks

NASA Astrophysics Data System (ADS)

Li, Jingjing; Zhang, Yumei; Man, Jiayu; Zhou, Yun; Wu, Xiaojun

2017-02-01

Cooperative learning is one of the most effective teaching methods, which has been widely used. Students' mutual contact forms a cooperative learning network in this process. Our previous research demonstrated that the cooperative learning network has complex characteristics. This study aims to investigating the dynamic spreading process of the knowledge in the cooperative learning network and the inspiration of leaders in this process. To this end, complex network transmission dynamics theory is utilized to construct the knowledge dissemination model of a cooperative learning network. Based on the existing epidemic models, we propose a new susceptible-infected-susceptible-leader (SISL) model that considers both students' forgetting and leaders' inspiration, and a susceptible-infected-removed-leader (SIRL) model that considers students' interest in spreading and leaders' inspiration. The spreading threshold λcand its impact factors are analyzed. Then, numerical simulation and analysis are delivered to reveal the dynamic transmission mechanism of knowledge and leaders' role. This work is of great significance to cooperative learning theory and teaching practice. It also enriches the theory of complex network transmission dynamics.

An efficient management system for wireless sensor networks.

PubMed

Ma, Yi-Wei; Chen, Jiann-Liang; Huang, Yueh-Min; Lee, Mei-Yu

2010-01-01

Wireless sensor networks have garnered considerable attention recently. Networks typically have many sensor nodes, and are used in commercial, medical, scientific, and military applications for sensing and monitoring the physical world. Many researchers have attempted to improve wireless sensor network management efficiency. A Simple Network Management Protocol (SNMP)-based sensor network management system was developed that is a convenient and effective way for managers to monitor and control sensor network operations. This paper proposes a novel WSNManagement system that can show the connections stated of relationships among sensor nodes and can be used for monitoring, collecting, and analyzing information obtained by wireless sensor networks. The proposed network management system uses collected information for system configuration. The function of performance analysis facilitates convenient management of sensors. Experimental results show that the proposed method enhances the alive rate of an overall sensor node system, reduces the packet lost rate by roughly 5%, and reduces delay time by roughly 0.2 seconds. Performance analysis demonstrates that the proposed system is effective for wireless sensor network management.

Automatic Line Network Extraction from Aerial Imagery of Urban Areas through Knowledge Based Image Analysis

DTIC Science & Technology

1989-08-01

Automatic Line Network Extraction from Aerial Imangery of Urban Areas Sthrough KnowledghBased Image Analysis N 04 Final Technical ReportI December...Automatic Line Network Extraction from Aerial Imagery of Urban Areas through Knowledge Based Image Analysis Accesion For NTIS CRA&I DTIC TAB 0...paittern re’ognlition. blac’kboardl oriented symbollic processing, knowledge based image analysis , image understanding, aer’ial imsagery, urban area, 17

”We own the illness”: a qualitative study of networks in two communities with mixed ethnicity in Northern Norway

PubMed Central

Langås-Larsen, Anette; Salamonsen, Anita; Kristoffersen, Agnete Egilsdatter; Hamran, Torunn; Evjen, Bjørg; Stub, Trine

2018-01-01

ABSTRACT Background: When people in Northern Norway get ill, they often use traditional medicine. The global aim of this study was to examine the extended family networks’ function and responsibility in cases of illness in the family, in two Northern Norwegian communities with a population of mixed ethnicity. Methods: Semi-structured individual interviews with 13 participants and 4 focus group interviews with total 11 participants were conducted. The text data was transcribed verbatim and analysed based on the criteria for content analysis. Results: The participants grew up in areas where it was common to seek help from traditional healers. They were organized in networks and shared responsibility for the patient and they provided practical help and support for the family. According to the networks, health-care personnel should make room for the entire network to visit the patient in severe and life-threatening situations. Conclusion: Traditional networks are an extra resource for people in these communities. The networks seem to be essential in handling and disseminating hope and manageability on an individual as well as a collective level. Health personnel working in communities with mixed ethnicity should have thorough knowledge of the mixed culture, including the importance of traditional network to the patients. PMID:29466927

A Neural Network Model to Learn Multiple Tasks under Dynamic Environments

NASA Astrophysics Data System (ADS)

Tsumori, Kenji; Ozawa, Seiichi

When environments are dynamically changed for agents, the knowledge acquired in an environment might be useless in future. In such dynamic environments, agents should be able to not only acquire new knowledge but also modify old knowledge in learning. However, modifying all knowledge acquired before is not efficient because the knowledge once acquired may be useful again when similar environment reappears and some knowledge can be shared among different environments. To learn efficiently in such environments, we propose a neural network model that consists of the following modules: resource allocating network, long-term & short-term memory, and environment change detector. We evaluate the model under a class of dynamic environments where multiple function approximation tasks are sequentially given. The experimental results demonstrate that the proposed model possesses stable incremental learning, accurate environmental change detection, proper association and recall of old knowledge, and efficient knowledge transfer.

A versatile and interoperable network sensors for water resources monitoring

NASA Astrophysics Data System (ADS)

Ortolani, Alberto; Brandini, Carlo; Costantini, Roberto; Costanza, Letizia; Innocenti, Lucia; Sabatini, Francesco; Gozzini, Bernardo

2010-05-01

Monitoring systems to assess water resources quantity and quality require extensive use of in-situ measurements, that have great limitations like difficulties to access and share data, and to customise and easy reconfigure sensors network to fulfil end-users needs during monitoring or crisis phases. In order to address such limitations Sensor Web Enablement technologies for sensors management have been developed and applied to different environmental context under the EU-funded OSIRIS project (Open architecture for Smart and Interoperable networks in Risk management based on In-situ Sensors, www.osiris-fp6.eu). The main objective of OSIRIS was to create a monitoring system to manage different environmental crisis situations, through an efficient data processing chain where in-situ sensors are connected via an intelligent and versatile network infrastructure (based on web technologies) that enables end-users to remotely access multi-domain sensors information. Among the project application, one was focused on underground fresh-water monitoring and management. With this aim a monitoring system to continuously and automatically check water quality and quantity has been designed and built in a pilot test, identified as a portion of the Amiata aquifer feeding the Santa Fiora springs (Grosseto, Italy). This aquifer present some characteristics that make it greatly vulnerable under some conditions. It is a volcanic aquifer with a fractured structure. The volcanic nature in Santa Fiora causes levels of arsenic concentrations that normally are very close to the threshold stated by law, but that sometimes overpass such threshold for reasons still not fully understood. The presence of fractures makes the infiltration rate very inhomogeneous from place to place and very high in correspondence of big fractures. In case of liquid-pollutant spills (typically hydrocarbons spills from tanker accidents or leakage from house tanks containing fuel for heating), these fractures can act as shortcuts to the heart of the aquifer, causing water contamination much faster than what inferable from average infiltration rates. A new system has been set up, upgrading a legacy sensor network with new sensors to address the monitoring and emergency phase management. Where necessary sensors have been modified in order to manage the whole sensor network through SWE services. The network manage sensors for water parameters (physical and chemical) and for atmospheric ones (for supporting the management of accidental crises). A main property of the developed architecture is that it can be easily reconfigured to pass from the monitoring to the alert phase, by changing sampling frequencies of interesting parameters, or deploying specific additional sensors on identified optimal positions (as in case of the hydrocarbon spill). A hydrogeological model, coupled through a hydrological interface to the atmospheric forcing, has been implemented for the area. Model products (accessed through the same web interface than sensors) give a fundamental added value to the upgraded sensors network (e.g. for data merging procedures). Together with the available measurements, it is shown how the model improves the knowledge of the local hydrogeological system, gives a fundamental support to eventually reconfigure the system (e.g. support on transportable sensors position). The network, basically conceived for real-time monitoring, allow to accumulate an unprecedent amount of information for the aquifer. The availability of such a large set of data (in terms of continuously measured water levels, fluxes, precipitation, concentrations, etc.) from the system, gives a unique opportunity for studying the influences of hydrogeological and geopedological parameters on arsenic and concentrations of other chemicals that are naturally present in water.

Extending Wireless Rechargeable Sensor Network Life without Full Knowledge.

PubMed

Najeeb, Najeeb W; Detweiler, Carrick

2017-07-17

When extending the life of Wireless Rechargeable Sensor Networks (WRSN), one challenge is charging networks as they grow larger. Overcoming this limitation will render a WRSN more practical and highly adaptable to growth in the real world. Most charging algorithms require a priori full knowledge of sensor nodes' power levels in order to determine the nodes that require charging. In this work, we present a probabilistic algorithm that extends the life of scalable WRSN without a priori power knowledge and without full network exploration. We develop a probability bound on the power level of the sensor nodes and utilize this bound to make decisions while exploring a WRSN. We verify the algorithm by simulating a wireless power transfer unmanned aerial vehicle, and charging a WRSN to extend its life. Our results show that, without knowledge, our proposed algorithm extends the life of a WRSN on average 90% of what an optimal full knowledge algorithm can achieve. This means that the charging robot does not need to explore the whole network, which enables the scaling of WRSN. We analyze the impact of network parameters on our algorithm and show that it is insensitive to a large range of parameter values.

Extending Wireless Rechargeable Sensor Network Life without Full Knowledge

PubMed Central

Najeeb, Najeeb W.; Detweiler, Carrick

2017-01-01

When extending the life of Wireless Rechargeable Sensor Networks (WRSN), one challenge is charging networks as they grow larger. Overcoming this limitation will render a WRSN more practical and highly adaptable to growth in the real world. Most charging algorithms require a priori full knowledge of sensor nodes’ power levels in order to determine the nodes that require charging. In this work, we present a probabilistic algorithm that extends the life of scalable WRSN without a priori power knowledge and without full network exploration. We develop a probability bound on the power level of the sensor nodes and utilize this bound to make decisions while exploring a WRSN. We verify the algorithm by simulating a wireless power transfer unmanned aerial vehicle, and charging a WRSN to extend its life. Our results show that, without knowledge, our proposed algorithm extends the life of a WRSN on average 90% of what an optimal full knowledge algorithm can achieve. This means that the charging robot does not need to explore the whole network, which enables the scaling of WRSN. We analyze the impact of network parameters on our algorithm and show that it is insensitive to a large range of parameter values. PMID:28714936

An empirical Bayes approach to network recovery using external knowledge.

PubMed

Kpogbezan, Gino B; van der Vaart, Aad W; van Wieringen, Wessel N; Leday, Gwenaël G R; van de Wiel, Mark A

2017-09-01

Reconstruction of a high-dimensional network may benefit substantially from the inclusion of prior knowledge on the network topology. In the case of gene interaction networks such knowledge may come for instance from pathway repositories like KEGG, or be inferred from data of a pilot study. The Bayesian framework provides a natural means of including such prior knowledge. Based on a Bayesian Simultaneous Equation Model, we develop an appealing Empirical Bayes (EB) procedure that automatically assesses the agreement of the used prior knowledge with the data at hand. We use variational Bayes method for posterior densities approximation and compare its accuracy with that of Gibbs sampling strategy. Our method is computationally fast, and can outperform known competitors. In a simulation study, we show that accurate prior data can greatly improve the reconstruction of the network, but need not harm the reconstruction if wrong. We demonstrate the benefits of the method in an analysis of gene expression data from GEO. In particular, the edges of the recovered network have superior reproducibility (compared to that of competitors) over resampled versions of the data. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

[A network of LIFE projects to promote the transfer and exchange of knowledge on environment and health].

PubMed

Cori, Liliana; Carducci, Annalaura; Donzelli, Gabriele; La Rocca, Cinzia; Bianchi, Fabrizio

2018-01-01

Eleven projects within the LIFE programme (through which the Directorate-General for Environment of the European Commission provides funding for projects aim at protecting environment and nature) addressing environmental-health-related issues have been involved in a collaborative network called KTE LIFE EnvHealth Network. The shared issues tackled by that projects are knowledge transfer and exchange (KTE). The objective of the LIFE programme is to support the implementation of the environmental legislation in the European Union, to provide new tools and knowledge that will help to better protect both the territory and the communities. Transferring knowledge to decision makers, at the appropriate and effective level, is therefore a central function of the projects. The Network promotes national and international networking, which intends to involve other projects, to provide methodological support, to make information and successful practices circulate, with the aim of multiplying the energies of each project involved.

Integrated obesity care management system -implementation and research protocol

PubMed Central

Baillargeon, Jean-Patrice; Carpentier, André; Donovan, Denise; Fortin, Martin; Grant, Andrew; Simoneau-Roy, Judith; St-Cyr-Tribble, Denise; Xhignesse, Mariane; Langlois, Marie-France

2007-01-01

Background Nearly 50% of Canadians are overweight and their number is increasing rapidly. The majority of obese subjects are treated by primary care physicians (PCPs) who often feel uncomfortable with the management of obesity. The current research proposal is aimed at the development and implementation of an innovative, integrated, interdisciplinary obesity care management system involving both primary and secondary care professionals. Methods We will use both action and evaluative research in order to achieve the following specific objectives. The first one is to develop and implement a preceptorship-based continuing medical education (CME) program complemented by a web site for physicians and nurses working in Family Medicine Groups (FMGs). This CME will be based on needs assessment and will be validated by one FMG using questionnaires and semi structured interviews. Also, references and teaching tools will be available for participants on the web site. Our second objective is to establish a collaborative intra and inter-regional interdisciplinary network to enable on-going expertise update and networking for FMG teams. This tool consists of a discussion forum and monthly virtual meetings of all participants. Our third objective is to evaluate the implementation of our program for its ability to train 8 FMGs per year, the access and utilization of electronic tools and the participants' satisfaction. This will be measured with questionnaires, web logging tools and group interviews. Our fourth objective is to determine the impact for the participants regarding knowledge and expertise, attitudes and perceptions, self-efficacy for the management of obesity, and changes in FMG organization for obesity management. Questionnaires and interviews will be used for this purpose. Our fifth objective is to deliver transferable knowledge for health professionals and decision-makers. Strategies and pitfalls of setting up this program will also be identified. Conclusion This project is relevant to health system's decision-makers who are confronted with an important increase in the prevalence of obesity. It is therefore critical to develop strategies allowing the management of obesity in the 1st line setting. Results of this research project could therefore influence health care organization in the field of obesity but also eventually for other chronic diseases. PMID:17927835

Integrating Water Quality and River Rehabilitation Management - A Decision-Analytical Perspective

NASA Astrophysics Data System (ADS)

Reichert, P.; Langhans, S.; Lienert, J.; Schuwirth, N.

2009-04-01

Integrative river management involves difficult decisions about alternative measures to improve their ecological state. For this reason, it seems useful to apply knowledge from the decision sciences to support river management. We discuss how decision-analytical elements can be employed for designing an integrated river management procedure. An important aspect of this procedure is to clearly separate scientific predictions of the consequences of alternatives from objectives to be achieved by river management. The key elements of the suggested procedure are (i) the quantitative elicitation of the objectives from different stakeholder groups, (ii) the compilation of the current scientific knowledge about the consequences of the effects resulting from suggested measures in the form of a probabilistic mathematical model, and (iii) the use of these predictions and valuations to prioritize alternatives, to uncover conflicting objectives, to support the design of better alternatives, and to improve the transparency of communication about the chosen management strategy. The development of this procedure led to insights regarding necessary steps to be taken for rational decision-making in river management, to guidelines about the use of decision-analytical techniques for performing these steps, but also to new insights about the application of decision-analytical techniques in general. In particular, the consideration of the spatial distribution of the effects of measures and the potential added value of connected rehabilitated river reaches leads to favoring measures that have a positive effect beyond a single river reach. As these effects only propagate within the river network, this results in a river basin oriented management concept as a consequence of a rational decision support procedure, rather than as an a priori management paradigm. There are also limitations to the support that can be expected from the decision-analytical perspective. It will not provide the societal values that are driving prioritization in river management, it will only support their elicitation and rational use. This is particularly important for the assessment of micro-pollutants because of severe limitations in scientific knowledge of their effects on river ecosystems. This makes the influence of pollution by micro-pollutants on prioritization of measures strongly dependent on the weight of the precautionary principle relative to other societal objectives of river management.

Knowledge transfer within EU-funded marine science research - a viewpoint

NASA Astrophysics Data System (ADS)

Bayliss-Brown, Georgia; Cheallachaín, Cliona Ní

2016-04-01

Knowledge transfer, in its most inherent form, can be tracked back to the earliest phase of the Neolithic Revolution, 10,000 years ago, at a time when innovators shared their thoughts on crop cultivation and livestock farming (Bellwood, 2004). Not to be mistaken for science transfer - the export of modern science to non-scientific audiences - it was in the 1960s, that modern knowledge transfer was initiated, when reporting research achievements shifted towards having institutional and political agendas (Lipphardt & Ludwig, 2011). Albeit that the economic contribution of scientific research has been scrutinised for decades; today, there is a pronounced need for the evaluation of its social, cultural and ecological impact. To have impact, it is essential that scientific knowledge is clear and accessible, as well as robust and credible, so that it can be successfully transferred and applied by those identifying solutions for today's societal and environmental challenges. This phenomenon is receiving growing academic interest, where publications including "knowledge transfer" in the title have increased near exponentially for 60 years. Furthermore, we are seeing a definite shift towards embedding a mission of knowledge transfer in Public Research Organisations. This new approach is rewarding researchers whom deliver on all three institutional missions: teaching, research and knowledge transfer. In addition, the European Commission (2008) recommends that "knowledge transfer between universities and industry is made a permanent political and operational priority" and that "sufficient resources and incentives [be] available to public research organisations and their staff to engage in knowledge transfer activities". It is also anticipated that funding agencies will soon make pathways-to-impact statements, also known as knowledge transfer plans, a mandatory requirement of all project proposals. AquaTT is a leader in scientific knowledge management, including knowledge transfer and dissemination. This Dublin-based SME has an ever-growing portfolio of FP7 and Horizon 2020 projects where they hold knowledge management responsibilities. In this session, we will present AquaTT's experiences in knowledge management for several European Union-funded marine research projects; including MarineTT (http://marinett.eu/) that was recognised as an exemplar project in the ex post evaluation of FP7 to the European Commission. These insights will be supplemented with an overview of the AquaTT-developed step-by-step knowledge transfer methodology, as used by the COLUMBUS project - the EU's flagship Blue Growth and Knowledge Transfer initiative (http://www.columbusproject.eu/). This session will provide a platform to launch AquaTT's European knowledge transfer network, established to support the research community in fostering a culture that recognises and rewards knowledge transfer between scientists and end-users (industry, policy, and wider society), thereby ensuring that research achieves its maximum potential impact. References Bellwood, P. (2004) The First Farmers: Origins of Agricultural Societies. Malden, MA. European Commission (2008) recommendation on the management of intellectual property in knowledge transfer activities and code of practice for universities and other public research organisations http://ec.europa.eu/invest-in-research/pdf/ip_recommendation_en.pdf Lipphardt, V. and D. Ludwig (2011) Knowledge transfer and science transfer. http://ieg-ego.eu/en/threads/theories-and-methods/knowledge-transfer/veronika-lipphardt-david-ludwig-knowledge-transfer-and-science-transfer

ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining.

PubMed

Huan, Tianxiao; Sivachenko, Andrey Y; Harrison, Scott H; Chen, Jake Y

2008-08-12

New systems biology studies require researchers to understand how interplay among myriads of biomolecular entities is orchestrated in order to achieve high-level cellular and physiological functions. Many software tools have been developed in the past decade to help researchers visually navigate large networks of biomolecular interactions with built-in template-based query capabilities. To further advance researchers' ability to interrogate global physiological states of cells through multi-scale visual network explorations, new visualization software tools still need to be developed to empower the analysis. A robust visual data analysis platform driven by database management systems to perform bi-directional data processing-to-visualizations with declarative querying capabilities is needed. We developed ProteoLens as a JAVA-based visual analytic software tool for creating, annotating and exploring multi-scale biological networks. It supports direct database connectivity to either Oracle or PostgreSQL database tables/views, on which SQL statements using both Data Definition Languages (DDL) and Data Manipulation languages (DML) may be specified. The robust query languages embedded directly within the visualization software help users to bring their network data into a visualization context for annotation and exploration. ProteoLens supports graph/network represented data in standard Graph Modeling Language (GML) formats, and this enables interoperation with a wide range of other visual layout tools. The architectural design of ProteoLens enables the de-coupling of complex network data visualization tasks into two distinct phases: 1) creating network data association rules, which are mapping rules between network node IDs or edge IDs and data attributes such as functional annotations, expression levels, scores, synonyms, descriptions etc; 2) applying network data association rules to build the network and perform the visual annotation of graph nodes and edges according to associated data values. We demonstrated the advantages of these new capabilities through three biological network visualization case studies: human disease association network, drug-target interaction network and protein-peptide mapping network. The architectural design of ProteoLens makes it suitable for bioinformatics expert data analysts who are experienced with relational database management to perform large-scale integrated network visual explorations. ProteoLens is a promising visual analytic platform that will facilitate knowledge discoveries in future network and systems biology studies.

Cyber Friendly Fire

DOE Office of Scientific and Technical Information (OSTI.GOV)

Greitzer, Frank L.; Carroll, Thomas E.; Roberts, Adam D.

Cyber friendly fire (FF) is a new concept that has been brought to the attention of Department of Defense (DoD) stakeholders through two workshops that were planned and conducted by the Air Force Research Laboratory (AFRL) and research conducted for AFRL by the Pacific Northwest National Laboratory. With this previous work in mind, we offer a definition of cyber FF as intentional offensive or defensive cyber/electronic actions intended to protect cyber systems against enemy forces or to attack enemy cyber systems, which unintentionally harms the mission effectiveness of friendly or neutral forces. Just as with combat friendly fire, a fundamentalmore » need in avoiding cyber FF is to maintain situation awareness (SA). We suggest that cyber SA concerns knowledge of a system's topology (connectedness and relationships of the nodes in a system), and critical knowledge elements such as the characteristics and vulnerabilities of the components that comprise the system (and that populate the nodes), the nature of the activities or work performed, and the available defensive (and offensive) countermeasures that may be applied to thwart network attacks. A training implication is to raise awareness and understanding of these critical knowledge units; an approach to decision aids and/or visualizations is to focus on supporting these critical knowledge units. To study cyber FF, we developed an unclassified security test range comprising a combination of virtual and physical devices that present a closed network for testing, simulation, and evaluation. This network offers services found on a production network without the associated costs of a real production network. Containing enough detail to appear realistic, this virtual and physical environment can be customized to represent different configurations. For our purposes, the test range was configured to appear as an Internet-connected Managed Service Provider (MSP) offering specialized web applications to the general public. The network is essentially divided into a production component that hosts the web and network services, and a user component that hosts thirty employee workstations and other end devices. The organization's network is separated from the Internet by a Cisco ASA network security device that both firewalls and detects intrusions. Business sensitive information is stored in various servers. This includes data comprising thousands of internal documents, such as finance and technical designs, email messages for the organization's employees including the CEO, CFO, and CIO, the organization's source code, and Personally Identifiable client data. Release of any of this information to unauthorized parties would have a significant, detrimental impact on the organization's reputation, which would harm earnings. The valuable information stored in these servers pose obvious points of interest for an adversary. We constructed several scenarios around this environment to support studies in cyber SA and cyber FF that may be run in the test range. We describe mitigation strategies to combat cyber FF including both training concepts and suggestions for decision aids and visualization approaches. Finally, we discuss possible future research directions.« less

Child abuse training and knowledge: a national survey of emergency medicine, family medicine, and pediatric residents and program directors.

PubMed

Starling, Suzanne P; Heisler, Kurt W; Paulson, James F; Youmans, Eren

2009-04-01

The objective of this study was to determine the level of knowledge, comfort, and training related to the medical management of child abuse among pediatrics, emergency medicine, and family medicine residents. Surveys were administered to program directors and third-year residents at 67 residency programs. The resident survey included a 24-item quiz to assess knowledge regarding the medical management of physical and sexual child abuse. Sites were solicited from members of a network of child abuse physicians practicing at institutions with residency programs. Analyzable surveys were received from 53 program directors and 462 residents. Compared with emergency medicine and family medicine programs, pediatric programs were significantly larger and more likely to have a medical provider specializing in child abuse pediatrics, have faculty primarily responsible for child abuse training, use a written curriculum for child abuse training, and offer an elective rotation in child abuse. Exposure to child abuse training and abused patients was highest for pediatric residents and lowest for family medicine residents. Comfort with managing child abuse cases was lowest among family medicine residents. On the knowledge quiz, pediatric residents significantly outperformed emergency medicine and family medicine residents. Residents with high knowledge scores were significantly more likely to come from larger programs and programs that had a center, provider, or interdisciplinary team that specialized in child abuse pediatrics; had a physician on faculty responsible for child abuse training; used a written curriculum for child abuse training; and had a required rotation in child abuse pediatrics. By analyzing the relationship between program characteristics and residents' child abuse knowledge, we found that pediatric programs provide far more training and resources for child abuse education than emergency medicine and family medicine programs. As leaders, pediatricians must establish the importance of this topic in the pediatric education of residents of all specialties.

Intelligent Integrated Health Management for a System of Systems

NASA Technical Reports Server (NTRS)

Smith, Harvey; Schmalzel, John; Figueroa, Fernando

2008-01-01

An intelligent integrated health management system (IIHMS) incorporates major improvements over prior such systems. The particular IIHMS is implemented for any system defined as a hierarchical distributed network of intelligent elements (HDNIE), comprising primarily: (1) an architecture (Figure 1), (2) intelligent elements, (3) a conceptual framework and taxonomy (Figure 2), and (4) and ontology that defines standards and protocols. Some definitions of terms are prerequisite to a further brief description of this innovation: A system-of-systems (SoS) is an engineering system that comprises multiple subsystems (e.g., a system of multiple possibly interacting flow subsystems that include pumps, valves, tanks, ducts, sensors, and the like); 'Intelligent' is used here in the sense of artificial intelligence. An intelligent element may be physical or virtual, it is network enabled, and it is able to manage data, information, and knowledge (DIaK) focused on determining its condition in the context of the entire SoS; As used here, 'health' signifies the functionality and/or structural integrity of an engineering system, subsystem, or process (leading to determination of the health of components); 'Process' can signify either a physical process in the usual sense of the word or an element into which functionally related sensors are grouped; 'Element' can signify a component (e.g., an actuator, a valve), a process, a controller, an actuator, a subsystem, or a system; The term Integrated System Health Management (ISHM) is used to describe a capability that focuses on determining the condition (health) of every element in a complex system (detect anomalies, diagnose causes, prognosis of future anomalies), and provide data, information, and knowledge (DIaK) not just data to control systems for safe and effective operation. A major novel aspect of the present development is the concept of intelligent integration. The purpose of intelligent integration, as defined and implemented in the present IIHMS, is to enable automated analysis of physical phenomena in imitation of human reasoning, including the use of qualitative methods. Intelligent integration is said to occur in a system in which all elements are intelligent and can acquire, maintain, and share knowledge and information. In the HDNIE of the present IIHMS, an SoS is represented as being operationally organized in a hierarchical-distributed format. The elements of the SoS are considered to be intelligent in that they determine their own conditions within an integrated scheme that involves consideration of data, information, knowledge bases, and methods that reside in all elements of the system. The conceptual framework of the HDNIE and the methodologies of implementing it enable the flow of information and knowledge among the elements so as to make possible the determination of the condition of each element. The necessary information and knowledge is made available to each affected element at the desired time, satisfying a need to prevent information overload while providing context-sensitive information at the proper level of detail. Provision of high-quality data is a central goal in designing this or any IIHMS. In pursuit of this goal, functionally related sensors are logically assigned to groups denoted processes. An aggregate of processes is considered to form a system. Alternatively or in addition to what has been said thus far, the HDNIE of this IIHMS can be regarded as consisting of a framework containing object models that encapsulate all elements of the system, their individual and relational knowledge bases, generic methods and procedures based on models of the applicable physics, and communication processes (Figure 2). The framework enables implementation of a paradigm inspired by how expert operators monitor the health of systems with the help of (1) DIaK from various sources, (2) software tools that assist in rapid visualization of the condition of the system, (3) analical software tools that assist in reasoning about the condition, (4) sharing of information via network communication hardware and software, and (5) software tools that aid in making decisions to remedy unacceptable conditions or improve performance.

Continuous positive airway pressure machines and the work of coordinating technologies at home.

PubMed

Moreira, Tiago

2008-06-01

Research on the use of health technology at home has consistently reported that it is underpinned by users' evaluations of the technology in relation to their illness trajectory, their social network, and the place where it is used. Recent studies have also revealed that the efficacy of health technologies depends upon users' work that is largely invisible to professionals, managers and designers. This paper draws on the most widely used therapy for the management of sleep apnoea, continuous positive airway pressure (CPAP), to show how users maintain workable relationships between it and other technological elements of the domestic environment. Qualitative analysis was performed of an archive of messages sent to a web-based support group for sleep disorders between 1994 and 2007. Users describe two related techniques: first, drawing on their embodied knowledge of using domestic technologies to imagine potential, alternative environments for CPAP; and second, using their body as an instrument to assess the ;fit' of each of the attempted arrangements. The interaction between these two techniques entails frequent shifts in users' understandings of their illness and those involved in its management. Strategies of implementation of health technologies at home should acknowledge and incorporate the embodied knowledge processes of users.

Exploring the Impacts of Social Networking Sites on Academic Relations in the University

ERIC Educational Resources Information Center

Rambe, Patient

2011-01-01

Social networking sites (SNS) affordances for persistent interaction, collective generation of knowledge, and formation of peer-based clusters for knowledge sharing render them useful for developing constructivist knowledge environments. However, notwithstanding their academic value, these environments are not necessarily insulated from the…

Employees and Creativity: Social Ties and Access to Heterogeneous Knowledge

ERIC Educational Resources Information Center

Huang, Chiung-En; Liu, Chih-Hsing Sam

2015-01-01

This study dealt with employee social ties, knowledge heterogeneity contacts, and the generation of creativity. Although prior studies demonstrated a relationship between network position and creativity, inadequate attention has been paid to network ties and heterogeneity knowledge contacts. This study considered the social interaction processes…

Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation

PubMed Central

Kitson, Alison; Brook, Alan; Harvey, Gill; Jordan, Zoe; Marshall, Rhianon; O’Shea, Rebekah; Wilson, David

2018-01-01

Many representations of the movement of healthcare knowledge through society exist, and multiple models for the translation of evidence into policy and practice have been articulated. Most are linear or cyclical and very few come close to reflecting the dense and intricate relationships, systems and politics of organizations and the processes required to enact sustainable improvements. We illustrate how using complexity and network concepts can better inform knowledge translation (KT) and argue that changing the way we think and talk about KT could enhance the creation and movement of knowledge throughout those systems needing to develop and utilise it. From our theoretical refinement, we propose that KT is a complex network composed of five interdependent sub-networks, or clusters, of key processes (problem identification [PI], knowledge creation [KC], knowledge synthesis [KS], implementation [I], and evaluation [E]) that interact dynamically in different ways at different times across one or more sectors (community; health; government; education; research for example). We call this the KT Complexity Network, defined as a network that optimises the effective, appropriate and timely creation and movement of knowledge to those who need it in order to improve what they do. Activation within and throughout any one of these processes and systems depends upon the agents promoting the change, successfully working across and between multiple systems and clusters. The case is presented for moving to a way of thinking about KT using complexity and network concepts. This extends the thinking that is developing around integrated KT approaches. There are a number of policy and practice implications that need to be considered in light of this shift in thinking. PMID:29524952

Planning Mars Memory: Learning from the Mer Mission

NASA Technical Reports Server (NTRS)

Linde, Charlotte

2004-01-01

Knowledge management for space exploration is part of a multi-generational effort at recognizing, preserving and transmitting learning. Each mission should be built on the learning, of both successes and failures, derived from previous missions. Knowledge management begins with learning, and the recognition that this learning has produced knowledge. The Mars Exploration Rover mission provides us with an opportunity to track how learning occurs, how it is recorded, and whether the representations of this learning will be optimally useful for subsequent missions. This paper focuses on the MER science and engineering teams during Rover operations. A NASA team conducted an observational study of the ongoing work and learning of the these teams. Learning occurred in a wide variety of areas: how to run two teams on Mars time for three months; how to use the instruments within the constraints of the martian environment, the deep space network and the mission requirements; how to plan science strategy; how best to use the available software tools. This learning is preserved in many ways. Primarily it resides in peoples memories, to be carried on to the next mission. It is also encoded in stones, in programming sequences, in published reports, and in lessons learned activities, Studying learning and knowledge development as it happens allows us to suggest proactive ways of capturing and using it across multiple missions and generations.

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

ERIC Educational Resources Information Center

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…

The Cyberspace Challenge: Modernity, Post-modernity and Reflections on International Networking Policy.

ERIC Educational Resources Information Center

Goodenow, Ronald

1996-01-01

Emergence of global communications networks raises questions about the nature of pluralism, community, delivery of education, construction of knowledge, and role of comparative educators in a postindustrial world. Ownership, access, and definition and distribution of knowledge will become major policy issues. Networking experiences in telemedicine…