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Sample records for professional network based

  1. Identity and Professional Networking.

    Science.gov (United States)

    Raj, Medha; Fast, Nathanael J; Fisher, Oliver

    2017-06-01

    Despite evidence that large professional networks afford a host of financial and professional benefits, people vary in how motivated they are to build such networks. To help explain this variance, the present article moves beyond a rational self-interest account to examine the possibility that identity shapes individuals' intentions to network. Study 1 established a positive association between viewing professional networking as identity-congruent and the tendency to prioritize strengthening and expanding one's professional network. Study 2 revealed that manipulating the salience of the self affects networking intentions, but only among those high in networking identity-congruence. Study 3 further established causality by experimentally manipulating identity-congruence to increase networking intentions. Study 4 examined whether identity or self-interest is a better predictor of networking intentions, providing support for the former. These findings indicate that identity influences the networks people develop. Implications for research on the self, identity-based motivation, and professional networking are discussed.

  2. Effective professional networking.

    Science.gov (United States)

    Goolsby, Mary Jo; Knestrick, Joyce M

    2017-08-01

    The reasons for nurse practitioners to develop a professional network are boundless and are likely to change over time. Networking opens doors and creates relationships that support new opportunities, personal development, collaborative research, policy activism, evidence-based practice, and more. Successful professional networking involves shared, mutually beneficial interactions between individuals and/or individuals and groups, regardless of whether it occurs face to face or electronically. This article combines nuggets from the literature with guidance based on the authors' combined experience in networking activities at the local, national, and international levels. ©2017 American Association of Nurse Practitioners.

  3. Professional social networking.

    Science.gov (United States)

    Rowley, Robert D

    2014-12-01

    We review the current state of social communication between healthcare professionals, the role of consumer social networking, and some emerging technologies to address the gaps. In particular, the review covers (1) the current state of loose social networking for continuing medical education (CME) and other broadcast information dissemination; (2) social networking for business promotion; (3) social networking for peer collaboration, including simple communication as well as more robust data-centered collaboration around patient care; and (4) engaging patients on social platforms, including integrating consumer-originated data into the mix of healthcare data. We will see how, as the nature of healthcare delivery moves from the institution-centric way of tradition to a more social and networked ambulatory pattern that we see emerging today, the nature of health IT has also moved from enterprise-centric systems to more socially networked, cloud-based options.

  4. Issue Professionals in Transnational Networks

    DEFF Research Database (Denmark)

    Henriksen, Lasse Folke; Seabrooke, Leonard

    Professionals and organizations both seek to exploit and cooperate with each other. Professionals seek alliances in their own peer networks while organizations do the same. These networks carry not only information that inform incentives but norms about appropriate forms of governance and practices...... that guide how they actually work. In this paper we outline how professionals and organizations operate in two-level networks through a focus on issue control over issues of transnational governance. As such, this interdisciplinary paper brings together insights from Organization Studies and International...... Relations to discuss how professionals and organizations battle over issue control through the designation of tasks and the creation of overlapping networks. We outline the emergence of ‘issue professionals’ and how they attempt network management. We do so via a case on transnational sustainability...

  5. Associations Between Internet-Based Professional Social Networking and Emotional Distress

    Science.gov (United States)

    Jones, Jacquelynn R.; Colditz, Jason B.; Shensa, Ariel; Sidani, Jaime E.; Lin, Liu Yi; Terry, Martha Ann

    2016-01-01

    Abstract Professional social networking websites are commonly used among young professionals. In light of emerging concerns regarding social networking use and emotional distress, the purpose of this study was to investigate the association between frequency of use of LinkedIn, the most commonly used professional social networking website, and depression and anxiety among young adults. In October 2014, we assessed a nationally representative sample of 1,780 U.S. young adults between the ages of 19–32 regarding frequency of LinkedIn use, depression and anxiety, and sociodemographic covariates. We measured depression and anxiety using validated Patient-Reported Outcomes Measurement Information System measures. We used bivariable and multivariable logistic regression to assess the association between LinkedIn use and depression and anxiety, while controlling for age, sex, race, relationship status, living situation, household income, education level, and overall social media use. In weighted analyses, 72% of participants did not report use of LinkedIn, 16% reported at least some use, but less than once each week, and 12% reported use at least once per week. In multivariable analyses controlling for all covariates, compared with those who did not use LinkedIn, participants using LinkedIn at least once per week had significantly greater odds of increased depression (adjusted odds ratio [AOR] = 2.10, 95% confidence interval [CI] = 1.31–3.38) and increased anxiety (AOR = 2.79, 95% CI = 1.72–4.53). LinkedIn use was significantly related to both outcomes in a dose–response manner. Future research should investigate directionality of this association and possible reasons for it. PMID:27732077

  6. Associations Between Internet-Based Professional Social Networking and Emotional Distress.

    Science.gov (United States)

    Jones, Jacquelynn R; Colditz, Jason B; Shensa, Ariel; Sidani, Jaime E; Lin, Liu Yi; Terry, Martha Ann; Primack, Brian A

    2016-10-01

    Professional social networking websites are commonly used among young professionals. In light of emerging concerns regarding social networking use and emotional distress, the purpose of this study was to investigate the association between frequency of use of LinkedIn, the most commonly used professional social networking website, and depression and anxiety among young adults. In October 2014, we assessed a nationally representative sample of 1,780 U.S. young adults between the ages of 19-32 regarding frequency of LinkedIn use, depression and anxiety, and sociodemographic covariates. We measured depression and anxiety using validated Patient-Reported Outcomes Measurement Information System measures. We used bivariable and multivariable logistic regression to assess the association between LinkedIn use and depression and anxiety, while controlling for age, sex, race, relationship status, living situation, household income, education level, and overall social media use. In weighted analyses, 72% of participants did not report use of LinkedIn, 16% reported at least some use, but less than once each week, and 12% reported use at least once per week. In multivariable analyses controlling for all covariates, compared with those who did not use LinkedIn, participants using LinkedIn at least once per week had significantly greater odds of increased depression (adjusted odds ratio [AOR] = 2.10, 95% confidence interval [CI] = 1.31-3.38) and increased anxiety (AOR = 2.79, 95% CI = 1.72-4.53). LinkedIn use was significantly related to both outcomes in a dose-response manner. Future research should investigate directionality of this association and possible reasons for it.

  7. Activation of professional and personal network relations when experiencing a symptom: a population-based cross-sectional study.

    Science.gov (United States)

    Elnegaard, Sandra; Andersen, Rikke Sand; Pedersen, Anette Fischer; Jarbøl, Dorte Ejg

    2017-10-15

    To describe patterns of disclosure of symptoms experienced among people in the general population to persons in their personal and/or professional network. A population-based cross-sectional study. Data were collected from a web-based survey. The general population in Denmark. 100 000 individuals randomly selected, representative of the adult Danish population aged ≥20 years were invited. Approximately 5% were not eligible for inclusion. 49 706 (men=23 240; women=26 466) of 95 253 eligible individuals completed the questionnaire; yielding a response rate of 52.2%. Individuals completing all questions regarding social network relations form the study base (n=44 313). Activation of personal and/or professional relations when experiencing a symptom. The 44 313 individuals reported in total 260 079 symptom experiences within the last 4 weeks. No professional network relation was used in two-thirds of all reported symptoms. The general practitioner (GP) was the most frequently reported professional relation activated (22.5%). People reporting to have available personal relations were slightly less inclined to contact the GP (21.9%) when experiencing a symptom compared with people with no reported personal relations (26.8%). The most commonly activated personal relations were spouse/partner (56.4%) and friend (19.6%). More than a quarter of all reported symptom experiences was not shared with anyone, personal nor professional. The symptom experiences with the lowest frequency of network activation were symptoms such as black stool, constipation, change in stool texture and frequent urination. This study emphasises variation in the activation of network relations when experiencing a symptom. Symptoms were shared with both personal and professional relations, but different patterns of disclosures were discovered. For symptoms derived from the urogenital or colorectal region, the use of both personal and professional relations was relatively small, which

  8. Tie Content in Professional Networks

    DEFF Research Database (Denmark)

    Zarzecka, Olga

    introduces the topic of this dissertation as well as the overall research question. The three next chapters are empirical studies of informal ties in professional networks of Danish senior managers, that together attempt to answer the overall research question. Chapter 2 looks into gender differences...... in resource exchanges and the effect of these differences on the number of, and extent to which, resources are provided by a network tie. Chapter 3 explores how firm underperfomance and social identity with corporate elite alter types of resources a network tie provides. Chapter 4 focuses on a tie’s internal......Professional networks of senior managers have indisputable value for them as well as for their organizations. In recent years, much attention has been given to the structure of these networks as it reflects senior managers’ opportunity to access valuable resources. Surprisingly, the actual...

  9. Teachers' professional development in a community: A study of the central actors, their networks and web-based learning

    Directory of Open Access Journals (Sweden)

    Jiri Lallimo

    2008-07-01

    Full Text Available The goal of this article was to study teachers' professional development related to web-based learning in the context of the teacher community. The object was to learn in what kind of networks teachers share the knowledge of web-based learning and what are the factors in the community that support or challenge teachers professional development of web-based learning. The findings of the study revealed that there are teachers who are especially active, called the central actors in this study, in the teacher community who collaborate and share knowledge of web-based learning. These central actors share both technical and pedagogical knowledge of web-based learning in networks that include both internal and external relations in the community and involve people, artefacts and a variety of media. Furthermore, the central actors appear to bridge different fields of teaching expertise in their community.According to the central actors' experiences the important factors that support teachers' professional development of web-based learning in the community are; the possibility to learn from colleagues and from everyday working practices, an emotionally safe atmosphere, the leader's personal support and community-level commitment. Also, the flexibility in work planning, challenging pupils, shared lessons with colleagues, training events in an authentic work environment and colleagues' professionalism are considered meaningful for professional development. As challenges, the knowledge sharing of web-based learning in the community needs mutual interests, transactive memory, time and facilities, peer support, a safe atmosphere and meaningful pedagogical practices.On the basis of the findings of the study it is suggested that by intensive collaboration related to web-based learning it may be possible to break the boundaries of individual teachership and create such sociocultural activities which support collaborative professional development in the teacher

  10. Effective teacher professionalization in networks?

    NARCIS (Netherlands)

    Hofman, R.H.; Dijkstra, B.J.

    Teacher professionalization has been focused to strongly on external experts and a one-size-fits-all set of solutions that often fail to distinguish between the needs of different teachers. This article describes a research into teacher networks that might be more successful vehicles for

  11. Social Networking Strategies for Professionals

    Science.gov (United States)

    Breeding, Marshall

    2009-01-01

    Library professionals have always engaged with associations and communities to share experiences and information. Going back through the earliest times of the profession, librarians have interacted through conference meetings, professional publications, and a variety of other venues. These in-person and print-based interactions continue as…

  12. Insula-based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI.

    Science.gov (United States)

    Zamorano, Anna M; Cifre, Ignacio; Montoya, Pedro; Riquelme, Inmaculada; Kleber, Boris

    2017-10-01

    Despite considerable research on experience-dependent neuroplasticity in professional musicians, detailed understanding of an involvement of the insula is only now beginning to emerge. We investigated the effects of musical training on intrinsic insula-based connectivity in professional classical musicians relative to nonmusicians using resting-state functional MRI. Following a tripartite scheme of insula subdivisions, coactivation profiles were analyzed for the posterior, ventral anterior, and dorsal anterior insula in both hemispheres. While whole-brain connectivity across all participants confirmed previously reported patterns, between-group comparisons revealed increased insular connectivity in musicians relative to nonmusicians. Coactivated regions encompassed constituents of large-scale networks involved in salience detection (e.g., anterior and middle cingulate cortex), affective processing (e.g., orbitofrontal cortex and temporal pole), and higher order cognition (e.g., dorsolateral prefrontal cortex and the temporoparietal junction), whereas no differences were found for the reversed group contrast. Importantly, these connectivity patterns were stronger in musicians who experienced more years of musical practice, including also sensorimotor regions involved in music performance (M1 hand area, S1, A1, and SMA). We conclude that musical training triggers significant reorganization in insula-based networks, potentially facilitating high-level cognitive and affective functions associated with the fast integration of multisensory information in the context of music performance. Hum Brain Mapp 38:4834-4849, 2017. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

  13. Professional networking using computer-mediated communication.

    Science.gov (United States)

    Washer, Peter

    Traditionally, professionals have networked with others in their field through attending conferences, professional organizations, direct mailing, and via the workplace. Recently, there have been new possibilities to network with other professionals using the internet. This article looks at the possibilities that the internet offers for professional networking, particularly e-mailing lists, newsgroups and membership databases, and compares them against more traditional methods of professional networking. The different types of computer-mediated communication are discussed and their relative merits and disadvantages are examined. The benefits and potential pitfalls of internet professional networking, as it relates to the nursing profession, are examined. Practical advice is offered on how the internet can be used as a means to foster professional networks of academic, clinical or research interests.

  14. ICT-based School Collaboration, Teachers’ Networks and their Opportunities for Teachers’ Professional Development - a Case Study on eTwinning

    NARCIS (Netherlands)

    Vuorikari, Riina; Berlanga, Adriana; Cacia, Romina; Cao, Yiwei; Fetter, Sibren; Gilleran, Anne; Klamma, Ralf; Punie, Yves; Scimeca, Santi; Sloep, Peter

    2012-01-01

    Vuorikari, R., Berlanga, A. J., Cacia, R., Cao, Y., Fetter, S., Gilleran, A., Klamma, R., Punie, Y., Scimeca, S., & Sloep, P. B. (2011, 8-10 December). ICT-based School Collaboration, Teachers’ Networks and their Opportunities for Teachers’ Professional Development - a Case Study on eTwinning.

  15. Learning Networks for Professional Development & Lifelong Learning

    NARCIS (Netherlands)

    Sloep, Peter

    2009-01-01

    Sloep, P. B. (2009). Learning Networks for Professional Development & Lifelong Learning. Presentation at a NeLLL seminar with Etienne Wenger held at the Open Universiteit Nederland. September, 10, 2009, Heerlen, The Netherlands.

  16. Professional Networks in the International Political Economy

    DEFF Research Database (Denmark)

    Henriksen, Lasse Folke; Seabrooke, Leonard

    in variety of science-heavy, and social science related, issue-areas and identifies how variation in network structure may shape processes of idea formation, skills transfer and policy solutions and implementation. The paper also outlines the framework for visualizing professional ecologies and how...... they compete and cooperate through a variety of novel concepts and technologies. The issue-areas discussed in relation to professional networks include: the creation of a viable bio-fuels industry; addressing low fertility rates in the OECD; risk weighting and regulatory segmentation in financial reform......Who writes the rules for the governance of the world economy? This paper looks beyond the usual suspects of states, NGOs and firms to attempt to map how ideas and skills travel between professional ecologies to solve long-term socioeconomic problems. The paper identifies professional networks...

  17. Networked Learning and Network Science: Potential Applications to Health Professionals' Continuing Education and Development.

    Science.gov (United States)

    Margolis, Alvaro; Parboosingh, John

    2015-01-01

    Prior interpersonal relationships and interactivity among members of professional associations may impact the learning process in continuing medical education (CME). On the other hand, CME programs that encourage interactivity between participants may impact structures and behaviors in these professional associations. With the advent of information and communication technologies, new communication spaces have emerged that have the potential to enhance networked learning in national and international professional associations and increase the effectiveness of CME for health professionals. In this article, network science, based on the application of network theory and other theories, is proposed as an approach to better understand the contribution networking and interactivity between health professionals in professional communities make to their learning and adoption of new practices over time. © 2015 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on Continuing Medical Education, Association for Hospital Medical Education.

  18. Networking of teachers as an individual professional development

    Directory of Open Access Journals (Sweden)

    Магомедхан Магомедович Ниматулаев

    2015-12-01

    Full Text Available Today the system of additional professional education (CVE do not fully manages the timely realization of the process of introduction of new information technologies, modern organizational forms of education. In this situation, experts have their own conditions of use of network technologies to seek a variety of opportunities for self-education, self-training. Network technology is Web-based and space allow, when it is necessary to carry out the process of self-training. In article methodical aspects of network interaction as professional development forms are stated.

  19. Professional development and human resources management in networks

    Directory of Open Access Journals (Sweden)

    Evgeniy Rudnev

    2016-05-01

    Full Text Available Social networks occupy more places in development of people and organizations. Confidence in institutions and social networking are different and based on referentiality in Internet. For communication in network persons choose a different strategies and behavior in LinkedIn, resources of whom may be in different degree are interesting in Human Resources Management for organizations. Members of different social groups and cultures demonstrate some differences in interaction with Russian identity native. There are gender differences behavior in networks. Participating in groups need ethical behavior and norms in social networking for professional development and communication in future.

  20. Online professional networks for physicians: risk management.

    Science.gov (United States)

    Hyman, Jon L; Luks, Howard J; Sechrest, Randale

    2012-05-01

    The rapidly developing array of online physician-only communities represents a potential extraordinary advance in the availability of educational and informational resources to physicians. These online communities provide physicians with a new range of controls over the information they process, but use of this social media technology carries some risk. The purpose of this review was to help physicians manage the risks of online professional networking and discuss the potential benefits that may come with such networks. This article explores the risks and benefits of physicians engaging in online professional networking with peers and provides suggestions on risk management. Through an Internet search and literature review, we scrutinized available case law, federal regulatory code, and guidelines of conduct from professional organizations and consultants. We reviewed the OrthoMind.com site as a case example because it is currently the only online social network exclusively for orthopaedic surgeons. Existing case law suggests potential liability for orthopaedic surgeons who engage with patients on openly accessible social network platforms. Current society guidelines in both the United States and Britain provide sensible rules that may mitigate such risks. However, the overall lack of a strong body of legal opinions, government regulations as well as practical experience for most surgeons limit the suitability of such platforms. Closed platforms that are restricted to validated orthopaedic surgeons may limit these downside risks and hence allow surgeons to collaborate with one another both as clinicians and practice owners. Educating surgeons about the pros and cons of participating in these networking platforms is helping them more astutely manage risks and optimize benefits. This evolving online environment of professional interaction is one of few precedents, but the application of risk management strategies that physicians use in daily practice carries over

  1. "Us and them": a social network analysis of physicians' professional networks and their attitudes towards EBM.

    Science.gov (United States)

    Mascia, Daniele; Cicchetti, Americo; Damiani, Gianfranco

    2013-10-22

    Extant research suggests that there is a strong social component to Evidence-Based Medicine (EBM) adoption since professional networks amongst physicians are strongly associated with their attitudes towards EBM. Despite this evidence, it is still unknown whether individual attitudes to use scientific evidence in clinical decision-making influence the position that physicians hold in their professional network. This paper explores how physicians' attitudes towards EBM is related to the network position they occupy within healthcare organizations. Data pertain to a sample of Italian physicians, whose professional network relationships, demographics and work-profile characteristics were collected. A social network analysis was performed to capture the structural importance of physicians in the collaboration network by the means of a core-periphery analysis and the computation of network centrality indicators. Then, regression analysis was used to test the association between the network position of individual clinicians and their attitudes towards EBM. Findings documented that the overall network structure is made up of a dense cohesive core of physicians and of less connected clinicians who occupy the periphery. A negative association between the physicians' attitudes towards EBM and the coreness they exhibited in the professional network was also found. Network centrality indicators confirmed these results documenting a negative association between physicians' propensity to use EBM and their structural importance in the professional network. Attitudes that physicians show towards EBM are related to the part (core or periphery) of the professional networks to which they belong as well as to their structural importance. By identifying virtuous attitudes and behaviors of professionals within their organizations, policymakers and executives may avoid marginalization and stimulate integration and continuity of care, both within and across the boundaries of healthcare

  2. "A Lifelong Classroom": Social Studies Educators' Engagement with Professional Learning Networks on Twitter

    Science.gov (United States)

    Noble, Anna; McQuillan, Patrick; Littenberg-Tobias, Josh

    2016-01-01

    Growing numbers of educators are using social media platforms to connect with other educators to form professional learning networks. These networks serve as alternative sources of professional development for teachers who seek to enrich their professional growth beyond school-based programs. This study aims to add to the small but growing body of…

  3. Social media and professional networking: a case of information professionals in the SCECSAL region

    OpenAIRE

    Chisenga, Justin; Chande-Mallya, Rehema

    2012-01-01

    The purpose of the study was to establish the extent to which library and information professionals in the Standing Conference of Eastern, Central and Southern Africa Library and Information Associations (SCECSAL) region are using social media applications for professional networking. The findings show that although the professionals are adopting social media applications, its use is more for social networking than professional networking purposes. Among those using the applications for profe...

  4. Understanding Decision Making through Complexity in Professional Networks

    Directory of Open Access Journals (Sweden)

    Kon Shing Kenneth Chung

    2014-01-01

    Full Text Available The attitudes of general practitioners (GP play an influential role in their decision making about patient treatment and care. Considering the GP-patient encounter as a complex system, the interactions between the GP and their personal network of peers give rise to “aggregate complexity,” which in turn influences the GP’s decisions about patient treatment. This study models aggregate complexity and its influence in decision making in primary care through the use of social network metrics. Professional network and attitudinal data on decision making responsibility from 107 rural GPs were analysed. Social network measures of “density” and “inclusiveness” were used for computing the “interrelatedness” of components within such a “complex system.” The “number of components” and “degree of interrelatedness” were used to determine the complexity profiles, which was then used to associate with responsibility in decision making for each GP. GPs in simple profiles (i.e., with low components and interactions in contrast to those in nonsimple profiles, indicate a higher responsibility for the decisions they make in medical care. This study suggests that social networks-based complexity profiles are useful for understanding decision making in primary care as it accounts for the role of influence through the professional networks of GPs.

  5. Networking for knowledge capacity building of procurement professionals in Ghana

    Directory of Open Access Journals (Sweden)

    Kissi Ernest

    2016-12-01

    Full Text Available The role of public procurement professionals in achieving value for money in public procurement activities is widely acknowledged around the globe. This has inspired the organisation of training programmes and workshops for procurement professionals, particularly those in developing countries in order to hone their knowledge and skills for proper management of government projects. This paper sought to explore the opportunities in networking for knowledge capacity building of procurement professionals in Ghana. The study adopted quantitative research methods for both data collection and analysis. The paper revealed that professional networking can offer procurement professionals the opportunity to acquire new knowledge from external professionals, know global trends about procurement practice, and obtain new information from other institutions about procurement. It is recommended that a platform that can support a network of procurement professionals in Ghana should be developed in order to ensure effective interaction and communication among procurement professionals for their capacity building.

  6. Transnational organizing: Issue professionals in environmental sustainability networks.

    Science.gov (United States)

    Henriksen, Lasse Folke; Seabrooke, Leonard

    2016-09-01

    An ongoing question for institutional theory is how organizing occurs transnationally, where institution building occurs in a highly ambiguous environment. This article suggests that at the core of transnational organizing is competition and coordination within professional and organizational networks over who controls issues. Transnational issues are commonly organized through professional battles over how issues are treated and what tasks are involved. These professional struggles are often more important than what organization has a formal mandate over an issue. We highlight how 'issue professionals' operate in two-level professional and organizational networks to control issues. This two-level network provides the context for action in which professionals do their institutional work. The two-level network carries information about professional incentives and also norms about how issues should be treated and governed by organizations. Using network and career sequences methods, we provide a case of transnational organizing through professionals who attempt issue control and network management on transnational environmental sustainability certification. The article questions how transnational organizing happens, and how we can best identify attempts at issue control.

  7. Social Media for Networking, Professional Development, and Patient Engagement.

    Science.gov (United States)

    Markham, Merry Jennifer; Gentile, Danielle; Graham, David L

    2017-01-01

    Social media has become an established method of communication, and many physicians are finding these interactive tools and platforms to be useful for both personal and professional use. Risks of social media, or barriers to its use, include perceived lack of time, privacy concerns, and the risk of damage to one's reputation by unprofessional behavior. Of the social media platforms, Twitter has become favored by physicians and other health care professionals. Although one of the most obvious uses of social media is for rapid dissemination and receipt of information, oncologists are finding that social media is important for networking through blogs, Facebook, and Twitter. These platforms also have potential for providing opportunities for professional development, such as finding collaborators through networking, participation in Twitter journal clubs, and participating in online case-based tumor boards. Social media can also be used for patient engagement, such as through participation in tweet chats. There is emerging data that patient engagement through these platforms may lead to improvement in some health-related outcomes; however, data are sparse for oncology-specific outcomes. Efforts are underway to determine how to assess how social media engagement impacts health outcomes in oncology patients.

  8. The Connect Effect Building Strong Personal, Professional, and Virtual Networks

    CERN Document Server

    Dulworth, Michael

    2008-01-01

    Entrepreneur and executive development expert Mike Dulworth's THE CONNECT EFFECT provides readers with a simple framework and practical tools for developing that crucial competitive advantage: a high-quality personal, professional/organizational and virtual network.

  9. Social networking, identity and professionalism in clinical psychology

    OpenAIRE

    McKenzie, Karen; Fawns, Tim

    2011-01-01

    The paper discusses some of the issues faced by clinical psychology trainees when integrating their 'personal' 'student' and 'professional' images. This is in the context of the increasing use of social networking sites for both personal and educational processes.

  10. Teacher Professionalization in the Age of Social Networking Sites

    Science.gov (United States)

    Kimmons, Royce; Veletsianos, George

    2015-01-01

    As teacher education students become professionals, they face a number of tensions related to identity, social participation, and work-life balance, which may be further complicated by social networking sites (SNS). This qualitative study sought to articulate tensions that arose between professionalization influences and teacher education student…

  11. Managing cancer care through service delivery networks: The role of professional collaboration in two European cancer networks.

    Science.gov (United States)

    Prades, Joan; Morando, Verdiana; Tozzi, Valeria D; Verhoeven, Didier; Germà, Jose R; Borras, Josep M

    2017-01-01

    Background The study examines two meso-strategic cancer networks, exploring to what extent collaboration can strengthen or hamper network effectiveness. Unlike macro-strategic networks, meso-strategic networks have no hierarchical governance structures nor are they institutionalised within healthcare services' delivery systems. This study aims to analyse the models of professional cooperation and the tools developed for managing clinical practice within two meso-strategic, European cancer networks. Methods Multiple case study design based on the comparative analysis of two cancer networks: Iridium, in Antwerp, Belgium and the Institut Català d'Oncologia in Catalonia, Spain. The case studies applied mixed methods, with qualitative research based on semi-structured interviews ( n = 35) together with case-site observation and material collection. Results The analysis identified four levels of collaborative intensity within medical specialties as well as in multidisciplinary settings, which became both platforms for crosscutting clinical work between hubs' experts and local care teams and the levers for network-based tools development. The organisation of clinical practice relied on professional-based cooperative processes and tiers, lacking vertical integration mechanisms. Conclusions The intensity of professional linkages largely shaped the potential of meso-strategic cancer networks to influence clinical practice organisation. Conversely, the introduction of managerial techniques or network governance structures, without introducing vertical hierarchies, was found to be critical solutions.

  12. IMC/RMC Network Professional Film Collection.

    Science.gov (United States)

    New York State Education Dept., Albany. Special Education Instructional Materials Center.

    The compilation is a comprehensive listing of films available from the centers in the Instructional Materials Centers/Regional Media Centers (IMC/RMC) Network. Each IMC/RMC location is given a numerical code in a preliminary listing. These numerical codes are used within the film listing, which is arranged alphabetically according to film titles,…

  13. Professionally Oriented Practice in Graduate Students in the Context of Networking between University and School

    Directory of Open Access Journals (Sweden)

    Gutina G.Y.,

    2016-12-01

    Full Text Available The paper describes the experience of organising professionally oriented practice for graduate students in the context of networking. The model of in-depth professionally oriented practice for students of the master’s programme in Psychology and Education was created and approved by the leading Russian pedagogical universities within the project “Developing and approving new modules of basic master’s programme of professional training in Psychology and Education on the basis of networking between educational organisations providing general and higher education programmes implying in-depth professionally oriented student practice”. The model of in-depth practice is constructed on the grounds of activity- and competency-based approaches. Practical training of graduate students focuses on the structure and content of work functions (actions defined in the professional standard for educational psychologists.

  14. Use of Social Media for Professional Development by Health Care Professionals: A Cross-Sectional Web-Based Survey

    Science.gov (United States)

    2016-01-01

    Background Social media can be used in health care settings to enhance professional networking and education; patient communication, care, and education; public health programs; organizational promotion; and research. Objective The aim of this study was to explore the use of social media networks for the purpose of professional development among health care professionals in Saudi Arabia using a purpose-designed Web-based survey. Methods A cross-sectional web-based survey was undertaken. A link to the survey was posted on the investigator’s personal social media accounts including Twitter, LinkedIn, and WhatsApp. Results A total of 231 health care professionals, who are generally social media users, participated in the study. Of these professionals, 70.6% (163/231) use social media for their professional development. The social media applications most frequently used, in the descending order, for professional development were Twitter, YouTube, Instagram, Facebook, Snapchat, and LinkedIn. The majority of respondents used social media for professional development irrespective of their age group, with the highest proportion seen in those aged 20-30 years. Social media were perceived as being most beneficial for professional development in terms of their impact on the domains of knowledge and problem solving and least helpful for enhancing clinical skills. Twitter was perceived as the most helpful type of social media for all domains listed. Respondents most frequently reported that social media were useful for professional development for the reasons of knowledge exchange and networking. Conclusions Social media are frequently used by health care professionals in Saudi Arabia for the purposes of professional development, with Twitter most frequently used for this purpose. These findings suggest that social media networks can be powerful tools for engaging health care professionals in their professional development. PMID:27731855

  15. Use of Social Media for Professional Development by Health Care Professionals: A Cross-Sectional Web-Based Survey.

    Science.gov (United States)

    Alsobayel, Hana

    2016-09-12

    Social media can be used in health care settings to enhance professional networking and education; patient communication, care, and education; public health programs; organizational promotion; and research. The aim of this study was to explore the use of social media networks for the purpose of professional development among health care professionals in Saudi Arabia using a purpose-designed Web-based survey. A cross-sectional web-based survey was undertaken. A link to the survey was posted on the investigator's personal social media accounts including Twitter, LinkedIn, and WhatsApp. A total of 231 health care professionals, who are generally social media users, participated in the study. Of these professionals, 70.6% (163/231) use social media for their professional development. The social media applications most frequently used, in the descending order, for professional development were Twitter, YouTube, Instagram, Facebook, Snapchat, and LinkedIn. The majority of respondents used social media for professional development irrespective of their age group, with the highest proportion seen in those aged 20-30 years. Social media were perceived as being most beneficial for professional development in terms of their impact on the domains of knowledge and problem solving and least helpful for enhancing clinical skills. Twitter was perceived as the most helpful type of social media for all domains listed. Respondents most frequently reported that social media were useful for professional development for the reasons of knowledge exchange and networking. Social media are frequently used by health care professionals in Saudi Arabia for the purposes of professional development, with Twitter most frequently used for this purpose. These findings suggest that social media networks can be powerful tools for engaging health care professionals in their professional development.

  16. Your Personal Learning Network: Professional Development on Demand

    Science.gov (United States)

    Bauer, William I.

    2010-01-01

    Web 2.0 tools and resources can enhance our efficiency and effectiveness as music educators, supporting personal learning networks for ongoing professional growth and development. This article includes (a) an explanation of Really Simple Syndication (RSS) and the use of an RSS reader/aggregator; (b) a discussion of blogs, podcasts, wikis,…

  17. Network-Based Effectiveness

    National Research Council Canada - National Science Library

    Friman, Henrik

    2006-01-01

    ... (extended from Leavitt, 1965). This text identifies aspects of network-based effectiveness that can benefit from a better understanding of leadership and management development of people, procedures, technology, and organizations...

  18. Pharmacists' perceptions of professionalism on social networking sites.

    Science.gov (United States)

    Benetoli, Arcelio; Chen, Timothy F; Schaefer, Marion; Chaar, Betty; Aslani, Parisa

    Social networking sites (SNS) are a new venue for communication, and health care professionals, like the general population, are using them extensively. However, their behavior on SNS may influence public perceptions about their professionalism. This study explored how pharmacists separate professional and personal information and activities on SNS, their perceptions of professional behavior on SNS, and opinions on guidelines in this area. In-depth, semi-structured interviews were conducted with international practising pharmacists (n = 31) recruited from a range of countries (n = 9). Initially, pharmacists known to the research team were invited, and thereafter, participants were recruited using a snowballing technique. The interviews lasted from 30 to 120 min. All interviews were recorded, transcribed verbatim, and thematically analyzed. A majority of participants mixed professional and personal information and activities on SNS, and about one third adopted a separation strategy where professional information and activities were clearly separated from personal ones (e.g. two different SNS accounts, or one particular SNS for professional use and another platform for personal purposes). Most participants expressed concern over how pharmacists present themselves and behave in SNS when they reported (un)professional behaviors of peers they had observed. Examples of perceived unprofessional behaviors included revealing details of personal life and activities; open complaints about the pharmacy sector, co-workers, physicians, and patients; inappropriate description of pharmacists' roles and activities; and breaches of patient confidentiality. Positive professional behaviors, such as expression of compassion for patients, examples of effective patient management, promotion of pharmacists' role, and correction of misleading health information being spread online were also observed. There was no consensus on having professional social media guidelines. Some preferred

  19. Networking for Learning The role of Networking in a Lifelong Learner's Professional Development

    NARCIS (Netherlands)

    Rajagopal, Kamakshi

    2016-01-01

    This dissertation discusses the role the social activity of networking plays in lifelong learners’ professional and personal continuous development. The main hypothesis of this thesis is that networking is a learning strategy for lifelong learners, in which conversations are key activities through

  20. Social media for professional development and networking opportunities in academia

    OpenAIRE

    Donelan, Helen

    2016-01-01

    The research reported on in this article explores the use of social media for work-related or professional purposes. In particular, it focuses on the perceptions and use of social media by academics in the UK. The purpose of the research was to explore the potential social media has to facilitate the changing landscape of higher education and support the individual academic in their role. Of particular interest is how specific social media tools are being used to enhance networking opportunit...

  1. Learning for Work and Professional Development: The Significance of Informal Learning Networks of Digital Media Industry Professionals

    Science.gov (United States)

    Campana, Joe

    2014-01-01

    Informal learning networks play a key role in the skill and professional development of professionals, working in micro-businesses within Australia's digital media industry, as they do not have access to learning and development or human resources sections that can assist in mapping their learning pathway. Professionals working in this environment…

  2. Professionalism and evidence-based practice

    DEFF Research Database (Denmark)

    Rasmussen, Palle

    2015-01-01

    The idea of evidence- based practice is influential in public welfare services, including education. The idea is controversial, however, not least because it involves a poten tial redefinition of the relation ship between knowledge, authority and professionalism. This is discussed based on a study...... of evidence- based methods in Danish pre-school education and care. The management sees the use of these methods as strengthening pre- school teacher professionalism, but the actual practices in the day-careinstitutions are ambiguous. In some cases, using the methods becomes an end in itself and tends...... to displace important educational objectives. In other cases, the methods are reflectively adjusted to a given context. Used in this way only, evid ence-based practice and methodology is a valuable resource for professional practice in education. From such a perspective, at least some types of research based...

  3. The Crucial Role of Amateur-Professional Networks in the Golden Age of Large Surveys (Abstract)

    Science.gov (United States)

    Rodriguez, J. E.

    2017-06-01

    (Abstract only) With ongoing projects such as HATNet, SuperWASP, KELT, MEarth, and the CoRoT and Kepler/K2 mission, we are in a golden era of large photometric surveys. In addition, LSST and TESS will be coming online in the next three to five years. The combination of all these projects will increased the number of photometrically monitored stars by orders of magnitude. It is expected that these surveys will enhance our knowledge of circumstellar architecture and the early stages of stellar and planetary formation, while providing a better understanding of exoplanet demographics. However, the success of these surveys will be dependent on simultaneous and continued follow up by large networks. With federal scientific funding reduced over the past few years, the availability of astronomical observations has been directly affected. Fortunately, ground based amateur-professional networks like the AAVSO and the KELT Follow-up Network (KELT-FUN) are already providing access to an international, independent resource for professional grade astronomical observations. These networks have both multi-band photometric and spectroscopic capabilities. I provide an overview of the ongoing and future surveys, highlight past and current contributions by amateur-professional networks to scientific discovery, and discuss the role of these networks in upcoming projects.

  4. Social networking profiles and professionalism issues in residency applicants: an original study-cohort study.

    Science.gov (United States)

    Ponce, Brent A; Determann, Jason R; Boohaker, Hikel A; Sheppard, Evan; McGwin, Gerald; Theiss, Steven

    2013-01-01

    To determine the frequency of social networking, the degree of information publicly disclosed, and whether unprofessional content was identified in applicants from the 2010 Residency Match. Medical professionalism is an essential competency for physicians to learn, and information found on social networking sites may be hazardous to the doctor-patient relationship and an institution's public perception. No study has analyzed the social network content of applicants applying for residency. Online review of social networking Facebook profiles of graduating medical students applying for a residency in orthopedic surgery. Evidence of unprofessional content was based upon Accreditation Council for Graduate Medical Education guidelines. Additional recorded applicant data included as follows: age, United States Medical Licensing Examination part I score, and residency composite score. Relationship between professionalism score and recorded data points was evaluated using an analysis of variance. Nearly half of all applicants, 46% (200/431), had a Facebook profile. The majority of profiles (85%) did not restrict online access to their profile. Unprofessional content was identified in 16% of resident applicant profiles. Variables associated with lower professionalism scores included unmarried relationship status and lower residency composite scores. It is critical for healthcare professionals to recognize both the benefits and risks present with electronic communication and to vigorously protect the content of material allowed to be publically accessed through the Internet. Copyright © 2013 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  5. Development Professionals at Religiously Based Nonprofit Organizations

    Directory of Open Access Journals (Sweden)

    Jim Pinder

    2012-09-01

    Full Text Available The study of why a fundraising professional would choose to leave his or her employer is critical to the ongoing success of religiously based nonprofit organizations as they work to achieve their mission. Without continuity in the donor relationship, donors will likely leave the organization or become disenfranchised. This study focuses on development professionals at Seventh-Day Adventist institutions across North America. The results of this study are applicable to other religiously based nonprofit organizations. The present article reveals the reasons affecting employee retention and proposes approaches to mitigate the loss of valuable employees. Data were gathered using a structured online survey and analyzed for its descriptive outcomes.

  6. The networked instructor : The quality of networks in different stages of professional development

    NARCIS (Netherlands)

    Van Waes, Sara; Moolenaar, Nienke M.; Daly, Alan J.; Heldens, Henderijn H P F; Donche, Vincent; Van Petegem, Peter; Van den Bossche, Piet

    2016-01-01

    This article focuses on the quality of instructional networks in different stages of professional development. Drawing theoretically from social capital theory and literature on teacher interaction, we conducted in-depth interviews with 30 instructors at the university level. Using qualitative

  7. Competency-based continuing professional development

    NARCIS (Netherlands)

    Campbell, Craig; Silver, Ivan; Sherbino, Jonathan; Ten Cate, Olle; Holmboe, Eric S.

    2010-01-01

    Competence is traditionally viewed as the attainment of a static set of attributes rather than a dynamic process in which physicians continuously use their practice experiences to "progress in competence'' toward the attainment of expertise. A competency-based continuing professional development

  8. Professional Social Networking in Radiology: Who Is There and What Are They Doing?

    Science.gov (United States)

    Patel, Sumir S; Hawkins, C Matthew; Rawson, James V; Hoang, Jenny K

    2017-05-01

    Although it is perceived that the use of social media professionally is increasing among radiologists, little is known about the habits and demographics of this subspecialty. This study aims to compare radiologists who use social networking for professional purposes to those who do not with regard to their characteristics, habits, and attitudes. Radiologists were invited by e-mail and through posts on social networks to participate in a survey on the use of social media platforms. Questions included type of user, pattern of use, and benefits and barriers. Professional users and professional nonusers were compared. One hundred eighty-six radiologists responded. One hundred ten (59.1%) used social networking for professional purposes, 34 (18.2%) for personal-use only, and 42 (22.6%) denied using social media. LinkedIn was the most common platform among all professional users, and Twitter was the most commonly used platform among highly active professional users. Trainees comprised 52 out of 110 (47.3%) professional social networking users compared to 18 out of 76 (23.7%) nonusers (P networking for professional purposes. Radiology is likely to see growth in the role of social networking in the coming years as nearly half of professional users are radiology trainees. Twitter use for professional purposes among radiologists was disproportionately male. It is important to be cognizant of gender imbalance and to improve visibility of female leaders on social networking. Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

  9. Professional Online Presence and Learning Networks: Educating for Ethical Use of Social Media

    Science.gov (United States)

    Forbes, Dianne

    2017-01-01

    In a teacher education context, this study considers the use of social media for building a professional online presence and learning network. This article provides an overview of uses of social media in teacher education, presents a case study of key processes in relation to professional online presence and learning networks, and highlights…

  10. Enriching Professional Learning Networks: A Framework for Identification, Reflection, and Intention

    Science.gov (United States)

    Krutka, Daniel G.; Carpenter, Jeffrey Paul; Trust, Torrey

    2017-01-01

    Many educators in the 21st century utilize social media platforms to enrich professional learning networks (PLNs). PLNs are uniquely personalized networks that can support participatory and continuous learning. Social media services can mediate professional engagements with a wide variety of people, spaces and tools that might not otherwise be…

  11. The Effectiveness of Using Social Communications Networks in Mathematics Teachers' Professional Development

    Science.gov (United States)

    Hussein, Hisham Barakat

    2013-01-01

    The study aims to determine the effectiveness of using social communications networks in mathematics teachers' professional development. The main research questions was: what is the effectiveness of using social communications networks in mathematics teachers' professional development. The sub questions were: (1) what are the standards of…

  12. A PROTOTYPE OF BARENTSNET PROFESSIONAL SOCIAL NETWORK FOR INFORMATION SUPPORT OF DEVELOPMENT MANAGEMENT FOR BARENTS EURO-ARCTIC REGION

    OpenAIRE

    Andrey V. Masloboev; Remi Strand

    2014-01-01

    A prototype of professional social network BarentsNet has been developed for management activities information support of entities participating in the management process of developing and resource potential settling of the Barents EuroArctic region. BarentsNet system is implemented as a multi-domain web-service and provides formalized ontology-based expert knowledge integration of the Arctic and sub-Arctic territories development features, and professional contacts linking automa...

  13. Health professional networks as a vector for improving healthcare quality and safety: a systematic review.

    Science.gov (United States)

    Cunningham, Frances C; Ranmuthugala, Geetha; Plumb, Jennifer; Georgiou, Andrew; Westbrook, Johanna I; Braithwaite, Jeffrey

    2012-03-01

    While there is a considerable corpus of theoretical and empirical literature on networks within and outside of the health sector, multiple research questions are yet to be answered. To conduct a systematic review of studies of professionals' network structures, identifying factors associated with network effectiveness and sustainability, particularly in relation to quality of care and patient safety. The authors searched MEDLINE, CINAHL, EMBASE, Web of Science and Business Source Premier from January 1995 to December 2009. A majority of the 26 unique studies identified used social network analysis to examine structural relationships in networks: structural relationships within and between networks, health professionals and their social context, health collaboratives and partnerships, and knowledge sharing networks. Key aspects of networks explored were administrative and clinical exchanges, network performance, integration, stability and influences on the quality of healthcare. More recent studies show that cohesive and collaborative health professional networks can facilitate the coordination of care and contribute to improving quality and safety of care. Structural network vulnerabilities include cliques, professional and gender homophily, and over-reliance on central agencies or individuals. Effective professional networks employ natural structural network features (eg, bridges, brokers, density, centrality, degrees of separation, social capital, trust) in producing collaboratively oriented healthcare. This requires efficient transmission of information and social and professional interaction within and across networks. For those using networks to improve care, recurring success factors are understanding your network's characteristics, attending to its functioning and investing time in facilitating its improvement. Despite this, there is no guarantee that time spent on networks will necessarily improve patient care.

  14. A network-based dynamical ranking system

    CERN Document Server

    Motegi, Shun

    2012-01-01

    Ranking players or teams in sports is of practical interests. From the viewpoint of networks, a ranking system is equivalent a centrality measure for sports networks, whereby a directed link represents the result of a single game. Previously proposed network-based ranking systems are derived from static networks, i.e., aggregation of the results of games over time. However, the score (i.e., strength) of a player, for example, depends on time. Defeating a renowned player in the peak performance is intuitively more rewarding than defeating the same player in other periods. To account for this factor, we propose a dynamic variant of such a network-based ranking system and apply it to professional men's tennis data. Our ranking system, also interpreted as a centrality measure for directed temporal networks, has two parameters. One parameter represents the exponential decay rate of the past score, and the other parameter controls the effect of indirect wins on the score. We derive a set of linear online update equ...

  15. Internet-Based Approaches to Building Stakeholder Networks for Conservation and Natural Resource Management.

    Science.gov (United States)

    Social network analysis (SNA) is based on a conceptual network representation of social interactions and is an invaluable tool for conservation professionals to increase collaboration, improve information flow, and increase efficiency. We present two approaches to constructing in...

  16. Cloud networking understanding cloud-based data center networks

    CERN Document Server

    Lee, Gary

    2014-01-01

    Cloud Networking: Understanding Cloud-Based Data Center Networks explains the evolution of established networking technologies into distributed, cloud-based networks. Starting with an overview of cloud technologies, the book explains how cloud data center networks leverage distributed systems for network virtualization, storage networking, and software-defined networking. The author offers insider perspective to key components that make a cloud network possible such as switch fabric technology and data center networking standards. The final chapters look ahead to developments in architectures

  17. Quality of life disparities between persons with schizophrenia and their professional caregivers: Network analysis in a National Cohort.

    Science.gov (United States)

    Rotstein, Anat; Roe, David; Gelkopf, Marc; Shadmi, Efrat; Levine, Stephen Z

    2018-01-08

    Disparities between mental health patients and their professional caregivers in quality of life appraisals have been identified, however, the structure that such disparities assume is unknown. To examine the network structure of quality of life appraisals and disparities using network analysis. Participants were 1639 persons with schizophrenia using psychiatric rehabilitation services and their primary professional caregivers (N=582). Quality of life for persons with schizophrenia was measured based on an abbreviated version of the Manchester Short Assessment of Quality of Life. Appraisals were made self-reported and by professional caregivers. Disparities scores between the aforementioned were computed. Network analysis was performed on all quality of life appraisals. Sensitivity analyses were conducted. The self-appraised network significantly (pquality of life items) were health conditions and socioeconomic system, whereas caregiver-appraised network communities were social activities, and combined socioeconomic and health conditions. Strength centrality was highest for self-appraised social status and for caregiver-appraised residential status (Z=1.63, Z=1.12, respectively). The disparity scores network clustered into two communities: social relations and combined financial and health conditions. The most central appraisal disparities were in social status. Quality of life differed when self-appraised by persons with schizophrenia compared to when appraised by their professional caregivers, yet the salient role of social relations was shared. The latter may be an initial focus of discussion by persons with schizophrenia and their caregivers. Copyright © 2017 Elsevier B.V. All rights reserved.

  18. A professional spiritual care knowledge base: boon or bane?

    Science.gov (United States)

    Gleason, John J

    2013-01-01

    An Ideal Intervention Paper was initiated in 2005 to consolidate the learnings of clinical pastoral education students. As papers from students, practitioners, and educators were collected over a period of seven years, it became evident that a knowledge base comprised of this work would expedite the professionalization of clinical chaplaincy via provision of second opinions in difficult cases, education of administrators and the public about the nature of chaplaincy work, and baseline data for effectiveness research-to include replication of effective interventions toward designation of evidence based spiritual care best practices. An online 395-sample knowledge base hosted by the Association for Clinical Pastoral Education Research Network was amassed, nearly 40 percent of which is the work of experienced practitioners and educators. A pilot effectiveness study of samples failed to produce meaningful results. As an interim measure a content analysis has provided tentative effectiveness ratings until further research can be done.

  19. A social network approach to understanding science communication among fire professionals

    Science.gov (United States)

    Vita Wright

    2012-01-01

    Studies of science communication and use in the fire management community suggest manager's access research via informal information networks and that these networks vary by both agency and position. We used a phone survey followed by traditional statistical analyses to understand the informal social networks of fire professionals in two western regions of the...

  20. A social network approach to understanding science communication among fire professionals (Abstract)

    Science.gov (United States)

    Vita Wright; Andrea Thode; Anne Mottek-Lucas; Jacklynn Fallon; Megan Matonis

    2012-01-01

    Studies of science communication and use in the fire management community suggest manager's access research via informal information networks and that these networks vary by both agency and position. We used a phone survey followed by traditional statistical analyses to understand the informal social networks of fire professionals in two western regions of the...

  1. Transformational Leadership & Professional Development for Digitally Rich Learning Environments: A Case Study of the Galileo Educational Network.

    Science.gov (United States)

    Jacobsen, Michele; Clifford, Pat; Friesen, Sharon

    The Galileo Educational Network is an innovative educational reform initiative that brings learning to learners. Expert teachers work alongside teachers and students in schools to create new images of engaged learning, technology integration and professional development. This case study is based on the nine schools involved with Galileo in…

  2. CosmoQuest Collaborative: Galvanizing a Dynamic Professional Learning Network

    Science.gov (United States)

    Cobb, Whitney; Bracey, Georgia; Buxner, Sanlyn; Gay, Pamela L.; Noel-Storr, Jacob; CosmoQuest Team

    2016-10-01

    The CosmoQuest Collaboration offers in-depth experiences to diverse audiences around the nation and the world through pioneering citizen science in a virtual research facility. An endeavor between universities, research institutes, and NASA centers, CosmoQuest brings together scientists, educators, researchers, programmers—and citizens of all ages—to explore and make sense of our solar system and beyond. Leveraging human networks to expand NASA science, scaffolded by an educational framework that inspires lifelong learners, CosmoQuest engages citizens in analyzing and interpreting real NASA data, inspiring questions and defining problems.The QuestionLinda Darling-Hammond calls for professional development to be: "focused on the learning and teaching of specific curriculum content [i.e. NGSS disciplinary core ideas]; organized around real problems of practice [i.e. NGSS science and engineering practices] … [and] connected to teachers' collaborative work in professional learning community...." (2012) In light of that, what is the unique role CosmoQuest's virtual research facility can offer NASA STEM education?A Few AnswersThe CosmoQuest Collaboration actively engages scientists in education, and educators (and learners) in science. CosmoQuest uses social channels to empower and expand NASA's learning community through a variety of media, including science and education-focused hangouts, virtual star parties, and social media. In addition to creating its own supportive, standards-aligned materials, CosmoQuest offers a hub for excellent resources and materials throughout NASA and the larger astronomy community.In support of CosmoQuest citizen science opportunities, CQ initiatives (Learning Space, S-ROSES, IDEASS, Educator Zone) will be leveraged and shared through the CQPLN. CosmoQuest can be present and alive in the awareness its growing learning community.Finally, to make the CosmoQuest PLN truly relevant, it aims to encourage partnerships between scientists

  3. Professiological Bases of Professional Pedagogical Education

    Directory of Open Access Journals (Sweden)

    Markova S.M.

    2017-08-01

    Full Text Available The article deals with professiological foundations of pedagogical education, describes the scientific trends that include methodology and methods of vocational guidance, professiological features of cognition, methods of professiological description of various professions, and professional activity in general. The authors shed light on the spheres of professional research: examination of socio-economic, scientific and technical, techno-technical processes, scientific analysis of production, the professional educator’s professional spheres of action. The article presents the conditions of professional education’s development that include the developing economic integration, scientific and technical progress, veritable forecast of brand new professions, interaction of science, production and education.

  4. Sinc-function based Network

    DEFF Research Database (Denmark)

    Madsen, Per Printz

    1999-01-01

    The purpose of this paper is to describe a neural network (SNN), that is based on Shannons ideas of reconstruction of a real continuous function from its samples. The basic function, used in this network, is the Sinc-function. Two learning algorithms are described. A simple one called IM...

  5. Sinc-function based Network

    DEFF Research Database (Denmark)

    Madsen, Per Printz

    1998-01-01

    The purpose of this paper is to describe a neural network (SNN), that is based on Shannons ideas of reconstruction of a real continuous function from its samples. The basic function, used in this network, is the Sinc-function. Two learning algorithms are described. A simple one called IM...

  6. Networks of Learning : Professional Association and the Continuing Education of Teachers of Mathematics in Pakistan

    DEFF Research Database (Denmark)

    Baber, Sikunder Ali

    and policy makers have been recently receiving attention an innovative and flexible professional development forum for creating ownership among these stakeholders' regarding implementing change and reforms in educational landscape in different countries. The paper draws on the notion of "networking......" and shows how a number of professional associations have become as networks of learning to encourage the continuing professional education of both pre-service and in-service teachers in the context of Pakistan. A case of the Mathematics Association of Pakistan (MAP) as a Network of Learning is presented...

  7. Head teacher professional networks in Italy: preliminary results of a national survey

    Directory of Open Access Journals (Sweden)

    Maurissens Isabel de

    2016-06-01

    Full Text Available In this article, we present the preliminary results of a national survey conducted by INDIRE on head teachers communities and professional networks. About one-fourth of the total population of Italian public school leaders participated in the survey. One of the main intents of this research is to contribute to understanding of the phenomenon of professional networks frequented by school leaders and to pave the way for a further reflection on how to use such networks for head teachers’ training so as to support their daily professional practice conducted too often in isolation.

  8. Growing a professional network to over 3000 members in less than 4 years: evaluation of InspireNet, British Columbia's virtual nursing health services research network.

    Science.gov (United States)

    Frisch, Noreen; Atherton, Pat; Borycki, Elizabeth; Mickelson, Grace; Cordeiro, Jennifer; Novak Lauscher, Helen; Black, Agnes

    2014-02-21

    conduct their work virtually using the InspireNet platform; 10 topic-based Action Teams meet to address issues of mutual concern. Nursing and other health professionals, even those who rated themselves as computer literate, required significant mentoring and support in their efforts to adopt their practice to a virtual environment. There was a steep learning curve for professionals to learn to work in a virtual environment and to benefit from the available technologies. Virtual professional networks can be positioned to make a significant contribution to ongoing professional practice and to creating environments supportive of information sharing, mentoring, and learning across geographical boundaries. Nonetheless, creation of a Web 2.0 and social media platform is not sufficient, in and of itself, to attract or sustain a vibrant community of professionals interested in improving their practice. Essential support includes instruction in the use of Web-based activities and time management, a biweekly e-Newsletter, regular communication from leaders, and an annual face-to-face conference.

  9. Analysing Health Professionals' Learning Interactions in an Online Social Network: A Longitudinal Study.

    Science.gov (United States)

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

    2016-01-01

    This paper summarises a longitudinal analysis of learning interactions occurring over three years among health professionals in an online social network. The study employs the techniques of Social Network Analysis (SNA) and statistical modeling to identify the changes in patterns of interaction over time and test associated structural network effects. SNA results indicate overall low participation in the network, although some participants became active over time and even led discussions. In particular, the analysis has shown that a change of lead contributor results in a change in learning interaction and network structure. The analysis of structural network effects demonstrates that the interaction dynamics slow down over time, indicating that interactions in the network are more stable. The health professionals may be reluctant to share knowledge and collaborate in groups but were interested in building personal learning networks or simply seeking information.

  10. Features of Social Networking in Reaching Professional Goals of University Educators

    Directory of Open Access Journals (Sweden)

    Bordovskaia N.V.,

    2017-02-01

    Full Text Available The paper focuses on features of Internet support of professional activities in modern university educators and of learning activities in students through the organization of a new web-based space for communication between instructors and learners. It describes the authors’ experience in creating such space basing on social networking within the context of modern educational environment of university. Four major groups of university educators’ professional goals which can affectively be attained using social-networking educational resources are identified. Based on an observational study, we offer techniques that can be used for personality traits identification in students, for providing more individualized instruction and making information concerning education and achievements in an academic course more accessible, as well as for control and optimization of interactions initiated either by educator or by students (including interactions among students and those between students and educators. The effectiveness of the new instructor/learner communication channel among the participants of the educational process is proved empirically. This work was supported by grants: Russian Foundation for Basic Research 14-07-00694-а and Russian Foundation for Humanities 16-06-00486

  11. Evidence-based practice for information professionals a handbook

    CERN Document Server

    Booth, Andrew

    2004-01-01

    Examines to what extent the skills and techniques of evidence-based practice are transferable to the areas of professional practice of librarians and information professionals? Is it desirable for information professionals to integrate research findings into their day-to-day decision making?

  12. Teachers' Self-Initiated Professional Learning through Personal Learning Networks

    Science.gov (United States)

    Tour, Ekaterina

    2017-01-01

    It is widely acknowledged that to be able to teach language and literacy with digital technologies, teachers need to engage in relevant professional learning. Existing formal models of professional learning are often criticised for being ineffective. In contrast, informal and self-initiated forms of learning have been recently recognised as…

  13. Network-based functional enrichment

    Directory of Open Access Journals (Sweden)

    Poirel Christopher L

    2011-11-01

    Full Text Available Abstract Background Many methods have been developed to infer and reason about molecular interaction networks. These approaches often yield networks with hundreds or thousands of nodes and up to an order of magnitude more edges. It is often desirable to summarize the biological information in such networks. A very common approach is to use gene function enrichment analysis for this task. A major drawback of this method is that it ignores information about the edges in the network being analyzed, i.e., it treats the network simply as a set of genes. In this paper, we introduce a novel method for functional enrichment that explicitly takes network interactions into account. Results Our approach naturally generalizes Fisher’s exact test, a gene set-based technique. Given a function of interest, we compute the subgraph of the network induced by genes annotated to this function. We use the sequence of sizes of the connected components of this sub-network to estimate its connectivity. We estimate the statistical significance of the connectivity empirically by a permutation test. We present three applications of our method: i determine which functions are enriched in a given network, ii given a network and an interesting sub-network of genes within that network, determine which functions are enriched in the sub-network, and iii given two networks, determine the functions for which the connectivity improves when we merge the second network into the first. Through these applications, we show that our approach is a natural alternative to network clustering algorithms. Conclusions We presented a novel approach to functional enrichment that takes into account the pairwise relationships among genes annotated by a particular function. Each of the three applications discovers highly relevant functions. We used our methods to study biological data from three different organisms. Our results demonstrate the wide applicability of our methods. Our algorithms are

  14. Managing School-Based Professional Development Activities

    Science.gov (United States)

    Cheng, Eric C. K.

    2017-01-01

    Purpose: The purpose of this paper is to present a model to assist school leaders in managing the professional development activities of teachers. The model illustrates the important role of principals in promoting continuing professional development (CPD), chiefly by cultivating a collaborative learning culture and formulating policy.…

  15. Making "social" safer: are Facebook and other online networks becoming less hazardous for health professionals?

    Science.gov (United States)

    George, Daniel R

    2012-01-01

    Major concerns about privacy have limited health professionals' usage of popular social networking sites such as Facebook. However, the landscape of social media is changing in favor of more sophisticated privacy controls that enable users to more carefully manage public and private information. This evolution in technology makes it potentially less hazardous for health professionals to consider accepting colleagues and patients into their online networks, and invites medicine to think constructively about how social media may add value to contemporary healthcare.

  16. Skillrank: Towards a Hybrid Method to Assess Quality and Confidence of Professional Skills in Social Networks

    Directory of Open Access Journals (Sweden)

    Jose María Álvarez-Rodríguez

    2015-01-01

    Full Text Available The present paper introduces a hybrid technique to measure the expertise of users by analyzing their profiles and activities in social networks. Currently, both job seekers and talent hunters are looking for new and innovative techniques to filter jobs and candidates where candidates are trying to improve and make their profiles more attractive. In this sense, the Skillrank approach is based on the conjunction of existing and well-known information and expertise retrieval techniques that perfectly fit the existing web and social media environment to deliver an intelligent component to integrate the user context in the analysis of skills confidence. A major outcome of this approach is that it actually takes advantage of existing data and information available on the web to perform both a ranked list of experts in a field and a confidence value for every professional skill. Thus, expertise and experts can be detected, verified, and ranked using a suited trust metric. An experiment to validate the Skillrank technique based on precision and recall metrics is also presented using two different datasets: (1 ad hoc created using real data from a professional social network and (2 real data extracted from the LinkedIn API.

  17. Crossing the Color Line: Black Professional Men’s Development of Interracial Social Networks

    Directory of Open Access Journals (Sweden)

    Adia Harvey Wingfield

    2014-05-01

    Full Text Available Sociologists have established that social networks often play an important role in hiring, promotions, and occupational mobility. For black workers, however, social networks can be racialized in ways that work to their disadvantage. In this paper, I consider how black professional men develop and maintain interracial social networks with white men and women. I argue that these networks are shaped by intersections of race and gender and are intentionally constructed in response to black professional men’s perceptions of their positioning within male-dominated occupations. Specifically, this paper examines how black men establish social networks with white men, their perceptions of how diverging levels of social capital shape these networks compared to their white male peers, and their observations of ways that women are less advantaged than they are in constructing social networks.

  18. Growing a Professional Network to Over 3000 Members in Less Than 4 Years: Evaluation of InspireNet, British Columbia’s Virtual Nursing Health Services Research Network

    Science.gov (United States)

    Atherton, Pat; Borycki, Elizabeth; Mickelson, Grace; Cordeiro, Jennifer; Novak Lauscher, Helen; Black, Agnes

    2014-01-01

    each. At the time of writing, 21 research teams conduct their work virtually using the InspireNet platform; 10 topic-based Action Teams meet to address issues of mutual concern. Nursing and other health professionals, even those who rated themselves as computer literate, required significant mentoring and support in their efforts to adopt their practice to a virtual environment. There was a steep learning curve for professionals to learn to work in a virtual environment and to benefit from the available technologies. Conclusions Virtual professional networks can be positioned to make a significant contribution to ongoing professional practice and to creating environments supportive of information sharing, mentoring, and learning across geographical boundaries. Nonetheless, creation of a Web 2.0 and social media platform is not sufficient, in and of itself, to attract or sustain a vibrant community of professionals interested in improving their practice. Essential support includes instruction in the use of Web-based activities and time management, a biweekly e-Newsletter, regular communication from leaders, and an annual face-to-face conference. PMID:24566806

  19. In Search of Museum Professional Knowledge Base: Mapping the Professional Knowledge Debate onto Museum Work

    Science.gov (United States)

    Tlili, Anwar

    2016-01-01

    Museum professionalism remains an unexplored area in museum studies, particularly with regard to what is arguably the core generic question of a "sui generis" professional knowledge base, and its necessary and sufficient conditions. The need to examine this question becomes all the more important with the increasing expansion of the…

  20. Integrated palliative care is about professional networking rather than standardisation of care: A qualitative study with healthcare professionals in 19 integrated palliative care initiatives in five European countries.

    Science.gov (United States)

    den Herder-van der Eerden, Marlieke; van Wijngaarden, Jeroen; Payne, Sheila; Preston, Nancy; Linge-Dahl, Lisa; Radbruch, Lukas; Van Beek, Karen; Menten, Johan; Busa, Csilla; Csikos, Agnes; Vissers, Kris; van Gurp, Jelle; Hasselaar, Jeroen

    2018-02-01

    Integrated palliative care aims at improving coordination of palliative care services around patients' anticipated needs. However, international comparisons of how integrated palliative care is implemented across four key domains of integrated care (content of care, patient flow, information logistics and availability of (human) resources and material) are lacking. To examine how integrated palliative care takes shape in practice across abovementioned key domains within several integrated palliative care initiatives in Europe. Qualitative group interview design. A total of 19 group interviews were conducted (2 in Belgium, 4 in the Netherlands, 4 in the United Kingdom, 4 in Germany and 5 in Hungary) with 142 healthcare professionals from several integrated palliative care initiatives in five European countries. The majority were nurses ( n = 66; 46%) and physicians ( n = 50; 35%). The dominant strategy for fostering integrated palliative care is building core teams of palliative care specialists and extended professional networks based on personal relationships, shared norms, values and mutual trust, rather than developing standardised information exchange and referral pathways. Providing integrated palliative care with healthcare professionals in the wider professional community appears difficult, as a shared proactive multidisciplinary palliative care approach is lacking, and healthcare professionals often do not know palliative care professionals or services. Achieving better palliative care integration into regular healthcare and convincing the wider professional community is a difficult task that will take time and effort. Enhancing standardisation of palliative care into education, referral pathways and guidelines and standardised information exchange may be necessary. External authority (policy makers, insurance companies and professional bodies) may be needed to support integrated palliative care practices across settings.

  1. Implications of Online Social Network Sites on the Personal and Professional Learning of Educational Leaders

    Science.gov (United States)

    Elias, Scott

    2012-01-01

    The purpose of this study is to explore the ways in which five educational leaders make use of online social network sites (SNSs) for their personal and professional learning. Specifically, I focus on how participants use social networking tools to create and maintain online learning communities, how they interact within these communities, and how…

  2. Professional Education as catalyzer of local development within the context of cooperation networks in clusters

    Directory of Open Access Journals (Sweden)

    Eduardo Dias Leite

    2016-09-01

    Full Text Available Professional training, with knowledge spreading, promotes the fruitful actions for local development within the context of networks among organizations or clusters that constitute an organizational form able to be identified in several productive and innovative sectors. In the training for human resources, diverse educational and training actors seek to connect knowledge offer to local economical need. This article aims to describe the professional education in Brazil, in the scope of networks present in clusters which cooperate for local development, based on the main Brazilian economical activities, with a focus on the Federal District. For the development of this research, concerning the methodological aspects, the research was descriptive and for data collection documentary and bibliographic resources were used, on the basis of an analysis on the Pesquisa Nacional por Amostra de Domicílio, from IBGE, with the aid of SPSS program. The results highlight the main activities that need labor force in the Federal District and compare with what is really being offered in Brazil, whose service sector shows higher relevance.

  3. Cultivating professional communities of teachers and practitioners through social network sites

    Directory of Open Access Journals (Sweden)

    Maria Ranieri

    2012-04-01

    Full Text Available This paper provides an original contribution to the field by exploring pathways of social network uses within professional communities, with special attention to groups of teachers. Through a purposely designed survey, the study analyses the motivations and aims of a range of social network group managers, and attempts to highlight mechanisms of members’ affiliation and participation. As an exploratory study, it is a first step towards comprehension of these mechanisms and their implications for learning and professional development. The study reveals that, typically, group managers are advanced Internet users, that groups are founded not only for professional reasons but also for the Internet’s ethical and participatory value, and that groups pave the way towards processes of contamination between the real and virtual which generate new professional initiatives. A more in-depth study is currently underway that also involves social network group members.

  4. No longer simply a Practice-based Research Network (PBRN) health improvement networks.

    Science.gov (United States)

    Williams, Robert L; Rhyne, Robert L

    2011-01-01

    While primary care Practice-based Research Networks are best known for their original, research purpose, evidence accumulating over the last several years is demonstrating broader values of these collaborations. Studies have demonstrated their role in quality improvement and practice change, in continuing professional education, in clinician retention in medically underserved areas, and in facilitating transition of primary care organization. A role in informing and facilitating health policy development is also suggested. Taking into account this more robust potential, we propose a new title, the Health Improvement Network, and a new vision for Practice-based Research Networks.

  5. A PROTOTYPE OF BARENTSNET PROFESSIONAL SOCIAL NETWORK FOR INFORMATION SUPPORT OF DEVELOPMENT MANAGEMENT FOR BARENTS EURO-ARCTIC REGION

    Directory of Open Access Journals (Sweden)

    Andrey V. Masloboev

    2014-09-01

    Full Text Available A prototype of professional social network BarentsNet has been developed for management activities information support of entities participating in the management process of developing and resource potential settling of the Barents EuroArctic region. BarentsNet system is implemented as a multi-domain web-service and provides formalized ontology-based expert knowledge integration of the Arctic and sub-Arctic territories development features, and professional contacts linking automation within the system for cooperation and joint project realization in this sphere. The functionality organization model, executive core and software components of the BarentsNet system have been developed.

  6. Social Media for Professional Development and Networking Opportunities in Academia

    Science.gov (United States)

    Donelan, Helen

    2016-01-01

    The research reported on in this article explores the use of social media for work-related or professional purposes. In particular, it focuses on the perceptions and use of social media by academics in the UK. The purpose of the research was to explore the potential social media has to facilitate the changing landscape of higher education and…

  7. Professional Development and Networking: The Keys to Managing My Career

    Science.gov (United States)

    Reilly, Cindy

    2013-01-01

    In this article, the author describes her journey serving in five school districts and finally becoming a business manager in her hometown in Wisconsin. Having become involved in professional organizations and working to share what she knows, she became recognized as a skilled business official and thus never had a problem finding a job or…

  8. A qualitative evaluation of a Local Professional Network programme "Baby Teeth DO Matter".

    Science.gov (United States)

    Brocklehurst, P; Bridgman, C; Davies, G

    2013-12-01

    The objective of this study was to use a qualitative approach to examine the perceptions of dentists who led a health promotion programme entitled "Baby Teeth DO Matter". Semi-structured interviews were undertaken with a variety of participants in a health promotional programme facilitated by a shadow Local Professional Network. These were then recorded and transcribed verbatim. The transcripts were line numbered and subjected to thematic analysis to develop a coding frame. Overarching themes were developed from the coded transcripts by organising them into clusters based on the similarity of their meaning and checked against the coded extracts and the raw data. General Dental Practice. General Dental Practitioners. A Greater Manchester-wide prevention programme entitled "Baby teeth DO Matter". To determine the perceptions of involved clinicians and whether "clinically owned and clinically led" services add value. Eight codes were generated: "Success of the project", "Down-stream to up-stream", "Importance of clinically led and clinically owned", "Keeping the approach simple", "Importance of networking", "Importance of Dental Public Health", "Importance of task and finish" and "Threats to the future of the Local Professional Network". These were organised into three over-arching themes. "Clinically Led and Clinically Owned" projects appear to empower local practitioners and add value. They encourage community-facing practitioners, build capacity and develop personal skills;--all in accordance with the fundamental principles of the Ottawa Charter. Distributed leadership was seen to be effective and Dental Public Health input, "Task and Finishing", resources and clarity of communication were all considered to be of critical importance.

  9. Host Event Based Network Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Jonathan Chugg

    2013-01-01

    The purpose of INL’s research on this project is to demonstrate the feasibility of a host event based network monitoring tool and the effects on host performance. Current host based network monitoring tools work on polling which can miss activity if it occurs between polls. Instead of polling, a tool could be developed that makes use of event APIs in the operating system to receive asynchronous notifications of network activity. Analysis and logging of these events will allow the tool to construct the complete real-time and historical network configuration of the host while the tool is running. This research focused on three major operating systems commonly used by SCADA systems: Linux, WindowsXP, and Windows7. Windows 7 offers two paths that have minimal impact on the system and should be seriously considered. First is the new Windows Event Logging API, and, second, Windows 7 offers the ALE API within WFP. Any future work should focus on these methods.

  10. Administrative professional's role in the processing, retrieval, dissemination and repackaging of information in the networked enterprise

    OpenAIRE

    2008-01-01

    The purpose of this research was to establish the administrative professional's role in the processing, retrieval, dissemination and repackaging of digital information in the networked enterprise, and to determine how the administrative professional can add value to the organisation and enhance its competitive position in industry. The digital economy has changed business practices to such an extent that research of the digital office environment and the administrative professional’s role in ...

  11. Careers and Networking: Professional Development for Graduate Students and Post-docs

    Science.gov (United States)

    Jungbluth, S.; Boiteau, R.; Bottjer, D.; De Leo, F. C.; Hawko, N.; Ilikchyan, I.; Bruno, B. C.

    2013-12-01

    Established in 2006 by the National Science Foundation, the Center for Microbial Oceanography: Research and Education (C-MORE) is a multi-institutional Science and Technology Center based at the University of Hawai i. One of C-MORE's missions is to provide graduate students and post-docs with state-of-the-art training, which primarily occurs through laboratory- and field-based research. Additionally, C-MORE offers a Professional Development Training Program (PDTP) to help students and post-docs develop a range of "soft" skills such as science communication, leadership, proposal writing, teaching and mentoring (Bruno et al, 2013). The PDTP not only provides professional development training to graduate students and post-docs, but also encourages these young scientists to take leadership of their training. The Professional Development Organizing Committee (PDOC), composed of students and post-docs across the various C-MORE institutions, works closely with the Education Office to implement the eight core PDTP modules as well as 'on-demand' workshops. In February 2013, we organized a workshop to promote networking and foster scientific collaborations among C-MORE graduate students and post-doctoral researchers at the seven partner institutions: the University of Hawaii, Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Oregon State University, University of California Santa Cruz, Monterey Bay Aquarium Research Institute and Columbia University. The workshop was held in New Orleans in conjunction with the 2013 ASLO/ Ocean Sciences national meeting. In this paper, we will describe the student-led planning process, the workshop itself, and evaluation results. We will also present examples of some of the collaborations that resulted from this workshop.

  12. Managerial Networks and Exploration in a Professional Service Firm

    DEFF Research Database (Denmark)

    Rogan, Michelle; Mors, Louise

    2017-01-01

    A firm’s growth and survival depends on the ability of its managers to explore for new business and knowledge; yet, exploration is challenging for most large, established firms. Extending prior research into networks and exploration, we propose that a key characteristic of managers’ external netw...

  13. Where Social and Professional Networking Meet: The Virtual Association Chapter

    Science.gov (United States)

    Noxon, Rose

    2011-01-01

    Online Capella University wanted to sponsor an International Society for Performance Improvement (ISPI) chapter. Using social networking platforms, a new type of chapter was designed. The virtual chapter breaks new ground on more than the chapter's platform; it is also the first university-sponsored chapter and has a unique approach to…

  14. IMC/RMC Network Professional Film Collection. Second Edition.

    Science.gov (United States)

    Council for Exceptional Children, Reston, VA. Information Center on Exceptional Children.

    The catalog lists and describes approximately 293 films concerning handicapped children which are available from the Instructional Materials Centers and Regional Media Centers Network. Films are organized under the following categories (number of films for each category is indicated in parentheses): art for exceptional children (five), autism…

  15. A network-based dynamical ranking system for competitive sports

    Science.gov (United States)

    Motegi, Shun; Masuda, Naoki

    2012-12-01

    From the viewpoint of networks, a ranking system for players or teams in sports is equivalent to a centrality measure for sports networks, whereby a directed link represents the result of a single game. Previously proposed network-based ranking systems are derived from static networks, i.e., aggregation of the results of games over time. However, the score of a player (or team) fluctuates over time. Defeating a renowned player in the peak performance is intuitively more rewarding than defeating the same player in other periods. To account for this factor, we propose a dynamic variant of such a network-based ranking system and apply it to professional men's tennis data. We derive a set of linear online update equations for the score of each player. The proposed ranking system predicts the outcome of the future games with a higher accuracy than the static counterparts.

  16. A network-based dynamical ranking system for competitive sports.

    Science.gov (United States)

    Motegi, Shun; Masuda, Naoki

    2012-01-01

    From the viewpoint of networks, a ranking system for players or teams in sports is equivalent to a centrality measure for sports networks, whereby a directed link represents the result of a single game. Previously proposed network-based ranking systems are derived from static networks, i.e., aggregation of the results of games over time. However, the score of a player (or team) fluctuates over time. Defeating a renowned player in the peak performance is intuitively more rewarding than defeating the same player in other periods. To account for this factor, we propose a dynamic variant of such a network-based ranking system and apply it to professional men's tennis data. We derive a set of linear online update equations for the score of each player. The proposed ranking system predicts the outcome of the future games with a higher accuracy than the static counterparts.

  17. CNEM: Cluster Based Network Evolution Model

    Directory of Open Access Journals (Sweden)

    Sarwat Nizamani

    2015-01-01

    Full Text Available This paper presents a network evolution model, which is based on the clustering approach. The proposed approach depicts the network evolution, which demonstrates the network formation from individual nodes to fully evolved network. An agglomerative hierarchical clustering method is applied for the evolution of network. In the paper, we present three case studies which show the evolution of the networks from the scratch. These case studies include: terrorist network of 9/11 incidents, terrorist network of WMD (Weapons Mass Destruction plot against France and a network of tweets discussing a topic. The network of 9/11 is also used for evaluation, using other social network analysis methods which show that the clusters created using the proposed model of network evolution are of good quality, thus the proposed method can be used by law enforcement agencies in order to further investigate the criminal networks

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

    Science.gov (United States)

    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.

  19. Report on the September 2011 Meeting of the Next Generation Safegaurds Professional Network

    Energy Technology Data Exchange (ETDEWEB)

    Gitau, Ernest TN; Benz, Jacob M.

    2011-12-19

    The Next Generation Safeguards Professional Network (NGSPN) was established in 2009 by Oak Ridge National Laboratory targeted towards the engagement of young professionals employed in safeguards across the many national laboratories. NGSPN focuses on providing a mechanism for young safeguards professionals to connect and foster professional relationships, facilitating knowledge transfer between current safeguards experts and the next generation of experts, and acting as an entity to represent the interests of the international community of young and mid-career safeguards professionals. This is accomplished in part with a yearly meeting held at a national laboratory site. In 2011, this meeting was held at Pacific Northwest National Laboratory. This report documents the events and results of that meeting.

  20. Professional networks and the alignment of individual perceptions about medical innovation.

    Science.gov (United States)

    Iacopino, Valentina; Mascia, Daniele; Cicchetti, Americo

    In recent decades, the role of technology in health care organizations has become increasingly relevant because it enhances health care outcomes and the achievement of clinical goals. Extant research demonstrates that the effectiveness of a medical innovation depends largely on health care professionals' perceptions of its usefulness and impact on their activities and practices. We also know that interaction among social actors contributes to the shaping of their judgments and opinions regarding innovation. This study investigated the role of professionals' social networks and social capital in the formation of similar individual perceptions about a highly innovative robotic surgical system. We collected data from a sample of 50 professionals, including both physicians and nurses, working in three hospital wards belonging to an Italian hospital organization. Using a survey, we gathered data on professionals' demographic characteristics, the adoption and impact of the new technology, and social networks. We tested our hypotheses using a dyadic perspective and logistic regression quadratic assignment procedures. Our findings document that professionals' perceptions regarding technological change were more likely to be similar when they were connected and exhibited similarity in some social capital characteristics and adoption behavior. These results have important implications for health care executives and administrators, as well as for health professionals characterized by high degrees of autonomy and for which organizational change can be affected by professional or organizational resistance.

  1. Social network utilization (Facebook) & e-Professionalism among medical students.

    Science.gov (United States)

    Jawaid, Masood; Khan, Muhammad Hassaan; Bhutto, Shahzadi Nisar

    2015-01-01

    To find out the frequency and contents of online social networking (Facebook) among medical students of Dow University of Health Sciences. The sample of the study comprised of final year students of two medical colleges of Dow University of Health Sciences - Karachi. Systematic search for the face book profiles of the students was carried out with a new Facebook account. In the initial phase of search, it was determined whether each student had a Facebook account and the status of account as ''private'' ''intermediate'' or ''public'' was also sought. In the second phase of the study, objective information including gender, education, personal views, likes, tag pictures etc. were recorded for the publicly available accounts. An in depth qualitative content analysis of the public profiles of ten medical students, selected randomly with the help of random number generator technique was conducted. Social networking with Facebook is common among medical students with 66.9% having an account out of a total 535 students. One fifth of profiles 18.9% were publicly open, 36.6% profiles were private and 56.9% were identified to have an intermediate privacy setting, having customized settings for the profile information. In-depth analysis of some public profiles showed that potentially unprofessional material mostly related to violence and politics was posted by medical students. The usage of social network (Facebook) is very common among students of the university. Some unprofessional posts were also found on students' profiles mostly related to violence and politics.

  2. The professional clothing bank as evidence-based practice.

    Science.gov (United States)

    Bishop, SueZanne Monique

    2015-01-01

    Little research exists linking interview-appropriate attire to improved employment outcomes for women. Thus, it appears that the professional clothing bank has not been investigated as evidence-based practice. To provide preliminary evidence for clothing banks, in this article the author synthesizes findings from existing research on the provision of a professional clothing bank as a means for offering interview-appropriate attire to poor women in job readiness programming. For context, job readiness programs are explored and a case study of one program operating a professional clothing bank is presented. Finally, preliminary considerations for planning and implementing clothing banks based on this literature review are given.

  3. CosmoQuest: Galvanizing a Dynamic, Inclusive Professional Learning Network

    Science.gov (United States)

    Cobb, W. H.; Buxner, S.; Bracey, G.; Noel-Storr, J.; Gay, P.; Graff, P. V.

    2016-12-01

    The CosmoQuest Virtual Research Facility offers experiences to audiences around the nation and globally through pioneering citizen science. An endeavor between universities, research institutes, and NASA centers, CosmoQuest brings together scientists, educators, researchers, programmers—and individuals of all ages—to explore and make sense of our solar system and beyond. Scaffolded by an educational framework that inspires 21stCentury learners, CosmoQuest engages people—you, me!—in analyzing and interpreting real NASA data, inspiring questions and defining problems. Linda Darling-Hammond calls for professional development to be: "focused on the learning and teaching of specific curriculum content [i.e. NGSS disciplinary core ideas]; organized around real problems of practice [i.e. NGSS science and engineering practices] …; [and] connected to teachers' collaborative work in professional learning community...." (2012). In light of that, what can CosmoQuest offer NASA STEM education as a virtual research facility? CosmoQuest engages scientists with learners, and learners with science. As a virual research facility, its focal point must be its online platform. CosmoQuest empowers and expands community through a variety of social channels, including science and education-focused hangouts, podcasts, virtual star parties, and social media. In addition to creating standards-aligned materials, CosmoQuest channels are a hub for excellent resources throughout NASA and the larger astronomical community. In support of CosmoQuest citizen science opportunities, the process and outcomes of CosmoQuest initiatives will be leveraged and shared. Thus, CosmoQuest will be present and alive in the awareness of its growing community. Finally, to make CosmoQuest truly relevant, partnerships between scientists and educators are encouraged and facilitated, and "just-in-time" opportunities to support constituents exploring emerging NASA STEM education and new NASA data will be

  4. Developing an online professional network for veterinary education: the NOVICE project.

    Science.gov (United States)

    Baillie, Sarah; Kinnison, Tierney; Forrest, Neil; Dale, Vicki H M; Ehlers, Jan P; Koch, Michael; Mándoki, Mira; Ciobotaru, Emilia; de Groot, Esther; Boerboom, Tobias B B; van Beukelen, Peter

    2011-01-01

    An online professional network for veterinarians, veterinary students, veterinary educationalists, and ICT (Information and Communication Technology) educationalists is being developed under the EU (European Union) Lifelong Learning Programme. The network uses Web 2.0, a term used to describe the new, more interactive version of the Internet, and includes tools such as wikis, blogs, and discussion boards. Focus groups conducted with qualified and student veterinarians within the project's five founding countries (The Netherlands, Germany, United Kingdom, Hungary, Romania) demonstrated that online professional communities can be valuable for accessing information and establishing contacts. Online networks have the potential to overcome common challenges to face-to-face communities-such as distance, cost, and timing-but they have their own drawbacks, such as security and professionalism issues. The Network Of Veterinary ICt in Education (NOVICE) was developed using Elgg, an open-source, free social networking platform, after several software options had been considered. NOVICE aims to promote the understanding of Web 2.0, confidence to use social software tools, and participation in an online community. Therefore, the Web site contains help sections, Frequently Asked Questions, and access to support from ICT experts. Five months after the network's launch (and just over one year into the project) 515 members from 28 countries had registered. Further research will include analysis of a core group's activities, which will inform ongoing support for and development of informal, lifelong learning in a veterinary context.

  5. Location-Based Services in Vehicular Networks

    Science.gov (United States)

    Wu, Di

    2013-01-01

    Location-based services have been identified as a promising communication paradigm in highly mobile and dynamic vehicular networks. However, existing mobile ad hoc networking cannot be directly applied to vehicular networking due to differences in traffic conditions, mobility models and network topologies. On the other hand, hybrid architectures…

  6. Medication Information Seeking Behavior in a Social Context: The Role of Lay and Professional Social Network Contacts

    Directory of Open Access Journals (Sweden)

    Andrea L. Kjos, Pharm.D., Ph.D.

    2011-01-01

    Full Text Available This study provided a view of the social context of medication information seeking from a patient’s perspective.This was an exploratory qualitative study with 40 adults to determine how patients communicate within social networks to seek medication information. Semi-structured interviews were used to determine the structure (who, the content provided (what, and the function of social sources of information (how/why. Data underwent ethnographic content analysis using theory and prior research driven themes. Coding matrices were created to identify emerging patterns for who supplied what information and how the information was used. Participants described seeking medication information from health professional or lay social network sources. Health professional sources’ strongest role was to provide factual information. In contrast, lay sources provided factual information and affective information such as personal experiences and beliefs or attitudes. Information sought from social sources displayed similar functioning roles in terms of how the information was used by the participants seeking the information. The study concluded that medication information is sought from social sources both inside and outside of healthcare. Emerging patterns found that lay sources may provide patients more than affective information about medications. Further, patients may be receiving factually based information other than from health professionals. By coming to a more complete understanding of the social nature of the information environment, health professionals can better understand information needs from a patient’s perspective.

  7. An Implementation of a Twitter-Supported Personal Learning Network to Individualize Teacher Professional Development

    Science.gov (United States)

    Deyamport, W. H., III.

    2013-01-01

    In this action research study, eight teachers at an elementary school were trained in the use of Twitter to support the development of a personal learning network as a strategy to address non-differentiated professional development at the school. The main research question for this study was: In what ways, if any, can the use of a…

  8. Analyzing Networked Learning Practices in HigherEducation and Continuing Professional Development

    DEFF Research Database (Denmark)

    Dirckinck-Holmfeld, Lone

    Deliverable 28.5.4 reports on the preparation of the book "Analysing Networked Learning Practices in Higher Education and Continuing Professional Development", which consists of an Introduction, case studies and a concluding section, which presents the theoretical work and empirical work conducted...

  9. Professional Networks among Rural School Food Service Directors Implementing the Healthy, Hunger-Free Kids Act

    Science.gov (United States)

    Lubker Cornish, Disa; Askelson, Natoshia M.; Golembiewski, Elizabeth H.

    2015-01-01

    Purpose/Objectives: This study was designed to explore the professional networks of rural school food service directors (FSD), the resources they use for implementing the Healthy, Hunger-free Kids Act of 2010 (HHFKA), and their needs for information and support to continue to implement successfully. Methods: Rural FSD participated in an in-depth…

  10. Informal, Practice-Based Learning for Professionals: A Changing Orientation for Legitimate Continuing Professional Education?

    Science.gov (United States)

    Ritchie, Karen

    1998-01-01

    A practice-based learning model, involving self-directed learning, critical self-reflection, intentional active learning, and learning community, provides a way to structure informal continuing professional education (CPE) that occurs in practice. As individuals assume more responsibility for their learning, the legitimacy of informal CPE should…

  11. An acoustical model based monitoring network

    NARCIS (Netherlands)

    Wessels, P.W.; Basten, T.G.H.; Eerden, F.J.M. van der

    2010-01-01

    In this paper the approach for an acoustical model based monitoring network is demonstrated. This network is capable of reconstructing a noise map, based on the combination of measured sound levels and an acoustic model of the area. By pre-calculating the sound attenuation within the network the

  12. Location based Network Optimizations for Mobile Wireless Networks

    DEFF Research Database (Denmark)

    Nielsen, Jimmy Jessen

    The availability of location information in mobile devices, e.g., through built-in GPS receivers in smart phones, has motivated the investigation of the usefulness of location based network optimizations. Since the quality of input information is important for network optimizations, a main focus...... of this work is to evaluate how location based network optimizations are affected by varying quality of input information such as location information and user movements. The first contribution in this thesis concerns cooperative network-based localization systems. The investigations focus on assessing...... the achievable accuracy of future localization system in mobile settings, as well as quantifying the impact of having a realistic model of the required measurement exchanges. Secondly, this work has considered different large scale and small scale location based network optimizations, namely centralized relay...

  13. APECS: A Network for Polar Early Career Scientist Professional Development

    Science.gov (United States)

    Enderlin, E. M.

    2014-12-01

    informal meet-ups, providing a means to personally interact with a subset of APECS' 4725 members. The combination of in-person and online activities and resources hosted/organized by APECS provides members with unique opportunities for networking, career development, and international and interdisciplinary collaboration.

  14. A Quantum Cryptography Communication Network Based on Software Defined Network

    Directory of Open Access Journals (Sweden)

    Zhang Hongliang

    2018-01-01

    Full Text Available With the development of the Internet, information security has attracted great attention in today’s society, and quantum cryptography communication network based on quantum key distribution (QKD is a very important part of this field, since the quantum key distribution combined with one-time-pad encryption scheme can guarantee the unconditional security of the information. The secret key generated by quantum key distribution protocols is a very valuable resource, so making full use of key resources is particularly important. Software definition network (SDN is a new type of network architecture, and it separates the control plane and the data plane of network devices through OpenFlow technology, thus it realizes the flexible control of the network resources. In this paper, a quantum cryptography communication network model based on SDN is proposed to realize the flexible control of quantum key resources in the whole cryptography communication network. Moreover, we propose a routing algorithm which takes into account both the hops and the end-to-end availible keys, so that the secret key generated by QKD can be used effectively. We also simulate this quantum cryptography communication network, and the result shows that based on SDN and the proposed routing algorithm the performance of this network is improved since the effective use of the quantum key resources.

  15. A Network Coding Based Routing Protocol for Underwater Sensor Networks

    Directory of Open Access Journals (Sweden)

    Xin Guan

    2012-04-01

    Full Text Available Due to the particularities of the underwater environment, some negative factors will seriously interfere with data transmission rates, reliability of data communication, communication range, and network throughput and energy consumption of underwater sensor networks (UWSNs. Thus, full consideration of node energy savings, while maintaining a quick, correct and effective data transmission, extending the network life cycle are essential when routing protocols for underwater sensor networks are studied. In this paper, we have proposed a novel routing algorithm for UWSNs. To increase energy consumption efficiency and extend network lifetime, we propose a time-slot based routing algorithm (TSR.We designed a probability balanced mechanism and applied it to TSR. The theory of network coding is introduced to TSBR to meet the requirement of further reducing node energy consumption and extending network lifetime. Hence, time-slot based balanced network coding (TSBNC comes into being. We evaluated the proposed time-slot based balancing routing algorithm and compared it with other classical underwater routing protocols. The simulation results show that the proposed protocol can reduce the probability of node conflicts, shorten the process of routing construction, balance energy consumption of each node and effectively prolong the network lifetime.

  16. A network coding based routing protocol for underwater sensor networks.

    Science.gov (United States)

    Wu, Huayang; Chen, Min; Guan, Xin

    2012-01-01

    Due to the particularities of the underwater environment, some negative factors will seriously interfere with data transmission rates, reliability of data communication, communication range, and network throughput and energy consumption of underwater sensor networks (UWSNs). Thus, full consideration of node energy savings, while maintaining a quick, correct and effective data transmission, extending the network life cycle are essential when routing protocols for underwater sensor networks are studied. In this paper, we have proposed a novel routing algorithm for UWSNs. To increase energy consumption efficiency and extend network lifetime, we propose a time-slot based routing algorithm (TSR).We designed a probability balanced mechanism and applied it to TSR. The theory of network coding is introduced to TSBR to meet the requirement of further reducing node energy consumption and extending network lifetime. Hence, time-slot based balanced network coding (TSBNC) comes into being. We evaluated the proposed time-slot based balancing routing algorithm and compared it with other classical underwater routing protocols. The simulation results show that the proposed protocol can reduce the probability of node conflicts, shorten the process of routing construction, balance energy consumption of each node and effectively prolong the network lifetime.

  17. A Strength-Based Approach to Teacher Professional Development

    Science.gov (United States)

    Zwart, Rosanne C.; Korthagen, Fred A. J.; Attema-Noordewier, Saskia

    2015-01-01

    Based on positive psychology, self-determination theory and a perspective on teacher quality, this study proposes and examines a strength-based approach to teacher professional development. A mixed method pre-test/post-test design was adopted to study perceived outcomes of the approach for 93 teachers of six primary schools in the Netherlands and…

  18. A strength-based approach to teacher professional development

    NARCIS (Netherlands)

    Zwart, Rosanne; Korthagen, Fred A J; Attema-Noordewier, Saskia

    2015-01-01

    Based on positive psychology, self-determination theory and a perspective on teacher quality, this study proposes and examines a strength-based approach to teacher professional development. A mixed method pre-test/post-test design was adopted to study perceived outcomes of the approach for 93

  19. A strength-based approach to teacher professional development

    NARCIS (Netherlands)

    Zwart, Rosanne C.; Korthagen, Fred A J; Attema-Noordewier, Saskia

    2014-01-01

    Based on positive psychology, self-determination theory and a perspective on teacher quality, this study proposes and examines a strength-based approach to teacher professional development. A mixed method pre-test/post-test design was adopted to study perceived outcomes of the approach for 93

  20. Dynamic Strategic Planning in a Professional Knowledge-Based Organization

    Science.gov (United States)

    Olivarius, Niels de Fine; Kousgaard, Marius Brostrom; Reventlow, Susanne; Quelle, Dan Grevelund; Tulinius, Charlotte

    2010-01-01

    Professional, knowledge-based institutions have a particular form of organization and culture that makes special demands on the strategic planning supervised by research administrators and managers. A model for dynamic strategic planning based on a pragmatic utilization of the multitude of strategy models was used in a small university-affiliated…

  1. Ethical and Professional Norms in Community-Based Research

    Science.gov (United States)

    Campano, Gerald; Ghiso, María Paula; Welch, Bethany J.

    2015-01-01

    In this article Gerald Campano, María Paula Ghiso, and Bethany J. Welch explore the role of ethical and professional norms in community-based research, especially in fostering trust within contexts of cultural diversity, systemic inequity, and power asymmetry. The authors present and describe a set of guidelines for community-based research that…

  2. ENERGY AWARE NETWORK: BAYESIAN BELIEF NETWORKS BASED DECISION MANAGEMENT SYSTEM

    Directory of Open Access Journals (Sweden)

    Santosh Kumar Chaudhari

    2011-06-01

    Full Text Available A Network Management System (NMS plays a very important role in managing an ever-evolving telecommunication network. Generally an NMS monitors & maintains the health of network elements. The growing size of the network warrants extra functionalities from the NMS. An NMS provides all kinds of information about networks which can be used for other purposes apart from monitoring & maintaining networks like improving QoS & saving energy in the network. In this paper, we add another dimension to NMS services, namely, making an NMS energy aware. We propose a Decision Management System (DMS framework which uses a machine learning technique called Bayesian Belief Networks (BBN, to make the NMS energy aware. The DMS is capable of analysing and making control decisions based on network traffic. We factor in the cost of rerouting and power saving per port. Simulations are performed on standard network topologies, namely, ARPANet and IndiaNet. It is found that ~2.5-6.5% power can be saved.

  3. Dialogue as base for learning professional practice

    DEFF Research Database (Denmark)

    Hansen, Birgit Heimann

    2006-01-01

    and support during this transition are a major causes of anxiety. Morover, findings highlight the importance of clinicians and academic nurses working together to ensure that students are provided with the best possible opportunities for clinical learning. This paper discusses the dialogue as base......The ongoing debate and recent literature studies show that newly qualified nurses do not have the clinical experiences and qualifications required in nursing practice. Findings reveal that the transition from student nurse to staff nurse is a difficult time and that perceived lack of knowledge...

  4. Inference of Gene Regulatory Network Based on Local Bayesian Networks.

    Science.gov (United States)

    Liu, Fei; Zhang, Shao-Wu; Guo, Wei-Feng; Wei, Ze-Gang; Chen, Luonan

    2016-08-01

    The inference of gene regulatory networks (GRNs) from expression data can mine the direct regulations among genes and gain deep insights into biological processes at a network level. During past decades, numerous computational approaches have been introduced for inferring the GRNs. However, many of them still suffer from various problems, e.g., Bayesian network (BN) methods cannot handle large-scale networks due to their high computational complexity, while information theory-based methods cannot identify the directions of regulatory interactions and also suffer from false positive/negative problems. To overcome the limitations, in this work we present a novel algorithm, namely local Bayesian network (LBN), to infer GRNs from gene expression data by using the network decomposition strategy and false-positive edge elimination scheme. Specifically, LBN algorithm first uses conditional mutual information (CMI) to construct an initial network or GRN, which is decomposed into a number of local networks or GRNs. Then, BN method is employed to generate a series of local BNs by selecting the k-nearest neighbors of each gene as its candidate regulatory genes, which significantly reduces the exponential search space from all possible GRN structures. Integrating these local BNs forms a tentative network or GRN by performing CMI, which reduces redundant regulations in the GRN and thus alleviates the false positive problem. The final network or GRN can be obtained by iteratively performing CMI and local BN on the tentative network. In the iterative process, the false or redundant regulations are gradually removed. When tested on the benchmark GRN datasets from DREAM challenge as well as the SOS DNA repair network in E.coli, our results suggest that LBN outperforms other state-of-the-art methods (ARACNE, GENIE3 and NARROMI) significantly, with more accurate and robust performance. In particular, the decomposition strategy with local Bayesian networks not only effectively reduce

  5. Novel survey disseminated through Twitter supports its utility for networking, disseminating research, advocacy, clinical practice and other professional goals.

    Science.gov (United States)

    Borgmann, Hendrik; DeWitt, Sasha; Tsaur, Igor; Haferkamp, Axel; Loeb, Stacy

    2015-01-01

    Twitter use has grown exponentially within the urological community. We aimed to determine the perceptions of the impact of Twitter on users' clinical practice, research, and other professional activities. We performed an 11-item online survey of Twitter contributors during two major urological meetings: the European Association of Urology (EAU) and the American Urological Association (AUA) annual meetings. During the EAU 2014 meeting, we distributed the survey via the meeting official Twitter feed. During the AUA 2014 meeting, we applied a new method by directly sending the survey to Twitter contributors. We performed a subset analysis for assessing the perceived impact of Twitter on the clinical practice of physicians. Among 312 total respondents, the greatest perceived benefits of Twitter among users were for networking (97%) and disseminating information (96%), followed by research (75%), advocacy (74%) and career development (62%). In total, 65% of Twitter users have dealt with guidelines on online medical professionalism and 71% of physician users found that Twitter had an impact on their clinical practice, and 33% had made a clinical decision based on an online case discussion. Our results suggest that Twitter users in the urological community perceive important benefits. These benefits extend to multiple professional domains, particularly networking, disseminating information, remote conference participation, research, and advocacy. This is the first study that has been disseminated to targeted individuals from the urological community directly through tweets, providing a proof of principle for this research method.

  6. Durer-pentagon-based complex network

    Directory of Open Access Journals (Sweden)

    Rui Hou

    2016-04-01

    Full Text Available A novel Durer-pentagon-based complex network was constructed by adding a centre node. The properties of the complex network including the average degree, clustering coefficient, average path length, and fractal dimension were determined. The proposed complex network is small-world and fractal.

  7. University-School Collaborative Networks: A Strategy to Improve the Professional Skills of Future Teachers

    Directory of Open Access Journals (Sweden)

    Rosario Mérida Serrano

    2012-01-01

    Full Text Available This paper presents an experiment in teaching innovation developed at the University of Cordoba's Faculty of Education (Spain, in the second year of the Infant Education Teacher Training course, within the subject of general didactics. The innovative approach taken focused on setting up a collaborative network between infants' schools and the university. Taking Project Work as the central axis, a learning network has been built with the participation of sixteen Infant Education teachers, three hundred twenty children from this stage, seven university teachers, eighty-five trainee teachers, and two Infant Education advisers from a continuing professional development centre for teachers. The theoretical foundations that support this experiment are described along with their different stages, evaluating the benefits of each of them in facilitating the acquisition of professional competences among university students.

  8. Continuity of care in the Health Care Network: negotiation between users and professionals

    Directory of Open Access Journals (Sweden)

    Maria Denise Schimith

    2014-12-01

    Full Text Available This study aimed to identify the negotiation and shared decision-making between professionals and users in a Family Health Unit and its influence on the continuity of care in the Health Care Network. Qualitative research created from a case study. One conducted 19 interviews, observation and document research. It was developed in a city in the countryside of Rio Grande do Sul, Brazil, in 2012. The results show that decisions used to happen unilaterally and that users and professionals looked for alternative ways to the continuity of care. It was not possible to identify the negotiation between professional and users and it was noticed that the user was alone looking for access. It is understood that primary care in the city researched needs to take responsibility for users and their access.

  9. LINKEDIN TRILOGY: Part 1. Top 10 Reasons You Should NOT Join LinkedIn Professional Network!

    Science.gov (United States)

    Berk, Ronald A.

    2013-01-01

    Disclaimer: I have been an active "free" user of LinkedIn for 5.463 years with more than 3000 (1st degree) connections from all over the world. I have no vested interest in LinkedIn other than as a user of the services it provides. Despite the fact that LinkedIn was originally designed as a network for business professionals, not…

  10. Agent-based modeling and network dynamics

    CERN Document Server

    Namatame, Akira

    2016-01-01

    The book integrates agent-based modeling and network science. It is divided into three parts, namely, foundations, primary dynamics on and of social networks, and applications. The book begins with the network origin of agent-based models, known as cellular automata, and introduce a number of classic models, such as Schelling’s segregation model and Axelrod’s spatial game. The essence of the foundation part is the network-based agent-based models in which agents follow network-based decision rules. Under the influence of the substantial progress in network science in late 1990s, these models have been extended from using lattices into using small-world networks, scale-free networks, etc. The book also shows that the modern network science mainly driven by game-theorists and sociophysicists has inspired agent-based social scientists to develop alternative formation algorithms, known as agent-based social networks. The book reviews a number of pioneering and representative models in this family. Upon the gi...

  11. Awarding Credit for Outcomes-Based Professional Development.

    Science.gov (United States)

    Dickerson, Pamela S; Shinners, Jean; Chappell, Kathy

    2017-03-01

    The American Nurses Credentialing Center is embarking on a pilot project designed to award credit to RNs for achievement of outcomes-based professional development activities, regardless of time spent in the endeavor. This article explores the value of this approach in the current health care environment. J Contin Educ Nurs. 2017;48(3):97-98. Copyright 2017, SLACK Incorporated.

  12. Professionalism & Performance-based Contracting : Transparency, accountability or interference?

    NARCIS (Netherlands)

    Oomkens, R.F.

    2015-01-01

    Currently, there is an intense debate on the “marketization” of health care and its consequences for the work of professionals. With the introduction of performance-based contracting, health insurers in the Netherlands are now expected to transform from passive payers to prudent and critical

  13. Design-Based Research for Professional Learning for "Cultural Mathematics"

    Science.gov (United States)

    Kravia, Geori; Owens, Kay

    2014-01-01

    Design-based research is being used to develop and refine the principles used in professional learning workshops with teachers from three different Papua New Guinean ecologies: highlands, coastal, and inland in a coastal province. The appropriateness of the design of principles for Papua New Guinean Elementary Schools is tried over several phases…

  14. Healthcare professionals' intentions and behaviours: a systematic review of studies based on social cognitive theories

    National Research Council Canada - National Science Library

    Godin, Gaston; Bélanger-Gravel, Ariane; Eccles, Martin; Grimshaw, Jeremy

    2008-01-01

    ... interventions targeting healthcare professionals. The aim of this study was to systematically review the published scientific literature about factors influencing health professionals' behaviours based on social cognitive theories...

  15. Network Medicine: A Network-based Approach to Human Diseases

    Science.gov (United States)

    Ghiassian, Susan Dina

    With the availability of large-scale data, it is now possible to systematically study the underlying interaction maps of many complex systems in multiple disciplines. Statistical physics has a long and successful history in modeling and characterizing systems with a large number of interacting individuals. Indeed, numerous approaches that were first developed in the context of statistical physics, such as the notion of random walks and diffusion processes, have been applied successfully to study and characterize complex systems in the context of network science. Based on these tools, network science has made important contributions to our understanding of many real-world, self-organizing systems, for example in computer science, sociology and economics. Biological systems are no exception. Indeed, recent studies reflect the necessity of applying statistical and network-based approaches in order to understand complex biological systems, such as cells. In these approaches, a cell is viewed as a complex network consisting of interactions among cellular components, such as genes and proteins. Given the cellular network as a platform, machinery, functionality and failure of a cell can be studied with network-based approaches, a field known as systems biology. Here, we apply network-based approaches to explore human diseases and their associated genes within the cellular network. This dissertation is divided in three parts: (i) A systematic analysis of the connectivity patterns among disease proteins within the cellular network. The quantification of these patterns inspires the design of an algorithm which predicts a disease-specific subnetwork containing yet unknown disease associated proteins. (ii) We apply the introduced algorithm to explore the common underlying mechanism of many complex diseases. We detect a subnetwork from which inflammatory processes initiate and result in many autoimmune diseases. (iii) The last chapter of this dissertation describes the

  16. Network repair based on community structure

    Science.gov (United States)

    Wang, Tianyu; Zhang, Jun; Sun, Xiaoqian; Wandelt, Sebastian

    2017-06-01

    Real-world complex systems are often fragile under disruptions. Accordingly, research on network repair has been studied intensively. Recently proposed efficient strategies for network disruption, based on collective influence, call for more research on efficient network repair strategies. Existing strategies are often designed to repair networks with local information only. However, the absence of global information impedes the creation of efficient repairs. Motivated by this limitation, we propose a concept of community-level repair, which leverages the community structure of the network during the repair process. Moreover, we devise a general framework of network repair, with in total six instances. Evaluations on real-world and random networks show the effectiveness and efficiency of the community-level repair approaches, compared to local and random repairs. Our study contributes to a better understanding of repair processes, and reveals that exploitation of the community structure improves the repair process on a disrupted network significantly.

  17. Community Based Networks and 5G

    DEFF Research Database (Denmark)

    Williams, Idongesit

    2016-01-01

    is hinged on a research aimed at understanding how and why Community Based Networks deploy telecom and Broadband infrastructure. The study was a qualitative study carried out inductively using Grounded Theory. Six cases were investigated.Two Community Based Network Mobilization models were identified......The deployment of previous wireless standards has provided more benefits for urban dwellers than rural dwellers. 5G deployment may not be different. This paper identifies that Community Based Networks as carriers that deserve recognition as potential 5G providers may change this. The argument....... The findings indicate that 5G connectivity can be extended to rural areas by these networks, via heterogenous networks. Hence the delivery of 5G data rates delivery via Wireless WAN in rural areas can be achieved by utilizing the causal factors of the identified models for Community Based Networks....

  18. Who is the best player ever? A complex network analysis of the history of professional tennis.

    Directory of Open Access Journals (Sweden)

    Filippo Radicchi

    Full Text Available We considered all matches played by professional tennis players between 1968 and 2010, and, on the basis of this data set, constructed a directed and weighted network of contacts. The resulting graph showed complex features, typical of many real networked systems studied in literature. We developed a diffusion algorithm and applied it to the tennis contact network in order to rank professional players. Jimmy Connors was identified as the best player in the history of tennis according to our ranking procedure. We performed a complete analysis by determining the best players on specific playing surfaces as well as the best ones in each of the years covered by the data set. The results of our technique were compared to those of two other well established methods. In general, we observed that our ranking method performed better: it had a higher predictive power and did not require the arbitrary introduction of external criteria for the correct assessment of the quality of players. The present work provides novel evidence of the utility of tools and methods of network theory in real applications.

  19. Employment relations: A data driven analysis of job markets using online job boards and online professional networks

    CSIR Research Space (South Africa)

    Marivate, Vukosi N

    2017-08-01

    Full Text Available Data from online job boards and online professional networks present an opportunity to understand job markets as well as how professionals transition from one job/career to another. We propose a data driven approach to begin to understand a slice...

  20. The Importance of Networking in the Academic and Professional Experiences of Racial Minority Students in the USA

    Science.gov (United States)

    Davis, Dannielle Joy; Warfield, Markeba

    2011-01-01

    Through examination of the experiences of minority undergraduate doctoral aspirants in the United States, this study points to the importance of academic and professional influences of networking, as well as its role in the academic attainment and professional experiences of underrepresented groups in academe. The findings suggest that networking…

  1. Memristor-based neural networks

    Science.gov (United States)

    Thomas, Andy

    2013-03-01

    The synapse is a crucial element in biological neural networks, but a simple electronic equivalent has been absent. This complicates the development of hardware that imitates biological architectures in the nervous system. Now, the recent progress in the experimental realization of memristive devices has renewed interest in artificial neural networks. The resistance of a memristive system depends on its past states and exactly this functionality can be used to mimic the synaptic connections in a (human) brain. After a short introduction to memristors, we present and explain the relevant mechanisms in a biological neural network, such as long-term potentiation and spike time-dependent plasticity, and determine the minimal requirements for an artificial neural network. We review the implementations of these processes using basic electric circuits and more complex mechanisms that either imitate biological systems or could act as a model system for them.

  2. Professional conduct among registered nurses in the use of online social networking sites.

    Science.gov (United States)

    Levati, Sara

    2014-10-01

    To explore the use of Facebook by Registered Nurses (RNs) in Italy and the United Kingdom (UK), focusing on the disclosure of personal and professional information. The use of online social network sites among medical students and doctors is posing new ethical challenges to the profession. To date, little research has explored the use of online social networking sites among nurses. A cross-national survey. Data were assessed on 124 nurses' profile pages, readily available without viewing restrictions. Content analysis and inferential statistics were undertaken to describe usage and identify similarities and differences between the two country-groups of nurses. Data were collected between December 2011-January 2012. Overall, UK and Italian RNs showed a similar use of the online platform, tending to disclose personal pictures, home town and current home location, as well as updates and comments related to personal and work-related activities. A statistically significant higher proportion of nurses in Italy disclosed their sexual orientation. In both groups, a few cases were observed of potentially unprofessional content in relation to the use of alcohol, nudity and material of a salacious nature. Although most of the UK and Italy RNs appear to be aware of the risks posed by their online exposure, their online activity indicates the blurring of their personal and professional lives; this is posing new ethical, legal and professional challenges to members of the nursing profession. Further research and debate is encouraged at national and international level. © 2014 John Wiley & Sons Ltd.

  3. Burnout syndrome in professionals of the primary healthcare network in Aracaju, Brazil.

    Science.gov (United States)

    Silva, Salvyana Carla Palmeira Sarmento; Nunes, Marco Antonio Prado; Santana, Vanessa Rocha; Reis, Francisco Prado; Machado Neto, José; Lima, Sonia Oliveira

    2015-10-01

    The Burnout Syndrome (SB) stems from the chronic emotional stress experienced by the worker, characterized by emotional exhaustion, depersonalization and low personal accomplishment. May involve professionals whose work relates directly to the public. Aims to assess the prevalence of SB and associated factors in higher education professionals, linked to the Primary Care Network Health in the city of Aracaju / SE, who answered the sociodemographic questionnaire and the Maslach Inventory for Burnout. The average age was 44.9 years, most nurses, women, married with children and graduate. The prevalence of SB was 6.7% to 10.8%, associated factors were younger age, excessive hours of work and job dissatisfaction. There was no difference between the categories evaluated and the majority does not have the SB. However, 54.1% had a high and moderate risk of developing this syndrome, reflecting a process of illness that threatens the welfare of top-level professionals from the Primary Care Network Health Aracaju - SE. These findings point to the importance of adopting preventive and interventional measures as collateral for a better working environment.

  4. What is the veterinary professional identity? Preliminary findings from web-based continuing professional development in veterinary professionalism.

    Science.gov (United States)

    Armitage-Chan, E; Maddison, J; May, S A

    2016-03-26

    Professionalism and professional skills are increasingly being incorporated into veterinary curricula; however, lack of clarity in defining veterinary professionalism presents a potential challenge for directing course outcomes that are of benefit to the veterinary professional. An online continuing education course in veterinary professionalism was designed to address a deficit in postgraduate support in this area; as part of this course, delegates of varying practice backgrounds participated in online discussions reflecting on the implications of professional skills for their clinical practice. The discussions surrounding the role of the veterinary professional and reflecting on strengths and weaknesses in professional skills were analysed using narrative methodology, which provided an understanding of the defining skills and attributes of the veterinary professional, from the perspectives of those involved (i.e. how vets understood their own career identity). The veterinary surgeon was understood to be an interprofessional team member, who makes clinical decisions in the face of competing stakeholder needs and works in a complex environment comprising multiple and diverse challenges (stress, high emotions, financial issues, work-life balance). It was identified that strategies for accepting fallibility, and those necessary for establishing reasonable expectations of professional behaviour and clinical ability, are poorly developed. British Veterinary Association.

  5. Supporting Evidence Use in Networked Professional Learning: The Role of the Middle Leader

    Science.gov (United States)

    LaPointe-McEwan, Danielle; DeLuca, Christopher; Klinger, Don A.

    2017-01-01

    Background: In Canada, contemporary collaborative professional learning models for educators utilise multiple forms of evidence to inform practice. Commonly, two forms of evidence are prioritised: (a) research-based evidence and (b) classroom-based evidence of student learning. In Ontario, the integration of these two forms of evidence within…

  6. Developing a workable teacher identity: Building and negotiating identity within a professional network

    Science.gov (United States)

    Rostock, Roseanne

    The challenge of attracting and retaining the next generation of teachers who are skilled and committed to meeting the growing demands of the profession is of increasing concern to researchers and policy makers, particularly since 45--50% of beginning teachers leave the profession within five years (Ingersoll & Smith, 2003). Reasons for such attrition include compensation, status and working conditions; however, there is growing evidence that a critical factor in new teacher retention hinges on teachers' ability to accomplish the difficult task of forming a workable professional identity in the midst of competing discourses about teaching (Alsup, 2006; Britzman, 2003). There is little research on professional identity development among those beginning teachers at highest risk for attrition (secondary math and science teachers, and those with strong academic backgrounds). This study explores the professional identity development of early-career math and science teachers who are part of the Knowles Science Teaching Foundation's (KSTF) teaching fellowship program, an external support network that aims to address many of the issues leading to high attrition among this particular population of teachers. Using narrative research methods, I examine three case studies of beginning teachers, exploring how they construct professional identity in relation to various discourse communities and negotiate tensions across multiple discourses. The cases identify both dominant discourses and counter-discourses that the teachers draw upon for important identity development resources. They also demonstrate that the way a teacher manages tensions across competing discourses is important to how well one can negotiate a workable professional identity. In particular, they emphasize the importance of engaging in borderland discourses (Gee, 1996) as a way of taking agency in one's own identity development as well as in transforming one's discourse communities. These cases shed light on how

  7. A Collaborative Diagonal Learning Network: The role of formal and informal professional development in elementary science reform

    Science.gov (United States)

    Cooke-Nieves, Natasha Anika

    Science education research has consistently shown that elementary teachers have a low self-efficacy and background knowledge to teach science. When they teach science, there is a lack of field experiences and inquiry-based instruction at the elementary level due to limited resources, both material and pedagogical. This study focused on an analysis of a professional development (PD) model designed by the author known as the Collaborative Diagonal Learning Network (CDLN). The purpose of this study was to examine elementary school teacher participants pedagogical content knowledge related to their experiences in a CDLN model. The CDLN model taught formal and informal instruction using a science coach and an informal educational institution. Another purpose for this research included a theoretical analysis of the CDLN model to see if its design enabled teachers to expand their resource knowledge of available science education materials. The four-month-long study used qualitative data obtained during an in-service professional development program facilitated by a science coach and educators from a large natural history museum. Using case study as the research design, four elementary school teachers were asked to evaluate the effectiveness of their science coach and museum educator workshop sessions. During the duration of this study, semi-structured individual/group interviews and open-ended pre/post PD questionnaires were used. Other data sources included researcher field notes from lesson observations, museum field trips, audio-recorded workshop sessions, email correspondence, and teacher-created artifacts. The data were analyzed using a constructivist grounded theory approach. Themes that emerged included increased self-efficacy; increased pedagogical content knowledge; increased knowledge of museum education resources and access; creation of a professional learning community; and increased knowledge of science notebooking. Implications for formal and informal

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

    Directory of Open Access Journals (Sweden)

    Cleidson Nogueira Dias

    2014-12-01

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

  9. Developing Professionalism via Multisource Feedback in Team-Based Learning.

    Science.gov (United States)

    Emke, Amanda R; Cheng, Steven; Dufault, Carolyn; Cianciolo, Anna T; Musick, David; Richards, Boyd; Violato, Claudio

    2015-01-01

    CGEA 2015 CONFERENCE ABSTRACT (EDITED). A Novel Approach to Assessing Professionalism in Preclinical Medical Students Using Paired Self- and Peer Evaluations. Amanda R. Emke, Steven Cheng, and Carolyn Dufault. CONSTRUCT: This study sought to assess the professionalism of 2nd-year medical students in the context of team-based learning. Professionalism is an important attribute for physicians and a core competency throughout medical education. Preclinical training often focuses on individual knowledge acquisition with students working only indirectly with faculty assessors. As such, the assessment of professionalism in preclinical training continues to present challenges. We propose a novel approach to preclinical assessment of medical student professionalism to address these challenges. Second-year medical students completed self- and peer assessments of professionalism in two courses (Pediatrics and Renal/Genitourinary Diseases) following a series of team-based learning exercises. Assessments were composed of nearly identical 9-point rating scales. Correlational analysis and linear regression were used to examine the associations between self- and peer assessments and the effects of predictor variables. Four subgroups were formed based on deviation from the median ratings, and logistic regression was used to assess stability of subgroup membership over time. A missing data analysis was conducted to examine differences between average peer-assessment scores as a function of selective nonparticipation. There was a significant positive correlation (r = .62, p professionalism assessment within team-based learning, stand-alone and simultaneous peer and self-assessments are highly correlated within individuals across different courses. However, although self-assessment alone is a significant predictor of self-assessment made at the time of assessing one's peers, average peer assessment does not predict self-assessment. To explore this lack of predictive power, we

  10. Incorporating Collaborative, Interactive Experiences into a Technology-Facilitated Professional Learning Network for Pre-Service Science Teachers

    Science.gov (United States)

    Delaney, Seamus; Redman, Christine

    2014-01-01

    This paper describes the utilisation of a technology-facilitated professional learning network (PLN) for pre-service teachers, centred on chemical demonstrations. The network provided direct experiences designed to extend their pedagogical content knowledge on demonstrations in Chemistry teaching. It provided scaffolded opportunities to…

  11. Linking in with LinkedIn[R]: Three Exercises That Enhance Professional Social Networking and Career Building

    Science.gov (United States)

    Gerard, Joseph G.

    2012-01-01

    Getting students to network with one another can be one of the biggest challenges in college courses, despite being a highly important function of higher education. Networking can, in fact, lead to that first job or to professional advancement, and technology can improve the success of individual and institutional efforts. This article describes…

  12. Cilia-based transport networks

    Science.gov (United States)

    Bodenschatz, Eberhard

    Cerebrospinal fluid conveys many physiologically important signaling factors through the ventricular cavities of the brain. We investigated the transport of cerebrospinal fluid in the third ventricle of the mouse brain and discovered a highly organized pattern of cilia modules, which collectively give rise to a network of fluid flows that allows for precise transport within this ventricle. Our work suggests that ciliated epithelia can generate and maintain complex, spatiotemporally regulated flow networks. I shall also show results on how to assemble artificial cilia and cilia carpets. Supported by the BMBF MaxSynBio.

  13. Teachers' Experience from a School-Based Collaborative Teacher Professional Development Programme: Reported Impact on Professional Development

    Science.gov (United States)

    Svendsen, Bodil

    2016-01-01

    The aim of this study was to find out how science teachers who have participated in a one-year school-based collaborative teacher professional development programme, perceive the programme's impact on their professional development. Constant comparative analysis was used on data from three schools to generate the findings in this study. The…

  14. Supporting Professional Development in Special Education with Web-Based Professional Learning Communities: New Possibilities with Web 2.0

    Science.gov (United States)

    Hardman, Elizabeth L.

    2012-01-01

    This article describes the challenges in organizing professional learning communities (PLCs) in special education, identifies the teacher and student benefits of using a PLC approach to professional development, and discusses the promise and pitfalls of organizing web-based PLCs to engage distributed stakeholders in the practice of special…

  15. Cognitive Radio-based Home Area Networks

    NARCIS (Netherlands)

    Sarijari, M.A.B.

    2016-01-01

    A future home area network (HAN) is envisaged to consist of a large number of devices that support various applications such as smart grid, security and safety systems, voice call, and video streaming. Most of these home devices are communicating based on various wireless networking technologies

  16. Model-based control of networked systems

    CERN Document Server

    Garcia, Eloy; Montestruque, Luis A

    2014-01-01

    This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled.   The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates . It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control.   Key features and topics include: Time-triggered and event-triggered feedback updates Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback Optimal control analysis and ...

  17. Modeling the interdependent network based on two-mode networks

    Science.gov (United States)

    An, Feng; Gao, Xiangyun; Guan, Jianhe; Huang, Shupei; Liu, Qian

    2017-10-01

    Among heterogeneous networks, there exist obviously and closely interdependent linkages. Unlike existing research primarily focus on the theoretical research of physical interdependent network model. We propose a two-layer interdependent network model based on two-mode networks to explore the interdependent features in the reality. Specifically, we construct a two-layer interdependent loan network and develop several dependent features indices. The model is verified to enable us to capture the loan dependent features of listed companies based on loan behaviors and shared shareholders. Taking Chinese debit and credit market as case study, the main conclusions are: (1) only few listed companies shoulder the main capital transmission (20% listed companies occupy almost 70% dependent degree). (2) The control of these key listed companies will be more effective of avoiding the spreading of financial risks. (3) Identifying the companies with high betweenness centrality and controlling them could be helpful to monitor the financial risk spreading. (4) The capital transmission channel among Chinese financial listed companies and Chinese non-financial listed companies are relatively strong. However, under greater pressure of demand of capital transmission (70% edges failed), the transmission channel, which constructed by debit and credit behavior, will eventually collapse.

  18. Dynamics-based centrality for directed networks.

    Science.gov (United States)

    Masuda, Naoki; Kori, Hiroshi

    2010-11-01

    Determining the relative importance of nodes in directed networks is important in, for example, ranking websites, publications, and sports teams, and for understanding signal flows in systems biology. A prevailing centrality measure in this respect is the PageRank. In this work, we focus on another class of centrality derived from the Laplacian of the network. We extend the Laplacian-based centrality, which has mainly been applied to strongly connected networks, to the case of general directed networks such that we can quantitatively compare arbitrary nodes. Toward this end, we adopt the idea used in the PageRank to introduce global connectivity between all the pairs of nodes with a certain strength. Numerical simulations are carried out on some networks. We also offer interpretations of the Laplacian-based centrality for general directed networks in terms of various dynamical and structural properties of networks. Importantly, the Laplacian-based centrality defined as the stationary density of the continuous-time random walk with random jumps is shown to be equivalent to the absorption probability of the random walk with sinks at each node but without random jumps. Similarly, the proposed centrality represents the importance of nodes in dynamics on the original network supplied with sinks but not with random jumps.

  19. Cloud-based Networked Visual Servo Control

    DEFF Research Database (Denmark)

    Wu, Haiyan; Lu, Lei; Chen, Chih-Chung

    2013-01-01

    feedback, ii) a stabilizing control law for the networked visual servo control system with time-varying feedback time delay, and iii) a sending rate scheduling strategy aiming at reducing the communication network load. The performance of the networked visual servo control system with sending rate......The performance of vision-based control systems, in particular of highly dynamic vision-based motion control systems, is often limited by the low sampling rate of the visual feedback caused by the long image processing time. In order to overcome this problem, the networked visual servo control......, which integrates networked computational resources for cloud image processing, is considered in this article. The main contributions of this article are i) a real-time transport protocol for transmitting large volume image data on a cloud computing platform, which enables high sampling rate visual...

  20. Social Network and Health Researchers and Professionals Mobility in Africa: Lessons Learned from AFRICA BUILD Project.

    Science.gov (United States)

    Traore, S T; Anne, A; Khalifa, A; Bosomprah, S; Caroline, F; Cuzin-Kihl, A K; Ingelbeen, B; Ramirez-Robles, M; Sangare, M; Niang, M; Bagayoko, C O

    2015-01-01

    Promote mobility between South-South and South-North for improving level of researchers, staff and students through a platform. The methodology is based a filling of a questionnaire about offer or demand. Material is composed a computer connected Internet. we registered about 203 demands and 31 offers from partners.43 mobilities were executed completely. The results indicate a real need of mobility for researchers and health professionals in Africa. The important number of mobility demands made by external researchers and professionals (from outside the AFRICA BUILD Consortium) may be constrained by the difficulty to find adequate funding.

  1. Building a Network Based Laboratory Environment

    Directory of Open Access Journals (Sweden)

    Sea Shuan Luo

    2009-12-01

    Full Text Available This paper presents a comparative study about the development of a network based laboratory environment in the “Unix introduction” course for the undergraduate students. The study results and the response from the students from 2005 to 2006 will be used to better understand what kind of method is more suitable for students. We also use the data collected to adjust our teaching strategy and try to build up a network based laboratory environment.

  2. A facilitated peer mentoring program for junior faculty to promote professional development and peer networking.

    Science.gov (United States)

    Fleming, Geoffrey M; Simmons, Jill H; Xu, Meng; Gesell, Sabina B; Brown, Rebekah F; Cutrer, William B; Gigante, Joseph; Cooper, William O

    2015-06-01

    To explore the design, implementation, and efficacy of a faculty development program in a cohort of early career junior faculty. Interested junior faculty members were divided into interdisciplinary small groups led by senior faculty facilitators. The groups met monthly for 1.5 hours to review a modular curriculum from 2011 to 2013. Using a survey at two time points (September 2011 and 2013) and an interim program evaluation, the authors collected data on participants' demographics, faculty interconnectedness, and self-reported knowledge, skills, and attitudes (KSA) in the domains of professional development and scholarship, including the ability to write career goals and align activities with those goals. A total of 104 junior faculty participated in the program. They demonstrated changes in self-reported KSA in the domains of professional development (P = .013, P = .001) and scholarship (P = .038, P = .015) with an increase in ability to write career goals (P < .001), ability to align activities with those goals (P < .001), and number of and amount of time spent pursuing activities related to those goals (P = .022). These changes were more significant among female faculty and were not affected by academic rank or time since last training. Interconnectedness among faculty increased during the period of study-the number of nodes and ties between nodes within the network increased. This facilitated peer mentoring program for junior faculty was effective in improving the KSA necessary to promote early career advancement and peer networking, especially for women.

  3. Network-based Database Course

    DEFF Research Database (Denmark)

    Nielsen, J.N.; Knudsen, Morten; Nielsen, Jens Frederik Dalsgaard

    A course in database design and implementation has been de- signed, utilizing existing network facilities. The course is an elementary course for students of computer engineering. Its purpose is to give the students a theoretical database knowledge as well as practical experience with design...... and implementation. A tutorial relational database and the students self-designed databases are implemented on the UNIX system of Aalborg University, thus giving the teacher the possibility of live demonstrations in the lecture room, and the students the possibility of interactive learning in their working rooms...

  4. Guidelines for maintaining a professional compass in the era of social networking.

    Science.gov (United States)

    Landman, Matthew P; Shelton, Julia; Kauffmann, Rondi M; Dattilo, Jeffery B

    2010-01-01

    The use of social networking (SN) sites, such as Facebook and Twitter, has skyrocketed during the past 5 years, with more than 400 million current users. What was once isolated to high schools or college campuses has become increasingly ubiquitous in everyday life and across a multitude of industries. Medical centers and residency programs are not immune to this invasion. These sites present opportunities for the rapid dissemination of information from status updates, to tweets, to medical support groups, and even clinical communication between patients and providers. Although powerful, this technology also opens the door for misuse and policies for use will be necessary. We strive to begin a discourse in the surgical community in regard to maintaining professionalism while using SN sites. The use of SN sites among surgical house staff and faculty has not been addressed previously. To that end, we sought to ascertain the use of the SN site Facebook at our residency program. Of 88 residents and 127 faculty, 56 (64%) and 28 (22%), respectively, have pages on Facebook. Of these, 50% are publicly accessible. Thirty-one percent of the publicly accessible pages had work-related comments posted, and of these comments, 14% referenced specific patient situations or were related to patient care. Given the widespread use of SN websites in our surgical community and in society as a whole, every effort should be made to guard against professional truancy. We offer a set of guidelines consistent with the Accreditation Council for Graduate Medical Education and the American College of Surgeons professionalism mandates in regard to usage of these websites. By acknowledging this need and by following these guidelines, surgeons will continue to define and uphold ethical boundaries and thus demonstrate a commitment to patient privacy and the highest levels of professionalism. Copyright © 2010 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  5. Guidelines for Maintaining a Professional Compass in the Era of Social Networking

    Science.gov (United States)

    Landman, Matthew P.; Shelton, Julia; Kauffmann, Rondi M.; Dattilo, Jeffery B.

    2014-01-01

    Objectives The use of social networking (SN) sites such as Facebook and Twitter has skyrocketed over the past 5 years, with over 400 million current users. What was once isolated to high schools or college campuses has become increasingly ubiquitous in everyday life and across a multitude of industries. Medical centers and residency programs are not immune to this invasion. These sites present opportunities for the rapid dissemination of information from status updates to tweets to medical support groups and even clinical communication between patients and providers. While powerful, this technology also opens the door for misuse and policies for use will be necessary. We strive to begin a discourse in the surgical community regarding maintaining professionalism while using SN sites. Results The use of SN sites among surgical housestaff and faculty has not previously been addressed. To that end, we sought to ascertain the use of the SN site Facebook at our residency program. Of 88 residents and 127 faculty, 56 (64%) and 28 (22%) respectively have pages on Facebook. Of these, 50% are publicly accessible. Thirty-one percent of the publicly accessible pages had work –related comments posted, and of these comments, 14% referenced specific patient situations or were related to patient care. Conclusions Given the widespread use of SN sites in our surgical community and in society as a whole, every effort should be made to guard against professional truancy. We offer a set a guidelines consistent with the ACGME and ACS professionalism mandates regarding usage of these sites. By acknowledging this need and following these guidelines, surgeons will continue to define and uphold ethical boundaries and thus demonstrate a commitment to patient privacy and the highest levels of professionalism. PMID:21156295

  6. Promoting faculty professionalism: a case-based approach

    OpenAIRE

    Dieter, Patricia M.; Hudak, Nicholas M; Robinson, Peggy R.

    2015-01-01

    Introduction Professionalism is a key attribute for health professionals. Yet, it is unknown how much faculty development is directed toward skills and behaviours of faculty professionalism. Faculty professionalism includes boundaries in teacher-student relationships, self-reflection, assuring one?s own fitness for duty, and maintaining confidentiality when appropriate. Methods For five years, we have incorporated faculty professionalism as a routine agenda item for the monthly Physician Assi...

  7. PID Controller Based on Memristive CMAC Network

    Directory of Open Access Journals (Sweden)

    Lidan Wang

    2013-01-01

    Full Text Available Compound controller which consists of CMAC network and PID network is mainly used in control system, especially in robot control. It can realize nonlinear tracking control of the real-time dynamic trajectory and possesses good approximation effect. According to the structure and principle of the compound controller, memristor is introduced to CMAC network to be a compound controller in this paper. The new PID controller based on memristive CMAC network is built up by replacing the synapse in the original controller by memristors. The effect of curve approximation is obtained by MATLAB simulation experiments. This network improves the response and learning speed of the system and processes better robustness and antidisturbance performance.

  8. Network based sky Brightness Monitor

    Science.gov (United States)

    McKenna, Dan; Pulvermacher, R.; Davis, D. R.

    2009-01-01

    We have developed and are currently testing an autonomous 2 channel photometer designed to measure the night sky brightness in the visual wavelengths over a multi-year campaign. The photometer uses a robust silicon sensor filtered with Hoya CM500 glass. The Sky brightness is measured every minute at two elevation angles typically zenith and 20 degrees to monitor brightness and transparency. The Sky Brightness monitor consists of two units, the remote photometer and a network interface. Currently these devices use 2.4 Ghz transceivers with a free space range of 100 meters. The remote unit is battery powered with day time recharging using a solar panel. Data received by the network interface transmits data via standard POP Email protocol. A second version is under development for radio sensitive areas using an optical fiber for data transmission. We will present the current comparison with the National Park Service sky monitoring camera. We will also discuss the calibration methods used for standardization and temperature compensation. This system is expected to be deployed in the next year and be operated by the International Dark Sky Association SKYMONITOR project.

  9. The evidence base for professional and self-care prevention

    DEFF Research Database (Denmark)

    Twetman, Svante

    2015-01-01

    BACKGROUND: The aim of this conference paper was to examine the evidence base for primary and secondary prevention of dental caries, erosions and dentin hypersensitivity through professional and self-care measures. METHODS: A mapping of systematic reviews (SR) of literature was carried out in Pub...... and preventive dentistry that must be addressed and bridged through clinical research of good quality....... review articles of potential interest. Meta-analyses, guidelines and treatment recommendations were considered only when SR's were lacking. In the event of updates or multiple systematic reviews covering the same topic, only the most recent article was included. No quality assessment of the systematic...

  10. Internships as case-based learning for professional practice

    DEFF Research Database (Denmark)

    Piihl, Jesper; Rasmussen, Jens Smed; Rowley, Jennifer

    2014-01-01

    Internship programs can enhance generic learning outcomes by develop-ing students’ ability to interact with stakeholders in real world complexi-ties and contribute to changes in knowledge and practice. Experience from Denmark and Australia is used as background to show how intern-ship programs can...... be designed to integrate differences in conceptions of knowledge in professional practices and pressures from short deadlines. The chapter explores how internship can enhance students’ learning and how students develop their role as academics-in-practice. Internships qualify as case based learning when...... the design of the program focuses on generic learning outcomes over specific solutions to specific problems in the specific context....

  11. Hierarchies and cliques in the social networks of health care professionals: implications for the design of dissemination strategies.

    Science.gov (United States)

    West, E; Barron, D N; Dowsett, J; Newton, J N

    1999-03-01

    Interest in how best to influence the behaviour of clinicians in the interests of both clinical and cost effectiveness has rekindled concern with the social networks of health care professionals. Ever since the seminal work of Coleman et al. [Coleman, J.S., Katz, E., Menzel, H., 1966. Medical Innovation: A Diffusion Study. Bobbs-Merrill, Indianapolis.], networks have been seen as important in the process by which clinicians adopt (or fail to adopt) new innovations in clinical practice. Yet very little is actually known about the social networks of clinicians in modern health care settings. This paper describes the professional social networks of two groups of health care professionals, clinical directors of medicine and directors of nursing, in hospitals in England. We focus on network density, centrality and centralisation because these characteristics have been linked to access to information, social influence and social control processes. The results show that directors of nursing are more central to their networks than clinical directors of medicine and that their networks are more hierarchical. Clinical directors of medicine tend to be embedded in much more densely connected networks which we describe as cliques. The hypotheses that the networks of directors of nursing are better adapted to gathering and disseminating information than clinical directors of medicine, but that the latter could be more potent instruments for changing, or resisting changes, in clinical behaviour, follow from a number of sociological theories. We conclude that professional socialisation and structural location are important determinants of social networks and that these factors could usefully be considered in the design of strategies to inform and influence clinicians.

  12. Examination of social networking professionalism among dental and dental hygiene students.

    Science.gov (United States)

    Henry, Rachel K; Molnar, Amy L

    2013-11-01

    Becoming a dental professional requires one to apply ethical decision making skills and demonstrate high standards of professionalism in practice, including the way professionals present themselves to the public. With social media as an evergrowing part of personal and professional communications, this study aimed to determine the accessibility, amount, and type of unprofessional content on Facebook profiles of dental hygiene and dental students in a college of dentistry. The authors evaluated the online profiles of all 499 dental and dental hygiene students at The Ohio State University using objective measures that included existence of a profile, current privacy settings, and access to personally identifiable information. A sample of profiles were evaluated for unprofessional content including photos, comments, and wall posts. The majority of these students were found to use Facebook, with 61 percent having Facebook profiles. Dental hygiene students were more likely to have a Facebook profile than were dental students: 72.6 percent and 59.1 percent, respectively (p=0.027). The majority of the students' profiles had some form of privacy setting enabled, with only 4 percent being entirely open to the public. Fewer than 2 percent of the students allowed non-friends access to personal information. Based on in-depth analysis of the profiles, fourteen (5.8 percent) instances of unprofessionalism were recorded; the most common unprofessional content involved substance abuse. This study found that these dental and dental hygiene students frequently possessed an identifiable Facebook account and nearly half had some kind of personal information on their profile that could potentially be shared with the public. In some instances, the students gave patients, faculty, and potential employers access to content that is not reflective of a dental professional. Academic institutions should consider implementing policies that bring awareness to and address the use of social media

  13. SDL-based network performance simulation

    Science.gov (United States)

    Yang, Yang; Lu, Yang; Lin, Xiaokang

    2005-11-01

    Specification and description language (SDL) is an object-oriented formal language defined as a standard by ITU-T. Though SDL is mainly used in describing communication protocols, it is an efficient way to simulate the network performance with SDL tools according to our experience. This paper presents our methodology of SDL-based network performance simulation in such aspects as the simulation platform, the simulation modes and the integrated simulation environment. Note that Telelogic Tau 4.3 SDL suite is used here as the simulation environment though our methodology isn't limited to the software. Finally the SDL-based open shortest path first (OSPF) performance simulation in the wireless private network is illustrated as an example of our methodology, which indicates that SDL is indeed an efficient language in the area of the network performance simulation.

  14. Toward Measuring Network Aesthetics Based on Symmetry

    Directory of Open Access Journals (Sweden)

    Zengqiang Chen

    2017-05-01

    Full Text Available In this exploratory paper, we discuss quantitative graph-theoretical measures of network aesthetics. Related work in this area has typically focused on geometrical features (e.g., line crossings or edge bendiness of drawings or visual representations of graphs which purportedly affect an observer’s perception. Here we take a very different approach, abandoning reliance on geometrical properties, and apply information-theoretic measures to abstract graphs and networks directly (rather than to their visual representaions as a means of capturing classical appreciation of structural symmetry. Examples are used solely to motivate the approach to measurement, and to elucidate our symmetry-based mathematical theory of network aesthetics.

  15. The virtual international day of the midwife: social networking for continuing professional development.

    Science.gov (United States)

    Stewart, Sarah; Sidebotham, Mary; Davis, Deborah

    2012-09-01

    In order to maintain competence to practice, midwives must become lifelong learners and engage in education and CPD activities. The Virtual International Day of the Midwife event (VIDM) is a free online annual synchronous conference that uses social networking tools to bring midwives together to network, share research and practice information. This paper presents the evaluation based on the 2010 and 2011 events. Participants appreciated the opportunity to be able to network with colleagues in an international context, believed the event provided access to quality material and presenters, and valued the accessibility and availability of the event and resources. Participants suggested that the event could be improved by making the program more accessible, with sessions spread over several days, as opposed to 24 hours; providing information about appropriate netiquette and extensive advertising. Further research is required to investigate how social networking and initiatives such as the VIDM impact on practice in the long term. Copyright © 2012 Elsevier Ltd. All rights reserved.

  16. Exploring perceptions of healthcare professionals in the implementation of a new professional role of clinical telehealth coordinator within a university integrated healthcare network.

    Science.gov (United States)

    Payette, Carine; Desrochers, Johanne; Lavoie-Tremblay, Mélanie; Richer, Marie-Claire

    2010-06-01

    As telehealth networks develop across Canada, new professional roles start to emerge. A university healthcare center part of an integrated health network has identified the need to introduce a clinical coordinator for specialized telehealth programs. However, very little is found in the current literature about the description or core competencies that such a professional should possess as well as the ways to implement this role. The objective of this study was to explore how healthcare professionals (HCPs) involved in a specialized teleoncology program perceive a new clinical telehealth coordinator (CTC) role within a university integrated healthcare network (UIHN) in a metropolitan area in Québec, Canada. A descriptive qualitative design was used and a purposive sample of nine HCPs, including physicians, nurses, and pharmacists who were members of a UIHN teleoncology committee, was recruited. The HCPs identified that the CTC was a multifaceted role. The core competencies identified by the HCPs included knowledge, expertise, and experience. Participants identified three key factors in the implementation of this role, namely, the structural support, having a common language, and making the implementation of this role relevant. The results suggest that this CTC role may be more complex than originally expected and that the diverse competencies suggest an expanded nature to this role. This has important implications for administrative strategies when addressing the key factors in the implementation of this role.

  17. Professionalism and social networking: can patients, physicians, nurses, and supervisors all be "friends?".

    Science.gov (United States)

    Peluchette, Joy; Karl, Katherine; Coustasse, Alberto; Emmett, Dennis

    2012-01-01

    The purpose of this study was to examine the use of social networking (Facebook) among nurse anesthetists. We examined whether they would have concerns about their supervisor, patients, or physicians seeing their Facebook profile. We also examined their attitudes related to maintaining professional boundaries with regard to the initiation or receipt of Facebook "friend" requests from their supervisor, patients, or physicians they work with. Our respondents consisted of 103 nurses currently enrolled in a graduate-level nurse anesthetist program. All respondents had a minimum of 2 years of work experience in critical care nursing. Most respondents were found to be neutral about physicians and supervisors viewing their Facebook profiles but expressed concerns about patients seeing such information. A vast majority indicated they would accept a friend request from their supervisor and a physician but not a patient. Surprisingly, about 40% had initiated a friend request to their supervisor or physician they work with. Implications for health care managers are discussed.

  18. Explore the Human-Based Teaching for the Professional Course of Materials Science and Engineering

    Science.gov (United States)

    Zhao, Yiping; Chen, Li; Zhang, Yufeng

    2008-01-01

    As viewed from two sides such as teacher and student, in this article, we explore the human-based teaching reform for the college professional course of materials Science and Engineering, point out the qualities and conditions that professional teacher should possess in the process of human-based teaching reform of professional course and the…

  19. Should diabetes be commissioned through multidisciplinary networks, rather than Practice Based Commissioning?

    Science.gov (United States)

    Simmons, David; English, Patrick; Robins, Peter; Craig, Andrew; Addicott, Rachael

    2011-04-01

    Diabetes is recognized as a complex, long term, largely asymptomatic condition requiring self management skills, a range of health care professionals and articulated health services. Diabetes Networks have been introduced to provide guidance from people with diabetes and local health professionals with different skills to ensure that diabetes care is well organized, sustainable and delivers quality care. We have considered the role of Diabetes Networks in the English setting. Drawing on studies of health service organization and health policy, we describe the context in which diabetes commissioning is currently occurring in England, the role of Diabetes Networks and key components for an effective Diabetes Network. We have identified that Diabetes Networks are not currently mandatory and discovered policy approaches that are likely to work against safe, timely, integrated approaches to diabetes services with potentially harmful impacts on people with diabetes in the future. Practice Based Commissioning, where it sidelines Diabetes Networks, is a particular concern. We have identified key components of Diabetes Networks including explicit frameworks for leadership, membership, funding, decision making, communication and action. Diabetes is a condition requiring collaboration between all involved. Diabetes Networks include patients and all relevant health professionals and should dictate what and how diabetes care should be commissioned within the local health economy. Copyright © 2010 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.

  20. Designing Curriculum-Based Mathematics Professional Development for Kindergarten Teachers

    Science.gov (United States)

    Polly, Drew; Martin, Christie S.; McGee, Jennifer R.; Wang, Chuang; Lambert, Richard G.; Pugalee, David K.

    2017-01-01

    This study examines the influence of a year-long mathematics professional development program on Kindergarten teachers' beliefs, content knowledge, instructional practices, and their students' achievement. The professional development program is grounded in the theoretical construct of learner-centered professional development and focuses on…

  1. Designing Network-based Business Model Ontology

    DEFF Research Database (Denmark)

    Hashemi Nekoo, Ali Reza; Ashourizadeh, Shayegheh; Zarei, Behrouz

    2015-01-01

    Survival on dynamic environment is not achieved without a map. Scanning and monitoring of the market show business models as a fruitful tool. But scholars believe that old-fashioned business models are dead; as they are not included the effect of internet and network in themselves. This paper...... is going to propose e-business model ontology from the network point of view and its application in real world. The suggested ontology for network-based businesses is composed of individuals` characteristics and what kind of resources they own. also, their connections and pre-conceptions of connections...... such as shared-mental model and trust. However, it mostly covers previous business model elements. To confirm the applicability of this ontology, it has been implemented in business angel network and showed how it works....

  2. The professional portfolio: an evidence-based assessment method.

    Science.gov (United States)

    Byrne, Michelle; Schroeter, Kathryn; Carter, Shannon; Mower, Julie

    2009-12-01

    Competency assessment is critical for a myriad of disciplines, including medicine, law, education, and nursing. Many nurse managers and educators are responsible for nursing competency assessment, and assessment results are often used for annual reviews, promotions, and satisfying accrediting agencies' requirements. Credentialing bodies continually seek methods to measure and document the continuing competence of licensees or certificants. Many methods and frameworks for continued competency assessment exist. The portfolio process is one method to validate personal and professional accomplishments in an interactive, multidimensional manner. This article illustrates how portfolios can be used to assess competence. One specialty nursing certification board's process of creating an evidence-based portfolio for recertification or reactivation of a credential is used as an example. The theoretical background, development process, implementation, and future implications may serve as a template for other organizations in developing their own portfolio models. Copyright 2009, SLACK Incorporated.

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

    Science.gov (United States)

    Corlew, L. K.; Keener, V. W.; Finucane, M.

    2013-12-01

    The Pacific Regional Integrated Sciences and Assessments (Pacific RISA) Program conducted social network analysis research of climate change professionals (broadly defined) who are from or work in Hawaii and the U.S.-Affiliated Pacific Islands (USAPI) region. This study is supported by the National Oceanic and Atmospheric Administration (NOAA) and the Pacific Islands Climate Science Center (PICSC) to address an identified need for a resource that quantifies the region's collaborative network of climate change professionals, and that supports the further development of cross-regional and inter-sectoral collaborations for future research and adaptation activities. A survey was distributed to nearly 1,200 people who are from and/or work in climate change related fields in the region. The Part One Survey questions (not confidential) created a preferential attachment network by listing major players in Hawaii and the USAPI, with additional open fields to identify important contacts in the greater professional network. Participants (n=340) identified 975 network contacts and frequency of communications (weekly, monthly, seasonally, yearly, at least once ever). Part Two Survey questions (confidential, n=302) explored climate change risk perceptions, Psychological Sense of Community (PSOC), sense of control over climate change impacts, sense of responsibility to act, policy beliefs and preferences regarding climate change actions, concern and optimism scales about specific impacts, and demographic information. Graphical representations of the professional network are being developed for release in September 2013 as a free online tool to promote and assist collaboration building among climate professionals in the region. The graphs are partitioned according to network 'hubs' (high centrality), participant location, and profession to clearly identify network strengths and opportunities for future collaborations across spatial and professional boundaries. For additional

  4. Overlapping Community Detection based on Network Decomposition

    Science.gov (United States)

    Ding, Zhuanlian; Zhang, Xingyi; Sun, Dengdi; Luo, Bin

    2016-04-01

    Community detection in complex network has become a vital step to understand the structure and dynamics of networks in various fields. However, traditional node clustering and relatively new proposed link clustering methods have inherent drawbacks to discover overlapping communities. Node clustering is inadequate to capture the pervasive overlaps, while link clustering is often criticized due to the high computational cost and ambiguous definition of communities. So, overlapping community detection is still a formidable challenge. In this work, we propose a new overlapping community detection algorithm based on network decomposition, called NDOCD. Specifically, NDOCD iteratively splits the network by removing all links in derived link communities, which are identified by utilizing node clustering technique. The network decomposition contributes to reducing the computation time and noise link elimination conduces to improving the quality of obtained communities. Besides, we employ node clustering technique rather than link similarity measure to discover link communities, thus NDOCD avoids an ambiguous definition of community and becomes less time-consuming. We test our approach on both synthetic and real-world networks. Results demonstrate the superior performance of our approach both in computation time and accuracy compared to state-of-the-art algorithms.

  5. Understanding the Construction of Personal Learning Networks to Support Non-Formal Workplace Learning of Training Professionals

    Science.gov (United States)

    Manning, Christin

    2013-01-01

    Workers in the 21st century workplace are faced with rapid and constant developments that place a heavy demand on them to continually learn beyond what the Human Resources and Training groups can meet. As a consequence, professionals must rely on non-formal learning approaches through the development of a personal learning network to keep…

  6. Location-based Forwarding in Vehicular Networks

    NARCIS (Netherlands)

    Klein Wolterink, W.

    2013-01-01

    In this thesis we focus on location-based message forwarding in vehicular networks to support intelligent transportation systems (ITSs). ITSs are transport systems that utilise information and communication technologies to increase their level of automation, in this way levering the performance of

  7. WIRELESS SENSOR NETWORK BASED CONVEYOR SURVEILLANCE SYSTEM

    OpenAIRE

    Attila Trohák; Máté Kolozsi-Tóth; Péter Rádi

    2011-01-01

    In the paper we will introduce an intelligent conveyor surveillance system. We started a research project to design and develop a conveyor surveillance system based on wireless sensor network and GPRS communication. Our system is able to measure temperature on fixed and moving, rotating surfaces and able to detect smoke. We would like to introduce the developed devices and give an application example.

  8. SAR ATR Based on Convolutional Neural Network

    Directory of Open Access Journals (Sweden)

    Tian Zhuangzhuang

    2016-06-01

    Full Text Available This study presents a new method of Synthetic Aperture Radar (SAR image target recognition based on a convolutional neural network. First, we introduce a class separability measure into the cost function to improve this network’s ability to distinguish between categories. Then, we extract SAR image features using the improved convolutional neural network and classify these features using a support vector machine. Experimental results using moving and stationary target acquisition and recognition SAR datasets prove the validity of this method.

  9. Network Based High Speed Product Innovation

    DEFF Research Database (Denmark)

    Lindgren, Peter

    In the first decade of the 21st century, New Product Development has undergone major changes in the way NPD is managed and organised. This is due to changes in technology, market demands, and in the competencies of companies. As a result NPD organised in different forms of networks is predicted...... to be of ever-increasing importance to many different kinds of companies. This happens at the same times as the share of new products of total turnover and earnings is increasing at unprecedented speed in many firms and industries. The latter results in the need for very fast innovation and product development...... - a need that can almost only be resolved by organising NPD in some form of network configuration. The work of Peter Lindgren is on several aspects of network based high speed product innovation and contributes to a descriptive understanding of this phenomenon as well as with normative theory on how NPD...

  10. Hydrogel networks based on ABA triblock copolymers.

    Science.gov (United States)

    Tartivel, Lucile; Behl, Marc; Schroeter, Michael; Lendlein, Andreas

    2012-01-01

    Triblock copolymers from hydrophilic oligo(ethylene glycol) segment A and oligo(propylene glycol) segment B, providing an ABA structure (OEG-OPG-OEG triblock), are known to be biocompatible and are used as self-solidifying gels in drug depots. A complete removal of these depots would be helpful in cases of undesired side effects of a drug, but this remains a challenge as they liquefy below their transition temperature. Therefore we describe the synthesis of covalently cross-linked hydrogel networks. Triblock copolymer-based hydrogels were created by irradiating aqueous solutions of the corresponding macro-dimethacrylates with UV light. The degree of swelling, swelling kinetics, mechanical properties and morphology of the networks were investigated. Depending on precursor concentration, equilibrium degree of swelling of the films ranged between 500% and 880% and was reached in 1 hour. In addition, values for storage and loss moduli of the hydrogel networks were in the 100 Pa to 10 kPa range. Although OEG-OPG-OEG triblocks are known for their micellization, which could hamper polymer network formation, reactive OEG-OPG-OEG triblock oligomers could be successfully polymerized into hydrogel networks. The degree of swelling of these hydrogels depends on their molecular weight and on the oligomer concentration used for hydrogel preparation. In combination with the temperature sensitivity of the ABA triblock copolymers, it is assumed that such hydrogels might be beneficial for future medical applications - e.g., removable drug release systems.

  11. Dynamic social networks based on movement

    Science.gov (United States)

    Scharf, Henry; Hooten, Mevin B.; Fosdick, Bailey K.; Johnson, Devin S.; London, Joshua M.; Durban, John W.

    2016-01-01

    Network modeling techniques provide a means for quantifying social structure in populations of individuals. Data used to define social connectivity are often expensive to collect and based on case-specific, ad hoc criteria. Moreover, in applications involving animal social networks, collection of these data is often opportunistic and can be invasive. Frequently, the social network of interest for a given population is closely related to the way individuals move. Thus, telemetry data, which are minimally invasive and relatively inexpensive to collect, present an alternative source of information. We develop a framework for using telemetry data to infer social relationships among animals. To achieve this, we propose a Bayesian hierarchical model with an underlying dynamic social network controlling movement of individuals via two mechanisms: an attractive effect and an aligning effect. We demonstrate the model and its ability to accurately identify complex social behavior in simulation, and apply our model to telemetry data arising from killer whales. Using auxiliary information about the study population, we investigate model validity and find the inferred dynamic social network is consistent with killer whale ecology and expert knowledge.

  12. Skillrank: Towards a Hybrid Method to Assess Quality and Confidence of Professional Skills in Social Networks

    OpenAIRE

    Jose María Álvarez-Rodríguez; Ricardo Colomo-Palacios; Vladimir Stantchev

    2015-01-01

    The present paper introduces a hybrid technique to measure the expertise of users by analyzing their profiles and activities in social networks. Currently, both job seekers and talent hunters are looking for new and innovative techniques to filter jobs and candidates where candidates are trying to improve and make their profiles more attractive. In this sense, the Skillrank approach is based on the conjunction of existing and well-known information and expertise retrieval techniques that perf...

  13. Community structure of complex networks based on continuous neural network

    Science.gov (United States)

    Dai, Ting-ting; Shan, Chang-ji; Dong, Yan-shou

    2017-09-01

    As a new subject, the research of complex networks has attracted the attention of researchers from different disciplines. Community structure is one of the key structures of complex networks, so it is a very important task to analyze the community structure of complex networks accurately. In this paper, we study the problem of extracting the community structure of complex networks, and propose a continuous neural network (CNN) algorithm. It is proved that for any given initial value, the continuous neural network algorithm converges to the eigenvector of the maximum eigenvalue of the network modularity matrix. Therefore, according to the stability of the evolution of the network symbol will be able to get two community structure.

  14. Quantitative learning strategies based on word networks

    Science.gov (United States)

    Zhao, Yue-Tian-Yi; Jia, Zi-Yang; Tang, Yong; Xiong, Jason Jie; Zhang, Yi-Cheng

    2018-02-01

    Learning English requires a considerable effort, but the way that vocabulary is introduced in textbooks is not optimized for learning efficiency. With the increasing population of English learners, learning process optimization will have significant impact and improvement towards English learning and teaching. The recent developments of big data analysis and complex network science provide additional opportunities to design and further investigate the strategies in English learning. In this paper, quantitative English learning strategies based on word network and word usage information are proposed. The strategies integrate the words frequency with topological structural information. By analyzing the influence of connected learned words, the learning weights for the unlearned words and dynamically updating of the network are studied and analyzed. The results suggest that quantitative strategies significantly improve learning efficiency while maintaining effectiveness. Especially, the optimized-weight-first strategy and segmented strategies outperform other strategies. The results provide opportunities for researchers and practitioners to reconsider the way of English teaching and designing vocabularies quantitatively by balancing the efficiency and learning costs based on the word network.

  15. Modeling acquaintance networks based on balance theory

    Directory of Open Access Journals (Sweden)

    Vukašinović Vida

    2014-09-01

    Full Text Available An acquaintance network is a social structure made up of a set of actors and the ties between them. These ties change dynamically as a consequence of incessant interactions between the actors. In this paper we introduce a social network model called the Interaction-Based (IB model that involves well-known sociological principles. The connections between the actors and the strength of the connections are influenced by the continuous positive and negative interactions between the actors and, vice versa, the future interactions are more likely to happen between the actors that are connected with stronger ties. The model is also inspired by the social behavior of animal species, particularly that of ants in their colony. A model evaluation showed that the IB model turned out to be sparse. The model has a small diameter and an average path length that grows in proportion to the logarithm of the number of vertices. The clustering coefficient is relatively high, and its value stabilizes in larger networks. The degree distributions are slightly right-skewed. In the mature phase of the IB model, i.e., when the number of edges does not change significantly, most of the network properties do not change significantly either. The IB model was found to be the best of all the compared models in simulating the e-mail URV (University Rovira i Virgili of Tarragona network because the properties of the IB model more closely matched those of the e-mail URV network than the other models

  16. Increasing dentists' capacity for secondary prevention of eating disorders: identification of training, network, and professional contingencies.

    Science.gov (United States)

    Debate, Rita Digioacchino; Tedesco, Lisa A

    2006-10-01

    The incidence of eating disorders has increased substantially over the last forty years. Primary care physicians and dentists share a parallel challenge for secondary prevention of anorexia nervosa and bulimia nervosa. The dentist, in particular, has a uniquely important and valuable role with respect to assessment of oral and physical manifestations, patient communication, referral, case management, and restorative care. Despite this crucial role, few dentists are engaged in eating disorder-specific secondary prevention. The purpose of this study was to explore beliefs, attitudes, and experiences of general dentists regarding eating disorder-specific secondary prevention behaviors using focus group methodology. Three ninety-minute focus groups were conducted with twenty-one general dentists (seventeen male, four female) recruited from the 2004 Academy of General Dentistry Leadership Conference. Data from the focus groups were analyzed to identify two over-arching themes and associated subthemes with regard to supports and barriers to eating disorder-specific secondary prevention practices. Analysis of data revealed that training, network, and dental professional contingencies emerged as places of influence for increasing capacity among dentists with regard to secondary prevention of eating disorders. This exploratory assessment identifies leverage points where strategic interventions including curriculum development, policies, and practices can be developed to support and sustain secondary preventive clinical behaviors among dentists.

  17. Burden, professional support, and social network in families of children and young adults with muscular dystrophies.

    Science.gov (United States)

    Magliano, Lorenza; Patalano, Melania; Sagliocchi, Alessandra; Scutifero, Marianna; Zaccaro, Antonella; D'angelo, Maria Grazia; Civati, Federica; Brighina, Erika; Vita, Giuseppe; Vita, Gian Luca; Messina, Sonia; Sframeli, Maria; Pane, Marika; Lombardo, Maria Elena; Scalise, Roberta; D'amico, Adele; Colia, Giulia; Catteruccia, Michela; Balottin, Umberto; Berardinelli, Angela; Chiara Motta, Maria; Angelini, Corrado; Gaiani, Alessandra; Semplicini, Claudio; Bello, Luca; Battini, Roberta; Astrea, Guja; Politano, Luisa

    2015-07-01

    This study explores burden and social and professional support in families of young patients with muscular dystrophies (MDs) in Italy. The study was carried out on 502 key relatives of 4- to 25-year-old patients suffering from Duchenne, Becker, or Limb-Girdle MD who were living with at least 1 adult relative. A total of 77.1% of relatives reported feelings of loss, 74.0% had feelings of sadness, and 59.1% had constraints in leisure activities. Burden was higher among relatives of patients with higher disability and who spent more daily hours in caregiving. Practical difficulties were higher among relatives who perceived lower help in patient emergencies and less practical support by their social network. Psychological burden was higher in those relatives who were unemployed, those with poorer support in emergencies, and those with lower social contacts. Caring for patients with MDs may be demanding for relatives even in the early stages of these disorders, especially when social support is poor and the patient's disability increases. © 2014 The Authors. Muscle & Nerve Published by Wiley Periodicals, Inc.

  18. Telepresence teacher professional development for physics and math constructs focused on US and Thai classrooms' TC-1 slinky seismometer networks

    Science.gov (United States)

    Livelybrooks, D.; Parris, B. A.; Cook, A.; Kant, M.; Wogan, N.; Zeryck, A.; Tulyatid, D.; Toomey, D. R.

    2015-12-01

    As part of the Broader Impacts of the Cascadia Initiative, a seismic study of the Cascadia margin, and the Magnetotelluric Observations of Cascadia using a Huge Array (MOCHA) collaboration we have developed school- and museum/library-based networks of TC-1 educational seismometers. The TC-1 is constructed such that its 'guts' are visible through an transparent acrylic outer cylinder, thus it is an excellent demonstration of how fundamental physics constructs can be leveraged to design and operate a vertical-channel seismometer capable of recording signals from large earthquakes world-wide. TC-1 (aka 'slinky seismometer') networks therefore serve as the application for projects-based learning (PBL) physics and data science instruction in Oregon and Thai classrooms. The TC-1 acts as a simple harmonic oscillator, employing electromagnetic induction of a moving magnet within a wire coil. Movement of the lower magnet within an electrically conductive pipe dampens motion such that P-, S- and Surface wave phases can be identified. Further, jAmaSeis software can be configured to simultaneously show live signals from three TC-1s and has tools necessary to pick phases for earthquake signals and, thus, locate earthquake epicenters. Leveraging a long-standing collaboration between the Royal Thai Distance Learning Foundation and the University of Oregon, we developed five, 2-hour, two-way teacher professional development sessions that were transmitted live to Thai K-12 teachers and others starting mid-August, 2015. As an example, one session emphasized hands-on activities to analyze the effect of spring stiffness, inertial mass and initial displacement on the resonance frequency of a simple oscillator. Another pedagogical goal was to elucidate how math is important to understanding the analysis of seismic data, for example, how cross-correlation is useful for distinguishing between genuine earthquake signals and, say, a truck rolling by a TC-1 station. UO graduate and

  19. Developing professional competence by internet-based reflection

    Directory of Open Access Journals (Sweden)

    Marianne Aars

    2008-11-01

    Full Text Available This article aims at giving an example of how practical, clinical knowledge can be explored by the use of a tailor-made Information and Communication Technology (ICT-tool: Physio-Net. In constructing content to this particular internet- based resource used for bachelor students at Tromsø University College, a clinician expert physiotherapist contributed with a detailed analysis of her own practice and its underpinning rationale, displayed by film and text simultaneously. The clinician was interviewed about how the work had affected later practice and why, and her experiences are discussed in terms of reflective practice. Internalised ways of thinking and acting were changed; she became more aware of the importance of taking the patient’s perspective, of the interaction in the situation, and made more careful conclusions in the clinical reasoning process. Time, observation, writing and guidance were important clues to this learning process and outcome. It is concluded that looking into one’s own practice amongst “critical friends”, mediated in a transparent mode as the Internet tool provides, constitutes a valuable learning potential for the individual and might contribute towards making professional practice more open and easier to discuss and develop.

  20. Network-based recommendation algorithms: A review

    Science.gov (United States)

    Yu, Fei; Zeng, An; Gillard, Sébastien; Medo, Matúš

    2016-06-01

    Recommender systems are a vital tool that helps us to overcome the information overload problem. They are being used by most e-commerce web sites and attract the interest of a broad scientific community. A recommender system uses data on users' past preferences to choose new items that might be appreciated by a given individual user. While many approaches to recommendation exist, the approach based on a network representation of the input data has gained considerable attention in the past. We review here a broad range of network-based recommendation algorithms and for the first time compare their performance on three distinct real datasets. We present recommendation topics that go beyond the mere question of which algorithm to use-such as the possible influence of recommendation on the evolution of systems that use it-and finally discuss open research directions and challenges.

  1. Research on Network Scanning Strategy Based on Information Granularity

    Science.gov (United States)

    Qin, Futong; Shi, Pengfei; Du, Jing; Cheng, Ruosi; Zhou, Yunyan

    2017-10-01

    As the basic mean to obtain the information of the targets network, network scanning is often used to discover the security risks and vulnerabilities existing on the network. However, with the development of network technology, the scale of network is more and more large, and the network scanning efficiency put forward higher requirements. In this paper, the concept of network scanning information granularity is proposed, and the design method of network scanning strategy based on information granularity is proposed. Based on single information granularity and hybrid information granularity, four network scanning strategies were designed and verified experimentally. Experiments show that the network scanning strategies based on hybrid information granularity can improve the efficiency of network scanning.

  2. Wireless Sensor Network Based Smart Parking System

    Directory of Open Access Journals (Sweden)

    Jeffrey JOSEPH

    2014-01-01

    Full Text Available Ambient Intelligence is a vision in which various devices come together and process information from multiple sources in order to exert control on the physical environment. In addition to computation and control, communication plays a crucial role in the overall functionality of such a system. Wireless Sensor Networks are one such class of networks, which meet these criteria. These networks consist of spatially distributed sensor motes which work in a co-operative manner to sense and control the environment. In this work, an implementation of an energy-efficient and cost-effective, wireless sensor networks based vehicle parking system for a multi-floor indoor parking facility has been introduced. The system monitors the availability of free parking slots and guides the vehicle to the nearest free slot. The amount of time the vehicle has been parked is monitored for billing purposes. The status of the motes (dead/alive is also recorded. Information like slot allocated, directions to the slot and billing data is sent as a message to customer’s mobile phones. This paper extends our previous work 1 with the development of a low cost sensor mote, about one tenth the cost of a commercially available mote, keeping in mind the price sensitive markets of the developing countries.

  3. Dynamics of hate based Internet user networks

    Science.gov (United States)

    Sobkowicz, P.; Sobkowicz, A.

    2010-02-01

    We present a study of the properties of network of political discussions on one of the most popular Polish Internet forums. This provides the opportunity to study the computer mediated human interactions in strongly bipolar environment. The comments of the participants are found to be mostly disagreements, with strong percentage of invective and provocative ones. Binary exchanges (quarrels) play significant role in the network growth and topology. Statistical analysis shows that the growth of the discussions depends on the degree of controversy of the subject and the intensity of personal conflict between the participants. This is in contrast to most previously studied social networks, for example networks of scientific citations, where the nature of the links is much more positive and based on similarity and collaboration rather than opposition and abuse. The work discusses also the implications of the findings for more general studies of consensus formation, where our observations of increased conflict contradict the usual assumptions that interactions between people lead to averaging of opinions and agreement.

  4. Community detection based on network communicability

    Science.gov (United States)

    Estrada, Ernesto

    2011-03-01

    We propose a new method for detecting communities based on the concept of communicability between nodes in a complex network. This method, designated as N-ComBa K-means, uses a normalized version of the adjacency matrix to build the communicability matrix and then applies K-means clustering to find the communities in a graph. We analyze how this method performs for some pathological cases found in the analysis of the detection limit of communities and propose some possible solutions on the basis of the analysis of the ratio of local to global densities in graphs. We use four different quality criteria for detecting the best clustering and compare the new approach with the Girvan-Newman algorithm for the analysis of two "classical" networks: karate club and bottlenose dolphins. Finally, we analyze the more challenging case of homogeneous networks with community structure, for which the Girvan-Newman completely fails in detecting any clustering. The N-ComBa K-means approach performs very well in these situations and we applied it to detect the community structure in an international trade network of miscellaneous manufactures of metal having these characteristics. Some final remarks about the general philosophy of community detection are also discussed.

  5. Community detection based on network communicability.

    Science.gov (United States)

    Estrada, Ernesto

    2011-03-01

    We propose a new method for detecting communities based on the concept of communicability between nodes in a complex network. This method, designated as N-ComBa K-means, uses a normalized version of the adjacency matrix to build the communicability matrix and then applies K-means clustering to find the communities in a graph. We analyze how this method performs for some pathological cases found in the analysis of the detection limit of communities and propose some possible solutions on the basis of the analysis of the ratio of local to global densities in graphs. We use four different quality criteria for detecting the best clustering and compare the new approach with the Girvan-Newman algorithm for the analysis of two "classical" networks: karate club and bottlenose dolphins. Finally, we analyze the more challenging case of homogeneous networks with community structure, for which the Girvan-Newman completely fails in detecting any clustering. The N-ComBa K-means approach performs very well in these situations and we applied it to detect the community structure in an international trade network of miscellaneous manufactures of metal having these characteristics. Some final remarks about the general philosophy of community detection are also discussed.

  6. The Significance of Kinship for Medical Education: Reflections on the Use of a Bespoke Social Network to Support Learners' Professional Identities.

    Science.gov (United States)

    Hatzipanagos, Stylianos; John, Bernadette; Chiu, Yuan-Li Tiffany

    2016-03-03

    Social media can support and sustain communities much better than previous generations of learning technologies, where institutional barriers undermined any initiatives for embedding formal and informal learning. Some of the many types of social media have already had an impact on student learning, based on empirical evidence. One of these, social networking, has the potential to support communication in formal and informal spaces. In this paper we report on the evaluation of an institutional social network-King's Social Harmonisation Project (KINSHIP)-established to foster an improved sense of community, enhance communication, and serve as a space to model digital professionalism for students at King's College London, United Kingdom. Our evaluation focused on a study that examined students' needs and perceptions with regard to the provision of a cross-university platform. Data were collected from students, including those in the field of health and social care, in order to recommend a practical way forward to address current needs in this area. The findings indicate that the majority of the respondents were positive about using a social networking platform to develop their professional voice and profiles. Results suggest that timely promotion of the platform, emphasis on interface and learning design, and a clear identity are required in order to gain acceptance as the institutional social networking site. Empirical findings in this study project an advantage of an institutional social network such a KINSHIP over other social networks (eg, Facebook) because access is limited to staff and students and the site is mainly being used for academic purposes.

  7. Research of ad hoc network based on SINCGARS network

    Science.gov (United States)

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

    2016-03-01

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

  8. Real-time network traffic classification technique for wireless local area networks based on compressed sensing

    Science.gov (United States)

    Balouchestani, Mohammadreza

    2017-05-01

    Network traffic or data traffic in a Wireless Local Area Network (WLAN) is the amount of network packets moving across a wireless network from each wireless node to another wireless node, which provide the load of sampling in a wireless network. WLAN's Network traffic is the main component for network traffic measurement, network traffic control and simulation. Traffic classification technique is an essential tool for improving the Quality of Service (QoS) in different wireless networks in the complex applications such as local area networks, wireless local area networks, wireless personal area networks, wireless metropolitan area networks, and wide area networks. Network traffic classification is also an essential component in the products for QoS control in different wireless network systems and applications. Classifying network traffic in a WLAN allows to see what kinds of traffic we have in each part of the network, organize the various kinds of network traffic in each path into different classes in each path, and generate network traffic matrix in order to Identify and organize network traffic which is an important key for improving the QoS feature. To achieve effective network traffic classification, Real-time Network Traffic Classification (RNTC) algorithm for WLANs based on Compressed Sensing (CS) is presented in this paper. The fundamental goal of this algorithm is to solve difficult wireless network management problems. The proposed architecture allows reducing False Detection Rate (FDR) to 25% and Packet Delay (PD) to 15 %. The proposed architecture is also increased 10 % accuracy of wireless transmission, which provides a good background for establishing high quality wireless local area networks.

  9. Receiver Based Traffic Control Mechanism to Protect Low Capacity Network in Infrastructure Based Wireless Mesh Network

    Science.gov (United States)

    Gilani, Syed Sherjeel Ahmad; Zubair, Muhammad; Khan, Zeeshan Shafi

    Infrastructure-based Wireless Mesh Networks are emerging as an affordable, robust, flexible and scalable technology. With the advent of Wireless Mesh Networks (WMNs) the dream of connecting multiple technology based networks seems to come true. A fully secure WMN is still a challenge for the researchers. In infrastructure-based WMNs almost all types of existing Wireless Networks like Wi-Fi, Cellular, WiMAX, and Sensor etc can be connected through Wireless Mesh Routers (WMRs). This situation can lead to a security problem. Some nodes can be part of the network with high processing power, large memory and least energy issues while others may belong to a network having low processing power, small memory and serious energy limitations. The later type of the nodes is very much vulnerable to targeted attacks. In our research we have suggested to set some rules on the WMR to mitigate these kinds of targeted flooding attacks. The WMR will then share those set of rules with other WMRs for Effective Utilization of Resources.

  10. Collision of two communities: Developing higher education student teachers’ creativity in design through a social networking collaboration with professional designers

    OpenAIRE

    Abdullah, Zaleha

    2011-01-01

    This study examines the activity of an online community in developing design creativity. This involved undergraduate Malaysian university students and their tutor from the School of Education, and professional designers in a private online community using the social network site - Facebook - to improve interface design (websites or interactive courseware). Two research processes adapted from different communities - the creative industries and the higher education communities - were applied in...

  11. Virtualized Network Function Orchestration System and Experimental Network Based QR Recognition for a 5G Mobile Access Network

    Directory of Open Access Journals (Sweden)

    Misun Ahn

    2017-12-01

    Full Text Available This paper proposes a virtualized network function orchestration system based on Network Function Virtualization (NFV, one of the main technologies in 5G mobile networks. This system should provide connectivity between network devices and be able to create flexible network function and distribution. This system focuses more on access networks. By experimenting with various scenarios of user service established and activated in a network, we examine whether rapid adoption of new service is possible and whether network resources can be managed efficiently. The proposed method is based on Bluetooth transfer technology and mesh networking to provide automatic connections between network machines and on a Docker flat form, which is a container virtualization technology for setting and managing key functions. Additionally, the system includes a clustering and recovery measure regarding network function based on the Docker platform. We will briefly introduce the QR code perceived service as a user service to examine the proposal and based on this given service, we evaluate the function of the proposal and present analysis. Through the proposed approach, container relocation has been implemented according to a network device’s CPU usage and we confirm successful service through function evaluation on a real test bed. We estimate QR code recognition speed as the amount of network equipment is gradually increased, improving user service and confirm that the speed of recognition is increased as the assigned number of network devices is increased by the user service.

  12. Optimising TCP for cloud-based mobile networks

    DEFF Research Database (Denmark)

    Artuso, Matteo; Christiansen, Henrik Lehrmann

    2016-01-01

    Cloud-based mobile networks are foreseen to be a technological enabler for the next generation of mobile networks. Their design requires substantial research as they pose unique challenges, especially from the point of view of additional delays in the fronthaul network. Commonly used network prot...

  13. New Professionalism Challenges in Medical Training: An Exploration of Social Networking

    Science.gov (United States)

    Kesselheim, Jennifer C.; Batra, Maneesh; Belmonte, Frank; Boland, Kimberly A.; McGregor, Robert S.

    2014-01-01

    Background Innovative online technology can enhance the practice of medicine, yet it also may be a forum for unprofessional behavior. Objective We surveyed program directors regarding their perceptions and experiences with residents' use of social networking sites (SNS). Methods In September 2011, we sent an online survey to program directors and associate program directors of pediatrics residency programs within the United States who are members of the Association of Pediatric Program Directors. Results A total of 162 program directors or associate program directors (representing 50% of residency programs) responded to the survey. One-third of respondents are “very familiar” with SNS and 23% use them “daily or often.” Most respondents (70%) rated “friending” peers as “completely appropriate,” whereas only 1% of respondents rated “friending” current or past patients as “completely appropriate.” More than one half of respondents believe inappropriate behavior on SNS is “somewhat” or “very” prevalent, and 91% are “somewhat” or “very” concerned that the prevalence of inappropriate behavior on SNS may increase. The most commonly reported problematic online activity was posting inappropriate comments about the workplace. Posting of inappropriate comments about self, patients, and staff also was observed. Residency programs commonly educate trainees about SNS during intern orientation (45%), or using written guidelines (29%) and ad hoc remediation (16%). Conclusions As educators teach trainees principles of online professionalism, appropriate use of SNS needs to be included in the training process. Curricular efforts may be hindered by some program directors' lack of familiarity with SNS. PMID:24701318

  14. Network-based analysis of proteomic profiles

    KAUST Repository

    Wong, Limsoon

    2016-01-26

    Mass spectrometry (MS)-based proteomics is a widely used and powerful tool for profiling systems-wide protein expression changes. It can be applied for various purposes, e.g. biomarker discovery in diseases and study of drug responses. Although RNA-based high-throughput methods have been useful in providing glimpses into the underlying molecular processes, the evidences they provide are indirect. Furthermore, RNA and corresponding protein levels have been known to have poor correlation. On the other hand, MS-based proteomics tend to have consistency issues (poor reproducibility and inter-sample agreement) and coverage issues (inability to detect the entire proteome) that need to be urgently addressed. In this talk, I will discuss how these issues can be addressed by proteomic profile analysis techniques that use biological networks (especially protein complexes) as the biological context. In particular, I will describe several techniques that we have been developing for network-based analysis of proteomics profile. And I will present evidence that these techniques are useful in identifying proteomics-profile analysis results that are more consistent, more reproducible, and more biologically coherent, and that these techniques allow expansion of the detected proteome to uncover and/or discover novel proteins.

  15. Implementation and Outcomes of a Collaborative Multi-Center Network Aimed at Web-Based Cognitive Training – COGWEB Network

    Science.gov (United States)

    Pais, Joana; Ruano, Luis; Mateus, Cátia; Colunas, Márcio; Alves, Ivânia; Barreto, Rui; Conde, Eduardo; Sousa, Andreia; Araújo, Isabel; Bento, Virgílio; Coutinho, Paula; Rocha, Nelson

    2014-01-01

    Background Cognitive care for the most prevalent neurologic and psychiatric conditions will only improve through the implementation of new sustainable approaches. Innovative cognitive training methodologies and collaborative professional networks are necessary evolutions in the mental health sector. Objective The objective of the study was to describe the implementation process and early outcomes of a nationwide multi-organizational network supported on a Web-based cognitive training system (COGWEB). Methods The setting for network implementation was the Portuguese mental health system and the hospital-, academic-, community-based institutions and professionals providing cognitive training. The network started in August 2012, with 16 centers, and was monitored until September 2013 (inclusions were open). After onsite training, all were allowed to use COGWEB in their clinical or research activities. For supervision and maintenance were implemented newsletters, questionnaires, visits and webinars. The following outcomes were prospectively measured: (1) number, (2) type, (3) time to start, and (4) activity state of centers; age, gender, level of education, and medical diagnosis of patients enrolled. Results The network included 68 professionals from 41 centers, (33/41) 80% clinical, (8/41) 19% nonclinical. A total of 298 patients received cognitive training; 45.3% (n=135) female, mean age 54.4 years (SD 18.7), mean educational level 9.8 years (SD 4.8). The number enrolled each month increased significantly (r=0.6; P=.031). At 12 months, 205 remained on treatment. The major causes of cognitive impairment were: (1) neurodegenerative (115/298, 38.6%), (2) structural brain lesions (63/298, 21.1%), (3) autoimmune (40/298, 13.4%), (4) schizophrenia (30/298, 10.1%), and (5) others (50/298, 16.8%). The comparison of the patient profiles, promoter versus all other clinical centers, showed significant increases in the diversity of causes and spectrums of ages and education

  16. Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges

    OpenAIRE

    Zhang, H.; Liu, N.; Chu, X; Long, K.; Aghvami, A.; Leung, V. C. M.

    2017-01-01

    The fifth-generation (5G) networks are expected to be able to satisfy users' different quality-of-service (QoS) requirements. Network slicing is a promising technology for 5G networks to provide services tailored for users' specific QoS demands. Driven by the increased massive wireless data traffic from different application scenarios, efficient resource allocation schemes should be exploited to improve the flexibility of network resource allocation and capacity of 5G networks based on networ...

  17. A Case-based Approach to Professional Development: A Comparison of Traditional and Distance Education Formats.

    Science.gov (United States)

    Carlson, Helen L.; Karp, Joan M.

    2000-01-01

    Describes a study that compared two formats, traditional and distance education, for a case analysis/case writing model in a graduate course in professional development. Discusses media theory; media attributes of realism, interactivity and feedback, and interface; knowledge acquisition; skill development; confidentiality; and networking.…

  18. QoS-based management of biomedical wireless sensor networks for patient monitoring.

    Science.gov (United States)

    Abreu, Carlos; Miranda, Francisco; Ricardo, Manuel; Mendes, Paulo Mateus

    2014-01-01

    Biomedical wireless sensor networks are a key technology to support the development of new applications and services targeting patient monitoring, in particular, regarding data collection for medical diagnosis and continuous health assessment. However, due to the critical nature of medical applications, such networks have to satisfy demanding quality of service requirements, while guaranteeing high levels of confidence and reliability. Such goals are influenced by several factors, where the network topology, the limited throughput, and the characteristics and dynamics of the surrounding environment are of major importance. Harsh environments, as hospital facilities, can compromise the radio frequency communications and, consequently, the network's ability to provide the quality of service required by medical applications. Furthermore, the impact of such environments on the network's performance is hard to manage due to its random and unpredictable nature. Consequently, network planning and management, in general or step-down hospital units, is a very hard task. In such context, this work presents a quality of service based management tool to help healthcare professionals supervising the network's performance and to assist them managing the admission of new sensor nodes (i.e., patients to be monitored) to the biomedical wireless sensor network. The proposed solution proves to be a valuable tool both, to detect and classify potential harmful variations in the quality of service provided by the network, avoiding its degradation to levels where the biomedical signs would be useless; and to manage the admission of new patients to the network.

  19. The Significance of Kinship for Medical Education: Reflections on the Use of a Bespoke Social Network to Support Learners’ Professional Identities

    Science.gov (United States)

    2016-01-01

    Background Social media can support and sustain communities much better than previous generations of learning technologies, where institutional barriers undermined any initiatives for embedding formal and informal learning. Some of the many types of social media have already had an impact on student learning, based on empirical evidence. One of these, social networking, has the potential to support communication in formal and informal spaces. Objective In this paper we report on the evaluation of an institutional social network—King's Social Harmonisation Project (KINSHIP)—established to foster an improved sense of community, enhance communication, and serve as a space to model digital professionalism for students at King’s College London, United Kingdom. Methods Our evaluation focused on a study that examined students’ needs and perceptions with regard to the provision of a cross-university platform. Data were collected from students, including those in the field of health and social care, in order to recommend a practical way forward to address current needs in this area. Results The findings indicate that the majority of the respondents were positive about using a social networking platform to develop their professional voice and profiles. Results suggest that timely promotion of the platform, emphasis on interface and learning design, and a clear identity are required in order to gain acceptance as the institutional social networking site. Conclusions Empirical findings in this study project an advantage of an institutional social network such a KINSHIP over other social networks (eg, Facebook) because access is limited to staff and students and the site is mainly being used for academic purposes. PMID:27731848

  20. Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks

    DEFF Research Database (Denmark)

    Jiang, Jiuchuan; Jaeger, Manfred

    2014-01-01

    . In this paper we propose to use relational Bayesian networks for the specification of probabilistic network models, and develop inference techniques that solve the community detection problem based on these models. The use of relational Bayesian networks as a flexible high-level modeling framework enables us......Many techniques have been proposed for community detection in social networks. Most of these techniques are only designed for networks defined by a single relation. However, many real networks are multiplex networks that contain multiple types of relations and different attributes on the nodes...

  1. Dynamic Object Identification with SOM-based neural networks

    Directory of Open Access Journals (Sweden)

    Aleksey Averkin

    2014-03-01

    Full Text Available In this article a number of neural networks based on self-organizing maps, that can be successfully used for dynamic object identification, is described. Unique SOM-based modular neural networks with vector quantized associative memory and recurrent self-organizing maps as modules are presented. The structured algorithms of learning and operation of such SOM-based neural networks are described in details, also some experimental results and comparison with some other neural networks are given.

  2. Teachers Negotiating Professional Agency through Literature-Based Assessment

    Science.gov (United States)

    Simpson, Alyson

    2017-01-01

    Research reports teachers around the world currently face major challenges to their professional agency. They face numerous pressures from accountability measures operating in the highly politicised field of literacy education and standardised testing. At the same time international research encourages teachers to design rich assessment tasks…

  3. Becoming professionally qualified: The school-based mentoring ...

    African Journals Online (AJOL)

    This paper reports on a study which explored the mentoring experiences of professionally unqualified practicing teachers enrolled in a part-time Post Graduate Certificate in Education (PGCE) programme at the University of KwaZulu-Natal. The study sought to understand the mentoring experiences these students received ...

  4. Ontology-Based Empirical Knowledge Verification for Professional Virtual Community

    Science.gov (United States)

    Chen, Yuh-Jen

    2011-01-01

    A professional virtual community provides an interactive platform for enterprise experts to create and share their empirical knowledge cooperatively, and the platform contains a tremendous amount of hidden empirical knowledge that knowledge experts have preserved in the discussion process. Therefore, enterprise knowledge management highly…

  5. Network-based automation for SMEs

    DEFF Research Database (Denmark)

    Parizi, Mohammad Shahabeddini; Radziwon, Agnieszka

    2017-01-01

    could be obtained through network interaction. Based on two extreme cases of SMEs representing low-tech industry and an in-depth analysis of their manufacturing facilities this paper presents how collaboration between firms embedded in a regional ecosystem could result in implementation of new...... automation solutions. The empirical data collection involved application of a combination of comparative case study method with action research elements. This article provides an outlook over the challenges in implementing technological improvements and the way how it could be resolved in collaboration......, this paper develops and discusses a set of guidelines for systematic productivity improvement within an innovative collaboration in regards to automation processes in SMEs....

  6. WEB BASED LEARNING OF COMPUTER NETWORK COURSE

    Directory of Open Access Journals (Sweden)

    Hakan KAPTAN

    2004-04-01

    Full Text Available As a result of developing on Internet and computer fields, web based education becomes one of the area that many improving and research studies are done. In this study, web based education materials have been explained for multimedia animation and simulation aided Computer Networks course in Technical Education Faculties. Course content is formed by use of university course books, web based education materials and technology web pages of companies. Course content is formed by texts, pictures and figures to increase motivation of students and facilities of learning some topics are supported by animations. Furthermore to help working principles of routing algorithms and congestion control algorithms simulators are constructed in order to interactive learning

  7. The challenges of cross-cultural research and teaching in family medicine: How can professional networks help?

    Directory of Open Access Journals (Sweden)

    Amanda Caroline Howe

    2016-05-01

    Full Text Available Modern medical training emphasizes the value of understanding the patient’s ideas, concerns and expectations, and the use of their personal perspective to assist communication, diagnosis, and uptake of all appropriate health and treatment options. This requires doctors to be ‘culturally sensitive’, which “… involves an awareness and acceptance of cultural differences, self-awareness, knowledge of a patient’s culture, and adaptation of skills”. Yet most of us work in one country, and often one community, for much of our professional careers. Those who enter into academic pursuits will similarly be constrained by our own backgrounds and experiences, even though universities and medical schools often attract a multicultural membership. We therefore rely on our professional training and networks to extend our scope and understanding of how cultural issues impact upon our research and its relevance to our discipline and curricula. This article uses a reflexive narrative approach to examine the role and value of international networks through the lens of one individual and one organisation. It explores the extent to which such networks assist cross cultural sensitivity, using examples from its networks, and how these can (and have impacted on greater cross-culturalism in our teaching and research outputs.

  8. CUFID-query: accurate network querying through random walk based network flow estimation.

    Science.gov (United States)

    Jeong, Hyundoo; Qian, Xiaoning; Yoon, Byung-Jun

    2017-12-28

    Functional modules in biological networks consist of numerous biomolecules and their complicated interactions. Recent studies have shown that biomolecules in a functional module tend to have similar interaction patterns and that such modules are often conserved across biological networks of different species. As a result, such conserved functional modules can be identified through comparative analysis of biological networks. In this work, we propose a novel network querying algorithm based on the CUFID (Comparative network analysis Using the steady-state network Flow to IDentify orthologous proteins) framework combined with an efficient seed-and-extension approach. The proposed algorithm, CUFID-query, can accurately detect conserved functional modules as small subnetworks in the target network that are expected to perform similar functions to the given query functional module. The CUFID framework was recently developed for probabilistic pairwise global comparison of biological networks, and it has been applied to pairwise global network alignment, where the framework was shown to yield accurate network alignment results. In the proposed CUFID-query algorithm, we adopt the CUFID framework and extend it for local network alignment, specifically to solve network querying problems. First, in the seed selection phase, the proposed method utilizes the CUFID framework to compare the query and the target networks and to predict the probabilistic node-to-node correspondence between the networks. Next, the algorithm selects and greedily extends the seed in the target network by iteratively adding nodes that have frequent interactions with other nodes in the seed network, in a way that the conductance of the extended network is maximally reduced. Finally, CUFID-query removes irrelevant nodes from the querying results based on the personalized PageRank vector for the induced network that includes the fully extended network and its neighboring nodes. Through extensive

  9. The implementation of a standards based heterogeneous network

    Energy Technology Data Exchange (ETDEWEB)

    Eldridge, J.M.; Tolendino, L.F.

    1991-08-05

    Computer networks, supporting an organization's activities, are prevalent and very important to the organization's mission. Implementing a heterogenous organizational network allows the staff to select the computing environment that best supports their job requirements. This paper outlines the lessons learned implementing a heterogenous computer network based on networking standards such as TCP/IP and Ethernet. Such a network is a viable alternative to a proprietary, vendor supported network and can provide all the functionality customers expect in a computer network. 2 figs.

  10. Networking activities in technology-based entrepreneurial teams

    DEFF Research Database (Denmark)

    Neergaard, Helle

    2005-01-01

    Based on social network theoy, this article investigates the distribution of networking roles and responsibilities in entrepreneurial founding teams. Its focus is on the team as a collection of individuals, thus allowing the research to address differences in networking patterns. It identifies six...... central networking activities and shows that not all founding team members are equally active 'networkers'. The analyses show that team members prioritize different networking activities and that one member in particular has extensive networking activities whereas other memebrs of the team are more...

  11. Artificial neural networks in knee injury risk evaluation among professional football players

    Science.gov (United States)

    Martyna, Michałowska; Tomasz, Walczak; Krzysztof, Grabski Jakub; Monika, Grygorowicz

    2018-01-01

    Lower limb injury risk assessment was proposed, based on isokinetic examination that is a part of standard athlete's biomechanical evaluation performed mainly twice a year. Information about non-contact knee injury (or lack of the injury) sustained within twelve months after isokinetic test, confirmed in USG were verified. Three the most common types of football injuries were taken into consideration: anterior cruciate ligament (ACL) rupture, hamstring and quadriceps muscles injuries. 22 parameters, obtained from isokinetic tests were divided into 4 groups and used as input parameters of five feedforward artificial neural networks (ANNs). The 5th group consisted of all considered parameters. The networks were trained with the use of Levenberg-Marquardt backpropagation algorithm to return value close to 1 for the sets of parameters corresponding injury event and close to 0 for parameters with no injury recorded within 6 - 12 months after isokinetic test. Results of this study shows that ANN might be useful tools, which simplify process of simultaneous interpretation of many numerical parameters, but the most important factor that significantly influence the results is database used for ANN training.

  12. UPM: unified policy-based network management

    Science.gov (United States)

    Law, Eddie; Saxena, Achint

    2001-07-01

    Besides providing network management to the Internet, it has become essential to offer different Quality of Service (QoS) to users. Policy-based management provides control on network routers to achieve this goal. The Internet Engineering Task Force (IETF) has proposed a two-tier architecture whose implementation is based on the Common Open Policy Service (COPS) protocol and Lightweight Directory Access Protocol (LDAP). However, there are several limitations to this design such as scalability and cross-vendor hardware compatibility. To address these issues, we present a functionally enhanced multi-tier policy management architecture design in this paper. Several extensions are introduced thereby adding flexibility and scalability. In particular, an intermediate entity between the policy server and policy rule database called the Policy Enforcement Agent (PEA) is introduced. By keeping internal data in a common format, using a standard protocol, and by interpreting and translating request and decision messages from multi-vendor hardware, this agent allows a dynamic Unified Information Model throughout the architecture. We have tailor-made this unique information system to save policy rules in the directory server and allow executions of policy rules with dynamic addition of new equipment during run-time.

  13. Paper-based Synthetic Gene Networks

    Science.gov (United States)

    Pardee, Keith; Green, Alexander A.; Ferrante, Tom; Cameron, D. Ewen; DaleyKeyser, Ajay; Yin, Peng; Collins, James J.

    2014-01-01

    Synthetic gene networks have wide-ranging uses in reprogramming and rewiring organisms. To date, there has not been a way to harness the vast potential of these networks beyond the constraints of a laboratory or in vivo environment. Here, we present an in vitro paper-based platform that provides a new venue for synthetic biologists to operate, and a much-needed medium for the safe deployment of engineered gene circuits beyond the lab. Commercially available cell-free systems are freeze-dried onto paper, enabling the inexpensive, sterile and abiotic distribution of synthetic biology-based technologies for the clinic, global health, industry, research and education. For field use, we create circuits with colorimetric outputs for detection by eye, and fabricate a low-cost, electronic optical interface. We demonstrate this technology with small molecule and RNA actuation of genetic switches, rapid prototyping of complex gene circuits, and programmable in vitro diagnostics, including glucose sensors and strain-specific Ebola virus sensors. PMID:25417167

  14. Resilient Disaster Network Based on Software Defined Cognitive Wireless Network Technology

    Directory of Open Access Journals (Sweden)

    Goshi Sato

    2015-01-01

    Full Text Available In order to temporally recover the information network infrastructure in disaster areas from the Great East Japan Earthquake in 2011, various wireless network technologies such as satellite IP network, 3G, and Wi-Fi were effectively used. However, since those wireless networks are individually introduced and installed but not totally integrated, some of networks were congested due to the sudden network traffic generation and unbalanced traffic distribution, and eventually the total network could not effectively function. In this paper, we propose a disaster resilient network which integrates various wireless networks into a cognitive wireless network that users can use as an access network to the Internet at the serious disaster occurrence. We designed and developed the disaster resilient network based on software defined network (SDN technology to automatically select the best network link and route among the possible access networks to the Internet by periodically monitoring their network states and evaluate those using extended AHP method. In order to verify the usefulness of our proposed system, a prototype system is constructed and its performance is evaluated.

  15. A Systematic Approach to Find a Professional Audiology Clinic: Patient-Based Information.

    Science.gov (United States)

    Kim, Gungu; Kim, Gibbeum; Na, Wondo; Han, Woojae

    2016-09-01

    This brief communication introduced a systematic way to find a professional audiology clinic developed for patients and professionals by the American Academy of Audiology, American Speech-Language-Hearing Association, and Healthy Hearing. Patients can access each organization's website to find professionals and/or clinics based on criteria such as location, hours, special areas, types of service, reviews and rating by previous patients, and kinds of insurance accepted. Such a system may protect the patients from information overload, guarantee accurate information, and help them find themselves professional audiologists who can assist them. We expect professional organizations to adopt this system as soon as possible and link hearing-impaired patients with professional audiologists in Korea.

  16. The relative influence of team climate, team norms and social network norms on health professionals' implementation of a national recommendation to offer service-users diagnosed with schizophrenia family intervention therapy.

    Science.gov (United States)

    Hanbury, A

    2013-01-01

    Social influence is an important variable influencing health professionals' adoption of clinical recommendations. Different theories conceptualise social influence in different ways. This study operationalised three different forms of social influence--team climate, team norms (descriptive and injunctive) and social network norms (descriptive and injunctive), and compared their ability to predict mental health professionals' self-reported intention to adopt a national, clinical recommendation. A cross-sectional survey was developed, measuring the constructs in relation to intention to offer service-users family an intervention therapy, as part of a larger, theory-based implementation study. The survey was administered to all mental health professionals in one mental health trust. Using multiple regression, descriptive network norms were found to be the only significant predictor of intention. This suggests that behaviour change interventions in this context may benefit from promoting descriptive network norms, for example, emphasising the adoption behaviour of influential peers. Given the high degree of overlap found between network and team members in this study, and the potential challenges of targeting behaviour-change interventions at informal, more difficult to identify networks, future research is needed to evaluate the feasibility of targeting behaviour-change interventions at social networks compared with formal teams.

  17. The Professional Developmental Needs of Higher Education-Based Teacher Educators: An International Comparative Needs Analysis

    Science.gov (United States)

    Czerniawski, Gerry; Guberman, Ainat; MacPhail, Ann

    2017-01-01

    A universal lack of attention to the professional learning needs of teacher educators is the driver for this study, which considers the most effective ways to support the professional learning of higher education-based teacher educators. At a time when many industrialised countries are engaged in systemic educational reform, this study provides an…

  18. Development of Analytical Competencies and Professional Identities through School-Based Learning in Denmark

    Science.gov (United States)

    Andresen, Bent B.

    2015-01-01

    This article presents the main results of a case study on teachers' professional development in terms of competence and identity. The teachers involved in the study are allocated time by their schools to participate in professional "affinity group" meetings. During these meetings, the teachers gather and analyse school-based data about…

  19. Artificial organic networks artificial intelligence based on carbon networks

    CERN Document Server

    Ponce-Espinosa, Hiram; Molina, Arturo

    2014-01-01

    This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and then, via some conventional ideas of organic chemistry, to the creation and characterization of artificial organic networks and AHNs in particular. The advantages of using organic networks are discussed with the rules to be followed to adapt the network to its objectives. Graph theory is used as the basis of the necessary formalism. Simulated and experimental examples of the use of fuzzy logic and genetic algorithms with organic neural networks are presented and a number of modeling problems suitable for treatment by AHNs are described: ·        approximation; ·        inference; ·        clustering; ·        control; ·        class...

  20. EIGENVECTOR-BASED CENTRALITY MEASURES FOR TEMPORAL NETWORKS*

    OpenAIRE

    Taylor, Dane; MYERS, SEAN A.; Clauset, Aaron; Porter, Mason A.; Mucha, Peter J.

    2017-01-01

    Numerous centrality measures have been developed to quantify the importances of nodes in time-independent networks, and many of them can be expressed as the leading eigenvector of some matrix. With the increasing availability of network data that changes in time, it is important to extend such eigenvector-based centrality measures to time-dependent networks. In this paper, we introduce a principled generalization of network centrality measures that is valid for any eigenvector-based centralit...

  1. Problem-based learning for inter-professional education: evidence from an inter-professional PBL module on palliative care

    Directory of Open Access Journals (Sweden)

    Nora McKee

    2013-03-01

    Full Text Available Introduction: The objective of this article was to analyze the theory and pedagogical basis of the use of problem-based learning (PBL for inter-professional education (IPE in undergraduate health science education and present evidence from a palliative care iPBL (inter-professional PBL module that confirms the importance of the two methodologies being used together. Methods: More than 1000 student surveys collected over 4 years were analyzed for components of usefulness, enjoyment and facilitator effectiveness. A retrospective self-assessment of learning was used for both content knowledge of palliative care and knowledge of the other professions participating in the module. Results: Statistically significant gains in knowledge were recorded in both areas assessed. Medical students reported lower gains in knowledge than those in other programs. Scores were moderately high for usefulness and facilitator effectiveness. Scores for enjoyment were very high at 5.19 out of a total score of 6.0. Conclusion: There is strong theoretical and empirical evidence that PBL is a useful method to deliver IPE for palliative care education. With the evidence presented from the palliative care iPBL it is our contention that PBL inter-professional cases should be utilized more often, incorporated into IPE programs generally, and researched more rigorously.

  2. Problem-based learning for inter-professional education: evidence from an inter-professional PBL module on palliative care

    Science.gov (United States)

    McKee, Nora; D’Eon, Marcel; Trinder, Krista

    2013-01-01

    Introduction The objective of this article was to analyze the theory and pedagogical basis of the use of problem-based learning (PBL) for inter-professional education (IPE) in undergraduate health science education and present evidence from a palliative care iPBL (inter-professional PBL) module that confirms the importance of the two methodologies being used together. Methods More than 1000 student surveys collected over 4 years were analyzed for components of usefulness, enjoyment and facilitator effectiveness. A retrospective self-assessment of learning was used for both content knowledge of palliative care and knowledge of the other professions participating in the module. Results Statistically significant gains in knowledge were recorded in both areas assessed. Medical students reported lower gains in knowledge than those in other programs. On a scale of 0 to 6, mean scores were moderately high for usefulness (4.37) and facilitator effectiveness (5.19). Mean scores for enjoyment of the iPBL module were very high at 5.25. Conclusion There is strong theoretical and empirical evidence that PBL is a useful method to deliver IPE for palliative care education. With the evidence presented from the palliative care iPBL it is our contention that PBL inter-professional cases should be utilized more often, incorporated into IPE programs generally, and researched more rigorously. PMID:26451199

  3. Problem-based learning for inter-professional education: evidence from an inter-professional PBL module on palliative care.

    Science.gov (United States)

    McKee, Nora; D'Eon, Marcel; Trinder, Krista

    2013-01-01

    The objective of this article was to analyze the theory and pedagogical basis of the use of problem-based learning (PBL) for inter-professional education (IPE) in undergraduate health science education and present evidence from a palliative care iPBL (inter-professional PBL) module that confirms the importance of the two methodologies being used together. More than 1000 student surveys collected over 4 years were analyzed for components of usefulness, enjoyment and facilitator effectiveness. A retrospective self-assessment of learning was used for both content knowledge of palliative care and knowledge of the other professions participating in the module. Statistically significant gains in knowledge were recorded in both areas assessed. Medical students reported lower gains in knowledge than those in other programs. On a scale of 0 to 6, mean scores were moderately high for usefulness (4.37) and facilitator effectiveness (5.19). Mean scores for enjoyment of the iPBL module were very high at 5.25. There is strong theoretical and empirical evidence that PBL is a useful method to deliver IPE for palliative care education. With the evidence presented from the palliative care iPBL it is our contention that PBL inter-professional cases should be utilized more often, incorporated into IPE programs generally, and researched more rigorously.

  4. Communication Network Architectures Based on Ethernet Passive Optical Network for Offshore Wind Power Farms

    Directory of Open Access Journals (Sweden)

    Mohamed A. Ahmed

    2016-03-01

    Full Text Available Nowadays, with large-scale offshore wind power farms (WPFs becoming a reality, more efforts are needed to maintain a reliable communication network for WPF monitoring. Deployment topologies, redundancy, and network availability are the main items to enhance the communication reliability between wind turbines (WTs and control centers. Traditional communication networks for monitoring and control (i.e., supervisory control and data acquisition (SCADA systems using switched gigabit Ethernet will not be sufficient for the huge amount of data passing through the network. In this paper, the optical power budget, optical path loss, reliability, and network cost of the proposed Ethernet Passive Optical Network (EPON-based communication network for small-size offshore WPFs have been evaluated for five different network architectures. The proposed network model consists of an optical network unit device (ONU deployed on the WT side for collecting data from different internal networks. All ONUs from different WTs are connected to a central optical line terminal (OLT, placed in the control center. There are no active electronic elements used between the ONUs and the OLT, which reduces the costs and complexity of maintenance and deployment. As fiber access networks without any protection are characterized by poor reliability, three different protection schemes have been configured, explained, and discussed. Considering the cost of network components, the total implementation expense of different architectures with, or without, protection have been calculated and compared. The proposed network model can significantly contribute to the communication network architecture for next generation WPFs.

  5. Network-Based and Binless Frequency Analyses.

    Directory of Open Access Journals (Sweden)

    Sybil Derrible

    Full Text Available We introduce and develop a new network-based and binless methodology to perform frequency analyses and produce histograms. In contrast with traditional frequency analysis techniques that use fixed intervals to bin values, we place a range ±ζ around each individual value in a data set and count the number of values within that range, which allows us to compare every single value of a data set with one another. In essence, the methodology is identical to the construction of a network, where two values are connected if they lie within a given a range (±ζ. The value with the highest degree (i.e., most connections is therefore assimilated to the mode of the distribution. To select an optimal range, we look at the stability of the proportion of nodes in the largest cluster. The methodology is validated by sampling 12 typical distributions, and it is applied to a number of real-world data sets with both spatial and temporal components. The methodology can be applied to any data set and provides a robust means to uncover meaningful patterns and trends. A free python script and a tutorial are also made available to facilitate the application of the method.

  6. Network video transmission system based on SOPC

    Science.gov (United States)

    Zhang, Zhengbing; Deng, Huiping; Xia, Zhenhua

    2008-03-01

    Video systems have been widely used in many fields such as conferences, public security, military affairs and medical treatment. With the rapid development of FPGA, SOPC has been paid great attentions in the area of image and video processing in recent years. A network video transmission system based on SOPC is proposed in this paper for the purpose of video acquisition, video encoding and network transmission. The hardware platform utilized to design the system is an SOPC board of model Altera's DE2, which includes an FPGA chip of model EP2C35F672C6, an Ethernet controller and a video I/O interface. An IP core, known as Nios II embedded processor, is used as the CPU of the system. In addition, a hardware module for format conversion of video data, and another module to realize Motion-JPEG have been designed with Verilog HDL. These two modules are attached to the Nios II processor as peripheral equipments through the Avalon bus. Simulation results show that these two modules work as expected. Uclinux including TCP/IP protocol as well as the driver of Ethernet controller is chosen as the embedded operating system and an application program scheme is proposed.

  7. Object Classification Using Substance Based Neural Network

    Directory of Open Access Journals (Sweden)

    P. Sengottuvelan

    2014-01-01

    Full Text Available Object recognition has shown tremendous increase in the field of image analysis. The required set of image objects is identified and retrieved on the basis of object recognition. In this paper, we propose a novel classification technique called substance based image classification (SIC using a wavelet neural network. The foremost task of SIC is to remove the surrounding regions from an image to reduce the misclassified portion and to effectively reflect the shape of an object. At first, the image to be extracted is performed with SIC system through the segmentation of the image. Next, in order to attain more accurate information, with the extracted set of regions, the wavelet transform is applied for extracting the configured set of features. Finally, using the neural network classifier model, misclassification over the given natural images and further background images are removed from the given natural image using the LSEG segmentation. Moreover, to increase the accuracy of object classification, SIC system involves the removal of the regions in the surrounding image. Performance evaluation reveals that the proposed SIC system reduces the occurrence of misclassification and reflects the exact shape of an object to approximately 10–15%.

  8. Methods for promoting knowledge exchange and networking among young professionals in the aerospace sector-IAF's IPMC workshop 2013 insights

    Science.gov (United States)

    Monzon, Amalio; Chow, Tiffany; Guthrie, Paul; Lu, Zhuoyan; Chuma, Constant; He, Huang; Kuzkov, Sergii

    2016-01-01

    During the next decades, the aerospace community will pursue goals such as human exploration beyond the Moon, commercialization and cost reduction of space activities or sustainability of air transport and space operations, bringing relevant economic, environmental and social benefits to the society. Young professionals development is a critical success factor to enable these goals and in consequence is an area of significant interest. This paper focuses on the methods for promoting knowledge exchange and networking among Young Professionals. On the one hand, it analyzes the different activities currently used for that purpose by the organizations of the sector as well as explores the opportunities to reinforce these methods. On the other hand, it presents the results of a survey addressed to Young Professionals and aimed at identifying their needs, expectations and benefits perceived in relation with these activities. This study was conducted as part of the IAF's (International Astronautical Federation) IPMC (International Programme/Project Management Committee) Workshop held during the International Astronautical Congress (IAC) 2013 in Beijing, whose objective was to provide Young Professionals a forum to share experiences and to discuss ideas and needs, and which counted with more than fifty delegates representing IAF member organizations from all around the world.

  9. Flexible Tube-Based Network Control Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The Innovation Laboratory, Inc. builds a control system which controls the topology of an air traffic flow network and the network flow properties which enables Air...

  10. Networked practices of intangible urban heritage: the changing public role of Dutch heritage professionals

    NARCIS (Netherlands)

    A.J.C. van der Hoeven (Arno)

    2016-01-01

    textabstractThis study examines the changing roles of heritage professionals by focusing on the participatory practices of intangible urban heritage. Developments towards democratisation in the heritage sector led to a growing expectation that heritage

  11. Personalized Network-Based Treatments in Oncology

    DEFF Research Database (Denmark)

    Robin, Xavier; Creixell, Pau; Radetskaya, Oxana

    2013-01-01

    Network medicine aims at unraveling cell signaling networks to propose personalized treatments for patients suffering from complex diseases. In this short review, we show the relevance of network medicine to cancer treatment by outlining the potential convergence points of the most recent technol...

  12. Analysis of neural networks through base functions

    NARCIS (Netherlands)

    van der Zwaag, B.J.; Slump, Cornelis H.; Spaanenburg, L.

    Problem statement. Despite their success-story, neural networks have one major disadvantage compared to other techniques: the inability to explain comprehensively how a trained neural network reaches its output; neural networks are not only (incorrectly) seen as a "magic tool" but possibly even more

  13. Measurement-Based Network Link Dimensioning

    NARCIS (Netherlands)

    de Oliveira Schmidt, R.; van den Berg, Hans Leo; Pras, Aiko

    The ever increasing traffic demands and the current trend of network and services virtualization calls for effective approaches for optimal use of network resources. In the future Internet multiple virtual networks will coexist on top of the same physical infrastructure, and these will compete for

  14. Measurement-based network link dimensioning

    NARCIS (Netherlands)

    Schmidt, R. de O.; Den Berg, J.L. van den; Pras, A.

    2015-01-01

    The ever increasing traffic demands and the current trend of network and services virtualization calls for effective approaches for optimal use of network resources. In the future Internet multiple virtual networks will coexist on top of the same physical infrastructure, and these will compete for

  15. Strengthening Family and Consumer Sciences Extension Professionals through a Competency-Based Professional Development System

    Science.gov (United States)

    Franck, Karen; Penn, Allisen; Wise, Dena; Berry, Ann

    2017-01-01

    Responding to reduced funding and organizational restructuring, many state Extension programs have reorganized counties into regional-based entities and limited family and consumer sciences (FCS) to specialized programs in areas such as foods and nutrition (Braverman, Franz, & Rennekamp, 2012; Franz & Cox, 2012; White & Teuteberg,…

  16. Cooperative UAV-Based Communications Backbone for Sensor Networks

    Energy Technology Data Exchange (ETDEWEB)

    Roberts, R S

    2001-10-07

    The objective of this project is to investigate the use of unmanned air vehicles (UAVs) as mobile, adaptive communications backbones for ground-based sensor networks. In this type of network, the UAVs provide communication connectivity to sensors that cannot communicate with each other because of terrain, distance, or other geographical constraints. In these situations, UAVs provide a vertical communication path for the sensors, thereby mitigating geographic obstacles often imposed on networks. With the proper use of UAVs, connectivity to a widely disbursed sensor network in rugged terrain is readily achieved. Our investigation has focused on networks where multiple cooperating UAVs are used to form a network backbone. The advantage of using multiple UAVs to form the network backbone is parallelization of sensor connectivity. Many widely spaced or isolated sensors can be connected to the network at once using this approach. In these networks, the UAVs logically partition the sensor network into sub-networks (subnets), with one UAV assigned per subnet. Partitioning the network into subnets allows the UAVs to service sensors in parallel thereby decreasing the sensor-to-network connectivity. A UAV services sensors in its subnet by flying a route (path) through the subnet, uplinking data collected by the sensors, and forwarding the data to a ground station. An additional advantage of using multiple UAVs in the network is that they provide redundancy in the communications backbone, so that the failure of a single UAV does not necessarily imply the loss of the network.

  17. Network Traffic Prediction Based on Deep Belief Network and Spatiotemporal Compressive Sensing in Wireless Mesh Backbone Networks

    Directory of Open Access Journals (Sweden)

    Laisen Nie

    2018-01-01

    Full Text Available Wireless mesh network is prevalent for providing a decentralized access for users and other intelligent devices. Meanwhile, it can be employed as the infrastructure of the last few miles connectivity for various network applications, for example, Internet of Things (IoT and mobile networks. For a wireless mesh backbone network, it has obtained extensive attention because of its large capacity and low cost. Network traffic prediction is important for network planning and routing configurations that are implemented to improve the quality of service for users. This paper proposes a network traffic prediction method based on a deep learning architecture and the Spatiotemporal Compressive Sensing method. The proposed method first adopts discrete wavelet transform to extract the low-pass component of network traffic that describes the long-range dependence of itself. Then, a prediction model is built by learning a deep architecture based on the deep belief network from the extracted low-pass component. Otherwise, for the remaining high-pass component that expresses the gusty and irregular fluctuations of network traffic, the Spatiotemporal Compressive Sensing method is adopted to predict it. Based on the predictors of two components, we can obtain a predictor of network traffic. From the simulation, the proposed prediction method outperforms three existing methods.

  18. Book reviews: Filipe Carrera, Networking – Survival guide for professionals. How to be successful through contact networks

    Directory of Open Access Journals (Sweden)

    Dragoş Gabriel POPESCU

    2010-09-01

    Full Text Available Filipe Carrera is a first rank professional: he was awarded the “Most Outstanding Trainer in Europe” and the “Most Outstanding Trainer in the World” titles in 2008 and is currently a Marketing Management Ph.D. Professor within the Portuguese Institute of Marketing Management in Lisbon. His book is not a simple course without an anchor to reality, but a book expressing the personal experience and reading, it has an immediate practical applicability.

  19. Classification of complex networks based on similarity of topological network features

    Science.gov (United States)

    Attar, Niousha; Aliakbary, Sadegh

    2017-09-01

    Over the past few decades, networks have been widely used to model real-world phenomena. Real-world networks exhibit nontrivial topological characteristics and therefore, many network models are proposed in the literature for generating graphs that are similar to real networks. Network models reproduce nontrivial properties such as long-tail degree distributions or high clustering coefficients. In this context, we encounter the problem of selecting the network model that best fits a given real-world network. The need for a model selection method reveals the network classification problem, in which a target-network is classified into one of the candidate network models. In this paper, we propose a novel network classification method which is independent of the network size and employs an alignment-free metric of network comparison. The proposed method is based on supervised machine learning algorithms and utilizes the topological similarities of networks for the classification task. The experiments show that the proposed method outperforms state-of-the-art methods with respect to classification accuracy, time efficiency, and robustness to noise.

  20. Performance-based contracting in home-care work in The Netherlands : Professionalism under pressure?

    NARCIS (Netherlands)

    Oomkens, Rosanne; Hoogenboom, Marcel; Knijn, Trudie

    2016-01-01

    Our aim was to improve the understanding of the relationships between performance-based contracting, management supportiveness and professionalism in home care. Using path analysis, this article explores the relationships between home-care workers' perceptions of management support, implementation

  1. Overuse Injuries in Professional Ballet: Injury-Based Differences Among Ballet Disciplines

    National Research Council Canada - National Science Library

    Sobrino, Francisco José; de la Cuadra, Crótida; Guillén, Pedro

    2015-01-01

    Despite overuse injuries being previously described as the most frequent in ballet, there are no studies on professional dancers providing the specific clinical diagnoses or type of injury based on the discipline...

  2. Professional Development for Web-based Teaching: Overcoming Innocence and Resistance.

    Science.gov (United States)

    Gallant, Genevieve M.

    2000-01-01

    A continuum of educators' reactions to change influences the use of learning technologies and the type of professional development needed. Technological and operational infrastructure and strategic planning for technology-based change must also be considered. (Contains 23 references.) (SK)

  3. Analysis of Computer Network Information Based on "Big Data"

    Science.gov (United States)

    Li, Tianli

    2017-11-01

    With the development of the current era, computer network and large data gradually become part of the people's life, people use the computer to provide convenience for their own life, but at the same time there are many network information problems has to pay attention. This paper analyzes the information security of computer network based on "big data" analysis, and puts forward some solutions.

  4. On Emulation-Based Network Intrusion Detection Systems

    NARCIS (Netherlands)

    Abbasi, Ali; Wetzel, Jos; Bokslag, Wouter; Zambon, Emmanuele; Etalle, Sandro

    2014-01-01

    Emulation-based network intrusion detection systems have been devised to detect the presence of shellcode in network traffic by trying to execute (portions of) the network packet payloads in an in- strumented environment and checking the execution traces for signs of shellcode activity.

  5. Survey-Based Measurement of Public Management and Policy Networks

    Science.gov (United States)

    Henry, Adam Douglas; Lubell, Mark; McCoy, Michael

    2012-01-01

    Networks have become a central concept in the policy and public management literature; however, theoretical development is hindered by a lack of attention to the empirical properties of network measurement methods. This paper compares three survey-based methods for measuring organizational networks: the roster, the free-recall name generator, and…

  6. Novel Ethernet Based Optical Local Area Networks for Computer Interconnection

    NARCIS (Netherlands)

    Radovanovic, Igor; van Etten, Wim; Taniman, R.O.; Kleinkiskamp, Ronny

    2003-01-01

    In this paper we present new optical local area networks for fiber-to-the-desk application. Presented networks are expected to bring a solution for having optical fibers all the way to computers. To bring the overall implementation costs down we have based our networks on short-wavelength optical

  7. Owning your professional development.

    Science.gov (United States)

    Pilcher, Jobeth

    2012-01-01

    Professional development encompasses more than simply attending continuing education courses or returning to school for advanced degrees. It can also refer to looking up an unfamiliar diagnosis, changing your practice based on new evidence, and networking with peers about professional issues. Professional growth also involves having curiosity, wanting to provide the best possible care for your patients, and exuding excellence as a nurse. It is about investing in yourself! In doing so, you are not only growing as a professional but also promoting the image of nursing. Several national initiatives, such as Magnet and the Institute of Medicine's (IOM 's) Future of Nursing Report, are available to help improve and transform health care, and also to hopefully help motivate us.1 However, the impetus for professional development needs to come from within each individual nurse.

  8. Evidence-based recommendations to facilitate professional collaboration between allopathic and traditional health practitioners

    Directory of Open Access Journals (Sweden)

    Rachel M. (Dalena van Rooyen

    2017-10-01

    Purpose of the research: To develop evidence-based recommendations aimed at facilitating professional collaboration between allopathic and traditional health practitioners for the benefit of patients. Methodology: Descriptive evidence-based recommendations to enhance professional collaboration between both groups of health practitioners were developed based on focus group interviews with allopathic practitioners (n = 10 and individual interviews with traditional health practitioners (n = 18 (traditional health practitioners (n = 14 and traditional healers who are also allopathic health practitioners (n = 4 practising in the Amathole District in the Eastern Cape, South Africa. Dickoff et al.'s (1968 Survey List wasused as a conceptual framework. Results: Collaboration was hampered by allopathic practitioners demonstrating negative attitudes by not referring patients to traditional practitioners based on lack of knowledge and mutual understanding of each other's practices. Suggestions for collaboration made by both groups resulted in the development of two distinct sets of evidence-based recommendations.The first set of recommendations aims to enhance professional collaboration between both groups of health practitioners. This is done through facilitating mutual understanding based on respect and acceptance between the different practitioners. The second set of recommendations aims to enhance professional collaboration through facilitating open communication between different practitioners. Conclusion: These evidence-based recommendations can be used to facilitate professional collaboration between allopathic and traditional health practitioners resulting in mutual understanding and open communication, enhancing team work in a multi-professional environment, and ultimately leading to improved patient care.

  9. Network Medicine: A Network-based Approach to Human Disease

    Science.gov (United States)

    Barabási, Albert-László; Gulbahce, Natali; Loscalzo, Joseph

    2011-01-01

    Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular network. The emerging tools of network medicine offer a platform to explore systematically not only the molecular complexity of a particular disease, leading to the identification of disease modules and pathways, but also the molecular relationships between apparently distinct (patho)phenotypes. Advances in this direction are essential to identify new diseases genes, to uncover the biological significance of disease-associated mutations identified by genome-wide association studies and full genome sequencing, and to identify drug targets and biomarkers for complex diseases. PMID:21164525

  10. A Cascade-Based Emergency Model for Water Distribution Network

    Directory of Open Access Journals (Sweden)

    Qing Shuang

    2015-01-01

    Full Text Available Water distribution network is important in the critical physical infrastructure systems. The paper studies the emergency resource strategies on water distribution network with the approach of complex network and cascading failures. The model of cascade-based emergency for water distribution network is built. The cascade-based model considers the network topology analysis and hydraulic analysis to provide a more realistic result. A load redistribution function with emergency recovery mechanisms is established. From the aspects of uniform distribution, node betweenness, and node pressure, six recovery strategies are given to reflect the network topology and the failure information, respectively. The recovery strategies are evaluated with the complex network indicators to describe the failure scale and failure velocity. The proposed method is applied by an illustrative example. The results showed that the recovery strategy considering the node pressure can enhance the network robustness effectively. Besides, this strategy can reduce the failure nodes and generate the least failure nodes per time.

  11. Examining the Relationship between Teachers' Attitudes and Motivation toward Web-Based Professional Development: A Structural Equation Modeling Approach

    Science.gov (United States)

    Chien, Hui-Min; Kao, Chia-Pin; Yeh, I-Jan; Lin, Kuen-Yi

    2012-01-01

    This study was conducted to investigate elementary school teachers' attitudes and motivation toward web-based professional development. The relationship between teachers' attitudes and motivation was explored using the AWPD (Attitudes toward Web-based Professional Development) and MWPD (Motivation toward Web-based Professional Development)…

  12. At the intersection of lay and professional social networks: how community ties shape perceptions of mental health treatment providers.

    Science.gov (United States)

    Perry, B L; Pullen, E; Pescosolido, B A

    2016-01-01

    The therapeutic alliance is a critical determinant of individuals' persistence and outcomes in mental health treatment. Simultaneously, individuals' community networks shape decisions about whether, when, and what kind of treatment are used. Despite the similar focus on social relationship influence for individuals with serious mental illness, each line of research has maintained an almost exclusive focus on either 'inside' (i.e. treatment) networks or 'outside' (i.e. community) networks, respectively. For this study, we integrate these important insights by employing a network-embedded approach to understand the therapeutic alliance. Using data from the Indianapolis Network Mental Health Study (INMHS, n = 169, obs = 2206), we target patients experiencing their first major contact with the mental health treatment system. We compare patients' perceptions of support resources available through treatment providers and lay people, and ask whether evaluations of interpersonal dimensions of the therapeutic alliance are contingent on characteristics of community networks. Analyses reveal that providers make up only 9% of the whole social network, but are generally perceived positively. However, when community networks are characterized by close relationships and frequent contact, patients are significantly more likely to report that treatment providers offer useful advice and information. Conversely, when community networks are in conflict, perceptions of treatment providers are more negative. Community-based social networks are critical for understanding facilitators of and barriers to effective networks inside treatment, including the therapeutic alliance. Implications for community-based systems of care are discussed in the context of the USA and global patterns of deinstitutionalization and community reintegration.

  13. Arresting Strategy Based on Dynamic Criminal Networks Changing over Time

    Directory of Open Access Journals (Sweden)

    Junqing Yuan

    2013-01-01

    Full Text Available We investigate a sequence of dynamic criminal networks on a time series based on the dynamic network analysis (DNA. According to the change of networks’ structure, networks’ variation trend is analyzed to forecast its future structure. Finally, an optimal arresting time and priority list are designed based on our analysis. Better results can be expected than that based on social network analysis (SNA.

  14. Developing an inter-organizational community-based health network: an Australian investigation.

    Science.gov (United States)

    Short, Alison; Phillips, Rebecca; Nugus, Peter; Dugdale, Paul; Greenfield, David

    2015-12-01

    Networks in health care typically involve services delivered by a defined set of organizations. However, networked associations between the healthcare system and consumers or consumer organizations tend to be open, fragmented and are fraught with difficulties. Understanding the role and activities of consumers and consumer groups in a formally initiated inter-organizational health network, and the impacts of the network, is a timely endeavour. This study addresses this aim in three ways. First, the Unbounded Network Inter-organizational Collaborative Impact Model, a purpose-designed framework developed from existing literature, is used to investigate the process and products of inter-organizational network development. Second, the impact of a network artefact is explored. Third, the lessons learned in inter-organizational network development are considered. Data collection methods were: 16 h of ethnographic observation; 10 h of document analysis; six interviews with key informants and a survey (n = 60). Findings suggested that in developing the network, members used common aims, inter-professional collaboration, the power and trust engendered by their participation, and their leadership and management structures in a positive manner. These elements and activities underpinned the inter-organizational network to collaboratively produce the Health Expo network artefact. This event brought together healthcare providers, community groups and consumers to share information. The Health Expo demonstrated and reinforced inter-organizational working and community outreach, providing consumers with community-based information and linkages. Support and resources need to be offered for developing community inter-organizational networks, thereby building consumer capacity for self-management in the community. © The Author (2014). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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

    Science.gov (United States)

    Pham, Andy V.

    2014-01-01

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

  16. Analysis of friendship network from MMORPG based data

    OpenAIRE

    Črnigoj, Dean

    2016-01-01

    This work analyzes friendship network from a Massively Multiplayer Online Role-Playing Game (MMORPG). The network is based on data from a private server that was active from 2007 until 2011. The work conducts a standard analysis of the network and then divides players according to different groups based on their activity. Work checks how friendship network can be correlated to the clan (a self-organized group of players who often form a league and play on the same side in a match) network. Ma...

  17. Supporting wellbeing in motor neurone disease for patients, carers, social networks, and health professionals: A scoping review and synthesis.

    Science.gov (United States)

    Harris, Melanie; Thomas, Geoff; Thomas, Mary; Cafarella, Paul; Stocks, Allegra; Greig, Julia; McEvoy, R Doug

    2017-08-22

    Disease management in motor neurone disease (MND) is focused on preserving quality of life. However, the emphasis has so far been on physical symptoms and functioning and not psychosocial wellbeing. MND affects the wellbeing of carers, of family and social network members, and of healthcare providers, as well as of the patients. We therefore aimed to assess and synthesize the knowledge about maximizing MND-related psychosocial wellbeing across all these groups. We used a systematic search and selection process to assess the scope of the literature along with a narrative synthesis of recent high-quality reviews. The original studies were mainly observational studies of patients and, to a lesser extent, of carers. There were few interventional studies, mainly of patients. There were very few studies of any type on wellbeing in their wider social network or in healthcare professionals. All the review literature looked at MND patient or carer wellbeing, with some covering both. No reviews were found of wellbeing in other family members, patients' social networks, or their healthcare professionals. The reviews demonstrated wellbeing problems for patients linked to psychosocial issues. Carer wellbeing is also compromised. Psychotherapies, social supports, improved decision supports, and changes to healthcare delivery are among the suggested strategies for improved patient and carer wellbeing, but no proven interventions were identified for either. Early access to palliative care, also not well-tested but recommended, is poorly implemented. Work on interventions to deal with well-established wellbeing problems for patients and carers is now a research priority. Explicit use of current methods for patient and public involvement and for design and testing of interventions provide a toolkit for this research. Observational research is needed in other groups. There is a potential in considering needs across patients' social networks rather than looking individually at

  18. The experiences of science teachers' particpation in an inquiry-based professional development

    Science.gov (United States)

    Jackson, Emily A.

    Once a leader in science, technology, engineering, and mathematics (STEM) education, the United States (U.S.) is now far behind many countries. There is growing concern that the U.S. is not preparing a sufficient number of students in the areas of STEM. Despite advancement of inquiry learning in science, the extent to which inquiry learning has been implemented on a classroom level falls short. The purpose of this study was to learn about the experiences of science teachers' participation in an inquiry-based professional development. A mixed method research design was used for this study to collect data from ten Project MISE participants. The qualitative data was collected using semi-structured, in-depth individual interviews, focus group interviews, observations, and document analysis of teacher portfolios and analyzed using constant comparative method. The quantitative data were collected through administration of a pretest and posttest instrument that measures the content knowledge of the science teachers and analyzed using descriptive statistics and paired t-test. The participants of this mixed methods study provided compelling evidence that Project MISE has a profound impact on their instructional practice, networking abilities, opportunities for reflection, and content knowledge.

  19. A Neural Networks-Based Hybrid Routing Protocol for Wireless Mesh Networks

    Directory of Open Access Journals (Sweden)

    Nenad Kojić

    2012-06-01

    Full Text Available The networking infrastructure of wireless mesh networks (WMNs is decentralized and relatively simple, but they can display reliable functioning performance while having good redundancy. WMNs provide Internet access for fixed and mobile wireless devices. Both in urban and rural areas they provide users with high-bandwidth networks over a specific coverage area. The main problems affecting these networks are changes in network topology and link quality. In order to provide regular functioning, the routing protocol has the main influence in WMN implementations. In this paper we suggest a new routing protocol for WMN, based on good results of a proactive and reactive routing protocol, and for that reason it can be classified as a hybrid routing protocol. The proposed solution should avoid flooding and creating the new routing metric. We suggest the use of artificial logic—i.e., neural networks (NNs. This protocol is based on mobile agent technologies controlled by a Hopfield neural network. In addition to this, our new routing metric is based on multicriteria optimization in order to minimize delay and blocking probability (rejected packets or their retransmission. The routing protocol observes real network parameters and real network environments. As a result of artificial logic intelligence, the proposed routing protocol should maximize usage of network resources and optimize network performance.

  20. A neural networks-based hybrid routing protocol for wireless mesh networks.

    Science.gov (United States)

    Kojić, Nenad; Reljin, Irini; Reljin, Branimir

    2012-01-01

    The networking infrastructure of wireless mesh networks (WMNs) is decentralized and relatively simple, but they can display reliable functioning performance while having good redundancy. WMNs provide Internet access for fixed and mobile wireless devices. Both in urban and rural areas they provide users with high-bandwidth networks over a specific coverage area. The main problems affecting these networks are changes in network topology and link quality. In order to provide regular functioning, the routing protocol has the main influence in WMN implementations. In this paper we suggest a new routing protocol for WMN, based on good results of a proactive and reactive routing protocol, and for that reason it can be classified as a hybrid routing protocol. The proposed solution should avoid flooding and creating the new routing metric. We suggest the use of artificial logic-i.e., neural networks (NNs). This protocol is based on mobile agent technologies controlled by a Hopfield neural network. In addition to this, our new routing metric is based on multicriteria optimization in order to minimize delay and blocking probability (rejected packets or their retransmission). The routing protocol observes real network parameters and real network environments. As a result of artificial logic intelligence, the proposed routing protocol should maximize usage of network resources and optimize network performance.

  1. Interdependent multi-layer networks: modeling and survivability analysis with applications to space-based networks.

    Science.gov (United States)

    Castet, Jean-Francois; Saleh, Joseph H

    2013-01-01

    This article develops a novel approach and algorithmic tools for the modeling and survivability analysis of networks with heterogeneous nodes, and examines their application to space-based networks. Space-based networks (SBNs) allow the sharing of spacecraft on-orbit resources, such as data storage, processing, and downlink. Each spacecraft in the network can have different subsystem composition and functionality, thus resulting in node heterogeneity. Most traditional survivability analyses of networks assume node homogeneity and as a result, are not suited for the analysis of SBNs. This work proposes that heterogeneous networks can be modeled as interdependent multi-layer networks, which enables their survivability analysis. The multi-layer aspect captures the breakdown of the network according to common functionalities across the different nodes, and it allows the emergence of homogeneous sub-networks, while the interdependency aspect constrains the network to capture the physical characteristics of each node. Definitions of primitives of failure propagation are devised. Formal characterization of interdependent multi-layer networks, as well as algorithmic tools for the analysis of failure propagation across the network are developed and illustrated with space applications. The SBN applications considered consist of several networked spacecraft that can tap into each other's Command and Data Handling subsystem, in case of failure of its own, including the Telemetry, Tracking and Command, the Control Processor, and the Data Handling sub-subsystems. Various design insights are derived and discussed, and the capability to perform trade-space analysis with the proposed approach for various network characteristics is indicated. The select results here shown quantify the incremental survivability gains (with respect to a particular class of threats) of the SBN over the traditional monolith spacecraft. Failure of the connectivity between nodes is also examined, and the

  2. Interdependent multi-layer networks: modeling and survivability analysis with applications to space-based networks.

    Directory of Open Access Journals (Sweden)

    Jean-Francois Castet

    Full Text Available This article develops a novel approach and algorithmic tools for the modeling and survivability analysis of networks with heterogeneous nodes, and examines their application to space-based networks. Space-based networks (SBNs allow the sharing of spacecraft on-orbit resources, such as data storage, processing, and downlink. Each spacecraft in the network can have different subsystem composition and functionality, thus resulting in node heterogeneity. Most traditional survivability analyses of networks assume node homogeneity and as a result, are not suited for the analysis of SBNs. This work proposes that heterogeneous networks can be modeled as interdependent multi-layer networks, which enables their survivability analysis. The multi-layer aspect captures the breakdown of the network according to common functionalities across the different nodes, and it allows the emergence of homogeneous sub-networks, while the interdependency aspect constrains the network to capture the physical characteristics of each node. Definitions of primitives of failure propagation are devised. Formal characterization of interdependent multi-layer networks, as well as algorithmic tools for the analysis of failure propagation across the network are developed and illustrated with space applications. The SBN applications considered consist of several networked spacecraft that can tap into each other's Command and Data Handling subsystem, in case of failure of its own, including the Telemetry, Tracking and Command, the Control Processor, and the Data Handling sub-subsystems. Various design insights are derived and discussed, and the capability to perform trade-space analysis with the proposed approach for various network characteristics is indicated. The select results here shown quantify the incremental survivability gains (with respect to a particular class of threats of the SBN over the traditional monolith spacecraft. Failure of the connectivity between nodes is also

  3. Neural network based system for equipment surveillance

    Science.gov (United States)

    Vilim, R.B.; Gross, K.C.; Wegerich, S.W.

    1998-04-28

    A method and system are disclosed for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process. 33 figs.

  4. Professional Development: Learning from the Best. A Toolkit for Schools and Districts Based on the National Awards Program for Model Professional Development.

    Science.gov (United States)

    Hassel, Emily

    This publication provides a step-by-step guide to help schools and districts implement strong, sustainable professional development that drives achievement of student learning goals. The toolkit is based on the experiences of national professional development award winning schools and districts. The most common thread among the winners is that…

  5. Dynamics of subway networks based on vehicles operation timetable

    Science.gov (United States)

    Xiao, Xue-mei; Jia, Li-min; Wang, Yan-hui

    2017-05-01

    In this paper, a subway network is represented as a dynamic, directed and weighted graph, in which vertices represent subway stations and weights of edges represent the number of vehicles passing through the edges by considering vehicles operation timetable. Meanwhile the definitions of static and dynamic metrics which can represent vertices' and edges' local and global attributes are proposed. Based on the model and metrics, standard deviation is further introduced to study the dynamic properties (heterogeneity and vulnerability) of subway networks. Through a detailed analysis of the Beijing subway network, we conclude that with the existing network structure, the heterogeneity and vulnerability of the Beijing subway network varies over time when the vehicle operation timetable is taken into consideration, and the distribution of edge weights affects the performance of the network. In other words, although the vehicles operation timetable is restrained by the physical structure of the network, it determines the performances and properties of the Beijing subway network.

  6. The guitar chord-generating algorithm based on complex network

    Science.gov (United States)

    Ren, Tao; Wang, Yi-fan; Du, Dan; Liu, Miao-miao; Siddiqi, Awais

    2016-02-01

    This paper aims to generate chords for popular songs automatically based on complex network. Firstly, according to the characteristics of guitar tablature, six chord networks of popular songs by six pop singers are constructed and the properties of all networks are concluded. By analyzing the diverse chord networks, the accompaniment regulations and features are shown, with which the chords can be generated automatically. Secondly, in terms of the characteristics of popular songs, a two-tiered network containing a verse network and a chorus network is constructed. With this network, the verse and chorus can be composed respectively with the random walk algorithm. Thirdly, the musical motif is considered for generating chords, with which the bad chord progressions can be revised. This method can make the accompaniments sound more melodious. Finally, a popular song is chosen for generating chords and the new generated accompaniment sounds better than those done by the composers.

  7. The development, design, testing, refinement, simulation and application of an evaluation framework for communities of practice and social-professional networks

    Directory of Open Access Journals (Sweden)

    Ball Dianne

    2009-09-01

    Full Text Available Abstract Background Communities of practice and social-professional networks are generally considered to enhance workplace experience and enable organizational success. However, despite the remarkable growth in interest in the role of collaborating structures in a range of industries, there is a paucity of empirical research to support this view. Nor is there a convincing model for their systematic evaluation, despite the significant potential benefits in answering the core question: how well do groups of professionals work together and how could they be organised to work together more effectively? This research project will produce a rigorous evaluation methodology and deliver supporting tools for the benefit of researchers, policymakers, practitioners and consumers within the health system and other sectors. Given the prevalence and importance of communities of practice and social networks, and the extent of investments in them, this project represents a scientific innovation of national and international significance. Methods and design Working in four conceptual phases the project will employ a combination of qualitative and quantitative methods to develop, design, field-test, refine and finalise an evaluation framework. Once available the framework will be used to evaluate simulated, and then later existing, health care communities of practice and social-professional networks to assess their effectiveness in achieving desired outcomes. Peak stakeholder groups have agreed to involve a wide range of members and participant organisations, and will facilitate access to various policy, managerial and clinical networks. Discussion Given its scope and size, the project represents a valuable opportunity to achieve breakthroughs at two levels; firstly, by introducing novel and innovative aims and methods into the social research process and, secondly, through the resulting evaluation framework and tools. We anticipate valuable outcomes in the

  8. Teachers' Personal Learning Networks (PLNs): Exploring the Nature of Self-Initiated Professional Learning Online

    Science.gov (United States)

    Tour, Ekaterina

    2017-01-01

    In the field of Literacy Studies, online spaces have been recognised as providing many opportunities for spontaneous and self-initiated learning. While some progress has been made in understanding these important learning experiences, little attention has been paid to teachers' self-initiated professional learning. Contributing to the debates…

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

    Science.gov (United States)

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

    2017-01-01

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

  10. ePAL roadmap for active ageing: a collaborative networks approach to extending professional life

    NARCIS (Netherlands)

    Camarinha-Matos, L.M.; Afsarmanesh, H.; del Cura, A.; Playfoot, J.

    2010-01-01

    Active ageing, through a balanced combination of leisure and social interaction with continued work involvement, is central to meeting older citizens expectations, and maintaining their mental and physical health. Application of the collaborative networks paradigm, and the new generation of

  11. Assessment of performance of professionals in immunohematology proficiency tests of the public blood bank network of the state of Minas Gerais.

    Science.gov (United States)

    Brener, Stela; Ferreira, Angela Melgaço; de Carvalho, Ricardo Vilas Freire; do Valle, Marcele Cunha Ribeiro; Souza, Helio Moraes

    2012-01-01

    Despite significant advances, the practice of blood transfusion is still a complex process and subject to risks. Factors that influence the safety of blood transfusion include technical skill and knowledge in hemotherapy mainly obtained by the qualification and training of teams. This study aimed to investigate the relationship between professional categories working in transfusion services of the public blood bank network in the State of Minas Gerais and their performance in proficiency tests. This was an observational cross-sectional study (2007-2008) performed using a specific instrument, based on evidence and the results of immunohematology proficiency tests as mandated by law. The error rates in ABO and RhD phenotyping, irregular antibody screening and cross-matching were 12.5%, 9.6%, 43.8% and 20.1%, respectively. When considering the number of tests performed, the error rates were 4.6%, 4.2%, 26.7% and 11.0%, respectively. The error rates varied for different professional categories: biochemists, biologists and biomedical scientists (65.0%), clinical pathology technicians (44.1%) and laboratory assistants, nursing technicians and assistant nurses (74.6%). A statistically significant difference was observed when the accuracy of clinical pathology technicians was compared with those of other professionals with only high school education (p-value < 0.001). This was not seen for professionals with university degrees (p-value = 0.293). These results reinforce the need to invest in training, improvement of educational programs, new teaching methods and tools for periodic evaluations, contributing to increase transfusion safety and improve hemotherapy in Brazil.

  12. Evidence That Calls-Based and Mobility Networks Are Isomorphic.

    Directory of Open Access Journals (Sweden)

    Michele Coscia

    Full Text Available Social relations involve both face-to-face interaction as well as telecommunications. We can observe the geography of phone calls and of the mobility of cell phones in space. These two phenomena can be described as networks of connections between different points in space. We use a dataset that includes billions of phone calls made in Colombia during a six-month period. We draw the two networks and find that the call-based network resembles a higher order aggregation of the mobility network and that both are isomorphic except for a higher spatial decay coefficient of the mobility network relative to the call-based network: when we discount distance effects on the call connections with the same decay observed for mobility connections, the two networks are virtually indistinguishable.

  13. Networks as Power Bases for School Improvement

    Science.gov (United States)

    Moore, Tessa A.; Kelly, Michael P.

    2009-01-01

    Although there is limited research into the success of primary school networking initiatives in the UK, there is a drive at national government level for promoting school collaborative working arrangements as a catalyst for whole-school improvement. This paper discusses the findings from research into two such initiatives: "Networked Learning…

  14. ASSESSMENT OF PROFESSIONAL SKILLS OF STUDENTS IN IT-BASED CONTROLLED EDUCATIONAL ENVIRONMENT OF A UNIVERSITY

    Directory of Open Access Journals (Sweden)

    Evgeiy Nikolaevich Boyarov

    2013-08-01

    Full Text Available The article looks at the problem of estimating professional skills of students, the process of their building and assessing their level in IT-based controlled educational environment of a university. The author presents research findings of professional skills level of future educational professionals in the field of Life Safety[1] based on their academic results.Goal: to develop and show by experiments efficiency of building professional skills of students in IT-based controlled educational environment of a university.Results: increasing the level of professional skills in IT-based controlled educational environment of a university.Scope of application of results: field of higher professional education.DOI: http://dx.doi.org/10.12731/2218-7405-2013-7-1[1] Life Safety or Fundamentals of Health and Safety is a secondary school subject, which involves teaching basic rules of how to act in dangerous situations in everyday life (natural disasters, fires, terrorist attacks, etc., provide first aid, etc.

  15. Professional Values Competency Evaluation for Students Enrolled in a Concept-Based Curriculum.

    Science.gov (United States)

    Elliott, Annette M

    2017-01-01

    Although many nursing programs have transitioned toward the use of concept-based curricula, the evaluation of student learning associated with the curricular approach has been limited. An evaluation of student learning related to professional values for programs offering concept-based curricula was not evident in the literature. The purpose was to determine how a course competency related to professional values was addressed by nursing students studying in a concept-based nursing curriculum. The qualitative methodology of framework analysis was used to evaluate written assignments (N = 75). The core concept appreciation for professional values and the core concept disillusionment with unprofessional behaviors were identified in students' written reflections. The core concept of appreciation for professional values contributes to an evidence base of contemporary professional values identified in nursing. The core concept of disillusionment with unprofessional behaviors can inform curricular planning and research on how to advocate for professional behaviors. [J Nurs Educ. 2017;56(1):12-21.]. Copyright 2017, SLACK Incorporated.

  16. Certificate Based Security Services in Adhoc Sensor Network

    OpenAIRE

    Shahin Fatima; Shish Ahmad; P. M. Khan

    2014-01-01

    The paper entitled “CERTIFICATE BASED SECURITY SERVICES IN ADHOC SENSOR NETWORK” proposed an approach in which the aim is to find the method for authentication which is more energy efficient and reduces the transmission time of the network. MANETs are of dynamic topology and have no predefined infrastructure. Due to its dynamic topology this network is prone to various kinds of vulnerable attacks. Sensor networks are battery operated and is a major concern. Methods on ID based Authentication ...

  17. Greening radio access networks using distributed base station architectures

    DEFF Research Database (Denmark)

    Kardaras, Georgios; Soler, José; Dittmann, Lars

    2010-01-01

    . However besides this, increasing energy efficiency represents a key factor for reducing operating expenses and deploying cost effective mobile networks. This paper presents how distributed base station architectures can contribute in greening radio access networks. More specifically, the advantages...... energy saving. Different subsystems have to be coordinated real-time and intelligent network nodes supporting complicated functionalities are necessary. Distributed base station architectures are ideal for this purpose mainly because of their high degree of configurability and self...

  18. Energy Constraint Node Cache Based Routing Protocol For Adhoc Network

    OpenAIRE

    Dhiraj Nitnaware; Ajay Verma

    2010-01-01

    Mobile Adhoc Networks (MANETs) is a wireless infrastructureless network, where nodes are free to move independently in any direction. The nodes have limited battery power; hence we require energy efficient routing protocols to optimize network performance. This paper aims to develop a new routing algorithm based on the energy status of the node cache. We have named this algorithm as ECNC_AODV (Energy Constraint Node Cache) based routing protocol which is derived from the AODV protocol. The al...

  19. Network Anomaly Detection Based on Wavelet Analysis

    Directory of Open Access Journals (Sweden)

    Ali A. Ghorbani

    2008-11-01

    Full Text Available Signal processing techniques have been applied recently for analyzing and detecting network anomalies due to their potential to find novel or unknown intrusions. In this paper, we propose a new network signal modelling technique for detecting network anomalies, combining the wavelet approximation and system identification theory. In order to characterize network traffic behaviors, we present fifteen features and use them as the input signals in our system. We then evaluate our approach with the 1999 DARPA intrusion detection dataset and conduct a comprehensive analysis of the intrusions in the dataset. Evaluation results show that the approach achieves high-detection rates in terms of both attack instances and attack types. Furthermore, we conduct a full day's evaluation in a real large-scale WiFi ISP network where five attack types are successfully detected from over 30 millions flows.

  20. A Network Formation Model Based on Subgraphs

    CERN Document Server

    Chandrasekhar, Arun

    2016-01-01

    We develop a new class of random-graph models for the statistical estimation of network formation that allow for substantial correlation in links. Various subgraphs (e.g., links, triangles, cliques, stars) are generated and their union results in a network. We provide estimation techniques for recovering the rates at which the underlying subgraphs were formed. We illustrate the models via a series of applications including testing for incentives to form cross-caste relationships in rural India, testing to see whether network structure is used to enforce risk-sharing, testing as to whether networks change in response to a community's exposure to microcredit, and show that these models significantly outperform stochastic block models in matching observed network characteristics. We also establish asymptotic properties of the models and various estimators, which requires proving a new Central Limit Theorem for correlated random variables.

  1. Network capacity with probit-based stochastic user equilibrium problem.

    Science.gov (United States)

    Lu, Lili; Wang, Jian; Zheng, Pengjun; Wang, Wei

    2017-01-01

    Among different stochastic user equilibrium (SUE) traffic assignment models, the Logit-based stochastic user equilibrium (SUE) is extensively investigated by researchers. It is constantly formulated as the low-level problem to describe the drivers' route choice behavior in bi-level problems such as network design, toll optimization et al. The Probit-based SUE model receives far less attention compared with Logit-based model albeit the assignment result is more consistent with drivers' behavior. It is well-known that due to the identical and irrelevant alternative (IIA) assumption, the Logit-based SUE model is incapable to deal with route overlapping problem and cannot account for perception variance with respect to trips. This paper aims to explore the network capacity with Probit-based traffic assignment model and investigate the differences of it is with Logit-based SUE traffic assignment models. The network capacity is formulated as a bi-level programming where the up-level program is to maximize the network capacity through optimizing input parameters (O-D multiplies and signal splits) while the low-level program is the Logit-based or Probit-based SUE problem formulated to model the drivers' route choice. A heuristic algorithm based on sensitivity analysis of SUE problem is detailed presented to solve the proposed bi-level program. Three numerical example networks are used to discuss the differences of network capacity between Logit-based SUE constraint and Probit-based SUE constraint. This study finds that while the network capacity show different results between Probit-based SUE and Logit-based SUE constraints, the variation pattern of network capacity with respect to increased level of travelers' information for general network under the two type of SUE problems is the same, and with certain level of travelers' information, both of them can achieve the same maximum network capacity.

  2. A Spectrum Handoff Scheme for Optimal Network Selection in NEMO Based Cognitive Radio Vehicular Networks

    Directory of Open Access Journals (Sweden)

    Krishan Kumar

    2017-01-01

    Full Text Available When a mobile network changes its point of attachments in Cognitive Radio (CR vehicular networks, the Mobile Router (MR requires spectrum handoff. Network Mobility (NEMO in CR vehicular networks is concerned with the management of this movement. In future NEMO based CR vehicular networks deployment, multiple radio access networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. The CR vehicular node may have the capability to make call for two or more types of nonsafety services such as voice, video, and best effort simultaneously. Hence, it becomes difficult for MR to select optimal network for the spectrum handoff. This can be done by performing spectrum handoff using Multiple Attributes Decision Making (MADM methods which is the objective of the paper. The MADM methods such as grey relational analysis and cost based methods are used. The application of MADM methods provides wider and optimum choice among the available networks with quality of service. Numerical results reveal that the proposed scheme is effective for spectrum handoff decision for optimal network selection with reduced complexity in NEMO based CR vehicular networks.

  3. The Possibilities for University-Based Public-Good Professional Education: A Case-Study from South Africa Based on the "Capability Approach"

    Science.gov (United States)

    McLean, Monica; Walker, Melanie

    2012-01-01

    The education of professionals oriented to poverty reduction and the public good is the focus of the article. Sen's "capability approach" is used to conceptualise university-based professional education as a process of developing public-good professional capabilities. The main output of a research project on professional education in…

  4. Improving Student Engagement Using Course-Based Social Networks

    Science.gov (United States)

    Imlawi, Jehad Mohammad

    2013-01-01

    This study proposes an engagement model that supports use of course-based online social networks for engaging student, and hence, improving their educational outcomes. This research demonstrates that instructors who create course-based online social networks to communicate with students can increase the student engagement in these online social…

  5. Implementation of neural network based non-linear predictive control

    DEFF Research Database (Denmark)

    Sørensen, Paul Haase; Nørgård, Peter Magnus; Ravn, Ole

    1999-01-01

    of non-linear systems. GPC is model based and in this paper we propose the use of a neural network for the modeling of the system. Based on the neural network model, a controller with extended control horizon is developed and the implementation issues are discussed, with particular emphasis...

  6. J2EE-based integrated telecom network management

    Science.gov (United States)

    Xia, Zhongwu; Wei, Guo

    2004-04-01

    The paper will present a J2EE-based architecture of integrated telecom network management system, and also will introduce the MVC(Model, View and Control) design pattern in the architecture. Using J2EE and MVC design pattern, we can easily build multiple user interfaces (included Web-based), flexible, manageable, and extensible network management system.

  7. A Web-Based Learning System for Software Test Professionals

    Science.gov (United States)

    Wang, Minhong; Jia, Haiyang; Sugumaran, V.; Ran, Weijia; Liao, Jian

    2011-01-01

    Fierce competition, globalization, and technology innovation have forced software companies to search for new ways to improve competitive advantage. Web-based learning is increasingly being used by software companies as an emergent approach for enhancing the skills of knowledge workers. However, the current practice of Web-based learning is…

  8. Neural Network Based Intelligent Sootblowing System

    Energy Technology Data Exchange (ETDEWEB)

    Mark Rhode

    2005-04-01

    . Due to the composition of coal, particulate matter is also a by-product of coal combustion. Modern day utility boilers are usually fitted with electrostatic precipitators to aid in the collection of particulate matter. Although extremely efficient, these devices are sensitive to rapid changes in inlet mass concentration as well as total mass loading. Traditionally, utility boilers are equipped with devices known as sootblowers, which use, steam, water or air to dislodge and clean the surfaces within the boiler and are operated based upon established rule or operator's judgment. Poor sootblowing regimes can influence particulate mass loading to the electrostatic precipitators. The project applied a neural network intelligent sootblowing system in conjunction with state-of-the-art controls and instruments to optimize the operation of a utility boiler and systematically control boiler slagging/fouling. This optimization process targeted reduction of NOx of 30%, improved efficiency of 2% and a reduction in opacity of 5%. The neural network system proved to be a non-invasive system which can readily be adapted to virtually any utility boiler. Specific conclusions from this neural network application are listed below. These conclusions should be used in conjunction with the specific details provided in the technical discussions of this report to develop a thorough understanding of the process.

  9. Popularity of hypoxic training methods for endurance-based professional and amateur athletes.

    Science.gov (United States)

    Álvarez-Herms, J; Julià-Sánchez, S; Hamlin, M J; Corbi, F; Pagès, T; Viscor, G

    2015-05-01

    Scientific debate continues into whether hypoxic training has any performance benefit for athletes, and although this type of training seems popular, to our knowledge little empirical evidence on its popularity with endurance-based athletes exists. To quantify the usage of hypoxic training in endurance-based athletes we asked 203 athletes (amateur = 108, professional = 95) to complete a 17-question survey during 2013-2014 season. Compared to amateurs, professional athletes were 4.5 times (3.0-6.8, odds ratio, 95% confidence limits) more likely to undertake hypoxic training. Live-high train-low was the most popular hypoxic training protocol for athletes (52% professional and 80% amateur) with live-high train-high also used (38% professional, 20% amateur). Compared to amateurs, professional athletes tended to use evidence-based hypoxic training methods, seek advice on hypoxic training from reliable sources and were generally more realistic about the potential performance gains as a result of hypoxic training. Almost one third (25-30%) of all athletes suffered illness during their hypoxic training. Compared to amateurs, professional athletes are more likely to undertake hypoxic training and tend to follow current scientific guidelines. Attenuation of the ill effects that occur during hypoxic training may be accomplished if athletes give more attention to monitoring stress and training levels. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. The role of professional knowledge in case-based reasoning in practical ethics.

    Science.gov (United States)

    Pinkus, Rosa Lynn; Gloeckner, Claire; Fortunato, Angela

    2015-06-01

    The use of case-based reasoning in teaching professional ethics has come of age. The fields of medicine, engineering, and business all have incorporated ethics case studies into leading textbooks and journal articles, as well as undergraduate and graduate professional ethics courses. The most recent guidelines from the National Institutes of Health recognize case studies and face-to-face discussion as best practices to be included in training programs for the Responsible Conduct of Research. While there is a general consensus that case studies play a central role in the teaching of professional ethics, there is still much to be learned regarding how professionals learn ethics using case-based reasoning. Cases take many forms, and there are a variety of ways to write them and use them in teaching. This paper reports the results of a study designed to investigate one of the issues in teaching case-based ethics: the role of one's professional knowledge in learning methods of moral reasoning. Using a novel assessment instrument, we compared case studies written and analyzed by three groups of students whom we classified as: (1) Experts in a research domain in bioengineering. (2) Novices in a research domain in bioengineering. (3) The non-research group--students using an engineering domain in which they were interested but had no in-depth knowledge. This study demonstrates that a student's level of understanding of a professional knowledge domain plays a significant role in learning moral reasoning skills.

  11. Graduate Professional Education from a Community of Practice Perspective: The Role of Social and Technical Networking

    Science.gov (United States)

    Polin, Linda G.

    This chapter describes academic life at the intersection of three related topics: community of practice (CoP), a pedagogical model; digital culture, as embodied in the current and future student population; and post-secondary education, in particular graduate professional education. The aim is to illustrate ways in which social computing applications enable the use of a CoP model in graduate professional education. The illustrations are drawn from two hybrid, or blended, degree programs (a mix of face-to-face and online interactions) at the graduate school of education and psychology at Pepperdine University. These fully accredited programs have each been in operation for more than a decade. One is the MA degree in educational technology, begun in 1998; the other is the EdD degree in educational technology leadership, begun in 1995.

  12. Named data networking-based smart home

    OpenAIRE

    Syed Hassan Ahmed; Dongkyun Kim

    2016-01-01

    Named data networking (NDN) treats content/data as a “first class citizen” of the network by giving it a “name”. This content “name” is used to retrieve any information, unlike in device-centric networks (i.e., the current Internet), which depend on physical IP addresses. Meanwhile, the smart home concept has been gaining attention in academia and industries; various low-cost embedded devices are considered that can sense, process, store, and communicate data autonomously. In this paper, we s...

  13. Who's afraid of EBM? Medical professionalism from the perspective of evidence-based medicine.

    Science.gov (United States)

    Salloch, Sabine

    2017-03-01

    Evidence-based medicine (EBM) and medical professionalism are two prominent notions in current medical debates. However, proponents of professionalism fear a restriction in doctors' freedom to make their best decisions for individual patients caused by the influence of EBM and highly standardised decision procedures. The challenge which EBM allegedly poses to physicians' discretion forms the starting point for an analysis of the relationship between professionalism, as an inherent value system of medical practice, and EBM, as an approach to optimise the decision-making for individual patients. The analysis starts with a brief conceptual clarification of the ambiguous term "professionalism". It then focuses on three key aspects of medical professionalism which may come into conflict with the basic tenets of EBM. The potential tensions between (a) professional autonomy and clinical practice guidelines, (b) individualised care and standardisation, and (c) esoteric authority and public accountability are analysed and a suggestion for reconcilement regarding each point is made. The article closes with a summary on how a better reflection on medical professionalism may help towards a fuller understanding of EBM and vice versa.

  14. Visualization of Complex Networks Based on Dyadic Curvelet Transform

    Directory of Open Access Journals (Sweden)

    Kaoru Hirota

    2006-07-01

    Full Text Available A visualization method is proposed for understanding the structure of complex networks based on an extended Curvelet transform named Dyadic Curvelet Transform (DClet. The proposed visualization method comes to answer specific questions about structures of complex networks by mapping data into orthogonal localized events with a directional component via the Cartesian sampling sets of detail coefficients. It behaves in the same matter as human visual system, seeing in terms of segments and distinguishing them by scale and orientation. Compressing the network is another fact. The performance of the proposed method is evaluated by two different networks with structural properties of small world networks with N = 16 vertices, and a globally coupled network with size N = 1024 and 523 776 edges. As the most large scale real networks are not fully connected, it is tested on the telecommunication network of Iran as a real extremely complex network with 92 intercity switching vertices, 706 350 E1 traffic channels and 315 525 transmission channels. It is shown that the proposed method performs as a simulation tool for successfully design of network and establishing the necessary group sizes. It can clue the network designer in on all structural properties that network has.

  15. A Hybrid Reliable Heuristic Mapping Method Based on Survivable Virtual Networks for Network Virtualization

    Directory of Open Access Journals (Sweden)

    Qiang Zhu

    2015-01-01

    Full Text Available The reliable mapping of virtual networks is one of the hot issues in network virtualization researches. Unlike the traditional protection mechanisms based on redundancy and recovery mechanisms, we take the solution of the survivable virtual topology routing problem for reference to ensure that the rest of the mapped virtual networks keeps connected under a single node failure condition in the substrate network, which guarantees the completeness of the virtual network and continuity of services. In order to reduce the cost of the substrate network, a hybrid reliable heuristic mapping method based on survivable virtual networks (Hybrid-RHM-SVN is proposed. In Hybrid-RHM-SVN, we formulate the reliable mapping problem as an integer linear program. Firstly, we calculate the primary-cut set of the virtual network subgraph where the failed node has been removed. Then, we use the ant colony optimization algorithm to achieve the approximate optimal mapping. The links in primary-cut set should select a substrate path that does not pass through the substrate node corresponding to the virtual node that has been removed first. The simulation results show that the acceptance rate of virtual networks, the average revenue of mapping, and the recovery rate of virtual networks are increased compared with the existing reliable mapping algorithms, respectively.

  16. Reliability based rehabilitation of water distribution networks by means of Bayesian networks

    Directory of Open Access Journals (Sweden)

    Lakehal Abdelaziz

    2017-09-01

    Full Text Available Water plays an essential role in the everyday lives of the people. To supply subscribers with good quality of water and to ensure continuity of service, the operators use water distribution networks (WDN. The main elements of water distribution network (WDN are: pipes and valves. The work developed in this paper focuses on a water distribution network rehabilitation in the short and long term. Priorities for rehabilitation actions were defined and the information system consolidated, as well as decision-making. The reliability data were conjugated in decision making tools on water distribution network rehabilitation in a forecasting context. As the pipes are static elements and the valves are dynamic elements, a Bayesian network (static-dynamic has been developed, which can help to predict the failure scenario regarding water distribution. A relationship between reliability and prioritization of rehabilitation actions has been investigated. Modelling based on a Static Bayesian Network (SBN is implemented to analyse qualitatively and quantitatively the availability of water in the different segments of the network. Dynamic Bayesian networks (DBN are then used to assess the valves reliability as function of time, which allows management of water distribution based on water availability assessment in different segments. Before finishing the paper by giving some conclusions, a case study of a network supplying a city was presented. The results show the importance and effectiveness of the proposed Bayesian approach in the anticipatory management and for prioritizing rehabilitation of water distribution networks.

  17. Mining human mobility in location-based social networks

    CERN Document Server

    Gao, Huiji

    2015-01-01

    In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience. Typical location-based social networking sites allow a user to ""check in"" at a real-world POI (point of interest, e.g., a hotel, restaurant, theater, etc.), leave tips toward the POI, and share the check-in with their online friends. The check-in action bridges the gap between real world and online social networks, resulting in a new type of social networks, namely l

  18. Cointegration-based financial networks study in Chinese stock market

    Science.gov (United States)

    Tu, Chengyi

    2014-05-01

    We propose a method based on cointegration instead of correlation to construct financial complex network in Chinese stock market. The network is obtained starting from the matrix of p-value calculated by Engle-Granger cointegration test between all pairs of stocks. Then some tools for filtering information in complex network are implemented to prune the complete graph described by the above matrix, such as setting a level of statistical significance as a threshold and Planar Maximally Filtered Graph. We also calculate Partial Correlation Planar Graph of these stocks to compare the above networks. Last, we analyze these directed, weighted and non-symmetric networks by using standard methods of network analysis, including degree centrality, PageRank, HITS, local clustering coefficient, K-shell and strongly and weakly connected components. The results shed a new light on the underlying mechanisms and driving forces in a financial market and deepen our understanding of financial complex network.

  19. Multiagent Based Information Dissemination in Vehicular Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    S.S. Manvi

    2009-01-01

    Full Text Available Vehicular Ad hoc Networks (VANETs are a compelling application of ad hoc networks, because of the potential to access specific context information (e.g. traffic conditions, service updates, route planning and deliver multimedia services (Voice over IP, in-car entertainment, instant messaging, etc.. This paper proposes an agent based information dissemination model for VANETs. A two-tier agent architecture is employed comprising of the following: 1 'lightweight', network-facing, mobile agents; 2 'heavyweight', application-facing, norm-aware agents. The limitations of VANETs lead us to consider a hybrid wireless network architecture that includes Wireless LAN/Cellular and ad hoc networking for analyzing the proposed model. The proposed model provides flexibility, adaptability and maintainability for traffic information dissemination in VANETs as well as supports robust and agile network management. The proposed model has been simulated in various network scenarios to evaluate the effectiveness of the approach.

  20. Material matters for learning in virtual networks: a case study of a professional learning programme hosted in a Google+ online community

    Directory of Open Access Journals (Sweden)

    Aileen Ackland

    2015-08-01

    Full Text Available In this paper, we draw on Actor–Network Theories (ANT to explore how material components functioned to create gateways and barriers to a virtual learning network in the context of a professional development module in higher education. Students were practitioners engaged in family learning in different professional roles and contexts. The data comprised postings in the Google+ community, email correspondence, meeting notes, feedback submitted at the final workshop and post-module evaluation forms. Our analysis revealed a complex set of interactions, and suggests multiple ways human actors story their encounters with non-human components and the effects these have on the learning experience. The aim of this paper is to contribute to a more holistic understanding of the components and dynamics of social learning networks in the virtual world and consider the implications for the design of online learning for continuous professional development (CPD.

  1. Professional Supervision as Storied Experience: Narrative Analysis Findings for Australian-Based Registered Music Therapists.

    Science.gov (United States)

    Kennelly, Jeanette D; Baker, Felicity A; Daveson, Barbara A

    2017-03-01

    Limited research exists to inform a music therapist's supervision story from their pre-professional training to their practice as a professional. Evidence is needed to understand the complex nature of supervision experiences and their impact on professional practice. This qualitative study explored the supervisory experiences of Australian-based Registered Music Therapists, according to the: 1) themes that characterize their experiences, 2) influences of the supervisor's professional background, 3) outcomes of supervision, and 4) roles of the employer, the professional music therapy association, and the university in supervision standards and practice. Seven professionals were interviewed for this study. Five stages of narrative analysis were used to create their supervision stories: a life course graph, narrative psychological analysis, component story framework and narrative analysis, analysis of narratives, and final integration of the seven narrative summaries. Findings revealed that supervision practice is influenced by a supervisee's personal and professional needs. A range of supervision models or approaches is recommended, including the access of supervisors from different professional backgrounds to support each stage of learning and development. A quality supervisory experience facilitates shifts in awareness and insight, which results in improved or increased skills, confidence, and accountability of practice. Participants' concern about stakeholders included a limited understanding of the role of the supervisor, a lack of clarity about accountability of supervisory practice, and minimal guidelines, which monitor professional competencies. The benefits of supervision in music therapy depend on the quality of the supervision provided, and clarity about the roles of those involved. Research and guidelines are recommended to target these areas.

  2. Inference of time-delayed gene regulatory networks based on dynamic Bayesian network hybrid learning method.

    Science.gov (United States)

    Yu, Bin; Xu, Jia-Meng; Li, Shan; Chen, Cheng; Chen, Rui-Xin; Wang, Lei; Zhang, Yan; Wang, Ming-Hui

    2017-10-06

    Gene regulatory networks (GRNs) research reveals complex life phenomena from the perspective of gene interaction, which is an important research field in systems biology. Traditional Bayesian networks have a high computational complexity, and the network structure scoring model has a single feature. Information-based approaches cannot identify the direction of regulation. In order to make up for the shortcomings of the above methods, this paper presents a novel hybrid learning method (DBNCS) based on dynamic Bayesian network (DBN) to construct the multiple time-delayed GRNs for the first time, combining the comprehensive score (CS) with the DBN model. DBNCS algorithm first uses CMI2NI (conditional mutual inclusive information-based network inference) algorithm for network structure profiles learning, namely the construction of search space. Then the redundant regulations are removed by using the recursive optimization algorithm (RO), thereby reduce the false positive rate. Secondly, the network structure profiles are decomposed into a set of cliques without loss, which can significantly reduce the computational complexity. Finally, DBN model is used to identify the direction of gene regulation within the cliques and search for the optimal network structure. The performance of DBNCS algorithm is evaluated by the benchmark GRN datasets from DREAM challenge as well as the SOS DNA repair network in Escherichia coli, and compared with other state-of-the-art methods. The experimental results show the rationality of the algorithm design and the outstanding performance of the GRNs.

  3. Dynamical complexity in the perception-based network formation model

    Science.gov (United States)

    Jo, Hang-Hyun; Moon, Eunyoung

    2016-12-01

    Many link formation mechanisms for the evolution of social networks have been successful to reproduce various empirical findings in social networks. However, they have largely ignored the fact that individuals make decisions on whether to create links to other individuals based on cost and benefit of linking, and the fact that individuals may use perception of the network in their decision making. In this paper, we study the evolution of social networks in terms of perception-based strategic link formation. Here each individual has her own perception of the actual network, and uses it to decide whether to create a link to another individual. An individual with the least perception accuracy can benefit from updating her perception using that of the most accurate individual via a new link. This benefit is compared to the cost of linking in decision making. Once a new link is created, it affects the accuracies of other individuals' perceptions, leading to a further evolution of the actual network. As for initial actual networks, we consider both homogeneous and heterogeneous cases. The homogeneous initial actual network is modeled by Erdős-Rényi (ER) random networks, while we take a star network for the heterogeneous case. In any cases, individual perceptions of the actual network are modeled by ER random networks with controllable linking probability. Then the stable link density of the actual network is found to show discontinuous transitions or jumps according to the cost of linking. As the number of jumps is the consequence of the dynamical complexity, we discuss the effect of initial conditions on the number of jumps to find that the dynamical complexity strongly depends on how much individuals initially overestimate or underestimate the link density of the actual network. For the heterogeneous case, the role of the highly connected individual as an information spreader is also discussed.

  4. Position statement on the role of healthcare professionals, patient organizations and industry in European Reference Networks

    NARCIS (Netherlands)

    Hollak, C.E.M.; Biegstraaten, M.; Baumgartner, M.R.; Belmatoug, N.; Bembi, B.; Bosch, A.; Brouwers, M.; Dekker, H.; Dobbelaere, D.; Engelen, M.; Groenendijk, M.C.; Lachmann, R.; Langendonk, J.G.; Langeveld, M.; Linthorst, G.; Morava, E.; Tien Poll-The, B.; Rahman, S.; Rubio-Gozalbo, M.E.; Spiekerkoetter, U.; Treacy, E.; Wanders, R.; Zschocke, J.; Hagendijk, R.

    2016-01-01

    A call from the EU for the set-up of European Reference Networks (ERNs) is expected to be launched in the first quarter of 2016. ERNs are intended to improve the care for patients with low prevalent or rare diseases throughout the EU by, among other things, facilitating the pooling and exchange of

  5. Position statement on the role of healthcare professionals, patient organizations and industry in European Reference Networks

    NARCIS (Netherlands)

    C.E.M. Hollak (Carla); M. Biegstraaten (Marieke); M.R. Baumgartner (Matthias R.); N. Belmatoug (Nadia); B. Bembi (Bruno); A.M. Bosch (Annet); M.C.G.J. Brouwers (M. C G J); H. Dekker (Hanka); D. Dobbelaere (Dries); M. Engelen (Marc); M.C. Groenendijk (Marike C.); R.H. Lachmann (Robin); J.G. Langendonk (Janneke); M. Langeveld (Mirjam); G. Linthorst (Gabor); E. Morava (Eva); B.T. Poll-The; S. Rahman (Shamima); M.E. Rubio-Gozalbo (Estela); U. Spiekerkoeter (Ute); E. Treacy (Eileen); R.J.A. Wanders (Ronald); J. Zschocke (Johannes); R. Hagendijk (Rob)

    2016-01-01

    textabstractA call from the EU for the set-up of European Reference Networks (ERNs) is expected to be launched in the first quarter of 2016. ERNs are intended to improve the care for patients with low prevalent or rare diseases throughout the EU by, among other things, facilitating the pooling and

  6. Resource Discovery in Activity-Based Sensor Networks

    DEFF Research Database (Denmark)

    Bucur, Doina; Bardram, Jakob

    This paper proposes a service discovery protocol for sensor networks that is specifically tailored for use in humancentered pervasive environments. It uses the high-level concept of computational activities (as logical bundles of data and resources) to give sensors in Activity-Based Sensor Networks...... (ABSNs) knowledge about their usage even at the network layer. ABSN redesigns classical network-level service discovery protocols to include and use this logical structuring of the network for a more practically applicable service discovery scheme. Noting that in practical settings activity-based sensor...... patches are localized, ABSN designs a completely distributed, hybrid discovery protocol which is proactive in a neighbourhood zone and reactive outside, tailored so that any query among the sensors of one activity is routed through the network with minimum overhead, guided by the bounds of that activity...

  7. Technology Integration: A Research-Based Professional Development Program

    Science.gov (United States)

    Faulder, Tori Rose

    2011-01-01

    This research-based thesis project explains the governmental acts and policies, investors, and other stakeholders who have worked to promote, question, and explore the use of information and communication technologies (ICT) in the classroom. Research suggests that best-practice ICT integration requires using ICT alongside constructivist pedagogy.…

  8. Examining the effects of a mindfulness-based professional training ...

    African Journals Online (AJOL)

    Background. Mindfulness-based interventions (MBIs) have been shown to be effective in a wide range of health-related problems. Teaching and research with regard to MBIs have largely been conducted in the USA and Europe. The development of teachers of MBIs requires that they embody the practice of mindfulness ...

  9. Reasserting Theory in Professionally Based Initial Teacher Education

    Science.gov (United States)

    Hodson, Elaine; Smith, Kim; Brown, Tony

    2012-01-01

    Conceptions of theory within initial teacher education in England are adjusting to new conditions where most learning how to teach is school-based. Student teachers on a programme situated primarily in an employing school were monitored within a practitioner enquiry by their university programme tutors according to how they progressively…

  10. Adherence of Healthcare Professionals to Evidence-based Clinical ...

    African Journals Online (AJOL)

    The checklist included the evidence-based clinical practice guidelines for the HD vascular access, HD adequacy, anemia of chronic kidney disease (CKD), nutrition, cardiovascular risk assessment, and hepatitis B and C virus infection control. Implementation of these guidelines was evaluated, and further graded using a ...

  11. Transformative Professional Development: Inquiry-Based College Science Teaching Institutes

    Science.gov (United States)

    Zhao, Ningfeng; Witzig, Stephen B.; Weaver, Jan C.; Adams, John E.; Schmidt, Frank

    2012-01-01

    Two Summer Institutes funded by the National Science Foundation were held for current and future college science faculty. The overall goal was to promote learning and practice of inquiry-based college science teaching. We developed a collaborative and active learning format for participants that involved all phases of the 5E learning cycle of…

  12. Topic-based Social Influence Measurement for Social Networks

    Directory of Open Access Journals (Sweden)

    Asso Hamzehei

    2017-11-01

    Full Text Available Social science studies have acknowledged that the social influence of individuals is not identical. Social networks structure and shared text can reveal immense information about users, their interests, and topic-based influence. Although some studies have considered measuring user influence, less has been on measuring and estimating topic-based user influence. In this paper, we propose an approach that incorporates network structure, user-generated content for topic-based influence measurement, and user’s interactions in the network. We perform experimental analysis on Twitter data and show that our proposed approach can effectively measure topic-based user influence.

  13. Evaluation of the Professional Development Program on Web Based Content Development

    Science.gov (United States)

    Yurdakul, Bünyamin; Uslu, Öner; Çakar, Esra; Yildiz, Derya G.

    2014-01-01

    The aim of this study is to evaluate the professional development program on web based content development (WBCD) designed by the Ministry of National Education (MoNE). Based on the theoretical CIPP model by Stufflebeam and Guskey's levels of evaluation, the study was carried out as a case study. The study group consisted of the courses that…

  14. The Practice of Professional Doctorates: The Case of a U.K.-Based Distance DBA

    Science.gov (United States)

    Simpson, Colin; Sommer, Daniela

    2016-01-01

    In light of the prominent role of socio-materiality in contemporary social scientific, and particularly educational research, this article uses two practice-based theories to investigate the experiences of German business management professionals on a U.K.-based DBA delivered in Germany. We specifically take concepts from cultural historical…

  15. Strategies for a professional development programme: empowering teachers for context-based chemistry education.

    NARCIS (Netherlands)

    Stolk, M.; Bulte, A.M.W.|info:eu-repo/dai/nl/115689001; de Jong, O.|info:eu-repo/dai/nl/074847880; Pilot, A.|info:eu-repo/dai/nl/068350880

    2009-01-01

    The aim of this study is to understand the design of professional development programmes in teacher-based and context-based chemistry curriculum innovations. Firstly, the goals of these programmes are discussed and related to the concept of empowerment. Next, in a selection of empirical studies,

  16. A Neural Network-Based Interval Pattern Matcher

    Directory of Open Access Journals (Sweden)

    Jing Lu

    2015-07-01

    Full Text Available One of the most important roles in the machine learning area is to classify, and neural networks are very important classifiers. However, traditional neural networks cannot identify intervals, let alone classify them. To improve their identification ability, we propose a neural network-based interval matcher in our paper. After summarizing the theoretical construction of the model, we take a simple and a practical weather forecasting experiment, which show that the recognizer accuracy reaches 100% and that is promising.

  17. Wireless Sensor Network Based Subsurface Contaminant Plume Monitoring

    Science.gov (United States)

    2012-04-16

    conventional WSN . VSN enabled closed loop system consumes more energy than the VSN only system, because of the commands that are send to the nodes. Energy ...predict future plume behavior. This proof-of-concept research aimed at demonstrating the use of an intelligent Wireless Sensor Network ( WSN ) to...Network ( WSN ) to monitor contaminant plume movement in naturally heterogeneous subsurface formations to advance the sensor networking based monitoring

  18. A simple network agreement-based approach for combining evidences in a heterogeneous sensor network

    Directory of Open Access Journals (Sweden)

    Raúl Eusebio-Grande

    2015-12-01

    Full Text Available In this research we investigate how the evidences provided by both static and mobile nodes that are part of a heterogenous sensor network can be combined to have trustworthy results. A solution relying on a network agreement-based approach was implemented and tested.

  19. Representations in neural network based empirical potentials

    Science.gov (United States)

    Cubuk, Ekin D.; Malone, Brad D.; Onat, Berk; Waterland, Amos; Kaxiras, Efthimios

    2017-07-01

    Many structural and mechanical properties of crystals, glasses, and biological macromolecules can be modeled from the local interactions between atoms. These interactions ultimately derive from the quantum nature of electrons, which can be prohibitively expensive to simulate. Machine learning has the potential to revolutionize materials modeling due to its ability to efficiently approximate complex functions. For example, neural networks can be trained to reproduce results of density functional theory calculations at a much lower cost. However, how neural networks reach their predictions is not well understood, which has led to them being used as a "black box" tool. This lack of understanding is not desirable especially for applications of neural networks in scientific inquiry. We argue that machine learning models trained on physical systems can be used as more than just approximations since they had to "learn" physical concepts in order to reproduce the labels they were trained on. We use dimensionality reduction techniques to study in detail the representation of silicon atoms at different stages in a neural network, which provides insight into how a neural network learns to model atomic interactions.

  20. ANOMALY NETWORK INTRUSION DETECTION SYSTEM BASED ON DISTRIBUTED TIME-DELAY NEURAL NETWORK (DTDNN

    Directory of Open Access Journals (Sweden)

    LAHEEB MOHAMMAD IBRAHIM

    2010-12-01

    Full Text Available In this research, a hierarchical off-line anomaly network intrusion detection system based on Distributed Time-Delay Artificial Neural Network is introduced. This research aims to solve a hierarchical multi class problem in which the type of attack (DoS, U2R, R2L and Probe attack detected by dynamic neural network. The results indicate that dynamic neural nets (Distributed Time-Delay Artificial Neural Network can achieve a high detection rate, where the overall accuracy classification rate average is equal to 97.24%.

  1. Strengths and weaknesses of Problem Based Learning from the professional perspective of registered nurses

    Directory of Open Access Journals (Sweden)

    María Cónsul-Giribet

    2014-10-01

    Full Text Available OBJECTIVE: to identify competency strengths and weaknesses as perceived by nursing professionals who graduated with a integrated curriculum and competency-based through Problem Based Learning in small groups.METHOD: an intrinsic case study method was used, which analyzes this innovation through former students (from the first class with three years of professional experience. The data were collected through a questionnaire and discussion groups.RESULTS: the results show that their competency level is valued in a very satisfactory manner. This level paradoxically contrasts with the lack of theoretical knowledge they perceived at the end of their education, when they started working in clinical practice.CONCLUSIONS: the teaching strategy was key to motivate an in-depth study and arouse the desire to know. In addition, Problem Based Learning favors and reinforces the decision to learn, which is that necessary in the course of professional life.

  2. Strengths and weaknesses of Problem Based Learning from the professional perspective of registered nurses 1

    Science.gov (United States)

    Cónsul-Giribet, María; Medina-Moya, José Luis

    2014-01-01

    OBJECTIVE: to identify competency strengths and weaknesses as perceived by nursing professionals who graduated with a integrated curriculum and competency-based through Problem Based Learning in small groups. METHOD: an intrinsic case study method was used, which analyzes this innovation through former students (from the first class) with three years of professional experience. The data were collected through a questionnaire and discussion groups. RESULTS: the results show that their competency level is valued in a very satisfactory manner. This level paradoxically contrasts with the lack of theoretical knowledge they perceived at the end of their education, when they started working in clinical practice. CONCLUSIONS: the teaching strategy was key to motivate an in-depth study and arouse the desire to know. In addition, Problem Based Learning favors and reinforces the decision to learn, which is that necessary in the course of professional life. PMID:25493666

  3. Strengths and weaknesses of Problem Based Learning from the professional perspective of registered nurses.

    Science.gov (United States)

    Cónsul-Giribet, María; Medina-Moya, José Luis

    2014-10-01

    To identify competency strengths and weaknesses as perceived by nursing professionals who graduated with a integrated curriculum and competency-based through Problem Based Learning in small groups. An intrinsic case study method was used, which analyzes this innovation through former students (from the first class) with three years of professional experience. The data were collected through a questionnaire and discussion groups. The results show that their competency level is valued in a very satisfactory manner. This level paradoxically contrasts with the lack of theoretical knowledge they perceived at the end of their education, when they started working in clinical practice. The teaching strategy was key to motivate an in-depth study and arouse the desire to know. In addition, Problem Based Learning favors and reinforces the decision to learn, which is that necessary in the course of professional life.

  4. Structure and properties of triolein-based polyurethane networks.

    Science.gov (United States)

    Zlatanić, Alisa; Petrović, Zoran S; Dusek, Karel

    2002-01-01

    Polyurethane networks based on vegetable oils have very heterogeneous composition, and it is difficult to find a close correlation between their structure and properties. To establish benchmark structure-properties relationships, we have prepared model polyurethane networks based on triolein and 4,4'-diphenylmethane diisocyanate (MDI). Cross-linking in the middle of fatty acid chains leaves significant parts of the triglyceride as dangling chains. To examine their effect on properties, we have synthesized another polyurethane network using triolein without dangling chains (removed by metathesis). The structure of polyols was studied in detail since it affects the structure of polyurethane networks. The network structure was analyzed from swelling and mechanical measurements and by applying network and rubber elasticity theories. The cross-linking density in both networks was found to be close to theoretical. The triolein-based model network displayed modulus (around 6 MPa), tensile strength (8.7 MPa), and elongation at break (136%), characteristic of hard rubbers. Glass transition temperatures of the networks from triolein and its metathesis analogue were 25 and 31.5 degrees C, respectively.

  5. Self-presentation in Online Professional Networks: Men's Higher and Women's Lower Facial Prominence in Self-created Profile Images

    Directory of Open Access Journals (Sweden)

    Sabine Sczesny

    2018-01-01

    Full Text Available Men are presented with higher facial prominence than women in the media, a phenomenon that is called face-ism. In naturalistic settings, face-ism effects could be driven by gender biases of photographers and/or by gender differences in self-presentation. The present research is the first to investigate whether women and men themselves create this different facial prominence. In a controlled laboratory study, 61 participants prepared a picture of themselves from a half-body photograph, allegedly to be uploaded to their profile for an online professional network. As expected, men cropped their photos with higher facial prominence than women did. However, women and men did not differ in the self-presentational motivations, goals, strategies, and personality variables under investigation, so that the observed face-ism effect could not be explained with these variables. Generally, the higher participants' physical appearance self-esteem, the higher was their self-created facial prominence.

  6. Anomaly-based Network Intrusion Detection Methods

    Directory of Open Access Journals (Sweden)

    Pavel Nevlud

    2013-01-01

    Full Text Available The article deals with detection of network anomalies. Network anomalies include everything that is quite different from the normal operation. For detection of anomalies were used machine learning systems. Machine learning can be considered as a support or a limited type of artificial intelligence. A machine learning system usually starts with some knowledge and a corresponding knowledge organization so that it can interpret, analyse, and test the knowledge acquired. There are several machine learning techniques available. We tested Decision tree learning and Bayesian networks. The open source data-mining framework WEKA was the tool we used for testing the classify, cluster, association algorithms and for visualization of our results. The WEKA is a collection of machine learning algorithms for data mining tasks.

  7. Named data networking-based smart home

    Directory of Open Access Journals (Sweden)

    Syed Hassan Ahmed

    2016-09-01

    Full Text Available Named data networking (NDN treats content/data as a “first class citizen” of the network by giving it a “name”. This content “name” is used to retrieve any information, unlike in device-centric networks (i.e., the current Internet, which depend on physical IP addresses. Meanwhile, the smart home concept has been gaining attention in academia and industries; various low-cost embedded devices are considered that can sense, process, store, and communicate data autonomously. In this paper, we study NDN in the context of smart-home communications, discuss the preliminary evaluations, and describe the future challenges of applying NDN in smart-home applications.

  8. Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm

    Directory of Open Access Journals (Sweden)

    Mohammad Taghi Ameli

    2012-01-01

    Full Text Available Transmission Network Expansion Planning (TNEP is a basic part of power network planning that determines where, when and how many new transmission lines should be added to the network. So, the TNEP is an optimization problem in which the expansion purposes are optimized. Artificial Intelligence (AI tools such as Genetic Algorithm (GA, Simulated Annealing (SA, Tabu Search (TS and Artificial Neural Networks (ANNs are methods used for solving the TNEP problem. Today, by using the hybridization models of AI tools, we can solve the TNEP problem for large-scale systems, which shows the effectiveness of utilizing such models. In this paper, a new approach to the hybridization model of Probabilistic Neural Networks (PNNs and Harmony Search Algorithm (HSA was used to solve the TNEP problem. Finally, by considering the uncertain role of the load based on a scenario technique, this proposed model was tested on the Garver’s 6-bus network.

  9. Professional SharePoint 2010 Cloud-Based Solutions

    CERN Document Server

    Fox, Steve; Stubbs, Paul; Follette, Donovan

    2011-01-01

    An authoritative guide to extending SharePoint's power with cloud-based services If you want to be part of the next major shift in the IT industry, you'll want this book. Melding two of the hottest trends in the industry—the widespread popularity of the SharePoint collaboration platform and the rapid rise of cloud computing—this practical guide shows developers how to extend their SharePoint solutions with the cloud's almost limitless capabilities. See how to get started, discover smart ways to leverage cloud data and services through Azure, start incorporating Twitter or LinkedIn

  10. Professional development model for science teachers based on scientific literacy

    Science.gov (United States)

    Rubini, B.; Ardianto, D.; Pursitasari, I. D.; Permana, I.

    2017-01-01

    Scientific literacy is considered as a benchmark of high and low quality of science education in a country. Teachers as a major component of learning at the forefront of building science literacy skills of students in the class. The primary purpose this study is development science teacher coaching model based on scientific literacy. In this article we describe about teacher science literacy and profile coaching model for science’ teachers based on scientific literacy which a part of study conducted in first year. The instrument used in this study consisted of tests, observation sheet, interview guides. The finding showed that problem of low scientific literacy is not only happen the students, but science’ teachers which is a major component in the learning process is still not satisfactory. Understanding science teacher is strongly associated with the background disciplinary. Science teacher was still weak when explaining scientific phenomena, mainly related to the material that relates to the concept of environmental. Coaching model generated from this study consisted of 8 stages by assuming the teacher is an independent learner, so the coaching is done with methods on and off, with time off for activities designed more.

  11. Image Restoration Technology Based on Discrete Neural network

    Directory of Open Access Journals (Sweden)

    Zhou Duoying

    2015-01-01

    Full Text Available With the development of computer science and technology, the development of artificial intelligence advances rapidly in the field of image restoration. Based on the MATLAB platform, this paper constructs a kind of image restoration technology of artificial intelligence based on the discrete neural network and feedforward network, and carries out simulation and contrast of the restoration process by the use of the bionic algorithm. Through the application of simulation restoration technology, this paper verifies that the discrete neural network has a good convergence and identification capability in the image restoration technology with a better effect than that of the feedforward network. The restoration technology based on the discrete neural network can provide a reliable mathematical model for this field.

  12. DNA sequence analysis using hierarchical ART-based classification networks

    Energy Technology Data Exchange (ETDEWEB)

    LeBlanc, C.; Hruska, S.I. [Florida State Univ., Tallahassee, FL (United States); Katholi, C.R.; Unnasch, T.R. [Univ. of Alabama, Birmingham, AL (United States)

    1994-12-31

    Adaptive resonance theory (ART) describes a class of artificial neural network architectures that act as classification tools which self-organize, work in real-time, and require no retraining to classify novel sequences. We have adapted ART networks to provide support to scientists attempting to categorize tandem repeat DNA fragments from Onchocerca volvulus. In this approach, sequences of DNA fragments are presented to multiple ART-based networks which are linked together into two (or more) tiers; the first provides coarse sequence classification while the sub- sequent tiers refine the classifications as needed. The overall rating of the resulting classification of fragments is measured using statistical techniques based on those introduced to validate results from traditional phylogenetic analysis. Tests of the Hierarchical ART-based Classification Network, or HABclass network, indicate its value as a fast, easy-to-use classification tool which adapts to new data without retraining on previously classified data.

  13. Friend suggestion in social network based on user log

    Science.gov (United States)

    Kaviya, R.; Vanitha, M.; Sumaiya Thaseen, I.; Mangaiyarkarasi, R.

    2017-11-01

    Simple friend recommendation algorithms such as similarity, popularity and social aspects is the basic requirement to be explored to methodically form high-performance social friend recommendation. Suggestion of friends is followed. No tags of character were followed. In the proposed system, we use an algorithm for network correlation-based social friend recommendation (NC-based SFR).It includes user activities like where one lives and works. A new friend recommendation method, based on network correlation, by considering the effect of different social roles. To model the correlation between different networks, we develop a method that aligns these networks through important feature selection. We consider by preserving the network structure for a more better recommendations so that it significantly improves the accuracy for better friend-recommendation.

  14. Effective information spreading based on local information in correlated networks

    CERN Document Server

    Gao, Lei; Pan, Liming; Tang, Ming; Zhang, Hai-Feng

    2016-01-01

    Using network-based information to facilitate information spreading is an essential task for spreading dynamics in complex networks, which will benefit the promotion of technical innovations, healthy behaviors, new products, etc. Focusing on degree correlated networks, we propose a preferential contact strategy based on the local network structure and local informed density to promote the information spreading. During the spreading process, an informed node will preferentially select a contact target among its neighbors, basing on their degrees or local informed densities. By extensively implementing numerical simulations in synthetic and empirical networks, we find that when only consider the local structure information, the convergence time of information spreading will be remarkably reduced if low-degree neighbors are favored as contact targets. Meanwhile, the minimum convergence time depends non-monotonically on degree-degree correlation, and moderate correlation coefficients result in most efficient info...

  15. Neural Network-Based Segmentation of Textures Using Gabor Features

    OpenAIRE

    Ramakrishnan, AG; Raja, Kumar S; Ram, Ragu HV

    2002-01-01

    The effectiveness of Gabor filters for texture segmentation is well known. In this paper, we propose a texture identification scheme, based on a neural network (NN) using Gabor features. The features are derived from both the Gabor cosine and sine filters. Through experiments, we demonstrate the effectiveness of a NN based classifier using Gabor features for identifying textures in a controlled environment. The neural network used for texture identification is based on the multilayer perceptr...

  16. Acceleration-Based Running Intensities of Professional Rugby League Match Play.

    Science.gov (United States)

    Delaney, Jace A; Duthie, Grant M; Thornton, Heidi R; Scott, Tannath J; Gay, David; Dascombe, Ben J

    2016-09-01

    Rugby league involves frequent periods of high-intensity running including acceleration and deceleration efforts, often occurring at low speeds. To quantify the energetic cost of running and acceleration efforts during rugby league competition to aid in prescription and monitoring of training. Global positioning system (GPS) data were collected from 37 professional rugby league players across 2 seasons. Peak values for relative distance, average acceleration/deceleration, and metabolic power (Pmet) were calculated for 10 different moving-average durations (1-10 min) for each position. A mixed-effects model was used to assess the effect of position for each duration, and individual comparisons were made using a magnitude-based-inference network. There were almost certainly large differences in relative distance and Pmet between the 10-min window and all moving averages <5 min in duration (ES = 1.21-1.88). Fullbacks, halves, and hookers covered greater relative distances than outside backs, edge forwards, and middle forwards for moving averages lasting 2-10 min. Acceleration/deceleration demands were greatest in hookers and halves compared with fullbacks, middle forwards, and outside backs. Pmet was greatest in hookers, halves, and fullbacks compared with middle forwards and outside backs. Competition running intensities varied by both position and moving-average duration. Hookers exhibited the greatest Pmet of all positions, due to high involvement in both attack and defense. Fullbacks also reached high Pmet, possibly due to a greater absolute volume of running. This study provides coaches with match data that can be used for the prescription and monitoring of specific training drills.

  17. [Health care based on cooperation between professionals and affected people].

    Science.gov (United States)

    Muriel-Fernández, Rafael; García-Domínguez, José-Miguel; Rodríguez-Gómez, Susana; Sagués-Amadó, Antonio

    2016-01-01

    The purpose of this article is to support the need for a change of care, based on cooperation between those who provide care and those who receive it. This article develops the decisive factors for change: the investee cooperation, the reference in case management, the concept of recovery and terminal care, the reduction of suffering and the value of change reflected in the 'win-win'. In each of them a questioning of the current situation, a methodological analysis and an input of tools and consequences of the change is made. To conclude, the article incorporates the 'itinerary of shared care' as a resource and one of the ways to bring these changes to the reality of day-to-day care. Copyright © 2015 Elsevier España, S.L.U. All rights reserved.

  18. Identifying key nodes in multilayer networks based on tensor decomposition

    Science.gov (United States)

    Wang, Dingjie; Wang, Haitao; Zou, Xiufen

    2017-06-01

    The identification of essential agents in multilayer networks characterized by different types of interactions is a crucial and challenging topic, one that is essential for understanding the topological structure and dynamic processes of multilayer networks. In this paper, we use the fourth-order tensor to represent multilayer networks and propose a novel method to identify essential nodes based on CANDECOMP/PARAFAC (CP) tensor decomposition, referred to as the EDCPTD centrality. This method is based on the perspective of multilayer networked structures, which integrate the information of edges among nodes and links between different layers to quantify the importance of nodes in multilayer networks. Three real-world multilayer biological networks are used to evaluate the performance of the EDCPTD centrality. The bar chart and ROC curves of these multilayer networks indicate that the proposed approach is a good alternative index to identify real important nodes. Meanwhile, by comparing the behavior of both the proposed method and the aggregated single-layer methods, we demonstrate that neglecting the multiple relationships between nodes may lead to incorrect identification of the most versatile nodes. Furthermore, the Gene Ontology functional annotation demonstrates that the identified top nodes based on the proposed approach play a significant role in many vital biological processes. Finally, we have implemented many centrality methods of multilayer networks (including our method and the published methods) and created a visual software based on the MATLAB GUI, called ENMNFinder, which can be used by other researchers.

  19. Connected Dominating Set Based Topology Control in Wireless Sensor Networks

    Science.gov (United States)

    He, Jing

    2012-01-01

    Wireless Sensor Networks (WSNs) are now widely used for monitoring and controlling of systems where human intervention is not desirable or possible. Connected Dominating Sets (CDSs) based topology control in WSNs is one kind of hierarchical method to ensure sufficient coverage while reducing redundant connections in a relatively crowded network.…

  20. The harmonics detection method based on neural network applied ...

    African Journals Online (AJOL)

    user

    Consequently, many structures based on artificial neural network (ANN) have been developed in the literature, The most significant ... Keywords: Artificial Neural Networks (ANN), p-q theory, (SAPF), Harmonics, Total Harmonic Distortion. 1. ..... and pure shunt active fitters, IEEE 38th Conf on Industry Applications, Vol. 2, pp.

  1. Distributed network generation based on preferential attachment in ABS

    NARCIS (Netherlands)

    K. Azadbakht (Keyvan); N. Bezirgiannis (Nikolaos); F.S. de Boer (Frank)

    2017-01-01

    textabstractGeneration of social networks using Preferential Attachment (PA) mechanism is proposed in the Barabasi-Albert model. In this mechanism, new nodes are introduced to the network sequentially and they attach to the existing nodes preferentially where the preference can be based on the

  2. Optical-Correlator Neural Network Based On Neocognitron

    Science.gov (United States)

    Chao, Tien-Hsin; Stoner, William W.

    1994-01-01

    Multichannel optical correlator implements shift-invariant, high-discrimination pattern-recognizing neural network based on paradigm of neocognitron. Selected as basic building block of this neural network because invariance under shifts is inherent advantage of Fourier optics included in optical correlators in general. Neocognitron is conceptual electronic neural-network model for recognition of visual patterns. Multilayer processing achieved by iteratively feeding back output of feature correlator to input spatial light modulator and updating Fourier filters. Neural network trained by use of characteristic features extracted from target images. Multichannel implementation enables parallel processing of large number of selected features.

  3. Two port network analysis for three impedance based oscillators

    KAUST Repository

    Said, Lobna A.

    2011-12-01

    Two-port network representations are applied to analyze complex networks which can be dissolved into sub-networks connected in series, parallel or cascade. In this paper, the concept of two-port network has been studied for oscillators. Three impedance oscillator based on two port concept has been analyzed using different impedance structures. The effect of each structure on the oscillation condition and the frequency of oscillation have been introduced. Two different implementations using MOS and BJT have been introduced. © 2011 IEEE.

  4. Material procedure quality forecast based on genetic BP neural network

    Science.gov (United States)

    Zheng, Bao-Hua

    2017-07-01

    Material procedure quality forecast plays an important role in quality control. This paper proposes a prediction model based on genetic algorithm (GA) and back propagation (BP) neural network. It can obtain the initial weights and thresholds of optimized BP neural network with the GA global search ability. A material process quality prediction model with the optimized BP neural network is adopted to predict the error of future process to measure the accuracy of process quality. The results show that the proposed method has the advantages of high accuracy and fast convergence rate compared with BP neural network.

  5. Epidemic spreading on networks based on stress response

    Science.gov (United States)

    Nian, Fuzhong; Yao, Shuanglong

    2017-06-01

    Based on the stress responses of individuals, the susceptible-infected-susceptible epidemic model was improved on the small-world networks and BA scale-free networks and the simulations were implemented and analyzed. Results indicate that the behaviors of individual’s stress responses could induce the epidemic spreading resistance and adaptation at the network level. This phenomenon showed that networks were learning how to adapt to the disease and the evolution process could improve their immunization to future infectious diseases and would effectively prevent the spreading of infectious diseases.

  6. An image segmentation method based on network clustering model

    Science.gov (United States)

    Jiao, Yang; Wu, Jianshe; Jiao, Licheng

    2018-01-01

    Network clustering phenomena are ubiquitous in nature and human society. In this paper, a method involving a network clustering model is proposed for mass segmentation in mammograms. First, the watershed transform is used to divide an image into regions, and features of the image are computed. Then a graph is constructed from the obtained regions and features. The network clustering model is applied to realize clustering of nodes in the graph. Compared with two classic methods, the algorithm based on the network clustering model performs more effectively in experiments.

  7. Peculiarities of Professional Training Standards Development and Implementation within Competency-Based Approach: Foreign Experience

    Directory of Open Access Journals (Sweden)

    Desyatov Tymofiy

    2015-12-01

    Full Text Available The article analyzes the development of competency-based professional training standards and their implementation into educational process in foreign countries. It determines that the main idea of competency-based approach is competency-and-active learning, which aims at complex acquirement of diverse skills and ways of practice activities via mastering respective competences. The article states that competency is the product of competence due to which a person successfully realizes themselves in different spheres of their professional engagement, gains social independence and becomes mobile and qualified. The article also dwells on the international experience of professional and training standards development, it analyses specific internal national, as well as external all-European and worldwide conceptions of professional and training standards development, conceptual foundations of competency-based approach in national higher education within the framework of global information society formation. It highlights specific aspects of standards development based on activity-oriented technologies and professional competence assessment. The article states that within the framework of competency-based teaching and training, quality-assuring actions have to ensure the correspondence of standards and learning outcomes. It informs that the labour market is represented by employers, trade unions and the government. The article explores the fact that in Russia, Ukraine and many other countries the employers and the trade unions do not collaborate to formulate their needs with regard to professional training standards, that is why the government and its administration bodies have to do the task of predicting labour market needs on their own.

  8. TRICALCAR : Weaving Community Based Wireless Networks in ...

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

    This grant will support a capacity-building and applied research project on community wireless networking in Latin America and the Caribbean (LAC). Researchers will review, update and adapt 18 existing online thematic modules, and design seven new ones. A group of wireless experts with expertise in the social impacts ...

  9. Based on BP Neural Network Stock Prediction

    Science.gov (United States)

    Liu, Xiangwei; Ma, Xin

    2012-01-01

    The stock market has a high profit and high risk features, on the stock market analysis and prediction research has been paid attention to by people. Stock price trend is a complex nonlinear function, so the price has certain predictability. This article mainly with improved BP neural network (BPNN) to set up the stock market prediction model, and…

  10. Social networking for web-based communities

    NARCIS (Netherlands)

    Issa, T.; Kommers, Petrus A.M.

    2013-01-01

    In the 21st century, a new technology was introduced to facilitate communication, collaboration, and interaction between individuals and businesses. This technology is called social networking; this technology is now part of Internet commodities like email, browsing and blogging. From the 20th

  11. Hybrid network defense model based on fuzzy evaluation.

    Science.gov (United States)

    Cho, Ying-Chiang; Pan, Jen-Yi

    2014-01-01

    With sustained and rapid developments in the field of information technology, the issue of network security has become increasingly prominent. The theme of this study is network data security, with the test subject being a classified and sensitive network laboratory that belongs to the academic network. The analysis is based on the deficiencies and potential risks of the network's existing defense technology, characteristics of cyber attacks, and network security technologies. Subsequently, a distributed network security architecture using the technology of an intrusion prevention system is designed and implemented. In this paper, first, the overall design approach is presented. This design is used as the basis to establish a network defense model, an improvement over the traditional single-technology model that addresses the latter's inadequacies. Next, a distributed network security architecture is implemented, comprising a hybrid firewall, intrusion detection, virtual honeynet projects, and connectivity and interactivity between these three components. Finally, the proposed security system is tested. A statistical analysis of the test results verifies the feasibility and reliability of the proposed architecture. The findings of this study will potentially provide new ideas and stimuli for future designs of network security architecture.

  12. Physical parameters collection based on wireless senor network

    Science.gov (United States)

    Chen, Xin; Wu, Hong; Ji, Lei

    2013-12-01

    With the development of sensor technology, wireless senor network has been applied in the medical, military, entertainment field and our daily life. But the existing available wireless senor networks applied in human monitoring system still have some problems, such as big power consumption, low security and so on. To improve senor network applied in health monitoring system, the paper introduces a star wireless senor networks based on msp430 and DSP. We design a low-cost heart-rate monitor senor node. The communication between senor node and sink node is realized according to the newest protocol proposed by the IEEE 802.15.6 Task Group. This wireless senor network will be more energy-efficient and faster compared to traditional senor networks.

  13. Access Network Selection Based on Fuzzy Logic and Genetic Algorithms

    Directory of Open Access Journals (Sweden)

    Mohammed Alkhawlani

    2008-01-01

    Full Text Available In the next generation of heterogeneous wireless networks (HWNs, a large number of different radio access technologies (RATs will be integrated into a common network. In this type of networks, selecting the most optimal and promising access network (AN is an important consideration for overall networks stability, resource utilization, user satisfaction, and quality of service (QoS provisioning. This paper proposes a general scheme to solve the access network selection (ANS problem in the HWN. The proposed scheme has been used to present and design a general multicriteria software assistant (SA that can consider the user, operator, and/or the QoS view points. Combined fuzzy logic (FL and genetic algorithms (GAs have been used to give the proposed scheme the required scalability, flexibility, and simplicity. The simulation results show that the proposed scheme and SA have better and more robust performance over the random-based selection.

  14. Rumor Diffusion in an Interests-Based Dynamic Social Network

    Directory of Open Access Journals (Sweden)

    Mingsheng Tang

    2013-01-01

    Full Text Available To research rumor diffusion in social friend network, based on interests, a dynamic friend network is proposed, which has the characteristics of clustering and community, and a diffusion model is also proposed. With this friend network and rumor diffusion model, based on the zombie-city model, some simulation experiments to analyze the characteristics of rumor diffusion in social friend networks have been conducted. The results show some interesting observations: (1 positive information may evolve to become a rumor through the diffusion process that people may modify the information by word of mouth; (2 with the same average degree, a random social network has a smaller clustering coefficient and is more beneficial for rumor diffusion than the dynamic friend network; (3 a rumor is spread more widely in a social network with a smaller global clustering coefficient than in a social network with a larger global clustering coefficient; and (4 a network with a smaller clustering coefficient has a larger efficiency.

  15. Evaluating conducting network based transparent electrodes from geometrical considerations

    Energy Technology Data Exchange (ETDEWEB)

    Kumar, Ankush [Chemistry and Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, 560064 Bangalore (India); Kulkarni, G. U., E-mail: guk@cens.res.in [Centre for Nano and Soft Matter Sciences, 560013 Bangalore (India)

    2016-01-07

    Conducting nanowire networks have been developed as viable alternative to existing indium tin oxide based transparent electrode (TE). The nature of electrical conduction and process optimization for electrodes have gained much from the theoretical models based on percolation transport using Monte Carlo approach and applying Kirchhoff's law on individual junctions and loops. While most of the literature work pertaining to theoretical analysis is focussed on networks obtained from conducting rods (mostly considering only junction resistance), hardly any attention has been paid to those made using template based methods, wherein the structure of network is neither similar to network obtained from conducting rods nor similar to well periodic geometry. Here, we have attempted an analytical treatment based on geometrical arguments and applied image analysis on practical networks to gain deeper insight into conducting networked structure particularly in relation to sheet resistance and transmittance. Many literature examples reporting networks with straight or curvilinear wires with distributions in wire width and length have been analysed by treating the networks as two dimensional graphs and evaluating the sheet resistance based on wire density and wire width. The sheet resistance values from our analysis compare well with the experimental values. Our analysis on various examples has revealed that low sheet resistance is achieved with high wire density and compactness with straight rather than curvilinear wires and with narrower wire width distribution. Similarly, higher transmittance for given sheet resistance is possible with narrower wire width but of higher thickness, minimal curvilinearity, and maximum connectivity. For the purpose of evaluating active fraction of the network, the algorithm was made to distinguish and quantify current carrying backbone regions as against regions containing only dangling or isolated wires. The treatment can be helpful in

  16. Bioinspired evolutionary algorithm based for improving network coverage in wireless sensor networks.

    Science.gov (United States)

    Abbasi, Mohammadjavad; Bin Abd Latiff, Muhammad Shafie; Chizari, Hassan

    2014-01-01

    Wireless sensor networks (WSNs) include sensor nodes in which each node is able to monitor the physical area and send collected information to the base station for further analysis. The important key of WSNs is detection and coverage of target area which is provided by random deployment. This paper reviews and addresses various area detection and coverage problems in sensor network. This paper organizes many scenarios for applying sensor node movement for improving network coverage based on bioinspired evolutionary algorithm and explains the concern and objective of controlling sensor node coverage. We discuss area coverage and target detection model by evolutionary algorithm.

  17. Consensus-Based Cooperative Control Based on Pollution Sensing and Traffic Information for Urban Traffic Networks

    National Research Council Canada - National Science Library

    Antonio Artuñedo; Raúl M del Toro; Rodolfo E Haber

    2017-01-01

    .... The interconnected traffic lights controller (TLC) network adapts traffic lights cycles, based on traffic and air pollution sensory information, in order to improve the performance of urban traffic networks...

  18. Defining the Industrial and Engineering Management Professional Profile: a longitudinal study based on job advertisements

    Directory of Open Access Journals (Sweden)

    Rui Manuel Lima

    Full Text Available Abstract The engineering professional profiles have been discussed by several branches of the engineering field. On the one hand, this discussion helps to understand the professional practice and contributes to the specification of the competences that are suitable for each function and company culture. On the other hand, it is an essential starting point for the definition of curricula in engineering schools. Thus, this study aims to characterize, in an innovative way based on job advertisements, the demand for competences and areas of practice for Industrial Engineering and Management contributing for the definition of a professional profile. This characterization is based on the analysis of 1391 job advertisements, collected during seven years from a Portuguese newspaper. The data analysis takes into account the job description in which two categories were considered: areas of professional practice (e.g. project management and transversal competences (e.g. teamwork. Considering the total number of job advertisements, it was possible to identify 1,962 cumulative references for 11 professional practice areas and 5,261 cumulative references for transversal competences. The contribution of this study lies on the identification of the main areas of practice and the main transversal competences demanded by employers.

  19. Enhancing Pedagogical Content Knowledge in a Collaborative School-Based Professional Development Program for Inquiry-Based Science Teaching

    Science.gov (United States)

    Lee, Yeung-Chung

    2011-01-01

    This study reports on the trial of a school-based professional development process aimed at helping science teachers improve their inquiry-based science teaching skills. This process focuses on developing the pedagogical content knowledge of teachers through peer collaboration, under the guidance of a teacher educator. A multi-method interpretive…

  20. Professional Task-Based Curriculum Development for Distance Education Practitioners at Master's Level: A Design-Based Research

    Science.gov (United States)

    Feng, Xiaoying; Lu, Guangxin; Yao, Zhihong

    2015-01-01

    Curriculum development for distance education (DE) practitioners is more and more focusing on practical requirements and competence development. Delphi and DACUM methods have been used at some universities. However, in the competency-based development area, these methods have been taken over by professional-task-based development in the last…

  1. Software-defined Radio Based Measurement Platform for Wireless Networks.

    Science.gov (United States)

    Chao, I-Chun; Lee, Kang B; Candell, Richard; Proctor, Frederick; Shen, Chien-Chung; Lin, Shinn-Yan

    2015-10-01

    End-to-end latency is critical to many distributed applications and services that are based on computer networks. There has been a dramatic push to adopt wireless networking technologies and protocols (such as WiFi, ZigBee, WirelessHART, Bluetooth, ISA100.11a, etc.) into time-critical applications. Examples of such applications include industrial automation, telecommunications, power utility, and financial services. While performance measurement of wired networks has been extensively studied, measuring and quantifying the performance of wireless networks face new challenges and demand different approaches and techniques. In this paper, we describe the design of a measurement platform based on the technologies of software-defined radio (SDR) and IEEE 1588 Precision Time Protocol (PTP) for evaluating the performance of wireless networks.

  2. Quantifying immediate price impact of trades based on the k-shell decomposition of stock trading networks

    Science.gov (United States)

    Xie, Wen-Jie; Li, Ming-Xia; Xu, Hai-Chuan; Chen, Wei; Zhou, Wei-Xing; Stanley, H. Eugene

    2016-10-01

    Traders in a stock market exchange stock shares and form a stock trading network. Trades at different positions of the stock trading network may contain different information. We construct stock trading networks based on the limit order book data and classify traders into k classes using the k-shell decomposition method. We investigate the influences of trading behaviors on the price impact by comparing a closed national market (A-shares) with an international market (B-shares), individuals and institutions, partially filled and filled trades, buyer-initiated and seller-initiated trades, and trades at different positions of a trading network. Institutional traders professionally use some trading strategies to reduce the price impact and individuals at the same positions in the trading network have a higher price impact than institutions. We also find that trades in the core have higher price impacts than those in the peripheral shell.

  3. Design, Implementation and Optimization of Innovative Internet Access Networks, based on Fog Computing and Software Defined Networking

    OpenAIRE

    Iotti, Nicola

    2017-01-01

    1. DESIGN In this dissertation we introduce a new approach to Internet access networks in public spaces, such as Wi-Fi network commonly known as Hotspot, based on Fog Computing (or Edge Computing), Software Defined Networking (SDN) and the deployment of Virtual Machines (VM) and Linux containers, on the edge of the network. In this vision we deploy specialized network elements, called Fog Nodes, on the edge of the network, able to virtualize the physical infrastructure and expose APIs to e...

  4. An FPGA-based torus communication network

    Energy Technology Data Exchange (ETDEWEB)

    Pivanti, Marcello; Schifano, Sebastiano Fabio [INFN, Ferrara (Italy); Ferrara Univ. (Italy); Simma, Hubert [DESY, Zeuthen (Germany). John von Neumann-Institut fuer Computing NIC

    2011-02-15

    We describe the design and FPGA implementation of a 3D torus network (TNW) to provide nearest-neighbor communications between commodity multi-core processors. The aim of this project is to build up tightly interconnected and scalable parallel systems for scientific computing. The design includes the VHDL code to implement on latest FPGA devices a network processor, which can be accessed by the CPU through a PCIe interface and which controls the external PHYs of the physical links. Moreover, a Linux driver and a library implementing custom communication APIs are provided. The TNW has been successfully integrated in two recent parallel machine projects, QPACE and AuroraScience. We describe some details of the porting of the TNW for the AuroraScience system and report performance results. (orig.)

  5. Network-based in silico drug efficacy screening

    National Research Council Canada - National Science Library

    Guney, Emre; Menche, Jörg; Vidal, Marc; Barábasi, Albert-László

    2016-01-01

    .... Here, we take advantage of our increasing understanding of the network-based origins of diseases to introduce a drug-disease proximity measure that quantifies the interplay between drugs targets and diseases...

  6. Interpenetrating polymer network hydrogels based on polysaccharides for biomedical applications

    NARCIS (Netherlands)

    Pescosolido, L.

    2011-01-01

    The main theme of this thesis is the development and the characterization of interpenetrating polymer network hydrogels (IPNs) based on biodegradable and biocompatible polysaccharides, in particular alginate, hyaluronic acid and dextran. The suitability of these novel systems as pharmaceutical and

  7. Ionic liquid based multifunctional double network gel

    Science.gov (United States)

    Ahmed, Kumkum; Higashihara, Tomoya; Arafune, Hiroyuki; Kamijo, Toshio; Morinaga, Takashi; Sato, Takaya; Furukawa, Hidemitsu

    2015-04-01

    Gels are a promising class of soft and wet materials with diverse application in tissue engineering and bio-medical purpose. In order to accelerate the development of gels, it is required to synthesize multi-functional gels of high mechanical strength, ultra low surface friction and suitable elastic modulus with a variety of methods and new materials. Among many types of gel ionic gel made from ionic liquids (ILs) could be used for diverse applications in electrochemical devices and in the field of tribology. IL, a promising materials for lubrication, is a salt with a melting point lower than 100 °C. As a lubricant, ILs are characterized by an extremely low vapor pressure, high thermal stability and high ion conductivity. In this work a novel approach of making double network DN ionic gel using IL has been made utilizing photo polymerization process. A hydrophobic monomer Methyl methacrylate (MMA) has been used as a first network and a hydrophobic IL monomer, N,N-diethyl-N-(2-mthacryloylethyl)-N-methylammonium bistrifluoromethylsulfonyl)imide (DEMM-TFSI) has been used as a second network using photo initiator benzophenon and crosslinker triethylene glycol dimethacrylate (TEGDMA). The resulting DN ionic gel shows transparency, flexibility, high thermal stability, good mechanical toughness and low friction coefficient value which can be a potential candidate as a gel slider in different mechanical devices and can open a new area in the field of gel tribology.

  8. NETWORK-CENTRIC WARFARE AND SOME PARTICULAR ASPECTS OF LOGISTICS BASED ON NETWORKING

    Directory of Open Access Journals (Sweden)

    Petrişor JALBĂ

    2015-04-01

    Full Text Available Within the framework of the current revolution in military affairs, at the End of the Cold War a new concept was born: the concept of War Based on Computer Networking or NCW Network Centric-Warfare which was established as a central element of modern military operations. Determined by theprogress recorded in the field of communication systems of all types, technology of information (HI-Tech, IT, war based on computer networking brings a change in the war paradigm and its inherent components In this respect, logistics based on computer networking represents one of the ways in which the reality of the battlefield is preserved which enhances the joint perspective upon the military forces.

  9. MIH based mobility for TETRA-LTE network

    DEFF Research Database (Denmark)

    Popovska Avramova, Andrijana

    2013-01-01

    TETRA is a digital trunked mobile radio standard, devel- oped to meet the needs of traditional Professional Mobile Radio user or-ganizations. As TETRA does not provide for broadband services, many companies are looking into integration of LTE and TETRA in order to provide support for real time...... multimedia services. Fast handover among these networks is paramount for mission critical applications. Therefore this paper explores the possibilities and advantages of using the Media Independent Handover, an IEEE standard, in improving the handover performance in a TETRA-LTE heterogeneous environment...

  10. Content-Based Multi-Channel Network Coding Algorithm in the Millimeter-Wave Sensor Network.

    Science.gov (United States)

    Lin, Kai; Wang, Di; Hu, Long

    2016-07-01

    With the development of wireless technology, the widespread use of 5G is already an irreversible trend, and millimeter-wave sensor networks are becoming more and more common. However, due to the high degree of complexity and bandwidth bottlenecks, the millimeter-wave sensor network still faces numerous problems. In this paper, we propose a novel content-based multi-channel network coding algorithm, which uses the functions of data fusion, multi-channel and network coding to improve the data transmission; the algorithm is referred to as content-based multi-channel network coding (CMNC). The CMNC algorithm provides a fusion-driven model based on the Dempster-Shafer (D-S) evidence theory to classify the sensor nodes into different classes according to the data content. By using the result of the classification, the CMNC algorithm also provides the channel assignment strategy and uses network coding to further improve the quality of data transmission in the millimeter-wave sensor network. Extensive simulations are carried out and compared to other methods. Our simulation results show that the proposed CMNC algorithm can effectively improve the quality of data transmission and has better performance than the compared methods.

  11. Design and Simulation Analysis for Integrated Vehicle Chassis-Network Control System Based on CAN Network

    Directory of Open Access Journals (Sweden)

    Wei Yu

    2016-01-01

    Full Text Available Due to the different functions of the system used in the vehicle chassis control, the hierarchical control strategy also leads to many kinds of the network topology structure. According to the hierarchical control principle, this research puts forward the integrated control strategy of the chassis based on supervision mechanism. The purpose is to consider how the integrated control architecture affects the control performance of the system after the intervention of CAN network. Based on the principle of hierarchical control and fuzzy control, a fuzzy controller is designed, which is used to monitor and coordinate the ESP, AFS, and ARS. And the IVC system is constructed with the upper supervisory controller and three subcontrol systems on the Simulink platform. The network topology structure of IVC is proposed, and the IVC communication matrix based on CAN network communication is designed. With the common sensors and the subcontrollers as the CAN network independent nodes, the network induced delay and packet loss rate on the system control performance are studied by simulation. The results show that the simulation method can be used for designing the communication network of the vehicle.

  12. Content-Based Multi-Channel Network Coding Algorithm in the Millimeter-Wave Sensor Network

    Directory of Open Access Journals (Sweden)

    Kai Lin

    2016-07-01

    Full Text Available With the development of wireless technology, the widespread use of 5G is already an irreversible trend, and millimeter-wave sensor networks are becoming more and more common. However, due to the high degree of complexity and bandwidth bottlenecks, the millimeter-wave sensor network still faces numerous problems. In this paper, we propose a novel content-based multi-channel network coding algorithm, which uses the functions of data fusion, multi-channel and network coding to improve the data transmission; the algorithm is referred to as content-based multi-channel network coding (CMNC. The CMNC algorithm provides a fusion-driven model based on the Dempster-Shafer (D-S evidence theory to classify the sensor nodes into different classes according to the data content. By using the result of the classification, the CMNC algorithm also provides the channel assignment strategy and uses network coding to further improve the quality of data transmission in the millimeter-wave sensor network. Extensive simulations are carried out and compared to other methods. Our simulation results show that the proposed CMNC algorithm can effectively improve the quality of data transmission and has better performance than the compared methods.

  13. Web-Based SBIRT Skills Training for Health Professional Students and Primary Care Providers

    Science.gov (United States)

    Tanner, T. Bradley; Wilhelm, Susan E.; Rossie, Karen M.; Metcalf, Mary P.

    2012-01-01

    The authors have developed and assessed 2 innovative, case-based, interactive training programs on substance abuse, one for health professional students on alcohol and one for primary care providers on screening, brief intervention, and referral to treatment (SBIRT). Both programs build skills in substance abuse SBIRT. Real-world effectiveness…

  14. Embedded Professional Development and Classroom-Based Early Reading Intervention: Early Diagnostic Reading Intervention through Coaching

    Science.gov (United States)

    Amendum, Steven J.

    2014-01-01

    The purpose of the current mixed-methods study was to investigate a model of professional development and classroom-based early reading intervention implemented by the 1st-grade teaching team in a large urban/suburban school district in the southeastern United States. The intervention provided teachers with ongoing embedded professional…

  15. Science Teachers' Meaning-Making When Involved in a School-Based Professional Development Project

    Science.gov (United States)

    Nielsen, Birgitte Lund

    2012-01-01

    A group of teachers' meaning-making when they are collaboratively analyzing artifacts from practice in local science classrooms in a school-based professional development (PD) project is examined through repeated interviews and represented as meaning-making maps. The interpretation of the teachers' meaning-making includes both their reference to…

  16. Adult Professional Development: Can Brain-Based Teaching Strategies Increase Learning Effectiveness?

    Science.gov (United States)

    Tilton, Wendy

    2011-01-01

    Brain-based teaching strategies, compared to facilitative student-centered teaching strategies, were employed with 62 real estate professionals in a quasi-mixed-methods study. Participants attended a 2-day proprietary real estate continuing education course. Both the experimental and control groups received the same facilitative instruction, as…

  17. The Impact of School-Based Management on Supervision Instructors' Professional Considerations.

    Science.gov (United States)

    Nir, Adam E.

    2003-01-01

    Examined how the introduction of school-based management (SBM) in Israeli schools and the authority thereby delegated to principals to hire and dismiss supervision instructors (professional development experts) have changed these instructors' role expectations and job conflict. Found that the discrepancy among role expectations increased, as did…

  18. Purpose-Built, Web-Based Professional Portfolios: Reflective, Developmental and Showcase

    Science.gov (United States)

    Blackley, Susan; Bennett, Dawn; Sheffield, Rachel

    2017-01-01

    This pilot study examined student engagement with a web-based digital professional portfolio through the 3C process of collect-critique-curate. To overcome common problems associated with electronic portfolios, including cost; specificity; lifelong access; and ease of use, the study used "Weebly" as its portfolio platform. The creation…

  19. Interaction Analysis in a "Learning by Doing" Problem-Based Professional Development Context

    Science.gov (United States)

    Donnelly, Roisin

    2010-01-01

    This paper explores the concept and practice of interaction within a blended problem-based learning (PBL) module for academic professional development in higher education. A qualitative study spanning two years of the lived experiences of 17 academic staff in a blended PBL module was considered likely to provide a much-needed analysis of current…

  20. Collaborative Professional Learning through Lesson Study: Identifying the Challenges of Inquiry-Based Teaching

    Science.gov (United States)

    Gutierez, Sally Baricaua

    2015-01-01

    In the Philippines, inquiry-based teaching has been promoted and implemented together with recently instigated curriculum reforms. Serious teacher professional development efforts are being used extensively to properly orient and present the benefits of inquirybased teaching. Despite these efforts, there still exists a big gap in the effective…

  1. Functional Competency Development Model for Academic Personnel Based on International Professional Qualification Standards in Computing Field

    Science.gov (United States)

    Tumthong, Suwut; Piriyasurawong, Pullop; Jeerangsuwan, Namon

    2016-01-01

    This research proposes a functional competency development model for academic personnel based on international professional qualification standards in computing field and examines the appropriateness of the model. Specifically, the model consists of three key components which are: 1) functional competency development model, 2) blended training…

  2. A Framework for Synchronous Web-Based Professional Development: Measuring the Impact of Webinar Instruction

    Science.gov (United States)

    Rich, Rachel L.

    2011-01-01

    Through the evolution and proliferation of the Internet, distance and online education have become more prevalent in modern society. Synchronous web-based professional development continues to gain popularity. Although online education has grown in popularity and breadth, there has been a lack of research about the impact of synchronous web-based…

  3. Arizona-Based Special Education Paraeducators and Their Perceptions of Professional Developmental Training

    Science.gov (United States)

    Saldivar-Parra, Maria Anastasia

    2012-01-01

    This dissertation presents the findings of a descriptive, survey-based study of special education paraeducators and their self-reported perceptions about the adequacy of their ongoing professional development training in Arizona school districts. The results show that school districts in Arizona are not spending adequate time in preparing special…

  4. Inhibitors to Responsibility-Based Professional Development with In-Service Teachers

    Science.gov (United States)

    Hemphill, Michael A.

    2015-01-01

    Researchers of continuing professional development (CPD) in physical education have called for new models that move beyond the traditional CPD model. The outcomes of CPD protocols are hard to predict even when they align with the best practices. Responsibility-based CPD has become the focus of recent attention to assist physical educators in…

  5. The Affordances of Case-Based Teaching for the Professional Learning of Student-Teachers

    Science.gov (United States)

    Gravett, Sarah; de Beer, Josef; Odendaal-Kroon, Rika; Merseth, Katherine K.

    2017-01-01

    This paper reports on a qualitative enquiry into the affordances of case-based teaching for the professional learning of student-teachers. The context is a first-year foundational course in a four-year undergraduate teacher education programme, offered by an urban university in Johannesburg, South Africa, with a student enrolment of close to 700…

  6. Evaluating a Professional Development Framework to Empower Chemistry Teachers to Design Context-Based Education

    NARCIS (Netherlands)

    Stolk, M.J.; Bulte, A.M.W.|info:eu-repo/dai/nl/115689001; de Jong, O.|info:eu-repo/dai/nl/074847880; Pilot, A.|info:eu-repo/dai/nl/068350880

    2012-01-01

    Even experienced chemistry teachers require professional development when they are encouraged to become actively engaged in the design of new context-based education. This study briefly describes the development of a framework consisting of goals, learning phases, strategies and instructional

  7. Theory of fractional order elements based impedance matching networks

    KAUST Repository

    Radwan, Ahmed G.

    2011-03-01

    Fractional order circuit elements (inductors and capacitors) based impedance matching networks are introduced for the first time. In comparison to the conventional integer based L-type matching networks, fractional matching networks are much simpler and versatile. Any complex load can be matched utilizing a single series fractional element, which generally requires two elements for matching in the conventional approach. It is shown that all the Smith chart circles (resistance and reactance) are actually pairs of completely identical circles. They appear to be single for the conventional integer order case, where the identical circles completely overlap each other. The concept is supported by design equations and impedance matching examples. © 2010 IEEE.

  8. Networked Learning and Design Based Research for welfare innovation through further education

    DEFF Research Database (Denmark)

    Østergaard, Rina; Sorensen, Elsebeth Korsgaard

    2014-01-01

    This paper sets out on a reflective journey to investigate, theoretically, the potential of a marriage between Networked Learning (NL) and Design Based Research (DBR) (Barab & Squire, 2004) in a creative and innovative pedagogical practice for welfare professionals. With reference to theoretical...... for educational research. The authors of the paper indicate and exemplify how this might be done using the theoretical embroidery of the paper in the light of the model. Finally – on the basis of the methodological and theoretical optic outlined in the paper - the authors point out research questions that may...... help and qualify the development of innovative DBR and NL designs directed towards the future. Assuming the views outlined and promoted in this paper, the authors claim that researchers in the field as well as welfare professionals in pedagogical, social and health areas, must display creative...

  9. How should we foster the professional integrity of engineers in Japan? A pride-based approach.

    Science.gov (United States)

    Iseda, Tetsuji

    2008-06-01

    I discuss the predicament that engineering-ethics education in Japan now faces and propose a solution to this. The predicament is professional motivation, i.e., the problem of how to motivate engineering students to maintain their professional integrity. The special professional responsibilities of engineers are often explained either as an implicit social contract between the profession and society (the "social-contract" view), or as requirements for membership in the profession (the "membership-requirement" view). However, there are empirical data that suggest that such views will not do in Japan, and this is the predicament that confronts us. In this country, the profession of engineering did not exist 10 years ago and is still quite underdeveloped. Engineers in this country do not have privileges, high income, or high social status. Under such conditions, neither the social-contract view nor the membership-requirement view is convincing. As an alternative approach that might work in Japan, I propose a pride-based view. The notion of pride has been analyzed in the virtue-ethics literature, but the full potential of this notion has not been explored. Unlike other kinds of pride, professional pride can directly benefit the general public by motivating engineers to do excellent work even without social rewards, since being proud of themselves is already a reward. My proposal is to foster a particular kind of professional pride associated with the importance of professional services in society, as the motivational basis for professional integrity. There is evidence to suggest that this model works.

  10. A Mobile Network Planning Tool Based on Data Analytics

    Directory of Open Access Journals (Sweden)

    Jessica Moysen

    2017-01-01

    Full Text Available Planning future mobile networks entails multiple challenges due to the high complexity of the network to be managed. Beyond 4G and 5G networks are expected to be characterized by a high densification of nodes and heterogeneity of layers, applications, and Radio Access Technologies (RAT. In this context, a network planning tool capable of dealing with this complexity is highly convenient. The objective is to exploit the information produced by and already available in the network to properly deploy, configure, and optimise network nodes. This work presents such a smart network planning tool that exploits Machine Learning (ML techniques. The proposed approach is able to predict the Quality of Service (QoS experienced by the users based on the measurement history of the network. We select Physical Resource Block (PRB per Megabit (Mb as our main QoS indicator to optimise, since minimizing this metric allows offering the same service to users by consuming less resources, so, being more cost-effective. Two cases of study are considered in order to evaluate the performance of the proposed scheme, one to smartly plan the small cell deployment in a dense indoor scenario and a second one to timely face a detected fault in a macrocell network.

  11. Creative elements: network-based predictions of active centres in proteins, cellular and social networks

    CERN Document Server

    Csermely, Peter

    2008-01-01

    Active centres and hot spots of proteins have a paramount importance in enzyme action, protein complex formation and drug design. Recently a number of publications successfully applied the analysis of residue networks to predict active centres in proteins. Most real-world networks show a number of properties, such as small-worldness or scale-free degree distribution, which are rather general features of networks from molecules to the society. Based on extensive analogies I propose that the existing findings and methodology enable us to detect active centres in cells, social networks and ecosystems. Members of these active centres are creative elements of the respective networks, which may help them to survive unprecedented, novel challenges, and play a key role in the development, survival and evolvability of complex systems.

  12. Event-driven approach of layered multicast to network adaptation in RED-based IP networks

    Science.gov (United States)

    Nahm, Kitae; Li, Qing; Kuo, C.-C. J.

    2003-11-01

    In this work, we investigate the congestion control problem for layered video multicast in IP networks of active queue management (AQM) using a simple random early detection (RED) queue model. AQM support from networks improves the visual quality of video streaming but makes network adaptation more di+/-cult for existing layered video multicast proticols that use the event-driven timer-based approach. We perform a simplified analysis on the response of the RED algorithm to burst traffic. The analysis shows that the primary problem lies in the weak correlation between the network feedback and the actual network congestion status when the RED queue is driven by burst traffic. Finally, a design guideline of the layered multicast protocol is proposed to overcome this problem.

  13. Questioning Care in Mental Health: Professionalization of Home Health Care Based on In Home Therapeutic Services

    Directory of Open Access Journals (Sweden)

    Rachel Gouveia Passos

    2016-04-01

    Full Text Available This article aims to present how to operate home health care practices. It describes  the influence of the experience given by the Italian psychiatric reform in democratic societies, with emphasis on the intervening dimensions and replacement services. The study indicates the guidelines and strategies established for the promotion of health care in individuals under psychological distress in the deinstitutionalization process. It also addresses the professionalization and the performance of caretakers in home services. Based on a review of the literature, this paper poses some questions to guide the ways outlined for the construction and establishment of professional practices by mental health caregivers.

  14. Mutual information-based LPI optimisation for radar network

    Science.gov (United States)

    Shi, Chenguang; Zhou, Jianjiang; Wang, Fei; Chen, Jun

    2015-07-01

    Radar network can offer significant performance improvement for target detection and information extraction employing spatial diversity. For a fixed number of radars, the achievable mutual information (MI) for estimating the target parameters may extend beyond a predefined threshold with full power transmission. In this paper, an effective low probability of intercept (LPI) optimisation algorithm is presented to improve LPI performance for radar network. Based on radar network system model, we first provide Schleher intercept factor for radar network as an optimisation metric for LPI performance. Then, a novel LPI optimisation algorithm is presented, where for a predefined MI threshold, Schleher intercept factor for radar network is minimised by optimising the transmission power allocation among radars in the network such that the enhanced LPI performance for radar network can be achieved. The genetic algorithm based on nonlinear programming (GA-NP) is employed to solve the resulting nonconvex and nonlinear optimisation problem. Some simulations demonstrate that the proposed algorithm is valuable and effective to improve the LPI performance for radar network.

  15. Topological Embedding Feature Based Resource Allocation in Network Virtualization

    Directory of Open Access Journals (Sweden)

    Hongyan Cui

    2014-01-01

    Full Text Available Virtualization provides a powerful way to run multiple virtual networks on a shared substrate network, which needs accurate and efficient mathematical models. Virtual network embedding is a challenge in network virtualization. In this paper, considering the degree of convergence when mapping a virtual network onto substrate network, we propose a new embedding algorithm based on topology mapping convergence-degree. Convergence-degree means the adjacent degree of virtual network’s nodes when they are mapped onto a substrate network. The contributions of our method are as below. Firstly, we map virtual nodes onto the substrate nodes with the maximum convergence-degree. The simulation results show that our proposed algorithm largely enhances the network utilization efficiency and decreases the complexity of the embedding problem. Secondly, we define the load balance rate to reflect the load balance of substrate links. The simulation results show our proposed algorithm achieves better load balance. Finally, based on the feature of star topology, we further improve our embedding algorithm and make it suitable for application in the star topology. The test result shows it gets better performance than previous works.

  16. The competitive dynamics of network-based businesses.

    Science.gov (United States)

    Coyne, K P; Dye, R

    1998-01-01

    Telecommunications carriers, transportation companies, and banks are among the many network-based businesses--companies that move people, goods, or information from various points to various other points. Managers have long assumed that customers valued all links in these networks equally. It was thought that banking customers, for example, sought access to all of the branches throughout the network or that shipping customers wanted to be able to send packages everywhere. Intuitively, managers thought that many of their customers' needs were, in reality, narrower, but they had no way of knowing which links were most important. New computing power and robust mapping software now make it possible to understand network customers better. In applying this technology, the authors, both consultants from McKinsey & Company, have uncovered three distinct usage patterns: one in which all links are, indeed, valued equally; another in which customers concentrate their use in particular zones; and a third in which customers value only individual links. Each of these patterns requires a different strategy to direct executives in making the decisions fundamental to managing any network-based business: whether to open or close outlets, whether to connect their network to others, and how to organize business units so that they reflect the network's structure. Those who don't spot the patterns or understand their strategic implications will find themselves on the losing end of the network battle.

  17. Combining Host-based and network-based intrusion detection system

    African Journals Online (AJOL)

    These attacks were simulated using hping. The proposed system is implemented in Java. The results show that the proposed system is able to detect attacks both from within (host-based) and outside sources (network-based). Key Words: Intrusion Detection System (IDS), Host-based, Network-based, Signature, Security log.

  18. Ecological literacy and beyond: Problem-based learning for future professionals.

    Science.gov (United States)

    Lewinsohn, Thomas M; Attayde, José Luiz; Fonseca, Carlos Roberto; Ganade, Gislene; Jorge, Leonardo Ré; Kollmann, Johannes; Overbeck, Gerhard E; Prado, Paulo Inácio; Pillar, Valério D; Popp, Daniela; da Rocha, Pedro L B; Silva, Wesley Rodrigues; Spiekermann, Annette; Weisser, Wolfgang W

    2015-03-01

    Ecological science contributes to solving a broad range of environmental problems. However, lack of ecological literacy in practice often limits application of this knowledge. In this paper, we highlight a critical but often overlooked demand on ecological literacy: to enable professionals of various careers to apply scientific knowledge when faced with environmental problems. Current university courses on ecology often fail to persuade students that ecological science provides important tools for environmental problem solving. We propose problem-based learning to improve the understanding of ecological science and its usefulness for real-world environmental issues that professionals in careers as diverse as engineering, public health, architecture, social sciences, or management will address. Courses should set clear learning objectives for cognitive skills they expect students to acquire. Thus, professionals in different fields will be enabled to improve environmental decision-making processes and to participate effectively in multidisciplinary work groups charged with tackling environmental issues.

  19. Bridging the Gap from Classroom-based Learning to Experiential Professional Learning: A Hong Kong Case

    Directory of Open Access Journals (Sweden)

    Bertha Du-Babcock

    2016-12-01

    Full Text Available This paper describes and evaluates a funded longitudinal teaching development project that aims to bridge the gap from classroom-based theory learning to experiential professional learning, and thereby prepare ideal and competent world class graduates. To align with the University's shared mission to foster links with the business community, the design of the internship program has a threefold purpose and was implemented in stages. It intends to enhance students' professional awareness-knowledge-skills through a multi-leveled approach integrating classroom learning with professional practice. A debriefing mechanism was also built in enabling students to share their learning and professional challenges, and theory application to problem-solving scenarios. A 360 degree multiple evaluation procedure were used to measure the project effectiveness, including the use of industry consultants, student interns, hosts, and academic supervisors.   The project has proved to promote closer ties with the business community and enhance students' professional competencies to increase future success in the competitive job market. The impact of the internship program is significant in two aspects.  From the perspective of student learning, the internship allows students to understand how they can improve business efficiency by applying communications theories.  From the teaching perspective, the successful and unsuccessful intern experiences can be drawn upon in developing class-room teaching. These lessons can focus on preparing students to solve real-world business communication problems.

  20. Cooperative and Adaptive Network Coding for Gradient Based Routing in Wireless Sensor Networks with Multiple Sinks

    Directory of Open Access Journals (Sweden)

    M. E. Migabo

    2017-01-01

    Full Text Available Despite its low computational cost, the Gradient Based Routing (GBR broadcast of interest messages in Wireless Sensor Networks (WSNs causes significant packets duplications and unnecessary packets transmissions. This results in energy wastage, traffic load imbalance, high network traffic, and low throughput. Thanks to the emergence of fast and powerful processors, the development of efficient network coding strategies is expected to enable efficient packets aggregations and reduce packets retransmissions. For multiple sinks WSNs, the challenge consists of efficiently selecting a suitable network coding scheme. This article proposes a Cooperative and Adaptive Network Coding for GBR (CoAdNC-GBR technique which considers the network density as dynamically defined by the average number of neighbouring nodes, to efficiently aggregate interest messages. The aggregation is performed by means of linear combinations of random coefficients of a finite Galois Field of variable size GF(2S at each node and the decoding is performed by means of Gaussian elimination. The obtained results reveal that, by exploiting the cooperation of the multiple sinks, the CoAdNC-GBR not only improves the transmission reliability of links and lowers the number of transmissions and the propagation latency, but also enhances the energy efficiency of the network when compared to the GBR-network coding (GBR-NC techniques.

  1. Passivity-based control and estimation in networked robotics

    CERN Document Server

    Hatanaka, Takeshi; Fujita, Masayuki; Spong, Mark W

    2015-01-01

    Highlighting the control of networked robotic systems, this book synthesizes a unified passivity-based approach to an emerging cross-disciplinary subject. Thanks to this unified approach, readers can access various state-of-the-art research fields by studying only the background foundations associated with passivity. In addition to the theoretical results and techniques,  the authors provide experimental case studies on testbeds of robotic systems  including networked haptic devices, visual robotic systems,  robotic network systems and visual sensor network systems. The text begins with an introduction to passivity and passivity-based control together with the other foundations needed in this book. The main body of the book consists of three parts. The first examines how passivity can be utilized for bilateral teleoperation and demonstrates the inherent robustness of the passivity-based controller against communication delays. The second part emphasizes passivity’s usefulness for visual feedback control ...

  2. Developing critical reflection for professional practice through problem-based learning.

    Science.gov (United States)

    Williams, B

    2001-04-01

    To explore the influence of current learning traditions in nursing on the development of reflection and critical reflection as professional practice skills and to offer suggestions for nursing education that will specifically facilitate the development of critical reflection. ORGANIZATIONAL CONSTRUCTS: Mezirow's transformative learning theory, Barrows conceptualization of problem-based learning (PBL). Integrative literature review of published literature related to nursing, health science education and professional education from 1983-2000. Professional education scholars concur that specialized knowledge is clearly essential for professional practice, however, they also suggest that self-consciousness (reflection) and continual self-critique (critical reflection) are crucial to continued competence. While strategies to facilitate reflection have been outlined in the literature, specific strategies to facilitate the development of critical reflection and implications for nursing education are much less clear. Advocates of reflective and critically reflective practice suggest that the development of these abilities should be inextricably linked to professional development and can be developed through active repeated guided practice. In health care, PBL based on constructivism, has been identified as one way to facilitate the development of these skills. Nursing learners exposed to PBL develop the ability to be reflective and critically reflective in their learning and acquire the knowledge and skill within the discipline of nursing by encountering key professional practice situations as the stimulus and focus of their classroom learning. The learners' ability to be both reflective and critically reflective in their learning is developed by critical questioning of the faculty tutor during situational analysis, learning need determination, application of knowledge, critique of resources and personal problem-solving processes, and summarization of what was learned.

  3. Efficient Vector-Based Forwarding for Underwater Sensor Networks

    Directory of Open Access Journals (Sweden)

    Peng Xie

    2010-01-01

    Full Text Available Underwater Sensor Networks (UWSNs are significantly different from terrestrial sensor networks in the following aspects: low bandwidth, high latency, node mobility, high error probability, and 3-dimensional space. These new features bring many challenges to the network protocol design of UWSNs. In this paper, we tackle one fundamental problem in UWSNs: robust, scalable, and energy efficient routing. We propose vector-based forwarding (VBF, a geographic routing protocol. In VBF, the forwarding path is guided by a vector from the source to the target, no state information is required on the sensor nodes, and only a small fraction of the nodes is involved in routing. To improve the robustness, packets are forwarded in redundant and interleaved paths. Further, a localized and distributed self-adaptation algorithm allows the nodes to reduce energy consumption by discarding redundant packets. VBF performs well in dense networks. For sparse networks, we propose a hop-by-hop vector-based forwarding (HH-VBF protocol, which adapts the vector-based approach at every hop. We evaluate the performance of VBF and HH-VBF through extensive simulations. The simulation results show that VBF achieves high packet delivery ratio and energy efficiency in dense networks and HH-VBF has high packet delivery ratio even in sparse networks.

  4. FUZZY LOGIC BASED ENERGY EFFICIENT PROTOCOL IN WIRELESS SENSOR NETWORKS

    Directory of Open Access Journals (Sweden)

    Zhan Wei Siew

    2012-12-01

    Full Text Available Wireless sensor networks (WSNs have been vastly developed due to the advances in microelectromechanical systems (MEMS using WSN to study and monitor the environments towards climates changes. In environmental monitoring, sensors are randomly deployed over the interest area to periodically sense the physical environments for a few months or even a year. Therefore, to prolong the network lifetime with limited battery capacity becomes a challenging issue. Low energy adaptive cluster hierarchical (LEACH is the common clustering protocol that aim to reduce the energy consumption by rotating the heavy workload cluster heads (CHs. The CHs election in LEACH is based on probability model which will lead to inefficient in energy consumption due to least desired CHs location in the network. In WSNs, the CHs location can directly influence the network energy consumption and further affect the network lifetime. In this paper, factors which will affect the network lifetime will be presented and the demonstration of fuzzy logic based CH selection conducted in base station (BS will also be carried out. To select suitable CHs that will prolong the network first node dies (FND round and consistent throughput to the BS, energy level and distance to the BS are selected as fuzzy inputs.

  5. GENETIC ALGORITHM BASED CONCEPT DESIGN TO OPTIMIZE NETWORK LOAD BALANCE

    Directory of Open Access Journals (Sweden)

    Ashish Jain

    2012-07-01

    Full Text Available Multiconstraints optimal network load balancing is an NP-hard problem and it is an important part of traffic engineering. In this research we balance the network load using classical method (brute force approach and dynamic programming is used but result shows the limitation of this method but at a certain level we recognized that the optimization of balanced network load with increased number of nodes and demands is intractable using the classical method because the solution set increases exponentially. In such case the optimization techniques like evolutionary techniques can employ for optimizing network load balance. In this paper we analyzed proposed classical algorithm and evolutionary based genetic approach is devise as well as proposed in this paper for optimizing the balance network load.

  6. Incentive-Based Voltage Regulation in Distribution Networks

    Energy Technology Data Exchange (ETDEWEB)

    Dall-Anese, Emiliano [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Baker, Kyri A [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Zhou, Xinyang [University of Colorado; Chen, Lijun [University of Colorado

    2017-07-03

    This paper considers distribution networks fea- turing distributed energy resources, and designs incentive-based mechanisms that allow the network operator and end-customers to pursue given operational and economic objectives, while concurrently ensuring that voltages are within prescribed limits. Two different network-customer coordination mechanisms that require different amounts of information shared between the network operator and end-customers are developed to identify a solution of a well-defined social-welfare maximization prob- lem. Notably, the signals broadcast by the network operator assume the connotation of prices/incentives that induce the end- customers to adjust the generated/consumed powers in order to avoid the violation of the voltage constraints. Stability of the proposed schemes is analytically established and numerically corroborated.

  7. A complex network-based importance measure for mechatronics systems

    Science.gov (United States)

    Wang, Yanhui; Bi, Lifeng; Lin, Shuai; Li, Man; Shi, Hao

    2017-01-01

    In view of the negative impact of functional dependency, this paper attempts to provide an alternative importance measure called Improved-PageRank (IPR) for measuring the importance of components in mechatronics systems. IPR is a meaningful extension of the centrality measures in complex network, which considers usage reliability of components and functional dependency between components to increase importance measures usefulness. Our work makes two important contributions. First, this paper integrates the literature of mechatronic architecture and complex networks theory to define component network. Second, based on the notion of component network, a meaningful IPR is brought into the identifying of important components. In addition, the IPR component importance measures, and an algorithm to perform stochastic ordering of components due to the time-varying nature of usage reliability of components and functional dependency between components, are illustrated with a component network of bogie system that consists of 27 components.

  8. Incentive-Based Voltage Regulation in Distribution Networks: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Xinyang; Chen, Lijun; Dall' Anese, Emiliano; Baker, Kyri

    2017-03-03

    This paper considers distribution networks fea- turing distributed energy resources, and designs incentive-based mechanisms that allow the network operator and end-customers to pursue given operational and economic objectives, while concurrently ensuring that voltages are within prescribed limits. Two different network-customer coordination mechanisms that require different amounts of information shared between the network operator and end-customers are developed to identify a solution of a well-defined social-welfare maximization prob- lem. Notably, the signals broadcast by the network operator assume the connotation of prices/incentives that induce the end- customers to adjust the generated/consumed powers in order to avoid the violation of the voltage constraints. Stability of the proposed schemes is analytically established and numerically corroborated.

  9. Network Security Risk Assessment Based on Item Response Theory

    Directory of Open Access Journals (Sweden)

    Fangwei Li

    2015-08-01

    Full Text Available Owing to the traditional risk assessment method has one-sidedness and is difficult to reflect the real network situation, a risk assessment method based on Item Response Theory (IRT is put forward in network security. First of all, the novel algorithms of calculating the threat of attack and the successful probability of attack are proposed by the combination of IRT model and Service Security Level. Secondly, the service weight of importance is calculated by the three-demarcation analytic hierarchy process. Finally, the risk situation graph of service, host and network logic layer could be generated by the improved method. The simulation results show that this method can be more comprehensive consideration of factors which are affecting network security, and a more realistic network risk situation graph in real-time will be obtained.

  10. Energy savings in mobile broadband network based on load predictions

    DEFF Research Database (Denmark)

    Samulevicius, Saulius; Pedersen, Torben Bach; Sørensen, Troels Bundgaard

    2012-01-01

    in wireless networks. To save energy in MBNs, one of the options is to turn off parts of the network equipment in areas where traffic falls below a specific predefined threshold. This paper looks at a methodology for identifying periods of the day when cells or sites carrying low traffic are candidates...... for being totally or partly switched off, given that the decrease in service quality can be controlled gracefully when the sites are switched off. Based on traffic data from an operational network, potential average energy savings of approximately 30% with some few low traffic cells/sites reaching up to 99......Abstract—The deployment of new network equipment is resulting in increasing energy consumption in mobile broadband networks (MBNs). This contributes to higher CO2 emissions. Over the last 10 years MBNs have grown considerably, and are still growing to meet the evolution in traffic volume carried...

  11. Realization of Broadband Matched Filter Structures Based on Dual Networks

    Directory of Open Access Journals (Sweden)

    M. Gerding

    2005-01-01

    Full Text Available This paper deals with the basic electrical properties of dual networks and with their application in broadband matched filter structures. Starting with the main characteristics and different realization methods of dual networks, a filter structure is presented, which is based on a combination of dual networks and which provides a broadband matched input and two decoupled output ports. This filter synthesis focuses on the design of high pass filters, which are suitable to be used as differentiating stages in electrical pulse generators as a part of the so-called pulse shaping network. In order to achieve a proper pulse shape and for the prevention of multiple reflections between the switching circuit and the differentiating network, a broadband matched filter is a basic requirement.

  12. Development of Novel Random Network Theory-Based Approaches to Identify Network Interactions among Nitrifying Bacteria

    Energy Technology Data Exchange (ETDEWEB)

    Shi, Cindy

    2015-07-17

    The interactions among different microbial populations in a community could play more important roles in determining ecosystem functioning than species numbers and their abundances, but very little is known about such network interactions at a community level. The goal of this project is to develop novel framework approaches and associated software tools to characterize the network interactions in microbial communities based on high throughput, large scale high-throughput metagenomics data and apply these approaches to understand the impacts of environmental changes (e.g., climate change, contamination) on network interactions among different nitrifying populations and associated microbial communities.

  13. Dentists reflect on their problem-based education and professional satisfaction.

    Science.gov (United States)

    Bengmark, D; Nilner, M; Rohlin, M

    2012-02-01

    To determine the way in which Malmö University dental graduates perceive their problem-based dental education and evaluate their professional satisfaction. The first five cohorts (graduating in years 1995-1999) of the problem-based curriculum were invited to participate. Of 166 graduates, 77% responded to a questionnaire comprising 20 questions on aspects of their dental education, professional situations and interest in postgraduate education. They were asked to rank their perception of their dental education and satisfaction with their professional situation on a visual analogue scale (VAS) with endpoints ranging from 'Not at all' (1) to 'Very well' (10). For other statements, the markings were made on a Likert scale from 1 (not important/not satisfied) to 5 (very important/very satisfied). There were also open-ended questions. Most respondents perceived their education to prepare them well for a career in dentistry (median score VAS 8), and 90% rated above six on a VAS for their professional satisfaction as dentists. Importance and satisfaction were highly correlated with principles of the curriculum: holistic view, oral health, lifelong learning, integration between theory and clinic, and clinical competence. Forty-five per cent of the graduates noted the problem-based learning approach as the most valuable asset of their education, and 19% cited training in oral surgery as a deficit. Of the respondents, 77% expressed interest in specialist training and 55% in research education. Problem-based education was perceived to prepare graduates well for their profession, and their professional satisfaction was high. © 2011 John Wiley & Sons A/S.

  14. First Steps Toward K-12 Teacher Professional Development Using Internet-based Telescopes

    Science.gov (United States)

    Berryhill, K. J.; Gershun, D.; Slater, T. F.; Armstrong, J. D.

    2012-12-01

    How can science teachers become more familiar with emerging technology, excite their students and give students a taste of astronomy research? Astronomy teachers do not always have research experience, so it is difficult for them to convey to students how researchers use telescopes. The nature of astronomical observation (e.g., remote sites, expensive equipment, and odd hours) has been a barrier to providing teachers with insight into the process. Robotic telescopes (operated automatically with queued observing schedules) and remotely controlled telescopes (controlled by the user via the Internet) allow scientists to conduct observing sessions on research-grade telescopes half a world away. The same technology can now be harnessed by STEM educators to engage students and reinforce what is being taught in the classroom, as seen in some early research in elementary schools (McKinnon and Mainwaring 2000 and McKinnon and Geissinger 2002), and middle/high schools (Sadler et al. 2001, 2007 and Gehret et al. 2005). However, teachers need to be trained to use these resources. Responding to this need, graduate students and faculty at the University of Wyoming and CAPER Center for Astronomy & Physics Education Research are developing teacher professional development programs using Internet-based telescopes. We conducted an online course in the science education graduate program at the University of Wyoming. This course was designed to sample different types of Internet-based telescopes to evaluate them as resources for teacher professional development. The 10 participants were surveyed at the end of the course to assess their experiences with each activity. In addition, pre-test/post-test data were collected focusing specifically on one of the telescopes (Gershun, Berryhill and Slater 2012). Throughout the course, the participants learned to use a variety of robotic and remote telescopes including SLOOH Space Camera (www.slooh.com), Sky Titan Observatory (www

  15. VoIP attacks detection engine based on neural network

    Science.gov (United States)

    Safarik, Jakub; Slachta, Jiri

    2015-05-01

    The security is crucial for any system nowadays, especially communications. One of the most successful protocols in the field of communication over IP networks is Session Initiation Protocol. It is an open-source project used by different kinds of applications, both open-source and proprietary. High penetration and text-based principle made SIP number one target in IP telephony infrastructure, so security of SIP server is essential. To keep up with hackers and to detect potential malicious attacks, security administrator needs to monitor and evaluate SIP traffic in the network. But monitoring and following evaluation could easily overwhelm the security administrator in networks, typically in networks with a number of SIP servers, users and logically or geographically separated networks. The proposed solution lies in automatic attack detection systems. The article covers detection of VoIP attacks through a distributed network of nodes. Then the gathered data analyze aggregation server with artificial neural network. Artificial neural network means multilayer perceptron network trained with a set of collected attacks. Attack data could also be preprocessed and verified with a self-organizing map. The source data is detected by distributed network of detection nodes. Each node contains a honeypot application and traffic monitoring mechanism. Aggregation of data from each node creates an input for neural networks. The automatic classification on a centralized server with low false positive detection reduce the cost of attack detection resources. The detection system uses modular design for easy deployment in final infrastructure. The centralized server collects and process detected traffic. It also maintains all detection nodes.

  16. An improved Bayesian network method for reconstructing gene regulatory network based on candidate auto selection.

    Science.gov (United States)

    Xing, Linlin; Guo, Maozu; Liu, Xiaoyan; Wang, Chunyu; Wang, Lei; Zhang, Yin

    2017-11-17

    The reconstruction of gene regulatory network (GRN) from gene expression data can discover regulatory relationships among genes and gain deep insights into the complicated regulation mechanism of life. However, it is still a great challenge in systems biology and bioinformatics. During the past years, numerous computational approaches have been developed for this goal, and Bayesian network (BN) methods draw most of attention among these methods because of its inherent probability characteristics. However, Bayesian network methods are time consuming and cannot handle large-scale networks due to their high computational complexity, while the mutual information-based methods are highly effective but directionless and have a high false-positive rate. To solve these problems, we propose a Candidate Auto Selection algorithm (CAS) based on mutual information and breakpoint detection to restrict the search space in order to accelerate the learning process of Bayesian network. First, the proposed CAS algorithm automatically selects the neighbor candidates of each node before searching the best structure of GRN. Then based on CAS algorithm, we propose a globally optimal greedy search method (CAS + G), which focuses on finding the highest rated network structure, and a local learning method (CAS + L), which focuses on faster learning the structure with little loss of quality. Results show that the proposed CAS algorithm can effectively reduce the search space of Bayesian networks through identifying the neighbor candidates of each node. In our experiments, the CAS + G method outperforms the state-of-the-art method on simulation data for inferring GRNs, and the CAS + L method is significantly faster than the state-of-the-art method with little loss of accuracy. Hence, the CAS based methods effectively decrease the computational complexity of Bayesian network and are more suitable for GRN inference.

  17. Density-Based and Transport-Based Core-Periphery Structures in Networks

    CERN Document Server

    Lee, Sang Hoon; Porter, Mason A

    2013-01-01

    Networks often possess mesoscale structures, and studying them can yield insights into both structure and function. It is most common to study community structure, but numerous other types of mesoscale structures also exist. In this paper, we examine core-periphery structures based on both density and transportation. In such structures, core network components are well-connected both among themselves and to peripheral components, which are not well-connected to anything. We examine core-periphery structures in a wide range of examples of transportation, social, and financial networks---including road networks in large urban areas, a rabbit warren, a dolphin social network, a European interbank network, and a migration network between counties in the United States. We illustrate that a recently developed transport-based notion of node coreness is very useful for characterizing transportation networks. We also generalize this notion to examine core versus peripheral edges, and we show that this new diagnostic i...

  18. A Concept of Location-Based Social Network Marketing

    DEFF Research Database (Denmark)

    Tussyadiah, Iis

    2012-01-01

    A stimulus-response model of location-based social network marketing is conceptualized based on an exploratory investigation. Location-based social network applications are capable of generating marketing stimuli from merchant, competition-based, and connection-based rewards resulted from relevance...... and connectivity. Depending on consumption situations, consumer characteristics, and social network structure, these rewards lead to actual behavior that manifests in variety behavior (i.e., patronage to new places) and loyalty behavior (i.e., increased frequency of patronage to familiar places). This behavior...... implies changes in patterns of mobility, making this marketing approach particularly relevant for tourism and hospitality businesses. Managerial implications and recommendations for further studies are provided....

  19. AMERICA’S BASE NETWORK: CREDIBLE DETERRENCE

    Science.gov (United States)

    2017-04-06

    East. As globalism has produced hot spots in the Middle East Turkey’s geographic location is advantageous to the US. Turkey’s infrastructure of ports...basing concept. Overseas basing as a subset of the global force posture has totally transformed U.S. thinking about international security and its...basing concept. Overseas basing as a subset of the global force posture has totally transformed U.S. thinking about international security and its

  20. Problem-based learning for professionalism and scientific integrity training of biomedical graduate students: process evaluation.

    Science.gov (United States)

    Jones, Nancy L; Peiffer, Ann M; Lambros, Ann; Eldridge, J Charles

    2010-10-01

    We conducted a process evaluation to (a) assess the effectiveness of a new problem-based learning curriculum designed to teach professionalism and scientific integrity to biomedical graduate students and (b) modify the course to enhance its relevance and effectiveness. The content presented realistic cases and issues in the practice of science, to promote skill development and to acculturate students to professional norms of science. We used 5-step Likert-scaled questions, open-ended questions, and interviews of students and facilitators to assess curricular effectiveness. Both facilitators and students perceived course objectives were achieved. For example, respondents preferred active learning over lectures; both faculty and students perceived that the curriculum increased their understanding of norms, role obligations and responsibilities of professional scientists. They also reported an increased ability to identify ethical situations and felt that they had developed skills in moral reasoning and effective group work. These data helped to improve course implementation and instructional material. For example, to correct a negative perception that this was an 'ethics' course, we redesigned case debriefing activities to reinforce learning objectives and important skills. We refined cases to be more engaging and relevant for students, and gave facilitators more specific training and resources for each case. The problem-based learning small group strategy can stimulate an environment whereby participants are more aware of ethical implications of science, and increase their socialisation and open communication about professional behaviour.

  1. Development of analytical competencies and professional identities through school-based learning in Denmark

    Science.gov (United States)

    Andresen, Bent B.

    2015-12-01

    This article presents the main results of a case study on teachers' professional development in terms of competence and identity. The teachers involved in the study are allocated time by their schools to participate in professional "affinity group" meetings. During these meetings, the teachers gather and analyse school-based data about factors which persistently create and sustain challenges in effective student education (grade K-10). This process improves their understanding and undertaking of job-related tasks. The affinity group meetings also influence the teachers' professional identity. The research findings thus illustrate the fact that the analytical approach of affinity groups, based on the analysis of the difficulties in their daily job, provides good results in terms of competencies and identity perception. In general, as a result of meeting in affinity groups, adult learners develop professional competencies and identities which are considered crucial in rapidly changing schools characterised by an increased focus on, among other things, lifelong learning, social inclusion, school digitalisation, and information literacy. The research findings are thus relevant for ministries and school owners, teacher-trainers and supervisors, schools and other educational institutions, as well as teachers and their organisations worldwide.

  2. Cluster Analysis Based on Bipartite Network

    Directory of Open Access Journals (Sweden)

    Dawei Zhang

    2014-01-01

    Full Text Available Clustering data has a wide range of applications and has attracted considerable attention in data mining and artificial intelligence. However it is difficult to find a set of clusters that best fits natural partitions without any class information. In this paper, a method for detecting the optimal cluster number is proposed. The optimal cluster number can be obtained by the proposal, while partitioning the data into clusters by FCM (Fuzzy c-means algorithm. It overcomes the drawback of FCM algorithm which needs to define the cluster number c in advance. The method works by converting the fuzzy cluster result into a weighted bipartite network and then the optimal cluster number can be detected by the improved bipartite modularity. The experimental results on artificial and real data sets show the validity of the proposed method.

  3. Quantum-dot based photonic quantum networks

    Science.gov (United States)

    Lodahl, Peter

    2018-01-01

    Quantum dots (QDs) embedded in photonic nanostructures have in recent years proven to be a very powerful solid-state platform for quantum optics experiments. The combination of near-unity radiative coupling of a single QD to a photonic mode and the ability to eliminate decoherence processes imply that an unprecedent light–matter interface can be obtained. As a result, high-cooperativity photon-emitter quantum interfaces can be constructed opening a path-way to deterministic photonic quantum gates for quantum-information processing applications. In the present manuscript, I review current state-of-the-art on QD devices and their applications for quantum technology. The overarching long-term goal of the research field is to construct photonic quantum networks where remote entanglement can be distributed over long distances by photons.

  4. Numerical study on the perception-based network formation model

    CERN Document Server

    Jo, Hang-Hyun

    2015-01-01

    In order to understand the evolution of social networks in terms of perception-based strategic link formation, we numerically study a perception-based network formation model. Here each individual is assumed to have his/her own perception of the actual network, and use it to decide whether to create a link to other individual. An individual with the least perception accuracy can benefit from updating his/her perception using that of the most accurate individual via a new link. This benefit is compared to the cost of linking in decision making. Once a new link is created, it affects the accuracies of other individuals' perceptions, leading to a further evolution of the actual network. The initial actual network and initial perceptions are modeled by Erd\\H{o}s-R\\'enyi random networks but with different linking probabilities. Then the stable link density of the actual network is found to show discontinuous transitions or jumps according to the cost of linking. The effect of initial conditions on the complexity o...

  5. Appropriate care for shelter-based abused women: concept mapping with Dutch clients and professionals.

    Science.gov (United States)

    Jonker, Irene E; Jansen, Carinda C J M; Christians, Milou G M; Wolf, Judith R L M

    2014-04-01

    We conducted a concept mapping exercise to gain insight into the perspectives held by abused women and professionals with regard to appropriate care in Dutch women's shelters. Three brainstorming sessions generated 92 statements that were then rated by 56 clients and 51 professionals. A total of 11 clusters were identified. The three most important clusters were "help with finding a safe house if necessary," "safety and suitable care for the children," and "a personalized, respectful approach." The most important statement was "take women seriously and treat them with respect." The mapping exercise identified key practice-based elements of intervention that should better accommodate the needs of shelter-based abused women. We have used these elements in developing a new intervention for shelter-based abused women in the Netherlands.

  6. How we developed a role-based portfolio for teachers' professional development.

    Science.gov (United States)

    Pyörälä, Eeva

    2014-09-01

    Faculty development requires practical tools for supporting teachers' professional development. In a modern medical education context, teachers need to adapt to various educational roles. This article describes how a role-based portfolio with a qualitative self-assessment scale was developed. It strives to encourage and support teachers' growth in different educational roles. The portfolio was developed between 2009 and 2012 at the University of Helsinki in dialogue with teachers involved in faculty development. It is based on the role framework presented by Harden and Crosby. Today, it also involves the educational premises of constructive alignment, reflection and a scholarly approach to teaching. The role-based portfolio has led the teachers to discover new educational roles and set goals in their professional development.

  7. School-Based Mental Health Professionals' Bullying Assessment Practices: A Call for Evidence-Based Bullying Assessment Guidelines

    Science.gov (United States)

    Blake, Jamilia; Banks, Courtney S.; Patience, Brenda A.; Lund, Emily M.

    2014-01-01

    A sample of 483 school-based mental health professionals completed a survey about the training they have received related to conducting bullying assessments in schools, competence in conducting an assessment of bullying, and the bullying assessment methods they used. Results indicate that school counselors were usually informed about incidents of…

  8. Node-Dependence-Based Dynamic Incentive Algorithm in Opportunistic Networks

    Directory of Open Access Journals (Sweden)

    Ruiyun Yu

    2014-01-01

    Full Text Available Opportunistic networks lack end-to-end paths between source nodes and destination nodes, so the communications are mainly carried out by the “store-carry-forward” strategy. Selfish behaviors of rejecting packet relay requests will severely worsen the network performance. Incentive is an efficient way to reduce selfish behaviors and hence improves the reliability and robustness of the networks. In this paper, we propose the node-dependence-based dynamic gaming incentive (NDI algorithm, which exploits the dynamic repeated gaming to motivate nodes relaying packets for other nodes. The NDI algorithm presents a mechanism of tolerating selfish behaviors of nodes. Reward and punishment methods are also designed based on the node dependence degree. Simulation results show that the NDI algorithm is effective in increasing the delivery ratio and decreasing average latency when there are a lot of selfish nodes in the opportunistic networks.

  9. In silico network topology-based prediction of gene essentiality

    CERN Document Server

    da Silva, Joao Paulo Muller; Mombach, Jose Carlos Merino; Vieira, Renata; da Silva, Jose Guliherme Camargo; Lemke, Ney; Sinigaglia, Marialva

    2007-01-01

    The identification of genes essential for survival is important for the understanding of the minimal requirements for cellular life and for drug design. As experimental studies with the purpose of building a catalog of essential genes for a given organism are time-consuming and laborious, a computational approach which could predict gene essentiality with high accuracy would be of great value. We present here a novel computational approach, called NTPGE (Network Topology-based Prediction of Gene Essentiality), that relies on network topology features of a gene to estimate its essentiality. The first step of NTPGE is to construct the integrated molecular network for a given organism comprising protein physical, metabolic and transcriptional regulation interactions. The second step consists in training a decision tree-based machine learning algorithm on known essential and non-essential genes of the organism of interest, considering as learning attributes the network topology information for each of these genes...

  10. A family of quantization based piecewise linear filter networks

    DEFF Research Database (Denmark)

    Sørensen, John Aasted

    1992-01-01

    A family of quantization-based piecewise linear filter networks is proposed. For stationary signals, a filter network from this family is a generalization of the classical Wiener filter with an input signal and a desired response. The construction of the filter network is based on quantization...... of the input signal x(n) into quantization classes. With each quantization class is associated a linear filter. The filtering at time n is carried out by the filter belonging to the actual quantization class of x(n ) and the filters belonging to the neighbor quantization classes of x(n) (regularization......). This construction leads to a three-layer filter network. The first layer consists of the quantization class filters for the input signal. The second layer carries out the regularization between neighbor quantization classes, and the third layer constitutes a decision of quantization class from where the resulting...

  11. Agent Based Modeling on Organizational Dynamics of Terrorist Network

    Directory of Open Access Journals (Sweden)

    Bo Li

    2015-01-01

    Full Text Available Modeling organizational dynamics of terrorist network is a critical issue in computational analysis of terrorism research. The first step for effective counterterrorism and strategic intervention is to investigate how the terrorists operate with the relational network and what affects the performance. In this paper, we investigate the organizational dynamics by employing a computational experimentation methodology. The hierarchical cellular network model and the organizational dynamics model are developed for modeling the hybrid relational structure and complex operational processes, respectively. To intuitively elucidate this method, the agent based modeling is used to simulate the terrorist network and test the performance in diverse scenarios. Based on the experimental results, we show how the changes of operational environments affect the development of terrorist organization in terms of its recovery and capacity to perform future tasks. The potential strategies are also discussed, which can be used to restrain the activities of terrorists.

  12. Bulk Restoration for SDN-Based Transport Network

    Directory of Open Access Journals (Sweden)

    Yang Zhao

    2016-01-01

    Full Text Available We propose a bulk restoration scheme for software defined networking- (SDN- based transport network. To enhance the network survivability and improve the throughput, we allow disrupted flows to be recovered synchronously in dynamic order. In addition backup paths are scheduled globally by applying the principles of load balance. We model the bulk restoration problem using a mixed integer linear programming (MILP formulation. Then, a heuristic algorithm is devised. The proposed algorithm is verified by simulation and the results are analyzed comparing with sequential restoration schemes.

  13. Facial expression recognition based on improved deep belief networks

    Science.gov (United States)

    Wu, Yao; Qiu, Weigen

    2017-08-01

    In order to improve the robustness of facial expression recognition, a method of face expression recognition based on Local Binary Pattern (LBP) combined with improved deep belief networks (DBNs) is proposed. This method uses LBP to extract the feature, and then uses the improved deep belief networks as the detector and classifier to extract the LBP feature. The combination of LBP and improved deep belief networks is realized in facial expression recognition. In the JAFFE (Japanese Female Facial Expression) database on the recognition rate has improved significantly.

  14. Rewiring Chemical Networks Based on Dynamic Dithioacetal and Disulfide Bonds.

    Science.gov (United States)

    Orrillo, A Gastón; La-Venia, Agustina; Escalante, Andrea M; Furlan, Ricardo L E

    2018-01-18

    The control of the connectivity between nodes of synthetic networks is still largely unexplored. To address this point we take advantage of a simple dynamic chemical system with two exchange levels that are mutually connected and can be activated simultaneously or sequentially. Dithioacetals and disulfides can be exchanged simultaneously under UV light in the presence of a sensitizer. Crossover reactions between both exchange processes produce a fully connected chemical network. On the other hand, the use of acid, base or UV light connects different nodes allowing network rewiring. © 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

  15. Fast, moment-based estimation methods for delay network tomography

    Energy Technology Data Exchange (ETDEWEB)

    Lawrence, Earl Christophre [Los Alamos National Laboratory; Michailidis, George [U OF MICHIGAN; Nair, Vijayan N [U OF MICHIGAN

    2008-01-01

    Consider the delay network tomography problem where the goal is to estimate distributions of delays at the link-level using data on end-to-end delays. These measurements are obtained using probes that are injected at nodes located on the periphery of the network and sent to other nodes also located on the periphery. Much of the previous literature deals with discrete delay distributions by discretizing the data into small bins. This paper considers more general models with a focus on computationally efficient estimation. The moment-based schemes presented here are designed to function well for larger networks and for applications like monitoring that require speedy solutions.

  16. Carrier ethernet network control plane based on the Next Generation Network

    DEFF Research Database (Denmark)

    Fu, Rong; Wang, Yanmeng; Berger, Michael Stubert

    2008-01-01

    architecture. The approaches to QoS mapping, label distribution and connection and admission control (CAC) are specified here. At last, a simple T-MPLS based Carrier Ethernet network model with three kinds of users (VoIP, VoD and HTTP) and a RACE based control module is simulated in OPNET. The model is aiming...

  17. BGP-Based Routing Configuration Management for Multidomain Mobile Networks

    Science.gov (United States)

    2010-09-01

    extend the network management system to exterior routing configuration in dynamically changed topology. 1.0 INTRODUCTION Routing in the Internet ...in is mostly based on BGP protocol [1]. The Internet is in fact the composition of autonomous systems (AS), each of them is independently...Bruin, O. Bonaventure, Open Issues in Interdomain Routing: A Survey, IEEE Network Magazine,Volume 19, 11.2005 [7] D. Street, Global Information Grid

  18. Interoperability in wireless sensor networks based on IEEE 1451 standard

    OpenAIRE

    Higuera Portilla, Jorge Eduardo; Polo Cantero, José

    2012-01-01

    The syntactic and semantic interoperability is a challenge of the Wireless Sensor Networks (WSN) with smart sensors in pervasive computing environments to increase their harmonization in a wide variety of applications. This chapter contains a detailed description of interoperability in heterogeneous WSN using the IEEE 1451 standard. This work focuses on personal area networks (PAN) with smart sensors and actuators. Also, a technical, syntactic and semantic levels of interoperability based on ...

  19. Cooperative Technique Based on Sensor Selection in Wireless Sensor Network

    OpenAIRE

    ISLAM, M. R.; KIM, J.

    2009-01-01

    An energy efficient cooperative technique is proposed for the IEEE 1451 based Wireless Sensor Networks. Selected numbers of Wireless Transducer Interface Modules (WTIMs) are used to form a Multiple Input Single Output (MISO) structure wirelessly connected with a Network Capable Application Processor (NCAP). Energy efficiency and delay of the proposed architecture are derived for different combination of cluster size and selected number of WTIMs. Optimized constellation parameters are used for...

  20. A NOVEL ARCHITECTURE FOR SDN-BASED CELLULAR NETWORK

    OpenAIRE

    Md. Humayun Kabir

    2014-01-01

    In this paper, we propose a novel SDN-based cellular network architecture that will be able to utilize the opportunities of centralized administration of today’s emerging mobile network. Our proposed architecture would not depend on a single controller, rather it divides the whole cellular area into clusters, and each cluster is controlled by a separate controller. A number of controller services are provided on top of each controller to manage all the major functionalities of the...

  1. Scalable Cluster-based Routing in Large Wireless Sensor Networks

    OpenAIRE

    Jiandong Li; Xuelian Cai; Jin Yang; Lina Zhu

    2012-01-01

    Large control overhead is the leading factor limiting the scalability of wireless sensor networks (WSNs). Clustering network nodes is an efficient solution, and Passive Clustering (PC) is one of the most efficient clustering methods. In this letter, we propose an improved PC-based route building scheme, named Route Reply (RREP) Broadcast with Passive Clustering (in short RBPC). Through broadcasting RREP packets on an expanding ring to build route, sensor nodes cache their route to the sink no...

  2. Twitter and Public Health (Part 1): How Individual Public Health Professionals Use Twitter for Professional Development.

    Science.gov (United States)

    Hart, Mark; Stetten, Nichole E; Islam, Sabrina; Pizarro, Katherine

    2017-09-20

    The use of social networking sites is increasingly being adopted in public health, in part, because of the barriers to funding and reduced resources. Public health professionals are using social media platforms, specifically Twitter, as a way to facilitate professional development. The objective of this study was to identify public health professionals using Twitter and to analyze how they use this platform to enhance their formal and informal professional development within the context of public health. Keyword searches were conducted to identify and invite potential participants to complete a survey related to their use of Twitter for public health and professional experiences. Data regarding demographic attributes, Twitter usage, and qualitative information were obtained through an anonymous Web-based survey. Open-response survey questions were analyzed using the constant comparison method. "Using Twitter makes it easier to expand my networking opportunities" and "I find Twitter useful for professional development" scored highest, with a mean score of 4.57 (standard deviation [SD] 0.74) and 4.43 (SD 0.76) on a 5-point Likert scale. Analysis of the qualitative data shows the emergence of the following themes for why public health professionals mostly use Twitter: (1) geography, (2) continuing education, (3) professional gain, and (4) communication. For public health professionals in this study, Twitter is a platform best used for their networking and professional development. Furthermore, the use of Twitter allows public health professionals to overcome a series of barriers and enhances opportunities for growth.

  3. A Novel Cross-Layer Routing Protocol Based on Network Coding for Underwater Sensor Networks.

    Science.gov (United States)

    Wang, Hao; Wang, Shilian; Bu, Renfei; Zhang, Eryang

    2017-08-08

    Underwater wireless sensor networks (UWSNs) have attracted increasing attention in recent years because of their numerous applications in ocean monitoring, resource discovery and tactical surveillance. However, the design of reliable and efficient transmission and routing protocols is a challenge due to the low acoustic propagation speed and complex channel environment in UWSNs. In this paper, we propose a novel cross-layer routing protocol based on network coding (NCRP) for UWSNs, which utilizes network coding and cross-layer design to greedily forward data packets to sink nodes efficiently. The proposed NCRP takes full advantages of multicast transmission and decode packets jointly with encoded packets received from multiple potential nodes in the entire network. The transmission power is optimized in our design to extend the life cycle of the network. Moreover, we design a real-time routing maintenance protocol to update the route when detecting inefficient relay nodes. Substantial simulations in underwater environment by Network Simulator 3 (NS-3) show that NCRP significantly improves the network performance in terms of energy consumption, end-to-end delay and packet delivery ratio compared with other routing protocols for UWSNs.

  4. Data Dissemination Based on Fuzzy Logic and Network Coding in Vehicular Networks

    Directory of Open Access Journals (Sweden)

    Xiaolan Tang

    2017-01-01

    Full Text Available Vehicular networks, as a significant technology in intelligent transportation systems, improve the convenience, efficiency, and safety of driving in smart cities. However, because of the high velocity, the frequent topology change, and the limited bandwidth, it is difficult to efficiently propagate data in vehicular networks. This paper proposes a data dissemination scheme based on fuzzy logic and network coding for vehicular networks, named SFN. It uses fuzzy logic to compute a transmission ability for each vehicle by comprehensively considering the effects of three factors: the velocity change rate, the velocity optimization degree, and the channel quality. Then, two nodes with high abilities are selected as primary backbone and slave backbone in every road segment, which propagate data to other vehicles in this segment and forward them to the backbones in the next segment. The backbone network helps to increase the delivery ratio and avoid invalid transmissions. Additionally, network coding is utilized to reduce transmission overhead and accelerate data retransmission in interbackbone forwarding and intrasegment broadcasting. Experiments show that, compared with existing schemes, SFN has a high delivery ratio and a short dissemination delay, while the backbone network keeps high reliability.

  5. A network security situation prediction model based on wavelet neural network with optimized parameters

    Directory of Open Access Journals (Sweden)

    Haibo Zhang

    2016-08-01

    Full Text Available The security incidents ion networks are sudden and uncertain, it is very hard to precisely predict the network security situation by traditional methods. In order to improve the prediction accuracy of the network security situation, we build a network security situation prediction model based on Wavelet Neural Network (WNN with optimized parameters by the Improved Niche Genetic Algorithm (INGA. The proposed model adopts WNN which has strong nonlinear ability and fault-tolerance performance. Also, the parameters for WNN are optimized through the adaptive genetic algorithm (GA so that WNN searches more effectively. Considering the problem that the adaptive GA converges slowly and easily turns to the premature problem, we introduce a novel niche technology with a dynamic fuzzy clustering and elimination mechanism to solve the premature convergence of the GA. Our final simulation results show that the proposed INGA-WNN prediction model is more reliable and effective, and it achieves faster convergence-speed and higher prediction accuracy than the Genetic Algorithm-Wavelet Neural Network (GA-WNN, Genetic Algorithm-Back Propagation Neural Network (GA-BPNN and WNN.

  6. Real time network traffic monitoring for wireless local area networks based on compressed sensing

    Science.gov (United States)

    Balouchestani, Mohammadreza

    2017-05-01

    A wireless local area network (WLAN) is an important type of wireless networks which connotes different wireless nodes in a local area network. WLANs suffer from important problems such as network load balancing, large amount of energy, and load of sampling. This paper presents a new networking traffic approach based on Compressed Sensing (CS) for improving the quality of WLANs. The proposed architecture allows reducing Data Delay Probability (DDP) to 15%, which is a good record for WLANs. The proposed architecture is increased Data Throughput (DT) to 22 % and Signal to Noise (S/N) ratio to 17 %, which provide a good background for establishing high qualified local area networks. This architecture enables continuous data acquisition and compression of WLAN's signals that are suitable for a variety of other wireless networking applications. At the transmitter side of each wireless node, an analog-CS framework is applied at the sensing step before analog to digital converter in order to generate the compressed version of the input signal. At the receiver side of wireless node, a reconstruction algorithm is applied in order to reconstruct the original signals from the compressed signals with high probability and enough accuracy. The proposed algorithm out-performs existing algorithms by achieving a good level of Quality of Service (QoS). This ability allows reducing 15 % of Bit Error Rate (BER) at each wireless node.

  7. Cloud-Centric and Logically Isolated Virtual Network Environment Based on Software-Defined Wide Area Network

    Directory of Open Access Journals (Sweden)

    Dongkyun Kim

    2017-12-01

    Full Text Available Recent development of distributed cloud environments requires advanced network infrastructure in order to facilitate network automation, virtualization, high performance data transfer, and secured access of end-to-end resources across regional boundaries. In order to meet these innovative cloud networking requirements, software-defined wide area network (SD-WAN is primarily demanded to converge distributed cloud resources (e.g., virtual machines (VMs in a programmable and intelligent manner over distant networks. Therefore, this paper proposes a logically isolated networking scheme designed to integrate distributed cloud resources to dynamic and on-demand virtual networking over SD-WAN. The performance evaluation and experimental results of the proposed scheme indicate that virtual network convergence time is minimized in two different network models such as: (1 an operating OpenFlow-oriented SD-WAN infrastructure (KREONET-S which is deployed on the advanced national research network in Korea, and (2 Mininet-based experimental and emulated networks.

  8. Chain-Based Communication in Cylindrical Underwater Wireless Sensor Networks

    Science.gov (United States)

    Javaid, Nadeem; Jafri, Mohsin Raza; Khan, Zahoor Ali; Alrajeh, Nabil; Imran, Muhammad; Vasilakos, Athanasios

    2015-01-01

    Appropriate network design is very significant for Underwater Wireless Sensor Networks (UWSNs). Application-oriented UWSNs are planned to achieve certain objectives. Therefore, there is always a demand for efficient data routing schemes, which can fulfill certain requirements of application-oriented UWSNs. These networks can be of any shape, i.e., rectangular, cylindrical or square. In this paper, we propose chain-based routing schemes for application-oriented cylindrical networks and also formulate mathematical models to find a global optimum path for data transmission. In the first scheme, we devise four interconnected chains of sensor nodes to perform data communication. In the second scheme, we propose routing scheme in which two chains of sensor nodes are interconnected, whereas in third scheme single-chain based routing is done in cylindrical networks. After finding local optimum paths in separate chains, we find global optimum paths through their interconnection. Moreover, we develop a computational model for the analysis of end-to-end delay. We compare the performance of the above three proposed schemes with that of Power Efficient Gathering System in Sensor Information Systems (PEGASIS) and Congestion adjusted PEGASIS (C-PEGASIS). Simulation results show that our proposed 4-chain based scheme performs better than the other selected schemes in terms of network lifetime, end-to-end delay, path loss, transmission loss, and packet sending rate. PMID:25658394

  9. Chain-Based Communication in Cylindrical Underwater Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Nadeem Javaid

    2015-02-01

    Full Text Available Appropriate network design is very significant for Underwater Wireless Sensor Networks (UWSNs. Application-oriented UWSNs are planned to achieve certain objectives. Therefore, there is always a demand for efficient data routing schemes, which can fulfill certain requirements of application-oriented UWSNs. These networks can be of any shape, i.e., rectangular, cylindrical or square. In this paper, we propose chain-based routing schemes for application-oriented cylindrical networks and also formulate mathematical models to find a global optimum path for data transmission. In the first scheme, we devise four interconnected chains of sensor nodes to perform data communication. In the second scheme, we propose routing scheme in which two chains of sensor nodes are interconnected, whereas in third scheme single-chain based routing is done in cylindrical networks. After finding local optimum paths in separate chains, we find global optimum paths through their interconnection. Moreover, we develop a computational model for the analysis of end-to-end delay. We compare the performance of the above three proposed schemes with that of Power Efficient Gathering System in Sensor Information Systems (PEGASIS and Congestion adjusted PEGASIS (C-PEGASIS. Simulation results show that our proposed 4-chain based scheme performs better than the other selected schemes in terms of network lifetime, end-to-end delay, path loss, transmission loss, and packet sending rate.

  10. Chain-based communication in cylindrical underwater wireless sensor networks.

    Science.gov (United States)

    Javaid, Nadeem; Jafri, Mohsin Raza; Khan, Zahoor Ali; Alrajeh, Nabil; Imran, Muhammad; Vasilakos, Athanasios

    2015-02-04

    Appropriate network design is very significant for Underwater Wireless Sensor Networks (UWSNs). Application-oriented UWSNs are planned to achieve certain objectives. Therefore, there is always a demand for efficient data routing schemes, which can fulfill certain requirements of application-oriented UWSNs. These networks can be of any shape, i.e., rectangular, cylindrical or square. In this paper, we propose chain-based routing schemes for application-oriented cylindrical networks and also formulate mathematical models to find a global optimum path for data transmission. In the first scheme, we devise four interconnected chains of sensor nodes to perform data communication. In the second scheme, we propose routing scheme in which two chains of sensor nodes are interconnected, whereas in third scheme single-chain based routing is done in cylindrical networks. After finding local optimum paths in separate chains, we find global optimum paths through their interconnection. Moreover, we develop a computational model for the analysis of end-to-end delay. We compare the performance of the above three proposed schemes with that of Power Efficient Gathering System in Sensor Information Systems (PEGASIS) and Congestion adjusted PEGASIS (C-PEGASIS). Simulation results show that our proposed 4-chain based scheme performs better than the other selected schemes in terms of network lifetime, end-to-end delay, path loss, transmission loss, and packet sending rate.

  11. On effectiveness of network sensor-based defense framework

    Science.gov (United States)

    Zhang, Difan; Zhang, Hanlin; Ge, Linqiang; Yu, Wei; Lu, Chao; Chen, Genshe; Pham, Khanh

    2012-06-01

    Cyber attacks are increasing in frequency, impact, and complexity, which demonstrate extensive network vulnerabilities with the potential for serious damage. Defending against cyber attacks calls for the distributed collaborative monitoring, detection, and mitigation. To this end, we develop a network sensor-based defense framework, with the aim of handling network security awareness, mitigation, and prediction. We implement the prototypical system and show its effectiveness on detecting known attacks, such as port-scanning and distributed denial-of-service (DDoS). Based on this framework, we also implement the statistical-based detection and sequential testing-based detection techniques and compare their respective detection performance. The future implementation of defensive algorithms can be provisioned in our proposed framework for combating cyber attacks.

  12. Social-based autonomic routing in opportunistic networks

    Science.gov (United States)

    Boldrini, Chiara; Conti, Marco; Passarella, Andrea

    In opportunistic networks end-to-end communication between users does not require a continuous end-to-end path between source and destination. Network protocols are designed to be extremely resilient to events such as long partitions, node disconnections, etc, which are very features of this type of self-organizing ad hoc networks. This is achieved by temporarily storing messages at intermediate nodes, waiting for future opportunities to forward them towards the destination. The mobility of users plays a key role in opportunistic networks. Thus, providing accurate models of mobility patterns is one of the key research areas. In this chapter we firstly focus on this issue, with special emphasis on a class of social-aware models. These models are based on the observation that people move because they are attracted towards other people they have social relationships with, or towards physical places that have special meaning with respect to their social behavior. Another key research area in opportunistic networks is clearly designing routing and forwarding schemes. In this chapter we provide a survey of the main approaches to routing in purely infrastructure-less opportunistic networks, by classifying protocols based on the amount of context information they exploit.We then provide an extensive quantitative comparison between representatives of protocols that do not use any context information, and protocols that manage and exploit a rich set of context information. We mainly focus on the suitability of protocols to adapt to the dynamically changing network features, as resulting from the user movement patterns that are driven by their social behavior. Our results show that context-aware routing is extremely adaptive to dynamic networking scenarios, and, with respect to protocols that do not use any context information, is able to provide similar performance in terms of delay and loss rate, by using just a small fraction of the network resources.

  13. An examination of science teachers' learning in a laboratory-based professional development program

    Science.gov (United States)

    Kiehl, Melissa Lynn

    teachers generated goals for practice that echoed their new understandings. Further, teachers articulated how they connected LSTPD to their classrooms, fueling further discussion of the role of PCK in their experience. This study has greater implications for the design of sustained research-based professional development experiences in promoting learning in teachers, and inquiry techniques in classrooms.

  14. Implementation of neural network based non-linear predictive

    DEFF Research Database (Denmark)

    Sørensen, Paul Haase; Nørgård, Peter Magnus; Ravn, Ole

    1998-01-01

    The paper describes a control method for non-linear systems based on generalized predictive control. Generalized predictive control (GPC) was developed to control linear systems including open loop unstable and non-minimum phase systems, but has also been proposed extended for the control of non......-linear systems. GPC is model-based and in this paper we propose the use of a neural network for the modeling of the system. Based on the neural network model a controller with extended control horizon is developed and the implementation issues are discussed, with particular emphasis on an efficient Quasi......-Newton optimization algorithm. The performance is demonstrated on a pneumatic servo system....

  15. Agent-Based Simulation Analysis for Network Formation

    OpenAIRE

    神原, 李佳; 林田, 智弘; 西﨑, 一郎; 片桐, 英樹

    2009-01-01

    In the mathematical models for network formation by Bala and Goyal(2000), it is shown that a star network is the strict Nash equilibrium. However, the result of the experiments in a laboratory using human subjects by Berninghaus et al.(2007) basing on the model of Bala and Goyal indicates that players reach a strict Nash equilibrium and deviate it. In this paper, an agent-based simulation model in which artificial adaptive agents have mechanisms of decision making and learning based on nueral...

  16. Restoration in multi-domain GMPLS-based networks

    DEFF Research Database (Denmark)

    Manolova, Anna; Ruepp, Sarah Renée; Dittmann, Lars

    2011-01-01

    In this paper, we evaluate the efficiency of using restoration mechanisms in a dynamic multi-domain GMPLS network. Major challenges and solutions are introduced and two well-known restoration schemes (End-to-End and Local-to-End) are evaluated. Additionally, new restoration mechanisms...... are introduced: one based on the position of a failed link, called Location-Based, and another based on minimizing the additional resources consumed during restoration, called Shortest-New. A complete set of simulations in different network scenarios show where each mechanism is more efficient in terms, such as...

  17. A NEURAL NETWORK BASED TRAFFIC-AWARE FORWARDING STRATEGY IN NAMED DATA NETWORKING

    Directory of Open Access Journals (Sweden)

    Parisa Bazmi

    2016-11-01

    Full Text Available Named Data Networking (NDN is a new Internet architecture which has been proposed to eliminate TCP/IP Internet architecture restrictions. This architecture is abstracting away the notion of host and working based on naming datagrams. However, one of the major challenges of NDN is supporting QoS-aware forwarding strategy so as to forward Interest packets intelligently over multiple paths based on the current network condition. In this paper, Neural Network (NN Based Traffic-aware Forwarding strategy (NNTF is introduced in order to determine an optimal path for Interest forwarding. NN is embedded in NDN routers to select next hop dynamically based on the path overload probability achieved from the NN. This solution is characterized by load balancing and QoS-awareness via monitoring the available path and forwarding data on the traffic-aware shortest path. The performance of NNTF is evaluated using ndnSIM which shows the efficiency of this scheme in terms of network QoS improvementof17.5% and 72% reduction in network delay and packet drop respectively.

  18. Network interventions on physical activity in an afterschool program: an agent-based social network study.

    Science.gov (United States)

    Zhang, Jun; Shoham, David A; Tesdahl, Eric; Gesell, Sabina B

    2015-04-01

    We studied simulated interventions that leveraged social networks to increase physical activity in children. We studied a real-world social network of 81 children (average age = 7.96 years) who lived in low socioeconomic status neighborhoods, and attended public schools and 1 of 2 structured afterschool programs. The sample was ethnically diverse, and 44% were overweight or obese. We used social network analysis and agent-based modeling simulations to test whether implementing a network intervention would increase children's physical activity. We tested 3 intervention strategies. The intervention that targeted opinion leaders was effective in increasing the average level of physical activity across the entire network. However, the intervention that targeted the most sedentary children was the best at increasing their physical activity levels. Which network intervention to implement depends on whether the goal is to shift the entire distribution of physical activity or to influence those most adversely affected by low physical activity. Agent-based modeling could be an important complement to traditional project planning tools, analogous to sample size and power analyses, to help researchers design more effective interventions for increasing children's physical activity.

  19. Reconstruction of social group networks from friendship networks using a tag-based model

    Science.gov (United States)

    Guan, Yuan-Pan; You, Zhi-Qiang; Han, Xiao-Pu

    2016-12-01

    Social group is a type of mesoscopic structure that connects human individuals in microscopic level and the global structure of society. In this paper, we propose a tag-based model considering that social groups expand along the edge that connects two neighbors with a similar tag of interest. The model runs on a real-world friendship network, and its simulation results show that various properties of simulated group network can well fit the empirical analysis on real-world social groups, indicating that the model catches the major mechanism driving the evolution of social groups and successfully reconstructs the social group network from a friendship network and throws light on digging of relationships between social functional organizations.

  20. Purpose, structure, and function of the United States National Dental Practice-Based Research Network

    Science.gov (United States)

    Gilbert, Gregg H.; Williams, O. Dale; Korelitz, James J.; Fellows, Jeffrey L.; Gordan, Valeria V.; Makhija, Sonia K.; Meyerowitz, Cyril; Oates, Thomas W.; Rindal, D. Brad; Benjamin, Paul L.; Foy, Patrick J.

    2013-01-01

    Objective Following a successful2005–2012 phase with three regional practice-based research networks (PBRNs), a single, unified national network called “The National Dental PBRN” was created in 2012 in the United States to improve oral health by conducting practice-based research and serving dental professionals through education and collegiality. Methods Central administration is based in Alabama. Regional centres are based in Alabama, Florida, Minnesota, Oregon, New York and Texas, with a Coordinating Centre in Maryland. Ideas for studies are prioritized by the Executive Committee, comprised mostly of full-time clinicians. Results To date, 2736 persons have enrolled, from all six network regions; enrollment continues to expand. They represent a broad range of practitioners, practice types, and patient populations. Practitioners are actively improving every step of the research process, from idea generation, to study development, field testing, data collection, and presentation and publication. Conclusions Practitioners from diverse settings are partnering with fellow practitioners and academics to improve clinical practice and meet the needs of clinicians and their patients. Clinical significance This “nation’s network” aims to serve as a precious national resource to improve the scientific basis for clinical decision-making and foster movement of the latest evidence into routine practice. PMID:23597500

  1. IPTV inter-destination synchronization: A network-based approach

    NARCIS (Netherlands)

    Stokking, H.M.; Deventer, M.O. van; Niamut, O.A.; Walraven, F.A.; Mekuria, R.N.

    2010-01-01

    This paper introduces a novel network-based approach to inter-destination media synchronization. The approach meets the need for synchronization in advanced TV concepts like social TV and offers high scalability, unlike conventional end-point based approaches. The solution for interdestination media

  2. Approaches in Anomaly-based Network Intrusion Detection Systems

    NARCIS (Netherlands)

    Bolzoni, D.; Etalle, Sandro

    Anomaly-based network intrusion detection systems (NIDSs) can take into consideration packet headers, the payload, or a combination of both. We argue that payload-based approaches are becoming the most effective methods to detect attacks. Nowadays, attacks aim mainly to exploit vulnerabilities at

  3. Decoding signalling networks by mass spectrometry-based proteomics

    DEFF Research Database (Denmark)

    Choudhary, Chuna Ram; Mann, Matthias

    2010-01-01

    Signalling networks regulate essentially all of the biology of cells and organisms in normal and disease states. Signalling is often studied using antibody-based techniques such as western blots. Large-scale 'precision proteomics' based on mass spectrometry now enables the system...

  4. Dynamic QoS Provisioning for Ethernet-based Networks

    Science.gov (United States)

    Angelopoulos, J.; Kanonakis, K.; Leligou, H. C.; Orfanoudakis, Th.; Katsigiannis, M.

    2008-11-01

    The evolution towards packet-based access networks and the importance of quality of experience brings the need for access networks that support the offer of a wide range of multimedia services not currently available to the desired extent. Legacy networks based on circuit switching used explicit signalling that travelled to all nodes along the path to book resources before the launce of the media stream. This approach does not scale well and is not in line with the philosophy of packet networks. Still, the need to reserve resources in advance remains since real-time services have limited if any means of adjusting their rates to the prevailing network conditions and to preserve customer satisfaction the traditional preventive approach that needs accurate estimates of resource needs for the duration of the session is the only option. The paper describes a possible CAC solution based on measuring flows and enriches the network with implicit admission control (without obviating explicit control if available) and can manage resource allocation to protect quality-demanding services from degradation. The basis is a flow measurement system, which will estimate the traffic load produced by the flow and activate admission control. However, because in most cases these initial indication may well be misleading, it will be cross checked against a database of previously recorded flows per customer interface which can provide long term data on the flows leaving only a few cases that have to be corrected on the fly. The overall product is a self-learning autonomic system that supports QoS in the access network for services that do not communicate with the network layer such as, for example, peer-to-peer real-time multimedia applications.

  5. Connectedness of healthcare professionals involved in the treatment of patients with Parkinson's disease: a social networks study

    NARCIS (Netherlands)

    Wensing, M.J.P.; Eijk, M. van der; Koetsenruijter, J.; Bloem, B.R.; Munneke, M.; Faber, M.J.

    2011-01-01

    ABSTRACT: BACKGROUND: Patients with chronic illness typically receive ambulatory treatment from multiple health professionals. Connectedness between these professionals may influence their clinical decisions and the coordination of patient care. We aimed to describe and analyze connectedness in a

  6. Beyond NAVMEC: competency-based veterinary education and assessment of the professional competencies.

    Science.gov (United States)

    Hodgson, Jennifer L; Pelzer, Jacquelyn M; Inzana, Karen D

    2013-01-01

    The implementation of competency-based curricula within the health sciences has been an important paradigm shift over the past 30 years. As a result, one of the five strategic goals recommended by the North American Veterinary Medical Education Consortium (NAVMEC) report was to graduate career-ready veterinarians who are proficient in, and have the confidence to use, an agreed-upon set of core competencies. Of the nine competencies identified as essential for veterinary graduates, seven could be classified as professional or non-technical competencies: communication; collaboration; management (self, team, system); lifelong learning, scholarship, value of research; leadership; diversity and multicultural awareness; and adaptation to changing environments. Traditionally, the professional competencies have received less attention in veterinary curricula and their assessment is often sporadic or inconsistent. In contrast, the same or similar competencies are being increasingly recognized in other health professions as essential skills and abilities, and their assessment is being undertaken with enhanced scrutiny and critical appraisal. Several challenges have been associated with the assessment of professional competencies, including agreement as to their definition and therefore their evaluation, the fact that they are frequently complex and require multiple integrative assessments, and the ability and/or desire of faculty to teach and assess these competencies. To provide an improved context for assessment of the seven professional competencies identified in the NAVMEC report, this article describes a broad framework for their evaluation as well as specific examples of how these or similar competencies are currently being measured in medical and veterinary curricula.

  7. Characteristics and lessons learned from practice-based research networks (PBRNs in the United States

    Directory of Open Access Journals (Sweden)

    Keller S

    2012-09-01

    Full Text Available Melinda M Davis,1,2 Sara Keller,1 Jennifer E DeVoe,1,3 Deborah J Cohen11Department of Family Medicine, 2Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR, USA; 3OCHIN Practice-based Research Network, Portland, OR, USAAbstract: Practice-based research networks (PBRNs are organizations that involve practicing clinicians in asking and answering clinically relevant research questions. This review explores the origins, characteristics, funding, and lessons learned through practice-based research in the United States. Primary care PBRNs emerged in the USA in the 1970s. Early studies explored the etiology of common problems encountered in primary care practices (eg, headache, miscarriage, demonstrating the gap between research conducted in controlled specialty settings and real-world practices. Over time, national initiatives and an evolving funding climate have shaped PBRN development, contributing to larger networks, a push for shared electronic health records, and the use of a broad range of research methodologies (eg, observational studies, pragmatic randomized controlled trials, continuous quality improvement, participatory methods. Today, there are over 160 active networks registered with the Agency for Healthcare Research and Quality's PBRN Resource Center that engage primary care clinicians, pharmacists, dentists, and other health care professionals in research and quality-improvement initiatives. PBRNs provide an important laboratory for encouraging collaborative research partnerships between academicians and practices or communities to improve population health, conduct comparative effectiveness and patient-centered outcomes research, and study health policy reform. PBRNs continue to face critical challenges that include: (1 adapting to a changing landscape; (2 recruiting and retaining membership; (3 securing infrastructure support; (4 straddling two worlds (academia and community and managing

  8. Subgradient-based neural networks for nonsmooth nonconvex optimization problems.

    Science.gov (United States)

    Bian, Wei; Xue, Xiaoping

    2009-06-01

    This paper presents a subgradient-based neural network to solve a nonsmooth nonconvex optimization problem with a nonsmooth nonconvex objective function, a class of affine equality constraints, and a class of nonsmooth convex inequality constraints. The proposed neural network is modeled with a differential inclusion. Under a suitable assumption on the constraint set and a proper assumption on the objective function, it is proved that for a sufficiently large penalty parameter, there exists a unique global solution to the neural network and the trajectory of the network can reach the feasible region in finite time and stay there thereafter. It is proved that the trajectory of the neural network converges to the set which consists of the equilibrium points of the neural network, and coincides with the set which consists of the critical points of the objective function in the feasible region. A condition is given to ensure the convergence to the equilibrium point set in finite time. Moreover, under suitable assumptions, the coincidence between the solution to the differential inclusion and the "slow solution" of it is also proved. Furthermore, three typical examples are given to present the effectiveness of the theoretic results obtained in this paper and the good performance of the proposed neural network.

  9. Traffic sign recognition based on deep convolutional neural network

    Science.gov (United States)

    Yin, Shi-hao; Deng, Ji-cai; Zhang, Da-wei; Du, Jing-yuan

    2017-11-01

    Traffic sign recognition (TSR) is an important component of automated driving systems. It is a rather challenging task to design a high-performance classifier for the TSR system. In this paper, we propose a new method for TSR system based on deep convolutional neural network. In order to enhance the expression of the network, a novel structure (dubbed block-layer below) which combines network-in-network and residual connection is designed. Our network has 10 layers with parameters (block-layer seen as a single layer): the first seven are alternate convolutional layers and block-layers, and the remaining three are fully-connected layers. We train our TSR network on the German traffic sign recognition benchmark (GTSRB) dataset. To reduce overfitting, we perform data augmentation on the training images and employ a regularization method named "dropout". The activation function we employ in our network adopts scaled exponential linear units (SELUs), which can induce self-normalizing properties. To speed up the training, we use an efficient GPU to accelerate the convolutional operation. On the test dataset of GTSRB, we achieve the accuracy rate of 99.67%, exceeding the state-of-the-art results.

  10. ENERGY OPTIMIZATION IN CLUSTER BASED WIRELESS SENSOR NETWORKS

    Directory of Open Access Journals (Sweden)

    T. SHANKAR

    2014-04-01

    Full Text Available Wireless sensor networks (WSN are made up of sensor nodes which are usually battery-operated devices, and hence energy saving of sensor nodes is a major design issue. To prolong the networks lifetime, minimization of energy consumption should be implemented at all layers of the network protocol stack starting from the physical to the application layer including cross-layer optimization. Optimizing energy consumption is the main concern for designing and planning the operation of the WSN. Clustering technique is one of the methods utilized to extend lifetime of the network by applying data aggregation and balancing energy consumption among sensor nodes of the network. This paper proposed new version of Low Energy Adaptive Clustering Hierarchy (LEACH, protocols called Advanced Optimized Low Energy Adaptive Clustering Hierarchy (AOLEACH, Optimal Deterministic Low Energy Adaptive Clustering Hierarchy (ODLEACH, and Varying Probability Distance Low Energy Adaptive Clustering Hierarchy (VPDL combination with Shuffled Frog Leap Algorithm (SFLA that enables selecting best optimal adaptive cluster heads using improved threshold energy distribution compared to LEACH protocol and rotating cluster head position for uniform energy dissipation based on energy levels. The proposed algorithm optimizing the life time of the network by increasing the first node death (FND time and number of alive nodes, thereby increasing the life time of the network.

  11. A Practical Method ‘Discussion using Matrix Diagram’ , ConnectingHuman Base-Liberal-and Engineering Base-Professional-

    Science.gov (United States)

    Shimada, Wataru

    In order to bring up talented people, it is a most important subject how to awake ‘Emotional Human Power’ , which is the origin of Autonomy and Creativity. A Practical Method ‘Discussion using Matrix Diagram’ developed for improving ‘Emotional Human Power’ including ‘Communication Skill’ , is confirmed to be useful for connecting Human Base-Liberal-and Engineering Base-Professional-.

  12. Patterns in professional growth of science teachers involved in a team-based PD project

    DEFF Research Database (Denmark)

    Nielsen, Birgitte Lund

    and learning and subsequent discussion of this material. Repeated interviews were analyzed using an adapted version of the interconnected model of teachers’ professional growth. The results show various ways of experimenting with new approaches to be important for three of the teachers while a novice teacher......The outcomes experienced by four science teachers from a local science team are used to illustrate and discuss change sequences connected to their professional growth. The teachers participated in a year-long school-based experimental project, which involved collecting data about students’ thinking...... mainly refer to getting ideas from colleagues’ practice. Collegial interactions is mentioned by all teachers, but it cannot based on this study be seen as a growth factor in it-self, it is collegial interactions about experimenting in classrooms and/or about shared artifacts from practice...

  13. Patterns in professional growth of science teachers involved in a team-based PD project

    DEFF Research Database (Denmark)

    Nielsen, Birgitte Lund

    2011-01-01

    and learning and subsequent discussion of this material. Repeated interviews were analyzed using an adapted version of the interconnected model of teachers’ professional growth. The results show various ways of experimenting with new approaches to be important for three of the teachers while a novice teacher......The outcomes experienced by four science teachers from a local science team are used to illustrate and discuss change sequences connected to their professional growth. The teachers participated in a year-long school-based experimental project, which involved collecting data about students’ thinking...... mainly refer to getting ideas from colleagues’ practice. Collegial interactions is mentioned by all teachers, but it cannot based on this study be seen as a growth factor in it-self, it is collegial interactions about experimenting in classrooms and/or about shared artifacts from practice...

  14. Analysing the Correlation between Social Network Analysis Measures and Performance of Students in Social Network-Based Engineering Education

    Science.gov (United States)

    Putnik, Goran; Costa, Eric; Alves, Cátia; Castro, Hélio; Varela, Leonilde; Shah, Vaibhav

    2016-01-01

    Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment,…

  15. Risk Based Maintenance in Electricity Network Organisations

    NARCIS (Netherlands)

    Mehairjan, R.P.Y.

    2016-01-01

    Presently, maintenance management of assets in infrastructure utilities such as electricity, gas and water are widely undergoing changes towards new working environments. These are mainly driven against the background of stringent regulatory regimes, an ageing asset base, increased customer demands

  16. DMA Reference Base Station Network Data

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data (15,904 records documenting 9,090 worldwide gravity base stations) were gathered by various governmental organizations (and academia) using a variety of...

  17. A Security Assessment Mechanism for Software-Defined Networking-Based Mobile Networks

    Directory of Open Access Journals (Sweden)

    Shibo Luo

    2015-12-01

    Full Text Available Software-Defined Networking-based Mobile Networks (SDN-MNs are considered the future of 5G mobile network architecture. With the evolving cyber-attack threat, security assessments need to be performed in the network management. Due to the distinctive features of SDN-MNs, such as their dynamic nature and complexity, traditional network security assessment methodologies cannot be applied directly to SDN-MNs, and a novel security assessment methodology is needed. In this paper, an effective security assessment mechanism based on attack graphs and an Analytic Hierarchy Process (AHP is proposed for SDN-MNs. Firstly, this paper discusses the security assessment problem of SDN-MNs and proposes a methodology using attack graphs and AHP. Secondly, to address the diversity and complexity of SDN-MNs, a novel attack graph definition and attack graph generation algorithm are proposed. In order to quantify security levels, the Node Minimal Effort (NME is defined to quantify attack cost and derive system security levels based on NME. Thirdly, to calculate the NME of an attack graph that takes the dynamic factors of SDN-MN into consideration, we use AHP integrated with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS as the methodology. Finally, we offer a case study to validate the proposed methodology. The case study and evaluation show the advantages of the proposed security assessment mechanism.

  18. A Security Assessment Mechanism for Software-Defined Networking-Based Mobile Networks.

    Science.gov (United States)

    Luo, Shibo; Dong, Mianxiong; Ota, Kaoru; Wu, Jun; Li, Jianhua

    2015-12-17

    Software-Defined Networking-based Mobile Networks (SDN-MNs) are considered the future of 5G mobile network architecture. With the evolving cyber-attack threat, security assessments need to be performed in the network management. Due to the distinctive features of SDN-MNs, such as their dynamic nature and complexity, traditional network security assessment methodologies cannot be applied directly to SDN-MNs, and a novel security assessment methodology is needed. In this paper, an effective security assessment mechanism based on attack graphs and an Analytic Hierarchy Process (AHP) is proposed for SDN-MNs. Firstly, this paper discusses the security assessment problem of SDN-MNs and proposes a methodology using attack graphs and AHP. Secondly, to address the diversity and complexity of SDN-MNs, a novel attack graph definition and attack graph generation algorithm are proposed. In order to quantify security levels, the Node Minimal Effort (NME) is defined to quantify attack cost and derive system security levels based on NME. Thirdly, to calculate the NME of an attack graph that takes the dynamic factors of SDN-MN into consideration, we use AHP integrated with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) as the methodology. Finally, we offer a case study to validate the proposed methodology. The case study and evaluation show the advantages of the proposed security assessment mechanism.

  19. Contingent approach to Internet-based supply network integration

    Science.gov (United States)

    Ho, Jessica; Boughton, Nick; Kehoe, Dennis; Michaelides, Zenon

    2001-10-01

    The Internet is playing an increasingly important role in enhancing the operations of supply networks as many organizations begin to recognize the benefits of Internet- enabled supply arrangements. However, the developments and applications to-date do not extend significantly beyond the dyadic model, whereas the real advantages are to be made with the external and network models to support a coordinated and collaborative based approach. The DOMAIN research group at the University of Liverpool is currently defining new Internet- enabled approaches to enable greater collaboration across supply chains. Different e-business models and tools are focusing on different applications. Using inappropriate e- business models, tools or techniques will bring negative results instead of benefits to all the tiers in the supply network. Thus there are a number of issues to be considered before addressing Internet based supply network integration, in particular an understanding of supply chain management, the emergent business models and evaluating the effects of deploying e-business to the supply network or a particular tier. It is important to utilize a contingent approach to selecting the right e-business model to meet the specific supply chain requirements. This paper addresses the issues and provides a case study on the indirect materials supply networks.

  20. Network-based reading system for lung cancer screening CT

    Science.gov (United States)

    Fujino, Yuichi; Fujimura, Kaori; Nomura, Shin-ichiro; Kawashima, Harumi; Tsuchikawa, Megumu; Matsumoto, Toru; Nagao, Kei-ichi; Uruma, Takahiro; Yamamoto, Shinji; Takizawa, Hotaka; Kuroda, Chikazumi; Nakayama, Tomio

    2006-03-01

    This research aims to support chest computed tomography (CT) medical checkups to decrease the death rate by lung cancer. We have developed a remote cooperative reading system for lung cancer screening over the Internet, a secure transmission function, and a cooperative reading environment. It is called the Network-based Reading System. A telemedicine system involves many issues, such as network costs and data security if we use it over the Internet, which is an open network. In Japan, broadband access is widespread and its cost is the lowest in the world. We developed our system considering human machine interface and security. It consists of data entry terminals, a database server, a computer aided diagnosis (CAD) system, and some reading terminals. It uses a secure Digital Imaging and Communication in Medicine (DICOM) encrypting method and Public Key Infrastructure (PKI) based secure DICOM image data distribution. We carried out an experimental trial over the Japan Gigabit Network (JGN), which is the testbed for the Japanese next-generation network, and conducted verification experiments of secure screening image distribution, some kinds of data addition, and remote cooperative reading. We found that network bandwidth of about 1.5 Mbps enabled distribution of screening images and cooperative reading and that the encryption and image distribution methods we proposed were applicable to the encryption and distribution of general DICOM images via the Internet.