Science.gov

Sample records for home information network

  1. Latest Trends in Home Networking Technologies

    NASA Astrophysics Data System (ADS)

    Tsutsui, Akihiro

    Broadband access service, including FTTH, is now in widespread use in Japan. More than half of the households that have broadband Internet access construct local area networks (home networks) in their homes. In addition, information appliances such as personal computers, networked audio, and visual devices and game machines are connected to home networks, and many novel service applications are provided via the Internet. However, it is still difficult to install and incorporate these devices and services because networked devices have been developed in different communities. I briefly explain the current status of information appliances and home networking technologies and services and discuss some of the problems in this and their solutions.

  2. Quantum information to the home

    NASA Astrophysics Data System (ADS)

    Choi, Iris; Young, Robert J.; Townsend, Paul D.

    2011-06-01

    Information encoded on individual quanta will play an important role in our future lives, much as classically encoded digital information does today. Combining quantum information carried by single photons with classical signals encoded on strong laser pulses in modern fibre-to-the-home (FTTH) networks is a significant challenge, the solution to which will facilitate the global distribution of quantum information to the home and with it a quantum internet [1]. In real-world networks, spontaneous Raman scattering in the optical fibre would induce crosstalk between the high-power classical channels and a single-photon quantum channel, such that the latter is unable to operate. Here, we show that the integration of quantum and classical information on an FTTH network is possible by performing quantum key distribution (QKD) on a network while simultaneously transferring realistic levels of classical data. Our novel scheme involves synchronously interleaving a channel of quantum data with the Raman scattered photons from a classical channel, exploiting the periodic minima in the instantaneous crosstalk and thereby enabling secure QKD to be performed.

  3. Creating a national home visiting research network.

    PubMed

    Duggan, Anne; Minkovitz, Cynthia S; Chaffin, Mark; Korfmacher, Jon; Brooks-Gunn, Jeanne; Crowne, Sarah; Filene, Jill; Gonsalves, Kay; Landsverk, John; Harwood, Robin

    2013-11-01

    Home visiting can play a key role in the early childhood system of services. For home visiting to achieve its potential, decision-makers must make informed choices regarding adoption, adaptation, coordination, scale-up, and sustainment. We need a coordinated, focused, and theory-based home visiting research infrastructure to inform such decisions. The transdisciplinary Home Visiting Research Network (HVRN) was established in July 2012 with funding from the Health Resources and Services Administration. Its goal is to promote the translation of research findings into policy and practice. Its objectives are to (1) develop a national home visiting research agenda, (2) advance the use of innovative research methods; and (3) provide a research environment that is supportive of the professional development of emerging researchers interested in home visiting. A Management Team designs and directs activities to achieve these objectives through Work Teams. A Steering Committee of national leaders representing stakeholder groups oversees progress. HVRN's Coordinating Center supports the Work Teams and HVRN's Home visiting Applied Research Collaborative, a practice-based research network of home visiting programs. This article describes HVRN's rationale, approach, and anticipated products. We use home visiting-primary care coordination as an illustration, noting potential roles for pediatric practices and pediatric researchers and research educators in HVRN activities. HVRN creates the infrastructure for a rigorous program of research to inform policy and practice on home visiting as part of the system of services to improve family functioning, parenting, and child outcomes.

  4. Home Area Networks and the Smart Grid

    SciTech Connect

    Clements, Samuel L.; Carroll, Thomas E.; Hadley, Mark D.

    2011-04-01

    With the wide array of home area network (HAN) options being presented as solutions to smart grid challenges for the home, it is time to compare and contrast their strengths and weaknesses. This white paper examines leading and emerging HAN technologies. The emergence of the smart grid is bringing more networking players into the field. The need for low consistent bandwidth usage differs enough from the traditional information technology world to open the door to new technologies. The predominant players currently consist of a blend of the old and new. Within the wired world Ethernet and HomePlug Green PHY are leading the way with an advantage to HomePlug because it doesn't require installing new wires. In the wireless the realm there are many more competitors but WiFi and ZigBee seem to have the most momentum.

  5. Social Networks and Home-Schooling Relations.

    ERIC Educational Resources Information Center

    Graue, M. Elizabeth

    1993-01-01

    Describes how parents in two communities constructed their roles in a social context shaped by economic resources, local notions of home-school relations, and information networks. Examines parenting as a social activity internalized by individuals through their daily interactions. Shows how family-role perceptions and school practices are…

  6. Home Care Nursing via Computer Networks: Justification and Design Specifications

    PubMed Central

    Brennan, Patricia Flatley

    1988-01-01

    High-tech home care includes the use of information technologies, such as computer networks, to provide direct care to patients in the home. This paper presents the justification and design of a project using a free, public access computer network to deliver home care nursing. The intervention attempts to reduce isolation and improve problem solving among home care patients and their informal caregivers. Three modules comprise the intervention: a decision module, a communications module, and an information data base. This paper describes the experimental evaluation of the project, and discusses issues in the delivery of nursing care via computers.

  7. Connecting to the Internet Securely; Protecting Home Networks CIAC-2324

    SciTech Connect

    Orvis, W J; Krystosek, P; Smith, J

    2002-11-27

    With more and more people working at home and connecting to company networks via the Internet, the risk to company networks to intrusion and theft of sensitive information is growing. Working from home has many positive advantages for both the home worker and the company they work for. However, as companies encourage people to work from home, they need to start considering the interaction of the employee's home network and the company network he connects to. This paper discusses problems and solutions related to protection of home computers from attacks on those computers via the network connection. It does not consider protection of those systems from people who have physical access to the computers nor does it consider company laptops taken on-the-road. Home networks are often targeted by intruders because they are plentiful and they are usually not well secured. While companies have departments of professionals to maintain and secure their networks, home networks are maintained by the employee who may be less knowledgeable about network security matters. The biggest problems with home networks are that: Home networks are not designed to be secure and may use technologies (wireless) that are not secure; The operating systems are not secured when they are installed; The operating systems and applications are not maintained (for security considerations) after they are installed; and The networks are often used for other activities that put them at risk for being compromised. Home networks that are going to be connected to company networks need to be cooperatively secured by the employee and the company so they do not open up the company network to intruders. Securing home networks involves many of the same operations as securing a company network: Patch and maintain systems; Securely configure systems; Eliminate unneeded services; Protect remote logins; Use good passwords; Use current antivirus software; and Moderate your Internet usage habits. Most of these items

  8. Health "Smart" home: information technology for patients at home.

    PubMed

    Rialle, Vincent; Duchene, Florence; Noury, Norbert; Bajolle, Lionel; Demongeot, Jacques

    2002-01-01

    This article reviews the emerging concept of health "Smart" homes (HSH) and its potential through the use of telemedical information systems and communication technologies. HSH systems provide health care services for people with special needs who wish to remain independent and living in their own home. The large diversity of needs in a home-based patient population requires complex technology. Meeting these needs technically requires the use of a distributed approach and the combination of many hardware and software techniques. We also describe the wide scope of new information, communication, and data-acquisition technologies used in home health care. We offer an introduction to the HSH concept in terms of technical, economic, and human requirements. Examples of HSH projects are presented, including a short description of our own smart home and telehealthcare information system project.

  9. Introducing information technology into the home: conducting a home assessment.

    PubMed Central

    Zayas-Cabán, Teresa

    2002-01-01

    Abstract As the home becomes an increasingly important site for health care, an increasing number of technology applications or devices are being introduced to support health at home. However, introducing new technology into a household raises a number of issues that must be considered prior to, during, and after the technology is implemented. This paper reviews the experiences of the UW-Madison Advanced Technologies for Health@Home Project, summarizing our assessment of household requirements that should be analyzed prior to introducing new technology. The overall goal of the Health@Home project is to improve the functionality and content of information technology innovations for the home. Using Venkatesh and Mazumdar's framework this article will summarize the relevant social, behavioral, technological, and physical dimensions of households that must be carefully assessed and understood to help ensure that the technology fits the needs of home residents. PMID:12463960

  10. Medication Information Flow in Home Care.

    PubMed

    Norri-Sederholm, Teija; Saranto, Kaija; Paakkonen, Heikki

    2016-01-01

    Critical success factors in medication care involve communication and information sharing. Knowing the information needs of each actor in medication process in home care, is the first step to ensure that the right type of information is available, when needed. The aim of the study was to describe the needed and delivered information in home care in order to perform medication care successfully. A total of 15 nurses from primary home care participated a workshop focusing on medication treatment. The qualitative data was collected by focus group technique. Data was analyzed according to content analysis. Three medication information themes were formulated: Client-related information, medication, and medication error. The critical medication information were generic drug information, validity of the list of medication and client's clinical status. As a conclusion findings, show the diversity of the medication information in home care.

  11. Home-School Links: Networking the Learning Community.

    ERIC Educational Resources Information Center

    1996

    The topic of networking the learning community with home-school links is addressed in four papers: "Internet Access via School: Expectations of Students and Parents" (Roy Crotty); "The School Library as Community Information Gateway" (Megan Perry); "Rural Access to the Internet" (Ken Eustace); and "NetDay '96:…

  12. Information network architectures

    NASA Technical Reports Server (NTRS)

    Murray, N. D.

    1985-01-01

    Graphs, charts, diagrams and outlines of information relative to information network architectures for advanced aerospace missions, such as the Space Station, are presented. Local area information networks are considered a likely technology solution. The principle needs for the network are listed.

  13. Fiber to the home: next generation network

    NASA Astrophysics Data System (ADS)

    Yang, Chengxin; Guo, Baoping

    2006-07-01

    Next generation networks capable of carrying converged telephone, television (TV), very high-speed internet, and very high-speed bi-directional data services (like video-on-demand (VOD), Game etc.) strategy for Fiber To The Home (FTTH) is presented. The potential market is analyzed. The barriers and some proper strategy are also discussed. Several technical problems like various powering methods, optical fiber cables, and different network architecture are discussed too.

  14. Hospital information technology in home care.

    PubMed

    Zhang, Xiao-Ying; Zhang, Pei-Ying

    2016-10-01

    The utilization of hospital information technology (HIT) as a tool for home care is a recent trend in health science. Subjects gaining benefits from this new endeavor include middle-aged individuals with serious chronic illness living at home. Published data on the utilization of health care information technology especially for home care in chronic illness patients have increased enormously in recent past. The common chronic illnesses reported in these studies were primarily on heart and lung diseases. Furthermore, health professionals have confirmed in these studies that HIT was beneficial in gaining better access to information regarding their patients and they were also able to save that information easily for future use. On the other hand, some health professional also observed that the use of HIT in home care is not suitable for everyone and that individuals cannot be replaced by HIT. On the whole it is clear that the use of HIT could complement communication in home care. The present review aims to shed light on these latest aspects of the health care information technology in home care.

  15. Social Networks among Residents in Recovery Homes.

    PubMed

    Jason, Leonard; Stevens, Ed; Ferrari, Joseph R; Thompson, Erin; Legler, Ray

    2012-05-26

    Although evidence exists that substance abuse abstinence is enhanced when individuals in recovery are embedded in social networks that are cohesive, few studies examined the network structures underlying recovery home support systems. In two studies, we investigated the mechanisms through which social environments affect health outcomes among two samples of adult residents of recovery homes. Findings from Study 1 (n = 150) indicated that network size and the presence of relationships with other Oxford House (OH) residents both predicted future abstinence. Study 2 (n = 490) included individuals who lived in an OH residence for up to 6 months, and their personal relationship with other house residents predicted future abstinence. Implications of these findings are discussed.

  16. Energy Consumption Information Services for Smart Home Inhabitants

    NASA Astrophysics Data System (ADS)

    Schwanzer, Michael; Fensel, Anna

    We investigate services giving users an adequate insight on his or her energy consumption habits in order to optimize it in the long run. The explored energy awareness services are addressed to inhabitants of smart homes, equipped with smart meters, advanced communication facilities, sensors and actuators. To analyze the potential of such services, a game at a social network Facebook has been designed and implemented, and the information about players' responses and interactions within the game environment has been collected and analyzed. The players have had their virtual home energy usage visualized in different ways, and had to optimize the energy consumption basing on their own perceptions of the consumption information. Evaluations reveal, in particular, that users are specifically responsive to information shown as a real-time graph and as costs in Euro, and are able to produce and share with each other policies for managing their smart home environments.

  17. Health Information Technology and Nursing Homes

    ERIC Educational Resources Information Center

    Liu, Darren

    2009-01-01

    Nursing homes are considered lagging behind in adopting health information technology (HIT). Many studies have highlighted the use of HIT as a means of improving health care quality. However, these studies overwhelmingly do not provide empirical information proving that HIT can actually achieve these improvements. The main research goal of this…

  18. Information Networks in Biomedicine

    ERIC Educational Resources Information Center

    Millard, William L.

    1975-01-01

    Describes current biomedical information networks, focusing on those with an educational function, and elaborates on the problems encountered in planning, implementing, utilizing and evaluating such networks. Journal of Biocommunication, T. Banks, Educ. TV-431N, U. of Calif., San Francisco 94143. Subscription Rates: individuals and libraries,…

  19. Congenital Heart Information Network

    MedlinePlus

    ... Baemayr for The Congenital Heart Information Network Exempt organization under Section 501(c)3. Copyright ©1996 - 2016 C.H.I.N. All rights reserved TX4-390-685 Original site design and HTML by Panoptic Communications

  20. Dynamic Social Networks in Recovery Homes

    PubMed Central

    Jason, Leonard A.; Light, John M.; Stevens, Edward B.; Beers, Kimberly

    2013-01-01

    Acute treatment aftercare in the form of sober living environments—i.e., recovery houses—provide an inexpensive and effective medium-term treatment alternative for many with substance use disorders. Limited evidence suggests that house-situated social relationships and associated social support are critical determinants of how successful these residential experiences are for their members, but little is known about the mechanisms underlying these relationships. This study explored the feasibility of using dynamic social network modeling to understand house-situated longitudinal associations among individual Alcoholics Anonymous (AA) related recovery behaviors, length of residence, dyadic interpersonal trust, and dyadic confidant relationship formation processes. Trust and confidant relationships were measured 3 months apart in U.S. urban-area recovery houses, all of which were part of a network of substance use recovery homes. A stochastic actor-based model was successfully estimated from this data set. Results suggest that confidant relationships are predicted by trust, while trust is affected by recovery behaviors and length of residence. Conceptualizing recovery houses as a set of independent, evolving social networks that can be modeled jointly appears to be a promising direction for research. PMID:24217855

  1. Compassionate community networks: supporting home dying.

    PubMed

    Abel, Julian; Bowra, Jon; Walter, Tony; Howarth, Glennys

    2011-09-01

    How may communities be mobilised to help someone dying at home? This conceptual article outlines the thinking behind an innovative compassionate community project being developed at Weston-super-Mare, UK. In this project, a health professional mentors the dying person and their carer to identify and match: (a) the tasks that need to be done and (b) the members of their social network who might help with these tasks. Network members may subsequently join a local volunteer force to assist others who are network poor. Performing practical tasks may be more acceptable to some family, friends and neighbours than having to engage in a conversation about dying, and provides a familiarity with dying that is often lacking in modern societies, so in this model, behavioural change precedes attitudinal change. The scheme rejects a service delivery model of care in favour of a community development model, but differs from community development schemes in which the mentor is a volunteer rather than a health professional, and also from those approaches that strive to build community capacity before any one individual dying person is helped. The pros and cons of each approach are discussed. There is a need for evaluation of this and similar schemes, and for basic research into naturally occurring resource mobilisation at the end of life.

  2. Home medical monitoring network based on embedded technology

    NASA Astrophysics Data System (ADS)

    Liu, Guozhong; Deng, Wenyi; Yan, Bixi; Lv, Naiguang

    2006-11-01

    Remote medical monitoring network for long-term monitoring of physiological variables would be helpful for recovery of patients as people are monitored at more comfortable conditions. Furthermore, long-term monitoring would be beneficial to investigate slowly developing deterioration in wellness status of a subject and provide medical treatment as soon as possible. The home monitor runs on an embedded microcomputer Rabbit3000 and interfaces with different medical monitoring module through serial ports. The network based on asymmetric digital subscriber line (ADSL) or local area network (LAN) is established and a client - server model, each embedded home medical monitor is client and the monitoring center is the server, is applied to the system design. The client is able to provide its information to the server when client's request of connection to the server is permitted. The monitoring center focuses on the management of the communications, the acquisition of medical data, and the visualization and analysis of the data, etc. Diagnosing model of sleep apnea syndrome is built basing on ECG, heart rate, respiration wave, blood pressure, oxygen saturation, air temperature of mouth cavity or nasal cavity, so sleep status can be analyzed by physiological data acquired as people in sleep. Remote medical monitoring network based on embedded micro Internetworking technology have advantages of lower price, convenience and feasibility, which have been tested by the prototype.

  3. Florida Information Resource Network.

    ERIC Educational Resources Information Center

    Watson, Francis C.

    1986-01-01

    The Florida Information Resource Network (FIRN) is an effort by the Florida education community and the Florida Legislature to provide an electronic link among all agencies, institutions, and schools in the public education system. The communications link, perhaps one of the most advanced in the nation, has three purposes: (1) to provide equal…

  4. Information cascade on networks

    NASA Astrophysics Data System (ADS)

    Hisakado, Masato; Mori, Shintaro

    2016-05-01

    In this paper, we discuss a voting model by considering three different kinds of networks: a random graph, the Barabási-Albert (BA) model, and a fitness model. A voting model represents the way in which public perceptions are conveyed to voters. Our voting model is constructed by using two types of voters-herders and independents-and two candidates. Independents conduct voting based on their fundamental values; on the other hand, herders base their voting on the number of previous votes. Hence, herders vote for the majority candidates and obtain information relating to previous votes from their networks. We discuss the difference between the phases on which the networks depend. Two kinds of phase transitions, an information cascade transition and a super-normal transition, were identified. The first of these is a transition between a state in which most voters make the correct choices and a state in which most of them are wrong. The second is a transition of convergence speed. The information cascade transition prevails when herder effects are stronger than the super-normal transition. In the BA and fitness models, the critical point of the information cascade transition is the same as that of the random network model. However, the critical point of the super-normal transition disappears when these two models are used. In conclusion, the influence of networks is shown to only affect the convergence speed and not the information cascade transition. We are therefore able to conclude that the influence of hubs on voters' perceptions is limited.

  5. Computer and information networks.

    PubMed

    Greenberger, M; Aronofsky, J; McKenney, J L; Massy, W F

    1973-10-05

    The most basic conclusion coming out of the EDUCOM seminars is that computer networking must be acknowledged as an important new mode for obtaining information and computation (15). It is a real alternative that needs to be given serious attention in current planning and decision-making. Yet the fact is that many institutions are not taking account of networks when they confer on whether or how to replace their main computer. Articulation of the possibilities of computer networks goes back to the early 1960's and before, and working networks have been in evidence for several years now, both commercially and in universities. What is new, however, is the unmistakable recognition-bordering on a sense of the inevitable-that networks are finally practical and here to stay. The visionary and promotional phases of computer networks are over. It is time for hard-nosed comparative analysis (16). Another conclusion of the seminars has to do with the factors that hinder the fuller development of networking. The major problems to be overcome in applying networks to research and education are political, organizational, and economic in nature rather than technological. This is not to say that the hardware and software problems of linking computers and information systems are completely solved, but they are not the big bottlenecks at present. Research and educational institutions must find ways to organize themselves as well as their computers to work together for greater resource sharing. The coming of age of networks takes on special significance as a result of widespread dissatisfactions expressed with the present computing situation. There is a feeling that the current mode of autonomous, self-sufficient operation in the provision of computing and information services is frequently wasteful, deficient, and unresponsive to users' needs because of duplication of effort from one installation to another, incompatibilities, and inadequate documentation, program support, and user

  6. Information needs in home based healthcare in South Africa.

    PubMed

    de la Harpe, Retha; Barnes, Jay; Korpela, Mikko

    2010-01-01

    Home based health care (HBHC) is advocated by the WHO "to ensure better accessibility to effective and efficient health care in community and home-settings to improve health and well-being, and contribute to morbidity and mortality reduction". In South Africa the government and many other role players see an increasingly important role for HBHC. Many researchers believe that the evolution of HBHC will follow the socio-technical network evolution. There can be no doubt that the focus is on using information and communication technologies (ICT) to implement HBHC solutions. The objective of this paper is to provide a rich picture of the current situation and needs for improvement in HBHC in South Africa today through descriptive research in one specific case. The longer-term purpose is to identify pain-points that require socio-technical solutions, including but not exclusively ICT-supported solutions.

  7. Old Buildings Broadband Home Networks: Technologies and Services Overview

    NASA Astrophysics Data System (ADS)

    Fantacci, Romano; Pecorella, Tommaso; Micciullo, Luigia; Viti, Roberto; Pasquini, Vincenzo; Calì, Marco

    2014-05-01

    Internet broadband access is becoming a reality in many countries. To fully exploit the benefits from high-speed connection, both suitable home network connectivity and advanced services support have to be made available to the user. In this article, issues relative to the upgrade of existing home networks, particularly in old buildings, together with networking and security requirements are addressed, and possible solutions are proposed.

  8. Building a Shared Information Network.

    ERIC Educational Resources Information Center

    Stanat, Ruth

    1991-01-01

    Discussion of information needs in a business environment focuses on how to build a shared information network. Highlights include the evolution of corporate intelligence systems; results of a survey that examined the information networking needs of large corporations; and a case study of the development of an information network at Citibank N.A.…

  9. Home Away from Home: International Students and Their Identity-Based Social Networks in Australia

    ERIC Educational Resources Information Center

    Gomes, Catherine; Berry, Marsha; Alzougool, Basil; Chang, Shanton

    2014-01-01

    This paper explores the role of identity in helping international students form social networks at an Australian institution and how these networks contribute to creating a sense of home away. The findings suggest that international students form distinct social networks that are not necessarily solely made up of fellow students from their home…

  10. Latest Technologies and Future Trends on Home Networks

    NASA Astrophysics Data System (ADS)

    Sakata, Shiro; Matsumoto, Seiichiro

    With the outstanding growth of communication and device technologies, various kinds of digital appliances have been introduced into home, and expectations toward home network which interconnects and controls such appliances have been rapidly emerging. This article describes the latest technologies and future trends on home network in which wireless network including wireless Personal Area Network (PAN) such as sensor network plays a vital role. The network includes wireless LAN, Ultra Wide Band (UWB), ZigBee sensor network and Power Line Communication (PLC). ECHONET which is a defacto standard for accommodating energy efficient legacy appliance control is also briefly introduced. As one of the key functions for seamless interconnection of digital appliances, protocol standardization is essential. This article addresses the defacto middleware architectures such as Universal Plug and Play (UPnP), Digital Living Networking Alliance (DLNA) and Open Service Gateway initiative (OSGi) which involve the standard protocols and message formats. Finally, seamless integration between in-house and outdoor networks, and in-house network interconnection between e.g. wireless LAN as a backbone and sensor network as a branch are presented as a future image of home network environment.

  11. Scholarly Information Network

    NASA Astrophysics Data System (ADS)

    Ginsparg, Paul

    I review the background and some recent trends of a particular scholarly information network, arXiv.org, and discuss some of its implications for new scholarly publication models. If we were to start from scratch today to design a quality-controlled archive and distribution system for scientific and technical information, it could take a very different form from what has evolved in the past decade from pre-existing print infrastructure. Near-term advances in automated classification systems, authoring tools, and document formats will facilitate efficient datamining and long-term archival stability, and I discuss how these could provide not only more efficient means of accessing and navigating the information, but also more cost-effective means of authentication and quality control. Finally, I illustrate the use of machine learning techniques to analyze, structure, maintain, and evolve a large online corpus of academic literature. An emerging field of research can be identified as part of an existing corpus, permitting the implementation of a more coherent community structure for its network of practitioners.

  12. 77 FR 45719 - Proposed Information Collection (Per Diem for Nursing Home Care of Veterans in State Homes; Per...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-08-01

    ... Information Collection (Per Diem for Nursing Home Care of Veterans in State Homes; Per Diem for Adult Day Care... solicits comments on information needed to ensure that nursing home and adult day health care facilities... approved collection. Abstract: VA pays per diem to State homes providing nursing home and adult day...

  13. Geoscience Information Network

    NASA Astrophysics Data System (ADS)

    Allison, M. L.; Gundersen, L. C.

    2007-12-01

    Geological surveys in the USA have an estimated 2,000-3,000 databases that represent one of the largest, long- term information resources on the geology of the United States and collectively constitute a national geoscience data "backbone" for research and applications. An NSF-supported workshop in February, 2007, among representatives of the Association of American State Geologists (AASG) and the USGS, recommended that "the nation's geological surveys develop a national geoscience information framework that is distributed, interoperable, uses open source standards and common protocols, respects and acknowledges data ownership, fosters communities of practice to grow, and develops new web services and clients." The AASG and USGS have formally endorsed the workshop recommendations and formed a joint Steering Committee to pursue design and implementation of the Geoscience Information Network (GIN). GIN is taking a modular approach in assembling the network: 1. Agreement on open-source standards and common protocols through the use of Open Geospatial Consortium (OGC) standards. 2. A data exchange model utilizing the geoscience mark-up language GeoSciML, an OGC GML-based application. 3. A prototype data discovery tool (National Digital Catalogue - NDC) developing under the National Geological and Geophysical Data Preservation Program run by the USGS. 4. Data integration tools developed or planned by a number of independent projects. A broader NSF-sponsored workshop in March 2007 examined what direction the geoinformatics community in the US should take towards developing a National Geoinformatics System. The final report stated that, "It was clear that developing such a system should involve a partnership between academia, government, and industry that should be closely connected to the efforts of the U. S. Geological Survey and the state geological surveys..." The GIN is collaborating with 1-G Europe, a coalition of 27 European geological surveys in the One

  14. VB Home Improvement, LLC Information Sheet

    EPA Pesticide Factsheets

    VB Home Improvement, LLC (the Company) is located in Hamden, Connecticut. The settlement involves renovation activities conducted at property constructed prior to 1978, located in New Haven, Connecticut.

  15. Doug Jones Home Improvement Information Sheet

    EPA Pesticide Factsheets

    Doug Jones Home Improvement (the Company) is located in Louisville, Kentucky. The settlement involves renovation activities conducted at property constructed prior to 1978, located in Louisville, Kentucky.

  16. Don Sharp Home Improvements Information Sheet

    EPA Pesticide Factsheets

    Don Sharp Home Improvements (the Company) is located in Bartlett, Tennessee. The settlement involves renovation activities conducted at property constructed prior to 1978, located in Memphis, Tennessee.

  17. Economy Home Improvement, Inc. Information Sheet

    EPA Pesticide Factsheets

    Economy Home Improvement, Inc. (the Company) is located in Lexington, Kentucky. The settlement involves renovation activities conducted at a property constructed prior to 1978, located in Lexington, Kentucky.

  18. MoCA: ubiquitous multimedia networking in the home

    NASA Astrophysics Data System (ADS)

    Ovadia, Shlomo

    2007-09-01

    The Multimedia-over-Coax Alliance (MoCA) standard is rapidly emerging as the de-facto standard in North America for multimedia home networking. This is driven by the desire to have digital content from various sources such as DVRs, audio devices and PCs reliably available anywhere in the home using the in-home existing coaxial cable wiring. The MoCA technology coexists with other services at the home such as cable TV, cable modem, and satellite services. This technology achieves MAC throughputs exceeding 100 Mb/s in 97% of all outlets in the home with no changes to the home coax infrastructure, and with packet error rates less than 10 -5, and with an average latency of less than 3.5 milliseconds based on extensive field trial results.

  19. The Library as Information Provider: The Home Page.

    ERIC Educational Resources Information Center

    Clyde, Laurel A.

    1996-01-01

    Discusses ways in which libraries are using the World Wide Web to provide information via a home page, based on information from a survey in Iceland as well as a larger study that conducted content analyses of home pages of public and school libraries in 13 countries. (Author/LRW)

  20. Problems With Deployment of Multi-Domained, Multi-Homed Mobile Networks

    NASA Technical Reports Server (NTRS)

    Ivancic, William D.

    2008-01-01

    This document describes numerous problems associated with deployment of multi-homed mobile platforms consisting of multiple networks and traversing large geographical areas. The purpose of this document is to provide insight to real-world deployment issues and provide information to groups that are addressing many issues related to multi-homing, policy-base routing, route optimization and mobile security - particularly those groups within the Internet Engineering Task Force.

  1. Extracting information from multiplex networks

    NASA Astrophysics Data System (ADS)

    Iacovacci, Jacopo; Bianconi, Ginestra

    2016-06-01

    Multiplex networks are generalized network structures that are able to describe networks in which the same set of nodes are connected by links that have different connotations. Multiplex networks are ubiquitous since they describe social, financial, engineering, and biological networks as well. Extending our ability to analyze complex networks to multiplex network structures increases greatly the level of information that is possible to extract from big data. For these reasons, characterizing the centrality of nodes in multiplex networks and finding new ways to solve challenging inference problems defined on multiplex networks are fundamental questions of network science. In this paper, we discuss the relevance of the Multiplex PageRank algorithm for measuring the centrality of nodes in multilayer networks and we characterize the utility of the recently introduced indicator function Θ ˜ S for describing their mesoscale organization and community structure. As working examples for studying these measures, we consider three multiplex network datasets coming for social science.

  2. Extracting information from multiplex networks.

    PubMed

    Iacovacci, Jacopo; Bianconi, Ginestra

    2016-06-01

    Multiplex networks are generalized network structures that are able to describe networks in which the same set of nodes are connected by links that have different connotations. Multiplex networks are ubiquitous since they describe social, financial, engineering, and biological networks as well. Extending our ability to analyze complex networks to multiplex network structures increases greatly the level of information that is possible to extract from big data. For these reasons, characterizing the centrality of nodes in multiplex networks and finding new ways to solve challenging inference problems defined on multiplex networks are fundamental questions of network science. In this paper, we discuss the relevance of the Multiplex PageRank algorithm for measuring the centrality of nodes in multilayer networks and we characterize the utility of the recently introduced indicator function Θ̃(S) for describing their mesoscale organization and community structure. As working examples for studying these measures, we consider three multiplex network datasets coming for social science.

  3. 78 FR 29439 - Proposed Information Collection (Request for Nursing Home Information in Connection With Claim...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-20

    ... AFFAIRS Proposed Information Collection (Request for Nursing Home Information in Connection With Claim for... who are patients in nursing home. DATES: Written comments and recommendations on the proposed...: Request for Nursing Home Information in Connection with Claim for Aid and Attendance, VA Form 21-0779....

  4. 75 FR 56662 - Agency Information Collection (Request for Nursing Home Information in Connection With Claim for...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-16

    ... AFFAIRS Agency Information Collection (Request for Nursing Home Information in Connection With Claim for... . Please refer to ``OMB Control No. 2900-0652.'' SUPPLEMENTARY INFORMATION: Title: Request for Nursing Home... 21-0779 is used to determine veterans residing in nursing homes eligibility for pension and aid...

  5. 75 FR 39622 - Proposed Information Collection (Request for Nursing Home Information in Connection with Claim...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-09

    ... AFFAIRS Proposed Information Collection (Request for Nursing Home Information in Connection with Claim for... who are patients in nursing home. DATES: Written comments and recommendations on the proposed.... Title: Request for Nursing Home Information in Connection with Claim for Aid and Attendance, VA Form...

  6. Information Networking in Population Education.

    ERIC Educational Resources Information Center

    United Nations Educational, Scientific, and Cultural Organization, Bangkok (Thailand). Regional Office for Education in Asia and the Pacific.

    The rapidly increasing body of knowledge in population education has created the need for systematic and effective information services. Information networking entails sharing resources so that the information needs of all network participants are met. The goals of this manual are to: (1) instill in population education specialists a more…

  7. Sears Home Improvement Products, Inc. Information Sheet

    EPA Pesticide Factsheets

    Sears Home Improvement Products, Inc. (the Company) is located in Longwood, Florida. The case involves renovation activities conducted at property constructed prior to 1978, located in cities across Minnesota, Wisconsin, California, Georgia, Nevada.

  8. Paradise Home Improvement, LLC Information Sheet

    EPA Pesticide Factsheets

    Paradise Home Improvement, LLC (the Company) is located in Greenville, South Carolina. The settlement involves renovation activities conducted at one or more properties constructed prior to 1978, located in Spartansburg, Williamston, Seneca, Simpsonville

  9. Clearview Home Improvements, Inc. Information Sheet

    EPA Pesticide Factsheets

    Clearview Home Improvements, Inc. (the Company) is located in Anaheim, California. The settlement involves renovation activities conducted at property constructed prior to 1978, located in several cities in California.

  10. Economic evaluation of broadband distribution networks to the home

    NASA Astrophysics Data System (ADS)

    Merk, Charles A.

    1992-02-01

    Economic wideband, linear fiber optic transmitters and receivers pave the way for broadband to the home. The diamond network architecture (DNA) delivers 1 GHz bandwidth. This provides standard video, HDTV, and switched two-way broadband digital services to the home. An economic model is presented using the DNA that considers the impact of digital TV, HDTV, and the evolution of switched voice and data services on a CATV system.

  11. Home Network Technologies and Automating Demand Response

    SciTech Connect

    McParland, Charles

    2009-12-01

    energy consumers, it has been possible to improve the DR 'state of the art' with a manageable commitment of technical resources on both the utility and consumer side. Although numerous C & I DR applications of a DRAS infrastructure are still in either prototype or early production phases, these early attempts at automating DR have been notably successful for both utilities and C & I customers. Several factors have strongly contributed to this success and will be discussed below. These successes have motivated utilities and regulators to look closely at how DR programs can be expanded to encompass the remaining (roughly) half of the state's energy load - the light commercial and, in numerical terms, the more important residential customer market. This survey examines technical issues facing the implementation of automated DR in the residential environment. In particular, we will look at the potential role of home automation networks in implementing wide-scale DR systems that communicate directly to individual residences.

  12. 78 FR 6045 - Information Sharing Among Federal Home Loan Banks

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-29

    ...Section 1207 of the Housing and Economic Recovery Act of 2008 (HERA) amended the Federal Home Loan Bank Act (Bank Act) to require the Federal Housing Finance Agency (FHFA) to make available to each Federal Home Loan Bank (Bank) information relating to the financial condition of all other Banks. Section 1207 also requires FHFA to promulgate regulations to facilitate the sharing of such......

  13. Competition, information, and quality: Evidence from nursing homes.

    PubMed

    Zhao, Xin

    2016-09-01

    Economic theory suggests that competition and information can both be important for product quality, and yet evidence on how they may interact to affect quality is sparse. This paper estimates the impact of competition between nursing homes on their quality, and how this impact varies when consumers have better access to information. The effect of competition is identified using exogenous variation in the geographical proximity of nursing homes to their potential consumers. The change in information transparency is captured by the launch of the Five-Star Quality Rating System in 2009, which improved access to the quality information of nursing homes. We find that while the effect of competition on nursing home quality is generally rather limited, this effect becomes significantly stronger with increased information transparency. The results suggest that regulations on public quality reporting and on market structure are policy complements, and should be considered jointly to best improve quality.

  14. 78 FR 53013 - Agency Information Collection (Request for Nursing Home Information in Connection With Claim for...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-27

    ... AFFAIRS Agency Information Collection (Request for Nursing Home Information in Connection With Claim for... INFORMATION: Title: Request for Nursing Home Information in Connection with Claim for Aid and Attendance, VA... collection. Abstract: The data collected on VA Form 21-0779 is used to determine Veterans residing in...

  15. Nursing Home Care Quality: Insights from a Bayesian Network Approach

    ERIC Educational Resources Information Center

    Goodson, Justin; Jang, Wooseung; Rantz, Marilyn

    2008-01-01

    Purpose: The purpose of this research is twofold. The first purpose is to utilize a new methodology (Bayesian networks) for aggregating various quality indicators to measure the overall quality of care in nursing homes. The second is to provide new insight into the relationships that exist among various measures of quality and how such measures…

  16. Home-School Relationships: Networking in One District

    ERIC Educational Resources Information Center

    Wanat, Carolyn Louise

    2012-01-01

    This article describes parents' and educators' perceptions of home-school relationships that benefited children and their families in one school district. Family involvement literature and social network theory, especially Burt's (2001) structural holes, served as the theoretical framework. In semistructured interviews, 39 participants, including…

  17. Vocational Home Economics Instructional Materials Exchange Network Plan. Final Report.

    ERIC Educational Resources Information Center

    Texas Tech Univ., Lubbock. Home Economics Instructional Materials Center.

    A project was undertaken to establish plans for a network through which postsecondary vocational home economics institutions in Texas could exchange instructional materials. After reviewing current literature on the idea of an instructional materials exchange, project staff mailed letters to the Board of Education in each of the 50 states…

  18. Information thermodynamics on causal networks.

    PubMed

    Ito, Sosuke; Sagawa, Takahiro

    2013-11-01

    We study nonequilibrium thermodynamics of complex information flows induced by interactions between multiple fluctuating systems. Characterizing nonequilibrium dynamics by causal networks (i.e., Bayesian networks), we obtain novel generalizations of the second law of thermodynamics and the fluctuation theorem, which include an informational quantity characterized by the topology of the causal network. Our result implies that the entropy production in a single system in the presence of multiple other systems is bounded by the information flow between these systems. We demonstrate our general result by a simple model of biochemical adaptation.

  19. 78 FR 46421 - Proposed Information Collection (Per Diem for Nursing Home Care of Veterans in State Homes; Per...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-31

    ... AFFAIRS Proposed Information Collection (Per Diem for Nursing Home Care of Veterans in State Homes; Per Diem for Adult Day Care of Veterans in State Homes): Comment Request AGENCY: Veterans Health... day health care facilities are providing high quality services to Veterans in State homes....

  20. Sensor Network-Based and User-Friendly User Location Discovery for Future Smart Homes.

    PubMed

    Ahvar, Ehsan; Lee, Gyu Myoung; Han, Son N; Crespi, Noel; Khan, Imran

    2016-06-27

    User location is crucial context information for future smart homes where many location based services will be proposed. This location necessarily means that User Location Discovery (ULD) will play an important role in future smart homes. Concerns about privacy and the need to carry a mobile or a tag device within a smart home currently make conventional ULD systems uncomfortable for users. Future smart homes will need a ULD system to consider these challenges. This paper addresses the design of such a ULD system for context-aware services in future smart homes stressing the following challenges: (i) users' privacy; (ii) device-/tag-free; and (iii) fault tolerance and accuracy. On the other hand, emerging new technologies, such as the Internet of Things, embedded systems, intelligent devices and machine-to-machine communication, are penetrating into our daily life with more and more sensors available for use in our homes. Considering this opportunity, we propose a ULD system that is capitalizing on the prevalence of sensors for the home while satisfying the aforementioned challenges. The proposed sensor network-based and user-friendly ULD system relies on different types of inexpensive sensors, as well as a context broker with a fuzzy-based decision-maker. The context broker receives context information from different types of sensors and evaluates that data using the fuzzy set theory. We demonstrate the performance of the proposed system by illustrating a use case, utilizing both an analytical model and simulation.

  1. Sensor Network-Based and User-Friendly User Location Discovery for Future Smart Homes

    PubMed Central

    Ahvar, Ehsan; Lee, Gyu Myoung; Han, Son N.; Crespi, Noel; Khan, Imran

    2016-01-01

    User location is crucial context information for future smart homes where many location based services will be proposed. This location necessarily means that User Location Discovery (ULD) will play an important role in future smart homes. Concerns about privacy and the need to carry a mobile or a tag device within a smart home currently make conventional ULD systems uncomfortable for users. Future smart homes will need a ULD system to consider these challenges. This paper addresses the design of such a ULD system for context-aware services in future smart homes stressing the following challenges: (i) users’ privacy; (ii) device-/tag-free; and (iii) fault tolerance and accuracy. On the other hand, emerging new technologies, such as the Internet of Things, embedded systems, intelligent devices and machine-to-machine communication, are penetrating into our daily life with more and more sensors available for use in our homes. Considering this opportunity, we propose a ULD system that is capitalizing on the prevalence of sensors for the home while satisfying the aforementioned challenges. The proposed sensor network-based and user-friendly ULD system relies on different types of inexpensive sensors, as well as a context broker with a fuzzy-based decision-maker. The context broker receives context information from different types of sensors and evaluates that data using the fuzzy set theory. We demonstrate the performance of the proposed system by illustrating a use case, utilizing both an analytical model and simulation. PMID:27355951

  2. Building a Unified Information Network.

    ERIC Educational Resources Information Center

    Avram, Henriette D.

    1988-01-01

    Discusses cooperative efforts between research organizations and libraries to create a national information network. Topics discussed include the Linked System Project (LSP); technical processing versus reference and research functions; Open Systems Interconnection (OSI) Reference Model; the National Science Foundation Network (NSFNET); and…

  3. Home Page: The Mode of Transport through the Information Superhighway

    NASA Technical Reports Server (NTRS)

    Lujan, Michelle R.

    1995-01-01

    The purpose of the project with the Aeroacoustics Branch was to create and submit a home page for the internet about branch information. In order to do this, one must also become familiar with the way that the internet operates. Learning HyperText Markup Language (HTML), and the ability to create a document using this language was the final objective in order to place a home page on the internet (World Wide Web). A manual of instructions regarding maintenance of the home page, and how to keep it up to date was also necessary in order to provide branch members with the opportunity to make any pertinent changes.

  4. Network Information Management Subsystem

    NASA Technical Reports Server (NTRS)

    Chatburn, C. C.

    1985-01-01

    The Deep Space Network is implementing a distributed data base management system in which the data are shared among several applications and the host machines are not totally dedicated to a particular application. Since the data and resources are to be shared, the equipment must be operated carefully so that the resources are shared equitably. The current status of the project is discussed and policies, roles, and guidelines are recommended for the organizations involved in the project.

  5. Sensing Home: A Cost-Effective Design for Smart Home via Heterogeneous Wireless Networks.

    PubMed

    Fan, Xiaohu; Huang, Hao; Qi, Shipeng; Luo, Xincheng; Zeng, Jing; Xie, Qubo; Xie, Changsheng

    2015-12-03

    The aging population has inspired the marketing of advanced real time devices for home health care, more and more wearable devices and mobile applications, which have emerged in this field. However, to properly collect behavior information, accurately recognize human activities, and deploy the whole system in a real living environment is a challenging task. In this paper, we propose a feasible wireless-based solution to deploy a data collection scheme, activity recognition model, feedback control and mobile integration via heterogeneous networks. We compared and found a suitable algorithm that can be run on cost-efficient embedded devices. Specifically, we use the Super Set Transformation method to map the raw data into a sparse binary matrix. Furthermore, designed front-end devices of low power consumption gather the living data of the habitant via ZigBee to reduce the burden of wiring work. Finally, we evaluated our approach and show it can achieve a theoretical time-slice accuracy of 98%. The mapping solution we propose is compatible with more wearable devices and mobile apps.

  6. Sensing Home: A Cost-Effective Design for Smart Home via Heterogeneous Wireless Networks

    PubMed Central

    Fan, Xiaohu; Huang, Hao; Qi, Shipeng; Luo, Xincheng; Zeng, Jing; Xie, Qubo; Xie, Changsheng

    2015-01-01

    The aging population has inspired the marketing of advanced real time devices for home health care, more and more wearable devices and mobile applications, which have emerged in this field. However, to properly collect behavior information, accurately recognize human activities, and deploy the whole system in a real living environment is a challenging task. In this paper, we propose a feasible wireless-based solution to deploy a data collection scheme, activity recognition model, feedback control and mobile integration via heterogeneous networks. We compared and found a suitable algorithm that can be run on cost-efficient embedded devices. Specifically, we use the Super Set Transformation method to map the raw data into a sparse binary matrix. Furthermore, designed front-end devices of low power consumption gather the living data of the habitant via ZigBee to reduce the burden of wiring work. Finally, we evaluated our approach and show it can achieve a theoretical time-slice accuracy of 98%. The mapping solution we propose is compatible with more wearable devices and mobile apps. PMID:26633424

  7. Ranking Information in Networks

    NASA Astrophysics Data System (ADS)

    Eliassi-Rad, Tina; Henderson, Keith

    Given a network, we are interested in ranking sets of nodes that score highest on user-specified criteria. For instance in graphs from bibliographic data (e.g. PubMed), we would like to discover sets of authors with expertise in a wide range of disciplines. We present this ranking task as a Top-K problem; utilize fixed-memory heuristic search; and present performance of both the serial and distributed search algorithms on synthetic and real-world data sets.

  8. Use of Informal In-Home Care by Rural Elders.

    ERIC Educational Resources Information Center

    Newhouse, Janette K.; McAuley, William J.

    1987-01-01

    Examined use of in-home services by older rural people who received assistance exclusively from informal sources. Results suggest that informal caregiver is essential in community-based care for rural elderly. Having a car, distance to friend, economic resources, physical health, and performance in daily living activities related to use of more…

  9. 78 FR 73407 - Information Sharing Among Federal Home Loan Banks

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-06

    ... is contained in the weekly report on Bank liquidity prepared by DBR; (4) Information about each Bank... FHFA, indicating whether each Bank has timely filed with FHFA the quarterly liquidity certification... AGENCY 12 CFR Part 1260 RIN 2590-AA35 Information Sharing Among Federal Home Loan Banks AGENCY:...

  10. Information Persistence Services Designed to Support Home Care

    PubMed Central

    Queirós, Alexandra; Augusto, Filipe; Rodríguez, Yosvany Llerena; Cardoso, Carlos; Grade, José Miguel; Quintas, João

    2015-01-01

    Background Due to the challenges faced by health and social care systems, in particular those related to actual demographic trends, home care emerges as a potentially cost-effective solution to answer the needs of citizens, and to allow the reallocation of resources to alternatives to hospitalization or institutionalization. Objective Home care services require cooperation between different actors, including health and social caregivers, care receivers, and their informal caregivers (eg, relatives or friends), across time, space, and organizational boundaries. Therefore, it is foreseeable that eHealth services can contribute to their improvement. The aim of this study is to evaluate information persistence services based on the Reference Information Model (RIM) of the Health Level Seven (HL7) version 3 to support formal caregivers, both health and social care providers, and informal caregivers in the context of home care services. Methods A pilot study was set up involving two Portuguese institutions that provide home care services for the elderly. Defining of information requirements was performed according to a comprehensive process. This included a review of the literature, observations of work activities, interviews with caregivers, care receivers and their relatives, analysis of paper documentation related to care receivers’ histories, health conditions and care plans, and brainstorming groups involving specialized professionals. Following this, information objects were implemented and validated. Results The methodological approach, as well as the information persistence services, proved to be robust and adequate to specify, implement, and validate different types of information objects related to home care services for the elderly. This study also reinforces the application of the RIM of the HL7 version 3 beyond the strict scope of health care, allowing the persistence of not only health care information, but also information related to social assistance

  11. Using cable television networks for interactive home telemedicine services.

    PubMed

    Valero, M A; Arredondo, M T; del Nogal, F; Rodríguez, J M; Torres, D

    1999-01-01

    Most recent cable television network infrastructures can be used to deliver broadband interactive telemedicine services to the home. These facilities allow the provision of social and health services like medical televisiting for elderly, disabled and chronically ill patients; health tele-education; and teleconsultation on demand. Large numbers of patients could benefit from these services. There is also the increasing European tendency to offer customized home-care services. These applications are being developed and validated by a pilot project in Madrid as part of the ATTRACT project of the European Commission. The long-term aim is to develop broadband applications on a large scale to support low-cost interactive home telemedicine services for both patients and institutions.

  12. Information communication on complex networks

    NASA Astrophysics Data System (ADS)

    Igarashi, Akito; Kawamoto, Hiroki; Maruyama, Takahiro; Morioka, Atsushi; Naganuma, Yuki

    2013-02-01

    Since communication networks such as the Internet, which is regarded as a complex network, have recently become a huge scale and a lot of data pass through them, the improvement of packet routing strategies for transport is one of the most significant themes in the study of computer networks. It is especially important to find routing strategies which can bear as many traffic as possible without congestion in complex networks. First, using neural networks, we introduce a strategy for packet routing on complex networks, where path lengths and queue lengths in nodes are taken into account within a framework of statistical physics. Secondly, instead of using shortest paths, we propose efficient paths which avoid hubs, nodes with a great many degrees, on scale-free networks with a weight of each node. We improve the heuristic algorithm proposed by Danila et. al. which optimizes step by step routing properties on congestion by using the information of betweenness, the probability of paths passing through a node in all optimal paths which are defined according to a rule, and mitigates the congestion. We confirm the new heuristic algorithm which balances traffic on networks by achieving minimization of the maximum betweenness in much smaller number of iteration steps. Finally, We model virus spreading and data transfer on peer-to-peer (P2P) networks. Using mean-field approximation, we obtain an analytical formulation and emulate virus spreading on the network and compare the results with those of simulation. Moreover, we investigate the mitigation of information traffic congestion in the P2P networks.

  13. [Palliative care at home, transferring information to emergency medical teams].

    PubMed

    Ribeaucoup, Luc; Roche, Blandine

    2015-11-01

    Many people wish to die at home. However, the end-of-life period can be marked by the occurrence of numerous symptoms causing situations of crisis. Emergency medical teams are therefore frequently called upon. In order to be able to make the right decisions in a short space of time, they must have quick access to all the relevant information.

  14. Whether information network supplements friendship network

    NASA Astrophysics Data System (ADS)

    Miao, Lili; Zhang, Qian-Ming; Nie, Da-Cheng; Cai, Shi-Min

    2015-02-01

    Homophily is a significant mechanism for link prediction in complex network, of which principle describes that people with similar profiles or experiences tend to tie with each other. In a multi-relationship network, friendship among people has been utilized to reinforce similarity of taste for recommendation system whose basic idea is similar to homophily, yet how the taste inversely affects friendship prediction is little discussed. This paper contributes to address the issue by analyzing two benchmark data sets both including user's behavioral information of taste and friendship based on the principle of homophily. It can be found that the creation of friendship tightly associates with personal taste. Especially, the behavioral information of taste involving with popular objects is much more effective to improve the performance of friendship prediction. However, this result seems to be contradictory to the finding in Zhang et al. (2013) that the behavior information of taste involving with popular objects is redundant in recommendation system. We thus discuss this inconformity to comprehensively understand the correlation between them.

  15. 78 FR 53506 - Proposed Information Collection (Care Coordination Home Telehealth (CCHT) Patient Satisfaction...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-29

    ... AFFAIRS Proposed Information Collection (Care Coordination Home Telehealth (CCHT) Patient Satisfaction... comments on the information collection required to obtain patient perspective on satisfaction with the CCHT... forms of information technology. Titles: Care Coordination Home Telehealth (CCHT) Patient...

  16. Process mapping as a tool for home health network analysis.

    PubMed

    Pluto, Delores M; Hirshorn, Barbara A

    2003-01-01

    Process mapping is a qualitative tool that allows service providers, policy makers, researchers, and other concerned stakeholders to get a "bird's eye view" of a home health care organizational network or a very focused, in-depth view of a component of such a network. It can be used to share knowledge about community resources directed at the older population, identify gaps in resource availability and access, and promote on-going collaborative interactions that encourage systemic policy reassessment and programmatic refinement. This article is a methodological description of process mapping, which explores its utility as a practice and research tool, illustrates its use in describing service-providing networks, and discusses some of the issues that are key to successfully using this methodology.

  17. Integrated services to the home and small business over a service-independent HFC network

    NASA Astrophysics Data System (ADS)

    Counterman, Raymond

    1995-11-01

    This paper proposes three different approaches to providing integrated digital services to small businesses and residential customers over modern hybrid fiber and coaxial (HFC) access networks. The target delivery system is one that is flexible and forms a multiservice, service- independent platform capable of providing a wide range of services (voice, video, data, and multimedia). The merits and limitations of the three approaches are explored. In the first approach, the common facilities of an HFC access network may be shared by the frequency partitioning of the coaxial plant's radio frequency spectrum. video, data, and telephony services each use different portions of this spectrum -- a service-dependent network. In the second approach, asynchronous transfer mode (ATM) transmission is used as the information delivery vehicle all the way to the home or small business, creating a more flexible delivery system. The ATM-based architecture is expected to support any service or service mix -- a service-independent network. In the third approach, a common transport protocol composed of both asynchronous and synchronous transfer modes (ATM/STM) is used. Such an approach could (1) provide a common interface between home/small business premises equipment and both the circuit and ATM switching networks; (2) meet a wide range of delay and throughput requirements; and (3) allow for many network migration scenarios.

  18. Multimedia and multiservice systems for home, office, and industrial networks

    NASA Astrophysics Data System (ADS)

    Junger, Stephan; Tschekalinskij, Wladimir; Weber, Norbert

    2004-04-01

    The optical transmission of signals has several significant advantages like high transmission capacity, immunity from electromagnetic interference, and thin and low weight cables. Optical networks have a high potential for applications in buildings, but they will be widely used only if component and installation costs are reduced. One promising candidate especially for home networks is polymer optical fiber (POF) due to the low cost of the fiber and its installation, as well as significantly lower costs of all active and passive components compared to networks based on silica fibers. The present paper describes the properties of polymer optical fibers (POF), active and passive components developed in our institute for networks based on POF as well as different transmission experiments. The applications of these transmission systems for multimedia and multiservice networks are the distribution of video signals, the transmission of TV signals with carrier frequencies beyond the 3-dB bandwidth of POF, and a multimedia system for the transmission of video, audio, and data signals using wavelength division multiplexing (WDM).

  19. Information Recovery in Behavioral Networks

    PubMed Central

    Squartini, Tiziano; Ser-Giacomi, Enrico; Garlaschelli, Diego; Judge, George

    2015-01-01

    In the context of agent based modeling and network theory, we focus on the problem of recovering behavior-related choice information from origin-destination type data, a topic also known under the name of network tomography. As a basis for predicting agents' choices we emphasize the connection between adaptive intelligent behavior, causal entropy maximization, and self-organized behavior in an open dynamic system. We cast this problem in the form of binary and weighted networks and suggest information theoretic entropy-driven methods to recover estimates of the unknown behavioral flow parameters. Our objective is to recover the unknown behavioral values across the ensemble analytically, without explicitly sampling the configuration space. In order to do so, we consider the Cressie-Read family of entropic functionals, enlarging the set of estimators commonly employed to make optimal use of the available information. More specifically, we explicitly work out two cases of particular interest: Shannon functional and the likelihood functional. We then employ them for the analysis of both univariate and bivariate data sets, comparing their accuracy in reproducing the observed trends. PMID:25946169

  20. Sensor network infrastructure for a home care monitoring system.

    PubMed

    Palumbo, Filippo; Ullberg, Jonas; Stimec, Ales; Furfari, Francesco; Karlsson, Lars; Coradeschi, Silvia

    2014-02-25

    This paper presents the sensor network infrastructure for a home care system that allows long-term monitoring of physiological data and everyday activities. The aim of the proposed system is to allow the elderly to live longer in their home without compromising safety and ensuring the detection of health problems. The system offers the possibility of a virtual visit via a teleoperated robot. During the visit, physiological data and activities occurring during a period of time can be discussed. These data are collected from physiological sensors (e.g., temperature, blood pressure, glucose) and environmental sensors (e.g., motion, bed/chair occupancy, electrical usage). The system can also give alarms if sudden problems occur, like a fall, and warnings based on more long-term trends, such as the deterioration of health being detected. It has been implemented and tested in a test environment and has been deployed in six real homes for a year-long evaluation. The key contribution of the paper is the presentation of an implemented system for ambient assisted living (AAL) tested in a real environment, combining the acquisition of sensor data, a flexible and adaptable middleware compliant with the OSGistandard and a context recognition application. The system has been developed in a European project called GiraffPlus.

  1. Sensor Network Infrastructure for a Home Care Monitoring System

    PubMed Central

    Palumbo, Filippo; Ullberg, Jonas; Štimec, Ales; Furfari, Francesco; Karlsson, Lars; Coradeschi, Silvia

    2014-01-01

    This paper presents the sensor network infrastructure for a home care system that allows long-term monitoring of physiological data and everyday activities. The aim of the proposed system is to allow the elderly to live longer in their home without compromising safety and ensuring the detection of health problems. The system offers the possibility of a virtual visit via a teleoperated robot. During the visit, physiological data and activities occurring during a period of time can be discussed. These data are collected from physiological sensors (e.g., temperature, blood pressure, glucose) and environmental sensors (e.g., motion, bed/chair occupancy, electrical usage). The system can also give alarms if sudden problems occur, like a fall, and warnings based on more long-term trends, such as the deterioration of health being detected. It has been implemented and tested in a test environment and has been deployed in six real homes for a year-long evaluation. The key contribution of the paper is the presentation of an implemented system for ambient assisted living (AAL) tested in a real environment, combining the acquisition of sensor data, a flexible and adaptable middleware compliant with the OSGistandard and a context recognition application. The system has been developed in a European project called GiraffPlus. PMID:24573309

  2. Supporting the information domains of fall-risk management in home care via health information technology.

    PubMed

    Alhuwail, Dari; Koru, Güneş; Mills, Mary Etta

    2016-01-01

    In the United States, home care clinicians often start the episode of care devoid of relevant fall-risk information. By collecting and analyzing qualitative data from 30 clinicians in one home health agency, this case study aimed to understand how the currently adopted information technology solutions supported the clinicians' fall-risk management (FRM) information domains, and explored opportunities to adopt other solutions to better support FRM. The currently adopted electronic health record system and fall-reporting application served only some information domains with a limited capacity. Substantial improvement in addressing the FRM information domains is possible by effectively modifying the existing solutions and purposefully adopting new solutions.

  3. How to calculate financial information for home energy raters, lenders and savvy home buyers

    SciTech Connect

    Vieira, R.K.; Cummings, J.E.; Fairey, P.W.; Hannani, K.

    1998-07-01

    Home ratings and energy-efficient mortgages are becoming the key vehicles in the process of moving more buyers and builders to energy efficiency that exceed minimum code limits. The energy-efficient mortgages industry requires both the projected savings of energy-conservation measures and other key financial information for builders, realtors, buyers and lenders. This paper presents the methodology used by the one state's home rating software for calculating and reporting key financial information and for selecting the most cost-effective upgrades automatically through an optimization process. Historically, many statistics have been calculated based on two pieces of information--the cost of the energy conservation measures and the projected savings from the measures. Unfortunately, when attempting to upgrade an existing or code-minimum new home up to more efficient level, such as EPA's Energy Star Home program level, a number of measures interact. The savings of a package of upgrades can be determined, but a methodology was required for attributing the savings due to each measure as required for certain national mortgage products. When examining the cash flow of measures there are a host of other factors - the amount of the upgrade that will be borrowed, the income tax rate used for deducting interest, any increase to the property that will result in higher property tax and insurance rates and the maintenance on the upgrade. The reporting of the financial analysis is of significant importance to the lending industry. This paper presents many report options contained in the Florida software, Energy Gauge, and its ability to meet the requirements of HUD, Fannie Mae, and the national HERS guidelines.

  4. Information transport in multiplex networks

    NASA Astrophysics Data System (ADS)

    Pu, Cunlai; Li, Siyuan; Yang, Xianxia; Yang, Jian; Wang, Kai

    2016-04-01

    In this paper, we study information transport in multiplex networks comprised of two coupled subnetworks. The upper subnetwork, called the logical layer, employs the shortest paths protocol to determine the logical paths for packets transmission, while the lower subnetwork acts as the physical layer, in which packets are delivered by the biased random walk mechanism characterized with a parameter α. Through simulation, we obtain the optimal α corresponding to the maximum network lifetime and the maximum number of the arrival packets. Assortative coupling is better than random coupling and disassortative coupling, since it achieves better transmission performance. Generally, the more homogeneous the lower subnetwork is, the better the transmission performance, which is the opposite for the upper subnetwork. Finally, we propose an attack centrality for nodes based on the topological information of both subnetworks, and investigate the transmission performance under targeted attacks. Our work aids in understanding the spread and robustness issues of multiplex networks and provides some clues about the design of more efficient and robust routing architectures in communication systems.

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

    NASA Astrophysics Data System (ADS)

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

    2016-12-01

    Using network-based information to facilitate information spreading is an essential task for spreading dynamics in complex networks. 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 a moderate correlation coefficient results in the most efficient information spreading. Incorporating the local informed density information into contact strategy, the convergence time of information spreading can be further reduced, and be minimized by an moderately preferential selection.

  6. Design on intelligent gateway technique in home network

    NASA Astrophysics Data System (ADS)

    Hu, Zhonggong; Feng, Xiancheng

    2008-12-01

    Based on digitization, multimedia, mobility, wide band, real-time interaction and so on,family networks, because can provide diverse and personalized synthesis service in information, correspondence work, entertainment, education and health care and so on, are more and more paid attention by the market. The family network product development has become the focus of the related industry. In this paper,the concept of the family network and the overall reference model of the family network are introduced firstly.Then the core techniques and the correspondence standard related with the family network are proposed.The key analysis is made for the function of family gateway, the function module of the software,the key technologies to client side software architecture and the trend of development of the family network entertainment seeing and hearing service and so on. Product present situation of the family gateway and the future trend of development, application solution of the digital family service are introduced. The development of the family network product bringing about the digital family network industry is introduced finally.It causes the development of software industries,such as communication industry,electrical appliances industry, computer and game and so on.It also causes the development of estate industry.

  7. Care Networking: A Study of Technical Mediations in a Home Telecare Service

    PubMed Central

    Correa, Gonzalo; Domènech, Miquel

    2013-01-01

    This article examines the processes of technical mediation within familial care networks based on a study of home telecare targeted at older people. Supported by contributions from the actor—network theory as part of the social psychology of science and technology, these processes of technical mediation are analyzed using a qualitative approach. The data were gathered through six focus groups and four in-depth interviews; the participants in the study included users, relatives and formal carers. Thematic analysis techniques encompassing the information were used, revealing the effects on the patterns of caring relationships. The results show the interplay between presence-absence made possible by the devices; the two-way direction of care between the older people and the artifacts; and the process of sustaining care using the technology. We conclude that care should be seen as a socio-technical network where technology plays an active role in sustaining family relationships. PMID:23880730

  8. Securing Information with Complex Optical Encryption Networks

    DTIC Science & Technology

    2015-08-11

    encryption networks, and to provide effective and reliable solutions for information security. 15. SUBJECT TERMS Optical Encryption...popularization of networking and internet , much research effort is made in the field of information security. Military communication system makes an...objective is to propose the architectures for a number of complex optical encryption networks so as to provide effective and reliable solutions for

  9. Computer-Based Information Networks: Selected Examples.

    ERIC Educational Resources Information Center

    Hardesty, Larry

    The history, purpose, and operation of six computer-based information networks are described in general and nontechnical terms. In the introduction the many definitions of an information network are explored. Ohio College Library Center's network (OCLC) is the first example. OCLC began in 1963, and since early 1973 has been extending its services…

  10. Local Area Networks for Information Retrieval.

    ERIC Educational Resources Information Center

    Kibirige, Harry M.

    This examination of the use of local area networks (LANs) by libraries summarizes the findings of a nationwide survey of 600 libraries and information centers and 200 microcomputer networking system manufacturers and vendors, which was conducted to determine the relevance of currently available networking systems for library and information center…

  11. U.S. Department of Energy Information: Home Energy Audits.

    ERIC Educational Resources Information Center

    Conservation and Renewable Energy Inquiry and Referral Service (DOE), Silver Spring, MD.

    An energy audit is an effective method to determine how much energy a home uses each year, whether the energy is being used efficiently, and where a home wastes energy. This fact sheet describes tools and techniques used for home energy audits, as well as how to perform a do-it-yourself audit. It discusses professionals who conduct home energy…

  12. Medicines in My Home: Information for Adults on Using Over-the-Counter Medicines Safely

    MedlinePlus

    Medicines In My Home More about using medicines safely Medicines in My Home: www.fda.gov/medsinmyhome FDA Consumer Medicine Education: www.fda.gov/usemedicinesafely National Council on Patient Information and ...

  13. Residents' Positive and Negative Relationship Networks in a Nursing Home.

    PubMed

    Casey, Anne-Nicole S; Low, Lee-Fay; Jeon, Yun-Hee; Brodaty, Henry

    2016-11-01

    Person-centered care involves consideration of long-term care residents' lived experience, including social relationships. The current cross-sectional study investigated co-resident social networks in three units of a 94-bed Australian nursing home, including an 18-bed dementia-specific unit (DSU). Six care staff were interviewed. Chart, self-reported social isolation, and staff-reported social engagement data were collected for 36 residents ages 63 to 94 who consented to full participation. Fifty-five additional residents were included in observations. Median positive-to-negative network size ratios within units were 1.5:1 (Unit 1), 0.7:1 (Unit 3), and 0:1 (DSU). Moderate positive correlations existed between: perceived social support and total positive relationships [ρ(25) = 0.44, p = 0.03]; social withdrawal and total negative relationships [ρ(36) = 0.51, p = 0.002]; and objective social isolation and total negative relationships [ρ(22) = -0.44, p = 0.042]. Number and quality of relationships were associated with resident social withdrawal, perceived support, and isolation. High prevalence of isolation and negative relationships demonstrate the need for interventions. [Journal of Gerontological Nursing, 42(11), 9-13.].

  14. Dynamic information routing in complex networks

    PubMed Central

    Kirst, Christoph; Timme, Marc; Battaglia, Demian

    2016-01-01

    Flexible information routing fundamentally underlies the function of many biological and artificial networks. Yet, how such systems may specifically communicate and dynamically route information is not well understood. Here we identify a generic mechanism to route information on top of collective dynamical reference states in complex networks. Switching between collective dynamics induces flexible reorganization of information sharing and routing patterns, as quantified by delayed mutual information and transfer entropy measures between activities of a network's units. We demonstrate the power of this mechanism specifically for oscillatory dynamics and analyse how individual unit properties, the network topology and external inputs co-act to systematically organize information routing. For multi-scale, modular architectures, we resolve routing patterns at all levels. Interestingly, local interventions within one sub-network may remotely determine nonlocal network-wide communication. These results help understanding and designing information routing patterns across systems where collective dynamics co-occurs with a communication function. PMID:27067257

  15. Dynamic information routing in complex networks

    NASA Astrophysics Data System (ADS)

    Kirst, Christoph; Timme, Marc; Battaglia, Demian

    2016-04-01

    Flexible information routing fundamentally underlies the function of many biological and artificial networks. Yet, how such systems may specifically communicate and dynamically route information is not well understood. Here we identify a generic mechanism to route information on top of collective dynamical reference states in complex networks. Switching between collective dynamics induces flexible reorganization of information sharing and routing patterns, as quantified by delayed mutual information and transfer entropy measures between activities of a network's units. We demonstrate the power of this mechanism specifically for oscillatory dynamics and analyse how individual unit properties, the network topology and external inputs co-act to systematically organize information routing. For multi-scale, modular architectures, we resolve routing patterns at all levels. Interestingly, local interventions within one sub-network may remotely determine nonlocal network-wide communication. These results help understanding and designing information routing patterns across systems where collective dynamics co-occurs with a communication function.

  16. Dynamic information routing in complex networks

    NASA Astrophysics Data System (ADS)

    Kirst, Christoph; Timme, Marc; Battaglia, Demian

    2015-03-01

    Flexible information routing fundamentally underlies the function of many biological and artificial networks. Yet, how information may be specifically communicated and dynamically routed in these systems is not well understood. Here we demonstrate that collective dynamical states systematically control patterns of information sharing and transfer in networks, as measured by delayed mutual information and transfer entropies between activities of a network's units. For oscillatory networks we analyze how individual unit properties, the connectivity structure and external inputs all provide means to flexibly control information routing. For multi-scale, modular architectures, we resolve communication patterns at all levels and show how local interventions within one sub-network may remotely control the non-local network-wide routing of information. This theory helps understanding information routing patterns across systems where collective dynamics co-occurs with a communication function.

  17. Multimedia Information Networks in Social Media

    NASA Astrophysics Data System (ADS)

    Cao, Liangliang; Qi, Guojun; Tsai, Shen-Fu; Tsai, Min-Hsuan; Pozo, Andrey Del; Huang, Thomas S.; Zhang, Xuemei; Lim, Suk Hwan

    The popularity of personal digital cameras and online photo/video sharing community has lead to an explosion of multimedia information. Unlike traditional multimedia data, many new multimedia datasets are organized in a structural way, incorporating rich information such as semantic ontology, social interaction, community media, geographical maps, in addition to the multimedia contents by themselves. Studies of such structured multimedia data have resulted in a new research area, which is referred to as Multimedia Information Networks. Multimedia information networks are closely related to social networks, but especially focus on understanding the topics and semantics of the multimedia files in the context of network structure. This chapter reviews different categories of recent systems related to multimedia information networks, summarizes the popular inference methods used in recent works, and discusses the applications related to multimedia information networks. We also discuss a wide range of topics including public datasets, related industrial systems, and potential future research directions in this field.

  18. A security architecture for health information networks.

    PubMed

    Kailar, Rajashekar; Muralidhar, Vinod

    2007-10-11

    Health information network security needs to balance exacting security controls with practicality, and ease of implementation in today's healthcare enterprise. Recent work on 'nationwide health information network' architectures has sought to share highly confidential data over insecure networks such as the Internet. Using basic patterns of health network data flow and trust models to support secure communication between network nodes, we abstract network security requirements to a core set to enable secure inter-network data sharing. We propose a minimum set of security controls that can be implemented without needing major new technologies, but yet realize network security and privacy goals of confidentiality, integrity and availability. This framework combines a set of technology mechanisms with environmental controls, and is shown to be sufficient to counter commonly encountered network security threats adequately.

  19. eFurniture for home-based frailty detection using artificial neural networks and wireless sensors.

    PubMed

    Chang, Yu-Chuan; Lin, Chung-Chih; Lin, Pei-Hsin; Chen, Chun-Chang; Lee, Ren-Guey; Huang, Jing-Siang; Tsai, Tsai-Hsuan

    2013-02-01

    The purpose of this study is to integrate wireless sensor technologies and artificial neural networks to develop a system to manage personal frailty information automatically. The system consists of five parts: (1) an eScale to measure the subject's reaction time; (2) an eChair to detect slowness in movement, weakness and weight loss; (3) an ePad to measure the subject's balancing ability; (4) an eReach to measure body extension; and (5) a Home-based Information Gateway, which collects all the data and predicts the subject's frailty. Using a furniture-based measuring device to provide home-based measurement means that health checks are not confined to health institutions. We designed two experiments to obtain optimum frailty prediction model and test overall system performance: (1) We developed a three-step process to adjust different parameters to obtain an optimized neural identification network whose parameters include initialization, L.R. dec and L.R. inc. The post-process identification rate increased from 77.85% to 83.22%. (2) We used 149 cases to evaluate the sensitivity and specificity of our frailty prediction algorithm. The sensitivity and specificity of this system are 79.71% and 86.25% respectively. These results show that our system is a high specificity prediction tool that can be used to assess frailty.

  20. Modeling information flow in biological networks.

    PubMed

    Kim, Yoo-Ah; Przytycki, Jozef H; Wuchty, Stefan; Przytycka, Teresa M

    2011-06-01

    Large-scale molecular interaction networks are being increasingly used to provide a system level view of cellular processes. Modeling communications between nodes in such huge networks as information flows is useful for dissecting dynamical dependences between individual network components. In the information flow model, individual nodes are assumed to communicate with each other by propagating the signals through intermediate nodes in the network. In this paper, we first provide an overview of the state of the art of research in the network analysis based on information flow models. In the second part, we describe our computational method underlying our recent work on discovering dysregulated pathways in glioma. Motivated by applications to inferring information flow from genotype to phenotype in a very large human interaction network, we generalized previous approaches to compute information flows for a large number of instances and also provided a formal proof for the method.

  1. Protecting core networks with dual-homing: A study on enhanced network availability, resource efficiency, and energy-savings

    NASA Astrophysics Data System (ADS)

    Abeywickrama, Sandu; Furdek, Marija; Monti, Paolo; Wosinska, Lena; Wong, Elaine

    2016-12-01

    Core network survivability affects the reliability performance of telecommunication networks and remains one of the most important network design considerations. This paper critically examines the benefits arising from utilizing dual-homing in the optical access networks to provide resource-efficient protection against link and node failures in the optical core segment. Four novel, heuristic-based RWA algorithms that provide dedicated path protection in networks with dual-homing are proposed and studied. These algorithms protect against different failure scenarios (i.e. single link or node failures) and are implemented with different optimization objectives (i.e., minimization of wavelength usage and path length). Results obtained through simulations and comparison with baseline architectures indicate that exploiting dual-homed architecture in the access segment can bring significant improvements in terms of core network resource usage, connection availability, and power consumption.

  2. 77 FR 65574 - Notice of Proposed Information Collection: Healthy Homes and Lead Hazard Control Programs Data...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-29

    ... URBAN DEVELOPMENT Notice of Proposed Information Collection: Healthy Homes and Lead Hazard Control Programs Data Collection--Progress Reporting AGENCY: Office of Healthy Homes and Lead Hazard Control, HUD... Miller, Reports Liaison Officer, Office of Healthy Homes and Lead Hazard Control, Department of...

  3. Predicting Information Flows in Network Traffic.

    ERIC Educational Resources Information Center

    Hinich, Melvin J.; Molyneux, Robert E.

    2003-01-01

    Discusses information flow in networks and predicting network traffic and describes a study that uses time series analysis on a day's worth of Internet log data. Examines nonlinearity and traffic invariants, and suggests that prediction of network traffic may not be possible with current techniques. (Author/LRW)

  4. Exploring network operations for data and information networks

    NASA Astrophysics Data System (ADS)

    Yao, Bing; Su, Jing; Ma, Fei; Wang, Xiaomin; Zhao, Xiyang; Yao, Ming

    2017-01-01

    Barabási and Albert, in 1999, formulated scale-free models based on some real networks: World-Wide Web, Internet, metabolic and protein networks, language or sexual networks. Scale-free networks not only appear around us, but also have high qualities in the world. As known, high quality information networks can transfer feasibly and efficiently data, clearly, their topological structures are very important for data safety. We build up network operations for constructing large scale of dynamic networks from smaller scale of network models having good property and high quality. We focus on the simplest operators to formulate complex operations, and are interesting on the closeness of operations to desired network properties.

  5. A Security Architecture for Health Information Networks

    PubMed Central

    Kailar, Rajashekar

    2007-01-01

    Health information network security needs to balance exacting security controls with practicality, and ease of implementation in today’s healthcare enterprise. Recent work on ‘nationwide health information network’ architectures has sought to share highly confidential data over insecure networks such as the Internet. Using basic patterns of health network data flow and trust models to support secure communication between network nodes, we abstract network security requirements to a core set to enable secure inter-network data sharing. We propose a minimum set of security controls that can be implemented without needing major new technologies, but yet realize network security and privacy goals of confidentiality, integrity and availability. This framework combines a set of technology mechanisms with environmental controls, and is shown to be sufficient to counter commonly encountered network security threats adequately. PMID:18693862

  6. Development of a platform to combine sensor networks and home robots to improve fall detection in the home environment.

    PubMed

    Della Toffola, Luca; Patel, Shyamal; Chen, Bor-rong; Ozsecen, Yalgin M; Puiatti, Alessandro; Bonato, Paolo

    2011-01-01

    Over the last decade, significant progress has been made in the development of wearable sensor systems for continuous health monitoring in the home and community settings. One of the main areas of application for these wearable sensor systems is in detecting emergency events such as falls. Wearable sensors like accelerometers are increasingly being used to monitor daily activities of individuals at a risk of falls, detect emergency events and send alerts to caregivers. However, such systems tend to have a high rate of false alarms, which leads to low compliance levels. Home robots can enable caregivers with the ability to quickly make an assessment and intervene if an emergency event is detected. This can provide an additional layer for detecting false positives, which can lead to improve compliance. In this paper, we present preliminary work on the development of a fall detection system based on a combination sensor networks and home robots. The sensor network architecture comprises of body worn sensors and ambient sensors distributed in the environment. We present the software architecture and conceptual design home robotic platform. We also perform preliminary characterization of the sensor network in terms of latencies and battery lifetime.

  7. 76 FR 22117 - Notice of Submission of Proposed Information Collection to OMB Manufactured Home Construction and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-04-20

    ... Construction and Safety Standards Act Reporting Requirements AGENCY: Office of the Chief Information Officer, HUD. ACTION: Notice. SUMMARY: The proposed information collection requirement described below has been... following information: Title of Proposal: Manufactured Home Construction and Safety Standards Act...

  8. Scientific Information Networks: A Case Study.

    ERIC Educational Resources Information Center

    Vallee, Jacques

    The technical feasibility of a continental information network for astronomy has been demonstrated in the course of a two-month experiment conducted jointly by Dearborn Observatory of Northwestern University and the Stanford University Computation Center. The experiment simulated a scientific information network based on a high-level retrieval…

  9. Federal Information in the Networked Environment: A Perspective from the Coalition for Networked Information.

    ERIC Educational Resources Information Center

    Cheverie, Joan F.

    1999-01-01

    Discusses the development of strategies for providing access to and services for U.S. federal government information in higher education using the global information infrastructure, from the perspective of the Coalition for Networked Information (CNI). Discusses the preservation of electronic information and networked information discovery and…

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

    PubMed Central

    Gao, Lei; Wang, Wei; 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. 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 a moderate correlation coefficient results in the most efficient information spreading. Incorporating the local informed density information into contact strategy, the convergence time of information spreading can be further reduced, and be minimized by an moderately preferential selection. PMID:27910882

  11. Noise enhances information transfer in hierarchical networks.

    PubMed

    Czaplicka, Agnieszka; Holyst, Janusz A; Sloot, Peter M A

    2013-01-01

    We study the influence of noise on information transmission in the form of packages shipped between nodes of hierarchical networks. Numerical simulations are performed for artificial tree networks, scale-free Ravasz-Barabási networks as well for a real network formed by email addresses of former Enron employees. Two types of noise are considered. One is related to packet dynamics and is responsible for a random part of packets paths. The second one originates from random changes in initial network topology. We find that the information transfer can be enhanced by the noise. The system possesses optimal performance when both kinds of noise are tuned to specific values, this corresponds to the Stochastic Resonance phenomenon. There is a non-trivial synergy present for both noisy components. We found also that hierarchical networks built of nodes of various degrees are more efficient in information transfer than trees with a fixed branching factor.

  12. Noise enhances information transfer in hierarchical networks

    PubMed Central

    Czaplicka, Agnieszka; Holyst, Janusz A.; Sloot, Peter M. A.

    2013-01-01

    We study the influence of noise on information transmission in the form of packages shipped between nodes of hierarchical networks. Numerical simulations are performed for artificial tree networks, scale-free Ravasz-Barabási networks as well for a real network formed by email addresses of former Enron employees. Two types of noise are considered. One is related to packet dynamics and is responsible for a random part of packets paths. The second one originates from random changes in initial network topology. We find that the information transfer can be enhanced by the noise. The system possesses optimal performance when both kinds of noise are tuned to specific values, this corresponds to the Stochastic Resonance phenomenon. There is a non-trivial synergy present for both noisy components. We found also that hierarchical networks built of nodes of various degrees are more efficient in information transfer than trees with a fixed branching factor. PMID:23390574

  13. Home health visits using a cable television network: user satisfaction.

    PubMed

    Allen, A; Roman, L; Cox, R; Cardwell, B

    1996-01-01

    There are about 1.5 million home patients who receive home health care (nurses visiting patients in their homes) in the US each year. In a significant proportion of these visits, hands-on care is not needed. Rather, the nurse needs to verify compliance with medication regimes, assess mental or emotional status, or check blood sugar levels, blood pressure and the like. Many of these activities might be handled by a nursing visit using interactive video to the patient's home, saving the nurse's time wasted in driving, finding parking, etc. A system for delivering home health care using interactive video has been piloted in the state of Kansas. Using the local cable television infrastructure for audio and video transmission, this system permits a nurse to see patients in their homes for a fraction of the cost of an on-site visit. This new method of delivering home health care is being evaluated with an ongoing study of utilization and user satisfaction. We conducted a prospective survey administered to home health nurses (n = 2) and homebound patients (n = 3) using a cable TV-mediated interactive video system, to assess utilization and user satisfaction with televideo-mediated home health care visits. One hundred and eighty-one patient questionnaires and 193 nurses questionnaires were completed. The average length of a visit was 15 minutes (range 1-91). All mean scores tabulated for the questions indicated strong nurse and patient satisfaction with the system. Participating nurses and clients were satisfied with the televideo encounters. The mean score for all questions was better than neutral. Recognizing that this was a pilot study, hampered by small numbers and subject to the inherent biases of a single institution study, the results support further investigation and implementation of this modality for home health care.

  14. Information flow analysis of interactome networks.

    PubMed

    Missiuro, Patrycja Vasilyev; Liu, Kesheng; Zou, Lihua; Ross, Brian C; Zhao, Guoyan; Liu, Jun S; Ge, Hui

    2009-04-01

    Recent studies of cellular networks have revealed modular organizations of genes and proteins. For example, in interactome networks, a module refers to a group of interacting proteins that form molecular complexes and/or biochemical pathways and together mediate a biological process. However, it is still poorly understood how biological information is transmitted between different modules. We have developed information flow analysis, a new computational approach that identifies proteins central to the transmission of biological information throughout the network. In the information flow analysis, we represent an interactome network as an electrical circuit, where interactions are modeled as resistors and proteins as interconnecting junctions. Construing the propagation of biological signals as flow of electrical current, our method calculates an information flow score for every protein. Unlike previous metrics of network centrality such as degree or betweenness that only consider topological features, our approach incorporates confidence scores of protein-protein interactions and automatically considers all possible paths in a network when evaluating the importance of each protein. We apply our method to the interactome networks of Saccharomyces cerevisiae and Caenorhabditis elegans. We find that the likelihood of observing lethality and pleiotropy when a protein is eliminated is positively correlated with the protein's information flow score. Even among proteins of low degree or low betweenness, high information scores serve as a strong predictor of loss-of-function lethality or pleiotropy. The correlation between information flow scores and phenotypes supports our hypothesis that the proteins of high information flow reside in central positions in interactome networks. We also show that the ranks of information flow scores are more consistent than that of betweenness when a large amount of noisy data is added to an interactome. Finally, we combine gene expression

  15. Hierarchical social networks and information flow

    NASA Astrophysics Data System (ADS)

    López, Luis; F. F. Mendes, Jose; Sanjuán, Miguel A. F.

    2002-12-01

    Using a simple model for the information flow on social networks, we show that the traditional hierarchical topologies frequently used by companies and organizations, are poorly designed in terms of efficiency. Moreover, we prove that this type of structures are the result of the individual aim of monopolizing as much information as possible within the network. As the information is an appropriate measurement of centrality, we conclude that this kind of topology is so attractive for leaders, because the global influence each actor has within the network is completely determined by the hierarchical level occupied.

  16. 77 FR 56671 - Notice of Proposed Information Collection: Comment Request Manufactured Home Construction and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-09-13

    ... Proposed Information Collection: Comment Request Manufactured Home Construction and Safety Standards... 1, 2012, at 77 FR 45648, HUD published Manufactured Home Construction and Safety Standards Program... quality, utility, and clarity of the information to be collected; and, (4) Minimize the burden of...

  17. The Teen Health Information Network (THINK).

    ERIC Educational Resources Information Center

    Kuzel, Judith; Erickson, Su

    1995-01-01

    Discusses the Teen Health Information Network (THINK), a grant-funded partnership of Aurora, Illinois, public libraries, schools, and community agencies to provide materials, information, and programming on issues related to teen health. Seven appendixes provide detailed information on survey results, collection evaluation and development,…

  18. Home in the heat: dramatic seasonal variation in home range of desert golden eagles informs management for renewable energy development

    USGS Publications Warehouse

    Braham, Melissa; Miller, Tricia A.; Duerr, Adam E.; Lanzone, Michael; Fesnock, Amy; LaPre, Larry; Driscoll, Daniel; Katzner, Todd E.

    2015-01-01

    Renewable energy is expanding quickly with sometimes dramatic impacts to species and ecosystems. To understand the degree to which sensitive species may be impacted by renewable energy projects, it is informative to know how much space individuals use and how that space may overlap with planned development. We used global positioning system–global system for mobile communications (GPS-GSM) telemetry to measure year-round movements of golden eagles (Aquila chrysaetos) from the Mojave Desert of California, USA. We estimated monthly space use with adaptive local convex hulls to identify the temporal and spatial scales at which eagles may encounter renewable energy projects in the Desert Renewable Energy Conservation Plan area. Mean size of home ranges was lowest and least variable from November through January and greatest in February–March and May–August. These monthly home range patterns coincided with seasonal variation in breeding ecology, habitat associations, and temperature. The expanded home ranges in hot summer months included movements to cooler, prey-dense, mountainous areas characterized by forest, grasslands, and scrublands. Breeding-season home ranges (October–May) included more lowland semi-desert and rock vegetation. Overlap of eagle home ranges and focus areas for renewable energy development was greatest when eagle home ranges were smallest, during the breeding season. Golden eagles in the Mojave Desert used more space and a wider range of habitat types than expected and renewable energy projects could affect a larger section of the regional population than was previously thought.

  19. Information Regarding the OraQuick In-Home HIV Test

    MedlinePlus

    ... test? Information on the OraQuick In-Home HIV Test can be found on FDA’s website . Additionally, information can be obtained from the manufacturer, OraSure Technologies. back to top More in Premarket Approvals (PMAs) ...

  20. Neural networks as perpetual information generators

    NASA Astrophysics Data System (ADS)

    Englisch, Harald; Xiao, Yegao; Yao, Kailun

    1991-07-01

    The information gain in a neural network cannot be larger than the bit capacity of the synapses. It is shown that the equation derived by Engel et al. [Phys. Rev. A 42, 4998 (1990)] for the strongly diluted network with persistent stimuli contradicts this condition. Furthermore, for any time step the correct equation is derived by taking the correlation between random variables into account.

  1. Computational inference of neural information flow networks.

    PubMed

    Smith, V Anne; Yu, Jing; Smulders, Tom V; Hartemink, Alexander J; Jarvis, Erich D

    2006-11-24

    Determining how information flows along anatomical brain pathways is a fundamental requirement for understanding how animals perceive their environments, learn, and behave. Attempts to reveal such neural information flow have been made using linear computational methods, but neural interactions are known to be nonlinear. Here, we demonstrate that a dynamic Bayesian network (DBN) inference algorithm we originally developed to infer nonlinear transcriptional regulatory networks from gene expression data collected with microarrays is also successful at inferring nonlinear neural information flow networks from electrophysiology data collected with microelectrode arrays. The inferred networks we recover from the songbird auditory pathway are correctly restricted to a subset of known anatomical paths, are consistent with timing of the system, and reveal both the importance of reciprocal feedback in auditory processing and greater information flow to higher-order auditory areas when birds hear natural as opposed to synthetic sounds. A linear method applied to the same data incorrectly produces networks with information flow to non-neural tissue and over paths known not to exist. To our knowledge, this study represents the first biologically validated demonstration of an algorithm to successfully infer neural information flow networks.

  2. 78 FR 17418 - Rural Health Information Technology Network Development Grant

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-21

    ... HUMAN SERVICES Health Resources and Services Administration Rural Health Information Technology Network... award under the Rural Health Information Technology Network Development Grant (RHITND) to Grace... relinquishing its fiduciary responsibilities for the Rural Health Information Technology Network...

  3. Alone in a crowd. A study of social networks in home health and assisted living.

    PubMed

    Tremethick, M J

    2001-05-01

    This study demonstrated the need for intervention in social network development by both clients of home health and residents of assisted living facilities. With the well-known connection between social networks and health, it is vital that nurses working with these populations be aware of the potential for isolation, screen for it, and, if necessary, develop interventions in the care planning process to address the lack of social networks.

  4. Home Learning, Technology, and Tomorrow's Workplace.

    ERIC Educational Resources Information Center

    Rieseberg, Rhonda L.

    1995-01-01

    Discusses characteristics and trends of home schools and workplaces. Use of computers and computer applications (CD-ROMS, interactive software, and networking) in home schooling provides a compatible environment for future home-based businesses and telecommuting trends. Sidebars include information on home schools on line; standardized test…

  5. Home and School Technology: Wired versus Wireless.

    ERIC Educational Resources Information Center

    Van Horn, Royal

    2001-01-01

    Presents results of informal research on smart homes and appliances, structured home wiring, whole-house audio/video distribution, hybrid cable, and wireless networks. Computer network wiring is tricky to install unless all-in-one jacketed cable is used. Wireless phones help installers avoid pre-wiring problems in homes and schools. (MLH)

  6. Health information systems for home telehealth services--a nomenclature for sensor-enhanced transinstitutional information system architectures.

    PubMed

    Ludwig, Wolfram; Wolf, Klaus-Hendrik; Duwenkamp, Christopher; Gusew, Nathalie; Hellrung, Nils; Marschollek, Michael; Von Bargen, Tobias; Wagner, Markus; Haux, Reinhold

    2010-01-01

    Home telehealth services for elderly people promise to contribute to a more efficient health care in the future. Though isolated services at a patient's home might make sense for some applications, the full potential of home telehealth only arises through its integration into existing health information systems (HIS) and care processes. We know about traditional HIS architectures. However, so far no models exist, helping us to understand and describe the upcoming sensor-enhanced transinstitutional information system architectures for home telehealth services. To develop a nomenclature for sensor-enhanced transinstitutional health information system architectures. We conducted two systematic literature reviews, assessing typical services and users of home telehealth and key characteristics of transinstitutional health information system architectures. The information retrieved from both reviews was integrated to build the nomenclature sought after. We present a nomenclature of information and communication technology (ICT) architectures for home telehealth services. The developed dimensions provide an overview on typical users, services, operating organisations, information flow, geographical reach and architectural paradigms of sensor-enhanced transinstitutional health information systems. The developed nomenclature helps us to better understand the upcoming ICT architectures. However, we are still in need of further experiences with their application.

  7. Child Rights Information Network Newsletter, 1997.

    ERIC Educational Resources Information Center

    Purbrick, Becky, Ed.

    1997-01-01

    These three newsletter issues communicate activities of the Child Rights Information Network (CRIN) and report on information resources and worldwide activities concerning children and child rights. The January 1997 issue profiles CRIN members in Costa Rica, Tanzania, Germany, and Switzerland; and provides updates on the activities of projects…

  8. Information Retrieval as a Network Application.

    ERIC Educational Resources Information Center

    Lynch, Clifford A.

    1990-01-01

    Describes the function of the Open Systems Interconnection (OSI) Z39.50 protocol, which allows for construction of information "servers"--i.e., resources attached to a computer communications network that can be accessed by client machines to retrieve information. The relationship of Z39.5 to other OSI protocols is explained. (23…

  9. Protecting Personal Information on Social Networking Sites

    ERIC Educational Resources Information Center

    Gallant, David T.

    2011-01-01

    Almost everyone uses social networking sites like Facebook, MySpace, and LinkedIn. Since Facebook is the most popular site in the history of the Internet, this article will focus on how one can protect his/her personal information and how that extends to protecting the private information of others.

  10. Distributing Executive Information Systems through Networks.

    ERIC Educational Resources Information Center

    Penrod, James I.; And Others

    1993-01-01

    Many colleges and universities will soon adopt distributed systems for executive information and decision support. Distribution of shared information through computer networks will improve decision-making processes dramatically on campuses. Critical success factors include administrative support, favorable organizational climate, ease of use,…

  11. Weight-Control Information Network

    MedlinePlus

    ... from our online catalog . ​ Tips for Healthy Eating & Physical Activity For Adults For Pregnancy For Parents For Older ... topics.​​​​​ ​Discover up-to-date information on nutrition, physical activity, and weight control WIN Health Topics A-Z ...

  12. Fisheries Information Network in Indonesia.

    ERIC Educational Resources Information Center

    Balachandran, Sarojini

    During the early 1980s the Indonesian government made a policy decision to develop fisheries as an important sector of the national economy. In doing so, it recognized the need for the collection and dissemination of fisheries research information not only for the scientists themselves, but also for the ultimate transfer of technology through…

  13. Information transfer in community structured multiplex networks

    NASA Astrophysics Data System (ADS)

    Solé Ribalta, Albert; Granell, Clara; Gómez, Sergio; Arenas, Alex

    2015-08-01

    The study of complex networks that account for different types of interactions has become a subject of interest in the last few years, specially because its representational power in the description of users interactions in diverse online social platforms (Facebook, Twitter, Instagram, etc.). The mathematical description of these interacting networks has been coined under the name of multilayer networks, where each layer accounts for a type of interaction. It has been shown that diffusive processes on top of these networks present a phenomenology that cannot be explained by the naive superposition of single layer diffusive phenomena but require the whole structure of interconnected layers. Nevertheless, the description of diffusive phenomena on multilayer networks has obviated the fact that social networks have strong mesoscopic structure represented by different communities of individuals driven by common interests, or any other social aspect. In this work, we study the transfer of information in multilayer networks with community structure. The final goal is to understand and quantify, if the existence of well-defined community structure at the level of individual layers, together with the multilayer structure of the whole network, enhances or deteriorates the diffusion of packets of information.

  14. Informed Decision Making for In-Home Use of Motion Sensor-Based Monitoring Technologies

    ERIC Educational Resources Information Center

    Bruce, Courtenay R.

    2012-01-01

    Motion sensor-based monitoring technologies are designed to maintain independence and safety of older individuals living alone. These technologies use motion sensors that are placed throughout older individuals' homes in order to derive information about eating, sleeping, and leaving/returning home habits. Deviations from normal behavioral…

  15. Forecasting Consumer Adoption of Information Technology and Services--Lessons from Home Video Forecasting.

    ERIC Educational Resources Information Center

    Klopfenstein, Bruce C.

    1989-01-01

    Describes research that examined the strengths and weaknesses of technological forecasting methods by analyzing forecasting studies made for home video players. The discussion covers assessments and explications of correct and incorrect forecasting assumptions, and their implications for forecasting the adoption of home information technologies…

  16. Enhancing the Utilization of Information Communication Technology (ICT) among Home Economics Lecturers in South Eastern Nigeria

    ERIC Educational Resources Information Center

    Ejinkeonye, Uju Bridget; Usoroh, Comfort I.

    2016-01-01

    The study was on enhancing the utilization of information communication Technology (ICT) among Home Economics lecturers in south Eastern Nigeria. The study adopted a survey method. The area of the study is south eastern Nigeria. Three research questions guided the study. The population was made up of 63 Home Economics lecturers from the six…

  17. A holistic approach to ZigBee performance enhancement for home automation networks.

    PubMed

    Betzler, August; Gomez, Carles; Demirkol, Ilker; Paradells, Josep

    2014-08-14

    Wireless home automation networks are gaining importance for smart homes. In this ambit, ZigBee networks play an important role. The ZigBee specification defines a default set of protocol stack parameters and mechanisms that is further refined by the ZigBee Home Automation application profile. In a holistic approach, we analyze how the network performance is affected with the tuning of parameters and mechanisms across multiple layers of the ZigBee protocol stack and investigate possible performance gains by implementing and testing alternative settings. The evaluations are carried out in a testbed of 57 TelosB motes. The results show that considerable performance improvements can be achieved by using alternative protocol stack configurations. From these results, we derive two improved protocol stack configurations for ZigBee wireless home automation networks that are validated in various network scenarios. In our experiments, these improved configurations yield a relative packet delivery ratio increase of up to 33.6%, a delay decrease of up to 66.6% and an improvement of the energy efficiency for battery powered devices of up to 48.7%, obtainable without incurring any overhead to the network.

  18. A Holistic Approach to ZigBee Performance Enhancement for Home Automation Networks

    PubMed Central

    Betzler, August; Gomez, Carles; Demirkol, Ilker; Paradells, Josep

    2014-01-01

    Wireless home automation networks are gaining importance for smart homes. In this ambit, ZigBee networks play an important role. The ZigBee specification defines a default set of protocol stack parameters and mechanisms that is further refined by the ZigBee Home Automation application profile. In a holistic approach, we analyze how the network performance is affected with the tuning of parameters and mechanisms across multiple layers of the ZigBee protocol stack and investigate possible performance gains by implementing and testing alternative settings. The evaluations are carried out in a testbed of 57 TelosB motes. The results show that considerable performance improvements can be achieved by using alternative protocol stack configurations. From these results, we derive two improved protocol stack configurations for ZigBee wireless home automation networks that are validated in various network scenarios. In our experiments, these improved configurations yield a relative packet delivery ratio increase of up to 33.6%, a delay decrease of up to 66.6% and an improvement of the energy efficiency for battery powered devices of up to 48.7%, obtainable without incurring any overhead to the network. PMID:25196004

  19. 77 FR 64386 - Agency Information Collection Activities (Per Diem for Nursing Home Care of Veterans in State...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-19

    ... AFFAIRS Agency Information Collection Activities (Per Diem for Nursing Home Care of Veterans in State... currently approved collection. Abstract: VA pays per diem to State homes providing nursing home and adult day health services care to Veterans. VA requires facilities providing nursing home and adult...

  20. Transitioning Newborns from NICU to Home: Family Information Packet

    MedlinePlus

    ... for emergencies. Return to Appendix Contents Tips About Health Insurance Your baby will need to visit the doctor ... newborn to your insurance plan. Call your current insurance company as soon as ... Home, and other low-cost health care benefits if you do not qualify for ...

  1. Personal Web home pages of adolescents with cancer: self-presentation, information dissemination, and interpersonal connection.

    PubMed

    Suzuki, Lalita K; Beale, Ivan L

    2006-01-01

    The content of personal Web home pages created by adolescents with cancer is a new source of information about this population of potential benefit to oncology nurses and psychologists. Individual Internet elements found on 21 home pages created by youths with cancer (14-22 years old) were rated for cancer-related self-presentation, information dissemination, and interpersonal connection. Examples of adolescents' online narratives were also recorded. Adolescents with cancer used various Internet elements on their home pages for cancer-related self-presentation (eg, welcome messages, essays, personal history and diary pages, news articles, and poetry), information dissemination (e.g., through personal interest pages, multimedia presentations, lists, charts, and hyperlinks), and interpersonal connection (eg, guestbook entries). Results suggest that various elements found on personal home pages are being used by a limited number of young patients with cancer for self-expression, information access, and contact with peers.

  2. Minimum energy information fusion in sensor networks

    SciTech Connect

    Chapline, G

    1999-05-11

    In this paper we consider how to organize the sharing of information in a distributed network of sensors and data processors so as to provide explanations for sensor readings with minimal expenditure of energy. We point out that the Minimum Description Length principle provides an approach to information fusion that is more naturally suited to energy minimization than traditional Bayesian approaches. In addition we show that for networks consisting of a large number of identical sensors Kohonen self-organization provides an exact solution to the problem of combing the sensor outputs into minimal description length explanations.

  3. Evaluation of the impact of furniture on communications performance for ubiquitous deployment of Wireless Sensor Networks in smart homes.

    PubMed

    Bleda, Andrés L; Jara, Antonio J; Maestre, Rafael; Santa, Guadalupe; Gómez Skarmeta, Antonio F

    2012-01-01

    The extensions of the environment with the integration of sensing systems in any space, in conjunction with ubiquitous computing are enabling the so-called Smart Space Sensor Networks. This new generation of networks are offering full connectivity with any object, through the Internet of Things (IoT) and/or the Web, i.e., the Web of Things. These connectivity capabilities are making it feasible to sense the behaviours of people at home and act accordingly. These sensing systems must be integrated within typical elements found at home such as furniture. For that reason, this work considers furniture as an interesting element for the transparent location of sensors. Furniture is a ubiquitous object, i.e., it can be found everywhere at home or the office, and it can integrate and hide the sensors of a network. This work addresses the lack of an exhaustive study of the effect of furniture on signal losses. In addition an easy-to-use tool for estimating the robustness of the communication channel among the sensor nodes and gateways is proposed. Specifically, the losses in a sensor network signal due to the materials found within the communication link are evaluated. Then, this work proposes a software tool that gathers the obtained results and is capable of evaluating the impact of a given set of materials on the communications. This tool also provides a mechanism to optimize the sensor network deployments during the definition of smart spaces. Specifically, it provides information such as: maximum distances between sensor nodes, most suitable type of furniture to integrate sensors, or battery life of sensor nodes. This tool has been validated empirically in the lab, and it is currently being used by several enterprise partners of the Technological Centre of Furniture and Wood in the southeast of Spain.

  4. Evaluation of the Impact of Furniture on Communications Performance for Ubiquitous Deployment of Wireless Sensor Networks in Smart Homes

    PubMed Central

    Bleda, Andrés L.; Jara, Antonio J.; Maestre, Rafael; Santa, Guadalupe; Gómez Skarmeta, Antonio F.

    2012-01-01

    The extensions of the environment with the integration of sensing systems in any space, in conjunction with ubiquitous computing are enabling the so-called Smart Space Sensor Networks. This new generation of networks are offering full connectivity with any object, through the Internet of Things (IoT) and/or the Web, i.e., the Web of Things. These connectivity capabilities are making it feasible to sense the behaviours of people at home and act accordingly. These sensing systems must be integrated within typical elements found at home such as furniture. For that reason, this work considers furniture as an interesting element for the transparent location of sensors. Furniture is a ubiquitous object, i.e., it can be found everywhere at home or the office, and it can integrate and hide the sensors of a network. This work addresses the lack of an exhaustive study of the effect of furniture on signal losses. In addition an easy-to-use tool for estimating the robustness of the communication channel among the sensor nodes and gateways is proposed. Specifically, the losses in a sensor network signal due to the materials found within the communication link are evaluated. Then, this work proposes a software tool that gathers the obtained results and is capable of evaluating the impact of a given set of materials on the communications. This tool also provides a mechanism to optimize the sensor network deployments during the definition of smart spaces. Specifically, it provides information such as: maximum distances between sensor nodes, most suitable type of furniture to integrate sensors, or battery life of sensor nodes. This tool has been validated empirically in the lab, and it is currently being used by several enterprise partners of the Technological Centre of Furniture and Wood in the southeast of Spain. PMID:22778653

  5. Integrated multimedia information system on interactive CATV network

    NASA Astrophysics Data System (ADS)

    Lee, Meng-Huang; Chang, Shin-Hung

    1998-10-01

    In the current CATV system architectures, they provide one- way delivery of a common menu of entertainment to all the homes through the cable network. Through the technologies evolution, the interactive services (or two-way services) can be provided in the cable TV systems. They can supply customers with individualized programming and support real- time two-way communications. With a view to the service type changed from the one-way delivery systems to the two-way interactive systems, `on demand services' is a distinct feature of multimedia systems. In this paper, we present our work of building up an integrated multimedia system on interactive CATV network in Shih Chien University. Besides providing the traditional analog TV programming from the cable operator, we filter some channels to reserve them as our campus information channels. In addition to the analog broadcasting channel, the system also provides the interactive digital multimedia services, e.g. Video-On- Demand (VOD), Virtual Reality, BBS, World-Wide-Web, and Internet Radio Station. These two kinds of services are integrated in a CATV network by the separation of frequency allocation for the analog broadcasting service and the digital interactive services. Our ongoing work is to port our previous work of building up a VOD system conformed to DAVIC standard (for inter-operability concern) on Ethernet network into the current system.

  6. Information filtering on coupled social networks.

    PubMed

    Nie, Da-Cheng; Zhang, Zi-Ke; Zhou, Jun-Lin; Fu, Yan; Zhang, Kui

    2014-01-01

    In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering algorithm, based on the coupled social networks, considers the effects of both social similarity and personalized preference. Experimental results based on two real datasets, Epinions and Friendfeed, show that the hybrid pattern can not only provide more accurate recommendations, but also enlarge the recommendation coverage while adopting global metric. Further empirical analyses demonstrate that the mutual reinforcement and rich-club phenomenon can also be found in coupled social networks where the identical individuals occupy the core position of the online system. This work may shed some light on the in-depth understanding of the structure and function of coupled social networks.

  7. Information Filtering on Coupled Social Networks

    PubMed Central

    Nie, Da-Cheng; Zhang, Zi-Ke; Zhou, Jun-Lin; Fu, Yan; Zhang, Kui

    2014-01-01

    In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering algorithm, based on the coupled social networks, considers the effects of both social similarity and personalized preference. Experimental results based on two real datasets, Epinions and Friendfeed, show that the hybrid pattern can not only provide more accurate recommendations, but also enlarge the recommendation coverage while adopting global metric. Further empirical analyses demonstrate that the mutual reinforcement and rich-club phenomenon can also be found in coupled social networks where the identical individuals occupy the core position of the online system. This work may shed some light on the in-depth understanding of the structure and function of coupled social networks. PMID:25003525

  8. Optimal Network Modularity for Information Diffusion

    NASA Astrophysics Data System (ADS)

    Nematzadeh, Azadeh; Ferrara, Emilio; Flammini, Alessandro; Ahn, Yong-Yeol

    2014-08-01

    We investigate the impact of community structure on information diffusion with the linear threshold model. Our results demonstrate that modular structure may have counterintuitive effects on information diffusion when social reinforcement is present. We show that strong communities can facilitate global diffusion by enhancing local, intracommunity spreading. Using both analytic approaches and numerical simulations, we demonstrate the existence of an optimal network modularity, where global diffusion requires the minimal number of early adopters.

  9. Networked Information Resources. SPEC Kit 253.

    ERIC Educational Resources Information Center

    Bleiler, Richard, Comp.; Plum, Terry, Comp.

    1999-01-01

    This SPEC Kit, published six times per year, examines how Association of Research Libraries (ARL) libraries have structured themselves to identify networked information resources in the market, to evaluate them for purchase, to make purchasing decisions, to publicize them, and to assess their continued utility. In the summer of 1999, the survey…

  10. OASIS: Prototyping Graphical Interfaces to Networked Information.

    ERIC Educational Resources Information Center

    Buckland, Michael K.; And Others

    1993-01-01

    Describes the latest modifications being made to OASIS, a front-end enhancement to the University of California's MELVYL online union catalog. Highlights include the X Windows interface; multiple database searching to act as an information network; Lisp implementation for flexible data representation; and OASIS commands and features to help…

  11. Providing Outcomes Information to Nursing Homes: Can It Improve Quality of Care?

    ERIC Educational Resources Information Center

    Castle, Nicholas G.

    2003-01-01

    Purpose: This study examined whether providing outcomes information to 120 nursing homes facilitated improvements in quality over a 12-month period, as compared with 1,171 facilities not receiving this information. The outcomes information provided consisted of a report mailed to administrators that examined six measures of care quality. These…

  12. Adding home health care to the discussion on health information technology policy.

    PubMed

    Ruggiano, Nicole; Brown, Ellen L; Hristidis, Vagelis; Page, Timothy F

    2013-01-01

    The potential for health information technology to improve the efficiency and effectiveness of health care has resulted in several U.S. policy initiatives aimed at integrating health information technology into health care systems. However, home health care agencies have been excluded from incentive programs established through policies, raising concerns on the extent to which health information technology may be used to improve the quality of care for older adults with chronic illness and disabilities. This analysis examines the potential issues stemming from this exclusion and explores potential opportunities of integrating home health care into larger initiatives aimed at establishing health information technology systems for meaningful use.

  13. 76 FR 67750 - Homeland Security Information Network Advisory Committee

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-11-02

    ... SECURITY Homeland Security Information Network Advisory Committee AGENCY: Department of Homeland Security... Applicants for Appointment to Homeland Security Information Network Advisory Committee. SUMMARY: The Secretary of Homeland Security has determined that the renewal of the Homeland Security Information...

  14. Information diffusion in structured online social networks

    NASA Astrophysics Data System (ADS)

    Li, Pei; Zhang, Yini; Qiao, Fengcai; Wang, Hui

    2015-05-01

    Nowadays, due to the word-of-mouth effect, online social networks have been considered to be efficient approaches to conduct viral marketing, which makes it of great importance to understand the diffusion dynamics in online social networks. However, most research on diffusion dynamics in epidemiology and existing social networks cannot be applied directly to characterize online social networks. In this paper, we propose models to characterize the information diffusion in structured online social networks with push-based forwarding mechanism. We introduce the term user influence to characterize the average number of times that messages are browsed which is incurred by a given type user generating a message, and study the diffusion threshold, above which the user influence of generating a message will approach infinity. We conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of use in understanding the diffusion dynamics in online social networks and also critical for advertisers in viral marketing who want to estimate the user influence before posting an advertisement.

  15. Improving information filtering via network manipulation

    NASA Astrophysics Data System (ADS)

    Zhang, Fuguo; Zeng, An

    2012-12-01

    The recommender system is a very promising way to address the problem of overabundant information for online users. Although the information filtering for the online commercial systems has received much attention recently, almost all of the previous works are dedicated to design new algorithms and consider the user-item bipartite networks as given and constant information. However, many problems for recommender systems such as the cold-start problem (i.e., low recommendation accuracy for the small-degree items) are actually due to the limitation of the underlying user-item bipartite networks. In this letter, we propose a strategy to enhance the performance of the already existing recommendation algorithms by directly manipulating the user-item bipartite networks, namely adding some virtual connections to the networks. Numerical analyses on two benchmark data sets, MovieLens and Netflix, show that our method can remarkably improves the recommendation performance. Specifically, it not only improves the recommendations accuracy (especially for the small-degree items), but also helps the recommender systems generate more diverse and novel recommendations.

  16. [Parenting problems, observation at home and support in a network].

    PubMed

    Legrée, Isabelle; Andro, Gwenaëlle; Baleyte, Jean-Marc

    2015-01-01

    Supporting parenthood in a family with multiple problems requires a strong network. In the case of difficulties in establishing the initial bonds between a couple and their baby, the perinatal psychiatric team, working with the mother and infant welfare protection service and the adult psychiatry service, can also put in place measures to support this family.

  17. New Learning Communities: Collaboration, Networking, and Information Literacy.

    ERIC Educational Resources Information Center

    Tompkins, Philip; Perry, Susan; Lippincott, Joan K.

    1998-01-01

    Discusses the New Learning Communities (NLC) program developed by CNI (Coalition for Networked Information) to support pioneers in education who use networking and networked information to support student-centered teaching and learning. Highlights include computer networks in higher education, especially the Internet; information literacy skills;…

  18. [Sharing information of urological cancer patient in terminal stage using Cybozulive® for home medical care].

    PubMed

    Yumura, Yasushi; Hattori, Yusuke; Gobara, Ayako; Takamoto, Daiji; Yasuda, Kengo; Nakamura, Masafumi; Noguchi, Kazumi; Asahina, Kan; Kamijo, Takeo

    2014-09-01

    It is very important to share patient information because home patient care involves several different specialties of care. We introduced Cybozulive ® , a cloud-based free groupware, for 14 terminal-stage patients with urological cancer to share information among doctors and co-medical staff. This system enables access to patient information regardless of time and place. Of the 14 patients (mean age 74.4 years), 11 died of cancer. The average period in which Cybozulive® was used for the patients was 210 days. The average number of entries to the electronic bulletin board in this period was 88.4. We were able to obtain more information about the patients from the website. There was no difference in the average number of times that the patient consulted the out patient clinic before and after the introduction of Cybozulive® (before 7.0 ; after 6.3). After introduction of this system, eleven patients were hospitalized in our department 21 times. Eighteen of these 21 times, since we had acquired patient information from the website beforehand, there was a quick response for management of the emergency admission. This system could be used to construct a network for home care and may be helpful for sharing patient information in homecare.

  19. Costs of Fiber-to-the-Home Passive Optical Network Unbundling

    NASA Astrophysics Data System (ADS)

    Carmona, David; Prat, Josep; Tomkos, Ioannis; Sánchez Marco, M. Pilar

    2013-01-01

    This work considers different unbundling options for local loop unbundling in order to provide multi-operator access and consider the economical impact for the fiber-to-the-home next-generation access entrants to deploy such alternatives. It is shown that deploying wavelength division multiplexing networks is an efficient strategy to perform local loop unbundling while upgrading the gigabit passive optical network for the new era where high bandwidths are necessary for satisfying customer demand. In areas with a high population density, wavelength division multiplexing techniques are the most suitable for entrant operators to access the incumbent's network and provide service.

  20. Nursing Homes

    MedlinePlus

    ... our e-newsletter! Aging & Health A to Z Nursing Homes Basic Facts & Information Nursing homes have changed ... physical health and/or mental disabilities. Is a Nursing Home Right for You? Almost half of all ...

  1. 78 FR 76193 - Agency Information Collection (Care Coordination Home Telehealth (CCHT) Patient Satisfaction...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-16

    ... AFFAIRS Agency Information Collection (Care Coordination Home Telehealth (CCHT) Patient Satisfaction... comments on the information collection required to obtain patient perspective on satisfaction with the CCHT... (CCHT) Patient Satisfaction Survey, VA Form 10-0481. Type of Review: Extension of a currently...

  2. Transmission of information in active networks

    NASA Astrophysics Data System (ADS)

    Baptista, M. S.; Kurths, J.

    2008-02-01

    Shannon’s capacity theorem is the main concept behind the theory of communication. It says that if the amount of information contained in a signal is smaller than the channel capacity of a physical media of communication, it can be transmitted with arbitrarily small probability of error. This theorem is usually applicable to ideal channels of communication in which the information to be transmitted does not alter the passive characteristics of the channel that basically tries to reproduce the source of information. For an active channel, a network formed by elements that are dynamical systems (such as neurons, chaotic or periodic oscillators), it is unclear if such theorem is applicable, once an active channel can adapt to the input of a signal, altering its capacity. To shed light into this matter, we show, among other results, how to calculate the information capacity of an active channel of communication. Then, we show that the channel capacity depends on whether the active channel is self-excitable or not and that, contrary to a current belief, desynchronization can provide an environment in which large amounts of information can be transmitted in a channel that is self-excitable. An interesting case of a self-excitable active channel is a network of electrically connected Hindmarsh-Rose chaotic neurons.

  3. Building cost-effective networks for the home market, using programmable splitters and flexible PONs

    NASA Astrophysics Data System (ADS)

    Queller, Abe

    2005-02-01

    PONs are gaining popularity in areas with high population density. Extensive deployment of fiber plant, along with the introduction of cost effective network devices promise ample of affordable bandwidth to the home and the premise. The distribution network is typically organized as tree architecture and utilizes simple optical splitters. The use of fixed splitters results, however, in a rigid topology, incapable of changes or expansion to meet the needs of demographic changes. A new breed of splitters, based on Planar Lightwave Circuit (PLC) technology, allows service providers to programmatically change the split rations. This feature facilitates a phased build-out of the PON network or changes to the network topology. This article describes the underlying technology for these programmable splitters and explains how they can add flexibility to PON networks.

  4. Prenatal-Postnatal Intervention: A Description and Discussion of Preliminary Findings of a Home Visit Program Supplying Cognitive, Nutritional and Health Information to Disadvantaged Homes.

    ERIC Educational Resources Information Center

    Wright, Charlene; And Others

    This paper describes the development of a program which uses paraprofessional home visitors, known as Child Development Trainers, as disseminators of information necessary for the growth and development of the fetus and young infant. These Trainers serve a low income population. Weekly home visits were designed to aid the expectant mother to…

  5. ERMHAN: A Context-Aware Service Platform to Support Continuous Care Networks for Home-Based Assistance.

    PubMed

    Paganelli, Federica; Spinicci, Emilio; Giuli, Dino

    2008-01-01

    Continuous care models for chronic diseases pose several technology-oriented challenges for home-based continuous care, where assistance services rely on a close collaboration among different stakeholders such as health operators, patient relatives, and social community members. Here we describe Emilia Romagna Mobile Health Assistance Network (ERMHAN) a multichannel context-aware service platform designed to support care networks in cooperating and sharing information with the goal of improving patient quality of life. In order to meet extensibility and flexibility requirements, this platform has been developed through ontology-based context-aware computing and a service oriented approach. We also provide some preliminary results of performance analysis and user survey activity.

  6. Maximizing information exchange between complex networks

    NASA Astrophysics Data System (ADS)

    West, Bruce J.; Geneston, Elvis L.; Grigolini, Paolo

    2008-10-01

    modern research overarching all of the traditional scientific disciplines. The transportation networks of planes, highways and railroads; the economic networks of global finance and stock markets; the social networks of terrorism, governments, businesses and churches; the physical networks of telephones, the Internet, earthquakes and global warming and the biological networks of gene regulation, the human body, clusters of neurons and food webs, share a number of apparently universal properties as the networks become increasingly complex. Ubiquitous aspects of such complex networks are the appearance of non-stationary and non-ergodic statistical processes and inverse power-law statistical distributions. Herein we review the traditional dynamical and phase-space methods for modeling such networks as their complexity increases and focus on the limitations of these procedures in explaining complex networks. Of course we will not be able to review the entire nascent field of network science, so we limit ourselves to a review of how certain complexity barriers have been surmounted using newly applied theoretical concepts such as aging, renewal, non-ergodic statistics and the fractional calculus. One emphasis of this review is information transport between complex networks, which requires a fundamental change in perception that we express as a transition from the familiar stochastic resonance to the new concept of complexity matching.

  7. [Use of the DIAPHANE information system for the monitoring of patients treated by home hemodialysis].

    PubMed

    Masselot, J P; Adhemar, J P; Laederich, J; Degoulet, P; Kleinknecht, D

    1979-12-01

    Data of the DIAPHANE Dialyse-Informatique system of the Society of Nephrology have been collected by patients just on a home dialysis program after training in the hemodialysis Unit of the Hospital of Montreuil. 35 patients have been using the computerized records since January 1978. A critical analysis of the first year has been made and results obtained have been compared with those obtained during the same period in patients dialysed in the Hospital. Results show that home dialysis patients are well able to fill in the computerized medical record concerning the dialysis session follow-up, and that the quality of the recorded information is similar to that recorded in hospital by nurses. Nevertheless few simplifications of home dialysis data sheet are considered. Computerized treatment of data collected on home dialysis program should allow useful comparisons required to improve the quality of care and expansion of this dialysis method.

  8. Network-based rehabilitation increases formal support of frail elderly home-dwelling persons in Finland: randomised controlled trial.

    PubMed

    Ollonqvist, Kirsi; Aaltonen, Tuula; Karppi, Sirkka-Liisa; Hinkka, Katariina; Pöntinen, Seppo

    2008-03-01

    The AGE study is a national randomised, long-term, multicentre research project aimed at comparing a new network-based rehabilitation programme with the use of standard health and social services. The use of home help services is associated with increasing age, living alone and having difficulties with activities of daily living. During a rehabilitation intervention the elderly participants' need for care can be assessed. The focus of this paper is to investigate the possible effects of the network-based rehabilitation programme on the use of informal and formal support among home-dwelling elderly at a high risk of long-term institutionalisation. The randomised controlled trial with a 12-month follow-up was implemented in 7 rehabilitation centres and 41 municipalities in Finland. The participants were recruited between January and October 2002. A total of 708 home-dwelling persons aged 65 years or older with progressively decreasing functional capacity and at the risk of being institutionalised within 2 years participated. Persons with acute or progressive diseases or poor cognitive capacity (Mini Mental State Examination<18 points), and those who had participated in any inpatient rehabilitation during the preceding 5 years, were excluded. Participants were randomly allocated to the intervention group (n=343) or to the control group (n=365). The intervention consisted of a network-based rehabilitation programme specifically designed for frail elderly people. Main outcome measures included the help received from relatives and municipal or private services. The use of municipal services increased more in the intervention group (P<0.05) than in the control group. Support from relatives decreased in the control group. The rehabilitees' ability to manage with daily activities decreased and they received additional help; hence, in this respect the rehabilitation model seems successful. A longer follow-up within the still ongoing AGE study is needed to verify whether the

  9. Identification of Boolean Networks Using Premined Network Topology Information.

    PubMed

    Zhang, Xiaohua; Han, Huaxiang; Zhang, Weidong

    2017-02-01

    This brief aims to reduce the data requirement for the identification of Boolean networks (BNs) by using the premined network topology information. First, a matching table is created and used for sifting the true from the false dependences among the nodes in the BNs. Then, a dynamic extension to matching table is developed to enable the dynamic locating of matching pairs to start as soon as possible. Next, based on the pseudocommutative property of the semitensor product, a position-transform mining is carried out to further improve data utilization. Combining the above, the topology of the BNs can be premined for the subsequent identification. Examples are given to illustrate the efficiency of reducing the data requirement. Some excellent features, such as the online and parallel processing ability, are also demonstrated.

  10. Comparing patient and provider perceptions of home- and community-based services: social network analysis as a service integration metric.

    PubMed

    Ryan, David P; Puri, Manveen; Liu, Barbara A

    2013-01-01

    Integrated home- and community-based services (HCBS) for frail seniors require a unique style of teamwork and collaboration. In four case studies, patient perceptions of teamwork and collaboration among their HCBS care providers are compared with those of the providers themselves using network analysis. The degree of coherence between these perceived networks are examined using network analytics, and network visualizations are discussed. The value of network analysis in research on HCBS is considered.

  11. Optimal Learning Paths in Information Networks

    PubMed Central

    Rodi, G. C.; Loreto, V.; Servedio, V. D. P.; Tria, F.

    2015-01-01

    Each sphere of knowledge and information could be depicted as a complex mesh of correlated items. By properly exploiting these connections, innovative and more efficient navigation strategies could be defined, possibly leading to a faster learning process and an enduring retention of information. In this work we investigate how the topological structure embedding the items to be learned can affect the efficiency of the learning dynamics. To this end we introduce a general class of algorithms that simulate the exploration of knowledge/information networks standing on well-established findings on educational scheduling, namely the spacing and lag effects. While constructing their learning schedules, individuals move along connections, periodically revisiting some concepts, and sometimes jumping on very distant ones. In order to investigate the effect of networked information structures on the proposed learning dynamics we focused both on synthetic and real-world graphs such as subsections of Wikipedia and word-association graphs. We highlight the existence of optimal topological structures for the simulated learning dynamics whose efficiency is affected by the balance between hubs and the least connected items. Interestingly, the real-world graphs we considered lead naturally to almost optimal learning performances. PMID:26030508

  12. Pairwise network information and nonlinear correlations

    NASA Astrophysics Data System (ADS)

    Martin, Elliot A.; Hlinka, Jaroslav; Davidsen, Jörn

    2016-10-01

    Reconstructing the structural connectivity between interacting units from observed activity is a challenge across many different disciplines. The fundamental first step is to establish whether or to what extent the interactions between the units can be considered pairwise and, thus, can be modeled as an interaction network with simple links corresponding to pairwise interactions. In principle, this can be determined by comparing the maximum entropy given the bivariate probability distributions to the true joint entropy. In many practical cases, this is not an option since the bivariate distributions needed may not be reliably estimated or the optimization is too computationally expensive. Here we present an approach that allows one to use mutual informations as a proxy for the bivariate probability distributions. This has the advantage of being less computationally expensive and easier to estimate. We achieve this by introducing a novel entropy maximization scheme that is based on conditioning on entropies and mutual informations. This renders our approach typically superior to other methods based on linear approximations. The advantages of the proposed method are documented using oscillator networks and a resting-state human brain network as generic relevant examples.

  13. Pairwise network information and nonlinear correlations.

    PubMed

    Martin, Elliot A; Hlinka, Jaroslav; Davidsen, Jörn

    2016-10-01

    Reconstructing the structural connectivity between interacting units from observed activity is a challenge across many different disciplines. The fundamental first step is to establish whether or to what extent the interactions between the units can be considered pairwise and, thus, can be modeled as an interaction network with simple links corresponding to pairwise interactions. In principle, this can be determined by comparing the maximum entropy given the bivariate probability distributions to the true joint entropy. In many practical cases, this is not an option since the bivariate distributions needed may not be reliably estimated or the optimization is too computationally expensive. Here we present an approach that allows one to use mutual informations as a proxy for the bivariate probability distributions. This has the advantage of being less computationally expensive and easier to estimate. We achieve this by introducing a novel entropy maximization scheme that is based on conditioning on entropies and mutual informations. This renders our approach typically superior to other methods based on linear approximations. The advantages of the proposed method are documented using oscillator networks and a resting-state human brain network as generic relevant examples.

  14. Heuristic Scheme for Home Circuit Grouping andWavelength Assignment in LOBS-HC Networks

    NASA Astrophysics Data System (ADS)

    Yang, Ximin; Yi, Bo; Tang, Wan; Li, Jingcong

    2014-09-01

    Grouping the Home Circuits (HCs) with the same source is a critical issue of Labeled Optical Burst Switching with Home Circuit (LOBS-HC). To maximize the wavelength utilization in LOBS-HC ring networks, an HC grouping and wavelength assignment scheme, called Longest Path Matching and Graph Coloring (LPMGC), is proposed. LPMGC consists of two phases: grouping and wavelength assignment. First, a heuristic algorithm, named Longest Path Matching (LPM), is proposed to group the HCs according to the longest common path matching between HCs and to make each group as large as possible. And then, Graph Coloring (GC) is introduced to assign wavelengths for HC groups. The numerical results show that the proposed scheme performances better than Complementary HC Assignment (CHA) and some other heuristics in both unidirectional and bidirectional LOBS-HC ring networks in terms of wavelength utilization.

  15. Modeling and Detecting Feature Interactions among Integrated Services of Home Network Systems

    NASA Astrophysics Data System (ADS)

    Igaki, Hiroshi; Nakamura, Masahide

    This paper presents a framework for formalizing and detecting feature interactions (FIs) in the emerging smart home domain. We first establish a model of home network system (HNS), where every networked appliance (or the HNS environment) is characterized as an object consisting of properties and methods. Then, every HNS service is defined as a sequence of method invocations of the appliances. Within the model, we next formalize two kinds of FIs: (a) appliance interactions and (b) environment interactions. An appliance interaction occurs when two method invocations conflict on the same appliance, whereas an environment interaction arises when two method invocations conflict indirectly via the environment. Finally, we propose offline and online methods that detect FIs before service deployment and during execution, respectively. Through a case study with seven practical services, it is shown that the proposed framework is generic enough to capture feature interactions in HNS integrated services. We also discuss several FI resolution schemes within the proposed framework.

  16. [Sociability networks: approaches based on home-based therapeutic care services].

    PubMed

    Argiles, Carmen Terezinha Leal; Kantorski, Luciane Prado; Willrich, Janaína Quinzen; Antonacci, Milena Hohmann; Coimbra, Valéria Cristina Christello

    2013-07-01

    Home-based therapeutic services emerge in the context of psychiatric reform in Brazil, as a step forward in the policy of de-institutionalization, as well as being essential services to overcome custody practices, typical of the asylum model. These services provide spaces for care, welcome and decent housing for people whose family and social ties have been affected by internment in psychiatric hospitals. The article seeks to evaluate the sociability network of users of home-based therapeutic services in Alegrete in the State of Rio Grande do Sul, based on a case report. This study is part of the research on 'Networks that Rehabilitate'--evaluating innovative experiments in the composition of psychosocial care networks. Data from semi-structured interviews with the six workers of the service were used. It was observed that the service provides unique and innovative experience to find solutions that bring people with long periods of psychiatric hospitalization back together with their family, the community and city life, thereby eliminating the segregation to which they were subjected. Coaching residents and workers in the creation of home-based therapeutic care services reveals the potential to reintegrate mentally handicapped patients into society.

  17. A proxy technique for media content sharing among UPnP-enabled home networks

    NASA Astrophysics Data System (ADS)

    Lee, HyunRyong; Kim, JongWon

    2005-10-01

    We propose a proxy-based scheme for segment-based distributed streaming services among UPnP(universal plug and play)-enabled home networks. We design a "SHARE" module that extends HG (home gateway) with a UPnP-compatible protocol. By relaying SSDP (simple service discovery protocol) messages defined in the UPnP device architecture, the SHARE module provides connectivity that is needed to control other UPnP devices for streaming services among home networks. To provide the streaming services, the SHARE module tries to coordinate the distribution of streaming loads among multiple senders by using many-to-one distributed streaming service. It also tries to minimize the quality degradation of streaming services based on the system and network resource status of each sender by leveraging the UPnP QoS services. That is, pre-allocation of HG resources according to the UPnP QoS services can be used to improve the quality of streaming services. Based on the UPnP components, the SHARE module provides the transparent content sharing to users. Through design-level verifications and partial implementations of the proposed SHARE module, we validate the feasibility of our work.

  18. Deep Space Network information system architecture study

    NASA Technical Reports Server (NTRS)

    Beswick, C. A.; Markley, R. W. (Editor); Atkinson, D. J.; Cooper, L. P.; Tausworthe, R. C.; Masline, R. C.; Jenkins, J. S.; Crowe, R. A.; Thomas, J. L.; Stoloff, M. J.

    1992-01-01

    The purpose of this article is to describe an architecture for the Deep Space Network (DSN) information system in the years 2000-2010 and to provide guidelines for its evolution during the 1990s. The study scope is defined to be from the front-end areas at the antennas to the end users (spacecraft teams, principal investigators, archival storage systems, and non-NASA partners). The architectural vision provides guidance for major DSN implementation efforts during the next decade. A strong motivation for the study is an expected dramatic improvement in information-systems technologies, such as the following: computer processing, automation technology (including knowledge-based systems), networking and data transport, software and hardware engineering, and human-interface technology. The proposed Ground Information System has the following major features: unified architecture from the front-end area to the end user; open-systems standards to achieve interoperability; DSN production of level 0 data; delivery of level 0 data from the Deep Space Communications Complex, if desired; dedicated telemetry processors for each receiver; security against unauthorized access and errors; and highly automated monitor and control.

  19. Formal and informal home learning activities in relation to children's early numeracy and literacy skills: the development of a home numeracy model.

    PubMed

    Skwarchuk, Sheri-Lynn; Sowinski, Carla; LeFevre, Jo-Anne

    2014-05-01

    The purpose of this study was to propose and test a model of children's home numeracy experience based on Sénéchal and LeFevre's home literacy model (Child Development, 73 (2002) 445-460). Parents of 183 children starting kindergarten in the fall (median child age=58 months) completed an early home learning experiences questionnaire. Most of the children whose parents completed the questionnaire were recruited for numeracy and literacy testing 1 year later (along with 32 children from the inner city). Confirmatory factor analyses were used to reduce survey items, and hierarchical regression analyses were used to predict the relation among parents' attitudes, academic expectations for their children, reports of formal and informal numeracy, and literacy home practices on children's test scores. Parental reports of formal home numeracy practices (e.g., practicing simple sums) predicted children's symbolic number system knowledge, whereas reports of informal exposure to games with numerical content (measured indirectly through parents' knowledge of children's games) predicted children's non-symbolic arithmetic, as did numeracy attitudes (e.g., parents' enjoyment of numeracy). The home literacy results replicated past findings; parental reports of formal literacy practices (e.g., helping their children to read words) predicted children's word reading, whereas reports of informal experiences (i.e., frequency of shared reading measured indirectly through parents' storybook knowledge) predicted children's vocabulary. These findings support a multifaceted model of children's early numeracy environment, with different types of early home experiences (formal and informal) predicting different numeracy outcomes.

  20. International School Health Network: an informal network for advocacy and knowledge exchange.

    PubMed

    McCall, Douglas S; Rootman, Irving; Bayley, Dale

    2005-01-01

    In Canada, researchers, policy-makers and non-governmental organisations have re-conceptualized the school setting as being an ecological entity, linked to parallel ecologies of the homes and the community it serves. The school, public health and other systems that seek to deliver programs in that setting are open, loosely coupled and bureaucratic. This reconceived view of the school as a setting for health promotion leads to an emphasis on building organizational, system, professional and community capacity. One of the most effective ways of building such capacities when resources are scarce is to invest in a variety of formal and informal networks that can sustain themselves with little or no external resources. A number of recognised researchers from the health and education sectors have emphasized this systems-based approach and the need to build supportive, small-scale networks or learning communities. In recent health promotion research, networking at various levels, across sectors and within communities is viewed as a key strategy within new, more effective health promotion strategies. In education, the notion of networking for educational change has been described as "learning communities" for continuous school improvement. The authors suggest that this strategy of networking be used at the international level to address several global challenges: There is no single, convenient way to obtain basic information about the status and nature of national and state/provincial school health programs around the world. There is no global research agenda in school health promotion, despite the obvious value of sharing such research and knowledge. There is no global mechanism to facilitate the development of common or shared tools for surveillance of child/youth health and monitoring of school health policies and programs, despite the excellent work being done in individual countries and by the European Network of Health Promoting Schools. There is no international

  1. Distributed personal health information management system for dermatology at the homes for senior citizens.

    PubMed

    Lavanya, J; Goh, K W; Leow, Y H; Chio, M T W; Prabaharan, K; Kim, E; Kim, Y; Soh, C B

    2006-01-01

    A distributed personal health information management system (D-PHIMS) has been tested at a nursing home for the senior citizens (NHSC) in Singapore. The personal health information management system (PHIMS) from the University of Washington was customized to Singapore's context for teledermatology. A clinical trial commenced in October 2005 is ongoing and the survey results obtained indicate that the participants are satisfied with the D-PHIMS system. The diagnosis and treatment recommendations made by the dermatologists using the D-PHIMS diagnosis module were effective in most cases based on feedback from the nursing staff at the elderly nursing home. The results suggest that a teledermatology system could become a useful tool for the nursing homes and to control increasing healthcare costs for elderly care.

  2. Effects of post-hospital Medicare home health and informal care on patient functional status.

    PubMed Central

    Penrod, J D; Kane, R L; Finch, M D; Kane, R A

    1998-01-01

    OBJECTIVE: To examine the effect of post-hospital Medicare home health and informal care on the functional status of 755 Medicare beneficiaries six weeks after hospital discharge for treatment of stroke, chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), hip procedures, and hip fractures. STUDY SETTING/DATA SOURCES: Consecutive patients enrolled in the study between March 1988 and February 1989 prior to discharge from one of 52 hospitals in three cities. Data sources included patient interviews, medical records, and the Medicare Automated Data Retrieval System (MADRS). ANALYSIS: The effect of the two types of care on patients' subsequent functional status was estimated using a selectivity corrected least squares regression of functional status six weeks post-discharge on hours of informal care, Medicare home health expenditures, and patient prior functional and cognitive status. DATA COLLECTION/EXTRACTION METHODS: Patients were interviewed before hospital discharge and six weeks later. The patient's primary caregiver was interviewed by telephone six weeks post-discharge. Patient data included demographic characteristics, illness severity, cognitive status, functional status at discharge and six weeks later, post-discharge expenditures for Medicare home health, and hours of informal care. PRINCIPAL FINDINGS: More informal care after discharge was associated with greater patient functional impairment six weeks later. The amount of Medicare home health that patients used had a nonsignificant effect on subsequent functional status. CONCLUSIONS: Post-acute home care may maintain the patient at home and compensate for functional limitations, rather than promote restoration of function. Future studies are needed to examine the effects of specific types of care, services, and providers as well as factors that mediate their effects on patient functional outcomes. PMID:9685120

  3. Mixed Methods Research of Adult Family Care Home Residents and Informal Caregivers

    ERIC Educational Resources Information Center

    Jeanty, Guy C.; Hibel, James

    2011-01-01

    This article describes a mixed methods approach used to explore the experiences of adult family care home (AFCH) residents and informal caregivers (IC). A rationale is presented for using a mixed methods approach employing the sequential exploratory design with this poorly researched population. The unique challenges attendant to the sampling…

  4. 75 FR 62410 - Notice of Proposed Information Collection: Comment Request; Home Equity Conversion Mortgage (HECM...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-08

    ... No: 2010-25350] DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT [Docket No. FR-5380-N-39] Notice of Proposed Information Collection: Comment Request; Home Equity Conversion Mortgage (HECM) Insurance... be sent to: Reports Liaison Officer, Department of Housing and Urban Development, 451 7th Street,...

  5. Implications of Information and Communication Technologies (ICT) for School-Home Communication

    ERIC Educational Resources Information Center

    Heath, Don; Maghrabi, Rozan; Carr, Nora

    2015-01-01

    Research demonstrates the positive impact of parental involvement on students, families and schools. Studies also indicate a close connection between effective school-home communication and increased parental involvement and engagement in learning. Effective selection and use of Information Communication Technologies (ICT) invites more effective…

  6. Cable television home-shopping stations and disabled persons: an informal look.

    PubMed

    Trinkaus, J

    1994-08-01

    Based in part as a service to handicapped people, the Federal Communications Commission has granted "must carry" protection to cable television home-shopping stations. An informal inquiry of the product mix presently being offered does not show that this mission is being fulfilled.

  7. Examining Health Information Technology Implementations: Case of the Patient-Centered Medical Home

    ERIC Educational Resources Information Center

    Behkami, Nima A.

    2012-01-01

    It has been shown that the use of Health Information Technology (HIT) is associated with reduced cost and increased quality of care. This dissertation examined the use of registries in Patient Centered Medical Home (PCMH) practices. A survey questionnaire was sent to a nationwide group of clinics certified for being a PCMH. They were asked to…

  8. Solar Energy: Uses for Your Home. The CIRcular: Consumer Information Report 15.

    ERIC Educational Resources Information Center

    Bank of America NT & SA, San Francisco, CA.

    This report defines active and passive solar energy systems, describes home uses for solar energy, and offers guidelines for choosing and installing a system. Much of the information is specific to the state of California. Uses for solar energy which are presented include passive space heating, passive cooling, active space heating, household…

  9. Essential elements of online information networks on invasive alien species

    USGS Publications Warehouse

    Simpson, A.; Sellers, E.; Grosse, A.; Xie, Y.

    2006-01-01

    In order to be effective, information must be placed in the proper context and organized in a manner that is logical and (preferably) standardized. Recently, invasive alien species (IAS) scientists have begun to create online networks to share their information concerning IAS prevention and control. At a special networking session at the Beijing International Symposium on Biological Invasions, an online Eastern Asia-North American IAS Information Network (EA-NA Network) was proposed. To prepare for the development of this network, and to provide models for other regional collaborations, we compare four examples of global, regional, and national online IAS information networks: the Global Invasive Species Information Network, the Invasives Information Network of the Inter-American Biodiversity Information Network, the Chinese Species Information System, and the Invasive Species Information Node of the US National Biological Information Infrastructure. We conclude that IAS networks require a common goal, dedicated leaders, effective communication, and broad endorsement, in order to obtain sustainable, long-term funding and long-term stability. They need to start small, use the experience of other networks, partner with others, and showcase benefits. Global integration and synergy among invasive species networks will succeed with contributions from both the top-down and the bottom-up. ?? 2006 Springer.

  10. Lewis Information Network (LINK): Background and overview

    NASA Technical Reports Server (NTRS)

    Schulte, Roger R.

    1987-01-01

    The NASA Lewis Research Center supports many research facilities with many isolated buildings, including wind tunnels, test cells, and research laboratories. These facilities are all located on a 350 acre campus adjacent to the Cleveland Hopkins Airport. The function of NASA-Lewis is to do basic and applied research in all areas of aeronautics, fluid mechanics, materials and structures, space propulsion, and energy systems. These functions require a great variety of remote high speed, high volume data communications for computing and interactive graphic capabilities. In addition, new requirements for local distribution of intercenter video teleconferencing and data communications via satellite have developed. To address these and future communications requirements for the next 15 yrs, a project team was organized to design and implement a new high speed communication system that would handle both data and video information in a common lab-wide Local Area Network. The project team selected cable television broadband coaxial cable technology as the communications medium and first installation of in-ground cable began in the summer of 1980. The Lewis Information Network (LINK) became operational in August 1982 and has become the backbone of all data communications and video.

  11. SBIR Phase II Final Report - Multi-Protocol Energy Management Gateway for Home-Area Networks

    SciTech Connect

    Hanna, Jason

    2015-02-06

    Significant amounts of electricity, natural gas, and heating oil are wasted by homeowners due to inefficient operation and inadequate maintenance of heating, ventilation, and air conditioning (HVAC) equipment. Coincident’s work under this award reduces energy waste, saves consumers money, and reduces carbon emissions. It does so in three ways: First, Coincident’s approach replaces the traditional thermostat with a wireless network of sensors and controllers that measure temperature, humidity and occupancy in multiple rooms in the house. The “Internet of Things” is a technology trend holding the promise of ubiquitous inexpensive sensors. The reality, however, is that energy and HVAC monitoring and management is a patchwork of incompatible protocols and expensive proprietary technologies. Coincident’s multi-protocol architecture, developed in part under this award tackles this problem and brings low cost interoperable sensor and control devices to market. Second, the Coincident system eliminates hard-to-program and rigid thermostat schedules and instead provides automatic operation of heating and cooling by combining individual temperature and comfort preferences with energy-saving targets, real-time utility use information, weather data, and room utilization patterns. Energy efficiency technology must be appealing to consumers otherwise it will not be used. The Coincident user interface has engaging features such as remote control from any smart phone or web browser and per-room performance breakdowns. Expected energy savings resulting from more efficient operation of heating and air conditioning equipment are in the range of 10-20%. Third, the Coincident system provides heating and air-conditioning contractors with fine-grained performance data for every residence they support (subject to customer privacy controls). This data is integrated from diverse networks within the residence and includes HVAC performance and fuel use data. This information allows

  12. Optimizing information flow in biological networks

    NASA Astrophysics Data System (ADS)

    Bialek, William

    2009-03-01

    The generation of physicists who turned to the phenomena of life in the 1930s realized that to understand these phenomena one would need to track not just the flow of energy (as in inanimate systems) but also the flow of information. It would take more than a decade before Shannon provided the tools to formalize this intuition, making precise the connection between entropy and information. Since Shannon, many investigators have explored the possibility that biological mechanisms are selected to maximize the efficiency with which information is transmitted or represented, subject to fundamental physical constraints. I will survey these efforts, emphasizing that the same principles are being used in thinking about biological systems at very different levels of organization, from bacteria to brains. Although sometimes submerged under concerns about particular systems, the idea that information flow is optimized provides us with a candidate for a real theory of biological networks, rather than just a collection of parameterized models. I will try to explain why I think the time is right to focus on this grand theoretical goal, pointing to some key open problems and opportunities for connection to emerging experiments.

  13. Experiences with using information and communication technology to build a multi-municipal support network for informal carers.

    PubMed

    Torp, Steffen; Bing-Jonsson, Pia C; Hanson, Elizabeth

    2013-09-01

    This multi-municipal intervention study explored whether informal carers of frail older people and disabled children living at home made use of information and communication technology (ICT) to gain knowledge about caring and to form informal support networks, thereby improving their health. Seventy-nine informal carers accessed web-based information about caring and an e-based discussion forum via their personal computers. They were able to maintain contact with each other using a web camera and via normal group meetings. After the first 12 months, 17 informal carers participated in focus group interviews and completed a short questionnaire. Four staff members were also interviewed. Participant carers who had prior experiences with a similar ICT-based support network reported greater satisfaction and more extensive use of the network than did participants with no such prior experience. It seems that infrequent usage of the service may be explained by too few other carers to identify with and inappropriate recruitment procedures. Nevertheless, carers of disabled children reported that the intervention had resulted in improved services across the participant municipalities. To achieve optimal effects of an ICT-based support network due attention must be given to recruitment processes and social environment building for which care practitioners require training and support.

  14. A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network

    PubMed Central

    Pirbhulal, Sandeep; Zhang, Heye; E Alahi, Md Eshrat; Ghayvat, Hemant; Mukhopadhyay, Subhas Chandra; Zhang, Yuan-Ting; Wu, Wanqing

    2016-01-01

    Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop the Internet of Things (IoT) for connecting everyday life objects to the internet. Hence, major challenges of WSNs include: (i) how to efficiently utilize small size and low-power nodes to implement security during data transmission among several sensor nodes; (ii) how to resolve security issues associated with the harsh and complex environmental conditions during data transmission over a long coverage range. In this study, a secure IoT-based smart home automation system was developed. To facilitate energy-efficient data encryption, a method namely Triangle Based Security Algorithm (TBSA) based on efficient key generation mechanism was proposed. The proposed TBSA in integration of the low power Wi-Fi were included in WSNs with the Internet to develop a novel IoT-based smart home which could provide secure data transmission among several associated sensor nodes in the network over a long converge range. The developed IoT based system has outstanding performance by fulfilling all the necessary security requirements. The experimental results showed that the proposed TBSA algorithm consumed less energy in comparison with some existing methods. PMID:28042831

  15. A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network.

    PubMed

    Pirbhulal, Sandeep; Zhang, Heye; E Alahi, Md Eshrat; Ghayvat, Hemant; Mukhopadhyay, Subhas Chandra; Zhang, Yuan-Ting; Wu, Wanqing

    2016-12-30

    Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop the Internet of Things (IoT) for connecting everyday life objects to the internet. Hence, major challenges of WSNs include: (i) how to efficiently utilize small size and low-power nodes to implement security during data transmission among several sensor nodes; (ii) how to resolve security issues associated with the harsh and complex environmental conditions during data transmission over a long coverage range. In this study, a secure IoT-based smart home automation system was developed. To facilitate energy-efficient data encryption, a method namely Triangle Based Security Algorithm (TBSA) based on efficient key generation mechanism was proposed. The proposed TBSA in integration of the low power Wi-Fi were included in WSNs with the Internet to develop a novel IoT-based smart home which could provide secure data transmission among several associated sensor nodes in the network over a long converge range. The developed IoT based system has outstanding performance by fulfilling all the necessary security requirements. The experimental results showed that the proposed TBSA algorithm consumed less energy in comparison with some existing methods.

  16. Exploring Health Information Exchange Implementation Using Qualitative Assessments of Nursing Home Leaders

    PubMed Central

    Alexander, Gregory L.; Popejoy, Lori; Lyons, Vanessa; Shumate, Sue; Mueller, Jessica; Galambos, Colleen; Vogelsmeier, Amy; Rantz, Marilyn; Flesner, Marcia

    2016-01-01

    Objectives Limited research exists on nursing home information technologies, such as health information exchange (HIE) systems. Capturing the experiences of early HIE adopters provides vital information about how these systems are used. In this study, we conduct a secondary analysis of qualitative data captured during interviews with 15 nursing home leaders representing 14 nursing homes in the midwestern United States that are part of the Missouri Quality Improvement Initiative (MOQI) national demonstration project. Methods The interviews were conducted as part of an external evaluation of the HIE vendor contracting with the MOQI initiative with the purpose of understanding the challenges and successes of HIE implementation, with a particular focus on Direct HIE services. Results Emerging themes included (1) incorporating HIE into existing work processes, (2) participation inside and outside the facility, (3) appropriate training and retraining, (4) getting others to use the HIE, (5) getting the HIE operational, and 6) putting policies for technology into place. Discussion Three essential areas should be considered for nursing homes considering HIE adoption: readiness to adopt technology, availability of technology resources, and matching of new clinical workflows. PMID:27843423

  17. 78 FR 6851 - Proposed Information Collection (Patient Satisfaction Survey Michael E. DeBakey Home Care Program...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-31

    ... AFFAIRS Proposed Information Collection (Patient Satisfaction Survey Michael E. DeBakey Home Care Program....'' SUPPLEMENTARY INFORMATION: Title: Patient Satisfaction Survey Michael E. DeBakey Home Care Program, VA Form 10.... Abstract: VA Form 10-0476 will be used to gather feedback from patients regarding their satisfaction...

  18. 76 FR 624 - Proposed Information Collection (Patient Satisfaction Survey Michael E. DeBakey Home Care Program...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-01-05

    ... AFFAIRS Proposed Information Collection (Patient Satisfaction Survey Michael E. DeBakey Home Care Program.... 2900-New (VA Form 10-0476).'' SUPPLEMENTARY INFORMATION: Title: Patient Satisfaction Survey Michael E... their satisfaction with the quality of services/care provided by home care program staff. An agency...

  19. Development of an Applied Framework for Understanding Health Information Technology in Nursing Homes.

    PubMed

    Degenholtz, Howard B; Resnick, Abby; Lin, Michael; Handler, Steven

    2016-05-01

    There is growing evidence that Health Information Technology (HIT) can play a role in improving quality of care and increasing efficiency in the nursing home setting. Most research in this area, however, has examined whether nursing homes have or use any of a list of available technologies. We sought to develop an empirical framework for understanding the intersection between specific uses of HIT and clinical care processes. Using the nominal group technique, we conducted a series of focus groups with different types of personnel who work in nursing homes (administrators, directors of nursing, physicians, mid-level practitioners, consultant pharmacists, and aides). The resulting framework identified key domain areas that can benefit from HIT: transfer of data, regulatory compliance, quality improvement, structured clinical documentation, medication use process, and communication. The framework can be used to guide both descriptive and normative research.

  20. Impact of home care management on the involvement of informal caregivers by formal caregivers.

    PubMed

    van Wieringen, Marieke; Broese van Groenou, Marjolein I; Groenewegen, Peter

    2015-01-01

    This study explores the link between management characteristics of home care agencies and the involvement of informal caregivers in caregiving. Based on a study of policy documents of two agencies and semi-structured interviews with five team managers and 31 formal caregivers, we conclude that, although the importance of involving informal caregivers is emphasized in official documentation, actual contact with informal caregivers is often lacking. Comparison of the work processes of the two agencies shows that contact with informal caregivers and their potential involvement are enhanced by smaller teams, less task division, and clarity about the responsibilities of formal caregivers.

  1. Nursing Homes Appeals of Deficiency Citations: The Informal Dispute Resolution Process

    PubMed Central

    Mukamel, Dana B.; Weimer, David L.; Li, Yue; Bailey, Lauren; Spector, William D.; Harrington, Charlene

    2012-01-01

    Objective Nursing homes found to be not meeting quality standards are cited for deficiencies. Before 1995, their only recourse was a formal appeal process, which is lengthy and costly. In 1995, the Centers for Medicare & Medicaid Services (CMS) instituted the Informal Dispute Resolution (IDR) process. This study presents for the first time national statistics about the IDR process and an analysis of the factors that influence nursing homes’ decisions to request an IDR. Design Retrospective study including descriptive statistics and multivariate logistic hierarchical models. Setting U.S. nursing homes in 2005 to 2008. Participant 15,916 Medicaid and Medicare certified nursing homes nationally, with 94,188 surveys and 9,388 IDRs. Measures The unit of observation was an annual survey or a complaint survey that generated at least one deficiency. The dependent variable was dichotomous and indicated whether the annual or a complaint survey triggered an IDR request. Independent variables included characteristics of the nursing home, the deficiency, the market, and the state regulatory environment. Results Ten percent of all annual surveys and complaint surveys resulted in IDRs. There was substantial variation across states, which persisted over time. Multivariate results suggest that nursing homes’ decisions to request an IDR depend on their assessment of the probability of success and assessment of the benefits of the submission. Conclusions Nursing homes avail themselves of the IDR process. Their propensity to do so depends on a number of factors, including the state regulatory system and the market environment in which they operate. PMID:22402171

  2. Patient satisfaction with a home televisiting service based on interactive television over a cable network.

    PubMed

    Valero, M A; Arredondo, M T; del Nogal, F; Rodríguez, J M; Frías, E

    2000-01-01

    Experience shows that high-quality audiovisual contact between remote health carers and patients facilitates a telemedicine service. However, the lack of broadband communication to the home usually prevents domestic televisiting. Deployment of cable networks in Spain has allowed the implementation of a home televisiting service designed for patients with chronic diseases. In a trial, 15 patients received televisits by three specialists and three nurses from the Severo Ochoa Hospital in Madrid. Five patients suffered from chronic pain, five were from the nephrology unit and five had been treated at the intensive-care unit after acute myocardial infarction. Each patient participated in three televisiting sessions, two provided by a specialist and the other by a nurse. The average length of a televisit was 12 min (range 5-21 min). The patients expressed their satisfaction with the service.

  3. VIOLIN: vaccine investigation and online information network.

    PubMed

    Xiang, Zuoshuang; Todd, Thomas; Ku, Kim P; Kovacic, Bethany L; Larson, Charles B; Chen, Fang; Hodges, Andrew P; Tian, Yuying; Olenzek, Elizabeth A; Zhao, Boyang; Colby, Lesley A; Rush, Howard G; Gilsdorf, Janet R; Jourdian, George W; He, Yongqun

    2008-01-01

    Vaccines are among the most efficacious and cost-effective tools for reducing morbidity and mortality caused by infectious diseases. The vaccine investigation and online information network (VIOLIN) is a web-based central resource, allowing easy curation, comparison and analysis of vaccine-related research data across various human pathogens (e.g. Haemophilus influenzae, human immunodeficiency virus (HIV) and Plasmodium falciparum) of medical importance and across humans, other natural hosts and laboratory animals. Vaccine-related peer-reviewed literature data have been downloaded into the database from PubMed and are searchable through various literature search programs. Vaccine data are also annotated, edited and submitted to the database through a web-based interactive system that integrates efficient computational literature mining and accurate manual curation. Curated information includes general microbial pathogenesis and host protective immunity, vaccine preparation and characteristics, stimulated host responses after vaccination and protection efficacy after challenge. Vaccine-related pathogen and host genes are also annotated and available for searching through customized BLAST programs. All VIOLIN data are available for download in an eXtensible Markup Language (XML)-based data exchange format. VIOLIN is expected to become a centralized source of vaccine information and to provide investigators in basic and clinical sciences with curated data and bioinformatics tools for vaccine research and development. VIOLIN is publicly available at http://www.violinet.org.

  4. Deep Space Network information system architecture study

    NASA Technical Reports Server (NTRS)

    Beswick, C. A.; Markley, R. W. (Editor); Atkinson, D. J.; Cooper, L. P.; Tausworthe, R. C.; Masline, R. C.; Jenkins, J. S.; Crowe, R. A.; Thomas, J. L.; Stoloff, M. J.

    1992-01-01

    The purpose of this article is to describe an architecture for the DSN information system in the years 2000-2010 and to provide guidelines for its evolution during the 1990's. The study scope is defined to be from the front-end areas at the antennas to the end users (spacecraft teams, principal investigators, archival storage systems, and non-NASA partners). The architectural vision provides guidance for major DSN implementation efforts during the next decade. A strong motivation for the study is an expected dramatic improvement in information-systems technologies--i.e., computer processing, automation technology (including knowledge-based systems), networking and data transport, software and hardware engineering, and human-interface technology. The proposed Ground Information System has the following major features: unified architecture from the front-end area to the end user; open-systems standards to achieve interoperability; DSN production of level 0 data; delivery of level 0 data from the Deep Space Communications Complex, if desired; dedicated telemetry processors for each receiver; security against unauthorized access and errors; and highly automated monitor and control.

  5. Nursing Home Checklist

    MedlinePlus

    Nursing home checklist Name of nursing home: ____________________________________________________ Address: ________________________________________________________________ Phone number: __________________________________________________________ Date of visit: _____________________________________________________________ Basic information Yes No Notes Is the nursing home Medicare certified? Is the nursing ...

  6. The Effect of Publicized Quality Information on Home Health Agency Choice.

    PubMed

    Jung, Jeah Kyoungrae; Wu, Bingxiao; Kim, Hyunjee; Polsky, Daniel

    2016-12-01

    We examine consumers' use of publicized quality information in Medicare home health care markets, where consumer cost sharing and travel costs are absent. We report two findings. First, agencies with high quality scores are more likely to be preferred by consumers after the introduction of a public reporting program than before. Second, consumers' use of publicized quality information differs by patient group. Community-based patients have slightly larger responses to public reporting than hospital-discharged patients. Patients with functional limitations at the start of their care, at least among hospital-discharged patients, have a larger response to the reported functional outcome measure than those without functional limitations. In all cases of significant marginal effects, magnitudes are small. We conclude that the current public reporting approach is unlikely to have critical impacts on home health agency choice. Identifying and releasing quality information that is meaningful to consumers may help increase consumers' use of public reports.

  7. Parsimonious modeling with information filtering networks

    NASA Astrophysics Data System (ADS)

    Barfuss, Wolfram; Massara, Guido Previde; Di Matteo, T.; Aste, Tomaso

    2016-12-01

    We introduce a methodology to construct parsimonious probabilistic models. This method makes use of information filtering networks to produce a robust estimate of the global sparse inverse covariance from a simple sum of local inverse covariances computed on small subparts of the network. Being based on local and low-dimensional inversions, this method is computationally very efficient and statistically robust, even for the estimation of inverse covariance of high-dimensional, noisy, and short time series. Applied to financial data our method results are computationally more efficient than state-of-the-art methodologies such as Glasso producing, in a fraction of the computation time, models that can have equivalent or better performances but with a sparser inference structure. We also discuss performances with sparse factor models where we notice that relative performances decrease with the number of factors. The local nature of this approach allows us to perform computations in parallel and provides a tool for dynamical adaptation by partial updating when the properties of some variables change without the need of recomputing the whole model. This makes this approach particularly suitable to handle big data sets with large numbers of variables. Examples of practical application for forecasting, stress testing, and risk allocation in financial systems are also provided.

  8. Nonlinear neural networks. II. Information processing

    NASA Astrophysics Data System (ADS)

    van Hemmen, J. L.; Grensing, D.; Huber, A.; Kühn, R.

    1988-01-01

    Information processing in nonlinear neural networks with a finite number q of stored patterns is studied. Each network is characterized completely by its synaptic kernel Q. At low temperatures, the nonlinearity typically results in 2q-2- q metastable, pure states in addition to the q retrieval states that are associated with the q stored patterns. These spurious states start appearing at a temperaturetilde T_q , which depends on q. We give sufficient conditions to guarantee that the retrieval states bifurcate first at a critical temperature T c and thattilde T_q / T c → 0 as q→∞. Hence, there is a large temperature range where only the retrieval states and certain symmetric mixtures thereof exist. The latter are unstable, as they appear at T c . For clipped synapses, the bifurcation and stability structure is analyzed in detail and shown to approach that of the (linear) Hopfield model as q→∞. We also investigate memories that forget and indicate how forgetfulness can be explained in terms of the eigenvalue spectrum of the synaptic kernel Q.

  9. Training Records And Information Network UNIX Version

    SciTech Connect

    Johnston, Michael

    1996-12-01

    TRAIN-UNIX is used to track training requirements, qualifications, training completion and schedule training, classrooms and instructors. TRAIN-UNIX is a requirements-based system. When the identified training requirements for specific jobs are entered into the system, the employees manager or responsible training person assigns jobs to an employee. TRAIN-UNIX will then assemble an Individual Training Plan (ITP) with all courses required. ITP''s can also be modified to add any special training directed or identified by management, best business practices, procedures, etc. TRAIN-UNIX also schedules and tracks conferences, seminars, and required reading. TRAIN-UNIX is a secure database system on a server accessible via the network. Access to the user functions (scheduling, data entry, ITP modification etc.) within TRAIN-UNIX are granted by function, as needed, by the system administrator. An additional level of security allows those who access TRAIN-UNIX to only add, modify or view information for the organizations to which they belong. TRAIN-UNIX scheduling function allows network access to scheduling of students. As a function of the scheduling process, TRAIN-UNIX checks to insure that the student is a valid employee, not double booked, and the instructor and classroom are not double booked. TRAIN-UNIX will report pending lapse of courses or qualifications. This ability to know the lapse of training along with built in training requesting function allows the training deliverers to forecast training needs.

  10. Bayesian information fusion networks for biosurveillance applications.

    PubMed

    Mnatsakanyan, Zaruhi R; Burkom, Howard S; Coberly, Jacqueline S; Lombardo, Joseph S

    2009-01-01

    This study introduces new information fusion algorithms to enhance disease surveillance systems with Bayesian decision support capabilities. A detection system was built and tested using chief complaints from emergency department visits, International Classification of Diseases Revision 9 (ICD-9) codes from records of outpatient visits to civilian and military facilities, and influenza surveillance data from health departments in the National Capital Region (NCR). Data anomalies were identified and distribution of time offsets between events in the multiple data streams were established. The Bayesian Network was built to fuse data from multiple sources and identify influenza-like epidemiologically relevant events. Results showed increased specificity compared with the alerts generated by temporal anomaly detection algorithms currently deployed by NCR health departments. Further research should be done to investigate correlations between data sources for efficient fusion of the collected data.

  11. Integrated condition monitoring of space information network

    NASA Astrophysics Data System (ADS)

    Wang, Zhilin; Li, Xinming; Li, Yachen; Yu, Shaolin

    2015-11-01

    In order to solve the integrated condition monitoring problem in space information network, there are three works finished including analyzing the characteristics of tasks process and system health monitoring, adopting the automata modeling method, and respectively establishing the models for state inference and state determination. The state inference model is a logic automaton and is gotten by concluding engineering experiences. The state determination model is a double-layer automaton, the lower automaton is responsible for parameter judge and the upper automaton is responsible for state diagnosis. At last, the system state monitoring algorithm has been proposed, which realizes the integrated condition monitoring for task process and system health, and can avoid the false alarm.

  12. Improving clustering by imposing network information

    PubMed Central

    Gerber, Susanne; Horenko, Illia

    2015-01-01

    Cluster analysis is one of the most popular data analysis tools in a wide range of applied disciplines. We propose and justify a computationally efficient and straightforward-to-implement way of imposing the available information from networks/graphs (a priori available in many application areas) on a broad family of clustering methods. The introduced approach is illustrated on the problem of a noninvasive unsupervised brain signal classification. This task is faced with several challenging difficulties such as nonstationary noisy signals and a small sample size, combined with a high-dimensional feature space and huge noise-to-signal ratios. Applying this approach results in an exact unsupervised classification of very short signals, opening new possibilities for clustering methods in the area of a noninvasive brain-computer interface. PMID:26601225

  13. Generic, network schema agnostic sparse tensor factorization for single-pass clustering of heterogeneous information networks.

    PubMed

    Wu, Jibing; Meng, Qinggang; Deng, Su; Huang, Hongbin; Wu, Yahui; Badii, Atta

    2017-01-01

    Heterogeneous information networks (e.g. bibliographic networks and social media networks) that consist of multiple interconnected objects are ubiquitous. Clustering analysis is an effective method to understand the semantic information and interpretable structure of the heterogeneous information networks, and it has attracted the attention of many researchers in recent years. However, most studies assume that heterogeneous information networks usually follow some simple schemas, such as bi-typed networks or star network schema, and they can only cluster one type of object in the network each time. In this paper, a novel clustering framework is proposed based on sparse tensor factorization for heterogeneous information networks, which can cluster multiple types of objects simultaneously in a single pass without any network schema information. The types of objects and the relations between them in the heterogeneous information networks are modeled as a sparse tensor. The clustering issue is modeled as an optimization problem, which is similar to the well-known Tucker decomposition. Then, an Alternating Least Squares (ALS) algorithm and a feasible initialization method are proposed to solve the optimization problem. Based on the tensor factorization, we simultaneously partition different types of objects into different clusters. The experimental results on both synthetic and real-world datasets have demonstrated that our proposed clustering framework, STFClus, can model heterogeneous information networks efficiently and can outperform state-of-the-art clustering algorithms as a generally applicable single-pass clustering method for heterogeneous network which is network schema agnostic.

  14. Generic, network schema agnostic sparse tensor factorization for single-pass clustering of heterogeneous information networks

    PubMed Central

    Meng, Qinggang; Deng, Su; Huang, Hongbin; Wu, Yahui; Badii, Atta

    2017-01-01

    Heterogeneous information networks (e.g. bibliographic networks and social media networks) that consist of multiple interconnected objects are ubiquitous. Clustering analysis is an effective method to understand the semantic information and interpretable structure of the heterogeneous information networks, and it has attracted the attention of many researchers in recent years. However, most studies assume that heterogeneous information networks usually follow some simple schemas, such as bi-typed networks or star network schema, and they can only cluster one type of object in the network each time. In this paper, a novel clustering framework is proposed based on sparse tensor factorization for heterogeneous information networks, which can cluster multiple types of objects simultaneously in a single pass without any network schema information. The types of objects and the relations between them in the heterogeneous information networks are modeled as a sparse tensor. The clustering issue is modeled as an optimization problem, which is similar to the well-known Tucker decomposition. Then, an Alternating Least Squares (ALS) algorithm and a feasible initialization method are proposed to solve the optimization problem. Based on the tensor factorization, we simultaneously partition different types of objects into different clusters. The experimental results on both synthetic and real-world datasets have demonstrated that our proposed clustering framework, STFClus, can model heterogeneous information networks efficiently and can outperform state-of-the-art clustering algorithms as a generally applicable single-pass clustering method for heterogeneous network which is network schema agnostic. PMID:28245222

  15. Quantum Information Processing with Modular Networks

    NASA Astrophysics Data System (ADS)

    Crocker, Clayton; Inlek, Ismail V.; Hucul, David; Sosnova, Ksenia; Vittorini, Grahame; Monroe, Chris

    2015-05-01

    Trapped atomic ions are qubit standards for the production of entangled states in quantum information science and metrology applications. Trapped ions can exhibit very long coherence times, external fields can drive strong local interactions via phonons, and remote qubits can be entangled via photons. Transferring quantum information across spatially separated ion trap modules for a scalable quantum network architecture relies on the juxtaposition of both phononic and photonic buses. We report the successful combination of these protocols within and between two ion trap modules on a unit structure of this architecture where the remote entanglement generation rate exceeds the experimentally measured decoherence rate. Additionally, we report an experimental implementation of a technique to maintain phase coherence between spatially and temporally distributed quantum gate operations, a crucial prerequisite for scalability. Finally, we discuss our progress towards addressing the issue of uncontrolled cross-talk between photonic qubits and memory qubits by implementing a second ion species, Barium, to generate the photonic link. This work is supported by the ARO with funding from the IARPA MQCO program, the DARPA Quiness Program, the ARO MURI on Hybrid Quantum Circuits, the AFOSR MURI on Quantum Transduction, and the NSF Physics Frontier Center at JQI.

  16. New scaling relation for information transfer in biological networks

    PubMed Central

    Kim, Hyunju; Davies, Paul; Walker, Sara Imari

    2015-01-01

    We quantify characteristics of the informational architecture of two representative biological networks: the Boolean network model for the cell-cycle regulatory network of the fission yeast Schizosaccharomyces pombe (Davidich et al. 2008 PLoS ONE 3, e1672 (doi:10.1371/journal.pone.0001672)) and that of the budding yeast Saccharomyces cerevisiae (Li et al. 2004 Proc. Natl Acad. Sci. USA 101, 4781–4786 (doi:10.1073/pnas.0305937101)). We compare our results for these biological networks with the same analysis performed on ensembles of two different types of random networks: Erdös–Rényi and scale-free. We show that both biological networks share features in common that are not shared by either random network ensemble. In particular, the biological networks in our study process more information than the random networks on average. Both biological networks also exhibit a scaling relation in information transferred between nodes that distinguishes them from random, where the biological networks stand out as distinct even when compared with random networks that share important topological properties, such as degree distribution, with the biological network. We show that the most biologically distinct regime of this scaling relation is associated with a subset of control nodes that regulate the dynamics and function of each respective biological network. Information processing in biological networks is therefore interpreted as an emergent property of topology (causal structure) and dynamics (function). Our results demonstrate quantitatively how the informational architecture of biologically evolved networks can distinguish them from other classes of network architecture that do not share the same informational properties. PMID:26701883

  17. Analysis and improvement of vehicle information sharing networks

    NASA Astrophysics Data System (ADS)

    Gong, Hang; He, Kun; Qu, Yingchun; Wang, Pu

    2016-06-01

    Based on large-scale mobile phone data, mobility demand was estimated and locations of vehicles were inferred in the Boston area. Using the spatial distribution of vehicles, we analyze the vehicle information sharing network generated by the vehicle-to-vehicle (V2V) communications. Although a giant vehicle cluster is observed, the coverage and the efficiency of the information sharing network remain limited. Consequently, we propose a method to extend the information sharing network's coverage by adding long-range connections between targeted vehicle clusters. Furthermore, we employ the optimal design strategy discovered in square lattice to improve the efficiency of the vehicle information sharing network.

  18. Organizational Application of Social Networking Information Technologies

    ERIC Educational Resources Information Center

    Reppert, Jeffrey R.

    2012-01-01

    The focus of this qualitative research study using the Delphi method is to provide a framework for leaders to develop their own social networks. By exploring concerns in four areas, leaders may be able to better plan, implement, and manage social networking systems in organizations. The areas addressed are: (a) social networking using…

  19. Community readiness for a computer-based health information network.

    PubMed

    Ervin, Naomi E; Berry, Michelle M

    2006-01-01

    The need for timely and accurate communication among healthcare providers has prompted the development of computer-based health information networks that allow patient and client information to be shared among agencies. This article reports the findings of a study to assess whether residents of an upstate New York community were ready for a computer-based health information network to facilitate delivery of long term care services. Focus group sessions, which involved both consumers and professionals, revealed that security of personal information was of concern to healthcare providers, attorneys, and consumers. Physicians were the most enthusiastic about the possibility of a computer-based health information network. Consumers and other healthcare professionals, including nurses, indicated that such a network would be helpful to them personally. Nurses and other healthcare professionals need to be knowledgeable about the use of computer-based health information networks and other electronic information systems as this trend continues to spread across the U.S.

  20. Family Involvement in School-Based Health Promotion: Bringing Nutrition Information Home.

    PubMed

    Blom-Hoffman, Jessica; Wilcox, Kaila R; Dunn, Liam; Leff, Stephen S; Power, Thomas J

    2008-12-01

    Family-school collaboration related to children's physical development has become increasingly important as childhood obesity rates continue to rise. The present study described the development and implementation of a literacy-based, family component of a school-based health education program and investigated its viability, acceptability, and effectiveness. Interactive children's books were the mechanism by which students, parents, and teachers received consistent messages at home and school regarding nutrition information. The home-school intervention served to bridge home and school cultures in an urban population. Preliminary process evaluation results indicated that the interactive children's books were feasible to implement in the school context. Parents, children, and teachers had positive perceptions of the books. Parents who received the books demonstrated increased knowledge of 5 a Day, the primary nutrition message communicated in the program. Although not statistically significant, after the first and second years of intervention, parents in the experimental group reported that their children were eating 0.54 and 0.36 additional servings of fruit and vegetables per day compared with children in the control group. The program did not seem to impact the availability and accessibility of fruits and vegetables at home.

  1. Inferring Boolean network states from partial information

    PubMed Central

    2013-01-01

    Networks of molecular interactions regulate key processes in living cells. Therefore, understanding their functionality is a high priority in advancing biological knowledge. Boolean networks are often used to describe cellular networks mathematically and are fitted to experimental datasets. The fitting often results in ambiguities since the interpretation of the measurements is not straightforward and since the data contain noise. In order to facilitate a more reliable mapping between datasets and Boolean networks, we develop an algorithm that infers network trajectories from a dataset distorted by noise. We analyze our algorithm theoretically and demonstrate its accuracy using simulation and microarray expression data. PMID:24006954

  2. Maintaining the Elderly in Their Own Homes: The Role of Helping Networks. Extension Studies 90.

    ERIC Educational Resources Information Center

    Goodfellow, Marianne

    Data collected in 1981 from rural Pennsylvania were used to examine use of informal family and friendship networks and formal services as these relate to independent living among the elderly. Policymakers have tended to shift the burden of care from formal social services to informal helpers based mainly on studies of urban elderly. To show that…

  3. Information diversity in structure and dynamics of simulated neuronal networks.

    PubMed

    Mäki-Marttunen, Tuomo; Aćimović, Jugoslava; Nykter, Matti; Kesseli, Juha; Ruohonen, Keijo; Yli-Harja, Olli; Linne, Marja-Leena

    2011-01-01

    Neuronal networks exhibit a wide diversity of structures, which contributes to the diversity of the dynamics therein. The presented work applies an information theoretic framework to simultaneously analyze structure and dynamics in neuronal networks. Information diversity within the structure and dynamics of a neuronal network is studied using the normalized compression distance. To describe the structure, a scheme for generating distance-dependent networks with identical in-degree distribution but variable strength of dependence on distance is presented. The resulting network structure classes possess differing path length and clustering coefficient distributions. In parallel, comparable realistic neuronal networks are generated with NETMORPH simulator and similar analysis is done on them. To describe the dynamics, network spike trains are simulated using different network structures and their bursting behaviors are analyzed. For the simulation of the network activity the Izhikevich model of spiking neurons is used together with the Tsodyks model of dynamical synapses. We show that the structure of the simulated neuronal networks affects the spontaneous bursting activity when measured with bursting frequency and a set of intraburst measures: the more locally connected networks produce more and longer bursts than the more random networks. The information diversity of the structure of a network is greatest in the most locally connected networks, smallest in random networks, and somewhere in between in the networks between order and disorder. As for the dynamics, the most locally connected networks and some of the in-between networks produce the most complex intraburst spike trains. The same result also holds for sparser of the two considered network densities in the case of full spike trains.

  4. Influence Function Learning in Information Diffusion Networks

    PubMed Central

    Du, Nan; Liang, Yingyu; Balcan, Maria-Florina; Song, Le

    2015-01-01

    Can we learn the influence of a set of people in a social network from cascades of information diffusion? This question is often addressed by a two-stage approach: first learn a diffusion model, and then calculate the influence based on the learned model. Thus, the success of this approach relies heavily on the correctness of the diffusion model which is hard to verify for real world data. In this paper, we exploit the insight that the influence functions in many diffusion models are coverage functions, and propose a novel parameterization of such functions using a convex combination of random basis functions. Moreover, we propose an efficient maximum likelihood based algorithm to learn such functions directly from cascade data, and hence bypass the need to specify a particular diffusion model in advance. We provide both theoretical and empirical analysis for our approach, showing that the proposed approach can provably learn the influence function with low sample complexity, be robust to the unknown diffusion models, and significantly outperform existing approaches in both synthetic and real world data. PMID:25973445

  5. Information dynamics in small-world Boolean networks.

    PubMed

    Lizier, Joseph T; Pritam, Siddharth; Prokopenko, Mikhail

    2011-01-01

    Small-world networks have been one of the most influential concepts in complex systems science, partly due to their prevalence in naturally occurring networks. It is often suggested that this prevalence is due to an inherent capability to store and transfer information efficiently. We perform an ensemble investigation of the computational capabilities of small-world networks as compared to ordered and random topologies. To generate dynamic behavior for this experiment, we imbue the nodes in these networks with random Boolean functions. We find that the ordered phase of the dynamics (low activity in dynamics) and topologies with low randomness are dominated by information storage, while the chaotic phase (high activity in dynamics) and topologies with high randomness are dominated by information transfer. Information storage and information transfer are somewhat balanced (crossed over) near the small-world regime, providing quantitative evidence that small-world networks do indeed have a propensity to combine comparably large information storage and transfer capacity.

  6. Home Hemodialysis

    MedlinePlus

    ... list clinics that offer home hemodialysis training. Treatment Costs Most health plans pay for home hemodialysis training ... treat. When prepared, this content included the most current information available. For updates or for questions about ...

  7. Reactivity Network: Secondary Sources for Inorganic Reactivity Information.

    ERIC Educational Resources Information Center

    Mellon, E. K.

    1989-01-01

    Provides an eclectic annotated bibliography of secondary sources for inorganic reactivity information of interest to reactivity network review authors and to anyone seeking information about simple inorganic reactions in order to develop experiments and demonstrations. Gives 119 sources. (MVL)

  8. Discovery of Information Diffusion Process in Social Networks

    NASA Astrophysics Data System (ADS)

    Kim, Kwanho; Jung, Jae-Yoon; Park, Jonghun

    Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.

  9. Optimal multi-community network modularity for information diffusion

    NASA Astrophysics Data System (ADS)

    Wu, Jiaocan; Du, Ruping; Zheng, Yingying; Liu, Dong

    2016-02-01

    Studies demonstrate that community structure plays an important role in information spreading recently. In this paper, we investigate the impact of multi-community structure on information diffusion with linear threshold model. We utilize extended GN network that contains four communities and analyze dynamic behaviors of information that spreads on it. And we discover the optimal multi-community network modularity for information diffusion based on the social reinforcement. Results show that, within the appropriate range, multi-community structure will facilitate information diffusion instead of hindering it, which accords with the results derived from two-community network.

  10. Extracting spatial information from networks with low-order eigenvectors

    NASA Astrophysics Data System (ADS)

    Cucuringu, Mihai; Blondel, Vincent D.; Van Dooren, Paul

    2013-03-01

    We consider the problem of inferring meaningful spatial information in networks from incomplete information on the connection intensity between the nodes of the network. We consider two spatially distributed networks: a population migration flow network within the US, and a network of mobile phone calls between cities in Belgium. For both networks we use the eigenvectors of the Laplacian matrix constructed from the link intensities to obtain informative visualizations and capture natural geographical subdivisions. We observe that some low-order eigenvectors localize very well and seem to reveal small geographically cohesive regions that match remarkably well with political and administrative boundaries. We discuss possible explanations for this observation by describing diffusion maps and localized eigenfunctions. In addition, we discuss a possible connection with the weighted graph cut problem, and provide numerical evidence supporting the idea that lower-order eigenvectors point out local cuts in the network. However, we do not provide a formal and rigorous justification for our observations.

  11. Information transmission in genetic regulatory networks: a review

    NASA Astrophysics Data System (ADS)

    Tkačik, Gašper; Walczak, Aleksandra M.

    2011-04-01

    Genetic regulatory networks enable cells to respond to changes in internal and external conditions by dynamically coordinating their gene expression profiles. Our ability to make quantitative measurements in these biochemical circuits has deepened our understanding of what kinds of computations genetic regulatory networks can perform, and with what reliability. These advances have motivated researchers to look for connections between the architecture and function of genetic regulatory networks. Transmitting information between a network's inputs and outputs has been proposed as one such possible measure of function, relevant in certain biological contexts. Here we summarize recent developments in the application of information theory to gene regulatory networks. We first review basic concepts in information theory necessary for understanding recent work. We then discuss the functional complexity of gene regulation, which arises from the molecular nature of the regulatory interactions. We end by reviewing some experiments that support the view that genetic networks responsible for early development of multicellular organisms might be maximizing transmitted 'positional information'.

  12. The Generality of Interview-Informed Functional Analyses: Systematic Replications in School and Home.

    PubMed

    Santiago, Joana L; Hanley, Gregory P; Moore, Keira; Jin, C Sandy

    2016-03-01

    Behavioral interventions preceded by a functional analysis have been proven efficacious in treating severe problem behavior associated with autism. There is, however, a lack of research showing socially validated outcomes when assessment and treatment procedures are conducted by ecologically relevant individuals in typical settings. In this study, interview-informed functional analyses and skill-based treatments (Hanley et al. in J Appl Behav Anal 47:16-36, 2014) were applied by a teacher and home-based provider in the classroom and home of two children with autism. The function-based treatments resulted in socially validated reductions in severe problem behavior (self-injury, aggression, property destruction). Furthermore, skills lacking in baseline-functional communication, denial and delay tolerance, and compliance with adult instructions-occurred with regularity following intervention. The generality and costs of the process are discussed.

  13. Information Needs in the Precision Medicine Era: How Genetics Home Reference Can Help.

    PubMed

    Collins, Heather; Calvo, Sherri; Greenberg, Kathleen; Forman Neall, Lisa; Morrison, Stephanie

    2016-04-27

    Precision medicine focuses on understanding individual variability in disease prevention, care, and treatment. The Precision Medicine Initiative, launched by President Obama in early 2015, aims to bring this approach to all areas of health care. However, few consumer-friendly resources exist for the public to learn about precision medicine and the conditions that could be affected by this approach to care. Genetics Home Reference, a website from the US National Library of Medicine, seeks to support precision medicine education by providing the public with summaries of genetic conditions and their associated genes, as well as information about issues related to precision medicine such as disease risk and pharmacogenomics. With the advance of precision medicine, consumer-focused resources like Genetics Home Reference can be foundational in providing context for public understanding of the increasing amount of data that will become available.

  14. Information Needs in the Precision Medicine Era: How Genetics Home Reference Can Help

    PubMed Central

    Calvo, Sherri; Greenberg, Kathleen; Forman Neall, Lisa; Morrison, Stephanie

    2016-01-01

    Precision medicine focuses on understanding individual variability in disease prevention, care, and treatment. The Precision Medicine Initiative, launched by President Obama in early 2015, aims to bring this approach to all areas of health care. However, few consumer-friendly resources exist for the public to learn about precision medicine and the conditions that could be affected by this approach to care. Genetics Home Reference, a website from the US National Library of Medicine, seeks to support precision medicine education by providing the public with summaries of genetic conditions and their associated genes, as well as information about issues related to precision medicine such as disease risk and pharmacogenomics. With the advance of precision medicine, consumer-focused resources like Genetics Home Reference can be foundational in providing context for public understanding of the increasing amount of data that will become available. PMID:27122232

  15. Evaluation of A Novel Information-Sharing Instrument for Home-Based Palliative Care

    PubMed Central

    Sawada, Koichiro; Shimada, Masanari; Kadoya, Shinichi; Endo, Naoki; Ishiguro, Kaname; Takashima, Rumi; Amemiya, Yoko; Fujikawa, Yasunaga; Ikezaki, Tomoaki; Takeuchi, Miyako; Kitazawa, Hidenori; Iida, Hiroyuki; Koseki, Shiro; Morita, Tatsuya; Sasaki, Koji; Kashii, Tatsuhiko; Murakami, Nozomu

    2015-01-01

    Aim: To examine the feasibility and usefulness of a novel region-based pathway: the Regional Referral Clinical Pathway for Home-Based Palliative Care. Method: This was a feasibility study to evaluate the frequency of variances and the perceived usefulness of pathway using in-depth interviews. All patients with cancer referred to the palliative care team between 2011 and 2013 and received home care services were enrolled. Result: A total of 44 patients were analyzed, and pathway was completed in all the patients. The target outcome was achieved in 61.4% while some variances occurred in 54.5%. Nine categories were identified as the usefulness of the pathway, such as reviewing and sharing information and promoting communication, education, motivation, and relationships. Conclusion: This novel pathway is feasible and seems to be useful. PMID:24814723

  16. Blending Formal and Informal Learning Networks for Online Learning

    ERIC Educational Resources Information Center

    Czerkawski, Betül C.

    2016-01-01

    With the emergence of social software and the advance of web-based technologies, online learning networks provide invaluable opportunities for learning, whether formal or informal. Unlike top-down, instructor-centered, and carefully planned formal learning settings, informal learning networks offer more bottom-up, student-centered participatory…

  17. 78 FR 7797 - Homeland Security Information Network Advisory Committee (HSINAC)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-04

    ... SECURITY Homeland Security Information Network Advisory Committee (HSINAC) AGENCY: OPS/OCIO, DHS. ACTION: Committee Management; Notice of Federal Advisory Committee Meeting. SUMMARY: The Homeland Security Information Network Advisory Committee (HSIN AC) will meet on February 27th-28th, 2013 in Washington, DC....

  18. Weather information network including graphical display

    NASA Technical Reports Server (NTRS)

    Leger, Daniel R. (Inventor); Burdon, David (Inventor); Son, Robert S. (Inventor); Martin, Kevin D. (Inventor); Harrison, John (Inventor); Hughes, Keith R. (Inventor)

    2006-01-01

    An apparatus for providing weather information onboard an aircraft includes a processor unit and a graphical user interface. The processor unit processes weather information after it is received onboard the aircraft from a ground-based source, and the graphical user interface provides a graphical presentation of the weather information to a user onboard the aircraft. Preferably, the graphical user interface includes one or more user-selectable options for graphically displaying at least one of convection information, turbulence information, icing information, weather satellite information, SIGMET information, significant weather prognosis information, and winds aloft information.

  19. Information Diffusion in Facebook-Like Social Networks Under Information Overload

    NASA Astrophysics Data System (ADS)

    Li, Pei; Xing, Kai; Wang, Dapeng; Zhang, Xin; Wang, Hui

    2013-07-01

    Research on social networks has received remarkable attention, since many people use social networks to broadcast information and stay connected with their friends. However, due to the information overload in social networks, it becomes increasingly difficult for users to find useful information. This paper takes Facebook-like social networks into account, and models the process of information diffusion under information overload. The term view scope is introduced to model the user information-processing capability under information overload, and the average number of times a message appears in view scopes after it is generated is proposed to characterize the information diffusion efficiency. Through theoretical analysis, we find that factors such as network structure and view scope number have no impact on the information diffusion efficiency, which is a surprising result. To verify the results, we conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly.

  20. Hodge Decomposition of Information Flow on Small-World Networks

    PubMed Central

    Haruna, Taichi; Fujiki, Yuuya

    2016-01-01

    We investigate the influence of the small-world topology on the composition of information flow on networks. By appealing to the combinatorial Hodge theory, we decompose information flow generated by random threshold networks on the Watts-Strogatz model into three components: gradient, harmonic and curl flows. The harmonic and curl flows represent globally circular and locally circular components, respectively. The Watts-Strogatz model bridges the two extreme network topologies, a lattice network and a random network, by a single parameter that is the probability of random rewiring. The small-world topology is realized within a certain range between them. By numerical simulation we found that as networks become more random the ratio of harmonic flow to the total magnitude of information flow increases whereas the ratio of curl flow decreases. Furthermore, both quantities are significantly enhanced from the level when only network structure is considered for the network close to a random network and a lattice network, respectively. Finally, the sum of these two ratios takes its maximum value within the small-world region. These findings suggest that the dynamical information counterpart of global integration and that of local segregation are the harmonic flow and the curl flow, respectively, and that a part of the small-world region is dominated by internal circulation of information flow. PMID:27733817

  1. Hodge Decomposition of Information Flow on Small-World Networks.

    PubMed

    Haruna, Taichi; Fujiki, Yuuya

    2016-01-01

    We investigate the influence of the small-world topology on the composition of information flow on networks. By appealing to the combinatorial Hodge theory, we decompose information flow generated by random threshold networks on the Watts-Strogatz model into three components: gradient, harmonic and curl flows. The harmonic and curl flows represent globally circular and locally circular components, respectively. The Watts-Strogatz model bridges the two extreme network topologies, a lattice network and a random network, by a single parameter that is the probability of random rewiring. The small-world topology is realized within a certain range between them. By numerical simulation we found that as networks become more random the ratio of harmonic flow to the total magnitude of information flow increases whereas the ratio of curl flow decreases. Furthermore, both quantities are significantly enhanced from the level when only network structure is considered for the network close to a random network and a lattice network, respectively. Finally, the sum of these two ratios takes its maximum value within the small-world region. These findings suggest that the dynamical information counterpart of global integration and that of local segregation are the harmonic flow and the curl flow, respectively, and that a part of the small-world region is dominated by internal circulation of information flow.

  2. The Impact of Electronic Health Records on Risk Management of Information Systems in Australian Residential Aged Care Homes.

    PubMed

    Jiang, Tao; Yu, Ping; Hailey, David; Ma, Jun; Yang, Jie

    2016-09-01

    To obtain indications of the influence of electronic health records (EHR) in managing risks and meeting information system accreditation standard in Australian residential aged care (RAC) homes. The hypothesis to be tested is that the RAC homes using EHR have better performance in meeting information system standards in aged care accreditation than their counterparts only using paper records for information management. Content analysis of aged care accreditation reports from the Aged Care Standards and Accreditation Agency produced between April 2011 and December 2013. Items identified included types of information systems, compliance with accreditation standards, and indicators of failure to meet an expected outcome for information systems. The Chi-square test was used to identify difference between the RAC homes that used EHR systems and those that used paper records in not meeting aged care accreditation standards. 1,031 (37.4%) of 2,754 RAC homes had adopted EHR systems. Although the proportion of homes that met all accreditation standards was significantly higher for those with EHR than for homes with paper records, only 13 RAC homes did not meet one or more expected outcomes. 12 used paper records and nine of these failed the expected outcome for information systems. The overall contribution of EHR to meeting aged care accreditation standard in Australia was very small. Risk indicators for not meeting information system standard were no access to accurate and appropriate information, failure in monitoring mechanisms, not reporting clinical incidents, insufficient recording of residents' clinical changes, not providing accurate care plans, and communication processes failure. The study has provided indications that use of EHR provides small, yet significant advantages for RAC homes in Australia in managing risks for information management and in meeting accreditation requirements. The implication of the study for introducing technology innovation in RAC in

  3. Knowledge Communities and Information Network Policies.

    ERIC Educational Resources Information Center

    Young, Peter R.

    The growing convergence of research library functions with a knowledge network infrastructure is beginning to have a transforming influence on the conduct of university research and instruction. Computing and communication network technologies are forcing a re-examination of institutional missions, the policies that support knowledge transmission,…

  4. Distribution of Information in Ad Hoc Networks

    DTIC Science & Technology

    2007-09-01

    INTENTIONALLY LEFT BLANK v ABSTRACT Ad-hoc networks are distributed, self-organized networks which do not need a fixed infrastructure. Entities in...73 V . CONCLUSIONS AND FUTURE WORK ............................75 A. OVERVIEW ..........................................75 B. CONCLUSIONS...statistical analysis on the results. Finally, Chapter V concludes the research and provides suggestions for further research. 7 II. BACKGROUND A

  5. The Elderly and Their Informal Social Networks.

    ERIC Educational Resources Information Center

    Thompson, J. Victor

    1989-01-01

    A sample of 334 people aged 56 and older living in British Columbia were interviewed about their supportive social network. Four supportive roles were investigated: caretaker, helper, confident, and advisor. The research supports earlier findings about the vulnerability of widows over 74 years old. They are most in need of networks. (Author/JOW)

  6. Information Flow Between Resting-State Networks

    PubMed Central

    Diez, Ibai; Erramuzpe, Asier; Escudero, Iñaki; Mateos, Beatriz; Cabrera, Alberto; Marinazzo, Daniele; Sanz-Arigita, Ernesto J.; Stramaglia, Sebastiano

    2015-01-01

    Abstract The resting brain dynamics self-organize into a finite number of correlated patterns known as resting-state networks (RSNs). It is well known that techniques such as independent component analysis can separate the brain activity at rest to provide such RSNs, but the specific pattern of interaction between RSNs is not yet fully understood. To this aim, we propose here a novel method to compute the information flow (IF) between different RSNs from resting-state magnetic resonance imaging. After hemodynamic response function blind deconvolution of all voxel signals, and under the hypothesis that RSNs define regions of interest, our method first uses principal component analysis to reduce dimensionality in each RSN to next compute IF (estimated here in terms of transfer entropy) between the different RSNs by systematically increasing k (the number of principal components used in the calculation). When k=1, this method is equivalent to computing IF using the average of all voxel activities in each RSN. For k≥1, our method calculates the k multivariate IF between the different RSNs. We find that the average IF among RSNs is dimension dependent, increasing from k=1 (i.e., the average voxel activity) up to a maximum occurring at k=5 and to finally decay to zero for k≥10. This suggests that a small number of components (close to five) is sufficient to describe the IF pattern between RSNs. Our method—addressing differences in IF between RSNs for any generic data—can be used for group comparison in health or disease. To illustrate this, we have calculated the inter-RSN IF in a data set of Alzheimer's disease (AD) to find that the most significant differences between AD and controls occurred for k=2, in addition to AD showing increased IF w.r.t. controls. The spatial localization of the k=2 component, within RSNs, allows the characterization of IF differences between AD and controls. PMID:26177254

  7. Network selection, Information filtering and Scalable computation

    NASA Astrophysics Data System (ADS)

    Ye, Changqing

    This dissertation explores two application scenarios of sparsity pursuit method on large scale data sets. The first scenario is classification and regression in analyzing high dimensional structured data, where predictors corresponds to nodes of a given directed graph. This arises in, for instance, identification of disease genes for the Parkinson's diseases from a network of candidate genes. In such a situation, directed graph describes dependencies among the genes, where direction of edges represent certain causal effects. Key to high-dimensional structured classification and regression is how to utilize dependencies among predictors as specified by directions of the graph. In this dissertation, we develop a novel method that fully takes into account such dependencies formulated through certain nonlinear constraints. We apply the proposed method to two applications, feature selection in large margin binary classification and in linear regression. We implement the proposed method through difference convex programming for the cost function and constraints. Finally, theoretical and numerical analyses suggest that the proposed method achieves the desired objectives. An application to disease gene identification is presented. The second application scenario is personalized information filtering which extracts the information specifically relevant to a user, predicting his/her preference over a large number of items, based on the opinions of users who think alike or its content. This problem is cast into the framework of regression and classification, where we introduce novel partial latent models to integrate additional user-specific and content-specific predictors, for higher predictive accuracy. In particular, we factorize a user-over-item preference matrix into a product of two matrices, each representing a user's preference and an item preference by users. Then we propose a likelihood method to seek a sparsest latent factorization, from a class of over

  8. Information Processing in Social Insect Networks

    PubMed Central

    Waters, James S.; Fewell, Jennifer H.

    2012-01-01

    Investigating local-scale interactions within a network makes it possible to test hypotheses about the mechanisms of global network connectivity and to ask whether there are general rules underlying network function across systems. Here we use motif analysis to determine whether the interactions within social insect colonies resemble the patterns exhibited by other animal associations or if they exhibit characteristics of biological regulatory systems. Colonies exhibit a predominance of feed-forward interaction motifs, in contrast to the densely interconnected clique patterns that characterize human interaction and animal social networks. The regulatory motif signature supports the hypothesis that social insect colonies are shaped by selection for network patterns that integrate colony functionality at the group rather than individual level, and demonstrates the utility of this approach for analysis of selection effects on complex systems across biological levels of organization. PMID:22815740

  9. A proposed concept for a crustal dynamics information management network

    NASA Technical Reports Server (NTRS)

    Lohman, G. M.; Renfrow, J. T.

    1980-01-01

    The findings of a requirements and feasibility analysis of the present and potential producers, users, and repositories of space-derived geodetic information are summarized. A proposed concept is presented for a crustal dynamics information management network that would apply state of the art concepts of information management technology to meet the expanding needs of the producers, users, and archivists of this geodetic information.

  10. Breakdown in informational continuity of care during hospitalization of older home-living patients: a case study

    PubMed Central

    Olsen, Rose Mari; Hellzén, Ove; Skotnes, Liv Heidi; Enmarker, Ingela

    2014-01-01

    Introduction The successful transfer of an older patient between health care organizations requires open communication between them that details relevant and necessary information about the patient's health status and individual needs. The objective of this study was to identify and describe the process and content of the patient information exchange between nurses in home care and hospital during hospitalization of older home-living patients. Methods A multiple case study design was used. Using observations, qualitative interviews and document reviews, the total patient information exchange during each patient's episode of hospitalization (n = 9), from day of admission to return home, was captured. Results Information exchange mainly occurred at discharge, including a discharge note sent from hospital to home care, and telephone reports from hospital nurse to home care nurse, and meetings between hospital nurse and patient coordinator from the municipal purchaser unit. No information was provided from the home care nurses to the hospital nurses at admission. Incompleteness in the content of both written and verbal information was found. Information regarding physical care was more frequently reported than other caring dimensions. Descriptions of the patients’ subjective experiences were almost absent and occurred only in the verbal communication. Conclusions The gap in the information flow, as well as incompleteness in the content of written and verbal information exchanged, constitutes a challenge to the continuity of care for hospitalized home-living patients. In order to ensure appropriate nursing follow-up care, we emphasize the need for nurses to improve the information flow, as well as to use a more comprehensive approach to older patients, and that this must be reflected in the verbal and written information exchange. PMID:24868195

  11. A novel approach to characterize information radiation in complex networks

    NASA Astrophysics Data System (ADS)

    Wang, Xiaoyang; Wang, Ying; Zhu, Lin; Li, Chao

    2016-06-01

    The traditional research of information dissemination is mostly based on the virus spreading model that the information is being spread by probability, which does not match very well to the reality, because the information that we receive is always more or less than what was sent. In order to quantitatively describe variations in the amount of information during the spreading process, this article proposes a safety information radiation model on the basis of communication theory, combining with relevant theories of complex networks. This model comprehensively considers the various influence factors when safety information radiates in the network, and introduces some concepts from the communication theory perspective, such as the radiation gain function, receiving gain function, information retaining capacity and information second reception capacity, to describe the safety information radiation process between nodes and dynamically investigate the states of network nodes. On a micro level, this article analyzes the influence of various initial conditions and parameters on safety information radiation through the new model simulation. The simulation reveals that this novel approach can reflect the variation of safety information quantity of each node in the complex network, and the scale-free network has better "radiation explosive power", while the small-world network has better "radiation staying power". The results also show that it is efficient to improve the overall performance of network security by selecting nodes with high degrees as the information source, refining and simplifying the information, increasing the information second reception capacity and decreasing the noises. In a word, this article lays the foundation for further research on the interactions of information and energy between internal components within complex systems.

  12. Individual Differences in Information Processing in Networked Decision Making

    DTIC Science & Technology

    2015-03-31

    frequently face the problem of information overload . The amount of information available for a decision is often much larger than a person can process to make...team performance and can lead to information overload if it is coupled with high information push activity. Similarly, heuristic decisions as a...today’s networks, individuals frequently face the problem of information overload : the amount of information available for a decision far ex- ceeds the

  13. On information flow in relay networks

    NASA Astrophysics Data System (ADS)

    El Gamal, A.

    Preliminary investigations conducted by El Gamal and Cover (1980) have shown that a max-flow min-cut interpretation for the capacity expressions of the classes of degraded and semideterministic relay channels can be found. In this paper it is shown that such an interpretation can also be found for fairly general classes of discrete memoryless relay networks. Cover and El Gamal (1979) have obtained general lower and upper bounds to capacity. However, the capacity of the general relay channel is not known. Past results are here extended to establish the capacity of deterministic relay networks with no interference and degraded relay networks. A general upper bound is given to the capacity of any relay network with this upper bound being a natural generalization of Theorem 4 in the study conducted by Cover and El Gamal (1979).

  14. Complex Dynamics in Information Sharing Networks

    NASA Astrophysics Data System (ADS)

    Cronin, Bruce

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

  15. Information Dynamics as Foundation for Network Management

    DTIC Science & Technology

    2014-12-04

    networks. Dozens of research breakthroughs have been made, ranging from geometry and topology to signal processing and communication protocol , from...breakthroughs have been made, ranging from geometry and topology to signal processing and communication protocol , from network optimization to systems...software simulator running higher-layer protocols on a PC host, configurable RF front- ends (RouterStation Pro from Ubiquiti), and digital switch. We

  16. WiSPH: A Wireless Sensor Network-Based Home Care Monitoring System

    PubMed Central

    Magaña-Espinoza, Pedro; Aquino-Santos, Raúl; Cárdenas-Benítez, Néstor; Aguilar-Velasco, José; Buenrostro-Segura, César; Edwards-Block, Arthur; Medina-Cass, Aldo

    2014-01-01

    This paper presents a system based on WSN technology capable of monitoring heart rate and the rate of motion of seniors within their homes. The system is capable of remotely alerting specialists, caretakers or family members via a smartphone of rapid physiological changes due to falls, tachycardia or bradycardia. This work was carried out using our workgroup's WiSe platform, which we previously developed for use in WSNs. The proposed WSN architecture is flexible, allowing for greater scalability to better allow event-based monitoring. The architecture also provides security mechanisms to assure that the monitored and/or stored data can only be accessed by authorized individuals or devices. The aforementioned characteristics provide the network versatility and solidity required for use in health applications. PMID:24759112

  17. Affinity based information diffusion model in social networks

    NASA Astrophysics Data System (ADS)

    Liu, Hongli; Xie, Yun; Hu, Haibo; Chen, Zhigao

    2014-12-01

    There is a widespread intuitive sense that people prefer participating in spreading the information in which they are interested. The affinity of people with information disseminated can affect the information propagation in social networks. In this paper, we propose an information diffusion model incorporating the mechanism of affinity of people with information which considers the fitness of affinity values of people with affinity threshold of the information. We find that the final size of information diffusion is affected by affinity threshold of the information, average degree of the network and the probability of people's losing their interest in the information. We also explore the effects of other factors on information spreading by numerical simulations and find that the probabilities of people's questioning and confirming the information can affect the propagation speed, but not the final scope.

  18. A Vision-Based System for Object Identification and Information Retrieval in a Smart Home

    NASA Astrophysics Data System (ADS)

    Grech, Raphael; Monekosso, Dorothy; de Jager, Deon; Remagnino, Paolo

    This paper describes a hand held device developed to assist people to locate and retrieve information about objects in a home. The system developed is a standalone device to assist persons with memory impairments such as people suffering from Alzheimer's disease. A second application is object detection and localization for a mobile robot operating in an ambient assisted living environment. The device relies on computer vision techniques to locate a tagged object situated in the environment. The tag is a 2D color printed pattern with a detection range and a field of view such that the user may point from a distance of over 1 meter.

  19. Multilevel and Hybrid Architecture for Device Abstraction and Context Information Management in Smart Home Environments

    NASA Astrophysics Data System (ADS)

    Peláez, Víctor; González, Roberto; San Martín, Luis Ángel; Campos, Antonio; Lobato, Vanesa

    Hardware device management, and context information acquisition and abstraction are key factors to develop the ambient intelligent paradigm in smart homes. This work presents an architecture that addresses these two problems and provides a usable framework to develop applications easily. In contrast to other proposals, this work addresses performance issues specifically. Results show that the execution performance of the developed prototype is suitable for deployment in a real environment. In addition, the modular design of the system allows the user to develop applications using different techniques and different levels of abstraction.

  20. Mutual information in a dilute, asymmetric neural network model

    NASA Astrophysics Data System (ADS)

    Greenfield, Elliot

    We study the computational properties of a neural network consisting of binary neurons with dilute asymmetric synaptic connections. This simple model allows us to simulate large networks which can reflect more of the architecture and dynamics of real neural networks. Our main goal is to determine the dynamical behavior that maximizes the network's ability to perform computations. To this end, we apply information theory, measuring the average mutual information between pairs of pre- and post-synaptic neurons. Communication of information between neurons is an essential requirement for collective computation. Previous workers have demonstrated that neural networks with asymmetric connections undergo a transition from ordered to chaotic behavior as certain network parameters, such as the connectivity, are changed. We find that the average mutual information has a peak near the order-chaos transition, implying that the network can most efficiently communicate information between cells in this region. The mutual information peak becomes increasingly pronounced when the basic model is extended to incorporate more biologically realistic features, such as a variable threshold and nonlinear summation of inputs. We find that the peak in mutual information near the phase transition is a robust feature of the system for a wide range of assumptions about post-synaptic integration.

  1. Processing information system for highly specialized information in corporate networks

    NASA Astrophysics Data System (ADS)

    Petrosyan, M. O.; Kovalev, I. V.; Zelenkov, P. V.; Brezitskaya, VV; Prohorovich, G. A.

    2016-11-01

    The new structure for formation system and management system for highly specialized information in corporate systems is offered. The main distinguishing feature of this structure is that it involves the processing of multilingual information in a single user request.

  2. An experimental health smart home and its distributed internet-based information and communication system: first steps of a research project.

    PubMed

    Rialle, V; Noury, N; Hervé, T

    2001-01-01

    We present a study and whole experimental tele-monitoring and medical tele-surveillance system for maintaining patients at home. The project features networked sensors, in a fully equipped apartment, operated by an advanced information and communication system based on Internet, Java, and object oriented modeling. The sensors are connected, mainly wirelessly, with a in-home software module devoted to signals analysis and detection of critical situation such as falls, sickness, sudden palsy, stroke, hypothermia, etc. This module communicates, either via modem or ethernet network, with a remote medical control station in charge of appropriate response to received information and alarms. The system is designed to be a powerful information and communication tools for medical and social workers. It offers a series of functions such as medical file management, user profiles and rights management, drafting and management of ordinances and visit notes, confidentiality of medical information, and management of scenarios of detectable events. The access to the system is allowed to authorized users only (physicians, emergentists, social workers, etc.), and is available on as much authorized computers as needed, by means of a Java applet invoked from any traditional web browsers.

  3. Relations among Neighborhood Social Networks, Home Literacy Environments, and Children's Expressive Vocabulary in Suburban At-Risk Families

    ERIC Educational Resources Information Center

    Froiland, John Mark; Powell, Douglas R.; Diamond, Karen E.

    2014-01-01

    In response to increasing research and policy interest in the neighborhood context of early school success, this study examined relations among neighborhood social networks, home literacy practices/resources, and children's expressive vocabulary in a suburban at-risk sample in the USA at the beginning of the school year. In a Structural Equation…

  4. Mining Heterogeneous Social Networks for Egocentric Information Abstraction

    NASA Astrophysics Data System (ADS)

    Li, Cheng-Te; Lin, Shou-De

    Social network is a powerful data structure that allows the depiction of relationship information between entities. However, real-world social networks are sometimes too complex for human to pursue further analysis. In this work, an unsupervised mechanism is proposed for egocentric information abstraction in heterogeneous social networks. To achieve this goal, we propose a vector space representation for heterogeneous social networks to identify combination of relations as features and compute statistical dependencies as feature values. These features, either linear or eyelie, intend to capture the semantic information in the surrounding environment of the ego. Then we design three abstraction measures to distill representative and important information to construct the abstracted graphs for visual presentation. The evaluations conducted on a real world movie datasct and an artificial crime dataset demonstrate that the abstractions can indeed retain significant information and facilitate more accurate and efficient human analysis.

  5. Energy efficient cooperation in underlay RFID cognitive networks for a water smart home.

    PubMed

    Nasir, Adnan; Hussain, Syed Imtiaz; Soong, Boon-Hee; Qaraqe, Khalid

    2014-09-30

    Shrinking water resources all over the world and increasing costs of water consumption have prompted water users and distribution companies to come up with water conserving strategies. We have proposed an energy-efficient smart water monitoring application in [1], using low power RFIDs. In the home environment, there exist many primary interferences within a room, such as cell-phones, Bluetooth devices, TV signals, cordless phones and WiFi devices. In order to reduce the interference from our proposed RFID network for these primary devices, we have proposed a cooperating underlay RFID cognitive network for our smart application on water. These underlay RFIDs should strictly adhere to the interference thresholds to work in parallel with the primary wireless devices [2]. This work is an extension of our previous ventures proposed in [2,3], and we enhanced the previous efforts by introducing a new system model and RFIDs. Our proposed scheme is mutually energy efficient and maximizes the signal-to-noise ratio (SNR) for the RFID link, while keeping the interference levels for the primary network below a certain threshold. A closed form expression for the probability density function (pdf) of the SNR at the destination reader/writer and outage probability are derived. Analytical results are verified through simulations. It is also shown that in comparison to non-cognitive selective cooperation, this scheme performs better in the low SNR region for cognitive networks. Moreover, the hidden Markov model's (HMM) multi-level variant hierarchical hidden Markov model (HHMM) approach is used for pattern recognition and event detection for the data received for this system [4]. Using this model, a feedback and decision algorithm is also developed. This approach has been applied to simulated water pressure data from RFID motes, which were embedded in metallic water pipes.

  6. Information transduction capacity of noisy biochemical signaling networks

    PubMed Central

    Cheong, Raymond; Rhee, Alex; Wang, Chiaochun Joanne; Nemenman, Ilya; Levchenko, Andre

    2014-01-01

    Molecular noise restricts the ability of an individual cell to resolve input signals of different strengths and gather information about the external environment. Transmitting information through complex signaling networks with redundancies can overcome this limitation. We developed an integrative theoretical and experimental framework, based on the formalism of information theory, to quantitatively predict and measure the amount of information transduced by molecular and cellular networks. Analyzing tumor necrosis factor (TNF) signaling revealed that individual TNF signaling pathways transduce information sufficient for accurate binary decisions, and an upstream bottleneck limits the information gained via multiple pathways together. Negative feedback to this bottleneck could both alleviate and enhance its limiting effect, despite decreasing noise. Bottlenecks likewise constrain information attained by networks signaling through multiple genes or cells. PMID:21921160

  7. Medical libraries, bioinformatics, and networked information: a coming convergence?

    PubMed Central

    Lynch, C

    1999-01-01

    Libraries will be changed by technological and social developments that are fueled by information technology, bioinformatics, and networked information. Libraries in highly focused settings such as the health sciences are at a pivotal point in their development as the synthesis of historically diverse and independent information sources transforms health care institutions. Boundaries are breaking down between published literature and research data, between research databases and clinical patient data, and between consumer health information and professional literature. This paper focuses on the dynamics that are occurring with networked information sources and the roles that libraries will need to play in the world of medical informatics in the early twenty-first century. PMID:10550026

  8. Vulnerability Assessment Tools for Complex Information Networks

    DTIC Science & Technology

    2007-11-02

    Takehiro Takahashi No Cliff Zou No Yong Huang No Jie Sun No Sheng Xiao No Yan Cai No Songlin Cai No Hanping Feng No Jonathan Lee No X.C. Lin No Jinghua Hu...Transactions on Modeling and Simulation, 2004. 31. Yongguang Zhang, Wenke Lee, and Yi-an Huang , “Intrusion Detection Techniques for Mobile Wireless Networks...Energy-Efficient Wireless Networks with Real-Time Constraints", Proc. of 45th IEEE Conf. Decision and Control, pp. 2997-3002, Dec. 2006. 29. Y. Huang , W

  9. Grower Communication Networks: Information Sources for Organic Farmers

    ERIC Educational Resources Information Center

    Crawford, Chelsi; Grossman, Julie; Warren, Sarah T.; Cubbage, Fred

    2015-01-01

    This article reports on a study to determine which information sources organic growers use to inform farming practices by conducting in-depth semi-structured interviews with 23 organic farmers across 17 North Carolina counties. Effective information sources included: networking, agricultural organizations, universities, conferences, Extension, Web…

  10. Information Systems and Networks for Technology Transfer. Final Report.

    ERIC Educational Resources Information Center

    Page, John; Szentivanyi, Tibor

    Results of a survey of the information resources available in industrialized countries which might be used in a United Nations technology transfer program for developing countries are presented. Information systems and networks, organized information collections of a scientific and technical character, and the machinery used to disseminate this…

  11. Finding Quasi-Optimal Network Topologies for Information Transmission in Active Networks

    PubMed Central

    Baptista, Murilo S.; de Carvalho, Josué X.; Hussein, Mahir S.

    2008-01-01

    This work clarifies the relation between network circuit (topology) and behaviour (information transmission and synchronization) in active networks, e.g. neural networks. As an application, we show how one can find network topologies that are able to transmit a large amount of information, possess a large number of communication channels, and are robust under large variations of the network coupling configuration. This theoretical approach is general and does not depend on the particular dynamic of the elements forming the network, since the network topology can be determined by finding a Laplacian matrix (the matrix that describes the connections and the coupling strengths among the elements) whose eigenvalues satisfy some special conditions. To illustrate our ideas and theoretical approaches, we use neural networks of electrically connected chaotic Hindmarsh-Rose neurons. PMID:18941516

  12. Advanced information processing system: Input/output network management software

    NASA Technical Reports Server (NTRS)

    Nagle, Gail; Alger, Linda; Kemp, Alexander

    1988-01-01

    The purpose of this document is to provide the software requirements and specifications for the Input/Output Network Management Services for the Advanced Information Processing System. This introduction and overview section is provided to briefly outline the overall architecture and software requirements of the AIPS system before discussing the details of the design requirements and specifications of the AIPS I/O Network Management software. A brief overview of the AIPS architecture followed by a more detailed description of the network architecture.

  13. Oral health related quality of life in pregnant and post partum women in two social network domains; predominantly home-based and work-based networks

    PubMed Central

    2012-01-01

    Background Individuals connected to supportive social networks have better general and oral health quality of life. The objective of this study was to assess whether there were differences in oral health related quality of life (OHRQoL) between women connected to either predominantly home-based and work-based social networks. Methods A follow-up prevalence study was conducted on 1403 pregnant and post-partum women (mean age of 25.2 ± 6.3 years) living in two cities in the State of Rio de Janeiro, Brazil. Women were participants in an established cohort followed from pregnancy (baseline) to post-partum period (follow-up). All participants were allocated to two groups; 1. work-based social network group - employed women with paid work, and, 2. home-based social network group - women with no paid work, housewives or unemployed women. Measures of social support and social network were used as well as questions on sociodemographic characteristics and OHRQoL and health related behaviors. Multinomial logistic regression was performed to obtain OR of relationships between occupational contexts, affectionate support and positive social interaction on the one hand, and oral health quality of life, using the Oral Health Impacts Profile (OHIP) measure, adjusted for age, ethnicity, family income, schooling, marital status and social class. Results There was a modifying effect of positive social interaction on the odds of occupational context on OHRQoL. The odds of having a poorer OHIP score, ≥4, was significantly higher for women with home-based social networks and moderate levels of positive social interactions [OR 1.64 (95% CI: 1.08-2.48)], and for women with home-based social networks and low levels of positive social interactions [OR 2.15 (95% CI: 1.40-3.30)] compared with women with work-based social networks and high levels of positive social interactions. Black ethnicity was associated with OHIP scores ≥4 [OR 1.73 (95% CI: 1.23-2.42)]. Conclusions Pregnant and post

  14. Improving gene regulatory network inference using network topology information.

    PubMed

    Nair, Ajay; Chetty, Madhu; Wangikar, Pramod P

    2015-09-01

    Inferring the gene regulatory network (GRN) structure from data is an important problem in computational biology. However, it is a computationally complex problem and approximate methods such as heuristic search techniques, restriction of the maximum-number-of-parents (maxP) for a gene, or an optimal search under special conditions are required. The limitations of a heuristic search are well known but literature on the detailed analysis of the widely used maxP technique is lacking. The optimal search methods require large computational time. We report the theoretical analysis and experimental results of the strengths and limitations of the maxP technique. Further, using an optimal search method, we combine the strengths of the maxP technique and the known GRN topology to propose two novel algorithms. These algorithms are implemented in a Bayesian network framework and tested on biological, realistic, and in silico networks of different sizes and topologies. They overcome the limitations of the maxP technique and show superior computational speed when compared to the current optimal search algorithms.

  15. Tensegrity II. How structural networks influence cellular information processing networks

    NASA Technical Reports Server (NTRS)

    Ingber, Donald E.

    2003-01-01

    The major challenge in biology today is biocomplexity: the need to explain how cell and tissue behaviors emerge from collective interactions within complex molecular networks. Part I of this two-part article, described a mechanical model of cell structure based on tensegrity architecture that explains how the mechanical behavior of the cell emerges from physical interactions among the different molecular filament systems that form the cytoskeleton. Recent work shows that the cytoskeleton also orients much of the cell's metabolic and signal transduction machinery and that mechanical distortion of cells and the cytoskeleton through cell surface integrin receptors can profoundly affect cell behavior. In particular, gradual variations in this single physical control parameter (cell shape distortion) can switch cells between distinct gene programs (e.g. growth, differentiation and apoptosis), and this process can be viewed as a biological phase transition. Part II of this article covers how combined use of tensegrity and solid-state mechanochemistry by cells may mediate mechanotransduction and facilitate integration of chemical and physical signals that are responsible for control of cell behavior. In addition, it examines how cell structural networks affect gene and protein signaling networks to produce characteristic phenotypes and cell fate transitions during tissue development.

  16. Are Social Networking Websites Educational? Information Capsule. Volume 0909

    ERIC Educational Resources Information Center

    Blazer, Christie

    2009-01-01

    More and more school districts across the country are joining social networking sites, such as Facebook and MySpace. This Information Capsule discusses the frequency with which school districts are using social networking sites, how districts are using the sites, and potential drawbacks associated with their use. Issues for districts to consider…

  17. Emerging Communities: Integrating Networked Information into Library Services (Book Review).

    ERIC Educational Resources Information Center

    Afifi, Marianne

    1995-01-01

    Reviews this collection of papers, edited by Ann P. Bishop, which present the current state of networking as it relates to libraries and the community. Recommends the book as a compendium of lessons, learned and to be learned, as networked information becomes an integral and necessary part of the library world. (JMV)

  18. The Network Information Management System (NIMS) in the Deep Space Network

    NASA Technical Reports Server (NTRS)

    Wales, K. J.

    1983-01-01

    In an effort to better manage enormous amounts of administrative, engineering, and management data that is distributed worldwide, a study was conducted which identified the need for a network support system. The Network Information Management System (NIMS) will provide the Deep Space Network with the tools to provide an easily accessible source of valid information to support management activities and provide a more cost-effective method of acquiring, maintaining, and retrieval data.

  19. Developing Visualization Techniques for Semantics-based Information Networks

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.; Hall, David R.

    2003-01-01

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

  20. Home Energy Score

    SciTech Connect

    2011-12-16

    The Home Energy Score allows a homeowner to compare her or his home's energy consumption to that of other homes, similar to a vehicle's mile-per-gallon rating. A home energy assessor will collect energy information during a brief home walk-through and then score that home on a scale of 1 to 10.

  1. Evaluating the Impact of Information Technology Tools to Support the Asthma Medical Home.

    PubMed

    Matiz, L Adriana; Robbins-Milne, Laura; Krause, M Christine; Peretz, Patricia J; Rausch, John C

    2016-02-01

    This study aimed to evaluate the impact of information technology tools on the outcomes of children with asthma in the medical home. A registry was established for children aged 4 to 18 years with an ICD-9 code for asthma. Changes to the electronic health record included modifications to notes, care plans, and orders. A retrospective analysis of emergency department and in-patient utilization for a cohort of patients was conducted from July 2009 through June 2013. Of the study population (n = 1217), 65% had a classification of asthma severity and 63% were risk-stratified. Seventy percent had a control assessment at least once. Care plan use increased from 5% to 22% and enrollment in care coordination increased from 0.1% to 4%. After 3 years, there was a reduction of emergency department and inpatient admissions for asthma (P < .05 and P < .005, respectively). The implementation of information technology tools was associated with improved asthma outcomes.

  2. Architectural Design for the Global Legal Information Network

    NASA Technical Reports Server (NTRS)

    Kalpakis, Konstantinos

    1999-01-01

    In this report, we provide a summary of our activities regarding the goals, requirements analysis, design, and prototype implementation for the Global Legal Information Network, a joint effort between the Law Library of Congress and NASA.

  3. Tufts academic health information network: concept and scenario.

    PubMed

    Stearns, N S

    1986-04-01

    Tufts University School of Medicine's new health sciences education building, the Arthur M. Sackler Center for Health Communications, will house a modern medical library and computer center, classrooms, auditoria, and media facilities. The building will also serve as the center for an information and communication network linking the medical school and adjacent New England Medical Center, Tufts' primary teaching hospital, with Tufts Associated Teaching Hospitals throughout New England. Ultimately, the Tufts network will join other gateway networks, information resource facilities, health care institutions, and medical schools throughout the world. The center and the network are intended to facilitate and improve the education of health professionals, the delivery of health care to patients, the conduct of research, and the implementation of administrative management approaches that should provide more efficient utilization of resources and save dollars. A model and scenario show how health care delivery and health care education are integrated through better use of information transfer technologies by health information specialists, practitioners, and educators.

  4. Information jet: Handling noisy big data from weakly disconnected network

    NASA Astrophysics Data System (ADS)

    Aurongzeb, Deeder

    Sudden aggregation (information jet) of large amount of data is ubiquitous around connected social networks, driven by sudden interacting and non-interacting events, network security threat attacks, online sales channel etc. Clustering of information jet based on time series analysis and graph theory is not new but little work is done to connect them with particle jet statistics. We show pre-clustering based on context can element soft network or network of information which is critical to minimize time to calculate results from noisy big data. We show difference between, stochastic gradient boosting and time series-graph clustering. For disconnected higher dimensional information jet, we use Kallenberg representation theorem (Kallenberg, 2005, arXiv:1401.1137) to identify and eliminate jet similarities from dense or sparse graph.

  5. A Holistic Approach to Networked Information Systems Design and Analysis

    DTIC Science & Technology

    2016-04-15

    Supply in Systems with Solar Panels and Storage”, Industrial & Systems Engineering Research Conference, Nashville, TN. (Presenter: Gautam), 2015 P4...AFRL-AFOSR-VA-TR-2016-0159 A Holistic Approach to Networked Information Systems Design and Analysis P.R. Kumar TEXAS ENGINEERING EXPERIMENT STATION...necessary if the abstract is to be limited. DISTRIBUTION A: Distribution approved for public release A Holistic Approach to Networked Information Systems

  6. Networks, Netwar, and Information-Age Terrorism

    DTIC Science & Technology

    1999-01-01

    ball” (named for Buckminster Fuller ); it does not resemble a pyramid. The design is flat. Ideally, there is no single, central leadership, com- mand...Arquilla and Ronfeldt (1996) and Ronfeldt, Arquilla, Fuller , and Fuller (forthcoming). Also see Arquilla and Ronfeldt (1997). Networks, Netwar, and...Comment on the Zapatista ‘Netwar’,” in Arquilla and Ronfeldt (1997), pp. 369–391. Ronfeldt, David, John Arquilla, Graham Fuller , and Melissa Fuller , The

  7. Recent Developments in Quantitative Graph Theory: Information Inequalities for Networks

    PubMed Central

    Dehmer, Matthias; Sivakumar, Lavanya

    2012-01-01

    In this article, we tackle a challenging problem in quantitative graph theory. We establish relations between graph entropy measures representing the structural information content of networks. In particular, we prove formal relations between quantitative network measures based on Shannon's entropy to study the relatedness of those measures. In order to establish such information inequalities for graphs, we focus on graph entropy measures based on information functionals. To prove such relations, we use known graph classes whose instances have been proven useful in various scientific areas. Our results extend the foregoing work on information inequalities for graphs. PMID:22355362

  8. Recent developments in quantitative graph theory: information inequalities for networks.

    PubMed

    Dehmer, Matthias; Sivakumar, Lavanya

    2012-01-01

    In this article, we tackle a challenging problem in quantitative graph theory. We establish relations between graph entropy measures representing the structural information content of networks. In particular, we prove formal relations between quantitative network measures based on Shannon's entropy to study the relatedness of those measures. In order to establish such information inequalities for graphs, we focus on graph entropy measures based on information functionals. To prove such relations, we use known graph classes whose instances have been proven useful in various scientific areas. Our results extend the foregoing work on information inequalities for graphs.

  9. MINDS - Medical Information Network Decision Support System

    DTIC Science & Technology

    2008-06-01

    Information Technology, Department of Health and Human Services, 2005 7. The Lewin Group, Inc., “Health Information Technology Leadership Panel: Final...University of Chicago Kurt Rossman Laboratories for Radiologic Image Research (www- radiology.uchicago.edu/krl/) 8. University of Michigan Department

  10. Information Product Quality in Network Centric Operations

    DTIC Science & Technology

    2005-05-01

    sense) is laid out in Lee and Baskerville [7], consistent with Yin [8]. Figure 16 shows Yin’s conceptualization applied to the NCOCF case study...Information science,” Journal of the American Society for Information Science, 50(12), 1051 – 1063. [11] Lee, A.S., and R.L. Baskerville . 2003

  11. Coordinated Economic Development and the Information Network.

    ERIC Educational Resources Information Center

    Easton, D. K.

    This is a discussion of some of the problems that the Advisory Organization for Gulf Industries (AOGI) will face when it undertakes (1) to organize both an information center (node) that will serve the information needs of the Gulf States of Iraq, Kuwait, Bahrain, Saudi Arabia, Qatar, the United Arab Emirates (UAE) and Oman; and (2) to compile an…

  12. Semantic overlay network for large-scale spatial information indexing

    NASA Astrophysics Data System (ADS)

    Zou, Zhiqiang; Wang, Yue; Cao, Kai; Qu, Tianshan; Wang, Zhongmin

    2013-08-01

    The increased demand for online services of spatial information poses new challenges to the combined filed of Computer Science and Geographic Information Science. Amongst others, these include fast indexing of spatial data in distributed networks. In this paper we propose a novel semantic overlay network for large-scale multi-dimensional spatial information indexing, called SON_LSII, which has a hybrid structure integrating a semantic quad-tree and Chord ring. The SON_LSII is a small world overlay network that achieves a very competitive trade-off between indexing efficiency and maintenance overhead. To create SON_LSII, we use an effective semantic clustering strategy that considers two aspects, i.e., the semantic of spatial information that peer holds in overlay network and physical network performances. Based on SON_LSII, a mapping method is used to reduce the multi-dimensional features into a single dimension and an efficient indexing algorithm is presented to support complex range queries of the spatial information with a massive number of concurrent users. The results from extensive experiments demonstrate that SON_LSII is superior to existing overlay networks in various respects, including scalability, maintenance, rate of indexing hits, indexing logical hops, and adaptability. Thus, the proposed SON_LSII can be used for large-scale spatial information indexing.

  13. Information routing driven by background chatter in a signaling network.

    PubMed

    Domedel-Puig, Núria; Rué, Pau; Pons, Antonio J; García-Ojalvo, Jordi

    2011-12-01

    Living systems are capable of processing multiple sources of information simultaneously. This is true even at the cellular level, where not only coexisting signals stimulate the cell, but also the presence of fluctuating conditions is significant. When information is received by a cell signaling network via one specific input, the existence of other stimuli can provide a background activity -or chatter- that may affect signal transmission through the network and, therefore, the response of the cell. Here we study the modulation of information processing by chatter in the signaling network of a human cell, specifically, in a Boolean model of the signal transduction network of a fibroblast. We observe that the level of external chatter shapes the response of the system to information carrying signals in a nontrivial manner, modulates the activity levels of the network outputs, and effectively determines the paths of information flow. Our results show that the interactions and node dynamics, far from being random, confer versatility to the signaling network and allow transitions between different information-processing scenarios.

  14. "Willing but unwilling": attitudinal barriers to adoption of home-based health information technology among older adults.

    PubMed

    Young, Rachel; Willis, Erin; Cameron, Glen; Geana, Mugur

    2014-06-01

    While much research focuses on adoption of electronic health-care records and other information technology among health-care providers, less research explores patient attitudes. This qualitative study examines barriers to adoption of home-based health information technology, particularly personal electronic health records, among older adults. We conducted in-depth interviews (30-90 min duration) with 35 American adults, aged 46-72 years, to determine their perceptions of and attitudes toward home-based health information technology. Analysis of interview data revealed that most barriers to adoption fell under four themes: technological discomfort, privacy or security concerns, lack of relative advantage, and perceived distance from the user representation. Based on our findings, systems to promote home-based health information technology should incorporate familiar computer applications, alleviate privacy and security concerns, and align with older adults' active and engaged self-image.

  15. Wireless network system based multi-non-invasive sensors for smart home

    NASA Astrophysics Data System (ADS)

    Issa Ahmed, Rudhwan

    There are several techniques that have been implemented for smart homes usage; however, most of these techniques are limited to a few sensors. Many of these methods neither meet the needs of the user nor are cost-effective. This thesis discusses the design, development, and implementation of a wireless network system, based on multi-non-invasive sensors for smart home environments. This system has the potential to be used as a means to accurately, and remotely, determine the activities of daily living by continuously monitoring relatively simple parameters that measure the interaction between users and their surrounding environment. We designed and developed a prototype system to meet the specific needs of the elderly population. Unlike audio-video based health monitoring systems (which have associated problems such as the encroachment of privacy), the developed system's distinct features ensure privacy and are almost invisible to the occupants, thus increasing the acceptance levels of this system in household environments. The developed system not only achieved high levels of accuracy, but it is also portable, easy to use, cost-effective, and requires low data rates and less power compared to other wireless devices such as Wi-Fi, Bluetooth, wireless USB, Ultra wideband (UWB), or Infrared (IR) wireless. Field testing of the prototype system was conducted at different locations inside and outside of the Minto Building (Centre for Advanced Studies in Engineering at Carleton University) as well as other locations, such as the washroom, kitchen, and living room of a prototype apartment. The main goal of the testing was to determine the range of the prototype system and the functionality of each sensor in different environments. After it was verified that the system operated well in all of the tested environments, data were then collected at the different locations for analysis and interpretation in order to identify the activities of daily living of an occupant.

  16. Sailor: Maryland's Online Public Information Network. Sailor Network Assessment Final Report: Findings and Future Sailor Network Development.

    ERIC Educational Resources Information Center

    Bertot, John Carlo; McClure, Charles R.

    This report describes the results of an assessment of Sailor, Maryland's Online Public Information Network, which provides statewide Internet connection to 100% of Maryland public libraries. The concept of a "statewide networked environment" includes information services, products, hardware and software, telecommunications…

  17. Imperishable Networks: Complexity Theory and Communication Networking-Bridging the Gap Between Algorithmic Information Theory and Communication Networking

    DTIC Science & Technology

    2003-04-01

    Science, volume 888, 1995, ISSN 0302-9743. [127] Giancoli , Douglas C. General Physics , Prentice Hall, INC, Englewood Cliffs, NJ. [128]Harmon, S. “A...59 3.4 Vulnerability Metrics with physical analogs...theoretical physics for information flow analysis on network and for extraction of patterns of typical network behav- ior. The information traffic can

  18. The analysis of network transmission method for welding robot information

    NASA Astrophysics Data System (ADS)

    Cheng, Weide; Zhang, Hua; Liu, Donghua; Wang, Hongbo

    2011-12-01

    On the asis of User Datagram Protocol (UserDatagram Protocol, UDP), to do some improvement and design a welding robot network communication protocol (welding robot network communicate protocol: WRNCP), working on the fields of the transport layer and application layer of TCP / IP protocol. According to the characteristics of video data, to design the radio push-type (Broadcast Push Model, BPM) transmission method, improving the efficiency and stability of video transmission.and to designed the network information transmission system, used for real-time control of welding robot network.

  19. The analysis of network transmission method for welding robot information

    NASA Astrophysics Data System (ADS)

    Cheng, Weide; Zhang, Hua; Liu, Donghua; Wang, Hongbo

    2012-01-01

    On the asis of User Datagram Protocol (UserDatagram Protocol, UDP), to do some improvement and design a welding robot network communication protocol (welding robot network communicate protocol: WRNCP), working on the fields of the transport layer and application layer of TCP / IP protocol. According to the characteristics of video data, to design the radio push-type (Broadcast Push Model, BPM) transmission method, improving the efficiency and stability of video transmission.and to designed the network information transmission system, used for real-time control of welding robot network.

  20. Network algorithms for information analysis using the Titan Toolkit.

    SciTech Connect

    McLendon, William Clarence, III; Baumes, Jeffrey; Wilson, Andrew T.; Wylie, Brian Neil; Shead, Timothy M.

    2010-07-01

    The analysis of networked activities is dramatically more challenging than many traditional kinds of analysis. A network is defined by a set of entities (people, organizations, banks, computers, etc.) linked by various types of relationships. These entities and relationships are often uninteresting alone, and only become significant in aggregate. The analysis and visualization of these networks is one of the driving factors behind the creation of the Titan Toolkit. Given the broad set of problem domains and the wide ranging databases in use by the information analysis community, the Titan Toolkit's flexible, component based pipeline provides an excellent platform for constructing specific combinations of network algorithms and visualizations.

  1. 75 FR 44800 - Notice of Meeting of the Homeland Security Information Network Advisory Committee, Tuesday...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-29

    ... SECURITY Notice of Meeting of the Homeland Security Information Network Advisory Committee, Tuesday, August... meeting. SUMMARY: The Homeland Security Information Network Advisory Committee (HSINAC) will meet from... Homeland Security Information Network Advisory Committee is to identify issues and provide to...

  2. 78 FR 71631 - Committee Name: Homeland Security Information Network Advisory Committee (HSINAC)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-29

    ... SECURITY Committee Name: Homeland Security Information Network Advisory Committee (HSINAC) AGENCY... Management; Notice of Federal Advisory Committee Meeting. SUMMARY: The Homeland Security Information Network... Homeland Security Information Network Advisory Committee (HSINAC) is an advisory body to the...

  3. Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?

    PubMed Central

    Antonopoulos, Chris G.; Srivastava, Shambhavi; Pinto, Sandro E. de S.; Baptista, Murilo S.

    2015-01-01

    We propose a working hypothesis supported by numerical simulations that brain networks evolve based on the principle of the maximization of their internal information flow capacity. We find that synchronous behavior and capacity of information flow of the evolved networks reproduce well the same behaviors observed in the brain dynamical networks of Caenorhabditis elegans and humans, networks of Hindmarsh-Rose neurons with graphs given by these brain networks. We make a strong case to verify our hypothesis by showing that the neural networks with the closest graph distance to the brain networks of Caenorhabditis elegans and humans are the Hindmarsh-Rose neural networks evolved with coupling strengths that maximize information flow capacity. Surprisingly, we find that global neural synchronization levels decrease during brain evolution, reflecting on an underlying global no Hebbian-like evolution process, which is driven by no Hebbian-like learning behaviors for some of the clusters during evolution, and Hebbian-like learning rules for clusters where neurons increase their synchronization. PMID:26317592

  4. Phase transitions for information diffusion in random clustered networks

    NASA Astrophysics Data System (ADS)

    Lim, Sungsu; Shin, Joongbo; Kwak, Namju; Jung, Kyomin

    2016-09-01

    We study the conditions for the phase transitions of information diffusion in complex networks. Using the random clustered network model, a generalisation of the Chung-Lu random network model incorporating clustering, we examine the effect of clustering under the Susceptible-Infected-Recovered (SIR) epidemic diffusion model with heterogeneous contact rates. For this purpose, we exploit the branching process to analyse information diffusion in random unclustered networks with arbitrary contact rates, and provide novel iterative algorithms for estimating the conditions and sizes of global cascades, respectively. Showing that a random clustered network can be mapped into a factor graph, which is a locally tree-like structure, we successfully extend our analysis to random clustered networks with heterogeneous contact rates. We then identify the conditions for phase transitions of information diffusion using our method. Interestingly, for various contact rates, we prove that random clustered networks with higher clustering coefficients have strictly lower phase transition points for any given degree sequence. Finally, we confirm our analytical results with numerical simulations of both synthetically-generated and real-world networks.

  5. Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?

    PubMed

    Antonopoulos, Chris G; Srivastava, Shambhavi; Pinto, Sandro E de S; Baptista, Murilo S

    2015-08-01

    We propose a working hypothesis supported by numerical simulations that brain networks evolve based on the principle of the maximization of their internal information flow capacity. We find that synchronous behavior and capacity of information flow of the evolved networks reproduce well the same behaviors observed in the brain dynamical networks of Caenorhabditis elegans and humans, networks of Hindmarsh-Rose neurons with graphs given by these brain networks. We make a strong case to verify our hypothesis by showing that the neural networks with the closest graph distance to the brain networks of Caenorhabditis elegans and humans are the Hindmarsh-Rose neural networks evolved with coupling strengths that maximize information flow capacity. Surprisingly, we find that global neural synchronization levels decrease during brain evolution, reflecting on an underlying global no Hebbian-like evolution process, which is driven by no Hebbian-like learning behaviors for some of the clusters during evolution, and Hebbian-like learning rules for clusters where neurons increase their synchronization.

  6. Information exchange and the robustness of organizational networks

    PubMed Central

    Dodds, Peter Sheridan; Watts, Duncan J.; Sabel, Charles F.

    2003-01-01

    The dynamics of information exchange is an important but understudied aspect of collective communication, coordination, and problem solving in a wide range of distributed systems, both physical (e.g., the Internet) and social (e.g., business firms). In this paper, we introduce a model of organizational networks according to which links are added incrementally to a hierarchical backbone and test the resulting networks under variable conditions of information exchange. Our main result is the identification of a class of multiscale networks that reduce, over a wide range of environments, the likelihood that individual nodes will suffer congestion-related failure and that the network as a whole will disintegrate when failures do occur. We call this dual robustness property of multiscale networks “ultrarobustness.” Furthermore, we find that multiscale networks attain most of their robustness with surprisingly few link additions, suggesting that ultrarobust organizational networks can be generated in an efficient and scalable manner. Our results are directly relevant to the relief of congestion in communication networks and also more broadly to activities, like distributed problem solving, that require individuals to exchange information in an unpredictable manner. PMID:14528009

  7. Reconstruction of transcriptional network from microarray data using combined mutual information and network-assisted regression.

    PubMed

    Wang, X-D; Qi, Y-X; Jiang, Z-L

    2011-03-01

    Many methods had been developed on inferring transcriptional network from gene expression. However, it is still necessary to design new method that discloses more detailed and exact network information. Using network-assisted regression, the authors combined the averaged three-way mutual information (AMI3) and non-linear ordinary differential equation (ODE) model to infer the transcriptional network, and to obtain both the topological structure and the regulatory dynamics. Synthetic and experimental data were used to evaluate the performance of the above approach. In comparison with the previous methods based on mutual information, AMI3 obtained higher precision with the same sensitivity. To describe the regulatory dynamics between transcription factors and target genes, network-assisted regression and regression without network, respectively, were applied in the steady-state and time series microarray data. The results revealed that comparing with regression without network, network-assisted regression increased the precision, but decreased the fitting goodness. Then, the authors reconstructed the transcriptional network of Escherichia coli and simulated the regulatory dynamics of genes. Furthermore, the authors' approach identified potential transcription factors regulating yeast cell cycle. In conclusion, network-assisted regression, combined AMI3 and ODE model, was a more precisely to infer the topological structure and the regulatory dynamics of transcriptional network from microarray data. [Includes supplementary material].

  8. Social networks predict selective observation and information spread in ravens

    PubMed Central

    Rubenstein, Daniel I.; Bugnyar, Thomas; Hoppitt, William; Mikus, Nace; Schwab, Christine

    2016-01-01

    Animals are predicted to selectively observe and learn from the conspecifics with whom they share social connections. Yet, hardly anything is known about the role of different connections in observation and learning. To address the relationships between social connections, observation and learning, we investigated transmission of information in two raven (Corvus corax) groups. First, we quantified social connections in each group by constructing networks on affiliative interactions, aggressive interactions and proximity. We then seeded novel information by training one group member on a novel task and allowing others to observe. In each group, an observation network based on who observed whose task-solving behaviour was strongly correlated with networks based on affiliative interactions and proximity. Ravens with high social centrality (strength, eigenvector, information centrality) in the affiliative interaction network were also central in the observation network, possibly as a result of solving the task sooner. Network-based diffusion analysis revealed that the order that ravens first solved the task was best predicted by connections in the affiliative interaction network in a group of subadult ravens, and by social rank and kinship (which influenced affiliative interactions) in a group of juvenile ravens. Our results demonstrate that not all social connections are equally effective at predicting the patterns of selective observation and information transmission. PMID:27493780

  9. Social networks predict selective observation and information spread in ravens.

    PubMed

    Kulahci, Ipek G; Rubenstein, Daniel I; Bugnyar, Thomas; Hoppitt, William; Mikus, Nace; Schwab, Christine

    2016-07-01

    Animals are predicted to selectively observe and learn from the conspecifics with whom they share social connections. Yet, hardly anything is known about the role of different connections in observation and learning. To address the relationships between social connections, observation and learning, we investigated transmission of information in two raven (Corvus corax) groups. First, we quantified social connections in each group by constructing networks on affiliative interactions, aggressive interactions and proximity. We then seeded novel information by training one group member on a novel task and allowing others to observe. In each group, an observation network based on who observed whose task-solving behaviour was strongly correlated with networks based on affiliative interactions and proximity. Ravens with high social centrality (strength, eigenvector, information centrality) in the affiliative interaction network were also central in the observation network, possibly as a result of solving the task sooner. Network-based diffusion analysis revealed that the order that ravens first solved the task was best predicted by connections in the affiliative interaction network in a group of subadult ravens, and by social rank and kinship (which influenced affiliative interactions) in a group of juvenile ravens. Our results demonstrate that not all social connections are equally effective at predicting the patterns of selective observation and information transmission.

  10. Extraction of hidden information by efficient community detection in networks

    NASA Astrophysics Data System (ADS)

    Lee, Jooyoung; Lee, Juyong; Gross, Steven

    2013-03-01

    Currently, we are overwhelmed by a deluge of experimental data, and network physics has the potential to become an invaluable method to increase our understanding of large interacting datasets. However, this potential is often unrealized for two reasons: uncovering the hidden community structure of a network, known as community detection, is difficult, and further, even if one has an idea of this community structure, it is not a priori obvious how to efficiently use this information. Here, to address both of these issues, we, first, identify optimal community structure of given networks in terms of modularity by utilizing a recently introduced community detection method. Second, we develop an approach to use this community information to extract hidden information from a network. When applied to a protein-protein interaction network, the proposed method outperforms current state-of-the-art methods that use only the local information of a network. The method is generally applicable to networks from many areas. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 20120001222).

  11. Competition between Homophily and Information Entropy Maximization in Social Networks

    PubMed Central

    Zhao, Jichang; Liang, Xiao; Xu, Ke

    2015-01-01

    In social networks, it is conventionally thought that two individuals with more overlapped friends tend to establish a new friendship, which could be stated as homophily breeding new connections. While the recent hypothesis of maximum information entropy is presented as the possible origin of effective navigation in small-world networks. We find there exists a competition between information entropy maximization and homophily in local structure through both theoretical and experimental analysis. This competition suggests that a newly built relationship between two individuals with more common friends would lead to less information entropy gain for them. We demonstrate that in the evolution of the social network, both of the two assumptions coexist. The rule of maximum information entropy produces weak ties in the network, while the law of homophily makes the network highly clustered locally and the individuals would obtain strong and trust ties. A toy model is also presented to demonstrate the competition and evaluate the roles of different rules in the evolution of real networks. Our findings could shed light on the social network modeling from a new perspective. PMID:26334994

  12. 78 FR 73415 - Information To Be Distributed to the Federal Home Loan Banks and the Office of Finance

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-06

    ... collectively, that is contained in the weekly report on Bank liquidity prepared by DBR; 4. Information about... prepared by FHFA, indicating whether each Bank has timely filed with FHFA the quarterly liquidity... AGENCY 12 CFR Part 1260 Information To Be Distributed to the Federal Home Loan Banks and the Office...

  13. The information transmission in community networks

    NASA Astrophysics Data System (ADS)

    Zhu, Zhi-Qiang; Liu, Chuan-Jian; Wu, Jian-Liang; Liu, Bin

    2013-09-01

    The community structure has been empirically found in many real networks. This paper proposes an efficient Double Shortest Path routing strategy trying to avoid the modules of traffic congestion, which means that we adopt the shortest routing strategy both in the inter-modules and in the intra-module. Simulations show that this routing algorithm is superior to the traditional shortest path routing protocol with appropriate selection of the tunable parameters. In addition, this algorithm can also be improved by integrating it with several alternative routing strategies.

  14. Implementing a web-based home monitoring system within an academic health care network: barriers and facilitators to innovation diffusion.

    PubMed

    Pelletier, Alexandra C; Jethwani, Kamal; Bello, Heather; Kvedar, Joseph; Grant, Richard W

    2011-01-01

    The practice of outpatient type 2 diabetes management is gradually moving from the traditional visit-based, fee-for-service model to a new, health information communication technology (ICT)-supported model that can enable non-visit-based diabetes care. To date, adoption of innovative health ICT tools for diabetes management has been slowed by numerous barriers, such as capital investment costs, lack of reliable reimbursement mechanisms, design defects that have made some systems time-consuming and inefficient to use, and the need to integrate new ICT tools into a system not primarily designed for their use. Effective implementation of innovative diabetes health ICT interventions must address local practice heterogeneity and the interaction of this heterogeneity with clinical care delivery. The Center for Connected Health at Partners Healthcare has implemented a new ICT intervention, Diabetes Connect (DC), a Web-based glucose home monitoring and clinical messaging system. Using the framework of the diffusion of innovation theory, we review the implementation and examine lessons learned as we continue to deploy DC across the health care network.

  15. Information theory and the ethylene genetic network

    PubMed Central

    González-García, José S

    2011-01-01

    The original aim of the Information Theory (IT) was to solve a purely technical problem: to increase the performance of communication systems, which are constantly affected by interferences that diminish the quality of the transmitted information. That is, the theory deals only with the problem of transmitting with the maximal precision the symbols constituting a message. In Shannon's theory messages are characterized only by their probabilities, regardless of their value or meaning. As for its present day status, it is generally acknowledged that Information Theory has solid mathematical foundations and has fruitful strong links with Physics in both theoretical and experimental areas. However, many applications of Information Theory to Biology are limited to using it as a technical tool to analyze biopolymers, such as DNA, RNA or protein sequences. The main point of discussion about the applicability of IT to explain the information flow in biological systems is that in a classic communication channel, the symbols that conform the coded message are transmitted one by one in an independent form through a noisy communication channel, and noise can alter each of the symbols, distorting the message; in contrast, in a genetic communication channel the coded messages are not transmitted in the form of symbols but signaling cascades transmit them. Consequently, the information flow from the emitter to the effector is due to a series of coupled physicochemical processes that must ensure the accurate transmission of the message. In this review we discussed a novel proposal to overcome this difficulty, which consists of the modeling of gene expression with a stochastic approach that allows Shannon entropy (H) to be directly used to measure the amount of uncertainty that the genetic machinery has in relation to the correct decoding of a message transmitted into the nucleus by a signaling pathway. From the value of H we can define a function I that measures the amount of

  16. Information theory and the ethylene genetic network.

    PubMed

    González-García, José S; Díaz, José

    2011-10-01

    The original aim of the Information Theory (IT) was to solve a purely technical problem: to increase the performance of communication systems, which are constantly affected by interferences that diminish the quality of the transmitted information. That is, the theory deals only with the problem of transmitting with the maximal precision the symbols constituting a message. In Shannon's theory messages are characterized only by their probabilities, regardless of their value or meaning. As for its present day status, it is generally acknowledged that Information Theory has solid mathematical foundations and has fruitful strong links with Physics in both theoretical and experimental areas. However, many applications of Information Theory to Biology are limited to using it as a technical tool to analyze biopolymers, such as DNA, RNA or protein sequences. The main point of discussion about the applicability of IT to explain the information flow in biological systems is that in a classic communication channel, the symbols that conform the coded message are transmitted one by one in an independent form through a noisy communication channel, and noise can alter each of the symbols, distorting the message; in contrast, in a genetic communication channel the coded messages are not transmitted in the form of symbols but signaling cascades transmit them. Consequently, the information flow from the emitter to the effector is due to a series of coupled physicochemical processes that must ensure the accurate transmission of the message. In this review we discussed a novel proposal to overcome this difficulty, which consists of the modeling of gene expression with a stochastic approach that allows Shannon entropy (H) to be directly used to measure the amount of uncertainty that the genetic machinery has in relation to the correct decoding of a message transmitted into the nucleus by a signaling pathway. From the value of H we can define a function I that measures the amount of

  17. A Comparison of Geographic Information Systems, Complex Networks, and Other Models for Analyzing Transportation Network Topologies

    NASA Technical Reports Server (NTRS)

    Alexandrov, Natalia (Technical Monitor); Kuby, Michael; Tierney, Sean; Roberts, Tyler; Upchurch, Christopher

    2005-01-01

    This report reviews six classes of models that are used for studying transportation network topologies. The report is motivated by two main questions. First, what can the "new science" of complex networks (scale-free, small-world networks) contribute to our understanding of transport network structure, compared to more traditional methods? Second, how can geographic information systems (GIS) contribute to studying transport networks? The report defines terms that can be used to classify different kinds of models by their function, composition, mechanism, spatial and temporal dimensions, certainty, linearity, and resolution. Six broad classes of models for analyzing transport network topologies are then explored: GIS; static graph theory; complex networks; mathematical programming; simulation; and agent-based modeling. Each class of models is defined and classified according to the attributes introduced earlier. The paper identifies some typical types of research questions about network structure that have been addressed by each class of model in the literature.

  18. Dynamic Sampling and Information Encoding in Biochemical Networks

    NASA Astrophysics Data System (ADS)

    Potter, Garrett D.; Byrd, Tommy A.; Mugler, Andrew; Sun, Bo

    2017-02-01

    Cells use biochemical networks to translate environmental information into intracellular responses. These responses can be highly dynamic, but how the information is encoded in these dynamics remains poorly understood. Here we investigate the dynamic encoding of information in the ATP-induced calcium responses of fibroblast cells, using a vectorial, or multi-time-point, measure from information theory. We find that the amount of extracted information depends on physiological constraints such as the sampling rate and memory capacity of the downstream network, and is affected differentially by intrinsic vs. extrinsic noise. By comparing to a minimal physical model, we find, surprisingly, that the information is often insensitive to the detailed structure of the underlying dynamics, and instead the decoding mechanism acts as a simple low-pass filter. These results demonstrate the mechanisms and limitations of dynamic information storage in cells.

  19. High-end Home Firewalls CIAC-2326

    SciTech Connect

    Orvis, W

    2003-10-08

    Networking in most large organizations is protected with corporate firewalls and managed by seasoned security professionals. Attempts to break into systems at these organizations are extremely difficult to impossible for an external intruder. With the growth in networking and the options that it makes possible, new avenues of intrusion are opening up. Corporate machines exist that are completely unprotected against intrusions, that are not managed by a security professional, and that are regularly connected to the company network. People have the option of and are encouraged to work at home using a home computer linked to the company network. Managers have home computers linked to internal machines so they can keep an eye on internal processes while not physically at work. Researchers do research or writing at home and connect to the company network to download information and upload results. In most cases, these home computers are completely unprotected, except for any protection that the home user might have installed. Unfortunately, most home users are not security professionals and home computers are often used by other family members, such as children downloading music, who are completely unconcerned about security precautions. When these computers are connected to the company network, they can easily introduce viruses, worms, and other malicious code or open a channel behind the company firewall for an external intruder.

  20. Creating Possible Selves: Information Disclosure Behaviour on Social Networks

    ERIC Educational Resources Information Center

    Bronstein, Jenny

    2014-01-01

    Introduction: This study investigates the creation of alternative identities or possible selves on social networks by examining self-presentation and self-disclosure as elements of the information disclosure behaviour of Facebook users. Method. An online questionnaire was distributed amongst library and information science students at Bar-Ilan…

  1. Museum Information Networks. Museum Data Bank Research Report No. 5.

    ERIC Educational Resources Information Center

    Chenhall, Robert G.

    Several museum information processing systems are discussed in relation to their underlying assumptions regarding museum information and networking needs that have resulted in inadequate service to some kinds of museums, particularly historical museums. Rather than any of these systems, a modular approach is proposed that would allow each museum…

  2. Smooth information flow in temperature climate network reflects mass transport

    NASA Astrophysics Data System (ADS)

    Hlinka, Jaroslav; Jajcay, Nikola; Hartman, David; Paluš, Milan

    2017-03-01

    A directed climate network is constructed by Granger causality analysis of air temperature time series from a regular grid covering the whole Earth. Using winner-takes-all network thresholding approach, a structure of a smooth information flow is revealed, hidden to previous studies. The relevance of this observation is confirmed by comparison with the air mass transfer defined by the wind field. Their close relation illustrates that although the information transferred due to the causal influence is not a physical quantity, the information transfer is tied to the transfer of mass and energy.

  3. Reference Service in the Information Network.

    ERIC Educational Resources Information Center

    Bunge, Charles A.

    Reference service is defined as the mediation by a librarian between the need structures of users and the structures of information resources. The general process by which reference librarians accomplish this is outlined as including the phases of question clarification, question translation, search strategy formulation, search execution, delivery…

  4. A Kansas Integrated Commercialization Information Network (KICIN).

    ERIC Educational Resources Information Center

    Ambler, C.; And Others

    A consortium of Kansas economic development service providers is building a web of virtual satellite offices that will demonstrate the delivery of economic development services in all areas of Kansas. These "offices" will use the Internet and a novel information delivery system to reach small and medium-sized businesses and individuals…

  5. Informant Accuracy in Social Network Data II

    ERIC Educational Resources Information Center

    Bernard, H. Russell; Killworth, Peter D.

    1977-01-01

    Repeats an earlier study by the authors concerning informants' ability to report their communication accurately and confirms results indicating that people do not know those with whom they communicate. Expands the original experimental design and offers recommendations for future research. (MH)

  6. Preventing Terrorism Using Information Sharing Networks

    DTIC Science & Technology

    2006-09-01

    in fusing information and providing valuable intelligence that thwarted a terrorist attack at Disneyland . A videotape was received that contained a...creditable threat of a Sarin gas attack at Disneyland . The LA TEW conducted the initial analysis of the tape and the initial investigation that

  7. Design of surface-water data networks for regional information

    USGS Publications Warehouse

    Moss, Marshall E.; Gilroy, E.J.; Tasker, Gary D.; Karlinger, M.R.

    1982-01-01

    This report describes a technique, Network Analysis of Regional Information (NARI), and the existing computer procedures that have been developed for the specification of the regional information-cost relation for several statistical parameters of streamflow. The measure of information used is the true standard error of estimate of a regional logarithmic regression. The cost is a function of the number of stations at which hydrologic data are collected and the number of years for which the data are collected. The technique can be used to obtain either (1) a minimum cost network that will attain a prespecified accuracy and reliability or (2) a network that maximizes information given a set of budgetary and time constraints.

  8. Enhancing topology adaptation in information-sharing social networks

    NASA Astrophysics Data System (ADS)

    Cimini, Giulio; Chen, Duanbing; Medo, Matúš; Lü, Linyuan; Zhang, Yi-Cheng; Zhou, Tao

    2012-04-01

    The advent of the Internet and World Wide Web has led to unprecedent growth of the information available. People usually face the information overload by following a limited number of sources which best fit their interests. It has thus become important to address issues like who gets followed and how to allow people to discover new and better information sources. In this paper we conduct an empirical analysis of different online social networking sites and draw inspiration from its results to present different source selection strategies in an adaptive model for social recommendation. We show that local search rules which enhance the typical topological features of real social communities give rise to network configurations that are globally optimal. These rules create networks which are effective in information diffusion and resemble structures resulting from real social systems.

  9. Diffusion processes of fragmentary information on scale-free networks

    NASA Astrophysics Data System (ADS)

    Li, Xun; Cao, Lang

    2016-05-01

    Compartmental models of diffusion over contact networks have proven representative of real-life propagation phenomena among interacting individuals. However, there is a broad class of collective spreading mechanisms departing from compartmental representations, including those for diffusive objects capable of fragmentation and transmission unnecessarily as a whole. Here, we consider a continuous-state susceptible-infected-susceptible (SIS) model as an ideal limit-case of diffusion processes of fragmentary information on networks, where individuals possess fractions of the information content and update them by selectively exchanging messages with partners in the vicinity. Specifically, we incorporate local information, such as neighbors' node degrees and carried contents, into the individual partner choice, and examine the roles of a variety of such strategies in the information diffusion process, both qualitatively and quantitatively. Our method provides an effective and flexible route of modulating continuous-state diffusion dynamics on networks and has potential in a wide array of practical applications.

  10. How multiple social networks affect user awareness: The information diffusion process in multiplex networks

    NASA Astrophysics Data System (ADS)

    Li, Weihua; Tang, Shaoting; Fang, Wenyi; Guo, Quantong; Zhang, Xiao; Zheng, Zhiming

    2015-10-01

    The information diffusion process in single complex networks has been extensively studied, especially for modeling the spreading activities in online social networks. However, individuals usually use multiple social networks at the same time, and can share the information they have learned from one social network to another. This phenomenon gives rise to a new diffusion process on multiplex networks with more than one network layer. In this paper we account for this multiplex network spreading by proposing a model of information diffusion in two-layer multiplex networks. We develop a theoretical framework using bond percolation and cascading failure to describe the intralayer and interlayer diffusion. This allows us to obtain analytical solutions for the fraction of informed individuals as a function of transmissibility T and the interlayer transmission rate θ . Simulation results show that interaction between layers can greatly enhance the information diffusion process. And explosive diffusion can occur even if the transmissibility of the focal layer is under the critical threshold, due to interlayer transmission.

  11. How multiple social networks affect user awareness: The information diffusion process in multiplex networks.

    PubMed

    Li, Weihua; Tang, Shaoting; Fang, Wenyi; Guo, Quantong; Zhang, Xiao; Zheng, Zhiming

    2015-10-01

    The information diffusion process in single complex networks has been extensively studied, especially for modeling the spreading activities in online social networks. However, individuals usually use multiple social networks at the same time, and can share the information they have learned from one social network to another. This phenomenon gives rise to a new diffusion process on multiplex networks with more than one network layer. In this paper we account for this multiplex network spreading by proposing a model of information diffusion in two-layer multiplex networks. We develop a theoretical framework using bond percolation and cascading failure to describe the intralayer and interlayer diffusion. This allows us to obtain analytical solutions for the fraction of informed individuals as a function of transmissibility T and the interlayer transmission rate θ. Simulation results show that interaction between layers can greatly enhance the information diffusion process. And explosive diffusion can occur even if the transmissibility of the focal layer is under the critical threshold, due to interlayer transmission.

  12. Scalable Networked Information Processing Environment (SNIPE)

    SciTech Connect

    Fagg, G.E.; Moore, K.; Dongarra, J.J. |; Geist, A.

    1997-11-01

    SNIPE is a metacomputing system that aims to provide a reliable, secure, fault tolerant environment for long term distributed computing applications and data stores across the global Internet. This system combines global naming and replication of both processing and data to support large scale information processing applications leading to better availability and reliability than currently available with typical cluster computing and/or distributed computer environments.

  13. [The problem of information value in microvascular networks].

    PubMed

    Krupatkin, A I

    2011-01-01

    The methodology of quantitative estimation of information value in microvascular networks is proposed for the first time with the use of wavelet analysis of skin blood flow oscillations registrated by laser Doppler flowmetry at 30 healthy persons and 56 patients after hand injuries and diseases. It includes calculation of relative indices for the information preservation, the predomination of preserved information and the efficacy of information. The most deviation from multistable information regimen happened after formation of resonance oscillations: the general quantity of information decreased but the preservation of predominated information increased. The preservation of trophic myogenic information predominated after reduction of sympathetic influences. With the increase in the number of information channels the quantity of information increased but its preservation varied. Sensory peptidergic nerve fibres were activated during local heating to 34 degrees C at dorsal forearm skin. This information was the most effective at the beginning of heating during the growth of blood flow to the plateau level. Blood flow oscillations represented in wavelet spectrum serve as operators build on the basis of effective information. These oscillations play not only hemodynamic role but are the bearers of information in microvascular networks.

  14. Robust Classification of Information Networks by Consistent Graph Learning.

    PubMed

    Zhi, Shi; Han, Jiawei; Gu, Quanquan

    2015-09-01

    Graph regularization-based methods have achieved great success for network classification by making the label-link consistency assumption, i.e., if two nodes are linked together, they are likely to belong to the same class. However, in a real-world network, there exist links that connect nodes of different classes. These inconsistent links raise a big challenge for graph regularization and deteriorate the classification performance significantly. To address this problem, we propose a novel algorithm, namely Consistent Graph Learning, which is robust to the inconsistent links of a network. In particular, given a network and a small number of labeled nodes, we aim at learning a consistent network with more consistent and fewer inconsistent links than the original network. Since the link information of a network is naturally represented by a set of relation matrices, the learning of a consistent network is reduced to learning consistent relation matrices under some constraints. More specifically, we achieve it by joint graph regularization on the nuclear norm minimization of consistent relation matrices together with ℓ1-norm minimization on the difference matrices between the original relation matrices and the learned consistent ones subject to certain constraints. Experiments on both homogeneous and heterogeneous network datasets show that the proposed method outperforms the state-of-the-art methods.

  15. Scalable Hierarchical Network Management System for Displaying Network Information in Three Dimensions

    NASA Technical Reports Server (NTRS)

    George, Jude (Inventor); Schlecht, Leslie (Inventor); McCabe, James D. (Inventor); LeKashman, John Jr. (Inventor)

    1998-01-01

    A network management system has SNMP agents distributed at one or more sites, an input output module at each site, and a server module located at a selected site for communicating with input output modules, each of which is configured for both SNMP and HNMP communications. The server module is configured exclusively for HNMP communications, and it communicates with each input output module according to the HNMP. Non-iconified, informationally complete views are provided of network elements to aid in network management.

  16. Stimulus information stored in lasting active and hidden network states is destroyed by network bursts.

    PubMed

    Dranias, Mark R; Westover, M Brandon; Cash, Sidney; VanDongen, Antonius M J

    2015-01-01

    In both humans and animals brief synchronizing bursts of epileptiform activity known as interictal epileptiform discharges (IEDs) can, even in the absence of overt seizures, cause transient cognitive impairments (TCI) that include problems with perception or short-term memory. While no evidence from single units is available, it has been assumed that IEDs destroy information represented in neuronal networks. Cultured neuronal networks are a model for generic cortical microcircuits, and their spontaneous activity is characterized by the presence of synchronized network bursts (SNBs), which share a number of properties with IEDs, including the high degree of synchronization and their spontaneous occurrence in the absence of an external stimulus. As a model approach to understanding the processes underlying IEDs, optogenetic stimulation and multielectrode array (MEA) recordings of cultured neuronal networks were used to study whether stimulus information represented in these networks survives SNBs. When such networks are optically stimulated they encode and maintain stimulus information for as long as one second. Experiments involved recording the network response to a single stimulus and trials where two different stimuli were presented sequentially, akin to a paired pulse trial. We broke the sequential stimulus trials into encoding, delay and readout phases and found that regardless of which phase the SNB occurs, stimulus-specific information was impaired. SNBs were observed to increase the mean network firing rate, but this did not translate monotonically into increases in network entropy. It was found that the more excitable a network, the more stereotyped its response was during a network burst. These measurements speak to whether SNBs are capable of transmitting information in addition to blocking it. These results are consistent with previous reports and provide baseline predictions concerning the neural mechanisms by which IEDs might cause TCI.

  17. Models, Entropy and Information of Temporal Social Networks

    NASA Astrophysics Data System (ADS)

    Zhao, Kun; Karsai, Márton; Bianconi, Ginestra

    Temporal social networks are characterized by heterogeneous duration of contacts, which can either follow a power-law distribution, such as in face-to-face interactions, or a Weibull distribution, such as in mobile-phone communication. Here we model the dynamics of face-to-face interaction and mobile phone communication by a reinforcement dynamics, which explains the data observed in these different types of social interactions. We quantify the information encoded in the dynamics of these networks by the entropy of temporal networks. Finally, we show evidence that human dynamics is able to modulate the information present in social network dynamics when it follows circadian rhythms and when it is interfacing with a new technology such as the mobile-phone communication technology.

  18. Integrating network structure and dynamic information for better routing strategy on scale-free networks

    NASA Astrophysics Data System (ADS)

    Tang, Xiao-Gai; Wong, Eric W. M.; Wu, Zhi-Xi

    2009-06-01

    We study information packet routing processes on scale-free networks by mimicking the Internet traffic delivery strategies. We incorporate both the global network structure information and local queuing information in the dynamic processes. We propose several new routing strategies to guide the packet routing. The performance of the routing strategies is measured by the average transit time of the packets as well as their dependence on the traffic amount. We find that the routing strategies which integrate both global network structure information and local dynamic information perform much better than the traditional shortest-path routing protocol which takes into account only the global topological information. Moreover, from comparative studies of these routing strategies, we observe that some of our proposed methods can decrease the average transit time of packets but the performance is closely dependent on the total amount of traffic while some other proposed methods can have good performance independent of the total amount of traffic with hyper-excellent average transit time of packets. Also, numerical results show that our proposed methods integrating network structure information and local dynamic information can work much better than the methods recently proposed in [S. Sreenivasan, R. Cohen, E. López, Z. Toroczkai, H.E. Stanley, Phys. Rev. E 75 (2007) 036105, Zhi-Xi Wu, Gang Peng, Eric W.M. Wong, Kai-Hau Yeung, J. Stat. Mech. (2008) P11002.], which only considered network structure information.

  19. Dynamic Spectrum Sharing with Limited Network State Information

    DTIC Science & Technology

    2010-11-01

    possibly different) messages to a set of mobile receivers . We have studied limited feedback schemes for both single-user Orthogonal Frequency...in which the broadcast node sequentially receives feedback from the mobiles and decides when to stop receiving additional feedback and begin data...concerned with the costs and benefits of learning and exchanging Network State Information (NSI) among cooperative nodes in a wireless network. NSI

  20. Reservation information sharing enhancement for deflection routing in OBS network.

    PubMed

    Gao, Donghui; Zhang, Hanyi; Zhou, Zhiyu

    2005-03-07

    The resource contention problem is critical in Just-Enough-Time (JET) based optical burst switching (OBS) networks. Although deflection routing (DR) reduces the contention probability in some degree, it does not give much improvement under heavy traffic load. This paper analyzed the inducement causing contention in OBS networks, and proposed Resource Information Sharing Enhancement (RISE) scheme. Theoretical analysis shows that this scheme achieves shorter length of the detour path than normal DR. We simulated this scheme on both full mesh network and practical 14-node NSFNET. The simulation results show that it gives at best 2 orders magnitude improvement in reducing the burst contention probability over its previous routing approaches.

  1. Gravity effects on information filtering and network evolving.

    PubMed

    Liu, Jin-Hu; Zhang, Zi-Ke; Chen, Lingjiao; Liu, Chuang; Yang, Chengcheng; Wang, Xueqi

    2014-01-01

    In this paper, based on the gravity principle of classical physics, we propose a tunable gravity-based model, which considers tag usage pattern to weigh both the mass and distance of network nodes. We then apply this model in solving the problems of information filtering and network evolving. Experimental results on two real-world data sets, Del.icio.us and MovieLens, show that it can not only enhance the algorithmic performance, but can also better characterize the properties of real networks. This work may shed some light on the in-depth understanding of the effect of gravity model.

  2. Enhanced reliable transmission control protocol for spatial information networks

    NASA Astrophysics Data System (ADS)

    Qin, Zhihong; Zhang, Juan; Wang, Junfeng

    2009-12-01

    Satellites channels are generally featured by high bit error rate (BER), long propagation delay, large bandwidth-delay product (BDP) and so on. This tends to make the traditional TCP suffer from serious performance degradation in satellite networks. Therefore, a TCP-compatible reliable transmission protocol (i.e., TCP-AX) for spatial information networks is proposed in this paper. And a bandwidth probing mechanism is designed to distinguish network congestion and link error. Simulation results show that TCP-AX has better performance than some popular enhanced TCP protocols.

  3. Realizing the Potential of Information Resources: Information, Technology, and Services. Track 6: Networking and Telecommunications.

    ERIC Educational Resources Information Center

    CAUSE, Boulder, CO.

    Six papers and two abstracts of papers are presented from the 1995 CAUSE conference track on networking and telecommunications issues faced by managers of information technology at colleges and universities. The papers include: (1) "Looking to the Year 2000: Alternatives in Campus Data Networking" (Noam H. Artz and Daniel A. Updegrove),…

  4. Telecommunications Information Network: A Model for On-Demand Transfer of Medical Information. Annual Report.

    ERIC Educational Resources Information Center

    Lorenzi, Nancy M.; And Others

    This report describes and evaluates the first year of a demonstration project to develop an on-demand telecommunications network linking four remote hospitals in southwestern Ohio to the University of Cincinnati Medical Center. The Telecommunications Information Network (TIN) is designed to allow health care professionals at those hospitals to…

  5. Adaptive Local Information Transfer in Random Boolean Networks.

    PubMed

    Haruna, Taichi

    2017-01-01

    Living systems such as gene regulatory networks and neuronal networks have been supposed to work close to dynamical criticality, where their information-processing ability is optimal at the whole-system level. We investigate how this global information-processing optimality is related to the local information transfer at each individual-unit level. In particular, we introduce an internal adjustment process of the local information transfer and examine whether the former can emerge from the latter. We propose an adaptive random Boolean network model in which each unit rewires its incoming arcs from other units to balance stability of its information processing based on the measurement of the local information transfer pattern. First, we show numerically that random Boolean networks can self-organize toward near dynamical criticality in our model. Second, the proposed model is analyzed by a mean-field theory. We recognize that the rewiring rule has a bootstrapping feature. The stationary indegree distribution is calculated semi-analytically and is shown to be close to dynamical criticality in a broad range of model parameter values.

  6. Information flow in layered networks of non-monotonic units

    NASA Astrophysics Data System (ADS)

    Schittler Neves, Fabio; Martim Schubert, Benno; Erichsen, Rubem, Jr.

    2015-07-01

    Layered neural networks are feedforward structures that yield robust parallel and distributed pattern recognition. Even though much attention has been paid to pattern retrieval properties in such systems, many aspects of their dynamics are not yet well characterized or understood. In this work we study, at different temperatures, the memory activity and information flows through layered networks in which the elements are the simplest binary odd non-monotonic function. Our results show that, considering a standard Hebbian learning approach, the network information content has its maximum always at the monotonic limit, even though the maximum memory capacity can be found at non-monotonic values for small enough temperatures. Furthermore, we show that such systems exhibit rich macroscopic dynamics, including not only fixed point solutions of its iterative map, but also cyclic and chaotic attractors that also carry information.

  7. Reverse Engineering Cellular Networks with Information Theoretic Methods

    PubMed Central

    Villaverde, Alejandro F.; Ross, John; Banga, Julio R.

    2013-01-01

    Building mathematical models of cellular networks lies at the core of systems biology. It involves, among other tasks, the reconstruction of the structure of interactions between molecular components, which is known as network inference or reverse engineering. Information theory can help in the goal of extracting as much information as possible from the available data. A large number of methods founded on these concepts have been proposed in the literature, not only in biology journals, but in a wide range of areas. Their critical comparison is difficult due to the different focuses and the adoption of different terminologies. Here we attempt to review some of the existing information theoretic methodologies for network inference, and clarify their differences. While some of these methods have achieved notable success, many challenges remain, among which we can mention dealing with incomplete measurements, noisy data, counterintuitive behaviour emerging from nonlinear relations or feedback loops, and computational burden of dealing with large data sets. PMID:24709703

  8. Interprofessional team building in the palliative home care setting: Use of a conceptual framework to inform a pilot evaluation.

    PubMed

    Shaw, James; Kearney, Colleen; Glenns, Brenda; McKay, Sandra

    2016-01-01

    Home-based palliative care is increasingly dependent on interprofessional teams to deliver collaborative care that more adequately meets the needs of clients and families. The purpose of this pilot evaluation was to qualitatively explore the views of an interprofessional group of home care providers (occupational therapists, nurses, personal support work supervisors, community care coordinators, and a team coordinator) regarding a pilot project encouraging teamwork in interprofessional palliative home care services. We used qualitative methods, informed by an interprofessional conceptual framework, to analyse participants' accounts and provide recommendations regarding strategies for interprofessional team building in palliative home health care. Findings suggest that encouraging practitioners to share past experiences and foster common goals for palliative care are important elements of team building in interprofessional palliative care. Also, establishing a team leader who emphasises sharing power among team members and addressing the need for mutual emotional support may help to maximise interprofessional teamwork in palliative home care. These findings may be used to develop and test more comprehensive efforts to promote stronger interprofessional teamwork in palliative home health care delivery.

  9. The influence of age, gender and other information technology use on young people's computer use at school and home.

    PubMed

    Harris, C; Straker, L; Pollock, C

    2013-01-01

    Young people are exposed to a range of information technologies (IT) in different environments, including home and school, however the factors influencing IT use at home and school are poorly understood. The aim of this study was to investigate young people's computer exposure patterns at home and school, and related factors such as age, gender and the types of IT used. 1351 children in Years 1, 6, 9 and 11 from 10 schools in metropolitan Western Australia were surveyed. Most children had access to computers at home and school, with computer exposures comparable to TV, reading and writing. Total computer exposure was greater at home than school, and increased with age. Computer activities varied with age and gender and became more social with increased age, at the same time parental involvement reduced. Bedroom computer use was found to result in higher exposure patterns. High use of home and school computers were associated with each other. Associations varied depending on the type of IT exposure measure (frequency, mean weekly hours, usual and longest duration). The frequency and duration of children's computer exposure were associated with a complex interplay of the environment of use, the participant's age and gender and other IT activities.

  10. Using Information and Communication Technology in Home Care for Communication between Patients, Family Members, and Healthcare Professionals: A Systematic Review

    PubMed Central

    Lindberg, Birgitta; Nilsson, Carina; Zotterman, Daniel; Söderberg, Siv; Skär, Lisa

    2013-01-01

    Introduction. Information and communication technology (ICT) are becoming a natural part in healthcare both for delivering and giving accessibility to healthcare for people with chronic illness living at home. Aim. The aim was to review existing studies describing the use of ICT in home care for communication between patients, family members, and healthcare professionals. Methods. A review of studies was conducted that identified 1,276 studies. A selection process and quality appraisal were conducted, which finally resulted in 107 studies. Results. The general results offer an overview of characteristics of studies describing the use of ICT applications in home care and are summarized in areas including study approach, quality appraisal, publications data, terminology used for defining the technology, and disease diagnosis. The specific results describe how communication with ICT was performed in home care and the benefits and drawbacks with the use of ICT. Results were predominated by positive responses in the use of ICT. Conclusion. The use of ICT applications in home care is an expanding research area, with a variety of ICT tools used that could increase accessibility to home care. Using ICT can lead to people living with chronic illnesses gaining control of their illness that promotes self-care. PMID:23690763

  11. Using Information and Communication Technology in Home Care for Communication between Patients, Family Members, and Healthcare Professionals: A Systematic Review.

    PubMed

    Lindberg, Birgitta; Nilsson, Carina; Zotterman, Daniel; Söderberg, Siv; Skär, Lisa

    2013-01-01

    Introduction. Information and communication technology (ICT) are becoming a natural part in healthcare both for delivering and giving accessibility to healthcare for people with chronic illness living at home. Aim. The aim was to review existing studies describing the use of ICT in home care for communication between patients, family members, and healthcare professionals. Methods. A review of studies was conducted that identified 1,276 studies. A selection process and quality appraisal were conducted, which finally resulted in 107 studies. Results. The general results offer an overview of characteristics of studies describing the use of ICT applications in home care and are summarized in areas including study approach, quality appraisal, publications data, terminology used for defining the technology, and disease diagnosis. The specific results describe how communication with ICT was performed in home care and the benefits and drawbacks with the use of ICT. Results were predominated by positive responses in the use of ICT. Conclusion. The use of ICT applications in home care is an expanding research area, with a variety of ICT tools used that could increase accessibility to home care. Using ICT can lead to people living with chronic illnesses gaining control of their illness that promotes self-care.

  12. Shifts in the architecture of the Nationwide Health Information Network.

    PubMed

    Lenert, Leslie; Sundwall, David; Lenert, Michael Edward

    2012-01-01

    In the midst of a US $30 billion USD investment in the Nationwide Health Information Network (NwHIN) and electronic health records systems, a significant change in the architecture of the NwHIN is taking place. Prior to 2010, the focus of information exchange in the NwHIN was the Regional Health Information Organization (RHIO). Since 2010, the Office of the National Coordinator (ONC) has been sponsoring policies that promote an internet-like architecture that encourages point to-point information exchange and private health information exchange networks. The net effect of these activities is to undercut the limited business model for RHIOs, decreasing the likelihood of their success, while making the NwHIN dependent on nascent technologies for community level functions such as record locator services. These changes may impact the health of patients and communities. Independent, scientifically focused debate is needed on the wisdom of ONC's proposed changes in its strategy for the NwHIN.

  13. Privacy and information security risks in a technology platform for home-based chronic disease rehabilitation and education

    PubMed Central

    2013-01-01

    Background Privacy and information security are important for all healthcare services, including home-based services. We have designed and implemented a prototype technology platform for providing home-based healthcare services. It supports a personal electronic health diary and enables secure and reliable communication and interaction with peers and healthcare personnel. The platform runs on a small computer with a dedicated remote control. It is connected to the patient’s TV and to a broadband Internet. The platform has been tested with home-based rehabilitation and education programs for chronic obstructive pulmonary disease and diabetes. As part of our work, a risk assessment of privacy and security aspects has been performed, to reveal actual risks and to ensure adequate information security in this technical platform. Methods Risk assessment was performed in an iterative manner during the development process. Thus, security solutions have been incorporated into the design from an early stage instead of being included as an add-on to a nearly completed system. We have adapted existing risk management methods to our own environment, thus creating our own method. Our method conforms to ISO’s standard for information security risk management. Results A total of approximately 50 threats and possible unwanted incidents were identified and analysed. Among the threats to the four information security aspects: confidentiality, integrity, availability, and quality; confidentiality threats were identified as most serious, with one threat given an unacceptable level of High risk. This is because health-related personal information is regarded as sensitive. Availability threats were analysed as low risk, as the aim of the home programmes is to provide education and rehabilitation services; not for use in acute situations or for continuous health monitoring. Conclusions Most of the identified threats are applicable for healthcare services intended for patients or

  14. Interspecific social networks promote information transmission in wild songbirds.

    PubMed

    Farine, Damien R; Aplin, Lucy M; Sheldon, Ben C; Hoppitt, William

    2015-03-22

    Understanding the functional links between social structure and population processes is a central aim of evolutionary ecology. Multiple types of interactions can be represented by networks drawn for the same population, such as kinship, dominance or affiliative networks, but the relative importance of alternative networks in modulating population processes may not be clear. We illustrate this problem, and a solution, by developing a framework for testing the importance of different types of association in facilitating the transmission of information. We apply this framework to experimental data from wild songbirds that form mixed-species flocks, recording the arrival (patch discovery) of individuals to novel foraging sites. We tested whether intraspecific and interspecific social networks predicted the spread of information about novel food sites, and found that both contributed to transmission. The likelihood of acquiring information per unit of connection to knowledgeable individuals increased 22-fold for conspecifics, and 12-fold for heterospecifics. We also found that species varied in how much information they produced, suggesting that some species play a keystone role in winter foraging flocks. More generally, these analyses demonstrate that this method provides a powerful approach, using social networks to quantify the relative transmission rates across different social relationships.

  15. Dynamics of sensory thalamocortical synaptic networks during information processing states.

    PubMed

    Castro-Alamancos, Manuel A

    2004-11-01

    The thalamocortical network consists of the pathways that interconnect the thalamus and neocortex, including thalamic sensory afferents, corticothalamic and thalamocortical pathways. These pathways are essential to acquire, analyze, store and retrieve sensory information. However, sensory information processing mostly occurs during behavioral arousal, when activity in thalamus and neocortex consists of an electrographic sign of low amplitude fast activity, known as activation, which is caused by several neuromodulator systems that project to the thalamocortical network. Logically, in order to understand how the thalamocortical network processes sensory information it is essential to study its response properties during states of activation. This paper reviews the temporal and spatial response properties of synaptic pathways in the whisker thalamocortical network of rodents during activated states as compared to quiescent (non-activated) states. The evidence shows that these pathways are differentially regulated via the effects of neuromodulators as behavioral contingencies demand. Thus, during activated states, the temporal and spatial response properties of pathways in the thalamocortical network are transformed to allow the processing of sensory information.

  16. Robustness and information propagation in attractors of Random Boolean Networks.

    PubMed

    Lloyd-Price, Jason; Gupta, Abhishekh; Ribeiro, Andre S

    2012-01-01

    Attractors represent the long-term behaviors of Random Boolean Networks. We study how the amount of information propagated between the nodes when on an attractor, as quantified by the average pairwise mutual information (I(A)), relates to the robustness of the attractor to perturbations (R(A)). We find that the dynamical regime of the network affects the relationship between I(A) and R(A). In the ordered and chaotic regimes, I(A) is anti-correlated with R(A), implying that attractors that are highly robust to perturbations have necessarily limited information propagation. Between order and chaos (for so-called "critical" networks) these quantities are uncorrelated. Finite size effects cause this behavior to be visible for a range of networks, from having a sensitivity of 1 to the point where I(A) is maximized. In this region, the two quantities are weakly correlated and attractors can be almost arbitrarily robust to perturbations without restricting the propagation of information in the network.

  17. Information and entropy in neural networks and interacting systems

    NASA Astrophysics Data System (ADS)

    Shafee, Fariel

    In this dissertation we present a study of certain characteristics of interacting systems that are related to information. The first is periodicity, correlation and other information-related properties of neural networks of integrate-and-fire type. We also form quasiclassical and quantum generalizations of such networks and identify the similarities and differences with the classical prototype. We indicate why entropy may be an important concept for a neural network and why a generalization of the definition of entropy may be required. Like neural networks, large ensembles of similar units that interact also need a generalization of classical information-theoretic concepts. We extend the concept of Shannon entropy in a novel way, which may be relevant when we have such interacting systems, and show how it differs from Shannon entropy and other generalizations, such as Tsallis entropy. We indicate how classical stochasticity may arise in interactions with an entangled environment in a quantum system in terms of Shannon's and generalized entropies and identify the differences. Such differences are also indicated in the use of certain prior probability distributions to fit data as per Bayesian rules. We also suggest possible quantum versions of pattern recognition, which is the principal goal of information processing in most neural networks.

  18. Genetics Home Reference

    MedlinePlus

    ... MENU Toggle navigation Home Page Search Share: Email Facebook Twitter Home Health Conditions Genes Chromosomes & mtDNA Resources Help Me Understand Genetics Genetics Home Reference provides consumer-friendly information about the effects of genetic variation ...

  19. 47 CFR 64.2008 - Notice required for use of customer proprietary network information.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... network information. 64.2008 Section 64.2008 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES (CONTINUED) MISCELLANEOUS RULES RELATING TO COMMON CARRIERS Customer Proprietary Network Information § 64.2008 Notice required for use of customer proprietary network...

  20. Information dynamics of brain-heart physiological networks during sleep

    NASA Astrophysics Data System (ADS)

    Faes, L.; Nollo, G.; Jurysta, F.; Marinazzo, D.

    2014-10-01

    This study proposes an integrated approach, framed in the emerging fields of network physiology and information dynamics, for the quantitative analysis of brain-heart interaction networks during sleep. With this approach, the time series of cardiac vagal autonomic activity and brain wave activities measured respectively as the normalized high frequency component of heart rate variability and the EEG power in the δ, θ, α, σ, and β bands, are considered as realizations of the stochastic processes describing the dynamics of the heart system and of different brain sub-systems. Entropy-based measures are exploited to quantify the predictive information carried by each (sub)system, and to dissect this information into a part actively stored in the system and a part transferred to it from the other connected systems. The application of this approach to polysomnographic recordings of ten healthy subjects led us to identify a structured network of sleep brain-brain and brain-heart interactions, with the node described by the β EEG power acting as a hub which conveys the largest amount of information flowing between the heart and brain nodes. This network was found to be sustained mostly by the transitions across different sleep stages, as the information transfer was weaker during specific stages than during the whole night, and vanished progressively when moving from light sleep to deep sleep and to REM sleep.

  1. Enabling information management systems in tactical network environments

    NASA Astrophysics Data System (ADS)

    Carvalho, Marco; Uszok, Andrzej; Suri, Niranjan; Bradshaw, Jeffrey M.; Ceccio, Philip J.; Hanna, James P.; Sinclair, Asher

    2009-05-01

    Net-Centric Information Management (IM) and sharing in tactical environments promises to revolutionize forward command and control capabilities by providing ubiquitous shared situational awareness to the warfighter. This vision can be realized by leveraging the tactical and Mobile Ad hoc Networks (MANET) which provide the underlying communications infrastructure, but, significant technical challenges remain. Enabling information management in these highly dynamic environments will require multiple support services and protocols which are affected by, and highly dependent on, the underlying capabilities and dynamics of the tactical network infrastructure. In this paper we investigate, discuss, and evaluate the effects of realistic tactical and mobile communications network environments on mission-critical information management systems. We motivate our discussion by introducing the Advanced Information Management System (AIMS) which is targeted for deployment in tactical sensor systems. We present some operational requirements for AIMS and highlight how critical IM support services such as discovery, transport, federation, and Quality of Service (QoS) management are necessary to meet these requirements. Our goal is to provide a qualitative analysis of the impact of underlying assumptions of availability and performance of some of the critical services supporting tactical information management. We will also propose and describe a number of technologies and capabilities that have been developed to address these challenges, providing alternative approaches for transport, service discovery, and federation services for tactical networks.

  2. Temporal Evolution Of Information In Neural Networks With Feedback

    NASA Astrophysics Data System (ADS)

    Giahi Saravani, Aram; Pitkow, Xaq

    2015-03-01

    Recurrent neural networks are pivotal for information processing in the brain. Here we analyze how the information content of a neural population is altered by dynamic feedback of a stimulus estimated from the network activity. We find that the temporal evolution of the Fisher information in the model with feedback is bounded by the Fisher information in a network of pure integrators. The available information in the feedback model saturates with a time constant and to a final level both determined by the match between the estimator weights and the feedback weights. This network then encodes signals specifically from either the beginning or the end of the stimulus presentation, depending on this match. These results are relevant to recent experimental measurements of psychophysical kernels indicating that earlier stimuli have a stronger influence on perceptual discriminations than more recent stimuli. We discuss consequences of this description for choice correlations, a measure of how individual neuronal responses relate to perceptual estimates. McNair Foundation, Baylor College of Medicine, Rice University.

  3. 77 FR 15117 - Notice of Proposed Information Collection: Comment Request; Home Equity Conversion Mortgage (HECM...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-14

    ... Mortgage (HECM) Counseling Standardization and Roster AGENCY: Office of the Assistant Secretary for Housing... Proposal: Home Equity Conversion Mortgage (HECM) Counseling Standardization and Roster. OMB Control...

  4. The Application and Implications of Information Technologies in the Home: Where Are the Data and What Do They Say?

    ERIC Educational Resources Information Center

    Papadakis, Maria C.

    This document reports the findings of a project that focused on three main activities: (1) taking inventory and annotating existing data collections related to an understanding of the application and implications of information technologies (IT) in the home; (2) developing an annotated bibliography of articles, books, and reports that present…

  5. Directedness of information flow in mobile phone communication networks.

    PubMed

    Peruani, Fernando; Tabourier, Lionel

    2011-01-01

    Without having direct access to the information that is being exchanged, traces of information flow can be obtained by looking at temporal sequences of user interactions. These sequences can be represented as causality trees whose statistics result from a complex interplay between the topology of the underlying (social) network and the time correlations among the communications. Here, we study causality trees in mobile-phone data, which can be represented as a dynamical directed network. This representation of the data reveals the existence of super-spreaders and super-receivers. We show that the tree statistics, respectively the information spreading process, are extremely sensitive to the in-out degree correlation exhibited by the users. We also learn that a given information, e.g., a rumor, would require users to retransmit it for more than 30 hours in order to cover a macroscopic fraction of the system. Our analysis indicates that topological node-node correlations of the underlying social network, while allowing the existence of information loops, they also promote information spreading. Temporal correlations, and therefore causality effects, are only visible as local phenomena and during short time scales. Consequently, the very idea that there is (intentional) information spreading beyond a small vecinity is called into question. These results are obtained through a combination of theory and data analysis techniques.

  6. Suppressing disease spreading by using information diffusion on multiplex networks

    NASA Astrophysics Data System (ADS)

    Wang, Wei; Liu, Quan-Hui; Cai, Shi-Min; Tang, Ming; Braunstein, Lidia A.; Stanley, H. Eugene

    2016-07-01

    Although there is always an interplay between the dynamics of information diffusion and disease spreading, the empirical research on the systemic coevolution mechanisms connecting these two spreading dynamics is still lacking. Here we investigate the coevolution mechanisms and dynamics between information and disease spreading by utilizing real data and a proposed spreading model on multiplex network. Our empirical analysis finds asymmetrical interactions between the information and disease spreading dynamics. Our results obtained from both the theoretical framework and extensive stochastic numerical simulations suggest that an information outbreak can be triggered in a communication network by its own spreading dynamics or by a disease outbreak on a contact network, but that the disease threshold is not affected by information spreading. Our key finding is that there is an optimal information transmission rate that markedly suppresses the disease spreading. We find that the time evolution of the dynamics in the proposed model qualitatively agrees with the real-world spreading processes at the optimal information transmission rate.

  7. MIDER: Network Inference with Mutual Information Distance and Entropy Reduction

    PubMed Central

    Villaverde, Alejandro F.; Ross, John; Morán, Federico; Banga, Julio R.

    2014-01-01

    The prediction of links among variables from a given dataset is a task referred to as network inference or reverse engineering. It is an open problem in bioinformatics and systems biology, as well as in other areas of science. Information theory, which uses concepts such as mutual information, provides a rigorous framework for addressing it. While a number of information-theoretic methods are already available, most of them focus on a particular type of problem, introducing assumptions that limit their generality. Furthermore, many of these methods lack a publicly available implementation. Here we present MIDER, a method for inferring network structures with information theoretic concepts. It consists of two steps: first, it provides a representation of the network in which the distance among nodes indicates their statistical closeness. Second, it refines the prediction of the existing links to distinguish between direct and indirect interactions and to assign directionality. The method accepts as input time-series data related to some quantitative features of the network nodes (such as e.g. concentrations, if the nodes are chemical species). It takes into account time delays between variables, and allows choosing among several definitions and normalizations of mutual information. It is general purpose: it may be applied to any type of network, cellular or otherwise. A Matlab implementation including source code and data is freely available (http://www.iim.csic.es/~gingproc/mider.html). The performance of MIDER has been evaluated on seven different benchmark problems that cover the main types of cellular networks, including metabolic, gene regulatory, and signaling. Comparisons with state of the art information–theoretic methods have demonstrated the competitive performance of MIDER, as well as its versatility. Its use does not demand any a priori knowledge from the user; the default settings and the adaptive nature of the method provide good results for a wide

  8. Informational dynamics of vasomotion in microvascular networks: a review.

    PubMed

    Pradhan, R K; Chakravarthy, V S

    2011-02-01

    Vasomotion refers to spontaneous oscillation of small vessels observed in many microvascular beds. It is an intrinsic phenomenon unrelated to cardiac rhythm or neural and hormonal regulation. Vasomotion is found to be particularly prominent under conditions of metabolic stress. In spite of a significant existent literature on vasomotion, its physiological and pathophysiological roles are not clear. It is thought that modulation of vasomotion by vasoactive substances released by metabolizing tissue plays a role in ensuring optimal delivery of nutrients to the tissue. Vasomotion rhythms exhibit a great variety of temporal patterns from regular oscillations to chaos. The nature of vasomotion rhythm is believed to be significant to its function, with chaotic vasomotion offering several physiological advantages over regular, periodic vasomotion. In this article, we emphasize that vasomotion is best understood as a network phenomenon. When there is a local metabolic demand in tissue, an ideal vascular response should extend beyond local microvasculature, with coordinated changes over multiple vascular segments. Mechanisms of information transfer over a vessel network have been discussed in the literature. The microvascular system may be regarded as a network of dynamic elements, interacting, either over the vascular anatomical network via gap junctions, or physiologically by exchange of vasoactive substances. Drawing analogies with spatiotemporal patterns in neuronal networks of central nervous system, we ask if properties like synchronization/desynchronization of vasomotors have special significance to microcirculation. Thus the contemporary literature throws up a novel view of microcirculation as a network that exhibits complex, spatiotemporal and informational dynamics.

  9. Strategies on the Implementation of China's Logistics Information Network

    NASA Astrophysics Data System (ADS)

    Dong, Yahui; Li, Wei; Guo, Xuwen

    The economic globalization and trend of e-commerce network have determined that the logistics industry will be rapidly developed in the 21st century. In order to achieve the optimal allocation of resources, a worldwide rapid and sound customer service system should be established. The establishment of a corresponding modern logistics system is the inevitable choice of this requirement. It is also the inevitable choice for the development of modern logistics industry in China. The perfect combination of modern logistics and information network can better promote the development of the logistics industry. Through the analysis of Status of Logistics Industry in China, this paper summed up the domestic logistics enterprise logistics information system in the building of some common problems. According to logistics information systems planning methods and principles set out logistics information system to optimize the management model.

  10. Analysis of co-occurrence networks with clique occurrence information

    NASA Astrophysics Data System (ADS)

    Shen, Bin; Li, Yixiao

    2014-12-01

    Most of co-occurrence networks only record co-occurrence relationships between two entities, and ignore the weights of co-occurrence cliques whose size is bigger than two. However, this ignored information may help us to gain insight into the co-occurrence phenomena of systems. In this paper, we analyze co-occurrence networks with clique occurrence information (CNCI) thoroughly. First, we describe the components of CNCIs and discuss the generation of clique occurrence information. And then, to illustrate the importance and usefulness of clique occurrence information, several metrics, i.e. single occurrence rate, average size of maximal co-occurrence cliques and four types of co-occurrence coefficients etc., are given. Moreover, some applications, such as combining co-occurrence frequency with structure-oriented centrality measures, are also discussed.

  11. Spiking neural networks for higher-level information fusion

    NASA Astrophysics Data System (ADS)

    Bomberger, Neil A.; Waxman, Allen M.; Pait, Felipe M.

    2004-04-01

    This paper presents a novel approach to higher-level (2+) information fusion and knowledge representation using semantic networks composed of coupled spiking neuron nodes. Networks of spiking neurons have been shown to exhibit synchronization, in which sub-assemblies of nodes become phase locked to one another. This phase locking reflects the tendency of biological neural systems to produce synchronized neural assemblies, which have been hypothesized to be involved in feature binding. The approach in this paper embeds spiking neurons in a semantic network, in which a synchronized sub-assembly of nodes represents a hypothesis about a situation. Likewise, multiple synchronized assemblies that are out-of-phase with one another represent multiple hypotheses. The initial network is hand-coded, but additional semantic relationships can be established by associative learning mechanisms. This approach is demonstrated with a simulated scenario involving the tracking of suspected criminal vehicles between meeting places in an urban environment.

  12. Exquisite textiles sensors and wireless sensor network device for home health care.

    PubMed

    Huang, Wen-Tzeng; Chen, Chin-Hsing; Chang, Yuan-Jen; Chen, You-Yin; Huang, Jung-Lin; Yang, Chang Ming; Yang, Tzu Lin

    2008-01-01

    In this study, we propose a wearing system with four sensors, ECG (electrocardiogram), three-axis accelerometer, temperature, and tight-switch, applied for remote monitoring system in home-care. The sensors ECG, measured with wearable electrodes made of the steel textile to generate the real-time heart-rate estimator, tight-switch, made of the steel textile to check whether wearing person dresses properly, accelerometer, and temperature parameters are received via the ZigBee receiver within an exquisite belt. Since the movable textile electrodes will cause of unfixed contacts when the wearing person is in motion, making the heart-rate estimation much a sophisticated work, the tight-switch sensor and FIR (Filter Impulse Response) filter technology are applied here to get the more satisfiable heart-rate. The other two bio-sensors can detect the whether fall-down or not and normal body-temperature of this wearing person. Moreover, the ZigBee device with small size, low-power consumption, and high-reliability characteristics is designed to transmit the detected bio-information from these four sensors. Therefore, the vital system embedded with the capability of real-time heart-rate estimation and transmission makes it highly suitable for applications of remote healthcare and wellness.

  13. Chaotic, informational and synchronous behaviour of multiplex networks

    NASA Astrophysics Data System (ADS)

    Baptista, M. S.; Szmoski, R. M.; Pereira, R. F.; Pinto, S. E. De Souza

    2016-03-01

    The understanding of the relationship between topology and behaviour in interconnected networks would allow to charac- terise and predict behaviour in many real complex networks since both are usually not simultaneously known. Most previous studies have focused on the relationship between topology and synchronisation. In this work, we provide analytical formulas that shows how topology drives complex behaviour: chaos, information, and weak or strong synchronisation; in multiplex net- works with constant Jacobian. We also study this relationship numerically in multiplex networks of Hindmarsh-Rose neurons. Whereas behaviour in the analytically tractable network is a direct but not trivial consequence of the spectra of eigenvalues of the Laplacian matrix, where behaviour may strongly depend on the break of symmetry in the topology of interconnections, in Hindmarsh-Rose neural networks the nonlinear nature of the chemical synapses breaks the elegant mathematical connec- tion between the spectra of eigenvalues of the Laplacian matrix and the behaviour of the network, creating networks whose behaviour strongly depends on the nature (chemical or electrical) of the inter synapses.

  14. Topology for efficient information dissemination in ad-hoc networking

    NASA Technical Reports Server (NTRS)

    Jennings, E.; Okino, C. M.

    2002-01-01

    In this paper, we explore the information dissemination problem in ad-hoc wirless networks. First, we analyze the probability of successful broadcast, assuming: the nodes are uniformly distributed, the available area has a lower bould relative to the total number of nodes, and there is zero knowledge of the overall topology of the network. By showing that the probability of such events is small, we are motivated to extract good graph topologies to minimize the overall transmissions. Three algorithms are used to generate topologies of the network with guaranteed connectivity. These are the minimum radius graph, the relative neighborhood graph and the minimum spanning tree. Our simulation shows that the relative neighborhood graph has certain good graph properties, which makes it suitable for efficient information dissemination.

  15. Networks in financial markets based on the mutual information rate

    NASA Astrophysics Data System (ADS)

    Fiedor, Paweł

    2014-05-01

    In the last few years there have been many efforts in econophysics studying how network theory can facilitate understanding of complex financial markets. These efforts consist mainly of the study of correlation-based hierarchical networks. This is somewhat surprising as the underlying assumptions of research looking at financial markets are that they are complex systems and thus behave in a nonlinear manner, which is confirmed by numerous studies, making the use of correlations which are inherently dealing with linear dependencies only baffling. In this paper we introduce a way to incorporate nonlinear dynamics and dependencies into hierarchical networks to study financial markets using mutual information and its dynamical extension: the mutual information rate. We show that this approach leads to different results than the correlation-based approach used in most studies, on the basis of 91 companies listed on the New York Stock Exchange 100 between 2003 and 2013, using minimal spanning trees and planar maximally filtered graphs.

  16. Networks in financial markets based on the mutual information rate.

    PubMed

    Fiedor, Paweł

    2014-05-01

    In the last few years there have been many efforts in econophysics studying how network theory can facilitate understanding of complex financial markets. These efforts consist mainly of the study of correlation-based hierarchical networks. This is somewhat surprising as the underlying assumptions of research looking at financial markets are that they are complex systems and thus behave in a nonlinear manner, which is confirmed by numerous studies, making the use of correlations which are inherently dealing with linear dependencies only baffling. In this paper we introduce a way to incorporate nonlinear dynamics and dependencies into hierarchical networks to study financial markets using mutual information and its dynamical extension: the mutual information rate. We show that this approach leads to different results than the correlation-based approach used in most studies, on the basis of 91 companies listed on the New York Stock Exchange 100 between 2003 and 2013, using minimal spanning trees and planar maximally filtered graphs.

  17. A novel information cascade model in online social networks

    NASA Astrophysics Data System (ADS)

    Tong, Chao; He, Wenbo; Niu, Jianwei; Xie, Zhongyu

    2016-02-01

    The spread and diffusion of information has become one of the hot issues in today's social network analysis. To analyze the spread of online social network information and the attribute of cascade, in this paper, we discuss the spread of two kinds of users' decisions for city-wide activities, namely the "want to take part in the activity" and "be interested in the activity", based on the users' attention in "DouBan" and the data of the city-wide activities. We analyze the characteristics of the activity-decision's spread in these aspects: the scale and scope of the cascade subgraph, the structure characteristic of the cascade subgraph, the topological attribute of spread tree, and the occurrence frequency of cascade subgraph. On this basis, we propose a new information spread model. Based on the classical independent diffusion model, we introduce three mechanisms, equal probability, similarity of nodes, and popularity of nodes, which can generate and affect the spread of information. Besides, by conducting the experiments in six different kinds of network data set, we compare the effects of three mechanisms above mentioned, totally six specific factors, on the spread of information, and put forward that the node's popularity plays an important role in the information spread.

  18. Jumpstarting the Information Design for a Community Network.

    ERIC Educational Resources Information Center

    Vaughan, Misha W.; Schwartz, Nancy

    1999-01-01

    Describes the process and outcome of an effort to develop an information design for a community network's Web site. Topics include user-centered design techniques, diffusion of innovations literature, targeting innovators and early adopters, the use of focus groups, and usability tests. (Author/LRW)

  19. Copyright Aspects of CATV as Utilized in Information Networking.

    ERIC Educational Resources Information Center

    Bachrach, Morton W.

    It can be expected that Cable Antenna Television (CATV) systems will serve as conduits for tomorrow's information networks. CATV holds promise for fulfilling this need because of its broad-band multi-channel capability. CATV can be thought of as having two basic functions. i.e., retransmitting TV programs, and initiating its own programs and…

  20. Maximizing Information Diffusion in the Cyber-physical Integrated Network.

    PubMed

    Lu, Hongliang; Lv, Shaohe; Jiao, Xianlong; Wang, Xiaodong; Liu, Juan

    2015-11-11

    Nowadays, our living environment has been embedded with smart objects, such as smart sensors, smart watches and smart phones. They make cyberspace and physical space integrated by their abundant abilities of sensing, communication and computation, forming a cyber-physical integrated network. In order to maximize information diffusion in such a network, a group of objects are selected as the forwarding points. To optimize the selection, a minimum connected dominating set (CDS) strategy is adopted. However, existing approaches focus on minimizing the size of the CDS, neglecting an important factor: the weight of links. In this paper, we propose a distributed maximizing the probability of information diffusion (DMPID) algorithm in the cyber-physical integrated network. Unlike previous approaches that only consider the size of CDS selection, DMPID also considers the information spread probability that depends on the weight of links. To weaken the effects of excessively-weighted links, we also present an optimization strategy that can properly balance the two factors. The results of extensive simulation show that DMPID can nearly double the information diffusion probability, while keeping a reasonable size of selection with low overhead in different distributed networks.

  1. The Implications of a Mixed Media Network for Information Interchange.

    ERIC Educational Resources Information Center

    Meaney, John W.

    A mixed media network for information interchange is what we are always likely to have. Amid the current permutations of the storage and distribution media we see the emergence of two trends -- toward the common denominators of electronic display on the TV system and of digital processing and control. The economic implications of a mixed network…

  2. Audit Trail Management System in Community Health Care Information Network.

    PubMed

    Nakamura, Naoki; Nakayama, Masaharu; Nakaya, Jun; Tominaga, Teiji; Suganuma, Takuo; Shiratori, Norio

    2015-01-01

    After the Great East Japan Earthquake we constructed a community health care information network system. Focusing on the authentication server and portal server capable of SAML&ID-WSF, we proposed an audit trail management system to look over audit events in a comprehensive manner. Through implementation and experimentation, we verified the effectiveness of our proposed audit trail management system.

  3. Installing an Integrated Information System in a Centralized Network.

    ERIC Educational Resources Information Center

    Mendelson, Andrew D.

    1992-01-01

    Many schools are looking at ways to centralize the distribution and retrieval of video, voice, and data transmissions in an integrate information system (IIS). A centralized system offers greater control of hardware and software. Describes media network planning to retrofit an Illinois' high school with a fiber optic-based IIS. (MLF)

  4. Future Prospects for Network-Based Multimedia Information Retrieval.

    ERIC Educational Resources Information Center

    Bulick, Stephen

    1990-01-01

    Discusses the current status of 4 developments that will determine the emergence of generally available multimedia information services: high-bandwidth networks; inexpensive user appliances capable of handling multimedia; adoption of standards for representation, compression, packaging, and transmission; and development of a corpus of multimedia…

  5. Networking the Land: Rural America in the Information Age.

    ERIC Educational Resources Information Center

    Conte, Christopher

    This report describes 10 projects funded by the federal Technology Opportunities Program, in which people in isolated regions are finding ways to connect to new information networks and are reaping social, economic, and educational benefits. In the sprawling Navajo Nation, where many families lack even basic telephone service, local tribal…

  6. Quantifying and Assuring Information Transfer in Dynamic Heterogeneous Wireless Networks

    DTIC Science & Technology

    2012-07-31

    TERMS 15. NUMBER OF PAGES:12 16. PRICE CODE 17. SECURITY CLASSIFICATION OF REPORT Unclassified 18. SECURITY CLASSIFICATION OF...THIS PAGE Unclassified 19. SECURITY CLASSIFICATION OF ABSTRACT Unclassified 20. LIMITATION OF ABSTRACT NSN 7540-01-280-5500...for assurance of information transfer. Proposed and studied the use of Network Coding for secure communication in wireless ad hoc and sensor

  7. Regional Industry Workforce Development: The Gulf Coast Petrochemical Information Network

    ERIC Educational Resources Information Center

    Hodgin, Johnette; Muha, Susan

    2008-01-01

    The Gulf Coast Petrochemical Information Network (GC-PIN) is a workforce development partnership among industry businesses and area institutions of higher education in the four-county Gulf Coast region. GC-PIN partners develop new industry-specific curricula, foster industry career awareness, and retrain existing employees in new technologies.

  8. Community Participation and Social Networks: An Information Package.

    ERIC Educational Resources Information Center

    Walker, Pam

    This information packet presents five readings about community participation and social networks of people with developmental disabilities and an annotated bibliography. The first paper, "Building Stronger Communities for All: Thoughts about Community Participation for People with Developmental Disabilities" (Robert Bogdan and Steven J. Taylor),…

  9. Self-Organized Information Processing in Neuronal Networks: Replacing Layers in Deep Networks by Dynamics

    NASA Astrophysics Data System (ADS)

    Kirst, Christoph

    It is astonishing how the sub-parts of a brain co-act to produce coherent behavior. What are mechanism that coordinate information processing and communication and how can those be changed flexibly in order to cope with variable contexts? Here we show that when information is encoded in the deviations around a collective dynamical reference state of a recurrent network the propagation of these fluctuations is strongly dependent on precisely this underlying reference. Information here 'surfs' on top of the collective dynamics and switching between states enables fast and flexible rerouting of information. This in turn affects local processing and consequently changes in the global reference dynamics that re-regulate the distribution of information. This provides a generic mechanism for self-organized information processing as we demonstrate with an oscillatory Hopfield network that performs contextual pattern recognition. Deep neural networks have proven to be very successful recently. Here we show that generating information channels via collective reference dynamics can effectively compress a deep multi-layer architecture into a single layer making this mechanism a promising candidate for the organization of information processing in biological neuronal networks.

  10. 78 FR 75959 - Agency Information Collection (Regulation on Reduction of Nursing Shortages in State Homes...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-13

    ...; Application for Assistance for Hiring and Retaining Nurses at State Homes) Activities Under OMB Review AGENCY... Assistance for Hiring and Retaining Nurses at State Homes, VA Form 10-0430. Type of Review: Revision of... to assist in the hiring and retention of nurses at their facility. VA will use the data collected...

  11. 78 FR 55778 - Proposed Information Collection (Regulation on Reduction of Nursing Shortages in State Homes...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-11

    ...; Application for Assistance for Hiring and Retaining Nurses at State Homes) Activity: Comment Request AGENCY... retain nurses at their facility. DATES: Written comments and recommendations on the proposed collection... Retaining Nurses at State Homes, VA Form 10-0430. OMB Control Number: 2900-0709. Type of Review: Revision...

  12. 75 FR 62185 - Proposed Information Collection (Regulation on Reduction of Nursing Shortages in State Homes...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-07

    ...; Application for Assistance for Hiring and Retaining Nurses at State Homes) Activities Under OMB Review AGENCY... Retaining Nurses at State Homes, VA Form 10-0430. OMB Control Number: 2900-0709. Type of Review: Extension... request funding to assist in the hiring and retention of nurses at their facility. VA will use the...

  13. 75 FR 45207 - Proposed Information Collection (Regulation on Reduction of Nursing Shortages in State Homes...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-02

    ...; Application for Assistance for Hiring and Retaining Nurses at State Homes) Activity: Comment Request AGENCY... retain nurses at their facility. DATES: Written comments and recommendations on the proposed collection... Retaining Nurses at State Homes, VA Form 10-0430. OMB Control Number: 2900-0709. Type of Review:...

  14. Manufactured Homes as Affordable Housing in Rural Areas. Rural Information Center Publication Series, No. 5.

    ERIC Educational Resources Information Center

    Czerniak, Robert, Comp.

    This bibliography includes citations of approximately 60 books and articles pertaining to manufactured housing or "mobile homes," an important segment of the national housing industry. The availability of manufactured homes for low and moderate income groups is significant in light of skyrocketing new-housing costs. The South leads the nation with…

  15. Examining the Security Awareness, Information Privacy, and the Security Behaviors of Home Computer Users

    ERIC Educational Resources Information Center

    Edwards, Keith

    2015-01-01

    Attacks on computer systems continue to be a problem. The majority of the attacks target home computer users. To help mitigate the attacks some companies provide security awareness training to their employees. However, not all people work for a company that provides security awareness training and typically, home computer users do not have the…

  16. 77 FR 323 - Agency Information Collection (Application in Acquiring Specially Adapted Housing or Special Home...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-01-04

    ... Adaptation Grant) Activity Under OMB Review AGENCY: Veterans Benefits Administration, Department of Veterans... Adapted Housing or Special Home Adaptation Grant, VA Form 26-4555. OMB Control Number: 2900-0132. Type of... special home adaptation grant. VA will use the data collected to determine the veteran's eligibility....

  17. Making the Most of Your Energy Dollars in Home Heating & Cooling. NBS Consumer Information Series 8.

    ERIC Educational Resources Information Center

    Jacobs, Madeleine; Petersen, Stephen R.

    This pamphlet is a homeowner's guide to home weatherization. It provides a step-by-step energy audit that anyone can use to help determine the insulation needs of their home. This is not a "how-to-do-it" booklet, but is a guide by which homeowners can determine the best combination of improvements for their house, climate, and fuel…

  18. Transforming Data into Practical Information: Using Consumer Input to Improve Home-Care Services

    ERIC Educational Resources Information Center

    Applebaum, Robert; Kunkel, Suzanne; Wilson, Ken

    2007-01-01

    Purpose: As funds have increased for the provision of in-home care, so too have concerns about the quality of services. In response, care management agencies and home-care providers have developed an array of monitoring activities designed to ensure the quality of services. In this article, we show how an area agency on aging both collected and…

  19. Network model of human aging: Frailty limits and information measures

    NASA Astrophysics Data System (ADS)

    Farrell, Spencer G.; Mitnitski, Arnold B.; Rockwood, Kenneth; Rutenberg, Andrew D.

    2016-11-01

    Aging is associated with the accumulation of damage throughout a persons life. Individual health can be assessed by the Frailty Index (FI). The FI is calculated simply as the proportion f of accumulated age-related deficits relative to the total, leading to a theoretical maximum of f ≤1 . Observational studies have generally reported a much more stringent bound, with f ≤fmax<1 . The value of fmax in observational studies appears to be nonuniversal, but fmax≈0.7 is often reported. A previously developed network model of individual aging was unable to recover fmax<1 while retaining the other observed phenomenology of increasing f and mortality rates with age. We have developed a computationally accelerated network model that also allows us to tune the scale-free network exponent α . The network exponent α significantly affects the growth of mortality rates with age. However, we are only able to recover fmax by also introducing a deficit sensitivity parameter 1 -q , which is equivalent to a false-negative rate q . Our value of q =0.3 is comparable to finite sensitivities of age-related deficits with respect to mortality that are often reported in the literature. In light of nonzero q , we use mutual information I to provide a nonparametric measure of the predictive value of the FI with respect to individual mortality. We find that I is only modestly degraded by q <1 , and this degradation is mitigated when increasing number of deficits are included in the FI. We also find that the information spectrum, i.e., the mutual information of individual deficits versus connectivity, has an approximately power-law dependence that depends on the network exponent α . Mutual information I is therefore a useful tool for characterizing the network topology of aging populations.

  20. Analysis of bend insensitive liquid core optical fiber for broadband network and fiber-to-the-home applications

    NASA Astrophysics Data System (ADS)

    Palodiya, Vikram; Raghuwanshi, Sanjeev Kumar

    2016-02-01

    In this paper, we analyze the guided properties of liquid core optical fibers for fiber-to-thehome application. Fiber to the Home is advance technology to give unlimited bandwidth and high speed broadband network for communication. Fiber to the Home technology refers to the installation and use of bend insensitive optical fiber cables. The liquid core optical fiber has a simple core and cladding structure. This fiber achieves high relative refractive index difference among the core and cladding is proving to be bending insensitive. The single mode condition and the group velocity dispersion, mode field diameter and the bending loss of single mode fiber are studied theoretically. Compare with traditional silica optical fiber. Liquid core optical fiber has much smaller bending loss of than traditional silica fibers. Liquid core optical fiber shows unique properties, such as more confided guided mode, low bending loss and large non linear parameters in the visible and infrared region. This type of fiber used in fiber -to-the-home applications, Broadband network and also for sensing applications.

  1. Feedback from users of energy efficiency information on the Internet: Analysis of the US CADDET home page

    SciTech Connect

    Brown, M.A.; Voss, M.K.

    1996-03-01

    This paper describes the US experience to date with providing energy efficiency information from the Center for the Analysis and Dissemination of Demonstrated Energy Technologies (CADDET) on the Internet. The paper begins by describing the way that information is displayed in the US CADDET home page system. Statistics are then provided on numbers and types of users of the home page. Next we describe the frequency with which different types of CADDET information have been accessed and summarize the feedback provided by users. Drawing on this experience with the US CADDET home page system, the authors conclude that energy efficiency information systems on the World Wide Web can contribute significantly to the goals of CADDET and other information outreach programs. However, to reach a wider range of audiences, Internet systems need to be supplemented by other dissemination efforts aimed at reaching individuals in countries and organizations that are not currently using Internet services. In addition, more personal and customized information sources are needed to provide users with the types of assistance guidance that may be required to translate knowledge of a technology`s technical financial performance, into a decision to adopt the technology.

  2. Running a network on a shoestring: the Global Invasive Species Information Network

    USGS Publications Warehouse

    Jarnevich, Catherine S.; Simpson, Annie; Graham, James J; Newman, Gregory J.; Bargeron, Chuck T.

    2015-01-01

    The Global Invasive Species Information Network (GISIN) was conceptualized in 2004 to aggregate and disseminate invasive species data in a standardized way. A decade later the GISIN community has implemented a data portal and three of six GISIN data aggregation models in the GISIN data exchange Protocol, including invasive species status information, resource URLs, and occurrence data. The portal is based on a protocol developed by representatives from 15 countries and 27 organizations of the global invasive species information management community. The GISIN has 19 data providers sharing 34,343 species status records, 1,693,073 occurrences, and 15,601 resource URLs. While the GISIN's goal is to be global, much of its data and funding are provided by the United States. Several initiatives use the GISIN as their information backbone, such as the Great Lakes Early Detection Network (GLEDN) and the North American Invasive Species Network (NAISN). Here we share several success stories and organizational challenges that remain.

  3. DELIVERING TIMELY ENVIRONMENTAL INFORMATION TO YOUR COMMUNITY: THE BOULDER AREA SUSTAINABILITY INFORMATION NETWORK: OTHER

    EPA Science Inventory

    NRMRL-CIN-1577 Petersen*, D., Barber, L., Dilworth, G, Fiebelkorn, T., McCaffrey, M., Murphy, S., Rudkin, C., Scott, D., and Waterman, J. Delivering Timely Environmental Information to your Community: The Boulder Area Sustainability Information Network. EPA/625/C-01/010. The Te...

  4. Estimating topological properties of weighted networks from limited information.

    PubMed

    Cimini, Giulio; Squartini, Tiziano; Gabrielli, Andrea; Garlaschelli, Diego

    2015-10-01

    A problem typically encountered when studying complex systems is the limitedness of the information available on their topology, which hinders our understanding of their structure and of the dynamical processes taking place on them. A paramount example is provided by financial networks, whose data are privacy protected: Banks publicly disclose only their aggregate exposure towards other banks, keeping individual exposures towards each single bank secret. Yet, the estimation of systemic risk strongly depends on the detailed structure of the interbank network. The resulting challenge is that of using aggregate information to statistically reconstruct a network and correctly predict its higher-order properties. Standard approaches either generate unrealistically dense networks, or fail to reproduce the observed topology by assigning homogeneous link weights. Here, we develop a reconstruction method, based on statistical mechanics concepts, that makes use of the empirical link density in a highly nontrivial way. Technically, our approach consists in the preliminary estimation of node degrees from empirical node strengths and link density, followed by a maximum-entropy inference based on a combination of empirical strengths and estimated degrees. Our method is successfully tested on the international trade network and the interbank money market, and represents a valuable tool for gaining insights on privacy-protected or partially accessible systems.

  5. Estimating topological properties of weighted networks from limited information

    NASA Astrophysics Data System (ADS)

    Cimini, Giulio; Squartini, Tiziano; Gabrielli, Andrea; Garlaschelli, Diego

    2015-10-01

    A problem typically encountered when studying complex systems is the limitedness of the information available on their topology, which hinders our understanding of their structure and of the dynamical processes taking place on them. A paramount example is provided by financial networks, whose data are privacy protected: Banks publicly disclose only their aggregate exposure towards other banks, keeping individual exposures towards each single bank secret. Yet, the estimation of systemic risk strongly depends on the detailed structure of the interbank network. The resulting challenge is that of using aggregate information to statistically reconstruct a network and correctly predict its higher-order properties. Standard approaches either generate unrealistically dense networks, or fail to reproduce the observed topology by assigning homogeneous link weights. Here, we develop a reconstruction method, based on statistical mechanics concepts, that makes use of the empirical link density in a highly nontrivial way. Technically, our approach consists in the preliminary estimation of node degrees from empirical node strengths and link density, followed by a maximum-entropy inference based on a combination of empirical strengths and estimated degrees. Our method is successfully tested on the international trade network and the interbank money market, and represents a valuable tool for gaining insights on privacy-protected or partially accessible systems.

  6. Estimating topological properties of weighted networks from limited information

    NASA Astrophysics Data System (ADS)

    Gabrielli, Andrea; Cimini, Giulio; Garlaschelli, Diego; Squartini, Angelo

    A typical problem met when studying complex systems is the limited information available on their topology, which hinders our understanding of their structural and dynamical properties. A paramount example is provided by financial networks, whose data are privacy protected. Yet, the estimation of systemic risk strongly depends on the detailed structure of the interbank network. The resulting challenge is that of using aggregate information to statistically reconstruct a network and correctly predict its higher-order properties. Standard approaches either generate unrealistically dense networks, or fail to reproduce the observed topology by assigning homogeneous link weights. Here we develop a reconstruction method, based on statistical mechanics concepts, that exploits the empirical link density in a highly non-trivial way. Technically, our approach consists in the preliminary estimation of node degrees from empirical node strengths and link density, followed by a maximum-entropy inference based on a combination of empirical strengths and estimated degrees. Our method is successfully tested on the international trade network and the interbank money market, and represents a valuable tool for gaining insights on privacy-protected or partially accessible systems. Acknoweledgement to ``Growthcom'' ICT - EC project (Grant No: 611272) and ``Crisislab'' Italian Project.

  7. 75 FR 55360 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-10

    ... Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010 Strategic Plan AGENCY: The National Coordination Office (NCO) for Networking and Information Technology Research... and Information Technology Research and Development (NITRD) requests comments from the...

  8. The Weight-control Information Network (WIN) | NIH MedlinePlus the Magazine

    MedlinePlus

    ... Javascript on. Feature: Reducing Childhood Obesity The Weight-control Information Network (WIN) Past Issues / Spring - Summer 2010 ... overweight children, here are tips from the Weight-control Information Network (WIN), an information service of the ...

  9. The use of information and communication technology to meet chronically ill patients' needs when living at home.

    PubMed

    Skär, Lisa; Söderberg, Siv

    2011-01-01

    The aim of the study was to describe influences, benefits, and limitations in using information and communication technology to meet chronically ill patients' needs when living at home. The study is a descriptive, exploratory designed pilot study and the intervention was performed using an electronic communication program enabling communication between ill persons and the district nurse in real time by web cam pictures and sound. The participant used the programme once or twice a week from February to August 2008. Data were collected by means of repeated interviews and logbook notes, and were subjected to qualitative content analysis. The results showed that all participants appreciated being able to communicate regardless of time and place and their experiences of using information and communication technology revealed that it created feelings of safety and security. The information and communication technology became a tool in their communication and improved nursing care among seriously chronically ill persons living at home.

  10. Home-Based Exercise

    MedlinePlus

    ... a Vestibular Disorder Family Support Network Desorden Vestibular/Vértigo - En Español הפרעות ... What is a Home VRT program? During vestibular rehabilitation therapy (VRT), home exercises ...

  11. Home Health Aides

    MedlinePlus

    ... do the following: Assist clients in their daily personal tasks, such as bathing or dressing Provide basic ... social networks and communities Home health aides, unlike personal care aides , typically work for certified home health ...

  12. Using social network analysis to inform disease control interventions.

    PubMed

    Marquetoux, Nelly; Stevenson, Mark A; Wilson, Peter; Ridler, Anne; Heuer, Cord

    2016-04-01

    Contact patterns between individuals are an important determinant for the spread of infectious diseases in populations. Social network analysis (SNA) describes contact patterns and thus indicates how infectious pathogens may be transmitted. Here we explore network characteristics that may inform the development of disease control programes. This study applies SNA methods to describe a livestock movement network of 180 farms in New Zealand from 2006 to 2010. We found that the number of contacts was overall consistent from year to year, while the choice of trading partners tended to vary. This livestock movement network illustrated how a small number of farms central to the network could play a potentially dominant role for the spread of infection in this population. However, fragmentation of the network could easily be achieved by "removing" a small proportion of farms serving as bridges between otherwise isolated clusters, thus decreasing the probability of large epidemics. This is the first example of a comprehensive analysis of pastoral livestock movements in New Zealand. We conclude that, for our system, recording and exploiting livestock movements can contribute towards risk-based control strategies to prevent and monitor the introduction and the spread of infectious diseases in animal populations.

  13. Rich club neurons dominate Information Transfer in local cortical networks

    NASA Astrophysics Data System (ADS)

    Nigam, Sunny; Shimono, Masanori; Sporns, Olaf; Beggs, John

    2015-03-01

    The performance of complex networks depends on how they route their traffic. It is unknown how information is transferred in local cortical networks of hundreds of closely-spaced neurons. To address this, it is necessary to record simultaneously from hundreds of neurons at a spacing that matches typical axonal connection distances, and at a temporal resolution that matches synaptic delays. We used a 512 electrode array (60 μm spacing) to record spontaneous activity at 20 kHz, simultaneously from up to 700 neurons in slice cultures of mouse somatosensory cortex for 1 hr at a time. We used transfer entropy to quantify directed information transfer (IT) between pairs of neurons. We found an approximately lognormal distribution of firing rates as reported in in-vivo. Pairwise information transfer strengths also were nearly lognormally distributed, similar to synaptic strengths. 20% of the neurons accounted for 70% of the total IT coming into, and going out of the network and were defined as rich nodes. These rich nodes were more densely and strongly connected to each other expected by chance, forming a rich club. This highly uneven distribution of IT has implications for the efficiency and robustness of local cortical networks, and gives clues to the plastic processes that shape them. JSPS.

  14. Impact of Repeated Exposures on Information Spreading in Social Networks.

    PubMed

    Zhou, Cangqi; Zhao, Qianchuan; Lu, Wenbo

    2015-01-01

    Clustered structure of social networks provides the chances of repeated exposures to carriers with similar information. It is commonly believed that the impact of repeated exposures on the spreading of information is nontrivial. Does this effect increase the probability that an individual forwards a message in social networks? If so, to what extent does this effect influence people's decisions on whether or not to spread information? Based on a large-scale microblogging data set, which logs the message spreading processes and users' forwarding activities, we conduct a data-driven analysis to explore the answer to the above questions. The results show that an overwhelming majority of message samples are more probable to be forwarded under repeated exposures, compared to those under only a single exposure. For those message samples that cover various topics, we observe a relatively fixed, topic-independent multiplier of the willingness of spreading when repeated exposures occur, regardless of the differences in network structure. We believe that this finding reflects average people's intrinsic psychological gain under repeated stimuli. Hence, it makes sense that the gain is associated with personal response behavior, rather than network structure. Moreover, we find that the gain is robust against the change of message popularity. This finding supports that there exists a relatively fixed gain brought by repeated exposures. Based on the above findings, we propose a parsimonious model to predict the saturated numbers of forwarding activities of messages. Our work could contribute to better understandings of behavioral psychology and social media analytics.

  15. Part mutual information for quantifying direct associations in networks.

    PubMed

    Zhao, Juan; Zhou, Yiwei; Zhang, Xiujun; Chen, Luonan

    2016-05-03

    Quantitatively identifying direct dependencies between variables is an important task in data analysis, in particular for reconstructing various types of networks and causal relations in science and engineering. One of the most widely used criteria is partial correlation, but it can only measure linearly direct association and miss nonlinear associations. However, based on conditional independence, conditional mutual information (CMI) is able to quantify nonlinearly direct relationships among variables from the observed data, superior to linear measures, but suffers from a serious problem of underestimation, in particular for those variables with tight associations in a network, which severely limits its applications. In this work, we propose a new concept, "partial independence," with a new measure, "part mutual information" (PMI), which not only can overcome the problem of CMI but also retains the quantification properties of both mutual information (MI) and CMI. Specifically, we first defined PMI to measure nonlinearly direct dependencies between variables and then derived its relations with MI and CMI. Finally, we used a number of simulated data as benchmark examples to numerically demonstrate PMI features and further real gene expression data from Escherichia coli and yeast to reconstruct gene regulatory networks, which all validated the advantages of PMI for accurately quantifying nonlinearly direct associations in networks.

  16. Conceptual Framework for Developing a Diabetes Information Network

    PubMed Central

    Riazi, Hossein; Langarizadeh, Mostafa; Larijani, Bagher; Shahmoradi, Leila

    2016-01-01

    Objective: To provide a conceptual framework for managing diabetic patient care, and creating an information network for clinical research. Background: A wide range of information technology (IT) based interventions such as distance learning, diabetes registries, personal or electronic health record systems, clinical information systems, and clinical decision support systems have so far been used in supporting diabetic care. Previous studies demonstrated that IT could improve diabetes care at its different aspects. There is however no comprehensive conceptual framework that defines how different IT applications can support diverse aspects of this care. Therefore, a conceptual framework that combines different IT solutions into a wide information network for improving care processes and for research purposes is widely lacking. In this study we describe the theoretical underpin of a big project aiming at building a wide diabetic information network namely DIANET. Research design and methods: A literature review and a survey of national programs and existing regulations for diabetes management was conducted in order to define different aspects of diabetic care that should be supported by IT solutions. Both qualitative and quantitative research methods were used in this study. In addition to the results of a previous systematic literature review, two brainstorming and three expert panel sessions were conducted to identify requirements of a comprehensive information technology solution. Based on these inputs, the requirements for creating a diabetes information network were identified and used to create a questionnaire based on 9-point Likert scale. The questionnaire was finalized after removing some items based on calculated content validity ratio and content validity index coefficients. Cronbach’s alpha reliability coefficient was also calculated (αTotal= 0.98, P<0.05, CI=0.95). The final questionnaire was containing 45 items. It was sent to 13 clinicians at two

  17. The Deep Space Network information system in the year 2000

    NASA Technical Reports Server (NTRS)

    Markley, R. W.; Beswick, C. A.

    1992-01-01

    The Deep Space Network (DSN), the largest, most sensitive scientific communications and radio navigation network in the world, is considered. Focus is made on the telemetry processing, monitor and control, and ground data transport architectures of the DSN ground information system envisioned for the year 2000. The telemetry architecture will be unified from the front-end area to the end user. It will provide highly automated monitor and control of the DSN, automated configuration of support activities, and a vastly improved human interface. Automated decision support systems will be in place for DSN resource management, performance analysis, fault diagnosis, and contingency management.

  18. An information-based network approach for protein classification

    PubMed Central

    Wan, Xiaogeng; Zhao, Xin; Yau, Stephen S. T.

    2017-01-01

    Protein classification is one of the critical problems in bioinformatics. Early studies used geometric distances and polygenetic-tree to classify proteins. These methods use binary trees to present protein classification. In this paper, we propose a new protein classification method, whereby theories of information and networks are used to classify the multivariate relationships of proteins. In this study, protein universe is modeled as an undirected network, where proteins are classified according to their connections. Our method is unsupervised, multivariate, and alignment-free. It can be applied to the classification of both protein sequences and structures. Nine examples are used to demonstrate the efficiency of our new method. PMID:28350835

  19. Basic limits on protocol information in data communications networks

    NASA Technical Reports Server (NTRS)

    Gallager, R. G.

    1976-01-01

    The paper considers basic limitations on the amount of protocol information that must be transmitted in a data communication network to keep track of source and receiver addresses and of the starting and stopping of messages. Assuming Poisson message arrivals between each communicating source-receiver pair, a lower bound is found on the required protocol information for message. This lower bound is the sum of two terms, one for the message-length information, which depends only on the distribution of message lengths, and the other for the message-start information, which depends only on the product of the source-receiver pair arrival rate and the expected delay for transmitting the message. Two strategies are developed which, in the limit of large numbers of sources and receivers, almost meet the lower bound on protocol information.

  20. Network information security in a phase III Integrated Academic Information Management System (IAIMS).

    PubMed Central

    Shea, S.; Sengupta, S.; Crosswell, A.; Clayton, P. D.

    1992-01-01

    The developing Integrated Academic Information System (IAIMS) at Columbia-Presbyterian Medical Center provides data sharing links between two separate corporate entities, namely Columbia University Medical School and The Presbyterian Hospital, using a network-based architecture. Multiple database servers with heterogeneous user authentication protocols are linked to this network. "One-stop information shopping" implies one log-on procedure per session, not separate log-on and log-off procedures for each server or application used during a session. These circumstances provide challenges at the policy and technical levels to data security at the network level and insuring smooth information access for end users of these network-based services. Five activities being conducted as part of our security project are described: (1) policy development; (2) an authentication server for the network; (3) Kerberos as a tool for providing mutual authentication, encryption, and time stamping of authentication messages; (4) a prototype interface using Kerberos services to authenticate users accessing a network database server; and (5) a Kerberized electronic signature. PMID:1336414

  1. Mutual information model for link prediction in heterogeneous complex networks

    PubMed Central

    Shakibian, Hadi; Moghadam Charkari, Nasrollah

    2017-01-01

    Recently, a number of meta-path based similarity indices like PathSim, HeteSim, and random walk have been proposed for link prediction in heterogeneous complex networks. However, these indices suffer from two major drawbacks. Firstly, they are primarily dependent on the connectivity degrees of node pairs without considering the further information provided by the given meta-path. Secondly, most of them are required to use a single and usually symmetric meta-path in advance. Hence, employing a set of different meta-paths is not straightforward. To tackle with these problems, we propose a mutual information model for link prediction in heterogeneous complex networks. The proposed model, called as Meta-path based Mutual Information Index (MMI), introduces meta-path based link entropy to estimate the link likelihood and could be carried on a set of available meta-paths. This estimation measures the amount of information through the paths instead of measuring the amount of connectivity between the node pairs. The experimental results on a Bibliography network show that the MMI obtains high prediction accuracy compared with other popular similarity indices. PMID:28344326

  2. GD Friend, Inc. d/b/a Everlast Home Energy Solutions Information Sheet

    EPA Pesticide Factsheets

    GD Friend, Inc. d/b/a Everlast Home Energy Solutions (the Company) is located in Anaheim, California. The settlement involves renovation activities conducted at properties constructed prior to 1978, located in Anaheim and La Verne, California.

  3. Alumna World, Inc. d/b/a Home Pro Information Sheet

    EPA Pesticide Factsheets

    Alumna World, Inc. d/b/a Home Pro (the Company) is located in Joplin, Missouri. The settlement involves renovation activities conducted at residential properties constructed prior to 1978, located in Carthage and Joplin, Missouri.

  4. Clinard Company d/b/a Clinard Home Improvement Information Sheet

    EPA Pesticide Factsheets

    Clinard Company d/b/a Clinard Home Improvement (the Company) is located in Nashville, Tennessee. The settlement involves renovation activities conducted at properties constructed prior to 1978, located in Tennessee.

  5. Query-Based Outlier Detection in Heterogeneous Information Networks.

    PubMed

    Kuck, Jonathan; Zhuang, Honglei; Yan, Xifeng; Cam, Hasan; Han, Jiawei

    2015-03-01

    Outlier or anomaly detection in large data sets is a fundamental task in data science, with broad applications. However, in real data sets with high-dimensional space, most outliers are hidden in certain dimensional combinations and are relative to a user's search space and interest. It is often more effective to give power to users and allow them to specify outlier queries flexibly, and the system will then process such mining queries efficiently. In this study, we introduce the concept of query-based outlier in heterogeneous information networks, design a query language to facilitate users to specify such queries flexibly, define a good outlier measure in heterogeneous networks, and study how to process outlier queries efficiently in large data sets. Our experiments on real data sets show that following such a methodology, interesting outliers can be defined and uncovered flexibly and effectively in large heterogeneous networks.

  6. Maximum likelihood: Extracting unbiased information from complex networks

    NASA Astrophysics Data System (ADS)

    Garlaschelli, Diego; Loffredo, Maria I.

    2008-07-01

    The choice of free parameters in network models is subjective, since it depends on what topological properties are being monitored. However, we show that the maximum likelihood (ML) principle indicates a unique, statistically rigorous parameter choice, associated with a well-defined topological feature. We then find that, if the ML condition is incompatible with the built-in parameter choice, network models turn out to be intrinsically ill defined or biased. To overcome this problem, we construct a class of safely unbiased models. We also propose an extension of these results that leads to the fascinating possibility to extract, only from topological data, the “hidden variables” underlying network organization, making them “no longer hidden.” We test our method on World Trade Web data, where we recover the empirical gross domestic product using only topological information.

  7. Visual sensory networks and effective information transfer in animal groups.

    PubMed

    Strandburg-Peshkin, Ariana; Twomey, Colin R; Bode, Nikolai W F; Kao, Albert B; Katz, Yael; Ioannou, Christos C; Rosenthal, Sara B; Torney, Colin J; Wu, Hai Shan; Levin, Simon A; Couzin, Iain D

    2013-09-09

    Social transmission of information is vital for many group-living animals, allowing coordination of motion and effective response to complex environments. Revealing the interaction networks underlying information flow within these groups is a central challenge. Previous work has modeled interactions between individuals based directly on their relative spatial positions: each individual is considered to interact with all neighbors within a fixed distance (metric range), a fixed number of nearest neighbors (topological range), a 'shell' of near neighbors (Voronoi range), or some combination (Figure 1A). However, conclusive evidence to support these assumptions is lacking. Here, we employ a novel approach that considers individual movement decisions to be based explicitly on the sensory information available to the organism. In other words, we consider that while spatial relations do inform interactions between individuals, they do so indirectly, through individuals' detection of sensory cues. We reconstruct computationally the visual field of each individual throughout experiments designed to investigate information propagation within fish schools (golden shiners, Notemigonus crysoleucas). Explicitly considering visual sensing allows us to more accurately predict the propagation of behavioral change in these groups during leadership events. Furthermore, we find that structural properties of visual interaction networks differ markedly from those of metric and topological counterparts, suggesting that previous assumptions may not appropriately reflect information flow in animal groups.

  8. Predicting changes of reaction networks with partial kinetic information.

    PubMed

    Niehren, Joachim; Versari, Cristian; John, Mathias; Coutte, François; Jacques, Philippe

    2016-11-01

    We wish to predict changes of reaction networks with partial kinetic information that lead to target changes of their steady states. The changes may be either increases or decreases of influxes, reaction knockouts, or multiple changes of these two kinds. Our prime applications are knockout prediction tasks for metabolic and regulation networks. In a first step, we propose a formal modeling language for reaction networks with partial kinetic information. The modeling language has a graphical syntax reminiscent to Petri nets. Each reaction in a model comes with a partial description of its kinetics, based on a similarity relation on kinetic functions that we introduce. Such partial descriptions are able to model the regulation of existing metabolic networks for which precise kinetic knowledge is usually not available. In a second step, we develop prediction algorithms that can be applied to any reaction network modeled in our language. These algorithms perform qualitative reasoning based on abstract interpretation, by which the kinetic unknowns are abstracted away. Given a reaction network, abstract interpretation produces a finite domain constraint in a novel class. We show how to solve these finite domain constraints with an existing finite domain constraint solver, and how to interpret the solution sets as predictions of multiple reaction knockouts that lead to a desired change of the steady states. We have implemented the prediction algorithm and integrated it into a prediction tool. This journal article extends the two conference papers John et al. (2013) and Niehren et al. (2015) while adding a new prediction algorithm for multiple gene knockouts. An application to single gene knockout prediction for surfactin overproduction was presented in Coutte et al. (2015). It illustrates the adequacy of the model-based predictions made by our algorithm in the wet lab.

  9. Network representation of dynamical systems: Connectivity patterns, information and predictability

    NASA Astrophysics Data System (ADS)

    García Cantú Ros, A.; Forti, G.; Nicolis, G.

    2013-08-01

    The present work elaborates on predictability and information aspects of dynamical systems, in connection with the connectivity features of their network representation. The basic idea underlying this work is to map the set of coarse-grained states of a dynamical system onto a set of network nodes and transitions between them onto a set of network links. Based on the vertex centrality of these nodes, we define (a) a local indicator of predictability, (b) a measure of the information that is available about the state of the system after one transition occurring within an arbitrary long time window and (c) an upper bound for the time horizon of predictability. We address the cases of the tent and the cusp maps, as representative examples of Markov and non-Markov processes. An analytical exact result for the horizon of predictability is obtained for the tent map, as well as for its higher iterates, and its connection with the corresponding network diameters is discussed. Similarly, analytical expressions are derived for the bounds of the predictability horizon in the case of the cusp map.

  10. Information spread in networks: Games, optimal control, and stabilization

    NASA Astrophysics Data System (ADS)

    Khanafer, Ali

    This thesis focuses on designing efficient mechanisms for controlling information spread in networks. We consider two models for information spread. The first one is the well-known distributed averaging dynamics. The second model is a nonlinear one that describes virus spread in computer and biological networks. We seek to design optimal, robust, and stabilizing controllers under practical constraints. For distributed averaging networks, we study the interaction between a network designer and an adversary. We consider two types of attacks on the network. In Attack-I, the adversary strategically disconnects a set of links to prevent the nodes from reaching consensus. Meanwhile, the network designer assists the nodes in reaching consensus by changing the weights of a limited number of links in the network. We formulate two problems to describe this competition where the order in which the players act is reversed in the two problems. Although the canonical equations provided by the Pontryagin's Maximum Principle (MP) seem to be intractable, we provide an alternative characterization for the optimal strategies that makes connection to potential theory. Further, we provide a sufficient condition for the existence of a saddle-point equilibrium (SPE) for the underlying zero-sum game. In Attack-II, the designer and the adversary are both capable of altering the measurements of all nodes in the network by injecting global signals. We impose two constraints on both players: a power constraint and an energy constraint. We assume that the available energy to each player is not sufficient to operate at maximum power throughout the horizon of the game. We show the existence of an SPE and derive the optimal strategies in closed form for this attack scenario. As an alternative to the "network designer vs. adversary" framework, we investigate the possibility of stabilizing unknown network diffusion processes using a distributed mechanism, where the uncertainty is due to an attack

  11. Link Prediction in Weighted Networks: A Weighted Mutual Information Model

    PubMed Central

    Zhu, Boyao; Xia, Yongxiang

    2016-01-01

    The link-prediction problem is an open issue in data mining and knowledge discovery, which attracts researchers from disparate scientific communities. A wealth of methods have been proposed to deal with this problem. Among these approaches, most are applied in unweighted networks, with only a few taking the weights of links into consideration. In this paper, we present a weighted model for undirected and weighted networks based on the mutual information of local network structures, where link weights are applied to further enhance the distinguishable extent of candidate links. Empirical experiments are conducted on four weighted networks, and results show that the proposed method can provide more accurate predictions than not only traditional unweighted indices but also typical weighted indices. Furthermore, some in-depth discussions on the effects of weak ties in link prediction as well as the potential to predict link weights are also given. This work may shed light on the design of algorithms for link prediction in weighted networks. PMID:26849659

  12. Information dynamics algorithm for detecting communities in networks

    NASA Astrophysics Data System (ADS)

    Massaro, Emanuele; Bagnoli, Franco; Guazzini, Andrea; Lió, Pietro

    2012-11-01

    The problem of community detection is relevant in many scientific disciplines, from social science to statistical physics. Given the impact of community detection in many areas, such as psychology and social sciences, we have addressed the issue of modifying existing well performing algorithms by incorporating elements of the domain application fields, i.e. domain-inspired. We have focused on a psychology and social network-inspired approach which may be useful for further strengthening the link between social network studies and mathematics of community detection. Here we introduce a community-detection algorithm derived from the van Dongen's Markov Cluster algorithm (MCL) method [4] by considering networks' nodes as agents capable to take decisions. In this framework we have introduced a memory factor to mimic a typical human behavior such as the oblivion effect. The method is based on information diffusion and it includes a non-linear processing phase. We test our method on two classical community benchmark and on computer generated networks with known community structure. Our approach has three important features: the capacity of detecting overlapping communities, the capability of identifying communities from an individual point of view and the fine tuning the community detectability with respect to prior knowledge of the data. Finally we discuss how to use a Shannon entropy measure for parameter estimation in complex networks.

  13. Health care communication networks: disseminating employee information for hospital security.

    PubMed

    Sumner, Jennifer; Liberman, Aaron; Rotarius, Timothy; Wan, Thomas T H; Eaglin, Ronald

    2009-01-01

    Health care in the United States is a system that, organizationally speaking, is fragmented. Each hospital facility is independently operated and is responsible for the hiring of its own employees. Corrupt individuals can take advantage of this fragmentation and move from hospital to hospital, gaining employment while hiding previous employment history. However, the need to exchange pertinent information regarding employees will become necessary as hospitals seek to fill positions throughout their organizations. One way to promote this information exchange is to develop trusted information sharing networks among hospital units. This study examined the problems surrounding organizational information sharing and the cultural factors necessary to enhance the exchange of employee information. Surveys were disseminated to 2,603 hospital chief executive officers and chief information officers throughout the nation. A sample of 154 respondents provided data into their current hiring practices and on their willingness to engage in the sharing of employee information. Findings indicated that, although fear of defamation and privacy violations do hinder the exchange of information between hospitals during the hiring process, by increasing external trust, linking the sharing process with the organizational goals of the hospital, and developing a "sharing culture" among hospitals, the exchange of employee information could be enhanced.

  14. Distributed Fusion in Sensor Networks with Information Genealogy

    DTIC Science & Technology

    2011-06-28

    published in Fusion 2009 [5] received one of the best student paper awards. Our overall goal is to provide provable methodologies which follow directly... 2009 . [5] Rommel Carvalho and KC Chang, "A Performance Evaluation Tool for Multi-Sensor Classification Systems," in Proc. 121 International...Conference on Information Fusion, Seattle, July, 2009 . [6] Wei Sun and KC Chang, "Message Passing for General Hybrid Bayesian Networks: Representation

  15. Distributed Immune Systems for Wireless Network Information Assurance

    DTIC Science & Technology

    2010-04-26

    Network Information Assurance Report Title ABSTRACT The research program focused on developing innovative distributed methods and algorithms that take...our work we completed the development and evaluation of such algorithms. In our research we focused on the fact that the self propagating code will...against adaptive adversaries. In an effort to make this evaluation framework accessible to other researchers , we started the development of a software

  16. PREFACE: Complex Networks: from Biology to Information Technology

    NASA Astrophysics Data System (ADS)

    Barrat, A.; Boccaletti, S.; Caldarelli, G.; Chessa, A.; Latora, V.; Motter, A. E.

    2008-06-01

    The field of complex networks is one of the most active areas in contemporary statistical physics. Ten years after seminal work initiated the modern study of networks, interest in the field is in fact still growing, as indicated by the ever increasing number of publications in network science. The reason for such a resounding success is most likely the simplicity and broad significance of the approach that, through graph theory, allows researchers to address a variety of different complex systems within a common framework. This special issue comprises a selection of contributions presented at the workshop 'Complex Networks: from Biology to Information Technology' held in July 2007 in Pula (Cagliari), Italy as a satellite of the general conference STATPHYS23. The contributions cover a wide range of problems that are currently among the most important questions in the area of complex networks and that are likely to stimulate future research. The issue is organised into four sections. The first two sections describe 'methods' to study the structure and the dynamics of complex networks, respectively. After this methodological part, the issue proceeds with a section on applications to biological systems. The issue closes with a section concentrating on applications to the study of social and technological networks. The first section, entitled Methods: The Structure, consists of six contributions focused on the characterisation and analysis of structural properties of complex networks: The paper Motif-based communities in complex networks by Arenas et al is a study of the occurrence of characteristic small subgraphs in complex networks. These subgraphs, known as motifs, are used to define general classes of nodes and their communities by extending the mathematical expression of the Newman-Girvan modularity. The same line of research, aimed at characterising network structure through the analysis of particular subgraphs, is explored by Bianconi and Gulbahce in Algorithm

  17. Resistance and Security Index of Networks: Structural Information Perspective of Network Security

    PubMed Central

    Li, Angsheng; Hu, Qifu; Liu, Jun; Pan, Yicheng

    2016-01-01

    Recently, Li and Pan defined the metric of the K-dimensional structure entropy of a structured noisy dataset G to be the information that controls the formation of the K-dimensional structure of G that is evolved by the rules, order and laws of G, excluding the random variations that occur in G. Here, we propose the notion of resistance of networks based on the one- and two-dimensional structural information of graphs. Given a graph G, we define the resistance of G, written , as the greatest overall number of bits required to determine the code of the module that is accessible via random walks with stationary distribution in G, from which the random walks cannot escape. We show that the resistance of networks follows the resistance law of networks, that is, for a network G, the resistance of G is , where and are the one- and two-dimensional structure entropies of G, respectively. Based on the resistance law, we define the security index of a network G to be the normalised resistance of G, that is, . We show that the resistance and security index are both well-defined measures for the security of the networks. PMID:27255783

  18. Resistance and Security Index of Networks: Structural Information Perspective of Network Security.

    PubMed

    Li, Angsheng; Hu, Qifu; Liu, Jun; Pan, Yicheng

    2016-06-03

    Recently, Li and Pan defined the metric of the K-dimensional structure entropy of a structured noisy dataset G to be the information that controls the formation of the K-dimensional structure of G that is evolved by the rules, order and laws of G, excluding the random variations that occur in G. Here, we propose the notion of resistance of networks based on the one- and two-dimensional structural information of graphs. Given a graph G, we define the resistance of G, written , as the greatest overall number of bits required to determine the code of the module that is accessible via random walks with stationary distribution in G, from which the random walks cannot escape. We show that the resistance of networks follows the resistance law of networks, that is, for a network G, the resistance of G is , where and are the one- and two-dimensional structure entropies of G, respectively. Based on the resistance law, we define the security index of a network G to be the normalised resistance of G, that is, . We show that the resistance and security index are both well-defined measures for the security of the networks.

  19. Modeling of Information Diffusion in Twitter-Like Social Networks under Information Overload

    PubMed Central

    Li, Wei

    2014-01-01

    Due to the existence of information overload in social networks, it becomes increasingly difficult for users to find useful information according to their interests. This paper takes Twitter-like social networks into account and proposes models to characterize the process of information diffusion under information overload. Users are classified into different types according to their in-degrees and out-degrees, and user behaviors are generalized into two categories: generating and forwarding. View scope is introduced to model the user information-processing capability under information overload, and the average number of times a message appears in view scopes after it is generated by a given type user is adopted to characterize the information diffusion efficiency, which is calculated theoretically. To verify the accuracy of theoretical analysis results, we conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of importance to understand the diffusion dynamics in social networks, and this analysis framework can be extended to consider more realistic situations. PMID:24795541

  20. Modeling of information diffusion in Twitter-like social networks under information overload.

    PubMed

    Li, Pei; Li, Wei; Wang, Hui; Zhang, Xin

    2014-01-01

    Due to the existence of information overload in social networks, it becomes increasingly difficult for users to find useful information according to their interests. This paper takes Twitter-like social networks into account and proposes models to characterize the process of information diffusion under information overload. Users are classified into different types according to their in-degrees and out-degrees, and user behaviors are generalized into two categories: generating and forwarding. View scope is introduced to model the user information-processing capability under information overload, and the average number of times a message appears in view scopes after it is generated by a given type user is adopted to characterize the information diffusion efficiency, which is calculated theoretically. To verify the accuracy of theoretical analysis results, we conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of importance to understand the diffusion dynamics in social networks, and this analysis framework can be extended to consider more realistic situations.

  1. A distributed name resolution system in information centric networks

    NASA Astrophysics Data System (ADS)

    Elbreiki, Walid; Arlimatti, Shivaleela; Hassan, Suhaidi; Habbal, Adib; Elshaikh, Mohamed

    2016-08-01

    Information Centric Networks (ICN) is the new paradigm that envisages to shift the Internet away from its existing Point-to-Point architecture to a data centric, where communication is based on named hosts rather than the information stored on these hosts. Name Resolution is the center of attraction for ICN, where Named Data Objects (NDO) are used for identifying the information and guiding for routing or forwarding inside ICN. Recently, several researches use distributed NRS to overcome the problem of interest flooding, congestion and overloading. Yet the distribution of NRS is based on random distribution. How to distribute the NRS is still an important and challenging problem. In this work, we address the problem of distribution of NRS by proposing a new mechanism called Distributed Name Resolution System (DNRS), by considering the time of publishing the NDOs in the NRS. This mechanism partitions the network to distribute the workload among NRSs by increasing storage capacity. In addition, partitioning the network increases flexibility and scalability of NRS. We evaluate the effectiveness of our proposed mechanism, which achieves lesser end-to-end delay with more average throughputs compared to random distribution of NRS without disturbing the underlying routing or forwarding strategies.

  2. Incorporating home demands into models of job strain: Findings from the Work, Family & Health Network

    PubMed Central

    Koenen, KC; Berkman, LF

    2009-01-01

    Objective To integrate home demands with the Demand-Control-Support model to test if home demands interact with job strain to increase depressive symptoms. Methods Data were from 431 employees in four extended care facilities. Presence of a child under age 18 in the household signified home demands. The outcome was depressive symptoms based on a shortened version of the Center for Epidemiologic Studies Depression Scale. Results The association between job strain and depressive symptoms was moderated by social support (SS) and presence of a child in the household (child). There was no association among participants with high SS and no child, but a positive one among participants with low SS and a child. Conclusions Job strain may be a particularly important determinant of depressive symptoms among employees with family demands. Models of job strain should expand to incorporate family demands. PMID:19001950

  3. Investigation of network-based information system model

    SciTech Connect

    Konrad, A.M.; Perez, M.; Rivera, J.; Rodriguez, Y.; Durst, M.J.; Merrill, D.W.; Holmes, H.H.

    1996-09-01

    The objective of the DOE-LBNL summer student research program in computer and information sciences focused on investigating database- based http-based information architectures, and implementation of a prototype using DOE`s Comprehensive Epidemiologic Data Resource (CEDR) metadata or Epidemiology Guide content. We were successful in identifying the components of such an information system, and appropriate configuration given the requirements, and in implementing a prototype. This work comprised investigation of various information systems architectures or variants, evaluation and selection of various tools, products, and packages, preparation of databases, database content, output formats, and graphical (World Wide Web- compatible) interfaces. We successfully prepared and demonstrated network access to content from both the CEDR structured documentation and from the DOD Epidemiology Guides (site archive records).

  4. Geosciences Information Network (GIN): A Distributed, Interoperable Data Network for the Geosciences

    NASA Astrophysics Data System (ADS)

    Allison, L.; Gundersen, L. C.; Richard, S. M.; Dickinson, T. L.

    2008-12-01

    A coalition of the state geological surveys (AASG), the U.S. Geological Survey (USGS), and other partners will receive NSF funding over the next 3 years under the INTEROP solicitation to start building a distributed, interoperable data network that will make thousands of data bases from the geological surveys and their partners available, searchable, and interoperable. This Geosciences Information Network (GIN) will focus on both spatial and analytical geologic data collected across the country for the past 150 years. Key components of the proposed network include: 1) catalog systems for data discovery; 2) service definitions that define interfaces for searching catalogs and accessing resources; 3) shared interchange formats to encode information for transmission; 4) data providers that publish information using standardized services defined by the network; and 5) client applications enabled to utilize information resources provided by the network. The GIN will integrate and utilize catalog resources that currently exist or are in development. We are working closely with the USGS National Geologic Map Database and its existing map catalog; with the USGS National Geological and Geophysical Data Preservation project, which is developing a metadata catalog for geoscience information resource discovery; and with the GEON catalog. Existing and emerging extensible mark-up languages such as GeoSciML, ChemML, and Open Geospatial Consortium sensor, observation and measurement MLs will provide the necessary interchange formats. Client application development will be fostered by collaboration with industry partners such as ESRI who's Geology Data Model for ArcGIS software is being designed to be compatible with GIN. The GIN project will focus on development of the remaining aspects of the system including: service definitions, technical assistance to data providers to implement the services and bring content online, and system integration. The Geosciences Information Network

  5. An open, interoperable, and scalable prehospital information technology network architecture.

    PubMed

    Landman, Adam B; Rokos, Ivan C; Burns, Kevin; Van Gelder, Carin M; Fisher, Roger M; Dunford, James V; Cone, David C; Bogucki, Sandy

    2011-01-01

    Some of the most intractable challenges in prehospital medicine include response time optimization, inefficiencies at the emergency medical services (EMS)-emergency department (ED) interface, and the ability to correlate field interventions with patient outcomes. Information technology (IT) can address these and other concerns by ensuring that system and patient information is received when and where it is needed, is fully integrated with prior and subsequent patient information, and is securely archived. Some EMS agencies have begun adopting information technologies, such as wireless transmission of 12-lead electrocardiograms, but few agencies have developed a comprehensive plan for management of their prehospital information and integration with other electronic medical records. This perspective article highlights the challenges and limitations of integrating IT elements without a strategic plan, and proposes an open, interoperable, and scalable prehospital information technology (PHIT) architecture. The two core components of this PHIT architecture are 1) routers with broadband network connectivity to share data between ambulance devices and EMS system information services and 2) an electronic patient care report to organize and archive all electronic prehospital data. To successfully implement this comprehensive PHIT architecture, data and technology requirements must be based on best available evidence, and the system must adhere to health data standards as well as privacy and security regulations. Recent federal legislation prioritizing health information technology may position federal agencies to help design and fund PHIT architectures.

  6. Humanitarian Information Management Network Effectiveness: An Analysis at the Organizational and Network Levels

    ERIC Educational Resources Information Center

    Ngamassi Tchouakeu, Louis-Marie

    2011-01-01

    Massive international response to humanitarian crises such as the South Asian Tsunami in 2004, the Hurricane Katrina in 2005 and the Haiti earthquake in 2010 highlights the importance of humanitarian inter-organizational collaboration networks, especially in information management and exchange. Despite more than a decade old call for more research…

  7. Informal Learning in Social Networks: A Study of the Orkut Social Network

    ERIC Educational Resources Information Center

    Lisboa, Eliana Santana; Coutinho, Clara Pereira

    2011-01-01

    This paper describes an analytical study which characterises the virtual communities of the Orkut social network, focusing in particular on education, training and technology, in order to understand whether this and other social websites allow the development of informal learning. This empirical study, which is descriptive and exploratory, began…

  8. Sailor: Maryland's Online Public Information Network. Sailor Network Assessment Final Report Compendium.

    ERIC Educational Resources Information Center

    Bertot, John Carlo; McClure, Charles R.

    This compendium is a companion document to the Maryland Sailor Online Public Information Network assessment final report, and contains detailed study findings, study data collection activity write-ups, detailed methodologies, data collection tools, and consultant notes on the uses of the study's data collection instruments. The purpose of the…

  9. Impact of Repeated Exposures on Information Spreading in Social Networks

    PubMed Central

    Zhou, Cangqi; Zhao, Qianchuan; Lu, Wenbo

    2015-01-01

    Clustered structure of social networks provides the chances of repeated exposures to carriers with similar information. It is commonly believed that the impact of repeated exposures on the spreading of information is nontrivial. Does this effect increase the probability that an individual forwards a message in social networks? If so, to what extent does this effect influence people’s decisions on whether or not to spread information? Based on a large-scale microblogging data set, which logs the message spreading processes and users’ forwarding activities, we conduct a data-driven analysis to explore the answer to the above questions. The results show that an overwhelming majority of message samples are more probable to be forwarded under repeated exposures, compared to those under only a single exposure. For those message samples that cover various topics, we observe a relatively fixed, topic-independent multiplier of the willingness of spreading when repeated exposures occur, regardless of the differences in network structure. We believe that this finding reflects average people’s intrinsic psychological gain under repeated stimuli. Hence, it makes sense that the gain is associated with personal response behavior, rather than network structure. Moreover, we find that the gain is robust against the change of message popularity. This finding supports that there exists a relatively fixed gain brought by repeated exposures. Based on the above findings, we propose a parsimonious model to predict the saturated numbers of forwarding activities of messages. Our work could contribute to better understandings of behavioral psychology and social media analytics. PMID:26465749

  10. DELIVERING TIMELY ENVIRONMENTAL INFORMATION TO YOUR COMMUNITY: THE BOULDER AREA SUSTAINABILITY INFORMATION NETWORK

    EPA Science Inventory

    The Technology Transfer and Support Division of the EPA Office of Research and Development's (ORD's) National Risk Management Laboratory in conjunction with the Boulder Area Sustainability Information Network (BASIN) has developed a "how-to" handbook to allow other community orga...

  11. Telecommunications Information Network: A Model for On-Demand Transfer of Medical Information. Final Report.

    ERIC Educational Resources Information Center

    Lorenzi, Nancy M.; And Others

    This report summarizes the third phase of the Telecommunications Information Network (TIN), which provides a telecommunications link between four remote southwest Ohio hospitals and the University of Cincinnati Medical Center, thereby reducing the isolation of healthcare providers at the remote hospitals. A description of the system explains the…

  12. Trade-Offs in Delayed Information Transmission in Biochemical Networks

    NASA Astrophysics Data System (ADS)

    Mancini, F.; Marsili, M.; Walczak, A. M.

    2016-03-01

    In order to transmit biochemical signals, biological regulatory systems dissipate energy with concomitant entropy production. Additionally, signaling often takes place in challenging environmental conditions. In a simple model regulatory circuit given by an input and a delayed output, we explore the trade-offs between information transmission and the system's energetic efficiency. We determine the maximally informative network, given a fixed amount of entropy production and a delayed response, exploring both the case with and without feedback. We find that feedback allows the circuit to overcome energy constraints and transmit close to the maximum available information even in the dissipationless limit. Negative feedback loops, characteristic of shock responses, are optimal at high dissipation. Close to equilibrium positive feedback loops, known for their stability, become more informative. Asking how the signaling network should be constructed to best function in the worst possible environment, rather than an optimally tuned one or in steady state, we discover that at large dissipation the same universal motif is optimal in all of these conditions.

  13. Integrating Bayesian networks and geographic information systems: good practice examples.

    PubMed

    Johnson, Sandra; Low-Choy, Sama; Mengersen, Kerrie

    2012-07-01

    Bayesian networks (BNs) are becoming increasingly common in problems with spatial aspects. The degree of spatial involvement may range from spatial mapping of BN outputs based on nodes in the BN that explicitly involve geographic features, to integration of different networks based on geographic information. In these situations, it is useful to consider how geographic information systems (GISs) could be used to enhance the conceptualization, quantification, and prediction of BNs. Here, we discuss some techniques that may be used to integrate GIS and BN models, with reference to some recent literature which illustrate these approaches. We then reflect on 2 case studies based on our own experience. The first involves the integration of GIS and a BN to assess the scientific factors associated with initiation of Lyngbya majuscula, a cyanobacterium that occurs in coastal waterways around the world. The 2nd case study involves the use of GISs as an aid for eliciting spatially informed expert opinion and expressing this information as prior distributions for a Bayesian model and as input into a BN. Elicitator, the prototype software package we developed for achieving this, is also briefly described. Whereas the 1st case study demonstrates a GIS-data driven specification of conditional probability tables for BNs with complete geographical coverage for all the data layers involved, the 2nd illustrates a situation in which we do not have complete coverage and we are forced to extrapolate based on expert judgement.

  14. Impact of Information based Classification on Network Epidemics

    PubMed Central

    Mishra, Bimal Kumar; Haldar, Kaushik; Sinha, Durgesh Nandini

    2016-01-01

    Formulating mathematical models for accurate approximation of malicious propagation in a network is a difficult process because of our inherent lack of understanding of several underlying physical processes that intrinsically characterize the broader picture. The aim of this paper is to understand the impact of available information in the control of malicious network epidemics. A 1-n-n-1 type differential epidemic model is proposed, where the differentiality allows a symptom based classification. This is the first such attempt to add such a classification into the existing epidemic framework. The model is incorporated into a five class system called the DifEpGoss architecture. Analysis reveals an epidemic threshold, based on which the long-term behavior of the system is analyzed. In this work three real network datasets with 22002, 22469 and 22607 undirected edges respectively, are used. The datasets show that classification based prevention given in the model can have a good role in containing network epidemics. Further simulation based experiments are used with a three category classification of attack and defense strengths, which allows us to consider 27 different possibilities. These experiments further corroborate the utility of the proposed model. The paper concludes with several interesting results. PMID:27329348

  15. Information flow through threespine stickleback networks without social transmission.

    PubMed

    Atton, N; Hoppitt, W; Webster, M M; Galef, B G; Laland, K N

    2012-10-22

    Social networks can result in directed social transmission of learned information, thus influencing how innovations spread through populations. Here we presented shoals of threespine sticklebacks (Gasterosteous aculeatus) with two identical foraging tasks and applied network-based diffusion analysis (NBDA) to determine whether the order in which individuals in a social group contacted and solved the tasks was affected by the group's network structure. We found strong evidence for a social effect on discovery of the foraging tasks with individuals tending to discover a task sooner when others in their group had previously done so, and with the spread of discovery of the foraging tasks influenced by groups' social networks. However, the same patterns of association did not reliably predict spread of solution to the tasks, suggesting that social interactions affected the time at which the tasks were discovered, but not the latency to its solution following discovery. The present analysis, one of the first applications of NBDA to a natural animal system, illustrates how NBDA can lead to insight into the mechanisms supporting behaviour acquisition that more conventional statistical approaches might miss. Importantly, we provide the first compelling evidence that the spread of novel behaviours can result from social learning in the absence of social transmission, a phenomenon that we refer to as an untransmitted social effect on learning.

  16. Impact of Information based Classification on Network Epidemics

    NASA Astrophysics Data System (ADS)

    Mishra, Bimal Kumar; Haldar, Kaushik; Sinha, Durgesh Nandini

    2016-06-01

    Formulating mathematical models for accurate approximation of malicious propagation in a network is a difficult process because of our inherent lack of understanding of several underlying physical processes that intrinsically characterize the broader picture. The aim of this paper is to understand the impact of available information in the control of malicious network epidemics. A 1-n-n-1 type differential epidemic model is proposed, where the differentiality allows a symptom based classification. This is the first such attempt to add such a classification into the existing epidemic framework. The model is incorporated into a five class system called the DifEpGoss architecture. Analysis reveals an epidemic threshold, based on which the long-term behavior of the system is analyzed. In this work three real network datasets with 22002, 22469 and 22607 undirected edges respectively, are used. The datasets show that classification based prevention given in the model can have a good role in containing network epidemics. Further simulation based experiments are used with a three category classification of attack and defense strengths, which allows us to consider 27 different possibilities. These experiments further corroborate the utility of the proposed model. The paper concludes with several interesting results.

  17. 47 CFR 64.2010 - Safeguards on the disclosure of customer proprietary network information.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... proprietary network information. 64.2010 Section 64.2010 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES (CONTINUED) MISCELLANEOUS RULES RELATING TO COMMON CARRIERS Customer Proprietary Network Information § 64.2010 Safeguards on the disclosure of customer proprietary...

  18. 47 CFR 64.2007 - Approval required for use of customer proprietary network information.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... proprietary network information. 64.2007 Section 64.2007 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES (CONTINUED) MISCELLANEOUS RULES RELATING TO COMMON CARRIERS Customer Proprietary Network Information § 64.2007 Approval required for use of customer proprietary...

  19. 47 CFR 64.2009 - Safeguards required for use of customer proprietary network information.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... proprietary network information. 64.2009 Section 64.2009 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES (CONTINUED) MISCELLANEOUS RULES RELATING TO COMMON CARRIERS Customer Proprietary Network Information § 64.2009 Safeguards required for use of customer proprietary...

  20. 75 FR 57521 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-21

    ... FOUNDATION Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010... Technology Research and Development (NITRD). ACTION: Notice, request for public comment. FOR FURTHER... Coordination Office for Networking and Information Technology Research and Development (NITRD)...

  1. 32 CFR 2001.50 - Telecommunications automated information systems and network security.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... and network security. 2001.50 Section 2001.50 National Defense Other Regulations Relating to National Defense INFORMATION SECURITY OVERSIGHT OFFICE, NATIONAL ARCHIVES AND RECORDS ADMINISTRATION CLASSIFIED... network security. Each agency head shall ensure that classified information electronically...

  2. Correlates of requesting home HIV self-testing kits on online social networks among African-American and Latino men who have sex with men.

    PubMed

    Chiu, ChingChe J; Young, Sean D

    2016-01-01

    High levels of HIV stigma are one of the main difficulties in engaging African-American and Latino men who have sex with men (MSM) in HIV testing. The availability of home HIV test and the possibility of self-testing in private may improve uptake and counteract stigma. This paper sought to determine the correlates of requesting home HIV test kits among a sample of MSM social media users. The odds of participants requesting a test kit were significantly associated with using social networks to seek sexual partners (aOR: 2.47, 95% CI: 1.07-6.06) and thinking it is easier to use social networks for seeking sexual partners (1.87, 1.2-3.12), uncertain HIV status (4.29, 1.37-14.4), and having sex under the influence of alcohol (2.46, 1.06-5.77). Participants who had not been tested for more than 6 months were more likely to request a test kit than those who were tested in the past 6 months (2.53, 1.02-6.37). Participants who frequently talked to others about having sex with men online were less likely to request a test kit (0.73, 0.56-0.92). By reaching people over social media and offering them access to test kits, we were able to reach at-risk individuals who were uncertain about their HIV status and had not been regularly tested. The findings of the study will help to inform future HIV testing interventions.

  3. Drug target prioritization by perturbed gene expression and network information

    PubMed Central

    Isik, Zerrin; Baldow, Christoph; Cannistraci, Carlo Vittorio; Schroeder, Michael

    2015-01-01

    Drugs bind to their target proteins, which interact with downstream effectors and ultimately perturb the transcriptome of a cancer cell. These perturbations reveal information about their source, i.e., drugs’ targets. Here, we investigate whether these perturbations and protein interaction networks can uncover drug targets and key pathways. We performed the first systematic analysis of over 500 drugs from the Connectivity Map. First, we show that the gene expression of drug targets is usually not significantly affected by the drug perturbation. Hence, expression changes after drug treatment on their own are not sufficient to identify drug targets. However, ranking of candidate drug targets by network topological measures prioritizes the targets. We introduce a novel measure, local radiality, which combines perturbed genes and functional interaction network information. The new measure outperforms other methods in target prioritization and proposes cancer-specific pathways from drugs to affected genes for the first time. Local radiality identifies more diverse targets with fewer neighbors and possibly less side effects. PMID:26615774

  4. Technology Solutions for Existing Homes Case Study: Accelerating the Delivery of Home-Performance Upgrades Using a Synergistic Business Model

    SciTech Connect

    2016-04-14

    The Building America team NorthernSTAR investigated opportunities to use the massive customer networks of the home service industry as a means to connect homeowners to home-performance solutions. Home service companies could provide a pathway to advance building-science-guided upgrades by being in close proximity to homeowners when a decision-making moment is at hand. Established trust provides an opportunity for the company to deliver sound information and influence during a remodeling decision.

  5. Complaints against Nursing Homes: Comparing Two Sources of Complaint Information and Predictors of Complaints

    ERIC Educational Resources Information Center

    Troyer, Jennifer L.; Sause, Wendy L.

    2011-01-01

    Purpose of the Study: Two consumer-derived measures of nursing home quality that have been underutilized by researchers are consumer complaints to the state certification agency between inspections and complaints to the Long-Term Care Ombudsman Program. This article describes these complaints, considers facility-level predictors of complaints, and…

  6. Anthropometric measurements may be informative for nursing home-acquired pneumonia

    PubMed Central

    Yardimci, Bulent; Aksoy, Sevki Murat; Ozkaya, Ismail; Demir, Tarik; Tezcan, Gulsen; Kaptanoglu, Aysegul Yildirim

    2016-01-01

    Objective: To evaluate the relationship between anthropometric measurements and Nursing Home-Acquired Pneumonia (NHAP) risk. Methods: Consecutive patients of 65 years or elderly who were living in the Balikli Rum Hospital Nursing Homes were included in this prospective study. At the beginning of this study, the patients’ anthropometrics values were measured. The patients were followed for one year, and any incidences of pneumonia attacks were recorded. The relationship between the anthropometric measurements and pneumonia occurrences was analyzed. Results: There were 133 inmates at the initial assessments. Of 108 patients who were eligible for the study, 77 (72.2%) were female and 37 (27.8%) were male. The mean age of the group was 79.8±10.5. Patients were assigned to a group according to the presence of pneumonia during the one -year follow-up. There were 74 (55.6%) patients who had suffered from at least one attack of pneumonia during the follow-up period. The mean triceps skinfold was significantly thinner in the pneumonia group, and the mean handgrip measurements in both the dominant and non-dominant hands were significantly weaker in the pneumonia group. Furthermore, the frequency of Chronic Obstructive Pulmonary Diseases (COPD) was significantly higher in this group (p < 0.001). Conclusions: The risk of pneumonia was high in the elderly population who live in nursing homes. Simple anthropometric values may be predictive of the potential for Nursing Home-Acquired Pneumonia. PMID:27375716

  7. Quality Improvement in Home-Based Child Care Settings: Research Resources to Inform Policy

    ERIC Educational Resources Information Center

    Lawrence, Sharmila; Stephens, Samuel A.

    2016-01-01

    This "Topic of Interest" provides a comprehensive list of research in the Research Connections collection that was published in 2005 or later addressing issues related to quality improvement specifically in home-based child care. The resources are grouped under the following headings: Overviews, Summaries, and Reviews of Quality…

  8. Home Economics Education: A Review and Synthesis of the Research, Fifth Edition. Information Series No. 313.

    ERIC Educational Resources Information Center

    Redick, Sharon S.; And Others

    This fifth edition of a review and synthesis of research in home economics education covers the period from 1979 through 1985. The review covers research found in the ERIC database, the Comprehensive Dissertation Index, and professional journals, as well as from solicitations to the field. Criteria for selection include validity and reliability of…

  9. 77 FR 65571 - Notice of Submission of Proposed Information Collection to OMB; Comment Request; HOME Investment...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-29

    ... that program income be used for HOME eligible activities (Section 219 of the Act), as well as the Women....300 CHDO Project Assistance 2 594 1,188 Sec. 92.303 Tenant Participation Plan 10 4,171 41,710 Sec. 92.350 Equal Opportunity (including 5 6,667 33,335 nondiscrimination, and minority and women...

  10. An Integrated Patient Information and In-Home Health Monitoring System Using Smartphones and Web Services.

    PubMed

    Sorwar, Golam; Ali, Mortuza; Islam, Md Kamrul; Miah, Mohammad Selim

    2016-01-01

    Modern healthcare systems are undergoing a paradigm shift from in-hospital care to in-home monitoring, leveraging the emerging technologies in the area of bio-sensing, wireless communication, mobile computing, and artificial intelligence. In-home monitoring promises to significantly reduce healthcare spending by preventing unnecessary hospital admissions and visits to healthcare professionals. Most of the in-home monitoring systems, proposed in the literature, focus on monitoring a set of specific vital signs. However, from the perspective of caregivers it is infeasible to maintain a collection of specialized monitoring systems. In this paper, we view the problem of in-home monitoring from the perspective of caregivers and present a framework that supports various monitoring capabilities while making the complexity transparent to the end users. The essential idea of the framework is to define a 'general purpose architecture' where the system specifies a particular protocol for communication and makes it public. Then any bio-sensing system can communicate with the system as long as it conforms to the protocol. We then argue that as the system grows in terms of number of patients and bio-sensing systems, artificial intelligence technologies need to be employed for patients' risk assessment, prioritization, and recommendation. Finally, we present an initial prototype of the system designed according to the proposed framework.

  11. National Cancer Information Service in Italy: an information points network as a new model for providing information for cancer patients.

    PubMed

    Truccolo, Ivana; Bufalino, Rosaria; Annunziata, Maria Antonietta; Caruso, Anita; Costantini, Anna; Cognetti, Gaetana; Florita, Antonio; Pero, Dina; Pugliese, Patrizia; Tancredi, Roberta; De Lorenzo, Francesco

    2011-01-01

    The international literature data report that good information and communication are fundamental components of a therapeutic process. They contribute to improve the patient-health care professional relationship, to facilitate doctor-patient relationships, therapeutic compliance and adherence, and to the informed consent in innovative clinical trials. We report the results of a multicentric national initiative that developed a 17-information-structure network: 16 Information Points located in the major state-funded certified cancer centers and general hospitals across Italy and a national Help-line at the nonprofit organization AIMaC (the Italian oncologic patients, families and friends association), and updated the already existing services with the aim to create the National Cancer Information Service (SION). The project is the result of a series of pilot and research projects funded by the Italian Ministry of Health. The Information Service model proposed is based on some fundamental elements: 1) human interaction with experienced operators, adequately trained in communication and information, complemented with 2) virtual interaction (Help line, Internet, blog, forum and social network); 3) informative material adequate for both scientific accuracy and communicative style; 4) adequate locations for appropriate positioning and privacy (adequate visibility); 5) appropriate advertising. First results coming from these initiatives contributed to introduce issues related to "Communication and Information to patients" as a "Public Health Instrument" to the National Cancer Plan approved by the Ministry of Health for the years 2010-2012.

  12. Multirate control with incomplete information over Profibus-DP network

    NASA Astrophysics Data System (ADS)

    Salt, J.; Casanova, V.; Cuenca, A.; Pizá, R.

    2014-07-01

    When a process field bus-decentralized peripherals (Profibus-DP) network is used in an industrial environment, a deterministic behaviour is usually claimed. However, due to some concerns such as bandwidth limitations, lack of synchronisation among different clocks and existence of time-varying delays, a more complex problem must be faced. This problem implies the transmission of irregular and, even, random sequences of incomplete information. The main consequence of this issue is the appearance of different sampling periods at different network devices. In this paper, this aspect is checked by means of a detailed Profibus-DP timescale study. In addition, in order to deal with the different periods, a delay-dependent dual-rate proportional-integral-derivative control is introduced. Stability for the proposed control system is analysed in terms of linear matrix inequalities.

  13. Analyzing information flow in brain networks with nonparametric Granger causality.

    PubMed

    Dhamala, Mukeshwar; Rangarajan, Govindan; Ding, Mingzhou

    2008-06-01

    Multielectrode neurophysiological recording and high-resolution neuroimaging generate multivariate data that are the basis for understanding the patterns of neural interactions. How to extract directions of information flow in brain networks from these data remains a key challenge. Research over the last few years has identified Granger causality as a statistically principled technique to furnish this capability. The estimation of Granger causality currently requires autoregressive modeling of neural data. Here, we propose a nonparametric approach based on widely used Fourier and wavelet transforms to estimate both pairwise and conditional measures of Granger causality, eliminating the need of explicit autoregressive data modeling. We demonstrate the effectiveness of this approach by applying it to synthetic data generated by network models with known connectivity and to local field potentials recorded from monkeys performing a sensorimotor task.

  14. Training Neural Networks to See Beyond Missing Information

    NASA Astrophysics Data System (ADS)

    Howard, M. E.; Schradin, L. J.; Cizewski, J. A.

    2012-10-01

    While the human eye may easily see a distorted image and imagine the original image, a rigorous mathematical treatment of the reconstruction may turn out to be a programming nightmare. We present a case study of nuclear physics data for which a significant population of events from a microchannel plate (MCP) detector are missing information for one of four MCP corners. Using events with good data for all four MCP corners to train a neural network, events with only three good corners are treated on equal footing in the analysis of position measurements, recovering much needed statistics. As this neural network is available within the framework of standard physics analysis packages such as ROOT and PAW, implementation is quite straightforward. We conclude with a discussion of the obvious advantages and limitations of this method as compared with an analytic approach. Work supported in part by the National Science Foundation and the Department of Energy.

  15. Analyzing Information Flow in Brain Networks with Nonparametric Granger Causality

    PubMed Central

    Dhamala, Mukeshwar; Rangarajan, Govindan; Ding, Mingzhou

    2009-01-01

    Multielectrode neurophysiological recording and high-resolution neuroimaging generate multivariate data that are the basis for understanding the patterns of neural interactions. How to extract directions of information flow in brain networks from these data remains a key challenge. Research over the last few years has identified Granger causality as a statistically principled technique to furnish this capability. The estimation of Granger causality currently requires autoregressive modeling of neural data. Here, we propose a nonparametric approach based on widely used Fourier and wavelet transforms to estimate Granger causality, eliminating the need of explicit autoregressive data modeling. We demonstrate the effectiveness of this approach by applying it to synthetic data generated by network models with known connectivity and to local field potentials recorded from monkeys performing a sensorimotor task. PMID:18394927

  16. Internet Protocol Television for Personalized Home-Based Health Information: Design-Based Research on a Diabetes Education System

    PubMed Central

    Clarke, Ken; Kwong, Mabel; Alzougool, Basil; Hines, Carolyn; Tidhar, Gil; Frukhtman, Feodor

    2014-01-01

    Background The use of Internet protocol television (IPTV) as a channel for consumer health information is a relatively under-explored area of medical Internet research. IPTV may afford new opportunities for health care service providers to provide health information and for consumers, patients, and caretakers to access health information. The technologies of Web 2.0 add a new and even less explored dimension to IPTV’s potential. Objective Our research explored an application of Web 2.0 integrated with IPTV for personalized home-based health information in diabetes education, particularly for people with diabetes who are not strong computer and Internet users, and thus may miss out on Web-based resources. We wanted to establish whether this system could enable diabetes educators to deliver personalized health information directly to people with diabetes in their homes; and whether this system could encourage people with diabetes who make little use of Web-based health information to build their health literacy via the interface of a home television screen and remote control. Methods This project was undertaken as design-based research in two stages. Stage 1 comprised a feasibility study into the technical work required to integrate an existing Web 2.0 platform with an existing IPTV system, populated with content and implemented for user trials in a laboratory setting. Stage 2 comprised an evaluation of the system by consumers and providers of diabetes information. Results The project succeeded in developing a Web 2.0 IPTV system for people with diabetes and low literacies and their diabetes educators. The performance of the system in the laboratory setting gave them the confidence to engage seriously in thinking about the actual and potential features and benefits of a more widely-implemented system. In their feedback they pointed out a range of critical usability and usefulness issues related to Web 2.0 affordances and learning fundamentals. They also described

  17. Retrieving and routing quantum information in a quantum network

    NASA Astrophysics Data System (ADS)

    Sazim, S.; Chiranjeevi, V.; Chakrabarty, I.; Srinathan, K.

    2015-12-01

    In extant quantum secret sharing protocols, once the secret is shared in a quantum network ( qnet) it cannot be retrieved, even if the dealer wishes that his/her secret no longer be available in the network. For instance, if the dealer is part of the two qnets, say {{Q}}_1 and {{Q}}_2 and he/she subsequently finds that {{Q}}_2 is more reliable than {{Q}}_1, he/she may wish to transfer all her secrets from {{Q}}_1 to {{Q}}_2. Known protocols are inadequate to address such a revocation. In this work we address this problem by designing a protocol that enables the source/dealer to bring back the information shared in the network, if desired. Unlike classical revocation, the no-cloning theorem automatically ensures that the secret is no longer shared in the network. The implications of our results are multi-fold. One interesting implication of our technique is the possibility of routing qubits in asynchronous qnets. By asynchrony we mean that the requisite data/resources are intermittently available (but not necessarily simultaneously) in the qnet. For example, we show that a source S can send quantum information to a destination R even though (a) S and R share no quantum resource, (b) R's identity is unknown to S at the time of sending the message, but is subsequently decided, (c) S herself can be R at a later date and/or in a different location to bequeath her information (`backed-up' in the qnet) and (d) importantly, the path chosen for routing the secret may hit a dead end due to resource constraints, congestion, etc., (therefore the information needs to be back-tracked and sent along an alternate path). Another implication of our technique is the possibility of using insecure resources. For instance, if the quantum memory within an organization is insufficient, it may safely store (using our protocol) its private information with a neighboring organization without (a) revealing critical data to the host and (b) losing control over retrieving the data. Putting the

  18. Determining Home Range and Preferred Habitat of Feral Horses on the Nevada National Security Site Using Geographic Information Systems

    SciTech Connect

    Burns, Ashley V.

    2014-05-30

    Feral horses (Equus caballus) are free-roaming descendants of domesticated horses and legally protected by the Wild and Free-Roaming Horses and Burros Act of 1971, which mandates how feral horses and burros should be managed and protected on federal lands. Using a geographic information system to determine the home range and suitable habitat of feral horses on the federally managed Nevada National Security Site can enable wildlife biologists in making best management practice recommendations. Home range was estimated at 88.1 square kilometers. Site suitability was calculated for elevation, forage, slope, water presence and horse observations. These variables were combined in successive iterations into one polygon. Suitability rankings established that 85 square kilometers are most suitable habitat, with 2,052 square kilometers of good habitat 1,252 square kilometers of fair habitat and 122 square kilometers of least suitable habitat.

  19. The role of home-based information and communications technology interventions in chronic disease management: a systematic literature review.

    PubMed

    Gaikwad, Rekha; Warren, Jim

    2009-06-01

    This article presents a systematic literature review done to evaluate the feasibility and benefits of home-based information and communications technology enabled interventions for chronic disease management, with emphasis on their impact on health outcomes and costs. Relevant articles were retrieved from PubMed and evaluated using quality worksheets with pre-identified inclusion and exclusion criteria. Of the 256 articles retrieved, 27 were found to concord with the study criteria. Evaluation of the identified articles was conducted irrespective of study design, type of home-based intervention or chronic disease involved. The review demonstrates that HBIs applied to chronic disease management improve functional and cognitive patient outcomes and reduce healthcare spending. However, further research is needed to assess benefit in terms of evidence-based outcome indicators (that can provide a basis for meta-analysis), to confirm sustainable cost benefits, and to systematically collect data on physician satisfaction with patient management.

  20. Geosciences Information Network (GIN): A modular, distributed, interoperable data network for the geosciences

    NASA Astrophysics Data System (ADS)

    Allison, M.; Gundersen, L. C.; Richard, S. M.; Dickinson, T. L.

    2008-12-01

    A coalition of the state geological surveys (AASG), the U.S. Geological Survey (USGS), and partners will receive NSF funding over 3 years under the INTEROP solicitation to start building the Geoscience Information Network (www.geoinformatics.info/gin) a distributed, interoperable data network. The GIN project will develop standardized services to link existing and in-progress components using a few standards and protocols, and work with data providers to implement these services. The key components of this network are 1) catalog system(s) for data discovery; 2) service definitions for interfaces for searching catalogs and accessing resources; 3) shared interchange formats to encode information for transmission (e.g. various XML markup languages); 4) data providers that publish information using standardized services defined by the network; and 5) client applications adapted to use information resources provided by the network. The GIN will integrate and use catalog resources that currently exist or are in development. We are working with the USGS National Geologic Map Database's existing map catalog, with the USGS National Geological and Geophysical Data Preservation Program, which is developing a metadata catalog (National Digital Catalog) for geoscience information resource discovery, and with the GEON catalog. Existing interchange formats will be used, such as GeoSciML, ChemML, and Open Geospatial Consortium sensor, observation and measurement MLs. Client application development will be fostered by collaboration with industry and academic partners. The GIN project will focus on the remaining aspects of the system -- service definitions and assistance to data providers to implement the services and bring content online - and on system integration of the modules. Initial formal collaborators include the OneGeology-Europe consortium of 27 nations that is building a comparable network under the EU INSPIRE initiative, GEON, Earthchem, and GIS software company ESRI

  1. 47 CFR 64.2005 - Use of customer proprietary network information without customer approval.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 47 Telecommunication 3 2010-10-01 2010-10-01 false Use of customer proprietary network information... (CONTINUED) COMMON CARRIER SERVICES (CONTINUED) MISCELLANEOUS RULES RELATING TO COMMON CARRIERS Customer Proprietary Network Information § 64.2005 Use of customer proprietary network information without...

  2. 47 CFR 64.5105 - Use of customer proprietary network information without customer approval.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 47 Telecommunication 3 2014-10-01 2014-10-01 false Use of customer proprietary network information... Proprietary Network Information. § 64.5105 Use of customer proprietary network information without customer... lawfully marketing service offerings among the categories of service (i.e., type of TRS) for which the...

  3. 47 CFR 64.5105 - Use of customer proprietary network information without customer approval.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 47 Telecommunication 3 2013-10-01 2013-10-01 false Use of customer proprietary network information... Proprietary Network Information. § 64.5105 Use of customer proprietary network information without customer... lawfully marketing service offerings among the categories of service (i.e., type of TRS) for which the...

  4. 47 CFR 64.2005 - Use of customer proprietary network information without customer approval.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 47 Telecommunication 3 2012-10-01 2012-10-01 false Use of customer proprietary network information... Proprietary Network Information § 64.2005 Use of customer proprietary network information without customer..., except as described in paragraph (c) of this section. (1) A wireless provider may use, disclose,...

  5. 47 CFR 64.2005 - Use of customer proprietary network information without customer approval.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 47 Telecommunication 3 2014-10-01 2014-10-01 false Use of customer proprietary network information... Proprietary Network Information § 64.2005 Use of customer proprietary network information without customer..., except as described in paragraph (c) of this section. (1) A wireless provider may use, disclose,...

  6. 47 CFR 64.2005 - Use of customer proprietary network information without customer approval.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 47 Telecommunication 3 2011-10-01 2011-10-01 false Use of customer proprietary network information... Proprietary Network Information § 64.2005 Use of customer proprietary network information without customer..., except as described in paragraph (c) of this section. (1) A wireless provider may use, disclose,...

  7. 78 FR 34665 - Homeland Security Information Network Advisory Committee (HSINAC); Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-10

    ... SECURITY Homeland Security Information Network Advisory Committee (HSINAC); Meeting AGENCY: OPS/OCIO, DHS... Security Information Network Advisory Committee (HSINAC) will meet on Tuesday, June 25th, 2013 from 1 p.m...: http://www.dhs.gov/homeland-security-information-network-advisory-committee . There is a meeting...

  8. 47 CFR 64.2011 - Notification of customer proprietary network information security breaches.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... Proprietary Network Information § 64.2011 Notification of customer proprietary network information security... 47 Telecommunication 3 2011-10-01 2011-10-01 false Notification of customer proprietary network information security breaches. 64.2011 Section 64.2011 Telecommunication FEDERAL COMMUNICATIONS...

  9. Needs assessment for home-based care and the strengthening of social support networks: the role of community care workers in rural South Africa

    PubMed Central

    Moshabela, Mosa; Sips, Ilona; Barten, Francoise

    2015-01-01

    Background Community care workers (CCWs) in rural South Africa provide medical, personal, household, educational, and social care services to their clients. However, little understanding exists on how provision of services is approached within a household, taking into account available social support networks. Objective The aim of this study was to generate an understanding of the processes that underpin the provision of care by CCWs in rural households and their engagement with clients, primary caregivers (PCGs), and other members of the social support network. Design We analysed in-depth interviews conducted in a triad of participants involved in a home-based care (HBC) encounter – 32 clients, 32 PCGs, and 17 CCWs. For each triad, a purposefully selected CCW was linked with a purposefully selected client and the corresponding PCG using maximum variation sampling. Three coders used an inductive content analysis method to describe participants’ references to the nuances of processes followed by CCWs in servicing HBC clients. Written informed consent was obtained from all participants. Findings The results suggest that, by intuition and prior knowledge, CCWs treated each household uniquely, depending on the clients’ care needs, cooperation, availability of a social network, and the reliability and resilience of the social support system for the client. Four distinct processes took place in rural households: needs assessment for care, rationing of care, appraisal of care, and reinforcement of a social support system. However, there was no particular order or sequence established for these processes, and caregivers followed no prescribed or shared standards. Conclusions CCWs bring a basket of services to a household, but engage in a constant, dynamic, and cyclical process of weighing needs against services provided. The service package is uniquely crafted and tailored for each household, depending on the absorptive capacity of the social support network

  10. Needs assessment for home-based care and the strengthening of social support networks: the role of community care workers in rural South Africa.

    PubMed

    Moshabela, Mosa; Sips, Ilona; Barten, Francoise

    2015-01-01

    Background Community care workers (CCWs) in rural South Africa provide medical, personal, household, educational, and social care services to their clients. However, little understanding exists on how provision of services is approached within a household, taking into account available social support networks. Objective The aim of this study was to generate an understanding of the processes that underpin the provision of care by CCWs in rural households and their engagement with clients, primary caregivers (PCGs), and other members of the social support network. Design We analysed in-depth interviews conducted in a triad of participants involved in a home-based care (HBC) encounter - 32 clients, 32 PCGs, and 17 CCWs. For each triad, a purposefully selected CCW was linked with a purposefully selected client and the corresponding PCG using maximum variation sampling. Three coders used an inductive content analysis method to describe participants' references to the nuances of processes followed by CCWs in servicing HBC clients. Written informed consent was obtained from all participants. Findings The results suggest that, by intuition and prior knowledge, CCWs treated each household uniquely, depending on the clients' care needs, cooperation, availability of a social network, and the reliability and resilience of the social support system for the client. Four distinct processes took place in rural households: needs assessment for care, rationing of care, appraisal of care, and reinforcement of a social support system. However, there was no particular order or sequence established for these processes, and caregivers followed no prescribed or shared standards. Conclusions CCWs bring a basket of services to a household, but engage in a constant, dynamic, and cyclical process of weighing needs against services provided. The service package is uniquely crafted and tailored for each household, depending on the absorptive capacity of the social support network available to

  11. Why common carrier and network neutrality principles apply to the Nationwide Health Information Network (NWHIN).

    PubMed

    Gaynor, Mark; Lenert, Leslie; Wilson, Kristin D; Bradner, Scott

    2014-01-01

    The Office of the National Coordinator will be defining the architecture of the Nationwide Health Information Network (NWHIN) together with the proposed HealtheWay public/private partnership as a development and funding strategy. There are a number of open questions--for example, what is the best way to realize the benefits of health information exchange? How valuable are regional health information organizations in comparison with a more direct approach? What is the role of the carriers in delivering this service? The NWHIN is to exist for the public good, and thus shares many traits of the common law notion of 'common carriage' or 'public calling,' the modern term for which is network neutrality. Recent policy debates in Congress and resulting potential regulation have implications for key stakeholders within healthcare that use or provide services, and for those who exchange information. To date, there has been little policy debate or discussion about the implications of a neutral NWHIN. This paper frames the discussion for future policy debate in healthcare by providing a brief education and summary of the modern version of common carriage, of the key stakeholder positions in healthcare, and of the potential implications of the network neutrality debate within healthcare.

  12. Why common carrier and network neutrality principles apply to the Nationwide Health Information Network (NWHIN)

    PubMed Central

    Gaynor, Mark; Lenert, Leslie; Wilson, Kristin D; Bradner, Scott

    2014-01-01

    The Office of the National Coordinator will be defining the architecture of the Nationwide Health Information Network (NWHIN) together with the proposed HealtheWay public/private partnership as a development and funding strategy. There are a number of open questions—for example, what is the best way to realize the benefits of health information exchange? How valuable are regional health information organizations in comparison with a more direct approach? What is the role of the carriers in delivering this service? The NWHIN is to exist for the public good, and thus shares many traits of the common law notion of ‘common carriage’ or ‘public calling,’ the modern term for which is network neutrality. Recent policy debates in Congress and resulting potential regulation have implications for key stakeholders within healthcare that use or provide services, and for those who exchange information. To date, there has been little policy debate or discussion about the implications of a neutral NWHIN. This paper frames the discussion for future policy debate in healthcare by providing a brief education and summary of the modern version of common carriage, of the key stakeholder positions in healthcare, and of the potential implications of the network neutrality debate within healthcare. PMID:23837992

  13. Home-Based Peer Social Networks of Young Children with Down Syndrome: A Developmental Perspective

    ERIC Educational Resources Information Center

    Guralnick, Michael J.; Connor, Robert T.; Johnson, L. Clark

    2009-01-01

    Numerous dimensions of the peer social networks of children with Down syndrome were examined within a developmental framework. Results revealed that for many key measures, particularly involvement in play, linkages to other settings, and control of play, children with Down syndrome have less well-developed peer networks even in comparison to a…

  14. Access to Max '91 information via computer networks

    NASA Technical Reports Server (NTRS)

    Kiplinger, Alan L.

    1989-01-01

    Various types of flare information, activity, active region reports, x ray plots and daily Campaign Action notices are now available on SPAN, and INTERNET. Although this system was developed for use by Max '91 participants during campaigns, it is updated daily and maintained at times outside of campaigns. Thus it is available for general use outside of campaigns. The Space Environment Laboratory maintains VAX and Apollo systems, both of which are on INTERNET. The VAX is also on the SPAN network as node SELVAX or 9555. Details of access to files on the VAX are given.

  15. Information Networks Secured by the Laws of Physics

    NASA Astrophysics Data System (ADS)

    Kish, Laszlo B.; Peper, Ferdinand

    In this paper, we survey the state of the art of the secure key exchange method that is secured by the laws of classical statistical physics, and involves the Kirchhoff's law and the generalized Johnson noise equation, too. We discuss the major characteristics and advantages of these schemes especially in comparison with quantum encryption, and analyze some of the technical challenges of its implementation, too. Finally, we outline some ideas about how to use already existing and currently used wire lines, such as power lines, phone lines, internet lines to implement unconditionally secure information networks.

  16. Game-Theoretic Models of Information Overload in Social Networks

    NASA Astrophysics Data System (ADS)

    Borgs, Christian; Chayes, Jennifer; Karrer, Brian; Meeder, Brendan; Ravi, R.; Reagans, Ray; Sayedi, Amin

    We study the effect of information overload on user engagement in an asymmetric social network like Twitter. We introduce simple game-theoretic models that capture rate competition between celebrities producing updates in such networks where users non-strategically choose a subset of celebrities to follow based on the utility derived from high quality updates as well as disutility derived from having to wade through too many updates. Our two variants model the two behaviors of users dropping some potential connections (followership model) or leaving the network altogether (engagement model). We show that under a simple formulation of celebrity rate competition, there is no pure strategy Nash equilibrium under the first model. We then identify special cases in both models when pure rate equilibria exist for the celebrities: For the followership model, we show existence of a pure rate equilibrium when there is a global ranking of the celebrities in terms of the quality of their updates to users. This result also generalizes to the case when there is a partial order consistent with all the linear orders of the celebrities based on their qualities to the users. Furthermore, these equilibria can be computed in polynomial time. For the engagement model, pure rate equilibria exist when all users are interested in the same number of celebrities, or when they are interested in at most two. Finally, we also give a finite though inefficient procedure to determine if pure equilibria exist in the general case of the followership model.

  17. Clustering and information in correlation based financial networks

    NASA Astrophysics Data System (ADS)

    Onnela, J.-P.; Kaski, K.; Kertész, J.

    2004-03-01

    Networks of companies can be constructed by using return correlations. A crucial issue in this approach is to select the relevant correlations from the correlation matrix. In order to study this problem, we start from an empty graph with no edges where the vertices correspond to stocks. Then, one by one, we insert edges between the vertices according to the rank of their correlation strength, resulting in a network called asset graph. We study its properties, such as topologically different growth types, number and size of clusters and clustering coefficient. These properties, calculated from empirical data, are compared against those of a random graph. The growth of the graph can be classified according to the topological role of the newly inserted edge. We find that the type of growth which is responsible for creating cycles in the graph sets in much earlier for the empirical asset graph than for the random graph, and thus reflects the high degree of networking present in the market. We also find the number of clusters in the random graph to be one order of magnitude higher than for the asset graph. At a critical threshold, the random graph undergoes a radical change in topology related to percolation transition and forms a single giant cluster, a phenomenon which is not observed for the asset graph. Differences in mean clustering coefficient lead us to conclude that most information is contained roughly within 10% of the edges.

  18. Information Filtering via Heterogeneous Diffusion in Online Bipartite Networks

    PubMed Central

    Zhang, Fu-Guo; Zeng, An

    2015-01-01

    The rapid expansion of Internet brings us overwhelming online information, which is impossible for an individual to go through all of it. Therefore, recommender systems were created to help people dig through this abundance of information. In networks composed by users and objects, recommender algorithms based on diffusion have been proven to be one of the best performing methods. Previous works considered the diffusion process from user to object, and from object to user to be equivalent. We show in this work that it is not the case and we improve the quality of the recommendation by taking into account the asymmetrical nature of this process. We apply this idea to modify the state-of-the-art recommendation methods. The simulation results show that the new methods can outperform these existing methods in both recommendation accuracy and diversity. Finally, this modification is checked to be able to improve the recommendation in a realistic case. PMID:26125631

  19. Resilient information networks for coordination of foodborne disease outbreaks.

    PubMed

    Hossain, Liaquat; Hassan, Muhammad Rabiul; Wigand, Rolf T

    2015-04-01

    Foodborne disease outbreaks are increasingly being seen as a greater concern by public health authorities. It has also become a global research agenda to identify improved pathways to coordinating outbreak detection. Furthermore, a significant need exists for timely coordination of the detection of potential foodborne disease outbreaks to reduce the number of infected individuals and the overall impact on public health security. This study aimed to offer an effective approach for coordinating foodborne disease outbreaks. First, we identify current coordination processes, complexities, and challenges. We then explore social media surveillance strategies, usage, and the power of these strategies to influence decision-making. Finally, based on informal (social media) and formal (organizational) surveillance approaches, we propose a hybrid information network model for improving the coordination of outbreak detection.

  20. Methods of information theory and algorithmic complexity for network biology.

    PubMed

    Zenil, Hector; Kiani, Narsis A; Tegnér, Jesper

    2016-03-01

    We survey and introduce concepts and tools located at the intersection of information theory and network biology. We show that Shannon's information entropy, compressibility and algorithmic complexity quantify different local and global aspects of synthetic and biological data. We show examples such as the emergence of giant components in Erdös-Rényi random graphs, and the recovery of topological properties from numerical kinetic properties simulating gene expression data. We provide exact theoretical calculations, numerical approximations and error estimations of entropy, algorithmic probability and Kolmogorov complexity for different types of graphs, characterizing their variant and invariant properties. We introduce formal definitions of complexity for both labeled and unlabeled graphs and prove that the Kolmogorov complexity of a labeled graph is a good approximation of its unlabeled Kolmogorov complexity and thus a robust definition of graph complexity.