WorldWideScience

Sample records for geoscience information network

  1. Geosciences Information Network (GIN): A modular, distributed, interoperable data network for the geosciences

    Science.gov (United States)

    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

  2. US Geoscience Information Network, Web Services for Geoscience Information Discovery and Access

    Science.gov (United States)

    Richard, S.; Allison, L.; Clark, R.; Coleman, C.; Chen, G.

    2012-04-01

    The US Geoscience information network has developed metadata profiles for interoperable catalog services based on ISO19139 and the OGC CSW 2.0.2. Currently data services are being deployed for the US Dept. of Energy-funded National Geothermal Data System. These services utilize OGC Web Map Services, Web Feature Services, and THREDDS-served NetCDF for gridded datasets. Services and underlying datasets (along with a wide variety of other information and non information resources are registered in the catalog system. Metadata for registration is produced by various workflows, including harvest from OGC capabilities documents, Drupal-based web applications, transformation from tabular compilations. Catalog search is implemented using the ESRI Geoportal open-source server. We are pursuing various client applications to demonstrated discovery and utilization of the data services. Currently operational applications allow catalog search and data acquisition from map services in an ESRI ArcMap extension, a catalog browse and search application built on openlayers and Django. We are developing use cases and requirements for other applications to utilize geothermal data services for resource exploration and evaluation.

  3. Strategic Roadmap for the U.S. Geoscience Information Network

    Science.gov (United States)

    Allison, M. L.; Gallagher, K. T.; Richard, S. M.; Hutchison, V. B.

    2012-04-01

    An external advisory working group has prepared a 5-year strategic roadmap for the U.S. Geoscience Information Network (USGIN). USGIN is a partnership of the Association of American State Geologists (AASG) and the U.S. Geological Survey (USGS), who formally agreed in 2007 to 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 intention of the USGIN is to benefit the geological surveys by reducing the cost of online data publication and access provision, and to benefit society through easier (lower cost) access to public domain geoscience data. This information supports environmental planning, resource-development, hazard mitigation design, and decision-making. USGIN supposes that sharing resources for system development and maintenance, standardizing data discovery and creating better access mechanisms, causes cost of data access and maintenance to be reduced. Standardization in a wide variety of business domains provides economic benefits that range between 0.2 and 0.9% of the gross national product. We suggest that the economic benefits of standardization also apply in the informatics domain. Standardized access to rich data resources will create collaborative opportunities in science and business. Development and use of shared protocols and interchange formats for data publication will create a market for user applications, facilitating geoscience data discovery and utility for the benefit of society. The USGIN Working Group envisions further development of tools and capabilities, in addition to extending the community of practice that currently involves geoinformatics practitioners from the USGS and AASG. Promoting engagement and participation of the state geological surveys, and increasing communication between the states, USGS, and other

  4. ENERGY-NET (Energy, Environment and Society Learning Network): Best Practices to Enhance Informal Geoscience Learning

    Science.gov (United States)

    Rossi, R.; Elliott, E. M.; Bain, D.; Crowley, K. J.; Steiner, M. A.; Divers, M. T.; Hopkins, K. G.; Giarratani, L.; Gilmore, M. E.

    2014-12-01

    While energy links all living and non-living systems, the integration of energy, the environment, and society is often not clearly represented in 9 - 12 classrooms and informal learning venues. However, objective public learning that integrates these components is essential for improving public environmental literacy. ENERGY-NET (Energy, Environment and Society Learning Network) is a National Science Foundation funded initiative that uses an Earth Systems Science framework to guide experimental learning for high school students and to improve public learning opportunities regarding the energy-environment-society nexus in a Museum setting. One of the primary objectives of the ENERGY-NET project is to develop a rich set of experimental learning activities that are presented as exhibits at the Carnegie Museum of Natural History in Pittsburgh, Pennsylvania (USA). Here we detail the evolution of the ENERGY-NET exhibit building process and the subsequent evolution of exhibit content over the past three years. While preliminary plans included the development of five "exploration stations" (i.e., traveling activity carts) per calendar year, the opportunity arose to create a single, larger topical exhibit per semester, which was assumed to have a greater impact on museum visitors. Evaluative assessments conducted to date reveal important practices to be incorporated into ongoing exhibit development: 1) Undergraduate mentors and teen exhibit developers should receive additional content training to allow richer exhibit materials. 2) The development process should be distributed over as long a time period as possible and emphasize iteration. This project can serve as a model for other collaborations between geoscience departments and museums. In particular, these practices may streamline development of public presentations and increase the effectiveness of experimental learning activities.

  5. GIRAF 2009 - Taking action on geoscience information across Africa

    Science.gov (United States)

    Asch, Kristine

    2010-05-01

    A workshop in Windhoek Between 16 and 20 March 2009 97 participants from 26 African nations, plus four European countries, and representatives from UNESCO, ICSU and IUGS-CGI, held a workshop at the Namibian Geological Survey in Windhoek. The workshop - GIRAF 2009 - Geoscience InfoRmation In Africa - was organised by the Federal Institute for Geosciences and Natural Resources (BGR) and the Geological Survey of Namibia (GSN) at the Namibian Ministry for Mines and Energy and was mainly financed by the German Federal Ministry for Economic Cooperation and Development (BMZ), supported by the IUGS Commission for the Management and Application of Geoscience Information (CGI). The participants came to Namibia to discuss one of the most topical issues in the geological domain - geoscience information and informatics. A prime objective was to set up a pan-African network for exchanging knowledge about geoscience information. GIRAF 2009 builds on the results of a preparatory workshop organised by the CGI and funded by the IUGS, which was held in June 2006 in Maputo at the 21st Colloquium on African Geology - CAG21. This preparatory workshop concentrated on identifying general problems and needs of African geological institutions in discussion with representatives of African geological surveys, universities, private companies and non-governmental organisations. The GIRAF 2009 workshop used the results of this discussion to plan and design its programme Aims In detail the five aims of the GIRAF2009 workshop were: to bring together relevant African authorities, national experts and stakeholders in geoscience information; to initiate the building of a pan-African geoscience information knowledge network to exchange and share geoscience information knowledge and best practice; to integrate the authorities, national experts and experts across Africa into global geoinformation initiatives; to develop a strategic plan for Africa's future in geoscience information; to make Africa a

  6. Developing A Large-Scale, Collaborative, Productive Geoscience Education Network

    Science.gov (United States)

    Manduca, C. A.; Bralower, T. J.; Egger, A. E.; Fox, S.; Ledley, T. S.; Macdonald, H.; Mcconnell, D. A.; Mogk, D. W.; Tewksbury, B. J.

    2012-12-01

    Geoscience Departments sought to create the same type of shared information base that was supporting individual faculty for departments. The Teach the Earth portal and its underlying web development tools were used by NSF-funded projects in education to disseminate their results. Leveraging these funded efforts, the Climate Literacy Network has expanded this geoscience education community to include individuals broadly interested in fostering climate literacy. Most recently, the InTeGrate project is implementing inter-institutional collaborative authoring, testing and evaluation of curricular materials. While these projects represent only a fraction of the activity in geoscience education, they are important drivers in the development of a large, national, coherent geoscience education network with the ability to collaborate and disseminate information effectively. Importantly, the community is open and defined by active participation. Key mechanisms for engagement have included alignment of project activities with participants needs and goals; productive face-to-face and virtual workshops, events, and series; stipends for completion of large products; and strong supporting staff to keep projects moving and assist with product production. One measure of its success is the adoption and adaptation of resources and models by emerging projects, which results in the continued growth of the network.

  7. Geosciences Information for Teachers (GIFT) in Catalonia

    Science.gov (United States)

    Camerlenghi, Angelo; Cacho, Isabel; Calvo, Eva; Demol, Ben; Sureda, Catalina; Artigas, Carme; Vilaplana, Miquel; Porbellini, Danilo; Rubio, Eduard

    2010-05-01

    CATAGIFT is the acronym of the project supported by the Catalan Government (trough the AGAUR agency) to support the activities of the EGU Committee on Education in Catalonia. The objective of this project is two-fold: 1) To establish a coordinated action to support the participation of three Catalan science teachers of primary and secondary schools in the GIFT Symposium, held each year during the General Assembly of the European Geosciences Union (EGU). 2) To produce a video documentary each year on hot topics in geosciences. The documentary is produced in Catalan, Spanish and English and is distributed to the Catalan science teachers attending the annual meeting organized by the Institute of Education Sciences and the Faculty of Geology of the University together with the CosmoCaixa Museum of Barcelona, to the international teachers attending the EGU GIFT Workshop, and to other schools in the Spanish territory. In the present-day context of science dissemination through documentaries and television programs there is a dominance of products of high technical quality and very high costs sold and broadcasted world wide. The wide spread of such products tends to standardize scientific information, not only in its content, but also in the format used for communicating science to the general public. In the field of geosciences in particular, there is a scarcity of products that combine high scientific quality and accessible costs to illustrate aspects of the natural life of our planet Earth through the results of the work of individual researchers and / or research groups. The scientific documentaries produced by CATAGIFT pursue the objective to support primary and secondary school teachers to critically interpret scientific information coming from the different media (television, newspapers, magazines, audiovisual products), in a way that they can transmit to their students. CataGIFT has created a series of documentaries called MARENOSTRUM TERRANOSTRA designed and

  8. The ENGAGE Workshop: Encouraging Networks between Geoscientists and Geoscience Education Researchers

    Science.gov (United States)

    Hubenthal, M.; LaDue, N.; Taber, J.

    2015-12-01

    The geoscience education community has made great strides in the study of teaching and learning at the undergraduate level, particularly with respect to solid earth geology. Nevertheless, the 2012 National Research Council report, Discipline-based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering suggests that the geosciences lag behind other science disciplines in the integration of education research within the discipline and the establishment of a broad research base. In January 2015, early career researchers from earth, atmospheric, ocean, and polar sciences and geoscience education research (GER) gathered for the ENGAGE workshop. The primary goal of ENGAGE was to broaden awareness of discipline-based research in the geosciences and catalyze relationships and understanding between these groups of scientists. An organizing committee of geoscientists and GERs designed a two-day workshop with a variety of activities to engage participants in the establishment of a shared understanding of education research and the development of project ideas through collaborative teams. Thirty-three participants were selected from over 100 applicants, based on disciplinary diversity and demonstrated interest in geoscience education research. Invited speakers and panelists also provided examples of successful cross-disciplinary collaborations. As a result of this workshop, participants indicated that they gained new perspectives on geoscience education and research, networked outside of their discipline, and are likely to increase their involvement in geoscience education research. In fact, 26 of 28 participants indicated they are now better prepared to enter into cross-disciplinary collaborations within the next year. The workshop evaluation revealed that the physical scientists particularly valued opportunities for informal networking and collaborative work developing geoscience education research projects. Meanwhile, GERs valued

  9. Building a Network of Internships for a Diverse Geoscience Community

    Science.gov (United States)

    Sloan, V.; Haacker-Santos, R.; Pandya, R.

    2011-12-01

    Individual undergraduate internship programs, however effective, are not sufficient to address the lack of diversity in the geoscience workforce. Rather than competing with each other for a small pool of students from historically under-represented groups, REU and internship programs might share recruiting efforts and application processes. For example, in 2011, the RESESS program at UNAVCO and the SOARS program at UCAR shared recruiting websites and advertising. This contributed to a substantial increase in the number of applicants to the RESESS program, the majority of which were from historically under-represented groups. RESESS and SOARS shared qualified applications with other REU/internship programs and helped several additional minority students secure summer internships. RESESS and SOARS also leveraged their geographic proximity to pool resources for community building activities, a two-day science field trip, a weekly writing workshop, and our final poster session. This provided our interns with an expanded network of peers and gave our staff opportunities to work together on planning. Recently we have reached out to include other programs and agencies in activities for our interns, such as mentoring high-school students, leading outreach to elementary school students, and exposing our interns to geoscience careers options and graduate schools. Informal feedback from students suggests that they value these interactions and appreciate learning with interns from partner programs. Through this work, we are building a network of program managers who support one another professionally and share effective strategies. We would like to expand that network, and future plans include a workshop with university partners and an expanded list of REU programs to explore further collaborations.

  10. Geoscience communication in Namibia: YES Network Namibia spreading the message to young scientists

    Science.gov (United States)

    Mhopjeni, Kombada

    2015-04-01

    The Young Earth Scientists (YES) Network is an international association for early-career geoscientists under the age of 35 years that was formed as a result of the International Year of Planet Earth (IYPE) in 2007. YES Network aims to establish an interdisciplinary global network of early-career geoscientists to solve societal issues/challenges using geosciences, promote scientific research and interdisciplinary networking, and support professional development of early-career geoscientists. The Network has several National Chapters including one in Namibia. YES Network Namibia (YNN) was formed in 2009, at the closing ceremony of IYPE in Portugal and YNN was consolidated in 2013 with the current set-up. YNN supports the activities and goals of the main YES Network at national level providing a platform for young Namibian scientists with a passion to network, information on geoscience opportunities and promoting earth sciences. Currently most of the members are geoscientists from the Geological Survey of Namibia (GSN) and University of Namibia. In 2015, YNN plans to carry out two workshops on career guidance, establish a mentorship program involving alumni and experienced industry experts, and increase involvement in outreach activities, mainly targeting high school pupils. Network members will participate in a range of educational activities such as school career and science fairs communicating geoscience to the general public, learners and students. The community outreach programmes are carried out to increase awareness of the role geosciences play in society. In addition, YNN will continue to promote interactive collaboration between the University of Namibia, Geological Survey of Namibia (GSN) and Geological Society of Namibia. Despite the numerous potential opportunities YNN offers young scientists in Namibia and its presence on all major social media platforms, the Network faces several challenges. One notable challenge the Network faces is indifference among

  11. Information extraction and knowledge graph construction from geoscience literature

    Science.gov (United States)

    Wang, Chengbin; Ma, Xiaogang; Chen, Jianguo; Chen, Jingwen

    2018-03-01

    Geoscience literature published online is an important part of open data, and brings both challenges and opportunities for data analysis. Compared with studies of numerical geoscience data, there are limited works on information extraction and knowledge discovery from textual geoscience data. This paper presents a workflow and a few empirical case studies for that topic, with a focus on documents written in Chinese. First, we set up a hybrid corpus combining the generic and geology terms from geology dictionaries to train Chinese word segmentation rules of the Conditional Random Fields model. Second, we used the word segmentation rules to parse documents into individual words, and removed the stop-words from the segmentation results to get a corpus constituted of content-words. Third, we used a statistical method to analyze the semantic links between content-words, and we selected the chord and bigram graphs to visualize the content-words and their links as nodes and edges in a knowledge graph, respectively. The resulting graph presents a clear overview of key information in an unstructured document. This study proves the usefulness of the designed workflow, and shows the potential of leveraging natural language processing and knowledge graph technologies for geoscience.

  12. AGI's Earth Science Week and Education Resources Network: Connecting Teachers to Geoscience Organizations and Classroom Resources that Support NGSS Implementation

    Science.gov (United States)

    Robeck, E.; Camphire, G.; Brendan, S.; Celia, T.

    2016-12-01

    There exists a wide array of high quality resources to support K-12 teaching and motivate student interest in the geosciences. Yet, connecting teachers to those resources can be a challenge. Teachers working to implement the NGSS can benefit from accessing the wide range of existing geoscience resources, and from becoming part of supportive networks of geoscience educators, researchers, and advocates. Engaging teachers in such networks can be facilitated by providing them with information about organizations, resources, and opportunities. The American Geoscience Institute (AGI) has developed two key resources that have great value in supporting NGSS implement in these ways. Those are Earth Science Week, and the Education Resources Network in AGI's Center for Geoscience and Society. For almost twenty years, Earth Science Week, has been AGI's premier annual outreach program designed to celebrate the geosciences. Through its extensive web-based resources, as well as the physical kits of posters, DVDs, calendars and other printed materials, Earth Science Week offers an array of resources and opportunities to connect with the education-focused work of important geoscience organizations such as NASA, the National Park Service, HHMI, esri, and many others. Recently, AGI has initiated a process of tagging these and other resources to NGSS so as to facilitate their use as teachers develop their instruction. Organizing Earth Science Week around themes that are compatible with topics within NGSS contributes to the overall coherence of the diverse array of materials, while also suggesting potential foci for investigations and instructional units. More recently, AGI has launched its Center for Geoscience and Society, which is designed to engage the widest range of audiences in building geoscience awareness. As part of the Center's work, it has launched the Education Resources Network (ERN), which is an extensive searchable database of all manner of resources for geoscience

  13. Geoscience Information for Teachers (GIFT) Workshops of the European Geoscience Union General Assembly

    Science.gov (United States)

    Arnold, Eve; Barnikel, Friedrich; Berenguer, Jean-Luc; Cifelli, Francesca; Funiciello, Francesca; King, Chris; Laj, Carlo; Macko, Stephen; Schwarz, Annegret; Smith, Phil; Summesberger, Herbert

    2017-04-01

    GIFT workshops are a two-and-a-half-day teacher enhancement workshops organized by the EGU Committee on Education and held in conjunction with the EGU annual General Assembly in Vienna, and also elsewhere in the world usually associated with large geoscience conferences. The program of each workshop focuses on a different general theme each year. Past themes have included, for example, "The solar system and beyond", "Mineral Resources", "Our changing Planet", "Natural Hazards", "Water" and "Evolution and Biodiversity". These workshops combine scientific presentations on current research in the Earth and Space Sciences, given by prominent scientists, with hands-on, inquiry-based activities that can be used by the teachers in their classrooms to explain related scientific principles or topics. Participating teachers are also invited to present their own classroom activities to their colleagues, even when not directly related to the current program. The main objective of these workshops is to communicate first-hand scientific information to teachers in primary and secondary schools, significantly shortening the time between discovery and textbook. The GIFT workshop provides the teachers with materials that can be directly incorporated into their classroom, as well as those of their colleagues at home institutions. In addition, the full immersion of science teachers in a truly scientific context (EGU General Assemblies) and the direct contact with leading geoscientists stimulates curiosity towards research that the teachers can transmit to their pupils. In addition to their scientific content, the GIFT workshops are of high societal value. The value of bringing teachers from many nations together includes the potential for networking and collaborations, the sharing of experiences and an awareness of science education as it is presented in other countries. Since 2003, the EGU GIFT workshops have brought together more than 800 teachers from more than 25 nations. At all

  14. Building an International Geosciences Network (i-GEON) for cyberinfrastructure-based Research and Education

    Science.gov (United States)

    Seber, D.; Baru, C.

    2007-05-01

    The Geosciences Network (GEON) project is a collaboration among multiple institutions to develop a cyberinfrastructure (CI) platform in support of integrative geoscience research activities. Taking advantage of the state-of-the-art information technology resources GEON researchers are building a cyberinfrastructure designed to enable data sharing, resource discovery, semantic data integration, high-end computations and 4D visualization in an easy-to-use web-based environment. The cyberinfrastructure in GEON is required to support an inherently distributed system, since the scientists, who are users as well as providers of resources, are themselves distributed. International collaborations are a natural extension of GEON; the geoscience research requires strong international collaborations. The goals of the i-GEON activities are to collaborate with international partners and jointly build a cyberinfrastructure for the geosciences to enable collaborative work environments. International partners can participate in GEON efforts, establish GEON nodes at their universities, institutes, or agencies and also contribute data and tools to the network. Via jointly run cyberinfrastructure workshops, the GEON team also introduces students, scientists, and research professionals to the concepts of IT-based geoscience research and education. Currently, joint activities are underway with the Chinese Academy of Sciences in China, the GEO Grid project at AIST in Japan, and the University of Hyderabad in India (where the activity is funded by the Indo-US Science and Technology Forum). Several other potential international partnerships are under consideration. iGEON is open to all international partners who are interested in working towards the goal of data sharing, managing and integration via IT-based platforms. Information about GEON and its international activities can be found at http:www.geongrid.org/

  15. Towards a Conceptual Design of a Cross-Domain Integrative Information System for the Geosciences

    Science.gov (United States)

    Zaslavsky, I.; Richard, S. M.; Valentine, D. W.; Malik, T.; Gupta, A.

    2013-12-01

    As geoscientists increasingly focus on studying processes that span multiple research domains, there is an increased need for cross-domain interoperability solutions that can scale to the entire geosciences, bridging information and knowledge systems, models, software tools, as well as connecting researchers and organization. Creating a community-driven cyberinfrastructure (CI) to address the grand challenges of integrative Earth science research and education is the focus of EarthCube, a new research initiative of the U.S. National Science Foundation. We are approaching EarthCube design as a complex socio-technical system of systems, in which communication between various domain subsystems, people and organizations enables more comprehensive, data-intensive research designs and knowledge sharing. In particular, we focus on integrating 'traditional' layered CI components - including information sources, catalogs, vocabularies, services, analysis and modeling tools - with CI components supporting scholarly communication, self-organization and social networking (e.g. research profiles, Q&A systems, annotations), in a manner that follows and enhances existing patterns of data, information and knowledge exchange within and across geoscience domains. We describe an initial architecture design focused on enabling the CI to (a) provide an environment for scientifically sound information and software discovery and reuse; (b) evolve by factoring in the impact of maturing movements like linked data, 'big data', and social collaborations, as well as experience from work on large information systems in other domains; (c) handle the ever increasing volume, complexity and diversity of geoscience information; (d) incorporate new information and analytical requirements, tools, and techniques, and emerging types of earth observations and models; (e) accommodate different ideas and approaches to research and data stewardship; (f) be responsive to the existing and anticipated needs

  16. Geoscience information integration and visualization research of Shandong Province, China based on ArcGIS engine

    Science.gov (United States)

    Xu, Mingzhu; Gao, Zhiqiang; Ning, Jicai

    2014-10-01

    To improve the access efficiency of geoscience data, efficient data model and storage solutions should be used. Geoscience data is usually classified by format or coordinate system in existing storage solutions. When data is large, it is not conducive to search the geographic features. In this study, a geographical information integration system of Shandong province, China was developed based on the technology of ArcGIS Engine, .NET, and SQL Server. It uses Geodatabase spatial data model and ArcSDE to organize and store spatial and attribute data and establishes geoscience database of Shangdong. Seven function modules were designed: map browse, database and subject management, layer control, map query, spatial analysis and map symbolization. The system's characteristics of can be browsed and managed by geoscience subjects make the system convenient for geographic researchers and decision-making departments to use the data.

  17. Geoscience Information for Teachers (GIFT) Workshops at the European Geoscience Union General Assembly

    Science.gov (United States)

    Macko, S. A.; Arnold, E. M.; Laj, C. E.; Barnikel, F.; Berenguer, J. L.; Schwarz, A.; Cifelli, F.; Smith, P.; Funiciello, F.; Summesberger, H.

    2017-12-01

    GIFT workshops are teacher enhancement workshops organized by the EGU Committee on Education and held in conjunction with the EGU annual General Assembly. The program focuses on a different general theme each year. Past themes have included, for example, "Energy and Sustainable Development", "The Carbon Cycle", "Mineral Resources", "The Solar System And Beyond" and "The Mediterranean". These workshops combine scientific presentations on current research in Earth and Space Sciences, given by prominent scientists attending EGU General Assemblies, with hands-on, inquiry-based activities that can be used by the teachers in their classrooms to explain related scientific principles or topics. Participating teachers are also invited to present their own classroom activities to their colleagues, regardless of the scientific topic. The main objective of these workshops is to communicate first-hand scientific information to teachers in primary and secondary schools, significantly shortening the time between discovery and textbook. The GIFT workshop provides the teachers with materials that can be directly incorporated into their classroom, as well as those of their colleagues at home institutions. In addition, the full immersion of science teachers in a truly scientific context (EGU General Assemblies) and the direct contact with leading geoscientists stimulates curiosity towards research that the teachers can transmit to their pupils. In addition to their scientific content, the GIFT workshops are of high societal value. The value of bringing teachers from many nations together includes the potential for networking and collaborations, the sharing of experiences and an awareness of science education as it is presented in other countries. Since 2003, the EGU GIFT workshops have brought together more than 700 teachers from more than 25 nations. At all previous EGU GIFT workshops teachers mingled with others from outside their own country and informally interacted with the

  18. Geoscience Information for Teachers (GIFT) Workshops at the European Geoscience Union General Assembly

    Science.gov (United States)

    Arnold, Eve; Barnikel, Friedrich; Berenguer, Jean-Luc; Cifelli, Francesca; Funiciello, Francesca; Laj, Carlo; Macko, Stephen; Schwarz, Annegret; Smith, Phil; Summesberger, Herbert

    2016-04-01

    GIFT workshops are a two-and-a-half-day teacher enhancement workshops organized by the EGU Committee on Education and held in conjunction with the EGU annual General Assembly. The program of each workshop focuses on a different general theme each year. Past themes have included, for example, "Mineral Resources", "Our changing Planet", "Natural Hazards", "Water", "Evolution and Biodiversity" and "Energy and Sustainable Development". These workshops combine scientific presentations on current research in the Earth and Space Sciences, given by prominent scientists attending EGU General Assemblies, with hands-on, inquiry-based activities that can be used by the teachers in their classrooms to explain related scientific principles or topics. Participating teachers are also invited to present their own classroom activities to their colleagues, even when not directly related to the current program. The main objective of these workshops is to communicate first-hand scientific information to teachers in primary and secondary schools, significantly shortening the time between discovery and textbook. The GIFT workshop provides the teachers with materials that can be directly incorporated into their classroom, as well as those of their colleagues at home institutions. In addition, the full immersion of science teachers in a truly scientific context (EGU General Assemblies) and the direct contact with leading geoscientists stimulates curiosity towards research that the teachers can transmit to their pupils. In addition to their scientific content, the GIFT workshops are of high societal value. The value of bringing teachers from many nations together includes the potential for networking and collaborations, the sharing of experiences and an awareness of science education as it is presented in other countries. Since 2003, the EGU GIFT workshops have brought together more than 700 teachers from more than 25 nations. At all previous EGU GIFT workshops teachers mingled with others

  19. Advanced functional network analysis in the geosciences: The pyunicorn package

    Science.gov (United States)

    Donges, Jonathan F.; Heitzig, Jobst; Runge, Jakob; Schultz, Hanna C. H.; Wiedermann, Marc; Zech, Alraune; Feldhoff, Jan; Rheinwalt, Aljoscha; Kutza, Hannes; Radebach, Alexander; Marwan, Norbert; Kurths, Jürgen

    2013-04-01

    Functional networks are a powerful tool for analyzing large geoscientific datasets such as global fields of climate time series originating from observations or model simulations. pyunicorn (pythonic unified complex network and recurrence analysis toolbox) is an open-source, fully object-oriented and easily parallelizable package written in the language Python. It allows for constructing functional networks (aka climate networks) representing the structure of statistical interrelationships in large datasets and, subsequently, investigating this structure using advanced methods of complex network theory such as measures for networks of interacting networks, node-weighted statistics or network surrogates. Additionally, pyunicorn allows to study the complex dynamics of geoscientific systems as recorded by time series by means of recurrence networks and visibility graphs. The range of possible applications of the package is outlined drawing on several examples from climatology.

  20. Information needs and behaviors of geoscience educators: A grounded theory study

    Science.gov (United States)

    Aber, Susan Ward

    2005-12-01

    Geoscience educators use a variety of resources and resource formats in their classroom teaching to facilitate student understanding of concepts and processes that define subject areas considered in the realm of geoscience. In this study of information needs and behaviors of geoscience educators, the researcher found that participants preferred visual media such as personal photographic and digital images, as well as published figures, animations, and cartoons, and that participants bypassed their academic libraries to meet these information needs. In order to investigate the role of information in developing introductory geoscience course and instruction, a grounded theory study was conducted through a qualitative paradigm with an interpretive approach and naturalistic inquiry. The theoretical and methodological framework was constructivism and sense-making. Research questions were posited on the nature of geoscience subject areas and the resources and resource formats used in conveying geoscience topics to science and non-science majors, as well as educators' preferences and concerns with curriculum and instruction. The underlying framework was to investigate the place of the academic library and librarian in the sense-making, constructivist approach of geoscience educators. A purposive sample of seven geoscience educators from four universities located in mid-western United States was identified as exemplary teachers by department chairpersons. A triangulation of data collection methods included semi-structured interviews, document reviews, and classroom observations. Data were analyzed using the constant comparative method, which included coding, categorizing, and interpreting for patterns and relationships. Contextual factors were identified and a simple model resulted showing the role of information in teaching for these participants. While participants developed lectures and demonstrations using intrapersonal knowledge and personal collections, one barrier

  1. The Earth Science Women's Network (ESWN): A member-driven network approach to supporting women in the Geosciences

    Science.gov (United States)

    Hastings, M. G.; Kontak, R.; Adams, A. S.; Barnes, R. T.; Fischer, E. V.; Glessmer, M. S.; Holloway, T.; Marin-Spiotta, E.; Rodriguez, C.; Steiner, A. L.; Wiedinmyer, C.; Laursen, S. L.

    2013-12-01

    The Earth Science Women's Network (ESWN) is an organization of women geoscientists, many in the early stages of their careers. The mission of ESWN is to promote success in scientific careers by facilitating career development, community, informal mentoring and support, and professional collaborations. ESWN currently connects nearly 2000 women across the globe, and includes graduate students, postdoctoral scientists, tenure and non-tenure track faculty from diverse colleges and universities, program managers, and government, non-government and industry researchers. In 2009, ESWN received an NSF ADVANCE PAID award, with the primary goals to grow our membership to serve a wider section of the geosciences community, to design and administer career development workshops, to promote professional networking at scientific conferences, and to develop web resources to build connections, collaborations, and peer mentoring for and among women in the Earth Sciences. Now at the end of the grant, ESWN members have reported gains in a number of aspects of their personal and professional lives including: knowledge about career resources; a greater understanding of the challenges facing women in science and resources to overcome them; a sense of community and less isolation; greater confidence in their own career trajectories; professional collaborations; emotional support on a variety of issues; and greater engagement and retention in scientific careers. The new ESWN web center (www.ESWNonline.org), a major development supported by NSF ADVANCE and AGU, was created to facilitate communication and networking among our members. The web center offers a state-of-the-art social networking platform and features: 1) a public site offering information on ESWN, career resources for all early career scientists, and a 'members' spotlight' highlighting members' scientific and professional achievements; and 2) a password protected member area where users can personalize profiles, create and

  2. A Geoscience Workforce Model for Non-Geoscience and Non-Traditional STEM Students

    Science.gov (United States)

    Liou-Mark, J.; Blake, R.; Norouzi, H.; Vladutescu, D. V.; Yuen-Lau, L.

    2016-12-01

    The Summit on the Future of Geoscience Undergraduate Education has recently identified key professional skills, competencies, and conceptual understanding necessary in the development of undergraduate geoscience students (American Geosciences Institute, 2015). Through a comprehensive study involving a diverse range of the geoscience academic and employer community, the following professional scientist skills were rated highly important: 1) critical thinking/problem solving skills; 2) effective communication; 3) ability to access and integrate information; 4) strong quantitative skills; and 5) ability to work in interdisciplinary/cross cultural teams. Based on the findings of the study above, the New York City College of Technology (City Tech) has created a one-year intensive training program that focusses on the development of technical and non-technical geoscience skills for non-geoscience, non-traditional STEM students. Although City Tech does not offer geoscience degrees, the primary goal of the program is to create an unconventional pathway for under-represented minority STEM students to enter, participate, and compete in the geoscience workforce. The selected cohort of STEM students engage in year-round activities that include a geoscience course, enrichment training workshops, networking sessions, leadership development, research experiences, and summer internships at federal, local, and private geoscience facilities. These carefully designed programmatic elements provide both the geoscience knowledge and the non-technical professional skills that are essential for the geoscience workforce. Moreover, by executing this alternate, robust geoscience workforce model that attracts and prepares underrepresented minorities for geoscience careers, this unique pathway opens another corridor that helps to ameliorate the dire plight of the geoscience workforce shortage. This project is supported by NSF IUSE GEOPATH Grant # 1540721.

  3. Integrating Semantic Information in Metadata Descriptions for a Geoscience-wide Resource Inventory.

    Science.gov (United States)

    Zaslavsky, I.; Richard, S. M.; Gupta, A.; Valentine, D.; Whitenack, T.; Ozyurt, I. B.; Grethe, J. S.; Schachne, A.

    2016-12-01

    Integrating semantic information into legacy metadata catalogs is a challenging issue and so far has been mostly done on a limited scale. We present experience of CINERGI (Community Inventory of Earthcube Resources for Geoscience Interoperability), an NSF Earthcube Building Block project, in creating a large cross-disciplinary catalog of geoscience information resources to enable cross-domain discovery. The project developed a pipeline for automatically augmenting resource metadata, in particular generating keywords that describe metadata documents harvested from multiple geoscience information repositories or contributed by geoscientists through various channels including surveys and domain resource inventories. The pipeline examines available metadata descriptions using text parsing, vocabulary management and semantic annotation and graph navigation services of GeoSciGraph. GeoSciGraph, in turn, relies on a large cross-domain ontology of geoscience terms, which bridges several independently developed ontologies or taxonomies including SWEET, ENVO, YAGO, GeoSciML, GCMD, SWO, and CHEBI. The ontology content enables automatic extraction of keywords reflecting science domains, equipment used, geospatial features, measured properties, methods, processes, etc. We specifically focus on issues of cross-domain geoscience ontology creation, resolving several types of semantic conflicts among component ontologies or vocabularies, and constructing and managing facets for improved data discovery and navigation. The ontology and keyword generation rules are iteratively improved as pipeline results are presented to data managers for selective manual curation via a CINERGI Annotator user interface. We present lessons learned from applying CINERGI metadata augmentation pipeline to a number of federal agency and academic data registries, in the context of several use cases that require data discovery and integration across multiple earth science data catalogs of varying quality

  4. Dynamic use of geoscience information to develop scientific understanding for a nuclear waste repository

    International Nuclear Information System (INIS)

    Cook, N.G.W.; Tsang, C.F.

    1990-01-01

    This paper discusses the development and safety evaluation of a nuclear waste geologic repository. Scientific understanding dependent upon information from a number of geoscience disciplines is described. A discussion is given on the dynamic use of the information through the different stages. The authors point out the need for abstracting, deriving and updating a quantitative spatial and process model (QSPM) to develop a scientific understanding of site responses as a crucial element in the dynamic procedure

  5. Digital image integration technique of multi-geoscience information dominated by aerial radiometric measurements

    International Nuclear Information System (INIS)

    Liu Dechang; Sun Maorong; Zhu Deling; Zhang Jingbo; He Jianguo; Dong Xiuzhen

    1992-02-01

    The geologic metallogenetic environment of uranium at Lian Shan Guan region has been studied by using digital image integration technique of multi-geoscience information with aerial radiometric measurements. It includes the classification of uranium-bearing rock, recognizing patterns of ore-forming and geologic mapping in ore field. Some new tectonic structure was found in this region that gives significant information for further exploring of uranium ore. After multi-parameters screening of aerial radiometric data, patterns recognizing and multi-geoscience information integration analysis, four prospective metallogenetic zones were predicted, and the predication was proved by further geologic survey. Three of the four zones are very encouraging, where ore-forming structures, hydrothermal deposits, wall-rock alteration, primary and secondary uranium ore and rich uranium mineralization are discovered. The department of geologic exploring has decided that these zones will enjoy priority in the examination for further prospecting of uranium ores

  6. Archive of Geosample Information from the Geological Survey of Canada Atlantic (GSC A) Marine Geoscience Curation Facility

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Geological Survey of Canada Atlantic (GSC A) Marine Geoscience Curation Facility contributed information on 40,428 cores, grabs, and dredges in their holdings to...

  7. The application of geographic information system (GIS) in forensics geoscience

    OpenAIRE

    McKinley, Jennifer

    2017-01-01

    Advances in technological developments in Geographic Information Systems (GIS) has enabled the application of GIS in landscape mapping, environmental management, natural hazard risk and disaster management. As geographi- cal information becomes more widely available through satel- lite and aerial imagery, the cost of software decreases and GIS expertise expands, it is most likely that the use of GIS will increase. The methodology has practical applications for police, crime scene investigator...

  8. Canadian Geoscience Education Network (CGEN): Fostering Excellence in Earth Science Education and Outreach

    Science.gov (United States)

    Haidl, F. M.; Vodden, C.; Bates, J. L.; Morgan, A. V.

    2009-05-01

    CGEN, the outreach arm of the Canadian Federation of Earth Sciences, is a network of more than 270 individuals from all over Canada who work to promote geoscience education and public awareness of science. CGEN's priorities are threefold: to improve the quality of Earth science education delivered in our primary and secondary schools; to raise public awareness about the Earth sciences and their impact on everyday life; and to encourage student interest in the Earth sciences as a career option. These priorities are supported by CGEN's six core programs: 1) The national EdGEO program (www.edgeo.org), initiated in the 1970s, supports Earth science workshops for teachers. These workshops, organized by teams of local educators and geoscientists, provide teachers with "enhanced knowledge, classroom resources and increased confidence" to more effectively teach Earth science. In 2008, a record 521 teachers attended 14 EdGEO workshops. 2) EarthNet (www.earthnet-geonet.ca) is a virtual resource centre that provides support for teachers and for geoscientists involved in education and outreach. In 2008, EarthNet received a $11,500 grant from Encana Corporation to develop energy-related content. 3) The new Careers in Earth Science website (www.earthsciencescanada.com/careers), launched in October 2008, enhances CGEN's capacity to encourage students to pursue a career in the Earth sciences. This project exemplifies the value of collaboration with other organizations. Seven groups provided financial support for the project and many other organizations and individuals contributed in-kind support. 4) Geoscape Canada and Waterscape Canada, programs led by the Geological Survey of Canada, communicate practical Earth science information to teachers, students, and other members of communities across Canada through a series of electronic and hard-copy posters and other resources. Many of the resources created from 1998 to 2007 are available online (www.geoscape.nrcan.gc.ca). A northern

  9. Overlay networks toward information networking

    CERN Document Server

    Tarkoma, Sasu

    2010-01-01

    With their ability to solve problems in massive information distribution and processing, while keeping scaling costs low, overlay systems represent a rapidly growing area of R&D with important implications for the evolution of Internet architecture. Inspired by the author's articles on content based routing, Overlay Networks: Toward Information Networking provides a complete introduction to overlay networks. Examining what they are and what kind of structures they require, the text covers the key structures, protocols, and algorithms used in overlay networks. It reviews the current state of th

  10. Congenital Heart Information Network

    Science.gov (United States)

    ... heart defects. Important Notice The Congenital Heart Information Network website is temporarily out of service. Please join ... and Uwe Baemayr for The Congenital Heart Information Network Exempt organization under Section 501(c)3. Copyright © ...

  11. Information network architectures

    Science.gov (United States)

    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.

  12. The Role of Geoscience Information in Reducing Catastrophic Loss Using a Web-Based Economics Experiment

    Science.gov (United States)

    Bernknopf, Richard L.; Brookshire, David S.; Ganderton, Philip T.

    2003-01-01

    What role can geoscience information play in the assessment of risk and the value of insurance, especially for natural hazard type risks? In an earlier, related paper Ganderton and others (2000) provided subjects with relatively simple geoscience information concerning natural hazard-type risks. Their research looked at how subjects purchase insurance when faced with relatively low probability but high loss risks of the kind that characterize natural hazards and now, increasingly, manmade disasters. They found evidence to support the expected utility theory (definitions of economics terms can be found in a glossary at the end of report), yet there remained the implication that subjects with excessive aversion to risk were willing to pay considerably more for insurance than the actuarially fair price plus any reasonable risk premium. Here, we report the results of additional experiments that provide further support for the basic postulates of expected utility theory. However, these new experiments add considerably to the decision environment facing subjects by offering an option to purchase geoscientific information that would assist them when calculating expected losses from hazards more accurately. Using an Internet-based mechanism to present information and gather data in an experimental setting, this research provided subjects with considerable textual and graphical information, and time to process it. Over a period of three months, almost 400 subjects participated in on-line experiments that generated approximately 22,000 usable data points for the empirical analysis discussed in this report. In the design of the experiment, we modeled the decisions to purchase (1) a detailed map giving subjects more information regarding the distribution of losses from a hazard and (2) insurance to indemnify them from any losses should they occur. On the basis of this design, we find strong evidence in support of the expected utility theory. Many of the findings reinforce

  13. Dynamic use of geoscience information to develop scientific understanding for a nuclear waste repository

    International Nuclear Information System (INIS)

    Cook, N.G.W.; Tsang, C.F.

    1990-01-01

    The development and safety evaluation of a nuclear waste geologic repository require a proper scientific understanding of the site response. Such scientific understanding depends on information from a number of geoscience disciplines, including geology, geophysics, geochemistry, geomechanics and hydrogeology. The information comes in four stages: (1) general regional survey data base, (2) surface-based testing, (3) exploratory shaft testing, and (4) repository construction and evaluation. A discussion is given on the dynamic use of the information through the different stages. We point out the need for abstracting, deriving and updating a quantitative spatial and process model (QSPM) to develop a scientific understanding of site responses as a crucial element in the dynamic procedure. 2 figs

  14. Leveraging Global Geo-Data and Information Technologies to Bring Authentic Research Experiences to Students in Introductory Geosciences Courses

    Science.gov (United States)

    Ryan, J. G.

    2014-12-01

    The 2012 PCAST report identified the improvement of "gateway" science courses as critical to increasing the number of STEM graduates to levels commensurate with national needs. The urgent need to recruit/ retain more STEM graduates is particularly acute in the geosciences, where growth in employment opportunities, an aging workforce and flat graduation rates are leading to substantial unmet demand for geoscience-trained STEM graduates. The need to increase the number of Bachelors-level geoscience graduates was an identified priority at the Summit on the Future of Undergraduate Geoscience Education (http://www.jsg.utexas.edu/events/future-of-geoscience-undergraduateeducation/), as was the necessity of focusing on 2-year colleges, where a growing number of students are being introduced to geosciences. Undergraduate research as an instructional tool can help engage and retain students, but has largely not been part of introductory geoscience courses because of the challenge of scaling such activities for large student numbers. However, burgeoning information technology resources, including publicly available earth and planetary data repositories and freely available, intuitive data visualization platforms makes structured, in-classroom investigations of geoscience questions tractable, and open-ended student inquiry possible. Examples include "MARGINS Mini-Lessons", instructional resources developed with the support of two NSF-DUE grant awards that involve investigations of marine geosciences data resources (overseen by the Integrated Earth Data Applications (IEDA) portal: www.iedadata.org) and data visualization using GeoMapApp (www.geomapapp.org); and the growing suite of Google-Earth based data visualization and exploration activities overseen by the Google Earth in Onsite and Distance Education project (geode.net). Sample-based investigations are also viable in introductory courses, thanks to remote instrument operations technologies that allow real student

  15. Increasing Geoscience Literacy and Public Support for the Earthscope National Science Initiative Through Informal Education

    Science.gov (United States)

    Aubele, J. C.

    2005-12-01

    Geology and geophysics are frequently perceived by the student, teacher, or adult non-geologist as "difficult to understand"; however, most non-geologists of all ages appreciate geological landforms such as mountains, volcanoes and canyons, and are interested in phenomena such as earthquakes and natural resources. Most people are also interested in local connections and newsworthy programs and projects. Therefore, the EarthScope Project is a perfect opportunity to excite and educate the public about solid-Earth geoscience research and to increase the non-geologist's understanding of Earth's dynamic processes. As the EarthScope Project sweeps across the country, the general public must be made aware of the magnitude, scope, excitement, and achievements of this national initiative. However, EarthScope science is difficult for the non-scientist to understand. The project is large-scale and long-term, and its data sets consist of maps, structural graphics, 3D and 4D visualizations, and the integration of many different geophysical instruments, all elements that are difficult for the non-scientist to understand. Targeted programs for students, teachers, and visitors to the National Parks will disseminate EarthScope information; in addition, museums and other informal science education centers can also play an important role in translating scientific research for the general public. Research on learning in museums has shown that museums educate an audience that is self-selected and self-directed (non-captive), includes family/groups, multigenerational, and repeat visitors, and requires presentation of information for a variety of learning styles. Informal science centers have the following advantages in geoscience-related education: (1) graphics/display expertise; (2) flexibility in approach and programming; (3) ability to quickly produce exhibits, educational programming, and curricula themed to specific topics of interest; (4) inclusion of K-12 teachers in the

  16. National Network for Immunization Information

    Science.gov (United States)

    ... American College of Obstetricians and Gynecologists . © Copyright National Network for Immunization Information. The information contained in the National Network for Immunization Information Web site should not be ...

  17. Information Networks in Biomedicine

    Science.gov (United States)

    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,…

  18. NIDDK Information Network (DKnet)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The NIDDK Information Network serves the needs of basic and clinical investigators by providing seamless access to large pools of data relevant to the mission of...

  19. ED51: Using International Networks to Develop the Future Global Geoscience Workforce

    Science.gov (United States)

    Velasco, E. E.; Pangman, P.; Jacobs, R. L.

    2011-12-01

    Developed nations face the immediate need to replace the current wave of retiring geoscientists at the same time developing nations need to build an infrastructure to train future geoscientists. But what does a successful geoscientist look like? Recruiters seem to favor candidates from respected universities that pair applied book knowledge with excellent communication skills and the ability to take a multidisciplinary approach to challenges. Students should be global thinking, business minded, and socially aware. The Society of Exploration Geophysicists as a successful global society addresses the needs of a growing diverse membership through an international approach. Student membership has doubled over the past five years to almost 10,000. The Society is building momentum through targeted, yet diverse programs. Students are eager to participate in the unique SEG/Chevron Student Leadership Symposium, SEG/ExxonMobil Student Education Program, Challenge Bowls, Student Expositions, Honorary Lecturer presentations and related events. These are transformative educational opportunities that provide the impetus for expanded and very effective international networking and transfer of knowledge. As SEG's students build on these relationships and newly acquired leadership skills, they affect the scope and breadth of SEG Student Chapter activities. There has been a resulting increase in multi-country field camps. The Geoscientists Without Borders° humanitarian program provides cross-cultural field opportunities that demonstrate how applied geoscience can make a difference in the global society, while providing students with valuable workforce skills that employers seek. These collaborative efforts are facilitated by social media and on-line communities that cause boundaries to dissolve and time zones to become irrelevant.

  20. Social Technologies to Jump Start Geoscience Careers

    Science.gov (United States)

    Keane, Christopher; Martinez, Cynthia; Gonzales, Leila

    2010-05-01

    Collaborative and social technologies have been increasingly used to facilitate distributed data collection and observation in science. However, "Web 2.0" and basic social media are seeing limited coordinated use in building student and early-career geoscientists knowledge and understanding of the profession and career for which they have undertaken. The current generation of geology students and early career professionals are used to ready access to myriad of information and interaction opportunities, but they remain largely unaware about the geoscience profession, what the full scope of their opportunities are, and how to reach across institutional and subdisciplinary boundaries to build their own professional network. The American Geological Institute Workforce Program has tracked and supported the human resources of the geosciences since 1952. With the looming retirement of Baby Boomers, increasing demand for quality geoscientists, and a continued modest supply of students entering the geosciences, AGI is working to strengthen the human resource pipeline in the geosciences globally. One aspect of this effort is the GeoConnection Network, which is an integrated set of social networking, media sharing and communication Web 2.0 applications designed to engage students in thinking about careers in the geosciences and enabling them to build their own personal professional network. Developed by the American Geological Institute (AGI), GeoConnection links practicing and prospective geoscientists in an informal setting to share information about the geoscience profession, including student and career opportunities, current events, and future trends in the geosciences. The network includes a Facebook fan page, YouTube Channel, Twitter account and GeoSpectrum blog, with the goal of helping science organizations and departments recruit future talent to the geoscience workforce. On the social-networking platform, Facebook, the GeoConnection page is a forum for students and

  1. Geoscience Education Research: A Brief History, Context and Opportunities

    Science.gov (United States)

    Mogk, D. W.; Manduca, C. A.; Kastens, K. A.

    2011-12-01

    DBER combines knowledge of teaching and learning with deep knowledge of discipline-specific science content. It describes the discipline-specific difficulties learners face and the specialized intellectual and instructional resources that can facilitate student understanding (NRC, 2011). In the geosciences, content knowledge derives from all the "spheres, the complex interactions of components of the Earth system, applications of first principles from allied sciences, an understanding of "deep time", and approaches that emphasize the interpretive and historical nature of geoscience. Insights gained from the theory and practice of the cognitive and learning sciences that demonstrate how people learn, as well as research on learning from other STEM disciplines, have helped inform the development of geoscience curricular initiatives. The Earth Science Curriculum Project (1963) was strongly influenced by Piaget and emphasized hands-on, experiential learning. Recognizing that education research was thriving in related STEM disciplines a NSF report (NSF 97-171) recommended "... that GEO and EHR both support research in geoscience education, helping geoscientists to work with colleagues in fields such as educational and cognitive psychology, in order to facilitate development of a new generation of geoscience educators." An NSF sponsored workshop, Bringing Research on Learning to the Geosciences (2002) brought together geoscience educators and cognitive scientists to explore areas of mutual interest, and identified a research agenda that included study of spatial learning, temporal learning, learning about complex systems, use of visualizations in geoscience learning, characterization of expert learning, and learning environments. Subsequent events have focused on building new communities of scholars, such as the On the Cutting Edge faculty professional development workshops, extensive collections of online resources, and networks of scholars that have addressed teaching

  2. Information cascade on networks

    Science.gov (United States)

    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.

  3. Efficient Techniques of Sparse Signal Analysis for Enhanced Recovery of Information in Biomedical Engineering and Geosciences

    KAUST Repository

    Sana, Furrukh

    2016-11-01

    Sparse signals are abundant among both natural and man-made signals. Sparsity implies that the signal essentially resides in a small dimensional subspace. The sparsity of the signal can be exploited to improve its recovery from limited and noisy observations. Traditional estimation algorithms generally lack the ability to take advantage of signal sparsity. This dissertation considers several problems in the areas of biomedical engineering and geosciences with the aim of enhancing the recovery of information by exploiting the underlying sparsity in the problem. The objective is to overcome the fundamental bottlenecks, both in terms of estimation accuracies and required computational resources. In the first part of dissertation, we present a high precision technique for the monitoring of human respiratory movements by exploiting the sparsity of wireless ultra-wideband signals. The proposed technique provides a novel methodology of overcoming the Nyquist sampling constraint and enables robust performance in the presence of noise and interferences. We also present a comprehensive framework for the important problem of extracting the fetal electrocardiogram (ECG) signals from abdominal ECG recordings of pregnant women. The multiple measurement vectors approach utilized for this purpose provides an efficient mechanism of exploiting the common structure of ECG signals, when represented in sparse transform domains, and allows leveraging information from multiple ECG electrodes under a joint estimation formulation. In the second part of dissertation, we adopt sparse signal processing principles for improved information recovery in large-scale subsurface reservoir characterization problems. We propose multiple new algorithms for sparse representation of the subsurface geological structures, incorporation of useful prior information in the estimation process, and for reducing computational complexities of the problem. The techniques presented here enable significantly

  4. "Supporting Early Career Women in the Geosciences through Online Peer-Mentoring: Lessons from the Earth Science Women's Network (ESWN)"

    Science.gov (United States)

    Holloway, T.; Hastings, M. G.; Barnes, R. T.; Fischer, E. V.; Wiedinmyer, C.; Rodriguez, C.; Adams, M. S.; Marin-Spiotta, E.

    2014-12-01

    The Earth Science Women's Network (ESWN) is an international peer-mentoring organization with over 2000 members, dedicated to career development and community for women across the geosciences. Since its formation in 2002, ESWN has supported the growth of a more diverse scientific community through a combination of online and in-person networking activities. Lessons learned related to online networking and community-building will be presented. ESWN serves upper-level undergraduates, graduate students, professionals in a range of environmental fields, scientists working in federal and state governments, post-doctoral researchers, and academic faculty and scientists. Membership includes women working in over 50 countries, although the majority of ESWN members work in the U.S. ESWN increases retention of women in the geosciences by enabling and supporting professional person-to-person connections. This approach has been shown to reduce feelings of isolation among our members and help build professional support systems critical to career success. In early 2013 ESWN transitioned online activities to an advanced social networking platform that supports discussion threads, group formation, and individual messaging. Prior to that, on-line activities operated through a traditional list-serve, hosted by the National Center for Atmospheric Research (NCAR). The new web center, http://eswnonline.org, serves as the primary forum for members to build connections, seek advice, and share resources. For example, members share job announcements, discuss issues of work-life balance, and organize events at professional conferences. ESWN provides a platform for problem-based mentoring, drawing from the wisdom of colleagues across a range of career stages.

  5. Information theoretic description of networks

    Science.gov (United States)

    Wilhelm, Thomas; Hollunder, Jens

    2007-11-01

    We present a new information theoretic approach for network characterizations. It is developed to describe the general type of networks with n nodes and L directed and weighted links, i.e., it also works for the simpler undirected and unweighted networks. The new information theoretic measures for network characterizations are based on a transmitter-receiver analogy of effluxes and influxes. Based on these measures, we classify networks as either complex or non-complex and as either democracy or dictatorship networks. Directed networks, in particular, are furthermore classified as either information spreading and information collecting networks. The complexity classification is based on the information theoretic network complexity measure medium articulation (MA). It is proven that special networks with a medium number of links ( L∼n1.5) show the theoretical maximum complexity MA=(log n)2/2. A network is complex if its MA is larger than the average MA of appropriately randomized networks: MA>MAr. A network is of the democracy type if its redundancy Rdictatorship network. In democracy networks all nodes are, on average, of similar importance, whereas in dictatorship networks some nodes play distinguished roles in network functioning. In other words, democracy networks are characterized by cycling of information (or mass, or energy), while in dictatorship networks there is a straight through-flow from sources to sinks. The classification of directed networks into information spreading and information collecting networks is based on the conditional entropies of the considered networks ( H(A/B)=uncertainty of sender node if receiver node is known, H(B/A)=uncertainty of receiver node if sender node is known): if H(A/B)>H(B/A), it is an information collecting network, otherwise an information spreading network. Finally, different real networks (directed and undirected, weighted and unweighted) are classified according to our general scheme.

  6. Information networks and worker recruitment

    NARCIS (Netherlands)

    Schram, A.; Brandts, J.; Gërxhani, K.

    2007-01-01

    This paper studies experimentally how the existence of social information networks affects the ways in which firms recruit new personnel. Through such networks firms learn about prospective employees' performance in previous jobs. Assuming individualistic preferences social networks are predicted

  7. The "Week Of Planet Earth" Italy Discovering Geosciences: a More Informed Society is a More Engaged Society.

    Science.gov (United States)

    Seno, S.; Coccioni, R.

    2016-12-01

    The "Week of Planet Earth" (www.settimanaterra.org) is a science festival that involves the whole of the Italian Regions: founded in 2012, it has become the largest event of Italian Geosciences and one of the biggest European science festivals. During a week in October several locations distributed throughout the Country are animated by events, called "Geoeventi", to disseminate geosciences to the masses and deliver science education by means of a wide range of activities: hiking, walking in city and town centers, open-door at museums and research centers, guided tours, exhibitions, educational and experimental workshops for children and young people, music and art performances, food and wine events, lectures, conferences, round tables. Universities and colleges, research centers, local Authorities, cultural and scientific associations, parks and museums, professionals organize the Geoeventi. The festival aims at bringing adults and young people to Geosciences, conveying enthusiasm for scientific research and discoveries, promoting sustainable cultural tourism, aware of environmental values and distributed all over Italy. The Geoeventi shed light both on the most spectacular and on the less known geological sites, which are often a stone's throw from home. The Week of Planet Earth is growing year after year: the 2016 edition proposes 310 Geoeventi, 70 more than in 2015. The number of places involved in the project also increased and rose from 180 in 2015 to 230 in 2016. This initiative, that is also becoming a significant economic driver for many small companies active in the field of science divulgation, is analyzed, evaluated and put in a transnational network perspective.

  8. Using Network-Based Language Analysis to Bridge Expertise and Cultivate Sensitivity to Differentiated Language Use in Interdisciplinary Geoscience Research

    Science.gov (United States)

    Hannah, M. A.; Simeone, M.

    2017-12-01

    On interdisciplinary teams, expertise is varied, as is evidenced by differences in team members' language use. Developing strategies to combine that expertise and bridge differentiated language practices is especially difficult between geoscience subdisciplines as researchers assume they use a shared language—vocabulary, jargon, codes, linguistic styles. In our paper, we discuss a network-based approach used to identify varied expertise and language practices between geoscientists (n=29) on a NSF team funded to study how deep and surface Earth processes worked together to give rise to the Great Oxygenation Event. We describe how we modeled the team's expertise from a language corpus consisting of 220 oxygen-related terms frequently used by team members and then compared their understanding of the terms to develop interventions to bridge the team's expertise. Corpus terms were identified via team member interviews, observations of members' interactions at research meetings, and discourse analysis of members' publications. Comparisons of members' language use were based on a Likert scale survey that asked members to assess how they understood a term; how frequently they used a term; and whether they conceptualized a term as an object or process. Rather than use our method as a communication audit tool (Zwijze-Koning & de Jong, 2015), teams can proactively use it in a project's early stages to assess the contours of the team's differentiated expertise and show where specialized knowledge resides in the team, where latent or non-obvious expertise exists, where expertise overlaps, and where gaps are in the team's knowledge. With this information, teams can make evidence based recommendations to forward their work such as allocating resources; identifying and empowering members to serve as connectors and lead cross-functional project initiatives; and developing strategies to avoid communication barriers. The method also generates models for teaching language

  9. Agricultural informational flow in informal communication networks ...

    African Journals Online (AJOL)

    Agricultural informational flow in informal communication networks of farmers in Ghana. ... should identify such farmers who can serve as intermediaries between actors to help disseminate information in rural communities. Keywords: key communicators, farmers, rural communities, social networks, extension agents ...

  10. Improving metacognitive skills in geosciences to preserve the quality of divulged information

    Science.gov (United States)

    Arattano, Massimo; Gatti, Albertina

    2017-04-01

    abilities, through the improvement of metacognitive skills. This particular training has been recently proposed to the engineers of the Order of Engineers in Turin, as part of the offer for their permanent education. The program was intended to improve the ability of participants to both understand and learn with ease any kind of written text or oral talk and also to improve the quality of their expressive and communication capacities. The results obtained and the feedbacks received have been extremely positive. People with a very high level of education have in fact discovered, nevertheless, that their metacognitive and communication skills could be noticeably improved. The goal has been reached in a relatively short time (about 30 hours of lessons). The training has been already proposed to five different groups of engineers, during the course of 2015 and 2016, reaching more than one hundred people. The participants have reported an increased awareness of their thought processes and a significant improvement of their communication abilities. This has allowed to envision the possibility of a general improvement of the communication skills and of the quality of the available information in the entire field of geosciences.

  11. Network Centric Information Structure - Crisis Information Management

    National Research Council Canada - National Science Library

    Aarholt, Eldar; Berg, Olav

    2004-01-01

    This paper presents a generic Network Centric Information Structure (NCIS) that can be used by civilian, military and public sectors, and that supports information handling applied to crises management and emergency response...

  12. Extracting information from multiplex networks

    Science.gov (United States)

    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.

  13. International Convergence on Geoscience Cyberinfrastructure

    Science.gov (United States)

    Allison, M. L.; Atkinson, R.; Arctur, D. K.; Cox, S.; Jackson, I.; Nativi, S.; Wyborn, L. A.

    2012-04-01

    There is growing international consensus on addressing the challenges to cyber(e)-infrastructure for the geosciences. These challenges include: Creating common standards and protocols; Engaging the vast number of distributed data resources; Establishing practices for recognition of and respect for intellectual property; Developing simple data and resource discovery and access systems; Building mechanisms to encourage development of web service tools and workflows for data analysis; Brokering the diverse disciplinary service buses; Creating sustainable business models for maintenance and evolution of information resources; Integrating the data management life-cycle into the practice of science. Efforts around the world are converging towards de facto creation of an integrated global digital data network for the geosciences based on common standards and protocols for data discovery and access, and a shared vision of distributed, web-based, open source interoperable data access and integration. Commonalities include use of Open Geospatial Consortium (OGC) and ISO specifications and standardized data interchange mechanisms. For multidisciplinarity, mediation, adaptation, and profiling services have been successfully introduced to leverage the geosciences standards which are commonly used by the different geoscience communities -introducing a brokering approach which extends the basic SOA archetype. Principal challenges are less technical than cultural, social, and organizational. Before we can make data interoperable, we must make people interoperable. These challenges are being met by increased coordination of development activities (technical, organizational, social) among leaders and practitioners in national and international efforts across the geosciences to foster commonalities across disparate networks. In doing so, we will 1) leverage and share resources, and developments, 2) facilitate and enhance emerging technical and structural advances, 3) promote

  14. Network Paradigm of Information Security

    Directory of Open Access Journals (Sweden)

    Alexandr Diomidovich Afanasyev

    2016-03-01

    Full Text Available An issue of topological analysis has been claimed as a key one while creating robust and secure network systems. Some examples of complex network applications in information security domain have been cited.

  15. The FY1997 meeting for information exchange of geoscience research. Collection of literature

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-09-01

    The Tono Geoscience Center of PNC has been conducting research programs aiming at underground disposal of radioactive wastes. This document is the collection of summary papers presented to the meeting which was held at Toki, Gifu Prefecture on July 17 - 18, 1997. Total of 33 papers are given under two main themes: (1) research on long-term stability of geologic environment and (2) research on characteristics of geologic environment. The second theme is further divided into the four sub-themes: (a) investigation in the Tono Mine, (b) research of broad underground water flow, (c) in-situ test at Kamaishi and (d) development of survey techniques and equipment. Seven papers are contributed to the first theme and 21 papers to the second: five papers to (a), six to (b), seven to (c) and six to (d), including three of the poster session. (H. Yokoo)

  16. Networks and informal contract law

    NARCIS (Netherlands)

    Tjong Tjin Tai, Eric; Brownsword, Roger; van Gestel, Rob A.J.; Micklitz, Hans-W.

    2017-01-01

    It is often argued that formal contract law cannot treat networks correctly. An analysis of networks in an informal contract law system shows that informal contract law is no panacea. Remaining problems require a different approach to legal regulation and contract practice.

  17. Information transmission on hybrid networks

    Science.gov (United States)

    Chen, Rongbin; Cui, Wei; Pu, Cunlai; Li, Jie; Ji, Bo; Gakis, Konstantinos; Pardalos, Panos M.

    2018-01-01

    Many real-world communication networks often have hybrid nature with both fixed nodes and moving modes, such as the mobile phone networks mainly composed of fixed base stations and mobile phones. In this paper, we discuss the information transmission process on the hybrid networks with both fixed and mobile nodes. The fixed nodes (base stations) are connected as a spatial lattice on the plane forming the information-carrying backbone, while the mobile nodes (users), which are the sources and destinations of information packets, connect to their current nearest fixed nodes respectively to deliver and receive information packets. We observe the phase transition of traffic load in the hybrid network when the packet generation rate goes from below and then above a critical value, which measures the network capacity of packets delivery. We obtain the optimal speed of moving nodes leading to the maximum network capacity. We further improve the network capacity by rewiring the fixed nodes and by considering the current load of fixed nodes during packets transmission. Our purpose is to optimize the network capacity of hybrid networks from the perspective of network science, and provide some insights for the construction of future communication infrastructures.

  18. Building a Community for Art and Geoscience

    Science.gov (United States)

    Eriksson, S. C.; Ellins, K. K.

    2014-12-01

    Several new avenues are in place for building and supporting a community of people interested in the art and geoscience connections. Although sessions advocating for art in teaching geoscience have been scattered through geoscience professional meetings for several decades, there is now a sustained presence of artists and geoscientists with their research and projects at the annual meeting of the American Geophysical Union. In 2011, 13 abstracts were submitted and, in 2013, 20 talks and posters were presented at the annual meeting. Participants have requested more ways to connect with each other as well as advocate for this movement of art and science to others. Several words can describe new initiatives to do this: Social, Collaborative, Connected, Informed, Networked, and Included. Social activities of informal dinners, lunches, and happy hour for interested people in the past year have provided opportunity for presenters at AGU to spend time getting to know one another. This has resulted in at least two new collaborative projects. The nascent Bella Roca and more established Geology in Art websites and their associated blogs at www.bellaroca.org and http://geologyinart.blogspot.com, respectively are dedicated to highlighting the work of artists inspired by the geosciences, connecting people and informing the community of exhibits and opportunities for collaboration. Bella Roca with its social media of Facebook (Bella Roca) and Twitter (@BellRocaGeo), is a direct outgrowth of the recent 2012 and 2013 AGU sessions and, hopefully, can be grown and sustained for this community. Articles in professional journals will also help inform the broader geoscience community of the benefit of engaging with artists and designers for both improved science knowledge and communication. Organizations such as Leonardo, the International Society for the Arts, Sciences and Technology, the Art Science Gallery in Austin, Texas also promote networking among artists and scientists with

  19. Using Geoscience and Geostatistics to Optimize Groundwater Monitoring Networks at the Savannah River Site

    International Nuclear Information System (INIS)

    Tuckfield, R.C.

    2001-01-01

    A team of scientists, engineers, and statisticians was assembled to review the operation efficiency of groundwater monitoring networks at US Department of Energy Savannah River Site (SRS). Subsequent to a feasibility study, this team selected and conducted an analysis of the A/M area groundwater monitoring well network. The purpose was to optimize the number of groundwater wells requisite for monitoring the plumes of the principal constituent of concern, viz., trichloroethylene (TCE). The project gathered technical expertise from the Savannah River Technology Center (SRTC), the Environmental Restoration Division (ERD), and the Environmental Protection Department (EPD) of SRS

  20. Preliminary study on the three-dimensional geoscience information system of high-level radioactive waste geological disposal

    International Nuclear Information System (INIS)

    Li Peinan; Zhu Hehua; Li Xiaojun; Wang Ju; Zhong Xia

    2010-01-01

    The 3D geosciences information system of high-level radioactive waste geological disposal is an important research direction in the current high-level radioactive waste disposal project and a platform of information integration and publishing can be used for the relevant research direction based on the provided data and models interface. Firstly, this paper introduces the basic features about the disposal project of HLW and the function and requirement of the system, which includes the input module, the database management module, the function module, the maintenance module and the output module. Then, the framework system of the high-level waste disposal project information system has been studied, and the overall system architecture has been proposed. Finally, based on the summary and analysis of the database management, the 3D modeling, spatial analysis, digital numerical integration and visualization of underground project, the implementations of key functional modules and the platform have been expounded completely, and the conclusion has been drawn that the component-based software development method should be utilized in system development. (authors)

  1. Research Award: Information and Networks

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

    IDRC CRDI

    ... of networked technologies has created new opportunities for advancing human ... The I&N Research Awardee will ideally explore research questions centred ... Examples of questions include: ... engineering or computer/information science;.

  2. A unified plant information network

    International Nuclear Information System (INIS)

    Niederauer, G.F.

    1986-01-01

    Technology is bringing power plants fully into the age of computerization. Microcomputers, data base managers, networking, and friendly, expert software are principal technology factors. Monitoring will improve, and the number and power of computers is increasing. The huge information flow will cause computers to be integrated into a communication network. The total plant operating triangle includes process, engineering, and management systems. The total network will integrate all of these into a Total Unified Plant Information Network (TUPIN). Software will take the type of information beyond monitored data. Analysis will improve through direct access to logical, physical, and procedural models by end users. Information management will improve through widespread use of hierarchical, relational, and expert data base managers. Expert systems will aid in diagnostics and interpretation. The goal is to automate plant operations to enhance safety and performance and to reduce cost by making both the plants and the personnel more expert

  3. Archive of Geosample Data and Information from the Rosenstiel School of Marine and Atmospheric Science (RSMAS) Department of Marine Geosciences.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Rosenstiel School of Marine and Atmospheric Science (RSMAS) Department of Marine Geosciences made a one-time contribution of data describing geological samples...

  4. Information and Networks

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

    arashid

    Information and Communication Technologies for Development .... costs of digital media reproduction – combined with rampant piracy – are fundamentally .... namely those related to reputation, resources, time, and ethics - all challenges that ...

  5. Information communication on complex networks

    International Nuclear Information System (INIS)

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

    2013-01-01

    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.

  6. Information Assurance in Wireless Networks

    Science.gov (United States)

    Kabara, Joseph; Krishnamurthy, Prashant; Tipper, David

    2001-09-01

    Emerging wireless networks will contain a hybrid infrastructure based on fixed, mobile and ad hoc topologies and technologies. In such a dynamic architecture, we define information assurance as the provisions for both information security and information availability. The implications of this definition are that the wireless network architecture must (a) provide sufficient security measures, (b) be survivable under node or link attack or failure and (c) be designed such that sufficient capacity remains for all critical services (and preferably most other services) in the event of attack or component failure. We have begun a research project to investigate the provision of information assurance for wireless networks viz. survivability, security and availability and here discuss the issues and challenges therein.

  7. Information and control in networks

    CERN Document Server

    Bernhardsson, Bo; Rantzer, Anders

    2014-01-01

    Information and Control in Networks demonstrates the way in which system dynamics and information flows intertwine as they evolve, and the central role played by information in the control of complex networked systems. It is a milestone on the road to that convergence from traditionally independent development of control theory and information theory which has emerged strongly in the last fifteen years, and is now a very active research field. In addition to efforts in control and information theory, the text is witness to strong research in such diverse fields as computer science, mathematics, and statistics. Aspects that are given specialist treatment include: ·                 data-rate theorems; ·                 computation and control over communication networks; ·                 decentralized stochastic control; ·                 Gaussian networks and Gaussian–Markov random fields; and ·                 routability ...

  8. Open Geosciences Knowledge: foster Information Preparedness in a Disaster Resilience Perspective

    Science.gov (United States)

    Rapisardi, Elena; Di Franco, Sabina

    2014-05-01

    Information in science communication is the ability and the capacity to transfer scientific knowledge to enable the understanding of communication content. Particularly, as stated in many documents and programs (e.g. UNISDR, a clear and correct information on hazards and emergency matters is crucial,either for practitioners or population,to cope with disaster and to allow collaboration to take the best decision. The Open Knowledge is defined as a set of criteria and conditions related to production, use and distribution, that include principles for better access to knowledge. However,knowledge is a pillar to understand the world in itself and to guide human actions and interactions with the environment. A free and open access to knowledge in a wider perspective includes also an ethical topic that is strictly connected to the acting in terms of interactions and responsibilities, in other words with the purpose of knowledge. Focusing on "data" as a technical issue, could displace ethics and responsibility as external issues, enhancing the technical value of data. In this perspective "opening" to an open knowledge perspective could not only solve problems related to the téchne, such as functionalities and efficiency, but it should foster sharing and collaboration expressed through ethics (praxis). The web era frees the information, hence the internet "information deluge" brings to the idea of "encyclopedia" (and of Wikipedia) as a tool to "organize, control and filter" knowledge, to allow communication, knowledge transfer, education, and sense-making. Social media and crowdsourcing have considerable promise for supporting collaborative and innovative ways that reshape the information production and distribution. However, the debate is now facing an important concern related to true/false issues, focusing on validation, and liability. Without any doubt the massive use of Social Media during recent major and minor disasters highlighted a huge need of clear, correct

  9. Geoscience is Important? Show Me Why

    Science.gov (United States)

    Boland, M. A.

    2017-12-01

    "The public" is not homogenous and no single message or form of messaging will connect the entire public with the geosciences. One approach to promoting trust in, and engagement with, the geosciences is to identify specific sectors of the public and then develop interactions and communication products that are immediately relevant to that sector's interests. If the content and delivery are appropriate, this approach empowers people to connect with the geosciences on their own terms and to understand the relevance of the geosciences to their own situation. Federal policy makers are a distinct and influential subgroup of the general public. In preparation for the 2016 presidential election, the American Geosciences Institute (AGI) in collaboration with its 51 member societies prepared Geoscience for America's Critical Needs: Invitation to a National Dialogue, a document that identified major geoscience policy issues that should be addressed in a national policy platform. Following the election, AGI worked with eight other geoscience societies to develop Geoscience Policy Recommendations for the New Administration and the 115th Congress, which outlines specific policy actions to address national issues. State and local decision makers are another important subgroup of the public. AGI has developed online content, factsheets, and case studies with different levels of technical complexity so people can explore societally-relevant geoscience topics at their level of technical proficiency. A related webinar series is attracting a growing worldwide audience from many employment sectors. Partnering with government agencies and other scientific and professional societies has increased the visibility and credibility of these information products with our target audience. Surveys and other feedback show that these products are raising awareness of the geosciences and helping to build reciprocal relationships between geoscientists and decision makers. The core message of all

  10. The role of digital sample information within the digital geoscience infrastructure: a pragmatic approach

    Science.gov (United States)

    Howe, Michael

    2014-05-01

    Much of the digital geological information on the composition, properties and dynamics of the subsurface is based ultimately on physical samples, many of which are archived to provide a basis for the information. Online metadata catalogues of these collections have now been available for many years. Many of these are institutional and tightly focussed, with UK examples including the British Geological Survey's (BGS) palaeontological samples database, PalaeoSaurus (http://www.bgs.ac.uk/palaeosaurus/), and mineralogical and petrological sample database, Britrocks (http://www.bgs.ac.uk/data/britrocks.html) . There are now a growing number of international sample metadata databases, including The Palaeobiology Database (http://paleobiodb.org/) and SESAR, the IGSN (International Geo Sample Number) database (http://www.geosamples.org/catalogsearch/ ). More recently the emphasis has moved beyond metadata (locality, identification, age, citations, etc) to digital imagery, with the intention of providing the user with at least enough information to determine whether viewing the sample would be worthwhile. Recent BGS examples include high resolution (e.g. 7216 x 5412 pixel) hydrocarbon well core images (http://www.bgs.ac.uk/data/offshoreWells/wells.cfc?method=searchWells) , high resolution rock thin section images (e.g. http://www.largeimages.bgs.ac.uk/iip/britrocks.html?id=290000/291739 ) and building stone images (http://geoscenic.bgs.ac.uk/asset-bank/action/browseItems?categoryId=1547&categoryTypeId=1) . This has been developed further with high resolution stereo images. The Jisc funded GB3D type fossils online project delivers these as red-cyan anaglyphs (http://www.3d-fossils.ac.uk/). More innovatively, the GB3D type fossils project has laser scanned several thousand type fossils and the resulting 3d-digital models are now being delivered through the online portal. Importantly, this project also represents collaboration between the BGS, Oxford and Cambridge Universities

  11. Defining the Geoscience Community through a Quantitative Perspective

    Science.gov (United States)

    Wilson, C. E.; Keane, C. M.

    2015-12-01

    The American Geosciences Institute's (AGI) Geoscience Workforce Program collects and analyzes data pertaining to the changes in the supply, demand, and training of the geoscience workforce. These data cover the areas of change in the education of future geoscientists from K-12 through graduate school, the transition of geoscience graduates into early-career geoscientists, the dynamics of the current geoscience workforce, and the future predictions of the changes in the availability of geoscience jobs. The Workforce Program also considers economic changes in the United States and globally that can affect the supply and demand of the geoscience workforce. In order to have an informed discussion defining the modern geoscience community, it is essential to understand the current dynamics within the geoscience community and workforce. This presentation will provide a data-driven outlook of the current status of the geosciences in the workforce and within higher education using data collected by AGI, federal agencies and other stakeholder organizations. The data presented will highlight the various industries, including those industries with non-traditional geoscience jobs, the skills development of geoscience majors, and the application of these skills within the various industries in the workforce. This quantitative overview lays the foundation for further discussions related to tracking and understanding the current geoscience community in the United States, as well as establishes a baseline for global geoscience workforce comparisons in the future.

  12. IMNN: Information Maximizing Neural Networks

    Science.gov (United States)

    Charnock, Tom; Lavaux, Guilhem; Wandelt, Benjamin D.

    2018-04-01

    This software trains artificial neural networks to find non-linear functionals of data that maximize Fisher information: information maximizing neural networks (IMNNs). As compressing large data sets vastly simplifies both frequentist and Bayesian inference, important information may be inadvertently missed. Likelihood-free inference based on automatically derived IMNN summaries produces summaries that are good approximations to sufficient statistics. IMNNs are robustly capable of automatically finding optimal, non-linear summaries of the data even in cases where linear compression fails: inferring the variance of Gaussian signal in the presence of noise, inferring cosmological parameters from mock simulations of the Lyman-α forest in quasar spectra, and inferring frequency-domain parameters from LISA-like detections of gravitational waveforms. In this final case, the IMNN summary outperforms linear data compression by avoiding the introduction of spurious likelihood maxima.

  13. Spinal Cord Injury Model System Information Network

    Science.gov (United States)

    ... the UAB-SCIMS More The UAB-SCIMS Information Network The University of Alabama at Birmingham Spinal Cord Injury Model System (UAB-SCIMS) maintains this Information Network as a resource to promote knowledge in the ...

  14. Vulnerability Assessment Tools for Complex Information Networks

    National Research Council Canada - National Science Library

    Cassandras, Christos G; Gong, Weibo; Pepyne, David L; Lee, Wenke; Liu, Hong; Ho, Yu-Chi; Pfeffer, Avrom

    2006-01-01

    The specific aims of this research is to develop theories, methodologies, tools, and implementable solutions for modeling, analyzing, designing, and securing information networks against information-based attack...

  15. Transforming Spatial Reasoning Skills in the Upper-Level Undergraduate Geoscience Classroom Through Curricular Materials Informed by Cognitive Science Research

    Science.gov (United States)

    Ormand, C. J.; Shipley, T. F.; Dutrow, B. L.; Goodwin, L. B.; Hickson, T. A.; Tikoff, B.; Atit, K.; Gagnier, K. M.; Resnick, I.

    2014-12-01

    Spatial visualization is an essential skill in the STEM disciplines, including the geosciences. Undergraduate students, including geoscience majors in upper-level courses, bring a wide range of spatial skill levels to the classroom. Students with weak spatial skills may be unable to understand fundamental concepts and to solve geological problems with a spatial component. However, spatial thinking skills are malleable. As a group of geoscience faculty members and cognitive psychologists, we have developed a set of curricular materials for Mineralogy, Sedimentology & Stratigraphy, and Structural Geology courses. These materials are designed to improve students' spatial skills, and in particular to improve students' abilities to reason about spatially complex 3D geological concepts and problems. Teaching spatial thinking in the context of discipline-based exercises has the potential to transform undergraduate STEM education by removing one significant barrier to success in the STEM disciplines. The curricular materials we have developed are based on several promising teaching strategies that have emerged from cognitive science research on spatial thinking. These strategies include predictive sketching, making visual comparisons, gesturing, and the use of analogy. We have conducted a three-year study of the efficacy of these materials in strengthening the spatial skills of students in upper-level geoscience courses at three universities. Our methodology relies on a pre- and post-test study design, with several tests of spatial thinking skills administered at the beginning and end of each semester. In 2011-2012, we used a "business as usual" approach to gather baseline data, measuring how much students' spatial thinking skills improved in response to the existing curricula. In the two subsequent years we have incorporated our new curricular materials, which can be found on the project website: http://serc.carleton.edu/spatialworkbook/activities.html Structural Geology

  16. Survey of network and information security technology

    International Nuclear Information System (INIS)

    Liu Baoxu; Wang Xiaozhen

    2007-01-01

    With the rapidly development of the computer network technology and informationize working of our Country, Network and Information Security issues becomes the focal point problem that people shows solicitude for. On the basis analysing security threat and challenge of network information and their developing trend. This paper briefly analyses and discusses the main relatively study direction and content about the theory, technology and practice of Network and Information Security. (authors)

  17. Geoscience at Community Colleges: Availability of Programs and Geoscience Student Pathways

    Science.gov (United States)

    Gonzales, L. M.; Keane, C. M.; Houlton, H. R.

    2011-12-01

    Community colleges served over 7.5 million students in 2009, and have a more diverse student population than four-year institutions. In 2008, 58% of community college students were women and 33% of students were underrepresented minorities. Community colleges provide a large diverse pool of untapped talent for the geosciences and for all science and engineering disciplines. The most recent data from NSF's 2006 NSCRG database indicate that within the physical sciences, 43% of Bachelor's, 31% of Master's and 28% of Doctoral recipients had attended community college. Until recently, fine-grained datasets for examining the prevalence of community college education in geoscience students' academic pathways has not been available. Additionally, there has been limited information regarding the availability of geoscience programs and courses at community colleges. In 2011, the American Geological Institute (AGI) expanded its Directory of Geoscience Departments (DGD) to cover 434 community colleges that offer either geoscience programs and/or geoscience curriculum, and launched the first pilot of a standardized National Geoscience Exit Survey. The survey collects information not only about students' pathways in the university system and future academic and career plans, but also about community college attendance including geoscience course enrollments and Associate's degrees. The National Geoscience Exit Survey will be available to all U.S. geoscience programs at two- and four-year colleges and universities by the end of the 2011-2012 academic year, and will also establish a longitudinal survey effort to track students through their careers. Whereas the updated DGD now provides wider coverage of geoscience faculty members and programs at community colleges, the Exit Survey provides a rich dataset for mapping the flow of students from community colleges to university geoscience programs. We will discuss the availability of geoscience courses and programs at community

  18. A new information dimension of complex networks

    International Nuclear Information System (INIS)

    Wei, Daijun; Wei, Bo; Hu, Yong; Zhang, Haixin; Deng, Yong

    2014-01-01

    Highlights: •The proposed measure is more practical than the classical information dimension. •The difference of information for box in the box-covering algorithm is considered. •Results indicate the measure can capture the fractal property of complex networks. -- Abstract: The fractal and self-similarity properties are revealed in many complex networks. The classical information dimension is an important method to study fractal and self-similarity properties of planar networks. However, it is not practical for real complex networks. In this Letter, a new information dimension of complex networks is proposed. The nodes number in each box is considered by using the box-covering algorithm of complex networks. The proposed method is applied to calculate the fractal dimensions of some real networks. Our results show that the proposed method is efficient when dealing with the fractal dimension problem of complex networks.

  19. A new information dimension of complex networks

    Energy Technology Data Exchange (ETDEWEB)

    Wei, Daijun [School of Computer and Information Science, Southwest University, Chongqing 400715 (China); School of Science, Hubei University for Nationalities, Enshi 445000 (China); Wei, Bo [School of Computer and Information Science, Southwest University, Chongqing 400715 (China); Hu, Yong [Institute of Business Intelligence and Knowledge Discovery, Guangdong University of Foreign Studies, Guangzhou 510006 (China); Zhang, Haixin [School of Computer and Information Science, Southwest University, Chongqing 400715 (China); Deng, Yong, E-mail: ydeng@swu.edu.cn [School of Computer and Information Science, Southwest University, Chongqing 400715 (China); School of Engineering, Vanderbilt University, TN 37235 (United States)

    2014-03-01

    Highlights: •The proposed measure is more practical than the classical information dimension. •The difference of information for box in the box-covering algorithm is considered. •Results indicate the measure can capture the fractal property of complex networks. -- Abstract: The fractal and self-similarity properties are revealed in many complex networks. The classical information dimension is an important method to study fractal and self-similarity properties of planar networks. However, it is not practical for real complex networks. In this Letter, a new information dimension of complex networks is proposed. The nodes number in each box is considered by using the box-covering algorithm of complex networks. The proposed method is applied to calculate the fractal dimensions of some real networks. Our results show that the proposed method is efficient when dealing with the fractal dimension problem of complex networks.

  20. Examining the Professional Development Experiences and Non-Technical Skills Desired for Geoscience Employment

    Science.gov (United States)

    Houlton, H. R.; Ricci, J.; Wilson, C. E.; Keane, C.

    2014-12-01

    Professional development experiences, such as internships, research presentations and professional network building, are becoming increasingly important to enhance students' employability post-graduation. The practical, non-technical skills that are important for succeeding during these professional development experiences, such as public speaking, project management, ethical practices and writing, transition well and are imperative to the workplace. Thereby, graduates who have honed these skills are more competitive candidates for geoscience employment. Fortunately, the geoscience community recognizes the importance of these professional development opportunities and the skills required to successfully complete them, and are giving students the chance to practice non-technical skills while they are still enrolled in academic programs. The American Geosciences Institute has collected data regarding students' professional development experiences, including the preparation they receive in the corresponding non-technical skills. This talk will discuss the findings of two of AGI's survey efforts - the Geoscience Student Exit Survey and the Geoscience Careers Master's Preparation Survey (NSF: 1202707). Specifically, data highlighting the role played by internships, career opportunities and the complimentary non-technical skills will be discussed. As a practical guide, events informed by this research, such as AGI's professional development opportunities, networking luncheons and internships, will also be included.

  1. Protecting information on local area networks

    CERN Document Server

    Schweitzer, James A

    1988-01-01

    Protecting Information on Local Area Networks presents the various types of networks and explains why they are being expanded at such a rapid pace. This book considers how management can gain control of the valuable network-services information resources generally available.Organized into three parts encompassing seven chapters, this book begins with an overview of the various networks and their operations. This text then discusses the appropriate management actions to ensure some control over the use of networks and the business information resource. Other chapters consider the management rat

  2. Geosciences Information for Teachers (GIFT) Workshops held in Conjunction with Alexander von Humboldt (AvH) EGU Conferences

    Science.gov (United States)

    Laj, Carlo; Cifelli, Francesca

    2015-04-01

    The Alexander von Humboldt Conference Series of the European Geosciences Union are a series of meetings held outside of Europe, in particular in South America, Africa or Asia, on selected topics of geosciences with a socio-economic impact for regions on these continents, jointly organised with the scientists and their institutes and the institutions of these regions. Given the increasing success of the GIFT workshops held in conjunction with the General Assemblies, since 2010 EGU has also developed a series of GIFT workshops held in conjunction with AvH conferences. Associated GIFT workshops were held in Merida, Yucatan, on the theme of Climate Change, Natural Hazards and Societies (March 2010), then in Penang, Malaysia (June 2011) on the theme of Ocean Acidification, in November 2012 in Cusco (Peru) on the theme of Natural Disasters, Global Change and the Preservation of World Heritage Sites, finally in Istanbul (March 2014) on "High Impact Natural Hazards Related to the Euro-Mediterranean Region. The next GIFT workshop is already planned for October 2015 in Adis Ababa (Ethiopia) on the theme "Water". In each case, the GIFT workshop was held on the last two days of the AvH conference and reunited 40-45 teachers from the nation where the AvH was held. Keynote speakers from AvH were speakers to the GIFT workshops which also included hands-on activities animated by sciences educators. These GIFT workshops represented the first workshops specifically aimed at teachers held in the country, and therefore represents a significant Earth Sciences contribution to secondary education in non European countries.

  3. Multimedia Information Networks in Social Media

    Science.gov (United States)

    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.

  4. Inter-American Biodiversity Information Network (IABIN)

    Science.gov (United States)

    site. IABIN Inter-American Biodiversity Information Network (IABIN) OAS » SEDI » DSD » IABIN IABIN GEF Logo inbio natserve usgs polpar wcm The Inter-American Biodiversity Information Network (IABIN , and use of biodiversity information relevant to policy and decision-making on natural resources

  5. Exploring network operations for data and information networks

    Science.gov (United States)

    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.

  6. Predicting Information Flows in Network Traffic.

    Science.gov (United States)

    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)

  7. Social Network Analysis and informal trade

    DEFF Research Database (Denmark)

    Walther, Olivier

    networks can be applied to better understand informal trade in developing countries, with a particular focus on Africa. The paper starts by discussing some of the fundamental concepts developed by social network analysis. Through a number of case studies, we show how social network analysis can...... illuminate the relevant causes of social patterns, the impact of social ties on economic performance, the diffusion of resources and information, and the exercise of power. The paper then examines some of the methodological challenges of social network analysis and how it can be combined with other...... approaches. The paper finally highlights some of the applications of social network analysis and their implications for trade policies....

  8. Geoscience on television: a review of science communication literature in the context of geosciences

    Science.gov (United States)

    Hut, Rolf; Land-Zandstra, Anne M.; Smeets, Ionica; Stoof, Cathelijne R.

    2016-06-01

    Geoscience communication is becoming increasingly important as climate change increases the occurrence of natural hazards around the world. Few geoscientists are trained in effective science communication, and awareness of the formal science communication literature is also low. This can be challenging when interacting with journalists on a powerful medium like TV. To provide geoscience communicators with background knowledge on effective science communication on television, we reviewed relevant theory in the context of geosciences and discuss six major themes: scientist motivation, target audience, narratives and storytelling, jargon and information transfer, relationship between scientists and journalists, and stereotypes of scientists on TV. We illustrate each theme with a case study of geosciences on TV and discuss relevant science communication literature. We then highlight how this literature applies to the geosciences and identify knowledge gaps related to science communication in the geosciences. As TV offers a unique opportunity to reach many viewers, we hope this review can not only positively contribute to effective geoscience communication but also to the wider geoscience debate in society.

  9. Geoscience Academic Provenance: A Theoretical Framework for Understanding Geoscience Students' Pathways

    Science.gov (United States)

    Houlton, H.; Keane, C.

    2012-04-01

    The demand and employment opportunities for geoscientists in the United States are projected to increase 23% from 2008 to 2018 (Gonzales, 2011). Despite this trend, there is a disconnect between undergraduate geoscience students and their desire to pursue geoscience careers. A theoretical framework was developed to understand the reasons why students decide to major in the geosciences and map those decisions to their career aspirations (Houlton, 2010). A modified critical incident study was conducted to develop the pathway model from 17, one-hour long semi-structured interviews of undergraduate geoscience majors from two Midwest Research Institutions (Houlton, 2010). Geoscience Academic Provenance maps geoscience students' initial interests, entry points into the major, critical incidents and future career goals as a pathway, which elucidates the relationships between each of these components. Analyses identified three geoscience student population groups that followed distinct pathways: Natives, Immigrants and Refugees. A follow up study was conducted in 2011 to ascertain whether these students continued on their predicted pathways, and if not, reasons for attrition. Geoscientists can use this framework as a guide to inform future recruitment and retention initiatives and target these geoscience population groups for specific employment sectors.

  10. Dissemination of information in a networked environment

    International Nuclear Information System (INIS)

    Jayakumar, C.; Narayanan, A.

    1999-01-01

    The advent of Internet technology and its adoption by the organisations has resulted in the evolution of Intranets. Intranets ultimately use the technology to meet the information and computational needs to achieve organisational objectives and goals. Important services like E mail and Web are a handy solution to disseminate information for research and special libraries. The campus wide network and the creation of networked society are ubiquitous and an attempt has been made to extend the information service to the patrons by possible means. The role of library and information professionals in dissemination of information for the networked society is relevant and highly demanding. The right information for the right people at right time is to be achieved with available infrastructure. Few sample applications are described in this paper and the information need has to be met for the present and future networked information users. (author)

  11. Status of DOE information network modifications

    International Nuclear Information System (INIS)

    Fuchs, R.

    1988-01-01

    This paper provides an update on changes that have been made or are taking place to the Department of Energy's (DOE) National Information Network. Areas of focus are as follows: data acquisition from commercial disposal site operators, specifically, the information delivery system called Manifest Information Management System; improved access methods to DOE Information Network; progress on personal computer interfaces, and availability of end user support

  12. Students' Informal Peer Feedback Networks

    Science.gov (United States)

    Headington, Rita

    2018-01-01

    The nature and significance of students' informal peer feedback networks is an under-explored area. This paper offers the findings of a longitudinal investigation of the informal peer feedback networks of a cohort of student teachers [n = 105] across the three years of a UK primary education degree programme. It tracked the dynamic nature of these…

  13. Social Networks and Corporate Information Security

    Directory of Open Access Journals (Sweden)

    Ekaterina Gennadievna Kondratova

    2013-06-01

    Full Text Available It is defined in the article social networks as a tool in the hands of cyber-criminals to compromise the organization’s data. The author focuses on a list of threats to information security caused by social networks usage, which should be considered in the set up of information security management system of the company.

  14. Information Network on Rural Development (INRD), Bangladesh.

    Science.gov (United States)

    Wanasundra, Leelangi

    1994-01-01

    Discusses information networking in Bangladesh and describes the formation of the Information Network on Rural Development (INRD) which was initiated by the Center on Integrated Rural Development for Asia and the Pacific (CIRDAP). Organization, membership, activities, participation, and finance are examined. (four references) (LRW)

  15. Lessons Learned for Recruiting and Retaining Native Hawaiians in the Geosciences

    Science.gov (United States)

    Gibson, B. A.; Brock, L.; Levine, R.; Spencer, L.; Wai, B.; Puniwai, N.

    2008-12-01

    Many Native Hawaiian and Pacific Island (NHPI) college students are unaware of the majors or career possibilities within geoscience disciplines. This notably can be seen by the low number of NHPI students who graduate with a bachelor's degree in an ocean or Earth science-related field within the University of Hawaii (UH) System. To help address this disparity, the Ka'Imi'Ike Program, which is funded through the Opportunities for Enhancing Diversity in the Geosciences (OEDG) Program at NSF, was started at the University of Hawaii at Manoa to attract and support NHPI students in the geosciences. A key component of the program is the recruiting of NHPI students to disciplines in the geosciences through linking geoscience concepts with their culture and community. This includes a 3-week Explorations in the Geosciences summer institute that introduces incoming freshmen and current UH sophomores to the earth, weather, and ocean sciences via hands-on field and lab experiences. Ka'Imi'Ike also provides limited support for current geoscience majors through scholarships and internship opportunities. Results from student journals and pre- and post- questionnaires given to students during the summer institute have shown the program to be successful in increasing student interest and knowledge of the geoscience disciplines. Demonstrating the links between scientific thought and NHPI culture has been crucial to peaking the students' interest in the geosciences. The results also show that there is a need to include more specifics related to local career options, especially information that can be shared with the students' family and community as our data show that parents play a formidable role in the career path a student chooses. Moreover, in order to provide a more contiguous pipeline of support for NHPI students, Ka'Imi'Ike is beginning to network its students from the summer institute to other programs, such as the C-MORE Scholars Program, which offer undergraduate research

  16. Using Web 2.0 technologies to recruit the next generation of talent to the geoscience workforce

    Science.gov (United States)

    Martinez, C. M.; Keane, C. M.

    2009-12-01

    The GeoConnection Network is an integrated set of social networking, media sharing and communication Web 2.0 applications designed to engage students in thinking about careers in the geosciences. Developed by the American Geological Institute (AGI), GeoConnection links practicing and prospective geoscientists in an informal setting to share information about the geoscience profession, including student and career opportunities, current events, and future trends in the geosciences. The network includes a Facebook fan page, YouTube Channel, Twitter account and GeoSpectrum blog, with the goal of helping science organizations and departments recruit future talent to the geoscience workforce. On the social-networking platform, Facebook, the GeoConnection page is a forum for students and early career geoscientists to tune in what's going on in the geoscience community, to meet geoscience professionals, and to find innovative career ideas. Early analysis of the page’s participants indicates that the network is reaching its intended audience, with more than two thirds of “fans” participating in the page falling in the 18-34 age range. Twenty-seven percent of these are college-aged, or 18-24 years old. An additional 20% of the page’s fans are over age 45, providing students with access to seasoned geoscientists working in a variety of professions. GeoConnection’s YouTube Channel includes video resources for students on educational pathways and career choices. Videos on the channel have received more than 60,000 views collectively. AGI is currently evaluating its use of the GeoConnection Network and Web 2.0-based student engagement strategies through direct surveys to students and university departments, in order to improve its offerings and to maximize its use of resources. The challenge for the GeoConnection Network in its quest to attract the best and brightest new talent to the geosciences is staying current within the ever-changing landscape of online

  17. Information Flows in Networked Engineering Design Projects

    DEFF Research Database (Denmark)

    Parraguez, Pedro; Maier, Anja

    Complex engineering design projects need to manage simultaneously multiple information flows across design activities associated with different areas of the design process. Previous research on this area has mostly focused on either analysing the “required information flows” through activity...... networks at the project level or in studying the social networks that deliver the “actual information flow”. In this paper we propose and empirically test a model and method that integrates both social and activity networks into one compact representation, allowing to compare actual and required...... information flows between design spaces, and to assess the influence that these misalignments could have on the performance of engineering design projects....

  18. Noise enhances information transfer in hierarchical networks.

    Science.gov (United States)

    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.

  19. Network information provision to potential generators: Appendices

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-07-01

    This Code of Practice (CoP) has been prepared to outline the standard of information that Distribution Network Operators (DNOs) should be required to produce in relation to the provision of network maps, schematic diagrams and specific network data. Network information from DNOs may be required by generators (and other customers) in order to assess the potential opportunities available for the connection of new generation plant. Seven Year Statements are published annually by the Transmission Licensees operating in Great Britain, i.e. The National Grid Company, Scottish Power and Scottish Hydro Electric, and contain all the network information relating to each transmission system, e.g. Generation Capacities, System Parameters and Plant Fault Levels. A similar arrangement for DNOs has been outlined in the Electricity Distribution Licence published by Ofgem. Under Condition 25 of the licence, 'The Long Term Development Statement', distribution licence holders are required to make available historic and planned network data. By providing sufficient network information, competition in generation will be improved. At the time of writing, any party interested in assessing distribution network information needs to make contact with the appropriate DNO, identifying the correct department and person. Written applications are then sent to that person, describing the type of network information that is required. Information required from embedded generators by DNOs is specified in detail in both of The Distribution Codes of England and Wales, and Scotland. However, there are no guidelines or details of network information to be provided by DNOs. This Code of Practise is designed to balance this situation and help DNOs, prospective generators and other applicants for information to achieve satisfaction by clarifying expectations. (Author)

  20. Geosciences projects FY 1985 listing

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

    This report, which updates the previous working group publication issued in February 1982, contains independent sections: (A) Summary Outline of DOE Geoscience and Related Studies, and (B) Crosscut of DOE Geoscience and Geoscience Related Studies. The FY 1985 funding levels for geoscience and related activities in each of the 11 programs within DOE are presented. The 11 programs fall under six DOE organizations: Energy Research Conservation and Renewable Energy; Fossil Energy; Defense Programs; Environmental, Safety, and Health; and Civilian radioactive Waste. From time to time, there is particular need for special interprogrammatic coordination within certain topical areas. section B of the report is intended to fill this need for a topical categorization of the Department's geoscience and related activities. These topical areas in Solid Earth Geosciences, Atmospheric Geosciences, Ocean Geosciences, Space and Solar/Terrestrial Geosciences, and Hydrological Geosciences are presented in this report.

  1. Searching Information Sources in Networks

    Science.gov (United States)

    2017-06-14

    with partial observations,” in AAAI Conference on Artificial Intelligence , 2017. [6] D. J. Watts and S. H. Strogatz, “Collective dynamics of ‘small...critical infrastructure of our society. The failure of the power grid network will have catastrophic impacts on water supplies, transportation

  2. Optimal Information Processing in Biochemical Networks

    Science.gov (United States)

    Wiggins, Chris

    2012-02-01

    A variety of experimental results over the past decades provide examples of near-optimal information processing in biological networks, including in biochemical and transcriptional regulatory networks. Computing information-theoretic quantities requires first choosing or computing the joint probability distribution describing multiple nodes in such a network --- for example, representing the probability distribution of finding an integer copy number of each of two interacting reactants or gene products while respecting the `intrinsic' small copy number noise constraining information transmission at the scale of the cell. I'll given an overview of some recent analytic and numerical work facilitating calculation of such joint distributions and the associated information, which in turn makes possible numerical optimization of information flow in models of noisy regulatory and biochemical networks. Illustrating cases include quantification of form-function relations, ideal design of regulatory cascades, and response to oscillatory driving.

  3. Towards an Information Theory of Complex Networks

    CERN Document Server

    Dehmer, Matthias; Mehler, Alexander

    2011-01-01

    For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoreti

  4. Information flow analysis of interactome networks.

    Directory of Open Access Journals (Sweden)

    Patrycja Vasilyev Missiuro

    2009-04-01

    Full Text Available 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

  5. Illuminate Knowledge Elements in Geoscience Literature

    Science.gov (United States)

    Ma, X.; Zheng, J. G.; Wang, H.; Fox, P. A.

    2015-12-01

    There are numerous dark data hidden in geoscience literature. Efficient retrieval and reuse of those data will greatly benefit geoscience researches of nowadays. Among the works of data rescue, a topic of interest is illuminating the knowledge framework, i.e. entities and relationships, embedded in documents. Entity recognition and linking have received extensive attention in news and social media analysis, as well as in bioinformatics. In the domain of geoscience, however, such works are limited. We will present our work on how to use knowledge bases on the Web, such as ontologies and vocabularies, to facilitate entity recognition and linking in geoscience literature. The work deploys an un-supervised collective inference approach [1] to link entity mentions in unstructured texts to a knowledge base, which leverages the meaningful information and structures in ontologies and vocabularies for similarity computation and entity ranking. Our work is still in the initial stage towards the detection of knowledge frameworks in literature, and we have been collecting geoscience ontologies and vocabularies in order to build a comprehensive geoscience knowledge base [2]. We hope the work will initiate new ideas and collaborations on dark data rescue, as well as on the synthesis of data and knowledge from geoscience literature. References: 1. Zheng, J., Howsmon, D., Zhang, B., Hahn, J., McGuinness, D.L., Hendler, J., and Ji, H. 2014. Entity linking for biomedical literature. In Proceedings of ACM 8th International Workshop on Data and Text Mining in Bioinformatics, Shanghai, China. 2. Ma, X. Zheng, J., 2015. Linking geoscience entity mentions to the Web of Data. ESIP 2015 Summer Meeting, Pacific Grove, CA.

  6. Geoscience Workforce Development at UNAVCO: Leveraging the NSF GAGE Facility

    Science.gov (United States)

    Morris, A. R.; Charlevoix, D. J.; Miller, M.

    2013-12-01

    Global economic development demands that the United States remain competitive in the STEM fields, and developing a forward-looking and well-trained geoscience workforce is imperative. According to the Bureau of Labor Statistics, the geosciences will experience a growth of 19% by 2016. Fifty percent of the current geoscience workforce is within 10-15 years of retirement, and as a result, the U.S. is facing a gap between the supply of prepared geoscientists and the demand for well-trained labor. Barring aggressive intervention, the imbalance in the geoscience workforce will continue to grow, leaving the increased demand unmet. UNAVCO, Inc. is well situated to prepare undergraduate students for placement in geoscience technical positions and advanced graduate study. UNAVCO is a university-governed consortium facilitating research and education in the geosciences and in addition UNAVCO manages the NSF Geodesy Advancing Geosciences and EarthScope (GAGE) facility. The GAGE facility supports many facets of geoscience research including instrumentation and infrastructure, data analysis, cyberinfrastructure, and broader impacts. UNAVCO supports the Research Experiences in the Solid Earth Sciences for Students (RESESS), an NSF-funded multiyear geoscience research internship, community support, and professional development program. The primary goal of the RESESS program is to increase the number of historically underrepresented students entering graduate school in the geosciences. RESESS has met with high success in the first 9 years of the program, as more than 75% of RESESS alumni are currently in Master's and PhD programs across the U.S. Building upon the successes of RESESS, UNAVCO is launching a comprehensive workforce development program that will network underrepresented groups in the geosciences to research and opportunities throughout the geosciences. This presentation will focus on the successes of the RESESS program and plans to expand on this success with broader

  7. Informal networks: the company behind the chart.

    Science.gov (United States)

    Krackhardt, D; Hanson, J R

    1993-01-01

    A glance at an organizational chart can show who's the boss and who reports to whom. But this formal chart won't reveal which people confer on technical matters or discuss office politics over lunch. Much of the real work in any company gets done through this informal organization with its complex networks of relationships that cross functions and divisions. According to consultants David Krackhardt and Jeffrey Hanson, managers can harness the true power in their companies by diagramming three types of networks: the advice network, which reveals the people to whom others turn to get work done; the trust network, which uncovers who shares delicate information; and the communication network, which shows who talks about work-related matters. Using employee questionnaires, managers can generate network maps that will get to the root of many organizational problems. When a task force in a computer company, for example, was not achieving its goals, the CEO turned to network maps to find out why. He discovered that the task force leader was central in the advice network but marginal in the trust network. Task force members did not believe he would look out for their interests, so the CEO used the trust map to find someone to share responsibility for the group. And when a bank manager saw in the network map that there was little communication between tellers and supervisors, he looked for ways to foster interaction among employees of all levels. As companies continue to flatten and rely on teams, managers must rely less on their authority and more on understanding these informal networks. Managers who can use maps to identify, leverage, and revamp informal networks will have the key to success.

  8. Information theory perspective on network robustness

    International Nuclear Information System (INIS)

    Schieber, Tiago A.; Carpi, Laura; Frery, Alejandro C.; Rosso, Osvaldo A.; Pardalos, Panos M.; Ravetti, Martín G.

    2016-01-01

    A crucial challenge in network theory is the study of the robustness of a network when facing a sequence of failures. In this work, we propose a dynamical definition of network robustness based on Information Theory, that considers measurements of the structural changes caused by failures of the network's components. Failures are defined here as a temporal process defined in a sequence. Robustness is then evaluated by measuring dissimilarities between topologies after each time step of the sequence, providing a dynamical information about the topological damage. We thoroughly analyze the efficiency of the method in capturing small perturbations by considering different probability distributions on networks. In particular, we find that distributions based on distances are more consistent in capturing network structural deviations, as better reflect the consequences of the failures. Theoretical examples and real networks are used to study the performance of this methodology. - Highlights: • A novel methodology to measure the robustness of a network to component failure or targeted attacks is proposed. • The use of the network's distance PDF allows a precise analysis. • The method provides a dynamic robustness profile showing the response of the topology to each failure event. • The measure is capable to detect network's critical elements.

  9. Evolution of the Research Libraries Information Network.

    Science.gov (United States)

    Richards, David; Lerche, Carol

    1989-01-01

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

  10. Brain network clustering with information flow motifs

    NARCIS (Netherlands)

    Märtens, M.; Meier, J.M.; Hillebrand, Arjan; Tewarie, Prejaas; Van Mieghem, P.F.A.

    2017-01-01

    Recent work has revealed frequency-dependent global patterns of information flow by a network analysis of magnetoencephalography data of the human brain. However, it is unknown which properties on a small subgraph-scale of those functional brain networks are dominant at different frequencies bands.

  11. Nuclear technology databases and information network systems

    International Nuclear Information System (INIS)

    Iwata, Shuichi; Kikuchi, Yasuyuki; Minakuchi, Satoshi

    1993-01-01

    This paper describes the databases related to nuclear (science) technology, and information network. Following contents are collected in this paper: the database developed by JAERI, ENERGY NET, ATOM NET, NUCLEN nuclear information database, INIS, NUclear Code Information Service (NUCLIS), Social Application of Nuclear Technology Accumulation project (SANTA), Nuclear Information Database/Communication System (NICS), reactor materials database, radiation effects database, NucNet European nuclear information database, reactor dismantling database. (J.P.N.)

  12. Information and influence propagation in social networks

    CERN Document Server

    Chen, Wei; Lakshmanan, Laks V S

    2013-01-01

    Research on social networks has exploded over the last decade. To a large extent, this has been fueled by the spectacular growth of social media and online social networking sites, which continue growing at a very fast pace, as well as by the increasing availability of very large social network datasets for purposes of research. A rich body of this research has been devoted to the analysis of the propagation of information, influence, innovations, infections, practices and customs through networks. Can we build models to explain the way these propagations occur? How can we validate our models

  13. Collaboration and Perspectives on Identity Management and Access from two Geoscience Cyberinfrastructure Programs

    Science.gov (United States)

    Ramamurthy, M. K.

    2016-12-01

    Increasingly, the conduct of science requires close international collaborations to share data, information, knowledge, expertise, and other resources. This is particularly true in the geosciences where the highly connected nature of the Earth system and the need to understand global environmental processes have heightened the importance of scientific partnerships. As geoscience studies become a team effort involving networked scientists and data providers, it is crucial that there is open and reliable access to earth system data of all types, software, tools, models, and other assets. That environment demands close attention to security-related matters, including the creation of trustworthy cyberinfrastructure to facilitate the efficient use of available resources and support the conduct of science. Unidata and EarthCube, both of which are NSF-funded and community-driven programs, recognize the importance of collaborations and the value of networked communities. Unidata, a cornerstone cyberinfrastructure facility for the geosciences, includes users in nearly 180 countries. The EarthCube initiative is aimed at transforming the conduct of geosciences research by creating a well-connected and facile environment for sharing data and in an open, transparent, and inclusive manner and to accelerate our ability to understand and predict the Earth system. We will present the Unidata and EarthCube community perspectives on the approaches to balancing an environment that promotes open and collaborative eScience with the needs for security and communication, including what works, what is needed, the challenges, and opportunities to advance science.

  14. 78 FR 17418 - Rural Health Information Technology Network Development Grant

    Science.gov (United States)

    2013-03-21

    ... Information Technology Network Development Grant AGENCY: Health Resources and Services Administration (HRSA...-competitive replacement award under the Rural Health Information Technology Network Development Grant (RHITND... relinquishing its fiduciary responsibilities for the Rural Health Information Technology Network Development...

  15. Networking and Information Technology Workforce Study: Final Report

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — This report presents the results of a study of the global Networking and Information Technology NIT workforce undertaken for the Networking and Information...

  16. Fisheries Information Network in Indonesia.

    Science.gov (United States)

    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…

  17. Information transfer in community structured multiplex networks

    Directory of Open Access Journals (Sweden)

    Albert eSolé Ribalta

    2015-08-01

    Full Text Available 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.

  18. Information transfer in community structured multiplex networks

    Science.gov (United States)

    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.

  19. Building a Portuguese Food Microbiological Information Network

    OpenAIRE

    Viegas, Silvia; Machado, Claudia; Dantas, Maria; Oliveira, Luísa

    2011-01-01

    Introduction: The integration of food data from research, microbiological monitoring, epidemiological investigation and disease surveillance is crucial to manage foodborne risk. Consequently, INSA launched the Portuguese Food Information Resource Programme (PortFIR) in a partnership with GS1 Portugal to create national food chain expert networks and sustainable databases on food composition, consumption and chemical and microbiological contamination. Presently, the Food Microbiological Inform...

  20. Searching LOGIN, the Local Government Information Network.

    Science.gov (United States)

    Jack, Robert F.

    1984-01-01

    Describes a computer-based information retrieval and electronic messaging system produced by Control Data Corporation now being used by government agencies and other organizations. Background of Local Government Information Network (LOGIN), database structure, types of LOGIN units, searching LOGIN (intersect, display, and list commands), and how…

  1. Protecting Personal Information on Social Networking Sites

    Science.gov (United States)

    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.

  2. Somatic surveillance: corporeal control through information networks

    OpenAIRE

    Monahan, Torin; Wall, Tyler

    2007-01-01

    Somatic surveillance is the increasingly invasive technological monitoring of and intervention into body functions. Within this type of surveillance regime, bodies are recast as nodes on vast information networks, enabling corporeal control through remote network commands, automated responses, or self-management practices. In this paper, we investigate three developments in somatic surveillance: nanotechnology systems for soldiers on the battlefield, commercial body-monitoring systems for hea...

  3. Social Networks: Rational Learning and Information Aggregation

    Science.gov (United States)

    2009-09-01

    predecessor, Gale and Kariv (2003) who generalize the payoff equalization result of Bala and Goyal (1998) in connected social networks (discussed below...requires more notation. Using Bayes’ Rule and the assumption of equal priors on the state θ, we have that the social belief given by observing... Social Networks: Rational Learning and Information Aggregation by Ilan Lobel B.Sc., Pontif́ıcia Universidade Católica do Rio de Janeiro (2004

  4. Network information provision to potential generators

    Energy Technology Data Exchange (ETDEWEB)

    Nicholson, G.

    2001-07-01

    At the time of finalising this report, an Ofgem consultation is underway on the form of Distribution Licence Condition 25, which will state the requirements for Distribution Network Operators to provide and publish data. This report is also relevant to the DTI Ofgem Embedded Generation Working Group (EGWG), which has recently completed its report and recommendations. It is hoped that this document will provide an overview of the status, importance, role and benefits of network information, which can be utilised by Generators, Network Operators and other industry players in framing their responses to this and future consultations. (Authors)

  5. Design and Management of Networked Information Systems

    DEFF Research Database (Denmark)

    Havn, Erling; Bansler, Jørgen P.

    1996-01-01

    In this paper, we present a newly started research project at the Center for Tele-Information at the Technical University of Denmark. The project focuses on the design and management of networked information systems, that is computer-based IS linked by a wide area network and supporting...... research questions:1. What is the essence of the new managerial theories and models and how do they define the role of telecommunications and IT in organizations?2. How are these organizational theories and models implemented in practice?3. How is the design and implementation of information systems...... and networks actually organized and carried out?4. What are the consequences for work content, skills, working conditions, etc.? The research project consists of a theoretical analysis of contemporary management theories as well as a number of in-depth case studies of firms engaged in the design...

  6. Translational Geoscience: Converting Geoscience Innovation into Societal Impacts

    Science.gov (United States)

    Schiffries, C. M.

    2015-12-01

    Translational geoscience — which involves the conversion of geoscience discovery into societal, economic, and environmental impacts — has significant potential to generate large benefits but has received little systematic attention or resources. In contrast, translational medicine — which focuses on the conversion of scientific discovery into health improvement — has grown enormously in the past decade and provides useful models for other fields. Elias Zerhouni [1] developed a "new vision" for translational science to "ensure that extraordinary scientific advances of the past decade will be rapidly captured, translated, and disseminated for the benefit of all Americans." According to Francis Collins, "Opportunities to advance the discipline of translational science have never been better. We must move forward now. Science and society cannot afford to do otherwise." On 9 July 2015, the White House issued a memorandum directing U.S. federal agencies to focus on translating research into broader impacts, including commercial products and decision-making frameworks [3]. Natural hazards mitigation is one of many geoscience topics that would benefit from advances in translational science. This paper demonstrates that natural hazards mitigation can benefit from advances in translational science that address such topics as improving emergency preparedness, communicating life-saving information to government officials and citizens, explaining false positives and false negatives, working with multiple stakeholders and organizations across all sectors of the economy and all levels of government, and collaborating across a broad range of disciplines. [1] Zerhouni, EA (2005) New England Journal of Medicine 353(15):1621-1623. [2] Collins, FS (2011) Science Translational Medicine 3(90):1-6. [3] Donovan, S and Holdren, JP (2015) Multi-agency science and technology priorities for the FY 2017 budget. Executive Office of the President of the United States, 5 pp.

  7. Computer axial tomography in geosciences

    International Nuclear Information System (INIS)

    Duliu, Octavian G.

    2002-01-01

    energy dispersive detectors such as NaI(Tl) or HPGe (High Purity Germanium). In this case there are no beam hardening or absorption edge effects. Gamma-ray generated by a single radioisotope source or by pairs of sources can be used. The use of gamma-rays with different energies makes it possible to measure simultaneously both the density and effective atomic number of the absorbent, techniques known as dual energy CAT. The majority of isotopic gamma-sources have an activity a few orders of magnitude lower than X-ray tubes, which proportionally increases the acquisition time. Despite this inconvenience, dual energy CT equipped with gamma-ray sources can generate useful true density or effective atomic number maps of the investigated sections. In both cases, the use of finite diameter beam of X- or gamma-ray determine the final spatial resolution CAT images, resolution that can not be lower than the beam diameter. This peculiarity generates another effect known as the partial volume effect, so the linear attenuation coefficient corresponding to a voxel is in between numerical values of its components. In geosciences, CAT has been successfully applied to the determination of bulk density, moisture content or macroporosity of the soil, soil-plant-water system, oil sand or shales, small scale heterogeneities in siltstone or sandstone, diamonds in kimberlite, mineralization layers in manganese nodules, layered structure of metamorphic gneiss, spatial distribution of different minerals composing the basalt, local structure of marine sediments or coal composition. Indirect information concerning both major and minor components of investigated rocks can be obtained by interpreting CT images histograms. CAT method has also been used for the investigation of the rock mechanical properties, rock permeability, fracture network, two or three-phase flow or residual oil distribution in carbonate cores. A review of the current applications of CAT in soil science, sedimentology

  8. Information filtering on coupled social networks.

    Science.gov (United States)

    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.

  9. Geoscience on television

    NARCIS (Netherlands)

    Hut, Rolf; Land-Zandstra, Anne M.; Smeets, Ionica; Stoof, Cathelijne R.

    2016-01-01

    Geoscience communication is becoming increasingly important as climate change increases the occurrence of natural hazards around the world. Few geoscientists are trained in effective science communication, and awareness of the formal science communication literature is also low. This can be

  10. Agricultural information systems and communication networks: the ...

    African Journals Online (AJOL)

    The study examined the Agricultural Information and communication networks among poultry farmers in three (3) area councils of the Federal Capital Territory Abuja, Nigeria. Snow-ball sampling technique was adopted for the study, a total of One hundred and twenty-two (122) respondents were sampled for the study.

  11. Networked Information: Finding What's Out There.

    Science.gov (United States)

    Lynch, Clifford A.

    1997-01-01

    Clifford A. Lynch, developer of MELVYL and former director of library automation at the University of California, is now executive director for the Coalition for Networked Information (CNI). This interview discusses Lynch's background, MELVYL, the Web and the role of libraries and librarians, community and collaborative filtering, the library of…

  12. Comprehensive information system development and networking in ...

    African Journals Online (AJOL)

    Background/Aim: Hospital Information System(HIS) and Networking development is now the most important technology that must be embraced by all hospitals and clinics these days. Patients sometimes used to face problems in order to have quick and good services in the hospitals, often due to delay in searching for the ...

  13. Management of information supporting Collaborative Networks

    NARCIS (Netherlands)

    Afsarmanesh, H.; Camarinha-Matos, L.M.

    2009-01-01

    Dynamic creation of opportunity-based goal-oriented Collaborative Networks (CNs), among organizations or individuals, requires the availability of a variety of up-to-date information. In order to effectively address the complexity, dynamism, and scalability of actors, domains, and operations in

  14. Status and Future of Lunar Geoscience.

    Science.gov (United States)

    1986

    A review of the status, progress, and future direction of lunar research is presented in this report from the lunar geoscience working group of the National Aeronautics and Space Administration. Information is synthesized and presented in four major sections. These include: (1) an introduction (stating the reasons for lunar study and identifying…

  15. Information diffusion in structured online social networks

    Science.gov (United States)

    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.

  16. Improving information filtering via network manipulation

    Science.gov (United States)

    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.

  17. Future Careers in Geoscience

    Science.gov (United States)

    van der Vink, G. E.; van der Vink, G. E.

    2001-05-01

    A new generation of Geoscientists are abandoning the traditional pathways of oil exploration and academic research to pursue careers in public policy, international affairs, business, education and diplomacy. They are using their backgrounds in Geoscience to address challenging, multi-disciplinary problems of societal concern. To prepare for such careers, students are developing a broad understanding of science and a basic literacy in economics, international affairs, and policy-making.

  18. Maximizing information exchange between complex networks

    International Nuclear Information System (INIS)

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

    2008-01-01

    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

  19. Maximizing information exchange between complex networks

    Science.gov (United States)

    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.

  20. Maximizing information exchange between complex networks

    Energy Technology Data Exchange (ETDEWEB)

    West, Bruce J. [Mathematical and Information Science, Army Research Office, Research Triangle Park, NC 27708 (United States); Physics Department, Duke University, Durham, NC 27709 (United States)], E-mail: bwest@nc.rr.com; Geneston, Elvis L. [Center for Nonlinear Science, University of North Texas, P.O. Box 311427, Denton, TX 76203-1427 (United States); Physics Department, La Sierra University, 4500 Riverwalk Parkway, Riverside, CA 92515 (United States); Grigolini, Paolo [Center for Nonlinear Science, University of North Texas, P.O. Box 311427, Denton, TX 76203-1427 (United States); Istituto di Processi Chimico Fisici del CNR, Area della Ricerca di Pisa, Via G. Moruzzi, 56124, Pisa (Italy); Dipartimento di Fisica ' E. Fermi' Universita' di Pisa, Largo Pontecorvo 3, 56127 Pisa (Italy)

    2008-10-15

    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.

  1. Network information improves cancer outcome prediction.

    Science.gov (United States)

    Roy, Janine; Winter, Christof; Isik, Zerrin; Schroeder, Michael

    2014-07-01

    Disease progression in cancer can vary substantially between patients. Yet, patients often receive the same treatment. Recently, there has been much work on predicting disease progression and patient outcome variables from gene expression in order to personalize treatment options. Despite first diagnostic kits in the market, there are open problems such as the choice of random gene signatures or noisy expression data. One approach to deal with these two problems employs protein-protein interaction networks and ranks genes using the random surfer model of Google's PageRank algorithm. In this work, we created a benchmark dataset collection comprising 25 cancer outcome prediction datasets from literature and systematically evaluated the use of networks and a PageRank derivative, NetRank, for signature identification. We show that the NetRank performs significantly better than classical methods such as fold change or t-test. Despite an order of magnitude difference in network size, a regulatory and protein-protein interaction network perform equally well. Experimental evaluation on cancer outcome prediction in all of the 25 underlying datasets suggests that the network-based methodology identifies highly overlapping signatures over all cancer types, in contrast to classical methods that fail to identify highly common gene sets across the same cancer types. Integration of network information into gene expression analysis allows the identification of more reliable and accurate biomarkers and provides a deeper understanding of processes occurring in cancer development and progression. © The Author 2012. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  2. Integrating Information Networks for Collective Planetary Stewardship

    Science.gov (United States)

    Tiwari, A.

    2016-12-01

    Responsible behaviour resulting from climate literacy in global environmental movement is limited to policy and planning institutions in the Global South, while remaining absent for ends-user. Thus, planetary stewardship exists only at earth system boundaries where pressures sink to the local scale while ethics remains afloat. Existing citizen participation is restricted within policy spheres, appearing synonymous to enforcements in social psychology. Much, accounted reason is that existing information mechanisms operate mostly through linear exchanges between institutions and users, therefore reinforcing only hierarchical relationships. This study discloses such relationships that contribute to broad networking gaps through information demand assessment of stakeholders in a dozen development projects based in South Asia. Two parameters widely used for this purpose are: a. Feedback: Ends-user feedback to improve consumption literacy of climate sensitive resources (through consumption displays, billing, advisory services ecolabelling, sensors) and, b. Institutional Policy: Rewarding punishing to enforce desired behaviour (subsidies, taxation). Research answered: 1. Who gets the information (Equity in Information Distribution)? As existing information publishing mechanisms are designed by and for analysts, 2. How information translates to climate action Transparency of Execution)? Findings suggested that climate goals manifested in economic policy, than environmental policy, have potential clear short-term benefits and costs, and coincide with people's economic goals Also grassroots roles for responsible behaviour are empowered with presence of end user information. Barier free climate communication process and decision making is ensured among multiplicity of stakeholders with often conflicting perspectives. Research finds significance where collaboration among information networks can better translate regional policies into local action for climate adaptation and

  3. Management of Information Supporting Collaborative Networks

    Science.gov (United States)

    Afsarmanesh, Hamideh; Camarinha-Matos, Luis M.

    Dynamic creation of opportunity-based goal-oriented Collaborative Networks (CNs), among organizations or individuals, requires the availability of a variety of up-to-date information. In order to effectively address the complexity, dynamism, and scalability of actors, domains, and operations in opportunity-based CNs, pre-establishment of properly administrated strategic CNs is required. Namely, to effectively support creation/operation of opportunity-based VOs (Virtual Organizations) operating in certain domain, the pre-establishment of a VBE (Virtual organizations Breeding Environment) for that domain plays a crucial role and increases their chances of success. Administration of strategic CN environments however is challenging and requires an advanced set of inter-related functionalities, developed on top of strong management of their information. With the emphasis on information management aspects, a number of generic challenges for the CNs and especially for the administration of VBEs are introduced in the paper.

  4. Writing fiction about geoscience

    Science.gov (United States)

    Andrews, S.

    2013-12-01

    Employment in geology provides excellent preparation for writing mystery novels that teach geoscience. While doing pure research at the USGS under the mentorship of Edwin D. McKee, I learned that the rigors of the scientific method could be applied not only to scientific inquiry but to any search for what is true, including the art of storytelling (the oldest and still most potent form of communication), which in turn supports science. Geoscience constructs narratives of what has happened or what might happen; hence, to communicate my findings, I must present a story. Having developed my writing skills while preparing colleague-reviewed papers (which required that I learn to set my ego aside and survive brutal critiques), the many rounds of edits required to push a novel through a publishing house were a snap. My geoscience training for becoming a novelist continued through private industry, consultancy, and academia. Employment as a petroleum geologist added the pragmatism of bottom-line economics and working to deadlines to my skill set, and nothing could have prepared me for surviving publishers' rejections and mixed reviews better than having to pitch drilling projects to jaded oil patch managers, especially just before lunchtime, when I was all that stood between them and their first martinis of the day. Environmental consulting was an education in ignorant human tricks and the politics of resource consumption gone astray. When teaching at the college level and guest lecturing at primary and secondary schools, my students taught me that nothing was going to stick unless I related the story of geoscience to their lives. When choosing a story form for my novels, I found the mystery apropos because geoscientists are detectives. Like police detectives, we work with fragmentary and often hidden evidence using deductive logic, though our corpses tend to be much, much older or not dead yet. Throughout my career, I learned that negative stereotypes about scientists

  5. 78 FR 7797 - Homeland Security Information Network Advisory Committee (HSINAC)

    Science.gov (United States)

    2013-02-04

    ... DEPARTMENT OF HOMELAND SECURITY [Docket No. DHS-2013-0005] Homeland Security Information Network... Committee Meeting. SUMMARY: The Homeland Security Information Network Advisory Committee (HSIN AC) will meet... received by the (Homeland Security Information Network Advisory Committee), go to http://www.regulations...

  6. 76 FR 67750 - Homeland Security Information Network Advisory Committee

    Science.gov (United States)

    2011-11-02

    ... DEPARTMENT OF HOMELAND SECURITY [Docket No. DHS-2011-0107] Homeland Security Information Network... Information Network Advisory Committee. SUMMARY: The Secretary of Homeland Security has determined that the renewal of the Homeland Security Information Network Advisory Committee (HSINAC) is necessary and in the...

  7. The Geoscience Internet of Things

    Science.gov (United States)

    Lehnert, K.; Klump, J.

    2012-04-01

    Internet of Things is a term that refers to "uniquely identifiable objects (things) and their virtual representations in an Internet-like structure" (Wikipedia). We here use the term to describe new and innovative ways to integrate physical samples in the Earth Sciences into the emerging digital infrastructures that are developed to support research and education in the Geosciences. Many Earth Science data are acquired on solid earth samples through observations and experiments conducted in the field or in the lab. The application and long-term utility of sample-based data for science is critically dependent on (a) the availability of information (metadata) about the samples such as geographical location where the sample was collected, time of sampling, sampling method, etc. (b) links between the different data types available for individual samples that are dispersed in the literature and in digital data repositories, and (c) access to the samples themselves. Neither of these requirements could be achieved in the past due to incomplete documentation of samples in publications, use of ambiguous sample names, and the lack of a central catalog that allows researchers to find a sample's archiving location. New internet-based capabilities have been developed over the past few years for the registration and unique identification of samples that make it possible to overcome these problems. Services for the registration and unique identification of samples are provided by the System for Earth Sample Registration SESAR (www.geosamples.org). SESAR developed the International Geo Sample Number, or IGSN, as a unique identifier for samples and specimens collected from our natural environment. Since December 2011, the IGSN is governed by an international organization, the IGSN eV (www.igsn.org), which endorses and promotes an internationally unified approach for registration and discovery of physical specimens in the Geoscience community and is establishing a new modular and

  8. Enhancing Diversity in the Geosciences

    Science.gov (United States)

    Wechsler, Suzanne P.; Whitney, David J.; Ambos, Elizabeth L.; Rodrigue, Christine M.; Lee, Christopher T.; Behl, Richard J.; Larson, Daniel O.; Francis, Robert D.; Hold, Gregory

    2005-01-01

    An innovative interdisciplinary project at California State University, Long Beach, was designed to increase the attractiveness of the geosciences (physical geography, geology, and archaeology) to underrepresented groups. The goal was to raise awareness of the geosciences by providing summer research opportunities for underrepresented high school…

  9. Future Wireless Networks and Information Systems Volume 1

    CERN Document Server

    2012-01-01

    This volume contains revised and extended research articles written by prominent researchers participating in ICFWI 2011 conference. The 2011 International Conference on Future Wireless Networks and Information Systems (ICFWI 2011) has been held on November 30 ~ December 1, 2011, Macao, China. Topics covered include Wireless Information Networks, Wireless Networking Technologies, Mobile Software and Services, intelligent computing, network management, power engineering, control engineering, Signal and Image Processing, Machine Learning, Control Systems and Applications, The book will offer the states of arts of tremendous advances in Wireless Networks and Information Systems and also serve as an excellent reference work for researchers and graduate students working on Wireless Networks and Information Systems.

  10. Association for Women Geoscientists: enhancing gender diversity in the geosciences.

    Science.gov (United States)

    Holmes, M.; O'Connell, S.; Foos, A.

    2001-12-01

    The Association for Women Geoscientists (AWG) has been working to increase the representation and advancement of women in geoscience careers since its founding in 1977. We promote the professional development of our members and encourage women to become geoscientists by gathering and providing data on the status of women in the field, providing publications to train women in professional skills, encouraging networking, publicizing mentoring opportunities, organizing and hosting workshops, funding programs to encourage women to enter the field of geosciences, and providing scholarships, particularly to non-traditional students. We promote women geoscientists' visibility through our Phillips Petroleum Speaker's List, by recognizing an Outstanding Educator at our annual breakfast at the Geological Society of America meetings, and by putting qualified women's names forward for awards given by other geo-societies. Our paper and electronic newsletters inform our members of job and funding opportunities. These newsletters provide the geoscience community with a means of reaching a large pool of women (nearly 1000 members). Our outreach is funded by the AWG Foundation and carried out by individual members and association chapters. We provide a variety of programs, from half-day "Fossil Safaris" to two-week field excursions such as the Lincoln Chapter/Homestead Girl Scouts Council Wider Opportunity, "Nebraska Rocks!!". Our programs emphasize the field experience as the most effective "hook" for young people. We have found that women continue to be under-represented in academia in the geosciences. Data from 1995 indicate we hold only 11 percent of academic positions and 9 percent of tenure-track positions, while our enrollment at the undergraduate level has risen from 25 to 34 percent over the last ten years. The proportion of women in Master's degree programs is nearly identical with our proportions in undergraduate programs, but falls off in doctoral programs. Between 1986

  11. Design of atomic energy information network system

    International Nuclear Information System (INIS)

    Kim, Y. T.; Lee, E. J.; Han, K. W.; Lee, H. C.; Chang, J. H.

    2004-01-01

    As the 21 st century is expected to induce a Knowledge based society, responding to this kind of change on our own initiative could be achieved by establishing networks among atomic energy agencies with the Atomic Energy Portal Site in a pivotal role. Thus, enabling the knowledge information from each agency to be easily shared and utilized. Furthermore, it can contribute to further researches by providing accumulated knowledge in the atomic energy, such as research output and past achievements, and by avoiding the repetition of researches on the same subjects. It could also provide remote educational data to researchers and industrial experts in atomic energy, as well as atomic energy information for general public consistently, so that we can promote our confidence in atomic energy

  12. Educational commitment and social networking: The power of informal networks

    Science.gov (United States)

    Zwolak, Justyna P.; Zwolak, Michael; Brewe, Eric

    2018-06-01

    The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely investigated. In particular, the relative impact of in-class and out-of-class interactions remains an open issue. Here, we demonstrate that, surprisingly, for students whose grades fall in the "middle of the pack," the out-of-class network is the most significant predictor of persistence. To do so, we use logistic regression combined with Akaike's information criterion to assess in- and out-of-class networks, grades, and other factors. For students with grades at the very top (and bottom), final grade, unsurprisingly, is the best predictor of persistence—these students are likely already committed (or simply restricted from continuing) so they persist (or drop out). For intermediate grades, though, only out-of-class closeness—a measure of one's immersion in the network—helps predict persistence. This does not negate the need for in-class ties. However, it suggests that, in this cohort, only students that get past the convenient in-class interactions and start forming strong bonds outside of class are or become committed to their studies. Since many students are lost through attrition, our results suggest practical routes for increasing students' persistence in STEM majors.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  15. Optimizing online social networks for information propagation.

    Directory of Open Access Journals (Sweden)

    Duan-Bing Chen

    Full Text Available Online users nowadays are facing serious information overload problem. In recent years, recommender systems have been widely studied to help people find relevant information. Adaptive social recommendation is one of these systems in which the connections in the online social networks are optimized for the information propagation so that users can receive interesting news or stories from their leaders. Validation of such adaptive social recommendation methods in the literature assumes uniform distribution of users' activity frequency. In this paper, our empirical analysis shows that the distribution of online users' activity is actually heterogenous. Accordingly, we propose a more realistic multi-agent model in which users' activity frequency are drawn from a power-law distribution. We find that previous social recommendation methods lead to serious delay of information propagation since many users are connected to inactive leaders. To solve this problem, we design a new similarity measure which takes into account users' activity frequencies. With this similarity measure, the average delay is significantly shortened and the recommendation accuracy is largely improved.

  16. Optimizing online social networks for information propagation.

    Science.gov (United States)

    Chen, Duan-Bing; Wang, Guan-Nan; Zeng, An; Fu, Yan; Zhang, Yi-Cheng

    2014-01-01

    Online users nowadays are facing serious information overload problem. In recent years, recommender systems have been widely studied to help people find relevant information. Adaptive social recommendation is one of these systems in which the connections in the online social networks are optimized for the information propagation so that users can receive interesting news or stories from their leaders. Validation of such adaptive social recommendation methods in the literature assumes uniform distribution of users' activity frequency. In this paper, our empirical analysis shows that the distribution of online users' activity is actually heterogenous. Accordingly, we propose a more realistic multi-agent model in which users' activity frequency are drawn from a power-law distribution. We find that previous social recommendation methods lead to serious delay of information propagation since many users are connected to inactive leaders. To solve this problem, we design a new similarity measure which takes into account users' activity frequencies. With this similarity measure, the average delay is significantly shortened and the recommendation accuracy is largely improved.

  17. Research on network information security model and system construction

    OpenAIRE

    Wang Haijun

    2016-01-01

    It briefly describes the impact of large data era on China’s network policy, but also brings more opportunities and challenges to the network information security. This paper reviews for the internationally accepted basic model and characteristics of network information security, and analyses the characteristics of network information security and their relationship. On the basis of the NIST security model, this paper describes three security control schemes in safety management model and the...

  18. Smartphones: Powerful Tools for Geoscience Education

    Science.gov (United States)

    Johnson, Zackary I.; Johnston, David W.

    2013-11-01

    Observation, formation of explanatory hypotheses, and testing of ideas together form the basic pillars of much science. Consequently, science education has often focused on the presentation of facts and theories to teach concepts. To a great degree, libraries and universities have been the historical repositories of scientific information, often restricting access to a small segment of society and severely limiting broad-scale geoscience education.

  19. Teaching Geoethics Across the Geoscience Curriculum

    Science.gov (United States)

    Mogk, David; Bruckner, Monica; Kieffer, Susan; Geissman, John; Reidy, Michael; Taylor, Shaun; Vallero, Daniel

    2015-04-01

    Training in geoethics is an important part of pre-professional development of geoscientists. Professional societies, governmental agencies, and employers of the geoscience workforce increasingly expect that students have had some training in ethics to guide their professional lives, and the public demands that scientists abide by the highest standards of ethical conduct. The nature of the geosciences exposes the profession to ethical issues that derive from our work in a complex, dynamic Earth system with an incomplete geologic record and a high degree of uncertainty and ambiguity in our findings. The geosciences also address topics such as geohazards and resource development that have ethical dimensions that impact on the health, security, public policies, and economic well-being of society. However, there is currently no formal course of study to integrate geoethics into the geoscience curriculum and few faculty have the requisite training to effectively teach about ethics in their classes, or even informally in mentoring their research students. To address this need, an NSF-funded workshop was convened to explore how ethics education can be incorporated into the geoscience curriculum. The workshop addressed topics such as where and how should geoethics be taught in a range of courses including introductory courses for non-majors, as embedded modules in existing geoscience courses, or as a dedicated course for majors on geoethics; what are the best pedagogic practices in teaching ethics, including lessons learned from cognate disciplines (philosophy, biology, engineering); what are the goals for teaching geoethics, and what assessments can be used to demonstrate mastery of ethical principles; what resources currently exist to support teaching geoethics, and what new resources are needed? The workshop also explored four distinct but related aspects of geoethics: 1) Geoethics and self: what are the internal attributes of a geoscientist that establish the ethical

  20. MS PHD'S: A Successful Model Promoting Inclusion, Preparation and Engagement of Underrepresented Minorities within the Geosciences Workforce

    Science.gov (United States)

    Padilla, E.; Scott, O.; Strickland, J. T.; Ricciardi, L.; Guzman, W. I.; Braxton, L.; Williamson, V.; Johnson, A.

    2015-12-01

    According to 2014 findings of the National Research Council, geoscience and related industries indicate an anticipated 48,000 blue-collar, scientific, and managerial positions to be filled by underrepresented minority (URM) workers in the next 15 years. An Information Handling Services (IHS) report prepared for the American Petroleum Institute forecasts even greater numbers estimating upward of 408,000 opportunities for URM workers related to growth in accelerated development of oil, gas and petroleum industries. However, many URM students lack the training in both the hard sciences and craft skills necessary to fill these positions. The Minorities Striving and Pursuing Higher Degrees of Success in Earth System Science (MS PHD'S) Professional Development Program uses integrative and holistic strategies to better prepare URM students for entry into all levels of the geoscience workforce. Through a three-phase program of mentoring, community building, networking and professional development activities, MS PHD'S promotes collaboration, critical thinking, and soft skills development for participants. Program activities expose URM students to education, training and real-life geoscience workforce experiences while maintaining a continuity of supportive mentoring and training networks via an active virtual community. MS PHD'S participants report increased self-confidence and self-efficacy in pursuing geoscience workforce goals. To date, the program supports 223 participants of who 57, 21 and 16 have received Doctorate, Masters and Baccalaureate degrees respectively and are currently employed within the geoscience and related industries workforce. The remaining 129 participants are enrolled in undergraduate and graduate programs throughout the U.S. Geographic representation of participants includes 35 states, the District of Columbia, Puerto Rico and two international postdoctoral appointments - one in Saudi Arabia and the other in France.

  1. VIOLIN: vaccine investigation and online information network.

    Science.gov (United States)

    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.

  2. Deep Space Network information system architecture study

    Science.gov (United States)

    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.

  3. Opportunistic Beacon Networks: Information Dissemination via Wireless Network Identifiers

    NARCIS (Netherlands)

    Türkes, Okan; Scholten, Johan; Havinga, Paul J.M.

    2016-01-01

    This paper presents OBN, a universal opportunistic ad hoc networking model particularly intended for smart mobile devices. It enables fast and lightweight data dissemination in wireless community networks through the utilization of universally-available wireless network identifiers. As a ubiquitous

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

    Science.gov (United States)

    Li, Tianli

    2017-11-01

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

  5. An Analysis of NSF Geosciences Research Experience for Undergraduate Site Programs from 2009 through 2011

    Science.gov (United States)

    Rom, E. L.; Patino, L. C.; Weiler, S.; Sanchez, S. C.; Colon, Y.; Antell, L.

    2011-12-01

    The Research Experience for Undergraduate (REU) Program at the U.S. National Science Foundation (NSF) provides U.S. undergraduate students from any college or university the opportunity to conduct research at a different institution and gain a better understanding of research career pathways. The Geosciences REU Sites foster research opportunities in areas closely aligned with geoscience programs, particularly those related to earth, atmospheric and ocean sciences. The aim of this paper is to provide an overview of the Geosciences REU Site programs run in 2009 through 2011. A survey requesting information on recruitment methods, student demographics, enrichment activities, and fields of research was sent to the Principal Investigators of each of the active REU Sites. Over 70% of the surveys were returned with the requested information from about 50 to 60 sites each year. The internet is the most widely used mechanism to recruit participants, with personal communication as the second most important recruiting tool. The admissions rate for REU Sites in Geosciences varies from less than 10% to 50%, with the majority of participants being rising seniors and juniors. Many of the participants come from non-PhD granting institutions. Among the participants, gender distribution varies by discipline, with ocean sciences having a large majority of women and earth sciences having a majority of men. Regarding ethnic diversity, the REU Sites reflect the difficulty of attracting diverse students into Geosciences as a discipline; a large majority of participants are Caucasian and Asian students. Furthermore, participants from minority-serving institutions and community colleges constitute a small percentage of those taking part in these research experiences. The enrichment activities are very similar across the REU Sites, and mimic activities common to the scientific community, including intellectual exchange of ideas (lab meetings, seminars, and professional meetings

  6. Proceedings of the geosciences workshop

    Energy Technology Data Exchange (ETDEWEB)

    None

    1991-01-01

    The manuscripts in these proceedings represent current understanding of geologic issues associated with the Weldon Spring Site Remedial Action Project (WSSRAP). The Weldon Spring site is in St. Charles County, Missouri. The proceedings are the record of the information presented during the WSSRAP Geosciences Workshop conducted on February 21, 1991. The objective of the workshop and proceedings is to provide the public and scientific community with technical information that will facilitate a common understanding of the geology of the Weldon Spring site, of the studies that have been and will be conducted, and of the issues associated with current and planned activities at the site. This coverage of geologic topics is part of the US Department of Energy overall program to keep the public fully informed of the status of the project and to address public concerns as we clean up the site and work toward the eventual release of the property for use by this and future generations. Papers in these proceedings detail the geology and hydrology of the site. The mission of the WSSRAP derives from the US Department of Energy's Surplus Facilities Management Program. The WSSRAP will eliminate potential hazards to the public and the environment and make surplus real property available for other uses to the extent possible. This will be accomplished by conducting remedial actions which will place the quarry, the raffinate pits, the chemical plant, and the vicinity properties in a radiologically and chemically safe condition. The individual papers have been catalogued separately.

  7. Linking research, education and public engagement in geoscience: Leadership and strategic partnerships

    Science.gov (United States)

    Laj, C. E.

    2017-12-01

    As a research scientist I have always been interested in sharing whatever I knew with the general public and with teachers, who have the responsibility of forming young people, our ambassadors to the future. The turning point in my educational activities was in 2002, when the European Geosciences Union (EGU) welcomed my proposition to develop a Committee on Education. One of the committee's main activities is the organisation of GIFT (Geosciences Information for Teachers) workshops, held annually during the EGU General Assembly. Typically, these workshops bring together about 80 teachers from 20-25 different countries around a general theme that changes every year. Teachers are offered a mixture of keynote presentations by renowned scientists, and participate to classroom hands-on activities led by high-class educators. They also participate to a poster session, open to every participant to the GA, in which they can show to everyone the activities they have developed in their classroom. Therefore, EGU GIFT workshops spread first-hand scientific information to science teachers, and also offer teachers an exceptional way to networking with fellow teachers worldwide. Speakers are chosen from the academic world, national geosciences organisations such as BGS (UK), BRGM (France), INGV (Italy), the European Space Agency (ESA), CEA (France), from private companies (Total), or from International Organizations for policy makers such as the International Energy Agency (IEA), and IPCC. Since 2010, EGU GIFT workshops have been organized beyond Europe, in connection with EGU Alexander von Humboldt Conferences and other major International Conferences, or in collaboration with local or international organisations. A `Teachers at Sea' program has also been developed for teachers to be able to take part in an Oceanographic cruise. Also, in collaboration with the media manager of EGU the Committee has participated in "Planet Press", a program of geoscience press releases for

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

    Science.gov (United States)

    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.

  9. Modeling the reemergence of information diffusion in social network

    Science.gov (United States)

    Yang, Dingda; Liao, Xiangwen; Shen, Huawei; Cheng, Xueqi; Chen, Guolong

    2018-01-01

    Information diffusion in networks is an important research topic in various fields. Existing studies either focus on modeling the process of information diffusion, e.g., independent cascade model and linear threshold model, or investigate information diffusion in networks with certain structural characteristics such as scale-free networks and small world networks. However, there are still several phenomena that have not been captured by existing information diffusion models. One of the prominent phenomena is the reemergence of information diffusion, i.e., a piece of information reemerges after the completion of its initial diffusion process. In this paper, we propose an optimized information diffusion model by introducing a new informed state into traditional susceptible-infected-removed model. We verify the proposed model via simulations in real-world social networks, and the results indicate that the model can reproduce the reemergence of information during the diffusion process.

  10. Information filtering in evolving online networks

    Science.gov (United States)

    Chen, Bo-Lun; Li, Fen-Fen; Zhang, Yong-Jun; Ma, Jia-Lin

    2018-02-01

    Recommender systems use the records of users' activities and profiles of both users and products to predict users' preferences in the future. Considerable works towards recommendation algorithms have been published to solve the problems such as accuracy, diversity, congestion, cold-start, novelty, coverage and so on. However, most of these research did not consider the temporal effects of the information included in the users' historical data. For example, the segmentation of the training set and test set was completely random, which was entirely different from the real scenario in recommender systems. More seriously, all the objects are treated as the same, regardless of the new, the popular or obsoleted products, so do the users. These data processing methods always lose useful information and mislead the understanding of the system's state. In this paper, we detailed analyzed the difference of the network structure between the traditional random division method and the temporal division method on two benchmark data sets, Netflix and MovieLens. Then three classical recommendation algorithms, Global Ranking method, Collaborative Filtering and Mass Diffusion method, were employed. The results show that all these algorithms became worse in all four key indicators, ranking score, precision, popularity and diversity, in the temporal scenario. Finally, we design a new recommendation algorithm based on both users' and objects' first appearance time in the system. Experimental results showed that the new algorithm can greatly improve the accuracy and other metrics.

  11. Geoscience Education Research, Development, and Practice at Arizona State University

    Science.gov (United States)

    Semken, S. C.; Reynolds, S. J.; Johnson, J.; Baker, D. R.; Luft, J.; Middleton, J.

    2009-12-01

    Geoscience education research and professional development thrive in an authentically trans-disciplinary environment at Arizona State University (ASU), benefiting from a long history of mutual professional respect and collaboration among STEM disciplinary researchers and STEM education researchers--many of whom hold national and international stature. Earth science education majors (pre-service teachers), geoscience-education graduate students, and practicing STEM teachers richly benefit from this interaction, which includes team teaching of methods and research courses, joint mentoring of graduate students, and collaboration on professional development projects and externally funded research. The geologically, culturally, and historically rich Southwest offers a superb setting for studies of formal and informal teaching and learning, and ASU graduates the most STEM teachers of any university in the region. Research on geoscience teaching and learning at ASU is primarily conducted by three geoscience faculty in the School of Earth and Space Exploration and three science-education faculty in the Mary Lou Fulton Institute and Graduate School of Education. Additional collaborators are based in the College of Teacher Education and Leadership, other STEM schools and departments, and the Center for Research on Education in Science, Mathematics, Engineering, and Technology (CRESMET). Funding sources include NSF, NASA, US Dept Ed, Arizona Board of Regents, and corporations such as Resolution Copper. Current areas of active research at ASU include: Visualization in geoscience learning; Place attachment and sense of place in geoscience learning; Affective domain in geoscience learning; Culturally based differences in geoscience concepts; Use of annotated concept sketches in learning, teaching, and assessment; Student interactions with textbooks in introductory courses; Strategic recruitment and retention of secondary-school Earth science teachers; Research-based professional

  12. Designing and Using Videos in Undergraduate Geoscience Education - a workshop and resource website review

    Science.gov (United States)

    Wiese, K.; Mcconnell, D. A.

    2014-12-01

    Do you use video in your teaching? Do you make your own video? Interested in joining our growing community of geoscience educators designing and using video inside and outside the classroom? Over four months in Spring 2014, 22 educators of varying video design and development expertise participated in an NSF-funded On the Cutting Edge virtual workshop to review the best educational research on video design and use; to share video-development/use strategies and experiences; and to develop a website of resources for a growing community of geoscience educators who use video: http://serc.carleton.edu/NAGTWorkshops/video/workshop2014/index.html. The site includes links to workshop presentations, teaching activity collections, and a growing collection of online video resources, including "How-To" videos for various video editing or video-making software and hardware options. Additional web resources support several topical themes including: using videos to flip classes, handling ADA access and copyright issues, assessing the effectiveness of videos inside and outside the classroom, best design principles for video learning, and lists and links of the best videos publicly available for use. The workshop represents an initial step in the creation of an informal team of collaborators devoted to the development and support of an ongoing network of geoscience educators designing and using video. Instructors who are interested in joining this effort are encouraged to contact the lead author.

  13. Organizational Application of Social Networking Information Technologies

    Science.gov (United States)

    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…

  14. Distributed Data Networks That Support Public Health Information Needs.

    Science.gov (United States)

    Tabano, David C; Cole, Elizabeth; Holve, Erin; Davidson, Arthur J

    Data networks, consisting of pooled electronic health data assets from health care providers serving different patient populations, promote data sharing, population and disease monitoring, and methods to assess interventions. Better understanding of data networks, and their capacity to support public health objectives, will help foster partnerships, expand resources, and grow learning health systems. We conducted semistructured interviews with 16 key informants across the United States, identified as network stakeholders based on their respective experience in advancing health information technology and network functionality. Key informants were asked about their experience with and infrastructure used to develop data networks, including each network's utility to identify and characterize populations, usage, and sustainability. Among 11 identified data networks representing hundreds of thousands of patients, key informants described aggregated health care clinical data contributing to population health measures. Key informant interview responses were thematically grouped to illustrate how networks support public health, including (1) infrastructure and information sharing; (2) population health measures; and (3) network sustainability. Collaboration between clinical data networks and public health entities presents an opportunity to leverage infrastructure investments to support public health. Data networks can provide resources to enhance population health information and infrastructure.

  15. An information spreading model based on online social networks

    Science.gov (United States)

    Wang, Tao; He, Juanjuan; Wang, Xiaoxia

    2018-01-01

    Online social platforms are very popular in recent years. In addition to spreading information, users could review or collect information on online social platforms. According to the information spreading rules of online social network, a new information spreading model, namely IRCSS model, is proposed in this paper. It includes sharing mechanism, reviewing mechanism, collecting mechanism and stifling mechanism. Mean-field equations are derived to describe the dynamics of the IRCSS model. Moreover, the steady states of reviewers, collectors and stiflers and the effects of parameters on the peak values of reviewers, collectors and sharers are analyzed. Finally, numerical simulations are performed on different networks. Results show that collecting mechanism and reviewing mechanism, as well as the connectivity of the network, make information travel wider and faster, and compared to WS network and ER network, the speed of reviewing, sharing and collecting information is fastest on BA network.

  16. Geoscience as an Agent for Change in Higher Education

    Science.gov (United States)

    Manduca, C. A.; Orr, C. H.; Kastens, K.

    2016-12-01

    As our society becomes more aware of the realities of the resource and environmental challenges that face us, we have the opportunity to educate more broadly about the role of geoscience in addressing these challenges. The InTeGrate STEP Center is using three strategies to bring learning about the Earth to a wider population of undergraduate students: 1) infusing geoscience into disciplinary courses throughout the curriculum; 2) creating interdisciplinary or transdisciplinary courses with a strong geoscience component that draw a wide audience; and 3) embedding more opportunities to learn about the methods of geoscience and their application to societal challenges in courses for future teachers. InTeGrate is also bringing more emphasis on geoscience in service to societal challenges to geoscience students in introductory geoscience courses and courses for geoscience majors. Teaching science in a societal context is known to make science concepts more accessible for many learners, while learning to use geoscience to solve real world, interdisciplinary problems better prepares students for the 21stcentury workforce and for the decisions they will make as individuals and citizens. InTeGrate has developed materials and models that demonstrate a wide variety of strategies for increasing opportunities to learn about the Earth in a societal context that are freely available on the project website (http://serc.carleton.edu/integrate) and that form the foundation of ongoing professional development opportunities nationwide. The strategies employed by InTeGrate reflect a systems approach to educational transformation, the importance of networks and communities in supporting change, and the need for resources designed for adaptability and use. The project is demonstrating how geoscience can play a larger role in higher education addressing topics of wide interest including 1) preparing a competitive workforce by increasing the STEM skills of students regardless of their major

  17. Mechanisms of protection of information in computer networks and systems

    Directory of Open Access Journals (Sweden)

    Sergey Petrovich Evseev

    2011-10-01

    Full Text Available Protocols of information protection in computer networks and systems are investigated. The basic types of threats of infringement of the protection arising from the use of computer networks are classified. The basic mechanisms, services and variants of realization of cryptosystems for maintaining authentication, integrity and confidentiality of transmitted information are examined. Their advantages and drawbacks are described. Perspective directions of development of cryptographic transformations for the maintenance of information protection in computer networks and systems are defined and analyzed.

  18. Classification Method in Integrated Information Network Using Vector Image Comparison

    Directory of Open Access Journals (Sweden)

    Zhou Yuan

    2014-05-01

    Full Text Available Wireless Integrated Information Network (WMN consists of integrated information that can get data from its surrounding, such as image, voice. To transmit information, large resource is required which decreases the service time of the network. In this paper we present a Classification Approach based on Vector Image Comparison (VIC for WMN that improve the service time of the network. The available methods for sub-region selection and conversion are also proposed.

  19. Summaries of physical research in the geosciences

    International Nuclear Information System (INIS)

    1978-09-01

    The Department of Energy supports research in the geosciences in order to provide a sound underlay of fundamental knowledge in those areas of the earth, atmospheric, and solar/terrestrial sciences which relate to DOE's many missions. This research may be conducted in the major DOE laboratories, industry, universities and other government agencies. Such support provides for payment of salaries, purchase of equipment and other materials, an allowance for overhead costs, and is formalized by a contract between the Department and the organization performing the work. The summaries in this document, prepared by the investigators, describe the work performed during 1977, include the scope of the work to be performed in 1978 and provide information regarding some of the research planned for 1979. The Division of Engineering, Mathematics, and Geosciences, which is a part of the Office of Energy Research, supports, under its Geoscience Program, research in geology, petrology, geophysics, geochemistry, hydrology, solar-terrestrial relationships, aeronomy, seismology and natural resource analysis, including the various subdivisions and interdisciplinary relationships, as well as their relationship to the Department's technological needs

  20. A flood-based information flow analysis and network minimization method for gene regulatory networks.

    Science.gov (United States)

    Pavlogiannis, Andreas; Mozhayskiy, Vadim; Tagkopoulos, Ilias

    2013-04-24

    Biological networks tend to have high interconnectivity, complex topologies and multiple types of interactions. This renders difficult the identification of sub-networks that are involved in condition- specific responses. In addition, we generally lack scalable methods that can reveal the information flow in gene regulatory and biochemical pathways. Doing so will help us to identify key participants and paths under specific environmental and cellular context. This paper introduces the theory of network flooding, which aims to address the problem of network minimization and regulatory information flow in gene regulatory networks. Given a regulatory biological network, a set of source (input) nodes and optionally a set of sink (output) nodes, our task is to find (a) the minimal sub-network that encodes the regulatory program involving all input and output nodes and (b) the information flow from the source to the sink nodes of the network. Here, we describe a novel, scalable, network traversal algorithm and we assess its potential to achieve significant network size reduction in both synthetic and E. coli networks. Scalability and sensitivity analysis show that the proposed method scales well with the size of the network, and is robust to noise and missing data. The method of network flooding proves to be a useful, practical approach towards information flow analysis in gene regulatory networks. Further extension of the proposed theory has the potential to lead in a unifying framework for the simultaneous network minimization and information flow analysis across various "omics" levels.

  1. Geoscience Digital Data Resource and Repository Service

    Science.gov (United States)

    Mayernik, M. S.; Schuster, D.; Hou, C. Y.

    2017-12-01

    The open availability and wide accessibility of digital data sets is becoming the norm for geoscience research. The National Science Foundation (NSF) instituted a data management planning requirement in 2011, and many scientific publishers, including the American Geophysical Union and the American Meteorological Society, have recently implemented data archiving and citation policies. Many disciplinary data facilities exist around the community to provide a high level of technical support and expertise for archiving data of particular kinds, or for particular projects. However, a significant number of geoscience research projects do not have the same level of data facility support due to a combination of several factors, including the research project's size, funding limitations, or topic scope that does not have a clear facility match. These projects typically manage data on an ad hoc basis without limited long-term management and preservation procedures. The NSF is supporting a workshop to be held in Summer of 2018 to develop requirements and expectations for a Geoscience Digital Data Resource and Repository Service (GeoDaRRS). The vision for the prospective GeoDaRRS is to complement existing NSF-funded data facilities by providing: 1) data management planning support resources for the general community, and 2) repository services for researchers who have data that do not fit in any existing repository. Functionally, the GeoDaRRS would support NSF-funded researchers in meeting data archiving requirements set by the NSF and publishers for geosciences, thereby ensuring the availability of digital data for use and reuse in scientific research going forward. This presentation will engage the AGU community in discussion about the needs for a new digital data repository service, specifically to inform the forthcoming GeoDaRRS workshop.

  2. The "Planet Earth Week": a National Scientific Festival helping Italy Discover Geosciences.

    Science.gov (United States)

    Seno, S.; Coccioni, R.

    2017-12-01

    The "Planet Earth Week- Italy Discovering Geosciences: a More Informed Society is a More Engaged Society" (www.settimanaterra.org) is a science festival that involves the whole of the Italian Regions: founded in 2012, it has become the largest event of Italian Geosciences and one of the biggest European science festivals. During a week in October several locations distributed throughout the Country (see map) are animated by events, called "Geoeventi", to disseminate geosciences to the masses and deliver science education by means of a wide range of activities: hiking, walking in city and town centers, open-door at museums and research centers, guided tours, exhibitions, educational and experimental workshops for children and young people, music and art performances, food and wine events, lectures, conferences, round tables. Universities and colleges, research centers, local Authorities, cultural and scientific associations, parks and museums, professionals organize the Geoeventi. The festival aims at bringing adults and young people to Geosciences, conveying enthusiasm for scientific research and discoveries, promoting sustainable cultural tourism, aware of environmental values and distributed all over Italy. The Geoeventi shed light both on the most spectacular and on the less known geological sites, which are often a stone's throw from home. The Planet Earth Week is growing year after year: the 2016 edition proposed 310 Geoeventi, 70 more than in 2015. The number of places involved in the project also increased and rose from 180 in 2015 to 230 in 2016. This initiative, that is also becoming a significant economic driver for many small companies active in the field of science divulgation, is analyzed, evaluated and put in a transnational network perspective.

  3. The Elwha Science Education Project (ESEP): Engaging an Entire Community in Geoscience Education

    Science.gov (United States)

    Young, R. S.; Kinner, F.

    2008-12-01

    Native Americans are poorly represented in all science, technology and engineering fields. This under- representation results from numerous cultural, economic, and historical factors. The Elwha Science Education Project (ESEP), initiated in 2007, strives to construct a culturally-integrated, geoscience education program for Native American young people through engagement of the entire tribal community. The ESEP has developed a unique approach to informal geoscience education, using environmental restoration as a centerpiece. Environmental restoration is an increasingly important goal for tribes. By integrating geoscience activities with community tradition and history, project stakeholders hope to show students the relevance of science to their day-to-day lives. The ESEP's strength lies in its participatory structure and unique network of partners, which include Olympic National Park; the non-profit, educational center Olympic Park Institute (OPI); a geologist providing oversight and technical expertise; and the Lower Elwha Tribe. Lower Elwha tribal elders and educators share in all phases of the project, from planning and implementation to recruitment of students and discipline. The project works collaboratively with tribal scientists and cultural educators, along with science educators to develop curriculum and best practices for this group of students. Use of hands-on, place-based outdoor activities engage students and connect them with the science outside their back doors. Preliminary results from this summer's middle school program indicate that most (75% or more) students were highly engaged approximately 90% of the time during science instruction. Recruitment of students has been particularly successful, due to a high degree of community involvement. Preliminary evaluations of the ESEP's outcomes indicate success in improving the outlook of the tribe's youth towards the geosciences and science, in general. Future evaluation will be likewise participatory

  4. Spatial anomaly detection in sensor networks using neighborhood information

    NARCIS (Netherlands)

    Bosman, H.H.W.J.; Iacca, G.; Tejada, A.; Wörtche, H.J.; Liotta, A.

    2016-01-01

    The field of wireless sensor networks (WSNs), embedded systems with sensing and networking capabil- ity, has now matured after a decade-long research effort and technological advances in electronics and networked systems. An important remaining challenge now is to extract meaningful information from

  5. Spatial anomaly detection in sensor networks using neighborhood information

    NARCIS (Netherlands)

    Bosman, H.H.W.J.; Iacca, G.; Tejada, A.; Wörtche, H.J.; Liotta, A.

    The field of wireless sensor networks (WSNs), embedded systems with sensing and networking capability, has now matured after a decade-long research effort and technological advances in electronics and networked systems. An important remaining challenge now is to extract meaningful information from

  6. Social Networking among Library and Information Science Undergraduate Students

    Science.gov (United States)

    Alakpodia, Onome Norah

    2015-01-01

    The purpose of this study was to examine social networking use among Library and Information Science students of the Delta State University, Abraka. In this study, students completed a questionnaire which assessed their familiarity with social networking sites, the purpose for which they use social networking site and their most preferred sites to…

  7. Open Geoscience Database

    Science.gov (United States)

    Bashev, A.

    2012-04-01

    Currently there is an enormous amount of various geoscience databases. Unfortunately the only users of the majority of the databases are their elaborators. There are several reasons for that: incompaitability, specificity of tasks and objects and so on. However the main obstacles for wide usage of geoscience databases are complexity for elaborators and complication for users. The complexity of architecture leads to high costs that block the public access. The complication prevents users from understanding when and how to use the database. Only databases, associated with GoogleMaps don't have these drawbacks, but they could be hardly named "geoscience" Nevertheless, open and simple geoscience database is necessary at least for educational purposes (see our abstract for ESSI20/EOS12). We developed a database and web interface to work with them and now it is accessible at maps.sch192.ru. In this database a result is a value of a parameter (no matter which) in a station with a certain position, associated with metadata: the date when the result was obtained; the type of a station (lake, soil etc); the contributor that sent the result. Each contributor has its own profile, that allows to estimate the reliability of the data. The results can be represented on GoogleMaps space image as a point in a certain position, coloured according to the value of the parameter. There are default colour scales and each registered user can create the own scale. The results can be also extracted in *.csv file. For both types of representation one could select the data by date, object type, parameter type, area and contributor. The data are uploaded in *.csv format: Name of the station; Lattitude(dd.dddddd); Longitude(ddd.dddddd); Station type; Parameter type; Parameter value; Date(yyyy-mm-dd). The contributor is recognised while entering. This is the minimal set of features that is required to connect a value of a parameter with a position and see the results. All the complicated data

  8. How Accessible Are the Geosciences? a Study of Professionally Held Perceptions and What They Mean for the Future of Geoscience Workforce Development

    Science.gov (United States)

    Atchison, C.; Libarkin, J. C.

    2014-12-01

    Individuals with disabilities are not entering pathways leading to the geoscience workforce; the reasons for which continue to elude access-focused geoscience educators. While research has focused on barriers individuals face entering into STEM disciplines, very little research has considered the role that practitioner perceptions play in limiting access and accommodation to scientific disciplines. The authors argue that changing the perceptions within the geoscience community is an important step to removing barriers to entry into the myriad fields that make up the geosciences. This paper reports on an investigation of the perceptions that geoscientist practitioners hold about opportunities for engagement in geoscience careers for people with disabilities. These perspectives were collected through three separate iterations of surveys at three professional geoscience meetings in the US and Australia between 2011 and 2012. Respondents were asked to indicate the extent to which individuals with specific types of disabilities would be able to perform various geoscientific tasks. The information obtained from these surveys provides an initial step in engaging the larger geoscience community in a necessary discussion of minimizing the barriers of access to include students and professionals with disabilities. The results imply that a majority of the geoscience community believes that accessible opportunities exist for inclusion regardless of disability. This and other findings suggest that people with disabilities are viewed as viable professionals once in the geosciences, but the pathways into the discipline are prohibitive. Perceptions of how individuals gain entry into the field are at odds with perceptions of accessibility. This presentation will discuss the common geoscientist perspectives of access and inclusion in the geoscience discipline and how these results might impact the future of the geoscience workforce pathway for individuals with disabilities.

  9. Obtaining informedness in collaborative networks through automated information provisioning

    DEFF Research Database (Denmark)

    Thimm, Heiko; Rasmussen, Karsten Boye

    2013-01-01

    Successful collaboration in business networks calls for well-informed network participants. Members who know about the many aspects of the network are an effective vehicle to successfully resolve conflicts, build a prospering collaboration climate and promote trust within the network. The importa......Successful collaboration in business networks calls for well-informed network participants. Members who know about the many aspects of the network are an effective vehicle to successfully resolve conflicts, build a prospering collaboration climate and promote trust within the network...... provisioning service. This article presents a corresponding modelling framework and a rule-based approach for the active system capabilities required. Details of a prototype implementation building on concepts of the research area of active databases are also reported....

  10. Multiagent Based Information Dissemination in Vehicular Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    S.S. Manvi

    2009-01-01

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

  11. Systems, Society, Sustainability and the Geosciences: A Workshop to Create New Curricular Materials to Integrate Geosciences into the Teaching of Sustainability

    Science.gov (United States)

    Gosselin, D. C.; Manduca, C. A.; Oches, E. A.; MacGregor, J.; Kirk, K. B.

    2012-12-01

    Sustainability is emerging as a central theme for teaching about the environment, whether it be from the perspective of science, economics, or society. The Systems, Society, Sustainability and the Geosciences workshop provided 48 undergraduate faculty from 46 institutions a forum to discuss the challenges and possibilities for integrating geoscience concepts with a range of other disciplines to teach about the fundamentals of sustainability. Participants from community college to doctorate-granting universities had expertise that included geosciences, agriculture, biological sciences, business, chemistry, economics, ethnic studies, engineering, environmental studies, environmental education, geography, history, industrial technology, landscape design, philosophy, physics, and political science. The workshop modeled a range of teaching strategies that encouraged participants to network and collaborate, share successful strategies and materials for teaching sustainability, and identify opportunities for the development of new curricular materials that will have a major impact on the integration of geosciences into the teaching of sustainability. The workshop design provided participants an opportunity to reflect upon their teaching, learning, and curriculum. Throughout the workshop, participants recorded their individual and collective ideas in a common online workspace to which all had access. A preliminary synthesis of this information indicates that the concept of sustainability is a strong organizing principle for modern, liberal education requiring systems thinking, synthesis and contributions from all disciplines. Sustainability is inherently interdisciplinary and provides a framework for educational collaboration between and among geoscientists, natural/physical scientists, social scientists, humanists, engineers, etc.. This interdisciplinary framework is intellectually exciting and productive for educating students at all levels of higher education

  12. Optimal control of epidemic information dissemination over networks.

    Science.gov (United States)

    Chen, Pin-Yu; Cheng, Shin-Ming; Chen, Kwang-Cheng

    2014-12-01

    Information dissemination control is of crucial importance to facilitate reliable and efficient data delivery, especially in networks consisting of time-varying links or heterogeneous links. Since the abstraction of information dissemination much resembles the spread of epidemics, epidemic models are utilized to characterize the collective dynamics of information dissemination over networks. From a systematic point of view, we aim to explore the optimal control policy for information dissemination given that the control capability is a function of its distribution time, which is a more realistic model in many applications. The main contributions of this paper are to provide an analytically tractable model for information dissemination over networks, to solve the optimal control signal distribution time for minimizing the accumulated network cost via dynamic programming, and to establish a parametric plug-in model for information dissemination control. In particular, we evaluate its performance in mobile and generalized social networks as typical examples.

  13. Teaching Geosciences With Visualizations: Challenges for Spatial Thinking and Abilities

    Science.gov (United States)

    Montello, D. R.

    2004-12-01

    It is widely recognized that the geosciences are very spatial disciplines. Their subject matter includes phenomena on, under, and above the Earth surface whose spatial properties are critical to understanding them. Important spatial properties of geoscience structures and processes include location (both absolute and relative), size, shape, and pattern; temporal changes in spatial properties are also of interest. Information visualizations that depict spatiality are thus critically important to teaching in the geosciences, at all levels from K-12 to Ph.D. work; verbal and mathematical descriptions are quite insufficient by themselves. Such visualizations range from traditional maps and diagrams to digital animations and virtual environments. These visualizations are typically rich and complex because they are attempts to communicate rich and complex realities. Thus, understanding geoscience visualizations accurately and efficiently involves complex spatial thinking. Over a century of psychometric and experimental research reveals some of the cognitive components of spatial thinking, and provides insight into differences among individuals and groups of people in their abilities to think spatially. Some research has specifically examined these issues within the context of geoscience education, and recent research is expanding these investigations into the realm of new digital visualizations that offer the hope of using visualizations to teach complex geoscience concepts with unprecedented effectiveness. In this talk, I will briefly highlight some of the spatial cognitive challenges to understanding geoscience visualizations, including the pervasive and profound individual and group differences in spatial abilities. I will also consider some visualization design issues that arise because of the cognitive and ability challenges. I illustrate some of these research issues with examples from research being conducted by my colleagues and me, research informed by

  14. Oceanographic data and information network in the Indian Ocean

    Digital Repository Service at National Institute of Oceanography (India)

    Sarupria, J.S.; Reddy, G.V.

    National Oceanographic Data Centres (RNODCs) and 3 World Data Centres (WDCs) for oceanographic data /information management and exchange. Regional data/information network in the Indian Ocean is being managed by 9 NODCs and 2 RNODCs and oceanographic...

  15. Asia Pacific Mangrove Information Network (APMIN): A conceptual model

    Digital Repository Service at National Institute of Oceanography (India)

    Chavan, V.S.; Jagtap, T.G.; Untawale, A.G.

    Asia Pacific Mangrove Information Network (APMIN), its structure and scope, is discussed in this paper. Establishment of National Mangrove Information Centers (NMIC) in 20 Asia-Pacific countries, would contribute towards development of databases...

  16. DAGIK: A data-showcase system of geoscience in KML

    Science.gov (United States)

    Yoshida, D.; Saito, A.

    2009-12-01

    We are developing a system to display geoscience data of various databases on virtual globe. This system is designed to be a showcase of databases. Users can browse various types of data of databases on this system. When they find data of interest, they can follow the network link to the WWW-based database and study it in detail. This system is served as a portal to geoscience databases. We call this system DAGIK (DAta-showcase system of Geoscience In Kml). It uses Google Earth as a browser. The reason to use Google Earth is that it has 1) four-dimensional data presentation capability, 2) scalability in time and space, 3) network capability. Virtual globe can show the data in intuitive way. It is a very powerful tool to show the characteristics of data for those who are not familiar with the data. DAGIK started in 2007 for geospace data, and was expanded to cover the geoscience in 2009. The sequence of usage of DAGIK is as follows: 1) user downloads the start up file, dagik.kml, from the DAGIK server (http://www-step.kugi.kyoto-u.ac.jp/dagik/) with a WWW browser, 2) it can be opened with Google Earth, 3) user select year, month and day, 4) for the selected date, the data list file will be downloaded from the DAGIK server, 5) user can select the data type from the data list, 6) and the KML/KMZ plot files will be downloaded from the DAGIK server or the other KML/KMZ server to display on Google Earth. There are several databases that provide their data plots in KML/KMZ format for DAGIK. DAGIK, a data-showcase system of geoscience, can bridge the gap between databases and novice users of the geoscience data.

  17. Vulnerability of complex networks under intentional attack with incomplete information

    International Nuclear Information System (INIS)

    Wu, J; Deng, H Z; Tan, Y J; Zhu, D Z

    2007-01-01

    We study the vulnerability of complex networks under intentional attack with incomplete information, which means that one can only preferentially attack the most important nodes among a local region of a network. The known random failure and the intentional attack are two extreme cases of our study. Using the generating function method, we derive the exact value of the critical removal fraction f c of nodes for the disintegration of networks and the size of the giant component. To validate our model and method, we perform simulations of intentional attack with incomplete information in scale-free networks. We show that the attack information has an important effect on the vulnerability of scale-free networks. We also demonstrate that hiding a fraction of the nodes information is a cost-efficient strategy for enhancing the robustness of complex networks

  18. Diversifying Geoscience by Preparing Faculty as Workshop Leaders to Promote Inclusive Teaching and Inclusive Geoscience Departments

    Science.gov (United States)

    Macdonald, H.; Manduca, C. A.; Beane, R. J.; Doser, D. I.; Ebanks, S. C.; Hodder, J.; McDaris, J. R.; Ormand, C. J.

    2017-12-01

    then incorporate aspects of the session in workshops they lead for their regional faculty networks. Both projects prepare faculty to lead workshops on inclusive practices and programs as a strategy to diversify the geosciences by pervasively changing the way that faculty and departments support students.

  19. Information Flow Between Resting-State Networks.

    Science.gov (United States)

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

    2015-11-01

    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. The spatial localization of the k=2 component, within RSNs, allows the characterization of IF differences between AD and controls.

  20. Exploring a social network for sharing information about pain.

    Science.gov (United States)

    Alvarez, Ana Graziela; Dal Sasso, Grace T Marcon

    2012-01-01

    The purpose of study was to evaluate the opinion of users about the experience of sharing information about pain in a social network. An electronic survey study was conducted from September to November/2009. Nine participants assessed the social network through of an electronic questionnaire. positive aspects (easy access, organized information, interactivity, encourages the sharing of information, learning opportunity). The sharing of information contributes to the development of a collective intelligence based on exchanging experiences and knowledge sharing.

  1. FID GEO: Digital transformation and Open Access in Germany's geoscience research community

    Science.gov (United States)

    Hübner, Andreas; Martinson, Guntars; Bertelmann, Roland; Elger, Kirsten; Pfurr, Norbert; Schüler, Mechthild

    2017-04-01

    The 'Specialized Information Service for Solid Earth Sciences' (FID GEO) supports Germany's geoscience research community in 1) electronic publishing of i) institutional and "grey" literature not released in publishing houses and ii) pre- and postprints of research articles 2) digitising geoscience literature and maps and 3) addressing the publication of research data associated with peer-reviewed research articles (data supplements). Established in 2016, FID GEO is funded by the German Research Foundation (DFG) and is run by the Göttingen State and University Library (SUB Göttingen) and the GFZ German Research Centre for Geosciences. Here we present recent success stories and lessons learned. With regard to digitisation, FID GEO received a request from one of the most prestigious geoscience societies in Germany to digitise back-issues of its journals that are so far only available in print. Aims are to ensure long-term availability in Open Access and high visibility by DOI-referenced electronic publication via the FID GEO repository. While digitisation will be financed by FID GEO funds, major challenges are to identify the copyright holders (journals date back to 1924) and negotiate digitisation and publication rights. With respect to research data publishing, we present how we target scientists to integrate the publication of research data into their workflows and institutions to promote the topic. For the latter, we successfully take advantage of existing networks as entry points to the community, like the research network Geo.X in the Berlin-Brandenburg area, individual learned societies as well as their overarching structures DV Geo and GeoUnion. FID GEO promotes the Statement of Commitment of the Coalition for Publishing Data in the Earth and Space Sciences (COPDESS) as well as the FAIR Data Principles in presentations to the above-mentioned groups and institutions. Our aim is to eventually transfer the positive feedback from the geoscience community into

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

    Science.gov (United States)

    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.

  3. Hodge decomposition of information flow on small-world networks

    Directory of Open Access Journals (Sweden)

    Taichi Haruna

    2016-09-01

    Full Text Available 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.

  4. Information and Networks in Asia and Sub-Saharan Africa ...

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

    Information and Networks in Asia and Sub-Saharan Africa: Strengthening Research Capacity ... credible, high-quality evidence on the influence of digital initiatives in the areas of ... use of digital information networks and economic growth, democratic reform, and increased educational opportunities in developing countries.

  5. Blending Formal and Informal Learning Networks for Online Learning

    Science.gov (United States)

    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…

  6. Pain: a distributed brain information network?

    Directory of Open Access Journals (Sweden)

    Hiroaki Mano

    2015-01-01

    Full Text Available Understanding how pain is processed in the brain has been an enduring puzzle, because there doesn't appear to be a single "pain cortex" that directly codes the subjective perception of pain. An emerging concept is that, instead, pain might emerge from the coordinated activity of an integrated brain network. In support of this view, Woo and colleagues present evidence that distinct brain networks support the subjective changes in pain that result from nociceptive input and self-directed cognitive modulation. This evidence for the sensitivity of distinct neural subsystems to different aspects of pain opens up the way to more formal computational network theories of pain.

  7. Accessible Geoscience - Digital Fieldwork

    Science.gov (United States)

    Meara, Rhian

    2017-04-01

    Accessible Geoscience is a developing field of pedagogic research aimed at widening participation in Geography, Earth and Environmental Science (GEES) subjects. These subjects are often less commonly associated with disabilities, ethnic minorities, low income socio-economic groups and females. While advancements and improvements have been made in the inclusivity of these subject areas in recent years, access and participation of disabled students remains low. While universities are legally obligated to provide reasonable adjustments to ensure accessibility, the assumed incompatibility of GEES subjects and disability often deters students from applying to study these courses at a university level. Instead of making reasonable adjustments if and when they are needed, universities should be aiming to develop teaching materials, spaces and opportunities which are accessible to all, which in turn will allow all groups to participate in the GEES subjects. With this in mind, the Swansea Geography Department wish to enhance the accessibility of our undergraduate degree by developing digital field work opportunities. In the first instance, we intend to digitise three afternoon excursions which are run as part of a 1st year undergraduate module. Each of the field trips will be digitized into English- and Welsh-medium formats. In addition, each field trip will be digitized into British Sign Language (BSL) to allow for accessibility for D/deaf and hard of hearing students. Subtitles will also be made available in each version. While the main focus of this work is to provide accessible fieldwork opportunities for students with disabilities, this work also has additional benefits. Students within the Geography Department will be able to revisit the field trips, to revise and complete associated coursework. The use of digitized field work should not replace opportunities for real field work, but its use by the full cohort of students will begin to "normalize" accessible field

  8. On the merits of conversion electron Mossbauer spectroscopy in geosciences

    DEFF Research Database (Denmark)

    Gunnlaugsson, H.P.; Bertelsen, P.; Budtz-Jørgensen, Carl

    2006-01-01

    Described are some applications of conversion electron Mossbauer spectroscopy (CEMS) in geosciences. It is shown how easily this technique can be applied in existing Mossbauer laboratories to investigate natural samples. Some examples demonstrate the kind of information CEMS can give on the weath......Described are some applications of conversion electron Mossbauer spectroscopy (CEMS) in geosciences. It is shown how easily this technique can be applied in existing Mossbauer laboratories to investigate natural samples. Some examples demonstrate the kind of information CEMS can give...

  9. Information Operations Innovation Network (IOIN) Demonstration

    National Research Council Canada - National Science Library

    Choo, Vic; Scheiderich, Louis

    2006-01-01

    ...; and Supplement existing/future network defense tools with additional capabilities. The actual software packages used for this effort include VIAasst, VisAlert, Flexviewer, Event Correlation for Cyber Attack Recognition (ECCARS...

  10. Information Dynamics as Foundation for Network Management

    Science.gov (United States)

    2014-12-04

    developed to adapt to channel dynamics in a mobile network environment. We devise a low- complexity online scheduling algorithm integrated with the...has been accepted for the Journal on Network and Systems Management in 2014. - RINC programmable platform for Infrastructure -as-a-Service public... backend servers. Rather than implementing load balancing in dedicated appliances, commodity SDN switches can perform this function. We design

  11. Integration of genomic information with biological networks using Cytoscape.

    Science.gov (United States)

    Bauer-Mehren, Anna

    2013-01-01

    Cytoscape is an open-source software for visualizing, analyzing, and modeling biological networks. This chapter explains how to use Cytoscape to analyze the functional effect of sequence variations in the context of biological networks such as protein-protein interaction networks and signaling pathways. The chapter is divided into five parts: (1) obtaining information about the functional effect of sequence variation in a Cytoscape readable format, (2) loading and displaying different types of biological networks in Cytoscape, (3) integrating the genomic information (SNPs and mutations) with the biological networks, and (4) analyzing the effect of the genomic perturbation onto the network structure using Cytoscape built-in functions. Finally, we briefly outline how the integrated data can help in building mathematical network models for analyzing the effect of the sequence variation onto the dynamics of the biological system. Each part is illustrated by step-by-step instructions on an example use case and visualized by many screenshots and figures.

  12. Why did you decide to become a Geoscience Major: A Critical Incident Study for the Development of Recruiting Programs for Inspiring Interests in the Geosciences Amongst Pre-College Students

    Science.gov (United States)

    Carrick, T. L.; Miller, K. C.; Levine, R.; Martinez-Sussmann, C.; Velasco, A. A.

    2011-12-01

    Anecdotally, it is often stated that the majority of students that enter the geosciences usually do so sometime after their initial entrance into college. With the objective of providing concrete and useful information for individuals developing programs for inspiring interest in the Geosciences amongst pre-college students and trying to increase the number of freshman Geoscience majors, we conducted a critical incident study. Twenty-two students, who were undergraduate or graduate Geoscience majors, were asked, "Why did you decide to major in the Geosciences?" in a series of interviews. Their responses were then used to identify over 100 critical incidents, each of which described a specific behavior that was causally responsible for a student's choice to major in Geoscience. Using these critical incidents, we developed a preliminary taxonomy that is comprised of three major categories: Informal Exposure to the Geosciences (e.g., outdoor experiences, family involvement), Formal Exposure to the Geosciences (e.g., academic experiences, program participation) and a Combined Informal and Formal Exposure (e.g., media exposure). Within these three main categories we identified thirteen subcategories. These categories and subcategories, describe, classify, and provide concrete examples of strategies that were responsible for geosciences career choices. As a whole, the taxonomy is valuable as a new, data-based guide for designing geosciences recruitment programs for the pre-college student population.

  13. Factors Enabling Information Propagation in a Social Network Site

    DEFF Research Database (Denmark)

    Magnani, Matteo; Montesi, Danilo; Rossi, Luca

    2013-01-01

    A relevant feature of Social Network Sites is their ability to propagate units of information and create large distributed conversations. This phenomenon is particularly relevant because of the speed of information propagation, which is known to be much faster than within traditional media......, and because of the very large amount of people that can potentially be exposed to information items. While many general formal models of network propagation have been developed in different research fields, in this chapter we present the result of an empirical study on a Large Social Database (LSD) aimed...... at measuring specific socio-technical factors enabling information spreading in Social Network Sites....

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

    Science.gov (United States)

    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.

  15. GIS in geoscience education- geomorphometric study

    Digital Repository Service at National Institute of Oceanography (India)

    Mahender, K.; Yogita, K.; Kunte, P.D.

    The educational institutions around the world have realised the possibility of using GIS in geosciences teaching along with in many other subjects. GIS is been used in a large number of geoscience applications viz. mapping, mineral and petroleum...

  16. Examining sexism in the geosciences

    Science.gov (United States)

    Simarski, Lynn Teo

    Do women geoscientists face worse obstacles because of their gender than women in other sciences? A recent survey by the Committee on Professionals in Science and Technology showed that women with geoscience bachelor's degrees start off at only 68% of their male colleagues' salaries, much lower than women in biology (92%), engineering (102%), chemistry (103%), and physics (111%).Women still lag behind men in geoscience degrees as well. In 1990, women received about one-third of geoscience bachelor's degrees, one-quarter of masters, and about one-fifth of Ph.D.'s, reports the American Geological Institute. In the sciences overall, women received about half of bachelor's degrees, 42% of masters, and about a third of Ph.D.'s in 1989, according to the National Research Council.

  17. Social-Driven Information Dissemination for Mobile Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Basim MAHMOOD

    2015-06-01

    Full Text Available As we move into the so-called Internet of Things (IoT, the boundary between sensor networks and social networks is likely to disappear. Moreover, previous works argue that mobility in sensor networks may become a consequence of human movement making the understanding of human mobility crucial to the design of sensor networks. When people carry sensors, they become able to use concepts from social networks in the design of sensor network infrastructures. However, to this date, the utilization of social networks in designing protocols for wireless sensor networks has not received much attention. In this paper, we focus on the concept of information dissemination in a framework where sensors are carried by people who, like most of us, are part of a social network. We propose two social-based forwarding approaches for what has been called Social Network of Sensors (SNoS. To this end, we exploit two important characteristics of ties in social networks, namely strong ties and weak ties. The former is used to achieve rapid dissemination to nearby sensors while the latter aims at dissemination to faraway sensors. We compared our results against two well-known approaches in the literature: Epidemic and PRoPHET protocols. We evaluate our approaches according to four criteria: information-dissemination distance, information-dissemination coverage area, the number of messages exchanged, and information delivery time. We believe this is the first work that investigates the issues of information-dissemination distance and information-dissemination coverage area using an approach inspired on social network concepts.

  18. Muons tomography applied to geosciences and volcanology

    Energy Technology Data Exchange (ETDEWEB)

    Marteau, J., E-mail: marteau@ipnl.in2p3.fr [Institut de Physique Nucleaire de Lyon (UMR CNRS-IN2P3 5822), Universite Lyon 1, Lyon (France); Gibert, D.; Lesparre, N. [Institut de Physique du Globe de Paris (UMR CNRS 7154), Sorbonne Paris Cite, Paris (France); Nicollin, F. [Geosciences Rennes (CNRS UMR 6118), Universite Rennes 1, Bat. 15 Campus de Beaulieu, 35042 Rennes cedex (France); Noli, P. [Universita degli studi di Napoli Federico II and INFN sez. Napoli (Italy); Giacoppo, F. [Laboratory for High Energy Physics, University of Bern, SidlerStrasse 5, CH-3012 Bern (Switzerland)

    2012-12-11

    Imaging the inner part of large geological targets is an important issue in geosciences with various applications. Different approaches already exist (e.g. gravimetry, electrical tomography) that give access to a wide range of information but with identified limitations or drawbacks (e.g. intrinsic ambiguity of the inverse problem, time consuming deployment of sensors over large distances). Here we present an alternative and complementary tomography method based on the measurement of the cosmic muons flux attenuation through the geological structures. We detail the basics of this muon tomography with a special emphasis on the photo-active detectors.

  19. Information Systems at Enterprise. Design of Secure Network of Enterprise

    Science.gov (United States)

    Saigushev, N. Y.; Mikhailova, U. V.; Vedeneeva, O. A.; Tsaran, A. A.

    2018-05-01

    No enterprise and company can do without designing its own corporate network in today's information society. It accelerates and facilitates the work of employees at any level, but contains a big threat to confidential information of the company. In addition to the data theft attackers, there are plenty of information threats posed by modern malware effects. In this regard, the computational security of corporate networks is an important component of modern information technologies of computer security for any enterprise. This article says about the design of the protected corporate network of the enterprise that provides the computers on the network access to the Internet, as well interoperability with the branch. The access speed to the Internet at a high level is provided through the use of high-speed access channels and load balancing between devices. The security of the designed network is performed through the use of VLAN technology as well as access lists and AAA server.

  20. Smooth Information Flow in Temperature Climate Network Reflects Mass Transport

    Czech Academy of Sciences Publication Activity Database

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

    2017-01-01

    Roč. 27, č. 3 (2017), č. článku 035811. ISSN 1054-1500 R&D Projects: GA ČR GCP103/11/J068; GA MŠk LH14001 Institutional support: RVO:67985807 Keywords : directed network * causal network * Granger causality * climate network * information flow * temperature network Subject RIV: IN - Informatics, Computer Science OBOR OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Impact factor: 2.283, year: 2016

  1. On library information resources construction under network environment

    International Nuclear Information System (INIS)

    Guo Huifang; Wang Jingjing

    2014-01-01

    Information resources construction is the primary task and critical measures for libraries. In the 2lst century, the knowledge economy era, with the continuous development of computer network technology, information resources have become an important part of libraries which have been a significant indicator of its capacity construction. The development of socialized Information, digitalization and internalization has put forward new requirements for library information resources construction. This paper describes the impact of network environment on construction of library information resources and proposes the measures of library information resources. (authors)

  2. Report: Information Meeting / Awareness of Actors on the Chemical Information Exchange Network (CIEN)

    International Nuclear Information System (INIS)

    Senghor, Cheikh

    2015-01-01

    As part of the implementation of the Stockholm Convention, Senegal has established a Chemical Information Exchange Network. The overall objective of this meeting was to identify the various actors involved in the management of chemicals information and to study the modalities for the implementation of the chemical information exchange network in Senegal.

  3. Sustaining Public Communication of Geoscience in the Mass Media Market

    Science.gov (United States)

    Keane, Christopher

    2017-04-01

    Most public communication about geoscience is either performed as a derivative of a research program or as part of one-off funded outreach activities. Few efforts are structured to both educate the public about geoscience while also attempting to establish a sustainable funding model. EARTH Magazine, a non-profit publications produced by the American Geosciences Institute, is a monthly geoscience news and information magazine geared towards the public. Originally a profession-oriented publication, titled Geotimes, the publication shifted towards public engagement in the 1990s, completing that focus in 1998. Though part of a non-profit institute, EARTH is not a recipient of grants or contributions to offset its costs and thus must strive to "break even" to sustain its operations and further its mission. How "break even" is measured in a mission-based enterprise incorporates a number of factors, including financial, but also community impact and offsets to other investments. A number of strategies and their successes and failures, both editorially in its focus on audience in scope, tone, and design, and from an operational perspective in the rapidly changing world of magazines, will be outlined. EARTH is now focused on exploring alternative distribution channels, new business models, and disaggregation as means towards broader exposure of geoscience to the widest audience possible.

  4. Identifying Important Career Indicators of Undergraduate Geoscience Students Upon Completion of Their Degree

    Science.gov (United States)

    Wilson, C. E.; Keane, C. M.; Houlton, H. R.

    2012-12-01

    The American Geosciences Institute (AGI) decided to create the National Geoscience Student Exit Survey in order to identify the initial pathways into the workforce for these graduating students, as well as assess their preparedness for entering the workforce upon graduation. The creation of this survey stemmed from a combination of experiences with the AGI/AGU Survey of Doctorates and discussions at the following Science Education Research Center (SERC) workshops: "Developing Pathways to Strong Programs for the Future", "Strengthening Your Geoscience Program", and "Assessing Geoscience Programs". These events identified distinct gaps in understanding the experiences and perspectives of geoscience students during one of their most profound professional transitions. Therefore, the idea for the survey arose as a way to evaluate how the discipline is preparing and educating students, as well as identifying the students' desired career paths. The discussions at the workshops solidified the need for this survey and created the initial framework for the first pilot of the survey. The purpose of this assessment tool is to evaluate student preparedness for entering the geosciences workforce; identify student decision points for entering geosciences fields and remaining in the geosciences workforce; identify geosciences fields that students pursue in undergraduate and graduate school; collect information on students' expected career trajectories and geosciences professions; identify geosciences career sectors that are hiring new graduates; collect information about salary projections; overall effectiveness of geosciences departments regionally and nationally; demonstrate the value of geosciences degrees to future students, the institutions, and employers; and establish a benchmark to perform longitudinal studies of geosciences graduates to understand their career pathways and impacts of their educational experiences on these decisions. AGI's Student Exit Survey went through

  5. Qualia could arise from information processing in local cortical networks.

    Science.gov (United States)

    Orpwood, Roger

    2013-01-01

    Re-entrant feedback, either within sensory cortex or arising from prefrontal areas, has been strongly linked to the emergence of consciousness, both in theoretical and experimental work. This idea, together with evidence for local micro-consciousness, suggests the generation of qualia could in some way result from local network activity under re-entrant activation. This paper explores the possibility by examining the processing of information by local cortical networks. It highlights the difference between the information structure (how the information is physically embodied), and the information message (what the information is about). It focuses on the network's ability to recognize information structures amongst its inputs under conditions of extensive local feedback, and to then assign information messages to those structures. It is shown that if the re-entrant feedback enables the network to achieve an attractor state, then the message assigned in any given pass of information through the network is a representation of the message assigned in the previous pass-through of information. Based on this ability the paper argues that as information is repeatedly cycled through the network, the information message that is assigned evolves from a recognition of what the input structure is, to what it is like, to how it appears, to how it seems. It could enable individual networks to be the site of qualia generation. The paper goes on to show networks in cortical layers 2/3 and 5a have the connectivity required for the behavior proposed, and reviews some evidence for a link between such local cortical cyclic activity and conscious percepts. It concludes with some predictions based on the theory discussed.

  6. Finding quasi-optimal network topologies for information transmission in active networks.

    Science.gov (United States)

    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.

  7. Finding quasi-optimal network topologies for information transmission in active networks.

    Directory of Open Access Journals (Sweden)

    Murilo S Baptista

    Full Text Available 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.

  8. Tracking the Health of the Geoscience Workforce

    Science.gov (United States)

    Gonzales, L. M.; Keane, C. M.; Martinez, C. M.

    2008-12-01

    Increased demands for resources and environmental activities, relative declines in college students entering technical fields, and expectations of growth commensurate with society as a whole challenge the competitiveness of the U.S. geoscience workforce. Because of prior business cycles, more than 50% of the workforce needed in natural resource industries in 10 years is currently not in the workforce. This issue is even more acute in government at all levels and in academic institutions. Here, we present a snapshot of the current status of the geoscience profession that spans geoscientists in training to geoscience professionals in government, industry, and academia to understand the disparity between the supply of and demand for geoscientists. Since 1996, only 1% of high school SAT test takers plan to major in geosciences at college. Although the total number of geoscience degrees granted at community colleges have increased by 9% since 1996 , the number of geoscience undergraduate degrees has decreased by 7%. The number of geoscience master's and doctoral degrees have increased 4% and 14% respectively in the same time period. However, by 2005, 68 geoscience departments were consolidated or closed in U.S. universities. Students who graduate with geoscience degrees command competitive salaries. Recent bachelors geoscience graduates earned an average salary of 31,366, whereas recent master's recipients earned an average of 81,300. New geosciences doctorates commanded an average salary of 72,600. Also, fFederal funding for geoscience research has increase steadily from 485 million in 1970 to $3.5 billion in 2005. Economic indicators suggest continued growth in geoscience commodity output and in market capitalization of geoscience industries. Additionally, the Bureau of Labor Statistics projects a 19% increase in the number of geoscience jobs from 2006 to 2016. Despite the increased demand for geoscientists and increase in federal funding of geoscience research

  9. Networks, Netwar, and Information-Age Terrorism

    Science.gov (United States)

    1999-01-01

    intermediate nodes. • The star, hub, or wheel network, as in a franchise or a cartel structure where a set of actors is tied to a central node or actor...Aviv and Jerusalem. On March 21, a Hamas satchel bomb exploded at a Tel Aviv cafe , killing three persons and injuring 48; on July 30, two Hamas

  10. Information and Networks Working Paper: Aiding surveillance ...

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

    2014-12-01

    Dec 1, 2014 ... Information technology transfer is increasingly a key component of development and humanitarian aid initiatives. With social protection programs now incorporating digitized management information systems and electronic transfers, registration and electoral systems deploying biometric technologies, and ...

  11. Machine learning in geosciences and remote sensing

    Directory of Open Access Journals (Sweden)

    David J. Lary

    2016-01-01

    Full Text Available Learning incorporates a broad range of complex procedures. Machine learning (ML is a subdivision of artificial intelligence based on the biological learning process. The ML approach deals with the design of algorithms to learn from machine readable data. ML covers main domains such as data mining, difficult-to-program applications, and software applications. It is a collection of a variety of algorithms (e.g. neural networks, support vector machines, self-organizing map, decision trees, random forests, case-based reasoning, genetic programming, etc. that can provide multivariate, nonlinear, nonparametric regression or classification. The modeling capabilities of the ML-based methods have resulted in their extensive applications in science and engineering. Herein, the role of ML as an effective approach for solving problems in geosciences and remote sensing will be highlighted. The unique features of some of the ML techniques will be outlined with a specific attention to genetic programming paradigm. Furthermore, nonparametric regression and classification illustrative examples are presented to demonstrate the efficiency of ML for tackling the geosciences and remote sensing problems.

  12. Mining Heterogeneous Information Networks by Exploring the Power of Links

    Science.gov (United States)

    Han, Jiawei

    Knowledge is power but for interrelated data, knowledge is often hidden in massive links in heterogeneous information networks. We explore the power of links at mining heterogeneous information networks with several interesting tasks, including link-based object distinction, veracity analysis, multidimensional online analytical processing of heterogeneous information networks, and rank-based clustering. Some recent results of our research that explore the crucial information hidden in links will be introduced, including (1) Distinct for object distinction analysis, (2) TruthFinder for veracity analysis, (3) Infonet-OLAP for online analytical processing of information networks, and (4) RankClus for integrated ranking-based clustering. We also discuss some of our on-going studies in this direction.

  13. Partial Information Community Detection in a Multilayer Network

    Science.gov (United States)

    2016-06-01

    26 3 Methodology 33 3.1 Topology of the Noordin Top Terrorist Network . . . . . . . . . . . . 33 3.2 Partial Information... Topology of Synthetic Network. . . . . . . . . . . . . . . . . . . 69 4.4 Four Discovery Algorithms Discovering Red Vertices in a Synthetic Network 72 4.5...without their expertise and analysis. I have been lucky enough to have learned from the wonderful faculty of Applied Mathe - matics Department at the Naval

  14. Social Circles Detection from Ego Network and Profile Information

    Science.gov (United States)

    2014-12-19

    way of organizing contacts in personal networks . They are therefore currently implemented in the major social net- working systems, such as Facebook ...0704-0188 3. DATES COVERED (From - To) - UU UU UU UU Approved for public release; distribution is unlimited. Social Circles Detection from Ego Network ...structural network information but also the contents of social interactions, with the aim to detect copying communities. The views, opinions and/or findings

  15. The Value of Information in Distributed Decision Networks

    Science.gov (United States)

    2016-03-04

    formulation, and then we describe the various results at- tained. 1 Mathematical description of Distributed Decision Network un- der Information...Constraints We now define a mathematical framework for networks. Let G = (V,E) be an undirected random network (graph) drawn from a known distribution pG, 1...to any linear, combinatorial problem like shortest path optimization, and, further, so long as the original combinatorial problem can be solved in

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

    Science.gov (United States)

    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.

  17. Incorporating profile information in community detection for online social networks

    Science.gov (United States)

    Fan, W.; Yeung, K. H.

    2014-07-01

    Community structure is an important feature in the study of complex networks. It is because nodes of the same community may have similar properties. In this paper we extend two popular community detection methods to partition online social networks. In our extended methods, the profile information of users is used for partitioning. We apply the extended methods in several sample networks of Facebook. Compared with the original methods, the community structures we obtain have higher modularity. Our results indicate that users' profile information is consistent with the community structure of their friendship network to some extent. To the best of our knowledge, this paper is the first to discuss how profile information can be used to improve community detection in online social networks.

  18. Improving Undergraduate STEM Education: Pathways into Geoscience (IUSE: GEOPATHS) - A National Science Foundation Initiative

    Science.gov (United States)

    Jones, B.; Patino, L. C.

    2016-12-01

    Preparation of the future professional geoscience workforce includes increasing numbers as well as providing adequate education, exposure and training for undergraduates once they enter geoscience pathways. It is important to consider potential career trajectories for geoscience students, as these inform the types of education and skill-learning required. Recent reports have highlighted that critical thinking and problem-solving skills, spatial and temporal abilities, strong quantitative skills, and the ability to work in teams are among the priorities for many geoscience work environments. The increasing focus of geoscience work on societal issues (e.g., climate change impacts) opens the door to engaging a diverse population of students. In light of this, one challenge is to find effective strategies for "opening the world of possibilities" in the geosciences for these students and supporting them at the critical junctures where they might choose an alternative pathway to geosciences or otherwise leave altogether. To address these and related matters, The National Science Foundation's (NSF) Directorate for Geosciences (GEO) has supported two rounds of the IUSE: GEOPATHS Program, to create and support innovative and inclusive projects to build the future geoscience workforce. This program is one component in NSF's Improving Undergraduate STEM Education (IUSE) initiative, which is a comprehensive, Foundation-wide effort to accelerate the quality and effectiveness of the education of undergraduates in all of the STEM fields. The two tracks of IUSE: GEOPATHS (EXTRA and IMPACT) seek to broaden and strengthen connections and activities that will engage and retain undergraduate students in geoscience education and career pathways, and help prepare them for a variety of careers. The long-term goal of this program is to dramatically increase the number and diversity of students earning undergraduate degrees or enrolling in graduate programs in geoscience fields, as well as

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

    Science.gov (United States)

    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.

  20. Enabling Controlling Complex Networks with Local Topological Information.

    Science.gov (United States)

    Li, Guoqi; Deng, Lei; Xiao, Gaoxi; Tang, Pei; Wen, Changyun; Hu, Wuhua; Pei, Jing; Shi, Luping; Stanley, H Eugene

    2018-03-15

    Complex networks characterize the nature of internal/external interactions in real-world systems including social, economic, biological, ecological, and technological networks. Two issues keep as obstacles to fulfilling control of large-scale networks: structural controllability which describes the ability to guide a dynamical system from any initial state to any desired final state in finite time, with a suitable choice of inputs; and optimal control, which is a typical control approach to minimize the cost for driving the network to a predefined state with a given number of control inputs. For large complex networks without global information of network topology, both problems remain essentially open. Here we combine graph theory and control theory for tackling the two problems in one go, using only local network topology information. For the structural controllability problem, a distributed local-game matching method is proposed, where every node plays a simple Bayesian game with local information and local interactions with adjacent nodes, ensuring a suboptimal solution at a linear complexity. Starring from any structural controllability solution, a minimizing longest control path method can efficiently reach a good solution for the optimal control in large networks. Our results provide solutions for distributed complex network control and demonstrate a way to link the structural controllability and optimal control together.

  1. Information Propagation in Complex Networks : Structures and Dynamics

    NARCIS (Netherlands)

    Märtens, M.

    2018-01-01

    This thesis is a contribution to a deeper understanding of how information propagates and what this process entails. At its very core is the concept of the network: a collection of nodes and links, which describes the structure of the systems under investigation. The network is a mathematical model

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

    Science.gov (United States)

    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…

  3. Information Source Selection and Management Framework in Wireless Sensor Network

    DEFF Research Database (Denmark)

    Tobgay, Sonam; Olsen, Rasmus Løvenstein; Prasad, Ramjee

    2013-01-01

    information source selection and management framework and presents an algorithm which selects the information source based on the information mismatch probability [1]. The sampling rate for every access is decided as per the maximum allowable power consumption limit. Index Terms-wireless sensor network...

  4. Adaptive Information Access on Multiple Applications Support Wireless Sensor Networks

    DEFF Research Database (Denmark)

    Tobgay, Sonam; Olsen, Rasmus Løvenstein; Prasad, Ramjee

    2014-01-01

    information is challenged by dynamic nature of information elements. These challenges are more prominent in case of wireless sensor network (WSN) applications, as the information that the sensor node collects are mostly dynamic in nature (say, temperature). Therefore, it is likely that there can be a mismatch...

  5. Grower Communication Networks: Information Sources for Organic Farmers

    Science.gov (United States)

    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…

  6. Pairwise Network Information and Nonlinear Correlations

    Czech Academy of Sciences Publication Activity Database

    Martin, E.A.; Hlinka, Jaroslav; Davidsen, J.

    2016-01-01

    Roč. 94, č. 4 (2016), č. článku 040301. ISSN 2470-0045 R&D Projects: GA ČR GA13-23940S; GA MZd(CZ) NV15-29835A Grant - others:GA MŠk(CZ) LO1611 Institutional support: RVO:67985807 Keywords : mutual information * correlation * information theory * redundancy Subject RIV: BD - Theory of Information Impact factor: 2.366, year: 2016

  7. Architectural Design for the Global Legal Information Network

    Science.gov (United States)

    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.

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

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

    Jean-Claude Dumais

    2012-09-12

    Sep 12, 2012 ... The growth of networked technologies has created new opportunities for advancing human ... The I&N research awardee will ideally explore research questions centred ... such as engineering or computer/information science.

  9. The commercial vehicle information systems and networks program, 2013.

    Science.gov (United States)

    2015-04-01

    The Commercial Vehicle Information Systems and Networks (CVISN) grant program supports the Federal Motor Carrier Safety Administrations (FMCSAs) safety mission by providing grant funds to States to: : Improve safety and productivity of moto...

  10. The Commercial Vehicle Information Systems and Network program, 2012.

    Science.gov (United States)

    2014-03-01

    The Commercial Vehicle Information Systems and : Networks (CVISN) program supports that safety : mission by providing grant funds to States for: : Improving safety and productivity of motor : carriers, commercial motor vehicles : (CMVs), and thei...

  11. A Reference Architecture for Network-Centric Information Systems

    National Research Council Canada - National Science Library

    Renner, Scott; Schaefer, Ronald

    2003-01-01

    This paper presents the "C2 Enterprise Reference Architecture" (C2ERA), which is a new technical concept of operations for building information systems better suited to the Network-Centric Warfare (NCW) environment...

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  14. A multivariate extension of mutual information for growing neural networks.

    Science.gov (United States)

    Ball, Kenneth R; Grant, Christopher; Mundy, William R; Shafer, Timothy J

    2017-11-01

    Recordings of neural network activity in vitro are increasingly being used to assess the development of neural network activity and the effects of drugs, chemicals and disease states on neural network function. The high-content nature of the data derived from such recordings can be used to infer effects of compounds or disease states on a variety of important neural functions, including network synchrony. Historically, synchrony of networks in vitro has been assessed either by determination of correlation coefficients (e.g. Pearson's correlation), by statistics estimated from cross-correlation histograms between pairs of active electrodes, and/or by pairwise mutual information and related measures. The present study examines the application of Normalized Multiinformation (NMI) as a scalar measure of shared information content in a multivariate network that is robust with respect to changes in network size. Theoretical simulations are designed to investigate NMI as a measure of complexity and synchrony in a developing network relative to several alternative approaches. The NMI approach is applied to these simulations and also to data collected during exposure of in vitro neural networks to neuroactive compounds during the first 12 days in vitro, and compared to other common measures, including correlation coefficients and mean firing rates of neurons. NMI is shown to be more sensitive to developmental effects than first order synchronous and nonsynchronous measures of network complexity. Finally, NMI is a scalar measure of global (rather than pairwise) mutual information in a multivariate network, and hence relies on less assumptions for cross-network comparisons than historical approaches. Copyright © 2017 Elsevier Ltd. All rights reserved.

  15. Developing Visualization Techniques for Semantics-based Information Networks

    Science.gov (United States)

    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.

  16. Coordinated Economic Development and the Information Network.

    Science.gov (United States)

    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…

  17. Graphs for information security control in software defined networks

    Science.gov (United States)

    Grusho, Alexander A.; Abaev, Pavel O.; Shorgin, Sergey Ya.; Timonina, Elena E.

    2017-07-01

    Information security control in software defined networks (SDN) is connected with execution of the security policy rules regulating information accesses and protection against distribution of the malicious code and harmful influences. The paper offers a representation of a security policy in the form of hierarchical structure which in case of distribution of resources for the solution of tasks defines graphs of admissible interactions in a networks. These graphs define commutation tables of switches via the SDN controller.

  18. Social network profiles as information sources for adolescents' offline relations

    OpenAIRE

    Courtois, Cédric; All, Anissa

    2012-01-01

    This paper presents the results of a study concerning the use of profile pages by adolescents to get to know more about offline friends and acquaintances. Previous research has indicated that social network sites are used to gather information on new online contacts. However, several studies have demonstrated a substantial overlap between offline and online social networks. Hence, we question whether online profiles are meaningful in gathering information on these 'offline' friends and acquai...

  19. Social network profiles as information sources for adolescents' offline relations

    OpenAIRE

    Courtois, Cédric; All, Anissa; Vanwynsberghe, Hadewijch

    2012-01-01

    This paper presents the results of a study concerning the use of online profile pages by adolescents to know more about “offline” friends and acquaintances. Previous research has indicated that social networking sites (SNSs) are used to gather information on new online contacts. However, several studies have demonstrated a substantial overlap between offline and online social networks. Hence, we question whether online connections are meaningful in gathering information on offline friends and...

  20. Effects of individual popularity on information spreading in complex networks

    Science.gov (United States)

    Gao, Lei; Li, Ruiqi; Shu, Panpan; Wang, Wei; Gao, Hui; Cai, Shimin

    2018-01-01

    In real world, human activities often exhibit preferential selection mechanism based on the popularity of individuals. However, this mechanism is seldom taken into account by previous studies about spreading dynamics on networks. Thus in this work, an information spreading model is proposed by considering the preferential selection based on individuals' current popularity, which is defined as the number of individuals' cumulative contacts with informed neighbors. A mean-field theory is developed to analyze the spreading model. Through systematically studying the information spreading dynamics on uncorrelated configuration networks as well as real-world networks, we find that the popularity preference has great impacts on the information spreading. On the one hand, the information spreading is facilitated, i.e., a larger final prevalence of information and a smaller outbreak threshold, if nodes with low popularity are preferentially selected. In this situation, the effective contacts between informed nodes and susceptible nodes are increased, and nodes almost have uniform probabilities of obtaining the information. On the other hand, if nodes with high popularity are preferentially selected, the final prevalence of information is reduced, the outbreak threshold is increased, and even the information cannot outbreak. In addition, the heterogeneity of the degree distribution and the structure of real-world networks do not qualitatively affect the results. Our research can provide some theoretical supports for the promotion of spreading such as information, health related behaviors, and new products, etc.

  1. Towards Device-Independent Information Processing on General Quantum Networks

    Science.gov (United States)

    Lee, Ciarán M.; Hoban, Matty J.

    2018-01-01

    The violation of certain Bell inequalities allows for device-independent information processing secure against nonsignaling eavesdroppers. However, this only holds for the Bell network, in which two or more agents perform local measurements on a single shared source of entanglement. To overcome the practical constraints that entangled systems can only be transmitted over relatively short distances, large-scale multisource networks have been employed. Do there exist analogs of Bell inequalities for such networks, whose violation is a resource for device independence? In this Letter, the violation of recently derived polynomial Bell inequalities will be shown to allow for device independence on multisource networks, secure against nonsignaling eavesdroppers.

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

    Science.gov (United States)

    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.

  3. Non-linear contributions to interactions in climate networks: sources, relevance, nonstationarity

    Czech Academy of Sciences Publication Activity Database

    Hlinka, Jaroslav; Hartman, David; Vejmelka, Martin; Paluš, Milan

    2012-01-01

    Roč. 14, - (2012), s. 14274 ISSN 1607-7962. [European Geosciences Union General Assembly 2012. 22.04.2012-27.04.2012, Vienna] R&D Projects: GA ČR GCP103/11/J068 Institutional support: RVO:67985807 Keywords : correlation * mutual information * test of nonlinearity * surrogate data * complex networks * climate network Subject RIV: BB - Applied Statistics, Operational Research

  4. Effective network inference through multivariate information transfer estimation

    Science.gov (United States)

    Dahlqvist, Carl-Henrik; Gnabo, Jean-Yves

    2018-06-01

    Network representation has steadily gained in popularity over the past decades. In many disciplines such as finance, genetics, neuroscience or human travel to cite a few, the network may not directly be observable and needs to be inferred from time-series data, leading to the issue of separating direct interactions between two entities forming the network from indirect interactions coming through its remaining part. Drawing on recent contributions proposing strategies to deal with this problem such as the so-called "global silencing" approach of Barzel and Barabasi or "network deconvolution" of Feizi et al. (2013), we propose a novel methodology to infer an effective network structure from multivariate conditional information transfers. Its core principal is to test the information transfer between two nodes through a step-wise approach by conditioning the transfer for each pair on a specific set of relevant nodes as identified by our algorithm from the rest of the network. The methodology is model free and can be applied to high-dimensional networks with both inter-lag and intra-lag relationships. It outperforms state-of-the-art approaches for eliminating the redundancies and more generally retrieving simulated artificial networks in our Monte-Carlo experiments. We apply the method to stock market data at different frequencies (15 min, 1 h, 1 day) to retrieve the network of US largest financial institutions and then document how bank's centrality measurements relate to bank's systemic vulnerability.

  5. Network marketing with bounded rationality and partial information

    Science.gov (United States)

    Kiet, Hoang Anh Tuan; Kim, Beom Jun

    2008-08-01

    Network marketing has been proposed and used as a way to spread the product information to consumers through social connections. We extend the previous game model of the network marketing on a small-world tree network and propose two games: In the first model with the bounded rationality, each consumer makes purchase decision stochastically, while in the second model, consumers get only partial information due to the finite length of social connections. Via extensive numerical simulations, we find that as the rationality is enhanced not only the consumer surplus but also the firm’s profit is increased. The implication of our results is also discussed.

  6. Distribution of Information in Ad Hoc Networks

    National Research Council Canada - National Science Library

    Hassine, Wijden B

    2007-01-01

    .... This work contributes to this study in two specific ways. First, it provides a mathematical model that deals with the best possible site of information source nodes in a graph of infinite density...

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

    Science.gov (United States)

    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

  8. Information theory and the ethylene genetic network.

    Science.gov (United States)

    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

  9. Academic provenance: Investigation of pathways that lead students into the geosciences

    Science.gov (United States)

    Houlton, Heather R.

    Pathways that lead students into the geosciences as a college major have not been fully explored in the current literature, despite the recent studies on the "geoscience pipeline model." Anecdotal evidence suggests low quality geoscience curriculum in K-12 education, lack of visibility of the discipline and lack of knowledge about geoscience careers contribute to low geoscience enrollments at universities. This study investigated the reasons why college students decided to major in the geosciences. Students' interests, experiences, motivations and desired future careers were examined to develop a pathway model. In addition, self-efficacy was used to inform pathway analyses, as it is an influential factor in academic major and career choice. These results and interpretations have strong implications for recruitment and retention in academia and industry. A semi-structured interview protocol was developed, which was informed by John Flanagan's critical incident theory. The responses to this interview were used to identify common experiences that diverse students shared for reasons they became geoscience majors. Researchers used self-efficacy theory by Alfred Bandura to assess students' pathways. Seventeen undergraduate geoscience majors from two U.S. Midwest research universities were sampled for cross-comparison and analysis. Qualitative analyses led to the development of six categorical steps for the geoscience pathway. The six pathway steps are: innate attributes/interest sources, pre-college critical incidents, college critical incidents, current/near future goals, expected career attributes and desired future careers. Although, how students traversed through each step was unique for individuals, similar patterns were identified between different populations in our participants: Natives, Immigrants and Refugees. In addition, critical incidents were found to act on behavior in two different ways: to support and confirm decision-making behavior (supportive critical

  10. Summary outline of DOE geoscience and geoscience - related research

    International Nuclear Information System (INIS)

    1982-02-01

    The Office of Basic Energy Sciences (OBES) supports long-range, basic research in those areas of the geosciences which are relevant to the nation's energy needs. The objective of the Geoscience program is to develop a quantitative and predictive understanding of geological, geophysical and geochemical structures and processes in the solid earth and in solar-terrestrial relationships. This understanding is to assure an effective knowledge base for energy resource recognition, evaluation and utilization in an environmentally acceptable manner. The work is carried out primarily in DOE laboratories and in universities, although some is conducted by other federal agencies and by the National Academy of Sciences. Principal areas of interest include: Geology, Geophysics, and Earth Dynamics; Geochemistry; Energy Resource Recognition, Evaluation and Utilization; Hydrologic and Marine Sciences; and Solar-Terrestrial/Atmospheric Interactions

  11. PROGRESS (PROmoting Geoscience Research Education and SuccesS): a novel mentoring program for retaining undergraduate women in the geosciences

    Science.gov (United States)

    Clinton, Sandra; Adams, Amanda; Barnes, Rebecca; Bloodhart, Brittany; Bowker, Cheryl; Burt, Melissa; Godfrey, Elaine; Henderson, Heather; Hernandez, Paul; Pollack, Ilana; Sample McMeeking, Laura Beth; Sayers, Jennifer; Fischer, Emily

    2017-04-01

    Women still remain underrepresented in many areas of the geosciences, and this underrepresentation often begins early in their university career. In 2015, an interdisciplinary team including expertise in the geosciences (multiple sub-disciplines), psychology, education and STEM persistence began a project focused on understanding whether mentoring can increase the interest, persistence, and achievement of undergraduate women in geoscience fields. The developed program (PROGRESS) focuses on mentoring undergraduate female students, starting in their 1st and 2nd year, from two geographically disparate areas of the United States: the Carolinas in the southeastern part of the United States and the Front Range of the Rocky Mountains in the western part of the United States. The two regions were chosen due to their different student demographics, as well as the differences in the number of working female geoscientists in the region. The mentoring program includes a weekend workshop, access to professional women across geoscience fields, and both in-person and virtual peer networks. Four cohorts of students were recruited and participated in our professional development workshops (88 participants in Fall 2015 and 94 participants in Fall 2016). Components of the workshops included perceptions of the geosciences, women in STEM misconceptions, identifying personal strengths, coping strategies, and skills on building their own personal network. The web-platform (http://geosciencewomen.org/), designed to enable peer-mentoring and provide resources, was launched in the fall of 2015 and is used by both cohorts in conjunction with social media platforms. We will present an overview of the major components of the program, discuss lessons learned during 2015 that were applied to 2016, and share preliminary analyses of surveys and interviews with study participants from the first two years of a five-year longitudinal study that follows PROGRESS participants and a control group.

  12. Geoscience Diversity Experiential Simulations (GeoDES) Workshop Report

    Science.gov (United States)

    Houlton, H. R.; Chen, J.; Brown, B.; Samuels, D.; Brinkworth, C.

    2017-12-01

    The geosciences have to solve increasingly complex problems relating to earth and society, as resources become limited, natural hazards and changes in climate impact larger communities, and as people interacting with Earth become more interconnected. However, the profession has dismally low representation from geoscientists who are from diverse racial, ethnic, or socioeconomic backgrounds, as well as women in leadership roles. This underrepresentation also includes individuals whose gender identity/expression is non-binary or gender-conforming, or those who have physical, cognitive, or emotional disabilities. This lack of diversity ultimately impacts our profession's ability to produce our best science and work with the communities that we strive to protect and serve as stewards of the earth. As part of the NSF GOLD solicitation, we developed a project (Geoscience Diversity Experiential Simulations) to train 30 faculty and administrators to be "champions for diversity" and combat the hostile climates in geoscience departments. We hosted a 3-day workshop in November that used virtual simulations to give participants experience in building the skills to react to situations regarding bias, discrimination, microaggressions, or bullying often cited in geoscience culture. Participants interacted with avatars on screen, who responded to participants' actions and choices, given certain scenarios. The scenarios are framed within a geoscience perspective; we integrated qualitative interview data from informants who experienced inequitable judgement, bias, discrimination, or harassment during their geoscience careers. The simulations gave learners a safe environment to practice and build self-efficacy in how to professionally and productively engage peers in difficult conversations. In addition, we obtained pre-workshop survey data about participants' understanding regarding Diversity, Equity, and Inclusion practices, as well as observation data of participants' responses

  13. Exploiting global information in complex network repair processes

    Institute of Scientific and Technical Information of China (English)

    Tianyu WANG; Jun ZHANG; Sebastian WANDELT

    2017-01-01

    Robustness of complex networks has been studied for decades,with a particular focus on network attack.Research on network repair,on the other hand,has been conducted only very lately,given the even higher complexity and absence of an effective evaluation metric.A recently proposed network repair strategy is self-healing,which aims to repair networks for larger compo nents at a low cost only with local information.In this paper,we discuss the effectiveness and effi ciency of self-healing,which limits network repair to be a multi-objective optimization problem and makes it difficult to measure its optimality.This leads us to a new network repair evaluation metric.Since the time complexity of the computation is very high,we devise a greedy ranking strategy.Evaluations on both real-world and random networks show the effectiveness of our new metric and repair strategy.Our study contributes to optimal network repair algorithms and provides a gold standard for future studies on network repair.

  14. Gender Differences and Informal Networks in a Scandinavian Context

    DEFF Research Database (Denmark)

    Waldstrøm, Christian

    2001-01-01

    The informal networks in organizations have been under increasing scrutiny in the past years, and several aspects of those informal structures have been studied, among those the gender differences. In order to go beyond the intuitive and prejudicial characterization, several researchers have...... performed empirical analyses using networks theory. This has resulted in a number of well-founded propositions about how male and female managers develop and use different informal networks. One key finding, among others, is the proposition that female managers seem to develop dual networks (one with other...... important competencies stated by male and female managers in Danish companies. While the results seem to indicate that there are fewer differences between the genders than might be expected, using a factor analysis indicates that there are some structural differences suggesting that the proposition about...

  15. Expanding the informational chemistries of life: peptide/RNA networks

    Science.gov (United States)

    Taran, Olga; Chen, Chenrui; Omosun, Tolulope O.; Hsieh, Ming-Chien; Rha, Allisandra; Goodwin, Jay T.; Mehta, Anil K.; Grover, Martha A.; Lynn, David G.

    2017-11-01

    The RNA world hypothesis simplifies the complex biopolymer networks underlining the informational and metabolic needs of living systems to a single biopolymer scaffold. This simplification requires abiotic reaction cascades for the construction of RNA, and this chemistry remains the subject of active research. Here, we explore a complementary approach involving the design of dynamic peptide networks capable of amplifying encoded chemical information and setting the stage for mutualistic associations with RNA. Peptide conformational networks are known to be capable of evolution in disease states and of co-opting metal ions, aromatic heterocycles and lipids to extend their emergent behaviours. The coexistence and association of dynamic peptide and RNA networks appear to have driven the emergence of higher-order informational systems in biology that are not available to either scaffold independently, and such mutualistic interdependence poses critical questions regarding the search for life across our Solar System and beyond. This article is part of the themed issue 'Reconceptualizing the origins of life'.

  16. Propagating semantic information in biochemical network models

    Directory of Open Access Journals (Sweden)

    Schulz Marvin

    2012-01-01

    Full Text Available Abstract Background To enable automatic searches, alignments, and model combination, the elements of systems biology models need to be compared and matched across models. Elements can be identified by machine-readable biological annotations, but assigning such annotations and matching non-annotated elements is tedious work and calls for automation. Results A new method called "semantic propagation" allows the comparison of model elements based not only on their own annotations, but also on annotations of surrounding elements in the network. One may either propagate feature vectors, describing the annotations of individual elements, or quantitative similarities between elements from different models. Based on semantic propagation, we align partially annotated models and find annotations for non-annotated model elements. Conclusions Semantic propagation and model alignment are included in the open-source library semanticSBML, available on sourceforge. Online services for model alignment and for annotation prediction can be used at http://www.semanticsbml.org.

  17. National Geothermal Data System: Open Access to Geoscience Data, Maps, and Documents

    Science.gov (United States)

    Caudill, C. M.; Richard, S. M.; Musil, L.; Sonnenschein, A.; Good, J.

    2014-12-01

    The U.S. National Geothermal Data System (NGDS) provides free open access to millions of geoscience data records, publications, maps, and reports via distributed web services to propel geothermal research, development, and production. NGDS is built on the US Geoscience Information Network (USGIN) data integration framework, which is a joint undertaking of the USGS and the Association of American State Geologists (AASG), and is compliant with international standards and protocols. NGDS currently serves geoscience information from 60+ data providers in all 50 states. Free and open source software is used in this federated system where data owners maintain control of their data. This interactive online system makes geoscience data easily discoverable, accessible, and interoperable at no cost to users. The dynamic project site http://geothermaldata.org serves as the information source and gateway to the system, allowing data and applications discovery and availability of the system's data feed. It also provides access to NGDS specifications and the free and open source code base (on GitHub), a map-centric and library style search interface, other software applications utilizing NGDS services, NGDS tutorials (via YouTube and USGIN site), and user-created tools and scripts. The user-friendly map-centric web-based application has been created to support finding, visualizing, mapping, and acquisition of data based on topic, location, time, provider, or key words. Geographic datasets visualized through the map interface also allow users to inspect the details of individual GIS data points (e.g. wells, geologic units, etc.). In addition, the interface provides the information necessary for users to access the GIS data from third party software applications such as GoogleEarth, UDig, and ArcGIS. A redistributable, free and open source software package called GINstack (USGIN software stack) was also created to give data providers a simple way to release data using

  18. 75 FR 57521 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Science.gov (United States)

    2010-09-21

    ... NATIONAL SCIENCE FOUNDATION Networking and Information Technology Research and Development (NITRD...) for Networking and Information Technology Research and Development (NITRD). ACTION: Notice, request.... SUMMARY: With this notice, the National Coordination Office for Networking and Information Technology...

  19. Preparing for a Professional Career in the Geosciences with AEG

    Science.gov (United States)

    Barry, T.; Troost, K. G.

    2012-12-01

    The Association of Environmental and Engineering Geologists offers multiple resources to students and faculty about careers in the geosciences, such as description of what employers are looking for, career options, mentoring, and building your professional network. Our website provides easy access to these and other resources. Most of AEG's 3000 members found their first job through association with another AEG member and more than 75% of our membership is working in applied geoscience jobs. We know that employers are looking for the following qualities: passion for your career and the geosciences, an enthusiastic personality, flexibility, responsibility, ability to communicate well in oral and written modes, and the ability to work well in teams or independently. Employers want candidates with a strong well-rounded geoscience education and the following skills/experience: attendance at field camp, working knowledge of field methodologies, strong oral and written communication skills, basic to advanced computer skills, and the ability to conduct research. In addition, skill with GIS applications, computer modeling, and 40-hour OSHA training are desired. The most successful technique for finding a job is to have and use a network. Students can start building their network by attending regular AEG or other professional society monthly meetings, volunteering with the society, attending annual meetings, going on fieldtrips and participating in other events. Students should research what kind of job they want and build a list of potential preferred employers, then market themselves to people within those companies using networking opportunities. Word-of-mouth sharing of job openings is the most powerful tool for getting hired, and if students have name recognition established within their group of preferred employers, job interviews will occur at a faster rate than otherwise.

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

    Science.gov (United States)

    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…

  1. Mutual information-based LPI optimisation for radar network

    Science.gov (United States)

    Shi, Chenguang; Zhou, Jianjiang; Wang, Fei; Chen, Jun

    2015-07-01

    Radar network can offer significant performance improvement for target detection and information extraction employing spatial diversity. For a fixed number of radars, the achievable mutual information (MI) for estimating the target parameters may extend beyond a predefined threshold with full power transmission. In this paper, an effective low probability of intercept (LPI) optimisation algorithm is presented to improve LPI performance for radar network. Based on radar network system model, we first provide Schleher intercept factor for radar network as an optimisation metric for LPI performance. Then, a novel LPI optimisation algorithm is presented, where for a predefined MI threshold, Schleher intercept factor for radar network is minimised by optimising the transmission power allocation among radars in the network such that the enhanced LPI performance for radar network can be achieved. The genetic algorithm based on nonlinear programming (GA-NP) is employed to solve the resulting nonconvex and nonlinear optimisation problem. Some simulations demonstrate that the proposed algorithm is valuable and effective to improve the LPI performance for radar network.

  2. Supporting Geoscience Students at Two-Year Colleges: Career Preparation and Academic Success

    Science.gov (United States)

    McDaris, J. R.; Kirk, K. B.; Layou, K.; Macdonald, H.; Baer, E. M.; Blodgett, R. H.; Hodder, J.

    2013-12-01

    Two-year colleges play an important role in developing a competent and creative geoscience workforce, teaching science to pre-service K-12 teachers, producing earth-science literate citizens, and providing a foundation for broadening participation in the geosciences. The Supporting and Advancing Geoscience Education in Two-Year Colleges (SAGE 2YC) project has developed web resources for geoscience faculty on the preparation and support of students in two-year colleges (2YCs). Online resources developed from two topical workshops and several national, regional, and local workshops around the country focus on two main categories: Career Preparation and Workforce Development, and Supporting Student Success in Geoscience at Two-year Colleges. The Career Preparation and Workforce Development resources were developed to help faculty make the case that careers in the geosciences provide a range of possibilities for students and to support preparation for the geoscience workforce and for transfer to four-year programs as geoscience majors. Many two-year college students are unaware of geoscience career opportunities and these materials help illuminate possible futures for them. Resources include an overview of what geoscientists do; profiles of possible careers along with the preparation necessary to qualify for them; geoscience employer perspectives about jobs and the knowledge, skills, abilities and attitudes they are looking for in their employees; employment trends in sectors of the economy that employ geoscience professionals; examples of geotechnician workforce programs (e.g. Advanced Technological Education Centers, environmental technology programs, marine technician programs); and career resources available from professional societies. The website also provides information to support student recruitment into the geosciences and facilitate student transfer to geoscience programs at four- year colleges and universities, including sections on advising support before

  3. Applying Real Options Thinking to Information Security in Networked Organizations

    NARCIS (Netherlands)

    Daneva, Maia

    2006-01-01

    An information security strategy of an organization participating in a networked business sets out the plans for designing a variety of actions that ensure confidentiality, availability, and integrity of company’s key information assets. The actions are concerned with authentication and

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

    Science.gov (United States)

    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…

  5. ANADP II Keynote Clifford Lynch - Coalition of Networked Information

    OpenAIRE

    Lynch, Clifford

    2014-01-01

    Aligning National Approaches to Digital Preservation: An Action Assembly Biblioteca de Catalunya (National Library of Catalonia) November 18-20, 2013, Barcelona, Spain Auburn University Council on Library and Information Resources (CLIR) Digital Curation Centre (DCC) Digital Preservation Network (DPN) Joint Information Systems Committee (JISC) University of North Texas Virginia Tech Interuniversity Consortium for Political and Social Research (ICPSR) Innovative Inte...

  6. Information Retrieval on social network: An Adaptive Proof

    Science.gov (United States)

    Elveny, M.; Syah, R.; Elfida, M.; Nasution, M. K. M.

    2018-01-01

    Information Retrieval has become one of the areas for studying to get the trusty information, with which the recall and precision become the measurement form that represents it. Nevertheless, development in certain scientific fields make it possible to improve the performance of the Information Retrieval. In this case, through social networks whereby the role of social actor degrees plays a role. This is an implication of the query in which co-occurrence becomes an indication of social networks. An adaptive approach we use by involving this query in sequence to a stand-alone query, it has proven the relationship among them.

  7. Scalable Networked Information Processing Environment (SNIPE)

    Energy Technology Data Exchange (ETDEWEB)

    Fagg, G.E.; Moore, K. [Univ. of Tennessee, Knoxville, TN (United States). Dept. of Computer Science; Dongarra, J.J. [Univ. of Tennessee, Knoxville, TN (United States). Dept. of Computer Science]|[Oak Ridge National Lab., TN (United States). Computer Science and Mathematics Div.; Geist, A. [Oak Ridge National Lab., TN (United States). Computer Science and Mathematics Div.

    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.

  8. Scholarly information discovery in the networked academic learning environment

    CERN Document Server

    Li, LiLi

    2014-01-01

    In the dynamic and interactive academic learning environment, students are required to have qualified information literacy competencies while critically reviewing print and electronic information. However, many undergraduates encounter difficulties in searching peer-reviewed information resources. Scholarly Information Discovery in the Networked Academic Learning Environment is a practical guide for students determined to improve their academic performance and career development in the digital age. Also written with academic instructors and librarians in mind who need to show their students how to access and search academic information resources and services, the book serves as a reference to promote information literacy instructions. This title consists of four parts, with chapters on the search for online and printed information via current academic information resources and services: part one examines understanding information and information literacy; part two looks at academic information delivery in the...

  9. Brain networks underlying mental imagery of auditory and visual information.

    Science.gov (United States)

    Zvyagintsev, Mikhail; Clemens, Benjamin; Chechko, Natalya; Mathiak, Krystyna A; Sack, Alexander T; Mathiak, Klaus

    2013-05-01

    Mental imagery is a complex cognitive process that resembles the experience of perceiving an object when this object is not physically present to the senses. It has been shown that, depending on the sensory nature of the object, mental imagery also involves correspondent sensory neural mechanisms. However, it remains unclear which areas of the brain subserve supramodal imagery processes that are independent of the object modality, and which brain areas are involved in modality-specific imagery processes. Here, we conducted a functional magnetic resonance imaging study to reveal supramodal and modality-specific networks of mental imagery for auditory and visual information. A common supramodal brain network independent of imagery modality, two separate modality-specific networks for imagery of auditory and visual information, and a common deactivation network were identified. The supramodal network included brain areas related to attention, memory retrieval, motor preparation and semantic processing, as well as areas considered to be part of the default-mode network and multisensory integration areas. The modality-specific networks comprised brain areas involved in processing of respective modality-specific sensory information. Interestingly, we found that imagery of auditory information led to a relative deactivation within the modality-specific areas for visual imagery, and vice versa. In addition, mental imagery of both auditory and visual information widely suppressed the activity of primary sensory and motor areas, for example deactivation network. These findings have important implications for understanding the mechanisms that are involved in generation of mental imagery. © 2013 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

  10. Information transmission in genetic regulatory networks: a review

    International Nuclear Information System (INIS)

    Tkacik, Gasper; Walczak, Aleksandra M

    2011-01-01

    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'. (topical review)

  11. Using Bayesian networks to support decision-focused information retrieval

    Energy Technology Data Exchange (ETDEWEB)

    Lehner, P.; Elsaesser, C.; Seligman, L. [Mitre Corp., McLean, VA (United States)

    1996-12-31

    This paper has described an approach to controlling the process of pulling data/information from distributed data bases in a way that is specific to a persons specific decision making context. Our prototype implementation of this approach uses a knowledge-based planner to generate a plan, an automatically constructed Bayesian network to evaluate the plan, specialized processing of the network to derive key information items that would substantially impact the evaluation of the plan (e.g., determine that replanning is needed), automated construction of Standing Requests for Information (SRIs) which are automated functions that monitor changes and trends in distributed data base that are relevant to the key information items. This emphasis of this paper is on how Bayesian networks are used.

  12. An information search model for online social Networks - MOBIRSE

    Directory of Open Access Journals (Sweden)

    Miguel Angel Niño Zambrano

    2015-09-01

    Full Text Available Online Social Networks (OSNs have been gaining great importance among Internet users in recent years.  These are sites where it is possible to meet people, publish, and share content in a way that is both easy and free of charge. As a result, the volume of information contained in these websites has grown exponentially, and web search has consequently become an important tool for users to easily find information relevant to their social networking objectives. Making use of ontologies and user profiles can make these searches more effective. This article presents a model for Information Retrieval in OSNs (MOBIRSE based on user profile and ontologies which aims to improve the relevance of retrieved information on these websites. The social network Facebook was chosen for a case study and as the instance for the proposed model. The model was validated using measures such as At-k Precision and Kappa statistics, to assess its efficiency.

  13. How Did the Information Flow in the #AlphaGo Hashtag Network? A Social Network Analysis of the Large-Scale Information Network on Twitter.

    Science.gov (United States)

    Kim, Jinyoung

    2017-12-01

    As it becomes common for Internet users to use hashtags when posting and searching information on social media, it is important to understand who builds a hashtag network and how information is circulated within the network. This article focused on unlocking the potential of the #AlphaGo hashtag network by addressing the following questions. First, the current study examined whether traditional opinion leadership (i.e., the influentials hypothesis) or grassroot participation by the public (i.e., the interpersonal hypothesis) drove dissemination of information in the hashtag network. Second, several unique patterns of information distribution by key users were identified. Finally, the association between attributes of key users who exerted great influence on information distribution (i.e., the number of followers and follows) and their central status in the network was tested. To answer the proffered research questions, a social network analysis was conducted using a large-scale hashtag network data set from Twitter (n = 21,870). The results showed that the leading actors in the network were actively receiving information from their followers rather than serving as intermediaries between the original information sources and the public. Moreover, the leading actors played several roles (i.e., conversation starters, influencers, and active engagers) in the network. Furthermore, the number of their follows and followers were significantly associated with their central status in the hashtag network. Based on the results, the current research explained how the information was exchanged in the hashtag network by proposing the reciprocal model of information flow.

  14. Application of QA geoscience investigations

    International Nuclear Information System (INIS)

    Henderson, J.T.

    1980-01-01

    This paper discusses the evolution of a classical hardware QA program (as currently embodied in DOE/ALO Manual Chapter 08XA; NRC 10CFR Part 50, Appendix B; and other similar documents) into the present geoscience quality assurance programs that address eventual NRC licensing, if required. In the context of this paper, QA will be restricted to the tasks associated with nuclear repositories, i.e. site identification, selection, characterization, verification, and utilization

  15. Spatiotemporal Thinking in the Geosciences

    Science.gov (United States)

    Shipley, T. F.; Manduca, C. A.; Ormand, C. J.; Tikoff, B.

    2011-12-01

    Reasoning about spatial relations is a critical skill for geoscientists. Within the geosciences different disciplines may reason about different sorts of relationships. These relationships may span vastly different spatial and temporal scales (from the spatial alignment in atoms in crystals to the changes in the shape of plates). As part of work in a research center on spatial thinking in STEM education, we have been working to classify the spatial skills required in geology, develop tests for each spatial skill, and develop the cognitive science tools to promote the critical spatial reasoning skills. Research in psychology, neurology and linguistics supports a broad classification of spatial skills along two dimensions: one versus many objects (which roughly translates to object- focused and navigation focused skills) and static versus dynamic spatial relations. The talk will focus on the interaction of space and time in spatial cognition in the geosciences. We are working to develop measures of skill in visualizing spatiotemporal changes. A new test developed to measure visualization of brittle deformations will be presented. This is a skill that has not been clearly recognized in the cognitive science research domain and thus illustrates the value of interdisciplinary work that combines geosciences with cognitive sciences. Teaching spatiotemporal concepts can be challenging. Recent theoretical work suggests analogical reasoning can be a powerful tool to aid student learning to reason about temporal relations using spatial skills. Recent work in our lab has found that progressive alignment of spatial and temporal scales promotes accurate reasoning about temporal relations at geological time scales.

  16. Opportunities at Geoscience in Veracruz

    Science.gov (United States)

    Welsh-Rodríguez, C.

    2006-12-01

    The State of Veracruz is located in the central part of the Gulf of Mexico. It has enormous natural, economic and cultural wealth, is the third most populous state in Mexico, with nearly 33 % of the nation's water resources. It has an enormous quantity of natural resources, including oil, and is strategically located in Mexico. On one hand, mountains to the east are a natural border on the other lies the Gulf of Mexico. Between these two barriers are located tropical forests, mountain forests, jungles, wetlands, reefs, etc., and the land is one of the richest in biodiversity within the Americas. Veracruz, because of its geographical characteristics, presents an opportunity for research and collaboration in the geosciences. The region has experienced frequent episodes of torrential rainfalls, which have caused floods resulting in large amounts of property damage to agriculture, housing, infrastructure and, in extreme situations, loss of human life. In 2004 Veracruz University initiated a bachelor degree in Geography, which will prepare professionals to use their knowledge of geosciences to understand and promote integrated assessment of the prevailing problems in the State. Along with the geography program, the Earth Science Center offers other research programs in seismology, vulcanology, climatology, sustainable development and global change. Because of these characteristics, Veracruz is an optimal environment for active research in the geosciences, as well as for sharing the results of this research with educators, students, and all learners. We look forward to facilitating these efforts in the coming years.

  17. Issues in the use of neural networks in information retrieval

    CERN Document Server

    Iatan, Iuliana F

    2017-01-01

    This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality. It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules. Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.

  18. Models, Entropy and Information of Temporal Social Networks

    Science.gov (United States)

    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.

  19. Introduction to spiking neural networks: Information processing, learning and applications.

    Science.gov (United States)

    Ponulak, Filip; Kasinski, Andrzej

    2011-01-01

    The concept that neural information is encoded in the firing rate of neurons has been the dominant paradigm in neurobiology for many years. This paradigm has also been adopted by the theory of artificial neural networks. Recent physiological experiments demonstrate, however, that in many parts of the nervous system, neural code is founded on the timing of individual action potentials. This finding has given rise to the emergence of a new class of neural models, called spiking neural networks. In this paper we summarize basic properties of spiking neurons and spiking networks. Our focus is, specifically, on models of spike-based information coding, synaptic plasticity and learning. We also survey real-life applications of spiking models. The paper is meant to be an introduction to spiking neural networks for scientists from various disciplines interested in spike-based neural processing.

  20. Information loss method to measure node similarity in networks

    Science.gov (United States)

    Li, Yongli; Luo, Peng; Wu, Chong

    2014-09-01

    Similarity measurement for the network node has been paid increasing attention in the field of statistical physics. In this paper, we propose an entropy-based information loss method to measure the node similarity. The whole model is established based on this idea that less information loss is caused by seeing two more similar nodes as the same. The proposed new method has relatively low algorithm complexity, making it less time-consuming and more efficient to deal with the large scale real-world network. In order to clarify its availability and accuracy, this new approach was compared with some other selected approaches on two artificial examples and synthetic networks. Furthermore, the proposed method is also successfully applied to predict the network evolution and predict the unknown nodes' attributions in the two application examples.

  1. GOLD: Building capacity for broadening participation in the Geosciences

    Science.gov (United States)

    Adams, Amanda; Patino, Lina; Jones, Michael B.; Rom, Elizabeth

    2017-04-01

    The geosciences continue to lag other science, technology, engineering, and mathematics (STEM) disciplines in the engagement, recruitment and retention of traditionally underrepresented and underserved minorities, requiring more focused and strategic efforts to address this problem. Prior investments made by the National Science Foundation (NSF) related to broadening participation in STEM have identified many effective strategies and model programs for engaging, recruiting, and retaining underrepresented students in the geosciences. These investments also have documented clearly the importance of committed, knowledgeable, and persistent leadership for making local progress in broadening participation in STEM and the geosciences. Achieving diversity at larger and systemic scales requires a network of diversity "champions" who can catalyze widespread adoption of these evidence-based best practices and resources. Although many members of the geoscience community are committed to the ideals of broadening participation, the skills and competencies that empower people who wish to have an impact, and make them effective as leaders in that capacity for sustained periods of time, must be cultivated through professional development. The NSF GEO Opportunities for Leadership in Diversity (GOLD) program was implemented in 2016, as a funding opportunity utilizing the Ideas Lab mechanism. Ideas Labs are intensive workshops focused on finding innovative solutions to grand challenge problems. The ultimate aim of this Ideas Lab, organized by the NSF Directorate for Geosciences (GEO), was to facilitate the design, pilot implementation, and evaluation of innovative professional development curricula that can unleash the potential of geoscientists with interests in broadening participation to become impactful leaders within the community. The expectation is that mixing geoscientists with experts in broadening participation research, behavioral change, social psychology, institutional

  2. Construction of the NIFS campus information network, NIFS-LAN

    Energy Technology Data Exchange (ETDEWEB)

    Tsuda, Kenzo; Yamamoto, Takashi; Kato, Takeo; Nakamura, Osamu; Watanabe, Kunihiko; Watanabe, Reiko; Tsugawa, Kazuko; Kamimura, Tetsuo

    2000-10-01

    The advanced NIFS campus information network, NIFS-LAN, was designed and constructed as an informational infrastructure in 1996, 1997 and 1998 fiscal year. NIFS-LAN was composed of three autonomous clusters classified from research purpose; Research Information cluster, Large Helical Device Experiment cluster and Large-Scale Computer Simulation Research cluster. Many ATM(Asychronous Transfer Mode) switching systems and switching equipments were used for NIFS-LAN. Here, the outline of NIFS-LAN is described. (author)

  3. Gravity Effects on Information Filtering and Network Evolving

    Science.gov (United States)

    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. PMID:24622162

  4. Practical characterization of large networks using neighborhood information

    KAUST Repository

    Wang, Pinghui

    2018-02-14

    Characterizing large complex networks such as online social networks through node querying is a challenging task. Network service providers often impose severe constraints on the query rate, hence limiting the sample size to a small fraction of the total network of interest. Various ad hoc subgraph sampling methods have been proposed, but many of them give biased estimates and no theoretical basis on the accuracy. In this work, we focus on developing sampling methods for large networks where querying a node also reveals partial structural information about its neighbors. Our methods are optimized for NoSQL graph databases (if the database can be accessed directly), or utilize Web APIs available on most major large networks for graph sampling. We show that our sampling method has provable convergence guarantees on being an unbiased estimator, and it is more accurate than state-of-the-art methods. We also explore methods to uncover shortest paths between a subset of nodes and detect high degree nodes by sampling only a small fraction of the network of interest. Our results demonstrate that utilizing neighborhood information yields methods that are two orders of magnitude faster than state-of-the-art methods.

  5. Computer network access to scientific information systems for minority universities

    Science.gov (United States)

    Thomas, Valerie L.; Wakim, Nagi T.

    1993-08-01

    The evolution of computer networking technology has lead to the establishment of a massive networking infrastructure which interconnects various types of computing resources at many government, academic, and corporate institutions. A large segment of this infrastructure has been developed to facilitate information exchange and resource sharing within the scientific community. The National Aeronautics and Space Administration (NASA) supports both the development and the application of computer networks which provide its community with access to many valuable multi-disciplinary scientific information systems and on-line databases. Recognizing the need to extend the benefits of this advanced networking technology to the under-represented community, the National Space Science Data Center (NSSDC) in the Space Data and Computing Division at the Goddard Space Flight Center has developed the Minority University-Space Interdisciplinary Network (MU-SPIN) Program: a major networking and education initiative for Historically Black Colleges and Universities (HBCUs) and Minority Universities (MUs). In this paper, we will briefly explain the various components of the MU-SPIN Program while highlighting how, by providing access to scientific information systems and on-line data, it promotes a higher level of collaboration among faculty and students and NASA scientists.

  6. DC Rocks! Using Place-Based Learning to Introduce Washington DC's K-12 Students to the Geosciences

    Science.gov (United States)

    Mayberry, G. C.; Mattietti, G. K.

    2017-12-01

    local scientists and curricula, and students will be able to access information about geoscience-related opportunities in DC such as field trips. DC Rocks has the potential to encourage minority students to consider higher education in the geosciences by exposing them to the field early on and ultimately these students may pursue geoscience careers.

  7. Proactive Traffic Information Control in Emergency Evacuation Network

    Directory of Open Access Journals (Sweden)

    Zhengfeng Huang

    2015-01-01

    Full Text Available Traffic demand in emergency evacuation is usually too large to be effectively managed with reactive traffic information control methods. These methods adapt to the road traffic passively by publishing real-time information without consideration of the routing behavior feedback produced by evacuees. Other remedy measures have to be prepared in case of nonrecurring congestion under these methods. To use the network capacity fully to mitigate near-future evacuation traffic congestion, we propose proactive traffic information control (PTIC model. Based on the mechanism between information and routing behavior feedback, this model can change the route choice of evacuees in advance by dissipating strategic traffic information. Generally, the near-future traffic condition is difficult to accurately predict because it is uncertain in evacuation. Assume that the value of traffic information obeys certain distribution within a range, and then real-time traffic information may reflect the most-likely near-future traffic condition. Unlike the real-time information, the proactive traffic information is a selection within the range to achieve a desired level of the road network performance index (total system travel time. In the aspect of the solution algorithm, differential equilibrium decomposed optimization (D-EDO is proposed to compare with other heuristic methods. A field study on a road network around a large stadium is used to validate the PTIC.

  8. Multilingual thesaurus of geosciences

    CERN Document Server

    Rassam, G N

    2013-01-01

    This thesaurus is presented in six languages, English, French, German, Italian, Russian and Spanish, and sponsored by the International Council for Scientific and Technical Information (ICSTI) and the International Union of Geological Sciences (IUGS). There is a main list of approximately 5000 key terms together with indexes and translations which include a specific linguistic index and a field index in which key terms have been classified by field.

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

    Science.gov (United States)

    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.

  10. Prioritizing Signaling Information Transmission in Next Generation Networks

    Directory of Open Access Journals (Sweden)

    Jasmina Baraković

    2011-01-01

    Full Text Available Next generation transport network is characterized by the use of in-band signaling, where Internet Protocol (IP packets carrying signaling or media information are mixed in transmission. Since transport resources are limited, when any segment of access or core network is congested, IP packets carrying signaling information may be discarded. As a consequence, it may be impossible to implement reachability and quality of service (QoS. Since present approaches are insufficient to completely address this problem, a novel approach is proposed, which is based on prioritizing signaling information transmission. To proof the concept, a simulation study was performed using Network Simulator version 2 (ns-2 and independently developed Session Initiation Protocol (SIP module. The obtained results were statistically processed using Statistical Package for the Social Sciences (SPSS version 15.0. Summarizing our research results, several issues are identified for future work.

  11. Information-Theoretic Inference of Large Transcriptional Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Meyer Patrick

    2007-01-01

    Full Text Available The paper presents MRNET, an original method for inferring genetic networks from microarray data. The method is based on maximum relevance/minimum redundancy (MRMR, an effective information-theoretic technique for feature selection in supervised learning. The MRMR principle consists in selecting among the least redundant variables the ones that have the highest mutual information with the target. MRNET extends this feature selection principle to networks in order to infer gene-dependence relationships from microarray data. The paper assesses MRNET by benchmarking it against RELNET, CLR, and ARACNE, three state-of-the-art information-theoretic methods for large (up to several thousands of genes network inference. Experimental results on thirty synthetically generated microarray datasets show that MRNET is competitive with these methods.

  12. Information-Theoretic Inference of Large Transcriptional Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Patrick E. Meyer

    2007-06-01

    Full Text Available The paper presents MRNET, an original method for inferring genetic networks from microarray data. The method is based on maximum relevance/minimum redundancy (MRMR, an effective information-theoretic technique for feature selection in supervised learning. The MRMR principle consists in selecting among the least redundant variables the ones that have the highest mutual information with the target. MRNET extends this feature selection principle to networks in order to infer gene-dependence relationships from microarray data. The paper assesses MRNET by benchmarking it against RELNET, CLR, and ARACNE, three state-of-the-art information-theoretic methods for large (up to several thousands of genes network inference. Experimental results on thirty synthetically generated microarray datasets show that MRNET is competitive with these methods.

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

    International Nuclear Information System (INIS)

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

    2015-01-01

    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. (paper)

  14. Information flow in a network of dispersed signalers-receivers

    Science.gov (United States)

    Halupka, Konrad

    2017-11-01

    I consider a stochastic model of multi-agent communication in regular network. The model describes how dispersed animals exchange information. Each agent can initiate and transfer the signal to its nearest neighbors, who may pass it farther. For an external observer of busy networks, signaling activity may appear random, even though information flow actually thrives. Only when signal initiation and transfer are at low levels do spatiotemporal autocorrelations emerge as clumping signaling activity in space and pink noise time series. Under such conditions, the costs of signaling are moderate, but the signaler can reach a large audience. I propose that real-world networks of dispersed signalers-receivers may self-organize into this state and the flow of information maintains their integrity.

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

    Science.gov (United States)

    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.

  16. Scatter networks: a new approach for analysing information scatter

    International Nuclear Information System (INIS)

    Adamic, Lada A; Suresh, K; Shi Xiaolin

    2007-01-01

    Information on any given topic is often scattered across the Web. Previously this scatter has been characterized through the inequality of distribution of facts (i.e. pieces of information) across webpages. Such an approach conceals how specific facts (e.g. rare facts) occur in specific types of pages (e.g. fact-rich pages). To reveal such regularities, we construct bipartite networks, consisting of two types of vertices: the facts contained in webpages and the webpages themselves. Such a representation enables the application of a series of network analysis techniques, revealing structural features such as connectivity, robustness and clustering. Not only does network analysis yield new insights into information scatter, but we also illustrate the benefit of applying new and existing analysis techniques directly to a bipartite network as opposed to its one-mode projection. We discuss the implications of each network feature to the users' ability to find comprehensive information online. Finally, we compare the bipartite graph structure of webpages and facts with the hyperlink structure between the webpages

  17. Report of 'Survey on Asian environmental information networks'; 'Asia kankyo joho network chosa' ni kansuru hokokusho

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1994-03-01

    This project is implemented to survey the current statuses and future trends of the Asian district environment-related information networks, for the (research cooperation project for development of environmental condition measuring laser radar systems), being promoted by NEDO. First, current statuses of the network names, managing organizations, user numbers, conditions of use, protocols for use, service conditions, major domestic nodes and internationally connected conditions are surveyed mainly for internet-connected networks, for surveying the current statuses and future trends of the research networks in Asian countries. Second, current statuses in Indonesia of the network names, managing organizations, user numbers, conditions of use, protocols for use, service conditions, domestic node sites and managing organizations, charge systems and institutions, types/reliability/ stability of the circuits, and conditions of restriction of use, if any, for surveying the current statuses and future trends in Indonesia. Third, conditions of and needs for network utilization by researchers for Asian district environments. (NEDO)

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

    Science.gov (United States)

    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.

  19. Undergraduate research projects help promote diversity in the geosciences

    Science.gov (United States)

    Young, De'Etra; Trimboli, Shannon; Toomey, Rick S.; Byl, Thomas D.

    2016-01-01

    A workforce that draws from all segments of society and mirrors the ethnic, racial, and gender diversity of the United States population is important. The geosciences (geology, hydrology, geospatial sciences, environmental sciences) continue to lag far behind other science, technology, engineering and mathematical (STEM) disciplines in recruiting and retaining minorities (Valsco and Valsco, 2010). A report published by the National Science Foundation in 2015, “Women, Minorities, and Persons with Disabilities in Science and Engineering” states that from 2002 to 2012, less than 2% of the geoscience degrees were awarded to African-American students. Data also show that as of 2012, approximately 30% of African-American Ph.D. graduates obtained a bachelor’s degree from a Historic Black College or University (HBCU), indicating that HBCUs are a great source of diverse students for the geosciences. This paper reviews how an informal partnership between Tennessee State University (a HBCU), the U.S. Geological Survey, and Mammoth Cave National Park engaged students in scientific research and increased the number of students pursuing employment or graduate degrees in the geosciences.

  20. On the Cutting Edge Professional Development Program: Workshop and Web Resources for Current and Future Geoscience Faculty

    Science.gov (United States)

    MacDonald, R.; Manduca, C. A.; Mogk, D. W.; Tewksbury, B. J.

    2004-12-01

    Recognizing that many college and university faculty receive little formal training in teaching, are largely unaware of advances in research on teaching and learning, and face a variety of challenges in advancing in academic careers, the National Science Foundation-funded program On the Cutting Edge provides professional development for current and future faculty in the geosciences at various stages in their careers. The program includes a series of six multi-day workshops, sessions and one-day workshops at professional meetings, and a website with information about workshop opportunities and a variety of resources that bring workshop content to faculty (http://serc.carleton.edu/NAGTWorkshops). The program helps faculty improve their teaching and their job satisfaction by providing resources on instructional methods, geoscience content, and strategies for career planning. Workshop and website resources address innovative and effective practices in teaching, course design, delivery of instructional materials, and career planning, as well as approaches for teaching particular topics and strategies for starting and maintaining a research program in various institutional settings. Each year, special workshops for graduate students and post-doctoral fellows interested in academic careers and for early career faculty complement offerings on course design and emerging topics that are open to the full geoscience community. These special workshops include sessions on topics such as dual careers, gender issues, family-work balance, interviewing and negotiating strategies. The workshops serve as opportunities for networking and community building, with participants building connections with other participants as well as workshop leaders. Workshop participants reflect the full range of institutional diversity as well as ethnic and racial diversity beyond that of the geoscience faculty workforce. More than 40 percent of the faculty participants are female. Of the faculty

  1. Exploring knowledge transfer within manufacturing networks and codified information characteristics: the hidden dangers of inaccurate information

    NARCIS (Netherlands)

    Steenhuis, H.J.; de Bruijn, E.J.

    2004-01-01

    Technology transfer is an important aspect of, and takes frequently place in, international manufacturing networks. A key component of a specific technology is the knowledge and information that accompanies it. This study explores the difficulties with transferring technological knowledge and

  2. Be Explicit: Geoscience Program Design to Prepare the Next Generation of Geoscientists

    Science.gov (United States)

    Mogk, D. W.

    2015-12-01

    The work of geoscientists is to engage inquiry, discovery and exploration of Earth history and processes, and increasingly, to apply this knowledge to the "grand challenges" that face humanity. Geoscience as a discipline is confronted with an incomplete geologic record, observations or data that are often ambiguous or uncertain, and a need to grasp abstract concepts such as temporal reasoning ('deep time'), spatial reasoning over many orders of magnitude, and complex system behavior. These factors provide challenges, and also opportunities, for training future geoscientists. Beyond disciplinary knowledge, it is also important to provide opportunities for students to engage the community of practice and demonstrate how to "be" a geoscientist. Inculcation of geoscience "ways of knowing" is a collective responsibility for geoscientists (teaching faculty and other professionals), at all instructional levels, in all geoscience disciplines, and for all students. A whole-student approach is recommended. Geoscience programs can be designed to focus on student success by explictly: 1) defining programmatic student learning outcomes , 2) embedding assessments throughout the program to demonstrate mastery, 3) aligning course sequences to reinforce and anticipate essential concepts/skills, 4) preparing students to be life-long learners; 5) assigning responsibilities to courses/faculty to ensure these goals have been met; 6) providing opportunities for students to "do" geoscience (research experiences), and 7) modeling professional behaviors in class, field, labs, and informal settings. Extracurricular departmental activities also contribute to student development such as journal clubs, colloquia, field trips, and internships. Successful design of geoscience department programs is informed by: the AGI Workforce program and Summit on the Future of Geoscience Education that define pathways for becoming a successful geoscientist; training in Geoethics; Geoscience Education

  3. Information dynamics of brain–heart physiological networks during sleep

    International Nuclear Information System (INIS)

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

    2014-01-01

    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. (paper)

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

    Science.gov (United States)

    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.

  5. 78 FR 71631 - Committee Name: Homeland Security Information Network Advisory Committee (HSINAC)

    Science.gov (United States)

    2013-11-29

    ... DEPARTMENT OF HOMELAND SECURITY [DHS-2013-0037] Committee Name: Homeland Security Information.... SUMMARY: The Homeland Security Information Network Advisory Council (HSINAC) will meet December 17, 2013... , Phone: 202-343-4212. SUPPLEMENTARY INFORMATION: The Homeland Security Information Network Advisory...

  6. Towards the understanding of network information processing in biology

    Science.gov (United States)

    Singh, Vijay

    Living organisms perform incredibly well in detecting a signal present in the environment. This information processing is achieved near optimally and quite reliably, even though the sources of signals are highly variable and complex. The work in the last few decades has given us a fair understanding of how individual signal processing units like neurons and cell receptors process signals, but the principles of collective information processing on biological networks are far from clear. Information processing in biological networks, like the brain, metabolic circuits, cellular-signaling circuits, etc., involves complex interactions among a large number of units (neurons, receptors). The combinatorially large number of states such a system can exist in makes it impossible to study these systems from the first principles, starting from the interactions between the basic units. The principles of collective information processing on such complex networks can be identified using coarse graining approaches. This could provide insights into the organization and function of complex biological networks. Here I study models of biological networks using continuum dynamics, renormalization, maximum likelihood estimation and information theory. Such coarse graining approaches identify features that are essential for certain processes performed by underlying biological networks. We find that long-range connections in the brain allow for global scale feature detection in a signal. These also suppress the noise and remove any gaps present in the signal. Hierarchical organization with long-range connections leads to large-scale connectivity at low synapse numbers. Time delays can be utilized to separate a mixture of signals with temporal scales. Our observations indicate that the rules in multivariate signal processing are quite different from traditional single unit signal processing.

  7. A Symbiotic Framework for coupling Machine Learning and Geosciences in Prediction and Predictability

    Science.gov (United States)

    Ravela, S.

    2017-12-01

    In this presentation we review the two directions of a symbiotic relationship between machine learning and the geosciences in relation to prediction and predictability. In the first direction, we develop ensemble, information theoretic and manifold learning framework to adaptively improve state and parameter estimates in nonlinear high-dimensional non-Gaussian problems, showing in particular that tractable variational approaches can be produced. We demonstrate these applications in the context of autonomous mapping of environmental coherent structures and other idealized problems. In the reverse direction, we show that data assimilation, particularly probabilistic approaches for filtering and smoothing offer a novel and useful way to train neural networks, and serve as a better basis than gradient based approaches when we must quantify uncertainty in association with nonlinear, chaotic processes. In many inference problems in geosciences we seek to build reduced models to characterize local sensitivies, adjoints or other mechanisms that propagate innovations and errors. Here, the particular use of neural approaches for such propagation trained using ensemble data assimilation provides a novel framework. Through these two examples of inference problems in the earth sciences, we show that not only is learning useful to broaden existing methodology, but in reverse, geophysical methodology can be used to influence paradigms in learning.

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

    Directory of Open Access Journals (Sweden)

    Fernando Peruani

    Full Text Available 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.

  9. Chaotic, informational and synchronous behaviour of multiplex networks

    Science.gov (United States)

    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.

  10. Analyzing complex networks evolution through Information Theory quantifiers

    International Nuclear Information System (INIS)

    Carpi, Laura C.; Rosso, Osvaldo A.; Saco, Patricia M.; Ravetti, Martin Gomez

    2011-01-01

    A methodology to analyze dynamical changes in complex networks based on Information Theory quantifiers is proposed. The square root of the Jensen-Shannon divergence, a measure of dissimilarity between two probability distributions, and the MPR Statistical Complexity are used to quantify states in the network evolution process. Three cases are analyzed, the Watts-Strogatz model, a gene network during the progression of Alzheimer's disease and a climate network for the Tropical Pacific region to study the El Nino/Southern Oscillation (ENSO) dynamic. We find that the proposed quantifiers are able not only to capture changes in the dynamics of the processes but also to quantify and compare states in their evolution.

  11. Analyzing complex networks evolution through Information Theory quantifiers

    Energy Technology Data Exchange (ETDEWEB)

    Carpi, Laura C., E-mail: Laura.Carpi@studentmail.newcastle.edu.a [Civil, Surveying and Environmental Engineering, University of Newcastle, University Drive, Callaghan NSW 2308 (Australia); Departamento de Fisica, Instituto de Ciencias Exatas, Universidade Federal de Minas Gerais, Av. Antonio Carlos 6627, Belo Horizonte (31270-901), MG (Brazil); Rosso, Osvaldo A., E-mail: rosso@fisica.ufmg.b [Departamento de Fisica, Instituto de Ciencias Exatas, Universidade Federal de Minas Gerais, Av. Antonio Carlos 6627, Belo Horizonte (31270-901), MG (Brazil); Chaos and Biology Group, Instituto de Calculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellon II, Ciudad Universitaria, 1428 Ciudad de Buenos Aires (Argentina); Saco, Patricia M., E-mail: Patricia.Saco@newcastle.edu.a [Civil, Surveying and Environmental Engineering, University of Newcastle, University Drive, Callaghan NSW 2308 (Australia); Departamento de Hidraulica, Facultad de Ciencias Exactas, Ingenieria y Agrimensura, Universidad Nacional de Rosario, Avenida Pellegrini 250, Rosario (Argentina); Ravetti, Martin Gomez, E-mail: martin.ravetti@dep.ufmg.b [Departamento de Engenharia de Producao, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Belo Horizonte (31270-901), MG (Brazil)

    2011-01-24

    A methodology to analyze dynamical changes in complex networks based on Information Theory quantifiers is proposed. The square root of the Jensen-Shannon divergence, a measure of dissimilarity between two probability distributions, and the MPR Statistical Complexity are used to quantify states in the network evolution process. Three cases are analyzed, the Watts-Strogatz model, a gene network during the progression of Alzheimer's disease and a climate network for the Tropical Pacific region to study the El Nino/Southern Oscillation (ENSO) dynamic. We find that the proposed quantifiers are able not only to capture changes in the dynamics of the processes but also to quantify and compare states in their evolution.

  12. Information processing and routing in wireless sensor networks

    CERN Document Server

    Yu, Yang; Krishnamachari, Bhaskar

    2006-01-01

    This book presents state-of-the-art cross-layer optimization techniques for energy-efficient information processing and routing in wireless sensor networks. Besides providing a survey on this important research area, three specific topics are discussed in detail - information processing in a collocated cluster, information transport over a tree substrate, and information routing for computationally intensive applications. The book covers several important system knobs for cross-layer optimization, including voltage scaling, rate adaptation, and tunable compression. By exploring tradeoffs of en

  13. Information spread of emergency events: path searching on social networks.

    Science.gov (United States)

    Dai, Weihui; Hu, Hongzhi; Wu, Tunan; Dai, Yonghui

    2014-01-01

    Emergency has attracted global attentions of government and the public, and it will easily trigger a series of serious social problems if it is not supervised effectively in the dissemination process. In the Internet world, people communicate with each other and form various virtual communities based on social networks, which lead to a complex and fast information spread pattern of emergency events. This paper collects Internet data based on data acquisition and topic detection technology, analyzes the process of information spread on social networks, describes the diffusions and impacts of that information from the perspective of random graph, and finally seeks the key paths through an improved IBF algorithm. Application cases have shown that this algorithm can search the shortest spread paths efficiently, which may help us to guide and control the information dissemination of emergency events on early warning.

  14. Information Spread of Emergency Events: Path Searching on Social Networks

    Directory of Open Access Journals (Sweden)

    Weihui Dai

    2014-01-01

    Full Text Available Emergency has attracted global attentions of government and the public, and it will easily trigger a series of serious social problems if it is not supervised effectively in the dissemination process. In the Internet world, people communicate with each other and form various virtual communities based on social networks, which lead to a complex and fast information spread pattern of emergency events. This paper collects Internet data based on data acquisition and topic detection technology, analyzes the process of information spread on social networks, describes the diffusions and impacts of that information from the perspective of random graph, and finally seeks the key paths through an improved IBF algorithm. Application cases have shown that this algorithm can search the shortest spread paths efficiently, which may help us to guide and control the information dissemination of emergency events on early warning.

  15. Digital Denmark: From Information Society to Network Society

    DEFF Research Database (Denmark)

    Henten, Anders; Falch, Morten

    2000-01-01

    for a welfare society. However, globalisation and the spreading use of new information and communication technologies and services challenge this position. This article examines Denmark's performance in implementing its IS 2000 plans, the background to the Digital Denmark report, and its implications......The Danish Government recently issued a new policy report, Digital Denmark, on the "conversion to a network society", as a successor to its Information Society 2000 report (1994). This is part of a new round of information society policy vision statements that are, or will be forthcoming from...... national governments everywhere. Denmark provides an interesting case study because it ranks high in the benchmark indicators of information network society developments. This position has been obtained largely by public sector initiatives and without erosion of the highly reputed Scandinavian model...

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  18. Summary outline of ERDA geosciences and geoscience-related research

    International Nuclear Information System (INIS)

    1976-08-01

    The Division of Biomedical and Environmental Research (DBER) supports long-range, basic geosciences research in those areas of the life sciences which are relevant to current or planned ERDA programs. A central objective of the DBER geosciences program is to understand the mechanisms by which radionuclides and non-nuclear pollutants move through and interact with ecological systems including the air, land, inland waters, and oceans. Principal areas of interest include, in the field of atmospheric sciences: studies of the troposphere, particle formation, particulate matter, behavior of aerosols and gases, atmospheric transport and diffusion of fossil fuel pollutants, radionuclides, radionuclide global distribution patterns, nuclear emergency response systems, precipitation scavenging and dry deposition, regional relationships between pollutant sources and ambient atmospheric concentrations; and oceanographic studies of radioactivity that may be directly added to the environment from waste disposal activities and reactor operations or indirectly from nuclear explosions and transportation, the source term characterization, transport, fate, and effects of these pollutants in the marine environment; and studies of thermal effects on biological systems, mixing and circulation of water, distribution of radionuclides in ocean waters and sediments, and geochronology.A summary outline of the research programs is presented

  19. Running a network on a shoestring: the Global Invasive Species Information Network

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    2016-04-15

    attain quite substantial savings. 11. Optimal algorithms for energy harvesting in wireless networks. We use a Markov- decision-process (MDP) based...approach to obtain optimal policies for transmissions . The key advantage of our approach is that it holistically considers information and energy in a...Coding technique to minimize delays and the number of transmissions in Wireless Systems. As we approach an era of ubiquitous computing with information

  1. Building Strong Geoscience Departments Through the Visiting Workshop Program

    Science.gov (United States)

    Ormand, C. J.; Manduca, C. A.; Macdonald, H.; Bralower, T. J.; Clemens-Knott, D.; Doser, D. I.; Feiss, P. G.; Rhodes, D. D.; Richardson, R. M.; Savina, M. E.

    2011-12-01

    The Building Strong Geoscience Departments project focuses on helping geoscience departments adapt and prosper in a changing and challenging environment. From 2005-2009, the project offered workshop programs on topics such as student recruitment, program assessment, preparing students for the workforce, and strengthening geoscience programs. Participants shared their departments' challenges and successes. Building on best practices and most promising strategies from these workshops and on workshop leaders' experiences, from 2009-2011 the project ran a visiting workshop program, bringing workshops to 18 individual departments. Two major strengths of the visiting workshop format are that it engages the entire department in the program, fostering a sense of shared ownership and vision, and that it focuses on each department's unique situation. Departments applied to have a visiting workshop, and the process was highly competitive. Selected departments chose from a list of topics developed through the prior workshops: curriculum and program design, program elements beyond the curriculum, recruiting students, preparing students for the workforce, and program assessment. Two of our workshop leaders worked with each department to customize and deliver the 1-2 day programs on campus. Each workshop incorporated exercises to facilitate active departmental discussions, presentations incorporating concrete examples drawn from the leaders' experience and from the collective experiences of the geoscience community, and action planning to scaffold implementation. All workshops also incorporated information on building departmental consensus and assessing departmental efforts. The Building Strong Geoscience Departments website complements the workshops with extensive examples from the geoscience community. Of the 201 participants in the visiting workshop program, 140 completed an end of workshop evaluation survey with an overall satisfaction rating of 8.8 out of a possible 10

  2. Practical characterization of large networks using neighborhood information

    KAUST Repository

    Wang, Pinghui; Zhao, Junzhou; Ribeiro, Bruno; Lui, John C. S.; Towsley, Don; Guan, Xiaohong

    2018-01-01

    querying a node also reveals partial structural information about its neighbors. Our methods are optimized for NoSQL graph databases (if the database can be accessed directly), or utilize Web APIs available on most major large networks for graph sampling

  3. Information Networks and Social Inclusion in Latin America | IDRC ...

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

    Rapid changes in information networks throughout Latin America may provide new opportunities to address inequalities in the region. ... government and open education, with specific attention paid to women and youth in urban settings; ... optimizes household expenditures : a case study from rural communities in Mexico.

  4. Information system design for demand-driven supply networks

    OpenAIRE

    Selk, Bernhard

    2004-01-01

    Information system design for demand-driven supply networks : integrating CRM & SCM / B. Selk, K. Turowski, C. Winnewisser. - In: EIS : Fourth International ICSC Symposium on Engineering of Intelligent Systems, EIS 2004. [Elektronische Ressource]. - Millet, Alberta : ICSC Interdisciplinary Research Canada, 2004. - 8 S. auf CD-ROM

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

    Science.gov (United States)

    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.

  6. INFORMATION SYSTEM OF AIRPORT NETWORK DEVELOPMENT MONITORING FORMATION

    Directory of Open Access Journals (Sweden)

    Oleg Smirnov

    2015-07-01

    Full Text Available The article analyzes the approaches to the development of information system in public administration of this important branch of transport civil aviation. In particular, it is shown that the application of algorithmic elements allows to increase the objectivity and transparency when making decisions regarding the regulation of development of the airport network.

  7. Determinants of informal coordination in networked supply chains

    NARCIS (Netherlands)

    Ashayeri, J.; Ogulin, R.; Selen, W.

    2012-01-01

    Purpose – The purpose of this paper is to empirically examine capability connectivity, relationship alignment and the ability to informally network in the supply chain as determinants for better utilizing capabilities amongst supply chain partners. In particular, the paper focuses on how the above

  8. ODIN. Online Database Information Network: ODIN Policy & Procedure Manual.

    Science.gov (United States)

    Townley, Charles T.; And Others

    Policies and procedures are outlined for the Online Database Information Network (ODIN), a cooperative of libraries in south-central Pennsylvania, which was organized to improve library services through technology. The first section covers organization and goals, members, and responsibilities of the administrative council and libraries. Patrons…

  9. Network Inference and Maximum Entropy Estimation on Information Diagrams

    Czech Academy of Sciences Publication Activity Database

    Martin, E.A.; Hlinka, J.; Meinke, A.; Děchtěrenko, Filip; Tintěra, J.; Oliver, I.; Davidsen, J.

    2017-01-01

    Roč. 7, č. 1 (2017), s. 1-15, č. článku 7062. ISSN 2045-2322 R&D Projects: GA ČR GA13-23940S Institutional support: RVO:68081740 Keywords : complex networks * mutual information * entropy maximization * fMRI Subject RIV: AN - Psychology OBOR OECD: Cognitive sciences Impact factor: 4.259, year: 2016

  10. Promoting information diffusion through interlayer recovery processes in multiplex networks

    Science.gov (United States)

    Wang, Xin; Li, Weihua; Liu, Longzhao; Pei, Sen; Tang, Shaoting; Zheng, Zhiming

    2017-09-01

    For information diffusion in multiplex networks, the effect of interlayer contagion on spreading dynamics has been explored in different settings. Nevertheless, the impact of interlayer recovery processes, i.e., the transition of nodes to stiflers in all layers after they become stiflers in any layer, still remains unclear. In this paper, we propose a modified ignorant-spreader-stifler model of rumor spreading equipped with an interlayer recovery mechanism. We find that the information diffusion can be effectively promoted for a range of interlayer recovery rates. By combining the mean-field approximation and the Markov chain approach, we derive the evolution equations of the diffusion process in two-layer homogeneous multiplex networks. The optimal interlayer recovery rate that achieves the maximal enhancement can be calculated by solving the equations numerically. In addition, we find that the promoting effect on a certain layer can be strengthened if information spreads more extensively within the counterpart layer. When applying the model to two-layer scale-free multiplex networks, with or without degree correlation, similar promoting effect is also observed in simulations. Our work indicates that the interlayer recovery process is beneficial to information diffusion in multiplex networks, which may have implications for designing efficient spreading strategies.

  11. Information transmission and signal permutation in active flow networks

    Science.gov (United States)

    Woodhouse, Francis G.; Fawcett, Joanna B.; Dunkel, Jörn

    2018-03-01

    Recent experiments show that both natural and artificial microswimmers in narrow channel-like geometries will self-organise to form steady, directed flows. This suggests that networks of flowing active matter could function as novel autonomous microfluidic devices. However, little is known about how information propagates through these far-from-equilibrium systems. Through a mathematical analogy with spin-ice vertex models, we investigate here the input–output characteristics of generic incompressible active flow networks (AFNs). Our analysis shows that information transport through an AFN is inherently different from conventional pressure or voltage driven networks. Active flows on hexagonal arrays preserve input information over longer distances than their passive counterparts and are highly sensitive to bulk topological defects, whose presence can be inferred from marginal input–output distributions alone. This sensitivity further allows controlled permutations on parallel inputs, revealing an unexpected link between active matter and group theory that can guide new microfluidic mixing strategies facilitated by active matter and aid the design of generic autonomous information transport networks.

  12. Relay-based information broadcast in complex networks

    Science.gov (United States)

    Fan, Zhongyan; Han, Zeyu; Tang, Wallace K. S.; Lin, Dong

    2018-04-01

    Information broadcast (IB) is a critical process in complex network, usually accomplished by flooding mechanism. Although flooding is simple and no prior topological information is required, it consumes a lot of transmission overhead. Another extreme is the tree-based broadcast (TB), for which information is disseminated via a spanning tree. It achieves the minimal transmission overhead but the maintenance of spanning tree for every node is an obvious obstacle for implementation. Motivated by the success of scale-free network models for real-world networks, in this paper, we investigate the issues in IB by considering an alternative solution in-between these two extremes. A novel relay-based broadcast (RB) mechanism is proposed by employing a subset of nodes as relays. Information is firstly forwarded to one of these relays and then re-disseminated to others through the spanning tree whose root is the relay. This mechanism provides a trade-off solution between flooding and TB. On one hand, it saves up a lot of transmission overhead as compared to flooding; on the other hand, it costs much less resource for maintenance than TB as only a few spanning trees are needed. Based on two major criteria, namely the transmission overhead and the convergence time, the effectiveness of RB is confirmed. The impacts of relay assignment and network structures on performance are also studied in this work.

  13. Social Networks as Information Source for the Purchase Decision Process

    Directory of Open Access Journals (Sweden)

    Camila Leoni Nascimento

    2014-12-01

    Full Text Available The social networks have caused changes in the consumption habits and in the ways of relationship among companies and consumers, emerging a more demanding and informed consumer. In this paper it is aimed to assess the social networks as a source of information for the purchase of goods or services. In the study it was applied a research of exploratory nature through the survey method, conducted through personal interviews using a questionnaire with closed-ended questions. The sample of non-probabilistic type was comprised of 200 individuals from a higher education institution of São Paulo State hinterland. The survey data were analyzed descriptively. Overall, the results showed the use of social networks as a source of information search, in which the main motive is the practicality. The results corroborate the studies of Kotler and Keller (2006 when they state that the consumer seeks information on social networks to help him in the purchase, as Edelman and Hirshberg (2006 when approaching the user confidence in their friends’ opinion. For future works it is recommended to check what strategies and in what ways the companies could work in order to provide more detailed data to Internet users, aiming to support them in the decision

  14. Rwanda Health and Education Information Network (OASIS-RHEIN ...

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

    Rwanda Health and Education Information Network (OASIS-RHEIN). Partners in Health (PIH), an international nongovernmental organization, has demonstrated the effectiveness of its open source electronic medical record system (OpenMRS) in eight clinics in Rwanda. As a result, the Ministry of Health has decided to roll ...

  15. Value of digital information networks : A holonic framework

    NARCIS (Netherlands)

    Madureira, A.J.P.S.

    2011-01-01

    The extraordinary level of interest worldwide in Digital Information Networks (DINs)’ deployment is due to the strong perception that they bring economic, social and environmental value. However, scientific attempts to evidence this perception lead to speculative, elusive or limited conclusions. In

  16. Information and Networks in Asia and Sub-Saharan Africa ...

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

    This project seeks to provide capacity-building support to develop and implement the Information and Networks in Asia and Sub-Saharan Africa (INASSA) research program. INASSA is focused on producing credible, high-quality evidence on the influence of digital initiatives in the areas of governance, science, learning, ...

  17. Geoscience Diversity Enhancement Project: Student Responses.

    Science.gov (United States)

    Rodrigue, Christine M.; Wechsler, Suzanne P.; Whitney, David J.; Ambos, Elizabeth L.; Ramirez-Herrera, Maria Teresa; Behl, Richard; Francis, Robert D.; Larson, Daniel O.; Hazen, Crisanne

    This paper describes an interdisciplinary project at California State University (Long Beach) designed to increase the attractiveness of the geosciences to underrepresented groups. The project is called the Geoscience Diversity Enhancement Project (GDEP). It is a 3-year program which began in the fall of 2001 with funding from the National Science…

  18. Inquiring with Geoscience Datasets: Instruction and Assessment

    Science.gov (United States)

    Zalles, D.; Quellmalz, E.; Gobert, J.

    2005-12-01

    This session will describe a new NSF-funded project in Geoscience education, Inquiring with Geoscience Data Sets. The goals of the project are to (1) Study the impacts on student learning of Web-based supplementary curriculum modules that engage secondary-level students in inquiry projects addressing important geoscience problems using an Earth System Science approach. Students will use technologies to access real data sets in the geosciences and to interpret, analyze, and communicate findings based on the data sets. The standards addressed will include geoscience concepts, inquiry abilities in NSES and Benchmarks for Science Literacy, data literacy, NCTM standards, and 21st-century skills and technology proficiencies (NETTS/ISTE). (2) Develop design principles, specification templates, and prototype exemplars for technology-based performance assessments that provide evidence of students' geoscientific knowledge and inquiry skills (including data literacy skills) and students' ability to access, use, analyze, and interpret technology-based geoscience data sets. (3) Develop scenarios based on the specification templates that describe curriculum modules and performance assessments that could be developed for other Earth Science standards and curriculum programs. Also to be described in the session are the project's efforts to differentiate among the dimensions of data literacy and scientific inquiry that are relevant for the geoscience discplines, and how recognition and awareness of the differences can be effectively channelled for the betterment of geoscience education.

  19. Summaries of physical research in the geosciences

    Energy Technology Data Exchange (ETDEWEB)

    1990-10-01

    The Department of Energy supports research in the geosciences in order to provide a sound foundation of fundamental knowledge in those areas of the geosciences which are germane to the Department of Energy's many missions. The Division of Engineering and Geosciences, part of the Office of Basic Energy Sciences of the Office of Energy Research, supports the Geosciences Research Program. The participants in this program include Department of Energy laboratories, industry, universities, and other governmental agencies. The summaries in this document, prepared by the investigators, briefly describe the scope of the individual programs. The Geosciences Research Program includes research in geology, petrology, geophysics, geochemistry, solar physics, solar-terrestrial relationships, aeronomy, seismology, and natural resource modeling and analysis, including their various subdivisions and interdisciplinary areas. All such research is related either directly or indirectly to the Department of Energy's long-range technological needs.

  20. The USGS/EPA ''radon potential of the U.S.'' project: A case study in the application of geoscience information to public policy

    International Nuclear Information System (INIS)

    Schumann, R.R.; Gundersen, L.C.S.

    1993-01-01

    As part of an interagency agreement with the US Environmental Protection Agency (EPA), the US Geological Survey (USGS) has prepared a series of maps and reports, by state, describing and assessing the geologic radon potential of the United States. The documents were prepared with multiple uses in mind, including guidance for targeted radon sampling or information programs, to aid in the application of radon-resistant building codes, and as a starting point for more detailed investigations. The USGS and EPA were assisted in the planning and review stages by the Association of American State Geologists, and the draft reports were also reviewed by the state radon contact agencies (typically health departments or departments of environmental protection) and other state and federal agencies. A relative radon potential ranking scheme was developed by USGS to provide consistency and accountability. The scheme consists of a Radon Index, the sum of 5 individually-scored factors (geology, soil permeability, aerial radioactivity, architecture, and screening indoor radon data), and an associated Confidence Index, an expression of the quality and quantity of the data used to evaluate each factor. The assessments are presented on a scale that is useful for state- or regional-scale planning, but inapplicable to areas smaller than counties. The most common problems cited by the reviewers are: (1) the conflict of natural geologic boundaries and political boundaries; (2) the use of the NURE aerial radiometric data; (3) the use of short-term charcoal canister data as opposed to long-term annual average data; (4) the definition of ''high'' radon and the cost of dealing with the radon problem if ''high'' is 4 pCi/L; and (5) the potential misuse of geologic assessments by the public, the radon industry, and governments. The use of geological common sense in concert with policy decisions can alleviate many of the above problems

  1. Predicting Genes Involved in Human Cancer Using Network Contextual Information

    Directory of Open Access Journals (Sweden)

    Rahmani Hossein

    2012-03-01

    Full Text Available Protein-Protein Interaction (PPI networks have been widely used for the task of predicting proteins involved in cancer. Previous research has shown that functional information about the protein for which a prediction is made, proximity to specific other proteins in the PPI network, as well as local network structure are informative features in this respect. In this work, we introduce two new types of input features, reflecting additional information: (1 Functional Context: the functions of proteins interacting with the target protein (rather than the protein itself; and (2 Structural Context: the relative position of the target protein with respect to specific other proteins selected according to a novel ANOVA (analysis of variance based measure. We also introduce a selection strategy to pinpoint the most informative features. Results show that the proposed feature types and feature selection strategy yield informative features. A standard machine learning method (Naive Bayes that uses the features proposed here outperforms the current state-of-the-art methods by more than 5% with respect to F-measure. In addition, manual inspection confirms the biological relevance of the top-ranked features.

  2. Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying

    DEFF Research Database (Denmark)

    Heide, Janus; Zhang, Qi; Pedersen, Morten V.

    is RLNC (Random Linear Network Coding) and the goal is to reduce the amount of coding operations both at the coding and decoding node, and at the same time remove the need for dedicated signaling messages. In a traditional RLNC system, coding operation takes up significant computational resources and adds...... the coding operations must be performed in a particular way, which we introduce. Finally we evaluate the suggested system and find that the amount of coding can be significantly reduced both at nodes that recode and decode.......This paper investigated the possibility of intrinsic information conveying in network coding systems. The information is embedded into the coding vector by constructing the vector based on a set of predefined rules. This information can subsequently be retrieved by any receiver. The starting point...

  3. Identification of Functional Information Subgraphs in Complex Networks

    International Nuclear Information System (INIS)

    Bettencourt, Luis M. A.; Gintautas, Vadas; Ham, Michael I.

    2008-01-01

    We present a general information theoretic approach for identifying functional subgraphs in complex networks. We show that the uncertainty in a variable can be written as a sum of information quantities, where each term is generated by successively conditioning mutual informations on new measured variables in a way analogous to a discrete differential calculus. The analogy to a Taylor series suggests efficient optimization algorithms for determining the state of a target variable in terms of functional groups of other nodes. We apply this methodology to electrophysiological recordings of cortical neuronal networks grown in vitro. Each cell's firing is generally explained by the activity of a few neurons. We identify these neuronal subgraphs in terms of their redundant or synergetic character and reconstruct neuronal circuits that account for the state of target cells

  4. AWG, Enhancing Professional Skills, Providing Resources and Assistance for Women in the Geosciences

    Science.gov (United States)

    Sundermann, C.; Cruse, A. M.; AssociationWomen Geoscientists

    2011-12-01

    The Association for Women Geoscientists (AWG) was founded in 1977. AWG is an international organization, with ten chapters, devoted to enhancing the quality and level of participation of women in geosciences, and introducing women and girls to geoscience careers. Our diverse interests and expertise cover the entire spectrum of geoscience disciplines and career paths, providing unexcelled networking and mentoring opportunities to develop leadership skills. Our membership is brought together by a common love of earth, atmospheric and ocean sciences, and the desire to ensure rewarding opportunities for women in the geosciences. AWG offers a variety of scholarships, including the Chrysalis scholarship for women who are returning to school after a life-changing interruption, and the Sands and Takken awards for students to make presentations at professional meetings. AWG promotes professional development through workshops, an online bi-monthly newsletter, more timely e-mailed newsletters, field trips, and opportunities to serve in an established professional organization. AWG recognizes the work of outstanding women geoscientists and of outstanding men supporters of women in the geosciences. The AWG Foundation funds ten scholarships, a Distinguished Lecture Program, the Geologist-in-the-Parks program, Science Fair awards, and numerous Girl Scout programs. Each year, AWG sends a contingent to Congressional Visits Day, to help educate lawmakers about the unique challenges that women scientists face in the geoscience workforce.

  5. Multimedia information processing in the SWAN mobile networked computing system

    Science.gov (United States)

    Agrawal, Prathima; Hyden, Eoin; Krzyzanowsji, Paul; Srivastava, Mani B.; Trotter, John

    1996-03-01

    Anytime anywhere wireless access to databases, such as medical and inventory records, can simplify workflow management in a business, and reduce or even eliminate the cost of moving paper documents. Moreover, continual progress in wireless access technology promises to provide per-user bandwidths of the order of a few Mbps, at least in indoor environments. When combined with the emerging high-speed integrated service wired networks, it enables ubiquitous and tetherless access to and processing of multimedia information by mobile users. To leverage on this synergy an indoor wireless network based on room-sized cells and multimedia mobile end-points is being developed at AT&T Bell Laboratories. This research network, called SWAN (Seamless Wireless ATM Networking), allows users carrying multimedia end-points such as PDAs, laptops, and portable multimedia terminals, to seamlessly roam while accessing multimedia data streams from the wired backbone network. A distinguishing feature of the SWAN network is its use of end-to-end ATM connectivity as opposed to the connectionless mobile-IP connectivity used by present day wireless data LANs. This choice allows the wireless resource in a cell to be intelligently allocated amongst various ATM virtual circuits according to their quality of service requirements. But an efficient implementation of ATM in a wireless environment requires a proper mobile network architecture. In particular, the wireless link and medium-access layers need to be cognizant of the ATM traffic, while the ATM layers need to be cognizant of the mobility enabled by the wireless layers. This paper presents an overview of SWAN's network architecture, briefly discusses the issues in making ATM mobile and wireless, and describes initial multimedia applications for SWAN.

  6. Work of scientific and technological information under network environment

    International Nuclear Information System (INIS)

    Chen Yingxi; Huang Daifu; Yang Lifeng

    2010-01-01

    With the development of internet and information technology, the work of scientific and technological information is faced with great challenge. This article expounds the new changes of scientific and technological information in enterprise under network environment by giving a minute description on the situation the work faced and characteristic of the work. Not only does it carry out enthusiastic discussion upon problems which are present in the work of scientific and technological information in the company, but puts forward proposals and specific measures as well. Service theory is also offered by adjusting and reforming the resources construction, service ways and the job of providing contents. We should take vigorous action to the research work of scientific and technological information, changing the information directional service into knowledge providing service. (authors)

  7. Unification of Information Security Policies for Network Security Solutions

    Directory of Open Access Journals (Sweden)

    D.S. Chernyavskiy

    2012-03-01

    Full Text Available Diversity of command languages on network security solutions’ (NSS interfaces causes problems in a process of information security policy (ISP deployment. Unified model for security policy representation and implementation in NSS could aid to avoid such problems and consequently enhance efficiency of the process. The proposed solution is Unified language for network security policy (ULNSP. The language is based on formal languages theory, and being coupled with its translator, ULNSP makes it possible to formalize and implement ISP independently of particular NSS.

  8. The Deep Space Network information system in the year 2000

    Science.gov (United States)

    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.

  9. Network Inference and Maximum Entropy Estimation on Information Diagrams

    Czech Academy of Sciences Publication Activity Database

    Martin, E.A.; Hlinka, Jaroslav; Meinke, A.; Děchtěrenko, Filip; Tintěra, J.; Oliver, I.; Davidsen, J.

    2017-01-01

    Roč. 7, č. 1 (2017), č. článku 7062. ISSN 2045-2322 R&D Projects: GA ČR GA13-23940S; GA MZd(CZ) NV15-29835A Grant - others:GA MŠk(CZ) LO1611 Institutional support: RVO:67985807 Keywords : complex networks * mutual information * entropy maximization * fMRI Subject RIV: BD - Theory of Information OBOR OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Impact factor: 4.259, year: 2016

  10. 75 FR 55360 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Science.gov (United States)

    2010-09-10

    ... NATIONAL SCIENCE FOUNDATION Networking and Information Technology Research and Development (NITRD... Information Technology Research and Development (NITRD). ACTION: Notice, request for public comment. FOR..., the National Coordination Office for Networking and Information Technology Research and Development...

  11. The Networking and Information Technology Research and Development NITRD Program 2012 Strategic Plan

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — Information technology IT computers, wired and wireless digital networks, electronic data and information, IT devices and systems, and software applications?today...

  12. Protecting against cyber threats in networked information systems

    Science.gov (United States)

    Ertoz, Levent; Lazarevic, Aleksandar; Eilertson, Eric; Tan, Pang-Ning; Dokas, Paul; Kumar, Vipin; Srivastava, Jaideep

    2003-07-01

    This paper provides an overview of our efforts in detecting cyber attacks in networked information systems. Traditional signature based techniques for detecting cyber attacks can only detect previously known intrusions and are useless against novel attacks and emerging threats. Our current research at the University of Minnesota is focused on developing data mining techniques to automatically detect attacks against computer networks and systems. This research is being conducted as a part of MINDS (Minnesota Intrusion Detection System) project at the University of Minnesota. Experimental results on live network traffic at the University of Minnesota show that the new techniques show great promise in detecting novel intrusions. In particular, during the past few months our techniques have been successful in automatically identifying several novel intrusions that could not be detected using state-of-the-art tools such as SNORT.

  13. Role of information and communication networks in malaria survival

    Directory of Open Access Journals (Sweden)

    Marathe Achla

    2007-10-01

    Full Text Available Abstract Background Quite often symptoms of malaria go unrecognized or untreated. According to the Multilateral Initiative on Malaria, 70% of the malaria cases that are treated at home are mismanaged. Up to 82% of all malaria episodes in sub-Saharan Africa are treated outside the formal health sector. Fast and appropriate diagnosis and treatment of malaria is extremely important in reducing morbidity and mortality. Method Data from 70 different countries is pooled together to construct a panel dataset of health and socio-economic variables for a time span of (1960–2004. The generalized two-stage least squares and panel data models are used to investigate the impact of information and communication network (ICN variables on malaria death probability. The intensity of ICN is represented by the number of telephone main lines per 1,000 people and the number of television sets per 1,000 people. Results The major finding is that the intensity of ICN is associated with reduced probability of deaths of people that are clinically identified as malaria infected. The results are robust for both indicators i.e. interpersonal and mass communication networks and for all model specifications examined. Conclusion The results suggest that information and communication networks can substantially scale up the effectiveness of the existing resources for malaria prevention. Resources spent in preventing malaria are far less than needed. Expanded information and communication networks will widen the avenues for community based "participatory development", that encourages the use of local information, knowledge and decision making. Timely information, immediate care and collective knowledge based treatment can be extremely important in reducing child mortality and achieving the millennium development goal.

  14. Optimal information transfer in enzymatic networks: A field theoretic formulation

    Science.gov (United States)

    Samanta, Himadri S.; Hinczewski, Michael; Thirumalai, D.

    2017-07-01

    Signaling in enzymatic networks is typically triggered by environmental fluctuations, resulting in a series of stochastic chemical reactions, leading to corruption of the signal by noise. For example, information flow is initiated by binding of extracellular ligands to receptors, which is transmitted through a cascade involving kinase-phosphatase stochastic chemical reactions. For a class of such networks, we develop a general field-theoretic approach to calculate the error in signal transmission as a function of an appropriate control variable. Application of the theory to a simple push-pull network, a module in the kinase-phosphatase cascade, recovers the exact results for error in signal transmission previously obtained using umbral calculus [Hinczewski and Thirumalai, Phys. Rev. X 4, 041017 (2014), 10.1103/PhysRevX.4.041017]. We illustrate the generality of the theory by studying the minimal errors in noise reduction in a reaction cascade with two connected push-pull modules. Such a cascade behaves as an effective three-species network with a pseudointermediate. In this case, optimal information transfer, resulting in the smallest square of the error between the input and output, occurs with a time delay, which is given by the inverse of the decay rate of the pseudointermediate. Surprisingly, in these examples the minimum error computed using simulations that take nonlinearities and discrete nature of molecules into account coincides with the predictions of a linear theory. In contrast, there are substantial deviations between simulations and predictions of the linear theory in error in signal propagation in an enzymatic push-pull network for a certain range of parameters. Inclusion of second-order perturbative corrections shows that differences between simulations and theoretical predictions are minimized. Our study establishes that a field theoretic formulation of stochastic biological signaling offers a systematic way to understand error propagation in

  15. A hybrid personalized data recommendation approach for geoscience data sharing

    Science.gov (United States)

    WANG, M.; Wang, J.

    2016-12-01

    Recommender systems are effective tools helping Internet users overcome information overloading. The two most widely used recommendation algorithms are collaborating filtering (CF) and content-based filtering (CBF). A number of recommender systems based on those two algorithms were developed for multimedia, online sells, and other domains. Each of the two algorithms has its advantages and shortcomings. Hybrid approaches that combine these two algorithms are better choices in many cases. In geoscience data sharing domain, where the items (datasets) are more informative (in space and time) and domain-specific, no recommender system is specialized for data users. This paper reports a dynamic weighted hybrid recommendation algorithm that combines CF and CBF for geoscience data sharing portal. We first derive users' ratings on items with their historical visiting time by Jenks Natural Break. In the CBF part, we incorporate the space, time, and subject information of geoscience datasets to compute item similarity. Predicted ratings were computed with k-NN method separately using CBF and CF, and then combined with weights. With training dataset we attempted to find the best model describing ideal weights and users' co-rating numbers. A logarithmic function was confirmed to be the best model. The model was then used to tune the weights of CF and CBF on user-item basis with test dataset. Evaluation results show that the dynamic weighted approach outperforms either solo CF or CBF approach in terms of Precision and Recall.

  16. Resistance and Security Index of Networks: Structural Information Perspective of Network Security

    Science.gov (United States)

    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

  17. Resistance and Security Index of Networks: Structural Information Perspective of Network Security.

    Science.gov (United States)

    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.

  18. Resistance and Security Index of Networks: Structural Information Perspective of Network Security

    Science.gov (United States)

    Li, Angsheng; Hu, Qifu; Liu, Jun; Pan, Yicheng

    2016-06-01

    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.

  19. Information dynamics algorithm for detecting communities in networks

    Science.gov (United States)

    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.

  20. Information spread in networks: Games, optimal control, and stabilization

    Science.gov (United States)

    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

  1. Processing of chromatic information in a deep convolutional neural network.

    Science.gov (United States)

    Flachot, Alban; Gegenfurtner, Karl R

    2018-04-01

    Deep convolutional neural networks are a class of machine-learning algorithms capable of solving non-trivial tasks, such as object recognition, with human-like performance. Little is known about the exact computations that deep neural networks learn, and to what extent these computations are similar to the ones performed by the primate brain. Here, we investigate how color information is processed in the different layers of the AlexNet deep neural network, originally trained on object classification of over 1.2M images of objects in their natural contexts. We found that the color-responsive units in the first layer of AlexNet learned linear features and were broadly tuned to two directions in color space, analogously to what is known of color responsive cells in the primate thalamus. Moreover, these directions are decorrelated and lead to statistically efficient representations, similar to the cardinal directions of the second-stage color mechanisms in primates. We also found, in analogy to the early stages of the primate visual system, that chromatic and achromatic information were segregated in the early layers of the network. Units in the higher layers of AlexNet exhibit on average a lower responsivity for color than units at earlier stages.

  2. Visual sensory networks and effective information transfer in animal groups.

    Science.gov (United States)

    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. Copyright © 2013 Elsevier Ltd. All rights reserved.

  3. Information processing by networks of quantum decision makers

    Science.gov (United States)

    Yukalov, V. I.; Yukalova, E. P.; Sornette, D.

    2018-02-01

    We suggest a model of a multi-agent society of decision makers taking decisions being based on two criteria, one is the utility of the prospects and the other is the attractiveness of the considered prospects. The model is the generalization of quantum decision theory, developed earlier for single decision makers realizing one-step decisions, in two principal aspects. First, several decision makers are considered simultaneously, who interact with each other through information exchange. Second, a multistep procedure is treated, when the agents exchange information many times. Several decision makers exchanging information and forming their judgment, using quantum rules, form a kind of a quantum information network, where collective decisions develop in time as a result of information exchange. In addition to characterizing collective decisions that arise in human societies, such networks can describe dynamical processes occurring in artificial quantum intelligence composed of several parts or in a cluster of quantum computers. The practical usage of the theory is illustrated on the dynamic disjunction effect for which three quantitative predictions are made: (i) the probabilistic behavior of decision makers at the initial stage of the process is described; (ii) the decrease of the difference between the initial prospect probabilities and the related utility factors is proved; (iii) the existence of a common consensus after multiple exchange of information is predicted. The predicted numerical values are in very good agreement with empirical data.

  4. PREFACE: Complex Networks: from Biology to Information Technology

    Science.gov (United States)

    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

  5. Report on Asian Environment Information Network; 'Asia kankyo joho network' ni kansuru hokokusho

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-03-01

    The goal is the construction of Asian Environment Information Network (AEInet) in accordance with a contract signed between Indonesia's LIPI (Indonesian Institute of Science) and NEDO under NEDO's Research Cooperation Project Concerning the Development of Environment Measuring Laser Radar (LR). The network is so designed and constituted as to operate on a private line between Indonesia and Japan via IP (Internet protocol) and to enable the exchange on the Internet network of the data collected/analyzed by the Indonesian LR system and of articles of e-mail between scientists of the two countries. The AEInet will be utilized for the collection/analysis of LR-collected data; exchange of observed data and the result of processing; provision of support to environment information scientists in exchanging e-mail and information; and the search of databases for the implementation of the project. In this paper, the outline and functions of the system, network system design, WWW server construction, network operating status, joint researches with Indonesia, etc., are described. (NEDO)

  6. Professional Development Opportunities for Two-Year College Geoscience Faculty: Issues, Opportunities, and Successes

    Science.gov (United States)

    Baer, E. M.; Macdonald, H.; McDaris, J. R.; Granshaw, F. D.; Wenner, J. M.; Hodder, J.; van der Hoeven Kraft, K.; Filson, R. H.; Guertin, L. A.; Wiese, K.

    2011-12-01

    Two-year colleges (2YCs) play a critical role in geoscience education in the United States. Nearly half of the undergraduate students who take introductory geoscience do so at a 2YC. With awide reach and diverse student populations, 2YCs may be key to producing a well-trained, diverse and sufficiently large geoscience workforce. However, faculty at 2YCs often face many barriers to professional development including lack of financial resources, heavy and inflexible teaching loads, lack of awareness of opportunities, and few professional development resources/events targeted at their needs. As an example, at the 2009 GSA meeting in Portland, fewer than 80 of the 6500 attendees were from community colleges, although this was more than twice the 2YC faculty attendance the previous year. Other issues include the isolation described by many 2YC geoscience faculty who may be the only full time geoscientist on a campus and challenges faced by adjunct faculty who may have even fewer opportunities for professional development and networking with other geoscience faculty. Over the past three years we have convened several workshops and events for 2YC geoscience faculty including technical sessions and a workshop on funding opportunities for 2YC faculty at GSA annual meetings, a field trip and networking event at the fall AGU meeting, a planning workshop that examined the role of 2YCs in geoscience education and in broadening participation in the geosciences, two workshops supporting use of the 'Math You Need, When You Need It' educational materials that included a majority of 2YC faculty, and marine science summer institutes offered by COSEE-Pacific Partnerships for 2YC faculty. Our experience indicates that 2YC faculty desire professional development opportunities when the experience is tailored to the needs and character of their students, programs, and institutions. The content of the professional development opportunity must be useful to 2YC faculty -workshops and

  7. Modeling information diffusion in time-varying community networks

    Science.gov (United States)

    Cui, Xuelian; Zhao, Narisa

    2017-12-01

    Social networks are rarely static, and they typically have time-varying network topologies. A great number of studies have modeled temporal networks and explored social contagion processes within these models; however, few of these studies have considered community structure variations. In this paper, we present a study of how the time-varying property of a modular structure influences the information dissemination. First, we propose a continuous-time Markov model of information diffusion where two parameters, mobility rate and community attractiveness, are introduced to address the time-varying nature of the community structure. The basic reproduction number is derived, and the accuracy of this model is evaluated by comparing the simulation and theoretical results. Furthermore, numerical results illustrate that generally both the mobility rate and community attractiveness significantly promote the information diffusion process, especially in the initial outbreak stage. Moreover, the strength of this promotion effect is much stronger when the modularity is higher. Counterintuitively, it is found that when all communities have the same attractiveness, social mobility no longer accelerates the diffusion process. In addition, we show that the local spreading in the advantage group has been greatly enhanced due to the agglomeration effect caused by the social mobility and community attractiveness difference, which thus increases the global spreading.

  8. A distributed name resolution system in information centric networks

    Science.gov (United States)

    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.

  9. Humanitarian Information Management Network Effectiveness: An Analysis at the Organizational and Network Levels

    Science.gov (United States)

    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…

  10. Conceptual Framework for Developing a Diabetes Information Network.

    Science.gov (United States)

    Riazi, Hossein; Langarizadeh, Mostafa; Larijani, Bagher; Shahmoradi, Leila

    2016-06-01

    To provide a conceptual framework for managing diabetic patient care, and creating an information network for clinical research. 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. 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, Pconceptual framework. The questionnaires were returned by 10 clinicians. Each requirement item was labeled as essential, semi-essential, or non

  11. Nurturing a growing field: Computers & Geosciences

    Science.gov (United States)

    Mariethoz, Gregoire; Pebesma, Edzer

    2017-10-01

    Computational issues are becoming increasingly critical for virtually all fields of geoscience. This includes the development of improved algorithms and models, strategies for implementing high-performance computing, or the management and visualization of the large datasets provided by an ever-growing number of environmental sensors. Such issues are central to scientific fields as diverse as geological modeling, Earth observation, geophysics or climatology, to name just a few. Related computational advances, across a range of geoscience disciplines, are the core focus of Computers & Geosciences, which is thus a truly multidisciplinary journal.

  12. Developing Short Films of Geoscience Research

    Science.gov (United States)

    Shipman, J. S.; Webley, P. W.; Dehn, J.; Harrild, M.; Kienenberger, D.; Salganek, M.

    2015-12-01

    In today's prevalence of social media and networking, video products are becoming increasingly more useful to communicate research quickly and effectively to a diverse audience, including outreach activities as well as within the research community and to funding agencies. Due to the observational nature of geoscience, researchers often take photos and video footage to document fieldwork or to record laboratory experiments. Here we present how researchers can become more effective storytellers by collaborating with filmmakers to produce short documentary films of their research. We will focus on the use of traditional high-definition (HD) camcorders and HD DSLR cameras to record the scientific story while our research topic focuses on the use of remote sensing techniques, specifically thermal infrared imaging that is often used to analyze time varying natural processes such as volcanic hazards. By capturing the story in the thermal infrared wavelength range, in addition to traditional red-green-blue (RGB) color space, the audience is able to experience the world differently. We will develop a short film specifically designed using thermal infrared cameras that illustrates how visual storytellers can use these new tools to capture unique and important aspects of their research, convey their passion for earth systems science, as well as engage and captive the viewer.

  13. [Linking: relationships between health professionals in the informal health networks].

    Science.gov (United States)

    Sarradon-Eck, A; Vega, A; Faure, M; Humbert-Gaudart, A; Lustman, M

    2008-07-01

    During the last years, the french health system has been developing formal health networks. So, it was necessary to study informal health networks as networks. More precisely, we studied the nature of relationships between various stakeholders around general practionners wich are commonly considering as the stakeholder of the health system private sector. Fieldwork (ethnography based on direct observations and interviews) was conducted between October 2002 and april 2004, in the South-East of France. Ten monographs of general practioner's offices were achieved in a rural area; then, we achieved fieldwork of the informal health networks identified. There is a cultural frame wich is common to all private professionals. This frame includes a triple ideal (teamwork built up the hospital model, independance, and an relational approach with patients). This frame does not square with the real practices. In fact, regulation mechanisms preserve the balance of relashionships between professionnal groups, by restricting/promoting exchanges and complex alliance strategies. These mecanisms include: (1) a few professionnal's rule as disponibility (to the patients and to the professionnals), as communication about patient, as patient's reference, as obligation to communicate between professionals; (2) some constraints such as territory superposition and competition with other professional groups; (3) some needs for: rileiving (of emotions and worries connected to work), sharing (decisions, responsabilities), of delegation (medical treatment, practices), protection against social and legal risk through the creation of trust relationships. These trust relationships are based on several logics (affinity, solidarity, similarity). The study shows the major place of the patient who is often the main organizer of his network, and even though he makes an important structuring work between medical staff, and an information transfer (on his diagnosis, on his treatment, and professionals

  14. DOE waste information network: Data management and communications

    International Nuclear Information System (INIS)

    Fore, C.S.

    1986-01-01

    The U.S. Department of Energy's Waste Information Network (WIN) is an integral part of DOE's Hazardous Waste Remedial Actions Program. WIN has played an active role in the national program's mission to identify the magnitude and nature of existing DOE hazardous chemical and mixed radioactive waste streams and inventories and to provide a mechanism for disseminating pertinent information on technology activities. The information systems activity is structured into three key areas: data base development, data analysis, and data dissemination. As a result of this effort, several key data bases have been developed. Data dissemination is important to the use and management of the diversity of information and communication features developed by the program

  15. Controllable quantum information network with a superconducting system

    International Nuclear Information System (INIS)

    Zhang, Feng-yang; Liu, Bao; Chen, Zi-hong; Wu, Song-lin; Song, He-shan

    2014-01-01

    We propose a controllable and scalable architecture for quantum information processing using a superconducting system network, which is composed of current-biased Josephson junctions (CBJJs) as tunable couplers between the two superconducting transmission line resonators (TLRs), each coupling to multiple superconducting qubits (SQs). We explicitly demonstrate that the entangled state, the phase gate, and the information transfer between any two selected SQs can be implemented, respectively. Lastly, numerical simulation shows that our scheme is robust against the decoherence of the system. -- Highlights: •An architecture for quantum information processing is proposed. •The quantum information transfer between any two selected SQs is implemented. •This proposal is robust against the decoherence of the system. •This architecture can be fabricated on a chip down to the micrometer scale

  16. Discussion on the nuclear information resources co-constructing and sharing under network information

    International Nuclear Information System (INIS)

    Wu Yang

    2010-01-01

    During the tenth five-year plan, along with the digitization of information, and the development of information transmission network, the co-construction and sharing of China's nuclear industry information is facing a new development opportunities and challenges. This paper is based on the analysis of the nuclear library status and characteristics, combined of the development process of nuclear information resources over the past 20 years. For the characteristic of information sharing and services in the net environment, the problem in the current co-construction and sharing of nuclear information, and the needs of the future nuclear research and development of nuclear production, this paper forecast the work trends of nuclear information, and gives some countermeasure to strength the development of the co-construction and sharing of nuclear information. (author)

  17. The Central American Network for Disaster and Health Information.

    Science.gov (United States)

    Arnesen, Stacey J; Cid, Victor H; Scott, John C; Perez, Ricardo; Zervaas, Dave

    2007-07-01

    This paper describes an international outreach program to support rebuilding Central America's health information infrastructure after several natural disasters in the region, including Hurricane Mitch in 1998 and two major earthquakes in 2001. The National Library of Medicine joined forces with the Pan American Health Organization/World Health Organization, the United Nations International Strategy for Disaster Reduction, and the Regional Center of Disaster Information for Latin America and the Caribbean (CRID) to strengthen libraries and information centers in Central America and improve the availability of and access to health and disaster information in the region by developing the Central American Network for Disaster and Health Information (CANDHI). Through CRID, the program created ten disaster health information centers in medical libraries and disaster-related organizations in six countries. This project served as a catalyst for the modernization of several medical libraries in Central America. The resulting CANDHI provides much needed electronic access to public health "gray literature" on disasters, as well as access to numerous health information resources. CANDHI members assist their institutions and countries in a variety of disaster preparedness activities through collecting and disseminating information.

  18. An open, interoperable, and scalable prehospital information technology network architecture.

    Science.gov (United States)

    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.

  19. Integrated multimedia information system on interactive CATV network

    Science.gov (United States)

    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.

  20. Inference of financial networks using the normalised mutual information rate

    Science.gov (United States)

    2018-01-01

    In this paper, we study data from financial markets, using the normalised Mutual Information Rate. We show how to use it to infer the underlying network structure of interrelations in the foreign currency exchange rates and stock indices of 15 currency areas. We first present the mathematical method and discuss its computational aspects, and apply it to artificial data from chaotic dynamics and to correlated normal-variates data. We then apply the method to infer the structure of the financial system from the time-series of currency exchange rates and stock indices. In particular, we study and reveal the interrelations among the various foreign currency exchange rates and stock indices in two separate networks, of which we also study their structural properties. Our results show that both inferred networks are small-world networks, sharing similar properties and having differences in terms of assortativity. Importantly, our work shows that global economies tend to connect with other economies world-wide, rather than creating small groups of local economies. Finally, the consistent interrelations depicted among the 15 currency areas are further supported by a discussion from the viewpoint of economics. PMID:29420644

  1. Inference of financial networks using the normalised mutual information rate.

    Science.gov (United States)

    Goh, Yong Kheng; Hasim, Haslifah M; Antonopoulos, Chris G

    2018-01-01

    In this paper, we study data from financial markets, using the normalised Mutual Information Rate. We show how to use it to infer the underlying network structure of interrelations in the foreign currency exchange rates and stock indices of 15 currency areas. We first present the mathematical method and discuss its computational aspects, and apply it to artificial data from chaotic dynamics and to correlated normal-variates data. We then apply the method to infer the structure of the financial system from the time-series of currency exchange rates and stock indices. In particular, we study and reveal the interrelations among the various foreign currency exchange rates and stock indices in two separate networks, of which we also study their structural properties. Our results show that both inferred networks are small-world networks, sharing similar properties and having differences in terms of assortativity. Importantly, our work shows that global economies tend to connect with other economies world-wide, rather than creating small groups of local economies. Finally, the consistent interrelations depicted among the 15 currency areas are further supported by a discussion from the viewpoint of economics.

  2. System for prediction of environmental emergency dose information network system

    International Nuclear Information System (INIS)

    Misawa, Makoto; Nagamori, Fumio

    2009-01-01

    In cases when an accident happens to arise with some risk for emission of a large amount radioactivity from the nuclear facilities, the environmental emergency due to this accident should be predicted rapidly and be informed immediately. The SPEEDI network system for such purpose was completed and now operated by Nuclear Safety Technology Center (NUSTEC) commissioned to do by Ministry of Education, Culture, Sports, Science and Technology, Japan. Fujitsu has been contributing to this project by developing the principal parts of the network performance, by introducing necessary servers, and also by keeping the network in good condition, such as with construction of the system followed by continuous operation and maintenance of the system. Real-time prediction of atmospheric diffusion of radionuclides for nuclear accidents in the world is now available with experimental verification for the real-time emergency response system. Improvement of worldwide version of the SPEEDI network system, accidental discharge of radionuclides with the function of simultaneous prediction for multiple domains and its evaluation is possible. (S. Ohno)

  3. GeoSegmenter: A statistically learned Chinese word segmenter for the geoscience domain

    Science.gov (United States)

    Huang, Lan; Du, Youfu; Chen, Gongyang

    2015-03-01

    Unlike English, the Chinese language has no space between words. Segmenting texts into words, known as the Chinese word segmentation (CWS) problem, thus becomes a fundamental issue for processing Chinese documents and the first step in many text mining applications, including information retrieval, machine translation and knowledge acquisition. However, for the geoscience subject domain, the CWS problem remains unsolved. Although a generic segmenter can be applied to process geoscience documents, they lack the domain specific knowledge and consequently their segmentation accuracy drops dramatically. This motivated us to develop a segmenter specifically for the geoscience subject domain: the GeoSegmenter. We first proposed a generic two-step framework for domain specific CWS. Following this framework, we built GeoSegmenter using conditional random fields, a principled statistical framework for sequence learning. Specifically, GeoSegmenter first identifies general terms by using a generic baseline segmenter. Then it recognises geoscience terms by learning and applying a model that can transform the initial segmentation into the goal segmentation. Empirical experimental results on geoscience documents and benchmark datasets showed that GeoSegmenter could effectively recognise both geoscience terms and general terms.

  4. Automatic physical inference with information maximizing neural networks

    Science.gov (United States)

    Charnock, Tom; Lavaux, Guilhem; Wandelt, Benjamin D.

    2018-04-01

    Compressing large data sets to a manageable number of summaries that are informative about the underlying parameters vastly simplifies both frequentist and Bayesian inference. When only simulations are available, these summaries are typically chosen heuristically, so they may inadvertently miss important information. We introduce a simulation-based machine learning technique that trains artificial neural networks to find nonlinear functionals of data that maximize Fisher information: information maximizing neural networks (IMNNs). In test cases where the posterior can be derived exactly, likelihood-free inference based on automatically derived IMNN summaries produces nearly exact posteriors, showing that these summaries are good approximations to sufficient statistics. In a series of numerical examples of increasing complexity and astrophysical relevance we show that IMNNs are robustly capable of automatically finding optimal, nonlinear summaries of the data even in cases where linear compression fails: inferring the variance of Gaussian signal in the presence of noise, inferring cosmological parameters from mock simulations of the Lyman-α forest in quasar spectra, and inferring frequency-domain parameters from LISA-like detections of gravitational waveforms. In this final case, the IMNN summary outperforms linear data compression by avoiding the introduction of spurious likelihood maxima. We anticipate that the automatic physical inference method described in this paper will be essential to obtain both accurate and precise cosmological parameter estimates from complex and large astronomical data sets, including those from LSST and Euclid.

  5. Information spreading in Delay Tolerant Networks based on nodes' behaviors

    Science.gov (United States)

    Wu, Yahui; Deng, Su; Huang, Hongbin

    2014-07-01

    Information spreading in DTNs (Delay Tolerant Networks) adopts a store-carry-forward method, and nodes receive the message from others directly. However, it is hard to judge whether the information is safe in this communication mode. In this case, a node may observe other nodes' behaviors. At present, there is no theoretical model to describe the varying rule of the nodes' trusting level. In addition, due to the uncertainty of the connectivity in DTN, a node is hard to get the global state of the network. Therefore, a rational model about the node's trusting level should be a function of the node's own observing result. For example, if a node finds k nodes carrying a message, it may trust the information with probability p(k). This paper does not explore the real distribution of p(k), but instead presents a unifying theoretical framework to evaluate the performance of the information spreading in above case. This framework is an extension of the traditional SI (susceptible-infected) model, and is useful when p(k) conforms to any distribution. Simulations based on both synthetic and real motion traces show the accuracy of the framework. Finally, we explore the impact of the nodes' behaviors based on certain special distributions through numerical results.

  6. Summaries of FY 1993 geosciences research

    Energy Technology Data Exchange (ETDEWEB)

    1993-12-01

    The Department of Energy supports research in the geosciences in order to provide a sound foundation of fundamental knowledge in those areas of the geosciences that are germane to the DOE`s many missions. The Geosciences Research Program is supported by the Office of Energy Research. The participants in this program include DOE laboratories, academic institutions, and other governmental agencies. These activities are formalized by a contract or grant between the DOE and the organization performing the work, providing funds for salaries, equipment, research materials, and overhead. The summaries in this document, prepared by the investigators, describe the scope of the individual programs. The Geosciences Research Program includes research in geophysics, geochemistry, resource evaluation, solar-terrestrial interactions, and their subdivisions including earth dynamics, properties of earth materials, rock mechanics, underground imaging, rock-fluid interactions, continental scientific drilling, geochemical transport, solar-atmospheric physics, and modeling, with emphasis on the interdisciplinary areas.

  7. Summaries of physical research in the geosciences

    Energy Technology Data Exchange (ETDEWEB)

    1980-08-01

    The Department of Energy supports research in the geosciences in order to provide a sound underlay of fundamental knowledge in those areas of the earth, atmospheric, and solar/terrestrial sciences that relate to the Department of Energy's many missions. The Division of Engineering, Mathematical and Geosciences, which is a part of the Office of Basic Energy Sciences and comes under the Director of Energy Research, supports under its Geosciences program major Department of Energy laboratories, industry, universities and other governmental agencies. The summaries in this document, prepared by the investigators, describe the overall scope of the individual programs and details of the research performed during 1979-1980. The Geoscience program includes research in geology, petrology, geophysics, geochemistry, hydrology, solar-terrestrial relationships, aeronomy, seismology and natural resource analysis, including the various subdivisions and interdisciplinary areas. All such research is related to the Department's technological needs, either directly or indirectly.

  8. OneGeology - a geoscience exemplar for worldwide cyberinfrastructure capacity-building and scientific innovation

    Science.gov (United States)

    van Daalen, T.; Allison, M. L.

    2012-12-01

    OneGeology is a trail-blazing global initiative that has helped propel the geosciences into the forefront of cyberinfrastructure development with potentially transformative impacts on scientific and technical innovation across broad areas of society. In the five years since its launch, 117 nations, through their Geological Surveys have signed the OneGeology protocols and nearly half are serving up national geological maps as Web services at varying scales, with the remainder developing those capabilities. In federal systems, states and provinces are increasingly adding higher resolution spatial data to the national contributions to the global system. The OneGeology concept of a distributed, open-source, Web-service based network has become the archetype for transforming data into knowledge and innovation. This is not only revolutionizing the geosciences but offering opportunities for governments to use these cutting-edge capabilities for broad innovation and capacity building. Across the globe, communities are facing the same four challenges: put simply, how do we best make data discoverable, shareable, viewable and downloadable, so that the user also has access to consistent data at a national and continental level? The principle of managing scientific and societal data and knowledge where they are generated and are best understood is well established in the geoscience community and can be scaled up and transferred to other domains and sectors of society. The distributed nature of most data sources means the complementary delivery mechanism of Web map services has become equally prevalent in the spatial data community. Together these factors are driving a world-wide revolution in the way spatial information is being disseminated to its users. Industry, academia, and governments are quickly adopting and adapting to this new paradigm and discovering that very modest investments in this emerging field are reaping tremendous returns in national capacity and triggering

  9. Impacting earthquake science and geoscience education: Educational programming to earthquake relocation

    Science.gov (United States)

    Carrick, Tina Louise

    This dissertation is comprised of four studies: three related to research on geoscience education and another seismological study of the South Island of New Zealand. The geoscience education research is grounded in 10 years of data collection and its implications for best practices for recruitment and retention of underrepresented minority students into higher education in the geosciences. The seismological component contains results from the relocation of earthquakes from the 2009 Dusky Sound Mw 7.8 event, South Island, New Zealand. In recent years, many have cited a major concern that U.S. is not producing enough STEM graduates to fit the forecasted economic need. This situation is exacerbated by the fact that underrepresented minorities are becoming a growing portion of the population, and people in these groups enter STEM careers at rates much smaller than their proportion of the populations. Among the STEM disciplines the Geosciences are the worst at attracting young people from underrepresented minorities. This dissertation reports on results the Pathways program at the University of Texas at El Paso Pathways which sought to create a geoscience recruitment and training network in El Paso, Texas to increase the number of Hispanic Americans students to attain higher degrees and increase the awareness of the geosciences from 2002-2012. Two elements of the program were a summer program for high school students and an undergraduate research program conducted during the academic year, called PREP. Data collected from pre- and post-surveys from the summer program showed statistically significant positive changes in attitudes towards the geosciences. Longitudinal data shows a strong positive correlation of the program with retention of participants in the geoscience pipeline. Results from the undergraduate research program show that it produced far more women and minority geoscience professionals than national norms. Combination of the institutional data, focus

  10. Detection of information security violations with the aid of information and telecommunication networks monitoring

    International Nuclear Information System (INIS)

    Kovalev, D.O.

    2011-01-01

    Author has studied the methods and algorithms used in the monitoring of information security (IS), the distribution law of the number of IS messages, has developed a method and an algorithm for detecting IS violations in the message flow, a technique for generating the consolidated evaluation of results of monitoring the data and telecommunications network information security. Practical recommendations for improving the IS monitoring have been elaborated [ru

  11. Creating a virtual network of communication of information in view on the regime of information

    OpenAIRE

    Luiz Antonio Dias Leal; Isa Freire; Rosali Fernandez de Souza

    2013-01-01

    Presents the results of research that uses the concept of 'information system' Gonzalez Gomez to identify elements and actors within the domain of a virtual network of information communication. The research was conducted under the Program Good Agricultural Practices - Beef Cattle at the Brazilian Agricultural Research Corporation - EMBRAPA, which aims to make systems for beef cattle production more profitable and competitive, ensuring the supply of safe food, from of sustainable production s...

  12. Vaccine Hesitancy and Online Information: The Influence of Digital Networks.

    Science.gov (United States)

    Getman, Rebekah; Helmi, Mohammad; Roberts, Hal; Yansane, Alfa; Cutler, David; Seymour, Brittany

    2017-12-01

    This article analyzes the digital childhood vaccination information network for vaccine-hesitant parents. The goal of this study was to explore the structure and influence of vaccine-hesitant content online by generating a database and network analysis of vaccine-relevant content. We used Media Cloud, a searchable big-data platform of over 550 million stories from 50,000 media sources, for quantitative and qualitative study of an online media sample based on keyword selection. We generated a hyperlink network map and measured indegree centrality of the sources and vaccine sentiment for a random sample of 450 stories. 28,122 publications from 4,817 sources met inclusion criteria. Clustered communities formed based on shared hyperlinks; communities tended to link within, not among, each other. The plurality of information was provaccine (46.44%, 95% confidence interval [39.86%, 53.20%]). The most influential sources were in the health community (National Institutes of Health, Centers for Disease Control and Prevention) or mainstream media ( New York Times); some user-generated sources also had strong influence and were provaccine (Wikipedia). The vaccine-hesitant community rarely interacted with provaccine content and simultaneously used primary provaccine content within vaccine-hesitant narratives. The sentiment of the overall conversation was consistent with scientific evidence. These findings demonstrate an online environment where scientific evidence online drives vaccine information outside of the vaccine-hesitant community but is also prominently used and misused within the robust vaccine-hesitant community. Future communication efforts should take current context into account; more information may not prevent vaccine hesitancy.

  13. Research on Information Sharing Mechanism of Network Organization Based on Evolutionary Game

    Science.gov (United States)

    Wang, Lin; Liu, Gaozhi

    2018-02-01

    This article first elaborates the concept and effect of network organization, and the ability to share information is analyzed, secondly introduces the evolutionary game theory, network organization for information sharing all kinds of limitations, establishes the evolutionary game model, analyzes the dynamic evolution of network organization of information sharing, through reasoning and evolution. The network information sharing by the initial state and two sides of the game payoff matrix of excess profits and information is the information sharing of cost and risk sharing are the influence of network organization node information sharing decision.

  14. Multirate control with incomplete information over Profibus-DP network

    Science.gov (United States)

    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.

  15. CRITICAL INFORMATION INFRASTRUCTURE SECURITY - NETWORK INTRUSION DETECTION SYSTEMS

    Directory of Open Access Journals (Sweden)

    Cristea DUMITRU

    2011-12-01

    Full Text Available Critical Information Infrastructure security will always be difficult to ensure, just because of the features that make it irreplaceable tor other critical infrastructures normal operation. It is decentralized, interconnected interdependent, controlled by multiple actors (mainly private and incorporating diverse types of technologies. It is almost axiomatic that the disruption of the Critical Information Infrastructure affects systems located much farther away, and the cyber problems have direct consequences on the real world. Indeed the Internet can be used as a multiplier in order to amplify the effects of an attack on some critical infrastructures. Security challenges increase with the technological progress. One of the last lines of defense which comes to complete the overall security scheme of the Critical Information Infrastructure is represented by the Network Intrusion Detection Systems.

  16. Phylogenetically informed logic relationships improve detection of biological network organization

    Science.gov (United States)

    2011-01-01

    Background A "phylogenetic profile" refers to the presence or absence of a gene across a set of organisms, and it has been proven valuable for understanding gene functional relationships and network organization. Despite this success, few studies have attempted to search beyond just pairwise relationships among genes. Here we search for logic relationships involving three genes, and explore its potential application in gene network analyses. Results Taking advantage of a phylogenetic matrix constructed from the large orthologs database Roundup, we invented a method to create balanced profiles for individual triplets of genes that guarantee equal weight on the different phylogenetic scenarios of coevolution between genes. When we applied this idea to LAPP, the method to search for logic triplets of genes, the balanced profiles resulted in significant performance improvement and the discovery of hundreds of thousands more putative triplets than unadjusted profiles. We found that logic triplets detected biological network organization and identified key proteins and their functions, ranging from neighbouring proteins in local pathways, to well separated proteins in the whole pathway, and to the interactions among different pathways at the system level. Finally, our case study suggested that the directionality in a logic relationship and the profile of a triplet could disclose the connectivity between the triplet and surrounding networks. Conclusion Balanced profiles are superior to the raw profiles employed by traditional methods of phylogenetic profiling in searching for high order gene sets. Gene triplets can provide valuable information in detection of biological network organization and identification of key genes at different levels of cellular interaction. PMID:22172058

  17. Generation of a superposition of odd photon number states for quantum information networks

    DEFF Research Database (Denmark)

    Neergaard-Nielsen, Jonas Schou; Nielsen, B.; Hettich, C.

    2006-01-01

    Quantum information networks, quantum memories, quantum repeaters, linear optics quantum computers Udgivelsesdato: 25 August......Quantum information networks, quantum memories, quantum repeaters, linear optics quantum computers Udgivelsesdato: 25 August...

  18. Why common carrier and network neutrality principles apply to the Nationwide Health Information Network (NWHIN).

    Science.gov (United States)

    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.

  19. Tube Maps for Effective Geoscience Career Planning and Development

    Science.gov (United States)

    Keane, C. M.; Wilson, C. E.; Houlton, H. R.

    2013-12-01

    One of the greatest challenges faced by students and new graduates is the advice that they must take charge of their own career planning. This is ironic as new graduates are least prepared to understand the full spectrum of options and the potential pathways to meeting their personal goals. We will examine the rationale, tools, and utility of an approach aimed at assisting individuals in career planning nicknamed a "tube map." In particular, this approach has been used in support of geoscientist recruitment and career planning in major European energy companies. By utilizing information on the occupational sequences of geoscience professionals within an organization or a community, a student or new hire can quickly understand the proven pathways towards their eventual career goals. The tube map visualizes the career pathways of individuals in the form of a subway map, with specific occupations represented as "stations" and pathway interconnections represented as "transfers." The major application of this approach in the energy sector was to demonstrate both the logical career pathways to either senior management or senior technical positions, as well as present the reality that time must be invested in "lower level" jobs, thereby nullifying a persistent overinflated sense of the speed of upward mobility. To this end, we have run a similar occupational analysis on several geoscience employers, including one with somewhat non-traditional geoscience positions and another that would be considered a very traditional employer. We will examine the similarities and differences between the resulting 'tube maps,' critique the tools used to create the maps, and assess the utility of the product in career development planning for geoscience students and new hires.

  20. OneGeology- A Global Geoscience Data Platform

    Science.gov (United States)

    Harrison, M.; Komac, M.; Duffy, T.; Robida, F.; Allison, M. L.

    2014-12-01

    OneGeology (1G) is an initiative of Geological Survey Organisations (GSOs) around the globe that dates back to 2007. Since then, OneGeology has been a leader in developing geological online map data using GeoSciML- an international interoperability standard for the exchange of geological data. Increased use of this new standard allows geological data to be shared and integrated across the planet among organisations. One of the goals of OneGeology is an exchange of know-how with the developing world, shortening the digital learning curve. In autumn 2013 OneGeology was transformed into a Consortium with a clearly defined governance structure, making it more transparent, its operation more sustainable and its membership more open where in addition to GSOs, other types of organisations that create and use geoscience data can join and contribute. The next stage of the OneGeology initiative is focused on increasing the openness and richness of that data from individual countries to create a multi-thematic global geological data resource about the rocks beneath our feet. Authoritative geoscience information will help to mitigate natural disasters, explore for resources (water, minerals and energy) and identify risks to human health on a planetary scale with the aim of 1G to increase awareness of the geosciences and their relevance among professionals and general public- to be part of the solution. We live in a digital world that enables prompt access to vast amounts of open access data. Understanding our world, the geology beneath our feet and environmental challenges related to geology calls for accessibility of geoscience data and the OneGeology Portal (portal.onegeology.org) is the place to find them.

  1. Global information network on chemicals (GINC) and its Asian component

    International Nuclear Information System (INIS)

    Kaminuma, Tsuguchika; Nakata, Kotoko

    2003-01-01

    The Global Information Network on Chemicals (GINC) is an effort to build a global information network that links international, national, and other organizations working for the safe management of chemicals in order to exchange information and improve communications. The project was originally proposed in 1993 by one of the authors then at the National Institute of Health Sciences (NIHS) of Japan to the International Program on Chemical Safety (IPCS), which is a joint project of World Health Organization (WHO), International Labor Organization (ILO), and United Nations Environment Program (UNEP). The base support system was first implemented at NIHS using the Internet/World Wide Web (WWW) technology in 1995. The project was then endorsed by the Intergovernmental Forum on Chemical Safety (IFCS) and was adopted by the Inter-Organization Program for the Sound Management of Chemicals (IOMC). However, the base system (http://www.nihs.go.jp/GINC/index.html) has been developed and maintained solely by the NIHS group under the support of the Ministry of Health and Welfare (MHW), Japan. Asia, particularly East Asia and the Pacific region, was chosen as the feasibility study region for this project. During the period from December 1994 to July 2002, NIHS hosted eight meetings on this project held in Tokyo

  2. Scheduling Data Access in Smart Grid Networks Utilizing Context Information

    DEFF Research Database (Denmark)

    Findrik, Mislav; Grønbæk, Jesper; Olsen, Rasmus Løvenstein

    2014-01-01

    Current electrical grid is facing increased penetration of intermittent energy resources, in particular wind and solar energy. Fast variability of the power supply due to renewable energy resources can be balanced out using different energy storage systems or shifting the loads. Efficiently...... managing this fast flexibility requires two-way data exchange between a controller and sensors/meters via communication networks. In this paper we investigated scheduling of data collection utilizing meta-data from sensors that are describing dynamics of information. We show the applicability...

  3. Role Models for boosting mobility of women scientists in geosciences

    Science.gov (United States)

    Avellis, Giovanna; Theodoridou, Magdalini

    2017-04-01

    More and more women today are choosing to study science and undertake scientific careers. Likewise mobility during one's career is increasingly important as research tends to be undertaken via international collaboration, often within networks based on the researchers mobility, especially in geosciences. We have developed an ebook on Role Models for boosting mobility of women scientists to showcase the careers of women scientists who have undertaken mobility during their careers. It is hoped that their stories will provide young women who are just starting out in their science careers with inspirational role models, and that these stories give them realistic information about career opportunities: many of them are women scientists in geosciences. These are not famous scientists, but rather real examples of people who express all the passion of the world of science. It is hoped that reading about successful scientists who have achieved a healthy work-life balance while moving to new locations will be particularly helpful for those individuals considering mobility in their own career. The ebook is available to be used by programs that support the development of systematic approaches to increasing the representation and advancement of women in science, engineering and technology, since mobility plays a key role in these programs. The stories contained herein will be useful to mentoring or advising program focusing on career, networking opportunities, discussion and grants opportunities in conjunction with mobility. There is still a gap between female graduates and the pool of female job applicants - even though the proportion of female graduate students and postdocs in most scientific fields is higher today than it is ever been. Therefore we suggest that focus should be placed on examining the real challenges which women need to overcome, particularly when "mobility" comes into play. Role models who have overcome these challenges will continue to play an important

  4. Instrumentation for Scientific Computing in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics.

    Science.gov (United States)

    1987-10-01

    include Security Classification) Instrumentation for scientific computing in neural networks, information science, artificial intelligence, and...instrumentation grant to purchase equipment for support of research in neural networks, information science, artificail intellignece , and applied mathematics...in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics Contract AFOSR 86-0282 Principal Investigator: Stephen

  5. "YouTube Geology" - Increasing Geoscience Visibility Through Short Films

    Science.gov (United States)

    Piispa, E. J.; Lerner, G. A.

    2016-12-01

    Researchers have the responsibility to communicate their science to a broad audience: scientists, non-scientist, young and old. Effective ways of reaching these groups include using pathways that genuinely spark interest in the target audience. Communication techniques should evolve as the means of communication evolve. Here we talk about our experiences using short films to increase geoscience visibility and appreciation. At a time when brevity and quick engagement are vital to capturing people's attention, creating videos that fit popular formats is an effective way to draw and hold people's interest, and spreading these videos on popular sites is a good way to reach a non-academic audience. Creating videos that are fun, exciting, and catchy in order to initially increase awareness and interest is equally important as the educational content. The visual medium can also be powerful way to make complex scientific concepts seem less intimidating. We have experimented with this medium of geoscience communication by creating a number of short films that target a variety of audiences: short summaries of research topics, mock movie trailers, course advertisements, fieldwork highlight reels and geology lessons for elementary school children. Our two rules of thumb are to put the audience first and use style as a vital element. This allows for the creation of films that are more engaging and often less serious than standard informational (and longer-format) videos. Science does not need to be dry and dull - it can be humorous and entertaining while remaining highly accurate. Doing these short films has changed our own mindset as well - thinking about what to film while doing research helps keep the practical applications of our research in focus. We see a great deal of potential for collaboration between geoscientists and amateur or professional filmmakers creating hip and edgy videos that further raise awareness and interest. People like movies. We like movies. We like

  6. Starting Point: Linking Methods and Materials for Introductory Geoscience Courses

    Science.gov (United States)

    Manduca, C. A.; MacDonald, R. H.; Merritts, D.; Savina, M.

    2004-12-01

    Introductory courses are one of the most challenging teaching environments for geoscience faculty. Courses are often large, students have a wide variety of background and skills, and student motivation can include completing a geoscience major, preparing for a career as teacher, fulfilling a distribution requirement, and general interest. The Starting Point site (http://serc.carleton.edu/introgeo/index.html) provides help for faculty teaching introductory courses by linking together examples of different teaching methods that have been used in entry-level courses with information about how to use the methods and relevant references from the geoscience and education literature. Examples span the content of geoscience courses including the atmosphere, biosphere, climate, Earth surface, energy/material cycles, human dimensions/resources, hydrosphere/cryosphere, ocean, solar system, solid earth and geologic time/earth history. Methods include interactive lecture (e.g think-pair-share, concepTests, and in-class activities and problems), investigative cases, peer review, role playing, Socratic questioning, games, and field labs. A special section of the site devoted to using an Earth System approach provides resources with content information about the various aspects of the Earth system linked to examples of teaching this content. Examples of courses incorporating Earth systems content, and strategies for designing an Earth system course are also included. A similar section on Teaching with an Earth History approach explores geologic history as a vehicle for teaching geoscience concepts and as a framework for course design. The Starting Point site has been authored and reviewed by faculty around the country. Evaluation indicates that faculty find the examples particularly helpful both for direct implementation in their classes and for sparking ideas. The help provided for using different teaching methods makes the examples particularly useful. Examples are chosen from

  7. THE INFORMATIONAL SYSTEM FOR THE COLLABORATIVE LOGISTICS NETWORKS

    Directory of Open Access Journals (Sweden)

    NAIANA ŢARCĂ

    2011-01-01

    Full Text Available This paper presents an informatic system designed for collaborative logistic networks. The informational system is composed of structured informational modules that can easily be modified in order to facilitate the testing of the different algorithms that are being used. The informational system has two components, in the form of web application modules, which are connected to the user-specific modules (THE CLIENT WEB APPLICATION and to the server-specific modules (THE SERVER WEB APPLICATION, respectively. These two modules operate the transmission of information, the demands of the client and the offers generated by the server. The designed informational system has been tested in actual operating conditions, by co-optating ten EMSs from the Bihor county area. Some of the elements considered positive by the users, in the testing period, were: usability, the automatic assignment of a motor vehicle according to the characteristics of the product, the automatic route generation, the selection of goods according to the cluster “route” of the system.

  8. Information Filtering via Heterogeneous Diffusion in Online Bipartite Networks.

    Science.gov (United States)

    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.

  9. Construction of binary status information system using PC network

    International Nuclear Information System (INIS)

    Kurnianto, K.; Azriani, A.; Teddy, S.

    1998-01-01

    Binary status information system is a part of establishing reactor parameter with Pc that function as MPR-30 Process Computer. Binary Alarm system, consist of interface hardware and input binary module terminal, prepare the information that be displayed in text message and graphical form. Monitor software give facilities that binary status of RSG-GAS components can be monitored using computer network (LAN). This program consist of two part : reside in server computer and reside in user computer. Program in server acquire data from interface and than store it in data base (Access file). Than, user computer read this file and display it in Dynamic Process and Instrumentation Diagram. The number of user computer can be more then one because data base was designed for multi-user operation

  10. International earth science information network for global change decision making

    Energy Technology Data Exchange (ETDEWEB)

    Autrey-Hunley, C.; Kuhn, W.R.; Kasischke, E.; Trichel, M.T.; Coppola, R.

    1991-01-01

    Effective environmental decision making depends upon the ability to predict physical changes in the environment, societal responses to these changes, and how both the physical changes and societal responses will be affected by changes in government regulations, public perceptions and the environment. Technological advances in remote sensing have provided a wealth of earth science data necessary to study global change problems; the Earth Observatory System will provide an unprecedented data source in the late 1990's. The Consortium for an International Earth Science Information Network (CIESIN) will combine earth science data (both satellite and ground-based) with data on the social sciences (e.g., economics, demographics, public health) to support informed policy decisions and to transfer knowledge on global change and its causes to the public.

  11. BCube: Building a Geoscience Brokering Framework

    Science.gov (United States)

    Jodha Khalsa, Siri; Nativi, Stefano; Duerr, Ruth; Pearlman, Jay

    2014-05-01

    BCube is addressing the need for effective and efficient multi-disciplinary collaboration and interoperability through the advancement of brokering technologies. As a prototype "building block" for NSF's EarthCube cyberinfrastructure initiative, BCube is demonstrating how a broker can serve as an intermediary between information systems that implement well-defined interfaces, thereby providing a bridge between communities that employ different specifications. Building on the GEOSS Discover and Access Broker (DAB), BCube will develop new modules and services including: • Expanded semantic brokering capabilities • Business Model support for work flows • Automated metadata generation • Automated linking to services discovered via web crawling • Credential passing for seamless access to data • Ranking of search results from brokered catalogs Because facilitating cross-discipline research involves cultural and well as technical challenges, BCube is also addressing the sociological and educational components of infrastructure development. We are working, initially, with four geoscience disciplines: hydrology, oceans, polar and weather, with an emphasis on connecting existing domain infrastructure elements to facilitate cross-domain communications.

  12. Career Paths for Geosciences Students (Invited)

    Science.gov (United States)

    Bowers, T. S.; Flewelling, S. A.

    2013-12-01

    Current and future drivers of hiring in the geosciences include climate, environment, energy, georisk and litigation areas. Although climate is closely linked to the atmospheric sciences, hiring needs in the geosciences exist as well, in understanding potential impacts of climate change on coastal erosion and water resources. Where and how to consider carbon sequestration as a climate mitigation policy will also require geosciences expertise. The environmental sciences have long been a source of geosciences hiring, and have ongoing needs in the areas of investigation of contamination, and in fluid and chemical transport. The recent expansion of the energy sector in the U.S. is providing opportunities for the geosciences in oil and gas production, hydraulic fracturing, and in geothermal development. In georisk, expertise in earthquake and volcanic hazard prediction are increasingly important, particularly in population centers. Induced seismicity is a relatively new area of georisk that will also require geosciences skills. The skills needed in the future geosciences workforce are increasingly interdisciplinary, and include those that are both observational and quantitative. Field observations and their interpretation must be focused forward as well as backwards and include the ability to recognize change as it occurs. Areas of demand for quantitative skills include hydrological, geophysical, and geochemical modeling, math and statistics, with specialties such as rock mechanics becoming an increasingly important area. Characteristics that students should have to become successful employees in these sectors include strong communication skills, both oral and written, the ability to know when to stop "studying" and identify next steps, and the ability to turn research areas into solutions to problems.

  13. Social network profiles as information sources for adolescents' offline relations.

    Science.gov (United States)

    Courtois, Cédric; All, Anissa; Vanwynsberghe, Hadewijch

    2012-06-01

    This article presents the results of a study concerning the use of online profile pages by adolescents to know more about "offline" friends and acquaintances. Previous research has indicated that social networking sites (SNSs) are used to gather information on new online contacts. However, several studies have demonstrated a substantial overlap between offline and online social networks. Hence, we question whether online connections are meaningful in gathering information on offline friends and acquaintances. First, the results indicate that a combination of passive uncertainty reduction (monitoring a target's profile) and interactive uncertainty reduction (communication through the target's profile) explains a considerable amount of variance in the level of uncertainty about both friends and acquaintances. More specifically, adolescents generally get to know much more about their acquaintances. Second, the results of online uncertainty reduction positively affect the degree of self-disclosure, which is imperative in building a solid friend relation. Further, we find that uncertainty reduction strategies positively mediate the effect of social anxiety on the level of certainty about friends. This implies that socially anxious teenagers benefit from SNSs by getting the conditions right to build a more solid relation with their friends. Hence, we conclude that SNSs play a substantial role in today's adolescents' everyday interpersonal communication.

  14. Information governance in dynamic networked business process management

    NARCIS (Netherlands)

    Rasouli, M.; Eshuis, H.; Grefen, P.W.P.J.; Trienekens, J.J.M.; Kusters, R.J.

    2016-01-01

    Competition in today’s globalized markets forces organizations to collaborate within dynamic business networks to provide mass-customized integrated solutions for customers. The collaboration within dynamic business networks necessitates forming dynamic networked business processes (DNBPs).

  15. Research on the method of measuring space information network capacity in communication service

    Directory of Open Access Journals (Sweden)

    Zhu Shichao

    2017-02-01

    Full Text Available Because of the large scale characteristic of space information network in terms of space and time and the increasing of its complexity,existing measuring methods of information transmission capacity have been unable to measure the existing and future space information networkeffectively.In this study,we firstly established a complex model of space information network,and measured the whole space information network capacity by means of analyzing data access capability to the network and data transmission capability within the network.At last,we verified the rationality of the proposed measuring method by using STK and Matlab simulation software for collaborative simulation.

  16. MODELING INFORMATION SYSTEM AVAILABILITY BY USING BAYESIAN BELIEF NETWORK APPROACH

    Directory of Open Access Journals (Sweden)

    Semir Ibrahimović

    2016-03-01

    Full Text Available Modern information systems are expected to be always-on by providing services to end-users, regardless of time and location. This is particularly important for organizations and industries where information systems support real-time operations and mission-critical applications that need to be available on 24  7  365 basis. Examples of such entities include process industries, telecommunications, healthcare, energy, banking, electronic commerce and a variety of cloud services. This article presents a modified Bayesian Belief Network model for predicting information system availability, introduced initially by Franke, U. and Johnson, P. (in article “Availability of enterprise IT systems – an expert based Bayesian model”. Software Quality Journal 20(2, 369-394, 2012 based on a thorough review of several dimensions of the information system availability, we proposed a modified set of determinants. The model is parameterized by using probability elicitation process with the participation of experts from the financial sector of Bosnia and Herzegovina. The model validation was performed using Monte Carlo simulation.

  17. Geoscience and the 21st Century Workforce

    Science.gov (United States)

    Manduca, C. A.; Bralower, T. J.; Blockstein, D.; Keane, C. M.; Kirk, K. B.; Schejbal, D.; Wilson, C. E.

    2013-12-01

    Geoscience knowledge and skills play new roles in the workforce as our society addresses the challenges of living safely and sustainably on Earth. As a result, we expect a wider range of future career opportunities for students with education in the geosciences and related fields. A workshop offered by the InTeGrate STEP Center on 'Geoscience and the 21st Century Workforce' brought together representatives from 24 programs with a substantial geoscience component, representatives from different employment sectors, and workforce scholars to explore the intersections between geoscience education and employment. As has been reported elsewhere, employment in energy, environmental and extractive sectors for geoscientists with core geology, quantitative and communication skills is expected to be robust over the next decade as demand for resources grow and a significant part of the current workforce retires. Relatively little is known about employment opportunities in emerging areas such as green energy or sustainability consulting. Employers at the workshop from all sectors are seeking the combination of strong technical, quantitative, communication, time management, and critical thinking skills. The specific technical skills are highly specific to the employer and employment needs. Thus there is not a single answer to the question 'What skills make a student employable?'. Employers at this workshop emphasized the value of data analysis, quantitative, and problem solving skills over broad awareness of policy issues. Employers value the ability to articulate an appropriate, effective, creative solution to problems. Employers are also very interested in enthusiasm and drive. Participants felt that the learning outcomes that their programs have in place were in line with the needs expressed by employers. Preparing students for the workforce requires attention to professional skills, as well as to the skills needed to identify career pathways and land a job. This critical

  18. Web-based Academic Roadmaps for Careers in the Geosciences

    Science.gov (United States)

    Murray, D. P.; Veeger, A. I.; Grossman-Garber, D.

    2007-12-01

    To a greater extent than most science programs, geology is underrepresented in K-12 curricula and the media. Thus potential majors have scant knowledge of academic requirements and career trajectories, and their idea of what geologists do--if they have one at all--is outdated. We have addressed these concerns by developing a dynamic, web-based academic roadmap for current and prospective students, their families, and others who are contemplating careers in the geosciences. The goals of this visually attractive "educational pathway" are to not only improve student recruitment and retention, but to empower student learning by creating better communication and advising tools that can render our undergraduate program transparent for learners and their families. Although we have developed academic roadmaps for four environmental and life science programs at the University of Rhode Island, we focus here on the roadmap for the geosciences, which illustrates educational pathways along the academic and early-career continuum for current and potential (i.e., high school) students who are considering the earth sciences. In essence, the Geosciences Academic Roadmap is a "one-stop'" portal to the discipline. It includes user- friendly information about our curriculum, outcomes (which at URI are tightly linked to performance in courses and the major), extracurricular activities (e.g., field camp, internships), careers, graduate programs, and training. In the presentation of this material extensive use is made of streaming video, interviews with students and earth scientists, and links to other relevant sites. Moreover, through the use of "Hot Topics", particular attention is made to insure that examples of geoscience activities are not only of relevance to today's students, but show geologists using the modern methods of the discipline in exciting ways. Although this is a "work-in-progress", evaluation of the sites, by high school through graduate students, has been strongly

  19. Summaries of FY 92 geosciences research

    Energy Technology Data Exchange (ETDEWEB)

    1992-12-01

    The Department of Energy supports research in the geosciences in order to provide a sound foundation of fundamental knowledge in those areas of the geosciences that are germane to the Department of Energy's many missions. The Division of Engineering and Geosciences, part of the Office of Basic Energy Sciences of the Office of Energy Research, supports the Geosciences Research Program. The participants in this program include Department of Energy laboratories, academic institutions, and other governmental agencies. These activities are formalized by a contract or grant between the Department of Energy and the organization performing the work, providing funds for salaries, equipment, research materials, and overhead. The summaries in this document, prepared by the investigators, describe the scope of the individual programs. The Geosciences Research Program includes research in geophysics, geochemistry, resource evaluation, solar-terrestrial interactions and their subdivisions including Earth dynamics, properties of Earth materials, rock mechanics, underground imaging, rock-fluid interactions, continental scientific drilling, geochemical transport, solar/atmospheric physics, and modeling, with emphasis on the interdisciplinary areas. All such research is related either directly or indirectly to the Department of Energy's long-range technological needs.

  20. Summaries of FY 91 geosciences research

    Energy Technology Data Exchange (ETDEWEB)

    1991-11-01

    The Department of Energy supports research in the geosciences in order to provide a sound foundation of fundamental knowledge in those areas of the geosciences which are germane to the Department of Energy's many missions. The Division of Engineering and Geosciences, part of the Office of Basic Energy Sciences of the Office of Energy Research supports the Geosciences Research Program. The participants in this program include Department of Energy laboratories, academic institutions, and other governmental agencies. Theses activities are formalized by a contract or grant between the Department of Energy and the organization performing the work, providing funds for salaries, equipment, research materials, and overhead. The summaries in this document, prepared by the investigators, describe the scope of the individual programs. The Geosciences Research Program includes research in geology, petrology, geophysics, geochemistry, solar physics, solar-terrestrial relationships, aeronomy, seismology, and natural resource modeling and analysis, including their various subdivisions and interdisciplinary areas. All such research is related either directly or indirectly to the Department of Energy's long-range technological needs. 2 tabs.

  1. Investigations on an environmental technology transfer information network; Kankyo gijutsu iten joho network chosa

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-03-01

    With developing countries (APEC countries) as the main objects, investigations were carried out to issue environmental technology transfer information that Japan has accumulated, and advance exchanges of technical information with persons related inside and outside Japan. As a result of the investigations, it was found that the environmental technology information that serves more effectively for the developing countries is the technical information that has been developed by repeating improvements, has provided actual results in work sites, and is actually used, rather than the state-of-art technologies. Based on this result, business entities having factories and operation centers located in Mie Prefecture and the city of Yokkaichi were asked to provide data for the actually used environmental technologies. Out of 51 items provided by 17 companies, nine items were selected to be used as prototype database materials for an information network. The objects of information sources will be expanded to a nationwide scale in the future to improve the contents of the database. Problems of handling information copyrights and technical know-hows were presented in the course of data collection, urging the necessity of due considerations on the matter. Necessity was indicated on maintenance and management of data base as well as its quantitative expansion. 1 ref., 4 figs.

  2. Smart network. The information nework in the smart grid; Smart Network. Das Informationsnetz im Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Horrmeyer, Bernd [Phoenix Contact GmbH und Co. KG, Blomberg (Germany). Industrielle Netzwerkverkabelung; Wissig, Claus [Phoenix Contact GmbH und Co. KG, Blomberg (Germany). Geraeteverbindungstechnik

    2012-07-01

    So far, the distribution of electricity was constructed unidirectional - from the generating power plant over the power distribution systems to the consumer. In the last decade, the utilization of renewable energies became popular. Thus the energy flows bi-directionally in the lines. Since the current has to be consumed at the moment of generation, the control becomes more difficult when bi-directional feeding. The techniques are demanding, and the number of devices for controlling and monitoring the of the distribution networks increases. The need for digital communication between the devices increases - the existing information networks in the energy sector are not dimensioned for this. With its bi-directional supply of energy, the smart grid requires a more frequent and faster communication between the devices. New cabling concepts according to IEC 61850 provide reliable and easy to maintain electrical and optical ethernet connections.

  3. Space-based Networking Technology Developments in the Interplanetary Network Directorate Information Technology Program

    Science.gov (United States)

    Clare, Loren; Clement, B.; Gao, J.; Hutcherson, J.; Jennings, E.

    2006-01-01

    Described recent development of communications protocols, services, and associated tools targeted to reduce risk, reduce cost and increase efficiency of IND infrastructure and supported mission operations. Space-based networking technologies developed were: a) Provide differentiated quality of service (QoS) that will give precedence to traffic that users have selected as having the greatest importance and/or time-criticality; b) Improve the total value of information to users through the use of QoS prioritization techniques; c) Increase operational flexibility and improve command-response turnaround; d) Enable new class of networked and collaborative science missions; e) Simplify applications interfaces to communications services; and f) Reduce risk and cost from a common object model and automated scheduling and communications protocols. Technologies are described in three general areas: communications scheduling, middleware, and protocols. Additionally developed simulation environment, which provides comprehensive, quantitative understanding of the technologies performance within overall, evolving architecture, as well as ability to refine & optimize specific components.

  4. Networking of Bibliographical Information: Lessons learned for the Virtual Observatory

    Science.gov (United States)

    Genova, Françoise; Egret, Daniel

    Networking of bibliographic information is particularly remarkable in astronomy. On-line journals, the ADS bibliographic database, SIMBAD and NED are everyday tools for research, and provide easy navigation from one resource to another. Tables are published on line, in close collaboration with data centers. Recent new developments include the links between observatory archives and the ADS, as well as the large scale prototyping of object links between Astronomy and Astrophysics and SIMBAD, following those implemented a few years ago with New Astronomy and the International Bulletin of Variable stars . This networking has been made possible by close collaboration between the ADS, data centers such as the CDS and NED, and the journals, and this partnership being now extended to observatory archives. Simple, de facto exchange standards, like the bibcode to refer to a published paper, have been the key for building links and exchanging data. This partnership, in which practitioners from different disciplines agree to link their resources and to work together to define useful and usable standards, has produced a revolution in scientists' practice. It is an excellent model for the Virtual Observatory projects.

  5. Information sharing and relationships on social networking sites.

    Science.gov (United States)

    Steijn, Wouter M P; Schouten, Alexander P

    2013-08-01

    This article investigates the relationship between sharing personal information and relationship development in the context of social networking sites (SNSs). Information disclosed on these sites could affect relationships in a different manner compared to more traditional interactions, such as instant messaging or face-to-face interaction. Respondents in the age range of 12 to 83 were surveyed about experiences of relationship development as a consequence of contact through Facebook or Hyves-the most popular Dutch SNSs. Results showed a primarily positive effect of information sharing on SNSs on our relationships. Furthermore, relationship development mainly occurs among acquaintances and friends, and public posts are most strongly related to relationship development. These findings suggest that SNSs might affect relationships in a distinct fashion as acquaintances and friends gain access to public self-disclosures that might normally only be reserved for close friends and family. Overall, this study provides an insight into some of the positive aspects of the public nature of SNSs in contrast with the general negative associations.

  6. Network Characteristics and Dynamics: Reciprocity, Competition and Information Dissemination

    Science.gov (United States)

    2015-09-01

    discrete entities or components of a system and edges represent dyadic relations be- tween components. Prominent examples are online social networks such as... community , and considerable work has been devoted to their study. One line of study focuses on the structural properties of networks themselves. Ex...networks [73, 74, 68, 76, 70, 80], communication networks [52], product co-purchasing networks [52], web graphs [52], Wikipedias [1], software call graphs

  7. Traffic networks as information systems a viability approach

    CERN Document Server

    Aubin, Jean-Pierre

    2017-01-01

    This authored monograph covers a viability to approach to traffic management by advising to vehicles circulated on the network the velocity they should follow for satisfying global traffic conditions;. It presents an investigation of three structural innovations: The objective is to broadcast at each instant and at each position the advised celerity to vehicles, which could be read by auxiliary speedometers or used by cruise control devices. Namely, 1. Construct regulation feedback providing at each time and position advised velocities (celerities) for minimizing congestion or other requirements. 2. Taking into account traffic constraints of different type, the first one being to remain on the roads, to stop at junctions, etc. 3. Use information provided by the probe vehicles equipped with GPS to the traffic regulator; 4. Use other global traffic measures of vehicles provided by different types of sensors; These results are based on convex analysis, intertemporal optimization and viability theory as mathemati...

  8. Mutual information, neural networks and the renormalization group

    Science.gov (United States)

    Koch-Janusz, Maciej; Ringel, Zohar

    2018-06-01

    Physical systems differing in their microscopic details often display strikingly similar behaviour when probed at macroscopic scales. Those universal properties, largely determining their physical characteristics, are revealed by the powerful renormalization group (RG) procedure, which systematically retains `slow' degrees of freedom and integrates out the rest. However, the important degrees of freedom may be difficult to identify. Here we demonstrate a machine-learning algorithm capable of identifying the relevant degrees of freedom and executing RG steps iteratively without any prior knowledge about the system. We introduce an artificial neural network based on a model-independent, information-theoretic characterization of a real-space RG procedure, which performs this task. We apply the algorithm to classical statistical physics problems in one and two dimensions. We demonstrate RG flow and extract the Ising critical exponent. Our results demonstrate that machine-learning techniques can extract abstract physical concepts and consequently become an integral part of theory- and model-building.

  9. Unsupervised Neural Network Quantifies the Cost of Visual Information Processing.

    Science.gov (United States)

    Orbán, Levente L; Chartier, Sylvain

    2015-01-01

    Untrained, "flower-naïve" bumblebees display behavioural preferences when presented with visual properties such as colour, symmetry, spatial frequency and others. Two unsupervised neural networks were implemented to understand the extent to which these models capture elements of bumblebees' unlearned visual preferences towards flower-like visual properties. The computational models, which are variants of Independent Component Analysis and Feature-Extracting Bidirectional Associative Memory, use images of test-patterns that are identical to ones used in behavioural studies. Each model works by decomposing images of floral patterns into meaningful underlying factors. We reconstruct the original floral image using the components and compare the quality of the reconstructed image to the original image. Independent Component Analysis matches behavioural results substantially better across several visual properties. These results are interpreted to support a hypothesis that the temporal and energetic costs of information processing by pollinators served as a selective pressure on floral displays: flowers adapted to pollinators' cognitive constraints.

  10. Information System for the Goods Transport Service Network

    Directory of Open Access Journals (Sweden)

    Caj Holm

    2008-05-01

    Full Text Available Intermodal transport can reduce the load of the road infrastructure.Knowledge gives it the necessary competitiveness andhelps to control its costs. Fast reaction to changing conditions,opportunities and requirements gives remarkable advantage.Setting up integrated logistic chains using alternative transportmodes requires the trust and close interaction of a variety of actorsinvolved in managing the chain. Especially in the dynamicmobile environment, knowledge has so far not been effectivelyused. FREIGHTWISE tackles this complexity by developing aframework architecture anchored and validated in a range ofdemonstration cases involving commercial and public actors.This paper discusses the general FREIGHTWISE objectivesand its North-East Case, the Logistiikkainfo goods transportservice network information system to be implemented for theEstonian - Finnish transport chain.

  11. UPGRADE FOR HARDWARE/SOFTWARE SERVER AND NETWORK TOPOLOGY IN INFORMATION SYSTEMS

    Directory of Open Access Journals (Sweden)

    Oleksii O. Kaplun

    2011-02-01

    Full Text Available The network modernization, educational information systems software and hardware updates problem is actual in modern term of information technologies prompt development. There are server applications and network topology of Institute of Information Technology and Learning Tools of National Academy of Pedagogical Sciences of Ukraine analysis and their improvement methods expound in the article. The article materials represent modernization results implemented to increase network efficiency and reliability, decrease response time in Institute’s network information systems. The article gives diagrams of network topology before upgrading and after finish of optimization and upgrading processes.

  12. Learning Predictive Interactions Using Information Gain and Bayesian Network Scoring.

    Directory of Open Access Journals (Sweden)

    Xia Jiang

    Full Text Available The problems of correlation and classification are long-standing in the fields of statistics and machine learning, and techniques have been developed to address these problems. We are now in the era of high-dimensional data, which is data that can concern billions of variables. These data present new challenges. In particular, it is difficult to discover predictive variables, when each variable has little marginal effect. An example concerns Genome-wide Association Studies (GWAS datasets, which involve millions of single nucleotide polymorphism (SNPs, where some of the SNPs interact epistatically to affect disease status. Towards determining these interacting SNPs, researchers developed techniques that addressed this specific problem. However, the problem is more general, and so these techniques are applicable to other problems concerning interactions. A difficulty with many of these techniques is that they do not distinguish whether a learned interaction is actually an interaction or whether it involves several variables with strong marginal effects.We address this problem using information gain and Bayesian network scoring. First, we identify candidate interactions by determining whether together variables provide more information than they do separately. Then we use Bayesian network scoring to see if a candidate interaction really is a likely model. Our strategy is called MBS-IGain. Using 100 simulated datasets and a real GWAS Alzheimer's dataset, we investigated the performance of MBS-IGain.When analyzing the simulated datasets, MBS-IGain substantially out-performed nine previous methods at locating interacting predictors, and at identifying interactions exactly. When analyzing the real Alzheimer's dataset, we obtained new results and results that substantiated previous findings. We conclude that MBS-IGain is highly effective at finding interactions in high-dimensional datasets. This result is significant because we have increasingly

  13. Visual Analytics for Heterogeneous Geoscience Data

    Science.gov (United States)

    Pan, Y.; Yu, L.; Zhu, F.; Rilee, M. L.; Kuo, K. S.; Jiang, H.; Yu, H.

    2017-12-01

    Geoscience data obtained from diverse sources have been routinely leveraged by scientists to study various phenomena. The principal data sources include observations and model simulation outputs. These data are characterized by spatiotemporal heterogeneity originated from different instrument design specifications and/or computational model requirements used in data generation processes. Such inherent heterogeneity poses several challenges in exploring and analyzing geoscience data. First, scientists often wish to identify features or patterns co-located among multiple data sources to derive and validate certain hypotheses. Heterogeneous data make it a tedious task to search such features in dissimilar datasets. Second, features of geoscience data are typically multivariate. It is challenging to tackle the high dimensionality of geoscience data and explore the relations among multiple variables in a scalable fashion. Third, there is a lack of transparency in traditional automated approaches, such as feature detection or clustering, in that scientists cannot intuitively interact with their analysis processes and interpret results. To address these issues, we present a new scalable approach that can assist scientists in analyzing voluminous and diverse geoscience data. We expose a high-level query interface that allows users to easily express their customized queries to search features of interest across multiple heterogeneous datasets. For identified features, we develop a visualization interface that enables interactive exploration and analytics in a linked-view manner. Specific visualization techniques such as scatter plots to parallel coordinates are employed in each view to allow users to explore various aspects of features. Different views are linked and refreshed according to user interactions in any individual view. In such a manner, a user can interactively and iteratively gain understanding into the data through a variety of visual analytics operations. We

  14. Cloud Computing Application of Personal Information's Security in Network Sales-channels

    OpenAIRE

    Sun Qiong; Min Liu; Shiming Pang

    2013-01-01

    With the promotion of Internet sales, the security of personal information to network users have become increasingly demanding. The existing network of sales channels has personal information security risks, vulnerable to hacker attacking. Taking full advantage of cloud security management strategy, cloud computing security management model is introduced to the network sale of personal information security applications, which is to solve the problem of information leakage. Then we proposed me...

  15. XML — an opportunity for data standards in the geosciences

    Science.gov (United States)

    Houlding, Simon W.

    2001-08-01

    Extensible markup language (XML) is a recently introduced meta-language standard on the Web. It provides the rules for development of metadata (markup) standards for information transfer in specific fields. XML allows development of markup languages that describe what information is rather than how it should be presented. This allows computer applications to process the information in intelligent ways. In contrast hypertext markup language (HTML), which fuelled the initial growth of the Web, is a metadata standard concerned exclusively with presentation of information. Besides its potential for revolutionizing Web activities, XML provides an opportunity for development of meaningful data standards in specific application fields. The rapid endorsement of XML by science, industry and e-commerce has already spawned new metadata standards in such fields as mathematics, chemistry, astronomy, multi-media and Web micro-payments. Development of XML-based data standards in the geosciences would significantly reduce the effort currently wasted on manipulating and reformatting data between different computer platforms and applications and would ensure compatibility with the new generation of Web browsers. This paper explores the evolution, benefits and status of XML and related standards in the more general context of Web activities and uses this as a platform for discussion of its potential for development of data standards in the geosciences. Some of the advantages of XML are illustrated by a simple, browser-compatible demonstration of XML functionality applied to a borehole log dataset. The XML dataset and the associated stylesheet and schema declarations are available for FTP download.

  16. Information theory and signal transduction systems: from molecular information processing to network inference.

    Science.gov (United States)

    Mc Mahon, Siobhan S; Sim, Aaron; Filippi, Sarah; Johnson, Robert; Liepe, Juliane; Smith, Dominic; Stumpf, Michael P H

    2014-11-01

    Sensing and responding to the environment are two essential functions that all biological organisms need to master for survival and successful reproduction. Developmental processes are marshalled by a diverse set of signalling and control systems, ranging from systems with simple chemical inputs and outputs to complex molecular and cellular networks with non-linear dynamics. Information theory provides a powerful and convenient framework in which such systems can be studied; but it also provides the means to reconstruct the structure and dynamics of molecular interaction networks underlying physiological and developmental processes. Here we supply a brief description of its basic concepts and introduce some useful tools for systems and developmental biologists. Along with a brief but thorough theoretical primer, we demonstrate the wide applicability and biological application-specific nuances by way of different illustrative vignettes. In particular, we focus on the characterisation of biological information processing efficiency, examining cell-fate decision making processes, gene regulatory network reconstruction, and efficient signal transduction experimental design. Copyright © 2014 Elsevier Ltd. All rights reserved.

  17. Connecting geoscience systems and data using Linked Open Data in the Web of Data

    Science.gov (United States)

    Ritschel, Bernd; Neher, Günther; Iyemori, Toshihiko; Koyama, Yukinobu; Yatagai, Akiyo; Murayama, Yasuhiro; Galkin, Ivan; King, Todd; Fung, Shing F.; Hughes, Steve; Habermann, Ted; Hapgood, Mike; Belehaki, Anna

    2014-05-01

    specific and cross-domain vocabularies in the sense of terminological ontologies are the foundation for a virtually unified data retrieval and access in IUGONET, ESPAS and GFZ ISDC data management systems. SPARQL endpoints realized either by originally RDF databases, e.g. Virtuoso or by virtual SPARQL endpoints, e.g. D2R services enable an only upon Web standard-based mash-up of domain-specific systems and data, such as in this case the space weather and geomagnetic domain but also cross-domain connection to data and vocabularies, e.g. related to NASA's VxOs, particularly VWO or NASA's PDS data system within LOD. LOD - Linked Open Data RDF - Resource Description Framework RDFS - RDF Schema OWL - Ontology Web Language SPARQL - SPARQL Protocol and RDF Query Language FOAF - Friends of a Friend ontology ESPAS - Near Earth Space Data Infrastructure for e-Science (Project) IUGONET - Inter-university Upper Atmosphere Global Observation Network (Project) GFZ ISDC - German Research Centre for Geosciences Information System and Data Center XML - Extensible Mark-up Language D2R - (Relational) Database to RDF (Transformation) XSLT - Extensible Stylesheet Language Transformation Virtuoso - OpenLink Virtuoso Universal Server (including RDF data management) NASA - National Aeronautics and Space Administration VOx - Virtual Observatories VWO - Virtual Wave Observatory PDS - Planetary Data System

  18. Summaries of physical research in the geosciences

    Energy Technology Data Exchange (ETDEWEB)

    1987-09-01

    The Department of Energy supports research in the geosciences in order to provide a sound foundation of fundamental knowledge in those areas that are germane to the Department of Energy's many missions. The summaries in this document, prepared by the investigators, describe the scope of the individual programs. The Geoscience Research Program includes research in geology, petrology, geophysics, geochemistry, solar-terrestrial relationships, aeronomy, seismology, and natural resource analysis, including their various subdivisions and interdisciplinary areas. All such research is related either directly or indirectly to the Department of Energy's technological needs.

  19. Summaries of physical research in the geosciences

    International Nuclear Information System (INIS)

    1981-10-01

    The Department of Energy supports research in the geosciences in order to provide a sound foundation of fundamental knowledge in those areas of earth, atmospheric, and solar-terrestrial sciences that are germane to the Department of Energy's many missions. The summaries describe the scope of the individual programs and detail the research performed during 1980 to 1981. The Geosciences Research Program includes research in geology, petrology, geophysics, geochemistry, hydrology, solar-terrestrial relationships, aeronomy, seismology, and natural resource analysis, including the various subdivisions and interdisciplinary areas

  20. Summaries of physical research in the geosciences

    Energy Technology Data Exchange (ETDEWEB)

    1981-10-01

    The Department of Energy supports research in the geosciences in order to provide a sound foundation of fundamental knowledge in those areas of earth, atmospheric, and solar-terrestrial sciences that are germane to the Department of Energy's many missions. The summaries describe the scope of the individual programs and detail the research performed during 1980 to 1981. The Geosciences Research Program includes research in geology, petrology, geophysics, geochemistry, hydrology, solar-terrestrial relationships, aeronomy, seismology, and natural resource analysis, including the various subdivisions and interdisciplinary areas.

  1. SDN-enabled dynamic WDM networks to address routing information inaccuracy

    CSIR Research Space (South Africa)

    Ravhuanzwo, Lusani

    2016-11-01

    Full Text Available Large dynamic wavelength-division multiplexed (WDM) networks based on the distributed control mechanism are susceptible to routing information inaccuracies. Factors such as non-negligible propagation delays, infrequent network state updates...

  2. The Effect of Information Access Strategy on Power Consumption and Reliability in Wireless Sensor Network

    DEFF Research Database (Denmark)

    Tobgay, Sonam; Olsen, Rasmus Løvenstein; Prasad, Ramjee

    2013-01-01

    This paper examines the effect of different information access strategies on power consumption and information reliability, considering the wireless sensor network as the source of information. Basically, the paper explores three different access strategies, namely; reactive, periodic and hybrid...

  3. Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images

    NARCIS (Netherlands)

    Persello, Claudio; Stein, Alfred

    2017-01-01

    This letter investigates fully convolutional networks (FCNs) for the detection of informal settlements in very high resolution (VHR) satellite images. Informal settlements or slums are proliferating in developing countries and their detection and classification provides vital information for

  4. Information report on electricity distribution network security and financing

    International Nuclear Information System (INIS)

    2011-01-01

    This report first outlines the degradation of electricity quality, and identifies the lack of investment as the main reason of the network weakness. It notices that the French network is much extended, and that the medium and low voltage networks need to be secured, and outlines that some legal measures have already been implemented to correct these problems. In its second part, the report comments the network manager's point of view, and denies his critics of the conceding authorities. It also discusses the network manager's investments, and finally formulates six propositions for a better future of the distribution network

  5. Video diaries on social media: Creating online communities for geoscience research and education

    Science.gov (United States)

    Tong, V.

    2013-12-01

    Making video clips is an engaging way to learn and teach geoscience. As smartphones become increasingly common, it is relatively straightforward for students to produce ';video diaries' by recording their research and learning experience over the course of a science module. Instead of keeping the video diaries for themselves, students may use the social media such as Facebook for sharing their experience and thoughts. There are some potential benefits to link video diaries and social media in pedagogical contexts. For example, online comments on video clips offer useful feedback and learning materials to the students. Students also have the opportunity to engage in geoscience outreach by producing authentic scientific contents at the same time. A video diary project was conducted to test the pedagogical potential of using video diaries on social media in the context of geoscience outreach, undergraduate research and teaching. This project formed part of a problem-based learning module in field geophysics at an archaeological site in the UK. The project involved i) the students posting video clips about their research and problem-based learning in the field on a daily basis; and ii) the lecturer building an online outreach community with partner institutions. In this contribution, I will discuss the implementation of the project and critically evaluate the pedagogical potential of video diaries on social media. My discussion will focus on the following: 1) Effectiveness of video diaries on social media; 2) Student-centered approach of producing geoscience video diaries as part of their research and problem-based learning; 3) Learning, teaching and assessment based on video clips and related commentaries posted on Facebook; and 4) Challenges in creating and promoting online communities for geoscience outreach through the use of video diaries. I will compare the outcomes from this study with those from other pedagogical projects with video clips on geoscience, and

  6. METHODS OF TEXT INFORMATION CLASSIFICATION ON THE BASIS OF ARTIFICIAL NEURAL AND SEMANTIC NETWORKS

    Directory of Open Access Journals (Sweden)

    L. V. Serebryanaya

    2016-01-01

    Full Text Available The article covers the use of perseptron, Hopfild artificial neural network and semantic network for classification of text information. Network training algorithms are studied. An algorithm of inverse mistake spreading for perceptron network and convergence algorithm for Hopfild network are implemented. On the basis of the offered models and algorithms automatic text classification software is developed and its operation results are evaluated.

  7. RANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKS1

    Science.gov (United States)

    Silva, Ricardo; Heller, Katherine; Ghahramani, Zoubin; Airoldi, Edoardo M.

    2013-01-01

    Analogical reasoning depends fundamentally on the ability to learn and generalize about relations between objects. We develop an approach to relational learning which, given a set of pairs of objects S = {A(1) : B(1), A(2) : B(2), …, A(N) : B(N)}, measures how well other pairs A : B fit in with the set S. Our work addresses the following question: is the relation between objects A and B analogous to those relations found in S? Such questions are particularly relevant in information retrieval, where an investigator might want to search for analogous pairs of objects that match the query set of interest. There are many ways in which objects can be related, making the task of measuring analogies very challenging. Our approach combines a similarity measure on function spaces with Bayesian analysis to produce a ranking. It requires data containing features of the objects of interest and a link matrix specifying which relationships exist; no further attributes of such relationships are necessary. We illustrate the potential of our method on text analysis and information networks. An application on discovering functional interactions between pairs of proteins is discussed in detail, where we show that our approach can work in practice even if a small set of protein pairs is provided. PMID:24587838

  8. Hyperbolic mapping of complex networks based on community information

    Science.gov (United States)

    Wang, Zuxi; Li, Qingguang; Jin, Fengdong; Xiong, Wei; Wu, Yao

    2016-08-01

    To improve the hyperbolic mapping methods both in terms of accuracy and running time, a novel mapping method called Community and Hyperbolic Mapping (CHM) is proposed based on community information in this paper. Firstly, an index called Community Intimacy (CI) is presented to measure the adjacency relationship between the communities, based on which a community ordering algorithm is introduced. According to the proposed Community-Sector hypothesis, which supposes that most nodes of one community gather in a same sector in hyperbolic space, CHM maps the ordered communities into hyperbolic space, and then the angular coordinates of nodes are randomly initialized within the sector that they belong to. Therefore, all the network nodes are so far mapped to hyperbolic space, and then the initialized angular coordinates can be optimized by employing the information of all nodes, which can greatly improve the algorithm precision. By applying the proposed dual-layer angle sampling method in the optimization procedure, CHM reduces the time complexity to O(n2) . The experiments show that our algorithm outperforms the state-of-the-art methods.

  9. Geoscience for society. 125th Anniversary volume

    Energy Technology Data Exchange (ETDEWEB)

    Nenonen, K.; Nurmi, P.A. (eds.)

    2011-07-01

    Our knowledge of Finnish geology and natural resources has considerably increased during the last few decades. Geological Survey of Finland - GTK has mapped the bedrock and Quaternary deposits, as well as mineral resources in great detail using modern geological, geochemical and geophysical techniques, so that Finland today has one of the best geological databases in the world. We have recently compiled countrywide datasets of seamless bedrock information at the scale of 1:200,000, and completed low-altitude airborne geophysical (200 m line spacing and 40 m terrain clearance), regional geochemical (80 000 samples), and reflection seismic surveys at the crustal scale and at high resolution on the main orepotential formations. Isotopic age determinations have been performed at GTK since the 1960s, and we now have accurate ages for about thousand samples, which is a key to studying the complex evolution of the Finnish Precambrian. GTK currently plays a vital role in providing geological expertise to the government, the business sector and the wider community. Specific responsibilities include the promotion and implementation of sustainable approaches to the supply and management of minerals, energy and construction materials, and to ensure environmental compliance through monitoring, assessment and remediation programmes. GTK also contributes to a wide range of international geoscience, mapping, mineral resources and environmental monitoring projects, and is active in developing multidisciplinary research programmes with universities, government agencies and stakeholders across related sectors. This 125th Anniversary Publication aims at elucidating, through a number of short articles, the current focus of research and development at GTK. In reaching the milestone of 125 years, we can state that our anniversary slogan, 'forever young', is justified by the vitality and increasing societal impact of the organization and our research focusing on sustainable

  10. Geoscience for society. 125th Anniversary volume

    Energy Technology Data Exchange (ETDEWEB)

    Nenonen, K.; Nurmi, P A [eds.

    2011-07-01

    Our knowledge of Finnish geology and natural resources has considerably increased during the last few decades. Geological Survey of Finland - GTK has mapped the bedrock and Quaternary deposits, as well as mineral resources in great detail using modern geological, geochemical and geophysical techniques, so that Finland today has one of the best geological databases in the world. We have recently compiled countrywide datasets of seamless bedrock information at the scale of 1:200,000, and completed low-altitude airborne geophysical (200 m line spacing and 40 m terrain clearance), regional geochemical (80 000 samples), and reflection seismic surveys at the crustal scale and at high resolution on the main orepotential formations. Isotopic age determinations have been performed at GTK since the 1960s, and we now have accurate ages for about thousand samples, which is a key to studying the complex evolution of the Finnish Precambrian. GTK currently plays a vital role in providing geological expertise to the government, the business sector and the wider community. Specific responsibilities include the promotion and implementation of sustainable approaches to the supply and management of minerals, energy and construction materials, and to ensure environmental compliance through monitoring, assessment and remediation programmes. GTK also contributes to a wide range of international geoscience, mapping, mineral resources and environmental monitoring projects, and is active in developing multidisciplinary research programmes with universities, government agencies and stakeholders across related sectors. This 125th Anniversary Publication aims at elucidating, through a number of short articles, the current focus of research and development at GTK. In reaching the milestone of 125 years, we can state that our anniversary slogan, 'forever young', is justified by the vitality and increasing societal impact of the organization and our research focusing on sustainable development of

  11. Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network.

    Science.gov (United States)

    Wan, Mengting; Ouyang, Yunbo; Kaplan, Lance; Han, Jiawei

    2015-01-01

    A number of real-world networks are heterogeneous information networks, which are composed of different types of nodes and links. Numerical prediction in heterogeneous information networks is a challenging but significant area because network based information for unlabeled objects is usually limited to make precise estimations. In this paper, we consider a graph regularized meta-path based transductive regression model ( Grempt ), which combines the principal philosophies of typical graph-based transductive classification methods and transductive regression models designed for homogeneous networks. The computation of our method is time and space efficient and the precision of our model can be verified by numerical experiments.

  12. Reentrant Information Flow in Electrophysiological Rat Default Mode Network.

    Science.gov (United States)

    Jing, Wei; Guo, Daqing; Zhang, Yunxiang; Guo, Fengru; Valdés-Sosa, Pedro A; Xia, Yang; Yao, Dezhong

    2017-01-01

    Functional MRI (fMRI) studies have demonstrated that the rodent brain shows a default mode network (DMN) activity similar to that in humans, offering a potential preclinical model both for physiological and pathophysiological studies. However, the neuronal mechanism underlying rodent DMN remains poorly understood. Here, we used electrophysiological data to analyze the power spectrum and estimate the directed phase transfer entropy (dPTE) within rat DMN across three vigilance states: wakeful rest (WR), slow-wave sleep (SWS), and rapid-eye-movement sleep (REMS). We observed decreased gamma powers during SWS compared with WR in most of the DMN regions. Increased gamma powers were found in prelimbic cortex, cingulate cortex, and hippocampus during REMS compared with WR, whereas retrosplenial cortex showed a reverse trend. These changed gamma powers are in line with the local metabolic variation of homologous brain regions in humans. In the analysis of directional interactions, we observed well-organized anterior-to-posterior patterns of information flow in the delta band, while opposite patterns of posterior-to-anterior flow were found in the theta band. These frequency-specific opposite patterns were only observed in WR and REMS. Additionally, most of the information senders in the delta band were also the receivers in the theta band, and vice versa. Our results provide electrophysiological evidence that rat DMN is similar to its human counterpart, and there is a frequency-dependent reentry loop of anterior-posterior information flow within rat DMN, which may offer a mechanism for functional integration, supporting conscious awareness.

  13. Dissemination of health information through social networks: twitter and antibiotics.

    Science.gov (United States)

    Scanfeld, Daniel; Scanfeld, Vanessa; Larson, Elaine L

    2010-04-01

    This study reviewed Twitter status updates mentioning "antibiotic(s)" to determine overarching categories and explore evidence of misunderstanding or misuse of antibiotics. One thousand Twitter status updates mentioning antibiotic(s) were randomly selected for content analysis and categorization. To explore cases of potential misunderstanding or misuse, these status updates were mined for co-occurrence of the following terms: "cold + antibiotic(s)," "extra + antibiotic(s)," "flu + antibiotic(s)," "leftover + antibiotic(s)," and "share + antibiotic(s)" and reviewed to confirm evidence of misuse or misunderstanding. Of the 1000 status updates, 971 were categorized into 11 groups: general use (n = 289), advice/information (n = 157), side effects/negative reactions (n = 113), diagnosis (n = 102), resistance (n = 92), misunderstanding and/or misuse (n = 55), positive reactions (n = 48), animals (n = 46), other (n = 42), wanting/needing (n = 19), and cost (n = 8). Cases of misunderstanding or abuse were identified for the following combinations: "flu + antibiotic(s)" (n = 345), "cold + antibiotic(s)" (n = 302), "leftover + antibiotic(s)" (n = 23), "share + antibiotic(s)" (n = 10), and "extra + antibiotic(s)" (n = 7). Social media sites offer means of health information sharing. Further study is warranted to explore how such networks may provide a venue to identify misuse or misunderstanding of antibiotics, promote positive behavior change, disseminate valid information, and explore how such tools can be used to gather real-time health data. 2010 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.

  14. A Ten-Year Retrospective Look at the NSF/GEO Opportunities for Enhancing Diversity in the Geosciences (OEDG) Program

    Science.gov (United States)

    Karsten, J. L.

    2013-12-01

    The Opportunities for Enhancing Diversity in the Geosciences (OEDG) program - established in 2002 by the National Science Foundation's Directorate for Geosciences (GEO) - has been a mainstay in GEO's efforts to broaden participation of traditionally underrepresented minorities in the geosciences. The primary goal of the OEDG program has been to engage a diverse population of students in learning about - and pursuing advanced degrees and careers in - the geosciences. Raising public awareness of the importance and relevance of the geosciences among diverse audiences has been a secondary goal. During the past decade, the OEDG program has supported a variety of planning grants, proof-of-concept projects, and larger full-scale implementation efforts across the U.S. These projects have contributed a rich array of culturally-tailored resources for learning about geoscience career pathways and opportunities to participate in geoscience research experiences. OEDG has also developed networking and mentoring programs tailored for diverse student audiences, as well as the educators who work with them, and has helped to build capacity in the geosciences at minority-serving institutions. Perhaps the most important legacy of the OEDG program has been the establishment of an enthusiastic and effective community of educators, administrators, students and organizations dedicated to increasing diversity in the geosciences. Evaluation data collected for individual OEDG projects has helped to improve the impact of specific projects and increase our understanding of which approaches are more successful in achieving OEDG program goals. In addition, GEO has supported a decade-long, program-wide evaluation of the OEDG portfolio through a contract to the American Institutes for Research (AIR). Synthesis of results from both the project- and program-level evaluation activities has identified evidence-based 'best practices' that are essential for achieving success in broadening participation

  15. 47 CFR 64.2011 - Notification of customer proprietary network information security breaches.

    Science.gov (United States)

    2010-10-01

    ... information security breaches. 64.2011 Section 64.2011 Telecommunication FEDERAL COMMUNICATIONS COMMISSION... Proprietary Network Information § 64.2011 Notification of customer proprietary network information security... criminal investigation or national security, such agency may direct the carrier not to so disclose or...

  16. Summaries of physical research in the geosciences

    Energy Technology Data Exchange (ETDEWEB)

    1986-09-01

    The summaries in this document describe the scope of the individual programs and detail the research performed during 1984-1985. The Geosciences Research Program includes research in geology, petrology, geophysics, geochemistry, hydrology, solar-terrestrial relationships, aeronomy, seismology, and natural resource analysis, including their various subdivisions and interdisciplinary areas.

  17. Field Studies—Essential Cognitive Foundations for Geoscience Expertise

    Science.gov (United States)

    Goodwin, C.; Mogk, D. W.

    2010-12-01

    Learning in the field has traditionally been one of the fundamental components of the geoscience curriculum. Field experiences have been attributed to having positive impacts on cognitive, affective, metacognitive, mastery of skills and social components of learning geoscience. The development of geoscience thinking, and of geoscience expertise, encompasses a number of learned behaviors that contribute to the progress of Science and the development of scientists. By getting out into Nature, students necessarily engage active and experiential learning. The open, dynamic, heterogeneous and complex Earth system provides ample opportunities to learn by inquiry and discovery. Learning in this environment requires that students make informed decisions and to think critically about what is important to observe, and what should be excluded in the complex overload of information provided by Nature. Students must learn to employ the full range of cognitive skills that include observation, description, interpretation, analysis and synthesis that lead to “deep learning”. They must be able to integrate and rationalize observations of Nature with modern experimental, analytical, theoretical, and modeling approaches to studying the Earth system, and they must be able to iterate between what is known and what is yet to be discovered. Immersion in the field setting provides students with a sense of spatial and temporal scales of natural phenomena that can not be derived in other learning environments. The field setting provides strong sensory inputs that stimulate cognition and memories that will be available for future application. The field environment also stimulates strong affective responses related to motivation, curiosity, a sense of “ownership” of field projects, and inclusion in shared experiences that carry on throughout professional careers. The nature of field work also contains a strong metacognitive component, as students learn to be aware of what and how they

  18. Research on the Architecture of a Basic Reconfigurable Information Communication Network

    Directory of Open Access Journals (Sweden)

    Ruimin Wang

    2013-01-01

    Full Text Available The current information network cannot fundamentally meet some urgent requirements, such as providing ubiquitous information services and various types of heterogeneous network, supporting diverse and comprehensive network services, possessing high quality communication effects, ensuring the security and credibility of information interaction, and implementing effective supervisory control. This paper provides the theory system for the basic reconfigurable information communication network based on the analysis of present problems on the Internet and summarizes the root of these problems. It also provides an in-depth discussion about the related technologies and the prime components of the architecture.

  19. The Roles of Working Memory and Cognitive Load in Geoscience Learning

    Science.gov (United States)

    Jaeger, Allison J.; Shipley, Thomas F.; Reynolds, Stephen J.

    2017-01-01

    Working memory is a cognitive system that allows for the simultaneous storage and processing of active information. While working memory has been implicated as an important element for success in many science, technology, engineering, and mathematics (STEM) fields, its specific role in geoscience learning is not fully understood. The major goal of…

  20. Government information collections in the networked environment new issues and models

    CERN Document Server

    Cheverie, Joan F

    2013-01-01

    This insightful book explores the challenging issues related to effective access to government information.Amidst all the chaos of today's dynamic information transition period, the only constants related to government information are change and inconsistency, yet with Government Information Collections in the Networked Environment: New Issues and Models, you will defeat the challenging issues and take advantage of the opportunities that networked government information collections have to offer. This valuable book gives you a fresh opportunity to rethink collecting activities and to

  1. Inferring influenza global transmission networks without complete phylogenetic information.

    Science.gov (United States)

    Aris-Brosou, Stéphane

    2014-03-01

    Influenza is one of the most severe respiratory infections affecting humans throughout the world, yet the dynamics of its global transmission network are still contentious. Here, I describe a novel combination of phylogenetics, time series, and graph theory to analyze 14.25 years of data stratified in space and in time, focusing on the main target of the human immune response, the hemagglutinin gene. While bypassing the complete phylogenetic inference of huge data sets, the method still extracts information suggesting that waves of genetic or of nucleotide diversity circulate continuously around the globe for subtypes that undergo sustained transmission over several seasons, such as H3N2 and pandemic H1N1/09, while diversity of prepandemic H1N1 viruses had until 2009 a noncontinuous transmission pattern consistent with a source/sink model. Irrespective of the shift in the structure of H1N1 diversity circulation with the emergence of the pandemic H1N1/09 strain, US prevalence peaks during the winter months when genetic diversity is at its lowest. This suggests that a dominant strain is generally responsible for epidemics and that monitoring genetic and/or nucleotide diversity in real time could provide public health agencies with an indirect estimate of prevalence.

  2. Unsupervised Neural Network Quantifies the Cost of Visual Information Processing.

    Directory of Open Access Journals (Sweden)

    Levente L Orbán

    Full Text Available Untrained, "flower-naïve" bumblebees display behavioural preferences when presented with visual properties such as colour, symmetry, spatial frequency and others. Two unsupervised neural networks were implemented to understand the extent to which these models capture elements of bumblebees' unlearned visual preferences towards flower-like visual properties. The computational models, which are variants of Independent Component Analysis and Feature-Extracting Bidirectional Associative Memory, use images of test-patterns that are identical to ones used in behavioural studies. Each model works by decomposing images of floral patterns into meaningful underlying factors. We reconstruct the original floral image using the components and compare the quality of the reconstructed image to the original image. Independent Component Analysis matches behavioural results substantially better across several visual properties. These results are interpreted to support a hypothesis that the temporal and energetic costs of information processing by pollinators served as a selective pressure on floral displays: flowers adapted to pollinators' cognitive constraints.

  3. Performance Analysis of Space Information Networks with Backbone Satellite Relaying for Vehicular Networks

    Directory of Open Access Journals (Sweden)

    Jian Jiao

    2017-01-01

    Full Text Available Space Information Network (SIN with backbone satellites relaying for vehicular network (VN communications is regarded as an effective strategy to provide diverse vehicular services in a seamless, efficient, and cost-effective manner in rural areas and highways. In this paper, we investigate the performance of SIN return channel cooperative communications via an amplify-and-forward (AF backbone satellite relaying for VN communications, where we assume that both of the source-destination and relay-destination links undergo Shadowed-Rician fading and the source-relay link follows Rician fading, respectively. In this SIN-assisted VN communication scenario, we first obtain the approximate statistical distributions of the equivalent end-to-end signal-to-noise ratio (SNR of the system. Then, we derive the closed-form expressions to efficiently evaluate the average symbol error rate (ASER of the system. Furthermore, the ASER expressions are taking into account the effect of satellite perturbation of the backbone relaying satellite, which reveal the accumulated error of the antenna pointing error. Finally, simulation results are provided to verify the accuracy of our theoretical analysis and show the impact of various parameters on the system performance.

  4. Actor Network Theory Approach and its Application in Investigating Agricultural Climate Information System

    Directory of Open Access Journals (Sweden)

    Maryam Sharifzadeh

    2013-03-01

    Full Text Available Actor network theory as a qualitative approach to study complex social factors and process of socio-technical interaction provides new concepts and ideas to understand socio-technical nature of information systems. From the actor network theory viewpoint, agricultural climate information system is a network consisting of actors, actions and information related processes (production, transformation, storage, retrieval, integration, diffusion and utilization, control and management, and system mechanisms (interfaces and networks. Analysis of such systemsembody the identification of basic components and structure of the system (nodes –thedifferent sources of information production, extension, and users, and the understanding of how successfully the system works (interaction and links – in order to promote climate knowledge content and improve system performance to reach agricultural development. The present research attempted to introduce actor network theory as research framework based on network view of agricultural climate information system.

  5. Recruitment Strategies for Geoscience Majors: Conceptual Framework and Practical Suggestions

    Science.gov (United States)

    Richardson, R. M.; Eyles, C.; Ormand, C. J.

    2009-12-01

    One characteristic of strong geoscience departments is that they recruit and retain quality students. In a survey to over 900 geoscience departments in the US and Canada several years ago nearly 90% of respondents indicated that recruiting and retaining students was important. Two years ago we offered a pre-GSA workshop on recruiting and retaining students that attracted over 30 participants from over 20 different institutions, from liberal arts colleges to state universities to research intensive universities. Since then we have sought additional feedback from a presentation to the AGU Heads & Chairs at a Fall AGU meeting, and most recently from a workshop on strengthening geoscience programs in June 2009. In all of these settings, a number of themes and concrete strategies have emerged. Key themes included strategies internal to the department/institution; strategies that reach beyond the department/institution; determining how scalable/transferable strategies that work in one setting are to your own setting; identifying measures of success; and developing or improving on an existing action plan specific to your departmental/institutional setting. The full results of all of these efforts to distill best practices in recruiting students will be shared at the Fall AGU meeting, but some of the best practices for strategies local to the department/institution include: 1) focusing on introductory classes (having the faculty who are most successful in that setting teach them, having one faculty member make a common presentation to all classes about what one can do with a geoscience major, offering topical seminars, etc.); 2) informing students of career opportunities (inviting alumni back to talk to students, using AGI resources, etc.,); 3) creating common space for students to work, study, and be a community; 4) inviting all students earning an ‘A’ (or ‘B’) in introductory classes to a departmental event just for them; and 5) creating a field trip for incoming

  6. Technical Evaluation Report (Workshop on Visualising Network Information)

    National Research Council Canada - National Science Library

    Rasmussen, Lisbeth M

    2006-01-01

    The workshop brought together operational users, developers and researchers to explore the connection between visualisation technologies and network analysis for military and civil protection applications...

  7. A novel Bayesian learning method for information aggregation in modular neural networks

    DEFF Research Database (Denmark)

    Wang, Pan; Xu, Lida; Zhou, Shang-Ming

    2010-01-01

    Modular neural network is a popular neural network model which has many successful applications. In this paper, a sequential Bayesian learning (SBL) is proposed for modular neural networks aiming at efficiently aggregating the outputs of members of the ensemble. The experimental results on eight...... benchmark problems have demonstrated that the proposed method can perform information aggregation efficiently in data modeling....

  8. LaURGE: Louisiana Undergraduate Recruitment and Geoscience Education

    Science.gov (United States)

    Nunn, J. A.; Agnew, J.

    2009-12-01

    NSF and the Shell Foundation sponsor a program called Louisiana Undergraduate Recruitment and Geoscience Education (LaURGE). Goals of LaURGE are: 1) Interweave geoscience education into the existing curriculum; 2) Provide teachers with lesson plans that promote interest in geoscience, critical thinking by students, and are consistent with current knowledge in geoscience; and 3) Provide teachers with supplies that make these lessons the highlights of the course. Biology workshops were held at LSU in Baton Rouge and Centenary College in Shreveport in July 2009. 25 teachers including 5 African-Americans attended the workshops. Teachers were from public and private schools in seven different parishes. Teacher experience ranged from 3 years to 40 years. Courses impacted are Biology, Honors Biology, AP Biology, and Environmental Science. The workshops began with a field trip to Mississippi to collect fossil shark teeth and create a virtual field trip. After the field trip, teachers do a series of activities on fossil shark teeth to illustrate evolution and introduce basic concepts such as geologic time, superposition, and faunal succession. Teachers were also given a $200 budget from which to select fossils for use in their classrooms. One of our exercises explores the evolution of the megatoothed shark lineage leading to Carcharocles megalodon, the largest predatory shark in history with teeth up to 17 cm long. Megatoothed shark teeth have an excellent fossil record and show continuous transitions in morphology from the Eocene to Pliocene. We take advantage of the curiosity of sharks shared by most people, and allow teachers to explore the variations among different shark teeth and to explain the causes of those variations. Objectives are to have teachers (and their students): 1) sort fossil shark teeth into biologically reasonable species; 2) form hypotheses about evolutionary relationships; and 3) describe and interpret evolutionary trends in the fossil Megatoothed

  9. The silent buzz of geosciences: the challenge of geosciences communication in the Italian framework

    Science.gov (United States)

    Rapisardi, Elena; Di Franco, Sabina; Giardino, Marco

    2015-04-01

    Whenever an emergency happens the sophisticated mechanism of risk communication get jammed. The pervasiveness and speed of information, which runs on web and falls on traditional media, has the effect of a flood, bringing to light fractures and fragilities of the communication. A process that seems difficult to innovate and to reframe, so to respond to changing demand of information. "Hyogo Framework for Action" (UNISDR, 2007), underlines that information and communication are key to build Disaster Resilience: disasters knowledge enhances coping capacity of individuals, communities and local governments to better address the risks, calling to action academia, institutions, media and citizens. In the Italian framework, although the communication and information on disasters and risk, are often evoked and invoked in several speeches, conferences and programmes, as a matter of it seems that the initiatives and the communication practices of institutional actors and of the communities lack in coordination and collaboration. The actors of the communication process, institutions, media and academia, have acted mostly either as a "soloist", rarely taking into account the needs of the public, or as competitors of other actors [Peters 2013]. The evolution of web 2.0, is changing the pattern of the relation between disaster cycle and information demand: social media users become both producers and consumers of information, where the institutional information not always succeeded in bridging communication gap (demand/supply). Is there a responsibility related to the open access to scientific knowledge? Is there a responsibility of the "silos" effect of the academia or of the other institutions? We envisage a lack of a socio-historical memory of risk, as the effect of imperfect and poorly coordinated communication. Moreover, disaster communication has been probably too often focused on information when an emergency occurs, rather than on explicit scientific knowledge on

  10. Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks.

    Science.gov (United States)

    Faes, Luca; Nollo, Giandomenico; Krohova, Jana; Czippelova, Barbora; Turianikova, Zuzana; Javorka, Michal

    2017-07-01

    To fully elucidate the complex physiological mechanisms underlying the short-term autonomic regulation of heart period (H), systolic and diastolic arterial pressure (S, D) and respiratory (R) variability, the joint dynamics of these variables need to be explored using multivariate time series analysis. This study proposes the utilization of information-theoretic measures to measure causal interactions between nodes of the cardiovascular/cardiorespiratory network and to assess the nature (synergistic or redundant) of these directed interactions. Indexes of information transfer and information modification are extracted from the H, S, D and R series measured from healthy subjects in a resting state and during postural stress. Computations are performed in the framework of multivariate linear regression, using bootstrap techniques to assess on a single-subject basis the statistical significance of each measure and of its transitions across conditions. We find patterns of information transfer and modification which are related to specific cardiovascular and cardiorespiratory mechanisms in resting conditions and to their modification induced by the orthostatic stress.

  11. Digital Networked Information Society and Public Health: Problems and Promises of Networked Health Communication of Lay Publics.

    Science.gov (United States)

    Kim, Jeong-Nam

    2018-01-01

    This special issue of Health Communication compiles 10 articles to laud the promise and yet confront the problems in the digital networked information society related to public health. We present this anthology of symphony and cacophony of lay individuals' communicative actions in a digital networked information society. The collection of problems and promise of the new digital world may be a cornerstone joining two worlds-pre- and postdigital network society-and we hope this special issue will help better shape our future states of public health.

  12. Supporting REU Leaders and Effective Workforce Development in the Geosciences

    Science.gov (United States)

    Sloan, V.; Haacker, R.

    2014-12-01

    Research shows that research science experiences for undergraduates are key to the engagement of students in science, and teach critical thinking and communication, as well as the professional development skills. Nonetheless, undergraduate research programs are time and resource intensive, and program managers work in relative isolation from each other. The benefits of developing an REU community include sharing strategies and policies, developing collaborative efforts, and providing support to each other. This paper will provide an update on efforts to further develop the Geoscience REU network, including running a national workshop, an email listserv, workshops, and the creation of online resources for REU leaders. The goal is to strengthen the connections between REU community members, support the sharing of best practices in a changing REU landscape, and to make progress in formalizing tools for REU site managers.

  13. Number of women faculty in the geosciences increasing, but slowly

    Science.gov (United States)

    Wolfe, Cecily J.

    Why are there so few women faculty in the geosciences, while there are large numbers of women undergraduate and graduate students? According to National Science Foundation (NSF) estimates [e.g.,NSF, 1996] for 1995 in the Earth, atmospheric, and oceanic sciences, women made up 34% of the bachelor's degrees awarded, 35% of the graduate students enrolled, and 22% of the doctorates granted. Yet progress has been slower in achieving adequate representation of women geoscientists in academia, where women represent only 12% of the faculty. The barriers confronting the advancement of women scientists are complex and difficult to unravel. Proposed factors include cultural stereotypes, childhood socialization, lack of women mentors and role models, lack of critical mass, family responsibilities, dual-career-couple status, isolation from collegial networks, different research and publishing strategy, and less adequate access to institutional resources [c.f., Widnall, 1988; Zuckerman et al., 1991].

  14. Growing Community Roots for the Geosciences in Miami, Florida, A Program Aimed at High School and Middle School Students to Increase Awareness of Career and Educational Opportunities in the Geosciences

    Science.gov (United States)

    Whitman, D.; Hickey-Vargas, R.; Gebelein, J.; Draper, G.; Rego, R.

    2013-12-01

    Growing Community Roots for the Geosciences is a 2-year pilot recruitment project run by the Department of Earth and Environment at Florida International University (FIU) and funded by the NSF OEDG (Opportunities for Enhancing Diversity in the Geosciences) program. FIU, the State University of Florida in Miami is a federally recognized Minority Serving Institution with over 70% of the undergraduate population coming from groups underrepresented in the geoscience workforce. The goal of this project is to inform students enrolled in the local middle and high schools to career opportunities in the geosciences and to promote pathways for underrepresented groups to university geoscience degree programs. The first year's program included a 1-week workshop for middle school teachers and a 2-week summer camp aimed at high school students in the public school system. The teacher workshop was attended by 20 teachers who taught comprehensive and physical science in grades 6-8. It included lectures on geoscience careers, fundamental concepts of solid earth and atmospheric science, hands on exercises with earth materials, fossils and microscopy, interpretation of landform with Google Earth imagery, and a field trip to a local working limestone quarry. On the first day of the workshop, participants were surveyed on their general educational background in science and their familiarity and comfort with teaching basic geoscience concepts. On the final day, the teachers participated in a group discussion where we discussed how to make geoscience topics and careers more visible in the school curriculum. The 2-week summer camp was attended by 21 students entering grades 9-12. The program included hands on exercises on geoscience and GIS concepts, field trips to local barrier islands, the Everglades, a limestone quarry and a waste to energy facility, and tours of the NOAA National Hurricane Center and the FIU SEM lab. Participants were surveyed on their general educational background

  15. DATA MAYHEM VERSUS NIMBLE INFORMATION: TRANSFORMING HECTIC IMAGERY INTELLIGENCE DATA INTO ACTIONABLE INFORMATION USING ARTIFICIAL NEURAL NETWORKS

    Science.gov (United States)

    2017-10-01

    organized intelligence with a comprehensive account of the information derived, validated by intelligence requirements tasking. Third Phase...AU/ACSC/MORALES/AY17 AIR COMMAND AND STAFF COLLEGE DISTANCE LEARNING AIR UNIVERSITY DATA MAYHEM VERSUS NIMBLE INFORMATION : TRANSFORMING...HECTIC IMAGERY INTELLIGENCE DATA INTO ACTIONABLE INFORMATION USING ARTIFICIAL NEURAL NETWORKS by Luis A. Morales, Major, USAF A Research

  16. 2010 VA Information Technologies Agency (VITA)/VA Geographic Information Network (VGIN) Lidar: Eastern Shore, VA (Accomack and Northampton Counties)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Virginia Geographic Information Network (VGIN) contracted with Sanborn to provide LiDAR mapping services for Accomack and Northampton counties on the eastern...

  17. Information Technology Management: Select Controls for the Information Security of the Ground-Based Midcourse Defense Communications Network

    National Research Council Canada - National Science Library

    Truex, Kathryn M; Lamar, Karen J; Leighton, George A; Woodruff, Courtney E; Brunetti, Tina N; Russell, Dawn M

    2006-01-01

    ... to the Ground-Based Midcourse Defense Communications Network should read this report to reduce the risk of interruption, misuse, modification, and unauthorized access to information in the system...

  18. Wireless multimedia sensor networks on reconfigurable hardware information reduction techniques

    CERN Document Server

    Ang, Li-minn; Chew, Li Wern; Yeong, Lee Seng; Chia, Wai Chong

    2013-01-01

    Traditional wireless sensor networks (WSNs) capture scalar data such as temperature, vibration, pressure, or humidity. Motivated by the success of WSNs and also with the emergence of new technology in the form of low-cost image sensors, researchers have proposed combining image and audio sensors with WSNs to form wireless multimedia sensor networks (WMSNs).

  19. Network Information Management: The Key To Providing High WAN Availability.

    Science.gov (United States)

    Tysdal, Craig

    1996-01-01

    Discusses problems associated with increasing corporate network complexity as a result of the proliferation of client/server applications at remote locations, and suggests the key to providing high WAN (wide area network) availability is relational databases used in an integrated management approach. (LRW)

  20. The principles of artificial neural network information processing

    International Nuclear Information System (INIS)

    Dai, Ru-Wei

    1993-01-01

    In this article, the basic structure of an artificial neuron is first introduced. In addition, principles of artificial neural network as well as several important artificial neural models such as perception, back propagation model, Hopfield net, and ART model are briefly discussed and analyzed. Finally the application of artificial neural network for Chinese character recognition is also given. (author)