WorldWideScience

Sample records for science distributed generationdistributed

  1. Generation-distribution of electric power in France and in its regions in 2004 and 2005

    International Nuclear Information System (INIS)

    2007-09-01

    This report presents the temporary results for the year 2005 of the power generation and transportation/distribution in France. Power generation data come from the official exhaustive annual inquiry acknowledged by the national council of statistical information (CNIS). It concerns all power producers, like EDF, Compagnie Nationale du Rhone (CNR), Societe Nationale d'Electricite et de Thermique (SNET), Societe Hydroelectrique du Midi (SHEM), and some independent producers who generate electricity for their own needs or for the supply of the grid (about 3000 companies). Data relative to power transportation and distribution are established by another administrative annual inquiry addressed to utilities (EDF-Reseau de Distribution, local distribution companies) and to the power transportation network manager (RTE EDF-Transport). The statistical results presented in this document are established from data settled on June 11, 2007. In a context of market liberalization, these two inquiries are of particular importance. They represent a measurement tool of the public authorities' action in favor of the security of supplies, and they allow to have available a detailed, reliable and regularly updated description of France's power generation and transportation facilities by energy source and by geographical area. (J.S.)

  2. Enabling distributed petascale science

    International Nuclear Information System (INIS)

    Baranovski, Andrew; Bharathi, Shishir; Bresnahan, John

    2007-01-01

    Petascale science is an end-to-end endeavour, involving not only the creation of massive datasets at supercomputers or experimental facilities, but the subsequent analysis of that data by a user community that may be distributed across many laboratories and universities. The new SciDAC Center for Enabling Distributed Petascale Science (CEDPS) is developing tools to support this end-to-end process. These tools include data placement services for the reliable, high-performance, secure, and policy-driven placement of data within a distributed science environment; tools and techniques for the construction, operation, and provisioning of scalable science services; and tools for the detection and diagnosis of failures in end-to-end data placement and distributed application hosting configurations. In each area, we build on a strong base of existing technology and have made useful progress in the first year of the project. For example, we have recently achieved order-of-magnitude improvements in transfer times (for lots of small files) and implemented asynchronous data staging capabilities; demonstrated dynamic deployment of complex application stacks for the STAR experiment; and designed and deployed end-to-end troubleshooting services. We look forward to working with SciDAC application and technology projects to realize the promise of petascale science

  3. The Emergent Capabilities of Distributed Satellites and Methods for Selecting Distributed Satellite Science Missions

    Science.gov (United States)

    Corbin, B. A.; Seager, S.; Ross, A.; Hoffman, J.

    2017-12-01

    Distributed satellite systems (DSS) have emerged as an effective and cheap way to conduct space science, thanks to advances in the small satellite industry. However, relatively few space science missions have utilized multiple assets to achieve their primary scientific goals. Previous research on methods for evaluating mission concepts designs have shown that distributed systems are rarely competitive with monolithic systems, partially because it is difficult to quantify the added value of DSSs over monolithic systems. Comparatively little research has focused on how DSSs can be used to achieve new, fundamental space science goals that cannot be achieved with monolithic systems or how to choose a design from a larger possible tradespace of options. There are seven emergent capabilities of distributed satellites: shared sampling, simultaneous sampling, self-sampling, census sampling, stacked sampling, staged sampling, and sacrifice sampling. These capabilities are either fundamentally, analytically, or operationally unique in their application to distributed science missions, and they can be leveraged to achieve science goals that are either impossible or difficult and costly to achieve with monolithic systems. The Responsive Systems Comparison (RSC) method combines Multi-Attribute Tradespace Exploration with Epoch-Era Analysis to examine benefits, costs, and flexible options in complex systems over the mission lifecycle. Modifications to the RSC method as it exists in previously published literature were made in order to more accurately characterize how value is derived from space science missions. New metrics help rank designs by the value derived over their entire mission lifecycle and show more accurate cumulative value distributions. The RSC method was applied to four case study science missions that leveraged the emergent capabilities of distributed satellites to achieve their primary science goals. In all four case studies, RSC showed how scientific value was

  4. Posterior distributions for likelihood ratios in forensic science.

    Science.gov (United States)

    van den Hout, Ardo; Alberink, Ivo

    2016-09-01

    Evaluation of evidence in forensic science is discussed using posterior distributions for likelihood ratios. Instead of eliminating the uncertainty by integrating (Bayes factor) or by conditioning on parameter values, uncertainty in the likelihood ratio is retained by parameter uncertainty derived from posterior distributions. A posterior distribution for a likelihood ratio can be summarised by the median and credible intervals. Using the posterior mean of the distribution is not recommended. An analysis of forensic data for body height estimation is undertaken. The posterior likelihood approach has been criticised both theoretically and with respect to applicability. This paper addresses the latter and illustrates an interesting application area. Copyright © 2016 The Chartered Society of Forensic Sciences. Published by Elsevier Ireland Ltd. All rights reserved.

  5. Tradespace Analysis Tool for Designing Earth Science Distributed Missions

    Data.gov (United States)

    National Aeronautics and Space Administration — The ESTO 2030 Science Vision envisions the future of Earth Science to be characterized by 'many more distributed observations,' and 'formation-flying [missions that]...

  6. Climate Science's Globally Distributed Infrastructure

    Science.gov (United States)

    Williams, D. N.

    2016-12-01

    The Earth System Grid Federation (ESGF) is primarily funded by the Department of Energy's (DOE's) Office of Science (the Office of Biological and Environmental Research [BER] Climate Data Informatics Program and the Office of Advanced Scientific Computing Research Next Generation Network for Science Program), the National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), and the National Science Foundation (NSF), the European Infrastructure for the European Network for Earth System Modeling (IS-ENES), and the Australian National University (ANU). Support also comes from other U.S. federal and international agencies. The federation works across multiple worldwide data centers and spans seven international network organizations to provide users with the ability to access, analyze, and visualize data using a globally federated collection of networks, computers, and software. Its architecture employs a series of geographically distributed peer nodes that are independently administered and united by common federation protocols and application programming interfaces (APIs). The full ESGF infrastructure has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the Coupled Model Intercomparison Project (CMIP; output used by the Intergovernmental Panel on Climate Change assessment reports), multiple model intercomparison projects (MIPs; endorsed by the World Climate Research Programme [WCRP]), and the Accelerated Climate Modeling for Energy (ACME; ESGF is included in the overarching ACME workflow process to store model output). ESGF is a successful example of integration of disparate open-source technologies into a cohesive functional system that serves the needs the global climate science community. Data served by ESGF includes not only model output but also observational data from satellites and instruments, reanalysis, and generated images.

  7. The distributed organization of science : with empirical illustrations from the field of diabetes medicine

    NARCIS (Netherlands)

    Hardeman, S.

    2012-01-01

    The premise of this thesis holds that the organization of science is distributed in nature. That is, science takes place all over the world and within different spheres of society. Within the literature, the distributed organization of science is characterized in different ways. While some focus

  8. Rf system specifications for a linear accelerator

    International Nuclear Information System (INIS)

    Young, A.; Eaton, L.E.

    1992-01-01

    A linear accelerator contains many systems; however, the most complex and costly is the RF system. The goal of an RF system is usually simply stated as maintaining the phase and amplitude of the RF signal within a given tolerance to accelerate the charged particle beam. An RF system that drives a linear accelerator needs a complete system specification, which should contain specifications for all the subsystems (i.e., high-power RF, low-level RF, RF generation/distribution, and automation control). This paper defines a format for the specifications of these subsystems and discusses each RF subsystem independently to provide a comprehensive understanding of the function of each subsystem. This paper concludes with an example of a specification spreadsheet allowing one to input the specifications of a subsystem. Thus, some fundamental parameters (i.e., the cost and size) of the RF system can be determined

  9. Using spatial principles to optimize distributed computing for enabling the physical science discoveries.

    Science.gov (United States)

    Yang, Chaowei; Wu, Huayi; Huang, Qunying; Li, Zhenlong; Li, Jing

    2011-04-05

    Contemporary physical science studies rely on the effective analyses of geographically dispersed spatial data and simulations of physical phenomena. Single computers and generic high-end computing are not sufficient to process the data for complex physical science analysis and simulations, which can be successfully supported only through distributed computing, best optimized through the application of spatial principles. Spatial computing, the computing aspect of a spatial cyberinfrastructure, refers to a computing paradigm that utilizes spatial principles to optimize distributed computers to catalyze advancements in the physical sciences. Spatial principles govern the interactions between scientific parameters across space and time by providing the spatial connections and constraints to drive the progression of the phenomena. Therefore, spatial computing studies could better position us to leverage spatial principles in simulating physical phenomena and, by extension, advance the physical sciences. Using geospatial science as an example, this paper illustrates through three research examples how spatial computing could (i) enable data intensive science with efficient data/services search, access, and utilization, (ii) facilitate physical science studies with enabling high-performance computing capabilities, and (iii) empower scientists with multidimensional visualization tools to understand observations and simulations. The research examples demonstrate that spatial computing is of critical importance to design computing methods to catalyze physical science studies with better data access, phenomena simulation, and analytical visualization. We envision that spatial computing will become a core technology that drives fundamental physical science advancements in the 21st century.

  10. Data Grid tools: enabling science on big distributed data

    Energy Technology Data Exchange (ETDEWEB)

    Allcock, Bill [Mathematics and Computer Science, Argonne National Laboratory, Argonne, IL 60439 (United States); Chervenak, Ann [Information Sciences Institute, University of Southern California, Marina del Rey, CA 90291 (United States); Foster, Ian [Mathematics and Computer Science, Argonne National Laboratory, Argonne, IL 60439 (United States); Department of Computer Science, University of Chicago, Chicago, IL 60615 (United States); Kesselman, Carl [Information Sciences Institute, University of Southern California, Marina del Rey, CA 90291 (United States); Livny, Miron [Department of Computer Science, University of Wisconsin, Madison, WI 53705 (United States)

    2005-01-01

    A particularly demanding and important challenge that we face as we attempt to construct the distributed computing machinery required to support SciDAC goals is the efficient, high-performance, reliable, secure, and policy-aware management of large-scale data movement. This problem is fundamental to diverse application domains including experimental physics (high energy physics, nuclear physics, light sources), simulation science (climate, computational chemistry, fusion, astrophysics), and large-scale collaboration. In each case, highly distributed user communities require high-speed access to valuable data, whether for visualization or analysis. The quantities of data involved (terabytes to petabytes), the scale of the demand (hundreds or thousands of users, data-intensive analyses, real-time constraints), and the complexity of the infrastructure that must be managed (networks, tertiary storage systems, network caches, computers, visualization systems) make the problem extremely challenging. Data management tools developed under the auspices of the SciDAC Data Grid Middleware project have become the de facto standard for data management in projects worldwide. Day in and day out, these tools provide the 'plumbing' that allows scientists to do more science on an unprecedented scale in production environments.

  11. Data Grid tools: enabling science on big distributed data

    International Nuclear Information System (INIS)

    Allcock, Bill; Chervenak, Ann; Foster, Ian; Kesselman, Carl; Livny, Miron

    2005-01-01

    A particularly demanding and important challenge that we face as we attempt to construct the distributed computing machinery required to support SciDAC goals is the efficient, high-performance, reliable, secure, and policy-aware management of large-scale data movement. This problem is fundamental to diverse application domains including experimental physics (high energy physics, nuclear physics, light sources), simulation science (climate, computational chemistry, fusion, astrophysics), and large-scale collaboration. In each case, highly distributed user communities require high-speed access to valuable data, whether for visualization or analysis. The quantities of data involved (terabytes to petabytes), the scale of the demand (hundreds or thousands of users, data-intensive analyses, real-time constraints), and the complexity of the infrastructure that must be managed (networks, tertiary storage systems, network caches, computers, visualization systems) make the problem extremely challenging. Data management tools developed under the auspices of the SciDAC Data Grid Middleware project have become the de facto standard for data management in projects worldwide. Day in and day out, these tools provide the 'plumbing' that allows scientists to do more science on an unprecedented scale in production environments

  12. Between Precautionary Principle and "Sound Science": Distributing the Burdens of Proof

    NARCIS (Netherlands)

    Belt, v.d. H.; Gremmen, B.

    2002-01-01

    Opponents of biotechnology ofteninvoke the Precautionary Principle to advancetheir cause, whereas biotech enthusiasts preferto appeal to ``sound science.'' Publicauthorities are still groping for a usefuldefinition. A crucial issue in this debate isthe distribution of the burden of proof amongthe

  13. Commentary on "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning"

    Science.gov (United States)

    Hewitt, Jim

    2015-01-01

    The article, "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning" is an interesting study that operates at the intersection of learning theory and learning analytics. The authors observe that the relationship between learning theory and research in the learning analytics field is constrained by several…

  14. 2000 Survey of Distributed Spacecraft Technologies and Architectures for NASA's Earth Science Enterprise in the 2010-2025 Timeframe

    Science.gov (United States)

    Ticker, Ronald L.; Azzolini, John D.

    2000-01-01

    The study investigates NASA's Earth Science Enterprise needs for Distributed Spacecraft Technologies in the 2010-2025 timeframe. In particular, the study focused on the Earth Science Vision Initiative and extrapolation of the measurement architecture from the 2002-2010 time period. Earth Science Enterprise documents were reviewed. Interviews were conducted with a number of Earth scientists and technologists. fundamental principles of formation flying were also explored. The results led to the development of four notional distribution spacecraft architectures. These four notional architectures (global constellations, virtual platforms, precision formation flying, and sensorwebs) are presented. They broadly and generically cover the distributed spacecraft architectures needed by Earth Science in the post-2010 era. These notional architectures are used to identify technology needs and drivers. Technology needs are subsequently grouped into five categories: Systems and architecture development tools; Miniaturization, production, manufacture, test and calibration; Data networks and information management; Orbit control, planning and operations; and Launch and deployment. The current state of the art and expected developments are explored. High-value technology areas are identified for possible future funding emphasis.

  15. Science gateways for distributed computing infrastructures development framework and exploitation by scientific user communities

    CERN Document Server

    Kacsuk, Péter

    2014-01-01

    The book describes the science gateway building technology developed in the SCI-BUS European project and its adoption and customization method, by which user communities, such as biologists, chemists, and astrophysicists, can build customized, domain-specific science gateways. Many aspects of the core technology are explained in detail, including its workflow capability, job submission mechanism to various grids and clouds, and its data transfer mechanisms among several distributed infrastructures. The book will be useful for scientific researchers and IT professionals engaged in the develop

  16. Citizen science contributes to our knowledge of invasive plant species distributions

    Science.gov (United States)

    Crall, Alycia W.; Jarnevich, Catherine S.; Young, Nicholas E.; Panke, Brendon; Renz, Mark; Stohlgren, Thomas

    2015-01-01

    Citizen science is commonly cited as an effective approach to expand the scale of invasive species data collection and monitoring. However, researchers often hesitate to use these data due to concerns over data quality. In light of recent research on the quality of data collected by volunteers, we aimed to demonstrate the extent to which citizen science data can increase sampling coverage, fill gaps in species distributions, and improve habitat suitability models compared to professionally generated data sets used in isolation. We combined data sets from professionals and volunteers for five invasive plant species (Alliaria petiolata, Berberis thunbergii, Cirsium palustre, Pastinaca sativa, Polygonum cuspidatum) in portions of Wisconsin. Volunteers sampled counties not sampled by professionals for three of the five species. Volunteers also added presence locations within counties not included in professional data sets, especially in southern portions of the state where professional monitoring activities had been minimal. Volunteers made a significant contribution to the known distribution, environmental gradients sampled, and the habitat suitability of P. cuspidatum. Models generated with professional data sets for the other four species performed reasonably well according to AUC values (>0.76). The addition of volunteer data did not greatly change model performance (AUC > 0.79) but did change the suitability surface generated by the models, making them more realistic. Our findings underscore the need to merge data from multiple sources to improve knowledge of current species distributions, and to predict their movement under present and future environmental conditions. The efficiency and success of these approaches require that monitoring efforts involve multiple stakeholders in continuous collaboration via established monitoring networks.

  17. Foundations of data-intensive science: Technology and practice for high throughput, widely distributed, data management and analysis systems

    Science.gov (United States)

    Johnston, William; Ernst, M.; Dart, E.; Tierney, B.

    2014-04-01

    Today's large-scale science projects involve world-wide collaborations depend on moving massive amounts of data from an instrument to potentially thousands of computing and storage systems at hundreds of collaborating institutions to accomplish their science. This is true for ATLAS and CMS at the LHC, and it is true for the climate sciences, Belle-II at the KEK collider, genome sciences, the SKA radio telescope, and ITER, the international fusion energy experiment. DOE's Office of Science has been collecting science discipline and instrument requirements for network based data management and analysis for more than a decade. As a result of this certain key issues are seen across essentially all science disciplines that rely on the network for significant data transfer, even if the data quantities are modest compared to projects like the LHC experiments. These issues are what this talk will address; to wit: 1. Optical signal transport advances enabling 100 Gb/s circuits that span the globe on optical fiber with each carrying 100 such channels; 2. Network router and switch requirements to support high-speed international data transfer; 3. Data transport (TCP is still the norm) requirements to support high-speed international data transfer (e.g. error-free transmission); 4. Network monitoring and testing techniques and infrastructure to maintain the required error-free operation of the many R&E networks involved in international collaborations; 5. Operating system evolution to support very high-speed network I/O; 6. New network architectures and services in the LAN (campus) and WAN networks to support data-intensive science; 7. Data movement and management techniques and software that can maximize the throughput on the network connections between distributed data handling systems, and; 8. New approaches to widely distributed workflow systems that can support the data movement and analysis required by the science. All of these areas must be addressed to enable large

  18. Cassini Information Management System in Distributed Operations Collaboration and Cassini Science Planning

    Science.gov (United States)

    Equils, Douglas J.

    2008-01-01

    Launched on October 15, 1997, the Cassini-Huygens spacecraft began its ambitious journey to the Saturnian system with a complex suite of 12 scientific instruments, and another 6 instruments aboard the European Space Agencies Huygens Probe. Over the next 6 1/2 years, Cassini would continue its relatively simplistic cruise phase operations, flying past Venus, Earth, and Jupiter. However, following Saturn Orbit Insertion (SOI), Cassini would become involved in a complex series of tasks that required detailed resource management, distributed operations collaboration, and a data base for capturing science objectives. Collectively, these needs were met through a web-based software tool designed to help with the Cassini uplink process and ultimately used to generate more robust sequences for spacecraft operations. In 2001, in conjunction with the Southwest Research Institute (SwRI) and later Venustar Software and Engineering Inc., the Cassini Information Management System (CIMS) was released which enabled the Cassini spacecraft and science planning teams to perform complex information management and team collaboration between scientists and engineers in 17 countries. Originally tailored to help manage the science planning uplink process, CIMS has been actively evolving since its inception to meet the changing and growing needs of the Cassini uplink team and effectively reduce mission risk through a series of resource management validation algorithms. These algorithms have been implemented in the web-based software tool to identify potential sequence conflicts early in the science planning process. CIMS mitigates these sequence conflicts through identification of timing incongruities, pointing inconsistencies, flight rule violations, data volume issues, and by assisting in Deep Space Network (DSN) coverage analysis. In preparation for extended mission operations, CIMS has also evolved further to assist in the planning and coordination of the dual playback redundancy of

  19. Probing the structure of complex solids using a distributed computing approach-Applications in zeolite science

    International Nuclear Information System (INIS)

    French, Samuel A.; Coates, Rosie; Lewis, Dewi W.; Catlow, C. Richard A.

    2011-01-01

    We demonstrate the viability of distributed computing techniques employing idle desktop computers in investigating complex structural problems in solids. Through the use of a combined Monte Carlo and energy minimisation method, we show how a large parameter space can be effectively scanned. By controlling the generation and running of different configurations through a database engine, we are able to not only analyse the data 'on the fly' but also direct the running of jobs and the algorithms for generating further structures. As an exemplar case, we probe the distribution of Al and extra-framework cations in the structure of the zeolite Mordenite. We compare our computed unit cells with experiment and find that whilst there is excellent correlation between computed and experimentally derived unit cell volumes, cation positioning and short-range Al ordering (i.e. near neighbour environment), there remains some discrepancy in the distribution of Al throughout the framework. We also show that stability-structure correlations only become apparent once a sufficiently large sample is used. - Graphical Abstract: Aluminium distributions in zeolites are determined using e-science methods. Highlights: → Use of e-science methods to search configurationally space. → Automated control of space searching. → Identify key structural features conveying stability. → Improved correlation of computed structures with experimental data.

  20. Materials Science Research Rack-1 Fire Suppressant Distribution Test Report

    Science.gov (United States)

    Wieland, P. O.

    2002-01-01

    Fire suppressant distribution testing was performed on the Materials Science Research Rack-1 (MSRR-1), a furnace facility payload that will be installed in the U.S. Lab module of the International Space Station. Unlike racks that were tested previously, the MSRR-1 uses the Active Rack Isolation System (ARIS) to reduce vibration on experiments, so the effects of ARIS on fire suppressant distribution were unknown. Two tests were performed to map the distribution of CO2 fire suppressant throughout a mockup of the MSRR-1 designed to have the same component volumes and flowpath restrictions as the flight rack. For the first test, the average maximum CO2 concentration for the rack was 60 percent, achieved within 45 s of discharge initiation, meeting the requirement to reach 50 percent throughout the rack within 1 min. For the second test, one of the experiment mockups was removed to provide a worst-case configuration, and the average maximum CO2 concentration for the rack was 58 percent. Comparing the results of this testing with results from previous testing leads to several general conclusions that can be used to evaluate future racks. The MSRR-1 will meet the requirements for fire suppressant distribution. Primary factors that affect the ability to meet the CO2 distribution requirements are the free air volume in the rack and the total area and distribution of openings in the rack shell. The length of the suppressant flowpath and degree of tortuousness has little correlation with CO2 concentration. The total area of holes in the rack shell could be significantly increased. The free air volume could be significantly increased. To ensure the highest maximum CO2 concentration, the PFE nozzle should be inserted to the stop on the nozzle.

  1. Universality of rank-ordering distributions in the arts and sciences.

    Directory of Open Access Journals (Sweden)

    Gustavo Martínez-Mekler

    Full Text Available Searching for generic behaviors has been one of the driving forces leading to a deep understanding and classification of diverse phenomena. Usually a starting point is the development of a phenomenology based on observations. Such is the case for power law distributions encountered in a wealth of situations coming from physics, geophysics, biology, lexicography as well as social and financial networks. This finding is however restricted to a range of values outside of which finite size corrections are often invoked. Here we uncover a universal behavior of the way in which elements of a system are distributed according to their rank with respect to a given property, valid for the full range of values, regardless of whether or not a power law has previously been suggested. We propose a two parameter functional form for these rank-ordered distributions that gives excellent fits to an impressive amount of very diverse phenomena, coming from the arts, social and natural sciences. It is a discrete version of a generalized beta distribution, given by f(r = A(N+1-r(b/r(a, where r is the rank, N its maximum value, A the normalization constant and (a, b two fitting exponents. Prompted by our genetic sequence observations we present a growth probabilistic model incorporating mutation-duplication features that generates data complying with this distribution. The competition between permanence and change appears to be a relevant, though not necessary feature. Additionally, our observations mainly of social phenomena suggest that a multifactorial quality resulting from the convergence of several heterogeneous underlying processes is an important feature. We also explore the significance of the distribution parameters and their classifying potential. The ubiquity of our findings suggests that there must be a fundamental underlying explanation, most probably of a statistical nature, such as an appropriate central limit theorem formulation.

  2. Web Services Implementations at Land Process and Goddard Earth Sciences Distributed Active Archive Centers

    Science.gov (United States)

    Cole, M.; Bambacus, M.; Lynnes, C.; Sauer, B.; Falke, S.; Yang, W.

    2007-12-01

    NASA's vast array of scientific data within its Distributed Active Archive Centers (DAACs) is especially valuable to both traditional research scientists as well as the emerging market of Earth Science Information Partners. For example, the air quality science and management communities are increasingly using satellite derived observations in their analyses and decision making. The Air Quality Cluster in the Federation of Earth Science Information Partners (ESIP) uses web infrastructures of interoperability, or Service Oriented Architecture (SOA), to extend data exploration, use, and analysis and provides a user environment for DAAC products. In an effort to continually offer these NASA data to the broadest research community audience, and reusing emerging technologies, both NASA's Goddard Earth Science (GES) and Land Process (LP) DAACs have engaged in a web services pilot project. Through these projects both GES and LP have exposed data through the Open Geospatial Consortiums (OGC) Web Services standards. Reusing several different existing applications and implementation techniques, GES and LP successfully exposed a variety data, through distributed systems to be ingested into multiple end-user systems. The results of this project will enable researchers world wide to access some of NASA's GES & LP DAAC data through OGC protocols. This functionality encourages inter-disciplinary research while increasing data use through advanced technologies. This paper will concentrate on the implementation and use of OGC Web Services, specifically Web Map and Web Coverage Services (WMS, WCS) at GES and LP DAACs, and the value of these services within scientific applications, including integration with the DataFed air quality web infrastructure and in the development of data analysis web applications.

  3. The Arabs and the science of population distribution.

    Science.gov (United States)

    Al-alwani, M

    1982-01-01

    writings he identified most of the factors recognized today as the major determinants of population distribution, e.g., climate, topography, soil quality, and a number of socioeconomic factors. According to Ibn Khaldun, moderation in geographical conditions promoted population growth and population growth promoted prosperity. He identified the study of this process leading to prosperity as the science of Omran, and noted that populations distribute themselves into agglomerations in order to enjoy social contacts and to satisfy their needs through the development of harmonious patterns of exchange and occupational specialization. Ibn Khaldun classified populations as rural and urban and further categorized rural populations into settled agriculturalists, semisedentary livestock raisers, and less settled camel herdsmen and urban populations into small towns, medium cities, and large cities. Prosperity increased as the size of the population agglomerations increased. In the larger population clusters, basic necessities, e.g., food, were produced in great quantities due to the the harmonious patterns relationships between the residents and the industrious nature of the people. Consequently, the price of basic necessities was low. Luxury items were not as abundant. These items were, therefore, expensive.

  4. CO2 Data Distribution and Support from the Goddard Earth Science Data and Information Services Center (GES-DISC)

    Science.gov (United States)

    Hearty, Thomas; Savtchenko, Andrey; Vollmer, Bruce; Albayrak, Arif; Theobald, Mike; Esfandiari, Ed; Wei, Jennifer

    2015-01-01

    This talk will describe the support and distribution of CO2 data products from OCO-2, AIRS, and ACOS, that are archived and distributed from the Goddard Earth Sciences Data and Information Services Center. We will provide a brief summary of the current online archive and distribution metrics for the OCO-2 Level 1 products and plans for the Level 2 products. We will also describe collaborative data sets and services (e.g., matchups with other sensors) and solicit feedback for potential future services.

  5. Identifying Qualitative Factors Affecting the Production and Distribution of Information and Knowledge in Science and Technology Parks of Iran

    Directory of Open Access Journals (Sweden)

    Ali Haji Shamsaei

    2017-06-01

    Full Text Available This study was conducted in order to identity Qualitative factors affecting the production and distribution of information and knowledge in science and technology parks of Iran. The research was Applied Research in which, qualitative method was carried out. The population of the study was included of 10 managers of Knowledge-based Companies. The data was collected from the population using semi-structured and in-depth interviews. For data analysis, content analysis was used. Results of the qualitative factors affecting the production and distribution of information and knowledge in science and technology parks of Iran, led to extraction of 39 components which were classified in four categories: I Foreign and domestic policy, II Financial and economic support, III Infrastructure barriers and IV Cultural barriers. Results howed that overcoming the political, financial and economic, infrastructural and cultural barriers has undeniable impact on production and distribution of information and knowledge.

  6. Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems.

    Science.gov (United States)

    Leonelli, Sabina

    2016-12-28

    The distributed and global nature of data science creates challenges for evaluating the quality, import and potential impact of the data and knowledge claims being produced. This has significant consequences for the management and oversight of responsibilities and accountabilities in data science. In particular, it makes it difficult to determine who is responsible for what output, and how such responsibilities relate to each other; what 'participation' means and which accountabilities it involves, with regard to data ownership, donation and sharing as well as data analysis, re-use and authorship; and whether the trust placed on automated tools for data mining and interpretation is warranted (especially as data processing strategies and tools are often developed separately from the situations of data use where ethical concerns typically emerge). To address these challenges, this paper advocates a participative, reflexive management of data practices. Regulatory structures should encourage data scientists to examine the historical lineages and ethical implications of their work at regular intervals. They should also foster awareness of the multitude of skills and perspectives involved in data science, highlighting how each perspective is partial and in need of confrontation with others. This approach has the potential to improve not only the ethical oversight for data science initiatives, but also the quality and reliability of research outputs.This article is part of the themed issue 'The ethical impact of data science'. © 2015 The Authors.

  7. Using Distributed Operations to Enable Science Research on the International Space Station

    Science.gov (United States)

    Bathew, Ann S.; Dudley, Stephanie R. B.; Lochmaier, Geoff D.; Rodriquez, Rick C.; Simpson, Donna

    2011-01-01

    In the early days of the International Space Station (ISS) program, and as the organization structure was being internationally agreed upon and documented, one of the principal tenets of the science program was to allow customer-friendly operations. One important aspect of this was to allow payload developers and principle investigators the flexibility to operate their experiments from either their home sites or distributed telescience centers. This telescience concept was developed such that investigators had several options for ISS utilization support. They could operate from their home site, the closest telescience center, or use the payload operations facilities at the Marshall Space Flight Center in Huntsville, Alabama. The Payload Operations Integration Center (POIC) processes and structures were put into place to allow these different options to its customers, while at the same time maintain its centralized authority over NASA payload operations and integration. For a long duration space program with many scientists, researchers, and universities expected to participate, it was imperative that the program structure be in place to successfully facilitate this concept of telescience support. From a payload control center perspective, payload science operations require two major elements in order to make telescience successful within the scope of the ISS program. The first element is decentralized control which allows the remote participants the freedom and flexibility to operate their payloads within their scope of authority. The second element is a strong ground infrastructure, which includes voice communications, video, telemetry, and commanding between the POIC and the payload remote site. Both of these elements are important to telescience success, and both must be balanced by the ISS program s documented requirements for POIC to maintain its authority as an integration and control center. This paper describes both elements of distributed payload

  8. Anything goes: An apology for parallel distributed legal science

    NARCIS (Netherlands)

    Hage, Jacob

    2016-01-01

    Doctrinal legal science seems to lack a proper method and purpose. This interpretation clarifies its value. The backbone of the argu- ment consists of two theses. The first is that coherence—in a sense unusu- al in law—plays a crucial role in legal science. The second is that doctrinal legal science

  9. The NPOESS Preparatory Project Science Data Segment (SDS) Data Depository and Distribution Element (SD3E) System Architecture

    Science.gov (United States)

    Ho, Evelyn L.; Schweiss, Robert J.

    2008-01-01

    The National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) Science Data Segment (SDS) will make daily data requests for approximately six terabytes of NPP science products for each of its six environmental assessment elements from the operational data providers. As a result, issues associated with duplicate data requests, data transfers of large volumes of diverse products, and data transfer failures raised concerns with respect to the network traffic and bandwidth consumption. The NPP SDS Data Depository and Distribution Element (SD3E) was developed to provide a mechanism for efficient data exchange, alleviate duplicate network traffic, and reduce operational costs.

  10. Journal of Chemical Sciences | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Chemical Sciences. SHWETA DHILLON. Articles written in Journal of Chemical Sciences. Volume 129 Issue 8 August 2017 pp 1277-1292 REGULAR ARTICLE. Theory for electrochemical impedance spectroscopy of heterogeneous electrode with distributed capacitance and charge transfer ...

  11. Beyond funding: What can acknowledgements reveal about credit distribution in science?

    Energy Technology Data Exchange (ETDEWEB)

    Paul-Hus, A.; DiazFaes, A.; Desrochers, N.; Costas, R.; Sainte-Marie, M.; Macaluso, B.; Lariviere, V.

    2016-07-01

    Funding acknowledgements found in scientific publications have been used for decades to study the role of funding in science production. However, beyond funding information, acknowledgements convey the indebtedness of authors to individuals, institutions and organizations that contributed, in some way, to the research that lead to publication. The objective of this paper is to explore the different types of contributions acknowledged in WoS funding acknowledgement (FA) texts. The Correspondence Analysis performed in this study reveals that FAs offer a unique window on research and collaborative practices, credit distribution, and how these vary across disciplines. FAs thus contribute to make the traditionally “invisible contributions” visible to the scientific community. Results presented in this study go further in demonstrating that acknowledgements are not confined to credit attribution, as they include disclosures of conflict of interest. (Author)

  12. Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data

    Energy Technology Data Exchange (ETDEWEB)

    Melchior, P.; Suchyta, E.; Huff, E.; Hirsch, M.; Kacprzak, T.; Rykoff, E.; Gruen, D.; Armstrong, R.; Bacon, D.; Bechtol, K.; Bernstein, G. M.; Bridle, S.; Clampitt, J.; Honscheid, K.; Jain, B.; Jouvel, S.; Krause, E.; Lin, H.; MacCrann, N.; Patton, K.; Plazas, A.; Rowe, B.; Vikram, V.; Wilcox, H.; Young, J.; Zuntz, J.; Abbott, T.; Abdalla, F. B.; Allam, S. S.; Banerji, M.; Bernstein, J. P.; Bernstein, R. A.; Bertin, E.; Buckley-Geer, E.; Burke, D. L.; Castander, F. J.; da Costa, L. N.; Cunha, C. E.; Depoy, D. L.; Desai, S.; Diehl, H. T.; Doel, P.; Estrada, J.; Evrard, A. E.; Neto, A. F.; Fernandez, E.; Finley, D. A.; Flaugher, B.; Frieman, J. A.; Gaztanaga, E.; Gerdes, D.; Gruendl, R. A.; Gutierrez, G. R.; Jarvis, M.; Karliner, I.; Kent, S.; Kuehn, K.; Kuropatkin, N.; Lahav, O.; Maia, M. A. G.; Makler, M.; Marriner, J.; Marshall, J. L.; Merritt, K. W.; Miller, C. J.; Miquel, R.; Mohr, J.; Neilsen, E.; Nichol, R. C.; Nord, B. D.; Reil, K.; Roe, N. A.; Roodman, A.; Sako, M.; Sanchez, E.; Santiago, B. X.; Schindler, R.; Schubnell, M.; Sevilla-Noarbe, I.; Sheldon, E.; Smith, C.; Soares-Santos, M.; Swanson, M. E. C.; Sypniewski, A. J.; Tarle, G.; Thaler, J.; Thomas, D.; Tucker, D. L.; Walker, A.; Wechsler, R.; Weller, J.; Wester, W.

    2015-03-31

    We measure the weak-lensing masses and galaxy distributions of four massive galaxy clusters observed during the Science Verification phase of the Dark Energy Survey. This pathfinder study is meant to 1) validate the DECam imager for the task of measuring weak-lensing shapes, and 2) utilize DECam's large field of view to map out the clusters and their environments over 90 arcmin. We conduct a series of rigorous tests on astrometry, photometry, image quality, PSF modeling, and shear measurement accuracy to single out flaws in the data and also to identify the optimal data processing steps and parameters. We find Science Verification data from DECam to be suitable for the lensing analysis described in this paper. The PSF is generally well-behaved, but the modeling is rendered difficult by a flux-dependent PSF width and ellipticity. We employ photometric redshifts to distinguish between foreground and background galaxies, and a red-sequence cluster finder to provide cluster richness estimates and cluster-galaxy distributions. By fitting NFW profiles to the clusters in this study, we determine weak-lensing masses that are in agreement with previous work. For Abell 3261, we provide the first estimates of redshift, weak-lensing mass, and richness. In addition, the cluster-galaxy distributions indicate the presence of filamentary structures attached to 1E 0657-56 and RXC J2248.7-4431, stretching out as far as 1 degree (approximately 20 Mpc), showcasing the potential of DECam and DES for detailed studies of degree-scale features on the sky.

  13. Using Citizen Science Observations to Model Species Distributions Over Space, Through Time, and Across Scales

    Science.gov (United States)

    Kelling, S.

    2017-12-01

    The goal of Biodiversity research is to identify, explain, and predict why a species' distribution and abundance vary through time, space, and with features of the environment. Measuring these patterns and predicting their responses to change are not exercises in curiosity. Today, they are essential tasks for understanding the profound effects that humans have on earth's natural systems, and for developing science-based environmental policies. To gain insight about species' distribution patterns requires studying natural systems at appropriate scales, yet studies of ecological processes continue to be compromised by inadequate attention to scale issues. How spatial and temporal patterns in nature change with scale often reflects fundamental laws of physics, chemistry, or biology, and we can identify such basic, governing laws only by comparing patterns over a wide range of scales. This presentation will provide several examples that integrate bird observations made by volunteers, with NASA Earth Imagery using Big Data analysis techniques to analyze the temporal patterns of bird occurrence across scales—from hemisphere-wide views of bird distributions to the impact of powerful city lights on bird migration.

  14. Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia.

    Science.gov (United States)

    Schneider, Maria Victoria; Griffin, Philippa C; Tyagi, Sonika; Flannery, Madison; Dayalan, Saravanan; Gladman, Simon; Watson-Haigh, Nathan; Bayer, Philipp E; Charleston, Michael; Cooke, Ira; Cook, Rob; Edwards, Richard J; Edwards, David; Gorse, Dominique; McConville, Malcolm; Powell, David; Wilkins, Marc R; Lonie, Andrew

    2017-06-30

    EMBL Australia Bioinformatics Resource (EMBL-ABR) is a developing national research infrastructure, providing bioinformatics resources and support to life science and biomedical researchers in Australia. EMBL-ABR comprises 10 geographically distributed national nodes with one coordinating hub, with current funding provided through Bioplatforms Australia and the University of Melbourne for its initial 2-year development phase. The EMBL-ABR mission is to: (1) increase Australia's capacity in bioinformatics and data sciences; (2) contribute to the development of training in bioinformatics skills; (3) showcase Australian data sets at an international level and (4) enable engagement in international programs. The activities of EMBL-ABR are focussed in six key areas, aligning with comparable international initiatives such as ELIXIR, CyVerse and NIH Commons. These key areas-Tools, Data, Standards, Platforms, Compute and Training-are described in this article. © The Author 2017. Published by Oxford University Press.

  15. About the Geographic Distribution of Economic Science in Asian Russia

    Directory of Open Access Journals (Sweden)

    Alexander Nikolaevich Demyanenko

    2014-12-01

    Full Text Available The article presents the results of empirical studies of modern geographic distribution of economic science in Asian Russia (i. e. three macro-regions of Russia: Far East, Siberia and the Urals Region. The study is based on an original database of articles on Economics and related disciplines which arearranged within the Elibrary platformfor 2005-2013. These articles arewritten by fellows of research organizations that are located in the Asian part of Russia.Statistical analysis of the main indicators of publication activity shows that there are significant differences in the scope, dynamics, and quality of the results of this activity among the research organizations of various types.The authors focused on the territorial structure of the study of the economy defined as a set of scientific centers of varying scale and type, as well as networks of scientific communication.It is revealed that publication activity of economic research institutions in Asian Russia has a high level of spatial concentration and the system of scientific communication, formed by the scientific journals of the region, has a high level of fragmentation

  16. Distributed Robotics Education

    DEFF Research Database (Denmark)

    Lund, Henrik Hautop; Pagliarini, Luigi

    2011-01-01

    Distributed robotics takes many forms, for instance, multirobots, modular robots, and self-reconfigurable robots. The understanding and development of such advanced robotic systems demand extensive knowledge in engineering and computer science. In this paper, we describe the concept of a distribu......Distributed robotics takes many forms, for instance, multirobots, modular robots, and self-reconfigurable robots. The understanding and development of such advanced robotic systems demand extensive knowledge in engineering and computer science. In this paper, we describe the concept...... to be changed, related to multirobot control and human-robot interaction control from virtual to physical representation. The proposed system is valuable for bringing a vast number of issues into education – such as parallel programming, distribution, communication protocols, master dependency, connectivity...

  17. An analysis of distribution transformer failure using the statistical package for the social sciences (SPSS software

    Directory of Open Access Journals (Sweden)

    María Gabriela Mago Ramos

    2012-05-01

    Full Text Available A methodology was developed for analysing faults in distribution transformers using the statistical package for social sciences (SPSS; it consisted of organising and creating of database regarding failed equipment, incorporating such data into the processing programme and converting all the information into numerical variables to be processed, thereby obtaining descriptive statistics and enabling factor and discriminant analysis. The research was based on information provided by companies in areas served by Corpoelec (Valencia, Venezuela and Codensa (Bogotá, Colombia.

  18. Journal of Earth System Science | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Earth System Science. J Barnes. Articles written in Journal of Earth System Science. Volume 115 Issue 4 August 2006 pp 451-460 Special Section on: Material exchanges at marine boundaries and surface ocean processes: Forcings and feedbacks. Spatial and temporal distribution of methane in ...

  19. Journal of Earth System Science | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Earth System Science. A Shalini. Articles written in Journal of Earth System Science. Volume 115 Issue 4 August 2006 pp 451-460 Special Section on: Material exchanges at marine boundaries and surface ocean processes: Forcings and feedbacks. Spatial and temporal distribution of methane in ...

  20. A distributed model: redefining a robust research subject advocacy program at the Harvard Clinical and Translational Science Center.

    Science.gov (United States)

    Winkler, Sabune J; Cagliero, Enrico; Witte, Elizabeth; Bierer, Barbara E

    2014-08-01

    The Harvard Clinical and Translational Science Center ("Harvard Catalyst") Research Subject Advocacy (RSA) Program has reengineered subject advocacy, distributing the delivery of advocacy functions through a multi-institutional, central platform rather than vesting these roles and responsibilities in a single individual functioning as a subject advocate. The program is process-oriented and output-driven, drawing on the strengths of participating institutions to engage local stakeholders both in the protection of research subjects and in advocacy for subjects' rights. The program engages stakeholder communities in the collaborative development and distributed delivery of accessible and applicable educational programming and resources. The Harvard Catalyst RSA Program identifies, develops, and supports the sharing and distribution of expertise, education, and resources for the benefit of all institutions, with a particular focus on the frontline: research subjects, researchers, research coordinators, and research nurses. © 2014 Wiley Periodicals, Inc.

  1. Managing globally distributed expertise with new competence management solutions a big-science collaboration as a pilot case.

    CERN Document Server

    Ferguson, J; Livan, M; Nordberg, M; Salmia, T; Vuola, O

    2003-01-01

    In today's global organisations and networks, a critical factor for effective innovation and project execution is appropriate competence and skills management. The challenges include selection of strategic competences, competence development, and leveraging the competences and skills to drive innovation and collaboration for shared goals. This paper presents a new industrial web-enabled competence management and networking solution and its implementation and piloting in a complex big-science environment of globally distributed competences.

  2. Journal of Earth System Science | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Earth System Science. J Dajkumar Sahayam. Articles written in Journal of Earth System Science. Volume 119 Issue 1 February 2010 pp 129-135. Distribution of arsenic and mercury in subtropical coastal beachrock, Gulf of Mannar, India · J Dajkumar Sahayam N Chandrasekar S Krishna Kumar ...

  3. Fairness in Knowing: Science Communication and Epistemic Justice.

    Science.gov (United States)

    Medvecky, Fabien

    2017-09-22

    Science communication, as a field and as a practice, is fundamentally about knowledge distribution; it is about the access to, and the sharing of knowledge. All distribution (science communication included) brings with it issues of ethics and justice. Indeed, whether science communicators acknowledge it or not, they get to decide both which knowledge is shared (by choosing which topic is communicated), and who gets access to this knowledge (by choosing which audience it is presented to). As a result, the decisions of science communicators have important implications for epistemic justice: how knowledge is distributed fairly and equitably. This paper presents an overview of issues related to epistemic justice for science communication, and argues that there are two quite distinct ways in which science communicators can be just (or unjust) in the way they distribute knowledge. Both of these paths will be considered before concluding that, at least on one of these accounts, science communication as a field and as a practice is fundamentally epistemically unjust. Possible ways to redress this injustice are suggested.

  4. Journal of Earth System Science | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Earth System Science. P V Rajesh. Articles written in Journal of Earth System Science. Volume 125 Issue 4 June 2016 pp 691-708. Sensitivity of tropical cyclone characteristics to the radial distribution of sea surface temperature · Deepika Rai S Pattnaik P V Rajesh · More Details Abstract Fulltext ...

  5. New science on the Open Science Grid

    Energy Technology Data Exchange (ETDEWEB)

    Pordes, R; Altunay, M; Sehgal, C [Fermi National Accelerator Laboratory, Batavia, IL 60510 (United States); Avery, P [University of Florida, Gainesville, FL 32611 (United States); Bejan, A; Gardner, R; Wilde, M [University of Chicago, Chicago, IL 60607 (United States); Blackburn, K [California Institute of Technology, Pasadena, CA 91125 (United States); Blatecky, A; McGee, J [Renaissance Computing Institute, Chapel Hill, NC 27517 (United States); Kramer, B; Olson, D; Roy, A [Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); Livny, M [University of Wisconsin, Madison, Madison, WI 53706 (United States); Potekhin, M; Quick, R; Wenaus, T [Indiana University, Bloomington, IN 47405 (United States); Wuerthwein, F [University of California, San Diego, La Jolla, CA 92093 (United States)], E-mail: ruth@fnal.gov

    2008-07-15

    The Open Science Grid (OSG) includes work to enable new science, new scientists, and new modalities in support of computationally based research. There are frequently significant sociological and organizational changes required in transformation from the existing to the new. OSG leverages its deliverables to the large-scale physics experiment member communities to benefit new communities at all scales through activities in education, engagement, and the distributed facility. This paper gives both a brief general description and specific examples of new science enabled on the OSG. More information is available at the OSG web site: www.opensciencegrid.org.

  6. New science on the Open Science Grid

    International Nuclear Information System (INIS)

    Pordes, R; Altunay, M; Sehgal, C; Avery, P; Bejan, A; Gardner, R; Wilde, M; Blackburn, K; Blatecky, A; McGee, J; Kramer, B; Olson, D; Roy, A; Livny, M; Potekhin, M; Quick, R; Wenaus, T; Wuerthwein, F

    2008-01-01

    The Open Science Grid (OSG) includes work to enable new science, new scientists, and new modalities in support of computationally based research. There are frequently significant sociological and organizational changes required in transformation from the existing to the new. OSG leverages its deliverables to the large-scale physics experiment member communities to benefit new communities at all scales through activities in education, engagement, and the distributed facility. This paper gives both a brief general description and specific examples of new science enabled on the OSG. More information is available at the OSG web site: www.opensciencegrid.org

  7. NASA's Earth Science Data Systems

    Science.gov (United States)

    Ramapriyan, H. K.

    2015-01-01

    NASA's Earth Science Data Systems (ESDS) Program has evolved over the last two decades, and currently has several core and community components. Core components provide the basic operational capabilities to process, archive, manage and distribute data from NASA missions. Community components provide a path for peer-reviewed research in Earth Science Informatics to feed into the evolution of the core components. The Earth Observing System Data and Information System (EOSDIS) is a core component consisting of twelve Distributed Active Archive Centers (DAACs) and eight Science Investigator-led Processing Systems spread across the U.S. The presentation covers how the ESDS Program continues to evolve and benefits from as well as contributes to advances in Earth Science Informatics.

  8. The NPOESS Preparatory Project (NPP) Science Data Segment (SDS) Data Depository and Distribution Element (SD3E) System Architecture

    Science.gov (United States)

    Ho, Evelyn L.; Schweiss, Robert J.

    2008-01-01

    The National Polar-orbiting Operational Environmental Satellite System (NPOESS), the U.S. Government's future low-Earth orbiting satellite system, will monitor global weather and environmental conditions. Serving as a risk reduction for NPOESS, the NPOESS Preparatory Project (NPP) will provide remotely sensed atmospheric, land, ocean, ozone, and sounder data that will serve the meteorological and global climate change scientific communities. The National Aeronautics and Space Administration (NASA) NPP Science Data Segment's (SDS) primary role is to independently assess the quality of the NPP science and environmental data records for their ability to support climate research. The SDS is composed of nine elements; an input element that receives data from the operational agencies and acts as a buffer, a calibration analysis element, five elements devoted to measurement based quality assessment, an element used to test algorithmic improvements, and an element that provides overall science direction. Each element requires a set of sensor specific science data products for their evaluation. There are four NPP sensors that will be flown on the NPP observatory. They are the Visible Infrared Imagining Radiometer Suite (VIIRS), the Advanced Technology Microwave Sounder (ATMS), the Cross-Track Infrared Sounder (CrIS), and the Ozone Mapper/Profiler Suite (OMPS). It is estimated that these four sensors combined will make daily data requests for approximately six terabytes of NPP science products from the operational data providers. As a result, issues associated with duplicate data requests, data transfers of large volumes of diverse products, and data transfer failures raised concerns with respect to the network traffic and bandwidth consumption. Therefore, a central data broker system for receiving and buffering data requests and data products for the SDS was developed. The data element for this system is called the SDS Data Depository and Distribution Element (SD3E). It

  9. Science, Journalism and Media Logic

    NARCIS (Netherlands)

    Korthagen, Iris

    2016-01-01

    Science journalism is an important distribution channel for the results and insights produced by scientific research, and as such plays an important role in shaping public opinion of science. This prompted the Rathenau Institute to study the state of science journalism. We see journalists as

  10. NASA's NPOESS Preparatory Project Science Data Segment: A Framework for Measurement-based Earth Science Data Systems

    Science.gov (United States)

    Schwaller, Mathew R.; Schweiss, Robert J.

    2007-01-01

    The NPOESS Preparatory Project (NPP) Science Data Segment (SDS) provides a framework for the future of NASA s distributed Earth science data systems. The NPP SDS performs research and data product assessment while using a fully distributed architecture. The components of this architecture are organized around key environmental data disciplines: land, ocean, ozone, atmospheric sounding, and atmospheric composition. The SDS thus establishes a set of concepts and a working prototypes. This paper describes the framework used by the NPP Project as it enabled Measurement-Based Earth Science Data Systems for the assessment of NPP products.

  11. The Citizen Science Project 'Mueckenatlas' Helps Monitor the Distribution and Spread of Invasive Mosquito Species in Germany.

    Science.gov (United States)

    Walther, Doreen; Kampen, Helge

    2017-11-07

    The citizen science project 'Mueckenatlas' (mosquito atlas) was implemented in early 2012 to improve mosquito surveillance in Germany. Citizens are asked to support the spatiotemporal mapping of culicids by submitting mosquito specimens collected in their private surroundings. The Mueckenatlas has developed into an efficient tool for data collection with close to 30,000 mosquitoes submitted by the end of 2015. While the vast majority of submissions included native mosquito species, a small percentage represented invasive species. The discovery of Aedes albopictus (Skuse) (Diptera: Culicidae), Aedes japonicus japonicus (Theobald) (Diptera: Culicidae) and Aedes koreicus (Edwards) (Diptera: Culicidae) specimens via the Mueckenatlas project prompted targeted monitoring activities in the field which produced additional information on the distribution of these species in Germany. Among others, Mueckenatlas submissions led to the detection of three populations of Ae. j. japonicus in West, North and Southeast Germany in 2012, 2013, and 2015, respectively. As demonstrated by on-site monitoring, the origins of Ae. j. japonicus specimens submitted to the Mueckenatlas mirror the distribution areas of the four presently known German populations as found by active field sampling (the fourth population already reported prior to the launch of the Mueckenatlas). The data suggest that a citizen science project such as the Mueckenatlas may aid in detecting changes in the mosquito fauna and can therefore be used to guide the design of more targeted field surveillance activities. © The Authors 2017. Published by Oxford University Press on behalf of Entomological Society of America.

  12. Life Sciences Data Archive (LSDA)

    Science.gov (United States)

    Fitts, M.; Johnson-Throop, Kathy; Thomas, D.; Shackelford, K.

    2008-01-01

    In the early days of spaceflight, space life sciences data were been collected and stored in numerous databases, formats, media-types and geographical locations. While serving the needs of individual research teams, these data were largely unknown/unavailable to the scientific community at large. As a result, the Space Act of 1958 and the Science Data Management Policy mandated that research data collected by the National Aeronautics and Space Administration be made available to the science community at large. The Biomedical Informatics and Health Care Systems Branch of the Space Life Sciences Directorate at JSC and the Data Archive Project at ARC, with funding from the Human Research Program through the Exploration Medical Capability Element, are fulfilling these requirements through the systematic population of the Life Sciences Data Archive. This program constitutes a formal system for the acquisition, archival and distribution of data for Life Sciences-sponsored experiments and investigations. The general goal of the archive is to acquire, preserve, and distribute these data using a variety of media which are accessible and responsive to inquiries from the science communities.

  13. Do compulsory secondary science courses change students’ attitude towards studying science?

    DEFF Research Database (Denmark)

    Kristensen, Lærke Elisabeth; Petersen, Morten Rask

    2015-01-01

    recruitment to STEM education has been a compulsory course in the Gymnasium called Natural Science Subject (NSS). This is an interdisciplinary, introductory course with the intention that students shall “ … realize the importance of knowing and understanding natural science thinking” (Authors translation...... science and science careers. In this approach we ended up with the following research question: “Does a compulsory introductory sciences course have an impact on students’ attitude towards studying sciences in secondary school?” In this approach we chose to use parameters as motivation (Deci & Ryan, 2002...... Subject course. The distribution included all levels (K10-K12) and all study lines. Student answers were analyzed using Mann-Whitney U-test using SPSS statistics 22 as analytical tool. Comparisons for this study were made across study lines (natural science vs. human science & social science...

  14. A Distributed Computational Infrastructure for Science and Education

    Directory of Open Access Journals (Sweden)

    Rustam K. Bazarov

    2014-06-01

    Full Text Available Researchers have lately been paying increasingly more attention to parallel and distributed algorithms for solving high-dimensionality problems. In this regard, the issue of acquiring or renting computational resources becomes a topical one for employees of scientific and educational institutions. This article examines technology and methods for organizing a distributed computational infrastructure. The author addresses the experience of creating a high-performance system powered by existing clusterization and grid computing technology. The approach examined in the article helps minimize financial costs, aggregate territorially distributed computational resources and ensures a more rational use of available computer equipment, eliminating its downtimes.

  15. Optimal distribution of science funding

    Science.gov (United States)

    Huang, Ding-wei

    2018-07-01

    We propose a new model to investigate the theoretical implications of a novel funding system. We introduce new parameters to model the accumulated advantage. We assume that all scientists are equal and follow the same regulations. The model presents three distinct regimes. In regime (I), the fluidity of funding is significant. The funding distribution is continuous. The concentration of funding is effectively suppressed. In both regimes (II) and (III), a small group of scientists emerges as a circle of elites. Large funding is acquired by a small number of scientists.

  16. Lowering the barriers for accessing distributed geospatial big data to advance spatial data science: the PolarHub solution

    Science.gov (United States)

    Li, W.

    2017-12-01

    Data is the crux of science. The widespread availability of big data today is of particular importance for fostering new forms of geospatial innovation. This paper reports a state-of-the-art solution that addresses a key cyberinfrastructure research problem—providing ready access to big, distributed geospatial data resources on the Web. We first formulate this data-access problem and introduce its indispensable elements, including identifying the cyber-location, space and time coverage, theme, and quality of the dataset. We then propose strategies to tackle each data-access issue and make the data more discoverable and usable for geospatial data users and decision makers. Among these strategies is large-scale web crawling as a key technique to support automatic collection of online geospatial data that are highly distributed, intrinsically heterogeneous, and known to be dynamic. To better understand the content and scientific meanings of the data, methods including space-time filtering, ontology-based thematic classification, and service quality evaluation are incorporated. To serve a broad scientific user community, these techniques are integrated into an operational data crawling system, PolarHub, which is also an important cyberinfrastructure building block to support effective data discovery. A series of experiments were conducted to demonstrate the outstanding performance of the PolarHub system. We expect this work to contribute significantly in building the theoretical and methodological foundation for data-driven geography and the emerging spatial data science.

  17. Marine Science

    African Journals Online (AJOL)

    Aims and scope: The Western Indian Ocean Journal of Marine Science provides an avenue .... shell growth is adversely affected. ... local stressors in action, such as ocean acidification ..... that the distribution of many intertidal sessile animals.

  18. International production on science oriented towards data: analysis of the terms data science and e-science in scopus and the web of science

    Directory of Open Access Journals (Sweden)

    Leilah Santiago Bufrem

    2016-08-01

    Full Text Available Introduction: current configuration in the dynamics of production and scientific communication reveals the role of Science Oriented Towards Data, a comprehensive conception represented, mainly, by terms such as "e-Science" and "Data Science". Objective: To present the global scientific production on Science Oriented Towards Data by using the terms "e-Science" and "Data Science" in Scopus and the Web of Science during 2006-2016. Methodology: The study is divided into five phases: a search for information in Scopus and the Web of Science data bases; b obtaining bibliometric records; c complementing keywords; d data correction and crossing; e analytical data representation. Results: The most important terms within the analyzed scientific production were Distributed computer systems (2006, Grid computing (2007-2013 and Big data (2014- 2016. In the area of Library and Information Science, the emphasis was on Digital Library and Open Access issues, highlighting the importance of the field for the discussions on the devices providing access to scientific information in digital media. Conclusions: Under a diachronic look, it was found a visible shift of focus, from issues approaching data exchange operations to an analytical perspective for finding patterns in large data volumes

  19. Associateship | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Date of birth: 15 December 1983. Specialization: Cryptography, Secure distributed Computing, Information Security Address: Dept. of Computer Science & Automation, Indian Institute of Science, Bangalore 560 012, Karnataka Contact: Office: (080) 2293 3566. Residence: 80409 43424, 88612 65180. Fax: (080) 2360 2911

  20. Marine Science

    African Journals Online (AJOL)

    pod diversity and distribution are important especially since studies on marine biodiversity are scarce .... Method II –. Zamoum &. Furla (2012) protocol. Method III. – Geist et al (2008) protocol ..... Public Library Of Science One 8: 51273.

  1. U-Science (Invited)

    Science.gov (United States)

    Borne, K. D.

    2009-12-01

    The emergence of e-Science over the past decade as a paradigm for Internet-based science was an inevitable evolution of science that built upon the web protocols and access patterns that were prevalent at that time, including Web Services, XML-based information exchange, machine-to-machine communication, service registries, the Grid, and distributed data. We now see a major shift in web behavior patterns to social networks, user-provided content (e.g., tags and annotations), ubiquitous devices, user-centric experiences, and user-led activities. The inevitable accrual of these social networking patterns and protocols by scientists and science projects leads to U-Science as a new paradigm for online scientific research (i.e., ubiquitous, user-led, untethered, You-centered science). U-Science applications include components from semantic e-science (ontologies, taxonomies, folksonomies, tagging, annotations, and classification systems), which is much more than Web 2.0-based science (Wikis, blogs, and online environments like Second Life). Among the best examples of U-Science are Citizen Science projects, including Galaxy Zoo, Stardust@Home, Project Budburst, Volksdata, CoCoRaHS (the Community Collaborative Rain, Hail and Snow network), and projects utilizing Volunteer Geographic Information (VGI). There are also scientist-led projects for scientists that engage a wider community in building knowledge through user-provided content. Among the semantic-based U-Science projects for scientists are those that specifically enable user-based annotation of scientific results in databases. These include the Heliophysics Knowledgebase, BioDAS, WikiProteins, The Entity Describer, and eventually AstroDAS. Such collaborative tagging of scientific data addresses several petascale data challenges for scientists: how to find the most relevant data, how to reuse those data, how to integrate data from multiple sources, how to mine and discover new knowledge in large databases, how to

  2. The hydrodynamic description of pseudorapidity distributions at ...

    Indian Academy of Sciences (India)

    College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China ... 2016; accepted 16 December 2016; published online 15 March 2017 ..... The cs dependence of pseudorapidity distributions of the produced ...

  3. Distribution models for koalas in South Australia using citizen science-collected data.

    Science.gov (United States)

    Sequeira, Ana M M; Roetman, Philip E J; Daniels, Christopher B; Baker, Andrew K; Bradshaw, Corey J A

    2014-06-01

    ' distributions provided that the statistical approaches applied account for some uncertainties and potential biases. A future improvement to citizen science surveys to provide better data on search effort is that smartphone apps could be activated at the start of the search. The results of our models provide preliminary ranges of habitat suitability and population size for a species for which previous data have been difficult or impossible to gather otherwise.

  4. Distribution models for koalas in South Australia using citizen science-collected data

    Science.gov (United States)

    Sequeira, Ana M M; Roetman, Philip E J; Daniels, Christopher B; Baker, Andrew K; Bradshaw, Corey J A

    2014-01-01

    ' distributions provided that the statistical approaches applied account for some uncertainties and potential biases. A future improvement to citizen science surveys to provide better data on search effort is that smartphone apps could be activated at the start of the search. The results of our models provide preliminary ranges of habitat suitability and population size for a species for which previous data have been difficult or impossible to gather otherwise. PMID:25360252

  5. eScience and archiving for space science

    Directory of Open Access Journals (Sweden)

    Timothy E Eastman

    2006-01-01

    Full Text Available A confluence of technologies is leading towards revolutionary new interactions between robust data sets, state-of-the-art models and simulations, high-data-rate sensors, and high-performance computing. Data and data systems are central to these new developments in various forms of eScience or grid systems. Space science missions are developing multi-spacecraft, distributed, communications- and computation-intensive, adaptive mission architectures that will further add to the data avalanche. Fortunately, Knowledge Discovery in Database (KDD tools are rapidly expanding to meet the need for more efficient information extraction and knowledge generation in this data-intensive environment. Concurrently, scientific data management is being augmented by content-based metadata and semantic services. Archiving, eScience and KDD all require a solid foundation in interoperability and systems architecture. These concepts are illustrated through examples of space science data preservation, archiving, and access, including application of the ISO-standard Open Archive Information System (OAIS architecture.

  6. Journal of Earth System Science | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Earth System Science; Volume 111; Issue 3 ... support the well-known fact that oceanic eddies are distributed worldwide in the ocean. ... The classification of typical vortical features in the ocean detected in remote ...

  7. Adhesion science

    CERN Document Server

    Comyn, John

    1997-01-01

    The use of adhesives is widespread and growing, and there are few modern artefacts, from the simple cereal packet, to the jumbo jet, that are without this means of joining. Adhesion Science provides an illuminating account of the science underlying the use of adhesives, a branch of chemical technology which is fundamental to the science of coatings and composite materials and to the performance of all types of bonded structures. This book guides the reader through the essential basic polymer science, and the chemistry of adhesives in use at present. It discusses surface preparation for adhesive bonding, and the use of primers and coupling agents. There is a detailed chapter on contact angles and what can be predicted from them. A simple guide on stress distribution joints and how this relates to testing is included. It also examines the interaction of adhesives and the environment, including an analysis of the resistance of joints to water, oxygen and ultra-violet light. Adhesion Science provides a comprehens...

  8. Journal of Chemical Sciences | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    DD should be arranged in favour of "Indian Academy of Sciences" payable at Bengaluru. For details, contact: Springer Distribution Centre GmbH. Customer Service Journals Haberstrasse 7, D-69126 Heidelberg Germany. Email: subscriptions@springer.com. For the Americas (North, South, Central and the Caribbean):

  9. Proceedings – Mathematical Sciences | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Home; Journals; Proceedings – Mathematical Sciences; Volume 123; Issue 2. Issue front cover thumbnail. Volume 123, Issue 2. May 2013, pages 151-302. pp 151- ... Distribution of Residues and Primitive Roots ..... Series Solutions and a Perturbation Formula for the Extended Rayleigh Problem of Hydrodynamic Stability.

  10. The Rise of Web Supremacy in Newspaper Coverage of Science

    DEFF Research Database (Denmark)

    Vestergård, Gunver Lystbæk

    discloses how original writing is increasingly being replaced by copy-paste-journalism as novel online resources distribute intelligible science press material. This trend is visible in all journalistic fields but more explicit in the source-driven science journalism. The online abundant availability...... of science news material has also shifted the balance in distribution. Coverage in broadsheet print newspapers is decreasing whereas online and tabloid newspapers are steadily embracing science news. This transfer causes new target groups who have not been previously reachable to be included in science......Alert!) have become an increasing origin of science news on print and online, especially in tabloid newspapers. It is concluded that the availability of lucid science material online has made up for the cutback in science coverage on print and exposed science to social groups predominantly reading Internet...

  11. Fitting statistical distributions the generalized lambda distribution and generalized bootstrap methods

    CERN Document Server

    Karian, Zaven A

    2000-01-01

    Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from-all with their own formulas, tables, diagrams, and general properties-continue to create problems. For a specific application, which of the dozens of distributions should one use? What if none of them fit well?Fitting Statistical Distributions helps answer those questions. Focusing on techniques used successfully across many fields, the authors present all of the relevant results related to the Generalized Lambda Distribution (GLD), the Generalized Bootstrap (GB), and Monte Carlo simulation (MC). They provide the tables, algorithms, and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions, and including situations where moments do...

  12. NASA's EOSDIS Cumulus: Ingesting, Archiving, Managing, and Distributing Earth Science Data from the Commercial Cloud

    Science.gov (United States)

    Baynes, Katie; Ramachandran, Rahul; Pilone, Dan; Quinn, Patrick; Gilman, Jason; Schuler, Ian; Jazayeri, Alireza

    2017-01-01

    NASA's Earth Observing System Data and Information System (EOSDIS) has been working towards a vision of a cloud-based, highly-flexible, ingest, archive, management, and distribution system for its ever-growing and evolving data holdings. This system, Cumulus, is emerging from its prototyping stages and is poised to make a huge impact on how NASA manages and disseminates its Earth science data. This talk will outline the motivation for this work, present the achievements and hurdles of the past 18 months and will chart a course for the future expansion of the Cumulus expansion. We will explore on not just the technical, but also the socio-technical challenges that we face in evolving a system of this magnitude into the cloud and how we are rising to meet those challenges through open collaboration and intentional stakeholder engagement.

  13. A prototype for JDEM science data processing

    International Nuclear Information System (INIS)

    Gottschalk, Erik E

    2011-01-01

    Fermilab is developing a prototype science data processing and data quality monitoring system for dark energy science. The purpose of the prototype is to demonstrate distributed data processing capabilities for astrophysics applications, and to evaluate candidate technologies for trade-off studies. We present the architecture and technical aspects of the prototype, including an open source scientific execution and application development framework, distributed data processing, and publish/subscribe message passing for quality control.

  14. Giere's (in)appropriation of distributed cognition

    NARCIS (Netherlands)

    Vaesen, K.

    2011-01-01

    Ronald Giere embraces the perspective of distributed cognition to think about cognition in the sciences. I argue that his conception of distributed cognition is flawed in that it bears all the marks of its predecessor; namely, individual cognition. I show what a proper (i.e. non-individual)

  15. Mapping Climate Science Information Needs and Networks in the Northwest, USA through Evaluating the Northwest Climate Science Center Climate Science Digest

    Science.gov (United States)

    Gergel, D. R.; Watts, L. H.; Salathe, E. P.; Mankowski, J. D.

    2017-12-01

    Climate science, already a highly interdisciplinary field, is rapidly evolving, and natural resource managers are increasingly involved in policymaking and adaptation decisions to address climate change that need to be informed by state-of-the-art climate science. Consequently, there is a strong demand for unique organizations that engender collaboration and cooperation between government, non-profit, academic and for-profit sectors that are addressing issues relating to natural resources management and climate adaptation and resilience. These organizations are often referred to as boundary organizations. The Northwest Climate Science Center (NW CSC) and the North Pacific Landscape Conservation Cooperative (NP LCC) are two such boundary organizations operating in different contexts. Together, the NW CSC and the NP LCC fulfill the need for sites of co-production between researchers and managers working on climate-related issues, and a key component of this work is a monthly climate science newsletter that includes recent climate science journal articles, reports, and climate-related events. Our study evaluates the effectiveness of the climate science digest (CSD) through a three-pronged approach: a) in-depth interviews with natural resource managers who use the CSD, b) poll questions distributed to CSD subscribers, and c) quantitative analysis of CSD effectiveness using analytics from MailChimp distribution. We aim to a) map the reach of the CSD across the Northwest and at a national level; b) understand the efficacy of the CSD at communicating climate science to diverse audiences; c) evaluate the usefulness of CSD content for diverse constituencies of subscribers; d) glean transferrable knowledge for future evaluations of boundary management tools; and e) establish a protocol for designing climate science newsletters for other agencies disseminating climate science information. We will present results from all three steps of our evaluation process and describe

  16. Power laws in citation distributions: evidence from Scopus.

    Science.gov (United States)

    Brzezinski, Michal

    Modeling distributions of citations to scientific papers is crucial for understanding how science develops. However, there is a considerable empirical controversy on which statistical model fits the citation distributions best. This paper is concerned with rigorous empirical detection of power-law behaviour in the distribution of citations received by the most highly cited scientific papers. We have used a large, novel data set on citations to scientific papers published between 1998 and 2002 drawn from Scopus. The power-law model is compared with a number of alternative models using a likelihood ratio test. We have found that the power-law hypothesis is rejected for around half of the Scopus fields of science. For these fields of science, the Yule, power-law with exponential cut-off and log-normal distributions seem to fit the data better than the pure power-law model. On the other hand, when the power-law hypothesis is not rejected, it is usually empirically indistinguishable from most of the alternative models. The pure power-law model seems to be the best model only for the most highly cited papers in "Physics and Astronomy". Overall, our results seem to support theories implying that the most highly cited scientific papers follow the Yule, power-law with exponential cut-off or log-normal distribution. Our findings suggest also that power laws in citation distributions, when present, account only for a very small fraction of the published papers (less than 1 % for most of science fields) and that the power-law scaling parameter (exponent) is substantially higher (from around 3.2 to around 4.7) than found in the older literature.

  17. Attack Helicopter Operations: Art or Science

    Science.gov (United States)

    1991-05-13

    ATTACK HELICOPTER OPERATIONS: ART OR SCIENCE ? BY LIEUTENANT COLONEL JAN CALLEN United States Army DISTRIBUTION STATEMENT A: Approved for public release...TASK IWORK UNIT ELEMENT NO. NO. NO. ACCESSION NC 11. TITLE (Include Socurity Classification) Attack Helicopter Operations: Art or Science ? 12. PERSONAL...OPERATIONS: ART OR SCIENCE ? AN INDIVIDUAL STUDY PROJECT by Lieutenant Colonel Jan Callen United States Army Colonel Greg Snelgrove Project Adviser U.S

  18. Implementing Distributed Operations: A Comparison of Two Deep Space Missions

    Science.gov (United States)

    Mishkin, Andrew; Larsen, Barbara

    2006-01-01

    Two very different deep space exploration missions--Mars Exploration Rover and Cassini--have made use of distributed operations for their science teams. In the case of MER, the distributed operations capability was implemented only after the prime mission was completed, as the rovers continued to operate well in excess of their expected mission lifetimes; Cassini, designed for a mission of more than ten years, had planned for distributed operations from its inception. The rapid command turnaround timeline of MER, as well as many of the operations features implemented to support it, have proven to be conducive to distributed operations. These features include: a single science team leader during the tactical operations timeline, highly integrated science and engineering teams, processes and file structures designed to permit multiple team members to work in parallel to deliver sequencing products, web-based spacecraft status and planning reports for team-wide access, and near-elimination of paper products from the operations process. Additionally, MER has benefited from the initial co-location of its entire operations team, and from having a single Principal Investigator, while Cassini operations have had to reconcile multiple science teams distributed from before launch. Cassini has faced greater challenges in implementing effective distributed operations. Because extensive early planning is required to capture science opportunities on its tour and because sequence development takes significantly longer than sequence execution, multiple teams are contributing to multiple sequences concurrently. The complexity of integrating inputs from multiple teams is exacerbated by spacecraft operability issues and resource contention among the teams, each of which has their own Principal Investigator. Finally, much of the technology that MER has exploited to facilitate distributed operations was not available when the Cassini ground system was designed, although later adoption

  19. The Path from Large Earth Science Datasets to Information

    Science.gov (United States)

    Vicente, G. A.

    2013-12-01

    The NASA Goddard Earth Sciences Data (GES) and Information Services Center (DISC) is one of the major Science Mission Directorate (SMD) for archiving and distribution of Earth Science remote sensing data, products and services. This virtual portal provides convenient access to Atmospheric Composition and Dynamics, Hydrology, Precipitation, Ozone, and model derived datasets (generated by GSFC's Global Modeling and Assimilation Office), the North American Land Data Assimilation System (NLDAS) and the Global Land Data Assimilation System (GLDAS) data products (both generated by GSFC's Hydrological Sciences Branch). This presentation demonstrates various tools and computational technologies developed in the GES DISC to manage the huge volume of data and products acquired from various missions and programs over the years. It explores approaches to archive, document, distribute, access and analyze Earth Science data and information as well as addresses the technical and scientific issues, governance and user support problem faced by scientists in need of multi-disciplinary datasets. It also discusses data and product metrics, user distribution profiles and lessons learned through interactions with the science communities around the world. Finally it demonstrates some of the most used data and product visualization and analyses tools developed and maintained by the GES DISC.

  20. Handbook of tables for order statistics from lognormal distributions with applications

    CERN Document Server

    Balakrishnan, N

    1999-01-01

    Lognormal distributions are one of the most commonly studied models in the sta­ tistical literature while being most frequently used in the applied literature. The lognormal distributions have been used in problems arising from such diverse fields as hydrology, biology, communication engineering, environmental science, reliability, agriculture, medical science, mechanical engineering, material science, and pharma­ cology. Though the lognormal distributions have been around from the beginning of this century (see Chapter 1), much of the work concerning inferential methods for the parameters of lognormal distributions has been done in the recent past. Most of these methods of inference, particUlarly those based on censored samples, involve extensive use of numerical methods to solve some nonlinear equations. Order statistics and their moments have been discussed quite extensively in the literature for many distributions. It is very well known that the moments of order statistics can be derived explicitly only...

  1. Enabling data science in the Gaia mission archive: The present-day mass function and age distribution

    Science.gov (United States)

    Tapiador, D.; Berihuete, A.; Sarro, L. M.; Julbe, F.; Huedo, E.

    2017-04-01

    Recent advances in large scale computing architectures enable new opportunities to extract value out of the vast amounts of data being currently generated. However, their successful adoption is not straightforward in areas like science, as there are still some barriers that need to be overcome. Those comprise (i) the existence of legacy code that needs to be ported, (ii) the lack of high-level and use case specific frameworks that facilitate a smoother transition, or (iii) the scarcity of profiles with the balanced skill sets between the technological and scientific domains. The European Space Agency's Gaia mission will create the largest and most precise three dimensional chart of our galaxy (the Milky Way), providing unprecedented position, parallax and proper motion measurements for about one billion stars. The successful exploitation of this data archive will depend on the ability to offer the proper infrastructure upon which scientists will be able to do exploration and modelling with this huge data set. In this paper, we present and contextualize these challenges by building two probabilistic models using Hierarchical Bayesian Modelling. These models represent a key challenge in astronomy and are of paramount importance for the Gaia mission itself. Moreover, we approach the implementation by leveraging a generic distributed processing engine through an existing software package for Markov chain Monte Carlo sampling. The two computationally intensive models are then validated with simulated data in different scenarios under specific restrictions, and their performance is assessed to prove their scalability. We argue that this approach will not only serve for the models in hand but also for exemplifying how to address similar problems in science, which may need to both scale to bigger data sets and reuse existing software as much as possible. This will lead to shorter time to science in massive data archives.

  2. Public Access to NASA's Earth Science Data

    Science.gov (United States)

    Behnke, J.; James, N.

    2013-12-01

    Many steps have been taken over the past 20 years to make NASA's Earth Science data more accessible to the public. The data collected by NASA represent a significant public investment in research. NASA holds these data in a public trust to promote comprehensive, long-term Earth science research. Consequently, NASA developed a free, open and non-discriminatory policy consistent with existing international policies to maximize access to data and to keep user costs as low as possible. These policies apply to all data archived, maintained, distributed or produced by NASA data systems. The Earth Observing System Data and Information System (EOSDIS) is a major core capability within NASA Earth Science Data System Program. EOSDIS is designed to ingest, process, archive, and distribute data from approximately 90 instruments. Today over 6800 data products are available to the public through the EOSDIS. Last year, EOSDIS distributed over 636 million science data products to the user community, serving over 1.5 million distinct users. The system supports a variety of science disciplines including polar processes, land cover change, radiation budget, and most especially global climate change. A core philosophy of EOSDIS is that the general user is best served by providing discipline specific support for the data. To this end, EOSDIS has collocated NASA Earth science data with centers of science discipline expertise, called Distributed Active Archive Centers (DAACs). DAACs are responsible for data management, archive and distribution of data products. There are currently twelve DAACs in the EOSDIS system. The centralized entrance point to the NASA Earth Science data collection can be found at http://earthdata.nasa.gov. Over the years, we have developed several methods for determining needs of the user community including use of the American Customer Satisfaction Index survey and a broad metrics program. Annually, we work with an independent organization (CFI Group) to send this

  3. Species distribution models and impact factor growth in environmental journals: methodological fashion or the attraction of global change science.

    Science.gov (United States)

    Brotons, Lluís

    2014-01-01

    In this work, I evaluate the impact of species distribution models (SDMs) on the current status of environmental and ecological journals by asking the question to which degree development of SDMs in the literature is related to recent changes in the impact factors of ecological journals. The hypothesis evaluated states that research fronts are likely to attract research attention and potentially drive citation patterns, with journals concentrating papers related to the research front receiving more attention and benefiting from faster increases in their impact on the ecological literature. My results indicate a positive relationship between the number of SDM related articles published in a journal and its impact factor (IF) growth during the period 2000-09. However, the percentage of SDM related papers in a journal was strongly and positively associated with the percentage of papers on climate change and statistical issues. The results support the hypothesis that global change science has been critical in the development of SDMs and that interest in climate change research in particular, rather than the usage of SDM per se, appears as an important factor behind journal IF increases in ecology and environmental sciences. Finally, our results on SDM application in global change science support the view that scientific interest rather than methodological fashion appears to be the major driver of research attraction in the scientific literature.

  4. A brief overview of the distribution test grids with a distributed generation inclusion case study

    Directory of Open Access Journals (Sweden)

    Stanisavljević Aleksandar M.

    2018-01-01

    Full Text Available The paper presents an overview of the electric distribution test grids issued by different technical institutions. They are used for testing different scenarios in operation of a grid for research, benchmarking, comparison and other purposes. Their types, main characteristics, features as well as application possibilities are shown. Recently, these grids are modified with inclusion of distributed generation. An example of modification and application of the IEEE 13-bus for testing effects of faults in cases without and with a distributed generator connection to the grid is presented. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. III 042004: Smart Electricity Distribution Grids Based on Distribution Management System and Distributed Generation

  5. Journal of Earth System Science | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Earth System Science; Volume 117; Issue 4. Spatial distribution of atmospheric carbon monoxide over Bay of Bengal and Arabian Sea: Measurements during pre-monsoon period of 2006. V R Aneesh G Mohankumar S Sampath. Volume 117 Issue 4 August 2008 pp 449-455 ...

  6. 2002 Microgravity Materials Science Conference

    Science.gov (United States)

    Gillies, Donald (Editor); Ramachandran, Narayanan (Editor); Murphy, Karen (Editor); McCauley, Dannah (Editor); Bennett, Nancy (Editor)

    2003-01-01

    The 2002 Microgravity Materials Science Conference was held June 25-26, 2002, at the Von Braun Center, Huntsville, Alabama. Organized by the Microgravity Materials Science Discipline Working Group, sponsored by the Physical Sciences Research Division, NASA Headquarters, and hosted by NASA Marshall Space Flight Center and member institutions under the Cooperative Research in Biology and Materials Science (CORBAMS) agreement, the conference provided a forum to review the current research and activities in materials science, discuss the envisioned long-term goals, highlight new crosscutting research areas of particular interest to the Physical Sciences Research Division, and inform the materials science community of research opportunities in reduced gravity. An abstracts book was published and distributed at the conference to the approximately 240 people attending, who represented industry, academia, and other NASA Centers. This CD-ROM proceedings is comprised of the research reports submitted by the Principal Investigators in the Microgravity Materials Science program.

  7. Science packages

    Science.gov (United States)

    1997-01-01

    Primary science teachers in Scotland have a new updating method at their disposal with the launch of a package of CDi (Compact Discs Interactive) materials developed by the BBC and the Scottish Office. These were a response to the claim that many primary teachers felt they had been inadequately trained in science and lacked the confidence to teach it properly. Consequently they felt the need for more in-service training to equip them with the personal understanding required. The pack contains five disks and a printed user's guide divided up as follows: disk 1 Investigations; disk 2 Developing understanding; disks 3,4,5 Primary Science staff development videos. It was produced by the Scottish Interactive Technology Centre (Moray House Institute) and is available from BBC Education at £149.99 including VAT. Free Internet distribution of science education materials has also begun as part of the Global Schoolhouse (GSH) scheme. The US National Science Teachers' Association (NSTA) and Microsoft Corporation are making available field-tested comprehensive curriculum material including 'Micro-units' on more than 80 topics in biology, chemistry, earth and space science and physics. The latter are the work of the Scope, Sequence and Coordination of High School Science project, which can be found at http://www.gsh.org/NSTA_SSandC/. More information on NSTA can be obtained from its Web site at http://www.nsta.org.

  8. INDIGO-DataCloud solutions for Earth Sciences

    Science.gov (United States)

    Aguilar Gómez, Fernando; de Lucas, Jesús Marco; Fiore, Sandro; Monna, Stephen; Chen, Yin

    2017-04-01

    INDIGO-DataCloud (https://www.indigo-datacloud.eu/) is a European Commission funded project aiming to develop a data and computing platform targeting scientific communities, deployable on multiple hardware and provisioned over hybrid (private or public) e-infrastructures. The development of INDIGO solutions covers the different layers in cloud computing (IaaS, PaaS, SaaS), and provides tools to exploit resources like HPC or GPGPUs. INDIGO is oriented to support European Scientific research communities, that are well represented in the project. Twelve different Case Studies have been analyzed in detail from different fields: Biological & Medical sciences, Social sciences & Humanities, Environmental and Earth sciences and Physics & Astrophysics. INDIGO-DataCloud provides solutions to emerging challenges in Earth Science like: -Enabling an easy deployment of community services at different cloud sites. Many Earth Science research infrastructures often involve distributed observation stations across countries, and also have distributed data centers to support the corresponding data acquisition and curation. There is a need to easily deploy new data center services while the research infrastructure continuous spans. As an example: LifeWatch (ESFRI, Ecosystems and Biodiversity) uses INDIGO solutions to manage the deployment of services to perform complex hydrodynamics and water quality modelling over a Cloud Computing environment, predicting algae blooms, using the Docker technology: TOSCA requirement description, Docker repository, Orchestrator for deployment, AAI (AuthN, AuthZ) and OneData (Distributed Storage System). -Supporting Big Data Analysis. Nowadays, many Earth Science research communities produce large amounts of data and and are challenged by the difficulties of processing and analysing it. A climate models intercomparison data analysis case study for the European Network for Earth System Modelling (ENES) community has been setup, based on the Ophidia big

  9. Internalization of Malaysian mathematical and computer science journals

    OpenAIRE

    Zainab, A. N.

    2008-01-01

    The internationalization characteristics of two Malaysian journals, Bulletin of the Malaysian Mathematical Sciences Society ( indexed by ISI) and the Malaysian Journal of Computer Science ( indexed by Inspec and Scopus) is observed. All issues for the years 2000 to 2007 were looked at to obtain the following information, (i) total articles published between 2000 and 2007; (ii) the distribution of foreign and Malaysian authors publishing in the journals; (iii) the distribution of articles by c...

  10. Distributed creativity

    DEFF Research Database (Denmark)

    Glaveanu, Vlad Petre

    This book challenges the standard view that creativity comes only from within an individual by arguing that creativity also exists ‘outside’ of the mind or more precisely, that the human mind extends through the means of action into the world. The notion of ‘distributed creativity’ is not commonly...... used within the literature and yet it has the potential to revolutionise the way we think about creativity, from how we define and measure it to what we can practically do to foster and develop creativity. Drawing on cultural psychology, ecological psychology and advances in cognitive science......, this book offers a basic framework for the study of distributed creativity that considers three main dimensions of creative work: sociality, materiality and temporality. Starting from the premise that creativity is distributed between people, between people and objects and across time, the book reviews...

  11. Distributed security in closed distributed systems

    DEFF Research Database (Denmark)

    Hernandez, Alejandro Mario

    properties. This is also restricted to distributed systems in which the set of locations is known a priori. All this follows techniques borrowed from both the model checking and the static analysis communities. In the end, we reach a step towards solving the problem of enforcing security in distributed...... systems. We achieve the goal of showing how this can be done, though we restrict ourselves to closed systems and with a limited set of enforceable security policies. In this setting, our approach proves to be efficient. Finally, we achieve all this by bringing together several fields of Computer Science......The goal of the present thesis is to discuss, argue and conclude about ways to provide security to the information travelling around computer systems consisting of several known locations. When developing software systems, security of the information managed by these plays an important role...

  12. Water Technology Lecture 3: Water Distribution

    OpenAIRE

    Gray, Nicholas Frederick

    2017-01-01

    This is the third lecture in the course Water Technology dealing with water distribution. This is a PowerPoint lecture which is free to use and modify. It was designed to be used in conjunction with the course text Gray, N.F. (2017) Water Science and Technology: An Introduction, published by CRC Press, Oxford. The basis of water distribution is explored including water pipe materials, distribution systems, leakage, water quality problems, pressure issue, water hydrants, effect of floods,...

  13. Remote Instrumentation for eScience and Related Aspects

    CERN Document Server

    Lawenda, Marcin; Meyer, Norbert; Pugliese, Roberto; Węglarz, Jan; Zappatore, Sandro

    2012-01-01

    Making scientific instruments a manageable resource over distributed computing infrastructures such as the grid has been a key focal point of e-science research in recent years. It is now known by the generic term ‘remote instrumentation’, and is the subject of this useful volume that covers a range of perspectives on the topic reflected by the contributions to the 2010 workshop on remote instrumentation held in Poznań, Poland. E-science itself is a complex set of disciplines requiring computationally intensive distributed operations, high-speed networking, and collaborative working tools. As such, it is most often (and correctly) associated with grid- and cloud-computing infrastructures and middleware. The contributions to this publication consider broader aspects of the theme of remote instrumentation applied to e-science, as well as exploring related technologies that enable the implementation of truly distributed and coordinated laboratories. Among the topics discussed are remote instrumentation and ...

  14. Towards a Science Base for Cybersecurity

    Science.gov (United States)

    2016-06-08

    485. 7. Computing researchers get ’schooled’ on science policy at CCC work- shop . Computing Research News Volume 24, No. 1 (January 2012). With Peter...AFRL-AFOSR-VA-TR-2016-0177 Towards a Science Base for Cybersecurity Fred Schneider CORNELL UNIVERSITY Final Report 06/08/2016 DISTRIBUTION A... Science Base for Cybersecurity 5a. CONTRACT NUMBER N/A 5b. GRANT NUMBER FA9550-11-1-0137 5c. PROGRAM ELEMENT NUMBER N/A 6. AUTHOR(S) Schneider, Fred

  15. National Space Science Data Center data archive and distribution service (NDADS) automated retrieval mail system user's guide

    Science.gov (United States)

    Perry, Charleen M.; Vansteenberg, Michael E.

    1992-01-01

    The National Space Science Data Center (NSSDC) has developed an automated data retrieval request service utilizing our Data Archive and Distribution Service (NDADS) computer system. NDADS currently has selected project data written to optical disk platters with the disks residing in a robotic 'jukebox' near-line environment. This allows for rapid and automated access to the data with no staff intervention required. There are also automated help information and user services available that can be accessed. The request system permits an average-size data request to be completed within minutes of the request being sent to NSSDC. A mail message, in the format described in this document, retrieves the data and can send it to a remote site. Also listed in this document are the data currently available.

  16. 11th International Symposium on Distributed Autonomous Robotic Systems

    CERN Document Server

    Chirikjian, Gregory

    2014-01-01

    Distributed robotics is a rapidly growing and maturing interdisciplinary research area lying at the intersection of computer science, network science, control theory, and electrical and mechanical engineering. The goal of the Symposium on Distributed Autonomous Robotic Systems (DARS) is to exchange and stimulate research ideas to realize advanced distributed robotic systems. This volume of proceedings includes 31 original contributions presented at the 2012 International Symposium on Distributed Autonomous Robotic Systems (DARS 2012) held in November 2012 at the Johns Hopkins University in Baltimore, MD USA. The selected papers in this volume are authored by leading researchers from Asia, Europa, and the Americas, thereby providing a broad coverage and perspective of the state-of-the-art technologies, algorithms, system architectures, and applications in distributed robotic systems. The book is organized into five parts, representative of critical long-term and emerging research thrusts in the multi-robot com...

  17. ScienceOrganizer System and Interface Summary

    Science.gov (United States)

    Keller, Richard M.; Norvig, Peter (Technical Monitor)

    2001-01-01

    ScienceOrganizer is a specialized knowledge management tool designed to enhance the information storage, organization, and access capabilities of distributed NASA science teams. Users access ScienceOrganizer through an intuitive Web-based interface that enables them to upload, download, and organize project information - including data, documents, images, and scientific records associated with laboratory and field experiments. Information in ScienceOrganizer is "threaded", or interlinked, to enable users to locate, track, and organize interrelated pieces of scientific data. Linkages capture important semantic relationships among information resources in the repository, and these assist users in navigating through the information related to their projects.

  18. Parallel Distributed Processing theory in the age of deep networks

    OpenAIRE

    Bowers, Jeffrey

    2017-01-01

    Parallel Distributed Processing (PDP) models in psychology are the precursors of deep networks used in computer science. However, only PDP models are associated with two core psychological claims, namely, that all knowledge is coded in a distributed format, and cognition is mediated by non-symbolic computations. These claims have long been debated within cognitive science, and recent work with deep networks speaks to this debate. Specifically, single-unit recordings show that deep networks le...

  19. Distributed Language and Dialogism

    DEFF Research Database (Denmark)

    Steffensen, Sune Vork

    2015-01-01

    addresses Linell’s critique of Distributed Language as rooted in biosemiotics and in theories of organism-environment systems. It is argued that Linell’s sense-based approach entails an individualist view of how conspecific Others acquire their status as prominent parts of the sense-maker’s environment......This article takes a starting point in Per Linell’s (2013) review article on the book Distributed Language (Cowley, 2011a) and other contributions to the field of ‘Distributed Language’, including Cowley et al. (2010) and Hodges et al. (2012). The Distributed Language approach is a naturalistic...... and anti-representational approach to language that builds on recent developments in the cognitive sciences. With a starting point in Linell’s discussion of the approach, the article aims to clarify four aspects of a distributed view of language vis-à-vis the tradition of Dialogism, as presented by Linell...

  20. Mash-up of techniques between data crawling/transfer, data preservation/stewardship and data processing/visualization technologies on a science cloud system designed for Earth and space science: a report of successful operation and science projects of the NICT Science Cloud

    Science.gov (United States)

    Murata, K. T.

    2014-12-01

    Data-intensive or data-centric science is 4th paradigm after observational and/or experimental science (1st paradigm), theoretical science (2nd paradigm) and numerical science (3rd paradigm). Science cloud is an infrastructure for 4th science methodology. The NICT science cloud is designed for big data sciences of Earth, space and other sciences based on modern informatics and information technologies [1]. Data flow on the cloud is through the following three techniques; (1) data crawling and transfer, (2) data preservation and stewardship, and (3) data processing and visualization. Original tools and applications of these techniques have been designed and implemented. We mash up these tools and applications on the NICT Science Cloud to build up customized systems for each project. In this paper, we discuss science data processing through these three steps. For big data science, data file deployment on a distributed storage system should be well designed in order to save storage cost and transfer time. We developed a high-bandwidth virtual remote storage system (HbVRS) and data crawling tool, NICTY/DLA and Wide-area Observation Network Monitoring (WONM) system, respectively. Data files are saved on the cloud storage system according to both data preservation policy and data processing plan. The storage system is developed via distributed file system middle-ware (Gfarm: GRID datafarm). It is effective since disaster recovery (DR) and parallel data processing are carried out simultaneously without moving these big data from storage to storage. Data files are managed on our Web application, WSDBank (World Science Data Bank). The big-data on the cloud are processed via Pwrake, which is a workflow tool with high-bandwidth of I/O. There are several visualization tools on the cloud; VirtualAurora for magnetosphere and ionosphere, VDVGE for google Earth, STICKER for urban environment data and STARStouch for multi-disciplinary data. There are 30 projects running on the NICT

  1. Stochastic processes in the social sciences: Markets, prices and wealth distributions

    Science.gov (United States)

    Romero, Natalia E.

    The present work uses statistical mechanics tools to investigate the dynamics of markets, prices, trades and wealth distribution. We studied the evolution of market dynamics in different stages of historical development by analyzing commodity prices from two distinct periods ancient Babylon, and medieval and early modern England. We find that the first-digit distributions of both Babylon and England commodity prices follow Benfords law, indicating that the data represent empirical observations typically arising from a free market. Further, we find that the normalized prices of both Babylon and England agricultural commodities are characterized by stretched exponential distributions, and exhibit persistent correlations of a power law type over long periods of up to several centuries, in contrast to contemporary markets. Our findings suggest that similar market interactions may underlie the dynamics of ancient agricultural commodity prices, and that these interactions may remain stable across centuries. To further investigate the dynamics of markets we present the analogy between transfers of money between individuals and the transfer of energy through particle collisions by means of the kinetic theory of gases. We introduce a theoretical framework of how the micro rules of trading lead to the emergence of income and wealth distribution. Particularly, we study the effects of different types of distribution of savings/investments among individuals in a society and different welfare/subsidies redistribution policies. Results show that while considering savings propensities the models approach empirical distributions of wealth quite well the effect of redistribution better captures specific features of the distributions which earlier models failed to do; moreover the models still preserve the exponential decay observed in empirical income distributions reported by tax data and surveys.

  2. The ATLAS distributed analysis system

    OpenAIRE

    Legger, F.

    2014-01-01

    In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During...

  3. Engaging Nature of Science to Preservice Teachers through Inquiry-Based Classroom

    Science.gov (United States)

    Nuangchalerm, Prasart

    2013-01-01

    Inquiry-based classroom is widely distributed in the school science based on its useful and effective instruction. Science teachers are key elements allowing students to have scientific inquiry. If teachers understand and imply inquiry-based learning into science classroom, students will learn science as scientific inquiry and understand nature of…

  4. High-power random distributed feedback fiber laser: From science to application

    Energy Technology Data Exchange (ETDEWEB)

    Du, Xueyuan [College of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha 410073 (China); Naval Academy of Armament, Beijing 100161 (China); Zhang, Hanwei; Xiao, Hu; Ma, Pengfei; Wang, Xiaolin; Zhou, Pu; Liu, Zejin [College of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha 410073 (China)

    2016-10-15

    A fiber laser based on random distributed feedback has attracted increasing attention in recent years, as it has become an important photonic device and has found wide applications in fiber communications or sensing. In this article, recent advances in high-power random distributed feedback fiber laser are reviewed, including the theoretical analyses, experimental approaches, discussion on the practical applications and outlook. It is found that a random distributed feedback fiber laser can not only act as an information photonics device, but also has the feasibility for high-efficiency/high-power generation, which makes it competitive with conventional high-power laser sources. In addition, high-power random distributed feedback fiber laser has been successfully applied for midinfrared lasing, frequency doubling to the visible and high-quality imaging. It is believed that the high-power random distributed feedback fiber laser could become a promising light source with simple and economic configurations. (copyright 2016 by WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim)

  5. Securing Distributed Research

    CERN Multimedia

    CERN. Geneva

    2018-01-01

    Global science calls for global infrastructure. A typical large-scale research group will use a suite of international services and involve hundreds of collaborating institutes and users from around the world. How can these users access those services securely? How can their digital identities be established, verified and maintained? We will explore the motivation for distributed authentication and the ways in which research communities are addressing the challenges. We will discuss security incident response in distributed environments - a particular challenge for the operators of these infrastructures. Through this course you should gain an overview of federated identity technologies and protocols, including x509 certificates, SAML and OIDC.

  6. NEON Citizen Science: Planning and Prototyping (Invited)

    Science.gov (United States)

    Gram, W.

    2010-12-01

    The National Ecological Observatory Network (NEON) will be a national resource for ecological research and education. NEON citizen science projects are being designed to increase awareness and educate citizen scientists about the impacts of climate change, land-use change, and invasive species on continental-scale ecological processes as well as expand NEON data collection capacity by enabling laypersons to collect geographically distributed data. The citizen science area of the NEON web portal will enable citizen scientists to collect, contribute, interpret, and visualize scientific data, as well as access training modules, collection protocols and targeted learning experiences related to citizen science project topics. For NEON, citizen science projects are a means for interested people to interact with and contribute to NEON science. Investigations at vast spatial and temporal scales often require rapid acquisition of large amounts of data from a geographically distributed population of “human sensors.” As a continental-scale ecological observatory, NEON is uniquely positioned to develop strategies to effectively integrate data collected by non-scientists into scientific databases. Ultimately, we plan to work collaboratively to transform the practice of science to include “citizens” or non-scientists in the process. Doing science is not limited to scientists, and breaking down the barriers between scientists and citizens will help people better understand the power of using science in their own decision making. In preparation for fully developing the NEON citizen science program, we are partnering with Project BudBurst (PBB), a citizen science project focused on monitoring plant phenology. The educational goals of PBB are to: (1) increase awareness of climate change, (2) educate citizen scientists about the impacts of climate change on plants and the environment, and (3) increase science literacy by engaging participants in the scientific process

  7. Multivariate Birnbaum-Saunders Distributions: Modelling and Applications

    Directory of Open Access Journals (Sweden)

    Robert G. Aykroyd

    2018-03-01

    Full Text Available Since its origins and numerous applications in material science, the Birnbaum–Saunders family of distributions has now found widespread uses in some areas of the applied sciences such as agriculture, environment and medicine, as well as in quality control, among others. It is able to model varied data behaviour and hence provides a flexible alternative to the most usual distributions. The family includes Birnbaum–Saunders and log-Birnbaum–Saunders distributions in univariate and multivariate versions. There are now well-developed methods for estimation and diagnostics that allow in-depth analyses. This paper gives a detailed review of existing methods and of relevant literature, introducing properties and theoretical results in a systematic way. To emphasise the range of suitable applications, full analyses are included of examples based on regression and diagnostics in material science, spatial data modelling in agricultural engineering and control charts for environmental monitoring. However, potential future uses in new areas such as business, economics, finance and insurance are also discussed. This work is presented to provide a full tool-kit of novel statistical models and methods to encourage other researchers to implement them in these new areas. It is expected that the methods will have the same positive impact in the new areas as they have had elsewhere.

  8. The XCAT Science Portal

    Directory of Open Access Journals (Sweden)

    Sriram Krishnan

    2002-01-01

    Full Text Available This paper describes the design and prototype implementation of the XCAT Grid Science Portal. The portal lets grid application programmers script complex distributed computations and package these applications with simple interfaces for others to use. Each application is packaged as a notebook which consists of web pages and editable parameterized scripts. The portal is a workstation-based specialized personal web server, capable of executing the application scripts and launching remote grid applications for the user. The portal server can receive event streams published by the application and grid resource information published by Network Weather Service (NWS [35] or Autopilot [16] sensors. Notebooks can be published and stored in web based archives for others to retrieve and modify. The XCAT Grid Science Portal has been tested with various applications, including the distributed simulation of chemical processes in semiconductor manufacturing and collaboratory support for X-ray crystallographers.

  9. Relaxometry in soil science

    Science.gov (United States)

    Schaumann, G. E.; Jaeger, F.; Bayer, J. V.

    2009-04-01

    NMR relaxometry is a sensitive, informative and promising method to study pore size distribution in soils as well as many kinds of soil physicochemical processes, among which are wetting, swelling or changes in the macromolecular status. Further, it is a very helpful method to study interactions between molecules in soil organic matter and it can serve to study the state of binding of water or organic chemicals to soil organic matter. The method of Relaxometry excite the nuclei of interest and their relaxation kinetics are observed. The relaxation time is the time constant of this first order relaxation process. Most applications of relaxometry concentrate on protons, addressing water molecules or H-containing organic molecules. In this context, 1H-NMR relaxometry may be used as an analysis method to determine water uptake characteristics of soils, thus gaining information about water distribution and mobility as well as pore size distribution in wet and moist samples. Additionally, it can also serve as a tool to study mobility of molecular segments in biopolymers. Principally, relaxometry is not restricted to protons. In soil science, relaxometry is also applied using deuterium, xenon and other nuclei to study pore size distribution and interactions. The relaxation time depends on numerous parameters like surface relaxivity, diffusion and interactions between nuclei as well as between nuclei and the environment. One- and two-dimensional methods address the relation between relaxation time and diffusion coefficients and can give information about the interconnectivity of pores. More specific information can be gained using field cycling techniques. Although proton NMR relaxometry is a very promising method in soil science, it has been applied scarcely up to now. It was used to assess changes in molecular rigidity of humic substances. A very recent study shows the potential of NMR relaxometry to assess the pore size distribution of soils in a fast and non

  10. What science are you singing? A study of the science image in the mainstream music of Taiwan.

    Science.gov (United States)

    Huang, Chun-Ju; Allgaier, Joachim

    2015-01-01

    Previous research showed that pop music bands in the Western world have sometimes included science imagery in their lyrics. Their songs could potentially be helpful facilitators for science communication and public engagement purposes. However, so far no systematic research has been conducted for investigating science in popular music in Eastern cultures. This study explores whether science has been regarded as an element in the creation of popular mainstream music, and examines the content and quantity of distribution through an analysis of mainstream music lyrics, to reflect on the conditions of the absorption of science into popular culture. The results indicate that expressions related to astronomy and space science feature very prominently. Most of the lyrics are connected to emotional states and mood expressions and they are only very rarely related to actual issues of science. The implications for science communication and further research are discussed in the final section. © The Author(s) 2014.

  11. BER Science Network Requirements

    Energy Technology Data Exchange (ETDEWEB)

    Alapaty, Kiran; Allen, Ben; Bell, Greg; Benton, David; Brettin, Tom; Canon, Shane; Dart, Eli; Cotter, Steve; Crivelli, Silvia; Carlson, Rich; Dattoria, Vince; Desai, Narayan; Egan, Richard; Tierney, Brian; Goodwin, Ken; Gregurick, Susan; Hicks, Susan; Johnston, Bill; de Jong, Bert; Kleese van Dam, Kerstin; Livny, Miron; Markowitz, Victor; McGraw, Jim; McCord, Raymond; Oehmen, Chris; Regimbal, Kevin; Shipman, Galen; Strand, Gary; Flick, Jeff; Turnbull, Susan; Williams, Dean; Zurawski, Jason

    2010-11-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2010 ESnet and the Office of Biological and Environmental Research, of the DOE Office of Science, organized a workshop to characterize the networking requirements of the science programs funded by BER. The requirements identified at the workshop are summarized and described in more detail in the case studies and the Findings section. A number of common themes emerged from the case studies and workshop discussions. One is that BER science, like many other disciplines, is becoming more and more distributed and collaborative in nature. Another common theme is that data set sizes are exploding. Climate Science in particular is on the verge of needing to manage exabytes of data, and Genomics is on the verge of a huge paradigm shift in the number of sites with sequencers and the amount of sequencer data being generated.

  12. Symposium 1: Challenges in science education and popularization of Science

    Directory of Open Access Journals (Sweden)

    Ildeo de Castro Moreira

    2014-08-01

    Full Text Available Science education and popularization of science are important elements for social inclusion. The Brazil exhibits strong inequalities regarding the distribution of wealth, access to cultural assets and appropriation of scientific and technological knowledge. Each Brazilian should have the opportunity to acquire a basic knowledge of science and its operation that allow them to understand their environment and expand their professional opportunities. However, the overall performance of Brazilian students in science and math is bad. The basic science education has, most often, few resources and is discouraging, with little appreciation of experimentation, interdisciplinarity and creativity. Beside the shortage of science teachers, especially teachers with good formation, predominate poor wage and working conditions, and deficiencies in instructional materials and laboratories. If there was a significant expansion in access to basic education, the challenge remains to improve their quality. According to the last National Conference of STI, there is need of a profound educational reform at all levels, in particular with regard to science education. Already, the popularization of science can be an important tool for the construction of scientific culture and refinement of the formal teaching instrument. However, we still lack a comprehensive and adequate public policy to her intended. Clearly, in recent decades, an increase in scientific publication occurred: creating science centers and museums; greater media presence; use of the internet and social networks; outreach events, such as the National Week of CT. But the scenario is shown still fragile and limited to broad swathes of Brazilians without access to scientific education and qualified information on CT. In this presentation, from a general diagnosis of the situation, some of the main challenges related to education and popularization of science in the country will address herself.

  13. species composition, relative abundance and distribution

    African Journals Online (AJOL)

    Preferred Customer

    College of Natural Sciences, Addis Ababa University, 2011. ISSN: 0379– ... distribution at Entoto Natural Park and escarpment was carried out during July 2009 - March 2010. The study ..... University Press, Princeton and Oxford, 496 pp. 20.

  14. Project of international science-education center and integration problems of nano science education in far eastern region of Asia

    International Nuclear Information System (INIS)

    Plusnin, N I; Lazarev, G I

    2008-01-01

    Some conception of international science-education center on nano science in Vladivostok is presented. The conception is based on internal and external prerequisites. Internal one is high intellectual potential of institutes of Russian Academy of Sciences and universities of Vladivostok and external one is need of countries of Far Eastern region of Asia in high level manpower. The conception takes into account a specific distribution of science and education potential between Russian Academy of Sciences and Russian universities and a specific their dislocation in Vladivostok. First specific dictates some similarity of organization structure and function of international science-education center to typical science-education center in Russia. But as for dislocation of the international science-education center in Vladivostok, it should be near dislocation of institutes of Far Eastern Brunch of Russian Academy of Sciences in Vladivostok, which are dislocated very compactly in suburb zone of Vladivostok

  15. Collaboration, Interdisciplinarity, and the Epistemology of Contemporary Science

    DEFF Research Database (Denmark)

    Andersen, Hanne

    2016-01-01

    shall provide a new account of the structure and development of contemporary science based on analyses of, first, cognitive resources and their relations to domains, and second of the distribution of cognitive resources among collaborators and the epistemic dependence that this distribution implies...

  16. Science initial teacher education and superdiversity: educating science teachers for a multi-religious and globalised science classroom

    Science.gov (United States)

    De Carvalho, Roussel

    2016-06-01

    Steven Vertovec (2006, 2007) has recently offered a re-interpretation of population diversity in large urban centres due to a considerable increase in immigration patterns in the UK. This complex scenario called superdiversity has been conceptualised to help illuminate significant interactions of variables such as religion, language, gender, age, nationality, labour market and population distribution on a larger scale. The interrelationships of these themes have fundamental implications in a variety of community environments, but especially within our schools. Today, London schools have over 300 languages being spoken by students, all of whom have diverse backgrounds, bringing with them a wealth of experience and, most critically, their own set of religious beliefs. At the same time, Science is a compulsory subject in England's national curriculum, where it requires teachers to deal with important scientific frameworks about the world; teaching about the origins of the universe, life on Earth, human evolution and other topics, which are often in conflict with students' religious views. In order to cope with this dynamic and thought-provoking environment, science initial teacher education (SITE)—especially those catering large urban centres—must evolve to equip science teachers with a meaningful understanding of how to handle a superdiverse science classroom, taking the discourse of inclusion beyond its formal boundaries. Thus, this original position paper addresses how the role of SITE may be re-conceptualised and re-framed in light of the immense challenges of superdiversity as well as how science teachers, as enactors of the science curriculum, must adapt to cater to these changes. This is also the first in a series of papers emerging from an empirical research project trying to capture science teacher educators' own views on religio-scientific issues and their positions on the place of these issues within science teacher education and the science classroom.

  17. Journal of Astrophysics and Astronomy | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    Benford's Distribution in Extrasolar World: Do the Exoplanets Follow Benford's Distribution? Abhishek .... Article ID 9 Special Section on "The Ooty Wide Field Array". Editorial ..... Articles are also visible in Web of Science immediately. All these ...

  18. 75 FR 39664 - Grant of Authority For Subzone Status Materials Science Technology, Inc. (Specialty Elastomers...

    Science.gov (United States)

    2010-07-12

    ... Status Materials Science Technology, Inc. (Specialty Elastomers and Fire Retardant Chemicals) Conroe... specialty elastomer manufacturing and distribution facility of Materials Science Technology, Inc., located... and distribution of specialty elastomers and fire retardant chemicals at the facility of Materials...

  19. The Science of Sex Differences in Science and Mathematics

    Science.gov (United States)

    Halpern, Diane F.; Benbow, Camilla P.; Geary, David C.; Gur, Ruben C.; Hyde, Janet Shibley; Gernsbacher, Morton Ann

    2014-01-01

    Summary Amid ongoing public speculation about the reasons for sex differences in careers in science and mathematics, we present a consensus statement that is based on the best available scientific evidence. Sex differences in science and math achievement and ability are smaller for the mid-range of the abilities distribution than they are for those with the highest levels of achievement and ability. Males are more variable on most measures of quantitative and visuospatial ability, which necessarily results in more males at both high- and low-ability extremes; the reasons why males are often more variable remain elusive. Successful careers in math and science require many types of cognitive abilities. Females tend to excel in verbal abilities, with large differences between females and males found when assessments include writing samples. High-level achievement in science and math requires the ability to communicate effectively and comprehend abstract ideas, so the female advantage in writing should be helpful in all academic domains. Males outperform females on most measures of visuospatial abilities, which have been implicated as contributing to sex differences on standardized exams in mathematics and science. An evolutionary account of sex differences in mathematics and science supports the conclusion that, although sex differences in math and science performance have not directly evolved, they could be indirectly related to differences in interests and specific brain and cognitive systems. We review the brain basis for sex differences in science and mathematics, describe consistent effects, and identify numerous possible correlates. Experience alters brain structures and functioning, so causal statements about brain differences and success in math and science are circular. A wide range of sociocultural forces contribute to sex differences in mathematics and science achievement and ability—including the effects of family, neighborhood, peer, and school

  20. Corporate science education: Westinghouse and the value of science in mid-twentieth century America.

    Science.gov (United States)

    Terzian, Sevan G; Shapiro, Leigh

    2015-02-01

    This study examines a largely neglected aspect of the history of science popularization in the United States: corporate depictions of the value of science to society. It delineates the Westinghouse Electric Corporation's portrayals of science to its shareholders, employees and consumers, and schoolchildren and educators during World War Two and the postwar era. Annual reports to shareholders, in-house news publications, publicity records, advertising campaigns, and educational pamphlets distributed to schools reveal the company's distinct, but complementary, messages for different stakeholders about the importance of science to American society. Collectively, Westinghouse encouraged these audiences to rely on scientists' expert leadership for their nation's security and material comforts. In an era of military mobilization, the company was able to claim that industry-led scientific research would fortify the nation and create unbounded prosperity. © The Author(s) 2013.

  1. The Federation of Earth Science Information Partners ESIP

    Science.gov (United States)

    Tilmes, Curt

    2013-01-01

    A broad-based, distributed community of science, data and information technology practitioners. With over 150 member organizations, the ESIP Federation brings together public, academic, commercial, and nongovernmental organizations to share knowledge, expertise, technology and best practices to improve opportunities for increasing access, discovery, integration and usability of Earth science data.

  2. Making Sense of Conflict in Distributed Teams: A Design Science Approach

    Science.gov (United States)

    Zhang, Guangxuan

    2016-01-01

    Conflict is a substantial, pervasive activity in team collaboration. It may arise because of differences in goals, differences in ways of working, or interpersonal dissonance. The specific focus for this research is the conflict in distributed teams. As opposed to traditional teams, participants of distributed teams are geographically dispersed…

  3. Thirty-eight years of training distribution in olympic speed skaters.

    NARCIS (Netherlands)

    Orie, J.N.M.; Hofman, N.; de Koning, J.J.; Foster Jr., C.C.

    2014-01-01

    During the last decade discussion about training-intensity distribution has been an important issue in sports science. Training-intensity distribution has not been adequately investigated in speed skating, a unique activity requiring both high power and high endurance. Purpose: To quantify the

  4. NEON Citizen Science: Planning and Prototyping

    Science.gov (United States)

    Newman, S. J.; Henderson, S.; Gardiner, L. S.; Ward, D.; Gram, W.

    2011-12-01

    The National Ecological Observatory Network (NEON) will be a national resource for ecological research and education. NEON citizen science projects are being designed to increase awareness and educate citizen scientists about the impacts of climate change, land-use change, and invasive species on continental-scale ecological processes as well as expand NEON data collection capacity by enabling laypersons to collect geographically distributed data. The citizen science area of the NEON web portal will enable citizen scientists to collect, contribute, interpret, and visualize scientific data, as well as access training modules, collection protocols and targeted learning experiences related to citizen science project topics. For NEON, citizen science projects are a means for interested people to interact with and contribute to NEON science. Investigations at vast spatial and temporal scales often require rapid acquisition of large amounts of data from a geographically distributed population of "human sensors." As a continental-scale ecological observatory, NEON is uniquely positioned to develop strategies to effectively integrate data collected by non-scientists into scientific databases. Ultimately, we plan to work collaboratively to transform the practice of science to include "citizens" or non-scientists in the process. Doing science is not limited to scientists, and breaking down the barriers between scientists and citizens will help people better understand the power of using science in their own decision making. In preparation for fully developing the NEON citizen science program, we are partnering with Project BudBurst (PBB), a citizen science project focused on monitoring plant phenology. The educational goals of PBB are to: (1) increase awareness of climate change, (2) educate citizen scientists about the impacts of climate change on plants and the environment, and (3) increase science literacy by engaging participants in the scientific process. Phenology was

  5. Analyzing Earth Science Research Networking through Visualizations

    Science.gov (United States)

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

    2017-12-01

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

  6. Quantum cryptography beyond quantum key distribution

    NARCIS (Netherlands)

    Broadbent, A.; Schaffner, C.

    2016-01-01

    Quantum cryptography is the art and science of exploiting quantum mechanical effects in order to perform cryptographic tasks. While the most well-known example of this discipline is quantum key distribution (QKD), there exist many other applications such as quantum money, randomness generation,

  7. FASEB Science Research Conference on Virus Structure and Assembly

    Science.gov (United States)

    2017-10-24

    Report: FASEB Science Research Conference on Virus Structure and Assembly The views, opinions and/or findings contained in this report are those of the...Title: FASEB Science Research Conference on Virus Structure and Assembly Report Term: 0-Other Email: srcgrants@faseb.org Distribution Statement...support for the 2016 FASEB Science Research Conference on Virus Structure and Assembly which was held July 24-29, 2016 in Steamboat Springs, CO. This

  8. Coordination control of distributed systems

    CERN Document Server

    Villa, Tiziano

    2015-01-01

    This book describes how control of distributed systems can be advanced by an integration of control, communication, and computation. The global control objectives are met by judicious combinations of local and nonlocal observations taking advantage of various forms of communication exchanges between distributed controllers. Control architectures are considered according to  increasing degrees of cooperation of local controllers:  fully distributed or decentralized control,  control with communication between controllers,  coordination control, and multilevel control.  The book covers also topics bridging computer science, communication, and control, like communication for control of networks, average consensus for distributed systems, and modeling and verification of discrete and of hybrid systems. Examples and case studies are introduced in the first part of the text and developed throughout the book. They include: control of underwater vehicles, automated-guided vehicles on a container terminal, contro...

  9. Distributional chaos for linear operators

    Czech Academy of Sciences Publication Activity Database

    Bernardes Jr., N.C.; Bonilla, A.; Müller, Vladimír; Peris, A.

    2013-01-01

    Roč. 265, č. 9 (2013), s. 2143-2163 ISSN 0022-1236 R&D Projects: GA ČR GA201/09/0473 Institutional support: RVO:67985840 Keywords : distributional chaos * hypercyclic operators * irregular vectors Subject RIV: BA - General Mathematics Impact factor: 1.152, year: 2013 http://www.sciencedirect.com/science/article/pii/S0022123613002450

  10. The MMS Science Data Center: Operations, Capabilities, and Resource.

    Science.gov (United States)

    Larsen, K. W.; Pankratz, C. K.; Giles, B. L.; Kokkonen, K.; Putnam, B.; Schafer, C.; Baker, D. N.

    2015-12-01

    The Magnetospheric MultiScale (MMS) constellation of satellites completed their six month commissioning period in August, 2015 and began science operations. Science operations for the Solving Magnetospheric Acceleration, Reconnection, and Turbulence (SMART) instrument package occur at the Laboratory for Atmospheric and Space Physics (LASP). The Science Data Center (SDC) at LASP is responsible for the data production, management, distribution, and archiving of the data received. The mission will collect several gigabytes per day of particles and field data. Management of these data requires effective selection, transmission, analysis, and storage of data in the ground segment of the mission, including efficient distribution paths to enable the science community to answer the key questions regarding magnetic reconnection. Due to the constraints on download volume, this includes the Scientist-in-the-Loop program that identifies high-value science data needed to answer the outstanding questions of magnetic reconnection. Of particular interest to the community is the tools and associated website we have developed to provide convenient access to the data, first by the mission science team and, beginning March 1, 2016, by the entire community. This presentation will demonstrate the data and tools available to the community via the SDC and discuss the technologies we chose and lessons learned.

  11. Using the Weibull distribution reliability, modeling and inference

    CERN Document Server

    McCool, John I

    2012-01-01

    Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self-contained presentation of the probabilistic basis for the methodology while providing powerful techniques for extracting information from data. The author explains the use of the Weibull distribution

  12. Provenance for distributed biomedical workflow execution

    NARCIS (Netherlands)

    Madougou, S.; Santcroos, M.; Benabdelkader, A.; van Schaik, B.D.; Shahand, S.; Korkhov, V.; van Kampen, A.H.C.; Olabarriaga, S.D.

    2012-01-01

    Scientific research has become very data and compute intensive because of the progress in data acquisition and measurement devices, which is particularly true in Life Sciences. To cope with this deluge of data, scientists use distributed computing and storage infrastructures. The use of such

  13. Gender Representation on Journal Editorial Boards in the Mathematical Sciences

    Science.gov (United States)

    2016-01-01

    We study gender representation on the editorial boards of 435 journals in the mathematical sciences. Women are known to comprise approximately 15% of tenure-stream faculty positions in doctoral-granting mathematical sciences departments in the United States. Compared to this group, we find that 8.9% of the 13067 editorships in our study are held by women. We describe group variations within the editorships by identifying specific journals, subfields, publishers, and countries that significantly exceed or fall short of this average. To enable our study, we develop a semi-automated method for inferring gender that has an estimated accuracy of 97.5%. Our findings provide the first measure of gender distribution on editorial boards in the mathematical sciences, offer insights that suggest future studies in the mathematical sciences, and introduce new methods that enable large-scale studies of gender distribution in other fields. PMID:27536970

  14. The Open Science Grid status and architecture

    Energy Technology Data Exchange (ETDEWEB)

    Pordes, Ruth; Petravick, Don; /Fermilab; Kramer, Bill; Olsen, James D.; /LBL, Berkeley; Livny, Miron; Roy, Gordon A.; /Wisconsin U., Madison; Avery, Paul Ralph; /Florida U.; Blackburn, Kent; /Caltech; Wenaus, Torre J.; /Brookhaven; Wuerthwein, Frank K.; /UC, San Diego; Foster, Ian; /Chicago U. /Indiana U.

    2007-09-01

    The Open Science Grid (OSG) provides a distributed facility where the Consortium members provide guaranteed and opportunistic access to shared computing and storage resources. The OSG project[1] is funded by the National Science Foundation and the Department of Energy Scientific Discovery through Advanced Computing program. The OSG project provides specific activities for the operation and evolution of the common infrastructure. The US ATLAS and US CMS collaborations contribute to and depend on OSG as the US infrastructure contributing to the World Wide LHC Computing Grid on which the LHC experiments distribute and analyze their data. Other stakeholders include the STAR RHIC experiment, the Laser Interferometer Gravitational-Wave Observatory (LIGO), the Dark Energy Survey (DES) and several Fermilab Tevatron experiments- CDF, D0, MiniBoone etc. The OSG implementation architecture brings a pragmatic approach to enabling vertically integrated community specific distributed systems over a common horizontal set of shared resources and services. More information can be found at the OSG web site: www.opensciencegrid.org.

  15. The Open Science Grid status and architecture

    International Nuclear Information System (INIS)

    Pordes, R; Petravick, D; Kramer, B; Olson, D; Livny, M; Roy, A; Avery, P; Blackburn, K; Wenaus, T; Wuerthwein, F; Foster, I; Gardner, R; Wilde, M; Blatecky, A; McGee, J; Quick, R

    2008-01-01

    The Open Science Grid (OSG) provides a distributed facility where the Consortium members provide guaranteed and opportunistic access to shared computing and storage resources. The OSG project[1] is funded by the National Science Foundation and the Department of Energy Scientific Discovery through Advanced Computing program. The OSG project provides specific activities for the operation and evolution of the common infrastructure. The US ATLAS and US CMS collaborations contribute to and depend on OSG as the US infrastructure contributing to the World Wide LHC Computing Grid on which the LHC experiments distribute and analyze their data. Other stakeholders include the STAR RHIC experiment, the Laser Interferometer Gravitational-Wave Observatory (LIGO), the Dark Energy Survey (DES) and several Fermilab Tevatron experiments- CDF, D0, MiniBoone etc. The OSG implementation architecture brings a pragmatic approach to enabling vertically integrated community specific distributed systems over a common horizontal set of shared resources and services. More information can be found at the OSG web site: www.opensciencegrid.org

  16. Towards distributed multiscale computing for the VPH

    NARCIS (Netherlands)

    Hoekstra, A.G.; Coveney, P.

    2010-01-01

    Multiscale modeling is fundamental to the Virtual Physiological Human (VPH) initiative. Most detailed three-dimensional multiscale models lead to prohibitive computational demands. As a possible solution we present MAPPER, a computational science infrastructure for Distributed Multiscale Computing

  17. Econophysical anchoring of unimodal power-law distributions

    International Nuclear Information System (INIS)

    Eliazar, Iddo I; Cohen, Morrel H

    2013-01-01

    The sciences are abundant with size distributions whose densities have a unimodal shape and power-law tails both at zero and at infinity. The quintessential examples of such unimodal and power-law (UPL) distributions are the sizes of income and wealth in human societies. While the tails of UPL distributions are precisely quantified by their corresponding power-law exponents, their bulks are only qualitatively characterized as unimodal. Consequently, different statistical models of UPL distributions exist, the most popular considering lognormal bulks. In this paper we present a general econophysical framework for UPL distributions termed ‘the anchoring method’. This method: (i) universally approximates UPL distributions via three ‘anchors’ set at zero, at infinity, and at an intermediate point between zero and infinity (e.g. the mode); (ii) is highly versatile and broadly applicable; (iii) encompasses the existing statistical models of UPL distributions as special cases; (iv) facilitates the introduction of new statistical models of UPL distributions and (v) yields a socioeconophysical analysis of UPL distributions. (paper)

  18. Mobile Channels for Exogenous Coordination of Distributed Systems: Semantics, Implementation and Composition

    NARCIS (Netherlands)

    J.V. Guillen Scholten (Juan)

    2007-01-01

    htmlabstractIn the last years, there has been a growing interest for distributed systems both in computer science and in society. The most popular and biggest distributed system in the world is the Internet. A distributed system is a collection of independent computers that appears to its users

  19. Using and Distributing Spaceflight Data: The Johnson Space Center Life Sciences Data Archive

    Science.gov (United States)

    Cardenas, J. A.; Buckey, J. C.; Turner, J. N.; White, T. S.; Havelka,J. A.

    1995-01-01

    Life sciences data collected before, during and after spaceflight are valuable and often irreplaceable. The Johnson Space Center Life is hard to find, and much of the data (e.g. Sciences Data Archive has been designed to provide researchers, engineers, managers and educators interactive access to information about and data from human spaceflight experiments. The archive system consists of a Data Acquisition System, Database Management System, CD-ROM Mastering System and Catalog Information System (CIS). The catalog information system is the heart of the archive. The CIS provides detailed experiment descriptions (both written and as QuickTime movies), hardware descriptions, hardware images, documents, and data. An initial evaluation of the archive at a scientific meeting showed that 88% of those who evaluated the catalog want to use the system when completed. The majority of the evaluators found the archive flexible, satisfying and easy to use. We conclude that the data archive effectively provides key life sciences data to interested users.

  20. A strategic vision for the Eart Sciences

    Institute of Scientific and Technical Information of China (English)

    W.Cavazza; F.P.Sassi

    2004-01-01

    The following article sets forth the conceptual strategic framework that guided the organization and planning of the recent, highly successful 32nd International Geological Congress, held in Florence, Italy, August 20-28, 2004. This vision of the desired future state of the Earth sciences is presented here in order to extend significantly its distribution beyond the 7000+ Congress participants. Earth scientists around the worm are encouraged to consider, digest, and discuss its observations, conclusions, and recommendations to improve the relevance and sharpen the focus of current and future activities in the Earth sciences. [Originally published in the daily newspaper of the Congress, ""32nd IGC INFORMS,"" No. 9, August 28, 2004, and distributed to Congress participants. Available also on the lUGS website.

  1. Finnish Society of Soil Sciences

    Science.gov (United States)

    Rankinen, Katri; Hänninen, Pekka; Soinne, Helena; Leppälammi-Kujansuu, Jaana; Salo, Tapio; Pennanen, Taina

    2017-04-01

    In 1998 the organization of the International Union of Soil Sciences (IUSS) was renewed to better support national activities. That was also the new start in the operation of the Finnish Society of Soil Sciences, which became affiliated to the IUSS. The society was originally established in 1971 but it remained relatively inactive. Currently, there are around 200 members in the Finnish Society of Soil Sciences. The members of the executive board cover different fields of soil science from geology to microbiology. Mission statement of the society is to promote the soil sciences and their application in Finland, to act as a forum for creation of better links between soil scientists, interested end users and the public, and to promote distribution and appreciation of general and Finnish research findings in soil science. Every second year the society organizes a national two-day long conference. In 2017 the theme 'circular economy' collected all together 57 presentations. The members of the incoming student division carried responsibility in practical co-ordination committee, acting also as session chairs. In the intervening years the society organizes a weekend excursion to neighboring areas. Lately we have explored the use of biochar in landscaping of Stockholm.

  2. Normal and student´s t distributions and their applications

    CERN Document Server

    Ahsanullah, Mohammad; Shakil, Mohammad

    2014-01-01

    The most important properties of normal and Student t-distributions are presented. A number of applications of these properties are demonstrated. New related results dealing with the distributions of the sum, product and ratio of the independent normal and Student distributions are presented. The materials will be useful to the advanced undergraduate and graduate students and practitioners in the various fields of science and engineering.

  3. Non-Determinism: An Abstract Concept in Computer Science Studies

    Science.gov (United States)

    Armoni, Michal; Gal-Ezer, Judith

    2007-01-01

    Non-determinism is one of the most important, yet abstract, recurring concepts of Computer Science. It plays an important role in Computer Science areas such as formal language theory, computability theory, distributed computing, and operating systems. We conducted a series of studies on the perception of non-determinism. In the current research,…

  4. Mobile channels for exogenous coordination of distributed systems : semantics, implementation and composition.

    NARCIS (Netherlands)

    Guillen Scholten, Juan Visente

    2007-01-01

    In the last years, there has been a growing interest for distributed systems both in computer science and in society. The most popular and biggest distributed system in the world is the Internet. A distributed system is a collection of independent computers that appears to its users as a single

  5. Science Education in Egypt and Other Arab Countries in Africa and West Asia.

    Science.gov (United States)

    Hassan, Farkhonda

    1997-01-01

    Examines science education in Egypt and the Arab states, focusing on the status of science and technology at the pre-university level and higher education, the science and technology structural component in the higher education system, student enrollment at the B.S. level, distribution of B.S degrees by sex, science and technology graduates, M.S.…

  6. Distribution, abundance and ecology of the sponge Spheciospongia ...

    African Journals Online (AJOL)

    Western Indian Ocean Journal of Marine Science ... Journal Home > Vol 12, No 1 (2013) > ... Distribution, abundance and ecology of the sponge Spheciospongia vagabunda (Phylum: Porifera, Class: Demospongiae) in a shallow lagoon of ...

  7. Earth Science Informatics Community Requirements for Improving Sustainable Science Software Practices: User Perspectives and Implications for Organizational Action

    Science.gov (United States)

    Downs, R. R.; Lenhardt, W. C.; Robinson, E.

    2014-12-01

    Science software is integral to the scientific process and must be developed and managed in a sustainable manner to ensure future access to scientific data and related resources. Organizations that are part of the scientific enterprise, as well as members of the scientific community who work within these entities, can contribute to the sustainability of science software and to practices that improve scientific community capabilities for science software sustainability. As science becomes increasingly digital and therefore, dependent on software, improving community practices for sustainable science software will contribute to the sustainability of science. Members of the Earth science informatics community, including scientific data producers and distributers, end-user scientists, system and application developers, and data center managers, use science software regularly and face the challenges and the opportunities that science software presents for the sustainability of science. To gain insight on practices needed for the sustainability of science software from the science software experiences of the Earth science informatics community, an interdisciplinary group of 300 community members were asked to engage in simultaneous roundtable discussions and report on their answers to questions about the requirements for improving scientific software sustainability. This paper will present an analysis of the issues reported and the conclusions offered by the participants. These results provide perspectives for science software sustainability practices and have implications for actions that organizations and their leadership can initiate to improve the sustainability of science software.

  8. When citizens and scientists work together : a french collaborative science network on earthworms communities distribution

    Science.gov (United States)

    Guernion, Muriel; Hoeffner, Kevin; Guillocheau, Sarah; Hotte, Hoël; Cylly, Daniel; Piron, Denis; Cluzeau, Daniel; Hervé, Morgane; Nicolai, Annegret; Pérès, Guénola

    2017-04-01

    Scientists have become more and more interested in earthworms because of their impact on soil functioning and their importance in provision of many ecosystem services. To improve the knowledge on soil biodiversity and integrate earthworms in soil quality diagnostics, it appeared necessary to gain a large amount of data on their distribution. The University of Rennes 1 developed since 2011 a collaborative science project called Observatoire Participatif des Vers de Terre (OPVT, participative earthworm observatory). It has several purposes : i) to offer a simple tool for soil biodiversity evaluation in natural and anthropic soils through earthworm assessment, ii) to offer trainings to farmers, territory managers, gardeners, pupils on soil ecology, iii) to build a database of reference values on earthworms in different habitats, iv) to propose a website (https://ecobiosoil.univ-rennes1.fr/OPVT_accueil.php) providing for example general scientific background (earthworm ecology and impacts of soil management), sampling protocols and online visualization of results (data processing and earthworms mapping). Up to now, more than 5000 plots have been prospected since the opening of the project in 2011., Initially available to anyone on a voluntary basis, this project is also used by the French Ministry of Agriculture to carry out a scientific survey throughout the French territory.

  9. Bulletin of Materials Science | News

    Indian Academy of Sciences (India)

    Home; Journals; Bulletin of Materials Science; Volume 25; Issue 4 ... were synthesized by self-propagating high temperature synthesis (SHS) method. ... Structure determination at room temperature and phase transition studies above T c in .... Hyperfine field distributions in disordered Mn2CoSn and Mn2NiSn Heusler alloys.

  10. Introductory statistics for the behavioral sciences

    CERN Document Server

    Welkowitz, Joan; Cohen, Jacob

    1971-01-01

    Introductory Statistics for the Behavioral Sciences provides an introduction to statistical concepts and principles. This book emphasizes the robustness of parametric procedures wherein such significant tests as t and F yield accurate results even if such assumptions as equal population variances and normal population distributions are not well met.Organized into three parts encompassing 16 chapters, this book begins with an overview of the rationale upon which much of behavioral science research is based, namely, drawing inferences about a population based on data obtained from a samp

  11. Traversal-time distribution for a classical time-modulated barrier

    International Nuclear Information System (INIS)

    Mateos, J.L.

    1999-01-01

    The classical problem of a time-modulated barrier, inspired by the Buettiker and Landauer model to study the tunneling times, is analyzed. We show that the traversal-time distribution of an ensemble of non-interacting particles that arrives at the oscillating barrier, obeys a distribution with a power-law tail. (Copyright (c) 1999 Elsevier Science B.V., Amsterdam. All rights reserved.)

  12. Social Science Collaboration with Environmental Health.

    Science.gov (United States)

    Hoover, Elizabeth; Renauld, Mia; Edelstein, Michael R; Brown, Phil

    2015-11-01

    Social science research has been central in documenting and analyzing community discovery of environmental exposure and consequential processes. Collaboration with environmental health science through team projects has advanced and improved our understanding of environmental health and justice. We sought to identify diverse methods and topics in which social scientists have expanded environmental health understandings at multiple levels, to examine how transdisciplinary environmental health research fosters better science, and to learn how these partnerships have been able to flourish because of the support from National Institute of Environmental Health Sciences (NIEHS). We analyzed various types of social science research to investigate how social science contributes to environmental health. We also examined NIEHS programs that foster social science. In addition, we developed a case study of a community-based participation research project in Akwesasne in order to demonstrate how social science has enhanced environmental health science. Social science has informed environmental health science through ethnographic studies of contaminated communities, analysis of spatial distribution of environmental injustice, psychological experience of contamination, social construction of risk and risk perception, and social impacts of disasters. Social science-environmental health team science has altered the way scientists traditionally explore exposure by pressing for cumulative exposure approaches and providing research data for policy applications. A transdisciplinary approach for environmental health practice has emerged that engages the social sciences to paint a full picture of the consequences of contamination so that policy makers, regulators, public health officials, and other stakeholders can better ameliorate impacts and prevent future exposure. Hoover E, Renauld M, Edelstein MR, Brown P. 2015. Social science collaboration with environmental health. Environ Health

  13. The ATLAS Distributed Analysis System

    CERN Document Server

    Legger, F; The ATLAS collaboration; Pacheco Pages, A; Stradling, A

    2013-01-01

    In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS Distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high but steadily improving; grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters ...

  14. The ATLAS Distributed Analysis System

    CERN Document Server

    Legger, F; The ATLAS collaboration

    2014-01-01

    In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS Distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high but steadily improving; grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters ...

  15. Distributed Systems: The Hard Problems

    CERN Multimedia

    CERN. Geneva

    2015-01-01

    **Nicholas Bellerophon** works as a client services engineer at Basho Technologies, helping customers setup and run distributed systems at scale in the wild. He has also worked in massively multiplayer games, and recently completed a live scalable simulation engine. He is an avid TED-watcher with interests in many areas of the arts, science, and engineering, including of course high-energy physics.

  16. Information Science: Science or Social Science?

    OpenAIRE

    Sreeramana Aithal; Paul P.K.,; Bhuimali A.

    2017-01-01

    Collection, selection, processing, management, and dissemination of information are the main and ultimate role of Information Science and similar studies such as Information Studies, Information Management, Library Science, and Communication Science and so on. However, Information Science deals with some different characteristics than these subjects. Information Science is most interdisciplinary Science combines with so many knowledge clusters and domains. Information Science is a broad disci...

  17. NASA's Earth Science Data Systems - Lessons Learned and Future Directions

    Science.gov (United States)

    Ramapriyan, Hampapuram K.

    2010-01-01

    In order to meet the increasing demand for Earth Science data, NASA has significantly improved the Earth Science Data Systems over the last two decades. This improvement is reviewed in this slide presentation. Many Earth Science disciplines have been able to access the data that is held in the Earth Observing System (EOS) Data and Information System (EOSDIS) at the Distributed Active Archive Centers (DAACs) that forms the core of the data system.

  18. A science data gateway for environmental management: A SCIENCE DATA GATEWAY FOR ENVIRONMENTAL MANAGEMENT

    Energy Technology Data Exchange (ETDEWEB)

    Agarwal, Deborah A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Faybishenko, Boris [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Freedman, Vicky L. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Krishnan, Harinarayan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Kushner, Gary [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lansing, Carina [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Porter, Ellen [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Romosan, Alexandru [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Shoshani, Arie [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wainwright, Haruko [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Weidmer, Arthur [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wu, Kesheng [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2015-10-12

    Science data gateways are effective in providing complex science data collections to the world-wide user communities. In this paper we describe a gateway for the Advanced Simulation Capability for Environmental Management (ASCEM) framework. Built on top of established web service technologies, the ASCEM data gateway is specifically designed for environmental modeling applications. Its key distinguishing features include: (1) handling of complex spatiotemporal data, (2) offering a variety of selective data access mechanisms, (3) providing state of the art plotting and visualization of spatiotemporal data records, and (4) integrating seamlessly with a distributed workflow system using a RESTful interface. ASCEM project scientists have been using this data gateway since 2011.

  19. Left-forbidding cooperating distributed grammar systems

    Czech Academy of Sciences Publication Activity Database

    Goldefus, F.; Masopust, Tomáš; Meduna, A.

    2010-01-01

    Roč. 411, 40-42 (2010), s. 3661-3667 ISSN 0304-3975 Institutional research plan: CEZ:AV0Z10190503 Keywords : cooperating distributed grammar system * cooperating derivation mode * left-forbidding grammar * generative power * descriptional complexity Subject RIV: BA - General Mathematics Impact factor: 0.838, year: 2010 http://www.sciencedirect.com/science/article/pii/S0304397510003440

  20. Collaborative technologies for distributed science: fusion energy and high-energy physics

    International Nuclear Information System (INIS)

    Schissel, D P; Gottschalk, E E; Greenwald, M J; McCune, D

    2006-01-01

    This paper outlines a strategy to significantly enhance scientific collaborations in both Fusion Energy Sciences and in High-Energy Physics through the development and deployment of new tools and technologies into working environments. This strategy is divided into two main elements, collaborative workspaces and secure computational services. Experimental and theory/computational programs will greatly benefit through the provision of a flexible, standards-based collaboration space, which includes advanced tools for ad hoc and structured communications, shared applications and displays, enhanced interactivity for remote data access applications, high performance computational services and an improved security environment. The technologies developed should be prototyped and tested on the current generation of experiments and numerical simulation projects. At the same time, such work should maintain a strong focus on the needs of the next generation of mega-projects, ITER and the ILC. Such an effort needs to leverage existing computer science technology and take full advantage of commercial software wherever possible. This paper compares the requirements of FES and HEP, discuss today's solutions, examine areas where more functionality is required, and discuss those areas with sufficient overlap in requirements that joint research into collaborative technologies will increase the benefit to both

  1. Tempered stable distributions stochastic models for multiscale processes

    CERN Document Server

    Grabchak, Michael

    2015-01-01

    This brief is concerned with tempered stable distributions and their associated Levy processes. It is a good text for researchers interested in learning about tempered stable distributions.  A tempered stable distribution is one which takes a stable distribution and modifies its tails to make them lighter. The motivation for this class comes from the fact that infinite variance stable distributions appear to provide a good fit to data in a variety of situations, but the extremely heavy tails of these models are not realistic for most real world applications. The idea of using distributions that modify the tails of stable models to make them lighter seems to have originated in the influential paper of Mantegna and Stanley (1994). Since then, these distributions have been extended and generalized in a variety of ways. They have been applied to a wide variety of areas including mathematical finance, biostatistics,computer science, and physics.

  2. The contributions of biological science to national development ...

    African Journals Online (AJOL)

    ... and prosperity, and on human physical well being in societies around the world. ... Some science questions have immediate goals, clearly directed towards ... such as TV transmission, power distribution, or computer chip manufacture.

  3. CASTOR: Widely Distributed Scalable Infospaces

    Science.gov (United States)

    2008-11-01

    Symposium on Networked System Design and Implementation (NSDI 08). San Francisco , CA. April 2008. Gossip-based Distribution Estimation in Peer-to...and S. Paul. RMTP: A reliable multicast transport protocol. In INFOCOM, pages 1414–1424, San Francisco , CA, Mar. 1996. [22] T. Montgomery, B. Whetten...Fast approx- imate reconciliation of set differences. Boston University Computer Science Technical Report 2002-019., 2002. [5] L. Camargos , F. Pedone

  4. Rank distributions: A panoramic macroscopic outlook

    Science.gov (United States)

    Eliazar, Iddo I.; Cohen, Morrel H.

    2014-01-01

    This paper presents a panoramic macroscopic outlook of rank distributions. We establish a general framework for the analysis of rank distributions, which classifies them into five macroscopic "socioeconomic" states: monarchy, oligarchy-feudalism, criticality, socialism-capitalism, and communism. Oligarchy-feudalism is shown to be characterized by discrete macroscopic rank distributions, and socialism-capitalism is shown to be characterized by continuous macroscopic size distributions. Criticality is a transition state between oligarchy-feudalism and socialism-capitalism, which can manifest allometric scaling with multifractal spectra. Monarchy and communism are extreme forms of oligarchy-feudalism and socialism-capitalism, respectively, in which the intrinsic randomness vanishes. The general framework is applied to three different models of rank distributions—top-down, bottom-up, and global—and unveils each model's macroscopic universality and versatility. The global model yields a macroscopic classification of the generalized Zipf law, an omnipresent form of rank distributions observed across the sciences. An amalgamation of the three models establishes a universal rank-distribution explanation for the macroscopic emergence of a prevalent class of continuous size distributions, ones governed by unimodal densities with both Pareto and inverse-Pareto power-law tails.

  5. Teacher-student interaction in contemporary science classrooms: is participation still a question of gender?†

    Science.gov (United States)

    Eliasson, Nina; Sørensen, Helene; Göran Karlsson, Karl

    2016-07-01

    We show that boys still have a greater access to the space for interaction in science classrooms, which is unexpected since in Sweden today girls perform better in these subjects than boys. Results from video-recorded verbal communication, referred to here as interaction, show that the distribution of teacher-student interaction in the final year of lower secondary school follows the same patterns as in the 1980s. The interaction space for all kinds of talk continues to be distributed according to the two-thirds rule for communication in science classrooms as described by previous research. We also show that the overall interaction space in science classrooms has increased for both boys and girls when talk about science alone is considered. Another finding which follows old patterns is that male teachers still address boys more often than girls. This holds true both for general talk and for talk about science. If a more even distribution of teacher-student interaction is desirable, these results once again need to be considered. More research needs to be undertaken before the association between girls' attitudes and interest in science in terms of future career choice and the opportunity to participate in teacher-student interaction is more clearly understood. Research conducted at Mid Sweden University, Department of Science Education and Mathematics.

  6. AVIRIS and TIMS data processing and distribution at the land processes distributed active archive center

    Science.gov (United States)

    Mah, G. R.; Myers, J.

    1993-01-01

    The U.S. Government has initiated the Global Change Research program, a systematic study of the Earth as a complete system. NASA's contribution of the Global Change Research Program is the Earth Observing System (EOS), a series of orbital sensor platforms and an associated data processing and distribution system. The EOS Data and Information System (EOSDIS) is the archiving, production, and distribution system for data collected by the EOS space segment and uses a multilayer architecture for processing, archiving, and distributing EOS data. The first layer consists of the spacecraft ground stations and processing facilities that receive the raw data from the orbiting platforms and then separate the data by individual sensors. The second layer consists of Distributed Active Archive Centers (DAAC) that process, distribute, and archive the sensor data. The third layer consists of a user science processing network. The EOSDIS is being developed in a phased implementation. The initial phase, Version 0, is a prototype of the operational system. Version 0 activities are based upon existing systems and are designed to provide an EOSDIS-like capability for information management and distribution. An important science support task is the creation of simulated data sets for EOS instruments from precursor aircraft or satellite data. The Land Processes DAAC, at the EROS Data Center (EDC), is responsible for archiving and processing EOS precursor data from airborne instruments such as the Thermal Infrared Multispectral Scanner (TIMS), the Thematic Mapper Simulator (TMS), and Airborne Visible and Infrared Imaging Spectrometer (AVIRIS). AVIRIS, TIMS, and TMS are flown by the NASA-Ames Research Center ARC) on an ER-2. The ER-2 flies at 65000 feet and can carry up to three sensors simultaneously. Most jointly collected data sets are somewhat boresighted and roughly registered. The instrument data are being used to construct data sets that simulate the spectral and spatial

  7. iBiology: communicating the process of science.

    Science.gov (United States)

    Goodwin, Sarah S

    2014-08-01

    The Internet hosts an abundance of science video resources aimed at communicating scientific knowledge, including webinars, massive open online courses, and TED talks. Although these videos are efficient at disseminating information for diverse types of users, they often do not demonstrate the process of doing science, the excitement of scientific discovery, or how new scientific knowledge is developed. iBiology (www.ibiology.org), a project that creates open-access science videos about biology research and science-related topics, seeks to fill this need by producing videos by science leaders that make their ideas, stories, and experiences available to anyone with an Internet connection. © 2014 Goodwin. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  8. So you want to be a science writer.

    Science.gov (United States)

    Fleischman, John; Szalinski, Christina

    2014-07-01

    The Internet destroyed the ecology of traditional science journalism, drying up ad revenues and pushing "old school" mass media toward extinction. But the new technology opened a wider landscape for digital science writers, online "content curators," and scientists to chronicle the wonders and worries of modern science. For those thinking of a career in science writing, here is a flash history, a quick overview, some advice, and a few cautions. © 2014 Fleischman and Szalinski. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  9. The Multivariate Generalised von Mises Distribution: Inference and Applications

    DEFF Research Database (Denmark)

    Navarro, Alexandre Khae Wu; Frellsen, Jes; Turner, Richard

    2017-01-01

    Circular variables arise in a multitude of data-modelling contexts ranging from robotics to the social sciences, but they have been largely overlooked by the machine learning community. This paper partially redresses this imbalance by extending some standard probabilistic modelling tools to the c......Circular variables arise in a multitude of data-modelling contexts ranging from robotics to the social sciences, but they have been largely overlooked by the machine learning community. This paper partially redresses this imbalance by extending some standard probabilistic modelling tools....... These models can leverage standard modelling tools (e.g. kernel functions and automatic relevance determination). Third, we show that the posterior distribution in these models is a mGvM distribution which enables development of an efficient variational free-energy scheme for performing approximate inference...... and approximate maximum-likelihood learning....

  10. [Information flow between medical and social sciences].

    Science.gov (United States)

    Schubert, András; Somogyi, Anikó

    2014-12-28

    In order to reveal impacts of natural and social sciences on each other, the authors examined connections between fields of medical and social sciences using a search for references and citations of scientific publication. 1. The largest affinity between the medical and social sciences was found between neurosciences and psychology, but there was a significant affinity between clinical sciences and general social sciences, as well. 2. The example of General & Internal Medicine papers in the topics of "diabetes" suggests that in the period 2001-2010 the share of references to social sciences was significantly increased. In the meantime, social science papers in the same topics contained references to Clinical Medicine papers in a constantly high percentage. 3. In the sample under study, the age distribution of social science papers in the references did not differ significantly from that of the other sources. 4. Share of references to social science papers was found to be extremely high among Hungarian General & Internal Medicine papers in the topics of "diabetes". This finding still requires clarification, nevertheless, since e.g. it was not supported by an institutional comparison including the largest Hungarian medical research university. 5. The intensity of the reference/citation mediated information flows between the Hungarian Medical Journal, Orvosi Hetilap and social sciences appears to be in accordance with the current international trends.

  11. Distributed Leadership with the Aim of "Reculturing": A Departmental Case Study

    Science.gov (United States)

    Melville, Wayne; Jones, Doug; Campbell, Todd

    2014-01-01

    This article considers a secondary science department that has, since 2000, developed distributed leadership as a form of human capacity building. Using a longitudinal ethnographic case study allowed us to consider how distributed leadership can be nurtured and developed in a department. Our analysis centres on two key issues: the nature and…

  12. Collaborative Technologies for Distributed Science - Fusion Energy and High-Energy Physics

    International Nuclear Information System (INIS)

    Schissel, D.P.; Abla, G.; Burruss, J.R.; Gottschalk, E.

    2006-01-01

    The large-scale experiments, needed for fusion energy sciences (FES) and high-energy physics (HEP) research, are staffed by correspondingly large, geographically dispersed teams. At the same time, theoretical work has come to rely increasingly on complex numerical simulations developed by distributed teams of scientists and applied mathematicians and run on massively parallel computers. These trends will only accelerate. Operation of the most powerful accelerator ever built, the Large Hadron Collider at CERN, will begin next year and will dominate experimental high-energy physics. The fusion program will be increasingly oriented toward the ITER where even now, a decade before operation begins, a large portion of national programs efforts are organized around coordinated efforts to develop promising operational scenarios. While both FES and HEP have a significant track record for developing and exploiting remote collaborations, with such large investments at stake, there is a clear need to improve the integration and reach of the tools available. These challenges are being addressed by the creation and deployment of advanced collaborative software and hardware tools. Grid computing, to provide secure on-demand access to data analysis capabilities and related functions, is being deployed as an alternative to traditional resource sharing among institutions. Utilizing public-key based security that is recognized worldwide, numerous analysis and simulation codes are securely available worldwide in a service-oriented approach. Traditional audio teleconferencing is being augmented by more advanced capabilities including videoconferencing, instant messaging, presentation sharing, applications sharing, large display walls, and the virtual-presence capabilities of Access Grid and VRVS. With these advances, remote real-time experimental participation has begun as well as remote seminars, working meetings, and design review meetings. Work continues to focus on reducing the

  13. Benford's Distribution in Extrasolar World: Do the Exoplanets Follow ...

    Indian Academy of Sciences (India)

    2Indian Institute of Science Education and Research, Mohali 140 306, India. ∗. Corresponding .... present work. 2. Method. To calculate Benford's distribution for a given data- ..... Busta, B., Sundheim, R. 1992, Center for Business Research.

  14. Unidata Internet Data Distribution (IDD) and THematic Real-time Environmental Distributed Data Services (THREDDS)

    Science.gov (United States)

    Domenico, B.

    2001-12-01

    Universities across the nation are transforming their teaching and research efforts through increased use of a rapidly expanding menu of environmental data. With funding from the Division of Atmospheric Sciences (ATM ) of the National Science Foundation (NSF), the Unidata Program is playing a central role in this transformation by enabling universities to employ innovative computing and networking technologies to acquire such data sets in real-time and use them routinely in their classrooms and research labs. Working with the Unidata Program Center (UPC), the Unidata community, comprising over 140 departments, has built a national Internet Data Distribution (IDD ) system. The IDD allows users to "subscribe" to certain sets of data products; IDD servers then deliver the requested data to their local servers as soon as they are available from the source. With the initial national implementation in 1994, the IDD may have been the original example of Internet "push" technology. It now provides the reliability, flexibility, and efficiency required by participating institutions. As the underlying Internet technology evolves, we anticipate dramatic increases in the volume of data delivered. We plan to augment the system to better serve disciplines outside the atmospheric sciences and to incorporate anticipated new networking technologies to minimize the impact of the IDD on the underlying network. Unidata has recently undertaken a new initiative called THREDDS (THematic Real-time Environmental Distributed Data Services) under a grant from the NSF Division of Undergraduate Education NSDL (National Science, Math, Engineering, Technology Education Digital Library). The goal of THREDDs is to make it possible for students, educators and researchers to publish, contribute, find, and interact with data relating to the Earth system in a convenient, effective, and integrated fashion. Just as the World Wide Web and digital-library technologies have simplified the process of

  15. The Spotting Distribution of Wildfires

    Directory of Open Access Journals (Sweden)

    Jonathan Martin

    2016-06-01

    Full Text Available In wildfire science, spotting refers to non-local creation of new fires, due to downwind ignition of brands launched from a primary fire. Spotting is often mentioned as being one of the most difficult problems for wildfire management, because of its unpredictable nature. Since spotting is a stochastic process, it makes sense to talk about a probability distribution for spotting, which we call the spotting distribution. Given a location ahead of the fire front, we would like to know how likely is it to observe a spot fire at that location in the next few minutes. The aim of this paper is to introduce a detailed procedure to find the spotting distribution. Most prior modelling has focused on the maximum spotting distance, or on physical subprocesses. We will use mathematical modelling, which is based on detailed physical processes, to derive a spotting distribution. We discuss the use and measurement of this spotting distribution in fire spread, fire management and fire breaching. The appendix of this paper contains a comprehensive review of the relevant underlying physical sub-processes of fire plumes, launching fire brands, wind transport, falling and terminal velocity, combustion during transport, and ignition upon landing.

  16. NASA'S Earth Science Data Stewardship Activities

    Science.gov (United States)

    Lowe, Dawn R.; Murphy, Kevin J.; Ramapriyan, Hampapuram

    2015-01-01

    NASA has been collecting Earth observation data for over 50 years using instruments on board satellites, aircraft and ground-based systems. With the inception of the Earth Observing System (EOS) Program in 1990, NASA established the Earth Science Data and Information System (ESDIS) Project and initiated development of the Earth Observing System Data and Information System (EOSDIS). A set of Distributed Active Archive Centers (DAACs) was established at locations based on science discipline expertise. Today, EOSDIS consists of 12 DAACs and 12 Science Investigator-led Processing Systems (SIPS), processing data from the EOS missions, as well as the Suomi National Polar Orbiting Partnership mission, and other satellite and airborne missions. The DAACs archive and distribute the vast majority of data from NASA’s Earth science missions, with data holdings exceeding 12 petabytes The data held by EOSDIS are available to all users consistent with NASA’s free and open data policy, which has been in effect since 1990. The EOSDIS archives consist of raw instrument data counts (level 0 data), as well as higher level standard products (e.g., geophysical parameters, products mapped to standard spatio-temporal grids, results of Earth system models using multi-instrument observations, and long time series of Earth System Data Records resulting from multiple satellite observations of a given type of phenomenon). EOSDIS data stewardship responsibilities include ensuring that the data and information content are reliable, of high quality, easily accessible, and usable for as long as they are considered to be of value.

  17. Space Science Cloud: a Virtual Space Science Research Platform Based on Cloud Model

    Science.gov (United States)

    Hu, Xiaoyan; Tong, Jizhou; Zou, Ziming

    Through independent and co-operational science missions, Strategic Pioneer Program (SPP) on Space Science, the new initiative of space science program in China which was approved by CAS and implemented by National Space Science Center (NSSC), dedicates to seek new discoveries and new breakthroughs in space science, thus deepen the understanding of universe and planet earth. In the framework of this program, in order to support the operations of space science missions and satisfy the demand of related research activities for e-Science, NSSC is developing a virtual space science research platform based on cloud model, namely the Space Science Cloud (SSC). In order to support mission demonstration, SSC integrates interactive satellite orbit design tool, satellite structure and payloads layout design tool, payload observation coverage analysis tool, etc., to help scientists analyze and verify space science mission designs. Another important function of SSC is supporting the mission operations, which runs through the space satellite data pipelines. Mission operators can acquire and process observation data, then distribute the data products to other systems or issue the data and archives with the services of SSC. In addition, SSC provides useful data, tools and models for space researchers. Several databases in the field of space science are integrated and an efficient retrieve system is developing. Common tools for data visualization, deep processing (e.g., smoothing and filtering tools), analysis (e.g., FFT analysis tool and minimum variance analysis tool) and mining (e.g., proton event correlation analysis tool) are also integrated to help the researchers to better utilize the data. The space weather models on SSC include magnetic storm forecast model, multi-station middle and upper atmospheric climate model, solar energetic particle propagation model and so on. All the services above-mentioned are based on the e-Science infrastructures of CAS e.g. cloud storage and

  18. A study on the distribution of adsorbed nanoparticles

    Science.gov (United States)

    Li, Ding

    2008-02-01

    We use Monte Carlo simulation to calculate the distributions of particles under adsorption force near planar and cylindrical surfaces, respectively. Both hard sphere interaction and repulsive Yukawa (screened coulomb) interaction are employed in our simulations. We study the influence of the inter-particle potentials. The difference between the MC simulation results and the analytical results of ideal gas model shows that the interaction between particles plays an important role in the density distribution under external fields. Moreover, the 2-dimensional constructions of particles close to the surface are studied and show relations of the interaction between particles. These results may indicate us how to improve the methods of building nanoparticle coatings and nano-scale patterns. Supported by 100 Persons Project of Chinese Academy of Sciences, National Natural Science Foundation of China (10474109, 10674146) and Major State Research Development Programme of China (2006CB933000, 2006CB708612)

  19. NASA's Earth Science Flight Program Meets the Challenges of Today and Tomorrow

    Science.gov (United States)

    Ianson, Eric E.

    2016-01-01

    NASA's Earth science flight program is a dynamic undertaking that consists of a large fleet of operating satellites, an array of satellite and instrument projects in various stages of development, a robust airborne science program, and a massive data archiving and distribution system. Each element of the flight program is complex and present unique challenges. NASA builds upon its successes and learns from its setbacks to manage this evolving portfolio to meet NASA's Earth science objectives. NASA fleet of 16 operating missions provide a wide range of scientific measurements made from dedicated Earth science satellites and from instruments mounted to the International Space Station. For operational missions, the program must address issues such as an aging satellites operating well beyond their prime mission, constellation flying, and collision avoidance with other spacecraft and orbital debris. Projects in development are divided into two broad categories: systematic missions and pathfinders. The Earth Systematic Missions (ESM) include a broad range of multi-disciplinary Earth-observing research satellite missions aimed at understanding the Earth system and its response to natural and human-induced forces and changes. Understanding these forces will help determine how to predict future changes, and how to mitigate or adapt to these changes. The Earth System Science Pathfinder (ESSP) program provides frequent, regular, competitively selected Earth science research opportunities that accommodate new and emerging scientific priorities and measurement capabilities. This results in a series of relatively low-cost, small-sized investigations and missions. Principal investigators whose scientific objectives support a variety of studies lead these missions, including studies of the atmosphere, oceans, land surface, polar ice regions, or solid Earth. This portfolio of missions and investigations provides opportunity for investment in innovative Earth science that enhances

  20. Parallel Distributed Processing Theory in the Age of Deep Networks.

    Science.gov (United States)

    Bowers, Jeffrey S

    2017-12-01

    Parallel distributed processing (PDP) models in psychology are the precursors of deep networks used in computer science. However, only PDP models are associated with two core psychological claims, namely that all knowledge is coded in a distributed format and cognition is mediated by non-symbolic computations. These claims have long been debated in cognitive science, and recent work with deep networks speaks to this debate. Specifically, single-unit recordings show that deep networks learn units that respond selectively to meaningful categories, and researchers are finding that deep networks need to be supplemented with symbolic systems to perform some tasks. Given the close links between PDP and deep networks, it is surprising that research with deep networks is challenging PDP theory. Copyright © 2017. Published by Elsevier Ltd.

  1. Sustaining and Extending the Open Science Grid: Science Innovation on a PetaScale Nationwide Facility (DE-FC02-06ER41436) SciDAC-2 Closeout Report

    Energy Technology Data Exchange (ETDEWEB)

    Livny, Miron [Univ. of Wisconsin, Madison, WI (United States); Shank, James [Boston Univ., MA (United States); Ernst, Michael [Brookhaven National Lab. (BNL), Upton, NY (United States); Blackburn, Kent [California Inst. of Technology (CalTech), Pasadena, CA (United States); Goasguen, Sebastien [Clemson Univ., SC (United States); Tuts, Michael [Columbia Univ., New York, NY (United States); Gibbons, Lawrence [Cornell Univ., Ithaca, NY (United States); Pordes, Ruth [Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Sliz, Piotr [Harvard Medical School, Boston, MA (United States); Deelman, Ewa [Univ. of Southern California, Los Angeles, CA (United States). Information Sciences Inst.; Barnett, William [Indiana Univ., Bloomington, IN (United States); Olson, Doug [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); McGee, John [Univ. of North Carolina, Chapel Hill, NC (United States). Renaissance Computing Inst.; Cowles, Robert [SLAC National Accelerator Lab., Menlo Park, CA (United States); Wuerthwein, Frank [Univ. of California, San Diego, CA (United States); Gardner, Robert [Univ. of Chicago, IL (United States); Avery, Paul [Univ. of Florida, Gainesville, FL (United States); Wang, Shaowen [Univ. of Illinois, Champaign, IL (United States); Univ. of Iowa, Iowa City, IA (United States); Lincoln, David Swanson [Univ. of Nebraska, Lincoln, NE (United States)

    2015-02-11

    Under this SciDAC-2 grant the project’s goal w a s t o stimulate new discoveries by providing scientists with effective and dependable access to an unprecedented national distributed computational facility: the Open Science Grid (OSG). We proposed to achieve this through the work of the Open Science Grid Consortium: a unique hands-on multi-disciplinary collaboration of scientists, software developers and providers of computing resources. Together the stakeholders in this consortium sustain and use a shared distributed computing environment that transforms simulation and experimental science in the US. The OSG consortium is an open collaboration that actively engages new research communities. We operate an open facility that brings together a broad spectrum of compute, storage, and networking resources and interfaces to other cyberinfrastructures, including the US XSEDE (previously TeraGrid), the European Grids for ESciencE (EGEE), as well as campus and regional grids. We leverage middleware provided by computer science groups, facility IT support organizations, and computing programs of application communities for the benefit of consortium members and the US national CI.

  2. Modern Meteor Science An Interdisciplinary View

    CERN Document Server

    Hawkes, Robert; Brown, Peter

    2005-01-01

    This volume represents a blend of leading edge research and authoritative reviews in meteor science. It provides a comprehensive view of meteoroid research including the dynamics, sources and distribution of these bodies, and their chemistry and physical processes in the interplanetary medium and the Earth’s atmosphere. Techniques for investigation of meteor phenomena in the book include conventional and large aperture radar systems, spacecraft detection, optical systems, spectral measurements, and laboratory based interplanetary dust particle studies. The book will be of interest to researchers and students in astronomy, astrophysics, cosmochemistry, space engineering and space science. Cover photograph was taken by Masayuki Toda.

  3. A Distributed User Information System

    Science.gov (United States)

    1990-03-01

    NOE08 Department of Computer Science NOVO 8 1990 University of Maryland S College Park, MD 20742 D Abstract Current user information database technology ...Transactions on Computer Systems, May 1988. [So189] K. Sollins. A plan for internet directory services. Technical report, DDN Network Information Center...2424 A Distributed User Information System DTiC Steven D. Miller, Scott Carson, and Leo Mark DELECTE Institute for Advanced Computer Studies and

  4. The Emirates Mars Mission Science Data Center

    Science.gov (United States)

    Craft, J.; Al Hammadi, O.; DeWolfe, A. W.; Staley, B.; Schafer, C.; Pankratz, C. K.

    2017-12-01

    The Emirates Mars Mission (EMM), led by the Mohammed Bin Rashid Space Center (MBRSC) in Dubai, United Arab Emirates, is expected to arrive at Mars in January 2021. The EMM Science Data Center (SDC) is to be developed as a joint effort between MBRSC and the University of Colorado's Laboratory for Atmospheric and Space Physics (LASP). The EMM SDC is responsible for the production, management, distribution, and archiving of science data collected from the three instruments on board the Hope spacecraft.With the respective SDC teams on opposite sides of the world evolutionary techniques and cloud-based technologies are being utilized in the development of the EMM SDC. This presentation will provide a top down view of the EMM SDC, summarizing the cloud-based technologies being implemented in the design, as well as the tools, best practices, and lessons learned for software development and management in a geographically distributed team.

  5. Data Provenance and Data Management in eScience

    CERN Document Server

    Bai, Quan; Giugni, Stephen; Williamson, Darrell; Taylor, John

    2013-01-01

    eScience allows scientific research to be carried out in highly distributed environments. The complex nature of the interactions in an eScience infrastructure, which often involves a range of instruments, data, models, applications, people and computational facilities, suggests there is a need for data provenance and data management (DPDM). The W3C Provenance Working Group defines the provenance of a resource as a “record that describes entities and processes involved in producing and delivering or otherwise influencing that resource”. It has been widely recognised that provenance is a critical issue to enable sharing, trust, authentication and reproducibility of eScience process.   Data Provenance and Data Management in eScience identifies the gaps between DPDM foundations and their practice within eScience domains including clinical trials, bioinformatics and radio astronomy. The book covers important aspects of fundamental research in DPDM including provenance representation and querying. It also expl...

  6. Augmented Reality in science education – affordances for student learning

    DEFF Research Database (Denmark)

    Nielsen, Birgitte Lund; Brandt, Harald; Swensen, Hakon

    2016-01-01

    Most extant studies examining augmented reality (AR) have focused on the technology itself. This paper presents findings addressing the issue of AR for educational purposes based on a sequential survey distributed to 35 expert science teachers, ICT designers and science education researchers from...... four countries. There was consensus among experts in relation to a focus on ‘learning before technology’, and they in particular supplemented affordances identified in literature with perspectives related to interactivity, a creator perspective and inquiry based science. Expert reflections were...

  7. Providing Health Sciences Services in a Joint-Use Distributed Learning Library System: An Organizational Case Study.

    Science.gov (United States)

    Enslow, Electra; Fricke, Suzanne; Vela, Kathryn

    2017-01-01

    The purpose of this organizational case study is to describe the complexities librarians face when serving a multi-campus institution that supports both a joint-use library and expanding health sciences academic partnerships. In a system without a centralized health science library administration, liaison librarians are identifying dispersed programs and user groups and collaborating to define their unique service and outreach needs within a larger land-grant university. Using a team-based approach, health sciences librarians are communicating to integrate research and teaching support, systems differences across dispersed campuses, and future needs of a new community-based medical program.

  8. Towards a Scalable and Adaptive Application Support Platform for Large-Scale Distributed E-Sciences in High-Performance Network Environments

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Chase Qishi [New Jersey Inst. of Technology, Newark, NJ (United States); Univ. of Memphis, TN (United States); Zhu, Michelle Mengxia [Southern Illinois Univ., Carbondale, IL (United States)

    2016-06-06

    workflows with the convenience of a few mouse clicks while hiding the implementation and technical details from end users. Particularly, we will consider two types of applications with distinct performance requirements: data-centric and service-centric applications. For data-centric applications, the main workflow task involves large-volume data generation, catalog, storage, and movement typically from supercomputers or experimental facilities to a team of geographically distributed users; while for service-centric applications, the main focus of workflow is on data archiving, preprocessing, filtering, synthesis, visualization, and other application-specific analysis. We will conduct a comprehensive comparison of existing workflow systems and choose the best suited one with open-source code, a flexible system structure, and a large user base as the starting point for our development. Based on the chosen system, we will develop and integrate new components including a black box design of computing modules, performance monitoring and prediction, and workflow optimization and reconfiguration, which are missing from existing workflow systems. A modular design for separating specification, execution, and monitoring aspects will be adopted to establish a common generic infrastructure suited for a wide spectrum of science applications. We will further design and develop efficient workflow mapping and scheduling algorithms to optimize the workflow performance in terms of minimum end-to-end delay, maximum frame rate, and highest reliability. We will develop and demonstrate the SWAMP system in a local environment, the grid network, and the 100Gpbs Advanced Network Initiative (ANI) testbed. The demonstration will target scientific applications in climate modeling and high energy physics and the functions to be demonstrated include workflow deployment, execution, steering, and reconfiguration. Throughout the project period, we will work closely with the science communities in the

  9. The hidden dangers of experimenting in distributed AI

    NARCIS (Netherlands)

    Meyer, A.P.; Smit, A.; Kempen, M.; Wijngaards, N.

    2006-01-01

    Research on multi-agent systems often involves experiments, also in situations where humans interact with agents. Consequently, the field of experimental (human) sciences becomes more and more relevant. This paper clarifies how things can and often do go wrong in distributed AI experiments. We show

  10. Distributed model predictive control made easy

    CERN Document Server

    Negenborn, Rudy

    2014-01-01

    The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.   This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those ...

  11. The Historical Origins and Economic Logic of 'Open Science'

    CERN Multimedia

    CERN. Geneva

    2008-01-01

    Modern "big science" projects, such as the LHC experiments in physics that are being prepared to run at CERN, embody the distinctive ethos of cooperation and mechanisms of coordination among distributed groups of researchers that are characteristic of 'open science'. Much has been written about the institutions of open science, their supporting social norms, and their effectiveness in generating additions to the stock of reliable knowledge. But from where have these institutions and their supporting ethos come? How robust can we assume them to be in the face of the recent trends for universities and research institutes in some domains of science to seek to appropriate the benefits of new discoveries and inventions by asserting intellectual property claims? A search for the historical origins of the institutions of open science throws some new light on these issues, and the answers may offer some lessons for contemporary science and technology policy-making.

  12. European Science Notes Information Bulletin. Reports on Current European and Middle Eastern Science

    Science.gov (United States)

    1992-01-01

    I formed. interested in long-term solutions such as linking themselves to the world science community. "llcy The Labor Pool have also cxprcsscd...decay with clima - tology, including effects of changes in precipitation, The latter has several personnel during the sum- evaporation, and atmospheric...problems that may requires a massive amount of manual labor in image have occurred. Bad data segments are flagged for reduction to obtain distribution

  13. Toward a Big Data Science: A challenge of "Science Cloud"

    Science.gov (United States)

    Murata, Ken T.; Watanabe, Hidenobu

    2013-04-01

    cloud, we named as OneSpaceNet (OSN), is the first open cloud system for scientists who are going to carry out their informatics for their own science. The science cloud is not for simple uses. Many functions are expected to the science cloud; such as data standardization, data collection and crawling, large and distributed data storage system, security and reliability, database and meta-database, data stewardship, long-term data preservation, data rescue and preservation, data mining, parallel processing, data publication and provision, semantic web, 3D and 4D visualization, out-reach and in-reach, and capacity buildings. Figure (not shown here) is a schematic picture of the NICT science cloud. Both types of data from observation and simulation are stored in the storage system in the science cloud. It should be noted that there are two types of data in observation. One is from archive site out of the cloud: this is a data to be downloaded through the Internet to the cloud. The other one is data from the equipment directly connected to the science cloud. They are often called as sensor clouds. In the present talk, we first introduce the NICT science cloud. We next demonstrate the efficiency of the science cloud, showing several scientific results which we achieved with this cloud system. Through the discussions and demonstrations, the potential performance of sciences cloud will be revealed for any research fields.

  14. The Unstructured Data Sharing System for Natural resources and Environment Science Data of the Chinese Academy of Science

    Directory of Open Access Journals (Sweden)

    Dafang Zhuang

    2007-10-01

    Full Text Available The data sharing system for resource and environment science databases of the Chinese Academy of Science (CAS is of an open three-tiered architecture, which integrates the geographical databases of about 9 institutes of CAS by the mechanism of distributive unstructured data management, metadata integration, catalogue services, and security control. The data tiers consist of several distributive data servers that are located in each CAS institute and support such unstructured data formats as vector files, remote sensing images or other raster files, documents, multi-media files, tables, and other format files. For the spatial data files, format transformation service is provided. The middle tier involves a centralized metadata server, which stores metadata records of data on all data servers. The primary function of this tier is catalog service, supporting the creation, search, browsing, updating, and deletion of catalogs. The client tier involves an integrated client that provides the end-users interfaces to search, browse, and download data or create a catalog and upload data.

  15. Space and Earth Science Data Compression Workshop

    Science.gov (United States)

    Tilton, James C. (Editor)

    1991-01-01

    The workshop explored opportunities for data compression to enhance the collection and analysis of space and Earth science data. The focus was on scientists' data requirements, as well as constraints imposed by the data collection, transmission, distribution, and archival systems. The workshop consisted of several invited papers; two described information systems for space and Earth science data, four depicted analysis scenarios for extracting information of scientific interest from data collected by Earth orbiting and deep space platforms, and a final one was a general tutorial on image data compression.

  16. Computer Science Research at Langley

    Science.gov (United States)

    Voigt, S. J. (Editor)

    1982-01-01

    A workshop was held at Langley Research Center, November 2-5, 1981, to highlight ongoing computer science research at Langley and to identify additional areas of research based upon the computer user requirements. A panel discussion was held in each of nine application areas, and these are summarized in the proceedings. Slides presented by the invited speakers are also included. A survey of scientific, business, data reduction, and microprocessor computer users helped identify areas of focus for the workshop. Several areas of computer science which are of most concern to the Langley computer users were identified during the workshop discussions. These include graphics, distributed processing, programmer support systems and tools, database management, and numerical methods.

  17. On the generation of log-Levy distributions and extreme randomness

    International Nuclear Information System (INIS)

    Eliazar, Iddo; Klafter, Joseph

    2011-01-01

    The log-normal distribution is prevalent across the sciences, as it emerges from the combination of multiplicative processes and the central limit theorem (CLT). The CLT, beyond yielding the normal distribution, also yields the class of Levy distributions. The log-Levy distributions are the Levy counterparts of the log-normal distribution, they appear in the context of ultraslow diffusion processes, and they are categorized by Mandelbrot as belonging to the class of extreme randomness. In this paper, we present a natural stochastic growth model from which both the log-normal distribution and the log-Levy distributions emerge universally-the former in the case of deterministic underlying setting, and the latter in the case of stochastic underlying setting. In particular, we establish a stochastic growth model which universally generates Mandelbrot's extreme randomness. (paper)

  18. A consideration on issues of the science education in Japan

    International Nuclear Information System (INIS)

    Arima, Akito

    1999-01-01

    The paper discusses the features of the science education of Japan based on the international data on the science achievement test scores of the school children. Furthermore, the paper introduces the world inquiry surveys on the scientific knowledge of ordinary adults, which is shown by the National Science Foundation, USA. The author will give what the science education of Japan should be in future. The 14 years-age middle school pupils of Japan had gotten the higher scores of science and mathematics achievement tests among the world, i.e. they had been between the first and the third positions in the three time tests from 1964 to 1995. The Japanese showed the extremely narrow distribution of the score. On the other hand, the Singapore and the USA showed the wide spread distributions. Another point of the Japanese pupils was weak capability to put their knowledge to practical use. They knew well that carbon dioxide came out from burning of carbon. However, few knew why carbon dioxide extinguished the fires. The NSF of USA had done the inquiry survey for the ordinary adults' knowledge on molecule, DNA, radiation, radioactivity and so on. In this case the Japanese were almost in the worst group. It is recommended that the education in the real life practice in the natural world should give more emphasis in the science education rather than studies on the papers in Japan. (Y. Tanaka)

  19. A two-component generalized extreme value distribution for precipitation frequency analysis

    Czech Academy of Sciences Publication Activity Database

    Rulfová, Zuzana; Buishand, A.; Roth, M.; Kyselý, Jan

    2016-01-01

    Roč. 534, March (2016), s. 659-668 ISSN 0022-1694 R&D Projects: GA ČR(CZ) GA14-18675S Institutional support: RVO:68378289 Keywords : precipitation extremes * two-component extreme value distribution * regional frequency analysis * convective precipitation * stratiform precipitation * Central Europe Subject RIV: DG - Athmosphere Sciences, Meteorology Impact factor: 3.483, year: 2016 http://www.sciencedirect.com/science/article/pii/S0022169416000500

  20. Architectures Toward Reusable Science Data Systems

    Science.gov (United States)

    Moses, John

    2015-01-01

    Science Data Systems (SDS) comprise an important class of data processing systems that support product generation from remote sensors and in-situ observations. These systems enable research into new science data products, replication of experiments and verification of results. NASA has been building systems for satellite data processing since the first Earth observing satellites launched and is continuing development of systems to support NASA science research and NOAAs Earth observing satellite operations. The basic data processing workflows and scenarios continue to be valid for remote sensor observations research as well as for the complex multi-instrument operational satellite data systems being built today. System functions such as ingest, product generation and distribution need to be configured and performed in a consistent and repeatable way with an emphasis on scalability. This paper will examine the key architectural elements of several NASA satellite data processing systems currently in operation and under development that make them suitable for scaling and reuse. Examples of architectural elements that have become attractive include virtual machine environments, standard data product formats, metadata content and file naming, workflow and job management frameworks, data acquisition, search, and distribution protocols. By highlighting key elements and implementation experience we expect to find architectures that will outlast their original application and be readily adaptable for new applications. Concepts and principles are explored that lead to sound guidance for SDS developers and strategists.

  1. Distributed-Order Dynamic Systems Stability, Simulation, Applications and Perspectives

    CERN Document Server

    Jiao, Zhuang; Podlubny, Igor

    2012-01-01

    Distributed-order differential equations, a generalization of fractional calculus, are of increasing importance in many fields of science and engineering from the behaviour of complex dielectric media to the modelling of nonlinear systems. This Brief will broaden the toolbox available to researchers interested in modeling, analysis, control and filtering. It contains contextual material outlining the progression from integer-order, through fractional-order to distributed-order systems. Stability issues are addressed with graphical and numerical results highlighting the fundamental differences between constant-, integer-, and distributed-order treatments. The power of the distributed-order model is demonstrated with work on the stability of noncommensurate-order linear time-invariant systems. Generic applications of the distributed-order operator follow: signal processing and viscoelastic damping of a mass–spring set up. A new general approach to discretization of distributed-order derivatives and integrals ...

  2. Radio-science performance analysis software

    Science.gov (United States)

    Morabito, D. D.; Asmar, S. W.

    1995-02-01

    The Radio Science Systems Group (RSSG) provides various support functions for several flight project radio-science teams. Among these support functions are uplink and sequence planning, real-time operations monitoring and support, data validation, archiving and distribution functions, and data processing and analysis. This article describes the support functions that encompass radio-science data performance analysis. The primary tool used by the RSSG to fulfill this support function is the STBLTY program set. STBLTY is used to reconstruct observable frequencies and calculate model frequencies, frequency residuals, frequency stability in terms of Allan deviation, reconstructed phase, frequency and phase power spectral density, and frequency drift rates. In the case of one-way data, using an ultrastable oscillator (USO) as a frequency reference, the program set computes the spacecraft transmitted frequency and maintains a database containing the in-flight history of the USO measurements. The program set also produces graphical displays. Some examples and discussions on operating the program set on Galileo and Ulysses data will be presented.

  3. Random distributed feedback fibre lasers

    Energy Technology Data Exchange (ETDEWEB)

    Turitsyn, Sergei K., E-mail: s.k.turitsyn@aston.ac.uk [Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET (United Kingdom); Novosibirsk State University, 2 Pirogova str., 630090, Novosibirsk (Russian Federation); Babin, Sergey A. [Novosibirsk State University, 2 Pirogova str., 630090, Novosibirsk (Russian Federation); Institute of Automation and Electrometry SB RAS, 1 Ac. Koptug. ave., 630090, Novosibirsk (Russian Federation); Churkin, Dmitry V. [Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET (United Kingdom); Novosibirsk State University, 2 Pirogova str., 630090, Novosibirsk (Russian Federation); Institute of Automation and Electrometry SB RAS, 1 Ac. Koptug. ave., 630090, Novosibirsk (Russian Federation); Vatnik, Ilya D.; Nikulin, Maxim [Institute of Automation and Electrometry SB RAS, 1 Ac. Koptug. ave., 630090, Novosibirsk (Russian Federation); Podivilov, Evgenii V. [Novosibirsk State University, 2 Pirogova str., 630090, Novosibirsk (Russian Federation); Institute of Automation and Electrometry SB RAS, 1 Ac. Koptug. ave., 630090, Novosibirsk (Russian Federation)

    2014-09-10

    The concept of random lasers exploiting multiple scattering of photons in an amplifying disordered medium in order to generate coherent light without a traditional laser resonator has attracted a great deal of attention in recent years. This research area lies at the interface of the fundamental theory of disordered systems and laser science. The idea was originally proposed in the context of astrophysics in the 1960s by V.S. Letokhov, who studied scattering with “negative absorption” of the interstellar molecular clouds. Research on random lasers has since developed into a mature experimental and theoretical field. A simple design of such lasers would be promising for potential applications. However, in traditional random lasers the properties of the output radiation are typically characterized by complex features in the spatial, spectral and time domains, making them less attractive than standard laser systems in terms of practical applications. Recently, an interesting and novel type of one-dimensional random laser that operates in a conventional telecommunication fibre without any pre-designed resonator mirrors–random distributed feedback fibre laser–was demonstrated. The positive feedback required for laser generation in random fibre lasers is provided by the Rayleigh scattering from the inhomogeneities of the refractive index that are naturally present in silica glass. In the proposed laser concept, the randomly backscattered light is amplified through the Raman effect, providing distributed gain over distances up to 100 km. Although an effective reflection due to the Rayleigh scattering is extremely small (∼0.1%), the lasing threshold may be exceeded when a sufficiently large distributed Raman gain is provided. Such a random distributed feedback fibre laser has a number of interesting and attractive features. The fibre waveguide geometry provides transverse confinement, and effectively one-dimensional random distributed feedback leads to the

  4. Random distributed feedback fibre lasers

    International Nuclear Information System (INIS)

    Turitsyn, Sergei K.; Babin, Sergey A.; Churkin, Dmitry V.; Vatnik, Ilya D.; Nikulin, Maxim; Podivilov, Evgenii V.

    2014-01-01

    The concept of random lasers exploiting multiple scattering of photons in an amplifying disordered medium in order to generate coherent light without a traditional laser resonator has attracted a great deal of attention in recent years. This research area lies at the interface of the fundamental theory of disordered systems and laser science. The idea was originally proposed in the context of astrophysics in the 1960s by V.S. Letokhov, who studied scattering with “negative absorption” of the interstellar molecular clouds. Research on random lasers has since developed into a mature experimental and theoretical field. A simple design of such lasers would be promising for potential applications. However, in traditional random lasers the properties of the output radiation are typically characterized by complex features in the spatial, spectral and time domains, making them less attractive than standard laser systems in terms of practical applications. Recently, an interesting and novel type of one-dimensional random laser that operates in a conventional telecommunication fibre without any pre-designed resonator mirrors–random distributed feedback fibre laser–was demonstrated. The positive feedback required for laser generation in random fibre lasers is provided by the Rayleigh scattering from the inhomogeneities of the refractive index that are naturally present in silica glass. In the proposed laser concept, the randomly backscattered light is amplified through the Raman effect, providing distributed gain over distances up to 100 km. Although an effective reflection due to the Rayleigh scattering is extremely small (∼0.1%), the lasing threshold may be exceeded when a sufficiently large distributed Raman gain is provided. Such a random distributed feedback fibre laser has a number of interesting and attractive features. The fibre waveguide geometry provides transverse confinement, and effectively one-dimensional random distributed feedback leads to the

  5. Free access to science

    CERN Multimedia

    2003-01-01

    Several influential American scientists have begun to argue that the cost of research publications has grown so large that it impedes the distribution of knowledge. Some subscriptions cost thousands of dollars per year, and those journals are usually available online only to subscribers. So a coalition led by Harold Varmus, the former director of the National Institutes of Health, is creating a new model, called the Public Library of Science (1/2 page).

  6. LASP-01: Distribution of Mouse Embryonic Stem Cells Expressing MicroRNAs | Frederick National Laboratory for Cancer Research

    Science.gov (United States)

    The Laboratory Animal Sciences Program manages the expansion, processing, and distribution of1,501 genetically engineered mouse embryonic stem cell (mESC) linesharboring conditional microRNA transgenes. The Laboratory Animal Sciences Prog

  7. The ATLAS distributed analysis system

    International Nuclear Information System (INIS)

    Legger, F

    2014-01-01

    In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of Grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS Distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high and steadily improving; Grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters provides user support and communicates user problems to the sites. Both the user support techniques and the direct feedback of users have been effective in improving the success rate and user experience when utilizing the distributed computing environment. In this contribution a description of the main components, activities and achievements of ATLAS distributed analysis is given. Several future improvements being undertaken will be described.

  8. The ATLAS distributed analysis system

    Science.gov (United States)

    Legger, F.; Atlas Collaboration

    2014-06-01

    In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of Grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS Distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high and steadily improving; Grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters provides user support and communicates user problems to the sites. Both the user support techniques and the direct feedback of users have been effective in improving the success rate and user experience when utilizing the distributed computing environment. In this contribution a description of the main components, activities and achievements of ATLAS distributed analysis is given. Several future improvements being undertaken will be described.

  9. Analysis of a Pareto Mixture Distribution for Maritime Surveillance Radar

    Directory of Open Access Journals (Sweden)

    Graham V. Weinberg

    2012-01-01

    Full Text Available The Pareto distribution has been shown to be an excellent model for X-band high-resolution maritime surveillance radar clutter returns. Given the success of mixture distributions in radar, it is thus of interest to consider the effect of Pareto mixture models. This paper introduces a formulation of a Pareto intensity mixture distribution and investigates coherent multilook radar detector performance using this new clutter model. Clutter parameter estimates are derived from data sets produced by the Defence Science and Technology Organisation's Ingara maritime surveillance radar.

  10. Materials Sciences programs, Fiscal year 1993

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1994-02-01

    This report provides a compilation and index of the DOE Materials Sciences Division programs; the compilation is to assist administrators, managers, and scientists to help coordinate research. The report is divided into 7 sections: laboratory projects, contract research projects, small business innovation research, major user facilities, other user facilities, funding level distributions, and indexes.

  11. CLASSIFICATION, DISTRIBUTION AND PRODUCTION OF KNOWLEDGE: THEORETICAL SUMMARY

    Directory of Open Access Journals (Sweden)

    R. A. Tchupin

    2013-01-01

    Full Text Available The paper is devoted to systemizing the main theoretical approaches to classification, distribution and production of knowledge in the global economy. The author focuses on F. Machlup’s knowledge classification and the concept of useful knowledge by J. Mokyr.The interpersonal and public channels of communication and acquisition of knowledge are observed taking into consideration the total changes caused by transition from industrial to postindustrial economy. The paper provides a comparative analysis of the given model and alternative concepts of knowledge generation: finalization of science, strategic research, post-normal science, academic capitalism, post-academic science, and the triple helix concept. The author maintains that the current concepts of knowledge generation reflect the fact of transformation of modern institutional technical environment due to the global technological changes, and increasing contribution of knowledge to the economic development. Accordingly, the roles of the main participants of the given process are changing along with the growing integration of education and science, state and businesses. 

  12. OneFlorida Clinical Research Consortium: Linking a Clinical and Translational Science Institute With a Community-Based Distributive Medical Education Model.

    Science.gov (United States)

    Shenkman, Elizabeth; Hurt, Myra; Hogan, William; Carrasquillo, Olveen; Smith, Steven; Brickman, Andrew; Nelson, David

    2018-03-01

    Developing a national pragmatic clinical trial infrastructure is central to understanding the effectiveness of interventions applied under usual conditions and where people receive health care. To address this challenge, three Florida universities-the University of Florida Clinical and Translational Science Institute, Florida State University (with its community-based distributive medical education model), and the University of Miami-created (2010-2013) a statewide consortium, the OneFlorida Clinical Research Consortium, to support the conduct of pragmatic clinical trials and provide mentored research experiences for medical and graduate students in real-world practice settings. OneFlorida has four programs, which report to a steering committee with membership from each partner, community members, and the state Medicaid agency and Department of Health to ensure shared governance. The Clinical Research Program provides support to conduct research in the network and uses champions to engage community clinicians. The Citizen Scientist Program has community members who provide input on health topics of importance to them, study design, recruitment and retention strategies, and the interpretation of findings. The Data Trust Program contains electronic health record and health care claims data for 10.6 million Floridians. The Minority Education Program, in collaboration with three historically black colleges and universities, offers minority junior faculty mentoring in pragmatic clinical trials and implementation science. OneFlorida has implemented 27 studies with diverse patient populations and in diverse community practice settings. To identify evidence-based best practices from the clinical trials conducted in the network, foster their implementation, and expand research training opportunities.

  13. Framework for Processing Citizens Science Data for Applications to NASA Earth Science Missions

    Science.gov (United States)

    Teng, William; Albayrak, Arif

    2017-01-01

    Citizen science (or crowdsourcing) has drawn much high-level recent and ongoing interest and support. It is poised to be applied, beyond the by-now fairly familiar use of, e.g., Twitter for natural hazards monitoring, to science research, such as augmenting the validation of NASA earth science mission data. This interest and support is seen in the 2014 National Plan for Civil Earth Observations, the 2015 White House forum on citizen science and crowdsourcing, the ongoing Senate Bill 2013 (Crowdsourcing and Citizen Science Act of 2015), the recent (August 2016) Open Geospatial Consortium (OGC) call for public participation in its newly-established Citizen Science Domain Working Group, and NASA's initiation of a new Citizen Science for Earth Systems Program (along with its first citizen science-focused solicitation for proposals). Over the past several years, we have been exploring the feasibility of extracting from the Twitter data stream useful information for application to NASA precipitation research, with both "passive" and "active" participation by the twitterers. The Twitter database, which recently passed its tenth anniversary, is potentially a rich source of real-time and historical global information for science applications. The time-varying set of "precipitation" tweets can be thought of as an organic network of rain gauges, potentially providing a widespread view of precipitation occurrence. The validation of satellite precipitation estimates is challenging, because many regions lack data or access to data, especially outside of the U.S. and in remote and developing areas. Mining the Twitter stream could augment these validation programs and, potentially, help tune existing algorithms. Our ongoing work, though exploratory, has resulted in key components for processing and managing tweets, including the capabilities to filter the Twitter stream in real time, to extract location information, to filter for exact phrases, and to plot tweet distributions. The

  14. E-collisions using E-science

    International Nuclear Information System (INIS)

    Scott, N.S.; Faro-Maza, V.; Scott, M.P.; Harmer, T.; Chesneaux, J.-M.; Denis, C.; Jezequel, F.

    2008-01-01

    We describe a computational science research programme primarily aimed at engineering numerically robust software that can exploit high performance on distributed computers in the study of electron collisions with atoms and ions. In particular, we describe the development of 2DRMP-G, a Grid aware two-dimensional R matrix propagator, and its numerical validation using CADNA, a software tool based on discrete stochastic arithmetic

  15. Lotka’s Law and the Literature of Library and Information Science in Turkey

    Directory of Open Access Journals (Sweden)

    Murat Yılmaz

    2006-03-01

    Full Text Available The aim of the study is to test the applicability of Lotka’s Law for the literature of library and information science in Turkey. The database of the study is 1399 papers published in The Bibliography of Articles in Turkish Periodicals between 1952 and 2000, by 604 researchers in the field of library and information scien­ce. The results of the study present the distribution of productivity of Lotka’s in­verse square law does not fit the distribution of the data constituted by the rese­archers in the field of library and information science in Turkey. In other words it was determined that Lotka’s inverse square law does not apply the literature of library and information science in Turkey. Furthermore it was determined that Lotka’s inverse power law fits the value of n (2,1128 calculated for the literatu­re of library and information science in Turkey.

  16. Waking-up to Science!

    Science.gov (United States)

    2007-03-01

    our genes", says Potočnik. "Unfortunately it tends to die away when we grow up. This is because the ways we raise and educate our children and the ways we work and live do not always support innovative thinking and doing. We cannot change this overnight. But I think it is worth making the effort to awaken this dormant passion and initiatives like Science on Stage can be a very effective alarm clock", he adds. The festival will close with the presentation of the European Science Teaching Awards. The teaching materials and methods voted to be the best in Europe will then be presented in the 'Science in School' magazine, distributed free of charge to 30,000 teachers in Europe. The festival is the climax of a two-year programme of events organised in virtually every European country and from which delegates have been selected for their outstanding projects for promoting science. The winners of ESO's Catch a Star! 2007 contest will also be announced during the Science on Stage festival. The event follows on from the hugely successful 'Physics on Stage' and 'Science on Stage' festivals organised by EIROforum in 2000, 2002, 2003 and 2005. Journalists are cordially invited to take part in this unique European event. Practical information, including the detailed festival programme, is available on the Science on Stage web site at http://www.ill.fr/scienceonstage2007. A detailed press kit is available at http://www.ill.fr/scienceonstage2007/fichiers/SOSpresskit.pdf

  17. Introduction to cognition in science and technology.

    Science.gov (United States)

    Gorman, Michael E

    2009-10-01

    Cognitive studies of science and technology have had a long history of largely independent research projects that have appeared in multiple outlets, but rarely together. The emergence of a new International Society for Psychology of Science and Technology suggests that this is a good time to put some of the latest work in this area into topiCS in a way that will both acquaint readers with the cutting edge in this domain and also give them a hint of its history. One core theme includes how scientists, inventors, and engineers represent and solve problems; another, related theme is the extent to which they distribute and share cognition. Methodologies include fine-grained studies of historical records, protocols of working scientists, observations and comparisons of engineering science laboratories, and computational simulations designed both to serve as research tools and also to improve scientific problem-solving. The series of articles will conclude with the Associate Editor's suggestions for future research. Copyright © 2009 Cognitive Science Society, Inc.

  18. Electronic Publishing in Library and Information Science.

    Science.gov (United States)

    Lee, Joel M.; And Others

    1988-01-01

    Discusses electronic publishing as it refers to machine-readable databases. Types of electronic products and services are described and related topics considered: (1) usage of library and information science databases; (2) production and distribution of databases; (3) trends and projections in the electronic information industry; and (4)…

  19. Delivering Science from Big Data

    Science.gov (United States)

    Quinn, Peter Joseph

    2015-08-01

    The SKA will be capable of producing a stream of science data products that are Exa-scale in terms of their storage and processing requirements. This Google-scale enterprise is attracting considerable international interest and excitement from within the industrial and academic communities. In this paper we examine the data flow, storage and processing requirements of a number of key SKA survey science projects to be executed on the baseline SKA1 configuration. Based on a set of conservative assumptions about trends for HPC and storage costs, and the data flow process within the SKA Observatory, it is apparent that survey projects of the scale proposed will potentially drive construction and operations costs beyond the current anticipated SKA1 budget. This implies a sharing of the resources and costs to deliver SKA science between the community and what is contained within the SKA Observatory. A similar situation was apparent to the designers of the LHC more than 10 years ago. We propose that it is time for the SKA project and broader community to consider the effort and process needed to design and implement a distributed science data system that leans on the lessons of other projects and looks to recent developments in Cloud technologies to ensure an affordable, effective and global achievement of science goals.

  20. Security for Multimedia Space Data Distribution over the Internet

    Science.gov (United States)

    Stone, Thom; Picinich, Lou; Givens, John J. (Technical Monitor)

    1995-01-01

    Distribution of interactive multimedia to remote investigators will be required for high quality science on the International Space Station (ISS). The Internet with the World Wide Web (WWW) and the JAVA environment are a good match for distribution of data, video and voice to remote science centers. Utilizing the "open" Internet in a secure manner is the major hurdle in making use of this cost effective, off-the-shelf, universal resource. This paper examines the major security threats to an Internet distribution system for payload data and the mitigation of these threats. A proposed security environment for the Space Station Biological Research Facility (SSBRP) is presented with a short description of the tools that have been implemented or planned. Formulating and implementing a security policy, firewalls, host hardware and software security are also discussed in this paper. Security is a vast topic and this paper can only give an overview of important issues. This paper postulates that a structured approach is required and stresses that security must be built into a network from the start. Ignoring security issues or putting them off until late in the development cycle can be disastrous.

  1. Zeta potential in colloid science principles and applications

    CERN Document Server

    Hunter, Robert J; Rowell, R L

    2013-01-01

    Zeta Potential in Colloid Science: Principles and Applications covers the concept of the zeta potential in colloid chemical theory. The book discusses the charge and potential distribution at interfaces; the calculation of the zeta potential; and the experimental techniques used in the measurement of electrokinetic parameters. The text also describes the electroviscous and viscoelectric effects; applications of the zeta potential to areas of colloid science; and the influence of simple inorganic ions or more complex adsorbates on zeta potential. Physical chemists and people involved in the stu

  2. Jackson State University (JSU)’s Center of Excellence in Science, Technology, Engineering, and Mathematics Education (CESTEME)

    Science.gov (United States)

    2016-01-08

    Actuarial Science Taylor, Triniti Lanier Alcorn State University Animal Science Tchounwou, Hervey Madison Central Jackson State University Computer...for Public Release; Distribution Unlimited Final Report: Jackson State University (JSU)’s Center of Excellence in Science , Technology, Engineering...Final Report: Jackson State University (JSU)’s Center of Excellence in Science , Technology, Engineering, and Mathematics Education (CESTEME) Report

  3. Science-and-Technology-oriented-Society and Man

    Science.gov (United States)

    Fukui, Ken'ichi

    This is a special lecture at the 30th anniversary of JICST. To develop science-and-te chnology-oriented society it is important to evaluate and select infinite information resources on science and technology, and to reorganize and apply them. This also relates to humanity. For the future, we have to establish scientific ethics that can exceed the expedience of science and technology. To be concrete, we have to create new industrial value that recovers and reclaims natural resources which men had wasted so far, and we have to establish a new technology to distribute maldistributed industrial benefits equally. And then, the selfcontrol of the human aiming at the harmony of nature and man will secure human liberty, and it will be done by the good function of man's brain.

  4. Army Science and Technology Master Plan, Fiscal Year 1997 - Volume 1.

    Science.gov (United States)

    1996-12-01

    municipal desalination trition, nutritional biochemistry, behavioral sciences, neurophysiology, chemical engineer- Twelve CRDAs include the following...areas: "* Distributed command and control (1) Nanotechnology "* Information processing (2) Photonics "* Distributed interactive simulation (3) Obscured...Technology "* Adaptive, anticipative systems b. Major Reference Areas "* Intelligent systems Nanotechnology -The objective of "* Human/machine interface

  5. Chemical Database Projects Delivered by RSC eScience

    OpenAIRE

    Williams, Antony

    2013-01-01

    This presentation is an overview of some of the projects we are involved with at RSC eScience. The presentation was given at the FDA Meeting regarding the “Development of a Freely Distributable Data System for the Registration of Substances"  

  6. U.S. Geological Survey Water science strategy--observing, understanding, predicting, and delivering water science to the nation

    Science.gov (United States)

    Evenson, Eric J.; Orndorff, Randall C.; Blome, Charles D.; Böhlke, John Karl; Hershberger, Paul K.; Langenheim, V.E.; McCabe, Gregory J.; Morlock, Scott E.; Reeves, Howard W.; Verdin, James P.; Weyers, Holly S.; Wood, Tamara M.

    2013-01-01

    This report expands the Water Science Strategy that began with the USGS Science Strategy, “Facing Tomorrow’s Challenges—U.S. Geological Survey Science in the Decade 2007–2017” (U.S. Geological Survey, 2007). This report looks at the relevant issues facing society and develops a strategy built around observing, understanding, predicting, and delivering water science for the next 5 to 10 years by building new capabilities, tools, and delivery systems to meet the Nation’s water-resource needs. This report begins by presenting the vision of water science for the USGS and the societal issues that are influenced by, and in turn influence, the water resources of our Nation. The essence of the Water Science Strategy is built on the concept of “water availability,” defined as spatial and temporal distribution of water quantity and quality, as related to human and ecosystem needs, as affected by human and natural influences. The report also describes the core capabilities of the USGS in water science—the strengths, partnerships, and science integrity that the USGS has built over its 134-year history. Nine priority actions are presented in the report, which combine and elevate the numerous specific strategic actions listed throughout the report. Priority actions were developed as a means of providing the audience of this report with a list for focused attention, even if resources and time limit the ability of managers to address all of the strategic actions in the report.

  7. Informal Science learning in PIBID: identifying and interpreting the strands

    Directory of Open Access Journals (Sweden)

    Thomas Barbosa Fejolo

    2013-10-01

    Full Text Available This paper presents a research on informal Science learning in the context of the Institutional Scholarship Program Initiation to Teaching (PIBID. We take as reference the strands of informal Science learning (FAC, representing six dimensions of learning, they are: 1 Development of interest in Science; 2 Understanding of scientific knowledge; 3 Engaging in scientific reasoning; 4 Reflection on Science; 5 Engagement in scientific practice; 6 Identification with Science. For the lifting data, it was used the filming record of the interactions and dialogues of undergraduate students while performing activities of Optical Spectroscopy in the laboratory. Based on the procedures of content analysis and interpretations through communication, we investigate which of the six strands were present during the action of the students in activities. As a result we have drawn a learning profile for each student by distributing communications in different strands of informal Science learning.

  8. FROM THE TEXTBOOK TO NATURAL SCIENCE LESSONS: THE CONSTRUCTION OF SCIENCE IN THE CLASSROOM

    Directory of Open Access Journals (Sweden)

    Naranjo, Gabriela

    2010-07-01

    Full Text Available This ethnographic study is about the case of a Mexican primary school whose main reference for developing their classes is the Official Textbook, distributed by the government to all the students in the country. It analyzed the process of meaning construction by which teacher and students transform the curricular content of the textbook, in order to show how they produce local school science. For the analysis we incorporated several theoretical and methodological contributions of a multimodal perspective (Kress et al; 2001; Kress et al; 2005. From this perspective, on one hand, the textbook is considered as a multimodal complex of signs that has potential meanings related with the natural science and, on the other hand, teacher and students are viewed as active meaning producers. It is showed that although the classes are developed as the textbook suggests, teacher and students involve diverse resources of communication and representation (semiotic modes for making particular meanings and constructing a local version of school science. This article is written in Spanish.

  9. Political implications of science popularisation strategies: Frontiers of S cience.

    Science.gov (United States)

    Burns, Maureen

    2016-07-01

    This examination of the mediation strategies of a very popular factual science comic strip series from the 1960s and 1970s illustrates, in this case by highlighting the ways in which women were targeted as an audience, that science popularisations are always political. For that reason, they should not be evaluated merely in terms of scientific accuracy. I demonstrate tensions between the dissemination model of communication used in the distribution of science popularisations, on the one hand, with the advocacy of a dialogue model in their content, on the other. © The Author(s) 2015.

  10. Science and Science Fiction

    Science.gov (United States)

    Oravetz, David

    2005-01-01

    This article is for teachers looking for new ways to motivate students, increase science comprehension, and understanding without using the old standard expository science textbook. This author suggests reading a science fiction novel in the science classroom as a way to engage students in learning. Using science fiction literature and language…

  11. Vertical distribution of pelagic photosynthesis

    DEFF Research Database (Denmark)

    Lyngsgaard, Maren Moltke

    chlorophyll maxima (DCM) to be a general feature in the ocean. Today, it is generally accepted that DCMs occur in most of our oceans still, despite this empirical knowledge, subsurface primary production is still largely ignored in marine science. The work included in this PhD examines the vertical...... each of the three regions combined with 15 years of survey data for the Baltic Sea transition zone. Overall, the results of this PhD work show that the vertical distribution of phytoplankton and their activity is important for the understanding, dynamics and functioning of pelagic ecosystems. It, thus......, emphasizes that future research and modelling exercises aimed at improving understanding of pelagic ecosystems and their role in the global ocean should include a consideration of the vertical heterogeneity in phytoplankton distributions and activity....

  12. Life Sciences Data Archive (LSDA) in the Post-Shuttle Era

    Science.gov (United States)

    Fitts, Mary A.; Johnson-Throop, Kathy; Havelka, Jacque; Thomas, Diedre

    2009-01-01

    Now, more than ever before, NASA is realizing the value and importance of their intellectual assets. Principles of knowledge management, the systematic use and reuse of information/experience/expertise to achieve a specific goal, are being applied throughout the agency. LSDA is also applying these solutions, which rely on a combination of content and collaboration technologies, to enable research teams to create, capture, share, and harness knowledge to do the things they do well, even better. In the early days of spaceflight, space life sciences data were been collected and stored in numerous databases, formats, media-types and geographical locations. These data were largely unknown/unavailable to the research community. The Biomedical Informatics and Health Care Systems Branch of the Space Life Sciences Directorate at JSC and the Data Archive Project at ARC, with funding from the Human Research Program through the Exploration Medical Capability Element, are fulfilling these requirements through the systematic population of the Life Sciences Data Archive. This project constitutes a formal system for the acquisition, archival and distribution of data for HRP-related experiments and investigations. The general goal of the archive is to acquire, preserve, and distribute these data and be responsive to inquiries from the science communities.

  13. Women in science: What keeps them interested?

    Science.gov (United States)

    Orloff, Teresa Lynn

    The goal of this study was to investigate the importance of five factors on the interest and persistence of females in science. The five factors were: (1) science teachers; (2) parents; (3) one-on-one mentoring; (4) summer and extracurricular science programs; and (5) the media (television, movies, radio, computers). Data was collected through 201 questionnaires distributed equally to three groups of scientists: (1) science teachers; (2) research faculty; and (3) community professionals. Data analysis consisted of nonparametric statistical tests of significance to determine which of the five factors are the most influential. The results of the data analysis revealed the relative order of importance of the five factors on the interest and persistence of females in science as: (1) Science teachers and (2) parents. (3) Summer/extracurricular science programs. (4) Mentors. (5) Media. Three conclusions were derived from this study. First, females are influenced more by people than programs. Unlike males, females define themselves in relation to other people. The people who have the most influence in young females are those people such as teachers and parents who have the most contact with young girls. Females feel safe in such relationships and with a sense of trust comes a feeling of confidence to pursue desires and interests. Second, females place importance on lasting relationships. The relationships that have the most influence on young females are those where trust and confidence have a chance to form over time. Women in the position of long term relationships with young girls such as teachers and parents, need to become active mentors in helping girls choose careers. Third, elementary teachers are not influential towards the interest and persistence of females in science. Many elementary teachers are not comfortable teaching science and therefore spend little time teaching science to their classes. Stronger emphasis in teacher education programs on science and

  14. High Performance Data Distribution for Scientific Community

    Science.gov (United States)

    Tirado, Juan M.; Higuero, Daniel; Carretero, Jesus

    2010-05-01

    Institutions such as NASA, ESA or JAXA find solutions to distribute data from their missions to the scientific community, and their long term archives. This is a complex problem, as it includes a vast amount of data, several geographically distributed archives, heterogeneous architectures with heterogeneous networks, and users spread around the world. We propose a novel architecture (HIDDRA) that solves this problem aiming to reduce user intervention in data acquisition and processing. HIDDRA is a modular system that provides a highly efficient parallel multiprotocol download engine, using a publish/subscribe policy which helps the final user to obtain data of interest transparently. Our system can deal simultaneously with multiple protocols (HTTP,HTTPS, FTP, GridFTP among others) to obtain the maximum bandwidth, reducing the workload in data server and increasing flexibility. It can also provide high reliability and fault tolerance, as several sources of data can be used to perform one file download. HIDDRA architecture can be arranged into a data distribution network deployed on several sites that can cooperate to provide former features. HIDDRA has been addressed by the 2009 e-IRG Report on Data Management as a promising initiative for data interoperability. Our first prototype has been evaluated in collaboration with the ESAC centre in Villafranca del Castillo (Spain) that shows a high scalability and performance, opening a wide spectrum of opportunities. Some preliminary results have been published in the Journal of Astrophysics and Space Science [1]. [1] D. Higuero, J.M. Tirado, J. Carretero, F. Félix, and A. de La Fuente. HIDDRA: a highly independent data distribution and retrieval architecture for space observation missions. Astrophysics and Space Science, 321(3):169-175, 2009

  15. Handbook of exponential and related distributions for engineers and scientists

    CERN Document Server

    Pal, Nabendu; Lim, Wooi K

    2005-01-01

    The normal distribution is widely known and used by scientists and engineers. However, there are many cases when the normal distribution is not appropriate, due to the data being skewed. Rather than leaving you to search through journal articles, advanced theoretical monographs, or introductory texts for alternative distributions, the Handbook of Exponential and Related Distributions for Engineers and Scientists provides a concise, carefully selected presentation of the properties and principles of selected distributions that are most useful for application in the sciences and engineering.The book begins with all the basic mathematical and statistical background necessary to select the correct distribution to model real-world data sets. This includes inference, decision theory, and computational aspects including the popular Bootstrap method. The authors then examine four skewed distributions in detail: exponential, gamma, Weibull, and extreme value. For each one, they discuss general properties and applicabi...

  16. Publications in biomedical and environmental sciences programs, 1980

    Energy Technology Data Exchange (ETDEWEB)

    Pfuderer, H.A.; Moody, J.B.

    1981-07-01

    This bibliography contains 690 references to articles in journals, books, and reports published in the subject area of biomedical and environmental sciences during 1980. There are 529 references to articles published in journals and books and 161 references to reports. Staff members in the Biomedical and Environmental Sciences divisions have other publications not included in this bibliography; for example, theses, book reviews, abstracts published in journals or symposia proceedings, pending journal publications and reports such as monthly and bimonthly progress reports, contractor reports, and reports for internal distribution. This document is sorted by the division, and then alphabetically by author. The sorting by divisions separates the references by subject area in a simple way. The divisions represented in the order that they appear in the bibliography are Analytical Chemistry, Biology, Chemical Technology, Information R and D, Health and Safety Research, Energy, Environmental Sciences, and Computer Sciences.

  17. Publications in biomedical and environmental sciences programs, 1980

    International Nuclear Information System (INIS)

    Pfuderer, H.A.; Moody, J.B.

    1981-07-01

    This bibliography contains 690 references to articles in journals, books, and reports published in the subject area of biomedical and environmental sciences during 1980. There are 529 references to articles published in journals and books and 161 references to reports. Staff members in the Biomedical and Environmental Sciences divisions have other publications not included in this bibliography; for example, theses, book reviews, abstracts published in journals or symposia proceedings, pending journal publications and reports such as monthly and bimonthly progress reports, contractor reports, and reports for internal distribution. This document is sorted by the division, and then alphabetically by author. The sorting by divisions separates the references by subject area in a simple way. The divisions represented in the order that they appear in the bibliography are Analytical Chemistry, Biology, Chemical Technology, Information R and D, Health and Safety Research, Energy, Environmental Sciences, and Computer Sciences

  18. Density Distribution of Liquid Argon in Nano-channel Poiseuille Flows

    Science.gov (United States)

    She, Jiangwei; Wang, Yuyi; Zhou, Zhe-Wei

    2017-11-01

    The density layering parallel to the boundaries of liquid has been measured in many experiments and also observed in molecular dynamics (MD) simulations. In this study, a detail and systematic investigation of density distribution in nano-scale Poiseuille flows is carried out. Through analyzing the difference of density distribution curves obtained under different conditions, the influence of interaction parameters, configuration form of solid wall and temperature on the layering are investigated. The internal mechanism is also explored in this paper. The detail description of the density distribution results and simulation algorithm is given. National natural science foundation (A020405).

  19. Looking Back at 25 Years With NASA's EOSDIS Distributed Active Archive Centers

    Science.gov (United States)

    Behnke, J.; Kittel, D.

    2017-12-01

    NASA's Earth Observing System Data and Information System (EOSDIS) has been a central component of the NASA Earth observation program since the 1990's. The data collected by NASA's remote sensing instruments represent a significant public investment in research. EOSDIS provides free and open access to this data to a worldwide public research community. EOSDIS manages a wide range of Earth science discipline data that include cryosphere, land cover change, polar processes, field campaigns, ocean surface, digital elevation, atmosphere dynamics and composition, and inter-disciplinary research, among many others. From the very beginning, EOSDIS was conceived as a system built on partnerships between NASA Centers, US agencies and academia. As originally conceived, the EOSDIS comprised of organizations to process and disseminate remote sensing and in situ data and provide services to a wide variety of users. These organizations are known as the Distributed Active Archive Centers (DAACs). Because of their active role in NASA mission science and with the science community, the DAACs represent a distinct departure from the run-of-the-mill data center. The purpose of this paper is to highlight this distinction and to describe the experiences, strategies, and lessons learned from the operation of the DAACs. Today, there are 12 DAACs geographically distributed across the US that serve over 3 million users and distributed over 1.5 billion Earth science data products. Managed by NASA's Earth Science Data and Information System (ESDIS) Project at Goddard Space Flight Center, the DAACs each support different Earth science disciplines allowing for the customized support to user communities. The ESDIS Project provides the infrastructure support for the entire EOSDIS system, which has grown to 23 petabytes. The DAACs have improved performance as they have grown over the years, while costs are tightly controlled. We have several recommendations about curation, level of service

  20. Possibility of using sources of vacuum ultraviolet irradiation to solve problems of space material science

    Science.gov (United States)

    Verkhoutseva, E. T.; Yaremenko, E. I.

    1974-01-01

    An urgent problem in space materials science is simulating the interaction of vacuum ultraviolet (VUV) of solar emission with solids in space conditions, that is, producing a light source with a distribution that approximates the distribution of solar energy. Information is presented on the distribution of the energy flux of VUV of solar radiation. Requirements that must be satisfied by the VUV source used for space materials science are formulated, and a critical evaluation is given of the possibilities of using existing sources for space materials science. From this evaluation it was established that none of the sources of VUV satisfies the specific requirements imposed on the simulator of solar radiation. A solution to the problem was found to be in the development of a new type of source based on exciting a supersonic gas jet flowing into vacuum with a sense electron beam. A description of this gas-jet source, along with its spectral and operation characteristics, is presented.

  1. The Distribution of Ice in Lunar Permanently Shadowed Regions: Science Enabling Exploration (Invited)

    Science.gov (United States)

    Hurley, D.; Elphic, R. C.; Bussey, B.; Hibbitts, C.; Lawrence, D. J.

    2013-12-01

    Recent prospecting indicates that water ice occurs in enhanced abundances in some lunar PSRs. That water constitutes a resource that enables lunar exploration if it can be harvested for fuel and life support. Future lunar exploration missions will need detailed information about the distribution of volatiles in lunar permanently shadowed regions (PSRs). In addition, the volatiles also offer key insights into the recent and distant past, as they have trapped volatiles delivered to the moon over ~2 Gyr. This comprises an unparalleled reservoir of past inner solar system volatiles, and future scientific missions are needed to make the measurements that will reveal the composition of those volatiles. These scientific missions will necessarily have to acquire and analyze samples of volatiles from the PSRs. For both exploration and scientific purposes, the precise location of volatiles will need to be known. However, data indicate that ice is distributed heterogeneously on the Moon. It is unlikely that the distribution will be known a priori with enough spatial resolution to guarantee access to volatiles using a single point sample. Some mechanism for laterally or vertically distributed access will increase the likelihood of acquiring a rich sample of volatiles. Trade studies will need to be conducted to anticipate the necessary range and duration of missions to lunar PSRs that will be needed to accomplish the mission objectives. We examine the spatial distribution of volatiles in lunar PSRs reported from data analyses and couple those with models of smaller scale processes. FUV and laser data from PSRs that indicate the average surface distribution is consistent with low abundances on the extreme surface in most PSRs. Neutron and radar data that probe the distribution at depth show heterogeneity at broad spatial resolution. We consider those data in conjunction with the model to understand the full, 3-D nature of the heterogeneity. A Monte Carlo technique simulates the

  2. Velocity Distributions of Runaway Stars Produced by Supernovae in ...

    Indian Academy of Sciences (India)

    J. Astrophys. Astr. (2016) 37: 22. DOI: 10.1007/s12036-016-9400-2. Velocity Distributions of Runaway Stars Produced by Supernovae in the Galaxy. Abudusaimaitijiang Yisikandeer. ∗. , Chunhua Zhu, Zhaojun Wang. & Guoliang Lü. School of Physical Science and Technology, Xinjiang University, Urumqi, 830046, China. ∗.

  3. Augmented Reality in science education – affordances for student learning

    OpenAIRE

    Nielsen, Birgitte Lund; Brandt, Harald; Swensen, Håkon

    2016-01-01

    Most extant studies examining augmented reality (AR) have focused on the technology itself. This paper presents findings addressing the issue of AR for educational purposes based on a sequential survey distributed to 35 expert science teachers, ICT designers and science education researchers from four countries. There was consensus among experts in relation to a focus on ‘learning before technology’, and they in particular supplemented affordances identified in literature with perspectives re...

  4. Building a Semantic Framework for eScience

    Science.gov (United States)

    Movva, S.; Ramachandran, R.; Maskey, M.; Li, X.

    2009-12-01

    The e-Science vision focuses on the use of advanced computing technologies to support scientists. Recent research efforts in this area have focused primarily on “enabling” use of infrastructure resources for both data and computational access especially in Geosciences. One of the existing gaps in the existing e-Science efforts has been the failure to incorporate stable semantic technologies within the design process itself. In this presentation, we describe our effort in designing a framework for e-Science built using Service Oriented Architecture. Our framework provides users capabilities to create science workflows and mine distributed data. Our e-Science framework is being designed around a mass market tool to promote reusability across many projects. Semantics is an integral part of this framework and our design goal is to leverage the latest stable semantic technologies. The use of these stable semantic technologies will provide the users of our framework the useful features such as: allow search engines to find their content with RDFa tags; create RDF triple data store for their content; create RDF end points to share with others; and semantically mash their content with other online content available as RDF end point.

  5. Increasing efficiency of job execution with resource co-allocation in distributed computer systems

    OpenAIRE

    Cankar, Matija

    2014-01-01

    The field of distributed computer systems, while not new in computer science, is still the subject of a lot of interest in both industry and academia. More powerful computers, faster and more ubiquitous networks, and complex distributed applications are accelerating the growth of distributed computing. Large numbers of computers interconnected in a single network provide additional computing power to users whenever required. Such systems are, however, expensive and complex to manage, which ca...

  6. IRIS Toxicological Review of Trichloroethylene (Interagency Science Discussion Draft)

    Science.gov (United States)

    EPA is releasing the draft report, Toxicological Review of Trichloroethylene, that was distributed to Federal agencies and White House Offices for comment during the Science Discussion step of the IRIS Assessment Development Process. Comments received from other Federal agencies ...

  7. Devices development and techniques research for space life sciences

    Science.gov (United States)

    Zhang, A.; Liu, B.; Zheng, C.

    The development process and the status quo of the devices and techniques for space life science in China and the main research results in this field achieved by Shanghai Institute of Technical Physics SITP CAS are reviewed concisely in this paper On the base of analyzing the requirements of devices and techniques for supporting space life science experiments and researches one designment idea of developing different intelligent modules with professional function standard interface and easy to be integrated into system is put forward and the realization method of the experiment system with intelligent distributed control based on the field bus are discussed in three hierarchies Typical sensing or control function cells with certain self-determination control data management and communication abilities are designed and developed which are called Intelligent Agents Digital hardware network system which are consisted of the distributed Agents as the intelligent node is constructed with the normative opening field bus technology The multitask and real-time control application softwares are developed in the embedded RTOS circumstance which is implanted into the system hardware and space life science experiment system platform with characteristic of multitasks multi-courses professional and instant integration will be constructed

  8. Do Gender-Science Stereotypes Predict Science Identification and Science Career Aspirations among Undergraduate Science Majors?

    Science.gov (United States)

    Cundiff, Jessica L.; Vescio, Theresa K.; Loken, Eric; Lo, Lawrence

    2013-01-01

    The present research examined whether gender-science stereotypes were associated with science identification and, in turn, science career aspirations among women and men undergraduate science majors. More than 1,700 students enrolled in introductory science courses completed measures of gender-science stereotypes (implicit associations and…

  9. Heterogeneous distribution of Zn stable isotopes in mice and applications to medical sciences

    Science.gov (United States)

    Moynier, F.; Fujii, T.; Shaw, A.; Le Borgne, M.

    2013-12-01

    Zinc is required for the function of more than 300 enzymes involved in many metabolic pathways, and is a vital micronutrient for living organisms. To investigate if Zn isotopes could be used to better understand metal homeostasis, as well as a biomarker for diseases, we assessed the distribution of natural Zn isotopes in various mouse tissues. We found that, with respect to Zn isotopes, most mouse organs are isotopically distinct and that the total range of variation within one mouse encompasses the variations observed in the Earth's crust. Therefore, biological activity must have a major impact on the distribution of Zn isotopes in inorganic materials. The most striking aspect of the data is that red blood cells and bones are enriched by ~0.5 per mil in 66Zn relative to 64Zn when compared to serum, and up to ~1 per mil when compared to the brain and liver. This fractionation is well explained by the equilibrium distribution of isotopes between different bonding environments of Zn in different organs. Differences in gender and genetic background did not appear to affect the isotopic distribution of Zn. Together, these results suggest that potential use of Zn isotopes as a tracer for dietary Zn, and for detecting disturbances in Zn metabolism due to pathological conditions.

  10. Fouling distribution in forward osmosis membrane process.

    Science.gov (United States)

    Lee, Junseok; Kim, Bongchul; Hong, Seungkwan

    2014-06-01

    Fouling behavior along the length of membrane module was systematically investigated by performing simple modeling and lab-scale experiments of forward osmosis (FO) membrane process. The flux distribution model developed in this study showed a good agreement with experimental results, validating the robustness of the model. This model demonstrated, as expected, that the permeate flux decreased along the membrane channel due to decreasing osmotic pressure differential across the FO membrane. A series of fouling experiments were conducted under the draw and feed solutions at various recoveries simulated by the model. The simulated fouling experiments revealed that higher organic (alginate) fouling and thus more flux decline were observed at the last section of a membrane channel, as foulants in feed solution became more concentrated. Furthermore, the water flux in FO process declined more severely as the recovery increased due to more foulants transported to membrane surface with elevated solute concentrations at higher recovery, which created favorable solution environments for organic adsorption. The fouling reversibility also decreased at the last section of the membrane channel, suggesting that fouling distribution on FO membrane along the module should be carefully examined to improve overall cleaning efficiency. Lastly, it was found that such fouling distribution observed with co-current flow operation became less pronounced in counter-current flow operation of FO membrane process. Copyright © 2014 The Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.

  11. Distributed Operations Planning

    Science.gov (United States)

    Fox, Jason; Norris, Jeffrey; Powell, Mark; Rabe, Kenneth; Shams, Khawaja

    2007-01-01

    Maestro software provides a secure and distributed mission planning system for long-term missions in general, and the Mars Exploration Rover Mission (MER) specifically. Maestro, the successor to the Science Activity Planner, has a heavy emphasis on portability and distributed operations, and requires no data replication or expensive hardware, instead relying on a set of services functioning on JPL institutional servers. Maestro works on most current computers with network connections, including laptops. When browsing down-link data from a spacecraft, Maestro functions similarly to being on a Web browser. After authenticating the user, it connects to a database server to query an index of data products. It then contacts a Web server to download and display the actual data products. The software also includes collaboration support based upon a highly reliable messaging system. Modifications made to targets in one instance are quickly and securely transmitted to other instances of Maestro. The back end that has been developed for Maestro could benefit many future missions by reducing the cost of centralized operations system architecture.

  12. Defining Success in Open Science.

    Science.gov (United States)

    Ali-Khan, Sarah E; Jean, Antoine; MacDonald, Emily; Gold, E Richard

    2018-01-01

    Mounting evidence indicates that worldwide, innovation systems are increasing unsustainable. Equally, concerns about inequities in the science and innovation process, and in access to its benefits, continue. Against a backdrop of growing health, economic and scientific challenges global stakeholders are urgently seeking to spur innovation and maximize the just distribution of benefits for all. Open Science collaboration (OS) - comprising a variety of approaches to increase open, public, and rapid mobilization of scientific knowledge - is seen to be one of the most promising ways forward. Yet, many decision-makers hesitate to construct policy to support the adoption and implementation of OS without access to substantive, clear and reliable evidence. In October 2017, international thought-leaders gathered at an Open Science Leadership Forum in the Washington DC offices of the Bill and Melinda Gates Foundation to share their views on what successful Open Science looks like. Delegates from developed and developing nations, national governments, science agencies and funding bodies, philanthropy, researchers, patient organizations and the biotechnology, pharma and artificial intelligence (AI) industries discussed the outcomes that would rally them to invest in OS, as well as wider issues of policy and implementation. This first of two reports, summarizes delegates' views on what they believe OS will deliver in terms of research, innovation and social impact in the life sciences. Through open and collaborative process over the next months, we will translate these success outcomes into a toolkit of quantitative and qualitative indicators to assess when, where and how open science collaborations best advance research, innovation and social benefit. Ultimately, this work aims to develop and openly share tools to allow stakeholders to evaluate and re-invent their innovation ecosystems, to maximize value for the global public and patients, and address long-standing questions

  13. Professionality of Junior High School (SMP) Science Teacher in Preparing Instructional Design of Earth and Space Sciences (IPBA)

    Science.gov (United States)

    Marlina, L.; Liliasari; Tjasyono, B.; Hendayana, S.

    2017-02-01

    The teacher is one important factor in the provision of education in schools. Therefore, improving the quality of education means we need to enhance the quality and the professionalism of teachers. We offer a solution through education and training of junior high school science teachers in developing the instructional design of Earth and Space Sciences (IPBA). IPBA is part of the science subjects which is given to students from elementary school to college. This research is a preliminary study of junior high school science teacher professionalism in creating instructional design IPBA. Mixed method design is used to design the research. Preliminary studies conducted on junior high school science teacher in one MGMPs in South Sumatera, and the respondent are 18 teachers from 13 schools. The educational background of science teachers who teach IPBA not only from physical education but also biology and agriculture. The result of preliminary study showed that the ratio of teachers who teach IPBA are 56% from physic education, 39% from biology, and 5% from agriculture. The subjects of IPBA that considered difficult by teachers are the distribution of sun, moon, and satellite motion; specific processes in lithosphere and atmosphere; and the correlation between lithosphere and atmosphere with the environment. The teachers also face difficulty in preparing media, choosing the right methods in teaching IPBA.

  14. Why and How Political Science Can Contribute to Public Health? Proposals for Collaborative Research Avenues.

    Science.gov (United States)

    Gagnon, France; Bergeron, Pierre; Clavier, Carole; Fafard, Patrick; Martin, Elisabeth; Blouin, Chantal

    2017-04-05

    Written by a group of political science researchers, this commentary focuses on the contributions of political science to public health and proposes research avenues to increase those contributions. Despite progress, the links between researchers from these two fields develop only slowly. Divergences between the approach of political science to public policy and the expectations that public health can have about the role of political science, are often seen as an obstacle to collaboration between experts in these two areas. Thus, promising and practical research avenues are proposed along with strategies to strengthen and develop them. Considering the interdisciplinary and intersectoral nature of population health, it is important to create a critical mass of researchers interested in the health of populations and in healthy public policy that can thrive working at the junction of political science and public health. © 2017 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

  15. Prevalence and Distribution of Neurological Disease in a Neurology ...

    African Journals Online (AJOL)

    Uche

    Annals of Medical and Health Sciences Research – January 2011 – Vol. 1 N0.1. >>>63<<<. Prevalence and Distribution of Neurological Disease in a. Neurology Clinic in Enugu, Nigeria. Onwuekwe IO* and Ezeala-Adikaibe B*. *Neurology Unit, Department of Medicine,. University of Nigeria Teaching Hospital, Enugu, ...

  16. Introduction to nonlinear science

    CERN Document Server

    Nicolis, G

    1995-01-01

    One of the most unexpected results in science in recent years is that quite ordinary systems obeying simple laws can give rise to complex, nonlinear or chaotic, behavior. In this book, the author presents a unified treatment of the concepts and tools needed to analyze nonlinear phenomena and to outline some representative applications drawn from the physical, engineering, and biological sciences. Some of the interesting topics covered include: dynamical systems with a finite number of degrees of freedom, linear stability analysis of fixed points, nonlinear behavior of fixed points, bifurcation analysis, spatially distributed systems, broken symmetries, pattern formation, and chaotic dynamics. The author makes a special effort to provide a logical connection between ordinary dynamical systems and spatially extended systems, and to balance the emphasis on chaotic behavior and more classical nonlinear behavior. He also develops a statistical approach to complex systems and compares it to traditional deterministi...

  17. A geometric theory for Lévy distributions

    International Nuclear Information System (INIS)

    Eliazar, Iddo

    2014-01-01

    Lévy distributions are of prime importance in the physical sciences, and their universal emergence is commonly explained by the Generalized Central Limit Theorem (CLT). However, the Generalized CLT is a geometry-less probabilistic result, whereas physical processes usually take place in an embedding space whose spatial geometry is often of substantial significance. In this paper we introduce a model of random effects in random environments which, on the one hand, retains the underlying probabilistic structure of the Generalized CLT and, on the other hand, adds a general and versatile underlying geometric structure. Based on this model we obtain geometry-based counterparts of the Generalized CLT, thus establishing a geometric theory for Lévy distributions. The theory explains the universal emergence of Lévy distributions in physical settings which are well beyond the realm of the Generalized CLT

  18. A geometric theory for Lévy distributions

    Science.gov (United States)

    Eliazar, Iddo

    2014-08-01

    Lévy distributions are of prime importance in the physical sciences, and their universal emergence is commonly explained by the Generalized Central Limit Theorem (CLT). However, the Generalized CLT is a geometry-less probabilistic result, whereas physical processes usually take place in an embedding space whose spatial geometry is often of substantial significance. In this paper we introduce a model of random effects in random environments which, on the one hand, retains the underlying probabilistic structure of the Generalized CLT and, on the other hand, adds a general and versatile underlying geometric structure. Based on this model we obtain geometry-based counterparts of the Generalized CLT, thus establishing a geometric theory for Lévy distributions. The theory explains the universal emergence of Lévy distributions in physical settings which are well beyond the realm of the Generalized CLT.

  19. Plasma Science Committee (PLSC) and the Panel on Opportunities in Plasma Science and Technology (OPST)

    International Nuclear Information System (INIS)

    1993-01-01

    The Plasma Science Committee (PLSC) of the National Research Council (NRC) is charged with monitoring the health of the field of plasma science in the United States and identifies and examines both broad and specific issues affecting the field. Regular meetings, teleconferences, briefings from agencies and the scientific community, the formation of study panels to prepare reports, and special symposia are among the mechanisms used by the PLSC to meet its charge. During July 1992, the PLSC sponsored a workshop on nonneutral plasmas in traps. Although no written report on the workshop results, was prepared for public distribution, a summary of highlights was provided to the OPST Subpanel on Nonneutral Plasmas. The PLSC also continued its follow-up briefings and discussions on the results of the results of the report Plasma Processing of materials. Scientific and Technological Opportunities. As a result of these activities, the Committee is now working with the NRC Committee on Atomic, Molecular, and Optical Sciences (CAMOS) to organize a symposium on database needs in plasma processing of materials

  20. A simple algorithm for measuring particle size distributions on an uneven background from TEM images

    DEFF Research Database (Denmark)

    Gontard, Lionel Cervera; Ozkaya, Dogan; Dunin-Borkowski, Rafal E.

    2011-01-01

    Nanoparticles have a wide range of applications in science and technology. Their sizes are often measured using transmission electron microscopy (TEM) or X-ray diffraction. Here, we describe a simple computer algorithm for measuring particle size distributions from TEM images in the presence of a...... application to images of heterogeneous catalysts is presented.......Nanoparticles have a wide range of applications in science and technology. Their sizes are often measured using transmission electron microscopy (TEM) or X-ray diffraction. Here, we describe a simple computer algorithm for measuring particle size distributions from TEM images in the presence...

  1. The impact of human-technology cooperation and distributed cognition in forensic science: biasing effects of AFIS contextual information on human experts.

    Science.gov (United States)

    Dror, Itiel E; Wertheim, Kasey; Fraser-Mackenzie, Peter; Walajtys, Jeff

    2012-03-01

    Experts play a critical role in forensic decision making, even when cognition is offloaded and distributed between human and machine. In this paper, we investigated the impact of using Automated Fingerprint Identification Systems (AFIS) on human decision makers. We provided 3680 AFIS lists (a total of 55,200 comparisons) to 23 latent fingerprint examiners as part of their normal casework. We manipulated the position of the matching print in the AFIS list. The data showed that latent fingerprint examiners were affected by the position of the matching print in terms of false exclusions and false inconclusives. Furthermore, the data showed that false identification errors were more likely at the top of the list and that such errors occurred even when the correct match was present further down the list. These effects need to be studied and considered carefully, so as to optimize human decision making when using technologies such as AFIS. © 2011 American Academy of Forensic Sciences.

  2. Scaling to diversity: The DERECHOS distributed infrastructure for analyzing and sharing data

    Science.gov (United States)

    Rilee, M. L.; Kuo, K. S.; Clune, T.; Oloso, A.; Brown, P. G.

    2016-12-01

    Integrating Earth Science data from diverse sources such as satellite imagery and simulation output can be expensive and time-consuming, limiting scientific inquiry and the quality of our analyses. Reducing these costs will improve innovation and quality in science. The current Earth Science data infrastructure focuses on downloading data based on requests formed from the search and analysis of associated metadata. And while the data products provided by archives may use the best available data sharing technologies, scientist end-users generally do not have such resources (including staff) available to them. Furthermore, only once an end-user has received the data from multiple diverse sources and has integrated them can the actual analysis and synthesis begin. The cost of getting from idea to where synthesis can start dramatically slows progress. In this presentation we discuss a distributed computational and data storage framework that eliminates much of the aforementioned cost. The SciDB distributed array database is central as it is optimized for scientific computing involving very large arrays, performing better than less specialized frameworks like Spark. Adding spatiotemporal functions to the SciDB creates a powerful platform for analyzing and integrating massive, distributed datasets. SciDB allows Big Earth Data analysis to be performed "in place" without the need for expensive downloads and end-user resources. Spatiotemporal indexing technologies such as the hierarchical triangular mesh enable the compute and storage affinity needed to efficiently perform co-located and conditional analyses minimizing data transfers. These technologies automate the integration of diverse data sources using the framework, a critical step beyond current metadata search and analysis. Instead of downloading data into their idiosyncratic local environments, end-users can generate and share data products integrated from diverse multiple sources using a common shared environment

  3. Growth of Environmental Science at the NSLS

    International Nuclear Information System (INIS)

    Northrup, P.; Lanzirotti, A.; Celestian, A.

    2007-01-01

    In the 25 years since the National Synchrotron Light Source (NSLS) began operations, synchrotron 'user facilities' have had a growing impact on research in molecular environmental science (MES). For example, synchrotron-based analytical techniques have allowed researchers to determine the molecular-level speciation of environmentally relevant elements and evaluate their spatial distribution and phase association at very low concentration levels (low parts per million) with micrometer or nanometer resolution [1]. For the environmental scientist, one of the primary advantages of these synchrotron-based techniques is that samples need not be disturbed or destroyed for study; characterization can often be done in-situ in dilute and heterogeneous natural samples with no need for species separation, pre-concentration, or pre-treatment [2]. Liquids, hydrated solids, and biological samples can also often be directly analyzed, which is of fundamental importance in environmental science for understanding the molecular-scale processes that occur at mineral-water interfaces and in understanding how abiotic and biotic processes are involved in the distribution, mobility and ultimate fate of molecular species in the environment.

  4. Growth of Environmental Science at the NSLS

    Energy Technology Data Exchange (ETDEWEB)

    Northrup,P.; Lanzirotti, A.; Celestian, A.

    2007-01-01

    In the 25 years since the National Synchrotron Light Source (NSLS) began operations, synchrotron 'user facilities' have had a growing impact on research in molecular environmental science (MES). For example, synchrotron-based analytical techniques have allowed researchers to determine the molecular-level speciation of environmentally relevant elements and evaluate their spatial distribution and phase association at very low concentration levels (low parts per million) with micrometer or nanometer resolution [1]. For the environmental scientist, one of the primary advantages of these synchrotron-based techniques is that samples need not be disturbed or destroyed for study; characterization can often be done in-situ in dilute and heterogeneous natural samples with no need for species separation, pre-concentration, or pre-treatment [2]. Liquids, hydrated solids, and biological samples can also often be directly analyzed, which is of fundamental importance in environmental science for understanding the molecular-scale processes that occur at mineral-water interfaces and in understanding how abiotic and biotic processes are involved in the distribution, mobility and ultimate fate of molecular species in the environment.

  5. Publications in biomedical and environmental sciences programs, 1981

    Energy Technology Data Exchange (ETDEWEB)

    Moody, J.B. (comp.)

    1982-07-01

    This bibliography contains 698 references to articles in journals, books, and reports published in the subject area of biomedical and environmental sciences during 1981. There are 520 references to articles published in journals and books and 178 references to reports. Staff members in the Biomedical and Environmental Sciences divisions have other publications not included in this bibliography; for example, theses, book reviews, abstracts published in journals or symposia proceedings, pending journal publications and reports such as monthly, bimonthly, and quarterly progress reports, contractor reports, and reports for internal distribution. This document is sorted by the division, and then alphabetically by author. The sorting by divisions separates the references by subject area in a simple way. The divisions represented in the order that they appear in the bibliography are Analytical Chemistry, Biology, Chemical Technology, Information R and D, Health and Safety Research, Instrumentation and Controls, Computer Sciences, Energy, Engineering Technology, Solid State, Central Management, Operations, and Environmental Sciences. Indexes are provided by author, title, and journal reference.

  6. The Kepler Science Operations Center Pipeline Framework Extensions

    Science.gov (United States)

    Klaus, Todd C.; Cote, Miles T.; McCauliff, Sean; Girouard, Forrest R.; Wohler, Bill; Allen, Christopher; Chandrasekaran, Hema; Bryson, Stephen T.; Middour, Christopher; Caldwell, Douglas A.; hide

    2010-01-01

    The Kepler Science Operations Center (SOC) is responsible for several aspects of the Kepler Mission, including managing targets, generating on-board data compression tables, monitoring photometer health and status, processing the science data, and exporting the pipeline products to the mission archive. We describe how the generic pipeline framework software developed for Kepler is extended to achieve these goals, including pipeline configurations for processing science data and other support roles, and custom unit of work generators that control how the Kepler data are partitioned and distributed across the computing cluster. We describe the interface between the Java software that manages the retrieval and storage of the data for a given unit of work and the MATLAB algorithms that process these data. The data for each unit of work are packaged into a single file that contains everything needed by the science algorithms, allowing these files to be used to debug and evolve the algorithms offline.

  7. Publications in biomedical and environmental sciences programs, 1981

    International Nuclear Information System (INIS)

    Moody, J.B.

    1982-07-01

    This bibliography contains 698 references to articles in journals, books, and reports published in the subject area of biomedical and environmental sciences during 1981. There are 520 references to articles published in journals and books and 178 references to reports. Staff members in the Biomedical and Environmental Sciences divisions have other publications not included in this bibliography; for example, theses, book reviews, abstracts published in journals or symposia proceedings, pending journal publications and reports such as monthly, bimonthly, and quarterly progress reports, contractor reports, and reports for internal distribution. This document is sorted by the division, and then alphabetically by author. The sorting by divisions separates the references by subject area in a simple way. The divisions represented in the order that they appear in the bibliography are Analytical Chemistry, Biology, Chemical Technology, Information R and D, Health and Safety Research, Instrumentation and Controls, Computer Sciences, Energy, Engineering Technology, Solid State, Central Management, Operations, and Environmental Sciences. Indexes are provided by author, title, and journal reference

  8. Teaching earth science

    Science.gov (United States)

    Alpha, Tau Rho; Diggles, Michael F.

    1998-01-01

    This CD-ROM contains 17 teaching tools: 16 interactive HyperCard 'stacks' and a printable model. They are separated into the following categories: Geologic Processes, Earthquakes and Faulting, and Map Projections and Globes. A 'navigation' stack, Earth Science, is provided as a 'launching' place from which to access all of the other stacks. You can also open the HyperCard Stacks folder and launch any of the 16 stacks yourself. In addition, a 17th tool, Earth and Tectonic Globes, is provided as a printable document. Each of the tools can be copied onto a 1.4-MB floppy disk and distributed freely.

  9. IRIS Toxicological Review of Tetrahydrofuran (THF) (Interagency Science Discussion Draft)

    Science.gov (United States)

    EPA is releasing the draft report, Toxicological Review of Tetrahydrofuran, that was distributed to Federal agencies and White House Offices for comment during the Science Discussion step of the iris/process.htm">IRIS Assessment Development Proc...

  10. How Is Science Being Taught? Measuring Evidence-Based Teaching Practices across Undergraduate Science Departments.

    Science.gov (United States)

    Drinkwater, Michael J; Matthews, Kelly E; Seiler, Jacob

    2017-01-01

    While there is a wealth of research evidencing the benefits of active-learning approaches, the extent to which these teaching practices are adopted in the sciences is not well known. The aim of this study is to establish an evidential baseline of teaching practices across a bachelor of science degree program at a large research-intensive Australian university. Our purpose is to contribute to knowledge on the adoption levels of evidence-based teaching practices by faculty within a science degree program and inform our science curriculum review in practical terms. We used the Teaching Practices Inventory (TPI) to measure the use of evidence-based teaching approaches in 129 courses (units of study) across 13 departments. We compared the results with those from a Canadian institution to identify areas in need of improvement at our institution. We applied a regression analysis to the data and found that the adoption of evidence-based teaching practices differs by discipline and is higher in first-year classes at our institution. The study demonstrates that the TPI can be used in different institutional contexts and provides data that can inform practice and policy. © 2017 M. J. Drinkwater et al. CBE—Life Sciences Education © 2017 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  11. Science of science.

    Science.gov (United States)

    Fortunato, Santo; Bergstrom, Carl T; Börner, Katy; Evans, James A; Helbing, Dirk; Milojević, Staša; Petersen, Alexander M; Radicchi, Filippo; Sinatra, Roberta; Uzzi, Brian; Vespignani, Alessandro; Waltman, Ludo; Wang, Dashun; Barabási, Albert-László

    2018-03-02

    Identifying fundamental drivers of science and developing predictive models to capture its evolution are instrumental for the design of policies that can improve the scientific enterprise-for example, through enhanced career paths for scientists, better performance evaluation for organizations hosting research, discovery of novel effective funding vehicles, and even identification of promising regions along the scientific frontier. The science of science uses large-scale data on the production of science to search for universal and domain-specific patterns. Here, we review recent developments in this transdisciplinary field. Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

  12. Science and data science.

    Science.gov (United States)

    Blei, David M; Smyth, Padhraic

    2017-08-07

    Data science has attracted a lot of attention, promising to turn vast amounts of data into useful predictions and insights. In this article, we ask why scientists should care about data science. To answer, we discuss data science from three perspectives: statistical, computational, and human. Although each of the three is a critical component of data science, we argue that the effective combination of all three components is the essence of what data science is about.

  13. A "total parameter estimation" method in the varification of distributed hydrological models

    Science.gov (United States)

    Wang, M.; Qin, D.; Wang, H.

    2011-12-01

    Conventionally hydrological models are used for runoff or flood forecasting, hence the determination of model parameters are common estimated based on discharge measurements at the catchment outlets. With the advancement in hydrological sciences and computer technology, distributed hydrological models based on the physical mechanism such as SWAT, MIKESHE, and WEP, have gradually become the mainstream models in hydrology sciences. However, the assessments of distributed hydrological models and model parameter determination still rely on runoff and occasionally, groundwater level measurements. It is essential in many countries, including China, to understand the local and regional water cycle: not only do we need to simulate the runoff generation process and for flood forecasting in wet areas, we also need to grasp the water cycle pathways and consumption process of transformation in arid and semi-arid regions for the conservation and integrated water resources management. As distributed hydrological model can simulate physical processes within a catchment, we can get a more realistic representation of the actual water cycle within the simulation model. Runoff is the combined result of various hydrological processes, using runoff for parameter estimation alone is inherits problematic and difficult to assess the accuracy. In particular, in the arid areas, such as the Haihe River Basin in China, runoff accounted for only 17% of the rainfall, and very concentrated during the rainy season from June to August each year. During other months, many of the perennial rivers within the river basin dry up. Thus using single runoff simulation does not fully utilize the distributed hydrological model in arid and semi-arid regions. This paper proposed a "total parameter estimation" method to verify the distributed hydrological models within various water cycle processes, including runoff, evapotranspiration, groundwater, and soil water; and apply it to the Haihe river basin in

  14. Distributions of vascular plants in the Czech Republic. Part 4

    Czech Academy of Sciences Publication Activity Database

    Kaplan, Zdeněk; Danihelka, Jiří; Koutecký, P.; Šumberová, Kateřina; Ekrt, L.; Grulich, V.; Řepka, R.; Hroudová, Zdenka; Štěpánková, Jitka; Dvořák, V.; Dančák, M.; Dřevojan, P.; Wild, Jan

    2017-01-01

    Roč. 89, č. 2 (2017), s. 115-201 ISSN 0032-7786 R&D Projects: GA ČR GB14-36079G Institutional support: RVO:67985939 Keywords : distribution * maps * phytogeography Subject RIV: EF - Botanics OBOR OECD: Plant sciences, botany Impact factor: 3.000, year: 2016

  15. Distributions of vascular plants in the Czech Republic. Part 5

    Czech Academy of Sciences Publication Activity Database

    Kaplan, Zdeněk; Danihelka, Jiří; Šumberová, Kateřina; Chrtek, Jindřich; Rotreklová, O.; Ekrt, L.; Štěpánková, Jitka; Taraška, V.; Trávníček, B.; Prančl, Jan; Ducháček, M.; Hroneš, M.; Kobrlová, L.; Horák, D.; Wild, Jan

    2017-01-01

    Roč. 89, č. 4 (2017), s. 333-439 ISSN 0032-7786 R&D Projects: GA ČR GB14-36079G Institutional support: RVO:67985939 Keywords : distribution * maps * phytogeography Subject RIV: EF - Botanics OBOR OECD: Plant sciences, botany Impact factor: 3.000, year: 2016

  16. Data synthesis and display programs for wave distribution function analysis

    Science.gov (United States)

    Storey, L. R. O.; Yeh, K. J.

    1992-01-01

    At the National Space Science Data Center (NSSDC) software was written to synthesize and display artificial data for use in developing the methodology of wave distribution analysis. The software comprises two separate interactive programs, one for data synthesis and the other for data display.

  17. Formal methods and tools for the development of distributed and real time systems : Esprit Project 3096 (SPEC)

    NARCIS (Netherlands)

    Roever, de W.P.; Barringer, H.; Courcoubetis, C.; Gabbay, D.M.; Gerth, R.T.; Jonsson, B.; Pnueli, A.; Reed, M.; Sifakis, J.; Vytopil, J.; Wolper, P.

    1990-01-01

    The Basic Research Action No. 3096, Formal Methods snd Tools for the Development of Distributed and Real Time Systems, is funded in the Area of Computer Science, under the ESPRIT Programme of the European Community. The coordinating institution is the Department of Computing Science, Eindhoven

  18. Primary Science Interview: Science Sparks

    Science.gov (United States)

    Bianchi, Lynne

    2016-01-01

    In this "Primary Science" interview, Lynne Bianchi talks with Emma Vanstone about "Science Sparks," which is a website full of creative, fun, and exciting science activity ideas for children of primary-school age. "Science Sparks" started with the aim of inspiring more parents to do science at home with their…

  19. Examining Science Teachers' Argumentation in a Teacher Workshop on Earthquake Engineering

    Science.gov (United States)

    Cavlazoglu, Baki; Stuessy, Carol

    2018-02-01

    The purpose of this study was to examine changes in the quality of science teachers' argumentation as a result of their engagement in a teacher workshop on earthquake engineering emphasizing distributed learning approaches, which included concept mapping, collaborative game playing, and group lesson planning. The participants were ten high school science teachers from US high schools who elected to attend the workshop. To begin and end the teacher workshop, teachers in small groups engaged in concept mapping exercises with other teachers. Researchers audio-recorded individual teachers' argumentative statements about the inclusion of earthquake engineering concepts in their concept maps, which were then analyzed to reveal the quality of teachers' argumentation. Toulmin's argumentation model formed the framework for designing a classification schema to analyze the quality of participants' argumentative statements. While the analysis of differences in pre- and post-workshop concept mapping exercises revealed that the number of argumentative statements did not change significantly, the quality of participants' argumentation did increase significantly. As these differences occurred concurrently with distributed learning approaches used throughout the workshop, these results provide evidence to support distributed learning approaches in professional development workshop activities to increase the quality of science teachers' argumentation. Additionally, these results support the use of concept mapping as a cognitive scaffold to organize participants' knowledge, facilitate the presentation of argumentation, and as a research tool for providing evidence of teachers' argumentation skills.

  20. Caring Science or Science of Caring.

    Science.gov (United States)

    Turkel, Marian C; Watson, Jean; Giovannoni, Joseph

    2018-01-01

    The concepts caring science and science of caring have different meanings; however, they are often used interchangeably. The purpose of this paper is to present an overview of the synthesis of the scholarly literature on the definitions of the science of caring and caring science and to affirm the authors' perspective relating to the language of caring science. Caring science advances the epistemology and ontology of caring. Ideas related to caring science inquiry are presented, and the authors acknowledge the future of caring science as unitary caring science.

  1. 30th International Symposium on Computer and Information Sciences

    CERN Document Server

    Gelenbe, Erol; Gorbil, Gokce; Lent, Ricardo

    2016-01-01

    The 30th Anniversary of the ISCIS (International Symposium on Computer and Information Sciences) series of conferences, started by Professor Erol Gelenbe at Bilkent University, Turkey, in 1986, will be held at Imperial College London on September 22-24, 2015. The preceding two ISCIS conferences were held in Krakow, Poland in 2014, and in Paris, France, in 2013.   The Proceedings of ISCIS 2015 published by Springer brings together rigorously reviewed contributions from leading international experts. It explores new areas of research and technological development in computer science, computer engineering, and information technology, and presents new applications in fast changing fields such as information science, computer science and bioinformatics.   The topics covered include (but are not limited to) advances in networking technologies, software defined networks, distributed systems and the cloud, security in the Internet of Things, sensor systems, and machine learning and large data sets.

  2. The Role of Distributed Computing in Big Data Science: Case Studies in Forensics and Bioinformatics

    OpenAIRE

    Roscigno, Gianluca

    2016-01-01

    2014 - 2015 The era of Big Data is leading the generation of large amounts of data, which require storage and analysis capabilities that can be only ad- dressed by distributed computing systems. To facilitate large-scale distributed computing, many programming paradigms and frame- works have been proposed, such as MapReduce and Apache Hadoop, which transparently address some issues of distributed systems and hide most of their technical details. Hadoop is curren...

  3. Log-concavity property for some well-known distributions

    Directory of Open Access Journals (Sweden)

    G. R. Mohtashami Borzadaran

    2011-12-01

    Full Text Available Interesting properties and propositions, in many branches of science such as economics have been obtained according to the property of cumulative distribution function of a random variable as a concave function. Caplin and Nalebuff (1988,1989, Bagnoli and Khanna (1989 and Bagnoli and Bergstrom (1989 , 1989, 2005 have discussed the log-concavity property of probability distributions and their applications, especially in economics. Log-concavity concerns twice differentiable real-valued function g whose domain is an interval on extended real line. g as a function is said to be log-concave on the interval (a,b if the function ln(g is a concave function on (a,b. Log-concavity of g on (a,b is equivalent to g'/g being monotone decreasing on (a,b or (ln(g" 6] have obtained log-concavity for distributions such as normal, logistic, extreme-value, exponential, Laplace, Weibull, power function, uniform, gamma, beta, Pareto, log-normal, Student's t, Cauchy and F distributions. We have discussed and introduced the continuous versions of the Pearson family, also found the log-concavity for this family in general cases, and then obtained the log-concavity property for each distribution that is a member of Pearson family. For the Burr family these cases have been calculated, even for each distribution that belongs to Burr family. Also, log-concavity results for distributions such as generalized gamma distributions, Feller-Pareto distributions, generalized Inverse Gaussian distributions and generalized Log-normal distributions have been obtained.

  4. IRIS Toxicological Review of Trichloroacetic Acid (TCA) (Interagency Science Discussion Draft)

    Science.gov (United States)

    EPA is releasing the draft report, Toxicological Review of Trichloroacetic Acid (TCA), that was distributed to Federal agencies and White House Offices for comment during the Science Discussion step of the IRIS Assessment Development ...

  5. Earth Science Literacy: Building Community Consensus

    Science.gov (United States)

    Wysession, M.; Ladue, N.; Budd, D.; Campbell, K.; Conklin, M.; Lewis, G.; Raynolds, R.; Ridky, R.; Ross, R.; Taber, J.; Tewksbury, B.; Tuddenham, P.

    2008-12-01

    During 2008, the Earth Sciences Literacy Initiative (ESLI) constructed a framework of earth science "Big Ideas" and "Supporting Concepts". Following the examples of recent literacy efforts in the ocean, atmosphere and climate research communities, ESLI has distilled the fundamental understandings of the earth science community into a document that all members of the community will be able to refer to when working with educators, policy-makers, the press and members of the general public. This document is currently in draft form for review and will be published for public distribution in 2009. ESLI began with the construction of an organizing committee of a dozen people who represent a wide array of earth science backgrounds. This group then organized and ran two workshops in 2008: a 2-week online content workshop and a 3-day intensive writing workshop. For both workshops, participants were chosen so as to cover the full breadth of earth science related to the solid earth, surficial processes, and fresh-water hydrology. The asynchronous online workshop included 350 scientists and educators participating from around the world and was a powerful way to gather ideas and information while retaining a written record of all interactions. The writing workshop included 35 scientists, educators and agency representatives to codify the extensive input of the online workshop. Since September, 2008, drafts of the ESLI literacy framework have been circulated through many different channels to make sure that the document accurately reflects the current understandings of earth scientists and to ensure that it is widely accepted and adopted by the earth science communities.

  6. NASA's astrophysics archives at the National Space Science Data Center

    Science.gov (United States)

    Vansteenberg, M. E.

    1992-01-01

    NASA maintains an archive facility for Astronomical Science data collected from NASA's missions at the National Space Science Data Center (NSSDC) at Goddard Space Flight Center. This archive was created to insure the science data collected by NASA would be preserved and useable in the future by the science community. Through 25 years of operation there are many lessons learned, from data collection procedures, archive preservation methods, and distribution to the community. This document presents some of these more important lessons, for example: KISS (Keep It Simple, Stupid) in system development. Also addressed are some of the myths of archiving, such as 'scientists always know everything about everything', or 'it cannot possibly be that hard, after all simple data tech's do it'. There are indeed good reasons that a proper archive capability is needed by the astronomical community, the important question is how to use the existing expertise as well as the new innovative ideas to do the best job archiving this valuable science data.

  7. Materials Sciences programs, Fiscal Year 1984

    International Nuclear Information System (INIS)

    1984-09-01

    This report provides a convenient compilation and index of the DOE Materials Sciences Division programs. The report is divided into six sections. Section A contains all Laboratory projects, Section B has all contract research projects, Section C has projects funded under the Small Business Innovation Research program, Section D has information on DOE collaborative research centers, Section E gives distributions of funding, and Section F has various indexes

  8. Learning style preferences of Australian health science students.

    Science.gov (United States)

    Zoghi, Maryam; Brown, Ted; Williams, Brett; Roller, Louis; Jaberzadeh, Shapour; Palermo, Claire; McKenna, Lisa; Wright, Caroline; Baird, Marilyn; Schneider-Kolsky, Michal; Hewitt, Lesley; Sim, Jenny; Holt, Tangerine-Ann

    2010-01-01

    It has been identified that health science student groups may have distinctive learning needs. By university educators' and professional fieldwork supervisors' being aware of the unique learning style preferences of health science students, they have the capacity to adjust their teaching approaches to best fit with their students' learning preferences. The purpose of this study was to investigate the learning style preferences of a group of Australian health science students enrolled in 10 different disciplines. The Kolb Learning Style Inventory was distributed to 2,885 students enrolled in dietetics and nutrition, midwifery, nursing, occupational therapy, paramedics, pharmacy, physiotherapy, radiation therapy, radiography, and social work at one Australian university. A total of 752 usable survey forms were returned (response rate 26%). The results indicated the converger learning style to be most frequently preferred by health science students and that the diverger and accommodator learning styles were the least preferred. It is recommended that educators take learning style preferences of health science students into consideration when planning, implementing, and evaluating teaching activities, such as including more problem-solving activities that fit within the converger learning style.

  9. What's science? Where's science? Science journalism in German print media.

    Science.gov (United States)

    Summ, Annika; Volpers, Anna-Maria

    2016-10-01

    This article examines the current state of science coverage in German print media. It deals with the following questions: (1) how the main characteristics of science journalism can be described, (2) whether there is a difference between various scientific fields, and (3) how different definitions of science journalism lead to differing findings. Two forms of science coverage were analyzed in a standardized, two-part content analysis of German newspapers (N = 1730 and N = 1640). The results show a significant difference between a narrow and a broad definition of science journalism. In the classic understanding, science journalism is prompted by scientific events and is rather noncritical. Science coverage in a broad sense is defined by a wider range of journalistic styles, driven by non-scientific events, and with a focus on the statements of scientific experts. Furthermore, the study describes the specific role of the humanities and social sciences in German science coverage. © The Author(s) 2015.

  10. An Overview of the Challenges with and Proposed Solutions for the Ingest and Distribution Processes For Airborne Data Management

    Science.gov (United States)

    Northup, E. A.; Beach, A. L., III; Early, A. B.; Kusterer, J.; Quam, B.; Wang, D.; Chen, G.

    2015-12-01

    The current data management practices for NASA airborne field projects have successfully served science team data needs over the past 30 years to achieve project science objectives, however, users have discovered a number of issues in terms of data reporting and format. The ICARTT format, a NASA standard since 2010, is currently the most popular among the airborne measurement community. Although easy for humans to use, the format standard is not sufficiently rigorous to be machine-readable, and there lacks a standard variable naming convention among the many airborne measurement variables. This makes data use and management tedious and resource intensive, and also create problems in Distributed Active Archive Center (DAAC) data ingest procedures and distribution. Further, most DAACs use metadata models that concentrate on satellite data observations, making them less prepared to deal with airborne data. There also exists a substantial amount of airborne data distributed by websites designed for science team use that are less friendly to users unfamiliar with operations of airborne field studies. A number of efforts are underway to help overcome the issues with airborne data discovery and distribution. The ICARTT Refresh Earth Science Data Systems Working Group (ESDSWG) was established to enable a platform for atmospheric science data providers, users, and data managers to collaborate on developing new criteria for the file format in an effort to enhance airborne data usability. In addition, the NASA Langley Research Center Atmospheric Science Data Center (ASDC) has developed the Toolsets for Airborne Data (TAD) to provide web-based tools and centralized access to airborne in situ measurements of atmospheric composition. This presentation will discuss the aforementioned challenges and attempted solutions in an effort to demonstrate how airborne data management can be improved to streamline data ingest and discoverability to a broader user community.

  11. Proceedings of workshop on distributed computing and network

    International Nuclear Information System (INIS)

    Abe, F.; Yuasa, F.

    1993-02-01

    'Distributed Computing and Network' is one of hot topics in the field of computing. Recent progress in the computer technology is providing new paradigm for computing even in High Energy Physics. Particularly the workstation based computer system is opening new active field of computer application to sciences. The major topics discussed in this symposium are distributed computing and wide area research network for domestic and international link. The two days symposium provided so enough topics to foresee the next direction of our computing environment. 70 people have got together to discuss on these interesting thema as well as information exchange on the computer technologies. (J.P.N.)

  12. The Open Science Grid

    Energy Technology Data Exchange (ETDEWEB)

    Pordes, Ruth; /Fermilab; Kramer, Bill; Olson, Doug; / /LBL, Berkeley; Livny, Miron; Roy, Alain; /Wisconsin U., Madison; Avery, Paul; /Florida U.; Blackburn, Kent; /Caltech; Wenaus, Torre; /Brookhaven; Wurthwein, Frank; /UC, San Diego; Gardner, Rob; Wilde, Mike; /Chicago U. /Indiana U.

    2007-06-01

    The Open Science Grid (OSG) provides a distributed facility where the Consortium members provide guaranteed and opportunistic access to shared computing and storage resources. OSG provides support for and evolution of the infrastructure through activities that cover operations, security, software, troubleshooting, addition of new capabilities, and support for existing and engagement with new communities. The OSG SciDAC-2 project provides specific activities to manage and evolve the distributed infrastructure and support its use. The innovative aspects of the project are the maintenance and performance of a collaborative (shared & common) petascale national facility over tens of autonomous computing sites, for many hundreds of users, transferring terabytes of data a day, executing tens of thousands of jobs a day, and providing robust and usable resources for scientific groups of all types and sizes. More information can be found at the OSG web site: www.opensciencegrid.org.

  13. What can Citizen Science do for Ocean Science and Ocean Scientists?

    Science.gov (United States)

    Best, M.; Hoeberechts, M.; Mangin, A.; Oggioni, A.; Orcutt, J. A.; Parrish, J.; Pearlman, J.; Piera, J.; Tagliolato, P.

    2016-12-01

    The ocean represents over 70% of our planet's surface area, over 90% of the living space. Humans are not marine creatures, we therefore have fundamentally not built up knowledge of the ocean in the same way we have on land. The more we learn about the ocean, the more we understand it is the regulatory engine of our planet…How do we catch up? Answers to this question will need to come from many quarters; A powerful and strategic option to complement existing observation programs and infrastructure is Citizen Science. There has been significant and relevant discussion of the importance of Citizen Science to citizens and stakeholders. The missing effective question is sometimes what is the potential of citizen science for scientists? The answers for both scientists and society are: spatial coverage, remote locations, temporal coverage, event response, early detection of harmful processes, sufficient data volume for statistical analysis and identification of outliers, integrating local knowledge, data access in exchange for analysis (e.g. with industry) and cost-effective monitoring systems. Citizens can be involved in: instrument manufacture and maintenance, instrument deployment/sample collection, data collection and transmission, data analysis, data validation/verification, and proposals of new topics of research. Such opportunities are balanced by concern on the part of scientists about the quality, the consistency and the reliability of citizen observations and analyses. Experience working with citizen science groups continues to suggest that with proper training and mentoring, these issues can be addressed, understanding both benefits and limitations. How to do it- implementation and maintenance of citizen science: How to recruit, engage, train, and maintain Citizen Scientists. Data systems for acquisition, assessment, access, analysis, and visualisation of distributed data sources. Tools/methods for acquiring observations: Simple instruments, Smartphone Apps

  14. Distribution of diffusion times determined by fluorescence (lifetime) correlation spectroscopy

    Czech Academy of Sciences Publication Activity Database

    Pánek, Jiří; Loukotová, Lenka; Hrubý, Martin; Štěpánek, Petr

    2018-01-01

    Roč. 51, č. 8 (2018), s. 2796-2804 ISSN 0024-9297 R&D Projects: GA MŠk(CZ) LO1507 Institutional support: RVO:61389013 Keywords : polymer solution * fluorescence correlation spectroscopy * diffusion time distribution Subject RIV: CD - Macromolecular Chemistry OBOR OECD: Polymer science Impact factor: 5.835, year: 2016

  15. Exploring science teachers' perceptions of experimentation: implications for restructuring school practical work

    Science.gov (United States)

    Wei, Bing; Li, Xiaoxiao

    2017-09-01

    It is commonly recognised that practical work has a distinctive and central role in science teaching and learning. Although a large number of studies have addressed the definitions, typologies, and purposes of practical work, few have consulted practicing science teachers. This study explored science teachers' perceptions of experimentation for the purpose of restructuring school practical work in view of science practice. Qualitative interviews were conducted with 87 science teachers at the secondary school level. In the interviews, science teachers were asked to make a comparison between students' experiments and scientific experiments. Eight dimensions of experimentation were generated from the qualitative data analysis, and the distributions of these eight dimensions between the two types of experiments were compared and analysed. An ideal model of practical work was suggested for restructuring practical work at the secondary school level, and some issues related to the effective enactment of practical work were discussed.

  16. Computational Science in Armenia (Invited Talk)

    Science.gov (United States)

    Marandjian, H.; Shoukourian, Yu.

    This survey is devoted to the development of informatics and computer science in Armenia. The results in theoretical computer science (algebraic models, solutions to systems of general form recursive equations, the methods of coding theory, pattern recognition and image processing), constitute the theoretical basis for developing problem-solving-oriented environments. As examples can be mentioned: a synthesizer of optimized distributed recursive programs, software tools for cluster-oriented implementations of two-dimensional cellular automata, a grid-aware web interface with advanced service trading for linear algebra calculations. In the direction of solving scientific problems that require high-performance computing resources, examples of completed projects include the field of physics (parallel computing of complex quantum systems), astrophysics (Armenian virtual laboratory), biology (molecular dynamics study of human red blood cell membrane), meteorology (implementing and evaluating the Weather Research and Forecast Model for the territory of Armenia). The overview also notes that the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia has established a scientific and educational infrastructure, uniting computing clusters of scientific and educational institutions of the country and provides the scientific community with access to local and international computational resources, that is a strong support for computational science in Armenia.

  17. The Maryland Amphibian and Reptile Atlas: A Volunteer-Based Distributional Survey

    Directory of Open Access Journals (Sweden)

    Heather R. Cunningham

    2012-01-01

    Full Text Available Declines of amphibian and reptile populations are well documented. Yet a lack of understanding of their distribution may hinder conservation planning for these species. The Maryland Amphibian and Reptile Atlas project (MARA was launched in 2010. This five-year, citizen science project will document the distribution of the 93 amphibian and reptile species in Maryland. During the 2010 and 2011 field seasons, 488 registered MARA volunteers collected 13,919 occurrence records that document 85 of Maryland's amphibian and reptile species, including 19 frog, 20 salamander, five lizard, 25 snake, and 16 turtle species. Thirteen of these species are of conservation concern in Maryland. The MARA will establish a baseline by which future changes in the distribution of populations of native herpetofauna can be assessed as well as provide information for immediate management actions for rare and threatened species. As a citizen science project it has the added benefit of educating citizens about native amphibian and reptile diversity and its ecological benefits—an important step in creating an informed society that actively participates in the long-term conservation of Maryland's nature heritage.

  18. NASA's Information Power Grid: Large Scale Distributed Computing and Data Management

    Science.gov (United States)

    Johnston, William E.; Vaziri, Arsi; Hinke, Tom; Tanner, Leigh Ann; Feiereisen, William J.; Thigpen, William; Tang, Harry (Technical Monitor)

    2001-01-01

    Large-scale science and engineering are done through the interaction of people, heterogeneous computing resources, information systems, and instruments, all of which are geographically and organizationally dispersed. The overall motivation for Grids is to facilitate the routine interactions of these resources in order to support large-scale science and engineering. Multi-disciplinary simulations provide a good example of a class of applications that are very likely to require aggregation of widely distributed computing, data, and intellectual resources. Such simulations - e.g. whole system aircraft simulation and whole system living cell simulation - require integrating applications and data that are developed by different teams of researchers frequently in different locations. The research team's are the only ones that have the expertise to maintain and improve the simulation code and/or the body of experimental data that drives the simulations. This results in an inherently distributed computing and data management environment.

  19. Introduction to probability and statistics for science, engineering, and finance

    CERN Document Server

    Rosenkrantz, Walter A

    2008-01-01

    Data Analysis Orientation The Role and Scope of Statistics in Science and Engineering Types of Data: Examples from Engineering, Public Health, and Finance The Frequency Distribution of a Variable Defined on a Population Quantiles of a Distribution Measures of Location (Central Value) and Variability Covariance, Correlation, and Regression: Computing a Stock's Beta Mathematical Details and Derivations Large Data Sets Probability Theory Orientation Sample Space, Events, Axioms of Probability Theory Mathematical Models of Random Sampling Conditional Probability and Baye

  20. Temporal distribution of suicide mortality: A systematic review.

    Science.gov (United States)

    Galvão, Pauliana Valéria Machado; Silva, Hugo Rafael Souza E; Silva, Cosme Marcelo Furtado Passos da

    2018-03-01

    suicide is a problem with world impact and the leading cause of premature deaths. The study of its distribution over time can bring a changed understanding of parameters attributed to, and the prevention of, suicide. to identify the temporal pattern of suicide by systematic review. Pubmed (Medline), LILACS, Virtual Health Library (VHL), Science Direct and Scopus (Elsevier), Web of Science (Thomson Reuters) and PsyNET (APA) were searched, using suicide-related descriptors and terms, for observational epidemiological studies of the temporal distribution of suicide. The review protocol was registered in PROSPERO (CRD42016038470). The lack of uniformity in reporting or standardisation of methodology in the studies selected, hindered comparison of populations with similar socioeconomic and cultural profiles, considerably limiting the scope of the results of this review. forty-five studies from 26 different countries were included in this review. Clear seasonal patterns were observed by day of the week, month, season and age-period-cohort effects. Few studies studied by trend, time of day or day of the month. the review findings provide further evidence of substantial temporal patterns influenced by geographic, climatic and social conditions. Copyright © 2017 Elsevier B.V. All rights reserved.

  1. WFIRST: User and mission support at ISOC - IPAC Science Operations Center

    Science.gov (United States)

    Akeson, Rachel; Armus, Lee; Bennett, Lee; Colbert, James; Helou, George; Kirkpatrick, J. Davy; Laine, Seppo; Meshkat, Tiffany; Paladini, Roberta; Ramirez, Solange; Wang, Yun; Xie, Joan; Yan, Lin

    2018-01-01

    The science center for WFIRST is distributed between the Goddard Space Flight Center, the Infrared Processing and Analysis Center (IPAC) and the Space Telescope Science Institute (STScI). The main functions of the IPAC Science Operations Center (ISOC) are:* Conduct the GO, archival and theory proposal submission and evaluation process* Support the coronagraph instrument, including observation planning, calibration and data processing pipeline, generation of data products, and user support* Microlensing survey data processing pipeline, generation of data products, and user support* Community engagement including conferences, workshops and general support of the WFIRST exoplanet communityWe will describe the components planned to support these functions and the community of WFIRST users.

  2. Evolving NASA's Earth Science Data Systems

    Science.gov (United States)

    Walter, J.; Behnke, J.; Murphy, K. J.; Lowe, D. R.

    2013-12-01

    NASA's Earth Science Data and Information System Project (ESDIS) is charged with managing, maintaining, and evolving NASA's Earth Observing System Data and Information System (EOSDIS) and is responsible for processing, archiving, and distributing NASA Earth science data. The system supports a multitude of missions and serves diverse science research and other user communities. Keeping up with ever-changing information technology and figuring out how to leverage those changes across such a large system in order to continuously improve and meet the needs of a diverse user community is a significant challenge. Maintaining and evolving the system architecture and infrastructure is a continuous and multi-layered effort. It requires a balance between a "top down" management paradigm that provides a coherent system view and maintaining the managerial, technological, and functional independence of the individual system elements. This presentation will describe some of the key elements of the current system architecture, some of the strategies and processes we employ to meet these challenges, current and future challenges, and some ideas for meeting those challenges.

  3. A Survey on Distributed Filtering and Fault Detection for Sensor Networks

    Directory of Open Access Journals (Sweden)

    Hongli Dong

    2014-01-01

    Full Text Available In recent years, theoretical and practical research on large-scale networked systems has gained an increasing attention from multiple disciplines including engineering, computer science, and mathematics. Lying in the core part of the area are the distributed estimation and fault detection problems that have recently been attracting growing research interests. In particular, an urgent need has arisen to understand the effects of distributed information structures on filtering and fault detection in sensor networks. In this paper, a bibliographical review is provided on distributed filtering and fault detection problems over sensor networks. The algorithms employed to study the distributed filtering and detection problems are categorised and then discussed. In addition, some recent advances on distributed detection problems for faulty sensors and fault events are also summarized in great detail. Finally, we conclude the paper by outlining future research challenges for distributed filtering and fault detection for sensor networks.

  4. Science Fiction and Science Education.

    Science.gov (United States)

    Cavanaugh, Terence

    2002-01-01

    Uses science fiction films such as "Jurassic Park" or "Anaconda" to teach science concepts while fostering student interest. Advocates science fiction as a teaching tool to improve learning and motivation. Describes how to use science fiction in the classroom with the sample activity Twister. (YDS)

  5. Rural science education as social justice

    Science.gov (United States)

    Eppley, Karen

    2017-03-01

    What part can science education play in the dismantling of obstacles to social justice in rural places? In this Forum contribution, I use "Learning in and about Rural Places: Connections and Tensions Between Students' Everyday Experiences and Environmental Quality Issues in their Community"(Zimmerman and Weible 2016) to explicitly position rural education as a project of social justice that seeks full participatory parity for rural citizens. Fraser's (2009) conceptualization of social justice in rural education requires attention to the just distribution of resources, the recognition of the inherent capacities of rural people, and the right to equal participation in democratic processes that lead to opportunities to make decisions affecting local, regional, and global lives. This Forum piece considers the potential of place-based science education to contribute to this project.

  6. Think Scientifically: The NASA Solar Dynamics Observatory's Elementary Science Literacy Program

    Science.gov (United States)

    Van Norden, Wendy M.

    2013-07-01

    The pressure to focus on math and reading at the elementary level has increased in recent years. As a result, science education has taken a back seat in elementary classrooms. The Think Scientifically book series provides a way for science to easily integrate with existing math and reading curriculum. This story-based science literature program integrates a classic storybook format with solar science concepts, to make an educational product that meets state literacy standards. Each story is accompanied by hands-on labs and activities that teachers can easily conduct in their classrooms with minimal training and materials, as well as math and language arts extensions. These books are being distributed through teacher workshops and conferences, and are available free at http://sdo.gsfc.nasa.gov/epo/educators/thinkscientifically.php.

  7. Using HIPPO Data for Formal and Informal Science Education

    Science.gov (United States)

    Rockwell, A.; Hatheway, B.; Zondlo, M. A.

    2012-12-01

    The HIAPER Pole-to-Pole Observations (HIPPO) field project recently concluded its mission to map greenhouse gases and black carbon from the Arctic to the Antarctic using the NSF/NCAR Gulfstream V. HIPPO resulted in visually-rich and easy-to-understand altitude/latitude curtain plots of several trace gases and black carbon, from five seasons during 2009-2011. The data and curtain plots are available for both formal and informal science education to support the instruction of atmospheric science and Earth systems. Middle and high school activities have been developed using these data and curtain plots, and an undergraduate course based on HIPPO data - Global Air Pollution - is offered at Princeton University. The visually stimulating curtain plots are unique in that a wide range of people can comprehend them because they provide an easy-to-understand picture of the global distribution of chemical species for non-scientists or beginning users, while also displaying valuable detailed information for the advanced viewer. The plots are a powerful graphical tool that can be used to communicate climate science because they illustrate the concepts of how trace gas distributions are linked to the large-scale dynamics of the Earth; show seasonal changes in distribution and concentrations; and use the same display format for each tracer. In order to connect people to the data, a multi-faceted and engaging public information program and supporting educational materials for HIPPO were developed. These provided a unique look into global field research and included social media platforms such as Facebook and Twitter; a range of videos from simple motion graphics to detailed narratives; both printed and online written materials; and mass-media publications.

  8. Preservice Science Teachers' Science Teaching Orientations and Beliefs about Science

    Science.gov (United States)

    Kind, Vanessa

    2016-01-01

    This paper offers clarification of science teacher orientations as a potential component of pedagogical content knowledge. Science teaching orientations and beliefs about science held by 237 preservice science teachers were gathered via content-specific vignettes and questionnaire, respectively, prior to participation in a UK-based teacher…

  9. Formative science and indicial science: epistemological proposal for information science

    Directory of Open Access Journals (Sweden)

    Eliany Alvarenga de Araújo

    2006-07-01

    Full Text Available Epistemological reflections on the Information Science as scientific field that if structure in the context of modern science, in theoretical and methodological terms and technologies of the information in applied terms. Such configuration made possible the sprouting of this science; however we consider that the same one will not guarantee to this science the full development as field of consistent and modern knowledge. Modern Science, while scientific practical vision and meets depleted and the information technologies are only auto-regulated mechanisms that function according to principles of automatisms. To leave of these considerations we propols the concept of Formative Science (Bachelard, 1996 and the Indiciario Paradigm (1991 with epistemological basis for the Information Science. The concept of formative science if a base on the principles of tree states of the scientific spirit and the psychological condition of the scientific progress and the indiciario paradigm it considers the intuição (empirical and rational as methodological base to make it scientific.

  10. Gender Stereotypes in Science Education Resources: A Visual Content Analysis.

    Science.gov (United States)

    Kerkhoven, Anne H; Russo, Pedro; Land-Zandstra, Anne M; Saxena, Aayush; Rodenburg, Frans J

    2016-01-01

    More men are studying and working in science fields than women. This could be an effect of the prevalence of gender stereotypes (e.g., science is for men, not for women). Aside from the media and people's social lives, such stereotypes can also occur in education. Ways in which stereotypes are visible in education include the use of gender-biased visuals, language, teaching methods, and teachers' attitudes. The goal of this study was to determine whether science education resources for primary school contained gender-biased visuals. Specifically, the total number of men and women depicted, and the profession and activity of each person in the visuals were noted. The analysis showed that there were more men than women depicted with a science profession and that more women than men were depicted as teachers. This study shows that there is a stereotypical representation of men and women in online science education resources, highlighting the changes needed to create a balanced representation of men and women. Even if the stereotypical representation of men and women in science is a true reflection of the gender distribution in science, we should aim for a more balanced representation. Such a balance is an essential first step towards showing children that both men and women can do science, which will contribute to more gender-balanced science and technology fields.

  11. Materials Sciences programs, fiscal year 1986

    International Nuclear Information System (INIS)

    1986-09-01

    Purpose of this report is to provide a convenient compilation and index of the DOE Materials Sciences Division programs. The report is divided into six sections. Section A contains all Laboratory projects, Section B has all contract research projects, Section C has projects funded under the Small Business Innovation Research Program, Sections D and E have information on DOE collaborative research centers, Section F gives distribution of funding, and Section G has various indexes

  12. Micro-PIXE in plant sciences

    International Nuclear Information System (INIS)

    Mesjasz-Przybylowicz, J.; Przybylowicz, W.J.

    2013-01-01

    Full text: Studies of the role played by elements in fundamental processes in physiology, nutrition, elemental deficiency and toxicity as well as environmental pollution require accurate, quantitative methods with good spatial resolution. the problem of proper measurements of elemental balances and elemental transfers between various levels of biological organisation (from abiotic to biotic systems; along the food chains; within organs and cells) becomes essential for understanding the mechanisms influencing the selection, interaction, distribution and transport of elements. Highly sensitive techniques for bulk elemental analysis are mostly used in these investigations. These techniques usually offer adequate sensitivity, but without spatial resolution. On the other hand, advanced studies of elemental distribution at a cellular level are mostly conducted using techniques with high spatial resolution, but low sensitivity. Ideally, these studies should be conducted on organs and tissues of sizes as far down as the cellular and sub-cellular level. This applies to e.g. future directions in ionomics and metallomics and opens up new, exciting possibilities of studies of trace metal role. The micro-PIXE has been applied in plant sciences for more than thirty years and has reached a high level of maturity. This is one of the few microanalytical, multielemental techniques capable of quantitative studies of elemental distribution at ppm level with with ability to perform quantitative elemental mapping and easy quantification of data extracted from selected micro-areas. Preparation of biological specimens is undoubtedly the crucial and most difficult part of analysis, and only cryotechniques are recommended presently for ali types of microanalytical studies. Established sample preparation protocols will be presented. Most of results are obtained for cryofixed and freeze-dried material but analysis of samples in frozen-hydrated state brings important advantage. Recent

  13. Distributed Geant4 simulation in medical and space science applications using DIANE framework and the GRID

    CERN Document Server

    Moscicki, J T; Mantero, A; Pia, M G

    2003-01-01

    Distributed computing is one of the most important trends in IT which has recently gained significance for large-scale scientific applications. Distributed analysis environment (DIANE) is a R&D study, focusing on semiinteractive parallel and remote data analysis and simulation, which has been conducted at CERN. DIANE provides necessary software infrastructure for parallel scientific applications in the master-worker model. Advanced error recovery policies, automatic book-keeping of distributed jobs and on-line monitoring and control tools are provided. DIANE makes a transparent use of a number of different middleware implementations such as load balancing service (LSF, PBS, GRID Resource Broker, Condor) and security service (GSI, Kerberos, openssh). A number of distributed Geant 4 simulations have been deployed and tested, ranging from interactive radiotherapy treatment planning using dedicated clusters in hospitals, to globally-distributed simulations of astrophysics experiments using the European data g...

  14. Everyday science & science every day: Science-related talk & activities across settings

    Science.gov (United States)

    Zimmerman, Heather

    To understand the development of science-related thinking, acting, and learning in middle childhood, I studied youth in schools, homes, and other neighborhood settings over a three-year period. The research goal was to analyze how multiple everyday experiences influence children's participation in science-related practices and their thinking about science and scientists. Ethnographic and interaction analysis methodologies were to study the cognition and social interactions of the children as they participated in activities with peers, family, and teachers (n=128). Interviews and participant self-documentation protocols elucidated the participants' understandings of science. An Everyday Expertise (Bell et al., 2006) theoretical framework was employed to study the development of science understandings on three analytical planes: individual learner, social groups, and societal/community resources. Findings came from a cross-case analysis of urban science learners and from two within-case analyses of girls' science-related practices as they transitioned from elementary to middle school. Results included: (1) children participated actively in science across settings---including in their homes as well as in schools, (2) children's interests in science were not always aligned to the school science content, pedagogy, or school structures for participation, yet children found ways to engage with science despite these differences through crafting multiple pathways into science, (3) urban parents were active supporters of STEM-related learning environments through brokering access to social and material resources, (4) the youth often found science in their daily activities that formal education did not make use of, and (5) children's involvement with science-related practices can be developed into design principles to reach youth in culturally relevant ways.

  15. Wind, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Meridional

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave...

  16. Wind, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Modulus

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave...

  17. Ekman Upwelling, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data. This data begins with wind velocity...

  18. Collaborative Metadata Curation in Support of NASA Earth Science Data Stewardship

    Science.gov (United States)

    Sisco, Adam W.; Bugbee, Kaylin; le Roux, Jeanne; Staton, Patrick; Freitag, Brian; Dixon, Valerie

    2018-01-01

    Growing collection of NASA Earth science data is archived and distributed by EOSDIS’s 12 Distributed Active Archive Centers (DAACs). Each collection and granule is described by a metadata record housed in the Common Metadata Repository (CMR). Multiple metadata standards are in use, and core elements of each are mapped to and from a common model – the Unified Metadata Model (UMM). Work done by the Analysis and Review of CMR (ARC) Team.

  19. Satellite stories: capturing professional experiences of academic health sciences librarians working in delocalized health sciences programs.

    Science.gov (United States)

    Phinney, Jackie; Horsman, Amanda Rose

    2018-01-01

    Health sciences training programs have progressively expanded onto satellite campuses, allowing students the opportunity to learn in communities away from an academic institution's main campus. This expansion has encouraged a new role for librarians to assume, in that a subset of health sciences librarians identify as "satellite librarians" who are permanently located at a distance from the main campus. Due to the unique nature of this role and lack of existing data on the topic, the authors investigated the experiences and perceptions of this unique group of information professionals. An electronic survey was distributed to health sciences librarians via two prominent North American email discussion lists. Questions addressed the librarians' demographics, feelings of social inclusion, technological support, autonomy, professional support, and more. Eighteen surveys were analyzed. While several respondents stated that they had positive working relationships with colleagues, many cited issues with technology, scheduling, and lack of consideration as barriers to feeling socially included at both the parent and local campuses. Social inclusion, policy creation, and collection management issues were subject to their unique situations and their colleagues' perceptions of their roles as satellite librarians. The results from this survey suggest that the role of the academic health sciences librarian at the satellite campus needs to be clearly communicated and defined. This, in turn, will enhance the experience for the librarian and provide better service to the client.

  20. Management Science/Industrial Engineering Techniques to Reduce Food Costs.

    Science.gov (United States)

    Greenberg, Murray

    This paper examines the contributions of Industrial Engineering and Management Science toward reduction in the cost of production and distribution of food. Food processing firms were requested to respond to a questionnaire which asked for examples of their use of various operations research tools and information on the number of operations…

  1. Neutron Science TeraGrid Gateway

    International Nuclear Information System (INIS)

    Lynch, Vickie E.; Chen, Meili; Cobb, John W.; Kohl, James Arthur; Miller, Stephen D.; Speirs, David A.; Vazhkudai, Sudharshan S.

    2010-01-01

    The unique contributions of the Neutron Science TeraGrid Gateway (NSTG) are the connection of national user facility instrument data sources to the integrated cyberinfrastructure of the National Science FoundationTeraGrid and the development of a neutron science gateway that allows neutron scientists to use TeraGrid resources to analyze their data, including comparison of experiment with simulation. The NSTG is working in close collaboration with the Spallation Neutron Source (SNS) at Oak Ridge as their principal facility partner. The SNS is a next-generation neutron source. It has completed construction at a cost of $1.4 billion and is ramping up operations. The SNS will provide an order of magnitude greater flux than any previous facility in the world and will be available to all of the nation's scientists, independent of funding source, on a peer-reviewed merit basis. With this new capability, the neutron science community is facing orders of magnitude larger data sets and is at a critical point for data analysis and simulation. There is a recognized need for new ways to manage and analyze data to optimize both beam time and scientific output. The TeraGrid is providing new capabilities in the gateway for simulations using McStas and a fitting service on distributed TeraGrid resources to improved turnaround. NSTG staff are also exploring replicating experimental data in archival storage. As part of the SNS partnership, the NSTG provides access to gateway support, cyberinfrastructure outreach, community development, and user support for the neutron science community. This community includes not only SNS staff and users but extends to all the major worldwide neutron scattering centers.

  2. AMS data production facilities at science operations center at CERN

    Science.gov (United States)

    Choutko, V.; Egorov, A.; Eline, A.; Shan, B.

    2017-10-01

    The Alpha Magnetic Spectrometer (AMS) is a high energy physics experiment on the board of the International Space Station (ISS). This paper presents the hardware and software facilities of Science Operation Center (SOC) at CERN. Data Production is built around production server - a scalable distributed service which links together a set of different programming modules for science data transformation and reconstruction. The server has the capacity to manage 1000 paralleled job producers, i.e. up to 32K logical processors. Monitoring and management tool with Production GUI is also described.

  3. Environmental Aspects of Tritium Around the Vinca Institute of Nuclear Sciences

    International Nuclear Information System (INIS)

    Miljevic, N.; Sipka, V.

    1995-01-01

    An overview of environmental distribution of tritium around the Institute of Nuclear Sciences Vinca during the period 1988-1994 is presented. Temporal and local variations of the specific tritium variations in precipitation (Usek, Zeleno Brdo), river waters (the Danube, the Sava and Mlaka Creek) as well as atmospheric water vapor are given. Estimates based on precipitation measurements have shown that 6.3 TBq of tritium activity should be released annually into the atmosphere from the Vinca Institute of Nuclear Sciences. (author)

  4. WikiScience: Wikipedia for science and technology

    OpenAIRE

    Aibar Puentes, Eduard

    2015-01-01

    Peer-reviewed Presentació de la conferència "WikiScience: Wikipedia for science and technology". Presentación de la conferencia "WikiScience: Wikipedia for science and technology". Presentation of the conference "Science Wiki: Wikipedia for science and technology".

  5. Multichannel system for angular distribution measurements

    International Nuclear Information System (INIS)

    Burjan, V.; Kroha, V.; Putz, K.

    A description is given of the individual blocks of the spectrometric apparatus used for measuring the angular distribution of particle spectra and excitation functions of (d,p) reactions at an electrostatic accelerator and the U-120 M cyclotron, both operating at the Nuclear Physics Institute of the Czechoslovak Academy of Sciences at Rez. Main attention was devoted to attaining maximum energy resolution at a high measurement efficiency, this by installing 8 independent spectrometric chains allowing simultaneous measurement of angular distribution in 8 points of the beam. The semiconductor detectors were cooled to -40 degC to -60 degC, which significantly reduced the level of inherent detector noise. An energy resolution of 13 keV was attained using Tesla detectors at a particle energy of 11 MeV. A brief review of data processing and software is given. (B.S.)

  6. PanDA Beyond ATLAS : A Scalable Workload Management System For Data Intensive Science

    CERN Document Server

    Borodin, M; The ATLAS collaboration; Jha, S; Golubkov, D; Klimentov, A; Maeno, T; Nilsson, P; Oleynik, D; Panitkin, S; Petrosyan, A; Schovancova, J; Vaniachine, A; Wenaus, T

    2014-01-01

    The LHC experiments are today at the leading edge of large scale distributed data-intensive computational science. The LHC's ATLAS experiment processes data volumes which are particularly extreme, over 140 PB to date, distributed worldwide at over of 120 sites. An important element in the success of the exciting physics results from ATLAS is the highly scalable integrated workflow and dataflow management afforded by the PanDA workload management system, used for all the distributed computing needs of the experiment. The PanDA design is not experiment specific and PanDA is now being extended to support other data intensive scientific applications. PanDA was cited as an example of "a high performance, fault tolerant software for fast, scalable access to data repositories of many kinds" during the "Big Data Research and Development Initiative" announcement, a 200 million USD U.S. government investment in tools to handle huge volumes of digital data needed to spur science and engineering discoveries. In this talk...

  7. Semantic Coherence Facilitates Distributional Learning.

    Science.gov (United States)

    Ouyang, Long; Boroditsky, Lera; Frank, Michael C

    2017-04-01

    Computational models have shown that purely statistical knowledge about words' linguistic contexts is sufficient to learn many properties of words, including syntactic and semantic category. For example, models can infer that "postman" and "mailman" are semantically similar because they have quantitatively similar patterns of association with other words (e.g., they both tend to occur with words like "deliver," "truck," "package"). In contrast to these computational results, artificial language learning experiments suggest that distributional statistics alone do not facilitate learning of linguistic categories. However, experiments in this paradigm expose participants to entirely novel words, whereas real language learners encounter input that contains some known words that are semantically organized. In three experiments, we show that (a) the presence of familiar semantic reference points facilitates distributional learning and (b) this effect crucially depends both on the presence of known words and the adherence of these known words to some semantic organization. Copyright © 2016 Cognitive Science Society, Inc.

  8. Technical note: using Distributed Temperature Sensing for Bowen ratio evaporation measurements

    NARCIS (Netherlands)

    Schilperoort, B.; Coenders, Miriam; Luxemburg, W.M.J.; Jimenez Rodriguez, C.D.; Cisneros Vaca2, C.; Savenije, Hubert

    2017-01-01

    Rapid improvements in the precision and spatial resolution of Distributed Temperature Sensing (DTS) technology now allows its use in hydrological and atmospheric sciences. Introduced by Euser [Hydrol. Earth Syst. Sci., 18, 2021–2032 (2014)] is the use of DTS for measuring the Bowen ratio (BR-DTS),

  9. Overview of NASA's Earth Science Data Systems

    Science.gov (United States)

    McDonald, Kenneth

    2004-01-01

    For over the last 15 years, NASA's Earth Science Enterprise (ESE) has devoted a tremendous effort to design and build the Earth Observing System (EOS) Data and Information System (EOSDIS) to acquire, process, archive and distribute the data of the EOS series of satellites and other ESE missions and field programs. The development of EOSDIS began with an early prototype to support NASA data from heritage missions and progressed through a formal development process to today's system that supports the data from multiple missions including Landsat 7, Terra, Aqua, SORCE and ICESat. The system is deployed at multiple Distributed Active Archive Centers (DAACs) and its current holdings are approximately 4.5 petabytes. The current set of unique users requesting EOS data and information products exceeds 2 million. While EOSDIS has been the centerpiece of NASA's Earth Science Data Systems, other initiatives have augmented the services of EOSDIS and have impacted its evolution and the future directions of data systems within the ESE. ESDIS had an active prototyping effort and has continued to be involved in the activities of the Earth Science Technology Office (ESTO). In response to concerns from the science community that EOSDIS was too large and monolithic, the ESE initiated the Earth Science Information Partners (ESP) Federation Experiment that funded a series of projects to develop specialized products and services to support Earth science research and applications. Last year, the enterprise made 41 awards to successful proposals to the Research, Education and Applications Solutions Network (REASON) Cooperative Agreement Notice to continue and extend the ESP activity. The ESE has also sponsored a formulation activity called the Strategy for the Evolution of ESE Data Systems (SEEDS) to develop approaches and decision support processes for the management of the collection of data system and service providers of the enterprise. Throughout the development of its earth science

  10. Wind, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Meridional

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NASA's Jet Propulsion Laboratory (JPL) distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a...

  11. Wind, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Zonal

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NASA's Jet Propulsion Laboratory (JPL) distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a...

  12. Statistical methods for physical science

    CERN Document Server

    Stanford, John L

    1994-01-01

    This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions, augmenting their material withKey Features* Examines basic probability, including coverage of standard distributions, time s

  13. Collaborative online projects for English language learners in science

    Science.gov (United States)

    Terrazas-Arellanes, Fatima E.; Knox, Carolyn; Rivas, Carmen

    2013-12-01

    This paper summarizes how collaborative online projects (COPs) are used to facilitate science content-area learning for English Learners of Hispanic origin. This is a Mexico-USA partnership project funded by the National Science Foundation. A COP is a 10-week thematic science unit, completely online, and bilingual (Spanish and English) designed to provide collaborative learning experiences with culturally and linguistically relevant science instruction in an interactive and multimodal learning environment. Units are integrated with explicit instructional lessons that include: (a) hands-on and laboratory activities, (b) interactive materials and interactive games with immediate feedback, (c) animated video tutorials, (d) discussion forums where students exchange scientific learning across classrooms in the USA and in Mexico, and (e) summative and formative assessments. Thematic units have been aligned to U.S. National Science Education Standards and are under current revisions for alignment to the Common Core State Standards. Training materials for the teachers have been integrated into the project website to facilitate self-paced and independent learning. Preliminary findings of our pre-experimental study with a sample of 53 students (81 % ELs), distributed across three different groups, resulted in a 21 % statistically significant points increase from pretest to posttest assessments of science content learning, t( 52) = 11.07, p = .000.

  14. rAvis: an R-package for downloading information stored in Proyecto AVIS, a citizen science bird project.

    Science.gov (United States)

    Varela, Sara; González-Hernández, Javier; Casabella, Eduardo; Barrientos, Rafael

    2014-01-01

    Citizen science projects store an enormous amount of information about species distribution, diversity and characteristics. Researchers are now beginning to make use of this rich collection of data. However, access to these databases is not always straightforward. Apart from the largest and international projects, citizen science repositories often lack specific Application Programming Interfaces (APIs) to connect them to the scientific environments. Thus, it is necessary to develop simple routines to allow researchers to take advantage of the information collected by smaller citizen science projects, for instance, programming specific packages to connect them to popular scientific environments (like R). Here, we present rAvis, an R-package to connect R-users with Proyecto AVIS (http://proyectoavis.com), a Spanish citizen science project with more than 82,000 bird observation records. We develop several functions to explore the database, to plot the geographic distribution of the species occurrences, and to generate personal queries to the database about species occurrences (number of individuals, distribution, etc.) and birdwatcher observations (number of species recorded by each collaborator, UTMs visited, etc.). This new R-package will allow scientists to access this database and to exploit the information generated by Spanish birdwatchers over the last 40 years.

  15. SciSpark's SRDD : A Scientific Resilient Distributed Dataset for Multidimensional Data

    Science.gov (United States)

    Palamuttam, R. S.; Wilson, B. D.; Mogrovejo, R. M.; Whitehall, K. D.; Mattmann, C. A.; McGibbney, L. J.; Ramirez, P.

    2015-12-01

    Remote sensing data and climate model output are multi-dimensional arrays of massive sizes locked away in heterogeneous file formats (HDF5/4, NetCDF 3/4) and metadata models (HDF-EOS, CF) making it difficult to perform multi-stage, iterative science processing since each stage requires writing and reading data to and from disk. We have developed SciSpark, a robust Big Data framework, that extends ApacheTM Spark for scaling scientific computations. Apache Spark improves the map-reduce implementation in ApacheTM Hadoop for parallel computing on a cluster, by emphasizing in-memory computation, "spilling" to disk only as needed, and relying on lazy evaluation. Central to Spark is the Resilient Distributed Dataset (RDD), an in-memory distributed data structure that extends the functional paradigm provided by the Scala programming language. However, RDDs are ideal for tabular or unstructured data, and not for highly dimensional data. The SciSpark project introduces the Scientific Resilient Distributed Dataset (sRDD), a distributed-computing array structure which supports iterative scientific algorithms for multidimensional data. SciSpark processes data stored in NetCDF and HDF files by partitioning them across time or space and distributing the partitions among a cluster of compute nodes. We show usability and extensibility of SciSpark by implementing distributed algorithms for geospatial operations on large collections of multi-dimensional grids. In particular we address the problem of scaling an automated method for finding Mesoscale Convective Complexes. SciSpark provides a tensor interface to support the pluggability of different matrix libraries. We evaluate performance of the various matrix libraries in distributed pipelines, such as Nd4jTM and BreezeTM. We detail the architecture and design of SciSpark, our efforts to integrate climate science algorithms, parallel ingest and partitioning (sharding) of A-Train satellite observations from model grids. These

  16. Where civics meets science: building science for the public good through Civic Science.

    Science.gov (United States)

    Garlick, J A; Levine, P

    2017-09-01

    Public understanding of science and civic engagement on science issues that impact contemporary life matter more today than ever. From the Planned Parenthood controversy, to the Flint water crisis and the fluoridation debate, societal polarization about science issues has reached dramatic levels that present significant obstacles to public discussion and problem solving. This is happening, in part, because systems built to support science do not often reward open-minded thinking, inclusive dialogue, and moral responsibility regarding science issues. As a result, public faith in science continues to erode. This review explores how the field of Civic Science can impact public work on science issues by building new understanding of the practices, influences, and cultures of science. Civic Science is defined as a discipline that considers science practice and knowledge as resources for civic engagement, democratic action, and political change. This review considers how Civic Science informs the roles that key participants-scientists, public citizens and institutions of higher education-play in our national science dialogue. Civic Science aspires to teach civic capacities, to inform the responsibilities of scientists engaged in public science issues and to inspire an open-minded, inclusive dialogue where all voices are heard and shared commitments are acknowledged. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  17. Software Reuse Within the Earth Science Community

    Science.gov (United States)

    Marshall, James J.; Olding, Steve; Wolfe, Robert E.; Delnore, Victor E.

    2006-01-01

    Scientific missions in the Earth sciences frequently require cost-effective, highly reliable, and easy-to-use software, which can be a challenge for software developers to provide. The NASA Earth Science Enterprise (ESE) spends a significant amount of resources developing software components and other software development artifacts that may also be of value if reused in other projects requiring similar functionality. In general, software reuse is often defined as utilizing existing software artifacts. Software reuse can improve productivity and quality while decreasing the cost of software development, as documented by case studies in the literature. Since large software systems are often the results of the integration of many smaller and sometimes reusable components, ensuring reusability of such software components becomes a necessity. Indeed, designing software components with reusability as a requirement can increase the software reuse potential within a community such as the NASA ESE community. The NASA Earth Science Data Systems (ESDS) Software Reuse Working Group is chartered to oversee the development of a process that will maximize the reuse potential of existing software components while recommending strategies for maximizing the reusability potential of yet-to-be-designed components. As part of this work, two surveys of the Earth science community were conducted. The first was performed in 2004 and distributed among government employees and contractors. A follow-up survey was performed in 2005 and distributed among a wider community, to include members of industry and academia. The surveys were designed to collect information on subjects such as the current software reuse practices of Earth science software developers, why they choose to reuse software, and what perceived barriers prevent them from reusing software. In this paper, we compare the results of these surveys, summarize the observed trends, and discuss the findings. The results are very

  18. Portraying Real Science in Science Communication

    Science.gov (United States)

    van Dijk, Esther M.

    2011-01-01

    In both formal and informal settings, not only science but also views on the nature of science are communicated. Although there probably is no singular nature shared by all fields of science, in the field of science education it is commonly assumed that on a certain level of generality there is a consensus on many features of science. In this…

  19. Performance in grade 12 mathematics and science predicts student nurses' performance in first year science modules at a university in the Western Cape.

    Science.gov (United States)

    Mthimunye, Katlego D T; Daniels, Felicity M

    2017-10-26

    The demand for highly qualified and skilled nurses is increasing in South Africa as well as around the world. Having a background in science can create a significant advantage for students wishing to enrol for an undergraduate nursing qualification because nursing as profession is grounded in scientific evidence. The aim of this study was to investigate the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules. A quantitative research method using a cross-sectional predictive design was employed in this study. The participants included first year Bachelor of Nursing students enrolled at a university in the Western Cape, South Africa. Descriptive and inferential statistics were performed to analyse the data by using the IBM Statistical Package for Social Sciences versions 24. Descriptive analysis of all variables was performed as well as the Spearman's rank correlation test to describe the relationship among the study variables. Standard multiple linear regressions analysis was performed to determine the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules. The results of this study showed that grade 12 physical science is not a significant predictor (p > 0.062) of performance in first year science modules. The multiple linear regression revealed that grade 12 mathematics and life science grades explained 37.1% to 38.1% (R2 = 0.381 and adj R2 = 0.371) of the variation in the first year science grade distributions. Based on the results of the study it is evident that performance in grade 12 mathematics (β = 2.997) and life science (β = 3.175) subjects is a significant predictor (p < 0.001) of the performance in first year science modules for student nurses at the university identified for this study.

  20. High Performance Data Transfer for Distributed Data Intensive Sciences

    Energy Technology Data Exchange (ETDEWEB)

    Fang, Chin [Zettar Inc., Mountain View, CA (United States); Cottrell, R ' Les' A. [SLAC National Accelerator Lab., Menlo Park, CA (United States); Hanushevsky, Andrew B. [SLAC National Accelerator Lab., Menlo Park, CA (United States); Kroeger, Wilko [SLAC National Accelerator Lab., Menlo Park, CA (United States); Yang, Wei [SLAC National Accelerator Lab., Menlo Park, CA (United States)

    2017-03-06

    We report on the development of ZX software providing high performance data transfer and encryption. The design scales in: computation power, network interfaces, and IOPS while carefully balancing the available resources. Two U.S. patent-pending algorithms help tackle data sets containing lots of small files and very large files, and provide insensitivity to network latency. It has a cluster-oriented architecture, using peer-to-peer technologies to ease deployment, operation, usage, and resource discovery. Its unique optimizations enable effective use of flash memory. Using a pair of existing data transfer nodes at SLAC and NERSC, we compared its performance to that of bbcp and GridFTP and determined that they were comparable. With a proof of concept created using two four-node clusters with multiple distributed multi-core CPUs, network interfaces and flash memory, we achieved 155Gbps memory-to-memory over a 2x100Gbps link aggregated channel and 70Gbps file-to-file with encryption over a 5000 mile 100Gbps link.

  1. Data Mining Web Services for Science Data Repositories

    Science.gov (United States)

    Graves, S.; Ramachandran, R.; Keiser, K.; Maskey, M.; Lynnes, C.; Pham, L.

    2006-12-01

    The maturation of web services standards and technologies sets the stage for a distributed "Service-Oriented Architecture" (SOA) for NASA's next generation science data processing. This architecture will allow members of the scientific community to create and combine persistent distributed data processing services and make them available to other users over the Internet. NASA has initiated a project to create a suite of specialized data mining web services designed specifically for science data. The project leverages the Algorithm Development and Mining (ADaM) toolkit as its basis. The ADaM toolkit is a robust, mature and freely available science data mining toolkit that is being used by several research organizations and educational institutions worldwide. These mining services will give the scientific community a powerful and versatile data mining capability that can be used to create higher order products such as thematic maps from current and future NASA satellite data records with methods that are not currently available. The package of mining and related services are being developed using Web Services standards so that community-based measurement processing systems can access and interoperate with them. These standards-based services allow users different options for utilizing them, from direct remote invocation by a client application to deployment of a Business Process Execution Language (BPEL) solutions package where a complex data mining workflow is exposed to others as a single service. The ability to deploy and operate these services at a data archive allows the data mining algorithms to be run where the data are stored, a more efficient scenario than moving large amounts of data over the network. This will be demonstrated in a scenario in which a user uses a remote Web-Service-enabled clustering algorithm to create cloud masks from satellite imagery at the Goddard Earth Sciences Data and Information Services Center (GES DISC).

  2. Science teaching in science education

    Science.gov (United States)

    Callahan, Brendan E.; Dopico, Eduardo

    2016-06-01

    Reading the interesting article Discerning selective traditions in science education by Per Sund , which is published in this issue of CSSE, allows us to open the discussion on procedures for teaching science today. Clearly there is overlap between the teaching of science and other areas of knowledge. However, we must constantly develop new methods to teach and differentiate between science education and teaching science in response to the changing needs of our students, and we must analyze what role teachers and teacher educators play in both. We must continually examine the methods and concepts involved in developing pedagogical content knowledge in science teachers. Otherwise, the possibility that these routines, based on subjective traditions, prevent emerging processes of educational innovation. Modern science is an enormous field of knowledge in its own right, which is made more expansive when examined within the context of its place in society. We propose the need to design educative interactions around situations that involve science and society. Science education must provide students with all four dimensions of the cognitive process: factual knowledge, conceptual knowledge, procedural knowledge, and metacognitive knowledge. We can observe in classrooms at all levels of education that students understand the concepts better when they have the opportunity to apply the scientific knowledge in a personally relevant way. When students find value in practical exercises and they are provided opportunities to reinterpret their experiences, greater learning gains are achieved. In this sense, a key aspect of educational innovation is the change in teaching methodology. We need new tools to respond to new problems. A shift in teacher education is needed to realize the rewards of situating science questions in a societal context and opening classroom doors to active methodologies in science education to promote meaningful learning through meaningful teaching.

  3. The use of logistic regression in modelling the distributions of bird ...

    African Journals Online (AJOL)

    Avian Demography Unit, Department of Statistical Sciences, University of Cape Town, Rondebosch ... each species the variables which were significantly related to its distribution were identified. ..... for the two species with the highest mean deviance of the re- .... the mean deviance of the residual, was found to be closely re-.

  4. Achieving Science with CubeSats: Thinking Inside the Box

    Science.gov (United States)

    Zurbuchen, Thomas H.; Lal, Bhavya

    2017-01-01

    We present the results of a study conducted by the National Academies of Sciences, Engineering, and Medicine. The study focused on the scientific potential and technological promise of CubeSats. We will first review the growth of the CubeSat platform from an education-focused technology toward a platform of importance for technology development, science, and commercial use, both in the United States and internationally. The use has especially exploded in recent years. For example, of the over 400 CubeSats launched since 2000, more than 80% of all science-focused ones have been launched just in the past four years. Similarly, more than 80% of peer-reviewed papers describing new science based on CubeSat data have been published in the past five years.We will then assess the technological and science promise of CubeSats across space science disciplines, and discuss a subset of priority science goals that can be achieved given the current state of CubeSat capabilities. Many of these goals address targeted science, often in coordination with other spacecraft, or by using sacrificial or high-risk orbits that lead to the demise of the satellite after critical data have been collected. Other goals relate to the use of CubeSats as constellations or swarms, deploying tens to hundreds of CubeSats that function as one distributed array of measurements.Finally, we will summarize our conclusions and recommendations from this study; especially those focused on nearterm investment that could improve the capabilities of CubeSats toward increased science and technological return and enable the science communities’ use of CubeSats.

  5. Aerosol science: theory and practice

    International Nuclear Information System (INIS)

    Williams, M.M.R.; Loyalka, S.K.

    1991-01-01

    The purpose of this book is twofold. First, it is intended to give a thorough treatment of the fundamentals of aerosol behavior with rigorous proofs and detailed derivations of the basic equations and removal mechanisms. Second, it is intended to provide practical examples with special attention to radioactive particles and their distribution in size following a radioactive release arising from an accident with a nuclear system. We start with a brief introduction to the applications of aerosol science and the characteristics of aerosols in Chapter 1. In Chapter 2, we devote considerable attention to single and two particle motion with respect to both translation and rotation. Chapter 3 contains extensive discussion of the aerosol general dynamical equation and the dependences of aerosol distributions on size, shape, space, composition, radioactivity, and charge. Important particle rate processes of coagulation, condensation, and deposition/resuspension are discussed in the chapters 4, 6 and 7, respectively. In Chapter 5, we provide a thorough treatment of the analytical and numerical methods used in solving the various forms of the aerosol dynamical equation. We discuss the importance and applications of aerosol science to nuclear technology and, in particular, the nuclear source term in Chapter 8. Our focus in this chapter is on discussions of nuclear accidents that can potentially release large amount of radioactivity to environment. We also discuss the progress that has been made in understanding the natural and engineered aerosol processes that limit or affect such releases. (author)

  6. Secondary science teachers' attitudes toward and beliefs about science reading and science textbooks

    Science.gov (United States)

    Yore, Larry D.

    Science textbooks are dominant influences behind most secondary science instruction but little is known about teachers' approach to science reading. The purpose of this naturalistic study was to develop and validate a Science and Reading Questionnaire to assess secondary science teachers' attitudes toward science reading and their beliefs or informed opinions about science reading. A survey of 428 British Columbia secondary science teachers was conducted and 215 science teachers responded. Results on a 12-item Likert attitude scale indicated that teachers place high value on reading as an important strategy to promote learning in science and that they generally accept responsibility for teaching content reading skills to science students. Results on a 13-item Likert belief scale indicated that science teachers generally reject the text-driven model of reading, but they usually do not have well-formulated alternative models to guide their teaching practices. Teachers have intuitive beliefs about science reading that partially agree with many research findings, but their beliefs are fragmented and particularly sketchy in regard to the cognitive and metacognitive skills required by readers to learn from science texts. The findings for attitude, belief, and total scales were substantiated by further questions in the Science and Reading Questionnaire regarding classroom practice and by individual interviews and classroom observations of a 15-teacher subsample of the questionnaire respondents.

  7. RISA: Remote Interface for Science Analysis

    Science.gov (United States)

    Gabriel, C.; Ibarra, A.; de La Calle, I.; Salgado, J.; Osuna, P.; Tapiador, D.

    2008-08-01

    The Scientific Analysis System (SAS) is the package for interactive and pipeline data reduction of all XMM-Newton data. Freely distributed by ESA to run under many different operating systems, the SAS has been used by almost every one of the 1600 refereed scientific publications obtained so far from the mission. We are developing RISA, the Remote Interface for Science Analysis, which makes it possible to run SAS through fully configurable web service workflows, enabling observers to access and analyse data making use of all of the existing SAS functionalities, without any installation/download of software/data. The workflows run primarily but not exclusively on the ESAC Grid, which offers scalable processing resources, directly connected to the XMM-Newton Science Archive. A first project internal version of RISA was issued in May 2007, a public release is expected already within this year.

  8. Journal of Applied Science and Technology - Vol 15, No 1-2 (2010)

    African Journals Online (AJOL)

    Journal of Applied Science and Technology. ... to maximize the weighted number of just-in-time jobs · EMAIL FULL TEXT EMAIL FULL TEXT ... Controlling electrical power losses in transmission and distribution networks in Nigeria · EMAIL ...

  9. 11th International Conference on Computer and Information Science

    CERN Document Server

    Computer and Information 2012

    2012-01-01

    The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence – quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results.   The purpose of the 11th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2012...

  10. The Value of Metrics for Science Data Center Management

    Science.gov (United States)

    Moses, J.; Behnke, J.; Watts, T. H.; Lu, Y.

    2005-12-01

    The Earth Observing System Data and Information System (EOSDIS) has been collecting and analyzing records of science data archive, processing and product distribution for more than 10 years. The types of information collected and the analysis performed has matured and progressed to become an integral and necessary part of the system management and planning functions. Science data center managers are realizing the importance that metrics can play in influencing and validating their business model. New efforts focus on better understanding of users and their methods. Examples include tracking user web site interactions and conducting user surveys such as the government authorized American Customer Satisfaction Index survey. This paper discusses the metrics methodology, processes and applications that are growing in EOSDIS, the driving requirements and compelling events, and the future envisioned for metrics as an integral part of earth science data systems.

  11. Suborganizations of Institutions in Library and Information Science Journals

    Directory of Open Access Journals (Sweden)

    Dalibor Fiala

    2013-10-01

    Full Text Available In this paper, we analyze Web of Science data records of articles published from 1991 to 2010 in library and information science (LIS journals. We focus on addresses of these articles’ authors and create citation and collaboration networks of departments which we define as the first suborganization of an institution. We present various rankings of departments (e.g., by citations, times cited, PageRank, publications, etc. and highlight the most influential of them. The correlations between the individual departments are also shown. Furthermore, we visualize the most intense citation and collaboration relationships between “LIS” departments (many of which are not genuine LIS departments but merely affiliations of authors publishing in journals covered by the specific Web of Science category and give examples of two basic research performance distributions across departments of the leading universities in the field.

  12. [The Continuity Between World War II and the Postwar Period: Grant Distribution by the Japan Society for the Promotion of Science and the Subsidiary Fund for Scientific Research].

    Science.gov (United States)

    Mizusawa, Hikari

    2015-01-01

    This paper analyzes the distribution of the Subsidiary Fund for Scientific Research, a predecessor to the Grant-in-Aid for Scientific Research (KAKENHI), which operated in Japan from the 1930s to 1950s. It reveals that the Japanese government maintained this wide-ranging promotion system since its establishment during the war until well into the postwar period. Previous studies insist that, at the end of the war, the Japanese government generally only funded the research that it considered immediately and practically useful. In contrast to this general perception, my analysis illustrates that both before and after the war, funding was allotted to four research areas: natural science, engineering, agriculture, and medicine. In order to illuminate this continuity, I compare the Subsidiary Fund with another research fund existing from 1933 to 1947: the Grant of the Japan Society for the Promotion of Science (JSPS). The comparison demonstrates that the JSPS received externally raised capital from the military and munitions companies. However, while this group focused upon engineering and military-related research as the war dragged on, the Subsidiary Fund has consistently entrusted scientists with the authority to decide the allocation of financial support.

  13. Can cognitive science create a cognitive economics?

    Science.gov (United States)

    Chater, Nick

    2015-02-01

    Cognitive science can intersect with economics in at least three productive ways: by providing richer models of individual behaviour for use in economic analysis; by drawing from economic theory in order to model distributed cognition; and jointly to create more powerful 'rational' models of cognitive processes and social interaction. There is the prospect of moving from behavioural economics to a genuinely cognitive economics. Copyright © 2014. Published by Elsevier B.V.

  14. Rainfall: State of the Science

    Science.gov (United States)

    Testik, Firat Y.; Gebremichael, Mekonnen

    Rainfall: State of the Science offers the most up-to-date knowledge on the fundamental and practical aspects of rainfall. Each chapter, self-contained and written by prominent scientists in their respective fields, provides three forms of information: fundamental principles, detailed overview of current knowledge and description of existing methods, and emerging techniques and future research directions. The book discusses • Rainfall microphysics: raindrop morphodynamics, interactions, size distribution, and evolution • Rainfall measurement and estimation: ground-based direct measurement (disdrometer and rain gauge), weather radar rainfall estimation, polarimetric radar rainfall estimation, and satellite rainfall estimation • Statistical analyses: intensity-duration-frequency curves, frequency analysis of extreme events, spatial analyses, simulation and disaggregation, ensemble approach for radar rainfall uncertainty, and uncertainty analysis of satellite rainfall products The book is tailored to be an indispensable reference for researchers, practitioners, and graduate students who study any aspect of rainfall or utilize rainfall information in various science and engineering disciplines.

  15. Analysing the Outbound logistics process enhancements in Nokia-Siemens Networks Global Distribution Center

    OpenAIRE

    Marjeta, Katri

    2011-01-01

    Marjeta, Katri. 2011. Analysing the outbound logistics process enhancements in Nokia-Siemens Networks Global Distribution Center. Master´s thesis. Kemi-Tornio University of Applied Sciences. Business and Culture. Pages 57. Due to confidentiality issues, this work has been modified from its original form. The aim of this Master Thesis work is to describe and analyze the outbound logistics process enhancement projects executed in Nokia-Siemens Networks Global Distribution Center after the N...

  16. Distributed computing by oblivious mobile robots

    CERN Document Server

    Flocchini, Paola; Santoro, Nicola

    2012-01-01

    The study of what can be computed by a team of autonomous mobile robots, originally started in robotics and AI, has become increasingly popular in theoretical computer science (especially in distributed computing), where it is now an integral part of the investigations on computability by mobile entities. The robots are identical computational entities located and able to move in a spatial universe; they operate without explicit communication and are usually unable to remember the past; they are extremely simple, with limited resources, and individually quite weak. However, collectively the ro

  17. The PDS4 Information Model and its Role in Agile Science Data Curation

    Science.gov (United States)

    Hughes, J. S.; Crichton, D.

    2017-12-01

    PDS4 is an information model-driven service architecture supporting the capture, management, distribution and integration of massive planetary science data captured in distributed data archives world-wide. The PDS4 Information Model (IM), the core element of the architecture, was developed using lessons learned from 20 years of archiving Planetary Science Data and best practices for information model development. The foundational principles were adopted from the Open Archival Information System (OAIS) Reference Model (ISO 14721), the Metadata Registry Specification (ISO/IEC 11179), and W3C XML (Extensible Markup Language) specifications. These provided respectively an object oriented model for archive information systems, a comprehensive schema for data dictionaries and hierarchical governance, and rules for rules for encoding documents electronically. The PDS4 Information model is unique in that it drives the PDS4 infrastructure by providing the representation of concepts and their relationships, constraints, rules, and operations; a sharable, stable, and organized set of information requirements; and machine parsable definitions that are suitable for configuring and generating code. This presentation will provide an over of the PDS4 Information Model and how it is being leveraged to develop and evolve the PDS4 infrastructure and enable agile curation of over 30 years of science data collected by the international Planetary Science community.

  18. Introducing the History of Science at the French Middle School

    Science.gov (United States)

    Fauque, Danielle M. E.

    2009-01-01

    In scientific teaching, especially in physics and chemistry, some historical aspects have been introduced at the secondary level in France, since 1993. Particularly, in 2007, the syllabuses of 11'-15' years old level ("college") propose precise activities in history of science and technology. Detailed guidance has been distributed in…

  19. Educator Perspectives on Earth System Science Literacy: Challenges and Priorities

    Science.gov (United States)

    LaDue, Nicole; Clark, Scott K.

    2012-01-01

    The challenges and priorities of defining and achieving Earth System Science (ESS) literacy are examined through surveys of geoscience educators attending a professional geological meeting. Two surveys with Likert-style and free-response questions were distributed to geoscientists and K-12 teachers to elicit what instructors think are important…

  20. 77 FR 55863 - NASA Advisory Council; Science Committee; Earth Science Subcommittee; Applied Sciences Advisory...

    Science.gov (United States)

    2012-09-11

    ... Committee; Earth Science Subcommittee; Applied Sciences Advisory Group Meeting AGENCY: National Aeronautics... the Applied Science Advisory Group. This Subcommittee reports to the Earth Science Subcommittee... following topics: --Applied Sciences Program Update --Earth Science Data Latency Study Preliminary Update...

  1. On the map: Nature and Science editorials.

    Science.gov (United States)

    Waaijer, Cathelijn J F; van Bochove, Cornelis A; van Eck, Nees Jan

    2011-01-01

    Bibliometric mapping of scientific articles based on keywords and technical terms in abstracts is now frequently used to chart scientific fields. In contrast, no significant mapping has been applied to the full texts of non-specialist documents. Editorials in Nature and Science are such non-specialist documents, reflecting the views of the two most read scientific journals on science, technology and policy issues. We use the VOSviewer mapping software to chart the topics of these editorials. A term map and a document map are constructed and clusters are distinguished in both of them. The validity of the document clustering is verified by a manual analysis of a sample of the editorials. This analysis confirms the homogeneity of the clusters obtained by mapping and augments the latter with further detail. As a result, the analysis provides reliable information on the distribution of the editorials over topics, and on differences between the journals. The most striking difference is that Nature devotes more attention to internal science policy issues and Science more to the political influence of scientists. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11192-010-0205-9) contains supplementary material, which is available to authorized users.

  2. Earth science information: Planning for the integration and use of global change information

    Science.gov (United States)

    Lousma, Jack R.

    1992-01-01

    Activities and accomplishments of the first six months of the Consortium for International Earth Science Information Network (CIESIN's) 1992 technical program have focused on four main missions: (1) the development and implementation of plans for initiation of the Socioeconomic Data and Applications Center (SEDAC) as part of the EOSDIS Program; (2) the pursuit and development of a broad-based global change information cooperative by providing systems analysis and integration between natural science and social science data bases held by numerous federal agencies and other sources; (3) the fostering of scientific research into the human dimensions of global change and providing integration between natural science and social science data and information; and (4) the serving of CIESIN as a gateway for global change data and information distribution through development of the Global Change Research Information Office and other comprehensive knowledge sharing systems.

  3. Interfacial and Surface Science | Materials Science | NREL

    Science.gov (United States)

    Science group within the Material Science Center. He oversees research studies of surfaces and interfaces Interfacial and Surface Science Interfacial and Surface Science Image of irregular-outlined, light address a broad range of fundamental and applied issues in surface and interfacial science that are

  4. Redesigning a General Education Science Course to Promote Critical Thinking.

    Science.gov (United States)

    Rowe, Matthew P; Gillespie, B Marcus; Harris, Kevin R; Koether, Steven D; Shannon, Li-Jen Y; Rose, Lori A

    2015-01-01

    Recent studies question the effectiveness of a traditional university curriculum in helping students improve their critical thinking and scientific literacy. We developed an introductory, general education (gen ed) science course to overcome both deficiencies. The course, titled Foundations of Science, differs from most gen ed science offerings in that it is interdisciplinary; emphasizes the nature of science along with, rather than primarily, the findings of science; incorporates case studies, such as the vaccine-autism controversy; teaches the basics of argumentation and logical fallacies; contrasts science with pseudoscience; and addresses psychological factors that might otherwise lead students to reject scientific ideas they find uncomfortable. Using a pretest versus posttest design, we show that students who completed the experimental course significantly improved their critical-thinking skills and were more willing to engage scientific theories the general public finds controversial (e.g., evolution), while students who completed a traditional gen ed science course did not. Our results demonstrate that a gen ed science course emphasizing the process and application of science rather than just scientific facts can lead to improved critical thinking and scientific literacy. © 2015 M. P. Rowe, B. M. Gillespie, et al. CBE—Life Sciences Education © 2015 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  5. Wind Stress, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Zonal

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets. This data begins with wind velocity...

  6. Wind Stress, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Curl

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets. This data begins with wind velocity...

  7. Wind Stress, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Meridional

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets. This data begins with wind velocity...

  8. Wind Stress, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Modulus

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets. This data begins with wind velocity...

  9. Second Annual NASA Ames Space Science and Astrobiology Jamboree

    Science.gov (United States)

    Dotson, Jessie

    2014-01-01

    The Space Science and Astrobiology Division's researchers are pursuing investigations in a variety of fields, including exoplanets, planetary science, astrobiology, and astrophysics. In addition division personnel support a wide variety of NASA missions. With a wide variety of interesting research going on, distributed among the three branches in at least 5 buildings, it can be difficult to stay abreast of what one's fellow researchers are doing. Our goal in organizing this symposium is to facilitate communication and collaboration among the scientist within the division and to give center management and other ARC researchers and Engineers an opportunity to see what scientific missions work is being done in the division.

  10. Distribution of water in fresh cod

    DEFF Research Database (Denmark)

    Andersen, Charlotte Møller; Rinnan, A.

    2002-01-01

    Low-field (1)H nuclear magnetic resonance (NMR) transverse relaxation was used to measure water mobility and distribution of water in fresh cod fillets. The NMR relaxations were analysed with the so-called SLICING method giving uni-exponential profiles from which the transverse relaxation time (T(2......)-values) and the relative sizes of the water populations were calculated. Two water populations with the T(2)-values of 50 and 94 ms were obtained. The shortest relaxation time was primarily found near the head, and water with the longest relaxation time was primarily found near the tail. This variation...... can he explained by the smaller muscle cells and muscle fibers in the tail, which may influence the distributions of water into the different pools. The amount of one of the water populations was correlated to the overall water content with a correlation coefficient of -0.94. (C) 2002 Elsevier Science...

  11. WFIRST: STScI Science Operations Center (SSOC) Activities and Plans

    Science.gov (United States)

    Gilbert, Karoline M.; STScI WFIRST Team

    2018-01-01

    The science operations for the WFIRST Mission will be distributed between Goddard Space Flight Center, the Space Telescope Science Institute (STScI), and the Infrared Processing and Analysis Center (IPAC). The STScI Science Operations Center (SSOC) will schedule and archive all WFIRST observations, will calibrate and produce pipeline-reduced data products for the Wide Field Instrument, and will support the astronomical community in planning WFI observations and analyzing WFI data. During the formulation phase, WFIRST team members at STScI have developed operations concepts for scheduling, data management, and the archive; have performed technical studies investigating the impact of WFIRST design choices on data quality and analysis; and have built simulation tools to aid the community in exploring WFIRST’s capabilities. We will highlight examples of each of these efforts.

  12. AGU Cinema: Festival of short science films at Fall Meeting

    Science.gov (United States)

    Harned, Douglas A.

    2012-11-01

    New technologies have revolutionized the use of video as a means of science communication and have made it easier to create, distribute, and view. With video having become omnipresent in our culture, it sometime supplements or even replaces writing in many science and education applications. An inaugural science film festival sponsored by AGU at the 2012 Fall Meeting in San Francisco, Calif., in December will showcase short videos—30 minutes or less in length—developed to disseminate scientific results to various audiences and to enhance learning in the classroom. AGU Cinema will feature professionally produced, big budget films alongside low-budget videos aimed at niche audiences and made by amateurs. The latter category includes videos made by governmental agency scientists, educators, communications specialists within scientific organizations, and Fall Meeting oral and poster presenters.

  13. Probability Distributome: A Web Computational Infrastructure for Exploring the Properties, Interrelations, and Applications of Probability Distributions.

    Science.gov (United States)

    Dinov, Ivo D; Siegrist, Kyle; Pearl, Dennis K; Kalinin, Alexandr; Christou, Nicolas

    2016-06-01

    Probability distributions are useful for modeling, simulation, analysis, and inference on varieties of natural processes and physical phenomena. There are uncountably many probability distributions. However, a few dozen families of distributions are commonly defined and are frequently used in practice for problem solving, experimental applications, and theoretical studies. In this paper, we present a new computational and graphical infrastructure, the Distributome , which facilitates the discovery, exploration and application of diverse spectra of probability distributions. The extensible Distributome infrastructure provides interfaces for (human and machine) traversal, search, and navigation of all common probability distributions. It also enables distribution modeling, applications, investigation of inter-distribution relations, as well as their analytical representations and computational utilization. The entire Distributome framework is designed and implemented as an open-source, community-built, and Internet-accessible infrastructure. It is portable, extensible and compatible with HTML5 and Web2.0 standards (http://Distributome.org). We demonstrate two types of applications of the probability Distributome resources: computational research and science education. The Distributome tools may be employed to address five complementary computational modeling applications (simulation, data-analysis and inference, model-fitting, examination of the analytical, mathematical and computational properties of specific probability distributions, and exploration of the inter-distributional relations). Many high school and college science, technology, engineering and mathematics (STEM) courses may be enriched by the use of modern pedagogical approaches and technology-enhanced methods. The Distributome resources provide enhancements for blended STEM education by improving student motivation, augmenting the classical curriculum with interactive webapps, and overhauling the

  14. Science Programs

    Science.gov (United States)

    Laboratory Delivering science and technology to protect our nation and promote world stability Science & ; Innovation Collaboration Careers Community Environment Science & Innovation Facilities Science Pillars Research Library Science Briefs Science News Science Highlights Lab Organizations Science Programs Applied

  15. Science Olympiad students' nature of science understandings

    Science.gov (United States)

    Philpot, Cindy J.

    2007-12-01

    Recent reform efforts in science education focus on scientific literacy for all citizens. In order to be scientifically literate, an individual must have informed understandings of nature of science (NOS), scientific inquiry, and science content matter. This study specifically focused on Science Olympiad students' understanding of NOS as one piece of scientific literacy. Research consistently shows that science students do not have informed understandings of NOS (Abd-El-Khalick, 2002; Bell, Blair, Crawford, and Lederman, 2002; Kilcrease and Lucy, 2002; Schwartz, Lederman, and Thompson, 2001). However, McGhee-Brown, Martin, Monsaas and Stombler (2003) found that Science Olympiad students had in-depth understandings of science concepts, principles, processes, and techniques. Science Olympiad teams compete nationally and are found in rural, urban, and suburban schools. In an effort to learn from students who are generally considered high achieving students and who enjoy science, as opposed to the typical science student, the purpose of this study was to investigate Science Olympiad students' understandings of NOS and the experiences that formed their understandings. An interpretive, qualitative, case study method was used to address the research questions. The participants were purposefully and conveniently selected from the Science Olympiad team at a suburban high school. Data collection consisted of the Views of Nature of Science -- High School Questionnaire (VNOS-HS) (Schwartz, Lederman, & Thompson, 2001), semi-structured individual interviews, and a focus group. The main findings of this study were similar to much of the previous research in that the participants had informed understandings of the tentative nature of science and the role of inferences in science, but they did not have informed understandings of the role of human imagination and creativity, the empirical nature of science, or theories and laws. High level science classes and participation in

  16. The Multi-modal Australian ScienceS Imaging and Visualisation Environment (MASSIVE high performance computing infrastructure: applications in neuroscience and neuroinformatics research

    Directory of Open Access Journals (Sweden)

    Wojtek James eGoscinski

    2014-03-01

    Full Text Available The Multi-modal Australian ScienceS Imaging and Visualisation Environment (MASSIVE is a national imaging and visualisation facility established by Monash University, the Australian Synchrotron, the Commonwealth Scientific Industrial Research Organisation (CSIRO, and the Victorian Partnership for Advanced Computing (VPAC, with funding from the National Computational Infrastructure and the Victorian Government. The MASSIVE facility provides hardware, software and expertise to drive research in the biomedical sciences, particularly advanced brain imaging research using synchrotron x-ray and infrared imaging, functional and structural magnetic resonance imaging (MRI, x-ray computer tomography (CT, electron microscopy and optical microscopy. The development of MASSIVE has been based on best practice in system integration methodologies, frameworks, and architectures. The facility has: (i integrated multiple different neuroimaging analysis software components, (ii enabled cross-platform and cross-modality integration of neuroinformatics tools, and (iii brought together neuroimaging databases and analysis workflows. MASSIVE is now operational as a nationally distributed and integrated facility for neuroinfomatics and brain imaging research.

  17. Applications of Nuclear Science for Stewardship Science

    International Nuclear Information System (INIS)

    Cizewski, Jolie A

    2013-01-01

    Stewardship science is research important to national security interests that include stockpile stewardship science, homeland security, nuclear forensics, and non-proliferation. To help address challenges in stewardship science and workforce development, the Stewardship Science Academic Alliances (SSAA) was inaugurated ten years ago by the National Nuclear Security Administration of the U. S. Department of Energy. The goal was to enhance connections between NNSA laboratories and the activities of university scientists and their students in research areas important to NNSA, including low-energy nuclear science. This paper presents an overview of recent research in low-energy nuclear science supported by the Stewardship Science Academic Alliances and the applications of this research to stewardship science.

  18. Obtaining sparse distributions in 2D inverse problems

    OpenAIRE

    Reci, A; Sederman, Andrew John; Gladden, Lynn Faith

    2017-01-01

    The mathematics of inverse problems has relevance across numerous estimation problems in science and engineering. L1 regularization has attracted recent attention in reconstructing the system properties in the case of sparse inverse problems; i.e., when the true property sought is not adequately described by a continuous distribution, in particular in Compressed Sensing image reconstruction. In this work, we focus on the application of L1 regularization to a class of inverse problems; relaxat...

  19. Experimental farming and Ricardo's political arithmetic of distribution

    OpenAIRE

    Mary S. Morgan

    2005-01-01

    The development of David Ricardo’s economic theory of distribution - the laws that determine the share of output between the economic classes - depended on specific connections at several levels between two practical sciences of the early 19th century, namely experimental agriculture and political economy. This paper shows how Ricardo, one of the foremost British economists of his day, combined his empirical knowledge of farming and agricultural experiments to develop both the content and met...

  20. Seafloor Observatory Science: a Review

    Directory of Open Access Journals (Sweden)

    L. Beranzoli

    2006-06-01

    Full Text Available The ocean exerts a pervasive influence on Earth’s environment. It is therefore important that we learn how this system operates (NRC, 1998b; 1999. For example, the ocean is an important regulator of climate change (e.g., IPCC, 1995. Understanding the link between natural and anthropogenic climate change and ocean circulation is essential for predicting the magnitude and impact of future changes in Earth’s climate. Understanding the ocean, and the complex physical, biological, chemical, and geological systems operating within it, should be an important goal for the opening decades of the 21st century. Another fundamental reason for increasing our understanding of ocean systems is that the global economy is highly dependent on the ocean (e.g., for tourism, fisheries, hydrocarbons, and mineral resources (Summerhayes, 1996. The establishment of a global network of seafloor observatories will help to provide the means to accomplish this goal. These observatories will have power and communication capabilities and will provide support for spatially distributed sensing systems and mobile platforms. Sensors and instruments will potentially collect data from above the air-sea interface to below the seafloor. Seafloor observatories will also be a powerful complement to satellite measurement systems by providing the ability to collect vertically distributed measurements within the water column for use with the spatial measurements acquired by satellites while also providing the capability to calibrate remotely sensed satellite measurements (NRC, 2000. Ocean observatory science has already had major successes. For example the TAO array has enabled the detection, understanding and prediction of El Niño events (e.g., Fujimoto et al., 2003. This paper is a world-wide review of the new emerging “Seafloor Observatory Science”, and describes both the scientific motivations for seafloor observatories and the technical solutions applied to their architecture. A

  1. Fascinating! Popular Science Communication and Literary Science Fiction

    DEFF Research Database (Denmark)

    Meyer, Gitte

    2017-01-01

    Some see literary Science Fiction as a possible vehicle for critical discussions about the future development and the ethical implications of science-based technologies. According to that understanding, literary Science Fiction constitutes a variety of science communication. Along related lines, ......, popular science communication with science fiction features might be expected to serve a similar purpose. Only, it is far from obvious that it actually works that way.......Some see literary Science Fiction as a possible vehicle for critical discussions about the future development and the ethical implications of science-based technologies. According to that understanding, literary Science Fiction constitutes a variety of science communication. Along related lines...

  2. The broadband spectral energy distributions of SDSS blazars

    Science.gov (United States)

    Li, Huai-Zhen; Chen, Luo-En; Jiang, Yun-Guo; Yi, Ting-Feng

    2015-07-01

    We compiled the radio, optical and X-ray data of blazars from the Sloan Digital Sky Survey database, and presented the distribution of luminosities and broadband spectral indices. The distribution of luminosities shows that the averaged luminosity of flat spectrum radio quasars (FSRQs) is larger than that of BL Lacertae (BL Lac) objects. On the other hand, the broadband spectral energy distribution reveals that FSRQs and low energy peaked BL Lac objects have similar spectral properties, but high energy peaked BL Lac objects have a distinct spectral property. This may be due to the fact that different subclasses of blazars have different intrinsic environments and are at different cooling levels. Even so, a unified scheme is also revealed from the color-color diagram, which hints that there are similar physical processes operating in all objects under a range of intrinsic physical conditions or beaming parameters. Supported by the National Natural Science Foundation of China.

  3. Near term climate projections for invasive species distributions

    Science.gov (United States)

    Jarnevich, C.S.; Stohlgren, T.J.

    2009-01-01

    Climate change and invasive species pose important conservation issues separately, and should be examined together. We used existing long term climate datasets for the US to project potential climate change into the future at a finer spatial and temporal resolution than the climate change scenarios generally available. These fine scale projections, along with new species distribution modeling techniques to forecast the potential extent of invasive species, can provide useful information to aide conservation and invasive species management efforts. We created habitat suitability maps for Pueraria montana (kudzu) under current climatic conditions and potential average conditions up to 30 years in the future. We examined how the potential distribution of this species will be affected by changing climate, and the management implications associated with these changes. Our models indicated that P. montana may increase its distribution particularly in the Northeast with climate change and may decrease in other areas. ?? 2008 Springer Science+Business Media B.V.

  4. Large-scale laser-microwave synchronization for attosecond photon science facilities

    Energy Technology Data Exchange (ETDEWEB)

    Shafak, Kemal

    2017-04-15

    Low-noise transfer of time and frequency standards over large distances provides high temporal resolution for ambitious scientific explorations such as sensitive imaging of astronomical objects using multi-telescope arrays, comparison of distant optical clocks or gravitational-wave detection using large laser interferometers. In particular, rapidly expanding photon science facilities such as X-ray free-electron lasers (FELs) and attoscience centers have the most challenging synchronization requirements of sub-fs timing precision to generate ultrashort X-ray pulses for the benefit of creating super-microscopes with sub-atomic spatiotemporal resolution. The critical task in these facilities is to synchronize various pulsed lasers and microwave sources across multi-kilometer distances as required for seeded FELs and attosecond pump-probe experiments. So far, there has been no timing distribution system meeting this strict requirement. Therefore, insufficient temporal precision provided by the current synchronization systems hinders the development of attosecond hard X-ray photon science facilities. The aim of this thesis is to devise a timing distribution system satisfying the most challenging synchronization requirements in science mandated by the next-generation photon science facilities. Using the pulsed-optical timing distribution approach, attosecond timing precision is realized by thoroughly investigating and eliminating the remaining noise sources in the synchronization system. First, optical and microwave timing detection schemes are further developed to support long-term stable, attosecond-precision measurements. Second, the feasibility of the master laser to support a kilometer-scale timing network with attosecond precision is examined by experimentally characterizing its free-running timing jitter and improving its long-term frequency stability with a sophisticated environmental insulation. Third, nonlinear pulse propagation inside optical fibers is studied

  5. Large-scale laser-microwave synchronization for attosecond photon science facilities

    International Nuclear Information System (INIS)

    Shafak, Kemal

    2017-04-01

    Low-noise transfer of time and frequency standards over large distances provides high temporal resolution for ambitious scientific explorations such as sensitive imaging of astronomical objects using multi-telescope arrays, comparison of distant optical clocks or gravitational-wave detection using large laser interferometers. In particular, rapidly expanding photon science facilities such as X-ray free-electron lasers (FELs) and attoscience centers have the most challenging synchronization requirements of sub-fs timing precision to generate ultrashort X-ray pulses for the benefit of creating super-microscopes with sub-atomic spatiotemporal resolution. The critical task in these facilities is to synchronize various pulsed lasers and microwave sources across multi-kilometer distances as required for seeded FELs and attosecond pump-probe experiments. So far, there has been no timing distribution system meeting this strict requirement. Therefore, insufficient temporal precision provided by the current synchronization systems hinders the development of attosecond hard X-ray photon science facilities. The aim of this thesis is to devise a timing distribution system satisfying the most challenging synchronization requirements in science mandated by the next-generation photon science facilities. Using the pulsed-optical timing distribution approach, attosecond timing precision is realized by thoroughly investigating and eliminating the remaining noise sources in the synchronization system. First, optical and microwave timing detection schemes are further developed to support long-term stable, attosecond-precision measurements. Second, the feasibility of the master laser to support a kilometer-scale timing network with attosecond precision is examined by experimentally characterizing its free-running timing jitter and improving its long-term frequency stability with a sophisticated environmental insulation. Third, nonlinear pulse propagation inside optical fibers is studied

  6. An Educational Tool for Creating Distributed Physical Games

    DEFF Research Database (Denmark)

    Lund, Henrik Hautop; Pagliarini, Luigi

    2011-01-01

    programming for physical games development. This is done by providing an educational tool that allows a change of representation of the problems related to game designing from a virtual to a physical representation. Indeed, MITS seems to be a valuable system for bringing into education a vast number of issues...... (such as parallel programming, distribution, communication protocols, master dependency, connectivity, topology, island modeling software behavioral models, adaptive interactivity, feedback, user and multi-user game interaction, etc.). This can both improve the education-related issues in computer......The development of physical interactive games demands extensive knowledge in engineering, computer science and gaming. In this paper we describe how the Modular Interactive Tiles System (MITS) can be a valuable tool for introducing students to interactive parallel and distributed processing...

  7. Exploring science through science fiction

    CERN Document Server

    Luokkala, Barry B

    2014-01-01

    How does Einstein’s description of space and time compare with Dr. Who? Can James Bond really escape from an armor-plated railroad car by cutting through the floor with a laser concealed in a wristwatch? What would it take to create a fully-intelligent android, such as Star Trek’s Commander Data? How might we discover intelligent civilizations on other planets in the galaxy? Is human teleportation possible? Will our technological society ever reach the point at which it becomes lawful to discriminate on the basis of genetic information, as in the movie GATTACA? Exploring Science Through Science Fiction addresses these and other interesting questions, using science fiction as a springboard for discussing fundamental science concepts and cutting-edge science research. The book is designed as a primary text for a college-level course which should appeal to students in the fine arts and humanities as well as to science and engineering students. It includes references to original research papers, landmark scie...

  8. actuar: An R Package for Actuarial Science

    OpenAIRE

    Dutang, Christophe; Goulet, Vincent; Pigeon, Mathieu

    2008-01-01

    actuar is a package providing additional Actuarial Science functionality to the R statistical system. The project was launched in 2005 and the package is available on the Comprehensive R Archive Network since February 2006. The current version of the package contains functions for use in the fields of loss distributions modeling, risk theory (including ruin theory), simulation of compound hierarchical models and credibility theory. This paper presents in detail but with few technical terms t...

  9. ASCR Science Network Requirements

    Energy Technology Data Exchange (ETDEWEB)

    Dart, Eli; Tierney, Brian

    2009-08-24

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2009 ESnet and the Office of Advanced Scientific Computing Research (ASCR), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by ASCR. The ASCR facilities anticipate significant increases in wide area bandwidth utilization, driven largely by the increased capabilities of computational resources and the wide scope of collaboration that is a hallmark of modern science. Many scientists move data sets between facilities for analysis, and in some cases (for example the Earth System Grid and the Open Science Grid), data distribution is an essential component of the use of ASCR facilities by scientists. Due to the projected growth in wide area data transfer needs, the ASCR supercomputer centers all expect to deploy and use 100 Gigabit per second networking technology for wide area connectivity as soon as that deployment is financially feasible. In addition to the network connectivity that ESnet provides, the ESnet Collaboration Services (ECS) are critical to several science communities. ESnet identity and trust services, such as the DOEGrids certificate authority, are widely used both by the supercomputer centers and by collaborations such as Open Science Grid (OSG) and the Earth System Grid (ESG). Ease of use is a key determinant of the scientific utility of network-based services. Therefore, a key enabling aspect for scientists beneficial use of high

  10. Leadership in Mammalian Societies: Emergence, Distribution, Power, and Payoff.

    Science.gov (United States)

    Smith, Jennifer E; Gavrilets, Sergey; Mulder, Monique Borgerhoff; Hooper, Paul L; Mouden, Claire El; Nettle, Daniel; Hauert, Christoph; Hill, Kim; Perry, Susan; Pusey, Anne E; van Vugt, Mark; Smith, Eric Alden

    2016-01-01

    Leadership is an active area of research in both the biological and social sciences. This review provides a transdisciplinary synthesis of biological and social-science views of leadership from an evolutionary perspective, and examines patterns of leadership in a set of small-scale human and non-human mammalian societies. We review empirical and theoretical work on leadership in four domains: movement, food acquisition, within-group conflict mediation, and between-group interactions. We categorize patterns of variation in leadership in five dimensions: distribution (across individuals), emergence (achieved versus inherited), power, relative payoff to leadership, and generality (across domains). We find that human leadership exhibits commonalities with and differences from the broader mammalian pattern, raising interesting theoretical and empirical issues. Copyright © 2015 Elsevier Ltd. All rights reserved.

  11. Science Song Project: Integration of Science, Technology and Music to Learn Science and Process Skills

    Directory of Open Access Journals (Sweden)

    Jiyoon Yoon

    2017-07-01

    Full Text Available It has been critical to find a way for teachers to motivate their young children to learn science and improve science achievement. Since music has been used as a tool for educating young students, this study introduces the science song project to teacher candidates that contains science facts, concepts, laws and theories, and combines them with music for motivating their young children to learn science and improve science achievement. The purpose of the study is to determine the effect of the science song project on teacher candidates’ understanding of science processing skills and their attitudes toward science. The participants were 45 science teacher candidates who were enrolled in an EC-6 (Early Childhood through Grade 6 program in the teacher certification program at a racially diverse Texas public research university. To collect data, this study used two instruments: pre-and post-self efficacy tests before and after the science teacher candidates experienced the science song project and final reflective essay at the end of the semester. The results show that while developing their songs, the participating teacher candidates experienced a process for science practice, understood science concepts and facts, and positively improved attitudes toward science. This study suggests that the science song project is a science instruction offering rich experiences of process-based learning and positive attitudes toward science.

  12. Migrating Open Science Grid to RPMs

    International Nuclear Information System (INIS)

    Roy, Alain

    2012-01-01

    We recently completed a significant transition in the Open Science Grid (OSG) in which we moved our software distribution mechanism from the useful but niche system called Pacman to a community-standard native package system, RPM. In this paper we explore some of the lessons learned during this transition as well as our earlier work, lessons that we believe are valuable not only for software distribution and packaging, but also for software engineering in a distributed computing environment where reliability is critical. We discuss the benefits found in moving to a community standard, including the abilities to reuse existing packaging, to donate existing packaging back to the community, and to leverage existing skills in the community. We describe our approach to testing in which we test our software against multiple versions of the OS, including pre-releases of the OS, in order to find surprises before our users do. Finally, we discuss our large-scale evaluation testing and community testing, which are essential for both quality and community acceptance.

  13. The Double Helix: Why Science Needs Science Fiction.

    Science.gov (United States)

    Andreadis, Athena

    2003-01-01

    Discusses why science needs science fiction, commenting on the author's book about science that draws heavily on the "Star Trek" series. The best science, in spite of popular thinking, comes from leaps of intuition, and science fiction provides a creative spark that encourages participation in science. (SLD)

  14. Knowledge machines digital transformations of the sciences and humanities

    CERN Document Server

    Meyer, Eric T

    2015-01-01

    In Knowledge Machines, Eric Meyer and Ralph Schroeder argue that digital technologies have fundamentally changed research practices in the sciences, social sciences, and humanities. Meyer and Schroeder show that digital tools and data, used collectively and in distributed mode -- which they term e-research -- have transformed not just the consumption of knowledge but also the production of knowledge. Digital technologies for research are reshaping how knowledge advances in disciplines that range from physics to literary analysis. Meyer and Schroeder map the rise of digital research and offer case studies from many fields, including biomedicine, social science uses of the Web, astronomy, and large-scale textual analysis in the humanities. They consider such topics as the challenges of sharing research data and of big data approaches, disciplinary differences and new forms of interdisciplinary collaboration, the shifting boundaries between researchers and their publics, and the ways that digital tools promote o...

  15. The Utility of a Physics Education in Science Policy

    Science.gov (United States)

    Roberts, Drew

    2016-03-01

    In order for regulators to create successful policies on technical issues, ranging from environmental protection to distribution of national Grant money, the scientific community must play an integral role in the legislative process. Through a summer-long internship with the Science, Space, and Technology Committee of the U.S. House of Representatives, I have learned that skills developed while pursuing an undergraduate degree in physics are very valuable in the policy realm. My physics education provided me the necessary tools to bridge the goals of the scientific and political communities. The need for effective comprehension and communication of technical subjects provides an important opportunity for individuals with physics degrees to make substantial contributions to government policy. Science policy should be encouraged as one of the many career pathways for physics students. Society of Physics Students, John and Jane Mather Foundation for Science and the Arts.

  16. Attitudes and learning difficulties in middle school science in South Korea

    Science.gov (United States)

    Jung, Eun Sook

    The purpose of this study is to investigate the relationship between cognitive and attitudinal aspects of learning science, concentrating mainly on the influence of cognitive understanding and learning difficulty on attitudes to science. This theme is selected, in particular, because it is reported that Korean students at secondary level do not enjoy studying science and have not enough confidence, although their achievements are high. Johnstone's information processing model (1993) is used to account for cognitive aspects of science education. Learning processes are understood in terms of student's own knowledge construction through the operation of perception filters, processing in working memory space and storing in long term memory. In particular, the overload of student's working memory space is considered as the main factor causing learning difficulty and, in consequence, learning failure. The research took place in one middle school located in Seoul, the capital city in South Korea. 364 students aged 13 and 350 aged 15 participated. In order to try to find relationships between cognitive and affective factors of science learning, individual student's working memory space was measured and a questionnaire designed to gather information about students' attitudes was prepared and given to all students. To determine the working memory space capacity of the students, the Figural Intersection Test (F.I.T), designed by Pascual-Leone, was used. Two kinds of analysis, comparison and correlation, were performed with data from the Figural Intersection Test and the questionnaire applied to students. For the comparison of attitudes between age 13 and 15, the distributions of frequencies of responses were analyzed for each particular statement in a question. The Chi-square (?[2]) test was applied to judge the statistically significant differences in responses of the two groups. The levels of significance used were 0.05, 0.01 and 0.001. In order to see whether there is

  17. Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) Science Plan: A Community-based Infrastructure Initiative

    Science.gov (United States)

    Wilson, J. L.; Dressler, K.; Hooper, R. P.

    2005-12-01

    The river basin is a fundamental unit of the landscape and water in that defined landscape plays a central role in shaping the land surface, in dissolving minerals, in transporting chemicals, and in determining species distribution. Therefore, the river basin is a natural observatory for examining hydrologic phenomena and the complex interaction of physical, chemical, and biological processes that control them. CUAHSI, incorporated in 2001, is a community-based research infrastructure initiative formed to mobilize the hydrologic community through addressing key science questions and leveraging nationwide hydrologic resources from its member institutions and collaborative partners. Through an iterative community-based process, it has been previously proposed to develop a network of hydrologic infrastructure that organizes around scales on the order of 10,000 km2 to examine critical interfaces such as the land-surface, atmosphere, and human impact. Data collection will characterize the stores, fluxes, physical pathways, and residence time distributions of water, sediment, nutrients, and contaminants coherently at nested scales. These fundamental properties can be used by a wide range of scientific disciplines to address environmental questions. This more complete characterization will enable new linkages to be identified and hypotheses to be tested more incisively. With such a research platform, hydrologic science can advance beyond measuring streamflow or precipitation input to understanding how the river basin functions in both its internal processes and in responding to environmental stressors. That predictive understanding is needed to make informed decisions as development and even natural pressures stress existing water supplies and competing demands for water require non-traditional solutions that take into consideration economic, environmental, and social factors. Advanced hydrologic infrastructure will enable research for a broad range of multidisciplinary

  18. A shared-world conceptual model for integrating space station life sciences telescience operations

    Science.gov (United States)

    Johnson, Vicki; Bosley, John

    1988-01-01

    Mental models of the Space Station and its ancillary facilities will be employed by users of the Space Station as they draw upon past experiences, perform tasks, and collectively plan for future activities. The operational environment of the Space Station will incorporate telescience, a new set of operational modes. To investigate properties of the operational environment, distributed users, and the mental models they employ to manipulate resources while conducting telescience, an integrating shared-world conceptual model of Space Station telescience is proposed. The model comprises distributed users and resources (active elements); agents who mediate interactions among these elements on the basis of intelligent processing of shared information; and telescience protocols which structure the interactions of agents as they engage in cooperative, responsive interactions on behalf of users and resources distributed in space and time. Examples from the life sciences are used to instantiate and refine the model's principles. Implications for transaction management and autonomy are discussed. Experiments employing the model are described which the authors intend to conduct using the Space Station Life Sciences Telescience Testbed currently under development at Ames Research Center.

  19. Science Teaching in Science Education

    Science.gov (United States)

    Callahan, Brendan E.; Dopico, Eduardo

    2016-01-01

    Reading the interesting article "Discerning selective traditions in science education" by Per Sund, which is published in this issue of "CSSE," allows us to open the discussion on procedures for teaching science today. Clearly there is overlap between the teaching of science and other areas of knowledge. However, we must…

  20. Modeling error distributions of growth curve models through Bayesian methods.

    Science.gov (United States)

    Zhang, Zhiyong

    2016-06-01

    Growth curve models are widely used in social and behavioral sciences. However, typical growth curve models often assume that the errors are normally distributed although non-normal data may be even more common than normal data. In order to avoid possible statistical inference problems in blindly assuming normality, a general Bayesian framework is proposed to flexibly model normal and non-normal data through the explicit specification of the error distributions. A simulation study shows when the distribution of the error is correctly specified, one can avoid the loss in the efficiency of standard error estimates. A real example on the analysis of mathematical ability growth data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998-99 is used to show the application of the proposed methods. Instructions and code on how to conduct growth curve analysis with both normal and non-normal error distributions using the the MCMC procedure of SAS are provided.

  1. IRIS Toxicological Review of Hydrogen Cyanide and Cyanide Salts (Interagency Science Discussion Draft)

    Science.gov (United States)

    EPA is releasing the draft report, Toxicological Review of Hydrogen Cyanide (HCN) and Cyanide Salts, that was distributed to Federal agencies and White House Offices for comment during the Science Discussion step of the IRIS As...

  2. The Distribution of Road Salt in Private Drinking Water Wells in a Southeastern New York Suburban Township.

    Science.gov (United States)

    Kelly, Victoria R; Cunningham, Mary Ann; Curri, Neil; Findlay, Stuart E; Carroll, Sean M

    2018-05-01

    We used a GIS analysis of sodium and chloride concentrations in private water wells in a southeastern New York township to describe the pattern of distribution of road salt in aquifers tapped for drinking water. The primary source of road salt was sodium chloride, and sodium and chloride concentrations were significantly correlated ( = 0.80, road ( = 0.76, road had higher concentrations of chloride than wells that were higher than the nearest road, but this occurred only when the nearest road was >30 m from the wells ( road type (major or minor roads). Surface geology and hydrologic soil class had significant effects ( road salt contamination of groundwater is unevenly distributed and is affected by landscape factors that can be used to guide well testing and best management practices of deicing salt distribution. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

  3. Authenticated multi-user quantum key distribution with single particles

    Science.gov (United States)

    Lin, Song; Wang, Hui; Guo, Gong-De; Ye, Guo-Hua; Du, Hong-Zhen; Liu, Xiao-Fen

    2016-03-01

    Quantum key distribution (QKD) has been growing rapidly in recent years and becomes one of the hottest issues in quantum information science. During the implementation of QKD on a network, identity authentication has been one main problem. In this paper, an efficient authenticated multi-user quantum key distribution (MQKD) protocol with single particles is proposed. In this protocol, any two users on a quantum network can perform mutual authentication and share a secure session key with the assistance of a semi-honest center. Meanwhile, the particles, which are used as quantum information carriers, are not required to be stored, therefore the proposed protocol is feasible with current technology. Finally, security analysis shows that this protocol is secure in theory.

  4. A Reconstructed Vision of Environmental Science Literacy: The case of Qatar

    Science.gov (United States)

    Khishfe, Rola

    2014-12-01

    The purpose of this study was twofold: (a) develop a conceptual framework for environmental science literacy; and consequently (b) examine the potential of science standards/curricula to prepare environmentally literate citizens. The framework comprised four pillars: science content knowledge, scientific inquiry, nature of science (NOS), and socioscientific issues (SSI). A conceptual understanding of these pillars as interconnected was presented and justified. Then the developed framework was used to examine the potential of the Qatari science standards to prepare environmentally literate citizens. Results showed that the secondary Qatari science standards generally take up the pillars of science content and scientific inquiry in an explicit manner. The NOS pillar is rarely addressed, while the SSI pillar is not addressed in the objectives and activities in a way that aligns with the heavy emphasis given in the overall aims. Moreover, the connections among pillars are mostly manifested within the activities and between the science content and scientific inquiry. The objectives and activities targeting the environment were less frequent among the four pillars across the Qatari standards. Again, the connections related to the environment were less frequent in conformity with the limited environmental objectives and activities. Implications from this study relate to the need for the distribution of the four pillars across the standards as well as the presentation of the different pillars as interconnected.

  5. How to Motivate Science Teachers to Use Science Experiments

    Directory of Open Access Journals (Sweden)

    Josef Trna

    2012-10-01

    Full Text Available A science experiment is the core tool in science education. This study describes the science teachers' professional competence to implement science experiments in teaching/learning science. The main objective is the motivation of science teachers to use science experiments. The presented research tries to answer questions aimed at the science teachers' skills to use science experiments in teaching/learning science. The research discovered the following facts: science teachers do not include science experiments in teaching/learning in a suitable way; are not able to choose science experiments corresponding to the teaching phase; prefer teachers' demonstration of science experiments; are not able to improvise with the aids; use only a few experiments. The important research result is that an important motivational tool for science teachers is the creation of simple experiments. Examples of motivational simple experiments used into teachers' training for increasing their own creativity and motivation are presented.

  6. Inseparability of science history and discovery

    Directory of Open Access Journals (Sweden)

    J. M. Herndon

    2010-04-01

    Full Text Available Science is very much a logical progression through time. Progressing along a logical path of discovery is rather like following a path through the wilderness. Occasionally the path splits, presenting a choice; the correct logical interpretation leads to further progress, the wrong choice leads to confusion. By considering deeply the relevant science history, one might begin to recognize past faltering in the logical progression of observations and ideas and, perhaps then, to discover new, more precise understanding. The following specific examples of science faltering are described from a historical perspective: (1 Composition of the Earth's inner core; (2 Giant planet internal energy production; (3 Physical impossibility of Earth-core convection and Earth-mantle convection, and; (4 Thermonuclear ignition of stars. For each example, a revised logical progression is described, leading, respectively, to: (1 Understanding the endo-Earth's composition; (2 The concept of nuclear georeactor origin of geo- and planetary magnetic fields; (3 The invalidation and replacement of plate tectonics; and, (4 Understanding the basis for the observed distribution of luminous stars in galaxies. These revised logical progressions clearly show the inseparability of science history and discovery. A different and more fundamental approach to making scientific discoveries than the frequently discussed variants of the scientific method is this: An individual ponders and through tedious efforts arranges seemingly unrelated observations into a logical sequence in the mind so that causal relationships become evident and new understanding emerges, showing the path for new observations, for new experiments, for new theoretical considerations, and for new discoveries. Science history is rich in "seemingly unrelated observations" just waiting to be logically and causally related to reveal new discoveries.

  7. Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition

    Science.gov (United States)

    Rogers, Timothy T.; McClelland, James L.

    2014-01-01

    This paper introduces a special issue of "Cognitive Science" initiated on the 25th anniversary of the publication of "Parallel Distributed Processing" (PDP), a two-volume work that introduced the use of neural network models as vehicles for understanding cognition. The collection surveys the core commitments of the PDP…

  8. Varietal Distributions of Stilbenes in Grape Cane of Vitis vinifera L.

    Czech Academy of Sciences Publication Activity Database

    Soural, I.; Balík, J.; Vrchotová, Naděžda; Tříska, Jan

    2017-01-01

    Roč. 20, č. 1 (2017), s. 11-14 ISSN 1335-2563 R&D Projects: GA MŠk(CZ) LO1415; GA MŠk(CZ) LD14038 Institutional support: RVO:86652079 Keywords : Vitis vinifera L. * varieties * grape canes * stilbenes * distribution Subject RIV: EH - Ecology, Behaviour OBOR OECD: Environmental sciences (social aspects to be 5.7)

  9. Management of science policy, sociology of science policy and economics of science policy

    CERN Document Server

    Ruivo, Beatriz

    2017-01-01

    'Management of science policy, sociology of science policy and economics of science policy' is a theoretical essay on the scientific foundation of science policy (formulation, implementation, instruments and procedures). It can be also used as a textbook.

  10. The Geology of Somalia: A Selected Bibliography of Somalian Geology, Geography and Earth Science

    Science.gov (United States)

    2007-02-01

    emerge and are amplified. More specifically, we argue that the relation between cinema and enactments of geopolitical intervention must be understood...the spp found are widely distributed in the Indo- Malaysian area. Database: ASFA: Aquatic Sciences and Fisheries Abstracts. Sartoni, G. 1974...Indian ocean is very scarce. The presence of a remarkable percentage of spp that are widely distributed in the Indo- Malaysian area, has been found

  11. Distributed Data Analysis in ATLAS

    CERN Document Server

    Nilsson, P; The ATLAS collaboration

    2012-01-01

    Data analysis using grid resources is one of the fundamental challenges to be addressed before the start of LHC data taking. The ATLAS detector will produce petabytes of data per year, and roughly one thousand users will need to run physics analyses on this data. Appropriate user interfaces and helper applications have been made available to ensure that the grid resources can be used without requiring expertise in grid technology. These tools enlarge the number of grid users from a few production administrators to potentially all participating physicists. ATLAS makes use of three grid infrastructures for the distributed analysis: the EGEE sites, the Open Science Grid, and NorduGrid. These grids are managed by the gLite workload management system, the PanDA workload management system, and ARC middleware; many sites can be accessed via both the gLite WMS and PanDA. Users can choose between two front-end tools to access the distributed resources. Ganga is a tool co-developed with LHCb to provide a common interfa...

  12. [Ozone concentration distribution of urban].

    Science.gov (United States)

    Yin, Yong-quan; Li, Chang-mei; Ma, Gui-xia; Cui, Zhao-jie

    2004-11-01

    The increase of ozone concentration in urban is one of the most important research topics on environmental science. With the increase of nitrogen oxides and hydrogen-carbon compounds which are exhausted from cars, the ozone concentration in urban is obviously increased on sunlight, and threat of photochemistry smog will be possible. Therefore, it is very important to monitor and study the ozone concentration distribution in urban. The frequency-distribution, diurnal variation and monthly variation of ozone concentration were studied on the campus of Shandong University during six months monitoring. The influence of solar radiation and weather conditions on ozone concentration were discussed. The frequency of ozone concentration less than 200 microg/m3 is 96.88%. The ozone concentration has an obvious diurnal variation. The ozone concentration in the afternoon is higher than in the morning and in the evening. The maximum appears in June, when it is the strong solar radiation and high air-temperature. The weather conditions also influence the ozone concentration. The ozone concentration in clear day is higher than in rainy and cloudy day.

  13. Distribution and abundance of small plastic debris on beaches in the SE Pacific (Chile): a study supported by a citizen science project.

    Science.gov (United States)

    Hidalgo-Ruz, Valeria; Thiel, Martin

    2013-01-01

    The accumulation of large and small plastic debris is a problem throughout the world's oceans and coastlines. Abundances and types of small plastic debris have only been reported for some isolated beaches in the SE Pacific, but these data are insufficient to evaluate the situation in this region. The citizen science project "National Sampling of Small Plastic Debris" was supported by schoolchildren from all over Chile who documented the distribution and abundance of small plastic debris on Chilean beaches. Thirty-nine schools and nearly 1000 students from continental Chile and Easter Island participated in the activity. To validate the data obtained by the students, all samples were recounted in the laboratory. The results of the present study showed that the students were able to follow the instructions and generate reliable data. The average abundance obtained was 27 small plastic pieces per m(2) for the continental coast of Chile, but the samples from Easter Island had extraordinarily higher abundances (>800 items per m(2)). The abundance of small plastic debris on the continental coast could be associated with coastal urban centers and their economic activities. The high abundance found on Easter Island can be explained mainly by the transport of plastic debris via the surface currents in the South Pacific Subtropical Gyre, resulting in the accumulation of small plastic debris on the beaches of the island. This first report of the widespread distribution and abundance of small plastic debris on Chilean beaches underscores the need to extend plastic debris research to ecological aspects of the problem and to improve waste management. Copyright © 2013 Elsevier Ltd. All rights reserved.

  14. Materials Sciences programs. Fiscal year 1982

    International Nuclear Information System (INIS)

    1982-09-01

    The purpose of this report is to provide a convenient compilation and index of the DOE Materials Sciences Division programs. This compilation is intended for use by administrators, managers, and scientists to help coordinate research and as an aid in selecting new programs. The report is divided into five sections. Section A contains all laboratory projects, Section B has all contract research projects, Section C has information on DOE collaborative research centers, Section D shows distribution of funding, and Section E has various indices

  15. Is normal science good science?

    Directory of Open Access Journals (Sweden)

    Adrianna Kępińska

    2015-09-01

    Full Text Available “Normal science” is a concept introduced by Thomas Kuhn in The Structure of Scientific Revolutions (1962. In Kuhn’s view, normal science means “puzzle solving”, solving problems within the paradigm—framework most successful in solving current major scientific problems—rather than producing major novelties. This paper examines Kuhnian and Popperian accounts of normal science and their criticisms to assess if normal science is good. The advantage of normal science according to Kuhn was “psychological”: subjective satisfaction from successful “puzzle solving”. Popper argues for an “intellectual” science, one that consistently refutes conjectures (hypotheses and offers new ideas rather than focus on personal advantages. His account is criticized as too impersonal and idealistic. Feyerabend’s perspective seems more balanced; he argues for a community that would introduce new ideas, defend old ones, and enable scientists to develop in line with their subjective preferences. The paper concludes that normal science has no one clear-cut set of criteria encompassing its meaning and enabling clear assessment.

  16. Chlorophyll-a, Orbview-2 SeaWiFS, 0.04167 degrees, Alaska, Science Quality

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NASA GSFC Ocean Color Web distributes science-quality chlorophyll-a concentration data from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) on the Orbview-2...

  17. A distributed system for visualizing and analyzing multivariate and multidisciplinary data

    Science.gov (United States)

    Jacobson, Allan S.; Allen, Mark; Bailey, Michael; Blom, Ronald; Blume, Leo; Elson, Lee

    1993-01-01

    THe Linked Windows Interactive Data System (LinkWinds) is being developed with NASA support. The objective of this proposal is to adapt and apply that system in a complex network environment containing elements to be found by scientists working multidisciplinary teams on very large scale and distributed data sets. The proposed three year program will develop specific visualization and analysis tools, to be exercised locally and remotely in the LinkWinds environment, to demonstrate visual data analysis, interdisciplinary data analysis and cooperative and interactive televisualization and analysis of data by geographically separated science teams. These demonstrators will involve at least two science disciplines with the aim of producing publishable results.

  18. 75 FR 10845 - Subcommittee on Forensic Science; Committee on Science; National Science and Technology Council

    Science.gov (United States)

    2010-03-09

    ... OFFICE OF SCIENCE AND TECHNOLOGY POLICY Subcommittee on Forensic Science; Committee on Science... participants. SUMMARY: The Subcommittee on Forensic Science of the National Science and Technology Council's... . Kenneth E. Melson, Co-Chair, Subcommittee on Forensic Science. [FR Doc. 2010-4899 Filed 3-8-10; 8:45 am...

  19. Wind Diffusivity Current, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Meridional

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data. This data begins with wind velocity...

  20. Wind Diffusivity Current, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Zonal

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data. This data begins with wind velocity...

  1. Wind Diffusivity Current, QuikSCAT SeaWinds, 0.25 degrees, Global, Science Quality, Modulus

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data. This data begins with wind velocity...

  2. The physics of distributed information systems

    International Nuclear Information System (INIS)

    Aurell, Erik

    2013-01-01

    This paper aims to introduce Distributed Systems as a field where the ideas and methods of physics can potentially be applied, and to provide entry points to a wide literature. The contributions of Leslie Lamport, inspired by Relativity Theory, and of Edsger Dijkstra, which has the flavor of a growth process, are discussed at some length. The intent of the author is primarily to stimulate interest in the statistical physics community, and the discussions are therefore framed in a non-technical language; the author apologizes in advance to readers from the computer science side for the unavoidable impreciseness and ambiguities

  3. Science in Science Fiction.

    Science.gov (United States)

    Allday, Jonathan

    2003-01-01

    Offers some suggestions as to how science fiction, especially television science fiction programs such as "Star Trek" and "Star Wars", can be drawn into physics lessons to illuminate some interesting issues. (Author/KHR)

  4. Hollywood Science: Good for Hollywood, Bad for Science?

    Science.gov (United States)

    Perkowitz, Sidney

    2009-03-01

    Like it or not, most science depicted in feature films is in the form of science fiction. This isn't likely to change any time soon, if only because science fiction films are huge moneymakers for Hollywood. But beyond that, these films are a powerful cultural force. They reach millions as they depict scientific ideas from DNA and cloning to space science, whether correctly or incorrectly; reflect contemporary issues of science and society like climate change, nuclear power and biowarfare; inspire young people to become scientists; and provide defining images -- or stereotypes -- of scientists for the majority of people who've never met a real one. Certainly, most scientists feel that screen depictions of science and scientists are badly distorted. Many are, but not always. In this talk, based on my book Hollywood Science [1], I'll show examples of good and bad screen treatments of science, scientists, and their impact on society. I'll also discuss efforts to improve how science is treated in film and ways to use even bad movie science to convey real science. [4pt] [1] Sidney Perkowitz, Hollywood Science: Movies, Science, and the End of the World (Columbia University Press, New York, 2007). ISBN: 978-0231142809

  5. Communicating Science

    Science.gov (United States)

    Russell, Nicholas

    2009-10-01

    Introduction: what this book is about and why you might want to read it; Prologue: three orphans share a common paternity: professional science communication, popular journalism, and literary fiction are not as separate as they seem; Part I. Professional Science Communication: 1. Spreading the word: the endless struggle to publish professional science; 2. Walk like an Egyptian: the alien feeling of professional science writing; 3. The future's bright? Professional science communication in the age of the internet; 4. Counting the horse's teeth: professional standards in science's barter economy; 5. Separating the wheat from the chaff: peer review on trial; Part II. Science for the Public: What Science Do People Need and How Might They Get It?: 6. The Public Understanding of Science (PUS) movement and its problems; 7. Public engagement with science and technology (PEST): fine principle, difficult practice; 8. Citizen scientists? Democratic input into science policy; 9. Teaching and learning science in schools: implications for popular science communication; Part III. Popular Science Communication: The Press and Broadcasting: 10. What every scientist should know about mass media; 11. What every scientist should know about journalists; 12. The influence of new media; 13. How the media represents science; 14. How should science journalists behave?; Part IV. The Origins of Science in Cultural Context: Five Historic Dramas: 15. A terrible storm in Wittenberg: natural knowledge through sorcery and evil; 16. A terrible storm in the Mediterranean: controlling nature with white magic and religion; 17. Thieving magpies: the subtle art of false projecting; 18. Foolish virtuosi: natural philosophy emerges as a distinct discipline but many cannot take it seriously; 19. Is scientific knowledge 'true' or should it just be 'truthfully' deployed?; Part V. Science in Literature: 20. Science and the Gothic: the three big nineteenth-century monster stories; 21. Science fiction: serious

  6. USRA's NCSEFSE: a new National Center for Space, Earth, and Flight Sciences Education

    Science.gov (United States)

    Livengood, T. A.; Goldstein, J.; Vanhala, H.; Hamel, J.; Miller, E. A.; Pulkkinen, K.; Richards, S.

    2005-08-01

    A new National Center for Space, Earth, and Flight Sciences Education (NCSEFSE) has been created in the Washington, DC metropolitan area under the auspices of the Universities Space Research Association. The NCSEFSE provides education and public outreach services in the areas of NASA's research foci in programs of both national and local scope. Present NCSEFSE programs include: Journey through the Universe, which unites formal and informal education within communities and connects a nationally-distributed network of communities from Hilo, HI to Washington, DC with volunteer Visiting Researchers and thematic education modules; the Voyage Scale Model Solar System exhibition on the National Mall, a showcase for planetary science placed directly outside the National Air and Space Museum; educational module development and distribution for the MESSENGER mission to Mercury through a national cadre of MESSENGER Educator Fellows; Teachable Moments in the News, which capitalizes on current events in space, Earth, and flight sciences to teach the science that underlies students' natural interests; the Voyages Across the Universe Speakers' Bureau; and Family Science Night at the National Air and Space Museum, which reaches audiences of 2000--3000 each year, drawn from the Washington metropolitan area. Staff scientists of NCSEFSE maintain active research programs, presently in the areas of planetary atmospheric composition, structure, and dynamics, and in solar system formation. NCSEFSE scientists thus are able to act as authentic representatives of frontier scientific research, and ensure accuracy, relevance, and significance in educational products. NCSEFSE instructional designers and educators ensure pedagogic clarity and effectiveness, through a commitment to quantitative assessment.

  7. Contemporary issues in systems science and engineering

    CERN Document Server

    Zhou, M; Weijnen, M

    2015-01-01

    This volume provides a comprehensive overview of all important areas in systems science and engineering and poses the issues and challenges in these areas in order to deal with ever-increasingly complex systems and newly emergent applications. The topics range from discrete event systems, distributed intelligent systems, grey systems, and enterprise information systems to conflict resolution, robotics and intelligent sensing, smart grids, and system of systems approaches. Individual chapters are written by leading experts in the field.

  8. Does science education need the history of science?

    Science.gov (United States)

    Gooday, Graeme; Lynch, John M; Wilson, Kenneth G; Barsky, Constance K

    2008-06-01

    This essay argues that science education can gain from close engagement with the history of science both in the training of prospective vocational scientists and in educating the broader public about the nature of science. First it shows how historicizing science in the classroom can improve the pedagogical experience of science students and might even help them turn into more effective professional practitioners of science. Then it examines how historians of science can support the scientific education of the general public at a time when debates over "intelligent design" are raising major questions over the kind of science that ought to be available to children in their school curricula. It concludes by considering further work that might be undertaken to show how history of science could be of more general educational interest and utility, well beyond the closed academic domains in which historians of science typically operate.

  9. Avenues for crowd science in Hydrology.

    Science.gov (United States)

    Koch, Julian; Stisen, Simon

    2016-04-01

    Crowd science describes research that is conducted with the participation of the general public (the crowd) and gives the opportunity to involve the crowd in research design, data collection and analysis. In various fields, scientists have already drawn on underused human resources to advance research at low cost, with high transparency and large acceptance of the public due to the bottom up structure and the participatory process. Within the hydrological sciences, crowd research has quite recently become more established in the form of crowd observatories to generate hydrological data on water quality, precipitation or river flow. These innovative observatories complement more traditional ways of monitoring hydrological data and strengthen a community-based environmental decision making. However, the full potential of crowd science lies in internet based participation of the crowd and it is not yet fully exploited in the field of Hydrology. New avenues that are not primarily based on the outsourcing of labor, but instead capitalize the full potential of human capabilities have to emerge. In multiple realms of solving complex problems, like image detection, optimization tasks, narrowing of possible solutions, humans still remain more effective than computer algorithms. The most successful online crowd science projects Foldit and Galaxy Zoo have proven that the collective of tens of thousands users could clearly outperform traditional computer based science approaches. Our study takes advantage of the well trained human perception to conduct a spatial sensitivity analysis of land-surface variables of a distributed hydrological model to identify the most sensitive spatial inputs. True spatial performance metrics, that quantitatively compare patterns, are not trivial to choose and their applicability is often not universal. On the other hand humans can quickly integrate spatial information at various scales and are therefore a trusted competence. We selected

  10. Communicating knowledge in science, science journalism and art

    DEFF Research Database (Denmark)

    Nielsen, Kristian Hvidtfelt

    Richter. The specialized knowledge about the image is communicated in three very different contexts with three very different outcomes. The paper uses Niklas Luhmann's system theory to describe science, science journalism, and art as autonomous social subsystems of communication. Also, Luhmann's notions...... of irritation and interference are employed to frame an interpretation of the complex relations between communicating knowledge about the image in science, science journalism, and art. Even though the functional differentiation between the communication systems of science, science journalism, and art remains...... that Richter's Erster Blick ends up questioning the epistemological and ontological grounds for communication of knowledge in science and in science journalism....

  11. Computation of Probabilities in Causal Models of History of Science

    Directory of Open Access Journals (Sweden)

    Osvaldo Pessoa Jr.

    2006-12-01

    Full Text Available : The aim of this paper is to investigate the ascription of probabilities in a causal model of an episode in the history of science. The aim of such a quantitative approach is to allow the implementation of the causal model in a computer, to run simulations. As an example, we look at the beginning of the science of magnetism, “explaining” — in a probabilistic way, in terms of a single causal model — why the field advanced in China but not in Europe (the difference is due to different prior probabilities of certain cultural manifestations. Given the number of years between the occurrences of two causally connected advances X and Y, one proposes a criterion for stipulating the value pY=X of the conditional probability of an advance Y occurring, given X. Next, one must assume a specific form for the cumulative probability function pY=X(t, which we take to be the time integral of an exponential distribution function, as is done in physics of radioactive decay. Rules for calculating the cumulative functions for more than two events are mentioned, involving composition, disjunction and conjunction of causes. We also consider the problems involved in supposing that the appearance of events in time follows an exponential distribution, which are a consequence of the fact that a composition of causes does not follow an exponential distribution, but a “hypoexponential” one. We suggest that a gamma distribution function might more adequately represent the appearance of advances.

  12. A data science based standardized Gini index as a Lorenz dominance preserving measure of the inequality of distributions.

    Science.gov (United States)

    Ultsch, Alfred; Lötsch, Jörn

    2017-01-01

    The Gini index is a measure of the inequality of a distribution that can be derived from Lorenz curves. While commonly used in, e.g., economic research, it suffers from ambiguity via lack of Lorenz dominance preservation. Here, investigation of large sets of empirical distributions of incomes of the World's countries over several years indicated firstly, that the Gini indices are centered on a value of 33.33% corresponding to the Gini index of the uniform distribution and secondly, that the Lorenz curves of these distributions are consistent with Lorenz curves of log-normal distributions. This can be employed to provide a Lorenz dominance preserving equivalent of the Gini index. Therefore, a modified measure based on log-normal approximation and standardization of Lorenz curves is proposed. The so-called UGini index provides a meaningful and intuitive standardization on the uniform distribution as this characterizes societies that provide equal chances. The novel UGini index preserves Lorenz dominance. Analysis of the probability density distributions of the UGini index of the World's counties income data indicated multimodality in two independent data sets. Applying Bayesian statistics provided a data-based classification of the World's countries' income distributions. The UGini index can be re-transferred into the classical index to preserve comparability with previous research.

  13. A data science based standardized Gini index as a Lorenz dominance preserving measure of the inequality of distributions.

    Directory of Open Access Journals (Sweden)

    Alfred Ultsch

    Full Text Available The Gini index is a measure of the inequality of a distribution that can be derived from Lorenz curves. While commonly used in, e.g., economic research, it suffers from ambiguity via lack of Lorenz dominance preservation. Here, investigation of large sets of empirical distributions of incomes of the World's countries over several years indicated firstly, that the Gini indices are centered on a value of 33.33% corresponding to the Gini index of the uniform distribution and secondly, that the Lorenz curves of these distributions are consistent with Lorenz curves of log-normal distributions. This can be employed to provide a Lorenz dominance preserving equivalent of the Gini index. Therefore, a modified measure based on log-normal approximation and standardization of Lorenz curves is proposed. The so-called UGini index provides a meaningful and intuitive standardization on the uniform distribution as this characterizes societies that provide equal chances. The novel UGini index preserves Lorenz dominance. Analysis of the probability density distributions of the UGini index of the World's counties income data indicated multimodality in two independent data sets. Applying Bayesian statistics provided a data-based classification of the World's countries' income distributions. The UGini index can be re-transferred into the classical index to preserve comparability with previous research.

  14. Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center Data Library

    Science.gov (United States)

    List, Kelleen M.; Buczkowski, Brian J.; McCarthy, Linda P.; Orton, Alice M.

    2015-08-17

    The U.S. Geological Survey Woods Hole Coastal and Marine Science Center has created a Data Library to organize, preserve, and make available the field, laboratory, and modeling data collected and processed by Woods Hole Coastal and Marine Science Center staff. This Data Library supports current research efforts by providing unique, historic datasets with accompanying metadata. The Woods Hole Coastal and Marine Science Center’s Data Library has custody of historic data and records that are still useful for research, and assists with preservation and distribution of marine science records and data in the course of scientific investigation and experimentation by researchers and staff at the science center.

  15. Social and natural sciences differ in their research strategies, adapted to work for different knowledge landscapes.

    Science.gov (United States)

    Jaffe, Klaus

    2014-01-01

    Do different fields of knowledge require different research strategies? A numerical model exploring different virtual knowledge landscapes, revealed two diverging optimal search strategies. Trend following is maximized when the popularity of new discoveries determine the number of individuals researching it. This strategy works best when many researchers explore few large areas of knowledge. In contrast, individuals or small groups of researchers are better in discovering small bits of information in dispersed knowledge landscapes. Bibliometric data of scientific publications showed a continuous bipolar distribution of these strategies, ranging from natural sciences, with highly cited publications in journals containing a large number of articles, to the social sciences, with rarely cited publications in many journals containing a small number of articles. The natural sciences seem to adapt their research strategies to landscapes with large concentrated knowledge clusters, whereas social sciences seem to have adapted to search in landscapes with many small isolated knowledge clusters. Similar bipolar distributions were obtained when comparing levels of insularity estimated by indicators of international collaboration and levels of country-self citations: researchers in academic areas with many journals such as social sciences, arts and humanities, were the most isolated, and that was true in different regions of the world. The work shows that quantitative measures estimating differences between academic disciplines improve our understanding of different research strategies, eventually helping interdisciplinary research and may be also help improve science policies worldwide.

  16. Science or Science Fiction?

    DEFF Research Database (Denmark)

    Lefsrud, Lianne M.; Meyer, Renate

    2012-01-01

    This paper examines the framings and identity work associated with professionals’ discursive construction of climate change science, their legitimation of themselves as experts on ‘the truth’, and their attitudes towards regulatory measures. Drawing from survey responses of 1077 professional......, legitimation strategies, and use of emotionality and metaphor. By linking notions of the science or science fiction of climate change to the assessment of the adequacy of global and local policies and of potential organizational responses, we contribute to the understanding of ‘defensive institutional work...

  17. Path to 'Stardom' in Globally Distributed Hybrid Teams

    DEFF Research Database (Denmark)

    Sarker, Suprateek; Hove-Kirkeby, Sarah; Sarker, Saonee

    2011-01-01

    recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying...... individuals who emerge as “stars” in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge-centered view in explaining which factors lead to “stardom” in such teams. Further, it adopts a social network approach consistent......Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing...

  18. Computational Materials Science | Materials Science | NREL

    Science.gov (United States)

    Computational Materials Science Computational Materials Science An image of interconnecting, sphere science capabilities span many research fields and interests. Electronic, Optical, and Transport Properties of Photovoltaic Materials Material properties and defect physics of Si, CdTe, III-V, CIGS, CZTS

  19. Species distribution models for a migratory bird based on citizen science and satellite tracking data

    Directory of Open Access Journals (Sweden)

    Christopher L. Coxen

    2017-07-01

    Full Text Available Species distribution models can provide critical baseline distribution information for the conservation of poorly understood species. Here, we compared the performance of band-tailed pigeon (Patagioenas fasciata species distribution models created using Maxent and derived from two separate presence-only occurrence data sources in New Mexico: 1 satellite tracked birds and 2 observations reported in eBird basic data set. Both models had good accuracy (test AUC > 0.8 and True Skill Statistic > 0.4, and high overlap between suitability scores (I statistic 0.786 and suitable habitat patches (relative rank 0.639. Our results suggest that, at the state-wide level, eBird occurrence data can effectively model similar species distributions as satellite tracking data. Climate change models for the band-tailed pigeon predict a 35% loss in area of suitable climate by 2070 if CO2 emissions drop to 1990 levels by 2100, and a 45% loss by 2070 if we continue current CO2 emission levels through the end of the century. These numbers may be conservative given the predicted increase in drought, wildfire, and forest pest impacts to the coniferous forests the species inhabits in New Mexico. The northern portion of the species’ range in New Mexico is predicted to be the most viable through time.

  20. Species distribution models for a migratory bird based on citizen science and satellite tracking data

    Science.gov (United States)

    Coxen, Christopher L.; Frey, Jennifer K.; Carleton, Scott A.; Collins, Daniel P.

    2017-01-01

    Species distribution models can provide critical baseline distribution information for the conservation of poorly understood species. Here, we compared the performance of band-tailed pigeon (Patagioenas fasciata) species distribution models created using Maxent and derived from two separate presence-only occurrence data sources in New Mexico: 1) satellite tracked birds and 2) observations reported in eBird basic data set. Both models had good accuracy (test AUC > 0.8 and True Skill Statistic > 0.4), and high overlap between suitability scores (I statistic 0.786) and suitable habitat patches (relative rank 0.639). Our results suggest that, at the state-wide level, eBird occurrence data can effectively model similar species distributions as satellite tracking data. Climate change models for the band-tailed pigeon predict a 35% loss in area of suitable climate by 2070 if CO2 emissions drop to 1990 levels by 2100, and a 45% loss by 2070 if we continue current CO2 emission levels through the end of the century. These numbers may be conservative given the predicted increase in drought, wildfire, and forest pest impacts to the coniferous forests the species inhabits in New Mexico. The northern portion of the species’ range in New Mexico is predicted to be the most viable through time.

  1. Advertising Citizen Science: A Trailer for the Citizen Sky Project

    Science.gov (United States)

    Wyatt, Ryan; Price, A.

    2012-01-01

    Citizen Sky is a multi-year, NSF funded citizen science project involving the bright and mysterious variable star epsilon Aurigae. The project was conceived by the IYA 2009 working group on Research Experiences for Students, Teachers, and Citizen-Scientists. Citizen Sky goes beyond simple observing to include a major data analysis component, introducing participants to the full scientific process from background research to paper writing for a peer-reviewed journal. As a means of generating interest in the project, the California Academy of Sciences produced a six-minute "trailer” formatted for both traditional and fulldome planetariums as well as HD and web applications. This talk will review the production process for the trailer as well as the methods of distribution via planetariums, social media, and other venues_along with an update on the Citizen Sky Project as a whole. We will show how to use a small, professionally-produced planetarium trailer to help spread word on a citizen science project. We will also show preliminary results on a study about how participation level/type in the project affects science learning.

  2. Recruiting Science Majors into Secondary Science Teaching: Paid Internships in Informal Science Settings

    Science.gov (United States)

    Worsham, Heather M.; Friedrichsen, Patricia; Soucie, Marilyn; Barnett, Ellen; Akiba, Motoko

    2014-01-01

    Despite the importance of recruiting highly qualified individuals into the science teaching profession, little is known about the effectiveness of particular recruitment strategies. Over 3 years, 34 college science majors and undecided students were recruited into paid internships in informal science settings to consider secondary science teaching…

  3. Expanding the Role of an Earth Science Data System: The GHRC Innovations Lab

    Science.gov (United States)

    Conover, H.; Ramachandran, R.; Smith, T.; Kulkarni, A.; Maskey, M.; He, M.; Keiser, K.; Graves, S. J.

    2013-12-01

    The Global Hydrology Resource Center is a NASA Earth Science Distributed Active Archive Center (DAAC), managed in partnership by the Earth Science Department at NASA's Marshall Space Flight Center and the University of Alabama in Huntsville's Information Technology and Systems Center. Established in 1991, the GHRC processes, archives and distributes global lightning data from space, airborne and ground based observations from hurricane science field campaigns and Global Precipitation Mission (GPM) ground validation experiments, and satellite passive microwave products. GHRC's close association with the University provides a path for technology infusion from the research center into the data center. The ITSC has a long history of designing and operating science data and information systems. In addition to the GHRC and related data management projects, the ITSC also conducts multidisciplinary research in many facets of information technology. The coupling of ITSC research with the operational GHRC Data Center has enabled the development of new technologies that directly impact the ability of researchers worldwide to apply Earth science data to their specific domains of interest. The GHRC Innovations Lab will provide a showcase for emerging geoinformatics technologies resulting from NASA-sponsored research at the ITSC. Research products to be deployed in the Innovations Lab include: * Data Albums - curated collections of information related to a specific science topic or event with links to relevant data files from different sources. * Data Prospecting - combines automated data mining techniques with user interaction to provide for quick exploration of large volumes of data. * Provenance Browser - provides for graphical exploration of data lineage and related contextual information. In the Innovations Lab, these technologies can be targeted to GHRC data sets, and tuned to address GHRC user interests. As technologies are tested and matured in the Innovations Lab, the

  4. Scientific Visualization & Modeling for Earth Systems Science Education

    Science.gov (United States)

    Chaudhury, S. Raj; Rodriguez, Waldo J.

    2003-01-01

    Providing research experiences for undergraduate students in Earth Systems Science (ESS) poses several challenges at smaller academic institutions that might lack dedicated resources for this area of study. This paper describes the development of an innovative model that involves students with majors in diverse scientific disciplines in authentic ESS research. In studying global climate change, experts typically use scientific visualization techniques applied to remote sensing data collected by satellites. In particular, many problems related to environmental phenomena can be quantitatively addressed by investigations based on datasets related to the scientific endeavours such as the Earth Radiation Budget Experiment (ERBE). Working with data products stored at NASA's Distributed Active Archive Centers, visualization software specifically designed for students and an advanced, immersive Virtual Reality (VR) environment, students engage in guided research projects during a structured 6-week summer program. Over the 5-year span, this program has afforded the opportunity for students majoring in biology, chemistry, mathematics, computer science, physics, engineering and science education to work collaboratively in teams on research projects that emphasize the use of scientific visualization in studying the environment. Recently, a hands-on component has been added through science student partnerships with school-teachers in data collection and reporting for the GLOBE Program (GLobal Observations to Benefit the Environment).

  5. Earth science big data at users' fingertips: the EarthServer Science Gateway Mobile

    Science.gov (United States)

    Barbera, Roberto; Bruno, Riccardo; Calanducci, Antonio; Fargetta, Marco; Pappalardo, Marco; Rundo, Francesco

    2014-05-01

    The EarthServer project (www.earthserver.eu), funded by the European Commission under its Seventh Framework Program, aims at establishing open access and ad-hoc analytics on extreme-size Earth Science data, based on and extending leading-edge Array Database technology. The core idea is to use database query languages as client/server interface to achieve barrier-free "mix & match" access to multi-source, any-size, multi-dimensional space-time data -- in short: "Big Earth Data Analytics" - based on the open standards of the Open Geospatial Consortium Web Coverage Processing Service (OGC WCPS) and the W3C XQuery. EarthServer combines both, thereby achieving a tight data/metadata integration. Further, the rasdaman Array Database System (www.rasdaman.com) is extended with further space-time coverage data types. On server side, highly effective optimizations - such as parallel and distributed query processing - ensure scalability to Exabyte volumes. In this contribution we will report on the EarthServer Science Gateway Mobile, an app for both iOS and Android-based devices that allows users to seamlessly access some of the EarthServer applications using SAML-based federated authentication and fine-grained authorisation mechanisms.

  6. Cognitive science contributions to decision science.

    Science.gov (United States)

    Busemeyer, Jerome R

    2015-02-01

    This article briefly reviews the history and interplay between decision theory, behavioral decision-making research, and cognitive psychology. The review reveals the increasingly important impact that psychology and cognitive science have on decision science. One of the main contributions of cognitive science to decision science is the development of dynamic models that describe the cognitive processes that underlay the evolution of preferences during deliberation phase of making a decision. Copyright © 2014 Elsevier B.V. All rights reserved.

  7. The sciences of science communication.

    Science.gov (United States)

    Fischhoff, Baruch

    2013-08-20

    The May 2012 Sackler Colloquium on "The Science of Science Communication" brought together scientists with research to communicate and scientists whose research could facilitate that communication. The latter include decision scientists who can identify the scientific results that an audience needs to know, from among all of the scientific results that it would be nice to know; behavioral scientists who can design ways to convey those results and then evaluate the success of those attempts; and social scientists who can create the channels needed for trustworthy communications. This overview offers an introduction to these communication sciences and their roles in science-based communication programs.

  8. A quantitative perspective on ethics in large team science.

    Science.gov (United States)

    Petersen, Alexander M; Pavlidis, Ioannis; Semendeferi, Ioanna

    2014-12-01

    The gradual crowding out of singleton and small team science by large team endeavors is challenging key features of research culture. It is therefore important for the future of scientific practice to reflect upon the individual scientist's ethical responsibilities within teams. To facilitate this reflection we show labor force trends in the US revealing a skewed growth in academic ranks and increased levels of competition for promotion within the system; we analyze teaming trends across disciplines and national borders demonstrating why it is becoming difficult to distribute credit and to avoid conflicts of interest; and we use more than a century of Nobel prize data to show how science is outgrowing its old institutions of singleton awards. Of particular concern within the large team environment is the weakening of the mentor-mentee relation, which undermines the cultivation of virtue ethics across scientific generations. These trends and emerging organizational complexities call for a universal set of behavioral norms that transcend team heterogeneity and hierarchy. To this end, our expository analysis provides a survey of ethical issues in team settings to inform science ethics education and science policy.

  9. Scientist Spotlight Homework Assignments Shift Students' Stereotypes of Scientists and Enhance Science Identity in a Diverse Introductory Science Class.

    Science.gov (United States)

    Schinske, Jeffrey N; Perkins, Heather; Snyder, Amanda; Wyer, Mary

    2016-01-01

    Research into science identity, stereotype threat, and possible selves suggests a lack of diverse representations of scientists could impede traditionally underserved students from persisting and succeeding in science. We evaluated a series of metacognitive homework assignments ("Scientist Spotlights") that featured counterstereotypical examples of scientists in an introductory biology class at a diverse community college. Scientist Spotlights additionally served as tools for content coverage, as scientists were selected to match topics covered each week. We analyzed beginning- and end-of-course essays completed by students during each of five courses with Scientist Spotlights and two courses with equivalent homework assignments that lacked connections to the stories of diverse scientists. Students completing Scientist Spotlights shifted toward counterstereotypical descriptions of scientists and conveyed an enhanced ability to personally relate to scientists following the intervention. Longitudinal data suggested these shifts were maintained 6 months after the completion of the course. Analyses further uncovered correlations between these shifts, interest in science, and course grades. As Scientist Spotlights require very little class time and complement existing curricula, they represent a promising tool for enhancing science identity, shifting stereotypes, and connecting content to issues of equity and diversity in a broad range of STEM classrooms. © 2016 J. N. Schinske et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  10. 75 FR 4882 - Subcommittee on Forensic Science; Committee on Science; National Science and Technology Council

    Science.gov (United States)

    2010-01-29

    ... OFFICE OF SCIENCE AND TECHNOLOGY POLICY Subcommittee on Forensic Science; Committee on Science; National Science and Technology Council ACTION: Notice of Panel Session. Public input is requested concerning appropriate Federal Executive Branch responses to the National Academy of Sciences 2009 report...

  11. Constructing a philosophy of science of cognitive science.

    Science.gov (United States)

    Bechtel, William

    2009-07-01

    Philosophy of science is positioned to make distinctive contributions to cognitive science by providing perspective on its conceptual foundations and by advancing normative recommendations. The philosophy of science I embrace is naturalistic in that it is grounded in the study of actual science. Focusing on explanation, I describe the recent development of a mechanistic philosophy of science from which I draw three normative consequences for cognitive science. First, insofar as cognitive mechanisms are information-processing mechanisms, cognitive science needs an account of how the representations invoked in cognitive mechanisms carry information about contents, and I suggest that control theory offers the needed perspective on the relation of representations to contents. Second, I argue that cognitive science requires, but is still in search of, a catalog of cognitive operations that researchers can draw upon in explaining cognitive mechanisms. Last, I provide a new perspective on the relation of cognitive science to brain sciences, one which embraces both reductive research on neural components that figure in cognitive mechanisms and a concern with recomposing higher-level mechanisms from their components and situating them in their environments. Copyright © 2009 Cognitive Science Society, Inc.

  12. 1st Hands-on Science Science Fair

    OpenAIRE

    Costa, Manuel F. M.; Esteves. Z.

    2017-01-01

    In school learning of science through investigative hands-on experiments is in the core of the Hands-on Science Network vision. However informal and non-formal contexts may also provide valuable paths for implementing this strategy aiming a better e!ective science education. In May 2011, a "rst country wide “Hands-on Science’ Science Fair” was organized in Portugal with the participation of 131 students that presented 38 projects in all "elds of Science. In this communication we will pr...

  13. Advances in software science and technology

    CERN Document Server

    Kamimura, Tsutomu

    1994-01-01

    This serial is a translation of the original works within the Japan Society of Software Science and Technology. A key source of information for computer scientists in the U.S., the serial explores the major areas of research in software and technology in Japan. These volumes are intended to promote worldwide exchange of ideas among professionals.This volume includes original research contributions in such areas as Augmented Language Logic (ALL), distributed C language, Smalltalk 80, and TAMPOPO-an evolutionary learning machine based on the principles of Realtime Minimum Skyline Detection.

  14. Materials Sciences Programs. Fiscal Year 1985

    International Nuclear Information System (INIS)

    1985-09-01

    The purpose of this report is to provide a convenient compilation and index of the DOE Materials Sciences Division programs. This compilation is primarily intended for use by administrators, managers, and scientists to help coordinate research. The report is divided into six sections. Section A contains all Laboratory projects, Section B has all contract research projects, Section C has projects funded under the Small Business Innovation Research Program, Sections D and E have information on DOE collaborative research centers, Section F gives distribution of funding, and Section G has various indexes

  15. A Comparative Survey of Lotka and Pao’s Laws Conformity with the Number of Researchers and Their Articles in Computer Science and Artificial Intelligence Fields in Web of Science (1986-2009

    Directory of Open Access Journals (Sweden)

    Farideh Osareh

    2011-10-01

    Full Text Available The purpose of this research was to examine the validity of Lotka and Pao’s laws with authorship distribution of "Computer Science" and "Artificial Intelligence" fields using Web of Science (WoS during 1986 to 2009 and comparing the results of examinations. This study was done by using the methods of citation analysis which are scientometrics techniques. The research sample includes all articles in computer science and artificial intelligence fields indexed in the databases accessible via Web of Science during 1986-2009; that were stored in 500 records files and added to "ISI.exe" software for analysis to be performed. Then, the required output of this software was saved in Excel. There were 19150 articles in the computer science field (by 45713 authors and 958 articles in artificial intelligence field (by 2487 authors. Then for final counting and analyzing, the data converted to “Excel” spreadsheet software. Lotka and Pao’s laws were tested using both Lotka’s formula: (for Lotka’s Law; also for testing Pao’s law the values of the exponent n and the constant c are computed and Kolmogorov-Smirnov goodness-of-fit tests were applied. The results suggested that author productivity distribution predicted in “Lotka's generalized inverse square law” was not applicable to computer science and artificial intelligence; but Pao’s law was applicable to these subject areas. Survey both literature and original examining of Lotka and Pao’s Laws witnessed some aspects should be considered. The main elements involved in fitting in a bibliometrics method have been identified: using Lotka or Pao’s law, subject area, period of time, measurement of authors, and a criterion for assessing goodness-of-fit.

  16. A Big Data Task Force Review of Advances in Data Access and Discovery Within the Science Disciplines of the NASA Science Mission Directorate (SMD)

    Science.gov (United States)

    Walker, R. J.; Beebe, R. F.

    2017-12-01

    One of the basic problems the NASA Science Mission Directorate (SMD) faces when dealing with preservation of scientific data is the variety of the data. This stems from the fact that NASA's involvement in the sciences spans a broad range of disciplines across the Science Mission Directorate: Astrophysics, Earth Sciences, Heliophysics and Planetary Science. As the ability of some missions to produce large data volumes has accelerated, the range of problems associated with providing adequate access to the data has demanded diverse approaches for data access. Although mission types, complexity and duration vary across the disciplines, the data can be characterized by four characteristics: velocity, veracity, volume, and variety. The rate of arrival of the data (velocity) must be addressed at the individual mission level, validation and documentation of the data (veracity), data volume and the wide variety of data products present huge challenges as the science disciplines strive to provide transparent access to their available data. Astrophysics, supports an integrated system of data archives based on frequencies covered (UV, visible, IR, etc.) or subject areas (extrasolar planets, extra galactic, etc.) and is accessed through the Astrophysics Data Center (https://science.nasa.gov/astrophysics/astrophysics-data-centers/). Earth Science supports the Earth Observing System (https://earthdata.nasa.gov/) that manages the earth science satellite data. The discipline supports 12 Distributed Active Archive Centers. Heliophysics provides the Space Physics Data Facility (https://spdf.gsfc.nasa.gov/) that supports the heliophysics community and Solar Data Analysis Center (https://umbra.nascom.nasa.gov/index.html) that allows access to the solar data. The Planetary Data System (https://pds.nasa.gov) is the main archive for planetary science data. It consists of science discipline nodes (Atmospheres, Geosciences, Cartography and Imaging Sciences, Planetary Plasma Interactions

  17. Informal science education at Science City

    Science.gov (United States)

    French, April Nicole

    The presentation of chemistry within informal learning environments, specifically science museums and science centers is very sparse. This work examines learning in Kansas City's Science City's Astronaut Training Center in order to identify specific behaviors associated with visitors' perception of learning and their attitudes toward space and science to develop an effective chemistry exhibit. Grounded in social-constructivism and the Contextual Model of Learning, this work approaches learning in informal environments as resulting from social interactions constructed over time from interaction between visitors. Visitors to the Astronaut Training Center were surveyed both during their visit and a year after the visit to establish their perceptions of behavior within the exhibit and attitudes toward space and science. Observations of visitor behavior and a survey of the Science City staff were used to corroborate visitor responses. Eighty-six percent of visitors to Science City indicated they had learned from their experiences in the Astronaut Training Center. No correlation was found between this perception of learning and visitor's interactions with exhibit stations. Visitor attitudes were generally positive toward learning in informal settings and space science as it was presented in the exhibit. Visitors also felt positively toward using video game technology as learning tools. This opens opportunities to developing chemistry exhibits using video technology to lessen the waste stream produced by a full scale chemistry exhibit.

  18. 76 FR 6163 - Subcommittee on Forensic Science; Committee on Science; National Science and Technology Council

    Science.gov (United States)

    2011-02-03

    ... Branch responses to the AFIS interoperability issues identified in the National Academy of Sciences 2009... OFFICE OF SCIENCE AND TECHNOLOGY POLICY Subcommittee on Forensic Science; Committee on Science; National Science and Technology Council ACTION: Notice of meeting. Public input is requested concerning...

  19. The Science of Science Communication and Protecting the Science Communication Environment

    Science.gov (United States)

    Kahan, D.

    2012-12-01

    Promoting public comprehension of science is only one aim of the science of science communication and is likely not the most important one for the well-being of a democratic society. Ordinary citizens form quadrillions of correct beliefs on matters that turn on complicated scientific principles they cannot even identify much less understand. The reason they fail to converge on beliefs consistent with scientific evidence on certain other consequential matters—from climate change to genetically modified foods to compusory adolescent HPV vaccination—is not the failure of scientists or science communicators to speak clearly or the inability of ordinary citizens to understand what they are saying. Rather, the source of such conflict is the proliferation of antagonistic cultural meanings. When they become attached to particular facts that admit of scientific investigation, these meanings are a kind of pollution of the science communication environment that disables the faculties ordinary citizens use to reliably absorb collective knowledge from their everyday interactions. The quality of the science communication environment is thus just as critical for enlightened self-government as the quality of the natural environment is for the physical health and well-being of a society's members. Understanding how this science communication environment works, fashioning procedures to prevent it from becoming contaminated with antagonistic meanings, and formulating effective interventions to detoxify it when protective strategies fail—those are the most critical functions science communication can perform in a democratic society.

  20. Evolution of NASA's Earth Science Digital Object Identifier Registration System

    Science.gov (United States)

    Wanchoo, Lalit; James, Nathan

    2017-01-01

    NASA's Earth Science Data and Information System (ESDIS) Project has implemented a fully automated system for assigning Digital Object Identifiers (DOIs) to Earth Science data products being managed by its network of 12 distributed active archive centers (DAACs). A key factor in the successful evolution of the DOI registration system over last 7 years has been the incorporation of community input from three focus groups under the NASA's Earth Science Data System Working Group (ESDSWG). These groups were largely composed of DOI submitters and data curators from the 12 data centers serving the user communities of various science disciplines. The suggestions from these groups were formulated into recommendations for ESDIS consideration and implementation. The ESDIS DOI registration system has evolved to be fully functional with over 5,000 publicly accessible DOIs and over 200 DOIs being held in reserve status until the information required for registration is obtained. The goal is to assign DOIs to the entire 8000+ data collections under ESDIS management via its network of discipline-oriented data centers. DOIs make it easier for researchers to discover and use earth science data and they enable users to provide valid citations for the data they use in research. Also for the researcher wishing to reproduce the results presented in science publications, the DOI can be used to locate the exact data or data products being cited.

  1. Distributed optimization-based control of multi-agent networks in complex environments

    CERN Document Server

    Zhu, Minghui

    2015-01-01

    This book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and their performance analysis. It synthesizes and analyzes distributed strategies for three collaborative tasks: distributed cooperative optimization, mobile sensor deployment and multi-vehicle formation control. The book integrates miscellaneous ideas and tools from dynamic systems, control theory, graph theory, optimization, game theory and Markov chains to address the particular challenges introduced by such complexities in the environment as topological dynamics, environmental uncertainties, and potential cyber-attack by human adversaries. The book is written for first- or second-year graduate students in a variety of engineering disciplines, including control, robotics, decision-making, optimization and algorithms and with backgrounds in aerospace engineering, computer science, electrical engineering, mechanical engineering and operations research. Resea...

  2. Science Smiles

    Indian Academy of Sciences (India)

    Home; Journals; Resonance – Journal of Science Education. Science Smiles. Articles in Resonance – Journal of Science Education. Volume 1 Issue 4 April 1996 pp 4-4 Science Smiles. Chief Editor's column / Science Smiles · R K Laxman · More Details Fulltext PDF. Volume 1 Issue 5 May 1996 pp 3-3 Science Smiles.

  3. A study of science leadership and science standards in exemplary standards-based science programs

    Science.gov (United States)

    Carpenter, Wendy Renae

    The purpose for conducting this qualitative study was to explore best practices of exemplary standards-based science programs and instructional leadership practices in a charter high school and in a traditional high school. The focus of this study included how twelve participants aligned practices to National Science Education Standards to describe their science programs and science instructional practices. This study used a multi-site case study qualitative design. Data were obtained through a review of literature, interviews, observations, review of educational documents, and researcher's notes collected in a field log. The methodology used was a multi-site case study because of the potential, through cross analysis, for providing greater explanation of the findings in the study (Merriam, 1988). This study discovered six characteristics about the two high school's science programs that enhance the literature found in the National Science Education Standards; (a) Culture of expectations for learning-In exemplary science programs teachers are familiar with a wide range of curricula. They have the ability to examine critically and select activities to use with their students to promote the understanding of science; (b) Culture of varied experiences-In exemplary science programs students are provided different paths to learning, which help students, take in information and make sense of concepts and skills that are set forth by the standards; (c) Culture of continuous feedback-In exemplary science programs teachers and students work together to engage students in ongoing assessments of their work and that of others as prescribed in the standards; (d) Culture of Observations-In exemplary science programs students, teachers, and principals reflect on classroom instructional practices; teachers receive ongoing evaluations about their teaching and apply feedback towards improving practices as outlined in the standards; (e) Culture of continuous learning-In exemplary

  4. Therapies for children with cerebral palsy A Web of Science-based literature analysis

    Institute of Scientific and Technical Information of China (English)

    Yaping Mu; Na Li; Lijun Guan; Chunnan Wang; Shuyun Shang; Yan Wang

    2012-01-01

    OBJECTIVE:To identify global research trends in three therapies for children with cerebral palsy.DATA RETRIEVAL:We performed a bibliometric analysis of studies on therapies for children with cerebral palsy from 2002 to 2011 retrieved from Web of Science.SELECTION CRITERIA:Inclusion criteria:(a)peer-reviewed published articles on botulinum toxin,constraint-induced movement therapy,or acupuncture for children with cerebral palsy indexed in Web of Science;(b)original research articles,reviews,meeting abstracts,proceedings papers,book chapters,editorial material,and news items;and(c)publication between 2002 and 2011.Exclusion criteria:(a)articles that required manual searching or telephone access;(b)documents that were not published in the public domain;and(c)a number of corrected papers from the total number of articles.MAIN OUTCOME MEASURES:(1)Number of publications on the three therapies;(2)annual publication output,distribution by journals,distribution by institution,and top-cited articles on botulinum toxin;(3)annual publication output,distribution by journal,distribution by institution,and top-cited articles on constraint-induced movement therapy;(4)annual publication,distribution by journal,distribution by institution,and top-cited articles on acupuncture.RESULTS:This analysis,based on Web of Science articles,identified several research trends in studies published over the past 10 years of three therapies for children with cerebral palsy.More articles on botulinum toxin for treating children with cerebral palsy were published than the articles regarding constraint-induced movement therapy or acupuncture.The numbers of publications increased over the 10-year study period.Most papers appeared in journals with a focus on neurology,such as Developmental Medicine and Child Neurology and Journal of Child Neurology.Research institutes publishing on botulinum toxin treatments for this population are mostly in the Netherlands,the United States of America,and Australia

  5. Science for Diplomacy, Diplomacy for Science

    Science.gov (United States)

    Colglazier, E. Wiliam

    2015-04-01

    I was a strong proponent of ``science diplomacy'' when I became Science and Technology Adviser to the Secretary of State in 2011. I thought I knew a lot about the subject after being engaged for four decades on international S&T policy issues and having had distinguished scientists as mentors who spent much of their time using science as a tool for building better relations between countries and working to make the world more peaceful, prosperous, and secure. I learned a lot from my three years inside the State Department, including great appreciation and respect for the real diplomats who work to defuse conflicts and avoid wars. But I also learned a lot about science diplomacy, both using science to advance diplomacy and diplomacy to advance science. My talk will focus on the five big things that I learned, and from that the one thing where I am focusing my energies to try to make a difference now that I am a private citizen again.

  6. Probe into geo-information science and information science in nuclear and geography science in China

    International Nuclear Information System (INIS)

    Tang Bin

    2001-01-01

    In the past ten years a new science-Geo-Information Science, a branch of Geoscience, developed very fast, which has been valued and paid much attention to. Based on information science, the author analyzes the flow of material, energy, people and information and their relations, presents the place of Geo-Information Science in Geo-science and its content from Geo-Informatics, Geo-Information technology and the application of itself. Finally, the author discusses the main content and problem existed in Geo-Information Science involved in Nuclear and Geography Science

  7. Community-Driven Support in the Hydrologic Sciences through Data, Education and Outreach

    Science.gov (United States)

    Clark, E.

    2015-12-01

    The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is a non-profit funded by the National Science Foundation to support water science research and education. As outlined in the CUAHSI Education and Outreach Strategy, our objectives are: 1) helping the member institutions communicate water science; 2) cross-disciplinary water education; 3) dissemination of research; 4) place-based water education using data services; and 5) broadening participation. Through the CUAHSI Water Data Center, online tools and resources are available to discover, download, and analyze multiple time-series water datasets across various parameters. CUAHSI supports novel graduate student research through the Pathfinder Fellowship program which has enhanced the interdisciplinary breadth of early-career research. Public outreach through the Let's Talk About Water film symposium and cyberseminar programs have proven effective in distributing research, leading to more recent development of virtual training workshops. By refining and building upon CUAHSI's existing programs, new training opportunities, collaborative projects, and community-building activities for the hydrologic sciences have come to fruition, such as the recent National Flood Interoperability Experiment with the NOAA's National Water Center.

  8. Applications of nuclear technique in environmental and medical science

    International Nuclear Information System (INIS)

    Shi Xianfeng; Shen Hao; Liu Bo; Sun Minde; Yao Huiying; Zhou Shijun; Mi Yong

    2001-01-01

    The serious environmental pollution problem and application of the nuclear technique in environmental and medical sciences were discussed. The analysed results of the elemental distribution of particles in automobile exhaust, the aerosol particle of different size and the effect of Rare Earth on cells were reported. The authors can obtain some information related to element concentration. It offers a convenient method in inspecting the environmental pollution

  9. Distribution uniformity of laser-accelerated proton beams

    Science.gov (United States)

    Zhu, Jun-Gao; Zhu, Kun; Tao, Li; Xu, Xiao-Han; Lin, Chen; Ma, Wen-Jun; Lu, Hai-Yang; Zhao, Yan-Ying; Lu, Yuan-Rong; Chen, Jia-Er; Yan, Xue-Qing

    2017-09-01

    Compared with conventional accelerators, laser plasma accelerators can generate high energy ions at a greatly reduced scale, due to their TV/m acceleration gradient. A compact laser plasma accelerator (CLAPA) has been built at the Institute of Heavy Ion Physics at Peking University. It will be used for applied research like biological irradiation, astrophysics simulations, etc. A beamline system with multiple quadrupoles and an analyzing magnet for laser-accelerated ions is proposed here. Since laser-accelerated ion beams have broad energy spectra and large angular divergence, the parameters (beam waist position in the Y direction, beam line layout, drift distance, magnet angles etc.) of the beamline system are carefully designed and optimised to obtain a radially symmetric proton distribution at the irradiation platform. Requirements of energy selection and differences in focusing or defocusing in application systems greatly influence the evolution of proton distributions. With optimal parameters, radially symmetric proton distributions can be achieved and protons with different energy spread within ±5% have similar transverse areas at the experiment target. Supported by National Natural Science Foundation of China (11575011, 61631001) and National Grand Instrument Project (2012YQ030142)

  10. Preliminary investigations on TINI based distributed instrumentation systems

    International Nuclear Information System (INIS)

    Bezboruah, T.; Kalita, M.

    2006-04-01

    A prototype web enabled distributed instrumentation system is being proposed in the Department of Electronics Science, Gauhati University, Assam, India. The distributed instrumentation system contains sensors, legacy hardware, TCP/IP protocol converter, TCP/IP network Ethernet, Database Server, Web/Application Server and Client PCs. As part of the proposed work, Tiny Internet Interface (TINI, TBM390: Dallas Semiconductor) has been deployed as TCP/IP stack, and java programming language as software tools. A feature supported by Java, that is particularly relevant to the distributed system is its applet. An applet is a java class that can be downloaded from the web server and can be run in a context application such as web browser or an applet viewer. TINI has been installed as TCP/IP stack, as it is the best suited embedded system with java programming language and it has been uniquely designed for communicating over One Wire Devices (OWD) over network. Here we will discuss the hardware and software aspects of TINI with OWD for the present system. (author)

  11. Modified Distribution-Free Goodness-of-Fit Test Statistic.

    Science.gov (United States)

    Chun, So Yeon; Browne, Michael W; Shapiro, Alexander

    2018-03-01

    Covariance structure analysis and its structural equation modeling extensions have become one of the most widely used methodologies in social sciences such as psychology, education, and economics. An important issue in such analysis is to assess the goodness of fit of a model under analysis. One of the most popular test statistics used in covariance structure analysis is the asymptotically distribution-free (ADF) test statistic introduced by Browne (Br J Math Stat Psychol 37:62-83, 1984). The ADF statistic can be used to test models without any specific distribution assumption (e.g., multivariate normal distribution) of the observed data. Despite its advantage, it has been shown in various empirical studies that unless sample sizes are extremely large, this ADF statistic could perform very poorly in practice. In this paper, we provide a theoretical explanation for this phenomenon and further propose a modified test statistic that improves the performance in samples of realistic size. The proposed statistic deals with the possible ill-conditioning of the involved large-scale covariance matrices.

  12. Archives: Afrique Science: Revue Internationale des Sciences et ...

    African Journals Online (AJOL)

    Items 1 - 31 of 31 ... Archives: Afrique Science: Revue Internationale des Sciences et Technologie. Journal Home > Archives: Afrique Science: Revue Internationale des Sciences et Technologie. Log in or Register to get access to full text downloads.

  13. Architectural Strategies for Enabling Data-Driven Science at Scale

    Science.gov (United States)

    Crichton, D. J.; Law, E. S.; Doyle, R. J.; Little, M. M.

    2017-12-01

    The analysis of large data collections from NASA or other agencies is often executed through traditional computational and data analysis approaches, which require users to bring data to their desktops and perform local data analysis. Alternatively, data are hauled to large computational environments that provide centralized data analysis via traditional High Performance Computing (HPC). Scientific data archives, however, are not only growing massive, but are also becoming highly distributed. Neither traditional approach provides a good solution for optimizing analysis into the future. Assumptions across the NASA mission and science data lifecycle, which historically assume that all data can be collected, transmitted, processed, and archived, will not scale as more capable instruments stress legacy-based systems. New paradigms are needed to increase the productivity and effectiveness of scientific data analysis. This paradigm must recognize that architectural and analytical choices are interrelated, and must be carefully coordinated in any system that aims to allow efficient, interactive scientific exploration and discovery to exploit massive data collections, from point of collection (e.g., onboard) to analysis and decision support. The most effective approach to analyzing a distributed set of massive data may involve some exploration and iteration, putting a premium on the flexibility afforded by the architectural framework. The framework should enable scientist users to assemble workflows efficiently, manage the uncertainties related to data analysis and inference, and optimize deep-dive analytics to enhance scalability. In many cases, this "data ecosystem" needs to be able to integrate multiple observing assets, ground environments, archives, and analytics, evolving from stewardship of measurements of data to using computational methodologies to better derive insight from the data that may be fused with other sets of data. This presentation will discuss

  14. A CONCEPTUAL FRAMEWORK OF DISTRIBUTIVE JUSTICE IN ISLAMIC ECONOMICS

    Directory of Open Access Journals (Sweden)

    Shafinah Begum Abdul Rahim

    2015-06-01

    Full Text Available itical, behavioural and social sciences both in mainstream or Islam. Given its increasing relevance to the global village we share and the intensity of socio-economic problems invariably related to the distribution of resources amongst us, this work is aimed at adding value through a deeper understanding and appreciation of justice placed by the Syariah in all domains of of our economic lives. The existing works within this area appear to lean mostly towards redistributive mechanisms available in the revealed knowledge. Hence a comprehensive analysis of the notion of distributive justice from the theoretical level translated into practical terms is expected to contribute significantly to policymakers committed towards finding permanent solutions to economic problems especially in the Muslim world. It is a modest yet serious attempt to bridge the gap between distributive justice in letter and spirit as clearly ordained in the Holy Quran. The entire analysis is based on critical reviews and appraisals of the all relevant literary on distributive justice in Islamic Economics. The final product is a conceptual framework that can be used as a blueprint in establishing the notion of justice in the distribution of economic resources, i.e. income and wealth as aspired by the Syariah.

  15. Pure Science and Applied Science

    Directory of Open Access Journals (Sweden)

    Robert J. Aumann

    2011-01-01

    Full Text Available (Excerpt The name of my talk is Pure Science and Applied Science, and the idea I would like to sell to you today is that there is no such thing as “pure” or “applied” science. In other words, there is such a thing as science, but there is no difference between pure and applied science. Science is one entity and cannot be separated into different categories. In order to back that up, I would like to tell you a little story. As an undergraduate, I studied mathematics at City College in New York. At that time, what was called Pure Mathematics was in vogue, and the more prominent mathematicians were a little contemptuous of any kind of application. A very famous, prominent mathematician in the first half of the previous century by the name of G. H. Hardy, who was in a branch of mathematics called number theory, said that the only thing he regretted was that he unwittingly did some important work in mathematical genetics that eventually turned out to have some application. … Such was the atmosphere in the late ’40s of the previous century and, being a young man and impressionable, I was swept up in this atmosphere.

  16. The epistemic culture in an online citizen science project: Programs, antiprograms and epistemic subjects.

    Science.gov (United States)

    Kasperowski, Dick; Hillman, Thomas

    2018-05-01

    In the past decade, some areas of science have begun turning to masses of online volunteers through open calls for generating and classifying very large sets of data. The purpose of this study is to investigate the epistemic culture of a large-scale online citizen science project, the Galaxy Zoo, that turns to volunteers for the classification of images of galaxies. For this task, we chose to apply the concepts of programs and antiprograms to examine the 'essential tensions' that arise in relation to the mobilizing values of a citizen science project and the epistemic subjects and cultures that are enacted by its volunteers. Our premise is that these tensions reveal central features of the epistemic subjects and distributed cognition of epistemic cultures in these large-scale citizen science projects.

  17. The distribution of physiotherapists in ontario: understanding the market drivers.

    Science.gov (United States)

    Holyoke, Paul; Verrier, Molly C; Landry, Michel D; Deber, Raisa B

    2012-01-01

    To understand the factors that affect the distribution of physiotherapists in Ontario by examining three potential influences in the multi-payer physiotherapy (PT) market: population need, critical mass (related to academic health science centres [AHSCs]), and market forces. Physiotherapist density and distribution were calculated from 2003 and 2005 College of Physiotherapists of Ontario registration data. Physiotherapists' workplaces were classified as not-for-profit (NFP) hospitals, other NFP, or for-profit (FP), and their locations were classified by census division (CD) types (cities and counties). Physiotherapist density varied significantly and distribution was neither uniformly responsive to population need, nor driven primarily by market forces. The largest factor was an AHSC in a CD; physiotherapists locate disproportionately in NFP hospitals in AHSCs rather than in the growing FP sector. While some patterns can be discerned in the distribution and densities of physiotherapists across Ontario, further work needs to be done to identify why population need and market forces appear to be less influential, and why CDs with AHSCs are so attractive to physiotherapists. With this additional information, it may be possible to identify ways to influence uneven distribution in the future.

  18. Emotional intelligence in medical laboratory science

    Science.gov (United States)

    Price, Travis

    The purpose of this study was to explore the role of emotional intelligence (EI) in medical laboratory science, as perceived by laboratory administrators. To collect and evaluate these perceptions, a survey was developed and distributed to over 1,400 medical laboratory administrators throughout the U.S. during January and February of 2013. In addition to demographic-based questions, the survey contained a list of 16 items, three skills traditionally considered important for successful work in the medical laboratory as well as 13 EI-related items. Laboratory administrators were asked to rate each item for its importance for job performance, their satisfaction with the item's demonstration among currently working medical laboratory scientists (MLS) and the amount of responsibility college-based medical laboratory science programs should assume for the development of each skill or attribute. Participants were also asked about EI training in their laboratories and were given the opportunity to express any thoughts or opinions about EI as it related to medical laboratory science. This study revealed that each EI item, as well as each of the three other items, was considered to be very or extremely important for successful job performance. Administrators conveyed that they were satisfied overall, but indicated room for improvement in all areas, especially those related to EI. Those surveyed emphasized that medical laboratory science programs should continue to carry the bulk of the responsibility for the development of technical skills and theoretical knowledge and expressed support for increased attention to EI concepts at the individual, laboratory, and program levels.

  19. The College Science Learning Cycle: An Instructional Model for Reformed Teaching.

    Science.gov (United States)

    Withers, Michelle

    2016-01-01

    Finding the time for developing or locating new class materials is one of the biggest barriers for instructors reforming their teaching approaches. Even instructors who have taken part in training workshops may feel overwhelmed by the task of transforming passive lecture content to engaging learning activities. Learning cycles have been instrumental in helping K-12 science teachers design effective instruction for decades. This paper introduces the College Science Learning Cycle adapted from the popular Biological Sciences Curriculum Study 5E to help science, technology, engineering, and mathematics faculty develop course materials to support active, student-centered teaching approaches in their classrooms. The learning cycle is embedded in backward design, a learning outcomes-oriented instructional design approach, and is accompanied by resources and examples to help faculty transform their teaching in a time-efficient manner. © 2016 M. Withers. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  20. Confidence intervals for the lognormal probability distribution

    International Nuclear Information System (INIS)

    Smith, D.L.; Naberejnev, D.G.

    2004-01-01

    The present communication addresses the topic of symmetric confidence intervals for the lognormal probability distribution. This distribution is frequently utilized to characterize inherently positive, continuous random variables that are selected to represent many physical quantities in applied nuclear science and technology. The basic formalism is outlined herein and a conjured numerical example is provided for illustration. It is demonstrated that when the uncertainty reflected in a lognormal probability distribution is large, the use of a confidence interval provides much more useful information about the variable used to represent a particular physical quantity than can be had by adhering to the notion that the mean value and standard deviation of the distribution ought to be interpreted as best value and corresponding error, respectively. Furthermore, it is shown that if the uncertainty is very large a disturbing anomaly can arise when one insists on interpreting the mean value and standard deviation as the best value and corresponding error, respectively. Reliance on using the mode and median as alternative parameters to represent the best available knowledge of a variable with large uncertainties is also shown to entail limitations. Finally, a realistic physical example involving the decay of radioactivity over a time period that spans many half-lives is presented and analyzed to further illustrate the concepts discussed in this communication

  1. Podcasting as an Effective Medium for Direct Science Communication and Outreach to the General Public

    Science.gov (United States)

    Haupt, R. J.; Padilla, A. J.; Wheatley, P.; Barnhart, C. J.

    2015-12-01

    A podcast is an audio program distributed online typically freely available through an RSS feed (essentially an on-demand internet radio show). This medium has grown steadily in listenership and popularity since its inception in the early 2000s, especially thanks to popular distribution platforms such as iTunes, and web-enabled listening devices (i.e. smart phones). In terms of science reporting, many high impact journals now produce podcasts to supplement their publications (e.g. Nature, Science, etc.). However, smaller and/or more specialized journals often can't afford to promote their content via podcasts, thus limiting their authors to rely on traditional media and press releases supplied by their colleges and universities. This is where independent or unaffiliated podcasts can fill an open niche: providing a platform for scientists to discuss their research in their own words aimed at a general audience. Traditional press releases often follow a similar pattern, and many science news outlets essentially report the press releases verbatim with little additional content or reporting from primary sources. Podcasts suffer from no such restrictions, and they can be as long and in-depth as the subject matter necessitates. Furthermore, many news outlets no longer employ dedicated science reporters. Science is covered, if at all, by reporters without specialized scientific knowledge or training. This deficit leads to a much higher potential for science news stories to be incorrectly reported, or misinterpreted by the general public. A podcast allows a lab group or department the opportunity to edit the content for brevity and clarity, affording scientists a better chance of getting their research presented to the public in an accurate and representative way. Finally, podcasts allow the public to hear the voice of the scientist, humanizing the hard work they do, and potentially positively influencing the way the public reacts to science as a discipline.

  2. Science Process Skills in Science Curricula Applied in Turkey

    Science.gov (United States)

    Yumusak, Güngör Keskinkiliç

    2016-01-01

    One of the most important objectives of the science curricula is to bring in science process skills. The science process skills are skills that lie under scientific thinking and decision-making. Thus it is important for a science curricula to be rationalized in such a way that it brings in science process skills. New science curricula were…

  3. International production on science oriented towards data: analysis of the terms data science and e-science in scopus and the web of science

    OpenAIRE

    Leilah Santiago Bufrem; Fábio Mascarenhas e Silva; Natanael Vitor Sobral; Anna Elizabeth Galvão Coutinho Correia

    2016-01-01

    Introduction: current configuration in the dynamics of production and scientific communication reveals the role of Science Oriented Towards Data, a comprehensive conception represented, mainly, by terms such as "e-Science" and "Data Science". Objective: To present the global scientific production on Science Oriented Towards Data by using the terms "e-Science" and "Data Science" in Scopus and the Web of Science during 2006-2016. Methodology: The study is divided into five phases: a) sear...

  4. Taking a 'Big Data' approach to data quality in a citizen science project.

    Science.gov (United States)

    Kelling, Steve; Fink, Daniel; La Sorte, Frank A; Johnston, Alison; Bruns, Nicholas E; Hochachka, Wesley M

    2015-11-01

    Data from well-designed experiments provide the strongest evidence of causation in biodiversity studies. However, for many species the collection of these data is not scalable to the spatial and temporal extents required to understand patterns at the population level. Only data collected from citizen science projects can gather sufficient quantities of data, but data collected from volunteers are inherently noisy and heterogeneous. Here we describe a 'Big Data' approach to improve the data quality in eBird, a global citizen science project that gathers bird observations. First, eBird's data submission design ensures that all data meet high standards of completeness and accuracy. Second, we take a 'sensor calibration' approach to measure individual variation in eBird participant's ability to detect and identify birds. Third, we use species distribution models to fill in data gaps. Finally, we provide examples of novel analyses exploring population-level patterns in bird distributions.

  5. Physical Sciences 2007 Science & Technology Highlights

    Energy Technology Data Exchange (ETDEWEB)

    Hazi, A U

    2008-04-07

    The Physical Sciences Directorate applies frontier physics and technology to grand challenges in national security. Our highly integrated and multidisciplinary research program involves collaborations throughout Lawrence Livermore National Laboratory, the National Nuclear Security Administration, the Department of Energy, and with academic and industrial partners. The Directorate has a budget of approximately $150 million, and a staff of approximately 350 employees. Our scientists provide expertise in condensed matter and high-pressure physics, plasma physics, high-energy-density science, fusion energy science and technology, nuclear and particle physics, accelerator physics, radiation detection, optical science, biotechnology, and astrophysics. This document highlights the outstanding research and development activities in the Physical Sciences Directorate that made news in 2007. It also summarizes the awards and recognition received by members of the Directorate in 2007.

  6. Science education policy for emergency, conflict, and post-conflict: An analysis of trends and implications for the science education program in Uganda

    Science.gov (United States)

    Udongo, Betty Pacutho

    This study analyzes the impact of armed conflicts on the development of education policy and particularly science education program in Uganda. Since independence from the British colonial rule, Uganda has experienced a series of armed conflicts, with the most devastating being the 21 years of conflict in Northern Uganda. The research study was guided by the following questions: (1) What is the level of government funding towards improving science education program in Uganda? (2) Have recent initiatives, such as free Primary and Secondary education, compulsory science, and 75% sponsorship for science-based courses, had a measurable impact on the proportion of students from the conflict-affected regions who enter tertiary institutions to pursue science and technology programs? (3) To what extent do the Ugandan Education Policy and, in particular, the Science Education Policy effectively address the educational needs of students affected by armed conflicts? The study employed a mixed method design where both quantitative and qualitative data were collected and analyzed. Quantitative data were obtained from a comprehensive search of policy documents and content analysis of literature on education policy, science education programs, and impact of conflicts on educational delivery. Qualitative data were obtained from surveys and interviews distributed to policy makers, central government and the local government officials, teachers, and students from the war-ravaged Northern Uganda. Analysis of policy documents and respondents' views revealed that Uganda does not have a science education policy, and the present education policy does not fully address the educational needs of students studying in conflict-affected regions. It was further observed that fewer students from the conflict-affected regions qualify for government scholarship to study science courses in higher institutions of learning. The study recommended the following policy interventions: (a) affirmative

  7. The effects of model and data complexity on predictions from species distributions models

    DEFF Research Database (Denmark)

    García-Callejas, David; Bastos, Miguel

    2016-01-01

    How complex does a model need to be to provide useful predictions is a matter of continuous debate across environmental sciences. In the species distributions modelling literature, studies have demonstrated that more complex models tend to provide better fits. However, studies have also shown...... that predictive performance does not always increase with complexity. Testing of species distributions models is challenging because independent data for testing are often lacking, but a more general problem is that model complexity has never been formally described in such studies. Here, we systematically...

  8. How In-Service Science Teachers Integrate History and Nature of Science in Elementary Science Courses

    Science.gov (United States)

    Hacieminoglu, Esme

    2014-01-01

    The purpose of this study is to investigate how the in-service science teachers' (IST) perceptions and practices about curriculum and integration of the history of science (HOS) and the nature of science (NOS) affect their science courses. For this aim, how ISTs integrated the NOS and HOS in their elementary science courses for understanding of…

  9. Scientific integrity and research ethics an approach from the ethos of science

    CERN Document Server

    Koepsell, David

    2017-01-01

    This book is an easy to read, yet comprehensive introduction to practical issues in research ethics and scientific integrity. It addresses questions about what constitutes appropriate academic and scientific behaviors from the point of view of what Robert Merton called the “ethos of science.” In other words, without getting into tricky questions about the nature of the good or right (as philosophers often do), Koepsell’s concise book provides an approach to behaving according to the norms of science and academia without delving into the morass of philosophical ethics. The central thesis is that: since we know certain behaviors are necessary for science and its institutions to work properly (rather than pathologically), we can extend those principles to guide good behaviors as scientists and academics. The Spanish version of this book was commissioned by the Mexican National Science Foundation (CONACyT) and is being distributed to and used by Mexican scientists in a unique, national plan to improve scie...

  10. Chronic wasting disease—Status, science, and management support by the U.S. Geological Survey

    Science.gov (United States)

    Carlson, Christina M.; Hopkins, M. Camille; Nguyen, Natalie T.; Richards, Bryan J.; Walsh, Daniel P.; Walter, W. David

    2018-03-01

    The U.S. Geological Survey (USGS) investigates chronic wasting disease (CWD) at multiple science centers and cooperative research units across the Nation and supports the management of CWD through science-based strategies. CWD research conducted by USGS scientists has three strategies: (1) to understand the biology, ecology, and causes and distribution of CWD; (2) to assess and predict the spread and persistence of CWD in wildlife and the environment; and (3) to develop tools for early detection, diagnosis, surveillance, and control of CWD.

  11. Urban school leadership for elementary science instruction: Identifying and activating resources in an undervalued school subject

    Science.gov (United States)

    Spillane, James P.; Diamond, John B.; Walker, Lisa J.; Halverson, Rich; Jita, Loyiso

    2001-10-01

    This article explores school leadership for elementary school science teaching in an urban setting. We examine how school leaders bring resources together to enhance science instruction when there appear to be relatively few resources available for it. From our study of 13 Chicago elementary (K-8) schools' efforts to lead instructional change in mathematics, language arts, and science education, we show how resources for leading instruction are unequally distributed across subject areas. We also explore how over time leaders in one school successfully identified and activated resources for leading change in science education. The result has been a steady, although not always certain, development of science as an instructional area in the school. We argue that leading change in science education involves the identification and activation of material resources, the development of teachers' and school leaders' human capital, and the development and use of social capital.

  12. Data-driven predictions in the science of science.

    Science.gov (United States)

    Clauset, Aaron; Larremore, Daniel B; Sinatra, Roberta

    2017-02-03

    The desire to predict discoveries-to have some idea, in advance, of what will be discovered, by whom, when, and where-pervades nearly all aspects of modern science, from individual scientists to publishers, from funding agencies to hiring committees. In this Essay, we survey the emerging and interdisciplinary field of the "science of science" and what it teaches us about the predictability of scientific discovery. We then discuss future opportunities for improving predictions derived from the science of science and its potential impact, positive and negative, on the scientific community. Copyright © 2017, American Association for the Advancement of Science.

  13. Can citizen science enhance public understanding of science?

    Science.gov (United States)

    Bonney, Rick; Phillips, Tina B; Ballard, Heidi L; Enck, Jody W

    2016-01-01

    Over the past 20 years, thousands of citizen science projects engaging millions of participants in collecting and/or processing data have sprung up around the world. Here we review documented outcomes from four categories of citizen science projects which are defined by the nature of the activities in which their participants engage - Data Collection, Data Processing, Curriculum-based, and Community Science. We find strong evidence that scientific outcomes of citizen science are well documented, particularly for Data Collection and Data Processing projects. We find limited but growing evidence that citizen science projects achieve participant gains in knowledge about science knowledge and process, increase public awareness of the diversity of scientific research, and provide deeper meaning to participants' hobbies. We also find some evidence that citizen science can contribute positively to social well-being by influencing the questions that are being addressed and by giving people a voice in local environmental decision making. While not all citizen science projects are intended to achieve a greater degree of public understanding of science, social change, or improved science -society relationships, those projects that do require effort and resources in four main categories: (1) project design, (2) outcomes measurement, (3) engagement of new audiences, and (4) new directions for research. © The Author(s) 2015.

  14. Islam and Science

    Science.gov (United States)

    Salam, Abdus

    The following sections are included: * The Holy Quran and Science * Modem Science, A Greco- Islamic Legacy * The Decline of Sciences in Islam * The Limitations of Science * Faith and Science * The Present Picture of Sciences in the Islamic Countries * Renaissance of Sciences in Islam * Steps Needed for Building up Sciences in the Islamic Countries * Science Education * Science Foundations in Islam * Technology in Our Countries * Concluding Remarks * REFERENCES

  15. Unlocking the potential of smart grid technologies with behavioral science

    Directory of Open Access Journals (Sweden)

    Nicole eSintov

    2015-04-01

    Full Text Available Smart grid systems aim to provide a more stable and adaptable electricity infrastructure, and to maximize energy efficiency. Grid-linked technologies vary widely in form and function, but generally share common potentials: to reduce energy consumption via efficiency and/or curtailment, to shift use to off-peak times of day, and to enable distributed storage and generation options. Although end users are key players in these systems, they tend to be overlooked. Behavioral science is therefore key to engaging end-users and maximizing the impact of smart grid technologies. In this paper, we highlight several ways in which behavioral science can be applied to better understand and engage customers in smart grid systems.

  16. The Global Sensor Web: A Platform for Citizen Science (Invited)

    Science.gov (United States)

    Simons, A. L.

    2013-12-01

    The Global Sensor Web (GSW) is an effort to provide an infrastructure for the collection, sharing and visualizing sensor data from around the world. Over the past three years the GSW has been developed and tested as a standardized platform for citizen science. The most developed of the citizen science projects built onto the GSW has been Distributed Electronic Cosmic-ray Observatory (DECO), which is an Android application designed to harness a global network of mobile devices, to detect the origin and behavior of the cosmic radiation. Other projects which can be readily built on top of GSW as a platform are also discussed. A cosmic-ray track candidate captured on a cell phone camera.

  17. actuar: An R Package for Actuarial Science

    Directory of Open Access Journals (Sweden)

    Christophe Dutang

    2008-02-01

    Full Text Available actuar is a package providing additional Actuarial Science functionality to the R statistical system. The project was launched in 2005 and the package is available on the Comprehensive R Archive Network since February 2006. The current version of the package contains functions for use in the fields of loss distributions modeling, risk theory (including ruin theory, simulation of compound hierarchical models and credibility theory. This paper presents in detail but with few technical terms the most recent version of the package.

  18. Citizen Science: Opportunities for Girls' Development of Science Identity

    Science.gov (United States)

    Brien, Sinead Carroll

    Many students in the United States, particularly girls, have lost interest in science by the time they reach high school and do not pursue higher degrees or careers in science. Several science education researchers have found that the ways in which youth see themselves and position themselves in relation to science can influence whether they pursue science studies and careers. I suggest that participation in a citizen science program, which I define as a program in which girls interact with professional scientists and collect data that contributes to scientific research, could contribute to changing girls' perceptions of science and scientists, and promote their science identity work. I refer to science identity as self-recognition and recognition by others that one thinks scientifically and does scientific work. I examined a case study to document and analyze the relationship between girls' participation in a summer citizen science project and their development of science identity. I observed six girls between the ages of 16 and 18 during the Milkweed and Monarch Project, taking field notes on focal girls' interactions with other youth, adults, and the scientist, conducted highly-structured interviews both pre-and post- girls' program participation, and interviewed the project scientist and educator. I qualitatively analyzed field notes and interview responses for themes in girls' discussion of what it meant to think scientifically, roles they took on, and how they recognized themselves as thinking scientifically. I found that girls who saw themselves as thinking scientifically during the program seemed to demonstrate shifts in their science identity. The aspects of the citizen science program that seemed to most influence shifts in these girls' science identities were 1) the framing of the project work as "real science, 2) that it involved ecological field work, and 3) that it created a culture that valued data and scientific work. However, some of the girls only

  19. Trends in Soil Science education: moving from teacher's questioning to student's questioning

    Science.gov (United States)

    Roca, Núria

    2017-04-01

    Soil science has suffered from communication problems within its own discipline, with other disciplines (except perhaps agronomy) and with the general public. Prof. Dennis Greenland wrote the following in the early 1990s: "…soil scientists have also been frustrated as their advice has gone apparently unheeded. This may be because the advice is couched in terms more easily understood by other soil scientists than by politicians and economists who control the disposition of land. If soil science is to serve society fully it is essential that its arguments are presented in terms readily understood by all and with both scientific and economic rigor so that they are not easily refuted". Soil is a 3-dimensional body with properties that reflect the impact of climate, vegetation, fauna, man and topography on the soil's parent material over a variable time span. Therefore, soil sciences must integrate different knowledge of many disciplines. How should one go about the teaching and learning of a subject like soil science? This is an ever present question resident in the mind of a soil science teacher who knows that students will find soil science an inherently difficult subject to understand. Therefore, Soil Science cannot be taught in the same way. This paper proposes a mural construction that allows to understand soil formation, soil evolution and soil distribution. This experience has been realized with secondary teachers to offer tools for active learning methodologies. Therefore, this teaching project starts with a box and a global soil map distribution in a wall mural. The box contains many cards with soil properties, soil factors, soil process, soils orders and different natural soil photos as the pieces of a big puzzle. All these pieces will be arranged in the wall mural. These environments imply a new perspective of teaching: moving from a teacher-centered teaching to a student-centered teaching. In contrast to learning-before-doing— the model of most

  20. New Trends in E-Science: Machine Learning and Knowledge Discovery in Databases

    Science.gov (United States)

    Brescia, Massimo

    2012-11-01

    Data mining, or Knowledge Discovery in Databases (KDD), while being the main methodology to extract the scientific information contained in Massive Data Sets (MDS), needs to tackle crucial problems since it has to orchestrate complex challenges posed by transparent access to different computing environments, scalability of algorithms, reusability of resources. To achieve a leap forward for the progress of e-science in the data avalanche era, the community needs to implement an infrastructure capable of performing data access, processing and mining in a distributed but integrated context. The increasing complexity of modern technologies carried out a huge production of data, whose related warehouse management and the need to optimize analysis and mining procedures lead to a change in concept on modern science. Classical data exploration, based on local user own data storage and limited computing infrastructures, is no more efficient in the case of MDS, worldwide spread over inhomogeneous data centres and requiring teraflop processing power. In this context modern experimental and observational science requires a good understanding of computer science, network infrastructures, Data Mining, etc. i.e. of all those techniques which fall into the domain of the so called e-science (recently assessed also by the Fourth Paradigm of Science). Such understanding is almost completely absent in the older generations of scientists and this reflects in the inadequacy of most academic and research programs. A paradigm shift is needed: statistical pattern recognition, object oriented programming, distributed computing, parallel programming need to become an essential part of scientific background. A possible practical solution is to provide the research community with easy-to understand, easy-to-use tools, based on the Web 2.0 technologies and Machine Learning methodology. Tools where almost all the complexity is hidden to the final user, but which are still flexible and able to