WorldWideScience

Sample records for network assessment utilizing

  1. Condition Assessment of Foundation Piles and Utility Poles Based on Guided Wave Propagation Using a Network of Tactile Transducers and Support Vector Machines

    Directory of Open Access Journals (Sweden)

    Ulrike Dackermann

    2017-12-01

    Full Text Available This paper presents a novel non-destructive testing and health monitoring system using a network of tactile transducers and accelerometers for the condition assessment and damage classification of foundation piles and utility poles. While in traditional pile integrity testing an impact hammer with broadband frequency excitation is typically used, the proposed testing system utilizes an innovative excitation system based on a network of tactile transducers to induce controlled narrow-band frequency stress waves. Thereby, the simultaneous excitation of multiple stress wave types and modes is avoided (or at least reduced, and targeted wave forms can be generated. The new testing system enables the testing and monitoring of foundation piles and utility poles where the top is inaccessible, making the new testing system suitable, for example, for the condition assessment of pile structures with obstructed heads and of poles with live wires. For system validation, the new system was experimentally tested on nine timber and concrete poles that were inflicted with several types of damage. The tactile transducers were excited with continuous sine wave signals of 1 kHz frequency. Support vector machines were employed together with advanced signal processing algorithms to distinguish recorded stress wave signals from pole structures with different types of damage. The results show that using fast Fourier transform signals, combined with principal component analysis as the input feature vector for support vector machine (SVM classifiers with different kernel functions, can achieve damage classification with accuracies of 92.5% ± 7.5%.

  2. Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks

    Science.gov (United States)

    Izadyyazdanabadi, Mohammadhassan; Belykh, Evgenii; Martirosyan, Nikolay; Eschbacher, Jennifer; Nakaji, Peter; Yang, Yezhou; Preul, Mark C.

    2017-03-01

    Confocal laser endomicroscopy (CLE), although capable of obtaining images at cellular resolution during surgery of brain tumors in real time, creates as many non-diagnostic as diagnostic images. Non-useful images are often distorted due to relative motion between probe and brain or blood artifacts. Many images, however, simply lack diagnostic features immediately informative to the physician. Examining all the hundreds or thousands of images from a single case to discriminate diagnostic images from nondiagnostic ones can be tedious. Providing a real time diagnostic value assessment of images (fast enough to be used during the surgical acquisition process and accurate enough for the pathologist to rely on) to automatically detect diagnostic frames would streamline the analysis of images and filter useful images for the pathologist/surgeon. We sought to automatically classify images as diagnostic or non-diagnostic. AlexNet, a deep-learning architecture, was used in a 4-fold cross validation manner. Our dataset includes 16,795 images (8572 nondiagnostic and 8223 diagnostic) from 74 CLE-aided brain tumor surgery patients. The ground truth for all the images is provided by the pathologist. Average model accuracy on test data was 91% overall (90.79 % accuracy, 90.94 % sensitivity and 90.87 % specificity). To evaluate the model reliability we also performed receiver operating characteristic (ROC) analysis yielding 0.958 average for area under ROC curve (AUC). These results demonstrate that a deeply trained AlexNet network can achieve a model that reliably and quickly recognizes diagnostic CLE images.

  3. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  4. Network bandwidth utilization forecast model on high bandwidth networks

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Wuchert (William) [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sim, Alex [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2015-03-30

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2%. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  5. Clinical Telemedicine Utilization in Ontario over the Ontario Telemedicine Network

    OpenAIRE

    O'Gorman, Laurel D.; Hogenbirk, John C; Warry, Wayne

    2016-01-01

    Abstract Introduction: Northern Ontario is a region in Canada with approximately 775,000 people in communities scattered across 803,000?km2. The Ontario Telemedicine Network (OTN) facilitates access to medical care in areas that are often underserved. We assessed how OTN utilization differed throughout the province. Materials and Methods: We used OTN medical service utilization data collected through the Ontario Health Insurance Plan and provided by the Ministry of Health and Long Term Care. ...

  6. Opportunistic spectrum utilization in vehicular communication networks

    CERN Document Server

    Cheng, Nan

    2016-01-01

    This brief examines current research on improving Vehicular Networks (VANETs), examining spectrum scarcity due to the dramatic growth of mobile data traffic and the limited bandwidth of dedicated vehicular communication bands and the use of opportunistic spectrum bands to mitigate congestion. It reviews existing literature on the use of opportunistic spectrum bands for VANETs, including licensed and unlicensed spectrum bands and a variety of related technologies, such as cognitive radio, WiFi and device-to-device communications. Focused on analyzing spectrum characteristics, designing efficient spectrum exploitation schemes, and evaluating the date delivery performance when utilizing different opportunistic spectrum bands, the results presented in this brief provide valuable insights on improving the design and deployment of future VANETs.

  7. Shipboard Calibration Network Extension Utilizing COTS Products

    Science.gov (United States)

    2014-09-01

    are generated by TCP when performing congestion control . TCP performs congestion control in the network, as defined in RFC 2581, to mitigate the...Available: https://www.wireshark.org/about.html. [22] Network Working Group. (1999, April). TCP congestion control . [Online]. Available: http...Identification TCP Transport Control Protocol VNC Virtual Network Computing WLAN Wireless Local Area Network xvi THIS PAGE INTENTIONALLY

  8. Clinical Telemedicine Utilization in Ontario over the Ontario Telemedicine Network.

    Science.gov (United States)

    O'Gorman, Laurel D; Hogenbirk, John C; Warry, Wayne

    2016-06-01

    Northern Ontario is a region in Canada with approximately 775,000 people in communities scattered across 803,000 km(2). The Ontario Telemedicine Network (OTN) facilitates access to medical care in areas that are often underserved. We assessed how OTN utilization differed throughout the province. We used OTN medical service utilization data collected through the Ontario Health Insurance Plan and provided by the Ministry of Health and Long Term Care. Using census subdivisions grouped by Northern and Southern Ontario as well as urban and rural areas, we calculated utilization rates per fiscal year and total from 2008/2009 to 2013/2014. We also used billing codes to calculate utilization by therapeutic area of care. There were 652,337 OTN patient visits in Ontario from 2008/2009 to 2013/2014. Median annual utilization rates per 1,000 people were higher in northern areas (rural, 52.0; urban, 32.1) than in southern areas (rural, 6.1; urban, 3.1). The majority of usage in Ontario was in mental health and addictions (61.8%). Utilization in other areas of care such as surgery, oncology, and internal medicine was highest in the rural north, whereas primary care use was highest in the urban south. Utilization was higher and therapeutic areas of care were more diverse in rural Northern Ontario than in other parts of the province. Utilization was also higher in urban Northern Ontario than in Southern Ontario. This suggests that telemedicine is being used to improve access to medical care services, especially in sparsely populated regions of the province.

  9. NNP-LANL Utilities - Condition Assessment and Project Approach

    Energy Technology Data Exchange (ETDEWEB)

    Stewart, Grant Lorenz [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-11-21

    This report is a presentation on LANL Utilities & Transportation Asset Management; Utility Assets Overview; Condition Assessment; Utilities Project Nominations & Ranking; and Utilities Project Execution.

  10. Systems assessment of water savings impact of controlled environment agriculture (CEA) utilizing wirelessly networked Sense•Decide•Act•Communicate (SDAC) systems.

    Energy Technology Data Exchange (ETDEWEB)

    Campbell, Jonathan T.; Baynes, Edward E., Jr.; Aguirre,Carlos (University of Texas at El Paso, El Paso, TX); Jordan, Jon (University of Arizona, Tucson, AZ); Giacomelli, Gene (University of Arizona, Tucson, AZ); Waggoner, Justin (New Mexico State University, Las Cruces, NM); Loest, Clint (New Mexico State University, Las Cruces, NM); Szumel, Leo; Nakaoka, Tyler; Pate, Ronald C.; Berry, Nina M.; Pohl, Phillip Isabio; Aguirre, Francisco Luis (Invernaderos y Maquinaria Aguirre, Cd., Aldama, Chihuahua, Mexico); Aguilar, Jose (University of Texas at El Paso, El Paso, TX); Gupta, Vipin P.; Ochoa, Juan (University of Texas at El Paso, El Paso, TX); Davis, Jesse Zehring; Ramos, Damian (University of Texas at El Paso, El Paso, TX)

    2005-02-01

    Reducing agricultural water use in arid regions while maintaining or improving economic productivity of the agriculture sector is a major challenge. Controlled environment agriculture (CEA, or, greenhouse agriculture) affords advantages in direct resource use (less land and water required) and productivity (i.e., much higher product yield and quality per unit of resources used) relative to conventional open-field practices. These advantages come at the price of higher operating complexity and costs per acre. The challenge is to implement and apply CEA such that the productivity and resource use advantages will sufficiently outweigh the higher operating costs to provide for overall benefit and viability. This project undertook an investigation of CEA for livestock forage production as a water-saving alternative to open-field forage production in arid regions. Forage production is a large consumer of fresh water in many arid regions of the world, including the southwestern U.S. and northern Mexico. With increasing competition among uses (agriculture, municipalities, industry, recreation, ecosystems, etc.) for limited fresh water supplies, agricultural practice alternatives that can potentially maintain or enhance productivity while reducing water use warrant consideration. The project established a pilot forage production greenhouse facility in southern New Mexico based on a relatively modest and passive (no active heating or cooling) system design pioneered in Chihuahua, Mexico. Experimental operations were initiated in August 2004 and carried over into early-FY05 to collect data and make initial assessments of operational and technical system performance, assess forage nutrition content and suitability for livestock, identify areas needing improvement, and make initial assessment of overall feasibility. The effort was supported through the joint leveraging of late-start FY04 LDRD funds and bundled CY2004 project funding from the New Mexico Small Business Technical

  11. The Commercial Utilization of Social Networks

    OpenAIRE

    Adlaf, Petr

    2011-01-01

    The presented bachelor's thesis deals with advertisement. It answers the question of what advertisement is, why firms use advertisement and what its benefits are. It concentrates especially on Internet advertisement presented through social networks. These social networks have come to occupy a significant position on the Internet during the last five years and offer new possibilities in terms of creating advertising campaigns (Hypertargeting). The thesis presents the division and comparison o...

  12. Social Networks and High Healthcare Utilization: Building Resilience Through Analysis

    Science.gov (United States)

    2016-09-01

    3. REPORT TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE SOCIAL NETWORKS AND HIGH HEALTHCARE UTILIZATION: BUILDING RESILIENCE...28 3. Evaluating Network Type ...........................................................29 4. Density and Path...studied by showing “ galaxies ” of highly connected individuals and their associated lines of flow, or “emotions,” expressed graphically by links and

  13. Managing a network vulnerability assessment

    CERN Document Server

    Peltier, Thomas R; Blackley, John A

    2003-01-01

    Managing a Network Vulnerability Assessment provides a formal framework for finding and eliminating network security threats, ensuring that no vulnerabilities are overlooked. This thorough overview focuses on the steps necessary to successfully manage an assessment, including the development of a scope statement, the understanding and proper use of assessment methodology, the creation of an expert assessment team, and the production of a valuable response report. The book also details what commercial, freeware, and shareware tools are available, how they work, and how to use them.

  14. Maintenance Management in Network Utilities Framework and Practical Implementation

    CERN Document Server

    Gómez Fernández, Juan F

    2012-01-01

    In order to satisfy the needs of their customers, network utilities require specially developed maintenance management capabilities. Maintenance Management information systems are essential to ensure control, gain knowledge and improve-decision making in companies dealing with network infrastructure, such as distribution of gas, water, electricity and telecommunications. Maintenance Management in Network Utilities studies specified characteristics of maintenance management in this sector to offer a practical approach to defining and implementing  the best management practices and suitable frameworks.   Divided into three major sections, Maintenance Management in Network Utilities defines a series of stages which can be followed to manage maintenance frameworks properly. Different case studies provide detailed descriptions which illustrate the experience in real company situations. An introduction to the concepts is followed by main sections including: • A Literature Review: covering the basic concepts an...

  15. Assessment of Research Needs for Coal Utilization

    Energy Technology Data Exchange (ETDEWEB)

    Penner, S.S.

    1983-08-01

    The Coal Combustion and Applications Working Group (CCAWG), at the request of J.W. Mares (Assistant Secretary for Fossil Energy) and A.W. Trivelpiece (Director, Office of Energy Research), has reviewed and evaluated the U.S. programs on coal combustion and utilization. The important topical areas of coal gasification and coal liquefaction have been deliberately excluded because R and D needs for these technologies were reviewed previously by the DOE Fossil Energy Research Working Group. The CCAWG studies were performed in order to provide an independent assessment of research areas that affect prospects for augmented coal utilization. In this report, we summarize the findings and research recommendations of CCAWG.

  16. Utility of Social Modeling for Proliferation Assessment - Preliminary Assessment

    Energy Technology Data Exchange (ETDEWEB)

    Coles, Garill A.; Gastelum, Zoe N.; Brothers, Alan J.; Thompson, Sandra E.

    2009-06-01

    This Preliminary Assessment draft report will present the results of a literature search and preliminary assessment of the body of research, analysis methods, models and data deemed to be relevant to the Utility of Social Modeling for Proliferation Assessment research. This report will provide: 1) a description of the problem space and the kinds of information pertinent to the problem space, 2) a discussion of key relevant or representative literature, 3) a discussion of models and modeling approaches judged to be potentially useful to the research, and 4) the next steps of this research that will be pursued based on this preliminary assessment. This draft report represents a technical deliverable for the NA-22 Simulations, Algorithms, and Modeling (SAM) program. Specifically this draft report is the Task 1 deliverable for project PL09-UtilSocial-PD06, Utility of Social Modeling for Proliferation Assessment. This project investigates non-traditional use of social and cultural information to improve nuclear proliferation assessment, including nonproliferation assessment, proliferation resistance assessments, safeguards assessments and other related studies. These assessments often use and create technical information about the State’s posture towards proliferation, the vulnerability of a nuclear energy system to an undesired event, and the effectiveness of safeguards. This project will find and fuse social and technical information by explicitly considering the role of cultural, social and behavioral factors relevant to proliferation. The aim of this research is to describe and demonstrate if and how social science modeling has utility in proliferation assessment.

  17. Utility communication networks and services specification, deployment and operation

    CERN Document Server

    2017-01-01

    This CIGRE green book begins by addressing the specification and provision of communication services in the context of operational applications for electrical power utilities, before subsequently providing guidelines on the deployment or transformation of networks to deliver these specific communication services. Lastly, it demonstrates how these networks and their services can be monitored, operated, and maintained to ensure that the requisite high level of service quality is consistently achieved.

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

    DEFF Research Database (Denmark)

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

    2014-01-01

    managing this fast flexibility requires two-way data exchange between a controller and sensors/meters via communication networks. In this paper we investigated scheduling of data collection utilizing meta-data from sensors that are describing dynamics of information. We show the applicability...... of this approach for a constraint communication networks of the smart grid and compared three general data access mechanisms, namely, push, pull and event-based....

  19. Image quality assessment using deep convolutional networks

    Science.gov (United States)

    Li, Yezhou; Ye, Xiang; Li, Yong

    2017-12-01

    This paper proposes a method of accurately assessing image quality without a reference image by using a deep convolutional neural network. Existing training based methods usually utilize a compact set of linear filters for learning features of images captured by different sensors to assess their quality. These methods may not be able to learn the semantic features that are intimately related with the features used in human subject assessment. Observing this drawback, this work proposes training a deep convolutional neural network (CNN) with labelled images for image quality assessment. The ReLU in the CNN allows non-linear transformations for extracting high-level image features, providing a more reliable assessment of image quality than linear filters. To enable the neural network to take images of any arbitrary size as input, the spatial pyramid pooling (SPP) is introduced connecting the top convolutional layer and the fully-connected layer. In addition, the SPP makes the CNN robust to object deformations to a certain extent. The proposed method taking an image as input carries out an end-to-end learning process, and outputs the quality of the image. It is tested on public datasets. Experimental results show that it outperforms existing methods by a large margin and can accurately assess the image quality on images taken by different sensors of varying sizes.

  20. Assessment of SRS ambient air monitoring network

    Energy Technology Data Exchange (ETDEWEB)

    Abbott, K. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL); Jannik, T. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL)

    2016-08-03

    Three methodologies have been used to assess the effectiveness of the existing ambient air monitoring system in place at the Savannah River Site in Aiken, SC. Effectiveness was measured using two metrics that have been utilized in previous quantification of air-monitoring network performance; frequency of detection (a measurement of how frequently a minimum number of samplers within the network detect an event), and network intensity (a measurement of how consistent each sampler within the network is at detecting events). In addition to determining the effectiveness of the current system, the objective of performing this assessment was to determine what, if any, changes could make the system more effective. Methodologies included 1) the Waite method of determining sampler distribution, 2) the CAP88- PC annual dose model, and 3) a puff/plume transport model used to predict air concentrations at sampler locations. Data collected from air samplers at SRS in 2015 compared with predicted data resulting from the methodologies determined that the frequency of detection for the current system is 79.2% with sampler efficiencies ranging from 5% to 45%, and a mean network intensity of 21.5%. One of the air monitoring stations had an efficiency of less than 10%, and detected releases during just one sampling period of the entire year, adding little to the overall network intensity. By moving or removing this sampler, the mean network intensity increased to about 23%. Further work in increasing the network intensity and simulating accident scenarios to further test the ambient air system at SRS is planned

  1. Utilizing Weak Indicators to Detect Anomalous Behaviors in Networks

    Energy Technology Data Exchange (ETDEWEB)

    Egid, Adin [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-11-01

    We consider the use of a novel weak in- dicator alongside more commonly used weak indicators to help detect anomalous behavior in a large computer network. The data of the network which we are studying in this research paper concerns remote log-in information (Virtual Private Network, or VPN sessions) from the internal network of Los Alamos National Laboratory (LANL). The novel indicator we are utilizing is some- thing which, while novel in its application to data science/cyber security research, is a concept borrowed from the business world. The Her ndahl-Hirschman Index (HHI) is a computationally trivial index which provides a useful heuristic for regulatory agencies to ascertain the relative competitiveness of a particular industry. Using this index as a lagging indicator in the monthly format we have studied could help to detect anomalous behavior by a particular or small set of users on the network.

  2. Transcriptional regulation of the carbohydrate utilization network in Thermotoga maritima

    Directory of Open Access Journals (Sweden)

    Dmitry A Rodionov

    2013-08-01

    Full Text Available Hyperthermophilic bacteria from the Thermotogales lineage can produce hydrogen by fermenting a wide range of carbohydrates. Previous experimental studies identified a large fraction of genes committed to carbohydrate degradation and utilization in the model bacterium Thermotoga maritima. Knowledge of these genes enabled comprehensive reconstruction of biochemical pathways comprising the carbohydrate utilization network. However, transcriptional factors (TFs and regulatory mechanisms driving this network remained largely unknown. Here, we used an integrated approach based on comparative analysis of genomic and transcriptomic data for the reconstruction of the carbohydrate utilization regulatory networks in 11 Thermotogales genomes. We identified DNA-binding motifs and regulons for 19 orthologous TFs in the Thermotogales. The inferred regulatory network in T. maritima contains 181 genes encoding TFs, sugar catabolic enzymes and ABC-family transporters. In contrast to many previously described bacteria, a transcriptional regulation strategy of Thermotoga does not employ global regulatory factors. The reconstructed regulatory network in T. maritima was validated by gene expression profiling on a panel of mono- and disaccharides and by in vitro DNA-binding assays. The observed upregulation of genes involved in catabolism of pectin, trehalose, cellobiose, arabinose, rhamnose, xylose, glucose, galactose, and ribose showed a strong correlation with the UxaR, TreR, BglR, CelR, AraR, RhaR, XylR, GluR, GalR, and RbsR regulons. Ultimately, this study elucidated the transcriptional regulatory network and mechanisms controlling expression of carbohydrate utilization genes in T. maritima. In addition to improving the functional annotations of associated transporters and catabolic enzymes, this research provides novel insights into the evolution of regulatory networks in Thermotogales.

  3. Bayesian networks in educational assessment

    CERN Document Server

    Almond, Russell G; Steinberg, Linda S; Yan, Duanli; Williamson, David M

    2015-01-01

    Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments. Part I develops Bayes nets’ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volume’s grounding in Evidence-Centered Design (ECD) framework for assessment design. This “design forward” approach enables designers to take full advantage of Bayes nets’ modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD, situates Bayes nets as ...

  4. Consulting report on the NASA technology utilization network system

    Science.gov (United States)

    Hlava, Marjorie M. K.

    1992-01-01

    The purposes of this consulting effort are: (1) to evaluate the existing management and production procedures and workflow as they each relate to the successful development, utilization, and implementation of the NASA Technology Utilization Network System (TUNS) database; (2) to identify, as requested by the NASA Project Monitor, the strengths, weaknesses, areas of bottlenecking, and previously unaddressed problem areas affecting TUNS; (3) to recommend changes or modifications of existing procedures as necessary in order to effect corrections for the overall benefit of NASA TUNS database production, implementation, and utilization; and (4) to recommend the addition of alternative procedures, routines, and activities that will consolidate and facilitate the production, implementation, and utilization of the NASA TUNS database.

  5. Theoretical Guidelines for the Utilization of Instructional Social Networking Websites

    Directory of Open Access Journals (Sweden)

    Ilker YAKIN

    2015-10-01

    Full Text Available interaction and communication technologies. Indeed, there has been an emerging movement in the interaction and communication technologies. More specifically, the growth of Web 2.0 technologies has acted as a catalyst for change in the disciplines of education. The social networking websites have gained popularity in recent years; therefore, many research studies have been conducted to explain how the use of social networking websites for instructional purposes. For the best practices, it is essential to understand theories associated with social networking studies because related theories for any subject may provide insights and guideline for professionals and researchers. This theoretical paper was designed to offer a road map through the literature in relation to the utilization of social networking websites by presenting main understandings of theories associated with social networking. The Uses and Gratification Theory, social network theory, connectives, and constructivism were selected to serve as a basis for designing social networking studies regarding instructional purposes. Moreover, common attributes of the theories and specific application areas were also discussed. This paper contributes to this emerging movement by explaining the role of these theories for researchers and practitioners to find ways to beneficially integrate them into their future research endeavors

  6. Direct-Sequence Spread-Spectrum Modulation for Utility Packet Transmission in Underwater Acoustic Communication Networks

    National Research Council Canada - National Science Library

    Duke, Peter

    2002-01-01

    ...) modulation for utility-packet transmission in Seaweb underwater wireless acoustic communications networks, Seaweb networks require robust channel-tolerant utility packets having a low probability of detection (LPD...

  7. Defense strategies for asymmetric networked systems under composite utilities

    Energy Technology Data Exchange (ETDEWEB)

    Rao, Nageswara S. [ORNL; Ma, Chris Y. T. [Hang Seng Management College, Hon Kong; Hausken, Kjell [University of Stavanger, Norway; He, Fei [Texas A& M University, Kingsville, TX, USA; Yau, David K. Y. [Singapore University of Technology and Design; Zhuang, Jun [University at Buffalo (SUNY)

    2017-11-01

    We consider an infrastructure of networked systems with discrete components that can be reinforced at certain costs to guard against attacks. The communications network plays a critical, asymmetric role of providing the vital connectivity between the systems. We characterize the correlations within this infrastructure at two levels using (a) aggregate failure correlation function that specifies the infrastructure failure probability giventhe failure of an individual system or network, and (b) first order differential conditions on system survival probabilities that characterize component-level correlations. We formulate an infrastructure survival game between an attacker and a provider, who attacks and reinforces individual components, respectively. They use the composite utility functions composed of a survival probability term and a cost term, and the previously studiedsum-form and product-form utility functions are their special cases. At Nash Equilibrium, we derive expressions for individual system survival probabilities and the expected total number of operational components. We apply and discuss these estimates for a simplified model of distributed cloud computing infrastructure

  8. Simultaneous Visualization of Different Utility Networks for Disaster Management

    Science.gov (United States)

    Semm, S.; Becker, T.; Kolbe, T. H.

    2012-07-01

    Cartographic visualizations of crises are used to create a Common Operational Picture (COP) and enforce Situational Awareness by presenting and representing relevant information. As nearly all crises affect geospatial entities, geo-data representations have to support location-specific decision-making throughout the crises. Since, Operator's attention span and their working memory are limiting factors for the process of getting and interpreting information; the cartographic presentation has to support individuals in coordinating their activities and with handling highly dynamic situations. The Situational Awareness of operators in conjunction with a COP are key aspects of the decision making process and essential for coming to appropriate decisions. Utility networks are one of the most complex and most needed systems within a city. The visualization of utility infrastructure in crisis situations is addressed in this paper. The paper will provide a conceptual approach on how to simplify, aggregate, and visualize multiple utility networks and their components to meet the requirements of the decision-making process and to support Situational Awareness.

  9. Utilizing evolutionary information and gene expression data for estimating gene networks with bayesian network models.

    Science.gov (United States)

    Tamada, Yoshinori; Bannai, Hideo; Imoto, Seiya; Katayama, Toshiaki; Kanehisa, Minoru; Miyano, Satoru

    2005-12-01

    Since microarray gene expression data do not contain sufficient information for estimating accurate gene networks, other biological information has been considered to improve the estimated networks. Recent studies have revealed that highly conserved proteins that exhibit similar expression patterns in different organisms, have almost the same function in each organism. Such conserved proteins are also known to play similar roles in terms of the regulation of genes. Therefore, this evolutionary information can be used to refine regulatory relationships among genes, which are estimated from gene expression data. We propose a statistical method for estimating gene networks from gene expression data by utilizing evolutionarily conserved relationships between genes. Our method simultaneously estimates two gene networks of two distinct organisms, with a Bayesian network model utilizing the evolutionary information so that gene expression data of one organism helps to estimate the gene network of the other. We show the effectiveness of the method through the analysis on Saccharomyces cerevisiae and Homo sapiens cell cycle gene expression data. Our method was successful in estimating gene networks that capture many known relationships as well as several unknown relationships which are likely to be novel. Supplementary information is available at http://bonsai.ims.u-tokyo.ac.jp/~tamada/bayesnet/.

  10. Development of a Deterministic Optimization Model for Design of an Integrated Utility and Hydrogen Supply Network

    Energy Technology Data Exchange (ETDEWEB)

    Hwangbo, Soonho; Lee, In-Beum [POSTECH, Pohang (Korea, Republic of); Han, Jeehoon [University of Wisconsin-Madison, Madison (United States)

    2014-10-15

    Lots of networks are constructed in a large scale industrial complex. Each network meet their demands through production or transportation of materials which are needed to companies in a network. Network directly produces materials for satisfying demands in a company or purchase form outside due to demand uncertainty, financial factor, and so on. Especially utility network and hydrogen network are typical and major networks in a large scale industrial complex. Many studies have been done mainly with focusing on minimizing the total cost or optimizing the network structure. But, few research tries to make an integrated network model by connecting utility network and hydrogen network. In this study, deterministic mixed integer linear programming model is developed for integrating utility network and hydrogen network. Steam Methane Reforming process is necessary for combining two networks. After producing hydrogen from Steam-Methane Reforming process whose raw material is steam vents from utility network, produced hydrogen go into hydrogen network and fulfill own needs. Proposed model can suggest optimized case in integrated network model, optimized blueprint, and calculate optimal total cost. The capability of the proposed model is tested by applying it to Yeosu industrial complex in Korea. Yeosu industrial complex has the one of the biggest petrochemical complex and various papers are based in data of Yeosu industrial complex. From a case study, the integrated network model suggests more optimal conclusions compared with previous results obtained by individually researching utility network and hydrogen network.

  11. Preliminary investigation of Brain Network Activation (BNA) and its clinical utility in sport-related concussion

    Science.gov (United States)

    Reches, A.; Kutcher, J.; Elbin, R. J.; Or-Ly, H.; Sadeh, B.; Greer, J.; McAllister, D. J.; Geva, A.; Kontos, A. P.

    2017-01-01

    ABSTRACT Background: The clinical diagnosis and management of patients with sport-related concussion is largely dependent on subjectively reported symptoms, clinical examinations, cognitive, balance, vestibular and oculomotor testing. Consequently, there is an unmet need for objective assessment tools that can identify the injury from a physiological perspective and add an important layer of information to the clinician’s decision-making process. Objective: The goal of the study was to evaluate the clinical utility of the EEG-based tool named Brain Network Activation (BNA) as a longitudinal assessment method of brain function in the management of young athletes with concussion. Methods: Athletes with concussion (n = 86) and age-matched controls (n = 81) were evaluated at four time points with symptom questionnaires and BNA. BNA scores were calculated by comparing functional networks to a previously defined normative reference brain network model to the same cognitive task. Results: Subjects above 16 years of age exhibited a significant decrease in BNA scores immediately following injury, as well as notable changes in functional network activity, relative to the controls. Three representative case studies of the tested population are discussed in detail, to demonstrate the clinical utility of BNA. Conclusion: The data support the utility of BNA to augment clinical examinations, symptoms and additional tests by providing an effective method for evaluating objective electrophysiological changes associated with sport-related concussions. PMID:28055228

  12. An Anticipatory and Deceptive AI Utilizing Bayesian Belief Networks

    Energy Technology Data Exchange (ETDEWEB)

    Lake, Joe E [ORNL; Allgood, Glenn O [ORNL; Olama, Mohammed M [ORNL; Saffold, JAy [Research Network, Inc

    2009-01-01

    The U.S. military defines antiterrorism as the defensive posture taken against terrorist threats. Antiterrorism includes fostering awareness of potential threats, deterring aggressors, developing security measures, planning for future events, interdicting an event in progress, and ultimately mitigating and managing the consequences of an event. Recent events highlight the need for efficient tools for training our military and homeland security officers for anticipating threats posed by terrorists. These tools need to be easy enough so that they are readily usable without substantial training, but still maintain the complexity to allow for a level of deceptive reasoning on the part of the opponent. To meet this need, we propose to integrate a Bayesian Belief Network (BBN) model for threat anticipation and deceptive reasoning into training simulation environments currently utilized by several organizations within the Department of Defense (DoD). BBNs have the ability to deal with various types of uncertainties; such as identities, capabilities, target attractiveness, and the combinations of the previous. They also allow for disparate types of data to be fused in a coherent, analytically defensible, and understandable manner. A BBN has been developed by ORNL uses a network engineering process that treats the probability distributions of each node with in the broader context of the system development effort as a whole, and not in isolation. The network will be integrated into the Research Network Inc,(RNI) developed Game Distributed Interactive Simulation (GDIS) as a smart artificial intelligence module. GDIS is utilized by several DoD and civilian organizations as a distributed training tool for a multiplicity of reasons. It has garnered several awards for its realism, ease of use, and popularity. One area that it still has room to excel in, as most video training tools do, is in the area of artificial intelligence of opponent combatants. It is believed that by

  13. Network Vulnerability and Risk Assessment

    National Research Council Canada - National Science Library

    Alward, Randy G; Carley, Kathleen M; Madsen, Fredrik; Taylor, Vincent K; Vandenberghe, Grant

    2006-01-01

    To help understand a network and its ability to continue operating when under attack, the break out group discussed issues that need to be considered when presenting network vulnerability information...

  14. Depressive symptoms, social network, and bereavement service utilization and preferences among spouses of former hospice patients.

    Science.gov (United States)

    Bergman, Elizabeth J; Haley, William E

    2009-02-01

    Bereavement services are an important part of comprehensive end-of-life care with potential to ameliorate physical, psychological, and spiritual distress. We studied bereaved spouses of hospice patients to examine bereavement service utilization, barriers, and preferences regarding content, structure, and delivery of potential bereavement services. We also examined the impact of depressive symptoms and social network. Retrospective cohort study of bereaved spousal caregivers of patients of three hospices in Tampa Bay, Florida. Descriptive and univariate analyses assessed demographics, depressive symptoms, social network, service utilization, barriers, and preferences. Nearly half utilized at least one type of specialized professional bereavement intervention to aid in coping with their loss. The most frequently used services were provided by clergy members and physicians. Primarily attitudinal in nature, barriers included the finding that more than one third felt available services did not fit their needs or interests. Individual and spiritually-based services were highly endorsed, as were services designed to provide tools to reframe the loss and cope with accompanying changes and emotions. Lower social network was associated with higher content preferences for services consistent primarily with restoration-oriented coping. Clinicians and service providers may facilitate coping by routinely screening for depressive symptoms and social network and tailoring interventions to those identified as experiencing elevated distress or lacking social resources. Attitudinal barriers and preferences suggest that even in the service-rich environment of hospice some modification of bereavement services might reach more bereaved spouses. Future studies might address whether preferences lead individuals to services of the greatest benefit.

  15. Synthesis and Design of a Sustainable CO2 Utilization Network

    DEFF Research Database (Denmark)

    Frauzem, Rebecca; Gani, Rafiqul

    In response to increasing regulations and concern about the impact of greenhouse gases on the environment, carbon dioxide (CO2) emissions are targeted for reduction. One method is the conversion of CO2 to useful compounds via chemical reactions. However, conversion is still in its infancy...... processing block. CO2 conversion processes show promise as an additional method for the sustainable reduction of CO2 emissions....... a superstructure-based approach a network of utilization alternatives is created linking CO2 and other raw materials with various products using processing blocks. This will then be optimized and verified for sustainability. Detailed design has also been performed for a case study on the methanol synthesis...

  16. Visual Tracking Utilizing Object Concept from Deep Learning Network

    Science.gov (United States)

    Xiao, C.; Yilmaz, A.; Lia, S.

    2017-05-01

    Despite having achieved good performance, visual tracking is still an open area of research, especially when target undergoes serious appearance changes which are not included in the model. So, in this paper, we replace the appearance model by a concept model which is learned from large-scale datasets using a deep learning network. The concept model is a combination of high-level semantic information that is learned from myriads of objects with various appearances. In our tracking method, we generate the target's concept by combining the learned object concepts from classification task. We also demonstrate that the last convolutional feature map can be used to generate a heat map to highlight the possible location of the given target in new frames. Finally, in the proposed tracking framework, we utilize the target image, the search image cropped from the new frame and their heat maps as input into a localization network to find the final target position. Compared to the other state-of-the-art trackers, the proposed method shows the comparable and at times better performance in real-time.

  17. Enhancing the Applied Utility of Functional Assessment.

    Science.gov (United States)

    Reid, Dennis H.

    2000-01-01

    This commentary discusses how existing technology and application of functional assessment can be expanded to improve the lives of more people with severe disabilities. It emphasizes how functional assessment can enhance life quality in typical settings in which people with severe disabilities and challenging behavior live, work, and play.…

  18. Case History of Assessment, Development and Utilization

    Energy Technology Data Exchange (ETDEWEB)

    Lienau, Paul J.; Culver, Gene; Lund, John W.

    1989-09-01

    Klamath Falls, Oregon, is located in a Known Geothermal Resource Area (KGRA) which has been used by residents, principally to obtain geothermal fluids for space heating, at least since the turn of the century. Over 500 shallow-depth wells ranging from 90 to 2,000 ft (27 to 610 m) in depth are used to heat (35 MWt) over 600 structures. This utilization includes the heating of homes, apartments, schools, commercial buildings, hospital, county jail, YMCA, and swimming pools by individual wells and three district heating systems. Geothermal well temperatures range from 100 to 230oF (38 to 110oC) and the most common practice is to use downhole heat exchangers with city water as the circulating fluid. Larger facilities and district heating systems use lineshaft vertical turbine pumps and plate heat exchangers. Well water chemistry indicates approximately 800 ppm dissolved solids, with sodium sulfate having the highest concentration. Some scaling and corrosion does occur on the downhole heat exchangers (black iron pipe) and on heating systems where the geo-fluid is used directly. The development of the city district heating system in 1981, resulted in perhaps the most extensive and, in some ways, the most complete aquifer tests ever conducted in the United States. Hundreds of private well owners using downhole heat exchangers were concerned that pumping the reservoir would impact the performance of their wells. The geological setting, historical development, and reservoir testing that led up to this major aquifer stress test in 1983 are presented. The institutional and legal problems that resulted in the establishment of a city ordinance controlling the use of the resource and a Geothermal Advisory Committee to oversee future utilization and development are also discussed.

  19. An Ecological Network of Polysaccharide Utilization Among Human Intestinal Symbionts

    Science.gov (United States)

    Rakoff-Nahoum, Seth; Coyne, Michael J.; Comstock, Laurie E.

    2013-01-01

    Summary Background: The human intestine is colonized with trillions of microorganisms important to health and disease. There has been an intensive effort to catalog the species and genetic content of this microbial ecosystem. However, little is known of the ecological interactions between these microbes, a prerequisite to understanding the dynamics and stability of this host-associated microbial community. Here we perform a systematic investigation of public goods-based syntrophic interactions among the abundant human gut bacteria, the Bacteroidales. Results: We find evidence for a rich interaction network based on the breakdown and use of polysaccharides. Species that utilize a particular polysaccharide (producers) liberate polysaccharide breakdown products (PBP) that are consumed by other species unable to grow on the polysaccharide alone (recipients). Cross-species gene addition experiments demonstrate that recipients can grow on a polysaccharide if the producer-derived glycoside hydrolase, responsible for PBP generation, is provided. These producer-derived glycoside hydrolases are public goods transported extracellularly in outer membrane vesicles allowing for the creation of PBP and concomitant recipient growth spatially distant from the producer. Recipients can exploit these ecological interactions and conditionally outgrow producers. Finally, we show that these public good-based interactions occur among Bacteroidales species co-resident within a natural human intestinal community. Conclusions: This study examines public-goods based syntrophic interactions between bacterial members of the critically important gut microbial ecosystem. This polysaccharide-based network likely represents foundational relationships creating organized ecological units within the intestinal microbiota, knowledge of which can be applied to impact human health. PMID:24332541

  20. Modeling Diagnostic Assessments with Bayesian Networks

    Science.gov (United States)

    Almond, Russell G.; DiBello, Louis V.; Moulder, Brad; Zapata-Rivera, Juan-Diego

    2007-01-01

    This paper defines Bayesian network models and examines their applications to IRT-based cognitive diagnostic modeling. These models are especially suited to building inference engines designed to be synchronous with the finer grained student models that arise in skills diagnostic assessment. Aspects of the theory and use of Bayesian network models…

  1. An alternative respiratory sounds classification system utilizing artificial neural networks

    Directory of Open Access Journals (Sweden)

    Rami J Oweis

    2015-04-01

    Full Text Available Background: Computerized lung sound analysis involves recording lung sound via an electronic device, followed by computer analysis and classification based on specific signal characteristics as non-linearity and nonstationarity caused by air turbulence. An automatic analysis is necessary to avoid dependence on expert skills. Methods: This work revolves around exploiting autocorrelation in the feature extraction stage. All process stages were implemented in MATLAB. The classification process was performed comparatively using both artificial neural networks (ANNs and adaptive neuro-fuzzy inference systems (ANFIS toolboxes. The methods have been applied to 10 different respiratory sounds for classification. Results: The ANN was superior to the ANFIS system and returned superior performance parameters. Its accuracy, specificity, and sensitivity were 98.6%, 100%, and 97.8%, respectively. The obtained parameters showed superiority to many recent approaches. Conclusions: The promising proposed method is an efficient fast tool for the intended purpose as manifested in the performance parameters, specifically, accuracy, specificity, and sensitivity. Furthermore, it may be added that utilizing the autocorrelation function in the feature extraction in such applications results in enhanced performance and avoids undesired computation complexities compared to other techniques.

  2. An alternative respiratory sounds classification system utilizing artificial neural networks.

    Science.gov (United States)

    Oweis, Rami J; Abdulhay, Enas W; Khayal, Amer; Awad, Areen

    2015-01-01

    Computerized lung sound analysis involves recording lung sound via an electronic device, followed by computer analysis and classification based on specific signal characteristics as non-linearity and nonstationarity caused by air turbulence. An automatic analysis is necessary to avoid dependence on expert skills. This work revolves around exploiting autocorrelation in the feature extraction stage. All process stages were implemented in MATLAB. The classification process was performed comparatively using both artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) toolboxes. The methods have been applied to 10 different respiratory sounds for classification. The ANN was superior to the ANFIS system and returned superior performance parameters. Its accuracy, specificity, and sensitivity were 98.6%, 100%, and 97.8%, respectively. The obtained parameters showed superiority to many recent approaches. The promising proposed method is an efficient fast tool for the intended purpose as manifested in the performance parameters, specifically, accuracy, specificity, and sensitivity. Furthermore, it may be added that utilizing the autocorrelation function in the feature extraction in such applications results in enhanced performance and avoids undesired computation complexities compared to other techniques.

  3. On Hybrid Energy Utilization in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Mohammad Tala’t

    2017-11-01

    Full Text Available In a wireless sensor network (WSN, many applications have limited energy resources for data transmission. In order to accomplish a better green communication for WSN, a hybrid energy scheme can supply a more reliable energy source. In this article, hybrid energy utilization—which consists of constant energy source and solar harvested energy—is considered for WSN. To minimize constant energy usage from the hybrid source, a Markov decision process (MDP is designed to find the optimal transmission policy. With a finite packet buffer and a finite battery size, an MDP model is presented to define the states, actions, state transition probabilities, and the cost function including the cost values for all actions. A weighted sum of constant energy source consumption and a packet dropping probability (PDP are adopted as the cost value, enabling us to find the optimal solution for balancing the minimization of the constant energy source utilization and the PDP using a value iteration algorithm. As shown in the simulation results, the performance of optimal solution using MDP achieves a significant improvement compared to solution without its use.

  4. Dim Networks: The Utility of Social Network Analysis for Illuminating Partner Security Force Networks

    Science.gov (United States)

    2015-12-01

    Eigenvector centrality ......................................................88 xii THIS PAGE INTENTIONALLY LEFT BLANK xiii LIST OF ACRONYMS AND...should be engaged. This determination will be based on simple SNA centrality measures, total degree,9 betweenness,10 closeness,11 and Eigenvector ...11 Closeness centrality measures how close each node is to all the other nodes in a network by their path distance. 12 Eigenvector centrality

  5. THEORETICAL GUIDELINES FOR THE UTILIZATION OF INSTRUCTIONAL SOCIAL NETWORKING WEBSITES

    National Research Council Canada - National Science Library

    YAKIN, Ilker; TINMAZ, Hasan

    2015-01-01

    .... The social networking websites have gained popularity in recent years; therefore, many research studies have been conducted to explain how the use of social networking websites for instructional purposes...

  6. IFC to CityGML Transformation Framework for Geo-Analysis : A Water Utility Network Case

    NARCIS (Netherlands)

    Hijazi, I.; Ehlers, M.; Zlatanova, S.; Isikdag, U.

    2009-01-01

    The development of semantic 3D city models has allowed for new approaches to town planning and urban management (Benner et al. 2005) such as emergency and catastrophe planning, checking building developments, and utility networks. Utility networks inside buildings are composed of pipes and cables

  7. Utilization of extended bayesian networks in decision making under uncertainty

    Energy Technology Data Exchange (ETDEWEB)

    Van Eeckhout, Edward M [Los Alamos National Laboratory; Leishman, Deborah A [Los Alamos National Laboratory; Gibson, William L [Los Alamos National Laboratory

    2009-01-01

    Bayesian network tool (called IKE for Integrated Knowledge Engine) has been developed to assess the probability of undesirable events. The tool allows indications and observables from sensors and/or intelligence to feed directly into hypotheses of interest, thus allowing one to quantify the probability and uncertainty of these events resulting from very disparate evidence. For example, the probability that a facility is processing nuclear fuel or assembling a weapon can be assessed by examining the processes required, establishing the observables that should be present, then assembling information from intelligence, sensors and other information sources related to the observables. IKE also has the capability to determine tasking plans, that is, prioritize which observable should be collected next to most quickly ascertain the 'true' state and drive the probability toward 'zero' or 'one.' This optimization capability is called 'evidence marshaling.' One example to be discussed is a denied facility monitoring situation; there is concern that certain process(es) are being executed at the site (due to some intelligence or other data). We will show how additional pieces of evidence will then ascertain with some degree of certainty the likelihood of this process(es) as each piece of evidence is obtained. This example shows how both intelligence and sensor data can be incorporated into the analysis. A second example involves real-time perimeter security. For this demonstration we used seismic, acoustic, and optical sensors linked back to IKE. We show how these sensors identified and assessed the likelihood of 'intruder' versus friendly vehicles.

  8. A shallow convolutional neural network for blind image sharpness assessment.

    Science.gov (United States)

    Yu, Shaode; Wu, Shibin; Wang, Lei; Jiang, Fan; Xie, Yaoqin; Li, Leida

    2017-01-01

    Blind image quality assessment can be modeled as feature extraction followed by score prediction. It necessitates considerable expertise and efforts to handcraft features for optimal representation of perceptual image quality. This paper addresses blind image sharpness assessment by using a shallow convolutional neural network (CNN). The network takes single feature layer to unearth intrinsic features for image sharpness representation and utilizes multilayer perceptron (MLP) to rate image quality. Different from traditional methods, CNN integrates feature extraction and score prediction into an optimization procedure and retrieves features automatically from raw images. Moreover, its prediction performance can be enhanced by replacing MLP with general regression neural network (GRNN) and support vector regression (SVR). Experiments on Gaussian blur images from LIVE-II, CSIQ, TID2008 and TID2013 demonstrate that CNN features with SVR achieves the best overall performance, indicating high correlation with human subjective judgment.

  9. Economic and environmental optimization of a multi-site utility network for an industrial complex.

    Science.gov (United States)

    Kim, Sang Hun; Yoon, Sung-Geun; Chae, Song Hwa; Park, Sunwon

    2010-01-01

    Most chemical companies consume a lot of steam, water and electrical resources in the production process. Given recent record fuel costs, utility networks must be optimized to reduce the overall cost of production. Environmental concerns must also be considered when preparing modifications to satisfy the requirements for industrial utilities, since wastes discharged from the utility networks are restricted by environmental regulations. Construction of Eco-Industrial Parks (EIPs) has drawn attention as a promising approach for retrofitting existing industrial parks to improve energy efficiency. The optimization of the utility network within an industrial complex is one of the most important undertakings to minimize energy consumption and waste loads in the EIP. In this work, a systematic approach to optimize the utility network of an industrial complex is presented. An important issue in the optimization of a utility network is the desire of the companies to achieve high profits while complying with the environmental regulations. Therefore, the proposed optimization was performed with consideration of both economic and environmental factors. The proposed approach consists of unit modeling using thermodynamic principles, mass and energy balances, development of a multi-period Mixed Integer Linear Programming (MILP) model for the integration of utility systems in an industrial complex, and an economic/environmental analysis of the results. This approach is applied to the Yeosu Industrial Complex, considering seasonal utility demands. The results show that both the total utility cost and waste load are reduced by optimizing the utility network of an industrial complex. 2009 Elsevier Ltd. All rights reserved.

  10. The utilization of social networking as promotion media (Case study: Handicraft business in Palembang)

    OpenAIRE

    Rahadi, Dedi Rianto; Abdillah, Leon Andretti

    2013-01-01

    Nowadays social media (Twitter, Facebook, etc.), not only simply as communication media, but also for promotion. Social networking media offers many business benefits for companies and organizations. Research purposes is to determine the model of social network media utilization as a promotional media for handicraft business in Palembang city. Qualitative and quantitative research design are used to know how handicraft business in Palembang city utilizing social media networking as a promotio...

  11. Network Intelligence Based on Network State Information for Connected Vehicles Utilizing Fog Computing

    Directory of Open Access Journals (Sweden)

    Seongjin Park

    2017-01-01

    Full Text Available This paper proposes a method to take advantage of fog computing and SDN in the connected vehicle environment, where communication channels are unstable and the topology changes frequently. A controller knows the current state of the network by maintaining the most recent network topology. Of all the information collected by the controller in the mobile environment, node mobility information is particularly important. Thus, we divide nodes into three classes according to their mobility types and use their related attributes to efficiently manage the mobile connections. Our approach utilizes mobility information to reduce control message overhead by adjusting the period of beacon messages and to support efficient failure recovery. One is to recover the connection failures using only mobility information, and the other is to suggest a real-time scheduling algorithm to recover the services for the vehicles that lost connection in the case of a fog server failure. A real-time scheduling method is first described and then evaluated. The results show that our scheme is effective in the connected vehicle environment. We then demonstrate the reduction of control overhead and the connection recovery by using a network simulator. The simulation results show that control message overhead and failure recovery time are decreased by approximately 55% and 5%, respectively.

  12. System of Systems Engineering and Integration Process for Network Transport Assessment

    Science.gov (United States)

    2016-09-01

    through the process to ensure oversight of design and tradeoff decisions for network throughput analyses. 14. SUBJECT TERMS network transport , SoS... Distribution is unlimited. SYSTEM OF SYSTEMS ENGINEERING AND INTEGRATION PROCESS FOR NETWORK TRANSPORT ASSESSMENT Matthew B. Rambo Civilian...engineering processes to utilize to address network transport design and testing? 2. How can SoS data throughput requirements be identified and

  13. Self-Optimization of LTE Networks Utilizing Celnet Xplorer

    CERN Document Server

    Buvaneswari, A; Polakos, Paul; Buvaneswari, Arumugam

    2010-01-01

    In order to meet demanding performance objectives in Long Term Evolution (LTE) networks, it is mandatory to implement highly efficient, autonomic self-optimization and configuration processes. Self-optimization processes have already been studied in second generation (2G) and third generation (3G) networks, typically with the objective of improving radio coverage and channel capacity. The 3rd Generation Partnership Project (3GPP) standard for LTE self-organization of networks (SON) provides guidelines on self-configuration of physical cell ID and neighbor relation function and self-optimization for mobility robustness, load balancing, and inter-cell interference reduction. While these are very important from an optimization perspective of local phenomenon (i.e., the eNodeB's interaction with its neighbors), it is also essential to architect control algorithms to optimize the network as a whole. In this paper, we propose a Celnet Xplorer-based SON architecture that allows detailed analysis of network performan...

  14. The Convergence Scheme on Network Utility Maximization in Wireless Multicast Networks

    Directory of Open Access Journals (Sweden)

    Y. Chen

    2013-08-01

    Full Text Available With the ever-increasing wireless data application recently, considerable efforts have been focused on the designof distributed explicit rate scheme based on Network Utility Maximization (NUM or wireless multi-hop meshnetworks. This paper describes a novel wireless multi-hop multicast flow control scheme for wireless meshnetworks via 802.11, which is based on the distributed self-turning Optimal Proportional plus Second-orderDifferential (OPSD controller. The control scheme, which is located at the sources in the wireless multicastnetworks, can ensure short convergence time by regulating the transmission rate. We further analyze thetheoretical aspects of the proposed algorithm. Simulation results demonstrate the efficiency of the proposedscheme in terms of fast response time, low packet loss and error ration.

  15. Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic System

    Directory of Open Access Journals (Sweden)

    A. A. Salama

    2015-03-01

    Full Text Available In this paper, we present a review of different recommender system algorithms that are utilized in social networks based e-Learning systems. Future research will include our proposed our e-Learning system that utilizes Recommender System and Social Network. Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache in [21, 22, 23] and Salama et al. in [24-66].The purpose of this paper is to utilize a neutrosophic set to analyze social networks data conducted through learning activities.

  16. Demand Based Effective Energy Utilization in Mobile Ad Hoc Networks

    OpenAIRE

    Bhuvaneswari, R.; Viswanathan, M

    2012-01-01

    Mobile Ad Hoc Networks (MANET) are the collection of mobile nodes without any centralized infrastructure. The underlying assumption is that the intermediate nodes cooperate in forwarding packets. Mobile nodes collects the route information through overhearing and stores these information in route caches with the use of Dynamic Source Routing (DSR) Protocol. These nodes consume power unnecessarily due to overhearing the transmissions of their neighbors. Due to this, the network performance is ...

  17. The thematic plant life assessment network (PLAN)

    Energy Technology Data Exchange (ETDEWEB)

    Hurst, R.C.; McGarry, D. [EC/JRC Institute for Advanced Materials, Petten (Netherlands); Pedersen, H.H. [Brite Euram DG XII, Brussels (Belgium)

    1998-12-31

    The Plant Life Assessment Network (PLAN) is a Brite Euram Type II Thematic Network, initiated by the European Commission to facilitate structured co-operation between all cost shared action projects already funded by the Commission which fall under this common technical theme. The projects involved address a multiplicity of problems associated with plant life assessment and are drawn from Brite-Euram, Standards, Measurement and Testing, Nuclear Fission Safety and Esprit EC programmes. The main aim of the Network is to initiate, maintain and monitor a fruitful co-operation process between completed, ongoing and future EC R and D projects, thereby promoting improved cross fertilization and enhanced industrial exploitation of R and D results. As the project is in its infancy, this presentation covers the background to the initiative in some detail. In particular two key aspects are highlighted, namely, the requirement of the EC to launch such a network in the area of plant life assessment including its evolution from two small Thematic Research Actions and, secondly, the mechanism for structuring the Network in an ordered and proven way along the lines of the EC/JRC European Networks, PISC, NESC, AMES, ENIQ, ENAIS and EPERC. The operating and financial structure of the Network is detailed with reference made to the role of the executive Steering Committee, The Network Project Leader and the Network Financial Co-ordinator. Each of the 58 projects involved in the Network, representing a wide range of industrial sectors and disciplines, is distributed in terms of their efforts between 4 disciplinary Clusters covering Inspection, Instrumentation and Monitoring, Structural Mechanics and Maintenance. For each of these Clusters, an expert has been appointed as a Project Technical Auditor to support the elected Cluster Co-ordinator to define Cluster Tasks, which contribute to the overall objectives of the project. From the Project Representatives, Cluster Task Leaders and

  18. Utilization of Selected Data Mining Methods for Communication Network Analysis

    Directory of Open Access Journals (Sweden)

    V. Ondryhal

    2011-06-01

    Full Text Available The aim of the project was to analyze the behavior of military communication networks based on work with real data collected continuously since 2005. With regard to the nature and amount of the data, data mining methods were selected for the purpose of analyses and experiments. The quality of real data is often insufficient for an immediate analysis. The article presents the data cleaning operations which have been carried out with the aim to improve the input data sample to obtain reliable models. Gradually, by means of properly chosen SW, network models were developed to verify generally valid patterns of network behavior as a bulk service. Furthermore, unlike the commercially available communication networks simulators, the models designed allowed us to capture nonstandard models of network behavior under an increased load, verify the correct sizing of the network to the increased load, and thus test its reliability. Finally, based on previous experience, the models enabled us to predict emergency situations with a reasonable accuracy.

  19. Utilizing Graphics Processing Units for Network Anomaly Detection

    Science.gov (United States)

    2012-09-13

    utilizes CUDA to accelerate the computation of MD5 hashes for detecting malicious files, a technique commonly used in antivirus products such as clamAV...matching and hash calculation. Kouzinopoulos and Margaritis utilize the GPU to perform string matching using parallel implementations of several...forensics in the area of data carving. The GPU is used to hash byte patterns and search a hash database in GPU memory, realizing a 13x speedup over the CPU

  20. Formerly Utilized Sites Remedial Action Program environmental compliance assessment checklists

    Energy Technology Data Exchange (ETDEWEB)

    Levine, M.B.; Sigmon, C.F.

    1989-09-29

    The purpose of the Environmental Compliance Assessment Program is to assess the compliance of Formerly Utilized Site Remedial Action Program (FUSRAP) sites with applicable environmental regulations and Department of Energy (DOE) Orders. The mission is to identify, assess, and decontaminate sites utilized during the 1940s, 1950s, and 1960s to process and store uranium and thorium ores in support of the Manhattan Engineer District and the Atomic Energy Commission. To conduct the FUSRAP environmental compliance assessment, checklists were developed that outline audit procedures to determine the compliance status of the site. The checklists are divided in four groups to correspond to these regulatory areas: Hazardous Waste Management, PCB Management, Air Emissions, and Water Discharges.

  1. Empirical generalization assessment of neural network models

    DEFF Research Database (Denmark)

    Larsen, Jan; Hansen, Lars Kai

    1995-01-01

    This paper addresses the assessment of generalization performance of neural network models by use of empirical techniques. We suggest to use the cross-validation scheme combined with a resampling technique to obtain an estimate of the generalization performance distribution of a specific model...

  2. Networked Resources, Assessment and Collection Development

    Science.gov (United States)

    Samson, Sue; Derry, Sebastian; Eggleston, Holly

    2004-01-01

    This project provides a critical evaluation of networked resources as they relate to the library's collection development policy, identifies areas of the curriculum not well represented, establishes a reliable method of assessing usage across all resources, and develops a framework of quantitative data for collection development decision making.

  3. Online Formative Assessments with Social Network Awareness

    Science.gov (United States)

    Lin, Jian-Wei; Lai, Yuan-Cheng

    2013-01-01

    Social network awareness (SNA) has been used extensively as one of the strategies to increase knowledge sharing and collaboration opportunities. However, most SNA studies either focus on being aware of peer's knowledge context or on social context. This work proposes online formative assessments with SNA, trying to address the problems of online…

  4. Assessing the utilization of personnel in the management of ...

    African Journals Online (AJOL)

    Assessing the utilization of personnel in the management of technical education in Akwa Ibom State, Nigeria. ... Global Journal of Educational Research ... and used to elicit data from the state technical school Board on students' enrolment, teaching personnel statistics as well as teachers' qualifications and experience.

  5. Assessment of safe delivery service utilization among women of ...

    African Journals Online (AJOL)

    are dying due to factors related to pregnancy and childbirth in these countries. Objective: This study assessed safe delivery services ... survival of small children (4, 5). As many as 30 million women (more than one ..... services utilization and health care seeking behavior during infant rearing: A longitudinal community.

  6. assessing the utilization of personnel in the management of ...

    African Journals Online (AJOL)

    LUCY

    The study assesses the utilization of technical teachers in Akwa Ibom State technical colleges. The study design was ex-post facto. Three research questions were formulated to guide the study. The population of the study consisted of all the technical colleges in Akwa Ibom State. Inventory method titled: ”Teaching ...

  7. Cost-Utility Analysis in Educational Needs Assessment

    Science.gov (United States)

    Ross, John A.

    2008-01-01

    Educational needs assessments (hereafter NAs) are inattentive to cost considerations and are frequently dominated by elite stakeholder groups. In this article I make a case for adopting a cost-utility approach, illustrating the argument with data generated in a NA of central library services in a Canadian school district. Using survey data from…

  8. GPP Webinar: Solar Utilization in Higher Education Networking & Information Sharing Group: Financing Issues Discussion

    Science.gov (United States)

    This presentation from a Solar Utilization in Higher Education Networking and Information webinar covers financing and project economics issues related to solar project development in the higher education sector.

  9. IDENTIFYING TELECOMMUNICATIONS NETWORK NEEDS TO SUPPORT THE DEPLOYMENT OF SMART METERS IN A WATER UTILITY

    National Research Council Canada - National Science Library

    Samuel de Barros Moraes; Celi Langhi; Marcos Crivelaro

    2015-01-01

      This case study, based on interviews and technical analysis of a Brazilian water utility with more than 10 million clients, aims to understand what kind of adjusts on a telecommunications network...

  10. Teaching Students How to Integrate and Assess Social Networking Tools in Marketing Communications

    Science.gov (United States)

    Schlee, Regina Pefanis; Harich, Katrin R.

    2013-01-01

    This research is based on two studies that focus on teaching students how to integrate and assess social networking tools in marketing communications. Study 1 examines how students in marketing classes utilize social networking tools and explores their attitudes regarding the use of such tools for marketing communications. Study 2 focuses on an…

  11. Assessing the molecular genetics of attention networks

    Directory of Open Access Journals (Sweden)

    Pfaff Donald W

    2002-10-01

    Full Text Available Abstract Background Current efforts to study the genetic underpinnings of higher brain functions have been lacking appropriate phenotypes to describe cognition. One of the problems is that many cognitive concepts for which there is a single word (e.g. attention have been shown to be related to several anatomical networks. Recently, we have developed an Attention Network Test (ANT that provides a separate measure for each of three anatomically defined attention networks. Results In this study we have measured the efficiency of neural networks related to aspects of attention using the ANT in a population of 200 adult subjects. We then examined genetic polymorphisms in four candidate genes (DRD4, DAT, COMT and MAOA that have been shown to contribute to the risk of developing various psychiatric disorders where attention is disrupted. We find modest associations of several polymorphisms with the efficiency of executive attention but not with overall performance measures such as reaction time. Conclusions These results suggest that genetic variation may underlie inter-subject variation in the efficiency of executive attention. This study also shows that genetic influences on executive attention may be specific to certain anatomical networks rather than affecting performance in a global or non-specific manner. Lastly, this study further validates the ANT as an endophenotypic assay suitable for assessing how genes influence certain anatomical networks that may be disrupted in various psychiatric disorders.

  12. Novel methods of utilizing Jitter for Network Congestion Control

    Directory of Open Access Journals (Sweden)

    Ivan

    2013-12-01

    Full Text Available This paper proposes a novel paradigm for network congestion control. Instead of perpetual conflict as in TCP, a proof-of-concept first-ever protocol enabling inter-flow communication without infrastructure support thru a side channel constructed on generic FIFO queue behaviour is presented. This enables independent flows passing thru the same bottleneck queue to communicate and achieve fair capacity sharing and a stable equilibrium state in a rapid fashion.

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

    Science.gov (United States)

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

    2015-01-01

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

  14. Optimization of spectral band utilization in gridless WDM optical network

    Science.gov (United States)

    Martins, Indayara B.; Aldaya, Ivan; Perez-Sanchez, G.; Gallion, Philippe

    2014-02-01

    In this paper, the effects of gridless spectrum allocation in Wavelength Division Multiplexed (WDM) optical networks are examined. The advanced modulation formats and multi-rate transmissions of the signals, which are key parameters in the optical system project, are taken into account. The consumed spectrum, as well as the impact of linear and nonlinear impairments on the signal transmission, are compared to WDM network adopting standard grid and gridless ITU. To analyze the influence of these physical effects, some key network design parameters are monitored and evaluated, such as the guard band size, the signal occupied bandwidth, the laser power and the quality of channels. The applied signal modulation formats were On/Off Keying (OOK), Quadrature Phase Shift keying (QPSK), and Dual Polarization State Phase Modulation (DP-QPSK), whereas the transmission rate per wavelength was varied from 10 Gb/s to 100Ghz. The guard band, signal band, and laser power were swept and the resulted Bit Error Rate (BER) was estimated from the eye-diagram. Analytical calculations and simulations are conducted in order to evaluate the impact of the gridless spectrum allocation on both the spectral consumption and the signal quality of transmission (QoT). Results reveal that a gridless transmission system reduces the spectral consumption while offering an acceptable QoT. This work was carried out with both analytical modeling and numerical calculation using the Optisystem as well as Matlab.

  15. Air pollution exposure assessment methods utilized in epidemiological studies.

    Science.gov (United States)

    Zou, Bin; Wilson, J Gaines; Zhan, F Benjamin; Zeng, Yongnian

    2009-03-01

    The assessment of personal exposure to air pollution is a critical component of epidemiological studies associating air pollution and health effects. This paper critically reviewed 157 studies over 29 years that utilized one of five categories of exposure methods (proximity, air dispersion, hybrid, human inhalation, and biomarkers). Proximity models were found to be a questionable technique as they assume that closer proximity equates to greater exposure. Inhalation models and biomarker estimates were the most effective in assessing personal exposure, but are often cost prohibitive for large study populations. This review suggests that: (i) factors such as uncertainty, validity, data availability, and transferability related to exposure assessment methods should be considered when selecting a model; and (ii) although an entirely discreet new class of approach is not necessary, significant progress could be made through the development of a 'hybrid' model utilizing the strengths of several existing methods. Future work should systematically evaluate the performance of hybrid models compared to other individual exposure assessment methods utilizing geospatial information technologies (e.g. geographic information systems (GIS) and remote sensing (RS)) to more robustly refine estimates of ambient exposure and quantify the linkages and differences between outdoor, indoor and personal exposure estimates.

  16. Temperature dependence of the multistability of lactose utilization network of Escherichia coli

    Science.gov (United States)

    Nepal, Sudip; Kumar, Pradeep

    Biological systems are capable of producing multiple states out of a single set of inputs. Multistability acts like a biological switch that allows organisms to respond differently to different environmental conditions and hence plays an important role in adaptation to changing environment. One of the widely studied gene regulatory networks underlying the metabolism of bacteria is the lactose utilization network, which exhibits a multistable behavior as a function of lactose concentration. We have studied the effect of temperature on multistability of the lactose utilization network at various concentrations of thio-methylgalactoside (TMG), a synthetic lactose. We find that while the lactose utilization network exhibits a bistable behavior for temperature T >20° C , a graded response arises for temperature T cellular regulation of metabolism.

  17. Utilizing Network QoS for Dependability of Adaptive Smart Grid Control

    DEFF Research Database (Denmark)

    Madsen, Jacob Theilgaard; Kristensen, Thomas le Fevre; Olsen, Rasmus Løvenstein

    2014-01-01

    A smart grid is a complex system consisting of a wide range of electric grid components, entities controlling power distribution, generation and consumption, and a communication network supporting data exchange. This paper focuses on the influence of imperfect network conditions on smart grid con......- trollers, and how this can be counteracted by utilizing Quality of Service (QoS) information from the communication network. Such an interface between grid controller and network QoS is particularly relevant for smart grid scenarios that use third party communication network infrastructure, where...... modification of networking and lower layer protocols are impossible. This paper defines a middleware solution for adaptation of smart grid control, which uses network QoS information and interacts with the smart grid controller to increase dependability. In order to verify the methodology, an example scenario...

  18. Utilizing HPC Network Technologies in High Energy Physics Experiments

    CERN Document Server

    AUTHOR|(CDS)2088631; The ATLAS collaboration

    2017-01-01

    Because of their performance characteristics high-performance fabrics like Infiniband or OmniPath are interesting technologies for many local area network applications, including data acquisition systems for high-energy physics experiments like the ATLAS experiment at CERN. This paper analyzes existing APIs for high-performance fabrics and evaluates their suitability for data acquisition systems in terms of performance and domain applicability. The study finds that existing software APIs for high-performance interconnects are focused on applications in high-performance computing with specific workloads and are not compatible with the requirements of data acquisition systems. To evaluate the use of high-performance interconnects in data acquisition systems a custom library, NetIO, is presented and compared against existing technologies. NetIO has a message queue-like interface which matches the ATLAS use case better than traditional HPC APIs like MPI. The architecture of NetIO is based on a interchangeable bac...

  19. Utilizing electromagnetic shielding textiles in wireless body area networks.

    Science.gov (United States)

    Sung, Grace H H; Aoyagi, Takahiro; Hernandez, Marco; Hamaguchi, Kiyoshi; Kohno, Ryuji

    2010-01-01

    For privacy and radio propagation controls, electromagnetic shielding textile could be adopted in WBANs. The effect of including a commercially available electromagnetic shielding apron in WBANs was examined in this paper. By having both the coordinator and the sensor covered by the shielding apron, signal could be confined around the body; however signal strength can be greatly influenced by body movements. Placing the shielding apron underneath both antennas, the transmission coefficient could be on average enhanced by at least 10dB, with less variation comparing to the case when apron does not exist. Shielding textiles could be utilized in designing a smart suit to enhance WBANs performance, and to prevent signals travelling beyond its intended area.

  20. Assessment of Global Wind Energy Resource Utilization Potential

    Science.gov (United States)

    Ma, M.; He, B.; Guan, Y.; Zhang, H.; Song, S.

    2017-09-01

    Development of wind energy resource (WER) is a key to deal with climate change and energy structure adjustment. A crucial issue is to obtain the distribution and variability of WER, and mine the suitable location to exploit it. In this paper, a multicriteria evaluation (MCE) model is constructed by integrating resource richness and stability, utilization value and trend of resource, natural environment with weights. The global resource richness is assessed through wind power density (WPD) and multi-level wind speed. The utilizable value of resource is assessed by the frequency of effective wind. The resource stability is assessed by the coefficient of variation of WPD and the frequency of prevailing wind direction. Regression slope of long time series WPD is used to assess the trend of WER. All of the resource evaluation indicators are derived from the atmospheric reanalysis data ERA-Interim with spatial resolution 0.125°. The natural environment factors mainly refer to slope and land-use suitability, which are derived from multi-resolution terrain elevation data 2010 (GMTED 2010) and GlobalCover2009. Besides, the global WER utilization potential map is produced, which shows most high potential regions are located in north of Africa. Additionally, by verifying that 22.22 % and 48.8 9% operational wind farms fall on medium-high and high potential regions respectively, the result can provide a basis for the macroscopic siting of wind farm.

  1. Electrolarynx Voice Recognition Utilizing Pulse Coupled Neural Network

    Directory of Open Access Journals (Sweden)

    Fatchul Arifin

    2010-08-01

    Full Text Available The laryngectomies patient has no ability to speak normally because their vocal chords have been removed. The easiest option for the patient to speak again is by using electrolarynx speech. This tool is placed on the lower chin. Vibration of the neck while speaking is used to produce sound. Meanwhile, the technology of "voice recognition" has been growing very rapidly. It is expected that the technology of "voice recognition" can also be used by laryngectomies patients who use electrolarynx.This paper describes a system for electrolarynx speech recognition. Two main parts of the system are feature extraction and pattern recognition. The Pulse Coupled Neural Network – PCNN is used to extract the feature and characteristic of electrolarynx speech. Varying of β (one of PCNN parameter also was conducted. Multi layer perceptron is used to recognize the sound patterns. There are two kinds of recognition conducted in this paper: speech recognition and speaker recognition. The speech recognition recognizes specific speech from every people. Meanwhile, speaker recognition recognizes specific speech from specific person. The system ran well. The "electrolarynx speech recognition" has been tested by recognizing of “A” and "not A" voice. The results showed that the system had 94.4% validation. Meanwhile, the electrolarynx speaker recognition has been tested by recognizing of “saya” voice from some different speakers. The results showed that the system had 92.2% validation. Meanwhile, the best β parameter of PCNN for electrolarynx recognition is 3.

  2. An inkjet-printed UWB antenna on paper substrate utilizing a novel fractal matching network

    KAUST Repository

    Cook, Benjamin Stassen

    2012-07-01

    In this work, the smallest reported inkjet-printed UWB antenna is proposed that utilizes a fractal matching network to increase the performance of a UWB microstrip monopole. The antenna is inkjet-printed on a paper substrate to demonstrate the ability to produce small and low-cost UWB antennas with inkjet-printing technology which can enable compact, low-cost, and environmentally friendly wireless sensor network. © 2012 IEEE.

  3. Gross domestic product estimation based on electricity utilization by artificial neural network

    Science.gov (United States)

    Stevanović, Mirjana; Vujičić, Slađana; Gajić, Aleksandar M.

    2018-01-01

    The main goal of the paper was to estimate gross domestic product (GDP) based on electricity estimation by artificial neural network (ANN). The electricity utilization was analyzed based on different sources like renewable, coal and nuclear sources. The ANN network was trained with two training algorithms namely extreme learning method and back-propagation algorithm in order to produce the best prediction results of the GDP. According to the results it can be concluded that the ANN model with extreme learning method could produce the acceptable prediction of the GDP based on the electricity utilization.

  4. Explicit Rate Adjustment (ERA: Responsiveness, Network Utilization Efficiency and Fairness for Layered Multicast

    Directory of Open Access Journals (Sweden)

    Somnuk PUANGPRONPITAG

    2005-08-01

    Full Text Available To provide layered multicast with responsiveness, efficiency in network utilization, scalability and fairness (including inter-protocol fairness, intra-protocol fairness, intra-session fairness and TCP-friendliness for layered multicast, we propose in this paper a new multicast congestion control, called Explicit Rate Adjustment (ERA. Our protocol uses an algorithm relying on TCP throughput equation and Packet-bunch Probe techniques to detect optimal bandwidth utilization; then adjusts the reception rate accordingly. We have built ERA into a network simulator (ns2 and demonstrate via simulations that the goals are reached.

  5. Life cycle assessment of rice straw utilization practices in India.

    Science.gov (United States)

    Soam, Shveta; Borjesson, Pal; Sharma, Pankaj K; Gupta, Ravi P; Tuli, Deepak K; Kumar, Ravindra

    2017-03-01

    The aim of this study is to find potential utilization practice of rice straw in India from an environmental perspective. Life cycle assessment (LCA) is conducted for four most realistic utilization practices of straw including: (1) incorporation into the field as fertilizer (2) animal fodder (3) electricity (4) biogas. The results show that processing of 1 ton straw to electricity and biogas resulted in net reduction of 1471 and 1023kg CO2 eq., 15.0 and 3.4kg SO2 eq. and 6.7 and 7.1kg C2H6 eq. emissions in global warming, acidification and photochemical oxidation creation potential respectively. Electricity production from straw replaces the coal based electricity and resulted in benefits in most of the environmental impacts whereas use as an animal fodder resulted in eutrophication benefits. The burning of straw is a harmful practice of managing straw in India which can be avoided by utilizing straw for bioenergy. Copyright © 2016 Elsevier Ltd. All rights reserved.

  6. Utilizing social networking sites to promote adolescents' health: a pragmatic review of the literature.

    Science.gov (United States)

    Francomano, Jesse A; Harpin, Scott B

    2015-01-01

    Social networking site use has exploded among youth in the last few years and is being adapted as an important tool for healthcare interventions and serving as a platform for adolescents to gain access to health information. The aim of this study was to examine the strengths, weaknesses, and best practices of utilizing Facebook in adolescent health promotion and research via pragmatic literature review. We also examine how sites can facilitate ethically sound healthcare for adolescents, particularly at-risk youth. We conducted a literature review of health and social sciences literature from the past 5 years related to adolescent health and social network site use. Publications were grouped by shared content then categorized by themes. Five themes emerged: access to healthcare information, peer support and networking, risk and benefits of social network site use in care delivery, overcoming technological barriers, and social network site interventions. More research is needed to better understand how such Web sites can be better utilized to provide access to adolescents seeking healthcare. Given the broad reach of social network sites, all health information must be closely monitored for accurate, safe distribution. Finally, consent and privacy issues are omnipresent in social network sites, which calls for standards of ethical use.

  7. Analysis of utility-theoretic heuristics for intelligent adaptive network routing

    Energy Technology Data Exchange (ETDEWEB)

    Mikler, A.R.; Honavar, V.; Wong, J.S.K. [Iowa State Univ., Ames, IA (United States)

    1996-12-31

    Utility theory offers an elegant and powerful theoretical framework for design and analysis of autonomous adaptive communication networks. Routing of messages in such networks presents a real-time instance of a multi-criterion optimization problem in a dynamic and uncertain environment. In this paper, we incrementally develop a set of heuristic decision functions that can be used to guide messages along a near-optimal (e.g., minimum delay) path in a large network. We present an analysis of properties of such heuristics under a set of simplifying assumptions about the network topology and load dynamics and identify the conditions under which they are guaranteed to route messages along an optimal path. The paper concludes with a discussion of the relevance of the theoretical results presented in the paper to the design of intelligent autonomous adaptive communication networks and an outline of some directions of future research.

  8. Utilizing social networks, blogging and YouTube in allergy and immunology practices.

    Science.gov (United States)

    Dimov, Ves; Eidelman, Frank

    2015-01-01

    Online social networks are used to connect with friends and family members, and increasingly, to stay up-to-date with the latest news and developments in allergy and immunology. As communication is a central part of healthcare delivery, the utilization of such networking channels in allergy and immunology will continue to grow. There are inherent risks to online social networks related to breaches of patient confidentiality, professionalism and privacy. Malpractice and liability risks should also be considered. There is a paucity of information in the literature on how social network interventions affect patient outcomes. The allergy and immunology community should direct future studies towards investigating how the use of social networks and other technology tools and services can improve patient care.

  9. Communication, knowledge, social network and family planning utilization among couples in Mwanza, Tanzania

    NARCIS (Netherlands)

    Mosha, I.H.; Ruben, R.

    2013-01-01

    Family planning utilization in Tanzania is low. This study was cross sectional. It examined family planning use and socio demographic variables, social networks, knowledge and communication among the couples, whereby a stratified sample of 440 women of reproductive age (18-49), married or cohabiting

  10. Coordination of glucose and glutamine utilization by an expanded Myc network

    OpenAIRE

    Kaadige, Mohan R; Elgort, Marc G; Ayer, Donald E

    2010-01-01

    Glucose and glutamine are the most abundant circulating nutrients and support the growth and proliferation of all cells, in particular rapidly growing and dividing cancer cells. Several recent studies implicate an expanded Myc network in how cells sense and utilize both glucose and glutamine. These studies reveal an unappreciated coordination between glycolysis and glutaminolysis, potentially providing new targets for therapeutic intervention in cancer.

  11. A relative rate utility based distributed power allocation algorithm for Cognitive Radio Networks

    DEFF Research Database (Denmark)

    Mahmood, Nurul Huda; Øien, G.E.; Lundheim, L.

    2012-01-01

    In an underlay Cognitive Radio Network, multiple secondary users coexist geographically and spectrally with multiple primary users under a constraint on the maximum received interference power at the primary receivers. Given such a setting, one may ask "how to achieve maximum utility benefit...

  12. Social network utilization and the impact of academic research in marketing

    NARCIS (Netherlands)

    Rosenzweig, Stav; Grinstein, A.; Ofek, Elie

    2016-01-01

    The forces that drive the impact of academic research articles in the marketing discipline are of great interests to authors, editors, and the discipline's policy makers. A key understudied driver is social network utilization by academic researchers. In this paper, we examine how activating one's

  13. Allocating service parts in two-echelon networks at a utility company

    NARCIS (Netherlands)

    van den Berg, D.; van der Heijden, Matthijs C.; Schuur, Peter

    2016-01-01

    We study a multi-item, two-echelon, continuous-review inventory problem at a Dutch utility company. We develop a model for the optimal allocation of service parts in a two-echelon network under an aggregate waiting time constraint. Specific model aspects are emergency shipments in case of stockout,

  14. Net benefits: assessing the effectiveness of clinical networks in Australia through qualitative methods

    Science.gov (United States)

    2012-01-01

    Background In the 21st century, government and industry are supplementing hierarchical, bureaucratic forms of organization with network forms, compatible with principles of devolved governance and decentralization of services. Clinical networks are employed as a key health policy approach to engage clinicians in improving patient care in Australia. With significant investment in such networks in Australia and internationally, it is important to assess their effectiveness and sustainability as implementation mechanisms. Methods In two purposively selected, musculoskeletal clinical networks, members and stakeholders were interviewed to ascertain their perceptions regarding key factors relating to network effectiveness and sustainability. We adopted a three-level approach to evaluating network effectiveness: at the community, network, and member levels, across the network lifecycle. Results Both networks studied are advisory networks displaying characteristics of the ‘enclave’ type of non-hierarchical network. They are hybrids of the mandated and natural network forms. In the short term, at member level, both networks were striving to create connectivity and collaboration of members. Over the short to medium term, at network level, both networks applied multi-disciplinary engagement in successfully developing models of care as key outputs, and disseminating information to stakeholders. In the long term, at both community and network levels, stakeholders would measure effectiveness by the broader statewide influence of the network in changing and improving practice. At community level, in the long term, stakeholders acknowledged both networks had raised the profile, and provided a ‘voice’ for musculoskeletal conditions, evidencing some progress with implementation of the network mission while pursuing additional implementation strategies. Conclusions This research sheds light on stakeholders’ perceptions of assessing clinical network effectiveness at

  15. Net benefits: assessing the effectiveness of clinical networks in Australia through qualitative methods

    Directory of Open Access Journals (Sweden)

    Cunningham Frances C

    2012-11-01

    Full Text Available Abstract Background In the 21st century, government and industry are supplementing hierarchical, bureaucratic forms of organization with network forms, compatible with principles of devolved governance and decentralization of services. Clinical networks are employed as a key health policy approach to engage clinicians in improving patient care in Australia. With significant investment in such networks in Australia and internationally, it is important to assess their effectiveness and sustainability as implementation mechanisms. Methods In two purposively selected, musculoskeletal clinical networks, members and stakeholders were interviewed to ascertain their perceptions regarding key factors relating to network effectiveness and sustainability. We adopted a three-level approach to evaluating network effectiveness: at the community, network, and member levels, across the network lifecycle. Results Both networks studied are advisory networks displaying characteristics of the ‘enclave’ type of non-hierarchical network. They are hybrids of the mandated and natural network forms. In the short term, at member level, both networks were striving to create connectivity and collaboration of members. Over the short to medium term, at network level, both networks applied multi-disciplinary engagement in successfully developing models of care as key outputs, and disseminating information to stakeholders. In the long term, at both community and network levels, stakeholders would measure effectiveness by the broader statewide influence of the network in changing and improving practice. At community level, in the long term, stakeholders acknowledged both networks had raised the profile, and provided a ‘voice’ for musculoskeletal conditions, evidencing some progress with implementation of the network mission while pursuing additional implementation strategies. Conclusions This research sheds light on stakeholders’ perceptions of assessing clinical

  16. Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses.

    Science.gov (United States)

    Stephen, Emily P; Lepage, Kyle Q; Eden, Uri T; Brunner, Peter; Schalk, Gerwin; Brumberg, Jonathan S; Guenther, Frank H; Kramer, Mark A

    2014-01-01

    The brain is a complex network of interconnected elements, whose interactions evolve dynamically in time to cooperatively perform specific functions. A common technique to probe these interactions involves multi-sensor recordings of brain activity during a repeated task. Many techniques exist to characterize the resulting task-related activity, including establishing functional networks, which represent the statistical associations between brain areas. Although functional network inference is commonly employed to analyze neural time series data, techniques to assess the uncertainty-both in the functional network edges and the corresponding aggregate measures of network topology-are lacking. To address this, we describe a statistically principled approach for computing uncertainty in functional networks and aggregate network measures in task-related data. The approach is based on a resampling procedure that utilizes the trial structure common in experimental recordings. We show in simulations that this approach successfully identifies functional networks and associated measures of confidence emergent during a task in a variety of scenarios, including dynamically evolving networks. In addition, we describe a principled technique for establishing functional networks based on predetermined regions of interest using canonical correlation. Doing so provides additional robustness to the functional network inference. Finally, we illustrate the use of these methods on example invasive brain voltage recordings collected during an overt speech task. The general strategy described here-appropriate for static and dynamic network inference and different statistical measures of coupling-permits the evaluation of confidence in network measures in a variety of settings common to neuroscience.

  17. Assessment of advanced coal utilization technologies for India

    Energy Technology Data Exchange (ETDEWEB)

    Mathur, A.; Chawla, S. (Tata Energy Research Institute, New Delhi (India))

    1993-01-01

    Large reserves of high-ash non-coking coal constitute India's major energy resource. These reserves are expected to continue to be the mainstay of the country's energy economy until renewable sources of energy become techno-economically viable. It is imperative that a strategy for the continued upgrading of coal utilization technologies is adopted so as to minimize energy cost and environmental damage. In this prospective, three advanced coal utilization technologies for electricity generation are assessed with respect to their appropriateness for use with Indian coal, overall efficiency, and cost of electricity generation. The three technologies - pressurized fluidized-bed combined cycle (PFBCC) system: integrated gasifier combined cycle (IGCC) system, and integrated gasifier-molten carbonate fuel cell (IG-MCFC) system - currently exist at different levels of technological and commercial development, and consequently there are varying levels of uncertainty associated with the efficiency and cost parameters of each of these technologies. A probabilistic electricity cost methodology has, therefore, been followed in this paper which estimates both the expected cost of electricity generation, as well as its uncertainty. All the advanced technologies are expected to generate power at costs less than conventional technology. In the short term, a shift to IGCC systems is recommended; in the medium term to PFBC systems; and in the long term to IG-MCFC systems if their expected cost and uncertainty decrease. 4 refs., 3 figs., 5 tabs.

  18. Risk and reliability assessment for telecommunications networks

    Energy Technology Data Exchange (ETDEWEB)

    Wyss, G.D.; Schriner, H.K.; Gaylor, T.R.

    1996-08-01

    Sandia National Laboratories has assembled an interdisciplinary team to explore the applicability of probabilistic logic modeling (PLM) techniques to model network reliability for a wide variety of communications network architectures. The authors have found that the reliability and failure modes of current generation network technologies can be effectively modeled using fault tree PLM techniques. They have developed a ``plug-and-play`` fault tree analysis methodology that can be used to model connectivity and the provision of network services in a wide variety of current generation network architectures. They have also developed an efficient search algorithm that can be used to determine the minimal cut sets of an arbitrarily-interconnected (non-hierarchical) network without the construction of a fault tree model. This paper provides an overview of these modeling techniques and describes how they are applied to networks that exhibit hybrid network structures (i.e., a network in which some areas are hierarchical and some areas are not hierarchical).

  19. Social media networking in pediatric hydrocephalus: a point-prevalence analysis of utilization.

    Science.gov (United States)

    Elkarim, Ghassan Awad; Alotaibi, Naif M; Samuel, Nardin; Wang, Shelly; Ibrahim, George M; Fallah, Aria; Weil, Alexander G; Kulkarni, Abhaya V

    2017-08-01

    OBJECTIVE A recent survey has shown that caregivers of children with shunt-treated hydrocephalus frequently use social media networks for support and information gathering. The objective of this study is to describe and assess social media utilization among users interested in hydrocephalus. METHODS Publicly accessible accounts and videos dedicated to the topic of hydrocephalus were comprehensively searched across 3 social media platforms (Facebook, Twitter, and YouTube) throughout March 2016. Summary statistics were calculated on standard metrics of social media popularity. A categorization framework to describe the purpose of pages, groups, accounts, channels, and videos was developed following the screening of 100 titles. Categorized data were analyzed using nonparametric tests for statistical significance. RESULTS The authors' search identified 30 Facebook pages, 213 Facebook groups, 17 Twitter accounts, and 253 YouTube videos. These platforms were run by patients, caregivers, nonprofit foundations, and patient support groups. Most accounts were from the United States (n = 196), followed by the United Kingdom (n = 31), Canada (n = 17), India (n = 15), and Germany (n = 12). The earliest accounts were created in 2007, and a peak of 65 new accounts were created in 2011. The total number of users in Facebook pages exceeded those in Facebook groups (p media use in the topic of hydrocephalus. Users interested in hydrocephalus seek privacy for support communications and are attracted to treatment procedure and surgical products videos. These findings provide insight into potential avenues of hydrocephalus outreach, support, or advocacy in social media.

  20. Integrated manure utilization system life-cycle value assessment

    Energy Technology Data Exchange (ETDEWEB)

    Row, J.; Neabel, D. [Pembina Inst. for Appropriate Development, Drayton Valley, AB (Canada)

    2005-10-15

    A life-cycle assessment of the Alberta Research Council (ARC) and Highmark Renewables' development of an integrated manure utilization system (IMUS) were presented. The assessment focused on an evaluation of factors of primary importance to government, investors and the livestock industry. IMUS technology uses manure as a resource to produce electricity, heat, bio-based fertilizer and reusable water. Results of the assessment indicated that IMUS plants have the potential to be financially viable if a power purchase of $90 MWh on average can be purchased from a 30,000 head livestock operation. A capital cost of under $11 million is necessary, and an established biofertilizer price of $50 per tonne should be established. An IMUS plant was estimated to reduce life-cycle greenhouse gas emissions by 70 to 80 per cent when compared to land spreading. Reductions are accomplished through displacing electricity from the provincial grid and reducing nitrous oxide (N{sub 2}O) emissions from spreading of manure The IMUS plants lessen environment impacts by reducing the extraction and consumption of non-renewable resources, and by displacing an estimated 11,700 GJ of coal and natural gas per 1000 head of cattle per year. In addition, various pathogens within manure are eliminated. The plants have the potential to eliminate the environmental hazards associated with the disposal of deadstock. The systems reduce manure odour, lessen truck traffic and are expected to contribute to rural economic diversification. Barriers to further implementation of IMUS were discussed, as well as emerging opportunities for IMUS developers. It was concluded that the initial assessments of the IMUS were positive. Further investigation is needed to determine actual life-cycle performance of the operations. 18 refs., 3 tabs., 3 figs.

  1. In-House Communication Support System Based on the Information Propagation Model Utilizes Social Network

    Science.gov (United States)

    Takeuchi, Susumu; Teranishi, Yuuichi; Harumoto, Kaname; Shimojo, Shinji

    Almost all companies are now utilizing computer networks to support speedier and more effective in-house information-sharing and communication. However, existing systems are designed to support communications only within the same department. Therefore, in our research, we propose an in-house communication support system which is based on the “Information Propagation Model (IPM).” The IPM is proposed to realize word-of-mouth communication in a social network, and to support information-sharing on the network. By applying the system in a real company, we found that information could be exchanged between different and unrelated departments, and such exchanges of information could help to build new relationships between the users who are apart on the social network.

  2. Mapping health assessment questionnaire disability index (HAQ-DI) score, pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) onto the EuroQol-5D (EQ-5D) utility score with the KORean Observational study Network for Arthritis (KORONA) registry data.

    Science.gov (United States)

    Kim, Hye-Lin; Kim, Dam; Jang, Eun Jin; Lee, Min-Young; Song, Hyun Jin; Park, Sun-Young; Cho, Soo-Kyung; Sung, Yoon-Kyoung; Choi, Chan-Bum; Won, Soyoung; Bang, So-Young; Cha, Hoon-Suk; Choe, Jung-Yoon; Chung, Won Tae; Hong, Seung-Jae; Jun, Jae-Bum; Kim, Jinseok; Kim, Seong-Kyu; Kim, Tae-Hwan; Kim, Tae-Jong; Koh, Eunmi; Lee, Hwajeong; Lee, Hye-Soon; Lee, Jisoo; Lee, Shin-Seok; Lee, Sung Won; Park, Sung-Hoon; Shim, Seung-Cheol; Yoo, Dae-Hyun; Yoon, Bo Young; Bae, Sang-Cheol; Lee, Eui-Kyung

    2016-04-01

    The aim of this study was to estimate the mapping model for EuroQol-5D (EQ-5D) utility values using the health assessment questionnaire disability index (HAQ-DI), pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) in a large, nationwide cohort of rheumatoid arthritis (RA) patients in Korea. The KORean Observational study Network for Arthritis (KORONA) registry data on 3557 patients with RA were used. Data were randomly divided into a modeling set (80 % of the data) and a validation set (20 % of the data). The ordinary least squares (OLS), Tobit, and two-part model methods were employed to construct a model to map to the EQ-5D index. Using a combination of HAQ-DI, pain VAS, and DAS28, four model versions were examined. To evaluate the predictive accuracy of the models, the root-mean-square error (RMSE) and mean absolute error (MAE) were calculated using the validation dataset. A model that included HAQ-DI, pain VAS, and DAS28 produced the highest adjusted R (2) as well as the lowest Akaike information criterion, RMSE, and MAE, regardless of the statistical methods used in modeling set. The mapping equation of the OLS method is given as EQ-5D = 0.95-0.21 × HAQ-DI-0.24 × pain VAS/100-0.01 × DAS28 (adjusted R (2) = 57.6 %, RMSE = 0.1654 and MAE = 0.1222). Also in the validation set, the RMSE and MAE were shown to be the smallest. The model with HAQ-DI, pain VAS, and DAS28 showed the best performance, and this mapping model enabled the estimation of an EQ-5D value for RA patients in whom utility values have not been measured.

  3. Aging influence on grey matter structural associations within the default mode network utilizing Bayesian network modeling

    Directory of Open Access Journals (Sweden)

    Yan eWang

    2014-05-01

    Full Text Available Recent neuroimaging studies have revealed normal aging-related alterations in functional and structural brain networks such as the default mode network (DMN. However, less is understood about specific brain structural dependencies or interactions between brain regions within the DMN in the normal aging process. In this study, using Bayesian network (BN modeling, we analyzed grey matter volume data from 109 young and 82 old subjects to characterize the influence of aging on associations between core brain regions within the DMN. Furthermore, we investigated the discriminability of the aging-associated BN models for the young and old groups. Compared to their young counterparts, the old subjects showed significant reductions in connections from right inferior temporal cortex (ITC to medial prefrontal cortex (mPFC, right hippocampus (HP to right ITC, and mPFC to posterior cingulate cortex (PCC and increases in connections from left HP to mPFC and right inferior parietal cortex (IPC to right ITC. Moreover, the classification results showed that the aging-related BN models could predict group membership with 88.48% accuracy, 88.07% sensitivity and 89.02% specificity. Our findings suggest that structural associations within the DMN may be affected by normal aging and provide crucial information about aging effects on brain structural networks.

  4. Assessment on thermoelectric power factor in silicon nanowire networks

    Energy Technology Data Exchange (ETDEWEB)

    Lohn, Andrew J.; Kobayashi, Nobuhiko P. [Baskin School of Engineering, University of California Santa Cruz, CA (United States); Nanostructured Energy Conversion Technology and Research (NECTAR), Advanced Studies Laboratories, University of California Santa Cruz, NASA Ames Research Center, Moffett Field, CA (United States); Coleman, Elane; Tompa, Gary S. [Structured Materials Industries, Inc., Piscataway, NJ (United States)

    2012-01-15

    Thermoelectric devices based on three-dimensional networks of highly interconnected silicon nanowires were fabricated and the parameters that contribute to the power factor, namely the Seebeck coefficient and electrical conductivity were assessed. The large area (2 cm x 2 cm) devices were fabricated at low cost utilizing a highly scalable process involving silicon nanowires grown on steel substrates. Temperature dependence of the Seebeck coefficient was found to be weak over the range of 20-80 C at approximately -400 {mu}V/K for unintentionally doped devices and {+-}50 {mu}V/K for p-type and n-type devices, respectively. (Copyright copyright 2012 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim)

  5. Lunar Surface Architecture Utilization and Logistics Support Assessment

    Science.gov (United States)

    Bienhoff, Dallas; Findiesen, William; Bayer, Martin; Born, Andrew; McCormick, David

    2008-01-01

    Crew and equipment utilization and logistics support needs for the point of departure lunar outpost as presented by the NASA Lunar Architecture Team (LAT) and alternative surface architectures were assessed for the first ten years of operation. The lunar surface architectures were evaluated and manifests created for each mission. Distances between Lunar Surface Access Module (LSAM) landing sites and emplacement locations were estimated. Physical characteristics were assigned to each surface element and operational characteristics were assigned to each surface mobility element. Stochastic analysis was conducted to assess probable times to deploy surface elements, conduct exploration excursions, and perform defined crew activities. Crew time is divided into Outpost-related, exploration and science, overhead, and personal activities. Outpost-related time includes element deployment, EVA maintenance, IVA maintenance, and logistics resupply. Exploration and science activities include mapping, geological surveys, science experiment deployment, sample analysis and categorizing, and physiological and biological tests in the lunar environment. Personal activities include sleeping, eating, hygiene, exercising, and time off. Overhead activities include precursor or close-out tasks that must be accomplished but don't fit into the other three categories such as: suit donning and doffing, airlock cycle time, suit cleaning, suit maintenance, post-landing safing actions, and pre-departure preparations. Equipment usage time, spares, maintenance actions, and Outpost consumables are also estimated to provide input into logistics support planning. Results are normalized relative to the NASA LAT point of departure lunar surface architecture.

  6. Supporting analysis and assessments quality metrics: Utility market sector

    Energy Technology Data Exchange (ETDEWEB)

    Ohi, J. [National Renewable Energy Lab., Golden, CO (United States)

    1996-10-01

    In FY96, NREL was asked to coordinate all analysis tasks so that in FY97 these tasks will be part of an integrated analysis agenda that will begin to define a 5-15 year R&D roadmap and portfolio for the DOE Hydrogen Program. The purpose of the Supporting Analysis and Assessments task at NREL is to provide this coordination and conduct specific analysis tasks. One of these tasks is to prepare the Quality Metrics (QM) for the Program as part of the overall QM effort at DOE/EERE. The Hydrogen Program one of 39 program planning units conducting QM, a process begun in FY94 to assess benefits/costs of DOE/EERE programs. The purpose of QM is to inform decisionmaking during budget formulation process by describing the expected outcomes of programs during the budget request process. QM is expected to establish first step toward merit-based budget formulation and allow DOE/EERE to get {open_quotes}most bang for its (R&D) buck.{close_quotes} In FY96. NREL coordinated a QM team that prepared a preliminary QM for the utility market sector. In the electricity supply sector, the QM analysis shows hydrogen fuel cells capturing 5% (or 22 GW) of the total market of 390 GW of new capacity additions through 2020. Hydrogen consumption in the utility sector increases from 0.009 Quads in 2005 to 0.4 Quads in 2020. Hydrogen fuel cells are projected to displace over 0.6 Quads of primary energy in 2020. In future work, NREL will assess the market for decentralized, on-site generation, develop cost credits for distributed generation benefits (such as deferral of transmission and distribution investments, uninterruptible power service), cost credits for by-products such as heat and potable water, cost credits for environmental benefits (reduction of criteria air pollutants and greenhouse gas emissions), compete different fuel cell technologies against each other for market share, and begin to address economic benefits, especially employment.

  7. Network Centric Warfare Implementation and Assessment

    National Research Council Canada - National Science Library

    Braunlinger, Thomas K

    2005-01-01

    ...) Are the military services implementing the network-centric warfare concept?, and (3) Is the network-centric warfare concept a new theory of warfare or rather a modification or extension of previous theories...

  8. A P2P Query Algorithm for Opportunistic Networks Utilizing betweenness Centrality Forwarding

    Directory of Open Access Journals (Sweden)

    Jianwei Niu

    2013-01-01

    Full Text Available With the proliferation of high-end mobile devices that feature wireless interfaces, many promising applications are enabled in opportunistic networks. In contrary to traditional networks, opportunistic networks utilize the mobility of nodes to relay messages in a store-carry-forward paradigm. Thus, the relay process in opportunistic networks faces several practical challenges in terms of delay and delivery rate. In this paper, we propose a novel P2P Query algorithm, namely Betweenness Centrality Forwarding (PQBCF, for opportunistic networking. PQBCF adopts a forwarding metric called Betweenness Centrality (BC, which is borrowed from social network, to quantify the active degree of nodes in the networks. In PQBCF, nodes with a higher BC are preferable to serve as relays, leading to higher query success rate and lower query delay. A comparison with the state-of-the-art algorithms reveals that PQBCF can provide better performance on both the query success Ratio and query delay, and approaches the performance of Epidemic Routing (ER with much less resource consumption.

  9. The moderating role of social networks in the relationship between alcohol consumption and treatment utilization for alcohol-related problems

    Science.gov (United States)

    Mowbray, Orion

    2014-01-01

    Many individuals wait until alcohol use becomes severe before treatment is sought. However, social networks, or the number of social groups an individual belongs to, may play a moderating role in this relationship. Logistic regression examined the interaction of alcohol consumption and social networks as a predictor of treatment utilization while adjusting for sociodemographic and clinical variables among 1,433 lifetime alcohol-dependent respondents from wave 2 of the National Epidemiologic Survey on Alcohol Related Conditions (NESARC). Results showed that social networks moderate the relationship between alcohol consumption and treatment utilization such that for individuals with few network ties, the relationship between alcohol consumption and treatment utilization was diminished, compared to the relationship between alcohol consumption and treatment utilization for individuals with many network ties. Findings offer insight into how social networks, at times, can influence individuals to pursue treatment, while at other times, influence individuals to stay out of treatment, or seek treatment substitutes. PMID:24462223

  10. The effect of the Ontario Bariatric Network on health services utilization after bariatric surgery: a retrospective cohort study.

    Science.gov (United States)

    Elnahas, Ahmad; Jackson, Timothy D; Okrainec, Allan; Austin, Peter C; Bell, Chaim M; Urbach, David R

    2016-01-01

    In 2009, the Ontario Bariatric Network was established to address the exploding demand by Ontario residents for bariatric surgery services outside Canada. We compared the use of postoperative hospital services between out-of-country surgery recipients and patients within the Ontario Bariatric Network. We conducted a population-based, comparative study using administrative data held at the Institute for Clinical Evaluative Sciences. We included Ontario residents who underwent bariatric surgery between 2007 and 2012 either outside the country or at one of the Ontario Bariatric Network's designated centres of excellence. The primary outcome was use of hospital services in Ontario within 1 year after surgery. A total of 4852 patients received bariatric surgery out of country, and 5179 patients underwent surgery through the Ontario Bariatric Network. After adjustment, surgery at a network centre was associated with a significantly lower utilization rate of postoperative hospital services than surgery out of country (rate ratio 0.90, 95% confidence interval [CI] 0.84 to 0.97). No statistically significant differences were found with respect to time in critical care or mortality. However, the physician assessment and reoperation rates were significantly higher among patients who received surgery at a network centre than among those who had bariatric surgery out of country (rate ratio 4.10, 95% CI 3.69 to 4.56, and rate ratio 1.84, 95% CI 1.34 to 2.53, respectively). The implementation of a comprehensive, multidisciplinary provincial program to replace outsourcing of bariatric surgical services was associated with less use of postoperative hospital services by Ontario residents undergoing bariatric surgery. Future research should include an economic evaluation to determine the costs and benefits of the Ontario Bariatric Network.

  11. Optimization of a waste heat utilization network in an eco-industrial park

    Energy Technology Data Exchange (ETDEWEB)

    Chae, Song Hwa; Kim, Sang Hun; Yoon, Sung-Geun; Park, Sunwon [Department of Chemical and Bio-molecular Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701 (Korea)

    2010-06-15

    Development of an eco-industrial park (EIP) has drawn attention as a promising approach seeking for the mutual benefit to the economy and environment. In recent years, the reduction of energy consumption has become a global necessity due to the high oil price and environmental regulations. In order to find energy strategies in an EIP, a framework to investigate waste heat of an industrial complex was proposed. A mathematical model was developed to synthesize a waste heat utilization network, including nearby companies and communities. A case study of an existing petro-chemical complex in Yeosu, South Korea showed that the total energy cost and the amount of waste heat of the region can be reduced by more than 88% and 82% from the present values, respectively, applying the suggested waste heat utilization networks. (author)

  12. Assessing Pinyon Juniper Feedstock Properties and Utilization Options

    Energy Technology Data Exchange (ETDEWEB)

    Gresham, Garold Linn [Idaho National Lab. (INL), Idaho Falls, ID (United States); Kenney, Kevin Louis [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-08-01

    Pinyon-juniper woodlands are a major ecosystem type found in the Southwest and the Intermountain West regions of the United States. These ecosystems are characterized by the presence of several different species of pinyon pine and juniper as the dominant plant cover. Since the 1800s, pinyon-juniper woodlands have rapidly expanded their range at the expense of existing ecosystems. Additionally, existing woodlands have become more dense, potentially increasing fire hazards. Land managers responsible for these areas often desire to reduce pinyonjuniper coverage on their lands for a variety of reasons, including restoration to previous vegetative cover, mitigation of fire risk, and improvement in wildlife habitat. However, the cost of clearing or thinning pinyon-juniper stands can be prohibitive. One reason for this is the lack of utilization options for the resulting biomass that could help recover some of the cost of pinyonjuniper stand management. The goal of this project was to assess the feedstock characteristics of biomass from a pinyon-juniper harvest so that potential applications for the biomass may be evaluated.

  13. Utilizing neural networks in magnetic media modeling and field computation: A review

    OpenAIRE

    Amr A. Adly; Abd-El-Hafiz, Salwa K.

    2013-01-01

    Magnetic materials are considered as crucial components for a wide range of products and devices. Usually, complexity of such materials is defined by their permeability classification and coupling extent to non-magnetic properties. Hence, development of models that could accurately simulate the complex nature of these materials becomes crucial to the multi-dimensional field-media interactions and computations. In the past few decades, artificial neural networks (ANNs) have been utilized in ma...

  14. Social networks, information and health care utilization: evidence from undocumented immigrants in Milan.

    Science.gov (United States)

    Devillanova, Carlo

    2008-03-01

    This paper uses a novel dataset and research design to examine the effects of information networks on immigrants' access to health care. The dataset consists of an unusually large sample of undocumented immigrants and contains a direct indicator of information networks-whether an immigrant was referred to health care opportunities by a strong social tie (relative or friend). This measure allows to overcome some of the major identification issues that afflict most of the existing literature on network effects and to concentrate on one of the channels through which social contacts might operate. The analysis focuses on the time spent in Italy before an immigrant first receives medical assistance. Estimates indicate that networks significantly foster health care utilization: after controlling for all available individual characteristics and for ethnic heterogeneity, I find that relying on a strong social tie reduces the time to visit by 30%. The effect of information networks is stable across specifications and it is relatively large. Further investigation seems to confirm the quantitative importance of networks as an information device.

  15. Artificial neural networks for static security assessment

    Energy Technology Data Exchange (ETDEWEB)

    Niebur, D.; Fischl, R.

    1997-12-31

    A reliable, continuous supply of electric energy is essential for the functioning of today`s complex societies. Due to a combination of increasing energy consumption and impediments of various kinds to the extension of existing electric transmission networks, these power systems are operated closer and closer to their limits. This situation requires a significantly less conservative power system operation and control regime which, in turn, is possible only by monitoring the system state in much more detail than was necessary previously. Fortunately, the large quantity of information required can be provided in many cases through recent advances in telecommunications and computing techniques. There is, however, a lack of evaluation techniques required to extract the salient information and to use it for higher-order processing. Whilst the sheer quantity of available information is always a problem, this situation is aggravated in emergency situations when rapid decisions are required. Furthermore, the behaviour of power systems is highly non-linear. Monitoring and control involves several hundred variables which are only partly available by measurements. Load demands and dynamic loads are difficult to model. Therefore models appropriate for normal situations might become invalid in emergency situations. These problems provide important motivation to explore novel data processing and programming techniques from the vast pool of artificial intelligence techniques. The following section gives a short introduction to static security assessment. (Author)

  16. Assessing the Determinants of Cloud Computing Services for Utilizing Health Information Systems: A Case Study

    National Research Council Canada - National Science Library

    Ahmed Meri Kadhum; Mohamad Khatim Hasan

    2017-01-01

    .... Utilizing cloud services in the healthcare sector is a flexible solution to improve the performance of an organization as it can provide numerous features such as self-service, ubiquitous network...

  17. Algorithmic network monitoring for a modern water utility: a case study in Jerusalem.

    Science.gov (United States)

    Armon, A; Gutner, S; Rosenberg, A; Scolnicov, H

    2011-01-01

    We report on the design, deployment, and use of TaKaDu, a real-time algorithmic Water Infrastructure Monitoring solution, with a strong focus on water loss reduction and control. TaKaDu is provided as a commercial service to several customers worldwide. It has been in use at HaGihon, the Jerusalem utility, since mid 2009. Water utilities collect considerable real-time data from their networks, e.g. by means of a SCADA system and sensors measuring flow, pressure, and other data. We discuss how an algorithmic statistical solution analyses this wealth of raw data, flexibly using many types of input and picking out and reporting significant events and failures in the network. Of particular interest to most water utilities is the early detection capability for invisible leaks, also a means for preventing large visible bursts. The system also detects sensor and SCADA failures, various water quality issues, DMA boundary breaches, unrecorded or unintended network changes (like a valve or pump state change), and other events, including types unforeseen during system design. We discuss results from use at HaGihon, showing clear operational value.

  18. A novel utility function for energy-efficient power control game in cognitive radio networks.

    Science.gov (United States)

    Al-Gumaei, Yousef Ali; Noordin, Kamarul Ariffin; Reza, Ahmed Wasif; Dimyati, Kaharudin

    2015-01-01

    Spectrum scarcity is a major challenge in wireless communications systems requiring efficient usage and utilization. Cognitive radio network (CRN) is found as a promising technique to solve this problem of spectrum scarcity. It allows licensed and unlicensed users to share the same licensed spectrum band. Interference resulting from cognitive radios (CRs) has undesirable effects on quality of service (QoS) of both licensed and unlicensed systems where it causes degradation in received signal-to-noise ratio (SIR) of users. Power control is one of the most important techniques that can be used to mitigate interference and guarantee QoS in both systems. In this paper, we develop a new approach of a distributed power control for CRN based on utility and pricing. QoS of CR user is presented as a utility function via pricing and a distributed power control as a non-cooperative game in which users maximize their net utility (utility-price). We define the price as a real function of transmit power to increase pricing charge of the farthest CR users. We prove that the power control game proposed in this study has Nash Equilibrium as well as it is unique. The obtained results show that the proposed power control algorithm based on a new utility function has a significant reduction in transmit power consumption and high improvement in speed of convergence.

  19. Assessment of Data Reliability of Wireless Sensor Network for Bioinformatics

    Directory of Open Access Journals (Sweden)

    Ting Dong

    2017-09-01

    Full Text Available As a focal point of biotechnology, bioinformatics integrates knowledge from biology, mathematics, physics, chemistry, computer science and information science. It generally deals with genome informatics, protein structure and drug design. However, the data or information thus acquired from the main areas of bioinformatics may not be effective. Some researchers combined bioinformatics with wireless sensor network (WSN into biosensor and other tools, and applied them to such areas as fermentation, environmental monitoring, food engineering, clinical medicine and military. In the combination, the WSN is used to collect data and information. The reliability of the WSN in bioinformatics is the prerequisite to effective utilization of information. It is greatly influenced by factors like quality, benefits, service, timeliness and stability, some of them are qualitative and some are quantitative. Hence, it is necessary to develop a method that can handle both qualitative and quantitative assessment of information. A viable option is the fuzzy linguistic method, especially 2-tuple linguistic model, which has been extensively used to cope with such issues. As a result, this paper introduces 2-tuple linguistic representation to assist experts in giving their opinions on different WSNs in bioinformatics that involve multiple factors. Moreover, the author proposes a novel way to determine attribute weights and uses the method to weigh the relative importance of different influencing factors which can be considered as attributes in the assessment of the WSN in bioinformatics. Finally, an illustrative example is given to provide a reasonable solution for the assessment.

  20. Research on the Prediction Model of CPU Utilization Based on ARIMA-BP Neural Network

    Directory of Open Access Journals (Sweden)

    Wang Jina

    2016-01-01

    Full Text Available The dynamic deployment technology of the virtual machine is one of the current cloud computing research focuses. The traditional methods mainly work after the degradation of the service performance that usually lag. To solve the problem a new prediction model based on the CPU utilization is constructed in this paper. A reference offered by the new prediction model of the CPU utilization is provided to the VM dynamic deployment process which will speed to finish the deployment process before the degradation of the service performance. By this method it not only ensure the quality of services but also improve the server performance and resource utilization. The new prediction method of the CPU utilization based on the ARIMA-BP neural network mainly include four parts: preprocess the collected data, build the predictive model of ARIMA-BP neural network, modify the nonlinear residuals of the time series by the BP prediction algorithm and obtain the prediction results by analyzing the above data comprehensively.

  1. A Methodology for a Sustainable CO2 Capture and Utilization Network

    DEFF Research Database (Denmark)

    Frauzem, Rebecca; Fjellerup, Kasper; Gani, Rafiqul

    2015-01-01

    are being investigated and implemented [1]. Carbon Capture and Storage (CCS) is the dominant method that is discussed. However, CO2 utilization is receiving increased attention for its ability to help in long-term CO2 reduction and the formation of various chemical products. One of the primary elements...... is the sustainable linkage of carbon capture to produce the CO2 feed and the subsequent conversion processes. A manipulation of an MEA absorption process, the current industrial standard for carbon capture [2], is investigated. The resulting CO2 stream can be directly fed into a variety of conversion processes...... hydrogenation highlights the application. This case study illustrates the utility of the utilization network and elements of the methodology being developed. In addition, the conversion process is linked with carbon capture to evaluate the overall sustainability. Finally, the production of the other raw...

  2. Formulation and Design of a CO2 Utilization Network Detailed Through a Conceptual Example

    DEFF Research Database (Denmark)

    Frauzem, Rebecca; Fjellerup, Kasper; Gani, Rafiqul

    Climate change is a global issue that has come to the forefront of environmental concern. With the increasing emissions of greenhouse gases, efforts have increased to reduce carbon dioxide (CO2) emissions. Regulatory guidelines are becoming more stringent and efforts for long-term reduction...... are being investigated and implemented [1]. Carbon Capture and Storage (CCS) is the dominant method that is discussed. However, CO2 utilization is receiving increased attention for its ability to help in long-term CO2 reduction and the formation of various chemical products. One of the primary elements...... of utilization is the conversion of CO2 to valuable products via chemical reactions with other raw materials. In order for this to be implemented at a large and industrial level, further work is necessary. As part of this, the work focuses on the formulation and design of a CO2 utilization network via...

  3. Assessing the performance of urban water utilities in Mozambique ...

    African Journals Online (AJOL)

    Benchmarking analysis has become a strategic tool through which water regulators around the world measure the performance of water utilities. Since 2008, the Water Regulatory Council of Mozambique has been implementing a benchmarking framework to analyse the performance of urban water utilities. This paper ...

  4. Assessment of Barriers to Reproductive Health Service Utilization ...

    African Journals Online (AJOL)

    Microsoft

    2017-09-01

    Sep 1, 2017 ... our study that cultural influence and shyness of girls were considered as barriers to RH service utilization. In other study, factors affecting utilization of SRH services by young people include: limited SRH knowledge, lack of open discussion on sexual matters, low status of women, cultural and logistical ...

  5. A New Framework for Assessing the Sustainability Reporting Disclosure of Water Utilities

    Directory of Open Access Journals (Sweden)

    Silvia Cantele

    2018-02-01

    Full Text Available Sustainability reporting is becoming more and more widespread among companies aiming at disclosing their contribution to sustainable development and gaining legitimacy from stakeholders. This is more significant for firms operating in a public services’ context and mainly when supplying a fundamental public resource, like water utilities. While the literature on sustainability reporting in the water sector is scant, there is an increasing need to study the usefulness and quality of its sustainability disclosures to adequately inform the stakeholders about the activities of water utilities to protect this fundamental resource and general sustainable development. This article presents a novel assessment framework based on a scoring technique and an empirical analysis on the sustainability reports of Italian water utilities carried out through it. The results highlight a low level of disclosure on the sustainability indicators suggested by the main sustainability reporting guidelines (Global Reporting Initiative, (GRI, and Sustainability Accounting Standard Board, (SASB; most companies tend to disclose only qualitative information and fail to inform about some material aspects of water management, such as water recycled, network resilience, water sources, and effluent quality. These findings indicate that sustainability reporting is mainly considered as a communication tool, rather than a performance measurement and an accountability tool, but also suggest the need for a new and international industry-specific sustainability reporting standard.

  6. Clinical utility of dual-energy vertebral assessment (DVA).

    Science.gov (United States)

    Vokes, Tamara J; Dixon, Larry B; Favus, Murray J

    2003-11-01

    The current study was undertaken to evaluate the clinical utility of DVA, a system for imaging the lateral spine on the Lunar Prodigy densitometer. DVA images were obtained and bone density of the lumbar spine and proximal femur measured in 297 subjects (272 women), aged 64+/-13 years. The images were classified as: normal (N) if no fractures were detected and all vertebrae between T6 and L4 were visualized, fracture (F) if any vertebra had a fracture (defined as 25% or more reduction in the vertebral height) even if some of the other vertebrae could not be visualized, and un-interpretable (U) if at least one of the vertebra between T6 and L4 could not be classified and no fractures were detected in the visualized vertebrae. A subset of 66 patients also had standard radiographs of the thoracic and lumbar spine. Compared to radiographs, DVA had a 95% sensitivity to detect fractures and 82% specificity (to exclude them). Among all 297 subjects studied, DVAs were interpretable in 87%. They were classified as N in 204 (68%), F in 55 (19%) and U in 38 (13%). The reasons for un-interpretability were: scoliosis, scapular or rib shadow, severe arthritic changes and multiple vertebral compression fracture with severe spinal deformities. Only 11% of F subjects gave a history of a vertebral fracture, and only 56% of F subjects met the BMD criteria for osteoporosis (T score DVA, a low radiation and relatively low cost "point of service" procedure, to BMD measurement provides the clinician with a more comprehensive fracture risk assessment than that afforded by clinical evaluation and BMD measurement alone.

  7. State of the art of the virtual utility: the smart distributed generation network

    Energy Technology Data Exchange (ETDEWEB)

    Coll-Mayor, D.; Picos, R.; Garcia-Moreno, E. [University of Balearic Islands (Spain). Physics Department

    2004-07-01

    The world of energy has lately experienced a revolution, and new rules are being defined. The climate change produced by the greenhouse gases, the inefficiency of the energy system or the lack of power supply infrastructure in most of the poor countries, the liberalization of the energy market and the development of new technologies in the field of distributed generation (DG) are the key factors of this revolution. It seems clear that the solution at the moment is the DG. The advantage of DG is the energy generation close to the demand point. It means that DG can lower costs, reduce emissions, or expand the energy options of the consumers. DG may add redundancy that increases grid security even while powering emergency lighting or other critical systems and reduces power losses in the electricity distribution. After the development of the different DG and high efficiency technologies such as co-generation and tri-generation, the next step in the DG world is the interconnection of different small distributed generation facilities which act together in a DG network as a large power plant controlled by a centralized energy management system (EMS). The main aim of the EMS is to reach the targets of low emissions and high efficiency. The EMS gives priority to renewable energy sources instead of the use of fossil fuels. This new concept of energy infrastructure is referred to as virtual utility (VU). The VU can be defined as a new model of energy infrastructure which consists of integrating different kind of distributed generation utilities in an energy (electricity and heat) generation network controlled by a central energy management system (EMS). The electricity production in the network is subordinated to the heat necessity of every user. The thermal energy is consumed on site; the electricity is generated and distributed in the entire network. The network is composed of one centralized control with the EMS and different clusters of distributed generation utilities

  8. Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task

    Science.gov (United States)

    2017-01-01

    Neural networks with a single plastic layer employing reward modulated spike time dependent plasticity (STDP) are capable of learning simple foraging tasks. Here we demonstrate advanced pattern discrimination and continuous learning in a network of spiking neurons with multiple plastic layers. The network utilized both reward modulated and non-reward modulated STDP and implemented multiple mechanisms for homeostatic regulation of synaptic efficacy, including heterosynaptic plasticity, gain control, output balancing, activity normalization of rewarded STDP and hard limits on synaptic strength. We found that addition of a hidden layer of neurons employing non-rewarded STDP created neurons that responded to the specific combinations of inputs and thus performed basic classification of the input patterns. When combined with a following layer of neurons implementing rewarded STDP, the network was able to learn, despite the absence of labeled training data, discrimination between rewarding patterns and the patterns designated as punishing. Synaptic noise allowed for trial-and-error learning that helped to identify the goal-oriented strategies which were effective in task solving. The study predicts a critical set of properties of the spiking neuronal network with STDP that was sufficient to solve a complex foraging task involving pattern classification and decision making. PMID:28961245

  9. Polysaccharides utilization in human gut bacterium Bacteroides thetaiotaomicron: comparative genomics reconstruction of metabolic and regulatory networks.

    Science.gov (United States)

    Ravcheev, Dmitry A; Godzik, Adam; Osterman, Andrei L; Rodionov, Dmitry A

    2013-12-12

    Bacteroides thetaiotaomicron, a predominant member of the human gut microbiota, is characterized by its ability to utilize a wide variety of polysaccharides using the extensive saccharolytic machinery that is controlled by an expanded repertoire of transcription factors (TFs). The availability of genomic sequences for multiple Bacteroides species opens an opportunity for their comparative analysis to enable characterization of their metabolic and regulatory networks. A comparative genomics approach was applied for the reconstruction and functional annotation of the carbohydrate utilization regulatory networks in 11 Bacteroides genomes. Bioinformatics analysis of promoter regions revealed putative DNA-binding motifs and regulons for 31 orthologous TFs in the Bacteroides. Among the analyzed TFs there are 4 SusR-like regulators, 16 AraC-like hybrid two-component systems (HTCSs), and 11 regulators from other families. Novel DNA motifs of HTCSs and SusR-like regulators in the Bacteroides have the common structure of direct repeats with a long spacer between two conserved sites. The inferred regulatory network in B. thetaiotaomicron contains 308 genes encoding polysaccharide and sugar catabolic enzymes, carbohydrate-binding and transport systems, and TFs. The analyzed TFs control pathways for utilization of host and dietary glycans to monosaccharides and their further interconversions to intermediates of the central metabolism. The reconstructed regulatory network allowed us to suggest and refine specific functional assignments for sugar catabolic enzymes and transporters, providing a substantial improvement to the existing metabolic models for B. thetaiotaomicron. The obtained collection of reconstructed TF regulons is available in the RegPrecise database (http://regprecise.lbl.gov).

  10. A holistic framework for design of cost-effective minimum water utilization network.

    Science.gov (United States)

    Wan Alwi, S R; Manan, Z A; Samingin, M H; Misran, N

    2008-07-01

    Water pinch analysis (WPA) is a well-established tool for the design of a maximum water recovery (MWR) network. MWR, which is primarily concerned with water recovery and regeneration, only partly addresses water minimization problem. Strictly speaking, WPA can only lead to maximum water recovery targets as opposed to the minimum water targets as widely claimed by researchers over the years. The minimum water targets can be achieved when all water minimization options including elimination, reduction, reuse/recycling, outsourcing and regeneration have been holistically applied. Even though WPA has been well established for synthesis of MWR network, research towards holistic water minimization has lagged behind. This paper describes a new holistic framework for designing a cost-effective minimum water network (CEMWN) for industry and urban systems. The framework consists of five key steps, i.e. (1) Specify the limiting water data, (2) Determine MWR targets, (3) Screen process changes using water management hierarchy (WMH), (4) Apply Systematic Hierarchical Approach for Resilient Process Screening (SHARPS) strategy, and (5) Design water network. Three key contributions have emerged from this work. First is a hierarchical approach for systematic screening of process changes guided by the WMH. Second is a set of four new heuristics for implementing process changes that considers the interactions among process changes options as well as among equipment and the implications of applying each process change on utility targets. Third is the SHARPS cost-screening technique to customize process changes and ultimately generate a minimum water utilization network that is cost-effective and affordable. The CEMWN holistic framework has been successfully implemented on semiconductor and mosque case studies and yielded results within the designer payback period criterion.

  11. To assess the awareness, utilization and perception of healthcare ...

    African Journals Online (AJOL)

    2017-10-03

    Oct 3, 2017 ... A well-structured self-administered questionnaire was used to obtain data from ... Keywords:health insurance, healthcare workers, awareness, perception, utilisation. 24 ... The utilization of health services by the population is a.

  12. A retrospective study to assess resource utilization in patients with cervical dystonia in the United Kingdom

    Directory of Open Access Journals (Sweden)

    Raluy-Callado M

    2015-03-01

    Full Text Available Mireia Raluy-Callado,1 Sylvie Gabriel,2 Jérôme Dinet,2 Meng Wang,1 Radek Wasiak1 1Retrospective Observational Studies, Evidera, London, UK; 2Ipsen Pharma, Boulogne-Billancourt, France Purpose: Cervical dystonia (CD is a hypertonic condition caused by damage to the central nervous system. Very few studies have assessed the overall economic burden of the disease. The objective of this study was to describe the utilization of health care resources of patients with CD in the UK primary care setting, using a large population-based database.Patients and methods: Adults with a first diagnosis of CD between January 1, 2007 and January 31, 2011, who were registered to a general practitioner (GP practice contributing to The Health Improvement Network (THIN, were included. Sociodemographic and clinical characteristics were assessed at the time of diagnosis. Health care resource utilization and pharmacological treatment were investigated at the end of the first and second year after diagnosis.Results: Overall, 4,024 newly diagnosed patients with CD were identified, with average age at diagnosis of 45 years old; 65.3% were female. Depression in the year prior to diagnosis was the most common comorbidity. Primary care utilization was high in the first year, with 99.2% of patients visiting their GP (on average 6.2 times, and 43% visiting a nurse (on average 2.5 times. Patients were most commonly referred to an orthopedic surgeon, and 15.9% reported at least one physiotherapy visit. In the second year, utilization was similar. Prescriptions of at least one of the investigated treatments were found in 82.0% and 45.3%, in the first and second year, respectively.Conclusion: Findings suggest a high number of new CD cases are being identified in primary care, but not all will be referred to secondary care. Health care resource utilization was compared with that of all patients registered in THIN, which is representative of the UK, and the adjusted usage of primary

  13. Using Social Network Analysis to Assess Mentorship and Collaboration in a Public Health Network.

    Science.gov (United States)

    Petrescu-Prahova, Miruna; Belza, Basia; Leith, Katherine; Allen, Peg; Coe, Norma B; Anderson, Lynda A

    2015-08-20

    Addressing chronic disease burden requires the creation of collaborative networks to promote systemic changes and engage stakeholders. Although many such networks exist, they are rarely assessed with tools that account for their complexity. This study examined the structure of mentorship and collaboration relationships among members of the Healthy Aging Research Network (HAN) using social network analysis (SNA). We invited 97 HAN members and partners to complete an online social network survey that included closed-ended questions about HAN-specific mentorship and collaboration during the previous 12 months. Collaboration was measured by examining the activity of the network on 6 types of products: published articles, in-progress manuscripts, grant applications, tools, research projects, and presentations. We computed network-level measures such as density, number of components, and centralization to assess the cohesiveness of the network. Sixty-three respondents completed the survey (response rate, 65%). Responses, which included information about collaboration with nonrespondents, suggested that 74% of HAN members were connected through mentorship ties and that all 97 members were connected through at least one form of collaboration. Mentorship and collaboration ties were present both within and across boundaries of HAN member organizations. SNA of public health collaborative networks provides understanding about the structure of relationships that are formed as a result of participation in network activities. This approach may offer members and funders a way to assess the impact of such networks that goes beyond simply measuring products and participation at the individual level.

  14. Assessing the heritability of attentional networks

    Directory of Open Access Journals (Sweden)

    Fossella John A

    2001-09-01

    Full Text Available Abstract Background Current efforts to study the genetics of higher functions have been lacking appropriate phenotypes to describe cognition. One of the problems is that many cognitive concepts for which there is a single word (e.g. attention have been shown to be related to several anatomical networks. Recently we have developed an Attention Network Test (ANT that provides a separate measure for each of three anatomically defined attention networks. In this small scale study, we ran 26 pairs of MZ and DZ twins in an effort to determine if any of these networks show sufficient evidence of heritability to warrant further exploration of their genetic basis. Results The efficiency of the executive attention network, that mediates stimulus and response conflict, shows sufficient heritability to warrant further study. Alerting and overall reaction time show some evidence for heritability and in our study the orienting network shows no evidence of heritability. Conclusions These results suggest that genetic variation contributes to normal individual differences in higher order executive attention involving dopamine rich frontal areas including the anterior cingulate. At least the executive portion of the ANT may serve as a valid endophenotype for larger twin studies and subsequent molecular genetic analysis in normal subject populations.

  15. Probability of islanding in utility networks due to grid connected photovoltaic power systems

    Energy Technology Data Exchange (ETDEWEB)

    Verhoeven, B.

    2002-09-15

    This report for the International Energy Agency (IEA) made by Task 5 of the Photovoltaic Power Systems (PVPS) programme takes a look at the probability of islanding in utility networks due to grid-connected photovoltaic power systems. The mission of the Photovoltaic Power Systems Programme is to enhance the international collaboration efforts which accelerate the development and deployment of photovoltaic solar energy. Task 5 deals with issues concerning grid-interconnection and distributed PV power systems. This report summarises the results on a study on the probability of islanding in power networks with a high penetration level of grid connected PV-systems. The results are based on measurements performed during one year in a Dutch utility network. The measurements of active and reactive power were taken every second for two years and stored in a computer for off-line analysis. The area examined and its characteristics are described, as are the test set-up and the equipment used. The ratios between load and PV-power are discussed. The general conclusion is that the probability of islanding is virtually zero for low, medium and high penetration levels of PV-systems.

  16. 75 FR 51806 - Climate Change Vulnerability Assessment: Four Case Studies of Water Utility Practices

    Science.gov (United States)

    2010-08-23

    ...-0701] Climate Change Vulnerability Assessment: Four Case Studies of Water Utility Practices AGENCY...-day public comment period for the draft document titled, ``Climate Change Vulnerability Assessment... utilities to assess their vulnerability to future climate change. The report is intended to illustrate the...

  17. Delay/Disruption Tolerance Networking (DTN) Implementation and Utilization Options on the International Space Station

    Science.gov (United States)

    Holbrook, Mark; Pitts, Robert Lee; Gifford, Kevin K.; Jenkins, Andrew; Kuzminsky, Sebastian

    2010-01-01

    The International Space Station (ISS) is in an operational configuration and nearing final assembly. With its maturity and diverse payloads onboard, the opportunity exists to extend the orbital lab into a facility to exercise and demonstrate Delay/Disruption Tolerant Networking (DTN). DTN is an end-to-end network service providing communications through environments characterized by intermittent connectivity, variable delays, high bit error rates, asymmetric links and simplex links. The DTN protocols, also known as bundle protocols, provide a store-and-forward capability to accommodate end-to-end network services. Key capabilities of the bundling protocols include: the Ability to cope with intermittent connectivity, the Ability to take advantage of scheduled and opportunistic connectivity (in addition to always up connectivity), Custody Transfer, and end-to-end security. Colorado University at Boulder and the Huntsville Operational Support Center (HOSC) have been developing a DTN capability utilizing the Commercial Generic Bioprocessing Apparatus (CGBA) payload resources onboard the ISS, at the Boulder Payload Operations Center (POC) and at the HOSC. The DTN capability is in parallel with and is designed to augment current capabilities. The architecture consists of DTN endpoint nodes on the ISS and at the Boulder POC, and a DTN node at the HOSC. The DTN network is composed of two implementations; the Interplanetary Overlay Network (ION) and the open source DTN2 implementation. This paper presents the architecture, implementation, and lessons learned. By being able to handle the types of environments described above, the DTN technology will be instrumental in extending networks into deep space to support future missions to other planets and other solar system points of interest. Thus, this paper also discusses how this technology will be applicable to these types of deep space exploration missions.

  18. GPP Webinar: Solar Utilization in Higher Education Networking & Information Sharing Group: RFP, Contract, and Administrative Issues Discussion

    Science.gov (United States)

    This presentation from a Solar Utilization in Higher Education Networking and Information webinar covers contracts, Request for Proposals (RFPs), and administrative issues related to solar project development in the higher education sector.

  19. Utilizing Neural Networks in the Retrieval of Jovian Constituent Profiles Using Data from the Juno MWR

    Science.gov (United States)

    Bellotti, Amadeo; Steffes, Paul G.

    2017-10-01

    The Juno Microwave Radiometer (MWR) has six channels ranging from 1.36-50 cm and has the ability to peer deep into the Jovian atmosphere. A minimization algorithm utilizing surrogate models has been developed and implemented to perform retrievals for Jovian constituent profiles using Juno MWR data. An artifical neural network algorithm is used as the surrogate for the Juno Atmospheric Microwave Radiative Transfer (JAMRT) model in this minimization. The neural network is trained by simulating emissions at the six wavelengths computed using JAMRT. By exploiting the speed of this surrogate model, retrievals for Jovian constituents profiles, such as ammonia and water vapor, can be rapidly and accurately performed. Retrieved abundance profiles for the first six perijoves during which the Juno MWR was operational will be presented.This work was supported by NASA Contract NNM06AA75C from the Marshall Space Flight Center supporting the Juno Mission Science team, under Subcontract 699054X from the Southwest Research Institute.

  20. Social networks as the context for understanding employment services utilization among homeless youth.

    Science.gov (United States)

    Barman-Adhikari, Anamika; Rice, Eric

    2014-08-01

    Little is known about the factors associated with use of employment services among homeless youth. Social network characteristics have been known to be influential in motivating people's decision to seek services. Traditional theoretical frameworks applied to studies of service use emphasize individual factors over social contexts and interactions. Using key social network, social capital, and social influence theories, this paper developed an integrated theoretical framework that capture the social network processes that act as barriers or facilitators of use of employment services by homeless youth, and understand empirically, the salience of each of these constructs in influencing the use of employment services among homeless youth. We used the "Event based-approach" strategy to recruit a sample of 136 homeless youth at one drop-in agency serving homeless youth in Los Angeles, California in 2008. The participants were queried regarding their individual and network characteristics. Data were entered into NetDraw 2.090 and the spring embedder routine was used to generate the network visualizations. Logistic regression was used to assess the influence of the network characteristics on use of employment services. The study findings suggest that social capital is more significant in understanding why homeless youth use employment services, relative to network structure and network influence. In particular, bonding and bridging social capital were found to have differential effects on use of employment services among this population. The results from this study provide specific directions for interventions aimed to increase use of employment services among homeless youth. Copyright © 2014 Elsevier Ltd. All rights reserved.

  1. Social networks, mental health problems, and mental health service utilization in OEF/OIF National Guard veterans.

    Science.gov (United States)

    Sripada, Rebecca K; Bohnert, Amy S B; Teo, Alan R; Levine, Debra S; Pfeiffer, Paul N; Bowersox, Nicholas W; Mizruchi, Mark S; Chermack, Stephen T; Ganoczy, Dara; Walters, Heather; Valenstein, Marcia

    2015-09-01

    Low social support and small social network size have been associated with a variety of negative mental health outcomes, while their impact on mental health services use is less clear. To date, few studies have examined these associations in National Guard service members, where frequency of mental health problems is high, social support may come from military as well as other sources, and services use may be suboptimal. Surveys were administered to 1448 recently returned National Guard members. Multivariable regression models assessed the associations between social support characteristics, probable mental health conditions, and service utilization. In bivariate analyses, large social network size, high social network diversity, high perceived social support, and high military unit support were each associated with lower likelihood of having a probable mental health condition (p social support (OR .90, CI .88-.92) and high unit support (OR .96, CI .94-.97) continued to be significantly associated with lower likelihood of mental health conditions. Two social support measures were associated with lower likelihood of receiving mental health services in bivariate analyses, but were not significant in adjusted models. General social support and military-specific support were robustly associated with reduced mental health symptoms in National Guard members. Policy makers, military leaders, and clinicians should attend to service members' level of support from both the community and their units and continue efforts to bolster these supports. Other strategies, such as focused outreach, may be needed to bring National Guard members with need into mental health care.

  2. Utilizing neural networks in magnetic media modeling and field computation: A review.

    Science.gov (United States)

    Adly, Amr A; Abd-El-Hafiz, Salwa K

    2014-11-01

    Magnetic materials are considered as crucial components for a wide range of products and devices. Usually, complexity of such materials is defined by their permeability classification and coupling extent to non-magnetic properties. Hence, development of models that could accurately simulate the complex nature of these materials becomes crucial to the multi-dimensional field-media interactions and computations. In the past few decades, artificial neural networks (ANNs) have been utilized in many applications to perform miscellaneous tasks such as identification, approximation, optimization, classification and forecasting. The purpose of this review article is to give an account of the utilization of ANNs in modeling as well as field computation involving complex magnetic materials. Mostly used ANN types in magnetics, advantages of this usage, detailed implementation methodologies as well as numerical examples are given in the paper.

  3. Utilizing neural networks in magnetic media modeling and field computation: A review

    Directory of Open Access Journals (Sweden)

    Amr A. Adly

    2014-11-01

    Full Text Available Magnetic materials are considered as crucial components for a wide range of products and devices. Usually, complexity of such materials is defined by their permeability classification and coupling extent to non-magnetic properties. Hence, development of models that could accurately simulate the complex nature of these materials becomes crucial to the multi-dimensional field-media interactions and computations. In the past few decades, artificial neural networks (ANNs have been utilized in many applications to perform miscellaneous tasks such as identification, approximation, optimization, classification and forecasting. The purpose of this review article is to give an account of the utilization of ANNs in modeling as well as field computation involving complex magnetic materials. Mostly used ANN types in magnetics, advantages of this usage, detailed implementation methodologies as well as numerical examples are given in the paper.

  4. Production of thin film networks which utilize chrome-gold conductors

    Energy Technology Data Exchange (ETDEWEB)

    Rathbun, D.A.

    1979-07-01

    Thin film networks (TFNs), designed by Sandia Laboratories, Albuquerque, are manufactured by the Bendix Corporation, Kansas City Division, for DOE programs. The majority of the TFNs fabricated at this division utilize gold films 3 to 9 ..mu..m thick evaporated over a chromium film. The chromium film is evaporated over sputtered tantalum nitride film, and the substrate material is 0.027 in. (0.686 mm) thick alumina. The TFNs must have high film adhesion characteristics, meet high bondability requirements, and allow stable electrical parameters. Various production techniques ensure these high reliability TFNs.

  5. Assessing Network Services and Security in Nigeria Universities ...

    African Journals Online (AJOL)

    Journal of Computer Science and Its Application ... The paper investigated sources of threats and vulnerabilities to Nigerian university computer networks and assessed the adequacy of security controls in place to ... This was with a view to enhancing the integrity of data transactions on the Universities' computer networks.

  6. Assessing Landslide Hazard Using Artificial Neural Network

    DEFF Research Database (Denmark)

    Farrokhzad, Farzad; Choobbasti, Asskar Janalizadeh; Barari, Amin

    2011-01-01

    failure" which is main concentration of the current research and "liquefaction failure". Shear failures along shear planes occur when the shear stress along the sliding surfaces exceed the effective shear strength. These slides have been referred to as landslide. An expert system based on artificial...... neural network has been developed for use in the stability evaluation of slopes under various geological conditions and engineering requirements. The Artificial neural network model of this research uses slope characteristics as input and leads to the output in form of the probability of failure...

  7. Assessment of utilization of maternal health care provisions in ...

    African Journals Online (AJOL)

    Health services provisions are crucial aspects of everyone's well-being especially pregnant women who are most often, denied access to maternal health care provisions. Previous studies on maternal health care focused mainly on economic factors as the main reason for poor utilization of maternal health care provisions ...

  8. Assessment of Barriers to Reproductive Health Service Utilization ...

    African Journals Online (AJOL)

    Microsoft

    2017-09-01

    Sep 1, 2017 ... adolescent RH service utilization and judgmental approach of health professionals .... Primary education. High school. 10+3. Total. 65. 41. 12. 6. 100. 52.4. 33.1. 9.7. 4.8. 100. Challenges of reproductive health. Preference of female professionals: Due to .... this, labor starts at unexpected time and they give.

  9. Assessment of household energy utilized for cooking in Ikeja, Lagos ...

    African Journals Online (AJOL)

    Household cooking energy accounts for a major part of the total energy consumed in Nigeria. Factors affecting the choice of Household energy utilized for cooking and the type preferred in Ikeja area of Lagos state were investigated in this study. Data were obtained through oral interview and administration of structured ...

  10. Assessment of drug utilization from prescribers and dispensers ...

    African Journals Online (AJOL)

    Background: Access to essential drugs and up-to-date information related to drugs are critical for optimal provision of health care, particularly in developing countries. However, the situation of drug utilization in Ethiopia is less than optimum and the scarcity of information about it has prompted the undertaking of this study.

  11. Assessment of the impact of latrine utilization on diarrhoeal diseases ...

    African Journals Online (AJOL)

    Bernt Lindtjorn

    latrine utilization was significantly associated with presence of primary or secondary school children in the house. [AOR: 1.47 ..... behavioral factors. Households owning latrines for >2 years had a more likely protective effect (close to 70%) of the occurrence of childhood diarrhoea [OR: 0.28, ... Households with elementary or.

  12. Assigning the Appropriate Works for Review on Networked Peer Assessment

    Science.gov (United States)

    Lee, Chien-I

    2017-01-01

    Peer assessment can expand the cognitive schemas of students, facilitate knowledge construction, and promote discussion and cooperative learning among students and their peers. In recent years, the application of the internet to conduct peer assessment activities has been widely implemented. The advantages of networked peer assessments over…

  13. Evaluating the Utility of Minnesota's Teacher Performance Assessment

    Science.gov (United States)

    Wiechman, Jeffery P.

    2013-01-01

    Teacher preparation is a hot topic in the world of education today. Performance assessments mark one way that colleges may prove the readiness of their pre-service teaching candidates for a career in the classroom. This study used methods to evaluate one college's effort to implement such an assessment, to integrate assessment tasks into its…

  14. Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses

    Directory of Open Access Journals (Sweden)

    Emily Patricia Stephen

    2014-03-01

    Full Text Available The brain is a complex network of interconnected elements, whose interactions evolve dynamically in time to cooperatively perform specific functions. A common technique to probe these interactions involves multi-sensor recordings of brain activity during a repeated task. Many techniques exist to characterize the resulting task-related activity, including establishing functional networks, which represent the statistical associations between brain areas. Although functional network inference is commonly employed to analyze neural time series data, techniques to assess the uncertainty – both in the functional network edges and the corresponding aggregate measures of network topology – are lacking. To address this, we describe a statistically principled approach for computing uncertainty in functional networks and aggregate network measures in task-related data. The approach is based on a resampling procedure that utilizes the trial structure common in experimental recordings. We show in simulations that this approach successfully identifies functional networks and associated measures of confidence emergent during a task in a variety of scenarios, including dynamically evolving networks. In addition, we describe a principled technique to establish functional networks based on predetermined regions of interest using canonical correlation. Doing so provides additional robustness to the functional network inference. Finally, we illustrate the use of these methods on example invasive brain voltage recordings collected during an overt speech task. The general strategy described here – appropriate for static and dynamic network inference and different statistical measures of coupling – permits the evaluation of confidence in network measures in a variety of settings common to neuroscience.

  15. Towards semen quality assessment using neural networks

    DEFF Research Database (Denmark)

    Linneberg, Christian; Salamon, P.; Svarer, C.

    1994-01-01

    The paper presents the methodology and results from a neural net based classification of human sperm head morphology. The methodology uses a preprocessing scheme in which invariant Fourier descriptors are lumped into “energy” bands. The resulting networks are pruned using optimal brain damage...

  16. South Florida Seagrass Fish and Invertebrate Assessment Network (FIAN)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The South Florida Fish and Invertebrate Assessment Network (FIAN) is a monitoring project within the Comprehensive Everglades Restoration Plan (CERP). It is an...

  17. Assessing a Sport/Cultural Events Network: An Application of Social Network Analysis

    OpenAIRE

    Ziakas, V; Costa, CA

    2009-01-01

    The purpose of this study was to assess the complexity of a sport/cultural events network. To that intent, a social network analysis was conducted in a small community in the US. The study had three main objectives: (1) Examine relationships among organisations involved in planning and implementing sport and cultural events based on their communication, exchange of resources, and assistance; (2) Identify the most important actors within the events network and their relationships; (3) Investig...

  18. Network Security Risk Assessment Based on Item Response Theory

    Directory of Open Access Journals (Sweden)

    Fangwei Li

    2015-08-01

    Full Text Available Owing to the traditional risk assessment method has one-sidedness and is difficult to reflect the real network situation, a risk assessment method based on Item Response Theory (IRT is put forward in network security. First of all, the novel algorithms of calculating the threat of attack and the successful probability of attack are proposed by the combination of IRT model and Service Security Level. Secondly, the service weight of importance is calculated by the three-demarcation analytic hierarchy process. Finally, the risk situation graph of service, host and network logic layer could be generated by the improved method. The simulation results show that this method can be more comprehensive consideration of factors which are affecting network security, and a more realistic network risk situation graph in real-time will be obtained.

  19. Impact assessment of extreme storm events using a Bayesian network

    Science.gov (United States)

    den Heijer, C.(Kees); Knipping, Dirk T.J.A.; Plant, Nathaniel G.; van Thiel de Vries, Jaap S. M.; Baart, Fedor; van Gelder, Pieter H. A. J. M.

    2012-01-01

    This paper describes an investigation on the usefulness of Bayesian Networks in the safety assessment of dune coasts. A network has been created that predicts the erosion volume based on hydraulic boundary conditions and a number of cross-shore profile indicators. Field measurement data along a large part of the Dutch coast has been used to train the network. Corresponding storm impact on the dunes was calculated with an empirical dune erosion model named duros+. Comparison between the Bayesian Network predictions and the original duros+ results, here considered as observations, results in a skill up to 0.88, provided that the training data covers the range of predictions. Hence, the predictions from a deterministic model (duros+) can be captured in a probabilistic model (Bayesian Network) such that both the process knowledge and uncertainties can be included in impact and vulnerability assessments.

  20. Addressing practical challenges in utility optimization of mobile wireless sensor networks

    Science.gov (United States)

    Eswaran, Sharanya; Misra, Archan; La Porta, Thomas; Leung, Kin

    2008-04-01

    This paper examines the practical challenges in the application of the distributed network utility maximization (NUM) framework to the problem of resource allocation and sensor device adaptation in a mission-centric wireless sensor network (WSN) environment. By providing rich (multi-modal), real-time information about a variety of (often inaccessible or hostile) operating environments, sensors such as video, acoustic and short-aperture radar enhance the situational awareness of many battlefield missions. Prior work on the applicability of the NUM framework to mission-centric WSNs has focused on tackling the challenges introduced by i) the definition of an individual mission's utility as a collective function of multiple sensor flows and ii) the dissemination of an individual sensor's data via a multicast tree to multiple consuming missions. However, the practical application and performance of this framework is influenced by several parameters internal to the framework and also by implementation-specific decisions. This is made further complex due to mobile nodes. In this paper, we use discrete-event simulations to study the effects of these parameters on the performance of the protocol in terms of speed of convergence, packet loss, and signaling overhead thereby addressing the challenges posed by wireless interference and node mobility in ad-hoc battlefield scenarios. This study provides better understanding of the issues involved in the practical adaptation of the NUM framework. It also helps identify potential avenues of improvement within the framework and protocol.

  1. User Instructions for the Systems Assessment Capability, Rev. 1, Computer Codes Volume 3: Utility Codes

    Energy Technology Data Exchange (ETDEWEB)

    Eslinger, Paul W.; Aaberg, Rosanne L.; Lopresti, Charles A.; Miley, Terri B.; Nichols, William E.; Strenge, Dennis L.

    2004-09-14

    This document contains detailed user instructions for a suite of utility codes developed for Rev. 1 of the Systems Assessment Capability. The suite of computer codes for Rev. 1 of Systems Assessment Capability performs many functions.

  2. Climate Change Vulnerability Assessments: Four Case Studies of Water Utility Practices (2011 Final)

    Science.gov (United States)

    EPA has released the final report titled, Climate Change Vulnerability Assessments: Four Case Studies of Water Utility Practices. This report was prepared by the National Center for Environmental Assessment's Global Climate Research Staff in the Office of Research and D...

  3. Assessing neuronal networks: understanding Alzheimer's disease.

    LENUS (Irish Health Repository)

    Bokde, Arun L W

    2012-02-01

    Findings derived from neuroimaging of the structural and functional organization of the human brain have led to the widely supported hypothesis that neuronal networks of temporally coordinated brain activity across different regional brain structures underpin cognitive function. Failure of integration within a network leads to cognitive dysfunction. The current discussion on Alzheimer\\'s disease (AD) argues that it presents in part a disconnection syndrome. Studies using functional magnetic resonance imaging, positron emission tomography and electroencephalography demonstrate that synchronicity of brain activity is altered in AD and correlates with cognitive deficits. Moreover, recent advances in diffusion tensor imaging have made it possible to track axonal projections across the brain, revealing substantial regional impairment in fiber-tract integrity in AD. Accumulating evidence points towards a network breakdown reflecting disconnection at both the structural and functional system level. The exact relationship among these multiple mechanistic variables and their contribution to cognitive alterations and ultimately decline is yet unknown. Focused research efforts aimed at the integration of both function and structure hold great promise not only in improving our understanding of cognition but also of its characteristic progressive metamorphosis in complex chronic neurodegenerative disorders such as AD.

  4. Exploring the Utility of Preference Assessments in Organizational Behavior Management

    Science.gov (United States)

    Waldvogel, Jamie M.; Dixon, Mark R.

    2008-01-01

    The present study compared two variations of stimulus preference assessments: a survey in which direct service employees ranked their preferences for a variety of items, and a multiple stimulus preference assessment without replacement (MSWO), in which textual stimuli were used to represent the actual items. Results obtained for four participants…

  5. Impact of Living With Scoliosis: A utility Outcome Score Assessment.

    Science.gov (United States)

    Aldebeyan, Sultan; Sinno, Hani; Makhdom, Asim; Ouellet, Jean A; Saran, Neil

    2017-01-15

    Survey. The aim of this study was to objectify the burden of adolescent idiopathic scoliosis (AIS) to better advocate for scoliosis care in the future. AIS is a common spinal deformity that can affect individuals on many levels. Patients with big curves usually seek medical advice for surgical correction of their deformity. Participants completed an online questionnaire to help measure the health burden of AIS. Three utility outcome measures were then calculated. These included the visual analog scale, time trade off, and standard gamble. Student t test and linear regression were used for statistical analysis. One hundred and ten participants were included in the analysis. The mean visual analog scale, time trade off, and standard gamble scores for AIS were 0.77 ± 0.16, 0.90 ± 0.11, and 0.91 ± 0.13, respectively. Factors such as age, sex, income, and level of education were dependent predictors of utility scores for AIS. Our participants demonstrated a significant perceived burden of AIS. If faced with AIS, participants were willing to sacrifice 3.6 years of their lives and undergo a procedure with 9% mortality rate to gain perfect health. Such findings can guide future allocation of resources for better scoliosis care and management. 4.

  6. Assessing the sustainability of lead utilization in China.

    Science.gov (United States)

    Sun, Lingyu; Zhang, Chen; Li, Jinhui; Zeng, Xianlai

    2016-12-01

    Lead is not only one of heavy metals imposing environment and health risk, but also critical resource to maintain sustainable development of many industries. Recently, due to the shortage of fossil fuels, clean energy vehicles, including electric bicycle, have emerged and are widely adopted soon in the world. China became the world's largest producer of primary lead and a very significant consumer in the past decade, which has strained the supplies of China's lead deposits from lithosphere and boost the anthropogenic consumption of metallic lead and lead products. Here we summarize that China's lead demand will continually increase due to the rapid growth of electric vehicle, resulting in a short carrying duration of lead even with full lead recycling. With these applications increasing at an annual rate of 2%, the carrying duration of lead resource until 2030 will oblige that recycling rate should be not less than 90%. To sustain lead utilization in China, one approach would be to improve the utilization technology, collection system and recycling technology towards closed-loop supply chain. Other future endeavors should include optimizing lead industrial structure and development of new energy. Copyright © 2016 Elsevier Ltd. All rights reserved.

  7. Dental Hygiene Students' Self-Assessment of Ergonomics Utilizing Photography.

    Science.gov (United States)

    Partido, Brian B

    2017-10-01

    Due to postural demands, dental professionals are at high risk for developing work-related musculoskeletal disorders (WMSDs). Dental clinicians' lack of ergonomic awareness may impede the clinical application of recommendations to improve their posture. The aim of this study was to determine whether feedback involving photography and self-assessment would improve dental hygiene students' ergonomic scores and accuracy of their ergonomic self-assessments. The study involved a randomized control design and used a convenience sample of all 32 junior-year dental hygiene students enrolled in the autumn 2016 term in The Ohio State University baccalaureate dental hygiene program. Sixteen students were randomly assigned to each of two groups (control and training). At weeks one and four, all participants were photographed and completed ergonomic self-evaluations using the Modified-Dental Operator Posture Assessment Instrument (M-DOPAI). During weeks two and three, participants in the training group were photographed again and used those photographs to complete ergonomic self-assessments. All participants' pre-training and post-training photographs were given ergonomic scores by three raters. Students' self-assessments in the control group and faculty evaluations of the training group showed significant improvement in scores over time (F(1,60)=4.25, p<0.05). In addition, the accuracy of self-assessment significantly improved for students in the training group (F(1,30)=8.29, p<0.01). In this study, dental hygiene students' self-assessments using photographs resulted in improvements in their ergonomic scores and increased accuracy of their ergonomic self-assessments. Any improvement in ergonomic score or awareness can help reduce the risks for WMSDs, especially among dental clinicians.

  8. Utilization of nondentist providers and attitudes toward new provider models: findings from the National Dental Practice-Based Research Network.

    Science.gov (United States)

    Blue, Christine M; Funkhouser, D Ellen; Riggs, Sheila; Rindal, D Brad; Worley, Donald; Pihlstrom, Daniel J; Benjamin, Paul; Gilbert, Gregg H

    2013-01-01

    The purpose of this study was to quantify, within the National Dental Practice-Based Research Network, current utilization of dental hygienists and assistants with expanded functions and quantify network dentists' attitudes toward a new nondentist provider model - the dental therapist. National Dental Practice-Based Research Network practitioner-investigators participated in a single, cross-sectional administration of a questionnaire. Current nondentist providers are not being utilized by network practitioner-investigators to the fullest extent allowed by law. Minnesota practitioners, practitioners in large group practices, and those with prior experience with expanded-function nondentist providers delegate at a higher rate and had more-positive perceptions of the new dental therapist model. Expanding scopes of practice for dental hygienists and assistants has not translated to the maximal delegation allowed by law among network practices. This finding may provide insight into dentists' acceptance of newer nondentist provider models. © 2013 American Association of Public Health Dentistry.

  9. Platelet function testing: methods of assessment and clinical utility.

    LENUS (Irish Health Repository)

    Mylotte, Darren

    2012-02-01

    Platelets play a central role in the regulation of both thrombosis and haemostasis yet tests of platelet function have, until recently, been exclusively used in the diagnosis and management of bleeding disorders. Recent advances have demonstrated the clinical utility of platelet function testing in patients with cardiovascular disease. The ex vivo measurement of response to antiplatelet therapies (aspirin and clopidogrel), by an ever-increasing array of platelet function tests, is with some assays, predictive of adverse clinical events and thus, represents an emerging area of interest for both the clinician and basic scientist. This review article will describe the advantages and disadvantages of the currently available methods of measuring platelet function and discuss both the limitations and emerging data supporting the role of platelet function studies in clinical practice.

  10. Platelet function testing: methods of assessment and clinical utility.

    LENUS (Irish Health Repository)

    Mylotte, Darren

    2011-01-01

    Platelets play a central role in the regulation of both thrombosis and haemostasis yet tests of platelet function have, until recently, been exclusively used in the diagnosis and management of bleeding disorders. Recent advances have demonstrated the clinical utility of platelet function testing in patients with cardiovascular disease. The ex vivo measurement of response to antiplatelet therapies (aspirin and clopidogrel), by an ever-increasing array of platelet function tests, is with some assays, predictive of adverse clinical events and thus, represents an emerging area of interest for both the clinician and basic scientist. This review article will describe the advantages and disadvantages of the currently available methods of measuring platelet function and discuss both the limitations and emerging data supporting the role of platelet function studies in clinical practice.

  11. Stress Doppler echocardiography in valvular heart diseases: utility and assessment.

    Science.gov (United States)

    O'Connor, Kim; Lancellotti, Patrizio; Piérard, Luc A

    2010-09-01

    This article is a review on the role of stress echocardiography in valvular heart diseases, describing what the validated indications are, how to perform the test and the utility of performing this examination. Most valve diseases are characteristically dynamic and this dynamic component is best appreciated by exercise Doppler echocardiography. Dobutamine stress echocardiography is also useful in patients with severe aortic stenosis and left ventricular dysfunction. The main advantage of stress echocardiography is to concomitantly allow the evaluation of symptoms, exercise capacity and the hemodynamic consequences of valve diseases, especially in patients with severe valve diseases who deny symptoms or present equivocal symptoms. It also provides important prognostic information and may help to optimize surgical timing in difficult cases. Whether these data should be integrated in the management of patients needs further validation.

  12. Bilateral Hallux Valgus: A Utility Outcome Score Assessment.

    Science.gov (United States)

    Makhdom, Asim M; Sinno, Hani; Aldebeyan, Sultan; Cota, Adam; Hamdy, Reggie Charles; Alzahrani, Mohammad; Janelle, Chantal

    2016-01-01

    Hallux valgus is the most common forefoot problem in adults. Although it can cause considerable disability and affect the quality of life of those affected, many patients seek medical attention because of cosmetic concerns. Our aim was to objectively measure the perceived health burden of living with bilateral hallux valgus. Previously validated utility outcome measures, including the visual analog scale, time trade-off, and standard gamble tests, were used to quantify the health burden for single-eye blindness, double-eye blindness, and bilateral hallux valgus in 103 healthy subjects using an online survey. The Student t test and linear regression analysis were used for statistical analysis. The mean visual analog scale, time trade-off, and standard gamble scores for bilateral hallux valgus were 0.86 ± 1.6, 0.95 ± 0.5, and 0.95 ± 0.14, respectively. These were significantly greater than the utility scores for single-eye and double-eye blindness (p hallux valgus. In conclusion, we have objectively demonstrated the effect of living with bilateral hallux valgus deformities. Our sample population reported being willing to undergo a procedure with a 5% mortality rate and sacrifice 1.8 years of life to attain perfect health and avoid the bilateral hallux valgus health state. Our findings will guide us in counseling our patients and understanding how they perceive their foot deformity. Copyright © 2016 American College of Foot and Ankle Surgeons. Published by Elsevier Inc. All rights reserved.

  13. The Operational Risk Assessment for Distribution Network with Distributed Generations

    Science.gov (United States)

    Hua, Xie; Yaqi, Wu; Yifan, Wang; Qian, Sun; Jianwei, Ma

    2017-05-01

    Distribution network is an important part of the power system and is connected to the consumers directly. Many distributed generations that have discontinuous output power are connected in the distribution networks, which may cause adverse impact to the distribution network. Therefore, to ensure the security and reliability of distribution network with numerous distributed generations, the risk analysis is necessary for this kind of distribution networks. After study of stochastic load flow algorithm, this paper applies it in the static security risk assessment. The wind and photovoltaic output probabilistic model are built. The voltage over-limit is chosen to calculate the risk indicators. As a case study, the IEEE 33 system is simulated for analyzing impact of distributed generations on system risk in the proposed method.

  14. Play and recreation in a developing country context: Assessing utility ...

    African Journals Online (AJOL)

    The overall goal was to assess the role of the gardens in promoting social integration in a historically divided along hostile ethnic lines. Despite concerns with the poor quality of the facility and lack of diversity in recreation and play programs and activities, findings show that amenity is highly valued and accessible to ...

  15. Assessing the utility of a continuous, underway fish egg sampler ...

    African Journals Online (AJOL)

    The accuracy of using a continuous underway fish egg sampler (CUFES) to sample zooplankton was assessed by comparing CUFES samples with those collected using a vertically towed bongo net. Samples were collected concurrently by the two samplers along four inshore–offshore transects off the south-western coast ...

  16. Vector network analyzer (VNA) measurements and uncertainty assessment

    CERN Document Server

    Shoaib, Nosherwan

    2017-01-01

    This book describes vector network analyzer measurements and uncertainty assessments, particularly in waveguide test-set environments, in order to establish their compatibility to the International System of Units (SI) for accurate and reliable characterization of communication networks. It proposes a fully analytical approach to measurement uncertainty evaluation, while also highlighting the interaction and the linear propagation of different uncertainty sources to compute the final uncertainties associated with the measurements. The book subsequently discusses the dimensional characterization of waveguide standards and the quality of the vector network analyzer (VNA) calibration techniques. The book concludes with an in-depth description of the novel verification artefacts used to assess the performance of the VNAs. It offers a comprehensive reference guide for beginners to experts, in both academia and industry, whose work involves the field of network analysis, instrumentation and measurements.

  17. The moderating role of social networks in the relationship between alcohol consumption and treatment utilization for alcohol-related problems.

    Science.gov (United States)

    Mowbray, Orion

    2014-01-01

    Many individuals wait until alcohol use becomes severe before treatment is sought. However, social networks, or the number of social groups an individual belongs to, may play a moderating role in this relationship. Logistic regression examined the interaction of alcohol consumption and social networks as a predictor of treatment utilization while adjusting for sociodemographic and clinical variables among 1,433 lifetime alcohol-dependent respondents from wave 2 of the National Epidemiologic Survey on Alcohol Related Conditions (NESARC). Results showed that social networks moderate the relationship between alcohol consumption and treatment utilization such that for individuals with few network ties, the relationship between alcohol consumption and treatment utilization was diminished, compared to the relationship between alcohol consumption and treatment utilization for individuals with many network ties. Findings offer insight into how social networks, at times, can influence individuals to pursue treatment, while at other times, influence individuals to stay out of treatment, or seek treatment substitutes. Copyright © 2014 Elsevier Inc. All rights reserved.

  18. Renewable Resources: a national catalog of model projects. Volume 4. Western Solar Utilization Network Region

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-07-01

    This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Western Solar Utilization Network Region. (WHK)

  19. Economic assessment of utilizing protective properties of level coal seams

    Energy Technology Data Exchange (ETDEWEB)

    Bakhtin, A.F.; Batmanov, Yu.K.; Gainutdinov, I.A.

    1982-12-01

    Increasing mining depth negatively influences mining efficiency and safety. At depths to 600 m 10% of coal comes from seams prone to rock bursts. At depths exceeding 600 m proportion of coal from seams prone to rock bursts increases to 40%. Investigations carried out in Ukrainian coal mines show that coal losses (due to rock burst hazard) in level seams mined by a longwall system amount to 4.6 Mt per year. Cost of rock burst prevention and repairs after rock bursts amounts to 12 million rubles per year. About 68% of coal from level coal seams comes from long coal pillars mined by a longwall system. In level coal seams prone to rock bursts this proportion is 40% lower (proportion of longwall mining is reduced due to increased rock burst hazards). Only 10% of coal seams prone to rock bursts are mined using a system of stress relaxation by cutting another overlying or underlying coal seam (utilizing protective properties of a coal seam). A method for economic analysis of protective properties of coal seams in seam groups is described. Using the method the optimum order of mining coal seams in a seam group is determined. Examples of the method's use are analyzed. (3 refs.) (In Russian)

  20. Assessing the utility and limitations of high throughput virtual screening

    Directory of Open Access Journals (Sweden)

    Paul Daniel Phillips

    2016-05-01

    Full Text Available Due to low cost, speed, and unmatched ability to explore large numbers of compounds, high throughput virtual screening and molecular docking engines have become widely utilized by computational scientists. It is generally accepted that docking engines, such as AutoDock, produce reliable qualitative results for ligand-macromolecular receptor binding, and molecular docking results are commonly reported in literature in the absence of complementary wet lab experimental data. In this investigation, three variants of the sixteen amino acid peptide, α-conotoxin MII, were docked to a homology model of the a3β2-nicotinic acetylcholine receptor. DockoMatic version 2.0 was used to perform a virtual screen of each peptide ligand to the receptor for ten docking trials consisting of 100 AutoDock cycles per trial. The results were analyzed for both variation in the calculated binding energy obtained from AutoDock, and the orientation of bound peptide within the receptor. The results show that, while no clear correlation exists between consistent ligand binding pose and the calculated binding energy, AutoDock is able to determine a consistent positioning of bound peptide in the majority of trials when at least ten trials were evaluated.

  1. Performance Standards': Utility for Different Uses of Assessments

    Directory of Open Access Journals (Sweden)

    Robert L. Linn

    2003-09-01

    Full Text Available Performance standards are arguably one of the most controversial topics in educational measurement. There are uses of assessments such as licensure and certification where performance standards are essential. There are many other uses, however, where performance standards have been mandated or become the preferred method of reporting assessment results where the standards are not essential to the use. Distinctions between essential and nonessential uses of performance standards are discussed. It is argued that the insistence on reporting in terms of performance standards in situations where they are not essential has been more harmful than helpful. Variability in the definitions of proficient academic achievement by states for purposes of the No Child Left Behind Act of 2001 is discussed and it is argued that the variability is so great that characterizing achievement is meaningless. Illustrations of the great uncertainty in standards are provided.

  2. Risk assessment and cost-effectiveness/utility analysis.

    Science.gov (United States)

    Busch, Michael; Walderhaug, Mark; Custer, Brian; Allain, Jean-Pierre; Reddy, Ravi; McDonough, Brian

    2009-04-01

    Decision-makers at all levels of public health and transfusion medicine have always assessed the risks and benefits of their decisions. Decisions are usually guided by immediately available information and a significant amount of experience and judgment. For decisions concerning familiar situations and common problems, judgment and experience may work quite well, but this type of decision process can lack clarity and accountability. Public health challenges are changing as emerging diseases and expensive technologies complicate the decision-makers' task, confronting the decision-maker with new problems that include multiple potential solutions. Decisions regarding policies and adoption of technologies are particularly complex in transfusion medicine due to the scope of the field, implications for public health, and legal, regulatory and public expectations regarding blood safety. To assist decision-makers, quantitative risk assessment and cost-effectiveness analysis are now being more widely applied. This set of articles will introduce risk assessment and cost-effectiveness methodologies and discuss recent applications of these methods in transfusion medicine.

  3. Graph theory network function in Parkinson's disease assessed with electroencephalography.

    Science.gov (United States)

    Utianski, Rene L; Caviness, John N; van Straaten, Elisabeth C W; Beach, Thomas G; Dugger, Brittany N; Shill, Holly A; Driver-Dunckley, Erika D; Sabbagh, Marwan N; Mehta, Shyamal; Adler, Charles H; Hentz, Joseph G

    2016-05-01

    To determine what differences exist in graph theory network measures derived from electroencephalography (EEG), between Parkinson's disease (PD) patients who are cognitively normal (PD-CN) and matched healthy controls; and between PD-CN and PD dementia (PD-D). EEG recordings were analyzed via graph theory network analysis to quantify changes in global efficiency and local integration. This included minimal spanning tree analysis. T-tests and correlations were used to assess differences between groups and assess the relationship with cognitive performance. Network measures showed increased local integration across all frequency bands between control and PD-CN; in contrast, decreased local integration occurred in PD-D when compared to PD-CN in the alpha1 frequency band. Differences found in PD-MCI mirrored PD-D. Correlations were found between network measures and assessments of global cognitive performance in PD. Our results reveal distinct patterns of band and network measure type alteration and breakdown for PD, as well as with cognitive decline in PD. These patterns suggest specific ways that interaction between cortical areas becomes abnormal and contributes to PD symptoms at various stages. Graph theory analysis by EEG suggests that network alteration and breakdown are robust attributes of PD cortical dysfunction pathophysiology. Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

  4. Assessment of net lost revenue adjustment mechanisms for utility DSM programs

    Energy Technology Data Exchange (ETDEWEB)

    Baxter, L.W.

    1995-01-01

    Utility shareholders can lose money on demand-side management (DSM) investments between rate cases. Several industry analysts argue that the revenues lost from utility DSM programs are an important financial disincentive to utility DSM investment. A key utility regulatory reform undertaken since 1989 allows utilities to recover the lost revenues incurred through successful operation of DSM programs. Explicitly defined net lost revenue adjustment (NLRA) mechanisms are states` preferred approach to lost revenue recovery from DSM programs. This report examines the experiences states and utilities are having with the NLRA approach. The report has three objectives. First, we determine whether NLRA is a feasible and successful approach to removing the lost-revenue disincentive to utility operation of DSM programs. Second, we identify the conditions linked to successful implementation of NLRA mechanisms in different states and assess whether NLRA has changed utility investment behavior. Third, we suggest improvements to NLRA mechanisms. We first identify states with NLRA mechanisms where utilities are recovering lost revenues from DSM programs. We interview staff at regulatory agencies in all these states and utility staff in four states. These interviews focus on the status of NLRA, implementation issues, DSM measurement issues, and NLRA results. We also analyze regulatory agency orders on NLRA, as well as associated testimony, reports, and utility lost revenue recovery filings. Finally, we use qualitative and quantitative indicators to assess NLRA`s effectiveness. Contrary to the concerns raised by some industry analysts, our results indicate NLRA is a feasible approach to the lost-revenue disincentive.

  5. Assessing state-level active living promotion using network analysis.

    Science.gov (United States)

    Buchthal, Opal Vanessa; Taniguchi, Nicole; Iskandar, Livia; Maddock, Jay

    2013-01-01

    Physical inactivity is a growing problem in the United States, one that is being addressed through the development of active living communities. However, active living promotion requires collaboration among organizations that may not have previously shared goals. A network analysis was conducted to assess Hawaii's active living promotion network. Twenty-six organizations playing a significant role in promoting active living in Hawaii were identified and surveyed about their frequency of contact, level of collaboration, and funding flow with other agencies. A communication network was identified linking all agencies. This network had many long pathways, impeding information flow. The Department of Health (DOH) and the State Nutrition and Physical Activity Coalition (NPAC) were central nodes, but DOH connected state agencies while NPAC linked county and voluntary organizations. Within the network, information sharing was common, but collaboration and formal partnership were low. Linkages between county and state agencies, between counties, and between state agencies with different core agendas were particularly low. Results suggest that in the early stages of development, active living networks may be divided by geography and core missions, requiring work to bridge these divides. Network mapping appears helpful in identifying areas for network development.

  6. A Security Assessment Mechanism for Software-Defined Networking-Based Mobile Networks

    Directory of Open Access Journals (Sweden)

    Shibo Luo

    2015-12-01

    Full Text Available Software-Defined Networking-based Mobile Networks (SDN-MNs are considered the future of 5G mobile network architecture. With the evolving cyber-attack threat, security assessments need to be performed in the network management. Due to the distinctive features of SDN-MNs, such as their dynamic nature and complexity, traditional network security assessment methodologies cannot be applied directly to SDN-MNs, and a novel security assessment methodology is needed. In this paper, an effective security assessment mechanism based on attack graphs and an Analytic Hierarchy Process (AHP is proposed for SDN-MNs. Firstly, this paper discusses the security assessment problem of SDN-MNs and proposes a methodology using attack graphs and AHP. Secondly, to address the diversity and complexity of SDN-MNs, a novel attack graph definition and attack graph generation algorithm are proposed. In order to quantify security levels, the Node Minimal Effort (NME is defined to quantify attack cost and derive system security levels based on NME. Thirdly, to calculate the NME of an attack graph that takes the dynamic factors of SDN-MN into consideration, we use AHP integrated with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS as the methodology. Finally, we offer a case study to validate the proposed methodology. The case study and evaluation show the advantages of the proposed security assessment mechanism.

  7. A Security Assessment Mechanism for Software-Defined Networking-Based Mobile Networks.

    Science.gov (United States)

    Luo, Shibo; Dong, Mianxiong; Ota, Kaoru; Wu, Jun; Li, Jianhua

    2015-12-17

    Software-Defined Networking-based Mobile Networks (SDN-MNs) are considered the future of 5G mobile network architecture. With the evolving cyber-attack threat, security assessments need to be performed in the network management. Due to the distinctive features of SDN-MNs, such as their dynamic nature and complexity, traditional network security assessment methodologies cannot be applied directly to SDN-MNs, and a novel security assessment methodology is needed. In this paper, an effective security assessment mechanism based on attack graphs and an Analytic Hierarchy Process (AHP) is proposed for SDN-MNs. Firstly, this paper discusses the security assessment problem of SDN-MNs and proposes a methodology using attack graphs and AHP. Secondly, to address the diversity and complexity of SDN-MNs, a novel attack graph definition and attack graph generation algorithm are proposed. In order to quantify security levels, the Node Minimal Effort (NME) is defined to quantify attack cost and derive system security levels based on NME. Thirdly, to calculate the NME of an attack graph that takes the dynamic factors of SDN-MN into consideration, we use AHP integrated with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) as the methodology. Finally, we offer a case study to validate the proposed methodology. The case study and evaluation show the advantages of the proposed security assessment mechanism.

  8. Automated Assessment of Hemodynamics in the Conjunctival Microvasculature Network.

    Science.gov (United States)

    Khansari, Maziyar M; Wanek, Justin; Felder, Anthony E; Camardo, Nicole; Shahidi, Mahnaz

    2016-02-01

    The conjunctival microcirculation is accessible for direct visualization and quantitative assessment of microvascular hemodynamic properties. Currently available methods to assess hemodynamics in the conjunctival microvasculature use manual or semi-automated algorithms, which can be inefficient for application to a large number of microvessels within the microvascular network. We present an automated image analysis method for measurements of diameter and blood velocity in microvessels. The method was applied to conjunctival microcirculation images acquired in 15 healthy human subjects. Frangi filtering, thresholding, and morphological closing were applied to automatically segment microvessels, while variance filtering was used to detect blood flow. Diameter and blood velocity were measured in arterioles and venules within the conjunctival microvascular network, and blood flow and wall shear rate were calculated. Repeatability and validity of hemodynamic measurements were established. The automated image analysis method allows reliable, rapid and quantitative assessment of hemodynamics in the conjunctival microvascular network and can be potentially applied to microcirculation images of other tissues.

  9. Utilizing a Health Impact Assessment (HIA) to Connect Natural ...

    Science.gov (United States)

    Marrying scientific and health research with natural resource management should be a straightforward process. However, differences in purpose, goals, language, levels of detail and implementation authority between the scientists who conduct research and resource managers who plan and implement projects make it difficult for resource managers to include information not specific to the problem at hand. One method to overcome this barrier is a Health Impact Assessment (HIA) or process that uses scientific data, health expertise and public input to factor public health considerations into the decision-making process. An HIA informs decision makers and stakeholders of the potential health effects of a proposed program, policy, project or plan through a systematic investigation of impacts to health and health determinants and deliberative engagement of community members and other stakeholders throughout the HIA process. USEPA will be conducting an HIA on the Minnesota Department of Natural Resources’ sediment remediation and habitat restoration project at Kingsbury Bay and Grassy Point. This poster outlines the HIA process, illustrates how technical and stakeholder committees inform the process, and presents the determinants of health that will be explored in the HIA. This poster will illustrate how a Health Impact Assessment, a process that uses scientific data, health expertise and public input to factor public health considerations into the decision-making proces

  10. Health impact assessment of cycling network expansions in European cities.

    Science.gov (United States)

    Mueller, Natalie; Rojas-Rueda, David; Salmon, Maëlle; Martinez, David; Ambros, Albert; Brand, Christian; de Nazelle, Audrey; Dons, Evi; Gaupp-Berghausen, Mailin; Gerike, Regine; Götschi, Thomas; Iacorossi, Francesco; Int Panis, Luc; Kahlmeier, Sonja; Raser, Elisabeth; Nieuwenhuijsen, Mark

    2018-01-09

    We conducted a health impact assessment (HIA) of cycling network expansions in seven European cities. We modeled the association between cycling network length and cycling mode share and estimated health impacts of the expansion of cycling networks. First, we performed a non-linear least square regression to assess the relationship between cycling network length and cycling mode share for 167 European cities. Second, we conducted a quantitative HIA for the seven cities of different scenarios (S) assessing how an expansion of the cycling network [i.e. 10% (S1); 50% (S2); 100% (S3), and all-streets (S4)] would lead to an increase in cycling mode share and estimated mortality impacts thereof. We quantified mortality impacts for changes in physical activity, air pollution and traffic incidents. Third, we conducted a cost-benefit analysis. The cycling network length was associated with a cycling mode share of up to 24.7% in European cities. The all-streets scenario (S4) produced greatest benefits through increases in cycling for London with 1,210 premature deaths (95% CI: 447-1,972) avoidable annually, followed by Rome (433; 95% CI: 170-695), Barcelona (248; 95% CI: 86-410), Vienna (146; 95% CI: 40-252), Zurich (58; 95% CI: 16-100) and Antwerp (7; 95% CI: 3-11). The largest cost-benefit ratios were found for the 10% increase in cycling networks (S1). If all 167 European cities achieved a cycling mode share of 24.7% over 10,000 premature deaths could be avoided annually. In European cities, expansions of cycling networks were associated with increases in cycling and estimated to provide health and economic benefits. Copyright © 2018 Elsevier Inc. All rights reserved.

  11. Clinical utility of regadenoson for assessing fractional flow reserve.

    Science.gov (United States)

    Nair, Pradeep K; Marroquin, Oscar C; Mulukutla, Suresh R; Khandhar, Sameer; Gulati, Vijay; Schindler, John T; Lee, Joon S

    2011-10-01

    The aim of this study was to evaluate the efficacy of regadenoson, in comparison with adenosine, for assessing fractional flow reserve (FFR) of intermediate coronary artery stenoses (CAS). Fractional flow reserve is an established invasive method for assessing the physiological significance of CAS. Regadenoson, a selective A(2A) receptor agonist, is an approved hyperemic agent for pharmacological stress imaging, but its role for measuring FFR is unknown. This prospective, single-center study enrolled 25 consecutive patients with intermediate CAS discovered during elective angiography (25 lesions). In each patient, FFR of the CAS was measured first by IV adenosine (140 μg/kg/min), followed by IV regadenoson (400 μg bolus). The intrapatient FFR correlation between adenosine and regadenoson was evaluated. The mean age was 63 ± 11 years, and mean left ventricular ejection fraction was 58 ± 11%. Most patients were male (52%) and had hypertension (84%) and dyslipidemia (84%), with 24% having diabetes mellitus and 20% chronic obstructive pulmonary disease. The CAS was visually estimated during angiography (mean 58 ± 9%) and most often found in the left anterior descending coronary artery (48%). A strong, linear correlation of FFR was noted with adenosine and regadenoson (r = 0.985, p regadenoson. No serious events occurred with administration of either drug. Our results suggest that a single IV bolus of regadenoson is as effective as an intravenous infusion of adenosine for measuring FFR and, given its ease of use, should be considered for FFR measurement in the catheterization laboratory. Copyright © 2011 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  12. The mediating role of training utility in the relationship between training needs assessment and organizational effectiveness

    NARCIS (Netherlands)

    van Eerde, W.; Tang, K.C.S.; Talbot, G.

    2008-01-01

    In a survey among respondents from 96 organizations, we found that the utility of training partially mediated the relationship between Training Needs Assessment (TNA) comprehensiveness and the effectiveness of the organization. We did not find an effect of training quantity on training utility and

  13. Assessment of Multiple Physician Competencies in Postgraduate Training: Utility of the Structured Oral Examination

    Science.gov (United States)

    Jefferies, Ann; Simmons, Brian; Ng, Eugene; Skidmore, Martin

    2011-01-01

    Competency based medical education involves assessing physicians-in-training in multiple roles. Training programs are challenged by the need to introduce appropriate yet feasible assessment methods. We therefore examined the utility of a structured oral examination (SOE) in the assessment of the 7 CanMEDS roles (Medical Expert, Communicator,…

  14. Ophthalmic patients' utilization of technology and social media: an assessment to improve quality of care.

    Science.gov (United States)

    Aleo, Chelsea L; Hark, Lisa; Leiby, Benjamin; Dai, Yang; Murchison, Ann P; Martinez, Patricia; Haller, Julia A

    2014-10-01

    E-health tools have the potential to improve the quality of care for ophthalmic patients, many of whom have chronic conditions. However, little research has assessed ophthalmic patients' use or acceptance of technological devices and social media platforms for health-related purposes. The present study evaluated utilization of technological devices and social media platforms by eye clinic patients, as well as their willingness to receive health reminders through these technologies. A 31-item paper questionnaire was administered to eye clinic patients (n=843) at an urban, tertiary-care center. Questions focused on technology ownership, comfort levels, frequency of use, and preferences for receiving health reminders. Demographic data were also recorded. Eye clinic patients most commonly owned cellular phones (90%), landline phones (81%), and computers (80%). Overall, eye clinic patients preferred to receive health reminders through phone calls and e-mail and used these technologies frequently and with a high level of comfort. Less than 3% of patients preferred using social networking to receive health reminders. In addition, age was significantly associated with technology ownership, comfort level, and frequency of use (ptechnologies more frequently and with a higher comfort level (ptechnologies for appointment reminders, general eye and vision health information, asking urgent medical questions, and requesting prescription refills. Future controlled trials could further explore the efficacy of e-health tools for these purposes.

  15. Unifying View on Min-Max Fairness, Max-Min Fairness, and Utility Optimization in Cellular Networks

    Directory of Open Access Journals (Sweden)

    Stanczak Slawomir

    2007-01-01

    Full Text Available We are concerned with the control of quality of service (QoS in wireless cellular networks utilizing linear receivers. We investigate the issues of fairness and total performance, which are measured by a utility function in the form of a weighted sum of link QoS. We disprove the common conjecture on incompatibility of min-max fairness and utility optimality by characterizing network classes in which both goals can be accomplished concurrently. We characterize power and weight allocations achieving min-max fairness and utility optimality and show that they correspond to saddle points of the utility function. Next, we address the problem of the difference between min-max fairness and max-min fairness. We show that in general there is a (fairness gap between the performance achieved under min-max fairness and under max-min fairness. We characterize the network class for which both performance values coincide. Finally, we characterize the corresponding network subclass, in which both min-max fairness and max-min fairness are achievable by the same power allocation.

  16. Assessing global resource utilization efficiency in the industrial sector.

    Science.gov (United States)

    Rosen, Marc A

    2013-09-01

    Designing efficient energy systems, which also meet economic, environmental and other objectives and constraints, is a significant challenge. In a world with finite natural resources and large energy demands, it is important to understand not just actual efficiencies, but also limits to efficiency, as the latter identify margins for efficiency improvement. Energy analysis alone is inadequate, e.g., it yields energy efficiencies that do not provide limits to efficiency. To obtain meaningful and useful efficiencies for energy systems, and to clarify losses, exergy analysis is a beneficial and useful tool. Here, the global industrial sector and industries within it are assessed by using energy and exergy methods. The objective is to improve the understanding of the efficiency of global resource use in the industrial sector and, with this information, to facilitate the development, prioritization and ultimate implementation of rational improvement options. Global energy and exergy flow diagrams for the industrial sector are developed and overall efficiencies for the global industrial sector evaluated as 51% based on energy and 30% based on exergy. Consequently, exergy analysis indicates a less efficient picture of energy use in the global industrial sector than does energy analysis. A larger margin for improvement exists from an exergy perspective, compared to the overly optimistic margin indicated by energy. Copyright © 2012 Elsevier B.V. All rights reserved.

  17. Utilizing a Health Impact Assessment (HIA) to Connect Natural ...

    Science.gov (United States)

    Marrying scientific and health research with natural resource management should be a straightforward process. However, differences in purpose, goals, language, levels of detail and implementation authority between the scientists who conduct research and resource managers who plan and implement projects make it difficult for resource managers to include information not specific to the problem at hand. One method to overcome this barrier is a Health Impact Assessment (HIA) or process that uses scientific data, health expertise and public input to factor public health considerations into the decision-making process. An HIA informs decision makers and stakeholders of the potential health effects of a proposed program, policy, project or plan through a systematic investigation of impacts to health and health determinants and deliberative engagement of community members and other stakeholders throughout the HIA process. USEPA will be conducting an HIA on the Minnesota Department of Natural Resources’ sediment remediation and habitat restoration project at Kingsbury Bay and Grassy Point. This poster outlines the HIA process, illustrates how technical and stakeholder committees inform the process, and presents the determinants of health that will be explored in the HIA. not applicable

  18. Assessing De Novo transcriptome assembly metrics for consistency and utility.

    Science.gov (United States)

    O'Neil, Shawn T; Emrich, Scott J

    2013-07-09

    Transcriptome sequencing and assembly represent a great resource for the study of non-model species, and many metrics have been used to evaluate and compare these assemblies. Unfortunately, it is still unclear which of these metrics accurately reflect assembly quality. We simulated sequencing transcripts of Drosophila melanogaster. By assembling these simulated reads using both a "perfect" and a modern transcriptome assembler while varying read length and sequencing depth, we evaluated quality metrics to determine whether they 1) revealed perfect assemblies to be of higher quality, and 2) revealed perfect assemblies to be more complete as data quantity increased.Several commonly used metrics were not consistent with these expectations, including average contig coverage and length, though they became consistent when singletons were included in the analysis. We found several annotation-based metrics to be consistent and informative, including contig reciprocal best hit count and contig unique annotation count. Finally, we evaluated a number of novel metrics such as reverse annotation count, contig collapse factor, and the ortholog hit ratio, discovering that each assess assembly quality in unique ways. Although much attention has been given to transcriptome assembly, little research has focused on determining how best to evaluate assemblies, particularly in light of the variety of options available for read length and sequencing depth. Our results provide an important review of these metrics and give researchers tools to produce the highest quality transcriptome assemblies.

  19. Assessment of a national network: the case of the French teacher training colleges' health education network.

    Science.gov (United States)

    Guével, Marie-Renée; Jourdan, Didier

    2009-06-01

    The French teacher training colleges' health education (HE) network was set up in 2005 to encourage the inclusion of HE in courses for primary and secondary school teachers. A systematic process of monitoring the activity and the impact of this initiative was implemented. This analysis was systematically compared with the perceptions of teaching staff involved in the network. This paper assesses the network after 2 years using documents produced and interviews with 24 coordinators. Twenty-nine teacher training colleges out of a total of 31 are involved in the network. The network has helped to create links between teacher training colleges, extend HE training and encourage partnerships with other public health organizations. By 2007, HE was included in courses offered by 19 teacher training colleges as opposed to only 3 in 2005. This study not only showed the positive impact of the network but also revealed issues in its management and presented new challenges to ensure the effectiveness of the network. The network has succeeded in attracting and training trainers who were already providing or were interested in HE. Reaching other trainers who are not familiar with HE remains a challenge for the future.

  20. Systematic network assessment of the carcinogenic activities of cadmium.

    Science.gov (United States)

    Chen, Peizhan; Duan, Xiaohua; Li, Mian; Huang, Chao; Li, Jingquan; Chu, Ruiai; Ying, Hao; Song, Haiyun; Jia, Xudong; Ba, Qian; Wang, Hui

    2016-11-01

    Cadmium has been defined as type I carcinogen for humans, but the underlying mechanisms of its carcinogenic activity and its influence on protein-protein interactions in cells are not fully elucidated. The aim of the current study was to evaluate, systematically, the carcinogenic activity of cadmium with systems biology approaches. From a literature search of 209 studies that performed with cellular models, 208 proteins influenced by cadmium exposure were identified. All of these were assessed by Western blotting and were recognized as key nodes in network analyses. The protein-protein functional interaction networks were constructed with NetBox software and visualized with Cytoscape software. These cadmium-rewired genes were used to construct a scale-free, highly connected biological protein interaction network with 850 nodes and 8770 edges. Of the network, nine key modules were identified and 60 key signaling pathways, including the estrogen, RAS, PI3K-Akt, NF-κB, HIF-1α, Jak-STAT, and TGF-β signaling pathways, were significantly enriched. With breast cancer, colorectal and prostate cancer cellular models, we validated the key node genes in the network that had been previously reported or inferred form the network by Western blotting methods, including STAT3, JNK, p38, SMAD2/3, P65, AKT1, and HIF-1α. These results suggested the established network was robust and provided a systematic view of the carcinogenic activities of cadmium in human. Copyright © 2016 Elsevier Inc. All rights reserved.

  1. Utility of two methodologies in the clinical assessment of oral dryness in postmenopausal women

    Directory of Open Access Journals (Sweden)

    Rachita Kodandera Chengappa

    2016-01-01

    Conclusion: A good correlation of CODS with sialometry scores indicates that CODS can be utilized for semiquantitative assessment of oral dryness. It appears that UWS has poor correlation with duration of menopause. Xerostomia and UWS were not significantly related.

  2. Near-Port Air Quality Assessment Utilizing a Mobile Monitoring Approach

    Data.gov (United States)

    U.S. Environmental Protection Agency — Near-Port Air Quality Assessment Utilizing a Mobile Monitoring Approach. This dataset is associated with the following publication: Steffens, J., S. Kimbrough, R....

  3. Experimental Performance Evaluation of Multihop IEEE 802.15.4/4g/4e Smart Utility Networks in Outdoor Environment

    Directory of Open Access Journals (Sweden)

    Chin-Sean Sum

    2017-01-01

    Full Text Available This paper presents the experimental performance evaluation results of the IEEE 802.15.4/4g/4e Smart Utility Networks (SUN in applications suited for outdoor environment. SUN is an advanced wireless communications network designed for reliable, low data rate, and low energy consumption networks for command-and-control applications like utility service, sensor network, and so on. IEEE 802.15.4g/4e is the international standard for SUN supported by multiple utility providers and product vendors. In this paper, a comprehensive field test was conducted by employing the implementation we have developed to evaluate the performance of the SUN devices based on IEEE 802.15.4/4g/4e standard. The output power of the implementation is 250 mW for extended range, reducible to 20 mW for short-range scalability and battery preservation. Results showed that in an outdoor line-of-sight environment, the achievable one-hop range of a 50 kbps SUN device was 450 m. Next, in a non-line-of-sight environment involving typical residential concrete building, the communications could be established penetrating obstructions to reach above the 11th storey, reaching the performance degradation limits at the 20th storey. Next, the network of the SUN system was proven to be capable of supporting a typical multihop tree network in a dense populated building, meeting the required performance by the standard.

  4. Public utilities in networks: competition perspectives and new regulations; Services publics en reseau: perspectives de concurrence et nouvelles regulations

    Energy Technology Data Exchange (ETDEWEB)

    Bergougnoux, J

    2000-07-01

    This report makes first a status about the historical specificities, the present day situation and the perspectives of evolution of public utilities in networks with respect to the European directive of 1996 and to the 4 sectors of electricity, gas, railway transport and postal service. Then, it wonders about the new institutions and regulation procedures to implement to conciliate the public utility mission with the honest competition. (J.S.)

  5. Rainwater harvesting, quality assessment and utilization in Kefalonia Island, Greece.

    Science.gov (United States)

    Sazakli, E; Alexopoulos, A; Leotsinidis, M

    2007-05-01

    The quality of harvested rainwater which is used for domestic and drinking purposes in the northern area of Kefalonia Island in SW Greece and the factors affecting it were assessed through 3-year surveillance. In 12 seasonal samplings, 156 rainwater and 144 ground- or mixed water samples were collected from ferroconcrete storage tanks (300-1000 m3 capacity), which are adjacent to cement-paved catchment areas (600-3000 m2). Common anions and major cations as well as the metals Fe, Mn, Cd, Pb, Cu, Cr, Ni and Zn were tested. The presence of three major groups of organic compounds, polycyclic aromatic hydrocarbons (PAHs), organochloride pesticides (OCPs) and volatile organic compounds (VOCs), was screened by common analytical techniques. All of the rainwater samples were within the guidelines for chemical parameters established by the 98/93/EU directive. As far as microbiological quality is concerned, total coliforms, Escherichia coli and enterococci were detected in 80.3%, 40.9% and 28.8% of the rainwater samples, respectively, although they were found in low concentrations. Chemical and microbiological parameters showed seasonal fluctuations. Principal component analysis revealed that microbiological parameters were affected mainly by the cleanness level of catchment areas, while chemical parameters were influenced by the sea proximity and human activities. Disinfection should be applied into the tanker trucks which distribute the water to the consumers and not into the big storage tanks in order to avoid by-products formation. Due to the lack of fluoride in rainwater samples, the consumers must become aware of the fact that the supplementation of this element is needed.

  6. Rail passengers’ time use and utility assessment: 2010 findings from Great Britain with multivariate analysis

    OpenAIRE

    Susilo , Yusak O.; Lyons, Glenn; Jain, Juliet; Atkins, Steve

    2013-01-01

    Using data from Great Britain’s National Passenger Survey 2010 this paper examines the travel time use of rail passengers and their indicative assessment of its utility. The paper explores the impacts of individuals’ socio demographic characteristics, types of activity undertaken and the perceived difficulties that may be faced by the travellers on their assessment of travel time use utility. The study shows that only 13% of travellers considered their travel time as wasted. However, this var...

  7. Digest of "Utilization of Electric Vehicles Connected to Distribution Substations for Peak Shaving of Utility Network Loads"

    OpenAIRE

    Mägi, Marek

    2013-01-01

    Use of modern electric vehicles and their effective integration into power grids depends on the technologies applied around distribution substations. Distribution substations equipped with energy storing and V2G capability enable peak load shaving and demand response, which will reduce the need to make new investments into building new power sources or power grids to meet peak demand. This paper presents a distribution substation topology for utilizing electric vehicles as energy resource uni...

  8. Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification

    Directory of Open Access Journals (Sweden)

    Yaki Stern

    2016-12-01

    Full Text Available The purpose of this study was to introduce an improved tool for automated classification of event-related potentials (ERPs using spatiotemporally parcellated events incorporated into a functional brain network activation (BNA analysis. The auditory oddball ERP paradigm was selected to demonstrate and evaluate the improved tool. Methods: The ERPs of each subject were decomposed into major dynamic spatiotemporal events. Then, a set of spatiotemporal events representing the group was generated by aligning and clustering the spatiotemporal events of all individual subjects. The temporal relationship between the common group events generated a network, which is the spatiotemporal reference BNA model. Scores were derived by comparing each subject’s spatiotemporal events to the reference BNA model and were then entered into a support vector machine classifier to classify subjects into relevant subgroups. The reliability of the BNA scores (test-retest repeatability using intraclass correlation and their utility as a classification tool were examined in the context of Target-Novel classification. Results: BNA intraclass correlation values of repeatability ranged between 0.51 and 0.82 for the known ERP components N100, P200 and P300. Classification accuracy was high when the trained data were validated on the same subjects for different visits (AUCs 0.93 and 0.95. The classification accuracy remained high for a test group recorded at a different clinical center with a different recording system (AUCs 0.81, 0.85 for 2 visits. Conclusion: The improved spatiotemporal BNA analysis demonstrates high classification accuracy. The BNA analysis method holds promise as a tool for diagnosis, follow-up and drug development associated with different neurological conditions.

  9. Methodologies for assessing the use-phase power consumption and greenhouse gas emissions of telecommunications network services.

    Science.gov (United States)

    Chan, Chien A; Gygax, André F; Wong, Elaine; Leckie, Christopher A; Nirmalathas, Ampalavanapillai; Kilper, Daniel C

    2013-01-02

    Internet traffic has grown rapidly in recent years and is expected to continue to expand significantly over the next decade. Consequently, the resulting greenhouse gas (GHG) emissions of telecommunications service-supporting infrastructures have become an important issue. In this study, we develop a set of models for assessing the use-phase power consumption and carbon dioxide emissions of telecom network services to help telecom providers gain a better understanding of the GHG emissions associated with the energy required for their networks and services. Due to the fact that measuring the power consumption and traffic in a telecom network is a challenging task, these models utilize different granularities of available network information. As the granularity of the network measurement information decreases, the corresponding models have the potential to produce larger estimation errors. Therefore, we examine the accuracy of these models under various network scenarios using two approaches: (i) a sensitivity analysis through simulations and (ii) a case study of a deployed network. Both approaches show that the accuracy of the models depends on the network size, the total amount of network service traffic (i.e., for the service under assessment), and the number of network nodes used to process the service.

  10. Content Validation and Utility of a Critical Reflective Inquiry Assessment Tool.

    Science.gov (United States)

    Asselin, Marilyn E; Fain, James A

    2016-01-01

    A Critical Reflective Inquiry (CRI) Assessment Tool was developed based on the CRI Model to assess reflection in nursing practice. Experienced clinicians evaluated the CRI Assessment for clarity and relevance to the CRI Model and nursing practice utility. Content validity index was calculated for each item in the scale and then averaged across all items. The tool has potential in education and orientation for assessing the depth and focus of reflection and what is learned.

  11. Landscape genetics for the empirical assessment of resistance surfaces: The European pine marten (Martes martes) as a target-species of a regional ecological network

    Science.gov (United States)

    Aritz Ruiz-Gonzalez; Mikel Gurrutxaga; Samuel A. Cushman; Maria Jose Madeira; Ettore Randi; Benjamin J. Gomez-Moliner

    2014-01-01

    Coherent ecological networks (EN) composed of core areas linked by ecological corridors are being developed worldwide with the goal of promoting landscape connectivity and biodiversity conservation. However, empirical assessment of the performance of EN designs is critical to evaluate the utility of these networks to mitigate effects of habitat loss and...

  12. College Health Surveillance Network: Epidemiology and Health Care Utilization of College Students at US 4-Year Universities

    Science.gov (United States)

    Turner, James C.; Keller, Adrienne

    2015-01-01

    Objective: This description of the College Health Surveillance Network (CHSN) includes methodology, demography, epidemiology, and health care utilization. Participants: Twenty-three universities representing approximately 730,000 enrolled students contributed data from January 1, 2011, through May 31, 2014. Methods: Participating schools uploaded…

  13. Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses

    Science.gov (United States)

    Dinov, Ivo D.; Sanchez, Juana; Christou, Nicolas

    2009-01-01

    Technology-based instruction represents a new recent pedagogical paradigm that is rooted in the realization that new generations are much more comfortable with, and excited about, new technologies. The rapid technological advancement over the past decade has fueled an enormous demand for the integration of modern networking, informational and computational tools with classical pedagogical instruments. Consequently, teaching with technology typically involves utilizing a variety of IT and multimedia resources for online learning, course management, electronic course materials, and novel tools of communication, engagement, experimental, critical thinking and assessment. The NSF-funded Statistics Online Computational Resource (SOCR) provides a number of interactive tools for enhancing instruction in various undergraduate and graduate courses in probability and statistics. These resources include online instructional materials, statistical calculators, interactive graphical user interfaces, computational and simulation applets, tools for data analysis and visualization. The tools provided as part of SOCR include conceptual simulations and statistical computing interfaces, which are designed to bridge between the introductory and the more advanced computational and applied probability and statistics courses. In this manuscript, we describe our designs for utilizing SOCR technology in instruction in a recent study. In addition, present the results of the effectiveness of using SOCR tools at two different course intensity levels on three outcome measures: exam scores, student satisfaction and choice of technology to complete assignments. Learning styles assessment was completed at baseline. We have used three very different designs for three different undergraduate classes. Each course included a treatment group, using the SOCR resources, and a control group, using classical instruction techniques. Our findings include marginal effects of the SOCR treatment per individual

  14. Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses.

    Science.gov (United States)

    Dinov, Ivo D; Sanchez, Juana; Christou, Nicolas

    2008-01-01

    Technology-based instruction represents a new recent pedagogical paradigm that is rooted in the realization that new generations are much more comfortable with, and excited about, new technologies. The rapid technological advancement over the past decade has fueled an enormous demand for the integration of modern networking, informational and computational tools with classical pedagogical instruments. Consequently, teaching with technology typically involves utilizing a variety of IT and multimedia resources for online learning, course management, electronic course materials, and novel tools of communication, engagement, experimental, critical thinking and assessment.The NSF-funded Statistics Online Computational Resource (SOCR) provides a number of interactive tools for enhancing instruction in various undergraduate and graduate courses in probability and statistics. These resources include online instructional materials, statistical calculators, interactive graphical user interfaces, computational and simulation applets, tools for data analysis and visualization. The tools provided as part of SOCR include conceptual simulations and statistical computing interfaces, which are designed to bridge between the introductory and the more advanced computational and applied probability and statistics courses. In this manuscript, we describe our designs for utilizing SOCR technology in instruction in a recent study. In addition, present the results of the effectiveness of using SOCR tools at two different course intensity levels on three outcome measures: exam scores, student satisfaction and choice of technology to complete assignments. Learning styles assessment was completed at baseline. We have used three very different designs for three different undergraduate classes. Each course included a treatment group, using the SOCR resources, and a control group, using classical instruction techniques. Our findings include marginal effects of the SOCR treatment per individual

  15. Identifying the Critical Links in Road Transportation Networks: Centrality-based approach utilizing structural properties

    Energy Technology Data Exchange (ETDEWEB)

    Chinthavali, Supriya [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2016-04-01

    Surface transportation road networks share structural properties similar to other complex networks (e.g., social networks, information networks, biological networks, and so on). This research investigates the structural properties of road networks for any possible correlation with the traffic characteristics such as link flows those determined independently. Additionally, we define a criticality index for the links of the road network that identifies the relative importance in the network. We tested our hypotheses with two sample road networks. Results show that, correlation exists between the link flows and centrality measures of a link of the road (dual graph approach is followed) and the criticality index is found to be effective for one test network to identify the vulnerable nodes.

  16. The Utility of the Montreal Cognitive Assessment as a Mental Capacity Assessment Tool for Patients with a Learning Disability

    Science.gov (United States)

    Edge, Daniel; Oyefeso, Adenekan; Evans, Carys; Evans, Amber

    2016-01-01

    Objective: To determine the psychometric properties of the Montreal Cognitive Assessment (MoCA) in patients with a learning disability and examine it's utility for conducting mental capacity assessment. Method: This study was a cross-sectional, instrument validation study in an inpatient hospital setting, located in the East of England. The sample…

  17. Assessment of Global Functioning in Adolescents with Autism Spectrum Disorders: Utility of the Developmental Disability-Child Global Assessment Scale

    Science.gov (United States)

    White, Susan W.; Smith, Laura A.; Schry, Amie R.

    2014-01-01

    Assessment of global functioning is an important consideration in treatment outcome research; yet, there is little guidance on its evidence-based assessment for children with autism spectrum disorders. This study investigated the utility and validity of clinician-rated global functioning using the Developmental Disability-Child Global Assessment…

  18. The significance of social network in a geriatric assessment population.

    Science.gov (United States)

    Keller, Brenda K; Magnuson, Thomas M; Cernin, Paul A; Stoner, Julie A; Potter, Jane F

    2003-12-01

    There has long been speculation that socially-involved individuals suffer less illness, overcome sickness more readily, and experience better health outcomes than more socially isolated persons. This study describes social network characteristics, and determines whether social network affects health outcomes in the geriatric population. Data from 1270 consecutive patients seen in the outpatient Geriatric Assessment Clinic (GAC) of the University of Nebraska Medical Center between August 1988 and May 1999 were analyzed. Social network was measured by the Social Network Index (SNI). Younger age, higher income and higher education were related to a broader social network. A larger social network was generally associated with lower caregiver burden, higher functional status and better cognition. Men with the smallest social networks were found to be at significantly higher risk of death than women with larger social networks (HR 4). After adjusting for age (HR 1.04, CI 1.03-1.06), income (HR 1.00, CI 1-1), education (HR, NS), IADL (HR 0.97, CI 0.95-0.99), CIRS (HR 1.08, CI 1.05-1.10) and informal service use (HR, NS), the risk of death for subjects based on SNI is only significant in the comparison between SNI III and SNI I (HR 0.67, CI 0.50-0.91). SNI I males are at significantly increased risk of death compared with all other groups. The average number of years from initial visit to death for SNI I males is only 2.8 years. These results are consistent with the literature, which suggests men are more affected by social isolation and have decreased survival compared with females. The influence of SNI on mortality in this frail, elderly group appears to be diluted by the presence of functional disability and a high degree of comorbid illness.

  19. The Innovation Network Scoreboard: Towards key Performance Indicators for the Assessment of Innovation Networks

    NARCIS (Netherlands)

    Kohl, Holger; Cap, Jan-Patrick; Blaich, Erik; von Raesfeld Meijer, Ariane M.; Dameri, R.P.; Garelli, R.; Resta, M.; Beltrametti, L.

    2015-01-01

    This work operationalizes a framework for the assessment of innovation networks. While a theoretical framework provides value to scholars, practitioners require concrete methods and indicators that they can apply to their projects. Scholars face the same demand when conducting empirical research.

  20. Geothermal energy in deep aquifers : A global assessment of the resource base for direct heat utilization

    NARCIS (Netherlands)

    Limberger, Jon; Boxem, Thijs; Pluymaekers, Maarten; Bruhn, D.F.; Manzella, Adele; Calcagno, Philippe; Beekman, Fred; Cloetingh, S.A.P.L.; van Wees, Jan Diederik

    2018-01-01

    In this paper we present results of a global resource assessment for geothermal energy within deep aquifers for direct heat utilization. Greenhouse heating, spatial heating, and spatial cooling are considered in this assessment. We derive subsurface temperatures from geophysical data and apply a

  1. Geothermal energy in deep aquifers: A global assessment of the resource base for direct heat utilization

    NARCIS (Netherlands)

    Limberger, J.; Boxem, T.; Pluymaekers, M.; Bruhn, D.; Manzella, A.; Calcagno, P.; Beekman, F.; Cloetingh, S.; Wees, J.D. van

    2018-01-01

    In this paper we present results of a global resource assessment for geothermal energy within deep aquifers for direct heat utilization. Greenhouse heating, spatial heating, and spatial cooling are considered in this assessment. We derive subsurface temperatures from geophysical data and apply a

  2. Geothermal energy in deep aquifers : A global assessment of the resource base for direct heat utilization

    NARCIS (Netherlands)

    Limberger, J.|info:eu-repo/dai/nl/371572037; Boxem, T.; Pluymaekers, Maarten; Bruhn, David; Manzella, Adelle; Calcagno, Philippe; Beekman, F.|info:eu-repo/dai/nl/123556856; Cloetingh, S.|info:eu-repo/dai/nl/069161836; van Wees, J.-D.

    In this paper we present results of a global resource assessment for geothermal energy within deep aquifers for direct heat utilization. Greenhouse heating, spatial heating, and spatial cooling are considered in this assessment. We derive subsurface temperatures from geophysical data and apply a

  3. Resource utilization implications of treatment were able to be assessed from appropriately reported clinical trial data

    NARCIS (Netherlands)

    Poole-Wilson, Philip A.; Kirwan, Bridget-Anne; Voko, Zoltan; de Brouwer, Sophie; Dunselman, Peter H. J. M.; van Dalen, Frederik J.; Lubsen, Jacobus

    Background and Objective: Published clinical trial data rarely allow assessment of the health care resource utilization implications of treatment. We give an example of how these can be assessed given appropriate tabulation of data. Methods: Data from a trial comparing long-acting nifedipine

  4. Theory and Utility-Key Themes in Evidence-Based Assessment: Comment on the Special Section

    Science.gov (United States)

    McFall, Richard M.

    2005-01-01

    This article focuses on two key themes in the four featured reviews on evidence-based assessment. The first theme is the essential role of theory in psychological assessment. An overview of this complex, multilayered role is presented. The second theme is the need for a common metric with which to gauge the utility of specific psychological tests…

  5. The Value of Sustainable Knowledge Transfer Methods for SMEs, Utilizing Socio-Technical Networks and Complex Systems

    Directory of Open Access Journals (Sweden)

    Susu Nousala

    2010-12-01

    Full Text Available This paper will examine the development of sustainable SME methods for tracking tacit (informal knowledge transfer as a series of networks of larger complex system. Understanding sustainable systems begins with valuing tacit knowledge networks and their ability to produce connections on multiple levels. The behaviour of the social or socio aspects of a system in relation to the explicit formal/physical structures need to be understood and actively considered when utilizing methodologies for interacting within complex systems structures. This paper utilizes theory from several previous studies to underpin the key case study discussed. This approach involved examining the behavioural phenomena of an SME knowledge network. The knowledge network elements were highlighted to identify their value within an SME structure. To understand the value of these emergent elements from between tacit and explicit knowledge networks, is to actively, simultaneously and continuous support sustainable development for SME organizations. The simultaneous links within and between groups of organizations is crucial for understanding sustainable networking structures of complex systems.

  6. The clinical utility of precision medicine: properly assessing the value of emerging diagnostic tests.

    Science.gov (United States)

    Shen, B; Hwang, J

    2010-12-01

    Assessments of the clinical utility of biomarkers and genomic tests often ignore individual utility and fail to account for downstream changes to the care delivery model. Tests that identify outliers are often undervalued in favor of those that help direct treatment for the "average" patient. By reducing uncertainty, these tests also enable lower-cost providers and even patients to assume increased responsibility for care in more convenient and affordable settings.

  7. An efficient grid layout algorithm for biological networks utilizing various biological attributes

    Directory of Open Access Journals (Sweden)

    Kato Mitsuru

    2007-03-01

    Full Text Available Abstract Background Clearly visualized biopathways provide a great help in understanding biological systems. However, manual drawing of large-scale biopathways is time consuming. We proposed a grid layout algorithm that can handle gene-regulatory networks and signal transduction pathways by considering edge-edge crossing, node-edge crossing, distance measure between nodes, and subcellular localization information from Gene Ontology. Consequently, the layout algorithm succeeded in drastically reducing these crossings in the apoptosis model. However, for larger-scale networks, we encountered three problems: (i the initial layout is often very far from any local optimum because nodes are initially placed at random, (ii from a biological viewpoint, human layouts still exceed automatic layouts in understanding because except subcellular localization, it does not fully utilize biological information of pathways, and (iii it employs a local search strategy in which the neighborhood is obtained by moving one node at each step, and automatic layouts suggest that simultaneous movements of multiple nodes are necessary for better layouts, while such extension may face worsening the time complexity. Results We propose a new grid layout algorithm. To address problem (i, we devised a new force-directed algorithm whose output is suitable as the initial layout. For (ii, we considered that an appropriate alignment of nodes having the same biological attribute is one of the most important factors of the comprehension, and we defined a new score function that gives an advantage to such configurations. For solving problem (iii, we developed a search strategy that considers swapping nodes as well as moving a node, while keeping the order of the time complexity. Though a naïve implementation increases by one order, the time complexity, we solved this difficulty by devising a method that caches differences between scores of a layout and its possible updates

  8. Using Visual Analytics to Determine the Utilization of Preoperative Anesthesia Assessments.

    Science.gov (United States)

    Wanderer, J P; Gruss, C L; Ehrenfeld, J M

    2015-01-01

    Preoperative assessments are a required and essential element of anesthetic care, yet little is known about the utilization of these documents by clinicians who are not part of the anesthesia care team. As part of perioperative workflow restructuring, we implemented a data visualization technique of electronic medical record audit log data to understand the utilization of preoperative anesthesia assessments by non-anesthesia personnel. An audit log cache containing 140 days of data was queried for all accesses of preoperative anesthesia assessment documents for any patient who had a preoperative anesthesia assessment that was accessed during that period. User roles were aggregated into categories. Descriptive statistics and data visualization were generated using R (R Software Foundation, Vienna, Austria). Comparisons were performed with the Wilcoxon signed rank test with continuity correction. During the study period, 73 802 (0.015%) of the 485 062 902 audit log accesses were preoperative anesthesia assessments representing 412 departments, 302 user roles, and 3 916 distinct users who accessed preoperative anesthesia assessments from 14 235 surgical cases. Each assessment was accessed 2.9 times on average. Assessments performed in the preoperative anesthesia assessment clinic were accessed more frequently than those created on the day of surgery in the preoperative holding room (3.58 ± 5.18 v. 1.98 ± 1.76 average views; panalytic approach could be broadly utilized to understand documentation dependencies in a variety of clinical contexts.

  9. Generalized Cartographic and Simultaneous Representation of Utility Networks for Decision-Support Systems and Crisis Management in Urban Environments

    Science.gov (United States)

    Becker, T.; König, G.

    2015-10-01

    Cartographic visualizations of crises are used to create a Common Operational Picture (COP) and enforce Situational Awareness by presenting relevant information to the involved actors. As nearly all crises affect geospatial entities, geo-data representations have to support location-specific analysis throughout the decision-making process. Meaningful cartographic presentation is needed for coordinating the activities of crisis manager in a highly dynamic situation, since operators' attention span and their spatial memories are limiting factors during the perception and interpretation process. Situational Awareness of operators in conjunction with a COP are key aspects in decision-making process and essential for making well thought-out and appropriate decisions. Considering utility networks as one of the most complex and particularly frequent required systems in urban environment, meaningful cartographic presentation of multiple utility networks with respect to disaster management do not exist. Therefore, an optimized visualization of utility infrastructure for emergency response procedures is proposed. The article will describe a conceptual approach on how to simplify, aggregate, and visualize multiple utility networks and their components to meet the requirements of the decision-making process and to support Situational Awareness.

  10. Life cycle assessment of the Danish electricity distribution network

    DEFF Research Database (Denmark)

    Turconi, Roberto; Simonsen, Christian G.; Byriel, Inger P.

    2014-01-01

    and overhead) and 0.4 kV (copper and aluminum) were modeled. Results and discussion Electricity transmission and distribution provided nonnegligible impacts, related mainly to power losses. Impacts from electricity distribution were larger than those from transmission because of higher losses and higher......Purpose This article provides life cycle inventory data for electricity distribution networks and a life cycle assessment (LCA) of the Danish transmission and distribution networks. The aim of the study was to evaluate the potential importance of environmental impacts associated with distribution......, in current and future electricity systems. Methods The functional unit was delivery of 1 kWh of electricity in Denmark. The focus of the assessment was distribution of electricity, and the related impacts were compared to the generation and transmission of electricity, in order to evaluate the importance...

  11. National coal utilization assessment. An integrated assessment of increased coal use in the Midwest: impacts and constraints

    Energy Technology Data Exchange (ETDEWEB)

    Hoover, L. John

    1977-10-01

    This study was performed as a part of the Argonne National Laboratory Regional Studies program, which is sponsored by the Department of Energy. The purpose is to assess the impacts and consequences associated with alternative energy options on a regional basis, and to identify and analyze alternative mitigation and solution strategies for increasing the acceptability of these options. The National Coal Utilization Assessment is being conducted as a part of the Regional Studies Program. This particular study is focusing on impacts and constraints on increased coal utilization. In addition, a major focal point for the study is the identification and analysis of alternative solution strategies applicable to these constraints and problems.

  12. How to assess extreme weather impacts - case European transport network

    Science.gov (United States)

    Leviäkangas, P.

    2010-09-01

    To assess the impacts of climate change and preparing for impacts is a process. This process we must understand and learn to apply. EWENT (Extreme Weather impacts on European Networks of Transport) will be a test bench for one prospective approach. It has the following main components: 1) identifying what is "extreme", 2) assessing the change in the probabilities, 3) constructing the causal impact models, 4) finding appropriate methods of pricing and costing, 5) finding alternative strategy option, 6) assessing the efficiency of strategy option. This process follows actually the steps of standardized risk management process. Each step is challenging, but if EWENT project succeeds to assess the extreme weather impacts on European transport networks, it is one possible benchmark how to carry out similar analyses in other regions and on country level. EWENT approach could particularly useful for weather and climate information service providers, offering tools for transport authorities and financiers to assess weather risks, and then rationally managing the risks. EWENT project is financed by the European Commission and participated by met-service organisations and transport research institutes from different parts of Europe. The presentation will explain EWENT approach in detail and bring forth the findings of the first work packages.

  13. Assessing Low-Intensity Relationships in Complex Networks.

    Science.gov (United States)

    Spitz, Andreas; Gimmler, Anna; Stoeck, Thorsten; Zweig, Katharina Anna; Horvát, Emőke-Ágnes

    2016-01-01

    Many large network data sets are noisy and contain links representing low-intensity relationships that are difficult to differentiate from random interactions. This is especially relevant for high-throughput data from systems biology, large-scale ecological data, but also for Web 2.0 data on human interactions. In these networks with missing and spurious links, it is possible to refine the data based on the principle of structural similarity, which assesses the shared neighborhood of two nodes. By using similarity measures to globally rank all possible links and choosing the top-ranked pairs, true links can be validated, missing links inferred, and spurious observations removed. While many similarity measures have been proposed to this end, there is no general consensus on which one to use. In this article, we first contribute a set of benchmarks for complex networks from three different settings (e-commerce, systems biology, and social networks) and thus enable a quantitative performance analysis of classic node similarity measures. Based on this, we then propose a new methodology for link assessment called z* that assesses the statistical significance of the number of their common neighbors by comparison with the expected value in a suitably chosen random graph model and which is a consistently top-performing algorithm for all benchmarks. In addition to a global ranking of links, we also use this method to identify the most similar neighbors of each single node in a local ranking, thereby showing the versatility of the method in two distinct scenarios and augmenting its applicability. Finally, we perform an exploratory analysis on an oceanographic plankton data set and find that the distribution of microbes follows similar biogeographic rules as those of macroorganisms, a result that rejects the global dispersal hypothesis for microbes.

  14. Assessing Low-Intensity Relationships in Complex Networks

    Science.gov (United States)

    Spitz, Andreas; Gimmler, Anna; Stoeck, Thorsten; Zweig, Katharina Anna; Horvát, Emőke-Ágnes

    2016-01-01

    Many large network data sets are noisy and contain links representing low-intensity relationships that are difficult to differentiate from random interactions. This is especially relevant for high-throughput data from systems biology, large-scale ecological data, but also for Web 2.0 data on human interactions. In these networks with missing and spurious links, it is possible to refine the data based on the principle of structural similarity, which assesses the shared neighborhood of two nodes. By using similarity measures to globally rank all possible links and choosing the top-ranked pairs, true links can be validated, missing links inferred, and spurious observations removed. While many similarity measures have been proposed to this end, there is no general consensus on which one to use. In this article, we first contribute a set of benchmarks for complex networks from three different settings (e-commerce, systems biology, and social networks) and thus enable a quantitative performance analysis of classic node similarity measures. Based on this, we then propose a new methodology for link assessment called z* that assesses the statistical significance of the number of their common neighbors by comparison with the expected value in a suitably chosen random graph model and which is a consistently top-performing algorithm for all benchmarks. In addition to a global ranking of links, we also use this method to identify the most similar neighbors of each single node in a local ranking, thereby showing the versatility of the method in two distinct scenarios and augmenting its applicability. Finally, we perform an exploratory analysis on an oceanographic plankton data set and find that the distribution of microbes follows similar biogeographic rules as those of macroorganisms, a result that rejects the global dispersal hypothesis for microbes. PMID:27096435

  15. A hierarchical network modeling method for railway tunnels safety assessment

    Science.gov (United States)

    Zhou, Jin; Xu, Weixiang; Guo, Xin; Liu, Xumin

    2017-02-01

    Using network theory to model risk-related knowledge on accidents is regarded as potential very helpful in risk management. A large amount of defects detection data for railway tunnels is collected in autumn every year in China. It is extremely important to discover the regularities knowledge in database. In this paper, based on network theories and by using data mining techniques, a new method is proposed for mining risk-related regularities to support risk management in railway tunnel projects. A hierarchical network (HN) model which takes into account the tunnel structures, tunnel defects, potential failures and accidents is established. An improved Apriori algorithm is designed to rapidly and effectively mine correlations between tunnel structures and tunnel defects. Then an algorithm is presented in order to mine the risk-related regularities table (RRT) from the frequent patterns. At last, a safety assessment method is proposed by consideration of actual defects and possible risks of defects gained from the RRT. This method cannot only generate the quantitative risk results but also reveal the key defects and critical risks of defects. This paper is further development on accident causation network modeling methods which can provide guidance for specific maintenance measure.

  16. Utilizing multiobjective analysis to determine an air quality monitoring network in an industrial district

    Science.gov (United States)

    Kao, Jehng-Jung; Hsieh, Ming-Ru

    An industrial district with polluting factories operating inside poses a potential threat to the air quality in the surrounding areas. Therefore, establishing a proper air quality monitoring network (AQMN) is essential for assessing the effectiveness of imposed pollution controls, strategies, and facilities in reducing pollutants. The geographic layout of such an AQMN should assure the quality of the monitored data. Monitoring stations located at inappropriate sites will likely affect data validity. In this study, a multiobjective approach was explored for configuring an AQMN for an industrial district. A dispersion model was employed to simulate hourly distribution of pollutant concentrations in the study area. Models optimizing pollution detection, dosage, coverage, and population protection were established. Alternative AQMNs with varied station numbers and spatial distributions were obtained using the models. The resulting AQMNs were compared and evaluated for effectiveness in monitoring the temporal and spatial variation of pollutants. Discussion of the differences among the AQMNs is provided. This multiobjective analysis is expected to facilitate a decision-making process for determining an appropriate AQMN.

  17. Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks

    Directory of Open Access Journals (Sweden)

    Martin Florian

    2012-05-01

    Full Text Available Abstract Background High-throughput measurement technologies produce data sets that have the potential to elucidate the biological impact of disease, drug treatment, and environmental agents on humans. The scientific community faces an ongoing challenge in the analysis of these rich data sources to more accurately characterize biological processes that have been perturbed at the mechanistic level. Here, a new approach is built on previous methodologies in which high-throughput data was interpreted using prior biological knowledge of cause and effect relationships. These relationships are structured into network models that describe specific biological processes, such as inflammatory signaling or cell cycle progression. This enables quantitative assessment of network perturbation in response to a given stimulus. Results Four complementary methods were devised to quantify treatment-induced activity changes in processes described by network models. In addition, companion statistics were developed to qualify significance and specificity of the results. This approach is called Network Perturbation Amplitude (NPA scoring because the amplitudes of treatment-induced perturbations are computed for biological network models. The NPA methods were tested on two transcriptomic data sets: normal human bronchial epithelial (NHBE cells treated with the pro-inflammatory signaling mediator TNFα, and HCT116 colon cancer cells treated with the CDK cell cycle inhibitor R547. Each data set was scored against network models representing different aspects of inflammatory signaling and cell cycle progression, and these scores were compared with independent measures of pathway activity in NHBE cells to verify the approach. The NPA scoring method successfully quantified the amplitude of TNFα-induced perturbation for each network model when compared against NF-κB nuclear localization and cell number. In addition, the degree and specificity to which CDK

  18. A Design Tool Utilizing Stoichiometric Structure for the Analysis of Biochemical Reaction Networks

    Science.gov (United States)

    1990-05-20

    for the Analysis of Biochemical Reaction Networks 12.PERSONAL AUTHOR(S) Captain Stephen E. Kelly 13a.TYPE OF REPORT I 13b.TIME COVERED I14.DATE OF...necessary’apd identify by bldck numbe&)"War A method is proposed for the analysis of possible distributions of pro’ cts in biochemical reaction networks using...consistency and closure in fermentation material balanc-. -iSeveral biochemical reaction networks were examined. A proposed pathway for the biosynthetic

  19. Microbial network for waste activated sludge cascade utilization in an integrated system of microbial electrolysis and anaerobic fermentation

    DEFF Research Database (Denmark)

    Liu, Wenzong; He, Zhangwei; Yang, Chunxue

    2016-01-01

    in an integrated system of microbial electrolysis cell (MEC) and anaerobic digestion (AD) for waste activated sludge (WAS). Microbial communities in integrated system would build a thorough energetic and metabolic interaction network regarding fermentation communities and electrode respiring communities...... and Parabacteroides, which showed a delayed contribution to the extracellular electron transport leading to a slow cascade utilization of WAS. Conclusions: Efficient pretreatment could supply more short-chain fatty acids and higher conductivities in the fermentative liquid, which facilitated mass transfer in anodic...

  20. Challenges to time trade-off utility assessment methods: when should you consider alternative approaches?

    Science.gov (United States)

    Boye, Kristina S; Matza, Louis S; Feeny, David H; Johnston, Joseph A; Bowman, Lee; Jordan, Jessica B

    2014-06-01

    In recent years, the time trade-off (TTO) method, most commonly with a 10-year time horizon, has been the most frequently used approach for direct health state utility assessment, likely due to National Institute for Health and Care Excellence (NICE) preference for comparability with the EQ-5D, which has a utility scoring algorithm derived via this method. Although comparability to previous utility studies is important, there are situations when the TTO method may not be appropriate. The purpose of the current review is to highlight challenges to the TTO method. Five challenges to the TTO method are discussed: mild health states, small differences among health states, temporary health states, pediatric health states, and assessment of samples with particular characteristics. Some of these challenges are associated with the 10-year time horizon, while other situations may raise issues for TTO methods regardless of the time horizon. Alternative approaches for valuing health states are suggested.

  1. Power system cascading risk assessment based on complex network theory

    Science.gov (United States)

    Wang, Zhuoyang; Hill, David J.; Chen, Guo; Dong, Zhao Yang

    2017-09-01

    When a single failure occurs in a vulnerable part of a power system, this may cause a large area cascading event. Therefore, an advanced method that can assess the risks during cascading events is needed. In this paper, an improved complex network model for power system risk assessment is proposed. Risk is defined by consequence and probability of the failures in this model, which are affected by both power factors and network structure. Compared with existing risk assessment models, the proposed one can evaluate the risk of the system comprehensively during a cascading event by combining the topological and electrical information. A new cascading event simulation module is adopted to identify the power grid cascading chain from a system-level view. In addition, simulations are investigated on the IEEE 14 bus system and IEEE 39 bus system respectively to illustrate the performance of the proposed module. The simulation results demonstrate that the proposed method is effective in a power grid risk assessment during cascading event.

  2. Geothermal energy in deep aquifers : A global assessment of the resource base for direct heat utilization

    OpenAIRE

    Limberger, J.; Boxem, T.; Pluymaekers, Maarten; Bruhn, David; Manzella, Adelle; Calcagno, Philippe; Beekman, F.; Cloetingh, S.; van Wees, J.-D.

    2018-01-01

    In this paper we present results of a global resource assessment for geothermal energy within deep aquifers for direct heat utilization. Greenhouse heating, spatial heating, and spatial cooling are considered in this assessment. We derive subsurface temperatures from geophysical data and apply a volumetric heat-in-place method to improve current global geothermal resource base estimates for direct heat applications. The amount of thermal energy stored within aquifers depends on the Earth's he...

  3. Geothermal energy in deep aquifers: A global assessment of the resource base for direct heat utilization

    OpenAIRE

    Limberger, Jon; Boxem, Thijs; Pluymaekers, Maarten; Bruhn, D.F.; Manzella, Adele; Calcagno, Philippe; Beekman, Fred; Cloetingh, S.A.P.L.; van Wees, Jan Diederik

    2018-01-01

    In this paper we present results of a global resource assessment for geothermal energy within deep aquifers for direct heat utilization. Greenhouse heating, spatial heating, and spatial cooling are considered in this assessment. We derive subsurface temperatures from geophysical data and apply a volumetric heat-in-place method to improve current global geothermal resource base estimates for direct heat applications. The amount of thermal energy stored within aquifers depends on the Earth's he...

  4. Assessment of Utilization of ICT Resources in Teaching among Tertiary Institution Business Educators in South Nigeria

    Science.gov (United States)

    Okolocha, Chimezie Comfort; Nwadiani, Comfort Onaigho

    2015-01-01

    This study assessed the utilization of ICT resources in teaching among business educators in tertiary institutions in south Nigeria. Two research questions and two null hypotheses guided the study. Descriptive survey research design was adopted for the study. The population and sample for the study comprised all 240 business educators in colleges…

  5. Utility Assessment Report for SPIDERS Phase 2: Ft. Carson (Rev 1.0)

    Energy Technology Data Exchange (ETDEWEB)

    Barr, Jonathan L. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Tuffner, Francis K. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hadley, Mark D. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Schneider, Kevin P. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2014-01-01

    This document contains the Utility Assessment Report (UAR) for the Phase 2 operational Demonstration (OD) of the Smart Power Infrastructure Demonstration for Energy Reliability and Security (SPIDERS) Joint Capability Technology Demonstration (JCTD). The UAR for Phase 2 shows that the SPIDERS system was able to meet the requirements of the Implementation Directive at Ft. Carson.

  6. Assessment of the utilization of pre-marital HIV testing services and ...

    African Journals Online (AJOL)

    Background: Pre-marital HIV testing contributes to the prevention of HIV infection by diminishing heterosexual transmission between partners and indirectly also protects any potential child from contracting the virus. Objectives: To assess the utilization and determinants of pre-marital HIV testing in civil marriages taking ...

  7. Reliability and Perceived Pedagogical Utility of a Weighted Music Performance Assessment Rubric

    Science.gov (United States)

    Latimer, Marvin E., Jr.; Bergee, Martin J.; Cohen, Mary L.

    2010-01-01

    The purpose of this study was to investigate the reliability and perceived pedagogical utility of a multidimensional weighted performance assessment rubric used in Kansas state high school large-group festivals. Data were adjudicator rubrics (N = 2,016) and adjudicator and director questionnaires (N = 515). Rubric internal consistency was…

  8. Assessment of ICT Utilization in Agriculture Across-Gender in Enugu ...

    African Journals Online (AJOL)

    The study assessed ICT utilization in agriculture across gender in Enugu-Ezike agricultural zone of Enugu State, Nigeria. Ninety (90) rural farmers (across gender) were interviewed for the purpose of eliciting information. The respondents had high access to mobile phone ( x =1.90), radio sets ( x =1.92) and television ( x ...

  9. Assessment of Social Media Utilization and Study Habit of Students of Tertiary Institutions in Katsina State

    Science.gov (United States)

    Olutola, Adekunle Thomas; Olatoye, Olufunke Omotoke; Olatoye, Rafiu Ademola

    2016-01-01

    This study investigated assessment of social media utilization and study habits of students of tertiary institutions in Katsina State. The descriptive survey design was adopted for this study. Three hundred and eighty-one (381) students' of tertiary institutions in Katsina State were randomly selected for the study. Researchers'-designed…

  10. Can computer-based assessment enhance the acceptance of formative multiple choice exams? A utility analysis.

    Science.gov (United States)

    Karay, Yassin; Schauber, Stefan K; Stosch, Christoph; Schuettpelz-Brauns, Katrin

    2012-01-01

    Students' motivation to participate is one of the main challenges in formative assessment. The utility framework identifies potential points of intervention for improving the acceptance of formative assessment [Van Der Vleuten C. 1996. The assessment of professional competence: Developments, research and practical implications. Adv Health Sci Educ 1(1):41-67]. At the Medical Faculty of the University of Cologne, the paper-based version of the Berlin Progress Test has been transformed into computer-based version providing immediate feedback. To investigate whether the introduction of computer-based assessment (CBA) enhances the acceptance of formative assessment relative to paper-based assessment (PBA). In a retrospective cohort study (PBA: N = 2597, CBA: N = 2712), students' overall acceptance of the two forms of assessment was surveyed, their comments were analyzed, and we analyzed their test behavior and categorized students into "serious" or "non-serious" test takers. In the preclinical phase of medical education, no differences were found in overall acceptance of the two forms of assessment (p > 0.05). In the clinical phase, differences in favor of CBA were found in overall acceptance (p < 0.05), the proportion of positive comments (p < 0.001), and the proportion of serious participants (p < 0.001). Introduction of immediate feedback via CBA can enhance the acceptance and therefore the utility of formative assessment.

  11. Assessing the Exceptionality of Coloured Motifs in Networks

    Directory of Open Access Journals (Sweden)

    Lacroix Vincent

    2009-01-01

    Full Text Available Various methods have been recently employed to characterise the structure of biological networks. In particular, the concept of network motif and the related one of coloured motif have proven useful to model the notion of a functional/evolutionary building block. However, algorithms that enumerate all the motifs of a network may produce a very large output, and methods to decide which motifs should be selected for downstream analysis are needed. A widely used method is to assess if the motif is exceptional, that is, over- or under-represented with respect to a null hypothesis. Much effort has been put in the last thirty years to derive -values for the frequencies of topological motifs, that is, fixed subgraphs. They rely either on (compound Poisson and Gaussian approximations for the motif count distribution in Erdös-Rényi random graphs or on simulations in other models. We focus on a different definition of graph motifs that corresponds to coloured motifs. A coloured motif is a connected subgraph with fixed vertex colours but unspecified topology. Our work is the first analytical attempt to assess the exceptionality of coloured motifs in networks without any simulation. We first establish analytical formulae for the mean and the variance of the count of a coloured motif in an Erdös-Rényi random graph model. Using simulations under this model, we further show that a Pólya-Aeppli distribution better approximates the distribution of the motif count compared to Gaussian or Poisson distributions. The Pólya-Aeppli distribution, and more generally the compound Poisson distributions, are indeed well designed to model counts of clumping events. Altogether, these results enable to derive a -value for a coloured motif, without spending time on simulations.

  12. Utilizing Maximal Independent Sets as Dominating Sets in Scale-Free Networks

    Science.gov (United States)

    Derzsy, N.; Molnar, F., Jr.; Szymanski, B. K.; Korniss, G.

    Dominating sets provide key solution to various critical problems in networked systems, such as detecting, monitoring, or controlling the behavior of nodes. Motivated by graph theory literature [Erdos, Israel J. Math. 4, 233 (1966)], we studied maximal independent sets (MIS) as dominating sets in scale-free networks. We investigated the scaling behavior of the size of MIS in artificial scale-free networks with respect to multiple topological properties (size, average degree, power-law exponent, assortativity), evaluated its resilience to network damage resulting from random failure or targeted attack [Molnar et al., Sci. Rep. 5, 8321 (2015)], and compared its efficiency to previously proposed dominating set selection strategies. We showed that, despite its small set size, MIS provides very high resilience against network damage. Using extensive numerical analysis on both synthetic and real-world (social, biological, technological) network samples, we demonstrate that our method effectively satisfies four essential requirements of dominating sets for their practical applicability on large-scale real-world systems: 1.) small set size, 2.) minimal network information required for their construction scheme, 3.) fast and easy computational implementation, and 4.) resiliency to network damage. Supported by DARPA, DTRA, and NSF.

  13. Dynamic Security Assessment Of Computer Networks In Siem-Systems

    Directory of Open Access Journals (Sweden)

    Elena Vladimirovna Doynikova

    2015-10-01

    Full Text Available The paper suggests an approach to the security assessment of computer networks. The approach is based on attack graphs and intended for Security Information and Events Management systems (SIEM-systems. Key feature of the approach consists in the application of the multilevel security metrics taxonomy. The taxonomy allows definition of the system profile according to the input data used for the metrics calculation and techniques of security metrics calculation. This allows specification of the security assessment in near real time, identification of previous and future attacker steps, identification of attackers goals and characteristics. A security assessment system prototype is implemented for the suggested approach. Analysis of its operation is conducted for several attack scenarios.

  14. College Health Surveillance Network: Epidemiology and Health Care Utilization of College Students at US 4-Year Universities.

    Science.gov (United States)

    Turner, James C; Keller, Adrienne

    2015-01-01

    This description of the College Health Surveillance Network (CHSN) includes methodology, demography, epidemiology, and health care utilization. Twenty-three universities representing approximately 730,000 enrolled students contributed data from January 1, 2011, through May 31, 2014. Participating schools uploaded de-identified electronic health records from student health services monthly. During this study, just over 800,000 individuals used the health centers, comprising 4.17 million patient encounters. Sixty percent of visits included primary care, 13% mental health, 9% vaccination, and 31% other miscellaneous services. The 5 most common specific diagnostic categories (with annual rates per 100 enrolled students) were preventive (16); respiratory (12); skin, hair, and nails; infectious non-sexually transmitted infection (5 each); and mental health (4). Utilization and epidemiologic trends are identified among subpopulations of students. CHSN data establish trends in utilization and epidemiologic patterns by college students and the importance of primary and behavioral health care services on campuses.

  15. Vulnerability Index Assessment Using Neural Networks (viann): a Case Study of Nicosia, Cyprus

    Science.gov (United States)

    Dindar, H.; Dimililer, K.; Özdağ, Ö. C.; Atalar, C.; Akgün, M.; Özyankı, A.

    2017-11-01

    Many scholars have used microtremor applications to evaluate the vulnerability index. In order to reach fast and reliable results, microtremor measurement is preferred as it is a cost-effective method. In this paper, the vulnerability index will be reviewed by utilization of microtremor measurement results in Nicosia city. 100 measurement stations have been used to collect microtremor data and the data were analysed by using Nakamura's method. The value of vulnerability index (Kg) has been evaluated by using the fundamental frequency and amplification factor. The results obtained by the artificial neural network (ANN) will be compared with microtremor measurements. Vulnerability Index Assessment using Neural Networks (VIANN) is a backpropagation neural network, which uses the original input microtremor Horizontal Vertical Spectrum Ratio (HVSR) spectrum set. A 3-layer back propagation neural network which contains 4096 input, 28 hidden and 3 output neurons are used in this suggested system. The output neurons are classified according to acceleration sensitivity zone, velocity zones, or displacement zones. The sites are classified by their vulnerability index values using binary coding: [1 0 0] for the acceleration sensitive zone, [0 1 0] for the velocity sensitive zone, and [0 0 1] for the displacement sensitive zone.

  16. VULNERABILITY INDEX ASSESSMENT USING NEURAL NETWORKS (VIANN: A CASE STUDY OF NICOSIA, CYPRUS

    Directory of Open Access Journals (Sweden)

    H. Dindar

    2017-11-01

    Full Text Available Many scholars have used microtremor applications to evaluate the vulnerability index. In order to reach fast and reliable results, microtremor measurement is preferred as it is a cost-effective method. In this paper, the vulnerability index will be reviewed by utilization of microtremor measurement results in Nicosia city. 100 measurement stations have been used to collect microtremor data and the data were analysed by using Nakamura’s method. The value of vulnerability index (Kg has been evaluated by using the fundamental frequency and amplification factor. The results obtained by the artificial neural network (ANN will be compared with microtremor measurements. Vulnerability Index Assessment using Neural Networks (VIANN is a backpropagation neural network, which uses the original input microtremor Horizontal Vertical Spectrum Ratio (HVSR spectrum set. A 3-layer back propagation neural network which contains 4096 input, 28 hidden and 3 output neurons are used in this suggested system. The output neurons are classified according to acceleration sensitivity zone, velocity zones, or displacement zones. The sites are classified by their vulnerability index values using binary coding: [1 0 0] for the acceleration sensitive zone, [0 1 0] for the velocity sensitive zone, and [0 0 1] for the displacement sensitive zone.

  17. Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic

    Directory of Open Access Journals (Sweden)

    Stefano Parolai

    2017-09-01

    Full Text Available The first real-time digital strong-motion network in Central Asia has been installed in the Kyrgyz Republic since 2014. Although this network consists of only 19 strong-motion stations, they are located in near-optimal locations for earthquake early warning and rapid response purposes. In fact, it is expected that this network, which utilizes the GFZ-Sentry software, allowing decentralized event assessment calculations, not only will provide useful strong motion data useful for improving future seismic hazard and risk assessment, but will serve as the backbone for regional and on-site earthquake early warning operations. Based on the location of these stations, and travel-time estimates for P- and S-waves, we have determined potential lead times for several major urban areas in Kyrgyzstan (i.e., Bishkek, Osh, and Karakol and Kazakhstan (Almaty, where we find the implementation of an efficient earthquake early warning system would provide lead times outside the blind zone ranging from several seconds up to several tens of seconds. This was confirmed by the simulation of the possible shaking (and intensity that would arise considering a series of scenarios based on historical and expected events, and how they affect the major urban centers. Such lead times would allow the instigation of automatic mitigation procedures, while the system as a whole would support prompt and efficient actions to be undertaken over large areas.

  18. Assessing earthquake early warning using sparse networks in developing countries: Case study of the Kyrgyz Republic

    Science.gov (United States)

    Parolai, Stefano; Boxberger, Tobias; Pilz, Marco; Fleming, Kevin; Haas, Michael; Pittore, Massimiliano; Petrovic, Bojana; Moldobekov, Bolot; Zubovich, Alexander; Lauterjung, Joern

    2017-09-01

    The first real-time digital strong-motion network in Central Asia has been installed in the Kyrgyz Republic since 2014. Although this network consists of only 19 strong-motion stations, they are located in near-optimal locations for earthquake early warning and rapid response purposes. In fact, it is expected that this network, which utilizes the GFZ-Sentry software, allowing decentralized event assessment calculations, not only will provide useful strong motion data useful for improving future seismic hazard and risk assessment, but will serve as the backbone for regional and on-site earthquake early warning operations. Based on the location of these stations, and travel-time estimates for P- and S-waves, we have determined potential lead times for several major urban areas in Kyrgyzstan (i.e., Bishkek, Osh, and Karakol) and Kazakhstan (Almaty), where we find the implementation of an efficient earthquake early warning system would provide lead times outside the blind zone ranging from several seconds up to several tens of seconds. This was confirmed by the simulation of the possible shaking (and intensity) that would arise considering a series of scenarios based on historical and expected events, and how they affect the major urban centres. Such lead times would allow the instigation of automatic mitigation procedures, while the system as a whole would support prompt and efficient actions to be undertaken over large areas.

  19. Chaparral vegetation reflectance and its potential utility for assessment of fire hazard

    Science.gov (United States)

    Cohen, Warren B.

    1991-01-01

    Current methods for assessment of ignition potential often fail to alert wildland managers to the severity of drought-induced fire hazard at remote locations and over large geographic areas. After the severe fires of 1988 in the western United States, the need was heightened for improved fire hazard assessment techniques. Chaparral vegetation is particularly receptive to recurring drought-related episodes of extreme fire hazard and was thus chosen for study here. Demonstrated herein is that chaparral vegetation has considerably different reflecting properties at different levels of drought stress. As such, remote sensing may have utility for fire hazard assessment in this vegetation type.

  20. Utilization and Limitations of the American College Health Association's National College Health Assessment Instrument: A Systematic Review

    Science.gov (United States)

    Rahn, Rhonda N.; Pruitt, Buster; Goodson, Patricia

    2016-01-01

    Objective: To analyze the literature in which researchers have utilized the National College Health Assessment (NCHA) I or the NCHA II. Participants and Methods: The authors selected peer-reviewed articles published between 2004 and July 2013 utilizing a single search term: National College Health Assessment. Articles were assessed for instrument…

  1. Simulation of Foam Divot Weight on External Tank Utilizing Least Squares and Neural Network Methods

    Science.gov (United States)

    Chamis, Christos C.; Coroneos, Rula M.

    2007-01-01

    Simulation of divot weight in the insulating foam, associated with the external tank of the U.S. space shuttle, has been evaluated using least squares and neural network concepts. The simulation required models based on fundamental considerations that can be used to predict under what conditions voids form, the size of the voids, and subsequent divot ejection mechanisms. The quadratic neural networks were found to be satisfactory for the simulation of foam divot weight in various tests associated with the external tank. Both linear least squares method and the nonlinear neural network predicted identical results.

  2. Optimal network solution for proactive risk assessment and emergency response

    Science.gov (United States)

    Cai, Tianxing

    Coupled with the continuous development in the field industrial operation management, the requirement for operation optimization in large scale manufacturing network has provoked more interest in the research field of engineering. Compared with the traditional way to take the remedial measure after the occurrence of the emergency event or abnormal situation, the current operation control calls for more proactive risk assessment to set up early warning system and comprehensive emergency response planning. Among all the industries, chemical industry and energy industry have higher opportunity to face with the abnormal and emergency situations due to their own industry characterization. Therefore the purpose of the study is to develop methodologies to give aid in emergency response planning and proactive risk assessment in the above two industries. The efficacy of the developed methodologies is demonstrated via two industrial real problems. The first case is to handle energy network dispatch optimization under emergency of local energy shortage under extreme conditions such as earthquake, tsunami, and hurricane, which may cause local areas to suffer from delayed rescues, widespread power outages, tremendous economic losses, and even public safety threats. In such urgent events of local energy shortage, agile energy dispatching through an effective energy transportation network, targeting the minimum energy recovery time, should be a top priority. The second case is a scheduling methodology to coordinate multiple chemical plants' start-ups in order to minimize regional air quality impacts under extreme meteorological conditions. The objective is to reschedule multi-plant start-up sequence to achieve the minimum sum of delay time compared to the expected start-up time of each plant. All these approaches can provide quantitative decision support for multiple stake holders, including government and environment agencies, chemical industry, energy industry and local

  3. Utility of factor analysis in optimization of resident assessment and faculty evaluation.

    Science.gov (United States)

    Teman, Nicholas R; Minter, Rebecca M; Kasten, Steven J

    2016-06-01

    Increasing focus on more granular assessment in medical education has led to more lengthy instruments, with concern that the increased complexity undermines the utility of these tools. This study evaluated the relative contribution of individual questions in an assessment of resident performance and a faculty performance evaluation by residents. The authors performed factor analysis on the individual items in the resident assessment instrument (3,009 assessments of 71 residents) and faculty evaluations (7,328 evaluations of 61 faculty) collected from 2006 to 2012. Factor analysis of the resident assessment tool revealed that 1 component was responsible for 96.6% of the variance. This component encompassed each question from the assessment form, and could also be termed "overall resident competency." Factor analysis of the attending evaluation form revealed 2 unique components, representing "clinical care" and "interpersonal skills," which accounted for 89.9% of variance. Three components accounted for 90% to 97% of the observed variance in our analysis. Factor analysis represents a useful strategy for analyzing the utility of data obtained from individual items in the assessment and evaluation instruments. Copyright © 2015 Elsevier Inc. All rights reserved.

  4. A conceptual model for assessing risks in a Mediterranean Natura 2000 Network site.

    Science.gov (United States)

    Macedo-Sousa, Joaquim A; Soares, Amadeu M V M; Tarazona, José V

    2009-01-15

    Every year millions of tons of chemical products are disposed to the environment as a result of human activities, with deleterious consequences to biodiversity. In Europe the biodiversity policy basis for action is provided by the Birds and the Habitats Directives. According to these directives a network of protected areas is being built across EU countries encompassing the Natura 2000 Network. But the management plans of these protected areas do not require an ecotoxicological assessment of chemicals used within its limits. As for risk assessment protocols described in EC pieces of legislation and technical guidance documents, they are generic guidelines that not take into consideration regional particularities, e.g. the Mediterranean ecoregion specificities, and its local ecological values. Herewith we present a conceptual model for the assessment of risks posed by agriculture to bird species of conservationist concern from Natura 2000 Network sites; an example is set in a cereal steppe of the Iberian Peninsula. Hazards identified are related to the utilization of herbicides, disposal of sewage sludge to be used as fertilizer, and the input of veterinary pharmaceuticals that can be found in livestock dung and urine. This innovative model, to be used in high tier risk assessment, takes into account the biotic parameters of the protected bird species: great bustard (Otis tarda), lesser kestrel (Falco naumanni), and montagu's harrier (Circus pygargus). The transfer of chemicals is considered to occur mainly through a realistic trophic chain scenario according to the different feeding behaviour among different species and even within the same species when having different feeding habits (e.g. adults and juveniles). Moreover, the probabilistic approach is proposed in order to perform a transparent risk assessment and clearer risk communication.

  5. Health impact assessment in a network of European cities.

    Science.gov (United States)

    Ison, Erica

    2013-10-01

    The methodology of health impact assessment (HIA) was introduced as one of four core themes for Phase IV (2003-2008) of the World Health Organization European Healthy Cities Network (WHO-EHCN). Four objectives for HIA were set at the beginning of the phase. We report on the results of the evaluation of introducing and implementing this methodology in cities from countries across Europe with widely differing economies and sociopolitical contexts. Two main sources of data were used: a general questionnaire designed for the Phase IV evaluation and the annual reporting template for 2007-2008. Sources of bias included the proportion of non-responders and the requirement to communicate in English. Main barriers to the introduction and implementation of HIA were a lack of skill, knowledge and experience of HIA, the newness of the concept, the lack of a legal basis for implementation and a lack of political support. Main facilitating factors were political support, training in HIA, collaboration with an academic/public health institution or local health agency, a pre-existing culture of intersectoral working, a supportive national policy context, access to WHO materials about or expertise in HIA and membership of the WHO-EHCN, HIA Sub-Network or a National Network. The majority of respondents did not feel that they had had the resources, knowledge or experience to achieve all of the objectives set for HIA in Phase IV. The cities that appear to have been most successful at introducing and implementing HIA had pre-existing experience of HIA, came from a country with a history of applying HIA, were HIA Sub-Network members or had made a commitment to implementing HIA during successive years of Phase IV. Although HIA was recognised as an important component of Healthy Cities' work, the experience in the WHO-EHCN underscores the need for political buy-in, capacity building and adequate resourcing for the introduction and implementation of HIA to be successful.

  6. Polymer Optical Fiber Sensor and the Prediction of Sensor Response Utilizing Artificial Neural Networks

    Science.gov (United States)

    Haroglu, Derya

    characteristics: reproducibility, accuracy, selectivity, aging, and resolution. Artificial neural network (ANN), a mathematical model formed by mimicking the human nervous system, was used to predict the sensor response. Qwiknet (version 2.23) software was used to develop ANNs and according to the results of Qwiknet the prediction performances for training and testing data sets were 75%, and 83.33% respectively. In this dissertation, Chapter 1 describes the worldwide plastic optical fiber (POF) and fiber optic sensor markets, and the existing textile structures used in fiber optic sensing design particularly for the applications of biomedical and structural health monitoring (SHM). Chapter 2 provides a literature review in detail on polymer optical fibers, fiber optic sensors, and occupancy sensing in the passenger seats of automobiles. Chapter 3 includes the research objectives. Chapter 4 presents the response of POF to tensile loading, bending, and cyclic tensile loading with discussion parts. Chapter 5 includes an e-mail based survey to prioritize customer needs in a Quality Function Deployment (QFD) format utilizing Analytic Hierarchy Process (AHP) and survey results. Chapter 6 describes the POF sensor design and the behavior of it under pressure. Chapter 7 provides a data analysis based on the experimental results of Chapter 6. Chapter 8 presents the summary of this study and recommendations for future work.

  7. Dynamic Bayesian Networks for Context-Aware Fall Risk Assessment

    Directory of Open Access Journals (Sweden)

    Gregory Koshmak

    2014-05-01

    Full Text Available Fall incidents among the elderly often occur in the home and can cause serious injuries affecting their independent living. This paper presents an approach where data from wearable sensors integrated in a smart home environment is combined using a dynamic Bayesian network. The smart home environment provides contextual data, obtained from environmental sensors, and contributes to assessing a fall risk probability. The evaluation of the developed system is performed through simulation. Each time step is represented by a single user activity and interacts with a fall sensors located on a mobile device. A posterior probability is calculated for each recognized activity or contextual information. The output of the system provides a total risk assessment of falling given a response from the fall sensor.

  8. Cyanobacteria Assessment Network (CyAN) - 2017 NASA ...

    Science.gov (United States)

    Presentation on the Cyanobacteria Assessment Network (CYAN) and how is supports the environmental management and public use of the U.S. lakes and estuaries by providing a capability of detecting and quantifying algal blooms and related water quality using satellite data records. To be presented to the NASA Science Mission Directorate Earth Science Division Applied Sciences Program at the NASA Water Resources PI Meeting. The meeting had over 65 attendees, including currently funded PIs, participants from Western States Water Council, UCAR, California Department of Water Resources, and Navajo Nation. Some highlights from the meeting included discussions around impact assessment, with a session moderated by VALUABLES as well as a water manager needs panel, lead by WWAO. Each PI presentation also included lessons learned about how to work in applied sciences, ensure partner engagement, and pave the path towards transition.

  9. Multicriteria benefit-risk assessment using network meta-analysis.

    Science.gov (United States)

    van Valkenhoef, Gert; Tervonen, Tommi; Zhao, Jing; de Brock, Bert; Hillege, Hans L; Postmus, Douwe

    2012-04-01

    To enable multicriteria benefit-risk (BR) assessment of any number of alternative treatments using all available evidence from a network of clinical trials. We design a general method for multicriteria decision aiding with criteria measurements from Mixed Treatment Comparison (MTC) analyses. To evaluate the method, we apply it to BR assessment of four second-generation antidepressants and placebo in the setting of a published peer-reviewed systematic review. The analysis without preference information shows that placebo is supported by a wide range of possible preferences. Preference information provided by a clinical expert showed that although treatment with antidepressants is warranted for severely depressed patients, for mildly depressed patients placebo is likely to be the best option. It is difficult to choose between the four antidepressants, and the results of the model indicate a high degree of uncertainty. The designed method enables quantitative BR analysis of alternative treatments using all available evidence from a network of clinical trials. The preference-free analysis can be useful in presenting the results of an MTC considering multiple outcomes. Copyright © 2012 Elsevier Inc. All rights reserved.

  10. Psychosocial assessments for young people: a systematic review examining acceptability, disclosure and engagement, and predictive utility.

    Science.gov (United States)

    Bradford, Sally; Rickwood, Debra

    2012-01-01

    Adolescence and young adulthood are often turbulent periods in a person's life. There are high rates of accidental deaths, suicide, mental health concerns, substance use, and sexual experimentation. Health care professionals need to conduct holistic assessments of clients in these developmental life stages to identify psychosocial risks and provide targeted early intervention and implement prevention strategies. The most useful psychosocial assessments for most health care professionals are those that can provide a complete picture of the young person's life and circumstances. This article identifies psychosocial assessment instruments that can be used as an initial assessment and engagement tool with the general population of young people presenting for health care. We review the psychometric properties of each of the instruments, determining what type of instrument is most acceptable to young people, whether any can increase disclosure and improve engagement between young people and health professionals, and whether they have predictive utility. The search strategy complied with the relevant sections of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. A total of 89 published articles were identified, covering 31 different assessment instruments. Results indicated that those that were self-administered were most acceptable to young people, although it is unclear whether pen-and-paper or computer formats were preferred. Most psychosocial assessments can improve rates of disclosure and enhance engagement between young people and health professionals; however, worryingly, we found evidence that clinicians did not always respond to some of the most serious identified risks. Only for one instrument was there any mention of predictive utility. Future research should employ longitudinal approaches to determine the predictive utility of psychosocial assessments and focus on whether the use of new technologies can improve rates of

  11. Psychosocial assessments for young people: a systematic review examining acceptability, disclosure and engagement, and predictive utility

    Directory of Open Access Journals (Sweden)

    Bradford S

    2012-12-01

    Full Text Available Sally Bradford,1 Debra Rickwood1,21Faculty of Health, University of Canberra, Canberra, 2Headspace National Youth Mental Health Foundation, North Melbourne, AustraliaAbstract: Adolescence and young adulthood are often turbulent periods in a person’s life. There are high rates of accidental deaths, suicide, mental health concerns, substance use, and sexual experimentation. Health care professionals need to conduct holistic assessments of clients in these developmental life stages to identify psychosocial risks and provide targeted early intervention and implement prevention strategies. The most useful psychosocial assessments for most health care professionals are those that can provide a complete picture of the young person’s life and circumstances. This article identifies psychosocial assessment instruments that can be used as an initial assessment and engagement tool with the general population of young people presenting for health care. We review the psychometric properties of each of the instruments, determining what type of instrument is most acceptable to young people, whether any can increase disclosure and improve engagement between young people and health professionals, and whether they have predictive utility. The search strategy complied with the relevant sections of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA statement. A total of 89 published articles were identified, covering 31 different assessment instruments. Results indicated that those that were self-administered were most acceptable to young people, although it is unclear whether pen-and-paper or computer formats were preferred. Most psychosocial assessments can improve rates of disclosure and enhance engagement between young people and health professionals; however, worryingly, we found evidence that clinicians did not always respond to some of the most serious identified risks. Only for one instrument was there any mention of

  12. Assessment of the potential of solar thermal small power systems in small utilities

    Science.gov (United States)

    Steitz, P.; Mayo, L. G.; Perkins, S. P., Jr.

    1978-01-01

    The potential economic benefit of small solar thermal electric power systems to small municipal and rural electric utilities is assessed. Five different solar thermal small power system configurations were considered in three different solar thermal technologies. The configurations included: (1) 1 MW, 2 MW, and 10 MW parabolic dish concentrators with a 15 kW heat engine mounted at the focal point of each dish, these systems utilized advanced battery energy storage; (2) a 10 MW system with variable slat concentrators and central steam Rankine energy conversion, this system utilized sensible thermal energy storage; and (3) a 50 MW central receiver system consisting of a field of heliostats concentrating energy on a tower-mounted receiver and a central steam Rankine conversion system, this system also utilized sensible thermal storage. The results are summarized in terms of break-even capital costs. The break-even capital cost was defined as the solar thermal plant capital cost which would have to be achieved in order for the solar thermal plants to penetrate 10 percent of the reference small utility generation mix by the year 2000. The calculated break-even capital costs are presented.

  13. Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection

    Directory of Open Access Journals (Sweden)

    Alexander C. D. Royal

    2011-01-01

    Full Text Available The successful operation of buried infrastructure within urban environments is fundamental to the conservation of modern living standards. Open-cut methods are predominantly used, in preference to trenchless technology, to effect a repair, replace or install a new section of the network. This is, in part, due to the inability to determine the position of all utilities below the carriageway, making open-cut methods desirable in terms of dealing with uncertainty since the buried infrastructure is progressively exposed during excavation. However, open-cut methods damage the carriageway and disrupt society's functions. This paper describes the progress of a research project that aims to develop a multi-sensor geophysical platform that can improve the probability of complete detection of the infrastructure buried beneath the carriageway. The multi-sensor platform is being developed in conjunction with a knowledge-based system that aims to provide information on how the properties of the ground might affect the sensing technologies being deployed. The fusion of data sources (sensor data and utilities record data is also being researched to maximize the probability of location. This paper describes the outcome of the initial phase of testing along with the development of the knowledge-based system and the fusing of data to produce utility maps.

  14. Wireless Local Area Network (WLAN) Vulnerability Assessment and Security

    National Research Council Canada - National Science Library

    Kessel, Adam; Goodwin, Shane

    2005-01-01

    The proliferation of wireless computer equipment and Local Area Networks (LANs) create an increasingly common and growing threat to Marine Corps Network infrastructure and communication security (COMSEC...

  15. How democratic are Networks?- A framework for Assessing the Democratic Effects of Networks

    DEFF Research Database (Denmark)

    Agger, Annika; Löfgren, Karl

    by an underlying idea of enhancing public participation and mobilising the citizens, thereby strengthening local democracy. Even though much is written about these initiatives, the actual democratic effects of these activities have been notably overlooked in the literature. Both among scholars, as well......: How can we assess the democratic effects of formal network mobilisation?  The article will present a tentative framework deriving criteria from both traditional democratic theory, as well as new theories on democratic governance and collaborative planning, which can be deployed for empirical studies...

  16. Assessment of Novel Routes of Biomethane Utilization in a Life Cycle Perspective

    OpenAIRE

    Elham Ahmadi Moghaddam; Serina Ahlgren; Åke Nordberg

    2016-01-01

    Biomethane, as a replacement for natural gas, reduces the use of fossil-based sources and supports the intended change from fossil to bio-based industry. The study assessed different biomethane utilization routes for production of methanol, dimethyl ether (DME), and ammonia, as fuel or platform chemicals and combined heat and power (CHP). Energy efficiency and environmental impacts of the different pathways was studied in a life cycle perspective covering the technical system from biomass pro...

  17. Nipple-areolar Complex Reconstruction following Postmastectomy Breast Reconstruction: A Comparative Utility Assessment Study

    Directory of Open Access Journals (Sweden)

    Ahmed M. S. Ibrahim, MD

    2015-04-01

    Conclusions: The absence of NAC in a reconstructed breast can be objectively assessed using utility scores (VAS, 0.84 ± 0.18; TTO, 0.92 ± 0.11; SG, 0.92 ± 0.11. In comparison to prior reported conditions, the quality of life in patients choosing to undergo NAC reconstruction is similar to that of persons living with a nasal deformity or an aging neck requiring rejuvenation.

  18. Assessing the Efficient Utilization of Electricity by Domestic Consumers in the Agona District in Central Region

    OpenAIRE

    Enock A. Duodu; Owusu-Sekyere, J.D.

    2015-01-01

    The study assessed the efficient utilization of electricity by domestic consumers in the Agona District. Descriptive survey design was employed in the study. Purposive and simple random sampling techniques were used in selecting five (5) towns and 100 respondents, respectively. A questionnaire as well as interview and observation methods were used in data collection. The data obtained from respondents were analyzed using frequencies and percentages. The study revealed that almost two-thirds (...

  19. Interference Calculus A General Framework for Interference Management and Network Utility Optimization

    CERN Document Server

    Schubert, Martin

    2012-01-01

    This book develops a mathematical framework for modeling and optimizing interference-coupled multiuser systems. At the core of this framework is the concept of general interference functions, which provides a simple means of characterizing interdependencies between users. The entire analysis builds on the two core axioms scale-invariance and monotonicity. The proposed network calculus has its roots in power control theory and wireless communications. It adds theoretical tools for analyzing the typical behavior of interference-coupled networks. In this way it complements existing game-theoretic approaches. The framework should also be viewed in conjunction with optimization theory. There is a fruitful interplay between the theory of interference functions and convex optimization theory. By jointly exploiting the properties of interference functions, it is possible to design algorithms that outperform general-purpose techniques that only exploit convexity. The title “network calculus” refers to the fact tha...

  20. Gift-giving and network structure in rural China: utilizing long-term spontaneous gift records.

    Science.gov (United States)

    Chen, Xi

    2014-01-01

    The tradition of keeping written records of gift received during household ceremonies in many countries offers researchers an underutilized means of data collection for social network analysis. This paper first summarizes unique features of the gift record data that circumvent five prevailing sampling and measurement issues in the literature, and we discuss their advantages over existing studies at both the individual level and the dyadic link level using previous data sources. We then document our research project in rural China that implements a multiple wave census-type household survey and a long-term gift record collection. The pattern of gift-giving in major household social events and its recent escalation is analyzed. There are significantly positive correlations between gift network centrality and various forms of informal insurance. Finally, economic inequality and competitive marriage market are among the main demographic and socioeconomic determinants of the observed gift network structure.

  1. Gift-giving and network structure in rural China: utilizing long-term spontaneous gift records.

    Directory of Open Access Journals (Sweden)

    Xi Chen

    Full Text Available The tradition of keeping written records of gift received during household ceremonies in many countries offers researchers an underutilized means of data collection for social network analysis. This paper first summarizes unique features of the gift record data that circumvent five prevailing sampling and measurement issues in the literature, and we discuss their advantages over existing studies at both the individual level and the dyadic link level using previous data sources. We then document our research project in rural China that implements a multiple wave census-type household survey and a long-term gift record collection. The pattern of gift-giving in major household social events and its recent escalation is analyzed. There are significantly positive correlations between gift network centrality and various forms of informal insurance. Finally, economic inequality and competitive marriage market are among the main demographic and socioeconomic determinants of the observed gift network structure.

  2. Fast computation of minimal cut sets in metabolic networks with a Berge algorithm that utilizes binary bit pattern trees.

    Science.gov (United States)

    Jungreuthmayer, Christian; Beurton-Aimar, Marie; Zanghellini, Jürgen

    2013-01-01

    Minimal cut sets are a valuable tool for analyzing metabolic networks and for identifying optimal gene intervention strategies by eliminating unwanted metabolic functions and keeping desired functionality. Minimal cut sets rely on the concept of elementary flux modes, which are sets of indivisible metabolic pathways under steady-state condition. However, the computation of minimal cut sets is nontrivial, as even medium-sized metabolic networks with just 100 reactions easily have several hundred million elementary flux modes. We developed a minimal cut set tool that implements the well-known Berge algorithm and utilizes a novel approach to significantly reduce the program run time by using binary bit pattern trees. By using the introduced tree approach, the size of metabolic models that can be analyzed and optimized by minimal cut sets is pushed to new and considerably higher limits.

  3. Practice Innovation, Health Care Utilization and Costs in a Network of Federally Qualified Health Centers and Hospitals for Medicaid Enrollees.

    Science.gov (United States)

    Johnson, Tricia J; Jones, Art; Lulias, Cheryl; Perry, Anthony

    2017-07-27

    State Medicaid programs need cost-effective strategies to provide high-quality care that is accessible to individuals with low incomes and limited resources. Integrated delivery systems have been formed to provide care across the continuum, but creating a shared vision for improving community health can be challenging. Medical Home Network was created as a network of primary care providers and hospital systems providing care to Medicaid enrollees, guided by the principles of egalitarian governance, practice-level care coordination, real-time electronic alerts, and pay-for-performance incentives. This analysis of health care utilization and costs included 1,189,195 Medicaid enrollees. After implementation of Medical Home Network, a risk-adjusted increase of $9.07 or 4.3% per member per month was found over the 2 years of implementation compared with an increase of $17.25 or 9.3% per member per month, before accounting for the cost of care management fees and other financial incentives, for Medicaid enrollees within the same geographic area with a primary care provider outside of Medical Home Network. After accounting for care coordination fees paid to providers, the net risk-adjusted cost reduction was $11.0 million.

  4. Utility of Social Modeling in Assessment of a State’s Propensity for Nuclear Proliferation

    Energy Technology Data Exchange (ETDEWEB)

    Coles, Garill A.; Brothers, Alan J.; Whitney, Paul D.; Dalton, Angela C.; Olson, Jarrod; White, Amanda M.; Cooley, Scott K.; Youchak, Paul M.; Stafford, Samuel V.

    2011-06-01

    This report is the third and final report out of a set of three reports documenting research for the U.S. Department of Energy (DOE) National Security Administration (NASA) Office of Nonproliferation Research and Development NA-22 Simulations, Algorithms, and Modeling program that investigates how social modeling can be used to improve proliferation assessment for informing nuclear security, policy, safeguards, design of nuclear systems and research decisions. Social modeling has not to have been used to any significant extent in a proliferation studies. This report focuses on the utility of social modeling as applied to the assessment of a State's propensity to develop a nuclear weapons program.

  5. International Regulations and Recommendations for Utility Data for Health Technology Assessment.

    Science.gov (United States)

    Rowen, Donna; Azzabi Zouraq, Ismail; Chevrou-Severac, Helene; van Hout, Ben

    2017-10-19

    Recommendations and guidelines for the collection, generation, source and usage of utility data for health technology assessment (HTA) vary across different countries, with no international consensus. Many international agencies generate their own guidelines providing details on their preferred methods for HTA submissions, and there is variability in both what they recommend and the clarity and amount of detail provided in their guidelines. This article provides an overview of international regulations and recommendations for utility data in HTA for a selection of key HTA countries: Australia, Canada, France, Germany, the Netherlands, Spain (Catalonia), Sweden and the UK (England/Wales and Scotland). International guidelines are typically clear and detailed for the selection of countries assessed regarding the source description of health states (e.g. generic preference-based measure) and who should provide preference weights for these health states (e.g. general population for own country). Many guidelines specify the use of off-the-shelf generic preference-based measures, and some further specify a measure, such as EQ-5D. However, international guidelines are either unclear or lack detailed guidance regarding the collection (e.g. patients report own health), source (e.g. clinical trial) and usage (e.g. adjusting for comorbidities) of utility values. It is argued that there is a need for transparent and detailed international guidelines on utility data recommendations to provide decision makers with the best possible evidence. Where this is not possible it is recommended that best practice should be used to inform the collection, source and usage of utility values in HTA.

  6. Mesh Networks within A Distributed Operations Framework Utilizing IP Based Radios

    Science.gov (United States)

    2007-09-01

    THIS PAGE INTENTIONALLY LEFT BLANK xiii ACRONYMS AND ABBREVIATIONS AES Advanced Encryption Algorithm AO Area...Network Topology VAP Virtual Access Point VIRT Valuable Information at the Right Time VOIP Voice Over Internet Protocol WEP Wired Equivalent...established for 802.11 (WPA and WEP ) have known vulnerabilities45 that compromise their integrity and effectiveness on the battlefield

  7. The Connectome Visualization Utility: Software for Visualization of Human Brain Networks

    NARCIS (Netherlands)

    LaPlante, R.A.; Douw, L.; Tang, W.; Stufflebeam, S.M.

    2014-01-01

    In analysis of the human connectome, the connectivity of the human brain is collected from multiple imaging modalities and analyzed using graph theoretical techniques. The dimensionality of human connectivity data is high, and making sense of the complex networks in connectomics requires

  8. Utilizing Social Network Services for Enhanced Communication with Elderly Living at Home

    DEFF Research Database (Denmark)

    Wagner, Stefan

    2009-01-01

    This paper discusses whether social network services, like Facebook and Twitter, may be used by elderly living in their own homes to enhance communication with their relatives and friends. It introduces a prototype solution based on the iRobot Roomba 560, iRobot, USA, robot vacuum cleaner, which...

  9. LOCAL AREA NETWORK MANAGEMENT (Case Study at Assessment and Development Information Technology Units Brawijaya University Malang)

    OpenAIRE

    Hadiwijaya, Mohammad Firman

    2015-01-01

    The purpose of this study was to know the management local area network at Assessment and Development Information Technology units, furthermore this study focusing on network management functions that applied by Assessment and Development Information Technology Units. This study will explain about the implementation of network management functions in the local area network management. The research method employ in this research is by using descriptive qualitative method by study case approach...

  10. High Resolution Tsunami Vulnerability Assessment for Coastal Utilities; Case Studies in the Sea of Marmara

    Science.gov (United States)

    Yalciner, A. C.; Aytore, B.; Cankaya, C.; Guler, H. G.; Suzen, L.; Zaytsev, A.; Arikawa, T.; Takashi, T.

    2014-12-01

    Resilience of coastal utilities against earthquakes and tsunamis have major importance for efficient and proper rescue and recovery operations soon after disasters. Istanbul as a mega city have long coastline and strongly interact with Marmara sea with its dense coastal utilization. Yenikapi region and Haydarpasa port are two of major coastal utilities. Haydarpasa port has critical components such as the main transportation hub at Asian side of megacity Istanbul, cargo and container stock areas, ro-ro handling operations and passenger terminals. Yenikapi area serves different coastal activities and marine passenger transportation in the Marmara sea. High resolution GIS database of the Istanbul Metropolitan Municipality (IMM) is analyzed and detaled bathymetry and topography database is developed considering vulnerability of the near shore structures and buildings. Two different tsunami numerical models i) NAMIDANCE code (2-Dimensional, depth averaged shallow water model with dispersion hybrid model) and ii) STOC-CADMAS System (Quasi 3-Dimensional in large domains and 3-Dimensional in small domains hybrid model) are used in nested domain in simulations. In this study the accurate vulnerability assessments of these coastal utilities are performed by utilizing high performance computing technology with high resolution bathymetry and topography data for Haydarpasa and Yenikapi regions based on accurate GIS data. The results of computed 2D and 3D numerical models and also the achievements by high performance Computing systems are evaluated. As the result, the computed tsunami parameters inside the coastal utilities are compared and discussed to clarify the benefits of using high resolution data and using the 2D and 3D numerical models.

  11. Coupling of ground biosensor networks for water monitoring with satellite observations in assessing Leptospirosis

    Science.gov (United States)

    Skouloudis, A. N.; Rickerby, D. G.

    2012-12-01

    Leptospirosis became recently a major public-health problem that is closely related with the environment (Nature review Oct 2009, Vol 7, pp 736-747). This disease originates from zoonotic pathogens associated with asymptomatic rodent carriers. Unfortunately, it effects human populations via various direct and indirect routes. This disease can claim many victims with large outbreaks during natural disasters or floods occurring during seasonal conditions. The severity of the illness ranges from subclinical infection to a fulminating fatal disease. Improved water quality monitoring techniques based on biosensor, optical, micro-fluidic and information technologies are leading to radical changes in our ability to perceive and monitor the aquatic environment. Biosensors are capable of providing specific, high spatial resolution information and allow unattended operation that will be particularly useful for water borne related diseases. Current research on biosensors is leading to solutions to problems for several contaminants that were previously irresolvable due to their high degree of complexity. Networking of the sensors enables sensitive monitoring systems allowing real-time monitoring of pollutants and facilitates data transmission between the measurement points and central control stations for continuous surveillance and to provide an early warning capability. The application of intelligent biosensor networks for water quality monitoring and detection of localized sources of pollution are discussed together with the setting up of a methodology that utilizes images from satellite coupled with in-situ sensors for anticipating the zones of potential evolution of this disease and assessing the population at risk. Environmental and climatic conditions that are associated the outbreaks are described and the rational of combining earth observations coupled with advanced in-situ biosensors is explained. The implementation of sensor networks for data collection and exposure

  12. Analysis of a utility-interactive wind-photovoltaic hybrid system with battery storage using neural network

    Science.gov (United States)

    Giraud, Francois

    1999-10-01

    This dissertation investigates the application of neural network theory to the analysis of a 4-kW Utility-interactive Wind-Photovoltaic System (WPS) with battery storage. The hybrid system comprises a 2.5-kW photovoltaic generator and a 1.5-kW wind turbine. The wind power generator produces power at variable speed and variable frequency (VSVF). The wind energy is converted into dc power by a controlled, tree-phase, full-wave, bridge rectifier. The PV power is maximized by a Maximum Power Point Tracker (MPPT), a dc-to-dc chopper, switching at a frequency of 45 kHz. The whole dc power of both subsystems is stored in the battery bank or conditioned by a single-phase self-commutated inverter to be sold to the utility at a predetermined amount. First, the PV is modeled using Artificial Neural Network (ANN). To reduce model uncertainty, the open-circuit voltage VOC and the short-circuit current ISC of the PV are chosen as model input variables of the ANN. These input variables have the advantage of incorporating the effects of the quantifiable and non-quantifiable environmental variants affecting the PV power. Then, a simplified way to predict accurately the dynamic responses of the grid-linked WPS to gusty winds using a Recurrent Neural Network (RNN) is investigated. The RNN is a single-output feedforward backpropagation network with external feedback, which allows past responses to be fed back to the network input. In the third step, a Radial Basis Functions (RBF) Network is used to analyze the effects of clouds on the Utility-Interactive WPS. Using the irradiance as input signal, the network models the effects of random cloud movement on the output current, the output voltage, the output power of the PV system, as well as the electrical output variables of the grid-linked inverter. Fourthly, using RNN, the combined effects of a random cloud and a wind gusts on the system are analyzed. For short period intervals, the wind speed and the solar radiation are considered as

  13. Assessing interdependent operational, tactical and strategic risks for improved utility master plans.

    Science.gov (United States)

    Luís, Ana; Lickorish, Fiona; Pollard, Simon

    2015-05-01

    Risk management plays a key role in water utilities. Although risk tools are well-established at operational levels, approaches at the strategic level are rarely informed by systemic assessments of the water supply and lack a long-term perspective. Here, we report a baseline strategic risk analysis, founded on a systemic analysis of operational risks developed 'bottom-up' and validated in a large water utility. Deploying an action-oriented research method, supported by semi- structured interviews with in-house water utility risk experts, deep connections are established between operational risk and strategic risk that surpass those existing elsewhere in the sector. Accessible presentational formats - influence diagrams, risk "heat-maps" and supporting narratives are used to promote Board-level risk discussions, and characterise a baseline set of strategic risks core to forward utility master planning. Uniquely, the influence of operational events, exposures and potential harms, together with the mitigating measures in place to mediate these risks are linked to corporate objectives on business sustainability, profitability, water quality, water quantity, supply disruption and reputation. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. Radiological site assessment at sun rose claim utilizing ScanPlot{sup SM} technology

    Energy Technology Data Exchange (ETDEWEB)

    Downey, H., E-mail: heath.downey@amecfw.com [Amec Foster Wheeler, Portland, ME (United States)

    2015-07-01

    ScanPlot{sup SM} gamma spectroscopy land survey system was utilized for the overland survey of uranium at the Sun Rose Claim in the Northwest Territories. The Sun Rose Claim is a former uranium exploration site and previous investigations had identified uranium ore and waste rock. ScanPlot{sup SM} radiological scan surveys were performed utilizing a backpack system. ScanPlot{sup SM} platform utilized spectroscopy grade sodium iodide detectors configured for optimal spatial coverage and radiation detection. Survey locations were recorded using an on-board global positioning system (GPS). The radiological spectral data from the radiation detectors is automatically logged and linked with the GPS coordinates to an on-board computer to create isocontour figures using a color scale to represent radioactivity levels. The advantage of utilizing the ScanPlot{sup SM} system for this assessment is that the nature and extent of uranium is provided without having to collect and assay a large number of samples. (author)

  15. Assessing Requirements Volatility and Risk Using Bayesian Networks

    Science.gov (United States)

    Russell, Michael S.

    2010-01-01

    There are many factors that affect the level of requirements volatility a system experiences over its lifecycle and the risk that volatility imparts. Improper requirements generation, undocumented user expectations, conflicting design decisions, and anticipated / unanticipated world states are representative of these volatility factors. Combined, these volatility factors can increase programmatic risk and adversely affect successful system development. This paper proposes that a Bayesian Network can be used to support reasonable judgments concerning the most likely sources and types of requirements volatility a developing system will experience prior to starting development and by doing so it is possible to predict the level of requirements volatility the system will experience over its lifecycle. This assessment offers valuable insight to the system's developers, particularly by providing a starting point for risk mitigation planning and execution.

  16. Dynamic safety assessment of natural gas stations using Bayesian network

    Energy Technology Data Exchange (ETDEWEB)

    Zarei, Esmaeil, E-mail: smlzarei65@gmail.com [Center of Excellence for Occupational Health Engineering, Research Center for Health Sciences, Faculty of Health, Hamadan University of Medical Sciences, Hamadan (Iran, Islamic Republic of); Azadeh, Ali [School of Industrial and Systems Engineering, Center of Excellence for Intelligent-Based Experimental Mechanic, College of Engineering, University of Tehran (Iran, Islamic Republic of); Khakzad, Nima [Safety and Security Science Section, Delft University of Technology, Delft (Netherlands); Aliabadi, Mostafa Mirzaei [Center of Excellence for Occupational Health Engineering, Research Center for Health Sciences, Faculty of Health, Hamadan University of Medical Sciences, Hamadan (Iran, Islamic Republic of); Mohammadfam, Iraj, E-mail: mohammadfam@umsha.ac.ir [Center of Excellence for Occupational Health Engineering, Research Center for Health Sciences, Faculty of Health, Hamadan University of Medical Sciences, Hamadan (Iran, Islamic Republic of)

    2017-01-05

    Graphical abstract: Dynamic cause-consequence analysis of the regulator system failure using BN. - Highlights: • A dynamic and comprehensive QRA (DCQRA) framework is proposed for safety assessment of CGSs. • Bow-tie diagram and Bayesian network are employed for accident scenario modeling. • Critical basic events and minimal cut sets are identified using probability updating. - Abstract: Pipelines are one of the most popular and effective ways of transporting hazardous materials, especially natural gas. However, the rapid development of gas pipelines and stations in urban areas has introduced a serious threat to public safety and assets. Although different methods have been developed for risk analysis of gas transportation systems, a comprehensive methodology for risk analysis is still lacking, especially in natural gas stations. The present work is aimed at developing a dynamic and comprehensive quantitative risk analysis (DCQRA) approach for accident scenario and risk modeling of natural gas stations. In this approach, a FMEA is used for hazard analysis while a Bow-tie diagram and Bayesian network are employed to model the worst-case accident scenario and to assess the risks. The results have indicated that the failure of the regulator system was the worst-case accident scenario with the human error as the most contributing factor. Thus, in risk management plan of natural gas stations, priority should be given to the most probable root events and main contribution factors, which have identified in the present study, in order to reduce the occurrence probability of the accident scenarios and thus alleviate the risks.

  17. Social autopsy: INDEPTH Network experiences of utility, process, practices, and challenges in investigating causes and contributors to mortality

    Directory of Open Access Journals (Sweden)

    Yevoo Lucy

    2011-08-01

    Full Text Available Abstract Background Effective implementation of child survival interventions depends on improved understanding of cultural, social, and health system factors affecting utilization of health care. Never the less, no standardized instrument exists for collecting and interpreting information on how to avert death and improve the implementation of child survival interventions. Objective To describe the methodology, development, and first results of a standard social autopsy tool for the collection of information to understand common barriers to health care, risky behaviors, and missed opportunities for health intervention in deceased children under 5 years old. Methods Under the INDEPTH Network, a social autopsy working group was formed to reach consensus around a standard social autopsy tool for neonatal and child death. The details around 434 child deaths in Iganga/Mayuge Health and Demographic Surveillance Site (HDSS in Uganda and 40 child deaths in Dodowa HDSS in Ghana were investigated over 12 to 18 months. Interviews with the caretakers of these children elicited information on what happened before death, including signs and symptoms, contact with health services, details on treatments, and details of doctors. These social autopsies were used to assess the contributions of delays in care seeking and case management to the childhood deaths. Results At least one severe symptom had been recognized prior to death in 96% of the children in Iganga/Mayuge HDSS and in 70% in Dodowa HDSS, yet 32% and 80% of children were first treated at home, respectively. Twenty percent of children in Iganga/Mayuge HDSS and 13% of children in Dodowa HDSS were never taken for care outside the home. In both countries most went to private providers. In Iganga/Mayuge HDSS the main delays were caused by inadequate case management by the health provider, while in Dodowa HDSS the main delays were in the home. Conclusion While delay at home was a main obstacle to prompt and

  18. Optical alignment procedure utilizing neural networks combined with Shack-Hartmann wavefront sensor

    Science.gov (United States)

    Adil, Fatime Zehra; Konukseven, Erhan İlhan; Balkan, Tuna; Adil, Ömer Faruk

    2017-05-01

    In the design of pilot helmets with night vision capability, to not limit or block the sight of the pilot, a transparent visor is used. The reflected image from the coated part of the visor must coincide with the physical human sight image seen through the nonreflecting regions of the visor. This makes the alignment of the visor halves critical. In essence, this is an alignment problem of two optical parts that are assembled together during the manufacturing process. Shack-Hartmann wavefront sensor is commonly used for the determination of the misalignments through wavefront measurements, which are quantified in terms of the Zernike polynomials. Although the Zernike polynomials provide very useful feedback about the misalignments, the corrective actions are basically ad hoc. This stems from the fact that there exists no easy inverse relation between the misalignment measurements and the physical causes of the misalignments. This study aims to construct this inverse relation by making use of the expressive power of the neural networks in such complex relations. For this purpose, a neural network is designed and trained in MATLAB® regarding which types of misalignments result in which wavefront measurements, quantitatively given by Zernike polynomials. This way, manual and iterative alignment processes relying on trial and error will be replaced by the trained guesses of a neural network, so the alignment process is reduced to applying the counter actions based on the misalignment causes. Such a training requires data containing misalignment and measurement sets in fine detail, which is hard to obtain manually on a physical setup. For that reason, the optical setup is completely modeled in Zemax® software, and Zernike polynomials are generated for misalignments applied in small steps. The performance of the neural network is experimented and found promising in the actual physical setup.

  19. Solid-Liquid Interfacial Effects on Residual Oil Distribution Utilizing Three-Dimensional Micro Network Models

    Directory of Open Access Journals (Sweden)

    Weiyao Zhu

    2017-12-01

    Full Text Available A number of experiments on fluid flow at the micro/nano-scale have demonstrated that flow velocity obviously deviates from the classical Poiseuille’s law due to the micro forces between the wall and the fluid. Based on an oil–water two-phase network simulation model, a three-dimensional pore-scale micro network model with solid–liquid interfacial effects was established. The influences of solid–liquid interface effects including van der Waals force and wettability on the residual oil distribution and relative permeability were investigated through microscopic simulation. The effects of pore radius, pore–throat size ratio, shaping factor, and coordination number on the residual oil distribution were analyzed at the same time. The results showed that the oil recovery would be overestimated by about 4% without van der Waals force in a water-wet reservoir. The impact of van der Waals force on water-wet reservoirs was significantly obvious in contrast with oil-wet reservoirs. In addition, the residual oil distribution was significantly influenced by pore radius in water-wet reservoir, comparatively influenced by pore–throat size ratio in oil-wet reservoir. The present study illustrates the successful application of three-dimensional micro network models considering solid–liquid interfacial effects, and provides new insights for oil recovery enhancement.

  20. Utilizing toxicogenomic data to understand chemical mechanism of action in risk assessment

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Vickie S., E-mail: wilson.vickie@epa.gov [National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States); Keshava, Nagalakshmi [National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, 1200 Pennsylvania Ave., NW, Washington, DC 20460 (United States); Hester, Susan [National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States); Segal, Deborah; Chiu, Weihsueh [National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, 1200 Pennsylvania Ave., NW, Washington, DC 20460 (United States); Thompson, Chad M. [ToxStrategies, Inc., 23501 Cinco Ranch Blvd., Suite G265, Katy, TX 77494 (United States); Euling, Susan Y. [National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, 1200 Pennsylvania Ave., NW, Washington, DC 20460 (United States)

    2013-09-15

    The predominant role of toxicogenomic data in risk assessment, thus far, has been one of augmentation of more traditional in vitro and in vivo toxicology data. This article focuses on the current available examples of instances where toxicogenomic data has been evaluated in human health risk assessment (e.g., acetochlor and arsenicals) which have been limited to the application of toxicogenomic data to inform mechanism of action. This article reviews the regulatory policy backdrop and highlights important efforts to ultimately achieve regulatory acceptance. A number of research efforts on specific chemicals that were designed for risk assessment purposes have employed mechanism or mode of action hypothesis testing and generating strategies. The strides made by large scale efforts to utilize toxicogenomic data in screening, testing, and risk assessment are also discussed. These efforts include both the refinement of methodologies for performing toxicogenomics studies and analysis of the resultant data sets. The current issues limiting the application of toxicogenomics to define mode or mechanism of action in risk assessment are discussed together with interrelated research needs. In summary, as chemical risk assessment moves away from a single mechanism of action approach toward a toxicity pathway-based paradigm, we envision that toxicogenomic data from multiple technologies (e.g., proteomics, metabolomics, transcriptomics, supportive RT-PCR studies) can be used in conjunction with one another to understand the complexities of multiple, and possibly interacting, pathways affected by chemicals which will impact human health risk assessment.

  1. [Assessment of farmland soil quality under different utilization intensity in arid area].

    Science.gov (United States)

    Gui, Dong-Wei; Mu, Gui-Jin; Lei, Jia-Qiang; Zeng, Fan-Jiang; Wang, Hui

    2009-04-01

    Based on the 2005-2007 experimental data in Cele oasis in the southern margin of Tarim Basin of Xinjiang, the soil quality of four typical types of farmland with different utilization intensity, i.e., farmland with high input, farmland with normal input, newly reclaimed farmland, and farmland in oasis' interior, was analyzed and assessed by using sustainable yield index, soil improvement index, and soil quality synthesis index. Among the farmlands, there were significant differences in the contents of soil organic matter, available nitrogen, and available phosphorus. Newly reclaimed farmland had the lowest level of soil quality, while the farmland in oasis' interior had relatively higher soil quality. This study could help the reasonable exploitation and utilization of farmlands in Cele oasis, and the protection of local farmland eco-environment.

  2. Assessing the clinical utility of agoraphobia in the context of panic disorder.

    Science.gov (United States)

    Schmidt, Norman B; Cromer, Kiara R

    2008-01-01

    In the DSM-IV, a panic disorder (PD) diagnosis includes specification of agoraphobia, which is primarily an index of situational avoidance due to fear of panic. No other anxiety diagnosis requires specification of level of avoidance. This raises the question as to whether agoraphobia provides unique information beyond the core features of PD (i.e., panic attacks and panic-related worry). The incremental validity of agoraphobia, defined using DSM-IV specifiers versus level of situational avoidance, was examined in relation to the expression and treatment of PD (N=146). Analyses indicate that agoraphobia status adds uniquely to the prediction of PD symptoms, impairment, and response to treatment. However, level of situational avoidance, defined either as a continuous or dichotomous variable, appears to have greater utility compared to the DSM-IV method of classifying agoraphobia. In summary, the agoraphobia specifier seems to have clinical utility but this could be improved by focusing on a dimensional assessment of situational avoidance.

  3. Results from utility wind resource assessment programs in Nebraska, Colorado, and Arizona

    Energy Technology Data Exchange (ETDEWEB)

    Drapeau, C.L. [Global Energy Concepts, Inc., Bothell, WA (United States)

    1997-12-31

    Global Energy Concepts (GEC) has been retained by utilities in Colorado, Nebraska, and Arizona to site, install, and operate 21 wind monitoring stations as part of the Utility Wind Resource Assessment Program (U*WRAP). Preliminary results indicate wind speed averages at 40 meters (132 ft) of 6.5 - 7.4 m/s (14.5-16.5 mph) in Nebraska and 7.6 - 8.9 m/s (17.0-19.9 mph) in Colorado. The Arizona stations are not yet operational. This paper presents the history and current status of the 21 monitoring stations as well as preliminary data results. Information on wind speeds, wind direction, turbulence intensity, wind shear, frequency distribution, and data recovery rates are provided.

  4. Clinical utility of Standardised Assessment of Personality - Abbreviated Scale (SAPAS) among patients with first episode depression

    DEFF Research Database (Denmark)

    Bukh, Jens Drachmann; Bock, Camilla; Vinberg, Maj

    2010-01-01

    BACKGROUND: Personality disorder frequently co-occurs with depression and seems to be associated with a poorer outcome of treatment and increased risk for recurrences. However, the diagnosing of personality disorder can be lengthy and requires some training. Therefore, a brief screening interview...... for comorbid personality disorder among patients suffering from depression would be of clinical use. METHOD: The present study aimed to assess the utility of the Standardised Assessment of Personality - Abbreviated Scale (SAPAS) as a screen for personality disorder in a population of patients recently...... diagnosed with first episode depression. A total number of 394 patients with an ICD-10 diagnosis of a single depressive episode were sampled consecutively via the Danish Psychiatric Central Research Register during a 2years inclusion period and assessed by the screening interview and, subsequently...

  5. The Application of Spreadsheet Model Based on Queuing Network to Optimize Capacity Utilization in Product Development

    OpenAIRE

    Muhammad Marsudi; Dzuraidah Abdul Wahab; Che Hasan Che Haron

    2009-01-01

    Modeling of a manufacturing system enables one to identify the effects of key design parameters on the system performance and as a result make the correct decision. This paper proposes a manufacturing system modeling approach using computer spreadsheet software, in which a static capacity planning model and stochastic queuing model are integrated. The model was used to optimize the existing system utilization in relation to product design. The model incorporates a few parameters such as utili...

  6. Exploration of health dimensions to be included in multi-attribute health-utility assessment.

    Science.gov (United States)

    Perneger, Thomas V; Courvoisier, Delphine S

    2011-02-01

    Measurement of health utility is important for quality improvement, but instruments vary in their content. Multi-attribute health utility measures typically assess a small number of health problems, e.g. the EuroQoL EQ-5D questionnaire explores five dimensions of health. We aimed to examine whether a small number of dimensions explains a sufficient amount of variance in self-perceived health, and what can be gained from adding additional dimensions. Cross-sectional mail survey that explored health utility and self-perceived health. General resident population of French-speaking Switzerland. Non-institutionalized adults. EQ-5D (which measures mobility, self-care, usual activities, pain/discomfort, anxiety/depression and a visual analogue health scale between 0 and 100 (VAS)). A subsample rated five additional health dimensions (sleep, memory/concentration, energy/fatigue, sight/hearing, contacts with others). In total, 349 adults returned the extended 10-item questionnaire. All added items were strongly and significantly associated with the VAS for perceived health. The proportion of variance explained (R(2)) in the VAS was 0.47 for the original EQ-5D items (adjusted for attenuation: 0.65), 0.47 for the new items (adjusted for attenuation: 0.65) and 0.56 for the 10 items together (adjusted for attenuation: 0.78). Forty-four percent of the respondents who had a perfect health utility on the EQ-5D reported at least one problem in the new health dimensions. Self-perceived health among the general public is influenced by more health dimensions than are typically measured in a multi-attribute health-utility instrument.

  7. An urban flood risk assessment method using the Bayesian Network approach

    DEFF Research Database (Denmark)

    Åström, Helena Lisa Alexandra

    the Bayesian Network (BN) approach is developed, and the method is exemplified in an urban catchment. BNs have become an increasingly popular method for describing complex systems and aiding decision-making under uncertainty. In environmental management, BNs have mainly been utilized in ecological assessments...... circulation influences local and regional climate and is considered an important factor when aiming at improving our understanding of local weather conditions and the occurrence of extreme events. Hence, this thesis presents a study that explores the relationship between flood generating hazards and large......-scale atmospheric circulation. This thesis concludes that IDs can serve as a good approach for describing the complex system in which flood risk occurs. The final product is a spatiotemporal FRA approach that can include the impacts from multiple hazards....

  8. Network Modeling and Assessment of Ecosystem Health by a Multi-Population Swarm Optimized Neural Network Ensemble

    Directory of Open Access Journals (Sweden)

    Rong Shan

    2016-06-01

    Full Text Available Society is more and more interested in developing mathematical models to assess and forecast the environmental and biological health conditions of our planet. However, most existing models cannot determine the long-range impacts of potential policies without considering the complex global factors and their cross effects in biological systems. In this paper, the Markov property and Neural Network Ensemble (NNE are utilized to construct an estimated matrix that combines the interaction of the different local factors. With such an estimation matrix, we could obtain estimated variables that could reflect the global influence. The ensemble weights are trained by multiple population algorithms. Our prediction could fit the real trend of the two predicted measures, namely Morbidity Rate and Gross Domestic Product (GDP. It could be an effective method of reflecting the relationship between input factors and predicted measures of the health of ecosystems. The method can perform a sensitivity analysis, which could help determine the critical factors that could be adjusted to move the ecosystem in a sustainable direction.

  9. Wind Resource Assessment and Forecast Planning with Neural Networks

    Directory of Open Access Journals (Sweden)

    Nicolus K. Rotich

    2014-06-01

    Full Text Available In this paper we built three types of artificial neural networks, namely: Feed forward networks, Elman networks and Cascade forward networks, for forecasting wind speeds and directions. A similar network topology was used for all the forecast horizons, regardless of the model type. All the models were then trained with real data of collected wind speeds and directions over a period of two years in the municipal of Puumala, Finland. Up to 70th percentile of the data was used for training, validation and testing, while 71–85th percentile was presented to the trained models for validation. The model outputs were then compared to the last 15% of the original data, by measuring the statistical errors between them. The feed forward networks returned the lowest errors for wind speeds. Cascade forward networks gave the lowest errors for wind directions; Elman networks returned the lowest errors when used for short term forecasting.

  10. Specific, Measureable, Attainable, Relevant, and Timely (SMART) Documents: Utilized in Assessing Socioeconomic Impacts of Cascading Infrastructure Disruptions

    Science.gov (United States)

    2017-02-01

    Wi-Fi network for 911/emergency services? YES C2a. Does the government issue information over the cellular/Wi-Fi network? YES NO NO C3...are most critical to the local populations . Additionally this information will help determine how vulnerable the population is to environmental ...government issue information over the cellular/Wi-Fi network? Choice of Answers YES / NO Purpose of Question Assesses whether government or

  11. Uncertainty management in telecommunications uninterruptible power supply systems and on their network by utilizing human reasoning methodology

    Energy Technology Data Exchange (ETDEWEB)

    Suntio, T.

    1992-01-01

    The uninterruptible power supply (UPS) systems are used to supply quality power to critical systems such as computers, telephone exchanges, etc. The lack of energy in public power lines is of concern and has to be rectified. Quality power is, therefore, a flow of energy containing controlled amount of uncertainty about its continuity. The reserve energy stored in the UPS system carries out the basic reduction of the uncertainty caused by public power lines. The physical structure of the UPS system and the people maintaining the power system will increase the uncertainty. The main objectives of uncertainty management are to ensure that there is enough reserve energy and to minimize the additional uncertainties. This task can be carried out by optimally utilizing both the human beings and machines. The philosophy of the suggested management scheme is based on distributed decision making and centralized verification of these decisions. The on-site supervision facilities take care of distributed decision making by utilizing human reasoning. The alarm messages contain the most probable explanation of the available evidence. The network management facilities of her information in such a form that supports the human way of reasoning and thereby, effectively enables the centralized verification of the situation in the power system. The credibility of alarm issuing is of prime concern and it can be maintained by utilizing human reasoning. Uncertainty management is studied especially in Telecommunications domain, but most of the results obtained are applicable to computer domain also. The sources of the uncertainties are systematically identified and studied by using reliability techniques and finally a network wide solution is suggested.

  12. Environmental assessment of a program to reduce oil and gas consumption by electric utilities

    Energy Technology Data Exchange (ETDEWEB)

    1980-03-01

    An environmental assessment is presented of a program aimed at reducing oil and gas consumption in electric utility power plants by the equivalent of approximately 10/sup 6/ barrels per day by 1990. The program would mandate the conversion of 45 power plants (approximately 21 GW) to coal and would provide financial incentives for the accelerated replacement of other existing oil- and gas-fired plants (estimated to be 30 GW) by new coal-fired plants or other acceptable alternatives. The report analyzes the air quality impacts of potential increases in sulfur dioxide, nitrogen oxides, and particulate matter emissions associated with the program. The assessment also considers potential solid waste, coal production and transportation, and public health and welfare impacts. The Coal and Electric Utilities Model (CEUM) of ICF, Incorporated, was used to generate the numerical data on which the assessment is based. Impacts are presented at the national and regional levels, with some discussion of possible local air quality effects of conversion of specific plants.

  13. Variable Valve Timing Scheduling in a 4-Stroke Internal Combustion Cylinder Utilizing Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    Sepehr Bapiri

    2017-09-01

    Full Text Available The apparently simple structure of a four-stroke internal combustion cylinder belies the complicated problem of optimizing valve operation in response to a change in crankshaft rotation speed. The objective of this study was to determine the cylinder pressure for valve event angles in order to determine the optimal strategy for the timing of valve events when independently-actuated valves are available. In this work, an artificial neural network is applied to create a prediction matrix to anticipate the best variable valve timing approach according to rotation speed.

  14. Awareness and Utilization of Classroom Assessment Techniques in Higher Education: The Case of a State College in Bicol

    Directory of Open Access Journals (Sweden)

    Seth B. Barandon

    2016-05-01

    Full Text Available Assessment plays a crucial role in the delivery of quality education. In the triad of education, assessment is considered one of the key areas aside from curriculum and instruction; thus, educators need to give premium to classroom assessment techniques. This descriptive study determined the level of awareness and extent of utilization of classroom assessment techniques by faculty of a state college in Bicol. Respondents were seventy-six (76 randomly chosen permanent and Contract of Service faculty provided the data by answering a questionnaire. Findings show that the faculties were moderately aware of formative assessment technique and summative assessment technique. Likewise, the faculty moderately utilized both the formative assessment and summative assessment techniques. Pearson product-moment correlation test results show that there is a significant relationship between the level of awareness and the extent of utilization of assessment techniques. Over-all, it is concluded that the higher the level of awareness of the faculty, the higher is their extent of utilization of classroom assessment techniques. Among the proposed measures to enhance utilization of classroom assessment technique are training in classroom assessment by external experts, intensive follow-up activity after the training, and classroom observation.

  15. A Bayesian Network approach for flash flood risk assessment

    Science.gov (United States)

    Boutkhamouine, Brahim; Roux, Hélène; Pérès, François

    2017-04-01

    Climate change is contributing to the increase of natural disasters such as extreme weather events. Sometimes, these events lead to sudden flash floods causing devastating effects on life and property. Most recently, many regions of the French Mediterranean perimeter have endured such catastrophic flood events; Var (October 2015), Ardèche (November 2014), Nîmes (October 2014), Hérault, Gard and Languedoc (September 2014), and Pyrenees mountains (Jun 2013). Altogether, it resulted in dozens of victims and property damages amounting to millions of euros. With this heavy loss in mind, development of hydrological forecasting and warning systems is becoming an essential element in regional and national strategies. Flash flood forecasting but also monitoring is a difficult task because small ungauged catchments ( 10 km2) are often the most destructive ones as for the extreme flash flood event of September 2002 in the Cévennes region (France) (Ruin et al., 2008). The problem of measurement/prediction uncertainty is particularly crucial when attempting to develop operational flash-flood forecasting methods. Taking into account the uncertainty related to the model structure itself, to the model parametrization or to the model forcing (spatio-temporal rainfall, initial conditions) is crucial in hydrological modelling. Quantifying these uncertainties is of primary importance for risk assessment and decision making. Although significant improvements have been made in computational power and distributed hydrologic modelling, the issue dealing with integration of uncertainties into flood forecasting remains up-to-date and challenging. In order to develop a framework which could handle these uncertainties and explain their propagation through the model, we propose to explore the potential of graphical models (GMs) and, more precisely, Bayesian Networks (BNs). These networks are Directed Acyclic Graphs (DAGs) in which knowledge of a certain phenomenon is represented by

  16. A fuel cycle assessment guide for utility and state energy planners

    Energy Technology Data Exchange (ETDEWEB)

    1994-07-01

    This guide, one in a series of documents designed to help assess fuel cycles, is a framework for setting parameters, collecting data, and analyzing fuel cycles for supply-side and demand-side management. It provides an automated tool for entering comparative fuel cycle data that are meaningful to state and utility integrated resource planning, collaborative, and regional energy planning activities. It outlines an extensive range of energy technology characteristics and environmental, social, and economic considerations within each stage of a fuel cycle. The guide permits users to focus on specific stages or effects that are relevant to the technology being evaluated and that meet the user`s planning requirements.

  17. Testing the Utility of a Data-Driven Approach for Assessing BMI from Face Images

    DEFF Research Database (Denmark)

    Wolffhechel, Karin Marie Brandt; Hahn, Amanda C.; Jarmer, Hanne Østergaard

    2015-01-01

    predictive power. Here we employed a data-driven approach in which statistical models were built using principal components (PCs) derived from objectively defined shape and color characteristics in face images. The predictive power of these models was then compared with models based on previously studied...... proportions. A non-linear PC model considering both 2D shape and color PCs was the best predictor of BMI. These results highlight the utility of a "bottom-up", data-driven approach for assessing BMI from face images....

  18. The Influence of Spillback Modelling when Assessing Consequences of Blockings in a Road Network

    NARCIS (Netherlands)

    Knoop, V.; Van Zuylen, H.; Hoogendoorn, S.

    2008-01-01

    Robustness of a network is a main objective for road network managers these days, and has therefore become an important study area for transportation scientists. This article discusses one specific aspect in assessing road network robustness: the consequences of the closure of a link. These

  19. Mathematical Approaches to WMD Defense and Vulnerability Assessments of Dynamic Networks

    Science.gov (United States)

    2016-07-01

    The objective function in (25) aims to minimize the number of people waiting to be evacuated in the transportation network, either waiting in one of...Assessments of Dynamic Networks Distribution Statement A. Approved for public release; distribution is unlimited. July...telecommunications, transportation , and electricity grids. More importantly, we analyze network dynamics that include cascading failures due to

  20. The role of personal social networks in risk assessment and management of forensic psychiatric patients

    NARCIS (Netherlands)

    Pomp, L.; Spreen, M.; Boegarts, S.; Völker, B.G.M.

    2010-01-01

    Social network factors are usually not accounted for in the clinical practice of risk assessment/management.This article introduces a social network analysis as an instrument to systematically chart the relationships and personal networks of forensic psychiatric patients. During the period 2005 to

  1. Cisco Networking Academy: Next-Generation Assessments and Their Implications for K-12 Education

    Science.gov (United States)

    Liu, Meredith

    2014-01-01

    To illuminate the possibilities for next-generation assessments in K-12 schools, this case study profiles the Cisco Networking Academy, which creates comprehensive online training curriculum to teach networking skills. Since 1997, the Cisco Networking Academy has served more than five million high school and college students and now delivers…

  2. Catastrophic approach to satellite imagery utilization on network-based flight simulators

    Science.gov (United States)

    Levin, Eugene; Ternovskiy, Igor V.

    2001-11-01

    Presently, there are many technological and industrial efforts for development of virtual flight simulators, usually based on networked technologies. In order to solve the problems of real time availability and realistic quality of simulators, source data images and digital terrain models (DTM) should have some generalized structure, which supposes different imagery resolution and different amount of detail on each level of 3D simulation. One of the central problems is geotruthing of satellite imagery with realistic accuracy requirements with respect to DTM. Traditionally such geotruthing can be achieved by means of geo control points measurements. This process is labor intensive and requires special photogrammetric operator skills. In order to avoid such a process an algorithm of terrain and image models singularity's recognition based on Catastrophe theory is investigated in this paper. This approach does not require training but operates with direct comparison of the analytical manifolds from DTM with those actually extracted from the image. The technology described in this paper, the Catastrophe Approach, and algorithms of satellite imagery treatment may be implemented in a multi-level image pyramid flight simulators. Theoretical approaches and practical realization indicates that the Catastrophe Approach is easy- to-use for a final customer and can be implemented on-line to networked flight simulators.

  3. Utilization of OFDM for efficient packet forwarding in wireless sensor networks

    KAUST Repository

    Bader, Ahmed

    2011-12-01

    Beaconless position-based forwarding protocols have recently evolved as a promising solution for packet forwarding in wireless sensor networks. However, as the network density grows, the overhead incurred grows significantly. As such, end-to-end energy and delay performance is adversely impacted. Motivated by the need for a forwarding mechanism that is more tolerant to growth in node density, an alternative position-based protocol is proposed in this paper. The protocol is designed such that it completely eliminates the need for potential relays to undergo a relay election process. Rather, any eligible relay may decide to forward the packet ahead, thus significantly reducing the overhead. The operation of the proposed protocol is empowered by exploiting favorable features of orthogonal frequency division multiplexing (OFDM) at the physical layer. End-to-end performance is evaluated here against existing beaconless protocols. It is demonstrated that the proposed protocol is more efficient since it is able to offer lower end-to-end delay for the same amount of energy consumption. © 2011 IEEE.

  4. Landslide susceptibility and risk assessment: specificities for road networks

    Science.gov (United States)

    Pellicani, Roberta; Argentiero, Ilenia; Parisi, Alessandro; Spilotro, Giuseppe

    2017-04-01

    A regional-scale assessment of landslide susceptibility and risk along the main road corridors crossing the provincial territory of Matera (Basilicata Region, Southern Italy) was carried out. The entire provincial road network extends for about 1,320 km through a territory, of which represents the main connection infrastructure among thirty-one municipalities due to the lack of an efficient integrated transportation system through the whole regional territory. For this reason, the strategic importance of these roads consists in their uniqueness in connecting every urban center with the socio-economic surrounding context. These roads and their vehicular traffic are continuously exposed to instability processes (about the 40% of the total length is disrupted by landslides), characterized both by high intensity and low frequency and by low intensity and high frequency. This last typology, consisting in small shallow landslides, is particularly hazardous for the roads since it is widespread along the road network, its occurrence is connected to rainfalls and determines high vulnerability conditions for the road in terms of interruption of vehicular traffic. A GIS-based heuristic-bivariate statistical predictive model was performed to assess and map the landslide susceptibility in the study area, by using a polynomial function of eight predisposing factors, weighted according to their influence on the landslide phenomena, recognized and collected in an inventory. Susceptibility associated to small shallow phenomena was assessed by using a polynomial function of specific factors, such as slope angle and aspect, lithological outcrops, rainfalls, etc. In absence of detailed input data, the spatial distribution of landslide risk along the road corridors was assessed and mapped using a qualitative hazard-consequence matrix approach, by which risk is obtained by combining hazard categories with consequence classes pairwise in a two-dimensional table or matrix. Landslide

  5. West Texas geothermal resource assessment. Part II. Preliminary utilization assessment of the Trans-Pecos geothermal resource. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Gilliland, M.W.; Fenner, L.B.

    1980-01-01

    The utilization potential of geothermal resources in Trans-Pecos, Texas was assessed. The potential for both direct use and electric power generation were examined. As with the resource assessment work, the focus was on the Hueco Tanks area in northeastern El Paso County and the Presidio Bolson area in Presidio County. Suitable users of the Hueco Tanks and Presidio Bolson resource areas were identified by matching postulated temperature characteristics of the geothermal resource to the need characteristics of existing users in each resource area. The amount of geothermal energy required and the amount of fossil fuel that geothermal energy would replace were calculated for each of the users identified as suitable. Current data indicate that temperatures in the Hueco Tanks resource area are not high enough for electric power generation, but in at least part of the Presidio Bolson resource area, they may be high enough for electric power generation.

  6. Assessment of social network change in a national longitudinal survey.

    Science.gov (United States)

    Cornwell, Benjamin; Schumm, L Philip; Laumann, Edward O; Kim, Juyeon; Kim, Young-Jin

    2014-11-01

    This article describes new longitudinal data on older adults' egocentric social networks collected by the National Social Life, Health, and Aging Project (NSHAP). We describe a novel survey technique that was used to record specific personnel changes that occurred within respondents' networks during the 5-year study period, and we make recommendations regarding usage of the resulting data. Descriptive statistics are presented for measures of network size, composition, and structure at both waves, respondent-level summary measures of change in these characteristics between waves, as well as measures that distinguish between changes associated with losses of Wave 1 network members, additions of new ones, and changes in relationships with network members who were present at both waves. The NSHAP network change module was successful in providing reliable information about specific changes that occurred within respondents' confidant networks. Most respondents lost at least one confidant from W1 and added at least one new confidant between waves as well. Network growth was more common than network shrinkage. Both lost and new ties were weaker than ties that persisted throughout the study period. These data provide new insight into the dynamic nature of networks in later life, revealing norms of network turnover, expansion, and weakening. Data limitations are discussed. © The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  7. Development, feasibility, and validity of a computer-based utility assessment tool for measuring asthma-specific health utilities in Malaysia using the standard gamble method.

    Science.gov (United States)

    Yong, Yee Vern; Shafie, Asrul Akmal

    2016-10-01

    To develop and test the feasibility and validity of a computer-based utility assessment tool that used standard gamble (SG) method for measuring asthma-specific health utilities. A computer-based SG (CBSG) tool was developed using Microsoft® PowerPoint 2007 to value asthma-specific health states in Malaysia. Eight hypothetical health states were considered, including two anchor states (healthy and dead), three chronic (C) states and three temporary (T) states (each numbered 1 through 3, with increasing severity) in addition to the subject's current health state. Twenty adult asthma patients completed the CBSG tool in addition to paper-based Asthma Control Test, three health status measures (EQ-5D, EQ-VAS, and Mini Asthma Quality of Life Questionnaire (MiniAQLQ)), and VAS utility assessment tool. Patients and interviewers rated the difficulty of the VAS and CBSG tools. Correlations between current health state values derived from the various measures were determined. The SG and the VAS received similar difficulty ratings. 17 patients completed the CBSG tool within 30 minutes. The mean utilities determined by the CBSG tool for the T1-T3 asthma health states met the expected logical order of 1>2>3, but those for the C1-C3 states did not. Correlation between current health state values derived from the CBSG tool and other measurement tools was poor. The CBSG tool developed for measuring utilities of asthma health states showed acceptable feasibility and overall validity.

  8. Network Security Risk Assessment System Based on Attack Graph and Markov Chain

    Science.gov (United States)

    Sun, Fuxiong; Pi, Juntao; Lv, Jin; Cao, Tian

    2017-10-01

    Network security risk assessment technology can be found in advance of the network problems and related vulnerabilities, it has become an important means to solve the problem of network security. Based on attack graph and Markov chain, this paper provides a Network Security Risk Assessment Model (NSRAM). Based on the network infiltration tests, NSRAM generates the attack graph by the breadth traversal algorithm. Combines with the international standard CVSS, the attack probability of atomic nodes are counted, and then the attack transition probabilities of ones are calculated by Markov chain. NSRAM selects the optimal attack path after comprehensive measurement to assessment network security risk. The simulation results show that NSRAM can reflect the actual situation of network security objectively.

  9. Adaptive Data Aggregation and Compression to Improve Energy Utilization in Solar-Powered Wireless Sensor Networks.

    Science.gov (United States)

    Yoon, Ikjune; Kim, Hyeok; Noh, Dong Kun

    2017-05-27

    A node in a solar-powered wireless sensor network (WSN) collects energy when the sun shines and stores it in a battery or capacitor for use when no solar power is available, in particular at night. In our scheme, each tiny node in a WSN periodically determines its energy budget, which takes into account its residual energy, and its likely acquisition and consumption. If it expects to acquire more energy than it can store, the data which has it has sensed is aggregated with data from other nodes, compressed, and transmitted. Otherwise, the node continues to sense data, but turns off its wireless communication to reduce energy consumption. We compared several schemes by simulation. Our scheme reduced the number of nodes forced to black out due to lack of energy so that more data arrives at the sink node.

  10. The impact of living with severe lower extremity lymphedema: a utility outcomes score assessment.

    Science.gov (United States)

    Sinno, Hani; Izadpanah, Ali; Tahiri, Youssef; Christodoulou, George; Thibaudeau, Stephanie; Williams, H Bruce; Slavin, Sumner A; Lin, Samuel J

    2014-08-01

    Debilitating lower extremity lymphedema can be either congenital or acquired. Utility scores are an objective measure used in medicine to quantify degrees of impact on an individual's life. Using standardized utility outcome measures, we aimed to quantify the health state of living with severe unilateral lower extremity lymphedema. A utility outcomes assessment using visual analog scale, time trade-off, and standard gamble was used for lower extremity lymphedema, monocular blindness, and binocular blindness from a sample of the general population and medical students. Average utility scores were compared using a paired t test. Linear regression was performed using age, race, and education as independent predictors. A total of 144 prospective participants were included. All measures [visual analog scale, time trade-off, and standard gamble; expressed as mean (SD)] for unilateral lower extremity lymphedema (0.50 ± 0.18, 0.76 ± 0.22, and 0.76 ± 0.21, respectively) were significantly different (P < 0.001) from the corresponding scores for monocular blindness (0.64 ± 0.18, 0.84 ± 0.16, and 0.83 ± 0.17, respectively) and binocular blindness (0.35 ± 0.17, 0.61 ± 0.28, and 0.62 ± 0.26, respectively). We found that a sample of the general population and medical students, if faced with severe lymphedema, is willing to theoretically trade 8.64 life-years and undergo a procedure with a 24% risk of mortality to restore limb appearance and function to normal. These findings provide a frame of reference regarding the meaning of a diagnosis of severe lower extremity lymphedema to a patient and will allow objective comparison with other health states.

  11. The role of personal social networks in risk assessment and management of forensic psychiatric patients

    OpenAIRE

    Pomp, L.; Spreen, M.; Bogaerts, S.; Völkel, B.

    2010-01-01

    Social network factors are usually not accounted for in the clinical practice of risk assessment/management.This article introduces a social network analysis as an instrument to systematically chart the relationships and personal networks of forensic psychiatric patients. During the period 2005 to 2007, the so-called Forensic Social Network Analysis (FSNA) was developed in a Dutch forensic psychiatric hospital. A case study describes the FSNA concepts and shows the benefits of using FSNA as a...

  12. The clinical utility of health-related quality of life assessment in pediatric cardiology outpatient practice.

    Science.gov (United States)

    Uzark, Karen; King, Eileen; Spicer, Robert; Beekman, Robert; Kimball, Thomas; Varni, James W

    2013-01-01

    Children with congenital heart disease may experience significant psychosocial morbidity related to impaired quality of life (QOL). The aim of this study was to evaluate the clinical utility of health-related QOL assessment in a pediatric cardiology outpatient clinic. The Pediatric Quality of Life Inventory (PedsQL) 4.0 Generic Core Scales were completed by a convenience sample of 176 patients, aged 8-18 years, being seen in a pediatric cardiology clinic. Three cardiologists enrolled in this study reviewed the completed PedsQL during the clinic visit and recorded their responses to items reported to be a problem "Often" or "Almost Always." This utilization of the instrument was compared to standardized scoring and the practicality and perceived usefulness of the practice was evaluated by physician interview. PedsQL responses showed 38% of patients reporting significant (Often or Almost Always) problems on at least one domain (19% Physical Functioning, 18.2% Emotional Functioning, 11.4% Social Functioning, and 22.3% School Functioning problems). Using standardized scoring, the prevalence of scores below the cutoff score for clinically significant impaired QOL in each domain ranged from 10% to 20%, with agreement between scoring methods ranging from 89% to 93%, sensitivity 68% to 86%, and specificity 89% to 97%. Cardiologists reported interventions in 30.1% of patients. They found that the PedsQL was easy to use, did not interfere with clinic operations, required minimal time (1-5 minutes), and provided information that had an important impact on their practice in some patients. This study demonstrates the clinical utility of health-related QOL assessment using the PedsQL in a pediatric cardiology outpatient setting. Identification of significant impairments in QOL can impact clinical decision making and may change psychosocial outcomes in children with congenital heart disease. © 2012 Wiley Periodicals, Inc.

  13. Remarks on the assessment, representation, aggregation and utilization of expert opinion

    Energy Technology Data Exchange (ETDEWEB)

    Fine, T.L.

    1980-04-01

    This report considers the relevance of recent ideas in the foundations of probability to the rational use of expert opinion in the design of a nuclear waste repository, and the assessment of its performance. The main probability concepts introduce are those of modal (probably A), comparative (A is at least as probable as B) and interval-valued (the lower probability of A is P(A) and the upper probability of A is P(anti A)) probabilities. We then outline an approach first using comparative probability to model the resuls of binary elicitation of an expert's opinions concerning repository uncertainties and then employing interval-valued probability to represent comparative probability in a computationally convenient form. We further consider the issue of aggregating or amalgamating the responses of several experts, and we emphasize the need to preserve some measure of the disagreements among the experts. The resulting aggregated interval-valued representation of the responses concerning the uncertainties surrounding the performance of a nuclear waste repository design can then be used to numerically assess this performance in a manner parallel to that of utility theory. Utility theory is the basis for statistical decision theory. Our recommendations can only be tentative, and research is recommended to gain some working experience with the results of the proposed decision-making process in the repostory design context.

  14. Essays on capacity utilization, vehicle choice, and networks in the trucking industry

    DEFF Research Database (Denmark)

    Abate, Megersa Abera

    for 13 European countries reveals that on about 30 per cent of all trips made the trucks are empty, while the percentage of a truck’s carrying capacity filled with a cargo (that is, the load factor) remained stable at an average of 50 percent over the period 1990-2008 (European Environmental Agency, 2010......). The overall objective of this PhD thesis is to provide economic analyses of some of the drivers and limits of road freight transport, and their implication on the trucking industry’s performance. It is composed of four self-contained chapters which can be read independently. Each chapter addresses...... be achieved by combining the two strands of studies. Chapter 2 looks at two aspects of capacity utilization, namely the extent of empty running and the load factor. It shows that they are explained as a function of truck, haul and carrier characteristics. Chapter 3 analyzes how firms choose the optimal truck...

  15. Interactive neural-network-assisted screening. An economic assessment.

    Science.gov (United States)

    Radensky, P W; Mango, L J

    1998-01-01

    To apply clinical effectiveness estimates of interactive, neural network-assisted (INNA) screening to economic cervical cancer screening models to assess the economic impact of using this technology. Estimates of the sensitivity of INNA screening were drawn from a recently completed comprehensive synthesis of the INNA literature and applied to the Computer Model for Designing CANcer ConTROL Programs-based Cervical Cancer Screen economic model. The economic analysis was conducted from a modified payer perspective using costs borne by payers combined with patient deductibles and copayments. Costs of treating cervical cancer were updated to 1997 values using the medical care component of the Consumer Price Index. The model was run for a cohort of women starting at age 20 and screened on a triennial schedule through age 75. In the primary analysis (sensitivity of unassisted manual examination assumed to be 85%), the ratios found in this investigation varied from approximately $35,000 to $80,000 per life year saved, with the preponderance of ratios sensitive to estimates of sensitivity of unassisted manual screening but not to estimates of treatment costs. This investigation applied accuracy data on INNA rescreening to a model of the cost-effectiveness of cervical cancer screening. The results support the use of INNA rescreening as an appropriate expenditure of resources to identify missed cases of cervical epithelial abnormalities and potential cervical cancer.

  16. A Steam Utility Network Model for the Evaluation of Heat Integration Retrofits – A Case Study of an Oil Refinery

    Directory of Open Access Journals (Sweden)

    Sofie Marton

    2017-12-01

    Full Text Available This paper presents a real industrial example in which the steam utility network of a refinery is modelled in order to evaluate potential Heat Integration retrofits proposed for the site. A refinery, typically, has flexibility to optimize the operating strategy for the steam system depending on the operation of the main processes. This paper presents a few examples of Heat Integration retrofit measures from a case study of a large oil refinery. In order to evaluate expected changes in fuel and electricity imports to the refinery after implementation of the proposed retrofits, a steam system model has been developed. The steam system model has been tested and validated with steady state data from three different operating scenarios and can be used to evaluate how changes to steam balances at different pressure levels would affect overall steam balances, generation of shaft power in turbines, and the consumption of fuel gas.

  17. Efficient Optimization Methods for Communication Network Planning and Assessment

    OpenAIRE

    Kiese, Moritz

    2010-01-01

    In this work, we develop efficient mathematical planning methods to design communication networks. First, we examine future technologies for optical backbone networks. As new, more intelligent nodes cause higher dynamics in the transport networks, fast planning methods are required. To this end, we develop a heuristic planning algorithm. The evaluation of the cost-efficiency of new, adapative transmission techniques comprises the second topic of this section. In the second part of this work, ...

  18. Risk Assessment of the Naval Postgraduate School Gigabit Network

    National Research Council Canada - National Science Library

    Rowlands, Dennis

    2004-01-01

    This research thoroughly examines the current Naval Postgraduate School Gigabit Network security posture, identifies any possible threats or vulnerabilities, and recommends any appropriate safeguards...

  19. Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks.

    Directory of Open Access Journals (Sweden)

    M N Hindia

    Full Text Available As the enterprise of the "Internet of Things" is rapidly gaining widespread acceptance, sensors are being deployed in an unrestrained manner around the world to make efficient use of this new technological evolution. A recent survey has shown that sensor deployments over the past decade have increased significantly and has predicted an upsurge in the future growth rate. In health-care services, for instance, sensors are used as a key technology to enable Internet of Things oriented health-care monitoring systems. In this paper, we have proposed a two-stage fundamental approach to facilitate the implementation of such a system. In the first stage, sensors promptly gather together the particle measurements of an android application. Then, in the second stage, the collected data are sent over a Femto-LTE network following a new scheduling technique. The proposed scheduling strategy is used to send the data according to the application's priority. The efficiency of the proposed technique is demonstrated by comparing it with that of well-known algorithms, namely, proportional fairness and exponential proportional fairness.

  20. Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks.

    Science.gov (United States)

    Hindia, M N; Rahman, T A; Ojukwu, H; Hanafi, E B; Fattouh, A

    2016-01-01

    As the enterprise of the "Internet of Things" is rapidly gaining widespread acceptance, sensors are being deployed in an unrestrained manner around the world to make efficient use of this new technological evolution. A recent survey has shown that sensor deployments over the past decade have increased significantly and has predicted an upsurge in the future growth rate. In health-care services, for instance, sensors are used as a key technology to enable Internet of Things oriented health-care monitoring systems. In this paper, we have proposed a two-stage fundamental approach to facilitate the implementation of such a system. In the first stage, sensors promptly gather together the particle measurements of an android application. Then, in the second stage, the collected data are sent over a Femto-LTE network following a new scheduling technique. The proposed scheduling strategy is used to send the data according to the application's priority. The efficiency of the proposed technique is demonstrated by comparing it with that of well-known algorithms, namely, proportional fairness and exponential proportional fairness.

  1. Problem of Channel Utilization and Merging Flows in Buffered Optical Burst Switching Networks

    Directory of Open Access Journals (Sweden)

    Milos Kozak

    2013-01-01

    Full Text Available In the paper authors verify two problems of methods of operational research in optical burst switching. The first problem is at edge node, related to the medium access delay. The second problem is at an intermediate node related to buffering delay. A correction coefficient K of transmission speed is obtained from the first analysis. It is used in to provide a full-featured link of nominal data rate. Simulations of the second problem reveal interesting results. It is not viable to prepare routing and wavelength assignment based on end-to-end delay, i.e. link's length or number of hops, as commonly used in other frameworks (OCS, Ethernet, IP, etc. nowadays. Other parameters such as buffering probability must be taken into consideration as well. Based on the buffering probability an estimation of the number of optical/electrical converters can be made. This paper concentrates important traffic constraints of buffered optical burst switching. It allows authors to prepare optimization algorithms for regenerators placement in CAROBS networks using methods of operational research.

  2. Development and first assessment of a questionnaire for health care utilization and costs for cardiac patients

    Directory of Open Access Journals (Sweden)

    Hahmann Harry

    2008-09-01

    Full Text Available Abstract Background The valid and reliable measurement of health service utilization, productivity losses and consequently total disease-related costs is a prerequisite for health services research and for health economic analysis. Although administrative data sources are usually considered to be the most accurate, their use is limited as some components of utilization are not systematically captured and, especially in decentralized health care systems, no single source exists for comprehensive utilization and cost data. The aim of this study was to develop and test a questionnaire for the measurement of disease-related costs for patients after an acute cardiac event (ACE. Methods To design the questionnaire, the literature was searched for contributions to the assessment of utilization of health care resources by patient-administered questionnaires. Based on these findings, we developed a retrospective questionnaire appropriate for the measurement of disease-related costs over a period of 3 months in ACE patients. Items were generated by reviewing existing guidelines and by interviewing medical specialists and patients. In this study, the questionnaire was tested on 106 patients, aging 35–65 who were admitted for rehabilitation after ACE. It was compared with prospectively measured data; selected items were compared with administrative data from sickness funds. Results The questionnaire was accepted well (response rate = 88%, and respondents completed the questionnaire in an average time of 27 minutes. Concordance between retrospective and prospective data showed an intraclass correlation (ICC ranging between 0.57 (cost of medical intake and 0.9 (hospital days with the other main items (physician visits, days off work, medication clustering around 0.7. Comparison between self-reported and administrative data for days off work and hospitalized days were possible for n = 48. Respective ICCs ranged between 0.92 and 0.94, although differences in

  3. Assessment of groundwater quality: a fusion of geochemical and geophysical information via Bayesian neural networks.

    Science.gov (United States)

    Maiti, Saumen; Erram, V C; Gupta, Gautam; Tiwari, Ram Krishna; Kulkarni, U D; Sangpal, R R

    2013-04-01

    Deplorable quality of groundwater arising from saltwater intrusion, natural leaching and anthropogenic activities is one of the major concerns for the society. Assessment of groundwater quality is, therefore, a primary objective of scientific research. Here, we propose an artificial neural network-based method set in a Bayesian neural network (BNN) framework and employ it to assess groundwater quality. The approach is based on analyzing 36 water samples and inverting up to 85 Schlumberger vertical electrical sounding data. We constructed a priori model by suitably parameterizing geochemical and geophysical data collected from the western part of India. The posterior model (post-inversion) was estimated using the BNN learning procedure and global hybrid Monte Carlo/Markov Chain Monte Carlo optimization scheme. By suitable parameterization of geochemical and geophysical parameters, we simulated 1,500 training samples, out of which 50 % samples were used for training and remaining 50 % were used for validation and testing. We show that the trained model is able to classify validation and test samples with 85 % and 80 % accuracy respectively. Based on cross-correlation analysis and Gibb's diagram of geochemical attributes, the groundwater qualities of the study area were classified into following three categories: "Very good", "Good", and "Unsuitable". The BNN model-based results suggest that groundwater quality falls mostly in the range of "Good" to "Very good" except for some places near the Arabian Sea. The new modeling results powered by uncertainty and statistical analyses would provide useful constrain, which could be utilized in monitoring and assessment of the groundwater quality.

  4. Transparent and accurate reporting increases reliability, utility, and impact of your research: reporting guidelines and the EQUATOR Network

    Directory of Open Access Journals (Sweden)

    Schulz Kenneth F

    2010-04-01

    Full Text Available Abstract Although current electronic methods of scientific publishing offer increased opportunities for publishing all research studies and describing them in sufficient detail, health research literature still suffers from many shortcomings. These shortcomings seriously undermine the value and utility of the literature and waste scarce resources invested in the research. In recent years there have been several positive steps aimed at improving this situation, such as a strengthening of journals' policies on research publication and the wide requirement to register clinical trials. The EQUATOR (Enhancing the QUAlity and Transparency Of health Research Network is an international initiative set up to advance high quality reporting of health research studies; it promotes good reporting practices including the wider implementation of reporting guidelines. EQUATOR provides free online resources http://www.equator-network.org supported by education and training activities and assists in the development of robust reporting guidelines. This paper outlines EQUATOR's goals and activities and offers suggestions for organizations and individuals involved in health research on how to strengthen research reporting.

  5. Social Media as Seismic Networks for the Earthquake Damage Assessment

    Science.gov (United States)

    Meletti, C.; Cresci, S.; La Polla, M. N.; Marchetti, A.; Tesconi, M.

    2014-12-01

    The growing popularity of online platforms, based on user-generated content, is gradually creating a digital world that mirrors the physical world. In the paradigm of crowdsensing, the crowd becomes a distributed network of sensors that allows us to understand real life events at a quasi-real-time rate. The SoS-Social Sensing project [http://socialsensing.it/] exploits the opportunistic crowdsensing, involving users in the sensing process in a minimal way, for social media emergency management purposes in order to obtain a very fast, but still reliable, detection of emergency dimension to face. First of all we designed and implemented a decision support system for the detection and the damage assessment of earthquakes. Our system exploits the messages shared in real-time on Twitter. In the detection phase, data mining and natural language processing techniques are firstly adopted to select meaningful and comprehensive sets of tweets. Then we applied a burst detection algorithm in order to promptly identify outbreaking seismic events. Using georeferenced tweets and reported locality names, a rough epicentral determination is also possible. The results, compared to Italian INGV official reports, show that the system is able to detect, within seconds, events of a magnitude in the region of 3.5 with a precision of 75% and a recall of 81,82%. We then focused our attention on damage assessment phase. We investigated the possibility to exploit social media data to estimate earthquake intensity. We designed a set of predictive linear models and evaluated their ability to map the intensity of worldwide earthquakes. The models build on a dataset of almost 5 million tweets exploited to compute our earthquake features, and more than 7,000 globally distributed earthquakes data, acquired in a semi-automatic way from USGS, serving as ground truth. We extracted 45 distinct features falling into four categories: profile, tweet, time and linguistic. We run diagnostic tests and

  6. The Utility of the Personality Assessment Inventory in the Assessment of Posttraumatic Stress Disorder in OEF/OIF/OND Veterans.

    Science.gov (United States)

    Bellet, Benjamin W; McDevitt-Murphy, Meghan E; Thomas, Danielle H; Luciano, Matthew T

    2017-01-01

    We examined the use of the Personality Assessment Inventory (PAI) in a small sample of 47 U.S. military veterans of the conflicts in Iraq and Afghanistan. Approximately half of the sample met criteria for posttraumatic stress disorder (PTSD) based on the Clinician-Administered PTSD Scale. PAI profiles were compared between the PTSD and non-PTSD groups. The PTSD group had clinically significant scores (≥ 70 T) on the PAI for 5 clinical scales (anxiety, anxiety-related disorders, depression, paranoia, and schizophrenia) and 10 clinical subscales consistent with the typical symptom picture for PTSD. Effect size correlations ( r) between scales and diagnosis group membership were large ( r ≥ .5) for several scales that reflect PTSD symptoms and for the PTSD LOGIT function. In a receiver operating characteristics curve analysis, the PTSD LOGIT function and the Traumatic Stress Subscale both demonstrated good diagnostic utility (areas under the curve > .80).

  7. Pattern Recognition for Reliability Assessment of Water Distribution Networks

    NARCIS (Netherlands)

    Trifunović, N.

    2012-01-01

    The study presented in this manuscript investigates the patterns that describe reliability of water distribution networks focusing to the node connectivity, energy balance, and economics of construction, operation and maintenance. A number of measures to evaluate the network resilience has been

  8. An Assessment of the Emerging Networks of Support for Street ...

    African Journals Online (AJOL)

    Nigeria, being asignatory to the Convention on the Rights of the Child (UNCRC, 1989) promulgated the Child Rights Act 2003, which aimed at ameliorating the condition of street children in Nigeria. In line with this, there are emerging networks of support for street children. The extent to which these support networks are ...

  9. GIS UTILITY FOR HYDROLOGICAL IMPACT EVALUATION CAUSED BY DAMAGES OF WATER SUPPLY NETWORK IN RURAL AREAS. APPLICATIONS IN BAIA MARE DEPRESSION

    Directory of Open Access Journals (Sweden)

    RADU ALEXANDRU MARIAN

    2012-11-01

    Full Text Available GIS utility for hydrological impact evaluation caused by damages of water supply network in rural areas. Applications in Baia Mare Depression. Occurrence of a failure within the water supply network is an element of risk with important hydrological implications. Although at first glance you might think that a pipe diameter of only 20 cm can generate large effects, however, in case of significant damage or even burst pipe, a good part of high water flow in the pipe (approx. 25 m3/h on average in the Baia Mare associated with a long duration of failure (several hours may be in the drain area, impact on the local community. Regarding rural settlements, surface drainage allow a quantity of water retention tank underground infiltration but in many cases lack of a sewage system effectively contribute to increased negative consequences related to such damage (flooding farms, roads, crops compromise of flooding or drought in the event of damage to the hot water supply pipe and so on. This paper focuses on the role of Geographic Information Systems (GIS to assess the impact of runoff induced by damages in rural areas. The study therefore spatial aspect, through GIS, on the one hand runoff along the flow path with the start point of the network fault location and view previous hydrological conditions of the terrain, and on the other hand the impact of runoff the rural community. Study area Dumbrăviţa settlement located in Baia Mare Depression. This village is part of water supply system to the south and southeast of Baia Mare.

  10. Social Network Assessments and Interventions for Health Behavior Change: A Critical Review

    Science.gov (United States)

    Latkin, Carl A.; Knowlton, Amy R.

    2016-01-01

    Social networks provide a powerful approach for health behavior change. This article documents how social network interventions have been successfully utilized for a range of health behaviors including HIV risk practices, smoking, exercise, dieting, family planning, bullying, and mental health. We review the literature that suggests relationship between health behaviors and social network attributes demonstrate a high degree of specificity. The article then examines hypothesized social influence mechanisms including social norms, modeling, and social rewards and the factors of social identity and social rewards that can be employed to sustain social network interventions. Areas of future research avenues are highlighted, including the need to examine and analytically adjust for contamination and social diffusion, social influence versus differential affiliation, and network change. Use and integration of mhealth and face-to-face networks for promoting health behavior change are also critical research areas. PMID:26332926

  11. Value within otolaryngology: Assessment of the cost-utility analysis literature

    Directory of Open Access Journals (Sweden)

    Krupa R. Patel

    2016-03-01

    Full Text Available Objective: To assess the characteristics and quality of cost utility analyses (CUA related to otolaryngology within the CEA registry and to summarize their collective results. Methods: All cost-utility analyses published between 1976 and 2011 contained in the Cost-Effectiveness Analysis Registry (CEA Registry were evaluated. Topics that fall within the care of an otolaryngologist were included in the review regardless of the presence of an otolaryngologist author. Potential associations between various study characteristics and CEA registry quality scores were evaluated using the Pearson product moment correlation coefficient. Results: Sixty-one of 2913 (2.1% total CUA publications screened were related to otolaryngology. Eighteen of 61 (29.5% publications included an otolaryngologist as an author. Fourteen studies agreed on the cost effectiveness of at least unilateral cochlear implantation and six of seven (85.7% studies demonstrated the cost effectiveness of continuous positive airway pressure (CPAP for obstructive sleep apnea (OSA. Forty-six percent (28 of 61 of all manuscripts were published between 2008 and 2011. A more recent publication year was associated with a higher CEA registry quality score while the presence of an otolaryngologist author and journal impact factor had no significant correlation with the quality of the CUA. Conclusion: Based on current evidence in the CEA registry, unilateral cochlear implantation for hearing loss and CPAP for OSA are both cost-effective therapeutic interventions. Although CUAs in otolaryngology have increased in quantity and improved in quality in more recent years, there is a relative lack of CUAs in otolaryngology in comparison to other subspecialties. Keyword: Cost-utility analysis

  12. Utilization of an interorganizational network analysis to evaluate the development of community capacity among a community-academic partnership.

    Science.gov (United States)

    Clark, Heather R; Ramirez, Albert; Drake, Kelly N; Beaudoin, Christopher E; Garney, Whitney R; Wendel, Monica L; Outley, Corliss; Burdine, James N; Player, Harold D

    2014-01-01

    Following a community health assessment the Brazos Valley Health Partnership (BVHP) organized to address fragmentation of services and local health needs. This regional partnership employs the fundamental principles of community-based participatory research, fostering an equitable partnership with the aim of building community capacity to address local health issues. This article describes changes in relationships as a result of capacity building efforts in a community-academic partnership. Growth in network structure among organizations is hypothesized to be indicative of less fragmentation of services for residents and increased capacity of the BVHP to collectively address local health issues. Each of the participant organizations responded to a series of questions regarding its relationships with other organizations. Each organization was asked about information sharing, joint planning, resource sharing, and formal agreements with other organizations. The network survey has been administered 3 times between 2004 and 2009. Network density increased for sharing information and jointly planning events. Growth in the complexity of relationships was reported for sharing tangible resources and formal agreements. The average number of ties between organizations as well as the strength of relationships increased. This study provides evidence that the community capacity building efforts within these communities have contributed to beneficial changes in interorganizational relationships. Results from this analysis are useful for understanding how a community partnership's efforts to address access to care can strengthen a community's capacity for future action. Increased collaboration also leads to new assets, resources, and the transfer of knowledge and skills.

  13. Assessing aggressive behavior in forensic psychiatric patients: validity and clinical utility of combining two instruments.

    Science.gov (United States)

    Kobes, Marjolein H B M; Nijman, Henk H L I; Bulten, Erik B H

    2012-12-01

    Accurate observation of aggressive behavior among forensic psychiatric patients requires valid instruments. This study examines the validity and clinical utility of combining the social dysfunction and aggression scale (SDAS) and staff observation aggression scale revised (SOAS-R). Nurses weekly obtained SDAS scores of 127 patients, resulting in 6.124 assessments. Aggressive incidents were documented by the SOAS-R. Internal consistency, subscale structure, interobserver reliability of the SDAS, and convergent validity with SOAS-R were analyzed. A three-factor solution was found. Interobserver reliability was moderate, and good convergent validity was found. The SDAS, in conjunction with the SOAS-R, monitors changes in aggressiveness and may contribute to the prevention of aggressive behavior. Copyright © 2012 Elsevier Inc. All rights reserved.

  14. A closed-loop life cycle assessment of recycled aggregate concrete utilization in China.

    Science.gov (United States)

    Ding, Tao; Xiao, Jianzhuang; Tam, Vivian W Y

    2016-10-01

    This paper studies the potential environmental impact of recycled coarse aggregate (RCA) for concrete production in China. According to the cradle-to-cradle theory, a closed-loop life cycle assessment (LCA) on recycled aggregate concrete (RAC) utilization in China with entire local life cycle inventory (LCI) is performed, regarding the environmental influence of cement content, aggregate production, transportation and waste landfilling. Special attention is paid on the primary resource and energy conservation, as well as climate protection induced by RAC applications. Environmental impact between natural aggregate concrete (NAC) and RAC are also compared. It is shown that cement proportion and transportation are the top two contributors for carbon dioxide (CO2) emissions and energy consumption for both NAC and RAC. Sensitivity analysis also proves that long delivery distances for natural coarse aggregate (NCA) leave a possible opportunity for lowering environmental impact of RAC in China. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. Promoting remyelination: utilizing a viral model of demyelination to assess cell-based therapies.

    Science.gov (United States)

    Marro, Brett S; Blanc, Caroline A; Loring, Jeanne F; Cahalan, Michael D; Lane, Thomas E

    2014-10-01

    Multiple sclerosis (MS) is a chronic inflammatory disease of the CNS. While a broad range of therapeutics effectively reduce the incidence of focal white matter inflammation and plaque formation for patients with relapse-remitting forms of MS, a challenge within the field is to develop therapies that allow for axonal protection and remyelination. In the last decade, growing interest has focused on utilizing neural precursor cells (NPCs) to promote remyelination. To understand how NPCs function in chronic demyelinating environments, several excellent pre-clinical mouse models have been developed. One well accepted model is infection of susceptible mice with neurotropic variants of mouse hepatitis virus (MHV) that undergo chronic demyelination exhibiting clinical and histopathologic similarities to MS patients. Combined with the possibility that an environmental agent such as a virus could trigger MS, the MHV model of demyelination presents a relevant mouse model to assess the therapeutic potential of NPCs transplanted into an environment in which inflammatory-mediated demyelination is established.

  16. Social Network Analysis and Qualitative Interviews for Assessing Geographic Characteristics of Tourism Business Networks

    National Research Council Canada - National Science Library

    Kelman, Ilan; Luthe, Tobias; Wyss, Romano; Tørnblad, Silje H; Evers, Yvette; Curran, Marina Martin; Williams, Richard J; Berlow, Eric L

    2016-01-01

    This study integrates quantitative social network analysis (SNA) and qualitative interviews for understanding tourism business links in isolated communities through analysing spatial characteristics...

  17. Utilizing web-based geodata for rapid disaster identification and assessment

    Science.gov (United States)

    Leith, Kerry; Schmitt, Michael; Sickert, Salomon; Metzger, Alex; Krautblatter, Michael

    2014-05-01

    Developing methods to rapidly locate and quantify the impact of natural disasters can aid both the coordination of emergency response, and the long-term understanding of natural hazards in a range of environmental settings. Gaining such quantitative data in the aftermath of landslide events is particularly challenging, as the localized nature, steep terrain, and frequent damage to infrastructure caused by common triggering events (e.g. earthquakes, storms) complicates traditional methods of survey and data communication. As a result, the first, and often best overview of disastrous events is typically provided by eyewitness or first-responder photographs distributed through official, or social media networks. Although these images allow for an initial qualitative assessment of the event, their ad-hoc nature does not currently allow for either precise location, or quantitative evaluation of key event parameters (e.g. structural setting, geology, geometry, size, transport path, or total fall height). Here we present two tools designed to facilitate initial location and assessment of key event parameters using a combination of freely available geodata and information derived from eyewitness observations. These tools are currently under development, and rely on the adaptation of existing photogrammetric techniques in order to allow users to rapidly map and quantify event parameters from a combination of ad-hoc media photographs, and existing orthophoto and digital terrain model data (e.g. LiDAR, SRTM, ASTER). By incorporating results in freely-available GIS platforms such as Google Earth, local authorities will be able to to better assess and disseminate information regarding the impact of natural disasters in the critical hours following an event. We expect that quantitative data derived from events will provide important information to allow geohazard researchers to better assess landslide generation, and authorities to better plan responses to future triggering

  18. Assessment of acid sulfate soil mapping utilizing chemical indicators in recipient waters

    Directory of Open Access Journals (Sweden)

    Beucher, A.

    2015-06-01

    Full Text Available In Finland, poor water quality and associated ecological damage in the coastal streams related to land use on acid sulfate (a.s. soils has been drawing a considerable amount of attention since the 1950’s. These soils originate from sulfide-bearing marine sediments mostly occurring in the coastal areas located below the highest shoreline of the former Litorina Sea. Of the many previous studies carried out on soil or water data, quite few gathered both and their geographic extent was relatively limited. This study aimed at assessing a.s. soil probability maps using two chemical indicators measured in the recipient waters (i.e. sulfate content and sulfate/chloride ratio for 24 catchments along the Finnish coast. All the available data was compiled for these catchments, which were surveyed using different methods (i.e. conventional mapping and two spatial modeling techniques: fuzzy logic and artificial neural networks. High sulfate contents and sulfate/ chloride ratios measured in these rivers were controlled by a.s. soils in the corresponding catchments. The extent of the most probable areas for a.s. soils in the surveyed catchments correlated with the two chemical indicators measured in the recipient waters, suggesting that the probability maps created with different methods are reliable and comparable. The use of a.s. soil related chemical indicators in water, thus, constitutes a complementary, independent and straightforward tool to assess a.s. soil probability maps.

  19. Unattended network operations technology assessment study. Technical support for defining advanced satellite systems concepts

    Science.gov (United States)

    Price, Kent M.; Holdridge, Mark; Odubiyi, Jide; Jaworski, Allan; Morgan, Herbert K.

    1991-01-01

    The results are summarized of an unattended network operations technology assessment study for the Space Exploration Initiative (SEI). The scope of the work included: (1) identified possible enhancements due to the proposed Mars communications network; (2) identified network operations on Mars; (3) performed a technology assessment of possible supporting technologies based on current and future approaches to network operations; and (4) developed a plan for the testing and development of these technologies. The most important results obtained are as follows: (1) addition of a third Mars Relay Satellite (MRS) and MRS cross link capabilities will enhance the network's fault tolerance capabilities through improved connectivity; (2) network functions can be divided into the six basic ISO network functional groups; (3) distributed artificial intelligence technologies will augment more traditional network management technologies to form the technological infrastructure of a virtually unattended network; and (4) a great effort is required to bring the current network technology levels for manned space communications up to the level needed for an automated fault tolerance Mars communications network.

  20. Assessing Partnership Alternatives in an IT Network Employing Analytical Methods

    Directory of Open Access Journals (Sweden)

    Vahid Reza Salamat

    2016-01-01

    Full Text Available One of the main critical success factors for the companies is their ability to build and maintain an effective collaborative network. This is more critical in the IT industry where the development of sustainable competitive advantage requires an integration of various resources, platforms, and capabilities provided by various actors. Employing such a collaborative network will dramatically change the operations management and promote flexibility and agility. Despite its importance, there is a lack of an analytical tool on collaborative network building process. In this paper, we propose an optimization model employing AHP and multiobjective programming for collaborative network building process based on two interorganizational relationships’ theories, namely, (i transaction cost theory and (ii resource-based view, which are representative of short-term and long-term considerations. The five different methods were employed to solve the formulation and their performances were compared. The model is implemented in an IT company who was in process of developing a large-scale enterprise resource planning (ERP system. The results show that the collaborative network formed through this selection process was more efficient in terms of cost, time, and development speed. The framework offers novel theoretical underpinning and analytical solutions and can be used as an effective tool in selecting network alternatives.

  1. Assessing Routing Strategies for Cognitive Radio Sensor Networks

    Science.gov (United States)

    Zubair, Suleiman; Fisal, Norsheila; Baguda, Yakubu S.; Saleem, Kashif

    2013-01-01

    Interest in the cognitive radio sensor network (CRSN) paradigm has gradually grown among researchers. This concept seeks to fuse the benefits of dynamic spectrum access into the sensor network, making it a potential player in the next generation (NextGen) network, which is characterized by ubiquity. Notwithstanding its massive potential, little research activity has been dedicated to the network layer. By contrast, we find recent research trends focusing on the physical layer, the link layer and the transport layers. The fact that the cross-layer approach is imperative, due to the resource-constrained nature of CRSNs, can make the design of unique solutions non-trivial in this respect. This paper seeks to explore possible design opportunities with wireless sensor networks (WSNs), cognitive radio ad-hoc networks (CRAHNs) and cross-layer considerations for implementing viable CRSN routing solutions. Additionally, a detailed performance evaluation of WSN routing strategies in a cognitive radio environment is performed to expose research gaps. With this work, we intend to lay a foundation for developing CRSN routing solutions and to establish a basis for future work in this area. PMID:24077319

  2. Assessing routing strategies for cognitive radio sensor networks.

    Science.gov (United States)

    Zubair, Suleiman; Fisal, Norsheila; Baguda, Yakubu S; Saleem, Kashif

    2013-09-26

    Interest in the cognitive radio sensor network (CRSN) paradigm has gradually grown among researchers. This concept seeks to fuse the benefits of dynamic spectrum access into the sensor network, making it a potential player in the next generation (NextGen) network, which is characterized by ubiquity. Notwithstanding its massive potential, little research activity has been dedicated to the network layer. By contrast, we find recent research trends focusing on the physical layer, the link layer and the transport layers. The fact that the cross-layer approach is imperative, due to the resource-constrained nature of CRSNs, can make the design of unique solutions non-trivial in this respect. This paper seeks to explore possible design opportunities with wireless sensor networks (WSNs), cognitive radio ad-hoc networks (CRAHNs) and cross-layer considerations for implementing viable CRSN routing solutions. Additionally, a detailed performance evaluation of WSN routing strategies in a cognitive radio environment is performed to expose research gaps. With this work, we intend to lay a foundation for developing CRSN routing solutions and to establish a basis for future work in this area.

  3. Life cycle assessment of CO2 capture and utilization: a tutorial review.

    Science.gov (United States)

    von der Assen, Niklas; Voll, Philip; Peters, Martina; Bardow, André

    2014-12-07

    Capturing CO2 and using it as an alternative carbon feedstock for chemicals, fuels and materials has the potential to reduce both CO2 emissions and fossil resource depletion. To assess the actual environmental benefits of CO2 capture and utilization (CCU), life cycle assessment (LCA) is considered as suitable metric. To enhance the use of LCA of CCU, this tutorial review gives a jargon-free introduction of LCA of CCU directed at LCA novices. Nine particularly important aspects for conducting an LCA of CCU are identified and illustrated with CCU examples. These aspects, phrased as action items, can serve LCA novices as a checklist through all steps in LCA of CCU: from defining the LCA purpose and the system boundaries, over data collection and environmental impact computation, to interpretation and sensitivity analysis of the results. Finally, in the context of CCU, an outlook is given on recent developments in LCA that aim to cover all pillars of sustainability (people, planet, and profit).

  4. Assessing young children's intention-reading in authentic communicative contexts: preliminary evidence and clinical utility.

    Science.gov (United States)

    Greenslade, Kathryn J; Coggins, Truman E

    2014-01-01

    Identifying what a communication partner is looking at (referential intention) and why (social intention) is essential to successful social communication, and may be challenging for children with social communication deficits. This study explores a clinical task that assesses these intention-reading abilities within an authentic context. To gather evidence of the task's reliability and validity, and to discuss its clinical utility. The intention-reading task was administered to twenty 4-7-year-olds with typical development (TD) and ten with autism spectrum disorder (ASD). Task items were embedded in an authentic activity, and they targeted the child's ability to identify the examiner's referential and social intentions, which were communicated through joint attention behaviours. Reliability and construct validity evidence were addressed using established psychometric methods. Reliability and validity evidence supported the use of task scores for identifying children whose intention-reading warranted concern. Evidence supported the reliability of task administration and coding, and item-level codes were highly consistent with overall task performance. Supporting task validity, group differences aligned with predictions, with children with ASD exhibiting poorer and more variable task scores than children with TD. Also, as predicted, task scores correlated significantly with verbal mental age and ratings of parental concerns regarding social communication abilities. The evidence provides preliminary support for the reliability and validity of the clinical task's scores in assessing young children's real-time intention-reading abilities, which are essential for successful interactions in school and beyond. © 2014 Royal College of Speech and Language Therapists.

  5. Using multi-criteria decision analysis to assess the vulnerability of drinking water utilities.

    Science.gov (United States)

    Joerin, Florent; Cool, Geneviève; Rodriguez, Manuel J; Gignac, Marc; Bouchard, Christian

    2010-07-01

    Outbreaks of microbiological waterborne disease have increased governmental concern regarding the importance of drinking water safety. Considering the multi-barrier approach to safe drinking water may improve management decisions to reduce contamination risks. However, the application of this approach must consider numerous and diverse kinds of information simultaneously. This makes it difficult for authorities to apply the approach to decision making. For this reason, multi-criteria decision analysis can be helpful in applying the multi-barrier approach to vulnerability assessment. The goal of this study is to propose an approach based on a multi-criteria analysis method in order to rank drinking water systems (DWUs) based on their vulnerability to microbiological contamination. This approach is illustrated with an application carried out on 28 DWUs supplied by groundwater in the Province of Québec, Canada. The multi-criteria analysis method chosen is measuring attractiveness by a categorical based evaluation technique methodology allowing the assessment of a microbiological vulnerability indicator (MVI) for each DWU. Results are presented on a scale ranking DWUs from less vulnerable to most vulnerable to contamination. MVI results are tested using a sensitivity analysis on barrier weights and they are also compared with historical data on contamination at the utilities. The investigation demonstrates that MVI provides a good representation of the vulnerability of DWUs to microbiological contamination.

  6. Assessing the utility of frequency dependent nudging for reducing biases in biogeochemical models

    Science.gov (United States)

    Lagman, Karl B.; Fennel, Katja; Thompson, Keith R.; Bianucci, Laura

    2014-09-01

    Bias errors, resulting from inaccurate boundary and forcing conditions, incorrect model parameterization, etc. are a common problem in environmental models including biogeochemical ocean models. While it is important to correct bias errors wherever possible, it is unlikely that any environmental model will ever be entirely free of such errors. Hence, methods for bias reduction are necessary. A widely used technique for online bias reduction is nudging, where simulated fields are continuously forced toward observations or a climatology. Nudging is robust and easy to implement, but suppresses high-frequency variability and introduces artificial phase shifts. As a solution to this problem Thompson et al. (2006) introduced frequency dependent nudging where nudging occurs only in prescribed frequency bands, typically centered on the mean and the annual cycle. They showed this method to be effective for eddy resolving ocean circulation models. Here we add a stability term to the previous form of frequency dependent nudging which makes the method more robust for non-linear biological models. Then we assess the utility of frequency dependent nudging for biological models by first applying the method to a simple predator-prey model and then to a 1D ocean biogeochemical model. In both cases we only nudge in two frequency bands centered on the mean and the annual cycle, and then assess how well the variability in higher frequency bands is recovered. We evaluate the effectiveness of frequency dependent nudging in comparison to conventional nudging and find significant improvements with the former.

  7. Healthcare resource utilization after medium-term residential assessment for epilepsy and psychogenic nonepileptic seizures.

    Science.gov (United States)

    Anderson, James; Hill, Joanne; Alford, Max; Oto, Maria; Russell, Aline; Razvi, Saif

    2016-09-01

    Epilepsy and epilepsy mimics may lead to high healthcare resource utilization (HRU) including diagnostic resources. The William Quarrier Scottish Epilepsy Centre (SEC) provides medium-term residential assessment (MTRA; average length of stay: 28days) and treatment for complex presentations of epilepsy and related conditions (principally psychogenic nonepileptic seizures, PNES). We studied the effect of MTRA on HRU in a defined health board area in Scotland. A retrospective audit of individuals admitted to the SEC from a defined health board area using SEC and health board medical records. Neurological HRU assessed included emergency department visits, hospital admissions, outpatient clinic appointments, and brain imaging prior to and post-MTRA. Healthcare resource utilization was also compared with individuals referred but not admitted to the SEC because of individual circumstances and choice. Seventy-three individuals (51 female, average age: 37.51; 22 men, average age: 43.72) were identified from three years of admissions (1st April 2010 to 31st March 2013). Final diagnosis was epilepsy (ES), 32; ES and psychogenic nonepileptic seizures (ES+PNES), 17; and PNES alone, 24. Twenty-two individuals were identified as a comparison group (8 men, 14 women; average age: 37.21 and 43.90, respectively). Total average contacts per patient per year (CPY) was significantly different pre- and post-MTRA (4.16 vs. 1.32; t(72)=6.11, pepilepsy (with or without PNES), HRU use dropped significantly in the year after admission, and these gains remained stable (total first vs. third postdischarge CPY, 1.74 vs. 1.29). The participants in the comparison group, who were not admitted, had no comparable drop across the study period and were using significantly more resources at each follow-up point than those in the admitted group (F (1, 48)=44.45, p<.01, ηp(2)=.49). Medium-term residential assessment is associated with sustained reduction in HRU especially in patients with PNES. Overall

  8. Assessment of network inference methods: how to cope with an underdetermined problem.

    Directory of Open Access Journals (Sweden)

    Caroline Siegenthaler

    Full Text Available The inference of biological networks is an active research area in the field of systems biology. The number of network inference algorithms has grown tremendously in the last decade, underlining the importance of a fair assessment and comparison among these methods. Current assessments of the performance of an inference method typically involve the application of the algorithm to benchmark datasets and the comparison of the network predictions against the gold standard or reference networks. While the network inference problem is often deemed underdetermined, implying that the inference problem does not have a (unique solution, the consequences of such an attribute have not been rigorously taken into consideration. Here, we propose a new procedure for assessing the performance of gene regulatory network (GRN inference methods. The procedure takes into account the underdetermined nature of the inference problem, in which gene regulatory interactions that are inferable or non-inferable are determined based on causal inference. The assessment relies on a new definition of the confusion matrix, which excludes errors associated with non-inferable gene regulations. For demonstration purposes, the proposed assessment procedure is applied to the DREAM 4 In Silico Network Challenge. The results show a marked change in the ranking of participating methods when taking network inferability into account.

  9. Using Brief Assessments to Select Math Fluency and On-Task Behavior Interventions: An Investigation of Treatment Utility

    Science.gov (United States)

    Gilbertson, Donna; Witt, Joseph C.; Duhon, Gary; Dufrene, Brad

    2008-01-01

    This study examined the utility of a brief assessment approach for identifying a potentially effective intervention to improve math performance and on-task behavior. Participants included four elementary students referred for intervention services in the general education classroom. A brief individual assessment was conducted with each participant…

  10. Assessing citation networks for dissemination and implementation research frameworks.

    Science.gov (United States)

    Skolarus, Ted A; Lehmann, Todd; Tabak, Rachel G; Harris, Jenine; Lecy, Jesse; Sales, Anne E

    2017-07-28

    A recent review of frameworks used in dissemination and implementation (D&I) science described 61 judged to be related either to dissemination, implementation, or both. The current use of these frameworks and their contributions to D&I science more broadly has yet to be reviewed. For these reasons, our objective was to determine the role of these frameworks in the development of D&I science. We used the Web of Science™ Core Collection and Google Scholar™ to conduct a citation network analysis for the key frameworks described in a recent systematic review of D&I frameworks (Am J Prev Med 43(3):337-350, 2012). From January to August 2016, we collected framework data including title, reference, publication year, and citations per year and conducted descriptive and main path network analyses to identify those most important in holding the current citation network for D&I frameworks together. The source article contained 119 cited references, with 50 published articles and 11 documents identified as a primary framework reference. The average citations per year for the 61 frameworks reviewed ranged from 0.7 to 103.3 among articles published from 1985 to 2012. Citation rates from all frameworks are reported with citation network analyses for the framework review article and ten highly cited framework seed articles. The main path for the D&I framework citation network is presented. We examined citation rates and the main paths through the citation network to delineate the current landscape of D&I framework research, and opportunities for advancing framework development and use. Dissemination and implementation researchers and practitioners may consider frequency of framework citation and our network findings when planning implementation efforts to build upon this foundation and promote systematic advances in D&I science.

  11. Use of Neural Networks for Damage Assessment in a Steel Mast

    DEFF Research Database (Denmark)

    Kirkegaard, Poul Henning; Rytter, A.

    1994-01-01

    excitation. The basic idea is to train a neural network with simulated patterns of the relative changes in natural frequencies and corresponding sizes and locations of damages in order to recognize the behaviour of the damaged as well as the undamaged structure. Subjecting this trained neural network...... bolted joint consists of 4 slice plates giving the possibilities of simulating a 1/4, 1/2, 3/4 and full reduction of the area of a diagonal. A damage is simulated by removing one or more splice plates in these bolted joints. The utility of the neural network approach is demonstrated by a simulation study...... as well as full-scale tests where the mast is identified by an ARMA-model. The results show that a neural network trained with simulated data is capable for detecting location of a damage in a steel lattice mast when the network is subjected to experimental data.·...

  12. E-commerce System Security Assessment based on Bayesian Network Algorithm Research

    OpenAIRE

    Ting Li; Xin Li

    2013-01-01

    Evaluation of e-commerce network security is based on assessment method Bayesian networks, and it first defines the vulnerability status of e-commerce system evaluation index and the vulnerability of the state model of e-commerce systems, and after the principle of the Bayesian network reliability of e-commerce system and the criticality of the vulnerabilities were analyzed, experiments show that the change method is a good evaluation of the security of e-commerce systems.

  13. What should be reported in a methods section on utility assessment?

    NARCIS (Netherlands)

    Stalmeier, P.F.M.; Goldstein, M.K.; Holmes, A.M.; Lenert, L.; Miyamoto, J.; Stiggelbout, A.M.; Torrance, G.W.; Tsevat, J.

    2001-01-01

    The measurement of utilities, or preferences, for health states, may be affected by the technique used. Unfortunately, in papers reporting utilities, it is often difficult to infer how the utility measurement was carried out. Purpose: To present a list of components that, when described, provide

  14. What should be reported in a methods section on utility assessment?

    NARCIS (Netherlands)

    Stalmeier, P.F.M.; Goldstein, M.K.; Holmes, A.M.; Lenert, L.; Miyamoto, J.; Stiggelbout, A.M.; Torrance, G.W.; Tsevat, J.

    2001-01-01

    BACKGROUND: The measurement of utilities, or preferences, for health states may be affected by the technique used. Unfortunately, in papers reporting utilities, it is often difficult to infer how the utility measurement was carried out. PURPOSE: To present a list of components that, when described,

  15. The Utility of a Population Approach in Drug-Drug Interaction Assessments: A Simulation Evaluation.

    Science.gov (United States)

    Wang, Diane D; Yu, Yanke; Kassir, Nastya; Zhu, Min; Hanley, William D; Earp, Justin C; Chow, Andrew T; Gupta, Manish; Hu, Chuanpu

    2017-10-01

    This study aims at evaluating the utility of the population pharmacokinetics approach in therapeutic protein drug-drug-interaction (DDI) assessment. Simulations were conducted for 2 representative victim drugs, methotrexate and trastuzumab, using a parallel-group design with and without the interaction drug. The effect of a perpetrator on the exposure of the victim drug is described as the ratio of clearance/apparent clearance of the victim drug given with or without the perpetrator. The power of DDI assessment was calculated as the percentage of runs with 90% confidence interval of the estimated DDI effect within 80% to 125% for the scenarios of no DDI, benchmarked with the noncompartmental approach with intensive sampling. The impact of the number of subjects, the number of sampling points per subject, sampling time error, and model misspecification on the power of DDI determination were evaluated. Results showed that with equal numbers of subjects in each arm, the population pharmacokinetics approach with sparse sampling may need about the same or a higher number of subjects compared to a noncompartmental approach in order to achieve similar power. Increasing the number of subjects, even if only in the study drug alone arm, can increase the power. Sampling or dosing time error had notable impacts on the power for methotrexate but not for trastuzumab. Model misspecification had no notable impacts on the power for trastuzumab. Overall, the population pharmacokinetics approach with sparse sampling built in phase 2/3 studies allows appropriate DDI assessment with adequate study design and analysis and can be considered as an alternative to dedicated DDI studies. © 2017, The American College of Clinical Pharmacology.

  16. The utility of Advanced Trauma Life Support (ATLS) clinical shock grading in assessment of trauma.

    Science.gov (United States)

    Lawton, Luke D; Roncal, Sue; Leonard, Elizabeth; Stack, Amanda; Dinh, Michael M; Byrne, Christopher M; Petchell, Jeffrey

    2014-05-01

    Acute haemorrhage is a major contributor to trauma related morbidity and mortality. Quantifying blood loss acutely and accurately is a difficult task and no currently accepted standard exists. We introduce a simple shock grading tool incorporating vital signs, fluid response and estimated blood loss to describe shock grade during the primary survey based on the original Advanced Trauma Life Support (ATLS) classification. We performed a prospective cohort study of all trauma patients admitted to our emergency room over a 1-year period to evaluate the utility of this tool for emergency physicians to detect significant haemorrhage in the trauma patient. Shock grades were prospectively assigned to patients by the trauma team as part of the primary survey, and followed up to assess for outcomes. The primary outcome was a composite endpoint of clinical, radiological and operative findings consistent with significant haemorrhage. Data were analysed using linear and logistic regression to assess predictive ability and receiver operator characteristic curve to assess overall diagnostic accuracy. The overall sensitivity of the shock grading tool was 83%. The diagnostic accuracy based on area under receiver operator characteristic curve was 0.86. There was also a significant association between increasing shock grade and both injury severity score (β coefficient 7.0, pATLS based clinical tool that objectively categorises haemorrhagic shock is a useful part of the primary survey of the trauma patient, although a larger study with higher statistical power is required to evaluate this conclusion further. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  17. Variability in blood and blood component utilization as assessed by an anesthesia information management system.

    Science.gov (United States)

    Frank, Steven M; Savage, Will J; Rothschild, Jim A; Rivers, Richard J; Ness, Paul M; Paul, Sharon L; Ulatowski, John A

    2012-07-01

    Data can be collected for various purposes with anesthesia information management systems. The authors describe methods for using data acquired from an anesthesia information management system to assess intraoperative utilization of blood and blood components. Over an 18-month period, data were collected on 48,086 surgical patients at a tertiary care academic medical center. All data were acquired with an automated anesthesia recordkeeping system. Detailed reports were generated for blood and blood component utilization according to surgical service and surgical procedure, and for individual surgeons and anesthesiologists. Transfusion hemoglobin trigger and target concentrations were compared among surgical services and procedures, and between individual medical providers. For all patients given erythrocytes, the mean transfusion hemoglobin trigger was 8.4 ± 1.5, and the target was 10.2 ± 1.5 g/dl. Variation was significant among surgical services (trigger range: 7.5 ± 1.2-9.5 ± 1.1, P = 0.0001; target range: 9.1 ± 1.2-11.3 ± 1.4 g/dl, P = 0.002), surgeons (trigger range: 7.2 ± 0.7-9.8 ± 1.0, P = 0.001; target range: 8.8 ± 0.9-11.8 ± 1.3 g/dl, P = 0.001), and anesthesiologists (trigger range: 7.2 ± 0.8-9.6 ± 1.2, P = 0.001; target range: 9.0 ± 0.9-11.7 ± 1.3 g/dl, P = 0.0004). The use of erythrocyte salvage, fresh frozen plasma, and platelets varied threefold to fourfold among individual surgeons compared with their peers performing the same surgical procedure. The use of data acquired from an anesthesia information management system allowed a detailed analysis of blood component utilization, which revealed significant variation among surgical services and surgical procedures, and among individual anesthesiologists and surgeons compared with their peers. Incorporating these methods of data acquisition and analysis into a blood management program could reduce unnecessary transfusions, an outcome that may increase patient safety and reduce costs.

  18. An Optimum Space-to-Ground Communication Concept for CubeSat Platform Utilizing NASA Space Network and Near Earth Network

    Science.gov (United States)

    Wong, Yen F.; Kegege, Obadiah; Schaire, Scott H.; Bussey, George; Altunc, Serhat; Zhang, Yuwen; Patel, Chitra

    2016-01-01

    National Aeronautics and Space Administration (NASA) CubeSat missions are expected to grow rapidly in the next decade. Higher data rate CubeSats are transitioning away from Amateur Radio bands to higher frequency bands. A high-level communication architecture for future space-to-ground CubeSat communication was proposed within NASA Goddard Space Flight Center. This architecture addresses CubeSat direct-to-ground communication, CubeSat to Tracking Data Relay Satellite System (TDRSS) communication, CubeSat constellation with Mothership direct-to-ground communication, and CubeSat Constellation with Mothership communication through K-Band Single Access (KSA).A Study has been performed to explore this communication architecture, through simulations, analyses, and identifying technologies, to develop the optimum communication concepts for CubeSat communications. This paper will present details of the simulation and analysis that include CubeSat swarm, daughter shipmother ship constellation, Near Earth Network (NEN) S and X-band direct to ground link, TDRS Multiple Access (MA) array vs Single Access mode, notional transceiverantenna configurations, ground asset configurations and Code Division Multiple Access (CDMA) signal trades for daughter mother CubeSat constellation inter-satellite crosslink. Results of Space Science X-band 10 MHz maximum achievable data rate study will be summarized. Assessment of Technology Readiness Level (TRL) of current CubeSat communication technologies capabilities will be presented. Compatibility test of the CubeSat transceiver through NEN and Space Network (SN) will be discussed. Based on the analyses, signal trade studies and technology assessments, the functional design and performance requirements as well as operation concepts for future CubeSat end-to-end communications will be derived.

  19. Reconfigurable intensity modulation and direct detection optical transceivers for variable-rate wavelength-division-multiplexing passive optical networks utilizing digital signal processing-based symbol mapper

    Science.gov (United States)

    Zhang, Zhiguo; Zhang, Bingbing; Chen, Yanxu; Chen, Xue

    2017-01-01

    Variable-rate intensity modulation and direct detection-based optical transceivers with software-controllable reconfigurability and transmission performance adaptability are experimentally demonstrated, utilizing M-QAM symbol mapping implemented in MATLAB® programs. A frequency division multiplexing-based symbol demapping and wavelength management method is proposed for the symbol demapper and tunable laser management used in colorless optical network unit.

  20. Value Assessment of Distribution Network Reconfiguration: A Danish Case Study

    DEFF Research Database (Denmark)

    Vaskantiras, Georgios; You, Shi

    2016-01-01

    Distribution network reconfiguration is a mechanism that can improve the distribution system performance from multiple perspectives. In the context of smart grid wherein the degrees of automation and intelligence are high, the potential value of network reconfiguration can be significant....... This paper presents a case study-based analysis to explore the potential value of reconfiguration in detail. The study is performed using a 10kV distribution grid of Denmark, while reconfiguration is applied to minimize the energy losses under both normal and post-fault conditions. The results show...... that although the reconfiguration is performed to achieve a single objective, the overall network performance is improved. In addition, the value achieved by reconfiguration can be very sensitive to the reconfiguration frequency and the associated cost....

  1. An assessment of climate change impacts on micro-hydropower energy recovery in water supply networks

    Science.gov (United States)

    Brady, Jennifer; Patil, Sopan; McNabola, Aonghus; Gallagher, John; Coughlan, Paul; Harris, Ian; Packwood, Andrew; Williams, Prysor

    2015-04-01

    Continuity of service of a high quality water supply is vital in sustaining economic and social development. However, water supply and wastewater treatment are highly energy intensive processes and the overall cost of water provision is rising rapidly due to increased energy costs, higher capital investment requirements, and more stringent regulatory compliance in terms of both national and EU legislation. Under the EU Directive 2009/28/EC, both Ireland and the UK are required to have 16% and 15% respectively of their electricity generated by renewable sources by 2020. The projected impacts of climate change, population growth and urbanisation will place additional pressures on resources, further increasing future water demand which in turn will lead to higher energy consumption. Therefore, there is a need to achieve greater efficiencies across the water industry. The implementation of micro-hydropower turbines within the water supply network has shown considerable viability for energy recovery. This is achieved by harnessing energy at points of high flow or pressure along the network which can then be utilised on site or alternatively sold to the national grid. Micro-hydropower can provide greater energy security for utilities together with a reduction in greenhouse gas emissions. However, potential climate change impacts on water resources in the medium-to-long term currently act as a key barrier to industry confidence as changes in flow and pressure within the network can significantly alter the available energy for recovery. The present study aims to address these uncertainties and quantify the regional and local impacts of climate change on the viability of energy recovery across water infrastructure in Ireland and the UK. Specifically, the research focuses on assessing the potential future effects of climate change on flow rates at multiple pressure reducing valve sites along the water supply network and also in terms of flow at a number of wastewater

  2. Quinone-based stable isotope probing for assessment of 13C substrate-utilizing bacteria

    Science.gov (United States)

    Kunihiro, Tadao; Katayama, Arata; Demachi, Toyoko; Veuger, Bart; Boschker, Henricus T. S.; van Oevelen, Dick

    2015-04-01

    In this study, we attempted to establish quinone-stable-isotope probing (SIP) technique to link substrate-utilizing bacterial group to chemotaxonomic group in bacterial community. To identify metabolically active bacterial group in various environments, SIP techniques combined with biomarkers have been widely utilized as an attractive method for environmental study. Quantitative approaches of the SIP technique have unique advantage to assess substrate-incorporation into bacteria. As a most major quantitative approach, SIP technique based on phospholipid-derived fatty acids (PLFA) have been applied to simultaneously assess substrate-incorporation rate into bacteria and microbial community structure. This approach is powerful to estimate the incorporation rate because of the high sensitivity due to the detection by a gas chromatograph-combustion interface-isotope ratio mass spectrometer (GC-c-IRMS). However, its phylogenetic resolution is limited by specificity of a compound-specific marker. We focused on respiratory quinone as a biomarker. Our previous study found a good correlation between concentrations of bacteria-specific PLFAs and quinones over several orders of magnitude in various marine sediments, and the quinone method has a higher resolution (bacterial phylum level) for resolving differences in bacterial community composition more than that of bacterial PLFA. Therefore, respiratory quinones are potentially good biomarkers for quantitative approaches of the SIP technique. The LC-APCI-MS method as molecular-mass based detection method for quinone was developed and provides useful structural information for identifying quinone molecular species in environmental samples. LC-MS/MS on hybrid triple quadrupole/linear ion trap, which enables to simultaneously identify and quantify compounds in a single analysis, can detect high molecular compounds with their isotope ions. Use of LC-MS/MS allows us to develop quinone-SIP based on molecular mass differences due to

  3. Assessing socioeconomic health care utilization inequity in Israel: impact of alternative approaches to morbidity adjustment

    Science.gov (United States)

    2011-01-01

    Background The ability to accurately detect differential resource use between persons of different socioeconomic status relies on the accuracy of health-needs adjustment measures. This study tests different approaches to morbidity adjustment in explanation of health care utilization inequity. Methods A representative sample was selected of 10 percent (~270,000) adult enrolees of Clalit Health Services, Israel's largest health care organization. The Johns-Hopkins University Adjusted Clinical Groups® were used to assess each person's overall morbidity burden based on one year's (2009) diagnostic information. The odds of above average health care resource use (primary care visits, specialty visits, diagnostic tests, or hospitalizations) were tested using multivariate logistic regression models, separately adjusting for levels of health-need using data on age and gender, comorbidity (using the Charlson Comorbidity Index), or morbidity burden (using the Adjusted Clinical Groups). Model fit was assessed using tests of the Area Under the Receiver Operating Characteristics Curve and the Akaike Information Criteria. Results Low socioeconomic status was associated with higher morbidity burden (1.5-fold difference). Adjusting for health needs using age and gender or the Charlson index, persons of low socioeconomic status had greater odds of above average resource use for all types of services examined (primary care and specialist visits, diagnostic tests, or hospitalizations). In contrast, after adjustment for overall morbidity burden (using Adjusted Clinical Groups), low socioeconomic status was no longer associated with greater odds of specialty care or diagnostic tests (OR: 0.95, CI: 0.94-0.99; and OR: 0.91, CI: 0.86-0.96, for specialty visits and diagnostic respectively). Tests of model fit showed that adjustment using the comprehensive morbidity burden measure provided a better fit than age and gender or the Charlson Index. Conclusions Identification of socioeconomic

  4. Assessing Social Networks in Patients with Psychotic Disorders: A Systematic Review of Instruments.

    Science.gov (United States)

    Siette, Joyce; Gulea, Claudia; Priebe, Stefan

    2015-01-01

    Evidence suggests that social networks of patients with psychotic disorders influence symptoms, quality of life and treatment outcomes. It is therefore important to assess social networks for which appropriate and preferably established instruments should be used. To identify instruments assessing social networks in studies of patients with psychotic disorders and explore their properties. A systematic search of electronic databases was conducted to identify studies that used a measure of social networks in patients with psychotic disorders. Eight instruments were identified, all of which had been developed before 1991. They have been used in 65 studies (total N of patients = 8,522). They assess one or more aspects of social networks such as their size, structure, dimensionality and quality. Most instruments have various shortcomings, including questionable inter-rater and test-retest reliability. The assessment of social networks in patients with psychotic disorders is characterized by a variety of approaches which may reflect the complexity of the construct. Further research on social networks in patients with psychotic disorders would benefit from advanced and more precise instruments using comparable definitions of and timescales for social networks across studies.

  5. Vibration Based Damage Assessment of a Civil Engineering Structures using a Neural Networks

    DEFF Research Database (Denmark)

    Kirkegaard, Poul Henning; Rytter, A.

    In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with the Backpropagation Algorith as a non-destructive damage assessment technique to locate and quantify a damage in Civil Engineering structures is investigated. Since artificial neural networks are proving...

  6. Risk assessment of logistics outsourcing based on BP neural network

    Science.gov (United States)

    Liu, Xiaofeng; Tian, Zi-you

    The purpose of this article is to evaluate the risk of the enterprises logistics outsourcing. To get this goal, the paper first analysed he main risks existing in the logistics outsourcing, and then set up a risk evaluation index system of the logistics outsourcing; second applied BP neural network into the logistics outsourcing risk evaluation and used MATLAB to the simulation. It proved that the network error is small and has strong practicability. And this method can be used by enterprises to evaluate the risks of logistics outsourcing.

  7. Performance assessment of Beijing Lightning Network (BLNET) and comparison with other lightning location networks across Beijing

    Science.gov (United States)

    Srivastava, Abhay; Tian, Ye; Qie, Xiushu; Wang, Dongfang; Sun, Zhuling; Yuan, Shanfeng; Wang, Yu; Chen, Zhixiong; Xu, Wenjing; Zhang, Hongbo; Jiang, Rubin; Su, Debin

    2017-11-01

    The performances of Beijing Lightning Network (BLNET) operated in Beijing-Tianjin-Hebei urban cluster area have been evaluated in terms of detection efficiency and relative location accuracy. A self-reference method has been used to show the detection efficiency of BLNET, for which fast antenna waveforms have been manually examined. Based on the fast antenna verification, the average detection efficiency of BLNET is 97.4% for intracloud (IC) flashes, 73.9% for cloud-to-ground (CG) flashes and 93.2% for the total flashes. Result suggests the CG detection of regional dense network is highly precise when the thunderstorm passes over the network; however it changes day to day when the thunderstorms are outside the network. Further, the CG stroke data from three different lightning location networks across Beijing are compared. The relative detection efficiency of World Wide Lightning Location Network (WWLLN) and Chinese Meteorology Administration - Lightning Detection Network (CMA-LDN, also known as ADTD) are approximately 12.4% (16.8%) and 36.5% (49.4%), respectively, comparing with fast antenna (BLNET). The location of BLNET is in middle, while WWLLN and CMA-LDN average locations are southeast and northwest, respectively. Finally, the IC pulses and CG return stroke pulses have been compared with the S-band Doppler radar. This type of study is useful to know the approximate situation in a region and improve the performance of lightning location networks in the absence of ground truth. Two lightning flashes occurred on tower in the coverage of BLNET show that the horizontal location error was 52.9 m and 250 m, respectively.

  8. National Coal Utilization Assessment: a preliminary assessment of coal utilizaton in the South. [Southern USA to 2020; forecasting

    Energy Technology Data Exchange (ETDEWEB)

    Berry, L. B.; Bjornstad, D. J.; Boercker, F. D.

    1978-01-01

    Some of the major problems and issues related to coal development and use in the South are identified and assessed assuming a base-case energy scenario for the next 45 years. This scenario assumes a midrange of coal use and a relatively high rate of nuclear use over the forecast period. The potential impacts from coal development and use are significant, particularly in the 1990-2020 time period. Practically all available sites suitable for power plant development in the assessment will be utilized by 2020. Overall, sulfur dioxide will be well below the annual primary standard; however, several local hot-spot areas were identified. In addition, sulfate concentrations will be increased significantly, particularly over Virginia, West Virginia, and northern Kentucky. Coal mining is expected to affect 6 of the 12 major ecological regions. Coal mining will lead to increased average suspended sediment concentrations in some river basins, and special measures will be required to control acid discharges from active mines in pyritic regions. The increased mining of coal and subsequent sulfur dioxide increases from its combustion may also give rise to a land-use confrontation with food and fiber production. Potential health effects from exposure to sulfur dioxide and sulfates are expected to increase rapidly in several areas, particularly in parts of Kentucky, Maryland, District of Columbia, and Georgia. Regional social costs should be relatively low, although some site-specific costs are expected to be very high. Alternative energy technologies, careful siting selection, and deployment of environmental control technologies and operating policies will be required to reduce or mitigate these potential impacts.

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

    Science.gov (United States)

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

    2015-01-01

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

  10. Assessment of neural networks performance in modeling rainfall ...

    African Journals Online (AJOL)

    This paper presents the evaluation of performance of Neural Network (NN) model in predicting the behavioral pattern of rainfall depths of some locations in the North Central zones of Nigeria. The input to the model is the consecutive rainfall depths data obtained from the Nigerian Meteorological (NiMET) Agency. The neural ...

  11. A Methodology for Assessing Eco-efficiency in Logistics Networks

    NARCIS (Netherlands)

    J. Quariguasi Frota Neto (João); G. Walther; J.M. Bloemhof-Ruwaard (Jacqueline); J.A.E.E. van Nunen (Jo); T. Spengler

    2006-01-01

    textabstractRecent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and business concerns? (ii) How to improve the understanding of the trade-offs between these two dimensions? We posit that a complete

  12. A Methodology for Assessing Eco-Efficiency in Logistics Networks

    NARCIS (Netherlands)

    J. Quariguasi Frota Neto (João); G. Walther; J.M. Bloemhof-Ruwaard (Jacqueline); J.A.E.E. van Nunen (Jo); T. Spengler

    2007-01-01

    textabstractRecent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and business concerns? (ii) How to improve the understanding of the trade-offs between these two dimensions? We posit that a complete

  13. A Methodology for Assessing Eco-Efficiency in Logistics Networks

    NARCIS (Netherlands)

    Quariguasi Frota Neto, J.; Walther, G.; Bloemhof, J.M.; Nunen, van J.A.E.E.; Spengler, T.

    2009-01-01

    Recent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and business concerns? (ii) How to improve the understanding of the trade-offs between these two dimensions? We posit that a visual exploration of

  14. Artificial Neural Networks in Policy Research: A Current Assessment.

    Science.gov (United States)

    Woelfel, Joseph

    1993-01-01

    Suggests that artificial neural networks (ANNs) exhibit properties that promise usefulness for policy researchers. Notes that ANNs have found extensive use in areas once reserved for multivariate statistical programs such as regression and multiple classification analysis and are developing an extensive community of advocates for processing text…

  15. Assessing Security-Critical Energy-Efficient Sensor Networks

    NARCIS (Netherlands)

    Law, Y.W.; Dulman, S.O.; Etalle, Sandro; Havinga, Paul J.M.

    In the EYES project (http://eyes.eu.org), we are investigating self-organizing, collaborative, energy-efficient sensor networks. This study is devoted to the security aspects of the project. Our contribution is three-fold: firstly, we present a survey, where we discuss the dominant issues of

  16. Assessing Security in Energy-Efficient Sensor Networks

    NARCIS (Netherlands)

    Law, Y.W.; Etalle, Sandro; Dulman, S.O.; Hartel, Pieter H.; Havinga, Paul J.M.; Gritzalis, D.; De Capitani di Vimercati, S.; Samarati, P.; Katsikas, S.K.

    In the EYES project, we are investigating self-organizing, collaborative, energy-efficient sensor networks. This study is devoted to the security aspects of the project. Our contribution is three-fold: firstly, we present a survey, where we discuss the dominant issues of energy-security trade-off in

  17. Performance Assessment of Network Intrusion-Alert Prediction

    Science.gov (United States)

    2012-09-01

    through honeypots, machines explicitly designated solely to learn the methods used by black-hats to probe and hack a system so that a network...Maintaining access Miscellanous Reverse engineering RFID tools Table 3. BackTrack Intrusion-detection System/Intrusion-prevention System Penetration

  18. Assessing the value of mediators in collaborative business networks

    NARCIS (Netherlands)

    Rensmann, B.; Weigand, H; Zhao, Z.; Dignum, M.V.; Dignum, F.P.M.; Hiel, Marcel

    2007-01-01

    One of the basic mechanisms of collaborative business networks is mediation. A literature review is presented that identifies meanings and roles of mediators. Based on the literature a framework is developed that can be used to describe and distinguish different types of mediator services. Core

  19. International Space Station (ISS) Plasma Contactor Unit (PCU) Utilization Plan Assessment Update

    Science.gov (United States)

    Hernandez-Pellerano, Amri; Iannello, Christopher J.; Garrett, Henry B.; Ging, Andrew T.; Katz, Ira; Keith, R. Lloyd; Minow, Joseph I.; Willis, Emily M.; Schneider, Todd A.; Whittlesey, Edward J.; hide

    2014-01-01

    The International Space Station (ISS) vehicle undergoes spacecraft charging as it interacts with Earth's ionosphere and magnetic field. The interaction can result in a large potential difference developing between the ISS metal chassis and the local ionosphere plasma environment. If an astronaut conducting extravehicular activities (EVA) is exposed to the potential difference, then a possible electrical shock hazard arises. The control of this hazard was addressed by a number of documents within the ISS Program (ISSP) including Catastrophic Safety Hazard for Astronauts on EVA (ISS-EVA-312-4A_revE). The safety hazard identified the risk for an astronaut to experience an electrical shock in the event an arc was generated on an extravehicular mobility unit (EMU) surface. A catastrophic safety hazard, by the ISS requirements, necessitates mitigation by a two-fault tolerant system of hazard controls. Traditionally, the plasma contactor units (PCUs) on the ISS have been used to limit the charging and serve as a "ground strap" between the ISS structure and the surrounding ionospheric plasma. In 2009, a previous NASA Engineering and Safety Center (NESC) team evaluated the PCU utilization plan (NESC Request #07-054-E) with the objective to assess whether leaving PCUs off during non-EVA time periods presented risk to the ISS through assembly completion. For this study, in situ measurements of ISS charging, covering the installation of three of the four photovoltaic arrays, and laboratory testing results provided key data to underpin the assessment. The conclusion stated, "there appears to be no significant risk of damage to critical equipment nor excessive ISS thermal coating damage as a result of eliminating PCU operations during non- EVA times." In 2013, the ISSP was presented with recommendations from Boeing Space Environments for the "Conditional" Marginalization of Plasma Hazard. These recommendations include a plan that would keep the PCUs off during EVAs when the

  20. Investigating the utility of clinical assessments to predict success with presbyopic contact lens correction.

    Science.gov (United States)

    Sivardeen, Ahmed; Laughton, Deborah; Wolffsohn, James S

    2016-10-01

    To determine the utility of a range of clinical and non-clinical indicators to aid the initial selection of the optimum presbyopic contact lens. In addition, to assess whether lens preference was influenced by the visual performance compared to the other designs trialled (intra-subject) or compared to participants who preferred other designs (inter-subject). A double-masked randomised crossover trial of Air Optix Aqua multifocal, PureVision 2 for Presbyopia, Acuvue OASYS for Presbyopia, Biofinity multifocal and monovision was conducted on 35 presbyopes (54.3±6.2years). Participant lifestyle, personality, pupil characteristics and aberrometry were assessed prior to lens fitting. After 4 weeks of wear, high and low contrast visual acuity (VA) under photopic and mesopic conditions, reading speed, Near Activity Visual Questionnaire (NAVQ) rating, subjective quality-of-vision scoring, defocus curves, stereopsis, halometry, aberrometry and ocular physiology were quantified. After trialling all the lenses, preference was mixed (n=12 Biofinity, n=10 monovision, n=7 Purevision, n=4 Air Optix Aqua, n=2 Oasys). Lens preference was not dependent on personality (F=1.182, p=0.323) or the hours spent working at near (p=0.535) or intermediate (p=0.759) distances. No intersubject or strong intrasubject relationships emerged between lens preference and reading speed, NAVQ rating, halo size, aberrometry or ocular physiology (p>0.05). Participant lifestyle and personality, ocular optics, contact lens visual performance and ocular physiology provided poor indicators of the preferred lens type after 4 weeks of wear. This is confounded by the wide range of task visual demands of presbyopes and the limited optical differences between current multifocal contact lens designs. Copyright © 2016 British Contact Lens Association. Published by Elsevier Ltd. All rights reserved.

  1. Utility of the Personality Assessment Inventory for Detecting Malingered ADHD in College Students.

    Science.gov (United States)

    Musso, Mandi W; Hill, Benjamin D; Barker, Alyse A; Pella, Russell D; Gouvier, Wm Drew

    2016-09-01

    The purpose of the current study is to examine the utility of the Personality Assessment Inventory (PAI) for detecting feigned ADHD in college students. A sample of 238 undergraduate students was recruited and asked to simulate ADHD (ADHD simulators) or respond honestly (controls) on the PAI. Archival data (n = 541) from individuals diagnosed with clinical ADHD, no diagnosis, learning disorder, mood/anxiety, comorbid ADHD-mood/anxiety, or suspect effort were used. Few individuals scored above the cutoffs on PAI validity scales. When alternative cutoff scores were examined, cutoffs of ≥77 on the Negative Impression Management (NIM) scale, ≥3 on the Malingering Index (MAL), and ≥1 on the Rogers Discriminant Function (RDF) yielded excellent specificity in all groups and sensitivities of .33, .30, and .20, respectively. Individuals who were asked to simulate ADHD easily manipulate the PAI; however, alternative cutoff scores proposed for PAI validity indices may improve the detection of feigned ADHD symptoms. © The Author(s) 2014.

  2. Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+: the utility of symptom dimensions.

    Directory of Open Access Journals (Sweden)

    Philip James Brittain

    Full Text Available Progress in personalised psychiatry is dependent on researchers having access to systematic and accurately acquired symptom data across clinical diagnoses. We have developed a structured psychiatric assessment tool, OPCRIT+, that is being introduced into the electronic medical records system of the South London and Maudsley NHS Foundation Trust which can help to achieve this. In this report we examine the utility of the symptom data being collected with the tool. Cross-sectional mental state data from a mixed-diagnostic cohort of 876 inpatients was subjected to a principal components analysis (PCA. Six components, explaining 46% of the variance in recorded symptoms, were extracted. The components represented dimensions of mania, depression, positive symptoms, anxiety, negative symptoms and disorganization. As indicated by component scores, different clinical diagnoses demonstrated distinct symptom profiles characterized by wide-ranging levels of severity. When comparing the predictive value of symptoms against diagnosis for a variety of clinical outcome measures (e.g. 'Overactive, aggressive behaviour', symptoms proved superior in five instances (R(2 range: 0.06-0.28 whereas diagnosis was best just once (R(2:0.25. This report demonstrates that symptom data being routinely gathered in an NHS trust, when documented on the appropriate tool, have considerable potential for onward use in a variety of clinical and research applications via representation as dimensions of psychopathology.

  3. Effective Grid Utilization: A Technical Assessment and Application Guide; April 2011 - September 2012

    Energy Technology Data Exchange (ETDEWEB)

    Balser, S.; Sankar, S.; Miller, R.; Rawlins, A.; Israel, M.; Curry, T.; Mason, T.

    2012-09-01

    In order to more fully integrate renewable resources, such as wind and solar, into the transmission system, additional capacity must be realized in the short term using the installed transmission capacity that exists today. The U.S. Department of Energy (DOE) and the National Renewable Energy Laboratory Transmission and Grid Integration Group supported this study to assemble the history of regulations and status of transmission technology to expand existing grid capacity. This report compiles data on various transmission technology methods and upgrades for increased capacity utilization of the existing transmission system and transmission corridors. The report discusses the technical merit of each method and explains how the method could be applied within the current regulatory structure to increase existing transmission conductor and/or corridor capacity. The history and current state of alternatives to new construction is presented for regulators, legislators, and other policy makers wrestling with issues surrounding integration of variable generation. Current regulations are assessed for opportunities to change them to promote grid expansion. To support consideration of these alternatives for expanding grid capacity, the report lists relevant rules, standards, and policy changes.

  4. Biophysical monitoring of cell cultures for quality assessment utilizing digital holographic microscopy

    Science.gov (United States)

    Kastl, Lena; Isbach, Michael; Dirksen, Dieter; Schnekenburger, Jürgen; Kemper, Björn

    2017-06-01

    Quality and reproducibility of cell-based assays strongly depend on the quality of the underlying cell culture which is influenced by various parameters like nutrient and growth factor availability, buffer conditions, subculture routines and optimal cell concentrations. Thus, methods for accurate assessment of objective cell parameters that characterize a specific cell line and detect global changes in cell culture are highly desirable. During the past years, quantitative phase imaging has been recognized as a promising tool for quantitative label-free live cell analysis. We demonstrate the utilization of quantitative phase imaging with digital holographic microscopy (DHM) to quantify the impact of cell culture conditions on single cells using a pancreatic tumor cell model. Label-free quantitative phase imaging of detached cells in suspension is performed by Michelson interferometer-based self-interference DHM. The quantitative phase images of the cells are analyzed for refractive index, volume and dry mass. We show that the evaluation of quantitative DHM phase images allows to extract absolute biophysical cellular parameters that are related to cell layer confluence states. In summary, the results of our study demonstrate that DHM is capable for label-free imaging cytometry with novel biophysical data sets that are acquired with minimum sample preparation for sophisticated monitoring of cell morphology alterations that are related to changes of cell culture conditions.

  5. Assessment of Novel Routes of Biomethane Utilization in a Life Cycle Perspective

    Directory of Open Access Journals (Sweden)

    Elham Ahmadi Moghaddam

    2016-12-01

    Full Text Available Biomethane, as a replacement for natural gas, reduces the use of fossil-based sources and supports the intended change from fossil to bio-based industry. The study assessed different biomethane utilization routes for production of methanol, dimethyl ether (DME, and ammonia, as fuel or platform chemicals, and combined heat and power (CHP. Energy efficiency and environmental impacts of the different pathways was studied in a life cycle perspective covering the technical system from biomass production to the end product. Among the routes studied, CHP had the highest energy balance and least environmental impact. DME and methanol performed competently in energy balance and environmental impacts in comparison with the ammonia route. DME had the highest total energy output, as fuel, heat, and steam, among the different routes studied. Substituting the bio-based routes for fossil-based alternatives would give a considerable reduction in environmental impacts such as global warming potential and acidification potential for all routes studied, especially CHP, DME, and methanol. Eutrophication potential was mainly a result of biomass and biomethane production, with marginal differences between the different routes.

  6. Assessing the Clinical Utility of SNP Microarray for Prader-Willi Syndrome due to Uniparental Disomy.

    Science.gov (United States)

    Santoro, Stephanie L; Hashimoto, Sayaka; McKinney, Aimee; Mihalic Mosher, Theresa; Pyatt, Robert; Reshmi, Shalini C; Astbury, Caroline; Hickey, Scott E

    2017-01-01

    Maternal uniparental disomy (UPD) 15 is one of the molecular causes of Prader-Willi syndrome (PWS), a multisystem disorder which presents with neonatal hypotonia and feeding difficulty. Current diagnostic algorithms differ regarding the use of SNP microarray to detect PWS. We retrospectively examined the frequency with which SNP microarray could identify regions of homozygosity (ROH) in patients with PWS. We determined that 7/12 (58%) patients with previously confirmed PWS by methylation analysis and microsatellite-positive UPD studies had ROH (>10 Mb) by SNP microarray. Additional assessment of 5,000 clinical microarrays, performed from 2013 to present, determined that only a single case of ROH for chromosome 15 was not caused by an imprinting disorder or identity by descent. We observed that ROH for chromosome 15 is rarely incidental and strongly associated with hypotonic infants having features of PWS. Although UPD microsatellite studies remain essential to definitively establish the presence of UPD, SNP microarray has important utility in the timely diagnostic algorithm for PWS. © 2017 S. Karger AG, Basel.

  7. A Supply-Chain Analysis Framework for Assessing Densified Biomass Solid Fuel Utilization Policies in China

    Directory of Open Access Journals (Sweden)

    Wenyan Wang

    2015-07-01

    Full Text Available Densified Biomass Solid Fuel (DBSF is a typical solid form of biomass, using agricultural and forestry residues as raw materials. DBSF utilization is considered to be an alternative to fossil energy, like coal in China, associated with a reduction of environmental pollution. China has abundant biomass resources and is suitable to develop DBSF. Until now, a number of policies aimed at fostering DBSF industry have been proliferated by policy makers in China. However, considering the seasonality and instability of biomass resources, these inefficiencies could trigger future scarcities of biomass feedstocks, baffling the resilience of biomass supply chains. Therefore, this review paper focuses on DBSF policies and strategies in China, based on the supply chain framework. We analyzed the current developing situation of DBSF industry in China and developed a framework for policy instruments based on the supply chain steps, which can be used to identify and assess the deficiencies of current DBSF industry policies, and we proposed some suggestions. These findings may inform policy development and identify synergies at different steps in the supply chain to enhance the development of DBSF industry.

  8. Research utilization in the building industry: decision model and preliminary assessment

    Energy Technology Data Exchange (ETDEWEB)

    Watts, R.L.; Johnson, D.R.; Smith, S.A.; Westergard, E.J.

    1985-10-01

    The Research Utilization Program was conceived as a far-reaching means for managing the interactions of the private sector and the federal research sector as they deal with energy conservation in buildings. The program emphasizes a private-public partnership in planning a research agenda and in applying the results of ongoing and completed research. The results of this task support the hypothesis that the transfer of R and D results to the buildings industry can be accomplished more efficiently and quickly by a systematic approach to technology transfer. This systematic approach involves targeting decision makers, assessing research and information needs, properly formating information, and then transmitting the information through trusted channels. The purpose of this report is to introduce elements of a market-oriented knowledge base, which would be useful to the Building Systems Division, the Office of Buildings and Community Systems and their associated laboratories in managing a private-public research partnership on a rational systematic basis. This report presents conceptual models and data bases that can be used in formulating a technology transfer strategy and in planning technology transfer programs.

  9. Vibration Based Damage Assessment of a Cantilever using a Neural Network

    DEFF Research Database (Denmark)

    Kirkegaard, Poul Henning; Rytter, A.

    In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with with the Backpropagation Algorithm as a non-destructive damage assessment technique to locate and quantify a damage in structures is investigated.......In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with with the Backpropagation Algorithm as a non-destructive damage assessment technique to locate and quantify a damage in structures is investigated....

  10. Mobile Phone Assessment in Egocentric Networks: A Pilot Study on Gay Men and Their Peers.

    OpenAIRE

    Comulada, WS

    2014-01-01

    Mobile phone-based data collection encompasses the richness of social network research. Both individual-level and network-level measures can be recorded. For example, health-related behaviors can be reported via mobile assessment. Social interactions can be assessed by phone-log data. Yet the potential of mobile phone data collection has largely been untapped. This is especially true of egocentric studies in public health settings where mobile phones can enhance both data collection and inter...

  11. Assessing Visibility of Individual Transmission Errors in Networked Video

    DEFF Research Database (Denmark)

    Korhonen, Jari; Mantel, Claire

    2016-01-01

    Traditionally, subjective video quality is assessed by user experiments involving quality ratings, pairwise comparisons, or rank ordering, based on the overall impression of quality. Less attention has been paid on assessing the visibility of individual defects. However, many practical applications...

  12. Systems chemistry : using thermodynamically controlled networks to assess molecular similarity

    NARCIS (Netherlands)

    Saggiomo, Vittorio; Hristova, Yana R.; Ludlow, R. Frederick; Otto, Sijbren

    2013-01-01

    Background: The assessment of mol. similarity is a key step in the drug discovery process that has thus far relied almost exclusively on computational approaches. We now report an exptl. method for similarity assessment based on dynamic combinatorial chem. Results: In order to assess mol. similarity

  13. Evaluation of higher distribution and/or utilization voltages. Fourth interim report (August 1980): assessment of optimum distribution configuration

    Energy Technology Data Exchange (ETDEWEB)

    1981-04-01

    This interim report provides documentation on the fourth task, Assessment of Optimum Distribution Configuration, of DOE Contract No. ET-78-C-01-2866, Evaluation of Higher Distribution and/or Utilization Voltages. The work performed under this task includes the development of a computer model for assessment of life cycle costs for the distribution and utilization systems, the development of an optimization algorithm to enable distribution system configuration optimization and a net energy analysis to determine potential net energy savings. Input data for this task derive from Task 3. The major output of this task is a documented computer code.

  14. A New Procedure for Damage Assessment of Prestressed Concrete Beams Using Artificial Neural Network

    Directory of Open Access Journals (Sweden)

    K. Sumangala

    2011-01-01

    Full Text Available A damage assessment procedure has been developed using artificial neural network (ANN for prestressed concrete beams. The methodology had been formulated using the results obtained from an experimental study conducted in the laboratory. Prestressed concrete (PSC rectangular beams were cast, and pitting corrosion was introduced in the prestressing wires and was allowed to be snapped using accelerated corrosion process. Both static and dynamic tests were conducted to study the behaviour of perfect and damaged beams. The measured output from both static and dynamic tests was taken as input to train the neural network. Back propagation network was chosen for this purpose, which was written using the programming package MATLAB. The trained network was tested using separate test data obtained from the tests. A damage assessment procedure was developed using the trained network, it was validated using the data available in literature, and the outcome is presented in this paper.

  15. The feasibility and utility of grocery receipt analyses for dietary assessment

    Directory of Open Access Journals (Sweden)

    Duan Yan

    2006-03-01

    Full Text Available Abstract Objective To establish the feasibility and utility of a simple data collection methodology for dietary assessment. Design Using a cross-sectional design, trained data collectors approached adults (~20 – 40 years of age at local grocery stores and asked whether they would volunteer their grocery receipts and answer a few questions for a small stipend ($1. Methods The grocery data were divided into 3 categories: "fats, oils, and sweets," "processed foods," and "low-fat/low-calorie substitutions" as a percentage of the total food purchase price. The questions assessed the shopper's general eating habits (eg, fast-food consumption and a few demographic characteristics and health aspects (eg, perception of body size. Statistical Analyses Performed. Descriptive and analytic analyses using non-parametric tests were conducted in SAS. Results Forty-eight receipts and questionnaires were collected. Nearly every respondent reported eating fast food at least once per month; 27% ate out once or twice a day. Frequency of fast-food consumption was positively related to perceived body size of the respondent (p = 0.02. Overall, 30% of the food purchase price was for fats, oils, sweets, 10% was for processed foods, and almost 6% was for low-fat/low-calorie substitutions. Households where no one was perceived to be overweight spent a smaller proportion of their food budget on fats, oils, and sweets than did households where at least one person was perceived to be overweight (p = 0.10; household where the spouse was not perceived to be overweight spent less on fats, oils, and sweets (p = 0.02 and more on low-fat/low-calorie substitutions (p = 0.09 than did households where the spouse was perceived to be overweight; and, respondents who perceived themselves to be overweight spent more on processed foods than did respondents who did not perceive themselves to be overweight (p = 0.06. Conclusion This simple dietary assessment method, although global in

  16. Morphological brain network assessed using graph theory and network filtration in deaf adults.

    Science.gov (United States)

    Kim, Eunkyung; Kang, Hyejin; Lee, Hyekyoung; Lee, Hyo-Jeong; Suh, Myung-Whan; Song, Jae-Jin; Oh, Seung-Ha; Lee, Dong Soo

    2014-09-01

    Prolonged deprivation of auditory input can change brain networks in pre- and postlingual deaf adults by brain-wide reorganization. To investigate morphological changes in these brains voxel-based morphometry, voxel-wise correlation with the primary auditory cortex, and whole brain network analyses using morphological covariance were performed in eight prelingual deaf, eleven postlingual deaf, and eleven hearing adults. Network characteristics based on graph theory and network filtration based on persistent homology were examined. Gray matter density in the primary auditor cortex was preserved in prelingual deafness, while it tended to decrease in postlingual deafness. Unlike postlingual, prelingual deafness showed increased bilateral temporal connectivity of the primary auditory cortex compared to the hearing adults. Of the graph theory-based characteristics, clustering coefficient, betweenness centrality, and nodal efficiency all increased in prelingual deafness, while all the parameters of postlingual deafness were similar to the hearing adults. Patterns of connected components changing during network filtration were different between prelingual deafness and hearing adults according to the barcode, dendrogram, and single linkage matrix representations, while these were the same in postlingual deafness. Nodes in fronto-limbic and left temporal components were closely coupled, and nodes in the temporo-parietal component were loosely coupled, in prelingual deafness. Patterns of connected components changing in postlingual deafness were the same as hearing adults. We propose that the preserved density of auditory cortex associated with increased connectivity in prelingual deafness, and closer coupling between certain brain areas, represent distinctive reorganization of auditory and related cortices compared with hearing or postlingual deaf adults. The differential network reorganization in the prelingual deaf adults could be related to the absence of auditory speech

  17. An Assessment of Contagion on Social Networking Sites

    DEFF Research Database (Denmark)

    Tussyadiah, Iis

    2012-01-01

    ocial network influence has been recognized as an important determinant for consumer behaviour. Through a web-based survey using restaurant consumption as a research context, this study explores social influence resulting from two distinct social reference processes: communication and comparison...... to competitionbased consumption. In other words, the more competitive the consumers are, the less they tend to follow others’ recommendation, the more they consume products and services to establish or maintain their status in the social network. Several managerial implications are provided........ The relationship between social interactions and social influence is moderated by opinion leadership and attitude towards status consumption, which are conceptualized to represent consumers’ competitiveness. Consumers’ status consumption contributes negatively to recommendation-based consumption, but positively...

  18. Heterogeneous Epidemic Model for Assessing Data Dissemination in Opportunistic Networks

    DEFF Research Database (Denmark)

    Rozanova, Liudmila; Alekseev, Vadim; Temerev, Alexander

    2014-01-01

    that amount of data transferred between network nodes possesses a Pareto distribution, implying scale-free properties. In this context, more heterogeneity in susceptibility means the less severe epidemic progression, and, on the contrary, more heterogeneity in infectivity leads to more severe epidemics...... — assuming that the other parameter (either heterogeneity or susceptibility) stays fixed. The results are general enough to be useful for estimating the epidemic progression with no significant acquired immunity — in the cases where Pareto distribution holds....

  19. Utility of the clue - From assessing the investigative contribution of forensic science to supporting the decision to use traces.

    Science.gov (United States)

    Bitzer, Sonja; Albertini, Nicola; Lock, Eric; Ribaux, Olivier; Delémont, Olivier

    2015-12-01

    In an attempt to grasp the effectiveness of forensic science in the criminal justice process, a number of studies introduced some form of performance indicator. However, most of these indicators suffer from different weaknesses, from the definition of forensic science itself to problems of reliability and validity. We suggest the introduction of the concept of utility of the clue as an internal evaluation indicator of forensic science in the investigation. Utility of the clue is defined as added value of information, gained by the use of traces. This concept could be used to assess the contribution of the trace in the context of the case. By extension, a second application of this concept is suggested. By formalising and considering, a priori, the perceived utility of using traces, we introduce the notion of expected utility that could be used as decision factor when choosing which traces to use, once they have been collected at the crime scene or from an object in the laboratory. In a case-based approach, utility can be assessed in the light of the available information to evaluate the investigative contribution of forensic science. In the decision-making process, the projection or estimation of the utility of the clue is proposed to be a factor to take into account when triaging the set of traces. Copyright © 2015 The Chartered Society of Forensic Sciences. Published by Elsevier Ireland Ltd. All rights reserved.

  20. Outcome Assessment for Cost-Utility Evaluations: SF-6D vs. EQ-5D

    DEFF Research Database (Denmark)

    Søgaard, Rikke; Christiansen, Terkel; Christensen, Finn Bjarke

    2010-01-01

    -utility evaluations, providing a cost per quality-adjusted life-year (QALY) for different choices, have become popular. If cost-utility evaluations are to be run alongside clinical trials, trialists have to append an instrument for the measurement of generic, preference-based outcomes. The objective of this chapter...

  1. Optimization of the transmission system for wavelength routed optical network: trade-off between node complexity and transmission channel utilization

    DEFF Research Database (Denmark)

    Limal, Emmanuel; Hjelme, Dag Roar; Stubkjær, Kristian Elmholdt

    1998-01-01

    We study the influence of the number of wavelengths per fibre and the line bit rate on network dimensions and transmission capacity utilisation for wavelength routed optical transport networks. The networks considered are of European scale, and the traffic matrices used are projections of a traffic...

  2. Assessment Of The Availability And Utilization Of Icts For Teaching And Learning In Secondary Schools - Case Of A High School In Kwekwe Zimbabwe.

    Directory of Open Access Journals (Sweden)

    Sibanda Mavellas

    2015-08-01

    Full Text Available This paper looked at the availability of common educational Information communications Technologies ICTs in secondary schools using a high school in Kwekwe Zimbabwe as a case study. Such technologies include computers radios televisions networks wireless technologies interactive boards internet email eLearning applications video conferencing and projectors just to mention but a few. It further assessed whether the available ICTs are being utilized by teachers and students looking at such usage activities as preparation for lessons lesson delivery issuing of assignments research and communications. The research further identified the factors that are hindering the ICT utilization in these schools among them lack of power supply insufficient resources fear of technology lack of interest ICT skills deficiency higher ICT cost and poor physical infrastructure. The findings were tabulated and analyzed. Recommendations were put forward on how to improve ICT availability and utilization at the school and schools in general for the betterment of teaching and learning. Conclusions were drawn from the findings.

  3. The Integration of Renewable Energy Sources into Electric Power Distribution Systems, Vol. II Utility Case Assessments

    Energy Technology Data Exchange (ETDEWEB)

    Zaininger, H.W.

    1994-01-01

    Electric utility distribution system impacts associated with the integration of renewable energy sources such as photovoltaics (PV) and wind turbines (WT) are considered in this project. The impacts are expected to vary from site to site according to the following characteristics: the local solar insolation and/or wind characteristics, renewable energy source penetration level, whether battery or other energy storage systems are applied, and local utility distribution design standards and planning practices. Small, distributed renewable energy sources are connected to the utility distribution system like other, similar kW- and MW-scale equipment and loads. Residential applications are expected to be connected to single-phase 120/240-V secondaries. Larger kW-scale applications may be connected to three+phase secondaries, and larger hundred-kW and y-scale applications, such as MW-scale windfarms, or PV plants, may be connected to electric utility primary systems via customer-owned primary and secondary collection systems. In any case, the installation of small, distributed renewable energy sources is expected to have a significant impact on local utility distribution primary and secondary system economics. Small, distributed renewable energy sources installed on utility distribution systems will also produce nonsite-specific utility generation system benefits such as energy and capacity displacement benefits, in addition to the local site-specific distribution system benefits. Although generation system benefits are not site-specific, they are utility-specific, and they vary significantly among utilities in different regions. In addition, transmission system benefits, environmental benefits and other benefits may apply. These benefits also vary significantly among utilities and regions. Seven utility case studies considering PV, WT, and battery storage were conducted to identify a range of potential renewable energy source distribution system applications. The

  4. Social Network Analysis and Qualitative Interviews for Assessing Geographic Characteristics of Tourism Business Networks.

    Science.gov (United States)

    Kelman, Ilan; Luthe, Tobias; Wyss, Romano; Tørnblad, Silje H; Evers, Yvette; Curran, Marina Martin; Williams, Richard J; Berlow, Eric L

    2016-01-01

    This study integrates quantitative social network analysis (SNA) and qualitative interviews for understanding tourism business links in isolated communities through analysing spatial characteristics. Two case studies are used, the Surselva-Gotthard region in the Swiss Alps and Longyearbyen in the Arctic archipelago of Svalbard, to test the spatial characteristics of physical proximity, isolation, and smallness for understanding tourism business links. In the larger Surselva-Gotthard region, we found a strong relationship between geographic separation of the three communities on compartmentalization of the collaboration network. A small set of businesses played a central role in steering collaborative decisions for this community, while a group of structurally 'peripheral' actors were less influential. By contrast, the business community in Svalbard showed compartmentalization that was independent of geographic distance between actors. Within towns of similar size and governance scale, Svalbard is more compartmentalized, and those compartments are not driven by geographic separation of the collaboration clusters. This compartmentalization in Svalbard was reflected in a lower density of formal business collaboration ties compared to the communities of the Alps. We infer that the difference is due to Svalbard having higher cultural diversity and population turnover than the Alps communities. We propose that integrating quantitative network analysis from simple surveys with qualitative interviews targeted from the network results is an efficient general approach to identify regionally specific constraints and opportunities for effective governance.

  5. Social Network Analysis and Qualitative Interviews for Assessing Geographic Characteristics of Tourism Business Networks.

    Directory of Open Access Journals (Sweden)

    Ilan Kelman

    Full Text Available This study integrates quantitative social network analysis (SNA and qualitative interviews for understanding tourism business links in isolated communities through analysing spatial characteristics. Two case studies are used, the Surselva-Gotthard region in the Swiss Alps and Longyearbyen in the Arctic archipelago of Svalbard, to test the spatial characteristics of physical proximity, isolation, and smallness for understanding tourism business links. In the larger Surselva-Gotthard region, we found a strong relationship between geographic separation of the three communities on compartmentalization of the collaboration network. A small set of businesses played a central role in steering collaborative decisions for this community, while a group of structurally 'peripheral' actors were less influential. By contrast, the business community in Svalbard showed compartmentalization that was independent of geographic distance between actors. Within towns of similar size and governance scale, Svalbard is more compartmentalized, and those compartments are not driven by geographic separation of the collaboration clusters. This compartmentalization in Svalbard was reflected in a lower density of formal business collaboration ties compared to the communities of the Alps. We infer that the difference is due to Svalbard having higher cultural diversity and population turnover than the Alps communities. We propose that integrating quantitative network analysis from simple surveys with qualitative interviews targeted from the network results is an efficient general approach to identify regionally specific constraints and opportunities for effective governance.

  6. Towards 'ecological coherence': Assessing larval dispersal within a network of existing Marine Protected Areas

    Science.gov (United States)

    Ross, Rebecca E.; Nimmo-Smith, W. Alex M.; Howell, Kerry L.

    2017-08-01

    The Convention on Biological Diversity mandates the establishment of Marine Protected Area (MPA) networks worldwide, with recommendations stating the importance of 'ecological coherence,' a responsibility to support and perpetuate the existing ecosystem, implying the need to sustain population connectivity. While recommendations exist for integrating connectivity data into MPA planning, little advice exists on how to assess the connectivity of existing networks. This study makes use of recently observed larval characteristics and freely available models to demonstrate how such an assessment could be undertaken. The cold water coral (CWC) Lophelia pertusa (Linnaeus, 1758) is used as a model species, as much of the NE Atlantic MPA network has been designated for CWC reef protection, but the ecological coherence of the network has yet to be assessed. Simulations are run for different behavioural null models allowing a comparison of 'passive' (current driven) and 'active' (currents + vertical migration) dispersal, while an average prediction is used for MPA assessment. This model suggests that the network may support widespread larval exchange and has good local retention rates but still has room for improvement. The best performing MPAs were large and central to the network facilitating transport across local dispersal barriers. On average, passive and active dispersal simulations gave statistically similar results, providing encouragement to future local dispersal assessments where active characteristics are unknown.

  7. The integration of renewable energy sources into electric power distribution systems. Volume 2, Utility case assessments

    Energy Technology Data Exchange (ETDEWEB)

    Zaininger, H.W.; Ellis, P.R.; Schaefer, J.C. [Zaininger Engineering Co., San Jose, CA (United States)

    1994-06-01

    Electric utility distribution system impacts associated with the integration of renewable energy sources such as photovoltaics (PV) and wind turbines (WT) are considered in this project. The impacts are expected to vary from site to site according to the following characteristics: (1) The local solar insolation and/or wind characteristics; (2) renewable energy source penetration level; (3) whether battery or other energy storage systems are applied; and (4) local utility distribution design standards and planning practices. Small, distributed renewable energy sources are connected to the utility distribution system like other, similar kW- and MW-scale equipment and loads. Residential applications are expected to be connected to single-phase 120/240-V secondaries. Larger kw-scale applications may be connected to three-phase secondaries, and larger hundred-kW and MW-scale applications, such as MW-scale windfarms or PV plants, may be connected to electric utility primary systems via customer-owned primary and secondary collection systems. Small, distributed renewable energy sources installed on utility distribution systems will also produce nonsite-specific utility generation system benefits such as energy and capacity displacement benefits, in addition to the local site-specific distribution system benefits. Although generation system benefits are not site-specific, they are utility-specific, and they vary significantly among utilities in different regions. In addition, transmission system benefits, environmental benefits and other benefits may apply. These benefits also vary significantly among utilities and regions. Seven utility case studies considering PV, WT, and battery storage were conducted to identify a range of potential renewable energy source distribution system applications.

  8. Utility of ultrasound for body fat assessment: validity and reliability compared to a multicompartment criterion.

    Science.gov (United States)

    Smith-Ryan, Abbie E; Blue, Malia N M; Trexler, Eric T; Hirsch, Katie R

    2018-03-01

    Measurement of body composition to assess health risk and prevention is expanding. Accurate portable techniques are needed to facilitate use in clinical settings. This study evaluated the accuracy and repeatability of a portable ultrasound (US) in comparison with a four-compartment criterion for per cent body fat (%Fat) in overweight/obese adults. Fifty-one participants (mean ± SD; age: 37·2 ± 11·3 years; BMI: 31·6 ± 5·2 kg m-2 ) were measured for %Fat using US (GE Logiq-e) and skinfolds. A subset of 36 participants completed a second day of the same measurements, to determine reliability. US and skinfold %Fat were calculated using the seven-site Jackson-Pollock equation. The Wang 4C model was used as the criterion method for %Fat. Compared to a gold standard criterion, US %Fat (36·4 ± 11·8%; P = 0·001; standard error of estimate [SEE] = 3·5%) was significantly higher than the criterion (33·0 ± 8·0%), but not different than skinfolds (35·3 ± 5·9%; P = 0·836; SEE = 4·5%). US resulted in good reliability, with no significant differences from Day 1 (39·95 ± 15·37%) to Day 2 (40·01 ± 15·42%). Relative consistency was 0·96, and standard error of measure was 0·94%. Although US overpredicted %Fat compared to the criterion, a moderate SEE for US is suggestive of a practical assessment tool in overweight individuals. %Fat differences reported from these field-based techniques are less than reported by other single-measurement laboratory methods and therefore may have utility in a clinical setting. This technique may also accurately track changes. © 2016 Scandinavian Society of Clinical Physiology and Nuclear Medicine. Published by John Wiley & Sons Ltd.

  9. A root cause analysis approach to risk assessment of a pipeline network for Kuwait Oil Company

    Energy Technology Data Exchange (ETDEWEB)

    Davies, Ray J.; Alfano, Tony D. [Det Norske Veritas (DNV), Rio de Janeiro, RJ (Brazil); Waheed, Farrukh [Kuwait Oil Company, Ahmadi (Kuwait); Komulainen, Tiina [Kongsberg Oil and Gas Technologies, Sandvika (Norway)

    2009-07-01

    A large scale risk assessment was performed by Det Norske Veritas (DNV) for the entire Kuwait Oil Company (KOC) pipeline network. This risk assessment was unique in that it incorporated the assessment of all major sources of process related risk faced by KOC and included root cause management system related risks in addition to technical risks related to more immediate causes. The assessment was conducted across the entire pipeline network with the scope divided into three major categories:1. Integrity Management 2. Operations 3. Management Systems Aspects of integrity management were ranked and prioritized using a custom algorithm based on critical data sets. A detailed quantitative risk assessment was then used to further evaluate those issues deemed unacceptable, and finally a cost benefit analysis approach was used to compare and select improvement options. The operations assessment involved computer modeling of the entire pipeline network to assess for bottlenecks, surge and erosion analysis, and to identify opportunities within the network that could potentially lead to increased production. The management system assessment was performed by conducting a gap analysis on the existing system and by prioritizing those improvement actions that best aligned with KOC's strategic goals for pipelines. Using a broad and three-pronged approach to their overall risk assessment, KOC achieved a thorough, root cause analysis-based understanding of risks to their system as well as a detailed list of recommended remediation measures that were merged into a 5-year improvement plan. (author)

  10. Smartphone technologies and Bayesian networks to assess shorebird habitat selection

    Science.gov (United States)

    Zeigler, Sara; Thieler, E. Robert; Gutierrez, Ben; Plant, Nathaniel G.; Hines, Megan K.; Fraser, James D.; Catlin, Daniel H.; Karpanty, Sarah M.

    2017-01-01

    Understanding patterns of habitat selection across a species’ geographic distribution can be critical for adequately managing populations and planning for habitat loss and related threats. However, studies of habitat selection can be time consuming and expensive over broad spatial scales, and a lack of standardized monitoring targets or methods can impede the generalization of site-based studies. Our objective was to collaborate with natural resource managers to define available nesting habitat for piping plovers (Charadrius melodus) throughout their U.S. Atlantic coast distribution from Maine to North Carolina, with a goal of providing science that could inform habitat management in response to sea-level rise. We characterized a data collection and analysis approach as being effective if it provided low-cost collection of standardized habitat-selection data across the species’ breeding range within 1–2 nesting seasons and accurate nesting location predictions. In the method developed, >30 managers and conservation practitioners from government agencies and private organizations used a smartphone application, “iPlover,” to collect data on landcover characteristics at piping plover nest locations and random points on 83 beaches and barrier islands in 2014 and 2015. We analyzed these data with a Bayesian network that predicted the probability a specific combination of landcover variables would be associated with a nesting site. Although we focused on a shorebird, our approach can be modified for other taxa. Results showed that the Bayesian network performed well in predicting habitat availability and confirmed predicted habitat preferences across the Atlantic coast breeding range of the piping plover. We used the Bayesian network to map areas with a high probability of containing nesting habitat on the Rockaway Peninsula in New York, USA, as an example application. Our approach facilitated the collation of evidence-based information on habitat selection

  11. Retinal Microvascular Network and Microcirculation Assessments in High Myopia.

    Science.gov (United States)

    Li, Min; Yang, Ye; Jiang, Hong; Gregori, Giovanni; Roisman, Luiz; Zheng, Fang; Ke, Bilian; Qu, Dongyi; Wang, Jianhua

    2017-02-01

    To investigate the changes of the retinal microvascular network and microcirculation in high myopia. A cross-sectional, matched, comparative clinical study. Twenty eyes of 20 subjects with nonpathological high myopia (28 ± 5 years of age) with a refractive error of -6.31 ± 1.23 D (mean ± SD) and 20 eyes of 20 age- and sex-matched control subjects (30 ± 6 years of age) with a refractive error of -1.40 ± 1.00 D were recruited. Optical coherence tomography angiography (OCTA) was used to image the retinal microvascular network, which was later quantified by fractal analysis (box counting [Dbox], representing vessel density) in both superficial and deep vascular plexuses. The Retinal Function Imager was used to image the retinal microvessel blood flow velocity (BFV). The BFV and microvascular density in the myopia group were corrected for ocular magnification using Bennett's formula. The density of both superficial and deep microvascular plexuses was significantly decreased in the myopia group in comparison to the controls (P  .05). Microvascular densities in both superficial (r = -0.45, P = .047) and deep (r = -0.54, P = .01) vascular plexuses were negatively correlated with the axial lengths in the myopic eye. No correlations were observed between BFV and vessel density (P > .05). Retinal microvascular decrease was observed in the high myopia subjects, whereas the retinal microvessel BFV remained unchanged. The retinal microvascular network alteration may be attributed to ocular elongation that occurs with the progression of myopia. The novel quantitative analyses of the retinal microvasculature may help to characterize the underlying pathophysiology of myopia and enable early detection and prevention of myopic retinopathy. Copyright © 2016 Elsevier Inc. All rights reserved.

  12. Energy recovery from waste incineration: assessing the importance of district heating networks.

    Science.gov (United States)

    Fruergaard, T; Christensen, T H; Astrup, T

    2010-07-01

    Municipal solid waste incineration contributes with 20% of the heat supplied to the more than 400 district heating networks in Denmark. In evaluation of the environmental consequences of this heat production, the typical approach has been to assume that other (fossil) fuels could be saved on a 1:1 basis (e.g. 1GJ of waste heat delivered substitutes for 1GJ of coal-based heat). This paper investigates consequences of waste-based heat substitution in two specific Danish district heating networks and the energy-associated interactions between the plants connected to these networks. Despite almost equal electricity and heat efficiencies at the waste incinerators connected to the two district heating networks, the energy and CO(2) accounts showed significantly different results: waste incineration in one network caused a CO(2) saving of 48 kg CO(2)/GJ energy input while in the other network a load of 43 kg CO(2)/GJ. This was caused mainly by differences in operation mode and fuel types of the other heat producing plants attached to the networks. The paper clearly indicates that simple evaluations of waste-to-energy efficiencies at the incinerator are insufficient for assessing the consequences of heat substitution in district heating network systems. The paper also shows that using national averages for heat substitution will not provide a correct answer: local conditions need to be addressed thoroughly otherwise we may fail to assess correctly the heat recovery from waste incineration. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

  13. Network design assessment for greenhouse gas observing systems using Lagrangian footprint simulations

    Science.gov (United States)

    Gerbig, C.; Pillai, D.; Kretschmer, R.; Karstens, U.; Koch, F. T.

    2011-12-01

    Deriving greenhouse gas balances at regional scales can be done via two approaches: up-scaling of local information such as from inventories for emissions and natural processes ("bottom-up"), or independently via combined atmospheric observations and inverse transport modeling ("top-down"). For the top-down approach, a dense coverage of the atmosphere with an observing network that enables a precise estimation of surface fluxes is associated with considerable costs. The European infrastructure project ICOS, (Integrated Carbon Observation System), together with Earth Networks, a US based Company, will largely increase the density of the atmospheric network within the next years. To facilitate decision-making with respect to the number and location of observing stations to be deployed, a quantitative network design tool is required that allows balancing cost and benefit. Here we assess different aspects of network design using the Stochastic Time Inverted Lagrangian Transport model. We present sensitivities of mixing ratio observations from various potential networks to surface-atmosphere exchange fluxes (footprints), and assess impact from transport model uncertainties. Footprint analysis on specific temporal and spatial scales is used to assess the ability of a given network to detect spatial and temporal patterns and trends, and to investigate the impact of different a-priori assumptions for flux distributions on the potential to retrieve fluxes at reduced uncertainty bounds.

  14. GIS UTILITY FOR HYDROLOGICAL IMPACT EVALUATION CAUSED BY DAMAGES OF WATER SUPPLY NETWORK IN RURAL AREAS. APPLICATIONS IN BAIA MARE DEPRESSION

    OpenAIRE

    RADU ALEXANDRU MARIAN; IONEL HAIDU; AUGUSTIN IONUŢ CRĂCIUN; BOGDAN VĂDUVA

    2012-01-01

    GIS utility for hydrological impact evaluation caused by damages of water supply network in rural areas. Applications in Baia Mare Depression. Occurrence of a failure within the water supply network is an element of risk with important hydrological implications. Although at first glance you might think that a pipe diameter of only 20 cm can generate large effects, however, in case of significant damage or even burst pipe, a good part of high water flow in the pipe (approx. 25 m3/h on average ...

  15. Utilizing a Global Environmental Assessment Tool to Facilitate Professional Development: The Voices of Kindergarten Teachers in Italy

    Science.gov (United States)

    Cecconi, Luciano; Stegelin, Dolores A.; Pintus, Andrea; Allegri, Rossana

    2014-01-01

    This international research project examined the value of utilizing an early childhood program assessment instrument as a tool for in-service professional development and self-reflection for kindergarten teachers in Parma, Italy. Teacher educators from universities in Italy and the USA conducted the study collaboratively. Goals of the study were…

  16. A Multimethod Assessment of Juvenile Psychopathy: Comparing the Predictive Utility of the PCL:YV, YPI, and NEO PRI

    Science.gov (United States)

    Cauffman, Elizabeth; Kimonis, Eva R.; Dmitrieva, Julia; Monahan, Kathryn C.

    2009-01-01

    The current study compares 3 distinct approaches for measuring juvenile psychopathy and their utility for predicting short- and long-term recidivism among a sample of 1,170 serious male juvenile offenders. The assessment approaches compared a clinical interview method (the Psychopathy Checklist: Youth Version [PCL:YV]; Forth, Kosson, & Hare,…

  17. Caffeine in Boston Harbor past and present, assessing its utility as a tracer of wastewater contamination in an urban estuary

    Science.gov (United States)

    Sites throughout Boston Harbor were analyzed for caffeine to assess its utility as a tracer in identifying sources of sanitary wastewater. Caffeine ranged from 15 ng/L in the outer harbor to a high of 185 ng/L in the inner harbor. Inner harbor concentrations were a result of comb...

  18. The impact of living with a functional and aesthetic nasal deformity after primary rhinoplasty: a utility outcomes score assessment.

    Science.gov (United States)

    Sinno, Hani; Izadpanah, Ali; Thibaudeau, Stephanie; Christodoulou, Georges; Tahiri, Youssef; Slavin, Sumner A; Lin, Samuel J

    2012-10-01

    Revision rhinoplasty for functional deformities can be both an aesthetic and reconstructive surgical challenge. We set out to quantify the health state utility assessment of living with the physical appearance of nasal asymmetry along with having nasal obstruction. The use of utility scores has helped to establish the health burden of living with various medical conditions. We sought to quantify living with a health state of nasal asymmetry with nasal obstruction after primary rhinoplasty using utility outcome scores. We used previously validated utility outcome measures to quantify the health burden of this clinical scenario in 128 prospective subjects. These subjects were from a sample of the population and medical students recruited to complete a survey to determine the utility outcome score of revision rhinoplasty using visual analog scale (VAS), time trade-off (TTO), and standard gamble (SG) tests to obtain utility scores for revision rhinoplasty. Linear regression and Student t test were used for statistical analysis. All measures (VAS, TTO, and SG) for functional nasal deformity (0.80±0.13, 0.90±0.12, and 0.91±0.13, respectively) of the 128 prospective subjects participating in this online study were significantly different (Peducation were not predictors of utility scores. In a sample of the population and medical students, VAS, TTO, and SG utility scores for revision rhinoplasty were determined and can be compared objectively with other health states and diseases with known utility scores. In a preoperative setting, women were objectively willing to potentially "trade" more years of life to treat a functional nasal deformity. If faced with a deformed nose after primary rhinoplasty, our sample population would consent to undergo a revision rhinoplasty procedure with a theoretical 9% chance of mortality and were willing to trade 3.6 years of their remaining life.

  19. Utility of Social Modeling for Proliferation Assessment - Enhancing a Facility-Level Model for Proliferation Resistance Assessment of a Nuclear Enegry System

    Energy Technology Data Exchange (ETDEWEB)

    Coles, Garill A.; Brothers, Alan J.; Gastelum, Zoe N.; Olson, Jarrod; Thompson, Sandra E.

    2009-10-26

    The Utility of Social Modeling for Proliferation Assessment project (PL09-UtilSocial) investigates the use of social and cultural information to improve nuclear proliferation assessments, including nonproliferation assessments, Proliferation Resistance (PR) assessments, safeguards assessments, and other related studies. These assessments often use and create technical information about a host State and its posture towards proliferation, the vulnerability of a nuclear energy system (NES) to an undesired event, and the effectiveness of safeguards. This objective of this project is to find and integrate social and technical information by explicitly considering the role of cultural, social, and behavioral factors relevant to proliferation; and to describe and demonstrate if and how social science modeling has utility in proliferation assessment. This report describes a modeling approach and how it might be used to support a location-specific assessment of the PR assessment of a particular NES. The report demonstrates the use of social modeling to enhance an existing assessment process that relies on primarily technical factors. This effort builds on a literature review and preliminary assessment performed as the first stage of the project and compiled in PNNL-18438. [ T his report describes an effort to answer questions about whether it is possible to incorporate social modeling into a PR assessment in such a way that we can determine the effects of social factors on a primarily technical assessment. This report provides: 1. background information about relevant social factors literature; 2. background information about a particular PR assessment approach relevant to this particular demonstration; 3. a discussion of social modeling undertaken to find and characterize social factors that are relevant to the PR assessment of a nuclear facility in a specific location; 4. description of an enhancement concept that integrates social factors into an existing, technically

  20. Characterization and assessment of voltage and power constraints of DFIG WT connected to a weak network

    DEFF Research Database (Denmark)

    Abulanwar, Elsayed; Hu, Weihao; Iov, Florin

    2014-01-01

    of common coupling, PCC, and maximize the wind power penetration into weak networks. As a basis of investigation, a simplified system model is utilized and the respective PCC voltage, active and reactive power stability issues are identified. Besides, a steady-state study for DFIG WT connected to a weak......This article thoroughly investigates the challenges and constraints raised by the integration of a Doubly-fed Induction generator wind turbine, DFIG WT, into an ac network of extensively varying parameters and very weak conditions. The objective is to mitigate the voltage variations at the point...

  1. Introducing Patchwork Assessment to a Social Psychology Module: The Utility of Feedback

    Science.gov (United States)

    Wesson, Caroline J.

    2013-01-01

    Patchwork text assessment offers an alternative to traditional forms of assessment that are often focused on single assessment outcomes. Embedded within patchwork text assessment is formative assessment whereby short pieces of work, or patches, are shared with staff or peers for feedback which students can reflect upon and use to amend their work…

  2. Assessing Aggressive Behavior in Forensic Psychiatric Patients: Validity and Clinical Utility of Combining Two Instruments

    NARCIS (Netherlands)

    Kobes, M.H.B.M.; Nijman, H.L.I.; Bulten, B.H.

    2012-01-01

    Objectives Accurate observation of aggressive behavior among forensic psychiatric patients requires valid instruments. This study examines the validity and clinical utility of combining the social dysfunction and aggression scale (SDAS) and staff observation aggression scale revised

  3. Functional MRI for Assessment of the Default Mode Network in Acute Brain Injury

    DEFF Research Database (Denmark)

    Kondziella, Daniel; Fisher, Patrick M.; Larsen, Vibeke Andrée

    2017-01-01

    Background: Assessment of the default mode network (DMN) using resting-state functional magnetic resonance imaging (fMRI) may improve assessment of the level of consciousness in chronic brain injury, and therefore, fMRI may also have prognostic value in acute brain injury. However, fMRI is much m...

  4. Establishing the reliability of rhesus macaque social network assessment from video observations.

    Science.gov (United States)

    Feczko, Eric; Mitchell, Thomas A J; Walum, Hasse; Brooks, Jenna M; Heitz, Thomas R; Young, Larry J; Parr, Lisa A

    2015-09-01

    Understanding the properties of a social environment is important for understanding the dynamics of social relationships. Understanding such dynamics is relevant for multiple fields, ranging from animal behaviour to social and cognitive neuroscience. To quantify social environment properties, recent studies have incorporated social network analysis. Social network analysis quantifies both the global and local properties of a social environment, such as social network efficiency and the roles played by specific individuals, respectively. Despite the plethora of studies incorporating social network analysis, methods to determine the amount of data necessary to derive reliable social networks are still being developed. Determining the amount of data necessary for a reliable network is critical for measuring changes in the social environment, for example following an experimental manipulation, and therefore may be critical for using social network analysis to statistically assess social behaviour. In this paper, we extend methods for measuring error in acquired data and for determining the amount of data necessary to generate reliable social networks. We derived social networks from a group of 10 male rhesus macaques, Macaca mulatta, for three behaviours: spatial proximity, grooming and mounting. Behaviours were coded using a video observation technique, where video cameras recorded the compound where the 10 macaques resided. We collected, coded and used 10 h of video data to construct these networks. Using the methods described here, we found in our data that 1 h of spatial proximity observations produced reliable social networks. However, this may not be true for other studies due to differences in data acquisition. Our results have broad implications for measuring and predicting the amount of error in any social network, regardless of species.

  5. Establishing the reliability of rhesus macaque social network assessment from video observations

    Science.gov (United States)

    Feczko, Eric; Mitchell, Thomas A. J.; Walum, Hasse; Brooks, Jenna M.; Heitz, Thomas R.; Young, Larry J.; Parr, Lisa A.

    2015-01-01

    Understanding the properties of a social environment is important for understanding the dynamics of social relationships. Understanding such dynamics is relevant for multiple fields, ranging from animal behaviour to social and cognitive neuroscience. To quantify social environment properties, recent studies have incorporated social network analysis. Social network analysis quantifies both the global and local properties of a social environment, such as social network efficiency and the roles played by specific individuals, respectively. Despite the plethora of studies incorporating social network analysis, methods to determine the amount of data necessary to derive reliable social networks are still being developed. Determining the amount of data necessary for a reliable network is critical for measuring changes in the social environment, for example following an experimental manipulation, and therefore may be critical for using social network analysis to statistically assess social behaviour. In this paper, we extend methods for measuring error in acquired data and for determining the amount of data necessary to generate reliable social networks. We derived social networks from a group of 10 male rhesus macaques, Macaca mulatta, for three behaviours: spatial proximity, grooming and mounting. Behaviours were coded using a video observation technique, where video cameras recorded the compound where the 10 macaques resided. We collected, coded and used 10 h of video data to construct these networks. Using the methods described here, we found in our data that 1 h of spatial proximity observations produced reliable social networks. However, this may not be true for other studies due to differences in data acquisition. Our results have broad implications for measuring and predicting the amount of error in any social network, regardless of species. PMID:26392632

  6. Assessment of laboratory test utilization for HIV/AIDS care in urban ...

    African Journals Online (AJOL)

    ART assessment and considering HIVRNA monitoring for ART response assessment, while some clinics used CD4 for both. We assessed clinical ordering practices as compared to guidelines, and determined whether the samples were ...

  7. Cyberspace Assurance Metrics: Utilizing Models of Networks, Complex Systems Theory, Multidimensional Wavelet Analysis, and Generalized Entrophy Measures

    National Research Council Canada - National Science Library

    Johnson, Joseph E; Gudkov, Vladimir

    2005-01-01

    ... as continuous group theory and Markov processes. Based upon this research he has proposed that entropy metrics, and the associated cluster analysis of the network so measured by these metrics, can be useful indicators of aberrant processes and behavior. Other team members have obtained important connections using higher order Renyi entropy metrics, and complexity theory to both monitor real networks and to study networks by simulation.

  8. Security Situation Assessment of All-Optical Network Based on Evidential Reasoning Rule

    Directory of Open Access Journals (Sweden)

    Zhong-Nan Zhao

    2016-01-01

    Full Text Available It is important to determine the security situations of the all-optical network (AON, which is more vulnerable to hacker attacks and faults than other networks in some cases. A new approach of the security situation assessment to the all-optical network is developed in this paper. In the new assessment approach, the evidential reasoning (ER rule is used to integrate various evidences of the security factors including the optical faults and the special attacks in the AON. Furthermore, a new quantification method of the security situation is also proposed. A case study of an all-optical network is conducted to demonstrate the effectiveness and the practicability of the new proposed approach.

  9. European network for health technology assessment, EUnetHTA: planning, development, and implementation of a sustainable European network for health technology assessment.

    Science.gov (United States)

    Kristensen, Finn Børlum; Mäkelä, Marjukka; Neikter, Susanna Allgurin; Rehnqvist, Nina; Håheim, Lise Lund; Mørland, Berit; Milne, Ruairidh; Nielsen, Camilla Palmhøj; Busse, Reinhard; Lee-Robin, Sun Hae; Wild, Claudia; Espallargues, Mireia; Chamova, Julia

    2009-12-01

    The European network on Health Technology Assessment (EUnetHTA) aimed to produce tangible and practical results to be used in the various phases of health technology assessment and to establish a framework and processes to support this. This article presents the background, objectives, and organization of EUnetHTA, which involved a total of sixty-four partner organizations. Establishing an effective and sustainable structure for a transnational network involved many managerial, policy, and methodological tools, according to the objective of each task or Work Package. Transparency in organization, financial transactions, and decision making was a key principle in the management of the Project as was the commitment to appropriately involve stakeholders. EUnetHTA activities resulted in a clear management and governance structure, efficient partnership, and transnational cooperation. The Project developed a model for sustainable continuation of the EUnetHTA Collaboration. The EUnetHTA Project achieved its goals by producing a suite of practical tools, a strong network, and plans for continuing the work in a sustainable EUnetHTA Collaboration that facilitates and promotes the use of HTA at national and regional levels. Responsiveness to political developments in Europe should be balanced with maintaining a high level of ambition to promote independent, evidence-based information and well-tested tools for best practice based on a strong network of HTA institutions.

  10. Life cycle assessment of carbon capture and utilization from ammonia process in Mexico.

    Science.gov (United States)

    Morales Mora, M A; Vergara, C Pretelín; Leiva, M A; Martínez Delgadillo, S A; Rosa-Domínguez, E R

    2016-12-01

    Post-combustion CO 2 capture (PCC) of flue gas from an ammonia plant (AP) and the environmental performance of the carbon capture utilization (CCU) technology for greenhouse gas (GHG) emissions to an enhanced oil recovery (EOR) system in Mexico was performed as case study. The process simulations (PS) and life cycle assessment (LCA) were used as supporting tools to quantify the CO 2 capture and their environmental impacts, respectively. Two scenarios were considered: 1) the AP with its shift and CO 2 removal unit and 2) Scenario 1 plus PCC of the flue gas from the AP primary reformer (AP-2CO 2 ) and the global warming (GW) impact. Also, the GW of the whole of a CO 2 -EOR project, from these two streams of captured CO 2 , was evaluated. Results show that 372,426 tCO 2 /year can be PCC from the flue gas of the primary reformer and 480,000 tons/y of capacity from the AP. The energy requirement for solvent regeneration is estimated to be 2.8 MJ/kgCO 2 or a GW impact of 0.22 kgCO 2e /kgCO 2 captured. GW performances are 297.6 kgCO 2e emitted/barrel (bbl) for scenario one, and 106.5 kgCO 2e emitted/bbl for the second. The net emissions, in scenario one, were 0.52 tCO 2e /bbl and 0.33 tCO 2e /bbl in scenario two. Based on PS, this study could be used to evaluate the potential of CO 2 capture of 4080 t/d of 4 ammonia plants. The integration of PS-LCA to a PCC study allows the applicability as methodological framework for the development of a cluster of projects in which of CO 2 could be recycled back to fuel, chemical, petrochemical products or for enhanced oil recovery (EOR). With AP-2CO 2, "CO 2 emission free" ammonia production could be achieved. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. Optimization of the telecommunication network of a gas utility; Optimisation d'un reseau de telecommunications d'un operateur gazier

    Energy Technology Data Exchange (ETDEWEB)

    Vinas, Ch.; Abadie, J. [GSO, Gaz Sud-Ouest, 64 - Pau (France)

    2001-07-01

    The information system of Gaz du Sud-Ouest (GSO) utility, which includes the real time systems for the exploitation of the gas transport and distribution system and its management, is based on heterogenous and separated telecommunication infrastructures. A project has been started which aims at optimizing the architecture of this communication network taking into consideration the technical aspects but also the security and costs constraints. (J.S.)

  12. Performance Evaluation of FIR Filter After Implementation on Different FPGA and SOC and Its Utilization in Communication and Network

    DEFF Research Database (Denmark)

    Pandey, Bishwajeet; Das, Bhagwan; Kaur, Amanpreet

    2017-01-01

    There are many areas of communication and network, which have open scope to use FIR filter. Therefore, energy efficient FIR filter will increase lifetime of network and FIR filter with less delay and latency will increase performance of network. In this work, we are going to design an FIR filter ...... provide by Xilinx. We transform that C code into HDL using Vivado HLS 2016.2 before power analysis on Vivado 2016.2. Ultrascale FPGA is generally used for packet processing in 100G networking and heterogeneous wireless infrastructure....

  13. The Relationship between Sexual Minority Verbal Harassment And Utilization of Health Services: Results from Countywide Risk Assessment Survey (CRAS) 2004

    Science.gov (United States)

    Hoyt D’Anna, Laura; Nguyen, Hannah-Hanh D.; Reynolds, Grace L.; Fisher, Dennis G.; Janson, Michael; Chen, Cristy; Malotte, C. Kevin

    2012-01-01

    We examined the prevalence of and associations between sexual orientation-based verbal harassment and reported utilization of health services across levels of sexual orientation in a diverse sample of adult recipients of Los Angeles County-funded HIV-related health and social services. Thirty-two percent reported they had experienced verbal harassment, the majority (80.3%) of whom identified as lesbian, gay, orbisexual. Those who reported being verbally harassed received significantly more services overall than those who were not verbally harassed, and service utilization varied by sexual orientation. These findings inform future efforts to identify and assess social discrimination in health and social service settings. PMID:23044662

  14. Seismic Vulnerability Assessment of Lifeline Networks Using Vulnerability Factor : In Application to Water Distribution Lines

    OpenAIRE

    能島, 暢呂; Nobuoto, NOJIMA; 岐阜大学工学部社会基盤工学科; Department of Civil Engineering, Gifu University

    2008-01-01

    A simple index is proposed for seismic vulnerability assessment of lifeline network facilities. The proposed index, "V-factor," is evaluated using the correction factors representing relative vulnerability corresponding to a variety of pipe diameters, pipe materials, and joint types in statistical models used widely for estimation of number of pipe breaks in the event of earthquakes. Such correction factors are averaged over the entire networks on the basis of extended length of pipelines cla...

  15. Network Capacity Assessment of CHP-based Distributed Generation on Urban Energy Distribution Networks

    Science.gov (United States)

    Zhang, Xianjun

    The combined heat and power (CHP)-based distributed generation (DG) or dis-tributed energy resources (DERs) are mature options available in the present energy market, considered to be an effective solution to promote energy efficiency. In the urban environment, the electricity, water and natural gas distribution networks are becoming increasingly interconnected with the growing penetration of the CHP-based DG. Subsequently, this emerging interdependence leads to new topics meriting serious consideration: how much of the CHP-based DG can be accommodated and where to locate these DERs, and given preexisting constraints, how to quantify the mutual impacts on operation performances between these urban energy distribution networks and the CHP-based DG. The early research work was conducted to investigate the feasibility and design methods for one residential microgrid system based on existing electricity, water and gas infrastructures of a residential community, mainly focusing on the economic planning. However, this proposed design method cannot determine the optimal DG sizing and siting for a larger test bed with the given information of energy infrastructures. In this context, a more systematic as well as generalized approach should be developed to solve these problems. In the later study, the model architecture that integrates urban electricity, water and gas distribution networks, and the CHP-based DG system was developed. The proposed approach addressed the challenge of identifying the optimal sizing and siting of the CHP-based DG on these urban energy networks and the mutual impacts on operation performances were also quantified. For this study, the overall objective is to maximize the electrical output and recovered thermal output of the CHP-based DG units. The electricity, gas, and water system models were developed individually and coupled by the developed CHP-based DG system model. The resultant integrated system model is used to constrain the DG's electrical

  16. Neural network and principal component regression in non-destructive soluble solids content assessment: a comparison*

    OpenAIRE

    Chia, Kim-seng; Herlina ABDUL RAHIM; Ruzairi ABDUL RAHIM

    2012-01-01

    Visible and near infrared spectroscopy is a non-destructive, green, and rapid technology that can be utilized to estimate the components of interest without conditioning it, as compared with classical analytical methods. The objective of this paper is to compare the performance of artificial neural network (ANN) (a nonlinear model) and principal component regression (PCR) (a linear model) based on visible and shortwave near infrared (VIS-SWNIR) (400–1000 nm) spectra in the non-destructive sol...

  17. ASSESSMENT OF LIBRARY USERS’ FEEDBACK USING MODIFIED MULTILAYER PERCEPTRON NEURAL NETWORKS

    Directory of Open Access Journals (Sweden)

    K G Nandha Kumar

    2017-07-01

    Full Text Available An attempt has been made to evaluate the feedbacks of library users of four different libraries by using neural network based data mining techniques. This paper presents the results of a survey of users’ satisfactory level on four different libraries. The survey has been conducted among the users of four libraries of educational institutions of Kovai Medical Center Research and Educational Trust. Data were collected through questionnaires. Artificial neural network based data mining techniques are proposed and applied to assess the libraries in terms of level of satisfaction of users. In order to assess the users’ satisfaction level, two neural network techniques: Modified Multilayer Perceptron Network-Supervised and Modified Multilayer Perceptron Network-Unsupervised are proposed. The proposed techniques are compared with the conventional classification algorithm Multilayer Perceptron Neural Network and found better in overall performance. It is found that the quality of service provided by the libraries is highly good and users are highly satisfied with various aspects of library service. The Arts and Science College Library secured the maximum percent in terms of user satisfaction. This shows that the users’ satisfaction of ASCL is better than the other libraries. This study provides an insight into the actual quality and satisfactory level of users of libraries after proper assessment. It is strongly expected that the results will help library authorities to enhance services and quality in the near future.

  18. An Analysis of the Differences between Student Age and Social Networking Utilization within a School of Business

    Science.gov (United States)

    Zula, Ken; Yarrish, Karen K.; Pawelzik, Walter

    2011-01-01

    Social networking sites such as Facebook, LinkedIn, and Twitter are widely regarded as an exciting opportunity to communicate with friends, especially for college students. The overall response to social networking tends to be one of trust regarding a generation that, supposedly has many friends but little sense of privacy. Employers use social…

  19. Utilizing Social Networks in Times of Crisis: Understanding, Exploring and Analyzing Critical Incident Management at Institutions of Higher Education

    Science.gov (United States)

    Asselin, Martha Jo

    2012-01-01

    With the rising number of major crises on college campuses today (Security on Campus Inc., 2009), institutions of higher education can benefit from understanding of how social networks may be used in times of emergency. What is currently known about the usage of social networks is not integral to the current practices of crisis management that are…

  20. Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses

    Science.gov (United States)

    Dinov, Ivo D.; Sanchez, Juana; Christou, Nicolas

    2008-01-01

    Technology-based instruction represents a new recent pedagogical paradigm that is rooted in the realization that new generations are much more comfortable with, and excited about, new technologies. The rapid technological advancement over the past decade has fueled an enormous demand for the integration of modern networking, informational and…

  1. One-dimensional Arterial Network Model for Bypass Grafts Assessment

    CERN Document Server

    Ghigo, Arthur; Wang, Xiaofei; Lagrée, Pierre-Yves; Fullana, Jose-Maria

    2016-01-01

    We propose an arterial network model based on 1D blood hemodynamic equations to study the behavior of different vascular surgical bypass grafts in case of an arterial occlusive pathology: an obliteration or stenosis of the iliac artery. We investigate the performances of three different bypass grafts (Aorto-Femoral, Axillo-Femoral and cross-over Femoral) depending on the degree of obliteration of the stenosis. Numerical simulations show that all bypass grafts are efficient since we retrieve in all cases the normal hemodynamics in the stenosed region while ensuring at the same time a global healthy circulation. We analyze in particular the Axillo-Femoral bypass graft by performing hundreds of simulations by varying the values of the Young's modulus [0.1--50 MPa] and the radius [0.01--5 cm] of the bypass graft. We show that the Young's modulus and radius of commercial bypass grafts are optimal in terms of hemodynamic considerations. The numerical findings prove that this approach could be used to optimize or pl...

  2. Assessment of Nutrition Information System Using Health Metrics Network Framework

    Directory of Open Access Journals (Sweden)

    Mochamad Iqbal Nurmansyah

    2015-08-01

    Sistem informasi gizi (Sigizi dikembangkan oleh Direktorat Bina Gizi Kementerian Kesehatan sejak 2011. Data Sigizi mencakup data penimbangan balita di posyandu, kasus gizi buruk, cakupan pemberian tablet Fe pada ibu hamil, konsumsi garam beryodium, pemberian vitamin A, dan ASI eksklusif. Penelitian ini bertujuan untuk mengukur kinerja pengelolaan Sigizi di Dinas Kesehatan Kota Tangerang Selatan menggunakan kerangka Health Metrics Network yang dikeluarkan oleh WHO tahun 2008. Sigizi merupakan sistem informasi yang diaplikasikan pada tingkat nasional dengan mekanisme pelaporan berjenjang, dari 508 kabupaten/kota menuju 34 provinsi dan bermuara di tingkat nasional. Di Provinsi Banten, terdapat delapan kabupaten/kota yang menjalankan Sigizi. Informan penelitian berjumlah enam orang, yaitu seksi gizi, seksi sumber daya kesehatan dan sistem informasi kesehatan, dua tenaga pelaksana gizi, dan dua kader posyandu. Pengumpulan data dilakukan Januari – April 2013 menggunakan pedoman wawancara, observasi, dan telaah dokumen. Analisis interpretasi digunakan dalam menganalisis data. Hasil penelitian menunjukan belum ada kebijakan serta pelatihan mengenai pengawasan gizi. Kegiatan pemantauan telah dilakukan. Sarana dinilai cukup, namun terdapat kekurangan dalam upaya perawatannya. Terdapat enam indikator dalam pembinaan gizi yang mengacu pada MDGs. Terdapat pengelompokan dan kamus data. Pelaporan data dilakukan setiap bulan. Grafik dan peta digunakan untuk menyajikan data. Data yang tersedia digunakan untuk pemonitoran dan pengambilan keputusan dalam kegiatan pembinaan gizi, baik di tingkat posyandu, puskesmas maupun dinkes. Secara umum, pelaksanaan Sigizi di Dinas Kesehatan Kota Tangerang Selatan telah memadai.

  3. Empirical Assessment of Shareholder Incentive Mechanisms Designs under Aggressive Savings Goals: Case Study of a Kansas"Super-Utility"

    Energy Technology Data Exchange (ETDEWEB)

    Cappers, Peter; Goldman, Charles

    2009-08-03

    Achieving significant reductions in retail electric sales is becoming a priority for policymakers in many states and is echoed at the federal level with the introduction of legislation to establish a national energy efficiency resource standard. Yet, as the National Action Plan on Energy Efficiency (NAPEE) pointed out, many utilities continue to shy away from seriously expanding their energy efficiency program offerings because they claim there is insufficient profit motivation, or even a financial disincentive, when compared to supply-side investments. In response to an information request from the Kansas Corporation Commission staff, we conducted a financial analysis to assess the utility business case in Kansas for pursuing more aggressive energy efficiency that complies with recent state legislation. Kansas' utilities are vertically integrated and don't face retail competition. With historically low retail rates and modest experience with energy efficiency, the achievement of rapid and substantial sales reductions from energy efficiency will require a viable utility business model. Using a conglomerate of the three largest utilities in Kansas, we quantitatively illustrate the tradeoff between ratepayer and shareholder interests when a 1percent reduction in incremental sales is achieved through energy efficiency both with and without the impact of future carbon regulation. We then assess if the utility can be compensated in a manner that produces a sufficient business case but leaves an adequate amount of net resource benefits for ratepayers at a cost that is not overly burdensome. Finally, we show how several common shareholder incentive mechanisms would be designed to achieve this balance.

  4. Risk Assessment and Management in the Networked Economy

    CERN Document Server

    Hussain, Omar K; Hussain, Farookh K; Chang, Elizabeth J

    2013-01-01

    Risk and reward are always foremost in the determination of investment decisions and business transactions. Advances in the area of Information Communication Technologies (ICT) have enabled the development of new business paradigms. Such paradigms involve transactions taking place between loosely connected parties, often totally or partially unknown to one another. One important concept required to ensure such transactions are successful is transactional risk. The importance of doing this has been demonstrated in recent financial crisis. This book is unique in simultaneously taking into account the likelihood of an event occurring and its financial impact and provides an integrated discussion of the process of transactional risk identification, assessment, evaluation, management and recording in these emerging domains. It provides a detailed and clear exposition of the importance of transactional risk before detailing for its assessment and evaluation.   The scope of the book is theoretical and practical and...

  5. Cyber security risk assessment for SCADA and DCS networks.

    Science.gov (United States)

    Ralston, P A S; Graham, J H; Hieb, J L

    2007-10-01

    The growing dependence of critical infrastructures and industrial automation on interconnected physical and cyber-based control systems has resulted in a growing and previously unforeseen cyber security threat to supervisory control and data acquisition (SCADA) and distributed control systems (DCSs). It is critical that engineers and managers understand these issues and know how to locate the information they need. This paper provides a broad overview of cyber security and risk assessment for SCADA and DCS, introduces the main industry organizations and government groups working in this area, and gives a comprehensive review of the literature to date. Major concepts related to the risk assessment methods are introduced with references cited for more detail. Included are risk assessment methods such as HHM, IIM, and RFRM which have been applied successfully to SCADA systems with many interdependencies and have highlighted the need for quantifiable metrics. Presented in broad terms is probability risk analysis (PRA) which includes methods such as FTA, ETA, and FEMA. The paper concludes with a general discussion of two recent methods (one based on compromise graphs and one on augmented vulnerability trees) that quantitatively determine the probability of an attack, the impact of the attack, and the reduction in risk associated with a particular countermeasure.

  6. Utilizing GIS to Assess the Impact of Urbanization on Timberland Availibility in Southeastern Louisiana

    Science.gov (United States)

    Donald G. Hodges; James T. Gunter; Christopher M. Swalm; James L. Regens

    1998-01-01

    This study illustrates how remotely-sensed data and GIS can be utilized to allow planners to evaluate the relationship between land use, environmental protection policies, and resource availability. The case study examines St. Tammany Parish in Louisiana which has experienced tremendous population growth and land use change in the past two decades. To date, work has...

  7. Neurobiological studies of risk assessment: a comparison of expected utility and mean-variance approaches.

    Science.gov (United States)

    D'Acremont, Mathieu; Bossaerts, Peter

    2008-12-01

    When modeling valuation under uncertainty, economists generally prefer expected utility because it has an axiomatic foundation, meaning that the resulting choices will satisfy a number of rationality requirements. In expected utility theory, values are computed by multiplying probabilities of each possible state of nature by the payoff in that state and summing the results. The drawback of this approach is that all state probabilities need to be dealt with separately, which becomes extremely cumbersome when it comes to learning. Finance academics and professionals, however, prefer to value risky prospects in terms of a trade-off between expected reward and risk, where the latter is usually measured in terms of reward variance. This mean-variance approach is fast and simple and greatly facilitates learning, but it impedes assigning values to new gambles on the basis of those of known ones. To date, it is unclear whether the human brain computes values in accordance with expected utility theory or with mean-variance analysis. In this article, we discuss the theoretical and empirical arguments that favor one or the other theory. We also propose a new experimental paradigm that could determine whether the human brain follows the expected utility or the mean-variance approach. Behavioral results of implementation of the paradigm are discussed.

  8. Assessing utilities by means of conjoint measurement: an application in medical decision analysis

    NARCIS (Netherlands)

    Maas, A.; Stalpers, L.

    1992-01-01

    A method is presented for helping patients who have laryngeal cancer to decide between laryngectomy and radiotherapy in cases where these treatments are deemed medically equivalent. The method is based on the model of additive conjoint measurement. The treatment with the higher utility is determined

  9. Assessing the utility of diagnostic criteria: a multi-site study on gender identity disorder

    NARCIS (Netherlands)

    Paap, Muirne; Kreukels, Baudewijntje P.C.; Cohen-Kettenis, Peggy; Richter-Appelt, Hertha; De Cuypere, Griet; Haraldsen, Ira R.

    2011-01-01

    Introduction: Studies involving patients with gender identity disorder (GID) are inconsistent with regard to outcomes and often difficult to compare because of the vague descriptions of the diagnostic process. A multisite study is needed to scrutinize the utility and generality of different aspects

  10. An Assessment of the Availability and Utilization of Toilet Facilities at ...

    African Journals Online (AJOL)

    Factors such as accessibility, education, culture and socio-economy have strong influence on toilet availability and utilization in Alanamu. Recommendations were made in order to improve latrine conditions and excreta disposal generally. There is also an urgent need for further research, particularly, KAP survey of people ...

  11. Research to Establish the Validity, Reliability, and Clinical Utility of a Comprehensive Language Assessment of Mandarin

    Science.gov (United States)

    Liu, Xueman Lucy; de Villiers, Jill; Ning, Chunyan; Rolfhus, Eric; Hutchings, Teresa; Lee, Wendy; Jiang, Fan; Zhang, Yi Wen

    2017-01-01

    Purpose: With no existing gold standard for comparison, challenges arise for establishing the validity of a new standardized Mandarin language assessment normed in mainland China. Method: A new assessment, Diagnostic Receptive and Expressive Assessment of Mandarin (DREAM), was normed with a stratified sample of 969 children ages 2;6 (years;months)…

  12. Road Network Assessment inTrans-Amadi, Port Harcourt in Nigeria Using GIS

    OpenAIRE

    Andrew Adesola Obafemi; Olatunde Sunday Eludoyin; Dozie Richard Opara

    2011-01-01

    This study assessed the road network system of Trans-Amadi industrial layout using a Geographic Information System (GIS). Topographical map of scale 1:100000 and Google Earth, 2010 version were the sources for the acquisition of the data. A reconnaissance survey of the area was also done to assess the present situation and state of the road network. Both the topographical map and the imagery were geo-rectified in ArcGIS 9.2 and geographic data on roads and road junction were captured. Road ju...

  13. Facilitating Phenological Assessments at Local, Regional and National Scales: Year Two Progress of the USA National Phenology Network

    Science.gov (United States)

    Weltzin, J. F.

    2009-12-01

    Patterns of phenology for plants and animals control ecosystem processes, determine land surface properties, control biosphere-atmosphere interactions, and affect food production, health, conservation, and recreation. Although directional climate change has already caused documented shifts in organismal, population, community and ecosystem-level patterns and processes, a national phenological assessment requires a comprehensive suite of standardized methodologies to track phenology across a range of spatial and temporal scales (e.g., organismal to landscapes). The USA National Phenology Network (USA-NPN; www.usanpn.org) is an emerging and exciting partnership between federal agencies, the academic community, and the general public to establish a national science and monitoring initiative focused on phenology as a tool to understand how plants, animals and landscapes respond to climate variation, and as a tool to facilitate human adaptation to ongoing and potential future climate change. USA-NPN will (1) integrate with other formal and informal science observation networks (e.g., NEON, LTER, Ameriflux, NPS I & M, OBFS, GEO, public gardens, conservation groups) including regional phenology networks; (2) utilize and enhance remote sensing products, emerging technologies and data management capabilities; and (3) capitalize on myriad educational opportunities and a new readiness of the public to participate in investigations of nature on a national scale. In its second year of operation, USA-NPN produced many new phenology products and venues for phenology research and citizen involvement that will facilitate local, regional or national assessments of phenology. A new web-page contains an advanced on-line user interface to facilitate entry of contemporary data into the National Phenology Database. The new plant phenology monitoring program provides standardized methodologies and monitoring protocols for 215 local, regional, and nationally distributed plant species

  14. Impact of standardized clinical assessment and management plans on resource utilization and costs in children after the arterial switch operation.

    Science.gov (United States)

    Rathod, Rahul H; Jurgen, Brittney; Hamershock, Rose A; Friedman, Kevin G; Marshall, Audrey C; Samnaliev, Mihail; Graham, Dionne A; Jenkins, Kathy; Lock, James E; Powell, Andrew J

    2017-12-01

    Standardized Clinical Assessment and Management Plans (SCAMPs) are a quality improvement initiative designed to reduce unnecessary utilization, decrease practice variation, and improve patient outcomes. We created a novel methodology, the SCAMP managed episode of care (SMEOC), which encompasses multiple encounters to assess the impact of the arterial switch operation (ASO) SCAMP on total costs. All ASO SCAMP patients (dates March 2009 to July 2015) were compared to a control group of ASO patients (January 2001 to February 2009). Patients were divided into "younger" (total reduction in costs. In the older subgroup, the SCAMP had a 21% reduction in outpatient clinic visits (P total reduction in costs. The total cost savings of the ASO SCAMP was $216 649 in the first 6 years of the SCAMP. There was no difference in clinical outcomes between the historical and SCAMP cohorts. SCAMPs can improve resource utilization and reduce costs after the ASO operation while maintaining quality of care. © 2017 Wiley Periodicals, Inc.

  15. A Method for Assessing Quality of Service in Broadband Networks

    DEFF Research Database (Denmark)

    Bujlow, Tomasz; Riaz, M. Tahir; Pedersen, Jens Myrup

    2012-01-01

    Monitoring of Quality of Service (QoS) in high-speed Internet infrastructure is a challenging task. However, precise assessments must take into account the fact that the requirements for the given quality level are service-dependent. Backbone QoS monitoring and analysis requires processing of large...... and provide C5.0 high-quality training data, divided into groups corresponding to different types of applications. It was found that currently existing means of collecting data (classification by ports, Deep Packet Inspection, statistical classification, public data sources) are not sufficient and they do...

  16. European EADV network on assessment of severity and burden of Pruritus (PruNet): first meeting on outcome tools.

    Science.gov (United States)

    Ständer, S; Zeidler, C; Riepe, C; Steinke, S; Fritz, F; Bruland, P; Soto-Rey, I; Storck, M; Agner, T; Augustin, M; Blome, C; Dalgard, F; Evers, A W M; Garcovich, S; Gonçalo, M; Lambert, J; Legat, F J; Leslie, T; Misery, L; Raap, U; Reich, A; Şavk, E; Streit, M; Serra-Baldrich, E; Szepietowski, J; Wallengren, J; Weisshaar, E; Dugas, M

    2016-07-01

    Chronic pruritus is a frequently occurring symptom of various dermatoses that causes a high burden and impaired quality of life. An effective anti pruritic therapy is important for the patient, but its effectiveness is difficult to evaluate. Diverse methods and interpretations of pruritic metrics are utilized in clinical trials and the daily clinical practice in different countries, resulting in difficulties comparing collected data. We founded a European Network on Assessment of Severity and Burden of Pruritus (PruNet) that is supported by the EADV. PruNet consists of 28 experts from 15 EU countries (21 dermatologists, 5 medical informaticists, 2 psychologists) and aims to unify the assessment of itch in routine dermatological care. Following a preliminary survey, a consensus conference was held in order to agree upon the prioritization of patient-reported outcome tools. Through utilizing the Delphi method, it was agreed that tools for measuring itch intensity (ex. the visual analogue scale) and quality of life (ex. ItchyQoL) are of primary importance and should urgently be foremost validated. The validation and harmonization of standards are needed for the improvement of quality care for patients suffering from pruritic dermatoses. This summer, the first validation studies in several EADV member countries already began. © 2015 European Academy of Dermatology and Venereology.

  17. Natural Gas Value-Chain and Network Assessments

    Energy Technology Data Exchange (ETDEWEB)

    Kobos, Peter H. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Outkin, Alexander V. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Beyeler, Walter E. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Walker, LaTonya Nicole [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Malczynski, Leonard A. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Myerly, Melissa M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Vargas, Vanessa N. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Tenney, Craig M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Borns, David J. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-09-01

    The current expansion of natural gas (NG) development in the United States requires an understanding of how this change will affect the natural gas industry, downstream consumers, and economic growth in order to promote effective planning and policy development. The impact of this expansion may propagate through the NG system and US economy via changes in manufacturing, electric power generation, transportation, commerce, and increased exports of liquefied natural gas. We conceptualize this problem as supply shock propagation that pushes the NG system and the economy away from its current state of infrastructure development and level of natural gas use. To illustrate this, the project developed two core modeling approaches. The first is an Agent-Based Modeling (ABM) approach which addresses shock propagation throughout the existing natural gas distribution system. The second approach uses a System Dynamics-based model to illustrate the feedback mechanisms related to finding new supplies of natural gas - notably shale gas - and how those mechanisms affect exploration investments in the natural gas market with respect to proven reserves. The ABM illustrates several stylized scenarios of large liquefied natural gas (LNG) exports from the U.S. The ABM preliminary results demonstrate that such scenario is likely to have substantial effects on NG prices and on pipeline capacity utilization. Our preliminary results indicate that the price of natural gas in the U.S. may rise by about 50% when the LNG exports represent 15% of the system-wide demand. The main findings of the System Dynamics model indicate that proven reserves for coalbed methane, conventional gas and now shale gas can be adequately modeled based on a combination of geologic, economic and technology-based variables. A base case scenario matches historical proven reserves data for these three types of natural gas. An environmental scenario, based on implementing a $50/tonne CO 2 tax results in less proven

  18. Cyberspace Assurance Metrics: Utilizing Models of Networks, Complex Systems Theory, Multidimensional Wavelet Analysis, and Generalized Entrophy Measures

    National Research Council Canada - National Science Library

    Johnson, Joseph E; Gudkov, Vladimir

    2005-01-01

    .... The PI, under the funding of this grant, has discovered a strong connection between the topological specification of a network in the form of a connection matrix and the branches of mathematics known...

  19. Vulnerability assessment in social networks under cascade-based node departures

    Science.gov (United States)

    Malliaros, Fragkiskos D.; Vazirgiannis, Michalis

    2015-06-01

    In social networks, new users decide to become members, but also current users depart from the network or stop being active in the activities of their community. The departure of a user may affect the engagement of its neighbors in the graph, that successively may also decide to leave, leading to a disengagement epidemic. We propose a model to capture this cascading effect, based on recent studies about the engagement dynamics of social networks. We introduce a new concept of vulnerability assessment under cascades triggered by the departure of nodes based on their engagement level. Our results indicate that social networks are robust under cascades triggered by randomly selected nodes but highly vulnerable in cascades caused by targeted departures of nodes with high engagement level.

  20. Advanced reactor design study. Assessing nonbackfittable concepts for improving uranium utilization in light water reactors

    Energy Technology Data Exchange (ETDEWEB)

    Fleischman, R.M.; Goldsmith, S.; Newman, D.F.; Trapp, T.J.; Spinrad, B.I.

    1981-09-01

    The objective of the Advanced Reactor Design Study (ARDS) is to identify and evaluate nonbackfittable concepts for improving uranium utilization in light water reactors (LWRs). The results of this study provide a basis for selecting and demonstrating specific nonbackfittable concepts that have good potential for implementation. Lead responsibility for managing the study was assigned to the Pacific Northwest Laboratory (PNL). Nonbackfittable concepts for improving uranium utilization in LWRs on the once-through fuel cycle were selected separately for PWRs and BWRs due to basic differences in the way specific concepts apply to those plants. Nonbackfittable concepts are those that are too costly to incorporate in existing plants, and thus, could only be economically incorporated in new reactor designs or plants in very early stages of construction. Essential results of the Advanced Reactor Design Study are summarized.

  1. El Centro Geothermal Utility Core Field Experiment environmental-impact report and environmental assessment

    Energy Technology Data Exchange (ETDEWEB)

    1979-08-01

    The City of El Centro is proposing the development of a geothermal energy utility core field experiment to demonstrate the engineering and economic feasibility of utilizing moderate temperature geothermal heat, on a pilot scale, for space cooling, space heating, and domestic hot water. The proposed facility is located on part of a 2.48 acre (1 hectare) parcel owned in fee by the City in the southeastern sector of El Centro in Imperial County, California. Geothermal fluid at an anticipated temperature of about 250/sup 0/F (121/sup 0/C) will heat a secondary fluid (water) which will be utilized directly or processed through an absorption chiller, to provide space conditioning and water heating for the El Centro Community Center, a public recreational facility located approximately one-half mile north of the proposed well site. The geothermal production well will be drilled to 8500 feet (2590m) and an injection well to 4000 feet (1220m) at the industrially designated City property. Once all relevant permits are obtained it is estimated that site preparation, facility construction, the completion and testing of both wells would be finished in approximately 26 weeks. The environmental impacts are described.

  2. A 3-year assessment of the effects of a self-administered health risk assessment on health care utilization, costs, and health risks.

    Science.gov (United States)

    Sieck, Cynthia J; Dembe, Allard E

    2014-12-01

    This study examines the effect of taking a health risk assessment (HRA) on health care costs, utilization, and member health risks over a 3-year period. This retrospective cohort study examined changes utilization, costs, and health risks among a random sample of 500 employees completing an HRA compared with a matched group of 500 employees who did not complete an HRA. The HRA group accessed services more frequently and at a lower overall cost, was more likely to utilize primary care and preventive services after the HRA, and improved on seven out of eight health risk measures. This study demonstrates that significant and sustained improvement in health risks and lower health care costs may be achievable with efforts such as an HRA that seeks to engage employees in health improvement efforts.

  3. Study To Assess Utilization of Antenatal and Intranatal Services Amongst Women in an Urban Slum of Mumbai

    Directory of Open Access Journals (Sweden)

    Saurabh RamBihariLal Shrivastava

    2013-04-01

    Full Text Available BACKGROUND: This study aimed to assess the utilization of antenatal & intra-natal services by antenatal women and the socio-demographic factors affecting the utilization. METHODS: A cross sectional descriptive study was conducted in urban slum from July to September 2011. Study population comprised of women who had delivered in last one year preceding study, irrespective of place and outcome of delivery. Only women who were residing at current address for at least 1 year were included. Women not consenting and pregnant women were excluded. All such women were interviewed face to face after obtaining their informed consent using pre tested semi-structured questionnaire which included details of their antenatal care (ANC and intra-natal services availed. Hospital Management Information System (HMIS and Systems, Applications and Products (SAP software were used for obtaining information regarding antenatal and intra-natal care. RESULTS: Antenatal services were utilized by 158(77.8% of study participants. 161(79.3% subjects had institutional delivery and 42(20.7% home delivery, out of which, only 3(7.1% subjects had an assisted home delivery. Low education status and poor socio-economic class had a significant association (P < 0.05 with utilization of ANC services. CONCLUSION: Public sector was the major source of utilization of antenatal care services and intra natal services in 62.7% subjects and 78% subjects respectively. It is suggested that low-income, uneducated women should be targeted for promotion of utilization of antenatal and intra-natal services. [TAF Prev Med Bull 2013; 12(2.000: 157-164

  4. [Assessment model of townlet eco-environmental quality based on BP-artificial neural network].

    Science.gov (United States)

    Li, Li; Zhang, Hai-tao

    2008-12-01

    Aiming at the problems in the townlet eco-environmental quality assessment in China, a comprehensive assessment model of townlet ecological environmental quality based on BP-artificial neural network was set up, which contained 20 cryptic layer nodes and 3 layers. The rank classification criterion of eco-environmental quality's assessment indicator system were chosen as the training sample of the model, the 10% of training sample as well as the middle and critical values were regarded as examining sample, and the monitoring values of assessment region were treated as test sample. Choosing the Dushan Town in Ezhou City as an example, the training and prediction were made by using MATLAB software. The results showed that BP-artificial neural network was not only feasible and dependable, but also couldprovide acceptable results in accord with the regional realistic eco-environmental feature.

  5. FY1998 report on a survey related to joint utilization of welfare device development data using an international network; 1998 nendo kokusai network ni yoru fukushi kiki kaihatsu data no kyodo riyo ni kansuru chosa hokokusho

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    A survey was made in relation with joint utilization of welfare device development data using an international network. Developing welfare devices requires data from ergonomic and medical systems, while the cope of the objects is wide, and the kinds are various. For proliferation of welfare devices, system compatibility evaluation including that on using environment is important, including living environments that are different by countries. The present survey has identified how data for aged, handicapped and help-needing persons are accumulated and utilized in research organizations in America and Europe for both of the ergonomic and medical areas. The survey also investigated major academic societies in overseas countries, and collected database and academic network information that support the advanced research and development. At the same time, investigations were also made on organizations and corporations who are moving forward the efficient data utilization. Welfare device and service information providing systems in Japan were investigated to compare them with the trends in other countries. Conceptions and methods were compiled to utilize data internationally and jointly. Database models for device development were considered, and a proposal was made on structuring a research and development supporting database, and the operation method thereof. (NEDO)

  6. Determining transition readiness in congenital heart disease: Assessing the utility of the Transition Readiness Questionnaire

    Science.gov (United States)

    The Transition Readiness Assessment Questionnaire (TRAQ) is a tool commonly used to assess transition readiness in adolescents with chronic diseases. It was previously validated in youth with special health care needs (YSHCN), but no patients with congenital heart disease (CHD) were included in the ...

  7. The Utility of Risk Assessment Instruments for the Prediction of Recidivism in Sexual Homicide Perpetrators

    Science.gov (United States)

    Hill, Andreas; Rettenberger, Martin; Habermann, Niels; Berner, Wolfgang; Eher, Reinhard; Briken, Peer

    2012-01-01

    To examine the predictive accuracy of four well established risk assessment instruments (PCL-R, HCR-20, SVR-20, and Static-99) in an important subgroup of sexual offenders, these instruments were assessed retrospectively based on information from forensic psychiatric court reports in a sample of 90 released male sexual homicide offenders (out of…

  8. Utilizing a novel tool for the comprehensive assessment of resident operative performance.

    Science.gov (United States)

    Glarner, Carly E; McDonald, Robert J; Smith, Amy B; Leverson, Glen E; Peyre, Sarah; Pugh, Carla M; Greenberg, Caprice C; Greenberg, Jacob A; Foley, Eugene F

    2013-01-01

    A mechanism for more effective and comprehensive assessment of surgical residents' performance in the operating room (OR) is needed, especially in light of the new requirements issued by the American Board of Surgery. Furthermore, there is an increased awareness that assessments need to be more meaningful by including not only procedure-specific and general technical skills, but also nontechnical skills (NOTECHS), such as teamwork and communication skills. Our aims were to develop a methodology and create a tool that comprehensively assesses residents' operative performance. A procedure-specific technical skill assessment for laparoscopic colon resections was created through use of task analysis. Components of previously validated tools were added to broaden the assessment to include general technical skills and NOTECHS. Our instrument was then piloted in the OR to measure face and content validity through an iterative process with faculty evaluators. Once the tool was finalized, postgraduate 3 (PG3) and PG5 residents on a 2-month long rotation were assessed by 1 of 4 colorectal surgeons immediately after completing a case together. Construct validity was measured by evaluating the difference in scores between PG3 and PG5 residents' performance as well as the change in scores over the course of the rotation. Sixty-three assessments were performed. All evaluations were completed within 48 hours of the operation. There was a statistically significant difference between the PG3 and PG5 scores on procedure-specific performance, general technical skills, NOTECHS, and overall performance. Over the course of the rotation, a statistically significant improvement was found in residents' scores on the procedure-specific portion of the assessment but not on the general surgical skills or NOTECHS. This is a feasible, valid, and reliable assessment tool for the comprehensive evaluation of resident performance in the OR. We plan to use this tool to assess resident operative

  9. Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment

    NARCIS (Netherlands)

    Marvin, Hans J.P.; Bouzembrak, Yamine; Janssen, Esmée M.; Zande, van der Meike; Murphy, Finbarr; Sheehan, Barry; Mullins, Martin; Bouwmeester, Hans

    2017-01-01

    In this study, a Bayesian Network (BN) was developed for the prediction of the hazard potential and biological effects with the focus on metal- and metal-oxide nanomaterials to support human health risk assessment. The developed BN captures the (inter) relationships between the exposure route, the

  10. Statistical Classification for Cognitive Diagnostic Assessment: An Artificial Neural Network Approach

    Science.gov (United States)

    Cui, Ying; Gierl, Mark; Guo, Qi

    2016-01-01

    The purpose of the current investigation was to describe how the artificial neural networks (ANNs) can be used to interpret student performance on cognitive diagnostic assessments (CDAs) and evaluate the performances of ANNs using simulation results. CDAs are designed to measure student performance on problem-solving tasks and provide useful…

  11. Linking Supply Chain Network Complexity to Interdependence and Risk-Assessment: Scale Development and Empirical Investigation

    Directory of Open Access Journals (Sweden)

    Samyadip Chakraborty

    2015-12-01

    Full Text Available Concepts like supply chain network complexity, interdependence and risk assessment have been prominently discussed directly and indirectly in management literature over past decades and plenty of frameworks and conceptual prescriptive research works have been published contributing towards building the body of knowledge. However previous studies often lacked quantification of the findings. Consequently, the need for suitable scales becomes prominent for measuring those constructs to empirically support the conceptualized relationships. This paper expands the understanding of supply chain network complexity (SCNC and also highlights its implications on interdependence (ID between the actors and risk assessment (RAS in transaction relationships. In doing so, SCNC and RAS are operationalized to understand how SCNC affects interdependence and risk assessment between the actors in the supply chain network. The contribution of this study lies in developing and validating multi-item scales for these constructs and empirically establishing the hypothesized relationships in the Indian context based on firm data collected using survey–based questionnaire. The methodology followed included structural equation modeling. The study findings indicate that SCNC had significant relationship with interdependence, which in turn significantly affected risk assessment. This study carries both academic and managerial implications and provides an empirically supported framework linking network complexity with the two key variables (ID and RAS, playing crucial roles in managerial decision making. This study contributes to the body of knowledge and aims at guiding managers in better understanding transaction relationships.

  12. Friends in the classroom : a comparison between two methods for the assessment of students' friendship networks

    NARCIS (Netherlands)

    Pijl, Sip Jan; Koster, Marloes; Hannink, Anne; Stratingh, Anna

    2011-01-01

    One of the methods used most often to assess students' friendships and friendship networks is the reciprocal nomination method. However, an often heard complaint is that this technique produces rather negative outcomes. This study compares the reciprocal nomination method with another method to

  13. A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

    Science.gov (United States)

    Science has a critical role to play in guiding more sustainable development trajectories. Here we present the Sustainable Amazon Network (Rede Amazônia Sustentável, RAS): a multi-disciplinary research initiative involving more than 30 partner organisations working to assess both ...

  14. Trustworthiness assessment of cow behaviour data collected in a wireless sensor network

    NARCIS (Netherlands)

    Gomez, L.; Mol, de R.M.; Hogewerf, P.H.; Ipema, A.H.

    2011-01-01

    Wireless sensor networks can be used for automated cow monitoring, e.g. for behaviour and locomotion monitoring. Sensor data should only be used when they can be trusted. The trustworthiness of sensor data can be assessed in a framework, from the acquisition at the node to their delivery to business

  15. Are Imaging and Lesioning Convergent Methods for Assessing Functional Specialisation? Investigations Using an Artificial Neural Network

    Science.gov (United States)

    Thomas, Michael S. C.; Purser, Harry R. M.; Tomlinson, Simon; Mareschal, Denis

    2012-01-01

    This article presents an investigation of the relationship between lesioning and neuroimaging methods of assessing functional specialisation, using synthetic brain imaging (SBI) and lesioning of a connectionist network of past-tense formation. The model comprised two processing "routes": one was a direct route between layers of input and output…

  16. Formal assessment instrument for ensuring the security of NASA's networks, systems and software

    Science.gov (United States)

    Gilliam, D. P.; Powell, J. D.; Sherif, J.

    2002-01-01

    To address the problem of security for NASA's networks, systems and software, NASA has funded the Jet Propulsion Lab in conjunction with UC Davis to begin work on developing a software security assessment instrument for use in the software development and maintenance life cycle.

  17. Bayesian networks improve causal environmental assessments for evidence-based policy

    Science.gov (United States)

    Rule-based weight of evidence approaches to ecological risk assessment may not account for uncertainties and generally lack probabilistic integration of lines of evidence. Bayesian networks allow causal inferences to be made from evidence by including causal knowledge about the p...

  18. A Bayesian network approach for causal inferences in pesticide risk assessment and management

    Science.gov (United States)

    Pesticide risk assessment and management must balance societal benefits and ecosystem protection, based on quantified risks and the strength of the causal linkages between uses of the pesticide and socioeconomic and ecological endpoints of concern. A Bayesian network (BN) is a gr...

  19. Dynamic Bayesian Network Modeling of Game Based Diagnostic Assessments. CRESST Report 837

    Science.gov (United States)

    Levy, Roy

    2014-01-01

    Digital games offer an appealing environment for assessing student proficiencies, including skills and misconceptions in a diagnostic setting. This paper proposes a dynamic Bayesian network modeling approach for observations of student performance from an educational video game. A Bayesian approach to model construction, calibration, and use in…

  20. Cyanobacteria Assessment Network (CyAN) - 2017 NASA Water Resources PI Presentation

    Science.gov (United States)

    Presentation on the Cyanobacteria Assessment Network (CYAN) and how is supports the environmental management and public use of the U.S. lakes and estuaries by providing a capability of detecting and quantifying algal blooms and related water quality using satellite data records.