WorldWideScience

Sample records for modeling studies supported

  1. Model catalytic oxidation studies using supported monometallic and heterobimetallic oxides

    Energy Technology Data Exchange (ETDEWEB)

    Ekerdt, J.G.

    1992-02-03

    This research program is directed toward a more fundamental understanding of the effects of catalyst composition and structure on the catalytic properties of metal oxides. Metal oxide catalysts play an important role in many reactions bearing on the chemical aspects of energy processes. Metal oxides are the catalysts for water-gas shift reactions, methanol and higher alcohol synthesis, isosynthesis, selective catalytic reduction of nitric oxides, and oxidation of hydrocarbons. A key limitation to developing insight into how oxides function in catalytic reactions is in not having precise information of the surface composition under reaction conditions. To address this problem we have prepared oxide systems that can be used to study cation-cation effects and the role of bridging (-O-) and/or terminal (=O) surface oxygen anion ligands in a systematic fashion. Since many oxide catalyst systems involve mixtures of oxides, we selected a model system that would permit us to examine the role of each cation separately and in pairwise combinations. Organometallic molybdenum and tungsten complexes were proposed for use, to prepare model systems consisting of isolated monomeric cations, isolated monometallic dimers and isolated bimetallic dimers supported on silica and alumina. The monometallic and bimetallic dimers were to be used as models of more complex mixed- oxide catalysts. Our current program was to develop the systems and use them in model oxidation reactions.

  2. Modeling studies in support of the IMHEX MCFC commercialization

    Energy Technology Data Exchange (ETDEWEB)

    Jewulski, J.R.; Resnick, G.L.; Hu, W.C.S.

    1998-07-01

    Performance modeling studies are a necessary and cost effective element of the IMHEX-MCFC stack commercialization. Technologix Corporation, in cooperation with M-C Power, has developed the algorithms and computer code for two of the models in addition to modifying the PSI model for applications specific to IMHEX fuel cell concept. Three performance models support the product development effort: a modified PSI model; a two-dimensional cross-flow cell model and a three-dimensional stack model. The sizing, number and location of the stack inter-coolers in a fuel cell stack are typical model application. Recently M-C Power modified its stack configuration to cross-flow. The cross-flow allows simplified repeat parts manufacturing and reduces the risk of gas crossover. The MCFC cross-flow model developed at M-C Power supports heat loss from the stack edges, variable fuel flow rate regions and variable oxidant flow rate regions (coupled with the optimization module) among other features. Extensive computational experiments were conducted in support of the cross-flow geometry development for the MCFC stack. The oxidant flow distribution optimization was used to mitigate the hardware temperature hot-spot typical for the cross-flow geometry. The hardware temperature hot-spot increases corrosion rate, electrolyte loss, and leads to deterioration of the long-term MCFC stack performance. Under the normal operating conditions, the maximum local temperature of the cell hardware should not exceed 960 K. The mathematical optimization software was applied to find the optimum flow distribution. The minimization of the maximum hardware temperature was defined as an optimization goal. The gas flow rate in each region was selected as independent variable subjected to optimization. In some cases the authors have also added a distance between the fuel inlet and the flow region divider to the list of independent variables. The total gas flow rates, inlet gas temperatures and compositions

  3. A Study on Integrated Model of Decision Support Systems

    Institute of Scientific and Technical Information of China (English)

    MO Zan; FENG Shan; TANG Chao

    2002-01-01

    This paper discusses two kinds of systems integrated models available to DSS: Multi-AgentBased Model and Application-Framework-Oriented Model. Both of them are application-oriented integration so it is possible to combine them at the level of application. Based on this theory, this paper presents a new model, MAAFUM, which combines two models and applies them synthetically in DSS.

  4. Ordered mesoporous materials as model supports to study catalyst preparation

    NARCIS (Netherlands)

    Sietsma, J.R.A.

    2007-01-01

    Catalysts are indispensable to modern-day society because of their prominent role in petroleum refining, chemical processing, and the reduction of environmental pollution. The catalytically active component often consists of small metal (oxide) particles that are supported on a carrier such as silic

  5. Force Allocation Modeling in Support of Contingency Operations - Demonstration Study.

    Science.gov (United States)

    2007-11-02

    a in task t for mission m • Capu = total number of units of type u available for assignment • Cu = cost for each unit u deployed The model to...x^ < Capu for each unit u (3.3) m x^ > 0 integer for each (u, m) pair (3.4) (3.1) represents the objective of minimizing system cost. We...scenario s • Ratsm = minimum requirement of action a in task t for mission m, scenario s 14 • Capu = total number of units of type u available for

  6. A comparative study of slope failure prediction using logistic regression, support vector machine and least square support vector machine models

    Science.gov (United States)

    Zhou, Lim Yi; Shan, Fam Pei; Shimizu, Kunio; Imoto, Tomoaki; Lateh, Habibah; Peng, Koay Swee

    2017-08-01

    A comparative study of logistic regression, support vector machine (SVM) and least square support vector machine (LSSVM) models has been done to predict the slope failure (landslide) along East-West Highway (Gerik-Jeli). The effects of two monsoon seasons (southwest and northeast) that occur in Malaysia are considered in this study. Two related factors of occurrence of slope failure are included in this study: rainfall and underground water. For each method, two predictive models are constructed, namely SOUTHWEST and NORTHEAST models. Based on the results obtained from logistic regression models, two factors (rainfall and underground water level) contribute to the occurrence of slope failure. The accuracies of the three statistical models for two monsoon seasons are verified by using Relative Operating Characteristics curves. The validation results showed that all models produced prediction of high accuracy. For the results of SVM and LSSVM, the models using RBF kernel showed better prediction compared to the models using linear kernel. The comparative results showed that, for SOUTHWEST models, three statistical models have relatively similar performance. For NORTHEAST models, logistic regression has the best predictive efficiency whereas the SVM model has the second best predictive efficiency.

  7. The model thin film alumina catalyst support suitable for catalysis-oriented surface science studies

    Energy Technology Data Exchange (ETDEWEB)

    Nartova, Anna V., E-mail: avnartova@gmail.com [Boreskov Institute of Catalysis SB RAS, Lavrentieva Ave., 5, Novosibirsk, 630090 (Russian Federation); Novosibirsk State University, Pirogova St., 2, Novosibirsk, 630090 (Russian Federation); Bukhtiyarov, Andrey V., E-mail: avb@catalysis.ru [Boreskov Institute of Catalysis SB RAS, Lavrentieva Ave., 5, Novosibirsk, 630090 (Russian Federation); Kvon, Ren I., E-mail: kvon@catalysis.ru [Boreskov Institute of Catalysis SB RAS, Lavrentieva Ave., 5, Novosibirsk, 630090 (Russian Federation); Bukhtiyarov, Valerii I., E-mail: vib@catalysis.ru [Boreskov Institute of Catalysis SB RAS, Lavrentieva Ave., 5, Novosibirsk, 630090 (Russian Federation); Novosibirsk State University, Pirogova St., 2, Novosibirsk, 630090 (Russian Federation)

    2015-09-15

    Graphical abstract: - Highlights: • New model catalyst on “AlOx-thin film/FeCrAl” support is presented. • Metal substrate minimizes sample charging, allows fast and uniform heating. • Surface is rough to model the catalyst support's morphology. • Planar alumina is stable in air/gases/solutions and similar to γ-Al{sub 2}O{sub 3}. • New model support is suitable for in situ XPS, STM, TPD, TPR, etc. - Abstract: The preparation of thin continuous alumina film at the surface of metal substrate in UHV (ultra high vacuum) conditions is described. The peculiarities of the obtained films studied by XPS (X-ray photoelectron spectroscopy) and STM (scanning tunneling microscopy) are discussed. The long-term durability of the oxide film was tested and proved both under ambient conditions and in acidic aqueous solutions. The stability of the planar alumina samples toward oxidation by oxygen was checked in the wide ranges of gas pressure and sample temperature. The suggested procedure ensures the controlled and reproducible preparation of thin alumina films – model support appropriate for wet chemistry catalyst preparation, suitable for STM and for other Surface Science techniques studies of alumina supported metal catalysts.

  8. A Qualitative Study of Parental Modeling and Social Support for Physical Activity in Underserved Adolescents

    Science.gov (United States)

    Wright, Marcie S.; Wilson, Dawn K.; Griffin, Sarah; Evans, Alexandra

    2010-01-01

    This study obtained qualitative data to assess how parental role modeling and parental social support influence physical activity in underserved (minority, low-income) adolescents. Fifty-two adolescents (22 males, 30 females; ages 10-14 years, 85% African-American) participated in a focus group (6-10 per group, same gender). Focus groups were…

  9. A qualitative study of parental modeling and social support for physical activity in underserved adolescents

    OpenAIRE

    Wright, Marcie S.; Wilson, Dawn K.; Griffin, Sarah; Evans, Alexandra

    2008-01-01

    This study obtained qualitative data to assess how parental role modeling and parental social support influence physical activity in underserved (minority, low-income) adolescents. Fifty-two adolescents (22 males, 30 females; ages 10–14 years, 85% African-American) participated in a focus group (6–10 per group, same gender). Focus groups were audiotaped, transcribed and coded by independent raters. Inter-rater reliabilities indicated adequate agreement [inter-rater reliability (r) = 0.84]. Th...

  10. Supporting the European Water Framework Directive by enhancing the credibility of modelling studies: the HarmoniQuA Modelling Support Tool (MoST)

    NARCIS (Netherlands)

    Old, G.H.; Packman, J.C.; Scholten, H.

    2005-01-01

    This paper aims to illustrate how the HarmoniQuA modelling Support Tool (MoST) supports modelling for the EU Water Framework Directive (WFD). More specifically the objectives are to: … Present an overview of the European Water Framework Directive; … Identify where computer models are likely to be us

  11. Modeling the Financial Distress of Microenterprise StartUps Using Support Vector Machines: A Case Study

    Directory of Open Access Journals (Sweden)

    Antonio Blanco-Oliver

    2014-10-01

    Full Text Available Despite the leading role that micro-entrepreneurship plays in economic development, and the high failure rate of microenterprise start-ups in their early years, very few studies have designed financial distress models to detect the financial problems of micro-entrepreneurs. Moreover, due to a lack of research, nothing is known about whether non-financial information and nonparametric statistical techniques improve the predictive capacity of these models. Therefore, this paper provides an innovative financial distress model specifically designed for microenterprise startups via support vector machines (SVMs that employs financial, non-financial, and macroeconomic variables. Based on a sample of almost 5,500 micro- entrepreneurs from a Peruvian Microfinance Institution (MFI, our findings show that the introduction of non-financial information related to the zone in which the entrepreneurs live and situate their business, the duration of the MFI-entrepreneur relationship, the number of loans granted by the MFI in the last year, the loan destination, and the opinion of experts on the probability that microenterprise start-ups may experience financial problems, significantly increases the accuracy performance of our financial distress model. Furthermore, the results reveal that the models that use SVMs outperform those which employ traditional logistic regression (LR analysis.

  12. ECSCHOOL Model: A Case Study of Building Learning Support Community in ICT Promotion Project in Japan

    Directory of Open Access Journals (Sweden)

    Wei Zhou

    2010-06-01

    Full Text Available Due to concerns about the digital divide based on age, an ICT promotion project named “e-namokun” was started in Nagoya, Japan to support the Internet use by senior citizens. In the project, a learning support community system named ECSCHOOL (www.ecschool.org for senior citizens and ICT novices was developed to help them gain computer and Internet-related knowledge. The ECSCHOOL model has the following features: learning contents for different users, suitable communication and support tools, introduction of field research results, participation of ICT volunteers, an easy-to-use interface, and low development cost. The ECSCHOOL scheme is a new operational model for promoting e-learning in lifelong learning fields. This paper discusses the ECSCHOOL model, the system’s structure, its main functions, its learning content, and the formation of communities.

  13. Supporting fingerprint identification assessments using a skin stretch model - A preliminary study.

    Science.gov (United States)

    Lee, Rebecca; Comber, Bruce; Abraham, Joshua; Wagner, Michael; Lennard, Chris; Spindler, Xanthe; Roux, Claude

    2017-03-01

    To support fingerprint expert opinion, this research proposes an approach that combines subjective human analysis (as currently applied by fingerprint practitioners) with a statistical test of the result. This approach relies on the hypothesis that there are limits to the distortion caused by skin stretch. Such limits can be modelled by applying a multivariate normal probability density function to the distances and angle formed by a marked ridge characteristic and the two closest neighbouring minutiae. This study presents a model tested on 5 donors in total. The "expected range" of distortion in a within-source comparison using 10 minutiae was determined and compared to between-source comparisons. The expected range of log probability densities for within-source comparisons marked with 10 minutiae was determined to be from -33.4 to -60.0, with all between-source data falling outside this range, between -83 and -305. These results suggest that the proposed generated metric could be a powerful tool for the assessment of fingerprint expert opinion in operational casework.

  14. Developments in radiological assessment and biosphere modelling studies to support radioactive waste disposal in Spain

    Energy Technology Data Exchange (ETDEWEB)

    Perez-Sanchez, D. [Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas - CIEMAT (Spain); Thorne, M. [Mike Thorne and Associates Limited (United States)

    2014-07-01

    Long-term safety assessments for the disposal of radioactive waste in Spain involve the demonstration that annual radiation doses to humans due to potential releases of radionuclides from the waste disposal facility into the biosphere will satisfy the regulatory criteria. For several years, CIEMAT has been developing, for ENRESA, a conceptual approach and tool to support modelling of the migration and accumulation of radionuclides within environmental media once those radionuclides have been released to some component of the biosphere (atmosphere, water bodies or soils). The CIEMAT modelling approach calculates the concentrations of radionuclides in different components of the biosphere and then the calculated radionuclide concentrations are used to estimate the radiation doses to humans due to various exposure paths. In this paper, we not only describe the methodology and modelling approach, we also describe recent developments of that approach to better quantify the resultant doses to humans. First, we present recent developments in the mathematical model for the behaviour of {sup 79}Se and {sup 238}U-series radionuclides in soils and their uptake by plants, taking into account seasonal variations in soil hydrology in Spain. Initial studies with the model that are reported here demonstrate that it is a powerful tool for exploring the behaviour of redox-sensitive radionuclides and {sup 238}U decay chain members in soil-plant systems under different hydrological regimes. In particular, it permits studies of the degree to which secular equilibrium assumptions are appropriate when modelling the {sup 238}U decay chain. Further studies are currently being undertaken examining sensitivities of model results to input parameter values and also applying the model to sites contaminated with {sup 238}U-series radionuclides. It is anticipated that results from these studies will also be reported. A particular interest in biosphere safety assessment is how environmental

  15. Developing a disability determination model using a decision support system in Taiwan: a pilot study.

    Science.gov (United States)

    Chi, Wen-Chou; Liou, Tsan-Hon; Wennie Huang, Wen-Ni; Yen, Chia-Feng; Teng, Sue-Wen; Chang, I-Chiu

    2013-08-01

    The aims of our study were to: (1) develop the Disability Grading Decision Support System (DGDSS) and to (2) compare the new International Classification of Functioning, Disability, and Health (ICF)-based disability determination tool (ICF-DDT) with the diagnosis-based disability determination tool (D-DDT). A total of 9357 patients recruited from 236 accredited institutions were evaluated using the ICF-DDT and the D-DDT, and the presence, severity, and category of the disability identified using the two determination tools were compared. In the DGDSS, the ICF-DDT consisted of four models comprising nine modules to determine the presence and the severity of the disability. The differences between models (modules) are the different combinations of World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) and Scale of Body Functions and Structures. Compared with the D-DDT, more patients were determined to be disability-free when using the ICF-DDT. Module 1-1 had the highest profoundly severe rate, and module 2-2 had the highest mild and moderate disability rates. Module 2-1 had the highest severe disability rate. Module 1-1 resulted in the smallest difference, and module 3-1 resulted in the largest difference, compared with the D-DDT. Feedback from users suggested that the DGDSS is a robust system if the original data are accurate. The presence, severity, and category of the disability determined using the ICF-DDT and the D-DDT were significantly different. The results of the DGDSS provide information for policymakers to determine the optimal allocation of social welfare and medical resources for people with disabilities. Copyright © 2013. Published by Elsevier B.V.

  16. Multiscale Modeling of supported bilayers

    Science.gov (United States)

    Faller, Roland; Xing, Chenyue; Hoopes, Matthew I.

    2009-03-01

    Supported Lipid Bilayers are an abundant research platform for understanding the behavior of real cell membranes as they allow for additional mechanical stability. We studied systematically the changes that a support induces on a phospholipid bilayer using coarse-grained molecular modeling on different levels. We characterize the density and pressure profiles as well as the density imbalance inflicted on the membrane by the support. We also determine the diffusion coefficients and characterize the influence of different corrugations of the support. We then determine the free energy of transfer of phospholipids between the proximal and distal leaflet of a supported membrane using the coarse-grained Martini model. It turns out that there is at equilibrium about a 2-3% higher density in the proximal leaflet. These results are in favorable agreement with recent data obtained by very large scale modeling using a water free model where flip-flop can be observed directly. We compare results of the free energy of transfer obtained by pulling the lipid across the membrane in different ways. There are small quantitative differences but the overall picture is consistent. We are additionally characterizing the intermediate states which determine the barrier height and therefore the rate of translocation.

  17. An experimental study on pumpless extracorporeal membrane oxygenation (ECMO support in a canine model.

    Directory of Open Access Journals (Sweden)

    Tamesue,Kiyokazu

    2006-06-01

    Full Text Available

    This study was carried out to determine whether an extracorporeal membrane oxygenation (ECMO support could be sufficiently conducted by the right ventricle alone from the viewpoint of the hemodynamics and blood gas state. Six infant dogs underwent a bypass between the left pulmonary artery and left atrium with an in-line oxygenator after a left pneumonectomy. Partial ECMO support was conducted simply by opening the circuit, and total ECMO support was conducted by ligating the right pulmonary artery. After the establishment of partial ECMO, approximately one-third of the right ventricular output was passively shunted through the bypass circuit, and the cardiac index and central venous pressure did not change. The mean pulmonary arterial pressures increased significantly. After a complete ligation of the right pulmonary artery, all 6 dogs survived for 12 h, but the cardiac output and blood pressure decreased significantly. The blood gas state was sufficiently maintained throughout the experiment. The results suggest the possibility of using the pumpless ECMO support. However, the flow resistance of the membrane oxygenator proved to still be too high for use in a total pumpless ECMO. Further studies on long-term ECMO and the development of a membrane oxygenator with a considerably low flow-resistance are needed.

  18. Multi-Scale Thermohydrologic Model Sensitivity-Study Calculations in Support of the SSPA

    Energy Technology Data Exchange (ETDEWEB)

    Glascoe, L G; Buscheck, T A; Loosmore, G A; Sun, Y

    2001-12-20

    The purpose of this calculation report is to document the thermohydrologic (TH) model calculations performed for the Supplemental Science and Performance Analysis (SSPA), Volume 1, Section 5 and Volume 2 (BSC 2001d [DIRS 155950], BSC 2001e [DIRS 154659]). The calculations are documented here in accordance with AP-3.12Q REV0 ICN4 [DIRS 154418]. The Technical Working Plan (Twp) for this document is TWP-NGRM-MD-000015 Real. These TH calculations were primarily conducted using three model types: (1) the Multiscale Thermohydrologic (MSTH) model, (2) the line-averaged-heat-source, drift-scale thermohydrologic (LDTH) model, and (3) the discrete-heat-source, drift-scale thermal (DDT) model. These TH-model calculations were conducted to improve the implementation of the scientific conceptual model, quantify previously unquantified uncertainties, and evaluate how a lower-temperature operating mode (LTOM) would affect the in-drift TH environment. Simulations for the higher-temperature operating mode (HTOM), which is similar to the base case analyzed for the Total System Performance Assessment for the Site Recommendation (TSPA-SR) (CRWMS M&O 2000j [DIRS 153246]), were also conducted for comparison with the LTOM. This Calculation Report describes (1) the improvements to the MSTH model that were implemented to reduce model uncertainty and to facilitate model validation, and (2) the sensitivity analyses conducted to better understand the influence of parameter and process uncertainty. The METHOD Section (Section 2) describes the improvements to the MSTH-model methodology and submodels. The ASSUMPTIONS Section (Section 3) lists the assumptions made (e.g., boundaries, material properties) for this methodology. The USE OF SOFTWARE Section (Section 4) lists the software, routines and macros used for the MSTH model and submodels supporting the SSPA. The CALCULATION Section (Section 5) lists the data used in the model and the manner in which the MSTH model is prepared and executed. And

  19. Online estimation of respiratory mechanics in non-invasive pressure support ventilation: a bench model study.

    Science.gov (United States)

    Mulqueeny, Qestra; Tassaux, Didier; Vignaux, Laurence; Jolliet, Philippe; Schindhelm, Klaus; Redmond, Stephen; Lovell, Nigel H

    2010-01-01

    An online algorithm for determining respiratory mechanics in patients using non-invasive ventilation (NIV) in pressure support mode was developed and embedded in a ventilator system. Based on multiple linear regression (MLR) of respiratory data, the algorithm was tested on a patient bench model under conditions with and without leak and simulating a variety of mechanics. Bland-Altman analysis indicates reliable measures of compliance across the clinical range of interest (± 11-18% limits of agreement). Resistance measures showed large quantitative errors (30-50%), however, it was still possible to qualitatively distinguish between normal and obstructive resistances. This outcome provides clinically significant information for ventilator titration and patient management.

  20. Implementation of a clinical decision support system using a service model: results of a feasibility study.

    Science.gov (United States)

    Borbolla, Damian; Otero, Carlos; Lobach, David F; Kawamoto, Kensaku; Gomez Saldaño, Ana M; Staccia, Gustavo; Lopez, Gastón; Figar, Silvana; Luna, Daniel; Bernaldo de Quiros, Fernan Gonzalez

    2010-01-01

    Numerous studies have shown that the quality of health care is inadequate, and healthcare organizations are increasingly turning to clinical decision support systems (CDSS) to address this problem. In implementing CDSS, a highly promising architectural approach is the use of decision support services. However, there are few reported examples of successful implementations of operational CDSS using this approach. Here, we describe how Hospital Italiano de Buenos Aires evaluated the feasibility of using the SEBASTIAN clinical decision support Web service to implement a CDSS integrated with its electronic medical record system. The feasibility study consisted of three stages: first, end-user acceptability testing of the proposed CDSS through focus groups; second, the design and implementation of the system through integration of SEBASTIAN and the authoring of new rules; and finally, validation of system performance and accuracy. Through this study, we found that it is feasible to implement CDSS using a service-based approach. The CDSS is now under evaluation in a randomized controlled trial. The processes and lessons learned from this initiative are discussed.

  1. Air Quality Modeling in Support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS)

    OpenAIRE

    Vlad Isakov; Saravanan Arunachalam; Stuart Batterman; Sarah Bereznicki; Janet Burke; Kathie Dionisio; Val Garcia; David Heist; Steve Perry; Michelle Snyder; Alan Vette

    2014-01-01

    A major challenge in traffic-related air pollution exposure studies is the lack of information regarding pollutant exposure characterization. Air quality modeling can provide spatially and temporally varying exposure estimates for examining relationships between traffic-related air pollutants and adverse health outcomes. A hybrid air quality modeling approach was used to estimate exposure to traffic-related air pollutants in support of the Near-Road Exposures and Effects of Urban Air Pollutan...

  2. Student-centered Role-based Case Study Model to Improve Learning in Decision Support Systems

    Directory of Open Access Journals (Sweden)

    Farrukh Nadeem

    2014-10-01

    Full Text Available One of the important learning objectives of our bachelor course on "Techniques in Decision Support Systems" is to develop understanding of core decision making process in real-life business situations. The conventional teaching methods are unable to explain complexities of real-life business. Although the classroom discussions can be effective to understand general factors, such as opportunity cost, return on investment, etc. affecting business decisions, the effects of factors like dynamic business environment, incomplete information, time pressure etc. can not be truly explained through such simple discussions. In this paper, we describe our experience of adopting student-centered, role-based, case study to deal with this situation. The interactive case-based study not only provided students with experiential learning, but also gave them liberty to test their thoughts. As a result, we observed improved students' learning as well as improved grades. In addition, this approach made classes more dynamic and interesting.

  3. Modeling a Nursing Guideline with Standard Terminology and Unified Modeling Language for a Nursing Decision Support System: A Case Study.

    Science.gov (United States)

    Choi, Jeeyae; Jansen, Kay; Coenen, Amy

    In recent years, Decision Support Systems (DSSs) have been developed and used to achieve "meaningful use". One approach to developing DSSs is to translate clinical guidelines into a computer-interpretable format. However, there is no specific guideline modeling approach to translate nursing guidelines to computer-interpretable guidelines. This results in limited use of DSSs in nursing. Unified modeling language (UML) is a software writing language known to accurately represent the end-users' perspective, due to its expressive characteristics. Furthermore, standard terminology enabled DSSs have been shown to smoothly integrate into existing health information systems. In order to facilitate development of nursing DSSs, the UML was used to represent a guideline for medication management for older adults encode with the International Classification for Nursing Practice (ICNP®). The UML was found to be a useful and sufficient tool to model a nursing guideline for a DSS.

  4. Perfluorocarbon Gas Tracer Studies to Support Risk Assessment Modeling of Critical Infrastructure Subjected to Terrorist Attacks

    Energy Technology Data Exchange (ETDEWEB)

    Sullivan, Terry M.; Heiser, John H.; Watson, Tom; Allwine, K Jerry; Flaherty, Julia E.

    2006-05-06

    Development of real-time predictive modeling to identify the dispersion and/or source(s) of airborne weapons of mass destruction including chemical, biological, radiological, and nuclear material in urban environments is needed to improve response to potential releases of these materials via either terrorist or accidental means. These models will also prove useful in defining airborne pollution dispersion in urban environments for pollution management/abatement programs. Predicting gas flow in an urban setting on a scale of less than a few kilometers is a complicated and challenging task due to the irregular flow paths that occur along streets and alleys and around buildings of different sizes and shapes, i.e., “urban canyons”. In addition, air exchange between the outside and buildings and subway areas further complicate the situation. Transport models that are used to predict dispersion of WMD/CBRN materials or to back track the source of the release require high-density data and need defensible parameterizations of urban processes. Errors in the data or any of the parameter inputs or assumptions will lead to misidentification of the airborne spread or source release location(s). The need for these models to provide output in a real-time fashion if they are to be useful for emergency response provides another challenge. To improve the ability of New York City’s (NYC's) emergency management teams and first response personnel to protect the public during releases of hazardous materials, the New York City Urban Dispersion Program (UDP) has been initiated. This is a four year research program being conducted from 2004 through 2007. This paper will discuss ground level and subway Perfluorocarbon tracer (PFT) release studies conducted in New York City. The studies released multiple tracers to study ground level and vertical transport of contaminants. This paper will discuss the results from these tests and how these results can be used for improving

  5. Model heterogeneous acid catalysts and metal-support interactions: A combined surface science and catalysis study

    Energy Technology Data Exchange (ETDEWEB)

    Boszormenyi, I.

    1991-05-01

    This (<100 [Angstrom]) silica-alumina layers were tested as potential model heterogeneous acid catalysts for combined surface science and catalysis studies. Three preparation methods were used: oxidation of r3 [times] r3 R30 Al/Si(111) structure in UHV; deposition on Si(lll) from aqueous solution; and argon ion beam sputter deposition in UHV. The homogeneous thin layers are amorphous, and the chemical environment of surface atoms is similar to that of Si, Al and oxygen atoms on high surface area acid catalysts. Since the ion beam-deposited thin layer of silica-alumina has the same composition as the target zeolite this deposition method is a promising tool to prepare model catalysts using practical catalyst targets. The silica-alumina layers are active in cumene cracking, a typical acid catalyzed reaction. In order to clearly distinguish background reactions and the acid catalyzed reaction at least 20 cm[sup 2] catalyst surface area is needed. Two series of model platinum-alumina catalysts were prepared in a combined UHV -- high pressure reactor cell apparatus by depositing alumina on polycrystalline Pt foil and by vapor depositing Pt on a thin alumina layer on Au. Both model surfaces have been prepared with and without chlorine. AES, CO desorption as well as methyl cyclopentane (MCP) hydrogenolysis studies indicate that the Pt surface area is always higher if a chlorination step is involved. Selectivity patterns in MCP ring opening on Pt-on-alumina'' and on alumina-on-Pt'' are different; only the former is a linear combination of selective and statistical ring opening. Product distribution, however, changes with coverage and reaction time. The properties of the two model catalyst systems and role of chlorine in MCP hydrogenolysis are also discussed.

  6. Model heterogeneous acid catalysts and metal-support interactions: A combined surface science and catalysis study

    Energy Technology Data Exchange (ETDEWEB)

    Boszormenyi, I.

    1991-05-01

    This (<100 {Angstrom}) silica-alumina layers were tested as potential model heterogeneous acid catalysts for combined surface science and catalysis studies. Three preparation methods were used: oxidation of r3 {times} r3 R30 Al/Si(111) structure in UHV; deposition on Si(lll) from aqueous solution; and argon ion beam sputter deposition in UHV. The homogeneous thin layers are amorphous, and the chemical environment of surface atoms is similar to that of Si, Al and oxygen atoms on high surface area acid catalysts. Since the ion beam-deposited thin layer of silica-alumina has the same composition as the target zeolite this deposition method is a promising tool to prepare model catalysts using practical catalyst targets. The silica-alumina layers are active in cumene cracking, a typical acid catalyzed reaction. In order to clearly distinguish background reactions and the acid catalyzed reaction at least 20 cm{sup 2} catalyst surface area is needed. Two series of model platinum-alumina catalysts were prepared in a combined UHV -- high pressure reactor cell apparatus by depositing alumina on polycrystalline Pt foil and by vapor depositing Pt on a thin alumina layer on Au. Both model surfaces have been prepared with and without chlorine. AES, CO desorption as well as methyl cyclopentane (MCP) hydrogenolysis studies indicate that the Pt surface area is always higher if a chlorination step is involved. Selectivity patterns in MCP ring opening on ``Pt-on-alumina`` and on ``alumina-on-Pt`` are different; only the former is a linear combination of selective and statistical ring opening. Product distribution, however, changes with coverage and reaction time. The properties of the two model catalyst systems and role of chlorine in MCP hydrogenolysis are also discussed.

  7. A workflow example of PBPK modeling to support pediatric research and development: case study with lorazepam.

    Science.gov (United States)

    Maharaj, A R; Barrett, J S; Edginton, A N

    2013-04-01

    The use of physiologically based pharmacokinetic (PBPK) models in the field of pediatric drug development has garnered much interest of late due to a recent Food and Drug Administration recommendation. The purpose of this study is to illustrate the developmental processes involved in creation of a pediatric PBPK model incorporating existing adult drug data. Lorazepam, a benzodiazepine utilized in both adults and children, was used as an example. A population-PBPK model was developed in PK-Sim v4.2® and scaled to account for age-related changes in size and composition of tissue compartments, protein binding, and growth/maturation of elimination processes. Dose (milligrams per kilogram) requirements for children aged 0-18 years were calculated based on simulations that achieved targeted exposures based on adult references. Predictive accuracy of the PBPK model for producing comparable plasma concentrations among 63 pediatric subjects was assessed using average-fold error (AFE). Estimates of clearance (CL) and volume of distribution (V(ss)) were compared with observed values for a subset of 15 children using fold error (FE). Pediatric dose requirements in young children (1-3 years) exceeded adult levels on a linear weight-adjusted (milligrams per kilogram) basis. AFE values for model-derived concentration estimates were within 1.5- and 2-fold deviation from observed values for 73% and 92% of patients, respectively. For CL, 60% and 80% of predictions were within 1.5 and 2 FE, respectively. Comparatively, predictions of V(ss) were more accurate with 80% and 100% of estimates within 1.5 and 2 FE, respectively. Using the presented workflow, the developed pediatric model estimated lorazepam pharmacokinetics in children as a function of age.

  8. Validation of an experimental polyurethane model for biomechanical studies on implant supported prosthesis - tension tests

    Directory of Open Access Journals (Sweden)

    Mariane Miyashiro

    2011-06-01

    Full Text Available OBJECTIVES: The complexity and heterogeneity of human bone, as well as ethical issues, frequently hinder the development of clinical trials. The purpose of this in vitro study was to determine the modulus of elasticity of a polyurethane isotropic experimental model via tension tests, comparing the results to those reported in the literature for mandibular bone, in order to validate the use of such a model in lieu of mandibular bone in biomechanical studies. MATERIAL AND METHODS: Forty-five polyurethane test specimens were divided into 3 groups of 15 specimens each, according to the ratio (A/B of polyurethane reagents (PU-1: 1/0.5, PU-2: 1/1, PU-3: 1/1.5. RESULTS: Tension tests were performed in each experimental group and the modulus of elasticity values found were 192.98 MPa (SD=57.20 for PU-1, 347.90 MPa (SD=109.54 for PU-2 and 304.64 MPa (SD=25.48 for PU-3. CONCLUSION: The concentration of choice for building the experimental model was 1/1.

  9. Matrixed business support comparison study.

    Energy Technology Data Exchange (ETDEWEB)

    Parsons, Josh D.

    2004-11-01

    The Matrixed Business Support Comparison Study reviewed the current matrixed Chief Financial Officer (CFO) division staff models at Sandia National Laboratories. There were two primary drivers of this analysis: (1) the increasing number of financial staff matrixed to mission customers and (2) the desire to further understand the matrix process and the opportunities and challenges it creates.

  10. PERFLUOROCARBON GAS TRACER STUDIES TO SUPPORT RISK ASSESSMENT MODELING OF CRITICAL INFRASTRUCTURE SUBJECTED TO TERRORIST ATTACKS.

    Energy Technology Data Exchange (ETDEWEB)

    SULLIVAN, T.M.; HEISER, J.; WATSON, T.; ALLWINE, K.J.; FLAHERTY, J.E.

    2006-05-06

    Development of real-time predictive modeling to identify the dispersion and/or source(s) of airborne weapons of mass destruction including chemical, biological, radiological, and nuclear material in urban environments is needed to improve response to potential releases of these materials via either terrorist or accidental means. These models will also prove useful in defining airborne pollution dispersion in urban environments for pollution management/abatement programs. Predicting gas flow in an urban setting on a scale of less than a few kilometers is a complicated and challenging task due to the irregular flow paths that occur along streets and alleys and around buildings of different sizes and shapes, i.e., ''urban canyons''. In addition, air exchange between the outside and buildings and subway areas further complicate the situation. Transport models that are used to predict dispersion of WMD/CBRN materials or to back track the source of the release require high-density data and need defensible parameterizations of urban processes. Errors in the data or any of the parameter inputs or assumptions will lead to misidentification of the airborne spread or source release location(s). The need for these models to provide output in a real-time fashion if they are to be useful for emergency response provides another challenge. To improve the ability of New York City's (NYC's) emergency management teams and first response personnel to protect the public during releases of hazardous materials, the New York City Urban Dispersion Program (UDP) has been initiated. This is a four year research program being conducted from 2004 through 2007. This paper will discuss ground level and subway Perfluorocarbon tracer (PFT) release studies conducted in New York City. The studies released multiple tracers to study ground level and vertical transport of contaminants. This paper will discuss the results from these tests and how these results can be used

  11. Thermal performance sensitivity studies in support of material modeling for extended storage of used nuclear fuel

    Energy Technology Data Exchange (ETDEWEB)

    Cuta, Judith M. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Suffield, Sarah R. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Fort, James A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Adkins, Harold E. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2013-08-15

    The work reported here is an investigation of the sensitivity of component temperatures of a storage system, including fuel cladding temperatures, in response to age-related changes that could degrade the design-basis thermal behavior of the system. The purpose of these sensitivity studies is to provide a realistic example of how changes in the physical properties or configuration of the storage system components can affect temperatures and temperature distributions. The magnitudes of these sensitivities can provide guidance for identifying appropriate modeling assumptions for thermal evaluations extending long term storage out beyond 50, 100, 200, and 300 years.

  12. Model-supported phototrophic growth studies with Scenedesmus obtusiusculus in a flat-plate photobioreactor.

    Science.gov (United States)

    Koller, Anja Pia; Löwe, Hannes; Schmid, Verena; Mundt, Sabine; Weuster-Botz, Dirk

    2017-02-01

    Light-dependent growth of microalgae can vary remarkably depending on the cultivation system and microalgal strain. Cell size and the pigmentation of each strain, as well as reactor geometry have a great impact on absorption and scattering behavior within a photobioreactor. In this study, the light-dependent, cell-specific growth kinetics of a novel green algae isolate, Scenedesmus obtusiusculus, was studied in a LED-illuminated flat-plate photobioreactor on a lab-scale (1.8 L, 0.09 m(2) ). First, pH-controlled batch processes were performed with S. obtusiusculus at different constant incident photon flux densities. The best performance was achieved by illuminating S. obtusiusculus with 1400 μmol photons m(-2)  s(-1) at the surface of the flat-plate photobioreactor, resulting in the highest biomass concentration (4.95 ± 0.16 gCDW  L(-1) within 3.5 d) and the highest specific growth rate (0.22 h(-1) ). The experimental data were used to identify the kinetic parameters of different growth models considering light inhibition for S. obtusiusculus. Light attenuation within the flat-plate photobioreactor was considered by varying light transfer models. Based on the identified kinetic growth model of S. obtusiusculus, an optimum growth rate of 0.22 h(-1) was estimated at a mean integral photon flux density of 1072 μmol photons m(-2)  s(-1) with the Beer-Lambert law and 1590 μmol photons m(-2)  s(-1) with Schuster's light transfer model in the flat-plate photobioreactor. LED illumination was, thus, increased to keep the identified optimum mean integral photon flux density constant in the batch process assuming Schuster's light transfer model. Compared to the same constant incident photon flux density (1590 μmol photons m(-2)  s(-1) ), biomass concentration was up to 24% higher using the lighting profile until a dry cell mass concentration of 14.4 ± 1.4 gCDW  L(-1) was reached. Afterward, the biomass concentration remained

  13. Air quality modeling in support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS).

    Science.gov (United States)

    Isakov, Vlad; Arunachalam, Saravanan; Batterman, Stuart; Bereznicki, Sarah; Burke, Janet; Dionisio, Kathie; Garcia, Val; Heist, David; Perry, Steve; Snyder, Michelle; Vette, Alan

    2014-08-27

    A major challenge in traffic-related air pollution exposure studies is the lack of information regarding pollutant exposure characterization. Air quality modeling can provide spatially and temporally varying exposure estimates for examining relationships between traffic-related air pollutants and adverse health outcomes. A hybrid air quality modeling approach was used to estimate exposure to traffic-related air pollutants in support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS) conducted in Detroit (Michigan, USA). Model-based exposure metrics, associated with local variations of emissions and meteorology, were estimated using a combination of the American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) and Research LINE-source dispersion model for near-surface releases (RLINE) dispersion models, local emission source information from the National Emissions Inventory, detailed road network locations and traffic activity, and meteorological data from the Detroit City Airport. The regional background contribution was estimated using a combination of the Community Multi-scale Air Quality (CMAQ) and the Space-Time Ordinary Kriging (STOK) models. To capture the near-road pollutant gradients, refined "mini-grids" of model receptors were placed around participant homes. Exposure metrics for CO, NOx, PM2.5 and its components (elemental and organic carbon) were predicted at each home location for multiple time periods including daily and rush hours. The exposure metrics were evaluated for their ability to characterize the spatial and temporal variations of multiple ambient air pollutants compared to measurements across the study area.

  14. Thermal performance sensitivity studies in support of material modeling for extended storage of used nuclear fuel

    Energy Technology Data Exchange (ETDEWEB)

    Cuta, Judith M.; Suffield, Sarah R.; Fort, James A.; Adkins, Harold E.

    2013-08-15

    The work reported here is an investigation of the sensitivity of component temperatures of a storage system, including fuel cladding temperatures, in response to age-related changes that could degrade the design-basis thermal behavior of the system. Three specific areas of interest were identified for this study. • degradation of the canister backfill gas from pure helium to a mixture of air and helium, resulting from postulated leakage due to stress corrosion cracking (SCC) of canister welds • changes in surface emissivity of system components, resulting from corrosion or other aging mechanisms, which could cause potentially significant changes in temperatures and temperature distributions, due to the effect on thermal radiation exchange between components • changes in fuel and basket temperatures due to changes in fuel assembly position within the basket cells in the canister The purpose of these sensitivity studies is to provide a realistic example of how changes in the physical properties or configuration of the storage system components can affect temperatures and temperature distributions. The magnitudes of these sensitivities can provide guidance for identifying appropriate modeling assumptions for thermal evaluations extending long term storage out beyond 50, 100, 200, and 300 years.

  15. Large Scale Solar Power Integration in Distribution Grids: PV Modelling, Voltage Support and Aggregation Studies

    NARCIS (Netherlands)

    Samadi, A.

    2014-01-01

    Long term supporting schemes for photovoltaic (PV) system installation have led to accommodating large numbers of PV systems within load pockets in distribution grids. High penetrations of PV systems can cause new technical challenges, such as voltage rise due to reverse power flow during light load

  16. Rhode Island Model Evaluation & Support System: Support Professional. Edition II

    Science.gov (United States)

    Rhode Island Department of Education, 2015

    2015-01-01

    Rhode Island educators believe that implementing a fair, accurate, and meaningful evaluation and support system for support professionals will help improve student outcomes. The primary purpose of the Rhode Island Model Support Professional Evaluation and Support System (Rhode Island Model) is to help all support professionals do their best work…

  17. A Daily Diary Study of Coping in the Context of the Job Demands-Control-Support Model

    Science.gov (United States)

    Daniels, Kevin; Harris, Claire

    2005-01-01

    We examined one of the processes thought to underpin Karasek and Theorell's job demands-control-support model (1990). This is that control and support accentuate better well-being by fostering problem-focused coping with work demands. We also examined whether other forms of coping implemented through control and support are related to indicators…

  18. Rhodium particles supported by thin vanadia films as model systems for catalysis: An electron microscopy study

    Energy Technology Data Exchange (ETDEWEB)

    Penner, S. [Institut fuer Physikalische Chemie, Universitaet Innsbruck, Innrain 52a, A-6020 Innsbruck (Austria); Wang, D. [Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg, 4-6, D-14195 Berlin (Germany); Schloegl, R. [Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg, 4-6, D-14195 Berlin (Germany); Hayek, K. [Institut fuer Physikalische Chemie, Universitaet Innsbruck, Innrain 52a, A-6020 Innsbruck (Austria)]. E-mail: konrad.hayek@uibk.ac.at

    2005-07-22

    Well-shaped Rh particles grown epitaxially on NaCl surfaces were coated with a 25 nm layer of crystalline vanadium oxide by reactive deposition in 10{sup -4} mbar oxygen. The Rh/VO{sub x} film was subjected to consecutive heat treatments in 1 bar oxygen and in 1 bar hydrogen up to 673 K. The structural and morphological changes were monitored by (high-resolution) transmission electron microscopy, selected area electron diffraction and electron energy-loss spectroscopy and compared to the alterations of a bare vanadium oxide film treated under equal conditions. The stoichiometry and structure of the VO{sub x} support depend on the temperature of the NaCl template and on the deposition rate. Low deposition rates and high substrate temperatures favour the generation of a pure V{sub 2}O{sub 3} phase, with both V{sub 2}O{sub 3} and the Rh particles in epitaxial relation to NaCl (001). A treatment in 1 bar O{sub 2} between 300 and 573 K converts the supporting oxide into mixed V{sub 2}O{sub 3}, VO{sub 2} and V{sub 2}O{sub 5} phases. Oxidation at 673 K induces a complete reconstruction into a single V{sub 2}O{sub 5} phase, while an oxygen treatment at 723 K transforms also the Rh particles into ({beta})Rh{sub 2}O{sub 3}. Reduction of the bare V{sub 2}O{sub 5} film in 1 bar hydrogen yields cubic VO at 673 K, but reduction of the Rh/V{sub 2}O{sub 5} film leads to VO formation already at 473 K. Finally, a reduction of vanadia-supported Rh particles at and above 573 K results in the formation of Rh/V alloy structures.

  19. Schema Evolution for Persistent Object-Oriented Software: Model, Empirical Study, and Automated Support

    CERN Document Server

    Piccioni, Marco; Meyer, Bertrand

    2011-01-01

    With the wide support for object serialization in object-oriented programming languages, persistent objects have become common place and most large object-oriented software systems rely on extensive amounts of persistent data. Such systems also evolve over time. Retrieving previously persisted objects from classes whose schema has changed is however difficult, and may lead to invalidating the consistency of the application. The ESCHER framework addresses this issues through an IDE-integrated approach that handles schema evolution by managing versions of the code and generating transformation functions automatically. The infrastructure also enforces class invariants to prevent the introduction of any corrupt objects. This article describes the principles behind invariant-safe schema evolution, and the design and implementation of the ESCHER system.

  20. Study Protocol: Nutritional Support in a Cross-sector Model for the Rehabilitation of Geriatric Patients

    DEFF Research Database (Denmark)

    Beck, Anne Marie; Rask, Kø; Leedo, Eva

    2014-01-01

    with the Follow-home Team, while the remaining visits will take place approximately three and eight weeks after discharge and will be performed by the RD alone. The information gathered by the Follow-home Team i.e. regarding the medical treatment, the patient’s functional abilities and ability to cope...... Living, quality of life, use of social services, re-admissions and mortality. Discussion: This project is the first to combine individualized nutritional intervention with intervention from an established Follow-home Team. The results will hopefully help to ensure the cross-sector quality of nutritional......Background: Hospital stays are generally getting shorter which leaves limited time to improve a poor nutritional status for geriatric patients. Therefore, it seems necessary to integrate nutritional support also in the period after discharge. Furthermore, improving cross-sector cooperation...

  1. SIMGRO, a GIS-Supported Regional Hydrologic Model in Irrigated Areas : Case study in Mendoza, Argentina

    NARCIS (Netherlands)

    Querner, E.P.; Morabito, J.A.; Tozzi, D.A.

    2008-01-01

    The SIMGRO hydrologic simulation model was extended to include irrigation practice. It could then be used to evaluate the effect of hydrologic changes in an irrigated area in the province of Mendoza, Argentina where, given an average annual rainfall of approximately 200mm , irrigation is crucial for

  2. A Multimedia Fate Model to Support Chemical Management in China: A Case Study for Selected Trace Organics.

    Science.gov (United States)

    Zhu, Ying; Price, Oliver R; Kilgallon, John; Rendal, Cecilie; Tao, Shu; Jones, Kevin C; Sweetman, Andrew J

    2016-07-05

    SESAMe v3.3, a spatially explicit multimedia fate model for China, is a tool suggested to support quantitative risk assessment for national scale chemical management. The key advantage over the previous version SESAMe v3.0 is consideration of spatially varied environmental pH. We evaluate the model performance using estimates of emission from total industry usage of three UV filters (benzophenone-3, octocrylene, and octyl methoxycinnamate) and three antimicrobials (triclosan, triclocarban, and climbazole). The model generally performs well for the six case study chemicals as shown by the comparison between predictions and measurements. The importance of accounting for chemical ionization is demonstrated with the fate and partitioning of both triclosan and climbazole sensitivity to environmental pH. The model predicts ionizable chemicals (triclosan, climbazole, benzophenone-3) to primarily partition into soils at steady state, despite hypothetically only being released to freshwaters, as a result of agricultural irrigation by freshwater. However, further model calibration is needed when more field data becomes available for soils and sediments and for larger areas of water. As an example, accounting for the effect of pH in the environmental risk assessment of triclosan, limited freshwater areas (0.03% or ca. 55 km(2)) in mainland China are modeled to exceed its conservative environmental no-effect threshold. SESAMe v3.3 can be used to support the development of chemical risk assessment methodologies with the spatial aspects of the model providing a guide to the identification regions of interest in which to focus monitoring campaigns or develop a refined risk assessment.

  3. Air Quality Modeling in Support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS

    Directory of Open Access Journals (Sweden)

    Vlad Isakov

    2014-08-01

    Full Text Available A major challenge in traffic-related air pollution exposure studies is the lack of information regarding pollutant exposure characterization. Air quality modeling can provide spatially and temporally varying exposure estimates for examining relationships between traffic-related air pollutants and adverse health outcomes. A hybrid air quality modeling approach was used to estimate exposure to traffic-related air pollutants in support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS conducted in Detroit (Michigan, USA. Model-based exposure metrics, associated with local variations of emissions and meteorology, were estimated using a combination of the American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD and Research LINE-source dispersion model for near-surface releases (RLINE dispersion models, local emission source information from the National Emissions Inventory, detailed road network locations and traffic activity, and meteorological data from the Detroit City Airport. The regional background contribution was estimated using a combination of the Community Multi-scale Air Quality (CMAQ and the Space-Time Ordinary Kriging (STOK models. To capture the near-road pollutant gradients, refined “mini-grids” of model receptors were placed around participant homes. Exposure metrics for CO, NOx, PM2.5 and its components (elemental and organic carbon were predicted at each home location for multiple time periods including daily and rush hours. The exposure metrics were evaluated for their ability to characterize the spatial and temporal variations of multiple ambient air pollutants compared to measurements across the study area.

  4. A Method for Estimating Urban Background Concentrations in Support of Hybrid Air Pollution Modeling for Environmental Health Studies

    Directory of Open Access Journals (Sweden)

    Saravanan Arunachalam

    2014-10-01

    Full Text Available Exposure studies rely on detailed characterization of air quality, either from sparsely located routine ambient monitors or from central monitoring sites that may lack spatial representativeness. Alternatively, some studies use models of various complexities to characterize local-scale air quality, but often with poor representation of background concentrations. A hybrid approach that addresses this drawback combines a regional-scale model to provide background concentrations and a local-scale model to assess impacts of local sources. However, this approach may double-count sources in the study regions. To address these limitations, we carefully define the background concentration as the concentration that would be measured if local sources were not present, and to estimate these background concentrations we developed a novel technique that combines space-time ordinary kriging (STOK of observations with outputs from a detailed chemistry-transport model with local sources zeroed out. We applied this technique to support an exposure study in Detroit, Michigan, for several pollutants (including NOx and PM2.5, and evaluated the estimated hybrid concentrations (calculated by combining the background estimates that addresses this issue of double counting with local-scale dispersion model estimates using observations. Our results demonstrate the strength of this approach specifically by eliminating the problem of double-counting reported in previous hybrid modeling approaches leading to improved estimates of background concentrations, and further highlight the relative importance of NOx vs. PM2.5 in their relative contributions to total concentrations. While a key limitation of this approach is the requirement for another detailed model simulation to avoid double-counting, STOK improves the overall characterization of background concentrations at very fine spatial scales.

  5. A Method for Estimating Urban Background Concentrations in Support of Hybrid Air Pollution Modeling for Environmental Health Studies

    Science.gov (United States)

    Arunachalam, Saravanan; Valencia, Alejandro; Akita, Yasuyuki; Serre, Marc L.; Omary, Mohammad; Garcia, Valerie; Isakov, Vlad

    2014-01-01

    Exposure studies rely on detailed characterization of air quality, either from sparsely located routine ambient monitors or from central monitoring sites that may lack spatial representativeness. Alternatively, some studies use models of various complexities to characterize local-scale air quality, but often with poor representation of background concentrations. A hybrid approach that addresses this drawback combines a regional-scale model to provide background concentrations and a local-scale model to assess impacts of local sources. However, this approach may double-count sources in the study regions. To address these limitations, we carefully define the background concentration as the concentration that would be measured if local sources were not present, and to estimate these background concentrations we developed a novel technique that combines space-time ordinary kriging (STOK) of observations with outputs from a detailed chemistry-transport model with local sources zeroed out. We applied this technique to support an exposure study in Detroit, Michigan, for several pollutants (including NOx and PM2.5), and evaluated the estimated hybrid concentrations (calculated by combining the background estimates that addresses this issue of double counting with local-scale dispersion model estimates) using observations. Our results demonstrate the strength of this approach specifically by eliminating the problem of double-counting reported in previous hybrid modeling approaches leading to improved estimates of background concentrations, and further highlight the relative importance of NOx vs. PM2.5 in their relative contributions to total concentrations. While a key limitation of this approach is the requirement for another detailed model simulation to avoid double-counting, STOK improves the overall characterization of background concentrations at very fine spatial scales. PMID:25321872

  6. The Effects of Supervisors' Support and Mediating Factors on the Nurses' Job Performance Using Structural Equation Modeling: A Case Study.

    Science.gov (United States)

    Ravangard, Ramin; Yasami, Shamim; Shokrpour, Nasrin; Sajjadnia, Zahra; Farhadi, Payam

    2015-01-01

    Nurses are the largest group and an important part of the providers in the health care systems that who a key role in hospitals. Any defect and deficiency in their work can result in irreversible outcomes. This study aimed to determine the effect of supervisors' support and mediating factors on the job performance (JOBPER) of 400 nurses working in the teaching hospitals affiliated to Shiraz University of Medical Sciences, using structural equation modeling. The results showed that the supervisor's support had a significant negative effect on work-family conflict (t = -2.57) and a positive effect on organizational commitment (t = 4.03); Work-family conflict had a significant positive effect on job stress (t = 11.24) and a negative effect on organizational commitment (t = -3.35) and JOBPER (t = -2.29). Family-work conflict had a positive effect on job stress (t = 4.48) and a negative effect on organizational commitment (t = -2.54). Finally, job stress had a negative effect (t = -3.30), and organizational commitment showed a positive effect (t = 5.96) on the studied nurses' JOBPER. According to the results, supervisor's support could influence JOBPER through reducing work-family conflict and increasing organizational commitment. Therefore, to improve the nurses' JOBPER in the hospitals, some strategies are recommended.

  7. Field studies at the Apache Leap Research Site in support of alternative conceptual models

    Energy Technology Data Exchange (ETDEWEB)

    Woodhouse, E.G.; Davidson, G.R.; Theis, C. [eds.] [and others

    1997-08-01

    This is a final technical report for a project of the U.S Nuclear Regulatory Commission (sponsored contract NRC-04-090-51) with the University of Arizona. The contract was an optional extension that was initiated on July 21, 1994 and that expired on May 31, 1995. The project manager was Thomas J. Nicholson, Office of Nuclear Regulatory Research. The objectives of this contract were to examine hypotheses and conceptual models concerning unsaturated flow and transport through fractured rock, and to design and execute confirmatory field and laboratory experiments to test these hypotheses and conceptual models at the Apache Leap Research Site near Superior, Arizona. The results discussed here are products of specific tasks that address a broad spectrum of issues related to flow and transport through fractures. Each chapter in this final report summarizes research related to a specific set of objectives and can be read and interpreted as a separate entity. The tasks include detection and characterization of historical rapid fluid flow through fractured rock and the relationship to perched water systems using environmental isotopic tracers of {sup 3}H and {sup 14}C, fluid- and rock-derived {sup 2343}U/{sup 238}U measurements, and geophysical data. The water balance in a small watershed at the ALRS demonstrates the methods of acounting for ET, and estimating the quantity of water available for infiltration through fracture networks. Grain density measurements were made for core-sized samples using a newly designed gas pycnometer. The distribution and magnitude of air permeability measurements have been measured in a three-dimensional setting; the subsequent geostatistical analysis is presented. Electronic versions of the data presented here are available from authors; more detailed discussions and analyses are available in technical publications referenced herein, or soon to appear in the professional literature.

  8. Using a Modelling Language for Supporting University Students' Orienting Activity When Studying Research Methods

    Science.gov (United States)

    Kosonen, Kari; Ilomäki, Liisa; Lakkala, Minna

    2015-01-01

    The present study focuses on examining how digitally guided conceptual mapping can be used in orienting students in higher education to learn complex domain content and practices. The outcomes of conceptual mapping were investigated as the orienting bases created by the students that used digitalized conceptual tools to construct an external…

  9. DEVELOPMENT MODEL FOR SUPPORTING THE ACCOMPLISHMENT OF ACADEMIC LEVEL: CASE STUDY OF BINA NUSANTARA UNIVERSITY

    Directory of Open Access Journals (Sweden)

    Sulistyo Heripracoyo

    2013-05-01

    Full Text Available The fact that a small number of lecturers who are able to meet or pass the requirementsfor obtaining or enhancing the academic hierarchy (JJA/Jenjang Jabatan Akademis is the reasonof the study. An analysis was performed on the historical data of the university faculty members.Analysis of historical data was done by making use of a data warehouse and data miningapplications to describe and map lecturer’s JJA care, as well as with the data mining tool WEKAversion 3.6.6. to know some of the variables that affect the maintenance of the JJA at BinaNusantara University. Results of this study are most between the ages of 30 and 45 years old, andfor analysis based on a paper having an excellent outcome is the level of lecturer (Lektor andAssociate Professor. Based on these results, it needs special attention especially those agedbetween 30 and 45 and who have JJA Associate Professor and Lecturer (Lektor.

  10. Modeling using support vector machines on imbalanced data: A case study on the prediction of the sightings of Irrawaddy dolphins

    Science.gov (United States)

    Ying, Liew Chin; Labadin, Jane; Chai, Wang Yin; Tuen, Andrew Alek; Peter, Cindy

    2015-05-01

    Support vector machines (SVMs) is a powerful machine learning algorithm for classification particularly in medical, image processing and text analysis related studies. Nonetheless, its application in ecology is scarce. This study aims to demonstrate and compare the classification performance of SVMs models developed with weights and models developed with adoption of systematic random under-sampling technique in predicting a one-class independent dataset. The data used is a typical imbalanced real-world data with 700 data points where only 11% are sighted data points. Conversely, the one-class independent real-world dataset, with twenty data points, used for prediction consists of sighted data only. Both datasets are characterized with seven attributes. The results show that the former models have reported overall accuracy ranged between 87.62% and 90% with G-mean between 0% and 30.07% (0% to 9.09% sensitivity and 97.34% to 100% specificity) while the ROC-AUC values ranged between 75.92% and 88.78%. The latter models have reported overall accuracy ranged between 67.39% and 78.26% with G-mean between 66.51% and 76.30% (78.26% to 95.65% sensitivity and 52.17% to 60.87% specificity) while the ROC-AUC values ranged between 72.59% and 85.82%. Nevertheless, the former models could barely predict the independent dataset successfully. Majority of the models fail to predict a single sighted data point and the best prediction accuracy reported is 30%. The classification performance of the latter models is surprisingly encouraging where majority of the models manage to achieve more than 30% prediction accuracy. In addition, many of the models are capable to attain 65% prediction accuracy, more than double the performance of the former models. Current study thus suggests that, where highly imbalanced ecology data is concerned, modeling using SVMs adopting systematic random under-sampling technique is a more promising mean than w-SVM in obtaining much rewarding classification

  11. Model catalytic oxidation studies using supported monometallic and heterobimetallic oxides. Progress report, August 1, 1991--January 31, 1992

    Energy Technology Data Exchange (ETDEWEB)

    Ekerdt, J.G.

    1992-02-03

    This research program is directed toward a more fundamental understanding of the effects of catalyst composition and structure on the catalytic properties of metal oxides. Metal oxide catalysts play an important role in many reactions bearing on the chemical aspects of energy processes. Metal oxides are the catalysts for water-gas shift reactions, methanol and higher alcohol synthesis, isosynthesis, selective catalytic reduction of nitric oxides, and oxidation of hydrocarbons. A key limitation to developing insight into how oxides function in catalytic reactions is in not having precise information of the surface composition under reaction conditions. To address this problem we have prepared oxide systems that can be used to study cation-cation effects and the role of bridging (-O-) and/or terminal (=O) surface oxygen anion ligands in a systematic fashion. Since many oxide catalyst systems involve mixtures of oxides, we selected a model system that would permit us to examine the role of each cation separately and in pairwise combinations. Organometallic molybdenum and tungsten complexes were proposed for use, to prepare model systems consisting of isolated monomeric cations, isolated monometallic dimers and isolated bimetallic dimers supported on silica and alumina. The monometallic and bimetallic dimers were to be used as models of more complex mixed- oxide catalysts. Our current program was to develop the systems and use them in model oxidation reactions.

  12. Modeling Advance Life Support Systems

    Science.gov (United States)

    Pitts, Marvin; Sager, John; Loader, Coleen; Drysdale, Alan

    1996-01-01

    Activities this summer consisted of two projects that involved computer simulation of bioregenerative life support systems for space habitats. Students in the Space Life Science Training Program (SLSTP) used the simulation, space station, to learn about relationships between humans, fish, plants, and microorganisms in a closed environment. One student complete a six week project to modify the simulation by converting the microbes from anaerobic to aerobic, and then balancing the simulation's life support system. A detailed computer simulation of a closed lunar station using bioregenerative life support was attempted, but there was not enough known about system restraints and constants in plant growth, bioreactor design for space habitats and food preparation to develop an integrated model with any confidence. Instead of a completed detailed model with broad assumptions concerning the unknown system parameters, a framework for an integrated model was outlined and work begun on plant and bioreactor simulations. The NASA sponsors and the summer Fell were satisfied with the progress made during the 10 weeks, and we have planned future cooperative work.

  13. Implementing an interprofessional model of self-management support across a community workforce: A mixed-methods evaluation study.

    Science.gov (United States)

    Kulnik, Stefan Tino; Pöstges, Heide; Brimicombe, Lucinda; Hammond, John; Jones, Fiona

    2017-01-01

    The importance of implementing self-management support (SMS) is now widely accepted, but questions remain as to how. In 2015, we facilitated the implementation of an interprofessional model of SMS (Bridges Self-Management) for people with complex multiple long-term conditions through community rehabilitation and social care services in one Southeast England locality. Over 90 professionals and support workers from this workforce received interprofessional training to integrate SMS into their care and rehabilitation interactions. This gave an opportunity to explore how SMS can be implemented in practice. We conducted a mixed-methods study with unequal weighting (qualitative emphasis), concurrent timing, and embedded design. Staff provided written feedback and case reflections, participated in group discussions, and completed a survey of self-management beliefs and attitudes. We recruited a convenience sample of 10 service users and conducted qualitative interviews and standardised questionnaires. Findings showed that staff appreciated and benefited from the interprofessional learning environment. Staff reported changes in their interactions with service users and colleagues and had gained knowledge and confidence to support individuals to self-manage. Data also highlighted the need to facilitate SMS practice at the level of service organisation. Service user data illustrated the impact of interactions with staff, and how SMS had increased service users' confidence and encouraged different skills to manage life with their conditions. This project has shown how multi-agency community teams can benefit from interprofessional training to enhance SMS for people living with long-term conditions, build a shared understanding of SMS, and integrate effective SMS strategies into everyday practices.

  14. A Study of the Bilingual Instructional Support Component in New Instructional Model Schools. Prepared Pursuant to the Remedial Plan for Limited English Proficiency Asian Students. Report No. 9119.

    Science.gov (United States)

    Goodwin, Judy; And Others

    This study assessed the bilingual instructional support component in Philadelphia's (Pennsylvania) New Instructional Model schools in the 1990-91 school year. Focus was on the following topics: (1) the extent to which the bilingual instructional support component had been implemented in the 32 schools; (2) the appropriateness and quality of the…

  15. Curriculum Assessment Using Artificial Neural Network and Support Vector Machine Modeling Approaches: A Case Study. IR Applications. Volume 29

    Science.gov (United States)

    Chen, Chau-Kuang

    2010-01-01

    Artificial Neural Network (ANN) and Support Vector Machine (SVM) approaches have been on the cutting edge of science and technology for pattern recognition and data classification. In the ANN model, classification accuracy can be achieved by using the feed-forward of inputs, back-propagation of errors, and the adjustment of connection weights. In…

  16. Using ecosystem services in decision-making to support sustainable development: Critiques, model development, a case study, and perspectives.

    Science.gov (United States)

    Zagonari, Fabio

    2016-04-01

    In this paper, I propose a general, consistent, and operational approach that accounts for ecosystem services in a decision-making context: I link ecosystem services to sustainable development criteria; adopt multi-criteria analysis to measure ecosystem services, with weights provided by stakeholders used to account for equity issues; apply both temporal and spatial discount rates; and adopt a technique to order performance of the possible solutions based on their similarity to an ideal solution (TOPSIS) to account for uncertainty about the parameters and functions. Applying this approach in a case study of an offshore research platform in Italy (CNR Acqua Alta) revealed that decisions depend non-linearly on the degree of loss aversion, to a smaller extent on a global focus (as opposed to a local focus), and to the smallest extent on social concerns (as opposed to economic or environmental concerns). Application of the general model to the case study leads to the conclusion that the ecosystem services framework is likely to be less useful in supporting decisions than in identifying the crucial features on which decisions depend, unless experts from different disciplines are involved, stakeholders are represented, and experts and stakeholders achieve mutual understanding.

  17. Study on Military Equipment Support Modeling and Simulation%装备保障建模仿真研究

    Institute of Scientific and Technical Information of China (English)

    章文晋; 康锐; 郭霖翰; 李瑞莹

    2005-01-01

    In order to estimate the readiness, sustainability and support capability of the operational unit, an support simulation concept model of the military equipment is given as viewed from the system engineering modeling and simulation. Simulation test of military aircraft is analyzed in detail, it is composed of the operational mission, function maintenance process and resource modeling.%为了评价作战单元的战备完好性、持续作战能力和保障能力,根据系统工程的建模仿真思想提出了装备保障建模研究的仿真概念模型,并以军用飞机为例对装备保障仿真试验进行了分析,包括任务、功能、维修过程和资源利用建模过程等.

  18. Model study on the stability of carbon support materials under polymer electrolyte fuel cell cathode operation conditions

    Energy Technology Data Exchange (ETDEWEB)

    Colmenares, L.C.; Jusys, Z.; Behm, R.J. [Institute of Surface Chemistry and Catalysis, Ulm University, D-89069 Ulm (Germany); Wurth, A. [TS-IM-IM-CB Inorganic Materials, Evonik Degussa GmbH, D-50997 Cologne (Germany)

    2009-05-01

    The electrochemical oxidation and corrosion resistance of differently prepared and post-treated (graphitization, surface oxidation) carbon support materials, whose surface area and composition were characterized by adsorption measurements and X-ray photoelectron spectroscopy, were investigated in model studies performed under fuel cell cathode relevant potential conditions. These included also the abnormal cathode potentials (up to 1.5 V{sub RHE}) occurring during start-up and shut-down procedures. Reversible surface oxidation, leading, e.g., to the formation of quinones/hydroquinones, and irreversible oxidation to CO{sub 2} were discriminated by combining electrochemical and on-line mass spectrometry measurements. Oxygenated surface carbon species were found to affect the surface area normalized electrooxidation activity much more than the surface area and porosity of the material, with graphitized carbon with low porosity and low oxygen surface content being most resistant towards reversible oxidation and towards irreversible oxidation at high potentials. Trapped CO{sub 2}, formed upon carbon oxidation at high potentials, is proposed to be at least partly responsible for CO{sub 2} release at low potentials, below the standard potential for electrochemical carbon oxidation. (author)

  19. Strategies for Supporting Orphans and Vulnerable Children: An Exploratory Study of an Exemplary Model of Care in Kenya

    Science.gov (United States)

    Mears, Melynda; Singletary, Jon; Rogers, Rob

    2011-01-01

    This qualitative study explored the extent to which programs in a religiously affiliated agency in Kenya incorporate 12 internationally sanctioned strategies for supporting orphans and vulnerable children in Sub-Saharan Africa (Olson, Knight, & Foster, 2006). The results indicated that all 12 strategies were being employed, though to varying…

  20. Case-Studies of Decision Support Models for Collaboration in Tactical Mobile Environments / 12th ICCRTS, Adapting C2 to the 21st Century

    OpenAIRE

    Bordetsky, Alex; Friman, Henrik

    2007-01-01

    12th International Command and Control Research and Technology Symposium (ICCRTS), June 19-21, 2007 at the Naval War College, Newport, RI. The paper addresses experimental studies of decision support models for collaboration in tactical network-centric operations. This project, supported by partners from Lawrence Livermore National Laboratory (LLNL), US Special Operations Command (SOCOM), Swedish Armed Forces, Austria, and Singapore. Naval Postgraduate Schools (NPS) Tactical Ne...

  1. Evaluation of Empirical Data and Modeling Studies to Support Soil Vapor Intrusion Screening Criteria for Petroleum Hydrocarbon Compounds

    Science.gov (United States)

    This study is an evaluation of empirical data and select modeling studies of the behavior of petroleum hydrocarbon (PHC) vapors in subsurface soils and how they can affect subsurface-to-indoor air vapor intrusion (VI), henceforth referred to as petroleum vapor intrusion or “PVI” ...

  2. Mathematical models for planning support

    NARCIS (Netherlands)

    L.G. Kroon (Leo); R.A. Zuidwijk (Rob)

    2003-01-01

    textabstractIn this paper we describe how computer systems can provide planners with active planning support, when these planners are carrying out their daily planning activities. This means that computer systems actively participate in the planning process by automatically generating plans or parti

  3. Oyster Reefs Support Coastal Resilience by Altering Nearshore Salinity: An Observational and Modeling Study to Quantify a "Keystone" Ecosystem Service

    Science.gov (United States)

    Kaplan, D. A.; Olabarrieta, M.; Frederick, P.; Valle-Levinson, A.

    2016-12-01

    Oyster reefs provide myriad ecosystem services, including water quality improvement, fisheries and other faunal support, shoreline protection from erosion and storm surge, and economic productivity. However, their role in directing flow during non-storm conditions has been largely neglected. In regions where oyster reefs form near the mouth of estuarine rivers, they likely alter ocean-estuary exchange by acting as fresh water "dams". We hypothesize that these reefs have the potential to detain fresh water and influence salinity over extensive areas, thus providing a "keystone" ecosystem service by supporting estuarine functions that rely on the maintenance of estuarine (i.e., brackish) conditions in the near-shore environment. In this work, we investigated the effects of shore-parallel reefs on near-shore salinity using field data and hydrodynamic modeling in a degraded reef complex in Suwannee Sound (Florida, USA). Results suggested that freshwater detention by long linear chains of oyster reefs plays an important role in modulating salinities, not only in the oysters' local environment, but over extensive estuarine areas (tens of square kilometers). Field data confirmed the presence of salinity differences between landward and seaward sides of the reef, with long-term mean salinity differences of >30% between sides. Modeled results expanded experimental findings by illustrating how oyster reefs affect the lateral and offshore extent of freshwater influence. In general, the effects of simulated reefs were most pronounced when they were highest in elevation, without gaps, and when riverine discharge was low. Taken together, these results describe a poorly documented ecosystem service provided by oyster reefs; provide an estimate of the magnitude and spatial extent of this service; and offer quantitative information to help guide future oyster reef restoration.

  4. The center for epidemiologic studies depression scale: support for a bifactor model with a dominant general factor and a specific factor for positive affect.

    Science.gov (United States)

    Gomez, Rapson; McLaren, Suzanne

    2015-06-01

    For the Center for Epidemiologic Studies Depression Scale (CES-D) ratings, the study examined support for a bifactor model, and also the internal consistency reliability and external validity of the factors in this model. Participants (N = 1,178) were older adults from the general community who completed the CES-D. Confirmatory factor analysis of their ratings indicated support for the bifactor model. For this model, the general factor explained most of the covariance in the scores of the CES-D items for Depressed Affect, Somatic Symptoms and Retarded Activity, and Interpersonal Difficulties items. Most of the covariance in the scores of the Positive Affect (PA) scale was explained by its own specific factor. Additional analyses showed support for internal consistencies and external validities of general factors based on all the CES-D items, and when PA items were excluded, and also the PA-specific factor. The findings support the use of a total CES-D score without the PA items and also the concurrent use of the PA scale score. © The Author(s) 2014.

  5. An Integrated Software Framework to Support Semantic Modeling and Reasoning of Spatiotemporal Change of Geographical Objects: A Use Case of Land Use and Land Cover Change Study

    Directory of Open Access Journals (Sweden)

    Wenwen Li

    2016-09-01

    Full Text Available Evolving Earth observation and change detection techniques enable the automatic identification of Land Use and Land Cover Change (LULCC over a large extent from massive amounts of remote sensing data. It at the same time poses a major challenge in effective organization, representation and modeling of such information. This study proposes and implements an integrated computational framework to support the modeling, semantic and spatial reasoning of change information with regard to space, time and topology. We first proposed a conceptual model to formally represent the spatiotemporal variation of change data, which is essential knowledge to support various environmental and social studies, such as deforestation and urbanization studies. Then, a spatial ontology was created to encode these semantic spatiotemporal data in a machine-understandable format. Based on the knowledge defined in the ontology and related reasoning rules, a semantic platform was developed to support the semantic query and change trajectory reasoning of areas with LULCC. This semantic platform is innovative, as it integrates semantic and spatial reasoning into a coherent computational and operational software framework to support automated semantic analysis of time series data that can go beyond LULC datasets. In addition, this system scales well as the amount of data increases, validated by a number of experimental results. This work contributes significantly to both the geospatial Semantic Web and GIScience communities in terms of the establishment of the (web-based semantic platform for collaborative question answering and decision-making.

  6. A text-based data mining and toxicity prediction modeling system for a clinical decision support in radiation oncology: A preliminary study

    Science.gov (United States)

    Kim, Kwang Hyeon; Lee, Suk; Shim, Jang Bo; Chang, Kyung Hwan; Yang, Dae Sik; Yoon, Won Sup; Park, Young Je; Kim, Chul Yong; Cao, Yuan Jie

    2017-08-01

    The aim of this study is an integrated research for text-based data mining and toxicity prediction modeling system for clinical decision support system based on big data in radiation oncology as a preliminary research. The structured and unstructured data were prepared by treatment plans and the unstructured data were extracted by dose-volume data image pattern recognition of prostate cancer for research articles crawling through the internet. We modeled an artificial neural network to build a predictor model system for toxicity prediction of organs at risk. We used a text-based data mining approach to build the artificial neural network model for bladder and rectum complication predictions. The pattern recognition method was used to mine the unstructured toxicity data for dose-volume at the detection accuracy of 97.9%. The confusion matrix and training model of the neural network were achieved with 50 modeled plans (n = 50) for validation. The toxicity level was analyzed and the risk factors for 25% bladder, 50% bladder, 20% rectum, and 50% rectum were calculated by the artificial neural network algorithm. As a result, 32 plans could cause complication but 18 plans were designed as non-complication among 50 modeled plans. We integrated data mining and a toxicity modeling method for toxicity prediction using prostate cancer cases. It is shown that a preprocessing analysis using text-based data mining and prediction modeling can be expanded to personalized patient treatment decision support based on big data.

  7. A Support Model for Students with Learning Disabilities in Higher Education : A Study at Landmark College in the United States

    OpenAIRE

    片岡, 美華; KATAOKA, Mika

    2008-01-01

    Landmark College specializes in students with learning disabilities and/or attention deficit hyperactivity disorders. The college provides support for students both in their academic learning and social life by specialist staff. This support includes help with reading and learning and guidance on how to complete assignments, choose themes, plan research and review literature. This support is structured and run by the Academic advisors and Coaching staff in the college. In addition, the Reside...

  8. Clinical Productivity System - A Decision Support Model

    CERN Document Server

    Bennett, Casey C

    2012-01-01

    Purpose: This goal of this study was to evaluate the effects of a data-driven clinical productivity system that leverages Electronic Health Record (EHR) data to provide productivity decision support functionality in a real-world clinical setting. The system was implemented for a large behavioral health care provider seeing over 75,000 distinct clients a year. Design/methodology/approach: The key metric in this system is a "VPU", which simultaneously optimizes multiple aspects of clinical care. The resulting mathematical value of clinical productivity was hypothesized to tightly link the organization's performance to its expectations and, through transparency and decision support tools at the clinician level, affect significant changes in productivity, quality, and consistency relative to traditional models of clinical productivity. Findings: In only 3 months, every single variable integrated into the VPU system showed significant improvement, including a 30% rise in revenue, 10% rise in clinical percentage, a...

  9. Lunar Outpost Life Support Trade Studies

    Science.gov (United States)

    Lange, Kevin E.; Anderson, Molly S.; Ewert, Michael K.; Barta, Daniel J.

    2008-01-01

    Engineering trade-off studies of life support system architecture and technology options were conducted for potential lunar surface mission scenarios within NASA's Constellation Program. The scenarios investigated are based largely on results of the NASA Lunar Architecture Team (LAT) Phase II study. In particular, the possibility of Hosted Sortie missions, the high cost of power during eclipse periods, and the potential to reduce life support consumables through scavenging, in-situ resources, and alternative EVA technologies were all examined. These trade studies were performed within the Systems Integration, Modeling and Analysis (SIMA) element of NASA's Exploration Life Support (ELS) technology development project. The tools and methodology used in the study are described briefly, followed by a discussion of mission scenarios, life support technology options and results presented in terms of equivalent system mass for various regenerative life support technologies and architectures. Three classes of repeated or extended lunar surface missions were investigated in this study along with several life support resource scenarios for each mission class. Individual mission durations of 14 days, 90 days and 180 days were considered with 10 missions assumed for each at a rate of 2 missions per year. The 14-day missions represent a class of Hosted Sortie missions where a pre-deployed and potentially mobile habitat provides life support for multiple crews at one or more locations. The 90-day and 180-day missions represent lunar outpost expeditions with a larger fixed habitat. The 180-day missions assume continuous human presence and must provide life support through eclipse periods of up to 122 hours while the 90-day missions are planned for best-case periods of nearly continuous sunlight. This paper investigates system optimization within the assumptions of each scenario and addresses how the scenario selected drives the life support system to different designs

  10. Fluid Dynamic Modeling to Support the Development of Flow-based Hepatocyte Culture Systems for Metabolism Studies

    Directory of Open Access Journals (Sweden)

    Jenny M Pedersen

    2016-09-01

    Full Text Available Accurate prediction of metabolism is a significant outstanding challenge in toxicology. The best predictions are based on experimental data from in vitro systems using primary hepatocytes. The predictivity of the primary hepatocyte-based culture systems, however, is still limited due to well-known phenotypic instability and rapid decline of metabolic competence within a few hours. Dynamic flow bioreactors for three-dimensional cell cultures are thought to be better at recapitulating tissue microenvironments and show potential to improve in vivo extrapolations of chemical or drug toxicity based on in vitro test results. These more physiologically relevant culture systems hold potential for extending metabolic competence of primary hepatocyte cultures as well. In this investigation, we used computational fluid dynamics (CFD to determine the optimal design of a flow-based hepatocyte culture system for evaluating chemical metabolism in vitro. The main design goals were 1 minimization of shear stress experienced by the cells to maximize viability, 2 rapid establishment of a uniform distribution of test compound in the chamber, and 3 delivery of sufficient oxygen to cells to support aerobic respiration. Two commercially available flow devices — RealBio® (RB and QuasiVivo® (QV — and a custom developed fluidized bed (FB bioreactor were simulated, and turbulence, flow characteristics, test compound distribution, oxygen distribution, and cellular oxygen consumption were analyzed. Experimental results from the bioreactors were used to validate the simulation results.Our results indicate that maintaining adequate oxygen supply is the most important factor to the long-term viability of liver bioreactor cultures. Cell density and system flow patterns were the major determinants of local oxygen concentrations. The experimental results closely corresponded to the in silico predictions. Of the three bioreactors examined in this study, we were able

  11. Fluid Dynamic Modeling to Support the Development of Flow-Based Hepatocyte Culture Systems for Metabolism Studies

    Science.gov (United States)

    Pedersen, Jenny M.; Shim, Yoo-Sik; Hans, Vaibhav; Phillips, Martin B.; Macdonald, Jeffrey M.; Walker, Glenn; Andersen, Melvin E.; Clewell, Harvey J.; Yoon, Miyoung

    2016-01-01

    Accurate prediction of metabolism is a significant outstanding challenge in toxicology. The best predictions are based on experimental data from in vitro systems using primary hepatocytes. The predictivity of the primary hepatocyte-based culture systems, however, is still limited due to well-known phenotypic instability and rapid decline of metabolic competence within a few hours. Dynamic flow bioreactors for three-dimensional cell cultures are thought to be better at recapitulating tissue microenvironments and show potential to improve in vivo extrapolations of chemical or drug toxicity based on in vitro test results. These more physiologically relevant culture systems hold potential for extending metabolic competence of primary hepatocyte cultures as well. In this investigation, we used computational fluid dynamics to determine the optimal design of a flow-based hepatocyte culture system for evaluating chemical metabolism in vitro. The main design goals were (1) minimization of shear stress experienced by the cells to maximize viability, (2) rapid establishment of a uniform distribution of test compound in the chamber, and (3) delivery of sufficient oxygen to cells to support aerobic respiration. Two commercially available flow devices – RealBio® and QuasiVivo® (QV) – and a custom developed fluidized bed bioreactor were simulated, and turbulence, flow characteristics, test compound distribution, oxygen distribution, and cellular oxygen consumption were analyzed. Experimental results from the bioreactors were used to validate the simulation results. Our results indicate that maintaining adequate oxygen supply is the most important factor to the long-term viability of liver bioreactor cultures. Cell density and system flow patterns were the major determinants of local oxygen concentrations. The experimental results closely corresponded to the in silico predictions. Of the three bioreactors examined in this study, we were able to optimize the experimental

  12. Multiscale Modeling of Supported Lipid Bilayers

    Science.gov (United States)

    Hoopes, Matthew I.; Xing, Chenyue; Faller, Roland

    Cell membranes consist of a multitude of lipid molecules that serve as a framework for the even greater variety of membrane associated proteins [1-4]. As this highly complex (nonequilibrium) system cannot easily be understood and studied in a controlled way, a wide variety of model systems have been devised to understand the dynamics, structure, and thermodynamics in biological membranes. One such model system is a supported lipid bilayer (SLB), a two-dimensional membrane suspended on a surface. SLBs have been realized to be manageable experimentally while reproducing many of the key features of real biological membranes [5,6]. One of the main advantages of supported bilayers is the physical stability due to the solid support that enables a wide range of surface characterization techniques not available to free or unsupported membranes. As SLBs maintain some of the crucial structural and dynamic properties of biological membranes, they provide an important bridge to natural systems. In order to mimic cell membranes reliably, certain structural and dynamic features have to be reliably reproduced in the artificially constructed lipid bilayers. SLBs should display lateral mobility as in living cells, because many membrane activities involve transport, recruitment, or assembly of specific components. It is also critical for membranes to exhibit the correct thermodynamic phase, namely, a fluid lipid bilayer, to respond to environmental stress such as temperature and pressure changes [7]. There are several ways to fabricate supported lipid bilayers (SLBs) on planar substrates. One can use vesicle fusion on solid substrates [5,8-10] as well as Langmuir-Blodgett deposition [11,12]. Proteoliposome adsorption and subsequent membrane formation on a mica surface was first demonstrated by Brian and McConnell [13]. Because of its simplicity and reproducibility, this is one of the most common approaches to prepare supported membranes. A diverse range of different solid substrates

  13. Comparison of Highly Resolved Model-Based Exposure Metrics for Traffic-Related Air Pollutants to Support Environmental Health Studies

    Directory of Open Access Journals (Sweden)

    Shih Ying Chang

    2015-12-01

    Full Text Available Human exposure to air pollution in many studies is represented by ambient concentrations from space-time kriging of observed values. Space-time kriging techniques based on a limited number of ambient monitors may fail to capture the concentration from local sources. Further, because people spend more time indoors, using ambient concentration to represent exposure may cause error. To quantify the associated exposure error, we computed a series of six different hourly-based exposure metrics at 16,095 Census blocks of three Counties in North Carolina for CO, NOx, PM2.5, and elemental carbon (EC during 2012. These metrics include ambient background concentration from space-time ordinary kriging (STOK, ambient on-road concentration from the Research LINE source dispersion model (R-LINE, a hybrid concentration combining STOK and R-LINE, and their associated indoor concentrations from an indoor infiltration mass balance model. Using a hybrid-based indoor concentration as the standard, the comparison showed that outdoor STOK metrics yielded large error at both population (67% to 93% and individual level (average bias between −10% to 95%. For pollutants with significant contribution from on-road emission (EC and NOx, the on-road based indoor metric performs the best at the population level (error less than 52%. At the individual level, however, the STOK-based indoor concentration performs the best (average bias below 30%. For PM2.5, due to the relatively low contribution from on-road emission (7%, STOK-based indoor metric performs the best at both population (error below 40% and individual level (error below 25%. The results of the study will help future epidemiology studies to select appropriate exposure metric and reduce potential bias in exposure characterization.

  14. XML technologies for the Omaha System: a data model, a Java tool and several case studies supporting home healthcare.

    Science.gov (United States)

    Vittorini, Pierpaolo; Tarquinio, Antonietta; di Orio, Ferdinando

    2009-03-01

    The eXtensible markup language (XML) is a metalanguage which is useful to represent and exchange data between heterogeneous systems. XML may enable healthcare practitioners to document, monitor, evaluate, and archive medical information and services into distributed computer environments. Therefore, the most recent proposals on electronic health records (EHRs) are usually based on XML documents. Since none of the existing nomenclatures were specifically developed for use in automated clinical information systems, but were adapted to such use, numerous current EHRs are organized as a sequence of events, each represented through codes taken from international classification systems. In nursing, a hierarchically organized problem-solving approach is followed, which hardly couples with the sequential organization of such EHRs. Therefore, the paper presents an XML data model for the Omaha System taxonomy, which is one of the most important international nomenclatures used in the home healthcare nursing context. Such a data model represents the formal definition of EHRs specifically developed for nursing practice. Furthermore, the paper delineates a Java application prototype which is able to manage such documents, shows the possibility to transform such documents into readable web pages, and reports several case studies, one currently managed by the home care service of a Health Center in Central Italy.

  15. Examining the Support Peer Supporters Provide Using Structural Equation Modeling: Nondirective and Directive Support in Diabetes Management.

    Science.gov (United States)

    Kowitt, Sarah D; Ayala, Guadalupe X; Cherrington, Andrea L; Horton, Lucy A; Safford, Monika M; Soto, Sandra; Tang, Tricia S; Fisher, Edwin B

    2017-04-17

    Little research has examined the characteristics of peer support. Pertinent to such examination may be characteristics such as the distinction between nondirective support (accepting recipients' feelings and cooperative with their plans) and directive (prescribing "correct" choices and feelings). In a peer support program for individuals with diabetes, this study examined (a) whether the distinction between nondirective and directive support was reflected in participants' ratings of support provided by peer supporters and (b) how nondirective and directive support were related to depressive symptoms, diabetes distress, and Hemoglobin A1c (HbA1c). Three hundred fourteen participants with type 2 diabetes provided data on depressive symptoms, diabetes distress, and HbA1c before and after a diabetes management intervention delivered by peer supporters. At post-intervention, participants reported how the support provided by peer supporters was nondirective or directive. Confirmatory factor analysis (CFA), correlation analyses, and structural equation modeling examined the relationships among reports of nondirective and directive support, depressive symptoms, diabetes distress, and measured HbA1c. CFA confirmed the factor structure distinguishing between nondirective and directive support in participants' reports of support delivered by peer supporters. Controlling for demographic factors, baseline clinical values, and site, structural equation models indicated that at post-intervention, participants' reports of nondirective support were significantly associated with lower, while reports of directive support were significantly associated with greater depressive symptoms, altogether (with control variables) accounting for 51% of the variance in depressive symptoms. Peer supporters' nondirective support was associated with lower, but directive support was associated with greater depressive symptoms.

  16. Toward a model for field-testing patient decision-support technologies : a qualitative field-testing study

    NARCIS (Netherlands)

    Evans, R.; Elwyn, G.; Edwards, A.; Watson, E.; Austoker, J.; Grol, R.P.T.M.

    2007-01-01

    BACKGROUND: Field-testing is a quality assurance criterion in the development of patient decision-support technologies (PDSTs), as identified in the consensus statement of the International Patient Decision Aids Standards Collaboration. We incorporated field-testing into the development of a Web-bas

  17. Creating Locally-Resolved Mobile-Source Emissions Inputs for Air Quality Modeling in Support of an Exposure Study in Detroit, Michigan, USA

    Directory of Open Access Journals (Sweden)

    Michelle Snyder

    2014-12-01

    Full Text Available This work describes a methodology for modeling the impact of traffic-generated air pollutants in an urban area. This methodology presented here utilizes road network geometry, traffic volume, temporal allocation factors, fleet mixes, and emission factors to provide critical modeling inputs. These inputs, assembled from a variety of sources, are combined with meteorological inputs to generate link-based emissions for use in dispersion modeling to estimate pollutant concentration levels due to traffic. A case study implementing this methodology for a large health study is presented, including a sensitivity analysis of the modeling results reinforcing the importance of model inputs and identify those having greater relative impact, such as fleet mix. In addition, an example use of local measurements of fleet activity to supplement model inputs is described, and its impacts to the model outputs are discussed. We conclude that with detailed model inputs supported by local traffic measurements and meteorology, it is possible to capture the spatial and temporal patterns needed to accurately estimate exposure from traffic-related pollutants.

  18. Creating locally-resolved mobile-source emissions inputs for air quality modeling in support of an exposure study in Detroit, Michigan, USA.

    Science.gov (United States)

    Snyder, Michelle; Arunachalam, Saravanan; Isakov, Vlad; Talgo, Kevin; Naess, Brian; Valencia, Alejandro; Omary, Mohammad; Davis, Neil; Cook, Rich; Hanna, Adel

    2014-12-01

    This work describes a methodology for modeling the impact of traffic-generated air pollutants in an urban area. This methodology presented here utilizes road network geometry, traffic volume, temporal allocation factors, fleet mixes, and emission factors to provide critical modeling inputs. These inputs, assembled from a variety of sources, are combined with meteorological inputs to generate link-based emissions for use in dispersion modeling to estimate pollutant concentration levels due to traffic. A case study implementing this methodology for a large health study is presented, including a sensitivity analysis of the modeling results reinforcing the importance of model inputs and identify those having greater relative impact, such as fleet mix. In addition, an example use of local measurements of fleet activity to supplement model inputs is described, and its impacts to the model outputs are discussed. We conclude that with detailed model inputs supported by local traffic measurements and meteorology, it is possible to capture the spatial and temporal patterns needed to accurately estimate exposure from traffic-related pollutants.

  19. New models to support the professional education of health visitors: A qualitative study of the role of space and place in creating 'community of learning hubs'.

    Science.gov (United States)

    Donetto, Sara; Malone, Mary; Sayer, Lynn; Robert, Glenn

    2017-07-01

    In response to a policy-driven workforce expansion in England new models of preparing health visitors for practice have been implemented. 'Community of Learning hubs' (COLHs) are one such model, involving different possible approaches to student support in clinical practice placements (for example, 'long arm mentoring' or 'action learning set' sessions). Such models present opportunities for studying the possible effects of spatiality on the learning experiences of students and newly qualified health visitors, and on team relationships more broadly. To explore a 'community of learning hub' model in health visitor education and reflect on the role of space and place in the learning experience and professional identity development of student health visitors. Qualitative research conducted during first year of implementation. Three 'community of learning hub' projects based in two NHS community Trusts in London during the period 2013-2015. Managers and leads (n=7), practice teachers and mentors (n=6) and newly qualified and student health visitors (n=16). Semi-structured, audio-recorded interviews analysed thematically. Participants had differing views as to what constituted a 'hub' in their projects. Two themes emerged around the spaces that shape the learning experience of student and newly qualified health visitors. Firstly, a generalised need for a 'quiet place' which allows pause for reflection but also for sharing experiences and relieving common anxieties. Secondly, the role of physical arrangements in open-plan spaces to promote access to support from more experienced practitioners. Attention to spatiality can shed light on important aspects of teaching and learning practices, and on the professional identities these practices shape and support. New configurations of time and space as part of educational initiatives can surface new insights into existing practices and learning models. Copyright © 2017. Published by Elsevier Ltd.

  20. Global Urbanization Modeling Supported by Remote Sensing

    Science.gov (United States)

    Zhou, Y.; Smith, S.; Zhao, K.; Imhoff, M. L.; Thomson, A. M.; Bond-Lamberty, B. P.; Elvidge, C.

    2014-12-01

    Urbanization, one of the major human induced land cover and land use change, has profound impacts on the Earth system, and plays important roles in a variety of processes such as biodiversity loss, water and carbon cycle, and climate change. Accurate information on urban areas and their spatial distribution at the regional and global scales is important in both scientific and policy-making communities. The Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime stable light data (NTL) provide a potential way to map urban area and its dynamics economically and timely. In this study, we developed a cluster-based method to estimate the optimal thresholds and map urban extents from the DMSP/OLS NTL data. The sensitivity analysis demonstrates the robustness of the derived optimal thresholds and the reliability of the cluster-based method. Compared to existing threshold techniques, our method reduces the over- and under-estimation issue, when mapping urban extent over a large area. Using this cluster-based method, we built new global maps of 1-km urban extent from the NTL data (Figure 1) and evaluated its temporal dynamics from 1992 to 2013. Supported by the derived global urban maps and socio-economic drivers, we developed an integrated modeling framework by integrating a top-down macro-scale statistical model with a bottom-up urban growth model and projected future urban expansion.

  1. A two-stage support-vector-regression optimization model for municipal solid waste management - a case study of Beijing, China.

    Science.gov (United States)

    Dai, C; Li, Y P; Huang, G H

    2011-12-01

    In this study, a two-stage support-vector-regression optimization model (TSOM) is developed for the planning of municipal solid waste (MSW) management in the urban districts of Beijing, China. It represents a new effort to enhance the analysis accuracy in optimizing the MSW management system through coupling the support-vector-regression (SVR) model with an interval-parameter mixed integer linear programming (IMILP). The developed TSOM can not only predict the city's future waste generation amount, but also reflect dynamic, interactive, and uncertain characteristics of the MSW management system. Four kernel functions such as linear kernel, polynomial kernel, radial basis function, and multi-layer perception kernel are chosen based on three quantitative simulation performance criteria [i.e. prediction accuracy (PA), fitting accuracy (FA) and over all accuracy (OA)]. The SVR with polynomial kernel has accurate prediction performance for MSW generation rate, with all of the three quantitative simulation performance criteria being over 96%. Two cases are considered based on different waste management policies. The results are valuable for supporting the adjustment of the existing waste-allocation patterns to raise the city's waste diversion rate, as well as the capacity planning of waste management system to satisfy the city's increasing waste treatment/disposal demands.

  2. Survivin as a potential mediator to support autoreactive cell survival in myasthenia gravis: a human and animal model study.

    Directory of Open Access Journals (Sweden)

    Linda L Kusner

    Full Text Available The mechanisms that underlie the development and maintenance of autoimmunity in myasthenia gravis are poorly understood. In this investigation, we evaluate the role of survivin, a member of the inhibitor of apoptosis protein family, in humans and in two animal models. We identified survivin expression in cells with B lymphocyte and plasma cells markers, and in the thymuses of patients with myasthenia gravis. A portion of survivin-expressing cells specifically bound a peptide derived from the alpha subunit of acetylcholine receptor indicating that they recognize the peptide. Thymuses of patients with myasthenia gravis had large numbers of survivin-positive cells with fewer cells in the thymuses of corticosteroid-treated patients. Application of a survivin vaccination strategy in mouse and rat models of myasthenia gravis demonstrated improved motor assessment, a reduction in acetylcholine receptor specific autoantibodies, and a retention of acetylcholine receptor at the neuromuscular junction, associated with marked reduction of survivin-expressing circulating CD20+ cells. These data strongly suggest that survivin expression in cells with lymphocyte and plasma cell markers occurs in patients with myasthenia gravis and in two animal models of myasthenia gravis. Survivin expression may be part of a mechanism that inhibits the apoptosis of autoreactive B cells in myasthenia gravis and other autoimmune disorders.

  3. Survivin as a potential mediator to support autoreactive cell survival in myasthenia gravis: a human and animal model study.

    Science.gov (United States)

    Kusner, Linda L; Ciesielski, Michael J; Marx, Alexander; Kaminski, Henry J; Fenstermaker, Robert A

    2014-01-01

    The mechanisms that underlie the development and maintenance of autoimmunity in myasthenia gravis are poorly understood. In this investigation, we evaluate the role of survivin, a member of the inhibitor of apoptosis protein family, in humans and in two animal models. We identified survivin expression in cells with B lymphocyte and plasma cells markers, and in the thymuses of patients with myasthenia gravis. A portion of survivin-expressing cells specifically bound a peptide derived from the alpha subunit of acetylcholine receptor indicating that they recognize the peptide. Thymuses of patients with myasthenia gravis had large numbers of survivin-positive cells with fewer cells in the thymuses of corticosteroid-treated patients. Application of a survivin vaccination strategy in mouse and rat models of myasthenia gravis demonstrated improved motor assessment, a reduction in acetylcholine receptor specific autoantibodies, and a retention of acetylcholine receptor at the neuromuscular junction, associated with marked reduction of survivin-expressing circulating CD20+ cells. These data strongly suggest that survivin expression in cells with lymphocyte and plasma cell markers occurs in patients with myasthenia gravis and in two animal models of myasthenia gravis. Survivin expression may be part of a mechanism that inhibits the apoptosis of autoreactive B cells in myasthenia gravis and other autoimmune disorders.

  4. Linking Meteorology, Air Quality Models and Observations to Characterize Human Exposures in Support of the Environmental Health Studies

    Science.gov (United States)

    Epidemiologic studies are critical in establishing the association between exposure to air pollutants and adverse health effects. Results of epidemiologic studies are used by U.S. EPA in developing air quality standards to protect the public from the health effects of air polluta...

  5. Understanding how social enterprises can benefit from supportive legal frameworks : a case study report on social enterpreneurial models in Greece

    NARCIS (Netherlands)

    Argyrou, A.a; Blomme, R.J.; Lambooy, T.E.; Kievit, H.

    2016-01-01

    This study aims to test how legal factors affect the corporate structure of a social enterprise. The current article focuses on the legal factor of governance as the decision-making power of stakeholders within the social enterprise. The authors conducted a case study and examined a major social

  6. MOSE: a feasibility study for optical turbulence forecast with the Meso-Nh mesoscale model to support AO facilities at ESO sites (Paranal and Armazones)

    Science.gov (United States)

    Masciadri, Elena; Lascaux, Franck

    2012-07-01

    We present very encouraging preliminary results obtained in the context of the MOSE project, an on-going study aiming at investigating the feasibility of the forecast of the optical turbulence and meteorological parameters (in the free atmosphere as well as in the boundary and surface layer) at Cerro Paranal (site of the Very Large Telescope - VLT) and Cerro Armazones (site of the European Extremely Large Telescope - E-ELT), both in Chile. The study employs the Meso-Nh atmospheric mesoscale model and aims at supplying a tool for optical turbulence forecasts to support the scheduling of the scientific programs and the use of AO facilities at the VLT and the E-ELT. In this study we take advantage of the huge amount of measurements performed so far at Paranal and Armazones by ESO and the TMT consortium in the context of the site selection for the E-ELT and the TMT to constraint / validate the model. A detailed analysis of the model performances in reproducing the atmospheric parameters (T, V, p, H, ...) near the ground as well as in the free atmosphere, is critical and fundamental because the optical turbulence depends on most of these parameters. This approach permits us to provide an exhaustive and complete analysis of the model performances and to better define the model operational application. This also helps us to identify the sources of discrepancies with optical turbulence measurements (when they appear) and to discriminate between different origins of the problem: model parameterization, initial conditions, ... Preliminary results indicate a great accuracy of the model in reproducing most of the main meteorological parameters in statistical terms as well as in each individual night in the free atmosphere and in proximity of the surface. The study is co-funded by ESO and INAF-Arcetri (Italy).

  7. Experimental evidence and modeling studies support a synchronizing role for electrical coupling in the cat thalamic reticular neurons in vivo

    Science.gov (United States)

    Fuentealba, Pablo; Crochet, Sylvain; Timofeev, Igor; Bazhenov, Maxim; Sejnowski, Terrence J.; Steriade, Mircea

    2010-01-01

    Thalamic reticular (RE) neurons are crucially implicated in brain rhythms. Here, we report that RE neurons of adult cats, recorded and stained intracellularly in vivo, displayed spontaneously occurring spikelets, which are characteristic of central neurons that are coupled electrotonically via gap junctions. Spikelets occurred spontaneously during spindles, an oscillation in which RE neurons play a leading role, as well as during interspindle lulls. They were significantly different from excitatory postsynaptic potentials and also distinct from fast prepotentials that are presumably dendritic spikes generated synaptically. Spikelets were strongly reduced by halothane, a blocker of gap junctions. Multi-site extracellular recordings performed before, during and after administration of halothane demonstrated a role for electrical coupling in the synchronization of spindling activity within the RE nucleus. Finally, computational models of RE neurons predicted that gap junctions between these neurons could mediate the spread of low-frequency activity at great distances. These experimental and modeling data suggest that electrotonic coupling within the RE nucleus plays an important role in the generation and synchronization of low-frequency (spindling) activities in the thalamus. PMID:15245484

  8. Academic Support through Information System : Srinivas Integrated Model

    OpenAIRE

    Aithal, Sreeramana; Kumar, Suresh

    2016-01-01

    As part of imparting quality higher education for undergraduate and post graduate students, Srinivas Institute of Management Studies (SIMS) developed an education service model for integrated academic support known as Srinivas Integrated Model. Backed by the presumption that knowledge is power and information is fundamental to knowledge building and knowledge sharing, this model is aimed to provide information support to students for improved academic performance. Information on the college a...

  9. APPLICATION Of MODEL PSP MANUAL AND SUPPORTED BY TOOL MARRIES IN A STUDY OF CASE OF BRAZILIAN PLANT OF SOFTWARE

    Directory of Open Access Journals (Sweden)

    Denis Ávila Montini

    2006-06-01

    Full Text Available In a context of continuous improvement of quality in software development’s projects, the PSP experimental process was applied to discipline some of the processes suggested by CMMI level 2 with two different strategies. The first one consists of observing the behavior of a software factory on collecting the necessary data to assist the PSP model manually, and in the second one the collecting happened with the help of a CASE tool. The results show the impacts in the performance and in the quality patterns that the two strategies provided with their advantages and their vulnerabilities. In both cases the fulfillment of the stated periods was obtained from the moment where the specification and the course of the activities were controlled by the two PSP’ strategies suggested. Key words: CMMI, PSP, CASE, Factory, Improvement of processes.

  10. Support vector machine applied in QSAR modelling

    Institute of Scientific and Technical Information of China (English)

    MEI Hu; ZHOU Yuan; LIANG Guizhao; LI Zhiliang

    2005-01-01

    Support vector machine (SVM), partial least squares (PLS), and Back-Propagation artificial neural network (ANN) were employed to establish QSAR models of 2 dipeptide datasets. In order to validate predictive capabilities on external dataset of the resulting models, both internal and external validations were performed. The division of dataset into both training and test sets was carried out by D-optimal design. The results showed that support vector machine (SVM) behaved well in both calibration and prediction. For the dataset of 48 bitter tasting dipeptides (BTD), the results obtained by support vector regression (SVR) were superior to that by PLS in both calibration and prediction. When compared with BP artificial neural network, SVR showed less calibration power but more predictive capability. For the dataset of angiotensin-converting enzyme (ACE) inhibitors, the results obtained by support vector machine (SVM) regression were equivalent to those by PLS and BP artificial neural network. In both datasets, SVR using linear kernel function behaved well as that using radial basis kernel function. The results showed that there is wide prospect for the application of support vector machine (SVM) into QSAR modeling.

  11. A Study of the Cognitive Diffusion Model: Facilitating Students' High Level Cognitive Processes with Authentic Support

    Science.gov (United States)

    Huang, Yueh-Min; Shadiev, Rustam; Sun, Ai; Hwang, Wu-Yuin; Liu, Tzu-Yu

    2017-01-01

    For this study the researchers designed learning activities to enhance students' high level cognitive processes. Students learned new information in a classroom setting and then applied and analyzed their new knowledge in familiar authentic contexts by taking pictures of objects found there, describing them, and sharing their homework with peers.…

  12. Towards better modelling and decision support

    DEFF Research Database (Denmark)

    Meli, Mattia; Grimm, V; Augusiak, J.

    2014-01-01

    The potential of ecological models for supporting environmental decision making is increasingly acknowledged. However, it often remains unclear whether a model is realistic and reliable enough. Good practice for developing and testing ecological models has not yet been established. Therefore, TRACE......, thereby also linking modellers and model users, for example stakeholders, decision makers, and developers of policies. We report on first experiences in producing TRACE documents. We found that the original idea underlying TRACE was valid, but to make its use more coherent and efficient, an update of its......, a general framework for documenting a model's rationale, design, and testing was recently suggested. Originally TRACE was aimed at documenting good modelling practice. However, the word 'documentation' does not convey TRACE's urgency. Therefore, we re-define TRACE as a tool for planning, performing...

  13. Towards better modelling and decision support

    DEFF Research Database (Denmark)

    Meli, Mattia; Grimm, V; Augusiak, J.;

    2014-01-01

    The potential of ecological models for supporting environmental decision making is increasingly acknowledged. However, it often remains unclear whether a model is realistic and reliable enough. Good practice for developing and testing ecological models has not yet been established. Therefore, TRACE......, thereby also linking modellers and model users, for example stakeholders, decision makers, and developers of policies. We report on first experiences in producing TRACE documents. We found that the original idea underlying TRACE was valid, but to make its use more coherent and efficient, an update of its......, a general framework for documenting a model's rationale, design, and testing was recently suggested. Originally TRACE was aimed at documenting good modelling practice. However, the word 'documentation' does not convey TRACE's urgency. Therefore, we re-define TRACE as a tool for planning, performing...

  14. [Follow-up studies and clinical evaluation of model cast dentures with periodontal and periodonto-gingival support].

    Science.gov (United States)

    Ebersbach, W; Lesche, M

    1977-11-01

    The authors examined 746 cast denture constructions with an average wearing time of 6 years to study the influence of cast denture constructions on caries increment. The mode of wear of the cast denture constructions had no influence on caries incidence, whereas effects exerted by the duration of wear and the presence of soft deposits could be detected. The evaluation of the functional performance of cast denture constructions showed that the clinical serviceability amounts to more than 8 years.

  15. An Optimization Model of Tunnel Support Parameters

    Directory of Open Access Journals (Sweden)

    Su Lijuan

    2015-05-01

    Full Text Available An optimization model was developed to obtain the ideal values of the primary support parameters of tunnels, which are wide-ranging in high-speed railway design codes when the surrounding rocks are at the III, IV, and V levels. First, several sets of experiments were designed and simulated using the FLAC3D software under an orthogonal experimental design. Six factors, namely, level of surrounding rock, buried depth of tunnel, lateral pressure coefficient, anchor spacing, anchor length, and shotcrete thickness, were considered. Second, a regression equation was generated by conducting a multiple linear regression analysis following the analysis of the simulation results. Finally, the optimization model of support parameters was obtained by solving the regression equation using the least squares method. In practical projects, the optimized values of support parameters could be obtained by integrating known parameters into the proposed model. In this work, the proposed model was verified on the basis of the Liuyang River Tunnel Project. Results show that the optimization model significantly reduces related costs. The proposed model can also be used as a reliable reference for other high-speed railway tunnels.

  16. MOSE: a feasibility study for optical turbulence forecasts with the Meso-Nh mesoscale model to support AO facilities at ESO sites (Paranal and Armazones)

    CERN Document Server

    Masciadri, E; 10.1117/12.925924

    2012-01-01

    We present very encouraging preliminary results obtained in the context of the MOSE project, an on-going study aiming at investigating the feasibility of the forecast of the optical turbulence and meteorological parameters (in the free atmosphere as well as in the boundary and surface layer) at Cerro Paranal (site of the Very Large Telescope - VLT) and Cerro Armazones (site of the European Extremely Large Telescope - E-ELT), both in Chile. The study employs the Meso-Nh atmospheric mesoscale model and aims at supplying a tool for optical turbulence forecasts to support the scheduling of the scientific programs and the use of AO facilities at the VLT and the E-ELT. In this study we take advantage of the huge amount of measurements performed so far at Paranal and Armazones by ESO and the TMT consortium in the context of the site selection for the E-ELT and the TMT to constraint/validate the model. A detailed analysis of the model performances in reproducing the atmospheric parameters (T, V, p, H, ...) near the g...

  17. Regional groundwater-flow model of the Lake Michigan Basin in support of Great Lakes Basin water availability and use studies

    Science.gov (United States)

    Feinstein, D.T.; Hunt, R.J.; Reeves, H.W.

    2010-01-01

    . Lastly, it describes several categories of limitations and discusses ways of extending the regional model to address issues at the local scale. Results of the simulations portray a regional groundwater-flow system that, over time, has largely maintained its natural predevelopment configuration but that locally has been strongly affected by well withdrawals. The quantity of rainfall in the Lake Michigan Basin and adjacent areas supports a dense surface-water network and recharge rates consistent with generally shallow water tables and predominantly shallow groundwater flow. At the regional scale, pumping has not caused major modifications of the shallow flow system, but it has resulted in decreases in base flow to streams and in direct discharge to Lake Michigan (about 2 percent of the groundwater discharged and about 0.5 cubic foot per second per mile of shoreline). On the other hand, well withdrawals have caused major reversals in regional flow patterns around pumping centers in deep, confined aquifers - most noticeably in the Cambrian-Ordovician aquifer system on the west side of Lake Michigan near the cities of Green Bay and Milwaukee in eastern Wisconsin, and around Chicago in northeastern Illinois, as well as in some shallow bedrock aquifers (for example, in the Marshall aquifer near Lansing, Mich.). The reversals in flow have been accompanied by large drawdowns with consequent local decrease in storage. On the west side of Lake Michigan, groundwater withdrawals have caused appreciable migration of the deep groundwater divides. Before the advent of pumping, the deep Lake Michigan groundwater-basin boundaries extended west of the Lake Michigan surface-water basin boundary, in some places by tens of miles. Over time, the pumping centers have replaced Lake Michigan as the regional sink for the deep flow system. The regional model is intended to support the framework pilot study of water availability and use for the Great Lakes Basin (Reeves, in press).

  18. Integrated logistic support studies using behavioral Monte Carlo simulation, supported by Generalized Stochastic Petri Nets

    Energy Technology Data Exchange (ETDEWEB)

    Garnier, Robert; Chevalier, Marcel [Schneider Electric (France)

    2000-07-01

    Studying large and complex industrial sites, requires more and more accuracy in modeling. In particular, when considering Spares, Maintenance and Repair / Replacement processes, determining optimal Integrated Logistic Support policies requires a high level modeling formalism, in order to make the model as close as possible to the real considered processes. Generally, numerical methods are used to process this kind of study. In this paper, we propose an alternate way to process optimal Integrated Logistic Support policy determination when dealing with large, complex and distributed multi-policies industrial sites. This method is based on the use of behavioral Monte Carlo simulation, supported by Generalized Stochastic Petri Nets. (author)

  19. Transonic Cascade Measurements to Support Analytical Modeling

    Science.gov (United States)

    2007-11-02

    RECEIVED JUL 0 12005 FINAL REPORT FOR: AFOSR GRANT F49260-02-1-0284 TRANSONIC CASCADE MEASUREMENTS TO SUPPORT ANALYTICAL MODELING Paul A. Durbin ...PAD); 650-723-1971 (JKE) durbin @vk.stanford.edu; eaton@vk.stanford.edu submitted to: Attn: Dr. John Schmisseur Air Force Office of Scientific Research...both spline and control points for subsequent wall shape definitions. An algebraic grid generator was used to generate the grid for the blade-wall

  20. Supporting observation campaigns with high resolution modeling

    Science.gov (United States)

    Klocke, Daniel; Brueck, Matthias; Voigt, Aiko

    2017-04-01

    High resolution simulation in support of measurement campaigns offers a promising and emerging way to create large-scale context for small-scale observations of clouds and precipitation processes. As these simulation include the coupling of measured small-scale processes with the circulation, they also help to integrate the research communities from modeling and observations and allow for detailed model evaluations against dedicated observations. In connection with the measurement campaign NARVAL (August 2016 and December 2013) simulations with a grid-spacing of 2.5 km for the tropical Atlantic region (9000x3300 km), with local refinement to 1.2 km for the western part of the domain, were performed using the icosahedral non-hydrostatic (ICON) general circulation model. These simulations are again used to drive large eddy resolving simulations with the same model for selected days in the high definition clouds and precipitation for advancing climate prediction (HD(CP)2) project. The simulations are presented with the focus on selected results showing the benefit for the scientific communities doing atmospheric measurements and numerical modeling of climate and weather. Additionally, an outlook will be given on how similar simulations will support the NAWDEX measurement campaign in the North Atlantic and AC3 measurement campaign in the Arctic.

  1. Support vector regression and artificial neural network models for stability indicating analysis of mebeverine hydrochloride and sulpiride mixtures in pharmaceutical preparation: a comparative study.

    Science.gov (United States)

    Naguib, Ibrahim A; Darwish, Hany W

    2012-02-01

    A comparison between support vector regression (SVR) and Artificial Neural Networks (ANNs) multivariate regression methods is established showing the underlying algorithm for each and making a comparison between them to indicate the inherent advantages and limitations. In this paper we compare SVR to ANN with and without variable selection procedure (genetic algorithm (GA)). To project the comparison in a sensible way, the methods are used for the stability indicating quantitative analysis of mixtures of mebeverine hydrochloride and sulpiride in binary mixtures as a case study in presence of their reported impurities and degradation products (summing up to 6 components) in raw materials and pharmaceutical dosage form via handling the UV spectral data. For proper analysis, a 6 factor 5 level experimental design was established resulting in a training set of 25 mixtures containing different ratios of the interfering species. An independent test set consisting of 5 mixtures was used to validate the prediction ability of the suggested models. The proposed methods (linear SVR (without GA) and linear GA-ANN) were successfully applied to the analysis of pharmaceutical tablets containing mebeverine hydrochloride and sulpiride mixtures. The results manifest the problem of nonlinearity and how models like the SVR and ANN can handle it. The methods indicate the ability of the mentioned multivariate calibration models to deconvolute the highly overlapped UV spectra of the 6 components' mixtures, yet using cheap and easy to handle instruments like the UV spectrophotometer.

  2. Enterprise Modelling supported by Manufacturing Systems Theory

    OpenAIRE

    MYKLEBUST, Odd

    2002-01-01

    There exist today a large number of enterprise models or enterprise modelling approaches. In a study of standards and project developed models there are two approaches: CIMOSA “The Open Systems Architecture for CIM” and GERAM, “Generalised Enterprise Reference Architecture”, which show a system orientation that can be further followed as interesting research topics for a system theory oriented approach for enterprise models. In the selection of system theories, manufacturing system theory...

  3. STS Case Study Development Support

    Science.gov (United States)

    Rosa de Jesus, Dan A.; Johnson, Grace K.

    2013-01-01

    The Shuttle Case Study Collection (SCSC) has been developed using lessons learned documented by NASA engineers, analysts, and contractors. The SCSC provides educators with a new tool to teach real-world engineering processes with the goal of providing unique educational materials that enhance critical thinking, decision-making and problem-solving skills. During this third phase of the project, responsibilities included: the revision of the Hyper Text Markup Language (HTML) source code to ensure all pages follow World Wide Web Consortium (W3C) standards, and the addition and edition of website content, including text, documents, and images. Basic HTML knowledge was required, as was basic knowledge of photo editing software, and training to learn how to use NASA's Content Management System for website design. The outcome of this project was its release to the public.

  4. Keratinocytes derived from chicken embryonic stem cells support Marek's disease virus infection: a highly differentiated cell model to study viral replication and morphogenesis.

    Science.gov (United States)

    Couteaudier, Mathilde; Courvoisier, Katia; Trapp-Fragnet, Laetitia; Denesvre, Caroline; Vautherot, Jean-François

    2016-01-07

    Marek's disease is a virus disease with worldwide distribution that causes major losses to poultry production. Vaccines against Marek's disease virus, an oncogenic alphaherpesvirus, reduce tumour formation but have no effect on virus shedding. Successful horizontal virus transmission is linked to the active viral replication in feather follicle epithelial cells of infected chickens, from which infectious viral particles are shed into the environment. The feather follicle epithelium is the sole tissue in which those infectious particles are produced and no in vitro cell-systems can support this highly efficient morphogenesis. We previously characterized embryonic stem-cell-derived keratinocytes, showing they display a marker-gene profile similar to skin keratinocytes, and therefore we tested their susceptibility to Marek's disease virus infection. We show herein that keratinocytes derived from chicken embryonic stem-cells are fully permissive to the replication of either non-pathogenic or pathogenic Marek's disease viruses. All viruses replicated on all three keratinocyte lines and kinetics of viral production as well as viral loads were similar to those obtained on primary cells. Morphogenesis studies were conducted on infected keratinocytes and on corneocytes, showing that all types of capsids/virions were present inside the cells, but extracellular viruses were absent. The keratinocyte lines are the first epithelial cell-line showing ectodermal specific markers supporting Marek's disease virus replication. In this in vitro model the replication lead to the production of cell-associated viral progeny. Further work will be devoted to the study of relationship between 3D differentiation of keratinocytes and Marek's disease virus replication.

  5. Data integration technologies to support integrated modelling

    NARCIS (Netherlands)

    Knapen, M.J.R.; Roosenschoon, O.R.; Lokers, R.M.; Janssen, S.J.C.; Randen, van Y.; Verweij, P.J.F.M.

    2013-01-01

    Over the recent years the scientific activities of our organisation in large research projects show a shifting priority from model integration to the integration of data itself. Our work in several large projects on integrated modelling for impact assessment studies has clearly shown the importance

  6. Data integration technologies to support integrated modelling

    NARCIS (Netherlands)

    Knapen, M.J.R.; Roosenschoon, O.R.; Lokers, R.M.; Janssen, S.J.C.; Randen, van Y.; Verweij, P.J.F.M.

    2013-01-01

    Over the recent years the scientific activities of our organisation in large research projects show a shifting priority from model integration to the integration of data itself. Our work in several large projects on integrated modelling for impact assessment studies has clearly shown the importance

  7. Proactive and Adaptive Decision Support Study (PDS)

    Science.gov (United States)

    2014-12-09

    will enable proactive analysis within the decision support layer to anticipate, request, compute , and pre-position information supporting the decision... Proactive and Adaptive Decision Support Study (PDS) Final Report CDRL: C001 CLIN: 0006 Contract Number: N00014-14-P-1187 Submitted...PAGES 19a. NAME OF RESPONSIBLE PERSON 19b. TELEPHONE NUMBER (Include area code) 12/09/2014 Final Report 28 Jul 2014 - 31 Dec 2014 Proactive and

  8. Simulation study supporting wastewater treatment plant upgrading.

    Science.gov (United States)

    Hvala, N; Vrecko, D; Burica, O; Strazar, M; Levstek, M

    2002-01-01

    The paper presents a study where upgrading of an existing wastewater treatment plant was supported by simulation. The aim of the work was to decide between two technologies to improve nitrogen removal: a conventional activated sludge process (ASP) and a moving bed biofilm reactor (MBBR). To perform simulations, the mathematical models of both processes were designed. The models were calibrated based on data from ASP and MBBR pilot plants operating in parallel on the existing plant. Only two kinetic parameters needed to be adjusted to represent the real plant behaviour. Steady-state analyses have shown a similar efficiency of both processes in relation to carbon removal, but improved performance of MBBR in relation to nitrogen removal. Better performance of MBBR can be expected especially at low temperatures. Simulations have not confirmed the expected less volume required for the MBBR process. Finally, the MBBR was chosen for plant upgrading. The developed process model will be further used to evaluate the final plant configuration and to optimise the plant operating parameters.

  9. Vibrations of a Simply Supported Beam with a Fractional Viscoelastic Material ModelSupports Movement Excitation

    Directory of Open Access Journals (Sweden)

    Jan Freundlich

    2013-01-01

    Full Text Available The paper presents vibration analysis of a simply supported beam with a fractional order viscoelastic material model. The Bernoulli-Euler beam model is considered. The beam is excited by the supports movement. The Riemann – Liouville fractional derivative of order 0 α ⩽ 1 is applied. In the first stage, the steady-state vibrations of the beam are analyzed and therefore the Riemann – Liouville fractional derivative with lower terminal at −∞ is assumed. This assumption simplifies solution of the fractional differential equations and enables us to directly obtain amplitude-frequency characteristics of the examined system. The characteristics are obtained for various values of fractional derivative of order α and values of the Voigt material model parameters. The studies show that the selection of appropriate damping coefficients and fractional derivative order of damping model enables us to fit more accurately dynamic characteristic of the beam in comparison with using integer order derivative damping model.

  10. "SERPS Up": Support, Engagement and Retention of Postgraduate Students--A Model of Postgraduate Support

    Science.gov (United States)

    Alston, Margaret; Allan, Julaine; Bell, Karen; Brown, Andy; Dowling, Jane; Hamilton, Pat; McKinnon, Jenny; McKinnon, Noela; Mitchell, Rol; Whittenbury, Kerri; Valentine, Bruce; Wicks, Alison; Williams, Rachael

    2005-01-01

    The federal government's 1999 White Paper Knowledge and Innovation: a policy statement on research and research training, notes concerns about retention and completion rates in doctoral studies programs in Australia. This paper outlines a model of higher education support developed at the Centre for Rural Social Research at Charles Sturt…

  11. Understanding Support - lessons from a case study

    Directory of Open Access Journals (Sweden)

    Chris Sauer

    1993-11-01

    Full Text Available Support from top management and others is agreed to be an important factor in information systems success and failure, but little is written about how it has its effect and how it might be managed to a project's advantage. A recently developed conceptual framework is described. It covers the nature and forms of support, the way support affects project outcomes, the bases on which support is provided, and the strategies by which support may be managed. The framework is used to analyse a case study in several stages. At the end of the analysis of each stage, the framework's utility is assessed in terms of its explanatory value and the practical advice it suggests. Areas for further research are identified.

  12. 联合后勤保障效能评价模型研究%Study on Efficacy Evaluation Model of Joint Logistical Support Operations

    Institute of Scientific and Technical Information of China (English)

    周庆忠; 田野; 熊彪

    2016-01-01

    为了解决分布动态联合后勤保障环境中多个保障决策者和保障实体处于“多对多”设定下协同交互,致使后勤保障受众多因素制约,调运计划生成难度加大这一问题,提出了基于Agent的联合后勤保障效能评价模型。从后勤保障军事和经济广义效能视角,对请领任务的保障实体,计算其保障调运效能,以便优化配置保障资源,为优化后勤保障调运计划提供量化决策依据。以联合作战后勤保障为仿真实例来验证模型的有效性,仿真结果表明该模型的研究对于快速实现联合后勤保障总体目标具有实际意义。%In this paper, in view of the problems existing in the dynamic joint logistical support environment, we proposed an agent-based joint logistical support efficacy evaluation model, from the perspective of military logistical support and general military utility, calculated the support scheduling efficacy of the task-demand support entities so as to optimize their resource allocation, and at the end, through a simulated example, demonstrated the practical significance of the model.

  13. Design Approaches to Support Preservice Teachers in Scientific Modeling

    Science.gov (United States)

    Kenyon, Lisa; Davis, Elizabeth A.; Hug, Barbara

    2011-02-01

    Engaging children in scientific practices is hard for beginning teachers. One such scientific practice with which beginning teachers may have limited experience is scientific modeling. We have iteratively designed preservice teacher learning experiences and materials intended to help teachers achieve learning goals associated with scientific modeling. Our work has taken place across multiple years at three university sites, with preservice teachers focused on early childhood, elementary, and middle school teaching. Based on results from our empirical studies supporting these design decisions, we discuss design features of our modeling instruction in each iteration. Our results suggest some successes in supporting preservice teachers in engaging students in modeling practice. We propose design principles that can guide science teacher educators in incorporating modeling in teacher education.

  14. IT-Supported Modeling, Analysis and Design of Supply Chains

    Science.gov (United States)

    Nienhaus, Jörg; Alard, Robert; Sennheiser, Andreas

    A common language is a prerequisite for analyzing and optimizing supply chains. Based on experiences with three case studies, this paper identifies the aspects of a supply chain that have to be mapped to take informed decisions on its operations. Current, integrated modeling approaches for supply chains, like the SCOR and the GSCM model, will be analyzed and an advanced approach will be defined. The resulting approach takes advantage of IT-support.

  15. Modeling PMESII Factors to Support Strategic Education

    Science.gov (United States)

    2008-06-11

    Government Friendly Faction Cuban Americans Support for Ruling Govt Support for Ruling Govt Havana Santiago de Cuba Camaguey Support for the ruling...distract from ongoing exercise cycle – Implement running start Scenario authors: pursue PMESII trial: notional educational Cuba scenario Several emerging...educational scenario – PMESII capability brief – JFCOM and USAWC had independent Cuba representations – Provided scenario documentation Iterative

  16. Overload prevention in model supports for wind tunnel model testing

    Directory of Open Access Journals (Sweden)

    Anton IVANOVICI

    2015-09-01

    Full Text Available Preventing overloads in wind tunnel model supports is crucial to the integrity of the tested system. Results can only be interpreted as valid if the model support, conventionally called a sting remains sufficiently rigid during testing. Modeling and preliminary calculation can only give an estimate of the sting’s behavior under known forces and moments but sometimes unpredictable, aerodynamically caused model behavior can cause large transient overloads that cannot be taken into account at the sting design phase. To ensure model integrity and data validity an analog fast protection circuit was designed and tested. A post-factum analysis was carried out to optimize the overload detection and a short discussion on aeroelastic phenomena is included to show why such a detector has to be very fast. The last refinement of the concept consists in a fast detector coupled with a slightly slower one to differentiate between transient overloads that decay in time and those that are the result of aeroelastic unwanted phenomena. The decision to stop or continue the test is therefore conservatively taken preserving data and model integrity while allowing normal startup loads and transients to manifest.

  17. Repulsive force support system feasibility study

    Science.gov (United States)

    Boom, R. W.; Abdelsalam, M. K.; Eyssa, Y. M.; Mcintosh, G. E.

    1987-01-01

    A new concept in magnetic levitation and control is introduced for levitation above a plane. A set of five vertical solenoid magnets mounted flush below the plane supports and controls the model in five degrees of freedom. The compact system of levitation coils is contained in a space 2.4 m (96 in) diameter by 1 m (40 in) deep with the top of the levitation system 0.9 m (36 in) below the center line of the suspended model. The levitated model has a permanent magnet core held in position by the five parallel superconductive solenoids symmetrically located in a circle. The control and positioning system continuously corrects for model position in five dimensions using computer current pulses superimposed on the levitation coil base currents. The conceptual designs include: superconductive and Nd-Fe-B permanent magnet model cores and levitation solenoids of either superconductive, cryoresistive, or room temperature windings.

  18. Study on Support Vector Machine model for determination of quasi-geoid%似大地水准面的支持向量机模型研究

    Institute of Scientific and Technical Information of China (English)

    郝伟涛; 郭向前; 米川

    2012-01-01

    Support Vector Machine ( SVM ) is a learning technique based on the structural risk minimization principle, and it is also a class of regression method with good generalization ability. Aiming at the determination of large area complex quasi-geoid, only depending on the CPS leveling data, this paper first introduced the principle of SVM briefly, then chose the parameters and built the quasi-geoid model. Through taking an example and comparing with the Neural Network model, the correctness and effectiveness of the SVM model were demonstrated finally.%支持向量机(SVM)是一种基于结构风险最小化原理的学习技术,也是一种新的具有较好泛化性能的回归方法.本文简要介绍了SVM原理,针对大面积复杂似大地水准面的确定问题,仅依据测区的GPS水准实测数据,利用SVM方法整体建模.通过工程实例并与神经网络模型进行对比,证实了SVM似大地水准面模型的可靠性.

  19. 支持复杂事件处理的业务流程建模研究%Study on business process modeling supporting complex event processing

    Institute of Scientific and Technical Information of China (English)

    王健; 董广智; 柳军飞

    2012-01-01

    现有的流程建模语言缺少对复杂事件的支持.通过对BPMN进行扩展,提出一种事件的分层方法来表达业务过程中的基本事件和复杂事件.在此基础上进一步提出CE-BPM建模方法,并给出其形式化定义和图形化表示,增加了复杂事件和复杂事件处理网关的图形表示.最后通过实例来说明用BPMN建模时遇到的问题以及如何用CE-BPM建模解决问题的.%Existing process modeling languages lack the support for complex events. By extending BPMN, an events hierarchical model is proposed to express basic events and complex events. Further, a modeling method-E-BPM is put forward, and its formal definition and graphical representation are provided, where complex events and complex event handling gateway graphics are added. Finally, an example of online shops is given to explain on how to use CE-BPM to solve the problems may be met when use BPMN.

  20. The Geodynamo: Models and supporting experiments

    Energy Technology Data Exchange (ETDEWEB)

    Mueller, U.; Stieglitz, R.

    2003-03-01

    The magnetic field is a characteristic feature of our planet Earth. It shelters the biosphere against particle radiation from the space and offers by its direction orientation to creatures. The question about its origin has challenged scientists to find sound explanations. Major progress has been achieved during the last two decades in developing dynamo models and performing corroborating laboratory experiments to explain convincingly the principle of the Earth magnetic field. The article reports some significant steps towards our present understanding of this subject and outlines in particular relevant experiments, which either substantiate crucial elements of self-excitation of magnetic fields or demonstrate dynamo action completely. The authors are aware that they have not addressed all aspects of geomagnetic studies; rather, they have selected the material from the huge amount of literature such as to motivate the recently growing interest in experimental dynamo research. (orig.)

  1. Addressing the multi-scale lapsus of landscape : multi-scale landscape process modelling to support sustainable land use : a case study for the Lower Guadalhorce valley South Spain

    NARCIS (Netherlands)

    Schoorl, J.M.

    2002-01-01

    "Addressing the Multi-scale Lapsus of Landscape" with the sub-title "Multi-scale landscape process modelling to support sustainable land use: A case study for the Lower Guadalhorce valley South Spain" focuses on the role of land

  2. Light Models of Civilian Support in Blue-Red Operations

    Science.gov (United States)

    2012-06-01

    Population 3 2 Civilian Support Social – Cognitive Constructs Perceptions Disposition Moral disengagement Personality Beliefs Grievance How is a...RELEASE Vulnerability Sacrifice Anger Commitment Model Civilian Support 4 3 Perceptions Disposition Moral disengagement Personality Beliefs Grievance • A

  3. Yolk-shell gold nanoparticles as model materials for support-effect studies in heterogeneous catalysis: Au, @C and Au, @ZrO2 for CO oxidation as an example.

    Science.gov (United States)

    Galeano, Carolina; Güttel, Robert; Paul, Michael; Arnal, Pablo; Lu, An-Hui; Schüth, Ferdi

    2011-07-18

    The use of nanostructured yolk-shell materials offers a way to discriminate support and particle-size effects for mechanistic studies in heterogeneous catalysis. Herein, gold yolk-shell materials have been synthesized and used as model catalysts for the investigation of support effects in CO oxidation. Carbon has been selected as catalytically inert support to study the intrinsic activity of the gold nanoparticles, and for comparison, zirconia has been used as oxidic support. Au, @C materials have been synthesized through nanocasting using two different nonporous-core@mesoporous-shell exotemplates: Au@SiO(2)@ZrO(2) and Au@SiO(2)@m-SiO(2). The catalytic activity of Au, @C with a gold core of about 14 nm has been evaluated and compared with Au, @ZrO(2) of the same gold core size. The strong positive effect of metal oxide as support material on the activity of gold has been proved. Additionally, size effects were investigated using carbon as support to determine only the contribution of the nanoparticle size on the catalytic activity of gold. Therefore, Au, @C with a gold core of about 7 nm was studied showing a less pronounced positive effect on the activity than the metal oxide support effect.

  4. Twin support vector machines models, extensions and applications

    CERN Document Server

    Jayadeva; Chandra, Suresh

    2017-01-01

    This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.

  5. Modeling uncertainty in requirements engineering decision support

    Science.gov (United States)

    Feather, Martin S.; Maynard-Zhang, Pedrito; Kiper, James D.

    2005-01-01

    One inherent characteristic of requrements engineering is a lack of certainty during this early phase of a project. Nevertheless, decisions about requirements must be made in spite of this uncertainty. Here we describe the context in which we are exploring this, and some initial work to support elicitation of uncertain requirements, and to deal with the combination of such information from multiple stakeholders.

  6. Modeling uncertainty in requirements engineering decision support

    Science.gov (United States)

    Feather, Martin S.; Maynard-Zhang, Pedrito; Kiper, James D.

    2005-01-01

    One inherent characteristic of requrements engineering is a lack of certainty during this early phase of a project. Nevertheless, decisions about requirements must be made in spite of this uncertainty. Here we describe the context in which we are exploring this, and some initial work to support elicitation of uncertain requirements, and to deal with the combination of such information from multiple stakeholders.

  7. Cognitive model supported tactical training simulation

    NARCIS (Netherlands)

    Doesburg, W.A. van; Bosch, K. van den

    2005-01-01

    Simulation-based tactical training can be made more effective by using cognitive software agents to play key roles (e.g. team mate, adversaries, instructor). Due to the dynamic and complex nature of military tactics, it is hard to create agents that behave realistically and support the training lead

  8. Rhode Island Model Evaluation & Support System: Teacher. Edition III

    Science.gov (United States)

    Rhode Island Department of Education, 2015

    2015-01-01

    Rhode Island educators believe that implementing a fair, accurate, and meaningful educator evaluation and support system will help improve teaching and learning. The primary purpose of the Rhode Island Model Teacher Evaluation and Support System (Rhode Island Model) is to help all teachers improve. Through the Model, the goal is to help create a…

  9. Will more intensive forest harvesting for bioenergy cause unacceptable depletion of base cation pools - a modelling study using the Heureka decision support system

    Science.gov (United States)

    Futter, M. N.; Lucas, R. W.; Egnell, G.; Holmström, H.; Laudon, H.; Nilsson, U.; Oni, S. K.; Lämâs, T.

    2012-04-01

    Intensive forest harvesting has the potential to remove base cations (BC; Ca, K, Mg and Na) from ecosystems more rapidly than they can be replaced through mineral weathering. For this reason, whole tree harvesting (i.e. branches and needles harvested) for biofuel production in Sweden and elsewhere may not be ecologically sustainable. Under some circumstances, excessive BC removal may lead to re-acidification of soil and surface waters and a reduction of the growth potential in subsequent forest rotations. There is considerable uncertainty in all components of stand-scale BC mass balance estimates associated with forest harvests. Estimates of weathering rates from a single site can range over more than an order of magnitude, deposition estimates are often poorly constrained and tree element concentrations can show considerable variation. Despite these uncertainties, BC dynamics play a key role in forest management and planning. The Heureka decision support system has been developed in Sweden for multi-criteria analysis of forest management scenarios. Heureka can be used to estimate timber production and economic return under a series of user-specified constraints. Here, we present a model application based on Heureka, a database of tree element concentrations, published weathering rate estimates and long-term monitoring data to estimate BC budgets and their associated uncertainty under a series of forest harvest scenarios at the Strömsjöliden production park in northern Sweden. We evaluated BC budgets under four long term forest management scenarios associated with "business as usual", more intensive production, nature conservation and reindeer husbandry. Despite the large amount of uncertainty, a number of trends emerged. Nature conservation and reindeer husbandry scenarios were, in general, more sustainable than the other scenarios. Model results suggested that stem-only harvest could remove BC more rapidly than they could be replaced by weathering at some

  10. The Relationship between Social Anxiety and Social Support in Adolescents: A Test of Competing Causal Models

    Science.gov (United States)

    Calsyn, Robert J.; Winter, Joel P.; Burger, Gary K.

    2005-01-01

    This study compared the strength of competing causal models in explaining the relationship between perceived support, enacted support, and social anxiety in adolescents. The social causation hypothesis postulates that social support causes social anxiety, whereas the social selection hypothesis postulates that social anxiety causes social support.…

  11. Structural studies of supported tin catalysts

    Energy Technology Data Exchange (ETDEWEB)

    Nava, Noel [Instituto Mexicano del Petroleo, Gerencia de Catalizadores (Mexico); Viveros, Tomas [Universidad Autonoma Metropolitana-Iztapalapa, Area de Ingenieria Quimica (Mexico)

    1999-11-15

    Tin oxide was supported on aluminium oxide, titanium oxide, magnesium oxide and silicon oxide, and the resulting interactions between the components in the prepared samples and after reduction were characterized by Moessbauer spectroscopy. It was observed that in the oxide state, tin is present as SnO{sub 2} on alumina, magnesia and silica, but on titania tin occupies Ti sites in the structure. After hydrogen treatment at high temperatures, tin is reduced from Sn(4) to Sn(2) on alumina and titania; it is reduced from Sn(4) to Sn(0) on silica, and is practically not reduced on magnesia. These results reveal the degree of interaction between tin and the different supports studied.

  12. Information Service Model with Mobile Agent Supported

    Institute of Scientific and Technical Information of China (English)

    邹涛; 王继成; 张福炎

    2000-01-01

    Mobile Agent is a kind of novel agent technology characterized by mobile, intelligent, parallel and asynchronous computing. In this paper, a new information service model that adopts mobile agent technology is introduced first,and then an experimental system DOLTRIA system that is implemented based on the model is described. The DOLTRIA system implemented by WWW framework and Java can search for relevant HTML documents on a set of Web servers. The result of experiments shows that performance improvement can be achieved by this model, and both the elapsed time and network traffic are reduced significantly.

  13. Neighborhood Supported Model Level Fuzzy Aggregation for Moving Object Segmentation.

    Science.gov (United States)

    Chiranjeevi, Pojala; Sengupta, Somnath

    2014-02-01

    We propose a new algorithm for moving object detection in the presence of challenging dynamic background conditions. We use a set of fuzzy aggregated multifeature similarity measures applied on multiple models corresponding to multimodal backgrounds. The algorithm is enriched with a neighborhood-supported model initialization strategy for faster convergence. A model level fuzzy aggregation measure driven background model maintenance ensures more robustness. Similarity functions are evaluated between the corresponding elements of the current feature vector and the model feature vectors. Concepts from Sugeno and Choquet integrals are incorporated in our algorithm to compute fuzzy similarities from the ordered similarity function values for each model. Model updating and the foreground/background classification decision is based on the set of fuzzy integrals. Our proposed algorithm is shown to outperform other multi-model background subtraction algorithms. The proposed approach completely avoids explicit offline training to initialize background model and can be initialized with moving objects also. The feature space uses a combination of intensity and statistical texture features for better object localization and robustness. Our qualitative and quantitative studies illustrate the mitigation of varieties of challenging situations by our approach.

  14. An investigational study of minimum rotational pump speed to avoid retrograde flow in three centrifugal blood pumps in a pediatric extracorporeal life support model.

    Science.gov (United States)

    Clark, Joseph B; Guan, Yulong; McCoach, Robert; Kunselman, Allen R; Myers, John L; Undar, Akif

    2011-05-01

    During extracorporeal life support with centrifugal blood pumps, retrograde pump flow may occur when the pump revolutions decrease below a critical value determined by the circuit resistance and the characteristics of the pump. We created a laboratory model to evaluate the occurrence of retrograde flow in each of three centrifugal blood pumps: the Rotaflow, the CentriMag, and the Bio-Medicus BP-50. At simulated patient pressures of 60, 80, and 100 mmHg, each pump was evaluated at speeds from 1000 to 2200 rpm and flow rates were measured. Retrograde flow occurred at low revolution speeds in all three centrifugal pumps. The Bio-Medicus pump was the least likely to demonstrate retrograde flow at low speeds, followed by the Rotaflow pump. The CentriMag pump showed the earliest transition to retrograde flow, as well as the highest degree of retrograde flow. At every pump speed evaluated, the Bio-Medicus pump delivered the highest antegrade flow and the CentriMag pump delivered the least.

  15. On Support Functions for the Development of MFM Models

    DEFF Research Database (Denmark)

    Heussen, Kai; Lind, Morten

    2012-01-01

    a review of MFM applications, and contextualizes the model development with respect to process design and operation knowledge. Developing a perspective for an environment for MFM-oriented model- and application-development a tool-chain is outlined and relevant software functions are discussed....... With a perspective on MFM-modeling for existing processes and automation design, modeling stages and corresponding formal model properties are identified. Finally, practically feasible support functions and model-checks to support the model-development are suggested.......A modeling environment and methodology are necessary to ensure quality and reusability of models in any domain. For MFM in particular, as a tool for modeling complex systems, awareness has been increasing for this need. Introducing the context of modeling support functions, this paper provides...

  16. Support vector regression model for complex target RCS predicting

    Institute of Scientific and Technical Information of China (English)

    Wang Gu; Chen Weishi; Miao Jungang

    2009-01-01

    The electromagnetic scattering computation has developed rapidly for many years; some computing problems for complex and coated targets cannot be solved by using the existing theory and computing models. A computing model based on data is established for making up the insufficiency of theoretic models. Based on the "support vector regression method", which is formulated on the principle of minimizing a structural risk, a data model to predicate the unknown radar cross section of some appointed targets is given. Comparison between the actual data and the results of this predicting model based on support vector regression method proved that the support vector regression method is workable and with a comparative precision.

  17. Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: results of a modeling study to support better resource management

    Directory of Open Access Journals (Sweden)

    L. M. Mango

    2011-07-01

    are partitioned largely to increased evapotranspiration. Overall, model results support the existing efforts of Mara water resource managers to protect headwater forests and indicate that additional emphasis should be placed on improving land management practices that enhance infiltration and aquifer recharge as part of a wider program of climate change adaptation.

  18. Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: results of a modeling study to support better resource management

    Science.gov (United States)

    Mango, L. M.; Melesse, A. M.; McClain, M. E.; Gann, D.; Setegn, S. G.

    2011-07-01

    largely to increased evapotranspiration. Overall, model results support the existing efforts of Mara water resource managers to protect headwater forests and indicate that additional emphasis should be placed on improving land management practices that enhance infiltration and aquifer recharge as part of a wider program of climate change adaptation.

  19. Controlled Ecological Life Support System (CELSS) modeling

    Science.gov (United States)

    Drysdale, Alan; Thomas, Mark; Fresa, Mark; Wheeler, Ray

    1992-01-01

    Attention is given to CELSS, a critical technology for the Space Exploration Initiative. OCAM (object-oriented CELSS analysis and modeling) models carbon, hydrogen, and oxygen recycling. Multiple crops and plant types can be simulated. Resource recovery options from inedible biomass include leaching, enzyme treatment, aerobic digestion, and mushroom and fish growth. The benefit of using many small crops overlapping in time, instead of a single large crop, is demonstrated. Unanticipated results include startup transients which reduce the benefit of multiple small crops. The relative contributions of mass, energy, and manpower to system cost are analyzed in order to determine appropriate research directions.

  20. Assured Mission Support Space Architecture (AMSSA) study

    Science.gov (United States)

    Hamon, Rob

    1993-01-01

    The assured mission support space architecture (AMSSA) study was conducted with the overall goal of developing a long-term requirements-driven integrated space architecture to provide responsive and sustained space support to the combatant commands. Although derivation of an architecture was the focus of the study, there are three significant products from the effort. The first is a philosophy that defines the necessary attributes for the development and operation of space systems to ensure an integrated, interoperable architecture that, by design, provides a high degree of combat utility. The second is the architecture itself; based on an interoperable system-of-systems strategy, it reflects a long-range goal for space that will evolve as user requirements adapt to a changing world environment. The third product is the framework of a process that, when fully developed, will provide essential information to key decision makers for space systems acquisition in order to achieve the AMSSA goal. It is a categorical imperative that military space planners develop space systems that will act as true force multipliers. AMSSA provides the philosophy, process, and architecture that, when integrated with the DOD requirements and acquisition procedures, can yield an assured mission support capability from space to the combatant commanders. An important feature of the AMSSA initiative is the participation by every organization that has a role or interest in space systems development and operation. With continued community involvement, the concept of the AMSSA will become a reality. In summary, AMSSA offers a better way to think about space (philosophy) that can lead to the effective utilization of limited resources (process) with an infrastructure designed to meet the future space needs (architecture) of our combat forces.

  1. Assured Mission Support Space Architecture (AMSSA) study

    Science.gov (United States)

    Hamon, Rob

    1993-01-01

    The assured mission support space architecture (AMSSA) study was conducted with the overall goal of developing a long-term requirements-driven integrated space architecture to provide responsive and sustained space support to the combatant commands. Although derivation of an architecture was the focus of the study, there are three significant products from the effort. The first is a philosophy that defines the necessary attributes for the development and operation of space systems to ensure an integrated, interoperable architecture that, by design, provides a high degree of combat utility. The second is the architecture itself; based on an interoperable system-of-systems strategy, it reflects a long-range goal for space that will evolve as user requirements adapt to a changing world environment. The third product is the framework of a process that, when fully developed, will provide essential information to key decision makers for space systems acquisition in order to achieve the AMSSA goal. It is a categorical imperative that military space planners develop space systems that will act as true force multipliers. AMSSA provides the philosophy, process, and architecture that, when integrated with the DOD requirements and acquisition procedures, can yield an assured mission support capability from space to the combatant commanders. An important feature of the AMSSA initiative is the participation by every organization that has a role or interest in space systems development and operation. With continued community involvement, the concept of the AMSSA will become a reality. In summary, AMSSA offers a better way to think about space (philosophy) that can lead to the effective utilization of limited resources (process) with an infrastructure designed to meet the future space needs (architecture) of our combat forces.

  2. Decision Support System for Resource Allocation Model

    Science.gov (United States)

    1989-04-01

    by Presutti and Trepp in their paper "Much Ado about EOQ." [2) The constraints used in the stock fund model are total stock fund dollars and limits on...Jersey, 1963. 2. Presutti, Victor J., Jr. and Trepp , Richard C., More Ado About Economic Order Ouantities (EOO), Operations Analysis Office

  3. Rhode Island Model Evaluation & Support System: Building Administrator. Edition III

    Science.gov (United States)

    Rhode Island Department of Education, 2015

    2015-01-01

    Rhode Island educators believe that implementing a fair, accurate, and meaningful educator evaluation and support system will help improve teaching, learning, and school leadership. The primary purpose of the Rhode Island Model Building Administrator Evaluation and Support System (Rhode Island Model) is to help all building administrators improve.…

  4. Invention software support by integrating function and mathematical modeling

    NARCIS (Netherlands)

    Chechurin, L.S.; Wits, Wessel Willems; Bakker, H.M.

    2015-01-01

    New idea generation is imperative for successful product innovation and technology development. This paper presents the development of a novel type of invention support software. The support tool integrates both function modeling and mathematical modeling, thereby enabling quantitative analyses on a

  5. Invention software support by integrating function and mathematical modeling

    NARCIS (Netherlands)

    Chechurin, L.S.; Wits, W.W.; Bakker, H.M.

    2015-01-01

    New idea generation is imperative for successful product innovation and technology development. This paper presents the development of a novel type of invention support software. The support tool integrates both function modeling and mathematical modeling, thereby enabling quantitative analyses on a

  6. Key Elements of the Tutorial Support Management Model

    Science.gov (United States)

    Lynch, Grace; Paasuke, Philip

    2011-01-01

    In response to an exponential growth in enrolments the "Tutorial Support Management" (TSM) model has been adopted by Open Universities Australia (OUA) after a two-year project on the provision of online tutor support in first year, online undergraduate units. The essential focus of the TSM model was the development of a systemic approach…

  7. A Computing Infrastructure for Supporting Climate Studies

    Science.gov (United States)

    Yang, C.; Bambacus, M.; Freeman, S. M.; Huang, Q.; Li, J.; Sun, M.; Xu, C.; Wojcik, G. S.; Cahalan, R. F.; NASA Climate @ Home Project Team

    2011-12-01

    Climate change is one of the major challenges facing us on the Earth planet in the 21st century. Scientists build many models to simulate the past and predict the climate change for the next decades or century. Most of the models are at a low resolution with some targeting high resolution in linkage to practical climate change preparedness. To calibrate and validate the models, millions of model runs are needed to find the best simulation and configuration. This paper introduces the NASA effort on Climate@Home project to build a supercomputer based-on advanced computing technologies, such as cloud computing, grid computing, and others. Climate@Home computing infrastructure includes several aspects: 1) a cloud computing platform is utilized to manage the potential spike access to the centralized components, such as grid computing server for dispatching and collecting models runs results; 2) a grid computing engine is developed based on MapReduce to dispatch models, model configuration, and collect simulation results and contributing statistics; 3) a portal serves as the entry point for the project to provide the management, sharing, and data exploration for end users; 4) scientists can access customized tools to configure model runs and visualize model results; 5) the public can access twitter and facebook to get the latest about the project. This paper will introduce the latest progress of the project and demonstrate the operational system during the AGU fall meeting. It will also discuss how this technology can become a trailblazer for other climate studies and relevant sciences. It will share how the challenges in computation and software integration were solved.

  8. Modeling and simulation approach to support dosing and study design requirements for treating HIV-related neuropsychiatric disease with the NK1-R antagonist aprepitant.

    Science.gov (United States)

    Barrett, Jeffrey S; Bajaj, Gaurav; McGuire, Jennifer; Wu, Di; Spitsin, Sergei; Moorthy, Ganesh; Zhao, Xianguo; Tebas, Pablo; Evans, Dwight L; Douglas, Steven D

    2014-01-01

    Psychiatric illness is common in HIV-infected patients and underlines the importance for screening not only for cognitive impairment but also for co-morbid mental disease. The rationale for combining immunomodulatory neurokinin- 1 receptor (NK1-R) antagonists with combined antiretroviral therapy (cART) is based on multimodal pharmacologic mechanisms. The NK1-R antagonist aprepitant's potential utility as a drug for depression is complicated by >99.9% protein binding and both enzyme inhibition and induction of CYP3A4. A population-based PK model developed from a pilot Phase 1B trial in 19 HIV-infected patients (125 or 250 mg/d aprepitant for 2 weeks) was modified to account for enzyme induction and impact of an exposure enhancer on CYP3A4 metabolism. Likelihood of clinical success in depression was assessed based on achievement of target trough plasma concentration and evaluated using Monte Carlo simulation. Scenarios were generated for varying daily dose (375, 625, 750 and 875 mg), pharmacokinetic variability, exposure enhancement (EE), duration (2 and 6 months) and sample size (n=12 and 24/arm). Daily dosing of ≥ 625 mg with EE yielded desirable troughs (based on in vitro infectivity experiments) of > 2.65 ug/mL for the majority of virtual patients simulated. Results are dependent on the degree of exposure enhancement and extent of enzyme induction. Actual threshold exposure requirements for aprepitant in HIV-associated depression are unknown though preclinical evidence supports trough levels > 2.65 ug/mL. If 100% NK1r blockage is necessary for efficacy, doses of 875 mg (625 mg with EE) or higher may be required. The benefit of aprepitant on innate immunity(natural killer cells) and absence of negative effects onex vivo neutrophil chemotaxis alleviates concerns regarding drug dependent inhibition (DDI)-mediated infection risk.

  9. Clinically Relevant Subsets Identified by Gene Expression Patterns Support a Revised Ontogenic Model of Wilms Tumor: A Children's Oncology Group Study

    Directory of Open Access Journals (Sweden)

    Samantha Gadd

    2012-08-01

    Full Text Available Wilms tumors (WT have provided broad insights into the interface between development and tumorigenesis. Further understanding is confounded by their genetic, histologic, and clinical heterogeneity, the basis of which remains largely unknown. We evaluated 224 WT for global gene expression patterns; WT1, CTNNB1, and WTX mutation; and 11p15 copy number and methylation patterns. Five subsets were identified showing distinct differences in their pathologic and clinical features: these findings were validated in 100 additional WT. The gene expression pattern of each subset was compared with published gene expression profiles during normal renal development. A novel subset of epithelial WT in infants lacked WT1, CTNNB1, and WTX mutations and nephrogenic rests and displayed a gene expression pattern of the postinduction nephron, and none recurred. Three subsets were characterized by a low expression of WT1 and intralobar nephrogenic rests. These differed in their frequency of WT1 and CTNNB1 mutations, in their age, in their relapse rate, and in their expression similarities with the intermediate mesoderm versus the metanephric mesenchyme. The largest subset was characterized by biallelic methylation of the imprint control region 1, a gene expression profile of the metanephric mesenchyme, and both interlunar and perilobar nephrogenic rests. These data provide a biologic explanation for the clinical and pathologic heterogeneity seen within WT and enable the future development of subset-specific therapeutic strategies. Further, these data support a revision of the current model of WT ontogeny, which allows for an interplay between the type of initiating event and the developmental stage in which it occurs.

  10. A Transaction Management Model Supporting Service Grids

    Institute of Scientific and Technical Information of China (English)

    CHEN Xiang-yu; SHEN De-rong; YU Ge; LI Rui; ZHANG Xiao

    2004-01-01

    Service grids possess the features of intelligence and automation to compose heterogeneous resources and will be a commercial focus in network economy pattern.However, service grid business is loosely-coupled, distributed and long-running, so there is a real challenge for the researchers to provide consistency and reliability for service grid business.This paper references the transaction management methods in Web service and the safepoint concept in workflow system, combines with the feature of the service grid, and then presents a transaction management model based on service grid.This model guarantees the robustness of grid service composition and assures that service grid enabling system provides consistent and reliable results for the consumers.

  11. Roles of University Support for International Students in the United States: Analysis of a Systematic Model of University Identification, University Support, and Psychological Well-Being

    Science.gov (United States)

    Cho, Jaehee; Yu, Hongsik

    2015-01-01

    Unlike previous research on international students' social support, this current study applied the concept of organizational support to university contexts, examining the effects of university support. Mainly based on the social identity/self-categorization stress model, this study developed and tested a path model composed of four key…

  12. Roles of University Support for International Students in the United States: Analysis of a Systematic Model of University Identification, University Support, and Psychological Well-Being

    Science.gov (United States)

    Cho, Jaehee; Yu, Hongsik

    2015-01-01

    Unlike previous research on international students' social support, this current study applied the concept of organizational support to university contexts, examining the effects of university support. Mainly based on the social identity/self-categorization stress model, this study developed and tested a path model composed of four key…

  13. General KBE model with inheritance and multi CAD support

    Science.gov (United States)

    Tiuca, T. L.; Rusu, C.; Noveanu, S.; Mandru, D.

    2016-08-01

    Knowledge-Based Engineering (KBE) is a research field that studies methodologies and technologies for capture and re-use engineering knowledge. The primary objective of KBE is to reduce time and cost of product research processes and/or product development, which is primarily achieved through automation of repetitive design tasks while capturing, retaining and re-using engineering knowledge. Every CAD System includes KBE Tools. The power of these tools is incremented by the use of external high level programming language. The model presented in this paper has the aim to reduce times and costs of particular KBE Models development, by programming inheritance concepts and also the multi CAD Support. The model is implemented through a C# application that is also presented.

  14. Using self-made drawings to support modelling in science education

    NARCIS (Netherlands)

    Leenaars, F.A.J.; Joolingen, van W.R.; Bollen, L.

    2013-01-01

    The value of modelling in science education is evident, both from scientific practice and from theories of learning. However, students find modelling difficult and need support. This study investigates how self-made drawings could be used to support the modelling process. An experiment with undergra

  15. A Linear Programming Model to Optimize Various Objective Functions of a Foundation Type State Support Program.

    Science.gov (United States)

    Matzke, Orville R.

    The purpose of this study was to formulate a linear programming model to simulate a foundation type support program and to apply this model to a state support program for the public elementary and secondary school districts in the State of Iowa. The model was successful in producing optimal solutions to five objective functions proposed for…

  16. Emulation Modeling with Bayesian Networks for Efficient Decision Support

    Science.gov (United States)

    Fienen, M. N.; Masterson, J.; Plant, N. G.; Gutierrez, B. T.; Thieler, E. R.

    2012-12-01

    Bayesian decision networks (BDN) have long been used to provide decision support in systems that require explicit consideration of uncertainty; applications range from ecology to medical diagnostics and terrorism threat assessments. Until recently, however, few studies have applied BDNs to the study of groundwater systems. BDNs are particularly useful for representing real-world system variability by synthesizing a range of hydrogeologic situations within a single simulation. Because BDN output is cast in terms of probability—an output desired by decision makers—they explicitly incorporate the uncertainty of a system. BDNs can thus serve as a more efficient alternative to other uncertainty characterization methods such as computationally demanding Monte Carlo analyses and others methods restricted to linear model analyses. We present a unique application of a BDN to a groundwater modeling analysis of the hydrologic response of Assateague Island, Maryland to sea-level rise. Using both input and output variables of the modeled groundwater response to different sea-level (SLR) rise scenarios, the BDN predicts the probability of changes in the depth to fresh water, which exerts an important influence on physical and biological island evolution. Input variables included barrier-island width, maximum island elevation, and aquifer recharge. The variability of these inputs and their corresponding outputs are sampled along cross sections in a single model run to form an ensemble of input/output pairs. The BDN outputs, which are the posterior distributions of water table conditions for the sea-level rise scenarios, are evaluated through error analysis and cross-validation to assess both fit to training data and predictive power. The key benefit for using BDNs in groundwater modeling analyses is that they provide a method for distilling complex model results into predictions with associated uncertainty, which is useful to decision makers. Future efforts incorporate

  17. Multiscale molecular modeling of tertiary supported lipid bilayers

    Science.gov (United States)

    Ranz, Holden T.; Faller, Roland

    2015-08-01

    Ternary lipid bilayer systems assembled from mixtures of dipalmitoylphosphatidylcholine (DPPC), dioleoylphosphatidylcholine (DOPC), and cholesterol have been studied using coarse-grained molecular dynamics at biologically relevant temperatures (280 K to 310 K), which are between the chain melting temperatures of the pure lipid component. Free lipid bilayers were simulated using the MARTINI model (Stage I) and a variant with water-water interactions reduced to 76% (Stage II). The latter was subsequently used for preparing supported lipid bilayer simulations (Stage III). Clustering of like lipids was observed, but the simulation timescale did not yield larger phaseseparated domains.

  18. CPMD/GULP QM/MM Interface for Modeling Periodic Solids: Implementation and its Application in the Study of Y-Zeolite Supported Rh$_n$ Clusters

    CERN Document Server

    Sahoo, Sudhir K

    2016-01-01

    We report here the development of hybrid quantum mechanics/molecular mechanics (QM/MM) interface between the plane-wave density functional theory based CPMD code and the empirical force-field based GULP code for modeling periodic solids and surfaces. The hybrid QM/MM interface is based on the electrostatic coupling between QM and MM regions. The interface is designed for carrying out full relaxation of all the QM and MM atoms during geometry optimizations and molecular dynamics simulations, including the boundary atoms. Both Born-Oppenheimer and Car-Parrinello molecular dynamics schemes are enabled for the QM part during the QM/MM calculations. This interface has the advantage of parallelization of both the programs such that the QM and MM force evaluations can be carried out in parallel in order to model large systems. The interface program is first validated for total energy conservation and parallel scaling performance is benchmarked. Oxygen vacancy in {\\alpha}-cristobalite is then studied in detail and th...

  19. Decision support modeling for milk valorization

    NARCIS (Netherlands)

    Banaszewska, A.

    2014-01-01

    The research presented in this thesis concerns decision problems in practice that require structured, precise, scientific studies to provide strong, reliable answers. An opportunity to contribute to both practice and science emerged in 2008 when two large, Dutch dairy companies merged, creating Frie

  20. Decision support modeling for milk valorization

    NARCIS (Netherlands)

    Banaszewska, A.

    2014-01-01

    The research presented in this thesis concerns decision problems in practice that require structured, precise, scientific studies to provide strong, reliable answers. An opportunity to contribute to both practice and science emerged in 2008 when two large, Dutch dairy companies merged, creating

  1. Decision support modeling for milk valorization

    NARCIS (Netherlands)

    Banaszewska, A.

    2014-01-01

    The research presented in this thesis concerns decision problems in practice that require structured, precise, scientific studies to provide strong, reliable answers. An opportunity to contribute to both practice and science emerged in 2008 when two large, Dutch dairy companies merged, creating Frie

  2. Decision support modeling for milk valorization

    OpenAIRE

    Banaszewska, A.

    2014-01-01

    The research presented in this thesis concerns decision problems in practice that require structured, precise, scientific studies to provide strong, reliable answers. An opportunity to contribute to both practice and science emerged in 2008 when two large, Dutch dairy companies merged, creating FrieslandCampina (FC), which was the fourth largest dairy company in the world at that time. In 2009, a new Milk Valorization & Allocation (MVA) department was created at the corporate level to opt...

  3. A model for effective planning of SME support services.

    Science.gov (United States)

    Rakićević, Zoran; Omerbegović-Bijelović, Jasmina; Lečić-Cvetković, Danica

    2016-02-01

    This paper presents a model for effective planning of support services for small and medium-sized enterprises (SMEs). The idea is to scrutinize and measure the suitability of support services in order to give recommendations for the improvement of a support planning process. We examined the applied support services and matched them with the problems and needs of SMEs, based on the survey conducted in 2013 on a sample of 336 SMEs in Serbia. We defined and analysed the five research questions that refer to support services, their consistency with the SMEs' problems and needs, and the relation between the given support and SMEs' success. The survey results have shown a statistically significant connection between them. Based on this result, we proposed an eight-phase model as a method for the improvement of support service planning for SMEs. This model helps SMEs to plan better their requirements in terms of support; government and administration bodies at all levels and organizations that provide support services to understand better SMEs' problems and needs for support.

  4. Light Water Reactor Sustainability Program Support and Modeling for the Boiling Water Reactor Station Black Out Case Study Using RELAP and RAVEN

    Energy Technology Data Exchange (ETDEWEB)

    Diego Mandelli; Curtis Smith; Thomas Riley; John Schroeder; Cristian Rabiti; Aldrea Alfonsi; Joe Nielsen; Dan Maljovec; Bie Wang; Valerio Pascucci

    2013-09-01

    The existing fleet of nuclear power plants is in the process of extending its lifetime and increasing the power generated. In order to evaluate the impact of these two factors on the safety of the plant, the Risk Informed Safety Margin Characterization (RISMC) project aims to provide insight to decision makers through a series of simulations of the plant dynamics for different initial conditions (e.g., probabilistic analysis and uncertainty quantification). This report focuses, in particular, on the impact of power uprate on the safety of a boiled water reactor system. The case study considered is a loss of off-site power followed by the loss of diesel generators, i.e., a station black out (SBO) event. Analysis is performed by using a thermo-hydraulic code, i.e. RELAP-5, and a stochastic analysis tool currently under development at INL, i.e. RAVEN. Starting from the event tree models contained in SAPHIRE, we built the input file for RELAP-5 that models in great detail system dynamics under SBO conditions. We also interfaced RAVEN with RELAP-5 so that it would be possible to run multiple RELAP-5 simulation runs by changing specific keywords of the input file. We both employed classical statistical tools, i.e. Monte-Carlo, and more advanced machine learning based algorithms to perform uncertainty quantification in order to quantify changes in system performance and limitations as a consequence of power uprate. We also employed advanced data analysis and visualization tools that helped us to correlate simulation outcome such as maximum core temperature with a set of input uncertain parameters. Results obtained gave a detailed overview of the issues associated to power uprate for a SBO accident scenario. We were able to quantify how timing of safety related events were impacted by a higher reactor core power. Such insights can provide useful material to the decision makers to perform risk-infomed safety margins management.

  5. Local application of adipose-derived mesenchymal stem cells supports the healing of fistula: prospective randomised study on rat model of fistulising Crohn's disease.

    Science.gov (United States)

    Ryska, Ondrej; Serclova, Zuzana; Mestak, Ondrej; Matouskova, Eva; Vesely, Pavel; Mrazova, Iveta

    2017-05-01

    Local application of adipose-derived mesenchymal stem cells (ADSC) represents a novel approach for the management of perianal fistula in patients with Crohn's disease. A randomised study on an animal model was performed to investigate the efficacy and to detect the distribution of implanted ADSCs by bioluminescence (BLI). A caecostomy was used as a fistula model in 32 Lewis rats. The ADSCs were isolated from transgenic donor expressing firefly luciferase. Animals were randomly assigned to groups given injections of 4 × 10(6) cells (n = 16, group A) or placebo (n = 16, group B) in the perifistular tissue. Fistula drainage assessment was used to evaluate the fistula healing. After application of D-luciferin, cell viability and distribution was detected using an IVIS Lumina XR camera on days 0, 2, 7, 14 and 30. The fistula was identified as healed in 6 (38%) animals in group A vs. 1 case (6.3%) in group B (p = .033). The BLI was strongest immediately after administration of ADSCs 31.2 × 10(4) (6.09-111 × 10(4)) p/s/cm(2)/sr. The fastest decrease was observed within the first 2 days when values fell by 50.2%. The BLI 30 days after injection was significantly higher in animals with healed fistulas - 8.23 × 10(4) (1.18-16.9 × 10(4)) vs. 1.74 × 10(4) (0.156-6.88 × 10(4)); p = .0393. Local application of ADSCs resulted in significantly higher fistula closure rate on an animal model. BLI monitoring was proved to be feasible and showed rapid reduction of the ADSC mass after application. More viable cells were detected in animals with healed fistula at the end of the follow-up.

  6. Reference models supporting enterprise networks and virtual enterprises

    DEFF Research Database (Denmark)

    Tølle, Martin; Bernus, Peter

    2003-01-01

    This article analyses different types of reference models applicable to support the set up and (re)configuration of Virtual Enterprises (VEs). Reference models are models capturing concepts common to VEs aiming to convert the task of setting up of VE into a configuration task, and hence reducing...

  7. Novel diglycolamide functionalized calix[4]arenes for actinide extraction and supported liquid membrane studies: Part II. Role of substituents in the pendent arms and mass transfer modeling I

    NARCIS (Netherlands)

    Ansari, S.A.; Mohapatra, P.K.; Iqbal, M.; Kandwal, P.; Huskens, J.; Verboom, W.

    2013-01-01

    Several calix[4]arene-functionalized diglycolamide (C4DGA) ligands were evaluated for the extraction as well as supported liquid membrane (SLM) transport of actinides and fission product elements from nitric acid feed solutions. The extraction efficiency of the C4DGA ligands for Am(III) was orders o

  8. A community college model to support nursing workforce diversity.

    Science.gov (United States)

    Colville, Janet; Cottom, Sherry; Robinette, Teresa; Wald, Holly; Waters, Tomi

    2015-02-01

    Community College of Allegheny County (CCAC), Allegheny Campus, is situated on the North Side of Pittsburgh. The neighborhood is 60% African American. At the time of the Health Resources and Services Administration (HRSA) application, approximately one third of the students admitted to the program were African American, less than one third of whom successfully completed it. With the aid of HRSA funding, CCAC developed a model that significantly improved the success rate of disadvantaged students. Through the formation of a viable cohort, the nursing faculty nurtured success among the most at-risk students. The cohort was supported by a social worker, case managers who were nursing faculty, and tutors. Students formed study groups, actively participated in community activities, and developed leadership skills through participation in the Student Nurse Association of Pennsylvania. This article provides the rationale for the Registered Nurse (RN) Achievement Model, describes the components of RN Achievement, and discusses the outcomes of the initiative.

  9. An Elaborated Model of Student Support to Allow for Gender Considerations in Asian Distance Education

    Science.gov (United States)

    Jung, Insung; Seongyoun, Hong

    2014-01-01

    Research indicates that distance education (DE) students regard learner support systems as the key element in quality provision. This study sought to identify the key concerns of Asian DE students regarding support provision in different types of DE and dual-mode providers and formulate a student support model which took account of gender issues.…

  10. An Expert support model for ex situ soil remediation

    NARCIS (Netherlands)

    Okx, J.P.; Frankhuizen, E.M.; Wit, de J.C.; Pijls, C.G.J.M.; Stein, A.

    2000-01-01

    This paper presents an expert support model recombining knowledge and experience obtained during ex situ soil remediation. To solve soil remediation problems, an inter-disciplinary approach is required. Responsibilities during the soil remediation process, however, are increasingly decentralised, wh

  11. Feedback model to support designers of blended learning courses

    NARCIS (Netherlands)

    Hummel, Hans

    2006-01-01

    Hummel, H. G. K. (2006, December). Feedback model to support designers of blended learning courses. International Review of Open and Distance Learning [Online], 7(3). Available: http://www.irrodl.org/index.php/irrodl/article/view/379/748

  12. Assisting Secondary Support Teachers to Work in the Recommended Service Delivery Model: Introducing the Concept of a Subculture of Learning Support

    Science.gov (United States)

    Todd, Nicole Ann

    2012-01-01

    The original concept of a subculture of learning support in secondary schools developed from a study of "Support Teachers, Learning Difficulties" in New South Wales, Australia. The study examined the influence of school culture on the service delivery model used by these support teachers in three case studies, one of which is reported in…

  13. Assisting Secondary Support Teachers to Work in the Recommended Service Delivery Model: Introducing the Concept of a Subculture of Learning Support

    Science.gov (United States)

    Todd, Nicole Ann

    2012-01-01

    The original concept of a subculture of learning support in secondary schools developed from a study of "Support Teachers, Learning Difficulties" in New South Wales, Australia. The study examined the influence of school culture on the service delivery model used by these support teachers in three case studies, one of which is reported in this…

  14. A Markov model for measuring artillery fire support effectiveness

    OpenAIRE

    Guzik, Dennis M.

    1988-01-01

    Approved for public release; distribution is unlimited This thesis presents a Markov model, which, given an indirect fire weapon system's parameters, yields measures of the weapon's effectiveness in providing fire support to a maneuver element. These parameters may be determined for a variety of different scenarios. Any indirect fire weapon system may be a candidate for evaluation. This model may be used in comparing alternative weapon systems for the role of direct support of a Marin...

  15. A model of union participation: the impact of perceived union support, union instrumentality, and union loyalty.

    Science.gov (United States)

    Tetrick, Lois E; Shore, Lynn M; McClurg, Lucy Newton; Vandenberg, Robert J

    2007-05-01

    Perceived union support and union instrumentality have been shown to uniquely predict union loyalty. This study was the first to explicitly examine the relation between perceived union support and union instrumentality. Surveys were completed by 273 union members and 29 union stewards. A comparison of 2 models, 1 based on organizational support theory and 1 based on union participation theories, found that the model based on organizational support theory, in which union instrumentality was an antecedent to perceived union support and led to union loyalty and subsequently union participation, best fit the data. The model based on union participation theories, in which perceived union support was an antecedent of union instrumentality and led to union loyalty and subsequently union participation, was not supported. Union instrumentality was related to union commitment, but the relation was completely mediated by perceived union support.

  16. Integrating process and ontology to support supply chain modelling

    OpenAIRE

    2011-01-01

    Abstract Many researchers have recognized a lack of common framework to support supply chain modelling and analysis and proposed their solutions accordingly. Majority of the approaches proposed are more concerned with building an object model of a supply chain than identifying processes which realistically describe a supply chain. Though object models provide means or building blocks necessary to model and analyse different elements of a supply chain, an absence of supply chain pro...

  17. Supporting requirements model evolution throughout the system life-cycle

    OpenAIRE

    Ernst, Neil; Mylopoulos, John; Yu, Yijun; Ngyuen, Tien T.

    2008-01-01

    Requirements models are essential not just during system implementation, but also to manage system changes post-implementation. Such models should be supported by a requirements model management framework that allows users to create, manage and evolve models of domains, requirements, code and other design-time artifacts along with traceability links between their elements. We propose a comprehensive framework which delineates the operations and elements necessary, and then describe a tool imp...

  18. Human Exposure Modeling - Databases to Support Exposure Modeling

    Science.gov (United States)

    Human exposure modeling relates pollutant concentrations in the larger environmental media to pollutant concentrations in the immediate exposure media. The models described here are available on other EPA websites.

  19. Knowledge model-based decision support system for maize management

    Institute of Scientific and Technical Information of China (English)

    GUO Yinqiao; ZHAO Chuande; WANG Wenxin; LI Cundong

    2007-01-01

    Based on the relationship between crops and circumstances,a dynamic knowledge model for maize management with wide applicability was developed using the system method and mathematical modeling technique.With soft component characteristics incorporated,a component and digital knowledge model-based decision support system for maize management was established on the Visual C++platform.This system realized six major functions:target yield calculation,design of pre-sowing plan,prediction of regular indices,real-time management control,expert knowledge reference and system administration.Cases were studied on the target yield knowledge model with data sets that include different eco-sites,yield levels of the last three years,and fertilizer and water management levels.The results indicated that this system overcomes the shortcomings of traditional expert systems and planting patterns,such as sitespecific conditions and narrow applicability,and can be used more under different conditions and environments.This system provides a scientific knowledge system and a broad decision-making tool for maize management.

  20. Modeling Global Urbanization Supported by Nighttime Light Remote Sensing

    Science.gov (United States)

    Zhou, Y.

    2015-12-01

    Urbanization, a major driver of global change, profoundly impacts our physical and social world, for example, altering carbon cycling and climate. Understanding these consequences for better scientific insights and effective decision-making unarguably requires accurate information on urban extent and its spatial distributions. In this study, we developed a cluster-based method to estimate the optimal thresholds and map urban extents from the nighttime light remote sensing data, extended this method to the global domain by developing a computational method (parameterization) to estimate the key parameters in the cluster-based method, and built a consistent 20-year global urban map series to evaluate the time-reactive nature of global urbanization (e.g. 2000 in Fig. 1). Supported by urban maps derived from nightlights remote sensing data and socio-economic drivers, we developed an integrated modeling framework to project future urban expansion by integrating a top-down macro-scale statistical model with a bottom-up urban growth model. With the models calibrated and validated using historical data, we explored urban growth at the grid level (1-km) over the next two decades under a number of socio-economic scenarios. The derived spatiotemporal information of historical and potential future urbanization will be of great value with practical implications for developing adaptation and risk management measures for urban infrastructure, transportation, energy, and water systems when considered together with other factors such as climate variability and change, and high impact weather events.

  1. Reference models supporting enterprise networks and virtual enterprises

    DEFF Research Database (Denmark)

    Tølle, Martin; Bernus, Peter

    2003-01-01

    This article analyses different types of reference models applicable to support the set up and (re)configuration of Virtual Enterprises (VEs). Reference models are models capturing concepts common to VEs aiming to convert the task of setting up of VE into a configuration task, and hence reducing ...... the time needed for VE creation. The reference models are analysed through a mapping onto the Virtual Enterprise Reference Architecture (VERA) based upon GERAM and created in the IMS GLOBEMEN project.......This article analyses different types of reference models applicable to support the set up and (re)configuration of Virtual Enterprises (VEs). Reference models are models capturing concepts common to VEs aiming to convert the task of setting up of VE into a configuration task, and hence reducing...

  2. Model based decision support for planning of road maintenance

    NARCIS (Netherlands)

    Worm, J.M.; Harten, van A.

    1996-01-01

    In this article we describe a Decision Support Model, based on Operational Research methods, for the multi-period planning of maintenance of bituminous pavements. This model is a tool for the road manager to assist in generating an optimal maintenance plan for a road. Optimal means: minimising the N

  3. Interrogative Model of Inquiry and Computer-Supported Collaborative Learning.

    Science.gov (United States)

    Hakkarainen, Kai; Sintonen, Matti

    2002-01-01

    Examines how the Interrogative Model of Inquiry (I-Model), developed for the purposes of epistemology and philosophy of science, could be applied to analyze elementary school students' process of inquiry in computer-supported learning. Suggests that the interrogative approach to inquiry can be productively applied for conceptualizing inquiry in…

  4. Progressor: social navigation support through open social student modeling

    Science.gov (United States)

    Hsiao, I.-Han; Bakalov, Fedor; Brusilovsky, Peter; König-Ries, Birgitta

    2013-06-01

    The increased volumes of online learning content have produced two problems: how to help students to find the most appropriate resources and how to engage them in using these resources. Personalized and social learning have been suggested as potential ways to address these problems. Our work presented in this paper combines the ideas of personalized and social learning in the context of educational hypermedia. We introduce Progressor, an innovative Web-based tool based on the concepts of social navigation and open student modeling that helps students to find the most relevant resources in a large collection of parameterized self-assessment questions on Java programming. We have evaluated Progressor in a semester-long classroom study, the results of which are presented in this paper. The study confirmed the impact of personalized social navigation support provided by the system in the target context. The interface encouraged students to explore more topics attempting more questions and achieving higher success rates in answering them. A deeper analysis of the social navigation support mechanism revealed that the top students successfully led the way to discovering most relevant resources by creating clear pathways for weaker students.

  5. A Functional Near-Infrared Spectroscopy Study of Lexical Decision Task Supports the Dual Route Model and the Phonological Deficit Theory of Dyslexia

    Science.gov (United States)

    Sela, Itamar; Izzetoglu, Meltem; Izzetoglu, Kurtulus; Onaral, Banu

    2014-01-01

    The dual route model (DRM) of reading suggests two routes of reading development: the phonological and the orthographic routes. It was proposed that although the two routes are active in the process of reading; the first is more involved at the initial stages of reading acquisition, whereas the latter needs more reading training to mature. A…

  6. A Functional Near-Infrared Spectroscopy Study of Lexical Decision Task Supports the Dual Route Model and the Phonological Deficit Theory of Dyslexia

    Science.gov (United States)

    Sela, Itamar; Izzetoglu, Meltem; Izzetoglu, Kurtulus; Onaral, Banu

    2014-01-01

    The dual route model (DRM) of reading suggests two routes of reading development: the phonological and the orthographic routes. It was proposed that although the two routes are active in the process of reading; the first is more involved at the initial stages of reading acquisition, whereas the latter needs more reading training to mature. A…

  7. The Intelligent Decision Support System Model of SARS

    Institute of Scientific and Technical Information of China (English)

    ZhouXingyu; ZhangJiang; LiuYang; XieYanqing; ZhangRan; ZhaoYang; HeZhongxiong

    2004-01-01

    Based on the intelligent decision support system, a new method was presented to defense the catastrophic infectious disease such as SARS, Bird Flu, etc.. By using All Set theory, the decision support system (DSS) model can be built to analyze the noise information and forecast the trend of the catastrophe then to give the method or policy to defend the disease. The model system is composed of four subsystems: the noise analysis subsystem, forecast and simulation subsystem, diagnosis subsystem and second recovery subsystem. They are discussed briefly in this paper. This model can be used not only for SARS but also for other paroxysmal accidences.

  8. Urban modeling over Houston in support of SIMMER

    Science.gov (United States)

    Barlage, M. J.; Monaghan, A. J.; Feddema, J. J.; Oleson, K. W.; Brunsell, N. A.; Wilhelmi, O.

    2011-12-01

    Extreme heat is a leading cause of weather-related human mortality in the United States. As global warming patterns continue, researchers anticipate increases in the severity, frequency and duration of extreme heat events, especially in the southern and western U.S. Many cities in these regions may have amplified vulnerability due to their rapidly evolving socioeconomic fabric (for example, growing elderly populations). This raises a series of questions about the increased health risks of urban residents to extreme heat, and about effective means of mitigation and adaptation in present and future climates. We will introduce a NASA-funded project aimed at addressing these questions via the System for Integrated Modeling of Metropolitan Extreme Heat Risk (SIMMER). Through SIMMER, we hope to advance methodology for assessing current and future urban vulnerabilities from the heat waves through the refinement and integration of physical and social science models, and to build local capacity for heat hazard mitigation and climate change adaptation in the public health sector. We will also present results from a series of sensitivity studies over Houston and surrounding area employing a recently-implemented multi-layer urban canopy model (UCM) within the Noah Land Surface Model. The UCM has multiple layers in the atmosphere to explicitly resolve the effects of buildings, and has an indoor-outdoor exchange model that directly interacts with the atmospheric boundary layer. The goal of this work, which supports the physical science component of SIMMER, is to characterize the ill-defined and uncertain parameter space, including building characteristics and spatial organization, in the new multi-layer UCM for Houston, and to assess whether and how this parameter space is sensitive to the choice of urban morphology datasets. Results focus on the seasonal and inter-annual range of both the modeled urban heat island effect and the magnitude of surface energy components and

  9. Implementing a Technology-Supported Model for Cross-Organisational Learning and Knowledge Building for Teachers

    Science.gov (United States)

    Tammets, Kairit; Pata, Kai; Laanpere, Mart

    2012-01-01

    This study proposed using the elaborated learning and knowledge building model (LKB model) derived from Nonaka and Takeuchi's knowledge management model for supporting cross-organisational teacher development in the temporarily extended organisations composed of universities and schools. It investigated the main LKB model components in the context…

  10. Support vector machine-based multi-model predictive control

    Institute of Scientific and Technical Information of China (English)

    Zhejing BA; Youxian SUN

    2008-01-01

    In this paper,a support vector machine-based multi-model predictive control is proposed,in which SVM classification combines well with SVM regression.At first,each working environment is modeled by SVM regression and the support vector machine network-based model predictive control(SVMN-MPC)algorithm corresponding to each environment is developed,and then a multi-class SVM model is established to recognize multiple operating conditions.As for control,the current environment is identified by the multi-class SVM model and then the corresponding SVMN.MPCcontroller is activated at each sampling instant.The proposed modeling,switching and controller design is demonstrated in simulation results.

  11. Instrument Support, Data Analysis, Model Development, and Theoretical Studies Concerning Composition and Processes of the Middle and Upper Atmosphere and Solar Atmosphere

    Science.gov (United States)

    1991-09-01

    DSDA , LIMB, emissions UVLIM imaging codes Mr. J. S. Evans Atmospheric optical UVPI, SSULI PEGFAC, DSDA , LIMB emissions Ms. D. L. Kriebel Remote...Strickland Aeronomy UVPI, SSULI, VUE PEGFAC, DSDA , LIMB Key to selected abbreviations not included in Table 1: DE- 1 Dynamics Explorer-1 MAS...Instrument Models DSDA CPI/NRL photon transport code used to calculate source functions of optically * thick lines in the thermosphere and ionosphere LIMB

  12. Prioritization of engineering support requests and advanced technology projects using decision support and industrial engineering models

    Science.gov (United States)

    Tavana, Madjid

    1995-01-01

    The evaluation and prioritization of Engineering Support Requests (ESR's) is a particularly difficult task at the Kennedy Space Center (KSC) -- Shuttle Project Engineering Office. This difficulty is due to the complexities inherent in the evaluation process and the lack of structured information. The evaluation process must consider a multitude of relevant pieces of information concerning Safety, Supportability, O&M Cost Savings, Process Enhancement, Reliability, and Implementation. Various analytical and normative models developed over the past have helped decision makers at KSC utilize large volumes of information in the evaluation of ESR's. The purpose of this project is to build on the existing methodologies and develop a multiple criteria decision support system that captures the decision maker's beliefs through a series of sequential, rational, and analytical processes. The model utilizes the Analytic Hierarchy Process (AHP), subjective probabilities, the entropy concept, and Maximize Agreement Heuristic (MAH) to enhance the decision maker's intuition in evaluating a set of ESR's.

  13. Modelling Framework to Support Decision-Making in Manufacturing Enterprises

    Directory of Open Access Journals (Sweden)

    Tariq Masood

    2013-01-01

    Full Text Available Systematic model-driven decision-making is crucial to design, engineer, and transform manufacturing enterprises (MEs. Choosing and applying the best philosophies and techniques is challenging as most MEs deploy complex and unique configurations of process-resource systems and seek economies of scope and scale in respect of changing and distinctive product flows. This paper presents a novel systematic enhanced integrated modelling framework to facilitate transformation of MEs, which is centred on CIMOSA. Application of the new framework in an automotive industrial case study is also presented. The following new contributions to knowledge are made: (1 an innovative structured framework that can support various decisions in design, optimisation, and control to reconfigure MEs; (2 an enriched and generic process modelling approach with capability to represent both static and dynamic aspects of MEs; and (3 an automotive industrial case application showing benefits in terms of reduced lead time and cost with improved responsiveness of process-resource system with a special focus on PPC. It is anticipated that the new framework is not limited to only automotive industry but has a wider scope of application. Therefore, it would be interesting to extend its testing with different configurations and decision-making levels.

  14. Relationship model and supporting activities of JIT, TQM and TPM

    OpenAIRE

    Nuttapon SaeTong; Ketlada Kitiwanwong; Jirarat Teeravaraprug

    2011-01-01

    This paper gives a relationship model and supporting activities of Just-in-time (JIT), Total Quality Management (TQM),and Total Productive Maintenance (TPM). By reviewing the concepts, 5S, Kaizen, preventive maintenance, Kanban, visualcontrol, Poka-Yoke, and Quality Control tools are the main supporting activities. Based on the analysis, 5S, preventive maintenance,and Kaizen are the foundation of the three concepts. QC tools are required activities for implementing TQM, whereasPoka-Yoke and v...

  15. A Components Library System Model and the Support Tool

    Institute of Scientific and Technical Information of China (English)

    MIAO Huai-kou; LIU Hui; LIU Jing; LI Xiao-bo

    2004-01-01

    Component-based development needs a well-designed components library and a set of support tools.This paper presents the design and implementation of a components library system model and its support tool UMLCASE.A set of practical CASE tools is constructed.UMLCASE can use UML to design Use Case Diagram, Class Diagram etc.And it integrates with components library system.

  16. Simulation modeling of supported lipid membranes - a review.

    Science.gov (United States)

    Hirtz, Michael; Kumar, Naresh; Chi, Lifeng

    2014-03-01

    Lipid membranes are of great importance for many biological systems and biotechnological applications. One method to gain a profound understanding of the dynamics in lipid membranes and their interaction with other system components is by modeling these systems by computer simulations. Many different approaches have been undertaken in this endeavor that have led to molecular level insights into the underlying mechanisms of several experimental observations and biological processes with an extremely high temporal resolution. As compared to the free-standing lipid bilayers, there are fewer simulation studies addressing the systems of supported lipid membranes. Nevertheless, these have significantly enhanced our understanding of the behavior of lipid layers employed in applications spanning from biosensors to drug delivery and for biological processes such as the breathing cycle of lung surfactants. In this review, we give an account of the state of the art of methods and applications of the simulations of supported lipid bilayers, interfacial membranes at the air/water interface and on solid surfaces.

  17. Bayesian model selection techniques as decision support for shaping a statistical analysis plan of a clinical trial: An example from a vertigo phase III study with longitudinal count data as primary endpoint

    Directory of Open Access Journals (Sweden)

    Adrion Christine

    2012-09-01

    Full Text Available Abstract Background A statistical analysis plan (SAP is a critical link between how a clinical trial is conducted and the clinical study report. To secure objective study results, regulatory bodies expect that the SAP will meet requirements in pre-specifying inferential analyses and other important statistical techniques. To write a good SAP for model-based sensitivity and ancillary analyses involves non-trivial decisions on and justification of many aspects of the chosen setting. In particular, trials with longitudinal count data as primary endpoints pose challenges for model choice and model validation. In the random effects setting, frequentist strategies for model assessment and model diagnosis are complex and not easily implemented and have several limitations. Therefore, it is of interest to explore Bayesian alternatives which provide the needed decision support to finalize a SAP. Methods We focus on generalized linear mixed models (GLMMs for the analysis of longitudinal count data. A series of distributions with over- and under-dispersion is considered. Additionally, the structure of the variance components is modified. We perform a simulation study to investigate the discriminatory power of Bayesian tools for model criticism in different scenarios derived from the model setting. We apply the findings to the data from an open clinical trial on vertigo attacks. These data are seen as pilot data for an ongoing phase III trial. To fit GLMMs we use a novel Bayesian computational approach based on integrated nested Laplace approximations (INLAs. The INLA methodology enables the direct computation of leave-one-out predictive distributions. These distributions are crucial for Bayesian model assessment. We evaluate competing GLMMs for longitudinal count data according to the deviance information criterion (DIC or probability integral transform (PIT, and by using proper scoring rules (e.g. the logarithmic score. Results The instruments under study

  18. Effective Team Support: From Modeling to Software Agents

    Science.gov (United States)

    Remington, Roger W. (Technical Monitor); John, Bonnie; Sycara, Katia

    2003-01-01

    The purpose of this research contract was to perform multidisciplinary research between CMU psychologists, computer scientists and engineers and NASA researchers to design a next generation collaborative system to support a team of human experts and intelligent agents. To achieve robust performance enhancement of such a system, we had proposed to perform task and cognitive modeling to thoroughly understand the impact technology makes on the organization and on key individual personnel. Guided by cognitively-inspired requirements, we would then develop software agents that support the human team in decision making, information filtering, information distribution and integration to enhance team situational awareness. During the period covered by this final report, we made substantial progress in modeling infrastructure and task infrastructure. Work is continuing under a different contract to complete empirical data collection, cognitive modeling, and the building of software agents to support the teams task.

  19. The Self-Esteem, Perceived Social Support and Hopelessness in Adolescents: The Structural Equation Modeling

    Science.gov (United States)

    Savi Cakar, Firdevs; Karatas, Zeynep

    2012-01-01

    In this study, a developed model to explain a causal relationship between adolescent's self-esteem, perceived social support and hopelessness is tested. The purpose of the study is to explore the relationship between self-esteem, perceived social support and hopelessness in adolescents. A total of 257 adolescents, including 143 female and 114…

  20. Aggregation of Environmental Model Data for Decision Support

    Science.gov (United States)

    Alpert, J. C.

    2013-12-01

    Weather forecasts and warnings must be prepared and then delivered so as to reach their intended audience in good time to enable effective decision-making. An effort to mitigate these difficulties was studied at a Workshop, 'Sustaining National Meteorological Services - Strengthening WMO Regional and Global Centers' convened, June , 2013, by the World Bank, WMO and the US National Weather Service (NWS). The skill and accuracy of atmospheric forecasts from deterministic models have increased and there are now ensembles of such models that improve decisions to protect life, property and commerce. The NWS production of numerical weather prediction products result in model output from global and high resolution regional ensemble forecasts. Ensembles are constructed by changing the initial conditions to make a 'cloud' of forecasts that attempt to span the space of possible atmospheric realizations which can quantify not only the most likely forecast, but also the uncertainty. This has led to an unprecedented increase in data production and information content from higher resolution, multi-model output and secondary calculations. One difficulty is to obtain the needed subset of data required to estimate the probability of events, and report the information. The calibration required to reliably estimate the probability of events, and honing of threshold adjustments to reduce false alarms for decision makers is also needed. To meet the future needs of the ever-broadening user community and address these issues on a national and international basis, the weather service implemented the NOAA Operational Model Archive and Distribution System (NOMADS). NOMADS provides real-time and retrospective format independent access to climate, ocean and weather model data and delivers high availability content services as part of NOAA's official real time data dissemination at its new NCWCP web operations center. An important aspect of the server's abilities is to aggregate the matrix of

  1. Organizational analysis of three community support program models.

    Science.gov (United States)

    Reinke, B; Greenley, J R

    1986-06-01

    Little attention has been paid to the organizational and administrative characteristics of effective community support programs for the chronic mentally ill. The authors analyzed three successful support programs in Wisconsin that employ three different models of service delivery: one provides services through caseworkers who carry specialized caseloads, another through local nonprofessionals who work with a centrally located program coordinator, and the third through a team of various mental health workers. Each program has tailored its organizational process to suit the types of clients it sees, the size of its catchment area, and the availability of other professional resources. The interrelated strengths and weaknesses of each model are discussed.

  2. Study on the European Welfare and Tax Systems Models Used to Support Economic Growth and Overcome the Effects of the Crisis

    OpenAIRE

    2013-01-01

    The article presents a theme of great interest for political parties, public administration representatives and researchers as each country tries to implement those policies that bring about economic growth. This study aims to determine the key role of taxation for achieving economic growth and to highlight to what extent the different fiscal levers can influence it. The main issues are the tax systems and policies adopted by the EU members for reaching an optimal yield from implementing thei...

  3. A beer game simulation model for studying the impact of information sharing to diminish the bullwhip effect in supply chains: an educational support tool in supply chain management

    Directory of Open Access Journals (Sweden)

    Éder Vasco Pinheiro

    2016-06-01

    Full Text Available This paper simulates the Beer Distribution Game using object oriented simulation software. A five echelon supply chain with bidirectional relationships is reproduced, employing simulation to demonstrate the impact of information on the generation of the bullwhip effect. In doing so, this study intends to provide a simple didactic tool to assist academically in supply chain management. As the result of the simulations, it was possible to demonstrate the occurrence of the bullwhip effect and how information sharing can diminish it.

  4. Model-Driven Engineering Support for Building C# Applications

    Science.gov (United States)

    Derezińska, Anna; Ołtarzewski, Przemysław

    Realization of Model-Driven Engineering (MDE) vision of software development requires a comprehensive and user-friendly tool support. This paper presents a UML-based approach for building trustful C# applications. UML models are refined using profiles for assigning class model elements to C# concepts and to elements of implementation project. Stereotyped elements are verified on life and during model to code transformation in order to prevent creation of an incorrect code. The Transform OCL Fragments into C# system (T.O.F.I.C.) was created as a feature of the Eclipse environment. The system extends the IBM Rational Software Architect tool.

  5. Electronic market models for decision support systems on the Web

    Institute of Scientific and Technical Information of China (English)

    谢勇; 王红卫; 费奇

    2004-01-01

    With the prevalence of the Web, most decision-makers are likely to use the Web to support their decision-making. Web-based technologies are leading a major stream of researching decision support systems (DSS). We propose a formal definition and a conceptual framework for Web-based open DSS (WODSS). The formal definition gives an overall view of WODSS, and the conceptual framework based on browser/broker/server computing mode employs the electronic market to mediate decision-makers and providers, and facilitate sharing and reusing of decision resources. We also develop an admitting model, a trading model and a competing model of electronic market in WODSS based on market theory in economics. These models reveal the key mechanisms that drive WODSS operate efficiently.

  6. Supporting Calculations For Submerged Bed Scrubber Condensate Disposal Preconceptual Study

    Energy Technology Data Exchange (ETDEWEB)

    Pajunen, A. J.; Tedeschi, A. R.

    2012-09-18

    This document provides supporting calculations for the preparation of the Submerged Bed Scrubber Condensate Disposal Preconceptual Study report The supporting calculations include equipment sizing, Hazard Category determination, and LAW Melter Decontamination Factor Adjustments.

  7. Support for a history-dependent predictive model of dACC activity in producing the bivalency effect: an event-related potential study.

    Science.gov (United States)

    Grundy, John G; Shedden, Judith M

    2014-05-01

    In the present study, we examine electrophysiological correlates of factors influencing an adjustment in cognitive control known as the bivalency effect. During task-switching, the occasional presence of bivalent stimuli in a block of univalent trials is enough to elicit a response slowing on all subsequent univalent trials. Bivalent stimuli can be congruent or incongruent with respect to the response afforded by the irrelevant stimulus feature. Here we show that the incongruent bivalency effect, the congruent bivalency effect, and an effect of a simple violation of expectancy are captured at a frontal ERP component (between 300 and 550ms) associated with ACC activity, and that the unexpectedness effect is distinguished from both congruent and incongruent bivalency effects at an earlier component (100-120ms) associated with the temporal parietal junction. We suggest that the frontal component reflects the dACC's role in predicting future cognitive load based on recent history. In contrast, the posterior component may index early visual feature extraction in response to bivalent stimuli that cue currently ongoing tasks; dACC activity may trigger the temporal parietal activity only when specific task cueing is involved and not for simple violations of expectancy. Copyright © 2014 Elsevier Ltd. All rights reserved.

  8. Supporting the model of ductile iron dendritic solidification

    Energy Technology Data Exchange (ETDEWEB)

    Santos, H.M.C.M. [Porto Univ. (Portugal). Metall. and Mater. Dept.; Pinto, A.M.P. [Minho Univ. (Portugal). Mechanical Engineering Dept.; Jacinto, M.C.P.L. [Porto Polytechnic Inst. and INEGI, Porto (Portugal). Mechanical Engineering Dept.; Sa, C.P.M. [Porto Univ. (Portugal). Materials Center

    2000-08-01

    Microsegregation in ductile iron is generally accepted as modelled by a regular pattern: the graphite promoter elements are assumed to concentrate in the neighborhood of the graphite nodules and the carbide forming elements in the eutectic cell boundaries. The authors have conducted several microanalyses in several ductile irons and concluded that the microsegregation pattern does not agree with this model but supports the mechanism of dendritic ductile iron solidification. (orig.)

  9. A Conversation Model Enabling Intelligent Agents to Give Emotional Support

    OpenAIRE

    Van der Zwaan, J.M.; Dignum, V; Jonker, C.M.

    2012-01-01

    In everyday life, people frequently talk to others to help them deal with negative emotions. To some extent, everybody is capable of comforting other people, but so far conversational agents are unable to deal with this type of situation. To provide intelligent agents with the capability to give emotional support, we propose a domain-independent conversational model that is based on topics suggested by cognitive appraisal theories of emotion and the 5-phase model that is used to structure onl...

  10. Support vector regression-based internal model control

    Institute of Scientific and Technical Information of China (English)

    HUANG Yan-wei; PENG Tie-gen

    2007-01-01

    This paper proposes a design of internal model control systems for process with delay by using support vector regression (SVR). The proposed system fully uses the excellent nonlinear estimation performance of SVR with the structural risk minimization principle. Closed-system stability and steady error are analyzed for the existence of modeling errors. The simulations show that the proposed control systems have the better control performance than that by neural networks in the cases of the training samples with small size and noises.

  11. Learning Assistant Supported Student Outcomes (LASSO) study initial findings

    CERN Document Server

    Van Dusen, Ben; Otero, Valerie

    2015-01-01

    This study investigates how faculty, student, and course features are linked to student outcomes in Learning Assistant (LA) supported courses. Over 4,500 students and 17 instructors from 13 LA Alliance member institutions participated in the study. Each participating student completed an online concept inventory at the start (pre) and end (post) of their term. The physics concept inventories included Force and Motion Concept Evaluation (FMCE) and the Brief Electricity and Magnetism Assessment (BEMA). Concepts inventories from the fields of biology and chemistry were also included. Our analyses utilize hierarchical linear models that nest student level data (e.g. pre/post scores and gender) within course level data (e.g. discipline and course enrollment) to build models that examine student outcomes across institutions and disciplines. We report findings on the connections between students' outcomes and their gender, race, and time spent working with LAs as well as instructors' experiences with LAs.

  12. Perceived stress and resilience in Alzheimer's disease caregivers: testing moderation and mediation models of social support.

    Science.gov (United States)

    Wilks, Scott E; Croom, Beth

    2008-05-01

    The study examined whether social support functioned as a protective, resilience factor among Alzheimer's disease (AD) caregivers. Moderation and mediation models were used to test social support amid stress and resilience. A cross-sectional analysis of self-reported data was conducted. Measures of demographics, perceived stress, family support, friend support, overall social support, and resilience were administered to caregiver attendees (N=229) of two AD caregiver conferences. Hierarchical regression analysis showed the compounded impact of predictors on resilience. Odds ratios generated probability of high resilience given high stress and social supports. Social support moderation and mediation were tested via distinct series of regression equations. Path analyses illustrated effects on the models for significant moderation and/or mediation. Stress negatively influenced and accounted for most variation in resilience. Social support positively influenced resilience, and caregivers with high family support had the highest probability of elevated resilience. Moderation was observed among all support factors. No social support fulfilled the complete mediation criteria. Evidence of social support as a protective, moderating factor yields implications for health care practitioners who deliver services to assist AD caregivers, particularly the promotion of identification and utilization of supportive familial and peer relations.

  13. Support Vector Machine-Based Nonlinear System Modeling and Control

    Institute of Scientific and Technical Information of China (English)

    张浩然; 韩正之; 冯瑞; 于志强

    2003-01-01

    This paper provides an introduction to a support vector machine, a new kernel-based technique introduced in statistical learning theory and structural risk minimization, then presents a modeling-control framework based on SVM.At last a numerical experiment is taken to demonstrate the proposed approach's correctness and effectiveness.

  14. Modeling Positive Behavior Interventions and Supports for Preservice Teachers

    Science.gov (United States)

    Hill, Doris Adams; Flores, Margaret M.

    2014-01-01

    The authors modeled programwide positive behavior interventions and supports (PBIS) principles to 26 preservice teachers during consolidated yearly extended school year (ESY) services delivered to elementary students from four school districts. While PBIS were in place for preservice teachers to implement with students, a similar system was…

  15. HYDRA: a decision support model for irrigation water management

    NARCIS (Netherlands)

    Jacucci, G.; Kabat, P.; Verrier, P.J.; Teixeira, J.L.; Steduto, P.; Bertanzon, G.; Giannerini, G.; Huygen, J.; Fernando, R.M.; Hooijer, A.A.; Simons, W.; Toller, G.; Tziallas, G.; Uhrik, C.; Broek, van den B.J.; Vera Munoz, J.; Yovchev, P.

    1995-01-01

    HYDRA introduces information modelling and decision-support systems (DSS) to farmers and authorities in European Mediterranean agriculture in order to improve irrigation practices at different levels. Key components of HYDRA-DSS are a hierarchical setof water balance and crop growth simulation

  16. A Research on the Generative Learning Model Supported by Context-Based Learning

    Science.gov (United States)

    Ulusoy, Fatma Merve; Onen, Aysem Seda

    2014-01-01

    This study is based on the generative learning model which involves context-based learning. Using the generative learning model, we taught the topic of Halogens. This topic is covered in the grade 10 chemistry curriculum using activities which are designed in accordance with the generative learning model supported by context-based learning. The…

  17. Supporting universal prevention programs: a two-phased coaching model.

    Science.gov (United States)

    Becker, Kimberly D; Darney, Dana; Domitrovich, Celene; Keperling, Jennifer Pitchford; Ialongo, Nicholas S

    2013-06-01

    Schools are adopting evidence-based programs designed to enhance students' emotional and behavioral competencies at increasing rates (Hemmeter et al. in Early Child Res Q 26:96-109, 2011). At the same time, teachers express the need for increased support surrounding implementation of these evidence-based programs (Carter and Van Norman in Early Child Educ 38:279-288, 2010). Ongoing professional development in the form of coaching may enhance teacher skills and implementation (Noell et al. in School Psychol Rev 34:87-106, 2005; Stormont et al. 2012). There exists a need for a coaching model that can be applied to a variety of teacher skill levels and one that guides coach decision-making about how best to support teachers. This article provides a detailed account of a two-phased coaching model with empirical support developed and tested with coaches and teachers in urban schools (Becker et al. 2013). In the initial universal coaching phase, all teachers receive the same coaching elements regardless of their skill level. Then, in the tailored coaching phase, coaching varies according to the strengths and needs of each teacher. Specifically, more intensive coaching strategies are used only with teachers who need additional coaching supports, whereas other teachers receive just enough support to consolidate and maintain their strong implementation. Examples of how coaches used the two-phased coaching model when working with teachers who were implementing two universal prevention programs (i.e., the PATHS curriculum and PAX Good Behavior Game [PAX GBG]) provide illustrations of the application of this model. The potential reach of this coaching model extends to other school-based programs as well as other settings in which coaches partner with interventionists to implement evidence-based programs.

  18. Hanford personnel dosimeter supporting studies FY-1981

    Energy Technology Data Exchange (ETDEWEB)

    1982-08-01

    This report examined specific functional components of the routine external personnel dosimeter program at Hanford. Components studied included: dosimeter readout; dosimeter calibration; dosimeter field response; dose calibration algorithm; dosimeter design; and TLD chip acceptance procedures. Additional information is also presented regarding the dosimeter response to light- and medium-filtered x-rays, high energy photons and neutrons. This study was conducted to clarify certain data obtained during the FY-1980 studies.

  19. Supporting prospective teachers' conceptions of modelling in science

    Science.gov (United States)

    Crawford, Barbara A.; Cullin, Michael J.

    2004-11-01

    This study investigated prospective secondary science teachers' understandings of and intentions to teach about scientific modelling in the context of a model-based instructional module. Qualitative methods were used to explore the influence of instruction using dynamic computer modelling. Participants included 14 secondary science prospective teachers in the USA. Research questions included: (1) What do prospective teachers understand about models and modelling in science? (2) How do their understandings change, following building and testing dynamic computer models? and (3) What are prospective teachers' intentions to teach about scientific models? Scaffolds in the software, Model-IT, enabled participants to easily build dynamic models. Findings related to the process, content, and epistemological aspects of modelling, including: (a) prospective teachers became more articulate with the language of modelling; and (b) the module enabled prospective teachers to think critically about aspects of modelling. Still, teachers did not appear to achieve full understanding of scientific modelling.

  20. TYRE DYNAMICS MODELLING OF VEHICLE BASED ON SUPPORT VECTOR MACHINES

    Institute of Scientific and Technical Information of China (English)

    ZHENG Shuibo; TANG Houjun; HAN Zhengzhi; ZHANG Yong

    2006-01-01

    Various methods of tyre modelling are implemented from pure theoretical to empirical or semi-empirical models based on experimental results. A new way of representing tyre data obtained from measurements is presented via support vector machines (SVMs). The feasibility of applying SVMs to steady-state tyre modelling is investigated by comparison with three-layer backpropagation(BP) neural network at pure slip and combined slip. The results indicate SVMs outperform the BP neural network in modelling the tyre characteristics with better generalization performance. The SVMs-tyre is implemented in 8-DOF vehicle model for vehicle dynamics simulation by means of the PAC 2002 Magic Formula as reference. The SVMs-tyre can be a competitive and accurate method to model a tyre for vehicle dynamics simulation.

  1. A multicriteria prioritization model to support public safety planning

    Directory of Open Access Journals (Sweden)

    André Morais Gurgel

    2013-08-01

    Full Text Available Setting out to solve operational problems is a frequent part of decision making on public safety. However, the pillars of tactics and strategy are normally disregarded. Thus, this paper focuses on a strategic issue, namely that of a city prioritizing areasin which there is a degree of occurrences for criminality to increase. A multiple criteria approach is taken. The reason for this is that such a situation is normally analyzed from the perspective of the degree of police occurrences. The proposed model is based on a SMARTS multicriteria method and was applied in a Brazilian City. It combines a multicriteria method and a Monte Carlo Simulation to support an analysis of robustness. As a result, we highlight some differences between the model developed and police occurrences model. It might support differentiated policies for zones, by indicating where there should be strong actions, infrastructure investments, monitoring procedures and others public safety policies.

  2. AStructural Model Suggestion About Relationship Between Total Tourism Affect Perceived By Local Residents And Tourism Support

    OpenAIRE

    Ekrem Cengiz; Fazl› Kirkbir

    2007-01-01

    This study attempts to examine the structural effects of four tourism-impact factors on total impact and on local residents’support for tourism development. For this purpose, a model was developed and was tested with structural equation model. Test the model, 6 hypothesis constitude and a questionnary was conducted from 193 local residents in Bodrum. Structural equation model was applied using AMOS 4 and SPSS 13. After the test, suggested model accomodate intermediate and all hypothesis was...

  3. The Path to Graduation: A Model Interactive Web Site Design Supporting Doctoral Students

    Science.gov (United States)

    Simmons-Johnson, Nicole

    2012-01-01

    Objective. This 2-phase mixed method study assessed 2nd-year doctoral students' and dissertation students' perceptions of the current Graduate School of Education dissertation support Web site, with implications for designing a model dissertation support Web site. Methods. Phase 1 collected quantitative and qualitative data through an…

  4. A Threshold Model of Social Support, Adjustment, and Distress after Breast Cancer Treatment

    Science.gov (United States)

    Mallinckrodt, Brent; Armer, Jane M.; Heppner, P. Paul

    2012-01-01

    This study examined a threshold model that proposes that social support exhibits a curvilinear association with adjustment and distress, such that support in excess of a critical threshold level has decreasing incremental benefits. Women diagnosed with a first occurrence of breast cancer (N = 154) completed survey measures of perceived support…

  5. The Intelligent Ventilator Project: Application of Physiological Models in Decision Support

    DEFF Research Database (Denmark)

    Rees, Stephen Edward; Karbing, Dan Stieper; Allerød, Charlotte

    2011-01-01

    Management of mechanical ventilation in intensive care patients is complicated by conflicting clinical goals. Decision support systems (DSS) may support clinicians in finding the correct balance. The objective of this study was to evaluate a computerized model-based DSS for its advice on inspired...

  6. The Path to Graduation: A Model Interactive Web Site Design Supporting Doctoral Students

    Science.gov (United States)

    Simmons-Johnson, Nicole

    2012-01-01

    Objective. This 2-phase mixed method study assessed 2nd-year doctoral students' and dissertation students' perceptions of the current Graduate School of Education dissertation support Web site, with implications for designing a model dissertation support Web site. Methods. Phase 1 collected quantitative and qualitative data through an…

  7. The Intelligent Ventilator Project: Application of Physiological Models in Decision Support

    DEFF Research Database (Denmark)

    Rees, Stephen Edward; Karbing, Dan Stieper; Allerød, Charlotte

    2011-01-01

    Management of mechanical ventilation in intensive care patients is complicated by conflicting clinical goals. Decision support systems (DSS) may support clinicians in finding the correct balance. The objective of this study was to evaluate a computerized model-based DSS for its advice on inspired...

  8. ICT platform for support AC circuits study

    OpenAIRE

    Moisés Luis San Martín Ojeda; Eduardo Pedro Parra Gonzalo; Moisés Blanco Caballero; Alberto Sánchez Lite; Jose Andrés Serrano Sanz; Maria Isabel Jiménez Gómez; Manuel García García

    2014-01-01

    [EN] The software used for making educational tools allows analyze the engineering phenomena in a more complete and explained way, by means of simulation and experimentation. It is necessary to know the equations about the behaviour of the object under study for the generation of these tools, and to solve them through the right software, obtaining the output values from the input values. With this software it is possible to realize new studies only modifying the parameters of the ...

  9. MULTI SUPPORT VECTOR MACHINES DECISION MODEL AND ITS APPLICATION

    Institute of Scientific and Technical Information of China (English)

    阎威武; 陈治纲; 邵惠鹤

    2002-01-01

    Support Vector Machines (SVM) is a powerful machine learning method developed from statistical learning theory and is currently an active field in artificial intelligent technology. SVM is sensitive to noise vectors near hyperplane since it is determined only by few support vectors. In this paper, Multi SVM decision model(MSDM)was proposed. MSDM consists of multiple SVMs and makes decision by synthetic information based on multi SVMs. MSDM is applied to heart disease diagnoses based on UCI benchmark data set. MSDM somewhat inproves the robust of decision system.

  10. Relationship model and supporting activities of JIT, TQM and TPM

    Directory of Open Access Journals (Sweden)

    Nuttapon SaeTong

    2011-02-01

    Full Text Available This paper gives a relationship model and supporting activities of Just-in-time (JIT, Total Quality Management (TQM,and Total Productive Maintenance (TPM. By reviewing the concepts, 5S, Kaizen, preventive maintenance, Kanban, visualcontrol, Poka-Yoke, and Quality Control tools are the main supporting activities. Based on the analysis, 5S, preventive maintenance,and Kaizen are the foundation of the three concepts. QC tools are required activities for implementing TQM, whereasPoka-Yoke and visual control are necessary activities for implementing TPM. After successfully implementing TQM andTPM, Kanban is needed for JIT.

  11. Ensemble modelling and structured decision-making to support Emergency Disease Management.

    Science.gov (United States)

    Webb, Colleen T; Ferrari, Matthew; Lindström, Tom; Carpenter, Tim; Dürr, Salome; Garner, Graeme; Jewell, Chris; Stevenson, Mark; Ward, Michael P; Werkman, Marleen; Backer, Jantien; Tildesley, Michael

    2017-03-01

    Epidemiological models in animal health are commonly used as decision-support tools to understand the impact of various control actions on infection spread in susceptible populations. Different models contain different assumptions and parameterizations, and policy decisions might be improved by considering outputs from multiple models. However, a transparent decision-support framework to integrate outputs from multiple models is nascent in epidemiology. Ensemble modelling and structured decision-making integrate the outputs of multiple models, compare policy actions and support policy decision-making. We briefly review the epidemiological application of ensemble modelling and structured decision-making and illustrate the potential of these methods using foot and mouth disease (FMD) models. In case study one, we apply structured decision-making to compare five possible control actions across three FMD models and show which control actions and outbreak costs are robustly supported and which are impacted by model uncertainty. In case study two, we develop a methodology for weighting the outputs of different models and show how different weighting schemes may impact the choice of control action. Using these case studies, we broadly illustrate the potential of ensemble modelling and structured decision-making in epidemiology to provide better information for decision-making and outline necessary development of these methods for their further application. Crown Copyright © 2017. Published by Elsevier B.V. All rights reserved.

  12. Collaborative Development Planning Model of Supporting Product in Platform Innovation Ecosystem

    OpenAIRE

    Wei Zhang; Hamid Reza Karimi; Qingpu Zhang; Shaobo Wu

    2014-01-01

    In order to improve the market value of the product, the platform enterprise often participates in the development process of supporting product of emerging industry's platform innovation ecosystem. This paper puts forward a revenue sharing contract between the platform company and the supporting company by creating a collaborative development model of the supporting product in the ecosystem, and this paper studies the platform enterprise investment resource property's (complementary or subst...

  13. Study on Physical Training and Nutritional Support of Athletes

    Directory of Open Access Journals (Sweden)

    Yuhua Wu

    2015-05-01

    Full Text Available This study introduces the concepts of nutritional support and methods of physical training in detail. Finally, it summarizes the relationship between physical training and nutritional support. Physical training is inseparable from energy supply and the source of sport energy is from nutritional support. Various nutrition supplies is closely related to physical recovery of athletes.

  14. Application of Campus Instructional Support: Two Case Studies

    Science.gov (United States)

    Clauss-Ehlers, Caroline S.; Pasquerella, Lynn

    2017-01-01

    Purpose: The purpose of this paper is to demonstrate how instructional support is a critical tool to promote the use of technology in research and teaching. A Campus-Wide Collaborative Model of Technological Instructional Support (CCMTIS) is presented that incorporates: integration of technology across campus; technical assistance; allocation of…

  15. Data and Models Needed to Support Civil Aviation

    Science.gov (United States)

    Onsager, Terrance; Biesecker, D. A.; Berger, Thomas; Rutledge, Robert

    2016-07-01

    The effective utilization of existing data and models is an important element in advancing the goals of the COSPAR/ILWS space weather roadmap. This is recommended to be done through innovative approaches to data utilization, including data driving, data assimilation, and ensemble modeling. This presentation will focus on observations and models needed to support space weather services for civil aviation and commercial space transportation. The service needs for aviation will be discussed, and an overview will be given of some of the existing data and models that can provide these services. Efforts underway to define the requirements for real-time data and to assess current modeling capabilities will be described. Recommendations will be offered for internationally coordinated activities that could identify priorities and further the roadmap goals.

  16. Context-aware Workflow Model for Supporting Composite Workflows

    Institute of Scientific and Technical Information of China (English)

    Jong-sun CHOI; Jae-young CHOI; Yong-yun CHO

    2010-01-01

    -In recent years,several researchers have applied workflow technologies for service automation on ubiquitous computing environments.However,most context-aware oprkflows do not offer a method to compose several workflows in order to get more large-scale or complicated workflow.They only provide a simple workflow model,not a composite workflow model.In this paper,the autorhs propose a context-aware worrkflow model to support composite workflows by expanding the patterns of the existing context-aware workflows,which support the basic workflow patterns.The suggested worklow modei offers composite workflow patterns for a context-aware workflow,which consists of various flow patterns,such as simple,split,parallel flows,and subflow.With the suggested model,the model can easily reuse few of existing workflows to make a new workflow.As a result,it can save the development efforts and time of cantext-aware workflows and increase the workflow reusability.Therefore,the suggested model is expected to make it easy to develop applications related to context-aware workflow services on ubiquitous computing environments.

  17. Porflow modeling supporting the FY14 salstone special analysis

    Energy Technology Data Exchange (ETDEWEB)

    Flach, G. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL); Taylor, G. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL)

    2014-04-01

    PORFLOW related analyses supporting the Saltstone FY14 Special Analysis (SA) described herein are based on prior modeling supporting the Saltstone FY13 SA. Notable changes to the previous round of simulations include: a) consideration of Saltstone Disposal Unit (SDU) design type 6 under “Nominal” and “Margin” conditions, b) omission of the clean cap fill from the nominal SDU 2 and 6 modeling cases as a reasonable approximation of greater waste grout fill heights, c) minor updates to the cementitious materials degradation analysis, d) use of updated I-129 sorption coefficient (Kd) values in soils, e) assignment of the pH/Eh environment of saltstone to the underlying floor concrete, considering down flow through an SDU, and f) implementation of an improved sub-model for Tc release in an oxidizing environment. These new model developments are discussed and followed by a cursory presentation of simulation results. The new Tc release sub-model produced significantly improved (smoother) flux results compared to the FY13 SA. Further discussion of PORFLOW model setup and simulation results will be presented in the FY14 SA, including dose results.

  18. Social support and work engagement: a study of Malaysian nurses.

    Science.gov (United States)

    Othman, Noraini; Nasurdin, Aizzat Mohd

    2013-11-01

    This study addressed the question of whether social support (supervisor support and co-worker support) could contribute to the variance in work engagement. Nurses, as customer-contact employees, play an important role in representing the organization's competence. Their attitudes and behaviour toward patients has a significant influence on patients' satisfaction and perception of quality of service. The sample comprised 402 staff nurses working in three general hospitals in Peninsular Malaysia. Variables included demographic information, Utrecht Work Engagement Scale and Social Support Scale. Data analysis included descriptive statistics, correlations and regression analysis. Findings indicated that supervisor support was positively related to work engagement. Co-worker support was found to have no effect on work engagement. Supervisory support is an important predictor of work engagement for nurses. Nursing management should provide more training to nurse supervisors and develop nurse mentoring programmes to encourage more support to nurses. © 2012 John Wiley & Sons Ltd.

  19. Supporting crosscutting concern modelling in software architecture design

    Institute of Scientific and Technical Information of China (English)

    CAO Donggang; MEI Hong; ZHOU Minghui

    2007-01-01

    Crosscutting concerns such as logging,security,and transaction,are well supported in the programming level by aspect-oriented programming technologies.However,addressing these issues in the high-level architecture design still remains open.This paper presents a novel approach to supporting crosscutting concern modelling in the software architecture design of component-based systems.We introduce a new element named "Aspect"into our architecture description language,ABC/ADL,to clearly model the behavior of crosscutting concerns.Aspect is the first class entity as Component and Connector in ABC/ADL.ABC/ADL Connectors provide the weaving points where the component and aspect crosscut.This approach effectively enables "separation of concerns" in high-level architecture design,and facilitates black-box reuse of COTS components.

  20. Phone Duration Modeling of Affective Speech Using Support Vector Regression

    Directory of Open Access Journals (Sweden)

    Alexandros Lazaridis

    2012-07-01

    Full Text Available In speech synthesis accurate modeling of prosody is important for producing high quality synthetic speech. One of the main aspects of prosody is phone duration. Robust phone duration modeling is a prerequisite for synthesizing emotional speech with natural sounding. In this work ten phone duration models are evaluated. These models belong to well known and widely used categories of algorithms, such as the decision trees, linear regression, lazy-learning algorithms and meta-learning algorithms. Furthermore, we investigate the effectiveness of Support Vector Regression (SVR in phone duration modeling in the context of emotional speech. The evaluation of the eleven models is performed on a Modern Greek emotional speech database which consists of four categories of emotional speech (anger, fear, joy, sadness plus neutral speech. The experimental results demonstrated that the SVR-based modeling outperforms the other ten models across all the four emotion categories. Specifically, the SVR model achieved an average relative reduction of 8% in terms of root mean square error (RMSE throughout all emotional categories.

  1. Information Model Translation to Support a Wider Science Community

    Science.gov (United States)

    Hughes, John S.; Crichton, Daniel; Ritschel, Bernd; Hardman, Sean; Joyner, Ronald

    2014-05-01

    The Planetary Data System (PDS), NASA's long-term archive for solar system exploration data, has just released PDS4, a modernization of the PDS architecture, data standards, and technical infrastructure. This next generation system positions the PDS to meet the demands of the coming decade, including big data, international cooperation, distributed nodes, and multiple ways of analysing and interpreting data. It also addresses three fundamental project goals: providing more efficient data delivery by data providers to the PDS, enabling a stable, long-term usable planetary science data archive, and enabling services for the data consumer to find, access, and use the data they require in contemporary data formats. The PDS4 information architecture is used to describe all PDS data using a common model. Captured in an ontology modeling tool it supports a hierarchy of data dictionaries built to the ISO/IEC 11179 standard and is designed to increase flexibility, enable complex searches at the product level, and to promote interoperability that facilitates data sharing both nationally and internationally. A PDS4 information architecture design requirement stipulates that the content of the information model must be translatable to external data definition languages such as XML Schema, XMI/XML, and RDF/XML. To support the semantic Web standards we are now in the process of mapping the contents into RDF/XML to support SPARQL capable databases. We are also building a terminological ontology to support virtually unified data retrieval and access. This paper will provide an overview of the PDS4 information architecture focusing on its domain information model and how the translation and mapping are being accomplished.

  2. Emerging models for mobilizing family support for chronic disease management: a structured review.

    Science.gov (United States)

    Rosland, Ann-Marie; Piette, John D

    2010-03-01

    We identify recent models for programmes aiming to increase effective family support for chronic illness management and self-care among adult patients without significant physical or cognitive disabilities. We then summarize evidence regarding the efficacy for each model identified. Structured review of studies published in medical and psychology databases from 1990 to the present, reference review, general Web searches and conversations with family intervention experts. Review was limited to studies on conditions that require ongoing self-management, such as diabetes, chronic heart disease and rheumatologic disease. Programmes with three separate foci were identified: (1) Programmes that guide family members in setting goals for supporting patient self-care behaviours have led to improved implementation of family support roles, but have mixed success improving patient outcomes. (2) Programmes that train family in supportive communication techniques, such as prompting patient coping techniques or use of autonomy supportive statements, have successfully improved patient symptom management and health behaviours. (3) Programmes that give families tools and infrastructure to assist in monitoring clinical symptoms and medications are being conducted, with no evidence to date on their impact on patient outcomes. The next generation of programmes to improve family support for chronic disease management incorporate a variety of strategies. Future research can define optimal clinical situations for family support programmes, the most effective combinations of support strategies, and how best to integrate family support programmes into comprehensive models of chronic disease care.

  3. Workplace rehabilitation and supportive conditions at work: a prospective study.

    Science.gov (United States)

    Ahlstrom, Linda; Hagberg, Mats; Dellve, Lotta

    2013-06-01

    To investigate the impact of rehabilitation measures on work ability and return to work (RTW), specifically the association between workplace rehabilitation/supportive conditions at work and work ability and RTW over time, among women on long-term sick leave. Questionnaire data were collected (baseline, 6 and 12 months) from a cohort of women (n = 324). Linear mixed models were used for longitudinal analysis of the repeated measurements of work ability index (WAI), work ability score and working degree. These analyses were performed with different models; the explanatory variables for each model were workplace rehabilitation, supportive conditions at work and time. The individuals provided with workplace rehabilitation and supportive conditions (e.g. influence at work, possibilities for development, degree of freedom at work, meaning of work, quality of leadership, social support, sense of community and work satisfaction) had significantly increased WAI and work ability score over time. These individuals scored higher work ability compared to those individuals having workplace rehabilitation without supportive conditions, or neither. Additionally, among the individuals provided with workplace rehabilitation and supportive conditions, working degree increased significantly more over time compared to those individuals with no workplace rehabilitation and no supportive conditions. The results highlight the importance of integrating workplace rehabilitation with supportive conditions at work in order to increase work ability and improve the RTW process for women on long-term sick leave.

  4. Cost modelling as decision support when locating manufacturing facilities

    Directory of Open Access Journals (Sweden)

    Christina Windmark

    2016-01-01

    Full Text Available This paper presents a methodology for cost estimation in developing decision supports for production location issues. The purpose is to provide a structured work procedure to be used by practitioners to derive the knowledge needed to make informed decisions on where to locate production. This paper present a special focus on how to integrate cost effects during the decision process. The work procedure and cost models were developed in close collaboration with a group of industrial partners. The result is a structure of cost estimation tools aligned to different steps in the work procedure. The cost models can facilitate both cost estimation for manufacturing a product under new preconditions, including support costs, and cost simulations to analyse the risks of wrong estimations and uncertainties in the input parameters. Future research aims to test the methodology in ongoing transfer projects to further understand difficulties in managing global production systems. In existing models and methods presented in the literature, cost is usually estimated on a too aggregated level to be suitable for decision support regarding production system design. The cost estimation methodology presented here provides new insights on cost driving factors related to the production system.

  5. A Cost Model for Integrated Logistic Support Activities

    Directory of Open Access Journals (Sweden)

    M. Elena Nenni

    2013-01-01

    Full Text Available An Integrated Logistic Support (ILS service has the objective of improving a system’s efficiency and availability for the life cycle. The system constructor offers the service to the customer, and she becomes the Contractor Logistic Support (CLS. The aim of this paper is to propose an approach to support the CLS in the budget formulation. Specific goals of the model are the provision of the annual cost of ILS activities through a specific cost model and a comprehensive examination of expected benefits, costs and savings under alternative ILS strategies. A simple example derived from an industrial application is also provided to illustrate the idea. Scientific literature is lacking in the topic and documents from the military are just dealing with the issue of performance measurement. Moreover, they are obviously focused on the customer’s perspective. Other scientific papers are general and focused only on maintenance or life cycle management. The model developed in this paper approaches the problem from the perspective of the CLS, and it is specifically tailored on the main issues of an ILS service.

  6. Support Vector Machine active learning for 3D model retrieval

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    In this paper, we present a novel Support Vector Machine active learning algorithm for effective 3D model retrieval using the concept of relevance feedback. The proposed method learns from the most informative objects which are marked by the user, and then creates a boundary separating the relevant models from irrelevant ones. What it needs is only a small number of 3D models labelled by the user. It can grasp the user's semantic knowledge rapidly and accurately. Experimental results showed that the proposed algorithm significantly improves the retrieval effectiveness. Compared with four state-of-the-art query refinement schemes for 3D model retrieval, it provides superior retrieval performance after no more than two rounds of relevance feedback.

  7. PORFLOW Modeling Supporting The H-Tank Farm Performance Assessment

    Energy Technology Data Exchange (ETDEWEB)

    Jordan, J. M.; Flach, G. P.; Westbrook, M. L.

    2012-08-31

    Numerical simulations of groundwater flow and contaminant transport in the vadose and saturated zones have been conducted using the PORFLOW code in support of an overall Performance Assessment (PA) of the H-Tank Farm. This report provides technical detail on selected aspects of PORFLOW model development and describes the structure of the associated electronic files. The PORFLOW models for the H-Tank Farm PA, Rev. 1 were updated with grout, solubility, and inventory changes. The aquifer model was refined. In addition, a set of flow sensitivity runs were performed to allow flow to be varied in the related probabilistic GoldSim models. The final PORFLOW concentration values are used as input into a GoldSim dose calculator.

  8. “Psychosomatic consultation in the workplace” – a new model of care at the interface of company-supported mental health care and consultation-liaison psychosomatics: design of a mixed methods implementation study

    Directory of Open Access Journals (Sweden)

    Rothermund Eva

    2012-09-01

    Full Text Available Abstract Background Mental health issues are gaining in importance in society and the economic system. At the same time, the accessibility and stigmatisation of the mental health care system in Germany can obstruct help-seeking behavior and delay early psychotherapeutic interventions. Therefore, new models of care are being established at the interface of company-supported health promotion and conventional health insurance sponsored outpatient care for people developing mental illnesses. Two large industrial companies, in cooperation with two psychosomatic clinics, have recently established a model of “psychosomatic consultation in the workplace“. This new model of care offers the opportunity for a first psychotherapeutic door to door consultation with occupational medicine within the industrial workplace. The main empirical goals of this study are: 1 Describing the differences between patients who use this new diagnostic and therapeutic offer within the industrial workplace vs. patients who visit a conventional regional outpatient clinic, especially in regard to symptom duration and severity, work ability, and demographic characteristics, and 2 A first evaluation of how patients may benefit more from this new model of care compared to those first seen by standard outpatient care. In the qualitative part of the study, occupational physicians, psychosomatic therapists, involved personnel and select employees of the involved companies will be asked to comment on their experiences with this new approach. Methods/Design The implementation study will take place in Ulm and in Stuttgart, with each site looking at one regional conventional psychosomatic outpatient clinic and one psychosomatic consultation offer within the workplace. 70 consecutive patients in each setting will be recruited (overall n = 280. For the cross-sectional study and pre-post comparison we will use established and validated survey instruments (PHQ, SF-12, WAI, MBI, IS as

  9. Dynamical mass modeling of dispersion-supported dwarf galaxies

    Science.gov (United States)

    Wolf, Joseph

    The currently favored cold dark matter cosmology (LCDM) has had much success in reproducing the large scale structure of the universe. However, on smaller scales there are some possible discrepancies when attempting to match galactic observations with properties of halos in dissipationless LCDM simulations. One advantageous method to test small scale simulations with observations is through dynamical mass modeling of nearby dwarf spheroidal galaxies (dSphs). The stellar tracers of dSphs are dispersion-supported, which poses a significant challenge in accurately deriving mass profiles. Unlike rotationally-supported galaxies, the dynamics of which can be well-approximated by one-dimensional physics, modeling dispersion-supported systems given only line-of-sight data results in a well-known degeneracy between the mass profile and the velocity dispersion anisotropy. The core of this dissertation is rooted in a new advancement which we have discovered: the range of solutions allowed by the mass-anisotropy degeneracy varies as a function of radius, with a considerable minimal near the deprojected half-light radius of almost all observed dispersion-supported galaxies. This finding allows for a wide range of applications in galaxy formation scenarios to be explored in an attempt to address, amongst other hypotheses, whether the LCDM framework needs to be modified in order to reproduce observations on the small scale. This thesis is comprised of both the derivation of this finding, and its applicability to all dispersion-supported systems, ranging from dwarfs galaxies consisting of a few hundred stars to systems of 'intracluster light', containing over a trillion stars. Rarely does one have the privilege of working with systems that span such a large range in luminosity (or any intrinsic property) in a short graduate career. Although the large applicability of this scale-free finding allows for discussion in many subfields, this thesis will mainly focus on one topic: dwarf

  10. Pore curvature and support composition effects on the electronic properties of supported Pt catalysts: an infrared spectroscopy study with CO as probe molecule

    NARCIS (Netherlands)

    Lepage, M.; Visser, T.; van der Eerden, A.M.J.; Soulimani, F.; Weckhuysen, B.M.

    2008-01-01

    Supported 1 wt% Pt-based catalyst materials have been used as model systems to study pore curvature and support composition effects on the electronic properties of supported Pt nanoparticles. For this purpose, Pt nanoparticles have been loaded onto microporous (ITQ-1), mesoporous (Si- MCM-41, Si-MCM

  11. Study on Macro-traffic Model

    Institute of Scientific and Technical Information of China (English)

    FangGe; GuowuZhang; BaojunYuan; KepingLi

    2004-01-01

    Macro-traffic model is an effective tool for supporting traffic programmer to This article is based on the software products VISEM (demand model) and VISUM (supply model) from PTV Company of Germany, and studies macro-traffic model on the basis of considering that traffic system is an interactive system of between a supply system and a demand system.

  12. Social Validity of a Positive Behavior Interventions and Support Model

    Science.gov (United States)

    Miramontes, Nancy Y.; Marchant, Michelle; Heath, Melissa Allen; Fischer, Lane

    2011-01-01

    As more schools turn to positive behavior interventions and support (PBIS) to address students' academic and behavioral problems, there is an increased need to adequately evaluate these programs for social relevance. The present study used social validation measures to evaluate a statewide PBIS initiative. Active consumers of the program were…

  13. Using Technology to Support the Army Learning Model

    Science.gov (United States)

    2016-02-01

    technologies that could support the execution of these scenarios in the most effective manner. It was indicated that the team had benefited greatly from...Leadership & Education , Personnel, and Facilities) studies are conducted which feed into the JCIDS (Joint Capabilities Integration Development...from each organization for inclusion . A total of 21 products were selected for the final sample, with each organization contributing approximately

  14. Operations and support cost modeling using Markov chains

    Science.gov (United States)

    Unal, Resit

    1989-01-01

    Systems for future missions will be selected with life cycle costs (LCC) as a primary evaluation criterion. This reflects the current realization that only systems which are considered affordable will be built in the future due to the national budget constaints. Such an environment calls for innovative cost modeling techniques which address all of the phases a space system goes through during its life cycle, namely: design and development, fabrication, operations and support; and retirement. A significant portion of the LCC for reusable systems are generated during the operations and support phase (OS). Typically, OS costs can account for 60 to 80 percent of the total LCC. Clearly, OS costs are wholly determined or at least strongly influenced by decisions made during the design and development phases of the project. As a result OS costs need to be considered and estimated early in the conceptual phase. To be effective, an OS cost estimating model needs to account for actual instead of ideal processes by associating cost elements with probabilities. One approach that may be suitable for OS cost modeling is the use of the Markov Chain Process. Markov chains are an important method of probabilistic analysis for operations research analysts but they are rarely used for life cycle cost analysis. This research effort evaluates the use of Markov Chains in LCC analysis by developing OS cost model for a hypothetical reusable space transportation vehicle (HSTV) and suggests further uses of the Markov Chain process as a design-aid tool.

  15. A prototype computer-aided modelling tool for life-support system models

    Science.gov (United States)

    Preisig, H. A.; Lee, Tae-Yeong; Little, Frank

    1990-01-01

    Based on the canonical decomposition of physical-chemical-biological systems, a prototype kernel has been developed to efficiently model alternative life-support systems. It supports (1) the work in an interdisciplinary group through an easy-to-use mostly graphical interface, (2) modularized object-oriented model representation, (3) reuse of models, (4) inheritance of structures from model object to model object, and (5) model data base. The kernel is implemented in Modula-II and presently operates on an IBM PC.

  16. Bridging groundwater models and decision support with a Bayesian network

    Science.gov (United States)

    Fienen, Michael N.; Masterson, John P.; Plant, Nathaniel G.; Gutierrez, Benjamin T.; Thieler, E. Robert

    2013-01-01

    Resource managers need to make decisions to plan for future environmental conditions, particularly sea level rise, in the face of substantial uncertainty. Many interacting processes factor in to the decisions they face. Advances in process models and the quantification of uncertainty have made models a valuable tool for this purpose. Long-simulation runtimes and, often, numerical instability make linking process models impractical in many cases. A method for emulating the important connections between model input and forecasts, while propagating uncertainty, has the potential to provide a bridge between complicated numerical process models and the efficiency and stability needed for decision making. We explore this using a Bayesian network (BN) to emulate a groundwater flow model. We expand on previous approaches to validating a BN by calculating forecasting skill using cross validation of a groundwater model of Assateague Island in Virginia and Maryland, USA. This BN emulation was shown to capture the important groundwater-flow characteristics and uncertainty of the groundwater system because of its connection to island morphology and sea level. Forecast power metrics associated with the validation of multiple alternative BN designs guided the selection of an optimal level of BN complexity. Assateague island is an ideal test case for exploring a forecasting tool based on current conditions because the unique hydrogeomorphological variability of the island includes a range of settings indicative of past, current, and future conditions. The resulting BN is a valuable tool for exploring the response of groundwater conditions to sea level rise in decision support.

  17. Computer Modelling of a Tank Battle with Helicopter Support

    Directory of Open Access Journals (Sweden)

    Chatter Singh

    1986-01-01

    Full Text Available The paper attempts to model a tank versus tank battle scenario in which the defender is provided an armed helicopter unit support, against surprise advance of the attacker towards an important place. The stochastic and dynamic nature of the battle system has been handled by means of Monte Carlo simulation. In that activities like move, search, fire, hit and kill are simulated and their effects generated in the model. The game has been repeated for parameters relating to (i fire power (ii mobility (iii intervisibility (iv blind shooting (v defender/attacker force ratio and (vi helicopter unit support with the defender. Then, average numerical effects in each case have been analysed.Although the results are based on tentative data, the. trend seems to suggest that a battalion of Centurion tanks or 2 coys with a helicopter unit support stand fairly good chance to defeat the attack by M-47/48 tanks equivalent to 4 coys. Neyertheless, the methodology provides an effective basis to systematically approach realistic situations and quantitatively assess weapon systems effectiveness under tactical alternatives and battle field environments.

  18. A collaborative model for supporting community-based interdisciplinary education.

    Science.gov (United States)

    Carney, Patricia A; Schifferdecker, Karen E; Pipas, Catherine F; Fall, Leslie H; Poor, Daniel A; Peltier, Deborah A; Nierenberg, David W; Brooks, W Blair

    2002-07-01

    Development and support of community-based, interdisciplinary ambulatory medical education has achieved high priority due to on-site capacity and the unique educational experiences community sites contribute to the educational program. The authors describe the collaborative model their school developed and implemented in 2000 to integrate institution- and community-based interdisciplinary education through a centralized office, the strengths and challenges faced in applying it, the educational outcomes that are being tracked to evaluate its effectiveness, and estimates of funds needed to ensure its success. Core funding of $180,000 is available annually for a centralized office, the keystone of the model described here. With this funding, the office has (1) addressed recruitment, retention, and quality of educators for UME; (2) promoted innovation in education, evaluation, and research; (3) supported development of a comprehensive curriculum for medical school education; and (4) monitored the effectiveness of community-based education programs by tracking product yield and cost estimates needed to generate these programs. The model's Teaching and Learning Database contains information about more than 1,500 educational placements at 165 ambulatory teaching sites (80% in northern New England) involving 320 active preceptors. The centralized office facilitated 36 site visits, 22% of which were interdisciplinary, involving 122 preceptors. A total of 98 follow-up requests by community-based preceptors were fulfilled in 2000. The current submission-to-funding ratio for educational grants is 56%. Costs per educational activity have ranged from $811.50 to $1,938, with costs per preceptor ranging from $101.40 to $217.82. Cost per product (grants, manuscripts, presentations) in research and academic scholarship activities was $2,492. The model allows the medical school to balance institutional and departmental support for its educational programs, and to better position

  19. T:XML: A Tool Supporting User Interface Model Transformation

    Science.gov (United States)

    López-Jaquero, Víctor; Montero, Francisco; González, Pascual

    Model driven development of user interfaces is based on the transformation of an abstract specification into the final user interface the user will interact with. The design of transformation rules to carry out this transformation process is a key issue in any model-driven user interface development approach. In this paper, we introduce T:XML, an integrated development environment for managing, creating and previewing transformation rules. The tool supports the specification of transformation rules by using a graphical notation that works on the basis of the transformation of the input model into a graph-based representation. T:XML allows the design and execution of transformation rules in an integrated development environment. Furthermore, the designer can also preview how the generated user interface looks like after the transformations have been applied. These previewing capabilities can be used to quickly create prototypes to discuss with the users in user-centered design methods.

  20. Extending the Clapper-Yule model to rough printing supports.

    Science.gov (United States)

    Hébert, Mathieu; Hersch, Roger David

    2005-09-01

    The Clapper-Yule model is the only classical spectral reflection model for halftone prints that takes explicitly into account both the multiple internal reflections between the print-air interface and the paper substrate and the lateral propagation of light within the paper bulk. However, the Clapper-Yule model assumes a planar interface and does not take into account the roughness of the print surface. In order to extend the Clapper-Yule model to rough printing supports (e.g., matte coated papers or calendered papers), we model the print surface as a set of randomly oriented microfacets. The influence of the shadowing effect is evaluated and incorporated into the model. By integrating over all incident angles and facet orientations, we are able to express the internal reflectance of the rough interface as a function of the rms facet slope. By considering also the rough interface transmittances both for the incident light and for the emerging light, we obtain a generalization of the Clapper-Yule model for rough interfaces. The comparison between the classical Clapper-Yule model and the model extended to rough surfaces shows that the influence of the surface roughness on the predicted reflectance factor is small. For high-quality papers such as coated and calendered papers, as well as for low-quality papers such as newsprint or copy papers, the influence of surface roughness is negligible, and the classical Clapper-Yule model can be used to predict the halftone-print reflectance factors. The influence of roughness becomes significant only for very rough and thick nondiffusing coatings.

  1. US country studies program: Support for climate change studies, national plans, and technology assessments

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-12-31

    This paper describes the objectives of the next phase of the U.S. Country Studies Program which was launched in support of the Framework Convention on Climate Change (FCCC). The next phases of this program aim to: assist countries in preparing Climate Change Action plans; support technology assessments and development of technology initiatives; enhance exchange of information and expertise in support of FCCC. The program offers support for these processes in the form of handbooks which have been published to aid in preparing action plans, and to provide information on methane, forestry, and energy technologies. In addition an array of training workshops have been and are scheduled to offer hands on instruction to participants, expert advice is available from trained personnel, and modeling tools are available to aid in development of action plans.

  2. Cognitive Support using BDI Agent and Adaptive User Modeling

    DEFF Research Database (Denmark)

    Hossain, Shabbir

    2012-01-01

    a set of goals for attaining the objective of this thesis. The initial goal is to recognize the activities of the users to assess the need of support for the user during the activity. However, one of the challenges of the recognition process is the adaptability for variant user behaviour due to physical...... for higher accuracy and reliability. The second goal focus on the selection process of the type support required for user based on the aptitude of performing the activities. The capability model has been extracted from International Classification of Functioning, Disability and Health (ICF), a well...... Observable Markov Decision Process (POMDP) in the BDI agent is proposed in this thesis to handle the irrational behaviour of the user. The fourth goal represents the implementation of the research approaches and performs validation of the system through experiments. The empirical results of the experiments...

  3. Distributed Hydrologic Modeling Apps for Decision Support in the Cloud

    Science.gov (United States)

    Swain, N. R.; Latu, K.; Christiensen, S.; Jones, N.; Nelson, J.

    2013-12-01

    Advances in computation resources and greater availability of water resources data represent an untapped resource for addressing hydrologic uncertainties in water resources decision-making. The current practice of water authorities relies on empirical, lumped hydrologic models to estimate watershed response. These models are not capable of taking advantage of many of the spatial datasets that are now available. Physically-based, distributed hydrologic models are capable of using these data resources and providing better predictions through stochastic analysis. However, there exists a digital divide that discourages many science-minded decision makers from using distributed models. This divide can be spanned using a combination of existing web technologies. The purpose of this presentation is to present a cloud-based environment that will offer hydrologic modeling tools or 'apps' for decision support and the web technologies that have been selected to aid in its implementation. Compared to the more commonly used lumped-parameter models, distributed models, while being more intuitive, are still data intensive, computationally expensive, and difficult to modify for scenario exploration. However, web technologies such as web GIS, web services, and cloud computing have made the data more accessible, provided an inexpensive means of high-performance computing, and created an environment for developing user-friendly apps for distributed modeling. Since many water authorities are primarily interested in the scenario exploration exercises with hydrologic models, we are creating a toolkit that facilitates the development of a series of apps for manipulating existing distributed models. There are a number of hurdles that cloud-based hydrologic modeling developers face. One of these is how to work with the geospatial data inherent with this class of models in a web environment. Supporting geospatial data in a website is beyond the capabilities of standard web frameworks and it

  4. A new decision support model for preanesthetic evaluation.

    Science.gov (United States)

    Sobrie, Olivier; Lazouni, Mohammed El Amine; Mahmoudi, Saïd; Mousseau, Vincent; Pirlot, Marc

    2016-09-01

    The principal challenges in the field of anesthesia and intensive care consist of reducing both anesthetic risks and mortality rate. The ASA score plays an important role in patients' preanesthetic evaluation. In this paper, we propose a methodology to derive simple rules which classify patients in a category of the ASA scale on the basis of their medical characteristics. This diagnosis system is based on MR-Sort, a multiple criteria decision analysis model. The proposed method intends to support two steps in this process. The first is the assignment of an ASA score to the patient; the second concerns the decision to accept-or not-the patient for surgery. In order to learn the model parameters and assess its effectiveness, we use a database containing the parameters of 898 patients who underwent preanesthesia evaluation. The accuracy of the learned models for predicting the ASA score and the decision of accepting the patient for surgery is assessed and proves to be better than that of other machine learning methods. Furthermore, simple decision rules can be explicitly derived from the learned model. These are easily interpretable by doctors, and their consistency with medical knowledge can be checked. The proposed model for assessing the ASA score produces accurate predictions on the basis of the (limited) set of patient attributes in the database available for the tests. Moreover, the learned MR-Sort model allows for easy interpretation by providing human-readable classification rules. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  5. Using Built-In Domain-Specific Modeling Support to Guide Model-Based Test Generation

    CERN Document Server

    Kanstrén, Teemu; 10.4204/EPTCS.80.5

    2012-01-01

    We present a model-based testing approach to support automated test generation with domain-specific concepts. This includes a language expert who is an expert at building test models and domain experts who are experts in the domain of the system under test. First, we provide a framework to support the language expert in building test models using a full (Java) programming language with the help of simple but powerful modeling elements of the framework. Second, based on the model built with this framework, the toolset automatically forms a domain-specific modeling language that can be used to further constrain and guide test generation from these models by a domain expert. This makes it possible to generate a large set of test cases covering the full model, chosen (constrained) parts of the model, or manually define specific test cases on top of the model while using concepts familiar to the domain experts.

  6. Using Built-In Domain-Specific Modeling Support to Guide Model-Based Test Generation

    Directory of Open Access Journals (Sweden)

    Teemu Kanstrén

    2012-02-01

    Full Text Available We present a model-based testing approach to support automated test generation with domain-specific concepts. This includes a language expert who is an expert at building test models and domain experts who are experts in the domain of the system under test. First, we provide a framework to support the language expert in building test models using a full (Java programming language with the help of simple but powerful modeling elements of the framework. Second, based on the model built with this framework, the toolset automatically forms a domain-specific modeling language that can be used to further constrain and guide test generation from these models by a domain expert. This makes it possible to generate a large set of test cases covering the full model, chosen (constrained parts of the model, or manually define specific test cases on top of the model while using concepts familiar to the domain experts.

  7. Advancing LGBT Elder Policy and Support Services: The Massachusetts Model.

    Science.gov (United States)

    Krinsky, Lisa; Cahill, Sean

    2017-04-04

    The Massachusetts-based LGBT Aging Project has trained elder service providers in affirming and culturally competent care for LGBT older adults, supported development of LGBT-friendly meal programs, and advanced LGBT equality under aging policy. Working across sectors, this innovative model launched the country's first statewide Legislative Commission on Lesbian, Gay, Bisexual, and Transgender Aging. Advocates are working with policymakers to implement key recommendations, including cultural competency training and data collection in statewide networks of elder services. The LGBT Aging Project's success provides a template for improving services and policy for LGBT older adults throughout the country.

  8. Communication competence, social support, and depression among college students: a model of facebook and face-to-face support network influence.

    Science.gov (United States)

    Wright, Kevin B; Rosenberg, Jenny; Egbert, Nicole; Ploeger, Nicole A; Bernard, Daniel R; King, Shawn

    2013-01-01

    This study examined the influence of the social networking site Facebook and face-to-face support networks on depression among (N = 361) college students. The authors used the Relational Health Communication Competence Model as a framework for examining the influence of communication competence on social support network satisfaction and depression. Moreover, they examined the influence of interpersonal and social integrative motives as exogenous variables. On the basis of previous work, the authors propose and test a theoretical model using structural equation modeling. The results indicated empirical support for the model, with interpersonal motives predicting increased face-to-face and computer-mediated competence, increased social support satisfaction with face-to-face and Facebook support, and lower depression scores. The implications of the findings for theory, key limitations, and directions for future research are discussed.

  9. Nutrition support practice: a study of factors inherent in the delivery of nutrition support services.

    Science.gov (United States)

    Agriesti-Johnson, C; Dwyer, K; Steinbaugh, M

    1988-01-01

    The purpose of this study was to determine the degree of intercorrelation among dietitian, physician, and team nutrition support functions. Eight hundred and eighty dietitians and physicians were asked to respond to a questionnaire describing nutrition support functions as reported in the literature and validated by a panel of nutrition support physicians and dietitians. Two hundred and fifty-four completed questionnaires were included in the study, 84 from physicians and 170 from dietitians. Intercorrelations among function statements were subjected to factor analysis. The magnitude and consistency of factor loadings suggest that nutrition support is not perceived as independent components, but as a comprehensive pattern or structure. However, there was one important difference in perception. The sample tended to have an "enteral" orientation to the dietitian role and a "parenteral" orientation to the physician and team roles. The data support the contention that all members of nutrition support teams need a common core of knowledge and a set of highly developed process skills which can best be attained through an integrated, rather than segmented, approach to team training.

  10. A Composite Modelling Approach to Decision Support by the Use of the CBA-DK Model

    DEFF Research Database (Denmark)

    Barfod, Michael Bruhn; Salling, Kim Bang; Leleur, Steen

    2007-01-01

    This paper presents a decision support system for assessment of transport infrastructure projects. The composite modelling approach, COSIMA, combines a cost-benefit analysis by use of the CBA-DK model with multi-criteria analysis applying the AHP and SMARTER techniques. The modelling uncertainties...

  11. A formal model for access control with supporting spatial context

    Institute of Scientific and Technical Information of China (English)

    ZHANG Hong; HE YePing; SHI ZhiGuo

    2007-01-01

    There is an emerging recognition of the importance of utilizing contextual information in authorization decisions. Controlling access to resources in the field of wireless and mobile networking require the definition of a formal model for access control with supporting spatial context. However, traditional RBAC model does not specify these spatial requirements. In this paper, we extend the existing RBAC model and propose the SC-RBAC model that utilizes spatial and location-based information in security policy definitions. The concept of spatial role is presented,and the role is assigned a logical location domain to specify the spatial boundary.Roles are activated based on the current physical position of the user which obtained from a specific mobile terminal. We then extend SC-RBAC to deal with hierarchies, modeling permission, user and activation inheritance, and prove that the hierarchical spatial roles are capable of constructing a lattice which is a means for articulate multi-level security policy and more suitable to control the information flow security for safety-critical location-aware information systems. Next, constrained SC-RBAC allows express various spatial separations of duty constraints,location-based cardinality and temporal constraints for specify fine-grained spatial semantics that are typical in location-aware systems. Finally, we introduce 9 invariants for the constrained SC-RBAC and its basic security theorem is proven. The constrained SC-RBAC provides the foundation for applications in need of the constrained spatial context aware access control.

  12. Gilbert's Behavior Engineering Model: Contemporary Support for an Established Theory

    Science.gov (United States)

    Crossman, Donna Cangelosi

    2010-01-01

    This study was an effort to add to the body of research surrounding Gilbert's Behavior Engineering Model (BEM). The model was tested to determine its ability to explain factor relationships of organizational safety culture in a high-risk work environment. Three contextual variables were measured: communication, resource availability, and…

  13. Supporting an Externally Developed Model of Education in Greenland

    Science.gov (United States)

    Wyatt, Tasha R.

    2010-01-01

    This study investigated the adaptation process of an externally developed model of reform in Greenland's educational system. Under investigation was how reform leaders responded to the needs of the community after implementing an educational model developed in the United States by researchers at the Center for Research on Education, Diversity, and…

  14. Community Mobilization Model Applied to Support Grandparents Raising Grandchildren

    Science.gov (United States)

    Miller, Jacque; Bruce, Ann; Bundy-Fazioli, Kimberly; Fruhauf, Christine A.

    2010-01-01

    This article discusses the application of a community mobilization model through a case study of one community's response to address the needs of grandparents raising grandchildren. The community mobilization model presented is one that is replicable in addressing diverse community identified issues. Discussed is the building of the partnerships,…

  15. Model and Implementation of Communication Link Management Supporting High Availability

    Institute of Scientific and Technical Information of China (English)

    Luo Juan; Cao Yang; He Zheng; Li Feng

    2004-01-01

    Despite the rapid evolution in all aspects of computer technology, both the computer hardware and software are prone to numerous failure conditions. In this paper, we analyzed the characteristic of a computer system and the methods of constructing a system , proposed a communication link management model supporting high availability for network applications, Which will greatly increase the high availability of network applications. Then we elaborated on heartbeat or service detect, fail-over, service take-over, switchback and error recovery process of the model. In the process of constructing the communication link, we implemented the link management and service take-over with high availability requirement, and discussed the state and the state transition of building the communication link between the hosts, depicted the message transfer and the start of timer. At Last, we applied the designed high availability system to a network billing system, and showed how the system was constructed and implemented, which perfectly satisfied the system requirements.

  16. Testing a Model of Functional Impairment in Telephone Crisis Support Workers.

    Science.gov (United States)

    Kitchingman, Taneile A; Wilson, Coralie J; Caputi, Peter; Wilson, Ian; Woodward, Alan

    2016-11-21

    It is well known that helping professionals experience functional impairment related to elevated symptoms of psychological distress as a result of frequent empathic engagement with distressed others. Whether telephone crisis support workers are impacted in a similar way is not currently reported in the literature. The purpose of this study was to test a hypothesized model of factors contributing to functional impairment in telephone crisis support workers. A national sample of 210 telephone crisis support workers completed an online survey including measures of emotion regulation, symptoms of general psychological distress and suicidal ideation, intentions to seek help for symptoms, and functional impairment. Structural equation modeling was used to test the fit of the data to the hypothesized model. Goodness-of-fit indices were adequate and supported the interactive effects of emotion regulation, general psychological distress, suicidal ideation, and intentions to seek help for ideation on functional impairment. These results warrant the deliberate management of telephone crisis support workers' impairment through service selection, training, supervision, and professional development strategies. Future research replicating and extending this model will further inform the modification and/or development of strategies to optimize telephone crisis support workers' well-being and delivery of support to callers.

  17. Staffs' and managers' perceptions of how and when discrete event simulation modelling can be used as a decision support in quality improvement: a focus group discussion study at two hospital settings in Sweden.

    Science.gov (United States)

    Hvitfeldt-Forsberg, Helena; Mazzocato, Pamela; Glaser, Daniel; Keller, Christina; Unbeck, Maria

    2017-06-06

    To explore healthcare staffs' and managers' perceptions of how and when discrete event simulation modelling can be used as a decision support in improvement efforts. Two focus group discussions were performed. Two settings were included: a rheumatology department and an orthopaedic section both situated in Sweden. Healthcare staff and managers (n=13) from the two settings. Two workshops were performed, one at each setting. Workshops were initiated by a short introduction to simulation modelling. Results from the respective simulation model were then presented and discussed in the following focus group discussion. Categories from the content analysis are presented according to the following research questions: how and when simulation modelling can assist healthcare improvement? Regarding how, the participants mentioned that simulation modelling could act as a tool for support and a way to visualise problems, potential solutions and their effects. Regarding when, simulation modelling could be used both locally and by management, as well as a pedagogical tool to develop and test innovative ideas and to involve everyone in the improvement work. Its potential as an information and communication tool and as an instrument for pedagogic work within healthcare improvement render a broader application and value of simulation modelling than previously reported. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  18. Concepts to Support HRP Integration Using Publications and Modeling

    Science.gov (United States)

    Mindock, J.; Lumpkins, S.; Shelhamer, M.

    2014-01-01

    Initial efforts are underway to enhance the Human Research Program (HRP)'s identification and support of potential cross-disciplinary scientific collaborations. To increase the emphasis on integration in HRP's science portfolio management, concepts are being explored through the development of a set of tools. These tools are intended to enable modeling, analysis, and visualization of the state of the human system in the spaceflight environment; HRP's current understanding of that state with an indication of uncertainties; and how that state changes due to HRP programmatic progress and design reference mission definitions. In this talk, we will discuss proof-of-concept work performed using a subset of publications captured in the HRP publications database. The publications were tagged in the database with words representing factors influencing health and performance in spaceflight, as well as with words representing the risks HRP research is reducing. Analysis was performed on the publication tag data to identify relationships between factors and between risks. Network representations were then created as one type of visualization of these relationships. This enables future analyses of the structure of the networks based on results from network theory. Such analyses can provide insights into HRP's current human system knowledge state as informed by the publication data. The network structure analyses can also elucidate potential improvements by identifying network connections to establish or strengthen for maximized information flow. The relationships identified in the publication data were subsequently used as inputs to a model captured in the Systems Modeling Language (SysML), which functions as a repository for relationship information to be gleaned from multiple sources. Example network visualization outputs from a simple SysML model were then also created to compare to the visualizations based on the publication data only. We will also discuss ideas for

  19. An innovative model of supportive clinical teaching and learning for undergraduate nursing students: the cluster model.

    Science.gov (United States)

    Bourgeois, Sharon; Drayton, Nicola; Brown, Ann-Marie

    2011-03-01

    Students look forward to their clinical practicum to learn within the context of reality nursing. As educators we need to actively develop models of clinical practicum whereby students are supported to engage and learn in the clinical learning environment. The aim of this paper is to describe an innovative model of supportive clinical teaching and learning for undergraduate nursing students as implemented in a large teaching hospital in New South Wales, Australia. The model of supportive clinical teaching and learning situates eight students at a time, across a shift, on one ward, with an experienced registered nurse from the ward specialty, who is employed as the clinical teacher to support nursing students during their one to two week block practicum. Results from written evaluation statements inform the discussion component of the paper for a model that has proved to be successful in this large healthcare facility.

  20. Ecological Footprint Model Using the Support Vector Machine Technique

    Science.gov (United States)

    Ma, Haibo; Chang, Wenjuan; Cui, Guangbai

    2012-01-01

    The per capita ecological footprint (EF) is one of the most widely recognized measures of environmental sustainability. It aims to quantify the Earth's biological resources required to support human activity. In this paper, we summarize relevant previous literature, and present five factors that influence per capita EF. These factors are: National gross domestic product (GDP), urbanization (independent of economic development), distribution of income (measured by the Gini coefficient), export dependence (measured by the percentage of exports to total GDP), and service intensity (measured by the percentage of service to total GDP). A new ecological footprint model based on a support vector machine (SVM), which is a machine-learning method based on the structural risk minimization principle from statistical learning theory was conducted to calculate the per capita EF of 24 nations using data from 123 nations. The calculation accuracy was measured by average absolute error and average relative error. They were 0.004883 and 0.351078% respectively. Our results demonstrate that the EF model based on SVM has good calculation performance. PMID:22291949

  1. A confidant support and problem solving model of divorced fathers' parenting.

    Science.gov (United States)

    Degarmo, David S; Forgatch, Marion S

    2012-03-01

    This study tested a hypothesized social interaction learning (SIL) model of confidant support and paternal parenting. The latent growth curve analysis employed 230 recently divorced fathers, of which 177 enrolled support confidants, to test confidant support as a predictor of problem solving outcomes and problem solving outcomes as predictors of change in fathers' parenting. Fathers' parenting was hypothesized to predict growth in child behavior. Observational measures of support behaviors and problem solving outcomes were obtained from structured discussions of personal and parenting issues faced by the fathers. Findings replicated and extended prior cross-sectional studies with divorced mothers and their confidants. Confidant support predicted better problem solving outcomes, problem solving predicted more effective parenting, and parenting in turn predicted growth in children's reduced total problem behavior T scores over 18 months. Supporting a homophily perspective, fathers' antisociality was associated with confidant antisociality but only fathers' antisociality influenced the support process model. Intervention implications are discussed regarding SIL parent training and social support.

  2. Structural Analysis of Cuban Typical Model of Telecommunication Self-Supporting Towers under Seismic Load

    Directory of Open Access Journals (Sweden)

    Patricia Martín Rodríguez

    2012-07-01

    Full Text Available Self-supporting lattice towers are slender structures with low damping and high flexibility. They are sensitive to dynamic loads such as wind and earthquake. In the West of Cuba, structures should be analyzed under extreme winds and seismic effects, which raised their frequency during 2010 year. Self-supporting towers do not have the same dynamic behavior as buildings under seismic loads. Their specific structure features are not developed at design seismic codes, for that reason it is necessary to study methods of seismic analysis for self-supporting towers. The methods selected in this research are Modal Analysis Method proposed by Cuban Seismic Code (NC-46:1999 and modal superposition lineal dynamic analysis named Time History. It was selected for the study two self-supporting towers designed in Cuba, Versalles Model (3-legged and Najasa Model (4-legged. Comparative analysis between both methods is realized with extreme values of internal forces at element towers.

  3. 信息化条件下装备保障人才个体模型研究%Study on Individual Model of Equipment Support Talented Person under Informatization Circumstances

    Institute of Scientific and Technical Information of China (English)

    夏良华

    2015-01-01

    针对装备保障人才个体,对信息化条件下装备保障人才能力素质的通用模型进行了描述,划分了六大类变量,即动机类变量、知识类变量、信息类变量、技能类变量、身心类变量和角色类变量;针对装备保障核心人才,建立了能力素质结构模型,分析了装备保障人才与关键岗位的匹配关系。%The common model of the abilities and intrinsic qualifications is described aimed at individual equipment support talented person under informatization circumstances. This model contains six kinds variables,such as motivation variable, knowledge variable, information variable, skill variable, body and mind variable, role variable. Also, aimed at equipment support key talented person, the abilities and intrinsic qualifications model is designed. In the model, the paper analyses the matching relationship between equipment support talented person and key job position.

  4. Agricultural Model for the Nile Basin Decision Support System

    Science.gov (United States)

    van der Bolt, Frank; Seid, Abdulkarim

    2014-05-01

    To analyze options for increasing food supply in the Nile basin the Nile Agricultural Model (AM) was developed. The AM includes state-of-the-art descriptions of biophysical, hydrological and economic processes and realizes a coherent and consistent integration of hydrology, agronomy and economics. The AM covers both the agro-ecological domain (water, crop productivity) and the economic domain (food supply, demand, and trade) and allows to evaluate the macro-economic and hydrological impacts of scenarios for agricultural development. Starting with the hydrological information from the NileBasin-DSS the AM calculates the available water for agriculture, the crop production and irrigation requirements with the FAO-model AquaCrop. With the global commodity trade model MAGNET scenarios for land development and conversion are evaluated. The AM predicts consequences for trade, food security and development based on soil and water availability, crop allocation, food demand and food policy. The model will be used as a decision support tool to contribute to more productive and sustainable agriculture in individual Nile countries and the whole region.

  5. Early Student Support for Process Studies of Surface Freshwater Dispersal

    Science.gov (United States)

    2016-06-24

    light field is varied to decay exponentially with depth. The spectra of tracer variance are computed for different growth rates and related to the...To) 06/24/2016 FINAL 12/01 /2012-03/31 /2016 4. TITLE AND SUBTITLE sa. CONTRACT NUMBER Early Student Support for Process Studies of Surface...ONRREPORT Early Student Support Process Studies of Surface Freshwater Dispersal June 24, 2016 Amala Mahadevan Woods Hole Oceanographic Institution

  6. Modeling snail breeding in Bioregenerative Life Support System

    Science.gov (United States)

    Kovalev, Vladimir; Tikhomirov, Alexander A.; Nickolay Manukovsky, D..

    It is known that snail meat is a high quality food that is rich in protein. Hence, heliciculture or land snail farming spreads worldwide because it is a profitable business. The possibility to use the snails of Helix pomatia in Biological Life Support System (BLSS) was studied by Japanese Researches. In that study land snails were considered to be producers of animal protein. Also, snail breeding was an important part of waste processing, because snails were capable to eat the inedible plant biomass. As opposed to the agricultural snail farming, heliciculture in BLSS should be more carefully planned. The purpose of our work was to develop a model for snail breeding in BLSS that can predict mass flow rates in and out of snail facility. There are three linked parts in the model called “Stoichiometry”, “Population” and “Mass balance”, which are used in turn. Snail population is divided into 12 age groups from oviposition to one year. In the submodel “Stoichiometry” the individual snail growth and metabolism in each of 12 age groups are described with stoichiometry equations. Reactants are written on the left side of the equations, while products are written on the right side. Stoichiometry formulas of reactants and products consist of four chemical elements: C, H, O, N. The reactants are feed and oxygen, products are carbon dioxide, metabolic water, snail meat, shell, feces, slime and eggs. If formulas of substances in the stoichiometry equations are substituted with their molar masses, then stoichiometry equations are transformed to the equations of molar mass balance. To get the real mass balance of individual snail growth and metabolism one should multiply the value of each molar mass in the equations on the scale parameter, which is the ratio between mass of monthly consumed feed and molar mass of feed. Mass of monthly consumed feed and stoichiometry coefficients of formulas of meat, shell, feces, slime and eggs should be determined experimentally

  7. A Multiple Model Approach to Modeling Based on Fuzzy Support Vector Machines

    Institute of Scientific and Technical Information of China (English)

    冯瑞; 张艳珠; 宋春林; 邵惠鹤

    2003-01-01

    A new multiple models(MM) approach was proposed to model complex industrial process by using Fuzzy Support Vector Machines (F SVMs). By applying the proposed approach to a pH neutralization titration experi-ment, F_SVMs MM not only provides satisfactory approximation and generalization property, but also achieves superior performance to USOCPN multiple modeling method and single modeling method based on standard SVMs.

  8. Phylogenies support out-of-equilibrium models of biodiversity.

    Science.gov (United States)

    Manceau, Marc; Lambert, Amaury; Morlon, Hélène

    2015-04-01

    There is a long tradition in ecology of studying models of biodiversity at equilibrium. These models, including the influential Neutral Theory of Biodiversity, have been successful at predicting major macroecological patterns, such as species abundance distributions. But they have failed to predict macroevolutionary patterns, such as those captured in phylogenetic trees. Here, we develop a model of biodiversity in which all individuals have identical demographic rates, metacommunity size is allowed to vary stochastically according to population dynamics, and speciation arises naturally from the accumulation of point mutations. We show that this model generates phylogenies matching those observed in nature if the metacommunity is out of equilibrium. We develop a likelihood inference framework that allows fitting our model to empirical phylogenies, and apply this framework to various mammalian families. Our results corroborate the hypothesis that biodiversity dynamics are out of equilibrium.

  9. The Controlling Model as Management Support in Decision- Making

    Directory of Open Access Journals (Sweden)

    Berislav Bolfek

    2010-07-01

    Full Text Available business system to operate successfully and make profit, which represents the success criterion for each business system on the market. For managing the business result, the management of business systems needs different types of information on which numerous managerial decisions are based. That is why it is necessary to develop and set a Business System Controlling Model which would have the capability to transform available data into the information necessary for managerial decision-making. The above-mentioned model is prepared in such a way that the whole process of the transformation of the data into required information is carried out in two interconnected steps which have to be made in every single case and situation. However, there are a certain number of different activities within each step which do not have to be performed in every case. The forecast presented in the form of the Profit Forecast Procedure and the Liquidity Forecast Procedure represents the essence of the Business System Controlling Model. The Business System Controlling Model developed and set out in this paper should enable the business system management to evaluate future business activities, in addition to monitoring the past and present business activities. It is precisely the evaluation of the future business activities that, in today’s conditions of greater market globalization and internationalization, should help the business system management to control the business result in a better and easier way. In this way, the Business System Controlling Model represents a new tool in the sense of management support in making various business decisions.

  10. Green Transport Balanced Scorecard Model with Analytic Network Process Support

    Directory of Open Access Journals (Sweden)

    David Staš

    2015-11-01

    Full Text Available In recent decades, the performance of economic and non-economic activities has required them to be friendly with the environment. Transport is one of the areas having considerable potential within the scope. The main assumption to achieve ambitious green goals is an effective green transport evaluation system. However, these systems are researched from the industrial company and supply chain perspective only sporadically. The aim of the paper is to design a conceptual framework for creating the Green Transport (GT Balanced Scorecard (BSC models from the viewpoint of industrial companies and supply chains using an appropriate multi-criteria decision making method. The models should allow green transport performance evaluation and support of an effective implementation of green transport strategies. Since performance measures used in Balanced Scorecard models are interdependent, the Analytic Network Process (ANP was used as the appropriate multi-criteria decision making method. The verification of the designed conceptual framework was performed on a real supply chain of the European automotive industry.

  11. The Model of Information Support for Management of Investment Attractiveness of Machine-Building Enterprises

    Directory of Open Access Journals (Sweden)

    Chernetska Olga V.

    2016-11-01

    Full Text Available The article discloses the content of the definition of “information support”, identifies basic approaches to the interpretation of this economic category. The main purpose of information support for management of enterprise investment attractiveness is determined. The key components of information support for management of enterprise investment attractiveness are studied. The main types of automated information systems for management of the investment attractiveness of enterprises are identified and characterized. The basic computer programs for assessing the level of investment attractiveness of enterprises are considered. A model of information support for management of investment attractiveness of machine-building enterprises is developed.

  12. Physical aggression, compromised social support, and 10-year marital outcomes: Testing a relational spillover model.

    Science.gov (United States)

    Sullivan, Kieran T; Pasch, Lauri A; Lawrence, Erika; Bradbury, Thomas N

    2015-12-01

    The purpose of the present study was to test a relational spillover model of physical aggression whereby physical aggression affects marital outcomes due to its effects on how spouses ask for and provide support to one another. Newlywed couples (n = 172) reported levels of physical aggression over the past year and engaged in interactions designed to elicit social support; marital adjustment, and stability were assessed periodically over the first 10 years of marriage. Multilevel modeling revealed that negative support behavior mediated the relationship between physical aggression and 10-year marital adjustment levels whereas positive support behavior mediated the relationship between physical aggression and divorce status. These findings emphasize the need to look beyond conflict when explaining how aggression affects relationships and when working with couples with a history of physical aggression who are seeking to improve their relationships.

  13. Experiments and Modeling in Support of Generic Salt Repository Science

    Energy Technology Data Exchange (ETDEWEB)

    Bourret, Suzanne Michelle [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Stauffer, Philip H. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Weaver, Douglas James [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Caporuscio, Florie Andre [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Otto, Shawn [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Boukhalfa, Hakim [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Jordan, Amy B. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Chu, Shaoping [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Zyvoloski, George Anthony [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Johnson, Peter Jacob [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-01-19

    Salt is an attractive material for the disposition of heat generating nuclear waste (HGNW) because of its self-sealing, viscoplastic, and reconsolidation properties (Hansen and Leigh, 2012). The rate at which salt consolidates and the properties of the consolidated salt depend on the composition of the salt, including its content in accessory minerals and moisture, and the temperature under which consolidation occurs. Physicochemical processes, such as mineral hydration/dehydration salt dissolution and precipitation play a significant role in defining the rate of salt structure changes. Understanding the behavior of these complex processes is paramount when considering safe design for disposal of heat-generating nuclear waste (HGNW) in salt formations, so experimentation and modeling is underway to characterize these processes. This report presents experiments and simulations in support of the DOE-NE Used Fuel Disposition Campaign (UFDC) for development of drift-scale, in-situ field testing of HGNW in salt formations.

  14. Review of studies of support for siblings with developmental disabilities

    OpenAIRE

    2012-01-01

    The purpose of this paper is to review the study on siblings of disabilities, and investigate siblings'experience and the trend in supports for them. As a result, two important factors are considered, 1) the role as siblings of people with disabilities were changed with the times, from role as caretaker about people with disabilities into role as siblings who have their own concern and to be supported. 2) siblings have unusual concerns and opportunities, however, siblings must care for their ...

  15. Collaborative Development Planning Model of Supporting Product in Platform Innovation Ecosystem

    Directory of Open Access Journals (Sweden)

    Wei Zhang

    2014-01-01

    Full Text Available In order to improve the market value of the product, the platform enterprise often participates in the development process of supporting product of emerging industry’s platform innovation ecosystem. This paper puts forward a revenue sharing contract between the platform company and the supporting company by creating a collaborative development model of the supporting product in the ecosystem, and this paper studies the platform enterprise investment resource property's (complementary or substitution impact on the supporting enterprise R&D efforts and the revenue sharing factor and analyzes collaborative development mechanism of supporting product of emerging industry platform innovation ecosystem. The research indicates that when platform enterprise and supporting enterprise's resources are complementary, the supporting enterprise R&D effort level and revenue sharing coefficient increase as the platform company’s investment increases. When platform enterprise and supporting enterprise's resources are substitutive, the supporting enterprise’s R&D effort level and revenue sharing coefficient decrease as the platform company’s investment increases.

  16. The Integrated Use of Enterprise and System Dynamics Modelling Techniques in Support of Business Decisions

    Directory of Open Access Journals (Sweden)

    K. Agyapong-Kodua

    2012-01-01

    Full Text Available Enterprise modelling techniques support business process (reengineering by capturing existing processes and based on perceived outputs, support the design of future process models capable of meeting enterprise requirements. System dynamics modelling tools on the other hand are used extensively for policy analysis and modelling aspects of dynamics which impact on businesses. In this paper, the use of enterprise and system dynamics modelling techniques has been integrated to facilitate qualitative and quantitative reasoning about the structures and behaviours of processes and resource systems used by a Manufacturing Enterprise during the production of composite bearings. The case study testing reported has led to the specification of a new modelling methodology for analysing and managing dynamics and complexities in production systems. This methodology is based on a systematic transformation process, which synergises the use of a selection of public domain enterprise modelling, causal loop and continuous simulation modelling techniques. The success of the modelling process defined relies on the creation of useful CIMOSA process models which are then converted to causal loops. The causal loop models are then structured and translated to equivalent dynamic simulation models using the proprietary continuous simulation modelling tool iThink.

  17. User Modeling for Activity Recognition and Support in Ambient Assisted Living

    DEFF Research Database (Denmark)

    Hossain, Shabbir; Valente, Pedro Ricardo da Nova; Hallenborg, Kasper;

    intelligent technologies to support people with special demands to live longer periods in their proffered environment [2]. The prime challenges of the AAL are recognition of the assisted person’s current activity and providing appropriate support to the person [3]. But these systems need extensive studies...... on user modeling to be more efficient to adapt the changes of user capabilities and preferences which is strongly correlated with the prime challenges of AAL. In this paper, a user model has been proposed that tends to be used in the autonomous and reliable recognition....

  18. Modelling Per Capita Water Demand Change to Support System Planning

    Science.gov (United States)

    Garcia, M. E.; Islam, S.

    2016-12-01

    Water utilities have a number of levers to influence customer water usage. These include levers to proactively slow demand growth over time such as building and landscape codes as well as levers to decrease demands quickly in response to water stress including price increases, education campaigns, water restrictions, and incentive programs. Even actions aimed at short term reductions can result in long term water usage declines when substantial changes are made in water efficiency, as in incentives for fixture replacement or turf removal, or usage patterns such as permanent lawn watering restrictions. Demand change is therefore linked to hydrological conditions and to the effects of past management decisions - both typically included in water supply planning models. Yet, demand is typically incorporated exogenously using scenarios or endogenously using only price, though utilities also use rules and incentives issued in response to water stress and codes specifying standards for new construction to influence water usage. Explicitly including these policy levers in planning models enables concurrent testing of infrastructure and policy strategies and illuminates interactions between the two. The City of Las Vegas is used as a case study to develop and demonstrate this modeling approach. First, a statistical analysis of system data was employed to rule out alternate hypotheses of per capita demand decrease such as changes in population density and economic structure. Next, four demand sub-models were developed including one baseline model in which demand is a function of only price. The sub-models were then calibrated and tested using monthly data from 1997 to 2012. Finally, the best performing sub-model was integrated with a full supply and demand model. The results highlight the importance of both modeling water demand dynamics endogenously and taking a broader view of the variables influencing demand change.

  19. A THEORETICAL MODEL OF SUPPORTING OPEN SOURCE FRONT END INNOVATION THROUGH IDEA MANAGEMENT

    DEFF Research Database (Denmark)

    Aagaard, Annabeth

    2013-01-01

    Abstract: Most industries face continuing pressures from rising R&D costs, shortening product lifecycles and global competition. These challenges have increased the focus on shortening development times, which again puts pressure on the efficiency of front end innovation (FEI). In the attempt...... to overcome these various challenges companies are looking for new models to support FEI. This theoretical paper explores in what way idea management may be applied as a tool in facilitation of front end innovation and how this facilitation may be captured in a conceptual model. First, I show through...... a literature study, how idea management and front end innovation are related and how they may support each other. Secondly, I present a theoretical model of how idea management may be applied in support of the open source front end of new product innovations. Thirdly, I present different venues of further...

  20. SIMULATION MODEL FOR DESIGN SUPPORT OF INFOCOMM REDUNDANT SYSTEMS

    Directory of Open Access Journals (Sweden)

    V. A. Bogatyrev

    2016-09-01

    Full Text Available Subject of Research. The paper deals with the effectiveness of multipath transfer of request copies through the network and their redundant service without the use of laborious analytical modeling. The model and support tools for the design of highly reliable distributed systems based on simulation modeling have been created. Method. The effectiveness of many variants of service organization and delivery through the network to the query servers is formed and analyzed. Options for providing redundant service and delivery via the network to the servers of request copies are also considered. The choice of variants for the distribution and service of requests is carried out taking into account the criticality of queries to the time of their stay in the system. The request is considered successful if at least one of its copies is accurately delivered to the working server, ready to service the request received through a network, if it is fulfilled in the set time. Efficiency analysis of the redundant transmission and service of requests is based on the model built in AnyLogic 7 simulation environment. Main Results. Simulation experiments based on the proposed models have shown the effectiveness of redundant transmission of copies of queries (packets to the servers in the cluster through multiple paths with redundant service of request copies by a group of servers in the cluster. It is shown that this solution allows increasing the probability of exact execution of at least one copy of the request within the required time. We have carried out efficiency evaluation of destruction of outdated request copies in the queues of network nodes and the cluster. We have analyzed options for network implementation of multipath transfer of request copies to the servers in the cluster over disjoint paths, possibly different according to the number of their constituent nodes. Practical Relevance. The proposed simulation models can be used when selecting the optimal

  1. Drifting model approach to modeling based on weighted support vector machines

    Institute of Scientific and Technical Information of China (English)

    冯瑞; 宋春林; 邵惠鹤

    2004-01-01

    This paper proposes a novel drifting modeling (DM) method. Briefly, we first employ an improved SVMs algorithm named weighted support vector machines (W_SVMs), which is suitable for locally learning, and then the DM method using the algorithm is proposed. By applying the proposed modeling method to Fluidized Catalytic Cracking Unit (FCCU), the simulation results show that the property of this proposed approach is superior to global modeling method based on standard SVMs.

  2. Additional Research Needs to Support the GENII Biosphere Models

    Energy Technology Data Exchange (ETDEWEB)

    Napier, Bruce A.; Snyder, Sandra F.; Arimescu, Carmen

    2013-11-30

    In the course of evaluating the current parameter needs for the GENII Version 2 code (Snyder et al. 2013), areas of possible improvement for both the data and the underlying models have been identified. As the data review was implemented, PNNL staff identified areas where the models can be improved both to accommodate the locally significant pathways identified and also to incorporate newer models. The areas are general data needs for the existing models and improved formulations for the pathway models. It is recommended that priorities be set by NRC staff to guide selection of the most useful improvements in a cost-effective manner. Suggestions are made based on relatively easy and inexpensive changes, and longer-term more costly studies. In the short term, there are several improved model formulations that could be applied to the GENII suite of codes to make them more generally useful. • Implementation of the separation of the translocation and weathering processes • Implementation of an improved model for carbon-14 from non-atmospheric sources • Implementation of radon exposure pathways models • Development of a KML processor for the output report generator module data that are calculated on a grid that could be superimposed upon digital maps for easier presentation and display • Implementation of marine mammal models (manatees, seals, walrus, whales, etc.). Data needs in the longer term require extensive (and potentially expensive) research. Before picking any one radionuclide or food type, NRC staff should perform an in-house review of current and anticipated environmental analyses to select “dominant” radionuclides of interest to allow setting of cost-effective priorities for radionuclide- and pathway-specific research. These include • soil-to-plant uptake studies for oranges and other citrus fruits, and • Development of models for evaluation of radionuclide concentration in highly-processed foods such as oils and sugars. Finally, renewed

  3. Prerequisite Skills That Support Learning through Video Modeling

    Science.gov (United States)

    MacDonald, Rebecca P. F.; Dickson, Chata A.; Martineau, Meaghan; Ahearn, William H.

    2015-01-01

    The purpose of this study was to evaluate the relationship between tasks that require delayed discriminations such as delayed imitation and delayed matching to sample on acquisition of skills using video modeling. Twenty-nine participants with an ASD diagnosis were assessed on a battery of tasks including both immediate and delayed imitation and…

  4. The Very Best of the Millennium: Longitudinal Research and the Demand-Control-(Support) Model

    NARCIS (Netherlands)

    Lange, A.H.de; Taris, T.W.; Kompier, M.A.J.; Houtman, I.L.D.; Bongers, P.M.

    2003-01-01

    This study addressed the methodological quality of longitudinal research examining R. Karasek and T. Theorell's (1990) demand-control-(support) model and reviewed the results of the best of this research. Five criteria for evaluating methodological quality were used: type of design, length of time l

  5. Teaching Mathematics with Intelligent Support in Natural Language. Tertiary Education Students Working with Parametrized Modelling Activities

    Science.gov (United States)

    Rojano, Teresa; García-Campos, Montserrat

    2017-01-01

    This article reports the outcomes of a study that seeks to investigate the role of feedback, by way of an intelligent support system in natural language, in parametrized modelling activities carried out by a group of tertiary education students. With such a system, it is possible to simultaneously display on a computer screen a dialogue window and…

  6. Third Culture Kids and College Support: A Case Study

    Science.gov (United States)

    Holdren, Sarah Jennifer

    2013-01-01

    This single site case study applies the "Transition Cycle" framework (Pollock & Van Reken, 2009) to an institutionally-based, student-run support program for Third Culture Kids. The purpose of this study was to examine how Lewis and Clark College responded to the presence of Third Culture Kid, or Global Nomad, students on campus by…

  7. COMPARATIVE STUDY OF STUDENT SUPPORT SERVICES OF AIOU AND UKOU

    Directory of Open Access Journals (Sweden)

    Amtul Hafeez CHOUDHRY

    2008-01-01

    Full Text Available ABSTRACT This paper attempts to compare the availability, quality, similarities and differences of student support services in Allama Iqbal Open University (AIOU and United Kingdom Open University (UKOU and also to identify and enlist the deficiencies that AIOU students are facing in the student support services. The study found out that student support services of AIOU are quantitatively developing rapidly on the lines of UKOU. Though the regional campuses of both the institutions have almost the same status in the provision of student support service yet the UKOU students have better services in the guidance and counseling, modern communication facilities and career guidance. Moreover, there also exists Open University student association in UKOU. The conclusions led to the recommendation that AIOU regional campuses may be made independent like UKOU, counseling and guidance cell might be established at every regional campus, modern communication facilities like toll free, auto answer may be provided at AIOU regional campuses.

  8. Providing Real-time Sea Ice Modeling Support to the U.S. Coast Guard

    Science.gov (United States)

    Allard, Richard; Dykes, James; Hebert, David; Posey, Pamela; Rogers, Erick; Wallcraft, Alan; Phelps, Michael; Smedstad, Ole Martin; Wang, Shouping; Geiszler, Dan

    2016-04-01

    The Naval Research Laboratory (NRL) supported the U.S. Coast Guard Research Development Center (RDC) through a demonstration project during the summer and autumn of 2015. Specifically, a modeling system composed of a mesoscale atmospheric model, regional sea ice model, and regional wave model were loosely coupled to provide real-time 72-hr forecasts of environmental conditions for the Beaufort/Chukchi Seas. The system components included a 2-km regional Community Ice CodE (CICE) sea ice model, 15-km Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS) atmospheric model, and a 5-km regional WAVEWATCH III wave model. The wave model utilized modeled sea ice concentration fields to incorporate the effects of sea ice on waves. The other modeling components assimilated atmosphere, ocean, and ice observations available from satellite and in situ sources. The modeling system generated daily 72-hr forecasts of synoptic weather (including visibility), ice drift, ice thickness, ice concentration and ice strength for missions within the economic exclusion zone off the coast of Alaska and a transit to the North Pole in support of the National Science Foundation GEOTRACES cruise. Model forecasts graphics were shared on a common web page with selected graphical products made available via ftp for bandwidth limited users. Model ice thickness and ice drift show very good agreement compared with Cold Regions Research and Engineering Laboratory (CRREL) Ice Mass Balance buoys. This demonstration served as a precursor to a fully coupled atmosphere-ocean-wave-ice modeling system under development. National Ice Center (NIC) analysts used these model data products (CICE and COAMPS) along with other existing model and satellite data to produce the predicted 48-hr position of the ice edge. The NIC served as a liaison with the RDC and NRL to provide feedback on the model predictions. This evaluation provides a baseline analysis of the current models for future comparison studies

  9. Supporting Cells-a New Area in Cochlear Physiology Study

    Institute of Scientific and Technical Information of China (English)

    ZHAO Li-dong; LIU Jun; HU Yin-yan; SUN Jian-he; YANG Shi-ming

    2008-01-01

    For many years, studies about the cochlea have been mainly focused on sensory cells, i.e. the inner hair cell (IHC) and outer hair cell (OHC), and the neuron system. Supporting cells, such as Hensen's cells and Deiters' cells are less studied. Their physiological functions and other characteris-tics are not well documented. Nowadays, supporting cells are a new world attracting to scientists" inter-ests. The scope of this review is to detail the biological properties of the supporting cells, mainly Hensen's cells and Deiters' cells in the cochlea. Studies on this subject will be helpful in understanding physiology of the cochlea, and hopefully provide new approaches in treating diseases of inner ear.

  10. A THEORETICAL MODEL OF SOCIO-PSYCHOLOGICAL SUPPORT WORK PROCESSES FOR MANAGEMENT OF PRODUCTION TEAM

    OpenAIRE

    Tatyana Gennadevna Pronyushkina

    2015-01-01

    This article discusses the management of production team, in particular the developed theoretical model of socio-psychological support work processes for management of production team. The author of the research are formulated the purpose and objectives of social-psychological work on management of the production team. Developed in the study a theoretical model aimed at determining the conditions and the identification of features of effective management of the enterprise taking into account ...

  11. Agricultural climate impacts assessment for economic modeling and decision support

    Science.gov (United States)

    Thomson, A. M.; Izaurralde, R. C.; Beach, R.; Zhang, X.; Zhao, K.; Monier, E.

    2013-12-01

    A range of approaches can be used in the application of climate change projections to agricultural impacts assessment. Climate projections can be used directly to drive crop models, which in turn can be used to provide inputs for agricultural economic or integrated assessment models. These model applications, and the transfer of information between models, must be guided by the state of the science. But the methodology must also account for the specific needs of stakeholders and the intended use of model results beyond pure scientific inquiry, including meeting the requirements of agencies responsible for designing and assessing policies, programs, and regulations. Here we present methodology and results of two climate impacts studies that applied climate model projections from CMIP3 and from the EPA Climate Impacts and Risk Analysis (CIRA) project in a crop model (EPIC - Environmental Policy Indicator Climate) in order to generate estimates of changes in crop productivity for use in an agricultural economic model for the United States (FASOM - Forest and Agricultural Sector Optimization Model). The FASOM model is a forward-looking dynamic model of the US forest and agricultural sector used to assess market responses to changing productivity of alternative land uses. The first study, focused on climate change impacts on the UDSA crop insurance program, was designed to use available daily climate projections from the CMIP3 archive. The decision to focus on daily data for this application limited the climate model and time period selection significantly; however for the intended purpose of assessing impacts on crop insurance payments, consideration of extreme event frequency was critical for assessing periodic crop failures. In a second, coordinated impacts study designed to assess the relative difference in climate impacts under a no-mitigation policy and different future climate mitigation scenarios, the stakeholder specifically requested an assessment of a

  12. Study on Support Vector Machine Based on 1-Norm

    Institute of Scientific and Technical Information of China (English)

    PAN Mei-qin; HE Guo-ping; HAN Cong-ying; XUE Xin; SHI You-qun

    2006-01-01

    The model of optimization problem for Support Vector Machine(SVM) is provided, which based on the definitions of the dual norm and the distance between a point and its projection onto a given plane. The model of improved Support Vector Machine based on 1-norm (1 - SVM) is provided from the optimization problem, yet it is a discrete programming. With the smoothing technique and optimality knowledge, the discrete programming is changed into a continuous programming. Experimental results show that the algorithm is easy to implement and this method can select and suppress the problem features more efficiently.Illustrative examples show that the 1 - SVM deal with the linear or nonlinear classification well.

  13. The Role of Cognitive and Affective Empathy in Spouses' Support Interactions: An Observational Study.

    Science.gov (United States)

    Verhofstadt, Lesley; Devoldre, Inge; Buysse, Ann; Stevens, Michael; Hinnekens, Céline; Ickes, William; Davis, Mark

    2016-01-01

    The present study examined how support providers' empathic dispositions (dispositional perspective taking, empathic concern, and personal distress) as well as their situational empathic reactions (interaction-based perspective taking, empathic concern, and personal distress) relate to the provision of spousal support during observed support interactions. Forty-five committed couples provided questionnaire data and participated in two ten-minute social support interactions designed to assess behaviors when partners are offering and soliciting social support. A video-review task was used to assess situational forms of perspective taking (e.g., empathic accuracy), empathic concern and personal distress. Data were analyzed by means of the multi-level Actor-Partner Interdependence Model. Results revealed that providers scoring higher on affective empathy (i.e., dispositional empathic concern), provided lower levels of negative support. In addition, for male partners, scoring higher on cognitive empathy (i.e., situational perspective taking) was related to lower levels of negative support provision. For both partners, higher scores on cognitive empathy (i.e., situational perspective taking) correlated with more instrumental support provision. Male providers scoring higher on affective empathy (i.e., situational personal distress) provided higher levels of instrumental support. Dispositional perspective taking was related to higher scores on emotional support provision for male providers. The current study furthers our insight into the empathy-support link, by revealing differential effects (a) for men and women, (b) of both cognitive and affective empathy, and

  14. Local-Scale Air Quality Modeling in Support of Human Health and Exposure Research (Invited)

    Science.gov (United States)

    Isakov, V.

    2010-12-01

    Spatially- and temporally-sparse information on air quality is a key concern for air-pollution-related environmental health studies. Monitor networks are sparse in both space and time, are costly to maintain, and are often designed purposely to avoid detecting highly localized sources. Recent studies have shown that more narrowly defining the geographic domain of the study populations and improvements in the measured/estimated ambient concentrations can lead to stronger associations between air pollution and hospital admissions and mortality records. Traditionally, ambient air quality measurements have been used as a primary input to support human health and exposure research. However, there is increasing evidence that the current ambient monitoring network is not capturing sharp gradients in exposure due to the presence of high concentration levels near, for example, major roadways. Many air pollutants exhibit large concentration gradients near large emitters such as major roadways, factories, ports, etc. To overcome these limitations, researchers are now beginning to use air quality models to support air pollution exposure and health studies. There are many advantages to using air quality models over traditional approaches based on existing ambient measurements alone. First, models can provide spatially- and temporally-resolved concentrations as direct input to exposure and health studies and thus better defining the concentration levels for the population in the geographic domain. Air quality models have a long history of use in air pollution regulations, and supported by regulatory agencies and a large user community. Also, models can provide bidirectional linkages between sources of emissions and ambient concentrations, thus allowing exploration of various mitigation strategies to reduce risk to exposure. In order to provide best estimates of air concentrations to support human health and exposure studies, model estimates should consider local-scale features

  15. Formal Analysis of an Agent Support Model for Behaviour Change Intervention

    Directory of Open Access Journals (Sweden)

    Ojeniyi Adegoke

    2016-12-01

    Full Text Available Agent applications have been widely used in behaviour change intervention nowadays. This is due to the four features of agents: proactive, reactivity, social ability and autonomy.  However, psychological reactance is one of the major limiting causes of agent interventions. Although, many studies have investigated into both psychological reactance and behaviour change nevertheless how reactive intervention can be supported to obtain an improved behaviour change intervention is still lacking in most previous studies. Therefore, this paper describes the formal analysis of agent support model for behaviour change intervention. The analysis made use of two widely accepted approaches in agent formal evaluation namely mathematical analysis and automated verification. The mathematical analysis examined the correctness of the formal model representation and formalization that aimed to ensure that all syntax and semantic representations used in the formal model is consistent. The mathematical analysis used equilibrium property to explore the formal model consistency. Likewise, automated verification depicts the checking of the model properties against its specifications and theoretical traces.  The automated verification used Temporal Trace Language (TTL, which verifies the model properties and states against generated traces. The paper presents an agent support model that allows building agent-based software and applications that deflect psychological reactance and enhance an improved behavioural change intervention.

  16. Linking customisation of ERP systems to support effort: an empirical study

    Science.gov (United States)

    Koch, Stefan; Mitteregger, Kurt

    2016-01-01

    The amount of customisation to an enterprise resource planning (ERP) system has always been a major concern in the context of the implementation. This article focuses on the phase of maintenance and presents an empirical study about the relationship between the amount of customising and the resulting support effort. We establish a structural equation modelling model that explains support effort using customisation effort, organisational characteristics and scope of implementation. The findings using data from an ERP provider show that there is a statistically significant effect: with an increasing amount of customisation, the quantity of telephone calls to support increases, as well as the duration of each call.

  17. Family support and acceptance, gay male identity formation, and psychological adjustment: a path model.

    Science.gov (United States)

    Elizur, Y; Ziv, M

    2001-01-01

    While heterosexist family undermining has been demonstrated to be a developmental risk factor in the life of persons with same-gender orientation, the issue of protective family factors is both controversial and relatively neglected. In this study of Israeli gay males (N = 114), we focused on the interrelations of family support, family acceptance and family knowledge of gay orientation, and gay male identity formation, and their effects on mental health and self-esteem. A path model was proposed based on the hypotheses that family support, family acceptance, family knowledge, and gay identity formation have an impact on psychological adjustment, and that family support has an effect on gay identity formation that is mediated by family acceptance. The assessment of gay identity formation was based on an established stage model that was streamlined for cross-cultural practice by defining three basic processes of same-gender identity formation: self-definition, self-acceptance, and disclosure (Elizur & Mintzer, 2001). The testing of our conceptual path model demonstrated an excellent fit with the data. An alternative model that hypothesized effects of gay male identity on family acceptance and family knowledge did not fit the data. Interpreting these results, we propose that the main effect of family support/acceptance on gay identity is related to the process of disclosure, and that both general family support and family acceptance of same-gender orientation play a significant role in the psychological adjustment of gay men.

  18. Cluster-support interactions and morphology of MoS2 nanoclusters in a graphite-supported hydrotreating model catalyst.

    Science.gov (United States)

    Kibsgaard, Jakob; Lauritsen, Jeppe V; Laegsgaard, Erik; Clausen, Bjerne S; Topsøe, Henrik; Besenbacher, Flemming

    2006-10-25

    Supported MoS(2) nanoparticles constitute the active component of the important hydrotreating catalysts used for industrial upgrading and purification of the oil feedstock for the production of fossil fuels with a low environmental load. We have synthesized and studied a model system of the hydrotreating catalyst consisting of MoS(2) nanoclusters supported on a graphite surface in order to resolve a number of very fundamental questions related to the atomic-scale structure and morphology of the active clusters and in particular the effect of a substrate used in some types of hydrotreating catalysts. Scanning tunneling microscopy (STM) is used to image the atomic-scale structure of graphite-supported MoS(2) nanoclusters in real space. It is found that the pristine graphite (0001) surface does not support a high dispersion of MoS(2), but by introducing a small density of defects in the surface, highly dispersed MoS(2) nanoclusters could be synthesized on the graphite. From high-resolution STM images it is found that MoS(2) nanoclusters synthesized at low temperature in a sulfiding atmosphere preferentially grow as single-layer clusters, whereas clusters synthesized at 1200 K grow as multilayer slabs oriented with the MoS(2)(0001) basal plane parallel to the graphite surface. The morphology of both single-layer and multilayer MoS(2) nanoclusters is found to be preferentially hexagonal, and atom-resolved images of the top facet of the clusters provide new atomic-scale information on the MoS(2)-HOPG bonding. The structure of the two types of catalytically interesting edges terminating the hexagonal MoS(2) nanoclusters is also resolved in atomic detail in STM images, and from these images it is possible to reveal the atomic structure of both edges and the location and coverage of sulfur and hydrogen adsorbates.

  19. Longitudinal Effects of Student-Perceived Classroom Support on Motivation – A Latent Change Model

    Science.gov (United States)

    Lazarides, Rebecca; Raufelder, Diana

    2017-01-01

    This two-wave longitudinal study examined how developmental changes in students’ mastery goal orientation, academic effort, and intrinsic motivation were predicted by student-perceived support of motivational support (support for autonomy, competence, and relatedness) in secondary classrooms. The study extends previous knowledge that showed that support for motivational support in class is related to students’ intrinsic motivation as it focused on the developmental changes of a set of different motivational variables and the relations of these changes to student-perceived motivational support in class. Thus, differential classroom effects on students’ motivational development were investigated. A sample of 1088 German students was assessed in the beginning of the school year when students were in grade 8 (Mean age = 13.70, SD = 0.53, 54% girls) and again at the end of the next school year when students were in grade 9. Results of latent change models showed a tendency toward decline in mastery goal orientation and a significant decrease in academic effort from grade 8 to 9. Intrinsic motivation did not decrease significantly across time. Student-perceived support of competence in class predicted the level and change in students’ academic effort. The findings emphasized that it is beneficial to create classroom learning environments that enhance students’ perceptions of competence in class when aiming to enhance students’ academic effort in secondary school classrooms.

  20. Use of Participatory Systems Dynamics Modelling to Generate User-Friendly Decision Support Systems for the Design of Management Policies for Complex Human-Environmental Systems: A Case Study from the Varied Socio-environmental Landscape of Guatemala

    Science.gov (United States)

    Malard, J. J.; Baig, A. I.; Carrera, J.; Mellini, L.; Pineda, P.; Monterroso, O.; Melgar-Quiñonez, H.; Adamowski, J. F.; Halbe, J.; Monardes, H.; Gálvez, J.

    2014-12-01

    The design of effective management policies for socioenvironmental systems requires the development of comprehensive, yet sufficiently simple, decision support systems (DSS) for policy makers. Guatemala is a particularly complex case, combining an enormous diversity of climates, geographies, and agroecosystems within a very small geographical scale. Although food insecurity levels are very high, indicating a generally inadequate management of the varied agroecosystems of the country, different regions have shown vastly different trends in food insecurity over the past decade, including between regions with similar geophysical and climatic characteristics and/or governmental programmes (e.g., agricultural support). These observations suggest two important points: firstly, that not merely environmental conditions but rather socio-environmental interactions play a crucial role in the successful management of human-environmental systems, and, secondly, that differences in the geophysical and climatic environments between the diverse regions significantly impact the success or failure of policies. This research uses participatory systems dynamic modelling (SDM) to build a DSS that allows local decision-makers to (1) determine the impact of current and potential policies on agroecosystem management and food security, and (2) design sustainable and resilient policies for the future. The use of participatory SDM offers several benefits, including the active involvement of the end recipients in the development of the model, greatly increasing its acceptability; the integration of physical (e.g., precipitation, crop yield) and social components in one model; adequacy for modelling long-term trends in response to particular policy decisions; and the inclusion of local stakeholder knowledge on system structure and trends through the participatory process. Preliminary results suggest that there is a set of common variables explaining the generally high levels of food insecurity

  1. The Interrogative Model of Inquiry and Computer-Supported Collaborative Learning

    Science.gov (United States)

    Hakkarainen, Kai; Sintonen, Matti

    The purpose of the study was to examine how the Interrogative Modelof Inquiry (I-Model), developed by Jaakko Hintikka and Matti Sintonenfor the purposes of epistemology and philosophy of science, could be applied to analyze elementary schoolstudents'' process of inquiry in computer-supported learning. We review the basic assumptions of I-Model,report results of empirical investigation of the model in the context of computer-supportedcollaborative learning, and discuss pedagogical implications of the model. The results of the studyfurnished evidence that elementary school students were able to transform initially vagueexplanation-seeking question to a series of more specific subordinate questions while pursuing theirknowledge-seeking inquiry. The evidence presented indicates that, in an appropriate environment, it is entirelypossible for young students, with computer-supportfor collaborative learning, to engage in sophisticatedknowledge seeking analogous to scientific inquiry. We argue that the interrogative approach to inquiry canproductively be applied for conceptualizing inquiry in the context of computer-supported learning.

  2. Developing a workplace breast feeding support model for employed lactating mothers.

    Science.gov (United States)

    Yimyam, Susanha; Hanpa, Wasana

    2014-06-01

    Resuming work is often considered an obstacle for continued breast feeding. The objectives of this participatory action research study were to develop a breast feeding support model in the workplace and to compare breast feeding rates before and after implementation of the breast feeding support campaign. Twenty-four women participated before the implementation of the breast feeding support campaign, whereas 31 women participated after the campaign. Data were collected by interviewing employed women about their breast feeding practices within six months post partum. Additional data were collected through interviews with the workplace administrator and head of work sections as well as observation of the breast feeding support campaigns. Qualitative data were analysed using thematic analysis, whereas quantitative data were analysed using descriptive statistics and χ(2) test. The workplace breast feeding support model was developed based on the concept of Mother-Friendly Workplace Initiatives by the World Alliance for Breastfeeding Action (WABA) and the Thai government׳s promotion of a workplace breast feeding corner. Within this model, a committee for breast feeding support was created for working with the research team to develop breast feeding activities and media for breast feeding education and breast feeding support campaigns in the workplace. Breast feeding rates at six months after implementation of the breast feeding support campaign were significantly higher than rates before, both for exclusive breast feeding and any breast feeding at levels .004 and .033, respectively. These results suggest that breast feeding should be encouraged in every workplace depending on context. Individual advice and help for employed mothers should be provided from pregnancy through weaning in the postpartum period. Copyright © 2014 Elsevier Ltd. All rights reserved.

  3. Platinum supported catalysts for carbon monoxide preferential oxidation: Study of support influence

    Energy Technology Data Exchange (ETDEWEB)

    Padilla, R.; Rodriguez, L.; Serrano-Lotina, A.; Daza, L. [Instituto de Catalisis y Petroleoquimica (CSIC), C/Marie Curie 2, Campus Cantoblanco, 28049 Madrid (Spain); Benito, M. [Instituto de Catalisis y Petroleoquimica (CSIC), C/Marie Curie 2, Campus Cantoblanco, 28049 Madrid (Spain); Centro de Investigaciones Energeticas Medioambientales y Tecnologicas (CIEMAT), Av. Complutense 22, 28040 Madrid (Spain)

    2009-07-01

    The aim of this work is to study the influence of the addition of different oxides to an alumina support, on surface acidity and platinum reducibility in platinum-based catalysts, as well as their effect on the activity and selectivity in CO preferential oxidation, in presence of hydrogen. A correlation between surface acidity and acid strength of surface sites and metal reducibility was obtained, being Pt-support interaction a function of the acid sites concentration under a particular temperature range. In platinum supported on alumina catalysts, CO oxidation follows a Langmuir-Hinshelwood mechanism, where O{sub 2} and CO compete in the adsorption on the same type of active sites. It is noteworthy that the addition of La{sub 2}O{sub 3} modifies the reaction mechanism. In this case, CO is not only adsorbed on the Pt active sites but also on La{sub 2}O{sub 3}, forming bridge bonded carbonates which leads to high reactivity at low temperatures. An increase on temperature produces CO desorption from Pt surface sites and favours oxygen adsorption producing CO{sub 2}. CO oxidation with surface hydroxyl groups was activated producing simultaneously CO{sub 2} and H{sub 2}. (author)

  4. A flexible and efficient multi-model framework in support of water management

    Science.gov (United States)

    Wolfs, Vincent; Tran Quoc, Quan; Willems, Patrick

    2016-05-01

    Flexible, fast and accurate water quantity models are essential tools in support of water management. Adjustable levels of model detail and the ability to handle varying spatial and temporal resolutions are requisite model characteristics to ensure that such models can be employed efficiently in various applications. This paper uses a newly developed flexible modelling framework that aims to generate such models. The framework incorporates several approaches to model catchment hydrology, rivers and floodplains, and the urban drainage system by lumping processes on different levels. To illustrate this framework, a case study of integrated hydrological-hydraulic modelling is elaborated for the Grote Nete catchment in Belgium. Three conceptual rainfall-runoff models (NAM, PDM and VHM) were implemented in a generalized model structure, allowing flexibility in the spatial resolution by means of an innovative disaggregation/aggregation procedure. They were linked to conceptual hydraulic models of the rivers in the catchment, which were developed by means of an advanced model structure identification and calibration procedure. The conceptual models manage to emulate the simulation results of a detailed full hydrodynamic model accurately. The models configured using the approaches of this framework are well-suited for many applications in water management due to their very short calculation time, interfacing possibilities and adjustable level of detail.

  5. Exploration of Infertile Couples’ Support Requirements: A Qualitative Study

    Directory of Open Access Journals (Sweden)

    Fatemeh Jafarzadeh-Kenarsari

    2015-04-01

    Full Text Available Background: Due to high prevalence of infertility, increasing demand for infertility treatment, and provision of high quality of fertility care, it is necessary for healthcare professionals to explore infertile couples’ expectations and needs. Identification of these needs can be a prerequisite to plan the effective supportive interventions. The current study was, therefore, conducted in an attempt to explore and to understand infertile couples’ experiences and needs. Materials and Methods: This is a qualitative study based on a content analysis approach. The participants included 26 infertile couples (17 men and 26 women and 7 members of medical personnel (3 gynecologists and 4 midwives as the key informants. The infertile couples were selected from patients attending public and private infertility treatment centers and private offices of infertility specialists in Isfahan and Rasht, Iran, during 2012-2013. They were selected through purposive sampling method with maximum variation. In-depth unstructured interviews and field notes were used for data gathering among infertile couples. The data from medical personnel was collected through semi-structured interviews. The interview data were analyzed using conventional content analysis method. Results: Data analysis revealed four main categories of infertile couples’ needs, including: i. Infertility and social support, ii. Infertility and financial support, iii. Infertility and spiritual support and iv. Infertility and informational support. The main theme of all these categories was assistance and support. Conclusion: The study showed that in addition to treatment and medical needs, infertile couples encounter various challenges in different emotional, psychosocial, communicative, cognitive, spiritual, and economic aspects that can affect various areas of their life and lead to new concerns, problems, and demands. Thus, addressing infertile couples’ needs and expectations alongside their

  6. Connecting Biochemical Photosynthesis Models with Crop Models to Support Crop Improvement

    Science.gov (United States)

    Wu, Alex; Song, Youhong; van Oosterom, Erik J.; Hammer, Graeme L.

    2016-01-01

    The next advance in field crop productivity will likely need to come from improving crop use efficiency of resources (e.g., light, water, and nitrogen), aspects of which are closely linked with overall crop photosynthetic efficiency. Progress in genetic manipulation of photosynthesis is confounded by uncertainties of consequences at crop level because of difficulties connecting across scales. Crop growth and development simulation models that integrate across biological levels of organization and use a gene-to-phenotype modeling approach may present a way forward. There has been a long history of development of crop models capable of simulating dynamics of crop physiological attributes. Many crop models incorporate canopy photosynthesis (source) as a key driver for crop growth, while others derive crop growth from the balance between source- and sink-limitations. Modeling leaf photosynthesis has progressed from empirical modeling via light response curves to a more mechanistic basis, having clearer links to the underlying biochemical processes of photosynthesis. Cross-scale modeling that connects models at the biochemical and crop levels and utilizes developments in upscaling leaf-level models to canopy models has the potential to bridge the gap between photosynthetic manipulation at the biochemical level and its consequences on crop productivity. Here we review approaches to this emerging cross-scale modeling framework and reinforce the need for connections across levels of modeling. Further, we propose strategies for connecting biochemical models of photosynthesis into the cross-scale modeling framework to support crop improvement through photosynthetic manipulation.

  7. Connecting Biochemical Photosynthesis Models with Crop Models to Support Crop Improvement

    Directory of Open Access Journals (Sweden)

    Alex Wu

    2016-10-01

    Full Text Available The next advance in field crop productivity will likely need to come from improving crop use efficiency of resources (e.g. light, water and nitrogen, aspects of which are closely linked with overall crop photosynthetic efficiency. Progress in genetic manipulation of photosynthesis is confounded by uncertainties of consequences at crop level because of difficulties connecting across scales. Crop growth and development simulation models that integrate across biological levels of organization and use a gene-to-phenotype modelling approach may present a way forward. There has been a long history of development of crop models capable of simulating dynamics of crop physiological attributes. Many crop models incorporate canopy photosynthesis (source as a key driver for crop growth, while others derive crop growth from the balance between source- and sink-limitations. Modelling leaf photosynthesis has progressed from empirical modelling via light response curves to a more mechanistic basis, having clearer links to the underlying biochemical processes of photosynthesis. Cross-scale modelling that connects models at the biochemical and crop levels and utilises developments in upscaling leaf-level models to canopy models has the potential to bridge the gap between photosynthetic manipulation at the biochemical level and its consequences on crop productivity. Here we review approaches to this emerging cross-scale modelling framework and reinforce the need for connections across levels of modelling. Further, we propose strategies for connecting biochemical models of photosynthesis into the cross-scale modelling framework to support crop improvement through photosynthetic manipulation.

  8. Social support for women of reproductive age and its predictors: a population-based study

    Science.gov (United States)

    2012-01-01

    Background Social support is an exchange of resources between at least two individuals perceived by the provider or recipient to be intended to promote the health of the recipient. Social support is a major determinant of health. The objective of this study was to determine the perceived social support and its associated sociodemographic factors among women of reproductive age. Methods This was a population-based cross-sectional study with multistage random cluster sampling of 1359 women of reproductive age. Data were collected using questionnaires on sociodemographic factors and perceived social support (PRQ85-Part 2). The relationship between the dependent variable (perceived social support) and the independent variables (sociodemographic characteristics) was analyzed using the multivariable linear regression model. Results The mean score of social support was 134.3 ± 17.9. Women scored highest in the “worth” dimension and lowest in the “social integration” dimension. Multivariable linear regression analysis indicated that the variables of education, spouse’s occupation, Sufficiency of income for expenses and primary support source were significantly related to the perceived social support. Conclusion Sociodemographic factors affect social support and could be considered in planning interventions to improve social support for Iranian women. PMID:22988834

  9. Who benefits from supported employment: a meta-analytic study.

    LENUS (Irish Health Repository)

    Campbell, Kikuko

    2012-02-01

    AIMS: This meta-analysis sought to identify which subgroups of clients with severe mental illness (SMI) benefited from evidence-based supported employment. METHODS: We used meta-analysis to pool the samples from 4 randomized controlled trials comparing the Individual Placement and Support (IPS) model of supported employment to well-regarded vocational approaches using stepwise models and brokered services. Meta-analysis was used to determine the magnitude of effects for IPS\\/control group differences within specific client subgroups (defined by 2 work history, 7 sociodemographic, and 8 clinical variables) on 3 competitive employment outcomes (obtaining a job, total weeks worked, and job tenure). RESULTS: The findings strongly favored IPS, with large effect sizes across all outcomes: 0.96 for job acquisition, 0.79 for total weeks worked, and 0.74 for job tenure. Overall, 90 (77%) of the 117 effect sizes calculated for the 39 subgroups exceeded 0.70, and all 117 favored IPS. CONCLUSIONS: IPS produces better competitive employment outcomes for persons with SMI than alternative vocational programs regardless of background demographic, clinical, and employment characteristics.

  10. Progress report on terrestrial model development (TERRA and HABITAT): Research in support of the CERES earth system modeling project

    Energy Technology Data Exchange (ETDEWEB)

    Kercher, J.R.; Axelrod, M.C.; Amthor, J.S. [Lawrence Livermore National Lab., CA (United States); Chambers, J.Q. [Lawrence Livermore National Lab., CA (United States)]|[California Univ., Santa Barbara, CA (United States). Dept. of Biological Sciences

    1994-05-01

    Although there is only a developing understanding of the many processes affecting and coupling the atmosphere, oceans, and land systems of the earth, we are embarked on an effort to construct a prototype model (CERES) of the full Earth system. As part of this effort, we have proposed to the EPA to construct an Earth System Framework for the CERES model that supports flexible, modular development, coupling, and replacement of Earth System submodel components. This project has two specific areas of study. These areas are (1) the terrestrial contribution to the biogeochemical cycling and (2) the interactions of climate and the land ecosystems. The objectives of these two areas of study are: development of a globally distributed model of terrestrial ecosystem productivity, linking model to the submodels, using coupled system to explore biogeochemical cycles, exploration of greenhouse effect, development of models of surface, and the study of the dynamics of climate change and vegetation response.

  11. GROUT HOPPER MODELING STUDY

    Energy Technology Data Exchange (ETDEWEB)

    Lee, S.

    2011-08-30

    The Saltstone facility has a grout hopper tank to provide agitator stirring of the Saltstone feed materials. The tank has about 300 gallon capacity to provide a larger working volume for the grout slurry to be held in case of a process upset, and it is equipped with a mechanical agitator, which is intended to keep the grout in motion and agitated so that it won't start to set up. The dry feeds and the salt solution are already mixed in the mixer prior to being transferred to the hopper tank. The hopper modeling study through this work will focus on fluid stirring and agitation, instead of traditional mixing in the literature, in order to keep the tank contents in motion during their residence time so that they will not be upset or solidified prior to transferring the grout to the Saltstone disposal facility. The primary objective of the work is to evaluate the flow performance for mechanical agitators to prevent vortex pull-through for an adequate stirring of the feed materials and to estimate an agitator speed which provides acceptable flow performance with a 45{sup o} pitched four-blade agitator. In addition, the power consumption required for the agitator operation was estimated. The modeling calculations were performed by taking two steps of the Computational Fluid Dynamics (CFD) modeling approach. As a first step, a simple single-stage agitator model with 45{sup o} pitched propeller blades was developed for the initial scoping analysis of the flow pattern behaviors for a range of different operating conditions. Based on the initial phase-1 results, the phase-2 model with a two-stage agitator was developed for the final performance evaluations. A series of sensitivity calculations for different designs of agitators and operating conditions have been performed to investigate the impact of key parameters on the grout hydraulic performance in a 300-gallon hopper tank. For the analysis, viscous shear was modeled by using the Bingham plastic approximation

  12. GROUT HOPPER MODELING STUDY

    Energy Technology Data Exchange (ETDEWEB)

    Lee, S.

    2011-08-30

    The Saltstone facility has a grout hopper tank to provide agitator stirring of the Saltstone feed materials. The tank has about 300 gallon capacity to provide a larger working volume for the grout slurry to be held in case of a process upset, and it is equipped with a mechanical agitator, which is intended to keep the grout in motion and agitated so that it won't start to set up. The dry feeds and the salt solution are already mixed in the mixer prior to being transferred to the hopper tank. The hopper modeling study through this work will focus on fluid stirring and agitation, instead of traditional mixing in the literature, in order to keep the tank contents in motion during their residence time so that they will not be upset or solidified prior to transferring the grout to the Saltstone disposal facility. The primary objective of the work is to evaluate the flow performance for mechanical agitators to prevent vortex pull-through for an adequate stirring of the feed materials and to estimate an agitator speed which provides acceptable flow performance with a 45{sup o} pitched four-blade agitator. In addition, the power consumption required for the agitator operation was estimated. The modeling calculations were performed by taking two steps of the Computational Fluid Dynamics (CFD) modeling approach. As a first step, a simple single-stage agitator model with 45{sup o} pitched propeller blades was developed for the initial scoping analysis of the flow pattern behaviors for a range of different operating conditions. Based on the initial phase-1 results, the phase-2 model with a two-stage agitator was developed for the final performance evaluations. A series of sensitivity calculations for different designs of agitators and operating conditions have been performed to investigate the impact of key parameters on the grout hydraulic performance in a 300-gallon hopper tank. For the analysis, viscous shear was modeled by using the Bingham plastic approximation

  13. Internal Models Support Specific Gaits in Orthotic Devices

    DEFF Research Database (Denmark)

    Matthias Braun, Jan; Wörgötter, Florentin; Manoonpong, Poramate

    2014-01-01

    Patients use orthoses and prosthesis for the lower limbs to support and enable movements, they can not or only with difficulties perform themselves. Because traditional devices support only a limited set of movements, patients are restricted in their mobility. A possible approach to overcome...

  14. Cause and Event: Supporting Causal Claims through Logistic Models

    Science.gov (United States)

    O'Connell, Ann A.; Gray, DeLeon L.

    2011-01-01

    Efforts to identify and support credible causal claims have received intense interest in the research community, particularly over the past few decades. In this paper, we focus on the use of statistical procedures designed to support causal claims for a treatment or intervention when the response variable of interest is dichotomous. We identify…

  15. Developing a Model to Support Students in Solving Subtraction

    Directory of Open Access Journals (Sweden)

    Nila Mareta Murdiyani

    2013-01-01

    Full Text Available Subtraction has two meanings and each meaning leads to the differentstrategies. The meaning of “taking away something” suggests a directsubtraction, while the meaning of “determining the difference betweentwo numbers” is more likely to be modeled as indirect addition. Manyprior researches found that the second meaning and second strategy rarely appeared in the mathematical textbooks and teacher explanations, including in Indonesia. Therefore, this study was conducted to contribute to the development of a local instruction theory for subtraction by designing instructional activities that can facilitate first grade of primary school students to develop a model in solving two digit numbers subtraction. Consequently, design research was chosen as an appropriate approach for achieving the research aim and Realistic Mathematics Education (RME was used as a guide to design the lesson. This study involved 6 students in the pilot experiment, 31 students in the teaching experiment, and a first grade teacher of SDN 179 Palembang. The result of this study shows that the beads string could bridge students from the contextual problems (taking ginger candies and making grains bracelets to the use of the empty number line. It also shows that the empty number line could promote students to use different strategies (direct subtraction, indirect addition, and indirect subtraction in solving subtraction problems. Based on these findings, it is recommended to apply RME in the teaching learning process to make it more meaningful for students.

  16. Epidemiological models to support animal disease surveillance activities

    DEFF Research Database (Denmark)

    Willeberg, Preben; Paisley, Larry; Lind, Peter

    2011-01-01

    Epidemiological models have been used extensively as a tool in improving animal disease surveillance activities. A review of published papers identified three main groups of model applications: models for planning surveillance, models for evaluating the performance of surveillance systems...... and models for interpreting surveillance data as part of ongoing control or eradication programmes. Two Danish examples are outlined. The first illustrates how models were used in documenting country freedom from disease (trichinellosis) and the second demonstrates how models were of assistance in predicting...

  17. Modelling supported driving as an optimal control cycle: Framework and model characteristics

    CERN Document Server

    Wang, Meng; Daamen, Winnie; Hoogendoorn, Serge P; van Arem, Bart

    2014-01-01

    Driver assistance systems support drivers in operating vehicles in a safe, comfortable and efficient way, and thus may induce changes in traffic flow characteristics. This paper puts forward a receding horizon control framework to model driver assistance and cooperative systems. The accelerations of automated vehicles are controlled to optimise a cost function, assuming other vehicles driving at stationary conditions over a prediction horizon. The flexibility of the framework is demonstrated with controller design of Adaptive Cruise Control (ACC) and Cooperative ACC (C-ACC) systems. The proposed ACC and C-ACC model characteristics are investigated analytically, with focus on equilibrium solutions and stability properties. The proposed ACC model produces plausible human car-following behaviour and is unconditionally locally stable. By careful tuning of parameters, the ACC model generates similar stability characteristics as human driver models. The proposed C-ACC model results in convective downstream and abso...

  18. Analysis of Studies on Social Support and Children of Depressed Mothers: A Systematic Review

    Directory of Open Access Journals (Sweden)

    Sonia Regina Loureiro

    2014-12-01

    Full Text Available Recognizing the conditions that minimize the impact of maternal depression on children has clinical relevance. The present review aimed to analyze recent empirical studies that have investigated the associations between maternal depression and different social support conditions for school-aged children. We systematically reviewed empirical articles indexed from 2007 to 2014 in the following databases: MEDLINE, PubMed, PsycINFO, Web of Science, LILACS and SciELO. Three keywords were used: maternal depression, social support and child behavior. Twenty-seven articles were included and analyzed. These studies included a broad range of contextual risk factors and social support conditions, and in their predictive models, it was found that less contextual risk and greater parental resources and social support were predictors of fewer problems for the children. The identification of social support sources that attenuate the effect of maternal depression on child outcomes has implications for the development of prevention and intervention programs.

  19. Interpreting linear support vector machine models with heat map molecule coloring

    Directory of Open Access Journals (Sweden)

    Rosenbaum Lars

    2011-03-01

    Full Text Available Abstract Background Model-based virtual screening plays an important role in the early drug discovery stage. The outcomes of high-throughput screenings are a valuable source for machine learning algorithms to infer such models. Besides a strong performance, the interpretability of a machine learning model is a desired property to guide the optimization of a compound in later drug discovery stages. Linear support vector machines showed to have a convincing performance on large-scale data sets. The goal of this study is to present a heat map molecule coloring technique to interpret linear support vector machine models. Based on the weights of a linear model, the visualization approach colors each atom and bond of a compound according to its importance for activity. Results We evaluated our approach on a toxicity data set, a chromosome aberration data set, and the maximum unbiased validation data sets. The experiments show that our method sensibly visualizes structure-property and structure-activity relationships of a linear support vector machine model. The coloring of ligands in the binding pocket of several crystal structures of a maximum unbiased validation data set target indicates that our approach assists to determine the correct ligand orientation in the binding pocket. Additionally, the heat map coloring enables the identification of substructures important for the binding of an inhibitor. Conclusions In combination with heat map coloring, linear support vector machine models can help to guide the modification of a compound in later stages of drug discovery. Particularly substructures identified as important by our method might be a starting point for optimization of a lead compound. The heat map coloring should be considered as complementary to structure based modeling approaches. As such, it helps to get a better understanding of the binding mode of an inhibitor.

  20. Study of customer acquisition support system for mobile operators

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The mobile operators are struggling for improving the market share and the revenues.One important method is to acquire the potential customers from the competitors.This article presents a whole acquisition process and an integrated framework for customer acquisition support system (CASS).The core of the system is the customer acquisition identification models which are built based on data mining technologies.The CASS can automate the acquisition process and decrease the cost and implement precise marketing strategy for mobile operators.

  1. 支持向量机的国产飞机研制费用建模估算%Domestic Aircraft R & D Cost Modeling and Estimation Study Based on Support Vector Machine

    Institute of Scientific and Technical Information of China (English)

    马明昭; 王夷; 李静龙

    2014-01-01

    国产飞机研制费用建模因样本容量有限而导致了传统多元统计回归模型的适用性问题。应用支持向量机(SVM)理论进行多维空间小样本建模与估算,以国产运输机研制费为例,基于设计专业分解研制费用样本,采用变量投影重要性指标(VIP)筛选自变量,建立研制费用估算模型,并使用交叉检验与误差概率估计验证模型有效性。该模型方法适用于国产飞机研制费用估算,且可用于飞机改型及改装的经济性定量评估,便于项目早期决策使用。%Because of the lack of samples of china aircraft in modeling,the traditional multivariate regression aircraft cost estimation model can be only used in restricted area. To solve this problem, Support Vector Machine (SVM)theory is applied to deal with the multidimensional space with small sample modeling and estimation. Based on the cost breakdown structure of the specialties according to the cost sample data,the domestic transporter aircraft R&D cost estimation model is built by the combination of Variable Importance in Projection (VIP) for model independent variable selection , cross-validation ,estimation error probability estimates for checking model validity and SVM theory for modeling .The methods of cost modeling discussed here which can estimate the domestic aircraft R&D cost efficiently and reliably,can be easily used for economy evaluation and decision-making of aircraft retrofit in the early stages.

  2. Administrative support of novice science teachers: A multiple case study

    Science.gov (United States)

    Iacuone, Leann

    Novice science teachers leave the confines of colleges and universities to embark on a new adventure in education where they aim to influence young minds, make a difference in the world, and share their love for their content. They have learned their pedagogical skills with the support and assistance of fellow classmates, a supporting professor, and a cooperating teacher. These teachers enter their new place of employment and are met with many unexpected challenges, such as a lack of resources, no one to ask questions of, and a busy staff with already established relationships, causing them to feel an overall lack of support and resulting in many new teachers rethinking their career choice and leaving the field of education within 5 years of entering. This multiple-case study investigated the administrative support 4 novice science teachers received during an academic year and the novice teachers' perceptions of the support they received to answer the following research question: How do novice science teachers who have consistent interactions with administrators develop during their first year? To answer this question, semistructured interviews, reflection journals, observations, resumes, long-range plans, and student discipline referrals were collected. The findings from this study show novice science teachers who had incidents occur in the classroom requiring administrative assistance and guidance felt more confident in enforcing their classroom management policies and procedures as the year progressed to change student behavior. The novice science teachers perceived administrators who provided resources including technology, office supplies, science supplies, and the guidance of a mentor as supportive. Novice science teachers who engaged in dialogue after administrative observations, were provided the opportunity to attend professional development outside the district, and had a mentor who taught the same discipline made more changes to their instructional

  3. Computer models used to support cleanup decision-making at hazardous and radioactive waste sites

    Energy Technology Data Exchange (ETDEWEB)

    Moskowitz, P.D.; Pardi, R.; DePhillips, M.P.; Meinhold, A.F.

    1992-07-01

    Massive efforts are underway to cleanup hazardous and radioactive waste sites located throughout the US To help determine cleanup priorities, computer models are being used to characterize the source, transport, fate and effects of hazardous chemicals and radioactive materials found at these sites. Although, the US Environmental Protection Agency (EPA), the US Department of Energy (DOE), and the US Nuclear Regulatory Commission (NRC) have provided preliminary guidance to promote the use of computer models for remediation purposes, no Agency has produced directed guidance on models that must be used in these efforts. To identify what models are actually being used to support decision-making at hazardous and radioactive waste sites, a project jointly funded by EPA, DOE and NRC was initiated. The purpose of this project was to: (1) Identify models being used for hazardous and radioactive waste site assessment purposes; and (2) describe and classify these models. This report presents the results of this study.

  4. Computer models used to support cleanup decision-making at hazardous and radioactive waste sites

    Energy Technology Data Exchange (ETDEWEB)

    Moskowitz, P.D.; Pardi, R.; DePhillips, M.P.; Meinhold, A.F.

    1992-07-01

    Massive efforts are underway to cleanup hazardous and radioactive waste sites located throughout the US To help determine cleanup priorities, computer models are being used to characterize the source, transport, fate and effects of hazardous chemicals and radioactive materials found at these sites. Although, the US Environmental Protection Agency (EPA), the US Department of Energy (DOE), and the US Nuclear Regulatory Commission (NRC) have provided preliminary guidance to promote the use of computer models for remediation purposes, no Agency has produced directed guidance on models that must be used in these efforts. To identify what models are actually being used to support decision-making at hazardous and radioactive waste sites, a project jointly funded by EPA, DOE and NRC was initiated. The purpose of this project was to: (1) Identify models being used for hazardous and radioactive waste site assessment purposes; and (2) describe and classify these models. This report presents the results of this study.

  5. Systematic flood modelling to support flood-proof urban design

    Science.gov (United States)

    Bruwier, Martin; Mustafa, Ahmed; Aliaga, Daniel; Archambeau, Pierre; Erpicum, Sébastien; Nishida, Gen; Zhang, Xiaowei; Pirotton, Michel; Teller, Jacques; Dewals, Benjamin

    2017-04-01

    Urban flood risk is influenced by many factors such as hydro-meteorological drivers, existing drainage systems as well as vulnerability of population and assets. The urban fabric itself has also a complex influence on inundation flows. In this research, we performed a systematic analysis on how various characteristics of urban patterns control inundation flow within the urban area and upstream of it. An urban generator tool was used to generate over 2,250 synthetic urban networks of 1 km2. This tool is based on the procedural modelling presented by Parish and Müller (2001) which was adapted to generate a broader variety of urban networks. Nine input parameters were used to control the urban geometry. Three of them define the average length, orientation and curvature of the streets. Two orthogonal major roads, for which the width constitutes the fourth input parameter, work as constraints to generate the urban network. The width of secondary streets is given by the fifth input parameter. Each parcel generated by the street network based on a parcel mean area parameter can be either a park or a building parcel depending on the park ratio parameter. Three setback parameters constraint the exact location of the building whithin a building parcel. For each of synthetic urban network, detailed two-dimensional inundation maps were computed with a hydraulic model. The computational efficiency was enhanced by means of a porosity model. This enables the use of a coarser computational grid , while preserving information on the detailed geometry of the urban network (Sanders et al. 2008). These porosity parameters reflect not only the void fraction, which influences the storage capacity of the urban area, but also the influence of buildings on flow conveyance (dynamic effects). A sensitivity analysis was performed based on the inundation maps to highlight the respective impact of each input parameter characteristizing the urban networks. The findings of the study pinpoint

  6. Enhancing Formal Modelling Tool Support with Increased Automation

    DEFF Research Database (Denmark)

    Lausdahl, Kenneth

    Progress report for the qualification exam report for PhD Student Kenneth Lausdahl. Initial work on enhancing tool support for the formal method VDM and the concept of unifying a abstract syntax tree with the ability for isolated extensions is described. The tool support includes a connection to ...... to UML and a test automation principle based on traces written as a kind of regular expressions....

  7. A subjunctive exploratory search interface to support media studies researchers

    NARCIS (Netherlands)

    Bron, M.; van Gorp, J.; Nack, F.; de Rijke, M.; Vishneuski, A.; de Leeuw, S.

    2012-01-01

    Media studies concerns the study of production, content, and/or reception of various types of media. Today's continuous production and storage of media is changing the way media studies researchers work and requires the development of new search models and tools. We investigate the research cycle of

  8. Developing a Model to Support Students in Solving Subtraction

    Directory of Open Access Journals (Sweden)

    Nila Mareta Murdiyani

    2013-01-01

    Full Text Available Subtraction has two meanings and each meaning leads to the different strategies. The meaning of “taking away something” suggests a direct subtraction, while the meaning of “determining the difference between two numbers” is more likely to be modeled as indirect addition. Many prior researches found that the second meaning and second strategy rarely appeared in the mathematical textbooks and teacher explanations, including in Indonesia. Therefore, this study was conducted to contribute to the development of a local instruction theory for subtraction by designing instructional activities that can facilitate first grade of primary school students to develop a model in solving two digit numbers subtraction. Consequently, design research was chosen as an appropriate approach for achieving the research aim and Realistic Mathematics Education (RME was used as a guide to design the lesson. This study involved 6 students in the pilot experiment, 31 students in the teaching experiment, and a first grade teacher of SDN 179 Palembang. The  result of this study shows that the beads string could bridge students from the contextual problems (taking ginger candies and making grains bracelets to the use of the empty number line. It also shows that the empty number line could promote students to  use different strategies (direct subtraction, indirect addition, and indirect subtraction in solving subtraction problems. Based on these findings, it is recommended to apply RME in the teaching learning process to make it more meaningful for students. Keywords: Subtraction, Design Research, Realistic Mathematics Education, The Beads String, The Empty Number Line DOI: http://dx.doi.org/10.22342/jme.4.1.567.95-112

  9. Exploration of Infertile Couples’ Support Requirements: A Qualitative Study

    OpenAIRE

    Fatemeh Jafarzadeh-Kenarsari; Ataollah Ghahiri; Mojtaba Habibi; Ali Zargham-Boroujeni

    2015-01-01

    Background: Due to high prevalence of infertility, increasing demand for infertility treatment, and provision of high quality of fertility care, it is necessary for healthcare professionals to explore infertile couples’ expectations and needs. Identification of these needs can be a prerequisite to plan the effective supportive interventions. The current study was, therefore, conducted in an attempt to explore and to understand infertile couples’ experiences and needs. Materi...

  10. The Effect of Job Demand-Control-Social Support Model on Nurses' Job Satisfaction in Specialized Teaching Hospitals, Ethiopia

    OpenAIRE

    Negussie, Nebiat; Kaur, Geetinder

    2016-01-01

    Background The job demand-control-social support model has been widely studied in western countries but has not been theoretically addressed on health workers of sub-Saharan African countries. Therefore, this study investigates the relationship between Job Demand-Control-Support Model and job satisfaction in specialized teaching hospitals in Ethiopia. Method A cross-sectional survey was conducted from September 2014 to May 2015 in three public specialized teaching hospitals in Ethiopia. Among...

  11. A Knowledge Model- and Growth Model-Based Decision Support System for Wheat Management

    Institute of Scientific and Technical Information of China (English)

    ZHU Yan; CAO Wei-xing; WANG Qi-meng; TIAN Yong-chao; PAN Jie

    2003-01-01

    By applying the system analysis principle and mathematical modeling technique to knowledge expression system for crop cultural management, the fundamental relationships and quantitative algorithms of wheat growth and management indices to variety types, ecological environments and production levels were analysed and extracted, and a dynamic knowledge model with temporal and spatial characters for wheat management (WheatKnow) was developed. By adopting the soft component characteristics as non language rele vance, re-utilization and portable system maintenance, and by further integrating the wheat growth simulation model (WheatGrow) and intelligent system for wheat management, a comprehensive and digital knowledge model, growth model and component-based decision support system for wheat management (MBDSSWM) was established on the platforms of Visual C++ and Visual Basic. The MBDSSWM realized the effective integration and coupling of the prediction and decision-making functions for digital crop management.

  12. Epidemiological models to support animal disease surveillance activities

    DEFF Research Database (Denmark)

    Willeberg, Preben; Paisley, Larry; Lind, Peter

    2011-01-01

    Epidemiological models have been used extensively as a tool in improving animal disease surveillance activities. A review of published papers identified three main groups of model applications: models for planning surveillance, models for evaluating the performance of surveillance systems and mod...

  13. Mathematical Models for the Education Sector, Supporting Material to the Survey. (Les Modeles Mathematiques du Secteur Enseignement. Annexes.) Technical Report.

    Science.gov (United States)

    Organisation for Economic Cooperation and Development, Paris (France).

    This document contains supporting material for the survey on current practice in the construction and use of mathematical models for education. Two kinds of supporting material are included: (1) the responses to the questionnaire, and (2) supporting documents and other materials concerning the mathematical model-building effort in education.…

  14. Modelling soil water retention using support vector machines with genetic algorithm optimisation.

    Science.gov (United States)

    Lamorski, Krzysztof; Sławiński, Cezary; Moreno, Felix; Barna, Gyöngyi; Skierucha, Wojciech; Arrue, José L

    2014-01-01

    This work presents point pedotransfer function (PTF) models of the soil water retention curve. The developed models allowed for estimation of the soil water content for the specified soil water potentials: -0.98, -3.10, -9.81, -31.02, -491.66, and -1554.78 kPa, based on the following soil characteristics: soil granulometric composition, total porosity, and bulk density. Support Vector Machines (SVM) methodology was used for model development. A new methodology for elaboration of retention function models is proposed. Alternative to previous attempts known from literature, the ν-SVM method was used for model development and the results were compared with the formerly used the C-SVM method. For the purpose of models' parameters search, genetic algorithms were used as an optimisation framework. A new form of the aim function used for models parameters search is proposed which allowed for development of models with better prediction capabilities. This new aim function avoids overestimation of models which is typically encountered when root mean squared error is used as an aim function. Elaborated models showed good agreement with measured soil water retention data. Achieved coefficients of determination values were in the range 0.67-0.92. Studies demonstrated usability of ν-SVM methodology together with genetic algorithm optimisation for retention modelling which gave better performing models than other tested approaches.

  15. Examining Teacher Outcomes of the School-Wide Positive Behavior Support Model in Norway

    Directory of Open Access Journals (Sweden)

    Mari-Anne Sørlie

    2016-05-01

    Full Text Available Research on teacher outcomes of the School-Wide Positive Behavior Support (SWPBS model has been scarce. The present study adds to the knowledge base by examining the effects of the Norwegian version of SWPBS (N-PALS on school staffs’ behavior management practices and on their individual and collective efficacy. Questionnaire data were collected from staff and students (Grades 4-7 at four measurement points across four successive school years in 28 intervention schools and 20 comparison schools. Using longitudinal multilevel analyses, indications of positive 3-year main effects of the N-PALS model were observed for staff-reported collective efficacy, self-efficacy, and positive behavior support practices. The intervention effects as measured by Cohen’s d ranged from .14 to .91. The effects on student perceptions of teachers’ behavior management strategies were, however, not consistent with the positive staff ratings. Results are discussed in relation to prior research, future research, and study limitations.

  16. How can perceived autonomy support influence enrollment in elective physical education? A prospective study.

    Science.gov (United States)

    Shen, Bo

    2010-12-01

    This prospective study was designed to investigate the influence of high students' perceived teacher autonomy support in mandatory physical education on their intention and actual enrollment in elective physical education. Participants included 545 ninth-grade students enrolled in three suburban high schools in a major midwestern metropolitan area. A series of hypothesized models related to autonomy support within the Theory of Planned Behavior were tested. Structural equation modeling results demonstrated that perceived autonomy support provided by teachers in mandatory physical education could predict elective physical education enrollment indirectly via the mediation of attitudes and intention in the Theory of Planned Behavior Providing support for students' autonomy in physical education may hold potential promise for enhancing their future physical activity engagement.

  17. Supporting NGSS-aligned Study of Authentic Data about Climate

    Science.gov (United States)

    Zalles, D. R.

    2013-12-01

    The subject of climate change holds tremendous opportunity for students to learn how scientists use data to develop and test theories of how the natural world works and appreciate how climate change instantiates cross-cutting NGSS science themes like stability and change, energy and matter, and cause and effect. To do so, students and teachers need help seeing in authentic Earth system data complex climate interactions and generate plans for building greater understanding of the complexities through further data investigation. With ever-growing repositories of global and regional public data and user friendly tools for their display, K-12 educators are challenged to help students study data independently rather than through the usual pre-filtered didactic presentations of data found in textbooks. The paper will describe strategies for facilitating critical thinking about authentic climate-related data in two climate change education projects funded by NASA and NSF, as well as learning outcomes. Data Enhanced Investigations for Climate Change Education (dicce.sri.com) brings data from NASA satellite missions to classrooms. Studying Topography, Orographic Rainfall, and Ecosystems with Geospatial Information Technology (store.sri.com) provides recent climatological and vegetation data about certain study areas in California and New York plus geospatially distributed projected values of temperature, precipitation, and land cover in 2050 and 2099, derived from NCAR's A2 climate change model. Supportive resources help students move from naïve conceptions of simple linear relationships between variables into critical analysis of what other variables could be mediating those relationships. DICCE contains guides for how to interpret multiyear trends that are evident in the NASA mission data in relation to what we know about current climate change. If a learner plots a line of best fit across multiple months or years of regional data and notices that the line is either

  18. Artificial intelligence support for scientific model-building

    Science.gov (United States)

    Keller, Richard M.

    1992-01-01

    Scientific model-building can be a time-intensive and painstaking process, often involving the development of large and complex computer programs. Despite the effort involved, scientific models cannot easily be distributed and shared with other scientists. In general, implemented scientific models are complex, idiosyncratic, and difficult for anyone but the original scientific development team to understand. We believe that artificial intelligence techniques can facilitate both the model-building and model-sharing process. In this paper, we overview our effort to build a scientific modeling software tool that aids the scientist in developing and using models. This tool includes an interactive intelligent graphical interface, a high-level domain specific modeling language, a library of physics equations and experimental datasets, and a suite of data display facilities.

  19. A 3D Geometry Model Search Engine to Support Learning

    Science.gov (United States)

    Tam, Gary K. L.; Lau, Rynson W. H.; Zhao, Jianmin

    2009-01-01

    Due to the popularity of 3D graphics in animation and games, usage of 3D geometry deformable models increases dramatically. Despite their growing importance, these models are difficult and time consuming to build. A distance learning system for the construction of these models could greatly facilitate students to learn and practice at different…

  20. Modelling Soil Water Retention Using Support Vector Machines with Genetic Algorithm Optimisation

    Directory of Open Access Journals (Sweden)

    Krzysztof Lamorski

    2014-01-01

    Full Text Available This work presents point pedotransfer function (PTF models of the soil water retention curve. The developed models allowed for estimation of the soil water content for the specified soil water potentials: –0.98, –3.10, –9.81, –31.02, –491.66, and –1554.78 kPa, based on the following soil characteristics: soil granulometric composition, total porosity, and bulk density. Support Vector Machines (SVM methodology was used for model development. A new methodology for elaboration of retention function models is proposed. Alternative to previous attempts known from literature, the ν-SVM method was used for model development and the results were compared with the formerly used the C-SVM method. For the purpose of models’ parameters search, genetic algorithms were used as an optimisation framework. A new form of the aim function used for models parameters search is proposed which allowed for development of models with better prediction capabilities. This new aim function avoids overestimation of models which is typically encountered when root mean squared error is used as an aim function. Elaborated models showed good agreement with measured soil water retention data. Achieved coefficients of determination values were in the range 0.67–0.92. Studies demonstrated usability of ν-SVM methodology together with genetic algorithm optimisation for retention modelling which gave better performing models than other tested approaches.

  1. Spatiotemporal Organization of Spin-Coated Supported Model Membranes

    Science.gov (United States)

    Simonsen, Adam Cohen

    All cells of living organisms are separated from their surroundings and organized internally by means of flexible lipid membranes. In fact, there is consensus that the minimal requirements for self-replicating life processes include the following three features: (1) information carriers (DNA, RNA), (2) a metabolic system, and (3) encapsulation in a container structure [1]. Therefore, encapsulation can be regarded as an essential part of life itself. In nature, membranes are highly diverse interfacial structures that compartmentalize cells [2]. While prokaryotic cells only have an outer plasma membrane and a less-well-developed internal membrane structure, eukaryotic cells have a number of internal membranes associated with the organelles and the nucleus. Many of these membrane structures, including the plasma membrane, are complex layered systems, but with the basic structure of a lipid bilayer. Biomembranes contain hundreds of different lipid species in addition to embedded or peripherally associated membrane proteins and connections to scaffolds such as the cytoskeleton. In vitro, lipid bilayers are spontaneously self-organized structures formed by a large group of amphiphilic lipid molecules in aqueous suspensions. Bilayer formation is driven by the entropic properties of the hydrogen bond network in water in combination with the amphiphilic nature of the lipids. The molecular shapes of the lipid constituents play a crucial role in bilayer formation, and only lipids with approximately cylindrical shapes are able to form extended bilayers. The bilayer structure of biomembranes was discovered by Gorter and Grendel in 1925 [3] using monolayer studies of lipid extracts from red blood cells. Later, a number of conceptual models were developed to rationalize the organization of lipids and proteins in biological membranes. One of the most celebrated is the fluid-mosaic model by Singer and Nicolson (1972) [4]. According to this model, the lipid bilayer component of

  2. Constitutive modelling of an arterial wall supported by microscopic measurements

    Directory of Open Access Journals (Sweden)

    Vychytil J.

    2012-06-01

    Full Text Available An idealized model of an arterial wall is proposed as a two-layer system. Distinct mechanical response of each layer is taken into account considering two types of strain energy functions in the hyperelasticity framework. The outer layer, considered as a fibre-reinforced composite, is modelled using the structural model of Holzapfel. The inner layer, on the other hand, is represented by a two-scale model mimicing smooth muscle tissue. For this model, material parameters such as shape, volume fraction and orientation of smooth muscle cells are determined using the microscopic measurements. The resulting model of an arterial ring is stretched axially and loaded with inner pressure to simulate the mechanical response of a porcine arterial segment during inflation and axial stretching. Good agreement of the model prediction with experimental data is promising for further progress.

  3. Real Time Traffic Models, Decision Support for Traffic Management

    NARCIS (Netherlands)

    Wismans, L.; De Romph, E.; Friso, K.; Zantema, K.

    2014-01-01

    Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various

  4. Modelling and simulation-based acquisition decision support: present & future

    CSIR Research Space (South Africa)

    Naidoo, S

    2009-10-01

    Full Text Available during support phases Classes of Analysis Pe rfo rm a n ce Sp e ci fic a tio n Pe rfo rm a n ce Tr a de - o ffs Pe rfo rm a n ce D e ve lo pm e n t Pe rfo rm a n ce Pr e di ct io n Pe...

  5. Real time traffic models, decision support for traffic management

    NARCIS (Netherlands)

    Wismans, Luc Johannes Josephus; de Romph, E.; Friso, K.; Zantema, K.

    2014-01-01

    Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various

  6. Supporting Universal Prevention Programs: A Two-Phased Coaching Model

    Science.gov (United States)

    Becker, Kimberly D.; Darney, Dana; Domitrovich, Celene; Keperling, Jennifer Pitchford; Ialongo, Nicholas S.

    2013-01-01

    Schools are adopting evidence-based programs designed to enhance students' emotional and behavioral competencies at increasing rates (Hemmeter et al. in "Early Child Res Q" 26:96-109, 2011). At the same time, teachers express the need for increased support surrounding implementation of these evidence-based programs (Carter and Van Norman in "Early…

  7. A Gaussian Model of Expert Opinions for Supporting Design Decisions

    NARCIS (Netherlands)

    Rajabalinejad, M.

    2012-01-01

    Decision making in design is of great importance, resulting in success or failure of a system. This paper describes a robust decision support tool for engineering design process, which can be used throughout the design process. The tool is graphical and designed to communicate efficiently with diffe

  8. Appropriate models in decision support systems for river basin management

    NARCIS (Netherlands)

    Xu, YuePing; Booij, Martijn J.; Morell, M.; Todorovik, O.; Dimitrov, D.; Selenica, A.; Spirkovski, Z.

    2004-01-01

    In recent years, new ideas and techniques appear very quickly, like sustainability, adaptive management, Geographic Information System, Remote Sensing and participations of new stakeholders, which contribute a lot to the development of decision support systems in river basin management. However, the

  9. Real time traffic models, decision support for traffic management

    NARCIS (Netherlands)

    Wismans, L.J.J.; Romph, de E.; Friso, K.; Zantema, K.

    2014-01-01

    Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various con

  10. Real Time Traffic Models, Decision Support for Traffic Management

    NARCIS (Netherlands)

    Wismans, L.; De Romph, E.; Friso, K.; Zantema, K.

    2014-01-01

    Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various con

  11. Designing, Modeling and Evaluating Influence Strategiesfor Behavior Change Support Systems

    NARCIS (Netherlands)

    Öörni, Anssi; Kelders, Saskia Marion; van Gemert-Pijnen, Julia E.W.C.; Oinas-Kukkonen, Harri

    2014-01-01

    Behavior change support systems (BCSS) research is an evolving area. While the systems have been demonstrated to work to the effect, there is still a lot of work to be done to better understand the influence mechanisms of behavior change, and work out their influence on the systems architecture. The

  12. Supporting Universal Prevention Programs: A Two-Phased Coaching Model

    Science.gov (United States)

    Becker, Kimberly D.; Darney, Dana; Domitrovich, Celene; Keperling, Jennifer Pitchford; Ialongo, Nicholas S.

    2013-01-01

    Schools are adopting evidence-based programs designed to enhance students' emotional and behavioral competencies at increasing rates (Hemmeter et al. in "Early Child Res Q" 26:96-109, 2011). At the same time, teachers express the need for increased support surrounding implementation of these evidence-based programs (Carter and Van Norman in "Early…

  13. Developing a Language Support Model for Mainstream Primary School Teachers

    Science.gov (United States)

    McCartney, Elspeth; Ellis, Sue; Boyle, James; Turnbull, Mary; Kerr, Jane

    2010-01-01

    In the UK, speech and language therapists (SLTs) work with teachers to support children with language impairment (LI) in mainstream schools. Consultancy approaches are often used, where SLTs advise educational staff who then deliver language-learning activities. However, some research suggests that schools may not always sustain activities as…

  14. Preliminary results of Physiological plant growth modelling for human life support in space

    Science.gov (United States)

    Sasidharan L, Swathy; Dussap, Claude-Gilles; Hezard, Pauline

    2012-07-01

    Human life support is fundamental and crucial in any kind of space explorations. MELiSSA project of European Space Agency aims at developing a closed, artificial ecological life support system involving human, plants and micro organisms. Consuming carbon dioxide and water from the life support system, plants grow in one of the chambers and convert it into food and oxygen along with potable water. The environmental conditions, nutrient availability and its consumption of plants should be studied and necessarily modeled to predict the amount of food, oxygen and water with respect to the environmental changes and limitations. The reliability of a completely closed system mainly depends on the control laws and strategies used. An efficient control can occur, only if the system to control is itself well known, described and ideally if the responses of the system to environmental changes are predictable. In this aspect, the general structure of plant growth model has been designed together with physiological modelling.The physiological model consists of metabolic models of leaves, stem and roots, of which concern specific metabolisms of the associated plant parts. On the basis of the carbon source transport (eg. sucrose) through stem, the metabolic models (leaf and root) can be interconnected to each other and finally coupled to obtain the entire plant model. For the first step, leaf metabolic model network was built using stoichiometric, mass and energy balanced metabolic equations under steady state approach considering all necessary plant pathways for growth and maintenance of leaves. As the experimental data for lettuce plants grown in closed and controlled environmental chambers were available, the leaf metabolic model has been established for lettuce leaves. The constructed metabolic network is analyzed using known stoichiometric metabolic technique called metabolic flux analysis (MFA). Though, the leaf metabolic model alone is not sufficient to achieve the

  15. A qualitative model structure sensitivity analysis method to support model selection

    Science.gov (United States)

    Van Hoey, S.; Seuntjens, P.; van der Kwast, J.; Nopens, I.

    2014-11-01

    The selection and identification of a suitable hydrological model structure is a more challenging task than fitting parameters of a fixed model structure to reproduce a measured hydrograph. The suitable model structure is highly dependent on various criteria, i.e. the modeling objective, the characteristics and the scale of the system under investigation and the available data. Flexible environments for model building are available, but need to be assisted by proper diagnostic tools for model structure selection. This paper introduces a qualitative method for model component sensitivity analysis. Traditionally, model sensitivity is evaluated for model parameters. In this paper, the concept is translated into an evaluation of model structure sensitivity. Similarly to the one-factor-at-a-time (OAT) methods for parameter sensitivity, this method varies the model structure components one at a time and evaluates the change in sensitivity towards the output variables. As such, the effect of model component variations can be evaluated towards different objective functions or output variables. The methodology is presented for a simple lumped hydrological model environment, introducing different possible model building variations. By comparing the effect of changes in model structure for different model objectives, model selection can be better evaluated. Based on the presented component sensitivity analysis of a case study, some suggestions with regard to model selection are formulated for the system under study: (1) a non-linear storage component is recommended, since it ensures more sensitive (identifiable) parameters for this component and less parameter interaction; (2) interflow is mainly important for the low flow criteria; (3) excess infiltration process is most influencing when focussing on the lower flows; (4) a more simple routing component is advisable; and (5) baseflow parameters have in general low sensitivity values, except for the low flow criteria.

  16. A comprehensive model for the supported vanadium oxide catalyst: The umbrella model

    NARCIS (Netherlands)

    Lingen, J.N.J. van

    2006-01-01

    Supported vanadium oxide catalysts are widely used in industry. However, the molecular structure of the active species, responsible for the actual catalysis, is for a large part still unknown. This thesis describes four years study on the elucidation of this molecular structure. It mainly focuses on

  17. Study of Soft Sensor Modeling Based on Improved FIR Filter and Least Squares Support Vector Machines%基于改进LS-SVM的制粉出力软测量建模

    Institute of Scientific and Technical Information of China (English)

    冯磊华; 桂卫华; 杨锋

    2012-01-01

    针对火电厂双进双出钢球磨煤机制粉出力较难直接测量的问题,拟建立其最小二乘支持向量机(LS-SVM)模型实现软测量.由于LS-SVM算法缺乏“稀疏性”,采用经Remez算法优化后的FIR数字滤波器与LS-SVM相结合,形成一种新的软测量建模方法-FIR-LSS-VM.仿真结果表明,经Remez优化后的FIR滤波效果更好.将该软测量方法应用于火电厂双进双出钢球磨煤机直吹式制粉系统,通过现场实验对比可知,改进的软测量模型学习速度较快且误差较小,更加适用于在线学习.%According to the problem that mill output of direct fired system with duplex inlet and outlet ball pulverizer in power plant is difficult to by direct measured, this paper proposes a soft sensor method based on the least squares support vector machines ( LS-SVM ) methods. Because of the lack of sparseness, LS-SVM is combined with optimized FIR by Remez algorithm to form a new soft sensor modeling method FIR-LSSVM. Simulation results show that the optimization effect is better. Lastly-FIR-LSSVM is used to establish the soft sensor model of mill output of direct fired system with duplex inlet and outlet ball pulverizer in power plant. The field tests show that the learning speed of FIR-LSSVM is faster and the error is smaller which indicates that FIR-LSSVM is better suitable for online learning.

  18. SWAT meta-modeling as support of the management scenario analysis in large watersheds.

    Science.gov (United States)

    Azzellino, A; Çevirgen, S; Giupponi, C; Parati, P; Ragusa, F; Salvetti, R

    2015-01-01

    In the last two decades, numerous models and modeling techniques have been developed to simulate nonpoint source pollution effects. Most models simulate the hydrological, chemical, and physical processes involved in the entrainment and transport of sediment, nutrients, and pesticides. Very often these models require a distributed modeling approach and are limited in scope by the requirement of homogeneity and by the need to manipulate extensive data sets. Physically based models are extensively used in this field as a decision support for managing the nonpoint source emissions. A common characteristic of this type of model is a demanding input of several state variables that makes the calibration and effort-costing in implementing any simulation scenario more difficult. In this study the USDA Soil and Water Assessment Tool (SWAT) was used to model the Venice Lagoon Watershed (VLW), Northern Italy. A Multi-Layer Perceptron (MLP) network was trained on SWAT simulations and used as a meta-model for scenario analysis. The MLP meta-model was successfully trained and showed an overall accuracy higher than 70% both on the training and on the evaluation set, allowing a significant simplification in conducting scenario analysis.

  19. Deployment case study of a global applied 3D modeling process of pipe supports; Estudo de caso da aplicacao de uma ferramenta para automatizacao e controle do processo de modelagem de suportes para tubulacoes em maquetes 3D

    Energy Technology Data Exchange (ETDEWEB)

    Balbi, Diego Junca Gonzaga; Oliveira, Renato Fonseca; Pinto, Rogerio Dias [Promon Engenharia, Sao Paulo, SP (Brazil)

    2012-07-01

    An activity in engineering projects has been changed over the past two decades with regarding to working practices. Difficulties arising from the increasing complexity of projects, especially in industrial sectors, have taken this activity a constant search for new methods and tools which enable increased speed in performing tasks of daily life of the project. Currently, the development of these tools has been based on a friendlier interface to the end user, minimizing the need for extensive and repetitive training. Moreover, the industry responsible for this development of these kind of tools is still in the search for knowledge in order to explore the plain capabilities within wide projects on solutions offered. This article deals with one of these innovations on the spotlight, besides of being not a technology issue. It's based on the same basic platform available since the creation of models used together with databases. However, this new vision of work inserts one more specialty in the virtual designing of structures to support industrial pipes, as well as other design disciplines, nor taken advantage of these capabilities with regard to the generation of information, its control and management. (author)

  20. Cognitive Support using BDI Agent and Adaptive User Modeling

    DEFF Research Database (Denmark)

    Hossain, Shabbir

    2012-01-01

    -known framework to measure the individual health status and functioning level. The third goal is to develop an approach for supporting for users with irrational behaviour due to cognitive impairment. To deal with this challenge, a Belief, Desire and Intention (BDI) agent based approach is proposed due to its...... conducted using the developed system shows potentials in terms of providing freedom of mobility for the user with cognitive impairment.......The need of constant support and care for the elderly people with special needs is gradually increasing. It is becoming the primary challenge for most of the western countries and research society to innovate new eective approaches and develop novel technologies to address the demographics...

  1. Model of hospital-supported discharge after stroke

    DEFF Research Database (Denmark)

    Torp, Claus Rydahl; Vinkler, Sonja; Pedersen, Kirsten Damgaard

    2006-01-01

    BACKGROUND AND PURPOSE: Readmission rate within 6 months after a stroke is 40% to 50%. The purpose of the project was to evaluate whether an interdisciplinary stroke team could reduce length of hospital stay, readmission rate, increase patient satisfaction and reduce dependency of help. METHODS......: One hundred and ninety-eight patients with acute stroke were randomized into 103 patients whose discharge was supported by an interdisciplinary stroke team and 95 control patients who received standard aftercare. Baseline characteristics were comparable in the 2 groups. The patients were evaluated...... services. Furthermore, there was no significant difference in functional scores or patient satisfaction. CONCLUSIONS: In this setting we could not show benefit of an interdisciplinary stroke team supporting patients at discharge perhaps because standard aftercare was very efficient already....

  2. Modelling in support of decision-making for South African extensive beef farmers

    Directory of Open Access Journals (Sweden)

    D.H. Meyer

    2003-12-01

    Full Text Available In this study it is shown that it is possible to build a decision support system for the use of South African extensive beef farmers. Initially models for the key variables which affect extensive beef farmers are developed. These key variables include rainfall, beef, veal and weaner prices and the condition of the veld. This last key variable is monitored using the voluntary lick intake of the cattle and is modelled in terms of rainfall and stocking intensity. Particular attention is paid to the interrelationships between the key variables and to the distribution of modelling errors. The next stage of the study concerns the use of these models as a decision-support tool for extensive beef farmers. It is shown that Monte Carlo simulations and dynamic programming analyses can use these models to suggest how gross margins can be increased. At the same time these methods can be used to monitor the effect of management decisions on mean lick intake and, hence, the effect of these decisions on the condition of the veld. In particular the decisions of "what stocking intensity", "what cattle system", "when to sell" and "when to make a change" are addressed.

  3. Characteristic times in the English Channel from numerical modelling: supporting decision-making

    Energy Technology Data Exchange (ETDEWEB)

    Perianez, R [Departamento de Fisica Aplicada 1, Universidad de Sevilla, EUITA, Carretera Utrera km 1, 41013 Sevilla (Spain); Miro, C [Departamento de Fisica Aplicada, Facultad de Veterinaria, Universidad de Extremadura, Avenida de la Universidad s/n, 10071 Caceres (Spain)], E-mail: rperianez@us.es, E-mail: cmiro@unex.es

    2009-06-15

    A numerical model that simulates the dispersion of radionuclides in the English Channel has been applied to study the dispersion of conservative and non-conservative radionuclides released from the La Hague nuclear fuel reprocessing plant. The model is based upon previous work and now is able to simulate dispersion over long timescales (decades), explicitly including transport by instantaneous tidal currents and variable wind conditions. Wind conditions are obtained from meteorological statistics using a stochastic method. Outputs from the model are treated using time-series analysis techniques. These techniques allow the determination of characteristic times of the system, transport velocities and dispersion factors. This information may be very useful to support the decision-making process after an emergency situation. Thus, we are proposing that time-series analysis can be integrated with numerical modelling for helping decision-making in response to an accident. The model is first validated through its application to actual releases of {sup 99}Tc and {sup 125}Sb, comparing measured and computed concentrations, and characteristic times for three radionuclides are given next: a perfectly conservative one, a very reactive one ({sup 239,240}Pu) and {sup 137}Cs, which has an intermediate behaviour. Characteristic transport velocities and dispersion factors have been calculated as well. Model results are supported by experimental evidence.

  4. A dyadic model of living with epilepsy based on the perspectives of adults with epilepsy and their support persons.

    Science.gov (United States)

    Walker, Elizabeth Reisinger; Barmon, Christina; McGee, Robin E; Engelhard, George; Sterk, Claire E; DiIorio, Colleen; Thompson, Nancy J

    2015-12-01

    Epilepsy is a chronic condition that significantly affects the lives of individuals with epilepsy and their support persons, though few studies have examined the experiences of both. To examine these experiences and explore the interpersonal relationships between dyad members, we conducted in-depth interviews with 22 persons with epilepsy and 16 support persons. Data analysis was guided by a grounded theory perspective. We developed a model that shows how epilepsy impacts the lives of both persons with epilepsy and their support persons and how the experiences of persons with epilepsy and supporters influence one another. The core model elements were seizure and treatment factors, relationship characteristics, self-management, seizure control, support provided, illness intrusiveness, and quality of life. Persons with epilepsy moved through the model in five trajectories depending on seizure control, relationship type, and gender. Support providers followed four trajectories based on seizure control, perception of burden, and support for themselves. Persons with epilepsy and their primary support providers have varied experiences in how epilepsy affects their lives. This model could serve as a basis for future research and intervention efforts focused on ways to reduce illness intrusiveness and improve quality of life for persons with epilepsy and their supporters.

  5. Knowledge, Models and Tools in Support of Advanced Distance Learning

    Science.gov (United States)

    2006-06-01

    instruction, such as the need for frequent assessment and for customized pedagogy . In addition, however, 1 Certain types of procedural skills cannot...requiring that such components be reinvented in the iRides simulation language. For example, the Text Entry Dialog function makes it possible to use a...that the student can have more than one chance to produce the correct response. A lesson authoring dialog in iRides author supports the specification of

  6. Real time traffic models, decision support for traffic management

    OpenAIRE

    Wismans, L.; De Romph, E.; Friso, K.; Zantema, K.

    2014-01-01

    Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various control strategies and enhance the performance of the overall network. By taking proactive action deploying traffic management measures, congestion may be prevented or its effects limited. An approach...

  7. Computer-Aided Design Models to Support Ergonomics

    Science.gov (United States)

    1985-12-01

    LABORATORY 4 WILLIAM B. ASKREN AIR FORCE HUMAN RESOURCES LABORA7IJRY LEC OCT 2 2 DECEMBER 1985 Apprw. edfor public release, distributionz is...SUPPORT ERGONOMICS (U) .__ _ _ _ _ 12. PERSONAL AUTHOR(S) McDaniel, Joe W. and Askren, William B.* ". k % 13.. TYPE OF REPORT 13b. TIME COVERED 14...technician which the designer can effectively use for maintainability analyses. ,% 4,1’ 12.. 6- - p *. **, . k % ... APPROACH v There are three elements to

  8. Data to support "Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations & Biological Condition"

    Data.gov (United States)

    U.S. Environmental Protection Agency — Spreadsheets are included here to support the manuscript "Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations and Biological Condition". This...

  9. Exploiting Modelling and Simulation in Support of Cyber Defence

    NARCIS (Netherlands)

    Klaver, M.H.A.; Boltjes, B.; Croom-Jonson, S.; Jonat, F.; Çankaya, Y.

    2014-01-01

    The rapidly evolving environment of Cyber threats against the NATO Alliance has necessitated a renewed focus on the development of Cyber Defence policy and capabilities. The NATO Modelling and Simulation Group is looking for ways to leverage Modelling and Simulation experience in research, analysis

  10. Support of Modelling in Process-Engineering Education

    NARCIS (Netherlands)

    Schaaf, van der H.; Vermuë, M.H.; Tramper, J.; Hartog, R.J.M.

    2006-01-01

    An objective of the Process Technology curriculum at Wageningen University is to teach students a stepwise modeling approach in the context of process engineering. Many process-engineering students have difficulty with learning to design a model. Some common problems are lack of structure in the des

  11. Exploiting Modelling and Simulation in Support of Cyber Defence

    NARCIS (Netherlands)

    Klaver, M.H.A.; Boltjes, B.; Croom-Jonson, S.; Jonat, F.; Çankaya, Y.

    2014-01-01

    The rapidly evolving environment of Cyber threats against the NATO Alliance has necessitated a renewed focus on the development of Cyber Defence policy and capabilities. The NATO Modelling and Simulation Group is looking for ways to leverage Modelling and Simulation experience in research, analysis

  12. A Model of Teacher Professional Development to Support Technology Integration

    Science.gov (United States)

    Ehman, Lee; Bonk, Curt; Yamagata-Lynch, Lisa

    2005-01-01

    The purpose of this paper is to report on the professional development model of Teacher Institute for Curriculum Knowledge about Integration of Technology (TICKIT). This paper will situate the TICKIT model with past findings from professional development research, and provide researchers and practitioners facilitating future programs advice based…

  13. Two Models of Magnetic Support for Photoevaporated Molecular Clouds

    Energy Technology Data Exchange (ETDEWEB)

    Ryutov, D; Kane, J; Mizuta, A; Pound, M; Remington, B

    2004-05-05

    The thermal pressure inside molecular clouds is insufficient for maintaining the pressure balance at an ablation front at the cloud surface illuminated by nearby UV stars. Most probably, the required stiffness is provided by the magnetic pressure. After surveying existing models of this type, we concentrate on two of them: the model of a quasi-homogeneous magnetic field and the recently proposed model of a ''magnetostatic turbulence''. We discuss observational consequences of the two models, in particular, the structure and the strength of the magnetic field inside the cloud and in the ionized outflow. We comment on the possible role of reconnection events and their observational signatures. We mention laboratory experiments where the most significant features of the models can be tested.

  14. Support for medical students with mental health problems: a conceptual model.

    Science.gov (United States)

    Grant, Andrew; Rix, Andrew; Winter, Peter; Mattick, Karen; Jones, Debbie

    2015-02-01

    Medical students experience higher prevalence of mental illness than age-matched controls and are less likely to access appropriate help when this happens. The aim of this study was to determine the range of strategies deployed by medical schools to support medical students with mental health concerns and to use this to identify distinct categories. Websites and documents relating to all 32 UK medical schools were looked at, as were reports for quality assurance visits carried out by the General Medical Council (UK). A structured telephone interview was carried out with medical schools. Support services were examined by tracing the path that might be taken by a hypothetical student with mental health concerns of varying severity, seeing what was required and what was available at each stage. A range of support strategies is available to most medical students both from their medical school and from generic services in the university. Medical students will usually first contact a personal tutor or a senior member of faculty or be contacted by them as a result of concerns raised either via performance issues or by another student. While individual support interventions are mostly based on evidence of effectiveness, there is no unifying theory in terms of what constitutes effective support. To enable analysis of support interventions and comparison across providers, a six-stage conceptual model of prevention was developed. The six stages are the following: prevention, identification, referral, escalation, treatment, and reintegration. The staged model, derived from analysis of existing interventions, provides a framework for evaluation of current provision and comparison of different methods of delivery. Moreover, it provides a framework for future research.

  15. Atomic structure of graphene supported heterogeneous model catalysts

    Energy Technology Data Exchange (ETDEWEB)

    Franz, Dirk

    2017-04-15

    Graphene on Ir(111) forms a moire structure with well defined nucleation centres. Therefore it can be utilized to create hexagonal metal cluster lattices with outstanding structural quality. At diffraction experiments these 2D surface lattices cause a coherent superposition of the moire cell structure factor, so that the measured signal intensity scales with the square of coherently scattering unit cells. This artificial signal enhancement enables the opportunity for X-ray diffraction to determine the atomic structure of small nano-objects, which are hardly accessible with any experimental technique. The uniform environment of every metal cluster makes the described metal cluster lattices on graphene/Ir(111) an attractive model system for the investigation of catalytic, magnetic and quantum size properties of ultra-small nano-objects. In this context the use of x-rays provides a maximum of flexibility concerning the possible sample environments (vacuum, selected gases, liquids, sample temperature) and allows in-situ/operando measurements. In the framework of the present thesis the structure of different metal clusters grown by physical vapor deposition in an UHV environment and after gas exposure have been investigated. On the one hand the obtained results will explore many aspects of the atomic structure of these small metal clusters and on the other hand the presented results will proof the capabilities of the described technique (SXRD on cluster lattices). For iridium, platinum, iridium/palladium and platinum/rhodium the growth on graphene/Ir(111) of epitaxial, crystalline clusters with an ordered hexagonal lattice arrangement has been confirmed using SXRD. The clusters nucleate at the hcp sites of the moire cell and bind via rehybridization of the carbon atoms (sp{sup 2} → sp{sup 3}) to the Ir(111) substrate. This causes small displacements of the substrate atoms, which is revealed by the diffraction experiments. All metal clusters exhibit a fcc structure

  16. Identification of the Hammerstein model of a PEMFC stack based on least squares support vector machines

    Energy Technology Data Exchange (ETDEWEB)

    Li, Chun-Hua; Zhu, Xin-Jian; Cao, Guang-Yi; Sui, Sheng; Hu, Ming-Ruo [Fuel Cell Research Institute, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240 (China)

    2008-01-03

    This paper reports a Hammerstein modeling study of a proton exchange membrane fuel cell (PEMFC) stack using least squares support vector machines (LS-SVM). PEMFC is a complex nonlinear, multi-input and multi-output (MIMO) system that is hard to model by traditional methodologies. Due to the generalization performance of LS-SVM being independent of the dimensionality of the input data and the particularly simple structure of the Hammerstein model, a MIMO SVM-ARX (linear autoregression model with exogenous input) Hammerstein model is used to represent the PEMFC stack in this paper. The linear model parameters and the static nonlinearity can be obtained simultaneously by solving a set of linear equations followed by the singular value decomposition (SVD). The simulation tests demonstrate the obtained SVM-ARX Hammerstein model can efficiently approximate the dynamic behavior of a PEMFC stack. Furthermore, based on the proposed SVM-ARX Hammerstein model, valid control strategy studies such as predictive control, robust control can be developed. (author)

  17. Dependability breakeven point mathematical model for production - quality strategy support

    Science.gov (United States)

    Vilcu, Adrian; Verzea, Ion; Chaib, Rachid

    2016-08-01

    This paper connects the field of dependability system with the production-quality strategies through a new mathematical model based on breakeven points. The novelties consist in the identification of the parameters of dependability system which, in safety control, represents the degree to which an item is capable of performing its required function at any randomly chosen time during its specified operating period disregarding non-operation related influences, as well as the analysis of the production-quality strategies, defining a mathematical model based on a new concept - dependability breakeven points, model validation on datasets and shows the practical applicability of this new approach.

  18. Open Models of Decision Support Towards a Framework

    OpenAIRE

    Diasio, Stephen Ray

    2012-01-01

    Aquesta tesi presenta un marc per als models oberts de suport a les decisions en les organitzacions. El treball es vehicula a través d’un compendi d’articles on s’analitzen els fluxos d’entrada i de sortida de coneixement en les organitzacions, així como les tecnologies existents de suport a les decisions. Es presenten els factors subjacents que impulsen nous models per a formes obertes de suport a la decisió. La tesis presenta un estudi de les distintes tipologies de models de suport a les d...

  19. A simulation based engineering method to support HAZOP studies

    DEFF Research Database (Denmark)

    Enemark-Rasmussen, Rasmus; Cameron, David; Angelo, Per Bagge

    2012-01-01

    HAZOP is the most commonly used process hazard analysis tool in industry, a systematic yet tedious and time consuming method. The aim of this study is to explore the feasibility of process dynamic simulations to facilitate the HAZOP studies. We propose a simulation-based methodology to complement...... the conventional HAZOP procedure. The method systematically generates failure scenarios by considering process equipment deviations with pre-defined failure modes. The effect of failure scenarios is then evaluated using dynamic simulations -in this study the K-Spice® software used. The consequences of each failure...... model as case study....

  20. A warehouse design decision model: case study

    OpenAIRE

    Geraldes, Carla A. S. (Ed.); Carvalho, Maria do Sameiro; Pereira, Guilherme

    2008-01-01

    Today’s competitive and volatile market requires flexibility, quality and efficiency from the logistics operations. In this context, warehouses are an important link of the logistic chain and warehouse management plays an important role over customer's service. Throughout this work we analyze a mathematical model aiming to support warehouse management decisions. A case study is used for that purpose and the model jointly identifies product allocation to the functional areas in the warehouse, ...

  1. Prognostics for Ground Support Systems: Case Study on Pneumatic Valves

    Science.gov (United States)

    Daigle, Matthew; Goebel, Kai

    2011-01-01

    Prognostics technologies determine the health (or damage) state of a component or sub-system, and make end of life (EOL) and remaining useful life (RUL) predictions. Such information enables system operators to make informed maintenance decisions and streamline operational and mission-level activities. We develop a model-based prognostics methodology for pneumatic valves used in ground support equipment for cryogenic propellant loading operations. These valves are used to control the flow of propellant, so failures may have a significant impact on launch availability. Therefore, correctly predicting when valves will fail enables timely maintenance that avoids launch delays and aborts. The approach utilizes mathematical models describing the underlying physics of valve degradation, and, employing the particle filtering algorithm for joint state-parameter estimation, determines the health state of the valve and the rate of damage progression, from which EOL and RUL predictions are made. We develop a prototype user interface for valve prognostics, and demonstrate the prognostics approach using historical pneumatic valve data from the Space Shuttle refueling system.

  2. Experimental Support for a Categorical Compositional Distributional Model of Meaning

    CERN Document Server

    Grefenstette, Edward

    2011-01-01

    Modelling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. We implement the abstract categorical model of Coecke et al. (arXiv:1003.4394v1 [cs.CL]) using data from the BNC and evaluate it. The implementation is based on unsupervised learning of matrices for relational words and applying them to the vectors of their arguments. The evaluation is based on the word disambiguation task developed by Mitchell and Lapata (2008) for intransitive sentences, and on a similar new experiment designed for transitive sentences. Our model matches the results of its competitors in the first experiment, and betters them in the second. The general improvement in results with increase in syntactic complexity showcases the compositional power of our model.

  3. Structural phase diagrams of supported oxide nanowires from extended Frenkel-Kontorova models of diatomic chains.

    Science.gov (United States)

    Noguera, C; Goniakowski, J

    2013-08-28

    Relying on Frenkel Kontorova (FK) models of diatomic chains of increasing levels of complexity, this study presents an overall view of the diversity of structural effects that a compound (oxide) chain supported on a metal may display and helps assigning them to precise microscopic mechanisms. At each stage, the models are solved numerically, in order to provide phase diagrams as a function of chain-substrate interaction and misfit. Analytic derivations of transition lines are also provided within the continuum approximation. Their predictions are shown to quantitatively account for the numerical results, thus showing the validity of the continuum approximation in the misfit range under consideration. The present study thus extends our knowledge of the FK model by specifically focusing on diatomic chains and brings new information on a potentially interesting system which experimentalists just start being able to synthesize--oxide chains on metal substrates.

  4. Cable dynamics under non-ideal support excitations: Nonlinear dynamic interactions and asymptotic modelling

    Science.gov (United States)

    Guo, Tieding; Kang, Houjun; Wang, Lianhua; Zhao, Yueyu

    2016-12-01

    Cable dynamics under ideal longitudinal support motions/excitations assumes that the support's mass, stiffness and mechanical energy are infinite. However, for many long/slender support structures, their finite mass and stiffness should be taken into account and the cable-support dynamic interactions should be modelled and evaluated. These moving supports are non-ideal support excitations, deserving a proper coupling analysis. For systems with a large support/cable mass ratio, using the multiple scale method and asymptotic approximations, a cable-support coupled reduced model, with both cable's geometric nonlinearity and cable-support coupling nonlinearity included, is established asymptotically and validated numerically in this paper. Based upon the reduced model, cable's nonlinear responses under non-ideal support excitations(and also the coupled responses) are found, with stability and bifurcation characteristics determined. By finding the modifications caused by the support/cable mass ratio, boundary damping, and internal detuning, full investigations into coupling-induced dynamic effects on the cable are conducted. Finally, the approximate analytical results based on the reduced model are verified by numerical results from the original full model.

  5. Decision Support Model for Introduction of Gamification Solution Using AHP

    Directory of Open Access Journals (Sweden)

    Sangkyun Kim

    2014-01-01

    Full Text Available Gamification means the use of various elements of game design in nongame contexts including workplace collaboration, marketing, education, military, and medical services. Gamification is effective for both improving workplace productivity and motivating employees. However, introduction of gamification is not easy because the planning and implementation processes of gamification are very complicated and it needs interdisciplinary knowledge such as information systems, organization behavior, and human psychology. Providing a systematic decision making method for gamification process is the purpose of this paper. This paper suggests the decision criteria for selection of gamification platform to support a systematic decision making process for managements. The criteria are derived from previous works on gamification, introduction of information systems, and analytic hierarchy process. The weights of decision criteria are calculated through a survey by the professionals on game, information systems, and business administration. The analytic hierarchy process is used to derive the weights. The decision criteria and weights provided in this paper could support the managements to make a systematic decision for selection of gamification platform.

  6. Decision support model for introduction of gamification solution using AHP.

    Science.gov (United States)

    Kim, Sangkyun

    2014-01-01

    Gamification means the use of various elements of game design in nongame contexts including workplace collaboration, marketing, education, military, and medical services. Gamification is effective for both improving workplace productivity and motivating employees. However, introduction of gamification is not easy because the planning and implementation processes of gamification are very complicated and it needs interdisciplinary knowledge such as information systems, organization behavior, and human psychology. Providing a systematic decision making method for gamification process is the purpose of this paper. This paper suggests the decision criteria for selection of gamification platform to support a systematic decision making process for managements. The criteria are derived from previous works on gamification, introduction of information systems, and analytic hierarchy process. The weights of decision criteria are calculated through a survey by the professionals on game, information systems, and business administration. The analytic hierarchy process is used to derive the weights. The decision criteria and weights provided in this paper could support the managements to make a systematic decision for selection of gamification platform.

  7. Mathematical model of a FAZOS-17/27-POp powered support unit

    Energy Technology Data Exchange (ETDEWEB)

    Krauze, K.; Losiak, S.; Ptak, J.

    1987-01-01

    Discusses a mathematical model of the FAZOS-17/27-POp powered support for strata control at longwall faces 1.7-2.7 m high mined with caving or hydraulic stowing. A powered support unit consists of a base, 4 hydraulic legs in 2 rows, a canopy, a telescopic canopy for increasing canopy length, and a rear lemniscate shield. The mathematical models developed by the authors describe operation of the powered support unit with extended telescopic canopy and with a closed telescopic canopy. Factors which decisively influence powered support operation and methods for increasing support stability are discussed. 3 refs.

  8. ELASTO-KINEMATIC COMPUTATIONAL MODEL OF SUSPENSION WITH FLEXIBLE SUPPORTING ELEMENTS

    Directory of Open Access Journals (Sweden)

    Tomáš Vrána

    2016-04-01

    Full Text Available This paper analyzes the impact of flexibility of individual supporting elements of independent suspension on its elasto-kinematic characteristics. The toe and camber angle are the geometric parameters of the suspension, which waveforms and their changes under the action of vertical, longitudinal and transverse forces affect the stability of the vehicle. To study these dependencies, the computational multibody system (MBS model of axle suspension in the system HyperWorks is created. There are implemented Finite-Element-Method (FEM models reflecting the flexibility of the main supporting elements. These are subframe, the longitudinal arms, transverse arms and knuckle. Flexible models are developed using Component Mode Synthesis (CMS by Craig-Bampton. The model further comprises force elements, such as helical springs, shock absorbers with a stop of the wheel and the anti-roll bar. Rubber-metal bushings are modeled flexibly, using nonlinear deformation characteristics. Simulation results are validated by experimental measurements of geometric parameters of real suspension.

  9. Experimental Study on Shear Performance of Bolt in Roadway Supporting

    Directory of Open Access Journals (Sweden)

    D.J. Li

    2014-09-01

    Full Text Available The corner bolt is proved to be effective in the control of floor deformation of roadway, and the relevant studies on bolting mechanisms are of great significance in improving roadway stability. In this paper, two types of shear tests on six forms of bolts are performed by using self-designed shear test device, the electro-hydraulic servo triaxial testing system. The shear characteristics of different types of bolts are obtained. The results show that different bolt rods or different internal filling conditions result in large differences in shear resistance and different deformation adaptability. We find that the filling materials added can improve the shear performance of bolt significantly, and the bolt with steel not only can improve the strength of bolt body, but also has the bimodal characteristic that makes the bolt have the secondary bearing capacity and withstand larger deformation range during the process of shear, and shows a better support performance. Hoping to provide the experiment basis for support design and field application in the future.

  10. Support for career development in youth: program models and evaluations.

    Science.gov (United States)

    Mekinda, Megan A

    2012-01-01

    This article examines four influential programs-Citizen Schools, After School Matters, career academies, and Job Corps-to demonstrate the diversity of approaches to career programming for youth. It compares the specific program models and draws from the evaluation literature to discuss strengths and weaknesses of each. The article highlights three key lessons derived from the models that have implications for career development initiatives more generally: (1) career programming can and should be designed for youth across a broad age range, (2) career programming does not have to come at the expense of academic training or preparation for college, and (3) program effectiveness depends on intentional design and high-quality implementation.

  11. A product-model supporting coupling's management during microproduct design

    DEFF Research Database (Denmark)

    Museau, Matthieu; De Grave, Arnaud; Masclet, Cedric

    2009-01-01

    Microproducts show specificities compared to macroproducts and their design processes differ. Nowadays, existing design tools manage microproduct specificities too late during the design process, only after the first product representation is available. This article presents a product-model able...... to represent microproducts during the design flow, taking into account their specificities and exceeding the limits of product representation in actual design tools. The genericity of this model is demonstrated by the instantiation of a micro electro mechanical system (MEMS) radio frequency (RF) switch....

  12. Modelling of the costs of decision support for small and medium-sized enterprises

    Directory of Open Access Journals (Sweden)

    Viera Tomišová

    2017-01-01

    Full Text Available The support of decision-making activities in small and medium-sized enterprises (SME has its specific features. When suggesting steps for the implementation of decision-support tools in the enterprise, we identified two main ways of decision-making support based on the data analysis: ERP (Enterprise Resource Planning without BI (Business Intelligence and ERP with BI. In our contribution, we present costs models of both mentioned decision support systems and their practical interpretation.

  13. Chinese Culture, Homosexuality Stigma, Social Support and Condom Use: A Path Analytic Model.

    Science.gov (United States)

    Liu, Hongjie; Feng, Tiejian; Ha, Toan; Liu, Hui; Cai, Yumao; Liu, Xiaoli; Li, Jian

    2011-01-01

    PURPOSE: The objective of this study was to examine the interrelationships among individualism, collectivism, homosexuality-related stigma, social support, and condom use among Chinese homosexual men. METHODS: A cross-sectional study using the respondent-driven sampling approach was conducted among 351 participants in Shenzhen, China. Path analytic modeling was used to analyze the interrelationships. RESULTS: The results of path analytic modeling document the following statistically significant associations with regard to homosexuality: (1) higher levels of vertical collectivism were associated with higher levels of public stigma [β (standardized coefficient) = 0.12] and self stigma (β = 0.12); (2) higher levels of vertical individualism were associated with higher levels self stigma (β = 0.18); (3) higher levels of horizontal individualism were associated with higher levels of public stigma (β = 0.12); (4) higher levels of self stigma were associated with higher levels of social support from sexual partners (β = 0.12); and (5) lower levels of public stigma were associated with consistent condom use (β = -0.19). CONCLUSIONS: The findings enhance our understanding of how individualist and collectivist cultures influence the development of homosexuality-related stigma, which in turn may affect individuals' decisions to engage in HIV-protective practices and seek social support. Accordingly, the development of HIV interventions for homosexual men in China should take the characteristics of Chinese culture into consideration.

  14. Developing a Model to Support Students in Solving Subtraction

    NARCIS (Netherlands)

    Murdiyani, N.M.; Zulkardi, Z.; Putri, R.I.; van Eerde, H.A.A.; van Galen, F.H.J.

    2013-01-01

    Subtraction has two meanings and each meaning leads to the different strategies. The meaning of “taking away something” suggests a direct subtraction, while the meaning of “determining the difference between two numbers” is more likely to be modeled as indirect addition. Many prior researches found

  15. Developing a Model to Support Students in Solving Subtraction

    NARCIS (Netherlands)

    Murdiyani, N.M.; Zulkardi, Z.; Putri, R.I.; van Eerde, H.A.A.|info:eu-repo/dai/nl/071855343; van Galen, F.H.J.|info:eu-repo/dai/nl/069437025

    2013-01-01

    Subtraction has two meanings and each meaning leads to the different strategies. The meaning of “taking away something” suggests a direct subtraction, while the meaning of “determining the difference between two numbers” is more likely to be modeled as indirect addition. Many prior researches found

  16. Computational Modeling in Support of the National Ignition Facilty Operations

    CERN Document Server

    Shaw, M J; Haynam, C A; Williams, W H

    2001-01-01

    Numerical simulation of the National Ignition Facility (NIF) laser performance and automated control of the laser setup process are crucial to the project's success. These functions will be performed by two closely coupled computer code: the virtual beamline (VBL) and the laser performance operations model (LPOM).

  17. Computational Modeling in Support of National Ignition Facility Operations

    Energy Technology Data Exchange (ETDEWEB)

    Shaw, M J; Sacks, R A; Haynam, C A; Williams, W H

    2001-10-23

    Numerical simulation of the National Ignition Facility (NIF) laser performance and automated control of laser setup process are crucial to the project's success. These functions will be performed by two closely coupled computer codes: the virtual beamline (VBL) and the laser operations performance model (LPOM).

  18. Developing a Model to Support Students in Solving Subtraction

    Science.gov (United States)

    Murdiyani, Nila Mareta; Zulkardi; Putri, Ratu Ilma Indra; van Eerde, Dolly; van Galen, Frans

    2013-01-01

    Subtraction has two meanings and each meaning leads to the different strategies. The meaning of "taking away something" suggests a direct subtraction, while the meaning of "determining the difference between two numbers" is more likely to be modeled as indirect addition. Many prior researches found that the second meaning and…

  19. Verifying OCL specifications of UML models : tool support and compositionality

    NARCIS (Netherlands)

    Kyas, Marcel

    2006-01-01

    The Unified Modelling Language (UML) and the Object Constraint Language (OCL) serve as specification languages for embedded and real-time systems used in a safety-critical environment. In this dissertation class diagrams, object diagrams, and OCL constraints are formalised. The formalisation serve

  20. Support for Career Development in Youth: Program Models and Evaluations

    Science.gov (United States)

    Mekinda, Megan A.

    2012-01-01

    This article examines four influential programs--Citizen Schools, After School Matters, career academies, and Job Corps--to demonstrate the diversity of approaches to career programming for youth. It compares the specific program models and draws from the evaluation literature to discuss strengths and weaknesses of each. The article highlights…

  1. Ontological Support in Modeling Learners' Problem Solving Process

    Science.gov (United States)

    Lu, Chun-Hung; Wu, Chia-Wei; Wu, Shih-Hung; Chiou, Guey-Fa; Hsu, Wen-Lian

    2005-01-01

    This paper presents a new model for simulating procedural knowledge in the problem solving process with our ontological system, InfoMap. The method divides procedural knowledge into two parts: process control and action performer. By adopting InfoMap, we hope to help teachers construct curricula (declarative knowledge) and teaching strategies by…

  2. Fishery landing forecasting using EMD-based least square support vector machine models

    Science.gov (United States)

    Shabri, Ani

    2015-05-01

    In this paper, the novel hybrid ensemble learning paradigm integrating ensemble empirical mode decomposition (EMD) and least square support machine (LSSVM) is proposed to improve the accuracy of fishery landing forecasting. This hybrid is formulated specifically to address in modeling fishery landing, which has high nonlinear, non-stationary and seasonality time series which can hardly be properly modelled and accurately forecasted by traditional statistical models. In the hybrid model, EMD is used to decompose original data into a finite and often small number of sub-series. The each sub-series is modeled and forecasted by a LSSVM model. Finally the forecast of fishery landing is obtained by aggregating all forecasting results of sub-series. To assess the effectiveness and predictability of EMD-LSSVM, monthly fishery landing record data from East Johor of Peninsular Malaysia, have been used as a case study. The result shows that proposed model yield better forecasts than Autoregressive Integrated Moving Average (ARIMA), LSSVM and EMD-ARIMA models on several criteria..

  3. The NASA-Langley Wake Vortex Modelling Effort in Support of an Operational Aircraft Spacing System

    Science.gov (United States)

    Proctor, Fred H.

    1998-01-01

    Two numerical modelling efforts, one using a large eddy simulation model and the other a numerical weather prediction model, are underway in support of NASA's Terminal Area Productivity program. The large-eddy simulation model (LES) has a meteorological framework and permits the interaction of wake vortices with environments characterized by crosswind shear, stratification, humidity, and atmospheric turbulence. Results from the numerical simulations are being used to assist in the development of algorithms for an operational wake-vortex aircraft spacing system. A mesoscale weather forecast model is being adapted for providing operational forecast of winds, temperature, and turbulence parameters to be used in the terminal area. This paper describes the goals and modelling approach, as well as achievements obtained to date. Simulation results will be presented from the LES model for both two and three dimensions. The 2-D model is found to be generally valid for studying wake vortex transport, while the 3-D approach is necessary for realistic treatment of decay via interaction of wake vortices and atmospheric boundary layer turbulence. Meteorology is shown to have an important affect on vortex transport and decay. Presented are results showing that wake vortex transport is unaffected by uniform fog or rain, but wake vortex transport can be strongly affected by nonlinear vertical change in the ambient crosswind. Both simulation and observations show that atmospheric vortices decay from the outside with minimal expansion of the core. Vortex decay and the onset three-dimensional instabilities are found to be enhanced by the presence of ambient turbulence.

  4. Decision support for dutch drought management and climate change with the Netherland Hydrological Modeling Instrument

    Science.gov (United States)

    Hunink, J.; Hoogewoud, J. C.; Prinsen, G.; Veldhuizen, A.

    2012-04-01

    Netherlands Hydrological Modeling Instrument Decision support for dutch drought management and climate change. J. Hunink , J.C.Hoogewoud , A. Veldhuizen , G. Prinsen , The Netherlands Hydrological modeling Instrument (NHI) is the center point of a framework of models, to coherently model the hydrological system and the multitude of functions it supports. Dutch hydrological institutes Deltares, Alterra, Netherlands Environmental Assessment Agency, RWS Waterdienst, STOWA and Vewin are cooperating in enhancing the NHI for adequate decision support. The instrument is used by three different ministries involved in national water policy matters, for instance drought management, manure policy and climate change issues. The basis of the modeling instrument is a state-of-the-art on-line coupling of the groundwater system (MODFLOW), the unsaturated zone (metaSWAP) and the surface water system (MOZART-DM). It brings together hydro(geo)logical processes from the column to the basin scale, ranging from 250x250m plots to the river Rhine and includes salt water flow. The NHI is validated with an eight year run (1998-2006) with dry and wet periods and is updated every year. During periods of water scarcity the NHI is used for operational forecasting and decision support system for the National Board of water Distribution. It provides data on nationwide calculated water demands, development of water levels in reservoirs and possible los of yield in agricultural area's. For the exploration of the future of fresh water supply in the Netherlands an extensive study is set up using the NHI. In this study different climate scenarios are being evalueated. In the first phase the focus is on describing the range of possible effects, the second phase focuses on adaptive measures and preparing for decisions how to alter the hydrological system. Results from the first phase show that in future scenario's fresh water may not be available to current water users. Important decisions about the

  5. Use of social network to support visually impaired people: A Facebook case study

    Directory of Open Access Journals (Sweden)

    Gustavo Miranda Caran

    Full Text Available The use of Information and Communication Technologies can be seen as an important factor for social inclusion in its different aspects - economic, social, relational and informational, among others. Inclusion potentiality is even more relevant for groups of people who face limiting life conditions which determine social barriers. This study investigated the social support offered to people with disabilities based on the social network analysis method. The research objective was to make the online support dynamics for low vision people, friends and relatives evident, having as case study the Facebook Low Vision group. The social network modelling and quantitative analysis were performed from user data collection, posts, comments and likes. Contents were classified according to the type of support (Emotional or Instrumental and according to its intention (Offered or Requested, represented in graphs as indicators for analysis. Results pointed towards a larger use rate of Instrumental and Offered support although a more intense and comprehensive exchange of Emotional and Requested support was found. Data collection limitations indicate the need for more empirical studies on the social use of socio-technical networks for different types of social support. This theme points to a research agenda about the role of information and communication technologies as a possible condition for inclusion, life quality and well-being of people with disabilities.

  6. Support of the Generic Framework programme : calibration of groundwater flow models

    NARCIS (Netherlands)

    Stroet, Chris C.B.M. te; Minnema, Benny

    2003-01-01

    This report is to support the “Generic Framework programme” which consists of a series of projects to create a standard in the modelling processes that are used in water management issues. The topic of support is the field of model calibration. TNO-NITG is elaborating the calibration of groundwater

  7. Enriching step-based product information models to support product life-cycle activities

    Science.gov (United States)

    Sarigecili, Mehmet Ilteris

    The representation and management of product information in its life-cycle requires standardized data exchange protocols. Standard for Exchange of Product Model Data (STEP) is such a standard that has been used widely by the industries. Even though STEP-based product models are well defined and syntactically correct, populating product data according to these models is not easy because they are too big and disorganized. Data exchange specifications (DEXs) and templates provide re-organized information models required in data exchange of specific activities for various businesses. DEXs show us it would be possible to organize STEP-based product models in order to support different engineering activities at various stages of product life-cycle. In this study, STEP-based models are enriched and organized to support two engineering activities: materials information declaration and tolerance analysis. Due to new environmental regulations, the substance and materials information in products have to be screened closely by manufacturing industries. This requires a fast, unambiguous and complete product information exchange between the members of a supply chain. Tolerance analysis activity, on the other hand, is used to verify the functional requirements of an assembly considering the worst case (i.e., maximum and minimum) conditions for the part/assembly dimensions. Another issue with STEP-based product models is that the semantics of product data are represented implicitly. Hence, it is difficult to interpret the semantics of data for different product life-cycle phases for various application domains. OntoSTEP, developed at NIST, provides semantically enriched product models in OWL. In this thesis, we would like to present how to interpret the GD & T specifications in STEP for tolerance analysis by utilizing OntoSTEP.

  8. Study supporting the phasing out of environmentally harmful subsidies

    Energy Technology Data Exchange (ETDEWEB)

    Withana, S.; Ten Brink, P.; Franckx, L.; Hirschnitz-Garbers, M.; Mayeres, I.; Oosterhuis, F.; Porsch, L.

    2012-10-15

    The need to reform ineffective or harmful public subsidies has long been recognised and has been a contentious point of discussion for several years. The EU has a long-standing commitment to removing or phasing out environmentally harmful subsidies (EHS). Most recently, the need to phase out EHS is reiterated in the 'Roadmap for a resource efficient Europe' which includes a milestone that 'by 2020 EHS will be phased out, with due regard to the impact on people in need'. Despite several commitments, progress has been slow and subsidies remain an issue in most EU countries. This study focuses specifically on EHS at the level of EU Member States; it identifies key types of EHS and examines cases of existing EHS across a range of environmental sectors and issues, including subsidies from non-action. The study also analyses examples of good practices in the reform of EHS in EU Member States and the lessons that can be learnt from these cases. Finally, based on this analysis, it develops practical recommendations on phasing out and reforming EHS to support the objectives of the Europe 2020 Strategy and the resource efficiency agenda. The study was carried out between January and October 2012 and is based on an analysis of literature and consultation with experts and policy makers. The sectoral cases studied are listed and discussed in the annexes report: agriculture, climate and energy, fisheries, food, forestry, materials, transport, waste, and water.

  9. The trends in technology supported collaborative learning studies in 21st century

    Directory of Open Access Journals (Sweden)

    Hafize Keser, Huseyin Uzunboylu, Fezile Ozdamli

    2011-08-01

    Full Text Available Technology supported collaborative learning, assists individuals to work as a team for a common purpose or mission by using computer, internet and such technologies. For a common mission, active learning should be provided by applying collaborative learning approach. A lot of studies had been done with using collaborative learning. In order to learn the effectiveness of collaborative learning, a variety of studies and techniques should be prepared. Collaborative learning studies support individuals to be learners for a life time. Besides, there exist considerable numbers of studies that were done on the techniques of technology supported collaborative learning. In significant proportion of the presented studies, the online systems have been introduced that were developed for technology supported collaborative learning. In literature, meta-analysis studies were also found related to collaborative learning methods (Jigsaw etc.. When the literature is examined a lot of studies are found related to the particular subject however, there do not exist any recent made researches on the trends of this topic. The main purpose of this study is to determine new trends for those who aim to make research in technology supported collaborative learning, published in popular magazines in the field of education technology between the years 2005 and 2010. Four journals had been chosen in the study to be identified within the scope of SSCI from EBSCO database. 114 studies have been attained after the scan made on SSCI covered journals published between the years 2005 and 2010. The reporting of the study was grouped according to following criteria; publishing year of the finding, article number (of the journals, number of authors, research field, techniques, study environment, research country (sampling group, study model, number of references, researchers’ county, the number of studies made with the researchers from different countries, type of the study

  10. Experimentally supported mathematical modeling of continuous baking processes

    DEFF Research Database (Denmark)

    Stenby Andresen, Mette

    The scope of the PhD project was to increase knowledge on the process-to-product interactions in continuous tunnel ovens. The work has focused on five main objectives. These objectives cover development of new experimental equipment for pilot plant baking experiments, mathematical modeling of heat...... in this thesis. The oven was successfully validated against a 10 m tunnel oven. Besides the ability to emulate the baking conditions in a tunnel oven, the new batch oven is designed and constructed for experimental research work. In the design options to follow the product continuously (especially weight...... and temperature) and control the process (air flow, temperature, and humidity) are therefore emphasized. The oven is furthermore designed to work outside the range of standard tunnel ovens, making it interesting for manufacturers of both baking products and baking equipment. A mathematical model describing...

  11. [Cancer screening in Hungary: World Bank supported model programs].

    Science.gov (United States)

    Bodó, M; Döbrössy, L; Liszka, G; Ottó, S; Péter, Z

    1997-07-13

    Since 1995, a model cancer screening program has been in operation in Hungary, the overall purpose of which is to promote the establishment of effective and efficient screening programs by means of adapting the internationally agreed principles of organized screening to the needs and opportunities in Hungary. The establishment and operation of a national population-based cancer registration system is an other aim of the Program. The model program--financed partly from a loan from the World Bank, partly from local funds provided by the Government of Hungary--is to develop standard procedure for cervical, breast and colorectal screening and to end up with tested recommendations for introduction of organized screening of proved effectiveness, integrated into the health care system, on country-wide service bases in Hungary.

  12. AskIT Service Desk Support Value Model

    Energy Technology Data Exchange (ETDEWEB)

    Ashcraft, Phillip Lynn [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Cummings, Susan M. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Fogle, Blythe G. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Valdez, Christopher D. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2015-08-07

    The value model discussed herein provides an accurate and simple calculation of the funding required to adequately staff the AskIT Service Desk (SD).  The model is incremental – only technical labor cost is considered.  All other costs, such as management, equipment, buildings, HVAC, and training are considered common elements of providing any labor related IT Service. Depending on the amount of productivity loss and the number of hours the defect was unresolved, the value of resolving work from the SD is unquestionably an economic winner; the average cost of $16 per SD resolution can commonly translate to cost avoidance exceeding well over $100. Attempting to extract too much from the SD will likely create a significant downside. The analysis used to develop the value model indicates that the utilization of the SD is very high (approximately 90%).  As a benchmark, consider a comment from a manager at Vitalyst (a commercial IT service desk) that their utilization target is approximately 60%.  While high SD utilization is impressive, over the long term it is likely to cause unwanted consequences to staff such as higher turnover, illness, or burnout.  A better solution is to staff the SD so that analysts have time to improve skills through training, develop knowledge, improve processes, collaborate with peers, and improve customer relationship skills.

  13. Biotic origin for Mima mounds supported by numerical modeling

    Science.gov (United States)

    Gabet, Emmanuel J.; Perron, J. Taylor; Johnson, Donald L.

    2014-02-01

    Mima mounds are ~ 1-m-high hillocks found on every continent except Antarctica. Despite often numbering in the millions within a single field, their origin has been a mystery, with proposed explanations ranging from glacial processes to seismic shaking. One hypothesis proposes that mounds in North America are built by burrowing mammals to provide refuge from seasonally saturated soils. We test this hypothesis with a numerical model, parameterized with measurements of soil transport by gophers from a California mound field, that couples animal behavior with geomorphic processes. The model successfully simulates the development of the mounds as well as key details such as the creation of vernal pools, small intermound basins that provide habitat for endemic species. Furthermore, we demonstrate that the spatial structure of the modeled mound fields is similar to actual mound fields and provides an example of self-organized topographic features. We conclude that, scaled by body mass, Mima mounds are the largest structures built by nonhuman mammals and may provide a rare example of an evolutionary coupling between landforms and the organisms that create them.

  14. Biotic Origin for Mima Mounds Supported by Numerical Model

    Science.gov (United States)

    Gabet, E. J.; Perron, J.; Johnson, D. L.

    2013-12-01

    Mima mounds are ~1-m-high hillocks found on every continent except Antarctica. Despite often numbering in the millions within a single field, their origin has been a mystery, with proposed explanations ranging from glacial processes to seismic shaking. One hypothesis proposes that mounds in North America are built by burrowing mammals to provide refuge from seasonally saturated soils. We test this hypothesis with a numerical model, parameterized with measurements of soil transport by gophers from a California mound field, that couples animal behavior with geomorphic processes. The model successfully simulates the development of the mounds, as well as key details such as the creation of vernal pools, small intermound basins that provide habitat for endemic species. Furthermore, we demonstrate that the spatial structure of the modeled mound fields is similar to actual mound fields and provides an example of self-organized topographic features. We conclude that, scaled by body mass, Mima mounds are the largest structures built by non-human mammals, and may provide a rare example of an evolutionary coupling between landforms and the organisms that create them.

  15. R&D IN FUNCTION OF DIRECT PUBLIC SUPPORTS TO SMEs: AN EXPLORATORY STUDY IN TURKEY

    Directory of Open Access Journals (Sweden)

    Filiz Giray

    2015-05-01

    Full Text Available The globalization has increased the importance of research and development (R&D activity and of technological advancements, especially in information and communication technologies. This case is valid for small and medium-sized enterprises (SMEs which have taken a crucial place in all economies. Since R&D activities have high costs and public features, these activities cannot be carried out by firm, especially SMEs’ fiscal sources. Direct supports play a key-role in most countries. In related literature, many researchers have stressed that direct public supports towards R&D activities are important for SMEs. Recently, the requirement of public support in R&D activities has been increased in Turkey, just as in most countries. The study investigated both the relationship between direct public supports and R&D in SMEs and the factors determining the using level of R&D supports with an empirical study for Turkey as a sample. A survey of 600 SMEs in Turkey was conducted by a research company on behalf of the authors. The survey data have been estimated by logistic regression analysis and allow us to indicate the factors which determine the using level of direct public supports of SMEs. According to the logistic regression model, the determiner factors are the information level of firms on R&D supports, available convenient support kind, the number of licenses and patents, supply of new product to market etc., in order to increase the possibility for benefit from supports. The most important factor is the fact that SMEs obtain licenses and patents. These results provide contribution to improving R&D activities in SMEs.

  16. Intelligent Model Management in a Forest Ecosystem Management Decision Support System

    Science.gov (United States)

    Donald Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mark Twery; H. Michael Rauscher; Peter Knopp; Scott Thomasma; Mayukh Dass; Hajime Uchiyama

    2002-01-01

    Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard...

  17. Invited review: Experimental design, data reporting, and sharing in support of animal systems modeling research.

    Science.gov (United States)

    McNamara, J P; Hanigan, M D; White, R R

    2016-12-01

    The National Animal Nutrition Program "National Research Support Project 9" supports efforts in livestock nutrition, including the National Research Council's committees on the nutrient requirements of animals. Our objective was to review the status of experimentation and data reporting in animal nutrition literature and to provide suggestions for the advancement of animal nutrition research and the ongoing improvement of field-applied nutrient requirement models. Improved data reporting consistency and completeness represent a substantial opportunity to improve nutrition-related mathematical models. We reviewed a body of nutrition research; recorded common phrases used to describe diets, animals, housing, and environmental conditions; and proposed equivalent numerical data that could be reported. With the increasing availability of online supplementary material sections in journals, we developed a comprehensive checklist of data that should be included in publications. To continue to improve our research effectiveness, studies utilizing multiple research methodologies to address complex systems and measure multiple variables will be necessary. From the current body of animal nutrition literature, we identified a series of opportunities to integrate research focuses (nutrition, reproduction and genetics) to advance the development of nutrient requirement models. From our survey of current experimentation and data reporting in animal nutrition, we identified 4 key opportunities to advance animal nutrition knowledge: (1) coordinated experiments should be designed to employ multiple research methodologies; (2) systems-oriented research approaches should be encouraged and supported; (3) publication guidelines should be updated to encourage and support sharing of more complete data sets; and (4) new experiments should be more rapidly integrated into our knowledge bases, research programs and practical applications. Copyright © 2016 American Dairy Science Association

  18. Computer-Supported Modelling of Multi modal Transportation Networks Rationalization

    Directory of Open Access Journals (Sweden)

    Ratko Zelenika

    2007-09-01

    Full Text Available This paper deals with issues of shaping and functioning ofcomputer programs in the modelling and solving of multimoda Itransportation network problems. A methodology of an integrateduse of a programming language for mathematical modellingis defined, as well as spreadsheets for the solving of complexmultimodal transportation network problems. The papercontains a comparison of the partial and integral methods ofsolving multimodal transportation networks. The basic hypothesisset forth in this paper is that the integral method results inbetter multimodal transportation network rationalization effects,whereas a multimodal transportation network modelbased on the integral method, once built, can be used as the basisfor all kinds of transportation problems within multimodaltransport. As opposed to linear transport problems, multimodaltransport network can assume very complex shapes. This papercontains a comparison of the partial and integral approach totransp01tation network solving. In the partial approach, astraightforward model of a transp01tation network, which canbe solved through the use of the Solver computer tool within theExcel spreadsheet inteiface, is quite sufficient. In the solving ofa multimodal transportation problem through the integralmethod, it is necessmy to apply sophisticated mathematicalmodelling programming languages which supp01t the use ofcomplex matrix functions and the processing of a vast amountof variables and limitations. The LINGO programming languageis more abstract than the Excel spreadsheet, and it requiresa certain programming knowledge. The definition andpresentation of a problem logic within Excel, in a manner whichis acceptable to computer software, is an ideal basis for modellingin the LINGO programming language, as well as a fasterand more effective implementation of the mathematical model.This paper provides proof for the fact that it is more rational tosolve the problem of multimodal transportation networks by

  19. Craniometric data supports demic diffusion model for the spread of agriculture into Europe.

    LENUS (Irish Health Repository)

    Pinhasi, Ron

    2009-01-01

    BACKGROUND: The spread of agriculture into Europe and the ancestry of the first European farmers have been subjects of debate and controversy among geneticists, archaeologists, linguists and anthropologists. Debates have centred on the extent to which the transition was associated with the active migration of people as opposed to the diffusion of cultural practices. Recent studies have shown that patterns of human cranial shape variation can be employed as a reliable proxy for the neutral genetic relationships of human populations. METHODOLOGY\\/PRINCIPAL FINDINGS: Here, we employ measurements of Mesolithic (hunter-gatherers) and Neolithic (farmers) crania from Southwest Asia and Europe to test several alternative population dispersal and hunter-farmer gene-flow models. We base our alternative hypothetical models on a null evolutionary model of isolation-by-geographic and temporal distance. Partial Mantel tests were used to assess the congruence between craniometric distance and each of the geographic model matrices, while controlling for temporal distance. Our results demonstrate that the craniometric data fit a model of continuous dispersal of people (and their genes) from Southwest Asia to Europe significantly better than a null model of cultural diffusion. CONCLUSIONS\\/SIGNIFICANCE: Therefore, this study does not support the assertion that farming in Europe solely involved the adoption of technologies and ideas from Southwest Asia by indigenous Mesolithic hunter-gatherers. Moreover, the results highlight the utility of craniometric data for assessing patterns of past population dispersal and gene flow.

  20. Craniometric data supports demic diffusion model for the spread of agriculture into Europe.

    Directory of Open Access Journals (Sweden)

    Ron Pinhasi

    Full Text Available BACKGROUND: The spread of agriculture into Europe and the ancestry of the first European farmers have been subjects of debate and controversy among geneticists, archaeologists, linguists and anthropologists. Debates have centred on the extent to which the transition was associated with the active migration of people as opposed to the diffusion of cultural practices. Recent studies have shown that patterns of human cranial shape variation can be employed as a reliable proxy for the neutral genetic relationships of human populations. METHODOLOGY/PRINCIPAL FINDINGS: Here, we employ measurements of Mesolithic (hunter-gatherers and Neolithic (farmers crania from Southwest Asia and Europe to test several alternative population dispersal and hunter-farmer gene-flow models. We base our alternative hypothetical models on a null evolutionary model of isolation-by-geographic and temporal distance. Partial Mantel tests were used to assess the congruence between craniometric distance and each of the geographic model matrices, while controlling for temporal distance. Our results demonstrate that the craniometric data fit a model of continuous dispersal of people (and their genes from Southwest Asia to Europe significantly better than a null model of cultural diffusion. CONCLUSIONS/SIGNIFICANCE: Therefore, this study does not support the assertion that farming in Europe solely involved the adoption of technologies and ideas from Southwest Asia by indigenous Mesolithic hunter-gatherers. Moreover, the results highlight the utility of craniometric data for assessing patterns of past population dispersal and gene flow.

  1. An Improved Model Facet Method to Support EA Alignment

    Directory of Open Access Journals (Sweden)

    Jonathan Pepin

    2016-12-01

    Full Text Available Information System evolution requires a well-structured Enterprise Architecture and its rigorous management. The alignment of the elements in the architecture according to various abstraction layers may contribute to the management but appropriate tools are needed. We propose improvements to the Facet technique and we develop accompanying tools to master the difficulties of the alignment of the models used to structure an Enterprise Architecture. This technique has been experimented on many real life cases to demonstrate the effectiveness of our EA alignment method. The tools are already integrated in the Eclipse EMF Facet project.

  2. A Classification Methodology and Retrieval Model to Support Software Reuse

    Science.gov (United States)

    1988-01-01

    Smart .... 42 2.22.2 Sire ....... 42 2.2.2.3 Caliban _ 43 2.23 Probabilistic Information Retrieval 44 2.23.1 Harter’s Model __ 45 2.23.2 University of...attribute vectors destroys the boolean structure. 22.23 Caliban Caliban is an experimental IR system developed at the Swiss Federal Institute of...information items. To retrieve information using Caliban , the user specifies a "virtual information item" (fills out a template describing the item

  3. Software Support of Modelling using Ergonomic Tools in Engineering

    Directory of Open Access Journals (Sweden)

    Darina Dupláková

    2017-08-01

    Full Text Available One of the preconditions for correct development of industrial production is continuous interconnecting of virtual reality and real world by computer software. Computer software are used for product modelling, creation of technical documentation, scheduling, management and optimization of manufacturing processes, and efficiency increase of human work in manufacturing plants. This article describes the frequent used ergonomic software which helping to increase of human work by error rate reducing, risks factors of working environment, injury in workplaces and elimination of arising occupational diseases. They are categorized in the field of micro ergonomics and they are applicable at the manufacturing level with flexible approach in solving of established problems.

  4. Development of a Generalized Explanatory Base Operating Support (GEBOS) Model

    Science.gov (United States)

    1980-01-01

    included by a module that specified the order in which unit capabilities would be decremented. The model would reduce mission capabilities in order of the...6 62559. -O 81949. -;i0 1062509. 4 �. z i, 167011. -:80 3554. 500 41727.50 36798. 7!171. 6 ’C P ADM?1 59. 37 0. :8 ADMIIISTPATION 600 " FPSO ...output of.the linear program module is stored in the data set "BOSLST." The linear programming problem as described in "BOSTMP" has the following

  5. How to Support Forest Management in a World of Change: Results of Some Regional Studies

    Science.gov (United States)

    Fürst, C.; Lorz, C.; Vacik, H.; Potocic, N.; Makeschin, F.

    2010-12-01

    This article presents results of several studies in Middle, Eastern and Southeastern Europe on needs and application areas, desirable attributes and marketing potentials of forest management support tools. By comparing present and future application areas, a trend from sectoral planning towards landscape planning and integration of multiple stakeholder needs is emerging. In terms of conflicts, where management support tools might provide benefit, no clear tendencies were found, neither on local nor on regional level. In contrast, on national and European levels, support of the implementation of laws, directives, and regulations was found to be of highest importance. Following the user-requirements analysis, electronic tools supporting communication are preferred against paper-based instruments. The users identified most important attributes of optimized management support tools: (i) a broad accessibility for all users at any time should be guaranteed, (ii) the possibility to integrate iteratively experiences from case studies and from regional experts into the knowledge base (learning system) should be given, and (iii) a self-explanatory user interface is demanded, which is also suitable for users rather inexperienced with electronic tools. However, a market potential analysis revealed that the willingness to pay for management tools is very limited, although the participants specified realistic ranges of maximal amounts of money, which would be invested if the products were suitable and payment inevitable. To bridge the discrepancy between unwillingness to pay and the need to use management support tools, optimized financing or cooperation models between practice and science must be found.

  6. How to support forest management in a world of change: results of some regional studies.

    Science.gov (United States)

    Fürst, C; Lorz, C; Vacik, H; Potocic, N; Makeschin, F

    2010-12-01

    This article presents results of several studies in Middle, Eastern and Southeastern Europe on needs and application areas, desirable attributes and marketing potentials of forest management support tools. By comparing present and future application areas, a trend from sectoral planning towards landscape planning and integration of multiple stakeholder needs is emerging. In terms of conflicts, where management support tools might provide benefit, no clear tendencies were found, neither on local nor on regional level. In contrast, on national and European levels, support of the implementation of laws, directives, and regulations was found to be of highest importance. Following the user-requirements analysis, electronic tools supporting communication are preferred against paper-based instruments. The users identified most important attributes of optimized management support tools: (i) a broad accessibility for all users at any time should be guaranteed, (ii) the possibility to integrate iteratively experiences from case studies and from regional experts into the knowledge base (learning system) should be given, and (iii) a self-explanatory user interface is demanded, which is also suitable for users rather inexperienced with electronic tools. However, a market potential analysis revealed that the willingness to pay for management tools is very limited, although the participants specified realistic ranges of maximal amounts of money, which would be invested if the products were suitable and payment inevitable. To bridge the discrepancy between unwillingness to pay and the need to use management support tools, optimized financing or cooperation models between practice and science must be found.

  7. Reporting guidelines for modelling studies

    Directory of Open Access Journals (Sweden)

    Bennett Carol

    2012-11-01

    Full Text Available Abstract Background Modelling studies are used widely to help inform decisions about health care and policy and their use is increasing. However, in order for modelling to gain strength as a tool for health policy, it is critical that key model factors are transparent so that users of models can have a clear understanding of the model and its limitations.Reporting guidelines are evidence-based tools that specify minimum criteria for authors to report their research such that readers can both critically appraise and interpret study findings. This study was conducted to determine whether there is an unmet need for population modelling reporting guidelines. Methods We conducted a review of the literature to identify: 1 guidance for reporting population modelling studies; and, 2 evidence on the quality of reporting of population modelling studies. Guidance for reporting was analysed using a thematic approach and the data was summarised as frequencies. Evidence on the quality of reporting was reviewed and summarized descriptively. Results There were no guidelines that specifically addressed the reporting of population modelling studies. We identified a number of reporting guidelines for economic evaluation studies, some of which had sections that were relevant population modelling studies. Amongst seven relevant records, we identified 69 quality criteria that have distinct reporting characteristics. We identified two papers that addressed reporting practices of modelling studies. Overall, with the exception of describing the data used for calibration, there was little consistency in reporting. Conclusions While numerous guidelines exist for developing and evaluating health technology assessment and economic evaluation models, which by extension could be applicable to population modelling studies, there is variation in their comprehensiveness and in the consistency of reporting these methods. Population modelling studies may be an area which would

  8. Using Mobile Health to Support the Chronic Care Model: Developing an Institutional Initiative

    Directory of Open Access Journals (Sweden)

    Shantanu Nundy

    2012-01-01

    Full Text Available Background. Self-management support and team-based care are essential elements of the Chronic Care Model but are often limited by staff availability and reimbursement. Mobile phones are a promising platform for improving chronic care but there are few examples of successful health system implementation. Program Development. An iterative process of program design was built upon a pilot study and engaged multiple institutional stakeholders. Patients identified having a “human face” to the pilot program as essential. Stakeholders recognized the need to integrate the program with primary and specialty care but voiced concerns about competing demands on clinician time. Program Description. Nurse administrators at a university-affiliated health plan use automated text messaging to provide personalized self-management support for member patients with diabetes and facilitate care coordination with the primary care team. For example, when a patient texts a request to meet with a dietitian, a nurse-administrator coordinates with the primary care team to provide a referral. Conclusion. Our innovative program enables the existing health system to support a de novo care management program by leveraging mobile technology. The program supports self-management and team-based care in a way that we believe engages patients yet meets the limited availability of providers and needs of health plan administrators.

  9. Support vector machine-based open crop model (SBOCM): Case of rice production in China.

    Science.gov (United States)

    Su, Ying-Xue; Xu, Huan; Yan, Li-Jiao

    2017-03-01

    Existing crop models produce unsatisfactory simulation results and are operationally complicated. The present study, however, demonstrated the unique advantages of statistical crop models for large-scale simulation. Using rice as the research crop, a support vector machine-based open crop model (SBOCM) was developed by integrating developmental stage and yield prediction models. Basic geographical information obtained by surface weather observation stations in China and the 1:1000000 soil database published by the Chinese Academy of Sciences were used. Based on the principle of scale compatibility of modeling data, an open reading frame was designed for the dynamic daily input of meteorological data and output of rice development and yield records. This was used to generate rice developmental stage and yield prediction models, which were integrated into the SBOCM system. The parameters, methods, error resources, and other factors were analyzed. Although not a crop physiology simulation model, the proposed SBOCM can be used for perennial simulation and one-year rice predictions within certain scale ranges. It is convenient for data acquisition, regionally applicable, parametrically simple, and effective for multi-scale factor integration. It has the potential for future integration with extensive social and economic factors to improve the prediction accuracy and practicability.

  10. Support vector machine-based open crop model (SBOCM: Case of rice production in China

    Directory of Open Access Journals (Sweden)

    Ying-xue Su

    2017-03-01

    Full Text Available Existing crop models produce unsatisfactory simulation results and are operationally complicated. The present study, however, demonstrated the unique advantages of statistical crop models for large-scale simulation. Using rice as the research crop, a support vector machine-based open crop model (SBOCM was developed by integrating developmental stage and yield prediction models. Basic geographical information obtained by surface weather observation stations in China and the 1:1000000 soil database published by the Chinese Academy of Sciences were used. Based on the principle of scale compatibility of modeling data, an open reading frame was designed for the dynamic daily input of meteorological data and output of rice development and yield records. This was used to generate rice developmental stage and yield prediction models, which were integrated into the SBOCM system. The parameters, methods, error resources, and other factors were analyzed. Although not a crop physiology simulation model, the proposed SBOCM can be used for perennial simulation and one-year rice predictions within certain scale ranges. It is convenient for data acquisition, regionally applicable, parametrically simple, and effective for multi-scale factor integration. It has the potential for future integration with extensive social and economic factors to improve the prediction accuracy and practicability.

  11. Support for the 7-factor hybrid model of PTSD in a community sample.

    Science.gov (United States)

    Seligowski, Antonia V; Orcutt, Holly K

    2016-03-01

    Research suggests that 4-factor models of posttraumatic stress disorder (PTSD) may be improved upon by the addition of novel factors, such as Dysphoric Arousal, Externalizing Behaviors, and Anhedonia. However, a novel 7-factor hybrid model has demonstrated superior fit in veteran and undergraduate samples. The current study sought to replicate this finding in a trauma-exposed community sample and examined relations with positive (PA) and negative affect (NA). Participants included 403 adults (M(age) = 37.75) recruited through Amazon's MTurk. PTSD was measured using the PTSD Checklist-5 (PCL-5). Confirmatory factor analyses were conducted in Mplus. The 7-factor hybrid model demonstrated good fit: CFI = .96, TLI = .95, RMSEA = .06 (90% CI [.05, .07]), SRMR = .03. This model was superior to the 5- and 6-factor models. All factors demonstrated significant relations with PA and NA, the largest of which were the Externalizing Behaviors (with NA) and Anhedonia (with PA) factors. Results provide support for the 7-factor hybrid model of PTSD using the PCL-5 in a community sample. Findings replicate previous research suggesting that PTSD is highly related to NA, which has been purported as an underlying dimension of PTSD. It is recommended that future research use clinical measures to further examine the hybrid model. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  12. Supported cobalt catalysts - preparation, characterization and reaction studies

    OpenAIRE

    Backman, Leif

    2009-01-01

    The aim of this work was to understand on the effect of thermal treatments, precursor and support on the interaction between the support and cobalt species, and further how the interaction affects the reducibility and dispersion of the catalyst. Silica and alumina supported cobalt catalysts were prepared, characterised and tested for catalytic activity. The catalysts were prepared by gas phase deposition techniques from cobalt acetylacetonate and cobalt carbonyl and by incipient wetness impre...

  13. Validation of Superelement Modelling of Complex Offshore Support Structures

    DEFF Research Database (Denmark)

    Wang, Shaofeng; Larsen, Torben J.; Hansen, Anders Melchior

    2016-01-01

    Modern large MW wind turbines today are installed at larger water depth than applicable for traditional monopile substructure. It appears that foundation types such as jacket and tripod are gaining more popularity for these locations. For certification purposes, a full set of design load calculat......Modern large MW wind turbines today are installed at larger water depth than applicable for traditional monopile substructure. It appears that foundation types such as jacket and tripod are gaining more popularity for these locations. For certification purposes, a full set of design load...... calculations consisting of up to thousands design load cases needs to be evaluated. However, even the simplest aero-elastic model of such structures has many more DOFs than monopile, resulting in excessive computation burden. In order to deal with this problem, the superelement method has been introduced...... for modelling such structures. One superelement method has been proven very promising in the previous project of Wave Loads [1] and a fundamental question in such DOFs reduction methods is which modes that are essential and which modes can be neglected. For the jacket structure, the introduction of a gravity...

  14. ATMOSPHERIC MODELING IN SUPPORT OF A ROADWAY ACCIDENT

    Energy Technology Data Exchange (ETDEWEB)

    Buckley, R.; Hunter, C.

    2010-10-21

    The United States Forest Service-Savannah River (USFS) routinely performs prescribed fires at the Savannah River Site (SRS), a Department of Energy (DOE) facility located in southwest South Carolina. This facility covers {approx}800 square kilometers and is mainly wooded except for scattered industrial areas containing facilities used in managing nuclear materials for national defense and waste processing. Prescribed fires of forest undergrowth are necessary to reduce the risk of inadvertent wild fires which have the potential to destroy large areas and threaten nuclear facility operations. This paper discusses meteorological observations and numerical model simulations from a period in early 2002 of an incident involving an early-morning multicar accident caused by poor visibility along a major roadway on the northern border of the SRS. At the time of the accident, it was not clear if the limited visibility was due solely to fog or whether smoke from a prescribed burn conducted the previous day just to the northwest of the crash site had contributed to the visibility. Through use of available meteorological information and detailed modeling, it was determined that the primary reason for the low visibility on this night was fog induced by meteorological conditions.

  15. Partnerships for success: A collaborative support model to enhance the first year student experience

    Directory of Open Access Journals (Sweden)

    Johanna Einfalt

    2013-04-01

    Full Text Available Recent discourse about engaging first year students calls for more collaboration in terms of adopting a holistic approach to course delivery and support. This paper discusses a collaborative support model operating at a regional Australian university since 2008. In particular, it describes a collaborative support initiative emerging from this model that is based on providing an informal consultative space where students can drop-in and gain assessment support for research, writing and content. A focus group, online surveys and interviews with co-ordinators were conducted to evaluate the impact of this initiative. Findings suggest that this collaborative support model impacts on the first year student experience by: raising awareness about academic skills and the processes for researching and writing; promoting peer learning opportunities; building confidence and providing suitable support for a diverse range of students.

  16. Designing for the home: a comparative study of support aids for central heating systems.

    Science.gov (United States)

    Sauer, J; Wastell, D G; Schmeink, C

    2009-03-01

    The study examined the influence of different types of enhanced system support on user performance during the management of a central heating system. A computer-based simulation of a central heating system, called CHESS V2.0, was used to model different interface options, providing different support facilities to the user (e.g., historical, predictive, and instructional displays). Seventy-five participants took part in the study and completed a series of operational scenarios under different support conditions. The simulation environment allowed the collection of performance measures (e.g., energy consumption), information sampling, and system control behaviour. Subjective user evaluations of various aspects of the system were also measured. The results showed performance gains for predictive displays whereas no such benefits were observed for the other display types. The data also revealed that status and predictive displays were valued most highly by users. The implications of the findings for designers of central heating systems are discussed.

  17. The relations between interpersonal self-support traits and emotion regulation strategies: a longitudinal study.

    Science.gov (United States)

    Xia, Ling-Xiang; Gao, Xin; Wang, Qian; Hollon, Steven D

    2014-08-01

    Although several cross-sectional surveys have shown that certain traits such as extraversion and neuroticism are related to emotion regulation, few studies have explored the nature of this relationship. The present study tried to explore the longitudinal relation between traits and emotion regulation strategies. The Interpersonal Self-Support Scale for Middle School Students (ISSS-MSS) and the Emotion Regulation Questionnaire (ERQ) were administrated to 374 middle school students two times across a 6-month interval. A path analysis via structural equation modeling of the five interpersonal self-support traits and the two emotion regulation strategies was tested. The results showed that interpersonal independence predicted expressive suppression and cognitive reappraisal, and that interpersonal initiative also predicted reappraisal, while reappraisal predicted interpersonal flexibility and interpersonal openness 6 month later. These results support the hypotheses that some personality traits influence certain emotion regulation strategies, while other traits may be influenced by specific emotion regulation strategies.

  18. A model comparison approach shows stronger support for economic models of fertility decline.

    Science.gov (United States)

    Shenk, Mary K; Towner, Mary C; Kress, Howard C; Alam, Nurul

    2013-05-14

    The demographic transition is an ongoing global phenomenon in which high fertility and mortality rates are replaced by low fertility and mortality. Despite intense interest in the causes of the transition, especially with respect to decreasing fertility rates, the underlying mechanisms motivating it are still subject to much debate. The literature is crowded with competing theories, including causal models that emphasize (i) mortality and extrinsic risk, (ii) the economic costs and benefits of investing in self and children, and (iii) the cultural transmission of low-fertility social norms. Distinguishing between models, however, requires more comprehensive, better-controlled studies than have been published to date. We use detailed demographic data from recent fieldwork to determine which models produce the most robust explanation of the rapid, recent demographic transition in rural Bangladesh. To rigorously compare models, we use an evidence-based statistical approach using model selection techniques derived from likelihood theory. This approach allows us to quantify the relative evidence the data give to alternative models, even when model predictions are not mutually exclusive. Results indicate that fertility, measured as either total fertility or surviving children, is best explained by models emphasizing economic factors and related motivations for parental investment. Our results also suggest important synergies between models, implicating multiple causal pathways in the rapidity and degree of recent demographic transitions.

  19. Information support model and its impact on utility, satisfaction and loyalty of users

    Directory of Open Access Journals (Sweden)

    Sead Šadić

    2016-11-01

    Full Text Available In today’s modern age, information systems are of vital importance for successful performance of any organization. The most important role of any information system is its information support. This paper develops an information support model and presents the results of the survey examining the effects of such model. The survey was performed among the employees of Brčko District Government and comprised three phases. The first phase assesses the influence of the quality of information support and information on information support when making decisions. The second phase examines the impact of information support when making decisions on the perceived availability and user satisfaction with information support. The third phase examines the effects of perceived usefulness as well as information support satisfaction on user loyalty. The model is presented using six hypotheses, which were tested by means of a multivariate regression analysis. The demonstrated model shows that the quality of information support and information is of vital importance in the decision-making process. The perceived usefulness and customer satisfaction are of vital importance for continuous usage of information support. The model is universal, and if slightly modified, it can be used in any sphere of life where satisfaction is measured for clients and users of some service.

  20. A Didactic Model of Computer Supported Education in Higher Mathematics

    OpenAIRE

    Karakoleva, Stefka

    2016-01-01

    Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2016 The objective of the study is the mathematics and IT competence of the students in engineering profiles. The subject of the study is the incorporation of CAS and cloud technologies in training university students aimed to avoid the heavy routine calculations. This approach allows to put the stress on the qualitative aspects of mathematics ap...

  1. Applying sustainability theory to transport infrastructure assessment using a multiplicative ahp decision support model

    DEFF Research Database (Denmark)

    Pryn, Marie Ridley; Cornet, Yannick; Salling, Kim Bang

    2015-01-01

    of sustainability supported by ecological economists. This conceptualisation is operationalized by the use of Multi-Criteria Decision Analysis (MCDA) and a multiplicative version of the Analytic Hierarchy Process (AHP). The planning and decision-making process related to a new connection across the Roskilde Fjord...... in Frederikssund, Denmark, is used as a case study. It is found that the SUSTAIN DSS model results provide a type of benchmark for connecting to the essence of sustainable development as well as to integrate sustainability more explicitly into the planning and assessment practice....

  2. A decision support model to determine the critical success factors of asset management services

    Directory of Open Access Journals (Sweden)

    Jooste, Johannes Lodewyk

    2015-05-01

    Full Text Available Business-to-business services relating to physical asset management play an increasingly important role in industry. This is in the context of the current pressures that organisations experience in realising optimal value from their assets. Complying with asset management standards such as ISO 55000 contributes towards the importance of these services. This paper summarises the findings from a study identifying the critical success factors for asset management services, and presents a decision support model that provides the asset management community with access to these factors for decision-making and for improving asset management services.

  3. Experiences Supporting the Lunar Reconnaissance Orbiter Camera: the Devops Model

    Science.gov (United States)

    Licht, A.; Estes, N. M.; Bowman-Cisnesros, E.; Hanger, C. D.

    2013-12-01

    Introduction: The Lunar Reconnaissance Orbiter Camera (LROC) Science Operations Center (SOC) is responsible for instrument targeting, product processing, and archiving [1]. The LROC SOC maintains over 1,000,000 observations with over 300 TB of released data. Processing challenges compound with the acquisition of over 400 Gbits of observations daily creating the need for a robust, efficient, and reliable suite of specialized software. Development Environment: The LROC SOC's software development methodology has evolved over time. Today, the development team operates in close cooperation with the systems administration team in a model known in the IT industry as DevOps. The DevOps model enables a highly productive development environment that facilitates accomplishment of key goals within tight schedules[2]. The LROC SOC DevOps model incorporates industry best practices including prototyping, continuous integration, unit testing, code coverage analysis, version control, and utilizing existing open source software. Scientists and researchers at LROC often prototype algorithms and scripts in a high-level language such as MATLAB or IDL. After the prototype is functionally complete the solution is implemented as production ready software by the developers. Following this process ensures that all controls and requirements set by the LROC SOC DevOps team are met. The LROC SOC also strives to enhance the efficiency of the operations staff by way of weekly presentations and informal mentoring. Many small scripting tasks are assigned to the cognizant operations personnel (end users), allowing for the DevOps team to focus on more complex and mission critical tasks. In addition to leveraging open source software the LROC SOC has also contributed to the open source community by releasing Lunaserv [3]. Findings: The DevOps software model very efficiently provides smooth software releases and maintains team momentum. Scientists prototyping their work has proven to be very efficient

  4. Dynamic modeling of heat exchanger tube-to-support interaction

    Energy Technology Data Exchange (ETDEWEB)

    Azizian, R.; Mureithi, N.W.; Sawadog, T.P.; Pettigrew, M.J. [Ecole Polytechnique, Dept. of Mechanical Engineering, BWC/AECL/NSERC Chair of Fluid-Structure Interaction, Montreal, Quebec (Canada)

    2009-07-01

    Tube arrays in steam generators and heat exchangers operating in two-phase cross-flow are subjected sometimes to strong vibration due mainly to turbulence buffeting and fluidelastic forces. This can lead to tube damage by fatigue or fretting wear. A computer implementation of a fluidelastic instability model is proposed to determine with improved accuracy the fluidelastic forces and hence the critical instability flow velocity. Usually the fluidelastic instability is 'predicted', using the Connors relation with K=3. While the value of K can be determined experimentally to get an accurate prediction of the instability, the Connors relation does not allow good estimation of the fluid forces. Consequently the RMS value of the magnitude of vibration of the tube bundle, necessary to evaluate the work rate and the tube wear is only poorly estimated. The fluidelastic instability analysis presented here is based on the quasi-steady model, originally developed for single phase flow. The fluid forces are expressed in terms of the quasi-static drag and lift force coefficients and their derivatives which are determined experimentally. The forces also depend on the tube displacement and velocity. In the computer code ABAQUS, the fluid forces are provided in the user subroutines VDLOAD or VUEL. A typical simulation of the vibration of a single flexible tube within an array in two phase cross-flow is done in ABAQUS and the results are compared with the experimental measurements for a tube with similar physical properties. For a cantilever tube, in two phase cross-flow of void fraction 60 percent, the numerical critical flow velocity was 2.0 m/s compared to 1.8 m/s obtained experimentally. The relative error was 5 percent compared to 26.6 percent for the Connors relation with K=3. The simulation of the vibration of a typical tube in a steam generator is also presented. The numerical results show good agreement with experimental measurements. (author)

  5. Lunar Portable Life Support System Heat Rejection Study

    Science.gov (United States)

    Conger, Bruce; Sompayrac,Robert G.; Trevino, Luis A.; Bue, Grant C.

    2009-01-01

    Performing extravehicular activity (EVA) at various locations of the lunar surface presents thermal challenges that exceed those experienced in space flight to date. The lunar Portable Life Support System (PLSS) cooling unit must maintain thermal conditions within the space suit and reject heat loads generated by the crewmember and the PLSS equipment. The amount of cooling required varies based on the lunar location and terrain due to the heat transferred between the suit and its surroundings. A study has been completed which investigated the resources required to provide cooling under various lunar conditions, assuming three different thermal technology categories: 1. Spacesuit Water Membrane Evaporator (SWME) 2. Subcooled Phase Change Material (SPCM) 3. Radiators with and without heat pumps Results from the study are presented that show mass and power impacts on the cooling system as a function of the location and terrain on the lunar surface. Resources (cooling equipment mass and consumables) are greater at the equator and inside sunlit craters due to the additional heat loads on the cooling system. While radiator and SPCM technologies require minimal consumables, they come with carry-weight penalties and have limitations. A wider investigation is recommended to determine if these penalties and limitations are offset by the savings in consumables.

  6. Cedar Studio: an IDE supporting adaptive model-driven user interfaces for enterprise applications

    OpenAIRE

    Akiki, Pierre; Bandara, Arosha; Yu, Yijun

    2013-01-01

    Support tools are necessary for the adoption of model-driven engineering of adaptive user interfaces (UI). Enterprise applications in particular, require a tool that could be used by developers as well as I.T. personnel during all the development and post-development phases. An IDE that supports adaptive model-driven enterprise UIs could further promote the adoption of this approach. This paper describes Cedar Studio, our IDE for building adaptive model-driven UIs based on the CEDAR reference...

  7. Suicide prevention by online support groups: an action theory-based model of emotional first aid.

    Science.gov (United States)

    Gilat, Itzhak; Shahar, Golan

    2009-01-01

    In the last two decades, online support groups have become a valuable source of help for individuals in suicidal crisis. Their attractiveness is attributed to features that enhance help-seeking and self-disclosure such as availability, anonymity, and use of written communication. However, online support groups also suffer from limitations and potential risks as agents of suicide prevention. The Israeli Association for Emotional First Aid (ERAN) has developed a practical model that seeks to maximize the benefits and minimize the risks of online suicide prevention. The model applies the Action Theory concepts whereby individuals shape their own environment. The present paper presents the model, which is based on an online support group combined with personal chat and a telephonic help line. The online support group is moderated by paraprofessionals who function as both process regulators and support providers. The principles and practice of the model are described, the theoretical rationale is presented, and directions for future research are suggested.

  8. A Study on Simulation of Aircraft Maintenance and Support System

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Maintenance and support are basic elements to realize the effectiveness of aircraft. For basic analysis of the characteristics of an aircraft maintenance and support system, a simulation method is presented in this paper, and the structure and realization ofthe simulation system is discussed.

  9. Peer Collaboration: A Model to Support Counsellor Self-Care

    Science.gov (United States)

    Barlow, Constance A.; Phelan, Anne M.

    2007-01-01

    In the context of a larger case study on how continuous learning in the workplace could be achieved through the implementation of peer collaboration, the process of how counsellors engaged in self-care within a large health care organization became clearer. This article is based on data derived from a qualitative analysis of nine transcribed…

  10. Higher plant modelling for life support applications: first results of a simple mechanistic model

    Science.gov (United States)

    Hezard, Pauline; Dussap, Claude-Gilles; Sasidharan L, Swathy

    2012-07-01

    In the case of closed ecological life support systems, the air and water regeneration and food production are performed using microorganisms and higher plants. Wheat, rice, soybean, lettuce, tomato or other types of eatable annual plants produce fresh food while recycling CO2 into breathable oxygen. Additionally, they evaporate a large quantity of water, which can be condensed and used as potable water. This shows that recycling functions of air revitalization and food production are completely linked. Consequently, the control of a growth chamber for higher plant production has to be performed with efficient mechanistic models, in order to ensure a realistic prediction of plant behaviour, water and gas recycling whatever the environmental conditions. Purely mechanistic models of plant production in controlled environments are not available yet. This is the reason why new models must be developed and validated. This work concerns the design and test of a simplified version of a mathematical model coupling plant architecture and mass balance purposes in order to compare its results with available data of lettuce grown in closed and controlled chambers. The carbon exchange rate, water absorption and evaporation rate, biomass fresh weight as well as leaf surface are modelled and compared with available data. The model consists of four modules. The first one evaluates plant architecture, like total leaf surface, leaf area index and stem length data. The second one calculates the rate of matter and energy exchange depending on architectural and environmental data: light absorption in the canopy, CO2 uptake or release, water uptake and evapotranspiration. The third module evaluates which of the previous rates is limiting overall biomass growth; and the last one calculates biomass growth rate depending on matter exchange rates, using a global stoichiometric equation. All these rates are a set of differential equations, which are integrated with time in order to provide

  11. Impacts of the IBM Cell Processor to Support Climate Models

    Science.gov (United States)

    Zhou, Shujia; Duffy, Daniel; Clune, Tom; Suarez, Max; Williams, Samuel; Halem, Milt

    2008-01-01

    NASA is interested in the performance and cost benefits for adapting its applications to the IBM Cell processor. However, its 256KB local memory per SPE and the new communication mechanism, make it very challenging to port an application. We selected the solar radiation component of the NASA GEOS-5 climate model, which: (1) is representative of column physics (approximately 50% computational time), (2) has a high computational load relative to transferring data from and to main memory, (3) performs independent calculations across multiple columns. We converted the baseline code (single-precision, Fortran) to C and ported it with manually SIMDizing 4 independent columns and found that a Cell with 8 SPEs can process 2274 columns per second. Compared with the baseline results, the Cell is approximately 5.2X, approximately 8.2X, approximately 15.1X faster than a core on Intel Woodcrest, Dempsey, and Itanium2, respectively. We believe this dramatic performance improvement makes a hybrid cluster with Cell and traditional nodes competitive.

  12. Ability in daily activities after early supported discharge models of stroke rehabilitation

    Science.gov (United States)

    Taule, Tina; Strand, Liv Inger; Assmus, Jörg; Skouen, Jan Sture

    2015-01-01

    Abstract More knowledge is needed about how different rehabilitation models in the municipality influence stroke survivors’ ability in activities of daily living (ADL). Objectives: To compare three models of outpatient rehabilitation; early supported discharge (ESD) in a day unit, ESD at home and traditional treatment in the municipality (control group), regarding change in ADL ability during the first three months after stroke. Methods: A group comparison study was designed within a randomized controlled trial. Included participants were tested with the Assessment of Motor and Process Skills (AMPS) at baseline and discharged directly home. Primary and secondary outcomes were the AMPS and the modified Rankin Scale (mRS). Results and conclusions: Included were 154 participants (57% men, median age 73 years), and 103 participants completed the study. There were no significant group differences in pre–post changed ADL ability measured by the AMPS. To find the best rehabilitation model to improve the quality of stroke survivors’ motor and process skills needs further research. Patients participating in the ESD rehabilitation models were, compared with traditional treatment, significantly associated with improved ADL ability measured by the mRS when controlling for confounding factors, indicating that patients with social needs and physical impairment after stroke may benefit from ESD rehabilitation models. PMID:26005768

  13. Ability in daily activities after early supported discharge models of stroke rehabilitation.

    Science.gov (United States)

    Taule, Tina; Strand, Liv Inger; Assmus, Jörg; Skouen, Jan Sture

    2015-01-01

    More knowledge is needed about how different rehabilitation models in the municipality influence stroke survivors' ability in activities of daily living (ADL). To compare three models of outpatient rehabilitation; early supported discharge (ESD) in a day unit, ESD at home and traditional treatment in the municipality (control group), regarding change in ADL ability during the first three months after stroke. A group comparison study was designed within a randomized controlled trial. Included participants were tested with the Assessment of Motor and Process Skills (AMPS) at baseline and discharged directly home. Primary and secondary outcomes were the AMPS and the modified Rankin Scale (mRS). Included were 154 participants (57% men, median age 73 years), and 103 participants completed the study. There were no significant group differences in pre-post changed ADL ability measured by the AMPS. To find the best rehabilitation model to improve the quality of stroke survivors' motor and process skills needs further research. Patients participating in the ESD rehabilitation models were, compared with traditional treatment, significantly associated with improved ADL ability measured by the mRS when controlling for confounding factors, indicating that patients with social needs and physical impairment after stroke may benefit from ESD rehabilitation models.

  14. Confirmatory factor analysis for the Eating Disorder Examination Questionnaire: Evidence supporting a three-factor model.

    Science.gov (United States)

    Barnes, Jennifer; Prescott, Tim; Muncer, Steven

    2012-12-01

    The purpose of this investigation was to compare the goodness-of-fit of a one factor model with the four factor model proposed by Fairburn (2008) and the three factor model proposed by Peterson and colleagues (2007) for the Eating Disorder Examination Questionnaire (EDE-Q 6.0) (Fairburn and Beglin, 1994). Using a cross-sectional design, the EDE-Q was completed by 569 adults recruited from universities and eating disorder charities in the UK. Confirmatory factor analysis (CFA) was carried out for both the student and non-student groups. CFA indicated that Peterson et al.'s (2007) three factor model was the best fit for both groups within the current data sample. Acceptable levels of internal reliability were observed and there was clear evidence for a hierarchical factor of eating disorder. The results of this study provide support for the three factor model of the EDE-Q suggested by Peterson and colleagues (2007) in that this model was appropriate for both the student and non-student sample populations. Copyright © 2012 Elsevier Ltd. All rights reserved.

  15. A Decision Support Systems Using A Combined Dynamic Model For Integrated Watershed Management

    Science.gov (United States)

    Kudo, E.; Ostrowski, M.

    In this context A Decision Support System (DSS) is presented using a combined dy- namic model for Integrated Watershed Management (IWM) in a small urbanized basin in Japan. In order to improve today's often unsustainable watershed management, the causes of water problems, which interact with each other, must be identified and adequate actions must be chosen to solve the problems. To achieve the ultimate goal of sustain- able development (SD) for water it is essential to develop and apply generic DSSs. A DSS is frequently defined as a combination of a management information system, a model base and an evaluation / assessment module. The EU Water Framework Di- rectives recently established have a narrow time schedule requiring fast action into this direction, which does hardly allow to develop completely new tolls. Thus we are trying to combine different existing dynamic models that incorporate an urban man- agement model, a water quality analysis model, a groundwater analysis model and a water supply model including geographical information system data. With this com- bined model, the most appropriate and sustainable water management plan in an urban area will be developed while considering land use, ground water level, allocation of drainage system, sewerage, water supply works, water quality, and quantity. Because of sharing input data, using this combined model requires less data than using sev- eral separate models. The DSS can also be used to determine the optimum location of gages and monitoring sites. As a case study, the research will deal with the Taguri-river basin in Japan. This basin is located near Tokyo. Although the area in this basin has about 8 km2 only, there are densely build-up areas, paddy fields, and non-developed areas. The river is polluted due to wastewater from point resources: households, and non-point resources: roads and fields, etc. Overpumping of aquifers results in sinking groundwater tables and land subsidence. Moreover, a decrease

  16. Different paths to consensus? The impact of need for closure on model-supported group conflict management

    NARCIS (Netherlands)

    Franco, L.; Rouwette, E.A.J.A.; Korzilius, H.P.L.M.

    2016-01-01

    Empirical evidence on how cognitive factors impact the effectiveness of model-supported group decision making is lacking. This study reports on an experiment on the effects of need for closure, defined as a desire for definite knowledge on some issue and the eschewal of ambiguity. The study was cond

  17. Proposing a Continuous Professional Development Model to Support and Enhance Professional Learning of Teachers in Special Schools in South Africa

    Science.gov (United States)

    Kempen, M.; Steyn, G. M.

    2016-01-01

    A collaborative continuous professional (CPD) model was implemented and evaluated in six special schools in Gauteng, South Africa in order to support teachers in their professional capacity. The study which reports on a two year study aimed to establish the value of the CPD programme on teachers' learning, students' outcomes and whole school…

  18. Study of Alginate-Supported Ionic Liquid and Pd Catalysts

    Directory of Open Access Journals (Sweden)

    Eric Guibal

    2012-01-01

    Full Text Available New catalytic materials, based on palladium immobilized in ionic liquid supported on alginate, were elaborated. Alginate was associated with gelatin for the immobilization of ionic liquids (ILs and the binding of palladium. These catalytic materials were designed in the form of highly porous monoliths (HPMs, in order to be used in a column reactor. The catalytic materials were tested for the hydrogenation of 4-nitroaniline (4-NA in the presence of formic acid as hydrogen donor. The different parameters for the elaboration of the catalytic materials were studied and their impact analyzed in terms of microstructures, palladium sorption properties and catalytic performances. The characteristics of the biopolymer (proportion of β-D-mannuronic acid (M and α-L-guluronic acid (G in the biopolymer defined by the M/G ratio, the concentration of the porogen agent, and the type of coagulating agent significantly influenced catalytic performances. The freezing temperature had a significant impact on structural properties, but hardly affected the catalytic rate. Cellulose fibers were incorporated as mechanical strengthener into the catalytic materials, and allowed to enhance mechanical properties and catalytic efficiency but required increasing the amount of hydrogen donor for catalysis.

  19. Controlled environment life support system: Growth studies with potatoes

    Science.gov (United States)

    Tibbitts, T. W.; Wheeler, R. M.

    1986-01-01

    Results of experiments conducted to maximize the productivity of potatoes grown under controlled environmental conditions are discussed. A variety of parameters is examined which affect potato growth, specifically, photoperiod, light intensity, temperature, nitrogen nutrition, carbon dioxide concentration and culture techniques. These experiments were conducted using five different cultivars, Russet Burbank, Norchip, Superior, Kennebec and Norland. To achieve high productivity, three specific objectives were explored: (1) to develop effective cultural procedures, (2) to determine the most effective photoperiod and (3) to develop a mist culture system. It is felt that the productivity obtained in this study is below the maximum that can be obtained. High irradiance levels coupled with tuber-promoting conditions such as cooler temperatures, increased CO2 levels and lowered nitrogen concentrations should allow increases in tuber production. Tuberization appears to be accelerated by short daylengths although final yields are not increased. Mist culture techniques have not yet produced fully developed tubers. The use of supporting media and alteration of the nitrogen content of the mist solution are being explored as a way to allow tubers to develop to maturity.

  20. Support for Programming Models in Network-on-Chip-based Many-core Systems

    DEFF Research Database (Denmark)

    Rasmussen, Morten Sleth

    and scalability in an image processing application with the aim of providing insight into parallel programming issues. The second part proposes and presents the tile-based Clupea many-core architecture, which has the objective of providing configurable support for programming models to allow different programming......This thesis addresses aspects of support for programming models in Network-on- Chip-based many-core architectures. The main focus is to consider architectural support for a plethora of programming models in a single system. The thesis has three main parts. The first part considers parallelization...

  1. Learner Open Modeling in Adaptive Mobile Learning System for Supporting Student to Learn English

    Directory of Open Access Journals (Sweden)

    Van Cong Pham

    2011-10-01

    Full Text Available This paper represents a personalized context-aware mobile learning architecture for supporting student to learn English as foreign language in order to prepare for TOEFL test. We consider how to apply open learner modeling techniques to adapt contents for different learners based on context, which includes location, amount of time to learn, the manner as well as learner's knowledge in learning progress. Through negotiation with system, the editable learner model will be updated to support adaptive engine to select adaptive contents meeting learner's demands. Empirical testing results for students who used application prototype indicate that interaction user modeling is helpful in supporting learner to learn adaptive materials.

  2. Study of supported platinum catalysts by anomalous scattering

    Energy Technology Data Exchange (ETDEWEB)

    Georgopoulos, P.; Cohen, J.B.

    1985-01-01

    Platinum metal catalysts supported on silica gel and alumina were examined by wide-angle anomalous x-ray scattering at the Cornell High Energy Synchrotron Source. Complete removal of the support background features is achieved by this method, eliminating errors due to inaccurate background estimation. Platinum diffraction patterns from very-high-percentage metal-exposed catalysts were obtained for the first time, as well as from platinum supported on alumina. This technique is suitable for examining catalysts under working conditions and is superior to EXAFS for determinations of particle morphology and size distribution. 10 references, 8 figures.

  3. Hydroeconomic modeling to support integrated water resources management in China

    DEFF Research Database (Denmark)

    Davidsen, Claus

    of the growing demand for water to irrigation, industrial and domestic uses. As a response, the Chinese authorities have launched the 2011 No. 1 Central Policy Document, which set targets related to water scarcity and water quality and marks the first step towards sustainable management of the Chinese water...... resources. In this context, the PhD study focused on development of approaches to inform integrated water resources management to cope with multiple and coupled challenges faced in China. The proposed method is to formulate river water management as a joint hydroeconomic optimization problem that minimizes...... basin-wide costs of water supply and water curtailment. Water users are characterized by water demand and economic value, turning the complex water management problem into a single objective cost minimization problem. The physical system and management scenarios are represented as constraints...

  4. Gossip Management at Universities Using Big Data Warehouse Model Integrated with a Decision Support System

    Directory of Open Access Journals (Sweden)

    Pelin Vardarlier

    2016-01-01

    Full Text Available Big Data has recently been used for many purposes like medicine, marketing and sports. It has helped improve management decisions. However, for almost each case a unique data warehouse should be built to benefit from the merits of data mining and Big Data. Hence, each time we start from scratch to form and build a Big Data Warehouse. In this study, we propose a Big Data Warehouse and a model for universities to be used for information management, to be more specific gossip management. The overall model is a decision support system that may help university administraitons when they are making decisions and also provide them with information or gossips being circulated among students and staff. In the model, unsupervised machine learning algorithms have been employed. A prototype of the proposed system has also been presented in the study. User generated data has been collected from students in order to learn gossips and students’ problems related to school, classes, staff and instructors. The findings and results of the pilot study suggest that social media messages among students may give important clues for the happenings at school and this information may be used for management purposes.The model may be developed and implemented by not only universities but also some other organisations.

  5. Gossip Management at Universities Using Big Data Warehouse Model Integrated with a Decision Support System

    Directory of Open Access Journals (Sweden)

    Pelin Vardarlier

    2016-01-01

    Full Text Available Big Data has recently been used for many purposes like medicine, marketing and sports. It has helped improve management decisions. However, for almost each case a unique data warehouse should be built to benefit from the merits of data mining and Big Data. Hence, each time we start from scratch to form and build a Big Data Warehouse. In this study, we propose a Big Data Warehouse and a model for universities to be used for information management, to be more specific gossip management. The overall model is a decision support system that may help university administraitons when they are making decisions and also provide them with information or gossips being circulated among students and staff. In the model, unsupervised machine learning algorithms have been employed. A prototype of the proposed system has also been presented in the study. User generated data has been collected from students in order to learn gossips and students’ problems related to school, classes, staff and instructors. The findings and results of the pilot study suggest that social media messages among students may give important clues for the happenings at school and this information may be used for management purposes.The model may be developed and implemented by not only universities but also some other organisations.

  6. Applications of GIS, Advanced Sensors and Habitat Modeling in Support of Desert Tortoise Line Distance, Sampling and Translocation Studies Related to the Proposed Expansion of the Ft. Irwin NTC

    Science.gov (United States)

    2008-09-25

    spatially enabled decision support systems ( SDSS ). We developed an SDSS SharePoint site for organizing project materials as well as to facilitate...collaboration with our research partners. We initiated a focused literature review process on SDSS methodologies and tools, which produced an internal...the field of SDSS , and our initial version of this has been stored on the SDSS SharePoint site. The vocabulary is the basis for 13 developing an

  7. Chemical Preparation of Supported Bimetallic Catalysts. Gold-Based Bimetallic, a Case Study

    OpenAIRE

    Louis, Catherine

    2016-01-01

    International audience; This review focuses on the chemical methods used to prepare supported bimetallic heterogeneous catalysts, i.e., bimetallic nanoparticles deposited on a support. The review is limited to the preparation of gold-based bimetallic catalysts and moreover to bimetallic nanoparticles supported on powder inorganic supports, i.e., on the surface or in the porosity, and not on model supports such as single crystals.

  8. Flawed Execution: A Case Study on Operational Contract Support

    Science.gov (United States)

    2016-06-01

    base camp services, personnel recovery, medical support and evacuation, postal services, mortuary affairs, post/base exchange privileges and access to...people or government that supports freedom, an expanding economy, and the basic rule of law. Overall, the joint force command should serve in a...a predictor of success due to their unique ability to cut across organizational boundaries. A well-timed email or phone call from the right senior

  9. Promoting and Supporting Scientific Argumentation in the Classroom: The Evaluate-Alternatives Instructional Model

    Science.gov (United States)

    Sampson, Victor; Grooms, Jonathon

    2009-01-01

    This article describes an instructional model that science teachers can use to promote and support student engagement in scientific argumentation. This model is called the evaluate-alternatives instructional model and it is grounded in current research on argumentation in science education (e.g., Berland and Reiser 2009; McNeill and Krajcik 2006;…

  10. Model requirements for decision support under uncertainty in data scarce dynamic deltas

    NARCIS (Netherlands)

    Haasnoot, Marjolijn; van Deursen, W.P.A.; Kwakkel, J. H.; Middelkoop, H.

    2016-01-01

    There is a long tradition of model-based decision support in water management. The consideration of deep uncertainty, however, changes the requirements imposed on models.. In the face of deep uncertainty, models are used to explore many uncertainties and the decision space across multiple outcomes o

  11. An Investigation of Feature Models for Music Genre Classification using the Support Vector Classifier

    DEFF Research Database (Denmark)

    Meng, Anders; Shawe-Taylor, John

    2005-01-01

    autoregressive model for modelling short time features. Furthermore, it was investigated how these models can be integrated over a segment of short time features into a kernel such that a support vector machine can be applied. Two kernels with this property were considered, the convolution kernel and product...

  12. Improving ingestion dose modelling for the ARGOS and RODOS decision support systems: A Nordic Initiative

    DEFF Research Database (Denmark)

    Andersson, Kasper Grann; Nielsen, Sven Poul; Thørring, Håvard

    2011-01-01

    A Nordic work group under the NKS-B activity PARDNOR has revised the input parameters in the ECOSYS model that is incorporated for ingestion dose modelling in the ARGOS and RODOS decision support systems. The new parameterisation takes into account recent measurement data, and targets the model...

  13. A suite of models to support the quantitative assessment of spread in pest risk analysis

    NARCIS (Netherlands)

    Robinet, C.; Kehlenbeck, H.; Werf, van der W.

    2012-01-01

    In the frame of the EU project PRATIQUE (KBBE-2007-212459 Enhancements of pest risk analysis techniques) a suite of models was developed to support the quantitative assessment of spread in pest risk analysis. This dataset contains the model codes (R language) for the four models in the suite. Three

  14. Comparing artificial neural networks, general linear models and support vector machines in building predictive models for small interfering RNAs.

    Directory of Open Access Journals (Sweden)

    Kyle A McQuisten

    Full Text Available BACKGROUND: Exogenous short interfering RNAs (siRNAs induce a gene knockdown effect in cells by interacting with naturally occurring RNA processing machinery. However not all siRNAs induce this effect equally. Several heterogeneous kinds of machine learning techniques and feature sets have been applied to modeling siRNAs and their abilities to induce knockdown. There is some growing agreement to which techniques produce maximally predictive models and yet there is little consensus for methods to compare among predictive models. Also, there are few comparative studies that address what the effect of choosing learning technique, feature set or cross validation approach has on finding and discriminating among predictive models. PRINCIPAL FINDINGS: Three learning techniques were used to develop predictive models for effective siRNA sequences including Artificial Neural Networks (ANNs, General Linear Models (GLMs and Support Vector Machines (SVMs. Five feature mapping methods were also used to generate models of siRNA activities. The 2 factors of learning technique and feature mapping were evaluated by complete 3x5 factorial ANOVA. Overall, both learning techniques and feature mapping contributed significantly to the observed variance in predictive models, but to differing degrees for precision and accuracy as well as across different kinds and levels of model cross-validation. CONCLUSIONS: The methods presented here provide a robust statistical framework to compare among models developed under distinct learning techniques and feature sets for siRNAs. Further comparisons among current or future modeling approaches should apply these or other suitable statistically equivalent methods to critically evaluate the performance of proposed models. ANN and GLM techniques tend to be more sensitive to the inclusion of noisy features, but the SVM technique is more robust under large numbers of features for measures of model precision and accuracy. Features

  15. A THEORETICAL MODEL OF SOCIO-PSYCHOLOGICAL SUPPORT WORK PROCESSES FOR MANAGEMENT OF PRODUCTION TEAM

    Directory of Open Access Journals (Sweden)

    Tatyana Gennadevna Pronyushkina

    2015-10-01

    Full Text Available This article discusses the management of production team, in particular the developed theoretical model of socio-psychological support work processes for management of production team. The author of the research are formulated the purpose and objectives of social-psychological work on management of the production team. Developed in the study a theoretical model aimed at determining the conditions and the identification of features of effective management of the enterprise taking into account the socio-psychological characteristics of its staff. Tasks include: definition of the main characteristics of the production team and their severity, the analysis of these characteristics and identifying opportunities for their transformation, development of recommendations for management of social-psychological work on effects on the characteristics of the collective enterprise.Practical study of the activities of a number of businesses have shown the need to improve socio-psychological support of management processes production team: introducing a social and psychological planning team and develop the practice of sociological research on the state of the team, to ensure the smoothing of relations between workers and management through periodic meetings, creations of conditions for feedback, maintaining healthy competition among team members.

  16. Modeling Soil Moisture in Support of the Revegetation of Military Lands in Arid Regions.

    Science.gov (United States)

    Caldwell, T. G.; McDonald, E. V.; Young, M. H.

    2003-12-01

    The National Training Center (NTC), the Army's primary mechanized maneuver training facility, covers approximately 2600 km2 within the Mojave Desert in southern California, and is the subject of ongoing studies to support the sustainability of military lands in desert environments. Revegetation of these lands by the Integrated Training Areas Management (ITAM) Program requires the identification of optimum growing conditions to reestablish desert vegetation from seed and seedling, especially with regard to the timing and abundance of plant-available water. Water content, soil water potential, and soil temperature were continuously monitored and used to calibrate the Simultaneous Heat And Water (SHAW) model at 3 re-seeded sites. Modeled irrigation scenarios were used to further evaluate the most effective volume, frequency, and timing of irrigation required to maximize revegetation success and minimize water use. Surface treatments including straw mulch, gravel mulch, soil tackifier and plastic sheet

  17. EHRs Connect Research and Practice: Where Predictive Modeling, Artificial Intelligence, and Clinical Decision Support Intersect

    CERN Document Server

    Bennett, Casey; Selove, Rebecca

    2012-01-01

    Objectives: Electronic health records (EHRs) are only a first step in capturing and utilizing health-related data - the challenge is turning that data into useful information. Furthermore, EHRs are increasingly likely to include data relating to patient outcomes, functionality such as clinical decision support, and genetic information as well, and, as such, can be seen as repositories of increasingly valuable information about patients' health conditions and responses to treatment over time. Methods: We describe a case study of 423 patients treated by Centerstone within Tennessee and Indiana in which we utilized electronic health record data to generate predictive algorithms of individual patient treatment response. Multiple models were constructed using predictor variables derived from clinical, financial and geographic data. Results: For the 423 patients, 101 deteriorated, 223 improved and in 99 there was no change in clinical condition. Based on modeling of various clinical indicators at baseline, the high...

  18. Modeling Decision Support and Uncertainty using @RISK: The COSIMA-ROAD Model

    DEFF Research Database (Denmark)

    Salling, Kim Bang; Leleur, Steen

    This paper concerns a newly developed software model called COSIMA-ROAD for project evaluation in the Danish road sector. COSIMA-ROAD is developed as a combined effort in co-operation between the Danish Road Directorate and the Technical University of Denmark. The applied case study is developed...

  19. Harnessing ecosystem models and multi-criteria decision analysis for the support of forest management.

    Science.gov (United States)

    Wolfslehner, Bernhard; Seidl, Rupert

    2010-12-01

    The decision-making environment in forest management (FM) has changed drastically during the last decades. Forest management planning is facing increasing complexity due to a widening portfolio of forest goods and services, a societal demand for a rational, transparent decision process and rising uncertainties concerning future environmental conditions (e.g., climate change). Methodological responses to these challenges include an intensified use of ecosystem models to provide an enriched, quantitative information base for FM planning. Furthermore, multi-criteria methods are increasingly used to amalgamate information, preferences, expert judgments and value expressions, in support of the participatory and communicative dimensions of modern forestry. Although the potential of combining these two approaches has been demonstrated in a number of studies, methodological aspects in interfacing forest ecosystem models (FEM) and multi-criteria decision analysis (MCDA) are scarcely addressed explicitly. In this contribution we review the state of the art in FEM and MCDA in the context of FM planning and highlight some of the crucial issues when combining ecosystem and preference modeling. We discuss issues and requirements in selecting approaches suitable for supporting FM planning problems from the growing body of FEM and MCDA concepts. We furthermore identify two major challenges in a harmonized application of FEM-MCDA: (i) the design and implementation of an indicator-based analysis framework capturing ecological and social aspects and their interactions relevant for the decision process, and (ii) holistic information management that supports consistent use of different information sources, provides meta-information as well as information on uncertainties throughout the planning process.

  20. Resistance and support to electronic government, building a model of innovation

    NARCIS (Netherlands)

    Ebbers, W.E.; Dijk, van J.A.G.M.

    2007-01-01

    In several countries forces that resist e-government innovations apparently override those that support them. A first step is taken in order to identify organizational processes of resistance and support to e-government innovations. A multi-disciplinary and non-linear innovation model is proposed th