WorldWideScience

Sample records for model supports comprehensive

  1. A short mnemonic to support the comprehensive geriatric assessment model.

    Science.gov (United States)

    Han, Brenda; Grant, Cristin

    2016-10-06

    With an increasing number of older people using emergency services, researchers have raised concerns about the quality of care in an environment that is not designed to address older patients' specific needs and conditions. The comprehensive geriatric assessment (CGA) model was developed to address these issues, and to optimise healthcare delivery to older adults. This article introduces a complementary mnemonic, FRAIL, that refers to important elements of health information to consider before initiating care for older patients - falls/functional decline, reactions, altered mental status, illnesses, and living situation. It is not intended to replace the CGA, but can help to quickly identify high-risk older patients who warrant a more in-depth clinical assessment with CGA.

  2. Comprehensive Modelling and Simulation System for Decision Support in the Field of Radiation Potection

    Czech Academy of Sciences Publication Activity Database

    Pecha, Petr; Hofman, Radek

    -, č. 81 (2010), s. 17-18 ISSN 0926-4981 R&D Projects: GA MŠk(CZ) 1M0572; GA ČR(CZ) GA102/07/1596 Institutional research plan: CEZ:AV0Z10750506 Keywords : decision support * modelling * radiation protection * environment al impact assessment * probability safety assessment Subject RIV: JF - Nuclear Energetics http://library.utia.cas.cz/separaty/2010/AS/pecha-comprehensive modelling and simulation system for decision support in the field of radiation potection.pdf

  3. Memory mechanisms supporting syntactic comprehension.

    Science.gov (United States)

    Caplan, David; Waters, Gloria

    2013-04-01

    Efforts to characterize the memory system that supports sentence comprehension have historically drawn extensively on short-term memory as a source of mechanisms that might apply to sentences. The focus of these efforts has changed significantly in the past decade. As a result of changes in models of short-term working memory (ST-WM) and developments in models of sentence comprehension, the effort to relate entire components of an ST-WM system, such as those in the model developed by Baddeley (Nature Reviews Neuroscience 4: 829-839, 2003) to sentence comprehension has largely been replaced by an effort to relate more specific mechanisms found in modern models of ST-WM to memory processes that support one aspect of sentence comprehension--the assignment of syntactic structure (parsing) and its use in determining sentence meaning (interpretation) during sentence comprehension. In this article, we present the historical background to recent studies of the memory mechanisms that support parsing and interpretation and review recent research into this relation. We argue that the results of this research do not converge on a set of mechanisms derived from ST-WM that apply to parsing and interpretation. We argue that the memory mechanisms supporting parsing and interpretation have features that characterize another memory system that has been postulated to account for skilled performance-long-term working memory. We propose a model of the relation of different aspects of parsing and interpretation to ST-WM and long-term working memory.

  4. A comprehensive CFD model of anode-supported solid oxide fuel cells

    International Nuclear Information System (INIS)

    Jeon, Dong Hyup

    2009-01-01

    The two-dimensional comprehensive CFD model of anode-supported SOFCs operating at intermediate temperature has been presented. This model provides transport phenomena of gas species with electrochemical characteristics and micro-structural properties, and predicts SOFC performance. The mathematical model solves conservation of electrons and ions, continuity equation, conservation of momentum, conservation of mass, and conservation of energy. A continuum micro-scale model based on statistical properties together with a mole-based conservation model was employed. CFD technique was used to solve the set of governing equations. The cell performance was decomposed with contributions of each overpotential and was presented at several operating temperatures with analysis of effective diffusivity. It was found that the contribution of potential gain due to temperature rising was considerably high. However it became non-significant at high operating temperature due to decreasing of effective diffusivity in AFL. These results showed that the performance and the distributions of current density, overpotentials, and mole fractions of gas species have a strong dependence upon temperature. From these results, it was concluded that the conservation of energy should be accommodated in comprehensive SOFC model. Also the useful information for the effect of parameters on cell performance and transport phenomena was provided

  5. 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

  6. Integration into Big Data: First Steps to Support Reuse of Comprehensive Toxicity Model Modules (SOT)

    Science.gov (United States)

    Data surrounding the needs of human disease and toxicity modeling are largely siloed limiting the ability to extend and reuse modules across knowledge domains. Using an infrastructure that supports integration across knowledge domains (animal toxicology, high-throughput screening...

  7. Atmospheric transport modelling related to radionuclide monitoring in support of the comprehensive nuclear-test-ban treaty verification

    International Nuclear Information System (INIS)

    Kalinowski, M.B.

    2001-01-01

    Global monitoring for relevant radionuclides in the atmosphere serves as part of the International Monitoring System to verify compliance with the Comprehensive Nuclear-Test-Ban-Treaty (CTBT). Atmospheric transport modelling can be applied to support these measurements and to get indications for possible source locations of detected relevant anthropogenic nuclides. This paper puts a focus on those issues that are of relevance to the International Data Centre (IDC). Possible methods of atmospheric transport modelling are outlined. The current tentative implementation at the IDC is described here. (orig.) [de

  8. Comprehensive modeling of monthly mean soil temperature using multivariate adaptive regression splines and support vector machine

    Science.gov (United States)

    Mehdizadeh, Saeid; Behmanesh, Javad; Khalili, Keivan

    2017-07-01

    Soil temperature (T s) and its thermal regime are the most important factors in plant growth, biological activities, and water movement in soil. Due to scarcity of the T s data, estimation of soil temperature is an important issue in different fields of sciences. The main objective of the present study is to investigate the accuracy of multivariate adaptive regression splines (MARS) and support vector machine (SVM) methods for estimating the T s. For this aim, the monthly mean data of the T s (at depths of 5, 10, 50, and 100 cm) and meteorological parameters of 30 synoptic stations in Iran were utilized. To develop the MARS and SVM models, various combinations of minimum, maximum, and mean air temperatures (T min, T max, T); actual and maximum possible sunshine duration; sunshine duration ratio (n, N, n/N); actual, net, and extraterrestrial solar radiation data (R s, R n, R a); precipitation (P); relative humidity (RH); wind speed at 2 m height (u 2); and water vapor pressure (Vp) were used as input variables. Three error statistics including root-mean-square-error (RMSE), mean absolute error (MAE), and determination coefficient (R 2) were used to check the performance of MARS and SVM models. The results indicated that the MARS was superior to the SVM at different depths. In the test and validation phases, the most accurate estimations for the MARS were obtained at the depth of 10 cm for T max, T min, T inputs (RMSE = 0.71 °C, MAE = 0.54 °C, and R 2 = 0.995) and for RH, V p, P, and u 2 inputs (RMSE = 0.80 °C, MAE = 0.61 °C, and R 2 = 0.996), respectively.

  9. Dopamine supports sentence comprehension in Parkinson's Disease.

    Science.gov (United States)

    Grossman, M; Glosser, G; Kalmanson, J; Morris, J; Stern, M B; Hurtig, H I

    2001-03-01

    To determine the role of dopamine in the executive resource component of sentence comprehension. We studied sentence-picture matching in 20 right-handed, non-demented, native English speakers with mild Parkinson's disease (PD) when 'on' and 'off' their levodopa, taking into account disease duration to control for endogenous dopamine metabolism. We also administered a verbal working memory measure that does not involve specific grammatical manipulations. PD patients 'off' levodopa demonstrated a significant discrepancy in their comprehension of grammatically complex sentences compared to grammatically simpler sentences that was not evident when PD patients were 'on' levodopa. An error analysis demonstrated that impaired comprehension of grammatically complex sentences when 'off' levodopa was associated with poorer performance on foils requiring working memory resources. Performance on an independent measure of verbal working memory correlated only with comprehension of grammatically complex sentences during levodopa supplementation, but working memory according to this measure did not differ during 'on' and 'off' states. Dopamine supports the executive resources contributing to sentence comprehension in PD.

  10. The Comprehensive Emergent Literacy Model

    Directory of Open Access Journals (Sweden)

    Leigh Rohde

    2015-03-01

    Full Text Available The early skills of Emergent Literacy include the knowledge and abilities related to the alphabet, phonological awareness, symbolic representation, and communication. However, existing models of emergent literacy focus on discrete skills and miss the perspective of the surrounding environment. Early literacy skills, including their relationship to one another, and the substantial impact of the setting and context, are critical in ensuring that children gain all of the preliminary skills and awareness they will need to become successful readers and writers. Research findings over the last few decades have led to a fuller understanding of all that emergent literacy includes, resulting in a need for a new, more comprehensive model. A new model, described in this article, strives to explain how emergent literacy can be viewed as an interactive process of skills and context rather than a linear series of individual components. Early literacy learning opportunities are more likely to happen when teachers have a solid knowledge base of emergent literacy and child development. Research has shown that preschool teachers with limited knowledge about literacy development are significantly less able to provide such experiences for children. Teachers will be better able to facilitate all of the components of emergent literacy if they have access to, and understanding of, a model that describes the components, their interactions, and the importance of environmental factors in supporting children.

  11. Comprehensive Aspectual UML Approach to Support AspectJ

    Directory of Open Access Journals (Sweden)

    Aws Magableh

    2014-01-01

    Full Text Available Unified Modeling Language is the most popular and widely used Object-Oriented modelling language in the IT industry. This study focuses on investigating the ability to expand UML to some extent to model crosscutting concerns (Aspects to support AspectJ. Through a comprehensive literature review, we identify and extensively examine all the available Aspect-Oriented UML modelling approaches and find that the existing Aspect-Oriented Design Modelling approaches using UML cannot be considered to provide a framework for a comprehensive Aspectual UML modelling approach and also that there is a lack of adequate Aspect-Oriented tool support. This study also proposes a set of Aspectual UML semantic rules and attempts to generate AspectJ pseudocode from UML diagrams. The proposed Aspectual UML modelling approach is formally evaluated using a focus group to test six hypotheses regarding performance; a “good design” criteria-based evaluation to assess the quality of the design; and an AspectJ-based evaluation as a reference measurement-based evaluation. The results of the focus group evaluation confirm all the hypotheses put forward regarding the proposed approach. The proposed approach provides a comprehensive set of Aspectual UML structural and behavioral diagrams, which are designed and implemented based on a comprehensive and detailed set of AspectJ programming constructs.

  12. Comprehensive Aspectual UML approach to support AspectJ.

    Science.gov (United States)

    Magableh, Aws; Shukur, Zarina; Ali, Noorazean Mohd

    2014-01-01

    Unified Modeling Language is the most popular and widely used Object-Oriented modelling language in the IT industry. This study focuses on investigating the ability to expand UML to some extent to model crosscutting concerns (Aspects) to support AspectJ. Through a comprehensive literature review, we identify and extensively examine all the available Aspect-Oriented UML modelling approaches and find that the existing Aspect-Oriented Design Modelling approaches using UML cannot be considered to provide a framework for a comprehensive Aspectual UML modelling approach and also that there is a lack of adequate Aspect-Oriented tool support. This study also proposes a set of Aspectual UML semantic rules and attempts to generate AspectJ pseudocode from UML diagrams. The proposed Aspectual UML modelling approach is formally evaluated using a focus group to test six hypotheses regarding performance; a "good design" criteria-based evaluation to assess the quality of the design; and an AspectJ-based evaluation as a reference measurement-based evaluation. The results of the focus group evaluation confirm all the hypotheses put forward regarding the proposed approach. The proposed approach provides a comprehensive set of Aspectual UML structural and behavioral diagrams, which are designed and implemented based on a comprehensive and detailed set of AspectJ programming constructs.

  13. Comprehensive Aspectual UML Approach to Support AspectJ

    Science.gov (United States)

    Magableh, Aws; Shukur, Zarina; Mohd. Ali, Noorazean

    2014-01-01

    Unified Modeling Language is the most popular and widely used Object-Oriented modelling language in the IT industry. This study focuses on investigating the ability to expand UML to some extent to model crosscutting concerns (Aspects) to support AspectJ. Through a comprehensive literature review, we identify and extensively examine all the available Aspect-Oriented UML modelling approaches and find that the existing Aspect-Oriented Design Modelling approaches using UML cannot be considered to provide a framework for a comprehensive Aspectual UML modelling approach and also that there is a lack of adequate Aspect-Oriented tool support. This study also proposes a set of Aspectual UML semantic rules and attempts to generate AspectJ pseudocode from UML diagrams. The proposed Aspectual UML modelling approach is formally evaluated using a focus group to test six hypotheses regarding performance; a “good design” criteria-based evaluation to assess the quality of the design; and an AspectJ-based evaluation as a reference measurement-based evaluation. The results of the focus group evaluation confirm all the hypotheses put forward regarding the proposed approach. The proposed approach provides a comprehensive set of Aspectual UML structural and behavioral diagrams, which are designed and implemented based on a comprehensive and detailed set of AspectJ programming constructs. PMID:25136656

  14. The SKI*HI Model: A Comprehensive Model for Identification, Language Facilitation, and Family Support for Hearing Handicapped Children Through Home Management, Ages Birth to Six. Third Edition.

    Science.gov (United States)

    Clark, Thomas C.; Watkins, Susan

    The SKI HI program, a home intervention model for hearing impaired infants and their families, is described. An overview of the program is provided, followed by separate sections on administrative, direct service, and support service topics (sample subtopics in parentheses): child identification and processing (statewide hearing screening model,…

  15. Comprehensive numerical modelling of tokamaks

    International Nuclear Information System (INIS)

    Cohen, R.H.; Cohen, B.I.; Dubois, P.F.

    1991-01-01

    We outline a plan for the development of a comprehensive numerical model of tokamaks. The model would consist of a suite of independent, communicating packages describing the various aspects of tokamak performance (core and edge transport coefficients and profiles, heating, fueling, magnetic configuration, etc.) as well as extensive diagnostics. These codes, which may run on different computers, would be flexibly linked by a user-friendly shell which would allow run-time specification of packages and generation of pre- and post-processing functions, including workstation-based visualization of output. One package in particular, the calculation of core transport coefficients via gyrokinetic particle simulation, will become practical on the scale required for comprehensive modelling only with the advent of teraFLOP computers. Incremental effort at LLNL would be focused on gyrokinetic simulation and development of the shell

  16. Dementia service centres in Austria: A comprehensive support and early detection model for persons with dementia and their caregivers - theoretical foundations and model description.

    Science.gov (United States)

    Auer, Stefanie R; Span, Edith; Reisberg, Barry

    2015-07-01

    Despite the highly developed social services in Austria, the County of Upper Austria, one of the nine counties of Austria had only very limited specialized services for persons with dementia and their caregivers in 2001. Support groups existed in which the desire for more specialized services was voiced. In response to this situation, funding was received to develop a new structure for early disease detection and long term support for both the person with dementia and their caregivers. This article describes the development of the model of the Dementia Service Centres (DSCs) and the successes and difficulties encountered in the process of implementing the model in six different rural regions of Upper Austria. The DSC was described in the First Austrian Dementia Report as one of the potential service models for the future. © The Author(s) 2013.

  17. Building Information Modeling Comprehensive Overview

    Directory of Open Access Journals (Sweden)

    Sergey Kalinichuk

    2015-07-01

    Full Text Available The article is addressed to provide a comprehensive review on recently accelerated development of the Information Technology within project market such as industrial, engineering, procurement and construction. Author’s aim is to cover the last decades of the growth of the Information and Communication Technology in construction industry in particular Building Information Modeling and testifies that the problem of a choice of the effective project realization method not only has not lost its urgency, but has also transformed into one of the major condition of the intensive technology development. All of it has created a great impulse on shortening the project duration and has led to the development of various schedule compression techniques what becomes a focus of modern construction.

  18. Study on supporting system for operator's comprehensive understanding

    International Nuclear Information System (INIS)

    Yoshikawa, Shinji

    1996-01-01

    Power Reactor and Nuclear Fuel Development Corp. has participated in the development of a system to support the process of operator's plant understanding by the use of information processing techniques such as artificial intelligence since 1994. Analysis and model formation of the process leading to operator's comprehensive understanding of plant (mental model) are undertaken attempting to determine the basic structure of the mental model available for the description of knowledge using the precedent survey and to observe how to utilize operator's own knowledge. After consideration of the way by which plant operators utilize their physical knowledges and the knowledges of physical observation in practice, a basic structure composed of 3 components a qualitative causal network, a hierarchical function model and 3 links joining the two was proposed for the mental model. A questionnaire survey on operator's statements was made and the contents were assigned in several categories for objective analysis. An unified form usable to make a data base was established. Further, we have a plan to develop the first proto-type system to promote operator's understanding by 1998. (M.N.)

  19. Training the Mind's Eye: "Brain Movies" Support Comprehension and Recall

    Science.gov (United States)

    Wilson, Donna

    2012-01-01

    Explicit instruction on the skill of creating mental imagery from text supports reading comprehension and recall. This article shares a strategy for teaching students how to process what they read by comparing mental imagery to "brain movies." It emphasizes choosing appropriate fiction and nonfiction texts to encourage readers to build the skill…

  20. Description of a comprehensive mathematical model

    DEFF Research Database (Denmark)

    Li, Xiyan; Yin, Chungen

    2017-01-01

    Biomass gasification is still a promising technology after over 30 years’ research and development and has success only in a few niche markets. In this paper, a comprehensive mathematical model for biomass particle gasification is developed within a generic particle framework, assuming the feed i...

  1. Comprehensive model of a hermetic reciprocating compressor

    Science.gov (United States)

    Yang, B.; Ziviani, D.; Groll, E. A.

    2017-08-01

    A comprehensive simulation model is presented to predict the performance of a hermetic reciprocating compressor and to reveal the underlying mechanisms when the compressor is running. The presented model is composed of sub-models simulating the in-cylinder compression process, piston ring/journal bearing frictional power loss, single phase induction motor and the overall compressor energy balance among different compressor components. The valve model, leakage through piston ring model and in-cylinder heat transfer model are also incorporated into the in-cylinder compression process model. A numerical algorithm solving the model is introduced. The predicted results of the compressor mass flow rate and input power consumption are compared to the published compressor map values. Future work will focus on detailed experimental validation of the model and parametric studies investigating the effects of structural parameters, including the stroke-to-bore ratio, on the compressor performance.

  2. The anterior temporal lobes support residual comprehension in Wernicke’s aphasia

    Science.gov (United States)

    Robson, Holly; Zahn, Roland; Keidel, James L.; Binney, Richard J.; Sage, Karen; Lambon Ralph, Matthew A.

    2014-01-01

    Wernicke’s aphasia occurs after a stroke to classical language comprehension regions in the left temporoparietal cortex. Consequently, auditory–verbal comprehension is significantly impaired in Wernicke’s aphasia but the capacity to comprehend visually presented materials (written words and pictures) is partially spared. This study used functional magnetic resonance imaging to investigate the neural basis of written word and picture semantic processing in Wernicke’s aphasia, with the wider aim of examining how the semantic system is altered after damage to the classical comprehension regions. Twelve participants with chronic Wernicke’s aphasia and 12 control participants performed semantic animate–inanimate judgements and a visual height judgement baseline task. Whole brain and region of interest analysis in Wernicke’s aphasia and control participants found that semantic judgements were underpinned by activation in the ventral and anterior temporal lobes bilaterally. The Wernicke’s aphasia group displayed an ‘over-activation’ in comparison with control participants, indicating that anterior temporal lobe regions become increasingly influential following reduction in posterior semantic resources. Semantic processing of written words in Wernicke’s aphasia was additionally supported by recruitment of the right anterior superior temporal lobe, a region previously associated with recovery from auditory-verbal comprehension impairments. Overall, the results provide support for models in which the anterior temporal lobes are crucial for multimodal semantic processing and that these regions may be accessed without support from classic posterior comprehension regions. PMID:24519979

  3. Comprehensive decision tree models in bioinformatics.

    Science.gov (United States)

    Stiglic, Gregor; Kocbek, Simon; Pernek, Igor; Kokol, Peter

    2012-01-01

    Classification is an important and widely used machine learning technique in bioinformatics. Researchers and other end-users of machine learning software often prefer to work with comprehensible models where knowledge extraction and explanation of reasoning behind the classification model are possible. This paper presents an extension to an existing machine learning environment and a study on visual tuning of decision tree classifiers. The motivation for this research comes from the need to build effective and easily interpretable decision tree models by so called one-button data mining approach where no parameter tuning is needed. To avoid bias in classification, no classification performance measure is used during the tuning of the model that is constrained exclusively by the dimensions of the produced decision tree. The proposed visual tuning of decision trees was evaluated on 40 datasets containing classical machine learning problems and 31 datasets from the field of bioinformatics. Although we did not expected significant differences in classification performance, the results demonstrate a significant increase of accuracy in less complex visually tuned decision trees. In contrast to classical machine learning benchmarking datasets, we observe higher accuracy gains in bioinformatics datasets. Additionally, a user study was carried out to confirm the assumption that the tree tuning times are significantly lower for the proposed method in comparison to manual tuning of the decision tree. The empirical results demonstrate that by building simple models constrained by predefined visual boundaries, one not only achieves good comprehensibility, but also very good classification performance that does not differ from usually more complex models built using default settings of the classical decision tree algorithm. In addition, our study demonstrates the suitability of visually tuned decision trees for datasets with binary class attributes and a high number of possibly

  4. Comprehensive decision tree models in bioinformatics.

    Directory of Open Access Journals (Sweden)

    Gregor Stiglic

    Full Text Available PURPOSE: Classification is an important and widely used machine learning technique in bioinformatics. Researchers and other end-users of machine learning software often prefer to work with comprehensible models where knowledge extraction and explanation of reasoning behind the classification model are possible. METHODS: This paper presents an extension to an existing machine learning environment and a study on visual tuning of decision tree classifiers. The motivation for this research comes from the need to build effective and easily interpretable decision tree models by so called one-button data mining approach where no parameter tuning is needed. To avoid bias in classification, no classification performance measure is used during the tuning of the model that is constrained exclusively by the dimensions of the produced decision tree. RESULTS: The proposed visual tuning of decision trees was evaluated on 40 datasets containing classical machine learning problems and 31 datasets from the field of bioinformatics. Although we did not expected significant differences in classification performance, the results demonstrate a significant increase of accuracy in less complex visually tuned decision trees. In contrast to classical machine learning benchmarking datasets, we observe higher accuracy gains in bioinformatics datasets. Additionally, a user study was carried out to confirm the assumption that the tree tuning times are significantly lower for the proposed method in comparison to manual tuning of the decision tree. CONCLUSIONS: The empirical results demonstrate that by building simple models constrained by predefined visual boundaries, one not only achieves good comprehensibility, but also very good classification performance that does not differ from usually more complex models built using default settings of the classical decision tree algorithm. In addition, our study demonstrates the suitability of visually tuned decision trees for datasets

  5. Using E-Readers and Internet Resources to Support Comprehension

    Science.gov (United States)

    Wright, Sandra; Fugett, April; Caputa, Francine

    2013-01-01

    The advancements of technology have led to the use of electronic reading systems for digital text. Research indicates similarities and differences in reading performance and comprehension in digital formats compared to paper formats. This study compared vocabulary understanding and reading comprehension scores from two reading sources (electronic…

  6. Does Linguistic Comprehension Support the Decoding Skills of Struggling Readers?

    Science.gov (United States)

    Blick, Michele; Nicholson, Tom; Chapman, James; Berman, Jeanette

    2017-01-01

    This study investigated the contribution of linguistic comprehension to the decoding skills of struggling readers. Participants were 36 children aged between eight and 12 years, all below average in decoding but differing in linguistic comprehension. The children read passages from the Neale Analysis of Reading Ability and their first 25 miscues…

  7. An Approach to Comprehensive and Sustainable Solar Wind Model Validation

    Science.gov (United States)

    Rastaetter, L.; MacNeice, P. J.; Mays, M. L.; Boblitt, J. M.; Wiegand, C.

    2017-12-01

    The number of models of the corona and inner heliosphere and of their updates and upgrades grows steadily, as does the number and character of the model inputs. Maintaining up to date validation of these models, in the face of this constant model evolution, is a necessary but very labor intensive activity. In the last year alone, both NASA's LWS program and the CCMC's ongoing support of model forecasting activities at NOAA SWPC have sought model validation reports on the quality of all aspects of the community's coronal and heliospheric models, including both ambient and CME related wind solutions at L1. In this presentation I will give a brief review of the community's previous model validation results of L1 wind representation. I will discuss the semi-automated web based system we are constructing at the CCMC to present comparative visualizations of all interesting aspects of the solutions from competing models.This system is designed to be easily queried to provide the essential comprehensive inputs to repeat andupdate previous validation studies and support extensions to them. I will illustrate this by demonstrating how the system is being used to support the CCMC/LWS Model Assessment Forum teams focused on the ambient and time dependent corona and solar wind, including CME arrival time and IMF Bz.I will also discuss plans to extend the system to include results from the Forum teams addressing SEP model validation.

  8. Comprehensive smoke-free policies attract more support from smokers in Europe than partial policies.

    Science.gov (United States)

    Mons, Ute; Nagelhout, Gera E; Guignard, Romain; McNeill, Ann; van den Putte, Bas; Willemsen, Marc C; Brenner, Hermann; Pötschke-Langer, Martina; Breitling, Lutz P

    2012-02-01

    Support for smoke-free policies increases over time and particularly after implementation of the policy. In this study we examined whether the comprehensiveness of such policies moderates the effect on support among smokers. We analysed two waves (pre- and post-smoke-free legislation) of the International Tobacco Control (ITC) surveys in France, Germany, and the Netherlands, and two pre-legislation waves of the ITC surveys in UK as control. Of 6,903 baseline smokers, 4,945 (71.6%) could be followed up and were included in the analyses. Generalised Estimating Equations (GEE) were used to compare changes in support from pre- to post-legislation to the secular trend in the control country. Multiple logistic regression models were employed to identify predictors of individual change in support. In France, the comprehensive smoking ban was associated with sharp increases in support for a total smoking ban in drinking establishments and restaurants that were above secular trends. In Germany and the Netherlands, where smoke-free policies and compliance are especially deficient in drinking establishments, only support for a total smoking ban in restaurants increased above the secular trend. Notable prospective predictors of becoming supportive of smoking bans in these countries were higher awareness of cigarette smoke being dangerous to others and weekly visiting of restaurants. Our findings suggest that smoke-free policies have the potential to improve support once the policy is in place. This effect seems to be most pronounced with comprehensive smoking bans, which thus might be the most valid option for policy-makers despite their potential for creating controversy and resistance in the beginning.

  9. The Madikwe Forum: a comprehensive partnership for supporting ...

    African Journals Online (AJOL)

    This article presents findings from a qualitative study of a governance structure of the African Comprehensive HIV/AIDS Partnerships (ACHAP), namely the Madikwe Forum. The investigation sought to critically reflect on the role and effectiveness of the Madikwe Forum in Botswana's response to HIV and AIDS and to ...

  10. Fuzzy Comprehensive Evaluation (FCE) in Military Decision Support Processes

    Science.gov (United States)

    2013-12-01

    comprehensive evaluation JCA joint campaign analysis JHSV Joint High-Speed Vessel LCS Littoral Combat Ship MCDM multiple criteria decision-making...criteria decision-making ( MCDM ) method. There are different types of MCDM processes, but all handle problems of subjectivity, ambiguity, and...41 V. CONCLUSIONS A. SUMMARY The FCE method is one of many that solve multiple criteria decision-making ( MCDM ) problems by incorporating

  11. Modeling human comprehension of data visualizations

    Energy Technology Data Exchange (ETDEWEB)

    Matzen, Laura E. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Haass, Michael Joseph [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Divis, Kristin Marie [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Wilson, Andrew T. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2017-09-01

    This project was inspired by two needs. The first is a need for tools to help scientists and engineers to design effective data visualizations for communicating information, whether to the user of a system, an analyst who must make decisions based on complex data, or in the context of a technical report or publication. Most scientists and engineers are not trained in visualization design, and they could benefit from simple metrics to assess how well their visualization's design conveys the intended message. In other words, will the most important information draw the viewer's attention? The second is the need for cognition-based metrics for evaluating new types of visualizations created by researchers in the information visualization and visual analytics communities. Evaluating visualizations is difficult even for experts. However, all visualization methods and techniques are intended to exploit the properties of the human visual system to convey information efficiently to a viewer. Thus, developing evaluation methods that are rooted in the scientific knowledge of the human visual system could be a useful approach. In this project, we conducted fundamental research on how humans make sense of abstract data visualizations, and how this process is influenced by their goals and prior experience. We then used that research to develop a new model, the Data Visualization Saliency Model, that can make accurate predictions about which features in an abstract visualization will draw a viewer's attention. The model is an evaluation tool that can address both of the needs described above, supporting both visualization research and Sandia mission needs.

  12. Inference Instruction to Support Reading Comprehension for Elementary Students with Learning Disabilities

    Science.gov (United States)

    Hall, Colby; Barnes, Marcia A.

    2017-01-01

    Making inferences during reading is a critical standards-based skill and is important for reading comprehension. This article supports the improvement of reading comprehension for students with learning disabilities (LD) in upper elementary grades by reviewing what is currently known about inference instruction for students with LD and providing…

  13. Comprehension of functional support by enculturated chimpanzees Pan troglodytes

    Directory of Open Access Journals (Sweden)

    Anna M. YOCOM, Sarah T. BOYSEN

    2011-08-01

    Full Text Available Studies of causal understanding of tool relationships in captive chimpanzees have yielded disparate findings, particularly those reported by Povinelli & colleagues (2000 for tool tasks by laboratory chimpanzees. The present set of experiments tested nine enculturated chimpanzees on three versions of a support task, as described by Povinelli (2000, during which food rewards were presented in different experimental configurations. In Experiment 1, stimulus pairs included a choice between a cloth with a reward on the upper right corner or with a second reward off the cloth, adjacent to a corner, with the second pair comprised of a cloth with food on the upper right corner, and a second cloth with the reward on the substrate, partially covered. All subjects were successful with both test conditions in Experiment 1. In a second study, the experimental choices included one of two possible correct options, paired with one of three incorrect options, with the three incorrect choices all involving varying degrees of perceptual containment. All nine chimpanzees scored significantly above chance across all six conditions. In Experiment 3, four unique conditions were presented, combining one of two possible correct choices with one of two incorrect choices. Six of the subjects scored significantly above chance across the four conditions, and group performance on individual conditions was also significant. Superior performance was demonstrated by female subjects in Experiment 3, similar to sex differences in tool use previously reported for wild chimpanzees and some tool tasks in captive chimpanzees. The present results for Experiments 2 & 3 were significantly differed from those reported by Povinelli et al. (2000 for laboratory-born, peer-reared chimpanzees. One contribution towards the dramatic differences between the two study populations may be the significant rearing and housing differences of the chimpanzee groups. One explanation is that under

  14. Bayesian Network Webserver: a comprehensive tool for biological network modeling.

    Science.gov (United States)

    Ziebarth, Jesse D; Bhattacharya, Anindya; Cui, Yan

    2013-11-01

    The Bayesian Network Webserver (BNW) is a platform for comprehensive network modeling of systems genetics and other biological datasets. It allows users to quickly and seamlessly upload a dataset, learn the structure of the network model that best explains the data and use the model to understand relationships between network variables. Many datasets, including those used to create genetic network models, contain both discrete (e.g. genotype) and continuous (e.g. gene expression traits) variables, and BNW allows for modeling hybrid datasets. Users of BNW can incorporate prior knowledge during structure learning through an easy-to-use structural constraint interface. After structure learning, users are immediately presented with an interactive network model, which can be used to make testable hypotheses about network relationships. BNW, including a downloadable structure learning package, is available at http://compbio.uthsc.edu/BNW. (The BNW interface for adding structural constraints uses HTML5 features that are not supported by current version of Internet Explorer. We suggest using other browsers (e.g. Google Chrome or Mozilla Firefox) when accessing BNW). ycui2@uthsc.edu. Supplementary data are available at Bioinformatics online.

  15. A POSITIVE SOCIALIZATION MODEL FOR CHILDREN WITH AUTISM SPECTRUM DISORDERS: COMPREHENSIVE AND INTERDISCIPLINARY APPROACHES. Part 2. Russian experience in social-psychological support of children with asd and their families

    Directory of Open Access Journals (Sweden)

    Albina A. Nesterova

    2016-01-01

    Full Text Available Abstract. The second part of the article aims to analyze domestic experience in support of children with autism; to show the complex model of support of positive socialization of children with ASD and severe defects; to justify the necessity of creating a scientifically validated complex model of support of children with ASD. Methods. The methods involve theoretical analysis and summarization of scientific and methodical publications on the issue of socialization of children with ASD; modeling method. Results. Scientific approaches to socialization and social integration of children with ASD are analyzed, summarized and systematized. The most efficient empirically validated methods and techniques that may be included in the process of social-psychological support of children with ASD and their families are indentified. Regional experience of the Russian Federation in solving the issue of socialization of children with ASD and their families is uncovered, the most effective programs and developments of domestic specialists are highlighted. The model of support of the positive socialization of children with ASD is developed and validated. Scientific novelty. The proposed model is developed on the basis of the principles of multidisciplinarity and interdisciplinarity in the process of interaction between specialists of support, aimed at solving socialization problems of children with ASD and their families. The model incorporates such basic conditions of positive socialization of a child with ASD as: a state of mental health of a child; creation of conditions for successful process of socialization of a child, in particular, for the formation of basic social skills; provision of close interaction of children, psychologists, teachers, parents, social partners; monitoring of dynamics of total indicators of social competence and development of children. Practical significance. The model is supposed to be the basis while creating support for

  16. Comprehensive Care For Joint Replacement Model - Provider Data

    Data.gov (United States)

    U.S. Department of Health & Human Services — Comprehensive Care for Joint Replacement Model - provider data. This data set includes provider data for two quality measures tracked during an episode of care:...

  17. How visual cognition influences process model comprehension

    NARCIS (Netherlands)

    Petrusel, Razvan; Mendling, Jan; Reijers, Hajo A.

    2017-01-01

    Process analysts and other professionals extensively use process models to analyze business processes and identify performance improvement opportunities. Therefore, it is important that such models can be easily and properly understood. Previous research has mainly focused on two types of factors

  18. Comprehensive areal model of residential heating demands

    Energy Technology Data Exchange (ETDEWEB)

    Tessmer, R.G. Jr.

    1978-01-01

    Data sources and methodology for modeling annual residential heating demands are described. A small areal basis is chosen, census tract or minor civil division, to permit estimation of demand densities and economic evaluation of community district heating systems. The demand model is specified for the entire nation in order to provide general applicability and to permit validation with other published fuel consumption estimates for 1970.

  19. Comprehensive Care Model for Sex Trafficking Survivors.

    Science.gov (United States)

    Twigg, Naomi M

    2017-05-01

    The purpose of this study was to identify aftercare services for domestic minor of sex trafficking (DMST) survivors provided by U.S. residential treatment centers. A qualitative research study was conducted with aftercare program personnel from five U.S. residential treatment centers for DMST survivors. Interviews were conducted with staff from five different residential treatment centers providing services exclusively to domestic minor sex trafficking survivors. Participants described the range of services offered to address survivors' posttrafficking needs. Participants' responses assisted in expanding an existing care model to include education re-entry, family reunification, family reconciliation, and emergency substance use services. This study led to the refinement of an aftercare service delivery model and laid the foundation to develop best practice guidelines for providing aftercare services to DMST survivors. Sex trafficking is a global health problem affecting our youth today. Nurses have a vital role in combatting sex trafficking by raising awareness about the problem and restoring the lives of sex trafficking victims by implementing innovative care programs. © 2017 Sigma Theta Tau International.

  20. Autism Treatment and Family Support Models Review

    Directory of Open Access Journals (Sweden)

    Mehrnoush Esbati

    2009-04-01

    Full Text Available Autism is a lifelong neurological disability of unknown etiology. The criteria for a diagnosis of autism are based on a triad of impairments in social interaction, communication and a lack of flexibility in thinking and behavior There are several factors which are likely to contribute to this variation including the definition of autism and variability in diagnosis amongst professionals, however anecdotally there appears to have been a steadily increasing demand for services. The purpose of this review of research literature relating to the management and treatment of children with autism is to identify the most effective models of best practice. The review includes Comparative evidence supporting a range of treatment and intervention models, across the range of individuals included within autism spectrum disorders, psychodynamic treatment/management which are based on the assumption that autism is the result of emotional damage to the child, usually because of failure to develop a close attachment to parents, especially the mother, biological treatments, educational and behavioral interventions, communication therapies, cost benefits and supporting families.The research is examined for evidence to support best practice models in supporting families at the time of diagnosis and assessment and an overview of the nature of comprehensive supports that help reduce stresses that may be experienced by families of a child with autism and promote inclusion in community activities.

  1. A comprehensive track model for the improvement of corrugation models

    Science.gov (United States)

    Gómez, J.; Vadillo, E. G.; Santamaría, J.

    2006-06-01

    This paper presents a detailed model of the railway track based on wave propagation, suitable for corrugation studies. The model analyses both the vertical and the transverse dynamics of the track. Using the finite strip method (FSM), only the cross-section of the rail must be meshed, and thus it is not necessary to discretise a whole span in 3D. This model takes into account the discrete nature of the support, introducing concepts pertaining to the theory of periodic structures in the formulation. Wave superposition is enriched taking into account the contribution of residual vectors. In this way, the model obtains accurate results when a finite section of railway track is considered. Results for the infinite track have been compared against those presented by Gry and Müller. Aside from the improvements provided by the model presented in this paper, which Gry's and Müller's models do not contemplate, the results arising from the comparison prove satisfactory. Finally, the calculated receptances are compared against the experimental values obtained by the authors, demonstrating a fair degree of adequacy. Finally, these receptances are used within a linear model of corrugation developed by the authors.

  2. Developing a Model of Teaching Reading Comprehension for EFL Students

    Science.gov (United States)

    Hamra, Arifuddin; Syatriana, Eny

    2010-01-01

    This study aimed at designing a model of teaching reading comprehension based on the objectives of teaching reading at the senior high school and the teachers' understanding of the school curriculum and to describe the implementation of the model. The subject consisted of 24 teachers, 167 students of five SMAs (senior high schools) in South…

  3. Effects of supported electronic text and explicit instruction on science comprehension by students with autism spectrum disorder

    Science.gov (United States)

    Knight, Victoria Floyd

    Supported electronic text (eText), or text that has been altered to increase access and provide support to learners, may promote comprehension of science content for students with disabilities. According to CAST, Book Builder(TM) uses supported eText to promote reading for meaning for all students. Although little research has been conducted in the area of supported eText for students with autism spectrum disorders (ASD), technology (e.g., computer assisted instruction) has been used for over 35 years to instruct students with ASD in academic areas. The purpose of this study was to evaluate the effects of a supported eText and explicit instruction on the science vocabulary and comprehension of four middle school students with ASD. Researchers used a multiple probe across participants design to evaluate the Book Builder (TM) program on measures of vocabulary, literal comprehension, and application questions. Results indicated a functional relation between the Book Builder(TM) and explicit instruction (i.e., model-lead-test, examples and non-examples, and referral to the definition) and the number of correct responses on the probe. In addition, students were able to generalize concepts to untrained exemplars. Finally, teachers and students validate the program as practical and useful.

  4. Behavioral Support for Students with Severe Disabilities: Functional Assessment and Comprehensive Intervention.

    Science.gov (United States)

    Horner, Robert H.; Carr, Edward G.

    1997-01-01

    Two major advances in the provision of behavioral support to students with severe disabilities include: (1) procedures for conducting functional assessment, and (2) design of comprehensive interventions. The research foundation for these advances, implications for clinicians, and future research directions are presented. (Author/DB)

  5. Comprehensible knowledge model creation for cancer treatment decision making.

    Science.gov (United States)

    Afzal, Muhammad; Hussain, Maqbool; Ali Khan, Wajahat; Ali, Taqdir; Lee, Sungyoung; Huh, Eui-Nam; Farooq Ahmad, Hafiz; Jamshed, Arif; Iqbal, Hassan; Irfan, Muhammad; Abbas Hydari, Manzar

    2017-03-01

    A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and education. One of the big hurdles in developing such systems is the lack of automated mechanisms for knowledge acquisition to enable and educate clinicians in informed decision making. An automated knowledge acquisition methodology with a comprehensible knowledge model for cancer treatment (CKM-CT) is proposed. With the CKM-CT, clinical data are acquired automatically from documents. Quality of data is ensured by correcting errors and transforming various formats into a standard data format. Data preprocessing involves dimensionality reduction and missing value imputation. Predictive algorithm selection is performed on the basis of the ranking score of the weighted sum model. The knowledge builder prepares knowledge for knowledge-based services: clinical decisions and education support. Data is acquired from 13,788 head and neck cancer (HNC) documents for 3447 patients, including 1526 patients of the oral cavity site. In the data quality task, 160 staging values are corrected. In the preprocessing task, 20 attributes and 106 records are eliminated from the dataset. The Classification and Regression Trees (CRT) algorithm is selected and provides 69.0% classification accuracy in predicting HNC treatment plans, consisting of 11 decision paths that yield 11 decision rules. Our proposed methodology, CKM-CT, is helpful to find hidden knowledge in clinical documents. In CKM-CT, the prediction models are developed to assist and educate clinicians for informed decision making. The proposed methodology is generalizable to apply to data of other domains such as breast cancer with a similar objective to assist clinicians in decision making and education. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. A comprehensive model for the compressive behavior of asphalt concrete

    Science.gov (United States)

    Gibson, Nelson H.

    Mechanistic performance prediction of asphalt concrete pavements has been a goal for the pavement industry for some time. A comprehensive material model is essential for such predictions. This dissertation illustrates the development, calibration and validation of a comprehensive constitutive material model for asphalt concrete in unconfined and confined compression. A continuum damage-based viscoelastic model is extended with viscoplasticity. Thermodynamic principles, an elastic-viscoelastic correspondence principle and internal state variables quantify degradation by accounting for linear viscoelasticity and any non-linear viscoelasticity with cumulative damage. Viscoplastic effects are addressed separately. Two distinctly different strain-hardening viscoelastic models were investigated. A more capable multiaxial model with primary-secondary hardening improved upon the original uniaxial. These characteristics enable the whole model to decompose total strain into individual response components of viscoelasticity, viscoplasticity and damage. Separate laboratory tests were required to measure and calibrate the individual response components. The calibration tests include small-strain dynamic modulus tests for undamaged viscoelastic properties, cyclic creep and recovery tests for viscoplastic properties, and constant rate of strain tests for damage properties. All tests were performed at appropriate temperatures and loading rates. An extensive set of validation tests was used to confirm each model, which were very different from the calibration conditions to evaluate the models' capabilities. The predictions at these different conditions indicate that the comprehensive model can realistically simulate a wide range of asphalt concrete behavior. Recommendations are given based on lessons learned in the laboratory experiments and analyses of the data generated.

  7. A comprehensive elementary model of the mammalian circulatory system.

    Science.gov (United States)

    Sandquist, G M; Olsen, D B; Kolff, W J

    1982-01-01

    Beginning with a set of simplifying assumptions and the statements for the hydrodynamic and thermodynamic processes involved, a comprehensive mathematical model for the mammalian circulatory system is developed and evaluated. Analytical relationships are derived and examined for the circulatory component pressures, flow rates, blood volumes, flow resistances, pumping power and pumping rate. The essential circulatory model parameters are identified and inspected for their influence upon circulatory behavior. A complete and consistent set of circulatory model parameters is given for the adult human male and the model response is examined. In general, agreement of the model predictions for man with experimental data is good.

  8. A cognitive architecture-based model of graph comprehension

    OpenAIRE

    Peebles, David

    2012-01-01

    I present a model of expert comprehension performance for 2 × 2 "interaction" graphs typically used to present data from two-way factorial research designs. Developed using the ACT-R cognitive architecture, the model simulates the cognitive and perceptual operations involved in interpreting interaction graphs and provides a detailed characterisation of the information extracted from the diagram, the prior knowledge required to interpret interaction graphs, and the knowledge generated during t...

  9. Evaluation of a social marketing campaign to support Mexico City's comprehensive smoke-free law.

    Science.gov (United States)

    Thrasher, James F; Huang, Liling; Pérez-Hernández, Rosaura; Niederdeppe, Jeff; Arillo-Santillán, Edna; Alday, Jorge

    2011-02-01

    We aimed to assess the level of awareness and impact of a social marketing campaign to promote Mexico City's 2008 comprehensive smoke-free law. Four months after the smoke-free law was implemented but before the campaign launch, we collected data from a population-based, random sample of 961 inhabitants of Mexico City. We analyzed data from 786 respondents who completed follow-up at the end of the campaign to determine campaign exposure and the association between campaign exposure and changes in campaign-targeted knowledge and attitudes. Recall of any of the 5 campaign materials was 69%, with a uniform distribution of exposure to 1, 2, and 3 or more campaign materials (25%, 25%, and 19%, respectively). Exposure to a greater number of campaign materials was associated in a monotonic relation with campaign-targeted knowledge of ammonia and arsenic in cigarette smoke. In models assessing support for, perceived benefits of, and perceived right to smoke-free places, campaign exposure accounted for a positive change in half of the indicators within each of these domains. Social marketing campaigns can reinforce knowledge and attitudes that favor smoke-free laws, thereby helping to establish smoke-free norms.

  10. A Comprehensive and Harmonized Digital Forensic Investigation Process Model.

    Science.gov (United States)

    Valjarevic, Aleksandar; Venter, Hein S

    2015-11-01

    Performing a digital forensic investigation (DFI) requires a standardized and formalized process. There is currently neither an international standard nor does a global, harmonized DFI process (DFIP) exist. The authors studied existing state-of-the-art DFIP models and concluded that there are significant disparities pertaining to the number of processes, the scope, the hierarchical levels, and concepts applied. This paper proposes a comprehensive model that harmonizes existing models. An effort was made to incorporate all types of processes proposed by the existing models, including those aimed at achieving digital forensic readiness. The authors introduce a novel class of processes called concurrent processes. This is a novel contribution that should, together with the rest of the model, enable more efficient and effective DFI, while ensuring admissibility of digital evidence. Ultimately, the proposed model is intended to be used for different types of DFI and should lead to standardization. © 2015 American Academy of Forensic Sciences.

  11. Supported employment and education in comprehensive, integrated care for first episode psychosis: Effects on work, school, and disability income.

    Science.gov (United States)

    Rosenheck, Robert; Mueser, Kim T; Sint, Kyaw; Lin, Haiqun; Lynde, David W; Glynn, Shirley M; Robinson, Delbert G; Schooler, Nina R; Marcy, Patricia; Mohamed, Somaia; Kane, John M

    2017-04-01

    Participation in work and school are central objectives for first episode psychosis (FEP) programs, but evidence effectiveness has been mixed in studies not focused exclusively on supported employment and education (SEE). Requirements for current motivation to work or go to school limit the generalizability of such studies. FEP participants (N=404) at thirty-four community treatment clinics participated in a cluster randomized trial that compared usual Community Care (CC) to NAVIGATE, a comprehensive, team-based treatment program that included ≥5h of SEE services per week, , grounded in many of the principles of the Individual Placement and Support model of supported employment combined with supported education services. All study participants were offered SEE regardless of their initial interest in work or school. Monthly assessments over 24months recorded days of employment and attendance at school, days of participation in SEE, and both employment and public support income (including disability income). General Estimation Equation models were used to compare CC and NAVIGATE on work and school participation, employment and public support income, and the mediating effect of receiving ≥3 SEE visits on these outcomes. NAVIGATE treatment was associated with a greater increase in participation in work or school (p=0.0486) and this difference appeared to be mediated by SEE. No group differences were observed in earnings or public support payments. A comprehensive, team-based FEP treatment approach was associated with greater improvement in work or school participation, and this effect appears to be mediated, in part, by participation in SEE. Published by Elsevier B.V.

  12. Comprehensive European dietary exposure model (CEDEM) for food additives.

    Science.gov (United States)

    Tennant, David R

    2016-05-01

    European methods for assessing dietary exposures to nutrients, additives and other substances in food are limited by the availability of detailed food consumption data for all member states. A proposed comprehensive European dietary exposure model (CEDEM) applies summary data published by the European Food Safety Authority (EFSA) in a deterministic model based on an algorithm from the EFSA intake method for food additives. The proposed approach can predict estimates of food additive exposure provided in previous EFSA scientific opinions that were based on the full European food consumption database.

  13. Comprehensive Power Losses Model for Electronic Power Transformer

    DEFF Research Database (Denmark)

    Yue, Quanyou; Li, Canbing; Cao, Yijia

    2018-01-01

    and considering the impact of the non-unity power factor and the three-phase unbalanced current, the overall power losses in the distribution network when using the EPT to replace the conventional transformer is analyzed, and the conditions in which the application of the EPT can cause less power losses...... reduced power losses in the distribution network require a comprehensive consideration when comparing the power losses of theEPT and conventional transformer. In this paper, a comprehensive power losses analysis model for the EPT in distribution networks is proposed. By analyzing the EPT self-losses......The electronic power transformer (EPT) has highe rpower losses than the conventional transformer. However, the EPT can correct the power factor, compensate the unbalanced current and reduce the line power losses in the distribution network.Therefore, the higher losses of the EPT and the consequent...

  14. Comprehensive Power Losses Model for Electronic Power Transformer

    DEFF Research Database (Denmark)

    Yue, Quanyou; Li, Canbing; Cao, Yijia

    2018-01-01

    The electronic power transformer (EPT) has highe rpower losses than the conventional transformer. However, the EPT can correct the power factor, compensate the unbalanced current and reduce the line power losses in the distribution network.Therefore, the higher losses of the EPT and the consequent......-losses and considering the impact of the non-unity power factor and the three-phase unbalanced current, the overall power losses in the distribution network when using the EPT to replace the conventional transformer is analyzed, and the conditions in which the application of the EPT can cause less power losses...... reduced power losses in the distribution network require a comprehensive consideration when comparing the power losses of theEPT and conventional transformer. In this paper, a comprehensive power losses analysis model for the EPT in distribution networks is proposed. By analyzing the EPT self...

  15. Comprehensive Reactive Power Support of DFIG Adapted to Different Depth of Voltage Sags

    Directory of Open Access Journals (Sweden)

    Yangwu Shen

    2017-06-01

    Full Text Available The low voltage ride-through (LVRT capability of the doubly-fed induction generator (DFIG significantly impacts upon the integration of wind power into the power grid. This paper develops a novel comprehensive control strategy to enhance the LVRT and reactive power support capacities of the DFIG by installing the energy storage system (ESS. The ESS is connected to the DC-link capacitor of the DFIG and used to regulate the DC-link voltage during normal or fault operations. The unbalanced power between the captured wind power and the power injected to the grid during the transient process is absorbed or compensated by the ESS. The rotor-side converter (RSC is used to control the maximum power production and the grid-side converter (GSC is used to control the reactive power before participating in the voltage support. When the supply voltage continues to drop, the rotor speed is increased by controlling the RSC to realize the LVRT capability and help the GSC further enhance the reactive power support capability. The capacity of the GSC is dedicated to injecting the reactive power to the grid. An auxiliary transient pitch angle controller is proposed to protect the generator’s over speed. Both RSC and GSC act as reactive power sources to further enhance the voltage support capability with serious voltage sags. Simulations based on a single-machine infinite-bus power system verify the effectiveness of the developed comprehensive control strategy.

  16. A Communication-Supported Comprehensive Protection Strategy for Converter-Interfaced Islanded Microgrids

    Directory of Open Access Journals (Sweden)

    Dehua Zheng

    2018-04-01

    Full Text Available The deployment of distributed generators (DGs gives rise to several challenges for a microgrid or conventional distribution feeder, regarding control and protection issues. The major ones are: bi-directional flow of power, changes in fault current magnitude, and continuous changes in operational configuration due to both the plug-and-play of DGs and loads, and the intermittency of the renewable DGs. This issue is exacerbated when the microgrid contains several converter-interfaced DGs and operates in the islanded mode of operation. Hence, conventional protection strategies and relaying techniques will no longer be sufficient to protect islanded microgrids against network faults and disturbance conditions. This paper proposes a fast and reliable communication-supported protection strategy for ensuring the safe operation of converter-interfaced islanded microgrids. The strategy is implementable using commercially accessible microprocessor based digital relays, and is applicable for the protection of low voltage islanded microgrids. It provides backup protection to handle communication failures and malfunctions of protective devices. The paper also presents the detailed structural layout of the digital relay, which executes the proposed protection strategy. A number of improvements are proposed to find an alternative method for conventional overcurrent relays to reliably detect small-magnitude fault currents and high impedance faults, commonly encountered in converter-interfaced islanded microgrids. A simple and economical bus protection method is also proposed. Several simulations are conducted on a comprehensive model of a realistic operational industrial microgrid (Goldwind Smart Microgrid System using PSCAD/EMTDC software environment—for different case studies and fault scenarios—to verify the effectiveness of the present strategy and its digital relay.

  17. Advanced AEM by Comprehensive Analysis and Modeling of System Drift

    Science.gov (United States)

    Schiller, Arnulf; Klune, Klaus; Schattauer, Ingrid

    2010-05-01

    The quality of the assessment of risks outgoing from environmental hazards strongly depends on the spatial and temporal distribution of the data collected in a survey area. Natural hazards generally emerge from wide areas as it is in the case of volcanoes or land slides. Conventional surface measurements are restricted to few lines or locations and often can't be conducted in difficult terrain. So they only give a spatial and temporary limited data set and therefore limit the reliability of risk analysis. Aero-geophysical measurements potentially provide a valuable tool for completing the data set as they can be performed over a wide area, even above difficult terrain within a short time. A most desirable opportunity in course of such measurements is the ascertainment of the dynamics of such potentially hazardous environmental processes. This necessitates repeated and reproducible measurements. Current HEM systems can't accomplish this adequately due to their system immanent drift and - in some cases - bad signal to noise ratio. So, to develop comprising concepts for advancing state of the art HEM-systems to a valuable tool for data acquisition in risk assessment or hydrological problems, different studies have been undertaken which form the contents of the presented work conducted in course of the project HIRISK (Helicopter Based Electromagnetic System for Advanced Environmental Risk Assessment - FWF L-354 N10, supported by the Austrian Science Fund). The methodology is based upon two paths: A - Comprehensive experimental testing on an existing HEM system serving as an experimental platform. B - The setup of a numerical model which is continuously refined according to the results of the experimental data. The model then serves to simulate the experimental as well as alternative configurations and to analyze them subject to their drift behavior. Finally, concepts for minimizing the drift are derived and tested. Different test series - stationary on ground as well

  18. Support for comprehensive sexuality education: perspectives from parents of school-age youth.

    Science.gov (United States)

    Eisenberg, Marla E; Bernat, Debra H; Bearinger, Linda H; Resnick, Michael D

    2008-04-01

    Controversy about school-based sexuality education in public schools has continued over the past decade, despite mounting evidence that comprehensive sexuality education effectively promotes sexual health and that parents support these programs in public schools. The present study replicates and expands upon previous findings regarding public views on school-based sexuality education. One thousand six hundred five parents of school-age children in Minnesota responded to telephone surveys in 2006-2007 (63% participation rate), including items regarding general sexuality education, 12 specific topics, the grade level at which each should be taught, and attitudes toward sexuality education. The large majority of parents supported teaching about both abstinence and contraception (comprehensive sexuality education [CSE]; 89.3%), and support was high across all demographic categories of parents. All specific sexuality education topics received majority support (63.4%-98.6%), even those often viewed as controversial. Parents believed most topics should first be taught during the middle school years. Parents held slightly more favorable views on the effectiveness of CSE compared to abstinence-only education, and these views were strongly associated with support for CSE (odds ratio [OR](CSE) = 14.3; OR(abstinence) = 0.11). This study highlights a mismatch between parents' expressed opinions and preferences, and actual sexuality education content as currently taught in the majority of public schools. In light of broad parental support for education that emphasizes multiple strategies for prevention of pregnancy and sexually transmitted infections (including abstinence), parents should be encouraged to express their opinions on sexuality education to teachers, administrators, and school boards regarding the importance of including a variety of topics and beginning instruction during middle school years or earlier.

  19. A Comprehensive Model of Municipal Housing Stock Management

    Directory of Open Access Journals (Sweden)

    Muczyński Andrzej

    2016-06-01

    Full Text Available In many European countries there are still substantial housing needs which social landlords have to fulfill. Especially in countries with a shortage of affordable housing for underprivileged households, the effective and efficient management of the existing social housing stock, which includes technical, social, financial and tenure management activities on the strategic, tactical and operational level, is very important. The paper presents a comprehensive model of municipal housing stock management in the context of Polish conditions. This model was built by adapting the multidimensional concept of real estate management originally developed for commercial real estate portfolio management. It shows an integrative view of municipal housing stock management in Poland and contributes to the better organization and coordination of management activities and tasks in this area. The prepared model may be of interest to other countries where the functions of social landlords are mostly carried out directly by municipalities and their organizational units.

  20. Comprehensive Information Retrieval and Model Input Sequence (CIRMIS)

    Energy Technology Data Exchange (ETDEWEB)

    Friedrichs, D.R.

    1977-04-01

    The Comprehensive Information Retrieval and Model Input Sequence (CIRMIS) was developed to provide the research scientist with man--machine interactive capabilities in a real-time environment, and thereby produce results more quickly and efficiently. The CIRMIS system was originally developed to increase data storage and retrieval capabilities and ground-water model control for the Hanford site. The overall configuration, however, can be used in other areas. The CIRMIS system provides the user with three major functions: retrieval of well-based data, special application for manipulating surface data or background maps, and the manipulation and control of ground-water models. These programs comprise only a portion of the entire CIRMIS system. A complete description of the CIRMIS system is given in this report. 25 figures, 7 tables. (RWR)

  1. Hearing loss in older adults affects neural systems supporting speech comprehension.

    Science.gov (United States)

    Peelle, Jonathan E; Troiani, Vanessa; Grossman, Murray; Wingfield, Arthur

    2011-08-31

    Hearing loss is one of the most common complaints in adults over the age of 60 and a major contributor to difficulties in speech comprehension. To examine the effects of hearing ability on the neural processes supporting spoken language processing in humans, we used functional magnetic resonance imaging to monitor brain activity while older adults with age-normal hearing listened to sentences that varied in their linguistic demands. Individual differences in hearing ability predicted the degree of language-driven neural recruitment during auditory sentence comprehension in bilateral superior temporal gyri (including primary auditory cortex), thalamus, and brainstem. In a second experiment, we examined the relationship of hearing ability to cortical structural integrity using voxel-based morphometry, demonstrating a significant linear relationship between hearing ability and gray matter volume in primary auditory cortex. Together, these results suggest that even moderate declines in peripheral auditory acuity lead to a systematic downregulation of neural activity during the processing of higher-level aspects of speech, and may also contribute to loss of gray matter volume in primary auditory cortex. More generally, these findings support a resource-allocation framework in which individual differences in sensory ability help define the degree to which brain regions are recruited in service of a particular task.

  2. Institutional model for supporting standardization

    International Nuclear Information System (INIS)

    Sanford, M.O.; Jackson, K.J.

    1993-01-01

    Restoring the nuclear option for utilities requires standardized designs. This premise is widely accepted by all parties involved in ALWR development activities. Achieving and maintaining standardization, however, demands new perspectives on the roles and responsibilities for the various commercial organizations involved in nuclear power. Some efforts are needed to define a workable model for a long-term support structure that will allow the benefits of standardization to be realized. The Nuclear Power Oversight Committee (NPOC) has developed a strategic plan that lays out the steps necessary to enable the nuclear industry to be in a position to order a new nuclear power plant by the mid 1990's. One of the key elements of the plan is the, ''industry commitment to standardization: through design certification, combined license, first-of-a-kind engineering, construction, operation, and maintenance of nuclear power plants.'' This commitment is a result of the recognition by utilities of the substantial advantages to standardization. Among these are economic benefits, licensing benefits from being treated as one of a family, sharing risks across a broader ownership group, sharing operating experiences, enhancing public safety, and a more coherent market force. Utilities controlled the construction of the past generation of nuclear units in a largely autonomous fashion procuring equipment and designs from a vendor, engineering services from an architect/engineer, and construction from a construction management firm. This, in addition to forcing the utility to assume virtually all of the risks associated with the project, typically resulted in highly customized designs based on preferences of the individual utility. However, the benefits of standardization can be realized only through cooperative choices and decision making by the utilities and through working as partners with reactor vendors, architect/engineers, and construction firms

  3. The computational implementation of the landscape model: modeling inferential processes and memory representations of text comprehension.

    Science.gov (United States)

    Tzeng, Yuhtsuen; van den Broek, Paul; Kendeou, Panayiota; Lee, Chengyuan

    2005-05-01

    The complexity of text comprehension demands a computational approach to describe the cognitive processes involved. In this article, we present the computational implementation of the landscape model of reading. This model captures both on-line comprehension processes during reading and the off-line memory representation after reading is completed, incorporating both memory-based and coherence-based mechanisms of comprehension. The overall architecture and specific parameters of the program are described, and a running example is provided. Several studies comparing computational and behavioral data indicate that the implemented model is able to account for cycle-by-cycle comprehension processes and memory for a variety of text types and reading situations.

  4. A comprehensive approach to age-dependent dosimetric modeling

    Energy Technology Data Exchange (ETDEWEB)

    Leggett, R.W.; Cristy, M.; Eckerman, K.F.

    1986-01-01

    In the absence of age-specific biokinetic models, current retention models of the International Commission on Radiological Protection (ICRP) frequently are used as a point of departure for evaluation of exposures to the general population. These models were designed and intended for estimation of long-term integrated doses to the adult worker. Their format and empirical basis preclude incorporation of much valuable physiological information and physiologically reasonable assumptions that could be used in characterizing the age-specific behavior of radioelements in humans. In this paper we discuss a comprehensive approach to age-dependent dosimetric modeling in which consideration is given not only to changes with age in masses and relative geometries of body organs and tissues but also to best available physiological and radiobiological information relating to the age-specific biobehavior of radionuclides. This approach is useful in obtaining more accurate estimates of long-term dose commitments as a function of age at intake, but it may be particularly valuable in establishing more accurate estimates of dose rate as a function of age. Age-specific dose rates are needed for a proper analysis of the potential effects on estimates or risk of elevated dose rates per unit intake in certain stages of life, elevated response per unit dose received during some stages of life, and age-specific non-radiogenic competing risks.

  5. A comprehensive approach to age-dependent dosimetric modeling

    International Nuclear Information System (INIS)

    Leggett, R.W.; Cristy, M.; Eckerman, K.F.

    1986-01-01

    In the absence of age-specific biokinetic models, current retention models of the International Commission on Radiological Protection (ICRP) frequently are used as a point of departure for evaluation of exposures to the general population. These models were designed and intended for estimation of long-term integrated doses to the adult worker. Their format and empirical basis preclude incorporation of much valuable physiological information and physiologically reasonable assumptions that could be used in characterizing the age-specific behavior of radioelements in humans. In this paper we discuss a comprehensive approach to age-dependent dosimetric modeling in which consideration is given not only to changes with age in masses and relative geometries of body organs and tissues but also to best available physiological and radiobiological information relating to the age-specific biobehavior of radionuclides. This approach is useful in obtaining more accurate estimates of long-term dose commitments as a function of age at intake, but it may be particularly valuable in establishing more accurate estimates of dose rate as a function of age. Age-specific dose rates are needed for a proper analysis of the potential effects on estimates or risk of elevated dose rates per unit intake in certain stages of life, elevated response per unit dose received during some stages of life, and age-specific non-radiogenic competing risks

  6. A Practical Model to Perform Comprehensive Cybersecurity Audits

    Directory of Open Access Journals (Sweden)

    Regner Sabillon

    2018-03-01

    Full Text Available These days organizations are continually facing being targets of cyberattacks and cyberthreats; the sophistication and complexity of modern cyberattacks and the modus operandi of cybercriminals including Techniques, Tactics and Procedures (TTP keep growing at unprecedented rates. Cybercriminals are always adopting new strategies to plan and launch cyberattacks based on existing cybersecurity vulnerabilities and exploiting end users by using social engineering techniques. Cybersecurity audits are extremely important to verify that information security controls are in place and to detect weaknesses of inexistent cybersecurity or obsolete controls. This article presents an innovative and comprehensive cybersecurity audit model. The CyberSecurity Audit Model (CSAM can be implemented to perform internal or external cybersecurity audits. This model can be used to perform single cybersecurity audits or can be part of any corporate audit program to improve cybersecurity controls. Any information security or cybersecurity audit team has either the options to perform a full audit for all cybersecurity domains or by selecting specific domains to audit certain areas that need control verification and hardening. The CSAM has 18 domains; Domain 1 is specific for Nation States and Domains 2-18 can be implemented at any organization. The organization can be any small, medium or large enterprise, the model is also applicable to any Non-Profit Organization (NPO.

  7. A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications

    Directory of Open Access Journals (Sweden)

    Berto de Tácio Pereira Gomes

    2017-12-01

    Full Text Available Context aware systems are able to adapt their behavior according to the environment in which the user is. They can be integrated into an Internet of Things (IoT infrastructure, allowing a better perception of the user’s physical environment by collecting context data from sensors embedded in devices known as smart objects. An IoT extension called the Internet of Mobile Things (IoMT suggests new scenarios in which smart objects and IoT gateways can move autonomously or be moved easily. In a comprehensive view, Quality of Context (QoC is a term that can express quality requirements of context aware applications. These requirements can be those related to the quality of information provided by the sensors (e.g., accuracy, resolution, age, validity time or those referring to the quality of the data distribution service (e.g, reliability, delay, delivery time. Some functionalities of context aware applications and/or decision-making processes of these applications and their users depend on the level of quality of context available, which tend to vary over time for various reasons. Reviewing the literature, it is possible to verify that the quality of context support provided by IoT-oriented middleware systems still has limitations in relation to at least four relevant aspects: (i quality of context provisioning; (ii quality of context monitoring; (iii support for heterogeneous device and technology management; (iv support for reliable data delivery in mobility scenarios. This paper presents two main contributions: (i a state-of-the-art survey specifically aimed at analyzing the middleware with quality of context support and; (ii a new middleware with comprehensive quality of context support for Internet of Things Applications. The proposed middleware was evaluated and the results are presented and discussed in this article, which also shows a case study involving the development of a mobile remote patient monitoring application that was developed

  8. A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications.

    Science.gov (United States)

    Gomes, Berto de Tácio Pereira; Muniz, Luiz Carlos Melo; da Silva E Silva, Francisco José; Dos Santos, Davi Viana; Lopes, Rafael Fernandes; Coutinho, Luciano Reis; Carvalho, Felipe Oliveira; Endler, Markus

    2017-12-08

    Context aware systems are able to adapt their behavior according to the environment in which the user is. They can be integrated into an Internet of Things (IoT) infrastructure, allowing a better perception of the user's physical environment by collecting context data from sensors embedded in devices known as smart objects. An IoT extension called the Internet of Mobile Things (IoMT) suggests new scenarios in which smart objects and IoT gateways can move autonomously or be moved easily. In a comprehensive view, Quality of Context (QoC) is a term that can express quality requirements of context aware applications. These requirements can be those related to the quality of information provided by the sensors (e.g., accuracy, resolution, age, validity time) or those referring to the quality of the data distribution service (e.g, reliability, delay, delivery time). Some functionalities of context aware applications and/or decision-making processes of these applications and their users depend on the level of quality of context available, which tend to vary over time for various reasons. Reviewing the literature, it is possible to verify that the quality of context support provided by IoT-oriented middleware systems still has limitations in relation to at least four relevant aspects: (i) quality of context provisioning; (ii) quality of context monitoring; (iii) support for heterogeneous device and technology management; (iv) support for reliable data delivery in mobility scenarios. This paper presents two main contributions: (i) a state-of-the-art survey specifically aimed at analyzing the middleware with quality of context support and; (ii) a new middleware with comprehensive quality of context support for Internet of Things Applications. The proposed middleware was evaluated and the results are presented and discussed in this article, which also shows a case study involving the development of a mobile remote patient monitoring application that was developed using the

  9. Towards a Tool-Supported Quality Model for Model-Driven Engineering

    OpenAIRE

    Mohagheghi, Parastoo

    2008-01-01

    This paper reviews definitions of model quality before introducing five properties of models that are important for building high-quality models. These are identified to be correctness, completeness, consistency, comprehensibility and confinement. We have earlier defined a quality model that separates intangible quality goals from tangible quality-carrying properties and practices that should be in place to support these properties.  A part of that work was to define a metamodel for deve...

  10. Modeling the effect of comprehensive interventions on Ebola virus transmission

    Science.gov (United States)

    Shen, Mingwang; Xiao, Yanni; Rong, Libin

    2015-10-01

    Since the re-emergence of Ebola in West Africa in 2014, comprehensive and stringent interventions have been implemented to decelerate the spread of the disease. The effectiveness of interventions still remains unclear. In this paper, we develop an epidemiological model that includes various controlling measures to systematically evaluate their effects on the disease transmission dynamics. By fitting the model to reported cumulative cases and deaths in Guinea, Sierra Leone and Liberia until March 22, 2015, we estimate the basic reproduction number in these countries as 1.2552, 1.6093 and 1.7994, respectively. Model analysis shows that there exists a threshold of the effectiveness of isolation, below which increasing the fraction of latent individuals diagnosed prior to symptoms onset or shortening the duration between symptoms onset and isolation may lead to more Ebola infection. This challenges an existing view. Media coverage plays a substantial role in reducing the final epidemic size. The response to reported cumulative infected cases and deaths may have a different effect on the epidemic spread in different countries. Among all the interventions, we find that shortening the duration between death and burial and improving the effectiveness of isolation are two effective interventions for controlling the outbreak of Ebola virus infection.

  11. Decision Support in a Changing and Contentious World--Successfully Supporting the Development of a 50-year Comprehensive Coastal Master Plan in Louisiana

    Science.gov (United States)

    Groves, D.

    2014-12-01

    After the devastating 2005 hurricane season, Louisiana embarked on an ambitious and daunting effort to develop and implement a comprehensive Coastal Master Plan. The Master Plan sought to achieve two key goals simultaneously: reduce hurricane flood risk and halt the net conversion of its coastal landscape to open ocean. Numerous prior efforts to achieve these goals had been tried without significant success. In 2012, however, the Louisiana Coastal Protection and Restoration Authority (CPRA) produced a 50-year, $50 billion Master Plan. It had broad support from a diverse and often adversarial set of stakeholders, and it was unanimously passed by the Louisiana legislature. In contrast to other efforts, CPRA took an approach to planning called by the U.S. National Research Council as "deliberation with analysis". Specifically, CPRA used data, models, and decision support tools not to define an optimal or best strategy, but instead to support stakeholder dialogue and deliberations over alterative coastal management strategies. RAND researchers, with the support of CPRA and other collaborators, developed the planning tool at the center of this process. The CPRA planning tool synthesized large amounts of information about how the coast might evolve over time with and without different combinations of hundreds of different projects and programs. The tool helped CPRA propose alternative strategies that could achieve the State's goals while also highlighting to stakeholders the key tradeoffs among them. Importantly, this process helped bring diverse communities together to support a single vision and specific set of projects and programs to meet many of Louisiana's coastal water resources challenges. This presentation will describe the planning approach and decision support tools developed to support the Master Plan's participatory stakeholder process. The presentation will also highlight several important key takeaway messages that have broad applicability to other water

  12. 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

  13. THE COMPETENCE-CONTEXT MODEL OF TRAINING AND EDUCATION IN COMPREHENSIVE SCHOOLS

    Directory of Open Access Journals (Sweden)

    N. A. Rybakina

    2017-01-01

    Full Text Available Introduction. The article is devoted to the problem of finding models of implementation of continuing education.Aim. The article deals with the competence and context-based model of learning and education in a comprehensive school as a part of lifelong education. The structural components of the competence-context model are described. The author also presents results of the model testing.Methodology and research methods. The competence-based approach is a methodological base of the presented research. The article carries out theoretical analysis of psychological and pedagogical literature concerning with the research problem. The author also applies such methods as: modeling of teaching objects, pedagogical experiment, quantitative and qualitative analysis.Results. The author suggests an educational model of competence formation and development in the framework of the theory of context-based education, which supports continuing personal development in the system of lifelong education. The paper describes the essence of the components of the competence-context model of training and upbringing.Scientific novelty. The research justifies the need to distinguish an invariant result of the continuing education. It is shown that competence as a combination of cognitive, social and reflective experience can act as an invariant.Practical significance. The proposed results of testing of the competencecontext model of training and education in comprehensive schools of the Samara region can be in-demand among school teachers for their educational work.

  14. Integration of measurement data in the comprehensive modelling approach

    Science.gov (United States)

    Sieber, I.; Rübenach, O.

    2013-09-01

    Efficient and reliable optical design requires knowledge of the production chain, the materials used, and the environmental circumstances in the field of operation. This is realized in the comprehensive modelling approach consisting of three steps: • Design for manufacturing, i.e. the model must be adjusted to the process chain. Knowledge of design rules is required. • Robust design, i.e. optimization of the functional design with the objective of a compensation of the tolerance influences on the system's performance. Knowledge of the tolerances of the individual process steps is required. • Reliable design with respect to environmental and operational effects, respectively. Coupling of an optical and mechanical simulation tool is required to form the optical simulation environment. The availability of process knowledge such as e.g. design rules and manufacturing tolerances is ensured by coupling of the optical simulation environment with a process knowledge database. Integration of measured surface data in this simulation environment enables a realistic simulation and analysis of real, manufactured optics. This approach allows e.g. for the evaluation of replication methods such as precision molding or injection molding against high-precision manufacturing methods, e.g. diamond turning.

  15. Learning to Estimate Slide Comprehension in Classrooms with Support Vector Machines

    Science.gov (United States)

    Pattanasri, N.; Mukunoki, M.; Minoh, M.

    2012-01-01

    Comprehension assessment is an essential tool in classroom learning. However, the judgment often relies on experience of an instructor who makes observation of students' behavior during the lessons. We argue that students should report their own comprehension explicitly in a classroom. With students' comprehension made available at the slide…

  16. CM5: A pre-Swarm magnetic field model based upon the comprehensive modeling approach

    DEFF Research Database (Denmark)

    Sabaka, T.; Olsen, Nils; Tyler, Robert

    2014-01-01

    We have developed a model based upon the very successful Comprehensive Modeling (CM) approach using recent CHAMP, Ørsted, SAC-C and observatory hourly-means data from September 2000 to the end of 2013. This CM, called CM5, was derived from the algorithm that will provide a consistent line of Leve...

  17. MetaboTools: A Comprehensive Toolbox for Analysis of Genome-Scale Metabolic Models

    Science.gov (United States)

    Aurich, Maike K.; Fleming, Ronan M. T.; Thiele, Ines

    2016-01-01

    Metabolomic data sets provide a direct read-out of cellular phenotypes and are increasingly generated to study biological questions. Previous work, by us and others, revealed the potential of analyzing extracellular metabolomic data in the context of the metabolic model using constraint-based modeling. With the MetaboTools, we make our methods available to the broader scientific community. The MetaboTools consist of a protocol, a toolbox, and tutorials of two use cases. The protocol describes, in a step-wise manner, the workflow of data integration, and computational analysis. The MetaboTools comprise the Matlab code required to complete the workflow described in the protocol. Tutorials explain the computational steps for integration of two different data sets and demonstrate a comprehensive set of methods for the computational analysis of metabolic models and stratification thereof into different phenotypes. The presented workflow supports integrative analysis of multiple omics data sets. Importantly, all analysis tools can be applied to metabolic models without performing the entire workflow. Taken together, the MetaboTools constitute a comprehensive guide to the intra-model analysis of extracellular metabolomic data from microbial, plant, or human cells. This computational modeling resource offers a broad set of computational analysis tools for a wide biomedical and non-biomedical research community. PMID:27536246

  18. A comprehensive model for intimate partner violence in South African primary care: action research

    Directory of Open Access Journals (Sweden)

    Joyner Kate

    2012-11-01

    Full Text Available Abstract Background Despite extensive evidence on the magnitude of intimate partner violence (IPV as a public health problem worldwide, insubstantial progress has been made in the development and implementation of sufficiently comprehensive health services. This study aimed to implement, evaluate and adapt a published protocol for the screening and management of IPV and to recommend a model of care that could be taken to scale in our underdeveloped South African primary health care system. Methods Professional action research utilised a co-operative inquiry group that consisted of four nurses, one doctor and a qualitative researcher. The inquiry group implemented the protocol in two urban and three rural primary care facilities. Over a period of 14 months the group reflected on their experience, modified the protocol and developed recommendations on a practical but comprehensive model of care. Results The original protocol had to be adapted in terms of its expectations of the primary care providers, overly forensic orientation, lack of depth in terms of mental health, validity of the danger assessment and safety planning process, and need for ongoing empowerment and support. A three-tier model resulted: case finding and clinical care provision by primary care providers; psychological, social and legal assistance by ‘IPV champions’ followed by a group empowerment process; and then ongoing community-based support groups. Conclusion The inquiry process led to a model of comprehensive and intersectoral care that is integrated at the facility level and which is now being piloted in the Western Cape, South Africa.

  19. Online Cancer Information Seeking: Applying and Extending the Comprehensive Model of Information Seeking.

    Science.gov (United States)

    Van Stee, Stephanie K; Yang, Qinghua

    2017-10-30

    This study applied the comprehensive model of information seeking (CMIS) to online cancer information and extended the model by incorporating an exogenous variable: interest in online health information exchange with health providers. A nationally representative sample from the Health Information National Trends Survey 4 Cycle 4 was analyzed to examine the extended CMIS in predicting online cancer information seeking. Findings from a structural equation model supported most of the hypotheses derived from the CMIS, as well as the extension of the model related to interest in online health information exchange. In particular, socioeconomic status, beliefs, and interest in online health information exchange predicted utility. Utility, in turn, predicted online cancer information seeking, as did information-carrier characteristics. An unexpected but important finding from the study was the significant, direct relationship between cancer worry and online cancer information seeking. Theoretical and practical implications are discussed.

  20. Study on comprehensive evaluation model for nuclear power plant control room layout

    International Nuclear Information System (INIS)

    Zhu Yiming; Liu Yuan; Fan Huixian

    2010-01-01

    A comprehensive evaluation model for layout of the main control room of nuclear power plants was proposed. Firstly the design scope and principle for the layout of the main control room were defined based on the standards, and then the index system for the comprehensive evaluation was established. Finally, comprehensive evaluation was carried out for the layout design by applying the fuzzy comprehensive evaluation method in the index system. (authors)

  1. A Neural Model of Face Recognition: a Comprehensive Approach

    Science.gov (United States)

    Stara, Vera; Montesanto, Anna; Puliti, Paolo; Tascini, Guido; Sechi, Cristina

    Visual recognition of faces is an essential behavior of humans: we have optimal performance in everyday life and just such a performance makes us able to establish the continuity of actors in our social life and to quickly identify and categorize people. This remarkable ability justifies the general interest in face recognition of researchers belonging to different fields and specially of designers of biometrical identification systems able to recognize the features of person's faces in a background. Due to interdisciplinary nature of this topic in this contribute we deal with face recognition through a comprehensive approach with the purpose to reproduce some features of human performance, as evidenced by studies in psychophysics and neuroscience, relevant to face recognition. This approach views face recognition as an emergent phenomenon resulting from the nonlinear interaction of a number of different features. For this reason our model of face recognition has been based on a computational system implemented through an artificial neural network. This synergy between neuroscience and engineering efforts allowed us to implement a model that had a biological plausibility, performed the same tasks as human subjects, and gave a possible account of human face perception and recognition. In this regard the paper reports on an experimental study of performance of a SOM-based neural network in a face recognition task, with reference both to the ability to learn to discriminate different faces, and to the ability to recognize a face already encountered in training phase, when presented in a pose or with an expression differing from the one present in the training context.

  2. A comprehensive Network Security Risk Model for process control networks.

    Science.gov (United States)

    Henry, Matthew H; Haimes, Yacov Y

    2009-02-01

    The risk of cyber attacks on process control networks (PCN) is receiving significant attention due to the potentially catastrophic extent to which PCN failures can damage the infrastructures and commodity flows that they support. Risk management addresses the coupled problems of (1) reducing the likelihood that cyber attacks would succeed in disrupting PCN operation and (2) reducing the severity of consequences in the event of PCN failure or manipulation. The Network Security Risk Model (NSRM) developed in this article provides a means of evaluating the efficacy of candidate risk management policies by modeling the baseline risk and assessing expectations of risk after the implementation of candidate measures. Where existing risk models fall short of providing adequate insight into the efficacy of candidate risk management policies due to shortcomings in their structure or formulation, the NSRM provides model structure and an associated modeling methodology that captures the relevant dynamics of cyber attacks on PCN for risk analysis. This article develops the NSRM in detail in the context of an illustrative example.

  3. Physics modeling support contract: Final report

    Energy Technology Data Exchange (ETDEWEB)

    1987-09-30

    This document is the final report for the Physics Modeling Support contract between TRW, Inc. and the Lawrence Livermore National Laboratory for fiscal year 1987. It consists of following projects: TIBER physics modeling and systems code development; advanced blanket modeling task; time dependent modeling; and free electron maser for TIBER II.

  4. Physics modeling support contract: Final report

    International Nuclear Information System (INIS)

    1987-01-01

    This document is the final report for the Physics Modeling Support contract between TRW, Inc. and the Lawrence Livermore National Laboratory for fiscal year 1987. It consists of following projects: TIBER physics modeling and systems code development; advanced blanket modeling task; time dependent modeling; and free electron maser for TIBER II

  5. The Madikwe Forum: a comprehensive partnership for supporting governance of Botswana's HIV and AIDS response.

    Science.gov (United States)

    George, Gavin; Reardon, Candice; Gunthorp, Jonathan; Moeti, Themba; Chingombe, Innocent; Busang, Lesego; Musuka, Godfrey

    2012-03-01

    There is a need for actors within the philanthropic sector to pursue collaborative partnerships with developing nations which could result in sustainable country-led responses to HIV and AIDS. There is also a need to evaluate the structures governing these partnerships in order to determine their effectiveness in strengthening national responses to HIV and AIDS. This article presents findings from a qualitative study of a governance structure of the African Comprehensive HIV/AIDS Partnerships (ACHAP), namely the Madikwe Forum. The investigation sought to critically reflect on the role and effectiveness of the Madikwe Forum in Botswana's response to HIV and AIDS and to consider the value of such a forum for other developing nations and partnership arrangements. The findings indicate that the Madikwe Forum has enabled considerable progress in the implementation of ACHAP-supported initiatives in Botswana. The constructive working relationship and close alignment between ACHAP and the Botswana government's objectives and priority areas were viewed as critical to this success. However, problems exist regarding the operation of the forum as well as a lack of focus on monitoring and evaluation, which requires the forum's urgent attention.

  6. Automated and comprehensive link engineering supporting branched, ring, and mesh network topologies

    Science.gov (United States)

    Farina, J.; Khomchenko, D.; Yevseyenko, D.; Meester, J.; Richter, A.

    2016-02-01

    Link design, while relatively easy in the past, can become quite cumbersome with complex channel plans and equipment configurations. The task of designing optical transport systems and selecting equipment is often performed by an applications or sales engineer using simple tools, such as custom Excel spreadsheets. Eventually, every individual has their own version of the spreadsheet as well as their own methodology for building the network. This approach becomes unmanageable very quickly and leads to mistakes, bending of the engineering rules and installations that do not perform as expected. We demonstrate a comprehensive planning environment, which offers an efficient approach to unify, control and expedite the design process by controlling libraries of equipment and engineering methodologies, automating the process and providing the analysis tools necessary to predict system performance throughout the system and for all channels. In addition to the placement of EDFAs and DCEs, performance analysis metrics are provided at every step of the way. Metrics that can be tracked include power, CD and OSNR, SPM, XPM, FWM and SBS. Automated routine steps assist in design aspects such as equalization, padding and gain setting for EDFAs, the placement of ROADMs and transceivers, and creating regeneration points. DWDM networks consisting of a large number of nodes and repeater huts, interconnected in linear, branched, mesh and ring network topologies, can be designed much faster when compared with conventional design methods. Using flexible templates for all major optical components, our technology-agnostic planning approach supports the constant advances in optical communications.

  7. Comprehensive cardiopulmonary life support (CCLS for cardiopulmonary resuscitation by trained paramedics and medics inside the hospital

    Directory of Open Access Journals (Sweden)

    Rakesh Garg

    2017-01-01

    Full Text Available The cardiopulmonary resuscitation (CPR guideline of comprehensive cardiopulmonary life support (CCLS for management of the patient with cardiopulmonary arrest in adults provides an algorithmic step-wise approach for optimal outcome of the patient inside the hospital by trained medics and paramedics. This guideline has been developed considering the infrastructure of healthcare delivery system in India. This is based on evidence in the international and national literature. In the absence of data from the Indian population, the extrapolation has been made from international data, discussed with Indian experts and modified accordingly to ensure their applicability in India. The CCLS guideline emphasise the need to recognise patients at risk for cardiac arrest and their timely management before a cardiac arrest occurs. The basic components of CPR include chest compressions for blood circulation; airway maintenance to ensure airway patency; lung ventilation to enable oxygenation and defibrillation to convert a pathologic 'shockable' cardiac rhythm to one capable to maintaining effective blood circulation. CCLS emphasises incorporation of airway management, drugs, and identification of the cause of arrest and its correction, while chest compression and ventilation are ongoing. It also emphasises the value of organised team approach and optimal post-resuscitation care.

  8. Comprehensive support for nuclear decommissioning based on 3D simulation and advanced user interface technologies

    International Nuclear Information System (INIS)

    Szőke, István; Louka, Michael N.; Bryntesen, Tom-Robert; Edvardsen, Svein-Tore; Bratteli, Joachim

    2015-01-01

    There is an increasing international focus on the need to optimise decommissioning strategies, driven by the anticipation of high costs and major effort for the decommissioning of nuclear facilities in the coming decades. The goals are to control and mitigate costs and negative impacts on workers, the general public, and the environment. The methods presently employed for many decommissioning tasks do not apply the latest advancements of science and technology. Therefore, there is growing interest in research and development into the adoption of novel techniques for improving safety, reducing costs, and increasing transparency. This paper provides a comprehensive overview of the authors' results from investigating how current and emerging technologies can be applied to enhance the international decommissioning strategy, focussing in particular on three-dimensional simulation, virtual reality, advanced user interfaces, mobile and wearable devices, and geographical information systems. Our results demonstrate that emerging technologies have great potential for supporting adoption of new instrumentation, improving data and knowledge management, optimising project plans, briefing and training field operators, and for communication, surveillance, and education in general. (author)

  9. Towards a Foundation for Comprehensive Argumentation Scheme Support in Argumentative Dialogue Games

    OpenAIRE

    Wells, Simon

    2013-01-01

    A presentation that I gave at Computational Models of Natural Argument (CMNA) 13, a workshop hosted by the International Conference on Artificial Intelligence and Law (ICAIL) 2013. In this presentation I talk about the need for dialogue games to better support [1] building arguments from their constituent parts, and [2] relating those argument elements to the stereotypical patterns of reasoning that underpin the whole argument.

  10. Nurse managers and the sandwich support model.

    Science.gov (United States)

    Chisengantambu, Christine; Robinson, Guy M; Evans, Nina

    2018-03-01

    To explore the interplay between the work of nurse managers and the support they receive and provide. Support is the cornerstone of management practices and is pivotal in employees feeling committed to an organisation. Support for nurse managers is integral to effective health sector management; its characteristics merit more attention. The experiences of 15 nurse managers in rural health institutions in South Australia were explored using structured interviews, observation and document review. Effective decision making requires adequate support, which influences the perceptions and performance of nurse managers, creating an environment in which they feel appreciated and valued. An ideal support system is proposed, the "sandwich support model," to promote effective functioning and desirable patient outcomes via support "from above" and "from below." The need to support nurse managers effectively is crucial to how they function. The sandwich support model can improve management practices, more effectively assisting nurse managers. Organisations should revisit and strengthen support processes for nurse managers to maximize efficiencies. This paper contributes to understanding the importance of supporting nurse managers, identifying the processes used and the type of support offered. It highlights challenges and issues affecting support practices within the health sector. © 2017 John Wiley & Sons Ltd.

  11. Predicting Longitudinal Change in Language Production and Comprehension in Individuals with Down Syndrome: Hierarchical Linear Modeling.

    Science.gov (United States)

    Chapman, Robin S.; Hesketh, Linda J.; Kistler, Doris J.

    2002-01-01

    Longitudinal change in syntax comprehension and production skill, measured over six years, was modeled in 31 individuals (ages 5-20) with Down syndrome. The best fitting Hierarchical Linear Modeling model of comprehension uses age and visual and auditory short-term memory as predictors of initial status, and age for growth trajectory. (Contains…

  12. Uncertainty modeling and decision support

    International Nuclear Information System (INIS)

    Yager, Ronald R.

    2004-01-01

    We first formulate the problem of decision making under uncertainty. The importance of the representation of our knowledge about the uncertainty in formulating a decision process is pointed out. We begin with a brief discussion of the case of probabilistic uncertainty. Next, in considerable detail, we discuss the case of decision making under ignorance. For this case the fundamental role of the attitude of the decision maker is noted and its subjective nature is emphasized. Next the case in which a Dempster-Shafer belief structure is used to model our knowledge of the uncertainty is considered. Here we also emphasize the subjective choices the decision maker must make in formulating a decision function. The case in which the uncertainty is represented by a fuzzy measure (monotonic set function) is then investigated. We then return to the Dempster-Shafer belief structure and show its relationship to the fuzzy measure. This relationship allows us to get a deeper understanding of the formulation the decision function used Dempster- Shafer framework. We discuss how this deeper understanding allows a decision analyst to better make the subjective choices needed in the formulation of the decision function

  13. Initial extractions and tooth loss during supportive care in a periodontal population seeking comprehensive care.

    Science.gov (United States)

    Tonetti, M S; Steffen, P; Muller-Campanile, V; Suvan, J; Lang, N P

    2000-11-01

    This retrospective survey was aimed at determining the prevalence of tooth extractions and the dental pathologies associated with them during both the active and maintenance phase of periodontal therapy in a periodontal population seeking comprehensive dental care. A total of 273 randomly selected subjects from the oral prophylaxis clinic of the University of Berne were included. All subjects had received comprehensive care consisting of periodontal and restorative treatment and participated in a supervised maintenance program for an average of 67+/-46 months (range 5 to 278 months). The population consisted of 39.6% current smokers and 27.8% previous smokers. 6.2% of the patients had gingivitis, 20.5% mild periodontitis, 48.4% moderate and 24.9% severe periodontitis. The average frequency of the recall visits was 4.4+/-1.5 appointments/year (range 1.7-12 appointments/year). Results indicated that 574 out of a total of 6503 teeth were extracted; 311 teeth were extracted during active therapy and 263 during the supportive periodontal care (SPC) phase of therapy. 46% of patients received tooth extractions as part of their active treatment and 41% during their participation in the secondary prevention program. In the subgroup whose treatment plan included extractions the average number was 2.5+/-1.6 teeth per patient. Likewise, the patients who received extractions during recall lost an average of 2.35+/-1.9 teeth per subject with an incidence of 0.4+/-0.37 teeth per patient per year. These data reinforce the concept that a minority of the population is responsible for the majority of tooth extractions, both during active therapy and SPC. Periodontal disease was the only pathology observed at 57% of the extracted teeth; while caries, endodontic pathology and technical problems in the absence of periodontitis were observed in 29% of cases. These observations indicate that the rendered treatment was effective in the long-term maintenance of the dentition of these

  14. Strategies to Support High School Students’ Reading Comprehension in the English Language

    Directory of Open Access Journals (Sweden)

    Zabala Palacio Freddy Oswaldo

    2004-08-01

    Full Text Available Teachers are often concerned about the low reading level of their students in both English and Spanish. One way to solve this problem is by using reading strategies. Promoting the development of reading competences in English will offer the students tools that allow them to comprehend texts and will contribute to a closer relation with the second language culture. This article reports on a study carried out when doing my teaching practice in a public high school in Bogotá, Colombia, in 2002. The main objective of my research project was to support the development of eleventh graders’ reading comprehension competence in English. Hence, I refer to the group’s views on English reading comprehension, their handling of strategies to develop reading competence in English and their progress after having applied those strategies. Key words: Foreign Language-Teaching, Reading Strategies El bajo nivel de lectura en los estudiantes de inglés y español es una de las preocupaciones comunes de los docentes. Una forma de solucionar este problema es a través del uso de estrategias de lectura. De tal manera, promover el desarrollo de competencias lectoras en los estudiantes de inglés les ofrecerá herramientas que les permitirán comprender los textos y contribuirá a crear una relación más cercana entre ellos y la cultura de la segunda lengua. Este artículo reporta un estudio llevado a cabo durante mi práctica docente en una escuela pública de Bogotá, Colombia, en el año 2002. El objetivo principal de mi proyecto de investigación fue apoyar el desarrollo de la competencia en comprensión de lectura en el idioma inglés en estudiantes de undécimo grado. Por lo tanto, menciono los puntos de vista de los estudiantes sobre la comprensión de lectura, la forma como utilizan las estrategias para desarrollar esta competencia en inglés y su proceso después de su acercamiento a la comprensión lectora a través del uso de las mismas

  15. Improving Reading Comprehension of Children with ASD: Implication of Anaphoric Reference Support with Computer Programming

    Science.gov (United States)

    Karayazi Ozsayin, Seda

    2017-01-01

    This study examined the effects of anaphoric pronouns presented via computer screen on the reading comprehension of four children with Autism Spectrum Disorder (ASD). Stories from the education.com website were used to collect data. The students' responses to reading comprehension questions during baseline, treatment, and follow-up sessions were…

  16. Energy Production and Regional Economic Growth in China: A More Comprehensive Analysis Using a Panel Model

    Directory of Open Access Journals (Sweden)

    Yaobin Liu

    2013-03-01

    Full Text Available China has witnessed a fast economic growth in the recent two decades. However, the heavy energy exploitation seems to show a negative relation to regional economic growth. Thus, the issue is whether the energy production is a curse or blessing for the regional economic growth in China. The present study deploys a comprehensive approach to rigorously prove the validity of a proposed panel data model that includes a second generation panel unit root test and panel cointegration and a spatial panel model. The results from the second generation panel unit root test and panel cointegration allowing for cross-sectional dependences show the differenced series are stationary and there exists a cointegration relationship among these variables for all sub-regions. The results from the spatial panel data model support the conjecture of the spatial dependent and show that there is a “resource curse” only for the Western region and Central region in China.

  17. Mathematical Modeling Of Life-Support Systems

    Science.gov (United States)

    Seshan, Panchalam K.; Ganapathi, Balasubramanian; Jan, Darrell L.; Ferrall, Joseph F.; Rohatgi, Naresh K.

    1994-01-01

    Generic hierarchical model of life-support system developed to facilitate comparisons of options in design of system. Model represents combinations of interdependent subsystems supporting microbes, plants, fish, and land animals (including humans). Generic model enables rapid configuration of variety of specific life support component models for tradeoff studies culminating in single system design. Enables rapid evaluation of effects of substituting alternate technologies and even entire groups of technologies and subsystems. Used to synthesize and analyze life-support systems ranging from relatively simple, nonregenerative units like aquariums to complex closed-loop systems aboard submarines or spacecraft. Model, called Generic Modular Flow Schematic (GMFS), coded in such chemical-process-simulation languages as Aspen Plus and expressed as three-dimensional spreadsheet.

  18. Training Inference Making Skills Using a Situation Model Approach Improves Reading Comprehension

    Directory of Open Access Journals (Sweden)

    Lisanne eBos

    2016-02-01

    Full Text Available This study aimed to enhance third and fourth graders’ text comprehension at the situation model level. Therefore, we tested a reading strategy training developed to target inference making skills, which are widely considered to be pivotal to situation model construction. The training was grounded in contemporary literature on situation model-based inference making and addressed the source (text-based versus knowledge-based, type (necessary versus unnecessary for (re-establishing coherence, and depth of an inference (making single lexical inferences versus combining multiple lexical inferences, as well as the type of searching strategy (forward versus backward. Results indicated that, compared to a control group (n = 51, children who followed the experimental training (n = 67 improved their inference making skills supportive to situation model construction. Importantly, our training also resulted in increased levels of general reading comprehension and motivation. In sum, this study showed that a ‘level of text representation’-approach can provide a useful framework to teach inference making skills to third and fourth graders.

  19. The Protein Model Portal--a comprehensive resource for protein structure and model information.

    Science.gov (United States)

    Haas, Juergen; Roth, Steven; Arnold, Konstantin; Kiefer, Florian; Schmidt, Tobias; Bordoli, Lorenza; Schwede, Torsten

    2013-01-01

    The Protein Model Portal (PMP) has been developed to foster effective use of 3D molecular models in biomedical research by providing convenient and comprehensive access to structural information for proteins. Both experimental structures and theoretical models for a given protein can be searched simultaneously and analyzed for structural variability. By providing a comprehensive view on structural information, PMP offers the opportunity to apply consistent assessment and validation criteria to the complete set of structural models available for proteins. PMP is an open project so that new methods developed by the community can contribute to PMP, for example, new modeling servers for creating homology models and model quality estimation servers for model validation. The accuracy of participating modeling servers is continuously evaluated by the Continuous Automated Model EvaluatiOn (CAMEO) project. The PMP offers a unique interface to visualize structural coverage of a protein combining both theoretical models and experimental structures, allowing straightforward assessment of the model quality and hence their utility. The portal is updated regularly and actively developed to include latest methods in the field of computational structural biology. Database URL: http://www.proteinmodelportal.org.

  20. The Protein Model Portal—a comprehensive resource for protein structure and model information

    Science.gov (United States)

    Haas, Juergen; Roth, Steven; Arnold, Konstantin; Kiefer, Florian; Schmidt, Tobias; Bordoli, Lorenza; Schwede, Torsten

    2013-01-01

    The Protein Model Portal (PMP) has been developed to foster effective use of 3D molecular models in biomedical research by providing convenient and comprehensive access to structural information for proteins. Both experimental structures and theoretical models for a given protein can be searched simultaneously and analyzed for structural variability. By providing a comprehensive view on structural information, PMP offers the opportunity to apply consistent assessment and validation criteria to the complete set of structural models available for proteins. PMP is an open project so that new methods developed by the community can contribute to PMP, for example, new modeling servers for creating homology models and model quality estimation servers for model validation. The accuracy of participating modeling servers is continuously evaluated by the Continuous Automated Model EvaluatiOn (CAMEO) project. The PMP offers a unique interface to visualize structural coverage of a protein combining both theoretical models and experimental structures, allowing straightforward assessment of the model quality and hence their utility. The portal is updated regularly and actively developed to include latest methods in the field of computational structural biology. Database URL: http://www.proteinmodelportal.org PMID:23624946

  1. Adaptive-Positive vs. Maladaptive-Negative Structures and Processes in Learning: Towards the Comprehensive Model of Academic Performance

    OpenAIRE

    Rogaten, Jekaterina

    2014-01-01

    The goal of this Ph.D. research was to develop an empirical foundation suitable for designing educational interventions and programmes aiming to improve students’ learning. In order to achieve this, a series of studies was conducted that supported the development and test of a comprehensive, chained mediation model of academic performance. The proposed chained mediation model comprised of adaptive-positive and maladaptive-negative submodels. The adaptive-positive submodel hypothesised firstly...

  2. The DIAMOND Model of Peace Support Operations

    National Research Council Canada - National Science Library

    Bailey, Peter

    2005-01-01

    DIAMOND (Diplomatic And Military Operations in a Non-warfighting Domain) is a high-level stochastic simulation developed at Dstl as a key centerpiece within the Peace Support Operations (PSO) 'modelling jigsaw...

  3. A Comprehensive School-based Conflict-Resolution Model.

    Science.gov (United States)

    Woody, Debra

    2001-01-01

    Describes a comprehensive school-based conflict-resolution approach designed by two school-based social workers and implemented in an "alternative" urban high school over a two-year period. Results indicate that a more cooperative atmosphere developed in the school as a result of the program and that the program was effective in reducing both…

  4. A Model of Reading Comprehension in Chinese Elementary School Children

    Science.gov (United States)

    Yeung, Pui-sze; Ho, Connie Suk-han; Chan, David Wai-ock; Chung, Kevin Kien-hoa; Wong, Yau-kai

    2013-01-01

    The relationships of reading-related skills (rapid naming, morphological awareness, syntactic skills, discourse skills, and verbal working memory) and word reading to reading comprehension were examined among 248 Chinese fourth graders in Hong Kong. Multiple regression analysis results showed that syntactic skills (word order knowledge,…

  5. A comprehensive experimental and modeling study of isobutene oxidation

    KAUST Repository

    Zhou, Chong-Wen

    2016-03-17

    Isobutene is an important intermediate in the pyrolysis and oxidation of higher-order branched alkanes, and it is also a component of commercial gasolines. To better understand its combustion characteristics, a series of ignition delay time (IDT) and laminar flame speed (LFS) measurements have been performed. In addition, flow reactor speciation data recorded for the pyrolysis and oxidation of isobutene is also reported. Predictions of an updated kinetic model described herein are compared with each of these data sets, as well as with existing jet-stirred reactor (JSR) species measurements. IDTs of isobutene oxidation were measured in four different shock tubes and in two rapid compression machines (RCMs) under conditions of relevance to practical combustors. The combination of shock tube and RCM data greatly expands the range of available validation data for isobutene oxidation models to pressures of 50 atm and temperatures in the range 666–1715 K. Isobutene flame speeds were measured experimentally at 1 atm and at unburned gas temperatures of 298–398 K over a wide range of equivalence ratios. For the flame speed results, there was good agreement between different facilities and the current model in the fuel-rich region. Ab initio chemical kinetics calculations were carried out to calculate rate constants for important reactions such as H-atom abstraction by hydroxyl and hydroperoxyl radicals and the decomposition of 2-methylallyl radicals. A comprehensive chemical kinetic mechanism has been developed to describe the combustion of isobutene and is validated by comparison to the presently considered experimental measurements. Important reactions, highlighted via flux and sensitivity analyses, include: (a) hydrogen atom abstraction from isobutene by hydroxyl and hydroperoxyl radicals, and molecular oxygen; (b) radical–radical recombination reactions, including 2-methylallyl radical self-recombination, the recombination of 2-methylallyl radicals with

  6. Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models

    International Nuclear Information System (INIS)

    Khalvati, Farzad; Wong, Alexander; Haider, Masoom A.

    2015-01-01

    Prostate cancer is the most common form of cancer and the second leading cause of cancer death in North America. Auto-detection of prostate cancer can play a major role in early detection of prostate cancer, which has a significant impact on patient survival rates. While multi-parametric magnetic resonance imaging (MP-MRI) has shown promise in diagnosis of prostate cancer, the existing auto-detection algorithms do not take advantage of abundance of data available in MP-MRI to improve detection accuracy. The goal of this research was to design a radiomics-based auto-detection method for prostate cancer via utilizing MP-MRI data. In this work, we present new MP-MRI texture feature models for radiomics-driven detection of prostate cancer. In addition to commonly used non-invasive imaging sequences in conventional MP-MRI, namely T2-weighted MRI (T2w) and diffusion-weighted imaging (DWI), our proposed MP-MRI texture feature models incorporate computed high-b DWI (CHB-DWI) and a new diffusion imaging modality called correlated diffusion imaging (CDI). Moreover, the proposed texture feature models incorporate features from individual b-value images. A comprehensive set of texture features was calculated for both the conventional MP-MRI and new MP-MRI texture feature models. We performed feature selection analysis for each individual modality and then combined best features from each modality to construct the optimized texture feature models. The performance of the proposed MP-MRI texture feature models was evaluated via leave-one-patient-out cross-validation using a support vector machine (SVM) classifier trained on 40,975 cancerous and healthy tissue samples obtained from real clinical MP-MRI datasets. The proposed MP-MRI texture feature models outperformed the conventional model (i.e., T2w+DWI) with regard to cancer detection accuracy. Comprehensive texture feature models were developed for improved radiomics-driven detection of prostate cancer using MP-MRI. Using a

  7. The effect of a rehabilitation nursing intervention model on improving the comprehensive health status of patients with hand burns.

    Science.gov (United States)

    Li, Lin; Dai, Jia-Xi; Xu, Le; Huang, Zhen-Xia; Pan, Qiong; Zhang, Xi; Jiang, Mei-Yun; Chen, Zhao-Hong

    2017-06-01

    To observe the effect of a rehabilitation intervention on the comprehensive health status of patients with hand burns. Most studies of hand-burn patients have focused on functional recovery. There have been no studies involving a biological-psychological-social rehabilitation model of hand-burn patients. A randomized controlled design was used. Patients with hand burns were recruited to the study, and sixty patients participated. Participants were separated into two groups: (1) The rehabilitation intervention model group (n=30) completed the rehabilitation intervention model, which included the following measures: enhanced social support, intensive health education, comprehensive psychological intervention, and graded exercise. (2) The control group (n=30) completed routine treatment. Intervention lasted 5 weeks. Analysis of variance (ANOVA) and Student's t test were conducted. The rehabilitation intervention group had significantly better scores than the control group for comprehensive health, physical function, psychological function, social function, and general health. The differences between the index scores of the two groups were statistically significant. The rehabilitation intervention improved the comprehensive health status of patients with hand burns and has favorable clinical application. The comprehensive rehabilitation intervention model used here provides scientific guidance for medical staff aiming to improve the integrated health status of hand-burn patients and accelerate their recovery. What does this paper contribute to the wider global clinical community? Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

  8. Developmental relations between vocabulary knowledge and reading comprehension: a latent change score modeling study.

    Science.gov (United States)

    Quinn, Jamie M; Wagner, Richard K; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, Mage = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and reading comprehension to test for the presence of leading and lagging influences. Univariate models indicated growth in vocabulary knowledge, and reading comprehension was determined by two parts: constant yearly change and change proportional to the previous level of the variable. Bivariate models indicated previous levels of vocabulary knowledge acted as leading indicators of reading comprehension growth, but the reverse relation was not found. Implications for theories of developmental relations between vocabulary and reading comprehension are discussed. © 2014 The Authors. Child Development © 2014 Society for Research in Child Development, Inc.

  9. The Mouse Tumor Biology Database: A Comprehensive Resource for Mouse Models of Human Cancer.

    Science.gov (United States)

    Krupke, Debra M; Begley, Dale A; Sundberg, John P; Richardson, Joel E; Neuhauser, Steven B; Bult, Carol J

    2017-11-01

    Research using laboratory mice has led to fundamental insights into the molecular genetic processes that govern cancer initiation, progression, and treatment response. Although thousands of scientific articles have been published about mouse models of human cancer, collating information and data for a specific model is hampered by the fact that many authors do not adhere to existing annotation standards when describing models. The interpretation of experimental results in mouse models can also be confounded when researchers do not factor in the effect of genetic background on tumor biology. The Mouse Tumor Biology (MTB) database is an expertly curated, comprehensive compendium of mouse models of human cancer. Through the enforcement of nomenclature and related annotation standards, MTB supports aggregation of data about a cancer model from diverse sources and assessment of how genetic background of a mouse strain influences the biological properties of a specific tumor type and model utility. Cancer Res; 77(21); e67-70. ©2017 AACR . ©2017 American Association for Cancer Research.

  10. Reading and writing with aphasia in the 21st century: technological applications of supported reading comprehension and written expression.

    Science.gov (United States)

    Dietz, Aimee; Ball, Angel; Griffith, Julie

    2011-01-01

    People with aphasia struggle to keep up with today's text-based communication, because of their reduced ability to comprehend and compose written messages. Therefore, the communication gap between people with aphasia and the communities around them continues to grow. The purpose of this article is to highlight the literature regarding supported reading comprehension and written expression techniques for people with aphasia and to discuss the role of these interventions in the context of Web-based communication and information sharing. This article presents an overview of compensatory strategies that support reading comprehension such as aphasia-friendly text principles, pairing text with highly contextualized pictures, the notion of reading ramps, and written expression supports including word prediction, speech-to-text, and voice banking. Additionally, ideas for integrating these strategies into Web-based communication and information-sharing applications are reviewed. Speech-language pathologists must consider available Web-based communication strategies during the aphasia rehabilitation process. In particular, interventions designed to support the reading comprehension and written expression of people with aphasia should be adapted to meet the increasing trend to utilize Web-based technology to maintain or redefine social roles following a stroke.

  11. Using Visual Strategies to Support Verbal Comprehension in an Adolescent with Down Syndrome

    Science.gov (United States)

    Lecas, Jean-Francois; Mazaud, Anne-Marie; Reibel, Esther; Rey, Arnaud

    2011-01-01

    It has been frequently reported that children with Down syndrome have deficits in verbal short-term memory while having relatively good performance in visual short-term memory tasks. Such verbal deficits have a detrimental effect on various high-level cognitive processes, most notably language comprehension. In this study, we report the case of an…

  12. Children's Mental Health as a Primary Care and Concern: A System for Comprehensive Support and Service

    Science.gov (United States)

    Tolan, Patrick H.; Dodge, Kenneth A.

    2005-01-01

    In response to the serious crisis in mental health care for children in the United States, this article proposes as a priority for psychology a comprehensive approach that treats mental health as a primary issue in child health and welfare. Consistent with the principles of a system of care and applying epidemiological, risk-development, and…

  13. Supporting nanomaterial risk assessment by case studies of nano-titanium dioxide using comprehensive environmental assessment

    Science.gov (United States)

    Here we describe a comprehensive environmental assessment (CEA) approach for two case studies of nano-titanium dioxide (nano-TiO2) in real world applications: water treatment and sunscreen. CEA combines a product life cycle framework with the risk assessment paradigm.

  14. Research on a Frame-Based Model of Reading Comprehension. Final Report.

    Science.gov (United States)

    Goldstein, Ira

    This report summarizes computational investigations of language comprehension based on Marvin Minsky's theory of frames, a recent advance in artifical intelligence theories about the representation of knowledge. The investigations discussed explored frame theory as a basis for text comprehension by implementing models of the theory and developing…

  15. The Flipped Classroom Model to Develop Egyptian EFL Students' Listening Comprehension

    Science.gov (United States)

    Ahmad, Samah Zakareya

    2016-01-01

    The present study aimed at investigating the effect of the flipped classroom model on Egyptian EFL students' listening comprehension. A one-group pre-posttest design was adopted. Thirty-four 3rd-year EFL students at the Faculty of Education, Suez University, were pretested on listening comprehension before the experiment and then posttested after…

  16. Perceived justice and popular support for public health laws: a case study around comprehensive smoke-free legislation in Mexico City.

    Science.gov (United States)

    Thrasher, James F; Besley, John C; González, Wendy

    2010-03-01

    The World Health Organization's Framework Convention on Tobacco Control promotes comprehensive smoke-free laws. The effective implementation of these laws requires citizen participation and support. Risk communication research suggests that citizens' perceptions of the fairness of smoke-free laws would help explain their support for the law. This study aimed to assess the factors that correlate with citizens' perceptions of the distributive, procedural and interpersonal justice of smoke-free laws, as well as how these perceptions are related to support for and intention to help enforce these laws. Study data came from a cross-sectional, population-based survey of 800 Mexico City inhabitants before a comprehensive smoke-free policy was implemented there in 2008. Structural equation modeling was used to estimate the bivariate and multivariate adjusted paths relating study variables. In the final multivariate model, the three justice concepts mediated the influence of smoking status, perceived dangers of secondhand smoke exposure, strength of home smoking ban, and perceived rights of smokers on the two distal constructs of support for smoke-free policy and intention to help enforce it. Statistically significant paths were estimated from distributive and procedural justice to support for the law and intention help enforce it. The path from interpersonal justice to support for the law was not significant, but the path to intention to help enforce the law was. Finally, the path from support for the law to the intention to enforce it was statistically significant. These results suggest that three distinct dimensions of perceived justice help explain citizen support for smoke-free policies. These dimensions of perceived justice may explain the conditions under which smoke-free policies are effectively implemented and could help shape the focus for communication strategies that aim to ensure effective implementation of this and other public health policies. 2009 Elsevier

  17. Pedagogical Model for Explicit Teaching of Reading Comprehension to English Language Learners

    Directory of Open Access Journals (Sweden)

    Al Tiyb Al Khaiyali

    2017-09-01

    Full Text Available Reading comprehension instruction is considered one of the major challenges that most English language teachers and students encounter. Therefore, providing a systematic, explicit, and flexible model to teaching reading comprehension strategies could help resolve some of these challenges and increase the possibility of teaching reading comprehension, particularly in language learners’ classrooms. Consequently, the purpose of this paper is to provide a model to teach reading comprehension strategies in language learning classrooms. The proposed instructional model is divided into three systematic phases through which strategies are taught before reading, during reading, and after reading. Each phase is explained and elaborated using recommended models for teachers. Finally, suggested considerations to consolidate this model are provided.

  18. 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...

  19. Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review

    Science.gov (United States)

    Fahimi, Farzad; Yaseen, Zaher Mundher; El-shafie, Ahmed

    2017-05-01

    Since the middle of the twentieth century, artificial intelligence (AI) models have been used widely in engineering and science problems. Water resource variable modeling and prediction are the most challenging issues in water engineering. Artificial neural network (ANN) is a common approach used to tackle this problem by using viable and efficient models. Numerous ANN models have been successfully developed to achieve more accurate results. In the current review, different ANN models in water resource applications and hydrological variable predictions are reviewed and outlined. In addition, recent hybrid models and their structures, input preprocessing, and optimization techniques are discussed and the results are compared with similar previous studies. Moreover, to achieve a comprehensive view of the literature, many articles that applied ANN models together with other techniques are included. Consequently, coupling procedure, model evaluation, and performance comparison of hybrid models with conventional ANN models are assessed, as well as, taxonomy and hybrid ANN models structures. Finally, current challenges and recommendations for future researches are indicated and new hybrid approaches are proposed.

  20. Knowledge-based and model-based hybrid methodology for comprehensive waste minimization in electroplating plants

    Science.gov (United States)

    Luo, Keqin

    1999-11-01

    The electroplating industry of over 10,000 planting plants nationwide is one of the major waste generators in the industry. Large quantities of wastewater, spent solvents, spent process solutions, and sludge are the major wastes generated daily in plants, which costs the industry tremendously for waste treatment and disposal and hinders the further development of the industry. It becomes, therefore, an urgent need for the industry to identify technically most effective and economically most attractive methodologies and technologies to minimize the waste, while the production competitiveness can be still maintained. This dissertation aims at developing a novel WM methodology using artificial intelligence, fuzzy logic, and fundamental knowledge in chemical engineering, and an intelligent decision support tool. The WM methodology consists of two parts: the heuristic knowledge-based qualitative WM decision analysis and support methodology and fundamental knowledge-based quantitative process analysis methodology for waste reduction. In the former, a large number of WM strategies are represented as fuzzy rules. This becomes the main part of the knowledge base in the decision support tool, WMEP-Advisor. In the latter, various first-principles-based process dynamic models are developed. These models can characterize all three major types of operations in an electroplating plant, i.e., cleaning, rinsing, and plating. This development allows us to perform a thorough process analysis on bath efficiency, chemical consumption, wastewater generation, sludge generation, etc. Additional models are developed for quantifying drag-out and evaporation that are critical for waste reduction. The models are validated through numerous industrial experiments in a typical plating line of an industrial partner. The unique contribution of this research is that it is the first time for the electroplating industry to (i) use systematically available WM strategies, (ii) know quantitatively and

  1. Predictability of locomotion: Effects on updating of spatial situation models during narrative comprehension

    NARCIS (Netherlands)

    Dutke, S.; Rinck, M.

    2006-01-01

    We investigated how the updating of spatial situation models during narrative comprehension depends on the interaction of cognitive abilities and text characteristics. Participants with low verbal and visuospatial abilities and participants with high abilities read narratives in which the

  2. Support for a comprehensive background check requirement and expanded denial criteria for firearm transfers: findings from the firearms licensee survey.

    Science.gov (United States)

    Wintemute, Garen J

    2014-04-01

    Federal and state policies on eligibility to purchase and possess firearms and background check requirements for firearm transfers are undergoing intensive review and, in some cases, modification. Our objective in this third report from the Firearms Licensee Survey (FLS) is to assess support among federally licensed firearms retailers (gun dealers and pawnbrokers) for a background check requirement on all firearm transfers and selected criteria for denying the purchase of handguns based on criminal convictions, alcohol abuse, and serious mental illness. The FLS was conducted by mail during June-August, 2011 on a random sample of 1,601 licensed dealers and pawnbrokers in 43 states who were believed to sell at least 50 firearms annually. The response rate was 36.9%, typical of establishment surveys using such methods. Most respondents (55.4%) endorsed a comprehensive background check requirement; 37.5% strongly favored it. Support was more common and stronger among pawnbrokers than dealers and among respondents who believed that "it is too easy for criminals to get guns." Support was positively associated with many establishment characteristics, including sales of inexpensive handguns, sales that were denied when the purchasers failed background checks, and sales of firearms that were later subjected to ownership tracing, and were negatively associated with sales at gun shows. Support for three existing and nine potential criteria for denial of handgun purchase involving criminal activity, alcohol abuse, and mental illness exceeded 90% in six cases and fell below 2/3 in one. Support again increased with sales of inexpensive handguns and denied sales and decreased with sales of tactical (assault-type) rifles. In this survey, which was conducted prior to mass shootings in Aurora, Colorado; Oak Creek, Wisconsin; Newtown, Connecticut; and elsewhere, licensed firearm sellers exhibited moderate support for a comprehensive background check requirement and very strong

  3. Contribution of Word Reading Speed to Reading Comprehension in Brazilian Children: Does Speed Matter to the Comprehension Model?

    Directory of Open Access Journals (Sweden)

    Alessandra G. Seabra

    2017-04-01

    Full Text Available Studies have suggested that reading speed (RS or fluency should be a component of reading comprehension (RC models. There is also evidence of a relationship between RS and RC. However, some questions remain to be explored, as the changes in such a relationship may be a function of development. In addition, while there are studies published with English speakers and learners, less evidence exists in more transparent orthographies, such as Portuguese. This study investigated the relationship between RC and RS in typical readers. Objectives included elucidating the following: (1 the contribution of RS to RC controlling for intelligence, word recognition, and listening and (2 the differential relationships and contributions of RS to comprehension in different school grades. The sample of participants comprised 212 students (M = 8.76; SD = 1.06 from 2nd to 4th grade. We assessed intelligence, word recognition, word RS, listening, and RC. Performance in all tests increased as a function of grade. There were significant connections between RC and all other measures. Nonetheless, the regression analysis revealed that word RS has a unique contribution to RC after controlling for intelligence, word recognition, and listening, with a very modest but significant improvement in the explanatory power of the model. We found a significant relationship between RS and RC only for 4th grade and such relationship becomes marginal after controlling for word recognition. The findings suggest that RS could contribute to RC in Portuguese beyond the variance shared with listening and, mainly, word recognition, but such a contribution was very small. The data also reveal a differential relationship between RS and RC in different school grades; specifically, only for the 4th grade does RS begins to relate to RC. The findings add a developmental perspective to the study of reading models.

  4. Comprehensive risk assessment for rail transportation of dangerous goods: a validated platform for decision support

    International Nuclear Information System (INIS)

    Gheorghe, Adrian V.; Birchmeier, Juerg; Vamanu, Dan; Papazoglou, Ioannis; Kroeger, Wolfgang

    2005-01-01

    Currently, the most advanced and well documented risk assessments for the transportation of dangerous goods by railway take into account:(i)statistics-based loss of containment frequencies, (ii) specification of potential consequences for a given release situations using event tree methodology as an organisational tool and (iii) consequence calculation models to determine a risk figure known as CCDF (Complementary Cumulative Distribution Function). Such procedures for the risk assessment (including for example decision-making on preventive measures) may offer only a limited insight into the causes and sequences leading to an accident and do not allow for any kind of predictive analysis. The present work introduces an enhanced solution, and a related software platform, which attempts to integrate loss of containment causes and consequences with system's infrastructure and its environment. The solution features:(i)the use of a detailed Master Logical Diagram, including fault/event tree analysis to determine a loss of containment frequency based on different initiating events, scenarios and specific basic data, (ii) the characterization of a resulting source term following a release situation, and (iii) the calculation of various potential impacts on the neighbouring site. Results are wrapped into a CCDF format for each selected traffic segment. The risk-related results are integrated on a software platform, structured as a decision support system using intelligent maps and a variety of GIS (Geographical Information System) data processing procedures. The introduction of the hot spot approach, allows us to focus on the most risk-relevant areas and to use information on various railway infrastructure elements (e.g. points, tunnels), are the basis of the new models employed. The software is applicable to any railway transportation system, comprising its technical infrastructure, rolling stock, human actions, regulation and management procedures. It provides the

  5. Scenario Generation and Assessment Framework Solution in Support of the Comprehensive Approach

    Science.gov (United States)

    2010-04-01

    Rademaker, M. OR Support to Force and Operations Planning in the New Security Environment - NATO SfP 981149, Final Report, April, 2008. [8...Support Integrated Security Sector in Bulgaria, International Conference for Security and Defence Industrial R&D, NATO SfP 982063 “Management of Security

  6. 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.

  7. A comprehensive multi-local-world model for complex networks

    International Nuclear Information System (INIS)

    Fan Zhengping; Chen Guanrong; Zhang Yunong

    2009-01-01

    The nodes in a community within a network are much more connected to each other than to the others outside the community in the same network. This phenomenon has been commonly observed from many real-world networks, ranging from social to biological even to technical networks. Meanwhile, the number of communities in some real-world networks, such as the Internet and most social networks, are evolving with time. To model this kind of networks, the present Letter proposes a multi-local-world (MLW) model to capture and describe their essential topological properties. Based on the mean-field theory, the degree distribution of this model is obtained analytically, showing that the generated network has a novel topological feature as being not completely random nor completely scale-free but behaving somewhere between them. As a typical application, the MLW model is applied to characterize the Internet against some other models such as the BA, GBA, Fitness and HOT models, demonstrating the superiority of the new model.

  8. A comprehensive gaze stabilization controller based on cerebellar internal models

    DEFF Research Database (Denmark)

    Vannucci, Lorenzo; Falotico, Egidio; Tolu, Silvia

    2017-01-01

    based on the coordination of VCR and VOR and OKR. The model, inspired by neuroscientific cerebellar theories, is provided with learning and adaptation capabilities based on internal models. We present the results for the gaze stabilization model on three sets of experiments conducted on the SABIAN robot...... and on the iCub simulator, validating the robustness of the proposed control method. The first set of experiments focused on the controller response to a set of disturbance frequencies along the vertical plane. The second shows the performances of the system under three-dimensional disturbances. The last set...

  9. Practical Modeling and Comprehensive System Identification of a BLDC Motor

    Directory of Open Access Journals (Sweden)

    Changle Xiang

    2015-01-01

    Full Text Available The aim of this paper is to outline all the steps in a rigorous and simple procedure for system identification of BLDC motor. A practical mathematical model for identification is derived. Frequency domain identification techniques and time domain estimation method are combined to obtain the unknown parameters. The methods in time domain are founded on the least squares approximation method and a disturbance observer. Only the availability of experimental data for rotor speed and armature current are required for identification. The proposed identification method is systematically investigated, and the final identified model is validated by experimental results performed on a typical BLDC motor in UAV.

  10. A dual-factor model of mental health: toward a more comprehensive understanding of youth functioning.

    Science.gov (United States)

    Antaramian, Susan P; Scott Huebner, E; Hills, Kimberly J; Valois, Robert F

    2010-10-01

    Traditional mental health models focus on psychological problems and distress; accordingly, health is viewed as the absence of illness or disability. In contrast, a dual-factor model of mental health incorporates both indicators of positive subjective well-being (SWB) and measures of psychopathological symptoms to comprehensively determine an individual's psychological adjustment. This study used such a dual-factor model to measure the mental health status of young adolescents. A total of 764 middle school students were classified into one of four distinct groups based on having high or low psychopathology and high or low SWB. Furthermore, group differences in student engagement, academic achievement, and environmental support for learning were investigated. Results demonstrated the existence of a traditionally neglected group of adolescents (low SWB and low psychopathology) who are nonetheless at risk for academic and behavior problems in school and who performed no better than the most troubled group of adolescents. Overall, both the presence of positive well-being and the absence of symptoms were necessary for ensuring the most advantageous school performance. These results highlight the importance of incorporating positive indicators of well-being along with traditional negative factors in more fully understanding relationships between individuals' mental health and educational outcomes. © 2010 American Orthopsychiatric Association.

  11. Extending comprehensive models of the Earth's magnetic field with Orsted and CHAMP data

    DEFF Research Database (Denmark)

    Sabaka, T.J.; Olsen, Nils; Purucker, M.E.

    2004-01-01

    A new model of the quiet-time, near-Earth magnetic field has been derived using a comprehensive approach, which includes not only POGO and Magsat satellite data, but also data from the Orsted and CHAMP satellites. The resulting model shows great improvement over its predecessors in terms of compl......A new model of the quiet-time, near-Earth magnetic field has been derived using a comprehensive approach, which includes not only POGO and Magsat satellite data, but also data from the Orsted and CHAMP satellites. The resulting model shows great improvement over its predecessors in terms...

  12. Advances in Violence and Trauma: Toward Comprehensive Ecological Models

    Science.gov (United States)

    Hughes, Honore M.; Humphrey, Natalie N.; Weaver, Terri L.

    2005-01-01

    The most important things learned about violence and trauma in the past 20 years are that interpersonal violence is prevalent, with different forms co-occurring, and that victims' reactions are complex. Researchers are called to consider models that include the ecological context within which victims experience violence and trauma to gain a better…

  13. Comprehensive modeling of ion-implant amorphization in silicon

    International Nuclear Information System (INIS)

    Mok, K.R.C.; Jaraiz, M.; Martin-Bragado, I.; Rubio, J.E.; Castrillo, P.; Pinacho, R.; Srinivasan, M.P.; Benistant, F.

    2005-01-01

    A physically based model has been developed to simulate the ion-implant induced damage accumulation up to amorphization in silicon. Based on damage structures known as amorphous pockets (AP), which are three-dimensional, irregularly shaped agglomerates of interstitials (I) and vacancies (V) surrounded by crystalline silicon, the model is able to reproduce a wide range of experimental observations of damage accumulation and amorphization with interdependent implantation parameters. Instead of recrystallizing the I's and V's instantaneously, the recrystallization rate of an AP containing nI and mV is a function of its effective size, defined as min(n, m), irrespective of its internal spatial configuration. The parameters used in the model were calibrated using the experimental silicon amorphous-crystalline transition temperature as a function of dose rate for C, Si, and Ge. The model is able to show the superlinear damage build-up with dose, the extent of amorphous layer and the superadditivity effect of polyatomic ions

  14. A comprehensive three-dimensional model of the cochlea

    International Nuclear Information System (INIS)

    Givelberg, Edward; Bunn, Julian

    2003-01-01

    The human cochlea is a remarkable device, able to discern extremely small amplitude sound pressure waves, and discriminate between very close frequencies. Simulation of the cochlea is computationally challenging due to its complex geometry, intricate construction and small physical size. We have developed, and are continuing to refine, a detailed three-dimensional computational model based on an accurate cochlear geometry obtained from physical measurements. In the model, the immersed boundary method is used to calculate the fluid-structure interactions produced in response to incoming sound waves. The model includes a detailed and realistic description of the various elastic structures present. In this paper, we describe the computational model and its performance on the latest generation of shared memory servers from Hewlett Packard. Using compiler generated threads and OpenMP directives, we have achieved a high degree of parallelism in the executable, which has made possible several large scale numerical simulation experiments that study the interesting features of the cochlear system. We show several results from these simulations, reproducing some of the basic known characteristics of cochlear mechanics

  15. A Comprehensive X-Ray Absorption Model for Atomic Oxygen

    NARCIS (Netherlands)

    Gorzyca, T.W.; Bautista, M.A.; Hasoglu, M.F.; García, J.; Gatuzz, E.; Kaastra, J.S.; Kallman, T.R.; Manson, S.T.; Mendoza, C.; Raassen, A.J.J.; de Vries, C.P.; Zatsarinny, O.

    2013-01-01

    An analytical formula is developed to accurately represent the photoabsorption cross section of O I for all energies of interest in X-ray spectral modeling. In the vicinity of the K edge, a Rydberg series expression is used to fit R-matrix results, including important orbital relaxation effects,

  16. Empirical validity for a comprehensive model on educational effectiveness

    NARCIS (Netherlands)

    Reezigt, G.J.; Guldemond, H.; Creemers, B.P.M.

    Educational effectiveness research is often criticised because of the absence of a theoretical background. In our study we started out from an educational effectiveness model which was developed on the basis of educational theories and empirical evidence. We have tested the main assumptions of the

  17. A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

    Directory of Open Access Journals (Sweden)

    Wang Lily

    2008-07-01

    Full Text Available Abstract Background Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular signatures on their way toward clinical deployment. Use of the most accurate classification algorithms available for microarray gene expression data is a critical ingredient in order to develop the best possible molecular signatures for patient care. As suggested by a large body of literature to date, support vector machines can be considered "best of class" algorithms for classification of such data. Recent work, however, suggests that random forest classifiers may outperform support vector machines in this domain. Results In the present paper we identify methodological biases of prior work comparing random forests and support vector machines and conduct a new rigorous evaluation of the two algorithms that corrects these limitations. Our experiments use 22 diagnostic and prognostic datasets and show that support vector machines outperform random forests, often by a large margin. Our data also underlines the importance of sound research design in benchmarking and comparison of bioinformatics algorithms. Conclusion We found that both on average and in the majority of microarray datasets, random forests are outperformed by support vector machines both in the settings when no gene selection is performed and when several popular gene selection methods are used.

  18. A Comprehensive Assessment Model for Critical Infrastructure Protection

    Directory of Open Access Journals (Sweden)

    Häyhtiö Markus

    2017-12-01

    Full Text Available International business demands seamless service and IT-infrastructure throughout the entire supply chain. However, dependencies between different parts of this vulnerable ecosystem form a fragile web. Assessment of the financial effects of any abnormalities in any part of the network is demanded in order to protect this network in a financially viable way. Contractual environment between the actors in a supply chain, different business domains and functions requires a management model, which enables a network wide protection for critical infrastructure. In this paper authors introduce such a model. It can be used to assess financial differences between centralized and decentralized protection of critical infrastructure. As an end result of this assessment business resilience to unknown threats can be improved across the entire supply chain.

  19. Mental Models for Mechanical Comprehension. A Review of Literature.

    Science.gov (United States)

    1986-06-01

    constructionists are concerned with how mental models are formed. Jean Piaget , the first constructionist (for a review, see Piaget , 1970), conceptualized mental...fact about the world without change in the structures, Piaget says the child had assimilated the information. If, on the other hand, a child’s structures...cannot assimilate the new fact in the present form, then the structures must change. Piaget calls this process accommodation. Taken together, these

  20. A comprehensive experimental and modeling study of 2-methylbutanol combustion

    KAUST Repository

    Park, Sungwoo

    2015-05-01

    2-Methylbutanol (2-methyl-1-butanol) is one of several next-generation biofuels that can be used as an alternative fuel or blending component for combustion engines. This paper presents new experimental data for 2-methylbutanol, including ignition delay times in a high-pressure shock tube and premixed laminar flame speeds in a constant volume combustion vessel. Shock tube ignition delay times were measured for 2-methylbutanol/air mixtures at three equivalence ratios, temperatures ranging from 750 to 1250. K, and at nominal pressures near 20 and 40. bar. Laminar flame speed data were obtained using the spherically propagating premixed flame configuration at pressures of 1, 2, and 5. bar. A detailed chemical kinetic model for 2-methylbutanol oxidation was developed including high- and low-temperature chemistry based on previous modeling studies on butanol and pentanol isomers. The proposed model was tested against new and existing experimental data at pressures of 1-40. atm, temperatures of 740-1636. K, equivalence ratios of 0.25-2.0. Reaction path and sensitivity analyses were conducted for identifying key reactions at various combustion conditions, and to obtain better understanding of the combustion characteristics of larger alcohols.

  1. A Comprehensive X-Ray Absorption Model for Atomic Oxygen

    Science.gov (United States)

    Gorczyca, T. W.; Bautista, M. A.; Hasoglu, M. F.; Garcia, J.; Gatuzz, E.; Kaastra, J. S.; Kallman, T. R.; Manson, S. T.; Mendoza, C.; Raassen, A. J. J.; hide

    2013-01-01

    An analytical formula is developed to accurately represent the photoabsorption cross section of atomic Oxygen for all energies of interest in X-ray spectral modeling. In the vicinity of the K edge, a Rydberg series expression is used to fit R-matrix results, including important orbital relaxation effects, that accurately predict the absorption oscillator strengths below threshold and merge consistently and continuously to the above-threshold cross section. Further, minor adjustments are made to the threshold energies in order to reliably align the atomic Rydberg resonances after consideration of both experimental and observed line positions. At energies far below or above the K-edge region, the formulation is based on both outer- and inner-shell direct photoionization, including significant shake-up and shake-off processes that result in photoionization-excitation and double-photoionization contributions to the total cross section. The ultimate purpose for developing a definitive model for oxygen absorption is to resolve standing discrepancies between the astronomically observed and laboratory-measured line positions, and between the inferred atomic and molecular oxygen abundances in the interstellar medium from XSTAR and SPEX spectral models.

  2. Comprehensive Analysis of Chicken Vessels as Microvascular Anastomosis Training Model

    Directory of Open Access Journals (Sweden)

    Bo Young Kang

    2017-01-01

    Full Text Available BackgroundNonliving chickens are commonly used as a microvascular anastomosis training model. However, previous studies have investigated only a few types of vessel, and no study has compared the characteristics of the various vessels. The present study evaluated the anatomic characteristics of various chicken vessels as a training model.MethodsEight vessels—the brachial artery, basilic vein, radial artery, ulnar artery, ischiatic artery and vein, cranial tibial artery, and common dorsal metatarsal artery—were evaluated in 26 fresh chickens and 30 chicken feet for external diameter (ED and thicknesses of the tunica adventitia and media. The dissection time from skin incision to application of vessel clamps was also measured.ResultsThe EDs of the vessels varied. The ischiatic vein had the largest ED of 2.69±0.33 mm, followed by the basilic vein (1.88±0.36 mm, ischiatic artery (1.68±0.24 mm, common dorsal metatarsal artery (1.23±0.23 mm, cranial tibial artery (1.18±0.19 mm, brachial artery (1.08±0.15 mm, ulnar artery (0.82±0.13 mm, and radial artery (0.56±0.12 mm, and the order of size was consistent across all subjects. Thicknesses of the tunica adventitia and media were also diverse, ranging from 74.09±19.91 µm to 158.66±40.25 µm (adventitia and from 31.2±7.13 µm to 154.15±46.48 µm (media, respectively. Mean dissection time was <3 minutes for all vessels.ConclusionsOur results suggest that nonliving chickens can provide various vessels with different anatomic characteristics, which can allow trainees the choice of an appropriate microvascular anastomosis training model depending on their purpose and skillfulness.

  3. Parametrization of contrails in a comprehensive climate model

    Energy Technology Data Exchange (ETDEWEB)

    Ponater, M.; Brinkop, S.; Sausen, R.; Schumann, U. [Deutsche Forschungs- und Versuchsanstalt fuer Luft- und Raumfahrt e.V., Oberpfaffenhofen (Germany). Inst. fuer Physik der Atmosphaere

    1997-12-31

    A contrail parametrization scheme for a general circulation model (GCM) is presented. Guidelines for its development were that it should be based on the thermodynamic theory of contrail formation and that it should be consistent with the cloud parametrization scheme of the GCM. Results of a six-year test integration indicate reasonable results concerning the spatial and temporal development of both contrail coverage and contrail optical properties. Hence, the scheme forms a promising basis for the quantitative estimation of the contrail climatic impact. (author) 9 refs.

  4. CAN “THE IDEAL” ECONOMIC MODELS BE CONSIDERED COMPREHENSIBLE ?!

    Directory of Open Access Journals (Sweden)

    A.A. Kuklin

    2006-03-01

    Full Text Available This article opens the cycle of authors’ publications on the questions of theoretical approaches and representations of systems’ economics development. Digression of origin and development of social-economical formations is given. The attempt to consider the transformation of systems’ economics with the consideration of latent dynamic characteristics, to reveal the laws of structural-genetic and functional attribute of changing economy forming was made. Also it is offered to consider the models of systems’ economics transformation and their influence on territorial economic safety of different level.

  5. Virtual Ribosome - a comprehensive DNA translation tool with support for integration of sequence feature annotation

    DEFF Research Database (Denmark)

    Wernersson, Rasmus

    2006-01-01

    Virtual Ribosome is a DNA translation tool with two areas of focus. ( i) Providing a strong translation tool in its own right, with an integrated ORF finder, full support for the IUPAC degenerate DNA alphabet and all translation tables defined by the NCBI taxonomy group, including the use...

  6. Supporting at-risk learners at a comprehensive university in South ...

    African Journals Online (AJOL)

    This indicates that support offered by the Learning Development Unit develops the capabilities and competencies of academically at-risk learners. It is important to note that the LD unit does not pursue graduate outputs and notions of success rates but focuses on enabling at-risk students, allowing them to engage in more ...

  7. FLS and FES: comprehensive models of training and assessment.

    Science.gov (United States)

    Vassiliou, Melina C; Dunkin, Brian J; Marks, Jeffrey M; Fried, Gerald M

    2010-06-01

    The Fundamentals of Laparoscopic surgery (FLS) is a validated program for the teaching and evaluation of the basic knowledge and skills required to perform laparoscopic surgery. The educational component includes didactic, Web-based material and a simple, affordable physical simulator with specific tasks and a recommended curriculum. FLS certification requires passing a written multiple-choice examination and a proctored manual skills examination in the FLS simulator. The metrics for the FLS program have been rigorously validated to meet the highest educational standards, and certification is now a requirement for the American Board of Surgery. This article summarizes the validation process and the FLS-related research that has been done to date. The Fundamentals of Endoscopic Surgery is a program modeled after FLS with a similar mission for flexible endoscopy. It is currently in the final stages of development and will be launched in April 2010. The program also includes learning and assessment components, and is undergoing the same meticulous validation process as FLS. These programs serve as models for the creation of simulation-based tools to teach skills and assess competence with the intention of optimizing patient safety and the quality of surgical education. Copyright 2010 Elsevier Inc. All rights reserved.

  8. Comprehensive Test Ban Treaty (CTBT) Verification research in support of non-proliferation

    International Nuclear Information System (INIS)

    Linger, D.

    1997-01-01

    The Comprehensive Test Ban Treaty (CTBT) prohibits nuclear weapons testing at any yield. The detection and positive identification of any evasive test presents a challenge to the technical community, however. Low yield testing can be masked by normal background seismic noise or permissible chemical explosions for mining or other purposes. Cavity decoupling can reduce the seismic signal from the nuclear explosion by a factor of 50 or more. The combination of decoupling and high explosive masking represents a particular technical challenge for positive identification. To address this problem, a technical program in cooperation with the Kazakhstan National Nuclear Center has been initiated to conduct a series of tests in the Balapan area of the Semipalatinsk Test Site to provide fundamental data on the depth of burial effects on seismic signals emanating from an explosion. If the depth of burial can be positively determined from the characteristics of the seismic waveform, near-surface mining blasts can be distinguished from deep underground evasive nuclear explosions, thus eliminating the capability to easily mask the nuclear event. This paper will briefly describe the basic concepts of some evasive nuclear testing options and discuss the cooperative test program that is being carried out to improve the capability to positively identify such tests. The paper will also discuss possible additional cooperative tests that might be done in 1998 to further improve the identification capability

  9. A comprehensive mechanistic model for simulating algal growth dynamics in photobioreactors.

    Science.gov (United States)

    Shriwastav, Amritanshu; Thomas, Jeenu; Bose, Purnendu

    2017-06-01

    A comprehensive mechanistic model for describing algal growth dynamics in a photobioreactor was developed in this work with state of the art understanding and realistic assumptions for major associated processes. The model included 27 state variables related to various algal processes. This model was validated with extensive experimental data obtained from independent growth experiments in batch reactors, and was able to simulate system performance reasonably well. The comprehensive nature of the formulation also highlights the complex inter-relationship between all processes, and provides a tool for gaining more systematic insights into algal behavior in photobioreactors and other such systems. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Investigation on the governance model and effect of medical schools merged with comprehensive universities in China.

    Science.gov (United States)

    Bai, Ge; Luo, Li

    2013-08-01

    This investigation analyzes the management of medical schools merged with comprehensive universities through internet search and research review to reveal management model and effect of the merger. The conclusion is safely reached that governance models are divided into two different patterns: centralized management and decentralized management. Eight universities, representing the two models, were selected and evaluated comprehensively. Among them, the universities that carried out decentralized management have greater development after the merger based on a quality comparison concerning freshmen, faculty, teaching, and research between the two patterns. © 2013 Wiley Publishing Asia Pty Ltd and Chinese Cochrane Center, West China Hospital of Sichuan University.

  11. Decision support models for natural gas dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Chin, L. (Bentley College, Waltham, MA (United States)); Vollmann, T.E. (International Inst. for Management Development, Lausanne (Switzerland))

    A decision support model is presented which will give utilities the support tools to manage the purchasing of natural gas supplies in the most cost effective manner without reducing winter safety stocks to below minimum levels. In Business As Usual (BAU) purchasing quantities vary with the daily forecasts. With Material Requirements Planning (MRP) and Linear Programming (LP), two types of factors are used: seasonal weather and decision rule. Under current practices, BAU simulation uses the least expensive gas source first, then adding successively more expensive sources. Material Requirements Planning is a production planning technique which uses a parent item master production schedule to determine time phased requirements for component points. Where the MPS is the aggregate gas demand forecasts for the contract year. This satisfies daily demand with least expensive gas and uses more expensive when necessary with automatic computation of available-to-promise (ATP) gas a dispacher knows daily when extra gas supplies may be ATP. Linear Programming is a mathematical algorithm used to determine optimal allocations of scarce resources to achieve a desired result. The LP model determines optimal daily gas purchase decisions with respect to supply cost minimization. Using these models, it appears possible to raise gross income margins 6 to 10% with minimal additions of customers and no new gas supply.

  12. Decision support models for natural gas dispatch

    International Nuclear Information System (INIS)

    Chin, L.; Vollmann, T.E.

    1992-01-01

    A decision support model is presented which will give utilities the support tools to manage the purchasing of natural gas supplies in the most cost effective manner without reducing winter safety stocks to below minimum levels. In Business As Usual (BAU) purchasing quantities vary with the daily forecasts. With Material Requirements Planning (MRP) and Linear Programming (LP), two types of factors are used: seasonal weather and decision rule. Under current practices, BAU simulation uses the least expensive gas source first, then adding successively more expensive sources. Material Requirements Planning is a production planning technique which uses a parent item master production schedule to determine time phased requirements for component points. Where the MPS is the aggregate gas demand forecasts for the contract year. This satisfies daily demand with least expensive gas and uses more expensive when necessary with automatic computation of available-to-promise (ATP) gas a dispacher knows daily when extra gas supplies may be ATP. Linear Programming is a mathematical algorithm used to determine optimal allocations of scarce resources to achieve a desired result. The LP model determines optimal daily gas purchase decisions with respect to supply cost minimization. Using these models, it appears possible to raise gross income margins 6 to 10% with minimal additions of customers and no new gas supply

  13. Comprehensive Study of the Model Mercury-Based Cuprate Superconductors

    Energy Technology Data Exchange (ETDEWEB)

    Greven, Martin [Univ. of Minnesota, Minneapolis, MN (United States)

    2017-11-13

    colloquia or seminars, and three postdoctoral researchers, six PhD graduate students and nine undergraduate researchers were supported wholly or in part in the pursuit of the scientific topics of this award. This report summarizes the activity and productivity, lists highlights, publications and conference presentations, postdocs, students and collaborators. A balance of zero remained at the close of the grant.

  14. A Comprehensive LVRT Control Strategy for DFIG Wind Turbines With Enhanced Reactive Power Support

    DEFF Research Database (Denmark)

    Xie, Dongliang; Xu, Zhao; Yang, Lihui

    2013-01-01

    The paper presents a new control strategy to enhance the ability of reactive power support of a doubly fed induction generator (DFIG) based wind turbine during serious voltage dips. The proposed strategy is an advanced low voltage ride through (LVRT) control scheme, with which a part of the captu......The paper presents a new control strategy to enhance the ability of reactive power support of a doubly fed induction generator (DFIG) based wind turbine during serious voltage dips. The proposed strategy is an advanced low voltage ride through (LVRT) control scheme, with which a part......'s excessive inertia energy into the grid. Based on these designs, the DFIG's reactive power capacity on the stator and the grid side converter is handled carefully to satisfy the new grid code requirements strictly. Simulation studies are presented and discussed....

  15. Characterization of the cardiac Na+/K+ pump by development of a comprehensive and mechanistic model.

    Science.gov (United States)

    Oka, Chiaki; Cha, Chae Young; Noma, Akinori

    2010-07-07

    A large amount of experimental data on the characteristics of the cardiac Na(+)/K(+) pump have been accumulated, but it remains difficult to predict the quantitative contribution of the pump in an intact cell because most measurements have been made under non-physiological conditions. To extrapolate the experimental findings to intact cells, we have developed a comprehensive Na(+)/K(+) pump model based on the thermodynamic framework (Smith and Crampin, 2004) of the Post-Albers reaction cycle combined with access channel mechanisms. The new model explains a variety of experimental results for the Na(+)/K(+) pump current (I(NaK)), including the dependency on the concentrations of Na(+) and K(+), the membrane potential and the free energy of ATP hydrolysis. The model demonstrates that both the apparent affinity and the slope of the substrate-I(NaK) relationship measured experimentally are affected by the composition of ions in the extra- and intracellular solutions, indirectly through alteration in the probability distribution of individual enzyme intermediates. By considering the voltage dependence in the Na(+)- and K(+)-binding steps, the experimental voltage-I(NaK) relationship could be reconstructed with application of experimental ionic compositions in the model, and the view of voltage-dependent K(+) binding was supported. Re-evaluation of charge movements accompanying Na(+) and K(+) translocations gave a reasonable number for the site density of the Na(+)/K(+) pump on the membrane. The new model is relevant for simulation of cellular functions under various interventions, such as depression of energy metabolism. (c) 2010 Elsevier Ltd. All rights reserved.

  16. Comprehensive model for predicting elemental composition of coal pyrolysis products

    Energy Technology Data Exchange (ETDEWEB)

    Ricahrds, Andrew P. [Brigham Young Univ., Provo, UT (United States); Shutt, Tim [Brigham Young Univ., Provo, UT (United States); Fletcher, Thomas H. [Brigham Young Univ., Provo, UT (United States)

    2017-04-23

    Large-scale coal combustion simulations depend highly on the accuracy and utility of the physical submodels used to describe the various physical behaviors of the system. Coal combustion simulations depend on the particle physics to predict product compositions, temperatures, energy outputs, and other useful information. The focus of this paper is to improve the accuracy of devolatilization submodels, to be used in conjunction with other particle physics models. Many large simulations today rely on inaccurate assumptions about particle compositions, including that the volatiles that are released during pyrolysis are of the same elemental composition as the char particle. Another common assumption is that the char particle can be approximated by pure carbon. These assumptions will lead to inaccuracies in the overall simulation. There are many factors that influence pyrolysis product composition, including parent coal composition, pyrolysis conditions (including particle temperature history and heating rate), and others. All of these factors are incorporated into the correlations to predict the elemental composition of the major pyrolysis products, including coal tar, char, and light gases.

  17. Exploring a Comprehensive Model for Early Childhood Vocabulary Instruction: A Design Experiment

    Science.gov (United States)

    Wang, X. Christine; Christ, Tanya; Chiu, Ming Ming

    2014-01-01

    Addressing a critical need for effective vocabulary practices in early childhood classrooms, we conducted a design experiment to achieve three goals: (1) developing a comprehensive model for early childhood vocabulary instruction, (2) examining the effectiveness of this model, and (3) discerning the contextual conditions that hinder or facilitate…

  18. Developmental Relations between Vocabulary Knowledge and Reading Comprehension: A Latent Change Score Modeling Study

    Science.gov (United States)

    Quinn, Jamie M.; Wagner, Richard K.; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, M[subscript age] = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and…

  19. A multimedia comprehensive informatics system with decision support tools for a multi-site collaboration research of stroke rehabilitation

    Science.gov (United States)

    Wang, Ximing; Documet, Jorge; Garrison, Kathleen A.; Winstein, Carolee J.; Liu, Brent

    2012-02-01

    Stroke is a major cause of adult disability. The Interdisciplinary Comprehensive Arm Rehabilitation Evaluation (I-CARE) clinical trial aims to evaluate a therapy for arm rehabilitation after stroke. A primary outcome measure is correlative analysis between stroke lesion characteristics and standard measures of rehabilitation progress, from data collected at seven research facilities across the country. Sharing and communication of brain imaging and behavioral data is thus a challenge for collaboration. A solution is proposed as a web-based system with tools supporting imaging and informatics related data. In this system, users may upload anonymized brain images through a secure internet connection and the system will sort the imaging data for storage in a centralized database. Users may utilize an annotation tool to mark up images. In addition to imaging informatics, electronic data forms, for example, clinical data forms, are also integrated. Clinical information is processed and stored in the database to enable future data mining related development. Tele-consultation is facilitated through the development of a thin-client image viewing application. For convenience, the system supports access through desktop PC, laptops, and iPAD. Thus, clinicians may enter data directly into the system via iPAD while working with participants in the study. Overall, this comprehensive imaging informatics system enables users to collect, organize and analyze stroke cases efficiently.

  20. Comprehensive mechanisms for combustion chemistry: Experiment, modeling, and sensitivity analysis

    Energy Technology Data Exchange (ETDEWEB)

    Dryer, F.L.; Yetter, R.A. [Princeton Univ., NJ (United States)

    1993-12-01

    This research program is an integrated experimental/numerical effort to study pyrolysis and oxidation reactions and mechanisms for small-molecule hydrocarbon structures under conditions representative of combustion environments. The experimental aspects of the work are conducted in large diameter flow reactors, at pressures from one to twenty atmospheres, temperatures from 550 K to 1200 K, and with observed reaction times from 10{sup {minus}2} to 5 seconds. Gas sampling of stable reactant, intermediate, and product species concentrations provides not only substantial definition of the phenomenology of reaction mechanisms, but a significantly constrained set of kinetic information with negligible diffusive coupling. Analytical techniques used for detecting hydrocarbons and carbon oxides include gas chromatography (GC), and gas infrared (NDIR) and FTIR methods are utilized for continuous on-line sample detection of light absorption measurements of OH have also been performed in an atmospheric pressure flow reactor (APFR), and a variable pressure flow (VPFR) reactor is presently being instrumented to perform optical measurements of radicals and highly reactive molecular intermediates. The numerical aspects of the work utilize zero and one-dimensional pre-mixed, detailed kinetic studies, including path, elemental gradient sensitivity, and feature sensitivity analyses. The program emphasizes the use of hierarchical mechanistic construction to understand and develop detailed kinetic mechanisms. Numerical studies are utilized for guiding experimental parameter selections, for interpreting observations, for extending the predictive range of mechanism constructs, and to study the effects of diffusive transport coupling on reaction behavior in flames. Modeling using well defined and validated mechanisms for the CO/H{sub 2}/oxidant systems.

  1. Building a Comprehensive System of Services to Support Adults Living with Long-Term Mechanical Ventilation

    Directory of Open Access Journals (Sweden)

    David Leasa

    2016-01-01

    Full Text Available Background. Increasing numbers of individuals require long-term mechanical ventilation (LTMV in the community. In the South West Local Health Integration Network (LHIN in Ontario, multiple organizations have come together to design, build, and operate a system to serve adults living with LTMV. Objective. The goal was to develop an integrated approach to meet the health and supportive care needs of adults living with LTMV. Methods. The project was undertaken in three phases: System Design, Implementation Planning, and Implementation. Results. There are both qualitative and quantitative evidences that a multiorganizational system of care is now operational and functioning in a way that previously did not exist. An Oversight Committee and an Operations Management Committee currently support the system of services. A Memorandum of Understanding has been signed by the participating organizations. There is case-based evidence that hospital admissions are being avoided, transitions in care are being thoughtfully planned and executed collaboratively among service providers, and new roles and responsibilities are being accepted within the overall system of care. Conclusion. Addressing the complex and variable needs of adults living with LTMV requires a systems response involving the full continuum of care.

  2. SVM Classifier – a comprehensive java interface for support vector machine classification of microarray data

    Science.gov (United States)

    Pirooznia, Mehdi; Deng, Youping

    2006-01-01

    Motivation Graphical user interface (GUI) software promotes novelty by allowing users to extend the functionality. SVM Classifier is a cross-platform graphical application that handles very large datasets well. The purpose of this study is to create a GUI application that allows SVM users to perform SVM training, classification and prediction. Results The GUI provides user-friendly access to state-of-the-art SVM methods embodied in the LIBSVM implementation of Support Vector Machine. We implemented the java interface using standard swing libraries. We used a sample data from a breast cancer study for testing classification accuracy. We achieved 100% accuracy in classification among the BRCA1–BRCA2 samples with RBF kernel of SVM. Conclusion We have developed a java GUI application that allows SVM users to perform SVM training, classification and prediction. We have demonstrated that support vector machines can accurately classify genes into functional categories based upon expression data from DNA microarray hybridization experiments. Among the different kernel functions that we examined, the SVM that uses a radial basis kernel function provides the best performance. The SVM Classifier is available at . PMID:17217518

  3. SVM Classifier - a comprehensive java interface for support vector machine classification of microarray data.

    Science.gov (United States)

    Pirooznia, Mehdi; Deng, Youping

    2006-12-12

    Graphical user interface (GUI) software promotes novelty by allowing users to extend the functionality. SVM Classifier is a cross-platform graphical application that handles very large datasets well. The purpose of this study is to create a GUI application that allows SVM users to perform SVM training, classification and prediction. The GUI provides user-friendly access to state-of-the-art SVM methods embodied in the LIBSVM implementation of Support Vector Machine. We implemented the java interface using standard swing libraries. We used a sample data from a breast cancer study for testing classification accuracy. We achieved 100% accuracy in classification among the BRCA1-BRCA2 samples with RBF kernel of SVM. We have developed a java GUI application that allows SVM users to perform SVM training, classification and prediction. We have demonstrated that support vector machines can accurately classify genes into functional categories based upon expression data from DNA microarray hybridization experiments. Among the different kernel functions that we examined, the SVM that uses a radial basis kernel function provides the best performance. The SVM Classifier is available at http://mfgn.usm.edu/ebl/svm/.

  4. Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects

    Directory of Open Access Journals (Sweden)

    Ru Liang

    2016-01-01

    Full Text Available This paper develops a unified method to support contractor for bidding selection in construction projects. A cross-functional contractor with 28 candidate units distributed in the three departments (construction units, design units, and suppliers is used as an example. This problem is first formulated as a 0-1 quadratic programming problem through optimizing individual performance and collaborative performance of the candidate units based on individual information and collaborative information. Then, a multiobjective evolutionary algorithm is designed to solve this problem and a bidding selection problem for a major bridge project is used to demonstrate our proposed method. The results show that the decision-maker (DM obtains a better contractor if he pays more attention to collaborative performance.

  5. Supporting At-Risk Learners at a Comprehensive University in South Africa

    Directory of Open Access Journals (Sweden)

    Razia Mayet

    2017-02-01

    Full Text Available This paper reports on a study done within the Learning Development Unit (LDU at a South African university. It addresses the issue that many students who arrive at university lack the requisite academic skills needed for success in higher education which increases the time taken to graduate. One of the multiple reasons for this is the ‘articulation gap’ between school and higher education in South Africa and in other countries. This articulation gap is exacerbated by the assumption about prior learning on which South Africa’s traditional higher education programmes are based. The purpose of this study is to explore whether learning development interventions can change student attitudes and confidence levels, and develop some of the skills necessary to succeed. The study allows the academic counsellors who provide support a sense of whether their interventions are working. The study was undertaken by analysing student responses to learning development interventions. The data is gleaned from evaluation forms, assessment results and interviews conducted with students over three sets of consultations with each student. There were three hundred students who attended workshops and one hundred who sought individual consultations. Initial analyses suggest that significant gains were made in increasing student coping mechanisms and learning/study skills. This indicates that support offered by the Learning Development Unit develops the capabilities and competencies of academically at-risk learners. It is important to note that the LD unit does not pursue graduate outputs and notions of success rates but focuses on enabling at-risk students, allowing them to engage in more purposeful learning.

  6. ABA versus TEACCH: the case for defining and validating comprehensive treatment models in autism.

    Science.gov (United States)

    Callahan, Kevin; Shukla-Mehta, Smita; Magee, Sandy; Wie, Min

    2010-01-01

    The authors analyzed the results of a social validation survey to determine if autism service providers including special education teachers, parents, and administrators demonstrate a preference for the intervention components of Applied Behavior Analysis or Training and Education of Autistic and other Communication Handicapped Children. They also investigated the comprehensiveness of these treatment models for use in public school programs. The findings indicate no clear preference for either model, but a significantly higher level of social validity for components inherent in both approaches. The authors discuss the need for research to define what is meant by comprehensive programming in autism.

  7. A comprehensive mechanistic model for simulating algal-bacterial growth dynamics in photobioreactors.

    Science.gov (United States)

    Shriwastav, Amritanshu; Ashok, Vaishali; Thomas, Jeenu; Bose, Purnendu

    2018-01-01

    A comprehensive mechanistic model with state of the art understanding and assumptions is presented to simulate major processes in a photobioreactor for describing the algal-bacterial growth dynamics. The model includes a total of 37 state variables that broadly cover all the essential physiological and physico-chemical processes in such a system. Model parameters are first calibrated with batch experimental data, and thereafter, extensive validation of the model is carried with long term independent experimental data in diverse conditions. The developed model is able to capture the complex system behavior with reasonable accuracy. Also, the comprehensive mathematical formulation with realistic assumptions make this model a valuable tool for gaining better insights into the complex system behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.

  8. A Comprehensive Study on the Internet of Underwater Things: Applications, Challenges, and Channel Models.

    Science.gov (United States)

    Kao, Chien-Chi; Lin, Yi-Shan; Wu, Geng-De; Huang, Chun-Ju

    2017-06-22

    The Internet of Underwater Things (IoUT) is a novel class of Internet of Things (IoT), and is defined as the network of smart interconnected underwater objects. IoUT is expected to enable various practical applications, such as environmental monitoring, underwater exploration, and disaster prevention. With these applications, IoUT is regarded as one of the potential technologies toward developing smart cities. To support the concept of IoUT, Underwater Wireless Sensor Networks (UWSNs) have emerged as a promising network system. UWSNs are different from the traditional Territorial Wireless Sensor Networks (TWSNs), and have several unique properties, such as long propagation delay, narrow bandwidth, and low reliability. These unique properties would be great challenges for IoUT. In this paper, we provide a comprehensive study of IoUT, and the main contributions of this paper are threefold: (1) we introduce and classify the practical underwater applications that can highlight the importance of IoUT; (2) we point out the differences between UWSNs and traditional TWSNs, and these differences are the main challenges for IoUT; and (3) we investigate and evaluate the channel models, which are the technical core for designing reliable communication protocols on IoUT.

  9. A Comprehensive Study on the Internet of Underwater Things: Applications, Challenges, and Channel Models

    Directory of Open Access Journals (Sweden)

    Chien-Chi Kao

    2017-06-01

    Full Text Available The Internet of Underwater Things (IoUT is a novel class of Internet of Things (IoT, and is defined as the network of smart interconnected underwater objects. IoUT is expected to enable various practical applications, such as environmental monitoring, underwater exploration, and disaster prevention. With these applications, IoUT is regarded as one of the potential technologies toward developing smart cities. To support the concept of IoUT, Underwater Wireless Sensor Networks (UWSNs have emerged as a promising network system. UWSNs are different from the traditional Territorial Wireless Sensor Networks (TWSNs, and have several unique properties, such as long propagation delay, narrow bandwidth, and low reliability. These unique properties would be great challenges for IoUT. In this paper, we provide a comprehensive study of IoUT, and the main contributions of this paper are threefold: (1 we introduce and classify the practical underwater applications that can highlight the importance of IoUT; (2 we point out the differences between UWSNs and traditional TWSNs, and these differences are the main challenges for IoUT; and (3 we investigate and evaluate the channel models, which are the technical core for designing reliable communication protocols on IoUT.

  10. Time Capture Tool (TimeCaT): development of a comprehensive application to support data capture for Time Motion Studies.

    Science.gov (United States)

    Lopetegui, Marcelo; Yen, Po-Yin; Lai, Albert M; Embi, Peter J; Payne, Philip R O

    2012-01-01

    Time Motion Studies (TMS) have proved to be the gold standard method to measure and quantify clinical workflow, and have been widely used to assess the impact of health information systems implementation. Although there are tools available to conduct TMS, they provide different approaches for multitasking, interruptions, inter-observer reliability assessment and task taxonomy, making results across studies not comparable. We postulate that a significant contributing factor towards the standardization and spread of TMS would be the availability and spread of an accessible, scalable and dynamic tool. We present the development of a comprehensive Time Capture Tool (TimeCaT): a web application developed to support data capture for TMS. Ongoing and continuous development of TimeCaT includes the development and validation of a realistic inter-observer reliability scoring algorithm, the creation of an online clinical tasks ontology, and a novel quantitative workflow comparison method.

  11. Quantitative modelling for wait time reduction: A comprehensive simulation applied in general surgery

    NARCIS (Netherlands)

    Vanberkel, Peter T.; Blake, J.T.

    2008-01-01

    This thesis describes the use of operational research techniques to analyze the wait list for the division of general surgery at the Capital District Health Authority (CDHA) in Halifax, Nova Scotia, Canada. A comprehensive simulation model was developed to facilitate capacity planning decisions and

  12. Beyond Sexual Assault Surveys: A Model for Comprehensive Campus Climate Assessments

    Science.gov (United States)

    McMahon, Sarah; Stepleton, Kate; Cusano, Julia; O'Connor, Julia; Gandhi, Khushbu; McGinty, Felicia

    2018-01-01

    The White House Task Force to Protect Students from Sexual Assault identified campus climate surveys as "the first step" for addressing campus sexual violence. Through a process case study, this article presents one model for engaging in a comprehensive, action-focused campus climate assessment process. Rooted in principles of…

  13. Vocabulary and Grammar Knowledge in Second Language Reading Comprehension: A Structural Equation Modeling Study

    Science.gov (United States)

    Zhang, Dongbo

    2012-01-01

    Using structural equation modeling analysis, this study examined the contribution of vocabulary and grammatical knowledge to second language reading comprehension among 190 advanced Chinese English as a foreign language learners. Vocabulary knowledge was measured in both breadth (Vocabulary Levels Test) and depth (Word Associates Test);…

  14. Comprehension of Multiple Documents with Conflicting Information: A Two-Step Model of Validation

    Science.gov (United States)

    Richter, Tobias; Maier, Johanna

    2017-01-01

    In this article, we examine the cognitive processes that are involved when readers comprehend conflicting information in multiple texts. Starting from the notion of routine validation during comprehension, we argue that readers' prior beliefs may lead to a biased processing of conflicting information and a one-sided mental model of controversial…

  15. The Psychology Department Model Advisement Procedure: A Comprehensive, Systematic Approach to Career Development Advisement

    Science.gov (United States)

    Howell-Carter, Marya; Nieman-Gonder, Jennifer; Pellegrino, Jennifer; Catapano, Brittani; Hutzel, Kimberly

    2016-01-01

    The MAP (Model Advisement Procedure) is a comprehensive, systematic approach to developmental student advisement. The MAP was implemented to improve advisement consistency, improve student preparation for internships/senior projects, increase career exploration, reduce career uncertainty, and, ultimately, improve student satisfaction with the…

  16. Development of a comprehensive model for stakeholder management in mental healthcare

    NARCIS (Netherlands)

    Bierbooms, J.J.P.A.; van Oers, J.A.M.; Bongers, I.M.B.

    2016-01-01

    Purpose Stakeholder management is not yet incorporated into the standard practice of most healthcare providers. The purpose of this paper is to assess the applicability of a comprehensive model for stakeholder management in mental healthcare organization for more evidence-based (stakeholder)

  17. 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.

  18. Extending comprehensive models of the Earth's magnetic field with Orsted and CHAMP data

    DEFF Research Database (Denmark)

    Sabaka, T.J.; Olsen, Nils; Purucker, M.E.

    2004-01-01

    A new model of the quiet-time, near-Earth magnetic field has been derived using a comprehensive approach, which includes not only POGO and Magsat satellite data, but also data from the Orsted and CHAMP satellites. The resulting model shows great improvement over its predecessors in terms...... of completeness of sources, time span and noise reduction in parameters. With its well separated fields and extended time domain of 1960 to mid-2002, the model is able to detect the known sequence of geomagnetic jerks within this frame and gives evidence for an event of interest around 1997. Because all sources...... are coestimated in a comprehensive approach, intriguing north-south features typically filtered out with other methods are being discovered in the lithospheric representation of the model, such as the S Atlantic spreading ridge and Andean subduction zone lineations. In addition, this lithospheric field exhibits...

  19. The Relationship between SES and Reading Comprehension in Chinese: A Mediation Model

    Directory of Open Access Journals (Sweden)

    Yahua Cheng

    2017-04-01

    Full Text Available An increasing body of research provides evidence that socioeconomic status (SES was significantly related to children’s reading development; however, the psychological mechanism underlying the association between them remained an open question. The present study is designed to test the hypothesized three-path effect of vocabulary knowledge and morphological awareness as mediators between SES and sentence reading comprehension in Chinese first-graders. Results of mediation model showed that SES exerted its effect on sentence reading comprehension through the indirect path via the simple mediating effect of morphological awareness and the three-path mediating effect of vocabulary knowledge and morphological awareness. The findings highlight a previously unidentified mechanism of the relationship between SES and reading comprehension in Chinese young children.

  20. Geographic Modeling to Quantify the Impact of Primary and Comprehensive Stroke Center Destination Policies.

    Science.gov (United States)

    Mullen, Michael T; Pajerowski, William; Messé, Steven R; Mechem, C Crawford; Jia, Judy; Abboud, Michael; David, Guy; Carr, Brendan G; Band, Roger

    2018-02-28

    We evaluated the impact of a primary stroke center (PSC) destination policy in a major metropolitan city and used geographic modeling to evaluate expected changes for a comprehensive stroke center policy. We identified suspected stroke emergency medical services encounters from 1/1/2004 to 12/31/2013 in Philadelphia, PA. Transport times were compared before and after initiation of a PSC destination policy on 10/3/2011. Geographic modeling estimated the impact of bypassing the closest hospital for the closest PSC and for the closest comprehensive stroke center. There were 2 326 943 emergency medical services runs during the study period, of which 15 099 had a provider diagnosis of stroke. Bypassing the closest hospital for a PSC was common before the official policy and increased steadily over time. Geographic modeling suggested that bypassing the closest hospital in favor of the closest PSC adds a median of 3.1 minutes to transport time. Bypassing to the closest comprehensive stroke center would add a median of 8.3 minutes. Within a large metropolitan area, the time cost of routing patients preferentially to PSCs and comprehensive stroke centers is low. © 2018 American Heart Association, Inc.

  1. Comprehensive care of elderly patients with hip fracture: the orthogeriatric model

    Directory of Open Access Journals (Sweden)

    Carlo Frondini

    2013-04-01

    Full Text Available Introduction: Hip fractures in the elderly are a major source of morbidity and mortality. Interdisciplinary hospital care models proposed for the treatment of these patients include consultant teams, integrated orthopedic-geriatric care, and comprehensive geriatric-led care settings. A prospective interventional cohort study was conducted in 4 public hospitals in the Emilia-Romagna Region of Italy to compare the outcomes of these different care models. This report presents the preliminary results obtained with an orthogeriatric model in one of these centers, a large teaching hospital in Bologna. Materials and methods: Beginning in February 2008, all patients older than 75 years admitted to the University of Bologna’s Sant’Orsola-Malpighi Hospital for hip fractures were cared for in an orthogeriatric unit. The unit consisted of 10 beds in the orthopedic ward that were managed by a geriatric specialist and a multidisciplinary team, which met daily and included an orthopedic surgeon, a physiatrist, a nurse case-manager, staff nurses, a physical therapist, and a social worker. The management protocol included a thorough geriatric work-up to identify comorbidities and risk factors, systematic assessment and prevention of pain and acute disorientation, early verticalization and moblization, postacute rehabilitation therapy, family support, and regular follow-up after discharge. Preliminary results were compared with those achieved in the same orthopedic ward prior to the creation of the Orthogeriatric Unit. Results: During 2008, 226 elderly patients (mean age 86.2 + 5.5 years, 73.4% of whom were women, were admitted to the Orthogeriatric Unit for hip fractures. The mean Charlson comorbidity index of this cohort was 3.0 + 1.8. Half the patients had Activity of Daily Living scores < 4, and cognitive impairment was common (mean score on Short Portable Mental Status Questionnaire: 5.9 + 3.2. Compared with figures obtained in the hospital

  2. An analysis of comprehensive health promotion programs' consistency with the systems model of health.

    Science.gov (United States)

    Meek, J

    1993-01-01

    Purpose. The purpose of this article is to report a review and analysis of the concordance between current comprehensive corporate health promotion programs as described in the published literature and the systems model of health and to explore emerging trends in the field of health promotion. Search Methods. MEDLINE, BIOSIS, and PsycINFO searches were conducted from 1985 to 1991, and the bibliographies of articles thus obtained were back searched for additional descriptions of corporate health promotion programs. Inclusive criteria included "comprehensive" corporate programs, published in peer-reviewed journals or books, and descriptions adequate enough to permit coding in the majority of analysis matrix categories. Out of 63 identified programs, 16 met the inclusion criteria; 47 were excluded. A common reason for rejection was the limitation imposed by inadequate program descriptions in the published literature. Major Findings. On average, the comprehensive corporate programs reviewed were initiated between 1984 and 1987 and set in the context of a manufacturing firm with over 10,000 employees. A minority of programs (12.5%) consistently satisfied systems model criteria. The most common category of programs were those which were inconsistent (44%), meeting some of the criteria of a systems model of health promotion, but not all. The mechanistic medical and public health models predominated strongly (63%) with the preeminent goal being individual risk factor modification. Conclusions. The limitations of the published literature do not permit strong conclusions about the number or degree to which current corporate comprehensive programs are concordant with the systems model of health. Although mechanistic models of health predominated, there is evidence that a number of comprehensive programs were inconsistent with the mechanistic model, meeting some of the criteria, but also meeting some systems model criteria. To continue the advancement of health promotion with

  3. Measurement of Function Post Hip Fracture: Testing a Comprehensive Measurement Model of Physical Function.

    Science.gov (United States)

    Resnick, Barbara; Gruber-Baldini, Ann L; Hicks, Gregory; Ostir, Glen; Klinedinst, N Jennifer; Orwig, Denise; Magaziner, Jay

    2016-07-01

    Measurement of physical function post hip fracture has been conceptualized using multiple different measures. This study tested a comprehensive measurement model of physical function. This was a descriptive secondary data analysis including 168 men and 171 women post hip fracture. Using structural equation modeling, a measurement model of physical function which included grip strength, activities of daily living, instrumental activities of daily living, and performance was tested for fit at 2 and 12 months post hip fracture, and among male and female participants. Validity of the measurement model of physical function was evaluated based on how well the model explained physical activity, exercise, and social activities post hip fracture. The measurement model of physical function fit the data. The amount of variance the model or individual factors of the model explained varied depending on the activity. Decisions about the ideal way in which to measure physical function should be based on outcomes considered and participants. The measurement model of physical function is a reliable and valid method to comprehensively measure physical function across the hip fracture recovery trajectory. © 2015 Association of Rehabilitation Nurses.

  4. Mutual Support: A Model of Participatory Support by and for People with Learning Difficulties

    Science.gov (United States)

    Keyes, Sarah E.; Brandon, Toby

    2012-01-01

    Mutual Support, a model of peer support by and for people with learning difficulties, was constructed through a participatory research process. The research focussed on individual narratives from people with learning difficulties. These narratives were then brought together to form a collective model of support. This paper outlines the detailed…

  5. Comprehensive Stability Evaluation of Rock Slope Using the Cloud Model-Based Approach

    Science.gov (United States)

    Liu, Zaobao; Shao, Jianfu; Xu, Weiya; Xu, Fei

    2014-11-01

    This article presents the cloud model-based approach for comprehensive stability evaluation of complicated rock slopes of hydroelectric stations in mountainous area. This approach is based on membership cloud models which can account for randomness and fuzziness in slope stability evaluation. The slope stability is affected by various factors and each of which is ranked into five grades. The ranking factors are sorted into four categories. The ranking system of slope stability is introduced and then the membership cloud models are applied to analyze each ranking factor for generating cloud memberships. Afterwards, the obtained cloud memberships are synthesized with the factor weights given by experts for comprehensive stability evaluation of rock slopes. The proposed approach is used for the stability evaluation of the left abutment slope in Jinping 1 Hydropower Station. It is shown that the cloud model-based strategy can well consider the effects of each ranking factor and therefore is feasible and reliable for comprehensive stability evaluation of rock slopes.

  6. Comprehensive Laser-induced Incandescence (LII) modeling for soot particle sizing

    KAUST Repository

    Lisanti, Joel

    2015-03-30

    To evaluate the current state of the art in LII particle sizing, a comprehensive model for predicting the temporal incandescent response of combustion-generated soot to absorption of a pulsed laser is presented. The model incorporates particle heating through laser absorption, thermal annealing, and oxidation at the surface as well as cooling through sublimation and photodesorption, radiation, conduction and thermionic emission. Thermodynamic properties and the thermal accommodation coefficient utilized in the model are temperature dependent. In addition, where appropriate properties are also phase dependent, thereby accounting for annealing effects during laser heating and particle cooling.

  7. Comprehensive modelling study on observed new particle formation at the SORPES station in Nanjing, China

    Directory of Open Access Journals (Sweden)

    X. Huang

    2016-03-01

    Full Text Available New particle formation (NPF has been investigated intensively during the last 2 decades because of its influence on aerosol population and the possible contribution to cloud condensation nuclei. However, intensive measurements and modelling activities on this topic in urban metropolitan areas in China with frequent high-pollution episodes are still very limited. This study provides results from a comprehensive modelling study on the occurrence of NPF events in the western part of the Yangtze River Delta (YRD region, China. The comprehensive modelling system, which combines the WRF-Chem (the Weather Research and Forecasting model coupled with Chemistry regional chemical transport model and the MALTE-BOX sectional box model (the model to predict new aerosol formation in the lower troposphere, was shown to be capable of simulating atmospheric nucleation and subsequent growth. Here we present a detailed discussion of three typical NPF days, during which the measured air masses were notably influenced by either anthropogenic activities, biogenic emissions, or mixed ocean and continental sources. Overall, simulated NPF events were generally in good agreement with the corresponding measurements, enabling us to get further insights into NPF processes in the YRD region. Based on the simulations, we conclude that biogenic organic compounds, particularly monoterpenes, play an essential role in the initial condensational growth of newly formed clusters through their low-volatility oxidation products. Although some uncertainties remain in this modelling system, this method provides a possibility to better understand particle formation and growth processes.

  8. Fuzzy Comprehensive Evaluation of Ecological Risk Based on Cloud Model: Taking Chengchao Iron Mine as Example

    Science.gov (United States)

    Ruan, Jinghua; Chen, Yong; Xiao, Xiao; Yong, Gan; Huang, Ranran; Miao, Zuohua

    2018-01-01

    Aimed at the fuzziness and randomness during the evaluation process, this paper constructed a fuzzy comprehensive evaluation method based on cloud model. The evaluation index system was established based on the inherent risk, present level and control situation, which had been proved to be able to convey the main contradictions of ecological risk in mine on the macro level, and be advantageous for comparison among mines. The comment sets and membership functions improved by cloud model could reflect the uniformity of ambiguity and randomness effectively. In addition, the concept of fuzzy entropy was introduced to further characterize the fuzziness of assessments results and the complexities of ecological problems in target mine. A practical example in Chengchao Iron Mine evidenced that, the assessments results can reflect actual situations appropriately and provide a new theoretic guidance for comprehensive ecological risk evaluation of underground iron mine.

  9. Archetype-Based Modeling of Persona for Comprehensive Personality Computing from Personal Big Data

    Directory of Open Access Journals (Sweden)

    Ao Guo

    2018-02-01

    Full Text Available A model describing the wide variety of human behaviours called personality, is becoming increasingly popular among researchers due to the widespread availability of personal big data generated from the use of prevalent digital devices, e.g., smartphones and wearables. Such an approach can be used to model an individual and even digitally clone a person, e.g., a Cyber-I (cyber individual. This work is aimed at establishing a unique and comprehensive description for an individual to mesh with various personalized services and applications. An extensive research literature on or related to psychological modelling exists, i.e., into automatic personality computing. However, the integrity and accuracy of the results from current automatic personality computing is insufficient for the elaborate modeling in Cyber-I due to an insufficient number of data sources. To reach a comprehensive psychological description of a person, it is critical to bring in heterogeneous data sources that could provide plenty of personal data, i.e., the physiological data, and the Internet data. In addition, instead of calculating personality traits from personal data directly, an approach to a personality model derived from the theories of Carl Gustav Jung is used to measure a human subject’s persona. Therefore, this research is focused on designing an archetype-based modeling of persona covering an individual’s facets in different situations to approach a comprehensive personality model. Using personal big data to measure a specific persona in a certain scenario, our research is designed to ensure the accuracy and integrity of the generated personality model.

  10. Archetype-Based Modeling of Persona for Comprehensive Personality Computing from Personal Big Data.

    Science.gov (United States)

    Guo, Ao; Ma, Jianhua

    2018-02-25

    A model describing the wide variety of human behaviours called personality, is becoming increasingly popular among researchers due to the widespread availability of personal big data generated from the use of prevalent digital devices, e.g., smartphones and wearables. Such an approach can be used to model an individual and even digitally clone a person, e.g., a Cyber-I (cyber individual). This work is aimed at establishing a unique and comprehensive description for an individual to mesh with various personalized services and applications. An extensive research literature on or related to psychological modelling exists, i.e., into automatic personality computing. However, the integrity and accuracy of the results from current automatic personality computing is insufficient for the elaborate modeling in Cyber-I due to an insufficient number of data sources. To reach a comprehensive psychological description of a person, it is critical to bring in heterogeneous data sources that could provide plenty of personal data, i.e., the physiological data, and the Internet data. In addition, instead of calculating personality traits from personal data directly, an approach to a personality model derived from the theories of Carl Gustav Jung is used to measure a human subject's persona. Therefore, this research is focused on designing an archetype-based modeling of persona covering an individual's facets in different situations to approach a comprehensive personality model. Using personal big data to measure a specific persona in a certain scenario, our research is designed to ensure the accuracy and integrity of the generated personality model.

  11. Archetype-Based Modeling of Persona for Comprehensive Personality Computing from Personal Big Data

    Science.gov (United States)

    Ma, Jianhua

    2018-01-01

    A model describing the wide variety of human behaviours called personality, is becoming increasingly popular among researchers due to the widespread availability of personal big data generated from the use of prevalent digital devices, e.g., smartphones and wearables. Such an approach can be used to model an individual and even digitally clone a person, e.g., a Cyber-I (cyber individual). This work is aimed at establishing a unique and comprehensive description for an individual to mesh with various personalized services and applications. An extensive research literature on or related to psychological modelling exists, i.e., into automatic personality computing. However, the integrity and accuracy of the results from current automatic personality computing is insufficient for the elaborate modeling in Cyber-I due to an insufficient number of data sources. To reach a comprehensive psychological description of a person, it is critical to bring in heterogeneous data sources that could provide plenty of personal data, i.e., the physiological data, and the Internet data. In addition, instead of calculating personality traits from personal data directly, an approach to a personality model derived from the theories of Carl Gustav Jung is used to measure a human subject’s persona. Therefore, this research is focused on designing an archetype-based modeling of persona covering an individual’s facets in different situations to approach a comprehensive personality model. Using personal big data to measure a specific persona in a certain scenario, our research is designed to ensure the accuracy and integrity of the generated personality model. PMID:29495343

  12. Remote Sensing Technologies and Geospatial Modelling Hierarchy for Smart City Support

    Science.gov (United States)

    Popov, M.; Fedorovsky, O.; Stankevich, S.; Filipovich, V.; Khyzhniak, A.; Piestova, I.; Lubskyi, M.; Svideniuk, M.

    2017-12-01

    The approach to implementing the remote sensing technologies and geospatial modelling for smart city support is presented. The hierarchical structure and basic components of the smart city information support subsystem are considered. Some of the already available useful practical developments are described. These include city land use planning, urban vegetation analysis, thermal condition forecasting, geohazard detection, flooding risk assessment. Remote sensing data fusion approach for comprehensive geospatial analysis is discussed. Long-term city development forecasting by Forrester - Graham system dynamics model is provided over Kiev urban area.

  13. REMOTE SENSING TECHNOLOGIES AND GEOSPATIAL MODELLING HIERARCHY FOR SMART CITY SUPPORT

    Directory of Open Access Journals (Sweden)

    M. Popov

    2017-12-01

    Full Text Available The approach to implementing the remote sensing technologies and geospatial modelling for smart city support is presented. The hierarchical structure and basic components of the smart city information support subsystem are considered. Some of the already available useful practical developments are described. These include city land use planning, urban vegetation analysis, thermal condition forecasting, geohazard detection, flooding risk assessment. Remote sensing data fusion approach for comprehensive geospatial analysis is discussed. Long-term city development forecasting by Forrester – Graham system dynamics model is provided over Kiev urban area.

  14. Support Center for Regulatory Atmospheric Modeling (SCRAM)

    Science.gov (United States)

    This technical site provides access to air quality models (including computer code, input data, and model processors) and other mathematical simulation techniques used in assessing air emissions control strategies and source impacts.

  15. DESIGN MODELING OF A UNIVERSITY’S COMPREHENSIVE-INTEGRATED SECURITY SYSTEM

    Directory of Open Access Journals (Sweden)

    Marina V. Dulyasova

    2017-03-01

    Full Text Available Introduction: the safety of higher education institutions is considered to be of great importance nowadays. Security challenges need to be addressed through a comprehensive and integrative approach. This approach provides neutralisation of various threats systemically, risk prevention, minimisation of the tangible and moral harm. The project concept of “safe university” is proposed and substantiated for the above-mentioned purposes. Materials and Methods: the authors used a special literature survey on the issue, which is divided into three main groups of publications, where the complex security of educational institutions is considered in the context of the general theory of security, in the educational-methodical plan and within the framework of sociological, psychological and pedagogical approaches. The legislative and regulatory sources also indicated, legislative and regulatory legal acts reviews, “Safe City” concept, National standard “Information security technologies: complex and integrated ones. Standard requirements to architecture and technologies of intellectual systems of monitoring for safety of the companies and the territories” (State standard specification P 56875-2016, documents of higher education institutions, media reports. The analysis and generalisation of information was coupled with project modeling of the new comprehensive system of higher education institution security. Results: the authors introduce the concept, architecture and model of the comprehensive integrated higher education institution security, monitoring based on measures and indicators pertaining to implementation of standard requirements and level of satisfaction with safety, evaluation of the taken measures in terms of efficiency. Discussion and Conclusions: the main contours of the model for comprehensive integrated security system in a higher education institution and algorithm of interaction between the subjects are determined. These

  16. A comprehensive action determination model - Toward a broader understanding of ecological behaviour using the example of travel mode choice

    OpenAIRE

    Klöckner, Christian; Blöbaum, Anke

    2010-01-01

    This paper examines a first version of a Comprehensive Action Determination Model (CADM) of ecological behaviour that incorporates intentional, normative, situational, and habitual influences on environmentally friendly behaviour. The main assumptions of the theory of planned behaviour (TPB), the norm-activation model (NAM), the theoretical concept of habit and the ipsative theory of behaviour were integrated into a comprehensive model. The model was tested using a structural equation modelli...

  17. 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

    2017-12-01

    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.

  18. Components of Story Comprehension and Strategies to Support Them in Hearing and Deaf or Hard of Hearing Readers

    Science.gov (United States)

    Sullivan, Susan; Oakhill, Jane

    2015-01-01

    In this article, we review the skills that have been found to be related to good story comprehension in novice readers with normal hearing and describe the relative weight each plays. The relationship between effective story comprehension and lower level skills (such as syntactic awareness and vocabulary knowledge) is considered, and the casual…

  19. 34 CFR 403.160 - What activities does the Secretary support under the Comprehensive Career Guidance and Counseling...

    Science.gov (United States)

    2010-07-01

    ...-assessment, career planning, career decision-making, and employability skills; (ii) Make the transition from... Comprehensive Career Guidance and Counseling Programs? 403.160 Section 403.160 Education Regulations of the... Secretary Assist Under the Special Programs? Comprehensive Career Guidance and Counseling Programs § 403.160...

  20. HOCOMOCO: A comprehensive collection of human transcription factor binding sites models

    KAUST Repository

    Kulakovskiy, Ivan V.

    2012-11-21

    Transcription factor (TF) binding site (TFBS) models are crucial for computational reconstruction of transcription regulatory networks. In existing repositories, a TF often has several models (also called binding profiles or motifs), obtained from different experimental data. Having a single TFBS model for a TF is more pragmatic for practical applications. We show that integration of TFBS data from various types of experiments into a single model typically results in the improved model quality probably due to partial correction of source specific technique bias. We present the Homo sapiens comprehensive model collection (HOCOMOCO, http://autosome.ru/HOCOMOCO/, http://cbrc.kaust.edu.sa/ hocomoco/) containing carefully hand-curated TFBS models constructed by integration of binding sequences obtained by both low- and high-throughput methods. To construct position weight matrices to represent these TFBS models, we used ChIPMunk software in four computational modes, including newly developed periodic positional prior mode associated with DNA helix pitch. We selected only one TFBS model per TF, unless there was a clear experimental evidence for two rather distinct TFBS models. We assigned a quality rating to each model. HOCOMOCO contains 426 systematically curated TFBS models for 401 human TFs, where 172 models are based on more than one data source. The Author(s) 2012.

  1. HOCOMOCO: a comprehensive collection of human transcription factor binding sites models

    Science.gov (United States)

    Kulakovskiy, Ivan V.; Medvedeva, Yulia A.; Schaefer, Ulf; Kasianov, Artem S.; Vorontsov, Ilya E.; Bajic, Vladimir B.; Makeev, Vsevolod J.

    2013-01-01

    Transcription factor (TF) binding site (TFBS) models are crucial for computational reconstruction of transcription regulatory networks. In existing repositories, a TF often has several models (also called binding profiles or motifs), obtained from different experimental data. Having a single TFBS model for a TF is more pragmatic for practical applications. We show that integration of TFBS data from various types of experiments into a single model typically results in the improved model quality probably due to partial correction of source specific technique bias. We present the Homo sapiens comprehensive model collection (HOCOMOCO, http://autosome.ru/HOCOMOCO/, http://cbrc.kaust.edu.sa/hocomoco/) containing carefully hand-curated TFBS models constructed by integration of binding sequences obtained by both low- and high-throughput methods. To construct position weight matrices to represent these TFBS models, we used ChIPMunk software in four computational modes, including newly developed periodic positional prior mode associated with DNA helix pitch. We selected only one TFBS model per TF, unless there was a clear experimental evidence for two rather distinct TFBS models. We assigned a quality rating to each model. HOCOMOCO contains 426 systematically curated TFBS models for 401 human TFs, where 172 models are based on more than one data source. PMID:23175603

  2. 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.

  3. Generic dynamic wind turbine models for power system stability analysis: A comprehensive review

    DEFF Research Database (Denmark)

    Honrubia-Escribano, A.; Gómez-Lázaro, E.; Fortmann, J.

    2018-01-01

    the subsequent changes made during the development phase. The main differences between IEC and WECC generic models are also analyzed. Not only is the final model structure presented but we also provide a complete description of the physical behavior of wind turbines facing power system stability problems......In recent years, international working groups, mainly from the International Electrotechnical Commission (IEC) and the Western Electricity Coordinating Council (WECC), have made a major effort to develop generic —also known as simplified or standard— dynamic wind turbine models to be used for power...... system stability analysis. These models are required by power system operators to conduct the planning and operation activities of their networks since the use of detailed manufacturer models is not practical. This paper presents a comprehensive review of the work done in this field, based on the results...

  4. Fuzzy comprehensive evaluation model of interuniversity collaborative learning based on network

    Science.gov (United States)

    Wenhui, Ma; Yu, Wang

    2017-06-01

    Learning evaluation is an effective method, which plays an important role in the network education evaluation system. But most of the current network learning evaluation methods still use traditional university education evaluation system, which do not take into account of web-based learning characteristics, and they are difficult to fit the rapid development of interuniversity collaborative learning based on network. Fuzzy comprehensive evaluation method is used to evaluate interuniversity collaborative learning based on the combination of fuzzy theory and analytic hierarchy process. Analytic hierarchy process is used to determine the weight of evaluation factors of each layer and to carry out the consistency check. According to the fuzzy comprehensive evaluation method, we establish interuniversity collaborative learning evaluation mathematical model. The proposed scheme provides a new thought for interuniversity collaborative learning evaluation based on network.

  5. Applying a Multiple Group Causal Indicator Modeling Framework to the Reading Comprehension Skills of Third, Seventh, and Tenth Grade Students

    Science.gov (United States)

    Tighe, Elizabeth L.; Wagner, Richard K.; Schatschneider, Christopher

    2015-01-01

    This study demonstrates the utility of applying a causal indicator modeling framework to investigate important predictors of reading comprehension in third, seventh, and tenth grade students. The results indicated that a 4-factor multiple indicator multiple indicator cause (MIMIC) model of reading comprehension provided adequate fit at each grade level. This model included latent predictor constructs of decoding, verbal reasoning, nonverbal reasoning, and working memory and accounted for a large portion of the reading comprehension variance (73% to 87%) across grade levels. Verbal reasoning contributed the most unique variance to reading comprehension at all grade levels. In addition, we fit a multiple group 4-factor MIMIC model to investigate the relative stability (or variability) of the predictor contributions to reading comprehension across development (i.e., grade levels). The results revealed that the contributions of verbal reasoning, nonverbal reasoning, and working memory to reading comprehension were stable across the three grade levels. Decoding was the only predictor that could not be constrained to be equal across grade levels. The contribution of decoding skills to reading comprehension was higher in third grade and then remained relatively stable between seventh and tenth grade. These findings illustrate the feasibility of using MIMIC models to explain individual differences in reading comprehension across the development of reading skills. PMID:25821346

  6. Standard fire behavior fuel models: a comprehensive set for use with Rothermel's surface fire spread model

    Science.gov (United States)

    Joe H. Scott; Robert E. Burgan

    2005-01-01

    This report describes a new set of standard fire behavior fuel models for use with Rothermel's surface fire spread model and the relationship of the new set to the original set of 13 fire behavior fuel models. To assist with transition to using the new fuel models, a fuel model selection guide, fuel model crosswalk, and set of fuel model photos are provided.

  7. Comprehensive process model of clinical information interaction in primary care: results of a "best-fit" framework synthesis.

    Science.gov (United States)

    Veinot, Tiffany C; Senteio, Charles R; Hanauer, David; Lowery, Julie C

    2017-09-02

    To describe a new, comprehensive process model of clinical information interaction in primary care (Clinical Information Interaction Model, or CIIM) based on a systematic synthesis of published research. We used the "best fit" framework synthesis approach. Searches were performed in PubMed, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, Library and Information Science Abstracts, Library, Information Science and Technology Abstracts, and Engineering Village. Two authors reviewed articles according to inclusion and exclusion criteria. Data abstraction and content analysis of 443 published papers were used to create a model in which every element was supported by empirical research. The CIIM documents how primary care clinicians interact with information as they make point-of-care clinical decisions. The model highlights 3 major process components: (1) context, (2) activity (usual and contingent), and (3) influence. Usual activities include information processing, source-user interaction, information evaluation, selection of information, information use, clinical reasoning, and clinical decisions. Clinician characteristics, patient behaviors, and other professionals influence the process. The CIIM depicts the complete process of information interaction, enabling a grasp of relationships previously difficult to discern. The CIIM suggests potentially helpful functionality for clinical decision support systems (CDSSs) to support primary care, including a greater focus on information processing and use. The CIIM also documents the role of influence in clinical information interaction; influencers may affect the success of CDSS implementations. The CIIM offers a new framework for achieving CDSS workflow integration and new directions for CDSS design that can support the work of diverse primary care clinicians. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All

  8. Modeling a support system for the evaluator

    International Nuclear Information System (INIS)

    Lozano Lima, B.; Ilizastegui Perez, F; Barnet Izquierdo, B.

    1998-01-01

    This work gives evaluators a tool they can employ to give more soundness to their review of operational limits and conditions. The system will establish the most adequate method to carry out the evaluation, as well as to evaluate the basis for technical operational specifications. It also includes the attainment of alternative questions to be supplied to the operating entity to support it in decision-making activities

  9. Modeling the Relations Among Morphological Awareness Dimensions, Vocabulary Knowledge, and Reading Comprehension in Adult Basic Education Students

    Science.gov (United States)

    Tighe, Elizabeth L.; Schatschneider, Christopher

    2016-01-01

    This study extended the findings of Tighe and Schatschneider (2015) by investigating the predictive utility of separate dimensions of morphological awareness as well as vocabulary knowledge to reading comprehension in adult basic education (ABE) students. We competed two- and three-factor structural equation models of reading comprehension. A three-factor model of real word morphological awareness, pseudoword morphological awareness, and vocabulary knowledge emerged as the best fit and accounted for 79% of the reading comprehension variance. The results indicated that the constructs contributed jointly to reading comprehension; however, vocabulary knowledge was the only potentially unique predictor (p = 0.052), accounting for an additional 5.6% of the variance. This study demonstrates the feasibility of applying a latent variable modeling approach to examine individual differences in the reading comprehension skills of ABE students. Further, this study replicates the findings of Tighe and Schatschneider (2015) on the importance of differentiating among dimensions of morphological awareness in this population. PMID:26869981

  10. Modeling the Relations Among Morphological Awareness Dimensions, Vocabulary Knowledge, and Reading Comprehension in Adult Basic Education Students.

    Science.gov (United States)

    Tighe, Elizabeth L; Schatschneider, Christopher

    2016-01-01

    This study extended the findings of Tighe and Schatschneider (2015) by investigating the predictive utility of separate dimensions of morphological awareness as well as vocabulary knowledge to reading comprehension in adult basic education (ABE) students. We competed two- and three-factor structural equation models of reading comprehension. A three-factor model of real word morphological awareness, pseudoword morphological awareness, and vocabulary knowledge emerged as the best fit and accounted for 79% of the reading comprehension variance. The results indicated that the constructs contributed jointly to reading comprehension; however, vocabulary knowledge was the only potentially unique predictor (p = 0.052), accounting for an additional 5.6% of the variance. This study demonstrates the feasibility of applying a latent variable modeling approach to examine individual differences in the reading comprehension skills of ABE students. Further, this study replicates the findings of Tighe and Schatschneider (2015) on the importance of differentiating among dimensions of morphological awareness in this population.

  11. A Longitudinal Study of Reading Comprehension Achievement from Grades 3 to 10: Investigating Models of Stability, Cumulative Growth, and Compensation

    Science.gov (United States)

    Kwiatkowska-White, Bozena; Kirby, John R.; Lee, Elizabeth A.

    2016-01-01

    This longitudinal study of 78 Canadian English-speaking students examined the applicability of the stability, cumulative, and compensatory models in reading comprehension development. Archival government-mandated assessments of reading comprehension at Grades 3, 6, and 10, and the Canadian Test of Basic Skills measure of reading comprehension…

  12. Predictive analytics can support the ACO model.

    Science.gov (United States)

    Bradley, Paul

    2012-04-01

    Predictive analytics can be used to rapidly spot hard-to-identify opportunities to better manage care--a key tool in accountable care. When considering analytics models, healthcare providers should: Make value-based care a priority and act on information from analytics models. Create a road map that includes achievable steps, rather than major endeavors. Set long-term expectations and recognize that the effectiveness of an analytics program takes time, unlike revenue cycle initiatives that may show a quick return.

  13. Comprehensive analysis of bearingless rotors - Model development and experimental correlation of modes, response, trim and stability

    Science.gov (United States)

    Jambunathan, V.; Murthy, V. R.

    1993-01-01

    A generic mathematical model that is capable of accurately modeling the multiple load path bearingless rotor blade is developed. A comprehensive, finite element based solution for the natural vibration of the rotor blade is developed. An iterative scheme based on harmonic balance is used to evaluate the nonlinear response of the rotor to control inputs and a Newton-Raphson procedure is employed to evaluate the trim of rotorcraft. Linearized perturbation model of the nonlinear system are presented. The model is validated by comparing with existing whirl tower, wind tunnel and flight test results of BMR/BO-105 helicopter. Frequencies of two bearingless rotor blades compare well with results from experiments. Nonlinear response and trim results are presented for the bearingless BMR/BO-105 rotor. Aeroelastic stability in forward flight, evaluated using floquet theory agrees with test data in general.

  14. A comprehensive model of the quiet-time, near-Earth magnetic field: phase 3

    DEFF Research Database (Denmark)

    Sabaka, T.J.; Olsen, Nils; Langel, R.A.

    2002-01-01

    The near-Earth magnetic field is caused by sources in the Earth's core, ionosphere, magnetosphere, lithosphere and from coupling currents between the ionosphere and the magnetosphere, and between hemispheres. Traditionally, the main field (low degree internal field) and magnetospheric field have......, and includes an accounting for main field influences on the magnetosphere, main field and solar activity influences on the ionosphere, seasonal influences on the coupling currents, a priori characterization of the influence of the ionosphere and the magnetosphere on Earth-induced fields, and an explicit...... been modelled simultaneously, with fields from other sources being modelled separately. Such a scheme, however, can introduce spurious features, especially when the spatial and temporal scales of the fields overlap. A new model, designated CM3 (Comprehensive Model: phase 3), is the third in a series...

  15. Development of a Comprehensive Fouling Model for a Rotating Membrane Bioreactor System Treating Wastewater

    Directory of Open Access Journals (Sweden)

    Parneet Paul

    2015-01-01

    Full Text Available Membrane bioreactors (MBRs are now main stream wastewater treatment technologies. In recent times, novel pressure driven rotating membrane disc modules have been specially developed that induce high shear on the membrane surface, thereby reducing fouling. Previous research has produced dead-end filtration fouling model which combines all three classical mechanisms that was later used by another researcher as a starting point for a greatly refined model of a cross flow side-stream MBR that incorporated both hydrodynamics and soluble microbial products’ (SMP effects. In this study, a comprehensive fouling model was created based on this earlier work that incorporated all three classical fouling mechanisms for a rotating MBR system. It was tested and validated for best fit using appropriate data sets. The initial model fit appeared good for all simulations, although it still needs to be calibrated using further appropriate data sets.

  16. 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.

  17. Framework for Infectious Disease Analysis: A comprehensive and integrative multi-modeling approach to disease prediction and management.

    Science.gov (United States)

    Erraguntla, Madhav; Zapletal, Josef; Lawley, Mark

    2017-12-01

    The impact of infectious disease on human populations is a function of many factors including environmental conditions, vector dynamics, transmission mechanics, social and cultural behaviors, and public policy. A comprehensive framework for disease management must fully connect the complete disease lifecycle, including emergence from reservoir populations, zoonotic vector transmission, and impact on human societies. The Framework for Infectious Disease Analysis is a software environment and conceptual architecture for data integration, situational awareness, visualization, prediction, and intervention assessment. Framework for Infectious Disease Analysis automatically collects biosurveillance data using natural language processing, integrates structured and unstructured data from multiple sources, applies advanced machine learning, and uses multi-modeling for analyzing disease dynamics and testing interventions in complex, heterogeneous populations. In the illustrative case studies, natural language processing from social media, news feeds, and websites was used for information extraction, biosurveillance, and situation awareness. Classification machine learning algorithms (support vector machines, random forests, and boosting) were used for disease predictions.

  18. 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.

  19. On Support Functions for the Development of MFM Models

    DEFF Research Database (Denmark)

    Heussen, Kai; Lind, Morten

    2012-01-01

    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...... 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....

  20. Strategies to Support Students' Mathematical Modeling

    Science.gov (United States)

    Jung, Hyunyi

    2015-01-01

    An important question for mathematics teachers is this: "How can we help students learn mathematics to solve everyday problems, rather than teaching them only to memorize rules and practice mathematical procedures?" Teaching students using modeling activities can help them learn mathematics in real-world problem-solving situations that…

  1. Using Covariation Reasoning to Support Mathematical Modeling

    Science.gov (United States)

    Jacobson, Erik

    2014-01-01

    For many students, making connections between mathematical ideas and the real world is one of the most intriguing and rewarding aspects of the study of mathematics. In the Common Core State Standards for Mathematics (CCSSI 2010), mathematical modeling is highlighted as a mathematical practice standard for all grades. To engage in mathematical…

  2. Bayesian Model Development for Analysis of Open Source Information to Support the Assessment of Nuclear Programs

    Energy Technology Data Exchange (ETDEWEB)

    Gastelum, Zoe N.; Whitney, Paul D.; White, Amanda M.

    2013-07-15

    Pacific Northwest National Laboratory has spent several years researching, developing, and validating large Bayesian network models to support integration of open source data sets for nuclear proliferation research. Our current work focuses on generating a set of interrelated models for multi-source assessment of nuclear programs, as opposed to a single comprehensive model. By using this approach, we can break down the models to cover logical sub-problems that can utilize different expertise and data sources. This approach allows researchers to utilize the models individually or in combination to detect and characterize a nuclear program and identify data gaps. The models operate at various levels of granularity, covering a combination of state-level assessments with more detailed models of site or facility characteristics. This paper will describe the current open source-driven, nuclear nonproliferation models under development, the pros and cons of the analytical approach, and areas for additional research.

  3. Evaluating energy saving system of data centers based on AHP and fuzzy comprehensive evaluation model

    Science.gov (United States)

    Jiang, Yingni

    2018-03-01

    Due to the high energy consumption of communication, energy saving of data centers must be enforced. But the lack of evaluation mechanisms has restrained the process on energy saving construction of data centers. In this paper, energy saving evaluation index system of data centers was constructed on the basis of clarifying the influence factors. Based on the evaluation index system, analytical hierarchy process was used to determine the weights of the evaluation indexes. Subsequently, a three-grade fuzzy comprehensive evaluation model was constructed to evaluate the energy saving system of data centers.

  4. Non-equilibrium modeling of the PMSE Overshoot Effect revisited: A comprehensive study

    Science.gov (United States)

    Biebricher, Alexander; Havnes, Ove

    2012-06-01

    Numerical investigations of the Polar Mesosphere Summer Echoes (PMSE) Overshoot Effect have to date been undertaken under the premise of plasma neutrality and current equilibrium at any time. We find it necessary to revisit the calculations without these restrictions, since electrons and ions are attached to and absorbed by mesospheric dust particles at vastly different rates under PMSE conditions. We find that differences to earlier modeling might be so significant as to warrant further investigation. Furthermore, we conduct comprehensive studies of the PMSE Overshoot Effect and put the results in the context of experimental realities.

  5. A Model for the Strategic Use of Metacognitive Reading Comprehension Strategies

    Directory of Open Access Journals (Sweden)

    Juan David Gómez González

    2017-07-01

    Full Text Available This paper describes an approach to developing intermediate level reading proficiency through a strategic and iterative use of a discreet set of tasks that combine some of the more common metacognitive theories and strategies that have been published in the past thirty years. The case for incorporating this composite approach into reading comprehension classes begins with an explanation of its benefits and the context in which it came to be; its relationship to theoretical discourse in the field; a description of its three main components: textual indicators, strategy instruction, and content learning; and concludes by presenting a model for implementing the approach that integrates these three components.

  6. A comprehensive, multi-scale dynamical model of ErbB receptor signal transduction in human mammary epithelial cells.

    Directory of Open Access Journals (Sweden)

    Tomáš Helikar

    Full Text Available The non-receptor tyrosine kinase Src and receptor tyrosine kinase epidermal growth factor receptor (EGFR/ErbB1 have been established as collaborators in cellular signaling and their combined dysregulation plays key roles in human cancers, including breast cancer. In part due to the complexity of the biochemical network associated with the regulation of these proteins as well as their cellular functions, the role of Src in EGFR regulation remains unclear. Herein we present a new comprehensive, multi-scale dynamical model of ErbB receptor signal transduction in human mammary epithelial cells. This model, constructed manually from published biochemical literature, consists of 245 nodes representing proteins and their post-translational modifications sites, and over 1,000 biochemical interactions. Using computer simulations of the model, we find it is able to reproduce a number of cellular phenomena. Furthermore, the model predicts that overexpression of Src results in increased endocytosis of EGFR in the absence/low amount of the epidermal growth factor (EGF. Our subsequent laboratory experiments also suggest increased internalization of EGFR upon Src overexpression under EGF-deprived conditions, further supporting this model-generated hypothesis.

  7. Dengue human infection models supporting drug development.

    Science.gov (United States)

    Whitehorn, James; Van, Vinh Chau Nguyen; Simmons, Cameron P

    2014-06-15

    Dengue is a arboviral infection that represents a major global health burden. There is an unmet need for effective dengue therapeutics to reduce symptoms, duration of illness and incidence of severe complications. Here, we consider the merits of a dengue human infection model (DHIM) for drug development. A DHIM could allow experimentally controlled studies of candidate therapeutics in preselected susceptible volunteers, potentially using smaller sample sizes than trials that recruited patients with dengue in an endemic country. In addition, the DHIM would assist the conduct of intensive pharmacokinetic and basic research investigations and aid in determining optimal drug dosage. Furthermore, a DHIM could help establish proof of concept that chemoprophylaxis against dengue is feasible. The key challenge in developing the DHIM for drug development is to ensure the model reliably replicates the typical clinical and laboratory features of naturally acquired, symptomatic dengue. © The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America.

  8. Small Signal Modeling and Comprehensive Analysis of Magnetically Coupled Impedance Source Converters

    DEFF Research Database (Denmark)

    Forouzesh, Mojtaba; Siwakoti, Yam Prasad; Blaabjerg, Frede

    2016-01-01

    applications; however, due to effective role of system modeling in the closed-loop controller design, this paper is allocated to small-signal modeling and analysis of MCIS converters. The modeling is performed by means of the circuit averaging and averaged switch technique. A generalized small......-signal derivation is demonstrated for pulse width modulation (PWM) MCIS converters and it is shown that the derived transfer functions can simply be applied to Y-source, Γ-source, and T-source impedance networks. Various transfer functions for capacitor voltage, output voltage, magnetizing current, input and output...... impedance are derived and have been validated through frequency and dynamic responses of computer simulation results. In addition, a comprehensive analysis has been done for all mentioned PWM MCIS converters regarding their circuit parameters. Furthermore, the effect of considering the equivalent series...

  9. Development of the Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills program for adults on the autism spectrum: Results of initial study.

    Science.gov (United States)

    Baker-Ericzén, Mary J; Fitch, Meghan A; Kinnear, Mikaela; Jenkins, Melissa M; Twamley, Elizabeth W; Smith, Linda; Montano, Gabriel; Feder, Joshua; Crooke, Pamela J; Winner, Michelle G; Leon, Juan

    2018-01-01

    The population of adults on the autism spectrum continues to increase, and vocational outcomes are particularly poor. Longitudinal studies of adults with autism spectrum and without intellectual disability have shown consistent and persistent deficits across cognitive, social, and vocational domains, indicating a need for effective treatments of functional disabilities as each impact employment. This initial pilot study is an open trial investigation of the feasibility, acceptability, and initial estimates of outcomes for the newly developed Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills intervention, a manualized "soft skills" curriculum, to enhance both cognitive and social development in adults with autism spectrum. A total of eight adults with autism spectrum, without intellectual disability (78% males), participated in the study. Results support the original hypothesis that adults with autism spectrum can improve both cognitive (i.e. executive functioning) and social cognitive (i.e. social thinking and social communication) abilities. Further Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills was found to be feasible, acceptable, and highly satisfactory for participants and parents. Employment rates more than doubled post-intervention, with an increase from 22% to 56% of participants employed. Conclusion is that Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills has promise as an intervention that can be easily embedded into exiting supported employment vocational training programs to improve cognitive, social, and vocational outcomes.

  10. Using Eye Movements to Model the Sequence of Text-Picture Processing for Multimedia Comprehension

    Science.gov (United States)

    Mason, L.; Scheiter, K.; Tornatora, M. C.

    2017-01-01

    This study used eye movement modeling examples (EMME) to support students' integrative processing of verbal and graphical information during the reading of an illustrated text. EMME consists of a replay of eye movements of a model superimposed onto the materials that are processed for accomplishing the task. Specifically, the study investigated…

  11. A Comprehensive Web-based Platform For Domain-Specific Biological Models

    Czech Academy of Sciences Publication Activity Database

    Klement, M.; Šafránek, D.; Děd, J.; Pejznoch, A.; Nedbal, Ladislav; Steuer, Ralf; Červený, Jan; Müller, Stefan

    2013-01-01

    Roč. 299, 25 Dec (2013), s. 61-67 ISSN 1571-0661 R&D Projects: GA MŠk(CZ) EE2.3.20.0256 Institutional support: RVO:67179843 Keywords : biological models * model annotation * systems biology * simulation * database Subject RIV: EH - Ecology, Behaviour

  12. Statistical modeling to support power system planning

    Science.gov (United States)

    Staid, Andrea

    This dissertation focuses on data-analytic approaches that improve our understanding of power system applications to promote better decision-making. It tackles issues of risk analysis, uncertainty management, resource estimation, and the impacts of climate change. Tools of data mining and statistical modeling are used to bring new insight to a variety of complex problems facing today's power system. The overarching goal of this research is to improve the understanding of the power system risk environment for improved operation, investment, and planning decisions. The first chapter introduces some challenges faced in planning for a sustainable power system. Chapter 2 analyzes the driving factors behind the disparity in wind energy investments among states with a goal of determining the impact that state-level policies have on incentivizing wind energy. Findings show that policy differences do not explain the disparities; physical and geographical factors are more important. Chapter 3 extends conventional wind forecasting to a risk-based focus of predicting maximum wind speeds, which are dangerous for offshore operations. Statistical models are presented that issue probabilistic predictions for the highest wind speed expected in a three-hour interval. These models achieve a high degree of accuracy and their use can improve safety and reliability in practice. Chapter 4 examines the challenges of wind power estimation for onshore wind farms. Several methods for wind power resource assessment are compared, and the weaknesses of the Jensen model are demonstrated. For two onshore farms, statistical models outperform other methods, even when very little information is known about the wind farm. Lastly, chapter 5 focuses on the power system more broadly in the context of the risks expected from tropical cyclones in a changing climate. Risks to U.S. power system infrastructure are simulated under different scenarios of tropical cyclone behavior that may result from climate

  13. Analysis of the cold compaction behavior of titanium powders: a comprehensive inter-model comparison study of compaction equations

    CSIR Research Space (South Africa)

    Machaka, R

    2015-05-01

    Full Text Available A brief background to compaction equations and their application to titanium powder is presented. The behavior and mechanisms of densification in selected titanium powders is critically analyzed by means of a comprehensive inter-model comparison...

  14. 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…

  15. 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.…

  16. 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

  17. A Traceability-based Method to Support Conceptual Model Evolution

    OpenAIRE

    Ruiz Carmona, Luz Marcela

    2014-01-01

    Renewing software systems is one of the most cost-effective ways to protect software investment, which saves time, money and ensures uninter- rupted access to technical support and product upgrades. There are several mo- tivations to promote investment and scientific effort for specifying systems by means of conceptual models and supporting its evolution. As an example, the software engineering community is addressing solutions for supporting model traceability, continuous improvement of busi...

  18. A Comprehensive Model of Electric-Field-Enhanced Jumping-Droplet Condensation on Superhydrophobic Surfaces.

    Science.gov (United States)

    Birbarah, Patrick; Li, Zhaoer; Pauls, Alexander; Miljkovic, Nenad

    2015-07-21

    Superhydrophobic micro/nanostructured surfaces for dropwise condensation have recently received significant attention due to their potential to enhance heat transfer performance by shedding positively charged water droplets via coalescence-induced droplet jumping at length scales below the capillary length and allowing the use of external electric fields to enhance droplet removal and heat transfer, in what has been termed electric-field-enhanced (EFE) jumping-droplet condensation. However, achieving optimal EFE conditions for enhanced heat transfer requires capturing the details of transport processes that is currently lacking. While a comprehensive model has been developed for condensation on micro/nanostructured surfaces, it cannot be applied for EFE condensation due to the dynamic droplet-vapor-electric field interactions. In this work, we developed a comprehensive physical model for EFE condensation on superhydrophobic surfaces by incorporating individual droplet motion, electrode geometry, jumping frequency, field strength, and condensate vapor-flow dynamics. As a first step toward our model, we simulated jumping droplet motion with no external electric field and validated our theoretical droplet trajectories to experimentally obtained trajectories, showing excellent temporal and spatial agreement. We then incorporated the external electric field into our model and considered the effects of jumping droplet size, electrode size and geometry, condensation heat flux, and droplet jumping direction. Our model suggests that smaller jumping droplet sizes and condensation heat fluxes require less work input to be removed by the external fields. Furthermore, the results suggest that EFE electrodes can be optimized such that the work input is minimized depending on the condensation heat flux. To analyze overall efficiency, we defined an incremental coefficient of performance and showed that it is very high (∼10(6)) for EFE condensation. We finally proposed mechanisms

  19. Modeling the Relations Among Morphological Awareness Dimensions, Vocabulary Knowledge, and Reading Comprehension in Adult Basic Education Students

    OpenAIRE

    Tighe, Elizabeth L.; Schatschneider, Christopher

    2016-01-01

    This study extended the findings of Tighe and Schatschneider (2015) by investigating the predictive utility of separate dimensions of morphological awareness as well as vocabulary knowledge to reading comprehension in adult basic education (ABE) students. We competed two- and three-factor structural equation models of reading comprehension. A three-factor model of real word morphological awareness, pseudoword morphological awareness, and vocabulary knowledge emerged as the best fit and accoun...

  20. A methodology to support multidisciplinary model-based water management

    NARCIS (Netherlands)

    Scholten, H.; Kassahun, A.; Refsgaard, J.C.; Kargas, Th.; Gavardinas, C.; Beulens, A.J.M.

    2007-01-01

    Quality assurance in model based water management is needed because of some frequently perceived shortcomings, e.g. a lack of mutual understanding between modelling team members, malpractice and a tendency of modellers to oversell model capabilities. Initiatives to support quality assurance focus on

  1. Organizational Learning Supported by Reference Architecture Models

    DEFF Research Database (Denmark)

    Nardello, Marco; Møller, Charles; Gøtze, John

    2017-01-01

    The wave of the fourth industrial revolution (Industry 4.0) is bringing a new vision of the manufacturing industry. In manufacturing, one of the buzzwords of the moment is “Smart production”. Smart production involves manufacturing equipment with many sensors that can generate and transmit large...... amounts of data. These data and information from manufacturing operations are however not shared in the organization. Therefore the organization is not using them to learn and improve their operations. To address this problem, the authors implemented in an Industry 4.0 laboratory an instance...... of an emerging technical standard specific for the manufacturing industry. Global manufacturing experts consider the Reference Architecture Model Industry 4.0 (RAMI4.0) as one of the corner stones for the implementation of Industry 4.0. The instantiation contributed to organizational learning in the laboratory...

  2. Utilized social support and self-esteem mediate the relationship between perceived social support and suicide ideation. A test of a multiple mediator model.

    Science.gov (United States)

    Kleiman, Evan M; Riskind, John H

    2013-01-01

    While perceived social support has received considerable research as a protective factor for suicide ideation, little attention has been given to the mechanisms that mediate its effects. We integrated two theoretical models, Joiner's (2005) interpersonal theory of suicide and Leary's (Leary, Tambor, Terdal, & Downs, 1995) sociometer theory of self-esteem to investigate two hypothesized mechanisms, utilization of social support and self-esteem. Specifically, we hypothesized that individuals must utilize the social support they perceive that would result in increased self-esteem, which in turn buffers them from suicide ideation. Participants were 172 college students who completed measures of social support, self-esteem, and suicide ideation. Tests of simple mediation indicate that utilization of social support and self-esteem may each individually help to mediate the perceived social support/suicide ideation relationship. Additionally, a test of multiple mediators using bootstrapping supported the hypothesized multiple-mediator model. The use of a cross-sectional design limited our ability to find true cause-and-effect relationships. Results suggested that utilized social support and self-esteem both operate as individual moderators in the social support/self-esteem relationship. Results further suggested, in a comprehensive model, that perceived social support buffers suicide ideation through utilization of social support and increases in self-esteem.

  3. Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model.

    Science.gov (United States)

    Yang, Weichao; Xu, Kui; Lian, Jijian; Bin, Lingling; Ma, Chao

    2018-05-01

    Flood is a serious challenge that increasingly affects the residents as well as policymakers. Flood vulnerability assessment is becoming gradually relevant in the world. The purpose of this study is to develop an approach to reveal the relationship between exposure, sensitivity and adaptive capacity for better flood vulnerability assessment, based on the fuzzy comprehensive evaluation method (FCEM) and coordinated development degree model (CDDM). The approach is organized into three parts: establishment of index system, assessment of exposure, sensitivity and adaptive capacity, and multiple flood vulnerability assessment. Hydrodynamic model and statistical data are employed for the establishment of index system; FCEM is used to evaluate exposure, sensitivity and adaptive capacity; and CDDM is applied to express the relationship of the three components of vulnerability. Six multiple flood vulnerability types and four levels are proposed to assess flood vulnerability from multiple perspectives. Then the approach is applied to assess the spatiality of flood vulnerability in Hainan's eastern area, China. Based on the results of multiple flood vulnerability, a decision-making process for rational allocation of limited resources is proposed and applied to the study area. The study shows that multiple flood vulnerability assessment can evaluate vulnerability more completely, and help decision makers learn more information about making decisions in a more comprehensive way. In summary, this study provides a new way for flood vulnerability assessment and disaster prevention decision. Copyright © 2018 Elsevier Ltd. All rights reserved.

  4. A comprehensive model for executing knowledge management audits in organizations: a systematic review.

    Science.gov (United States)

    Shahmoradi, Leila; Ahmadi, Maryam; Sadoughi, Farahnaz; Piri, Zakieh; Gohari, Mahmood Reza

    2015-01-01

    A knowledge management audit (KMA) is the first phase in knowledge management implementation. Incomplete or incomprehensive execution of the KMA has caused many knowledge management programs to fail. A study was undertaken to investigate how KMAs are performed systematically in organizations and present a comprehensive model for performing KMAs based on a systematic review. Studies were identified by searching electronic databases such as Emerald, LISA, and the Cochrane library and e-journals such as the Oxford Journal and hand searching of printed journals, theses, and books in the Tehran University of Medical Sciences digital library. The sources used in this study consisted of studies available through the digital library of the Tehran University of Medical Sciences that were published between 2000 and 2013, including both Persian- and English-language sources, as well as articles explaining the steps involved in performing a KMA. A comprehensive model for KMAs is presented in this study. To successfully execute a KMA, it is necessary to perform the appropriate preliminary activities in relation to the knowledge management infrastructure, determine the knowledge management situation, and analyze and use the available data on this situation.

  5. Towards a comprehensive framework for cosimulation of dynamic models with an emphasis on time stepping

    Science.gov (United States)

    Hoepfer, Matthias

    co-simulation approach to modeling and simulation. It lays out the general approach to dynamic system co-simulation, and gives a comprehensive overview of what co-simulation is and what it is not. It creates a taxonomy of the requirements and limits of co-simulation, and the issues arising with co-simulating sub-models. Possible solutions towards resolving the stated problems are investigated to a certain depth. A particular focus is given to the issue of time stepping. It will be shown that for dynamic models, the selection of the simulation time step is a crucial issue with respect to computational expense, simulation accuracy, and error control. The reasons for this are discussed in depth, and a time stepping algorithm for co-simulation with unknown dynamic sub-models is proposed. Motivations and suggestions for the further treatment of selected issues are presented.

  6. Comprehensive applied mathematical modeling in the natural and engineering sciences theoretical predictions compared with data

    CERN Document Server

    Wollkind, David J

    2017-01-01

    This text demonstrates the process of comprehensive applied mathematical modeling through the introduction of various case studies.  The case studies are arranged in increasing order of complexity based on the mathematical methods required to analyze the models. The development of these methods is also included, providing a self-contained presentation. To reinforce and supplement the material introduced, original problem sets are offered involving case studies closely related to the ones presented.  With this style, the text’s perspective, scope, and completeness of the subject matter are considered unique. Having grown out of four self-contained courses taught by the authors, this text will be of use in a two-semester sequence for advanced undergraduate and beginning graduate students, requiring rudimentary knowledge of advanced calculus and differential equations, along with a basic understanding of some simple physical and biological scientific principles. .

  7. A Study of Wind Turbine Comprehensive Operational Assessment Model Based on EM-PCA Algorithm

    Science.gov (United States)

    Zhou, Minqiang; Xu, Bin; Zhan, Yangyan; Ren, Danyuan; Liu, Dexing

    2018-01-01

    To assess wind turbine performance accurately and provide theoretical basis for wind farm management, a hybrid assessment model based on Entropy Method and Principle Component Analysis (EM-PCA) was established, which took most factors of operational performance into consideration and reach to a comprehensive result. To verify the model, six wind turbines were chosen as the research objects, the ranking obtained by the method proposed in the paper were 4#>6#>1#>5#>2#>3#, which are completely in conformity with the theoretical ranking, which indicates that the reliability and effectiveness of the EM-PCA method are high. The method could give guidance for processing unit state comparison among different units and launching wind farm operational assessment.

  8. Are complex DCE-MRI models supported by clinical data?

    DEFF Research Database (Denmark)

    Duan, Chong; Kallehauge, Jesper F; Bretthorst, G Larry

    2016-01-01

    PURPOSE: To ascertain whether complex dynamic contrast enhanced (DCE) MRI tracer kinetic models are supported by data acquired in the clinic and to determine the consequences of limited contrast-to-noise. METHODS: Generically representative in silico and clinical (cervical cancer) DCE-MRI data were...... selection is particularly important when high-order, multiparametric models are under consideration. (Parameters obtained from kinetic modeling of cervical cancer clinical DCE-MRI data showed significant changes at an early stage of radiotherapy.)...... examined. Bayesian model selection evaluated support for four compartmental DCE-MRI models: the Tofts model (TM), Extended Tofts model, Compartmental Tissue Uptake model (CTUM), and Two-Compartment Exchange model. RESULTS: Complex DCE-MRI models were more sensitive to noise than simpler models with respect...

  9. Toward a comprehensive, theoretical model of compassion fatigue: An integrative literature review.

    Science.gov (United States)

    Coetzee, Siedine K; Laschinger, Heather K S

    2018-03-01

    This study was an integrative literature review in relation to compassion fatigue models, appraising these models, and developing a comprehensive theoretical model of compassion fatigue. A systematic search on PubMed, EbscoHost (Academic Search Premier, E-Journals, Medline, PsycINFO, Health Source Nursing/Academic Edition, CINAHL, MasterFILE Premier and Health Source Consumer Edition), gray literature, and manual searches of included reference lists was conducted in 2016. The studies (n = 11) were analyzed, and the strengths and limitations of the compassion fatigue models identified. We further built on these models through the application of the conservation of resources theory and the social neuroscience of empathy. The compassion fatigue model shows that it is not empathy that puts nurses at risk of developing compassion fatigue, but rather a lack of resources, inadequate positive feedback, and the nurse's response to personal distress. By acting on these three aspects, the risk of developing compassion fatigue can be addressed, which could improve the retention of a compassionate and committed nurse workforce. © 2017 John Wiley & Sons Australia, Ltd.

  10. An EMTP Comprehensive Model of Tower Grounding and its Simulation Analysis

    Science.gov (United States)

    Wang, Zicheng; Zhang, Yadong; Guo, Jin; Luo, Rong

    2017-05-01

    For the purpose of designing the grounding device of the poles and towers an improved EMTP model is put forward in this paper. The impulse characteristics of the tower grounding under impulse currents are simulated and analysed based on circuit theory. Only the non-linear effects caused by soil ionization are considered in the current studies. And the interactions deriving from the coexistence of segmented grounding electrodes have been neglected. Consequently, the calculated results of the impulse grounding resistance of the complex grounding device such as the tower grounding are not enough accurate using the traditional models. The soil ionization effects are simulated through the non-linear resistance. The current-controlled voltage sources are introduced in the model to take into account the interactions of the segmented grounding electrodes. Then the comprehensive model of the tower grounding is established. Comparison of simulation results with experimental data implies that the tower grounding model proposed in this paper is more accurate and effective than the traditional model.

  11. Modeling the comprehensive air pollution over the southern Hebei cities, China using WRF/Chem

    Science.gov (United States)

    Wang, L.; Ma, X.; Zhang, C.; Zhao, L.; Ji, S.; Ma, S.; Wei, W.; Wei, Z.; Wang, Q.

    2017-12-01

    The three southern cities of Hebei, i.e., Shijiazhuang, Xingtai, and Handan, have been listed in the top polluted cities in China since 2013, suffered from extremely severe haze pollution. In recent several years, the ozone concentration in summer in those cities showed a rapid increase and became another pollution problem. This study applied the Weather Research and Forecasting Model with Chemistry (WRF/Chem) to understand the comprehensive air pollution over this area. Simulations over three domains, East Asia, northern China, and Hebei area, using one way nesting were performed at 36-, 12-, and 4-km horizontal grid resolution, respectively, for the period of January, April, July, and October of 2015. The model performance were evaluate against the National Climate Data Centre (NCDC) integrated meteorological surface database and air quality observations from the China National Environmental Monitoring Center (CNEMC) at more than 1400 national monitoring stations, as well as the chemical compositions of PM2.5 sampled at the Hebei University of Engineering (HEBEU) in Handan. Our results indicate that in general, the WRF/Chem model can reproduce the air pollution over Hebei area, and nesting down to higher resolution will improve the model performance on meteorological predictions. The model overall overestimated the PM2.5 concentrations and underestimate the O3 concentrations. The SO2 concentrations are obviously overpredicted, which may partially attribute to the lack of aerosol heterogeneous chemistry in the model. The improvements of aerosol chemistry and spatial accuracy of emission inventory are needed in future researches.

  12. Supported eText in Captioned Videos: A Comparison of Expanded versus Standard Captions on Student Comprehension of Educational Content

    Science.gov (United States)

    Anderson-Inman, Lynne; Terrazas-Arellanes, Fatima E.

    2009-01-01

    Expanded captions are designed to enhance the educational value by linking unfamiliar words to one of three types of information: vocabulary definitions, labeled illustrations, or concept maps. This study investigated the effects of expanded captions versus standard captions on the comprehension of educational video materials on DVD by secondary…

  13. MOSAIC : Model Of Sustainability And Integrated Corridors, phase 3 : comprehensive model calibration and validation and additional model enhancement.

    Science.gov (United States)

    2015-02-01

    The Maryland State Highway Administration (SHA) has initiated major planning efforts to improve transportation : efficiency, safety, and sustainability on critical highway corridors through its Comprehensive Highway Corridor : (CHC) program. This pro...

  14. A comprehensive and systematic evaluation framework for a parsimonious daily rainfall field model

    Science.gov (United States)

    Bennett, Bree; Thyer, Mark; Leonard, Michael; Lambert, Martin; Bates, Bryson

    2018-01-01

    The spatial distribution of rainfall has a significant influence on catchment dynamics and the generation of streamflow time series. However, there are few stochastic models that can simulate long sequences of stochastic rainfall fields continuously in time and space. To address this issue, the first goal of this study was to present a new parsimonious stochastic model that produces daily rainfall fields across the catchment. To achieve parsimony, the model used the latent-variable approach (because this parsimoniously simulates rainfall occurrences as well as amounts) and several other assumptions (including contemporaneous and separable spatiotemporal covariance structures). The second goal was to develop a comprehensive and systematic evaluation (CASE) framework to identify model strengths and weaknesses. This included quantitative performance categorisation that provided a systematic, succinct and transparent method to assess and summarise model performance over a range of statistics, sites, scales and seasons. The model is demonstrated using a case study from the Onkaparinga catchment in South Australia. The model showed many strengths in reproducing the observed rainfall characteristics with the majority of statistics classified as either statistically indistinguishable from the observed or within 5% of the observed across the majority of sites and seasons. These included rainfall occurrences/amounts, wet/dry spell distributions, annual volumes/extremes and spatial patterns, which are important from a hydrological perspective. One of the few weaknesses of the model was that the total annual rainfall in dry years (lower 5%) was overestimated by 15% on average over all sites. An advantage of the CASE framework was that it was able to identify the source of this overestimation was poor representation of the annual variability of rainfall occurrences. Given the strengths of this continuous daily rainfall field model it has a range of potential hydrological

  15. Support for healthy eating at schools according to the comprehensive school health framework: evaluation during the early years of the Ontario School Food and Beverage Policy implementation.

    Science.gov (United States)

    Orava, Taryn; Manske, Steve; Hanning, Rhona

    2017-09-01

    Provincial, national and international public health agencies recognize the importance of school nutrition policies that help create healthful environments aligned with healthy eating recommendations for youth. School-wide support for healthy living within the pillars of the comprehensive school health (CSH) framework (social and physical environments; teaching and learning; healthy school policy; and partnerships and services) has been positively associated with fostering improvements to student health behaviours. This study used the CSH framework to classify, compare and describe school support for healthy eating during the implementation of the Ontario School Food and Beverage Policy (P/PM 150). We collected data from consenting elementary and secondary schools in a populous region of Ontario in Time I (2012/13) and Time II (2014). Representatives from the schools completed the Healthy School Planner survey and a food environmental scan (FES), which underwent scoring and content analyses. Each school's support for healthy eating was classified as either "initiation," "action" or "maintenance" along the Healthy School Continuum in both time periods, and as "high/increased," "moderate" or "low/decreased" within individual CSH pillars from Time I to Time II. Twenty-five school representatives (8 elementary, 17 secondary) participated. Most schools remained in the "action" category (n = 20) across both time periods, with varying levels of support in the CSH pillars. The physical environment was best supported (100% high/increased support) and the social environment was the least (68% low/decreased support). Only two schools achieved the highest rating (maintenance) in Time II. Supports aligned with P/PM 150 were reportedly influenced by administration buy-in, stakeholder support and relevancy to local context. Further assistance is required to sustain comprehensive support for healthy eating in Ontario school food environments.

  16. Support for healthy eating at schools according to the comprehensive school health framework: evaluation during the early years of the Ontario School Food and Beverage Policy implementation

    Directory of Open Access Journals (Sweden)

    Taryn Orava

    2017-09-01

    Full Text Available Introduction: Provincial, national and international public health agencies recognize the importance of school nutrition policies that help create healthful environments aligned with healthy eating recommendations for youth. School-wide support for healthy living within the pillars of the comprehensive school health (CSH framework (social and physical environments; teaching and learning; healthy school policy; and partnerships and services has been positively associated with fostering improvements to student health behaviours. This study used the CSH framework to classify, compare and describe school support for healthy eating during the implementation of the Ontario School Food and Beverage Policy (P/PM 150. Methods: We collected data from consenting elementary and secondary schools in a populous region of Ontario in Time I (2012/13 and Time II (2014. Representatives from the schools completed the Healthy School Planner survey and a food environmental scan (FES, which underwent scoring and content analyses. Each school’s support for healthy eating was classified as either “initiation,” “action” or “maintenance” along the Healthy School Continuum in both time periods, and as “high/increased,” “moderate” or “low/decreased” within individual CSH pillars from Time I to Time II. Results: Twenty-five school representatives (8 elementary, 17 secondary participated. Most schools remained in the “action” category (n = 20 across both time periods, with varying levels of support in the CSH pillars. The physical environment was best supported (100% high/increased support and the social environment was the least (68% low/decreased support. Only two schools achieved the highest rating (maintenance in Time II. Supports aligned with P/PM 150 were reportedly influenced by administration buy-in, stakeholder support and relevancy to local context. Conclusion: Further assistance is required to sustain comprehensive support for healthy

  17. Topical review: a comprehensive risk model for disordered eating in youth with type 1 diabetes.

    Science.gov (United States)

    Peterson, Claire M; Fischer, Sarah; Young-Hyman, Deborah

    2015-05-01

    Provide an updated literature review on prevalence, measurement, and correlates of disordered eating in youth with Type 1 diabetes (T1D), present a novel theoretical risk model (i.e., The Modified Dual Pathway Model) for disordered eating in youth with T1D incorporating psychosocial and physiological risk factors, and discuss clinical implications. Literature review of prevalence, correlates, risk factors, and outcomes of disordered eating behavior (DEB) in youth with T1D. Insulin treatment, subsequent weight gain, and disruptions to hunger and satiety regulation are hypothesized disease-related mechanisms through which the treatment of T1D may increase vulnerability to development of behavior characterized as DEB. The Modified Dual Pathway Model integrates these factors with a validated psychosocial risk (body dissatisfaction, depression, and abstinence violation) model for DEB in nondiabetic youth. The Modified Dual Pathway model of DEB in youth with T1D is a comprehensive representation of both psychosocial and T1D-related risk factors with the potential to inform future interventions for this population. © The Author 2014. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  18. Isms dimensions: toward a more comprehensive and integrative model of belief-system components.

    Science.gov (United States)

    Saucier, Gerard

    2013-05-01

    Psychological research on beliefs, values, worldview, and ideology has been limited by inadequate structural models to organize the plethora of constructs. The present studies investigate the potential of a dimensional model based on lexical, dictionary-represented -ism concepts to form an organizing structural model. Four isms factors found previously in college samples are shown to replicate in community-sample data with better controls for acquiescent responding. But analyses also reveal a 5th factor involving egalitarianism and inequality-aversion, increasing the comprehensiveness of the structural model. Relations of frequently used constructs (values, authoritarianism, social dominance orientation) to the isms dimensions are detailed, demonstrating both the integrative and value-adding potentials of the model. The possibility of potential additional nonlexical factors (Trust in Government, Ethnocentrism, Xenophobia, and Nativism) is evaluated. Factors identified in these studies are demonstrated to show interesting relations with political-party preference, subjective well-being, and change over time in the Big Five personality dimensions. PsycINFO Database Record (c) 2013 APA, all rights reserved

  19. Estimating the diets of animals using stable isotopes and a comprehensive Bayesian mixing model.

    Directory of Open Access Journals (Sweden)

    John B Hopkins

    Full Text Available Using stable isotope mixing models (SIMMs as a tool to investigate the foraging ecology of animals is gaining popularity among researchers. As a result, statistical methods are rapidly evolving and numerous models have been produced to estimate the diets of animals--each with their benefits and their limitations. Deciding which SIMM to use is contingent on factors such as the consumer of interest, its food sources, sample size, the familiarity a user has with a particular framework for statistical analysis, or the level of inference the researcher desires to make (e.g., population- or individual-level. In this paper, we provide a review of commonly used SIMM models and describe a comprehensive SIMM that includes all features commonly used in SIMM analysis and two new features. We used data collected in Yosemite National Park to demonstrate IsotopeR's ability to estimate dietary parameters. We then examined the importance of each feature in the model and compared our results to inferences from commonly used SIMMs. IsotopeR's user interface (in R will provide researchers a user-friendly tool for SIMM analysis. The model is also applicable for use in paleontology, archaeology, and forensic studies as well as estimating pollution inputs.

  20. Comprehensive evaluation of wind speed distribution models: A case study for North Dakota sites

    International Nuclear Information System (INIS)

    Zhou Junyi; Erdem, Ergin; Li Gong; Shi Jing

    2010-01-01

    Accurate analysis of long term wind data is critical to the estimation of wind energy potential for a candidate location and its nearby area. Investigating the wind speed distribution is one critical task for this purpose. This paper presents a comprehensive evaluation on probability density functions for the wind speed data from five representative sites in North Dakota. Besides the popular Weibull and Rayleigh distributions, we also include other distributions such as gamma, lognormal, inverse Gaussian, and maximum entropy principle (MEP) derived probability density functions (PDFs). Six goodness-of-fit (GOF) statistics are used to determine the appropriate distributions for the wind speed data for each site. It is found that no particular distribution outperforms others for all five sites, while Rayleigh distribution performs poorly for most of the sites. Similar to other models, the performances of MEP-derived PDFs in fitting wind speed data varies from site to site. Also, the results demonstrate that MEP-derived PDFs are flexible and have the potential to capture other possible distribution patterns of wind speed data. Meanwhile, different GOF statistics may generate inconsistent ranking orders of fit performance among the candidate PDFs. In addition, one comprehensive metric that combines all individual statistics is proposed to rank the overall performance for the chosen statistical distributions.

  1. Risk assessment of groundwater contamination: a multilevel fuzzy comprehensive evaluation approach based on DRASTIC model.

    Science.gov (United States)

    Zhang, Qiuwen; Yang, Xiaohong; Zhang, Yan; Zhong, Ming

    2013-01-01

    Groundwater contamination is a serious threat to water supply. Risk assessment of groundwater contamination is an effective way to protect the safety of groundwater resource. Groundwater is a complex and fuzzy system with many uncertainties, which is impacted by different geological and hydrological factors. In order to deal with the uncertainty in the risk assessment of groundwater contamination, we propose an approach with analysis hierarchy process and fuzzy comprehensive evaluation integrated together. Firstly, the risk factors of groundwater contamination are identified by the sources-pathway-receptor-consequence method, and a corresponding index system of risk assessment based on DRASTIC model is established. Due to the complexity in the process of transitions between the possible pollution risks and the uncertainties of factors, the method of analysis hierarchy process is applied to determine the weights of each factor, and the fuzzy sets theory is adopted to calculate the membership degrees of each factor. Finally, a case study is presented to illustrate and test this methodology. It is concluded that the proposed approach integrates the advantages of both analysis hierarchy process and fuzzy comprehensive evaluation, which provides a more flexible and reliable way to deal with the linguistic uncertainty and mechanism uncertainty in groundwater contamination without losing important information.

  2. 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 ...

  3. Comprehensive model-based prediction of micropollutants from diffuse sources in the Swiss river network

    Science.gov (United States)

    Strahm, Ivo; Munz, Nicole; Braun, Christian; Gälli, René; Leu, Christian; Stamm, Christian

    2014-05-01

    Water quality in the Swiss river network is affected by many micropollutants from a variety of diffuse sources. This study compares, for the first time, in a comprehensive manner the diffuse sources and the substance groups that contribute the most to water contamination in Swiss streams and highlights the major regions for water pollution. For this a simple but comprehensive model was developed to estimate emission from diffuse sources for the entire Swiss river network of 65 000 km. Based on emission factors the model calculates catchment specific losses to streams for more than 15 diffuse sources (such as crop lands, grassland, vineyards, fruit orchards, roads, railways, facades, roofs, green space in urban areas, landfills, etc.) and more than 130 different substances from 5 different substance groups (pesticides, biocides, heavy metals, human drugs, animal drugs). For more than 180 000 stream sections estimates of mean annual pollutant loads and mean annual concentration levels were modeled. This data was validated with a set of monitoring data and evaluated based on annual average environmental quality standards (AA-EQS). Model validation showed that the estimated mean annual concentration levels are within the range of measured data. Therefore simulations were considered as adequately robust for identifying the major sources of diffuse pollution. The analysis depicted that in Switzerland widespread pollution of streams can be expected. Along more than 18 000 km of the river network one or more simulated substances has a concentration exceeding the AA-EQS. In single stream sections it could be more than 50 different substances. Moreover, the simulations showed that in two-thirds of small streams (Strahler order 1 and 2) at least one AA-EQS is always exceeded. The highest number of substances exceeding the AA-EQS are in areas with large fractions of arable cropping, vineyards and fruit orchards. Urban areas are also of concern even without considering

  4. Comprehensive impedance model of cobalt deposition in sulfate solutions accounting for homogeneous reactions and adsorptive effects

    International Nuclear Information System (INIS)

    Vazquez-Arenas, Jorge; Pritzker, Mark

    2011-01-01

    A comprehensive physicochemical model for cobalt deposition onto a cobalt rotating disk electrode in sulfate-borate (pH 3) solutions is derived and statistically fit to experimental EIS spectra obtained over a range of CoSO 4 concentrations, overpotentials and rotation speeds. The model accounts for H + and water reduction, homogeneous reactions and mass transport within the boundary layer. Based on a thermodynamic analysis, the species CoSO 4(aq) , B(OH) 3(aq) , B 3 O 3 (OH) 4 - , H + and OH - and two homogeneous reactions (B(OH) 3(aq) hydrolysis and water dissociation) are included in the model. Kinetic and transport parameters are estimated by minimizing the sum-of-squares error between the model and experimental measurements using a simplex method. The electrode response is affected most strongly by parameters associated with the first step of Co(II) reduction, reflecting its control of the rate of Co deposition, and is moderately sensitive to the parameters for H + reduction and the Co(II) diffusion coefficient. Water reduction is found not to occur to any significant extent under the conditions studied. These trends are consistent with that obtained by fitting equivalent electrical circuits to the experimental spectra. The simplest circuit that best fits the data consists of two RQ elements (resistor-constant phase element) in parallel or series with the solution resistance.

  5. A Fuzzy Comprehensive Evaluation Model for Sustainability Risk Evaluation of PPP Projects

    Directory of Open Access Journals (Sweden)

    Libiao Bai

    2017-10-01

    Full Text Available Evaluating the sustainability risk level of public–private partnership (PPP projects can reduce project risk incidents and achieve the sustainable development of the organization. However, the existing studies about PPP projects risk management mainly focus on exploring the impact of financial and revenue risks but ignore the sustainability risks, causing the concept of “sustainability” to be missing while evaluating the risk level of PPP projects. To evaluate the sustainability risk level and achieve the most important objective of providing a reference for the public and private sectors when making decisions on PPP project management, this paper constructs a factor system of sustainability risk of PPP projects based on an extensive literature review and develops a mathematical model based on the methods of fuzzy comprehensive evaluation model (FCEM and failure mode, effects and criticality analysis (FMECA for evaluating the sustainability risk level of PPP projects. In addition, this paper conducts computational experiment based on a questionnaire survey to verify the effectiveness and feasibility of this proposed model. The results suggest that this model is reasonable for evaluating the sustainability risk level of PPP projects. To our knowledge, this paper is the first study to evaluate the sustainability risk of PPP projects, which would not only enrich the theories of project risk management, but also serve as a reference for the public and private sectors for the sustainable planning and development. Keywords: sustainability risk eva

  6. SHARC, a comprehensive non-equilibrium infrared radiation model for the upper atmosphere. Technical report

    Energy Technology Data Exchange (ETDEWEB)

    Sundberg, R.L.; Duff, J.W.; Bernstein, L.S.; Gruninger, J.H.; Matthew, M.W.

    1993-06-21

    A new, first-principles computer model, SHARC, has been developed by the Air Force for the rapid and accurate calculation of non-LTE upper atmospheric infrared radiance and transmittance spectra with a resolution of better than 1/cm. Comprehensive coverage of the 2 micrometers to 40 micrometers (250/cm to 5,000/cm) wavelength region is provided for arbitrary lines of sight in the 50 - 300 km altitude range, accounting for the detailed production, loss, and energy transfer processes among the molecular vibrational states. Auroral production and excitation of CO2, NO, and NO+ are included in addition to quiescent atmospheric processes. Calculated vibrational temperatures are found to be similar to results from other non-LTE codes, and SHARC`s equivalent-width spectral algorithm provides very good agreement with much more time-consuming exact line-by-line methods.

  7. Developing a comprehensive and articulated nuclear training curriculum - the Westinghouse model

    International Nuclear Information System (INIS)

    Scholand, G.W.

    1983-01-01

    The training of nuclear power plant personnel to a level that meets the needs of public safety and plant efficiency has become an important issue. Following an evaluation of its training program, Westinghouse have, after considerable research and development, upgraded their program. This process is described. The steps covered include conducting the task analysis, identifying the appropriate educational domains and taxonomies, writing behavioural objectives, sequencing the objectives, selecting the proper mode of instructional delivery the unit of instruction and evaluating the actual effectiveness of the curriculum product. As these tasks are conducted on a microscopic scale for discrete units of information, a macroscopic analysis is also being conducted to organize and sequence global topic areas, thus producing a comprehensive and articulated curriculum model. (U.K.)

  8. Spreadsheet Decision Support Model for Training Exercise Material Requirements Planning

    National Research Council Canada - National Science Library

    Tringali, Arthur

    1997-01-01

    This thesis focuses on developing a spreadsheet decision support model that can be used by combat engineer platoon and company commanders in determining the material requirements and estimated costs...

  9. Comprehensive analyses of ventricular myocyte models identify targets exhibiting favorable rate dependence.

    Directory of Open Access Journals (Sweden)

    Megan A Cummins

    2014-03-01

    Full Text Available Reverse rate dependence is a problematic property of antiarrhythmic drugs that prolong the cardiac action potential (AP. The prolongation caused by reverse rate dependent agents is greater at slow heart rates, resulting in both reduced arrhythmia suppression at fast rates and increased arrhythmia risk at slow rates. The opposite property, forward rate dependence, would theoretically overcome these parallel problems, yet forward rate dependent (FRD antiarrhythmics remain elusive. Moreover, there is evidence that reverse rate dependence is an intrinsic property of perturbations to the AP. We have addressed the possibility of forward rate dependence by performing a comprehensive analysis of 13 ventricular myocyte models. By simulating populations of myocytes with varying properties and analyzing population results statistically, we simultaneously predicted the rate-dependent effects of changes in multiple model parameters. An average of 40 parameters were tested in each model, and effects on AP duration were assessed at slow (0.2 Hz and fast (2 Hz rates. The analysis identified a variety of FRD ionic current perturbations and generated specific predictions regarding their mechanisms. For instance, an increase in L-type calcium current is FRD when this is accompanied by indirect, rate-dependent changes in slow delayed rectifier potassium current. A comparison of predictions across models identified inward rectifier potassium current and the sodium-potassium pump as the two targets most likely to produce FRD AP prolongation. Finally, a statistical analysis of results from the 13 models demonstrated that models displaying minimal rate-dependent changes in AP shape have little capacity for FRD perturbations, whereas models with large shape changes have considerable FRD potential. This can explain differences between species and between ventricular cell types. Overall, this study provides new insights, both specific and general, into the determinants of

  10. A Generic Modeling Process to Support Functional Fault Model Development

    Science.gov (United States)

    Maul, William A.; Hemminger, Joseph A.; Oostdyk, Rebecca; Bis, Rachael A.

    2016-01-01

    Functional fault models (FFMs) are qualitative representations of a system's failure space that are used to provide a diagnostic of the modeled system. An FFM simulates the failure effect propagation paths within a system between failure modes and observation points. These models contain a significant amount of information about the system including the design, operation and off nominal behavior. The development and verification of the models can be costly in both time and resources. In addition, models depicting similar components can be distinct, both in appearance and function, when created individually, because there are numerous ways of representing the failure space within each component. Generic application of FFMs has the advantages of software code reuse: reduction of time and resources in both development and verification, and a standard set of component models from which future system models can be generated with common appearance and diagnostic performance. This paper outlines the motivation to develop a generic modeling process for FFMs at the component level and the effort to implement that process through modeling conventions and a software tool. The implementation of this generic modeling process within a fault isolation demonstration for NASA's Advanced Ground System Maintenance (AGSM) Integrated Health Management (IHM) project is presented and the impact discussed.

  11. TethysCluster: A comprehensive approach for harnessing cloud resources for hydrologic modeling

    Science.gov (United States)

    Nelson, J.; Jones, N.; Ames, D. P.

    2015-12-01

    Advances in water resources modeling are improving the information that can be supplied to support decisions affecting the safety and sustainability of society. However, as water resources models become more sophisticated and data-intensive they require more computational power to run. Purchasing and maintaining the computing facilities needed to support certain modeling tasks has been cost-prohibitive for many organizations. With the advent of the cloud, the computing resources needed to address this challenge are now available and cost-effective, yet there still remains a significant technical barrier to leverage these resources. This barrier inhibits many decision makers and even trained engineers from taking advantage of the best science and tools available. Here we present the Python tools TethysCluster and CondorPy, that have been developed to lower the barrier to model computation in the cloud by providing (1) programmatic access to dynamically scalable computing resources, (2) a batch scheduling system to queue and dispatch the jobs to the computing resources, (3) data management for job inputs and outputs, and (4) the ability to dynamically create, submit, and monitor computing jobs. These Python tools leverage the open source, computing-resource management, and job management software, HTCondor, to offer a flexible and scalable distributed-computing environment. While TethysCluster and CondorPy can be used independently to provision computing resources and perform large modeling tasks, they have also been integrated into Tethys Platform, a development platform for water resources web apps, to enable computing support for modeling workflows and decision-support systems deployed as web apps.

  12. Model-based optimization biofilm based systems performing autotrophic nitrogen removal using the comprehensive NDHA model

    DEFF Research Database (Denmark)

    Valverde Pérez, Borja; Ma, Yunjie; Morset, Martin

    Completely autotrophic nitrogen removal (CANR) can be obtained in single stage biofilm-based bioreactors. However, their environmental footprint is compromised due to elevated N2O emissions. We developed novel spatially explicit biochemical process model of biofilm based CANR systems that predicts...

  13. Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations.

    Science.gov (United States)

    Xiong, Guanglei; Sun, Peng; Zhou, Haoyin; Ha, Seongmin; Hartaigh, Briain O; Truong, Quynh A; Min, James K

    2017-02-01

    In clinical cardiology, both anatomy and physiology are needed to diagnose cardiac pathologies. CT imaging and computer simulations provide valuable and complementary data for this purpose. However, it remains challenging to gain useful information from the large amount of high-dimensional diverse data. The current tools are not adequately integrated to visualize anatomic and physiologic data from a complete yet focused perspective. We introduce a new computer-aided diagnosis framework, which allows for comprehensive modeling and visualization of cardiac anatomy and physiology from CT imaging data and computer simulations, with a primary focus on ischemic heart disease. The following visual information is presented: (1) Anatomy from CT imaging: geometric modeling and visualization of cardiac anatomy, including four heart chambers, left and right ventricular outflow tracts, and coronary arteries; (2) Function from CT imaging: motion modeling, strain calculation, and visualization of four heart chambers; (3) Physiology from CT imaging: quantification and visualization of myocardial perfusion and contextual integration with coronary artery anatomy; (4) Physiology from computer simulation: computation and visualization of hemodynamics (e.g., coronary blood velocity, pressure, shear stress, and fluid forces on the vessel wall). Substantially, feedback from cardiologists have confirmed the practical utility of integrating these features for the purpose of computer-aided diagnosis of ischemic heart disease.

  14. Comprehensive Interpretation of the Laboratory Experiments Results to Construct Model of the Polish Shale Gas Rocks

    Science.gov (United States)

    Jarzyna, Jadwiga A.; Krakowska, Paulina I.; Puskarczyk, Edyta; Wawrzyniak-Guz, Kamila; Zych, Marcin

    2018-03-01

    More than 70 rock samples from so-called sweet spots, i.e. the Ordovician Sa Formation and Silurian Ja Member of Pa Formation from the Baltic Basin (North Poland) were examined in the laboratory to determine bulk and grain density, total and effective/dynamic porosity, absolute permeability, pore diameters size, total surface area, and natural radioactivity. Results of the pyrolysis, i.e., TOC (Total Organic Carbon) together with S1 and S2 - parameters used to determine the hydrocarbon generation potential of rocks, were also considered. Elemental composition from chemical analyses and mineral composition from XRD measurements were also included. SCAL analysis, NMR experiments, Pressure Decay Permeability measurements together with water immersion porosimetry and adsorption/ desorption of nitrogen vapors method were carried out along with the comprehensive interpretation of the outcomes. Simple and multiple linear statistical regressions were used to recognize mutual relationships between parameters. Observed correlations and in some cases big dispersion of data and discrepancies in the property values obtained from different methods were the basis for building shale gas rock model for well logging interpretation. The model was verified by the result of the Monte Carlo modelling of spectral neutron-gamma log response in comparison with GEM log results.

  15. A Comprehensive Breath Plume Model for Disease Transmission via Expiratory Aerosols

    Science.gov (United States)

    Halloran, S. K.; Wexler, A. S.; Ristenpart, W. D.

    2012-11-01

    The peak in influenza incidence during wintertime represents a longstanding unresolved scientific question. One hypothesis is that the efficacy of airborne transmission via aerosols is increased at low humidity and temperature, conditions that prevail in wintertime. Recent experiments with guinea pigs suggest that transmission is indeed maximized at low humidity and temperature, a finding which has been widely interpreted in terms of airborne influenza virus survivability. This interpretation, however, neglects the effect of the airflow on the transmission probability. Here we provide a comprehensive model for assessing the probability of disease transmission via expiratory aerosols between test animals in laboratory conditions. The spread of aerosols emitted from an infected animal is modeled using dispersion theory for a homogeneous turbulent airflow. The concentration and size distribution of the evaporating droplets in the resulting ``Gaussian breath plume'' are calculated as functions of downstream position. We demonstrate that the breath plume model is broadly consistent with the guinea pig experiments, without invoking airborne virus survivability. Moreover, the results highlight the need for careful characterization of the airflow in airborne transmission experiments.

  16. Cyberinfrastructure to Support Collaborative and Reproducible Computational Hydrologic Modeling

    Science.gov (United States)

    Goodall, J. L.; Castronova, A. M.; Bandaragoda, C.; Morsy, M. M.; Sadler, J. M.; Essawy, B.; Tarboton, D. G.; Malik, T.; Nijssen, B.; Clark, M. P.; Liu, Y.; Wang, S. W.

    2017-12-01

    Creating cyberinfrastructure to support reproducibility of computational hydrologic models is an important research challenge. Addressing this challenge requires open and reusable code and data with machine and human readable metadata, organized in ways that allow others to replicate results and verify published findings. Specific digital objects that must be tracked for reproducible computational hydrologic modeling include (1) raw initial datasets, (2) data processing scripts used to clean and organize the data, (3) processed model inputs, (4) model results, and (5) the model code with an itemization of all software dependencies and computational requirements. HydroShare is a cyberinfrastructure under active development designed to help users store, share, and publish digital research products in order to improve reproducibility in computational hydrology, with an architecture supporting hydrologic-specific resource metadata. Researchers can upload data required for modeling, add hydrology-specific metadata to these resources, and use the data directly within HydroShare.org for collaborative modeling using tools like CyberGIS, Sciunit-CLI, and JupyterHub that have been integrated with HydroShare to run models using notebooks, Docker containers, and cloud resources. Current research aims to implement the Structure For Unifying Multiple Modeling Alternatives (SUMMA) hydrologic model within HydroShare to support hypothesis-driven hydrologic modeling while also taking advantage of the HydroShare cyberinfrastructure. The goal of this integration is to create the cyberinfrastructure that supports hypothesis-driven model experimentation, education, and training efforts by lowering barriers to entry, reducing the time spent on informatics technology and software development, and supporting collaborative research within and across research groups.

  17. Biological control of beet armyworm, Spodoptera exigua, with baculoviruses in greenhouses : development of a comprehensive process-based model

    NARCIS (Netherlands)

    Bianchi, F.J.J.A.; Vlak, J.M.; Rabbinge, R.; Werf, van der W.

    2002-01-01

    We describe the development of a comprehensive process-based model simulating the epizootiology and agronomic efficacy of baculoviruses used for biological control of beet armyworm, Spodoptera exigua, in greenhouse chrysanthemum. The model is built to help understand, evaluate, and predict the

  18. Associating Animations with Concrete Models to Enhance Students' Comprehension of Different Visual Representations in Organic Chemistry

    Science.gov (United States)

    Al-Balushi, Sulaiman M.; Al-Hajri, Sheikha H.

    2014-01-01

    The purpose of the current study is to explore the impact of associating animations with concrete models on eleventh-grade students' comprehension of different visual representations in organic chemistry. The study used a post-test control group quasi-experimental design. The experimental group (N = 28) used concrete models, submicroscopic…

  19. Virginia Tech Comprehensive Power-based Fuel Consumption Model (VT-CPFM: Model Validation and Calibration Considerations

    Directory of Open Access Journals (Sweden)

    Sangjun Park

    2013-12-01

    Full Text Available A power-based vehicle fuel consumption model, entitled the Virginia Tech Comprehensive Power-based Fuel Consumption Model (VT-CPFM that was developed in an earlier publication is validated against in-field fuel consumption measurements. The study demonstrates that the VT-CPFMs calibrated using the EPA city and highway fuel economy ratings generally provide reliable fuel consumption estimates with a coefficient of determination in the range of 0.96. More importantly, both estimates and measurements produce very similar behavioral changes depending on engine load conditions. The VT-CPFMs are demonstrated to be easily calibrated using publically available data without the need to gather in-field instantaneous data.

  20. Reviewing model application to support animal health decision making.

    Science.gov (United States)

    Singer, Alexander; Salman, Mo; Thulke, Hans-Hermann

    2011-04-01

    Animal health is of societal importance as it affects human welfare, and anthropogenic interests shape decision making to assure animal health. Scientific advice to support decision making is manifold. Modelling, as one piece of the scientific toolbox, is appreciated for its ability to describe and structure data, to give insight in complex processes and to predict future outcome. In this paper we study the application of scientific modelling to support practical animal health decisions. We reviewed the 35 animal health related scientific opinions adopted by the Animal Health and Animal Welfare Panel of the European Food Safety Authority (EFSA). Thirteen of these documents were based on the application of models. The review took two viewpoints, the decision maker's need and the modeller's approach. In the reviewed material three types of modelling questions were addressed by four specific model types. The correspondence between tasks and models underpinned the importance of the modelling question in triggering the modelling approach. End point quantifications were the dominating request from decision makers, implying that prediction of risk is a major need. However, due to knowledge gaps corresponding modelling studies often shed away from providing exact numbers. Instead, comparative scenario analyses were performed, furthering the understanding of the decision problem and effects of alternative management options. In conclusion, the most adequate scientific support for decision making - including available modelling capacity - might be expected if the required advice is clearly stated. Copyright © 2011 Elsevier B.V. All rights reserved.

  1. Model based decision support for planning of road maintenance

    NARCIS (Netherlands)

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

    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

  2. Integrating Collaborative and Decentralized Models to Support Ubiquitous Learning

    Science.gov (United States)

    Barbosa, Jorge Luis Victória; Barbosa, Débora Nice Ferrari; Rigo, Sandro José; de Oliveira, Jezer Machado; Rabello, Solon Andrade, Jr.

    2014-01-01

    The application of ubiquitous technologies in the improvement of education strategies is called Ubiquitous Learning. This article proposes the integration between two models dedicated to support ubiquitous learning environments, called Global and CoolEdu. CoolEdu is a generic collaboration model for decentralized environments. Global is an…

  3. Developing a good practice model to evaluate the effectiveness of comprehensive primary health care in local communities.

    Science.gov (United States)

    Lawless, Angela; Freeman, Toby; Bentley, Michael; Baum, Fran; Jolley, Gwyn

    2014-05-15

    This paper describes the development of a model of Comprehensive Primary Health Care (CPHC) applicable to the Australian context. CPHC holds promise as an effective model of health system organization able to improve population health and increase health equity. However, there is little literature that describes and evaluates CPHC as a whole, with most evaluation focusing on specific programs. The lack of a consensus on what constitutes CPHC, and the complex and context-sensitive nature of CPHC are all barriers to evaluation. The research was undertaken in partnership with six Australian primary health care services: four state government funded and managed services, one sexual health non-government organization, and one Aboriginal community controlled health service. A draft model was crafted combining program logic and theory-based approaches, drawing on relevant literature, 68 interviews with primary health care service staff, and researcher experience. The model was then refined through an iterative process involving two to three workshops at each of the six participating primary health care services, engaging health service staff, regional health executives and central health department staff. The resultant Southgate Model of CPHC in Australia model articulates the theory of change of how and why CPHC service components and activities, based on the theory, evidence and values which underpin a CPHC approach, are likely to lead to individual and population health outcomes and increased health equity. The model captures the importance of context, the mechanisms of CPHC, and the space for action services have to work within. The process of development engendered and supported collaborative relationships between researchers and stakeholders and the product provided a description of CPHC as a whole and a framework for evaluation. The model was endorsed at a research symposium involving investigators, service staff, and key stakeholders. The development of a theory

  4. [Model transfer method based on support vector machine].

    Science.gov (United States)

    Xiong, Yu-hong; Wen, Zhi-yu; Liang, Yu-qian; Chen, Qin; Zhang, Bo; Liu, Yu; Xiang, Xian-yi

    2007-01-01

    The model transfer is a basic method to build up universal and comparable performance of spectrometer data by seeking a mathematical transformation relation among different spectrometers. Because of nonlinear effect and small calibration sample set in fact, it is important to solve the problem of model transfer under the condition of nonlinear effect in evidence and small sample set. This paper summarizes support vector machines theory, puts forward the method of model transfer based on support vector machine and piecewise direct standardization, and makes use of computer simulation method, giving a example to explain the method and compare it with artificial neural network in the end.

  5. Are Models Easier to Understand than Code? An Empirical Study on Comprehension of Entity-Relationship (ER) Models vs. Structured Query Language (SQL) Code

    Science.gov (United States)

    Sanchez, Pablo; Zorrilla, Marta; Duque, Rafael; Nieto-Reyes, Alicia

    2011-01-01

    Models in Software Engineering are considered as abstract representations of software systems. Models highlight relevant details for a certain purpose, whereas irrelevant ones are hidden. Models are supposed to make system comprehension easier by reducing complexity. Therefore, models should play a key role in education, since they would ease the…

  6. Comprehensive evaluation of Shahid Motahari Educational Festival during 2008-2013 based on CIPP Evaluation Model

    Directory of Open Access Journals (Sweden)

    SN Hosseini

    2014-09-01

    Full Text Available Introduction: Education quality improvement is one of the main goals of higher education. In this regard, has been provided various solutions such as holding educational Shahid Motahari annual festivals, in order to appreciate of educational process, development and innovation educational processes and procedures, preparation of calibration standards and processes of accrediting educational. The aim of this study was to comprehensive evaluating of educational Shahid Motahari festival during six periods (2008-2013 based on CIPP evaluation model. Method : This cross-sectional study was conducted among the 473 faculty members include deputies and administrators educational, administrators and faculty members of medical education development centers, members of the scientific committee and faculty member’s participants in Shahid Motahari festival from 42 universities medical sciences of Iran. Data collection based on self-report writing questionnaires. Data were analyzed by SPSS version 20 at α=0.05 significant level. Results: The subjects reported 75.13%, 65.33%, 64.5%, and 59.21 % of receivable scores of process, context, input and product, respectively. In addition, there was a direct and significant correlation between all domains . Conclusion : According to the study findings, in the evaluation and correlation of domains models, we can explicitly how to holding festivals was appropriate and the main reason for the poor evaluation in product domain is related to the problems in input and product domains.

  7. Presenting a comprehensive market oriented model and evaluating its impact on organization performance

    Directory of Open Access Journals (Sweden)

    Mohammad Taqi Amini

    2013-08-01

    Full Text Available Like other innovative strategies, companies have paid more attention to market oriented strategies in recent years. This has been focused by organizations for improved effectiveness and the organization performance accelerated a lot in business competition. In responding to this fact, organizations are trying to formulate many of the issues familiar to large organizations, which have involved with market oriented strategy planning. This paper reviews key elements in market-oriented strategy planning with regard to competitiveness and performance in large organizations and outlines a comprehensive model for strategy planning in profit organizations. These elements include environment, top management, organization structure and market oriented strategy. Professional question of this study has a particularly important role in formulating relations of this model. These elements are well positioned to evaluate the impact of market-oriented strategy planning on organizations and their expected impacts on organization performance. A well-organized questionnaire to help organizations with their planning is proposed in this survey. Based on the proposed questionnaire, data obtained from Tehran food industry experts and analyzed by using SEM method. Results accepted eight hypotheses and rejected one.

  8. Grapheme learning and grapheme-color synesthesia: Toward a comprehensive model of grapheme-color association

    Directory of Open Access Journals (Sweden)

    Michiko eAsano

    2013-11-01

    Full Text Available Recent progress in grapheme-color synesthesia research has revealed that certain regularities, as well as individual differences, figure into grapheme-color associations. Although several factors are known to regulate grapheme-color associations, the impact of factors, including their interrelationships, on synesthesia remains unclear. We investigated determinants of synesthetic color for graphemes (characters, letters of Hiragana, a phonetic script in the Japanese language, and the English alphabet. Results revealed that grapheme ordinality was the strongest predictor of synesthetic colors for Hiragana characters, followed by character sound, and visual shape. Ordinality and visual shapes also significantly predicted synesthetic colors for English alphabet letters, however, sounds did not. The relative impact of grapheme properties on grapheme-color associations and the differences between these two writing systems are accounted for by considering the way graphemes are processed in the brain and introduced during an individual's development. A new model is proposed which takes into account the developmental process of grapheme learning. The model provides comprehensive explanation of synesthetic grapheme-color association determination processes, including the differences across writing systems.

  9. Creating comprehensive Mandarin training model for Taiwanese industry: An anticipation of Taiwan ‘Southbound policy

    Science.gov (United States)

    Ying, Y.; Mursitama, T. N.; Sofi; Anggreani, L.

    2018-03-01

    The study discusses the effort of preparing human resources in mastering Mandarin for Taiwan industry as the anticipation of Southbound policy created by Taiwan government. In this point, the Southbound policy represents Taiwan’s government strategy in 2016-2020 which encourages multilateral and bilateral cooperation with ASEAN and South Asian countries. One of the most important elements in the program centers as the Internship Scholarship Program in Taiwan. Utilizing qualitative research methods, researchers collected secondary data from various available official resources. The publications, documents, books, and websites contain the policy and mechanism of the internship scholarship program. On the other hand, this study conducted interviews with senior high school and vocational high school stakeholders to create synergy in the program. This study offers a model of cooperation between junior high school/vocational school and the candidates of the employer in the Taiwan industry. The contribution of this research is to create a comprehensive cooperative model that includes preparing human resources before leaving for Taiwan, providing teachers and supplying training materials that are relevant to the needs of industry players in Taiwan eventually.

  10. Comprehensive modelling for approaching the Kyoto targets on a local scale

    Energy Technology Data Exchange (ETDEWEB)

    Pietrapertosa, F. [Istituto di Metodologie per l' Analisi Ambientale, Tito Scalo (Italy); Universita degli Studi della Basilicata, Potenza (Italy). Dipartimento di Ingegneria e Fisica dell' Ambiente; Cosmi, C.; Marmo, G. [Istituto di Metodologie per l' Analisi Ambientale, Tito Scalo (Italy); Istituto Nazionale di Fisica della Materia, Napoli (Italy); Macchiato, M. [Universita Federico II, Napoli (Italy). Dipartimento di Scienze Fisiche; Salvia, M. [Istituto di Metodologie per l' Analisi Ambientale, Tito Scalo (Italy)

    2003-06-01

    This study aimed to evaluate the effectiveness of the MARKAL comprehensive model in the development of coherent medium-term strategies and sound climate protection policies at local level. The local case study (Val d'Agri, Basilicata region, Italy) discusses the possible role of local communities in the achievement of the national objectives derived by the Kyoto Protocol, investigating the traditional sectors responsible for air pollution and providing a full picture of the main energy and material flows. A scenario analysis was performed to analyse the response of the modelled system to the introduction of an exogenous constraint on carbon dioxide (CO{sub 2}) emissions. The main effects are presented with reference to fuel mix, technology choice, real market prices and reduced costs of competing options. The comparison of the solutions obtained for the different scenarios is useful to point out the effects of the CO{sub 2} constraint on the total system cost and on the emission levels of other atmospheric pollutants. A further multiobjective optimisation was performed to analyse the effects of combined environmental constraints (CO{sub 2} and particulate) on the overall system cost as well as in terms of marginal costs. (author)

  11. The emergence and treatment of anorexia and bulimia nervosa. A comprehensive and practical model.

    Science.gov (United States)

    Blank, Shulamit; Zadik, Zvi; Katz, Inbal; Mahazri, Yemima; Toker, Iris; Barak, Igal

    2002-01-01

    The objective was to propose and describe a new bio-psycho-social model of emergence and maintenance of anorexia nervosa and bulimia nervosa, and demonstrate its application to treatment. An original model, based on literature review and our own clinical experience, was created. Therapeutic guidelines were derived from the theoretical model and applied in the treatment of 97 anorexia and bulimia nervosa patients presented at the eating disorders unit at Kaplan Hospital in Israel over 18 months. A team comprising a pediatrician, a child psychiatrist, a dietician, and trained nurses collaborated in a comprehensive systemic therapeutic approach involving parents, schools, and community agents. Ninety-one girls and six boys were treated in the eating disorder unit (55 had AN, 29 had BN and 13 had EDNOS). Thirty-seven patients were hospitalized and sixty were treated in the outpatient clinic. Mean hospitalization time of the first five patients was 108 days. Mean hospitalization time of the remaining 32 patients was reduced to 32 days. The mean number of outpatient clinic interventions was 12. At the one-year follow up, 74 patients were doing well in all respects. Fourteen patients still needed a lot of supervision in eating. Five are still hospitalized and four were lost to follow up. The proposed model proves to be more than just another theory in that it is successfully applied in treatment. Short systemic therapy is very effective. The longer the delay in drastic, aggressive treatment, the worse the prognosis. Extended hospitalization periods worsen the prognosis. Weakness of the parental unit is a strong indication for inpatient care. The longer the experience in treating eating disorders, the shorter the hospitalization and number of interventions.

  12. A comprehensive experimental and kinetic modeling study of n -propylbenzene combustion

    KAUST Repository

    Yuan, Wenhao

    2017-09-05

    This work presents a comprehensive experimental and kinetic modeling study on the combustion of n-propylbenzene. Flow reactor pyrolysis of n-propylbenzene at 0.04, 0.2 and 1 atm and laminar premixed flames of n-propylbenzene at 0.04 atm with equivalence ratios of 0.75 and 1.00 were investigated with synchrotron vacuum ultraviolet photoionization mass spectrometry. Jet stirred reactor (JSR) oxidation of n-propylbenzene at 10 atm with equivalence ratios of 0.5, 1.0, 1.5 and 2.0 was investigated with gas chromatography. A detailed kinetic model for n-propylbenzene combustion with 340 species and 2069 reactions was developed and validated against the data measured in this work. Model analyses such as rate of production analysis and sensitivity analysis were also performed to reveal the key pathways in the consumption of fuel and formation of polycyclic aromatic hydrocarbons (PAHs). The analysis results demonstrate that the benzylic Csingle bondC bond dissociation reaction is crucial for the decomposition of n-propylbenzene in the pyrolysis and rich flame. Low temperature oxidation reactions play important roles in the high pressure JSR oxidation of n-propylbenzene. In addition, the formation pathways of PAHs are strongly related to the fuel structure, especially for the formation of bicyclic PAHs such as indene and naphthalene. Furthermore, the present model was also validated against previous experimental data of n-propylbenzene combustion under a wide range of conditions, including ignition delay times, laminar flame speeds, extinction strain rates, speciation profiles in atmospheric pressure JSR oxidation, flow reactor oxidation and high pressure shock tube pyrolysis and oxidation.

  13. A comprehensive breath plume model for disease transmission via expiratory aerosols.

    Directory of Open Access Journals (Sweden)

    Siobhan K Halloran

    Full Text Available The peak in influenza incidence during wintertime in temperate regions represents a longstanding, unresolved scientific question. One hypothesis is that the efficacy of airborne transmission via aerosols is increased at lower humidities and temperatures, conditions that prevail in wintertime. Recent work with a guinea pig model by Lowen et al. indicated that humidity and temperature do modulate airborne influenza virus transmission, and several investigators have interpreted the observed humidity dependence in terms of airborne virus survivability. This interpretation, however, neglects two key observations: the effect of ambient temperature on the viral growth kinetics within the animals, and the strong influence of the background airflow on transmission. Here we provide a comprehensive theoretical framework for assessing the probability of disease transmission via expiratory aerosols between test animals in laboratory conditions. The spread of aerosols emitted from an infected animal is modeled using dispersion theory for a homogeneous turbulent airflow. The concentration and size distribution of the evaporating droplets in the resulting "Gaussian breath plume" are calculated as functions of position, humidity, and temperature. The overall transmission probability is modeled with a combination of the time-dependent viral concentration in the infected animal and the probability of droplet inhalation by the exposed animal downstream. We demonstrate that the breath plume model is broadly consistent with the results of Lowen et al., without invoking airborne virus survivability. The results also suggest that, at least for guinea pigs, variation in viral kinetics within the infected animals is the dominant factor explaining the increased transmission probability observed at lower temperatures.

  14. A Comprehensive Piezoelectric Bending-Beam Model Inspired by Microaerial Vehicle Applications

    Science.gov (United States)

    Szabo, Peter Andras Kovacs

    Microaerial vehicles are an up-and-coming area of robotics which is fuelled by modern understanding of the unsteady aerodynamics of insect flight and the development of new actuation technologies. In the past two decades computer simulations have aided in uncovering the lift mechanisms which flying insects use to stay aloft. Using these details, roboticists had begun using lightweight structures and high power density actuators to mimic the physical parameters and flapping kinematics of flying insects with the intent to recreate the dynamics of insect flight. One of the most important aspects of flapping-wing microaerial vehicles is the actuation method. Piezoelectric bending-beam actuators have been scaled up from MEMS technology for use in microaerial vehicle applications owing to their high power density and performance at low mass. The initial development toward the UTIAS Robotic Dragonfly, a microaerial vehicle platform using a piezoelectric-based actuator, is outlined. The components are fabricated from lightweight materials such as a carbon fibre frame, polymide film joints, and polyester film wings while the actuator is a piezoelectric bending-beam which was designed using existing mathematical models. The design and fabrication of the wings, actuator, transmission, and power supply are detailed. The prototypes are measured for lift generation using custom lift sensors which had undergone static and dynamic calibration for low-force, high-bandwidth measurement. Although the resulting lift curves qualitatively correspond with the literature, it was determined that more power was needed for lift-off to be achieved and existing piezoelectric models do not fully account for maximizing the force-deflection relationship. An extension to the existing Ballas model of piezoelectric bending-beam devices is derived. This modified Ballas model incorporates devices beyond constant width. Actuator performance limitations highlighted the need for a more comprehensive

  15. Child poverty. Ways forward for the paediatrician: A comprehensive overview of poverty reduction strategies requiring paediatric support.

    Science.gov (United States)

    Sharma, Suparna; Ford-Jones, Elizabeth

    2015-05-01

    The harmful effects of child poverty are well documented. Despite this, progress in poverty reduction in Canada has been slow. A significant gap exists between what is known about eradicating poverty and its implementation. Paediatricians can play an important role in bridging this gap by understanding and advancing child poverty reduction. Establishment of a comprehensive national poverty reduction plan is essential to improving progress. The present review identifies the key components of an effective poverty reduction strategy. These elements include effective poverty screening, promoting healthy child development and readiness to learn, ensuring food and housing security, providing extended health care coverage for the uninsured and using place-based solutions and team-level interventions. Specific economic interventions are also reviewed. Addressing the social determinants of health in these ways is crucial to narrowing disparities in wealth and health so that all children in Canada reach their full potential.

  16. Measurement of 37Ar to support technology for On-site Inspection under the Comprehensive Nuclear-Test-Ban Treaty

    International Nuclear Information System (INIS)

    Aalseth, Craig E.; Day, Anthony R.; Haas, Derek A.; Hoppe, Eric W.; Hyronimus, Brian J.; Keillor, Martin E.; Mace, Emily K.; Orrell, John L.; Seifert, Allen; Woods, Vincent T.

    2011-01-01

    On-Site Inspection (OSI) is a key component of the verification regime for the Comprehensive Nuclear-Test-Ban Treaty (CTBT). Measurements of radionuclide isotopes created by an underground nuclear explosion are a valuable signature of a Treaty violation. Argon-37 is produced from neutron interaction with calcium in soil, 40Ca(n,α)37Ar. For OSI, the 35-day half-life of 37Ar provides both high specific activity and sufficient time for completion of an inspection before decay limits sensitivity. This paper presents a low-background internal-source gas proportional counter with an 37Ar measurement sensitivity level equivalent to 45.1 mBq/SCM in whole air.

  17. Measurement of 37Ar to support technology for On-Site Inspection under the Comprehensive Nuclear-Test-BanTreaty

    Science.gov (United States)

    Aalseth, C. E.; Day, A. R.; Haas, D. A.; Hoppe, E. W.; Hyronimus, B. J.; Keillor, M. E.; Mace, E. K.; Orrell, J. L.; Seifert, A.; Woods, V. T.

    2011-10-01

    On-Site Inspection (OSI) is a key component of the verification regime for the Comprehensive Nuclear-Test-Ban Treaty (CTBT). Measurements of radionuclide isotopes created by an underground nuclear explosion are a valuable signature of a Treaty violation. Argon-37 is produced by neutron interaction with calcium in soil, 40Ca( n, α) 37Ar. For OSI, the 35-day half-life of 37Ar provides both high specific activity and sufficient time for completion of an inspection before decay limits sensitivity. This paper presents a low-background internal-source gas proportional counter with an 37Ar measurement sensitivity level equivalent to 45 mBq/SCM in wholeair.

  18. Determining Possible Professionals and Respective Roles and Responsibilities for a Model Comprehensive Elder Abuse Intervention: A Delphi Consensus Survey.

    Directory of Open Access Journals (Sweden)

    Janice Du Mont

    Full Text Available We have undertaken a multi-phase, multi-method program of research to develop, implement, and evaluate a comprehensive hospital-based nurse examiner elder abuse intervention that addresses the complex functional, social, forensic, and medical needs of older women and men. In this study, we determined the importance of possible participating professionals and respective roles and responsibilities within the intervention.Using a modified Delphi methodology, recommended professionals and their associated roles and responsibilities were generated from a systematic scoping review of relevant scholarly and grey literatures. These items were reviewed, new items added for review, and rated/re-rated for their importance to the intervention on a 5-point Likert scale by an expert panel during a one day in-person meeting. Items that did not achieve consensus were subsequently re-rated in an online survey.Those items that achieved a mean Likert rating of 4+ (rated important to very important, and an interquartile range<1 in the first or second round, and/or for which 80% of ratings were 4+ in the second round were retained for the model elder abuse intervention.Twenty-two of 31 recommended professionals and 192 of 229 recommended roles and responsibilities rated were retained for our model elder abuse intervention. Retained professionals were: public guardian and trustee (mean rating = 4.88, geriatrician (4.87, police officer (4.87, GEM (geriatric emergency management nurse (4.80, GEM social worker (4.78, community health worker (4.76, social worker/counsellor (4.74, family physician in community (4.71, paramedic (4.65, financial worker (4.59, lawyer (4.59, pharmacist (4.59, emergency physician (4.57, geriatric psychiatrist (4.33, occupational therapist (4.29, family physician in hospital (4.28, Crown prosecutor (4.24, neuropsychologist (4.24, bioethicist (4.18, caregiver advocate (4.18, victim support worker (4.18, and respite care worker (4.12.A large and

  19. State-of-the-art radioecological models implemented in decision support systems for the management of the fresh water environment

    International Nuclear Information System (INIS)

    Monte, Luigi

    2007-01-01

    The present lecture summarises the main results of a review and assessment of state-of-the-art models implemented in computerised decision support systems aimed at assisting the management of fresh water ecosystems contaminated by radioactive substances. The approaches of the various models to simulate the complex behaviour of radionuclides in the aquatic environment were discussed. A critical analysis of the whole sector was carried out in order to frame in a comprehensive perspective several complementary issues: model uncertainty, environmental variability, information incompleteness, multi-model approach, use of models for the decision making. (author)

  20. The Relation between Morphological Awareness and Reading Comprehension: Evidence from Mediation and Longitudinal Models

    Science.gov (United States)

    Deacon, S. Hélène; Kieffer, Michael J.; Laroche, Annie

    2014-01-01

    We examined the role of a hypothesized factor in reading comprehension: morphological awareness, or the awareness of and ability to manipulate the smallest meaningful units or morphemes. In this longitudinal study, we measured English-speaking children's morphological awareness, word reading skills, and reading comprehension at Grades 3 and 4, in…

  1. 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.

  2. Model Checking for Licensing Support in the Finnish Nuclear Industry

    Energy Technology Data Exchange (ETDEWEB)

    Antti, Pakonen; Janne, Valkonen [VTT Technical Research, VTT (Finland); Sami, Matinaho; Markus, Hartikainen [Protum Power and Heat, Fortum (Finland)

    2014-08-15

    This paper examines how model checking can be used to support the qualification of digital I and C software in nuclear power plants, in a way that is consistent with regulatory demands specifically, the common position of seven European nuclear regulators and authorised technical support organisations. As a practical example, we discuss the third-party review service provided by VTT for the power company Fortum in the I and C renewal project of the Loviisa plant in southern Finland.

  3. "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…

  4. A comprehensive model on field-effect pnpn devices (Z2-FET)

    Science.gov (United States)

    Taur, Yuan; Lacord, Joris; Parihar, Mukta Singh; Wan, Jing; Martinie, Sebastien; Lee, Kyunghwa; Bawedin, Maryline; Barbe, Jean-Charles; Cristoloveanu, Sorin

    2017-08-01

    A comprehensive model for field-effect pnpn devices (Z2-FET) is presented. It is based on three current continuity equations coupled to two MOS equations. The model reproduces the characteristic S-shaped I-V curve when the device is driven by a current source. The negative resistance region at intermediate currents occurs as the center junction undergoes a steep transition from reverse to forward bias. Also playing a vital role are the mix and match of the minority carrier diffusion current and the generation recombination current. Physical insights to the key mechanisms at work are gained by regional approximations of the model, from which analytical expressions for the maximum and minimum voltages at the switching points are derived. From 1981 to 2001, he was with the Silicon Technology Department of IBM Thomas J. Watson Research Center, Yorktown Heights, New York, where he was Manager of Exploratory Devices and Processes. Areas in which he has worked and published include latchup-free 1-um CMOS, self-aligned TiSi2, 0.5-um CMOS and BiCMOS, shallow trench isolation, 0.25-um CMOS with n+/p + poly gates, SOI, low-temperature CMOS, and 0.1-um CMOS. Since October 2001, he has been a professor in the Department of Electrical and Computer Engineering, University of California, San Diego. Dr. Yuan Taur was elected a Fellow of the IEEE in 1998. He has served as Editor-in-Chief of the IEEE Electron Device Letters from 1999 to 2011. He authored or co-authored over 200 technical papers and holds 14 U.S. patents. He co-authored a book, ;Fundamentals of Modern VLSI Devices,; published by Cambridge University Press in 1998. The 2nd edition was published in 2009. Dr. Yuan Taur received IEEE Electron Devices Society's J. J. Ebers Award in 2012 ;for contributions to the advancement of several generations of CMOS process technologies.;

  5. A comprehensive simulation model of the performance of photochromic films in absorbance-modulation-optical-lithography

    Directory of Open Access Journals (Sweden)

    Apratim Majumder

    2016-03-01

    Full Text Available Optical lithography is the most prevalent method of fabricating micro-and nano-scale structures in the semiconductor industry due to the fact that patterning using photons is fast, accurate and provides high throughput. However, the resolution of this technique is inherently limited by the physical phenomenon of diffraction. Absorbance-Modulation-Optical Lithography (AMOL, a recently developed technique has been successfully demonstrated to be able to circumvent this diffraction limit. AMOL employs a dual-wavelength exposure system in conjunction with spectrally selective reversible photo-transitions in thin films of photochromic molecules to achieve patterning of features with sizes beyond the far-field diffraction limit. We have developed a finite-element-method based full-electromagnetic-wave solution model that simulates the photo-chemical processes that occur within the thin film of the photochromic molecules under illumination by the exposure and confining wavelengths in AMOL. This model allows us to understand how the material characteristics influence the confinement to sub-diffraction dimensions, of the transmitted point spread function (PSF of the exposure wavelength inside the recording medium. The model reported here provides the most comprehensive analysis of the AMOL process to-date, and the results show that the most important factors that govern the process, are the polarization of the two beams, the ratio of the intensities of the two wavelengths, the relative absorption coefficients and the concentration of the photochromic species, the thickness of the photochromic layer and the quantum yields of the photoreactions at the two wavelengths. The aim of this work is to elucidate the requirements of AMOL in successfully circumventing the far-field diffraction limit.

  6. 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.

  7. 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.

  8. Evaluation of Computational Techniques for Parameter Estimation and Uncertainty Analysis of Comprehensive Watershed Models

    Science.gov (United States)

    Yen, H.; Arabi, M.; Records, R.

    2012-12-01

    The structural complexity of comprehensive watershed models continues to increase in order to incorporate inputs at finer spatial and temporal resolutions and simulate a larger number of hydrologic and water quality responses. Hence, computational methods for parameter estimation and uncertainty analysis of complex models have gained increasing popularity. This study aims to evaluate the performance and applicability of a range of algorithms from computationally frugal approaches to formal implementations of Bayesian statistics using Markov Chain Monte Carlo (MCMC) techniques. The evaluation procedure hinges on the appraisal of (i) the quality of final parameter solution in terms of the minimum value of the objective function corresponding to weighted errors; (ii) the algorithmic efficiency in reaching the final solution; (iii) the marginal posterior distributions of model parameters; (iv) the overall identifiability of the model structure; and (v) the effectiveness in drawing samples that can be classified as behavior-giving solutions. The proposed procedure recognize an important and often neglected issue in watershed modeling that solutions with minimum objective function values may not necessarily reflect the behavior of the system. The general behavior of a system is often characterized by the analysts according to the goals of studies using various error statistics such as percent bias or Nash-Sutcliffe efficiency coefficient. Two case studies are carried out to examine the efficiency and effectiveness of four Bayesian approaches including Metropolis-Hastings sampling (MHA), Gibbs sampling (GSA), uniform covering by probabilistic rejection (UCPR), and differential evolution adaptive Metropolis (DREAM); a greedy optimization algorithm dubbed dynamically dimensioned search (DDS); and shuffle complex evolution (SCE-UA), a widely implemented evolutionary heuristic optimization algorithm. The Soil and Water Assessment Tool (SWAT) is used to simulate hydrologic and

  9. Comprehensive device Simulation modeling of heavily irradiated silicon detectors at cryogenic temperatures

    CERN Document Server

    Moscatelli, F; MacEvoy, B; Hall, G; Passeri, D; Petasecca, M; Pignatel, Giogrio Umberto

    2004-01-01

    Radiation hardness is a critical design concern for present and future silicon detectors in high energy physics. Tracking systems at the CERN Large Hadron Collider (LHC) are expected to operate for ten years and to receive fast hadron fluences equivalent to 10/sup 15/cm /sup -2/ 1-MeV neutrons. Recently, low temperature operating conditions have been suggested as a means of suppressing the negative effects of radiation damage on detector charge collection properties. To investigate this effect, simulations have been carried out using the ISE-TCAD DESSIS device simulator. The so-called "three-level model" has been used. A comprehensive analysis of the influence of the V/sub 2/, C/sub i/O/sub i/ and V/sub 2/O capture cross sections on the effective doping concentration (N/sub eff/) as a function of temperature and fluence has been carried out. The capture cross sections have been varied in the range 10/sup -18/-10/sup -12/ cm/sup 2/. The simulated results are compared with charge collection spectra obtained wit...

  10. Meaning in work and emerging work identities of housing support workers: A quest for a comprehensible plot.

    Science.gov (United States)

    Ericsson, Ulf; Ehliasson, Kent; Bengtsson Tops, Anita

    2015-01-01

    Work and employees are often marginalized in studies on community-based psychiatric care and support systems. This paper highlights the role of the worker at congregated supported housing for people with severe mental illness (SMI). Housing support workers (HSW) are a fairly new professional role and have developed as a result of major changes in Swedish mental health care and services. The development of new roles is not unproblematic and raises intriguing questions. The purpose of this article is to describe housing support workers' experiences of meaning in their work, and in addition illuminate how the work identity of HSWs can be negotiated and constructed. Four focus group interviews were conducted with a total of 25 participants. Additionally, three follow up sessions were conducted with the same participants. The material consists of employees from four different sites. The intepretation of the material was inspired by a constructionist approach. The analysis generated three themes: to do a good job, everyday needs and the formal role. The work identity for HSWs is complex and not easily interpreted. The experience of an unclear assignment affects the description of what is meaningful and important-the work identity and significant affiliations for HSWs. In the long run, this fragmented world can have negative implications for the HSW.

  11. Moving beyond the Three Tier Intervention Pyramid toward a Comprehensive Framework for Student and Learning Supports. A Center Policy Brief

    Science.gov (United States)

    Center for Mental Health in Schools at UCLA, 2011

    2011-01-01

    Introduction into federal policy of response to intervention (RTI) and positive behavior intervention and supports (PBIS) led to widespread adoption and adaptation of the three tier intervention pyramid. As originally presented, the pyramid highlights three different levels of intervention and suggests the percent of students at each level. While…

  12. A tool for urban soundscape evaluation applying Support Vector Machines for developing a soundscape classification model.

    Science.gov (United States)

    Torija, Antonio J; Ruiz, Diego P; Ramos-Ridao, Angel F

    2014-06-01

    To ensure appropriate soundscape management in urban environments, the urban-planning authorities need a range of tools that enable such a task to be performed. An essential step during the management of urban areas from a sound standpoint should be the evaluation of the soundscape in such an area. In this sense, it has been widely acknowledged that a subjective and acoustical categorization of a soundscape is the first step to evaluate it, providing a basis for designing or adapting it to match people's expectations as well. In this sense, this work proposes a model for automatic classification of urban soundscapes. This model is intended for the automatic classification of urban soundscapes based on underlying acoustical and perceptual criteria. Thus, this classification model is proposed to be used as a tool for a comprehensive urban soundscape evaluation. Because of the great complexity associated with the problem, two machine learning techniques, Support Vector Machines (SVM) and Support Vector Machines trained with Sequential Minimal Optimization (SMO), are implemented in developing model classification. The results indicate that the SMO model outperforms the SVM model in the specific task of soundscape classification. With the implementation of the SMO algorithm, the classification model achieves an outstanding performance (91.3% of instances correctly classified). © 2013 Elsevier B.V. All rights reserved.

  13. Health labour market policies in support of universal health coverage: a comprehensive analysis in four African countries.

    Science.gov (United States)

    Sousa, Angelica; Scheffler, Richard M; Koyi, Grayson; Ngah, Symplice Ngah; Abu-Agla, Ayat; M'kiambati, Harrison M; Nyoni, Jennifer

    2014-09-26

    Progress toward universal health coverage in many low- and middle-income countries is hindered by the lack of an adequate health workforce that can deliver quality services accessible to the entire population. We used a health labour market framework to investigate the key indicators of the dynamics of the health labour market in Cameroon, Kenya, Sudan, and Zambia, and identified the main policies implemented in these countries in the past ten years to address shortages and maldistribution of health workers. Despite increased availability of health workers in the four countries, major shortages and maldistribution persist. Several factors aggravate these problems, including migration, an aging workforce, and imbalances in skill mix composition. In this paper, we provide new evidence to inform decision-making for health workforce planning and analysis in low- and middle-income countries. Partial health workforce policies are not sufficient to address these issues. It is crucial to perform a comprehensive analysis in order to understand the dynamics of the health labour market and develop effective polices to address health workforce shortages and maldistribution as part of efforts to attain universal health coverage.

  14. Reliability and Validity of a Simplified Comprehensive Assessment Tool for Feeding Support: Kuchi-Kara Taberu Index.

    Science.gov (United States)

    Maeda, Keisuke; Shamoto, Hiroshi; Wakabayashi, Hidetaka; Enomoto, Junko; Takeichi, Mika; Koyama, Tamami

    2016-12-01

    To verify the reliability and validity and develop an English version of an instrument (Kuchi-Kara Taberu Index (KT Index)) to comprehensively assess and intervene in problems with eating and swallowing. Multicenter cross-sectional study. Nursing homes. Individuals aged 65 and older (mean age 88.3 ± 6.8; 80.0% female) who had lived in a nursing home for longer than 1 month (N = 115). The KT index consisted of 13 items: desire to eat, overall condition, respiratory condition, oral condition, cognitive function while eating, oral preparatory and propulsive phases, dysphagia severity, position and endurance while eating, eating, daily life, food intake level, food modification, and nutrition. Weighted kappa coefficients, Cronbach alpha, and Spearman rank correlation coefficients were determined. Weighted kappa values in the inter- and intrarater reliability tests ranged from 0.54 to 0.96 and 0.68 to 0.98, respectively. Cronbach alpha was 0.892. Spearman rank correlation coefficients (r) between the total KT index and external criteria were determined (Functional Oral Intake Scale, r = 0.790; Barthel Index, r = 0.830; Mini Nutritional Assessment Short Form, r = 0.582; Cognitive Performance Scale, r = -0.673; all P eating and swallowing conditions are needed. © 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.

  15. Internal Models Support Specific Gaits in Orthotic Devices

    DEFF Research Database (Denmark)

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

    2014-01-01

    such limitations is to supply the patient—via the orthosis—with situation-dependent gait models. To achieve this, we present a method for gait recognition using model invalidation. We show that these models are capable to predict the individual patient's movements and supply the correct gait. We investigate...... the system's accuracy and robustness on a Knee-Ankle-Foot-Orthosis, introducing behaviour changes depending on the patient's current walking situation. We conclude that the here presented model-based support of different gaits has the power to enhance the patient's mobility....

  16. Visualisation and interpretation of Support Vector Regression models.

    Science.gov (United States)

    Ustün, B; Melssen, W J; Buydens, L M C

    2007-07-09

    This paper introduces a technique to visualise the information content of the kernel matrix and a way to interpret the ingredients of the Support Vector Regression (SVR) model. Recently, the use of Support Vector Machines (SVM) for solving classification (SVC) and regression (SVR) problems has increased substantially in the field of chemistry and chemometrics. This is mainly due to its high generalisation performance and its ability to model non-linear relationships in a unique and global manner. Modeling of non-linear relationships will be enabled by applying a kernel function. The kernel function transforms the input data, usually non-linearly related to the associated output property, into a high dimensional feature space where the non-linear relationship can be represented in a linear form. Usually, SVMs are applied as a black box technique. Hence, the model cannot be interpreted like, e.g., Partial Least Squares (PLS). For example, the PLS scores and loadings make it possible to visualise and understand the driving force behind the optimal PLS machinery. In this study, we have investigated the possibilities to visualise and interpret the SVM model. Here, we exclusively have focused on Support Vector Regression to demonstrate these visualisation and interpretation techniques. Our observations show that we are now able to turn a SVR black box model into a transparent and interpretable regression modeling technique.

  17. ECO: a generic eutrophication model including comprehensive sediment-water interaction.

    Science.gov (United States)

    Smits, Johannes G C; van Beek, Jan K L

    2013-01-01

    The content and calibration of the comprehensive generic 3D eutrophication model ECO for water and sediment quality is presented. Based on a computational grid for water and sediment, ECO is used as a tool for water quality management to simulate concentrations and mass fluxes of nutrients (N, P, Si), phytoplankton species, detrital organic matter, electron acceptors and related substances. ECO combines integral simulation of water and sediment quality with sediment diagenesis and closed mass balances. Its advanced process formulations for substances in the water column and the bed sediment were developed to allow for a much more dynamic calculation of the sediment-water exchange fluxes of nutrients as resulting from steep concentration gradients across the sediment-water interface than is possible with other eutrophication models. ECO is to more accurately calculate the accumulation of organic matter and nutrients in the sediment, and to allow for more accurate prediction of phytoplankton biomass and water quality in response to mitigative measures such as nutrient load reduction. ECO was calibrated for shallow Lake Veluwe (The Netherlands). Due to restoration measures this lake underwent a transition from hypertrophic conditions to moderately eutrophic conditions, leading to the extensive colonization by submerged macrophytes. ECO reproduces observed water quality well for the transition period of ten years. The values of its process coefficients are in line with ranges derived from literature. ECO's calculation results underline the importance of redox processes and phosphate speciation for the nutrient return fluxes. Among other things, the results suggest that authigenic formation of a stable apatite-like mineral in the sediment can contribute significantly to oligotrophication of a lake after a phosphorus load reduction.

  18. Development of comprehensive and integrated models for inertial fusion cavity dynamics

    International Nuclear Information System (INIS)

    Hassanein, A.; Morozov, V.

    2002-01-01

    The chamber walls in inertial fusion energy (IFE) reactors are exposed to harsh conditions following each target implosion. Key issues of the cyclic IFE operation include intense photon and ion deposition, wall thermal and hydrodynamic evolution, wall erosion and fatigue lifetime, and chamber clearing and evacuation to ensure chamber conditions prior to target implosion. Several methods for wall protection have been proposed in the past, each having its own advantages and disadvantages. These methods include bare walls, gas-filled cavities, and liquid walls/jets. We have developed detailed models for reflected laser light, emitted photon, and target debris deposition and interaction with chamber components and implemented them in the comprehensive HEIGHTS software package. The hydrodynamic response of gas-filled cavities and photon radiation transport of the deposited energy has been calculated using new and advanced numerical techniques. Fragmentation models of liquid jets as a result of the deposited energy have also been developed, and the impact on chamber clearing dynamics has been evaluated. The focus of this study is to critically assess the reliability and the dynamic response of chamber walls in various proposed protection methods in IFE systems. Of particular concern is the effect on wall erosion lifetime of various erosion mechanisms, such as vaporization, chemical and physical sputtering, melt/liquid splashing and explosive erosion, and fragmentation of liquid walls. Mass loss and fragmentation in the form of macroscopic particles can be much larger than mass loss due to surface vaporization and sputtering and have not been properly considered in past studies as part of the overall cavity response and reestablishment. This effect may significantly alter cavity dynamics and power requirements

  19. Emotional and temporal aspects of situation model processing during text comprehension: An event-related fMRI study

    NARCIS (Netherlands)

    Ferstl, E.C.; Rinck, M.; Cramon, D.Y. von

    2005-01-01

    Language comprehension in everyday life requires the continuous integration of prior discourse context and general world knowledge with the current utterance or sentence. In the neurolinguistic literature, these so-called situation model building processes have been ascribed to the prefrontal cortex

  20. Applications of system dynamics modelling to support health policy.

    Science.gov (United States)

    Atkinson, Jo-An M; Wells, Robert; Page, Andrew; Dominello, Amanda; Haines, Mary; Wilson, Andrew

    2015-07-09

    The value of systems science modelling methods in the health sector is increasingly being recognised. Of particular promise is the potential of these methods to improve operational aspects of healthcare capacity and delivery, analyse policy options for health system reform and guide investments to address complex public health problems. Because it lends itself to a participatory approach, system dynamics modelling has been a particularly appealing method that aims to align stakeholder understanding of the underlying causes of a problem and achieve consensus for action. The aim of this review is to determine the effectiveness of system dynamics modelling for health policy, and explore the range and nature of its application. A systematic search was conducted to identify articles published up to April 2015 from the PubMed, Web of Knowledge, Embase, ScienceDirect and Google Scholar databases. The grey literature was also searched. Papers eligible for inclusion were those that described applications of system dynamics modelling to support health policy at any level of government. Six papers were identified, comprising eight case studies of the application of system dynamics modelling to support health policy. No analytic studies were found that examined the effectiveness of this type of modelling. Only three examples engaged multidisciplinary stakeholders in collective model building. Stakeholder participation in model building reportedly facilitated development of a common 'mental map' of the health problem, resulting in consensus about optimal policy strategy and garnering support for collaborative action. The paucity of relevant papers indicates that, although the volume of descriptive literature advocating the value of system dynamics modelling is considerable, its practical application to inform health policy making is yet to be routinely applied and rigorously evaluated. Advances in software are allowing the participatory model building approach to be extended to

  1. Fracture network modeling and GoldSim simulation support

    International Nuclear Information System (INIS)

    Sugita, Kenichiro; Dershowitz, William

    2004-01-01

    During Heisei-15, Golder Associates provided support for JNC Tokai through discrete fracture network data analysis and simulation of the MIU Underground Rock Laboratory, participation in Task 6 of the Aespoe Task Force on Modelling of Groundwater Flow and Transport, and development of methodologies for analysis of repository site characterization strategies and safety assessment. MIU Underground Rock Laboratory support during H-15 involved development of new discrete fracture network (DFN) models for the MIU Shoba-sama Site, in the region of shaft development. Golder developed three DFN models for the site using discrete fracture network, equivalent porous medium (EPM), and nested DFN/EPM approaches. Each of these models were compared based upon criteria established for the multiple modeling project (MMP). Golder supported JNC participation in Task 6AB, 6D and 6E of the Aespoe Task Force on Modelling of Groundwater Flow and Transport during H-15. For Task 6AB, Golder implemented an updated microstructural model in GoldSim, and used this updated model to simulate the propagation of uncertainty from experimental to safety assessment time scales, for 5 m scale transport path lengths. Task 6D and 6E compared safety assessment (PA) and experimental time scale simulations in a 200 m scale discrete fracture network. For Task 6D, Golder implemented a DFN model using FracMan/PA Works, and determined the sensitivity of solute transport to a range of material property and geometric assumptions. For Task 6E, Golder carried out demonstration FracMan/PA Works transport calculations at a 1 million year time scale, to ensure that task specifications are realistic. The majority of work for Task 6E will be carried out during H-16. During H-15, Golder supported JNC's Total System Performance Assessment (TSPO) strategy by developing technologies for the analysis of precipitant concentration. These approaches were based on the GoldSim precipitant data management features, and were

  2. Fracture network modeling and GoldSim simulation support

    International Nuclear Information System (INIS)

    Sugita, Kenichiro; Dershowitz, William

    2003-01-01

    During Heisei-14, Golder Associates provided support for JNC Tokai through data analysis and simulation of the MIU Underground Rock Laboratory, participation in Task 6 of the Aespoe Task Force on Modelling of Groundwater Flow and Transport, and analysis of repository safety assessment technologies including cell networks for evaluation of the disturbed rock zone (DRZ) and total systems performance assessment (TSPA). MIU Underground Rock Laboratory support during H-14 involved discrete fracture network (DFN) modelling in support of the Multiple Modelling Project (MMP) and the Long Term Pumping Test (LPT). Golder developed updated DFN models for the MIU site, reflecting updated analyses of fracture data. Golder also developed scripts to support JNC simulations of flow and transport pathways within the MMP. Golder supported JNC participation in Task 6 of the Aespoe Task Force on Modelling of Groundwater Flow and Transport during H-14. Task 6A and 6B compared safety assessment (PA) and experimental time scale simulations along a pipe transport pathway. Task 6B2 extended Task 6B simulations from 1-D to 2-D. For Task 6B2, Golder carried out single fracture transport simulations on a wide variety of generic heterogeneous 2D fractures using both experimental and safety assessment boundary conditions. The heterogeneous 2D fractures were implemented according to a variety of in plane heterogeneity patterns. Multiple immobile zones were considered including stagnant zones, infillings, altered wall rock, and intact rock. During H-14, JNC carried out extensive studies of the distributed rock zone (DRZ) surrounding repository tunnels and drifts. Golder supported this activity be evaluating the calculation time necessary for simulating a reference heterogeneous DRZ cell network for a range of computational strategies. To support the development of JNC's total system performance assessment (TSPA) strategy, Golder carried out a review of the US DOE Yucca Mountain Project TSPA. This

  3. Fracture network modeling and GoldSim simulation support

    International Nuclear Information System (INIS)

    Sugita, Kenichirou; Dershowitz, W.

    2005-01-01

    During Heisei-16, Golder Associates provided support for JNC Tokai through discrete fracture network data analysis and simulation of the Mizunami Underground Research Laboratory (MIU), participation in Task 6 of the AEspoe Task Force on Modeling of Groundwater Flow and Transport, and development of methodologies for analysis of repository site characterization strategies and safety assessment. MIU support during H-16 involved updating the H-15 FracMan discrete fracture network (DFN) models for the MIU shaft region, and developing improved simulation procedures. Updates to the conceptual model included incorporation of 'Step2' (2004) versions of the deterministic structures, and revision of background fractures to be consistent with conductive structure data from the DH-2 borehole. Golder developed improved simulation procedures for these models through the use of hybrid discrete fracture network (DFN), equivalent porous medium (EPM), and nested DFN/EPM approaches. For each of these models, procedures were documented for the entire modeling process including model implementation, MMP simulation, and shaft grouting simulation. Golder supported JNC participation in Task 6AB, 6D and 6E of the AEspoe Task Force on Modeling of Groundwater Flow and Transport during H-16. For Task 6AB, Golder developed a new technique to evaluate the role of grout in performance assessment time-scale transport. For Task 6D, Golder submitted a report of H-15 simulations to SKB. For Task 6E, Golder carried out safety assessment time-scale simulations at the block scale, using the Laplace Transform Galerkin method. During H-16, Golder supported JNC's Total System Performance Assessment (TSPA) strategy by developing technologies for the analysis of the use site characterization data in safety assessment. This approach will aid in the understanding of the use of site characterization to progressively reduce site characterization uncertainty. (author)

  4. Dansgaard-Oeschger Oscillations in a Comprehensive Model of Glacial Climate

    Science.gov (United States)

    Peltier, W. R.; Vettoretti, G.

    2016-12-01

    One of the most enigmatic modes of climate variability has remained the millenium timescale Dansgaard-Oeschger oscillation, first discovered over 30 years ago on the basis of the surface air temperature proxy provided by oxygen isotopic data from Greenland ice cores. This mode of variability, which was dominant during Oxygen Isotope Stage 3 of the most recent ice-age cycle, has only recently been fully explained through analyses based upon the use of a fully comprehensive model of glacial climate. We demonstrate, using the Community Earth System Model version 1, that D-O oscillations appear spontaneously following a sharp cooling of northern hemsiphere climate associated with a sharp reduction in the strength of the North Atlantic thermohaline circulation as occurs during a typical Heinrich event. The physical mechanism that underlies this mode of variability involves a "salt oscillation", one that is "kicked" into action by the preceding Heinrich event. Individual D-O pulses are of relaxation oscillation form in which a fast timescale shift from cold stadial to warm interstadial conditions is followed by a slow timescale relaxation back to the cold stadial state. We show that the fast timescale initiation of individual pulses is associated with the development of a "super-polynya" in the sea ice lid that caps the North Atlantic under stadial conditions. It is furthermore demonstrated that the D-O oscillations delivered by the coupled climate model are able to fully explain not only the peak-to-peak surface air temperature variations that are inferred to have been characteristic of individual D-O cycles at Summit Greenland but also the characteristic "seesaw" interconnection between the hemispheres that has been established on the basis of complimentary air temperature proxies from Antarctic ice cores. It is of considerable interest that our model replication of the Dansgaard-Oeschger process does not require any contribution to the forcing of the oscillation from

  5. Policy support, norms, and secondhand smoke exposure before and after implementation of a comprehensive smoke-free law in Mexico city.

    Science.gov (United States)

    Thrasher, James F; Pérez-Hernández, Rosaura; Swayampakala, Kamala; Arillo-Santillán, Edna; Bottai, Matteo

    2010-09-01

    We assessed attitudes and beliefs about smoke-free laws, compliance, and secondhand smoke exposure before and after implementation of a comprehensive smoke-free law in Mexico City. Trends and odds of change in attitudes and beliefs were analyzed across 3 representative surveys of Mexico City inhabitants: before implementation of the policy (n=800), 4 months after implementation (n=961), and 8 months after implementation (n=761). Results indicated high and increasing support for 100% smoke-free policies, although support did not increase for smoke-free bars. Agreement that such policies improved health and reinforced rights was high before policy implementation and increased thereafter. Social unacceptability of smoking increased substantially, although 25% of nonsmokers and 50% of smokers agreed with smokers' rights to smoke in public places at the final survey wave. Secondhand smoke exposure declined generally as well as in venues covered by the law, although compliance was incomplete, especially in bars. Comprehensive smoke-free legislation in Mexico City has been relatively successful, with changes in perceptions and behavior consistent with those revealed by studies conducted in high-income countries. Normative changes may prime populations for additional tobacco control interventions.

  6. A telepsychiatry model to support psychiatric outreach in the public ...

    African Journals Online (AJOL)

    A telepsychiatry model to support psychiatric outreach in the public sector in South Africa. J Chipps, S Ramlall, M Mars. Abstract. The access of rural Mental Health Care Users in South Africa to specialist psychiatrists and quality mental health care is currently sub-optimal. Health professionals and planners working in ...

  7. Fracture Network Modeling and GoldSim Simulation Support

    OpenAIRE

    杉田 健一郎; Dershowiz, W.

    2003-01-01

    During Heisei-14, Golder Associates provided support for JNC Tokai through data analysis and simulation of the MIU Underground Rock Laboratory, participation in Task 6 of the Aspo Task Force on Modelling of Groundwater Flow and Transport, and analysis of repository safety assessment technologies including cell networks for evaluation of the disturbed rock zone (DRZ) and total systems performance assessment (TSPA).

  8. Making Risk Models Operational for Situational Awareness and Decision Support

    International Nuclear Information System (INIS)

    Paulson, P.R.; Coles, G.; Shoemaker, S.

    2012-01-01

    We present CARIM, a decision support tool to aid in the evaluation of plans for converting control systems to digital instruments. The model provides the capability to optimize planning and resource allocation to reduce risk from multiple safety and economic perspectives. (author)

  9. Supporting Sophomore Success through a New Learning Community Model

    Science.gov (United States)

    Virtue, Emily E.; Wells, Gayle; Virtue, Andrew D.

    2013-01-01

    The creation of a Sophomore Learning Community (SLC) model can help address concerns about the "sophomore slump" and sophomore attrition. While managing the logistics of a sophomore LC can be difficult, with proper faculty, staff, and administrative support, positive results can be produced. This article outlines the need for Sophomore…

  10. A comprehensive mathematical model of microscopic dose deposition in photodynamic therapy

    International Nuclear Information System (INIS)

    Kang-Hsin Wang, Ken; Mitra, Soumya; Foster, Thomas H.

    2007-01-01

    We have developed a comprehensive theoretical model for rigorously describing the spatial and temporal dynamics of oxygen ( 3 O 2 ) consumption and transport and microscopic photodynamic dose deposition during photodynamic therapy (PDT) in vivo. Previously published models have been improved by considering perfused vessels as a time-dependent 3 O 2 source and linking the 3 O 2 concentration in the vessel to that within the tissue through the Hill equation. The time-dependent photochemical 3 O 2 consumption rate incorporates sensitizer photobleaching effects and an experimentally determined initially nonuniform photosensitizer distribution. The axial transport of 3 O 2 is provided for in the capillaries and in the surrounding tissue. A self-sensitized singlet oxygen ( 1 O 2 )-mediated bleaching mechanism and the measured, initially nonuniform distribution of meso-tetrahydroxyphenyl chlorin at 3 h after intravascular administration were used to demonstrate the capabilities of the model. Time-evolved distributions of 3 O 2 concentration were obtained by numerically solving two-dimensional diffusion-with-reaction equations both in the capillary and the adjacent tissue. Using experimentally established physiological and photophysical parameters, the mathematical model allows computation of the dynamic variation of hemoglobin- 3 O 2 saturation (SO 2 ) within the vessels, irreversible sensitizer degradation due to photobleaching, and the microscopic distributions of 3 O 2 , sensitizer concentration, and 1 O 2 dose deposition under various irradiation conditions. The simulations reveal severe axial gradients in 3 O 2 and in photodynamic dose deposition in response to a wide range of clinically relevant treatment parameters. Thus, unlike former Krogh cylinder-based models, which assume a constant 3 O 2 concentration at the vessel, this new model identifies conditions in which 3 O 2 depletion and minimal deposition of reacting 1 O 2 exist near the end of axial segments of

  11. 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.

  12. A comprehensive scenario of the thermodynamic anomalies of water using the TIP4P/2005 model

    Energy Technology Data Exchange (ETDEWEB)

    González, Miguel A. [Departamento Química Física I, Facultad Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid (Spain); Department of Chemistry, Imperial College London, London SW7 2AZ (United Kingdom); Valeriani, Chantal [Departamento Química Física I, Facultad Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid (Spain); Departamento Física Aplicada I, Facultad Ciencias Físicas, Universidad Complutense de Madrid, 28040 Madrid (Spain); Caupin, Frédéric [Institut Lumière Matière, UMR5306 Université Claude Bernard Lyon 1-CNRS, Université de Lyon, 69622 Villeurbanne Cedex (France); Abascal, José L. F. [Departamento Química Física I, Facultad Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid (Spain)

    2016-08-07

    The striking behavior of water has deserved it to be referred to as an “anomalous” liquid. The water anomalies are greatly amplified in metastable (supercooled and/or stretched) regions. This makes difficult a complete experimental description since, beyond certain limits, the metastable phase necessarily transforms into the stable one. Theoretical interpretation of the water anomalies could then be based on simulation results of well validated water models. But the analysis of the simulations has not yet reached a consensus. In particular, one of the most popular theoretical scenarios—involving the existence of a liquid-liquid critical point (LLCP)—is disputed by several authors. In this work, we propose to use a number of exact thermodynamic relations which may shed light on this issue. Interestingly, these relations may be tested in a region of the phase diagram which is outside the LLCP thus avoiding the problems associated to the coexistence region. The central property connected to other water anomalies is the locus of temperatures at which the density along isobars attain a maximum (TMD line) or a minimum (TmD). We have performed computer simulations to evaluate the TMD and TmD for a successful water model, namely, TIP4P/2005. We have also evaluated the vapor-liquid (VL) spinodal in the region of large negative pressures. The shape of these curves and their connection to the extrema of some response functions, in particular the isothermal compressibility and heat capacity at constant pressure, provides very useful information which may help to elucidate the validity of the theoretical proposals. In this way, we are able to present for the first time a comprehensive scenario of the thermodynamic water anomalies for TIP4P/2005 and their relation to the vapor-liquid spinodal. The overall picture shows a remarkable similarity with the corresponding one for the ST2 water model, for which the existence of a LLCP has been demonstrated in recent years. It

  13. A Comprehensive Physical Impedance Model of Polymer Electrolyte Fuel Cell Cathodes in Oxygen-free Atmosphere.

    Science.gov (United States)

    Obermaier, Michael; Bandarenka, Aliaksandr S; Lohri-Tymozhynsky, Cyrill

    2018-03-21

    Electrochemical impedance spectroscopy (EIS) is an indispensable tool for non-destructive operando characterization of Polymer Electrolyte Fuel Cells (PEFCs). However, in order to interpret the PEFC's impedance response and understand the phenomena revealed by EIS, numerous semi-empirical or purely empirical models are used. In this work, a relatively simple model for PEFC cathode catalyst layers in absence of oxygen has been developed, where all the equivalent circuit parameters have an entire physical meaning. It is based on: (i) experimental quantification of the catalyst layer pore radii, (ii) application of De Levie's analytical formula to calculate the response of a single pore, (iii) approximating the ionomer distribution within every pore, (iv) accounting for the specific adsorption of sulfonate groups and (v) accounting for a small H 2 crossover through ~15 μm ionomer membranes. The derived model has effectively only 6 independent fitting parameters and each of them has clear physical meaning. It was used to investigate the cathode catalyst layer and the double layer capacitance at the interface between the ionomer/membrane and Pt-electrocatalyst. The model has demonstrated excellent results in fitting and interpretation of the impedance data under different relative humidities. A simple script enabling fitting of impedance data is provided as supporting information.

  14. Evaluation of atmospheric dispersion/consequence models supporting safety analysis

    International Nuclear Information System (INIS)

    O'Kula, K.R.; Lazaro, M.A.; Woodard, K.

    1996-01-01

    Two DOE Working Groups have completed evaluation of accident phenomenology and consequence methodologies used to support DOE facility safety documentation. The independent evaluations each concluded that no one computer model adequately addresses all accident and atmospheric release conditions. MACCS2, MATHEW/ADPIC, TRAC RA/HA, and COSYMA are adequate for most radiological dispersion and consequence needs. ALOHA, DEGADIS, HGSYSTEM, TSCREEN, and SLAB are recommended for chemical dispersion and consequence applications. Additional work is suggested, principally in evaluation of new models, targeting certain models for continued development, training, and establishing a Web page for guidance to safety analysts

  15. Dynamic temperature modeling of an SOFC using least squares support vector machines

    Energy Technology Data Exchange (ETDEWEB)

    Kang, Ying-Wei; Li, Jun; Cao, Guang-Yi; Tu, Heng-Yong [Institute of Fuel Cell, Shanghai Jiao Tong University, Shanghai 200240 (China); Li, Jian; Yang, Jie [School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China)

    2008-05-01

    Cell temperature control plays a crucial role in SOFC operation. In order to design effective temperature control strategies by model-based control methods, a dynamic temperature model of an SOFC is presented in this paper using least squares support vector machines (LS-SVMs). The nonlinear temperature dynamics of the SOFC is represented by a nonlinear autoregressive with exogenous inputs (NARXs) model that is implemented using an LS-SVM regression model. Issues concerning the development of the LS-SVM temperature model are discussed in detail, including variable selection, training set construction and tuning of the LS-SVM parameters (usually referred to as hyperparameters). Comprehensive validation tests demonstrate that the developed LS-SVM model is sufficiently accurate to be used independently from the SOFC process, emulating its temperature response from the only process input information over a relatively wide operating range. The powerful ability of the LS-SVM temperature model benefits from the approaches of constructing the training set and tuning hyperparameters automatically by the genetic algorithm (GA), besides the modeling method itself. The proposed LS-SVM temperature model can be conveniently employed to design temperature control strategies of the SOFC. (author)

  16. Coal demand prediction based on a support vector machine model

    Energy Technology Data Exchange (ETDEWEB)

    Jia, Cun-liang; Wu, Hai-shan; Gong, Dun-wei [China University of Mining & Technology, Xuzhou (China). School of Information and Electronic Engineering

    2007-01-15

    A forecasting model for coal demand of China using a support vector regression was constructed. With the selected embedding dimension, the output vectors and input vectors were constructed based on the coal demand of China from 1980 to 2002. After compared with lineal kernel and Sigmoid kernel, a radial basis function(RBF) was adopted as the kernel function. By analyzing the relationship between the error margin of prediction and the model parameters, the proper parameters were chosen. The support vector machines (SVM) model with multi-input and single output was proposed. Compared the predictor based on RBF neural networks with test datasets, the results show that the SVM predictor has higher precision and greater generalization ability. In the end, the coal demand from 2003 to 2006 is accurately forecasted. l0 refs., 2 figs., 4 tabs.

  17. 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.

  18. Comparing comprehensive care and departmental clinical education models: students' perceptions at the University of Tennessee College of Dentistry.

    Science.gov (United States)

    Dehghan, Mojdeh; Harrison, Janet; Langham, Sue; Scarbecz, Mark; Amini, Mehdi

    2015-02-01

    In summer 2012, the University of Tennessee Health Science Center College of Dentistry transitioned from a departmental clinical education model to a comprehensive care/group leader model. The aim of this study was to investigate the perspectives of the fourth-year class of dental students who, because the transition took place during their training, had experienced treating patients under both educational models. To achieve this objective, a questionnaire was designed to assess the students' opinions on the efficiency of their effort, availability of specialty faculty, stress, collaboration with classmates, and availability of exposure to different practice styles and techniques under the two systems. The students were also given an opportunity to provide open-ended feedback on the shortcomings and advantages of the systems. The Class of 2013 had 81 students, 55 of whom participated in the survey for a response rate of 67.9%. The majority (86%) of the respondents preferred the comprehensive care model and reported feeling that, in it, they were able to accomplish more comprehensive dentistry with greater consistency of supervision from faculty in a more patient-centered environment than in the departmental model. However, 56 percent considered having the same group leader for two years a disadvantage and recommended rotation of at least one group leader every six months. The results of this survey can help this college and other dental schools that are seeking to optimize their educational model to best serve students' educational experience and the dental needs of their patient population.

  19. A comprehensive study on photocatalytic activity of supported Ni/Pb sulfide and oxide systems onto natural zeolite nanoparticles

    International Nuclear Information System (INIS)

    Babaahamdi-Milani, Majid; Nezamzadeh-Ejhieh, Alireza

    2016-01-01

    Highlights: • Increase in photocatalytic activity of hybridized/supported PbO/NiO and PbS/NiS systems with respect to semiconductors alone. • Higher efficiency of PbO/NiO than PbS/NiS. • Positive role of p-n junction for enhancement of photocatalytic activity of the used semiconductors. - Abstract: The Ni(II)-Pb(II) exchanged clinoptilolite nanoparticles (NCP) were transformed to corresponding oxides and sulfides via calcination and sulfiding processes, respectively. The obtained catalysts were characterized by XRD, FT-IR, TEM and DRS and used in photodegradation of p-nitrophenol (4-NP) aqueous solution under Hg-lamp irradiation. Results showed considerable increase in activity of the coupled semiconductors with respect to monocomponent one. In NiO-PbO-NCP system, conduction band (CB) of NiO is enough negative for easily migration of photogenerated electrons to CB-PbO level, while such phenomena take place from more negative CB-PbS level to CB-NiS level in NiS-PbS-NCP. These phenomena significantly prevented from electron-hole recombination which increased photocatalytic activity of the coupled semiconductors. Best photodegradation activities obtained by NiO 1.3% –PbO 14.7% -NCP and NiS 2.1% –PbS 10.0% -NCP, confirming semiconductors' mass-ratio dependence of the photocatalytic process. The supported coupled semiconductors showed blue shifts in band gap energies with respect to the bulk semiconductors which confirm formation of semiconductors nanoparticles inside the zeolite framework. The highest degradation percentage of 4-NP was obtained at: 0.5 g L −1 photocatalysts, 15 mg L −1 4-NP at pH 7.5.

  20. The effect of alkylating agents on model supported metal clusters

    Energy Technology Data Exchange (ETDEWEB)

    Erdem-Senatalar, A.; Blackmond, D.G.; Wender, I. (Pittsburgh Univ., PA (USA). Dept. of Chemical and Petroleum Engineering); Oukaci, R. (CERHYD, Algiers (Algeria))

    1988-01-01

    Interactions between model supported metal clusters and alkylating agents were studied in an effort to understand a novel chemical trapping technique developed for identifying species adsorbed on catalyst surfaces. It was found that these interactions are more complex than had previously been suggested. Studies were completed using deuterium-labeled dimethyl sulfate (DMS), (CH{sub 3}){sub 2}SO{sub 4}, as a trapping agent to interact with the supported metal cluster ethylidyne tricobalt enneacarbonyl. Results showed that oxygenated products formed during the trapping reaction contained {minus}OCD{sub 3} groups from the DMS, indicating that the interaction was not a simple alkylation. 18 refs., 1 fig., 3 tabs.

  1. 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.

  2. Support for an expanded tripartite influence model with gay men.

    Science.gov (United States)

    Tylka, Tracy L; Andorka, Michael J

    2012-01-01

    This study investigated whether an expanded tripartite influence model would represent gay men's experiences. This model was extended by adding partners and gay community involvement as sources of social influence and considering dual body image pathways (muscularity and body fat dissatisfaction) to muscularity enhancement and disordered eating behaviors. Latent variable structural equation modeling analyses upheld this model for 346 gay men. Dual body image pathways to body change behaviors were supported, although three unanticipated interrelationships emerged, suggesting that muscularity and body fat concerns and behaviors may be more integrated for gay men. Internalization of the mesomorphic ideal, appearance comparison, muscularity dissatisfaction, and body fat dissatisfaction were key mediators in the model. Of the sources of social influence, friend and media pressure to be lean, gay community involvement, and partner, friend, media, and family pressures to be muscular made incremental contributions. Unexpectedly, certain sources were directly connected to body change behaviors. Copyright © 2011 Elsevier Ltd. All rights reserved.

  3. A comprehensive transcriptome and immune-gene repertoire of the lepidopteran model host Galleria mellonella

    Directory of Open Access Journals (Sweden)

    Glöckner Gernot

    2011-06-01

    Full Text Available Abstract Background The larvae of the greater wax moth Galleria mellonella are increasingly used (i as mini-hosts to study pathogenesis and virulence factors of prominent bacterial and fungal human pathogens, (ii as a whole-animal high throughput infection system for testing pathogen mutant libraries, and (iii as a reliable host model to evaluate the efficacy of antibiotics against human pathogens. In order to compensate for the lack of genomic information in Galleria, we subjected the transcriptome of different developmental stages and immune-challenged larvae to next generation sequencing. Results We performed a Galleria transcriptome characterization on the Roche 454-FLX platform combined with traditional Sanger sequencing to obtain a comprehensive transcriptome. To maximize sequence diversity, we pooled RNA extracted from different developmental stages, larval tissues including hemocytes, and from immune-challenged larvae and normalized the cDNA pool. We generated a total of 789,105 pyrosequencing and 12,032 high-quality Sanger EST sequences which clustered into 18,690 contigs with an average length of 1,132 bases. Approximately 40% of the ESTs were significantly similar (E ≤ e-03 to proteins of other insects, of which 45% have a reported function. We identified a large number of genes encoding proteins with established functions in immunity related sensing of microbial signatures and signaling, as well as effector molecules such as antimicrobial peptides and inhibitors of microbial proteinases. In addition, we found genes known as mediators of melanization or contributing to stress responses. Using the transcriptomic data, we identified hemolymph peptides and proteins induced upon immune challenge by 2D-gelelectrophoresis combined with mass spectrometric analysis. Conclusion Here, we have developed extensive transcriptomic resources for Galleria. The data obtained is rich in gene transcripts related to immunity, expanding remarkably our

  4. Carbon sequestration by patch fertilization: A comprehensive assessment using coupled physical-ecological-biogeochemical models

    Energy Technology Data Exchange (ETDEWEB)

    Sarmiento, Jorge L. [Princeton Univ., NJ (United States); Gnanadesikan, Anand [Princeton Univ., NJ (United States); Gruber, Nicolas [Univ. of California, Los Angeles, CA (United States); Jin, Xin [Univ. of California, Los Angeles, CA (United States); Armstrong, Robert [State Univ. of New York (SUNY), Plattsburgh, NY (United States)

    2007-06-21

    This final report summarizes research undertaken collaboratively between Princeton University, the NOAA Geophysical Fluid Dynamics Laboratory on the Princeton University campus, the State University of New York at Stony Brook, and the University of California, Los Angeles between September 1, 2000, and November 30, 2006, to do fundamental research on ocean iron fertilization as a means to enhance the net oceanic uptake of CO2 from the atmosphere. The approach we proposed was to develop and apply a suite of coupled physical-ecological-biogeochemical models in order to (i) determine to what extent enhanced carbon fixation from iron fertilization will lead to an increase in the oceanic uptake of atmospheric CO2 and how long this carbon will remain sequestered (efficiency), and (ii) examine the changes in ocean ecology and natural biogeochemical cycles resulting from iron fertilization (consequences). The award was funded in two separate three-year installments: September 1, 2000 to November 30, 2003, for a project entitled “Ocean carbon sequestration by fertilization: An integrated biogeochemical assessment.” A final report was submitted for this at the end of 2003 and is included here as Appendix 1; and, December 1, 2003 to November 30, 2006, for a follow-on project under the same grant number entitled “Carbon sequestration by patch fertilization: A comprehensive assessment using coupled physical-ecological-biogeochemical models.” This report focuses primarily on the progress we made during the second period of funding subsequent to the work reported on in Appendix 1. When we began this project, we were thinking almost exclusively in terms of long-term fertilization over large regions of the ocean such as the Southern Ocean, with much of our focus being on how ocean circulation and biogeochemical cycling would interact to control the response to a given fertilization scenario. Our research on these types of scenarios, which was carried out largely during the

  5. DESTINY: A Comprehensive Tool with 3D and Multi-Level Cell Memory Modeling Capability

    Directory of Open Access Journals (Sweden)

    Sparsh Mittal

    2017-09-01

    Full Text Available To enable the design of large capacity memory structures, novel memory technologies such as non-volatile memory (NVM and novel fabrication approaches, e.g., 3D stacking and multi-level cell (MLC design have been explored. The existing modeling tools, however, cover only a few memory technologies, technology nodes and fabrication approaches. We present DESTINY, a tool for modeling 2D/3D memories designed using SRAM, resistive RAM (ReRAM, spin transfer torque RAM (STT-RAM, phase change RAM (PCM and embedded DRAM (eDRAM and 2D memories designed using spin orbit torque RAM (SOT-RAM, domain wall memory (DWM and Flash memory. In addition to single-level cell (SLC designs for all of these memories, DESTINY also supports modeling MLC designs for NVMs. We have extensively validated DESTINY against commercial and research prototypes of these memories. DESTINY is very useful for performing design-space exploration across several dimensions, such as optimizing for a target (e.g., latency, area or energy-delay product for a given memory technology, choosing the suitable memory technology or fabrication method (i.e., 2D v/s 3D for a given optimization target, etc. We believe that DESTINY will boost studies of next-generation memory architectures used in systems ranging from mobile devices to extreme-scale supercomputers. The latest source-code of DESTINY is available from the following git repository: https://bitbucket.org/sparshmittal/destinyv2.

  6. 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.

  7. 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.

  8. Modeling the capacity of riverscapes to support beaver dams

    Science.gov (United States)

    Macfarlane, William W.; Wheaton, Joseph M.; Bouwes, Nicolaas; Jensen, Martha L.; Gilbert, Jordan T.; Hough-Snee, Nate; Shivik, John A.

    2017-01-01

    The construction of beaver dams facilitates a suite of hydrologic, hydraulic, geomorphic, and ecological feedbacks that increase stream complexity and channel-floodplain connectivity that benefit aquatic and terrestrial biota. Depending on where beaver build dams within a drainage network, they impact lateral and longitudinal connectivity by introducing roughness elements that fundamentally change the timing, delivery, and storage of water, sediment, nutrients, and organic matter. While the local effects of beaver dams on streams are well understood, broader coverage network models that predict where beaver dams can be built and highlight their impacts on connectivity across diverse drainage networks are lacking. Here we present a capacity model to assess the limits of riverscapes to support dam-building activities by beaver across physiographically diverse landscapes. We estimated dam capacity with freely and nationally-available inputs to evaluate seven lines of evidence: (1) reliable water source, (2) riparian vegetation conducive to foraging and dam building, (3) vegetation within 100 m of edge of stream to support expansion of dam complexes and maintain large colonies, (4) likelihood that channel-spanning dams could be built during low flows, (5) the likelihood that a beaver dam is likely to withstand typical floods, (6) a suitable stream gradient that is neither too low to limit dam density nor too high to preclude the building or persistence of dams, and (7) a suitable river that is not too large to restrict dam building or persistence. Fuzzy inference systems were used to combine these controlling factors in a framework that explicitly also accounts for model uncertainty. The model was run for 40,561 km of streams in Utah, USA, and portions of surrounding states, predicting an overall network capacity of 356,294 dams at an average capacity of 8.8 dams/km. We validated model performance using 2852 observed dams across 1947 km of streams. The model showed

  9. WWER reactor fuel performance, modelling and experimental support. Proceedings

    International Nuclear Information System (INIS)

    Stefanova, S.; Chantoin, P.; Kolev, I.

    1994-01-01

    This publication is a compilation of 36 papers presented at the International Seminar on WWER Reactor Fuel Performance, Modelling and Experimental Support, organised by the Institute for Nuclear Research and Nuclear Energy (BG), in cooperation with the International Atomic Energy Agency. The Seminar was attended by 76 participants from 16 countries, including representatives of all major Russian plants and institutions responsible for WWER reactor fuel manufacturing, design and research. The reports are grouped in four chapters: 1) WWER Fuel Performance and Economics: Status and Improvement Prospects: 2) WWER Fuel Behaviour Modelling and Experimental Support; 3) Licensing of WWER Fuel and Fuel Analysis Codes; 4) Spent Fuel of WWER Plants. The reports from the corresponding four panel discussion sessions are also included. All individual papers are recorded in INIS as separate items

  10. A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.

    Science.gov (United States)

    Brüderle, Daniel; Petrovici, Mihai A; Vogginger, Bernhard; Ehrlich, Matthias; Pfeil, Thomas; Millner, Sebastian; Grübl, Andreas; Wendt, Karsten; Müller, Eric; Schwartz, Marc-Olivier; de Oliveira, Dan Husmann; Jeltsch, Sebastian; Fieres, Johannes; Schilling, Moritz; Müller, Paul; Breitwieser, Oliver; Petkov, Venelin; Muller, Lyle; Davison, Andrew P; Krishnamurthy, Pradeep; Kremkow, Jens; Lundqvist, Mikael; Muller, Eilif; Partzsch, Johannes; Scholze, Stefan; Zühl, Lukas; Mayr, Christian; Destexhe, Alain; Diesmann, Markus; Potjans, Tobias C; Lansner, Anders; Schüffny, René; Schemmel, Johannes; Meier, Karlheinz

    2011-05-01

    In this article, we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems. We describe in detail a device with 45 million programmable and dynamic synapses that is currently under development, and we sketch the conceptual challenges that arise from taking this platform into operation. More specifically, we aim at the establishment of this neuromorphic system as a flexible and neuroscientifically valuable modeling tool that can be used by non-hardware experts. We consider various functional aspects to be crucial for this purpose, and we introduce a consistent workflow with detailed descriptions of all involved modules that implement the suggested steps: The integration of the hardware interface into the simulator-independent model description language PyNN; a fully automated translation between the PyNN domain and appropriate hardware configurations; an executable specification of the future neuromorphic system that can be seamlessly integrated into this biology-to-hardware mapping process as a test bench for all software layers and possible hardware design modifications; an evaluation scheme that deploys models from a dedicated benchmark library, compares the results generated by virtual or prototype hardware devices with reference software simulations and analyzes the differences. The integration of these components into one hardware-software workflow provides an ecosystem for ongoing preparative studies that support the hardware design process and represents the basis for the maturity of the model-to-hardware mapping software. The functionality and flexibility of the latter is proven with a variety of experimental results.

  11. Potential carbon sequestration of European arable soils estimated by modelling a comprehensive set of management practices.

    Science.gov (United States)

    Lugato, Emanuele; Bampa, Francesca; Panagos, Panos; Montanarella, Luca; Jones, Arwyn

    2014-11-01

    Bottom-up estimates from long-term field experiments and modelling are the most commonly used approaches to estimate the carbon (C) sequestration potential of the agricultural sector. However, when data are required at European level, important margins of uncertainty still exist due to the representativeness of local data at large scale or different assumptions and information utilized for running models. In this context, a pan-European (EU + Serbia, Bosnia and Herzegovina, Montenegro, Albania, Former Yugoslav Republic of Macedonia and Norway) simulation platform with high spatial resolution and harmonized data sets was developed to provide consistent scenarios in support of possible carbon sequestration policies. Using the CENTURY agroecosystem model, six alternative management practices (AMP) scenarios were assessed as alternatives to the business as usual situation (BAU). These consisted of the conversion of arable land to grassland (and vice versa), straw incorporation, reduced tillage, straw incorporation combined with reduced tillage, ley cropping system and cover crops. The conversion into grassland showed the highest soil organic carbon (SOC) sequestration rates, ranging between 0.4 and 0.8 t C ha(-1)  yr(-1) , while the opposite extreme scenario (100% of grassland conversion into arable) gave cumulated losses of up to 2 Gt of C by 2100. Among the other practices, ley cropping systems and cover crops gave better performances than straw incorporation and reduced tillage. The allocation of 12 to 28% of the European arable land to different AMP combinations resulted in a potential SOC sequestration of 101-336 Mt CO2 eq. by 2020 and 549-2141 Mt CO2 eq. by 2100. Modelled carbon sequestration rates compared with values from an ad hoc meta-analysis confirmed the robustness of these estimates. © 2014 John Wiley & Sons Ltd.

  12. A Comprehensive 3D Finite Element Model of a Thermoelectric Module Used in a Power Generator: A Transient Performance Perspective

    Science.gov (United States)

    Wu, Guangxi; Yu, Xiong

    2015-06-01

    Thermoelectric power generator has potential for small-scale and distributed power generation because of its high durability and scalability. It is very important to realize that the transient behavior of thermoelectric modules (TEM) affects a thermoelectric generator's response to dynamic working environments. Traditionally, researchers have used simplified models to describe the behavior of thermoelectric modules. In this paper we propose a comprehensive mathematical model that considers the effect of variations of chemical potential and carrier density, which are ignored by traditional models. Finite element models based on this new model are used to simulate the transient behavior of a thermoelectric module subjected to rapid changes in boundary temperature or working load. Simulation results show that transition times of thermoelectric modules affected by temperature change are much longer than those of modules affected by changes in electrical load resistance. Sudden changes in working temperature cause voltage overshoot of the TEM output, which, however, is not observed in responses to sudden changes of load resistance. Comparisons also show there are significant differences between the behavior of TEM predicted by use of this new comprehensive model and that predicted by use of traditional models, particularly for the high-temperature intrinsic ionization region and the low-temperature weak ionization region. This implies that chemical potential and carrier density variations, which are taken into account by this new model but ignored by traditional models, have major effects on the performance of TEM.

  13. A Model for an Intelligent Support Decision System in Aquaculture

    OpenAIRE

    Novac Ududec, Cornelia / C

    2009-01-01

    The paper purpose an intelligent software system agents–based to support decision in aquculture and the approach of fish diagnosis with informatics methods, techniques and solutions. A major purpose is to develop new methods and techniques for quick fish diagnosis, treatment and prophyilaxis at infectious and parasite-based known disorders, that may occur at fishes raised in high density in intensive raising systems. But, the goal of this paper is to presents a model of an intelligent agents-...

  14. 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.

  15. Modeling bacteria fate and transport in watersheds to support TMDLs

    OpenAIRE

    Benham, B. L.; Baffaut, C.; Zeckoski, R. W.; Mankin, K. R.; Pachepsky, Y. A.; Sadeghi, A. A.; Brannan, Kevin M.; Soupir, M. L.; Habersack, M. J.

    2006-01-01

    Fecal contamination of surface waters is a critical water-quality issue, leading to human illnesses and deaths. Total Maximum Daily Loads (TMDLs), which set pollutant limits, are being developed to address fecal bacteria impairments. Watershed models are widely used to support TMDLs, although their use for simulating in-stream fecal bacteria concentrations is somewhat rudimentary. This article provides an overview of fecal microorganism fate and transport within watersheds, describes current ...

  16. Support vector machine based battery model for electric vehicles

    International Nuclear Information System (INIS)

    Wang Junping; Chen Quanshi; Cao Binggang

    2006-01-01

    The support vector machine (SVM) is a novel type of learning machine based on statistical learning theory that can map a nonlinear function successfully. As a battery is a nonlinear system, it is difficult to establish the relationship between the load voltage and the current under different temperatures and state of charge (SOC). The SVM is used to model the battery nonlinear dynamics in this paper. Tests are performed on an 80Ah Ni/MH battery pack with the Federal Urban Driving Schedule (FUDS) cycle to set up the SVM model. Compared with the Nernst and Shepherd combined model, the SVM model can simulate the battery dynamics better with small amounts of experimental data. The maximum relative error is 3.61%

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

    International Nuclear Information System (INIS)

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

    2012-01-01

    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

  18. 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.

  19. Vector-model-supported approach in prostate plan optimization

    International Nuclear Information System (INIS)

    Liu, Eva Sau Fan; Wu, Vincent Wing Cheung; Harris, Benjamin; Lehman, Margot; Pryor, David; Chan, Lawrence Wing Chi

    2017-01-01

    Lengthy time consumed in traditional manual plan optimization can limit the use of step-and-shoot intensity-modulated radiotherapy/volumetric-modulated radiotherapy (S&S IMRT/VMAT). A vector model base, retrieving similar radiotherapy cases, was developed with respect to the structural and physiologic features extracted from the Digital Imaging and Communications in Medicine (DICOM) files. Planning parameters were retrieved from the selected similar reference case and applied to the test case to bypass the gradual adjustment of planning parameters. Therefore, the planning time spent on the traditional trial-and-error manual optimization approach in the beginning of optimization could be reduced. Each S&S IMRT/VMAT prostate reference database comprised 100 previously treated cases. Prostate cases were replanned with both traditional optimization and vector-model-supported optimization based on the oncologists' clinical dose prescriptions. A total of 360 plans, which consisted of 30 cases of S&S IMRT, 30 cases of 1-arc VMAT, and 30 cases of 2-arc VMAT plans including first optimization and final optimization with/without vector-model-supported optimization, were compared using the 2-sided t-test and paired Wilcoxon signed rank test, with a significance level of 0.05 and a false discovery rate of less than 0.05. For S&S IMRT, 1-arc VMAT, and 2-arc VMAT prostate plans, there was a significant reduction in the planning time and iteration with vector-model-supported optimization by almost 50%. When the first optimization plans were compared, 2-arc VMAT prostate plans had better plan quality than 1-arc VMAT plans. The volume receiving 35 Gy in the femoral head for 2-arc VMAT plans was reduced with the vector-model-supported optimization compared with the traditional manual optimization approach. Otherwise, the quality of plans from both approaches was comparable. Vector-model-supported optimization was shown to offer much shortened planning time and iteration

  20. Transformation of UML Behavioral Diagrams to Support Software Model Checking

    Directory of Open Access Journals (Sweden)

    Luciana Brasil Rebelo dos Santos

    2014-04-01

    Full Text Available Unified Modeling Language (UML is currently accepted as the standard for modeling (object-oriented software, and its use is increasing in the aerospace industry. Verification and Validation of complex software developed according to UML is not trivial due to complexity of the software itself, and the several different UML models/diagrams that can be used to model behavior and structure of the software. This paper presents an approach to transform up to three different UML behavioral diagrams (sequence, behavioral state machines, and activity into a single Transition System to support Model Checking of software developed in accordance with UML. In our approach, properties are formalized based on use case descriptions. The transformation is done for the NuSMV model checker, but we see the possibility in using other model checkers, such as SPIN. The main contribution of our work is the transformation of a non-formal language (UML to a formal language (language of the NuSMV model checker towards a greater adoption in practice of formal methods in software development.

  1. Efficiency of Iranian Translation Syllabus at BA Level; Deficiency: A New Comprehensive Model

    Science.gov (United States)

    Sohrabi, Sarah; Rahimi, Ramin; Arjmandi, Masoume

    2015-01-01

    This study aims at investigating the practicality of the current curriculum for translation studies at national level (Iranian curriculum). It is going to have a comprehensive idea of translation students and teachers (university lecturers) over the current translation syllabus at BA level in Iran. A researcher-made CEQ questionnaire (Curriculum…

  2. CARD 2017: expansion and model-centric curation of the Comprehensive Antibiotic Resistance Database

    Science.gov (United States)

    The Comprehensive Antibiotic Resistance Database (CARD; http://arpcard.mcmaster.ca) is a manually curated resource containing high quality reference data on the molecular basis of antimicrobial resistance (AMR), with an emphasis on the genes, proteins, and mutations involved in AMR. CARD is ontologi...

  3. Understanding How Syntactic Awareness Contributes to Reading Comprehension: Evidence from Mediation and Longitudinal Models

    Science.gov (United States)

    Deacon, S. Hélène; Kieffer, Michael

    2018-01-01

    The authors tested theoretically driven predictions as to the ways in which syntactic awareness, or awareness of word order within sentences, might contribute to reading comprehension, the end goal of reading development and instruction. They conducted a longitudinal study of 100 English-speaking children followed from Grade 3 to 4. Children…

  4. Adapting Structuration Theory as a Comprehensive Theory for Distance Education: The ASTIDE Model

    Science.gov (United States)

    Aktaruzzaman, Md; Plunkett, Margaret

    2016-01-01

    Distance Education (DE) theorists have argued about the requirement for a theory to be comprehensive in a way that can explicate many of the activities associated with DE. Currently, Transactional Distance Theory (TDT) (Moore, 1993) and the Theory of Instructional Dialogue (IDT) (Caspi & Gorsky, 2006) are the most prominent theories, yet they…

  5. Using a Comprehensive Model to Test and Predict the Factors of Online Learning Effectiveness

    Science.gov (United States)

    He, Minyan

    2013-01-01

    As online learning is an important part of higher education, the effectiveness of online learning has been tested with different methods. Although the literature regarding online learning effectiveness has been related to various factors, a more comprehensive review of the factors may result in broader understanding of online learning…

  6. A Comprehensive Hydrologic Projections Resource to support Climate Change Vulnerability Assessments in the Western U.S

    Science.gov (United States)

    Brekke, L. D.; Pruitt, T.; Gangopadhyay, S.; Raff, D. A.

    2010-12-01

    The SECURE Water Act § 9503(b)(2) authorizes the U.S. Department of Interior's Bureau of Reclamation to assess climate change risks for water and environmental resources in eight "major Reclamation river basins" in the Western United States (i.e. Colorado, Columbia, Klamath, Missouri, Rio Grande, Sacramento, San Joaquin, and Truckee basins). The legislation calls for Reclamation to provide periodic reports on implications for water supplies, water deliveries, hydropower generation, fish and wildlife, water quality, flood control, ecological resiliency, and recreation. Reclamation's is developing a framework for consistently characterizing risks in Western U.S. river basins through the West-Wide Climate Risk Assessments, part of the Basin Study Program. One initial activity within this framework is focused on characterizing hydrologic and water supply implications of climate change. The centerpiece of this activity is the development of a west-wide ensemble of hydrologic projections, tiering from information in the online archive "Bias Corrected and Downscaled WCRP CMIP3 Climate Projections" (http://gdo-dcp.ucllnl.org/downscaled_cmip3_projections/dcpInterface.html) and utilizing a network of hydrologic model applications featured in the University of Washington and Princeton University's "Experimental National Hydrologic Prediction System" (http://www.hydro.washington.edu/forecast/westwide/index.shtml). The resulting hydrologic information has the same space and time attributes as the underlying downscaled climate information: 112 projections of monthly downscaled CMIP3 conditions from 1950-2099 at 1/8° resolution over the Western U.S. (nested within the underlying archive’s contiguous U.S. domain). Such attributes permit a time evolving risk-based portrayal of hydrologic conditions, which is useful for climate change adaptation discussions where the timing of impacts matters in relation the initiation and investment of adaptation or mitigation measures

  7. Dansgaard Oeschger Dynamics: Clearly Revealed in a Comprehensive Model of Glacial Climate

    Science.gov (United States)

    Peltier, W. Richard; Vettoretti, Guido

    2017-04-01

    More than 30 years ago, Willi Dansgaard in Copenhagen and Hans Oeschger in Bern established the existence of millennium timescale oscillations in oxygen isotope stratigraphies from Greenland ice cores. This isotopic signal was interpreted as implying large amplitude variations in surface air temperature. Until the publication of Peltier and Vettoretti (2014, GRL) the prevalent view had been that this exclusively ice-age phenomenon, thought to be linked to variability in the strength of the Atlantic MOC, was considered to be forced by the episodic release of freshwater from the continental ice sheets, each oscillation requiring its own freshwater input. In Peltier and Vettoretti (2014) this phenomenon was recovered for the first time in a comprehensive model of glacial climate, specifically the CESM1 model of the NCAR laboratory. Attention was drawn to the fact that individual D-O oscillations, or Bond Cycle clusters of such oscillations, were inevitably preceded by individual Heinrich events. In Peltier and Vettoretti (2014) it was shown that, following the "spin-up" of CESM1 into the glacial state, with continental ice sheet volume held fixed, a sequence of nonlinear unforced and therefor "free" oscillations of the MOC occurred, following a sharp Heinrich event-like sharp suppression of MOC strength. All of the salient characteristics of the D-O process inferred on the basis of ice core evidence from both hemispheres were fully captured in these high (CMIP5) resolution simulations, namely: (i) the pulse shape of the individual oscillations characterized by an extremely rapid shift from cold stadial to warm interstadial conditions followed by a slow return to the stadial state, (ii) the peak-to-peak variations in Greenland surface air temperature of 10-15 degrees Centigrade during individual oscillations, (iii) the "bi-polar see saw" connection between this Northern Hemisphere process and that recorded in the EDML and WAIS Divide ice cores from Antarctica, (iv) the

  8. Nongeneric tool support for model-driven product development; Werkzeugunterstuetzung fuer die modellbasierte Produktentwicklung. Maschinenlesbare Spezifikationen selbst erstellen

    Energy Technology Data Exchange (ETDEWEB)

    Bock, C. [Technische Univ. Kaiserslautern (Germany). Lehrstuhl fuer Produktionsautomatisierung; Zuehlke, D. [Technische Univ. Kaiserslautern (Germany). Lehrstuhl fuer Produktionsautomatisierung; Deutsches Forschungszentrum fuer Kuenstliche Intelligenz (DFKI), Kaiserslautern (DE). Zentrum fuer Mensch-Maschine-Interaktion (ZMMI)

    2006-07-15

    A well-defined specification process is a central success factor in human-machine-interface development. Consequently in interdisciplinary development teams specification documents are an important communication instrument. In order to replace todays typically paper-based specification and to leverage the benefits of their electronic equivalents developers demand comprehensive and applicable computer-based tool kits. Manufacturers' increasing awareness of appropriate tool support causes alternative approaches for tool kit creation to emerge. Therefore this article introduces meta-modelling as a promising attempt to create nongeneric tool support with justifiable effort. This enables manufacturers to take advantage of electronic specifications in product development processes.

  9. Fetal nutrition in lecithotrophic squamate reptiles: toward a comprehensive model for evolution of viviparity and placentation.

    Science.gov (United States)

    Stewart, James R

    2013-07-01

    The primary pattern of embryonic nutrition for squamate reptiles is lecithotrophy; with few exceptions, all squamate embryos mobilize nutrients from yolk. The evolution of viviparity presents an opportunity for an additional source of embryonic nutrition through delivery of uterine secretions, or placentotrophy. This pattern of embryonic nutrition is thought to evolve through placental supplementation of lecithotrophy, followed by increasing dependence on placentotrophy. This review analyzes the relationship between reproductive mode and pattern of embryonic nutrition in three lecithotrophic viviparous species, and oviparous counterparts, for concordance with a current model for the evolution of viviparity and placentation. The assumptions of the model, that nutrients for oviparous embryos are mobilized from yolk, and that this source is not disrupted in the transition to viviparity, are supported for most nutrients. In contrast, calcium, an essential nutrient for embryonic development, is mobilized from both yolk and eggshell by oviparous embryos and reduction of eggshell calcium is correlated with viviparity. If embryonic fitness is compromised by disruption of a primary source of calcium, selection may not favor evolution of viviparity, yet viviparity has arisen independently in numerous squamate lineages. Studies of fetal nutrition in reproductively bimodal species suggest a resolution to this paradox. If uterine calcium secretion occurs during prolonged intrauterine egg retention, calcium placentotrophy evolves prior to viviparity as a replacement for eggshell calcium and embryonic nutrition will not be compromised. This hypothesis is integrated into the current model for evolution of viviparity and placentation to address the unique attributes of calcium nutrition. The sequence of events requires a shift in timing of uterine calcium secretion and the embryonic mechanism of calcium retrieval to be responsive to calcium availability. Regulation of uterine

  10. A study of the Correlation between Primary School Students’ Reading Comprehension Performance and the Learning Styles Based on Memory Modeling

    OpenAIRE

    Erginer, Ergin

    2014-01-01

    A review of literature on learning styles suggest that they are often focused on determining learning styles on the basis of learning preferences, while the number of studies there are fewer studies which determine learning styles on the basis of memory modeling. In addition, the number of studies on the correlation between reading comprehension skills and learning styles remains limited. Designed to determine the correlation between the former and the latter, the present study seeks an answe...

  11. Knowledge representation to support reasoning based on multiple models

    Science.gov (United States)

    Gillam, April; Seidel, Jorge P.; Parker, Alice C.

    1990-01-01

    Model Based Reasoning is a powerful tool used to design and analyze systems, which are often composed of numerous interactive, interrelated subsystems. Models of the subsystems are written independently and may be used together while they are still under development. Thus the models are not static. They evolve as information becomes obsolete, as improved artifact descriptions are developed, and as system capabilities change. Researchers are using three methods to support knowledge/data base growth, to track the model evolution, and to handle knowledge from diverse domains. First, the representation methodology is based on having pools, or types, of knowledge from which each model is constructed. In addition information is explicit. This includes the interactions between components, the description of the artifact structure, and the constraints and limitations of the models. The third principle we have followed is the separation of the data and knowledge from the inferencing and equation solving mechanisms. This methodology is used in two distinct knowledge-based systems: one for the design of space systems and another for the synthesis of VLSI circuits. It has facilitated the growth and evolution of our models, made accountability of results explicit, and provided credibility for the user community. These capabilities have been implemented and are being used in actual design projects.

  12. Energy modelling platforms for policy and strategy support

    International Nuclear Information System (INIS)

    Dyner, I.

    2000-01-01

    The energy field has been dominated by 'hard' modelling approaches by researchers from engineering and economics discipline. The recent trend towards a more liberalised environment moves away from central planning to market-based resource allocation, leading to the creation and use of strategic tools, with much 'softer' specifications, in the 'system-thinking' tradition. This paper presents the use of system dynamics in a generalised way, to provide a platform for integrated energy analysis. Issues of modularity and policy evolution are important in the design of the modelling platform to facilitate its use, and reuse. Hence the concepts of a platform, rather than a model, has to be implemented in a coherent way if it is to provide sustained value for ongoing support to both government policy and corporate strategy. (author)

  13. Job Demands-Control-Support model and employee safety performance.

    Science.gov (United States)

    Turner, Nick; Stride, Chris B; Carter, Angela J; McCaughey, Deirdre; Carroll, Anthony E

    2012-03-01

    The aim of this study was to explore whether work characteristics (job demands, job control, social support) comprising Karasek and Theorell's (1990) Job Demands-Control-Support framework predict employee safety performance (safety compliance and safety participation; Neal and Griffin, 2006). We used cross-sectional data of self-reported work characteristics and employee safety performance from 280 healthcare staff (doctors, nurses, and administrative staff) from Emergency Departments of seven hospitals in the United Kingdom. We analyzed these data using a structural equation model that simultaneously regressed safety compliance and safety participation on the main effects of each of the aforementioned work characteristics, their two-way interactions, and the three-way interaction among them, while controlling for demographic, occupational, and organizational characteristics. Social support was positively related to safety compliance, and both job control and the two-way interaction between job control and social support were positively related to safety participation. How work design is related to employee safety performance remains an important area for research and provides insight into how organizations can improve workplace safety. The current findings emphasize the importance of the co-worker in promoting both safety compliance and safety participation. Crown Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

  14. 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.

  15. 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

  16. The Sankara Nethralaya mobile teleophthalmology model for comprehensive eye care delivery in rural India.

    Science.gov (United States)

    John, Sheila; Sengupta, Sabyasachi; Reddy, Sumanth J; Prabhu, Pearlson; Kirubanandan, Krishan; Badrinath, Sengamedu S

    2012-06-01

    Teleophthalmology holds great potential to overcome barriers and improve quality, access, and affordability in eye care. We introduced mobile units for comprehensive eye care delivery and have successfully conducted eye camps over the past 1.5 years. Here we describe the current process and review results of conducting comprehensive eye camps with the aid of teleophthalmology mobile units and determine major causes of avoidable blindness in central and south India. Retrospective chart reviews of all the camps were done as a part of the rural teleophthalmology project of Sankara Nethralaya during the period of April 2009-September 2010. Speciality consultation was achieved by means of teleophthalmology during which images were converted to Digital Imaging and Communications in Medicine standard and transferred to the base hospital by a satellite link using a very small aperture terminal at 256-384 kilobits per second with store-and-forward technology as well as real-time videoconferencing when possible. In addition to comprehensive examination, schoolteachers were trained to assess visual acuity, and various public awareness activities were undertaken. Over the 1.5-year study period, 54,751 patients underwent evaluation at 872 camps across four states in India. Among these, uncorrected refractive error was the commonest cause of avoidable blindness (59%), followed by cataract (30%). Retinal diseases, mainly diabetic retinopathy, contributed 3.3% of avoidable blindness, and corneal diseases accounted for another 1%. Comprehensive eye camps utilizing a mobile teleophthalmology unit appears to be a very useful tool to improve eye care delivery in the developing world.

  17. Numerical Model Metrics Tools in Support of Navy Operations

    Science.gov (United States)

    Dykes, J. D.; Fanguy, P.

    2017-12-01

    Increasing demands of accurate ocean forecasts that are relevant to the Navy mission decision makers demand tools that quickly provide relevant numerical model metrics to the forecasters. Increasing modelling capabilities with ever-higher resolution domains including coupled and ensemble systems as well as the increasing volume of observations and other data sources to which to compare the model output requires more tools for the forecaster to enable doing more with less. These data can be appropriately handled in a geographic information system (GIS) fused together to provide useful information and analyses, and ultimately a better understanding how the pertinent model performs based on ground truth.. Oceanographic measurements like surface elevation, profiles of temperature and salinity, and wave height can all be incorporated into a set of layers correlated to geographic information such as bathymetry and topography. In addition, an automated system that runs concurrently with the models on high performance machines matches routinely available observations to modelled values to form a database of matchups with which statistics can be calculated and displayed, to facilitate validation of forecast state and derived variables. ArcMAP, developed by Environmental Systems Research Institute, is a GIS application used by the Naval Research Laboratory (NRL) and naval operational meteorological and oceanographic centers to analyse the environment in support of a range of Navy missions. For example, acoustic propagation in the ocean is described with a three-dimensional analysis of sound speed that depends on profiles of temperature, pressure and salinity predicted by the Navy Coastal Ocean Model. The data and model output must include geo-referencing information suitable for accurately placing the data within the ArcMAP framework. NRL has developed tools that facilitate merging these geophysical data and their analyses, including intercomparisons between model

  18. Models to support students’ understanding of measuring area of circles

    Science.gov (United States)

    Rejeki, S.; Putri, R. I. I.

    2018-01-01

    Many studies showed that enormous students got confused about the concepts of measuring area of circles. The main reason is because mathematics classroom practices emphasized on memorizing formulas rather than understanding concepts. Therefore, in this study, a set of learning activities were designed as an innovation in learning area measurement of circles. The activities involved two models namely grid paper and reshaping which are respectively as a means and a strategy to support students’ learning of area measurement of circles. Design research was used as the research approach to achieve the aim. Thirty-eight of 8th graders in Indonesia were involved in this study. In this study, together with the contextual problems, the grid paper and reshaping sectors, which used as the models in this learning, helped the students to gradually develop their understanding of the area measurement of circles. The grid papers plays important role in comparing and estimating areas. Whereas, the reshaping sectors might support students’ understanding of the circumference and the area measurement of circles. Those two models could be the tool for promoting the informal theory of area measurement. Besides, the whole activities gave important role on distinguishing the area and perimeter of circles.

  19. 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 uncertaintie...

  20. Web-video-mining-supported workflow modeling for laparoscopic surgeries.

    Science.gov (United States)

    Liu, Rui; Zhang, Xiaoli; Zhang, Hao

    2016-11-01

    As quality assurance is of strong concern in advanced surgeries, intelligent surgical systems are expected to have knowledge such as the knowledge of the surgical workflow model (SWM) to support their intuitive cooperation with surgeons. For generating a robust and reliable SWM, a large amount of training data is required. However, training data collected by physically recording surgery operations is often limited and data collection is time-consuming and labor-intensive, severely influencing knowledge scalability of the surgical systems. The objective of this research is to solve the knowledge scalability problem in surgical workflow modeling with a low cost and labor efficient way. A novel web-video-mining-supported surgical workflow modeling (webSWM) method is developed. A novel video quality analysis method based on topic analysis and sentiment analysis techniques is developed to select high-quality videos from abundant and noisy web videos. A statistical learning method is then used to build the workflow model based on the selected videos. To test the effectiveness of the webSWM method, 250 web videos were mined to generate a surgical workflow for the robotic cholecystectomy surgery. The generated workflow was evaluated by 4 web-retrieved videos and 4 operation-room-recorded videos, respectively. The evaluation results (video selection consistency n-index ≥0.60; surgical workflow matching degree ≥0.84) proved the effectiveness of the webSWM method in generating robust and reliable SWM knowledge by mining web videos. With the webSWM method, abundant web videos were selected and a reliable SWM was modeled in a short time with low labor cost. Satisfied performances in mining web videos and learning surgery-related knowledge show that the webSWM method is promising in scaling knowledge for intelligent surgical systems. Copyright © 2016 Elsevier B.V. All rights reserved.

  1. 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

  2. Design of Graph Analysis Model to support Decision Making

    International Nuclear Information System (INIS)

    An, Sang Ha; Lee, Sung Jin; Chang, Soon Heung; Kim, Sung Ho; Kim, Tae Woon

    2005-01-01

    Korea is meeting the growing electric power needs by using nuclear, fissile, hydro energy and so on. But we can not use fissile energy forever, and the people's consideration about nature has been changed. So we have to prepare appropriate energy by the conditions before people need more energy. And we should prepare dynamic response because people's need would be changed as the time goes on. So we designed graphic analysis model (GAM) for the dynamic analysis of decision on the energy sources. It can support Analytic Hierarchy Process (AHP) analysis based on Graphic User Interface

  3. Computational Science Research in Support of Petascale Electromagnetic Modeling

    International Nuclear Information System (INIS)

    Lee, L.-Q.

    2008-01-01

    Computational science research components were vital parts of the SciDAC-1 accelerator project and are continuing to play a critical role in newly-funded SciDAC-2 accelerator project, the Community Petascale Project for Accelerator Science and Simulation (ComPASS). Recent advances and achievements in the area of computational science research in support of petascale electromagnetic modeling for accelerator design analysis are presented, which include shape determination of superconducting RF cavities, mesh-based multilevel preconditioner in solving highly-indefinite linear systems, moving window using h- or p- refinement for time-domain short-range wakefield calculations, and improved scalable application I/O

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

    Science.gov (United States)

    Krinsky, Lisa; Cahill, Sean R

    2017-12-01

    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.

  5. Hydraulic modeling support for conflict analysis: The Manayunk canal revisited

    International Nuclear Information System (INIS)

    Chadderton, R.A.; Traver, R.G.; Rao, J.N.

    1992-01-01

    This paper presents a study which used a standard, hydraulic computer model to generate detailed design information to support conflict analysis of a water resource use issue. As an extension of previous studies, the conflict analysis in this case included several scenarios for stability analysis - all of which reached the conclusion that compromising, shared access to the water resources available would result in the most benefits to society. This expected equilibrium outcome was found to maximize benefit-cost estimates. 17 refs., 1 fig., 2 tabs

  6. A comprehensive study on rotation reversal in KSTAR: experimental observations and modelling

    Science.gov (United States)

    Na, D. H.; Na, Yong-Su; Angioni, C.; Yang, S. M.; Kwon, J. M.; Jhang, Hogun; Camenen, Y.; Lee, S. G.; Shi, Y. J.; Ko, W. H.; Lee, J. A.; Hahm, T. S.; KSTAR Team

    2017-12-01

    Dedicated experiments have been performed in KSTAR Ohmic plasmas to investigate the detailed physics of the rotation reversal phenomena. Here we adapt the more general definition of rotation reversal, a large change of the intrinsic toroidal rotation gradient produced by minor changes in the control parameters (Camenen et al 2017 Plasma Phys. Control. Fusion 59 034001), which is commonly observed in KSTAR regardless of the operating conditions. The two main phenomenological features of the rotation reversal are the normalized toroidal rotation gradient ({{u}\\prime} ) change in the gradient region and the existence of an anchor point. For the KSTAR Ohmic plasma database including the experiment results up to the 2016 experimental campaign, both features were investigated. First, the observations show that the locations of the gradient and the anchor point region are dependent on {{q}95} . Second, a strong dependence of {{u}\\prime} on {νeff} is clearly observed in the gradient region, whereas the dependence on R/{{L}{{Ti}}} , R/{{L}{{Te}}} , and R/{{L}{{ne}}} is unclear considering the usual variation of the normalized gradient length in KSTAR. The experimental observations were compared against several theoretical models. The rotation reversal might not occur due to the transition of the dominant turbulence from the trapped electron mode to the ion temperature gradient mode or the neoclassical equilibrium effect in KSTAR. Instead, it seems that the profile shearing effects associated with a finite ballooning tilting well reproduce the experimental observations of both the gradient region and the anchor point; the difference seems to be related to the magnetic shear and the q value. Further analysis implies that the increase of {{u}\\prime} in the gradient region with the increase of the collisionality would occur when the reduction of the momentum diffusivity is comparatively larger than the reduction of the residual stress. It is supported by the perturbative

  7. 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.

  8. Mass balances for a biological life support system simulation model

    Science.gov (United States)

    Volk, Tyler; Rummel, John D.

    1987-01-01

    Design decisions to aid the development of future space based biological life support systems (BLSS) can be made with simulation models. The biochemistry stoichiometry was developed for: (1) protein, carbohydrate, fat, fiber, and lignin production in the edible and inedible parts of plants; (2) food consumption and production of organic solids in urine, feces, and wash water by the humans; and (3) operation of the waste processor. Flux values for all components are derived for a steady state system with wheat as the sole food source. The large scale dynamics of a materially closed (BLSS) computer model is described in a companion paper. An extension of this methodology can explore multifood systems and more complex biochemical dynamics while maintaining whole system closure as a focus.

  9. The construction of visual-spatial situation models in children's reading and their relation to reading comprehension.

    Science.gov (United States)

    Barnes, Marcia A; Raghubar, Kimberly P; Faulkner, Heather; Denton, Carolyn A

    2014-03-01

    Readers construct mental models of situations described by text to comprehend what they read, updating these situation models based on explicitly described and inferred information about causal, temporal, and spatial relations. Fluent adult readers update their situation models while reading narrative text based in part on spatial location information that is consistent with the perspective of the protagonist. The current study investigated whether children update spatial situation models in a similar way, whether there are age-related changes in children's formation of spatial situation models during reading, and whether measures of the ability to construct and update spatial situation models are predictive of reading comprehension. Typically developing children from 9 to 16 years of age (N=81) were familiarized with a physical model of a marketplace. Then the model was covered, and children read stories that described the movement of a protagonist through the marketplace and were administered items requiring memory for both explicitly stated and inferred information about the character's movements. Accuracy of responses and response times were evaluated. Results indicated that (a) location and object information during reading appeared to be activated and updated not simply from explicit text-based information but from a mental model of the real-world situation described by the text; (b) this pattern showed no age-related differences; and (c) the ability to update the situation model of the text based on inferred information, but not explicitly stated information, was uniquely predictive of reading comprehension after accounting for word decoding. Copyright © 2013 Elsevier Inc. All rights reserved.

  10. Making Risk Models Operational for Situational Awareness and Decision Support

    Energy Technology Data Exchange (ETDEWEB)

    Paulson, Patrick R.; Coles, Garill A.; Shoemaker, Steven V.

    2012-06-12

    Modernization of nuclear power operations control systems, in particular the move to digital control systems, creates an opportunity to modernize existing legacy infrastructure and extend plant life. We describe here decision support tools that allow the assessment of different facets of risk and support the optimization of available resources to reduce risk as plants are upgraded and maintained. This methodology could become an integrated part of the design review process and a part of the operations management systems. The methodology can be applied to the design of new reactors such as small nuclear reactors (SMR), and be helpful in assessing the risks of different configurations of the reactors. Our tool provides a low cost evaluation of alternative configurations and provides an expanded safety analysis by considering scenarios while early in the implementation cycle where cost impacts can be minimized. The effects of failures can be modeled and thoroughly vetted to understand their potential impact on risk. The process and tools presented here allow for an integrated assessment of risk by supporting traditional defense in depth approaches while taking into consideration the insertion of new digital instrument and control systems.

  11. An Integrated Web-Based 3d Modeling and Visualization Platform to Support Sustainable Cities

    Science.gov (United States)

    Amirebrahimi, S.; Rajabifard, A.

    2012-07-01

    Sustainable Development is found as the key solution to preserve the sustainability of cities in oppose to ongoing population growth and its negative impacts. This is complex and requires a holistic and multidisciplinary decision making. Variety of stakeholders with different backgrounds also needs to be considered and involved. Numerous web-based modeling and visualization tools have been designed and developed to support this process. There have been some success stories; however, majority failed to bring a comprehensive platform to support different aspects of sustainable development. In this work, in the context of SDI and Land Administration, CSDILA Platform - a 3D visualization and modeling platform -was proposed which can be used to model and visualize different dimensions to facilitate the achievement of sustainability, in particular, in urban context. The methodology involved the design of a generic framework for development of an analytical and visualization tool over the web. CSDILA Platform was then implemented via number of technologies based on the guidelines provided by the framework. The platform has a modular structure and uses Service-Oriented Architecture (SOA). It is capable of managing spatial objects in a 4D data store and can flexibly incorporate a variety of developed models using the platform's API. Development scenarios can be modeled and tested using the analysis and modeling component in the platform and the results are visualized in seamless 3D environment. The platform was further tested using number of scenarios and showed promising results and potentials to serve a wider need. In this paper, the design process of the generic framework, the implementation of CSDILA Platform and technologies used, and also findings and future research directions will be presented and discussed.

  12. Subspace identification of Hammer stein models using support vector machines

    International Nuclear Information System (INIS)

    Al-Dhaifallah, Mujahed

    2011-01-01

    System identification is the art of finding mathematical tools and algorithms that build an appropriate mathematical model of a system from measured input and output data. Hammerstein model, consisting of a memoryless nonlinearity followed by a dynamic linear element, is often a good trade-off as it can represent some dynamic nonlinear systems very accurately, but is nonetheless quite simple. Moreover, the extensive knowledge about LTI system representations can be applied to the dynamic linear block. On the other hand, finding an effective representation for the nonlinearity is an active area of research. Recently, support vector machines (SVMs) and least squares support vector machines (LS-SVMs) have demonstrated powerful abilities in approximating linear and nonlinear functions. In contrast with other approximation methods, SVMs do not require a-priori structural information. Furthermore, there are well established methods with guaranteed convergence (ordinary least squares, quadratic programming) for fitting LS-SVMs and SVMs. The general objective of this research is to develop new subspace algorithms for Hammerstein systems based on SVM regression.

  13. Oxide-supported metal clusters: models for heterogeneous catalysts

    International Nuclear Information System (INIS)

    Santra, A K; Goodman, D W

    2003-01-01

    Understanding the size-dependent electronic, structural and chemical properties of metal clusters on oxide supports is an important aspect of heterogeneous catalysis. Recently model oxide-supported metal catalysts have been prepared by vapour deposition of catalytically relevant metals onto ultra-thin oxide films grown on a refractory metal substrate. Reactivity and spectroscopic/microscopic studies have shown that these ultra-thin oxide films are excellent models for the corresponding bulk oxides, yet are sufficiently electrically conductive for use with various modern surface probes including scanning tunnelling microscopy (STM). Measurements on metal clusters have revealed a metal to nonmetal transition as well as changes in the crystal and electronic structures (including lattice parameters, band width, band splitting and core-level binding energy shifts) as a function of cluster size. Size-dependent catalytic reactivity studies have been carried out for several important reactions, and time-dependent catalytic deactivation has been shown to arise from sintering of metal particles under elevated gas pressures and/or reactor temperatures. In situ STM methodologies have been developed to follow the growth and sintering kinetics on a cluster-by-cluster basis. Although several critical issues have been addressed by several groups worldwide, much more remains to be done. This article highlights some of these accomplishments and summarizes the challenges that lie ahead. (topical review)

  14. 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.

  15. 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.

  16. 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

  17. Integrated models to support multiobjective ecological restoration decisions.

    Science.gov (United States)

    Fraser, Hannah; Rumpff, Libby; Yen, Jian D L; Robinson, Doug; Wintle, Brendan A

    2017-12-01

    Many objectives motivate ecological restoration, including improving vegetation condition, increasing the range and abundance of threatened species, and improving species richness and diversity. Although models have been used to examine the outcomes of ecological restoration, few researchers have attempted to develop models to account for multiple, potentially competing objectives. We developed a combined state-and-transition, species-distribution model to predict the effects of restoration actions on vegetation condition and extent, bird diversity, and the distribution of several bird species in southeastern Australian woodlands. The actions reflected several management objectives. We then validated the models against an independent data set and investigated how the best management decision might change when objectives were valued differently. We also used model results to identify effective restoration options for vegetation and bird species under a constrained budget. In the examples we evaluated, no one action (improving vegetation condition and extent, increasing bird diversity, or increasing the probability of occurrence for threatened species) provided the best outcome across all objectives. In agricultural lands, the optimal management actions for promoting the occurrence of the Brown Treecreeper (Climacteris picumnus), an iconic threatened species, resulted in little improvement in the extent of the vegetation and a high probability of decreased vegetation condition. This result highlights that the best management action in any situation depends on how much the different objectives are valued. In our example scenario, no management or weed control were most likely to be the best management options to satisfy multiple restoration objectives. Our approach to exploring trade-offs in management outcomes through integrated modeling and structured decision-support approaches has wide application for situations in which trade-offs exist between competing

  18. A comprehensive model of food addiction in patients with binge-eating symptomatology: The essential role of negative urgency.

    Science.gov (United States)

    Wolz, Ines; Granero, Roser; Fernández-Aranda, Fernando

    2017-04-01

    Food addiction has been widely researched in past years. However, there is a debate on the mechanisms underlying addictive eating and a better understanding of the processes associated to these behaviors is needed. Previous studies have found characteristic psychological correlates of food addiction, such as high negative urgency, emotion regulation difficulties and low self-directedness, in different samples of adults with addictive eating patterns. Still, it seems difficult to disentangle effects independent from general eating disorder psychopathology. Therefore, this study aimed to test a comprehensive model under control of eating disorder severity, in order to find independent predictors of food addiction. 315 patients with eating disorder diagnoses on the binge-eating spectrum were assessed in personality, emotion regulation, negative urgency, eating disorder symptomatology, and food addiction by self-report. Hypothesis-driven structural equation modeling was conducted to test the comprehensive model. The only independent predictor found for food addiction was negative urgency, while self-directedness and emotion regulation predicted negative urgency and were highly related to eating disorder symptomatology, but not to food addiction. Altogether the model suggests that low self-directedness and difficulties in emotion regulation are related to higher eating disorder symptomatology in general. Those patients who, in addition to these traits, tend to act impulsively when in negative mood states, are at risk for developing addictive eating patterns. Urgency-based treatments are therefore recommended for this subgroup of patients. Copyright © 2017 Elsevier Inc. All rights reserved.

  19. Study on quantitative risk assessment model of the third party damage for natural gas pipelines based on fuzzy comprehensive assessment

    International Nuclear Information System (INIS)

    Qiu, Zeyang; Liang, Wei; Lin, Yang; Zhang, Meng; Wang, Xue

    2017-01-01

    As an important part of national energy supply system, transmission pipelines for natural gas are possible to cause serious environmental pollution, life and property loss in case of accident. The third party damage is one of the most significant causes for natural gas pipeline system accidents, and it is very important to establish an effective quantitative risk assessment model of the third party damage for reducing the number of gas pipelines operation accidents. Against the third party damage accident has the characteristics such as diversity, complexity and uncertainty, this paper establishes a quantitative risk assessment model of the third party damage based on Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE). Firstly, risk sources of third party damage should be identified exactly, and the weight of factors could be determined via improved AHP, finally the importance of each factor is calculated by fuzzy comprehensive evaluation model. The results show that the quantitative risk assessment model is suitable for the third party damage of natural gas pipelines and improvement measures could be put forward to avoid accidents based on the importance of each factor. (paper)

  20. The HMO Research Network Virtual Data Warehouse: A Public Data Model to Support Collaboration.

    Science.gov (United States)

    Ross, Tyler R; Ng, Daniel; Brown, Jeffrey S; Pardee, Roy; Hornbrook, Mark C; Hart, Gene; Steiner, John F

    2014-01-01

    The HMO Research Network (HMORN) Virtual Data Warehouse (VDW) is a public, non-proprietary, research-focused data model implemented at 17 health care systems across the United States. The HMORN has created a governance structure and specified policies concerning the VDW's content, development, implementation, and quality assurance. Data extracted from the VDW have been used by thousands of studies published in peer-reviewed journal articles. Advances in software supporting care delivery and claims processing and the availability of new data sources have greatly expanded the data available for research, but substantially increased the complexity of data management. The VDW data model incorporates software and data advances to ensure that comprehensive, up-to-date data of known quality are available for research. VDW governance works to accommodate new data and system complexities. This article highlights the HMORN VDW data model, its governance principles, data content, and quality assurance procedures. Our goal is to share the VDW data model and its operations to those wishing to implement a distributed interoperable health care data system.

  1. A Comprehensive Mixture of Tobacco Smoke Components Retards Orthodontic Tooth Movement via the Inhibition of Osteoclastogenesis in a Rat Model

    Directory of Open Access Journals (Sweden)

    Maya Nagaie

    2014-10-01

    Full Text Available Tobacco smoke is a complex mixture of numerous components. Nevertheless, most experiments have examined the effects of individual chemicals in tobacco smoke. The comprehensive effects of components on tooth movement and bone resorption remain unexplored. Here, we have shown that a comprehensive mixture of tobacco smoke components (TSCs attenuated bone resorption through osteoclastogenesis inhibition, thereby retarding experimental tooth movement in a rat model. An elastic power chain (PC inserted between the first and second maxillary molars robustly yielded experimental tooth movement within 10 days. TSC administration effectively retarded tooth movement since day 4. Histological evaluation disclosed that tooth movement induced bone resorption at two sites: in the bone marrow and the peripheral bone near the root. TSC administration significantly reduced the number of tartrate-resistant acid phosphatase (TRAP-positive osteoclastic cells in the bone marrow cavity of the PC-treated dentition. An in vitro study indicated that the inhibitory effects of TSCs on osteoclastogenesis seemed directed more toward preosteoclasts than osteoblasts. These results indicate that the comprehensive mixture of TSCs might be a useful tool for detailed verification of the adverse effects of tobacco smoke, possibly contributing to the development of reliable treatments in various fields associated with bone resorption.

  2. A comprehensive mixture of tobacco smoke components retards orthodontic tooth movement via the inhibition of osteoclastogenesis in a rat model.

    Science.gov (United States)

    Nagaie, Maya; Nishiura, Aki; Honda, Yoshitomo; Fujiwara, Shin-Ichi; Matsumoto, Naoyuki

    2014-10-15

    Tobacco smoke is a complex mixture of numerous components. Nevertheless, most experiments have examined the effects of individual chemicals in tobacco smoke. The comprehensive effects of components on tooth movement and bone resorption remain unexplored. Here, we have shown that a comprehensive mixture of tobacco smoke components (TSCs) attenuated bone resorption through osteoclastogenesis inhibition, thereby retarding experimental tooth movement in a rat model. An elastic power chain (PC) inserted between the first and second maxillary molars robustly yielded experimental tooth movement within 10 days. TSC administration effectively retarded tooth movement since day 4. Histological evaluation disclosed that tooth movement induced bone resorption at two sites: in the bone marrow and the peripheral bone near the root. TSC administration significantly reduced the number of tartrate-resistant acid phosphatase (TRAP)-positive osteoclastic cells in the bone marrow cavity of the PC-treated dentition. An in vitro study indicated that the inhibitory effects of TSCs on osteoclastogenesis seemed directed more toward preosteoclasts than osteoblasts. These results indicate that the comprehensive mixture of TSCs might be a useful tool for detailed verification of the adverse effects of tobacco smoke, possibly contributing to the development of reliable treatments in various fields associated with bone resorption.

  3. Comprehensive Modeling and Analysis of Rotorcraft Variable Speed Propulsion System With Coupled Engine/Transmission/Rotor Dynamics

    Science.gov (United States)

    DeSmidt, Hans A.; Smith, Edward C.; Bill, Robert C.; Wang, Kon-Well

    2013-01-01

    This project develops comprehensive modeling and simulation tools for analysis of variable rotor speed helicopter propulsion system dynamics. The Comprehensive Variable-Speed Rotorcraft Propulsion Modeling (CVSRPM) tool developed in this research is used to investigate coupled rotor/engine/fuel control/gearbox/shaft/clutch/flight control system dynamic interactions for several variable rotor speed mission scenarios. In this investigation, a prototypical two-speed Dual-Clutch Transmission (DCT) is proposed and designed to achieve 50 percent rotor speed variation. The comprehensive modeling tool developed in this study is utilized to analyze the two-speed shift response of both a conventional single rotor helicopter and a tiltrotor drive system. In the tiltrotor system, both a Parallel Shift Control (PSC) strategy and a Sequential Shift Control (SSC) strategy for constant and variable forward speed mission profiles are analyzed. Under the PSC strategy, selecting clutch shift-rate results in a design tradeoff between transient engine surge margins and clutch frictional power dissipation. In the case of SSC, clutch power dissipation is drastically reduced in exchange for the necessity to disengage one engine at a time which requires a multi-DCT drive system topology. In addition to comprehensive simulations, several sections are dedicated to detailed analysis of driveline subsystem components under variable speed operation. In particular an aeroelastic simulation of a stiff in-plane rotor using nonlinear quasi-steady blade element theory was conducted to investigate variable speed rotor dynamics. It was found that 2/rev and 4/rev flap and lag vibrations were significant during resonance crossings with 4/rev lagwise loads being directly transferred into drive-system torque disturbances. To capture the clutch engagement dynamics, a nonlinear stick-slip clutch torque model is developed. Also, a transient gas-turbine engine model based on first principles mean

  4. Modern Theories of Pelvic Floor Support : A Topical Review of Modern Studies on Structural and Functional Pelvic Floor Support from Medical Imaging, Computational Modeling, and Electromyographic Perspectives.

    Science.gov (United States)

    Peng, Yun; Miller, Brandi D; Boone, Timothy B; Zhang, Yingchun

    2018-02-12

    Weakened pelvic floor support is believed to be the main cause of various pelvic floor disorders. Modern theories of pelvic floor support stress on the structural and functional integrity of multiple structures and their interplay to maintain normal pelvic floor functions. Connective tissues provide passive pelvic floor support while pelvic floor muscles provide active support through voluntary contraction. Advanced modern medical technologies allow us to comprehensively and thoroughly evaluate the interaction of supporting structures and assess both active and passive support functions. The pathophysiology of various pelvic floor disorders associated with pelvic floor weakness is now under scrutiny from the combination of (1) morphological, (2) dynamic (through computational modeling), and (3) neurophysiological perspectives. This topical review aims to update newly emerged studies assessing pelvic floor support function among these three categories. A literature search was performed with emphasis on (1) medical imaging studies that assess pelvic floor muscle architecture, (2) subject-specific computational modeling studies that address new topics such as modeling muscle contractions, and (3) pelvic floor neurophysiology studies that report novel devices or findings such as high-density surface electromyography techniques. We found that recent computational modeling studies are featured with more realistic soft tissue constitutive models (e.g., active muscle contraction) as well as an increasing interest in simulating surgical interventions (e.g., artificial sphincter). Diffusion tensor imaging provides a useful non-invasive tool to characterize pelvic floor muscles at the microstructural level, which can be potentially used to improve the accuracy of the simulation of muscle contraction. Studies using high-density surface electromyography anal and vaginal probes on large patient cohorts have been recently reported. Influences of vaginal delivery on the

  5. Brandenburg 3D - a comprehensive 3D Subsurface Model, Conception of an Infrastructure Node and a Web Application

    Science.gov (United States)

    Kerschke, Dorit; Schilling, Maik; Simon, Andreas; Wächter, Joachim

    2014-05-01

    The Energiewende and the increasing scarcity of raw materials will lead to an intensified utilization of the subsurface in Germany. Within this context, geological 3D modeling is a fundamental approach for integrated decision and planning processes. Initiated by the development of the European Geospatial Infrastructure INSPIRE, the German State Geological Offices started digitizing their predominantly analog archive inventory. Until now, a comprehensive 3D subsurface model of Brandenburg did not exist. Therefore the project B3D strived to develop a new 3D model as well as a subsequent infrastructure node to integrate all geological and spatial data within the Geodaten-Infrastruktur Brandenburg (Geospatial Infrastructure, GDI-BB) and provide it to the public through an interactive 2D/3D web application. The functionality of the web application is based on a client-server architecture. Server-sided, all available spatial data is published through GeoServer. GeoServer is designed for interoperability and acts as the reference implementation of the Open Geospatial Consortium (OGC) Web Feature Service (WFS) standard that provides the interface that allows requests for geographical features. In addition, GeoServer implements, among others, the high performance certified compliant Web Map Service (WMS) that serves geo-referenced map images. For publishing 3D data, the OGC Web 3D Service (W3DS), a portrayal service for three-dimensional geo-data, is used. The W3DS displays elements representing the geometry, appearance, and behavior of geographic objects. On the client side, the web application is solely based on Free and Open Source Software and leans on the JavaScript API WebGL that allows the interactive rendering of 2D and 3D graphics by means of GPU accelerated usage of physics and image processing as part of the web page canvas without the use of plug-ins. WebGL is supported by most web browsers (e.g., Google Chrome, Mozilla Firefox, Safari, and Opera). The web

  6. Health Department HIV Prevention Programs That Support the National HIV/AIDS Strategy: The Enhanced Comprehensive HIV Prevention Planning Project, 2010-2013.

    Science.gov (United States)

    Fisher, Holly H; Hoyte, Tamika; Purcell, David W; Van Handel, Michelle; Williams, Weston; Krueger, Amy; Dietz, Patricia; Stratford, Dale; Heitgerd, Janet; Dunbar, Erica; Wan, Choi; Linley, Laurie A; Flores, Stephen A

    2016-01-01

    The Enhanced Comprehensive HIV Prevention Planning project was the first initiative of the Centers for Disease Control and Prevention (CDC) to address the goals of the National HIV/AIDS Strategy (NHAS). Health departments in 12 U.S. cities with a high prevalence of AIDS conducted comprehensive program planning and implemented cost-effective, scalable HIV prevention interventions that targeted high-risk populations. We examined trends in health department HIV prevention programs in these cities during the project. We analyzed the number of people who received partner services, condoms distributed, and people tested for HIV, as well as funding allocations for selected HIV prevention programs by year and by site from October 2010 through September 2013. We assessed trends in the proportional change in services and allocations during the project period using generalized estimating equations. We also conducted thematic coding of program activities that targeted people living with HIV infection (PLWH). We found significant increases in funding allocations for HIV testing and condom distribution. All HIV partner services indicators, condom distribution, and HIV testing of African American and Hispanic/Latino populations significantly increased. HIV tests associated with a new diagnosis increased significantly among those self-identifying as Hispanic/Latino but significantly decreased among African Americans. For programs targeting PLWH, health department activities included implementing new program models, improving local data use, and building local capacity to enhance linkage to HIV medical care, retention in care, and treatment adherence. Overall, these findings indicate that health departments in areas with a high burden of AIDS successfully shifted their HIV prevention resources to scale up important HIV programs and make progress toward NHAS goals.

  7. 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.

  8. Early diagnosis model for meningitis supports public health decision making.

    Science.gov (United States)

    Close, Rebecca M; Ejidokun, Oluwatoyin O; Verlander, Neville Q; Fraser, Graham; Meltzer, Margie; Rehman, Yasmin; Muir, Peter; Ninis, Nelly; Stuart, James M

    2011-07-01

    To develop a predictive model for rapid differential diagnosis of meningitis and meningococcal septicaemia to support public health decisions on chemoprophylaxis for contacts. Prospective study of suspected cases of acute meningitis and meningococcal septicaemia admitted to hospitals in the South West, West Midlands and London Regions of England from July 2008 to June 2009. Epidemiological, clinical and laboratory variables on admission were recorded. Logistic regression was used to derive a predictive model. Of the 719 suspect cases reported, 385 confirmed cases were included in analysis. Peripheral blood polymorphonuclear count of >16 × 10(9)/l, serum C-reactive protein of >100 mg/l and haemorrhagic rash were strongly and independently associated with diagnosis of bacterial meningitis and meningococcal septicaemia. Using a simple scoring system, the presence of any one of these factors gave a probability of >95% in predicting the final diagnosis. We have developed a model using laboratory and clinical factors, but not dependent on availability of CSF, for differentiating acute bacterial from viral meningitis within a few hours of admission to hospital. This scoring system is recommended in public health management of suspected cases of meningitis and meningococcal septicaemia to inform decisions on chemoprophylaxis. Copyright © 2011 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

  9. Nuclear forensics: a comprehensive model action plan for Nuclear Forensics Laboratory in India

    International Nuclear Information System (INIS)

    Deshmukh, A.V.; Nyati, S.; Fatangre, N.M.; Raghav, N.K.; Reddy, P.G.

    2013-01-01

    Nuclear forensic is an emerging and highly specialized discipline which deals with nuclear investigation and analysis of nuclear or radiological/radioactive materials. Nuclear Forensic analysis includes various methodology and analytical methods along with morphology, physical, chemical, elemental and isotopic analysis to characterize and develop nuclear database for the identification of unknown nuclear or radiological/radioactive material. The origin, source history, pathway and attribution of unknown radioactive/nuclear material is possible with certainty through Nuclear Forensics. Establishment of Nuclear Forensic Laboratory and development of expertise for nuclear investigation under one roof by developing the nuclear data base and laboratory network is need of the hour to ably address the problems of all the law enforcement and nuclear agencies. The present study provides insight in Nuclear Forensics and focuses on an urgent need for a comprehensive plan to set up Nuclear Forensic Laboratory across India. (author)

  10. Scour around Support Structures of Scaled Model Marine Hydrokinetic Devices

    Science.gov (United States)

    Volpe, M. A.; Beninati, M. L.; Krane, M.; Fontaine, A.

    2013-12-01

    Experiments are presented to explore scour due to flows around support structures of marine hydrokinetic (MHK) devices. Three related studies were performed to understand how submergence, scour condition, and the presence of an MHK device impact scour around the support structure (cylinder). The first study focuses on clear-water scour conditions for a cylinder of varying submergence: surface-piercing and fully submerged. The second study centers on three separate scour conditions (clear-water, transitional and live-bed) around the fully submerged cylinder. Lastly, the third study emphasizes the impact of an MHK turbine on scour around the support structure, in live-bed conditions. Small-scale laboratory testing of model devices can be used to help predict the behavior of MHK devices at full-scale. Extensive studies have been performed on single cylinders, modeling bridge piers, though few have focused on fully submerged structures. Many of the devices being used to harness marine hydrokinetic energy are fully submerged in the flow. Additionally, scour hole dimensions and scour rates have not been addressed. Thus, these three studies address the effect of structure blockage/drag, and the ambient scour conditions on scour around the support structure. The experiments were performed in the small-scale testing platform in the hydraulic flume facility (9.8 m long, 1.2 m wide and 0.4 m deep) at Bucknell University. The support structure diameter (D = 2.54 cm) was held constant for all tests. The submerged cylinder (l/D = 5) and sediment size (d50 = 790 microns) were held constant for all three studies. The MHK device (Dturbine = 10.2 cm) is a two-bladed horizontal axis turbine and the rotating shaft is friction-loaded using a metal brush motor. For each study, bed form topology was measured after a three-hour time interval using a traversing two-dimensional bed profiler. During the experiments, scour hole depth measurements at the front face of the support structure

  11. shRNA target prediction informed by comprehensive enquiry (SPICE): a supporting system for high-throughput screening of shRNA library.

    Science.gov (United States)

    Kamatuka, Kenta; Hattori, Masahiro; Sugiyama, Tomoyasu

    2016-12-01

    RNA interference (RNAi) screening is extensively used in the field of reverse genetics. RNAi libraries constructed using random oligonucleotides have made this technology affordable. However, the new methodology requires exploration of the RNAi target gene information after screening because the RNAi library includes non-natural sequences that are not found in genes. Here, we developed a web-based tool to support RNAi screening. The system performs short hairpin RNA (shRNA) target prediction that is informed by comprehensive enquiry (SPICE). SPICE automates several tasks that are laborious but indispensable to evaluate the shRNAs obtained by RNAi screening. SPICE has four main functions: (i) sequence identification of shRNA in the input sequence (the sequence might be obtained by sequencing clones in the RNAi library), (ii) searching the target genes in the database, (iii) demonstrating biological information obtained from the database, and (iv) preparation of search result files that can be utilized in a local personal computer (PC). Using this system, we demonstrated that genes targeted by random oligonucleotide-derived shRNAs were not different from those targeted by organism-specific shRNA. The system facilitates RNAi screening, which requires sequence analysis after screening. The SPICE web application is available at http://www.spice.sugysun.org/.

  12. Development of RODOS, a comprehensive real-time on-line decision support system for nuclear emergency management in Europe. Final report

    International Nuclear Information System (INIS)

    Ehrhardt, J.; Weis, A.

    1996-09-01

    The development of RODOS, a comprehensive, Real-time, On-line DecisiOn Support system for nuclear emergency management, that would be capable of finding broad application across Europe was included as a major item in the Radiation Protection Research Action of the European Commission's 3rd Framework Programme; it remains an important priority in the 4th Framework programme (1995-1998). When complete, the RODOS system is intended to be applicable from the vicinity of the release and the early phases of an accident to far distant areas and longer time periods. In this way it will be possible to achieve estimates, analyses, and prognoses of accident consequences with and without considering protective actions and countermeasures, which are consistent throughout all accident phases and distance ranges. It will also be possible to evaluate alternative combinations of measures in term of both, feasibility in the given situation, and public acceptability, socio-psychological and political implications. This Final Report summarises the results achieved by the partners of the EC contract FI3P-CT92-0036 within the time period 1992 to 1995, and more generally, gives an overview of the development status of the RODOS system and its functionalities realised by the end of the contract period. (orig.) [de

  13. Apoio motivacional e desenvolvimento da compreensão leitora em alunos do ensino fundamental/Motivational support and reading comprehension development in basic education students

    Directory of Open Access Journals (Sweden)

    Maria Aparecida Mezzalira Gomes

    2009-10-01

    Full Text Available O objetivo desse relato de experiência é o de destacar a importância do apoio motivacional no processo de aprendizagem. Mais precisamente, relata aspectos importantes de uma intervenção realizada para a melhoria da compreensão leitora com estudantes de quarta série do Ensino Fundamental. A intervenção teve por base o ensino de estratégias cognitivas e metacognitivas de aprendizagem durante sete sessões de uma hora e meia de duração, durante dois meses, incluindo também apoio motivacional e orientação para estudos. O referencial teórico adotado foi o da Psicologia Cognitiva e da Teoria do Processamento de Informação. Os resultados obtidos reforçam a ideia de que o sucesso escolar pode ser incrementado quando se fortalecem, no trabalho psicopedagógico, estímulos à cognição, à metacognição e à motivação para aprender. The aim of this paper is to show the importance of motivational support in the learning process. More precisely, it reports important aspects of an educational intervention aimed at improving learning comprehension strategies of Basic Education fourth grade students. The intervention, based on the Cognitive Psychology and Information Process Theories, focused on the teaching of cognitive and metacognitive learning strategies to the students and consisted of seven sessions of one hour and a half of duration for two months. The intervention also included motivational support and study guidance in every session. Results reinforce the idea that school success can be increased when cognitive, metacognitive and motivation to learn are strengthened and taken into account in the psycho pedagogical practices.

  14. A comprehensive compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects.

    Science.gov (United States)

    Vahidi, O; Kwok, K E; Gopaluni, R B; Knop, F K

    2016-09-01

    We have expanded a former compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects. The former model was a detailed physiological model which considered the interactions of three substances, glucose, insulin and glucagon on regulating the blood sugar. The main drawback of the former model was its restriction on the route of glucose entrance to the body which was limited to the intravenous glucose injection. To handle the oral glucose intake, we have added a model of glucose absorption in the gastrointestinal tract to the former model to address the resultant variations of blood glucose concentrations following an oral glucose intake. Another model representing the incretins production in the gastrointestinal tract along with their hormonal effects on boosting pancreatic insulin production is also added to the former model. We have used two sets of clinical data obtained during oral glucose tolerance test and isoglycemic intravenous glucose infusion test from both type 2 diabetic and healthy subjects to estimate the model parameters and to validate the model results. The estimation of model parameters is accomplished through solving a nonlinear optimization problem. The results show acceptable precision of the estimated model parameters and demonstrate the capability of the model in accurate prediction of the body response during the clinical studies.

  15. Application of analytic hierarchy process-grey target theory systematic model in comprehensive evaluation of water environmental quality.

    Science.gov (United States)

    Wu, Jun; Tian, Xiaogang; Tang, Ya; Zhao, Yujie; Hu, Yandi; Fang, Zili

    2010-07-01

    Comprehensive evaluation of the water environment for effective water quality management is complicated by a considerable number of factors and uncertainties. It is difficult to combine micro-evaluation with the macro-evaluation process. To effectively eliminate the subjective errors of the traditional analytic hierarchy process (AHP), a new modeling approach--the analytic hierarchy process and grey target theory (AHP-GTT) systematic model--is presented in this study to evaluate water quality in a certain watershed. A case study of applying the AHP-GTT systematic model to the evaluation and analysis of the water environment was conducted in the Yibin section of the Yangtze River, China. The micro-evaluation is based on defining the weights of indices of the water quality (IWQ) of each water cross-section, while the macro-evaluation is based on calculating the comprehensive indices of water environmental quality and analyzing the tendency of the water environment of each cross-section. The results indicated that the Baixi and Shuidongmen sections are seriously polluted areas, with the tendencies of becoming worse. Also, the key IWQs of these two cross-sections are 5-day biochemical oxygen demand and chemical oxygen demand of permanganate, respectively.

  16. Odor supported place cell model and goal navigation in rodents

    DEFF Research Database (Denmark)

    Kulvicius, Tomas; Tamosiunaite, Minija; Ainge, James

    2008-01-01

    -generated scent marks to find a food source. Here we model odor supported place cells by using a simple feed-forward network and analyze the impact of olfactory cues on place cell formation and spatial navigation. The obtained place cells are used to solve a goal navigation task by a novel mechanism based on self......-marking by odor patches combined with a Q-learning algorithm. We also analyze the impact of place cell remapping on goal directed behavior when switching between two environments. We emphasize the importance of olfactory cues in place cell formation and show that the utility of environmental and self......-generated olfactory cues, together with a mixed navigation strategy, improves goal directed navigation....

  17. Neutronic Modelling in Support of the Irradiation Programmes

    International Nuclear Information System (INIS)

    Koonen, E.

    2005-01-01

    Irradiation experiments are generally conducted to determine some specific characteristics of the concerned fuels and structural materials under well defined irradiation conditions. For the determination of the latter the BR2 division has an autonomous reactor physics cell and has implemented the required computational tools. The major tool used is a three-dimensional full-scale Monte Carlo model of the BR2 reactor developed under MCNP-4C for the simulation of irradiation conditions. The objectives of work performed by SCK-CEN are to evaluate and adjust irradiation conditions by adjustments of the environment, differential rod positions, axial and azimuthal positioning of the samples, global power level, ...; to deliver reliable, well defined irradiation condition and fluence data during and after irradiation; to assist the designer of new irradiation devices by simulations and neutronic optimisations of design options; to provide computational support to related projects as a way to valorise the capabilities that the BR2 reactor can offer

  18. 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.

  19. 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.

  20. A comprehensive compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects

    DEFF Research Database (Denmark)

    Vahidi, O; Kwok, K E; Gopaluni, R B

    2016-01-01

    We have expanded a former compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects. The former model was a detailed physiological model which considered the interactions of three substances, glucose, insulin and glucagon on regulating the blood sugar. The main...... variations of blood glucose concentrations following an oral glucose intake. Another model representing the incretins production in the gastrointestinal tract along with their hormonal effects on boosting pancreatic insulin production is also added to the former model. We have used two sets of clinical data...... obtained during oral glucose tolerance test and isoglycemic intravenous glucose infusion test from both type 2 diabetic and healthy subjects to estimate the model parameters and to validate the model results. The estimation of model parameters is accomplished through solving a nonlinear optimization...

  1. Use of Nutrient Balances in Comprehensive Watershed Water Quality Modeling of Chesapeake Bay

    National Research Council Canada - National Science Library

    Donigian, Anthony

    1998-01-01

    ... state of-the-art watershed modeling capability that includes detailed soil process simulation for agricultural areas, linked to an instream water quality and nutrient model capable of representing...

  2. A comprehensive model for in-plane and out-of-plane vibration of CANDU fuel endplate rings

    Energy Technology Data Exchange (ETDEWEB)

    Yu, S.D., E-mail: syu@ryerson.ca; Fadaee, M.

    2016-08-01

    Highlights: • Proposed an effective method for modelling bending and torsional vibration of CANDU fuel endplate rings. • Applied successfully the thick plate theory to curved structural members by accounting for the transverse shear effect. • The proposed method is computationally more efficient compared to the 3D finite element. - Abstract: In this paper, a comprehensive vibration model is developed for analysing in-plane and out-of-plane vibration of CANDU fuel endplate rings by taking into consideration the effects of in-plane extension in the circumferential and radial directions, shear, and rotatory inertia. The model is based on Reddy’s thick plate theory and the nine-node isoparametric Lagrangian plate finite elements. Natural frequencies of various modes of vibration of circular rings obtained using the proposed method are compared with 3D finite element results, experimental data and results available in the literature. Excellent agreement was achieved.

  3. Comprehensive Assessment of Models and Events based on Library tools (CAMEL)

    Science.gov (United States)

    Rastaetter, L.; Boblitt, J. M.; DeZeeuw, D.; Mays, M. L.; Kuznetsova, M. M.; Wiegand, C.

    2017-12-01

    At the Community Coordinated Modeling Center (CCMC), the assessment of modeling skill using a library of model-data comparison metrics is taken to the next level by fully integrating the ability to request a series of runs with the same model parameters for a list of events. The CAMEL framework initiates and runs a series of selected, pre-defined simulation settings for participating models (e.g., WSA-ENLIL, SWMF-SC+IH for the heliosphere, SWMF-GM, OpenGGCM, LFM, GUMICS for the magnetosphere) and performs post-processing using existing tools for a host of different output parameters. The framework compares the resulting time series data with respective observational data and computes a suite of metrics such as Prediction Efficiency, Root Mean Square Error, Probability of Detection, Probability of False Detection, Heidke Skill Score for each model-data pair. The system then plots scores by event and aggregated over all events for all participating models and run settings. We are building on past experiences with model-data comparisons of magnetosphere and ionosphere model outputs in GEM2008, GEM-CEDAR CETI2010 and Operational Space Weather Model challenges (2010-2013). We can apply the framework also to solar-heliosphere as well as radiation belt models. The CAMEL framework takes advantage of model simulations described with Space Physics Archive Search and Extract (SPASE) metadata and a database backend design developed for a next-generation Run-on-Request system at the CCMC.

  4. A Comprehensive Comparison Study of Empirical Cutting Transport Models in Inclined and Horizontal Wells

    Directory of Open Access Journals (Sweden)

    Asep Mohamad Ishaq Shiddiq

    2017-07-01

    Full Text Available In deviated and horizontal drilling, hole-cleaning issues are a common and complex problem. This study explored the effect of various parameters in drilling operations and how they affect the flow rate required for effective cutting transport. Three models, developed following an empirical approach, were employed: Rudi-Shindu’s model, Hopkins’, and Tobenna’s model. Rudi-Shindu’s model needs iteration in the calculation. Firstly, the three models were compared using a sensitivity analysis of drilling parameters affecting cutting transport. The result shows that the models have similar trends but different values for minimum flow velocity. Analysis was conducted to examine the feasibility of using Rudi-Shindu’s, Hopkins’, and Tobenna’s models. The result showed that Hopkins’ model is limited by cutting size and revolution per minute (RPM. The minimum flow rate from Tobenna’s model is affected only by well inclination, drilling fluid weight and drilling fluid rheological property. Meanwhile, Rudi-Shindu’s model is limited by inclinations above 45°. The study showed that the investigated models are not suitable for horizontal wells because they do not include the effect of lateral section.

  5. 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

  6. Caregiver social support quality when interacting with cancer survivors: advancing the dual-process model of supportive communication.

    Science.gov (United States)

    Harvey-Knowles, Jacquelyn; Faw, Meara H

    2018-04-01

    Cancer caregivers often experience significant challenges in their motivation and ability to comfort cancer survivors, particularly in a spousal or romantic context. Spousal cancer caregivers have been known to report even greater levels of burden and distress than cancer sufferers, yet still take on the role of acting as an informal caregiver so they can attend to their partner's needs. The current study tested whether a theoretical model of supportive outcomes-the dual-process model of supportive communication-explained variations in cancer caregivers' motivation and ability to create high-quality support messages. The study also tested whether participant engagement with reflective journaling on supportive acts was associated with increased motivation or ability to generate high-quality support messages. Based upon the dual-process model, we posited that, following supportive journaling tasks, caregivers of spouses currently managing a cancer experience would report greater motivation but also greater difficulty in generating high-quality support messages, while individuals caring for a patient in remission would report lower motivation but greater ability to create high-quality support messages. Findings provided support for these assertions and suggested that reflective journaling tasks might be a useful tool for improving remission caregivers' ability to provide high-quality social support to survivors. Corresponding theoretical and applied implications are discussed.

  7. Modelling of the Human Knee Joint Supported by Active Orthosis

    Science.gov (United States)

    Musalimov, V.; Monahov, Y.; Tamre, M.; Rõbak, D.; Sivitski, A.; Aryassov, G.; Penkov, I.

    2018-02-01

    The article discusses motion of a healthy knee joint in the sagittal plane and motion of an injured knee joint supported by an active orthosis. A kinematic scheme of a mechanism for the simulation of a knee joint motion is developed and motion of healthy and injured knee joints are modelled in Matlab. Angles between links, which simulate the femur and tibia are controlled by Simulink block of Model predictive control (MPC). The results of simulation have been compared with several samples of real motion of the human knee joint obtained from motion capture systems. On the basis of these analyses and also of the analysis of the forces in human lower limbs created at motion, an active smart orthosis is developed. The orthosis design was optimized to achieve an energy saving system with sufficient anatomy, necessary reliability, easy exploitation and low cost. With the orthosis it is possible to unload the knee joint, and also partially or fully compensate muscle forces required for the bending of the lower limb.

  8. Overcoming barriers to development of cooperative medical decision support models.

    Science.gov (United States)

    Hudson, Donna L; Cohen, Maurice E

    2012-01-01

    Attempts to automate the medical decision making process have been underway for the at least fifty years, beginning with data-based approaches that relied chiefly on statistically-based methods. Approaches expanded to include knowledge-based systems, both linear and non-linear neural networks, agent-based systems, and hybrid methods. While some of these models produced excellent results none have been used extensively in medical practice. In order to move these methods forward into practical use, a number of obstacles must be overcome, including validation of existing systems on large data sets, development of methods for including new knowledge as it becomes available, construction of a broad range of decision models, and development of non-intrusive methods that allow the physician to use these decision aids in conjunction with, not instead of, his or her own medical knowledge. None of these four requirements will come easily. A cooperative effort among researchers, including practicing MDs, is vital, particularly as more information on diseases and their contributing factors continues to expand resulting in more parameters than the human decision maker can process effectively. In this article some of the basic structures that are necessary to facilitate the use of an automated decision support system are discussed, along with potential methods for overcoming existing barriers.

  9. Modelling of the Human Knee Joint Supported by Active Orthosis

    Directory of Open Access Journals (Sweden)

    Musalimov V.

    2018-02-01

    Full Text Available The article discusses motion of a healthy knee joint in the sagittal plane and motion of an injured knee joint supported by an active orthosis. A kinematic scheme of a mechanism for the simulation of a knee joint motion is developed and motion of healthy and injured knee joints are modelled in Matlab. Angles between links, which simulate the femur and tibia are controlled by Simulink block of Model predictive control (MPC. The results of simulation have been compared with several samples of real motion of the human knee joint obtained from motion capture systems. On the basis of these analyses and also of the analysis of the forces in human lower limbs created at motion, an active smart orthosis is developed. The orthosis design was optimized to achieve an energy saving system with sufficient anatomy, necessary reliability, easy exploitation and low cost. With the orthosis it is possible to unload the knee joint, and also partially or fully compensate muscle forces required for the bending of the lower limb.

  10. Observations and models of centrifugally supported magnetospheres in massive stars

    Science.gov (United States)

    Oksala, Mary Elizabeth

    Magnetic massive stars, via their strong magnetic fields and radiation-driven winds, strongly influence the dynamical and chemical evolution of their surroundings. The interaction between these two intrinsic stellar properties can produce dynamic circumstellar structures, and, in the case of rapidly rotating stars, centrifugally supported magnetospheres. This thesis uses new observations to confront current magnetosphere models, testing their predictive power using photometry and spectropolarimetry of the prototypical magnetic B2Vp star sigma Ori E. In addition, we present the discovery of a magnetic field in a second rapidly rotating massive star. At the time of its discovery, this star was the most rapidly rotating non-degenerate magnetic star. We begin with an overview of magnetism in massive stars and wind-field interactions (Chapter 2) and the observational techniques involved in their study (Chapter 3), and summarize historical studies of sigma Ori E (Chapter 4). Chapter 5 describes the detection of rotational braking in sigma Ori E. We find a 77 ms yr-1 lengthening of the rotational period, corresponding to a spindown time of 1.34+0.10 -0.09 Myr. This observed period change agrees well with theoretical predictions for angular momentum loss in a magnetically channeled, line-driven wind. Next we present new spectropolarimetric observations of sigma Ori E (Chapter 6). The observed Halpha variability matches the predictions from a rigidly rotating magnetosphere (RRM) model with an offset dipole magnetic field configuration. However, our new, precise longitudinal magnetic field measurements reveal significant discrepancies with respect to the RRM model, challenging the current form as applied to sigma Ori E and suggesting that the field configuration of this star is more complex than a simple dipole. Chapter 7 describes the first detection of a magnetic field in the B2Vn star HR 7355. From analyzing photometric data, we find a 0.5214404(6) d rotational period

  11. Comprehensive flood economic losses: review of the potential damage and implementation of an agricultural impact model

    OpenAIRE

    Mao Gwladys; Onfroy Thomas; Moncoulon David; Quantin Antoine; Robert Christian

    2016-01-01

    With an annual loss averaging 580 M€ between 1990 and 2014, floods are the main natural catastrophe (Nat Cat) risk for the French Nat Cat compensation scheme. As part of its role in this scheme, the Caisse Centrale de Réassurance (CCR) offers state guaranteed reinsurance programs and has been modelling the risk of flooding since 2003. This model is based on the traditional valuation approach of direct tangible costs which pairs a physical model with exposure through damage curves. CCR wishes ...

  12. A comprehensive model of anaerobic bioconversion of complex substrates to biogas

    DEFF Research Database (Denmark)

    Angelidaki, Irini; Ellegaard, Lars; Ahring, Birgitte Kiær

    1999-01-01

    A dynamic model describing the anaerobic degradation of complex material, and codigestion of different types of wastes, was developed based on a model previously described (Angelidaki et al., 1993). in the model, the substrate is described by its composition of basic organic components, i.e., car...... wastewater and with bentonite-bound oil, which is a waste with high content of lipids. (C) 1999 John Wiley & Sons, Inc. Biotechnol Bioeng 63: 363-372, 1999....

  13. Quantitative Developments of Biomolecular Databases, Measurement Methodology, and Comprehensive Transport Models for Bioanalytical Microfluidics

    Science.gov (United States)

    2006-10-01

    chemistry models (beads and surfaces)[38] M11. Biochemistry database integrated with electrochemistry M12. Hydrogel models for surface biochemistry[30] M13 ...bacteria and λ- phage DNA. This device relies on the balance between electroosmotic flow and DEP force on suspended particles. In another application...electrochemistry M12. Hydrogel models for surface biochemistry[30] M13 . Least square-based engine for extraction of kinetic coefficients[38] M14. Rapid ANN

  14. 78 FR 8535 - Medicare Program: Comprehensive End-Stage Renal Disease Care Model Announcement

    Science.gov (United States)

    2013-02-06

    ... Model, CMS will enter shared financial risk arrangements through ``Participation Agreements'' with... establishing new incentives for dialysis facilities, nephrologists, and other healthcare providers and...

  15. Predictor model for seasonal variations in skid resistance. Volume 2: Comprehensive report

    Science.gov (United States)

    Henry, J. J.; Saito, K.; Blackburn, R.

    1984-04-01

    Two models, utilizing data collected in 1979 and 1980, were developed to predict variations in skid resistance due to rainfall conditions, temperature effects, and time of the year. A generalized predictor model was developed from purely statistical considerations and a mechanistic model was developed from hypothesized mechanisms. This model may be utilized to estimate the skid resistance at any time in the season from a measurement made during the same season, or to adjust skid-resistance measurement made at any time during the season to the end-of-season level.

  16. Comprehensive Modeling of U-Tube Steam Generators Using Extreme Learning Machines

    Science.gov (United States)

    Beyhan, Selami; Kavaklioglu, Kadir

    2015-10-01

    This paper proposes artificial neural network and fuzzy system-based extreme learning machines (ELM) for offline and online modeling of U-tube steam generators (UTSG). Water level of UTSG systems is predicted in a one-step-ahead fashion using nonlinear autoregressive with exogenous input (NARX) topology. Modeling data are generated using a well-known and widely accepted dynamic model reported in the literature. Model performances are analyzed with different number of neurons for the neural network and with different number of rules for the fuzzy system. UTSG models are built at different reactor power levels as well as full range that corresponds to all reactor operating powers. A quantitative comparison of the models are made using the root-mean-squared error (RMSE) and the minimum-descriptive-length (MDL) criteria. Furthermore, conventional back propagation learning-based neural and fuzzy models are also designed for comparing ELMs to classical artificial models. The advantages and disadvantages of the designed models are discussed.

  17. A comprehensive land-use/hydrological modeling system for scenario simulations in the Elbow River watershed, Alberta, Canada.

    Science.gov (United States)

    Wijesekara, Gayan Nishad; Farjad, Babak; Gupta, Anil; Qiao, Ying; Delaney, Patrick; Marceau, Danielle J

    2014-02-01

    The Elbow River watershed in Alberta covers an area of 1,238 km(2) and represents an important source of water for irrigation and municipal use. In addition to being located within the driest area of southern Canada, it is also subjected to considerable pressure for land development due to the rapid population growth in the City of Calgary. In this study, a comprehensive modeling system was developed to investigate the impact of past and future land-use changes on hydrological processes considering the complex surface-groundwater interactions existing in the watershed. Specifically, a spatially explicit land-use change model was coupled with MIKE SHE/MIKE 11, a distributed physically based catchment and channel flow model. Following a rigorous sensitivity analysis along with the calibration and validation of these models, four land-use change scenarios were simulated from 2010 to 2031: business as usual (BAU), new development concentrated within the Rocky View County (RV-LUC) and in Bragg Creek (BC-LUC), respectively, and development based on projected population growth (P-LUC). The simulation results reveal that the rapid urbanization and deforestation create an increase in overland flow, and a decrease in evapotranspiration (ET), baseflow, and infiltration mainly in the east sub-catchment of the watershed. The land-use scenarios affect the hydrology of the watershed differently. This study is the most comprehensive investigation of its nature done so far in the Elbow River watershed. The results obtained are in accordance with similar studies conducted in Canadian contexts. The proposed modeling system represents a unique and flexible framework for investigating a variety of water related sustainability issues.

  18. The Transition From the Present-Day Climate to a Snowball Earth Simulated With a Comprehensive Climate Model

    Science.gov (United States)

    Voigt, A.; Marotzke, J.

    2007-12-01

    Recently, Marotzke and Botzet (2007) have shown that in a comprehensive climate model both the current climate and a completely ice-covered Earth are stable states under today's total solar irradiance (TSI) and greenhouse gas concentrations. By setting TSI to near-zero they were able to cause a transition from the present-day climate to the ice-covered state within 15 years [1]. In order to study the bifurcation point, we have repeated this experiment with the same model, i.e. the Max Planck Institute for Meteorology coupled atmosphere-ocean general circulation model ECHAM5/MPI-OM, at lower resolution (horizontally T31 in the atmosphere and 3.0 degrees in the ocean). We give estimates for the critical values of TSI and greenhouse gas concentrations needed to trigger the transition from the present-day to the ice- covered state. Starting from today's climate and setting TSI to 44% of today's value leads to a glaciation within 30 years. Furthermore, we investigate the degree of oceanic ice-cover needed for an unstoppable glaciation. We find that only an almost completely ice-covered ocean guarantees that the model does not return to the present-day climate when TSI is reset to its today's value. Our results indicate that a snowball Earth could, in principle, be triggered by a brief decrease of TSI. [1] Marotzke, J. and M. Botzet (2007), Present-day and ice-covered equilibrium states in a comprehensive climate model, Geophys. Res. Lett., Vol. 34, No. 16, L16704, doi:10.1029/2006GL028880

  19. Support Vector Machines for Petrophysical Modelling and Lithoclassification

    Science.gov (United States)

    Al-Anazi, Ammal Fannoush Khalifah

    2011-12-01

    Given increasing challenges of oil and gas production from partially depleted conventional or unconventional reservoirs, reservoir characterization is a key element of the reservoir development workflow. Reservoir characterization impacts well placement, injection and production strategies, and field management. Reservoir characterization projects point and line data to a large three-dimensional volume. The relationship between variables, e.g. porosity and permeability, is often established by regression yet the complexities between measured variables often lead to poor correlation coefficients between the regressed variables. Recent advances in machine learning methods have provided attractive alternatives for constructing interpretation models of rock properties in heterogeneous reservoirs. Here, Support Vector Machines (SVMs), a class of a learning machine that is formulated to output regression models and classifiers of competitive generalization capability, has been explored to determine its capabilities for determining the relationship, both in regression and in classification, between reservoir rock properties. This thesis documents research on the capability of SVMs to model petrophysical and elastic properties in heterogeneous sandstone and carbonate reservoirs. Specifically, the capabilities of SVM regression and classification has been examined and compared to neural network-based methods, namely multilayered neural networks, radial basis function neural networks, general regression neural networks, probabilistic neural networks, and linear discriminant analysis. The petrophysical properties that have been evaluated include porosity, permeability, Poisson's ratio and Young's modulus. Statistical error analysis reveals that the SVM method yields comparable or superior predictions of petrophysical and elastic rock properties and classification of the lithology compared to neural networks. The SVM method also shows uniform prediction capability under the

  20. Development of a comprehensive source term model for the Subsurface Disposal Area at the Idaho National Engineering and Environmental Laboratory

    International Nuclear Information System (INIS)

    1997-01-01

    The first detailed comprehensive simulation study to evaluate fate and transport of wastes disposed in the Subsurface Disposal Area (SDA), at the Radioactive Waste Management Complex (RWMC), Idaho National Engineering and Environmental Laboratory (INEEL) has recently been conducted. One of the most crucial parts of this modeling was the source term or release model. The current study used information collected over the last five years defining contaminant specific information including: the amount disposed, the waste form (physical and chemical properties) and the type of container used for each contaminant disposed. This information was used to simulate the release of contaminants disposed in the shallow subsurface at the SDA. The DUST-MS model was used to simulate the release. Modifications were made to allow the yearly disposal information to be incorporated. The modeling includes unique container and release rate information for each of the 42 years of disposal. The results from this simulation effort are used for both a groundwater and a biotic uptake evaluation. As part of this modeling exercise, inadequacies in the available data relating to the release of contaminants have been identified. The results from this modeling study have been used to guide additional data collection activities at the SDA for purposes of increasing confidence in the appropriateness of model predictions

  1. Could implantable cardioverter defibrillators provide a human model supporting the learned helplessness theory of depression?

    Science.gov (United States)

    Goodman, M; Hess, B

    1999-01-01

    Affective symptoms were examined retrospectively in 25 patients following placement of implantable cardioverter defibrillators (ICD) which can produce intermittent shocks without warning in response to cardiac ventricular arrhythmias. The number of ICD random, uncontrollable discharge shocks and pre-ICD history of psychological distress (i.e., depression and/or anxiety) were documented in all patients using a demographics questionnaire and a standardized behavioral/psychological symptoms questionnaire (i.e., Symptom Checklist-90 Revised). ICD patients were dichotomized into two groups: those without a history of psychological distress prior to ICD (n = 18) and those with a history of psychological distress prior to ICD (n = 7). In ICD patients without a prior history, results indicated that quantity of ICD discharge shocks was significantly predictive of current reported depression (r = 0.45, p = 0.03) and current reported anxiety (r = 0.51, p = 0.02). Conversely, in patients with a reported history of psychological distress, there was no significant relationship found between quantity of discharge shocks and current reported depression or anxiety. This study may provide evidence in support of a human model of learned helplessness in that it supports the notion that exposure to an unavoidable and inescapable aversive stimulus was found to be related to patients' reported depression. Further studies may wish to prospectively consider a larger sample as well as a more comprehensive assessment of premorbid psychological symptoms.

  2. Comprehensive models of diffuse interstellar clouds : physical conditions and molecular abundances

    NARCIS (Netherlands)

    Dishoeck, van E.F.; Black, J.H.

    1986-01-01

    The limitations of steady state models of interstellar clouds are explored by means of comparison with observational data corresponding to clouds in front of Zeta Per, Zeta Oph, Chi Oph, and Omicron Per. The improved cloud models were constructed to reproduce the observed H and H2(J) column

  3. Incorporating Response Times in Item Response Theory Models of Reading Comprehension Fluency

    Science.gov (United States)

    Su, Shiyang

    2017-01-01

    With the online assessment becoming mainstream and the recording of response times becoming straightforward, the importance of response times as a measure of psychological constructs has been recognized and the literature of modeling times has been growing during the last few decades. Previous studies have tried to formulate models and theories to…

  4. Relating Toy Models of Quantum Computation: Comprehension, Complementarity and Dagger Mix Autonomous Categories

    NARCIS (Netherlands)

    Pavlovic, Dusko

    2011-01-01

    Toy models have been used to separate important features of quantum computation from the rich background of the standard Hilbert space model. Category theory, on the other hand, is a general tool to separate components of mathematical structures, and analyze one layer at a time. It seems natural to

  5. A Model of International Communication Media Appraisal and Exposure: A Comprehensive Test in Belize.

    Science.gov (United States)

    Johnson, J. David; Oliveira, Omar Souki

    A study constituted the fifth phase of a programmatic research effort designed to develop and test a model of international communications media exposure and appraisal. The model posits that three variables--editorial tone, communication potential, and utility--have positive determinant effects on these dependent variables. Research was carried…

  6. CADLIVE toolbox for MATLAB: automatic dynamic modeling of biochemical networks with comprehensive system analysis.

    Science.gov (United States)

    Inoue, Kentaro; Maeda, Kazuhiro; Miyabe, Takaaki; Matsuoka, Yu; Kurata, Hiroyuki

    2014-09-01

    Mathematical modeling has become a standard technique to understand the dynamics of complex biochemical systems. To promote the modeling, we had developed the CADLIVE dynamic simulator that automatically converted a biochemical map into its associated mathematical model, simulated its dynamic behaviors and analyzed its robustness. To enhance the feasibility by CADLIVE and extend its functions, we propose the CADLIVE toolbox available for MATLAB, which implements not only the existing functions of the CADLIVE dynamic simulator, but also the latest tools including global parameter search methods with robustness analysis. The seamless, bottom-up processes consisting of biochemical network construction, automatic construction of its dynamic model, simulation, optimization, and S-system analysis greatly facilitate dynamic modeling, contributing to the research of systems biology and synthetic biology. This application can be freely downloaded from http://www.cadlive.jp/CADLIVE_MATLAB/ together with an instruction.

  7. using explanatory models to derive simple tools for Avanced Life Support system studies - Crop Modelling

    Science.gov (United States)

    Cavazzoni, J.

    System-level analyses for Advanced Life Support (ALS) require mathematical models for various processes, such as biomass production and waste management, which would ideally be integrated into overall system models. Explanatory models (also referred to as mechanistic or process models) would provide the basis for a more robust system model, as these would be based on an understanding of processes specific to ALS studies. However, integrating such models may not always be practicable because of their complexity, especially for initial system-level analyses where simple sub-models may be satisfactory. One way to address this is to capture important features of explanatory models in simple models that may be readily integrated for system-level analyses. In this paper, explanatory crop models were used to generate parameters and multi-variable polynomial equations for basic models that are suitable for estimating the direction and magnitude of daily changes in canopy gas-exchange, harvest index, and production scheduling due to off- nominal conditions for ALS system studies. The simplest variant of these models consists of only a few equations, and has been integrated into a top-level SIMULINK model for the Bioregenerative Planetary Life Support Systems Test Complex (BIO-Plex), a large-scale human-rated test facility under development at NASA Johnson Space Center. When included in systems studies, the simple crop models may help identify issues that need to be addressed using more detailed modeling studies and specific experiments. Similar modeling simplifications may also prove useful for other ALS sub-systems, as well as for Earth system applications.

  8. Autonomy support, need satisfaction, and motivation for support among adults with intellectual disability : Testing a self-determination theory model

    NARCIS (Netherlands)

    Frielink, Noud; Schuengel, Carlo; Embregts, Petri J.C.M.

    2018-01-01

    The tenets of self-determination theory as applied to support were tested with structural equation modelling for 186 people with ID with a mild to borderline level of functioning. The results showed that (a) perceived autonomy support was positively associated with autonomous motivation and with

  9. Autonomy Support, Need Satisfaction, and Motivation for Support among Adults with Intellectual Disability: Testing a Self-Determination Theory Model

    Science.gov (United States)

    Frielink, Noud; Schuengel, Carlo; Embregts, Petri J. C. M.

    2018-01-01

    The tenets of self-determination theory as applied to support were tested with structural equation modelling for 186 people with ID with a mild to borderline level of functioning. The results showed that (a) perceived autonomy support was positively associated with autonomous motivation and with satisfaction of need for autonomy, relatedness, and…

  10. Using the hydrophobic subtraction model to choose orthogonal columns for online comprehensive two-dimensional liquid chromatography

    DEFF Research Database (Denmark)

    Græsbøll, Rune; Nielsen, Nikoline Juul; Christensen, Jan H.

    2014-01-01

    A method for choosing orthogonal columns for a specific sample set in on-line comprehensive two-dimensional liquid chromatography (LC×LC) was developed on the basis of the hydrophobic subtraction model. The method takes into account the properties of the sample analytes by estimating new F......-weights for the prediction of orthogonality. We compared sets of F-weights and used these F-weights to predict orthogonal column combinations: (1) the standard F-weights determined by Gilroy et al. [1], (2) F-weights determined from the retention of sample analytes, and the same procedure of calculation as described...... neutral and 4 acidic oxygenated polycyclic aromatic compounds (PACs) and 3 nitrogen-containing PAC bases was measured isocratically on 12 columns. The isocratic runs were used to determine the hydrophobic subtraction model analyte parameters, and these were used to estimate new F-weights and predict...

  11. The Assessment of Comprehensive Vulnerability of Chemical Industrial Park Based on Entropy Method and Matter-element Extension Model

    Directory of Open Access Journals (Sweden)

    Yan Jingyi

    2016-01-01

    Full Text Available The paper focuses on studying connotative meaning, evaluation methods and models for chemical industry park based on in-depth analysis of relevant research results in China and abroad, it summarizes and states the feature of menacing vulnerability and structural vulnerability and submits detailed influence factors such as personnel vulnerability, infrastructural vulnerability, environmental vulnerability and the vulnerability of safety managerial defeat. Using vulnerability scoping diagram establishes 21 evaluation indexes and an index system for the vulnerability evaluation of chemical industrial park. The comprehensive weights are calculated with entropy method, combining matter-element extension model to make the quantitative evaluation, then apply to evaluate some chemical industrial park successfully. This method provides a new ideas and ways for enhancing overall safety of the chemical industrial park.

  12. GPCR-ModSim: A comprehensive web based solution for modeling G-protein coupled receptors.

    Science.gov (United States)

    Esguerra, Mauricio; Siretskiy, Alexey; Bello, Xabier; Sallander, Jessica; Gutiérrez-de-Terán, Hugo

    2016-07-08

    GPCR-ModSim (http://open.gpcr-modsim.org) is a centralized and easy to use service dedicated to the structural modeling of G-protein Coupled Receptors (GPCRs). 3D molecular models can be generated from amino acid sequence by homology-modeling techniques, considering different receptor conformations. GPCR-ModSim includes a membrane insertion and molecular dynamics (MD) equilibration protocol, which can be used to refine the generated model or any GPCR structure uploaded to the server, including if desired non-protein elements such as orthosteric or allosteric ligands, structural waters or ions. We herein revise the main characteristics of GPCR-ModSim and present new functionalities. The templates used for homology modeling have been updated considering the latest structural data, with separate profile structural alignments built for inactive, partially-active and active groups of templates. We have also added the possibility to perform multiple-template homology modeling in a unique and flexible way. Finally, our new MD protocol considers a series of distance restraints derived from a recently identified conserved network of helical contacts, allowing for a smoother refinement of the generated models which is particularly advised when there is low homology to the available templates. GPCR- ModSim has been tested on the GPCR Dock 2013 competition with satisfactory results. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

  13. Comprehensive and critical review of the predictive properties of the various mass models

    International Nuclear Information System (INIS)

    Haustein, P.E.

    1984-01-01

    Since the publication of the 1975 Mass Predictions approximately 300 new atomic masses have been reported. These data come from a variety of experimental studies using diverse techniques and they span a mass range from the lightest isotopes to the very heaviest. It is instructive to compare these data with the 1975 predictions and several others (Moeller and Nix, Monahan, Serduke, Uno and Yamada which appeared latter. Extensive numerical and graphical analyses have been performed to examine the quality of the mass predictions from the various models and to identify features in these models that require correction. In general, there is only rough correlation between the ability of a particular model to reproduce the measured mass surface which had been used to refine its adjustable parameters and that model's ability to predict correctly the new masses. For some models distinct systematic features appear when the new mass data are plotted as functions of relevant physical variables. Global intercomparisons of all the models are made first, followed by several examples of types of analysis performed with individual mass models

  14. A comprehensive model of the railway wheelset-track interaction in curves

    Science.gov (United States)

    Martínez-Casas, José; Di Gialleonardo, Egidio; Bruni, Stefano; Baeza, Luis

    2014-09-01

    Train-track interaction has been extensively studied in the last 40 years at least, leading to modelling approaches that can deal satisfactorily with many dynamic problems arising at the wheel/rail interface. However, the available models are usually not considering specifically the running dynamics of the vehicle in a curve, whereas a number of train-track interaction phenomena are specific to curve negotiation. The aim of this paper is to define a model for a flexible wheelset running on a flexible curved track. The main novelty of this work is to combine a trajectory coordinate set with Eulerian modal coordinates; the former permits to consider curved tracks, and the latter models the small relative displacements between the trajectory frame and the solid. In order to reduce the computational complexity of the problem, one single flexible wheelset is considered instead of one complete bogie, and suitable forces are prescribed at the primary suspension seats so that the mean values of the creepages and contact forces are consistent with the low frequency curving dynamics of the complete vehicle. The wheelset model is coupled to a cyclic track model having constant curvature by means of a wheel/rail contact model which accounts for the actual geometry of the contacting profiles and for the nonlinear relationship between creepages and creep forces. The proposed model can be used to analyse a variety of dynamic problems for railway vehicles, including rail corrugation and wheel polygonalisation, squeal noise, numerical estimation of the wheelset service loads. In this paper, simulation results are presented for some selected running conditions to exemplify the application of the model to the study of realistic train-track interaction cases and to point out the importance of curve negotiation effects specifically addressed in the work.

  15. A comprehensive assessment program to improve blood-administering practices using the FOCUS-PDCA model.

    Science.gov (United States)

    Saxena, Sunita; Ramer, Lois; Shulman, Ira A

    2004-09-01

    The Joint Commission on the Accreditation of Healthcare Organizations requires that hospitals have a planned approach to systematically collect data on processes related to the use, ordering, and administering of blood components. This study describes how a comprehensive blood-administering assessment program and the FOCUS-PDCA approach improved overall blood-administering practices. Nurses were trained to observe blood issuance, blood administering, and patient monitoring steps, and to audit patient's charts to measure compliance with blood-ordering procedures. The observations were recorded on a standardized scannable form, which allowed automatic entry of recorded data directly into a computer database. A total of 982 assessments were completed during the 51-month study period. Documentation of informed consent improved from 80 percent to 100 percent. Compliance with a California law that requires patients to receive information on the risks, benefits, and alternatives to transfusion rose from 30 percent to 100 percent. Physicians' compliance in specifying the rate of blood administration improved from 30 percent to 100 percent, and verification of information on the patient's identification band with the patient's self-identification rose from 50 percent to 100 percent. For all other blood-administering steps, compliance remained high throughout the study period. For the past 9 months, 100-percent compliance has been maintained for all transfusion processes, and during this period no mistransfusions or blood administration near-misses have been reported. The blood-administering assessment program described above has improved transfusion practice, reduced the number of near-miss events, and may have prevented mistransfusions.

  16. A comprehensive device modelling of perovskite solar cell with inorganic copper iodide as hole transport material

    Science.gov (United States)

    Zulqarnain Haider, Syed; Anwar, Hafeez; Wang, Mingqing

    2018-03-01

    Hole transport material (HTM) plays an important role in the efficiency and stability of perovskite solar cells (PSCs). Spiro-MeOTAD, the commonly used HTM, is costly and can be easily degraded by heat and moisture, thus offering hindrance to commercialize PSCs. There is dire need to find an alternate inorganic and stable HTM to exploit PSCs with their maximum capability. In this paper, a comprehensive device simulation is used to study various possible parameters that can influence the performance of perovskite solar cell with CuI as HTM. These include the effect of doping density, defect density and thickness of absorber layer, along with the influence of diffusion length of carriers as well as electron affinity of electron transport layer (ETM) and HTM on the performance of PSCs. In addition, hole mobility and doping density of HTM is also investigated. CuI is a p-type inorganic material with low cost and relatively high stability. It is found that concentration of dopant in absorber layer and HTM, the electron affinity of HTM and ETM affect the performance of solar cell minutely, while cell performance improves greatly with the reduction of defect density. Upon optimization of parameters, power conversion efficiency for this device is found to be 21.32%. The result shows that lead-based PSC with CuI as HTM is an efficient system. Enhancing the stability and reduction of defect density are critical factors for future research. These factors can be improved by better fabrication process and proper encapsulation of solar cell.

  17. A new comprehensive model and simulation package for fluidized bed spray granulation processes

    Energy Technology Data Exchange (ETDEWEB)

    Ihlow, M.; Drechsler, J.; Peglow, M.; Henneberg, M. [AVA GbRmbH, Steinfeldstrasse 5, D-39179 Barleben-Magdeburg (Germany); Moerl, L. [Universitaet Magdeburg, Institut fuer Apparate- und Umwelttechnik, Postfach 4120, D-39016 Magdeburg (Germany)

    2004-11-01

    The model introduced in this paper makes it possible to calculate the expected product and bed material particle size distribution, as well as the dynamic behavior of process state variables. It was integrated in the developed software package FBSim and it could be shown that even a complex process like the fluidized bed spray granulation can be simulated in its dynamic behavior, if existing models are extended and coupled. The implemented model achieves a coupled solution of the population balance and heat and mass transfer equations. (Abstract Copyright [2004], Wiley Periodicals, Inc.)

  18. Study on Fuzzy Comprehensive Evaluation Model for the Safety of Mine Belt Conveyor

    Directory of Open Access Journals (Sweden)

    Gong Xiaoyan

    2017-01-01

    Full Text Available To improve the situation of the frequent failures of mine belt conveyor during operation, a model was used to evaluate the safety of mine belt conveyor. Based on the foundation of collecting and analyzing a large quantity of fault information of belt conveyor in the nationwide coal mine, the fault tree model of belt conveyor has been built, then the safety evaluation index system was established by analyzing and removing some secondary indicators. Furthermore, the weighted value of safety evaluation indexs was determined by analytic hierarchy process(AHP, and the single factor fuzzy evaluation matrix was constructed by experts grading method. Additionally, the model was applied in evaluating the security of belt conveyor in Nanliang coal mine. The results shows the security level is recognized to the “general”, which means that this model can be adopted widely in evaluating the safety of mine belt conveyor.

  19. Comprehensive Simulation Lifecycle Management for High Performance Computing Modeling and Simulation, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — There are significant logistical barriers to entry-level high performance computing (HPC) modeling and simulation (M IllinoisRocstar) sets up the infrastructure for...

  20. Integrated urban systems modeling : designing a seamless, comprehensive approach to transportation planning.

    Science.gov (United States)

    2009-01-01

    Metropolitan planning agencies face increasingly complex issues in modeling interactions between the built environment and multimodal transportation systems. Although great strides have been made in simulating land use, travel demand, and traffic flo...

  1. Development of a computer-based training (CBT) course for the FSUTMS comprehensive modeling workshop.

    Science.gov (United States)

    2008-09-01

    FSUTMS training is a major activity of the Systems Planning Office of the Florida Department of : Transportation (FDOT). The training aims to establish and maintain quality assurance for consistent : statewide modeling standards and provide up-to-dat...

  2. 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. PMID:27790232

  3. Comprehensive modelling for eddy current based pressure tube to calandria tube gap measurements

    Science.gov (United States)

    Klein, Geoffrey

    The separation between the pressure tube (PT) and calandria tube (CT), known as gap, in the CANada Uranium Deuterium (CANDURTM) nuclear reactor fuel channels is monitored using a drive-receive eddy current probe. Gap measurement accuracy is crucial to ensure contact does not occur between the PT and CT, as contact can lead to cracking of the PT. Variation of in-reactor parameters can compromise gap measurement accuracy. Validated models of the eddy current response to changes in gap can be used to help identify parameters whose variations most affect gap measurement accuracy. However, current models are limited, since they assume the PT and CT are infinite parallel conductive plates, thereby, neglecting the potential effects of PT and CT curvature. Finite Element Method (FEM) models of flat-plate geometry, true PT-CT gap probe geometry, and concentric tube geometry were developed to explore how different geometric approximations can model gap response. The concentric tube geometry, where the CT remains axially concentric with the PT, accurately accounted for curvature of the PT and varied gap by changing the radius of the CT, had the possibility of an analytical solution. Comparison between the three FEM models and experimental measurements showed that both curved models gave similar accuracy and were more accurate than the flat-plate geometry model. A Second Order Vector Potential (SOVP) formalism was used to develop a semi-analytical model of the concentric tube geometry. This semi-analytical model was shown to be three to five times more accurate than the analytical flat-plate model, when compared with experimental measurements for varying PT wall thickness and resistivity. Using the semi-analytical concentric model, a sensitivity analysis was performed to evaluate which parameter variations had the largest effect on gap measurements. It was shown that variations in liftoff had the largest effect on predicted gap and were approximately two to three times more

  4. Study on Fuzzy Comprehensive Evaluation Model for the Safety of Mine Belt Conveyor

    OpenAIRE

    Gong Xiaoyan; Zhao Minxian; Wu Yue; Qin Shaoni

    2017-01-01

    To improve the situation of the frequent failures of mine belt conveyor during operation, a model was used to evaluate the safety of mine belt conveyor. Based on the foundation of collecting and analyzing a large quantity of fault information of belt conveyor in the nationwide coal mine, the fault tree model of belt conveyor has been built, then the safety evaluation index system was established by analyzing and removing some secondary indicators. Furthermore, the weighted value of safety eva...

  5. Succinate overproduction: A case study of computational strain design using a comprehensive Escherichia coli kinetic model

    Directory of Open Access Journals (Sweden)

    Ali eKhodayari

    2015-01-01

    Full Text Available Computational strain design prediction accuracy has been the focus for many recent efforts through the selective integration of kinetic information into metabolic models. In general, kinetic model prediction quality is determined by the range and scope of genetic and/or environmental perturbations used during parameterization. In this effort, we apply the k-OptForce procedure on a kinetic model of E. coli core metabolism constructed using the Ensemble Modeling (EM method and parameterized using multiple mutant strains data under aerobic respiration with glucose as the carbon source. Minimal interventions are identified that improve succinate yield under both aerobic and anaerobic conditions to test the fidelity of model predictions under both genetic and environmental perturbations. Under aerobic condition, k-OptForce identifies interventions that match existing experimental strategies pointing at a number of unexplored flux redirections such as routing glyoxylate flux through the glycerate metabolism to improve succinate yield. Many of the identified interventions rely on the kinetic descriptions and would not be discoverable by a purely stoichiometric description. In contrast, under fermentative (anaerobic conditions, k-OptForce fails to identify key interventions including up-regulation of anaplerotic reactions and elimination of competitive fermentative products. This is due to the fact that the pathways activated under anaerobic conditions were not properly parameterized as only aerobic flux data were used in the model construction. This study shed light on the importance of condition-specific model parameterization and provides insight onto how to augment kinetic models so as to correctly respond to multiple environmental perturbations.

  6. North Atlantic Coast Comprehensive Study (NACCS) Coastal Storm Model Simulations: Waves and Water Levels

    Science.gov (United States)

    2015-08-01

    Appendix E: Tar Ball Details .............................................................................................. 230 Appendix F: Model and...output files that are to be stored long term are compressed using gzip and then are combined ( tarred ) to- gether into a few tar ball files grouped in a...Appendix E: Tar Ball Details and Appendix F: Model and CSTORM File Descriptions, respectively. Files are stored by class/type, configuration, and run

  7. Comprehensive Analysis and Experimental Validation of an Improved Mathematical Modeling of Photovoltaic Array

    Directory of Open Access Journals (Sweden)

    Satarupa Bal

    2015-01-01

    Full Text Available This paper proposes a simple, accurate, and easy to model approach for the simulation of photovoltaic (PV array and also provides a comparative analysis of the same with two other widely used models. It is highly imperative that the maximum power point (MPP is achieved effectively and thus a simple and robust mathematical model is necessary that poses less mathematical complexity as well as low data storage requirement, in which the maximum power point tracking (MPPT algorithm can be realized in an effective way. Further, the resemblance of the P-V and I-V curves as obtained on the basis of experimental data should also be taken into account for theoretical validation. In addition, the study incorporates the root mean square deviation (RMSD from the experimental data, the fill factor (FF, the efficiency of the model, and the time required for simulation. Two models have been used to investigate the I-V and P-V characteristics. Perturb and Observe method has been adopted for MPPT. The MPP tracking is realized using field programmable gate array (FPGA to prove the effectiveness of the proposed approach. All the systems are modeled and simulated in MATLAB/Simulink environment.

  8. Comprehensive flood economic losses: review of the potential damage and implementation of an agricultural impact model

    Directory of Open Access Journals (Sweden)

    Mao Gwladys

    2016-01-01

    Full Text Available With an annual loss averaging 580 M€ between 1990 and 2014, floods are the main natural catastrophe (Nat Cat risk for the French Nat Cat compensation scheme. As part of its role in this scheme, the Caisse Centrale de Réassurance (CCR offers state guaranteed reinsurance programs and has been modelling the risk of flooding since 2003. This model is based on the traditional valuation approach of direct tangible costs which pairs a physical model with exposure through damage curves. CCR wishes now to widen the studied damage scope to insured and noninsured economic costs and has been collaborating with the SAF research laboratory from the Institute of Financial and Insurance Sciences (ISFA since 2014. CCR’s model has been used to estimate the insured direct damage to residential and non-residential properties and it is now being developed to include damage to vehicles, agriculture and network infrastructures. Research is also being carried out to take into account business interruptions and indirect losses using an Input-Output model. This article describes the undergoing work on model development to estimate the damage to agriculture.

  9. A comprehensive approach to dark matter studies: exploration of simplified top-philic models

    Energy Technology Data Exchange (ETDEWEB)

    Arina, Chiara; Backović, Mihailo [Centre for Cosmology, Particle Physics and Phenomenology (CP3),Université catholique de Louvain, Chemin du Cyclotron 2, B-1348 Louvain-la-Neuve (Belgium); Conte, Eric [Groupe de Recherche de Physique des Hautes Énergies (GRPHE), Université de Haute-Alsace,IUT Colmar, F-68008 Colmar Cedex (France); Fuks, Benjamin [Sorbonne Universités, UPMC University Paris 06, UMR 7589, LPTHE, F-75005, Paris (France); CNRS, UMR 7589, LPTHE, F-75005, Paris (France); Guo, Jun [State Key Laboratory of Theoretical Physics, Institute of Theoretical Physics,Chinese Academy of Sciences, Beijing 100190 (China); Institut Pluridisciplinaire Hubert Curien/Département Recherches Subatomiques,Université de Strasbourg/CNRS-IN2P3, F-67037 Strasbourg (France); Heisig, Jan [Institute for Theoretical Particle Physics and Cosmology, RWTH Aachen University,Sommerfeldstr. 16, D-52056 Aachen (Germany); Hespel, Benoît [Centre for Cosmology, Particle Physics and Phenomenology (CP3),Université catholique de Louvain, Chemin du Cyclotron 2, B-1348 Louvain-la-Neuve (Belgium); Krämer, Michael [Institute for Theoretical Particle Physics and Cosmology, RWTH Aachen University,Sommerfeldstr. 16, D-52056 Aachen (Germany); Maltoni, Fabio; Martini, Antony [Centre for Cosmology, Particle Physics and Phenomenology (CP3),Université catholique de Louvain, Chemin du Cyclotron 2, B-1348 Louvain-la-Neuve (Belgium); Mawatari, Kentarou [Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes,CNRS/IN2P3, 53 Avenue des Martyrs, F-38026 Grenoble (France); Theoretische Natuurkunde and IIHE/ELEM, Vrije Universiteit Brussel andInternational Solvay Institutes, Pleinlaan 2, B-1050 Brussels (Belgium); Pellen, Mathieu [Universität Würzburg, Institut für Theoretische Physik und Astrophysik,Emil-Hilb-Weg 22, 97074 Würzburg (Germany); Vryonidou, Eleni [Centre for Cosmology, Particle Physics and Phenomenology (CP3),Université catholique de Louvain, Chemin du Cyclotron 2, B-1348 Louvain-la-Neuve (Belgium)

    2016-11-21

    Studies of dark matter lie at the interface of collider physics, astrophysics and cosmology. Constraining models featuring dark matter candidates entails the capability to provide accurate predictions for large sets of observables and compare them to a wide spectrum of data. We present a framework which, starting from a model Lagrangian, allows one to consistently and systematically make predictions, as well as to confront those predictions with a multitude of experimental results. As an application, we consider a class of simplified dark matter models where a scalar mediator couples only to the top quark and a fermionic dark sector (i.e. the simplified top-philic dark matter model). We study in detail the complementarity of relic density, direct/indirect detection and collider searches in constraining the multi-dimensional model parameter space, and efficiently identify regions where individual approaches to dark matter detection provide the most stringent bounds. In the context of collider studies of dark matter, we point out the complementarity of LHC searches in probing different regions of the model parameter space with final states involving top quarks, photons, jets and/or missing energy. Our study of dark matter production at the LHC goes beyond the tree-level approximation and we show examples of how higher-order corrections to dark matter production processes can affect the interpretation of the experimental results.

  10. A comprehensive viscosity model for micro magnetic particle dispersed in silicone oil

    Energy Technology Data Exchange (ETDEWEB)

    Jung, Im Doo; Kim, Moobum; Park, Seong Jin, E-mail: sjpark87@postech.ac.kr

    2016-04-15

    Magnetorheological behavior of micro magnetic particle dispersed in silicone oil has been characterized by a multiplied form of phenomenological models taking the effect of shear rate, powder volume fraction, temperature and magnetic flux density. Magnetorheological fluid samples with seven different particle volume fraction were prepared by adding ferrite particles in silicone base oil and their shear viscosity of fluid samples were measured under three different temperatures (40 °C, 70 °C, and 110 °C) and ten different magnetic flux density (0–100 mT). The fluid had an upper limit to the increase of viscosity under the effect of external magnetic field and the saturation values were dependent on the operating temperature, shear rate and volume fraction of magnetic powder. The rheological behaviors have been characterized by our developed model which can be very useful for the precise control of the magnetorheological fluid. - Highlights: • A magnetorheological model has been developed for micro particle based MR fluids. • Krieger & Dougherty model described well the effect of metal particle volume fraction. • Upper limits to the increase of viscosity by magnetic field have been characterized. • Multiplied form of models represented well the experimental viscosity data. • Our proposed model can well predict the rheological behavior under various conditions.

  11. A comprehensive adsorption study and modeling of antibiotics as a pharmaceutical waste by graphene oxide nanosheets.

    Science.gov (United States)

    Rostamian, Rahele; Behnejad, Hassan

    2018-01-01

    The adsorption behavior of tetracycline (TCN), doxycycline (DCN) as the most common antibiotics in veterinary and ciprofloxacin (CPN) onto graphene oxide nanosheets (GOS) in aqueous solution was evaluated. The four factors influencing the adsorption of antibiotics (initial concentration, pH, temperature and contact time) were studied. The results showed that initial pH ∼ 6 to 7 and contact time ∼ 100 - 200min are optimum for each drug. The monolayer adsorption capacity was reduced with the increasing temperature from 25°C to 45°C. Non-linear regressions were carried out in order to define the best fit model for every system. To do this, eight error functions were applied to predict the optimum model. Among various models, Hill and Toth isotherm models represented the equilibrium adsorption data of antibiotics while the kinetic data were well fitted by pseudo second-order (PSO) kinetic model (DCN and TCN) and Elovich (CPN) models. The maximum adsorption capacity (q max ) is found to be in the following order: CPN > DCN > TCN, obtained from sips equation at the same temperature. The GOS shows highest adsorption capacity towards CPN up to 173.4mgg -1 . The study showed that GOS can be removed more efficiently from water solution. Copyright © 2017 Elsevier Inc. All rights reserved.

  12. [Designing and Operating a Comprehensive Mental Health Management System to Support Faculty at a University That Contains a Medical School and University Hospital].

    Science.gov (United States)

    Kawanishi, Chiaki

    2016-01-01

    In Japan, healthcare professionals and healthcare workers typically practice a culture of self-assessment when it comes to managing their own health. Even where this background leads to instances of mental health disorders or other serious problems within a given organization, such cases are customarily addressed by the psychiatrists or psychiatric departments of the facilities affected. Organized occupational mental health initiatives for professionals and workers within the healthcare system are extremely rare across Japan, and there is little recognition of the need for such initiatives even among those most directly affected. The author has some experience designing and operating a comprehensive health management system to support students and faculty at a university in the Tokyo Metropolitan Area that contains a medical school and university hospital. At this university, various mental health-related problems were routinely being allowed to develop into serious cases, while the fundamental reforms required by the health management center and the mental health management scheme organized through the center had come to represent a challenge for the entire university. From this initial situation, we undertook several successive initiatives, including raising the number of staff in the health management center and its affiliated organizations, revising and drafting new health management rules and regulations, launching an employment support and management system, implementing screenings to identify people with mental ill-health, revamping and expanding a counselling response system, instituting regular collaboration meetings with academic affairs staff, and launching educational and awareness-raising activities. This resulted in the possibility of intervention in all cases of mental health crisis, such as suicidal ideation. We counted more than 2,400 consultations (cumulative total number; more than half of consultations was from the medical school, postgraduate

  13. The Stochastic Multicloud Model as part of an operational convection parameterisation in a comprehensive GCM

    Science.gov (United States)

    Peters, Karsten; Jakob, Christian; Möbis, Benjamin

    2015-04-01

    An adequate representation of convective processes in numerical models of the atmospheric circulation (general circulation models, GCMs) remains one of the grand challenges in atmospheric science. In particular, the models struggle with correctly representing the spatial distribution and high variability of tropical convection. It is thought that this model deficiency partly results from formulating current convection parameterisation schemes in a purely deterministic manner. Here, we use observations of tropical convection to inform the design of a novel convection parameterisation with stochastic elements. The novel scheme is built around the Stochastic MultiCloud Model (SMCM, Khouider et al 2010). We present the progress made in utilising SMCM-based estimates of updraft area fractions at cloud base as part of the deep convection scheme of a GCM. The updraft area fractions are used to yield one part of the cloud base mass-flux used in the closure assumption of convective mass-flux schemes. The closure thus receives a stochastic component, potentially improving modeled convective variability and coherence. For initial investigations, we apply the above methodology to the operational convective parameterisation of the ECHAM6 GCM. We perform 5-year AMIP simulations, i.e. with prescribed observed SSTs. We find that with the SMCM, convection is weaker and more coherent and continuous from timestep to timestep compared to the standard model. Total global precipitation is reduced in the SMCM run, but this reduces i) the overall error compared to observed global precipitation (GPCP) and ii) middle tropical tropospheric temperature biases compared to ERA-Interim. Hovmoeller diagrams indicate a slightly higher degree of convective organisation compared to the base case and Wheeler-Kiladis frequency wavenumber diagrams indicate slightly more spectral power in the MJO range.

  14. Exploring the Venus global super-rotation using a comprehensive general circulation model

    Science.gov (United States)

    Mendonça, J. M.; Read, P. L.

    2016-12-01

    The atmospheric circulation in Venus is well known to exhibit strong super-rotation. However, the atmospheric mechanisms responsible for the formation of this super-rotation are still not fully understood. In this work, we developed a new Venus general circulation model to study the most likely mechanisms driving the atmosphere to the current observed circulation. Our model includes a new radiative transfer, convection and suitably adapted boundary layer schemes and a dynamical core that takes into account the dependence of the heat capacity at constant pressure with temperature. The new Venus model is able to simulate a super-rotation phenomenon in the cloud region quantitatively similar to the one observed. The mechanisms maintaining the strong winds in the cloud region were found in the model results to be a combination of zonal mean circulation, thermal tides and transient waves. In this process, the semi-diurnal tide excited in the upper clouds has a key contribution in transporting axial angular momentum mainly from the upper atmosphere towards the cloud region. The magnitude of the super-rotation in the cloud region is sensitive to various radiative parameters such as the amount of solar radiative energy absorbed by the surface, which controls the static stability near the surface. In this work, we also discuss the main difficulties in representing the flow below the cloud base in Venus atmospheric models. Our new radiative scheme is more suitable for 3D Venus climate models than those used in previous work due to its easy adaptability to different atmospheric conditions. This flexibility of the model was crucial to explore the uncertainties in the lower atmospheric conditions and may also be used in the future to explore, for example, dynamical-radiative-microphysical feedbacks.

  15. Characterization of infiltration rates from landfills: supporting groundwater modeling efforts.

    Science.gov (United States)

    Moo-Young, Horace; Johnson, Barnes; Johnson, Ann; Carson, David; Lew, Christine; Liu, Salley; Hancocks, Katherine

    2004-01-01

    The purpose of this paper is to review the literature to characterize infiltration rates from landfill liners to support groundwater modeling efforts. The focus of this investigation was on collecting studies that describe the performance of liners 'as installed' or 'as operated'. This document reviews the state of the science and practice on the infiltration rate through compacted clay liner (CCL) for 149 sites and geosynthetic clay liner (GCL) for 1 site. In addition, it reviews the leakage rate through geomembrane (GM) liners and composite liners for 259 sites. For compacted clay liners (CCL), there was limited information on infiltration rates (i.e., only 9 sites reported infiltration rates.), thus, it was difficult to develop a national distribution. The field hydraulic conductivities for natural clay liners range from 1 x 10(-9) cm s(-1) to 1 x 10(-4) cm s(-1), with an average of 6.5 x 10(-8) cm s(-1). There was limited information on geosynthetic clay liner. For composite lined and geomembrane systems, the leak detection system flow rates were utilized. The average monthly flow rate for composite liners ranged from 0-32 lphd for geomembrane and GCL systems to 0 to 1410 lphd for geomembrane and CCL systems. The increased infiltration for the geomembrane and CCL system may be attributed to consolidation water from the clay.

  16. Interruptions disrupt reading comprehension.

    Science.gov (United States)

    Foroughi, Cyrus K; Werner, Nicole E; Barragán, Daniela; Boehm-Davis, Deborah A

    2015-06-01

    Previous research suggests that being interrupted while reading a text does not disrupt the later recognition or recall of information from that text. This research is used as support for Ericsson and Kintsch's (1995) long-term working memory (LT-WM) theory, which posits that disruptions while reading (e.g., interruptions) do not impair subsequent text comprehension. However, to fully comprehend a text, individuals may need to do more than recognize or recall information that has been presented in the text at a later time. Reading comprehension often requires individuals to connect and synthesize information across a text (e.g., successfully identifying complex topics such as themes and tones) and not just make a familiarity-based decision (i.e., recognition). The goal for this study was to determine whether interruptions while reading disrupt reading comprehension when the questions assessing comprehension require participants to connect and synthesize information across the passage. In Experiment 1, interruptions disrupted reading comprehension. In Experiment 2, interruptions disrupted reading comprehension but not recognition of information from the text. In Experiment 3, the addition of a 15-s time-out prior to the interruption successfully removed these negative effects. These data suggest that the time it takes to process the information needed to successfully comprehend text when reading is greater than that required for recognition. Any interference (e.g., an interruption) that occurs during the comprehension process may disrupt reading comprehension. This evidence supports the need for transient activation of information in working memory for successful text comprehension and does not support LT-WM theory. (c) 2015 APA, all rights reserved).

  17. Regional scale effects of the aerosol cloud interaction simulated with an online coupled comprehensive chemistry model

    Directory of Open Access Journals (Sweden)

    M. Bangert

    2011-05-01

    Full Text Available We have extended the coupled mesoscale atmosphere and chemistry model COSMO-ART to account for the transformation of aerosol particles into cloud condensation nuclei and to quantify their interaction with warm cloud microphysics on the regional scale. The new model system aims to fill the gap between cloud resolving models and global scale models. It represents the very complex microscale aerosol and cloud physics as detailed as possible, whereas the continental domain size and efficient codes will allow for both studying weather and regional climate. The model system is applied in a first extended case study for Europe for a cloudy five day period in August 2005.

    The model results show that the mean cloud droplet number concentration of clouds is correlated with the structure of the terrain, and we present a terrain slope parameter TS to classify this dependency. We propose to use this relationship to parameterize the probability density function, PDF, of subgrid-scale cloud updraft velocity in the activation parameterizations of climate models.

    The simulations show that the presence of cloud condensation nuclei (CCN and clouds are closely related spatially. We find high aerosol and CCN number concentrations in the vicinity of clouds at high altitudes. The nucleation of secondary particles is enhanced above the clouds. This is caused by an efficient formation of gaseous aerosol precursors above the cloud due to more available radiation, transport of gases in clean air above the cloud, and humid conditions. Therefore the treatment of complex photochemistry is crucial in atmospheric models to simulate the distribution of CCN.

    The mean cloud droplet number concentration and droplet diameter showed a close link to the change in the aerosol. To quantify the net impact of an aerosol change on the precipitation we calculated the precipitation susceptibility β for the whole model domain over a period of two days with

  18. Development of a comprehensive watershed model applied to study stream yield under drought conditions

    Science.gov (United States)

    Perkins, S.P.; Sophocleous, M.

    1999-01-01

    We developed a model code to simulate a watershed's hydrology and the hydraulic response of an interconnected stream-aquifer system, and applied the model code to the Lower Republican River Basin in Kansas. The model code links two well-known computer programs: MODFLOW (modular 3-D flow model), which simulates ground water flow and stream-aquifer interaction; and SWAT (soil water assessment tool), a soil water budget simulator for an agricultural watershed. SWAT represents a basin as a collection of subbasins in terms of soil, land use, and weather data, and simulates each subbasin on a daily basis to determine runoff, percolation, evaporation, irrigation, pond seepages and crop growth. Because SWAT applies a lumped hydrologic model to each subbasin, spatial heterogeneities with respect to factors such as soil type and land use are not resolved geographically, but can instead be represented statistically. For the Republican River Basin model, each combination of six soil types and three land uses, referred to as a hydrologic response unit (HRU), was simulated with a separate execution of SWAT. A spatially weighted average was then taken over these results for each hydrologic flux and time step by a separate program, SWBAVG. We wrote a package for MOD-FLOW to associate each subbasin with a subset of aquifer grid cells and stream reaches, and to distribute the hydrologic fluxes given for each subbasin by SWAT and SWBAVG over MODFLOW's stream-aquifer grid to represent tributary flow, surface and ground water diversions, ground water recharge, and evapotranspiration from ground water. The Lower Republican River Basin model was calibrated with respect to measured ground water levels, streamflow, and reported irrigation water use. The model was used to examine the relative contributions of stream yield components and the impact on stream yield and base flow of administrative measures to restrict irrigation water use during droughts. Model results indicate that tributary

  19. Predictive models and prognostic factors for upper tract urothelial carcinoma: a comprehensive review of the literature.

    Science.gov (United States)

    Mbeutcha, Aurélie; Mathieu, Romain; Rouprêt, Morgan; Gust, Kilian M; Briganti, Alberto; Karakiewicz, Pierre I; Shariat, Shahrokh F

    2016-10-01

    In the context of customized patient care for upper tract urothelial carcinoma (UTUC), decision-making could be facilitated by risk assessment and prediction tools. The aim of this study was to provide a critical overview of existing predictive models and to review emerging promising prognostic factors for UTUC. A literature search of articles published in English from January 2000 to June 2016 was performed using PubMed. Studies on risk group stratification models and predictive tools in UTUC were selected, together with studies on predictive factors and biomarkers associated with advanced-stage UTUC and oncological outcomes after surgery. Various predictive tools have been described for advanced-stage UTUC assessment, disease recurrence and cancer-specific survival (CSS). Most of these models are based on well-established prognostic factors such as tumor stage, grade and lymph node (LN) metastasis, but some also integrate newly described prognostic factors and biomarkers. These new prediction tools seem to reach a high level of accuracy, but they lack external validation and decision-making analysis. The combinations of patient-, pathology- and surgery-related factors together with novel biomarkers have led to promising predictive tools for oncological outcomes in UTUC. However, external validation of these predictive models is a prerequisite before their introduction into daily practice. New models predicting response to therapy are urgently needed to allow accurate and safe individualized management in this heterogeneous disease.

  20. Pharmacophore modeling, comprehensive 3D-QSAR, and binding mode analysis of TGR5 agonists.

    Science.gov (United States)

    Sindhu, Thangaraj; Srinivasan, Pappu

    2017-04-01

    Takeda G-protein-coupled receptor 5 (TGR5) is emerging as an important and promising target for the development of anti-diabetic drugs. Pharmacophore modeling and atom-based 3D-QSAR studies were carried out on a new series of 5-phenoxy-1,3-dimethyl-1H-pyrazole-4-carboxamides as highly potent agonists of TGR5. The generated best six featured pharmacophore model AAHHRR consists of two hydrogen bond acceptors (A): two hydrophobic groups (H) and two aromatic rings (R). The constructed 3D-QSAR model acquired excellent correlation coefficient value (R 2  =   0.9018), exhibited good predictive power (Q 2  =   0.8494) and high Fisher ratio (F = 61.2). The pharmacophore model was validated through Guner-Henry (GH) scoring method. The GH value of 0.5743 indicated that the AAHHRR model was statistically valuable and reliable in the identification of TGR5 agonists. Furthermore, the combined approach of molecular docking and binding free energy calculations were carried out for the 5-phenoxy-1,3-dimethyl-1H-pyrazole-4-carboxamides to explore the binding mode and interaction pattern. The generated contour maps revealed the important structural insights for the activity of the compounds. The results obtained from this study could be helpful in the development of novel and more potent agonists of TGR5.

  1. Comprehensive Validation of an Intermittency Transport Model for Transitional Low-Pressure Turbine Flows

    Science.gov (United States)

    Suzen, Y. B.; Huang, P. G.

    2005-01-01

    A transport equation for the intermittency factor is employed to predict transitional flows under the effects of pressure gradients, freestream turbulence intensities, Reynolds number variations, flow separation and reattachment. and unsteady wake-blade interactions representing diverse operating conditions encountered in low-pressure turbines. The intermittent behaviour of the transitional flows is taken into account and incorporated into computations by modifying the eddy viscosity, Mu(sub t), with the intermittency factor, gamma. Turbulent quantities are predicted by using Menter's two-equation turbulence model (SST). The onset location of transition is obtained from correlations based on boundary-layer momentum thickness, acceleration parameter, and turbulence intensity. The intermittency factor is obtained from a transport model which can produce both the experimentally observed streamwise variation of intermittency and a realistic profile in the cross stream direction. The intermittency transport model is tested and validated against several well documented low pressure turbine experiments ranging from flat plate cases to unsteady wake-blade interaction experiments. Overall, good agreement between the experimental data and computational results is obtained illustrating the predicting capabilities of the model and the current intermittency transport modelling approach for transitional flow simulations.

  2. Comprehensive Mapping of Pluripotent Stem Cell Metabolism Using Dynamic Genome-Scale Network Modeling

    Directory of Open Access Journals (Sweden)

    Sriram Chandrasekaran

    2017-12-01

    Full Text Available Summary: Metabolism is an emerging stem cell hallmark tied to cell fate, pluripotency, and self-renewal, yet systems-level understanding of stem cell metabolism has been limited by the lack of genome-scale network models. Here, we develop a systems approach to integrate time-course metabolomics data with a computational model of metabolism to analyze the metabolic state of naive and primed murine pluripotent stem cells. Using this approach, we find that one-carbon metabolism involving phosphoglycerate dehydrogenase, folate synthesis, and nucleotide synthesis is a key pathway that differs between the two states, resulting in differential sensitivity to anti-folates. The model also predicts that the pluripotency factor Lin28 regulates this one-carbon metabolic pathway, which we validate using metabolomics data from Lin28-deficient cells. Moreover, we identify and validate metabolic reactions related to S-adenosyl-methionine production that can differentially impact histone methylation in naive and primed cells. Our network-based approach provides a framework for characterizing metabolic changes influencing pluripotency and cell fate. : Chandrasekaran et al. use computational modeling, metabolomics, and metabolic inhibitors to discover metabolic differences between various pluripotent stem cell states and infer their impact on stem cell fate decisions. Keywords: systems biology, stem cell biology, metabolism, genome-scale modeling, pluripotency, histone methylation, naive (ground state, primed state, cell fate, metabolic network

  3. Comprehensive, Mixed-Methods Assessment of a Blended Learning Model for Geospatial Literacy Instruction

    Science.gov (United States)

    Brodeur, J. J.; Maclachlan, J. C.; Bagg, J.; Chiappetta-Swanson, C.; Vine, M. M.; Vajoczki, S.

    2013-12-01

    Geospatial literacy -- the ability to conceptualize, capture, analyze and communicate spatial phenomena -- represents an important competency for 21st Century learners in a period of 'Geospatial Revolution'. Though relevant to in-course learning, these skills are often taught externally, placing time and resource pressures on the service providers - commonly libraries - that are relied upon to provide instruction. The emergence of online and blended modes of instruction has presented a potential means of increasing the cost-effectiveness of such activities, by simultaneously reducing instructional costs, expanding the audience for these resources, and addressing student preferences for asynchronous learning and '24-7' access. During 2011 and 2012, McMaster University Library coordinated the development, implementation and assessment of blended learning modules for geospatial literacy instruction in first-year undergraduate Social Science courses. In this paper, we present the results of a comprehensive mixed-methods approach to assess the efficacy of implementing blended learning modules to replace traditional (face-to-face), library-led, first-year undergraduate geospatial literacy instruction. Focus groups, personal interviews and an online survey were used to assess modules across dimensions of: student use, satisfaction and accessibility requirements (via Universal Instructional Design [UID] principles); instructor and teaching staff perception of pedagogical efficacy and instructional effectiveness; and, administrator cost-benefit assessment of development and implementation. Results showed that both instructors and students identified significant value in using the online modules in a blended-learning setting. Reaffirming assumptions of students' '24/7' learning preferences, over 80% of students reported using the modules on a repeat basis. Students were more likely to use the modules to better understand course content than simply to increase their grade in

  4. A Comprehensive Fluid Dynamic-Diffusion Model of Blood Microcirculation with Focus on Sickle Cell Disease

    Science.gov (United States)

    Le Floch, Francois; Harris, Wesley L.

    2009-11-01

    A novel methodology has been developed to address sickle cell disease, based on highly descriptive mathematical models for blood flow in the capillaries. Our investigations focus on the coupling between oxygen delivery and red blood cell dynamics, which is crucial to understanding sickle cell crises and is unique to this blood disease. The main part of our work is an extensive study of blood dynamics through simulations of red cells deforming within the capillary vessels, and relies on the use of a large mathematical system of equations describing oxygen transfer, blood plasma dynamics and red cell membrane mechanics. This model is expected to lead to the development of new research strategies for sickle cell disease. Our simulation model could be used not only to assess current researched remedies, but also to spur innovative research initiatives, based on our study of the physical properties coupled in sickle cell disease.

  5. Is there a need for hydrological modelling in decision support systems for nuclear emergencies

    International Nuclear Information System (INIS)

    Raskob, W.; Heling, R.; Zheleznyak, M.

    2004-01-01

    This paper discusses the role of hydrological modelling in decision support systems for nuclear emergencies. In particular, most recent developments such as, the radionuclide transport models integrated in to the decision support system RODOS will be explored. Recent progress in the implementation of physically-based distributed hydrological models for operational forecasting in national and supranational centres, may support a closer cooperation between national hydrological services and therefore, strengthen the use of hydrological and radiological models implemented in decision support systems. (authors)

  6. Comprehensive analysis of leukocytes, vascularization and matrix metalloproteinases in human menstrual xenograft model.

    Directory of Open Access Journals (Sweden)

    Yong Guo

    Full Text Available In our previous study, menstrual-like changes in mouse were provoked through the pharmacologic withdrawal of progesterone with mifepristone following induction of decidualization. However, mouse is not a natural menstruation animal, and the menstruation model using external stimuli may not truly reflect the occurrence and development of the human menstrual process. Therefore, we established a model of menstruation based on human endometrial xenotransplantation. In this model, human endometrial tissues were transplanted subcutaneously into SCID mice that were ovarectomized and supplemented with estrogen and progestogen by silastic implants with a scheme imitating the endocrinological milieu of human menstrual cycle. Morphology, hormone levels, and expression of vimentin and cytokeratin markers were evaluated to confirm the menstrual-like changes in this model. With 28 days of hormone treatment, transplanted human endometrium survived and underwent proliferation, differentiation and disintegration, similar to human endometrium in vivo. Human CD45+ cells showed a peak of increase 28 days post-transplantation. Three days after progesterone withdrawal, mouse CD45+ cells increased rapidly in number and were significantly greater than human CD45+ cell counts. Mouse CD31+ blood vascular-like structures were detected in both transplanted and host tissues. After progesterone withdrawal, the expression levels of matrix metalloproteinases (MMP 1, 2, and 9 were increased. In summary, we successfully established a human endometrial xenotransplantation model in SCID mice, based on the results of menstrual-like changes in which MMP-1, 2 and 9 are involved. We showed that leukocytes are originated from in situ proliferation in human xenografts and involved in the occurrence of menstruation. This model will help to further understand the occurrence, growth, and differentiation of the endometrium and the underlying mechanisms of menstruation.

  7. A comprehensive iso-octane combustion model with improved thermochemistry and chemical kinetics

    KAUST Repository

    Atef, Nour

    2017-02-05

    Iso-Octane (2,2,4-trimethylpentane) is a primary reference fuel and an important component of gasoline fuels. Moreover, it is a key component used in surrogates to study the ignition and burning characteristics of gasoline fuels. This paper presents an updated chemical kinetic model for iso-octane combustion. Specifically, the thermodynamic data and reaction kinetics of iso-octane have been re-assessed based on new thermodynamic group values and recently evaluated rate coefficients from the literature. The adopted rate coefficients were either experimentally measured or determined by analogy to theoretically calculated values. Furthermore, new alternative isomerization pathways for peroxy-alkyl hydroperoxide (ȮOQOOH) radicals were added to the reaction mechanism. The updated kinetic model was compared against new ignition delay data measured in rapid compression machines (RCM) and a high-pressure shock tube. These experiments were conducted at pressures of 20 and 40 atm, at equivalence ratios of 0.4 and 1.0, and at temperatures in the range of 632–1060 K. The updated model was further compared against shock tube ignition delay times, jet-stirred reactor oxidation speciation data, premixed laminar flame speeds, counterflow diffusion flame ignition, and shock tube pyrolysis speciation data available in the literature. Finally, the updated model was used to investigate the importance of alternative isomerization pathways in the low temperature oxidation of highly branched alkanes. When compared to available models in the literature, the present model represents the current state-of-the-art in fundamental thermochemistry and reaction kinetics of iso-octane; and thus provides the best prediction of wide ranging experimental data and fundamental insights into iso-octane combustion chemistry.

  8. A comprehensive model of catastrophic optical-damage in broad-area laser diodes

    Science.gov (United States)

    Chin, A. K.; Bertaska, R. K.; Jaspan, M. A.; Flusberg, A. M.; Swartz, S. D.; Knapczyk, M. T.; Petr, R.; Smilanski, I.; Jacob, J. H.

    2009-02-01

    The present model of formation and propagation of catastrophic optical-damage (COD), a random failure-mode in laser diodes, was formulated in 1974 and has remained substantially unchanged. We extend the model of COD phenomena, based on analytical studies involving EBIC (electron-beam induced current), STEM (scanning transmission-electron microscopy) and sophisticated optical-measurements. We have determined that a ring-cavity mode, whose presence has not been previously reported, significantly contributes to COD initiation and propagation in broad-area laser-diodes.

  9. Modelling Supported Driving as an Optimal Control Cycle : Framework and Model Characteristics

    NARCIS (Netherlands)

    Wang, M.; Treiber, M.; Daamen, W.; Hoogendoorn, S.P.; Van Arem, B.

    2013-01-01

    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

  10. Implications of a More Comprehensive Nitrogen Cycle in a Global Biogeochemical Ocean Model

    Science.gov (United States)

    Six, K. D.; Ilyina, T.

    2016-02-01

    Nitrogen plays a crucial role for nearly all living organisms in the Earth system. Changes in the marine nitrogen cycle not only alter the marine biota, but will also have an impact on the marine carbon cycle and, in turn, on climate due to the close coupling of the carbon-nitrogen cycle. The understanding of processes and controls of the marine nitrogen cycle is therefore a prerequisite to reduce uncertainties in the prediction of future climate. Nevertheless, most ocean biogeochemical components of modern Earth system models have a rather simplistic representation of marine N-cycle mainly focusing on nitrate. Here we present results of the HAMburg Ocean Carbon Cycle model (HAMOCC) as part of the MPI-ESM which was extended by a prognostic representation of ammonium and nitrite to resolve important processes of the marine N-cycle such as nitrification and anaerobic ammonium oxidation (anammox). Additionally, we updated the production of nitrous oxide, an important greenhouse gas, allowing for two sources from oxidation of ammonium (nitrification) and from reduction of nitrite (nitrifier-denitrification) at low oxygen concentrations. Besides an extended model data comparison we discuss the following aspects of the N-cycle by model means: (1) contribution of anammox to the loss of fixed nitrogen, and (2) production and emission of marine nitrous oxide.

  11. Exploring Reading Comprehension Skill Relationships through the G-DINA Model

    Science.gov (United States)

    Chen, Huilin; Chen, Jinsong

    2016-01-01

    By analysing the test data of 1029 British secondary school students' performance on 20 Programme for International Student Assessment English reading items through the generalised deterministic input, noisy "and" gate (G-DINA) model, the study conducted two investigations on exploring the relationships among the five reading…

  12. Quantifying cross-linguistic influence with a computational model : A study of case-marking comprehension

    NARCIS (Netherlands)

    Matusevych, Yevgen; Alishahi, Afra; Backus, Albert

    2017-01-01

    Cross-linguistic influence (CLI) is one of the key phenomena in bilingual and second language learning. We propose a method for quantifying CLI in the use of linguistic constructions with the help of a computational model, which acquires constructions in two languages from bilingual input. We focus

  13. Making Digital Elevation ModelsAccessible, Comprehensible, and Engaging through Real-Time Visualization

    DEFF Research Database (Denmark)

    Kjeldsen, Thomas Kim; Mikkelsen, Peter Trier; Mosegaard, Jesper

    2015-01-01

    In this paper we present our initial experiments with the new high quality digital elevation model, “Danmarks Højdemodel-2015” (DHM) exposed as an interactive 3D visualization on web and in virtual reality. We argue that such data has great opportunities to spawn new business and new insight for ...

  14. Fitting the Mixed Rasch Model to a Reading Comprehension Test: Identifying Reader Types

    Science.gov (United States)

    Baghaei, Purya; Carstensen, Claus H.

    2013-01-01

    Standard unidimensional Rasch models assume that persons with the same ability parameters are comparable. That is, the same interpretation applies to persons with identical ability estimates as regards the underlying mental processes triggered by the test. However, research in cognitive psychology shows that persons at the same trait level may…

  15. A comprehensive structural model for the human KCNQ1/KCNE1 ion channel.

    Science.gov (United States)

    Jalily Hasani, Horia; Ahmed, Marawan; Barakat, Khaled

    2017-11-01

    The voltage-gated KCNQ1/KCNE1 potassium ion channel complex, forms the slow delayed rectifier (I Ks ) current in the heart, which plays an important role in heart signaling. The importance of KCNQ1/KCNE1 channel's function is further implicated by the linkage between loss-of-function and gain-of-function mutations in KCNQ1 or KCNE1, and long QT syndromes, congenital atrial fibrillation, and short QT syndrome. Also, KCNQ1/KCNE1 channels are an off-target for many non-cardiovascular drugs, leading to fatal cardiac irregularities. One solution to address and study the mentioned aspects of KCNQ1/KNCE1 channel would be the structural studies using a validated and accurate model. Along the same line in this study, we have used several top-notch modeling approaches to build a structural model for the open state of KCNQ1 protein, which is both accurate and compatible with available experimental data. Next, we included the KCNE1 protein components using data-driven protein-protein docking simulations, encompassing a 4:2 stoichiometry to complete the picture of the channel complex formed by these two proteins. All the protein systems generated through these processes were refined by long Molecular Dynamics simulations. The refined models were analyzed extensively to infer data about the interaction of KCNQ1 channel with its accessory KCNE1 beta subunits. Copyright © 2017 Elsevier Inc. All rights reserved.

  16. Comprehensive gravitational modeling of the vertical cylindrical prism by Gauss-Legendre quadrature integration

    Science.gov (United States)

    Asgharzadeh, M. F.; Hashemi, H.; von Frese, R. RB

    2018-01-01

    Forward modeling is the basis of gravitational anomaly inversion that is widely applied to map subsurface mass variations. This study uses numerical least-squares Gauss-Legendre quadrature (GLQ) integration to evaluate the gravitational potential, anomaly and gradient components of the vertical cylindrical prism element. These results, in turn, may be integrated to accurately model the complete gravitational effects of fluid bearing rock formations and other vertical cylinder-like geological bodies with arbitrary variations in shape and density. Comparing the GLQ gravitational effects of uniform density, vertical circular cylinders against the effects calculated by a number of other methods illustrates the veracity of the GLQ modeling method and the accuracy limitations of the other methods. Geological examples include modeling the gravitational effects of a formation washout to help map azimuthal variations of the formation's bulk densities around the borehole wall. As another application, the gravitational effects of a seismically and gravimetrically imaged salt dome within the Laurentian Basin are evaluated for the velocity, density and geometric properties of the Basin's sedimentary formations.

  17. Generation of Comprehensive Surrogate Kinetic Models and Validation Databases for Simulating Large Molecular Weight Hydrocarbon Fuels

    Science.gov (United States)

    2012-10-25

    counterflow burner, a vaporization system, flow controllers, an online Fourier transform infrared ( FTIR ) spectrometer, and a laser induced fluorescence...plane Laser sheet for LIF Air Heater Heater N2 Fuel Atomization & evaporation Temperature measurements 59 vaporizing temperature, an FTIR ...amounts of indene being formed. The model simulates the fuel decay and formation of most of the intermediates accurately for all the experimental data

  18. MISTRAL: A comprehensive model for tritium transport in lithium-base ceramics. Pt. 2

    International Nuclear Information System (INIS)

    Federici, G.; Raffray, A.R.; Abdou, M.A.

    1990-01-01

    A new tritium transport model called MISTRAL (Model for Investigative Studies of Tritium Release in Lithium Ceramics) has been developed to describe and predict the kinetics of tritium release in lithium ceramic materials for tritium breeding applications in fusion blankets. The model has transient capabilities and has been developed to analyze the full range of transient conditions produced in in-pile tritium recovery experiments and expected in fusion blankets. Calibration of the model against experiments has been done in parallel with its development in order to assess its predictive capabilities and to identify the ranges of potential applicability. The comparisons of the results available for lithium metasilicate and aluminate samples irradiated respectively in the two in-pile tritium recovery experiments LISA1 and MOZART are presented and discussed in this paper. They have been selected for the calibration of the codes as being good examples of various features relevant for tritium release analysis in ceramic breeders under different transient conditions such as change in temperature, purge gas composition and reactor power. (orig.)

  19. 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...

  20. Application of support vector machine to three-dimensional shape-based virtual screening using comprehensive three-dimensional molecular shape overlay with known inhibitors.

    Science.gov (United States)

    Sato, Tomohiro; Yuki, Hitomi; Takaya, Daisuke; Sasaki, Shunta; Tanaka, Akiko; Honma, Teruki

    2012-04-23

    In this study, machine learning using support vector machine was combined with three-dimensional (3D) molecular shape overlay, to improve the screening efficiency. Since the 3D molecular shape overlay does not use fingerprints or descriptors to compare two compounds, unlike 2D similarity methods, the application of machine learning to a 3D shape-based method has not been extensively investigated. The 3D similarity profile of a compound is defined as the array of 3D shape similarities with multiple known active compounds of the target protein and is used as the explanatory variable of support vector machine. As the measures of 3D shape similarity for our new prediction models, the prediction performances of the 3D shape similarity metrics implemented in ROCS, such as ShapeTanimoto and ScaledColor, were validated, using the known inhibitors of 15 target proteins derived from the ChEMBL database. The learning models based on the 3D similarity profiles stably outperformed the original ROCS when more than 10 known inhibitors were available as the queries. The results demonstrated the advantages of combining machine learning with the 3D similarity profile to process the 3D shape information of plural active compounds.