Sample records for modeling program acmp

  1. The Arctic Climate Modeling Program: K-12 Geoscience Professional Development for Rural Educators (United States)

    Bertram, K. B.


    Helping teachers and students connect with scientists is the heart of the Arctic Climate Modeling Program (ACMP), funded from 2005-09 by the National Science Foundation’s Innovative Technology Experience for Students and Teachers. ACMP offered progressive yearlong science, technology and math (STM) professional development that prepared teachers to train youth in workforce technologies used in Arctic research. ACMP was created for the Bering Strait School District, a geographically isolated area with low standardized test scores, high dropout rates, and poverty. Scientists from around the globe have converged in this region and other areas of the Arctic to observe and measure changes in climate that are significant, accelerating, and unlike any in recorded history. Climate literacy (the ability to understand Earth system science and to make scientifically informed decisions about climate changes) has become essential for this population. Program resources were designed in collaboration with scientists to mimic the processes used to study Arctic climate. Because the Bering Strait School District serves a 98 percent Alaska Native student population, ACMP focused on best practices shown to increase the success of minority students. Significant research indicates that Alaska Native students succeed academically at higher rates when instruction addresses topics of local interest, links education to the students’ physical and cultural environment, uses local knowledge and culture in the curriculum, and incorporates hands-on, inquiry-based lessons in the classroom. A seven-partner consortium of research institutes and Alaska Native corporations created ACMP to help teachers understand their role in nurturing STM talent and motivating students to explore geoscience careers. Research underscores the importance of increasing school emphasis in content areas, such as climate, that facilitate global awareness and civic responsibility, and that foster critical thinking and

  2. Programming Models in HPC

    Energy Technology Data Exchange (ETDEWEB)

    Shipman, Galen M. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)


    These are the slides for a presentation on programming models in HPC, at the Los Alamos National Laboratory's Parallel Computing Summer School. The following topics are covered: Flynn's Taxonomy of computer architectures; single instruction single data; single instruction multiple data; multiple instruction multiple data; address space organization; definition of Trinity (Intel Xeon-Phi is a MIMD architecture); single program multiple data; multiple program multiple data; ExMatEx workflow overview; definition of a programming model, programming languages, runtime systems; programming model and environments; MPI (Message Passing Interface); OpenMP; Kokkos (Performance Portable Thread-Parallel Programming Model); Kokkos abstractions, patterns, policies, and spaces; RAJA, a systematic approach to node-level portability and tuning; overview of the Legion Programming Model; mapping tasks and data to hardware resources; interoperability: supporting task-level models; Legion S3D execution and performance details; workflow, integration of external resources into the programming model.

  3. Modeling EERE deployment programs

    Energy Technology Data Exchange (ETDEWEB)

    Cort, K. A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hostick, D. J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Belzer, D. B. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Livingston, O. V. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)


    The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address possible improvements to the modeling process, and note gaps in knowledge for future research.

  4. Modeling EERE Deployment Programs

    Energy Technology Data Exchange (ETDEWEB)

    Cort, K. A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hostick, D. J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Belzer, D. B. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Livingston, O. V. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)


    This report compiles information and conclusions gathered as part of the “Modeling EERE Deployment Programs” project. The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address possible improvements to the modeling process, and note gaps in knowledge in which future research is needed.

  5. Los Alamos Programming Models

    Energy Technology Data Exchange (ETDEWEB)

    Bergen, Benjamin Karl [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)


    This is the PDF of a powerpoint presentation from a teleconference on Los Alamos programming models. It starts by listing their assumptions for the programming models and then details a hierarchical programming model at the System Level and Node Level. Then it details how to map this to their internal nomenclature. Finally, a list is given of what they are currently doing in this regard.

  6. Modeling EERE Deployment Programs

    Energy Technology Data Exchange (ETDEWEB)

    Cort, Katherine A.; Hostick, Donna J.; Belzer, David B.; Livingston, Olga V.


    The purpose of this report is to compile information and conclusions gathered as part of three separate tasks undertaken as part of the overall project, “Modeling EERE Deployment Programs,” sponsored by the Planning, Analysis, and Evaluation office within the Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE). The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address improvements to modeling in the near term, and note gaps in knowledge where future research is needed.

  7. Introducing Program Evaluation Models

    Directory of Open Access Journals (Sweden)

    Raluca GÂRBOAN


    Full Text Available Programs and project evaluation models can be extremely useful in project planning and management. The aim is to set the right questions as soon as possible in order to see in time and deal with the unwanted program effects, as well as to encourage the positive elements of the project impact. In short, different evaluation models are used in order to minimize losses and maximize the benefits of the interventions upon small or large social groups. This article introduces some of the most recently used evaluation models.

  8. Model Program Evaluations. Fact Sheet (United States)

    Arkansas Safe Schools Initiative Division, 2002


    There are probably thousands of programs and courses intended to prevent or reduce violence in this nation's schools. Evaluating these many programs has become a problem or goal in itself. There are now many evaluation programs, with many levels of designations, such as model, promising, best practice, exemplary and noteworthy. "Model program" is…

  9. Program Analysis as Model Checking

    DEFF Research Database (Denmark)

    Olesen, Mads Chr.

    and abstract interpretation. Model checking views the program as a finite automaton and tries to prove logical properties over the automaton model, or present a counter-example if not possible — with a focus on precision. Abstract interpretation translates the program semantics into abstract semantics...... are considered, among others numerical analysis of c programs, and worst-case execution time analysis of ARM programs. It is shown how lattice automata allow automatic and manual tuning of the precision and efficiency of the verification procedure. In the case of worst-case execution time analysis a sound......Software programs are proliferating throughout modern life, to a point where even the simplest appliances such as lightbulbs contain software, in addition to the software embedded in cars and airplanes. The correct functioning of these programs is therefore of the utmost importance, for the quality...

  10. Dynamic programming models and applications

    CERN Document Server

    Denardo, Eric V


    Introduction to sequential decision processes covers use of dynamic programming in studying models of resource allocation, methods for approximating solutions of control problems in continuous time, production control, more. 1982 edition.

  11. A ''model'' geophysics program

    International Nuclear Information System (INIS)

    Nyquist, J.E.


    In 1993, I tested a radio-controlled airplane designed by Jim Walker of Brigham Young University for low-elevation aerial photography. Model-air photography retains most of the advantages of standard aerial photography --- the photographs can be used to detect lineaments, to map roads and buildings, and to construct stereo pairs to measure topography --- and it is far less expensive. Proven applications on the Oak Ridge Reservation include: updating older aerial records to document new construction; using repeated overflights of the same area to capture seasonal changes in vegetation and the effects of major storms; and detecting waste trench boundaries from the color and character of the overlying grass. Aerial photography is only one of many possible applications of radio-controlled aircraft. Currently, I am funded by the Department of Energy's Office of Technology Development to review the state of the art in microavionics, both military and civilian, to determine ways this emerging technology can be used for environmental site characterization. Being particularly interested in geophysical applications, I am also collaborating with electrical engineers at Oak Ridge National Laboratory to design a model plane that will carry a 3-component flux-gate magnetometer and a global positioning system, which I hope to test in the spring of 1994

  12. Model Checker for Java Programs (United States)

    Visser, Willem


    Java Pathfinder (JPF) is a verification and testing environment for Java that integrates model checking, program analysis, and testing. JPF consists of a custom-made Java Virtual Machine (JVM) that interprets bytecode, combined with a search interface to allow the complete behavior of a Java program to be analyzed, including interleavings of concurrent programs. JPF is implemented in Java, and its architecture is highly modular to support rapid prototyping of new features. JPF is an explicit-state model checker, because it enumerates all visited states and, therefore, suffers from the state-explosion problem inherent in analyzing large programs. It is suited to analyzing programs less than 10kLOC, but has been successfully applied to finding errors in concurrent programs up to 100kLOC. When an error is found, a trace from the initial state to the error is produced to guide the debugging. JPF works at the bytecode level, meaning that all of Java can be model-checked. By default, the software checks for all runtime errors (uncaught exceptions), assertions violations (supports Java s assert), and deadlocks. JPF uses garbage collection and symmetry reductions of the heap during model checking to reduce state-explosion, as well as dynamic partial order reductions to lower the number of interleavings analyzed. JPF is capable of symbolic execution of Java programs, including symbolic execution of complex data such as linked lists and trees. JPF is extensible as it allows for the creation of listeners that can subscribe to events during searches. The creation of dedicated code to be executed in place of regular classes is supported and allows users to easily handle native calls and to improve the efficiency of the analysis.

  13. Interactive differential equations modeling program

    International Nuclear Information System (INIS)

    Rust, B.W.; Mankin, J.B.


    Due to the recent emphasis on mathematical modeling, many ecologists are using mathematics and computers more than ever, and engineers, mathematicians and physical scientists are now included in ecological projects. However, the individual ecologist, with intuitive knowledge of the system, still requires the means to critically examine and adjust system models. An interactive program was developed with the primary goal of allowing an ecologist with minimal experience in either mathematics or computers to develop a system model. It has also been used successfully by systems ecologists, engineers, and mathematicians. This program was written in FORTRAN for the DEC PDP-10, a remote terminal system at Oak Ridge National Laboratory. However, with relatively minor modifications, it can be implemented on any remote terminal system with a FORTRAN IV compiler, or equivalent. This program may be used to simulate any phenomenon which can be described as a system of ordinary differential equations. The program allows the user to interactively change system parameters and/or initial conditions, to interactively select a set of variables to be plotted, and to model discontinuities in the state variables and/or their derivatives. One of the most useful features to the non-computer specialist is the ability to interactively address the system parameters by name and to interactively adjust their values between simulations. These and other features are described in greater detail

  14. Conceptual Modeling via Logic Programming (United States)


    CONCEPTUAL MODELING VIA LOGIC PROGRAMaNG 12. PERSONAL AUTHOR(S) John Burge, Bill Noah, Las Smith 13a. TYPE OF REPORT 13b. TIME COVERED 14. DATE OF...interpreter and named it Prolog for middle. He found that his program got into an "Programmation en logique ." It provided the infinite loop unless he used... lA N C I WA v Cruse Mle Submartine 44 0 0 0 0 0835 I 9 33 ICC 33 High F.e cruise Misaile 640 0 8S S44 0 0 High Post cruise missile 840 2 7S 440 too

  15. A Unified Approach to Modeling and Programming

    DEFF Research Database (Denmark)

    Madsen, Ole Lehrmann; Møller-Pedersen, Birger


    of this paper is to go back to the future and get inspiration from SIMULA and propose a unied approach. In addition to reintroducing the contributions of SIMULA and the Scandinavian approach to object-oriented programming, we do this by discussing a number of issues in modeling and programming and argue3 why we......SIMULA was a language for modeling and programming and provided a unied approach to modeling and programming in contrast to methodologies based on structured analysis and design. The current development seems to be going in the direction of separation of modeling and programming. The goal...

  16. A Type Graph Model for Java Programs

    NARCIS (Netherlands)

    Rensink, Arend; Zambon, Eduardo


    In this report we present a type graph that models all executable constructs of the Java programming language. Such a model is useful for any graph-based technique that relies on a representation of Java programs as graphs. The model can be regarded as a common representation to which all Java

  17. A Type Graph Model for Java Programs

    NARCIS (Netherlands)

    Rensink, Arend; Zambon, Eduardo; Lee, D.; Lopes, A.; Poetzsch-Heffter, A.


    In this work we present a type graph that models all executable constructs of the Java programming language. Such a model is useful for any graph-based technique that relies on a representation of Java programs as graphs. The model can be regarded as a common representation to which all Java syntax

  18. Educational Program Evaluation Using CIPP Model


    Warju, Warju


    There are many models of evaluation that can be used to evaluate a program. However, the most commonly used is the context, input, process, output (CIPP) evaluation models. CIPP evaluation model developed by Stufflebeam and Shinkfield in 1985. The evaluation context is used to give a rational reason a selected program or curriculum to be implemented. A wide scale, context can be evaluated on: the program's objectives, policies that support the vision and mission of the institution, the releva...

  19. Building Program Models Incrementally from Informal Descriptions. (United States)


    AD-AOB6 50 STANFORD UNIV CA DEPT OF COMPUTER SCIENCE F/G 9/2 BUILDING PROGRAM MODELS INCREMENTALLY FROM INFORMAL DESCRIPTION--ETC(U) OCT 79 B P...port SCI.ICS.U.79.2 t Building Program Models Incrementally from Informal Descriptions by Brian P. McCune Research sponsored by Defense Advanced...TYPE OF REPORT & PERIOD COVERED Building Program Models Incrementally from Informal Descriptions. , technical, October 1979 6. PERFORMING ORG

  20. Petrogenetic Modeling with a Spreadsheet Program. (United States)

    Holm, Paul Eric


    Describes how interactive programs for scientific modeling may be created by using spreadsheet software such as LOTUS 1-2-3. Lists the advantages of using this method. Discusses fractional distillation, batch partial melting, and combination models as examples. (CW)

  1. Applied Integer Programming Modeling and Solution

    CERN Document Server

    Chen, Der-San; Dang, Yu


    An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications and software In order to fully comprehend the algorithms associated with integer programming, it is important to understand not only how algorithms work, but also why they work. Applied Integer Programming features a unique emphasis on this point, focusing on problem modeling and solution using commercial software. Taking an application-oriented approach, this book addresses the art and science of mathematical modeling related to the mixed integer programming (MIP) framework and

  2. Model Checking JAVA Programs Using Java Pathfinder (United States)

    Havelund, Klaus; Pressburger, Thomas


    This paper describes a translator called JAVA PATHFINDER from JAVA to PROMELA, the "programming language" of the SPIN model checker. The purpose is to establish a framework for verification and debugging of JAVA programs based on model checking. This work should be seen in a broader attempt to make formal methods applicable "in the loop" of programming within NASA's areas such as space, aviation, and robotics. Our main goal is to create automated formal methods such that programmers themselves can apply these in their daily work (in the loop) without the need for specialists to manually reformulate a program into a different notation in order to analyze the program. This work is a continuation of an effort to formally verify, using SPIN, a multi-threaded operating system programmed in Lisp for the Deep-Space 1 spacecraft, and of previous work in applying existing model checkers and theorem provers to real applications.

  3. Mental Models and Programming Aptitude

    DEFF Research Database (Denmark)

    Caspersen, Michael Edelgaard; Bennedsen, Jens; Larsen, Kasper Dalgaard


    Predicting the success of students participating in introductory programming courses has been an active research area for more than 25 years. Until recently, no variables or tests have had any significant predictive power. However, Dehnadi and Bornat claim to have found a simple test for programm...

  4. Language Teaching Models in Teacher Training Programs


    Aslan, Alper


    Any language teacher who has gone through some kind of training program for the teaching of English should be familiar with various specific language teaching models that constitute the core of the training process. A language teaching model is a guide that helps the trainee to sequence the activities designed for the expectations and needs of learners in a lesson. This paper reviews the common language teaching models in teacher training programs (PPP, OHE, III, TTT, TBLT, ESA, ARC) and disc...

  5. Measurement control program at model facility

    International Nuclear Information System (INIS)

    Schneider, R.A.


    A measurement control program for the model plant is described. The discussion includes the technical basis for such a program, the application of measurement control principles to each measurement, and the use of special experiments to estimate measurement error parameters for difficult-to-measure materials. The discussion also describes the statistical aspects of the program, and the documentation procedures used to record, maintain, and process the basic data

  6. Integer Programming Models for Sales Resource Allocation


    Andris A. Zoltners; Prabhakant Sinha


    A practical conceptual framework for sales resource allocation modeling is presented in this paper. A literature review of sales resource allocation models is described in terms of this framework. The conceptual framework also lends itself to several integer programming models which may be used to address the variety of sales resource allocation decisions faced by every sales organization. A general model for sales resource allocation is developed which incorporates multiple sales resources, ...

  7. Academic program models for undergraduate biomedical engineering. (United States)

    Krishnan, Shankar M


    There is a proliferation of medical devices across the globe for the diagnosis and therapy of diseases. Biomedical engineering (BME) plays a significant role in healthcare and advancing medical technologies thus creating a substantial demand for biomedical engineers at undergraduate and graduate levels. There has been a surge in undergraduate programs due to increasing demands from the biomedical industries to cover many of their segments from bench to bedside. With the requirement of multidisciplinary training within allottable duration, it is indeed a challenge to design a comprehensive standardized undergraduate BME program to suit the needs of educators across the globe. This paper's objective is to describe three major models of undergraduate BME programs and their curricular requirements, with relevant recommendations to be applicable in institutions of higher education located in varied resource settings. Model 1 is based on programs to be offered in large research-intensive universities with multiple focus areas. The focus areas depend on the institution's research expertise and training mission. Model 2 has basic segments similar to those of Model 1, but the focus areas are limited due to resource constraints. In this model, co-op/internship in hospitals or medical companies is included which prepares the graduates for the work place. In Model 3, students are trained to earn an Associate Degree in the initial two years and they are trained for two more years to be BME's or BME Technologists. This model is well suited for the resource-poor countries. All three models must be designed to meet applicable accreditation requirements. The challenges in designing undergraduate BME programs include manpower, facility and funding resource requirements and time constraints. Each academic institution has to carefully analyze its short term and long term requirements. In conclusion, three models for BME programs are described based on large universities, colleges, and

  8. Logic integer programming models for signaling networks. (United States)

    Haus, Utz-Uwe; Niermann, Kathrin; Truemper, Klaus; Weismantel, Robert


    We propose a static and a dynamic approach to model biological signaling networks, and show how each can be used to answer relevant biological questions. For this, we use the two different mathematical tools of Propositional Logic and Integer Programming. The power of discrete mathematics for handling qualitative as well as quantitative data has so far not been exploited in molecular biology, which is mostly driven by experimental research, relying on first-order or statistical models. The arising logic statements and integer programs are analyzed and can be solved with standard software. For a restricted class of problems the logic models reduce to a polynomial-time solvable satisfiability algorithm. Additionally, a more dynamic model enables enumeration of possible time resolutions in poly-logarithmic time. Computational experiments are included.

  9. Description of mathematical models and computer programs

    International Nuclear Information System (INIS)


    The paper gives a description of mathematical models and computer programs for analysing possible strategies for spent fuel management, with emphasis on economic analysis. The computer programs developed, describe the material flows, facility construction schedules, capital investment schedules and operating costs for the facilities used in managing the spent fuel. The computer programs use a combination of simulation and optimization procedures for the economic analyses. Many of the fuel cycle steps (such as spent fuel discharges, storage at the reactor, and transport to the RFCC) are described in physical and economic terms through simulation modeling, while others (such as reprocessing plant size and commissioning schedules, interim storage facility commissioning schedules etc.) are subjected to economic optimization procedures to determine the approximate lowest-cost plans from among the available feasible alternatives

  10. Equivalence Problem Solvability in Biparametric Gateway Program Models

    Directory of Open Access Journals (Sweden)

    A. E. Molchanov


    Full Text Available Algebraic program models with procedures are designed to analyze program semantic properties on their models called program schemes. Procedural liberisation problem and equivalence problem are stated for program models with procedures in which both defining parameters are chosen independently. Program models with procedures built over a given program model without procedures are investigated. Algorithms for both stated tasks are proposed for models where an additional restriction is applied: the intersection emptiness problem is solvable in the program model without procedures. Polynomial estimates for the complexity of the algorithms are shown. Some topics for further investigation are proposed.

  11. PDDP, A Data Parallel Programming Model

    Directory of Open Access Journals (Sweden)

    Karen H. Warren


    Full Text Available PDDP, the parallel data distribution preprocessor, is a data parallel programming model for distributed memory parallel computers. PDDP implements high-performance Fortran-compatible data distribution directives and parallelism expressed by the use of Fortran 90 array syntax, the FORALL statement, and the WHERE construct. Distributed data objects belong to a global name space; other data objects are treated as local and replicated on each processor. PDDP allows the user to program in a shared memory style and generates codes that are portable to a variety of parallel machines. For interprocessor communication, PDDP uses the fastest communication primitives on each platform.

  12. ZATPAC: a model consortium evaluates teen programs. (United States)

    Owen, Kathryn; Murphy, Dana; Parsons, Chris


    How do we advance the environmental literacy of young people, support the next generation of environmental stewards and increase the diversity of the leadership of zoos and aquariums? We believe it is through ongoing evaluation of zoo and aquarium teen programming and have founded a consortium to pursue those goals. The Zoo and Aquarium Teen Program Assessment Consortium (ZATPAC) is an initiative by six of the nation's leading zoos and aquariums to strengthen institutional evaluation capacity, model a collaborative approach toward assessing the impact of youth programs, and bring additional rigor to evaluation efforts within the field of informal science education. Since its beginning in 2004, ZATPAC has researched, developed, pilot-tested and implemented a pre-post program survey instrument designed to assess teens' knowledge of environmental issues, skills and abilities to take conservation actions, self-efficacy in environmental actions, and engagement in environmentally responsible behaviors. Findings from this survey indicate that teens who join zoo/aquarium programs are already actively engaged in many conservation behaviors. After participating in the programs, teens showed a statistically significant increase in their reported knowledge of conservation and environmental issues and their abilities to research, explain, and find resources to take action on conservation issues of personal concern. Teens also showed statistically significant increases pre-program to post-program for various conservation behaviors, including "I talk with my family and/or friends about things they can do to help the animals or the environment," "I save water...," "I save energy...," "When I am shopping I look for recycled products," and "I help with projects that restore wildlife habitat."

  13. Database structure for plasma modeling programs

    International Nuclear Information System (INIS)

    Dufresne, M.; Silvester, P.P.


    Continuum plasma models often use a finite element (FE) formulation. Another approach is simulation models based on particle-in-cell (PIC) formulation. The model equations generally include four nonlinear differential equations specifying the plasma parameters. In simulation a large number of equations must be integrated iteratively to determine the plasma evolution from an initial state. The complexity of the resulting programs is a combination of the physics involved and the numerical method used. The data structure requirements of plasma programs are stated by defining suitable abstract data types. These abstractions are then reduced to data structures and a group of associated algorithms. These are implemented in an object oriented language (C++) as object classes. Base classes encapsulate data management into a group of common functions such as input-output management, instance variable updating and selection of objects by Boolean operations on their instance variables. Operations are thereby isolated from specific element types and uniformity of treatment is guaranteed. Creation of the data structures and associated functions for a particular plasma model is reduced merely to defining the finite element matrices for each equation, or the equations of motion for PIC models. Changes in numerical method or equation alterations are readily accommodated through the mechanism of inheritance, without modification of the data management software. The central data type is an n-relation implemented as a tuple of variable internal structure. Any finite element program may be described in terms of five relational tables: nodes, boundary conditions, sources, material/particle descriptions, and elements. Equivalently, plasma simulation programs may be described using four relational tables: cells, boundary conditions, sources, and particle descriptions

  14. Transnational nursing programs: models, advantages and challenges. (United States)

    Wilson, Michael


    Conducting transnational programs can be a very rewarding activity for a School, Faculty or University. Apart from increasing the profile of the university, the conduct of transnational programs can also provide the university with openings for business opportunities, consultative activities, and collaborative research. It can also be a costly exercise placing an enormous strain on limited resources with little reward for the provider. Transnational ventures can become nonviable entities in a very short period of time due to unanticipated global economic trends. Transnational courses offered by Faculties of Business and Computing are commonplace, however, there is a growing number of health science programs, particularly nursing that are being offered transnational. This paper plans an overview of several models employed for the delivery of transnational nursing courses and discusses several key issues pertaining to conducting courses outside the host university's country.

  15. The NIAID Radiation Countermeasures Program business model. (United States)

    Hafer, Nathaniel; Maidment, Bert W; Hatchett, Richard J


    The National Institute of Allergy and Infectious Diseases (NIAID) Radiation/Nuclear Medical Countermeasures Development Program has developed an integrated approach to providing the resources and expertise required for the research, discovery, and development of radiation/nuclear medical countermeasures (MCMs). These resources and services lower the opportunity costs and reduce the barriers to entry for companies interested in working in this area and accelerate translational progress by providing goal-oriented stewardship of promising projects. In many ways, the radiation countermeasures program functions as a "virtual pharmaceutical firm," coordinating the early and mid-stage development of a wide array of radiation/nuclear MCMs. This commentary describes the radiation countermeasures program and discusses a novel business model that has facilitated product development partnerships between the federal government and academic investigators and biopharmaceutical companies.

  16. Stellar Atmospheric Modelling for the ACCESS Program (United States)

    Morris, Matthew; Kaiser, Mary Elizabeth; Bohlin, Ralph; Kurucz, Robert; ACCESS Team


    A goal of the ACCESS program (Absolute Color Calibration Experiment for Standard Stars) is to enable greater discrimination between theoretical astrophysical models and observations, where the comparison is limited by systematic errors associated with the relative flux calibration of the targets. To achieve these goals, ACCESS has been designed as a sub-orbital rocket borne payload and ground calibration program, to establish absolute flux calibration of stellar targets at high resolution spectra in addition to the HST/CALSPEC data, we have generated stellar atmosphere models for ACCESS flight candidates, as well as a selection of A and G stars from the CALSPEC database. Stellar atmosphere models were generated using Atlas 9 and Atlas 12 Kurucz stellar atmosphere software. The effective temperature, log(g), metallicity, and redenning were varied and the chi-squared statistic was minimized to obtain a best-fit model. A comparison of these models and the results from interpolation between grids of existing models will be presented. The impact of the flexibility of the Atlas 12 input parameters (e.g. solar metallicity fraction, abundances, microturbulent velocity) is being explored.

  17. Model for behavior observation training programs

    International Nuclear Information System (INIS)

    Berghausen, P.E. Jr.


    Continued behavior observation is mandated by ANSI/ANS 3.3. This paper presents a model for behavior observation training that is in accordance with this standard and the recommendations contained in US NRC publications. The model includes seventeen major topics or activities. Ten of these are discussed: Pretesting of supervisor's knowledge of behavior observation requirements, explanation of the goals of behavior observation programs, why behavior observation training programs are needed (legal and psychological issues), early indicators of emotional instability, use of videotaped interviews to demonstrate significant psychopathology, practice recording behaviors, what to do when unusual behaviors are observed, supervisor rationalizations for noncompliance, when to be especially vigilant, and prevention of emotional instability

  18. Generalized data stacking programming model with applications


    Hala Samir Elhadidy; Rawya Yehia Rizk; Hassen Taher Dorrah


    Recent researches have shown that, everywhere in various sciences the systems are following stacked-based stored change behavior when subjected to events or varying environments “on and above” their normal situations. This paper presents a generalized data stack programming (GDSP) model which is developed to describe the system changes under varying environment. These changes which are captured with different ways such as sensor reading are stored in matrices. Extraction algorithm and identif...

  19. Can Household Benefit from Stochastic Programming Models?

    DEFF Research Database (Denmark)

    Rasmussen, Kourosh Marjani; Madsen, Claus A.; Poulsen, Rolf


    The Danish mortgage market is large and sophisticated. However, most Danish mortgage banks advise private home-owners based on simple, if sensible, rules of thumb. In recent years a number of papers (from Nielsen and Poulsen in J Econ Dyn Control 28:1267–1289, 2004 over Rasmussen and Zenios in J...... Risk 10:1–18, 2007 to Pedersen et al. in Ann Oper Res, 2013) have suggested a model-based, stochastic programming approach to mortgage choice. This paper gives an empirical comparison of performance over the period 2000–2010 of the rules of thumb to the model-based strategies. While the rules of thumb...

  20. Genetic Programming for Automatic Hydrological Modelling (United States)

    Chadalawada, Jayashree; Babovic, Vladan


    One of the recent challenges for the hydrologic research community is the need for the development of coupled systems that involves the integration of hydrologic, atmospheric and socio-economic relationships. This poses a requirement for novel modelling frameworks that can accurately represent complex systems, given, the limited understanding of underlying processes, increasing volume of data and high levels of uncertainity. Each of the existing hydrological models vary in terms of conceptualization and process representation and is the best suited to capture the environmental dynamics of a particular hydrological system. Data driven approaches can be used in the integration of alternative process hypotheses in order to achieve a unified theory at catchment scale. The key steps in the implementation of integrated modelling framework that is influenced by prior understanding and data, include, choice of the technique for the induction of knowledge from data, identification of alternative structural hypotheses, definition of rules, constraints for meaningful, intelligent combination of model component hypotheses and definition of evaluation metrics. This study aims at defining a Genetic Programming based modelling framework that test different conceptual model constructs based on wide range of objective functions and evolves accurate and parsimonious models that capture dominant hydrological processes at catchment scale. In this paper, GP initializes the evolutionary process using the modelling decisions inspired from the Superflex framework [Fenicia et al., 2011] and automatically combines them into model structures that are scrutinized against observed data using statistical, hydrological and flow duration curve based performance metrics. The collaboration between data driven and physical, conceptual modelling paradigms improves the ability to model and manage hydrologic systems. Fenicia, F., D. Kavetski, and H. H. Savenije (2011), Elements of a flexible approach

  1. Python Program to Select HII Region Models (United States)

    Miller, Clare; Lamarche, Cody; Vishwas, Amit; Stacey, Gordon J.


    HII regions are areas of singly ionized Hydrogen formed by the ionizing radiaiton of upper main sequence stars. The infrared fine-structure line emissions, particularly Oxygen, Nitrogen, and Neon, can give important information about HII regions including gas temperature and density, elemental abundances, and the effective temperature of the stars that form them. The processes involved in calculating this information from observational data are complex. Models, such as those provided in Rubin 1984 and those produced by Cloudy (Ferland et al, 2013) enable one to extract physical parameters from observational data. However, the multitude of search parameters can make sifting through models tedious. I digitized Rubin's models and wrote a Python program that is able to take observed line ratios and their uncertainties and find the Rubin or Cloudy model that best matches the observational data. By creating a Python script that is user friendly and able to quickly sort through models with a high level of accuracy, this work increases efficiency and reduces human error in matching HII region models to observational data.

  2. Unified Program Design: Organizing Existing Programming Models, Delivery Options, and Curriculum (United States)

    Rubenstein, Lisa DaVia; Ridgley, Lisa M.


    A persistent problem in the field of gifted education has been the lack of categorization and delineation of gifted programming options. To address this issue, we propose Unified Program Design as a structural framework for gifted program models. This framework defines gifted programs as the combination of delivery methods and curriculum models.…

  3. Program Partitioning using Dynamic Trust Models

    DEFF Research Database (Denmark)

    Søndergaard, Dan; Probst, Christian W.; Jensen, Christian D.


    Developing distributed applications is a difficult task. It is further complicated if system-wide security policies shall be specified and enforced, or if both data and hosts are owned by principals that do not fully trust each other, as is typically the case in service-oriented or grid-based sce......Developing distributed applications is a difficult task. It is further complicated if system-wide security policies shall be specified and enforced, or if both data and hosts are owned by principals that do not fully trust each other, as is typically the case in service-oriented or grid......-based scenarios. Language-based technologies have been suggested to support developers of those applications---the \\$\\backslash\\$emph{Decentralized Label Model} and \\$\\backslash\\$emph{Secure Program Partitioning} allow to annotate programs with security specifications, and to partition the annotated program...... across a set of hosts, obeying both the annotations and the trust relation between the principals. The resulting applications guarantee \\$\\backslash\\$emph{by construction} that safety and confidentiality of both data and computations are ensured. In this work, we develop a generalised version...

  4. Stochastic linear programming models, theory, and computation

    CERN Document Server

    Kall, Peter


    This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC’s and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup. To facilitate use as a text, exercises are included throughout the book, and web access is provided to a student version of the authors’ SLP-IOR software. Additionally, the authors have updated the Guide to Available Software, and they have included newer algorithms and modeling systems for SLP. The book is thus suitable as a text for advanced courses in stochastic optimization, and as a reference to the field. From Reviews of the First Edition: "The book presents a comprehensive study of stochastic linear optimization problems and their applications. … T...

  5. Toward Continuous Program Improvement: Using a Logic Model for Professional Development School Program Evaluation (United States)

    He, Ye; Rohr, Jean; Miller, Samuel D.; Levin, Barbara B.; Mercier, Susan


    The purpose of this study was to develop a model for evaluating a professional development school program to enact an evidence-based model for a continuous cycle of program improvement. Guided by the logic model for program evaluation, we developed three survey instruments based on the professional development school standards of the National…

  6. Human factors engineering program review model

    International Nuclear Information System (INIS)


    The staff of the Nuclear Regulatory Commission is performing nuclear power plant design certification reviews based on a design process plan that describes the human factors engineering (HFE) program elements that are necessary and sufficient to develop an acceptable detailed design specification and an acceptable implemented design. There are two principal reasons for this approach. First, the initial design certification applications submitted for staff review did not include detailed design information. Second, since human performance literature and industry experiences have shown that many significant human factors issues arise early in the design process, review of the design process activities and results is important to the evaluation of an overall design. However, current regulations and guidance documents do not address the criteria for design process review. Therefore, the HFE Program Review Model (HFE PRM) was developed as a basis for performing design certification reviews that include design process evaluations as well as review of the final design. A central tenet of the HFE PRM is that the HFE aspects of the plant should be developed, designed, and evaluated on the basis of a structured top-down system analysis using accepted HFE principles. The HFE PRM consists of ten component elements. Each element in divided into four sections: Background, Objective, Applicant Submittals, and Review Criteria. This report describes the development of the HFE PRM and gives a detailed description of each HFE review element

  7. Human factors engineering program review model

    Energy Technology Data Exchange (ETDEWEB)


    The staff of the Nuclear Regulatory Commission is performing nuclear power plant design certification reviews based on a design process plan that describes the human factors engineering (HFE) program elements that are necessary and sufficient to develop an acceptable detailed design specification and an acceptable implemented design. There are two principal reasons for this approach. First, the initial design certification applications submitted for staff review did not include detailed design information. Second, since human performance literature and industry experiences have shown that many significant human factors issues arise early in the design process, review of the design process activities and results is important to the evaluation of an overall design. However, current regulations and guidance documents do not address the criteria for design process review. Therefore, the HFE Program Review Model (HFE PRM) was developed as a basis for performing design certification reviews that include design process evaluations as well as review of the final design. A central tenet of the HFE PRM is that the HFE aspects of the plant should be developed, designed, and evaluated on the basis of a structured top-down system analysis using accepted HFE principles. The HFE PRM consists of ten component elements. Each element in divided into four sections: Background, Objective, Applicant Submittals, and Review Criteria. This report describes the development of the HFE PRM and gives a detailed description of each HFE review element.

  8. Neural Network Program Package for Prosody Modeling

    Directory of Open Access Journals (Sweden)

    J. Santarius


    Full Text Available This contribution describes the programme for one part of theautomatic Text-to-Speech (TTS synthesis. Some experiments (for example[14] documented the considerable improvement of the naturalness ofsynthetic speech, but this approach requires completing the inputfeature values by hand. This completing takes a lot of time for bigfiles. We need to improve the prosody by other approaches which useonly automatically classified features (input parameters. Theartificial neural network (ANN approach is used for the modeling ofprosody parameters. The program package contains all modules necessaryfor the text and speech signal pre-processing, neural network training,sensitivity analysis, result processing and a module for the creationof the input data protocol for Czech speech synthesizer ARTIC [1].

  9. Teaching model of problem solving Programming Fundamentals

    Directory of Open Access Journals (Sweden)

    Iván Darwin Tutillo-Arcentales


    Full Text Available The formation process has been studied by several authors in those last years, although not always focusing in the technology careers which requires of a pedagogical and didactic point of view, which promotes behaviouring changes in the teachers with impact in the quality of graduates. The purposes of this paper is: to value the pedagogical fundamentals of the formation in the career Analysis of systems,in order to promote qualitative and quantitative improvements  in the students learning. The questioner applied to students and teachers proved the difficulties in the contents related to the algorithmic procedures, which constitutes a necessary content in their formation and to them contributes other syllabus of the first level. So it is necessary to model a theoretical construction which express the new relationships established from the psychological and didactic point of view in order to solving those situations from the programing.

  10. Generalized data stacking programming model with applications

    Directory of Open Access Journals (Sweden)

    Hala Samir Elhadidy


    Full Text Available Recent researches have shown that, everywhere in various sciences the systems are following stacked-based stored change behavior when subjected to events or varying environments “on and above” their normal situations. This paper presents a generalized data stack programming (GDSP model which is developed to describe the system changes under varying environment. These changes which are captured with different ways such as sensor reading are stored in matrices. Extraction algorithm and identification technique are proposed to extract the different layers between images and identify the stack class the object follows; respectively. The general multi-stacking network is presented including the interaction between various stack-based layering of some applications. The experiments prove that the concept of stack matrix gives average accuracy of 99.45%.

  11. Modeling Weather Impact on Ground Delay Programs (United States)

    Wang, Yao; Kulkarni, Deepak


    Scheduled arriving aircraft demand may exceed airport arrival capacity when there is abnormal weather at an airport. In such situations, Federal Aviation Administration (FAA) institutes ground-delay programs (GDP) to delay flights before they depart from their originating airports. Efficient GDP planning depends on the accuracy of prediction of airport capacity and demand in the presence of uncertainties in weather forecast. This paper presents a study of the impact of dynamic airport surface weather on GDPs. Using the National Traffic Management Log, effect of weather conditions on the characteristics of GDP events at selected busy airports is investigated. Two machine learning methods are used to generate models that map the airport operational conditions and weather information to issued GDP parameters and results of validation tests are described.

  12. The Use of Molecular Modeling Programs in Medicinal Chemistry Instruction. (United States)

    Harrold, Marc W.


    This paper describes and evaluates the use of a molecular modeling computer program (Alchemy II) in a pharmaceutical education program. Provided are the hardware requirements and basic program features as well as several examples of how this program and its features have been applied in the classroom. (GLR)

  13. A Component-based Programming Model for Composite, Distributed Applications (United States)

    Eidson, Thomas M.; Bushnell, Dennis M. (Technical Monitor)


    The nature of scientific programming is evolving to larger, composite applications that are composed of smaller element applications. These composite applications are more frequently being targeted for distributed, heterogeneous networks of computers. They are most likely programmed by a group of developers. Software component technology and computational frameworks are being proposed and developed to meet the programming requirements of these new applications. Historically, programming systems have had a hard time being accepted by the scientific programming community. In this paper, a programming model is outlined that attempts to organize the software component concepts and fundamental programming entities into programming abstractions that will be better understood by the application developers. The programming model is designed to support computational frameworks that manage many of the tedious programming details, but also that allow sufficient programmer control to design an accurate, high-performance application.

  14. Automation of program model developing for complex structure control objects

    International Nuclear Information System (INIS)

    Ivanov, A.P.; Sizova, T.B.; Mikhejkina, N.D.; Sankovskij, G.A.; Tyufyagin, A.N.


    A brief description of software for automated developing the models of integrating modular programming system, program module generator and program module library providing thermal-hydraulic calcualtion of process dynamics in power unit equipment components and on-line control system operation simulation is given. Technical recommendations for model development are based on experience in creation of concrete models of NPP power units. 8 refs., 1 tab., 4 figs

  15. Programming models for energy-aware systems (United States)

    Zhu, Haitao

    Energy efficiency is an important goal of modern computing, with direct impact on system operational cost, reliability, usability and environmental sustainability. This dissertation describes the design and implementation of two innovative programming languages for constructing energy-aware systems. First, it introduces ET, a strongly typed programming language to promote and facilitate energy-aware programming, with a novel type system design called Energy Types. Energy Types is built upon a key insight into today's energy-efficient systems and applications: despite the popular perception that energy and power can only be described in joules and watts, real-world energy management is often based on discrete phases and modes, which in turn can be reasoned about by type systems very effectively. A phase characterizes a distinct pattern of program workload, and a mode represents an energy state the program is expected to execute in. Energy Types is designed to reason about energy phases and energy modes, bringing programmers into the optimization of energy management. Second, the dissertation develops Eco, an energy-aware programming language centering around sustainability. A sustainable program built from Eco is able to adaptively adjusts its own behaviors to stay on a given energy budget, avoiding both deficit that would lead to battery drain or CPU overheating, and surplus that could have been used to improve the quality of the program output. Sustainability is viewed as a form of supply and demand matching, and a sustainable program consistently maintains the equilibrium between supply and demand. ET is implemented as a prototyped compiler for smartphone programming on Android, and Eco is implemented as a minimal extension to Java. Programming practices and benchmarking experiments in these two new languages showed that ET can lead to significant energy savings for Android Apps and Eco can efficiently promote battery awareness and temperature awareness in real

  16. Outdoor Program Models: Placing Cooperative Adventure and Adventure Education Models on the Continuum. (United States)

    Guthrie, Steven P.

    In two articles on outdoor programming models, Watters distinguished four models on a continuum ranging from the common adventure model, with minimal organizational structure and leadership control, to the guide service model, in which leaders are autocratic and trips are highly structured. Club programs and instructional programs were in between,…

  17. Model Teacher - School Dental Hygiene Program. (United States)

    Smith, Lowell W.

    The purpose of this study, which was carried out during the 1972-73 school year at three parochial schools in the Houston area, was to determine the effectiveness of the Toothkeeper Program, a multimedia program of oral hygiene training carefully developed and packaged to establish effective long-term dental hygiene practice. The study population…

  18. Visual Teaching Model for Introducing Programming Languages (United States)

    Shehane, Ronald; Sherman, Steven


    This study examines detailed usage of online training videos that were designed to address specific course problems that were encountered in an online computer programming course. The study presents the specifics of a programming course where training videos were used to provide students with a quick start path to learning a new programming…

  19. A Model Program for International Commerce Education. (United States)

    Funston, Richard

    To address the economy's growing reliance on international business, San Diego State University has recently introduced a program in international commerce. The program was developed by packaging coursework in three existing areas: business administration, language training, and area studies. Although still in its infancy, the international…

  20. The 1995 Ratings of Doctoral Programs: A Hedonic Model. (United States)

    Ehrenberg, Ronald G.; Hurst, Peter J.


    Describes how to employ multivariate regression models and National Research Council data (used to rank doctoral programs) to analyze how measures of program size, faculty seniority, and faculty research and doctoral-degree productivity influence subjective ratings of doctoral programs in 35 academic fields. Illustrates how to compute the effects…

  1. Energy efficiency in nonprofit agencies: Creating effective program models

    Energy Technology Data Exchange (ETDEWEB)

    Brown, M.A.; Prindle, B.; Scherr, M.I.; White, D.L.


    Nonprofit agencies are a critical component of the health and human services system in the US. It has been clearly demonstrated by programs that offer energy efficiency services to nonprofits that, with minimal investment, they can educe their energy consumption by ten to thirty percent. This energy conservation potential motivated the Department of Energy and Oak Ridge National Laboratory to conceive a project to help states develop energy efficiency programs for nonprofits. The purpose of the project was two-fold: (1) to analyze existing programs to determine which design and delivery mechanisms are particularly effective, and (2) to create model programs for states to follow in tailoring their own plans for helping nonprofits with energy efficiency programs. Twelve existing programs were reviewed, and three model programs were devised and put into operation. The model programs provide various forms of financial assistance to nonprofits and serve as a source of information on energy efficiency as well. After examining the results from the model programs (which are still on-going) and from the existing programs, several replicability factors'' were developed for use in the implementation of programs by other states. These factors -- some concrete and practical, others more generalized -- serve as guidelines for states devising program based on their own particular needs and resources.

  2. Modeling, Specification and Construction of PLC-programs

    Directory of Open Access Journals (Sweden)

    E. V. Kuzmin


    Full Text Available A new approach to construction of reliable discrete PLC-programs with timers — programming based on specification and verification — is proposed. Timers are modelled in a discrete way. For the specification of a program behavior we use the linear-time temporal logic LTL. Programming is carried out in the ST-language according to a LTLspecification. A new approach to programming of PLC is shown by an example. The proposed programming approach provides an ability of a correctness analysis of PLC-programs using the model checking method. The programming requires fulfillment of the following two conditions: 1 a value of each variable should be changed not more than once per one full PLC-program implementation (per one full working cycle of PLC; 2 a value of each variable should only be changed in one place of a PLC-program. Under the proposed approach the change of the value of each program variable is described by a pair of LTL-formulas. The first LTL-formula describes situations that increase the value of the corresponding variable, the second LTL-formula specifies conditions leading to a decrease of the variable value. The LTL-formulas (used for specification of the corresponding variable behavior are constructive in the sense that they construct the PLC-program, which satisfies temporal properties expressed by these formulas. Thus, the programming of PLC is reduced to the construction of LTL-specification of the behavior of each program variable.

  3. Developing robotic behavior using a genetic programming model

    International Nuclear Information System (INIS)

    Pryor, R.J.


    This report describes the methodology for using a genetic programming model to develop tracking behaviors for autonomous, microscale robotic vehicles. The use of such vehicles for surveillance and detection operations has become increasingly important in defense and humanitarian applications. Through an evolutionary process similar to that found in nature, the genetic programming model generates a computer program that when downloaded onto a robotic vehicle's on-board computer will guide the robot to successfully accomplish its task. Simulations of multiple robots engaged in problem-solving tasks have demonstrated cooperative behaviors. This report also discusses the behavior model produced by genetic programming and presents some results achieved during the study

  4. Mathematical programming model for the optimization of nutritional ...

    African Journals Online (AJOL)

    The use of a mathematical programming model for determining optimal nutritional strategy for a dairy cow is described. Mixed Integer Programming (MIP) may be used to fit curvilinear functions, such as the changes in the nutrient requirements of the cow, into a standard mathematical programme. The model determines the.

  5. Modeling the effects of study abroad programs on college students (United States)

    Alvin H. Yu; Garry E. Chick; Duarte B. Morais; Chung-Hsien Lin


    This study explored the possibility of modeling the effects of a study abroad program on students from a university in the northeastern United States. A program effect model was proposed after conducting an extensive literature review and empirically examining a sample of 265 participants in 2005. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA),...

  6. Process of a cyclotron modeling with SNOP program

    International Nuclear Information System (INIS)

    Smirnov, V.L.


    The description of the SNOP program developed in JINR and intended for numerical modeling of a beam dynamics in accelerating setups of cyclotron type is presented. The main methods of work with program components, and also stages of numerical modeling of a cyclotron, the analysis of the main characteristics of the accelerated bunch by means of the SNOP are given. The explanation of some algorithms and procedures used in the program is given. [ru

  7. Designing Academic Leadership Minor Programs: Emerging Models (United States)

    Diallo, Lamine; Gerhardt, Kris


    With a growing number of leadership programs in universities and colleges in North America, leadership educators and researchers are engaged in a wide ranging dialogue to propose clear processes, content, and designs for providing academic leadership education. This research analyzes the curriculum design of 52 institutions offering a "Minor…

  8. Stochastic dynamic programming model for optimal resource ...

    Indian Academy of Sciences (India)

    M Bhuvaneswari


    Apr 11, 2018 ... containers, doctors, nurses, cash and stocks. Similarly, the uncertainty may have different characterizations in these applications. An approximate stochastic dynamic programming (SDP) [3] allows nodes with a number of possible actions with clear strategies for devising an effective decision on optimal ...

  9. A simulation model for wind energy storage systems. Volume 3: Program descriptions (United States)

    Warren, A. W.; Edsinger, R. W.; Burroughs, J. D.


    Program descriptions, flow charts, and program listings for the SIMWEST model generation program, the simulation program, the file maintenance program, and the printer plotter program are given. For Vol 2, see .

  10. Symbolic Game Semantics for Model Checking Program Families

    DEFF Research Database (Denmark)

    Dimovski, Aleksandar


    . In this paper, we propose an efficient game semantics based approach for verifying open program families, i.e. program families with free (undefined) identifiers. We use symbolic representation of algorithmic game semantics, where concrete values are replaced with symbolic ones. In this way, we can compactly...... represent program families with infinite integers as so-called (finite-state) featured symbolic automata. Specifically designed model checking algorithms are then employed to verify safety of all programs from a family at once and pinpoint those programs that are unsafe (respectively, safe). We present...

  11. Development and Implementation of a Program Management Maturity Model

    Energy Technology Data Exchange (ETDEWEB)

    Hartwig, Laura; Smith, Matt


    In 2006, Honeywell Federal Manufacturing & Technologies (FM&T) announced an updatedvision statement for the organization. The vision is “To be the most admired team within the NNSA [National Nuclear Security Administration] for our relentless drive to convert ideas into the highest quality products and services for National Security by applying the right technology, outstanding program management and best commercial practices.” The challenge to provide outstanding program management was taken up by the Program Management division and the Program Integration Office (PIO) of the company. This article describes how Honeywell developed and deployed a program management maturity model to drive toward excellence.

  12. Service systems concepts, modeling, and programming

    CERN Document Server

    Cardoso, Jorge; Poels, Geert


    This SpringerBrief explores the internal workings of service systems. The authors propose a lightweight semantic model for an effective representation to capture the essence of service systems. Key topics include modeling frameworks, service descriptions and linked data, creating service instances, tool support, and applications in enterprises.Previous books on service system modeling and various streams of scientific developments used an external perspective to describe how systems can be integrated. This brief introduces the concept of white-box service system modeling as an approach to mo

  13. Consideration of an applied model of public health program infrastructure. (United States)

    Lavinghouze, René; Snyder, Kimberly; Rieker, Patricia; Ottoson, Judith


    Systemic infrastructure is key to public health achievements. Individual public health program infrastructure feeds into this larger system. Although program infrastructure is rarely defined, it needs to be operationalized for effective implementation and evaluation. The Ecological Model of Infrastructure (EMI) is one approach to defining program infrastructure. The EMI consists of 5 core (Leadership, Partnerships, State Plans, Engaged Data, and Managed Resources) and 2 supporting (Strategic Understanding and Tactical Action) elements that are enveloped in a program's context. We conducted a literature search across public health programs to determine support for the EMI. Four of the core elements were consistently addressed, and the other EMI elements were intermittently addressed. The EMI provides an initial and partial model for understanding program infrastructure, but additional work is needed to identify evidence-based indicators of infrastructure elements that can be used to measure success and link infrastructure to public health outcomes, capacity, and sustainability.

  14. Research on teacher education programs: logic model approach. (United States)

    Newton, Xiaoxia A; Poon, Rebecca C; Nunes, Nicole L; Stone, Elisa M


    Teacher education programs in the United States face increasing pressure to demonstrate their effectiveness through pupils' learning gains in classrooms where program graduates teach. The link between teacher candidates' learning in teacher education programs and pupils' learning in K-12 classrooms implicit in the policy discourse suggests a one-to-one correspondence. However, the logical steps leading from what teacher candidates have learned in their programs to what they are doing in classrooms that may contribute to their pupils' learning are anything but straightforward. In this paper, we argue that the logic model approach from scholarship on evaluation can enhance research on teacher education by making explicit the logical links between program processes and intended outcomes. We demonstrate the usefulness of the logic model approach through our own work on designing a longitudinal study that focuses on examining the process and impact of an undergraduate mathematics and science teacher education program. Copyright © 2012 Elsevier Ltd. All rights reserved.

  15. A stochastic dynamic programming model for stream water quality ...

    Indian Academy of Sciences (India)

    This paper deals with development of a seasonal fraction-removal policy model for waste load allocation in streams addressing uncertainties due to randomness and fuzziness. A stochastic dynamic programming (SDP) model is developed to arrive at the steady-state seasonal fraction-removal policy. A fuzzy decision model ...

  16. Optimum workforce-size model using dynamic programming approach

    African Journals Online (AJOL)

    This paper presents an optimum workforce-size model which determines the minimum number of excess workers (overstaffing) as well as the minimum total recruitment cost during a specified planning horizon. The model is an extension of other existing dynamic programming models for manpower planning in the sense ...

  17. optimum workforce-size model using dynamic programming approach

    African Journals Online (AJOL)


    This paper presents an optimum workforce-size model which determines the minimum number of excess workers (overstaffing) as well as the minimum total recruitment cost during a specified planning horizon. The model is an extension of other existing dynamic programming models for manpower planning in the sense ...

  18. Credibilistic programming an introduction to models and applications

    CERN Document Server


    It provides fuzzy programming approach to solve real-life decision problems in fuzzy environment. Within the framework of credibility theory, it provides a self-contained, comprehensive and up-to-date presentation of fuzzy programming models, algorithms and applications in portfolio analysis.

  19. Application of the simplex method of linear programming model to ...

    African Journals Online (AJOL)

    This work discussed how the simplex method of linear programming could be used to maximize the profit of any business firm using Saclux Paint Company as a case study. It equally elucidated the effect variation in the optimal result obtained from linear programming model, will have on any given firm. It was demonstrated ...

  20. Time Aquatic Resources Modeling and Analysis Program (STARMAP) (United States)

    Federal Laboratory Consortium — Colorado State University has received funding from the U.S. Environmental Protection Agency (EPA) for its Space-Time Aquatic Resources Modeling and Analysis Program...

  1. State of the Short Dipole Model Program for the LHC

    CERN Document Server

    Andreyev, N I; Kurtyka, T; Oberli, L R; Perini, D; Russenschuck, Stephan; Siegel, N; Siemko, A; Tommasini, D; Vanenkov, I; Walckiers, L


    Superconducting single and twin aperture 1-m long dipole magnets are currently being fabricated at CERN at a rate of about one per month in the framework of the short dipole model program for the LHC. The program allows to study performance improvements coming from refinements in design, components and assembly options and to accumulate statistics based on a small-scale production. The experience thus gained provides in turn feedback into the long magnet program in industry. In recent models initial quenching fields above 9 T have been obtained and after a short training the conductor limit at 2 K is reached, resulting in a central bore field exceeding 10 T. The paper describes the features of recent single aperture models, the results obtained during cold tests and the plans to ensure the continuation of a vigorous model program providing input for the fabrication of the main LHC dipoles.

  2. Applying Model Checking to Industrial-Sized PLC Programs

    CERN Document Server

    AUTHOR|(CDS)2079190; Darvas, Daniel; Blanco Vinuela, Enrique; Tournier, Jean-Charles; Bliudze, Simon; Blech, Jan Olaf; Gonzalez Suarez, Victor M


    Programmable logic controllers (PLCs) are embedded computers widely used in industrial control systems. Ensuring that a PLC software complies with its specification is a challenging task. Formal verification has become a recommended practice to ensure the correctness of safety-critical software but is still underused in industry due to the complexity of building and managing formal models of real applications. In this paper, we propose a general methodology to perform automated model checking of complex properties expressed in temporal logics (\\eg CTL, LTL) on PLC programs. This methodology is based on an intermediate model (IM), meant to transform PLC programs written in various standard languages (ST, SFC, etc.) to different modeling languages of verification tools. We present the syntax and semantics of the IM and the transformation rules of the ST and SFC languages to the nuXmv model checker passing through the intermediate model. Finally, two real cases studies of \\CERN PLC programs, written mainly in th...

  3. Photovoltaic subsystem marketing and distribution model: programming manual. Final report

    Energy Technology Data Exchange (ETDEWEB)


    Complete documentation of the marketing and distribution (M and D) computer model is provided. The purpose is to estimate the costs of selling and transporting photovoltaic solar energy products from the manufacturer to the final customer. The model adjusts for the inflation and regional differences in marketing and distribution costs. The model consists of three major components: the marketing submodel, the distribution submodel, and the financial submodel. The computer program is explained including the input requirements, output reports, subprograms and operating environment. The program specifications discuss maintaining the validity of the data and potential improvements. An example for a photovoltaic concentrator collector demonstrates the application of the model.

  4. Programming models used on Many-Core architectures (United States)

    Novotný, Jan


    The time in which we live is characterized by an ever-increasing amount of data that we are able to explore and acquire. In all fields of science we could find some examples. Processing large volumes of information thus brings the requirement for engaging computational science. With increasing demands on data processing is advantageous to use new technology and start using parallel computation. Effective use of current technology requires from programmers new knowledge and skills. They meet with the countless new programming models and tools. In this article, we summarize the most commonly used programming models and points which good programming model should meet. The article also try to highlight the reasons why one should use a structured parallel programming.

  5. A Decision Model for Evaluating Potential Change in Instructional Programs. (United States)

    Amor, J. P.; Dyer, J. S.

    A statistical model designed to assist elementary school principals in the process of selection educational areas which should receive additional emphasis is presented. For each educational area, the model produces an index number which represents the expected "value" per dollar spent on an instructional program appropriate for strengthening that…

  6. Currency Arbitrage Detection Using a Binary Integer Programming Model (United States)

    Soon, Wanmei; Ye, Heng-Qing


    In this article, we examine the use of a new binary integer programming (BIP) model to detect arbitrage opportunities in currency exchanges. This model showcases an excellent application of mathematics to the real world. The concepts involved are easily accessible to undergraduate students with basic knowledge in Operations Research. Through this…

  7. Model-Checking Real-Time Control Programs

    DEFF Research Database (Denmark)

    Iversen, T. K.; Kristoffersen, K. J.; Larsen, Kim Guldstrand


    In this paper, we present a method for automatic verification of real-time control programs running on LEGO(R) RCX(TM) bricks using the verification tool UPPALL. The control programs, consisting of a number of tasks running concurrently, are automatically translated into the mixed automata model...... of UPPAAL. The fixed scheduling algorithm used by the LEGO(R) RCX(TM) processor is modeled in UPPALL, and supply of similar (sufficient) timed automata models for the environment allows analysis of the overall real-time system using the tools of UPPALL. To illustrate our technique for sorting LEGO(R) bricks...

  8. SPSS and SAS programming for the testing of mediation models. (United States)

    Dudley, William N; Benuzillo, Jose G; Carrico, Mineh S


    Mediation modeling can explain the nature of the relation among three or more variables. In addition, it can be used to show how a variable mediates the relation between levels of intervention and outcome. The Sobel test, developed in 1990, provides a statistical method for determining the influence of a mediator on an intervention or outcome. Although interactive Web-based and stand-alone methods exist for computing the Sobel test, SPSS and SAS programs that automatically run the required regression analyses and computations increase the accessibility of mediation modeling to nursing researchers. To illustrate the utility of the Sobel test and to make this programming available to the Nursing Research audience in both SAS and SPSS. The history, logic, and technical aspects of mediation testing are introduced. The syntax files sobel.sps and, created to automate the computation of the regression analysis and test statistic, are available from the corresponding author. The reported programming allows the user to complete mediation testing with the user's own data in a single-step fashion. A technical manual included with the programming provides instruction on program use and interpretation of the output. Mediation modeling is a useful tool for describing the relation between three or more variables. Programming and manuals for using this model are made available.

  9. Report of the 2014 Programming Models and Environments Summit

    Energy Technology Data Exchange (ETDEWEB)

    Heroux, Michael [US Dept. of Energy, Washington, DC (United States); Lethin, Richard [US Dept. of Energy, Washington, DC (United States)


    Programming models and environments play the essential roles in high performance computing of enabling the conception, design, implementation and execution of science and engineering application codes. Programmer productivity is strongly influenced by the effectiveness of our programming models and environments, as is software sustainability since our codes have lifespans measured in decades, so the advent of new computing architectures, increased concurrency, concerns for resilience, and the increasing demands for high-fidelity, multi-physics, multi-scale and data-intensive computations mean that we have new challenges to address as part of our fundamental R&D requirements. Fortunately, we also have new tools and environments that make design, prototyping and delivery of new programming models easier than ever. The combination of new and challenging requirements and new, powerful toolsets enables significant synergies for the next generation of programming models and environments R&D. This report presents the topics discussed and results from the 2014 DOE Office of Science Advanced Scientific Computing Research (ASCR) Programming Models & Environments Summit, and subsequent discussions among the summit participants and contributors to topics in this report.

  10. Modelling the work flow of a nuclear waste management program

    International Nuclear Information System (INIS)

    Hoeyer Mortensen, K.; Pinci, V.


    In this paper we describe a modelling project to improve a nuclear waste management program in charge of the creation of a new system for the permanent disposal of nuclear waste. SADT (Structural Analysis and Design Technique) is used in order to provide a work-flow description of the functions to be performed by the waste management program. This description is then translated into a number of Coloured Petri Nets (CPN or CP-nets) corresponding to different program functions where additional behavioural inscriptions provide basis for simulation. Each of these CP-nets is simulated to produce timed event charts that are useful for understanding the behaviour of the program functions under different scenarios. Then all the CPN models are linked together to form a single stand-alone application that is useful for validating the interaction and cooperation between the different program functions. A technique for linking executable CPN models is developed for supporting large modelling projects and parallel development of independent CPN models. (au) 11 refs

  11. Modeling and prioritizing demand response programs in power markets

    International Nuclear Information System (INIS)

    Aalami, H.A.; Moghaddam, M. Parsa; Yousefi, G.R.


    One of the responsibilities of power market regulator is setting rules for selecting and prioritizing demand response (DR) programs. There are many different alternatives of DR programs for improving load profile characteristics and achieving customers' satisfaction. Regulator should find the optimal solution which reflects the perspectives of each DR stakeholder. Multi Attribute Decision Making (MADM) is a proper method for handling such optimization problems. In this paper, an extended responsive load economic model is developed. The model is based on price elasticity and customer benefit function. Prioritizing of DR programs can be realized by means of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Considerations of ISO/utility/customer regarding the weighting of attributes are encountered by entropy method. An Analytical Hierarchy Process (AHP) is used for selecting the most effective DR program. Numerical studies are conducted on the load curve of the Iranian power grid in 2007. (author)

  12. Center for Programming Models for Scalable Parallel Computing

    Energy Technology Data Exchange (ETDEWEB)

    John Mellor-Crummey


    Rice University's achievements as part of the Center for Programming Models for Scalable Parallel Computing include: (1) design and implemention of cafc, the first multi-platform CAF compiler for distributed and shared-memory machines, (2) performance studies of the efficiency of programs written using the CAF and UPC programming models, (3) a novel technique to analyze explicitly-parallel SPMD programs that facilitates optimization, (4) design, implementation, and evaluation of new language features for CAF, including communication topologies, multi-version variables, and distributed multithreading to simplify development of high-performance codes in CAF, and (5) a synchronization strength reduction transformation for automatically replacing barrier-based synchronization with more efficient point-to-point synchronization. The prototype Co-array Fortran compiler cafc developed in this project is available as open source software from

  13. Solving seismological problems using sgraph program: II-waveform modeling

    International Nuclear Information System (INIS)

    Abdelwahed, Mohamed F.


    One of the seismological programs to manipulate seismic data is SGRAPH program. It consists of integrated tools to perform advanced seismological techniques. SGRAPH is considered a new system for maintaining and analyze seismic waveform data in a stand-alone Windows-based application that manipulate a wide range of data formats. SGRAPH was described in detail in the first part of this paper. In this part, I discuss the advanced techniques including in the program and its applications in seismology. Because of the numerous tools included in the program, only SGRAPH is sufficient to perform the basic waveform analysis and to solve advanced seismological problems. In the first part of this paper, the application of the source parameters estimation and hypocentral location was given. Here, I discuss SGRAPH waveform modeling tools. This paper exhibits examples of how to apply the SGRAPH tools to perform waveform modeling for estimating the focal mechanism and crustal structure of local earthquakes.

  14. Programming biological models in Python using PySB. (United States)

    Lopez, Carlos F; Muhlich, Jeremy L; Bachman, John A; Sorger, Peter K


    Mathematical equations are fundamental to modeling biological networks, but as networks get large and revisions frequent, it becomes difficult to manage equations directly or to combine previously developed models. Multiple simultaneous efforts to create graphical standards, rule-based languages, and integrated software workbenches aim to simplify biological modeling but none fully meets the need for transparent, extensible, and reusable models. In this paper we describe PySB, an approach in which models are not only created using programs, they are programs. PySB draws on programmatic modeling concepts from little b and ProMot, the rule-based languages BioNetGen and Kappa and the growing library of Python numerical tools. Central to PySB is a library of macros encoding familiar biochemical actions such as binding, catalysis, and polymerization, making it possible to use a high-level, action-oriented vocabulary to construct detailed models. As Python programs, PySB models leverage tools and practices from the open-source software community, substantially advancing our ability to distribute and manage the work of testing biochemical hypotheses. We illustrate these ideas using new and previously published models of apoptosis.

  15. Automatic generation of Fortran programs for algebraic simulation models

    International Nuclear Information System (INIS)

    Schopf, W.; Rexer, G.; Ruehle, R.


    This report documents a generator program by which econometric simulation models formulated in an application-orientated language can be transformed automatically in a Fortran program. Thus the model designer is able to build up, test and modify models without the need of a Fortran programmer. The development of a computer model is therefore simplified and shortened appreciably; in chapter 1-3 of this report all rules are presented for the application of the generator to the model design. Algebraic models including exogeneous and endogeneous time series variables, lead and lag function can be generated. In addition, to these language elements, Fortran sequences can be applied to the formulation of models in the case of complex model interrelations. Automatically the generated model is a module of the program system RSYST III and is therefore able to exchange input and output data with the central data bank of the system and in connection with the method library modules can be used to handle planning problems. (orig.) [de

  16. Utility of Small Animal Models of Developmental Programming. (United States)

    Reynolds, Clare M; Vickers, Mark H


    Any effective strategy to tackle the global obesity and rising noncommunicable disease epidemic requires an in-depth understanding of the mechanisms that underlie these conditions that manifest as a consequence of complex gene-environment interactions. In this context, it is now well established that alterations in the early life environment, including suboptimal nutrition, can result in an increased risk for a range of metabolic, cardiovascular, and behavioral disorders in later life, a process preferentially termed developmental programming. To date, most of the mechanistic knowledge around the processes underpinning development programming has been derived from preclinical research performed mostly, but not exclusively, in laboratory mouse and rat strains. This review will cover the utility of small animal models in developmental programming, the limitations of such models, and potential future directions that are required to fully maximize information derived from preclinical models in order to effectively translate to clinical use.

  17. A model technology transfer program for independent operators

    Energy Technology Data Exchange (ETDEWEB)

    Schoeling, L.G.


    In August 1992, the Energy Research Center (ERC) at the University of Kansas was awarded a contract by the US Department of Energy (DOE) to develop a technology transfer regional model. This report describes the development and testing of the Kansas Technology Transfer Model (KTTM) which is to be utilized as a regional model for the development of other technology transfer programs for independent operators throughout oil-producing regions in the US. It describes the linkage of the regional model with a proposed national technology transfer plan, an evaluation technique for improving and assessing the model, and the methodology which makes it adaptable on a regional basis. The report also describes management concepts helpful in managing a technology transfer program.

  18. Transforming PLC Programs into Formal Models for Verification Purposes

    CERN Document Server

    Darvas, D; Blanco, E


    Most of CERN’s industrial installations rely on PLC-based (Programmable Logic Controller) control systems developed using the UNICOS framework. This framework contains common, reusable program modules and their correctness is a high priority. Testing is already applied to find errors, but this method has limitations. In this work an approach is proposed to transform automatically PLC programs into formal models, with the goal of applying formal verification to ensure their correctness. We target model checking which is a precise, mathematical-based method to check formalized requirements automatically against the system.

  19. Model-based automated testing of critical PLC programs.

    CERN Document Server

    Fernández Adiego, B; Tournier, J-C; González Suárez, V M; Bliudze, S


    Testing of critical PLC (Programmable Logic Controller) programs remains a challenging task for control system engineers as it can rarely be automated. This paper proposes a model based approach which uses the BIP (Behavior, Interactions and Priorities) framework to perform automated testing of PLC programs developed with the UNICOS (UNified Industrial COntrol System) framework. This paper defines the translation procedure and rules from UNICOS to BIP which can be fully automated in order to hide the complexity of the underlying model from the control engineers. The approach is illustrated and validated through the study of a water treatment process.

  20. On the Feasibility of a Unified Modelling and Programming Paradigm

    DEFF Research Database (Denmark)

    Haxthausen, Anne Elisabeth; Peleska, Jan


    In this article, the feasibility of a unified modelling and programming paradigm is discussed from the perspective of large scale system development and verification in collaborative development environments. We motivate the necessity to utilise multiple formalisms for development and verification......, in particular for complex cyber-physical systems or systems of systems. Though modelling, programming, and verification will certainly become more closely integrated in the future, we do not expect a single formalism to become universally applicable and accepted by the development and verification communities...

  1. A constraint programming model for mixed model type 2 assembly line balancing problem

    Directory of Open Access Journals (Sweden)

    Hacı Mehmet Alağaş


    Full Text Available This paper presents a new constraint programming model for mixed-model assembly line balancing problem. The proposed model minimizes the cycle time for a given number of stations. The proposed model is tested with literature problems and its performance is evaluated by comparing to mathematical model. Best obtained solution and elapsed CPU time are used as performance criteria. The experimental results show that the proposed constraint programming model performs well and can be used as an alternative modeling technique to solve the problem.

  2. Integration of a Multizone Airflow Model into a Thermalsimulation Program

    DEFF Research Database (Denmark)

    Jensen, Rasmus Lund; Sørensen, Karl Grau; Heiselberg, Per


    An existing computer model for dynamic hygrothermal analysis of buildings has been extended with a multizone airflow model based on loop equations to account for the coupled thermal and airflow in natural and hybrid ventilated buildings. In water distribution network and related fields loop...... a methodology adopted from water distribution network that automatically sets up the independent loops and is easy to implement into a computer program. Finally an example of verification of the model is given which demonstrates the ability of the models to accurately predict the airflow of a simple multizone...

  3. Community Based Educational Model on Water Conservation Program (United States)

    Sudiajeng, L.; Parwita, I. G. L.; Wiraga, I. W.; Mudhina, M.


    The previous research showed that there were indicators of water crisis in the northern and eastern part of Denpasar city and most of coastal area experienced on seawater intrusion. The recommended water conservation programs were rainwater harvesting and educate the community to develop a water saving and environmentally conscious culture. This research was conducted to built the community based educational model on water conservation program through ergonomics SHIP approach which placed the human aspect as the first consideration, besides the economic and technically aspects. The stakeholders involved in the program started from the problem analyses to the implementation and the maintenance as well. The model was built through three main steps, included determination of accepted design; building the recharge wells by involving local communities; guidance and assistance in developing a water saving and environmentally conscious culture for early childhood, elementary and junior high school students, community and industry. The program was implemented based on the “TRIHITA KARANA” concept, which means the relationship between human to God, human-to-human, and human to environment. Through the development of the model, it is expected to grow a sense of belonging and awareness from the community to maintain the sustainability of the program.

  4. Model of Communication Program Corporate Social Responsibility for Empowerment Community

    Directory of Open Access Journals (Sweden)

    David Rizar Nugroho


    Full Text Available Community empowerment is one of the keys to success in running development of a region. The empowerment program carried out with models, shapes and different strategies. The purpose of this study was to analyze (1 Determine the perception of the implementation of communication channels and approaches to communications made in the program CSR companies. (2 Analyze the influence of the characteristics of the beneficiaries, and the communication channel communication approach CSR program the company towards community empowerment. The samples used in this study were 410 respondents. This study is designed as a quantitative research boosted by the approach of a qualitative study using descriptive analysis and structural equation modeling (SEM. The results of this study include: (1 Perception of beneficiaries for variables communication channels, communication approach and community empowerment approach is generally considered good. (2 The variables that affect the community empowerment are approach communication and communication channels, while the characteristics of the beneficiaries had no significant effect.

  5. Menu variations for diabetes mellitus patients using Goal Programming model (United States)

    Dhoruri, Atmini; Lestari, Dwi; Ratnasari, Eminugroho


    Diabetes mellitus (DM) was a chronic metabolic disease characterized by higher than normal blood glucose level (normal blood glucose level = = 80 -120 mg/dl). In this study, type 2 DM which mostly caused by unhealthy eating habits would be investigated. Related to eating habit, DM patients needed dietary menu planning with an extracare regarding their nutrients intake (energy, protein, fat and carbohydrate). Therefore, the measures taken were by organizing nutritious dietary menu for diabetes mellitus patients. Dietary menu with appropriate amount of nutrients was organized by considering the amount of calories, proteins, fats and carbohydrates. In this study, Goal Programming model was employed to determine optimal dietary menu variations for diabetes mellitus patients by paying attention to optimal expenses. According to the data obtained from hospitals in Yogyakarta, optimal menu variations would be analyzed by using Goal Programming model and would be completed by using LINGO computer program.

  6. Application of Logic Models in a Large Scientific Research Program (United States)

    O'Keefe, Christine M.; Head, Richard J.


    It is the purpose of this article to discuss the development and application of a logic model in the context of a large scientific research program within the Commonwealth Scientific and Industrial Research Organisation (CSIRO). CSIRO is Australia's national science agency and is a publicly funded part of Australia's innovation system. It conducts…


    Directory of Open Access Journals (Sweden)

    S. P. Kundas


    Full Text Available In the article there is presented the program complex ThermoSim, consisting of preprocessor, processor and postprocessor and intended for modeling (analysis of thermalphysic processes and characteristics of details of instrument-making and machine-building, diagnostics and optimization of technological processes of heat treatment and details constructions without using the destructive control methods.

  8. A quadratic programming model for crop combinations in intercropping

    African Journals Online (AJOL)

    One particularly known problem that confronts the farmer is that of determining optimal crop combinations for an intercropping scheme. This work therefore sets out to develop a model which determines optimally a crop combination that will yield maximum profit when interactive effects are present. A quadratic programming ...

  9. Universal Instructional Design as a Model for Educational Programs (United States)

    Higbee, Jeanne L.


    This article describes Universal Instructional Design as an inclusive pedagogical model for use in educational programs, whether provided by traditional educational institutions, community-based initiatives, or workplace literacy projects. For the benefit of public relations specialists and classroom educators alike, the article begins with a…

  10. Fuzzy Goal Programming Approach in Selective Maintenance Reliability Model

    Directory of Open Access Journals (Sweden)

    Neha Gupta


    Full Text Available 800x600 In the present paper, we have considered the allocation problem of repairable components for a parallel-series system as a multi-objective optimization problem and have discussed two different models. In first model the reliability of subsystems are considered as different objectives. In second model the cost and time spent on repairing the components are considered as two different objectives. These two models is formulated as multi-objective Nonlinear Programming Problem (MONLPP and a Fuzzy goal programming method is used to work out the compromise allocation in multi-objective selective maintenance reliability model in which we define the membership functions of each objective function and then transform membership functions into equivalent linear membership functions by first order Taylor series and finally by forming a fuzzy goal programming model obtain a desired compromise allocation of maintenance components. A numerical example is also worked out to illustrate the computational details of the method.  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4

  11. Supporting universal prevention programs: a two-phased coaching model. (United States)

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


    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. Use of linear programming models in experimentation with plant nutrients

    Directory of Open Access Journals (Sweden)

    Mauro Brino Garcia


    Full Text Available Nutrition is an important issue of plant cultivation and experimentation with plant nutrients is a supporting tool for agriculture. However, use of high purity grade reagents as nutrient sources can be expensive and increases the cost of an experiment. The objective of this study was to minimize the acquisition cost of high purity grade reagents in experiments on plant nutrient deficiency by using the missing element technique through linear programming models, and to generate recommendation tables for preparation of culture solutions, as well as to quantify gains through a simulated experiment. Two linear programming models were formulated containing concentration constraints for each nutrient in the culture solution. Model A was based on 16 reagents for preparation of the culture solution, while model B was based on 27 reagents, looking to increase choice options. Results showed that both models minimized the acquisition cost of reagents, allowing a 9.03% reduction in model A and a 25.98% reduction in model B. The missing sulfur treatment proved the most costly for reagent acquisition while the missing nitrogen treatment proved the least costly. It was concluded that the formulated models were capable of reducing acquisition costs of reagents, yet the recommendations generated by them should be tested and checked for practical viability.

  13. Programming Models for Concurrency and Real-Time (United States)

    Vitek, Jan

    Modern real-time applications are increasingly large, complex and concurrent systems which must meet stringent performance and predictability requirements. Programming those systems require fundamental advances in programming languages and runtime systems. This talk presents our work on Flexotasks, a programming model for concurrent, real-time systems inspired by stream-processing and concurrent active objects. Some of the key innovations in Flexotasks are that it support both real-time garbage collection and region-based memory with an ownership type system for static safety. Communication between tasks is performed by channels with a linear type discipline to avoid copying messages, and by a non-blocking transactional memory facility. We have evaluated our model empirically within two distinct implementations, one based on Purdue’s Ovm research virtual machine framework and the other on Websphere, IBM’s production real-time virtual machine. We have written a number of small programs, as well as a 30 KLOC avionics collision detector application. We show that Flexotasks are capable of executing periodic threads at 10 KHz with a standard deviation of 1.2us and have performance competitive with hand coded C programs.

  14. A Programming Model for Massive Data Parallelism with Data Dependencies

    International Nuclear Information System (INIS)

    Cui, Xiaohui; Mueller, Frank; Potok, Thomas E.; Zhang, Yongpeng


    Accelerating processors can often be more cost and energy effective for a wide range of data-parallel computing problems than general-purpose processors. For graphics processor units (GPUs), this is particularly the case when program development is aided by environments such as NVIDIA s Compute Unified Device Architecture (CUDA), which dramatically reduces the gap between domain-specific architectures and general purpose programming. Nonetheless, general-purpose GPU (GPGPU) programming remains subject to several restrictions. Most significantly, the separation of host (CPU) and accelerator (GPU) address spaces requires explicit management of GPU memory resources, especially for massive data parallelism that well exceeds the memory capacity of GPUs. One solution to this problem is to transfer data between the GPU and host memories frequently. In this work, we investigate another approach. We run massively data-parallel applications on GPU clusters. We further propose a programming model for massive data parallelism with data dependencies for this scenario. Experience from micro benchmarks and real-world applications shows that our model provides not only ease of programming but also significant performance gains

  15. Modeling and prototyping of biometric systems using dataflow programming (United States)

    Minakova, N.; Petrov, I.


    The development of biometric systems is one of the labor-intensive processes. Therefore, the creation and analysis of approaches and techniques is an urgent task at present. This article presents a technique of modeling and prototyping biometric systems based on dataflow programming. The technique includes three main stages: the development of functional blocks, the creation of a dataflow graph and the generation of a prototype. A specially developed software modeling environment that implements this technique is described. As an example of the use of this technique, an example of the implementation of the iris localization subsystem is demonstrated. A variant of modification of dataflow programming is suggested to solve the problem related to the undefined order of block activation. The main advantage of the presented technique is the ability to visually display and design the model of the biometric system, the rapid creation of a working prototype and the reuse of the previously developed functional blocks.

  16. Hybrid programming model for implicit PDE simulations on multicore architectures

    KAUST Repository

    Kaushik, Dinesh


    The complexity of programming modern multicore processor based clusters is rapidly rising, with GPUs adding further demand for fine-grained parallelism. This paper analyzes the performance of the hybrid (MPI+OpenMP) programming model in the context of an implicit unstructured mesh CFD code. At the implementation level, the effects of cache locality, update management, work division, and synchronization frequency are studied. The hybrid model presents interesting algorithmic opportunities as well: the convergence of linear system solver is quicker than the pure MPI case since the parallel preconditioner stays stronger when hybrid model is used. This implies significant savings in the cost of communication and synchronization (explicit and implicit). Even though OpenMP based parallelism is easier to implement (with in a subdomain assigned to one MPI process for simplicity), getting good performance needs attention to data partitioning issues similar to those in the message-passing case. © 2011 Springer-Verlag.

  17. Flexible building stock modelling with array-programming

    DEFF Research Database (Denmark)

    Brøgger, Morten; Wittchen, Kim Bjarne


    Many building stock models employ archetype-buildings in order to capture the essential characteristics of a diverse building stock. However, these models often require multiple archetypes, which make them inflexible. This paper proposes an array-programming based model, which calculates the heat...... demand of each building separately. This approach makes it possible to study any subset of the building stock without loss of information. Moreover, the calculated heat demand can readily be compared to a registered consumption in individual buildings to account for discrepancies. Results show, that we...

  18. Modelling of windmill induction generators in dynamic simulation programs

    DEFF Research Database (Denmark)

    Akhmatov, Vladislav; Knudsen, Hans


    For AC networks with large amounts of induction generators-in case of e.g. windmills-the paper demonstrates a significant discrepancy in the simulated voltage recovery after faults in weak networks, when comparing result obtained with dynamic stability programs and transient programs, respectively...... with and without a model of the mechanical shaft. The reason for the discrepancies are explained, and it is shown that the phenomenon is due partly to the presence of DC offset currents in the induction machine stator, and partly to the mechanical shaft system of the wind turbine and the generator rotor...

  19. An occupational medical program for a 'model' uranium mill

    International Nuclear Information System (INIS)

    Miller, H.T.


    The basic purpose of occupational health programs in uranium milling are to insure that no employee receives an exposure to carcinogenic, mutagenic, teratogenic, highly toxic, pneumoconiosis-producing, or dangerous physical agents that could result in chronic or acute injury and to assure that significant concentrations or levels of the above are not present in either the plant or general environment. This paper defines a model mill as consisting of crushing, sizing, acid leach, separation, solvent extraction, drying and packaging operations and describes the employee health hazards associated with each. It also describes a type program consisting of a balanced combination of exposure monitoring and survey, air samples, personnel dosimetry, bioassay, training, medical surveillance, and emergency planning based on the employee exposure situation. Experience with such a program is also discussed, and some techniques of practically meeting the regulatory requirements and protecting the worker are outlined. (Auth.)

  20. Efficient mixed integer programming models for family scheduling problems

    Directory of Open Access Journals (Sweden)

    Meng-Ye Lin

    Full Text Available This paper proposes several mixed integer programming models which incorporate optimal sequence properties into the models, to solve single machine family scheduling problems. The objectives are total weighted completion time and maximum lateness, respectively. Experiment results indicate that there are remarkable improvements in computational efficiency when optimal sequence properties are included in the models. For the total weighted completion time problems, the best model solves all of the problems up to 30-jobs within 5 s, all 50-job problems within 4 min and about 1/3 of the 75-job to 100-job problems within 1 h. For maximum lateness problems, the best model solves almost all the problems up to 30-jobs within 11 min and around half of the 50-job to 100-job problems within 1 h. Keywords: Family scheduling, Sequence independent setup, Total weighted completion time, Maximum lateness

  1. Development of CANDU 6 Primary Heat Transport System Modeling Program

    International Nuclear Information System (INIS)

    Seo, Hyung-beom; Kim, Sung-min; Park, Joong-woo; Kim, Kwang-su; Ko, Dae-hack; Han, Bong-seob


    NUCIRC is a steady-state thermal-hydraulic code used for design and performance analyses of CANDU Heat Transport System. The code is used to build PHT model in Wolsong NPP and to calculate channel flow distribution. Wolsong NPP has to calculate channel flow distribution and quality of coolant at the ROH header after every outage by OPP (Operating Policy and Principal). PHT modeling work is time consuming which need a lot of operation experience and specialty. It is very difficult to build PHT model as plant operator in two weeks which is obligate for plant operation after every outage. That is why Wolsong NPP develop NUMODEL (NUcirc MODELing) with many-years experience and a know-how of using NUCIRC code. NUMODEL is computer program which is used to create PHT model based on utilizing NUCIRC code

  2. The FITS model office ergonomics program: a model for best practice. (United States)

    Chim, Justine M Y


    An effective office ergonomics program can predict positive results in reducing musculoskeletal injury rates, enhancing productivity, and improving staff well-being and job satisfaction. Its objective is to provide a systematic solution to manage the potential risk of musculoskeletal disorders among computer users in an office setting. A FITS Model office ergonomics program is developed. The FITS Model Office Ergonomics Program has been developed which draws on the legislative requirements for promoting the health and safety of workers using computers for extended periods as well as previous research findings. The Model is developed according to the practical industrial knowledge in ergonomics, occupational health and safety management, and human resources management in Hong Kong and overseas. This paper proposes a comprehensive office ergonomics program, the FITS Model, which considers (1) Furniture Evaluation and Selection; (2) Individual Workstation Assessment; (3) Training and Education; (4) Stretching Exercises and Rest Break as elements of an effective program. An experienced ergonomics practitioner should be included in the program design and implementation. Through the FITS Model Office Ergonomics Program, the risk of musculoskeletal disorders among computer users can be eliminated or minimized, and workplace health and safety and employees' wellness enhanced.

  3. Original article Rehabilitation model program for seriously ill patients

    Directory of Open Access Journals (Sweden)

    Adrienne Kegye


    Full Text Available Background Patients receiving cancer treatment start lifestyle changes mostly at the end of the treatment during the rehabilitation period. Most often, the first step is a dietary change and physical exercises built into the daily routine. Patients who do this in groups led by qualified therapists and based on professional counseling can build more effective and more permanent changes into their life. To develop a complex rehabilitation program which, in the short term, aims to familiarize patients with a lifestyle which harmonizes the physical, mental, spiritual and social spheres of life and, in the long term, to build it into their everyday life in order to ameliorate the physical and mental state and reduce the psychological symptoms and the isolation of patients. The physical component focuses on diet and exercise. The psycho-social-spiritual support focuses on discovering inner sources of strength, developing active coping mechanisms and helping to achieve more open communication. Participants and procedure In February and March 2011, 8 patients treated for malignant tumors participated in the model program. The components of the model program were psychotherapy, physiotherapy, cancer consultation, nutrition counseling, creative activities and walking. Results During the period of the model program the isolation of the patients decreased and their social support and ability of coping with the illness ameliorated. They reported an ease in anxiety and depression in their everyday activities. According to feedback, their communication with each other, with the staff and with their relatives became more open. Altogether this had advantageous effects on the functioning of the ward and the mood of the staff. Conclusions The rehabilitation program confirmed that beside individual psycho-social support, beneficial and economic psycho-social support can be provided for the patients in group form along with the most effective assignment of the

  4. Programming

    International Nuclear Information System (INIS)

    Jackson, M.A.


    The programmer's task is often taken to be the construction of algorithms, expressed in hierarchical structures of procedures: this view underlies the majority of traditional programming languages, such as Fortran. A different view is appropriate to a wide class of problem, perhaps including some problems in High Energy Physics. The programmer's task is regarded as having three main stages: first, an explicit model is constructed of the reality with which the program is concerned; second, this model is elaborated to produce the required program outputs; third, the resulting program is transformed to run efficiently in the execution environment. The first two stages deal in network structures of sequential processes; only the third is concerned with procedure hierarchies. (orig.)

  5. Programming

    CERN Document Server

    Jackson, M A


    The programmer's task is often taken to be the construction of algorithms, expressed in hierarchical structures of procedures: this view underlies the majority of traditional programming languages, such as Fortran. A different view is appropriate to a wide class of problem, perhaps including some problems in High Energy Physics. The programmer's task is regarded as having three main stages: first, an explicit model is constructed of the reality with which the program is concerned; second, this model is elaborated to produce the required program outputs; third, the resulting program is transformed to run efficiently in the execution environment. The first two stages deal in network structures of sequential processes; only the third is concerned with procedure hierarchies.

  6. Summary of multi-core hardware and programming model investigations

    Energy Technology Data Exchange (ETDEWEB)

    Kelly, Suzanne Marie; Pedretti, Kevin Thomas Tauke; Levenhagen, Michael J.


    This report summarizes our investigations into multi-core processors and programming models for parallel scientific applications. The motivation for this study was to better understand the landscape of multi-core hardware, future trends, and the implications on system software for capability supercomputers. The results of this study are being used as input into the design of a new open-source light-weight kernel operating system being targeted at future capability supercomputers made up of multi-core processors. A goal of this effort is to create an agile system that is able to adapt to and efficiently support whatever multi-core hardware and programming models gain acceptance by the community.

  7. Final Report: Center for Programming Models for Scalable Parallel Computing

    Energy Technology Data Exchange (ETDEWEB)

    Mellor-Crummey, John [William Marsh Rice University


    As part of the Center for Programming Models for Scalable Parallel Computing, Rice University collaborated with project partners in the design, development and deployment of language, compiler, and runtime support for parallel programming models to support application development for the “leadership-class” computer systems at DOE national laboratories. Work over the course of this project has focused on the design, implementation, and evaluation of a second-generation version of Coarray Fortran. Research and development efforts of the project have focused on the CAF 2.0 language, compiler, runtime system, and supporting infrastructure. This has involved working with the teams that provide infrastructure for CAF that we rely on, implementing new language and runtime features, producing an open source compiler that enabled us to evaluate our ideas, and evaluating our design and implementation through the use of benchmarks. The report details the research, development, findings, and conclusions from this work.


    Directory of Open Access Journals (Sweden)

    Astin Lukum


    THE EVALUATION OF SCIENCE TEACHING ON JUNIOR HIGH SCHOOL USING STAKE’S COUNTENANCE MODEL Abstract The purpose of the study was to describe the science learning program on junior high school in Bone Bolanga district based on the Regulation of Minister of Education and Culture of the Republic of Indonesia, Number 65 of 2013 about Processing Standard of Primary and Secondary Education. This study used Stake’s Countanance evaluation model. The data were collected using observation, interview and documentation techniques. The conclusion was: (1 the planning of science learning was categorized fair (68%, it was found that lesson plan was not in accordance with the learning processing standard. (2 The implementation of science learning was categorized fair (57%, that unconformitted with learning processing implementation standard. (3 Student learning outcomes have not met the completeness of minimum criteria (KKM that categorized enough (65% and (4 There were the contingency of planing learning proces and outcome. Keywords: Program Evaluation, Stake's Countenance, Science Learning

  9. Using Runtime Analysis to Guide Model Checking of Java Programs (United States)

    Havelund, Klaus; Norvig, Peter (Technical Monitor)


    This paper describes how two runtime analysis algorithms, an existing data race detection algorithm and a new deadlock detection algorithm, have been implemented to analyze Java programs. Runtime analysis is based on the idea of executing the program once. and observing the generated run to extract various kinds of information. This information can then be used to predict whether other different runs may violate some properties of interest, in addition of course to demonstrate whether the generated run itself violates such properties. These runtime analyses can be performed stand-alone to generate a set of warnings. It is furthermore demonstrated how these warnings can be used to guide a model checker, thereby reducing the search space. The described techniques have been implemented in the b e grown Java model checker called PathFinder.

  10. Comparison of Building Energy Modeling Programs: Building Loads

    Energy Technology Data Exchange (ETDEWEB)

    Zhu, Dandan [Tsinghua Univ., Beijing (China); Hong, Tianzhen [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Yan, Da [Tsinghua Univ., Beijing (China); Wang, Chuang [Tsinghua Univ., Beijing (China)


    This technical report presented the methodologies, processes, and results of comparing three Building Energy Modeling Programs (BEMPs) for load calculations: EnergyPlus, DeST and DOE-2.1E. This joint effort, between Lawrence Berkeley National Laboratory, USA and Tsinghua University, China, was part of research projects under the US-China Clean Energy Research Center on Building Energy Efficiency (CERC-BEE). Energy Foundation, an industrial partner of CERC-BEE, was the co-sponsor of this study work. It is widely known that large discrepancies in simulation results can exist between different BEMPs. The result is a lack of confidence in building simulation amongst many users and stakeholders. In the fields of building energy code development and energy labeling programs where building simulation plays a key role, there are also confusing and misleading claims that some BEMPs are better than others. In order to address these problems, it is essential to identify and understand differences between widely-used BEMPs, and the impact of these differences on load simulation results, by detailed comparisons of these BEMPs from source code to results. The primary goal of this work was to research methods and processes that would allow a thorough scientific comparison of the BEMPs. The secondary goal was to provide a list of strengths and weaknesses for each BEMP, based on in-depth understandings of their modeling capabilities, mathematical algorithms, advantages and limitations. This is to guide the use of BEMPs in the design and retrofit of buildings, especially to support China’s building energy standard development and energy labeling program. The research findings could also serve as a good reference to improve the modeling capabilities and applications of the three BEMPs. The methodologies, processes, and analyses employed in the comparison work could also be used to compare other programs. The load calculation method of each program was analyzed and compared to

  11. Coupling R and PHREEQC: Efficient Programming of Geochemical Models


    De Lucia, Marco; Kühn, Michael


    We present a new interface between the geochemical simulator PHREEQC and the open source language R. It represents a tool to flexibly and efficiently program and automate every aspect of geochemical modelling. The interface helps particularly to setup and run large numbers of simulations and visualise the results. Also profiting of numberless high-quality R extension packages, performing sensitivity analysis or Monte Carlo simulations becomes straightforward. Further, an algorithm to speedup ...

  12. Model-Based Programming of Fault-Aware Systems


    Williams, Brian C.; Ingham, Michel D.; Chung, Seung; Elliott, Paul; Hofbaur, Michael; Sullivan, Gregory T.


    A wide range of sensor-rich, networked embedded systems are being created that must operate robustly for years in the face of novel failures by managing complex autonomic processes. These systems are being composed, for example, into vast networks of space, air, ground, and underwater vehicles. Our objective is to revolutionize the way in which we control these new artifacts by creating reactive model-based programming languages that enable everyday systems to reason intelligently and enable ...

  13. The Athletic Prevention Programming and Leadership Education (APPLE) Model: Developing Substance Abuse Prevention Programs


    Grossman, Susan J.; Gieck, Joe; Fang, Wei Li; Freedman, Alan


    Alcohol and other drug (AOD) abuse affects every sector of society, and student-athletes are no exception. Because many factors affecting athletes do not affect other students, athletic departments commonly approach prevention through AOD education. Different educational approaches are described in this article, particularly the Athletic Prevention Programming and Leadership Education (APPLE) model. Project APPLE is designed to enable an athletic department to systematically analyze its AOD p...

  14. Tecnomatix Plant Simulation modeling and programming by means of examples

    CERN Document Server

    Bangsow, Steffen


    This book systematically introduces the development of simulation models as well as the implementation and evaluation of simulation experiments with Tecnomatix Plant Simulation. It deals with all users of Plant Simulation, who have more complex tasks to handle. It also looks for an easy entry into the program. Particular attention has been paid to introduce the simulation flow language SimTalk and its use in various areas of the simulation. The author demonstrates with over 200 examples how to combine the blocks for simulation models and how to deal with SimTalk for complex control and analys

  15. An integer programming model for distal humerus fracture fixation planning. (United States)

    Maratt, Joseph D; Peaks, Ya-Sin A; Doro, Lisa Case; Karunakar, Madhav A; Hughes, Richard E


    To demonstrate the feasibility of an integer programming model to assist in pre-operative planning for open reduction and internal fixation of a distal humerus fracture. We describe an integer programming model based on the objective of maximizing the reward for screws placed while satisfying the requirements for sound internal fixation. The model maximizes the number of bicortical screws placed while avoiding screw collision and favoring screws of greater length that cross multiple fracture planes. The model was tested on three types of total articular fractures of the distal humerus. Solutions were generated using 5, 9, 21 and 33 possible screw orientations per hole. Solutions generated using 33 possible screw orientations per hole and five screw lengths resulted in the most clinically relevant fixation plan and required the calculation of 1,191,975 pairs of screws that resulted in collision. At this level of complexity, the pre-processor took 104 seconds to generate the constraints for the solver, and a solution was generated in under one minute in all three cases. Despite the large size of this problem, it can be solved in a reasonable amount of time, making use of the model practical in pre-surgical planning.

  16. A Game-Theoretic Model for Distributed Programming by Contract

    DEFF Research Database (Denmark)

    Henriksen, Anders Starcke; Hvitved, Tom; Filinski, Andrzej


    We present an extension of the programming-by-contract (PBC) paradigm to a concurrent and distributed environment.  Classical PBC is characterized by absolute conformance of code to its specification, assigning blame in case of failures, and a hierarchical, cooperative decomposition model – none...... of which extend naturally to a distributed environment with multiple administrative peers. We therefore propose a more nuanced contract model based on quantifiable performance of implementations; assuming responsibility for success; and a fundamentally adversarial model of system integration, where each...... component provider is optimizing its behavior locally, with respect to potentially conflicting demands.  This model gives rise to a game-theoretic formulation of contract-governed process interactions that supports compositional reasoning about contract conformance....

  17. Model - Model Pembelajaran pada Program Studi Pendidikan Guru Madrasah Ibtidaiyah (PGMI STAIN Samarinda

    Directory of Open Access Journals (Sweden)

    Syeh Hawib Hamzah


    Full Text Available The model of learning is a vital thing in education. A good appropriate model of learning could reach the goal of learning efficently and effectively. The lecturers of education and teacher training program of STAIN Samarinda implement a various teaching and learning models when they perform their teaching, such as: model of contectual teaching, social interaction, informational proces, personal-based learning, behaviorism, cooperative learning, and problem-based learning.

  18. A model for a national low level waste program

    International Nuclear Information System (INIS)

    Blankenhorn, James A.


    A national program for the management of low level waste is essential to the success of environmental clean-up, decontamination and decommissioning, current operations and future missions. The value of a national program is recognized through procedural consistency and a shared set of resources. A national program requires a clear waste definition and an understanding of waste characteristics matched against available and proposed disposal options. A national program requires the development and implementation of standards and procedures for implementing the waste hierarchy, with a specitic emphasis on waste avoidance, minimization and recycling. It requires a common set of objectives for waste characterization based on the disposal facility's waste acceptance criteria, regulatory and license requirements and performance assessments. Finally, a national waste certification program is required to ensure compliance. To facilitate and enhance the national program, a centralized generator services organization, tasked with providing technical services to the generators on behalf of the national program, is necessary. These subject matter experts are the interface between the generating sites and the disposal facility(s). They provide an invaluable service to the generating organizations through their involvement in waste planning prior to waste generation and through championing implementation of the waste hierarchy. Through their interface, national treatment and transportation services are optimized and new business opportunities are identified. This national model is based on extensive experience in the development and on-going management of a national transuranic waste program and management of the national repository, the Waste Isolation Pilot Plant. The Low Level Program at the Savannah River Site also successfully developed and implemented the waste hierarchy, waste certification and waste generator services concepts presented below. The Savannah River Site

  19. Optical Neural Network Models Applied To Logic Program Execution (United States)

    Stormon, Charles D.


    Logic programming is being used extensively by Artificial Intelligence researchers to solve problems including natural language processing and expert systems. These languages, of which Prolog is the most widely used, promise to revolutionize software engineering, but much greater performance is needed. Researchers have demonstrated the applicability of neural network models to the solution of certain NP-complete problems, but these methods are not obviously applicable to the execution of logic programs. This paper outlines the use of neural networks in four aspects of the logic program execution cycle, and discusses results of a simulation of three of these. Four neural network functional units are described, called the substitution agent, the clause filter, the structure processor, and the heuristics generator, respectively. Simulation results suggest that the system described may provide several orders of magnitude improvement in execution speed for large logic programs. However, practical implementation of the proposed architecture will require the application of optical computing techniques due to the large number of neurons required, and the need for massive, adaptive connectivity.

  20. Evaluation of Medical Education virtual Program: P3 model. (United States)

    Rezaee, Rita; Shokrpour, Nasrin; Boroumand, Maryam


    In e-learning, people get involved in a process and create the content (product) and make it available for virtual learners. The present study was carried out in order to evaluate the first virtual master program in medical education at Shiraz University of Medical Sciences according to P3 Model. This is an evaluation research study with post single group design used to determine how effective this program was. All students 60 who participated more than one year in this virtual program and 21 experts including teachers and directors participated in this evaluation project. Based on the P3 e-learning model, an evaluation tool with 5-point Likert rating scale was designed and applied to collect the descriptive data. Students reported storyboard and course design as the most desirable element of learning environment (2.30±0.76), but they declared technical support as the less desirable part (1.17±1.23). Presence of such framework in this regard and using it within the format of appropriate tools for evaluation of e-learning in universities and higher education institutes, which present e-learning curricula in the country, may contribute to implementation of the present and future e-learning curricula efficiently and guarantee its implementation in an appropriate way.

  1. Genetic Programming and Standardization in Water Temperature Modelling

    Directory of Open Access Journals (Sweden)

    Maritza Arganis


    Full Text Available An application of Genetic Programming (an evolutionary computational tool without and with standardization data is presented with the aim of modeling the behavior of the water temperature in a river in terms of meteorological variables that are easily measured, to explore their explanatory power and to emphasize the utility of the standardization of variables in order to reduce the effect of those with large variance. Recorded data corresponding to the water temperature behavior at the Ebro River, Spain, are used as analysis case, showing a performance improvement on the developed model when data are standardized. This improvement is reflected in a reduction of the mean square error. Finally, the models obtained in this document were applied to estimate the water temperature in 2004, in order to provide evidence about their applicability to forecasting purposes.

  2. Mathematical model for HIV spreads control program with ART treatment (United States)

    Maimunah; Aldila, Dipo


    In this article, using a deterministic approach in a seven-dimensional nonlinear ordinary differential equation, we establish a mathematical model for the spread of HIV with an ART treatment intervention. In a simplified model, when no ART treatment is implemented, disease-free and the endemic equilibrium points were established analytically along with the basic reproduction number. The local stability criteria of disease-free equilibrium and the existing criteria of endemic equilibrium were analyzed. We find that endemic equilibrium exists when the basic reproduction number is larger than one. From the sensitivity analysis of the basic reproduction number of the complete model (with ART treatment), we find that the increased number of infected humans who follow the ART treatment program will reduce the basic reproduction number. We simulate this result also in the numerical experiment of the autonomous system to show how treatment intervention impacts the reduction of the infected population during the intervention time period.

  3. Stochastic programming framework for Lithuanian pension payout modelling

    Directory of Open Access Journals (Sweden)

    Audrius Kabašinskas


    Full Text Available The paper provides a scientific approach to the problem of selecting a pension fund by taking into account some specific characteristics of the Lithuanian Republic (LR pension accumulation system. The decision making model, which can be used to plan a long-term pension accrual of the Lithuanian Republic (LR citizens, in an optimal way is presented. This model focuses on factors that influence the sustainability of the pension system selection under macroeconomic, social and demographic uncertainty. The model is formalized as a single stage stochastic optimization problem where the long-term optimal strategy can be obtained based on the possible scenarios generated for a particular participant. Stochastic programming methods allow including the pension fund rebalancing moment and direction of investment, and taking into account possible changes of personal income, changes of society and the global financial market. The collection of methods used to generate scenario trees was found useful to solve strategic planning problems.

  4. Mathematical Modeling of Intestinal Iron Absorption Using Genetic Programming. (United States)

    Colins, Andrea; Gerdtzen, Ziomara P; Nuñez, Marco T; Salgado, J Cristian


    Iron is a trace metal, key for the development of living organisms. Its absorption process is complex and highly regulated at the transcriptional, translational and systemic levels. Recently, the internalization of the DMT1 transporter has been proposed as an additional regulatory mechanism at the intestinal level, associated to the mucosal block phenomenon. The short-term effect of iron exposure in apical uptake and initial absorption rates was studied in Caco-2 cells at different apical iron concentrations, using both an experimental approach and a mathematical modeling framework. This is the first report of short-term studies for this system. A non-linear behavior in the apical uptake dynamics was observed, which does not follow the classic saturation dynamics of traditional biochemical models. We propose a method for developing mathematical models for complex systems, based on a genetic programming algorithm. The algorithm is aimed at obtaining models with a high predictive capacity, and considers an additional parameter fitting stage and an additional Jackknife stage for estimating the generalization error. We developed a model for the iron uptake system with a higher predictive capacity than classic biochemical models. This was observed both with the apical uptake dataset used for generating the model and with an independent initial rates dataset used to test the predictive capacity of the model. The model obtained is a function of time and the initial apical iron concentration, with a linear component that captures the global tendency of the system, and a non-linear component that can be associated to the movement of DMT1 transporters. The model presented in this paper allows the detailed analysis, interpretation of experimental data, and identification of key relevant components for this complex biological process. This general method holds great potential for application to the elucidation of biological mechanisms and their key components in other complex

  5. Recovery Act. Development of a Model Energy Conservation Training Program

    Energy Technology Data Exchange (ETDEWEB)



    The overall objective of this project was to develop an updated model Energy Conservation training program for stationary engineers. This revision to the IUOE National Training Fund’s existing Energy Conservation training curriculum is designed to enable stationary engineers to incorporate essential energy management into routine building operation and maintenance tasks. The curriculum uses a blended learning approach that includes classroom, hands-on, computer simulation and web-based training in addition to a portfolio requirement for a workplace-based learning application. The Energy Conservation training program goal is development of a workforce that can maintain new and existing commercial buildings at optimum energy performance levels. The grant start date was July 6, 2010 and the project continued through September 30, 2012, including a three month non-funded extension.

  6. C++, objected-oriented programming, and astronomical data models (United States)

    Farris, A.


    Contemporary astronomy is characterized by increasingly complex instruments and observational techniques, higher data collection rates, and large data archives, placing severe stress on software analysis systems. The object-oriented paradigm represents a significant new approach to software design and implementation that holds great promise for dealing with this increased complexity. The basic concepts of this approach will be characterized in contrast to more traditional procedure-oriented approaches. The fundamental features of objected-oriented programming will be discussed from a C++ programming language perspective, using examples familiar to astronomers. This discussion will focus on objects, classes and their relevance to the data type system; the principle of information hiding; and the use of inheritance to implement generalization/specialization relationships. Drawing on the object-oriented approach, features of a new database model to support astronomical data analysis will be presented.

  7. Implementing a citizen's DWI reporting program using the Extra Eyes model (United States)


    This manual is a guide for law enforcement agencies and community organizations in creating and implementing a citizens DWI reporting program in their communities modeling the Operation Extra Eyes program. Extra Eyes is a program that engages volu...

  8. Optimal timing of joint replacement using mathematical programming and stochastic programming models. (United States)

    Keren, Baruch; Pliskin, Joseph S


    The optimal timing for performing radical medical procedures as joint (e.g., hip) replacement must be seriously considered. In this paper we show that under deterministic assumptions the optimal timing for joint replacement is a solution of a mathematical programming problem, and under stochastic assumptions the optimal timing can be formulated as a stochastic programming problem. We formulate deterministic and stochastic models that can serve as decision support tools. The results show that the benefit from joint replacement surgery is heavily dependent on timing. Moreover, for a special case where the patient's remaining life is normally distributed along with a normally distributed survival of the new joint, the expected benefit function from surgery is completely solved. This enables practitioners to draw the expected benefit graph, to find the optimal timing, to evaluate the benefit for each patient, to set priorities among patients and to decide if joint replacement should be performed and when.

  9. Architecture and Programming Models for High Performance Intensive Computation (United States)


    written in funJava, a functional programming language. • Implement selected test programs in funJava for demonstrating performance and en- ergy efficiency... Programming language The funJava programming language is a version of standard Java , restricted to a functional subset. This simple functional programming ... programs written in funJava, a functional programming language. • Implement selected test programs in funJava for demonstrating performance and energy

  10. A Stochastic Programming Model for Fuel Treatment Management

    Directory of Open Access Journals (Sweden)

    Mohannad Kabli


    Full Text Available This work considers a two-stage stochastic integer programming (SIP approach for optimizing fuel treatment planning under uncertainty in weather and fire occurrence for rural forests. Given a set of areas for potentially performing fuel treatment, the problem is to decide the best treatment option for each area under uncertainty in future weather and fire occurrence. A two-stage SIP model is devised whose objective is to minimize the here-and-now cost of fuel treatment in the first-stage, plus the expected future costs due to uncertain impact from potential fires in the second-stage calculated as ecosystem services losses. The model considers four fuel treatment options: no treatment, mechanical thinning, prescribed fire, and grazing. Several constraints such as budgetary and labor constraints are included in the model and a standard fire behavior model is used to estimate some of the parameters of the model such as fuel levels at the beginning of the fire season. The SIP model was applied to data for a study area in East Texas with 15 treatment areas under different weather scenarios. The results of the study show, for example, that unless the expected ecosystem services values for an area outweigh fuel treatment costs, no treatment is the best choice for the area. Thus the valuation of the area together with the probability of fire occurrence and behavior strongly drive fuel treatment choices.


    Directory of Open Access Journals (Sweden)

    D. V. Vatlitsov


    Full Text Available The technology evolution creates the prerequisites for the emergence of new informational concept and approaches to the formation of a fundamentally new principles of biological objects understanding. The aim was to study the activators of the programmed cell death in an isolated system model. Cell culture aging parameters were performed on flow cytometer. It had formed the theory that the changes in the concentrations of metal ions and increase their extracellular concentration had formed a negative gradient into the cells.regulation of cell death. It was shown that the metals ions concentrations.

  12. Managing problem employees: a model program and practical guide. (United States)

    Miller, Laurence


    This article presents a model program for managing problem employees that includes a description ofthe basic types of problem employees and employee problems, as well as practical recommendations for. (1) selection and screening, (2) education and training, (3) coaching and counseling, (4) discipline, (5) psychological fitness-for-duty evaluations, (6) mental health services, (7) termination, and (8) leadership and administrative strategies. Throughout, the emphasis on balancing the need for order and productivity in the workplace with fairness and concern for employee health and well-being.

  13. Groundwater modelling of Aespoe using the ECLIPSE program

    Energy Technology Data Exchange (ETDEWEB)

    Wokil, H.


    The pre-investigations indicated that the dominant rocks ranged in composition from true granite to dioritic or gabbroic rocks. In conjunction with these investigations at the area, a number of indications were obtained of high transmissive fracture zones. To be able to understand the fracture zone NE-1 as well as possible, a number of hydraulic tests were performed, for example a tracer test. The program ECLIPSE 100 is one of the standard programs in the oil industry which is used to simulate oil fields. ECLIPSE 100 is a multi-facility simulator and it can be used to simulate 1, 2 and 3 phase systems, one option is oil, two phase options are oil/gas, oil/water or gas/water, and the third option is oil/gas/water. Good results were obtained from the simulator match of the tracer concentration versus time to the measured values from the tracer test of the fracture zone NE-1. The simulation was less successful in modelling the draw-down of water in the wells. We were also unable to reach a balance situation for the water pressure prior to injecting the tracer in order to accommodate several weeks of leakage into the tunnel prior to the tracer test. As a main conclusion, we found the results of the simulation to be satisfactory and we believe that further work should be done to adapt the program completely for groundwater simulation. 19 refs, 10 tabs, 13 figs.

  14. Cooperative Fish and Wildlife Research Units - A model partnership program (United States)

    Dennerline, Donald E.; Childs, Dawn E.


    The U.S. Geological Survey (USGS) Cooperative Fish and Wildlife Research Units (CRU) program is a unique model of cooperative partnership among the USGS, other U.S. Department of the Interior and Federal agencies, universities, State fish and wildlife agencies, and the Wildlife Management Institute. These partnerships are maintained as one of the USGS’s strongest links to Federal and State land and natural resource management agencies.Established in 1935 to meet the need for trained professionals in the growing field of wildlife management, the program currently consists of 40 Cooperative Fish and Wildlife Research Units located on university campuses in 38 States and supports 119 research scientist positions when fully funded. The threefold mission of the CRU program is to (1) conduct scientific research for the management of fish, wildlife, and other natural resources; (2) provide technical assistance to natural resource managers in the application of scientific information to natural resource policy and management; and (3) train future natural resource professionals.

  15. Faculty development program models to advance teaching and learning within health science programs. (United States)

    Lancaster, Jason W; Stein, Susan M; MacLean, Linda Garrelts; Van Amburgh, Jenny; Persky, Adam M


    Within health science programs there has been a call for more faculty development, particularly for teaching and learning. The primary objectives of this review were to describe the current landscape for faculty development programs for teaching and learning and make recommendations for the implementation of new faculty development programs. A thorough search of the pertinent health science databases was conducted, including the Education Resource Information Center (ERIC), MEDLINE, and EMBASE, and faculty development books and relevant information found were reviewed in order to provide recommendations for best practices. Faculty development for teaching and learning comes in a variety of forms, from individuals charged to initiate activities to committees and centers. Faculty development has been effective in improving faculty perceptions on the value of teaching, increasing motivation and enthusiasm for teaching, increasing knowledge and behaviors, and disseminating skills. Several models exist that can be implemented to support faculty teaching development. Institutions need to make informed decisions about which plan could be most successfully implemented in their college or school.

  16. Integer programming model for optimizing bus timetable using genetic algorithm (United States)

    Wihartiko, F. D.; Buono, A.; Silalahi, B. P.


    Bus timetable gave an information for passengers to ensure the availability of bus services. Timetable optimal condition happened when bus trips frequency could adapt and suit with passenger demand. In the peak time, the number of bus trips would be larger than the off-peak time. If the number of bus trips were more frequent than the optimal condition, it would make a high operating cost for bus operator. Conversely, if the number of trip was less than optimal condition, it would make a bad quality service for passengers. In this paper, the bus timetabling problem would be solved by integer programming model with modified genetic algorithm. Modification was placed in the chromosomes design, initial population recovery technique, chromosomes reconstruction and chromosomes extermination on specific generation. The result of this model gave the optimal solution with accuracy 99.1%.

  17. ModelArchiver—A program for facilitating the creation of groundwater model archives (United States)

    Winston, Richard B.


    ModelArchiver is a program designed to facilitate the creation of groundwater model archives that meet the requirements of the U.S. Geological Survey (USGS) policy (Office of Groundwater Technical Memorandum 2016.02,, ModelArchiver version 1.0 leads the user step-by-step through the process of creating a USGS groundwater model archive. The user specifies the contents of each of the subdirectories within the archive and provides descriptions of the archive contents. Descriptions of some files can be specified automatically using file extensions. Descriptions also can be specified individually. Those descriptions are added to a readme.txt file provided by the user. ModelArchiver moves the content of the archive to the archive folder and compresses some folders into .zip files.As part of the archive, the modeler must create a metadata file describing the archive. The program has a built-in metadata editor and provides links to websites that can aid in creation of the metadata. The built-in metadata editor is also available as a stand-alone program named FgdcMetaEditor version 1.0, which also is described in this report. ModelArchiver updates the metadata file provided by the user with descriptions of the files in the archive. An optional archive list file generated automatically by ModelMuse can streamline the creation of archives by identifying input files, output files, model programs, and ancillary files for inclusion in the archive.

  18. Optimizing Crawler4j using MapReduce Programming Model (United States)

    Siddesh, G. M.; Suresh, Kavya; Madhuri, K. Y.; Nijagal, Madhushree; Rakshitha, B. R.; Srinivasa, K. G.


    World wide web is a decentralized system that consists of a repository of information on the basis of web pages. These web pages act as a source of information or data in the present analytics world. Web crawlers are used for extracting useful information from web pages for different purposes. Firstly, it is used in web search engines where the web pages are indexed to form a corpus of information and allows the users to query on the web pages. Secondly, it is used for web archiving where the web pages are stored for later analysis phases. Thirdly, it can be used for web mining where the web pages are monitored for copyright purposes. The amount of information processed by the web crawler needs to be improved by using the capabilities of modern parallel processing technologies. In order to solve the problem of parallelism and the throughput of crawling this work proposes to optimize the Crawler4j using the Hadoop MapReduce programming model by parallelizing the processing of large input data. Crawler4j is a web crawler that retrieves useful information about the pages that it visits. The crawler Crawler4j coupled with data and computational parallelism of Hadoop MapReduce programming model improves the throughput and accuracy of web crawling. The experimental results demonstrate that the proposed solution achieves significant improvements with respect to performance and throughput. Hence the proposed approach intends to carve out a new methodology towards optimizing web crawling by achieving significant performance gain.

  19. Replacement model of city bus: A dynamic programming approach (United States)

    Arifin, Dadang; Yusuf, Edhi


    This paper aims to develop a replacement model of city bus vehicles operated in Bandung City. This study is driven from real cases encountered by the Damri Company in the efforts to improve services to the public. The replacement model propounds two policy alternatives: First, to maintain or keep the vehicles, and second is to replace them with new ones taking into account operating costs, revenue, salvage value, and acquisition cost of a new vehicle. A deterministic dynamic programming approach is used to solve the model. The optimization process was heuristically executed using empirical data of Perum Damri. The output of the model is to determine the replacement schedule and the best policy if the vehicle has passed the economic life. Based on the results, the technical life of the bus is approximately 20 years old, while the economic life is an average of 9 (nine) years. It means that after the bus is operated for 9 (nine) years, managers should consider the policy of rejuvenation.

  20. Parallel phase model : a programming model for high-end parallel machines with manycores.

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Junfeng (Syracuse University, Syracuse, NY); Wen, Zhaofang; Heroux, Michael Allen; Brightwell, Ronald Brian


    This paper presents a parallel programming model, Parallel Phase Model (PPM), for next-generation high-end parallel machines based on a distributed memory architecture consisting of a networked cluster of nodes with a large number of cores on each node. PPM has a unified high-level programming abstraction that facilitates the design and implementation of parallel algorithms to exploit both the parallelism of the many cores and the parallelism at the cluster level. The programming abstraction will be suitable for expressing both fine-grained and coarse-grained parallelism. It includes a few high-level parallel programming language constructs that can be added as an extension to an existing (sequential or parallel) programming language such as C; and the implementation of PPM also includes a light-weight runtime library that runs on top of an existing network communication software layer (e.g. MPI). Design philosophy of PPM and details of the programming abstraction are also presented. Several unstructured applications that inherently require high-volume random fine-grained data accesses have been implemented in PPM with very promising results.

  1. Changing community health behaviors: a model for program development and management. (United States)

    Hargreaves, M R; Laitakari, J K; Huff, F; Rautaharju, P M


    A model has been proposed to improve program development and management of behavior change programs with large-scale community impact. It can be applied to epidemiologic problems of which lifestyle is an important component, such as heart disease, adolescent pregnancy, hypertension, weight control, and cancer control and prevention programs. The model combines two previously existing models: one indicating that program development is an ongoing cyclical process which starts with uncertainty yet can progress to institutionalization with suitable testing; and the second model indicating that program management within each developmental cycle progresses through specific phases which can be hampered by plateaus and setbacks. Nine systems are essential for program development and operations: education (philosophy, objectives, and content), communications, reward, intervention, program process, program development, and program evaluation. These systems can be used as a guide to facilitate selection from the many guidelines recommended in the literature, and to ensure coordination of innovative program elements.

  2. A sample theory-based logic model to improve program development, implementation, and sustainability of Farm to School programs. (United States)

    Ratcliffe, Michelle M


    Farm to School programs hold promise to address childhood obesity. These programs may increase students’ access to healthier foods, increase students’ knowledge of and desire to eat these foods, and increase their consumption of them. Implementing Farm to School programs requires the involvement of multiple people, including nutrition services, educators, and food producers. Because these groups have not traditionally worked together and each has different goals, it is important to demonstrate how Farm to School programs that are designed to decrease childhood obesity may also address others’ objectives, such as academic achievement and economic development. A logic model is an effective tool to help articulate a shared vision for how Farm to School programs may work to accomplish multiple goals. Furthermore, there is evidence that programs based on theory are more likely to be effective at changing individuals’ behaviors. Logic models based on theory may help to explain how a program works, aid in efficient and sustained implementation, and support the development of a coherent evaluation plan. This article presents a sample theory-based logic model for Farm to School programs. The presented logic model is informed by the polytheoretical model for food and garden-based education in school settings (PMFGBE). The logic model has been applied to multiple settings, including Farm to School program development and evaluation in urban and rural school districts. This article also includes a brief discussion on the development of the PMFGBE, a detailed explanation of how Farm to School programs may enhance the curricular, physical, and social learning environments of schools, and suggestions for the applicability of the logic model for practitioners, researchers, and policy makers.

  3. Optimizing Biorefinery Design and Operations via Linear Programming Models

    Energy Technology Data Exchange (ETDEWEB)

    Talmadge, Michael; Batan, Liaw; Lamers, Patrick; Hartley, Damon; Biddy, Mary; Tao, Ling; Tan, Eric


    The ability to assess and optimize economics of biomass resource utilization for the production of fuels, chemicals and power is essential for the ultimate success of a bioenergy industry. The team of authors, consisting of members from the National Renewable Energy Laboratory (NREL) and the Idaho National Laboratory (INL), has developed simple biorefinery linear programming (LP) models to enable the optimization of theoretical or existing biorefineries. The goal of this analysis is to demonstrate how such models can benefit the developing biorefining industry. It focuses on a theoretical multi-pathway, thermochemical biorefinery configuration and demonstrates how the biorefinery can use LP models for operations planning and optimization in comparable ways to the petroleum refining industry. Using LP modeling tools developed under U.S. Department of Energy's Bioenergy Technologies Office (DOE-BETO) funded efforts, the authors investigate optimization challenges for the theoretical biorefineries such as (1) optimal feedstock slate based on available biomass and prices, (2) breakeven price analysis for available feedstocks, (3) impact analysis for changes in feedstock costs and product prices, (4) optimal biorefinery operations during unit shutdowns / turnarounds, and (5) incentives for increased processing capacity. These biorefinery examples are comparable to crude oil purchasing and operational optimization studies that petroleum refiners perform routinely using LPs and other optimization models. It is important to note that the analyses presented in this article are strictly theoretical and they are not based on current energy market prices. The pricing structure assigned for this demonstrative analysis is consistent with $4 per gallon gasoline, which clearly assumes an economic environment that would favor the construction and operation of biorefineries. The analysis approach and examples provide valuable insights into the usefulness of analysis tools for

  4. A Model Intervention Program for Secondary School Education

    Directory of Open Access Journals (Sweden)

    Brian Gerber


    Full Text Available Valdosta State University and the Valdosta City Schools (Valdosta, GA partnered in 2008 to form the Valdosta Early College Academy (VECA. VECA epitomizes the early college concept of (a admitting underperforming students with multiple risk factors for dropping out of school (e.g., low socioeconomic status, minority, and first-generation high school or college and (b providing college level dual enrollment courses. VECA is very different than nearly every other early college school in the nation. Most (85% of the 200 early colleges currently operating in the United States begin with students in the 9th grade. Nearly all of the remaining early colleges begin with 7th grade; only a few are 6–12-grade schools. VECA targets two primary priorities, (a innovations that complement the implementation of higher standards and high-quality assessments and (b innovations that support college access and success. The primary purpose of this paper is to chronicle the genesis and development of VECA. This program is very successful, replete with research opportunities, and represents a model early college program. We plan to continue to grow VECA to ultimately include grades six through twelve and to research that growth and development.

  5. Minnesota 4-H Youth Program Quality Improvement Model (United States)

    Herman, Margo; Grant, Samantha


    The University of Minnesota Extension Center for Youth Development made an organizational decision in 2011 to invest in a system-wide approach to implement youth program quality into the 4-H program using the Youth Program Quality Assessment (YPQA) tool. This article describes the four key components to the Minnesota Youth Program Quality…

  6. A Tool for Performance Modeling of Parallel Programs

    Directory of Open Access Journals (Sweden)

    J.A. González


    Full Text Available Current performance prediction analytical models try to characterize the performance behavior of actual machines through a small set of parameters. In practice, substantial deviations are observed. These differences are due to factors as memory hierarchies or network latency. A natural approach is to associate a different proportionality constant with each basic block, and analogously, to associate different latencies and bandwidths with each "communication block". Unfortunately, to use this approach implies that the evaluation of parameters must be done for each algorithm. This is a heavy task, implying experiment design, timing, statistics, pattern recognition and multi-parameter fitting algorithms. Software support is required. We present a compiler that takes as source a C program annotated with complexity formulas and produces as output an instrumented code. The trace files obtained from the execution of the resulting code are analyzed with an interactive interpreter, giving us, among other information, the values of those parameters.

  7. A Model Program for Translational Medicine in Epilepsy Genetics (United States)

    Smith, Lacey A.; Ullmann, Jeremy F. P.; Olson, Heather E.; El Achkar, Christelle M.; Truglio, Gessica; Kelly, McKenna; Rosen-Sheidley, Beth; Poduri, Annapurna


    Recent technological advances in gene sequencing have led to a rapid increase in gene discovery in epilepsy. However, the ability to assess pathogenicity of variants, provide functional analysis, and develop targeted therapies has not kept pace with rapid advances in sequencing technology. Thus, although clinical genetic testing may lead to a specific molecular diagnosis for some patients, test results often lead to more questions than answers. As the field begins to focus on therapeutic applications of genetic diagnoses using precision medicine, developing processes that offer more than equivocal test results is essential. The success of precision medicine in epilepsy relies on establishing a correct genetic diagnosis, analyzing functional consequences of genetic variants, screening potential therapeutics in the preclinical laboratory setting, and initiating targeted therapy trials for patients. We describe the structure of a comprehensive, pediatric Epilepsy Genetics Program that can serve as a model for translational medicine in epilepsy. PMID:28056630

  8. A Model Program for Translational Medicine in Epilepsy Genetics. (United States)

    Smith, Lacey A; Ullmann, Jeremy F P; Olson, Heather E; Achkar, Christelle M El; Truglio, Gessica; Kelly, McKenna; Rosen-Sheidley, Beth; Poduri, Annapurna


    Recent technological advances in gene sequencing have led to a rapid increase in gene discovery in epilepsy. However, the ability to assess pathogenicity of variants, provide functional analysis, and develop targeted therapies has not kept pace with rapid advances in sequencing technology. Thus, although clinical genetic testing may lead to a specific molecular diagnosis for some patients, test results often lead to more questions than answers. As the field begins to focus on therapeutic applications of genetic diagnoses using precision medicine, developing processes that offer more than equivocal test results is essential. The success of precision medicine in epilepsy relies on establishing a correct genetic diagnosis, analyzing functional consequences of genetic variants, screening potential therapeutics in the preclinical laboratory setting, and initiating targeted therapy trials for patients. The authors describe the structure of a comprehensive, pediatric Epilepsy Genetics Program that can serve as a model for translational medicine in epilepsy.

  9. Remote programming of cochlear implants: a telecommunications model. (United States)

    McElveen, John T; Blackburn, Erin L; Green, J Douglas; McLear, Patrick W; Thimsen, Donald J; Wilson, Blake S


    Evaluate the effectiveness of remote programming for cochlear implants. Retrospective review of the cochlear implant performance for patients who had undergone mapping and programming of their cochlear implant via remote connection through the Internet. Postoperative Hearing in Noise Test and Consonant/Nucleus/Consonant word scores for 7 patients who had undergone remote mapping and programming of their cochlear implant were compared with the mean scores of 7 patients who had been programmed by the same audiologist over a 12-month period. Times required for remote and direct programming were also compared. The quality of the Internet connection was assessed using standardized measures. Remote programming was performed via a virtual private network with a separate software program used for video and audio linkage. All 7 patients were programmed successfully via remote connectivity. No untoward patient experiences were encountered. No statistically significant differences could be found in comparing postoperative Hearing in Noise Test and Consonant/Nucleus/Consonant word scores for patients who had undergone remote programming versus a similar group of patients who had their cochlear implant programmed directly. Remote programming did not require a significantly longer programming time for the audiologist with these 7 patients. Remote programming of a cochlear implant can be performed safely without any deterioration in the quality of the programming. This ability to remotely program cochlear implant patients gives the potential to extend cochlear implantation to underserved areas in the United States and elsewhere.

  10. Simulation model for wind energy storage systems. Volume III. Program descriptions. [SIMWEST CODE

    Energy Technology Data Exchange (ETDEWEB)

    Warren, A.W.; Edsinger, R.W.; Burroughs, J.D.


    The effort developed a comprehensive computer program for the modeling of wind energy/storage systems utilizing any combination of five types of storage (pumped hydro, battery, thermal, flywheel and pneumatic). An acronym for the program is SIMWEST (Simulation Model for Wind Energy Storage). The level of detail of SIMWEST is consistent with a role of evaluating the economic feasibility as well as the general performance of wind energy systems. The software package consists of two basic programs and a library of system, environmental, and load components. Volume III, the SIMWEST program description contains program descriptions, flow charts and program listings for the SIMWEST Model Generation Program, the Simulation program, the File Maintenance program and the Printer Plotter program. Volume III generally would not be required by SIMWEST user.

  11. A Program Evaluation Model: Using Bloom's Taxonomy to Identify Outcome Indicators in Outcomes-Based Program Evaluations (United States)

    McNeil, Rita C.


    Outcomes-based program evaluation is a systematic approach to identifying outcome indicators and measuring results against those indicators. One dimension of program evaluation is assessing the level of learner acquisition to determine if learning objectives were achieved as intended. The purpose of the proposed model is to use Bloom's Taxonomy to…

  12. Linear programming model can explain respiration of fermentation products.

    Directory of Open Access Journals (Sweden)

    Philip Möller

    Full Text Available Many differentiated cells rely primarily on mitochondrial oxidative phosphorylation for generating energy in the form of ATP needed for cellular metabolism. In contrast most tumor cells instead rely on aerobic glycolysis leading to lactate to about the same extent as on respiration. Warburg found that cancer cells to support oxidative phosphorylation, tend to ferment glucose or other energy source into lactate even in the presence of sufficient oxygen, which is an inefficient way to generate ATP. This effect also occurs in striated muscle cells, activated lymphocytes and microglia, endothelial cells and several mammalian cell types, a phenomenon termed the "Warburg effect". The effect is paradoxical at first glance because the ATP production rate of aerobic glycolysis is much slower than that of respiration and the energy demands are better to be met by pure oxidative phosphorylation. We tackle this question by building a minimal model including three combined reactions. The new aspect in extension to earlier models is that we take into account the possible uptake and oxidation of the fermentation products. We examine the case where the cell can allocate protein on several enzymes in a varying distribution and model this by a linear programming problem in which the objective is to maximize the ATP production rate under different combinations of constraints on enzymes. Depending on the cost of reactions and limitation of the substrates, this leads to pure respiration, pure fermentation, and a mixture of respiration and fermentation. The model predicts that fermentation products are only oxidized when glucose is scarce or its uptake is severely limited.

  13. The New York State Bird Conservation Area (BCA) Program: A Model for the United States (United States)

    M. F. Burger; D. J. Adams; T. Post; L. Sommers; B. Swift


    The New York State Bird Conservation Area (BCA) Program, modeled after the National Audubon Society?s Important Bird Areas Program, is based on legislation signed by Governor Pataki in 1997. New York is the first state in the nation to enact such a program. The BCA Program seeks to provide a comprehensive, ecosystem approach to conserving birds and their habitats on...

  14. Fish Processed Production Planning Using Integer Stochastic Programming Model (United States)

    Firmansyah, Mawengkang, Herman


    Fish and its processed products are the most affordable source of animal protein in the diet of most people in Indonesia. The goal in production planning is to meet customer demand over a fixed time horizon divided into planning periods by optimizing the trade-off between economic objectives such as production cost and customer satisfaction level. The major decisions are production and inventory levels for each product and the number of workforce in each planning period. In this paper we consider the management of small scale traditional business at North Sumatera Province which performs processing fish into several local seafood products. The inherent uncertainty of data (e.g. demand, fish availability), together with the sequential evolution of data over time leads the production planning problem to a nonlinear mixed-integer stochastic programming model. We use scenario generation based approach and feasible neighborhood search for solving the model. The results which show the amount of each fish processed product and the number of workforce needed in each horizon planning are presented.

  15. Marketing for a Web-Based Master's Degree Program in Light of Marketing Mix Model (United States)

    Pan, Cheng-Chang


    The marketing mix model was applied with a focus on Web media to re-strategize a Web-based Master's program in a southern state university in U.S. The program's existing marketing strategy was examined using the four components of the model: product, price, place, and promotion, in hopes to repackage the program (product) to prospective students…

  16. The Component Model of Infrastructure: A Practical Approach to Understanding Public Health Program Infrastructure (United States)

    Snyder, Kimberly; Rieker, Patricia P.


    Functioning program infrastructure is necessary for achieving public health outcomes. It is what supports program capacity, implementation, and sustainability. The public health program infrastructure model presented in this article is grounded in data from a broader evaluation of 18 state tobacco control programs and previous work. The newly developed Component Model of Infrastructure (CMI) addresses the limitations of a previous model and contains 5 core components (multilevel leadership, managed resources, engaged data, responsive plans and planning, networked partnerships) and 3 supporting components (strategic understanding, operations, contextual influences). The CMI is a practical, implementation-focused model applicable across public health programs, enabling linkages to capacity, sustainability, and outcome measurement. PMID:24922125

  17. Visual Environment for Rich Data Interpretation (VERDI) program for environmental modeling systems (United States)

    VERDI is a flexible, modular, Java-based program used for visualizing multivariate gridded meteorology, emissions and air quality modeling data created by environmental modeling systems such as the CMAQ model and WRF.

  18. An abort-aware model of transactional programming


    Etessami, Kousha; Godefroid, Patrice


    There has been a lot of recent research on transaction-based concurrent programming, aimed at offering an easier concurrent programming paradigm that enables programmers to better exploit the parallelism of modern multi-processor machines, such as multi-core microprocessors. We introduce Transactional State Machines (TSMs) as an abstract finite-datamodel of transactional shared-memory concurrent programs. TSMs are a variant of concurrent boolean programs (or concurrent extended recursive stat...

  19. The Father Friendly Initiative within Families: Using a logic model to develop program theory for a father support program. (United States)

    Gervais, Christine; de Montigny, Francine; Lacharité, Carl; Dubeau, Diane


    The transition to fatherhood, with its numerous challenges, has been well documented. Likewise, fathers' relationships with health and social services have also begun to be explored. Yet despite the problems fathers experience in interactions with healthcare services, few programs have been developed for them. To explain this, some authors point to the difficulty practitioners encounter in developing and structuring the theory of programs they are trying to create to promote and support father involvement (Savaya, R., & Waysman, M. (2005). Administration in Social Work, 29(2), 85), even when such theory is key to a program's effectiveness (Chen, H.-T. (2005). Practical program evaluation. Thousand Oaks, CA: Sage Publications). The objective of the present paper is to present a tool, the logic model, to bridge this gap and to equip practitioners for structuring program theory. This paper addresses two questions: (1) What would be a useful instrument for structuring the development of program theory in interventions for fathers? (2) How would the concepts of a father involvement program best be organized? The case of the Father Friendly Initiative within Families (FFIF) program is used to present and illustrate six simple steps for developing a logic model that are based on program theory and demonstrate its relevance. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.

  20. Development of a Program Logic Model and Evaluation Plan for a Participatory Ergonomics Intervention in Construction (United States)

    Jaegers, Lisa; Dale, Ann Marie; Weaver, Nancy; Buchholz, Bryan; Welch, Laura; Evanoff, Bradley


    Background Intervention studies in participatory ergonomics (PE) are often difficult to interpret due to limited descriptions of program planning and evaluation. Methods In an ongoing PE program with floor layers, we developed a logic model to describe our program plan, and process and summative evaluations designed to describe the efficacy of the program. Results The logic model was a useful tool for describing the program elements and subsequent modifications. The process evaluation measured how well the program was delivered as intended, and revealed the need for program modifications. The summative evaluation provided early measures of the efficacy of the program as delivered. Conclusions Inadequate information on program delivery may lead to erroneous conclusions about intervention efficacy due to Type III error. A logic model guided the delivery and evaluation of our intervention and provides useful information to aid interpretation of results. PMID:24006097

  1. A Model for Evaluating Mental Health Programs: The Functional Baseline System. (United States)

    Krowinski, William J.; Fitt, David X.


    This paper presents an evaluation model for a partial hospitalization program. The evaluation instrument, the Functional Baseline System (FBS), is presented with its use in assessing program effectiveness and efficiency. (Author)

  2. Education Model Program on Water-Energy Research: A New STEM Graduate Program from Development through Evaluation (United States)

    McCay, D.; Fiorenza, P.; Lautz, L.


    More than half of Ph.D. scientists and engineers find employment in non-academic sectors. Recognizing the range of career options for graduate degree holders and the need to align graduate education with the expectations of prospective employers, the National Science Foundation (NSF) created the NSF Research Traineeship (NRT) program. To date, over 100 NRT programs have been funded. As these programs are implemented, it is important to assess their progress, successes, and challenges. This presentation describes the ongoing evaluation of one NRT program, "Education Model Program on Water-Energy Research" (or EMPOWER) at Syracuse University. Through seminars, mini-grants, professional development activities, field courses, internship opportunities, and coursework, EMPOWER's goal is to equip students with the skills needed for the range of career options in water and energy. In collaboration with an external evaluator, EMPOWER is examining the fidelity of the program to proposed goals, providing feedback to inform project improvement (formative assessment) and assessing the effectiveness of achieving program goals (summative assessment). Using a convergent parallel mixed method design, qualitative and quantitative data were collected to develop a full assessment of the first year of the program. Evaluation findings have resulted in several positive changes to the program. For example, EMPOWER students perceive themselves to have high technical skills, but the data show that the students do not believe that they have a strong professional network. Based on those findings, EMPOWER offered several professional development events focused on building one's professional network. Preliminary findings have enabled the EMPOWER leadership team to make informed decisions about the ways the program elements can be redesigned to better meet student needs, about how to the make the program more effective, and determine the program elements that may be sustained beyond the funding

  3. From Safety Critical Java Programs to Timed Process Models

    DEFF Research Database (Denmark)

    Thomsen, Bent; Luckow, Kasper Søe; Thomsen, Lone Leth


    The idea of analysing real programs by process algebraic methods probably goes back to the Occam language using the CSP process algebra [43]. In [16,24] Degano et al. followed in that tradition by analysing Mobile Agent Programs written in the Higher Order Functional, Concurrent and Distributed......, programming language Facile [47], by equipping Facile with a process algebraic semantics based on true concurrency. This semantics facilitated analysis of programs revealing subtle bugs that would otherwise be very hard to find. Inspired by the idea of translating real programs into process algebraic...

  4. Reliability in the Power System Modeled in a Multi- Stage Stochastic Mixed Integer Programming Model

    DEFF Research Database (Denmark)

    Simonsen Nielsen, Michael Pascal

    Contributions from this article are that it takes the characteristics of the power system into account at different stages, which gives a more realistic presentation of the welfare aspects to be gained by an optimal operation/ dispatch of the power system. This article is utilizing a Multi......-Stage Stochastic Mixed Integer Programming Model that handles uncertainty in a flexible and practical way. The method applied relies on state-of-the-art modeling within this field, but the method applied in this article is extended by using decomposition....

  5. EvoBuild: A Quickstart Toolkit for Programming Agent-Based Models of Evolutionary Processes (United States)

    Wagh, Aditi; Wilensky, Uri


    Extensive research has shown that one of the benefits of programming to learn about scientific phenomena is that it facilitates learning about mechanisms underlying the phenomenon. However, using programming activities in classrooms is associated with costs such as requiring additional time to learn to program or students needing prior experience with programming. This paper presents a class of programming environments that we call quickstart: Environments with a negligible threshold for entry into programming and a modest ceiling. We posit that such environments can provide benefits of programming for learning without incurring associated costs for novice programmers. To make this claim, we present a design-based research study conducted to compare programming models of evolutionary processes with a quickstart toolkit with exploring pre-built models of the same processes. The study was conducted in six seventh grade science classes in two schools. Students in the programming condition used EvoBuild, a quickstart toolkit for programming agent-based models of evolutionary processes, to build their NetLogo models. Students in the exploration condition used pre-built NetLogo models. We demonstrate that although students came from a range of academic backgrounds without prior programming experience, and all students spent the same number of class periods on the activities including the time students took to learn programming in this environment, EvoBuild students showed greater learning about evolutionary mechanisms. We discuss the implications of this work for design research on programming environments in K-12 science education.

  6. EvoBuild: A Quickstart Toolkit for Programming Agent-Based Models of Evolutionary Processes (United States)

    Wagh, Aditi; Wilensky, Uri


    Extensive research has shown that one of the benefits of programming to learn about scientific phenomena is that it facilitates learning about mechanisms underlying the phenomenon. However, using programming activities in classrooms is associated with costs such as requiring additional time to learn to program or students needing prior experience with programming. This paper presents a class of programming environments that we call quickstart: Environments with a negligible threshold for entry into programming and a modest ceiling. We posit that such environments can provide benefits of programming for learning without incurring associated costs for novice programmers. To make this claim, we present a design-based research study conducted to compare programming models of evolutionary processes with a quickstart toolkit with exploring pre-built models of the same processes. The study was conducted in six seventh grade science classes in two schools. Students in the programming condition used EvoBuild, a quickstart toolkit for programming agent-based models of evolutionary processes, to build their NetLogo models. Students in the exploration condition used pre-built NetLogo models. We demonstrate that although students came from a range of academic backgrounds without prior programming experience, and all students spent the same number of class periods on the activities including the time students took to learn programming in this environment, EvoBuild students showed greater learning about evolutionary mechanisms. We discuss the implications of this work for design research on programming environments in K-12 science education.

  7. Risk assessment to an integrated planning model for UST programs

    International Nuclear Information System (INIS)

    Ferguson, K.W.


    The US Postal Service maintains the largest civilian fleet in the United States totaling approximately 180,000 vehicles. To support the fleets daily energy requirements, the Postal Service also operates one of the largest networks of underground storage tanks nearly 7,500 nationwide. A program to apply risk assessment to planning, budget development and other management actions was implemented during September, 1989. Working closely with a consultant, the postal service developed regulatory and environmental risk criteria and weighting factors for a ranking model. The primary objective was to identify relative risks for each underground tank at individual facilities. Relative risks at each facility were determined central to prioritizing scheduled improvements to the tank network. The survey was conducted on 302 underground tanks in the Northeast Region of the US. An environmental and regulatory risk score was computed for each UST. By ranking the tanks according to their risk score, tanks were classified into management action categories including, but the limited to, underground tank testing, retrofit, repair, replacement and closure

  8. A program for verification of phylogenetic network models. (United States)

    Gunawan, Andreas D M; Lu, Bingxin; Zhang, Louxin


    Genetic material is transferred in a non-reproductive manner across species more frequently than commonly thought, particularly in the bacteria kingdom. On one hand, extant genomes are thus more properly considered as a fusion product of both reproductive and non-reproductive genetic transfers. This has motivated researchers to adopt phylogenetic networks to study genome evolution. On the other hand, a gene's evolution is usually tree-like and has been studied for over half a century. Accordingly, the relationships between phylogenetic trees and networks are the basis for the reconstruction and verification of phylogenetic networks. One important problem in verifying a network model is determining whether or not certain existing phylogenetic trees are displayed in a phylogenetic network. This problem is formally called the tree containment problem. It is NP-complete even for binary phylogenetic networks. We design an exponential time but efficient method for determining whether or not a phylogenetic tree is displayed in an arbitrary phylogenetic network. It is developed on the basis of the so-called reticulation-visible property of phylogenetic networks. A C-program is available for download on∼matzlx/tcp_package Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail:

  9. Modelling and Analysis of Real Time Systems with Logic Programming and Constraints

    DEFF Research Database (Denmark)

    Banda, Gourinath

    to verify the reactive behaviour of concur- rent systems. Computation Tree Logic (CTL) is a temporal property specification language. Logic programming is a general purpose programming language based on predicate logic. In this dissertation, the LHA models are verified by encoding them as con- straint logic...... programs. The constraint logic program (CLP) encoding an LHA model is first specialised and then a concrete minimal model (or possibly an ab- stract minimal model) for the residual program is computed. The abstract minimal model is computed by applying the theory of abstract interpretation. The com- puted...... by a compiler. To facilitate forward and backward reasoning, two different ways to model an LHA are defined. A framework consist- ing of general purpose constraint logic program tools is presented to accomplish the reachability analysis to verify a class of safety and liveness properties. A tool to compute...

  10. Devil is in the details: Using logic models to investigate program process. (United States)

    Peyton, David J; Scicchitano, Michael


    Theory-based logic models are commonly developed as part of requirements for grant funding. As a tool to communicate complex social programs, theory based logic models are an effective visual communication. However, after initial development, theory based logic models are often abandoned and remain in their initial form despite changes in the program process. This paper examines the potential benefits of committing time and resources to revising the initial theory driven logic model and developing detailed logic models that describe key activities to accurately reflect the program and assist in effective program management. The authors use a funded special education teacher preparation program to exemplify the utility of drill down logic models. The paper concludes with lessons learned from the iterative revision process and suggests how the process can lead to more flexible and calibrated program management. Copyright © 2017 Elsevier Ltd. All rights reserved.

  11. Integration of the Hydrologic Simulation Program--FORTRAN (HSPF) Watershed Water Quality Model into the Watershed Modeling System (WMS)

    National Research Council Canada - National Science Library

    Deliman, Patrick


    ...) into the Watershed Modeling System (WMS) was initiated as part of an overall goal of the Water Quality Research Program to provide water quality capabilities within the framework of a comprehensive graphical modeling environment...

  12. Thermal models of buildings. Determination of temperatures, heating and cooling loads. Theories, models and computer programs

    Energy Technology Data Exchange (ETDEWEB)

    Kaellblad, K.


    The need to estimate indoor temperatures, heating or cooling load and energy requirements for buildings arises in many stages of a buildings life cycle, e.g. at the early layout stage, during the design of a building and for energy retrofitting planning. Other purposes are to meet the authorities requirements given in building codes. All these situations require good calculation methods. The main purpose of this report is to present the authors work with problems related to thermal models and calculation methods for determination of temperatures and heating or cooling loads in buildings. Thus the major part of the report deals with treatment of solar radiation in glazing systems, shading of solar and sky radiation and the computer program JULOTTA used to simulate the thermal behavior of rooms and buildings. Other parts of thermal models of buildings are more briefly discussed and included in order to give an overview of existing problems and available solutions. A brief presentation of how thermal models can be built up is also given and it is a hope that the report can be useful as an introduction to this part of building physics as well as during development of calculation methods and computer programs. The report may also serve as a help for the users of energy related programs. Independent of which method or program a user choose to work with it is his or her own responsibility to understand the limits of the tool, else wrong conclusions may be drawn from the results 52 refs, 22 figs, 4 tabs

  13. A generalized threading model using integer programming that allows for secondary structure element deletion. (United States)

    Ellrott, Kyle; Guo, Jun-tao; Olman, Victor; Xu, Ying


    Integer programming is a combinatorial optimization method that has been successfully applied to the protein threading problem. We seek to expand the model optimized by this technique to allow for a more accurate description of protein threading. We have developed and implemented an expanded model of integer programming that has the capability to model secondary structure element deletion, which was not possible in previous version of integer programming based optimization.

  14. CISLUNAR program manual: A low-thrust trajectory determination model (United States)


    CISLUNAR is a stand-alone computer program designed to generate the trajectory of a low-thrust spacecraft travelling in Earth-Moon space. The program allows the creation of functional trajectories dependent on the supplied spacecraft characteristics. The trajectory generation is a user interactive process. The original intent was for the program user to modify the necessary control values until a staisfactory trajectory has been created.

  15. Programming While Construction of Engineering 3D Models of Complex Geometry (United States)

    Kheyfets, A. L.


    The capabilities of geometrically accurate computational 3D models construction with the use of programming are presented. The construction of models of an architectural arch and a glo-boid worm gear is considered as an example. The models are designed in the AutoCAD pack-age. Three programs of construction are given. The first program is for designing a multi-section architectural arch. The control of the arch’s geometry by impacting its main parameters is shown. The second program is for designing and studying the working surface of a globoid gear’s worm. The article shows how to make the animation for this surface’s formation. The third program is for formation of a worm gear cavity surface. The cavity formation dynamics is studied. The programs are written in the AutoLisp programming language. The program texts are provided.

  16. Prenatal programming of sexual partner preference: the ram model. (United States)

    Roselli, C E; Stormshak, F


    In our laboratory, the domestic ram is used as an experimental model to study the early programming of neural mechanisms underlying same-sex partner preference. This interest developed from the observation that approximately 8% of domestic rams are sexually attracted to other rams (male-oriented) in contrast to the majority of rams that are attracted to oestrous ewes (female-oriented). One prominent feature of sexual differentiation in many species is the presence of a sexually dimorphic nucleus (SDN) in the preoptic/anterior hypothalamus that is larger in males than in females. Lesion studies in rats and ferrets implicate the SDN in the expression of sexual preferences. We discovered an ovine SDN (oSDN) in the preoptic/anterior hypothalamus that is smaller in male- than in female-oriented rams and similar in size to the oSDN of ewes. Neurones of the oSDN show abundant aromatase expression that is also reduced in male-oriented compared to female-oriented rams. This observation suggests that sexual partner preferences are neurologically hard-wired and could be influenced by hormones. Aromatase-containing neurones constitute a nascent oSDN as early as day 60 of gestation, which becomes sexually dimorphic by day 135 of gestation when it is two-fold larger in males than in females. Exposure of fetal female lambs to exogenous testosterone from days 30-90 of gestation resulted in a masculinised oSDN. These data demonstrate that the oSDN develops prenatally and may influence adult sexual preferences. Surprisingly, inhibition of aromatase activity in the brain of ram foetuses during the critical period did not interfere with defeminisation of adult sexual partner preference or oSDN volume. These results fail to support an essential role for neural aromatase in the sexual differentiation of sheep brain and behaviour. Thus, we propose that oSDN morphology and male-typical partner preferences may instead be programmed through an androgen receptor mechanism not involving

  17. The Development Study of a Medical Ethics Education Program by Using Simple ISD Model. (United States)

    Kim, Young Jon; Yoo, Hyoo Hyun; Joo, Chan Uhng


    Simple instructional systems design (ISD) model is based on a fast development, usability test, and continuos feedback, which are necessary for educational program development in medical school. This study aims to figure out the usability of Simple ISD model for a medical ethics education program by describing a developmental details of each phase and its evaluation results. Research has been conducted in two steps. First, while researchers participated in the program development by using Simple ISD model, we collected empirical data of each development activities. Second, the developed program was evaluated by students' web-based usability test, a 8-students' focus group interview and 5 faculty members' individual interviews in 4 domains; learning contents, instructional methods and strategies, achievement evaluation, and self-evaluation. Following the circular process of analysis, design, development, and usability test of Simple ISD model, a 10-week medical ethics program covering 9 instructional topics was developed. The average points of response on the developed medical ethics program in 2008 and 2009 are increased from 3.96 to 4.59 and 4.41, respectively. The prospects and limitations of the program are discussed. From a development study of the medical ethics program by using Simple ISD model, we could implement a more usable medical ethics program, and found 4 different usability of the Simple ISD model; the rapid development of educational program, program improvement by continuous feedback, faculty members' engagement in instructional design, and professional development of the faculty members.

  18. Dance Educator Enrichment Program (DEEP): A Model for Professional Development (United States)

    Sofras, Pamela Anderson; Emory-Maier, Ambre


    In 2001, North Carolina Dance Theatre, The University of North Carolina at Charlotte, and the Charlotte-Mecklenburg School system joined forces to create a multidimensional, professional development program for dance professionals (teachers and artists) in the public schools called, The Dance Educator Enrichment Program (DEEP). DEEP was designed…

  19. Building Psychosocial Programming in Geriatrics Fellowships: A Consortium Model (United States)

    Adelman, Ronald D.; Ansell, Pamela; Breckman, Risa; Snow, Caitlin E.; Ehrlich, Amy R.; Greene, Michele G.; Greenberg, Debra F.; Raik, Barrie L.; Raymond, Joshua J.; Clabby, John F.; Fields, Suzanne D.; Breznay, Jennifer B.


    Geriatric psychosocial problems are prevalent and significantly affect the physical health and overall well-being of older adults. Geriatrics fellows require psychosocial education, and yet to date, geriatrics fellowship programs have not developed a comprehensive geriatric psychosocial curriculum. Fellowship programs in the New York tristate area…

  20. The 1995 NRC Ratings of Doctoral Programs: A Hedonic Model. (United States)

    Ehrenberg, Ronald G.; Hurst, Peter J.


    Using the 1995 National Research Council ratings of doctoral programs in 41 fields, a statistical methodology is offered for assessing how measures of program size, faculty seniority, faculty research productivity, and faculty productivity in producing doctoral degrees influenced raters' decisions. Then using data for one field, economics,…

  1. Program MAMLAC : a mathematical model for impacts against crash barriers.

    NARCIS (Netherlands)

    Giavotto, V.


    The digital simulation system that has been developed for impact test against safety barriers has proved to be a valuable tool; it may reduce the cost of a program, or better increase largely the extent of a program without increasing the cost. In fact it may permit to reduce considerably the number

  2. Model Programs for Infants and Toddlers with Handicaps. (United States)

    Karnes, Merle B.; Stayton, Vicki D.

    Part of a volume which explores current issues in service delivery to infants and toddlers (ages birth to 3) with handicapping conditions, this chapter describes the history of the Handicapped Children's Early Education Program (HCEEP) and provides information on exemplary program components based on written responses to a survey of 67 HCEEP…

  3. Identifying Inter-task Communication in Shared Memory Programming Models

    DEFF Research Database (Denmark)

    Larsen, Per; Karlsson, Sven; Madsen, Jan


    Modern computers often use multi-core architectures, cov- ering clusters of homogeneous cores for high performance computing,to heterogeneous architectures typically found in embedded systems. To efficiently program such architectures, it is important to be able to par- tition and map programs onto...... the cores of the architecture. We believe that communication patterns need to become explicit in the source code to make it easier to analyze and partition parallel programs. Extraction of these patterns are difficult to automate due to limitations in compiler techniques when determining the effects...... of pointers. In this paper, we propose an OpenMP extension which allows programmers to explicitly declare the pointer based data-sharing between coarse-grain program parts. We present a dependency directive, expressing the input and output relation between program parts and pointers to shared data, as well...

  4. Updating Linear Schedules with Lowest Cost: a Linear Programming Model (United States)

    Biruk, Sławomir; Jaśkowski, Piotr; Czarnigowska, Agata


    Many civil engineering projects involve sets of tasks repeated in a predefined sequence in a number of work areas along a particular route. A useful graphical representation of schedules of such projects is time-distance diagrams that clearly show what process is conducted at a particular point of time and in particular location. With repetitive tasks, the quality of project performance is conditioned by the ability of the planner to optimize workflow by synchronizing the works and resources, which usually means that resources are planned to be continuously utilized. However, construction processes are prone to risks, and a fully synchronized schedule may expire if a disturbance (bad weather, machine failure etc.) affects even one task. In such cases, works need to be rescheduled, and another optimal schedule should be built for the changed circumstances. This typically means that, to meet the fixed completion date, durations of operations have to be reduced. A number of measures are possible to achieve such reduction: working overtime, employing more resources or relocating resources from less to more critical tasks, but they all come at a considerable cost and affect the whole project. The paper investigates the problem of selecting the measures that reduce durations of tasks of a linear project so that the cost of these measures is kept to the minimum and proposes an algorithm that could be applied to find optimal solutions as the need to reschedule arises. Considering that civil engineering projects, such as road building, usually involve less process types than construction projects, the complexity of scheduling problems is lower, and precise optimization algorithms can be applied. Therefore, the authors put forward a linear programming model of the problem and illustrate its principle of operation with an example.

  5. Using Program Theory Models in Evaluation of Industrial Modernization Programs: Three Case Studies. (United States)

    Torvatn, Hans


    Uses three case studies from Norwegian industrial modernization programs (a formative evaluation, a summative evaluation, and an additionality analysis) to demonstrate the strengths and weaknesses of an evaluation tool called "chains of reasoning." Chains of reasoning uses text and a graphic image to present program activities and goals.…

  6. Higher Education Program Curricula Models in Tourism and Hospitality Education: A Review of the Literature (United States)

    Scotland, Miriam


    The relevancy of program curricula in tourism and hospitality education has been called into question by key stakeholders in light of ongoing changes in the multifaceted tourism and hospitality industry. Various program models have been identified. Program content and quality of student preparedness have been debated. Balance and areas of emphasis…

  7. Using the Improvement-Focused Model to Evaluate an Online Teacher Education Program (United States)

    Snyder, Lisa M.


    The purpose of this evaluation was to determine the effectiveness of an online reading teacher and literacy instructor training program. A mixed-method research design was used in conjunction with the improvement-focused model of program evaluation to help the researcher identify strengths and weaknesses of the program. Overall, data showed the…

  8. A model technology transfer program for independent operators: Kansas Technology Transfer Model (KTTM)

    Energy Technology Data Exchange (ETDEWEB)

    Schoeling, L.G.


    This report describes the development and testing of the Kansas Technology Transfer Model (KTTM) which is to be utilized as a regional model for the development of other technology transfer programs for independent operators throughout oil-producing regions in the US. It describes the linkage of the regional model with a proposed national technology transfer plan, an evaluation technique for improving and assessing the model, and the methodology which makes it adaptable on a regional basis. The report also describes management concepts helpful in managing a technology transfer program. The original Tertiary Oil Recovery Project (TORP) activities, upon which the KTTM is based, were developed and tested for Kansas and have proved to be effective in assisting independent operators in utilizing technology. Through joint activities of TORP and the Kansas Geological Survey (KGS), the KTTM was developed and documented for application in other oil-producing regions. During the course of developing this model, twelve documents describing the implementation of the KTTM were developed as deliverables to DOE. These include: (1) a problem identification (PI) manual describing the format and results of six PI workshops conducted in different areas of Kansas, (2) three technology workshop participant manuals on advanced waterflooding, reservoir description, and personal computer applications, (3) three technology workshop instructor manuals which provides instructor material for all three workshops, (4) three technologies were documented as demonstration projects which included reservoir management, permeability modification, and utilization of a liquid-level acoustic measuring device, (5) a bibliography of all literature utilized in the documents, and (6) a document which describes the KTTM.

  9. FMCSA safety program effectiveness measurement : Intervention Model in fiscal year 2007 (United States)


    This report presents results from FMCSAs Roadside Intervention Model for fiscal year 2007. The model estimates the number of crashes avoided, as well as injuries avoided and lives saved, as a result of the Agencys roadside inspection program. T...

  10. A generic model for evaluation of the Federal Aviation Administration air traffic control specialist training programs. (United States)


    The Systems Analysis Research Unit at the Civil Aeromedical Institute (CAMI) has developed a generic model for Federal Aviation Administration (FAA) Academy training program evaluation. The model will serve as a basis for integrating the total data b...

  11. LDA-Based Unified Topic Modeling for Similar TV User Grouping and TV Program Recommendation. (United States)

    Pyo, Shinjee; Kim, Eunhui; Kim, Munchurl


    Social TV is a social media service via TV and social networks through which TV users exchange their experiences about TV programs that they are viewing. For social TV service, two technical aspects are envisioned: grouping of similar TV users to create social TV communities and recommending TV programs based on group and personal interests for personalizing TV. In this paper, we propose a unified topic model based on grouping of similar TV users and recommending TV programs as a social TV service. The proposed unified topic model employs two latent Dirichlet allocation (LDA) models. One is a topic model of TV users, and the other is a topic model of the description words for viewed TV programs. The two LDA models are then integrated via a topic proportion parameter for TV programs, which enforces the grouping of similar TV users and associated description words for watched TV programs at the same time in a unified topic modeling framework. The unified model identifies the semantic relation between TV user groups and TV program description word groups so that more meaningful TV program recommendations can be made. The unified topic model also overcomes an item ramp-up problem such that new TV programs can be reliably recommended to TV users. Furthermore, from the topic model of TV users, TV users with similar tastes can be grouped as topics, which can then be recommended as social TV communities. To verify our proposed method of unified topic-modeling-based TV user grouping and TV program recommendation for social TV services, in our experiments, we used real TV viewing history data and electronic program guide data from a seven-month period collected by a TV poll agency. The experimental results show that the proposed unified topic model yields an average 81.4% precision for 50 topics in TV program recommendation and its performance is an average of 6.5% higher than that of the topic model of TV users only. For TV user prediction with new TV programs, the average

  12. An OpenACC-Based Unified Programming Model for Multi-accelerator Systems

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jungwon [ORNL; Lee, Seyong [ORNL; Vetter, Jeffrey S [ORNL


    This paper proposes a novel SPMD programming model of OpenACC. Our model integrates the different granularities of parallelism from vector-level parallelism to node-level parallelism into a single, unified model based on OpenACC. It allows programmers to write programs for multiple accelerators using a uniform programming model whether they are in shared or distributed memory systems. We implement a prototype of our model and evaluate its performance with a GPU-based supercomputer using three benchmark applications.

  13. Satin: A high-level and efficient grid programming model

    NARCIS (Netherlands)

    van Nieuwpoort, R.V.; Wrzesinska, G.; Jacobs, C.J.H.; Bal, H.E.


    Computational grids have an enormous potential to provide compute power. However, this power remains largely unexploited today for most applications, except trivially parallel programs. Developing parallel grid applications simply is too difficult. Grids introduce several problems not encountered

  14. Non-linear nuclear engineering models as genetic programming application

    International Nuclear Information System (INIS)

    Domingos, Roberto P.; Schirru, Roberto; Martinez, Aquilino S.


    This work presents a Genetic Programming paradigm and a nuclear application. A field of Artificial Intelligence, based on the concepts of Species Evolution and Natural Selection, can be understood as a self-programming process where the computer is the main agent responsible for the discovery of a program able to solve a given problem. In the present case, the problem was to find a mathematical expression in symbolic form, able to express the existent relation between equivalent ratio of a fuel cell, the enrichment of fuel elements and the multiplication factor. Such expression would avoid repeatedly reactor physics codes execution for core optimization. The results were compared with those obtained by different techniques such as Neural Networks and Linear Multiple Regression. Genetic Programming has shown to present a performance as good as, and under some features superior to Neural Network and Linear Multiple Regression. (author). 10 refs., 8 figs., 1 tabs

  15. Advanced communication system time domain modeling techniques ASYSTD software description. Volume 2: Program support documentation (United States)


    The theoretical basis for the ASYSTD program is discussed in detail. In addition, the extensive bibliography given in this document illustrates some of the extensive work accomplished in the area of time domain simulation. Additions have been in the areas of modeling and language program enhancements, orthogonal transform modeling, error analysis, general filter models, BER measurements, etc. Several models have been developed which utilize the COMSAT generated orthogonal transform algorithms.

  16. Mathematical programming models for classification problems with applications to credit scoring


    Falangis, Konstantinos


    Mathematical programming (MP) can be used for developing classification models for the two–group classification problem. An MP model can be used to generate a discriminant function that separates the observations in a training sample of known group membership into the specified groups optimally in terms of a group separation criterion. The simplest models for MP discriminant analysis are linear programming models in which the group separation measure is generally based on th...

  17. More scalability, less pain: A simple programming model and its implementation for extreme computing

    International Nuclear Information System (INIS)

    Lusk, E.L.; Pieper, S.C.; Butler, R.M.


    This is the story of a simple programming model, its implementation for extreme computing, and a breakthrough in nuclear physics. A critical issue for the future of high-performance computing is the programming model to use on next-generation architectures. Described here is a promising approach: program very large machines by combining a simplified programming model with a scalable library implementation. The presentation takes the form of a case study in nuclear physics. The chosen application addresses fundamental issues in the origins of our Universe, while the library developed to enable this application on the largest computers may have applications beyond this one.

  18. The Displacement Effect of Labour-Market Programs: Estimates from the MONASH Model


    Peter B. Dixon; Maureen T. Rimmer


    A key question concerning labour-market programs is the extent to which they generate jobs for their target group at the expense of others. This effect is measured by displacement percentages. We describe a version of the MONASH model designed to quantify the effects of labour-market programs. Our simulation results suggests that: (1) labour-market programs can generate significant long-run increases in employment; (2) displacement percentages depend on how a labour-market program affects the...

  19. Policy Subsystem Portfolio Management: A Neural Network Model of the Gulf of Mexico Program


    Larkin, George Richard


    This study provides insights into the behavior of an environmental policy subsystem. The study uses neural network theory to model the Gulf of Mexico Program's allocation of implementation funds. The Gulf of Mexico Program is a prototype effort to institutionalize a policy subsystem. A project implementation fund is at the core of the Gulf of Mexico Program. The United States Environmental Protection Agency provides the implementation fund and the Mexico Program Office (GMPO) administers it. ...


    Directory of Open Access Journals (Sweden)

    Y. Gayev


    Full Text Available MATLAB-programs of some discrete random event has been developed and intended (1 as an exercise at the study of Algorithmization and Programming Course, and (2 for carrying out some "experiments" by lecturing the Course of Probability and Statistics Theory, or at its self-study by students. The programs allows to do several probabilistic experiments in a necessary amount M, using the random number generator, to count up frequency of "favorable events" appearance and compare it to theoretical probability. This displays the Law of large numbers, i.e. approaching experimental results to theory with unlimited increase of М. The work, however, lies not only in this pragmatic result. It should encourage students to study problems of Probability Theory by means of creation appropriate computer codes. The most easy and quick way to this leads to MATLAB-environment. That is why the paper suggests principles of programming in it along with creation of graphical user interface (GUI.

  1. A model for the design and programming of multi-cores

    NARCIS (Netherlands)

    Jesshope, C.; Grandinetti, L.


    This paper describes a machine/programming model for the era of multi-core chips. It is derived from the sequential model but replaces sequential composition with concurrent composition at all levels in the program except at the level where the compiler is able to make deterministic decisions on

  2. Evaluation for Community-Based Programs: The Integration of Logic Models and Factor Analysis (United States)

    Helitzer, Deborah; Hollis, Christine; de Hernandez, Brisa Urquieta; Sanders, Margaret; Roybal, Suzanne; Van Deusen, Ian


    Purpose: To discuss the utility of and value of the use of logic models for program evaluation of community-based programs and more specifically, the integration of logic models and factor analysis to develop and revise a survey as part of an effective evaluation plan. Principal results: Diverse stakeholders with varying outlooks used a logic…

  3. MBA in Education Leadership: A Model for Developing an Interdisciplinary Principal Preparation Program (United States)

    Smith, Rachel A.; Somers, John


    This paper presents a model for developing an interdisciplinary principal preparation program, an MBA in Education Leadership, which integrates best practices in both education and business within an educational context. The paper addresses gaps that exist in many traditional principal preparation programs and provides an alternative model, which…

  4. Modeling Mathematical Programs with Equilibrium Constraints in Pyomo

    Energy Technology Data Exchange (ETDEWEB)

    Hart, William E. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Siirola, John Daniel [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)


    We describe new capabilities for modeling MPEC problems within the Pyomo modeling software. These capabilities include new modeling components that represent complementar- ity conditions, modeling transformations for re-expressing models with complementarity con- ditions in other forms, and meta-solvers that apply transformations and numeric optimization solvers to optimize MPEC problems. We illustrate the breadth of Pyomo's modeling capabil- ities for MPEC problems, and we describe how Pyomo's meta-solvers can perform local and global optimization of MPEC problems.

  5. INTERLINE, a railroad routing model: program description and user's manual

    International Nuclear Information System (INIS)

    Peterson, B.E.


    INTERLINE is an interactive computer program that finds likely routes for shipments over the US railroad system. It is based on a shortest path algorithm modified both to reflect the nature of railroad company operations and to accommodate computer resource limitations in dealing with a large transportation network. The first section of the report discusses the nature of railroad operations and routing practices in the United States, including the tendency to concentrate traffic on a limited number of mainlines, the competition for traffic by different companies operating in the same corridors, and the tendency of originating carriers to retain traffic on their systems before transferring it to terminating carriers. The theoretical foundation and operation of shortest path algorithms are described, as well as the techniques used to simulate actual operating practices within this framework. The second section is a user's guide that describes the program operation and data structures, program features, and user access. 11 refs., 11 figs

  6. Stochastic Fractional Programming Approach to a Mean and Variance Model of a Transportation Problem

    Directory of Open Access Journals (Sweden)

    V. Charles


    Full Text Available In this paper, we propose a stochastic programming model, which considers a ratio of two nonlinear functions and probabilistic constraints. In the former, only expected model has been proposed without caring variability in the model. On the other hand, in the variance model, the variability played a vital role without concerning its counterpart, namely, the expected model. Further, the expected model optimizes the ratio of two linear cost functions where as variance model optimize the ratio of two non-linear functions, that is, the stochastic nature in the denominator and numerator and considering expectation and variability as well leads to a non-linear fractional program. In this paper, a transportation model with stochastic fractional programming (SFP problem approach is proposed, which strikes the balance between previous models available in the literature.

  7. Model Kepemimpinan Modern di Program Pascasarjana Universitas Ahmad Dahlan

    Directory of Open Access Journals (Sweden)

    Dwi Sulisworo


    Full Text Available In the management of higher education, demand a change can be done effectively when the leadership and management are well developed. In general, internal conflicts in the education management occurred due to poor leadership. This study is a qualitative study with a phenomenological approach. The subject of the study is Graduate Program of University Ahmad Dahlan which manages five master programs. Determination of each of people which considers his/her competence, knowledge, experience and personal attributes will affect to performance and operational leadership roles, organizational, and public. Cross-departmental activities and external parties become a focus for leadership in achieving the vision and mission of the organization.

  8. Developing a model lifeline protection program for DOE facilities

    International Nuclear Information System (INIS)

    Lowing, A.N.


    A National Lifeline Standard Development Program is currently being conducted by FEMA and NIST. The Department of Energy is following these developments and supplementing them to meet Life-Safety and mission requirements for all DOE facilities as part of the Natural Phenomena Hazards Mitigation Plan. The task will be overseen by a DOE management team with technical guidance provided by a Steering Group of management and operating contractor representatives. The DOE will participate in the federal program by conducting a workshop on lifeline protection issues, developing an overall plan, organizing a Steering Group, and conducting a pilot study at a DOE facility

  9. A spatial stochastic programming model for timber and core area management under risk of fires (United States)

    Yu Wei; Michael Bevers; Dung Nguyen; Erin Belval


    Previous stochastic models in harvest scheduling seldom address explicit spatial management concerns under the influence of natural disturbances. We employ multistage stochastic programming models to explore the challenges and advantages of building spatial optimization models that account for the influences of random stand-replacing fires. Our exploratory test models...

  10. A Cost Model for Storage and Weeding Programs. (United States)

    Lawrence, Gary S.


    Presents a simple cost model to analyze trade-offs involved in considering storage and weeding as alternatives to new construction for academic libraries. References are provided, and the Palmour cost model is presented as an appendix. (RAA)

  11. Uncertain and multi-objective programming models for crop planting structure optimization

    Directory of Open Access Journals (Sweden)

    Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG


    Full Text Available Crop planting structure optimization is a significant way to increase agricultural economic benefits and improve agricultural water management. The complexities of fluctuating stream conditions, varying economic profits, and uncertainties and errors in estimated modeling parameters, as well as the complexities among economic, social, natural resources and environmental aspects, have led to the necessity of developing optimization models for crop planting structure which consider uncertainty and multi-objectives elements. In this study, three single-objective programming models under uncertainty for crop planting structure optimization were developed, including an interval linear programming model, an inexact fuzzy chance-constrained programming (IFCCP model and an inexact fuzzy linear programming (IFLP model. Each of the three models takes grayness into account. Moreover, the IFCCP model considers fuzzy uncertainty of parameters/variables and stochastic characteristics of constraints, while the IFLP model takes into account the fuzzy uncertainty of both constraints and objective functions. To satisfy the sustainable development of crop planting structure planning, a fuzzy-optimization-theory-based fuzzy linear multi-objective programming model was developed, which is capable of reflecting both uncertainties and multi-objective. In addition, a multi-objective fractional programming model for crop structure optimization was also developed to quantitatively express the multi-objective in one optimization model with the numerator representing maximum economic benefits and the denominator representing minimum crop planting area allocation. These models better reflect actual situations, considering the uncertainties and multi-objectives of crop planting structure optimization systems. The five models developed were then applied to a real case study in Minqin County, north-west China. The advantages, the applicable conditions and the solution methods

  12. Modeling Activities in the Department of Energy’s Atmospheric Sciences Program

    Energy Technology Data Exchange (ETDEWEB)

    Fast, Jerome D.; Ghan, Steven J.; Schwartz, Stephen E.


    The Department of Energy's Atmospheric Science Program (ASP) conducts research pertinent to radiative forcing of climate change by atmospheric aerosols. The program consists of approximately 40 highly interactive peer-reviewed research projects that examine aerosol properties and processes and the evolution of aerosols in the atmosphere. Principal components of the program are instrument development, laboratory experiments, field studies, theoretical investigations, and modeling. The objectives of the Program are to 1) improve the understanding of aerosol processes associated with light scattering and absorption properties and interactions with clouds that affect Earth's radiative balance and to 2) develop model-based representations of these processes that enable the effects of aerosols on Earth's climate system to be properly represented in global-scale numerical climate models. Although only a few of the research projects within ASP are explicitly identified as primarily modeling activities, modeling actually comprises a substantial component of a large fraction of ASP research projects. This document describes the modeling activities within the Program as a whole, the objectives and intended outcomes of these activities, and the linkages among the several modeling components and with global-scale modeling activities conducted under the support of the Department of Energy's Climate Sciences Program and other aerosol and climate research programs.

  13. Modelling and Formal Verification of Timing Aspects in Large PLC Programs

    CERN Document Server

    Fernandez Adiego, B; Blanco Vinuela, E; Tournier, J-C; Gonzalez Suarez, V M; Blech, J O


    One of the main obstacle that prevents model checking from being widely used in industrial control systems is the complexity of building formal models out of PLC programs, especially when timing aspects need to be integrated. This paper brings an answer to this obstacle by proposing a methodology to model and verify timing aspects of PLC programs. Two approaches are proposed to allow the users to balance the trade-off between the complexity of the model, i.e. its number of states, and the set of specifications possible to be verified. A tool supporting the methodology which allows to produce models for different model checkers directly from PLC programs has been developed. Verification of timing aspects for real-life PLC programs are presented in this paper using NuSMV.

  14. Geometric Modeling Applications Interface Program (GMAP). Volume 1. Executive Overview (United States)


    Z . Code) 10. SOURCE OF FUNDING NOS. PROGRAM PROJECT TASK WORK UNIT ELEMENT NO. NO. NO. NO. 11. TITLE (Include Security Classification) GEOMETRIC...342f CI FTR560240OOlU September 1989 SECTION 2 SCOPE OF GMAP GMAP focused on the generacion , control, and exchange of computer information to replace

  15. Access, Equity, and Opportunity. Women in Machining: A Model Program. (United States)

    Warner, Heather

    The Women in Machining (WIM) program is a Machine Action Project (MAP) initiative that was developed in response to a local skilled metalworking labor shortage, despite a virtual absence of women and people of color from area shops. The project identified post-war stereotypes and other barriers that must be addressed if women are to have an equal…

  16. 76 FR 68011 - Medicare Program; Advanced Payment Model (United States)


    ... Vol. 76 Wednesday, No. 212 November 2, 2011 Part IV Department of Health and Human Services... HEALTH AND HUMAN SERVICES Centers for Medicare & Medicaid Services [CMS-5505-N] Medicare Program... at the start of the first performance year and end at the settlement scheduled at the end of that...

  17. Toward external coupling of building energy and airflow modeling programs

    NARCIS (Netherlands)

    Djunaedy, E.; Hensen, J.L.M.; Loomans, M.G.L.C.


    This paper presents the objectives and results of the initial stage of an ongoing research project on coupling of building energy simulation (BES), airflow network (AFN), and compu-tational Huid dynamics (CFD) programs. The objective of the research underlying this paper is to develop and verifi, a

  18. Projected 2050 Model Simulations for the Chesapeake Bay Program (United States)

    The Chesapeake Bay Program as has been tasked with assessing how changes in climate systems are expected to alter key variables and processes within the Watershed in concurrence with land use changes. EPA’s Office of Research and Development will be conducting historic and...

  19. Alcohol and Other Drug Prevention on College Campuses: Model Programs (United States)

    US Department of Education, 2008


    In response to recent alcohol-related tragedies and to ongoing concern about unacceptable levels of alcohol and other drug use on college campuses, Congress authorized the U.S. Department of Education to identify and promote effective campus-based prevention programs. Since 1999, the U.S. Department of Education has awarded approximately $3.5…

  20. A goal programming model for planning management of Miombo ...

    African Journals Online (AJOL)

    This study used a Goal Programming approach to investigate the effects of changes in agricultural policies and labour supply due to deaths in farming households, on use of woodlands under two regimes; namely one where utilization of forest resources was restricted to within sustainable levels and under another where ...

  1. Game Theory and its Relationship with Linear Programming Models ...

    African Journals Online (AJOL)

    Game theory, a branch of operations research, has been successfully applied to solve various categories of problems arising from human decisions making characterized by the complexity of situations and the limits of individual processing abilities. This paper shows that game theory and linear programming problem are ...

  2. Developing Supply Chain Management Program: A Competency Model (United States)

    Sauber, Matthew H.; McSurely, Hugh B.; Tummala, V. M. Rao


    Purpose: This paper aims to show the process of designing and measuring learning competencies in program development. Design/methodology/approach: The paper includes cross-sectoral comparisons to draw on programmatic and pedagogical strategies, more commonly utilized in vocational education, and transfer the application of these strategies into…


    Directory of Open Access Journals (Sweden)

    Sutikno Sutikno


    Full Text Available This research aims to compile the programs for poverty alleviation by community empowerment model and review the determination program as effectiveness evaluation poverty alleviation program which still can’t be worked properly. Stages the compiling program of poverty alleviation is mapping the socioeconomic conditions of the poor, basic infrastructure conditions, socio-cultural issues, and potential issues; identifying the hopes and predicting the economic development opportunities; creating the poverty alleviation program by SWOT analysis and planning implementation program with KPD. Based on the result of SWOT and scoring analysis, the selected programs are training and assistance, the establishment of cooperative saving and loans, clean water for poor households, rural development with the utilization of clean water, household waste management, and package education program A, B, and C.

  4. Service and business model for technology enabled and home-based cardiac rehabilitation programs. (United States)

    Sarela, Antti; Whittaker, Frank; Korhonen, Ilkka


    Cardiac rehabilitation programs are comprehensive life-style programs aimed at preventing recurrence of a cardiac event. However, the current programs have globally significantly low levels of uptake. Home-based model can be a viable alternative to hospital-based programs. We developed and analysed a service and business model for home based cardiac rehabilitation based on personal mentoring using mobile phones and web services. We analysed the different organizational and economical aspects of setting up and running the home based program and propose a potential business model for a sustainable and viable service. The model can be extended to management of other chronic conditions to enable transition from hospital and care centre based treatments to sustainable home-based care.

  5. A process model of voluntary travel behavior modification and effects of Travel Feedback Programs (TFPs)


    Taniguchi, Ayako


    This study tested an integrated process model of travel behavior modification. We used a model that combined the theory of planned behavior (TPB), norm activation theory (NAT), a theory of implementation intention, and theories of habit. To test the integrated model, we used panel data (n = 208) obtained before and after travel feedback programs (TFPs); the TFP is a communication program aimed at voluntary travel behavior modification, from automobile use to non-auto means of travel such as p...

  6. Structural Equation Modeling with Mplus Basic Concepts, Applications, and Programming

    CERN Document Server

    Byrne, Barbara M


    Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models expl

  7. Parallel programming practical aspects, models and current limitations

    CERN Document Server

    Tarkov, Mikhail S


    Parallel programming is designed for the use of parallel computer systems for solving time-consuming problems that cannot be solved on a sequential computer in a reasonable time. These problems can be divided into two classes: 1. Processing large data arrays (including processing images and signals in real time)2. Simulation of complex physical processes and chemical reactions For each of these classes, prospective methods are designed for solving problems. For data processing, one of the most promising technologies is the use of artificial neural networks. Particles-in-cell method and cellular automata are very useful for simulation. Problems of scalability of parallel algorithms and the transfer of existing parallel programs to future parallel computers are very acute now. An important task is to optimize the use of the equipment (including the CPU cache) of parallel computers. Along with parallelizing information processing, it is essential to ensure the processing reliability by the relevant organization ...

  8. Keys to the House: Unlocking Residential Savings With Program Models for Home Energy Upgrades

    Energy Technology Data Exchange (ETDEWEB)

    Grevatt, Jim [Energy Futures Group (United States); Hoffman, Ian [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Hoffmeyer, Dale [US Department of Energy, Washington, DC (United States)


    After more than 40 years of effort, energy efficiency program administrators and associated contractors still find it challenging to penetrate the home retrofit market, especially at levels commensurate with state and federal goals for energy savings and emissions reductions. Residential retrofit programs further have not coalesced around a reliably successful model. They still vary in design, implementation and performance, and they remain among the more difficult and costly options for acquiring savings in the residential sector. If programs are to contribute fully to meeting resource and policy objectives, administrators need to understand what program elements are key to acquiring residential savings as cost effectively as possible. To that end, the U.S. Department of Energy (DOE) sponsored a comprehensive review and analysis of home energy upgrade programs with proven track records, focusing on those with robustly verified savings and constituting good examples for replication. The study team reviewed evaluations for the period 2010 to 2014 for 134 programs that are funded by customers of investor-owned utilities. All are programs that promote multi-measure retrofits or major system upgrades. We paid particular attention to useful design and implementation features, costs, and savings for nearly 30 programs with rigorous evaluations of performance. This meta-analysis describes program models and implementation strategies for (1) direct install retrofits; (2) heating, ventilating and air-conditioning (HVAC) replacement and early retirement; and (3) comprehensive, whole-home retrofits. We analyze costs and impacts of these program models, in terms of both energy savings and emissions avoided. These program models can be useful guides as states consider expanding their strategies for acquiring energy savings as a resource and for emissions reductions. We also discuss the challenges of using evaluations to create program models that can be confidently applied in

  9. Approximate Dynamic Programming Based on High Dimensional Model Representation

    Czech Academy of Sciences Publication Activity Database

    Pištěk, Miroslav


    Roč. 49, č. 5 (2013), s. 720-737 ISSN 0023-5954 R&D Projects: GA ČR(CZ) GAP102/11/0437 Institutional support: RVO:67985556 Keywords : approximate dynamic programming * Bellman equation * approximate HDMR minimization * trust region problem Subject RIV: BC - Control Systems Theory Impact factor: 0.563, year: 2013 http:// library

  10. A simulation model of IT risk on program trading (United States)

    Xia, Bingying; Jiang, Wenbao; Luo, Guangxuan


    The biggest difficulty for Program trading IT risk measures lies in the loss of data, in view of this situation, the current scholars approach is collecting court, network and other public media such as all kinds of accident of IT both at home and abroad for data collection, and the loss of IT risk quantitative analysis based on this database. However, the IT risk loss database established by this method can only fuzzy reflect the real situation and not for real to make fundamental explanation. In this paper, based on the study of the concept and steps of the MC simulation, we use computer simulation method, by using the MC simulation method in the "Program trading simulation system" developed by team to simulate the real programming trading and get the IT risk loss of data through its IT failure experiment, at the end of the article, on the effectiveness of the experimental data is verified. In this way, better overcome the deficiency of the traditional research method and solves the problem of lack of IT risk data in quantitative research. More empirically provides researchers with a set of simulation method are used to study the ideas and the process template.

  11. The Norwegian Healthier Goats program--modeling lactation curves using a multilevel cubic spline regression model. (United States)

    Nagel-Alne, G E; Krontveit, R; Bohlin, J; Valle, P S; Skjerve, E; Sølverød, L S


    In 2001, the Norwegian Goat Health Service initiated the Healthier Goats program (HG), with the aim of eradicating caprine arthritis encephalitis, caseous lymphadenitis, and Johne's disease (caprine paratuberculosis) in Norwegian goat herds. The aim of the present study was to explore how control and eradication of the above-mentioned diseases by enrolling in HG affected milk yield by comparison with herds not enrolled in HG. Lactation curves were modeled using a multilevel cubic spline regression model where farm, goat, and lactation were included as random effect parameters. The data material contained 135,446 registrations of daily milk yield from 28,829 lactations in 43 herds. The multilevel cubic spline regression model was applied to 4 categories of data: enrolled early, control early, enrolled late, and control late. For enrolled herds, the early and late notations refer to the situation before and after enrolling in HG; for nonenrolled herds (controls), they refer to development over time, independent of HG. Total milk yield increased in the enrolled herds after eradication: the total milk yields in the fourth lactation were 634.2 and 873.3 kg in enrolled early and enrolled late herds, respectively, and 613.2 and 701.4 kg in the control early and control late herds, respectively. Day of peak yield differed between enrolled and control herds. The day of peak yield came on d 6 of lactation for the control early category for parities 2, 3, and 4, indicating an inability of the goats to further increase their milk yield from the initial level. For enrolled herds, on the other hand, peak yield came between d 49 and 56, indicating a gradual increase in milk yield after kidding. Our results indicate that enrollment in the HG disease eradication program improved the milk yield of dairy goats considerably, and that the multilevel cubic spline regression was a suitable model for exploring effects of disease control and eradication on milk yield. Copyright © 2014

  12. Pile group program for full material modeling and progressive failure. (United States)


    Strain wedge (SW) model formulation has been used, in previous work, to evaluate the response of a single pile or a group of piles (including its : pile cap) in layered soils to lateral loading. The SW model approach provides appropriate prediction f...

  13. Development of numerical modelling of analysis program for energy ...

    Indian Academy of Sciences (India)

    2,∗ and M-J WU. 3. 1Department of Civil Engineering, National Chi-Nan University, Pu-Li, Nan-Tou, ... behaviour of the VDHD was proposed in this research. ... this study. The analysis results obtained by using the mathematical model and the proposed SAP2000 numerical model conform to the seismic resistant test results,.

  14. A review of mathematical programming models of irrigation water ...

    African Journals Online (AJOL)

    Crops modelled influence water values, but there is no apparent relationship between objective function specification and average value. Nor does the number of irrigation options seem to influence water value either. The policy implication is that while similar models for the same region produce consistent estimates, each ...

  15. A stochastic dynamic programming model for stream water quality ...

    Indian Academy of Sciences (India)

    R. Narasimhan (Krishtel eMaging) 1461 1996 Oct 15 13:05:22

    1. Introduction. River water quality management problems are characterized by various uncertainties at differ- ... model to achieve the maximum economic benefits without violating water quality standards. This model ..... for aquatic life, for example, would be a useful application of the methodology presented in the paper.

  16. As-Built documentation of programs to implement the Robertson and Doraiswamy/Thompson models (United States)

    Valenziano, D. J. (Principal Investigator)


    The software which implements two spring wheat phenology models is described. The main program routines for the Doraiswamy/Thompson crop phenology model and the basic Robertson crop phenology model are DTMAIN and BRMAIN. These routines read meteorological data files and coefficient files, accept the planting date information and other information from the user, and initiate processing. Daily processing for the basic Robertson program consists only of calculation of the basic Robertson increment of crop development. Additional processing in the Doraiswamy/Thompson program includes the calculation of a moisture stress index and correction of the basic increment of development. Output for both consists of listings of the daily results.

  17. Fractured rock modeling in the National Waste Terminal Storage Program: a review of requirements and status

    Energy Technology Data Exchange (ETDEWEB)

    St. John, C.; Krug, A.; Key, S.; Monsees, J.


    Generalized computer codes capable of forming the basis for numerical models of fractured rock masses are being used within the NWTS program. Little additional development of these codes is considered justifiable, except in the area of representation of discrete fractures. On the other hand, model preparation requires definition of medium-specific constitutive descriptions and site characteristics and is therefore legitimately conducted by each of the media-oriented projects within the National Waste Terminal Storage program. However, it is essential that a uniform approach to the role of numerical modeling be adopted, including agreement upon the contribution of modeling to the design and licensing process and the need for, and means of, model qualification for particular purposes. This report discusses the role of numerical modeling, reviews the capabilities of several computer codes that are being used to support design or performance assessment, and proposes a framework for future numerical modeling activities within the NWTS program.

  18. Fractured rock modeling in the National Waste Terminal Storage Program: a review of requirements and status

    International Nuclear Information System (INIS)

    St John, C.; Krug, A.; Key, S.; Monsees, J.


    Generalized computer codes capable of forming the basis for numerical models of fractured rock masses are being used within the NWTS program. Little additional development of these codes is considered justifiable, except in the area of representation of discrete fractures. On the other hand, model preparation requires definition of medium-specific constitutive descriptions and site characteristics and is therefore legitimately conducted by each of the media-oriented projects within the National Waste Terminal Storage program. However, it is essential that a uniform approach to the role of numerical modeling be adopted, including agreement upon the contribution of modeling to the design and licensing process and the need for, and means of, model qualification for particular purposes. This report discusses the role of numerical modeling, reviews the capabilities of several computer codes that are being used to support design or performance assessment, and proposes a framework for future numerical modeling activities within the NWTS program

  19. Progress and applications of MCAM. Monte Carlo automatic modeling program for particle transport simulation

    International Nuclear Information System (INIS)

    Wang Guozhong; Zhang Junjun; Xiong Jian


    MCAM (Monte Carlo Automatic Modeling program for particle transport simulation) was developed by FDS Team as a CAD based bi-directional interface program between general CAD systems and Monte Carlo particle transport simulation codes. The physics and material modeling and void space modeling functions were improved and the free form surfaces processing function was developed recently. The applications to the ITER (International Thermonuclear Experimental Reactor) building model and FFHR (Force Free Helical Reactor) model have demonstrated the feasibility, effectiveness and maturity of MCAM latest version for nuclear applications with complex geometry. (author)

  20. Portfolio optimization by using linear programing models based on genetic algorithm (United States)

    Sukono; Hidayat, Y.; Lesmana, E.; Putra, A. S.; Napitupulu, H.; Supian, S.


    In this paper, we discussed the investment portfolio optimization using linear programming model based on genetic algorithms. It is assumed that the portfolio risk is measured by absolute standard deviation, and each investor has a risk tolerance on the investment portfolio. To complete the investment portfolio optimization problem, the issue is arranged into a linear programming model. Furthermore, determination of the optimum solution for linear programming is done by using a genetic algorithm. As a numerical illustration, we analyze some of the stocks traded on the capital market in Indonesia. Based on the analysis, it is shown that the portfolio optimization performed by genetic algorithm approach produces more optimal efficient portfolio, compared to the portfolio optimization performed by a linear programming algorithm approach. Therefore, genetic algorithms can be considered as an alternative on determining the investment portfolio optimization, particularly using linear programming models.

  1. Geometry Modeling Program Implementation of Human Hip Tissue

    Directory of Open Access Journals (Sweden)

    WANG Mo-nan


    Full Text Available Abstract:Aiming to design a simulate software of human tissue modeling and analysis,Visual Studio 2010 is selected as a development tool to develop a 3 D reconstruction software of human tissue with language C++.It can be used alone. It also can be a module of the virtual surgery systems. The system includes medical image segmentation modules and 3 D reconstruction modules,and can realize the model visualization. This software system has been used to reconstruct hip muscles,femur and hip bone accurately. The results show these geometry models can simulate the structure of hip tissues.

  2. Geometry Modeling Program Implementation of Human Hip Tissue

    Directory of Open Access Journals (Sweden)

    WANG Monan


    Full Text Available Aiming to design a simulate software of human tissue modeling and analysis,Visual Studio 2010 is selected as a development tool to develop a 3 D reconstruction software of human tissue with language C++.It can be used alone. It also can be a module of the virtual surgery systems. The system includes medical image segmentation modules and 3 D reconstruction modules,and can realize the model visualization. This software system has been used to reconstruct hip muscles,femur and hip bone accurately. The results show these geometry models can simulate the structure of hip tissues.


    Directory of Open Access Journals (Sweden)

    Nataliya O. Bugayets


    Full Text Available The article deals with the methodical features in training of computer simulation of systems and processes using animation. In the article the importance of visibility of educational material that combines sensory and thinking sides of cognition is noted. The concept of modeling and the process of building models has been revealed. Attention is paid to the development of skills that are essential for effective learning of animated simulation by visual aids. The graphical environment tools of the computer mathematics system Maxima for animated simulation are described. The examples of creation of models animated visual aids and their use for the development of research skills are presented.

  4. A Hybrid Programming Framework for Modeling and Solving Constraint Satisfaction and Optimization Problems


    Paweł Sitek; Jarosław Wikarek


    This paper proposes a hybrid programming framework for modeling and solving of constraint satisfaction problems (CSPs) and constraint optimization problems (COPs). Two paradigms, CLP (constraint logic programming) and MP (mathematical programming), are integrated in the framework. The integration is supplemented with the original method of problem transformation, used in the framework as a presolving method. The transformation substantially reduces the feasible solution space. The framework a...

  5. Nonlinear programming models to optimize uneven-aged loblolly pine management (United States)

    Benedict J. Schulte; Joseph. Buongiorno; Kenneth Skog


    Nonlinear programming models of uneven-aged loblolly pine (Pinus taeda L.) management were developed to identify sustainable management regimes which optimize: 1) soil expectation value (SEV), 2) tree diversity, or 3) annual sawtimber yields. The models use the equations of SouthPro, a site- and density-dependent, multi-species matrix growth and yield model that...

  6. Animal Models and Bone Histomorphometry: Translational Research for the Human Research Program (United States)

    Sibonga, Jean D.


    This slide presentation reviews the use of animal models to research and inform bone morphology, in particular relating to human research in bone loss as a result of low gravity environments. Reasons for use of animal models as tools for human research programs include: time-efficient, cost-effective, invasive measures, and predictability as some model are predictive for drug effects.

  7. FMCSA safety program effectiveness measurement: intervention model fiscal year 2009. (United States)


    The Federal Motor Carrier Safety Administration (FMCSA), in cooperation with the researcher, has developed an analytic model to measure the effectiveness of roadside inspections and traffic enforcements in terms of crashes avoided, injuries avoided, ...

  8. Causal Analysis for Performance Modeling of Computer Programs

    Directory of Open Access Journals (Sweden)

    Jan Lemeire


    Full Text Available Causal modeling and the accompanying learning algorithms provide useful extensions for in-depth statistical investigation and automation of performance modeling. We enlarged the scope of existing causal structure learning algorithms by using the form-free information-theoretic concept of mutual information and by introducing the complexity criterion for selecting direct relations among equivalent relations. The underlying probability distribution of experimental data is estimated by kernel density estimation. We then reported on the benefits of a dependency analysis and the decompositional capacities of causal models. Useful qualitative models, providing insight into the role of every performance factor, were inferred from experimental data. This paper reports on the results for a LU decomposition algorithm and on the study of the parameter sensitivity of the Kakadu implementation of the JPEG-2000 standard. Next, the analysis was used to search for generic performance characteristics of the applications.

  9. NYC Epi Scholars program: promoting applied health disparities research in an urban public health department-a program model. (United States)

    Blake, Janice; Choden, Tsering; Hemans-Henry, Calaine; Koppaka, Ram; Greene, Carolyn


    Although health disparities research has already contributed to decreased mortality and morbidity in underserved communities, more work is needed. The NYC Epi Scholars program of the New York City Department of Health and Mental Hygiene (NYC DOHMH) aims to address gaps in critical public health needs and to train future public health leaders in epidemiology. The program is designed to increase racial/ethnic and socioeconomic diversity in the public health workforce, to provide fieldwork and practica opportunities, and to cultivate future leaders in epidemiology and public health. Since its inception in 2007, the NYC Epi Scholars program of the NYC DOHMH has sought talented epidemiology students interested in gaining practical experience in applied health disparities research. NYC Epi Scholars is open to graduate epidemiology students who have demonstrated achievement and leadership potential and gives them an opportunity to provide high-quality research assistance to projects that identify and address health disparities of public health significance. Many of the program's 32 alumni have made notable contributions to public health: publishing articles in peer-reviewed journals; making presentations at national and international conferences; and after graduating, pursuing careers at the DOHMH, Centers for Disease Control and Prevention, the Environmental Protection Agency, and the National Institutes of Health. Because of its noted success, the NYC Epi Scholars program may serve as a "best-practice" model for expansion in other urban health departments.

  10. Program Manager: Modeling and Simulation Feature Issue, September - October 1997 (United States)


    emerge for representing virtual prototypes. For example, modelers explicitly designed Virtual Reality Modeling Language ( VRML ) to pro- duce virtual... VRML viewers to display a wide spec- trum of standard data types. This particular user interface proto- type lacks the elements for controlling...actuation devices, and advanced tech- nology insertion. In this example, engineers used VRML to produce the visual appearance of the satellite, with the

  11. Controlled Optimal Design Program for the Logit Dose Response Model

    Directory of Open Access Journals (Sweden)

    Jiaqiao Hu


    Full Text Available The assessment of dose-response is an integral component of the drug development process. Parallel dose-response studies are conducted, customarily, in preclinical and phase 1, 2 clinical trials for this purpose. Practical constraints on dose range, dose levels and dose proportions are intrinsic issues in the design of dose response studies because of drug toxicity, efficacy, FDA regulations, protocol requirements, clinical trial logistics, and marketing issues. We provide a free on-line software package called Controlled Optimal Design 2.0 for generating controlled optimal designs that can incorporate prior information and multiple objectives, and meet multiple practical constraints at the same time. Researchers can either run the web-based design program or download its stand-alone version to construct the desired multiple-objective controlled Bayesian optimal designs. Because researchers often adopt ad-hoc design schemes such as the equal allocation rules without knowing how efficient such designs would be for the design problem, the program also evaluates the efficiency of user-supplied designs.

  12. Modeling the Impact of Wilderness Orientation Programs on First-Year Academic Success and Life Purpose (United States)

    Bailey, Andrew W.; Kang, Hyoung-Kil


    Wilderness orientation programs (WOPs) are becoming a popular method of encouraging college student retention and success. Previous studies have identified outcomes and correlates of participation in these programs, but a cohesive model of impact is lacking. The purpose of this study was to assess the impact of WOPs on first-year student success…

  13. Predictive Modeling of Student Performances for Retention and Academic Support in a Diagnostic Medical Sonography Program (United States)

    Borghese, Peter; Lacey, Sandi


    As part of a retention and academic support program, data was collected to develop a predictive model of student performances in core classes in a Diagnostic Medical Sonography (DMS) program. The research goal was to identify students likely to have difficulty with coursework and provide supplemental tutorial support. The focus was on the…

  14. A mixed integer program to model spatial wildfire behavior and suppression placement decisions (United States)

    Erin J. Belval; Yu Wei; Michael. Bevers


    Wildfire suppression combines multiple objectives and dynamic fire behavior to form a complex problem for decision makers. This paper presents a mixed integer program designed to explore integrating spatial fire behavior and suppression placement decisions into a mathematical programming framework. Fire behavior and suppression placement decisions are modeled using...

  15. Theory and Programs for Dynamic Modeling of Tree Rings from Climate (United States)

    Paul C. van Deusen; Jennifer Koretz


    Computer programs written in GAUSS(TM) for IBM compatible personal computers are described that perform dynamic tree ring modeling with climate data; the underlying theory is also described. The programs and a separate users manual are available from the authors, although users must have the GAUSS software package on their personal computer. An example application of...

  16. Assessing the New Competencies for Resident Education: A Model from an Emergency Medicine Program. (United States)

    Reisdorff, Earl J.; Hayes, Oliver W.; Carlson, Dale J.; Walker, Gregory L.


    Based on the experience of Michigan State University's emergency medicine residency program, proposes a practical method for modifying an existing student evaluation format. The model provides a template other programs could use in assessing residents' acquisition of the knowledge, skills, and attitudes reflected in the six general competencies…

  17. Network model and short circuit program for the Kennedy Space Center electric power distribution system (United States)


    Assumptions made and techniques used in modeling the power network to the 480 volt level are discussed. Basic computational techniques used in the short circuit program are described along with a flow diagram of the program and operational procedures. Procedures for incorporating network changes are included in this user's manual.

  18. Modelling of offshore wind turbine wakes with the wind farm program FLaP

    DEFF Research Database (Denmark)

    Lange, B.; Waldl, H.P.; Guerrero, A.G.


    The wind farm layout program FLaP estimates the wind speed at any point in a wind farm and the power output of the turbines. The ambient flow conditions and the properties of the turbines and the farm are used as input. The core of the program is an axisymmetric wake model describing the wake...

  19. Modeling the Bullying Prevention Program Preferences of Educators: A Discrete Choice Conjoint Experiment (United States)

    Cunningham, Charles E.; Vaillancourt, Tracy; Rimas, Heather; Deal, Ken; Cunningham, Lesley; Short, Kathy; Chen, Yvonne


    We used discrete choice conjoint analysis to model the bullying prevention program preferences of educators. Using themes from computerized decision support lab focus groups (n = 45 educators), we composed 20 three-level bullying prevention program design attributes. Each of 1,176 educators completed 25 choice tasks presenting experimentally…

  20. The Open Academic Model for the Systems Engineering Graduate Program at Stevens Institute of Technology (United States)

    Lasfer, Kahina


    The Systems Engineering Program at Stevens Institute of Technology has developed the Open Academic Model (OAM) to guide its strategic planning and operations since its founding in 2001. Guided by OAM, the Stevens Systems Engineering Program (SSEP) has grown from inception in 2001 into one of the largest in the US. The main objectives of the…

  1. Development of the Dutch Johne's disease control program supported by a simulation model

    NARCIS (Netherlands)

    Groenendaal, H.; Nielen, M.; Hesselink, J.W.


    The development of a simulation model, "JohneSSim", was part of a research program aimed at designing a national Johne's disease control program for The Netherlands. Initially, the focus was mainly directed towards different compulsory "test-and-cull" strategies. However, the results from the

  2. NEARSOL - a simple program to model actinide speciation and solubility under waste disposal conditions

    International Nuclear Information System (INIS)

    Leach, S.J.; Pryke, D.C.


    A simple program, NearSol, has been written in Fortran 77 on the Harwell Central Computer to model the aqueous speciation and solubility of actinides under near-field conditions for disposal using a simple thermodynamic approach. The methodology and running of the program are described together with a worked example. (author)

  3. A Constraint Programming model for fast optimal stowage of container vessel bays

    DEFF Research Database (Denmark)

    Delgado, Alberto; Jensen, Rune Møller; Janstrup, Kira


    planning phase that distributes the containers to bay sections and a slot planning phase that assigns containers of each bay section to slots. In this paper, we focus on the slot planning phase of this approach and present a Constraint Programming and Integer Programming model for stowing a set...

  4. An analysis of comprehensive health promotion programs' consistency with the systems model of health. (United States)

    Meek, J


    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

  5. Survey of Airport Access Analysis Techniques - Models, Data and a Research Program (United States)


    The report points up the differences and similarities between airport access travel and general urban trip making. Models and surveys developed for, or applicable, to airport access planning are reviewed. A research program is proposed which would ge...

  6. Development of demand functions and their inclusion in linear programming forecasting models

    International Nuclear Information System (INIS)

    Chamberlin, J.H.


    The purpose of the paper is to present a method for including demand directly within a linear programming model, and to use this method to analyze the effect of the Liquid Metal Fast Breeder Reactor upon the nuclear energy system

  7. Assessment model validity document. NAMMU: A program for calculating groundwater flow and transport through porous media

    International Nuclear Information System (INIS)

    Cliffe, K.A.; Morris, S.T.; Porter, J.D.


    NAMMU is a computer program for modelling groundwater flow and transport through porous media. This document provides an overview of the use of the program for geosphere modelling in performance assessment calculations and gives a detailed description of the program itself. The aim of the document is to give an indication of the grounds for having confidence in NAMMU as a performance assessment tool. In order to achieve this the following topics are discussed. The basic premises of the assessment approach and the purpose of and nature of the calculations that can be undertaken using NAMMU are outlined. The concepts of the validation of models and the considerations that can lead to increased confidence in models are described. The physical processes that can be modelled using NAMMU and the mathematical models and numerical techniques that are used to represent them are discussed in some detail. Finally, the grounds that would lead one to have confidence that NAMMU is fit for purpose are summarised

  8. Automated Generation of Formal Models from ST Control Programs for Verification Purposes

    CERN Document Server

    Fernandez Adiego, B; Tournier, J-C; Blanco Vinuela, E; Blech, J-O; Gonzalez Suarez, V


    In large industrial control systems such as the ones installed at CERN, one of the main issues is the ability to verify the correct behaviour of the Programmable Logic Controller (PLC) programs. While manual and automated testing can achieve good results, some obvious problems remain unsolved such as the difficulty to check safety or liveness properties. This paper proposes a general methodology and a tool to verify PLC programs by automatically generating formal models for different model checkers out of ST code. The proposed methodology defines an automata-based formalism used as intermediate model (IM) to transform PLC programs written in ST language into different formal models for verification purposes. A tool based on Xtext has been implemented that automatically generates models for the NuSMV and UPPAAL model checkers and the BIP framework.

  9. A Perfect Price Discrimination Market Model with Production, and a (Rational) Convex Program for It (United States)

    Goel, Gagan; Vazirani, Vijay

    Recent results showed PPAD-completeness of the problem of computing an equilibrium for Fisher's market model under additively separable, piecewise-linear, concave utilities. We show that introducing perfect price discrimination in this model renders its equilibrium polynomial time computable. Moreover, its set of equilibria are captured by a convex program that generalizes the classical Eisenberg-Gale program, and always admits a rational solution.

  10. Programming in the Large based on the Business Process Modeling Notation


    Emig, Christian; Momm, Christof; Weisser, Jochen; Abeck, Sebastian


    A software application is related to the processes it supports. Today, UML diagrams esp. use case diagrams and activity diagrams are often used to model the relevant aspects of the processes within the analysis phase. In the design phase the models are manually mapped to the business layer of the software application. In the context of Service-oriented Architectures (SOA) Programming in the Large takes a different approach: Business processes are described in a programming language, i.e. a pr...

  11. Programs Model the Future of Air Traffic Management (United States)


    Through Small Business Innovation Research (SBIR) contracts with Ames Research Center, Intelligent Automation Inc., based in Rockville, Maryland, advanced specialized software the company had begun developing with U.S. Department of Defense funding. The agent-based infrastructure now allows NASA's Airspace Concept Evaluation System to explore ways of improving the utilization of the National Airspace System (NAS), providing flexible modeling of every part of the NAS down to individual planes, airports, control centers, and even weather. The software has been licensed to a number of aerospace and robotics customers, and has even been used to model the behavior of crowds.

  12. Programming Models and Tools for Intelligent Embedded Systems

    DEFF Research Database (Denmark)

    Sørensen, Peter Verner Bojsen

    Design automation and analysis tools targeting embedded platforms, developed using a component-based design approach, must be able to reason about the capabilities of the platforms. In the general case where nothing is assumed about the components comprising a platform or the platform topology......, analysis must be employed to determine its capabilities. This kind of analysis is the subject of this dissertation. The main contribution of this work is the Service Relation Model used to describe and analyze the flow of service in models of platforms and systems composed of re-usable components...

  13. Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming

    Energy Technology Data Exchange (ETDEWEB)

    Cardoso, Goncalo; Stadler, Michael; Siddiqui, Afzal; Marnay, Chris; DeForest, Nicholas; Barbosa-Povoa, Ana; Ferrao, Paulo


    This paper describes the introduction of stochastic linear programming into Operations DER-CAM, a tool used to obtain optimal operating schedules for a given microgrid under local economic and environmental conditions. This application follows previous work on optimal scheduling of a lithium-iron-phosphate battery given the output uncertainty of a 1 MW molten carbonate fuel cell. Both are in the Santa Rita Jail microgrid, located in Dublin, California. This fuel cell has proven unreliable, partially justifying the consideration of storage options. Several stochastic DER-CAM runs are executed to compare different scenarios to values obtained by a deterministic approach. Results indicate that using a stochastic approach provides a conservative yet more lucrative battery schedule. Lower expected energy bills result, given fuel cell outages, in potential savings exceeding 6percent.

  14. Improving pregnancy outcome during imprisonment: a model residential care program. (United States)

    Siefert, K; Pimlott, S


    The female prison population has increased dramatically in recent years. Most women prisoners are involved with drugs, and as many as 25 percent are pregnant or have delivered within the past year. Reproductive health and drug treatment services for women in prison are inadequate, if they are available at all, and although illicit drugs are readily available in prison, drug-involved pregnant women often are incarcerated to protect fetal health. Studies of pregnancy outcome among women prisoners have demonstrated high rates of perinatal mortality and morbidity. This article examines issues related to pregnancy among women prisoners and describes an innovative residential program designed for pregnant, drug-dependent women in a state adult corrections system. Social workers can play an important role in promoting policy reform and improved services for this underserved population.

  15. Mathematical programming model for the optimization of nutritional ...

    African Journals Online (AJOL)

    In addition, a possible range of milk production between 10and 45 I has been allowed for. In this study the 'Cedara' model (Jones & Stewart, 1987) was used to determine the nutrient requirements and dry matter in- take of any cow under consideration at the various levels of milk production, although any preferred source of.

  16. Academic Talent Development Programs: A Best Practices Model (United States)

    Gagné, Françoys


    This article aims to describe how schools should structure the development of academic talent at all levels of the K-12 educational system. Adopting as its theoretical framework the "Differentiating Model of Giftedness and Talent," the author proposes (a) a formal definition of academic talent development (ATD) inspired by the principles…

  17. Models for Effective Service Delivery in Special Education Programs (United States)

    Epler, Pam; Ross, Rorie


    Educators today are challenged with the task of designing curricula and standards for students of varying abilities. While technology and innovation steadily improve classroom learning, teachers and administrators continue to struggle in developing the best methodologies and practices for students with disabilities. "Models for Effective…

  18. Exploration Of Deep Learning Algorithms Using Openacc Parallel Programming Model

    KAUST Repository

    Hamam, Alwaleed A.


    Deep learning is based on a set of algorithms that attempt to model high level abstractions in data. Specifically, RBM is a deep learning algorithm that used in the project to increase it\\'s time performance using some efficient parallel implementation by OpenACC tool with best possible optimizations on RBM to harness the massively parallel power of NVIDIA GPUs. GPUs development in the last few years has contributed to growing the concept of deep learning. OpenACC is a directive based ap-proach for computing where directives provide compiler hints to accelerate code. The traditional Restricted Boltzmann Ma-chine is a stochastic neural network that essentially perform a binary version of factor analysis. RBM is a useful neural net-work basis for larger modern deep learning model, such as Deep Belief Network. RBM parameters are estimated using an efficient training method that called Contrastive Divergence. Parallel implementation of RBM is available using different models such as OpenMP, and CUDA. But this project has been the first attempt to apply OpenACC model on RBM.


    Directory of Open Access Journals (Sweden)

    Wikanengsih -


    Abstrak: Model Pembelajaran Neurolinguistic Programming Berorientasi Karakter untuk Mening­katkan Kemampuan Menulis Siswa. Penelitian ini bertujuan untuk mengetahui keefektifan model pem­belajaran neurolinguistik programming berorientasi karakter (MPNLPBK terhadap kemampuan menulis siswa. Metode penelitian yang digunakan metode penelitian kombinasi (mixed method jenis sequential exploratory strategy. Hasil penelitian tahap pertama (penelitian kualitatif menghasilkan model pembelajaran hipotetik. Penelitian tahap kedua merupakan uji coba penerapan model hipotetik (penelitian kuantitatif. Hasil pengujian menunjukkan bahwa pembelajaran menulis dengan menggunakan MPNLPBK dapat meningkatkan kemampuan menulis siswa kelompok eksperimen. Selain itu, berdasarkan hasil pengamatan terhadap aspek karakter komunikatif, toleran, tanggungjawab dan kreatif siswa, terdapat perkembangan pada diri siswa untuk setiap aspek tersebut.

  20. Modelling the Influence of Awareness Programs by Media on the Drinking Dynamics

    Directory of Open Access Journals (Sweden)

    Hai-Feng Huo


    Full Text Available We develop a nonlinear mathematical model with the effect of awareness programs on the binge drinking. Due to the fact that awareness programs are capable of inducing behavioral changes in nondrinkers, we introduce a separate class by avoiding contacts with the heavy drinkers. Furthermore we assume that cumulative density of awareness programs increases at a rate proportional to the number of heavy drinkers. We establish some sufficient conditions for the stability of the alcohol free and the alcohol present equilibria and give some numerical simulations to explain our main result. Our results show that awareness programs is an effective measure in reducing alcohol problems.

  1. An interdisciplinary clinical advancement program within a patient-centered care model. (United States)

    D'Avirro, J; Dotson, T; LaPierre, B; Marshall, W; Mishler, M B; Tanger, J L


    Restructuring in health care does not have to compromise the pursuit of clinical excellence and quality patient care. The clinical advancement program (CAP) at the Hospital for Special Care is a newly developed multidisciplinary reward and recognition program for clinical staff. The program is integrated into the hospital's structure of service line management and, unlike traditional advancement programs, is open to all levels of care providers: professional personnel, technical staff, and aides. This article describes the basic features of the CAP model and how its was developed by a multidisciplinary task force.

  2. Preparing culturally responsive teachers of science, technology, engineering, and math using the Geophysical Institute Framework for Professional Development in Alaska (United States)

    Berry Bertram, Kathryn


    The Geophysical Institute (GI) Framework for Professional Development was designed to prepare culturally responsive teachers of science, technology, engineering, and math (STEM). Professional development programs based on the framework are created for rural Alaskan teachers who instruct diverse classrooms that include indigenous students. This dissertation was written in response to the question, "Under what circumstances is the GI Framework for Professional Development effective in preparing culturally responsive teachers of science, technology, engineering, and math?" Research was conducted on two professional development programs based on the GI Framework: the Arctic Climate Modeling Program (ACMP) and the Science Teacher Education Program (STEP). Both programs were created by backward design to student learning goals aligned with Alaska standards and rooted in principles of indigenous ideology. Both were created with input from Alaska Native cultural knowledge bearers, Arctic scientists, education researchers, school administrators, and master teachers with extensive instructional experience. Both provide integrated instruction reflective of authentic Arctic research practices, and training in diverse methods shown to increase indigenous student STEM engagement. While based on the same framework, these programs were chosen for research because they offer distinctly different training venues for K-12 teachers. STEP offered two-week summer institutes on the UAF campus for more than 175 teachers from 33 Alaska school districts. By contrast, ACMP served 165 teachers from one rural Alaska school district along the Bering Strait. Due to challenges in making professional development opportunities accessible to all teachers in this geographically isolated district, ACMP offered a year-round mix of in-person, long-distance, online, and local training. Discussion centers on a comparison of the strategies used by each program to address GI Framework cornerstones, on

  3. Sensitivity Analysis of the Integrated Medical Model for ISS Programs (United States)

    Goodenow, D. A.; Myers, J. G.; Arellano, J.; Boley, L.; Garcia, Y.; Saile, L.; Walton, M.; Kerstman, E.; Reyes, D.; Young, M.


    Sensitivity analysis estimates the relative contribution of the uncertainty in input values to the uncertainty of model outputs. Partial Rank Correlation Coefficient (PRCC) and Standardized Rank Regression Coefficient (SRRC) are methods of conducting sensitivity analysis on nonlinear simulation models like the Integrated Medical Model (IMM). The PRCC method estimates the sensitivity using partial correlation of the ranks of the generated input values to each generated output value. The partial part is so named because adjustments are made for the linear effects of all the other input values in the calculation of correlation between a particular input and each output. In SRRC, standardized regression-based coefficients measure the sensitivity of each input, adjusted for all the other inputs, on each output. Because the relative ranking of each of the inputs and outputs is used, as opposed to the values themselves, both methods accommodate the nonlinear relationship of the underlying model. As part of the IMM v4.0 validation study, simulations are available that predict 33 person-missions on ISS and 111 person-missions on STS. These simulated data predictions feed the sensitivity analysis procedures. The inputs to the sensitivity procedures include the number occurrences of each of the one hundred IMM medical conditions generated over the simulations and the associated IMM outputs: total quality time lost (QTL), number of evacuations (EVAC), and number of loss of crew lives (LOCL). The IMM team will report the results of using PRCC and SRRC on IMM v4.0 predictions of the ISS and STS missions created as part of the external validation study. Tornado plots will assist in the visualization of the condition-related input sensitivities to each of the main outcomes. The outcomes of this sensitivity analysis will drive review focus by identifying conditions where changes in uncertainty could drive changes in overall model output uncertainty. These efforts are an integral

  4. Bourbaki's structure theory in the problem of complex systems simulation models synthesis and model-oriented programming (United States)

    Brodsky, Yu. I.


    The work is devoted to the application of Bourbaki's structure theory to substantiate the synthesis of simulation models of complex multicomponent systems, where every component may be a complex system itself. An application of the Bourbaki's structure theory offers a new approach to the design and computer implementation of simulation models of complex multicomponent systems—model synthesis and model-oriented programming. It differs from the traditional object-oriented approach. The central concept of this new approach and at the same time, the basic building block for the construction of more complex structures is the concept of models-components. A model-component endowed with a more complicated structure than, for example, the object in the object-oriented analysis. This structure provides to the model-component an independent behavior-the ability of standard responds to standard requests of its internal and external environment. At the same time, the computer implementation of model-component's behavior is invariant under the integration of models-components into complexes. This fact allows one firstly to construct fractal models of any complexity, and secondly to implement a computational process of such constructions uniformly-by a single universal program. In addition, the proposed paradigm allows one to exclude imperative programming and to generate computer code with a high degree of parallelism.

  5. A Multiobjective Programming Method for Ranking All Units Based on Compensatory DEA Model

    Directory of Open Access Journals (Sweden)

    Haifang Cheng


    Full Text Available In order to rank all decision making units (DMUs on the same basis, this paper proposes a multiobjective programming (MOP model based on a compensatory data envelopment analysis (DEA model to derive a common set of weights that can be used for the full ranking of all DMUs. We first revisit a compensatory DEA model for ranking all units, point out the existing problem for solving the model, and present an improved algorithm for which an approximate global optimal solution of the model can be obtained by solving a sequence of linear programming. Then, we applied the key idea of the compensatory DEA model to develop the MOP model in which the objectives are to simultaneously maximize all common weights under constraints that the sum of efficiency values of all DMUs is equal to unity and the sum of all common weights is also equal to unity. In order to solve the MOP model, we transform it into a single objective programming (SOP model using a fuzzy programming method and solve the SOP model using the proposed approximation algorithm. To illustrate the ranking method using the proposed method, two numerical examples are solved.

  6. A Model of Computation for Bit-Level Concurrent Computing and Programming: APEC (United States)

    Ajiro, Takashi; Tsuchida, Kensei

    A concurrent model of computation and a language based on the model for bit-level operation are useful for developing asynchronous and concurrent programs compositionally, which frequently use bit-level operations. Some examples are programs for video games, hardware emulation (including virtual machines), and signal processing. However, few models and languages are optimized and oriented to bit-level concurrent computation. We previously developed a visual programming language called A-BITS for bit-level concurrent programming. The language is based on a dataflow-like model that computes using processes that provide serial bit-level operations and FIFO buffers connected to them. It can express bit-level computation naturally and develop compositionally. We then devised a concurrent computation model called APEC (Asynchronous Program Elements Connection) for bit-level concurrent computation. This model enables precise and formal expression of the process of computation, and a notion of primitive program elements for controlling and operating can be expressed synthetically. Specifically, the model is based on a notion of uniform primitive processes, called primitives, that have three terminals and four ordered rules at most, as well as on bidirectional communication using vehicles called carriers. A new notion is that a carrier moving between two terminals can briefly express some kinds of computation such as synchronization and bidirectional communication. The model's properties make it most applicable to bit-level computation compositionally, since the uniform computation elements are enough to develop components that have practical functionality. Through future application of the model, our research may enable further research on a base model of fine-grain parallel computer architecture, since the model is suitable for expressing massive concurrency by a network of primitives.

  7. 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.


    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.


    Directory of Open Access Journals (Sweden)

    Krzysztof TWARDOCH


    Full Text Available In the article presented a new model of physical and mathematical bevel gear to study the influence of design parameters and operating factors on the dynamic state of the gear transmission. Discusses the process of verifying proper operation of copyright calculation program used to determine the solutions of the dynamic model of bevel gear. Presents the block diagram of a computing algorithm that was used to create a program for the numerical simulation. The program source code is written in an interactive environment to perform scientific and engineering calculations, MATLAB

  9. Compartment modelling in nuclear medicine: a new program for the determination of transfer coefficients

    International Nuclear Information System (INIS)

    Hallstadius, L.


    In many investigations concerning transport/exchange of matter in a natural system, e.g. functional studies in nuclear medicine, it is advantageous to relate experimental results to a model of the system. A new computer program is presented for the determination of linear transfer coefficients in a compartment model from experimentally observed time-compartment content curves. The program performs a least-square fit with the specified precision of the observed values as weight factors. The resulting uncertainty in the calculated transfer coefficients may also be assessed. The application of the program in nuclear medicine is demonstrated and discussed. (author)

  10. A Learning Model Design Integrating ESP Course and Service Learning Program to Promote Relevance and Meaningfulness

    Directory of Open Access Journals (Sweden)

    Carla Sih Prabandari


    Full Text Available Relevance and meaningfulness of the content courses need to be established to make learners realize that the knowledge acquired in the clasroom can be utilized to give contributions to society. This research is aimed at designing a learning model integrating ESP course and Service Learning Program. ESP is a subject designed to enable students to design ESP programs. The integration of ESP and SLP allows students to exercise their skills in designing an ESP program, which is eventually implemented as one of their SLP programs. The current research is targeted to describe what the learning model design integrating ESP Course and Service Learning Program looks like.   DOI:

  11. PrimeSupplier Cross-Program Impact Analysis and Supplier Stability Indicator Simulation Model (United States)

    Calluzzi, Michael


    PrimeSupplier, a supplier cross-program and element-impact simulation model, with supplier solvency indicator (SSI), has been developed so that the shuttle program can see early indicators of supplier and product line stability, while identifying the various elements and/or programs that have a particular supplier or product designed into the system. The model calculates two categories of benchmarks to determine the SSI, with one category focusing on agency programmatic data and the other focusing on a supplier's financial liquidity. PrimeSupplier was developed to help NASA smoothly transition design, manufacturing, and repair operations from the Shuttle program to the Constellation program, without disruption in the industrial supply base.

  12. Mathematical Programming Model of Biodiesel Supply Chain in Colombia

    Directory of Open Access Journals (Sweden)

    Johan Alexander Aranda Pinilla


    in order to coordinate a structured way fl ow of resources between the links in the chain starting with “harvesting” going through the middle steps of “extraction” and “conversion” until the fi nal step “mixture “, which are involved in the supply network. The goal of the model is to determine a distribution plan of palm, oil, biodiesel and diesel throughout the chain, along with a production and inventory plan, and a capacity increase plan for biorefi neries in a way that minimizes the total cost of the production chain over a predefi ned planning horizon. The application of the model results in a projection to the year 2043 showing the behavior of the chain, specifi cally soil requirements for such production levels.

  13. A Comparison of Four Software Programs for Implementing Decision Analytic Cost-Effectiveness Models. (United States)

    Hollman, Chase; Paulden, Mike; Pechlivanoglou, Petros; McCabe, Christopher


    The volume and technical complexity of both academic and commercial research using decision analytic modelling has increased rapidly over the last two decades. The range of software programs used for their implementation has also increased, but it remains true that a small number of programs account for the vast majority of cost-effectiveness modelling work. We report a comparison of four software programs: TreeAge Pro, Microsoft Excel, R and MATLAB. Our focus is on software commonly used for building Markov models and decision trees to conduct cohort simulations, given their predominance in the published literature around cost-effectiveness modelling. Our comparison uses three qualitative criteria as proposed by Eddy et al.: "transparency and validation", "learning curve" and "capability". In addition, we introduce the quantitative criterion of processing speed. We also consider the cost of each program to academic users and commercial users. We rank the programs based on each of these criteria. We find that, whilst Microsoft Excel and TreeAge Pro are good programs for educational purposes and for producing the types of analyses typically required by health technology assessment agencies, the efficiency and transparency advantages of programming languages such as MATLAB and R become increasingly valuable when more complex analyses are required.

  14. Curriculum inventory: Modeling, sharing and comparing medical education programs. (United States)

    Ellaway, Rachel H; Albright, Susan; Smothers, Valerie; Cameron, Terri; Willett, Timothy


    Abstract descriptions of how curricula are structured and run. The American National Standards Institute (ANSI) MedBiquitous Curriculum Inventory Standard provides a technical syntax through which a wide range of different curricula can be expressed and subsequently compared and analyzed. This standard has the potential to shift curriculum mapping and reporting from a somewhat disjointed and institution-specific undertaking to something that is shared among multiple medical schools and across whole medical education systems. Given the current explosion of different models of curricula (time-free, competency-based, socially accountable, distributed, accelerated, etc.), the ability to consider this diversity using a common model has particular value in medical education management and scholarship. This article describes the development and structure of the Curriculum Inventory Standard as a way of standardizing the modeling of different curricula for audit, evaluation and research purposes. It also considers the strengths and limitations of the current standard and the implications for a medical education world in which this level of commonality, precision, and accountability for curricular practice is the norm rather than the exception.

  15. Prenatal centrifugation: A model for fetal programming of adult weight? (United States)

    Baer, Lisa A.; Rushing, Linda; Wade, Charles E.; Ronca, April E.


    'Fetal programming' is a newly emerging field that is revealing astounding insights into the prenatal origins of adult disease, including metabolic, endocrine, and cardiovascular pathophysiology. In the present study, we tested the hypothesis that rat pups conceived, gestated and born at 2-g have significantly reduced birth weights and increased adult body weights as compared to 1-g controls. Offspring were produced by mating young adult male and female rats that were adapted to 2-g centrifugation. Female rats underwent conception, pregnancy and birth at 2-g. Newborn pups in the 2-g condition were removed from the centrifuge and fostered to non-manipulated, newly parturient dams maintained at 1-g. Comparisons were made with 1-g stationary controls, also cross- fostered at birth. As compared to 1-g controls, birth weights of pups gestated and born at 2-g were significantly reduced. Pup body weights were significantly reduced until Postnatal day (P)12. Beginning on P63, body weights of 2-g-gestated offspring exceeded those of 1-g controls by 7-10%. Thus, prenatal rearing at 2-g restricts neonatal growth and increases adult body weight. Collectively, these data support the hypothesis that 2-g centrifugation alters the intrauterine milieu, thereby inducing persistent changes in adult phenotype.

  16. Modeling hospital infrastructure by optimizing quality, accessibility and efficiency via a mixed integer programming model. (United States)

    Ikkersheim, David; Tanke, Marit; van Schooten, Gwendy; de Bresser, Niels; Fleuren, Hein


    The majority of curative health care is organized in hospitals. As in most other countries, the current 94 hospital locations in the Netherlands offer almost all treatments, ranging from rather basic to very complex care. Recent studies show that concentration of care can lead to substantial quality improvements for complex conditions and that dispersion of care for chronic conditions may increase quality of care. In previous studies on allocation of hospital infrastructure, the allocation is usually only based on accessibility and/or efficiency of hospital care. In this paper, we explore the possibilities to include a quality function in the objective function, to give global directions to how the 'optimal' hospital infrastructure would be in the Dutch context. To create optimal societal value we have used a mathematical mixed integer programming (MIP) model that balances quality, efficiency and accessibility of care for 30 ICD-9 diagnosis groups. Typical aspects that are taken into account are the volume-outcome relationship, the maximum accepted travel times for diagnosis groups that may need emergency treatment and the minimum use of facilities. The optimal number of hospital locations per diagnosis group varies from 12-14 locations for diagnosis groups which have a strong volume-outcome relationship, such as neoplasms, to 150 locations for chronic diagnosis groups such as diabetes and chronic obstructive pulmonary disease (COPD). In conclusion, our study shows a new approach for allocating hospital infrastructure over a country or certain region that includes quality of care in relation to volume per provider that can be used in various countries or regions. In addition, our model shows that within the Dutch context chronic care may be too concentrated and complex and/or acute care may be too dispersed. Our approach can relatively easily be adopted towards other countries or regions and is very suitable to perform a 'what-if' analysis.


    Directory of Open Access Journals (Sweden)

    Parma Parma


    Full Text Available The purpose of this research is the renewal of learning methods into calculus courses with modules of computer-assisted learning through maple. The products produced in this study is in the form of teaching materials in the form of calculus course lab guide through maple. With the resulting product of this research will be useful theoretically and practically. Theoretically, it is expected to result in the learning principles that can improve the quality of learning calculus, so as to enrich the theory of the existing learning models.Type of research is the development, which is planned for 2 (two years of activity. The design of the study in the first year needs assessment was conducted to obtain data on the characteristics and the need for calculus learning model that has been done in mathematics education courses Se-Lombok Island. The instruments used are interviews and questionnaires were imposed on the calculus course lecturers, heads of university and college students. The collected data was then analyzed using descriptive analysis techniques.The study design in the second year is the development of research that aims to develop software products in the form of learning calculus with computer-aided learning model through the maple. Learning products developed include: (1. Models and learning strategies; (2. The device in the form of learning, Syllabus, Unit Learning Event, Book Teaching Material Calculus computer-assisted, student worksheet; and (3 test the learning outcomes. Product trials involving calculus course lecturers, heads of university and student mathematics education courses Se-Lombok. The test results were analyzed using descriptive statistics   

  18. [Opportunities of team psychotherapy in hospice-palliative care. Results of a model program]. (United States)

    Kegye, Adrienne; Pádi, Eva


    Hospice care has been developing for 20 years. In the framework of the high standard palliative treatment hospice care involves symptom control as well as the psychosocial support of patients and their relatives. Developed as a model, the aims of the psychoeducational and supporting program were to reduce the psychological symptoms, form the active coping mechanisms, reduce feeling of isolation and help the communication of the patients treated in the Oncological Rehabilitation and Hospice Department of the Vaszary Kolos Hospital in Esztergom, Hungary. The program consisted of the following elements: analiticly orientated team psychoterapy, creative occupation, physiotherapy, dietetics guidance and oncological consulting. During the model supporting program the authors observed significant changes in both the patients and staff members which had a positive impact on the department's operation and the atmosphere, too. The model program showed that in team work can give beneficial and cost-efficient psychosocial support to patients using the carers' energy in the most effective way.

  19. Culturally relevant model program to prevent and reduce agricultural injuries. (United States)

    Helitzer, D L; Hathorn, G; Benally, J; Ortega, C


    Limited research has explored pesticide injury prevention among American Indian farmers. In a five-year agricultural intervention, a university-community partnership, including the University of New Mexico School of Medicine, New Mexico State University, Shiprock Area Cooperative Extension Service, and Navajo Nation communities, used a culturally relevant model to introduce and maintain safe use of integrated pest management techniques. We applied the Diffusion of Innovations theory and community-based approaches to tailor health promotion strategies for our intervention. In a longitudinal study with repeated measures, we trained six "model farmers" to be crop management experts in pesticide safety, application, and control. Subsequently, these model farmers worked with 120 farm families randomized into two groups: intervention (Group 1) and delayed intervention (Group 2). Measurements included a walk-through analysis, test of knowledge and attitudes, and yield analysis. Both groups demonstrated improvements in pesticide storage behaviors after training. Test scores regarding safety practices improved significantly: from 57.3 to 72.4 for Group 1 and from 52.6 to 76.3 for Group 2. Group 1 maintained their knowledge and safety practices after the intervention. Attitudes about pesticides and communication of viewpoints changed across the study years. With pesticides and fertilizer, the number of corn ears increased by 56.3% and yield (kg m(-2)) of alfalfa increased by 41.2%. The study combined traditional farming practices with culturally relevant approaches and behavior change theory to affect knowledge, safety practices, attitudes, communication channels, and crop yield. Storage behaviors, use of pesticides and safety and application equipment, and safety practice knowledge changed significantly, as did attitudes about social networking, social support, and the compatibility and relative advantage of pesticides for farms.

  20. Assessing Aegis Program Transition to an Open-Architecture Model (United States)


    physical architecture of the combat system in a way that ensures broad applicability of the physical plant and by mod- ernizing the in-service fleet...tatio n C h o ices o n th e Fleet 45 Figure 4.6 Aegis Fleet Composition Under the IWS and Legacy Models (FYs 2010–2060) RAND RR161-4.6 N u m b e r...hardware follows a hockey stick pattern, whereby the cost of purchas- ing the most recent technology is greatest, the cost of purchasing one- generation-old

  1. Translation techniques for distributed-shared memory programming models

    Energy Technology Data Exchange (ETDEWEB)

    Fuller, Douglas James [Iowa State Univ., Ames, IA (United States)


    The high performance computing community has experienced an explosive improvement in distributed-shared memory hardware. Driven by increasing real-world problem complexity, this explosion has ushered in vast numbers of new systems. Each new system presents new challenges to programmers and application developers. Part of the challenge is adapting to new architectures with new performance characteristics. Different vendors release systems with widely varying architectures that perform differently in different situations. Furthermore, since vendors need only provide a single performance number (total MFLOPS, typically for a single benchmark), they only have strong incentive initially to optimize the API of their choice. Consequently, only a fraction of the available APIs are well optimized on most systems. This causes issues porting and writing maintainable software, let alone issues for programmers burdened with mastering each new API as it is released. Also, programmers wishing to use a certain machine must choose their API based on the underlying hardware instead of the application. This thesis argues that a flexible, extensible translator for distributed-shared memory APIs can help address some of these issues. For example, a translator might take as input code in one API and output an equivalent program in another. Such a translator could provide instant porting for applications to new systems that do not support the application's library or language natively. While open-source APIs are abundant, they do not perform optimally everywhere. A translator would also allow performance testing using a single base code translated to a number of different APIs. Most significantly, this type of translator frees programmers to select the most appropriate API for a given application based on the application (and developer) itself instead of the underlying hardware.

  2. Evidence, models, conservation programs and limits to management (United States)

    Nichols, J.D.


    Walsh et al. (2012) emphasized the importance of obtaining evidence to assess the effects of management actions on state variables relevant to objectives of conservation programs. They focused on malleefowl Leipoa ocellata, ground-dwelling Australian megapodes listed as vulnerable. They noted that although fox Vulpes vulpes baiting is the main management action used in malleefowl conservation throughout southern Australia, evidence of the effectiveness of this action is limited and currently debated. Walsh et al. (2012) then used data from 64 sites monitored for malleefowl and foxes over 23 years to assess key functional relationships relevant to fox control as a conservation action for malleefowl. In one set of analyses, Walsh et al. (2012) focused on two relationships: fox baiting investment versus fox presence, and fox presence versus malleefowl population size and rate of population change. Results led to the counterintuitive conclusion that increases in investments in fox control produced slight decreases in malleefowl population size and growth. In a second set of analyses, Walsh et al. (2012) directly assessed the relationship between investment in fox baiting and malleefowl population size and rate of population change. This set of analyses showed no significant relationship between investment in fox population control and malleefowl population growth. Both sets of analyses benefited from the incorporation of key environmental covariates hypothesized to influence these management relationships. Walsh et al. (2012) concluded that "in most situations, malleefowl conservation did not effectively benefit from fox baiting at current levels of investment." In this commentary, I discuss the work of Walsh et al. (2012) using the conceptual framework of structured decision making (SDM). In doing so, I accept their analytic results and associated conclusions as accurate and discuss basic ideas about evidence, conservation and limits to management.

  3. NASA's Upper Atmosphere Research Program (UARP) and Atmospheric Chemistry Modeling and Analysis Program (ACMAP): Research Summaries 1997-1999 (United States)

    Kurylo, M. J.; DeCola, P. L.; Kaye, J. A.


    Under the mandate contained in the FY 1976 NASA Authorization Act, the National Aeronautics and Space Administration (NASA) has developed and is implementing a comprehensive program of research, technology development, and monitoring of the Earth's upper atmosphere, with emphasis on the upper troposphere and stratosphere. This program aims at expanding our chemical and physical understanding to permit both the quantitative analysis of current perturbations as well as the assessment of possible future changes in this important region of our environment. It is carried out jointly by the Upper Atmosphere Research Program (UARP) and the Atmospheric Chemistry Modeling and Analysis Program (ACMAP), both managed within the Research Division in the Office of Earth Science at NASA. Significant contributions to this effort have also been provided by the Atmospheric Effects of Aviation Project (AEAP) of NASA's Office of Aero-Space Technology. The long-term objectives of the present program are to perform research to: understand the physics, chemistry, and transport processes of the upper troposphere and the stratosphere and their control on the distribution of atmospheric chemical species such as ozone; assess possible perturbations to the composition of the atmosphere caused by human activities and natural phenomena (with a specific emphasis on trace gas geographical distributions, sources, and sinks and the role of trace gases in defining the chemical composition of the upper atmosphere); understand the processes affecting the distributions of radiatively active species in the atmosphere, and the importance of chemical-radiative-dynamical feedbacks on the meteorology and climatology of the stratosphere and troposphere; and understand ozone production, loss, and recovery in an atmosphere with increasing abundances of greenhouse gases. The current report is composed of two parts. Part 1 summarizes the objectives, status, and accomplishments of the research tasks supported

  4. An Analysis of OpenACC Programming Model: Image Processing Algorithms as a Case Study

    Directory of Open Access Journals (Sweden)

    M. J. Mišić


    Full Text Available Graphics processing units and similar accelerators have been intensively used in general purpose computations for several years. In the last decade, GPU architecture and organization changed dramatically to support an ever-increasing demand for computing power. Along with changes in hardware, novel programming models have been proposed, such as NVIDIA’s Compute Unified Device Architecture (CUDA and Open Computing Language (OpenCL by Khronos group. Although numerous commercial and scientific applications have been developed using these two models, they still impose a significant challenge for less experienced users. There are users from various scientific and engineering communities who would like to speed up their applications without the need to deeply understand a low-level programming model and underlying hardware. In 2011, OpenACC programming model was launched. Much like OpenMP for multicore processors, OpenACC is a high-level, directive-based programming model for manycore processors like GPUs. This paper presents an analysis of OpenACC programming model and its applicability in typical domains like image processing. Three, simple image processing algorithms have been implemented for execution on the GPU with OpenACC. The results were compared with their sequential counterparts, and results are briefly discussed.

  5. Research program to develop and validate conceptual models for flow and transport through unsaturated, fractured rock

    International Nuclear Information System (INIS)

    Glass, R.J.; Tidwell, V.C.


    As part of the Yucca Mountain Project, our research program to develop and validate conceptual models for flow and transport through unsaturated fractured rock integrates fundamental physical experimentation with conceptual model formulation and mathematical modeling. Our research is directed toward developing and validating macroscopic, continuum-based models and supporting effective property models because of their widespread utility within the context of this project. Success relative to the development and validation of effective property models is predicted on a firm understanding of the basic physics governing flow through fractured media, specifically in the areas of unsaturated flow and transport in a single fracture and fracture-matrix interaction

  6. Research program to develop and validate conceptual models for flow and transport through unsaturated, fractured rock

    International Nuclear Information System (INIS)

    Glass, R.J.; Tidwell, V.C.


    As part of the Yucca Mountain Project, our research program to develop and validate conceptual models for flow and transport through unsaturated fractured rock integrates fundamental physical experimentation with conceptual model formulation and mathematical modeling. Our research is directed toward developing and validating macroscopic, continuum-based models and supporting effective property models because of their widespread utility within the context of this project. Success relative to the development and validation of effective property models is predicated on a firm understanding of the basic physics governing flow through fractured media, specifically in the areas of unsaturated flow and transport in a single fracture and fracture-matrix interaction. 43 refs

  7. A multi-objective programming model for assessment the GHG emissions in MSW management

    International Nuclear Information System (INIS)

    Mavrotas, George; Skoulaxinou, Sotiria; Gakis, Nikos; Katsouros, Vassilis; Georgopoulou, Elena


    Highlights: • The multi-objective multi-period optimization model. • The solution approach for the generation of the Pareto front with mathematical programming. • The very detailed description of the model (decision variables, parameters, equations). • The use of IPCC 2006 guidelines for landfill emissions (first order decay model) in the mathematical programming formulation. - Abstract: In this study a multi-objective mathematical programming model is developed for taking into account GHG emissions for Municipal Solid Waste (MSW) management. Mathematical programming models are often used for structure, design and operational optimization of various systems (energy, supply chain, processes, etc.). The last twenty years they are used all the more often in Municipal Solid Waste (MSW) management in order to provide optimal solutions with the cost objective being the usual driver of the optimization. In our work we consider the GHG emissions as an additional criterion, aiming at a multi-objective approach. The Pareto front (Cost vs. GHG emissions) of the system is generated using an appropriate multi-objective method. This information is essential to the decision maker because he can explore the trade-offs in the Pareto curve and select his most preferred among the Pareto optimal solutions. In the present work a detailed multi-objective, multi-period mathematical programming model is developed in order to describe the waste management problem. Apart from the bi-objective approach, the major innovations of the model are (1) the detailed modeling considering 34 materials and 42 technologies, (2) the detailed calculation of the energy content of the various streams based on the detailed material balances, and (3) the incorporation of the IPCC guidelines for the CH 4 generated in the landfills (first order decay model). The equations of the model are described in full detail. Finally, the whole approach is illustrated with a case study referring to the application

  8. A Teacher Training Model for Improving Social Facilitation in the Inclusive Program (United States)

    Robinson, Suzanne; Myck-Wayne, Janice


    The twofold purpose of this article is to highlight the importance of fostering social competence within inclusive preschool programs and to describe a model for training teachers in research-based social facilitation strategies so as to promote social interaction between children with and without disabilities. This model was developed to address…

  9. A model of Dutch agriculture based on Positive Mathematical Programming with regional and environmental applications

    NARCIS (Netherlands)

    Helming, J.F.M.


    The purpose of this thesis is to describe the current state-of-the-art of the Dutch Regionalized Agricultural Model (DRAM). DRAM can be defined as a comparative static, partial equilibrium, mathematical programming and regionalized model of the Dutch agricultural sector with environmental aspects.

  10. Modeling Clinic for Industrial Mathematics: A Collaborative Project Under Erasmus+ Program

    DEFF Research Database (Denmark)

    Jurlewicz, Agnieszka; Nunes, Claudia; Russo, Giovanni


    Modeling Clinic for Industrial Mathematics (MODCLIM) is a Strategic Partnership for the Development of Training Workshops and Modeling Clinic for Industrial Mathematics, funded through the European Commission under the Erasmus Plus Program, Key Action 2: Cooperation for innovation and the exchange...

  11. Quality Assurance for Postgraduate Programs: Design of a Model Applied on a University in Chile (United States)

    Careaga Butter, Marcelo; Meyer Aguilera, Eduardo; Badilla Quintana, María Graciela; Jiménez Pérez, Laura; Sepúlveda Valenzuela, Eileen


    The quality of Education in Chile is a controversial topic that has been in the public debate in the last several years. To ensure quality in graduate programs, accreditation is compulsory. The current article presents a model to improve the process of self-regulation. The main objective was to design a Model of Quality Assurance for Postgraduate…

  12. Evaluation of HIV Risk Reduction and Intervention Programs via Latent Growth Model. (United States)

    Wang, Jichuan; Siegal, Harvey A.; Falck, Russel S.; Carlson, Robert G.; Rahman, Ahmmed


    Demonstrates how the latent growth model can be applied to the evaluation of programs targeting HIV risk behavior among drug users. Multigroup piecewise latent growth models were fit to longitudinal data with three repeated response measures. Participants were 430 drug users and their sex partners. (SLD)

  13. Evaluating Vocational Educators' Training Programs: A Kirkpatrick-Inspired Evaluation Model (United States)

    Ravicchio, Fabrizio; Trentin, Guglielmo


    The aim of the article is to describe the assessment model adopted by the SCINTILLA Project, a project in Italy aimed at the online vocational training of young, seriously-disabled subjects and their subsequent work inclusion in smart-work mode. It will thus describe the model worked out for evaluation of the training program conceived for the…

  14. The Repeated School-to-Work Transition: Evidence from a Dynamic Programming Model

    DEFF Research Database (Denmark)

    Nielsen, Helena Skyt

    by youths after high school graduation. It is assumed that the decision is taken year by year, and it is analyzed in a discrete choice dynamic programming model. In this forward-looking behavioral model, it is shown that a small bonus would remove interruptions of the educational careers just after high...

  15. Applying the International Medical Graduate Program Model to Alleviate the Supply Shortage of Accounting Doctoral Faculty (United States)

    HassabElnaby, Hassan R.; Dobrzykowski, David D.; Tran, Oanh Thikie


    Accounting has been faced with a severe shortage in the supply of qualified doctoral faculty. Drawing upon the international mobility of foreign scholars and the spirit of the international medical graduate program, this article suggests a model to fill the demand in accounting doctoral faculty. The underlying assumption of the suggested model is…

  16. CORCON: a computer program for modelling molten fuel/concrete interactions

    International Nuclear Information System (INIS)

    Muir, J.F.


    A computer program modelling the interaction between molten core materials and structural concrete is being developed to provide a capability for making quantitative estimates of reactor fuel-melt accidents. The principal phenomenological models, inter-component heat transfer, concrete erosion, and melt/gas chemical reactions, are described. A code test comparison calculation is discussed

  17. The Proposed Model of Collaborative Virtual Learning Environment for Introductory Programming Course (United States)

    Othman, Mahfudzah; Othman, Muhaini


    This paper discusses the proposed model of the collaborative virtual learning system for the introductory computer programming course which uses one of the collaborative learning techniques known as the "Think-Pair-Share". The main objective of this study is to design a model for an online learning system that facilitates the…

  18. A new neural network model for solving random interval linear programming problems. (United States)

    Arjmandzadeh, Ziba; Safi, Mohammadreza; Nazemi, Alireza


    This paper presents a neural network model for solving random interval linear programming problems. The original problem involving random interval variable coefficients is first transformed into an equivalent convex second order cone programming problem. A neural network model is then constructed for solving the obtained convex second order cone problem. Employing Lyapunov function approach, it is also shown that the proposed neural network model is stable in the sense of Lyapunov and it is globally convergent to an exact satisfactory solution of the original problem. Several illustrative examples are solved in support of this technique. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. Possibility/Necessity-Based Probabilistic Expectation Models for Linear Programming Problems with Discrete Fuzzy Random Variables

    Directory of Open Access Journals (Sweden)

    Hideki Katagiri


    Full Text Available This paper considers linear programming problems (LPPs where the objective functions involve discrete fuzzy random variables (fuzzy set-valued discrete random variables. New decision making models, which are useful in fuzzy stochastic environments, are proposed based on both possibility theory and probability theory. In multi-objective cases, Pareto optimal solutions of the proposed models are newly defined. Computational algorithms for obtaining the Pareto optimal solutions of the proposed models are provided. It is shown that problems involving discrete fuzzy random variables can be transformed into deterministic nonlinear mathematical programming problems which can be solved through a conventional mathematical programming solver under practically reasonable assumptions. A numerical example of agriculture production problems is given to demonstrate the applicability of the proposed models to real-world problems in fuzzy stochastic environments.

  20. Evaluation model applied to TRANSPETRO's Marine Terminals Standardization Program

    Energy Technology Data Exchange (ETDEWEB)

    Almeida, Maria Fatima Ludovico de; Mueller, Gabriela [Pontificia Universidade Catolica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ (Brazil). Instituto Tecnologico; Garcia, Luciano Maldonado [TRANSPETRO - PETROBRAS Transporte S.A., Rio de Janeiro, RJ (Brazil)


    This paper describes an innovative evaluation model applied to TRANSPETRO's 'Marine Terminals Standardization Program' based on updating approaches of programs evaluation and organizational learning. Since the program was launched in 2004, the need for having an evaluation model able to evaluate its implementation progress, to measure the degree of standards compliance and its potential economic, social and environmental impacts has become evident. Within a vision of safe and environmentally responsible operations of marine terminals, this evaluation model was jointly designed by TRANSPETRO and PUC-Rio to promote continuous improvement and learning in operational practices and in the standardization process itself. TRANSPETRO believes that standardization supports its services and management innovation capability by creating objective and internationally recognized parameters, targets and metrology for its business activities. The conceptual model and application guidelines for this important tool are presented in this paper, as well as the next steps towards its implementation. (author)

  1. Model-based schedulability analysis of safety critical hard real-time Java programs

    DEFF Research Database (Denmark)

    Bøgholm, Thomas; Kragh-Hansen, Henrik; Olsen, Petur


    In this paper, we present a novel approach to schedulability analysis of Safety Critical Hard Real-Time Java programs. The approach is based on a translation of programs, written in the Safety Critical Java profile introduced in [21] for the Java Optimized Processor [18], to timed automata models...... verifiable by the Uppaal model checker [23]. Schedulability analysis is reduced to a simple reachability question, checking for deadlock freedom. Model-based schedulability analysis has been developed by Amnell et al. [2], but has so far only been applied to high level specifications, not actual...... implementations in a programming language. Experiments show that model-based schedulability analysis can result in a more accurate analysis than possible with traditional approaches, thus systems deemed non-schedulable by traditional approaches may in fact be schedulable, as detected by our analysis. Our approach...

  2. Support Method of Model Description Error Detection on a Programming Environment for Multi Agent Simulation (United States)

    Itakura, Kota; Hatakeyama, Go; Akiyoshi, Masanori; Komoda, Norihisa

    Recently, there are various proposals on tool for multi-agent simulation. However, in such simulation tools, analysts who do not have programming skill spend a lot of time to develop programs because notation of simulation models is not defined sufficiently and programming language is varied on tools. To solve this problem, a programming environment that defines the notation of simulation model has poposed. In this environment, analysts can design simulation with a graph representation and get the program code without writing programs. However, it is difficult to find errors that cause unintended behavior in simulation. Therefore, we propose a support method as a model debugger which helps users to find errors. The debugger generates candidates of errors, using a user's report of unintended behavior based on “typical report patterns”. Candidates of errors are extracted from “tree structure of error-inducing factors” that consists of source patterns of errors. In this paper, we executed experiments that compare time needed for examinees to find errors. Experimental results show the time to find errors by utilizing our model debugger is shortened.

  3. A software complex intended for constructing applied models and meta-models on the basis of mathematical programming principles

    Directory of Open Access Journals (Sweden)

    Михаил Юрьевич Чернышов


    Full Text Available A software complex (SC elaborated by the authors on the basis of the language LMPL and representing a software tool intended for synthesis of applied software models and meta-models constructed on the basis of mathematical programming (MP principles is described. LMPL provides for an explicit form of declarative representation of MP-models, presumes automatic constructing and transformation of models and the capability of adding external software packages. The following software versions of the SC have been implemented: 1 a SC intended for representing the process of choosing an optimal hydroelectric power plant model (on the principles of meta-modeling and 2 a SC intended for representing the logic-sense relations between the models of a set of discourse formations in the discourse meta-model.

  4. Sustainable Cost Models for mHealth at Scale: Modeling Program Data from m4RH Tanzania. (United States)

    Mangone, Emily R; Agarwal, Smisha; L'Engle, Kelly; Lasway, Christine; Zan, Trinity; van Beijma, Hajo; Orkis, Jennifer; Karam, Robert


    There is increasing evidence that mobile phone health interventions ("mHealth") can improve health behaviors and outcomes and are critically important in low-resource, low-access settings. However, the majority of mHealth programs in developing countries fail to reach scale. One reason may be the challenge of developing financially sustainable programs. The goal of this paper is to explore strategies for mHealth program sustainability and develop cost-recovery models for program implementers using 2014 operational program data from Mobile for Reproductive Health (m4RH), a national text-message (SMS) based health communication service in Tanzania. We delineated 2014 m4RH program costs and considered three strategies for cost-recovery for the m4RH program: user pay-for-service, SMS cost reduction, and strategic partnerships. These inputs were used to develop four different cost-recovery scenarios. The four scenarios leveraged strategic partnerships to reduce per-SMS program costs and create per-SMS program revenue and varied the structure for user financial contribution. Finally, we conducted break-even and uncertainty analyses to evaluate the costs and revenues of these models at the 2014 user volume (125,320) and at any possible break-even volume. In three of four scenarios, costs exceeded revenue by $94,596, $34,443, and $84,571 at the 2014 user volume. However, these costs represented large reductions (54%, 83%, and 58%, respectively) from the 2014 program cost of $203,475. Scenario four, in which the lowest per-SMS rate ($0.01 per SMS) was negotiated and users paid for all m4RH SMS sent or received, achieved a $5,660 profit at the 2014 user volume. A Monte Carlo uncertainty analysis demonstrated that break-even points were driven by user volume rather than variations in program costs. These results reveal that breaking even was only probable when all SMS costs were transferred to users and the lowest per-SMS cost was negotiated with telecom partners. While this

  5. Sustainable Cost Models for mHealth at Scale: Modeling Program Data from m4RH Tanzania.

    Directory of Open Access Journals (Sweden)

    Emily R Mangone

    Full Text Available There is increasing evidence that mobile phone health interventions ("mHealth" can improve health behaviors and outcomes and are critically important in low-resource, low-access settings. However, the majority of mHealth programs in developing countries fail to reach scale. One reason may be the challenge of developing financially sustainable programs. The goal of this paper is to explore strategies for mHealth program sustainability and develop cost-recovery models for program implementers using 2014 operational program data from Mobile for Reproductive Health (m4RH, a national text-message (SMS based health communication service in Tanzania.We delineated 2014 m4RH program costs and considered three strategies for cost-recovery for the m4RH program: user pay-for-service, SMS cost reduction, and strategic partnerships. These inputs were used to develop four different cost-recovery scenarios. The four scenarios leveraged strategic partnerships to reduce per-SMS program costs and create per-SMS program revenue and varied the structure for user financial contribution. Finally, we conducted break-even and uncertainty analyses to evaluate the costs and revenues of these models at the 2014 user volume (125,320 and at any possible break-even volume.In three of four scenarios, costs exceeded revenue by $94,596, $34,443, and $84,571 at the 2014 user volume. However, these costs represented large reductions (54%, 83%, and 58%, respectively from the 2014 program cost of $203,475. Scenario four, in which the lowest per-SMS rate ($0.01 per SMS was negotiated and users paid for all m4RH SMS sent or received, achieved a $5,660 profit at the 2014 user volume. A Monte Carlo uncertainty analysis demonstrated that break-even points were driven by user volume rather than variations in program costs.These results reveal that breaking even was only probable when all SMS costs were transferred to users and the lowest per-SMS cost was negotiated with telecom partners

  6. Treatment effects model for assessing disease management: measuring outcomes and strengthening program management. (United States)

    Wendel, Jeanne; Dumitras, Diana


    This paper describes an analytical methodology for obtaining statistically unbiased outcomes estimates for programs in which participation decisions may be correlated with variables that impact outcomes. This methodology is particularly useful for intraorganizational program evaluations conducted for business purposes. In this situation, data is likely to be available for a population of managed care members who are eligible to participate in a disease management (DM) program, with some electing to participate while others eschew the opportunity. The most pragmatic analytical strategy for in-house evaluation of such programs is likely to be the pre-intervention/post-intervention design in which the control group consists of people who were invited to participate in the DM program, but declined the invitation. Regression estimates of program impacts may be statistically biased if factors that impact participation decisions are correlated with outcomes measures. This paper describes an econometric procedure, the Treatment Effects model, developed to produce statistically unbiased estimates of program impacts in this type of situation. Two equations are estimated to (a) estimate the impacts of patient characteristics on decisions to participate in the program, and then (b) use this information to produce a statistically unbiased estimate of the impact of program participation on outcomes. This methodology is well-established in economics and econometrics, but has not been widely applied in the DM outcomes measurement literature; hence, this paper focuses on one illustrative application.

  7. HPC parallel programming model for gyrokinetic MHD simulation

    International Nuclear Information System (INIS)

    Naitou, Hiroshi; Yamada, Yusuke; Tokuda, Shinji; Ishii, Yasutomo; Yagi, Masatoshi


    The 3-dimensional gyrokinetic PIC (particle-in-cell) code for MHD simulation, Gpic-MHD, was installed on SR16000 (“Plasma Simulator”), which is a scalar cluster system consisting of 8,192 logical cores. The Gpic-MHD code advances particle and field quantities in time. In order to distribute calculations over large number of logical cores, the total simulation domain in cylindrical geometry was broken up into N DD-r × N DD-z (number of radial decomposition times number of axial decomposition) small domains including approximately the same number of particles. The axial direction was uniformly decomposed, while the radial direction was non-uniformly decomposed. N RP replicas (copies) of each decomposed domain were used (“particle decomposition”). The hybrid parallelization model of multi-threads and multi-processes was employed: threads were parallelized by the auto-parallelization and N DD-r × N DD-z × N RP processes were parallelized by MPI (message-passing interface). The parallelization performance of Gpic-MHD was investigated for the medium size system of N r × N θ × N z = 1025 × 128 × 128 mesh with 4.196 or 8.192 billion particles. The highest speed for the fixed number of logical cores was obtained for two threads, the maximum number of N DD-z , and optimum combination of N DD-r and N RP . The observed optimum speeds demonstrated good scaling up to 8,192 logical cores. (author)

  8. Educational Program Evaluation Model, From the Perspective of the New Theories

    Directory of Open Access Journals (Sweden)

    Soleiman Ahmady


    Full Text Available Introduction: This study is focused on common theories that influenced the history of program evaluation and introduce the educational program evaluation proposal format based on the updated theory. Methods: Literature searches were carried out in March-December 2010 with a combination of key words, MeSH terms and other free text terms as suitable for the purpose. A comprehensive search strategy was developed to search Medline by the PubMed interface, ERIC (Education Resources Information Center and the main journal of medical education regarding current evaluation models and theories. We included all study designs in our study. We found 810 articles related to our topic, and finally 63 with the full text article included. We compared documents and used expert consensus for selection the best model. Results: We found that the complexity theory using logic model suggests compatible evaluation proposal formats, especially with new medical education programs. Common components of a logic model are: situation, inputs, outputs, and outcomes that our proposal format is based on. Its contents are: title page, cover letter, situation and background, introduction and rationale, project description, evaluation design, evaluation methodology, reporting, program evaluation management, timeline, evaluation budget based on the best evidences, and supporting documents. Conclusion: We found that the logic model is used for evaluation program planning in many places, but more research is needed to see if it is suitable for our context.

  9. Implementing three evidence-based program models: early lessons from the Teen Pregnancy Prevention Replication Study. (United States)

    Kelsey, Meredith; Layzer, Jean


    This article describes some of the early implementation challenges faced by nine grantees participating in the Teen Pregnancy Prevention Replication Study and their response to them. The article draws on information collected as part of a comprehensive implementation study. Sources include site and program documents; program officer reports; notes from site investigation, selection and negotiation; ongoing communications with grantees as part of putting the study into place; and semi-structured interviews with program staff. The issues faced by grantees in implementing evidence-based programs designed to prevent teen pregnancy varied by program model. Grantees implementing a classroom-based curriculum faced challenges in delivering the curriculum within the constraints of school schedules and calendars (program length and size of class). Grantees implementing a culturally tailored curriculum faced a series of challenges, including implementing the intervention as part of the regular school curriculum in schools with diverse populations; low attendance when delivered as an after-school program; and resistance on the part of schools to specific curriculum content. The third set of grantees, implementing a program in clinics, faced challenges in identifying and recruiting young women into the program and in retaining young women once they were in the program. The experiences of these grantees reflect some of the complexities that should be carefully considered when choosing to replicate evidence-based programs. The Teen Pregnancy Prevention replication study will provide important context for assessing the effectiveness of some of the more widely replicated evidence-based programs. Copyright © 2014 Society for Adolescent Health and Medicine. All rights reserved.

  10. A case study: the evolution of a "facilitator model" liaison program in an academic medical library. (United States)

    Crossno, Jon E; DeShay, Claudia H; Huslig, Mary Ann; Mayo, Helen G; Patridge, Emily F


    What type of liaison program would best utilize both librarians and other library staff to effectively promote library services and resources to campus departments? The case is an academic medical center library serving a large, diverse campus. The library implemented a "facilitator model" program to provide personalized service to targeted clients that allowed for maximum staff participation with limited subject familiarity. To determine success, details of liaison-contact interactions and results of liaison and department surveys were reviewed. Liaisons successfully recorded 595 interactions during the program's first 10 months of existence. A significant majority of departmental contact persons (82.5%) indicated they were aware of the liaison program, and 75% indicated they preferred email communication. The "facilitator model" provides a well-defined structure for assigning liaisons to departments or groups; however, training is essential to ensure that liaisons are able to communicate effectively with their clients.

  11. F-Nets and Software Cabling: Deriving a Formal Model and Language for Portable Parallel Programming (United States)

    DiNucci, David C.; Saini, Subhash (Technical Monitor)


    Parallel programming is still being based upon antiquated sequence-based definitions of the terms "algorithm" and "computation", resulting in programs which are architecture dependent and difficult to design and analyze. By focusing on obstacles inherent in existing practice, a more portable model is derived here, which is then formalized into a model called Soviets which utilizes a combination of imperative and functional styles. This formalization suggests more general notions of algorithm and computation, as well as insights into the meaning of structured programming in a parallel setting. To illustrate how these principles can be applied, a very-high-level graphical architecture-independent parallel language, called Software Cabling, is described, with many of the features normally expected from today's computer languages (e.g. data abstraction, data parallelism, and object-based programming constructs).

  12. Formal models of grammar: The Minimalist Program and constraint-based grammars – HPSG and LFG

    Directory of Open Access Journals (Sweden)

    Érica dos S. Rodrigues


    Full Text Available This paper aims at briefly presenting the main tendencies associated with the most productive formal models of grammar currently under scrutiny: the Minimalist Program, a recent version of generative linguistics; Lexical Functional Grammar; and Head- Driven Phrase Structure Grammar. A basic picture of the main concerns of these formal models of language emerges from the comparison and contrast between their main objectives, the formal mechanisms they adopt and the kind of research tendency each model represents.

  13. Yield curve event tree construction for multi stage stochastic programming models

    DEFF Research Database (Denmark)

    Rasmussen, Kourosh Marjani; Poulsen, Rolf

    Dynamic stochastic programming (DSP) provides an intuitive framework for modelling of financial portfolio choice problems where market frictions are present and dynamic re--balancing has a significant effect on initial decisions. The application of these models in practice, however, is limited by...... of yield curves. Such trees may then be used to represent the underlying uncertainty in DSP models of fixed income risk and portfolio management....

  14. Applying the chronic care model to an employee benefits program: a qualitative inquiry. (United States)

    Schauer, Gillian L; Wilson, Mark; Barrett, Barbara; Honeycutt, Sally; Hermstad, April K; Kegler, Michelle C


    To assess how employee benefits programs may strengthen and/or complement elements of the chronic care model (CCM), a framework used by health systems to improve chronic illness care. A qualitative inquiry consisting of semi-structured interviews with employee benefit administrators and partners from a self-insured, self-administered employee health benefits program was conducted at a large family-owned business in southwest Georgia. Results indicate that the employer adapted and used many health system-related elements of the CCM in the design of their benefit program. Data also suggest that the employee benefits program contributed to self-management skills and to informing and activating patients to interact with the health system. Findings suggest that employee benefits programs can use aspects of the CCM in their own benefit design, and can structure their benefits to contribute to patient-related elements from the CCM.

  15. Light Water Reactor Sustainability Program Advanced Seismic Soil Structure Modeling

    Energy Technology Data Exchange (ETDEWEB)

    Bolisetti, Chandrakanth [Idaho National Lab. (INL), Idaho Falls, ID (United States); Coleman, Justin Leigh [Idaho National Lab. (INL), Idaho Falls, ID (United States)


    of interest. The specific nonlinear soil behavior included in the NLSSI calculation presented in this report is gapping and sliding. Other NLSSI effects are not included in the calculation. The results presented in this report document initial model runs in the linear and nonlinear analysis process. Final comparisons between traditional and advanced SPRA will be presented in the September 30th deliverable.



    TEMİZKAN, Rahman; TEMİZKAN, Saadet Pınar


    Abstract Referring to the fact that the tourism sector offers a lot of job opportunities tourism undergraduate programs have an important place in the tourism education system in Turkey.Due to the importance of foreign language (FL) skills in the tourism sector, it is necessary to revise foreign language teaching models of these programs. The purpose of the study is to determine the perceptions, expectations and suggestions of students and faculty members regarding the foreign language teachi...

  17. A goal programming model for environmental policy analysis: Application to Spain

    International Nuclear Information System (INIS)

    San Cristóbal, José Ramón


    Sustainable development has become an important part of international and national approaches to integrate economic, environmental, social and ethical considerations so that a good quality of life can be enjoyed by current and future generations for as long as possible. However, nowadays sustainable development is threatened by industrial pollution emissions which cause serious environmental problems. Due to a lack of adequate quantitative models for environmental policy analysis, there is a strong need for analytical models in order to know the effects of environmental policies. In the present paper, a goal programming model, based on an environmental/input–output linear programming model, is developed and applied to the Spanish economy. The model combines relations between economic, energy, social and environmental effects, providing valuable information for policy-makers in order to define and examine the different goals that must be implemented to reach sustainability. - Highlights: ► In this paper a goal programming model is developed. ► The model considers environmental, energy, social and economic goals. ► The model shows the effects of a reduction in greenhouse gasses emission and energy requirements. ► The model is applied to the Spanish economy.


    Directory of Open Access Journals (Sweden)

    V. A. Gerasimova


    Full Text Available By the analysis results of scientific works in the field of competence-based approach in education authors proved need of computer support of the planning and development stage of the main educational program, they developed the main educational program structure automatic formation model on the graphs basis, offered the integrated criterion of an discipline assessment and developed a strategic map of a discipline complex assessment. The executed theoretical researches are a basis for creation of the main educational program planning and development support automated system.

  19. Application of fuzzy goal programming approach to multi-objective linear fractional inventory model (United States)

    Dutta, D.; Kumar, Pavan


    In this paper, we propose a model and solution approach for a multi-item inventory problem without shortages. The proposed model is formulated as a fractional multi-objective optimisation problem along with three constraints: budget constraint, space constraint and budgetary constraint on ordering cost of each item. The proposed inventory model becomes a multiple criteria decision-making (MCDM) problem in fuzzy environment. This model is solved by multi-objective fuzzy goal programming (MOFGP) approach. A numerical example is given to illustrate the proposed model.

  20. Developing an active implementation model for a chronic disease management program

    Directory of Open Access Journals (Sweden)

    Margrethe Smidth


    Full Text Available Background: Introduction and diffusion of new disease management programs in healthcare is usually slow, but active theory-driven implementation seems to outperform other implementation strategies. However, we have only scarce evidence on the feasibility and real effect of such strategies in complex primary care settings where municipalities, general practitioners and hospitals should work together. The Central Denmark Region recently implemented a disease management program for chronic obstructive pulmonary disease (COPD which presented an opportunity to test an active implementation model against the usual implementation model. The aim of the present paper is to describe the development of an active implementation model using the Medical Research Council’s model for complex interventions and the Chronic Care Model.Methods: We used the Medical Research Council’s five-stage model for developing complex interventions to design an implementation model for a disease management program for COPD. First, literature on implementing change in general practice was scrutinised and empirical knowledge was assessed for suitability. In phase I, the intervention was developed; and in phases II and III, it was tested in a block- and cluster-randomised study. In phase IV, we evaluated the feasibility for others to use our active implementation model. Results: The Chronic Care Model was identified as a model for designing efficient implementation elements. These elements were combined into a multifaceted intervention, and a timeline for the trial in a randomised study was decided upon in accordance with the five stages in the Medical Research Council’s model; this was captured in a PaTPlot, which allowed us to focus on the structure and the timing of the intervention. The implementation strategies identified as efficient were use of the Breakthrough Series, academic detailing, provision of patient material and meetings between providers. The active

  1. Developing an active implementation model for a chronic disease management program

    Directory of Open Access Journals (Sweden)

    Margrethe Smidth


    Full Text Available Background: Introduction and diffusion of new disease management programs in healthcare is usually slow, but active theory-driven implementation seems to outperform other implementation strategies. However, we have only scarce evidence on the feasibility and real effect of such strategies in complex primary care settings where municipalities, general practitioners and hospitals should work together. The Central Denmark Region recently implemented a disease management program for chronic obstructive pulmonary disease (COPD which presented an opportunity to test an active implementation model against the usual implementation model. The aim of the present paper is to describe the development of an active implementation model using the Medical Research Council’s model for complex interventions and the Chronic Care Model.Methods: We used the Medical Research Council’s five-stage model for developing complex interventions to design an implementation model for a disease management program for COPD. First, literature on implementing change in general practice was scrutinised and empirical knowledge was assessed for suitability. In phase I, the intervention was developed; and in phases II and III, it was tested in a block- and cluster-randomised study. In phase IV, we evaluated the feasibility for others to use our active implementation model.Results: The Chronic Care Model was identified as a model for designing efficient implementation elements. These elements were combined into a multifaceted intervention, and a timeline for the trial in a randomised study was decided upon in accordance with the five stages in the Medical Research Council’s model; this was captured in a PaTPlot, which allowed us to focus on the structure and the timing of the intervention. The implementation strategies identified as efficient were use of the Breakthrough Series, academic detailing, provision of patient material and meetings between providers. The active

  2. Developing an active implementation model for a chronic disease management program. (United States)

    Smidth, Margrethe; Christensen, Morten Bondo; Olesen, Frede; Vedsted, Peter


    Introduction and diffusion of new disease management programs in healthcare is usually slow, but active theory-driven implementation seems to outperform other implementation strategies. However, we have only scarce evidence on the feasibility and real effect of such strategies in complex primary care settings where municipalities, general practitioners and hospitals should work together. The Central Denmark Region recently implemented a disease management program for chronic obstructive pulmonary disease (COPD) which presented an opportunity to test an active implementation model against the usual implementation model. The aim of the present paper is to describe the development of an active implementation model using the Medical Research Council's model for complex interventions and the Chronic Care Model. We used the Medical Research Council's five-stage model for developing complex interventions to design an implementation model for a disease management program for COPD. First, literature on implementing change in general practice was scrutinised and empirical knowledge was assessed for suitability. In phase I, the intervention was developed; and in phases II and III, it was tested in a block- and cluster-randomised study. In phase IV, we evaluated the feasibility for others to use our active implementation model. The Chronic Care Model was identified as a model for designing efficient implementation elements. These elements were combined into a multifaceted intervention, and a timeline for the trial in a randomised study was decided upon in accordance with the five stages in the Medical Research Council's model; this was captured in a PaTPlot, which allowed us to focus on the structure and the timing of the intervention. The implementation strategies identified as efficient were use of the Breakthrough Series, academic detailing, provision of patient material and meetings between providers. The active implementation model was tested in a randomised trial

  3. A SAS Program Combining R Functionalities to Implement Pattern-Mixture Models

    Directory of Open Access Journals (Sweden)

    Pierre Bunouf


    Full Text Available Pattern-mixture models have gained considerable interest in recent years. Patternmixture modeling allows the analysis of incomplete longitudinal outcomes under a variety of missingness mechanisms. In this manuscript, we describe a SAS program which combines R functionalities to fit pattern-mixture models, considering the cases that missingness mechanisms are at random and not at random. Patterns are defined based on missingness at every time point and parameter estimation is based on a full group-bytime interaction. The program implements a multiple imputation method under so-called identifying restrictions. The code is illustrated using data from a placebo-controlled clinical trial. This manuscript and the program are directed to SAS users with minimal knowledge of the R language.

  4. Empirical evaluation of the conceptual model underpinning a regional aquatic long-term monitoring program using causal modelling (United States)

    Irvine, Kathryn M.; Miller, Scott; Al-Chokhachy, Robert K.; Archer, Erik; Roper, Brett B.; Kershner, Jeffrey L.


    Conceptual models are an integral facet of long-term monitoring programs. Proposed linkages between drivers, stressors, and ecological indicators are identified within the conceptual model of most mandated programs. We empirically evaluate a conceptual model developed for a regional aquatic and riparian monitoring program using causal models (i.e., Bayesian path analysis). We assess whether data gathered for regional status and trend estimation can also provide insights on why a stream may deviate from reference conditions. We target the hypothesized causal pathways for how anthropogenic drivers of road density, percent grazing, and percent forest within a catchment affect instream biological condition. We found instream temperature and fine sediments in arid sites and only fine sediments in mesic sites accounted for a significant portion of the maximum possible variation explainable in biological condition among managed sites. However, the biological significance of the direct effects of anthropogenic drivers on instream temperature and fine sediments were minimal or not detected. Consequently, there was weak to no biological support for causal pathways related to anthropogenic drivers’ impact on biological condition. With weak biological and statistical effect sizes, ignoring environmental contextual variables and covariates that explain natural heterogeneity would have resulted in no evidence of human impacts on biological integrity in some instances. For programs targeting the effects of anthropogenic activities, it is imperative to identify both land use practices and mechanisms that have led to degraded conditions (i.e., moving beyond simple status and trend estimation). Our empirical evaluation of the conceptual model underpinning the long-term monitoring program provided an opportunity for learning and, consequently, we discuss survey design elements that require modification to achieve question driven monitoring, a necessary step in the practice of

  5. Power Grid Construction Project Portfolio Optimization Based on Bi-level programming model (United States)

    Zhao, Erdong; Li, Shangqi


    As the main body of power grid operation, county-level power supply enterprises undertake an important emission to guarantee the security of power grid operation and safeguard social power using order. The optimization of grid construction projects has been a key issue of power supply capacity and service level of grid enterprises. According to the actual situation of power grid construction project optimization of county-level power enterprises, on the basis of qualitative analysis of the projects, this paper builds a Bi-level programming model based on quantitative analysis. The upper layer of the model is the target restriction of the optimal portfolio; the lower layer of the model is enterprises’ financial restrictions on the size of the enterprise project portfolio. Finally, using a real example to illustrate operation proceeding and the optimization result of the model. Through qualitative analysis and quantitative analysis, the bi-level programming model improves the accuracy and normative standardization of power grid enterprises projects.

  6. Modeling reading vocabulary learning in deaf children in bilingual education programs. (United States)

    Hermans, Daan; Knoors, Harry; Ormel, Ellen; Verhoeven, Ludo


    The acquisition of reading vocabulary is one of the major challenges for deaf children in bilingual education programs. Deaf children have to acquire a written lexicon that can effectively be used in reading. In this paper, we present a developmental model that describes reading vocabulary acquisition of deaf children in bilingual education programs. The model is inspired by Jiang's model of vocabulary development in a second language (N. Jiang, 2000, 2004a) and the hierarchical model of lexical representation and processing in bilinguals (J. F. Kroll & E. Stewart, 1988). We argue that lexical development in the written language often fossilizes and that many words deaf readers acquire will not reach the final stage of lexical development. We argue that this feature is consistent with many findings reported in the literature. Finally, we discuss the pedagogical implications of the model.

  7. A model for planning the chemical integrated system under uncertainty by the grey programming approach

    DEFF Research Database (Denmark)

    Ren, Jingzheng; Tan, Shiyu; Dong, Lichun


    A model to optimize the planning of the chemical integrated system comprised by multi-devices and multi-products has been proposed in this paper. With the objective to make more profits, the traditional model for optimizing production planning has been proposed. The price of chemicals, the market...... demand, and the production capacity have been considered as mutative variables, then an improved model in which some parameters are not constant has been developed and a new method to solve the grey linear programming has been proposed. In the grey programming model, the value of credibility can...... be suggested by the decision-makers, and the results of the production planning calculated by the model can help them to achieve their desired target. An actual case has been studied by the proposed methodology, and the proposed methodology can be popularized to other cases....

  8. Consideration in selecting crops for the human-rated life support system: a linear programming model (United States)

    Wheeler, E. F.; Kossowski, J.; Goto, E.; Langhans, R. W.; White, G.; Albright, L. D.; Wilcox, D.

    A Linear Programming model has been constructed which aids in selecting appropriate crops for CELSS (Controlled Environment Life Support System) food production. A team of Controlled Environment Agriculture (CEA) faculty, staff, graduate students and invited experts representing more than a dozen disciplines, provided a wide range of expertise in developing the model and the crop production program. The model incorporates nutritional content and controlled-environment based production yields of carefully chosen crops into a framework where a crop mix can be constructed to suit the astronauts' needs. The crew's nutritional requirements can be adequately satisfied with only a few crops (assuming vitamin mineral supplements are provided) but this will not be satisfactory from a culinary standpoint. This model is flexible enough that taste and variety driven food choices can be built into the model.

  9. A Conceptual Modeling for a GoldSim Program for Safety Assessment of an LILW Repository

    International Nuclear Information System (INIS)

    Lee, Youn Myoung; Hwang, Yong Soo; Kang, Chul Hyung; Lee, Sung Ho


    Modeling study and development of a total system performance assessment (TSPA) program, by which an assessment of safety and performance for a low- and intermediate-level radioactive waste disposal repository with normal or abnormal nuclide release cases associated with the various FEPs involved in the performance of the proposed repository could be made has been carrying out by utilizing GoldSim under contract with KRMC. The report deals with a detailed conceptual modeling scheme by which a GoldSim program modules, all of which are integrated into a TSPA program as well as the input data set currently available. In-depth system models that are conceptually and rather practically described and then ready for implementing into a GoldSim program are introduced with plenty of illustrative conceptual models and sketches. The GoldSim program that will be finally developed through this project is expected to be successfully applied to the post closure safety assessment required both for the LILW repository and pyro processed repository by the regulatory body with both increased practicality and much reduced uncertainty

  10. Forecasting Shaharchay River Flow in Lake Urmia Basin using Genetic Programming and M5 Model Tree

    Directory of Open Access Journals (Sweden)

    S. Samadianfard


    Full Text Available Introduction: Precise prediction of river flows is the key factor for proper planning and management of water resources. Thus, obtaining the reliable methods for predicting river flows has great importance in water resource engineering. In the recent years, applications of intelligent methods such as artificial neural networks, fuzzy systems and genetic programming in water science and engineering have been grown extensively. These mentioned methods are able to model nonlinear process of river flows without any need to geometric properties. A huge number of studies have been reported in the field of using intelligent methods in water resource engineering. For example, Noorani and Salehi (23 presented a model for predicting runoff in Lighvan basin using adaptive neuro-fuzzy network and compared the performance of it with neural network and fuzzy inference methods in east Azerbaijan, Iran. Nabizadeh et al. (21 used fuzzy inference system and adaptive neuro-fuzzy inference system in order to predict river flow in Lighvan river. Khalili et al. (13 proposed a BL-ARCH method for prediction of flows in Shaharchay River in Urmia. Khu et al. (16 used genetic programming for runoff prediction in Orgeval catchment in France. Firat and Gungor (11 evaluated the fuzzy-neural model for predicting Mendes river flow in Turkey. The goal of present study is comparing the performance of genetic programming and M5 model trees for prediction of Shaharchay river flow in the basin of Lake Urmia and obtaining a comprehensive insight of their abilities. Materials and Methods: Shaharchay river as a main source of providing drinking water of Urmia city and agricultural needs of surrounding lands and finally one of the main input sources of Lake Urmia is quite important in the region. For obtaining the predetermined goals of present study, average monthly flows of Shaharchay River in Band hydrometric station has been gathered from 1951 to 2011. Then, two third of mentioned

  11. Guidance for implementing an environmental, safety, and health-assurance program. Volume 15. A model plan for line organization environmental, safety, and health-assurance programs

    Energy Technology Data Exchange (ETDEWEB)

    Ellingson, A.C.; Trauth, C.A. Jr.


    This is 1 of 15 documents designed to illustrate how an Environmental, Safety and Health (ES and H) Assurance Program may be implemented. The generic definition of ES and H Assurance Programs is given in a companion document entitled An Environmental, Safety and Health Assurance Program Standard. This particular document presents a model operational-level ES and H Assurance Program that may be used as a guide by an operational-level organization in developing its own plan. The model presented here reflects the guidance given in the total series of 15 documents.

  12. Mixed Integer Linear Programming model for Crude Palm Oil Supply Chain Planning (United States)

    Sembiring, Pasukat; Mawengkang, Herman; Sadyadharma, Hendaru; Bu'ulolo, F.; Fajriana


    The production process of crude palm oil (CPO) can be defined as the milling process of raw materials, called fresh fruit bunch (FFB) into end products palm oil. The process usually through a series of steps producing and consuming intermediate products. The CPO milling industry considered in this paper does not have oil palm plantation, therefore the FFB are supplied by several public oil palm plantations. Due to the limited availability of FFB, then it is necessary to choose from which plantations would be appropriate. This paper proposes a mixed integer linear programming model the supply chain integrated problem, which include waste processing. The mathematical programming model is solved using neighborhood search approach.

  13. Optimal blood glucose level control using dynamic programming based on minimal Bergman model (United States)

    Rettian Anggita Sari, Maria; Hartono


    The purpose of this article is to simulate the glucose dynamic and the insulin kinetic of diabetic patient. The model used in this research is a non-linear Minimal Bergman model. Optimal control theory is then applied to formulate the problem in order to determine the optimal dose of insulin in the treatment of diabetes mellitus such that the glucose level is in the normal range for some specific time range. The optimization problem is solved using dynamic programming. The result shows that dynamic programming is quite reliable to represent the interaction between glucose and insulin levels in diabetes mellitus patient.

  14. TET2MCNP: A conversion program to implement tetrahearal-mesh models in MCNP

    International Nuclear Information System (INIS)

    Han, Min Cheol; Yeom, Yeon Soo; Nguyen, Thng Tat; Choi, Chan Soo; Lee, Hyun Su; Kim, Chan Hyeong


    Tetrahedral-mesh geometries can be used in the MCNP code, but the MCNP code accepts only the geometry in the Abaqus input file format; hence, the existing tetrahedral-mesh models first need to be converted to the Abacus input file format to be used in the MCNP code. In the present study, we developed a simple but useful computer program, TET 2 MCNP, for converting TetGen-generated tetrahedral-mesh models to the Abacus input file format. TET 2 MCNP is written in C++ and contains two components: one for converting a TetGen output file to the Abacus input file and the other for the reverse conversion process. The TET 2 MCP program also produces an MCNP input file. Further, the program provides some MCNP-specific functions: the maximum number of elements (i.e., tetrahedrons) per part can be limited, and the material density of each element can be transferred to the MCNP input file. To test the developed program, two tetrahedral-mesh models were generated using TetGen and converted to the Abaqus input file format using TET 2 MCNP. Subsequently, the converted files were used in the MCNP code to calculate the object- and organ-averaged absorbed dose in the sphere and phantom, respectively. The results show that the converted models provide, within statistical uncertainties, identical dose values to those obtained using the PHITS code, which uses the original tetrahedral-mesh models produced by the TetGen program. The results show that the developed program can successfully convert TetGen tetrahedral-mesh models to Abacus input files. In the present study, we have developed a computer program, TET 2 MCNP, which can be used to convert TetGen-generated tetrahedral-mesh models to the Abaqus input file format for use in the MCNP code. We believe this program will be used by many MCNP users for implementing complex tetrahedral-mesh models, including computational human phantoms, in the MCNP code

  15. TET{sub 2}MCNP: A conversion program to implement tetrahearal-mesh models in MCNP

    Energy Technology Data Exchange (ETDEWEB)

    Han, Min Cheol; Yeom, Yeon Soo; Nguyen, Thng Tat; Choi, Chan Soo; Lee, Hyun Su; Kim, Chan Hyeong [Dept. of Nuclear Engineering, Hanyang University, Seoul (Korea, Republic of)


    Tetrahedral-mesh geometries can be used in the MCNP code, but the MCNP code accepts only the geometry in the Abaqus input file format; hence, the existing tetrahedral-mesh models first need to be converted to the Abacus input file format to be used in the MCNP code. In the present study, we developed a simple but useful computer program, TET{sub 2}MCNP, for converting TetGen-generated tetrahedral-mesh models to the Abacus input file format. TET{sub 2}MCNP is written in C++ and contains two components: one for converting a TetGen output file to the Abacus input file and the other for the reverse conversion process. The TET{sub 2}MCP program also produces an MCNP input file. Further, the program provides some MCNP-specific functions: the maximum number of elements (i.e., tetrahedrons) per part can be limited, and the material density of each element can be transferred to the MCNP input file. To test the developed program, two tetrahedral-mesh models were generated using TetGen and converted to the Abaqus input file format using TET{sub 2}MCNP. Subsequently, the converted files were used in the MCNP code to calculate the object- and organ-averaged absorbed dose in the sphere and phantom, respectively. The results show that the converted models provide, within statistical uncertainties, identical dose values to those obtained using the PHITS code, which uses the original tetrahedral-mesh models produced by the TetGen program. The results show that the developed program can successfully convert TetGen tetrahedral-mesh models to Abacus input files. In the present study, we have developed a computer program, TET{sub 2}MCNP, which can be used to convert TetGen-generated tetrahedral-mesh models to the Abaqus input file format for use in the MCNP code. We believe this program will be used by many MCNP users for implementing complex tetrahedral-mesh models, including computational human phantoms, in the MCNP code.

  16. Penerapan Aplikasi Program Penjualan Dan Pembelian Menggunakan Model Rapid Application Development

    Directory of Open Access Journals (Sweden)

    Annisa Febriani


    Abstract The development of information technology at the moment quickly and rapidly, supported by one means namely computer. Of course the computer has been equipped with a particular application is used to help facilitate the work of the man to manage the data of an organization or company so that getting accurate results and according to needs. The results of the observations that have been made, showed a sales and purchase activities are still using manual systems, one of them at a clothing store. Starting from the data processing of the goods, the difficulty of checking stock, purchase transaction, sales transactions, as well as other data storage associated with all types of such activities, so that it could make a loss for the store owner, errors in the logging and less akuratnya the report is made. Judging from the large number of transactions done on clothing stores, required system information more quickly and accurately. Thus, the author makes the program architecture-based computer, use the Microsoft Visual programming language and the MySQL database, so that the information and activities that occur can be done quickly and accurately. The methods used in making architecture the program using the model of Rapid Application Development (RAD. This RAD model is an adaptation of the waterfall model for high speed version of the development of each component of its software. Results achieved from the discussion of this theme is the form of the application program selling and buying the ready-made. In this case, the use of the application program is the best solution to solve the existing problems, as well as with the use of application programs can be reached by an activity which is effective and efficient in supporting that activity, especially for addressing the problem of the sale and purchase of.   Keywords: Sales Program, Purchasing Program.

  17. Contact in the Classroom: Developing a Program Model for Youth Mental Health Contact-Based Anti-stigma Education. (United States)

    Chen, Shu-Ping; Koller, Michelle; Krupa, Terry; Stuart, Heather


    This study evaluated eighteen Canadian anti-stigma programs targeting high-school students. The purpose was to identify critical domains and develop a program model of contact-based interventions. Three steps were implemented. The first step involved collecting program information through twenty in-depth interviews with stakeholders and field observations of seven programs. The second step involved constructing critical ingredients into domains for conceptual clarity and component modeling. The third step involved validating the program model by stakeholders review and initial fidelity testing with program outcomes. A program model with an overarching theme "engaging contact reduces stigma" and three underlying constructs (speakers, message, and interaction) were developed. Within each construct three specific domains were identified to explain the concepts. Connection, engagement, and empowerment are critical domains of anti-stigma programs for the youth population. Findings from this study have built on the scientific knowledge about the change theory underpinning youth contact-based intervention.

  18. A student leadership model for promoting educational programs in organ donation and transplantation. (United States)

    Reville, P; Zhao, C; Perez, T; Nowacki, A S; Phillips, D; Bowen, G; Starling, N; Pflaum, B; Strickland, R; Fung, J; Askar, M


    The global organ shortage is the strongest factor for the increase in transplant wait time and deaths on waitlists. Here we describe a model for involving high school students in education research around organ donation and transplantation and capitalize on the strength of a pre-existing educational program offered by the local organ procurement organization (OPO). While training in education research at Cleveland Clinic, a high school student embarked on a collaborative project with the local OPO. The project involved evaluating three educational programs, selecting the most appropriate program for administration at her school, coordinating with the student's school administration and teachers, administering an assessment tool for the effectiveness of the program, and analyzing the results. The local OPO program that was selected for implementation consisted of a video presentation entitled "Share your life, share your decision" prepared by the United States Health Resources and Services Administration (HRSA), lectures by invited speakers and an educational assessment (pre- and post-education). The assessment survey included 3 multiple choice and 7 true/false questions. Compared to the over 2500 programs administered in the last 5 years by the local OPO, this program had a higher volume of participation (n = 353 compared to an average of 150 students/day). Students correctly classified transplantation status of more organ and tissues post-education (P education (P ≤ .002 for all). This experience included for the first time a formal assessment of the program which will be utilized to address targeted areas for specific improvements. This student collaborative model of involving students in organ donation and transplantation related education research has the potential to promote and maximize the effectiveness of educational programs targeting their peers. Copyright © 2013 Elsevier Inc. All rights reserved.

  19. Inexact nonlinear improved fuzzy chance-constrained programming model for irrigation water management under uncertainty (United States)

    Zhang, Chenglong; Zhang, Fan; Guo, Shanshan; Liu, Xiao; Guo, Ping


    An inexact nonlinear mλ-measure fuzzy chance-constrained programming (INMFCCP) model is developed for irrigation water allocation under uncertainty. Techniques of inexact quadratic programming (IQP), mλ-measure, and fuzzy chance-constrained programming (FCCP) are integrated into a general optimization framework. The INMFCCP model can deal with not only nonlinearities in the objective function, but also uncertainties presented as discrete intervals in the objective function, variables and left-hand side constraints and fuzziness in the right-hand side constraints. Moreover, this model improves upon the conventional fuzzy chance-constrained programming by introducing a linear combination of possibility measure and necessity measure with varying preference parameters. To demonstrate its applicability, the model is then applied to a case study in the middle reaches of Heihe River Basin, northwest China. An interval regression analysis method is used to obtain interval crop water production functions in the whole growth period under uncertainty. Therefore, more flexible solutions can be generated for optimal irrigation water allocation. The variation of results can be examined by giving different confidence levels and preference parameters. Besides, it can reflect interrelationships among system benefits, preference parameters, confidence levels and the corresponding risk levels. Comparison between interval crop water production functions and deterministic ones based on the developed INMFCCP model indicates that the former is capable of reflecting more complexities and uncertainties in practical application. These results can provide more reliable scientific basis for supporting irrigation water management in arid areas.

  20. Integrating social model principles into broad-based treatment: results of a program evaluation. (United States)

    Polcin, Douglas L; Prindle, Suzi D; Bostrom, Alan


    Although traditional social model recovery programs appear to be decreasing, some aspects of social model recovery continue to exert a strong influence in broad-based, integrated programs. This article describes a four-week program that integrates licensed therapists, certified counselors, psychiatric consultation, and social model recovery principles into a broad-based treatment approach. The Social Model Philosophy Scale revealed a low overall rating on social model philosophy. However, social model principles that were heavily stressed included practicing 12-step recovery, the importance of getting a 12-step sponsor, staff-client interactions outside a formal office, employing staff who are in recovery, and emphasizing a goal of abstinence. Three- and six-month follow-up revealed significant improvement in alcohol and drug use, heavy alcohol use, satisfaction with family relationships, 12-step involvement, illegal behaviors, arrests, unsafe sex, self-esteem, use of medical resources, and health status. Findings provide a rationale for larger, multi-site studies that assess the effectiveness of social model characteristics using multivariate techniques.

  1. Solving a bi-objective mathematical programming model for bloodmobiles location routing problem

    Directory of Open Access Journals (Sweden)

    Masoud Rabbani


    Full Text Available Perishability of platelets, uncertainty of donors’ arrival and conflicting views in platelet supply chain have made platelet supply chain planning a problematic issue. In this paper, mobile blood collection system for platelet production is investigated. Two mathematical models are presented to cover the bloodmobile collection planning problem. The first model is a multi-objective fuzzy mathematical programming in which the bloodmobiles locations are considered with the aim of maximizing potential amount of blood collection and minimizing the operational cost. The second model is a vehicle routing problem with time windows which studies the shuttles routing problem. To tackle the first model, it is reformulated as a crisp multi objective linear programming model and then solved through a fuzzy multi objective programming approach. Several sensitivity analysis are conducted on important parameters to demonstrate the applicability of the proposed model. The proposed model is then solved by using a tailored Simulated Annealing (SA algorithm. The numerical results demonstrate promising efficiency of the proposed solution method.

  2. How robotics programs influence young women's career choices : a grounded theory model (United States)

    Craig, Cecilia Dosh-Bluhm

    The fields of engineering, computer science, and physics have a paucity of women despite decades of intervention by universities and organizations. Women's graduation rates in these fields continue to stagnate, posing a critical problem for society. This qualitative grounded theory (GT) study sought to understand how robotics programs influenced young women's career decisions and the program's effect on engineering, physics, and computer science career interests. To test this, a study was mounted to explore how the FIRST (For Inspiration and Recognition of Science and Technology) Robotics Competition (FRC) program influenced young women's college major and career choices. Career theories suggested that experiential programs coupled with supportive relationships strongly influence career decisions, especially for science, technology, engineering, and mathematics careers. The study explored how and when young women made career decisions and how the experiential program and! its mentors and role models influenced career choice. Online focus groups and interviews (online and face-to-face) with 10 female FRC alumnae and GT processes (inductive analysis, open coding, categorizations using mind maps and content clouds) were used to generate a general systems theory style model of the career decision process for these young women. The study identified gender stereotypes and other career obstacles for women. The study's conclusions include recommendations to foster connections to real-world challenges, to develop training programs for mentors, and to nurture social cohesion, a mostly untapped area. Implementing these recommendations could help grow a critical mass of women in engineering, physics, and computer science careers, a social change worth pursuing.

  3. Support for Programming Models in Network-on-Chip-based Many-core Systems

    DEFF Research Database (Denmark)

    Rasmussen, Morten Sleth

    models to be supported by a single architecture. The architecture features a specialized network interface processor which allows extensive configurability of the memory system. Based on this architecture, a detailed implementation of the cache coherent shared memory programming model is presented....... The third part considers modeling and evaluation of the Clupea architecture configured for support for cache coherent shared memory. An analytical model and the MC sim simulator, which provides detailed cycle-accurate simulation of many-core architectures, have been developed for the evaluation...

  4. Design and modeling of solar sea power plants by geometric programming

    Energy Technology Data Exchange (ETDEWEB)

    Wu, C. C.


    Geometric programming, a nonlinear optimization technique, is used to design Solar Sea Power Plants (SSPP). The conversion process is described, and the hardware necessary to implement a binary-fluid, closed-Rankine cycle is identified. Steady-state analytical models for the major components are derived. These models are then used as the constraints of a geometric program whose objective function is the minimization of a particular function of the design variables of the SSPP. A variety of problems are solved. On one extreme, they include simply the design of a minimum surface heat exchanger for a SSPP, and on another extreme the selection of the various water pipes for a given ocean site, accounting for all the hydraulic losses. The geometric programming technique produces the optimum design and, more importantly, the sensitivity of the objective function at the optimum to variations in cost figures, constraint bounds, and arbitrary constants of the model. It is demonstrated that geometric programming is an economical and effective tool for the analysis and design of complex interacting engineering systems involving many variables and constraints. In particular, it is concluded that geometric programming is effective in a variety of situations encountered in the design of Solar Sea Power Plants.

  5. Bringing Automated Model Checking to PLC Program Development - A CERN Case Study

    CERN Document Server

    Fernandez Adiego, B; Tournier, J-C; Blanco Vinuela, E; Gonzalez Suarez, V M


    Verification of critical software is a high priority but a challenging task for industrial control systems. Model checking appears to be an appropriate approach for this purpose. However, this technique is not widely used in industry yet, due to some obstacles. The main obstacles encountered when trying to apply formal verification techniques at industrial installations are the difficulty of creating models out of PLC programs and defining formally the specification requirements. In addition, models produced out of real-life programs have a huge state space, thus preventing the verification due to performance issues. Our work at CERN (European Organization for Nuclear Research) focuses on developing efficient automatic verification methods for industrial critical installations based on PLC (Programmable Logic Controller) control systems. In this paper, we present a tool generating automatically formal models out of PLC code. The tool implements a general methodology which can support several input languages, ...

  6. Factors in adoption of a fire department wellness program: champ-and-chief model. (United States)

    Kuehl, Hannah; Mabry, Linda; Elliot, Diane L; Kuehl, Kerry S; Favorite, Kim C


    To identify and evaluate determinants of fire departments' wellness program adoption. The Promoting Healthy Lifestyles: Alternative Models' Effects fire service wellness program was offered for free to all medium-sized fire departments in Oregon and Washington. An invitation to participate was mailed to key fire department decision makers (chief, union president, and wellness officer). These key decision makers from 12 sites that adopted the program and 24 matched nonadopting sites were interviewed and results were analyzed to define adoption determinants. Three adoption requirements were identified: (1) mailer connection, (2) local firefighter wellness champion, and (3) willing fire chief, whereas a fourth set of organizational factors had little or no impact on adoption including previous and ongoing wellness activities, financial pressures, and resistance to change. Findings identified determinants of medium-sized fire service wellness program adoption.

  7. French research program on the physiological problems caused by weightlessness. Use of the primate model (United States)

    Pesquies, P. C.; Milhaud, C.; Nogues, C.; Klein, M.; Cailler, B.; Bost, R.

    The need to acquire a better knowledge of the main biological problems induced by microgravity implies—in addition to human experimentation—the use of animal models, and primates seem to be particularly well adapted to this type of research. The major areas of investigation to be considered are the phospho-calcium metabolism and the metabolism of supporting tissues, the hydroelectrolytic metabolism, the cardiovascular function, awakeness, sleep-awakeness cycles, the physiology of equilibrium and the pathophysiology of space sickness. Considering this program, the Centre d'Etudes et de Recherches de Medecine Aerospatiale, under the sponsorship of the Centre National d'Etudes Spatiales, developed both a program of research on restrained primates for the French-U.S. space cooperation (Spacelab program) and for the French-Soviet space cooperation (Bio-cosmos program), and simulation of the effects of microgravity by head-down bedrest. Its major characteristics are discussed in the study.

  8. Image Processing of Welding Procedure Specification and Pre-process program development for Finite Element Modelling

    International Nuclear Information System (INIS)

    Kim, K. S.; Lee, H. J.


    PRE-WELD program, which generates automatically the input file for the finite element analysis on the 2D butt welding at the dissimilar metal weld part, was developed. This program is pre-process program of the FEM code for analyzing the residual stress at the welding parts. Even if the users have not the detail knowledge for the FEM modelling, the users can make the ABAQUS INPUT easily by inputting the shape data of welding part, the weld current and voltage of welding parameters. By using PRE-WELD program, we can save the time and the effort greatly for preparing the ABAQUS INPUT for the residual stress analysis at the welding parts, and make the exact input without the human error

  9. Economic Modeling of Heart Failure Telehealth Programs: When Do They Become Cost Saving?

    Directory of Open Access Journals (Sweden)

    Sheena Xin Liu


    Full Text Available Telehealth programs for congestive heart failure have been shown to be clinically effective. This study assesses clinical and economic consequences of providing telehealth programs for CHF patients. A Markov model was developed and presented in the context of a home-based telehealth program on CHF. Incremental life expectancy, hospital admissions, and total healthcare costs were examined at periods ranging up to five years. One-way and two-way sensitivity analyses were also conducted on clinical performance parameters. The base case analysis yielded cost savings ranging from $2832 to $5499 and 0.03 to 0.04 life year gain per patient over a 1-year period. Applying telehealth solution to a low-risk cohort with no prior admission history would result in $2502 cost increase per person over the 1-year time frame with 0.01 life year gain. Sensitivity analyses demonstrated that the cost savings were most sensitive to patient risk, baseline cost of hospital admission, and the length-of-stay reduction ratio affected by the telehealth programs. In sum, telehealth programs can be cost saving for intermediate and high risk patients over a 1- to 5-year window. The results suggested the economic viability of telehealth programs for managing CHF patients and illustrated the importance of risk stratification in such programs.

  10. User's guide to Model Viewer, a program for three-dimensional visualization of ground-water model results (United States)

    Hsieh, Paul A.; Winston, Richard B.


    Model Viewer is a computer program that displays the results of three-dimensional groundwater models. Scalar data (such as hydraulic head or solute concentration) may be displayed as a solid or a set of isosurfaces, using a red-to-blue color spectrum to represent a range of scalar values. Vector data (such as velocity or specific discharge) are represented by lines oriented to the vector direction and scaled to the vector magnitude. Model Viewer can also display pathlines, cells or nodes that represent model features such as streams and wells, and auxiliary graphic objects such as grid lines and coordinate axes. Users may crop the model grid in different orientations to examine the interior structure of the data. For transient simulations, Model Viewer can animate the time evolution of the simulated quantities. The current version (1.0) of Model Viewer runs on Microsoft Windows 95, 98, NT and 2000 operating systems, and supports the following models: MODFLOW-2000, MODFLOW-2000 with the Ground-Water Transport Process, MODFLOW-96, MOC3D (Version 3.5), MODPATH, MT3DMS, and SUTRA (Version 2D3D.1). Model Viewer is designed to directly read input and output files from these models, thus minimizing the need for additional postprocessing. This report provides an overview of Model Viewer. Complete instructions on how to use the software are provided in the on-line help pages.

  11. A Taxonomy of Evaluation Models: Use of Evaluation Models in Program Evaluation. (United States)

    Carter, Wayne E.

    In the nine years following the passage of the Elementary Secondary Education Act (ESEA), several models have been developed to attempt to remedy the deficiencies in existing educational evaluation and decision theory noted by Stufflebeam and co-workers. Compilations of evaluation models have been undertaken and listings exist of models available…



    Liu, Donald J.; Kaiser, Harry M.; Forker, Olan D.; Mount, Timothy D.


    The market impacts of generic dairy advertising are assessed using an industry model which encompasses supply and demand conditions at the retail, wholesale, and farm levels, and government intervention under the dairy price support program. The estimated model is used to simulate price and quantity values for four advertising scenarios: (1) no advertising, (2) historical fluid advertising, (3) historical manufactured advertising, and (4) historical fluid and manufactured advertising. Compare...

  13. Computer Programs for Generation of NASTRAN and VIBRA-6 Aircraft Models. (United States)


    NASTRAN as a combination of DMAP alters for Solutions 3 and 10, and a user module, MODB. The user module, MODB, performs such operations as...GENERATION _ OF NASTRAN AND VIBRA-6 AIRCRAFT MODELS Steven G. Harris Anamet Laboratories, Inc.I 3400 Investment Boulevard Haywood, CA 94545-3811 April...ACCESSION NO 62601F 8809 03 26 11 TITLE (Include Security Classification) COMPUTER PROGRAMS FOR GENERATION OF NASTRAN AND VIBRA-6 AIRCRAFT MODELS 12

  14. The effect of educational program based on BASNEF model on the nutritional behavior of students


    S. Mohammad M. Hazavehei; Asiyeh Pirzadeh; Mohammad H. Entezari; Akbar Hasanzadeh


    Background: Concerning the importance of improving nutrition in teen girls, the purpose of this study was to determine the effects of educational program on the nutritional behavior among second-grade middle school female students based on BASNEF model. Materials and Method: This experimental study were done on 72 students who was selected randomly in two equal groups of 36 students (experimental and control groups). The instruments for data collection were the BASNEF model and 24-recall ques...

  15. A Model for Community-Based Pediatric Oral Heath: Implementation of an Infant Oral Care Program


    Ramos-Gomez, Francisco J.


    The Affordable Care Act (ACA) mandates risk assessments, preventive care, and evaluations based on outcomes. ACA compliance will require easily accessible, cost-effective care models that are flexible and simple to establish. UCLA has developed an Infant Oral Care Program (IOCP) in partnership with community-based organizations that is an intervention model providing culturally competent perinatal and infant oral care for underserved, low-income, and/or minority children aged 0–5 and their ca...

  16. An Integer Linear Programming Model for the Radiotherapy Treatment Scheduling Problem


    Burke, Edmund K.; Leite-Rocha, Pedro; Petrovic, Sanja


    Radiotherapy represents an important phase of treatment for a large number of cancer patients. It is essential that resources used to deliver this treatment are employed effectively. This paper presents a new integer linear programming model for real-world radiotherapy treatment scheduling and analyses the effectiveness of using this model on a daily basis in a hospital. Experiments are conducted varying the days on which schedules can be created. Results obtained using real-world data from t...

  17. An integer programming model to limit hospital selection in studies with repeated sampling.


    Shwartz, M; Klimberg, R K; Karp, M; Iezzoni, L I; Ash, A S; Heineke, J; Payne, S M; Restuccia, J D


    OBJECTIVE: We describe an integer programming model that, for studies requiring repeated sampling from hospitals, can aid in selecting a limited set of hospitals from which medical records are reviewed. STUDY SETTING: The model is illustrated in the context of two studies: (1) an analysis of the relationship between variations in hospital admission rates across geographic areas and rates of inappropriate admissions; and (2) a validation of computerized algorithms that screen for complications...

  18. Selecting the Best Forecasting-Implied Volatility Model Using Genetic Programming

    Directory of Open Access Journals (Sweden)

    Wafa Abdelmalek


    Full Text Available The volatility is a crucial variable in option pricing and hedging strategies. The aim of this paper is to provide some initial evidence of the empirical relevance of genetic programming to volatility's forecasting. By using real data from S&P500 index options, the genetic programming's ability to forecast Black and Scholes-implied volatility is compared between time series samples and moneyness-time to maturity classes. Total and out-of-sample mean squared errors are used as forecasting's performance measures. Comparisons reveal that the time series model seems to be more accurate in forecasting-implied volatility than moneyness time to maturity models. Overall, results are strongly encouraging and suggest that the genetic programming approach works well in solving financial problems.

  19. Increasing diversity in international education: Programming for non-traditional students through an alternative curriculum model

    Directory of Open Access Journals (Sweden)

    Rebecca A. Clothey


    Full Text Available This paper looks at an alternative curriculum model for study abroad designed specifically to address some of the needs of non-traditional students enrolled in an online education program. In order to meet the needs of non-traditional students and provide quality international programming for them, it is necessary first to understand their restraints to studying abroad, and then to design alternative educational models that can address these challenges. The paper describes the challenges of balancing the need to create quality international learning opportunities for education students, with the limitations faced by non-traditional online adult learners who have families and full-time jobs. It is based on an action research case study of two study abroad programs implemented for online students at a northeastern four-year research-one institution of higher education.

  20. An improved risk-explicit interval linear programming model for pollution load allocation for watershed management. (United States)

    Xia, Bisheng; Qian, Xin; Yao, Hong


    Although the risk-explicit interval linear programming (REILP) model has solved the problem of having interval solutions, it has an equity problem, which can lead to unbalanced allocation between different decision variables. Therefore, an improved REILP model is proposed. This model adds an equity objective function and three constraint conditions to overcome this equity problem. In this case, pollution reduction is in proportion to pollutant load, which supports balanced development between different regional economies. The model is used to solve the problem of pollution load allocation in a small transboundary watershed. Compared with the REILP original model result, our model achieves equity between the upstream and downstream pollutant loads; it also overcomes the problem of greatest pollution reduction, where sources are nearest to the control section. The model provides a better solution to the problem of pollution load allocation than previous versions.

  1. Characterization of the replication timing program of 6 human model cell lines

    Directory of Open Access Journals (Sweden)

    Djihad Hadjadj


    Full Text Available During the S-phase, the DNA replication process is finely orchestrated and regulated by two programs: the spatial program that determines where replication will start in the genome (Cadoret et al. (2008 Oct 14, Cayrou et al. (2011 Sep, Picard et al. (2014 May 1 [1–3], and the temporal program that determines when during the S phase different parts of the genome are replicated and when origins are activated. The temporal program is so well conserved for each cell type from independent individuals [4] that it is possible to identify a cell type from an unknown sample just by determining its replication timing program. Moreover, replicative domains are strongly correlated with the partition of the genome into topological domains (determined by the Hi-C method, Lieberman-Aiden et al. (2009 Oct 9, Pope et al. (2014 Nov 20 [5,6]. On the one hand, replicative areas are well defined and participate in shaping the spatial organization of the genome for a given cell type. On the other hand, studies on the timing program during cell differentiation showed a certain plasticity of this program according to the stage of cell differentiation Hiratani et al. (2008 Oct 7, 2010 Feb [7,8]. Domains where a replication timing change was observed went through a nuclear re-localization. Thus the temporal program of replication can be considered as an epigenetic mark Hiratani and Gilbert (2009 Feb 16 [9]. We present the genomic data of replication timing in 6 human model cell lines: U2OS (GSM2111308, RKO (GSM2111309, HEK 293T (GSM2111310, HeLa (GSM2111311, MRC5-SV (GSM2111312 and K562 (GSM2111313. A short comparative analysis was performed that allowed us to define regions common to the 6 cell lines. These replication timing data can be taken into account when performing studies that use these model cell lines.

  2. Utility of the CIPP Model for Evaluating an Established Career Program in a Community College. (United States)

    Hecht, Alfred R.

    How useful is Stufflebeam's Context, Input, Process, Product (CIPP) model for evaluating an established career program in a community college? On the basis of a case study, advantages of using CIPP include: comprehensiveness, flexibility, integration and decision-orientation. Implementation problems include: establishing procedures for delineating…

  3. A Critical Agency Network Model for Building an Integrated Outreach Program (United States)

    Kiyama, Judy Marquez; Lee, Jenny J.; Rhoades, Gary


    This study considers a distinct case of a college outreach program that integrates student affairs staff, academic administrators, and faculty across campus. The authors find that social networks and critical agency help to understand the integration of these various professionals and offer a critical agency network model of enacting change.…

  4. A Field Training Model for Creative Arts Therapies: Report from a 3-Year Program Evaluation (United States)

    Orkibi, Hod


    Clinical field training is an essential component of educating future therapists. This article discusses a creative arts therapies field training model in Israel as designed and modified from 3 years of program evaluation in a changing regulatory context. A clinical seminar structure puts beginning students in the role of participant-observer in…

  5. Medical Music Therapy: A Model Program for Clinical Practice, Education, Training and Research (United States)

    Standley, Jayne


    This monograph evolved from the unique, innovative partnership between the Florida State University Music Therapy Program and Tallahassee Memorial HealthCare. Its purpose is to serve as a model for music therapy educators, students, clinicians, and the hospital administrators who might employ them. This book should prove a valuable resource for…

  6. Curriculum-Integrated Information Literacy (CIIL) in a Community College Nursing Program: A Practical Model (United States)

    Argüelles, Carlos


    This article describes a strategy to integrate information literacy into the curriculum of a nursing program in a community college. The model is articulated in four explained phases: preparatory, planning, implementation, and evaluation. It describes a collaborative process encouraging librarians to work with nursing faculty, driving students to…

  7. Theory of Compliance: Indicator Checklist Statistical Model and Instrument Based Program Monitoring Information System. (United States)

    Fiene, Richard J.; Woods, Lawrence

    Two unanswered questions about child care are: (1) Does compliance with state child care regulations have a positive impact on children? and (2) Have predictors of program quality been identified? This paper explores a research study and related model that have had some success in answering these questions. Section I, a general introduction,…

  8. Evaluation of Teaching the IS-LM Model through a Simulation Program (United States)

    Pablo-Romero, Maria del Populo; Pozo-Barajas, Rafael; Gomez-Calero, Maria de la Palma


    The IS-ML model is a basic tool used in the teaching of short-term macroeconomics. Teaching is essentially done through the use of graphs. However, the way these graphs are traditionally taught does not allow the learner to easily visualise changes in the curves. The IS-LM simulation program overcomes difficulties encountered in understanding the…

  9. Predicting Stereotype Endorsement and Academic Motivation in Women in Science Programs: A Longitudinal Model (United States)

    Delisle, Marie-Noelle; Guay, Frederic; Senecal, Caroline; Larose, Simon


    This study proposed and tested a model based on stereotype threat theory. The hypothesis is that women who are exposed to a low percentage of women in a science program are more likely to endorse the gender stereotype that science is a male domain, which will in turn undermine their autonomous academic motivation. A total of 167 women university…

  10. 78 FR 79579 - Energy Conservation Program: Alternative Efficiency Determination Methods, Basic Model Definition... (United States)


    ... DEPARTMENT OF ENERGY 10 CFR Parts 429 and 431 [Docket No. EERE-2011-BT-TP-0024] RIN 1904-AC46 Energy Conservation Program: Alternative Efficiency Determination Methods, Basic Model Definition, and Compliance for Commercial HVAC, Refrigeration, and WH Equipment AGENCY: Office of Energy Efficiency and...

  11. A Risk and Prevention Counselor Training Program Model: Theory and Practice (United States)

    Mason, Michael J.; Nakkula, Michael J.


    The need for training mental health counselors in risk and prevention is presented, and justification of the development of an innovative and integrative prevention training program is offered. Theoretical underpinnings that connect the counseling discipline to the field of prevention are described. A risk and prevention training model from…

  12. Sprint's Social Media Ninja Program: A Model for Teaching Consumer Relations (United States)

    Gilliland, Rebecca A.


    This study reviews the application of a new training model, Sprint's Social Media Ninja program, an innovative approach to using new media to initiate change. Sprint recognized change management must occur from employee ambassadors to relevant audiences including consumers and other employees. By teaching volunteer employees the strategic message…

  13. Final Report for Enhancing the MPI Programming Model for PetaScale Systems

    Energy Technology Data Exchange (ETDEWEB)

    Gropp, William Douglas [University of Illinois at Urbana-Champaign


    This project performed research into enhancing the MPI programming model in two ways: developing improved algorithms and implementation strategies, tested and realized in the MPICH implementation, and exploring extensions to the MPI standard to better support PetaScale and ExaScale systems.

  14. An evaluation of the Cray T3D programming paradigms in atmospheric chemistry/transport models

    NARCIS (Netherlands)

    J.G. Blom (Joke); C. Keßler (Carsten); J.G. Verwer (Jan)


    textabstractIn this paper we compare the different programming paradigms available on the Cray T3D for the implementation of a 3D prototype of an Atmospheric Chemistry/Transport Model. We discuss the amount of work needed to convert existing codes to the T3D and the portability of the resulting

  15. Learning to Swim Using Video Modelling and Video Feedback within a Self-Management Program (United States)

    Lao, So-An; Furlonger, Brett E.; Moore, Dennis W.; Busacca, Margherita


    Although many adults who cannot swim are primarily interested in learning by direct coaching there are options that have a focus on self-directed learning. As an alternative a self-management program combined with video modelling, video feedback and high quality and affordable video technology was used to assess its effectiveness to assisting an…

  16. Assessment of Programming Language Learning Based on Peer Code Review Model: Implementation and Experience Report (United States)

    Wang, Yanqing; Li, Hang; Feng, Yuqiang; Jiang, Yu; Liu, Ying


    The traditional assessment approach, in which one single written examination counts toward a student's total score, no longer meets new demands of programming language education. Based on a peer code review process model, we developed an online assessment system called "EduPCR" and used a novel approach to assess the learning of computer…

  17. A Statewide Train-the-Trainer Model for Effective Entrepreneurship and Workforce Readiness Programming (United States)

    Fields, Nia Imani; Brown, Mananmi; Piechocinski, Alganesh; Wells, Kendra


    A statewide youth and adult train-the-trainer model that integrates workforce readiness and entrepreneurship can have a profound effect on young people's academic performance, interest in college, and overall youth development. Participants in workforce and entrepreneurship programs develop personal resources that have value in school, in the…

  18. Model design for Large-Scale Seismic Test Program at Hualien, Taiwan

    International Nuclear Information System (INIS)

    Tang, H.T.; Graves, H.L.; Chen, P.C.


    The Large-Scale Seismic Test (LSST) Program at Hualien, Taiwan, is a follow-on to the soil-structure interaction (SSI) experiments at Lotung, Taiwan. The planned SSI studies will be performed at a stiff soil site in Hualien, Taiwan, that historically has had slightly more destructive earthquakes in the past than Lotung. The LSST is a joint effort among many interested parties. Electric Power Research Institute (EPRI) and Taipower are the organizers of the program and have the lead in planning and managing the program. Other organizations participating in the LSST program are US Nuclear Regulatory Commission (NRC), the Central Research Institute of Electric Power Industry (CRIEPI), the Tokyo Electric Power Company (TEPCO), the Commissariat A L'Energie Atomique (CEA), Electricite de France (EdF) and Framatome. The LSST was initiated in January 1990, and is envisioned to be five years in duration. Based on the assumption of stiff soil and confirmed by soil boring and geophysical results the test model was designed to provide data needed for SSI studies covering: free-field input, nonlinear soil response, non-rigid body SSI, torsional response, kinematic interaction, spatial incoherency and other effects. Taipower had the lead in design of the test model and received significant input from other LSST members. Questions raised by LSST members were on embedment effects, model stiffness, base shear, and openings for equipment. This paper describes progress in site preparation, design and construction of the model and development of an instrumentation plan

  19. Model-directed sampling in Chernobyl forests: General methodology and 1994 sampling program

    International Nuclear Information System (INIS)

    Radiologically-contaminated forest and natural ecosystems contribute significantly to the human radiation dose in the intermediate (several years) and long (several decades) terms following the radionuclide release. As a result of the Chernobyl nuclear power plant accident in 1986, extensive forested areas in Europe were significantly contaminated with cesium, strontium, plutonium and other radionuclides. This study develops a dynamic model that describes the pathways of radionuclides which undergo complex transfer processes in forests and natural ecosystems. This generic model, FORESTPATH, calculates time-dependent radionuclide concentrations in forest compartments based on the information available on residence half-times. Because of the high complexity, traditional sampling programs often provide only limited and fragmented information for the ecosystem to be modeled. A model-directed sampling program was initiated which implies close feedback between ecosystem sampling and modeling of the radionuclide pathways using the FORESTPATH model. This program is now being applied by an international team of USA, European Union (EU) and Newly Independent States (NIS) members in the Chernobyl Nuclear Power Plant (NPP) Exclusion Zone

  20. A Hybrid Programming Framework for Modeling and Solving Constraint Satisfaction and Optimization Problems

    Directory of Open Access Journals (Sweden)

    Paweł Sitek


    Full Text Available This paper proposes a hybrid programming framework for modeling and solving of constraint satisfaction problems (CSPs and constraint optimization problems (COPs. Two paradigms, CLP (constraint logic programming and MP (mathematical programming, are integrated in the framework. The integration is supplemented with the original method of problem transformation, used in the framework as a presolving method. The transformation substantially reduces the feasible solution space. The framework automatically generates CSP and COP models based on current values of data instances, questions asked by a user, and set of predicates and facts of the problem being modeled, which altogether constitute a knowledge database for the given problem. This dynamic generation of dedicated models, based on the knowledge base, together with the parameters changing externally, for example, the user’s questions, is the implementation of the autonomous search concept. The models are solved using the internal or external solvers integrated with the framework. The architecture of the framework as well as its implementation outline is also included in the paper. The effectiveness of the framework regarding the modeling and solution search is assessed through the illustrative examples relating to scheduling problems with additional constrained resources.

  1. Clinical Psychology Ph.D. Program Admissions: Differential Values as a Function of Program Characteristics and the Implications of the Mentor-Model Approach (United States)

    Metzger, Jesse A.


    The aims of this research were to 1) examine the qualities for which applicants are selected for entrance into clinical psychology Ph.D. programs, and 2) investigate the prevalence and impact of the mentor-model approach to admissions on multiple domains of programs and the field at large. Fifty Directors of Clinical Training (DCTs) provided data…

  2. Designing A Model of Vocational Training Programs for Disables through ODL

    Directory of Open Access Journals (Sweden)

    Shaista MAJID


    Full Text Available This study was conducted to designing a model of vocational training programs for disables. For this purpose desk review was carried out and the vocational training models/programs of Israel, U.K., Vietnam, Japan and Thailand were analyzed to form a conceptual frame work of the model. Keeping in view the local conditions/requirements a model of vocational training program was proposed. The proposed model involved the vocational training plan for the job of cashier for mild group, receptionist for moderate and computer operator for severe group. It specified the type of disability as well involved in the training plan. The model recommended the vocational training of three levels of disability; mild, moderate and severe irrespective to the type. The model consisted of details of structure, objectives, professional support involved, vocational training plan and syllabus/activities, evaluation and on job training etc. International practices regarding VT mixed with the national existing situations were critically analyzed during desk review and finally a plan of VT for disables was proposed. A survey was conducted via a questionnaire to get opinion of the heads and senior vocational instructors of Federal Government vocational training and rehabilitation centers for PWDs. The collected data was statistically analyzed to quantify the suggestions on proposed model. The major findings included that all stakeholders considered VT helpful in rehabilitation of PWDs. All heads and vocational instructors are willing to adopt this model, minimum or no extra funds are needed in its implementation, the vocational teacher employed in the centers can easily manage to adopt this model at their centers because no extra training is required for the staff and they all endorse the VT plan proposed in this model. A vocational training model is required to reduce socio-economic gap and to set professional standards by developing human resources trained in trades. The

  3. A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction (United States)

    Danandeh Mehr, Ali; Kahya, Ercan


    Genetic programming (GP) is able to systematically explore alternative model structures of different accuracy and complexity from observed input and output data. The effectiveness of GP in hydrological system identification has been recognized in recent studies. However, selecting a parsimonious (accurate and simple) model from such alternatives still remains a question. This paper proposes a Pareto-optimal moving average multigene genetic programming (MA-MGGP) approach to develop a parsimonious model for single-station streamflow prediction. The three main components of the approach that take us from observed data to a validated model are: (1) data pre-processing, (2) system identification and (3) system simplification. The data pre-processing ingredient uses a simple moving average filter to diminish the lagged prediction effect of stand-alone data-driven models. The multigene ingredient of the model tends to identify the underlying nonlinear system with expressions simpler than classical monolithic GP and, eventually simplification component exploits Pareto front plot to select a parsimonious model through an interactive complexity-efficiency trade-off. The approach was tested using the daily streamflow records from a station on Senoz Stream, Turkey. Comparing to the efficiency results of stand-alone GP, MGGP, and conventional multi linear regression prediction models as benchmarks, the proposed Pareto-optimal MA-MGGP model put forward a parsimonious solution, which has a noteworthy importance of being applied in practice. In addition, the approach allows the user to enter human insight into the problem to examine evolved models and pick the best performing programs out for further analysis.

  4. On the Cutting Edge Professional Development Program - An effective model built from years of experience (United States)

    Bruckner, M. Z.; Macdonald, H.; Beane, R. J.; Manduca, C. A.; Mcconnell, D. A.; Mogk, D. W.; Tewksbury, B. J.; Wiese, K.; Wysession, M. E.; Iverson, E. A. R.; Fox, S.


    The On the Cutting Edge (CE) program offers a successful model for designing and convening professional development events. Information about the model is now available on the CE website. The program model has evolved from more than 12 years of experience, building with input from strong leaders and participants. CE offers face-to-face, virtual, and hybrid events, and features a rich website that supports these professional development events as well as a growing community with a shared interest in effective geoscience teaching. Data from national surveys, participant feedback, and self-report data indicate the program's success in improving undergraduate geoscience education. Successes are also demonstrated in classroom observations using RTOP, indicating a significant difference in teaching style among participants and non-participants. A suite of web pages, with a planning timeline, provides guidance to those interested in designing and convening face-to-face or virtual events based on the CE model. The pages suggest ways to develop robust event goals and evaluation tools, how to choose strong leaders and recruit diverse participants, advice for designing effective event programs that utilize participant expertise, websites, and web tools, and suggestions for effectively disseminating event results and producing useful products. The CE model has been successfully transferred to projects that vary in scale and discipline. Best practices from the CE model include (1) thinking of the workshop as shared enterprise among conveners and participants; (2) incorporating conveners and participants who bring diverse viewpoints and approaches; (3) promoting structured discussions that utilize participants' expertise; (4) emphasizing practical strategies to effect change; and (5) using the website as a platform to prepare for the workshop, share ideas, and problem-solve challenges. Learn more about how to utilize this model for your project

  5. Exhaustively characterizing feasible logic models of a signaling network using Answer Set Programming. (United States)

    Guziolowski, Carito; Videla, Santiago; Eduati, Federica; Thiele, Sven; Cokelaer, Thomas; Siegel, Anne; Saez-Rodriguez, Julio


    Logic modeling is a useful tool to study signal transduction across multiple pathways. Logic models can be generated by training a network containing the prior knowledge to phospho-proteomics data. The training can be performed using stochastic optimization procedures, but these are unable to guarantee a global optima or to report the complete family of feasible models. This, however, is essential to provide precise insight in the mechanisms underlaying signal transduction and generate reliable predictions. We propose the use of Answer Set Programming to explore exhaustively the space of feasible logic models. Toward this end, we have developed caspo, an open-source Python package that provides a powerful platform to learn and characterize logic models by leveraging the rich modeling language and solving technologies of Answer Set Programming. We illustrate the usefulness of caspo by revisiting a model of pro-growth and inflammatory pathways in liver cells. We show that, if experimental error is taken into account, there are thousands (11 700) of models compatible with the data. Despite the large number, we can extract structural features from the models, such as links that are always (or never) present or modules that appear in a mutual exclusive fashion. To further characterize this family of models, we investigate the input-output behavior of the models. We find 91 behaviors across the 11 700 models and we suggest new experiments to discriminate among them. Our results underscore the importance of characterizing in a global and exhaustive manner the family of feasible models, with important implications for experimental design. caspo is freely available for download (license GPLv3) and as a web service at Supplementary materials are available at Bioinformatics online.

  6. Wavelet-linear genetic programming: A new approach for modeling monthly streamflow (United States)

    Ravansalar, Masoud; Rajaee, Taher; Kisi, Ozgur


    The streamflows are important and effective factors in stream ecosystems and its accurate prediction is an essential and important issue in water resources and environmental engineering systems. A hybrid wavelet-linear genetic programming (WLGP) model, which includes a discrete wavelet transform (DWT) and a linear genetic programming (LGP) to predict the monthly streamflow (Q) in two gauging stations, Pataveh and Shahmokhtar, on the Beshar River at the Yasuj, Iran were used in this study. In the proposed WLGP model, the wavelet analysis was linked to the LGP model where the original time series of streamflow were decomposed into the sub-time series comprising wavelet coefficients. The results were compared with the single LGP, artificial neural network (ANN), a hybrid wavelet-ANN (WANN) and Multi Linear Regression (MLR) models. The comparisons were done by some of the commonly utilized relevant physical statistics. The Nash coefficients (E) were found as 0.877 and 0.817 for the WLGP model, for the Pataveh and Shahmokhtar stations, respectively. The comparison of the results showed that the WLGP model could significantly increase the streamflow prediction accuracy in both stations. Since, the results demonstrate a closer approximation of the peak streamflow values by the WLGP model, this model could be utilized for the simulation of cumulative streamflow data prediction in one month ahead.

  7. Predictive Models of Duration of Ground Delay Programs in New York Area Airports (United States)

    Kulkarni, Deepak


    Initially planned GDP duration often turns out to be an underestimate or an overestimate of the actual GDP duration. This, in turn, results in avoidable airborne or ground delays in the system. Therefore, better models of actual duration have the potential of reducing delays in the system. The overall objective of this study is to develop such models based on logs of GDPs. In a previous report, we described descriptive models of Ground Delay Programs. These models were defined in terms of initial planned duration and in terms of categorical variables. These descriptive models are good at characterizing the historical errors in planned GDP durations. This paper focuses on developing predictive models of GDP duration. Traffic Management Initiatives (TMI) are logged by Air Traffic Control facilities with The National Traffic Management Log (NTML) which is a single system for automated recoding, coordination, and distribution of relevant information about TMIs throughout the National Airspace System. (Brickman, 2004 Yuditsky, 2007) We use 2008-2009 GDP data from the NTML database for the study reported in this paper. NTML information about a GDP includes the initial specification, possibly one or more revisions, and the cancellation. In the next section, we describe general characteristics of Ground Delay Programs. In the third section, we develop models of actual duration. In the fourth section, we compare predictive performance of these models. The final section is a conclusion.

  8. Thermomechanical behavior of thermoset shape memory polymer programmed by cold-compression: Testing and constitutive modeling (United States)

    Li, Guoqiang; Xu, Wei


    Programming is a key process for thermally activated stress or strain recovery of shape memory polymers (SMPs). Typically, programming requires an initial heating above the glass transition temperature ( Tg), subsequent cooling below Tg and removal of the applied load, in order to fix a temporary shape. This work adopted a new approach to program thermoset SMPs directly at temperatures well below Tg, which effectively simplified the shape fixing process. 1-D compression programming below Tg and free shape recovery of a thermoset SMP were experimentally investigated. Functional stability of the shape fixity under various environmental attacks was also experimentally evaluated. A mechanism-based thermoviscoelastic-thermoviscoplastic constitutive model incorporating structural and stress relaxation was then developed to predict the nonlinear shape memory behavior of the SMP trained below Tg. Comparison between the prediction and the experiment showed good agreement. The structure dependence of the thermomechanical behavior of the SMP was further discussed through a parametric study per the validated constitutive model. This study validates that programming by cold-compression is a viable alternative for thermally responsive thermoset SMPs.

  9. NASTRAN Modeling of Flight Test Components for UH-60A Airloads Program Test Configuration (United States)

    Idosor, Florentino R.; Seible, Frieder


    Based upon the recommendations of the UH-60A Airloads Program Review Committee, work towards a NASTRAN remodeling effort has been conducted. This effort modeled and added the necessary structural/mass components to the existing UH-60A baseline NASTRAN model to reflect the addition of flight test components currently in place on the UH-60A Airloads Program Test Configuration used in NASA-Ames Research Center's Modern Technology Rotor Airloads Program. These components include necessary flight hardware such as instrument booms, movable ballast cart, equipment mounting racks, etc. Recent modeling revisions have also been included in the analyses to reflect the inclusion of new and updated primary and secondary structural components (i.e., tail rotor shaft service cover, tail rotor pylon) and improvements to the existing finite element mesh (i.e., revisions of material property estimates). Mode frequency and shape results have shown that components such as the Trimmable Ballast System baseplate and its respective payload ballast have caused a significant frequency change in a limited number of modes while only small percent changes in mode frequency are brought about with the addition of the other MTRAP flight components. With the addition of the MTRAP flight components, update of the primary and secondary structural model, and imposition of the final MTRAP weight distribution, modal results are computed representative of the 'best' model presently available.

  10. Petri Nets Based Modelling of Control Flow for Memory-Aid Interactive Programs in Telemedicine

    CERN Document Server

    Khoromskaia, V K


    Petri Nets (PN) based modelling of the control flow for the interactive memory assistance programs designed for personal pocket computers and having special requirements for robustness is considered. The proposed concept allows one to elaborate the programs which can give users a variety of possibilities for a day-time planning in the presence of environmental and time restrictions. First, a PN model for a known simple algorithm is constructed and analyzed using the corresponding state equations and incidence matrix. Then a PN graph for a complicated algorithm with overlapping actions and choice possibilities is designed, supplemented by an example of its analysis. Dynamic behaviour of this graph is tested by tracing of all possible paths of the flow of control using the PN simulator. It is shown that PN based modelling provides reliably predictable performance of interactive algorithms with branched structures and concurrency requirements.

  11. MECCA coordinated research program: analysis of climate models uncertainties used for climatic changes study

    International Nuclear Information System (INIS)

    Caneill, J.Y.; Hakkarinen, C.


    An international consortium, called MECCA, (Model Evaluation Consortium for Climate Assessment) has been created in 1991 by different partners including electric utilities, government and academic groups to make available to the international scientific community, a super-computer facility for climate evolution studies. The first phase of the program consists to assess uncertainties of climate model simulations in the framework of global climate change studies. Fourteen scientific projects have been accepted on an international basis in this first phase. The second phase of the program will consist in the evaluation of a set of long climate simulations realized with coupled ocean/atmosphere models, in order to study the transient aspects of climate changes and the associated uncertainties. A particular attention will be devoted, on the consequences of these assessments on climate impact studies, and on the regional aspects of climate changes

  12. Does Head Start differentially benefit children with risks targeted by the program's service model? (United States)

    Miller, Elizabeth B; Farkas, George; Duncan, Greg J

    Data from the Head Start Impact Study ( N = 3540) were used to test for differential benefits of Head Start after one program year and after kindergarten on pre-academic and behavior outcomes for children at risk in the domains targeted by the program's comprehensive services. Although random assignment to Head Start produced positive treatment main effects on children's pre-academic skills and behavior problems, residualized growth models showed that random assignment to Head Start did not differentially benefit the pre-academic skills of children with risk factors targeted by the Head Start service model. The models showed detrimental impacts of Head Start for maternal-reported behavior problems of high-risk children, but slightly more positive impacts for teacher-reported behavior. Policy implications for Head Start are discussed.

  13. Application of Computer Program Carsim for Modelling Single and Double Lane Change Manoeuvres

    Directory of Open Access Journals (Sweden)

    Artūras Žukas


    Full Text Available The paper analyzes the possibilities of using computer aided modelling programs for developing new cars to achieve better dynamical properties of control over vehicles. The article shortly reviews the behaviour of young and experienced drivers and models describing it. The paper covers the process of turning car steering wheel, considers acceptable values of lateral acceleration comfortable for a car driver and all car passengers and presents computer aided modelling program CarSim used for displaying single and double lane change manoeuvres at various speeds on dry asphalt. The given charts, including data about steering wheel angle and lateral acceleration values indicate single and double lane change manoeuvres performed by a car. Also, the values of longitudinal and lateral forces of each wheel during the double lane change manoeuvre are provided.

  14. MININR: a geochemical computer program for inclusion in water flow models - an application study

    Energy Technology Data Exchange (ETDEWEB)

    Felmy, A.R.; Reisenauer, A.E.; Zachara, J.M.; Gee, G.W.


    MININR is a reduced form of the computer program MINTEQ which calculates equilibrium precipitation/dissolution of solid phases, aqueous speciation, adsorption, and gas phase equilibrium. The user-oriented features in MINTEQ were removed to reduce the size and increase the computational speed. MININR closely resembles the MINEQL computer program developed by Westall (1976). The main differences between MININR and MINEQL involve modifications to accept an initial starting mass of solid and necessary changes for linking with a water flow model. MININR in combination with a simple water flow model which considers only dilution was applied to a laboratory column packed with retorted oil shale and percolated with distilled water. Experimental and preliminary model simulation results are presented for the constituents K/sup +/, Na/sup +/, SO/sub 4//sup 2 -/, Mg/sup 2 +/, Ca/sup 2 +/, CO/sub 3//sup 2 -/ and pH.

  15. Mixed integer linear programming model for dynamic supplier selection problem considering discounts

    Directory of Open Access Journals (Sweden)

    Adi Wicaksono Purnawan


    Full Text Available Supplier selection is one of the most important elements in supply chain management. This function involves evaluation of many factors such as, material costs, transportation costs, quality, delays, supplier capacity, storage capacity and others. Each of these factors varies with time, therefore, supplier identified for one period is not necessarily be same for the next period to supply the same product. So, mixed integer linear programming (MILP was developed to overcome the dynamic supplier selection problem (DSSP. In this paper, a mixed integer linear programming model is built to solve the lot-sizing problem with multiple suppliers, multiple periods, multiple products and quantity discounts. The buyer has to make a decision for some products which will be supplied by some suppliers for some periods cosidering by discount. To validate the MILP model with randomly generated data. The model is solved by Lingo 16.

  16. Dichroic directional excitation of surface plasmon based on an integer-programming model. (United States)

    Chen, Quansheng; Sun, Yuanchao; Wang, Yueke


    A silver film perforated with two subwavelength uniform slits is proposed for dichroic directional excitation of surface plasmon polaritons (SPPs). Under backside oblique illumination, the SPPs for two work wavelengths can propagate along the two opposite directions or in the same direction. Based on SPP interference, an integer-programming model is established for dichroic directional excitation of SPPs. The branch and bound method is introduced to find the optimal solutions for the integer-programming model, and therefore, the parameters of the structure and illumination angles can be obtained. The field distribution of the structure is investigated by using the finite-difference time-domain method (FDTD) to verify our design. Our theoretical model can achieve dichroic directional excitation of SPPs, simultaneously.

  17. Modelling the effects of U.S. ENERGY STARR appliance programs

    International Nuclear Information System (INIS)

    Feldman, Shel; Hoefgen, Lynn; Wilson-Wright, Lisa; Li, Angela


    Numerous U.S. utilities and market transformation organizations have invested heavily in the ENERGY STAR program, designed to increase market penetration of energy-efficient products (e.g., home appliances, lighting products, windows). Major activities involve stimulating production and promotion of qualifying models, as well as stocking, sales support and financial incentives to customers-all of which entail considerable investments of public funds. Several studies have shown that customer awareness of ENERGY STAR has increased across the country, particularly where energy-efficiency programs have been most active. Furthermore, studies in regions with aggressive programs have shown that the market penetration of qualifying products has increased rapidly. Until recently, however, policy makers have lacked reliable studies that compare changes in market penetration across regions with and without programs while factoring out effects of demographic and other background factors (e.g., education, income, and climate). Also lacking have been attempts to assess whether heavy promotion of the ENERGY STAR brand with some appliances (e.g., clothes washers) has affected the market penetration of less-promoted qualifying appliances. In this paper, the authors address these issues, using a database of the market penetration of four major home appliances at national retailers in each of the individual states over a multi-year period, based on multivariate statistical models. Results include both analyses of the overall trend of market penetration (1998-2002) for the appliances considered and the incremental effects of the 2003 program. The results lead to recommendations regarding the design of programs supporting ENERGY STAR compliant appliances and the key components of those programs

  18. A Simulation Modeling Framework to Optimize Programs Using Financial Incentives to Motivate Health Behavior Change. (United States)

    Basu, Sanjay; Kiernan, Michaela


    While increasingly popular among mid- to large-size employers, using financial incentives to induce health behavior change among employees has been controversial, in part due to poor quality and generalizability of studies to date. Thus, fundamental questions have been left unanswered: To generate positive economic returns on investment, what level of incentive should be offered for any given type of incentive program and among which employees? We constructed a novel modeling framework that systematically identifies how to optimize marginal return on investment from programs incentivizing behavior change by integrating commonly collected data on health behaviors and associated costs. We integrated "demand curves" capturing individual differences in response to any given incentive with employee demographic and risk factor data. We also estimated the degree of self-selection that could be tolerated: that is, the maximum percentage of already-healthy employees who could enroll in a wellness program while still maintaining positive absolute return on investment. In a demonstration analysis, the modeling framework was applied to data from 3000 worksite physical activity programs across the nation. For physical activity programs, the incentive levels that would optimize marginal return on investment ($367/employee/year) were higher than average incentive levels currently offered ($143/employee/year). Yet a high degree of self-selection could undermine the economic benefits of the program; if more than 17% of participants came from the top 10% of the physical activity distribution, the cost of the program would be expected to always be greater than its benefits. Our generalizable framework integrates individual differences in behavior and risk to systematically estimate the incentive level that optimizes marginal return on investment. © The Author(s) 2015.

  19. Creating the Action Model for High Risk Infant Follow Up Program in Iran. (United States)

    Heidarzadeh, Mohammad; Jodiery, Behzad; Mirnia, Kayvan; Akrami, Forouzan; Hosseini, Mohammad Bagher; Heidarabadi, Seifollah; HabibeLahi, Abbas


    Intervention in early childhood development as one of the social determinants of health, is important for reducing social gap and inequity. In spite of increasingly developing intensive neonatal care wards and decreasing neonatal mortality rate, there is no follow up program in Iran. This study was carreid out to design high risk infants follow up care program with the practical aim of creating an model action for whole country, in 2012. This qualitative study has been done by the Neonatal Department of the Deputy of Public Health in cooperation with Pediatrics Health Research Center of Tabriz University of Medical Sciences, Iran. After study of international documents, consensus agreement about adapted program for Iran has been accomplished by focus group discussion and attended Delphi agreement technique. After compiling primary draft included evidence based guidelines and executive plan, 14 sessions including expert panels were hold to finalize the program. After finalizing the program, high risk infants follow up care service package has been designed in 3 chapters: Evidence based clinical guidelines; eighteen main clinical guidelines and thirteen subsidiaries clinical guidelines, executive plan; 6 general, 6 following up and 5 backup processes. Education program including general and especial courses for care givers and follow up team, and family education processes. We designed and finalized high risk infants follow up care service package. It seems to open a way to extend it to whole country.

  20. Evaluation of a collective kitchens program: using the Population Health Promotion Model. (United States)

    Fano, Tara J; Tyminski, Sheila M; Flynn, Mary A T


    To evaluate the impact of the Calgary Health Region Collective Kitchen Program on various Population Health Promotion Model health determinants, data were collected through mail-in questionnaires that examined the members' (n=331) and coordinators' (n=58) perspectives of the program. Seventy-nine members (24%) and 26 coordinators (45%) were included in the study. Three incomplete questionnaires (from prenatal program members) were discarded. Sixty-one percent of members who reported income level and family size (n=61) had incomes below the low-income cut-off. Fifty-eight members (73%) reported improvements in their lives because of the program. Sixty-four members (81%) perceived they learned to feed their families healthier foods. The members reported their fruit and vegetable consumption before and since joining a collective kitchen, and the proportion of those consuming at least five fruit and vegetable servings a day rose from 29% to 47%. The most common reasons for joining this program concerned social interactions and support. Over 90% of the coordinators perceived that they were competent to coordinate a kitchen. The results indicate that the collective kitchens program addresses several health determinants, and may increase members' capacity to attain food security and to achieve improved nutritional health.

  1. Enhancement of weld failure and tube ejection model in PENTAP program

    International Nuclear Information System (INIS)

    Jung, Jaehoon; An, Sang Mo; Ha, Kwang Soon; Kim, Hwan Yeol


    The reactor vessel pressure, the debris mass, the debris temperature, and the component of material can have an effect on the penetration tube failure modes. Furthermore, these parameters are interrelated. There are some representative severe accident codes such as MELCOR, MAAP, and PENTAP program. MELCOR decides on a penetration tube failure by its failure temperature such as 1273K simply. MAAP considers all penetration failure modes and has the most advanced model for a penetration tube failure model. However, the validation work against the experimental data is very limited. PENTAP program which evaluates the possible penetration tube failure modes such as creep failure, weld failure, tube ejection, and a long term tube failure under given accident condition was developed by KAERI. The experiment for the tube ejection is being performed by KAERI. The temperature distribution and the ablation rate of both weld and lower vessel wall can be obtained through the experiment. This paper includes the updated calculation steps for the weld failure and the tube ejection modes of the PENTAP program to apply the experimental results. PENTAP program can evaluate the possible penetration tube failure modes. It still requires a large amount of efforts to increase the prediction of failure modes. Some calculation steps are necessary for applying the experimental and the numerical data in the PENTAP program. In this study, new calculation steps are added to PENTAP program to enhance the weld failure and tube ejection models using KAERI's experimental data which are the ablation rate and temperature distribution of weld and lower vessel wall

  2. Development of a Rheumatoid Arthritis Education Program using the PRECEDE_PROCEED Model

    Directory of Open Access Journals (Sweden)

    Kaveh Bahmanpour


    Full Text Available Background: In order to help rheumatoid arthritis (RA patients in carrying out and attaining relevant self-care behaviors and adaptation to the physical limitations of this disease and, conse-quently, promoting their level of health status, an education program based on the PRECEDE component of the PRECEDE–PROCEED model targeting patients with RA was developed. This paper describes the planning of a RA Patient Education Program (RAPEP designed to promote their quality of life.Methods: The development of the program began with a comprehensive review of the literature. This included a review of the signs and symptoms of RA, accompanying functional disabilities, previous educational programs and the effect of the disease on the patient’s quality of life. Be-sides, in order to help inform RAPEP program development, and organize the survey according to the factors identified in the PRECEDE model a cross-sectional survey was applied on a non-prob-ability sample of 181 outpatients in Yazd, center of Iran.Results: The quality of life (QOL problem identified was the considerable low role functioning, health perception and physical functioning due to chronic pain. One of the most significant modi-fiable behavioral factors impacting pain and functional limitations was self-care behaviors in RA patients. Higher level of knowledge, attitude, self-efficacy, enabling factors and social support is associated with better self-care behavior.Conclusions: The PRECEDE component of the PRECEDE–PROCEED model provided a com-prehensive conceptual framework for the development of RAPEP aiming at RA patients in Yazd. Further research to evaluate this educational program is suggested.

  3. Model-based engineering:a strategy for RRW and future weapons programs.

    Energy Technology Data Exchange (ETDEWEB)

    Harris, Rick; Martinez, Jacky R.


    To meet Sandia's engineering challenges it is crucial that we shorten the product realization process. The challenge of RRW is to produce exceptional high quality designs and respond to changes quickly. Computer aided design models are an important element in realizing these objectives. Advances in the use of three dimensional geometric models on the Reliable Robust Warhead (RRW) activity have resulted in business advantage. This approach is directly applicable to other programs within the Laboratories. This paper describes the RRW approach and rationale. Keys to this approach are defined operational states that indicate a pathway for greater model-based realization and responsive infrastructure.

  4. A two-factor, stochastic programming model of Danish mortgage-backed securities

    DEFF Research Database (Denmark)

    Nielsen, Søren S.; Poulsen, Rolf


    -trivial, both in terms of deciding on an initial mortgage, and in terms of managing (rebalancing) it optimally.We propose a two-factor, arbitrage-free interest-rate model, calibrated to observable security prices, and implement on top of it a multi-stage, stochastic optimization program with the purpose...... of optimally composing and managing a typical mortgage loan. We model accurately both fixed and proportional transaction costs as well as tax effects. Risk attitudes are addressed through utility functions and through worst-case (min-max) optimization. The model is solved in up to 9 stages, having 19...

  5. A mixed-integer goal programming model for nursing service budgeting. (United States)

    Trivedi, V M


    This paper presents a mixed-integer goal programming model for expense budgeting in a hospital nursing department. The model incorporates several different objectives based upon such considerations as cost containment and providing appropriate nursing hours for delivering quality nursing care. Also considered are possible trade-offs among full-time, part-time and overtime nurses on weekdays as well as weekends. The budget includes vacation, sick leave, holiday, and seniority policies of a hospital and various constraints on a hospital nursing service imposed by nursing unions. The results are based upon data from a study hospital and indicate that the model is practical for budgeting in a hospital nursing department.

  6. Networked Timetable Stability Improvement Based on a Bilevel Optimization Programming Model

    Directory of Open Access Journals (Sweden)

    Xuelei Meng


    Full Text Available Train timetable stability is the possibility to recover the status of the trains to serve as arranged according to the original timetable when the trains are disturbed. To improve the train timetable stability from the network perspective, the bilevel programming model is constructed, in which the upper level programming is to optimize the timetable stability on the network level and the lower is to improve the timetable stability on the dispatching railway segments. Timetable stability on the network level is defined with the variances of the utilization coefficients of the section capacity and station capacity. Weights of stations and sections are decided by the capacity index number and the degrees. The lower level programming focuses on the buffer time distribution plan of the trains operating on the sections and stations, taking the operating rules of the trains as constraints. A novel particle swarm algorithm is proposed and designed for the bilevel programming model. The computing case proves the feasibility of the model and the efficiency of the algorithm. The method outlined in this paper can be embedded in the networked train operation dispatching system.

  7. The New York City shared aide program (cluster care): a model for the future. (United States)

    Balinsky, W; LaPolla, J F


    In order to combat rapidly escalating home health care costs, New York City and State have inaugurated a "shared aide" program in which home attendant "teams," as opposed to individual aides, serve large groups of elderly clients who live in close proximity (e.g., at senior housing sites), thus reducing the aide-to-client ratio. Using New York City as a model, this paper examines the premises underlying the shared aide concept--the program's objectives, methodology, advantages/disadvantages to home care workers and clients, and, most importantly, its potential, if implemented nationwide, for cost containment and a corresponding substantial reduction in the Medicaid budget.

  8. Performance comparison of genetic algorithms and particle swarm optimization for model integer programming bus timetabling problem (United States)

    Wihartiko, F. D.; Wijayanti, H.; Virgantari, F.


    Genetic Algorithm (GA) is a common algorithm used to solve optimization problems with artificial intelligence approach. Similarly, the Particle Swarm Optimization (PSO) algorithm. Both algorithms have different advantages and disadvantages when applied to the case of optimization of the Model Integer Programming for Bus Timetabling Problem (MIPBTP), where in the case of MIPBTP will be found the optimal number of trips confronted with various constraints. The comparison results show that the PSO algorithm is superior in terms of complexity, accuracy, iteration and program simplicity in finding the optimal solution.

  9. NASA's Student Airborne Research Program as a model for effective professional development experience in Oceanography (United States)

    Palacios, S. L.; Kudela, R. M.; Clinton, N. E.; Atkins, N.; Austerberry, D.; Johnson, M.; McGonigle, J.; McIntosh, K.; O'Shea, J. J.; Shirshikova, Z.; Singer, N.; Snow, A.; Woods, R.; Schaller, E.; Shetter, R. E.


    With over half of the current earth and space science workforce expected to retire within the next 15 years, NASA has responded by cultivating young minds through programs such as the Student Airborne Research Program (SARP). SARP is a competitive internship that introduces upper-level undergraduates and early graduate students to Earth System Science research and NASA's Airborne Science Program. The program serves as a model for recruitment of very high caliber students into the scientific workforce. Its uniqueness derives from total vertical integration of hands-on experience at every stage of airborne science: aircraft instrumentation, flight planning, mission participation, field-work, analysis, and reporting of results in a competitive environment. At the conclusion of the program, students presented their work to NASA administrators, faculty, mentors, and the other participants with the incentive of being selected as best talk and earning a trip to the fall AGU meeting to present their work at the NASA booth. We hope lessons learned can inform the decisions of scientists at the highest levels seeking to broaden the appeal of research. In 2011, SARP was divided into three disciplinary themes: Oceanography, Land Use, and Atmospheric Chemistry. Each research group was mentored by an upper-level graduate student who was supervised by an expert faculty member. A coordinator managed the program and was supervised by a senior research scientist/administrator. The program is a model of knowledge transfer among the several levels of research: agency administration to the program coordinator, established scientific experts to the research mentors, and the research mentors to the pre-career student participants. The outcomes from this program include mission planning and institutional knowledge transfer from administrators and expert scientists to the coordinator and research mentors; personnel and project management from the coordinator and expert scientists to the

  10. Two-stage stochastic programming model for the regional-scale electricity planning under demand uncertainty

    International Nuclear Information System (INIS)

    Huang, Yun-Hsun; Wu, Jung-Hua; Hsu, Yu-Ju


    Traditional electricity supply planning models regard the electricity demand as a deterministic parameter and require the total power output to satisfy the aggregate electricity demand. But in today's world, the electric system planners are facing tremendously complex environments full of uncertainties, where electricity demand is a key source of uncertainty. In addition, electricity demand patterns are considerably different for different regions. This paper developed a multi-region optimization model based on two-stage stochastic programming framework to incorporate the demand uncertainty. Furthermore, the decision tree method and Monte Carlo simulation approach are integrated into the model to simplify electricity demands in the form of nodes and determine the values and probabilities. The proposed model was successfully applied to a real case study (i.e. Taiwan's electricity sector) to show its applicability. Detail simulation results were presented and compared with those generated by a deterministic model. Finally, the long-term electricity development roadmap at a regional level could be provided on the basis of our simulation results. - Highlights: • A multi-region, two-stage stochastic programming model has been developed. • The decision tree and Monte Carlo simulation are integrated into the framework. • Taiwan's electricity sector is used to illustrate the applicability of the model. • The results under deterministic and stochastic cases are shown for comparison. • Optimal portfolios of regional generation technologies can be identified.


    Directory of Open Access Journals (Sweden)

    Bambang Ali Nugroho


    Full Text Available The objective of this study was to explore the improvement of Nestle milk district model in East Java. Secondary data on dairy development in East Java was used to analyse internal and external factors. SWOT analysis method was used to evaluate existing condition of dairy development in East Java and to build a recomended strategy to improve milk district model. In simplest terms, setting up a milk district involved: a negotiating agreements with farmers for twice-daily collection of their milk, b installing chilling centers in the larger community and collection points in the villages or adapting existing collection infrastructure, c arranging transportation from collection centers to the district’s factory, and d implementing a program to improve milk quality. In reality building a milk district model is not core business or core competence of Nestle but its something absolutely necessary to be introduced. After this program have been introduced, the smallscale dairy farmers were capable to organise themselves to produce freshmilk. Nestle have introduced various insentive systems to support smallscale dairy farmers capacity to guarantee that they have self responsability in dairy farming activities have positive impacts on productivity, quality product and product safety, that all that aspects will give benefit to Nestle. (Key words: Milk district model, Dairy farmer, Dairy cooperative, Milk processing industry, Strategy, Program

  12. Experimental program for physics-of-failure modeling of electrolytic capacitors towards prognostics and health management

    International Nuclear Information System (INIS)

    Rana, Y.S.; Banerjee, Shantanab; Singh, Tej; Varde, P.V.


    Prognostics and Health Management (PHM) is a method used for predicting reliability of a component or system by assessing its current health and future operating conditions. A physics-of-failure (PoF)-based program on PHM for reliability prediction has been initiated at our institute. As part of the program, we aim at developing PoF-based models for degradation of electronic components and their experimental validation. In this direction, a database on existing PoF models for different electronic components has been prepared. We plan to experimentally determine the model constants and propose suitable methodology for PHM. Electrolytic capacitors are one of the most common passive components which find their applications in devices such as power supplies in aircrafts and printed circuit boards (PCBs) for regulation and protection of a nuclear reactor. Experimental studies have established that electrolytic capacitors degrade under electrical and thermal stress and tend to fail before their anticipated useful life at normal operating conditions. Equivalent series resistance (ESR) and capacitance (C) are the two main parameters used for monitoring health of such capacitors. In this paper, we present an experimental program for thermal and electrical overstress studies towards degradation models for electrolytic capacitors. (author)

  13. Teaching Scientific Computing: A Model-Centered Approach to Pipeline and Parallel Programming with C

    Directory of Open Access Journals (Sweden)

    Vladimiras Dolgopolovas


    Full Text Available The aim of this study is to present an approach to the introduction into pipeline and parallel computing, using a model of the multiphase queueing system. Pipeline computing, including software pipelines, is among the key concepts in modern computing and electronics engineering. The modern computer science and engineering education requires a comprehensive curriculum, so the introduction to pipeline and parallel computing is the essential topic to be included in the curriculum. At the same time, the topic is among the most motivating tasks due to the comprehensive multidisciplinary and technical requirements. To enhance the educational process, the paper proposes a novel model-centered framework and develops the relevant learning objects. It allows implementing an educational platform of constructivist learning process, thus enabling learners’ experimentation with the provided programming models, obtaining learners’ competences of the modern scientific research and computational thinking, and capturing the relevant technical knowledge. It also provides an integral platform that allows a simultaneous and comparative introduction to pipelining and parallel computing. The programming language C for developing programming models and message passing interface (MPI and OpenMP parallelization tools have been chosen for implementation.

  14. Comparative analysis of economic models in selected solar energy computer programs (United States)

    Powell, J. W.; Barnes, K. A.


    The economic evaluation models in five computer programs widely used for analyzing solar energy systems (F-CHART 3.0, F-CHART 4.0, SOLCOST, BLAST, and DOE-2) are compared. Differences in analysis techniques and assumptions among the programs are assessed from the point of view of consistency with the Federal requirements for life cycle costing (10 CFR Part 436), effect on predicted economic performance, and optimal system size, case of use, and general applicability to diverse systems types and building types. The FEDSOL program developed by the National Bureau of Standards specifically to meet the Federal life cycle cost requirements serves as a basis for the comparison. Results of the study are illustrated in test cases of two different types of Federally owned buildings: a single family residence and a low rise office building.

  15. Sri Lanka's Health Unit Program: A Model of "Selective" Primary Health Care

    Directory of Open Access Journals (Sweden)

    Soma Hewa


    Full Text Available This paper argues that the health unit program developed in Sri Lanka in the early twentieth century was an earlier model of selective primary health care promoted by the Rockefeller Foundation in the 1980s in opposition to comprehensive primary health care advocated by the Alma-Ata Declaration of the World Health Organization. A key strategy of the health unit program was to identify the most common and serious infectious diseases in each health unit area and control them through improved sanitation, health education, immunization and treatment with the help of local communities. The health unit program was later introduced to other countries in South and Southeast Asia as part of the Rockefeller Foundation's global campaign to promote public health.

  16. Remote sensing inputs to National Model Implementation Program for water resources quality improvement (United States)

    Eidenshink, J. C.; Schmer, F. A.


    The Lake Herman watershed in southeastern South Dakota has been selected as one of seven water resources systems in the United States for involvement in the National Model Implementation Program (MIP). MIP is a pilot program initiated to illustrate the effectiveness of existing water resources quality improvement programs. The Remote Sensing Institute (RSI) at South Dakota State University has produced a computerized geographic information system for the Lake Herman watershed. All components necessary for the monitoring and evaluation process were included in the data base. The computerized data were used to produce thematic maps and tabular data for the land cover and soil classes within the watershed. These data are being utilized operationally by SCS resource personnel for planning and management purposes.

  17. Developing a Novel Multi-objective Programming Model for Personnel Assignment Problem

    Directory of Open Access Journals (Sweden)

    Mehdi Seifbarghy


    Full Text Available The assignment of personnel to the right positions in order to increase organization's performance is one of the most crucial tasks in human resource management. In this paper, personnel assignment problem is formulated as a multi-objective binary integer programming model in which skills, level of satisfaction and training cost of personnel are considered simultaneously in productive company. The purpose of this model is to obtain the best matching between candidates and positions. In this model, a set of methods such as a group analytic hierarchy process (GAHP, Shannon entropy, coefficient of variation (CV and fuzzy logic are used to calculate the weights of evaluation criteria, weights of position and coefficient of objective functions. This proposed model can rationalize the subjective judgments of decision makers with mathematic models.

  18. Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling

    Directory of Open Access Journals (Sweden)

    Thomas Heckelei


    Full Text Available This paper reviews and discusses the more recent literature and application of Positive Mathematical Programming in the context of agricultural supply models. Specifically, advances in the empirical foundation of parameter specifications as well as the economic rationalisation of PMP models – both criticized in earlier reviews – are investigated. Moreover, the paper provides an overview on a larger set of models with regular/repeated policy application that apply variants of PMP. Results show that most applications today avoid arbitrary parameter specifications and rely on exogenous information on supply responses to calibrate model parameters. However, only few approaches use multiple observations to estimate parameters, which is likely due to the still considerable technical challenges associated with it. Equally, we found only limited reflection on the behavioral or technological assumptions that could rationalise the PMP model structure while still keeping the model’s advantages.

  19. Training in integrated mental health-primary care models: a national survey of child psychiatry program directors. (United States)

    Burkey, Matthew D; Kaye, David L; Frosch, Emily


    The objective of this study was to assess current trainee exposure to integrated mental health/primary care models in US child and adolescent psychiatry fellowship programs. In June 2013, an electronic survey was sent to all US child and adolescent psychiatry fellowship program directors (N=123). Fifty-two responses were obtained from the 120 eligible participants (43%). The majority of the program directors who responded (63%) indicated that fellows in their programs regularly participate in clinical care and/or consultation within an outpatient pediatric primary care setting. Program directors identified barriers to increasing training exposure to integrated care delivery as competing clinical demands and challenging financial models for indirect consultation in primary care settings. Many child psychiatry fellowship program directors view training in integrated care models as an important part of their teaching and service mission, and are creating novel avenues for exposure. Current funding models, however, may limit the widespread implementation of these opportunities.

  20. Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques (United States)

    Kisi, Ozgur; Sanikhani, Hadi; Cobaner, Murat


    The applicability of artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS), and genetic programming (GP) techniques in estimating soil temperatures (ST) at different depths is investigated in this study. Weather data from two stations, Mersin and Adana, Turkey, were used as inputs to the applied models in order to model monthly STs. The first part of the study focused on comparison of ANN, ANFIS, and GP models in modeling ST of two stations at the depths of 10, 50, and 100 cm. GP was found to perform better than the ANN and ANFIS-SC in estimating monthly ST. The effect of periodicity (month of the year) on models' accuracy was also investigated. Including periodicity component in models' inputs considerably increased their accuracies. The root mean square error (RMSE) of ANN models was respectively decreased by 34 and 27 % for the depths of 10 and 100 cm adding the periodicity input. In the second part of the study, the accuracies of the ANN, ANFIS, and GP models were compared in estimating ST of Mersin Station using the climatic data of Adana Station. The ANN models generally performed better than the ANFIS-SC and GP in modeling ST of Mersin Station without local climatic inputs.

  1. Comparing the engineering program feeders from SiF and convention models (United States)

    Roongruangsri, Warawaran; Moonpa, Niwat; Vuthijumnonk, Janyawat; Sangsuwan, Kampanart


    This research aims to compare the relationship between two types of engineering program feeder models within the technical education systems of Rajamangala University of Technology Lanna (RMUTL), Chiangmai, Thailand. To illustrate, the paper refers to two typologies of feeder models, which are the convention and the school in factory (SiF) models. The new SiF model is developed through a collaborative educational process between the sectors of industry, government and academia, using work-integrated learning. The research methodology were use to compared features of the the SiF model with conventional models in terms of learning outcome, funding budget for the study, the advantages and disadvantages from the point of view of students, professors, the university, government and industrial partners. The results of this research indicate that the developed SiF feeder model is the most pertinent ones as it meet the requirements of the university, the government and the industry. The SiF feeder model showed the ability to yield positive learning outcomes with low expenditures per student for both the family and the university. In parallel, the sharing of knowledge between university and industry became increasingly important in the process, which resulted in the improvement of industrial skills for professors and an increase in industrial based research for the university. The SiF feeder model meets its demand of public policy in supporting a skilled workforce for the industry, which could be an effective tool for the triple helix educational model of Thailand.

  2. The American Meteorological Society Education Program Model for Climate Science Education (United States)

    Weinbeck, R. S.; Moran, J. M.; Geer, I. W.; Hopkins, E. J.


    A guiding principle of the American Meteorological Society (AMS) Education Program is that public scientific literacy is most effectively achieved through systemic change in the classroom. The AMS, partnering with NOAA, NSF, NASA, the US Navy, and SUNY Brockport, aims for greater public scientific literacy through its successful distance learning programs that convey to pre-college teachers and undergraduates the fundamentals of meteorology, oceanography, and hydrology. The AMS DataStreme teacher-enhancement courses (Atmosphere, Water in the Earth System, and Ocean) have changed the way thousands of pre-college teachers teach and hundreds of thousands of students learn. Furthermore, teachers trained in this program are positioned to contribute to local and statewide curriculum reform. The AMS Online Weather Studies and Online Ocean Studies courses are providing tens of thousands of college undergraduates with engaging and highly motivational learning experiences. DataStreme courses are offered locally and feature mentoring of teacher participants whereas Online undergraduate courses are licensed by AMS for offering by colleges and universities. Integrated components of the AMS model are course website, investigations manual, and customized textbook. A portion of twice-weekly investigations is written to a near real-time situation and posted on the course website. Through its extensive experience with the DataStreme/Online programs, the AMS Education Program is now uniquely poised to assume a national leadership role in climate education by applying its proven teaching/learning model to climate education at the pre-college and undergraduate levels. The AMS model is ideally suited for delivering to teachers and students nationwide the basic understandings and enduring ideas of climate science and the role of the individual and society in climate variability and change. The AMS teaching/learning model incorporates an Earth system perspective, is problem focused, and

  3. The SKI*HI Model: Programming for Hearing Impaired Infants through Home Intervention, Home Visit Curriculum. Fourth Edition. (United States)

    Clark, Thomas C.; Watkins, Susan

    The manual describes the SKI*HI Model, a comprehensive approach to identification and home intervention treatment of hearing impaired children and their families. The model features home programing in four basic areas: the home hearing aid program (nine lessons which facilitate the proper fit and acceptance of amplification by the child), home…

  4. Open Studio Process as a Model of Social Action: A Program for At-Risk Youth. Brief Reports (United States)

    Block, Dayna; Harris, Ted; Laing, Sarah


    The Open Studio Project (OSP) is a nonprofit arts and social service organization. This report presents the OSP process as a model of social action. It describes how the model was implemented in a particular community to address a need for arts programs for at risk youth. "Art & Action," an outreach program of OSP, became a unique year round after…

  5. An analytical approach to thermal modeling of Bridgman type crystal growth: One dimensional analysis. Computer program users manual (United States)

    Cothran, E. K.


    The computer program written in support of one dimensional analytical approach to thermal modeling of Bridgman type crystal growth is presented. The program listing and flow charts are included, along with the complete thermal model. Sample problems include detailed comments on input and output to aid the first time user.

  6. Reduced-Size Integer Linear Programming Models for String Selection Problems: Application to the Farthest String Problem. (United States)

    Zörnig, Peter


    We present integer programming models for some variants of the farthest string problem. The number of variables and constraints is substantially less than that of the integer linear programming models known in the literature. Moreover, the solution of the linear programming-relaxation contains only a small proportion of noninteger values, which considerably simplifies the rounding process. Numerical tests have shown excellent results, especially when a small set of long sequences is given.

  7. A Multifaceted Model to Evaluate Interprofessional Education in Clinical Nurse Specialist Programs. (United States)

    Becker, Heather; Timmerman, Gayle M; Delville, Carole; Seo, EunJin

    Preparing students to engage in team-based healthcare is a major focus of clinical nurse specialist (CNS) education programs. A robust evaluation plan is needed to monitor achievement of key outcomes in this complex undertaking. Informed by the work of Kirkpatrick and Stufflebeam, an evaluation model that incorporates multiple information sources about process and outcomes related to interprofessional (IP) education is proposed. Improvements in scores on attitude and competency measures suggest that the program had the desired effects on students' attitudes and self-efficacy for IP collaboration and was validated by faculty clinical observations of IP communication and teamwork. Moreover, students indicated at both graduation and at 1-year follow-up surveys that they were prepared to function on IP teams, providing further evidence that the clinical nurse specialist (CNS) program prepared them in this key area of nursing practice. The evaluation plan guided the collection of quantitative and qualitative information that faculty could use to refine the CNS program. Congruent with the CNS role as change agents, future model refinements should incorporate systems change activities.

  8. Osteopathic postdoctoral training institutions: a decentralized model for facilitating accreditation and program quality. (United States)

    Peska, Don N; Opipari, Michael I; Watson, D Keith


    Osteopathic medicine has experienced significant growth in the number of accredited colleges and graduates over the past decade. Anticipating that growth and recognizing a responsibility to provide sufficient opportunities for quality postdoctoral training, the American Osteopathic Association created a national network of educational consortia to meet the needs of those graduates. These osteopathic postdoctoral training institutions (OPTIs) were to provide enhanced capability for the development and accreditation of new programs, quality oversight, and access to academic resources for their members. The plan reached full implementation in 1999 when all graduate training programs were required to become members of one of these consortia. Although several contributing factors can be considered, an increase in the rate at which training programs have obtained approval by the American Osteopathic Association has occurred under the OPTI model. Quality indicators are more elusive. Each OPTI provides peer-driven oversight to curriculum and faculty development and closely monitors outcomes such as in-service examination scores, certification board passage rates, and resident evaluations of programs.The strategy has enabled a much-sought-after transformation in osteopathic graduate medical education that has provided both strength and accountability to the preexisting infrastructure. As a decentralized accreditation model, OPTI is still evolving and warrants continued application and study.

  9. The ASM-NSF Biology Scholars Program: An Evidence-Based Model for Faculty Development. (United States)

    Chang, Amy L; Pribbenow, Christine M


    The American Society for Microbiology (ASM) established its ASM-NSF (National Science Foundation) Biology Scholars Program (BSP) to promote undergraduate education reform by 1) supporting biologists to implement evidence-based teaching practices, 2) engaging life science professional societies to facilitate biologists' leadership in scholarly teaching within the discipline, and 3) participating in a teaching community that fosters disciplinary-level science, technology, engineering, and mathematics (STEM) reform. Since 2005, the program has utilized year-long residency training to provide a continuum of learning and practice centered on principles from the scholarship of teaching and learning (SoTL) to more than 270 participants ("scholars") from biology and multiple other disciplines. Additionally, the program has recruited 11 life science professional societies to support faculty development in SoTL and discipline-based education research (DBER). To identify the BSP's long-term outcomes and impacts, ASM engaged an external evaluator to conduct a study of the program's 2010-2014 scholars (n = 127) and society partners. The study methods included online surveys, focus groups, participant observation, and analysis of various documents. Study participants indicate that the program achieved its proposed goals relative to scholarship, professional society impact, leadership, community, and faculty professional development. Although participants also identified barriers that hindered elements of their BSP participation, findings suggest that the program was essential to their development as faculty and provides evidence of the BSP as a model for other societies seeking to advance undergraduate science education reform. The BSP is the longest-standing faculty development program sponsored by a collective group of life science societies. This collaboration promotes success across a fragmented system of more than 80 societies representing the life sciences and helps

  10. A conative educational model for an intervention program in obese youth

    Directory of Open Access Journals (Sweden)

    Vanhelst Jérémy


    Full Text Available Abstract Background Obesity in children has increased in recent years throughout the world and is associated with adverse health consequences. Early interventions, including appropriate pedagogy strategies, are important for a successful intervention program. The aim of this study was to assess changes in body mass index, the ability to perform sport activities, behavior in the classroom and academic performance following one year of a health-wellness intervention program in obese youth. Methods The CEMHaVi program included 37 obese children (19 girls and 18 boys. Participants received an intervention program consisting of physical activity and health education. Assessment included body mass index, academic performance, classroom performance and ability to perform sport activities. Paired t tests were used to assess the effects of intervention, and chi square was used to assess inter-action between measures. Results Findings of the study suggest significant decrease in Z scores of Body Mass Index and an improvement of academic performance, classroom behavior and the ability to perform sport activities (p  Conclusions Results following year one of CEMHaVi showed that a program of physical activity and health education had positive effects on obesity, behavior in the classroom and the ability to perform sport activities in obese adolescents. Significant inter-action in changes between variables was observed. Findings are important for designing intervention models to improve health in obese youth.

  11. Enhanced index tracking modeling in portfolio optimization with mixed-integer programming z approach (United States)

    Siew, Lam Weng; Jaaman, Saiful Hafizah Hj.; Ismail, Hamizun bin


    Enhanced index tracking is a popular form of portfolio management in stock market investment. Enhanced index tracking aims to construct an optimal portfolio to generate excess return over the return achieved by the stock market index without purchasing all of the stocks that make up the index. The objective of this paper is to construct an optimal portfolio using mixed-integer programming model which adopts regression approach in order to generate higher portfolio mean return than stock market index return. In this study, the data consists of 24 component stocks in Malaysia market index which is FTSE Bursa Malaysia Kuala Lumpur Composite Index from January 2010 until December 2012. The results of this study show that the optimal portfolio of mixed-integer programming model is able to generate higher mean return than FTSE Bursa Malaysia Kuala Lumpur Composite Index return with only selecting 30% out of the total stock market index components.


    Directory of Open Access Journals (Sweden)

    Serban Corina


    Full Text Available The development of the Internet as a medium for interaction with customers has resulted in many changes regarding the promotion of organizations. Online marketing is nowadays used not only to sell a product on the market, but also requires ideas and behavioral change. Non-profit organizations active in online communication are based on the quality of their provided information. Crediblity, attractiveness and usefullness are the key elements that provide effective online social programs. This paper aims to extend the scope of research in the field of social marketing by studying the Ohanian model in the online environment. The goal is to highlight the important theories and social models intrinsic to the online non-profit organizations’ communication. The results show that the efficiency of social programs depends on the level of incorporated elements of social theories in the design, content and structure of the website.

  13. Fuzzy Decision-Making Approach in Geometric Programming for a Single Item EOQ Model

    Directory of Open Access Journals (Sweden)

    Monalisha Pattnaik


    Full Text Available Background and methods: Fuzzy decision-making approach is allowed in geometric programming for a single item EOQ model with dynamic ordering cost and demand-dependent unit cost. The setup cost varies with the quantity produced/purchased and the modification of objective function with storage area in the presence of imprecisely estimated parameters are investigated.  It incorporates all concepts of a fuzzy arithmetic approach, the quantity ordered, and demand per unit compares both fuzzy geometric programming technique and other models for linear membership functions.  Results and conclusions: Investigation of the properties of an optimal solution allows developing an algorithm whose validity is illustrated through an example problem and the results discu ssed. Sensitivity analysis of the optimal solution is also studied with respect to changes in different parameter values.  

  14. A Constraint Programming Model for Fast Optimal Stowage of Container Vessel Bays

    DEFF Research Database (Denmark)

    Delgado-Ortegon, Alberto; Jensen, Rune Møller; Janstrup, Kira


    Container vessel stowage planning is a hard combinatorial optimization problem with both high economic and environmental impact. We have developed an approach that often is able to generate near-optimal plans for large container vessels within a few minutes. It decomposes the problem into a master...... planning phase that distributes the containers to bay sections and a slot planning phase that assigns containers of each bay section to slots. In this paper, we focus on the slot planning phase of this approach and present a constraint programming and integer programming model for stowing a set...... of containers in a single bay section. This so-called slot planning problem is NP-hard and often involves stowing several hundred containers. Using state-of-the-art constraint solvers and modeling techniques, however, we were able to solve 90% of 236 real instances from our industrial collaborator to optimality...

  15. EIA models and capacity building in Viet Nam: an analysis of development aid programs

    International Nuclear Information System (INIS)

    Doberstein, Brent


    There has been a decided lack of empirical research examining development aid agencies as 'agents of change' in environmental impact assessment (EIA) systems in developing countries, particularly research examining the model of environmental planning practice promoted by aid agencies as part of capacity building. This paper briefly traces a conceptual framework of EIA, then introduces the concept of 'EIA capacity building'. Using Viet Nam as a case study, the paper then outlines the empirical results of the research, focusing on the extent to which aid agency capacity-building programs promoted a Technical vs. Planning Model of EIA and on the coherence of capacity-building efforts across all aid programs. A discussion follows, where research results are interpreted within the Vietnamese context, and implications of research results are identified for three main groups of actors. The paper concludes by calling for development aid agencies to reconceptualise EIA capacity building as an opportunity to transform developing countries' development planning processes

  16. Coding a Weather Model: DOE-FIU Science & Technology Workforce Development Program.

    Energy Technology Data Exchange (ETDEWEB)

    Bradley, Jon David [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)


    DOE Fellow, Andres Cremisini, completed a 10-week internship with Sandia National Laboratories (SNL) in Albuquerque, New Mexico. Under the management of Kristopher Klingler and the mentorship of Jon Bradley, he was tasked with conceiving and coding a realistic weather model for use in physical security applications. The objective was to make a weather model that could use real data to accurately predict wind and precipitation conditions at any location of interest on the globe at any user-determined time. The intern received guidance on software design, the C++ programming language and clear communication of project goals and ongoing progress. In addition, Mr. Cremisini was given license to structure the program however he best saw fit, an experience that will benefit ongoing research endeavors.

  17. Effects of the Implementation of the Colombian Accreditation Model for Academic Programs – A Study Based on the Case of Technology Programs

    Directory of Open Access Journals (Sweden)

    Nathalia Urbano Canal


    Full Text Available This article presents the results of research carried out to evaluate the proposal and the effectiveness of the Colombian model for the accreditation of academic programs by analyzing both its bases and the results of implementing the process in technological programs. Taking what was found as a starting point, the paper puts forward a proposal to improve the accreditation model in the following aspects: widening the participation of the members of the institutions in the evaluation process; designing a model for outside evaluation to encourage communication between those who apply to the evaluation and the program to be evaluated; supporting the process of institutional improvement; diversifying the accreditation organisms and models; and creating an external evaluation as a tool for the Consejo Nacional de Acreditación’s accountability

  18. Automated Eukaryotic Gene Structure Annotation Using EVidenceModeler and the Program to Assemble Spliced Alignments

    Energy Technology Data Exchange (ETDEWEB)

    Haas, B J; Salzberg, S L; Zhu, W; Pertea, M; Allen, J E; Orvis, J; White, O; Buell, C R; Wortman, J R


    EVidenceModeler (EVM) is presented as an automated eukaryotic gene structure annotation tool that reports eukaryotic gene structures as a weighted consensus of all available evidence. EVM, when combined with the Program to Assemble Spliced Alignments (PASA), yields a comprehensive, configurable annotation system that predicts protein-coding genes and alternatively spliced isoforms. Our experiments on both rice and human genome sequences demonstrate that EVM produces automated gene structure annotation approaching the quality of manual curation.


    Directory of Open Access Journals (Sweden)

    Vladimir A. Alekhin


    Full Text Available The educational complex on the electrical engineering and electronics has been developed. It contains a course of lectures and lecture notes in the electronic form, a new computer laboratory practical work and practical training. All electronic manuals are based on modeling of electric and electronic circuits in the new effective program TINA. The educational complex is being successfully used in educational process on internal and distant learning. 

  20. Java Programs for Using Newmark's Method and Simplified Decoupled Analysis to Model Slope Performance During Earthquakes (United States)

    Jibson, Randall W.; Jibson, Matthew W.


    Landslides typically cause a large proportion of earthquake damage, and the ability to predict slope performance during earthquakes is important for many types of seismic-hazard analysis and for the design of engineered slopes. Newmark's method for modeling a landslide as a rigid-plastic block sliding on an inclined plane provides a useful method for predicting approximate landslide displacements. Newmark's method estimates the displacement of a potential landslide block as it is subjected to earthquake shaking from a specific strong-motion record (earthquake acceleration-time history). A modification of Newmark's method, decoupled analysis, allows modeling landslides that are not assumed to be rigid blocks. This open-file report is available on CD-ROM and contains Java programs intended to facilitate performing both rigorous and simplified Newmark sliding-block analysis and a simplified model of decoupled analysis. For rigorous analysis, 2160 strong-motion records from 29 earthquakes are included along with a search interface for selecting records based on a wide variety of record properties. Utilities are available that allow users to add their own records to the program and use them for conducting Newmark analyses. Also included is a document containing detailed information about how to use Newmark's method to model dynamic slope performance. This program will run on any platform that supports the Java Runtime Environment (JRE) version 1.3, including Windows, Mac OSX, Linux, Solaris, etc. A minimum of 64 MB of available RAM is needed, and the fully installed program requires 400 MB of disk space.

  1. A Mixed Integer Linear Programming Model for the North Atlantic Aircraft Trajectory Planning


    Sbihi , Mohammed; Rodionova , Olga; Delahaye , Daniel; Mongeau , Marcel


    International audience; This paper discusses the trajectory planning problem for ights in the North Atlantic oceanic airspace (NAT). We develop a mathematical optimization framework in view of better utilizing available capacity by re-routing aircraft. The model is constructed by discretizing the problem parameters. A Mixed integer linear program (MILP) is proposed. Based on the MILP a heuristic to solve real-size instances is also introduced

  2. Human Social Culture Behavior Modeling Program Newsletter. Volume 1. Issue 1, Spring 2009 (United States)


    ONR Joanna (Jo) Lozano is a new member of the ONR Code 30 HSCB team. Joanna obtained her degree in Leisure & Tourism from Stroud College in...scientifi c and technical programs having supported research projects at DARPA, ONR, and NRL, as well as several studies for the DSB. Joanna Lozano...surfaces, p. 424, New York: Wiley. Harmon, S.Y., & Youngblood, S. M. (2005). A proposed model for simulation valida- tion process maturity. Journal

  3. A hybrid programming model for compressible gas dynamics using openCL

    Energy Technology Data Exchange (ETDEWEB)

    Bergen, Benjamin Karl [Los Alamos National Laboratory; Daniels, Marcus G [Los Alamos National Laboratory; Weber, Paul M [Los Alamos National Laboratory


    The current trend towards multicore/manycore and accelerated architectures presents challenges, both in portability, and also in the choices that developers must make on how to use the resources that these architectures provide. This paper explores some of the possibilities that are enabled by the Open Computing Language (OpenCL), and proposes a programming model that allows developers and scientists to more fully subscribe hybrid compute nodes, while, at the same time, reducing the impact of system failure.

  4. Evaluation of a Digital Game-Based Learning Program for Enhancing Youth Mental Health: A Structural Equation Modeling of the Program Effectiveness. (United States)

    Huen, Jenny My; Lai, Eliza Sy; Shum, Angie Ky; So, Sam Wk; Chan, Melissa Ky; Wong, Paul Wc; Law, Y W; Yip, Paul Sf


    Digital game-based learning (DGBL) makes use of the entertaining power of digital games for educational purposes. Effectiveness assessment of DGBL programs has been underexplored and no attempt has been made to simultaneously model both important components of DGBL: learning attainment (ie, educational purposes of DGBL) and engagement of users (ie, entertaining power of DGBL) in evaluating program effectiveness. This study aimed to describe and evaluate an Internet-based DGBL program, Professor Gooley and the Flame of Mind, which promotes mental health to adolescents in a positive youth development approach. In particular, we investigated whether user engagement in the DGBL program could enhance their attainment on each of the learning constructs per DGBL module and subsequently enhance their mental health as measured by psychological well-being. Users were assessed on their attainment on each learning construct, psychological well-being, and engagement in each of the modules. One structural equation model was constructed for each DGBL module to model the effect of users' engagement and attainment on the learning construct on their psychological well-being. Of the 498 secondary school students that registered and participated from the first module of the DGBL program, 192 completed all 8 modules of the program. Results from structural equation modeling suggested that a higher extent of engagement in the program activities facilitated users' attainment on the learning constructs on most of the modules and in turn enhanced their psychological well-being after controlling for users' initial psychological well-being and initial attainment on the constructs. This study provided evidence that Internet intervention for mental health, implemented with the technologies and digital innovations of DGBL, could enhance youth mental health. Structural equation modeling is a promising approach in evaluating the effectiveness of DGBL programs.

  5. Earth Global Reference Atmospheric Model 2007 (Earth-GRAM07) Applications for the NASA Constellation Program (United States)

    Leslie, Fred W.; Justus, C. G.


    Engineering models of the atmosphere are used extensively by the aerospace community for design issues related to vehicle ascent and descent. The Earth Global Reference Atmosphere Model version 2007 (Earth-GRAM07) is the latest in this series and includes a number of new features. Like previous versions, Earth-GRAM07 provides both mean values and perturbations for density, temperature, pressure, and winds, as well as monthly- and geographically-varying trace constituent concentrations. From 0 km to 27 km, thermodynamics and winds are based on the National Oceanic and Atmospheric Administration Global Upper Air Climatic Atlas (GUACA) climatology. For altitudes between 20 km and 120 km, the model uses data from the Middle Atmosphere Program (MAP). Above 120 km, EarthGRAM07 now provides users with a choice of three thermosphere models: the Marshall Engineering Thermosphere (MET-2007) model; the Jacchia-Bowman 2006 thermosphere model (JB2006); and the Naval Research Labs Mass Spectrometer, Incoherent Scatter Radar Extended Model (NRL MSIS E-OO) with the associated Harmonic Wind Model (HWM-93). In place of these datasets, Earth-GRAM07 has the option of using the new 2006 revised Range Reference Atmosphere (RRA) data, the earlier (1983) RRA data, or the user may also provide their own data as an auxiliary profile. Refinements of the perturbation model are also discussed which include wind shears more similar to those observed at the Kennedy Space Center than the previous version Earth-GRAM99.

  6. Overcoming barriers in care for the dying: Theoretical analysis of an innovative program model. (United States)

    Wallace, Cara L


    This article explores barriers to end-of-life (EOL) care (including development of a death denying culture, ongoing perceptions about EOL care, poor communication, delayed access, and benefit restrictions) through the theoretical lens of symbolic interactionism (SI), and applies general systems theory (GST) to a promising practice model appropriate for addressing these barriers. The Compassionate Care program is a practice model designed to bridge gaps in care for the dying and is one example of a program offering concurrent care, a recent focus of evaluation though the Affordable Care Act. Concurrent care involves offering curative care alongside palliative or hospice care. Additionally, the program offers comprehensive case management and online resources to enrollees in a national health plan (Spettell et al., 2009).SI and GST are compatible and interrelated theories that provide a relevant picture of barriers to end-of-life care and a practice model that might evoke change among multiple levels of systems. These theories promote insight into current challenges in EOL care, as well as point to areas of needed research and interventions to address them. The article concludes with implications for policy and practice, and discusses the important role of social work in impacting change within EOL care.

  7. Modeling transducer impulse responses for predicting calibrated pressure pulses with the ultrasound simulation program Field II

    DEFF Research Database (Denmark)

    Bæk, David; Jensen, Jørgen Arendt; Willatzen, Morten


    FIELD II is a simulation software capable of predicting the field pressure in front of transducers having any complicated geometry. A calibrated prediction with this program is, however, dependent on an exact voltage-to-surface acceleration impulse response of the transducer. Such impulse response...... is not calculated by FIELD II. This work investigates the usability of combining a one-dimensional multilayer transducer modeling principle with the FIELD II software. Multilayer here refers to a transducer composed of several material layers. Measurements of pressure and current from Pz27 piezoceramic disks...... transducer model and the FIELD II software in combination give good agreement with measurements....

  8. A planning model for a typical enrichement contract: a linear programming approach

    International Nuclear Information System (INIS)

    Miguez, J.D.G.; Barreto, P.M.S.P.


    The need to match the demand for enrichment services of a nuclear power plant program with the offer of a typical enrichment contract, taking into account all the existing constraints and flexibilities, implies in building up a mathematical model. For each set of demands, which can be fully supplied under contract, the model must furnish the best scheduling of the SWU quantities according to an economic criterium. Such schedulling consists of establishing the fractions of each SWU demand to be met and the respective dates. (Author) [pt

  9. Application of the Single Hardening Model in the Finite Element Program ABAQUS

    DEFF Research Database (Denmark)

    Jakobsen, Kim Parsberg

    or in combined deformation and flow problems. Today, many of these problems are solved using various finite element computer softwares, capable of handling both geometric and material non-linearities. The latter is especially important in soil mechanics and soil-structure interaction problems. Despite the feat...... model, developed by Lade and Kim (Kim & Lade 1988, Lade & Kim 1988a, Lade & Kim 1988b) is implemented as a user defined material module, UMAT, in the commercial finite element program, ABAQUS. The advantages of the Single Hardening Model Iie in its ability to predict elastic and plastic displacements...

  10. A History of Sandia’s Water Decision Modeling and Analysis Program

    Energy Technology Data Exchange (ETDEWEB)

    Lowry, Thomas Stephen [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Earth Systems Analysis; Pate, Ronald C. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Earth Systems Analysis


    This document provides a brief narrative, and selected project descriptions, that represent Sandia’s history involving data, modeling, and analysis related to water, energy-water nexus, and energy-water-agriculture nexus within the context of climate change. Sandia National Laboratories has been engaged since the early-1990s with program development involving data, modeling, and analysis projects that address the interdependent issues, risks, and technology-based mitigations associated with increasing demands and stresses being placed on energy, water, and agricultural/food resources, and the related impacts on their security and sustainability in the face of both domestic and global population growth, expanding economic development, and climate change.

  11. The VIS-AD data model: Integrating metadata and polymorphic display with a scientific programming language (United States)

    Hibbard, William L.; Dyer, Charles R.; Paul, Brian E.


    The VIS-AD data model integrates metadata about the precision of values, including missing data indicators and the way that arrays sample continuous functions, with the data objects of a scientific programming language. The data objects of this data model form a lattice, ordered by the precision with which they approximate mathematical objects. We define a similar lattice of displays and study visualization processes as functions from data lattices to display lattices. Such functions can be applied to visualize data objects of all data types and are thus polymorphic.

  12. Reverse engineering model structures for soil and ecosystem respiration: the potential of gene expression programming (United States)

    Ilie, Iulia; Dittrich, Peter; Carvalhais, Nuno; Jung, Martin; Heinemeyer, Andreas; Migliavacca, Mirco; Morison, James I. L.; Sippel, Sebastian; Subke, Jens-Arne; Wilkinson, Matthew; Mahecha, Miguel D.


    Accurate model representation of land-atmosphere carbon fluxes is essential for climate projections. However, the exact responses of carbon cycle processes to climatic drivers often remain uncertain. Presently, knowledge derived from experiments, complemented by a steadily evolving body of mechanistic theory, provides the main basis for developing such models. The strongly increasing availability of measurements may facilitate new ways of identifying suitable model structures using machine learning. Here, we explore the potential of gene expression programming (GEP) to derive relevant model formulations based solely on the signals present in data by automatically applying various mathematical transformations to potential predictors and repeatedly evolving the resulting model structures. In contrast to most other machine learning regression techniques, the GEP approach generates readable models that allow for prediction and possibly for interpretation. Our study is based on two cases: artificially generated data and real observations. Simulations based on artificial data show that GEP is successful in identifying prescribed functions, with the prediction capacity of the models comparable to four state-of-the-art machine learning methods (random forests, support vector machines, artificial neural networks, and kernel ridge regressions). Based on real observations we explore the responses of the different components of terrestrial respiration at an oak forest in south-eastern England. We find that the GEP-retrieved models are often better in prediction than some established respiration models. Based on their structures, we find previously unconsidered exponential dependencies of respiration on seasonal ecosystem carbon assimilation and water dynamics. We noticed that the GEP models are only partly portable across respiration components, the identification of a general terrestrial respiration model possibly prevented by equifinality issues. Overall, GEP is a promising

  13. Reverse engineering model structures for soil and ecosystem respiration: the potential of gene expression programming

    Directory of Open Access Journals (Sweden)

    I. Ilie


    Full Text Available Accurate model representation of land–atmosphere carbon fluxes is essential for climate projections. However, the exact responses of carbon cycle processes to climatic drivers often remain uncertain. Presently, knowledge derived from experiments, complemented by a steadily evolving body of mechanistic theory, provides the main basis for developing such models. The strongly increasing availability of measurements may facilitate new ways of identifying suitable model structures using machine learning. Here, we explore the potential of gene expression programming (GEP to derive relevant model formulations based solely on the signals present in data by automatically applying various mathematical transformations to potential predictors and repeatedly evolving the resulting model structures. In contrast to most other machine learning regression techniques, the GEP approach generates readable models that allow for prediction and possibly for interpretation. Our study is based on two cases: artificially generated data and real observations. Simulations based on artificial data show that GEP is successful in identifying prescribed functions, with the prediction capacity of the models comparable to four state-of-the-art machine learning methods (random forests, support vector machines, artificial neural networks, and kernel ridge regressions. Based on real observations we explore the responses of the different components of terrestrial respiration at an oak forest in south-eastern England. We find that the GEP-retrieved models are often better in prediction than some established respiration models. Based on their structures, we find previously unconsidered exponential dependencies of respiration on seasonal ecosystem carbon assimilation and water dynamics. We noticed that the GEP models are only partly portable across respiration components, the identification of a general terrestrial respiration model possibly prevented by equifinality issues. Overall

  14. Users' manual of the LOGIC1 program library for modeling of instrument and control system

    International Nuclear Information System (INIS)

    Watanabe, Norio; Oikawa, Tetsukuni; Abe, Kiyoharu; Chiba, Takemi.


    Accident analysis codes of nuclear power plants usually need models for instrument and control systems to simulate the actuation of active components such as Engineered Safety Features. As a standardized tool for the modeling of those instrument and control systems, a computer program library LOGIC1 has been developed. This library has two functions. One is to memorize the information of the modeled instrument and control systems, and the other is to execute logical operation and determine success/failure of the active components at each step of the transient analyzed. Using LOGIC1 program library, not only automatic control logics but also operator intervention and component degradation can be modeled. LOGIC1 is separate from the thermal-hydraulic analysis codes, which can provide the information on the instrument and control system function. The causal relation among component failures and accident sequences obtained from fault tree and event tree analysis respectively can be directly reflected on the transient analysis. Such a modeling is especially important in the analysis of the core meltdown accident sequence where a lot of operations of safety related systems should be considered. LOGIC1 is being applied to the THALES code system which is under development at JAERI for the analysis of core meltdown accidents. (author)

  15. A Conceptual Model of Professional Socialization within Student Affairs Graduate Preparation Programs

    Directory of Open Access Journals (Sweden)

    Rosemary J Perez


    Full Text Available Prior research exploring professional socialization in student affairs has been grounded in models that do not fully capture the distinct features of the field. Moreover, these studies have primarily focused on the transition into full-time work positions, and they have captured what happens to new professionals rather than how individuals understand their socialization experiences. With these gaps in mind, this conceptual paper presents a new model of professional socialization in student affairs graduate preparation programs that draws upon literature in the helping professions (i.e., nursing, social work, research on doctoral students and pre-tenure faculty, and the theoretical frameworks of sensemaking and self-authorship to highlight the dynamic relationship between individuals and organizations during the socialization process. Specifically, this model attempts to illuminate the cognitive mechanisms that undergird how individuals interpret their professional socialization. In doing so, the model proposes different ways individuals may make sense of their student affairs graduate training experiences based on (a whether or not they encounter discrepancies and (b their developmental capacity for self-authorship. The conceptual model presented here has implications for shaping graduate level coursework and fieldwork within student affairs preparation programs.

  16. Offering model for a virtual power plant based on stochastic programming

    DEFF Research Database (Denmark)

    PandŽić, Hrvoje; Morales González, Juan Miguel; Conejo, Antonio J.


    electricity in both the day-ahead and the balancing markets seeking to maximize its expected profit. Such model is mathematically rigorous, yet computationally efficient.The offering problem is cast as a two-stage stochastic mixed-integer linear programming model which maximizes the virtual power plant...... expected profit. The uncertain parameters, including the power output of the intermittent source and the market prices, are modeled via scenarios based upon historical data. The proposed model is applied to a realistic case study and conclusions are drawn. © 2013 Elsevier Ltd.......A virtual power plant aggregates various local production/consumption units that act in the market as a single entity. This paper considers a virtual power plant consisting of an intermittent source, a storage facility, and a dispatchable power plant. The virtual power plant sells and purchases...

  17. Using convex quadratic programming to model random media with Gaussian random fields

    International Nuclear Information System (INIS)

    Quintanilla, John A.; Jones, W. Max


    Excursion sets of Gaussian random fields (GRFs) have been frequently used in the literature to model two-phase random media with measurable phase autocorrelation functions. The goal of successful modeling is finding the optimal field autocorrelation function that best approximates the prescribed phase autocorrelation function. In this paper, we present a technique which uses convex quadratic programming to find the best admissible field autocorrelation function under a prescribed discretization. Unlike previous methods, this technique efficiently optimizes over all admissible field autocorrelation functions, instead of optimizing only over a predetermined parametrized family. The results from using this technique indicate that the GRF model is significantly more versatile than observed in previous studies. An application to modeling a base-catalyzed tetraethoxysilane aerogel system given small-angle neutron scattering data is also presented

  18. Forecasting energy consumption using a grey model improved by incorporating genetic programming

    International Nuclear Information System (INIS)

    Lee, Yi-Shian; Tong, Lee-Ing


    Energy consumption is an important economic index, which reflects the industrial development of a city or a country. Forecasting energy consumption by conventional statistical methods usually requires the making of assumptions such as the normal distribution of energy consumption data or on a large sample size. However, the data collected on energy consumption are often very few or non-normal. Since a grey forecasting model, based on grey theory, can be constructed for at least four data points or ambiguity data, it can be adopted to forecast energy consumption. In some cases, however, a grey forecasting model may yield large forecasting errors. To minimize such errors, this study develops an improved grey forecasting model, which combines residual modification with genetic programming sign estimation. Finally, a real case of Chinese energy consumption is considered to demonstrate the effectiveness of the proposed forecasting model.

  19. On the Reliability of Nonlinear Modeling using Enhanced Genetic Programming Techniques (United States)

    Winkler, S. M.; Affenzeller, M.; Wagner, S.

    The use of genetic programming (GP) in nonlinear system identification enables the automated search for mathematical models that are evolved by an evolutionary process using the principles of selection, crossover and mutation. Due to the stochastic element that is intrinsic to any evolutionary process, GP cannot guarantee the generation of similar or even equal models in each GP process execution; still, if there is a physical model underlying to the data that are analyzed, then GP is expected to find these structures and produce somehow similar results. In this paper we define a function for measuring the syntactic similarity of mathematical models represented as structure trees; using this similarity function we compare the results produced by GP techniques for a data set representing measurement data of a BMW Diesel engine.

  20. The SMC (Short Model Coil) Nb3Sn Program: FE Analysis with 3D Modeling

    CERN Document Server

    Kokkinos, C; Guinchard, M; Karppinen, M; Manil, P; Perez, J C; Regis, F


    The SMC (Short Model Coil) project aims at testing superconducting coils in racetrack configuration, wound with Nb3Sn cable. The degradation of the magnetic properties of the cable is studied by applying different levels of pre-stress. It is an essential step in the validation of procedures for the construction of superconducting magnets with high performance conductor. Two SMC assemblies have been completed and cold tested in the frame of a European collaboration between CEA (FR), CERN and STFC (UK), with the technical support from LBNL (US). The second assembly showed remarkable good quench results, reaching a peak field of 12.5T. This paper details the new 3D modeling method of the SMC, implemented using the ANSYS® Workbench environment. Advanced computer-aided-design (CAD) tools are combined with multi-physics Finite Element Analyses (FEA), in the same integrated graphic interface, forming a fully parametric model that enables simulation driven development of the SMC project. The magnetic and structural ...