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Sample records for program helps optimize

  1. Optimal Quadratic Programming Algorithms

    CERN Document Server

    Dostal, Zdenek

    2009-01-01

    Quadratic programming (QP) is one technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. This title presents various algorithms for solving large QP problems. It is suitable as an introductory text on quadratic programming for graduate students and researchers

  2. Stochastic optimization: beyond mathematical programming

    CERN Multimedia

    CERN. Geneva

    2015-01-01

    Stochastic optimization, among which bio-inspired algorithms, is gaining momentum in areas where more classical optimization algorithms fail to deliver satisfactory results, or simply cannot be directly applied. This presentation will introduce baseline stochastic optimization algorithms, and illustrate their efficiency in different domains, from continuous non-convex problems to combinatorial optimization problem, to problems for which a non-parametric formulation can help exploring unforeseen possible solution spaces.

  3. Industrial cogeneration optimization program

    Energy Technology Data Exchange (ETDEWEB)

    1980-01-01

    The purpose of this program was to identify up to 10 good near-term opportunities for cogeneration in 5 major energy-consuming industries which produce food, textiles, paper, chemicals, and refined petroleum; select, characterize, and optimize cogeneration systems for these identified opportunities to achieve maximum energy savings for minimum investment using currently available components of cogenerating systems; and to identify technical, institutional, and regulatory obstacles hindering the use of industrial cogeneration systems. The analysis methods used and results obtained are described. Plants with fuel demands from 100,000 Btu/h to 3 x 10/sup 6/ Btu/h were considered. It was concluded that the major impediments to industrial cogeneration are financial, e.g., high capital investment and high charges by electric utilities during short-term cogeneration facility outages. In the plants considered an average energy savings from cogeneration of 15 to 18% compared to separate generation of process steam and electric power was calculated. On a national basis for the 5 industries considered, this extrapolates to saving 1.3 to 1.6 quads per yr or between 630,000 to 750,000 bbl/d of oil. Properly applied, federal activity can do much to realize a substantial fraction of this potential by lowering the barriers to cogeneration and by stimulating wider implementation of this technology. (LCL)

  4. Do orientation programs help new graduates?

    Science.gov (United States)

    Strauss, Ester; Ovnat, Chaya; Gonen, Ayala; Lev-Ari, Lilac; Mizrahi, Ayala

    2016-01-01

    There is a need for effective orientation programs that are designed to prepare new graduate nurses in providing safe, competent, and effective patient care. However, little is known regarding the overall effectiveness of these programs for nursing graduates. To determine whether the transition of the graduates into their working place included a structured orientation program, and to assess the effectiveness of the program from the graduate's perspective. Cross-sectional survey design. Data were collected from four different institutions in Israel. A questionnaire was divided among 100 graduate nurses and had a response rate of 79%. A questionnaire was designed and included closed and open questions. It was evaluated for internal consistency by standardized Cronbach's alpha coefficients (Cronbach's alpha was between 0.91 and 0.96). Only 50.6% of the nurses in the sample reported having a structured orientation program. We found positive significant correlations between having a structured orientation program to adaptation of the graduate nurses to the ward, satisfaction of the graduates on the ward. Positive correlations were also found between support that the graduates received to their satisfaction on the ward. Retention on the ward was highly correlated with having a program, satisfaction, adaptation, and support. We found differences in acclimation indices by religiosity. Different delivery approaches of orientation programs may determine satisfaction of the graduates. A transition program which overlooks individual needs or an informal individual approach may lead to dissatisfaction. A program which is "tailored" to the graduate, by an assigned one-to-one appointment of a preceptor, may lead to satisfaction, which in turn may assure an ongoing supply of competent RNs who will remain in those settings. Copyright © 2015 Elsevier Ltd. All rights reserved.

  5. Optimal Implantable Cardioverter Defibrillator Programming.

    Science.gov (United States)

    Shah, Bindi K

    Optimal programming of implantable cardioverter defibrillators (ICDs) is essential to appropriately treat ventricular tachyarrhythmias and to avoid unnecessary and inappropriate shocks. There have been a series of large clinical trials evaluating tailored programming of ICDs. We reviewed the clinical trials evaluating ICD therapies and detection, and the consensus statement on ICD programming. In doing so, we found that prolonged ICD detection times, higher rate cutoffs, and antitachycardia pacing (ATP) programming decreases inappropriate and painful therapies in a primary prevention population. The use of supraventricular tachyarrhythmia discriminators can also decrease inappropriate shocks. Tailored ICD programming using the knowledge gained from recent ICD trials can decrease inappropriate and unnecessary ICD therapies and decrease mortality.

  6. Optimal decisions principles of programming

    CERN Document Server

    Lange, Oskar

    1971-01-01

    Optimal Decisions: Principles of Programming deals with all important problems related to programming.This book provides a general interpretation of the theory of programming based on the application of the Lagrange multipliers, followed by a presentation of the marginal and linear programming as special cases of this general theory. The praxeological interpretation of the method of Lagrange multipliers is also discussed.This text covers the Koopmans' model of transportation, geometric interpretation of the programming problem, and nature of activity analysis. The solution of t

  7. A 'Wild' Idea: Adventure Programs Help Seniors 'Age Successfully'.

    Science.gov (United States)

    Sugerman, Deborah A.

    1989-01-01

    Suggests techniques for camp directors to help older adults enjoy adventure camping. Discusses sociological and psychological changes accompanying aging. Emphasizes outdoor group activities as ways of helping older adults adjust to aging. Offers tips for adventure program development, staff development, and program evaluation. (TES)

  8. Deserts. Habitat Ecology Learning Program (HELP). Teachers' Manual.

    Science.gov (United States)

    Wildlife Conservation Society, Bronx, NY.

    The goal of this guide is to address a major environmental dilemma: worldwide habitat destruction and the disappearance of species. This guide is one of six that are included in the Habitat Ecology Learning Program (HELP), a holistic life science curriculum that involves students in an in-depth study of ecology. HELP includes six teaching guides…

  9. Temperate Forests. Habitat Ecology Learning Program (HELP). Teachers' Manual.

    Science.gov (United States)

    Wildlife Conservation Society, Bronx, NY.

    The goal of this guide is to address a major environmental dilemma: worldwide habitat destruction and the disappearance of species. This guide is one of six that are included in the Habitat Ecology Learning Program (HELP), a holistic life science curriculum that involves students in an in-depth study of ecology. HELP includes six teaching guides…

  10. Evaluation of a Psychoeducational Program to Help Adolescents Cope.

    Science.gov (United States)

    Hayes, Claire; Morgan, Mark

    2005-01-01

    Over 20% of a sample of 706 young adolescents identified themselves as experiencing difficulties and being in need of specific help in coping. A psychoeducational Program "Helping Adolescents Cope" was offered to 112 of those. This was adapted, with permission, from the "Coping with Stress Course," devised by Albano et al. (1997). Participants'…

  11. Editors' and Publishers' Handbook for Helping High School Journalism Programs.

    Science.gov (United States)

    Dodd, Julie E.

    Noting the benefits of high school journalism training, this guidebook familiarizes commercial newspaper editors and publishers with high school journalism programs and publications and helps them become more involved in such programs. Following a look at the positive influence of high school journalism courses on student performance and…

  12. Programming for Sparse Minimax Optimization

    DEFF Research Database (Denmark)

    Jonasson, K.; Madsen, Kaj

    1994-01-01

    We present an algorithm for nonlinear minimax optimization which is well suited for large and sparse problems. The method is based on trust regions and sequential linear programming. On each iteration, a linear minimax problem is solved for a basic step. If necessary, this is followed...... by the determination of a minimum norm corrective step based on a first-order Taylor approximation. No Hessian information needs to be stored. Global convergence is proved. This new method has been extensively tested and compared with other methods, including two well known codes for nonlinear programming....... The numerical tests indicate that in many cases the new method can find the solution in just as few iterations as methods based on approximate second-order information. The tests also show that for some problems the corrective steps give much faster convergence than for similar methods which do not employ...

  13. Conjugate gradient optimization programs for shuttle reentry

    Science.gov (United States)

    Powers, W. F.; Jacobson, R. A.; Leonard, D. A.

    1972-01-01

    Two computer programs for shuttle reentry trajectory optimization are listed and described. Both programs use the conjugate gradient method as the optimization procedure. The Phase 1 Program is developed in cartesian coordinates for a rotating spherical earth, and crossrange, downrange, maximum deceleration, total heating, and terminal speed, altitude, and flight path angle are included in the performance index. The programs make extensive use of subroutines so that they may be easily adapted to other atmospheric trajectory optimization problems.

  14. 1930s Program Can Help Schools in 1997.

    Science.gov (United States)

    McCarthy, Kevin J.

    A federal program, the Civilian Conservation Corps (CCC) employed young men during the Great Depression to help conserve natural resources by planting trees and building paths, roads, picnic areas, and parking lots in National Forests and National Parks. The men were supplied lodging at a camp, food, and one dollar a day. They could also take…

  15. Optimization Program for Drinking Water Systems

    Science.gov (United States)

    The Area-Wide Optimization Program (AWOP) provides tools and approaches for drinking water systems to meet water quality optimization goals and provide an increased – and sustainable – level of public health protection to their consumers.

  16. Invention Development Program Helps Nurture NCI at Frederick Technologies | Poster

    Science.gov (United States)

    The Invention Development Fund (IDF) was piloted by the Technology Transfer Center (TTC) in 2014 to facilitate the commercial development of NCI technologies. The IDF received a second round of funding from the NCI Office of the Director and the Office of Budget and Management to establish the Invention Development Program (IDP) for fiscal year 2016. The IDP is using these funds to help advance a second set of inventions.

  17. Graphic Interface for LCP2 Optimization Program

    DEFF Research Database (Denmark)

    Nicolae, Taropa Laurentiu; Gaunholt, Hans

    1998-01-01

    This report provides information about the software interface that is programmed for the Optimization Program LCP2. The first part is about the general description of the program followed by a guide for using the interface. The last chapters contain a discussion about problems or futute extension...

  18. Ant colony optimization and constraint programming

    CERN Document Server

    Solnon, Christine

    2013-01-01

    Ant colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint programming. The text is organized into three parts. The first part introduces constraint programming, which provides high level features to declaratively model problems by means of constraints. It describes the main existing approaches for solving constraint satisfaction problems, including complete tree search

  19. Integrating Pareto Optimization into Dynamic Programming

    Directory of Open Access Journals (Sweden)

    Thomas Gatter

    2016-01-01

    Full Text Available Pareto optimization combines independent objectives by computing the Pareto front of the search space, yielding a set of optima where none scores better on all objectives than any other. Recently, it was shown that Pareto optimization seamlessly integrates with algebraic dynamic programming: when scoring schemes A and B can correctly evaluate the search space via dynamic programming, then so can Pareto optimization with respect to A and B. However, the integration of Pareto optimization into dynamic programming opens a wide range of algorithmic alternatives, which we study in substantial detail in this article, using real-world applications in biosequence analysis, a field where dynamic programming is ubiquitous. Our results are two-fold: (1 We introduce the operation of a “Pareto algebra product” in the dynamic programming framework of Bellman’s GAP. Users of this framework can now ask for Pareto optimization with a single keystroke. Careful evaluation of the implementation alternatives by means of an extended Bellman’s GAP compiler demonstrates the dependence of the best implementation choice on the application at hand. (2 We extract from our experiments several pieces of advice to programmers who do not use a system such as Bellman’s GAP, but who choose to hand-craft their dynamic programming recurrences, incorporating Pareto optimization from scratch.

  20. Effects of a Peer Helping Training Program on Helping Skills and Self-Growth of Peer Helpers

    Science.gov (United States)

    Aladag, Mine; Tezer, Esin

    2009-01-01

    The purpose of this study was to develop a peer helping training program for university students in Turkey and to examine its effectiveness in improving the helping skills and self-growth of peer helpers. A pre-test, post-test, follow-up-test experimental design, involving a treatment and control group, was carried out with a total sample of 31…

  1. Optimization of biotechnological systems through geometric programming

    Directory of Open Access Journals (Sweden)

    Torres Nestor V

    2007-09-01

    Full Text Available Abstract Background In the past, tasks of model based yield optimization in metabolic engineering were either approached with stoichiometric models or with structured nonlinear models such as S-systems or linear-logarithmic representations. These models stand out among most others, because they allow the optimization task to be converted into a linear program, for which efficient solution methods are widely available. For pathway models not in one of these formats, an Indirect Optimization Method (IOM was developed where the original model is sequentially represented as an S-system model, optimized in this format with linear programming methods, reinterpreted in the initial model form, and further optimized as necessary. Results A new method is proposed for this task. We show here that the model format of a Generalized Mass Action (GMA system may be optimized very efficiently with techniques of geometric programming. We briefly review the basics of GMA systems and of geometric programming, demonstrate how the latter may be applied to the former, and illustrate the combined method with a didactic problem and two examples based on models of real systems. The first is a relatively small yet representative model of the anaerobic fermentation pathway in S. cerevisiae, while the second describes the dynamics of the tryptophan operon in E. coli. Both models have previously been used for benchmarking purposes, thus facilitating comparisons with the proposed new method. In these comparisons, the geometric programming method was found to be equal or better than the earlier methods in terms of successful identification of optima and efficiency. Conclusion GMA systems are of importance, because they contain stoichiometric, mass action and S-systems as special cases, along with many other models. Furthermore, it was previously shown that algebraic equivalence transformations of variables are sufficient to convert virtually any types of dynamical models into

  2. Grid-Optimization Program for Photovoltaic Cells

    Science.gov (United States)

    Daniel, R. E.; Lee, T. S.

    1986-01-01

    CELLOPT program developed to assist in designing grid pattern of current-conducting material on photovoltaic cell. Analyzes parasitic resistance losses and shadow loss associated with metallized grid pattern on both round and rectangular solar cells. Though performs sensitivity studies, used primarily to optimize grid design in terms of bus bar and grid lines by minimizing power loss. CELLOPT written in APL.

  3. RAOPS: Resource Allocation Optimization Program for Safegurards

    Energy Technology Data Exchange (ETDEWEB)

    Zardecki, A.; Markin, J.T.

    1994-03-01

    RAOPS--Resource Allocation Optimization Program for Safeguards is extended to a multiobjective return function having the detection probability and expected detection time as criteria. The expected detection time is included as a constraint, based on the well-known Avenhaus model of the optimum number of inventory periods. Examples of computation are provided.

  4. A quest for helpful feedback to programming coursework

    OpenAIRE

    Wong, Shun Ha Sylvia; Beaumont, Anthony J.

    2012-01-01

    The 2011 National Student Survey (NSS) revealed that 40% of full-time students in England did not think that the feedback on their work has been helpful, even though 66% of these students agreed that the feedback was detailed and 62% of them agreed that the feedback has been prompt. Detailed feedback that is not considered helpful by students means a waste of tutors' time while students continue to struggle with their learning. What do students consider as helpful feedback? What are the quali...

  5. Pareto optimization in algebraic dynamic programming.

    Science.gov (United States)

    Saule, Cédric; Giegerich, Robert

    2015-01-01

    Pareto optimization combines independent objectives by computing the Pareto front of its search space, defined as the set of all solutions for which no other candidate solution scores better under all objectives. This gives, in a precise sense, better information than an artificial amalgamation of different scores into a single objective, but is more costly to compute. Pareto optimization naturally occurs with genetic algorithms, albeit in a heuristic fashion. Non-heuristic Pareto optimization so far has been used only with a few applications in bioinformatics. We study exact Pareto optimization for two objectives in a dynamic programming framework. We define a binary Pareto product operator [Formula: see text] on arbitrary scoring schemes. Independent of a particular algorithm, we prove that for two scoring schemes A and B used in dynamic programming, the scoring scheme [Formula: see text] correctly performs Pareto optimization over the same search space. We study different implementations of the Pareto operator with respect to their asymptotic and empirical efficiency. Without artificial amalgamation of objectives, and with no heuristics involved, Pareto optimization is faster than computing the same number of answers separately for each objective. For RNA structure prediction under the minimum free energy versus the maximum expected accuracy model, we show that the empirical size of the Pareto front remains within reasonable bounds. Pareto optimization lends itself to the comparative investigation of the behavior of two alternative scoring schemes for the same purpose. For the above scoring schemes, we observe that the Pareto front can be seen as a composition of a few macrostates, each consisting of several microstates that differ in the same limited way. We also study the relationship between abstract shape analysis and the Pareto front, and find that they extract information of a different nature from the folding space and can be meaningfully combined.

  6. Do microfinance programs help families insure consumption against illness?

    Science.gov (United States)

    Gertler, Paul; Levine, David I; Moretti, Enrico

    2009-03-01

    Families in developing countries face enormous financial risks from major illness both in terms of the cost of medical care and the loss in income associated with reduced labor supply and productivity. We test whether access to microfinancial savings and lending institutions helps Indonesian families smooth consumption after declines in adult health. In general, results support the importance of these institutions in helping families to self-insure consumption against health shocks.

  7. Optimal power flow solution using evolutionary programming

    Energy Technology Data Exchange (ETDEWEB)

    Doraiswamy, T.; Ravikumar, R.; Ramya, S.C.; Vandhana, M.S.; Swarupini, S. [Rajalakshmi Engineering College, Chennai Tamil Nadu (India). Dept. of Electrical and Electronics Engineering

    2005-07-01

    Optimal power flow (OPF) is used to determine the optimal outputs of generators, bus voltages, and transformer tap settings in power systems. This paper provided details of an evolutionary programming (EP) algorithm for solving OPF. EP is a stochastic optimization method which analyzes the mechanics of evolution to produce optimal solutions by evolving a population of candidate solutions towards the global minimum through the use of a mutation operator and selection scheme. In this study, EP was used to determine the global optimum solution to the OPF for a range of constraints and objective functions as well as to develop non-convex generator cost curves. The proposed algorithm was applied to an IEEE 30-bus test system under different generator input-output curves. Two sets of generator cost curves were then used to illustrate the robustness of the technique. The first case considered all curves as quadratic. In the second case, a number of local optimal solutions for the dispatch problem were developed. The EP-based OPF algorithm method was then compared with results obtained from a genetic algorithm. Results showed that the EP-based algorithm was reliable even in nonlinear cases with value point loading. It was concluded that the proposed algorithm produced optimal results. 12 refs., 4 tabs., 2 figs.

  8. Optimization of the annual construction program solutions

    Directory of Open Access Journals (Sweden)

    Oleinik Pavel

    2017-01-01

    Full Text Available The article considers potentially possible optimization solutions in scheduling while forming the annual production programs of the construction complex organizations. The optimization instrument is represented as a two-component system. As a fundamentally new approach in the first block of the annual program solutions, the authors propose to use a scientifically grounded methodology for determining the scope of work permissible for the transfer to a subcontractor without risk of General Contractor’s management control losing over the construction site. For this purpose, a special indicator is introduced that characterizes the activity of the general construction organization - the coefficient of construction production management. In the second block, the principal methods for the formation of calendar plans for the fulfillment of the critical work effort by the leading stream are proposed, depending on the intensity characteristic.

  9. A Program Based on Maslow's Hierarchy Helps Students in Trouble

    Science.gov (United States)

    Yates, Mary Ruth; Saunders, Ron; Watkins, J. Foster

    1980-01-01

    The article discusses the development of an "alternative school" in an urban school system for students having trouble in the regular secondary setting. The program was based upon "Maslow's Hierarchy of Needs" and is described in detail. The initial assessment of the program produced very positive results.

  10. Using POGIL to Help Students Learn to Program

    Science.gov (United States)

    Hu, Helen H.; Shepherd, Tricia D.

    2013-01-01

    POGIL has been successfully implemented in a scientific computing course to teach science students how to program in Python. Following POGIL guidelines, the authors have developed guided inquiry activities that lead student teams to discover and understand programming concepts. With each iteration of the scientific computing course, the authors…

  11. Helping Students Test Programs That Have Graphical User Interfaces

    Directory of Open Access Journals (Sweden)

    Matthew Thornton

    2008-08-01

    Full Text Available Within computer science education, many educators are incorporating software testing activities into regular programming assignments. Tools like JUnit and its relatives make software testing tasks much easier, bringing them into the realm of even introductory students. At the same time, many introductory programming courses are now including graphical interfaces as part of student assignments to improve student interest and engagement. Unfortunately, writing software tests for programs that have significant graphical user interfaces is beyond the skills of typical students (and many educators. This paper presents initial work at combining educationally oriented and open-source tools to create an infrastructure for writing tests for Java programs that have graphical user interfaces. Critically, these tools are intended to be appropriate for introductory (CS1/CS2 student use, and to dovetail with current teaching approaches that incorporate software testing in programming assignments. We also include in our findings our proposed approach to evaluating our techniques.

  12. The impact of universal suicide-prevention programs on the help-seeking attitudes and behaviors of youths.

    Science.gov (United States)

    Klimes-Dougan, Bonnie; Klingbeil, David A; Meller, Sarah J

    2013-01-01

    While the ultimate goal of adolescent suicide-prevention efforts is to decrease the incidence of death by suicide, a critical intermediary goal is directing youths toward effective sources of assistance. To comprehensively review the universal prevention literature and examine the effects of universal prevention programs on student's attitudes and behaviors related to help-seeking. We systematically reviewed studies that assessed help-seeking outcomes including prevention efforts utilizing (1) psychoeducational curricula, (2) gatekeeper training, and (3) public service messaging directed at youths. Of the studies reviewed, 17 studies evaluated the help-seeking outcomes. These studies were identified through a range of sources (e.g., searching online databases, examining references of published articles on suicide prevention). The results of this review suggest that suicide-prevention programming has a limited impact on help-seeking behavior. Although there was some evidence that suicide-prevention programs had a positive impact on students' help-seeking attitudes and behaviors, there was also evidence of no effects or iatrogenic effects. Sex and risk status were moderators of program effects on students help-seeking. Caution is warranted when considering which suicidal prevention interventions best optimize the intended goals. The impact on adolescents' help-seeking behavior is a key concern for educators and mental-health professionals.

  13. Towards a Serious Game to Help Students Learn Computer Programming

    Directory of Open Access Journals (Sweden)

    Mathieu Muratet

    2009-01-01

    Full Text Available Video games are part of our culture like TV, movies, and books. We believe that this kind of software can be used to increase students' interest in computer science. Video games with other goals than entertainment, serious games, are present, today, in several fields such as education, government, health, defence, industry, civil security, and science. This paper presents a study around a serious game dedicated to strengthening programming skills. Real-Time Strategy, which is a popular game genre, seems to be the most suitable kind of game to support such a serious game. From programming teaching features to video game characteristics, we define a teaching organisation to experiment if a serious game can be adapted to learn programming.

  14. Exploration of automatic optimization for CUDA programming

    KAUST Repository

    Al-Mouhamed, Mayez

    2012-12-01

    Graphic processing Units (GPUs) are gaining ground in high-performance computing. CUDA (an extension to C) is most widely used parallel programming framework for general purpose GPU computations. However, the task of writing optimized CUDA program is complex even for experts. We present a method for restructuring loops into an optimized CUDA kernels based on a 3-step algorithm which are loop tiling, coalesced memory access, and resource optimization. We also establish the relationships between the influencing parameters and propose a method for finding possible tiling solutions with coalesced memory access that best meets the identified constraints. We also present a simplified algorithm for restructuring loops and rewrite them as an efficient CUDA Kernel. The execution model of synthesized kernel consists of uniformly distributing the kernel threads to keep all cores busy while transferring a tailored data locality which is accessed using coalesced pattern to amortize the long latency of the secondary memory. In the evaluation, we implement some simple applications using the proposed restructuring strategy and evaluate the performance in terms of execution time and GPU throughput. © 2012 IEEE.

  15. Do Counseling Master's Program Websites Help? Prospective Students' Ratings

    Science.gov (United States)

    Range, Lillian M.; Salgado, Roy; White, Carolyn

    2014-01-01

    To see how students understand information about counseling programs from school websites, in January and February, 2012, 43 undergraduates (most women) at a co-educational religious college in the southeastern U. S. obtained website information about accreditation, tuition, and number of hours and faculty on 14 schools in Louisiana. They also…

  16. A Program Based on Maslow's Hierarchy Helps Students in Trouble.

    Science.gov (United States)

    Yates, Mary Ruth; And Others

    1980-01-01

    Describes the program at Alabama's Huntsville Alternative School, where severe behavioral problems are dealt with by promoting positive self-concepts in students through acceptance, trust, warmth, concern, firmness, consistency, humor, and the meeting of human needs as identified by Abraham Maslow. (Author/PGD)

  17. Mental illness stigma, help seeking, and public health programs.

    Science.gov (United States)

    Henderson, Claire; Evans-Lacko, Sara; Thornicroft, Graham

    2013-05-01

    Globally, more than 70% of people with mental illness receive no treatment from health care staff. Evidence suggests that factors increasing the likelihood of treatment avoidance or delay before presenting for care include (1) lack of knowledge to identify features of mental illnesses, (2) ignorance about how to access treatment, (3) prejudice against people who have mental illness, and (4) expectation of discrimination against people diagnosed with mental illness. In this article, we reviewed the evidence on whether large-scale anti-stigma campaigns could lead to increased levels of help seeking.

  18. Working toward Equity: Cribs to Classrooms. Program Helps Teen Moms Cope.

    Science.gov (United States)

    Kronstadt, Jonathan

    1987-01-01

    Describes a Maryland program for teenage mothers who want to finish school. The three goals of the program are to (1) help the mother get her diploma, (2) provide entry-level vocational skills, and (3) provide child care. (CH)

  19. Mentoring For Success: REU Program That Help Every Student Succeed

    Science.gov (United States)

    Bingham, B. L.

    2015-12-01

    NSF REU site programs provide remarkable opportunities for students to experience first-hand the challenges and rewards of science research. Because REU positions are relatively scarce, applicant pools are large, and it is easy to fill available positions with students who already have well-developed research skills and proven abilities to excel academically. Advisors bringing REU participants into their labs may see this as the ideal situation. However, using experience and academic record as the primary selection criteria ignores an enormous pool of talented students who have simply never been in a position to show, or discover themselves, what they can do. Reaching this audience requires a shift in strategy: recruiting in ways that reach students who are unaware of REU opportunities; adjusting our selection criteria to look beyond academics and experience, putting as much emphasis on future potential as we do on past performance; finding, or developing, mentors who share this broader vision of working with students; and providing an institutional culture that ensure every student has the kind of multi-node support network that maximizes his or her success. REU programs should be primary tools to developing a deeper and broader science workforce. Achieving that goal will require innovative approaches to finding, recruiting, and mentoring participants.

  20. CD4+ T Cell Help Confers a Cytotoxic T Cell Effector Program Including Coinhibitory Receptor Downregulation and Increased Tissue Invasiveness.

    Science.gov (United States)

    Ahrends, Tomasz; Spanjaard, Aldo; Pilzecker, Bas; Bąbała, Nikolina; Bovens, Astrid; Xiao, Yanling; Jacobs, Heinz; Borst, Jannie

    2017-11-21

    CD4+ T cells optimize the cytotoxic T cell (CTL) response in magnitude and quality, by unknown molecular mechanisms. We here present the transcriptomic changes in CTLs resulting from CD4+ T cell help after anti-cancer vaccination or virus infection. The gene expression signatures revealed that CD4+ T cell help during priming optimized CTLs in expression of cytotoxic effector molecules and many other functions that ensured efficacy of CTLs throughout their life cycle. Key features included downregulation of PD-1 and other coinhibitory receptors that impede CTL activity, and increased motility and migration capacities. "Helped" CTLs acquired chemokine receptors that helped them reach their tumor target tissue and metalloprotease activity that enabled them to invade into tumor tissue. A very large part of the "help" program was instilled in CD8+ T cells via CD27 costimulation. The help program thus enhances specific CTL effector functions in response to vaccination or a virus infection. Copyright © 2017 Elsevier Inc. All rights reserved.

  1. 77 FR 71609 - Self-Help Homeownership Opportunity Program (SHOP) Grant Monitoring

    Science.gov (United States)

    2012-12-03

    ... URBAN DEVELOPMENT Self-Help Homeownership Opportunity Program (SHOP) Grant Monitoring AGENCY: Office of... following information: Title of Proposed: Self-Help Homeownership Opportunity Program (SHOP) Grant Monitoring. OMB Approval Number: 2506-0157. Form Numbers: HUD-96011, HUD-2990, HUD-2880, HUD-424-CB, HUD...

  2. Successful implementation of Helping Babies Survive and Helping Mothers Survive programs-An Utstein formula for newborn and maternal survival.

    Directory of Open Access Journals (Sweden)

    Hege L Ersdal

    Full Text Available Globally, the burden of deaths and illness is still unacceptably high at the day of birth. Annually, approximately 300.000 women die related to childbirth, 2.7 million babies die within their first month of life, and 2.6 million babies are stillborn. Many of these fatalities could be avoided by basic, but prompt care, if birth attendants around the world had the necessary skills and competencies to manage life-threatening complications around the time of birth. Thus, the innovative Helping Babies Survive (HBS and Helping Mothers Survive (HMS programs emerged to meet the need for more practical, low-cost, and low-tech simulation-based training. This paper provides users of HBS and HMS programs a 10-point list of key implementation steps to create sustained impact, leading to increased survival of mothers and babies. The list evolved through an Utstein consensus process, involving a broad spectrum of international experts within the field, and can be used as a means to guide processes in low-resourced countries. Successful implementation of HBS and HMS training programs require country-led commitment, readiness, and follow-up to create local accountability and ownership. Each country has to identify its own gaps and define realistic service delivery standards and patient outcome goals depending on available financial resources for dissemination and sustainment.

  3. Dynamic Programming Strategies on the Decision Tree Hidden behind the Optimizing Problems

    OpenAIRE

    Zoltan KATAI

    2007-01-01

    The aim of the paper is to present the characteristics of certain dynamic programming strategies on the decision tree hidden behind the optimizing problems and thus to offer such a clear tool for their study and classification which can help in the comprehension of the essence of this programming technique.

  4. Mathematical programming methods for large-scale topology optimization problems

    DEFF Research Database (Denmark)

    Rojas Labanda, Susana

    This thesis investigates new optimization methods for structural topology optimization problems. The aim of topology optimization is finding the optimal design of a structure. The physical problem is modelled as a nonlinear optimization problem. This powerful tool was initially developed for mech......This thesis investigates new optimization methods for structural topology optimization problems. The aim of topology optimization is finding the optimal design of a structure. The physical problem is modelled as a nonlinear optimization problem. This powerful tool was initially developed...... for the classical minimum compliance problem. Two of the state-of-the-art optimization algorithms are investigated and implemented for this structural topology optimization problem. A Sequential Quadratic Programming (TopSQP) and an interior point method (TopIP) are developed exploiting the specific mathematical...

  5. Rain Forests. Habitat Ecology Learning Program (H.E.L.P.), Teachers' Manual.

    Science.gov (United States)

    Wildlife Conservation Society, Bronx, NY.

    The goal of this guide is to address a major environmental dilemma: worldwide habitat destruction and the disappearance of species. This guide is one of six that are included in the Habitat Ecology Learning Program (HELP), a holistic life science curriculum that involves students in an in-depth study of ecology. HELP includes six teaching guides…

  6. Optimizing a general optimal replacement model by fractional programming techniques

    NARCIS (Netherlands)

    A.I. Barros (Ana); R. Dekker (Rommert); J.B.G. Frenk (Hans); S. van Weeren

    1997-01-01

    textabstractIn this paper we adapt the well-known parametric approach from fractional programming to solve a class of fractional programs with a noncompact feasible region. Such fractional problems belong to an important class of single component preventive maintenance models. Moreover, for a

  7. Young People and the Learning Partnerships Program: Shifting Negative Attitudes to Help-Seeking

    Science.gov (United States)

    Cahill, Helen; Coffey, Julia

    2013-01-01

    This article discusses research which explored the impact of the Learning Partnerships program on young people's attitudes to help-seeking. The Learning Partnerships program brings classes of high school students into universities to teach pre-service teachers and doctors how to communicate effectively with adolescents about sensitive issues such…

  8. Empowering Adult Learners. NIF Literacy Program Helps ABE Accomplish Human Development Mission.

    Science.gov (United States)

    Hurley, Mary E.

    1991-01-01

    The National Issues Forum's Literacy Program uses study circles and group discussion to promote empowerment and enhance adult literacy through civic education. The program has helped the Westonka (Minnesota) Adult Basic Education project accomplish its mission and has expanded the staff's view of adult learning. (SK)

  9. A Collaborative School-Based Mental Health Program that Helps Students Succeed

    Science.gov (United States)

    Newgent, Rebecca A.; Featherston, Larry W.; Stegman, Charles E.; Lee, Sang Min

    2009-01-01

    The School-Based Mental Health Program's goals are to identify at-risk children, reduce ineffective functioning of at-risk children, provide social service interventions, increase effective parenting skills, help families access community resources, and support mental health education. The program was designed to develop a comprehensive,…

  10. Effects of the Helping Early Literacy with Practice Strategies (HELPS) on Reading Fluency with Secondary Level Students Attending an Alternative Education Program

    Science.gov (United States)

    Breault, Holly

    2017-01-01

    The purpose of this study was to investigate the effect of the HELPS Program on the reading fluency skills of secondary level students attending an alternative education program using single case design methodology. Participants in this study included one 8th grade student and two 9th grade students attending an alternative education program in…

  11. Conversion Rate Optimization : Visual Neuro Programming Principles

    OpenAIRE

    Berezhnaya, Anastasia

    2016-01-01

    The influence of the world wide web has already spread in every business. Consequently, it has become crucial to develop strong online presence and offer qualified user experience for website visitors. Website optimization undeniably has proved its importance in the recent decade. This research was conducted in order to study the practical application and structure of the stages of the CRO (Conversion Rate Optimization) framework that focuses on the most representative website metric – c...

  12. 76 FR 15991 - HUD's Fiscal Year (FY) 2010 NOFA for the Self-Help Homeownership Opportunity Program (SHOP...

    Science.gov (United States)

    2011-03-22

    ... URBAN DEVELOPMENT HUD's Fiscal Year (FY) 2010 NOFA for the Self-Help Homeownership Opportunity Program... technical correction to the FY 2010 NOFA for the Self-Help homeownership Opportunity Program (SHOP). This... the deadline date for the Self-Help homeownership Opportunity Program (SHOP) NOFA until April 18, 2011...

  13. Numerical methods of mathematical optimization with Algol and Fortran programs

    CERN Document Server

    Künzi, Hans P; Zehnder, C A; Rheinboldt, Werner

    1971-01-01

    Numerical Methods of Mathematical Optimization: With ALGOL and FORTRAN Programs reviews the theory and the practical application of the numerical methods of mathematical optimization. An ALGOL and a FORTRAN program was developed for each one of the algorithms described in the theoretical section. This should result in easy access to the application of the different optimization methods.Comprised of four chapters, this volume begins with a discussion on the theory of linear and nonlinear optimization, with the main stress on an easily understood, mathematically precise presentation. In addition

  14. Diabetes Awareness of Low-Income Middle School Students Participating in the Help a Friend, Help Yourself Youth Diabetes Awareness Education Program

    Science.gov (United States)

    Wroten, Kathryn; Reames, Elizabeth S.; Tuuri, Georgianna

    2012-01-01

    The study reported here investigated the effectiveness of the LSU AgCenter Help a Friend, Help Yourself youth diabetes education curriculum to increase knowledge and awareness of diabetes and its symptoms in low-income middle school students participating in the Boys and Girls Club after-school program. The curriculum includes four lessons with…

  15. "Helping Communities To Help Themselves." Twenty 1989 Exemplary Prevention Programs for Preventing Alcohol and Other Drug Abuse. Project Summaries.

    Science.gov (United States)

    National Association of State Alcohol and Drug Abuse Directors, Inc.

    Twenty exemplary substance abuse prevention programs are presented in this document. These programs are included: (1) Tuba City, Arizona, Fetal Alcohol Syndrome (FAS) Prevention Program; (2) Chemical Addiction Course, University of Arkansas; (3) "Teens Are Concerned" of Arkansas; (4) "Dare to be You of Colorado"; (5) Winyan…

  16. Help Increase the Peace, A Youth-Focused Program in Peace Education

    Science.gov (United States)

    Morrison, Mary Lee; Austad, Carol Shaw; Cota, Kate

    2011-01-01

    This study investigated specific attitudes and beliefs, related to the concepts of peace education, of participants in an "Introductory, basic help increase the peace program" (HIPP) workshop. Pre- and post-workshop ratings showed significant differences on two important attitudinal variables: first, the importance of being familiar with the…

  17. OPTIMAL PRICING OF EXECUTIVE MBA PROGRAMS

    OpenAIRE

    Francis Petit

    2010-01-01

    The purpose of this research is to determine the most strategic tuition pricing strategy that can be utilized by senior management in Business Schools when pricing Executive MBA Programs. To determine this information, the state of the Executive MBA market and three pricing strategies were reviewed in detail and an analysis ensued on the viability and applicability of each strategy for pricing Executive MBA Programs. The main findings of this study indicate that the Value Based pricing model ...

  18. Wind Atlas Analysis and Application Program: WAsP 11 Help Facility

    DEFF Research Database (Denmark)

    2014-01-01

    The Wind Atlas Analysis and Application Program (WAsP) is a PC-program for horizontal and vertical extrapolation of wind climates. The program contains a complete set of models to calculate the effects on the wind of sheltering obstacles, surface roughness changes and terrain height variations...... of specific wind turbines and wind farms. The WAsP Help Facility includes a Quick Start Tutorial, a User's Guide and a Technical Reference. It further includes descriptions of the Observed Wind Climate Wizard, the WAsP Climate Analyst, the WAsP Map Editor tool, the WAsP Turbine Editor tool, the Air Density...

  19. Does programmed CTL proliferation optimize virus control?

    DEFF Research Database (Denmark)

    Wodarz, Dominik; Thomsen, Allan Randrup

    2005-01-01

    CD8 T-cell or cytotoxic T-lymphocyte responses develop through an antigen-independent proliferation and differentiation program. This is in contrast to the previous thinking, which was that continuous antigenic stimulation was required. This Opinion discusses why nature has chosen the proliferati...

  20. 75 FR 62849 - Announcement of Funding Awards for the Self-Help Homeownership Opportunity Program (SHOP) for...

    Science.gov (United States)

    2010-10-13

    ... URBAN DEVELOPMENT Announcement of Funding Awards for the Self-Help Homeownership Opportunity Program... Funding Availability (NOFA) for the Self-Help Homeownership Opportunity Program (SHOP). This announcement... nonprofit organizations and consortia that have experience in providing self-help housing. Grant funds are...

  1. 76 FR 67759 - Announcement of Funding Awards for the Self-Help Homeownership Opportunity Program (SHOP) for...

    Science.gov (United States)

    2011-11-02

    ... URBAN DEVELOPMENT Announcement of Funding Awards for the Self-Help Homeownership Opportunity Program... Funding Availability (NOFA) for the Self-Help Homeownership Opportunity Program (SHOP). This announcement... organizations and consortia that have experience in providing self-help housing. Grant funds are used to...

  2. 77 FR 40892 - Announcement of Funding Awards for the Self-Help Homeownership Opportunity Program (SHOP) for...

    Science.gov (United States)

    2012-07-11

    ... URBAN DEVELOPMENT Announcement of Funding Awards for the Self-Help Homeownership Opportunity Program... Funding Availability (NOFA) for the Self-Help Homeownership Opportunity Program (SHOP). This announcement... national and regional nonprofit organizations and consortia to undertake self-help homeownership housing...

  3. 76 FR 48876 - Announcement of Funding Awards for the Self-Help Homeownership Opportunity Program (SHOP) for...

    Science.gov (United States)

    2011-08-09

    ... URBAN DEVELOPMENT Announcement of Funding Awards for the Self-Help Homeownership Opportunity Program... Funding Availability (NOFA) for the Self-Help Homeownership Opportunity Program (SHOP). This announcement... nonprofit organizations and consortia that have experience in providing self-help housing. Grant funds are...

  4. Brunei's teacher education programs: insights into students' coping and help-seeking strategies to challenges.

    Science.gov (United States)

    Mundia, Lawrence; Shahrill, Masitah; Jaidin, Jainatul Halida; Jawawi, Rosmawijah; Mahadi, Mar Aswandi

    2016-01-01

    Brunei started implementing its two main reformed teacher education programs, MTeach and MEd, in 2009. The reasons for these innovations included upgrading the standard of teacher training, increasing teaching effectiveness, and improving the quality of education in the country. The purpose of this study was to determine how student teachers coped with and sought help on the challenging programs. Using an online survey design, 76 randomly selected recent graduate teachers responded appropriately to questionnaires administered to them by email. The obtained quantitative research information included demographic, coping, and help-seeking data, all analyzed by SPSS Version 22. Participants endorsed both the productive and nonproductive coping strategies. In addition, they depended more on peers, teachers and internet sources for help. Four major findings were obtained. First, task-oriented coping was the most important and significant predictor of success on the MTeach and MEd programs. Second, females had a higher likelihood of success compared to males (OR = 22.760, 95 % CI for OR = 12.848-40.320). Third, students who consulted relevant internet resources had higher odds for succeeding compared to those who did not (OR = 2.237, 95 % CI 1.196-4.183). Fourth, less-able students who collaboratively worked with the more-able peers were nearly two times more likely to perform better than those who did not (OR = 1.982, 95 % CI 1.082-3.630). Coping and help-seeking were positively and significantly related to academic achievement on the two Brunei main teacher education programs. Evidence from the present study suggested that vulnerable and at-risk trainee teachers needed appropriate interventions (educational, counseling and psychotherapy) related to effective use of task-oriented coping and seeking help via cooperative learning, internet sources, and teacher consultations,. Further research with interview probes was recommended to gain additional information

  5. 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.

  6. Mathematical Programming Approaches for Optimal University Timetabling

    DEFF Research Database (Denmark)

    Bagger, Niels-Christian Fink

    Every semester universities are faced with the challenge of creating timetables for the courses. Creating these timetables is an important task to ensure that students can attend the courses they need for their education. Creating timetables that are feasible can be challenging, and when different...... preferences are taken into account, the problems become even more challenging. Therefore, automating the processes of generating these timetables is a great help for the planners and the universities. Scheduling and timetabling has been studied before in the literature, and two international conferences...... are dedicated to this research field. This thesis considers a University Timetabling problem, more specifically the Curriculumbased Course Timetabling (CTT) problem. The objective of the CTT problem is to assign a set of lectures to time slots and rooms. The literature has focused mainly on heuristic...

  7. Usability and Utility of a Computerized Cognitive-Behavioral Self-Help Program for Public Speaking Anxiety

    Science.gov (United States)

    Anderson, Page; Zimand, Elana; Schmertz, Stefan K.; Ferrer, Mirtha

    2007-01-01

    This study describes the use of a cognitive-behavioral computer-administered self-help program with minimal therapist contact for public speaking anxiety. Participants (N = 10) with social phobia, as measured by a structured clinical interview, completed the self-help program in an open clinical trial. The program was delivered via a CD-ROM during…

  8. Creating a comprehensive customer service program to help convey critical and acute results of radiology studies.

    Science.gov (United States)

    Towbin, Alexander J; Hall, Seth; Moskovitz, Jay; Johnson, Neil D; Donnelly, Lane F

    2011-01-01

    Communication of acute or critical results between the radiology department and referring clinicians has been a deficiency of many radiology departments. The failure to perform or document these communications can lead to poor patient care, patient safety issues, medical-legal issues, and complaints from referring clinicians. To mitigate these factors, a communication and documentation tool was created and incorporated into our departmental customer service program. This article will describe the implementation of a comprehensive customer service program in a hospital-based radiology department. A comprehensive customer service program was created in the radiology department. Customer service representatives were hired to answer the telephone calls to the radiology reading rooms and to help convey radiology results. The radiologists, referring clinicians, and customer service representatives were then linked via a novel workflow management system. This workflow management system provided tools to help facilitate the communication needs of each group. The number of studies with results conveyed was recorded from the implementation of the workflow management system. Between the implementation of the workflow management system on August 1, 2005, and June 1, 2009, 116,844 radiology results were conveyed to the referring clinicians and documented in the system. This accounts for more than 14% of the 828,516 radiology cases performed in this time frame. We have been successful in creating a comprehensive customer service program to convey and document communication of radiology results. This program has been widely used by the ordering clinicians as well as radiologists since its inception.

  9. Optimal codon randomization via mathematical programming.

    Science.gov (United States)

    Nov, Yuval; Segev, Danny

    2013-10-21

    Codon randomization via degenerate oligonucleotides is a widely used approach for generating protein libraries. We use integer programming methodology to model and solve the problem of computing the minimal mixture of oligonucleotides required to induce an arbitrary target probability over the 20 standard amino acids. We consider both randomization via conventional degenerate oligonucleotides, which incorporate at each position of the randomized codon certain nucleotides in equal probabilities, and randomization via spiked oligonucleotides, which admit arbitrary nucleotide distribution at each of the codon's positions. Existing methods for computing such mixtures rely on various heuristics. © 2013 Elsevier Ltd. All rights reserved.

  10. A Neurodynamic Optimization Approach to Bilevel Quadratic Programming.

    Science.gov (United States)

    Qin, Sitian; Le, Xinyi; Wang, Jun

    2016-08-19

    This paper presents a neurodynamic optimization approach to bilevel quadratic programming (BQP). Based on the Karush-Kuhn-Tucker (KKT) theorem, the BQP problem is reduced to a one-level mathematical program subject to complementarity constraints (MPCC). It is proved that the global solution of the MPCC is the minimal one of the optimal solutions to multiple convex optimization subproblems. A recurrent neural network is developed for solving these convex optimization subproblems. From any initial state, the state of the proposed neural network is convergent to an equilibrium point of the neural network, which is just the optimal solution of the convex optimization subproblem. Compared with existing recurrent neural networks for BQP, the proposed neural network is guaranteed for delivering the exact optimal solutions to any convex BQP problems. Moreover, it is proved that the proposed neural network for bilevel linear programming is convergent to an equilibrium point in finite time. Finally, three numerical examples are elaborated to substantiate the efficacy of the proposed approach.

  11. Mechanistic modeling of cyclic voltammetry: A helpful tool for understanding biosensor principles and supporting design optimization

    DEFF Research Database (Denmark)

    Semenova, Daria; Zubov, Alexandr; Silina, Yuliya E.

    2018-01-01

    Abstract Design, optimization and integration of biosensors hold a great potential for the development of cost-effective screening and point-of-care technologies. However, significant progress in this field can still be obtained on condition that sufficiently accurate mathematical models will be ......Abstract Design, optimization and integration of biosensors hold a great potential for the development of cost-effective screening and point-of-care technologies. However, significant progress in this field can still be obtained on condition that sufficiently accurate mathematical models......, oxidized/reduced forms of the mediator - Prussian Blue/Prussian White). Furthermore, the developed model was applied under various operating conditions as a crucial tool for biosensor design optimization. The obtained qualitative and quantitative dependencies towards amperometric biosensors design...

  12. How can schools help youth increase physical activity? An economic analysis comparing school-based programs.

    Science.gov (United States)

    Babey, Susan H; Wu, Shinyi; Cohen, Deborah

    2014-12-01

    For optimal health, physical activity should be an integral and routine part of daily life. Youth spend a significant amount of time at school yet rarely achieve the recommended 60 min of moderate and vigorous physical activity in physical education (PE) classes or recess. This study assessed the following types of school-based opportunities to improve physical activity for youth: after-school programs, before-school programs, PE classes, extended-day PE, and short physical activity breaks during the school day. An economic analysis conducted in 2013 compared school-based approaches to increasing physical activity. Analysis factors included costs, reach, effects on physical activity gains, cost-effectiveness, and other potentially augmenting benefits. Two programs were significantly superior in terms of reach and cost per student: (1) extending the school day with mandatory PE participation and (2) offering short (10-minute) physical activity breaks during regular classroom hours. After-school program costs per student are high and the programs have a smaller reach, but they offer benefits (such as childcare) that may justify their higher costs. Before-school programs did not appear feasible. Incorporating short physical activity breaks into the existing school day would be a cost-effective way to increase school-based activity. This type of program is inexpensive and has broad reach. Inserting activity breaks throughout the day is appropriate, especially when youth are otherwise largely sedentary. Copyright © 2014 Elsevier Inc. All rights reserved.

  13. A comparison of online versus workbook delivery of a self-help positive parenting program.

    Science.gov (United States)

    Sanders, Matthew R; Dittman, Cassandra K; Farruggia, Susan P; Keown, Louise J

    2014-06-01

    A noninferiority randomized trial design compared the efficacy of two self-help variants of the Triple P-Positive Parenting Program: an online version and a self-help workbook. We randomly assigned families of 193 children displaying early onset disruptive behavior difficulties to the online (N = 97) or workbook (N = 96) interventions. Parents completed questionnaire measures of child behavior, parenting, child maltreatment risk, personal adjustment and relationship quality at pre- and post-intervention and again at 6-month follow up. The short-term intervention effects of the Triple P Online program were not inferior to the workbook on the primary outcomes of disruptive child behavior and dysfunctional parenting as reported by both mothers and fathers. Both interventions were associated with significant and clinically meaningful declines from pre- to post-intervention in levels of disruptive child behavior, dysfunctional parenting styles, risk of child maltreatment, and inter-parental conflict on both mother and father report measures. Intervention effects were largely maintained at 6-month follow up, thus supporting the use of self-help parenting programs within a comprehensive population-based system of parenting support to reduce child maltreatment and behavioral problems in children.

  14. Effectiveness of a Self Help Cognitive Behavioural Treatment Program for Problem Gamblers: A Randomised Controlled Trial.

    Science.gov (United States)

    Oei, T P S; Raylu, N; Lai, W W

    2017-10-14

    The study aimed to strengthen the scarce literature on self-help treatments for Problem Gambling (PG) by comparing the effectiveness of a Self-Help Cognitive Behavioral Treatment (SHCBT) program (n = 23) with a 6-week Waitlist condition (n = 32) in problem gamblers. Participants were community volunteers with gambling problems and were randomly allocated to the Waitlist and treatment conditions. Results showed significant improvements at post-treatment in gambling behaviors including frequency of gambling, average amount gambled per day and PG symptoms as well as a number of gambling correlates including psychological states (e.g., depression, anxiety and stress), gambling cognitions, gambling urges, gambling related self-efficacy, satisfaction with life, and quality of life among those who completed the SHCBT program, when compared with the waitlist condition. The effect size (partial η 2) ranged from .25 to .57 for all assessed outcomes that showed significant improvement from pre- to post-treatment. It was concluded that a self-help CBT program can be beneficial for treating community problem gamblers.

  15. A summer prematriculation program to help students succeed in medical school.

    Science.gov (United States)

    Schneid, Stephen D; Apperson, April; Laiken, Nora; Mandel, Jess; Kelly, Carolyn J; Brandl, Katharina

    2018-01-16

    Medical schools with a diverse student body face the challenge of ensuring that all students succeed academically. Many medical schools have implemented prematriculation programs to prepare students from diverse backgrounds; however, evidence on their impact is largely lacking. In this study, we analyzed participants' demographics as well as the impact of the prematriculation program on Year 1 performance. Predictive validity of the program was assessed and compared to other traditional predictors, including grade point average (GPA) and Medical College Admission Test (MCAT) scores and subscores. Linear mixed effect models determined the impact of the prematriculation program, and linear regression analysis assessed the predictive value of the overall score in the prematriculation program and other traditional predictors. Demographics of students participating in the prematriculation program from 2013 to 2015 (n = 75) revealed a significantly higher prevalence of academically disadvantaged students including older students, students with lower GPA and MCAT scores and students of racial and ethnic populations that are underrepresented in medicine, compared to non-participants (n = 293). Participants performed significantly better in Year 1 courses that were covered in the prematriculation program compared to courses that were not covered. The overall performance in the prematriculation program correlated significantly with Year 1 performance and was found to be a strong predictor for Year 1 performance. This study suggests that a prematriculation program can help students to succeed in the first year of medical school. The results have implications for medical schools seeking to implement or evaluate the effectiveness of their prematriculation program.

  16. Generic Optimization Program User Manual Version 3.0.0

    Energy Technology Data Exchange (ETDEWEB)

    Wetter, Michael

    2009-05-11

    GenOpt is an optimization program for the minimization of a cost function that is evaluated by an external simulation program. It has been developed for optimization problems where the cost function is computationally expensive and its derivatives are not available or may not even exist. GenOpt can be coupled to any simulation program that reads its input from text files and writes its output to text files. The independent variables can be continuous variables (possibly with lower and upper bounds), discrete variables, or both, continuous and discrete variables. Constraints on dependent variables can be implemented using penalty or barrier functions. GenOpt uses parallel computing to evaluate the simulations. GenOpt has a library with local and global multi-dimensional and one-dimensional optimization algorithms, and algorithms for doing parametric runs. An algorithm interface allows adding new minimization algorithms without knowing the details of the program structure. GenOpt is written in Java so that it is platform independent. The platform independence and the general interface make GenOpt applicable to a wide range of optimization problems. GenOpt has not been designed for linear programming problems, quadratic programming problems, and problems where the gradient of the cost function is available. For such problems, as well as for other problems, special tailored software exists that is more efficient.

  17. Penempatan Optimal Phasor Measurement Unit (PMU) dengan Integer Programming

    OpenAIRE

    Yunan Helmy Amrulloh

    2013-01-01

    Phasor Measurement Unit (PMU) merupakan peralatan yang mampu memberikan pengukuran fasor tegangan dan arus secara real-time. PMU dapat digunakan untuk monitoring, proteksi dan kontrol pada sistem tenaga listrik. Tugas akhir ini membahas penempatan PMU secara optimal berdasarkan topologi jaringan sehingga sistem tenaga listrik  dapat diobservasi. Penempatan optimal PMU dirumuskan sebagai masalah Binary Integer Programming (BIP) yang akan memberikan variabel dengan pilihan nilai (0,1) yang menu...

  18. Robust Sensitivity Analysis of the Optimal Value of Linear Programming

    OpenAIRE

    Xu, Guanglin; Burer, Samuel

    2015-01-01

    We propose a framework for sensitivity analysis of linear programs (LPs) in minimization form, allowing for simultaneous perturbations in the objective coefficients and right-hand sides, where the perturbations are modeled in a compact, convex uncertainty set. This framework unifies and extends multiple approaches for LP sensitivity analysis in the literature and has close ties to worst-case linear optimization and two-stage adaptive optimization. We define the minimum (best-case) and maximum...

  19. Post optimization paradigm in maximum 3-satisfiability logic programming

    Science.gov (United States)

    Mansor, Mohd. Asyraf; Sathasivam, Saratha; Kasihmuddin, Mohd Shareduwan Mohd

    2017-08-01

    Maximum 3-Satisfiability (MAX-3SAT) is a counterpart of the Boolean satisfiability problem that can be treated as a constraint optimization problem. It deals with a conundrum of searching the maximum number of satisfied clauses in a particular 3-SAT formula. This paper presents the implementation of enhanced Hopfield network in hastening the Maximum 3-Satisfiability (MAX-3SAT) logic programming. Four post optimization techniques are investigated, including the Elliot symmetric activation function, Gaussian activation function, Wavelet activation function and Hyperbolic tangent activation function. The performances of these post optimization techniques in accelerating MAX-3SAT logic programming will be discussed in terms of the ratio of maximum satisfied clauses, Hamming distance and the computation time. Dev-C++ was used as the platform for training, testing and validating our proposed techniques. The results depict the Hyperbolic tangent activation function and Elliot symmetric activation function can be used in doing MAX-3SAT logic programming.

  20. Development of a Positive Youth Development Program: Helping Parents to Improve Their Parenting Skills

    Directory of Open Access Journals (Sweden)

    Daniel T.L. Shek

    2006-01-01

    Full Text Available The Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programs is a positive youth development program that attempts to promote holistic development in adolescents in Hong Kong. In the Tier 2 Program of this project, social workers are expected to develop positive youth development programs for adolescents having greater psychosocial needs. They are required to submit proposals that will be evaluated in terms of whether the proposals are evidence based, and appropriate evaluation mechanisms are included. With reference to the literature on parental control processes that Chinese parents may be loose in their behavioral control and they tend to overemphasize academic excellence, it is argued that improvement of the parenting skills of parents of Chinese adolescents is an important area to be addressed. To facilitate social workers to prepare the related proposals, a sample proposal on how to improve the parenting skills of Chinese parents is described, including its conceptual framework, proposed program, and evaluation plan. It is argued that this supportive approach (i.e., preparation of a sample proposal can help social workers to develop quality proposals on positive youth development programs in Hong Kong.

  1. A linear programming approach for optimal contrast-tone mapping.

    Science.gov (United States)

    Wu, Xiaolin

    2011-05-01

    This paper proposes a novel algorithmic approach of image enhancement via optimal contrast-tone mapping. In a fundamental departure from the current practice of histogram equalization for contrast enhancement, the proposed approach maximizes expected contrast gain subject to an upper limit on tone distortion and optionally to other constraints that suppress artifacts. The underlying contrast-tone optimization problem can be solved efficiently by linear programming. This new constrained optimization approach for image enhancement is general, and the user can add and fine tune the constraints to achieve desired visual effects. Experimental results demonstrate clearly superior performance of the new approach over histogram equalization and its variants.

  2. Programmed evolution for optimization of orthogonal metabolic output in bacteria.

    Directory of Open Access Journals (Sweden)

    Todd T Eckdahl

    Full Text Available Current use of microbes for metabolic engineering suffers from loss of metabolic output due to natural selection. Rather than combat the evolution of bacterial populations, we chose to embrace what makes biological engineering unique among engineering fields - evolving materials. We harnessed bacteria to compute solutions to the biological problem of metabolic pathway optimization. Our approach is called Programmed Evolution to capture two concepts. First, a population of cells is programmed with DNA code to enable it to compute solutions to a chosen optimization problem. As analog computers, bacteria process known and unknown inputs and direct the output of their biochemical hardware. Second, the system employs the evolution of bacteria toward an optimal metabolic solution by imposing fitness defined by metabolic output. The current study is a proof-of-concept for Programmed Evolution applied to the optimization of a metabolic pathway for the conversion of caffeine to theophylline in E. coli. Introduced genotype variations included strength of the promoter and ribosome binding site, plasmid copy number, and chaperone proteins. We constructed 24 strains using all combinations of the genetic variables. We used a theophylline riboswitch and a tetracycline resistance gene to link theophylline production to fitness. After subjecting the mixed population to selection, we measured a change in the distribution of genotypes in the population and an increased conversion of caffeine to theophylline among the most fit strains, demonstrating Programmed Evolution. Programmed Evolution inverts the standard paradigm in metabolic engineering by harnessing evolution instead of fighting it. Our modular system enables researchers to program bacteria and use evolution to determine the combination of genetic control elements that optimizes catabolic or anabolic output and to maintain it in a population of cells. Programmed Evolution could be used for applications in

  3. GPAW optimized for Blue Gene/P using hybrid programming

    DEFF Research Database (Denmark)

    Kristensen, Mads Ruben Burgdorff; Happe, Hans Henrik; Vinter, Brian

    2009-01-01

    In this work we present optimizations of a Grid-based projector-augmented wave method software, GPAW for the Blue Gene/P architecture. The improvements are achieved by exploring the advantage of shared and distributed memory programming also known as hybrid programming. The work focuses on optimi......In this work we present optimizations of a Grid-based projector-augmented wave method software, GPAW for the Blue Gene/P architecture. The improvements are achieved by exploring the advantage of shared and distributed memory programming also known as hybrid programming. The work focuses...... an improvement of 1.94 compared to the original implementation is obtained. The results we demonstrate here are reasonably general and may be applied to other finite difference codes....

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

    Science.gov (United States)

    Matzke, Orville R.

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

  5. How to implement the Science Fair Self-Help Development Program in schools

    Energy Technology Data Exchange (ETDEWEB)

    Menicucci, D.

    1994-01-01

    This manual is intended to act as a working guide for setting up a Science Fair Volunteer Support Committee at your school. The Science Fair Volunteer Support Committee, or SFVSC, is the key component of the Science Fair Self-Help program, which was developed by Sandia National Laboratories and is designed to support a school`s science activities. The SFVSC is a team of parents and community volunteers who work in concert with a school`s teaching staff to assist and manage all areas of a school Science and Engineering Fair. The main advantage of creating such a committee is that it frees the science teachers from the organizational aspects of the fair and lets them concentrate on their job of teaching science. This manual is based on information gained through a Self-Help Development pilot program that was developed by Sandia National Laboratories during the 1991--92 school year at three Albuquerque, NM, middle schools. The manual describes the techniques that were successful in the pilot program and discusses how these techniques might be implemented in other schools. This manual also discusses problems that may be encountered, including suggestions for how they might be resolved.

  6. SMART Optimization of a Parenting Program for Active Duty Families

    Science.gov (United States)

    2017-10-01

    Parenting Tools (ADAPT) is a family resilience program which helps parents to be their children’s best teachers by providing them with effective...Lane County, Oregon. Families are immigrant families ; we will assess 120 Latino students, about 210 Latino parents, and about 50 teachers and...Contribution: Collaboration and networking, facilities, marketing consultation and product Organization: Fort Bragg, Family Advocacy Program and USASOC

  7. Evaluation of a DVD-Based Self-Help Program in Highly Socially Anxious Individuals--Pilot Study

    Science.gov (United States)

    Mall, Anna K.; Mehl, Annette; Kiko, Sonja; Kleindienst, Nikolaus; Salize, Hans-Joachim; Hermann, Christiane; Hoffmann, Torsten; Bohus, Martin; Steil, Regina

    2011-01-01

    High social anxiety is a risk factor for the incidence of social anxiety disorder (SAD). Early diagnosis and intervention may prevent more severe psychiatric courses. Self-help programs may be a convenient, accessible, and effective intervention. This study examined the efficacy of a newly developed self-help program for SAD in individuals with…

  8. Dynamic Programming Approach for Exact Decision Rule Optimization

    KAUST Repository

    Amin, Talha

    2013-01-01

    This chapter is devoted to the study of an extension of dynamic programming approach that allows sequential optimization of exact decision rules relative to the length and coverage. It contains also results of experiments with decision tables from UCI Machine Learning Repository. © Springer-Verlag Berlin Heidelberg 2013.

  9. Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization

    Science.gov (United States)

    Gelman, Andrew; Lee, Daniel; Guo, Jiqiang

    2015-01-01

    Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia and has great promise for fitting large and complex statistical models in many areas of application. We discuss Stan from users' and developers'…

  10. BILGO: Bilateral greedy optimization for large scale semidefinite programming

    KAUST Repository

    Hao, Zhifeng

    2013-10-03

    Many machine learning tasks (e.g. metric and manifold learning problems) can be formulated as convex semidefinite programs. To enable the application of these tasks on a large-scale, scalability and computational efficiency are considered as desirable properties for a practical semidefinite programming algorithm. In this paper, we theoretically analyze a new bilateral greedy optimization (denoted BILGO) strategy in solving general semidefinite programs on large-scale datasets. As compared to existing methods, BILGO employs a bilateral search strategy during each optimization iteration. In such an iteration, the current semidefinite matrix solution is updated as a bilateral linear combination of the previous solution and a suitable rank-1 matrix, which can be efficiently computed from the leading eigenvector of the descent direction at this iteration. By optimizing for the coefficients of the bilateral combination, BILGO reduces the cost function in every iteration until the KKT conditions are fully satisfied, thus, it tends to converge to a global optimum. In fact, we prove that BILGO converges to the global optimal solution at a rate of O(1/k), where k is the iteration counter. The algorithm thus successfully combines the efficiency of conventional rank-1 update algorithms and the effectiveness of gradient descent. Moreover, BILGO can be easily extended to handle low rank constraints. To validate the effectiveness and efficiency of BILGO, we apply it to two important machine learning tasks, namely Mahalanobis metric learning and maximum variance unfolding. Extensive experimental results clearly demonstrate that BILGO can solve large-scale semidefinite programs efficiently.

  11. Second-order optimality conditions for nonlinear programs and mathematical programs.

    Science.gov (United States)

    Daidai, Ikram

    2017-01-01

    It is well known that second-order information is a basic tool notably in optimality conditions and numerical algorithms. In this work, we present a generalization of optimality conditions to strongly convex functions of order γ with the help of first- and second-order approximations derived from (Optimization 40(3):229-246, 2011) and we study their characterization. Further, we give an example of such a function that arises quite naturally in nonlinear analysis and optimization. An extension of Newton's method is also given and proved to solve Euler equation with second-order approximation data.

  12. Second-order optimality conditions for nonlinear programs and mathematical programs

    Directory of Open Access Journals (Sweden)

    Ikram Daidai

    2017-09-01

    Full Text Available Abstract It is well known that second-order information is a basic tool notably in optimality conditions and numerical algorithms. In this work, we present a generalization of optimality conditions to strongly convex functions of order γ with the help of first- and second-order approximations derived from (Optimization 40(3:229-246, 2011 and we study their characterization. Further, we give an example of such a function that arises quite naturally in nonlinear analysis and optimization. An extension of Newton’s method is also given and proved to solve Euler equation with second-order approximation data.

  13. OPTIMIZATION OF FEED FOR UNPRODUCTIVE ANIMALS WITH THE HELP OF MATHEMATICAL MODELING

    Directory of Open Access Journals (Sweden)

    G. V. Alekseev

    2015-01-01

    Full Text Available The article describes a new approach to improve the resource saving in the production of pet food through the use of secondary raw materials and optimal food recipes provided by mathematical modeling on the basis of fuzzy logic device. Unstable quality indicators of raw materials and the interaction between the components of the mixture make it more difficult to construct a complete mathematical model. That is why modeling of recipes for unproductive animals food is carried out by means of fuzzy logic device. The advantage of this method is the ability to carry out the analysis, in a subjective evaluation of empirical data and the absence of an explicit numerical form of result. The advantages of these systems are particularly bright when designing multicomponent food products, where the uncertainty of input and output parameters is high and the quality is assessed by sensory analysis. Fuzzy logic device allows to improve the quality of objects management, to determine the optimal ratio of recipe components when designing new types of multicomponent dry food products and to reduce the number of experiments. Moreover it provides the opportunity to improve the production management and the finished product control quality in conditions of information uncertainty, which is typical for real production in food industries. To implement the proposed method, we used the Fuzzy Logic Toolbox module, included in the MatLab package, and to represent the modeling results graphically, we used the Surfase Viewer module. The analytical calculations and experimental results showing the efficiency of the proposed method for different gender groups of animals are given.

  14. Integer programming model for optimizing bus timetable using genetic algorithm

    Science.gov (United States)

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

    2017-01-01

    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%.

  15. Using linear programming to analyze and optimize stochastic flow lines

    DEFF Research Database (Denmark)

    Helber, Stefan; Schimmelpfeng, Katja; Stolletz, Raik

    2011-01-01

    , to determine a production rate estimate. As our methodology is purely numerical, it offers the full modeling flexibility of stochastic simulation with respect to the probability distribution of processing times. However, unlike discrete-event simulation models, it also offers the optimization power of linear......This paper presents a linear programming approach to analyze and optimize flow lines with limited buffer capacities and stochastic processing times. The basic idea is to solve a huge but simple linear program that models an entire simulation run of a multi-stage production process in discrete time...... programming and hence allows us to solve buffer allocation problems. We show under which conditions our method works well by comparing its results to exact values for two-machine models and approximate simulation results for longer lines....

  16. The application of the dynamic programming method in investment optimization

    Directory of Open Access Journals (Sweden)

    Petković Nina

    2016-01-01

    Full Text Available This paper deals with the problem of investment in Measuring Transformers Factory in Zajecar and the application of the dynamic programming method as one of the methods used in business process optimization. Dynamic programming is a special case of nonlinear programming that is widely applicable to nonlinear systems in economics. Measuring Transformers Factory in Zajecar was founded in 1969. It manufactures electrical equipment, primarily low and medium voltage current measuring transformers, voltage transformers, bushings, etc. The company offers a wide range of products and for this paper's needs the company's management selected three products for each of which optimal investment costing was made. The purpose was to see which product would be the most profitable and thus proceed with the manufacturing and selling of that particular product or products.

  17. Industrial cogeneration optimization program. Final report, September 1979

    Energy Technology Data Exchange (ETDEWEB)

    Davis, Jerry; McWhinney, Jr., Robert T.

    1980-01-01

    This study program is part of the DOE Integrated Industry Cogeneration Program to optimize, evaluate, and demonstrate cogeneration systems, with direct participation of the industries most affected. One objective is to characterize five major energy-intensive industries with respect to their energy-use profiles. The industries are: petroleum refining and related industries, textile mill products, paper and allied products, chemicals and allied products, and food and kindred products. Another objective is to select optimum cogeneration systems for site-specific reference case plants in terms of maximum energy savings subject to given return on investment hurdle rates. Analyses were made that define the range of optimal cogeneration systems for each reference-case plant considering technology applicability, economic factors, and energy savings by type of fuel. This study also provides guidance to other parts of the program through information developed with regard to component development requirements, institutional and regulatory barriers, as well as fuel use and environmental considerations. (MCW)

  18. A Blended Professional Development Program to Help a Teacher Learn to Provide One-to-One Scaffolding

    Science.gov (United States)

    Belland, Brian R.; Burdo, Ryan; Gu, Jiangyue

    2015-04-01

    Argumentation is central to instruction centered on socio-scientific issues (Sadler & Donnelly in International Journal of Science Education, 28(12), 1463-1488, 2006. doi: 10.1080/09500690600708717). Teachers can play a big role in helping students engage in argumentation and solve authentic scientific problems. To do so, they need to learn one-to-one scaffolding—dynamic support to help students accomplish tasks that they could not complete unaided. This study explores a middle school science teacher's provision of one-to-one scaffolding during a problem-based learning unit, in which students argued about how to optimize the water quality of their local river. The blended professional development program incorporated three 1.5-h seminars, one 8-h workshop, and 4 weeks of online education activities. Data sources were video of three small groups per period, and what students typed in response to prompts from computer-based argumentation scaffolds. Results indicated that the teacher provided one-to-one scaffolding on a par with inquiry-oriented teachers described in the literature.

  19. Application of Semidefinite Programming to Truss Design Optimization

    Directory of Open Access Journals (Sweden)

    Rasa Giniūnaitė

    2015-07-01

    Full Text Available Semidefinite Programming (SDP is a fairly recent way of solving optimization problems which are becoming more and more important in our fast moving world. It is a minimization of linear function over the intersection of the cone of positive semidefinite matrices with an affine space, i.e. non-linear but convex constraints. All linear problems and many engineering and combinatorial optimization problems can be expressed as SDP, so it is highly applicable. There are many packages that use different algorithms to solve SDP problems. They can be downloaded from internet and easily learnt how to use, two of these are SeDuMi and SDPT-3. In this paper truss structure optimization problem with the goal of minimizing the mass of the truss structure was solved. After doing some algebraic manipulation the problem was formulated suitably for Semidefinite Programming. SeDuMi and SDPT-3 packages were used to solve it. The choice of the initial solution had a great impact on the result using SeDuMi. The mass obtained using SDPT-3 was on average smaller than the one obtained using SeDuMi. Moreover, SDPT-3 worked more efficiently. However, the comparison of my approach and two versions of particle swarm optimization algorithm implied that semidefinite programming is in general more appropriate for solving such problems.

  20. How cognitive assessment through clinical neurophysiology may help optimize chronic alcoholism treatment.

    Science.gov (United States)

    Campanella, S; Petit, G; Verbanck, P; Kornreich, C; Noel, X

    2011-07-01

    Alcohol dependence constitutes a serious worldwide public health problem. The last few decades have seen many pharmacological studies devoted to the improvement of alcoholism treatment. Although psychosocial treatments (e.g. individual or group therapy) have historically been the mainstay of alcoholism treatment, a successful approach for alcohol dependence consists in associating pharmacologic medications with therapy, as 40-70% of patients following only psychosocial therapy typically resume alcohol use within a year of post-detoxification treatment. Nowadays, two main pharmacological options, naltrexone and acomprosate, both approved by the US Food and Drug Administration, are available and seemingly improve on the results yielded by standard techniques employed in the management of alcoholism. However, insufficient data exist to confirm the superiority of one drug over the other, and research is ongoing to determine what type of alcohol-dependent individual benefits the most from using either medication. Available data on the application of both drugs clearly suggest different practical applications. Thus, a fundamental question remains as to how we can identify which alcoholic patients are likely to benefit from the use of naltrexone, acamprosate or both, and which are not. The aim of the present manuscript is to suggest the use of cognitive event-related potentials as an interesting way to identify subgroups of alcoholic patients displaying specific clinical symptoms and cognitive disturbances. We propose that this may help clinicians improve their treatment of alcoholic patients by focusing therapy on individual cognitive disturbances, and by adapting the pharmaceutical approach to the specific needs of the patient. Copyright © 2011 Elsevier Masson SAS. All rights reserved.

  1. Population-level effects of automated smoking cessation help programs: a randomized controlled trial.

    Science.gov (United States)

    Borland, Ron; Balmford, James; Benda, Peter

    2013-03-01

    To test the population impact of offering automated smoking cessation interventions via the internet and/or by mobile phone. Pragmatic randomized controlled trial with five conditions: offer of (i) minimal intervention control; (ii) QuitCoach personalized tailored internet-delivered advice program; (iii) onQ, an interactive automated text-messaging program; (iv) an integration of both QuitCoach and onQ; and (v) a choice of either alone or the combined program. Australia, via a mix of internet and telephone contacts. A total of 3530 smokers or recent quitters recruited from those interested in quitting, and seeking self-help resources (n = 1335) or cold-contacted from internet panels (n = 2195). The primary outcome was self-report of 6 months sustained abstinence at 7 months post-recruitment. Only 42.5% of those offered one of the interventions took it up to a minimal level. The intervention groups combined had a non-significantly higher 6-month sustained abstinence rate than the control [odds ratio (OR) = 1.48; 95% confidence interval (CI): 0.98-2.24] (missing cases treated as smokers), with no differences between the interventions. Among those who used an intervention, there was a significant overall increase in abstinence (OR = 1.95; CI: 1.04-3.67), but not clearly so when analysing only cases with reported outcomes. Success rates were greater among those recruited after seeking information compared to those cold-contacted. Smokers interested in quitting who were assigned randomly to an offer of either the QuitCoach internet-based support program and/or the interactive automated text-messaging program had non-significantly greater odds of quitting for at least 6 months than those randomized to an offer of a simple information website. © 2012 The Authors, Addiction © 2012 Society for the Study of Addiction.

  2. 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

    2017-03-28

    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

  3. Penempatan Optimal Phasor Measurement Unit (PMU dengan Integer Programming

    Directory of Open Access Journals (Sweden)

    Yunan Helmy Amrulloh

    2013-09-01

    Full Text Available Phasor Measurement Unit (PMU merupakan peralatan yang mampu memberikan pengukuran fasor tegangan dan arus secara real-time. PMU dapat digunakan untuk monitoring, proteksi dan kontrol pada sistem tenaga listrik. Tugas akhir ini membahas penempatan PMU secara optimal berdasarkan topologi jaringan sehingga sistem tenaga listrik  dapat diobservasi. Penempatan optimal PMU dirumuskan sebagai masalah Binary Integer Programming (BIP yang akan memberikan variabel dengan pilihan nilai (0,1 yang menunjukkan tempat yang harus dipasang PMU. Dalam tugas akhir ini, BIP diterapkan untuk menyelesaikan masalah penempatan PMU secara optimal pada sistem tenaga listrik  Jawa-Bali 500 KV yang selanjutnya diterapkan dengan penambahan konsep incomplete observability. Hasil simulasi menunjukkan bahwa penerapan BIP pada sistem dengan incomplete observability memberikan jumlah PMU yang lebih sedikit dibandingkan dengan sistem tanpa konsep incomplete observability.

  4. Optimal traffic control in highway transportation networks using linear programming

    KAUST Repository

    Li, Yanning

    2014-06-01

    This article presents a framework for the optimal control of boundary flows on transportation networks. The state of the system is modeled by a first order scalar conservation law (Lighthill-Whitham-Richards PDE). Based on an equivalent formulation of the Hamilton-Jacobi PDE, the problem of controlling the state of the system on a network link in a finite horizon can be posed as a Linear Program. Assuming all intersections in the network are controllable, we show that the optimization approach can be extended to an arbitrary transportation network, preserving linear constraints. Unlike previously investigated transportation network control schemes, this framework leverages the intrinsic properties of the Halmilton-Jacobi equation, and does not require any discretization or boolean variables on the link. Hence this framework is very computational efficient and provides the globally optimal solution. The feasibility of this framework is illustrated by an on-ramp metering control example.

  5. Optimization of a pump-pipe system by dynamic programming

    DEFF Research Database (Denmark)

    Vidal, Rene Victor Valqui; Ferreira, Jose S.

    1984-01-01

    In this paper the problem of minimizing the total cost of a pump-pipe system in series is considered. The route of the pipeline and the number of pumping stations are known. The optimization will then consist in determining the control variables, diameter and thickness of the pipe and the size of...... of the pumps. A general mathematical model is formulated and Dynamic Programming is used to find an optimal solution.......In this paper the problem of minimizing the total cost of a pump-pipe system in series is considered. The route of the pipeline and the number of pumping stations are known. The optimization will then consist in determining the control variables, diameter and thickness of the pipe and the size...

  6. Adaptive dynamic programming with applications in optimal control

    CERN Document Server

    Liu, Derong; Wang, Ding; Yang, Xiong; Li, Hongliang

    2017-01-01

    This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-time systems. Coverage of discrete-time systems starts with a more general form of value iteration to demonstrate its convergence, optimality, and stability with complete and thorough theoretical analysis. A more realistic form of value iteration is studied where value function approximations are assumed to have finite errors. Adaptive Dynamic Programming also details another avenue of the ADP approach: policy iteration. Both basic and generalized forms of policy-iteration-based ADP are studied with complete and thorough theoretical analysis in terms of convergence, optimality, stability, and error bounds. Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP app...

  7. Cost-effectiveness of the "helping babies breathe" program in a missionary hospital in rural Tanzania.

    Directory of Open Access Journals (Sweden)

    Corinna Vossius

    Full Text Available The Helping Babies Breathe" (HBB program is an evidence-based curriculum in basic neonatal care and resuscitation, utilizing simulation-based training to educate large numbers of birth attendants in low-resource countries. We analyzed its cost-effectiveness at a faith-based Haydom Lutheran Hospital (HLH in rural Tanzania.Data about early neonatal mortality and fresh stillbirth rates were drawn from a linked observational study during one year before and one year after full implementation of the HBB program. Cost data were provided by the Tanzanian Ministry of Health and Social Welfare (MOHSW, the research department at HLH, and the manufacturer of the training material Lærdal Global Health.Costs per life saved were USD 233, while they were USD 4.21 per life year gained. Costs for maintaining the program were USD 80 per life saved and USD 1.44 per life year gained. Costs per disease adjusted life year (DALY averted ranged from International Dollars (ID; a virtual valuta corrected for purchasing power world-wide 12 to 23, according to how DALYs were calculated.The HBB program is a low-cost intervention. Implementation in a very rural faith-based hospital like HLH has been highly cost-effective. To facilitate further global implementation of HBB a cost-effectiveness analysis including government owned institutions, urban hospitals and district facilities is desirable for a more diverse analysis to explore cost-driving factors and predictors of enhanced cost-effectiveness.

  8. How to Use Linear Programming for Information System Performances Optimization

    Directory of Open Access Journals (Sweden)

    Hell Marko

    2014-09-01

    Full Text Available Background: Organisations nowadays operate in a very dynamic environment, and therefore, their ability of continuously adjusting the strategic plan to the new conditions is a must for achieving their strategic objectives. BSC is a well-known methodology for measuring performances enabling organizations to learn how well they are doing. In this paper, “BSC for IS” will be proposed in order to measure the IS impact on the achievement of organizations’ business goals. Objectives: The objective of this paper is to present the original procedure which is used to enhance the BSC methodology in planning the optimal targets of IS performances value in order to maximize the organization's effectiveness. Methods/Approach: The method used in this paper is the quantitative methodology - linear programming. In the case study, linear programming is used for optimizing organization’s strategic performance. Results: Results are shown on the example of a case study national park. An optimal performance value for the strategic objective has been calculated, as well as an optimal performance value for each DO (derived objective. Results are calculated in Excel, using Solver Add-in. Conclusions: The presentation of methodology through the case study of a national park shows that this methodology, though it requires a high level of formalisation, provides a very transparent performance calculation.

  9. An efficient linear programming method for Optimal Transportation

    OpenAIRE

    Oberman, Adam M.; Ruan, Yuanlong

    2015-01-01

    An efficient method for computing solutions to the Optimal Transportation (OT) problem with a wide class of cost functions is presented. The standard linear programming (LP) discretization of the continuous problem becomes intractible for moderate grid sizes. A grid refinement method results in a linear cost algorithm. Weak convergence of solutions is stablished. Barycentric projection of transference plans is used to improve the accuracy of solutions. The method is applied to more general pr...

  10. SEWER NETWORK DISCHARGE OPTIMIZATION USING THE DYNAMIC PROGRAMMING

    Directory of Open Access Journals (Sweden)

    Viorel MINZU

    2015-12-01

    Full Text Available It is necessary to adopt an optimal control that allows an efficient usage of the existing sewer networks, in order to avoid the building of new retention facilities. The main objective of the control action is to minimize the overflow volume of a sewer network. This paper proposes a method to apply a solution obtained by discrete dynamic programming through a realistic closed loop system.

  11. An alternative optimization technique for interval objective constrained optimization problems via multiobjective programming

    Directory of Open Access Journals (Sweden)

    Samiran Karmakar

    2014-07-01

    Full Text Available An alternative optimization technique via multiobjective programming for constrained optimization problems with interval-valued objectives has been proposed. Reduction of interval objective functions to those of noninterval (crisp one is the main ingredient of the proposed technique. At first, the significance of interval-valued objective functions along with the meaning of interval-valued solutions of the proposed problem has been explained graphically. Generally, the proposed problems have infinitely many compromise solutions. The objective is to obtain one of such solutions with higher accuracy and lower computational effort. Adequate number of numerical examples has been solved in support of this technique.

  12. [Bibliotherapy as a self-help program for parents of children with externalizing problem behavior].

    Science.gov (United States)

    Kierfeld, Frauke; Döpfner, Manfred

    2006-09-01

    Externalizing problem behaviour is one of the most frequent and most stable behavioural disorders of childhood and adolescence. The development of applicable alternatives to expensive and restrictedly available treatments becomes increasingly necessary. This pilot study tested bibliotherapy in the form of a manual-assisted self-help programme under minimum contact conditions for parents of children with externalizing problem behaviour. A total of 21 children, aged 6 to 15 years and diagnosed with Attention-Deficit/Hyperactivity Disorder (ADHD) and/or an Oppositional Defiant Disorder, were recruited from an outpatient population. The bibliotherapy lasted 10 weeks and consisted of working through a self-help book for parents (Wackelpeter und Trotzkopf). Initial clinical interviews and pre- and post-treatment evaluations were included, as well as short weekly telephone contacts (approx. 20 min. per contact) with the parents. The children's externalizing behaviour was significantly reduced during the intervention. The parenting skills were strengthened. The satisfaction of the parents with the program was high. Fewer than 20% of the parents indicated a need for an additional intensive behavioural outpatient treatment at the end of the intervention. Bibliotherapy may be an applicable and effective treatment alternative for children with disruptive behaviour disorders, at least in families with the resources necessary for this kind of intervention. The results have to be replicated within randomized control group trials.

  13. Portfolio optimization in enhanced index tracking with goal programming approach

    Science.gov (United States)

    Siew, Lam Weng; Jaaman, Saiful Hafizah Hj.; Ismail, Hamizun bin

    2014-09-01

    Enhanced index tracking is a popular form of passive fund management in stock market. Enhanced index tracking aims to generate excess return over the return achieved by the market index without purchasing all of the stocks that make up the index. This can be done by establishing an optimal portfolio to maximize the mean return and minimize the risk. The objective of this paper is to determine the portfolio composition and performance using goal programming approach in enhanced index tracking and comparing it to the market index. Goal programming is a branch of multi-objective optimization which can handle decision problems that involve two different goals in enhanced index tracking, a trade-off between maximizing the mean return and minimizing the risk. The results of this study show that the optimal portfolio with goal programming approach is able to outperform the Malaysia market index which is FTSE Bursa Malaysia Kuala Lumpur Composite Index because of higher mean return and lower risk without purchasing all the stocks in the market index.

  14. A Web-Disseminated Self-Help and Peer Support Program Could Fill Gaps in Mental Health Care: Lessons From a Consumer Survey.

    Science.gov (United States)

    Bernecker, Samantha L; Banschback, Kaitlin; Santorelli, Gennarina D; Constantino, Michael J

    2017-01-19

    Self-guided mental health interventions that are disseminated via the Web have the potential to circumvent barriers to treatment and improve public mental health. However, self-guided interventions often fail to attract consumers and suffer from user nonadherence. Uptake of novel interventions could be improved by consulting consumers from the beginning of the development process in order to assess their interest and their preferences. Interventions can then be tailored using this feedback to optimize appeal. The aim of our study was to determine the level of public interest in a new mental health intervention that incorporates elements of self-help and peer counseling and that is disseminated via a Web-based training course; to identify predictors of interest in the program; and to identify consumer preferences for features of Web-based courses and peer support programs. We surveyed consumers via Amazon's Mechanical Turk to estimate interest in the self-help and peer support program. We assessed associations between demographic and clinical characteristics and interest in the program, and we obtained feedback on desired features of the program. Overall, 63.9% (378/592) of respondents said that they would try the program; interest was lower but still substantial among those who were not willing or able to access traditional mental health services. Female gender, lower income, and openness to using psychotherapy were the most consistent predictors of interest in the program. The majority of respondents, although not all, preferred romantic partners or close friends as peer counselors and would be most likely to access the program if the training course were accessed on a stand-alone website. In general, respondents valued training in active listening skills. In light of the apparent public interest in this program, Web-disseminated self-help and peer support interventions have enormous potential to fill gaps in mental health care. The results of this survey can be

  15. Optimization

    CERN Document Server

    Pearce, Charles

    2009-01-01

    Focuses on mathematical structure, and on real-world applications. This book includes developments in several optimization-related topics such as decision theory, linear programming, turnpike theory, duality theory, convex analysis, and queuing theory.

  16. Optimization of Algorithms Using Extensions of Dynamic Programming

    KAUST Repository

    AbouEisha, Hassan M.

    2017-04-09

    We study and answer questions related to the complexity of various important problems such as: multi-frontal solvers of hp-adaptive finite element method, sorting and majority. We advocate the use of dynamic programming as a viable tool to study optimal algorithms for these problems. The main approach used to attack these problems is modeling classes of algorithms that may solve this problem using a discrete model of computation then defining cost functions on this discrete structure that reflect different complexity measures of the represented algorithms. As a last step, dynamic programming algorithms are designed and used to optimize those models (algorithms) and to obtain exact results on the complexity of the studied problems. The first part of the thesis presents a novel model of computation (element partition tree) that represents a class of algorithms for multi-frontal solvers along with cost functions reflecting various complexity measures such as: time and space. It then introduces dynamic programming algorithms for multi-stage and bi-criteria optimization of element partition trees. In addition, it presents results based on optimal element partition trees for famous benchmark meshes such as: meshes with point and edge singularities. New improved heuristics for those benchmark meshes were ob- tained based on insights of the optimal results found by our algorithms. The second part of the thesis starts by introducing a general problem where different problems can be reduced to and show how to use a decision table to model such problem. We describe how decision trees and decision tests for this table correspond to adaptive and non-adaptive algorithms for the original problem. We present exact bounds on the average time complexity of adaptive algorithms for the eight elements sorting problem. Then bounds on adaptive and non-adaptive algorithms for a variant of the majority problem are introduced. Adaptive algorithms are modeled as decision trees whose depth

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

    Directory of Open Access Journals (Sweden)

    Jiaqiao Hu

    2010-10-01

    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.

  18. 78 FR 57845 - Notice of Availability (NOA) for Strategic Network Optimization (SNO) Program Environmental...

    Science.gov (United States)

    2013-09-20

    ... Strategic Network Optimization (SNO) Program Environmental Assessment. SUMMARY: The Defense Logistics Agency... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF DEFENSE Office of the Secretary Notice of Availability (NOA) for Strategic Network Optimization (SNO) Program...

  19. New York City Program Administrators Perceptions of the Helpfulness of Outside Mandated Evaluations on Administrative Decision-Making in ESEA Programs.

    Science.gov (United States)

    Goldberg, Melvin

    Program administrators for 64 Elementary Secondary Education Act (ESEA) programs in New York City were asked to respond to a questionnaire rating scale concerning the helpfulness and quantity of information that had been provided to them by the program evaluators. The rating scale categorized areas of administrative decision making in five…

  20. Exploiting variability for energy optimization of parallel programs

    Energy Technology Data Exchange (ETDEWEB)

    Lavrijsen, Wim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Iancu, Costin [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); de Jong, Wibe [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Chen, Xin [Georgia Inst. of Technology, Atlanta, GA (United States); Schwan, Karsten [Georgia Inst. of Technology, Atlanta, GA (United States)

    2016-04-18

    Here in this paper we present optimizations that use DVFS mechanisms to reduce the total energy usage in scientific applications. Our main insight is that noise is intrinsic to large scale parallel executions and it appears whenever shared resources are contended. The presence of noise allows us to identify and manipulate any program regions amenable to DVFS. When compared to previous energy optimizations that make per core decisions using predictions of the running time, our scheme uses a qualitative approach to recognize the signature of executions amenable to DVFS. By recognizing the "shape of variability" we can optimize codes with highly dynamic behavior, which pose challenges to all existing DVFS techniques. We validate our approach using offline and online analyses for one-sided and two-sided communication paradigms. We have applied our methods to NWChem, and we show best case improvements in energy use of 12% at no loss in performance when using online optimizations running on 720 Haswell cores with one-sided communication. With NWChem on MPI two-sided and offline analysis, capturing the initialization, we find energy savings of up to 20%, with less than 1% performance cost.

  1. Top Textbooks on Reserve: Creating, Promoting, and Assessing a Program to Help Meet Students' Need for Affordable Textbooks

    Science.gov (United States)

    Thompson, Hilary H.; Cotton, Jennifer E. M.

    2017-01-01

    In Fall 2014 the University of Maryland Libraries launched a textbook reserves program to help relieve the burden of high textbook costs on students. Although its initial performance was lackluster, workflow refinements and expanded promotion greatly improved usage, resulting in a tenfold increase in circulation and expansion of the program. This…

  2. Visualising Pareto-optimal trade-offs helps move beyond monetary-only criteria for water management decisions

    Science.gov (United States)

    Hurford, Anthony; Harou, Julien

    2014-05-01

    Water related eco-system services are important to the livelihoods of the poorest sectors of society in developing countries. Degradation or loss of these services can increase the vulnerability of people decreasing their capacity to support themselves. New approaches to help guide water resources management decisions are needed which account for the non-market value of ecosystem goods and services. In case studies from Brazil and Kenya we demonstrate the capability of many objective Pareto-optimal trade-off analysis to help decision makers balance economic and non-market benefits from the management of existing multi-reservoir systems. A multi-criteria search algorithm is coupled to a water resources management simulator of each basin to generate a set of Pareto-approximate trade-offs representing the best case management decisions. In both cases, volume dependent reservoir release rules are the management decisions being optimised. In the Kenyan case we further assess the impacts of proposed irrigation investments, and how the possibility of new investments impacts the system's trade-offs. During the multi-criteria search (optimisation), performance of different sets of management decisions (policies) is assessed against case-specific objective functions representing provision of water supply and irrigation, hydropower generation and maintenance of ecosystem services. Results are visualised as trade-off surfaces to help decision makers understand the impacts of different policies on a broad range of stakeholders and to assist in decision-making. These case studies show how the approach can reveal unexpected opportunities for win-win solutions, and quantify the trade-offs between investing to increase agricultural revenue and negative impacts on protected ecosystems which support rural livelihoods.

  3. Particle swarm optimization for programming deep brain stimulation arrays.

    Science.gov (United States)

    Peña, Edgar; Zhang, Simeng; Deyo, Steve; Xiao, YiZi; Johnson, Matthew D

    2017-02-01

    Deep brain stimulation (DBS) therapy relies on both precise neurosurgical targeting and systematic optimization of stimulation settings to achieve beneficial clinical outcomes. One recent advance to improve targeting is the development of DBS arrays (DBSAs) with electrodes segmented both along and around the DBS lead. However, increasing the number of independent electrodes creates the logistical challenge of optimizing stimulation parameters efficiently. Solving such complex problems with multiple solutions and objectives is well known to occur in biology, in which complex collective behaviors emerge out of swarms of individual organisms engaged in learning through social interactions. Here, we developed a particle swarm optimization (PSO) algorithm to program DBSAs using a swarm of individual particles representing electrode configurations and stimulation amplitudes. Using a finite element model of motor thalamic DBS, we demonstrate how the PSO algorithm can efficiently optimize a multi-objective function that maximizes predictions of axonal activation in regions of interest (ROI, cerebellar-receiving area of motor thalamus), minimizes predictions of axonal activation in regions of avoidance (ROA, somatosensory thalamus), and minimizes power consumption. The algorithm solved the multi-objective problem by producing a Pareto front. ROI and ROA activation predictions were consistent across swarms (<1% median discrepancy in axon activation). The algorithm was able to accommodate for (1) lead displacement (1 mm) with relatively small ROI (⩽9.2%) and ROA (⩽1%) activation changes, irrespective of shift direction; (2) reduction in maximum per-electrode current (by 50% and 80%) with ROI activation decreasing by 5.6% and 16%, respectively; and (3) disabling electrodes (n  =  3 and 12) with ROI activation reduction by 1.8% and 14%, respectively. Additionally, comparison between PSO predictions and multi-compartment axon model simulations showed discrepancies

  4. Particle swarm optimization for programming deep brain stimulation arrays

    Science.gov (United States)

    Peña, Edgar; Zhang, Simeng; Deyo, Steve; Xiao, YiZi; Johnson, Matthew D.

    2017-02-01

    Objective. Deep brain stimulation (DBS) therapy relies on both precise neurosurgical targeting and systematic optimization of stimulation settings to achieve beneficial clinical outcomes. One recent advance to improve targeting is the development of DBS arrays (DBSAs) with electrodes segmented both along and around the DBS lead. However, increasing the number of independent electrodes creates the logistical challenge of optimizing stimulation parameters efficiently. Approach. Solving such complex problems with multiple solutions and objectives is well known to occur in biology, in which complex collective behaviors emerge out of swarms of individual organisms engaged in learning through social interactions. Here, we developed a particle swarm optimization (PSO) algorithm to program DBSAs using a swarm of individual particles representing electrode configurations and stimulation amplitudes. Using a finite element model of motor thalamic DBS, we demonstrate how the PSO algorithm can efficiently optimize a multi-objective function that maximizes predictions of axonal activation in regions of interest (ROI, cerebellar-receiving area of motor thalamus), minimizes predictions of axonal activation in regions of avoidance (ROA, somatosensory thalamus), and minimizes power consumption. Main results. The algorithm solved the multi-objective problem by producing a Pareto front. ROI and ROA activation predictions were consistent across swarms (<1% median discrepancy in axon activation). The algorithm was able to accommodate for (1) lead displacement (1 mm) with relatively small ROI (⩽9.2%) and ROA (⩽1%) activation changes, irrespective of shift direction; (2) reduction in maximum per-electrode current (by 50% and 80%) with ROI activation decreasing by 5.6% and 16%, respectively; and (3) disabling electrodes (n  =  3 and 12) with ROI activation reduction by 1.8% and 14%, respectively. Additionally, comparison between PSO predictions and multi-compartment axon

  5. How MBA programs help the wine producers to innovate creating new employments?

    Directory of Open Access Journals (Sweden)

    Veissiere Delphine

    2015-01-01

    Full Text Available People love innovation: they are fascinating and usually curious to know how it works. But people love it until it affects them. The biggest obstacle is not technology but it is we humans and the institutions we live in. Both are stubbornly resistant to experimentation and to the change of the routine and the relative corporate organization. During the last fifteen years, a large room has been opened to the technological innovation in the vineyard and in the cellar but the new way to reach the final customer and to keep it loyal have been missed. The customer experience topic and the different gap of the customer satisfaction a producer should monitor and shorten, are rarely developed in the marketing training sessions in the MBA programs. It exists a real gap between the consumer perception and the way in which the wine is promoted. Producers are not aware about the new marketing techniques that should help them to grow and create new jobs on top of the wine production activities.

  6. Mortgage Loan Portfolio Optimization Using Multi-Stage Stochastic Programming

    DEFF Research Database (Denmark)

    Rasmussen, Kourosh Marjani; Clausen, Jens

    2007-01-01

    We consider the dynamics of the Danish mortgage loan system and propose several models to reflect the choices of a mortgagor as well as his attitude towards risk. The models are formulated as multi stage stochastic integer programs, which are difficult to solve for more than 10 stages. Scenario...... reduction and LP relaxation are used to obtain near optimal solutions for large problem instances. Our results show that the standard Danish mortgagor should hold a more diversified portfolio of mortgage loans, and that he should rebalance the portfolio more frequently than current practice....

  7. The Inverse Optimal Problem: A Dynamic Programming Approach.

    OpenAIRE

    Chang, Fwu-Ranq

    1988-01-01

    This paper solves the stochastic inverse optimal problem. Dynamic programming is used to transform the origina l problem into a differential equation. A solution exists for any pro duction function with a finite slope at the origin provided the savin gs function, starting from the origin, is steep initially and flat ev entually. Three consumption functions-linear, Keynes-ian, and Cantabr igian-are also studied with a Cobb-Douglas production technology. A w ell-known result in discrete time mo...

  8. Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization

    Energy Technology Data Exchange (ETDEWEB)

    Liao, C; Quinlan, D J; Vuduc, R; Panas, T

    2009-07-17

    Although automated empirical performance optimization and tuning is well-studied for kernels and domain-specific libraries, a current research grand challenge is how to extend these methodologies and tools to significantly larger sequential and parallel applications. In this context, we present the ROSE source-to-source outliner, which addresses the problem of extracting tunable kernels out of whole programs, thereby helping to convert the challenging whole-program tuning problem into a set of more manageable kernel tuning tasks. Our outliner aims to handle large scale C/C++, Fortran and OpenMP applications. A set of program analysis and transformation techniques are utilized to enhance the portability, scalability, and interoperability of source-to-source outlining. More importantly, the generated kernels preserve performance characteristics of tuning targets and can be easily handled by other tools. Preliminary evaluations have shown that the ROSE outliner serves as a key component within an end-to-end empirical optimization system and enables a wide range of sequential and parallel optimization opportunities.

  9. Parallelizing Particle Swarm Optimization in a Functional Programming Environment

    Directory of Open Access Journals (Sweden)

    Pablo Rabanal

    2014-10-01

    Full Text Available Many bioinspired methods are based on using several simple entities which search for a reasonable solution (somehow independently. This is the case of Particle Swarm Optimization (PSO, where many simple particles search for the optimum solution by using both their local information and the information of the best solution found so far by any of the other particles. Particles are partially independent, and we can take advantage of this fact to parallelize PSO programs. Unfortunately, providing good parallel implementations for each specific PSO program can be tricky and time-consuming for the programmer. In this paper we introduce several parallel functional skeletons which, given a sequential PSO implementation, automatically provide the corresponding parallel implementations of it. We use these skeletons and report some experimental results. We observe that, despite the low effort required by programmers to use these skeletons, empirical results show that skeletons reach reasonable speedups.

  10. Dynamic programming approach to optimization of approximate decision rules

    KAUST Repository

    Amin, Talha

    2013-02-01

    This paper is devoted to the study of an extension of dynamic programming approach which allows sequential optimization of approximate decision rules relative to the length and coverage. We introduce an uncertainty measure R(T) which is the number of unordered pairs of rows with different decisions in the decision table T. For a nonnegative real number β, we consider β-decision rules that localize rows in subtables of T with uncertainty at most β. Our algorithm constructs a directed acyclic graph Δβ(T) which nodes are subtables of the decision table T given by systems of equations of the kind "attribute = value". This algorithm finishes the partitioning of a subtable when its uncertainty is at most β. The graph Δβ(T) allows us to describe the whole set of so-called irredundant β-decision rules. We can describe all irredundant β-decision rules with minimum length, and after that among these rules describe all rules with maximum coverage. We can also change the order of optimization. The consideration of irredundant rules only does not change the results of optimization. This paper contains also results of experiments with decision tables from UCI Machine Learning Repository. © 2012 Elsevier Inc. All rights reserved.

  11. Optimizing Crawler4j using MapReduce Programming Model

    Science.gov (United States)

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

    2017-06-01

    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.

  12. The effect for Japanese workers of a self-help computerized cognitive behaviour therapy program with a supplement soft drink.

    Science.gov (United States)

    Shirotsuki, Kentaro; Nonaka, Yuji; Abe, Keiichi; Adachi, So-Ichiro; Adachi, Shohei; Kuboki, Tomifusa; Nakao, Mutsuhiro

    2017-01-01

    Computerized cognitive behaviour therapy (CCBT) programs can provide a useful self-help approach to the treatment of psychological problems. Previous studies have shown that CCBT has moderate effects on depression, insomnia, and anxiety. The present study investigated whether a supplement drink that includes L-carnosine enhances the effect of CCBT on psychological well-being. Eighty-seven participants were randomly allocated to a control group, CCBT, or CCBT with supplement drink. The CCBT and CCBT with supplement drink groups received six weekly self-help CCBT program instalments, which consisted of psycho-education about stress management and coping, behaviour activation, and cognitive restructuring. The CCBT group consumed a bottle of the supplement soft drink every morning through the 6 weeks. This program was delivered by an e-learning system on demand and also included a self-help guidebook. Seventy-two participants completed the program or were assess at the end of the study. ANOVA revealed that there were significant interactions (times × groups) for POMS tension-anxiety and fatigue. The CCBT group showed significantly improved tension-anxiety scores, whereas the CCBT with drink group showed significant improvements on fatigue. The self-help CCBT program reduced the subjective experience of tension-anxiety in this group of workers. The addition of a supplement drink enhanced the effect of CCBT on fatigue, providing one possible approach to enhancement of such programs. This study was registered on September 2, 2016 at UMIN. The registration number is UMIN000023903.

  13. Predicting likelihood of seeking help through the employee assistance program among salaried and union hourly employees.

    Science.gov (United States)

    Delaney, W; Grube, J W; Ames, G M

    1998-03-01

    This research investigated belief, social support and background predictors of employee likelihood to use an Employee Assistance Program (EAP) for a drinking problem. An anonymous cross-sectional survey was administered in the home. Bivariate analyses and simultaneous equations path analysis were used to explore a model of EAP use. Survey and ethnographic research were conducted in a unionized heavy machinery manufacturing plant in the central states of the United States. A random sample of 852 hourly and salaried employees was selected. In addition to background variables, measures included: likelihood of going to an EAP for a drinking problem, belief the EAP can help, social support for the EAP from co-workers/others, belief that EAP use will harm employment, and supervisor encourages the EAP for potential drinking problems. Belief in EAP efficacy directly increased the likelihood of going to an EAP. Greater perceived social support and supervisor encouragement increased the likelihood of going to an EAP both directly and indirectly through perceived EAP efficacy. Black and union hourly employees were more likely to say they would use an EAP. Males and those who reported drinking during working hours were less likely to say they would use an EAP for a drinking problem. EAP beliefs and social support have significant effects on likelihood to go to an EAP for a drinking problem. EAPs may wish to focus their efforts on creating an environment where there is social support from coworkers and encouragement from supervisors for using EAP services. Union networks and team members have an important role to play in addition to conventional supervisor intervention.

  14. Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers

    Directory of Open Access Journals (Sweden)

    Sukhpreet Kaur Sidhu

    2014-01-01

    Full Text Available The drawbacks of the existing methods to obtain the fuzzy optimal solution of such linear programming problems, in which coefficients of the constraints are represented by real numbers and all the other parameters as well as variables are represented by symmetric trapezoidal fuzzy numbers, are pointed out, and to resolve these drawbacks, a new method (named as Mehar method is proposed for the same linear programming problems. Also, with the help of proposed Mehar method, a new method, much easy as compared to the existing methods, is proposed to deal with the sensitivity analysis of the same type of linear programming problems.

  15. Helping families change: The adoption of the Triple P - Positive Parenting Program in the Netherlands

    NARCIS (Netherlands)

    de Graaf, I.M.

    2009-01-01

    In this thesis the implementation of the evidence-based Triple P Positive Parenting Program in the Netherlands was examined. Because parenting is associated with the wellbeing of children, parenting programs are developed to address the child problems. Among all developed parenting programs, the

  16. Aether: Leveraging Linear Programming For Optimal Cloud Computing In Genomics.

    Science.gov (United States)

    Luber, Jacob M; Tierney, Braden T; Cofer, Evan M; Patel, Chirag J; Kostic, Aleksandar D

    2017-12-08

    Across biology we are seeing rapid developments in scale of data production without a corresponding increase in data analysis capabilities. Here, we present Aether (http://aether.kosticlab.org), an intuitive, easy-to-use, cost-effective, and scalable framework that uses linear programming (LP) to optimally bid on and deploy combinations of underutilized cloud computing resources. Our approach simultaneously minimizes the cost of data analysis and provides an easy transition from users' existing HPC pipelines. Data utilized are available at https://pubs.broadinstitute.org/diabimmune and with EBI SRA accession ERP005989. Source code is available at (https://github.com/kosticlab/aether). Examples, documentation, and a tutorial are available at (http://aether.kosticlab.org). chirag_patel@hms.harvard.edu and aleksandar.kostic@joslin.harvard.edu. Supplementary data are available at Bioinformatics online.

  17. Schedule Optimization Study, Hanford RI/FS Program

    Energy Technology Data Exchange (ETDEWEB)

    1992-12-01

    A Schedule Optimization Study (SOS) of the US Department of Energy (DOE) Hanford Site Remedial Investigation/Feasibility Study (RI/FS) Program was conducted by an independent team of professionals from other federal agencies and the private sector experienced in environmental restoration. This team spent two weeks at Hanford in September 1992 examining the reasons for the lengthy RI/FS process at Hanford and developing recommendations to expedite the process. The need for the study arose out of a schedule dispute regarding the submission of the 1100-EM-1 Operable Unit RI/FS Work Plan. This report documents the study called for in the August 29, 1991, Dispute Resolution Committee Decision Statement. Battelle's Environmental Management Operations (EMO) coordinated the effort for DOE's Richland Field Office (RL).

  18. Optimization of decision rules based on dynamic programming approach

    KAUST Repository

    Zielosko, Beata

    2014-01-14

    This chapter is devoted to the study of an extension of dynamic programming approach which allows optimization of approximate decision rules relative to the length and coverage. We introduce an uncertainty measure that is the difference between number of rows in a given decision table and the number of rows labeled with the most common decision for this table divided by the number of rows in the decision table. We fix a threshold γ, such that 0 ≤ γ < 1, and study so-called γ-decision rules (approximate decision rules) that localize rows in subtables which uncertainty is at most γ. Presented algorithm constructs a directed acyclic graph Δ γ T which nodes are subtables of the decision table T given by pairs "attribute = value". The algorithm finishes the partitioning of a subtable when its uncertainty is at most γ. The chapter contains also results of experiments with decision tables from UCI Machine Learning Repository. © 2014 Springer International Publishing Switzerland.

  19. Designing, programming, and optimizing a (small) quantum computer

    Science.gov (United States)

    Svore, Krysta

    In 1982, Richard Feynman proposed to use a computer founded on the laws of quantum physics to simulate physical systems. In the more than thirty years since, quantum computers have shown promise to solve problems in number theory, chemistry, and materials science that would otherwise take longer than the lifetime of the universe to solve on an exascale classical machine. The practical realization of a quantum computer requires understanding and manipulating subtle quantum states while experimentally controlling quantum interference. It also requires an end-to-end software architecture for programming, optimizing, and implementing a quantum algorithm on the quantum device hardware. In this talk, we will introduce recent advances in connecting abstract theory to present-day real-world applications through software. We will highlight recent advancement of quantum algorithms and the challenges in ultimately performing a scalable solution on a quantum device.

  20. Developing optimal nurses work schedule using integer programming

    Science.gov (United States)

    Shahidin, Ainon Mardhiyah; Said, Mohd Syazwan Md; Said, Noor Hizwan Mohamad; Sazali, Noor Izatie Amaliena

    2017-08-01

    Time management is the art of arranging, organizing and scheduling one's time for the purpose of generating more effective work and productivity. Scheduling is the process of deciding how to commit resources between varieties of possible tasks. Thus, it is crucial for every organization to have a good work schedule for their staffs. The job of Ward nurses at hospitals runs for 24 hours every day. Therefore, nurses will be working using shift scheduling. This study is aimed to solve the nurse scheduling problem at an emergency ward of a private hospital. A 7-day work schedule for 7 consecutive weeks satisfying all the constraints set by the hospital will be developed using Integer Programming. The work schedule for the nurses obtained gives an optimal solution where all the constraints are being satisfied successfully.

  1. Using Visual Programming and Robots to Help Novices to Overcome Fear of Coding

    DEFF Research Database (Denmark)

    Chongtay, R.

    2016-01-01

    Learning a computer programming language can be an intimidating experience for most novices. At first glance, the lines of code of a programming language can look like a very complex syntax and together with the abstract concepts involved can represent barriers that for some turn into fear...... of coding . This paper presents and instructional design aimed to introduce students to the basic concepts of programming using visual programming alone as well as visual programming to program robots. Furthermore, the instructional design was applied in a case study: an introductory programming course......, surprise and fear. The results are analyzed and discussed in relation to the influence on students’ ability to overcome the barriers mentioned above as well as students’ learning experience....

  2. Dynamic programming approach for partial decision rule optimization

    KAUST Repository

    Amin, Talha

    2012-10-04

    This paper is devoted to the study of an extension of dynamic programming approach which allows optimization of partial decision rules relative to the length or coverage. We introduce an uncertainty measure J(T) which is the difference between number of rows in a decision table T and number of rows with the most common decision for T. For a nonnegative real number γ, we consider γ-decision rules (partial decision rules) that localize rows in subtables of T with uncertainty at most γ. Presented algorithm constructs a directed acyclic graph Δ γ(T) which nodes are subtables of the decision table T given by systems of equations of the kind "attribute = value". This algorithm finishes the partitioning of a subtable when its uncertainty is at most γ. The graph Δ γ(T) allows us to describe the whole set of so-called irredundant γ-decision rules. We can optimize such set of rules according to length or coverage. This paper contains also results of experiments with decision tables from UCI Machine Learning Repository.

  3. HVAC system optimization for energy management by evolutionary programming

    Energy Technology Data Exchange (ETDEWEB)

    Fong, K.F.; Chow, T.T. [City University of Hong Kong, Kowloon (China). Division of Building Science and Technology; Hanby, V.I. [De Montfort Univ., Leicester (United Kingdom). Inst. of Energy and Sustainable Development

    2006-03-15

    Energy management of heating, ventilating and air-conditioning (HVAC) systems is a primary concern in building projects, since the energy consumption in electricity has the highest percentage in HVAC among all building services installations and electric appliances. Without sacrifice of thermal comfort, to reset the suitable operating parameters, such as the chilled water temperature and supply air temperature, would have energy saving with immediate effect. For the typical commercial building projects, it is not difficult to acquire the reference settings for efficient operation. However, for some special projects, due to the specific design and control of the HVAC system, conventional settings may not be necessarily energy-efficient in daily operation. In this paper, the simulation-optimization approach was proposed for the effective energy management of HVAC system. Due to the complicated interrelationship of the entire HVAC system, which commonly includes the water side and air side systems, it is necessary to suggest optimum settings for different operations in response to the dynamic cooling loads and changing weather conditions throughout a year. A metaheuristic simulation-EP (evolutionary programming) coupling approach was developed using evolutionary programming, which can effectively handle the discrete, non-linear and highly constrained optimization problems, such as those related to HVAC systems. The effectiveness of this simulation-EP coupling suite was demonstrated through the establishment of a monthly optimum reset scheme for both the chilled water and supply air temperatures of the HVAC installations of a local project. This reset scheme would have a saving potential of about 7% as compared to the existing operational settings, without any extra cost. (author)

  4. Predictors of participant retention in a guided online self-help program for university students: prospective cohort study.

    Science.gov (United States)

    Wojtowicz, Magdalena; Day, Victor; McGrath, Patrick J

    2013-05-22

    Attrition is a persistent issue in online self-help programs, but limited research is available on reasons for attrition or successful methods for improving participant retention. One potential approach to understanding attrition and retention in such programs is to examine person-related variables (eg, beliefs and attitudes) that influence behavior. Theoretical models, such as the Theory of Planned Behavior, that describe conditions influencing human behavior may provide a useful framework for predicting participant retention in online-based program. We examined predictors of participant retention in a guided online anxiety, depression, and stress self-help program for university students using the theory of planned behavior. We also explored whether age, symptom severity, and type of coaching (ie, email vs phone) affected participant retention. 65 university students with mild to moderate depression, anxiety, and stress were enrolled in this prospective cohort study. Participants completed a questionnaire based on the theory of planned behavior prior to commencing the online-based program and the Depression Anxiety and Stress Scale (DASS) during the assessment module of the program. Participant retention was operationalized as the number of program modules completed. Perceived control over completing the online program significantly predicted intention to complete the program (F3,62=6.7; P=.001; adjusted R(2)=.2; standardized beta=.436, P=.001). Age (standardized beta=.319, P=.03) and perceived behavioral control (standardized beta=.295, P=.05) predicted the number of program modules completed (F3,61=3.20, P=.03, adjusted R(2) =.11). Initial level of distress (ie, symptom severity) did not predict participant retention (P=.55). Participants who chose phone-based coaching completed more program modules than participants who chose email-based coaching (Mann-Whitney's U=137; P=.004). Participants' age, level of perceived behavioral control, and choice of interaction

  5. Developing Culturally Sensitive Parent Education Programs for Immigrant Families: The Helping Youth Succeed Curriculum

    Directory of Open Access Journals (Sweden)

    Zha Blong Xiong

    2007-01-01

    Full Text Available This paper describes the process by which the Helping Youth Succeed (HYS curriculum was developed for Cambodian, Hmong, Lao, and Vietnamese immigrants in the United States to help address and minimize conflicts between immigrant parents and their adolescent children. A detailed explanation of this model is provided to encourage the development of additional culturally specific parent education curricula for other immigrant/refugee groups and/or diversepopulations.

  6. Family Assessment/Treatment/Evaluation Methods Integrated for Helping Teen Suicide Attempters/Families in Short Term Psychiatric Hospitalization Programs.

    Science.gov (United States)

    Shepard, Suzanne

    The assessment process can be integrated with treatment and evaluation for helping teenage suicide attempters and families in short term psychiatric hospitalization programs. The method is an extremely efficient way for the therapist to work within a given time constraint. During family assessment sufficient information can be gathered to…

  7. Cultural Adaptation of a Cognitive Behavior Therapy Guided Self-Help Program for Mexican American Women with Binge Eating Disorders

    Science.gov (United States)

    Shea, Munyi; Cachelin, Fary; Uribe, Luz; Striegel, Ruth H.; Thompson, Douglas; Wilson, G. Terence

    2012-01-01

    Data on the compatibility of evidence-based treatment in ethnic minority groups are limited. This study utilized focus group interviews to elicit Mexican American women's (N = 12) feedback on a cognitive behavior therapy guided self-help program for binge eating disorders. Findings revealed 6 themes to be considered during the cultural adaptation…

  8. Helping families change: The adoption of the Triple P - Positive Parenting Program in the Netherlands

    OpenAIRE

    de Graaf, I.M.

    2009-01-01

    In this thesis the implementation of the evidence-based Triple P Positive Parenting Program in the Netherlands was examined. Because parenting is associated with the wellbeing of children, parenting programs are developed to address the child problems. Among all developed parenting programs, the Behavioral Family Interventions (BFI) have the strongest empirical evidence. The aim of Triple P is to prevent and offer treatment for mild and severe behavioral, emotional and developmental problems ...

  9. Implementation of an after-school obesity prevention program: helping young children toward improved health.

    Science.gov (United States)

    Nabors, Laura; Burbage, Michelle; Woodson, Kenneth D; Swoboda, Christopher

    2015-03-01

    Obesity prevention programs that are delivered in after-school programs are needed as a focus on curriculum can make it difficult to include this health programming during the school day. The current study examined the implementation of 2 pilot programs in different after-school programs for young children. There were 36 children in the intervention groups and 18 children in comparison groups. Children learned about healthy eating and increasing involvement in physical activity. Lessons were based on the Traffic Light Diet. Results indicated improvement in children's reports of their eating habits. Activity levels improved in 1 school, but not in the other. Parents and children were satisfied with the program and children demonstrated good knowledge of the interventions to promote healthy eating. Future studies should include larger sample sizes and evaluation of the effectiveness of different components of the intervention. Nurses can play a key role in disseminating information and designing and leading after-school programs to improve child knowledge about healthy eating and exercise. Nursing students may also benefit from assisting with conducting these types of programs to improve their experience in health prevention programming.

  10. The effectiveness of school mental health literacy programs to address knowledge, attitudes and help seeking among youth.

    Science.gov (United States)

    Wei, Yifeng; Hayden, Jill A; Kutcher, Stan; Zygmunt, Austin; McGrath, Patrick

    2013-05-01

    Conduct a systematic review for the effectiveness of school mental health literacy programs to enhance knowledge, reduce stigmatizing attitudes and improve help-seeking behaviours among youth (12-25 years of age). Reviewers independently searched PubMed, PsycINFO, Cochrane Library, CINAHL, ERIC, grey literature and reference lists of included studies. They reached a consensus on the included studies, and rated the risk of bias of each study. Studies that reported three outcomes: knowledge acquisition, stigmatizing attitudes and help-seeking behaviours; and were randomized controlled trials (RCTs), cluster RCTs, quasi-experimental studies, and controlled-before-and-after studies, were eligible. This review resulted in 27 articles including 5 RCTs, 13 quasi-experimental studies, and 9 controlled-before-and-after studies. Whereas most included studies claimed school-based mental health literacy programs improve knowledge, attitudes and help-seeking behaviour, 17 studies met criteria for high risk of bias, 10 studies for moderate risk of bias, and no studies for low risk of bias. Common limitations included the lack of randomization, control for confounding factors, validated measures and report on attrition in most studies. The overall quality of the evidence for knowledge and help-seeking behaviour outcomes was very low, and low for the attitude outcome. Research into school-based mental health literacy is still in its infancy and there is insufficient evidence to claim for positive impact of school mental health literacy programs on knowledge improvement, attitudinal change or help-seeking behaviour. Future research should focus on methods to appropriately determine the evidence of effectiveness on school-based mental health literacy programs, considering the values of both RCTs and other research designs in this approach. Educators should consider the strengths and weaknesses of current mental health literacy programs to inform decisions regarding possible

  11. How to Help Unemployed Find Jobs Quickly : Experimental Evidence from a Mandatory Activation Program

    NARCIS (Netherlands)

    Graversen, B.K.; van Ours, J.C.

    2006-01-01

    This paper investigates how a mandatory activation program in Denmark affects the job finding rate of unemployed workers.The activation program was introduced in an experimental setting where about half of the workers who became unemployed in the period from November 2005 to March 2006 were randomly

  12. A High School Program in Human Ecology: Helping Everyone Live Productively. Student Handbook.

    Science.gov (United States)

    Brandywine School District, Claymont, DE.

    The program's goal is to provide high school students an opportunity to become an active force in the advancement of the human condition and to develop positive attitudes to improve their effectiveness in dealing with their environment. The student handbook consists of eight chapters, including an introduction to the program in chapter I. Chapter…

  13. Bystander intervention and litter control: Evaluation of an appeal-to-help program.

    Science.gov (United States)

    Harriet H. Christensen

    1981-01-01

    Managers of public recreation areas are concerned about increases in vandalism and disregard for regulations and the rights of others by some users. Other than the litter incentive program, none of the approaches for reducing violations have been evaluated or proved effective. The present study evaluated a program to increase involvement of campers in the management of...

  14. The Meyerhoff Way: How the Meyerhoff Scholarship Program Helps Black Students Succeed in the Sciences.

    Science.gov (United States)

    Stolle-McAllister, Kathy; Sto Domingo, Mariano R; Carrillo, Amy

    2011-02-01

    The Meyerhoff Scholarship Program (MSP) is widely recognized for its comprehensive approach of integrating students into the science community. The supports provided by the program aim to develop students, primarily Blacks, into scientists by offering them academic, social, and professional opportunities to achieve their academic and career goals. The current study allowed for a rich understanding of the perceptions of current Meyerhoff students and Meyerhoff alumni about how the program works. Three groups of MSP students were included in the study: 1) new Meyerhoff students participating in Summer Bridge (n=45), 2) currently enrolled Meyerhoff students (n=92), and 3) graduates of the MSP who were currently enrolled in STEM graduate studies or had completed an advanced STEM degree (n=19). Students described the importance of several key aspects of the Meyerhoff Scholars Program: financial support, the Summer Bridge Program, formation of Meyerhoff identity, belonging to the Meyerhoff family, and developing networks - all of which serve to integrate students both academically and socially.

  15. Help Wanted: American Drone Program Needs Multifaceted Support to be Effective

    OpenAIRE

    Hall, S

    2014-01-01

    The U.S. drone program in Pakistan faces strong resistance in Pakistan. Because the program solely seeks to eliminate terrorist groups and leaders through bombing campaigns, with no built in social support, the local population’s anti-American sentiment has reached the highest level in history. This angry mood against U.S. drone programs is spreading throughout the Islamic world. To counter this anti-American sentiment, and increase the drone program’s effectiveness, the U.S. must invest in m...

  16. New Utah program helps curb runaway costs associated with chronic pain.

    Science.gov (United States)

    2006-10-01

    Take steps to address chronic pain now. Why? Because it's costing the United States 120 billion dollars per year, and much of this expense is due to patients bouncing from clinician to clinician without ever finding relief. Some healthcare organizations and individual practitioners successfully address the problem by taking a multidisciplinary approach to care and equipping patients with strategies to help them take charge.

  17. Helping Children Succeed after Divorce: Building a Community-based Program in a Rural County.

    Science.gov (United States)

    Johnson, Diane E.

    2000-01-01

    A court-mandated parent education course aimed at reducing effects of divorce on children was evaluated by 1,400 participants over 5 years. Most respondents highly recommended the course and said it helped them become aware of their children's point of view and how to prevent long-term emotional problems. (SK)

  18. Acceptance and efficacy of a guided internet self-help treatment program for obese patients with binge eating disorder.

    Science.gov (United States)

    Carrard, Isabelle; Crépin, Christelle; Rouget, Patrick; Lam, Tony; Van der Linden, Martial; Golay, Alain

    2011-03-04

    A significant percentage of obese patients suffer from binge eating disorder (BED), with negative consequences on psychological health, quality of life, weight loss treatment and maintenance. Cognitive behavioral therapy (CBT), delivered in traditional or self-help format, is effective in reducing BED symptoms. To improve dissemination, a self-help treatment program composed of eleven CBT based modules was implemented on the Internet and evaluated in a population of adult obese patients with BED. Forty-two obese BED patients wait-listed for a multi-disciplinary obesity treatment took part in the study. Twenty-two patients completing the six-month online guided self-help treatment program were compared to a control group of twenty patients without intervention. Both groups were evaluated before and after six months of Internet self-help treatment or waiting list. A follow-up evaluation was carried out six months later. Participants in the online self-help treatment program showed higher binge eating abstinence rates, lower EDE-Q shape and weight concerns, and improved TFEQ disinhibition of eating and hunger scores compared to the control group. They also scored better on psychological health and quality of life measures after intervention, and gains were maintained at follow-up. No effect was found regarding BMI. The number of modules completed was correlated with a better quality of life improvement at post evaluation. Participants rated the program as useful and easy to use. The Internet seems to be a valuable tool for disseminating CBT for BED obese patients. Acceptance of new technology was good in this population. Further research is needed with a larger sample to corroborate these results.

  19. Helping War Veterans with Posttraumatic Stress Disorder: Incarcerated Individuals' Role in Therapeutic Animal Programs.

    Science.gov (United States)

    Furst, Gennifer

    2016-05-01

    A grassroots movement of nonprofit, nongovernmental organizations is creating programs in which incarcerated individuals train rescued shelter dogs as therapeutic canines for Veterans with posttraumatic stress disorder (PTSD). Driven in part by reports of Veterans not receiving adequate treatment for PTSD, the programs are the latest iteration of prison-based animal programs and are founded on the principles of animal therapy and healing powers of animals. The far-reaching and deleterious collateral consequences of PTSD create social and economic burdens on the country; providing beneficial interventions for Veterans is a pressing social problem. Without oversight, a patchwork of agencies has developed that provides Veterans with dogs with varying levels of training and differing abilities. To best serve the needs of Veterans, the programs need regulation and standardized methods of training. [Journal of Psychosocial Nursing and Mental Health Services, 54(5), 49-57.]. Copyright 2016, SLACK Incorporated.

  20. How the CATCH eat smart program helps implement the USDA regulations in school cafeterias.

    Science.gov (United States)

    Hoelscher, Deanna M; Mitchell, Paul; Dwyer, Johanna; Elder, John; Clesi, Ann; Snyder, Patricia

    2003-08-01

    This article describes the implementation of the U.S. Department of Agriculture's National School Lunch Program (NSLP) standards in school lunch menus in 56 intervention and 20 control schools from the Child and Adolescent Trial for Cardiovascular Health (CATCH) 5 years after the main trial, compared with 12 schools previously unexposed to CATCH. School food service personnel completed questionnaires to assess CATCH guideline implementation, demographic data, behavioral constructs, training, program material use, and participation in competing programs. Five days of menus and recipes were collected from school cafeteria staff, averaged, and compared to USDA School Meal Initiative (SMI) standards. Significant differences between intervention and unexposed schools were found for training and knowledge of CATCH and in mean percentage energy from fat and carbohydrates. Intervention schools most closely met USDA SMI recommendations for fat. Thus, the CATCH Eat Smart Program assisted school cafeterias in meeting USDA guidelines 5 years postimplementation.

  1. A Mentoring Program to Help Junior Faculty Members Achieve Scholarship Success

    Science.gov (United States)

    2014-01-01

    The University of North Carolina Eshelman School of Pharmacy launched the Bill and Karen Campbell Faculty Mentoring Program (CMP) in 2006 to support scholarship-intensive junior faculty members. This report describes the origin, expectations, principles, and best practices that led to the introduction of the program, reviews the operational methods chosen for its implementation, provides information about its successes, and analyzes its strengths and limitations. PMID:24672062

  2. A mentoring program to help junior faculty members achieve scholarship success.

    Science.gov (United States)

    Kohn, Harold

    2014-03-12

    The University of North Carolina Eshelman School of Pharmacy launched the Bill and Karen Campbell Faculty Mentoring Program (CMP) in 2006 to support scholarship-intensive junior faculty members. This report describes the origin, expectations, principles, and best practices that led to the introduction of the program, reviews the operational methods chosen for its implementation, provides information about its successes, and analyzes its strengths and limitations.

  3. Improving programming skills of Mechanical Engineering students by teaching in C# multi-objective optimizations methods

    National Research Council Canada - National Science Library

    Adrian Florea; Ileana Ioana Cofaru

    2017-01-01

    .... This paper represents a software development guide for designers of suspension systems with less programming skills that will enable them to implement their own optimization methods that improve...

  4. Help Wanted: American Drone Program Needs Multifaceted Support to be Effective

    Directory of Open Access Journals (Sweden)

    S. Hall

    2014-12-01

    Full Text Available The U.S. drone program in Pakistan faces strong resistance in Pakistan. Because the program solely seeks to eliminate terrorist groups and leaders through bombing campaigns, with no built in social support, the local population’s anti-American sentiment has reached the highest level in history. This angry mood against U.S. drone programs is spreading throughout the Islamic world. To counter this anti-American sentiment, and increase the drone program’s effectiveness, the U.S. must invest in multifaceted, socio-economic support efforts to educate the population and rebuild the gratuity, trust, and commitment of Pakistan’s people to the “War on Terror.”

  5. The danger of unrealistic optimism - linking cargivers' perceived ability to help victims of terror with their own secondary trauma

    NARCIS (Netherlands)

    Shalvi, S.; Shenkman, G.; Handgraaf, M.J.J.; Dreu, De C.K.W.

    2011-01-01

    This study examined how caregivers' biased perceptions of ability to help traumatized patients relates to the caregivers' secondary traumatic stress (STS). There is reason to believe that caregivers overestimate their ability to help and underestimate their vulnerability to develop STS, but it is

  6. A Case Study of Mentor-to-mentee Program to Help African American Males Graduate from High School

    OpenAIRE

    Peter P. KIRIAKIDIS; Mary E. JENKINS-WILLIAMS

    2015-01-01

    The problem at the research site, which was one high school within a school district located in northeastern U.S., was that the dropout rate of African American high school males was very high. A mentor-to-mentee program had been implemented to help students graduate from high school at the research site. The experiences of young African American males who participated in a mentor-to-mentee program and graduated from high school had not been examined via a case study. The research questions w...

  7. Can Parents Treat their Anxious Child using CBT? A Brief Report of a Self-Help Program

    DEFF Research Database (Denmark)

    Esbjørn, Barbara Hoff; Christiansen, Bianca Munkebo; Walczak, Monika Anna

    2016-01-01

    , and Cool Kids manuals for parents and children. The sample consisted of 20 families, and 17 completed treatment. Results: After treatment, intent-to-treat analyses indicated that 65% of the children were free of all anxiety disorders. The corresponding figure for completers was 76.5%. Conclusion: Our...... results suggest that parent-based self-help groups focusing on transfer of control may be a cost-effective way of providing treatment to children with moderate anxiety......Objective: We developed and tested a self-help program with minimal therapist involvement for parents of anxious children. Method: The program focused on transfer of control from therapist to parents of children with moderate anxiety, and consisted of two therapist-led workshops, a Facebook group...

  8. Pareto Optimal Solution Analysis of Convex Multi-Objective Programming Problem

    OpenAIRE

    Li Guo Zhang; Hua Zuo

    2013-01-01

    The main method of solving multi-objective programming is changing multi-objective programming problem into single objective programming problem, and then get Pareto optimal solution. Conversely, whether all Pareto optimal solutions can be obtained through appropriate method, generally the answer is negative. In this paper, the methods of norm ideal point and membership function are used to solve the multi-objective programming problem. In norm ideal point method, norm and ideal point are giv...

  9. Optimization with PDE constraints ESF networking program 'OPTPDE'

    CERN Document Server

    2014-01-01

    This book on PDE Constrained Optimization contains contributions on the mathematical analysis and numerical solution of constrained optimal control and optimization problems where a partial differential equation (PDE) or a system of PDEs appears as an essential part of the constraints. The appropriate treatment of such problems requires a fundamental understanding of the subtle interplay between optimization in function spaces and numerical discretization techniques and relies on advanced methodologies from the theory of PDEs and numerical analysis as well as scientific computing. The contributions reflect the work of the European Science Foundation Networking Programme ’Optimization with PDEs’ (OPTPDE).

  10. Stereotype Threat-Based Diversity Programming: Helping Students While Empowering and Respecting Faculty

    Science.gov (United States)

    Artze-Vega, Isis; Richardson, Leslie; Traxler, Adrienne

    2014-01-01

    As college student populations grow increasingly diverse, centers for teaching and learning are often charged with promoting inclusive teaching practices. Yet faculty cite many affective barriers to diversity training, and we often preach to the choir. These challenges led us to seek alternate routes for diversity programming, and stereotype…

  11. Helping people with a mental illness obtain work: the Health Optimisation Program for Employment.

    Science.gov (United States)

    Castle, David; Crosse, Caroline; Morgain, Dea; McDowell, Caitlin; Rossell, Susan; Thomas, Neil; Phillipou, Andrea; Gilbert, Monica; Moore, Gaye; Fossey, Ellie; Harvey, Carol

    2016-08-01

    Inclusion in work and education remains problematic for many people with a mental illness. We describe a structured programme - the Health Optimisation Program for Employment - that supported people with a mental illness to gain employment or commence studies. Twenty hours of the Health Optimisation Program for Employment were delivered to 600 individuals. Participants were asked to complete an evaluation survey encompassing vocational status and ratings of self-efficacy. Of the 364 participants who completed the baseline assessment, 168 responded to the evaluation survey 6 months after the delivery of the Health Optimisation Program for Employment. Of these, 21.5% had started a new job, while a further 42.8% were either volunteering or studying. Satisfaction with the programme was high and self-efficacy ratings improved significantly over the short term only. The Health Optimisation Program for Employment requires further evaluation using rigorous scientific methodology but these initial results are encouraging in terms of vocational attainment for people with a mental illness, in the Australian context. © The Royal Australian and New Zealand College of Psychiatrists 2016.

  12. An Extension Education Program to Help Local Governments with Flood Adaptation

    Science.gov (United States)

    Gary, Gretchen; Allred, Shorna; LoGiudice, Elizabeth

    2014-01-01

    Education is an important tool to increase the capacity of local government officials for community flood adaptation. To address flood adaptation and post-flood stream management in municipalities, Cornell Cooperative Extension and collaborators developed an educational program to increase municipal officials' knowledge about how to work…

  13. Easing the Transfer of Students from College to University Programs: How Can Learning Outcomes Help?

    Science.gov (United States)

    Carter, Irene; Coyle, James; Leslie, Donald

    2011-01-01

    Increasingly, students are seeking transfer from college to university educational programs. This challenges universities to assess the effectiveness of transfer policies and also challenges colleges to prepare students for continued education. This paper reviews the various transfer procedures used by Canadian universities, barriers experienced…

  14. When Program Notes Don't Help: Music Descriptions and Enjoyment

    Science.gov (United States)

    Margulis, Elizabeth Hellmuth

    2010-01-01

    The widespread practice of including program notes for classical concerts assumes that extramusical information affects musical experience, but the psychological mechanisms underlying this process are little understood. In this study, 16 people without formal musical training heard excerpts from Beethoven String Quartets prefaced by either a…

  15. Comprehensive School Physical Activity Programs: Helping All Students Achieve 60 Minutes of Physical Activity Each Day

    Science.gov (United States)

    Elliot, Eloise; Erwin, Heather; Hall, Tina; Heidorn, Brent

    2013-01-01

    The American Alliance for Health, Physical Education, Recreation and Dance recommends that all schools implement a comprehensive school physical activity program. Physical activity is important to the overall health and well-being of everyone, including all school age children. The benefits of physical activity are well documented and include the…

  16. Extension's Efforts to Help Kids Be SAFE: Evaluation of a Statewide Bullying Prevention Program

    Science.gov (United States)

    Duke, Adrienne; Norton, Jessica

    2017-01-01

    The evaluation reported in this article examined the effectiveness of a statewide bullying prevention program, Be SAFE. Be SAFE involves use of a positive youth development approach to influence peer groups rather than individual bullies or victims. Through the use of pre- and postprogram questionnaires, we found increases in youths' knowledge of…

  17. Helping Head Start Parents Promote Their Children’s Kindergarten Adjustment: The REDI Parent Program

    Science.gov (United States)

    Bierman, Karen L.; Welsh, Janet A.; Heinrichs, Brenda S.; Nix, Robert L.; Mathis, Erin T.

    2015-01-01

    Head Start enhances school readiness during preschool, but effects diminish after children transition into kindergarten. Designed to promote sustained gains, the REDI (Research-based Developmentally Informed) Parent program (REDI-P) provided home visits before and after the kindergarten transition, giving parents evidence-based learning games, interactive stories, and guided pretend play to use with their children. To evaluate impact, 200 4-year-old children in Head Start REDI classrooms were randomly assigned to REDI-P or a comparison condition (mail-home math games). Beyond the effects of the classroom program, REDI-P promoted significant improvements in child literacy skills, academic performance, self-directed learning, and social competence, demonstrating the utility of the approach in promoting gains in cognitive and social-emotional skills evident after the transition into kindergarten. PMID:26494108

  18. Can wide consultation help with setting priorities for large-scale biodiversity monitoring programs?

    Directory of Open Access Journals (Sweden)

    Frédéric Boivin

    Full Text Available Climate and other global change phenomena affecting biodiversity require monitoring to track ecosystem changes and guide policy and management actions. Designing a biodiversity monitoring program is a difficult task that requires making decisions that often lack consensus due to budgetary constrains. As monitoring programs require long-term investment, they also require strong and continuing support from all interested parties. As such, stakeholder consultation is key to identify priorities and make sound design decisions that have as much support as possible. Here, we present the results of a consultation conducted to serve as an aid for designing a large-scale biodiversity monitoring program for the province of Québec (Canada. The consultation took the form of a survey with 13 discrete choices involving tradeoffs in respect to design priorities and 10 demographic questions (e.g., age, profession. The survey was sent to thousands of individuals having expected interests and knowledge about biodiversity and was completed by 621 participants. Overall, consensuses were few and it appeared difficult to create a design fulfilling the priorities of the majority. Most participants wanted 1 a monitoring design covering the entire territory and focusing on natural habitats; 2 a focus on species related to ecosystem services, on threatened and on invasive species. The only demographic characteristic that was related to the type of prioritization was the declared level of knowledge in biodiversity (null to high, but even then the influence was quite small.

  19. Easing the burden of stress. A stress management program can help eldercare professionals cope.

    Science.gov (United States)

    Johnson, R P

    1991-01-01

    Healthcare professionals in general, and those who care for the elderly in particular, must cope with a number of stressors in the working environment. Moreover, because care givers tend to put others' needs before their own, they often place an added burden of stress on themselves. Eldercare professionals must often forego the reward of finding a cure for their patients. In addition, the persons they care for can sometimes become overly dependent, depressed, unappreciative, self-centered, and demanding. The daily effort to deflect or diffuse this negative energy can take its toll on care givers, leading to coping deficiencies that themselves increase workplace tension and stress. Not only individuals, but entire departments can develop dysfunctional reactions to stress. To break this vicious cycle and improve workplace morale, facilities can implement stress management programs. As part of such a program, supervisors and managers identify stressors in the environment and suggest ways to alleviate or eliminate their effects. Once morale improves, coordinators should shift the program's focus to maintaining employee morale.

  20. On the Lasserre hierarchy of semidefinite programming relaxations of convex polynomial optimization problems

    NARCIS (Netherlands)

    E. de Klerk (Etienne); M. Laurent (Monique)

    2010-01-01

    htmlabstractThe Lasserre hierarchy of semidefinite programming approximations to convex polynomial optimization problems is known to converge finitely under some assumptions. [J.B. Lasserre. Convexity in semialgebraic geometry and polynomial optimization. SIAM J. Optim. 19, 1995-2014, 2009.] We give

  1. On the Lasserre hierarchy of semidefinite programming relaxations of convex polynomial optimization problems

    NARCIS (Netherlands)

    M. Laurent (Monique); E. de Klerk (Etienne)

    2011-01-01

    htmlabstractThe Lasserre hierarchy of semidenite programming approximations to convex polynomial optimization problems is known to converge nitely under some assumptions. [J.B. Lasserre. Convexity in semialgebraic geometry and polynomial optimization. SIAM J. Optim. 19, 1995{2014,2009.] We give a

  2. On the Lasserre hierarchy of semidefinite programming relaxations of convex polynomial optimization problems

    NARCIS (Netherlands)

    de Klerk, E.; Laurent, M.

    2011-01-01

    The Lasserre hierarchy of semidefinite programming approximations to convex polynomial optimization problems is known to converge finitely under some assumptions. [J. B. Lasserre, Convexity in semialgebraic geometry and polynomial optimization, SIAM J. Optim., 19 (2009), pp. 1995–2014]. We give a

  3. Nutrient profiling can help identify foods of good nutritional quality for their price: a validation study with linear programming.

    Science.gov (United States)

    Maillot, Matthieu; Ferguson, Elaine L; Drewnowski, Adam; Darmon, Nicole

    2008-06-01

    Nutrient profiling ranks foods based on their nutrient content. They may help identify foods with a good nutritional quality for their price. This hypothesis was tested using diet modeling with linear programming. Analyses were undertaken using food intake data from the nationally representative French INCA (enquête Individuelle et Nationale sur les Consommations Alimentaires) survey and its associated food composition and price database. For each food, a nutrient profile score was defined as the ratio between the previously published nutrient density score (NDS) and the limited nutrient score (LIM); a nutritional quality for price indicator was developed and calculated from the relationship between its NDS:LIM and energy cost (in euro/100 kcal). We developed linear programming models to design diets that fulfilled increasing levels of nutritional constraints at a minimal cost. The median NDS:LIM values of foods selected in modeled diets increased as the levels of nutritional constraints increased (P = 0.005). In addition, the proportion of foods with a good nutritional quality for price indicator was higher (P linear programming and the nutrient profiling approaches indicates that nutrient profiling can help identify foods of good nutritional quality for their price. Linear programming is a useful tool for testing nutrient profiling systems and validating the concept of nutrient profiling.

  4. A numerical approach for optimal control model of the convex semi-infinite programming

    Directory of Open Access Journals (Sweden)

    Hamid Rouhparvar

    2015-10-01

    Full Text Available In this paper, convex semi-infinite programming is converted to an optimal control model of neural networks and the optimal control model is solved by iterative dynamic programming method. In final, numerical examples are provided for illustration of the purposed method.

  5. A numerical approach for optimal control model of the convex semi-infinite programming

    Directory of Open Access Journals (Sweden)

    Hamid Rouhparvar

    2015-07-01

    Full Text Available In this paper, convex semi-infinite programming is converted to an optimal control model of neural networks and the optimal control model is solved by iterative dynamic programming method. In final, numerical examples are provided for illustration of the purposed method.

  6. Methods for optimizing over the efficient and weakly efficient sets of an affine fractional vector optimization program

    DEFF Research Database (Denmark)

    Le, T.H.A.; Pham, D. T.; Canh, Nam Nguyen

    2010-01-01

    Both the efficient and weakly efficient sets of an affine fractional vector optimization problem, in general, are neither convex nor given explicitly. Optimization problems over one of these sets are thus nonconvex. We propose two methods for optimizing a real-valued function over the efficient...... and weakly efficient sets of an affine fractional vector optimization problem. The first method is a local one. By using a regularization function, we reformulate the problem into a standard smooth mathematical programming problem that allows applying available methods for smooth programming. In case...... the objective function is linear, we have investigated a global algorithm based upon a branch-and-bound procedure. The algorithm uses Lagrangian bound coupling with a simplicial bisection in the criteria space. Preliminary computational results show that the global algorithm is promising....

  7. Investment in HIV/AIDS programs: Does it help strengthen health systems in developing countries?

    Directory of Open Access Journals (Sweden)

    Kaufman Joan

    2008-09-01

    Full Text Available Abstract Background There is increasing debate about whether the scaled-up investment in HIV/AIDS programs is strengthening or weakening the fragile health systems of many developing countries. This article examines and assesses the evidence and proposes ways forward. Discussion Considerably increased resources have been brought into countries for HIV/AIDS programs by major Global Health Initiatives. Among the positive impacts are the increased awareness of and priority given to public health by governments. In addition, services to people living with HIV/AIDS have rapidly expanded. In many countries infrastructure and laboratories have been strengthened, and in some, primary health care services have been improved. The effect of AIDS on the health work force has been lessened by the provision of antiretroviral treatment to HIV-infected health care workers, by training, and, to an extent, by task-shifting. However, there are reports of concerns, too – among them, a temporal association between increasing AIDS funding and stagnant reproductive health funding, and accusations that scarce personnel are siphoned off from other health care services by offers of better-paying jobs in HIV/AIDS programs. Unfortunately, there is limited hard evidence of these health system impacts. Because service delivery for AIDS has not yet reached a level that could conceivably be considered "as close to Universal Access as possible," countries and development partners must maintain the momentum of investment in HIV/AIDS programs. At the same time, it should be recognized that global action for health is even more underfunded than is the response to the HIV epidemic. The real issue is therefore not whether to fund AIDS or health systems, but how to increase funding for both. Summary The evidence is mixed – mostly positive but some negative – as to the impact on health systems of the scaled-up responses to HIV/AIDS driven primarily by global health partnerships

  8. An algorithm to select the optimal program based on rough sets and fuzzy soft sets.

    Science.gov (United States)

    Wenjun, Liu; Qingguo, Li

    2014-01-01

    Combining rough sets and fuzzy soft sets, we propose an algorithm to obtain the optimal decision program. In this algorithm, firstly, according to fuzzy soft sets, we build up information systems; secondly, we compute the significance of each parameter according to rough set theory; thirdly, combining subjective bias, we give an algorithm to obtain the comprehensive weight of each parameter; at last, we put forward a method to choose the optimal program. Example shows that the optimal algorithm is effective and rational.

  9. A Guided Online and Mobile Self-Help Program for Individuals With Eating Disorders: An Iterative Engagement and Usability Study.

    Science.gov (United States)

    Nitsch, Martina; Dimopoulos, Christina N; Flaschberger, Edith; Saffran, Kristina; Kruger, Jenna F; Garlock, Lindsay; Wilfley, Denise E; Taylor, Craig B; Jones, Megan

    2016-01-11

    engagement. This study identified salient usability and engagement features associated with participant motivation to use the Healthy Body Image Program and ultimately helped improve the program prior to its implementation. This research demonstrates that improvements in usability and engagement can be achieved by testing and adjusting intervention design and content prior to program launch. The results are consistent with related research and reinforce the need for further research to identify usage patterns and effective means for reducing dropout. Digital health research should include usability studies prior to efficacy trials to help create more user-friendly programs that have a higher likelihood of "real-world" adoption.

  10. Regulation of Dynamical Systems to Optimal Solutions of Semidefinite Programs: Algorithms and Applications to AC Optimal Power Flow

    Energy Technology Data Exchange (ETDEWEB)

    Dall' Anese, Emiliano; Dhople, Sairaj V.; Giannakis, Georgios B.

    2015-07-01

    This paper considers a collection of networked nonlinear dynamical systems, and addresses the synthesis of feedback controllers that seek optimal operating points corresponding to the solution of pertinent network-wide optimization problems. Particular emphasis is placed on the solution of semidefinite programs (SDPs). The design of the feedback controller is grounded on a dual e-subgradient approach, with the dual iterates utilized to dynamically update the dynamical-system reference signals. Global convergence is guaranteed for diminishing stepsize rules, even when the reference inputs are updated at a faster rate than the dynamical-system settling time. The application of the proposed framework to the control of power-electronic inverters in AC distribution systems is discussed. The objective is to bridge the time-scale separation between real-time inverter control and network-wide optimization. Optimization objectives assume the form of SDP relaxations of prototypical AC optimal power flow problems.

  11. Community Health Workers Versus Nurses as Counselors or Case Managers in a Self-Help Diabetes Management Program.

    Science.gov (United States)

    Kim, Kim B; Kim, Miyong T; Lee, Hochang B; Nguyen, Tam; Bone, Lee R; Levine, David

    2016-06-01

    To confirm the effectiveness of community health workers' involvement as counselors or case managers in a self-help diabetes management program in 2009 to 2014. Our open-label, randomized controlled trial determined the effectiveness of a self-help intervention among Korean Americans aged 35 to 80 years in the Baltimore-Washington metropolitan area with uncontrolled type 2 diabetes. We measured and analyzed physiological and psychobehavioral health outcomes of the community health worker-counseled (n = 54) and registered nurse (RN)-counseled (n = 51) intervention groups in comparison with the control group (n = 104). The community health workers' performance was comparable to that of the RNs for both psychobehavioral outcomes (e.g., self-efficacy, quality of life) and physiological outcomes. The community health worker-counseled group showed hemoglobin A1C reductions from baseline (-1.2%, -1.5%, -1.3%, and -1.6%, at months 3, 6, 9, and 12, respectively), all of which were greater than reductions in the RN-counseled (-0.7%, -0.9%, -0.9%, and -1.0%) or the control (-0.5%, -0.5%, -0.6%, and -0.7%) groups. Community health workers performed as well as or better than nurses as counselors or case managers in a self-help diabetes management program in a Korean American community.

  12. Structured Parallel Programming: How Informatics Can Help Overcome the Software Dilemma

    Directory of Open Access Journals (Sweden)

    Helmar Burkhart

    1996-01-01

    Full Text Available The state-of-the-art programming of parallel computers is far from being successful. The main challenge today is, therefore, the development of techniques and tools that improve programmers' productivity. Programmability, portability, and reusability are key issues to be solved. In this article we shall report about our ongoing efforts in this direction. After a short discussion of the software dilemma found today, we shall present the Basel approach. We shall summarize our algorithm description methodology and discuss the basic concepts of the proposed skeleton language. An algorithmic example and comments on implementation aspects will explain our work in more detail. We shall summarize the current state of the implementation and conclude with a discussion of related work.

  13. The Analysis of Heterogeneous Text Documents with the Help of the Computer Program NUD*IST

    Directory of Open Access Journals (Sweden)

    Christine Plaß

    2000-12-01

    Full Text Available On the basis of a current research project we discuss the use of the computer program NUD*IST for the analysis and archiving of qualitative documents. Our project examines the social evaluation of spectacular criminal offenses and we identify, digitize and analyze documents from the entire 20th century. Since public and scientific discourses are examined, the data of the project are extraordinarily heterogeneous: scientific publications, court records, newspaper reports, and administrative documents. We want to show how to transfer general questions into a systematic categorization with the assistance of NUD*IST. Apart from the functions, possibilities and limitations of the application of NUD*IST, concrete work procedures and difficulties encountered are described. URN: urn:nbn:de:0114-fqs0003211

  14. A multiobjective interval programming model for wind-hydrothermal power system dispatching using 2-step optimization algorithm.

    Science.gov (United States)

    Ren, Kun; Jihong, Qu

    2014-01-01

    Wind-hydrothermal power system dispatching has received intensive attention in recent years because it can help develop various reasonable plans to schedule the power generation efficiency. But future data such as wind power output and power load would not be accurately predicted and the nonlinear nature involved in the complex multiobjective scheduling model; therefore, to achieve accurate solution to such complex problem is a very difficult task. This paper presents an interval programming model with 2-step optimization algorithm to solve multiobjective dispatching. Initially, we represented the future data into interval numbers and simplified the object function to a linear programming problem to search the feasible and preliminary solutions to construct the Pareto set. Then the simulated annealing method was used to search the optimal solution of initial model. Thorough experimental results suggest that the proposed method performed reasonably well in terms of both operating efficiency and precision.

  15. A Multiobjective Interval Programming Model for Wind-Hydrothermal Power System Dispatching Using 2-Step Optimization Algorithm

    Directory of Open Access Journals (Sweden)

    Kun Ren

    2014-01-01

    Full Text Available Wind-hydrothermal power system dispatching has received intensive attention in recent years because it can help develop various reasonable plans to schedule the power generation efficiency. But future data such as wind power output and power load would not be accurately predicted and the nonlinear nature involved in the complex multiobjective scheduling model; therefore, to achieve accurate solution to such complex problem is a very difficult task. This paper presents an interval programming model with 2-step optimization algorithm to solve multiobjective dispatching. Initially, we represented the future data into interval numbers and simplified the object function to a linear programming problem to search the feasible and preliminary solutions to construct the Pareto set. Then the simulated annealing method was used to search the optimal solution of initial model. Thorough experimental results suggest that the proposed method performed reasonably well in terms of both operating efficiency and precision.

  16. Promoting dietary change among state health employees in Arkansas through a worksite wellness program: the Healthy Employee Lifestyle Program (HELP).

    Science.gov (United States)

    Perez, Amanda Philyaw; Phillips, Martha M; Cornell, Carol E; Mays, Glen; Adams, Becky

    2009-10-01

    Maintaining a healthy and productive workforce is essential for employers in public and private sectors. Poor nutrition and obesity contribute to chronic diseases and influence health care costs and productivity. Research indicates that eating a healthy diet is associated with lower body mass index and reduced risk for developing chronic disease. The Arkansas Department of Health implemented the Healthy Employee Lifestyle Program to encourage wellness among state health employees. During the pilot year, participants completed a health risk assessment at baseline and again after 1 year that assessed diet and physical activity, other health risk factors, and readiness to make behavioral changes. Participants were encouraged to eat healthfully, participate in regular exercise, report health behaviors using a Web-based reporting system, accumulate points for healthy behaviors, and redeem points for incentives. Differences in participants' (n = 214) reported dietary behaviors between baseline and follow-up were assessed using chi2 analyses and tests of symmetry. Consumption of sweets/desserts, fats, protein, grains, processed meats, and dairy did not differ significantly from baseline to follow-up. However, at follow-up more participants reported eating 3 or more fruits and vegetables per day than at baseline and being in the action and maintenance stages of readiness to change for eating 5 or more fruits and vegetables per day and for eating a diet low in fat. Further study is needed to examine physical activity and other health risk factors to determine whether the program merits a broader dissemination.

  17. European advanced driver training programs: Reasons for optimism

    National Research Council Canada - National Science Library

    Washington, Simon; Cole, Robert J; Herbel, Susan B

    2011-01-01

    Post license advanced driver training programs in the US and early programs in Europe have often failed to accomplish their stated objectives because, it is suspected, that drivers gain self perceived...

  18. Helping patients with diabetes: resources from the National Diabetes Education Program.

    Science.gov (United States)

    Rodgers, Philip T

    2012-01-01

    To familiarize pharmacists with the National Diabetes Education Program (NDEP) and to demonstrate the value of NDEP materials in the care of patients with diabetes. The NDEP website (www.ndep.nih.gov) and PubMed (www.ncbi.nlm.nih.gov/pubmed). NDEP is a collaboration between the National Institutes of Health, Centers for Disease Control and Prevention, and many organization partners. Since 1997, a large number of materials have been created by NDEP using an evidence-based, expert- and patient-reviewed approach to development. Materials are nonbranded and reflect current medical knowledge and practice. Educational materials are available for persons at risk for diabetes, those with diabetes, family members of persons with diabetes, employers, and professionals. The Pharmacy, Podiatry, Optometry, and Dentistry (PPOD) workgroup of NDEP promotes the value of pharmacists and other professionals in diabetes education and management. Resources are available to educate about the value of the PPOD professionals. NDEP provides evidence-based, high-quality educational materials that pharmacists will find useful in the counseling of persons with diabetes.

  19. Engaging adolescents in a computer-based weight management program: avatars and virtual coaches could help.

    Science.gov (United States)

    LeRouge, Cynthia; Dickhut, Kathryn; Lisetti, Christine; Sangameswaran, Savitha; Malasanos, Toree

    2016-01-01

    This research focuses on the potential ability of animated avatars (a digital representation of the user) and virtual agents (a digital representation of a coach, buddy, or teacher) to deliver computer-based interventions for adolescents' chronic weight management. An exploration of the acceptance and desire of teens to interact with avatars and virtual agents for self-management and behavioral modification was undertaken. The utilized approach was inspired by community-based participatory research. Data was collected from 2 phases: Phase 1) focus groups with teens, provider interviews, parent interviews; and Phase 2) mid-range prototype assessment by teens and providers. Data from all stakeholder groups expressed great interest in avatars and virtual agents assisting self-management efforts. Adolescents felt the avatars and virtual agents could: 1) reinforce guidance and support, 2) fit within their lifestyle, and 3) help set future goals, particularly after witnessing the effect of their current behavior(s) on the projected physical appearance (external and internal organs) of avatars. Teens wanted 2 virtual characters: a virtual agent to act as a coach or teacher and an avatar (extension of themselves) to serve as a "buddy" for empathic support and guidance and as a surrogate for rewards. Preferred modalities for use include both mobile devices to accommodate access and desktop to accommodate preferences for maximum screen real estate to support virtualization of functions that are more contemplative and complex (e.g., goal setting). Adolescents expressed a desire for limited co-user access, which they could regulate. Data revealed certain barriers and facilitators that could affect adoption and use. The current study extends the support of teens, parents, and providers for adding avatars or virtual agents to traditional computer-based interactions. Data supports the desire for a personal relationship with a virtual character in support of previous studies. The

  20. Optimal Airport Surface Traffic Planning Using Mixed-Integer Linear Programming

    Directory of Open Access Journals (Sweden)

    P. C. Roling

    2008-01-01

    Full Text Available We describe an ongoing research effort pertaining to the development of a surface traffic automation system that will help controllers to better coordinate surface traffic movements related to arrival and departure traffic. More specifically, we describe the concept for a taxi-planning support tool that aims to optimize the routing and scheduling of airport surface traffic in such a way as to deconflict the taxi plans while optimizing delay, total taxi-time, or some other airport efficiency metric. Certain input parameters related to resource demand, such as the expected landing times and the expected pushback times, are rather difficult to predict accurately. Due to uncertainty in the input data driving the taxi-planning process, the taxi-planning tool is designed such that it produces solutions that are robust to uncertainty. The taxi-planning concept presented herein, which is based on mixed-integer linear programming, is designed such that it is able to adapt to perturbations in these input conditions, as well as to account for failure in the actual execution of surface trajectories. The capabilities of the tool are illustrated in a simple hypothetical airport.

  1. Emotionally Troubled Teens' Help-Seeking Behaviors: An Evaluation of Surviving the Teens® Suicide Prevention and Depression Awareness Program

    Science.gov (United States)

    Strunk, Catherine M.; Sorter, Michael T.; Ossege, Julianne; King, Keith A.

    2014-01-01

    Many school-based suicide prevention programs do not show a positive impact on help-seeking behaviors among emotionally troubled teens despite their being at high risk for suicide. This study is a secondary analysis of the Surviving the Teens® program evaluation to determine its effect on help-seeking behaviors among troubled youth. Results showed…

  2. Effect of combining a health program with a microfinance-based self-help group on health behaviors and outcomes.

    Science.gov (United States)

    Saha, S; Kermode, M; Annear, P L

    2015-11-01

    Women's participation in microfinance-based self-help groups (SHGs) and the resultant social capital may provide a basis to address the gap in health attainment for poor women and their children. We investigated the effect of combining a health program designed to improve health behaviours and outcomes with a microfinance-based SHG program. A mixed method study was conducted among 34 villages selected from three blocks or district subdivisions of India; one in Gujarat, two in Karnataka. A set of 17 villages representing new health program areas were pair-matched with 17 comparison villages. Two rounds of surveys were conducted with a total of 472 respondents, followed by 17 key informant interviews and 17 focus group discussions. Compared to a matched comparison group, women in SHGs that received the health program had higher odds of delivering their babies in an institution (OR: 5.08, 95% CI 1.21-21.35), feeding colostrum to their newborn (OR: 2.83, 95% CI 1.02-5.57), and having a toilet at home (OR: 1.53, 95% CI 0.76-3.09). However, while the change was in the expected direction, there was no statistically significant reduction in diarrhoea among children in the intervention community (OR: 0.86, 95% CI 0.42-1.76), and the hypothesis that the health program would result in decreased out-pocket expenditures on treatment was not supported. Our study found evidence that health programs implemented with microfinance-based SHGs is associated with improved health behaviours. With broad population coverage of SHGs and the social capital produced by their activities, microfinance-based SHGs may provide an avenue for addressing the health needs of poor women. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

  3. Optimization and Modification of the SeaQuest Trigger Efficiency Program

    Science.gov (United States)

    White, Nattapat

    2017-09-01

    The primary purpose E906/SeaQuest is to examine the quark and antiquark distributions within the nucleon. This experiment uses the proton beam from the 120 GeV Fermi National Accelerator Laboratory Main Injector to collide with one of several fixed targets. From the collision, a pair of muons produced by the Drell-Yan process directly probes the nucleon sea antiquarks. The Seaquest spectrometer consists of two focusing magnets, several detectors, and multiple planes of scintillating hodoscopes that helped track and analyze the properties of particles. Hodoscope hits are compared to predetermined hit combinations that would result from a pair of muons that originated in the target. Understanding the trigger efficiency is part of the path to determine the probability of Drell Yan muon pair production in the experiment. Over the years of data taking, the trigger efficiency varied as individual scintillator detection efficiency changed. To accurately determine how the trigger efficiency varied over time, the trigger efficiency program needed to be upgraded to include the effects of inefficiencies in the 284 individual channels in the hodoscope systems. The optimization, modification, and results of the upgraded trigger efficiency program will be presented. Supported by U.S. D.O.E. Medium Energy Nuclear Physics under Grant DE-FG02-03ER41243.

  4. European advanced driver training programs: Reasons for optimism

    Directory of Open Access Journals (Sweden)

    Simon Washington

    2011-03-01

    This paper reviews the predominant features and empirical evidence surrounding post licensing advanced driver training programs focused on novice drivers. A clear articulation of differences between the renewed and current US advanced driver training programs is provided. While the individual quantitative evaluations range from marginally to significantly effective in reducing novice driver crash risk, they have been criticized for evaluation deficiencies ranging from small sample sizes to confounding variables to lack of exposure metrics. Collectively, however, the programs sited in the paper suggest at least a marginally positive effect that needs to be validated with further studies. If additional well controlled studies can validate these programs, a pilot program in the US should be considered.

  5. Optimization of the Hockey Fans in Training (Hockey FIT) weight loss and healthy lifestyle program for male hockey fans.

    Science.gov (United States)

    Blunt, Wendy; Gill, Dawn P; Sibbald, Shannon L; Riggin, Brendan; Pulford, Roseanne W; Scott, Ryan; Danylchuk, Karen; Gray, Cindy M; Wyke, Sally; Bunn, Christopher; Petrella, Robert J

    2017-11-28

    The health outcomes of men continue to be poorer than women globally. Challenges in addressing this problem include difficulties engaging men in weight loss programs as they tend to view these programs as contrary to the masculine narrative of independence and self-reliance. Researchers have been turning towards sports fans to engage men in health promotion programs as sports fans are typically male, and tend to have poor health habits. Developed from the highly successful gender-sensitized Football Fans in Training program, Hockey Fans in Training (Hockey FIT) recruited 80 male hockey fans of the London Knights and Sarnia Sting who were overweight or obese into a weekly, 90-minute classroom education and group exercise program held over 12 weeks; a 40-week minimally-supported phase followed. A process evaluation of the Hockey FIT program was completed alongside a pragmatic randomized controlled trial and outcome evaluation in order to fully explore the acceptability of the Hockey FIT program from the perspectives of coaches delivering and participants engaged in the program. Data sources included attendance records, participant focus groups, coach interviews, assessment of fidelity (program observations and post-session coach reflections), and 12-month participant interviews. Coaches enjoyed delivering the program and found it simple to deliver. Men valued being among others of similar body shape and similar weight loss goals, and found the knowledge they gained through the program helped them to make and maintain health behaviour changes. Suggested improvements include having more hockey-related information and activities, greater flexibility with timing of program delivery, and greater promotion of technology support tools. We confirmed Hockey FIT was an acceptable "gender-sensitized" health promotion program for male hockey fans who were overweight or obese. Minor changes were required for optimization, which will be evaluated in a future definitive trial

  6. Program for the interpretive optimization of two-dimensional resolution

    NARCIS (Netherlands)

    Pirok, B.W.J.; Pous-Torres, S.; Ortiz-Bolsico, C.; Vivó-Truyols, G.; Schoenmakers, P.J.

    2016-01-01

    The challenge of fully optimizing LC × LC separations is horrendous. Yet, it is essential to address this challenge if sophisticated LC × LC instruments are to be utilized to their full potential in an efficient manner. Currently, lengthy method development is a major obstacle to the proliferation

  7. A Linear Programming Reformulation of the Standard Quadratic Optimization Problem

    NARCIS (Netherlands)

    de Klerk, E.; Pasechnik, D.V.

    2005-01-01

    The problem of minimizing a quadratic form over the standard simplex is known as the standard quadratic optimization problem (SQO).It is NPhard, and contains the maximum stable set problem in graphs as a special case.In this note we show that the SQO problem may be reformulated as an (exponentially

  8. Cost analysis of large-scale implementation of the 'Helping Babies Breathe' newborn resuscitation-training program in Tanzania.

    Science.gov (United States)

    Chaudhury, Sumona; Arlington, Lauren; Brenan, Shelby; Kairuki, Allan Kaijunga; Meda, Amunga Robson; Isangula, Kahabi G; Mponzi, Victor; Bishanga, Dunstan; Thomas, Erica; Msemo, Georgina; Azayo, Mary; Molinier, Alice; Nelson, Brett D

    2016-12-01

    Helping Babies Breathe (HBB) has become the gold standard globally for training birth-attendants in neonatal resuscitation in low-resource settings in efforts to reduce early newborn asphyxia and mortality. The purpose of this study was to do a first-ever activity-based cost-analysis of at-scale HBB program implementation and initial follow-up in a large region of Tanzania and evaluate costs of national scale-up as one component of a multi-method external evaluation of the implementation of HBB at scale in Tanzania. We used activity-based costing to examine budget expense data during the two-month implementation and follow-up of HBB in one of the target regions. Activity-cost centers included administrative, initial training (including resuscitation equipment), and follow-up training expenses. Sensitivity analysis was utilized to project cost scenarios incurred to achieve countrywide expansion of the program across all mainland regions of Tanzania and to model costs of program maintenance over one and five years following initiation. Total costs for the Mbeya Region were $202,240, with the highest proportion due to initial training and equipment (45.2%), followed by central program administration (37.2%), and follow-up visits (17.6%). Within Mbeya, 49 training sessions were undertaken, involving the training of 1,341 health providers from 336 health facilities in eight districts. To similarly expand the HBB program across the 25 regions of mainland Tanzania, the total economic cost is projected to be around $4,000,000 (around $600 per facility). Following sensitivity analyses, the estimated total for all Tanzania initial rollout lies between $2,934,793 to $4,309,595. In order to maintain the program nationally under the current model, it is estimated it would cost $2,019,115 for a further one year and $5,640,794 for a further five years of ongoing program support. HBB implementation is a relatively low-cost intervention with potential for high impact on perinatal

  9. A combined stochastic programming and optimal control approach to personal finance and pensions

    DEFF Research Database (Denmark)

    Konicz, Agnieszka Karolina; Pisinger, David; Rasmussen, Kourosh Marjani

    2015-01-01

    The paper presents a model that combines a dynamic programming (stochastic optimal control) approach and a multi-stage stochastic linear programming approach (SLP), integrated into one SLP formulation. Stochastic optimal control produces an optimal policy that is easy to understand and implement...... that among the considered practical constraints, the presence of taxes aects the optimal controls the most. Furthermore, the individual's preferences, such as impatience level and risk aversion, have even a higher impact on the controlled processes than the taxes on capital gains........ Two applications are considered: (A) optimal investment, consumption and insured sum for an individual maximizing the expected utility of consumption and bequest, and (B) optimal investment for a pension saver who wishes to maximize the expected utility of retirement benets. Numerical results show...

  10. Optimal supervisory control of a central chilled water plant with heuristic search sequential quadratic programming

    Science.gov (United States)

    Sun, Jian

    2010-09-01

    A new methodology for adapting rigorous simulation programs to optimal supervisory control of a central chilled water plant is proposed in this article, which solves plant operation mode optimization and set points optimization by combining heuristic search with sequential quadratic programming. The mathematical basis of this algorithm is developed. A new derivative calculation strategy is introduced in set points optimization. This approach is applied to a central chilled water plant which consists of three chillers, two 3-cell cooling towers, three chilled water pumps and three condenser water pumps. Model verification study is performed. The optimal sequence of operation, set points of the decision variables at given load demand and weather condition are calculated. The plant performance and optimal control results are discussed.

  11. INDDGO: Integrated Network Decomposition & Dynamic programming for Graph Optimization

    Energy Technology Data Exchange (ETDEWEB)

    Groer, Christopher S [ORNL; Sullivan, Blair D [ORNL; Weerapurage, Dinesh P [ORNL

    2012-10-01

    It is well-known that dynamic programming algorithms can utilize tree decompositions to provide a way to solve some \\emph{NP}-hard problems on graphs where the complexity is polynomial in the number of nodes and edges in the graph, but exponential in the width of the underlying tree decomposition. However, there has been relatively little computational work done to determine the practical utility of such dynamic programming algorithms. We have developed software to construct tree decompositions using various heuristics and have created a fast, memory-efficient dynamic programming implementation for solving maximum weighted independent set. We describe our software and the algorithms we have implemented, focusing on memory saving techniques for the dynamic programming. We compare the running time and memory usage of our implementation with other techniques for solving maximum weighted independent set, including a commercial integer programming solver and a semi-definite programming solver. Our results indicate that it is possible to solve some instances where the underlying decomposition has width much larger than suggested by the literature. For certain types of problems, our dynamic programming code runs several times faster than these other methods.

  12. Mastering of musical rhythm by pre-school age children with speech disorders with the help of dance-correction program trainings

    Directory of Open Access Journals (Sweden)

    N.B. Petrenko

    2016-08-01

    Full Text Available Introduction: It is known that regular listening to specially selected music develops children’s cognitive abilities. Musical influence optimizes many important functions of brain: increases mental workability; accelerates processing of information; improves short term memory. Besides, sensitivity of visual and hearing analyzers strengthens, as well as regulation of arbitrary movements; indicators of verbal and non verbal intellect improve. Purpose: to determine peculiarities of musical rhythm’s mastering by pre-school age children with speech disorders with the help of dance-correction program trainings. Material: the categories of the tested children: children of age - 4-5 and 5-6 years with speech disorders and healthy pre-school age children. Children of 4-5 years’ age composed: main group (n=12, control group (n=16; group of healthy children (n=24. For assessment of verbal thinking and rhythm-motor (or dance abilities we used complex of tests of constantly increasing difficulty. Results: we found that under influence of dance-correcting exercises activation of rhythm-motor abilities and development of cognitive functions happened in children. We also found main functional peculiarities of musical rhythm’s mastering by pre-school age children. It was determined that by the end of pedagogic experiment, main groups of children approached to groups of healthy peers by all tested characteristics. Conclusions: it is recommended to include correcting components (fit ball - dance gymnastic, tales-therapy, logo-rhythm trainings, and game fitness in trainings by choreographic program.

  13. CALIBRATION, OPTIMIZATION, AND SENSITIVITY AND UNCERTAINTY ALGORITHMS APPLICATION PROGRAMMING INTERFACE (COSU-API)

    Science.gov (United States)

    The Application Programming Interface (API) for Uncertainty Analysis, Sensitivity Analysis, and Parameter Estimation (UA/SA/PE API) tool development, here fore referred to as the Calibration, Optimization, and Sensitivity and Uncertainty Algorithms API (COSU-API), was initially d...

  14. Investigating the Optimal Management Strategy for a Healthcare Facility Maintenance Program

    National Research Council Canada - National Science Library

    Gaillard, Daria

    2004-01-01

    ...: strategic partnering with an equipment management firm. The objective of this study is to create a decision-model for selecting the optimal management strategy for a healthcare organization's facility maintenance program...

  15. Documentation of Calculation Program and Guideline for Optimal Window Design

    DEFF Research Database (Denmark)

    Vanhoutteghem, Lies; Svendsen, Svend

    . A user-friendly calculation program based on simple input data has recently been developed to assist engineers and architects during the process of selecting suitable windows for residential building design. The program is organised in four steps, which together represent an analysis of how windows...... in a specific building design perform with regard to energy consumption, thermal indoor environment, and cost. The analyses in the steps gradually increase in level of detail and support the design decisions throughout the design process. This document presents work done to validate the program and demonstrates...

  16. Helping Citizens Help Themselves : Neighborhood Improvement Programs and the Impact of Social Networks, Trust, and Norms on Neighborhood-Oriented Forms of Participation

    NARCIS (Netherlands)

    Lelieveldt, H.T.

    2004-01-01

    This article analyzes the relationship between social capital and neighborhood-oriented forms of participation within the context of an innovative Dutch neighborhood improvement program. On the basis of a survey among 307 residents, the author studies the link between three dimensions of social

  17. Optimizing the herd calving pattern with linear programming and dynamic probabilistic simulation.

    NARCIS (Netherlands)

    Jalvingh, A.W.; Dijkhuizen, A.A.; Arendonk, van J.A.M.

    1994-01-01

    Until recently, little attention has been paid to the influence of seasonal variation in performance and prices on the optimal calving pattern of a herd. A method was developed to determine the herd calving pattern that is farm-specific and optimal with use of linear programming. The required

  18. Hybrid Nested Partitions and Math Programming Framework for Large-scale Combinatorial Optimization

    Science.gov (United States)

    2010-03-31

    optimization problems: 1) exact algorithms and 2) metaheuristic algorithms. This project will integrate concepts from these two technologies to develop...integer programming decomposition approaches, such as Dantzig Wolfe decomposition and Lagrangian relaxation, and metaheuristics such as the Nested...optimal solutions within an acceptable amount of computation time, and 2) metaheuristic algorithms such as genetic algorithms, tabu search, and the

  19. Improving programming skills of Mechanical Engineering students by teaching in C# multi-objective optimizations methods

    Directory of Open Access Journals (Sweden)

    Florea Adrian

    2017-01-01

    Full Text Available Designing an optimized suspension system that meet the main functions of comfort, safety and handling on poor quality roads is a goal for researchers. This paper represents a software development guide for designers of suspension systems with less programming skills that will enable them to implement their own optimization methods that improve traditional methods by using their domain knowledge.

  20. Affordable Resins and Adhesives From Optimized Soybean Varieties (ARA Program)

    Energy Technology Data Exchange (ETDEWEB)

    Dr. Richard WOol; Dr. X. Susan Sun; Rich Chapas

    2004-04-21

    The Mission of the ARA Program was to develop the Corporate Infrastructure to mass-produce new bio-based materials from Soybeans. The resins were integrated with the bio-fuels program. (1) to research, develop, and commercialize low cost adhesives and resins from soy oil and protein, the co-products of the soy bio-diesel process. (2) to study structure-functionality of soy oil and proteins at molecular and genomic levels

  1. Stochastic optimization in insurance a dynamic programming approach

    CERN Document Server

    Azcue, Pablo

    2014-01-01

    The main purpose of the book is to show how a viscosity approach can be used to tackle control problems in insurance. The problems covered are the maximization of survival probability as well as the maximization of dividends in the classical collective risk model. The authors consider the possibility of controlling the risk process by reinsurance as well as by investments. They show that optimal value functions are characterized as either the unique or the smallest viscosity solution of the associated Hamilton-Jacobi-Bellman equation; they also study the structure of the optimal strategies and show how to find them. The viscosity approach was widely used in control problems related to mathematical finance but until quite recently it was not used to solve control problems related to actuarial mathematical science. This book is designed to familiarize the reader on how to use this approach. The intended audience is graduate students as well as researchers in this area.

  2. ?You Think You?re Helping Them, But They?re Helping You Too?: Experiences of Scottish Male Young Offenders Participating in a Dog Training Program

    OpenAIRE

    Rebecca J. Leonardi; Buchanan-Smith, Hannah M; Gill McIvor; Sarah-Jane Vick

    2017-01-01

    Interaction with animals can be beneficial to humans and animal-assisted interventions (AAIs) are increasingly popular in a range of contexts. Dog training programs (DTPs) are the most popular form of AAI in custodial contexts; prisoners often have multiple needs and DTPs seem to facilitate a diverse range of positive outcomes, including improvements in well-being, behavior, and offending behavior. However, evidence on the efficacy of prison-based DTPs is still limited and these evaluations o...

  3. Optimization Models for Islanded Micro-Grids: A Comparative Analysis between Linear Programming and Mixed Integer Programming

    Directory of Open Access Journals (Sweden)

    Alberto Dolara

    2017-02-01

    Full Text Available This paper presents a comparison of optimization methods applied to islanded micro-grids including renewable energy sources, diesel generators and battery energy storage systems. In particular, a comparative analysis between an optimization model based on linear programming and a model based on mixed integer programming has been carried out. The general formulation of these models has been presented and applied to a real case study micro-grid installed in Somalia. The case study is an islanded micro-grid supplying the city of Garowe by means of a hybrid power plant, consisting of diesel generators, photovoltaic systems and batteries. In both models the optimization is based on load demand and renewable energy production forecast. The optimized control of the battery state of charge, of the spinning reserve and diesel generators allows harvesting as much renewable power as possible or to minimize the use of fossil fuels in energy production.

  4. Cost-Effectiveness of the “Helping Babies Breathe” Program in a Missionary Hospital in Rural Tanzania

    Science.gov (United States)

    Vossius, Corinna; Lotto, Editha; Lyanga, Sara; Mduma, Estomih; Msemo, Georgina; Perlman, Jeffrey; Ersdal, Hege L.

    2014-01-01

    Objective The Helping Babies Breathe” (HBB) program is an evidence-based curriculum in basic neonatal care and resuscitation, utilizing simulation-based training to educate large numbers of birth attendants in low-resource countries. We analyzed its cost-effectiveness at a faith-based Haydom Lutheran Hospital (HLH) in rural Tanzania. Methods Data about early neonatal mortality and fresh stillbirth rates were drawn from a linked observational study during one year before and one year after full implementation of the HBB program. Cost data were provided by the Tanzanian Ministry of Health and Social Welfare (MOHSW), the research department at HLH, and the manufacturer of the training material Lærdal Global Health. Findings Costs per life saved were USD 233, while they were USD 4.21 per life year gained. Costs for maintaining the program were USD 80 per life saved and USD 1.44 per life year gained. Costs per disease adjusted life year (DALY) averted ranged from International Dollars (ID; a virtual valuta corrected for purchasing power world-wide) 12 to 23, according to how DALYs were calculated. Conclusion The HBB program is a low-cost intervention. Implementation in a very rural faith-based hospital like HLH has been highly cost-effective. To facilitate further global implementation of HBB a cost-effectiveness analysis including government owned institutions, urban hospitals and district facilities is desirable for a more diverse analysis to explore cost-driving factors and predictors of enhanced cost-effectiveness. PMID:25006802

  5. An Algorithm to Select the Optimal Program Based on Rough Sets and Fuzzy Soft Sets

    Directory of Open Access Journals (Sweden)

    Liu Wenjun

    2014-01-01

    Full Text Available Combining rough sets and fuzzy soft sets, we propose an algorithm to obtain the optimal decision program. In this algorithm, firstly, according to fuzzy soft sets, we build up information systems; secondly, we compute the significance of each parameter according to rough set theory; thirdly, combining subjective bias, we give an algorithm to obtain the comprehensive weight of each parameter; at last, we put forward a method to choose the optimal program. Example shows that the optimal algorithm is effective and rational.

  6. Initial Findings from a Novel School-Based Program, EMPATHY, Which May Help Reduce Depression and Suicidality in Youth.

    Directory of Open Access Journals (Sweden)

    Peter H Silverstone

    Full Text Available We describe initial pilot findings from a novel school-based approach to reduce youth depression and suicidality, the Empowering a Multimodal Pathway Towards Healthy Youth (EMPATHY program. Here we present the findings from the pilot cohort of 3,244 youth aged 11-18 (Grades 6-12. They were screened for depression, suicidality, anxiety, use of drugs, alcohol, or tobacco (DAT, quality-of-life, and self-esteem. Additionally, all students in Grades 7 and 8 (mean ages 12.3 and 13.3 respectively also received an 8-session cognitive-behavioural therapy (CBT based program designed to increase resiliency to depression. Following screening there were rapid interventions for the 125 students (3.9% who were identified as being actively suicidal, as well as for another 378 students (11.7% who were felt to be at higher-risk of self-harm based on a combination of scores from all the scales. The intervention consisted of an interview with the student and their family followed by offering a guided internet-based CBT program. Results from the 2,790 students who completed scales at both baseline and 12-week follow-up showed significant decreases in depression and suicidality. Importantly, there was a marked decrease in the number of students who were actively suicidal (from n=125 at baseline to n=30 at 12-weeks. Of the 503 students offered the CBT program 163 (32% took part, and this group had significantly lower depression scores compared to those who didn't take part. There were no improvements in self-esteem, quality-of-life, or the number of students using DAT. Only 60 students (2% of total screened required external referral during the 24-weeks following study initiation. These results suggest that a multimodal school-based program may provide an effective and pragmatic approach to help reduce youth depression and suicidality. Further research is required to determine longer-term efficacy, reproducibility, and key program elements.ClinicalTrials.gov NCT

  7. What Is the Optimal Length of an ELL Program?

    Science.gov (United States)

    Hong, Guanglei; Gagne, Joshua; West, Andrew

    2014-01-01

    This study focuses on assessing the contribution of ELL services to Spanish-speaking students' mathematics learning in elementary schools. ELL students tend to have lower average math achievement at school entry and throughout elementary school. The term "ELL services" encompasses English-as-a-second-language (ESL) programs, bilingual…

  8. "You Think You're Helping Them, But They're Helping You Too": Experiences of Scottish Male Young Offenders Participating in a Dog Training Program.

    Science.gov (United States)

    Leonardi, Rebecca J; Buchanan-Smith, Hannah M; McIvor, Gill; Vick, Sarah-Jane

    2017-08-22

    Interaction with animals can be beneficial to humans and animal-assisted interventions (AAIs) are increasingly popular in a range of contexts. Dog training programs (DTPs) are the most popular form of AAI in custodial contexts; prisoners often have multiple needs and DTPs seem to facilitate a diverse range of positive outcomes, including improvements in well-being, behavior, and offending behavior. However, evidence on the efficacy of prison-based DTPs is still limited and these evaluations often lack detail or methodological rigor. We examined the experiences of male young offenders (N = 70) using thematic analysis of semi-structured interviews conducted following completion of a DTP. The themes that emerged indicated a broad range of inter-related experiences and positive outcomes. The most prevalent theme related to their experiences with Dogs (including feelings and attitudes), and there were perceived improvements categorized as: Positive Effects (including mood and well-being), Motivation, Charitable Purpose, Self-Efficacy, Improved Skills, Impulsivity, and Emotional Management. These themes mapped well onto outcomes previously identified in research on DTPs, and to the program's core aims of improving behavior, educational engagement, employability, and well-being. The diversity and nature of these themes indicates that DTPs have considerable potential to engage and benefit those individuals with multiple needs, such as young offenders, and ultimately to achieve positive long-term outcomes with significant social, health, and economic impact.

  9. Low-Thrust Many-Revolution Trajectory Optimization via Differential Dynamic Programming and a Sundman Transformation

    Science.gov (United States)

    Aziz, Jonathan D.; Parker, Jeffrey S.; Scheeres, Daniel J.; Englander, Jacob A.

    2017-01-01

    Low-thrust trajectories about planetary bodies characteristically span a high count of orbital revolutions. Directing the thrust vector over many revolutions presents a challenging optimization problem for any conventional strategy. This paper demonstrates the tractability of low-thrust trajectory optimization about planetary bodies by applying a Sundman transformation to change the independent variable of the spacecraft equations of motion to the eccentric anomaly and performing the optimization with differential dynamic programming. Fuel-optimal geocentric transfers are shown in excess of 1000 revolutions while subject to Earths J2 perturbation and lunar gravity.

  10. Stochastic multi-stage optimization at the crossroads between discrete time stochastic control and stochastic programming

    CERN Document Server

    Carpentier, Pierre; Cohen, Guy; De Lara, Michel

    2015-01-01

    The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues. There is a growing need to tackle uncertainty in applications of optimization. For example the massive introduction of renewable energies in power systems challenges traditional ways to manage them. This book lays out basic and advanced tools to handle and numerically solve such problems and thereby is building a bridge between Stochastic Programming and Stochastic Control. It is intended for graduates readers and scholars in optimization or stochastic control, as well as engineers with a background in applied mathematics.

  11. Fuzzy physical programming for Space Manoeuvre Vehicles trajectory optimization based on hp-adaptive pseudospectral method

    Science.gov (United States)

    Chai, Runqi; Savvaris, Al; Tsourdos, Antonios

    2016-06-01

    In this paper, a fuzzy physical programming (FPP) method has been introduced for solving multi-objective Space Manoeuvre Vehicles (SMV) skip trajectory optimization problem based on hp-adaptive pseudospectral methods. The dynamic model of SMV is elaborated and then, by employing hp-adaptive pseudospectral methods, the problem has been transformed to nonlinear programming (NLP) problem. According to the mission requirements, the solutions were calculated for each single-objective scenario. To get a compromised solution for each target, the fuzzy physical programming (FPP) model is proposed. The preference function is established with considering the fuzzy factor of the system such that a proper compromised trajectory can be acquired. In addition, the NSGA-II is tested to obtain the Pareto-optimal solution set and verify the Pareto optimality of the FPP solution. Simulation results indicate that the proposed method is effective and feasible in terms of dealing with the multi-objective skip trajectory optimization for the SMV.

  12. Weld-metal property optimization from flux ingredients through mixture experiments and mathematical programming approach

    Directory of Open Access Journals (Sweden)

    Ademola David Adeyeye

    2009-09-01

    Full Text Available This paper presents a new methodology for weld-metal properties optimization from welding flux ingredients. The methodology integrates statistical design of mixture experiment with mathematical programming optimization technique. The mixture experiment is responsible for the modeling of the weld-metal properties as a function of welding flux levels while mathematical programming optimizes the model. Data and confirmed models from the literature were used to perform optimization on the responses. The maximum values possible with the prevailing conditions for acicular ferrite, charpy impact toughness and silicon transfer are 51.2%, 29 J and 0.231% respectively while the minimum oxygen content possible is 249 ppm. The new methodology is able to eliminate the limitations associated with the traditional experimental optimization methodology for flux formulation.

  13. Optimal Design of Measurement Programs for the Parameter Identification of Dynamic Systems

    DEFF Research Database (Denmark)

    Kirkegaard, Poul Henning; Sørensen, John Dalsgaard; Brincker, Rune

    The design of a measured program devoted to parameter identification of structural dynamic systems is considered, the design problem is formulated as an optimization problem due to minimize the total expected cost of the measurement program. All the calculations are based on a priori knowledge...

  14. An evaluation study of a gender-specific smoking cessation program to help Hong Kong Chinese women quit smoking.

    Science.gov (United States)

    Li, Ho Cheung William; Chan, Sophia Siu Chee; Wan, Zoe Siu Fung; Wang, Man Ping; Lam, Tai Hing

    2015-09-29

    There is a lack of population-based smoking cessation interventions targeting woman smokers in Hong Kong, and in Asia generally. This study aimed to evaluate the effectiveness of a gender-specific smoking cessation program for female smokers in Hong Kong. To evaluate the effectiveness of the service, a total of 457 eligible smokers were recruited. After the baseline questionnaire had been completed, a cessation counseling intervention was given by a trained counselor according to the stage of readiness to quit. Self-reported seven-day point prevalence of abstinence and reduction of cigarette consumption (≥50 %) and self-efficacy in rejecting tobacco were documented at one week and at two, three and six months. The 7-day point prevalence quit rate was 28.4 % (130/457), and 21.9 % (100/457) had reduced their cigarette consumption by at least 50 % at the six-month follow-up. The average daily cigarette consumption was reduced from 8.3 at baseline to 6.3 at six months. Moreover, both internal and external stimuli of anti-smoking self-efficacy increased from baseline to six months. The study provides some evidence for the effectiveness of the gender-specific smoking cessation program for female smokers. Furthermore, helping smokers to improve their self-efficacy in resisting both internal and external stimuli of tobacco use can be a way of enhancing the effectiveness of a smoking cessation intervention.

  15. Pythran: enabling static optimization of scientific Python programs

    Science.gov (United States)

    Guelton, Serge; Brunet, Pierrick; Amini, Mehdi; Merlini, Adrien; Corbillon, Xavier; Raynaud, Alan

    2015-01-01

    Pythran is an open source static compiler that turns modules written in a subset of Python language into native ones. Assuming that scientific modules do not rely much on the dynamic features of the language, it trades them for powerful, possibly inter-procedural, optimizations. These optimizations include detection of pure functions, temporary allocation removal, constant folding, Numpy ufunc fusion and parallelization, explicit thread-level parallelism through OpenMP annotations, false variable polymorphism pruning, and automatic vector instruction generation such as AVX or SSE. In addition to these compilation steps, Pythran provides a C++ runtime library that leverages the C++ STL to provide generic containers, and the Numeric Template Toolbox for Numpy support. It takes advantage of modern C++11 features such as variadic templates, type inference, move semantics and perfect forwarding, as well as classical idioms such as expression templates. Unlike the Cython approach, Pythran input code remains compatible with the Python interpreter. Output code is generally as efficient as the annotated Cython equivalent, if not more, but without the backward compatibility loss.

  16. Effects of a Cognitive Behavioral Self-Help Program on Emotional Problems for People with Acquired Hearing Loss: A Randomized Controlled Trial

    Science.gov (United States)

    Garnefski, Nadia; Kraaij, Vivian

    2012-01-01

    The aim of the study was to examine whether a cognitive-behavioral self-help program was effective in improving depressed mood and anxiety in people with acquired deafness. Participants were 45 persons with acquired deafness, randomly allocated to the Cognitive-Behavioral Self-help (CBS) group or the Waiting List Control (WLC) group. Depression…

  17. Getting Help with Child Care Expenses. Assessing the New Federalism: An Urban Institute Program To Assess Changing Social Policies. Occasional Paper.

    Science.gov (United States)

    Giannarelli, Linda; Adelman, Sarah; Schmidt, Stefanie

    As part of the "Assessing the New Federalism" project monitoring and assessing the devolution of social programs from the federal to the state and local levels, this study explored how much help employed families get with child care expenses and the types of help they receive. The analysis is based on data from the 1997 and 1999 National…

  18. Designing optimal food intake patterns to achieve nutritional goals for Japanese adults through the use of linear programming optimization models.

    Science.gov (United States)

    Okubo, Hitomi; Sasaki, Satoshi; Murakami, Kentaro; Yokoyama, Tetsuji; Hirota, Naoko; Notsu, Akiko; Fukui, Mitsuru; Date, Chigusa

    2015-06-06

    Simultaneous dietary achievement of a full set of nutritional recommendations is difficult. Diet optimization model using linear programming is a useful mathematical means of translating nutrient-based recommendations into realistic nutritionally-optimal food combinations incorporating local and culture-specific foods. We used this approach to explore optimal food intake patterns that meet the nutrient recommendations of the Dietary Reference Intakes (DRIs) while incorporating typical Japanese food selections. As observed intake values, we used the food and nutrient intake data of 92 women aged 31-69 years and 82 men aged 32-69 years living in three regions of Japan. Dietary data were collected with semi-weighed dietary record on four non-consecutive days in each season of the year (16 days total). The linear programming models were constructed to minimize the differences between observed and optimized food intake patterns while also meeting the DRIs for a set of 28 nutrients, setting energy equal to estimated requirements, and not exceeding typical quantities of each food consumed by each age (30-49 or 50-69 years) and gender group. We successfully developed mathematically optimized food intake patterns that met the DRIs for all 28 nutrients studied in each sex and age group. Achieving nutritional goals required minor modifications of existing diets in older groups, particularly women, while major modifications were required to increase intake of fruit and vegetables in younger groups of both sexes. Across all sex and age groups, optimized food intake patterns demanded greatly increased intake of whole grains and reduced-fat dairy products in place of intake of refined grains and full-fat dairy products. Salt intake goals were the most difficult to achieve, requiring marked reduction of salt-containing seasoning (65-80%) in all sex and age groups. Using a linear programming model, we identified optimal food intake patterns providing practical food choices and

  19. Predicting successful completion of an aftercare program following treatment for alcoholism: the role of dispositional optimism.

    Science.gov (United States)

    Strack, S; Carver, C S; Blaney, P H

    1987-09-01

    In this study we investigated several variables as potential predictors of success in completing a transition program after treatment for alcoholism. Subjects were 54 men who had completed a 30-day treatment program and who were subsequently admitted to a 90-day inpatient aftercare program. The outcome measure was successful completion of this latter program. Predictor variables were dispositional optimism, hassles, uplifts, and several demographic variables. Optimism was positively associated with successful outcome. The simple association between uplifts and outcome also approached significance, but in the opposite to expected direction. Discriminant analyses used both of these variables, as well as age and education level, as predictors of successful outcome. There was no evidence of a role for hassles. Discussion centers on the importance of dispositional optimism as a predictor of successful adaptation in a variety of behavioral domains.

  20. Towards Program Optimization through Automated Analysis of Numerical Precision.

    Science.gov (United States)

    Linderman, Michael D; Ho, Matthew; Dill, David L; Meng, Teresa H; Nolan, Garry P

    2010-04-01

    Reducing the arithmetic precision of a computation has real performance implications, including increased speed, decreased power consumption, and a smaller memory footprint. For some architectures, e.g., GPUs, there can be such a large performance difference that using reduced precision is effectively a requirement. The tradeoff is that the accuracy of the computation will be compromised. In this paper we describe a proof assistant and associated static analysis techniques for efficiently bounding numerical and precision-related errors. The programmer/compiler can use these bounds to numerically verify and optimize an application for different input and machine configurations. We present several case study applications that demonstrate the effectiveness of these techniques and the performance benefits that can be achieved with rigorous precision analysis.

  1. “You Think You’re Helping Them, But They’re Helping You Too”: Experiences of Scottish Male Young Offenders Participating in a Dog Training Program

    Directory of Open Access Journals (Sweden)

    Rebecca J. Leonardi

    2017-08-01

    Full Text Available Interaction with animals can be beneficial to humans and animal-assisted interventions (AAIs are increasingly popular in a range of contexts. Dog training programs (DTPs are the most popular form of AAI in custodial contexts; prisoners often have multiple needs and DTPs seem to facilitate a diverse range of positive outcomes, including improvements in well-being, behavior, and offending behavior. However, evidence on the efficacy of prison-based DTPs is still limited and these evaluations often lack detail or methodological rigor. We examined the experiences of male young offenders (N = 70 using thematic analysis of semi-structured interviews conducted following completion of a DTP. The themes that emerged indicated a broad range of inter-related experiences and positive outcomes. The most prevalent theme related to their experiences with Dogs (including feelings and attitudes, and there were perceived improvements categorized as: Positive Effects (including mood and well-being, Motivation, Charitable Purpose, Self-Efficacy, Improved Skills, Impulsivity, and Emotional Management. These themes mapped well onto outcomes previously identified in research on DTPs, and to the program’s core aims of improving behavior, educational engagement, employability, and well-being. The diversity and nature of these themes indicates that DTPs have considerable potential to engage and benefit those individuals with multiple needs, such as young offenders, and ultimately to achieve positive long-term outcomes with significant social, health, and economic impact.

  2. Optimizing the Effectiveness of CME Program: NAMS Experience

    Directory of Open Access Journals (Sweden)

    Kuldeep Singh

    2015-01-01

    Full Text Available purposeful learning require strong basis of principles of adult learning along with a sound knowledge and requisite skills in both psychology as well as technology of medical education. Assessing effectiveness of a CME program is as important as the organization of learning activities and delivery of academic program as these may provide further directions for enhancing the efficacy of the CME delivery system.Objective: (i The purpose of this study was to investigate the effectiveness of well planned and conducted CME program in terms of enhancing knowledge and competence of the participants. (ii To explore if the gain in knowledge and competence, if any, can be attributed to the interactive design of the educational process.Methods: The study was conducted during NAMS-AIIMS Regional Symposium on Sleep Medicine at AIIMS, Jodhpur as part of NAMSCON 2013. After explaining the objectives of the study to the participants and assurance of confidentiality, a validated and pre-tested questionnaire consisting of 30 multiple choice, single response questions, was administered to 103 participants. Following intervention consisting of didactic lectures by experts in different aspects of sleep medicine, interactive sessions and problem triggered sessions consisting of clinical data, participants were re-administered post test questions which were, however, different from pre-test but had similar difficulty level.Result: The response rate of participants was 89%. Pre-intervention scores were 11.76 ± 4.4, with only 26 % of participants achieving an arbitrary pass score of 50 %. Comparison of paired score of participants who attempted both pre and post tests (n=59 showed improvement from 12.1 ±4.6 to 18.3 ± 3.8 which was significant (p <0.05. 84.7 % of participants secured above pre decided 50% score. The mean increase in the score was 6.2 with 95% CIs 4.8; 7.5 (P <0.001. Higher gain in knowledge and competencies is attributed to intense interactive

  3. Program MAMO: Models for avian management optimization-user guide

    Science.gov (United States)

    Guillaumet, Alban; Paxton, Eben H.

    2017-01-01

    The following chapters describe the structure and code of MAMO, and walk the reader through running the different components of the program with sample data. This manual should be used alongside a computer running R, so that the reader can copy and paste code into R, observe the output, and follow along interactively. Taken together, chapters 2–4 will allow the user to replicate a simulation study investigating the consequences of climate change and two potential management actions on the population dynamics of a vulnerable and iconic Hawaiian forest bird, the ‘I‘iwi (Drepanis coccinea; hereafter IIWI).

  4. Integer Programming Approach For Optimization Of Library Loan Policy

    Directory of Open Access Journals (Sweden)

    Hafeezullah Abdulrehman

    2017-04-01

    Full Text Available In the Library system main objective is to provide the best services to the users. The purpose of this research is to develop a library system that house implementing integrated procurement flow return and borrowing books so that the inter-library loan dealing can be done in an integrated manner with the hope to facilitate members to borrow variety of books thereby increasing library transactions. Interlibrary management system library loan policy have been formed by using integer programming technique. This paper is prepared with a view to facilitate to users with loan period and maximum number of books can be borrowed.

  5. POBE: A Computer Program for Optimal Design of Multi-Subject Blocked fMRI Experiments

    Directory of Open Access Journals (Sweden)

    Bärbel Maus

    2014-01-01

    Full Text Available For functional magnetic resonance imaging (fMRI studies, researchers can use multi-subject blocked designs to identify active brain regions for a certain stimulus type of interest. Before performing such an experiment, careful planning is necessary to obtain efficient stimulus effect estimators within the available financial resources. The optimal number of subjects and the optimal scanning time for a multi-subject blocked design with fixed experimental costs can be determined using optimal design methods. In this paper, the user-friendly computer program POBE 1.2 (program for optimal design of blocked experiments, version 1.2 is presented. POBE provides a graphical user interface for fMRI researchers to easily and efficiently design their experiments. The computer program POBE calculates the optimal number of subjects and the optimal scanning time for user specified experimental factors and model parameters so that the statistical efficiency is maximised for a given study budget. POBE can also be used to determine the minimum budget for a given power. Furthermore, a maximin design can be determined as efficient design for a possible range of values for the unknown model parameters. In this paper, the computer program is described and illustrated with typical experimental factors for a blocked fMRI experiment.

  6. Optimization techniques in statistics

    CERN Document Server

    Rustagi, Jagdish S

    1994-01-01

    Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In this book, Jagdish Rustagi provides full-spectrum coverage of these methods, ranging from classical optimization and Lagrange multipliers, to numerical techniques using gradients or direct search, to linear, nonlinear, and dynamic programming using the Kuhn-Tucker conditions or the Pontryagin maximal principle. Variational methods and optimiza

  7. An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation.

    Science.gov (United States)

    Warid, Warid; Hizam, Hashim; Mariun, Norman; Abdul-Wahab, Noor Izzri

    2016-01-01

    This paper proposes a new formulation for the multi-objective optimal power flow (MOOPF) problem for meshed power networks considering distributed generation. An efficacious multi-objective fuzzy linear programming optimization (MFLP) algorithm is proposed to solve the aforementioned problem with and without considering the distributed generation (DG) effect. A variant combination of objectives is considered for simultaneous optimization, including power loss, voltage stability, and shunt capacitors MVAR reserve. Fuzzy membership functions for these objectives are designed with extreme targets, whereas the inequality constraints are treated as hard constraints. The multi-objective fuzzy optimal power flow (OPF) formulation was converted into a crisp OPF in a successive linear programming (SLP) framework and solved using an efficient interior point method (IPM). To test the efficacy of the proposed approach, simulations are performed on the IEEE 30-busand IEEE 118-bus test systems. The MFLP optimization is solved for several optimization cases. The obtained results are compared with those presented in the literature. A unique solution with a high satisfaction for the assigned targets is gained. Results demonstrate the effectiveness of the proposed MFLP technique in terms of solution optimality and rapid convergence. Moreover, the results indicate that using the optimal DG location with the MFLP algorithm provides the solution with the highest quality.

  8. An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation.

    Directory of Open Access Journals (Sweden)

    Warid Warid

    Full Text Available This paper proposes a new formulation for the multi-objective optimal power flow (MOOPF problem for meshed power networks considering distributed generation. An efficacious multi-objective fuzzy linear programming optimization (MFLP algorithm is proposed to solve the aforementioned problem with and without considering the distributed generation (DG effect. A variant combination of objectives is considered for simultaneous optimization, including power loss, voltage stability, and shunt capacitors MVAR reserve. Fuzzy membership functions for these objectives are designed with extreme targets, whereas the inequality constraints are treated as hard constraints. The multi-objective fuzzy optimal power flow (OPF formulation was converted into a crisp OPF in a successive linear programming (SLP framework and solved using an efficient interior point method (IPM. To test the efficacy of the proposed approach, simulations are performed on the IEEE 30-busand IEEE 118-bus test systems. The MFLP optimization is solved for several optimization cases. The obtained results are compared with those presented in the literature. A unique solution with a high satisfaction for the assigned targets is gained. Results demonstrate the effectiveness of the proposed MFLP technique in terms of solution optimality and rapid convergence. Moreover, the results indicate that using the optimal DG location with the MFLP algorithm provides the solution with the highest quality.

  9. Effects of a cognitive behavioral self-help program and a computerized structured writing intervention on depressed mood for HIV-infected people: a pilot randomized controlled trial

    NARCIS (Netherlands)

    Kraaij, V.; van Emmerik, A.; Garnefski, N.; Schroevers, M.J.; Lo-Fo-Wong, D.; Empelen, P.; Dusseldorp, E.; Witlox, R.; Maes, S.

    2010-01-01

    Objective: The aim of the present study was to examine whether low-resource, cost-effective intervention programs can be effective in improving depressed mood in people with HIV. The efficacy of a cognitive-behavioral self-help program (CBS) and a computerized structured writing intervention (SWI)

  10. A Bridge to Active Learning: A Summer Bridge Program Helps Students Maximize Their Active-Learning Experiences and the Active-Learning Experiences of Others

    Science.gov (United States)

    Cooper, Katelyn M.; Ashley, Michael; Brownell, Sara E.

    2017-01-01

    National calls to improve student academic success in college have sparked the development of bridge programs designed to help students transition from high school to college. We designed a 2-week Summer Bridge program that taught introductory biology content in an active-learning way. Through a set of exploratory interviews, we unexpectedly…

  11. Effects of a cognitive behavioral self-help program and a computerized structured writing intervention on depressed mood for HIV-infected people : A pilot randomized controlled trial

    NARCIS (Netherlands)

    Kraaij, Vivian; van Emmerik, Arnold; Garnefski, Nadia; Schroevers, Maya J.; Lo-Fo-Wong, Deborah; van Empelen, Pepijn; Dusseldorp, Elise; Witlox, Robert; Maes, Stan

    Objective: The aim of the present study was to examine whether low-resource, cost-effective intervention programs can be effective in improving depressed mood in people with HIV. The efficacy of a cognitive-behavioral self-help program (CBS) and a computerized structured writing intervention (SWI)

  12. Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming.

    Science.gov (United States)

    Fenton, Michael; Lynch, David; Kucera, Stepan; Claussen, Holger; O'Neill, Michael

    2017-09-01

    Heterogeneous cellular networks are composed of macro cells (MCs) and small cells (SCs) in which all cells occupy the same bandwidth. Provision has been made under the third generation partnership project-long term evolution framework for enhanced intercell interference coordination (eICIC) between cell tiers. Expanding on previous works, this paper instruments grammatical genetic programming to evolve control heuristics for heterogeneous networks. Three aspects of the eICIC framework are addressed including setting SC powers and selection biases, MC duty cycles, and scheduling of user equipments (UEs) at SCs. The evolved heuristics yield minimum downlink rates three times higher than a baseline method, and twice that of a state-of-the-art benchmark. Furthermore, a greater number of UEs receive transmissions under the proposed scheme than in either the baseline or benchmark cases.

  13. Help me, help me.

    Science.gov (United States)

    Simard, Joyce

    2017-10-01

    Disruptive vocalization and resisting personal care is a problem for staff in most skilled nursing facilities. Often these behaviors result in the resident being treated with antipsychotics. The Namaste Care program which takes place in a calm environment and offers a loving touch approach to care, has been successful in eliminating these behaviors. The room or space where Namaste Care takes place is as free from disruption as possible and as the resident is welcomed into the room, the calming music and scent of lavender surrounds them. In this case report, the resident stopped crying out as soon as she entered the room. This resident also became comfortable with being touched when touch was offered in a slow, loving manner. Much to the delight of staff this had a "trickle down" effect as the resident stopped resisting care even when she was out of the Namaste Care room. The result was that this resident's last year of life was filled with loving care until she took her last breath.

  14. Mexican American women's perspectives on a culturally adapted cognitive-behavioral therapy guided self-help program for binge eating.

    Science.gov (United States)

    Shea, Munyi; Cachelin, Fary M; Gutierrez, Guadalupe; Wang, Sherry; Phimphasone, Phoutdavone

    2016-02-01

    The prevalence of bulimia nervosa (BN) and binge eating disorder (BED) among Latinas is comparable to those of the general population; however, few interventions and treatment trial research have focused on this group. Cognitive-behavioral therapy (CBT) is the treatment of choice for binge eating related disorders. CBT-based guided self-help (CBTgsh)-a low-cost minimal intervention-has also been shown effective in improving binge eating related symptom, but the effectiveness of the CBTgsh among ethnic minority women is not well understood. Cultural adaptation of evidence-based treatments can be an important step for promoting treatment accessibility and engagement among underserved groups. This qualitative study was part of a larger investigation that examined the feasibility and efficacy of a culturally adapted CBTgsh program among Mexican American women with binge eating disorders. Posttreatment focus groups were conducted with 12 Mexican American women with BN or BED who participated in the intervention. Data were analyzed with the grounded theory methodology (Corbin & Strauss, 2008). Three themes emerged from the data: (a) eating behavior and body ideals are socially and culturally constructed, (b) multifaceted support system is crucial to Mexican American women's treatment engagement and success, and (c) the culturally adapted CBTgsh program is feasible and relevant to Mexican American women's experience, but it can be strengthened with increased family and peer involvement. The findings provide suggestions for further adaptation and refinement of the CBTgsh, and implications for future research as well as early intervention for disordered eating in organized care settings. (c) 2016 APA, all rights reserved).

  15. Mixed integer programming improves comprehensibility and plan quality in inverse optimization of prostate HDR-brachytherapy

    CERN Document Server

    Gorissen, Bram L; Hoffmann, Aswin L

    2014-01-01

    Current inverse treatment planning methods that optimize both catheter positions and dwell times in prostate HDR brachytherapy use surrogate linear or quadratic objective functions that have no direct interpretation in terms of dose-volume histogram (DVH) criteria, do not result in an optimum or have long solution times. We decrease the solution time of existing linear and quadratic dose-based programming models (LP and QP, respectively) to allow optimizing over potential catheter positions using mixed integer programming. An additional average speed-up of 75% can be obtained by stopping the solver at an early stage, without deterioration of the plan quality. For a fixed catheter configuration, the dwell time optimization model LP solves to optimality in less than 15 seconds, which confirms earlier results. We propose an iterative procedure for QP that allows to prescribe the target dose as an interval, while retaining independence between the solution time and the number of dose calculation points. This iter...

  16. Power Grid Construction Project Portfolio Optimization Based on Bi-level programming model

    Science.gov (United States)

    Zhao, Erdong; Li, Shangqi

    2017-08-01

    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.

  17. Chapter 1: Assessing pollinator habitat services to optimize conservation programs

    Science.gov (United States)

    Iovanna, Richard; Ando , Amy W.; Swinton, Scott; Hellerstein, Daniel; Kagan, Jimmy; Mushet, David M.; Otto, Clint R.; Rewa, Charles A.

    2017-01-01

    Pollination services have received increased attention over the past several years, and protecting foraging area is beginning to be reflected in conservation policy. This case study considers the prospects for doing so in a more analytically rigorous manner, by quantifying the pollination services for sites being considered for ecological restoration. The specific policy context is the Conservation Reserve Program (CRP), which offers financial and technical assistance to landowners seeking to convert sensitive cropland back to some semblance of the prairie (or, to a lesser extent, forest or wetland) ecosystem that preceded it. Depending on the mix of grasses and wildflowers that are established, CRP enrollments can provide pollinator habitat. Further, depending on their location, they will generate related services, such as biological control of crop pests, recreation, and aesthetics. While offers to enroll in CRP compete based on cost and some anticipated benefits, the eligibility and ranking criteria do not reflect these services to a meaningful degree. Therefore, we develop a conceptual value diagram to identify the sequence of steps and associated models and data necessary to quantify the full range of services, and find that critical data gaps, some of which are artifacts of policy, preclude the application of benefit-relevant indicators (BRIs) or monetization. However, we also find that there is considerable research activity underway to fill these gaps. In addition, a modeling framework has been developed that can estimate field-level effects on services as a function of landscape context. The approach is inherently scalable and not limited in geographic scope, which is essential for a program with a national footprint. The parameters in this framework are sufficiently straightforward that expert judgment could be applied as a stopgap approach until empirically derived estimates are available. While monetization of benefit-relevant indicators of yield

  18. Indonesian Maritime Logistics Network Optimization Using Mixed Integer Programming

    Directory of Open Access Journals (Sweden)

    Arry Rahmawan Komarudin

    2017-01-01

    Full Text Available Some causes of the high logistic costs and significant disparity in Indonesia’s commodity price is the imbalanced distribution of the flow of goods between west and east regional of Indonesia and the slow development infrastructure. This issue can be happened because maritime transport infrastructure in Indonesia have not served effectively yet,. Therefore, the provider of shipping services should be able to design the Indonesian maritime logistics network that best suits with the current maritime conditions and provide the greatest benefits. This study aims to obtain a model of decision-making at all levels (strategic, tactical, operational to determine the type of vessel, the shipping routes, and cargo allocation that gives the maximum profit. Main purpose from this study is to develop decision-making model for maritime logistics network design at all levels (strategic, tactical, operational by using Mixed Integer Programming which can solve the combination of fleet-design, ship-scheduling, and cargo routing problems simultaneously.

  19. Extensions of Dynamic Programming: Decision Trees, Combinatorial Optimization, and Data Mining

    KAUST Repository

    Hussain, Shahid

    2016-07-10

    This thesis is devoted to the development of extensions of dynamic programming to the study of decision trees. The considered extensions allow us to make multi-stage optimization of decision trees relative to a sequence of cost functions, to count the number of optimal trees, and to study relationships: cost vs cost and cost vs uncertainty for decision trees by construction of the set of Pareto-optimal points for the corresponding bi-criteria optimization problem. The applications include study of totally optimal (simultaneously optimal relative to a number of cost functions) decision trees for Boolean functions, improvement of bounds on complexity of decision trees for diagnosis of circuits, study of time and memory trade-off for corner point detection, study of decision rules derived from decision trees, creation of new procedure (multi-pruning) for construction of classifiers, and comparison of heuristics for decision tree construction. Part of these extensions (multi-stage optimization) was generalized to well-known combinatorial optimization problems: matrix chain multiplication, binary search trees, global sequence alignment, and optimal paths in directed graphs.

  20. A Global Optimization Approach for Solving Generalized Nonlinear Multiplicative Programming Problem

    Directory of Open Access Journals (Sweden)

    Lin-Peng Yang

    2014-01-01

    Full Text Available This paper presents a global optimization algorithm for solving globally the generalized nonlinear multiplicative programming (MP with a nonconvex constraint set. The algorithm uses a branch and bound scheme based on an equivalently reverse convex programming problem. As a result, in the computation procedure the main work is solving a series of linear programs that do not grow in size from iterations to iterations. Further several key strategies are proposed to enhance solution production, and some of them can be used to solve a general reverse convex programming problem. Numerical results show that the computational efficiency is improved obviously by using these strategies.

  1. Manual of phosphoric acid fuel cell power plant optimization model and computer program

    Science.gov (United States)

    Lu, C. Y.; Alkasab, K. A.

    1984-01-01

    An optimized cost and performance model for a phosphoric acid fuel cell power plant system was derived and developed into a modular FORTRAN computer code. Cost, energy, mass, and electrochemical analyses were combined to develop a mathematical model for optimizing the steam to methane ratio in the reformer, hydrogen utilization in the PAFC plates per stack. The nonlinear programming code, COMPUTE, was used to solve this model, in which the method of mixed penalty function combined with Hooke and Jeeves pattern search was chosen to evaluate this specific optimization problem.

  2. Worst-Case Execution Time Based Optimization of Real-Time Java Programs

    DEFF Research Database (Denmark)

    Hepp, Stefan; Schoeberl, Martin

    2012-01-01

    Standard compilers optimize execution time for the average case. However, in hard real-time systems the worst-case execution time (WCET) is of primary importance. Therefore, a compiler for real-time systems shall include optimizations that aim to minimize the WCET. One effective compiler...... optimization is method in lining. It is especially important for languages, like Java, where small setter and getter methods are considered good programming style. In this paper we present and explore WCET driven in lining of Java methods. We use the WCET analysis tool for the Java processor JOP to guide...

  3. Integrated use of computer programs for analysis and optimization of aircraft structures

    Science.gov (United States)

    Moon, Young IN

    1990-01-01

    The objective is to present results from investigating the integrated use of five computer programs: ANALYZE, ASTROS, NASTRAN, OPTSTAT, and VAASEL for analysis and optimization of a given structure. The structure designated for study purposes was the F-15E vertical tail. The concept of integrated use is limited to the capability of using a NASTRAN structural model to run each of the other specified programs. This was actually accomplished in practice by converting a NASTRAN model of the designated structure into an appropriate analysis model. For optimization purposes, the torque-box of the F-15E vertical tail was used.

  4. Optimal method of ecological restoration of degraded ecosystem using goal programming

    Science.gov (United States)

    Sun, Ling; Zhu, Zesheng

    2017-08-01

    Ecological restoration of degraded wetland ecosystem can be achieved by planning experts according to ground investigation, but with low efficiencies. We report that satellite sensors, maximizing ecosystem service values and minimizing ecological restoration cost improve ecological restoration efficiency. In particular, linear goal programming (LGP), an optimal programming, improves ecological restoration efficiency by more than 250% in the return on investment of ecological restoration, using TM satellite as area sensors. LGP also enables efficient introduction of optimal management into ecological restoration of degraded wetland ecosystem.

  5. Linear Programming and Genetic Algorithm Based Optimization for the Weighting Scheme of a Value Focused Thinking Hierarchy

    National Research Council Canada - National Science Library

    Thawley, David

    2003-01-01

    .... When historical data exists on evaluation measures and performance of alternatives, linear programming and genetic algorithm based optimization may be used to derive historically optimal weights for a hierarchy...

  6. A comparative study on optimization methods for the constrained nonlinear programming problems

    Directory of Open Access Journals (Sweden)

    Yeniay Ozgur

    2005-01-01

    Full Text Available Constrained nonlinear programming problems often arise in many engineering applications. The most well-known optimization methods for solving these problems are sequential quadratic programming methods and generalized reduced gradient methods. This study compares the performance of these methods with the genetic algorithms which gained popularity in recent years due to advantages in speed and robustness. We present a comparative study that is performed on fifteen test problems selected from the literature.

  7. Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming.

    Science.gov (United States)

    Lian, Chuanqiang; Xu, Xin; Chen, Hong; He, Haibo

    2016-11-01

    Trajectory tracking control of wheeled mobile robots (WMRs) has been an important research topic in control theory and robotics. Although various tracking control methods with stability have been developed for WMRs, it is still difficult to design optimal or near-optimal tracking controller under uncertainties and disturbances. In this paper, a near-optimal tracking control method is presented for WMRs based on receding-horizon dual heuristic programming (RHDHP). In the proposed method, a backstepping kinematic controller is designed to generate desired velocity profiles and the receding horizon strategy is used to decompose the infinite-horizon optimal control problem into a series of finite-horizon optimal control problems. In each horizon, a closed-loop tracking control policy is successively updated using a class of approximate dynamic programming algorithms called finite-horizon dual heuristic programming (DHP). The convergence property of the proposed method is analyzed and it is shown that the tracking control system based on RHDHP is asymptotically stable by using the Lyapunov approach. Simulation results on three tracking control problems demonstrate that the proposed method has improved control performance when compared with conventional model predictive control (MPC) and DHP. It is also illustrated that the proposed method has lower computational burden than conventional MPC, which is very beneficial for real-time tracking control.

  8. A two-stage sequential linear programming approach to IMRT dose optimization

    Science.gov (United States)

    Zhang, Hao H; Meyer, Robert R; Wu, Jianzhou; Naqvi, Shahid A; Shi, Leyuan; D’Souza, Warren D

    2010-01-01

    The conventional IMRT planning process involves two stages in which the first stage consists of fast but approximate idealized pencil beam dose calculations and dose optimization and the second stage consists of discretization of the intensity maps followed by intensity map segmentation and a more accurate final dose calculation corresponding to physical beam apertures. Consequently, there can be differences between the presumed dose distribution corresponding to pencil beam calculations and optimization and a more accurately computed dose distribution corresponding to beam segments that takes into account collimator-specific effects. IMRT optimization is computationally expensive and has therefore led to the use of heuristic (e.g., simulated annealing and genetic algorithms) approaches that do not encompass a global view of the solution space. We modify the traditional two-stage IMRT optimization process by augmenting the second stage via an accurate Monte-Carlo based kernel-superposition dose calculations corresponding to beam apertures combined with an exact mathematical programming based sequential optimization approach that uses linear programming (SLP). Our approach was tested on three challenging clinical test cases with multileaf collimator constraints corresponding to two vendors. We compared our approach to the conventional IMRT planning approach, a direct-aperture approach and a segment weight optimization approach. Our results in all three cases indicate that the SLP approach outperformed the other approaches, achieving superior critical structure sparing. Convergence of our approach is also demonstrated. Finally, our approach has also been integrated with a commercial treatment planning system and may be utilized clinically. PMID:20071764

  9. Alcohol e-Help: study protocol for a web-based self-help program to reduce alcohol use in adults with drinking patterns considered harmful, hazardous or suggestive of dependence in middle-income countries.

    Science.gov (United States)

    Schaub, Michael P; Tiburcio, Marcela; Martinez, Nora; Ambekar, Atul; Balhara, Yatan Pal Singh; Wenger, Andreas; Monezi Andrade, André Luiz; Padruchny, Dzianis; Osipchik, Sergey; Gehring, Elise; Poznyak, Vladimir; Rekve, Dag; Souza-Formigoni, Maria Lucia Oliveira

    2017-09-17

    Given the scarcity of alcohol prevention and alcohol use disorder treatments in many low and middle-income countries, the World Health Organization launched an e-health portal on alcohol and health that includes a Web-based self-help program. This paper presents the protocol for a multicentre randomized controlled trial (RCT) to test the efficacy of the internet-based self-help intervention to reduce alcohol use. Two-arm randomized controlled trial (RCT) with follow-up 6 months after randomization. Community samples in middle-income countries. People aged 18+, with Alcohol Use Disorders Identification Test (AUDIT) scores of 8+ indicating hazardous alcohol consumption. Offer of an internet-based self-help intervention, 'Alcohol e-Health', compared with a 'waiting list' control group. The intervention, adapted from a previous program with evidence of effectiveness in a high-income country, consists of modules to reduce or entirely stop drinking. The primary outcome measure is change in the Alcohol Use Disorders Identification Test (AUDIT) score assessed at 6-month follow-up. Secondary outcomes include self-reported the numbers of standard drinks and alcohol-free days in a typical week during the past 6 months, and cessation of harmful or hazardous drinking (AUDIT < 8). Data analysis will be by intention-to-treat, using analysis of covariance to test if program participants will experience a greater reduction in their AUDIT score than controls at follow-up. Secondary outcomes will be analysed by (generalized) linear mixed models. Complier average causal effect and baseline observations carried forward will be used in sensitivity analyses. If the Alcohol e-Health program is found to be effective, the potential public health impact of its expansion into countries with underdeveloped alcohol prevention and alcohol use disorder treatment systems world-wide is considerable. © 2017 Society for the Study of Addiction.

  10. A Quantitative Optimization Framework for Market-Driven Academic Program Portfolios

    NARCIS (Netherlands)

    Burgher, Joshua; Hamers, Herbert

    2017-01-01

    We introduce a quantitative model that can be used for decision support for planning and optimizing the composition of portfolios of market-driven academic programs within the context of higher education. This model is intended to enable leaders in colleges and universities to maximize financial

  11. Nonlinear programming models to optimize uneven-aged loblolly pine management

    Science.gov (United States)

    Benedict J. Schulte; Joseph. Buongiorno; Kenneth Skog

    1999-01-01

    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...

  12. Nonlinear Programming Models to Optimize Uneven-Aged Shortleaf Pine Management

    Science.gov (United States)

    Benedict J. Schulte; Joseph Buongiorno

    2002-01-01

    Nonlinear programming models of uneven-aged shortleaf pine (Pinus echinata Mill.) management were developed to identify sustainable management regimes that optimize soil expectation value (SEV) or annual sawtimber yields. The models recognize three species groups (shortleaf pine and other softwoods, soft hardwoods and hard hardwoods) and 13 2-inch...

  13. Enhanced index tracking modeling in portfolio optimization with mixed-integer programming z approach

    Science.gov (United States)

    Siew, Lam Weng; Jaaman, Saiful Hafizah Hj.; Ismail, Hamizun bin

    2014-09-01

    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.

  14. Modeling and optimization in early detection programs with a single exam.

    Science.gov (United States)

    Parmigiani, Giovanni; Skates, Steven; Zelen, Marvin

    2002-03-01

    The choice of timing of screening examinations is an important element in determining the efficacy of strategies for the early detection of occult disease. In this article, we describe a flexible decision-making framework for the design of early detection programs, and we investigate the choice of timing when each individual in the screening program is examined only once. We focus on the theoretical relation between the optimal examination time and the distributions of sojourn times in health-related states. Specifically, we derive closed-form solutions of the optimal age using two specifications of utility functions, discuss the effects of natural history and utility specifications on the optimal solution, and present an application to early detection of colorectal cancer by once-only sigmoidoscopy or colonoscopy.

  15. Optimizing Gear Shifting Strategy for Off-Road Vehicle with Dynamic Programming

    Directory of Open Access Journals (Sweden)

    Xinxin Zhao

    2014-01-01

    Full Text Available Gear shifting strategy of vehicle is important aid for the acquisition of dynamic performance and high economy. A dynamic programming (DP algorithm is used to optimize the gear shifting schedule for off-road vehicle by using an objective function that weighs fuel use and trip time. The optimization is accomplished through discrete dynamic programming and a trade-off between trip time and fuel consumption is analyzed. By using concave and convex surface road as road profile, an optimal gear shifting strategy is used to control the longitudinal behavior of the vehicle. Simulation results show that the trip time can be reduced by powerful gear shifting strategy and fuel consumption can achieve high economy with economical gear shifting strategy in different initial conditions and route cases.

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

    DEFF Research Database (Denmark)

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

    2012-01-01

    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......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...... 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...

  17. Optimization of Turning Operations by Using a Hybrid Genetic Algorithm with Sequential Quadratic Programming

    Directory of Open Access Journals (Sweden)

    A. Belloufi*

    2013-01-01

    Full Text Available The determination of optimal cutting parameters is one of the most important elements in any process planning ofmetal parts. In this paper, a new hybrid genetic algorithm by using sequential quadratic programming is used for theoptimization of cutting conditions. It is used for the resolution of a multipass turning optimization case by minimizingthe production cost under a set of machining constraints. The genetic algorithm (GA is the main optimizer of thisalgorithm whereas SQP Is used to fine tune the results obtained from the GA. Furthermore, the convergencecharacteristics and robustness of the proposed method have been explored through comparisons with resultsreported in literature. The obtained results indicate that the proposed hybrid genetic algorithm by using a sequentialquadratic programming is effective compared to other techniques carried out by different researchers.

  18. An Object Oriented Programming Tool for Optimal Management of Water Systems under Uncertainty by use of Stochastic Dual Dynamic Programming

    Science.gov (United States)

    Raso, Luciano; Dorchies, David; Malaterre, Pierre-Olivier

    2015-04-01

    We developed an Objective Oriented Programming (OOP) tool for optimal management of complex water systems by use of Stochastic Dual Dynamic Programming (SDDP). OOP is a powerful programming paradigm. OOP minimizes code redundancies, making code modification and maintenance very effective. This is especially welcome in research, in which, often, code must be modified to meet new requirements that were not initially considered. SDDP is an advanced method for optimal operation of complex dynamic systems under uncertainty. SDDP can deal with large and complex systems, such as a multi-reservoir system. The objective of this tool is making SDDP usable for Water Management Analysts. Thanks to this tool, the Analyst can bypass the SDDP programming complexity, and his/her task is simplified to the definition of system elements, topology and objectives, and experiments characteristics. In this tool, the main classes are: Experiment, System, Element, and Objective. Experiments are run on a system. A system is made of many elements interconnected among them. Class Element is made of the following sub-classes: (stochastic) hydrological scenario, (deterministic) water demand scenario, reservoir, river reach, off-take, and irrigation basin. Objectives are used in the optimization procedure to find the optimal operational rules, for a given system and experiment. OOP flexibility allows the Water Management Analyst to extend easily existing classes in order to answer his/her specific research questions. The tool is implemented in Python, and will be initially tested on two applications: the Senegal River water system, in West Africa, and the Seine River, in France.

  19. Contribution to the development of a food guide in Benin: linear programming for the optimization of local diets.

    Science.gov (United States)

    Levesque, Sarah; Delisle, Hélène; Agueh, Victoire

    2015-03-01

    Food guides are important tools for nutrition education. While developing a food guide in Benin, the objective was to determine the daily number of servings per food group and the portion sizes of common foods to be recommended. Linear programming (LP) was used to determine, for each predefined food group, the optimal number and size of servings of commonly consumed foods. Two types of constraints were introduced into the LP models: (i) WHO/FAO Recommended Nutrient Intakes and dietary guidelines for the prevention of chronic diseases; and (ii) dietary patterns based on local food consumption data recently collected in southern Benin in 541 adults. Dietary intakes of the upper tertile of participants for diet quality based on prevention and micronutrient adequacy scores were used in the LP algorithms. Southern area of the Republic of Benin. Local key-players in nutrition (n 30) from the government, academic institutions, international organizations and civil society were partners in the development of the food guide directed at the population. The number of servings per food group and the portion size for eight age-sex groups were determined. For four limiting micronutrients (Fe, Ca, folate and Zn), local diets could be optimized to meet only 70 % of the Recommended Nutrient Intakes, not 100 %. It was possible to determine the daily number of servings and the portion sizes of common foods that can be recommended in Benin with the help of LP to optimize local diets, although Recommended Nutrient Intakes were not fully met for a few critical micronutrients.

  20. Optimal in silico target gene deletion through nonlinear programming for genetic engineering.

    Science.gov (United States)

    Hong, Chung-Chien; Song, Mingzhou

    2010-02-24

    Optimal selection of multiple regulatory genes, known as targets, for deletion to enhance or suppress the activities of downstream genes or metabolites is an important problem in genetic engineering. Such problems become more feasible to address in silico due to the availability of more realistic dynamical system models of gene regulatory and metabolic networks. The goal of the computational problem is to search for a subset of genes to knock out so that the activity of a downstream gene or a metabolite is optimized. Based on discrete dynamical system modeling of gene regulatory networks, an integer programming problem is formulated for the optimal in silico target gene deletion problem. In the first result, the integer programming problem is proved to be NP-hard and equivalent to a nonlinear programming problem. In the second result, a heuristic algorithm, called GKONP, is designed to approximate the optimal solution, involving an approach to prune insignificant terms in the objective function, and the parallel differential evolution algorithm. In the third result, the effectiveness of the GKONP algorithm is demonstrated by applying it to a discrete dynamical system model of the yeast pheromone pathways. The empirical accuracy and time efficiency are assessed in comparison to an optimal, but exhaustive search strategy. Although the in silico target gene deletion problem has enormous potential applications in genetic engineering, one must overcome the computational challenge due to its NP-hardness. The presented solution, which has been demonstrated to approximate the optimal solution in a practical amount of time, is among the few that address the computational challenge. In the experiment on the yeast pheromone pathways, the identified best subset of genes for deletion showed advantage over genes that were selected empirically. Once validated in vivo, the optimal target genes are expected to achieve higher genetic engineering effectiveness than a trial

  1. Optimizing basin-scale coupled water quantity and water quality management with stochastic dynamic programming

    DEFF Research Database (Denmark)

    Davidsen, Claus; Liu, Suxia; Mo, Xingguo

    2015-01-01

    Few studies address water quality in hydro-economic models, which often focus primarily on optimal allocation of water quantities. Water quality and water quantity are closely coupled, and optimal management with focus solely on either quantity or quality may cause large costs in terms of the oth......-er component. In this study, we couple water quality and water quantity in a joint hydro-economic catchment-scale optimization problem. Stochastic dynamic programming (SDP) is used to minimize the basin-wide total costs arising from water allocation, water curtailment and water treatment. The simple water......-economic optimiza-tion model can be used to assess costs of meeting additional constraints such as minimum water qual-ity or to economically prioritize investments in waste water treatment facilities based on economic criteria....

  2. An Application of Dynamic Programming Principle in Corporate International Optimal Investment and Consumption Choice Problem

    Directory of Open Access Journals (Sweden)

    Zongyuan Huang

    2010-01-01

    Full Text Available This paper is concerned with a kind of corporate international optimal portfolio and consumption choice problems, in which the investor can invest her or his wealth either in a domestic bond (bank account or in an oversea real project with production. The bank pays a lower interest rate for deposit and takes a higher rate for any loan. First, we show that Bellman's dynamic programming principle still holds in our setting; second, in terms of the foregoing principle, we obtain the investor's optimal portfolio proportion for a general maximizing expected utility problem and give the corresponding economic analysis; third, for the special but nontrivial Constant Relative Risk Aversion (CRRA case, we get the investors optimal investment and consumption solution; last but not least, we give some numerical simulation results to illustrate the influence of volatility parameters on the optimal investment strategy.

  3. Low-Thrust Many-Revolution Trajectory Optimization via Differential Dynamic Programming and a Sundman Transformation

    Science.gov (United States)

    Aziz, Jonathan D.; Parker, Jeffrey S.; Scheeres, Daniel J.; Englander, Jacob A.

    2018-01-01

    Low-thrust trajectories about planetary bodies characteristically span a high count of orbital revolutions. Directing the thrust vector over many revolutions presents a challenging optimization problem for any conventional strategy. This paper demonstrates the tractability of low-thrust trajectory optimization about planetary bodies by applying a Sundman transformation to change the independent variable of the spacecraft equations of motion to an orbit angle and performing the optimization with differential dynamic programming. Fuel-optimal geocentric transfers are computed with the transfer duration extended up to 2000 revolutions. The flexibility of the approach to higher fidelity dynamics is shown with Earth's J 2 perturbation and lunar gravity included for a 500 revolution transfer.

  4. APPLYING ROBUST RANKING METHOD IN TWO PHASE FUZZY OPTIMIZATION LINEAR PROGRAMMING PROBLEMS (FOLPP

    Directory of Open Access Journals (Sweden)

    Monalisha Pattnaik

    2014-12-01

    Full Text Available Background: This paper explores the solutions to the fuzzy optimization linear program problems (FOLPP where some parameters are fuzzy numbers. In practice, there are many problems in which all decision parameters are fuzzy numbers, and such problems are usually solved by either probabilistic programming or multi-objective programming methods. Methods: In this paper, using the concept of comparison of fuzzy numbers, a very effective method is introduced for solving these problems. This paper extends linear programming based problem in fuzzy environment. With the problem assumptions, the optimal solution can still be theoretically solved using the two phase simplex based method in fuzzy environment. To handle the fuzzy decision variables can be initially generated and then solved and improved sequentially using the fuzzy decision approach by introducing robust ranking technique. Results and conclusions: The model is illustrated with an application and a post optimal analysis approach is obtained. The proposed procedure was programmed with MATLAB (R2009a version software for plotting the four dimensional slice diagram to the application. Finally, numerical example is presented to illustrate the effectiveness of the theoretical results, and to gain additional managerial insights. 

  5. After School: Connecting Children at Risk with Responsible Adults to Help Reduce Youth Substance Abuse and Other Health-Compromising Behaviors--An RWJF National Program. Program Results Reports

    Science.gov (United States)

    Robert Wood Johnson Foundation, 2008

    2008-01-01

    "After School: Connecting Children at Risk With Responsible Adults to Help Reduce Youth Substance Abuse and Other Health-Compromising Behaviors (After School)" helped develop intermediary organizations in Boston, Chicago and the San Francisco Bay Area in order to create citywide systems of after-school programs. The…

  6. Risk-Constrained Dynamic Programming for Optimal Mars Entry, Descent, and Landing

    Science.gov (United States)

    Ono, Masahiro; Kuwata, Yoshiaki

    2013-01-01

    A chance-constrained dynamic programming algorithm was developed that is capable of making optimal sequential decisions within a user-specified risk bound. This work handles stochastic uncertainties over multiple stages in the CEMAT (Combined EDL-Mobility Analyses Tool) framework. It was demonstrated by a simulation of Mars entry, descent, and landing (EDL) using real landscape data obtained from the Mars Reconnaissance Orbiter. Although standard dynamic programming (DP) provides a general framework for optimal sequential decisionmaking under uncertainty, it typically achieves risk aversion by imposing an arbitrary penalty on failure states. Such a penalty-based approach cannot explicitly bound the probability of mission failure. A key idea behind the new approach is called risk allocation, which decomposes a joint chance constraint into a set of individual chance constraints and distributes risk over them. The joint chance constraint was reformulated into a constraint on an expectation over a sum of an indicator function, which can be incorporated into the cost function by dualizing the optimization problem. As a result, the chance-constraint optimization problem can be turned into an unconstrained optimization over a Lagrangian, which can be solved efficiently using a standard DP approach.

  7. Effects of a cognitive behavioral self-help program on depressed mood for people with acquired chronic physical impairments : A pilot randomized controlled trial

    NARCIS (Netherlands)

    Garnefski, Nadia; Kraaij, Vivian; Schroevers, Maya

    2011-01-01

    Objective: Aim was to examine whether a new cognitive-behavioral self-help intervention program was effective in improving depressed mood in people with acquired chronic physical impairments. Methods: Participants were 32 persons with acquired chronic physical impairments and depressive symptoms,

  8. How trained volunteers can improve the quality of hospital care for older patients. A qualitative evaluation within the Hospital Elder Life Program (HELP)

    NARCIS (Netherlands)

    Bas Steunenberg

    2016-01-01

    Full text beschikbaar met HU-account. The aim of this study was to investigate, using a mixed-methods design, the added value of a trained Hospital Elder Life Program (HELP) volunteer to the quality of hospital care in the Netherlands. The trained volunteers daily stimulate older patients, at risk

  9. How trained volunteers can improve the quality of hospital care for older patients. A qualitative evaluation within the Hospital Elder Life Program (HELP)

    NARCIS (Netherlands)

    Steunenberg, Bas; van der Mast, Roos; Strijbos, Marije J.; Inouye, Sharon K.; Schuurmans, Marieke J.

    2016-01-01

    The aim of this study was to investigate, using a mixed-methods design, the added value of a trained Hospital Elder Life Program (HELP) volunteer to the quality of hospital care in the Netherlands. The trained volunteers daily stimulate older patients, at risk of a delirium, to eat, to drink, and to

  10. Persons with Multiple Disabilities Exercise Adaptive Response Schemes with the Help of Technology-Based Programs: Three Single-Case Studies

    Science.gov (United States)

    Lancioni, Giulio E.; Singh, Nirbhay N.; O'Reilly, Mark F.; Sigafoos, Jeff; Oliva, Doretta; Campodonico, Francesca; Lang, Russell

    2012-01-01

    The present three single-case studies assessed the effectiveness of technology-based programs to help three persons with multiple disabilities exercise adaptive response schemes independently. The response schemes included (a) left and right head movements for a man who kept his head increasingly static on his wheelchair's headrest (Study I), (b)…

  11. A Simulation Modeling Framework to Optimize Programs Using Financial Incentives to Motivate Health Behavior Change.

    Science.gov (United States)

    Basu, Sanjay; Kiernan, Michaela

    2016-01-01

    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.

  12. Public health sealant delivery programs: optimal delivery and the cost of practice acts.

    Science.gov (United States)

    Scherrer, Christina R; Griffin, Paul M; Swann, Julie L

    2007-01-01

    The greatest unmet health need for US children is dental care. School-based sealant programs target low-income, high-risk second graders and are effective in preventing caries for as long as the sealant material remains in place. However, it is not clear whether such programs make efficient use of available resources and staffing. The authors used discrete event simulation to determine the optimal combinations of staffing levels and sealant stations for school-based sealant programs. Using data provided by state programs and the literature, they modeled different-sized programs under different practice act constraints and determined times and associated costs. A detailed economic analysis was done for Wisconsin. For general, direct, or indirect supervision, it is optimal to have only 1 dentist or no dentists for no supervision. For general supervision, it is optimal to have the dentist and dental assistant to come on separate days to screen. The cost savings for adding an assistant and chair averaged over all of the program sizes and travel distances ranged from 4.50% (SE= 0.89) to 10.94% (SE= 0.56). Significant cost savings also result from reducing the required supervision level (8.72% [SE = 1.61] to 29.96% [SE= 1.67]). The cost of the practice act for the state of Wisconsin for 2003 was from USD 83,041 to USD 346,156, significantly more than its annual budget. States could save money by relaxing restrictions on the type of personnel who can deliver sealants in public health settings and by productivity gains through proper consideration of staffing. The savings could be used to improve access to sealant programs and further reduce disparities in oral health.

  13. Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

    DEFF Research Database (Denmark)

    Shuai, Hang; Fang, Jiakun; Ai, Xiaomeng

    2018-01-01

    This paper proposes an approximate dynamic programming (ADP) based approach for the economic dispatch (ED) of microgrid with distributed generations (DGs). The time-variant renewable generation, electricity price and the power demand are considered as stochastic variables in this work. An ADP based...... of historical prediction error distribution to reduce the influence of inaccurate forecast on the system operation. Numerical simulations demonstrate the effectiveness of the proposed approach. The near-optimal decision obtained by ADPED is very close to the global optimality. And it can be adaptive to both day...

  14. Multiobjective Optimization of Aircraft Maintenance in Thailand Using Goal Programming: A Decision-Support Model

    Directory of Open Access Journals (Sweden)

    Yuttapong Pleumpirom

    2012-01-01

    Full Text Available The purpose of this paper is to develop the multiobjective optimization model in order to evaluate suppliers for aircraft maintenance tasks, using goal programming. The authors have developed a two-step process. The model will firstly be used as a decision-support tool for managing demand, by using aircraft and flight schedules to evaluate and generate aircraft-maintenance requirements, including spare-part lists. Secondly, they develop a multiobjective optimization model by minimizing cost, minimizing lead time, and maximizing the quality under various constraints in the model. Finally, the model is implemented in the actual airline's case.

  15. A singular value decomposition linear programming (SVDLP) optimization technique for circular cone based robotic radiotherapy.

    Science.gov (United States)

    Liang, Bin; Li, Yongbao; Ran, Wei; Guo, Bin; Xu, Xuang; Liu, Bo; Li, Jiafeng; Wu, Qiuwen; Zhou, Fugen

    2017-11-17

    With robot-controlled linac positioning, the robotic radiotherapy system such as CyberKnife significantly increases the freedom in radiation beam placement, but also imposes more challenges on treatment plan optimization. The resampling mechanism in vendor supplied treatment planning system (MultiPlan) could not fully explore the increased beam direction search space. Besides, a sparse treatment plan (using fewer beams) is desired to improve the treatment efficiency. This study proposes a singular value decomposition linear programming (SVDLP) optimization technique for circular collimator based robotic radiotherapy. The SVDLP approach initializes the input beams by simulating the process of covering the entire target volume with equivalent beam taper. The requirements on dosimetry distribution are modeled as hard and soft constraints, and the sparsity of treatment plan is achieved by compressive sensing. The proposed liner programming (LP) model optimizes beam weight by minimizing the deviation of soft constraints while subjecting to hard constraints, with the constraint on the l1 norm of beam weight. A singular value decomposition (SVD) based acceleration technique was developed for the LP model. Based on the degeneracy of influence matrix, the model is first compressed into lower dimension for optimization, and then back-projected to reconstruct the beam weight. After beam weight optimization, the number of beams is reduced by removing the beams with low weight, and optimizing the weight of remaining beams using the same model. This beam reduction technique is further validated by a mixed integer programming (MIP) model. The SVDLP approach was tested on a lung case. The results demonstrate that the SVD acceleration technique speeds up the optimization by a factor of 4.8. And the beam reduction achieves similar plan quality as the globally optimal plan obtained by MIP model, but is 1-2 orders of magnitude faster. Furthermore, the SVDLP approach

  16. Optimizing diffusion of an online computer tailored lifestyle program: a study protocol

    Directory of Open Access Journals (Sweden)

    Schulz Daniela N

    2011-06-01

    Full Text Available Abstract Background Although the Internet is a promising medium to offer lifestyle interventions to large amounts of people at relatively low costs and effort, actual exposure rates of these interventions fail to meet the high expectations. Since public health impact of interventions is determined by intervention efficacy and level of exposure to the intervention, it is imperative to put effort in optimal dissemination. The present project attempts to optimize the dissemination process of a new online computer tailored generic lifestyle program by carefully studying the adoption process and developing a strategy to achieve sustained use of the program. Methods/Design A prospective study will be conducted to yield relevant information concerning the adoption process by studying the level of adoption of the program, determinants involved in adoption and characteristics of adopters and non-adopters as well as satisfied and unsatisfied users. Furthermore, a randomized control trial will be conducted to the test the effectiveness of a proactive strategy using periodic e-mail prompts in optimizing sustained use of the new program. Discussion Closely mapping the adoption process will gain insight in characteristics of adopters and non-adopters and satisfied and unsatisfied users. This insight can be used to further optimize the program by making it more suitable for a wider range of users, or to develop adjusted interventions to attract subgroups of users that are not reached or satisfied with the initial intervention. Furthermore, by studying the effect of a proactive strategy using period prompts compared to a reactive strategy to stimulate sustained use of the intervention and, possibly, behaviour change, specific recommendations on the use and the application of prompts in online lifestyle interventions can be developed. Trial registration Dutch Trial Register NTR1786 and Medical Ethics Committee of Maastricht University and the University Hospital

  17. Supplemental Nutrition Assistance Program participation did not help low income Hispanic women in Texas meet the dietary guidelines.

    Science.gov (United States)

    Hilmers, Angela; Chen, Tzu-An; Dave, Jayna M; Thompson, Deborah; Cullen, Karen Weber

    2014-05-01

    Low-income Hispanic women are at greater risk for dietary deficiencies and obesity. We assessed the association between Supplemental Nutrition Assistance Program participation and dietary intake among 661 Hispanic women aged 26-44 years living in Texas. Cross-sectional data was collected using standard methods. Analysis of variance and logistic regression examined the influence of Supplemental Nutrition Assistance Program on diet after adjusting for household characteristics, body mass index, and food security status. Most women did not meet recommended dietary guidelines. Supplemental Nutrition Assistance Program participants consumed higher amounts of total sugars, sweets-desserts, and sugar-sweetened beverages than Supplemental Nutrition Assistance Program nonparticipants. High sodium intakes and low dairy consumption were observed in both groups. Only 27% of low-income eligible women received Supplemental Nutrition Assistance Program benefits. Low-income Hispanic women participating in Supplemental Nutrition Assistance Program reported less healthful dietary patterns than nonparticipants. This may contribute to the increased obesity prevalence and related comorbidities observed in this population. Supplemental Nutrition Assistance Program should play an important role in enhancing the overall dietary quality of low-income households. Policy initiatives such as limiting the purchase of sugar-sweetened beverages and education to enable women to reduce consumption of high sodium processed foods deserve consideration as means to improve the dietary quality of Supplemental Nutrition Assistance Program participants. Effective measures are needed to increase Supplemental Nutrition Assistance Program participation rates among Hispanics. Copyright © 2014 Elsevier Inc. All rights reserved.

  18. The Cooperative Agricultural Pest Survey Program (CAPS): scientific support to optimize a national program

    Science.gov (United States)

    Lisa D. Jackson; Daniel A. Fieselmann

    2011-01-01

    The mission of the Cooperative Agricultural Pest Survey (CAPS) program is to provide a survey profile of exotic plant pests in the United States deemed to be of regulatory significance to USDA Animal and Plant Health Inspection Service (APHIS), Plant Protection and Quarantine (PPQ), State Departments of Agriculture, tribal governments, and cooperators by confirming the...

  19. Evaluating Patient Preferences for Different Incentive Programs to Optimize Pharmacist-Provided Patient Care Program Enrollment.

    Science.gov (United States)

    Tomaszewski, Daniel; Cernohous, Tim; Vaidyanathan, Rajiv

    2017-11-01

    Employers have increased efforts to engage employees in health and wellness programs. Providing employees with incentives to participate in these programs has been shown to improve overall enrollment and engagement. One program that has had challenges with enrollment and engagement is medication therapy management (MTM). To (a) determine how individuals evaluate different financial incentives to improve participation in an MTM program and (b) measure the effect of participant characteristics on incentive preference. This study was composed of a paper-based survey administered to participants after focus group sessions. Participants included MTM-eligible beneficiaries from 2 employer groups and included MTM-naive and MTM-experienced participants. Incentive preference was measured based on 3 bipolar scales that compared 3 incentives: $100 gift certificates, $8 copay reduction for 6 months, and $100 added to paycheck. A total of 72 participants completed the survey: 34 participants were MTM experienced, and 38 were MTM naive. Overall participant preference reporting resulted in inconsistencies. Copay reduction was preferred to a gift certificate (55.6% vs. 37.5%); money in paycheck was preferred over copay reduction (48.6% vs. 40.3%); and gift certificates were preferred over money in paycheck (56.9% vs. 22.2%). However, subgroup analysis resulted in a more consistent preference reporting, with MTM-experienced participants consistently preferring copay reduction over gift certificates (67.6% vs. 23.5%) and money in paycheck (55.9% vs. 29.4%). MTM-naive participants preferred a gift certificate over copay reduction (51.4% vs. 44.7%) and cash in paycheck (68.4% vs. 23.7%). The results of this study suggest that gift certificates were preferred by MTM-naive participants, which supports the use of gift certificates as an incentive for MTM-naive patients to enroll in an MTM program. Conversely, the use of a copay reduction program was preferred by MTM

  20. Afterschool Programs: Making a Difference in America's Communities by Improving Academic Achievement, Keeping Kids Safe and Helping Working Families

    Science.gov (United States)

    Afterschool Alliance, 2008

    2008-01-01

    This 2-page resource describes the benefits of afterschool programs for children, youth, and families, including evidence of improved school attendance and engagement learning, improved test scores and grades, and students at greatest risk showing the greatest gains. Additional benefits of afterschool programs include keeping kids safe, healthy,…

  1. Can After-School Programs Help Level the Academic Playing Field for Disadvantaged Youth? Equity Matters. Research Review No. 4

    Science.gov (United States)

    Gardner, Margo; Roth, Jodie L.; Brooks-Gunn, Jeanne

    2009-01-01

    As schools struggle to meet federal achievement standards, after-school programs are increasingly viewed as a potential source of academic support for youth at risk of school failure. The hope among youth advocates and policymakers is that after-school programs can partially compensate for the inequities that plague the nation's schools and play a…

  2. Should Programs Designed to Help IPV Survivors Screen for Mental Health-Related Problems: Voices From the Field.

    Science.gov (United States)

    Simmons, Catherine A; Delaney, Matthew J; Lindsey, Leslie; Whalley, Anna; Murry-Drobot, Olliette; Gayle Beck, J

    2016-05-12

    Qualitative responses that 187 service providers gave to a question assessing whether agencies designed to help intimate partner violence (IPV) survivors should screen for mental health-related problems were analyzed using a version of the concept mapping approach. Nine central clusters emerged from the data analysis, which can be linked to three underlying themes: how the identification of mental health-related problems (i.e., labeling) could be misused when working with IPV survivors, ways screening can be appropriately used to help IPV survivors, and barriers that prevent screening. Findings highlight the importance of trauma-informed approaches across all aspects of service delivery. © The Author(s) 2016.

  3. Evolving a Nelder-Mead Algorithm for Optimization with Genetic Programming.

    Science.gov (United States)

    Fajfar, Iztok; Puhan, Janez; Bűrmen, Árpád

    2017-01-01

    We used genetic programming to evolve a direct search optimization algorithm, similar to that of the standard downhill simplex optimization method proposed by Nelder and Mead ( 1965 ). In the training process, we used several ten-dimensional quadratic functions with randomly displaced parameters and different randomly generated starting simplices. The genetically obtained optimization algorithm showed overall better performance than the original Nelder-Mead method on a standard set of test functions. We observed that many parts of the genetically produced algorithm were seldom or never executed, which allowed us to greatly simplify the algorithm by removing the redundant parts. The resulting algorithm turns out to be considerably simpler than the original Nelder-Mead method while still performing better than the original method.

  4. Stochastic optimal control in infinite dimension dynamic programming and HJB equations

    CERN Document Server

    Fabbri, Giorgio; Święch, Andrzej

    2017-01-01

    Providing an introduction to stochastic optimal control in infinite dimension, this book gives a complete account of the theory of second-order HJB equations in infinite-dimensional Hilbert spaces, focusing on its applicability to associated stochastic optimal control problems. It features a general introduction to optimal stochastic control, including basic results (e.g. the dynamic programming principle) with proofs, and provides examples of applications. A complete and up-to-date exposition of the existing theory of viscosity solutions and regular solutions of second-order HJB equations in Hilbert spaces is given, together with an extensive survey of other methods, with a full bibliography. In particular, Chapter 6, written by M. Fuhrman and G. Tessitore, surveys the theory of regular solutions of HJB equations arising in infinite-dimensional stochastic control, via BSDEs. The book is of interest to both pure and applied researchers working in the control theory of stochastic PDEs, and in PDEs in infinite ...

  5. Optimal local dimming for LED-backlit LCD displays via linear programming

    DEFF Research Database (Denmark)

    Shu, Xiao; Wu, Xiaolin; Forchhammer, Søren

    2012-01-01

    LED-backlit LCD displays hold the promise of improving the image quality while reducing the energy consumption with signal-dependent local dimming. To fully realize such potentials we propose a novel local dimming technique that jointly optimizes the intensities of LED backlights and the attenuat......LED-backlit LCD displays hold the promise of improving the image quality while reducing the energy consumption with signal-dependent local dimming. To fully realize such potentials we propose a novel local dimming technique that jointly optimizes the intensities of LED backlights...... and the attenuations of LCD pixels. The objective is to minimize the distortion in luminance reproduction due to the leakage of LCD and the coarse granularity of the LED lights. The optimization problem is formulated as one of linear programming, and both exact and approximate algorithms are proposed. Simulation...

  6. Sensitivity Analysis of a Mixed Integer Linear Programming Model For Optimal Hydrothermal Energy Generation For Ghana

    Directory of Open Access Journals (Sweden)

    Christian John Etwire

    2015-03-01

    Full Text Available Abstract This paper examines further a Mixed Integer Linear Programming model constructed for optimal hydrothermal energy generation for Ghana as in 1. Post Optimal Analysis is carried out on the model in order to assess its stability to slight variations of some input parameters such as minimum level running costs extra hourly running costs above minimum level and start up costs of each generator on one hand and load demands and reserve margins on the other. The results show that the firm could minimize its cost of power generation if its input parameters were comparable to those lying between the 10 percent and -10 percent range.The10 percent and -10 percent range yielded a range of investment plans for the firmand also provided a basis for the selection of the best optimal solution.

  7. Neural-network-observer-based optimal control for unknown nonlinear systems using adaptive dynamic programming

    Science.gov (United States)

    Liu, Derong; Huang, Yuzhu; Wang, Ding; Wei, Qinglai

    2013-09-01

    In this paper, an observer-based optimal control scheme is developed for unknown nonlinear systems using adaptive dynamic programming (ADP) algorithm. First, a neural-network (NN) observer is designed to estimate system states. Then, based on the observed states, a neuro-controller is constructed via ADP method to obtain the optimal control. In this design, two NN structures are used: a three-layer NN is used to construct the observer which can be applied to systems with higher degrees of nonlinearity and without a priori knowledge of system dynamics, and a critic NN is employed to approximate the value function. The optimal control law is computed using the critic NN and the observer NN. Uniform ultimate boundedness of the closed-loop system is guaranteed. The actor, critic, and observer structures are all implemented in real-time, continuously and simultaneously. Finally, simulation results are presented to demonstrate the effectiveness of the proposed control scheme.

  8. Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control.

    Science.gov (United States)

    Luo, Biao; Liu, Derong; Wu, Huai-Ning; Wang, Ding; Lewis, Frank L

    2017-10-01

    The model-free optimal control problem of general discrete-time nonlinear systems is considered in this paper, and a data-based policy gradient adaptive dynamic programming (PGADP) algorithm is developed to design an adaptive optimal controller method. By using offline and online data rather than the mathematical system model, the PGADP algorithm improves control policy with a gradient descent scheme. The convergence of the PGADP algorithm is proved by demonstrating that the constructed Q -function sequence converges to the optimal Q -function. Based on the PGADP algorithm, the adaptive control method is developed with an actor-critic structure and the method of weighted residuals. Its convergence properties are analyzed, where the approximate Q -function converges to its optimum. Computer simulation results demonstrate the effectiveness of the PGADP-based adaptive control method.

  9. Semi-automatic tool to ease the creation and optimization of GPU programs

    DEFF Research Database (Denmark)

    Jepsen, Jacob

    2014-01-01

    We present a tool that reduces the development time of GPU-executable code. We implement a catalogue of common optimizations specific to the GPU architecture. Through the tool, the programmer can semi-automatically transform a computationally-intensive code section into GPU-executable form...... and apply optimizations thereto. Based on experiments, the code generated by the tool can be 3-256X faster than code generated by an OpenACC compiler, 4-37X faster than optimized CPU code, and attain up to 25% of peak performance of the GPU. We found that by using pattern-matching rules, many...... of the transformations can be performed automatically, which makes the tool usable for both novices and experts in GPU programming....

  10. Constrained Quadratic Programming and Neurodynamics-Based Solver for Energy Optimization of Biped Walking Robots

    Directory of Open Access Journals (Sweden)

    Liyang Wang

    2017-01-01

    Full Text Available The application of biped robots is always trapped by their high energy consumption. This paper makes a contribution by optimizing the joint torques to decrease the energy consumption without changing the biped gaits. In this work, a constrained quadratic programming (QP problem for energy optimization is formulated. A neurodynamics-based solver is presented to solve the QP problem. Differing from the existing literatures, the proposed neurodynamics-based energy optimization (NEO strategy minimizes the energy consumption and guarantees the following three important constraints simultaneously: (i the force-moment equilibrium equation of biped robots, (ii frictions applied by each leg on the ground to hold the biped robot without slippage and tipping over, and (iii physical limits of the motors. Simulations demonstrate that the proposed strategy is effective for energy-efficient biped walking.

  11. Maternal death inquiry and response in India - the impact of contextual factors on defining an optimal model to help meet critical maternal health policy objectives

    Directory of Open Access Journals (Sweden)

    Kalter Henry D

    2011-11-01

    Full Text Available Abstract Background Maternal death reviews have been utilized in several countries as a means of identifying social and health care quality issues affecting maternal survival. From 2005 to 2009, a standardized community-based maternal death inquiry and response initiative was implemented in eight Indian states with the aim of addressing critical maternal health policy objectives. However, state-specific contextual factors strongly influenced the effort's success. This paper examines the impact and implications of the contextual factors. Methods We identified community, public health systems and governance related contextual factors thought to affect the implementation, utilization and up-scaling of the death inquiry process. Then, according to selected indicators, we documented the contextual factors' presence and their impact on the process' success in helping meet critical maternal health policy objectives in four districts of Rajasthan, Madhya Pradesh and West Bengal. Based on this assessment, we propose an optimal model for conducting community-based maternal death inquiries in India and similar settings. Results The death inquiry process led to increases in maternal death notification and investigation whether civil society or government took charge of these tasks, stimulated sharing of the findings in multiple settings and contributed to the development of numerous evidence-based local, district and statewide maternal health interventions. NGO inputs were essential where communities, public health systems and governance were weak and boosted effectiveness in stronger settings. Public health systems participation was enabled by responsive and accountable governance. Communities participated most successfully through India's established local governance Panchayat Raj Institutions. In one instance this led to the development of a multi-faceted intervention well-integrated at multiple levels. Conclusions The impact of several contextual

  12. Implementing an evidence-based parenting program in community agencies: what helps and what gets in the way?

    Science.gov (United States)

    Asgary-Eden, Veronica; Lee, Catherine M

    2012-11-01

    Adoption of evidence-based programs for families by community agencies requires an understanding of variables that influence implementation. Managers and service providers from 64 community agencies reported on variables that affected the implementation of Triple P, an evidence-based parenting program. Both types of stakeholders reported adequate office resources; over half the managers and over two-thirds of service providers reported adequate training. Adequate office resources and positive agency characteristics, including organizational climate, were associated with higher program usage. Service providers' reports of the variables impacted their individual adherence rates; managers had broader perspectives of the quality of implementation in their organizations.

  13. Exploration of Genetic Programming Optimal Parameters for Feature Extraction from Remote Sensed Imagery

    Science.gov (United States)

    Gao, P.; Shetty, S.; Momm, H. G.

    2014-11-01

    Evolutionary computation is used for improved information extraction from high-resolution satellite imagery. The utilization of evolutionary computation is based on stochastic selection of input parameters often defined in a trial-and-error approach. However, exploration of optimal input parameters can yield improved candidate solutions while requiring reduced computation resources. In this study, the design and implementation of a system that investigates the optimal input parameters was researched in the problem of feature extraction from remotely sensed imagery. The two primary assessment criteria were the highest fitness value and the overall computational time. The parameters explored include the population size and the percentage and order of mutation and crossover. The proposed system has two major subsystems; (i) data preparation: the generation of random candidate solutions; and (ii) data processing: evolutionary process based on genetic programming, which is used to spectrally distinguish the features of interest from the remaining image background of remote sensed imagery. The results demonstrate that the optimal generation number is around 1500, the optimal percentage of mutation and crossover ranges from 35% to 40% and 5% to 0%, respectively. Based on our findings the sequence that yielded better results was mutation over crossover. These findings are conducive to improving the efficacy of utilizing genetic programming for feature extraction from remotely sensed imagery.

  14. Stress-constrained truss topology optimization problems that can be solved by linear programming

    DEFF Research Database (Denmark)

    Stolpe, Mathias; Svanberg, Krister

    2004-01-01

    We consider the problem of simultaneously selecting the material and determining the area of each bar in a truss structure in such a way that the cost of the structure is minimized subject to stress constraints under a single load condition. We show that such problems can be solved by linear...... programming to give the global optimum, and that two different materials are always sufficient in an optimal structure....

  15. Facilitating mental health help-seeking by young adults with a dedicated online program: a feasibility study of Link.

    Science.gov (United States)

    Kauer, Sylvia D; Buhagiar, Kerrie; Blake, Victoria; Cotton, Sue; Sanci, Lena

    2017-07-09

    To explore the feasibility of a dedicated online youth mental health help-seeking intervention and to evaluate using a randomised controlled trial (RCT) study design in order to identify any modifications needed before commencement of the full-scale RCT. A pilot RCT with 1:1 randomisation to either the intervention or comparison arm. An online study conducted Australia-wide. 18-25 year olds living in Australia were recruited via social media. Link is a dedicated online mental health help-seeking navigation tool that matches user's mental health issues, severity and service-type preferences (online, phone and face-to-face) with appropriate youth-friendly services. The comparison arm was usual help-seeking strategies with a link to Google.com. The primary outcome was the number of acceptability and feasibility criteria successfully met. Intervention and study design acceptability and feasibility were assessed by nine criteria. Secondary outcomes, via online surveys (at baseline, 1 week and 1 month) measured service use, help-seeking intentions, psychological distress, barriers to help-seeking, attitudes towards mental health help-seeking, mental health literacy, satisfaction and trust. Fifty-one participants were randomised (intervention: n=24; comparison: n=27). Three out of four of the intervention and two out of five of the study design criteria were met. Unmet criteria could be addressed by modifications to the study design. Qualitative analysis demonstrated that Link was useful to participants and may have increased their positive experiences towards help-seeking. There were no observable differences between arms in any outcome measures and no harms were detected. Generally, the Link intervention and study design were acceptable and feasible with modifications suggested for the four out of nine unmet criteria. The main trial will hence have shorter surveys and a simpler recruitment process, use positive affect as the primary outcome and will not link to

  16. AI-BL1.0: a program for automatic on-line beamline optimization using the evolutionary algorithm.

    Science.gov (United States)

    Xi, Shibo; Borgna, Lucas Santiago; Zheng, Lirong; Du, Yonghua; Hu, Tiandou

    2017-01-01

    In this report, AI-BL1.0, an open-source Labview-based program for automatic on-line beamline optimization, is presented. The optimization algorithms used in the program are Genetic Algorithm and Differential Evolution. Efficiency was improved by use of a strategy known as Observer Mode for Evolutionary Algorithm. The program was constructed and validated at the XAFCA beamline of the Singapore Synchrotron Light Source and 1W1B beamline of the Beijing Synchrotron Radiation Facility.

  17. Application of genetic programming in shape optimization of concrete gravity dams by metaheuristics

    Directory of Open Access Journals (Sweden)

    Abdolhossein Baghlani

    2014-12-01

    Full Text Available A gravity dam maintains its stability against the external loads by its massive size. Hence, minimization of the weight of the dam can remarkably reduce the construction costs. In this paper, a procedure for finding optimal shape of concrete gravity dams with a computationally efficient approach is introduced. Genetic programming (GP in conjunction with metaheuristics is used for this purpose. As a case study, shape optimization of the Bluestone dam is presented. Pseudo-dynamic analysis is carried out on a total number of 322 models in order to establish a database of the results. This database is then used to find appropriate relations based on GP for design criteria of the dam. This procedure eliminates the necessity of the time-consuming process of structural analyses in evolutionary optimization methods. The method is hybridized with three different metaheuristics, including particle swarm optimization, firefly algorithm (FA, and teaching–learning-based optimization, and a comparison is made. The results show that although all algorithms are very suitable, FA is slightly superior to other two algorithms in finding a lighter structure in less number of iterations. The proposed method reduces the weight of dam up to 14.6% with very low computational effort.

  18. Optimizing the herd calving pattern with linear programming and dynamic probabilistic simulation.

    Science.gov (United States)

    Jalvingh, A W; Dijkhuizen, A A; Van Arendonk, J A

    1994-06-01

    Until recently, little attention has been paid to the influence of seasonal variation in performance and prices on the optimal calving pattern of a herd. A method was developed to determine the herd calving pattern that is farm-specific and optimal with use of linear programming. The required technical and economic parameters are calculated with a dynamic probabilistic simulation model of the dairy herd. The approach was illustrated with a situation in which the objective was to maximize the gross margin of the herd and the annual milk production of the herd was restricted, resulting in an optimal calving pattern: all heifers calved during August. When, in addition, only home-reared replacement heifers were allowed to enter the herd, heifer calvings took place from July to October. The gross margin was reduced by only Dfl. .13/100 kg of milk ($1 US = 1.80 Dfl.) as a result of the additional constraint. The sensitivity of the optimal calving pattern of herd was determined for lower reproductive performance and when seasonal price variation was ignored. The method described herein is a flexible tool for determining the optimal calving pattern of herd, taking into account farm-specific inputs and constraints.

  19. Optimal planning of gas turbine cogeneration system based on linear programming

    Energy Technology Data Exchange (ETDEWEB)

    Oh, S.D. [Hyosung Corp., Seoul (Korea, Republic of); Kwak, H.Y. [Chung-Ang Univ., Seoul (Korea, Republic of). Dept. of Mechanical Engineering

    2005-07-01

    Cogeneration systems can result in significant energy efficiency improvements because they produce electrical and heat energy simultaneously from a single source of fuel. This paper discussed planning and design optimization practices for the successful application of a gas turbine cogeneration plant in a hotel and a public building. It was suggested that planners should determine the optimal plant configuration by first selecting the size and number of auxiliary equipment, as well as considering annual electricity costs and heat and cooling requirements. An optimal planning method was presented, employing system configurations among possible combinations of equipment, operational plans and energy demand patterns. A mixed-integer linear program and branch and bound algorithms were adapted to obtain the optimal configuration, based on an annual cost method. A public building and a hotel in Seoul, Korea were selected as case studies. Energy demand patterns for both buildings were presented, with details of maximum outputs and initial equipment costs for co-generation plants. Payback periods and internal rates of return were examined. It was concluded that the optimal configuration of the cogeneration plant is determined by considering the annual energy demand patterns of both buildings, as these patterns are a crucial parameter in determining the feasibility of a cogeneration plant. It was suggested that the methods presented in this study may provide the best configuration of a cogeneration plant fitted to a hotel, or public buildings. 6 refs., 9 tabs., 6 figs.

  20. An optimal energy allocation model using fuzzy linear programming for energy planning in India for the year 2020

    Energy Technology Data Exchange (ETDEWEB)

    Jebaraj, S.; Iniyan, S. [Anna University, Chennai (India). Dept. of Mechanical Engineering

    2007-07-01

    Development of an energy allocation model will help in the proper allocation of the energy sources in meeting the future energy demand in India. In this paper, an attempt has been made to develop a fuzzy-based linear programming optimal energy model that minimises the cost and determines the optimum allocation of different energy sources for the centralised and decentralised power generation in India. The potential, energy demand, efficiency, emission and carbon tax are used as constraints in the model. The model allocates the energy distribution pattern for the year 2020 in India. The results indicate that the energy distribution pattern would be 15,800 GWh (4%) from the coal-based plants, 85,400 GWh (20%) from the nuclear plants, 191,100 GWh (44%) from the hydro plants, 22,400 GWh (5%) from the wind turbine generators, 45,520 GWh (11%) from the biomass gasifier plants, 14,112 GWh (3%) from the biogas plants, 8400 GWh (2%) from the solid waste, 33,600 GWh (8%) from the cogeneration plants and 11,970 GWh (3%) from the mini-hydel plants, for the year 2020. A sensitivity analysis has been done to validate the OEAM model. This study will help in the formation of strategies for the effective utilisation of energy sources in India.

  1. An optimal energy allocation model using fuzzy linear programming for energy planning in India for the year 2020

    Energy Technology Data Exchange (ETDEWEB)

    Jebaraj, S.; Iniyan, S. [Anna University, Chennai (India). Department of Mechanical Engineering

    2004-08-15

    Development of an energy allocation model will help in the proper allocation of the energy sources in meeting the future energy demand in India. In this paper, an attempt has been made to develop a fuzzy-based linear programming optimal energy model that minimises the cost and determines the optimum allocation of different energy sources for the centralised and decentralised power generation in India. The potential, energy demand, efficiency, emission and carbon tax are used as constraints in the model. The model allocates the energy distribution pattern for the year 2020 in India. The results indicate that the energy distribution pattern would be 15,800 GWh (4%) from the coal-based plants, 85 400 GWh (20%) from the nuclear plants, 191,100 GWh (44%) from the hydro plants, 22 400 GWh (5%) from the wind turbine generators, 45,520 GWh (11%) from the biomass gasifier plants, 14,112 GWh (3%) from the biogas plants, 8400 GWh (2%) from the solid waste, 33,600 GWh (8%) from the cogeneration plants and 11,970 GWh (3%) from the mini-hydel plants, for the year 2020. A sensitivity analysis has been done to validate the OEAM model. This study will help in the formation of strategies for the effective utilisation of energy sources in India.

  2. The Soul's Legacy: A Program Designed to Help Prepare Senior Adults Cope With End-of-Life Existential Distress.

    Science.gov (United States)

    Grewe, Fred

    2017-01-01

    Current innovative psychological therapies have made great progress in addressing existential suffering in dying patients but are often begun to late in the end-of-life process and often ignore religion, which for many is a major component in the meaning-making process. Therefore, this article explores how chaplains (who are familiar with various religious traditions without promoting them) can help prepare senior adults effectively cope with inevitable end-of-life existential issues. The project described in this article provides tools for chaplains to address the real issues that terrify us all, but particularly the elderly: death, isolation, and meaninglessness. It is proposed that the addition of a spiritual will or legacy of the soul added to end-of-life planning can help ameliorate existential suffering at life's end.

  3. A look at a community coming together to meet the needs of older adults: an evaluation of the neighbors Helping Neighbors program.

    Science.gov (United States)

    Trickey, Rebecca; Kelley-Gillespie, Nancy; Farley, O William

    2008-01-01

    The purpose of this study was to evaluate the effectiveness of the Neighbors Helping Neighbors program. The study included surveys of 49 community-residing older adults and 26 community volunteers. Results showed that older adults perceived their quality of life to have improved after receiving social and environmental services; volunteers felt that their contributions to the program had made a significant difference in their community. This exploratory, descriptive study is only a beginning effort, but it holds great promise for suggesting ways to address the needs of the burgeoning aging population in our society.

  4. Automated design and optimization of flexible booster autopilots via linear programming, volume 1

    Science.gov (United States)

    Hauser, F. D.

    1972-01-01

    A nonlinear programming technique was developed for the automated design and optimization of autopilots for large flexible launch vehicles. This technique, which resulted in the COEBRA program, uses the iterative application of linear programming. The method deals directly with the three main requirements of booster autopilot design: to provide (1) good response to guidance commands; (2) response to external disturbances (e.g. wind) to minimize structural bending moment loads and trajectory dispersions; and (3) stability with specified tolerances on the vehicle and flight control system parameters. The method is applicable to very high order systems (30th and greater per flight condition). Examples are provided that demonstrate the successful application of the employed algorithm to the design of autopilots for both single and multiple flight conditions.

  5. Does a self-referral counselling program reach doctors in need of help? A comparison with the general Norwegian doctor workforce

    Directory of Open Access Journals (Sweden)

    Gude Tore

    2007-03-01

    Full Text Available Abstract Background Doctors have a relatively high degree of emotional distress, but seek help to a lesser degree and at a later stage than other academic groups. This can be deleterious for themselves and for their patients. Prevention programs have therefore been developed but it is unclear to what extent they reach doctors in need of help. This study describes doctors who participated in a self-referrral, easily accessible, stress relieving, counselling program in Norway, and compares them with a nationwide sample of Norwegian doctors. Methods Two hundred and twenty seven (94% of the doctors, 117 women and 110 men, who came to the resort centre Villa Sana, Modum, Norway, between August 2003 and July 2005, agreed to participate in the study. Socio-demographic data, reasons for and ways of help-seeking, sick-leave, symptoms of depression and anxiety, job stress and burnout were assessed by self-reporting questionnaires. Results Forty-nine percent of the Sana doctors were emotionally exhausted (Maslach compared with 25% of all Norwegian doctors. However, they did not differ on empathy and working capacity, the other two dimensions in Maslach's burnout inventory. Seventy-three percent of the Sana doctors could be in need of treatment for depression or anxiety based on their symptom distress scores, compared with 14% of men and 18% of women doctors in Norway. Twenty-one percent of the Sana doctors had a history of suicidal thoughts, including how to commit the act, as compared to 10% of Norwegian doctors in general. Conclusion Sana doctors displayed a higher degree of emotional exhaustion, symptoms of depression and anxiety as well as job related stress, compared with all Norwegian doctors. This may indicate that the program at Villa Sana to a large extent reaches doctors in need of help. The counselling intervention can help doctors to evaluate their professional and private situation, and, when necessary, enhance motivation for seeking adequate

  6. Does a self-referral counselling program reach doctors in need of help? A comparison with the general Norwegian doctor workforce.

    Science.gov (United States)

    Rø, Karin E Isaksson; Gude, Tore; Aasland, Olaf G

    2007-03-16

    Doctors have a relatively high degree of emotional distress, but seek help to a lesser degree and at a later stage than other academic groups. This can be deleterious for themselves and for their patients. Prevention programs have therefore been developed but it is unclear to what extent they reach doctors in need of help. This study describes doctors who participated in a self-referrral, easily accessible, stress relieving, counselling program in Norway, and compares them with a nationwide sample of Norwegian doctors. Two hundred and twenty seven (94%) of the doctors, 117 women and 110 men, who came to the resort centre Villa Sana, Modum, Norway, between August 2003 and July 2005, agreed to participate in the study. Socio-demographic data, reasons for and ways of help-seeking, sick-leave, symptoms of depression and anxiety, job stress and burnout were assessed by self-reporting questionnaires. Forty-nine percent of the Sana doctors were emotionally exhausted (Maslach) compared with 25% of all Norwegian doctors. However, they did not differ on empathy and working capacity, the other two dimensions in Maslach's burnout inventory. Seventy-three percent of the Sana doctors could be in need of treatment for depression or anxiety based on their symptom distress scores, compared with 14% of men and 18% of women doctors in Norway. Twenty-one percent of the Sana doctors had a history of suicidal thoughts, including how to commit the act, as compared to 10% of Norwegian doctors in general. Sana doctors displayed a higher degree of emotional exhaustion, symptoms of depression and anxiety as well as job related stress, compared with all Norwegian doctors. This may indicate that the program at Villa Sana to a large extent reaches doctors in need of help. The counselling intervention can help doctors to evaluate their professional and private situation, and, when necessary, enhance motivation for seeking adequate treatment.

  7. Don't Hate, Just Mediate: Understanding the Impact of a Conflict Mediation Program on Adolescents' Experiences with Conflict, Safety and Help Seeking in Urban Schools

    OpenAIRE

    Gillespie, Jonathan

    2014-01-01

    Conflict, bullying and harassment are serious concerns in our public schools. This kind of school violence threatens not only students' health and safety, but also their ability to learn and have positive, educational experiences. Numerous individual and environmental factors contribute to students' decisions about how to respond to conflict or seek help for these problems. Conflict mediation is one type of program that has received widespread support and adoption; however, the results of man...

  8. Yoga Helps Put the Pieces Back Together: A Qualitative Exploration of a Community-Based Yoga Program for Cancer Survivors

    Science.gov (United States)

    Wurz, Amanda J.; Yamauchi, Yayoi; Pires, Lanie Ann

    2016-01-01

    Objective. A qualitative research methods approach was used to explore the experiences of participants in an ongoing community-based yoga program developed for cancer survivors and their support persons. Methods. 25 participants took part in a series of semistructured focus groups following a seven-week yoga program and at three- and six-month follow-ups. Focus groups were transcribed verbatim and analyzed using a process of inductive thematic analysis. Results. The group was comprised of 20 cancer survivors, who were diagnosed on average 25.40 (20.85) months earlier, and five support persons. Participants had completed the yoga program an average of 3.35 (3.66) times previously and attended approximately 1.64 (0.70) of three possible focus groups. Four key themes were identified: (1) safety and shared understanding; (2) cancer-specific yoga instruction; (3) benefits of yoga participation; (4) mechanisms of yoga practice. Conclusions. Qualitative research provides unique and in-depth insight into the yoga experience. Specifically, cancer survivors and support persons participating in a community-based yoga program discussed their experiences of change over time and were acutely aware of the beneficial effects of yoga on their physical, psychological, and social well-being. Further, participants were able to articulate the mechanisms they perceived as underpinning the relationship between yoga and improved well-being as they developed their yoga practice. PMID:27974899

  9. Yoga Helps Put the Pieces Back Together: A Qualitative Exploration of a Community-Based Yoga Program for Cancer Survivors

    Directory of Open Access Journals (Sweden)

    Michael J. Mackenzie

    2016-01-01

    Full Text Available Objective. A qualitative research methods approach was used to explore the experiences of participants in an ongoing community-based yoga program developed for cancer survivors and their support persons. Methods. 25 participants took part in a series of semistructured focus groups following a seven-week yoga program and at three- and six-month follow-ups. Focus groups were transcribed verbatim and analyzed using a process of inductive thematic analysis. Results. The group was comprised of 20 cancer survivors, who were diagnosed on average 25.40 (20.85 months earlier, and five support persons. Participants had completed the yoga program an average of 3.35 (3.66 times previously and attended approximately 1.64 (0.70 of three possible focus groups. Four key themes were identified: (1 safety and shared understanding; (2 cancer-specific yoga instruction; (3 benefits of yoga participation; (4 mechanisms of yoga practice. Conclusions. Qualitative research provides unique and in-depth insight into the yoga experience. Specifically, cancer survivors and support persons participating in a community-based yoga program discussed their experiences of change over time and were acutely aware of the beneficial effects of yoga on their physical, psychological, and social well-being. Further, participants were able to articulate the mechanisms they perceived as underpinning the relationship between yoga and improved well-being as they developed their yoga practice.

  10. Helping Head Start Parents Promote Their Children's Kindergarten Adjustment: The Research-Based Developmentally Informed Parent Program

    Science.gov (United States)

    Bierman, Karen L.; Welsh, Janet A.; Heinrichs, Brenda S.; Nix, Robert L.; Mathis, Erin T.

    2015-01-01

    Head Start enhances school readiness during preschool, but effects diminish after children transition into kindergarten. Designed to promote sustained gains, the Research-based Developmentally Informed (REDI) Parent program (REDI-P) provided home visits before and after the kindergarten transition, giving parents evidence-based learning games,…

  11. Can Architects Help Transform Public Education? What the Sarasota County Civic School Building Program (1955-1960) Teaches Us

    Science.gov (United States)

    Paley, Nicholas B.

    2013-01-01

    The Sarasota County School Building Program 1955-1960 is revisited through a detailed examination of how architects and educators collaborated to design an innovative group of public schools that provided opportunities for the transformation of learning space. This multi-dimensioned examination is grounded in an historical contextualization of the…

  12. Instruction to Help Young Children Develop Language and Literacy Skills: The Roles of Program Design and Instructional Guidance

    Science.gov (United States)

    Gunn, Barbara; Vadasy, Patricia; Smolkowski, Keith

    2011-01-01

    This article discusses the kinds of instructional activities that young children need to develop basic language and literacy skills based on recent research and program evaluations. This includes approaches to develop alphabetic understanding, phonological awareness, vocabulary, and oral language. Activities and materials from the Pre-kindergarten…

  13. Students Helping Students: Evaluating a Pilot Program of Peer Teaching for an Undergraduate Course in Human Anatomy

    Science.gov (United States)

    Bruno, Paul A.; Love Green, Jennifer K.; Illerbrun, Sara L.; Holness, Duncan A.; Illerbrun, Samantha J.; Haus, Kara A.; Poirier, Sylvianne M.; Sveinson, Katherine L.

    2016-01-01

    The educational literature generally suggests that supplemental instruction (SI) is effective in improving academic performance in traditionally difficult courses. A pilot program of peer teaching based on the SI model was implemented for an undergraduate course in human anatomy. Students in the course were stratified into three groups based on…

  14. Students helping students: Evaluating a pilot program of peer teaching for an undergraduate course in human anatomy

    Science.gov (United States)

    Love Green, Jennifer K.; Illerbrun, Sara L.; Holness, Duncan A.; Illerbrun, Samantha J.; Haus, Kara A.; Poirier, Sylvianne M.; Sveinson, Katherine L.

    2015-01-01

    The educational literature generally suggests that supplemental instruction (SI) is effective in improving academic performance in traditionally difficult courses. A pilot program of peer teaching based on the SI model was implemented for an undergraduate course in human anatomy. Students in the course were stratified into three groups based on the number of peer teaching sessions they attended: nonattendees (0 sessions), infrequently attended (1‐3 sessions), and frequently attended (≥ 4 sessions). After controlling for academic preparedness [i.e., admission grade point average (AGPA)] using an analysis of covariance, the final grades of frequent attendees were significantly higher than those of nonattendees (P = 0.025) and infrequent attendees (P = 0.015). A multiple regression analysis was performed to estimate the relative independent contribution of several variables in predicting the final grade. The results suggest that frequent attendance (β = 0.245, P = 0.007) and AGPA (β = 0.555, P student (β = −0.217, P = 0.006) was a significant negative predictor. Collectively, these results suggest that attending a certain number of sessions may be required to gain a noticeable benefit from the program, and that first‐year students (particularly those with a lower level of academic preparedness) would likely stand to benefit from maximally using the program. End‐of‐semester surveys and reports indicate that the program had several additional benefits, both to the students taking the course and to the students who served as program leaders. Anat Sci Educ 9: 132–142. © 2015 The Authors. Anatomical Sciences Education published by Wiley Periodicals Inc. on behalf of the American Association of Anatomists. PMID:26060978

  15. Students helping students: Evaluating a pilot program of peer teaching for an undergraduate course in human anatomy.

    Science.gov (United States)

    Bruno, Paul A; Love Green, Jennifer K; Illerbrun, Sara L; Holness, Duncan A; Illerbrun, Samantha J; Haus, Kara A; Poirier, Sylvianne M; Sveinson, Katherine L

    2016-01-01

    The educational literature generally suggests that supplemental instruction (SI) is effective in improving academic performance in traditionally difficult courses. A pilot program of peer teaching based on the SI model was implemented for an undergraduate course in human anatomy. Students in the course were stratified into three groups based on the number of peer teaching sessions they attended: nonattendees (0 sessions), infrequently attended (1-3 sessions), and frequently attended (≥ 4 sessions). After controlling for academic preparedness [i.e., admission grade point average (AGPA)] using an analysis of covariance, the final grades of frequent attendees were significantly higher than those of nonattendees (P = 0.025) and infrequent attendees (P = 0.015). A multiple regression analysis was performed to estimate the relative independent contribution of several variables in predicting the final grade. The results suggest that frequent attendance (β = 0.245, P = 0.007) and AGPA (β = 0.555, P < 0.001) were significant positive predictors, while being a first-year student (β = -0.217, P = 0.006) was a significant negative predictor. Collectively, these results suggest that attending a certain number of sessions may be required to gain a noticeable benefit from the program, and that first-year students (particularly those with a lower level of academic preparedness) would likely stand to benefit from maximally using the program. End-of-semester surveys and reports indicate that the program had several additional benefits, both to the students taking the course and to the students who served as program leaders. Published 2015 American Association of Anatomists.

  16. Optimization of in-vivo monitoring program for radiation emergency response

    Energy Technology Data Exchange (ETDEWEB)

    Ha, Wi Ho; Kim, Jong Kyung [Dept. of Nuclear Engineering, Hanyang University, Seoul (Korea, Republic of)

    2016-12-15

    In case of radiation emergencies, internal exposure monitoring for the members of public will be required to confirm internal contamination of each individual. In-vivo monitoring technique using portable gamma spectrometer can be easily applied for internal exposure monitoring in the vicinity of the on-site area. In this study, minimum detectable doses (MDDs) for '1'3'4Cs, {sup 137}Cs, and {sup 131}I were calculated adjusting minimum detectable activities (MDAs) from 50 to 1,000 Bq to find out the optimal in-vivo counting condition. DCAL software was used to derive retention fraction of Cs and I isotopes in the whole body and thyroid, respectively. A minimum detectable level was determined to set committed effective dose of 0.1 mSv for emergency response. We found that MDDs at each MDA increased along with the elapsed time. 1,000 Bq for {sup 134}Cs and {sup 137}Cs, and 100 Bq for {sup 131}I were suggested as optimal MDAs to provide in-vivo monitoring service in case of radiation emergencies. In-vivo monitoring program for emergency response should be designed to achieve the optimal MDA suggested from the present work. We expect that a reduction of counting time compared with routine monitoring program can achieve the high throughput system in case of radiation emergencies.

  17. Multiobjective Genetic Algorithms Program for the Optimization of an OTA for Front-End Electronics

    Directory of Open Access Journals (Sweden)

    Abdelghani Dendouga

    2014-01-01

    Full Text Available The design of an interface to a specific sensor induces costs and design time mainly related to the analog part. So to reduce these costs, it should have been standardized like digital electronics. The aim of the present work is the elaboration of a method based on multiobjectives genetic algorithms (MOGAs to allow automated synthesis of analog and mixed systems. This proposed methodology is used to find the optimal dimensional transistor parameters (length and width in order to obtain operational amplifier performances for analog and mixed CMOS-(complementary metal oxide semiconductor- based circuit applications. Six performances are considered in this study, direct current (DC gain, unity-gain bandwidth (GBW, phase margin (PM, power consumption (P, area (A, and slew rate (SR. We used the Matlab optimization toolbox to implement the program. Also, by using variables obtained from genetic algorithms, the operational transconductance amplifier (OTA is simulated by using Cadence Virtuoso Spectre circuit simulator in standard TSMC (Taiwan Semiconductor Manufacturing Company RF 0.18 μm CMOS technology. A good agreement is observed between the program optimization and electric simulation.

  18. A Constraint programming-based genetic algorithm for capacity output optimization

    Directory of Open Access Journals (Sweden)

    Kate Ean Nee Goh

    2014-10-01

    Full Text Available Purpose: The manuscript presents an investigation into a constraint programming-based genetic algorithm for capacity output optimization in a back-end semiconductor manufacturing company.Design/methodology/approach: In the first stage, constraint programming defining the relationships between variables was formulated into the objective function. A genetic algorithm model was created in the second stage to optimize capacity output. Three demand scenarios were applied to test the robustness of the proposed algorithm.Findings: CPGA improved both the machine utilization and capacity output once the minimum requirements of a demand scenario were fulfilled. Capacity outputs of the three scenarios were improved by 157%, 7%, and 69%, respectively.Research limitations/implications: The work relates to aggregate planning of machine capacity in a single case study. The constraints and constructed scenarios were therefore industry-specific.Practical implications: Capacity planning in a semiconductor manufacturing facility need to consider multiple mutually influenced constraints in resource availability, process flow and product demand. The findings prove that CPGA is a practical and an efficient alternative to optimize the capacity output and to allow the company to review its capacity with quick feedback.Originality/value: The work integrates two contemporary computational methods for a real industry application conventionally reliant on human judgement.

  19. Interactive software tool to comprehend the calculation of optimal sequence alignments with dynamic programming.

    Science.gov (United States)

    Ibarra, Ignacio L; Melo, Francisco

    2010-07-01

    Dynamic programming (DP) is a general optimization strategy that is successfully used across various disciplines of science. In bioinformatics, it is widely applied in calculating the optimal alignment between pairs of protein or DNA sequences. These alignments form the basis of new, verifiable biological hypothesis. Despite its importance, there are no interactive tools available for training and education on understanding the DP algorithm. Here, we introduce an interactive computer application with a graphical interface, for the purpose of educating students about DP. The program displays the DP scoring matrix and the resulting optimal alignment(s), while allowing the user to modify key parameters such as the values in the similarity matrix, the sequence alignment algorithm version and the gap opening/extension penalties. We hope that this software will be useful to teachers and students of bioinformatics courses, as well as researchers who implement the DP algorithm for diverse applications. The software is freely available at: http:/melolab.org/sat. The software is written in the Java computer language, thus it runs on all major platforms and operating systems including Windows, Mac OS X and LINUX. All inquiries or comments about this software should be directed to Francisco Melo at fmelo@bio.puc.cl.

  20. Improving surgical resident's performance in the American Board of Surgery in Training Examination (ABSITE)--do review courses help? The program directors' perspective.

    Science.gov (United States)

    Taggarshe, Deepa; Mittal, Vijay

    2011-01-01

    The implementation of the 80-hour week compounded by the need for the current trainee to be well versed technically with the newer developments in surgery has resulted in limited time for didactic education. Commercial American Board of Surgery in Training examination (ABSITE) review courses are flourishing and may seem to be filling the gap in didactic education. This study ascertained the opinion of the general surgery program directors across the country on the role of the review courses in the ABSITE performance of a surgical resident. A questionnaire was designed and sent out to all program directors using online survey. Sixty-five of 242 program directors completed the questionnaire. Fifty-seven percent belonged to university-based surgical residency programs. Seventy-two percent used ABSITE performance as a measure while evaluating the resident for promotion. Although 60% agreed that review courses help the performance of the residents, 80% did not have any institutional or regional review courses. Ninety percent allowed their residents to attend commercial review courses but 60% did not reimburse them. Program directors do feel that ABSITE by itself is important in evaluating the progression of surgical residents and has a correlation with the boards' pass percentile. Due to the limited hours available for didactics in current surgical residency, intensive review course over a 2- to 3-day period may help the surgical residents to perform better. In the current economy, review courses offered by a consortium of programs geared toward improving ABSITE performance and conducted by the surgical faculty may be of essence. Copyright © 2011 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  1. Helping Teens Cope.

    Science.gov (United States)

    Jones, Jami I.

    2003-01-01

    Considers the role of school library media specialists in helping teens cope with developmental and emotional challenges. Discusses resiliency research, and opportunities to develop programs and services especially for middle school and high school at-risk teens. (LRW)

  2. Helping Head Start Parents Promote Their Children's Kindergarten Adjustment: The Research-Based Developmentally Informed Parent Program.

    Science.gov (United States)

    Bierman, Karen L; Welsh, Janet A; Heinrichs, Brenda S; Nix, Robert L; Mathis, Erin T

    2015-01-01

    Head Start enhances school readiness during preschool, but effects diminish after children transition into kindergarten. Designed to promote sustained gains, the Research-based Developmentally Informed (REDI) Parent program (REDI-P) provided home visits before and after the kindergarten transition, giving parents evidence-based learning games, interactive stories, and guided pretend play to use with their children. To evaluate impact, two hundred 4-year-old children in Head Start REDI classrooms were randomly assigned to REDI-P or a comparison condition (mail-home math games). Beyond the effects of the classroom program, REDI-P promoted significant improvements in child literacy skills, academic performance, self-directed learning, and social competence, demonstrating the utility of the approach in promoting gains in cognitive and social-emotional skills evident after the transition into kindergarten. © 2015 The Authors. Child Development © 2015 Society for Research in Child Development, Inc.

  3. Optimizing Key Parameters of Ground Delay Program with Uncertain Airport Capacity

    Directory of Open Access Journals (Sweden)

    Jixin Liu

    2017-01-01

    Full Text Available The Ground Delay Program (GDP relies heavily on the capacity of the subject airport, which, due to its uncertainty, adds to the difficulty and suboptimality of GDP operation. This paper proposes a framework for the joint optimization of GDP key parameters including file time, end time, and distance. These parameters are articulated and incorporated in a GDP model, based on which an optimization problem is proposed and solved under uncertain airport capacity. Unlike existing literature, this paper explicitly calculates the optimal GDP file time, which could significantly reduce the delay times as shown in our numerical study. We also propose a joint GDP end-time-and-distance model solved with genetic algorithm. The optimization problem takes into account the GDP operational efficiency, airline and flight equity, and Air Traffic Control (ATC risks. A simulation study with real-world data is undertaken to demonstrate the advantage of the proposed framework. It is shown that, in comparison with the current GDP in operation, the proposed solution reduces the total delay time, unnecessary ground delay, and unnecessary ground delay flights by 14.7%, 50.8%, and 48.3%, respectively. The proposed GDP strategy has the potential to effectively reduce the overall delay while maintaining the ATC safety risk within an acceptable level.

  4. An innovative lab-based training program to help patient groups understand their disease and the research process.

    Directory of Open Access Journals (Sweden)

    Marion Mathieu

    2015-02-01

    Full Text Available Genuine partnership between patient groups and medical experts is important but challenging. Our training program meets this challenge by organizing hands-on, lab-based training sessions for members of patient groups. These sessions allow "trainees" to better understand their disease and the biomedical research process, and strengthen links between patients and local researchers. Over the past decade, we and our partner institutes have received more than 900 French patients, with the participation of over 60 researchers and clinicians.

  5. An innovative lab-based training program to help patient groups understand their disease and the research process.

    Science.gov (United States)

    Mathieu, Marion; Hammond, Constance; Karlin, David G

    2015-02-01

    Genuine partnership between patient groups and medical experts is important but challenging. Our training program meets this challenge by organizing hands-on, lab-based training sessions for members of patient groups. These sessions allow "trainees" to better understand their disease and the biomedical research process, and strengthen links between patients and local researchers. Over the past decade, we and our partner institutes have received more than 900 French patients, with the participation of over 60 researchers and clinicians.

  6. An Innovative Lab-Based Training Program to Help Patient Groups Understand Their Disease and the Research Process

    OpenAIRE

    Marion Mathieu; Constance Hammond; Karlin, David G.

    2015-01-01

    International audience; Genuine partnership between patient groups and medical experts is important but challenging. Our training program meets this challenge by organizing hands-on, lab-based training sessions for members of patient groups. These sessions allow " trainees " to better understand their disease and the biomedical research process, and strengthen links between patients and local researchers. Over the past decade, we and our partner institutes have received more than 900 French p...

  7. Long-Term Learning in a Short-Term Study Abroad Program: "Are We Really Truly Helping the Community?".

    Science.gov (United States)

    Caldwell, Penelope; Purtzer, Mary Anne

    2015-01-01

    To discover long-term learning outcomes in a short-term study abroad program. Students worked directly with community members to identify health issues, implement educational workshops addressing those issues, and evaluate health outcomes. This is a qualitative, descriptive study. Thematic analysis was conducted using a written questionnaire completed one or more years postimmersion. The sample was 41 nursing students who participated in a 10-day immersion experience in remote Honduras. Four themes emerged revealing evidence of long-term learning. Three of these themes, Embracing Other, Gaining Cultural Competencies, and Experiencing an Ethnocentric Shift, are supported in the literature. The fourth theme, Negotiating Ethical Dilemmas, offers a new finding. Although educators have questioned ethical consequences of study abroad programs, there is a paucity of literature indicating that students are the ones doing the questioning. Implications for educators and community members alike include facilitating dialog about collective worldviews related to global health ethics when designing study abroad programs. © 2014 Wiley Periodicals, Inc.

  8. The Programming Optimization of Capacitorless 1T DRAM Based on the Dual-Gate TFET.

    Science.gov (United States)

    Li, Wei; Liu, Hongxia; Wang, Shulong; Chen, Shupeng; Wang, Qianqiong

    2017-09-06

    The larger volume of capacitor and higher leakage current of transistor have become the inherent disadvantages for the traditional one transistor (1T)-one capacitor (1C) dynamic random access memory (DRAM). Recently, the tunneling FET (TFET) is applied in DRAM cell due to the low off-state current and high switching ratio. The dual-gate TFET (DG-TFET) DRAM cell with the capacitorless structure has the superior performance-higher retention time (RT) and weak temperature dependence. But the performance of TFET DRAM cell is sensitive to programming condition. In this paper, the guideline of programming optimization is discussed in detail by using simulation tool-Silvaco Atlas. Both the writing and reading operations of DG-TFET DRAM depend on the band-to-band tunneling (BTBT). During the writing operation, the holes coming from BTBT governed by Gate2 are stored in potential well under Gate2. A small negative voltage is applied at Gate2 to retain holes for a long time during holding "1". The BTBT governed by Gate1 mainly influences the reading current. Using the optimized programming condition, the DG-TFET DRAM obtains the higher current ratio of reading "1" to reading "0" (10 7 ) and RT of more than 2 s. The higher RT reduces the refresh rate and dynamic power consumption of DRAM.

  9. Manipulation and handling processes off-line programming and optimization with use of K-Roset

    Science.gov (United States)

    Gołda, G.; Kampa, A.

    2017-08-01

    Contemporary trends in development of efficient, flexible manufacturing systems require practical implementation of modern “Lean production” concepts for maximizing customer value through minimizing all wastes in manufacturing and logistics processes. Every FMS is built on the basis of automated and robotized production cells. Except flexible CNC machine tools and other equipments, the industrial robots are primary elements of the system. In the studies, authors look for wastes of time and cost in real tasks of robots, during manipulation processes. According to aspiration for optimization of handling and manipulation processes with use of the robots, the application of modern off-line programming methods and computer simulation, is the best solution and it is only way to minimize unnecessary movements and other instructions. The modelling process of robotized production cell and offline programming of Kawasaki robots in AS-Language will be described. The simulation of robotized workstation will be realized with use of virtual reality software K-Roset. Authors show the process of industrial robot’s programs improvement and optimization in terms of minimizing the number of useless manipulator movements and unnecessary instructions. This is realized in order to shorten the time of production cycles. This will also reduce costs of handling, manipulations and technological process.

  10. The role of antimicrobial management programs in optimizing antibiotic prescribing within hospitals.

    Science.gov (United States)

    Paterson, David L

    2006-01-15

    Managing serious infections is a balance between providing timely and appropriate broad-spectrum empirical therapy for individual patients, which has been consistently shown to improve outcomes, and reducing unnecessary use of antimicrobial agents, which may contribute to the development of antimicrobial resistance. To control the spread of antimicrobial resistance, hospitals commonly implement programs designed to optimize antimicrobial use, supported by infection-control measures. Hospital-based antimicrobial management programs--also called "antimicrobial stewardship programs"--are primarily based on education coupled with a "front-end" approach (i.e., restricting the availability of selected antimicrobial agents) or a "back-end" approach (i.e., reviewing broad-spectrum empirical therapy and then streamlining or discontinuing therapy, as indicated, on the basis of culture and susceptibility testing results and clinical response). Institutional efforts to optimize antimicrobial use should concentrate on patient outcomes, should have multidisciplinary support, and should use a combination of interventions customized to the needs, resources, and information technology infrastructure of the health care institution.

  11. The Programming Optimization of Capacitorless 1T DRAM Based on the Dual-Gate TFET

    Science.gov (United States)

    Li, Wei; Liu, Hongxia; Wang, Shulong; Chen, Shupeng; Wang, Qianqiong

    2017-09-01

    The larger volume of capacitor and higher leakage current of transistor have become the inherent disadvantages for the traditional one transistor (1T)-one capacitor (1C) dynamic random access memory (DRAM). Recently, the tunneling FET (TFET) is applied in DRAM cell due to the low off-state current and high switching ratio. The dual-gate TFET (DG-TFET) DRAM cell with the capacitorless structure has the superior performance-higher retention time (RT) and weak temperature dependence. But the performance of TFET DRAM cell is sensitive to programming condition. In this paper, the guideline of programming optimization is discussed in detail by using simulation tool—Silvaco Atlas. Both the writing and reading operations of DG-TFET DRAM depend on the band-to-band tunneling (BTBT). During the writing operation, the holes coming from BTBT governed by Gate2 are stored in potential well under Gate2. A small negative voltage is applied at Gate2 to retain holes for a long time during holding "1". The BTBT governed by Gate1 mainly influences the reading current. Using the optimized programming condition, the DG-TFET DRAM obtains the higher current ratio of reading "1" to reading "0" (107) and RT of more than 2 s. The higher RT reduces the refresh rate and dynamic power consumption of DRAM.

  12. Optimizing conjunctive use of surface water and groundwater resources with stochastic dynamic programming

    DEFF Research Database (Denmark)

    Davidsen, Claus; Liu, Suxia; Mo, Xinguo

    2014-01-01

    to head-dependent pumping costs. These dynamic pumping costs strongly affect the total costs and can lead to non-convexity of the future cost function. The water user groups (agriculture, industry, domestic) are characterized by inelastic demands and fixed water allocation and water supply curtailment......Optimal management of conjunctive use of surface water and groundwater has been attempted with different algorithms in the literature. In this study, a hydro-economic modelling approach to optimize conjunctive use of scarce surface water and groundwater resources under uncertainty is presented....... A stochastic dynamic programming (SDP) approach is used to minimize the basin-wide total costs arising from water allocations and water curtailments. Dynamic allocation problems with inclusion of groundwater resources proved to be more complex to solve with SDP than pure surface water allocation problems due...

  13. Learning Based Approach for Optimal Clustering of Distributed Program's Call Flow Graph

    Science.gov (United States)

    Abofathi, Yousef; Zarei, Bager; Parsa, Saeed

    Optimal clustering of call flow graph for reaching maximum concurrency in execution of distributable components is one of the NP-Complete problems. Learning automatas (LAs) are search tools which are used for solving many NP-Complete problems. In this paper a learning based algorithm is proposed to optimal clustering of call flow graph and appropriate distributing of programs in network level. The algorithm uses learning feature of LAs to search in state space. It has been shown that the speed of reaching to solution increases remarkably using LA in search process, and it also prevents algorithm from being trapped in local minimums. Experimental results show the superiority of proposed algorithm over others.

  14. Optimal Control of Complex Systems Based on Improved Dual Heuristic Dynamic Programming Algorithm

    Directory of Open Access Journals (Sweden)

    Hui Li

    2017-01-01

    Full Text Available When applied to solving the data modeling and optimal control problems of complex systems, the dual heuristic dynamic programming (DHP technique, which is based on the BP neural network algorithm (BP-DHP, has difficulty in prediction accuracy, slow convergence speed, poor stability, and so forth. In this paper, a dual DHP technique based on Extreme Learning Machine (ELM algorithm (ELM-DHP was proposed. Through constructing three kinds of network structures, the paper gives the detailed realization process of the DHP technique in the ELM. The controller designed upon the ELM-DHP algorithm controlled a molecular distillation system with complex features, such as multivariability, strong coupling, and nonlinearity. Finally, the effectiveness of the algorithm is verified by the simulation that compares DHP and HDP algorithms based on ELM and BP neural network. The algorithm can also be applied to solve the data modeling and optimal control problems of similar complex systems.

  15. Dynamic Programming Optimization of Multi-rate Multicast Video-Streaming Services

    Directory of Open Access Journals (Sweden)

    Nestor Michael Caños Tiglao

    2010-06-01

    Full Text Available In large scale IP Television (IPTV and Mobile TV distributions, the video signal is typically encoded and transmitted using several quality streams, over IP Multicast channels, to several groups of receivers, which are classified in terms of their reception rate. As the number of video streams is usually constrained by both the number of TV channels and the maximum capacity of the content distribution network, it is necessary to find the selection of video stream transmission rates that maximizes the overall user satisfaction. In order to efficiently solve this problem, this paper proposes the Dynamic Programming Multi-rate Optimization (DPMO algorithm. The latter was comparatively evaluated considering several user distributions, featuring different access rate patterns. The experimental results reveal that DPMO is significantly more efficient than exhaustive search, while presenting slightly higher execution times than the non-optimal Multi-rate Step Search (MSS algorithm.

  16. Effectively utilizing device maintenance data to optimize a medical device maintenance program.

    Science.gov (United States)

    Brewin, D; Leung, J; Easty, T

    2001-01-01

    Methods developed by the clinical engineering community and the principles outlined by ISO regulations for the application of risk management to medical devices were integrated to provide a basis for the unique optimization system implemented into the University Health Network medical device maintenance program. Device maintenance history data stored in the database is used to conduct a risk analysis and to compute predefined benchmarks to highlight groups of equipment for which the current maintenance regime is not optimal. Using a software data research tool we are able to investigate device history data and support alterations in maintenance intervals, user training, maintenance procedures, and/or device purchasing. These alterations are justified, documented, and monitored for risk in a continuous management cycle. The predicted benefits are an overall improvement in the reliability of the devices maintained, coupled with a drop in repetitive device checks that result in no measurable benefits.

  17. Goal-Programming-Driven Genetic Algorithm Model for Wireless Access Point Deployment Optimization

    Directory of Open Access Journals (Sweden)

    Chen-Shu Wang

    2012-01-01

    Full Text Available Appropriate wireless access point deployment (APD is essential for ensuring seamless user communication. Optimal APD enables good telecommunication quality, balanced capacity loading, and optimal deployment costs. APD is a typical NP-complex problem because improving wireless networking infrastructure has multiple objectives (MOs. This paper proposes a method that integrates a goal-programming-driven model (PM and a genetic algorithm (GA to resolve the MO-APD problem. The PM identifies the target deployment subject of four constraints: budget, coverage, capacity, and interference. The PM also calculates dynamic capacity requirements to replicate real wireless communication. Three experiments validate the feasibility of the PM. The results demonstrate the utility and stability of the proposed method. Decision makers can easily refer to the PM-identified target deployment before allocating APs.

  18. A Dynamic Programming Algorithm for Optimal Design of Tidal Power Plants

    Science.gov (United States)

    Nag, B.

    2013-03-01

    A dynamic programming algorithm is proposed and demonstrated on a test case to determine the optimum operating schedule of a barrage tidal power plant to maximize the energy generation over a tidal cycle. Since consecutive sets of high and low tides can be predicted accurately for any tidal power plant site, this algorithm can be used to calculate the annual energy generation for different technical configurations of the plant. Thus an optimal choice of a tidal power plant design can be made from amongst different design configurations yielding the least cost of energy generation. Since this algorithm determines the optimal time of operation of sluice gate opening and turbine gates opening to maximize energy generation over a tidal cycle, it can also be used to obtain the annual schedule of operation of a tidal power plant and the minute-to-minute energy generation, for dissemination amongst power distribution utilities.

  19. Help LEP

    CERN Multimedia

    Carreras,R; Lehmann,P

    1988-01-01

    première partie: Help LEP ou le tunnel de l'infini- pièce radiophonique intéréssant sur l'origine de la matière deuxième partie: Help LEP débat; suite à cette pièce interview avec 3 physiciens du Cern sur le projet LEP et le but du Cern qui est la recherche fondamentale

  20. Methods to optimize livestock breeding programs with genotype by environment interaction and genetic heterogeneity of environmental variance

    NARCIS (Netherlands)

    Mulder, H.A.

    2007-01-01

    Genotype by environment interaction (G × E) and genetic heterogeneity of environmental variance are both related to genetic variation in environmental sensitivity. Both phenomena can have consequences for livestock breeding programs. This thesis focuses on developing methods to optimize livestock

  1. DUKSUP: A Computer Program for High Thrust Launch Vehicle Trajectory Design and Optimization

    Science.gov (United States)

    Spurlock, O. Frank; Williams, Craig H.

    2015-01-01

    From the late 1960s through 1997, the leadership of NASAs Intermediate and Large class unmanned expendable launch vehicle projects resided at the NASA Lewis (now Glenn) Research Center (LeRC). One of LeRCs primary responsibilities --- trajectory design and performance analysis --- was accomplished by an internally-developed analytic three dimensional computer program called DUKSUP. Because of its Calculus of Variations-based optimization routine, this code was generally more capable of finding optimal solutions than its contemporaries. A derivation of optimal control using the Calculus of Variations is summarized including transversality, intermediate, and final conditions. The two point boundary value problem is explained. A brief summary of the codes operation is provided, including iteration via the Newton-Raphson scheme and integration of variational and motion equations via a 4th order Runge-Kutta scheme. Main subroutines are discussed. The history of the LeRC trajectory design efforts in the early 1960s is explained within the context of supporting the Centaur upper stage program. How the code was constructed based on the operation of the AtlasCentaur launch vehicle, the limits of the computers of that era, the limits of the computer programming languages, and the missions it supported are discussed. The vehicles DUKSUP supported (AtlasCentaur, TitanCentaur, and ShuttleCentaur) are briefly described. The types of missions, including Earth orbital and interplanetary, are described. The roles of flight constraints and their impact on launch operations are detailed (such as jettisoning hardware on heating, Range Safety, ground station tracking, and elliptical parking orbits). The computer main frames on which the code was hosted are described. The applications of the code are detailed, including independent check of contractor analysis, benchmarking, leading edge analysis, and vehicle performance improvement assessments. Several of DUKSUPs many major impacts on

  2. Optimal selection of space transportation fleet to meet multi-mission space program needs

    Science.gov (United States)

    Morgenthaler, George W.; Montoya, Alex J.

    1989-01-01

    A space program that spans several decades will be comprised of a collection of missions such as low earth orbital space station, a polar platform, geosynchronous space station, lunar base, Mars astronaut mission, and Mars base. The optimal selection of a fleet of several recoverable and expendable launch vehicles, upper stages, and interplanetary spacecraft necessary to logistically establish and support these space missions can be examined by means of a linear integer programming optimization model. Such a selection must be made because the economies of scale which comes from producing large quantities of a few standard vehicle types, rather than many, will be needed to provide learning curve effects to reduce the overall cost of space transportation if these future missions are to be affordable. Optimization model inputs come from data and from vehicle designs. Each launch vehicle currently in existence has a launch history, giving rise to statistical estimates of launch reliability. For future, not-yet-developed launch vehicles, theoretical reliabilities corresponding to the maturity of the launch vehicles' technology and the degree of design redundancy must be estimated. Also, each such launch vehicle has a certain historical or estimated development cost, tooling cost, and a variable cost. The cost of a launch used in this paper includes the variable cost plus an amortized portion of the fixed and development costs. The integer linear programming model will have several constraint equations based on assumptions of mission mass requirements, volume requirements, and number of astronauts needed. The model will minimize launch vehicle logistic support cost and will select the most desirable launch vehicle fleet.

  3. Superconductivity in optimally doped cuprates: BZA program works well and superexchange is the glue

    Directory of Open Access Journals (Sweden)

    G. Baskaran

    2006-09-01

    Full Text Available   Resonating valence bond states in a doped Mott insulator was proposed to explain superconductivity in cuprates in January 1987 by Anderson. A challenging task then was proving existence of this unconventional mechanism and a wealth of possibilities, with a rigor acceptable in standard condensed matter physics, in a microscopic theory and develop suitable many body techniques. Shortly, a paper by Anderson, Zou and us (BZA undertook this task and initiated a program. Three key papers that followed, shortly, essentially completed the program, as far as superconductivity is concerned,i a gauge theory approach by Anderson and us, that went beyond mean field theory ii Kotliar’s d -wave solution in BZA theory iii improvement of a renormalized Hamiltonian in BZA theory, using a Gutzwiller approximation by Zhang, Gros, Rice and Shiba. In this article I shall focus on the merits of BZA and gauge theory papers. They turned out to be a foundation for subsequent developments dealing with more aspects that were unconventional - d -wave order parameter with nodal Bogoliubov quasi particles, Affleck-Marston’s π-flux condensed spin liquid phase, unconventional spin-1 collective mode at (π, π, and other fascinating developments. Kivelson, Rokhsar and Sethna’s idea of holons and their bose condensation found expression in the slave boson formalism and lead to results similar to BZA program. At optimal doping, correlated electrons acquire sufficient fermi sea character, at the same time retain enough superexchange inherited from a Mott insulator parentage, ending in a BCS like situation with superexchange as a glue! Not surprisingly, mean field theory works well at optimal doping, even quantitatively. Further, t-J model is a minimal model only around optimal doping, where RVB superconductivity is also at its best.

  4. Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming

    Directory of Open Access Journals (Sweden)

    Xiao-feng Xu

    2017-01-01

    Full Text Available Collaborative logistics network resource allocation can effectively meet the needs of customers. It can realize the overall benefit maximization of the logistics network and ensure that collaborative logistics network runs orderly at the time of creating value. Therefore, this article is based on the relationship of collaborative logistics network supplier, the transit warehouse, and sellers, and we consider the uncertainty of time to establish a bilevel programming model with random constraints and propose a genetic simulated annealing hybrid intelligent algorithm to solve it. Numerical example shows that the method has stronger robustness and convergence; it can achieve collaborative logistics network resource allocation rationalization and optimization.

  5. Optimization and analysis of decision trees and rules: Dynamic programming approach

    KAUST Repository

    Alkhalid, Abdulaziz

    2013-08-01

    This paper is devoted to the consideration of software system Dagger created in KAUST. This system is based on extensions of dynamic programming. It allows sequential optimization of decision trees and rules relative to different cost functions, derivation of relationships between two cost functions (in particular, between number of misclassifications and depth of decision trees), and between cost and uncertainty of decision trees. We describe features of Dagger and consider examples of this systems work on decision tables from UCI Machine Learning Repository. We also use Dagger to compare 16 different greedy algorithms for decision tree construction. © 2013 Taylor and Francis Group, LLC.

  6. Optimization and analysis of decision trees and rules: dynamic programming approach

    Science.gov (United States)

    Alkhalid, Abdulaziz; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail; Zielosko, Beata

    2013-08-01

    This paper is devoted to the consideration of software system Dagger created in KAUST. This system is based on extensions of dynamic programming. It allows sequential optimization of decision trees and rules relative to different cost functions, derivation of relationships between two cost functions (in particular, between number of misclassifications and depth of decision trees), and between cost and uncertainty of decision trees. We describe features of Dagger and consider examples of this system's work on decision tables from UCI Machine Learning Repository. We also use Dagger to compare 16 different greedy algorithms for decision tree construction.

  7. Launch Vehicle Ascent Trajectory Simulation Using the Program to Optimize Simulated Trajectories II (POST2)

    Science.gov (United States)

    Lugo, Rafael A.; Shidner, Jeremy D.; Powell, Richard W.; Marsh, Steven M.; Hoffman, James A.; Litton, Daniel K.; Schmitt, Terri L.

    2017-01-01

    The Program to Optimize Simulated Trajectories II (POST2) has been continuously developed for over 40 years and has been used in many flight and research projects. Recently, there has been an effort to improve the POST2 architecture by promoting modularity, flexibility, and ability to support multiple simultaneous projects. The purpose of this paper is to provide insight into the development of trajectory simulation in POST2 by describing methods and examples of various improved models for a launch vehicle liftoff and ascent.

  8. The Optimal Operation of Haditha Reservoir by Discrete Differential Dynamic Programming (DDDP

    Directory of Open Access Journals (Sweden)

    Nesrin J. AL-Mansori

    2017-07-01

    Full Text Available The aim of the present research is to find the best optimal policy for monthly operation of Haditha Reservoir for 24 years ( from 1990 to 2014 in order to minimize the total penalties taken place due to both releases and storage when exceeded the limited allowable values by using Discrete Differential Dynamic Programming (DDDP. The results of this study used to find a suitable probability distribution of the values of storage. The log normal distribution for three parameters was found to be the best distribution for determination the operation curves values

  9. Optimal husbandry of hatchling Eastern Indigo Snakes (Drymarchon couperi) during a captive head-start program.

    Science.gov (United States)

    Wines, Michael P; Johnson, Valerie M; Lock, Brad; Antonio, Fred; Godwin, James C; Rush, Elizabeth M; Guyer, Craig

    2015-01-01

    Optimal husbandry techniques are desirable for any headstart program, but frequently are unknown for rare species. Here we describe key reproductive variables and determine optimal incubation temperature and diet diversity for Eastern Indigo Snakes (Drymarchon couperi) grown in laboratory settings. Optimal incubation temperature was estimated from two variables dependent on temperature, shell dimpling, a surrogate for death from fungal infection, and deviation of an egg from an ovoid shape, a surrogate for death from developmental anomalies. Based on these relationships and size at hatching we determined optimal incubation temperature to be 26°C. Additionally, we used incubation data to assess the effect of temperature on duration of incubation and size of hatchlings. We also examined hatchling diets necessary to achieve optimal growth over a 21-month period. These snakes exhibited a positive linear relationship between total mass eaten and growth rate, when individuals were fed less than 1711 g of prey, and displayed constant growth for individuals exceeding 1711 g of prey. Similarly, growth rate increased linearly with increasing diet diversity up to a moderately diverse diet, followed by constant growth for higher levels of diet diversity. Of the two components of diet diversity, diet evenness played a stronger role than diet richness in explaining variance in hatchling growth. These patterns document that our goal of satiating snakes was achieved for some individuals but not others and that diets in which total grams consumed over the first 21 months of life is distributed equivalently among at least three prey genera yielded the fastest growth rates for hatchling snakes. © 2015 Wiley Periodicals, Inc.

  10. Optimizing the creation of base populations for aquaculture breeding programs using phenotypic and genomic data and its consequences on genetic progress

    Directory of Open Access Journals (Sweden)

    Jesús eFernández

    2014-11-01

    Full Text Available The success of an aquaculture breeding program critically depends on the way in which the base population of breeders is constructed since all the genetic variability for the traits included originally in the breeding goal as well as those to be included in the future is contained in those initial founders. Traditionally base populations were created from a number of wild strains by sampling equal numbers from each strain. However, for some aquaculture species improved strains are already available and therefore, mean phenotypic values for economically important traits can be used as a criterion to optimize the sampling when creating base populations. Also, the increasing availability of genome-wide genotype information in aquaculture species could help to refine the estimation of relationships within and between candidate strains and, thus, to optimize the percentage of individuals to be sampled from each strain. This study explores the advantages of using phenotypic and genome-wide information when constructing base populations for aquaculture breeding programs in terms of initial and subsequent trait performance and genetic diversity level. Results show that a compromise solution between diversity and performance can be found when creating base populations. Up to 6% higher levels of phenotypic performance can be achieved at the same level of global diversity in the base population by optimizing the selection of breeders instead of sampling equal numbers from each strain. The higher performance observed in the base population persisted during ten generations of phenotypic selection applied in the subsequent breeding program.

  11. Optimizing the creation of base populations for aquaculture breeding programs using phenotypic and genomic data and its consequences on genetic progress.

    Science.gov (United States)

    Fernández, Jesús; Toro, Miguel Á; Sonesson, Anna K; Villanueva, Beatriz

    2014-01-01

    The success of an aquaculture breeding program critically depends on the way in which the base population of breeders is constructed since all the genetic variability for the traits included originally in the breeding goal as well as those to be included in the future is contained in the initial founders. Traditionally, base populations were created from a number of wild strains by sampling equal numbers from each strain. However, for some aquaculture species improved strains are already available and, therefore, mean phenotypic values for economically important traits can be used as a criterion to optimize the sampling when creating base populations. Also, the increasing availability of genome-wide genotype information in aquaculture species could help to refine the estimation of relationships within and between candidate strains and, thus, to optimize the percentage of individuals to be sampled from each strain. This study explores the advantages of using phenotypic and genome-wide information when constructing base populations for aquaculture breeding programs in terms of initial and subsequent trait performance and genetic diversity level. Results show that a compromise solution between diversity and performance can be found when creating base populations. Up to 6% higher levels of phenotypic performance can be achieved at the same level of global diversity in the base population by optimizing the selection of breeders instead of sampling equal numbers from each strain. The higher performance observed in the base population persisted during 10 generations of phenotypic selection applied in the subsequent breeding program.

  12. Does embedding an ICT certification help align tertiary programs with industry?: A study of CCNA workplace perceptions

    Directory of Open Access Journals (Sweden)

    Dileep Rajendran

    Full Text Available In the last decade there has been an international drive to determine the needs of the ICT industry and skills required by graduates. The intention is to ensure tertiary education is aligned with industry and to suitably prepare students for employment. Among the various initiatives, embedding of industry certification training is one method commonly used to help achieve this. This paper first looks at the literature on industry alignment and the embedding of ICT certifications. It then gives an overview of the changes in the networking courses taught at Wintec over the last ten years. A study of workplace perceptions of the Cisco Certified Network Associate (CCNA courses at this institute is also described, with conclusions drawn about the effectiveness of embedding this certification. In particular the paper investigates how well the courses meet the needs of the ICT industry in the Hamilton/Waikato region. CCNA course topics that are found to be most useful in the workplace are highlighted, as well as the perceived value of the courses for new employees, employers and for people in their career.

  13. Optimal design methodologies under the carbon emission trading program using MIP, GA, SA, and TS

    Energy Technology Data Exchange (ETDEWEB)

    Sadegheih, A. [Department of Industrial Engineering, Yazd University (Iran, Islamic Republic of)

    2011-01-15

    In this paper, an adaptation of MIP, GA, SA, and TS to network planning under the carbon emission trading program is described and computational results are given. As will be shown, the results are very encouraging. The cost function of this problem consists of the capital investment cost in discrete form, the cost of transmission losses, the power generation costs and carbon emission costs. The optimization model has the ability to minimize the total costs and provides the best solutions, which are both cost-effective and environmentally friendly. This method of solution is demonstrated on the real problem. Finally, the performance of the proposed procedure is compared with that of the most well-known as mixed-integer programming. (author)

  14. Pareto Optimal Solutions for Stochastic Dynamic Programming Problems via Monte Carlo Simulation

    Directory of Open Access Journals (Sweden)

    R. T. N. Cardoso

    2013-01-01

    Full Text Available A heuristic algorithm is proposed for a class of stochastic discrete-time continuous-variable dynamic programming problems submitted to non-Gaussian disturbances. Instead of using the expected values of the objective function, the randomness nature of the decision variables is kept along the process, while Pareto fronts weighted by all quantiles of the objective function are determined. Thus, decision makers are able to choose any quantile they wish. This new idea is carried out by using Monte Carlo simulations embedded in an approximate algorithm proposed to deterministic dynamic programming problems. The new method is tested in instances of the classical inventory control problem. The results obtained attest for the efficiency and efficacy of the algorithm in solving these important stochastic optimization problems.

  15. Life cycle cost optimization of biofuel supply chains under uncertainties based on interval linear programming.

    Science.gov (United States)

    Ren, Jingzheng; Dong, Liang; Sun, Lu; Goodsite, Michael Evan; Tan, Shiyu; Dong, Lichun

    2015-01-01

    The aim of this work was to develop a model for optimizing the life cycle cost of biofuel supply chain under uncertainties. Multiple agriculture zones, multiple transportation modes for the transport of grain and biofuel, multiple biofuel plants, and multiple market centers were considered in this model, and the price of the resources, the yield of grain and the market demands were regarded as interval numbers instead of constants. An interval linear programming was developed, and a method for solving interval linear programming was presented. An illustrative case was studied by the proposed model, and the results showed that the proposed model is feasible for designing biofuel supply chain under uncertainties. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. Optimal planning of gas turbine cogeneration system based on linear programming. Paper no. IGEC-1-ID09

    Energy Technology Data Exchange (ETDEWEB)

    Oh, S.-D. [Hyosung Corp., Seoul (Korea, Republic of)]. E-mail: ohsidk@hyosung.com; Kwak, H.-Y. [Chung-Ang Univ., Mechanical Engineering Dept., Seoul (Korea, Republic of)]. E-mail: kwakhy@cau.ac.kr

    2005-07-01

    An optimal planning for gas turbine cogeneration system has been studied. The planning problem considered in this study is to determine the optimal configuration of the system equipments and optimal operational policy of the system when the annual energy demands of electric power, heat and cooling are given a priori. The main benefit of the optimal planning is to minimize operational costs and to save energy by efficient energy utilization. A mixed-integer linear programming and the branch and bound algorithm have been adopted to obtain the optimal solution. Both the optimal configuration of the system equipments and the optimal operation policy has been obtained based on annual cost method. The planning method employed here may be applied to the planning problem of the cogeneration plant to any specific building or hotel. (author)

  17. Optimization of production planning in Czech agricultural co-operative via linear programming

    Directory of Open Access Journals (Sweden)

    Jitka Janová

    2009-01-01

    Full Text Available The production planning is one of the key managerial decisions in agricultural business, which must be done periodically every year. Correct decision must cover the agriculture demands of planting the crops such as crop rotation restrictions or water resource scarcity, while the decision maker aims to plan the crop design in most profitable way in sense of maximizing the total profit from the crop yield. This decision problem represents the optimization of crop design and can be treated by the me­thods of linear programming which begun to be extensively used in agriculture production planning in USA during 50’s. There is ongoing research of mathematical programming applications in agriculture worldwide, but the results are not easily transferable to other localities due to the specific local restrictions in each country. In Czech Republic the farmers use for production planning mainly their expert knowledge and past experience. However, the mathematical programming approach enables find the true optimal solution of the problem, which especially in the problems with a great number of constraints is not easy to find intuitively. One of the possible barriers for using the general decision support systems (which are based on mathematical programming methods for agriculture production planning in Czech Republic is its expensiveness. The small farmer can not afford to buy the expensive software or to employ a mathematical programming specialist. The aim of this paper is to present a user friendly linear programming model of the typical agricultural production planning problem in Czech Republic which can be solved via software tools commonly available in any farm (e.g. EXCEL. The linear programming model covering the restrictions on total costs, crop rotation, thresholds for the total area sowed by particular crops, total amount of manure and the need of feed crops is developed. The model is applied in real-world problem of Czech agriculture

  18. Addressing holistic health and work empowerment through a body-mind-spirit intervention program among helping professionals in continuous education: A pilot study.

    Science.gov (United States)

    Ho, Rainbow T H; Sing, Cheuk Yan; Wong, Venus P Y

    2016-01-01

    To examine the effectiveness of a body-mind-spirit (BMS) intervention program in improving the holistic well-being and work empowerment among helping professionals in continuous education. Forty-four helping professionals, who were in their first-year part-time postgraduate study, participated in the present study. All participants attended a 3-day BMS intervention program which emphasized a holistic approach to health and well-being. Ratings on their levels of physical distress, daily functioning, affect, spirituality, and psychological empowerment at work were compared before and immediately after the intervention. Participants reported significantly lower levels of negative affect and physical distress, and were less spiritually disoriented after the intervention. Enhanced levels of daily functioning, positive affect, spiritual resilience, and tranquility were also reported. Results also suggested that participants were empowered at work, and specifically felt more able to make an impact on work outcomes. The 3-day BMS intervention program produced a positive and measurable effect on participants' holistic well-being and empowerment at work. Educators in related fields could incorporate holistic practices into the curriculum to better prepare the future practitioners, leading to better outcomes both to the professionals themselves and their clients or patients.

  19. Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer.

    Science.gov (United States)

    Castelli, Mauro; Trujillo, Leonardo; Vanneschi, Leonardo

    2015-01-01

    Energy consumption forecasting (ECF) is an important policy issue in today's economies. An accurate ECF has great benefits for electric utilities and both negative and positive errors lead to increased operating costs. The paper proposes a semantic based genetic programming framework to address the ECF problem. In particular, we propose a system that finds (quasi-)perfect solutions with high probability and that generates models able to produce near optimal predictions also on unseen data. The framework blends a recently developed version of genetic programming that integrates semantic genetic operators with a local search method. The main idea in combining semantic genetic programming and a local searcher is to couple the exploration ability of the former with the exploitation ability of the latter. Experimental results confirm the suitability of the proposed method in predicting the energy consumption. In particular, the system produces a lower error with respect to the existing state-of-the art techniques used on the same dataset. More importantly, this case study has shown that including a local searcher in the geometric semantic genetic programming system can speed up the search process and can result in fitter models that are able to produce an accurate forecasting also on unseen data.

  20. Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer

    Directory of Open Access Journals (Sweden)

    Mauro Castelli

    2015-01-01

    Full Text Available Energy consumption forecasting (ECF is an important policy issue in today’s economies. An accurate ECF has great benefits for electric utilities and both negative and positive errors lead to increased operating costs. The paper proposes a semantic based genetic programming framework to address the ECF problem. In particular, we propose a system that finds (quasi-perfect solutions with high probability and that generates models able to produce near optimal predictions also on unseen data. The framework blends a recently developed version of genetic programming that integrates semantic genetic operators with a local search method. The main idea in combining semantic genetic programming and a local searcher is to couple the exploration ability of the former with the exploitation ability of the latter. Experimental results confirm the suitability of the proposed method in predicting the energy consumption. In particular, the system produces a lower error with respect to the existing state-of-the art techniques used on the same dataset. More importantly, this case study has shown that including a local searcher in the geometric semantic genetic programming system can speed up the search process and can result in fitter models that are able to produce an accurate forecasting also on unseen data.

  1. Networked Timetable Stability Improvement Based on a Bilevel Optimization Programming Model

    Directory of Open Access Journals (Sweden)

    Xuelei Meng

    2014-01-01

    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.

  2. Towards optimizing server performance in an educational MMORPG for teaching computer programming

    Science.gov (United States)

    Malliarakis, Christos; Satratzemi, Maya; Xinogalos, Stelios

    2013-10-01

    Web-based games have become significantly popular during the last few years. This is due to the gradual increase of internet speed, which has led to the ongoing multiplayer games development and more importantly the emergence of the Massive Multiplayer Online Role Playing Games (MMORPG) field. In parallel, similar technologies called educational games have started to be developed in order to be put into practice in various educational contexts, resulting in the field of Game Based Learning. However, these technologies require significant amounts of resources, such as bandwidth, RAM and CPU capacity etc. These amounts may be even larger in an educational MMORPG game that supports computer programming education, due to the usual inclusion of a compiler and the constant client/server data transmissions that occur during program coding, possibly leading to technical issues that could cause malfunctions during learning. Thus, the determination of the elements that affect the overall games resources' load is essential so that server administrators can configure them and ensure educational games' proper operation during computer programming education. In this paper, we propose a new methodology with which we can achieve monitoring and optimization of the load balancing, so that the essential resources for the creation and proper execution of an educational MMORPG for computer programming can be foreseen and bestowed without overloading the system.

  3. Second Order Cone Programming (SOCP) Relaxation Based Optimal Power Flow with Hybrid VSC-HVDC Transmission and Active Distribution Networks

    DEFF Research Database (Denmark)

    Ding, Tao; Li, Cheng; Yang, Yongheng

    2017-01-01

    The detailed topology of renewable resource bases may have the impact on the optimal power flow of the VSC-HVDC transmission network. To address this issue, this paper develops an optimal power flow with the hybrid VSC-HVDC transmission and active distribution networks to optimally schedule...... the generation output and voltage regulation of both networks, which leads to a non-convex programming model. Furthermore, the non-convex power flow equations are based on the Second Order Cone Programming (SOCP) relaxation approach. Thus, the proposed model can be relaxed to a SOCP that can be tractably solved...

  4. Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming.

    Science.gov (United States)

    Sahoo, Avimanyu; Xu, Hao; Jagannathan, Sarangapani

    2017-03-01

    This paper presents an approximate optimal control of nonlinear continuous-time systems in affine form by using the adaptive dynamic programming (ADP) with event-sampled state and input vectors. The knowledge of the system dynamics is relaxed by using a neural network (NN) identifier with event-sampled inputs. The value function, which becomes an approximate solution to the Hamilton-Jacobi-Bellman equation, is generated by using event-sampled NN approximator. Subsequently, the NN identifier and the approximated value function are utilized to obtain the optimal control policy. Both the identifier and value function approximator weights are tuned only at the event-sampled instants leading to an aperiodic update scheme. A novel adaptive event sampling condition is designed to determine the sampling instants, such that the approximation accuracy and the stability are maintained. A positive lower bound on the minimum inter-sample time is guaranteed to avoid accumulation point, and the dependence of inter-sample time upon the NN weight estimates is analyzed. A local ultimate boundedness of the resulting nonlinear impulsive dynamical closed-loop system is shown. Finally, a numerical example is utilized to evaluate the performance of the near-optimal design. The net result is the design of an event-sampled ADP-based controller for nonlinear continuous-time systems.

  5. Supplemental Assessment of the Y-12 Groundwater Protection Program Using Monitoring and Remediation Optimization System Software

    Energy Technology Data Exchange (ETDEWEB)

    Elvado Environmental LLC; GSI Environmental LLC

    2009-01-01

    A supplemental quantitative assessment of the Groundwater Protection Program (GWPP) at the Y-12 National Security Complex (Y-12) in Oak Ridge, TN was performed using the Monitoring and Remediation Optimization System (MAROS) software. This application was previously used as part of a similar quantitative assessment of the GWPP completed in December 2005, hereafter referenced as the 'baseline' MAROS assessment (BWXT Y-12 L.L.C. [BWXT] 2005). The MAROS software contains modules that apply statistical analysis techniques to an existing GWPP analytical database in conjunction with hydrogeologic factors, regulatory framework, and the location of potential receptors, to recommend an improved groundwater monitoring network and optimum sampling frequency for individual monitoring locations. The goal of this supplemental MAROS assessment of the Y-12 GWPP is to review and update monitoring network optimization recommendations resulting from the 2005 baseline report using data collected through December 2007. The supplemental MAROS assessment is based on the findings of the baseline MAROS assessment and includes only the groundwater sampling locations (wells and natural springs) currently granted 'Active' status in accordance with the Y-12 GWPP Monitoring Optimization Plan (MOP). The results of the baseline MAROS assessment provided technical rationale regarding the 'Active' status designations defined in the MOP (BWXT 2006). One objective of the current report is to provide a quantitative review of data collected from Active but infrequently sampled wells to confirm concentrations at these locations. This supplemental MAROS assessment does not include the extensive qualitative evaluations similar to those presented in the baseline report.

  6. An adaptive compromise programming method for multi-objective path optimization

    Science.gov (United States)

    Li, Rongrong; Leung, Yee; Lin, Hui; Huang, Bo

    2013-04-01

    Network routing problems generally involve multiple objectives which may conflict one another. An effective way to solve such problems is to generate a set of Pareto-optimal solutions that is small enough to be handled by a decision maker and large enough to give an overview of all possible trade-offs among the conflicting objectives. To accomplish this, the present paper proposes an adaptive method based on compromise programming to assist decision makers in identifying Pareto-optimal paths, particularly for non-convex problems. This method can provide an unbiased approximation of the Pareto-optimal alternatives by adaptively changing the origin and direction of search in the objective space via the dynamic updating of the largest unexplored region till an appropriately structured Pareto front is captured. To demonstrate the efficacy of the proposed methodology, a case study is carried out for the transportation of dangerous goods in the road network of Hong Kong with the support of geographic information system. The experimental results confirm the effectiveness of the approach.

  7. Optimized programming algorithm for cylindrical and directional deep brain stimulation electrodes.

    Science.gov (United States)

    Anderson, Daria Nesterovich; Osting, Braxton; Vorwerk, Johannes; Dorval, Alan D; Butson, Christopher R

    2018-04-01

    Deep brain stimulation (DBS) is a growing treatment option for movement and psychiatric disorders. As DBS technology moves toward directional leads with increased numbers of smaller electrode contacts, trial-and-error methods of manual DBS programming are becoming too time-consuming for clinical feasibility. We propose an algorithm to automate DBS programming in near real-time for a wide range of DBS lead designs. Magnetic resonance imaging and diffusion tensor imaging are used to build finite element models that include anisotropic conductivity. The algorithm maximizes activation of target tissue and utilizes the Hessian matrix of the electric potential to approximate activation of neurons in all directions. We demonstrate our algorithm's ability in an example programming case that targets the subthalamic nucleus (STN) for the treatment of Parkinson's disease for three lead designs: the Medtronic 3389 (four cylindrical contacts), the direct STNAcute (two cylindrical contacts, six directional contacts), and the Medtronic-Sapiens lead (40 directional contacts). The optimization algorithm returns patient-specific contact configurations in near real-time-less than 10 s for even the most complex leads. When the lead was placed centrally in the target STN, the directional leads were able to activate over 50% of the region, whereas the Medtronic 3389 could activate only 40%. When the lead was placed 2 mm lateral to the target, the directional leads performed as well as they did in the central position, but the Medtronic 3389 activated only 2.9% of the STN. This DBS programming algorithm can be applied to cylindrical electrodes as well as novel directional leads that are too complex with modern technology to be manually programmed. This algorithm may reduce clinical programming time and encourage the use of directional leads, since they activate a larger volume of the target area than cylindrical electrodes in central and off-target lead placements.

  8. Fuzzy linear programming based optimal fuel scheduling incorporating blending/transloading facilities

    Energy Technology Data Exchange (ETDEWEB)

    Djukanovic, M.; Babic, B.; Milosevic, B. [Electrical Engineering Inst. Nikola Tesla, Belgrade (Yugoslavia); Sobajic, D.J. [EPRI, Palo Alto, CA (United States). Power System Control; Pao, Y.H. [Case Western Reserve Univ., Cleveland, OH (United States)]|[AI WARE, Inc., Cleveland, OH (United States)

    1996-05-01

    In this paper the blending/transloading facilities are modeled using an interactive fuzzy linear programming (FLP), in order to allow the decision-maker to solve the problem of uncertainty of input information within the fuel scheduling optimization. An interactive decision-making process is formulated in which decision-maker can learn to recognize good solutions by considering all possibilities of fuzziness. The application of the fuzzy formulation is accompanied by a careful examination of the definition of fuzziness, appropriateness of the membership function and interpretation of results. The proposed concept provides a decision support system with integration-oriented features, whereby the decision-maker can learn to recognize the relative importance of factors in the specific domain of optimal fuel scheduling (OFS) problem. The formulation of a fuzzy linear programming problem to obtain a reasonable nonfuzzy solution under consideration of the ambiguity of parameters, represented by fuzzy numbers, is introduced. An additional advantage of the FLP formulation is its ability to deal with multi-objective problems.

  9. Optimal Control of Scalar Conservation Laws Using Linear/Quadratic Programming: Application to Transportation Networks

    KAUST Repository

    Li, Yanning

    2014-03-01

    This article presents a new optimal control framework for transportation networks in which the state is modeled by a first order scalar conservation law. Using an equivalent formulation based on a Hamilton-Jacobi (H-J) equation and the commonly used triangular fundamental diagram, we pose the problem of controlling the state of the system on a network link, in a finite horizon, as a Linear Program (LP). We then show that this framework can be extended to an arbitrary transportation network, resulting in an LP or a Quadratic Program. Unlike many previously investigated transportation network control schemes, this method yields a globally optimal solution and is capable of handling shocks (i.e., discontinuities in the state of the system). As it leverages the intrinsic properties of the H-J equation used to model the state of the system, it does not require any approximation, unlike classical methods that are based on discretizations of the model. The computational efficiency of the method is illustrated on a transportation network. © 2014 IEEE.

  10. Statistical mechanical analysis of linear programming relaxation for combinatorial optimization problems.

    Science.gov (United States)

    Takabe, Satoshi; Hukushima, Koji

    2016-05-01

    Typical behavior of the linear programming (LP) problem is studied as a relaxation of the minimum vertex cover (min-VC), a type of integer programming (IP) problem. A lattice-gas model on the Erdös-Rényi random graphs of α-uniform hyperedges is proposed to express both the LP and IP problems of the min-VC in the common statistical mechanical model with a one-parameter family. Statistical mechanical analyses reveal for α=2 that the LP optimal solution is typically equal to that given by the IP below the critical average degree c=e in the thermodynamic limit. The critical threshold for good accuracy of the relaxation extends the mathematical result c=1 and coincides with the replica symmetry-breaking threshold of the IP. The LP relaxation for the minimum hitting sets with α≥3, minimum vertex covers on α-uniform random graphs, is also studied. Analytic and numerical results strongly suggest that the LP relaxation fails to estimate optimal values above the critical average degree c=e/(α-1) where the replica symmetry is broken.

  11. Spur gears: Optimal geometry, methods for generation and Tooth Contact Analysis (TCA) program

    Science.gov (United States)

    Litvin, Faydor L.; Zhang, Jiao

    1988-01-01

    The contents of this report include the following: (1) development of optimal geometry for crowned spur gears; (2) methods for their generation; and (3) tooth contact analysis (TCA) computer programs for the analysis of meshing and bearing contact on the crowned spur gears. The method developed for synthesis is used for the determination of the optimal geometry for crowned pinion surface and is directed to reduce the sensitivity of the gears to misalignment, localize the bearing contact, and guarantee the favorable shape and low level of the transmission errors. A new method for the generation of the crowned pinion surface has been proposed. This method is based on application of the tool with a surface of revolution that slightly deviates from a regular cone surface. The tool can be used as a grinding wheel or as a shaver. The crowned pinion surface can also be generated by a generating plane whose motion is provided by an automatic grinding machine controlled by a computer. The TCA program simulates the meshing and bearing contact of the misaligned gears. The transmission errors are also determined.

  12. Reentry trajectory optimization with waypoint and no-fly zone constraints using multiphase convex programming

    Science.gov (United States)

    Zhao, Dang-Jun; Song, Zheng-Yu

    2017-08-01

    This study proposes a multiphase convex programming approach for rapid reentry trajectory generation that satisfies path, waypoint and no-fly zone (NFZ) constraints on Common Aerial Vehicles (CAVs). Because the time when the vehicle reaches the waypoint is unknown, the trajectory of the vehicle is divided into several phases according to the prescribed waypoints, rendering a multiphase optimization problem with free final time. Due to the requirement of rapidity, the minimum flight time of each phase index is preferred over other indices in this research. The sequential linearization is used to approximate the nonlinear dynamics of the vehicle as well as the nonlinear concave path constraints on the heat rate, dynamic pressure, and normal load; meanwhile, the convexification techniques are proposed to relax the concave constraints on control variables. Next, the original multiphase optimization problem is reformulated as a standard second-order convex programming problem. Theoretical analysis is conducted to show that the original problem and the converted problem have the same solution. Numerical results are presented to demonstrate that the proposed approach is efficient and effective.

  13. Statistical mechanical analysis of linear programming relaxation for combinatorial optimization problems

    Science.gov (United States)

    Takabe, Satoshi; Hukushima, Koji

    2016-05-01

    Typical behavior of the linear programming (LP) problem is studied as a relaxation of the minimum vertex cover (min-VC), a type of integer programming (IP) problem. A lattice-gas model on the Erdös-Rényi random graphs of α -uniform hyperedges is proposed to express both the LP and IP problems of the min-VC in the common statistical mechanical model with a one-parameter family. Statistical mechanical analyses reveal for α =2 that the LP optimal solution is typically equal to that given by the IP below the critical average degree c =e in the thermodynamic limit. The critical threshold for good accuracy of the relaxation extends the mathematical result c =1 and coincides with the replica symmetry-breaking threshold of the IP. The LP relaxation for the minimum hitting sets with α ≥3 , minimum vertex covers on α -uniform random graphs, is also studied. Analytic and numerical results strongly suggest that the LP relaxation fails to estimate optimal values above the critical average degree c =e /(α -1 ) where the replica symmetry is broken.

  14. Optimization of programming parameters in children with the advanced bionics cochlear implant.

    Science.gov (United States)

    Baudhuin, Jacquelyn; Cadieux, Jamie; Firszt, Jill B; Reeder, Ruth M; Maxson, Jerrica L

    2012-05-01

    Cochlear implants provide access to soft intensity sounds and therefore improved audibility for children with severe-to-profound hearing loss. Speech processor programming parameters, such as threshold (or T-level), input dynamic range (IDR), and microphone sensitivity, contribute to the recipient's program and influence audibility. When soundfield thresholds obtained through the speech processor are elevated, programming parameters can be modified to improve soft sound detection. Adult recipients show improved detection for low-level sounds when T-levels are set at raised levels and show better speech understanding in quiet when wider IDRs are used. Little is known about the effects of parameter settings on detection and speech recognition in children using today's cochlear implant technology. The overall study aim was to assess optimal T-level, IDR, and sensitivity settings in pediatric recipients of the Advanced Bionics cochlear implant. Two experiments were conducted. Experiment 1 examined the effects of two T-level settings on soundfield thresholds and detection of the Ling 6 sounds. One program set T-levels at 10% of most comfortable levels (M-levels) and another at 10 current units (CUs) below the level judged as "soft." Experiment 2 examined the effects of IDR and sensitivity settings on speech recognition in quiet and noise. Participants were 11 children 7-17 yr of age (mean 11.3) implanted with the Advanced Bionics High Resolution 90K or CII cochlear implant system who had speech recognition scores of 20% or greater on a monosyllabic word test. Two T-level programs were compared for detection of the Ling sounds and frequency modulated (FM) tones. Differing IDR/sensitivity programs (50/0, 50/10, 70/0, 70/10) were compared using Ling and FM tone detection thresholds, CNC (consonant-vowel nucleus-consonant) words at 50 dB SPL, and Hearing in Noise Test for Children (HINT-C) sentences at 65 dB SPL in the presence of four-talker babble (+8 signal

  15. Assessment of an optimized dog-culling program in the dynamics of canine Leishmania transmission.

    Science.gov (United States)

    Moreira, Edson Duarte; Mendes de Souza, Verena Maria; Sreenivasan, Meera; Nascimento, Eliane Góes; Pontes de Carvalho, Lain

    2004-08-06

    In Brazil, zoonotic visceral leishmaniasis (ZVL) control programs based on the mass elimination of seropositive dogs have failed to reduce the number of leishmaniasis cases. However, these programs have been done under sub-optimal conditions. We studied a cohort of dogs in an urban area in Brazil to determine, whether a dog-culling program optimized with: (i) replacement of a relatively low-sensitivity indirect immune-fluorescent test on blood eluate by a more sensitive enzyme-linked immunosorbent assay on serum blood samples; (ii) shortening of the time interval from serodiagnosis to removal of dogs; (iii) screening a high proportion of the dog population could reduce the incidence of canine Leishmania infection (CLI). The study ran from December 1997 to July 2000, with four follow-up assessments performed at approximately 8-month intervals. All dogs seropositive for anti-Leishmania antibodies were promptly eliminated. A large number of new dogs immigrated to the study area throughout the study period. They comprised 43.8-49.8% of the cohort at each follow-up assessment, and upto 15% of them already had Leishmania infection. Overall, 42 news cases of CLI were identified, for a crude incidence rate of 11.8 cases per 100 dog-years (95% CI 8.6-15.6). In the first, second, third and fourth follow-up assessments the incidence rates were 8.2 (95% CI 3.0-17.9), 12.2 (95% CI 6.3-21.2), 16.4 (95% CI 8.5-28.6) and 13.6 (95% CI 7.1-23.8), respectively. There was no statistically significant change in these rates throughout the study period. Our results suggest that dog-culling programs do not reduce the incidence of CLI, even with an optimized intervention. Possible reasons for this failure include: currently available serologic methods lack sufficient sensitivity and/or specificity to accurately identify all infected dogs warranting removal in order to prevent Leishmania transmission; destroyed dogs are immediately replaced by susceptible puppies, and quite often, by

  16. The University of Arizona College of Medicine Optimal Aging Program: Stepping in the Shadows of Successful Aging

    Science.gov (United States)

    Sikora, Stephanie

    2006-01-01

    The Optimal Aging Program (OAP) at the University of Arizona, College of Medicine is a longitudinal mentoring program that pairs students with older adults who are considered to be aging "successfully." This credit-bearing elective was initially established in 2001 through a grant from the John A. Hartford Foundation, and aims to expand…

  17. Development of the Symbolic Manipulator Laboratory modeling package for the kinematic design and optimization of the Future Armor Rearm System robot. Ammunition Logistics Program

    Energy Technology Data Exchange (ETDEWEB)

    March-Leuba, S.; Jansen, J.F.; Kress, R.L.; Babcock, S.M. [Oak Ridge National Lab., TN (United States); Dubey, R.V. [Tennessee Univ., Knoxville, TN (United States). Dept. of Mechanical and Aerospace Engineering

    1992-08-01

    A new program package, Symbolic Manipulator Laboratory (SML), for the automatic generation of both kinematic and static manipulator models in symbolic form is presented. Critical design parameters may be identified and optimized using symbolic models as shown in the sample application presented for the Future Armor Rearm System (FARS) arm. The computer-aided development of the symbolic models yields equations with reduced numerical complexity. Important considerations have been placed on the closed form solutions simplification and on the user friendly operation. The main emphasis of this research is the development of a methodology which is implemented in a computer program capable of generating symbolic kinematic and static forces models of manipulators. The fact that the models are obtained trigonometrically reduced is among the most significant results of this work and the most difficult to implement. Mathematica, a commercial program that allows symbolic manipulation, is used to implement the program package. SML is written such that the user can change any of the subroutines or create new ones easily. To assist the user, an on-line help has been written to make of SML a user friendly package. Some sample applications are presented. The design and optimization of the 5-degrees-of-freedom (DOF) FARS manipulator using SML is discussed. Finally, the kinematic and static models of two different 7-DOF manipulators are calculated symbolically.

  18. The effect of genomic information on optimal contribution selection in livestock breeding programs.

    Science.gov (United States)

    Clark, Samuel A; Kinghorn, Brian P; Hickey, John M; van der Werf, Julius H J

    2013-10-30

    Long-term benefits in animal breeding programs require that increases in genetic merit be balanced with the need to maintain diversity (lost due to inbreeding). This can be achieved by using optimal contribution selection. The availability of high-density DNA marker information enables the incorporation of genomic data into optimal contribution selection but this raises the question about how this information affects the balance between genetic merit and diversity. The effect of using genomic information in optimal contribution selection was examined based on simulated and real data on dairy bulls. We compared the genetic merit of selected animals at various levels of co-ancestry restrictions when using estimated breeding values based on parent average, genomic or progeny test information. Furthermore, we estimated the proportion of variation in estimated breeding values that is due to within-family differences. Optimal selection on genomic estimated breeding values increased genetic gain. Genetic merit was further increased using genomic rather than pedigree-based measures of co-ancestry under an inbreeding restriction policy. Using genomic instead of pedigree relationships to restrict inbreeding had a significant effect only when the population consisted of many large full-sib families; with a half-sib family structure, no difference was observed. In real data from dairy bulls, optimal contribution selection based on genomic estimated breeding values allowed for additional improvements in genetic merit at low to moderate inbreeding levels. Genomic estimated breeding values were more accurate and showed more within-family variation than parent average breeding values; for genomic estimated breeding values, 30 to 40% of the variation was due to within-family differences. Finally, there was no difference between constraining inbreeding via pedigree or genomic relationships in the real data. The use of genomic estimated breeding values increased genetic gain in

  19. Optimal control of an invasive species using a reaction-diffusion model and linear programming

    Science.gov (United States)

    Bonneau, Mathieu; Johnson, Fred A.; Smith, Brian J.; Romagosa, Christina M.; Martin, Julien; Mazzotti, Frank J.

    2017-01-01

    Managing an invasive species is particularly challenging as little is generally known about the species’ biological characteristics in its new habitat. In practice, removal of individuals often starts before the species is studied to provide the information that will later improve control. Therefore, the locations and the amount of control have to be determined in the face of great uncertainty about the species characteristics and with a limited amount of resources. We propose framing spatial control as a linear programming optimization problem. This formulation, paired with a discrete reaction-diffusion model, permits calculation of an optimal control strategy that minimizes the remaining number of invaders for a fixed cost or that minimizes the control cost for containment or protecting specific areas from invasion. We propose computing the optimal strategy for a range of possible model parameters, representing current uncertainty on the possible invasion scenarios. Then, a best strategy can be identified depending on the risk attitude of the decision-maker. We use this framework to study the spatial control of the Argentine black and white tegus (Salvator merianae) in South Florida. There is uncertainty about tegu demography and we considered several combinations of model parameters, exhibiting various dynamics of invasion. For a fixed one-year budget, we show that the risk-averse strategy, which optimizes the worst-case scenario of tegus’ dynamics, and the risk-neutral strategy, which optimizes the expected scenario, both concentrated control close to the point of introduction. A risk-seeking strategy, which optimizes the best-case scenario, focuses more on models where eradication of the species in a cell is possible and consists of spreading control as much as possible. For the establishment of a containment area, assuming an exponential growth we show that with current control methods it might not be possible to implement such a strategy for some of the

  20. Optimizing Grid Patterns on Photovoltaic Cells

    Science.gov (United States)

    Burger, D. R.

    1984-01-01

    CELCAL computer program helps in optimizing grid patterns for different photovoltaic cell geometries and metalization processes. Five different powerloss phenomena associated with front-surface metal grid pattern on photovoltaic cells.

  1. A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction

    Science.gov (United States)

    Danandeh Mehr, Ali; Kahya, Ercan

    2017-06-01

    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.

  2. Optimization of healthcare supply chain in context of macro-ergonomics factors by a unique mathematical programming approach.

    Science.gov (United States)

    Azadeh, A; Motevali Haghighi, S; Gaeini, Z; Shabanpour, N

    2016-07-01

    This study presents an integrated approach for analyzing the impact of macro-ergonomics factors in healthcare supply chain (HCSC) by data envelopment analysis (DEA). The case of this study is the supply chain (SC) of a real hospital. Thus, healthcare standards and macro-ergonomics factors are considered to be modeled by the mathematical programming approach. Over 28 subsidiary SC divisions with parallel missions and objectives are evaluated by analyzing inputs and outputs through DEA. Each division in this HCSC is considered as decision making unit (DMU). This approach can analyze the impact of macro-ergonomics factors on supply chain management (SCM) in healthcare sector. Also, this method ranks the relevant performance efficiencies of each HCSC. In this study by using proposed method, the most effective macro-ergonomics factor on HCSC is identified as "teamwork" issue. Also, this study would help managers to identify the areas of weaknesses in their SCM system and set improvement target plan for the related SCM system in healthcare industry. To the best of our knowledge, this is the first study for macro-ergonomics optimization of HCSC. Copyright © 2016 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  3. How can clinician-educator training programs be optimized to match clinician motivations and concerns?

    Directory of Open Access Journals (Sweden)

    McCullough B

    2015-01-01

    Full Text Available Brendan McCullough, Gregory E Marton, Christopher J Ramnanan Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada Background: Several medical schools have implemented programs aimed at supporting clinician-educators with formal mentoring, training, and experience in undergraduate medical teaching. However, consensus program design has yet to be established, and the effectiveness of these programs in terms of producing quality clinician-educator teaching remains unclear. The goal of this study was to review the literature to identify motivations and perceived barriers to clinician-educators, which in turn will improve clinician-educator training programs to better align with clinician-educator needs and concerns. Methods: Review of medical education literature using the terms “attitudes”, “motivations”, “physicians”, “teaching”, and “undergraduate medical education” resulted in identification of key themes revealing the primary motivations and barriers involved in physicians teaching undergraduate medical students. Results: A synthesis of articles revealed that physicians are primarily motivated to teach undergraduate students for intrinsic reasons. To a lesser extent, physicians are motivated to teach for extrinsic reasons, such as rewards or recognition. The key barriers deterring physicians from teaching medical students included: decreased productivity, lack of compensation, increased length of the working day, patient concerns/ethical issues, and lack of confidence in their own ability. Conclusion: Our findings suggest that optimization of clinician-educator training programs should address, amongst other factors, time management concerns, appropriate academic recognition for teaching service, and confidence in teaching ability. Addressing these issues may increase the retention of clinicians who are active and proficient in medical education. Keywords: clinician-educators, teaching, undergraduate medical

  4. Optimizing the process of fertility preservation in pediatric female cancer patients - a multidisciplinary program.

    Science.gov (United States)

    Ben-Aharon, Irit; Abir, R; Perl, G; Stein, J; Gilad, G; Toledano, H; Elitzur, S; Avrahami, G; Ben-Haroush, A; Oron, G; Freud, E; Kravarusic, D; Ben-Arush, M; Herzel, G; Yaniv, I; Stemmer, S M; Fisch, B; Ash, S

    2016-08-09

    Current evidence indicates sub-optimal incidence of fertility preservation (FP) in eligible patients. We present herein our designated multidisciplinary program for FP in pediatric and adolescent population and present our data on FP in female patients. Pediatric patients (age 0-18) who were candidate for highly gonadotoxic treatments were referred to FP program for a multidisciplinary discussion and gonadal risk-assessment followed by either oocyte cryopreservation or ovarian cryopreservation (OCP) for female patients, and sperm banking for male patients. The OCP protocol consists of aspiration of oocytes from small antral follicles and in-vitro maturation followed by cryopreservation, as well as ovarian tissue cryopreservation. The establishment of a designated FP program resulted in a significant increase in referral and subsequent FP procedures of all eligible patients. Sixty-two female patients were referred for FP discussion during a period of 36 months; 41 underwent OCP; 11 underwent oocyte cryopreservation and six were declined due to parental decision. The median age was 13.2y (range 18 months-18y). Thirty-two (51.6 %) were chemotherapy-naïve. Seventeen patients (27 %) had sarcoma, 16 patients (26 %) had acute leukemia. The mean number of mature oocytes that were eventually vitrified was significantly higher in chemotherapy-naïve patients compared with chemotherapy-exposed patients (mean 12 oocytes (1-42) versus 2 (0-7)). Multidisciplinary programs that encompass experts of all relevant fields, skilled laboratory resources and a facilitated path appear to maximize the yield. We observed a considerable higher referral rates following launching a designated program and earlier OCP in chemo-naïve patients that culminated in a better fertility preservation procedure.

  5. Optimal Strategy for Integrated Dynamic Inventory Control and Supplier Selection in Unknown Environment via Stochastic Dynamic Programming

    Science.gov (United States)

    Sutrisno; Widowati; Solikhin

    2016-06-01

    In this paper, we propose a mathematical model in stochastic dynamic optimization form to determine the optimal strategy for an integrated single product inventory control problem and supplier selection problem where the demand and purchasing cost parameters are random. For each time period, by using the proposed model, we decide the optimal supplier and calculate the optimal product volume purchased from the optimal supplier so that the inventory level will be located at some point as close as possible to the reference point with minimal cost. We use stochastic dynamic programming to solve this problem and give several numerical experiments to evaluate the model. From the results, for each time period, the proposed model was generated the optimal supplier and the inventory level was tracked the reference point well.

  6. AZTECA, a y-y diagram oriented interactive computer program for optical system design and optimization

    Science.gov (United States)

    Flores-Hernandez, Ricardo

    1995-09-01

    The Centro de Investigaciones en Optica is developing the AZTECA optical design program to exploit the full synthesis capabilities intrinsic to Delano's y-y method. Both the y- y diagram and its dual the (omega) -(omega) diagram, are manipulated in real time to introduce changes at any point or line in those diagrams. These changes result in altered new versions of the optical system by means of a specialized subroutine that incorporates the fundamental synthesis equations for those diagrams. To display results on the computer's screen as the optimization process progress, AZTECA makes wide use of the fact that the y-y and the (omega) -(omega) diagrams display graphically all the first order attributes of an optical system. This program adjoins to these features the calculation of Buchdahl's 3rd, 5th, and 7th order aberration coefficients to the output. This results in a real time display of the system's paraxial and aberrational behavior. Efficient graphic displays, the program's modular structure and an interactive mode of operation, also contribute to make the AZTECA a versatile platform. It will be further developed as a new tool for efficient optical system design.

  7. Large-scale hydropower system optimization using dynamic programming and object-oriented programming: the case of the Northeast China Power Grid.

    Science.gov (United States)

    Li, Ji-Qing; Zhang, Yu-Shan; Ji, Chang-Ming; Wang, Ai-Jing; Lund, Jay R

    2013-01-01

    This paper examines long-term optimal operation using dynamic programming for a large hydropower system of 10 reservoirs in Northeast China. Besides considering flow and hydraulic head, the optimization explicitly includes time-varying electricity market prices to maximize benefit. Two techniques are used to reduce the 'curse of dimensionality' of dynamic programming with many reservoirs. Discrete differential dynamic programming (DDDP) reduces the search space and computer memory needed. Object-oriented programming (OOP) and the ability to dynamically allocate and release memory with the C++ language greatly reduces the cumulative effect of computer memory for solving multi-dimensional dynamic programming models. The case study shows that the model can reduce the 'curse of dimensionality' and achieve satisfactory results.

  8. Optimizing the Noticing of Recasts via Computer-Delivered Feedback: Evidence That Oral Input Enhancement and Working Memory Help Second Language Learning

    Science.gov (United States)

    Sagarra, Nuria; Abbuhl, Rebekha

    2013-01-01

    This study investigates whether practice with computer-administered feedback in the absence of meaning-focused interaction can help second language learners notice the corrective intent of recasts and develop linguistic accuracy. A group of 218 beginning Anglophone learners of Spanish received 1 of 4 types of automated feedback (no feedback,…

  9. Multimodal guided self-help exercise program to prevent speech, swallowing, and shoulder problems among head and neck cancer patients: a feasibility study.

    Science.gov (United States)

    Cnossen, Ingrid C; van Uden-Kraan, Cornelia F; Rinkel, Rico N P M; Aalders, Ijke J; de Goede, Cees J T; de Bree, Remco; Doornaert, Patricia; Rietveld, Derek H F; Langendijk, Johannes A; Witte, Birgit I; Leemans, C Rene; Verdonck-de Leeuw, Irma M

    2014-03-06

    During a 6-week course of (chemo)radiation many head and neck cancer patients have to endure radiotherapy-induced toxicity, negatively affecting patients' quality of life. Pretreatment counseling combined with self-help exercises could be provided to inform patients and possibly prevent them from having speech, swallowing, and shoulder problems during and after treatment. Our goal was to investigate the feasibility of a multimodal guided self-help exercise program entitled Head Matters during (chemo)radiation in head and neck cancer patients. Head and neck cancer patients treated with primary (chemo)radiation or after surgery were asked to perform Head Matters at home. This prophylactic exercise program, offered in three different formats, aims to reduce the risk of developing speech, swallowing, shoulder problems, and a stiff neck. Weekly coaching was provided by a speech and swallowing therapist. Patients filled out a diary to keep track of their exercise activity. To gain insight into possible barriers and facilitators to exercise adherence, reports of weekly coaching sessions were analyzed by 2 coders independently. Of 41 eligible patients, 34 patients were willing to participate (83% uptake). Of participating patients, 21 patients completed the program (64% adherence rate). The majority of participants (58%) had a moderate to high level of exercise performance. Exercise performance level was not significantly associated with age (P=.50), gender (P=.42), tumor subsite (P=1.00) or tumor stage (P=.20), treatment modality (P=.72), or Head Matters format (Web-based or paper) (P=1.00). Based on patients' diaries and weekly coaching sessions, patients' perceived barriers to exercise were a decreased physical condition, treatment-related barriers, emotional problems, lack of motivation, social barriers, and technical problems. Patients' perceived facilitators included an increased physical condition, feeling motivated, and social and technical facilitators. Head

  10. Schedule Optimization Study, Hanford RI/FS Program. Volume 2, Final report

    Energy Technology Data Exchange (ETDEWEB)

    1992-12-01

    A Schedule Optimization Study (SOS) of the US Department of Energy (DOE) Hanford Site Remedial Investigation/Feasibility Study (RI/FS) Program was conducted by an independent team of professionals from other federal agencies and the private sector experienced in environmental restoration. This team spent two weeks at Hanford in September 1992 examining the reasons for the lengthy RI/FS process at Hanford and developing recommendations to expedite the process. The need for the study arose out of a schedule dispute regarding the submission of the 1100-EM-1 Operable Unit RI/FS Work Plan. This report documents the study called for in the August 29, 1991, Dispute Resolution Committee Decision Statement. Battelle`s Environmental Management Operations (EMO) coordinated the effort for DOE`s Richland Field Office (RL).

  11. Racing Sampling Based Microimmune Optimization Approach Solving Constrained Expected Value Programming

    Directory of Open Access Journals (Sweden)

    Kai Yang

    2016-01-01

    Full Text Available This work investigates a bioinspired microimmune optimization algorithm to solve a general kind of single-objective nonlinear constrained expected value programming without any prior distribution. In the study of algorithm, two lower bound sample estimates of random variables are theoretically developed to estimate the empirical values of individuals. Two adaptive racing sampling schemes are designed to identify those competitive individuals in a given population, by which high-quality individuals can obtain large sampling size. An immune evolutionary mechanism, along with a local search approach, is constructed to evolve the current population. The comparative experiments have showed that the proposed algorithm can effectively solve higher-dimensional benchmark problems and is of potential for further applications.

  12. Crisp and fuzzy integer programming models for optimal carbon sequestration retrofit in the power sector

    Energy Technology Data Exchange (ETDEWEB)

    Tan, R.R.; Ng, D.K.S.; Foo, D.C.Y.; Aviso, K.B. [De La Salle University, Manila (Philippines)

    2010-12-15

    Carbon capture and storage (CCS) is one of the interim technologies to mitigate greenhouse gas emissions from stationary sources such as power plant and large industrial facilities. CCS allows for continued utilization of fossil fuels (e.g. coal, natural gas and oil), which are still relatively inexpensive and reliable in comparison to inherently low-carbon renewable resources (e.g. wind, solar etc.). On the other hand, retrofitting power plants for carbon capture (CC) entails major capital costs as well as reduction of thermal efficiency and power output. This paper presents integer programming optimization models for planning the retrofit of power plants at the regional, sectoral or national level. In addition to the base case (i.e., non-fuzzy or crisp) formulation, two fuzzy extensions are given to account for the inherent conflict between environmental and economic goals, as well as parametric uncertainties pertaining to the emerging CC technologies. Case studies are shown to illustrate the modeling approach.

  13. Multistage Stochastic Programming and its Applications in Energy Systems Modeling and Optimization

    Science.gov (United States)

    Golari, Mehdi

    Electric energy constitutes one of the most crucial elements to almost every aspect of life of people. The modern electric power systems face several challenges such as efficiency, economics, sustainability, and reliability. Increase in electrical energy demand, distributed generations, integration of uncertain renewable energy resources, and demand side management are among the main underlying reasons of such growing complexity. Additionally, the elements of power systems are often vulnerable to failures because of many reasons, such as system limits, weak conditions, unexpected events, hidden failures, human errors, terrorist attacks, and natural disasters. One common factor complicating the operation of electrical power systems is the underlying uncertainties from the demands, supplies and failures of system components. Stochastic programming provides a mathematical framework for decision making under uncertainty. It enables a decision maker to incorporate some knowledge of the intrinsic uncertainty into the decision making process. In this dissertation, we focus on application of two-stage and multistage stochastic programming approaches to electric energy systems modeling and optimization. Particularly, we develop models and algorithms addressing the sustainability and reliability issues in power systems. First, we consider how to improve the reliability of power systems under severe failures or contingencies prone to cascading blackouts by so called islanding operations. We present a two-stage stochastic mixed-integer model to find optimal islanding operations as a powerful preventive action against cascading failures in case of extreme contingencies. Further, we study the properties of this problem and propose efficient solution methods to solve this problem for large-scale power systems. We present the numerical results showing the effectiveness of the model and investigate the performance of the solution methods. Next, we address the sustainability issue

  14. The Michigan Surgical Home and Optimization Program is a scalable model to improve care and reduce costs.

    Science.gov (United States)

    Englesbe, Michael J; Grenda, Dane R; Sullivan, June A; Derstine, Brian A; Kenney, Brooke N; Sheetz, Kyle H; Palazzolo, William C; Wang, Nicholas C; Goulson, Rebecca L; Lee, Jay S; Wang, Stewart C

    2017-06-01

    The Michigan Surgical Home and Optimization Program is a structured, home-based, preoperative training program targeting physical, nutritional, and psychological guidance. The purpose of this study was to determine if participation in this program was associated with reduced hospital duration of stay and health care costs. We conducted a retrospective, single center, cohort study evaluating patients who participated in the Michigan Surgical Home and Optimization Program and subsequently underwent major elective general and thoracic operative care between June 2014 and December 2015. Propensity score matching was used to match program participants to a control group who underwent operative care prior to program implementation. Primary outcome measures were hospital duration of stay and payer costs. Multivariate regression was used to determine the covariate-adjusted effect of program participation. A total of 641 patients participated in the program; 82% were actively engaged in the program, recording physical activity at least 3 times per week for the majority of the program; 182 patients were propensity matched to patients who underwent operative care prior to program implementation. Multivariate analysis demonstrated that participation in the Michigan Surgical Home and Optimization Program was associated with a 31% reduction in hospital duration of stay (P < .001) and 28% lower total costs (P < .001) after adjusting for covariates. A home-based, preoperative training program decreased hospital duration of stay, lowered costs of care, and was well accepted by patients. Further efforts will focus on broader implementation and linking participation to postoperative complications and rigorous patient-reported outcomes. Copyright © 2016 Elsevier Inc. All rights reserved.

  15. Stochastic Optimal Regulation of Nonlinear Networked Control Systems by Using Event-Driven Adaptive Dynamic Programming.

    Science.gov (United States)

    Sahoo, Avimanyu; Jagannathan, Sarangapani

    2017-02-01

    In this paper, an event-driven stochastic adaptive dynamic programming (ADP)-based technique is introduced for nonlinear systems with a communication network within its feedback loop. A near optimal control policy is designed using an actor-critic framework and ADP with event sampled state vector. First, the system dynamics are approximated by using a novel neural network (NN) identifier with event sampled state vector. The optimal control policy is generated via an actor NN by using the NN identifier and value function approximated by a critic NN through ADP. The stochastic NN identifier, actor, and critic NN weights are tuned at the event sampled instants leading to aperiodic weight tuning laws. Above all, an adaptive event sampling condition based on estimated NN weights is designed by using the Lyapunov technique to ensure ultimate boundedness of all the closed-loop signals along with the approximation accuracy. The net result is event-driven stochastic ADP technique that can significantly reduce the computation and network transmissions. Finally, the analytical design is substantiated with simulation results.

  16. Optimized conical shaped charge design using the SCAP (Shaped Charge Analysis Program) code

    Energy Technology Data Exchange (ETDEWEB)

    Vigil, M.G.

    1988-09-01

    The Shaped Charge Analysis Program (SCAP) is used to analytically model and optimize the design of Conical Shaped Charges (CSC). A variety of existing CSCs are initially modeled with the SCAP code and the predicted jet tip velocities, jet penetrations, and optimum standoffs are compared to previously published experimental results. The CSCs vary in size from 0.69 inch (1.75 cm) to 9.125 inch (23.18 cm) conical liner inside diameter. Two liner materials (copper and steel) and several explosives (Octol, Comp B, PBX-9501) are included in the CSCs modeled. The target material was mild steel. A parametric study was conducted using the SCAP code to obtain the optimum design for a 3.86 inch (9.8 cm) CSC. The variables optimized in this study included the CSC apex angle, conical liner thickness, explosive height, optimum standoff, tamper/confinement thickness, and explosive width. The non-dimensionalized jet penetration to diameter ratio versus the above parameters are graphically presented. 12 refs., 10 figs., 7 tabs.

  17. Implementing Competency-Based Medical Education in a Postgraduate Family Medicine Residency Training Program: A Stepwise Approach, Facilitating Factors, and Processes or Steps That Would Have Been Helpful.

    Science.gov (United States)

    Schultz, Karen; Griffiths, Jane

    2016-05-01

    In 2009-2010, the postgraduate residency training program at the Department of Family Medicine, Queen's University, wrestled with the practicalities of competency-based medical education (CBME) implementation when its accrediting body, the College of Family Physicians of Canada, introduced the competency-based Triple C curriculum. The authors used a stepwise approach to implement CMBE; the steps were to (1) identify objectives, (2) identify competencies, (3) map objectives and competencies to learning experiences and assessment processes, (4) plan learning experiences, (5) develop an assessment system, (6) collect and interpret data, (7) adjust individual residents' training programs, and (8) distribute decisions to stakeholders. The authors also note overarching processes, costs, and facil itating factors and processes or steps that would have been helpful for CBME implementation. Early outcomes are encouraging. Residents are being directly observed more often with increased documented feedback about performance based on explicit competency standards (24,000 data points for 150 residents from 2013 to 2015). These multiple observations are being collated in a way that is allowing the identification of patterns of performance, red flags, and competency development trajectory. Outliers are being identified earlier, resulting in earlier individualized modification of their residency training program. The authors will continue to provide and refine faculty development, are developing an entrustable professional activity field note app for handheld devices, and are undertaking research to explore what facilitates learners' competency development, what increases assessors' confidence in making competence decisions, and whether residents are better trained as a result of CBME implementation.

  18. Effects of a Community-Based Healthy Lifestyle Intervention Program (Co-HELP among Adults with Prediabetes in a Developing Country: A Quasi-Experimental Study.

    Directory of Open Access Journals (Sweden)

    Norliza Ibrahim

    Full Text Available The prevalence of type 2 diabetes among Malaysian adults has increased by more than two folds over the past two decades. Strategies to collaborate with the existing community partners may become a promising channel for wide-scale dissemination of diabetes prevention in the country. The objectives of this study were to determine the effects of community-based lifestyle interventions delivered to adults with prediabetes and their health-related quality of life as compared to the usual care group.This was a quasi-experimental study conducted in two sub-urban communities in Seremban, Malaysia. A total of 268 participants with prediabetes aged between 18 to 65 years old were assigned to either the community-based lifestyle intervention (Co-HELP (n = 122 or the usual care (n = 146 groups. The Co-HELP program was delivered in partnership with the existing community volunteers to incorporate diet, physical activity, and behaviour modification strategies. Participants in the Co-HELP group received twelve group-based sessions and two individual counselling to reinforce behavioural change. Participants in the usual care group received standard health education from primary health providers in the clinic setting. Primary outcomes were fasting blood glucose, 2-hour plasma glucose, and HbA1C. Secondary outcomes included weight, BMI, waist circumference, total cholesterol, triglyceride, LDL cholesterol, HDL cholesterol, systolic and diastolic blood pressure, physical activity, diet, and health-related quality of life (HRQOL.An intention-to-treat analysis of between-groups at 12-month (mean difference, 95% CI revealed that the Co-HELP participants' mean fasting plasma glucose reduced by -0.40 mmol/l (-0.51 to -0.28, p600 METS/min/wk (60.7% vs 32.2%, p<0.001 compared to the usual care group.This study provides evidence that a culturally adapted diabetes prevention program can be implemented in the community setting, with reduction of several diabetes risk

  19. Cost-benefit study of consumer product take-back programs using IBM's WIT reverse logistics optimization tool

    Science.gov (United States)

    Veerakamolmal, Pitipong; Lee, Yung-Joon; Fasano, J. P.; Hale, Rhea; Jacques, Mary

    2002-02-01

    In recent years, there has been increased focus by regulators, manufacturers, and consumers on the issue of product end of life management for electronics. This paper presents an overview of a conceptual study designed to examine the costs and benefits of several different Product Take Back (PTB) scenarios for used electronics equipment. The study utilized a reverse logistics supply chain model to examine the effects of several different factors in PTB programs. The model was done using the IBM supply chain optimization tool known as WIT (Watson Implosion Technology). Using the WIT tool, we were able to determine a theoretical optimal cost scenario for PTB programs. The study was designed to assist IBM internally in determining theoretical optimal Product Take Back program models and determining potential incentives for increasing participation rates.

  20. A PC program to optimize system configuration for desired reliability at minimum cost

    Science.gov (United States)

    Hills, Steven W.; Siahpush, Ali S.

    1994-01-01

    High reliability is desired in all engineered systems. One way to improve system reliability is to use redundant components. When redundant components are used, the problem becomes one of allocating them to achieve the best reliability without exceeding other design constraints such as cost, weight, or volume. Systems with few components can be optimized by simply examining every possible combination but the number of combinations for most systems is prohibitive. A computerized iteration of the process is possible but anything short of a super computer requires too much time to be practical. Many researchers have derived mathematical formulations for calculating the optimum configuration directly. However, most of the derivations are based on continuous functions whereas the real system is composed of discrete entities. Therefore, these techniques are approximations of the true optimum solution. This paper describes a computer program that will determine the optimum configuration of a system of multiple redundancy of both standard and optional components. The algorithm is a pair-wise comparative progression technique which can derive the true optimum by calculating only a small fraction of the total number of combinations. A designer can quickly analyze a system with this program on a personal computer.

  1. Optimizing suicide prevention programs and their implementation in Europe (OSPI Europe): an evidence-based multi-level approach.

    Science.gov (United States)

    Hegerl, Ulrich; Wittenburg, Lisa; Arensman, Ella; Van Audenhove, Chantal; Coyne, James C; McDaid, David; van der Feltz-Cornelis, Christina M; Gusmão, Ricardo; Kopp, Mária; Maxwell, Margaret; Meise, Ullrich; Roskar, Saska; Sarchiapone, Marco; Schmidtke, Armin; Värnik, Airi; Bramesfeld, Anke

    2009-11-23

    Suicide and non-fatal suicidal behaviour are significant public health issues in Europe requiring effective preventive interventions. However, the evidence for effective preventive strategies is scarce. The protocol of a European research project to develop an optimized evidence based program for suicide prevention is presented. The groundwork for this research has been established by a regional community based intervention for suicide prevention that focuses on improving awareness and care for depression performed within the European Alliance Against Depression (EAAD). The EAAD intervention consists of (1) training sessions and practice support for primary care physicians,(2) public relations activities and mass media campaigns, (3) training sessions for community facilitators who serve as gatekeepers for depressed and suicidal persons in the community and treatment and (4) outreach and support for high risk and self-help groups (e.g. helplines). The intervention has been shown to be effective in reducing suicidal behaviour in an earlier study, the Nuremberg Alliance Against Depression. In the context of the current research project described in this paper (OSPI-Europe) the EAAD model is enhanced by other evidence based interventions and implemented simultaneously and in standardised way in four regions in Ireland, Portugal, Hungary and Germany. The enhanced intervention will be evaluated using a prospective controlled design with the primary outcomes being composite suicidal acts (fatal and non-fatal), and with intermediate outcomes being the effect of training programs, changes in public attitudes, guideline-consistent media reporting. In addition an analysis of the economic costs and consequences will be undertaken, while a process evaluation will monitor implementation of the interventions within the different regions with varying organisational and healthcare contexts. This multi-centre research seeks to overcome major challenges of field research in suicide

  2. Optimizing Suicide Prevention Programs and Their Implementation in Europe (OSPI Europe: an evidence-based multi-level approach

    Directory of Open Access Journals (Sweden)

    Maxwell Margaret

    2009-11-01

    Full Text Available Abstract Background Suicide and non-fatal suicidal behaviour are significant public health issues in Europe requiring effective preventive interventions. However, the evidence for effective preventive strategies is scarce. The protocol of a European research project to develop an optimized evidence based program for suicide prevention is presented. Method The groundwork for this research has been established by a regional community based intervention for suicide prevention that focuses on improving awareness and care for depression performed within the European Alliance Against Depression (EAAD. The EAAD intervention consists of (1 training sessions and practice support for primary care physicians,(2 public relations activities and mass media campaigns, (3 training sessions for community facilitators who serve as gatekeepers for depressed and suicidal persons in the community and treatment and (4 outreach and support for high risk and self-help groups (e.g. helplines. The intervention has been shown to be effective in reducing suicidal behaviour in an earlier study, the Nuremberg Alliance Against Depression. In the context of the current research project described in this paper (OSPI-Europe the EAAD model is enhanced by other evidence based interventions and implemented simultaneously and in standardised way in four regions in Ireland, Portugal, Hungary and Germany. The enhanced intervention will be evaluated using a prospective controlled design with the primary outcomes being composite suicidal acts (fatal and non-fatal, and with intermediate outcomes being the effect of training programs, changes in public attitudes, guideline-consistent media reporting. In addition an analysis of the economic costs and consequences will be undertaken, while a process evaluation will monitor implementation of the interventions within the different regions with varying organisational and healthcare contexts. Discussion This multi-centre research seeks to

  3. Optimizing suicide prevention programs and their implementation in Europe (OSPI-Europe): An evidence-based multi-level approach

    LENUS (Irish Health Repository)

    Hegerl, Ulrich

    2009-11-23

    Abstract Background Suicide and non-fatal suicidal behaviour are significant public health issues in Europe requiring effective preventive interventions. However, the evidence for effective preventive strategies is scarce. The protocol of a European research project to develop an optimized evidence based program for suicide prevention is presented. Method The groundwork for this research has been established by a regional community based intervention for suicide prevention that focuses on improving awareness and care for depression performed within the European Alliance Against Depression (EAAD). The EAAD intervention consists of (1) training sessions and practice support for primary care physicians,(2) public relations activities and mass media campaigns, (3) training sessions for community facilitators who serve as gatekeepers for depressed and suicidal persons in the community and treatment and (4) outreach and support for high risk and self-help groups (e.g. helplines). The intervention has been shown to be effective in reducing suicidal behaviour in an earlier study, the Nuremberg Alliance Against Depression. In the context of the current research project described in this paper (OSPI-Europe) the EAAD model is enhanced by other evidence based interventions and implemented simultaneously and in standardised way in four regions in Ireland, Portugal, Hungary and Germany. The enhanced intervention will be evaluated using a prospective controlled design with the primary outcomes being composite suicidal acts (fatal and non-fatal), and with intermediate outcomes being the effect of training programs, changes in public attitudes, guideline-consistent media reporting. In addition an analysis of the economic costs and consequences will be undertaken, while a process evaluation will monitor implementation of the interventions within the different regions with varying organisational and healthcare contexts. Discussion This multi-centre research seeks to overcome major

  4. Optimizing suicide prevention programs and their implementation in Europe (OSPI Europe): an evidence-based multi-level approach.

    LENUS (Irish Health Repository)

    Hegerl, Ulrich

    2009-01-01

    BACKGROUND: Suicide and non-fatal suicidal behaviour are significant public health issues in Europe requiring effective preventive interventions. However, the evidence for effective preventive strategies is scarce. The protocol of a European research project to develop an optimized evidence based program for suicide prevention is presented. METHOD: The groundwork for this research has been established by a regional community based intervention for suicide prevention that focuses on improving awareness and care for depression performed within the European Alliance Against Depression (EAAD). The EAAD intervention consists of (1) training sessions and practice support for primary care physicians,(2) public relations activities and mass media campaigns, (3) training sessions for community facilitators who serve as gatekeepers for depressed and suicidal persons in the community and treatment and (4) outreach and support for high risk and self-help groups (e.g. helplines). The intervention has been shown to be effective in reducing suicidal behaviour in an earlier study, the Nuremberg Alliance Against Depression. In the context of the current research project described in this paper (OSPI-Europe) the EAAD model is enhanced by other evidence based interventions and implemented simultaneously and in standardised way in four regions in Ireland, Portugal, Hungary and Germany. The enhanced intervention will be evaluated using a prospective controlled design with the primary outcomes being composite suicidal acts (fatal and non-fatal), and with intermediate outcomes being the effect of training programs, changes in public attitudes, guideline-consistent media reporting. In addition an analysis of the economic costs and consequences will be undertaken, while a process evaluation will monitor implementation of the interventions within the different regions with varying organisational and healthcare contexts. DISCUSSION: This multi-centre research seeks to overcome major

  5. Helping individuals to help themselves.

    Science.gov (United States)

    Costain, Lyndel; Croker, Helen

    2005-02-01

    Obesity is a serious and increasing health issue. Approximately two-thirds of adults in the UK are now overweight or obese. Recent public health reports firmly reinforce the importance of engaging individuals to look after their health, including their weight. They also spell out the need for individuals to be supported more actively, on many levels, to enable this 'engagement'. Meanwhile, national surveys indicate that approximately two-thirds of adults are concerned about weight control, with one-third actively trying to lose weight. This finding is hardly surprising considering current weight statistics, plus the plethora of popular diets on offer. Weight-loss methods include diet clubs, diet books, exercise, meal replacements, advice from healthcare professionals and following a self-styled diet. Obesity is a multi-factorial problem, and losing weight and, in particular, maintaining weight loss is difficult and often elusive. It is argued that the modern obesogenic or 'toxic' environment has essentially taken body-weight control from an instinctive 'survival' process to one that needs sustained cognitive and skill-based control. The evidence suggests that health professionals can help individuals achieve longer-term weight control by supporting them in making sustainable lifestyle changes using a range of behavioural techniques. These techniques include: assessing readiness to change; self-monitoring; realistic goal setting; dietary change; increased physical activity; stimulus control; cognitive restructuring; relapse management; establishing ongoing support. Consistently working in a client-centred way is also being increasingly advocated and incorporated into practice to help motivate and encourage, rather than hinder, the individual's progress.

  6. Finding an Optimal Location of Line Facility using Evolutionary Algorithm and Integer Program

    Science.gov (United States)

    Taji, Takenao; Tanigawa, Shin-Ichi; Kamiyama, Naoyuki; Katoh, Naoki; Takizawa, Atsushi

    In this paper, we consider the problem for determining an optimal location of a line facility in a city such as railway system. A line facility is modeled as a spanning tree embedded on the plane whose vertices represent stations and edges represent the rails connecting two stations, and people can travel not only by walk but also by using the line facility quickly. Suppose there are a finite number of towns in a city, only in which people lives. Then, our problem is to find a location of the stations as well as a connection of the stations such that the sum of travel time between all pairs of towns is minimum. Tsukamoto, Katoh and Takizawa proposed a heuristic algorithm for the problem which consists of two phases as follows. In the first phase, fixing the position of stations, it determines the topology of the line facility. The second phase optimizes the position of stations while the topology is fixed. The algorithm alternately executes these two phases until a converged solution is obtained. Tsukamoto et al. determined the topology of the line facility by solving minimum spanning tree (MST) in the first phase. In this paper, we propose two methods for determining the topology of the line facility so that the sum of travel time is minimized hoping to improving the previous algorithm. The first proposed method heuristically determine the topology by using evolutionary algorithm (EA). In the second method, we reduce our problem to minimum communication spanning tree (MCST) problem by making a further assumption, and solve it by formulating the problem as an integer program. We show the effectiveness of our proposed algorithm through the numerical experiments.

  7. Measurement of functional capacity requirements to aid in development of an occupation-specific rehabilitation training program to help firefighters with cardiac disease safely return to work.

    Science.gov (United States)

    Adams, Jenny; Roberts, Joanne; Simms, Kay; Cheng, Dunlei; Hartman, Julie; Bartlett, Charles

    2009-03-15

    We designed a study to measure the functional capacity requirements of firefighters to aid in the development of an occupation-specific training program in cardiac rehabilitation; 23 healthy male firefighters with no history of heart disease completed a fire and rescue obstacle course that simulated 7 common firefighting tasks. They wore complete personal protective equipment and portable metabolic instruments that included a data collection mask. We monitored each subject's oxygen consumption (VO(2)) and working heart rate, then calculated age-predicted maximum heart rates (220 - age) and training target heart rates (85% of age-predicted maximum heart rate). During performance of the obstacle course, the subjects' mean working heart rates and peak heart rates were higher than the calculated training target heart rates (t(22) = 5.69 [working vs target, p <0.001] and t(22) = 15.14 [peak vs target, p <0.001]). These findings, with mean results for peak VO(2) (3,447 ml/min) and metabolic equivalents (11.9 METs), show that our subjects' functional capacity greatly exceeded that typically attained by patients in traditional cardiac rehabilitation programs (5 to 8 METs). In conclusion, our results indicate the need for intense, occupation-specific cardiac rehabilitation training that will help firefighters safely return to work after a cardiac event.

  8. Program to study optimal protocol for cardiovascular and muscular efficiency. [physical fitness training for manned space flight

    Science.gov (United States)

    Olree, H. D.

    1974-01-01

    Training programs necessary for the development of optimal strength during prolonged manned space flight were examined, and exercises performed on the Super Mini Gym Skylab 2 were compared with similar exercises on the Universal Gym and calisthenics. Cardiopulmonary gains were found negligible but all training groups exhibited good gains in strength.

  9. An effect of physical activity-based recreation programs on children's optimism, humor styles, and school life adjustment.

    Science.gov (United States)

    Koo, Jae-Eun; Lee, Gwang-Uk

    2015-06-01

    This study puts its purpose in identifying the effect of the participation in physical activity-based recreation programs on the optimism of children, humor styles, and school life adjustment. To achieve the study purpose, this study selected 190 subjects as samples were extracted targeting senior students of elementary schools who participated in the physical activity-based recreation in the metropolitan areas as of 2014. As research methods, questionnaire papers were used and reliability analysis, factor analysis, correlation analysis, and multiple regression analysis were conducted by utilizing SPSS 18.0 after inputting analysis data into the computer. The study results, obtained in this study are as follows: First, in terms of the effect of the participation in physical activity-based recreation programs on optimism, participation frequency and participation intensity would have an effect on optimism, while participation period would have a significant effect on being positive among the sub-factors of optimism. Second, participation in physical activity-based recreation programs might have a significant effect on humor styles. Third, in terms of the effect of the participation in physical activity-based recreation programs on the school life adjustment, it was demonstrated that participation period and participation intensity would have a significant effect on school life adjustment, while participation frequency would have a significant effect on regulation-observance and school life satisfaction.

  10. Optimal design of a combustion chamber of gas turbine engine by a Combustion chamber 1D-2D computer program

    Science.gov (United States)

    Aleksandrov, Y. B.; Mingazov, B. G.

    2017-09-01

    The paper shows a method of modeling and optimization of processes in combustion chambers of gas turbine engines using a computer program developed by a team at the Department of Jet Engines and Power Plants (DJEPP) of Technical University named after A N Tupolev KNRTU-KAI.

  11. Optimal land use management for soil erosion control by using an interval-parameter fuzzy two-stage stochastic programming approach.

    Science.gov (United States)

    Han, Jing-Cheng; Huang, Guo-He; Zhang, Hua; Li, Zhong

    2013-09-01

    Soil erosion is one of the most serious environmental and public health problems, and such land degradation can be effectively mitigated through performing land use transitions across a watershed. Optimal land use management can thus provide a way to reduce soil erosion while achieving the maximum net benefit. However, optimized land use allocation schemes are not always successful since uncertainties pertaining to soil erosion control are not well presented. This study applied an interval-parameter fuzzy two-stage stochastic programming approach to generate optimal land use planning strategies for soil erosion control based on an inexact optimization framework, in which various uncertainties were reflected. The modeling approach can incorporate predefined soil erosion control policies, and address inherent system uncertainties expressed as discrete intervals, fuzzy sets, and probability distributions. The developed model was demonstrated through a case study in the Xiangxi River watershed, China's Three Gorges Reservoir region. Land use transformations were employed as decision variables, and based on these, the land use change dynamics were yielded for a 15-year planning horizon. Finally, the maximum net economic benefit with an interval value of [1.197, 6.311] × 10(9) $ was obtained as well as corresponding land use allocations in the three planning periods. Also, the resulting soil erosion amount was found to be decreased and controlled at a tolerable level over the watershed. Thus, results confirm that the developed model is a useful tool for implementing land use management as not only does it allow local decision makers to optimize land use allocation, but can also help to answer how to accomplish land use changes.

  12. Central composite design with the help of multivariate curve resolution in loadability optimization of RP-HPLC to scale-up a binary mixture.

    Science.gov (United States)

    Taheri, Mohammadreza; Moazeni-Pourasil, Roudabeh Sadat; Sheikh-Olia-Lavasani, Majid; Karami, Ahmad; Ghassempour, Alireza

    2016-03-01

    Chromatographic method development for preparative targets is a time-consuming and subjective process. This can be particularly problematic because of the use of valuable samples for isolation and the large consumption of solvents in preparative scale. These processes could be improved by using statistical computations to save time, solvent and experimental efforts. Thus, contributed by ESI-MS, after applying DryLab software to gain an overview of the most effective parameters in separation of synthesized celecoxib and its co-eluted compounds, design of experiment software that relies on multivariate modeling as a chemometric approach was used to predict the optimized touching-band overloading conditions by objective functions according to the relationship between selectivity and stationary phase properties. The loadability of the method was investigated on the analytical and semi-preparative scales, and the performance of this chemometric approach was approved by peak shapes beside recovery and purity of products. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  13. Gestalt Breastfeeding: Helping Mothers and Infants Optimize Positional Stability and Intraoral Breast Tissue Volume for Effective, Pain-Free Milk Transfer.

    Science.gov (United States)

    Douglas, Pamela; Keogh, Renee

    2017-08-01

    In the past decade, biological nurturing and activation of maternal and infant instincts after birth have constituted a major advance in clinical breastfeeding support. Yet, physiologic breastfeeding initiation is not enough to ensure ongoing pain-free and effective breastfeeding for many pairs. Current interventions, including "hands-off" mammalian approaches, do not improve breastfeeding outcomes, including in randomized controlled trials. Back-arching, difficulty latching or staying on the breast, and fussing at the breast are common signs of infant positional instability during breastfeeding. These cues are, however, often misdiagnosed as signs of medical conditions or oral connective tissue abnormalities, and underlying positional instability is not addressed. New clinical approaches are urgently required. This article offers a clinical approach to fit and hold (or latch and positioning)- gestalt breastfeeding, which aims to optimize positional stability and intraoral breast tissue volumes for pain-free effective breastfeeding. The word gestalt (pronounced "ger-shtolt") means a whole that is more than the sum of its parts. Gestalt breastfeeding builds on the theoretical foundations of complexity science, physiologic breastfeeding initiation, and new understandings of the biomechanics of infant suck elucidated in ultrasound studies. It also integrates simple psychological strategies from applied functional contextualism, popularly known as Acceptance and Commitment Therapy, empowering women to attend mindfully to breast sensations and their infant's cues. Gestalt breastfeeding can be reproduced for research purposes, including in comparison studies with oral surgery, and has the potential to improve breastfeeding outcomes.

  14. Establishing an optimized patient-specific verification program for volumetric modulated arc therapy

    Energy Technology Data Exchange (ETDEWEB)

    Serna, Alfredo, E-mail: alfredo.serna@carm.es [Department of Medical Physics, Hospital Universitario Santa Lucía, Cartagena (Spain); Mata, Fernando; Puchades, Vicente [Department of Medical Physics, Hospital Universitario Santa Lucía, Cartagena (Spain)

    2013-10-01

    Quality assurance (QA) of volumetric modulated arc therapy (VMAT) increases the workload significantly. We compared the results from 4 verification methods to establish an efficient VMAT QA. Planning for VMAT treatments was carried out for 40 consecutive patients. Pretreatment verifications were carried out with ion chamber array Physikalish-Technische Werkstätten (PTW729), electronic portal dosimetry (EPID), ion chamber measurements, and independent dose calculation with Diamond program. 2D analyses were made using the gamma analysis (3 mm distance to agreement and 3% dose difference relative to maximum, 10% dose threshold). Average point dose difference calculated by Eclipse relative to ion chamber measurements and Diamond were 0.1%±0.9% and 0.6%±2.2%, respectively. Average pass rate for PTW729 was 99.2%±1.9% and 98.3%±1.3% for EPID. The total required time (linac occupancy time given in parentheses) for each QA method was: PTW729 43.5 minutes (26.5 minutes), EPID 14.5 minutes (2.5 minutes), ion chamber 34.5 minutes (26.5 minutes), and Diamond 12.0 minutes (0 minute). The results were consistent and allowed us to establish an optimized protocol, considering safety and accuracy as well as workload, consisting of 2 verification methods: EPID 2D analysis and independent dose calculation.

  15. The nurse scheduling problem: a goal programming and nonlinear optimization approaches

    Science.gov (United States)

    Hakim, L.; Bakhtiar, T.; Jaharuddin

    2017-01-01

    Nurses scheduling is an activity of allocating nurses to conduct a set of tasks at certain room at a hospital or health centre within a certain period. One of obstacles in the nurse scheduling is the lack of resources in order to fulfil the needs of the hospital. Nurse scheduling which is undertaken manually will be at risk of not fulfilling some nursing rules set by the hospital. Therefore, this study aimed to perform scheduling models that satisfy all the specific rules set by the management of Bogor State Hospital. We have developed three models to overcome the scheduling needs. Model 1 is designed to schedule nurses who are solely assigned to a certain inpatient unit and Model 2 is constructed to manage nurses who are assigned to an inpatient room as well as at Polyclinic room as conjunct nurses. As the assignment of nurses on each shift is uneven, then we propose Model 3 to minimize the variance of the workload in order to achieve equitable assignment on every shift. The first two models are formulated in goal programming framework, while the last model is in nonlinear optimization form.

  16. On the reformulation of topology optimization problems as linear or convex quadratic mixed 0-1 programs

    DEFF Research Database (Denmark)

    Stolpe, Mathias

    2004-01-01

    linear or as convex quadratic mixed 0-1 programs. The reformulations provide new insight into the structure of the problems and may provide a foundation for the development of new methods and heuristics for solving topology optimization problems. The applications considered are maximum stiffness design......We consider equivalent reformulations of nonlinear mixed 0-1 optimization problems arising from a broad range of recent applications of topology optimization for the design of continuum structures and composite materials. It is shown that the considered problems may equivalently be cast as either...... of structures subjected to either static or periodic loads, design of composite materials with prescribed homogenized properties using the inverse homogenization approach, optimization of fluids in Stokes flow, design of band gap structures, and multi-physics problems involving coupled steady-state heat...

  17. On the reformulation of topology optimization problems as linear or convex quadratic mixed 0–1 programs

    DEFF Research Database (Denmark)

    Stolpe, Mathias

    2007-01-01

    linear or convex quadratic mixed 0–1 programs. The reformulations provide new insight into the structure of the problems and may provide a foundation for the development of new methods and heuristics for solving topology optimization problems. The applications considered are maximum stiffness design......We consider equivalent reformulations of nonlinear mixed 0–1 optimization problems arising from a broad range of recent applications of topology optimization for the design of continuum structures and composite materials. We show that the considered problems can equivalently be cast as either...... of structures subjected to static or periodic loads, design of composite materials with prescribed homogenized properties using the inverse homogenization approach, optimization of fluids in Stokes flow, design of band gap structures, and multi-physics problems involving coupled steady-state heat conduction...

  18. Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming

    Energy Technology Data Exchange (ETDEWEB)

    Morais, Hugo; Faria, Pedro; Vale, Zita A.; Khodr, H.M. [GECAD - Knowledge Engineering and Decision-Support, Research Center of the Electrical Engineering, Polytechnic Institute of Porto (ISEP/IPP) (Portugal); Kadar, Peter [Budapest University of Technology and Economics, Muegyetem rkp. 3-9, H-1111 Budapest (Hungary)

    2010-01-15

    In the energy management of the isolated operation of small power system, the economic scheduling of the generation units is a crucial problem. Applying right timing can maximize the performance of the supply. The optimal operation of a wind turbine, a solar unit, a fuel cell and a storage battery is searched by a mixed-integer linear programming implemented in General Algebraic Modeling Systems (GAMS). A Virtual Power Producer (VPP) can optimal operate the generation units, assured the good functioning of equipment, including the maintenance, operation cost and the generation measurement and control. A central control at system allows a VPP to manage the optimal generation and their load control. The application of methodology to a real case study in Budapest Tech, demonstrates the effectiveness of this method to solve the optimal isolated dispatch of the DC micro-grid renewable energy park. The problem has been converged in 0.09 s and 30 iterations. (author)

  19. Element Partition Trees For H-Refined Meshes to Optimize Direct Solver Performance. Part I: Dynamic Programming

    KAUST Repository

    AbouEisha, Hassan M.

    2017-07-13

    We consider a class of two-and three-dimensional h-refined meshes generated by an adaptive finite element method. We introduce an element partition tree, which controls the execution of the multi-frontal solver algorithm over these refined grids. We propose and study algorithms with polynomial computational cost for the optimization of these element partition trees. The trees provide an ordering for the elimination of unknowns. The algorithms automatically optimize the element partition trees using extensions of dynamic programming. The construction of the trees by the dynamic programming approach is expensive. These generated trees cannot be used in practice, but rather utilized as a learning tool to propose fast heuristic algorithms. In this first part of our paper we focus on the dynamic programming approach, and draw a sketch of the heuristic algorithm. The second part will be devoted to a more detailed analysis of the heuristic algorithm extended for the case of hp-adaptive

  20. Solution of transient optimization problems by using an algorithm based on nonlinear programming

    Science.gov (United States)

    Teren, F.

    1977-01-01

    An algorithm is presented for solution of dynamic optimization problems which are nonlinear in the state variables and linear in the control variables. It is shown that the optimal control is bang-bang. A nominal bang-bang solution is found which satisfies the system equations and constraints, and influence functions are generated which check the optimality of the solution. Nonlinear optimization (gradient search) techniques are used to find the optimal solution. The algorithm is used to find a minimum time acceleration for a turbofan engine.

  1. Can reduce--the effects of chat-counseling and web-based self-help, web-based self-help alone and a waiting list control program on cannabis use in problematic cannabis users: a randomized controlled trial.

    Science.gov (United States)

    Schaub, Michael P; Haug, Severin; Wenger, Andreas; Berg, Oliver; Sullivan, Robin; Beck, Thilo; Stark, Lars

    2013-11-14

    In European countries, including Switzerland, as well as in many states worldwide, cannabis is the most widely used psychoactive substance after alcohol and tobacco. Although approximately one in ten users develop serious problems of dependency, only a minority attends outpatient addiction counseling centers. The offer of a combined web-based self-help and chat counseling treatment could potentially also reach those users who hesitate to approach such treatment centers and help them to reduce their cannabis use. This paper presents the protocol for a three-armed randomized controlled trial that will test the effectiveness of a web-based self-help intervention in combination with, or independent of, tailored chat counseling compared to a waiting list in reducing or enabling the abstention from cannabis use in problematic users. The primary outcome will be the weekly quantity of cannabis used. Secondary outcome measures will include the number of days per week on which cannabis is used, the severity of cannabis use disorder, the severity of cannabis dependence, cannabis withdrawal symptoms, cannabis craving, the use of alcohol, tobacco, and other non-cannabis illicit drugs, changes in mental health symptoms, and treatment retention. The self-help intervention will consist of 8 modules designed to reduce cannabis use based on the principles of motivational interviewing, self-control practices, and methods of cognitive behavioral therapy. The two additional individual chat-counseling sessions in the additional chat condition will be based on the same therapy approaches and tailored to participants' self-help information data and personal problems. The predictive validity of participants' baseline characteristics on treatment retention and outcomes will be explored. To the best of our knowledge, this will be the first randomized controlled trial to test the effectiveness of online self-help therapy in combination or without chat counseling in reducing or enabling the

  2. Mexican American Women’s Perspectives on a Culturally Adapted Cognitive-Behavioral Therapy Guided Self-Help Program for Binge Eating

    Science.gov (United States)

    Shea, Munyi; Cachelin, Fary M.; Gutierrez, Guadalupe; Wang, Sherry; Phimphasone, Phoutdavone

    2015-01-01

    The prevalence of bulimia nervosa (BN) and binge eating disorder (BED) among Latinas is comparable to those of the general population; however, few interventions and treatment trial research have focused on this group. Cognitive-behavioral therapy (CBT) is the treatment of choice for binge eating related disorders. CBT-based guided self-help (CBTgsh)—a low-cost minimal intervention—has also been shown effective in improving binge eating related symptom, but the effectiveness of the CBTgsh among ethnic minority women is not well understood. Cultural adaptation of evidence-based treatments can be an important step for promoting treatment accessibility and engagement among underserved groups. This qualitative study was part of a larger investigation that examined the feasibility and efficacy of a culturally adapted CBTgsh program among Mexican American women with binge eating disorders. Post-treatment focus groups were conducted with 12 Mexican American women with BN or BED who participated in the intervention. Data were analyzed with the grounded theory methodology (Corbin & Strauss, 2008). Three themes emerged from the data: 1) eating behavior and body ideals are socially and culturally constructed, 2) multifaceted support system is crucial to Mexican American women’s treatment engagement and success, and 3) the culturally adapted CBTgsh program is feasible and relevant to Mexican American women’s experience, but it can be strengthened with increased family and peer support. The findings provide suggestions for further adaptation and refinement of the CBTgsh, and implications for future research as well as early intervention for disordered eating in organized care settings. PMID:26462112

  3. DETERMINATION OF OPTIMAL CONTOURS OF OPEN PIT MINE DURING OIL SHALE EXPLOITATION, BY MINEX 5.2.3. PROGRAM

    Directory of Open Access Journals (Sweden)

    Miroslav Ignjatović

    2013-04-01

    Full Text Available By examination and determination of optimal solution of technological processes of exploitation and oil shale processing from Aleksinac site and with adopted technical solution and exploitation of oil shale, derived a technical solution that optimize contour of the newly defined open pit mine. In the world, this problem is solved by using a computer program that has become the established standard for quick and efficient solution for this problem. One of the computer’s program, which can be used for determination of the optimal contours of open pit mines is Minex 5.2.3. program, produced in Australia in the Surpac Minex Group Pty Ltd Company, which is applied at the Mining and Metallurgy Institute Bor (no. of licenses are SSI - 24765 and SSI - 24766. In this study, authors performed 11 optimization of deposit geo - models in Minex 5.2.3. based on the tests results, performed in a laboratory for soil mechanics of Mining and Metallurgy Institute, Bor, on samples from the site of Aleksinac deposits.

  4. A generalized fuzzy credibility-constrained linear fractional programming approach for optimal irrigation water allocation under uncertainty

    Science.gov (United States)

    Zhang, Chenglong; Guo, Ping

    2017-10-01

    The vague and fuzzy parametric information is a challenging issue in irrigation water management problems. In response to this problem, a generalized fuzzy credibility-constrained linear fractional programming (GFCCFP) model is developed for optimal irrigation water allocation under uncertainty. The model can be derived from integrating generalized fuzzy credibility-constrained programming (GFCCP) into a linear fractional programming (LFP) optimization framework. Therefore, it can solve ratio optimization problems associated with fuzzy parameters, and examine the variation of results under different credibility levels and weight coefficients of possibility and necessary. It has advantages in: (1) balancing the economic and resources objectives directly; (2) analyzing system efficiency; (3) generating more flexible decision solutions by giving different credibility levels and weight coefficients of possibility and (4) supporting in-depth analysis of the interrelationships among system efficiency, credibility level and weight coefficient. The model is applied to a case study of irrigation water allocation in the middle reaches of Heihe River Basin, northwest China. Therefore, optimal irrigation water allocation solutions from the GFCCFP model can be obtained. Moreover, factorial analysis on the two parameters (i.e. λ and γ) indicates that the weight coefficient is a main factor compared with credibility level for system efficiency. These results can be effective for support reasonable irrigation water resources management and agricultural production.

  5. A Risk Explicit Interval Linear Programming Model for Uncertainty-Based Environmental Economic Optimization in the Lake Fuxian Watershed, China

    Directory of Open Access Journals (Sweden)

    Xiaoling Zhang

    2013-01-01

    Full Text Available The conflict of water environment protection and economic development has brought severe water pollution and restricted the sustainable development in the watershed. A risk explicit interval linear programming (REILP method was used to solve integrated watershed environmental-economic optimization problem. Interval linear programming (ILP and REILP models for uncertainty-based environmental economic optimization at the watershed scale were developed for the management of Lake Fuxian watershed, China. Scenario analysis was introduced into model solution process to ensure the practicality and operability of optimization schemes. Decision makers’ preferences for risk levels can be expressed through inputting different discrete aspiration level values into the REILP model in three periods under two scenarios. Through balancing the optimal system returns and corresponding system risks, decision makers can develop an efficient industrial restructuring scheme based directly on the window of “low risk and high return efficiency” in the trade-off curve. The representative schemes at the turning points of two scenarios were interpreted and compared to identify a preferable planning alternative, which has the relatively low risks and nearly maximum benefits. This study provides new insights and proposes a tool, which was REILP, for decision makers to develop an effectively environmental economic optimization scheme in integrated watershed management.

  6. A risk explicit interval linear programming model for uncertainty-based environmental economic optimization in the Lake Fuxian watershed, China.

    Science.gov (United States)

    Zhang, Xiaoling; Huang, Kai; Zou, Rui; Liu, Yong; Yu, Yajuan

    2013-01-01

    The conflict of water environment protection and economic development has brought severe water pollution and restricted the sustainable development in the watershed. A risk explicit interval linear programming (REILP) method was used to solve integrated watershed environmental-economic optimization problem. Interval linear programming (ILP) and REILP models for uncertainty-based environmental economic optimization at the watershed scale were developed for the management of Lake Fuxian watershed, China. Scenario analysis was introduced into model solution process to ensure the practicality and operability of optimization schemes. Decision makers' preferences for risk levels can be expressed through inputting different discrete aspiration level values into the REILP model in three periods under two scenarios. Through balancing the optimal system returns and corresponding system risks, decision makers can develop an efficient industrial restructuring scheme based directly on the window of "low risk and high return efficiency" in the trade-off curve. The representative schemes at the turning points of two scenarios were interpreted and compared to identify a preferable planning alternative, which has the relatively low risks and nearly maximum benefits. This study provides new insights and proposes a tool, which was REILP, for decision makers to develop an effectively environmental economic optimization scheme in integrated watershed management.

  7. Optimization of a genomic breeding program for a moderately sized dairy cattle population.

    Science.gov (United States)

    Reiner-Benaim, A; Ezra, E; Weller, J I

    2017-04-01

    Although it now standard practice to genotype thousands of female calves, genotyping of bull calves is generally limited to progeny of elite cows. In addition to genotyping costs, increasing the pool of candidate sires requires purchase, isolation, and identification of calves until selection decisions are made. We economically optimized via simulation a genomic breeding program for a population of approximately 120,000 milk-recorded cows, corresponding to the Israeli Holstein population. All 30,000 heifers and 60,000 older cows of parities 1 to 3 were potential bull dams. Animals were assumed to have genetic evaluations for a trait with heritability of 0.25 derived by an animal model evaluation of the population. Only bull calves were assumed to be genotyped. A pseudo-phenotype corresponding to each animal's genetic evaluation was generated, consisting of the animal's genetic value plus a residual with variance set to obtain the assumed reliability for each group of animals. Between 4 and 15 bulls and between 200 and 27,000 cows with the highest pseudo-phenotypes were selected as candidate bull parents. For all progeny of the founder animals, genetic values were simulated as the mean of the parental values plus a Mendelian sampling effect with variance of 0.5. A probability of 0.3 for a healthy bull calf per mating, and a genomic reliability of 0.43 were assumed. The 40 bull calves with the highest genomic evaluations were selected for general service for 1 yr. Costs included genotyping of candidate bulls and their dams, purchase of the calves from the farmers, and identification. Costs of raising culled calves were partially recovered by resale for beef. Annual costs were estimated as $10,922 + $305 × candidate bulls. Nominal profit per cow per genetic standard deviation was $106. Economic optimum with a discount rate of 5%, first returns after 4 yr, and a profit horizon of 15 yr were obtained with genotyping 1,620 to 1,750 calves for all numbers of bull sires

  8. A study of the use of linear programming techniques to improve the performance in design optimization problems

    Science.gov (United States)

    Young, Katherine C.; Sobieszczanski-Sobieski, Jaroslaw

    1988-01-01

    This project has two objectives. The first is to determine whether linear programming techniques can improve performance when handling design optimization problems with a large number of design variables and constraints relative to the feasible directions algorithm. The second purpose is to determine whether using the Kreisselmeier-Steinhauser (KS) function to replace the constraints with one constraint will reduce the cost of total optimization. Comparisons are made using solutions obtained with linear and non-linear methods. The results indicate that there is no cost saving using the linear method or in using the KS function to replace constraints.

  9. A dynamic multiarmed bandit-gene expression programming hyper-heuristic for combinatorial optimization problems.

    Science.gov (United States)

    Sabar, Nasser R; Ayob, Masri; Kendall, Graham; Qu, Rong

    2015-02-01

    Hyper-heuristics are search methodologies that aim to provide high-quality solutions across a wide variety of problem domains, rather than developing tailor-made methodologies for each problem instance/domain. A traditional hyper-heuristic framework has two levels, namely, the high level strategy (heuristic selection mechanism and the acceptance criterion) and low level heuristics (a set of problem specific heuristics). Due to the different landscape structures of different problem instances, the high level strategy plays an important role in the design of a hyper-heuristic framework. In this paper, we propose a new high level strategy for a hyper-heuristic framework. The proposed high-level strategy utilizes a dynamic multiarmed bandit-extreme value-based reward as an online heuristic selection mechanism to select the appropriate heuristic to be applied at each iteration. In addition, we propose a gene expression programming framework to automatically generate the acceptance criterion for each problem instance, instead of using human-designed criteria. Two well-known, and very different, combinatorial optimization problems, one static (exam timetabling) and one dynamic (dynamic vehicle routing) are used to demonstrate the generality of the proposed framework. Compared with state-of-the-art hyper-heuristics and other bespoke methods, empirical results demonstrate that the proposed framework is able to generalize well across both domains. We obtain competitive, if not better results, when compared to the best known results obtained from other methods that have been presented in the scientific literature. We also compare our approach against the recently released hyper-heuristic competition test suite. We again demonstrate the generality of our approach when we compare against other methods that have utilized the same six benchmark datasets from this test suite.

  10. Diabetes-specific nutrition algorithm: a transcultural program to optimize diabetes and prediabetes care.

    Science.gov (United States)

    Mechanick, Jeffrey I; Marchetti, Albert E; Apovian, Caroline; Benchimol, Alexander Koglin; Bisschop, Peter H; Bolio-Galvis, Alexis; Hegazi, Refaat A; Jenkins, David; Mendoza, Enrique; Sanz, Miguel Leon; Sheu, Wayne Huey-Herng; Tatti, Patrizio; Tsang, Man-Wo; Hamdy, Osama

    2012-04-01

    Type 2 diabetes (T2D) and prediabetes have a major global impact through high disease prevalence, significant downstream pathophysiologic effects, and enormous financial liabilities. To mitigate this disease burden, interventions of proven effectiveness must be used. Evidence shows that nutrition therapy improves glycemic control and reduces the risks of diabetes and its complications. Accordingly, diabetes-specific nutrition therapy should be incorporated into comprehensive patient management programs. Evidence-based recommendations for healthy lifestyles that include healthy eating can be found in clinical practice guidelines (CPGs) from professional medical organizations. To enable broad implementation of these guidelines, recommendations must be reconstructed to account for cultural differences in lifestyle, food availability, and genetic factors. To begin, published CPGs and relevant medical literature were reviewed and evidence ratings applied according to established protocols for guidelines. From this information, an algorithm for the nutritional management of people with T2D and prediabetes was created. Subsequently, algorithm nodes were populated with transcultural attributes to guide decisions. The resultant transcultural diabetes-specific nutrition algorithm (tDNA) was simplified and optimized for global implementation and validation according to current standards for CPG development and cultural adaptation. Thus, the tDNA is a tool to facilitate the delivery of nutrition therapy to patients with T2D and prediabetes in a variety of cultures and geographic locations. It is anticipated that this novel approach can reduce the burden of diabetes, improve quality of life, and save lives. The specific Southeast Asian and Asian Indian tDNA versions can be found in companion articles in this issue of Current Diabetes Reports.

  11. Generalized Convexity and Concavity Properties of the Optimal Value Function in Parametric Nonlinear Programming.

    Science.gov (United States)

    1983-04-11

    existing ones. * -37- !I T-472 REFERENCES [1] Avriel, M., W. E. Diewert, S. Schaible and W. T. Ziemba (1981). Introduction to concave and generalized concave...functions. In Generalized Concavity in Optimization and Economics (S. Schaible and W. T. Ziemba , eds.), Academic Press, New York, pp. 21-50. (21 Bank...Optimality conditions involving generalized convex mappings. In Generalized Concavity in Optimization and Economics (S. Schaible and W. T. Ziemba

  12. HELP! Problems in executing a pragmatic, randomized, stepped wedge trial on the Hospital Elder Life Program to prevent delirium in older patients.

    Science.gov (United States)

    Heim, Noor; van Stel, Henk F; Ettema, Roelof G; van der Mast, Roos C; Inouye, Sharon K; Schuurmans, Marieke J

    2017-05-17

    A pragmatic, stepped wedge trial design can be an appealing design to evaluate complex interventions in real-life settings. However, there are certain pitfalls that need to be considered. This paper reports on the experiences and lessons learned from the conduct of a cluster randomized, stepped wedge trial evaluating the effect of the Hospital Elder Life Program (HELP) in a Dutch hospital setting to prevent older patients from developing delirium. We evaluated our trial which was conducted in eight departments in two hospitals in hospitalized patients aged 70 years or older who were at risk for delirium by reflecting on the assumptions that we had and on what we intended to accomplish when we started, as compared to what we actually realized in the different phases of our study. Lessons learned on the design, the timeline, the enrollment of eligible patients and the use of routinely collected data are provided accompanied by recommendations to address challenges. The start of the trial was delayed which caused subsequent time schedule problems. The requirement for individual informed consent for a quality improvement project made the inclusion more prone to selection bias. Most units experienced major difficulties in including patients, leading to excluding two of the eight units from participation. This resulted in failing to include a similar number of patients in the control condition versus the intervention condition. Data on outcomes routinely collected in the electronic patient records were not accessible during the study, and appeared to be often missing during analyses. The stepped wedge, cluster randomized trial poses specific risks in the design and execution of research in real-life settings of which researchers should be aware to prevent negative consequences impacting the validity of their results. Valid conclusions on the effectiveness of the HELP in the Dutch hospital setting are hampered by the limited quantity and quality of routine clinical data

  13. A Constraint Programming Model for Fast Optimal Stowage of Container Vessel Bays

    DEFF Research Database (Denmark)

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

    2012-01-01

    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 maste...

  14. Optimal Control Strategy Design Based on Dynamic Programming for a Dual-Motor Coupling-Propulsion System

    Science.gov (United States)

    Zhang, Shuo; Zhang, Chengning; Han, Guangwei; Wang, Qinghui

    2014-01-01

    A dual-motor coupling-propulsion electric bus (DMCPEB) is modeled, and its optimal control strategy is studied in this paper. The necessary dynamic features of energy loss for subsystems is modeled. Dynamic programming (DP) technique is applied to find the optimal control strategy including upshift threshold, downshift threshold, and power split ratio between the main motor and auxiliary motor. Improved control rules are extracted from the DP-based control solution, forming near-optimal control strategies. Simulation results demonstrate that a significant improvement in reducing energy loss due to the dual-motor coupling-propulsion system (DMCPS) running is realized without increasing the frequency of the mode switch. PMID:25540814

  15. Dynamic Programming Algorithm for Generation of Optimal Elimination Trees for Multi-frontal Direct Solver Over H-refined Grids

    KAUST Repository

    AbouEisha, Hassan M.

    2014-06-06

    In this paper we present a dynamic programming algorithm for finding optimal elimination trees for computational grids refined towards point or edge singularities. The elimination tree is utilized to guide the multi-frontal direct solver algorithm. Thus, the criterion for the optimization of the elimination tree is the computational cost associated with the multi-frontal solver algorithm executed over such tree. We illustrate the paper with several examples of optimal trees found for grids with point, isotropic edge and anisotropic edge mixed with point singularity. We show the comparison of the execution time of the multi-frontal solver algorithm with results of MUMPS solver with METIS library, implementing the nested dissection algorithm.

  16. An Optimization Model of Carbon Sinks in CDM Forestry Projects Based on Interval Linear Programming

    Directory of Open Access Journals (Sweden)

    Wenjin Zhao

    2012-06-01

    Full Text Available This study describes the first general optimization model for complex systems with uncertain parameters and decision variables represented as intervals in CDM forestry projects. We work through a specific example of the optimization method developed for a Clean Development Mechanism (CDM forestry project in Inner Mongolia, China. This model is designed to optimize the carbon sink capacity of the new forests, and can deal with uncertainties in the carbon sink capacity, average annual rainfall, ecological parameters, and biological characteristics of tree species. The uncertain inputs are presented in the form of intervals, as are several of the optimized output variables. Compared with the project’s originally recommended scheme, the optimized model will absorb and fix between 1,142 and 885,762 tonnes of extra carbon dioxide. Moreover, the ecological and environmental benefits of the project are also raised to various extents.

  17. A Data-Driven Distributionally Robust Bound on the Expected Optimal Value of Uncertain Mixed 0-1 Linear Programming

    OpenAIRE

    Xu, Guanglin; Burer, Samuel

    2017-01-01

    This paper studies the expected optimal value of a mixed 0-1 programming problem with uncertain objective coefficients following a joint distribution. We assume that the true distribution is not known exactly, but a set of independent samples can be observed. Using the Wasserstein metric, we construct an ambiguity set centered at the empirical distribution from the observed samples and containing the true distribution with a high statistical guarantee. The problem of interest is to investigat...

  18. A quasi-Newton approach to optimization problems with probability density constraints. [problem solving in mathematical programming

    Science.gov (United States)

    Tapia, R. A.; Vanrooy, D. L.

    1976-01-01

    A quasi-Newton method is presented for minimizing a nonlinear function while constraining the variables to be nonnegative and sum to one. The nonnegativity constraints were eliminated by working with the squares of the variables and the resulting problem was solved using Tapia's general theory of quasi-Newton methods for constrained optimization. A user's guide for a computer program implementing this algorithm is provided.

  19. Vorvida: study protocol of a randomized controlled trial testing the effectiveness of Internet-based self-help program for the reduction of alcohol consumption for adults.

    Science.gov (United States)

    Zill, Jördis M; Meyer, Björn; Topp, Janine; Daubmann, Anne; Härter, Martin; Dirmaier, Jörg

    2016-01-29

    Problem drinking is an important global health concern, causing premature mortality and morbidity. Only few problem drinkers seek professional care, unfortunately, because of multiple barriers such as insufficient change motivation, fear of stigmatization or limited access to care. The aim of this study will be to examine the effectiveness of a novel Internet intervention termed Vorvida, which was developed based on established cognitive-behavioral therapy techniques with the aim of reducing problematic alcohol consumption. A two-arm randomized control trial (RCT) will be conducted to determine whether using Vorvida results in greater reductions in self-reported problem drinking, compared with a care-as-usual/waitlist (CAU/WL) control group. There will be a baseline assessment (t0) and follow-up assessments after three (t1) and six months (t2). Inclusion criteria will be: minimum age of 18, an average consumption of alcohol >24/12 g (men/women) per day and an AUDIT-C score ≥ 3, as well as informed consent. Participants will be randomly assigned to the intervention or control condition at a ratio of 1:1. Recruitment, informed consent, randomization and assessment will be Internet-based. Primary outcome will be change in self-reported alcohol consumption between t0 and t1. Secondary outcomes will be self-reported drinking behavior, expectancies of effects of alcohol use, abstinence and relapse tendencies, self-efficacy and motivation to change. This study is expected to establish the extent to which a novel Internet intervention could contribute to reducing problem drinking among adults with mild to severe alcohol use disorders who may or may not seek or access a traditional treatments. Potentially, this program could be an effective and efficient tool to help reduce problem drinking on a population level because a great number of users can be reached simultaneously without adding burden to treating clinicians. German Clinical Trial Registration (DRKS): DRKS

  20. Optima: A Model for HIV Epidemic Analysis, Program Prioritization, and Resource Optimization

    National Research Council Canada - National Science Library

    Kerr, Cliff C; Stuart, Robyn M; Gray, Richard T; Shattock, Andrew J; Fraser-Hurt, Nicole; Benedikt, Clemens; Haacker, Markus; Berdnikov, Maxim; Mahmood, Ahmed Mohamed; Jaber, Seham Abdalla; Gorgens, Marelize; Wilson, David P

    2015-01-01

    Optima is a software package for modeling HIV epidemics and interventions that we developed to address practical policy and program problems encountered by funders, governments, health planners, and program implementers...

  1. Design and protocol for the Dialysis Optimal Health Program (DOHP) randomised controlled trial.

    Science.gov (United States)

    Knowles, Simon R; Ski, Chantal F; Langham, Robyn; O'Flaherty, Emmet; Thompson, David R; Rossell, Susan L; Moore, Gaye; Hsueh, Ya-Seng Arthur; Castle, David J

    2016-09-09

    Chronic kidney disease (CKD) and end-stage kidney disease (ESKD) are serious and growing health problems with enormous impact on psychological and social functioning. Despite high rates of comorbid depression and anxiety in these patient populations, and the adverse impact these have upon treatment adherence, quality of life, social connectedness and healthcare costs there has been little attention focused on the prevention or management of these problems. Thus, our aim was to evaluate the Dialysis Optimal Health Program (DOHP) that adopts a person-centred approach and engages collaborative therapy to educate and support those diagnosed with ESKD who are commencing dialysis. The study design is a randomised controlled trial. Ninety-six adult patients initiating haemodialysis or peritoneal dialysis will be randomly allocated to either the intervention (DOHP) or usual care group. Participants receiving the intervention will receive nine (8 + 1 booster session) sequential sessions based on a structured information/workbook, psychosocial and educational supports and skills building. The primary outcome measures are depression and anxiety (assessed by the Hospital Anxiety and Depression Scale; HADS). Secondary outcomes include health-related quality of life (assessed by the Kidney Disease Quality of Life instrument; KDQOL), self-efficacy (assessed by General Self-Efficacy Scale) and clinical indices (e.g. albumin and haemoglobin levels). Cost-effectiveness analysis and process evaluation will also be performed to assess the economic value and efficacy of the DOHP. Primary and secondary measures will be collected at baseline and at 3-, 6-, and 12-month follow-up time points. We believe that this innovative trial will enhance knowledge of interventions aimed at supporting patients in the process of starting dialysis, and will broaden the focus from physical symptoms to include psychosocial factors such as depression, anxiety, self-efficacy, wellbeing and community

  2. Analytical and Mathematical Modeling and Optimization of Fiber Metal Laminates (FMLs subjected to low-velocity impact via combined response surface regression and zero-One programming

    Directory of Open Access Journals (Sweden)

    Faramarz Ashenai Ghasemi

    Full Text Available This paper presents analytical and mathematical modeling and optimization of the dynamic behavior of the fiber metal laminates (FMLs subjected to low-velocity impact. The deflection to thickness (w/h ratio has been identified through the governing equations of the plate that are solved using the first-order shear deformation theory as well as the Fourier series method. With the help of a two degrees-of-freedom system, consisting of springs-masses, and the Choi's linearized Hertzian contact model the interaction between the impactor and the plate is modeled. Thirty-one experiments are conducted on samples of different layer sequences and volume fractions of Al plies in the composite Structures. A reliable fitness function in the form of a strict linear mathematical function constructed. Using an ordinary least square method, response regression coefficients estimated and a zero-one programming technique proposed to optimize the FML plate behavior subjected to any technological or cost restrictions. The results indicated that FML plate behavior is highly affected by layer sequences and volume fractions of Al plies. The results also showed that, embedding Al plies at outer layers of the structure significantly results in a better response of the structure under low-velocity impact, instead of embedding them in the middle or middle and outer layers of the structure.

  3. An Optimization Model for Expired Drug Recycling Logistics Networks and Government Subsidy Policy Design Based on Tri-level Programming

    Directory of Open Access Journals (Sweden)

    Hui Huang

    2015-07-01

    Full Text Available In order to recycle and dispose of all people’s expired drugs, the government should design a subsidy policy to stimulate users to return their expired drugs, and drug-stores should take the responsibility of recycling expired drugs, in other words, to be recycling stations. For this purpose it is necessary for the government to select the right recycling stations and treatment stations to optimize the expired drug recycling logistics network and minimize the total costs of recycling and disposal. This paper establishes a tri-level programming model to study how the government can optimize an expired drug recycling logistics network and the appropriate subsidy policies. Furthermore, a Hybrid Genetic Simulated Annealing Algorithm (HGSAA is proposed to search for the optimal solution of the model. An experiment is discussed to illustrate the good quality of the recycling logistics network and government subsides obtained by the HGSAA. The HGSAA is proven to have the ability to converge on the global optimal solution, and to act as an effective algorithm for solving the optimization problem of expired drug recycling logistics network and government subsidies.

  4. Multi-objective optimization of an on-road bicycle frame by uniform design and compromise programming

    Directory of Open Access Journals (Sweden)

    Yung-Chang Cheng

    2016-02-01

    Full Text Available With the rapid changes in manufacturing technology of bicycle, the safety and performance of a bicycle are important and remarkable research subjects. In this study, an innovative and integrated optimization procedure for multi-objective optimization of an on-road bicycle frame is presented. The multiple objectives are to reduce the bicycle frame’s permanent deformations and to decrease the bicycle frame’s mass. First, uniform design of experiments is applied to create a set of sampling points in the design space of control factors. Second, three-dimensional solid models of bicycle frames are constructed and permanent deformations of bicycle frames under dropping-mass and dropping-frame impact test simulations are measured by ANSYS and ANSYS/LS-DYNA. Third, Kriging interpolation is used to transform the discrete relations between input control factors and output measures to continuous surrogate models. Fourth, compromise programming and mixture uniform design of experiments are used to integrate the multiple-objective functions into one compromise objective function. Finally, generalized reduced gradient algorithm is employed to solve the optimization problem. After executing the innovative optimization procedure, an optimized on-road bicycle frame is obtained. Comparing with the original design, the frame’s permanent deformations and mass are reduced. Therefore, both consolidation and lightweight of on-road bicycle frame are achieved.

  5. An Optimization Model for Expired Drug Recycling Logistics Networks and Government Subsidy Policy Design Based on Tri-level Programming

    Science.gov (United States)

    Huang, Hui; Li, Yuyu; Huang, Bo; Pi, Xing

    2015-01-01

    In order to recycle and dispose of all people’s expired drugs, the government should design a subsidy policy to stimulate users to return their expired drugs, and drug-stores should take the responsibility of recycling expired drugs, in other words, to be recycling stations. For this purpose it is necessary for the government to select the right recycling stations and treatment stations to optimize the expired drug recycling logistics network and minimize the total costs of recycling and disposal. This paper establishes a tri-level programming model to study how the government can optimize an expired drug recycling logistics network and the appropriate subsidy policies. Furthermore, a Hybrid Genetic Simulated Annealing Algorithm (HGSAA) is proposed to search for the optimal solution of the model. An experiment is discussed to illustrate the good quality of the recycling logistics network and government subsides obtained by the HGSAA. The HGSAA is proven to have the ability to converge on the global optimal solution, and to act as an effective algorithm for solving the optimization problem of expired drug recycling logistics network and government subsidies. PMID:26184252

  6. JuPOETs: a constrained multiobjective optimization approach to estimate biochemical model ensembles in the Julia programming language.

    Science.gov (United States)

    Bassen, David M; Vilkhovoy, Michael; Minot, Mason; Butcher, Jonathan T; Varner, Jeffrey D

    2017-01-25

    Ensemble modeling is a promising approach for obtaining robust predictions and coarse grained population behavior in deterministic mathematical models. Ensemble approaches address model uncertainty by using parameter or model families instead of single best-fit parameters or fixed model structures. Parameter ensembles can be selected based upon simulation error, along with other criteria such as diversity or steady-state performance. Simulations using parameter ensembles can estimate confidence intervals on model variables, and robustly constrain model predictions, despite having many poorly constrained parameters. In this software note, we present a multiobjective based technique to estimate parameter or models ensembles, the Pareto Optimal Ensemble Technique in the Julia programming language (JuPOETs). JuPOETs integrates simulated annealing with Pareto optimality to estimate ensembles on or near the optimal tradeoff surface between competing training objectives. We demonstrate JuPOETs on a suite of multiobjective problems, including test functions with parameter bounds and system constraints as well as for the identification of a proof-of-concept biochemical model with four conflicting training objectives. JuPOETs identified optimal or near optimal solutions approximately six-fold faster than a corresponding implementation in Octave for the suite of test functions. For the proof-of-concept biochemical model, JuPOETs produced an ensemble of parameters that gave both the mean of the training data for conflicting data sets, while simultaneously estimating parameter sets that performed well on each of the individual objective functions. JuPOETs is a promising approach for the estimation of parameter and model ensembles using multiobjective optimization. JuPOETs can be adapted to solve many problem types, including mixed binary and continuous variable types, bilevel optimization problems and constrained problems without altering the base algorithm. JuPOETs is open

  7. A convex programming framework for optimal and bounded suboptimal well field management

    DEFF Research Database (Denmark)

    Dorini, Gianluca Fabio; Thordarson, Fannar Ørn; Bauer-Gottwein, Peter

    2012-01-01

    are often convex, hence global optimality can be attained by a wealth of algorithms. Among these, the Interior Point methods are extensively employed for practical applications, as they are capable of efficiently solving large-scale problems. Despite this, management models explicitly embedding both systems...... without simplifications are rare, and they usually involve heuristic techniques. The main limitation with heuristics is that neither optimality nor suboptimality bounds can be guarantee. This paper extends the proof of convexity to mixed management models, enabling the use of Interior Point techniques...... to compute globally optimal management solutions. If convexity is not achieved, it is shown how suboptimal solutions can be computed, and how to bind their deviation from the optimality. Experimental results obtained by testing the methodology in a well field located nearby Copenhagen (DK), show...

  8. Internet-based information and self-help program for parents of children with burns: Study protocol for a randomized controlled trial

    Directory of Open Access Journals (Sweden)

    Josefin Sveen

    2015-11-01

    Conclusion: We believe that this program will offer parents of children with burns information and support, decrease symptoms of stress, and that parents will perceive the program as useful. If the program is found to be beneficial, it could be implemented in burn care as it is accessible and cost-effective.

  9. Barriers and facilitators to the dissemination of DECISION+, a continuing medical education program for optimizing decisions about antibiotics for acute respiratory infections in primary care: A study protocol

    Directory of Open Access Journals (Sweden)

    Gagnon Marie-Pierre

    2011-01-01

    decision making regarding the use of antibiotics in acute respiratory infections, to facilitate its dissemination in primary care on a large scale. Our results should help continuing medical educators develop a continuing medical education program in shared decision making for other clinically relevant topics. This will help optimize clinical decisions in primary care.

  10. Music Training Program: A Method Based on Language Development and Principles of Neuroscience to Optimize Speech and Language Skills in Hearing-Impaired Children

    Directory of Open Access Journals (Sweden)

    Samaneh Sadat Dastgheib

    2013-03-01

    Full Text Available Introduction: In recent years, music has been employed in many intervention and rehabilitation program to enhance cognitive abilities in patients. Numerous researches show that music therapy can help improving language skills in patients including hearing impaired. In this study, a new method of music training is introduced based on principles of neuroscience and capabilities of Persian language to optimize language development in deaf children after implantation.    Materials and Methods: The candidate children are classified in three groups according to their hearing age and language development. The music training program is established and centered on four principles, as follows: hearing and listening to music (with special attention to boost hearing, singing, rhythmic movements with music and playing musical instruments.   Results: Recently much research has demonstrated that even after cochlear implant operation, a child cannot acquire language to the same level of detail as a normal child. As a result of this study music could compensate this developmental delay .It is known that the greater the area of the brain that is activated, the more synaptic learning and plasticity changes occur in that specific area. According to the principles of neural plasticity, music could improve language skills by activating the same areas for language processing in the brain.   Conclusion:  In conclusion, the effects of music on the human brain seem to be very promising and therapeutic in various types of disorders and conditions, including cochlear implantation.

  11. Optimizing engagement in goal pursuit with youth with physical disabilities attending life skills and transition programs: an exploratory study.

    Science.gov (United States)

    Smart, Eric; Aulakh, Adeeta; McDougall, Carolyn; Rigby, Patty; King, Gillian

    2017-10-01

    Identify strategies youth perceive will optimize their engagement in goal pursuit in life skills and transition programs using an engagement framework involving affective, cognitive, and behavioral components. A qualitative descriptive design was used. Two semi-structured interviews were conducted with seven youth. The first was informed by a prior observation session, and the second occurred after the program ended and explored youths' perceptions of whether and how their engagement changed. Data were analyzed using thematic analysis. The analysis generated eight strategies youth considered effective. These were categorized under the three components of engagement. Affective strategies: (1) building a relationship on familiarity and reciprocity; and (2) guiding the program using youths' preferences and strengths. Cognitive strategies: (3) assisting youth to envision meaningful change; (4) utilizing youths' learning styles; and (5) promoting awareness of goal progress. Behavioral strategies: (6) ensuring youth access to a resource network; (7) providing youth multiple decision opportunities; and (8) enabling youth to showcase capabilities. Service providers together with youth are encouraged to consider the role of context and self-determination needs in order to optimize youth engagement in goal pursuit. Systematic approaches to studying engagement are necessary to learn how to maximize rehabilitation potential. Implications for Rehabilitation Service providers are encouraged to be aware of the nature of engagement strategies identified by youth. Comprehensive frameworks of engagement are essential to generate knowledge on the range of strategies service providers can use to engage clients in rehabilitation services. Strategies perceived by youth to optimize their engagement in goal pursuit in life skills and transition programs have subtle yet significant differences with strategies used in other rehabilitation settings like mental health and adult healthcare

  12. When pharmacodynamics trump costs: an antimicrobial stewardship program's approach to selecting optimal antimicrobial agents

    National Research Council Canada - National Science Library

    Goff, Debra A; Nicolau, David P

    2013-01-01

    .... Antimicrobial stewardship programs provide guidance for clinicians regarding use of the most appropriate antimicrobial at the right dose, duration, and route in addition to being cost-effective...

  13. Derivative-free neural network for optimizing the scoring functions associated with dynamic programming of pairwise-profile alignment.

    Science.gov (United States)

    Yamada, Kazunori D

    2018-01-01

    A profile-comparison method with position-specific scoring matrix (PSSM) is among the most accurate alignment methods. Currently, cosine similarity and correlation coefficients are used as scoring functions of dynamic programming to calculate similarity between PSSMs. However, it is unclear whether these functions are optimal for profile alignment methods. By definition, these functions cannot capture nonlinear relationships between profiles. Therefore, we attempted to discover a novel scoring function, which was more suitable for the profile-comparison method than existing functions, using neural networks. Although neural networks required derivative-of-cost functions, the problem being addressed in this study lacked them. Therefore, we implemented a novel derivative-free neural network by combining a conventional neural network with an evolutionary strategy optimization method used as a solver. Using this novel neural network system, we optimized the scoring function to align remote sequence pairs. Our results showed that the pairwise-profile aligner using the novel scoring function significantly improved both alignment sensitivity and precision relative to aligners using existing functions. We developed and implemented a novel derivative-free neural network and aligner (Nepal) for optimizing sequence alignments. Nepal improved alignment quality by adapting to remote sequence alignments and increasing the expressiveness of similarity scores. Additionally, this novel scoring function can be realized using a simple matrix operation and easily incorporated into other aligners. Moreover our scoring function could potentially improve the performance of homology detection and/or multiple-sequence alignment of remote homologous sequences. The goal of the study was to provide a novel scoring function for profile alignment method and develop a novel learning system capable of addressing derivative-free problems. Our system is capable of optimizing the performance of other

  14. Piece-wise mixed integer programming for optimal sizing of surge control devices in water distribution systems

    Science.gov (United States)

    Skulovich, Olya; Bent, Russell; Judi, David; Perelman, Lina Sela; Ostfeld, Avi

    2015-06-01

    Despite their potential catastrophic impact, transients are often ignored or presented ad hoc when designing water distribution systems. To address this problem, we introduce a new piece-wise function fitting model that is integrated with mixed integer programming to optimally place and size surge tanks for transient control. The key features of the algorithm are a model-driven discretization of the search space, a linear approximation nonsmooth system response surface to transients, and a mixed integer linear programming optimization. Results indicate that high quality solutions can be obtained within a reasonable number of function evaluations and demonstrate the computational effectiveness of the approach through two case studies. The work investigates one type of surge control devices (closed surge tank) for a specified set of transient events. The performance of the algorithm relies on the assumption that there exists a smooth relationship between the objective function and tank size. Results indicate the potential of the approach for the optimal surge control design in water systems.

  15. System, methods and apparatus for program optimization for multi-threaded processor architectures

    Science.gov (United States)

    Bastoul, Cedric; Lethin, Richard A; Leung, Allen K; Meister, Benoit J; Szilagyi, Peter; Vasilache, Nicolas T; Wohlford, David E

    2015-01-06

    Methods, apparatus and computer software product for source code optimization are provided. In an exemplary embodiment, a first custom computing apparatus is used to optimize the execution of source code on a second computing apparatus. In this embodiment, the first custom computing apparatus contains a memory, a storage medium and at least one processor with at least one multi-stage execution unit. The second computing apparatus contains at least two multi-stage execution units that allow for parallel execution of tasks. The first custom computing apparatus optimizes the code for parallelism, locality of operations and contiguity of memory accesses on the second computing apparatus. This Abstract is provided for the sole purpose of complying with the Abstract requirement rules. This Abstract is submitted with the explicit understanding that it will not be used to interpret or to limit the scope or the meaning of the claims.

  16. Multimodal Guided Self-Help Exercise Program to Prevent Speech, Swallowing, and Shoulder Problems Among Head and Neck Cancer Patients: A Feasibility Study

    National Research Council Canada - National Science Library

    Cnossen, Ingrid C; van Uden-Kraan, Cornelia F; Rinkel, Rico N. P. M; Aalders, IJke J; de Goede, Cees J. T; de Bree, Remco; Doornaert, Patricia; Rietveld, Derek H. F; Langendijk, Johannes A; Witte, Birgit I; Leemans, C. Rene; Verdonck-de Leeuw, Irma M

    2014-01-01

    .... Pretreatment counseling combined with self-help exercises could be provided to inform patients and possibly prevent them from having speech, swallowing, and shoulder problems during and after treatment. Objective...

  17. Optimal Decision-Making in Fuzzy Economic Order Quantity (EOQ Model under Restricted Space: A Non-Linear Programming Approach

    Directory of Open Access Journals (Sweden)

    M. Pattnaik

    2013-08-01

    Full Text Available In this paper the concept of fuzzy Non-Linear Programming Technique is applied to solve an economic order quantity (EOQ model under restricted space. Since various types of uncertainties and imprecision are inherent in real inventory problems they are classically modeled using the approaches from the probability theory. However, there are uncertainties that cannot be appropriately treated by usual probabilistic models. The questions how to define inventory optimization tasks in such environment how to interpret optimal solutions arise. This paper allows the modification of the Single item EOQ model in presence of fuzzy decision making process where demand is related to the unit price and the setup cost varies with the quantity produced/Purchased. This paper considers the modification of objective function and storage area in the presence of imprecisely estimated parameters. The model is developed for the problem by employing different modeling approaches over an infinite planning horizon. It incorporates all concepts of a fuzzy arithmetic approach, the quantity ordered and the demand per unit compares both fuzzy non linear and other models. Investigation of the properties of an optimal solution allows developing an algorithm whose validity is illustrated through an example problem and ugh MATLAB (R2009a version software, the two and three dimensional diagrams are represented to the application. Sensitivity analysis of the optimal solution is also studied with respect to changes in different parameter values and to draw managerial insights of the decision problem.

  18. Life cycle cost optimization of biofuel supply chains under uncertainties based on interval linear programming

    DEFF Research Database (Denmark)

    Ren, Jingzheng; Dong, Liang; Sun, Lu

    2015-01-01

    The aim of this work was to develop a model for optimizing the life cycle cost of biofuel supply chain under uncertainties. Multiple agriculture zones, multiple transportation modes for the transport of grain and biofuel, multiple biofuel plants, and multiple market centers were considered...... model, and the results showed that the proposed model is feasible for designing biofuel supply chain under uncertainties...

  19. Approximating the Pareto Set of Multiobjective Linear Programs via Robust Optimization

    NARCIS (Netherlands)

    Gorissen, B.L.; den Hertog, D.

    2012-01-01

    Abstract: The Pareto set of a multiobjective optimization problem consists of the solutions for which one or more objectives can not be improved without deteriorating one or more other objectives. We consider problems with linear objectives and linear constraints and use Adjustable Robust

  20. 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 is a combinatorial optimization problem with both high economic and environmental impact. The most successful approaches to tackle this problem use hierarchical decompositions in which the sub-problems of these decompositions assign containers to slots in individual vesse...

  1. Convexity and Concavity Properties of the Optimal Value Function in Parametric Nonlinear Programming.

    Science.gov (United States)

    1982-12-21

    and W. T. ZIEMBA (1981). Intro- duction to concave and generalized concave functions. In Gener- alized Concavity in Optimization and Economics (S...Schaible and W. T. Ziemba , eds.), pp. 21-50. Academic Press, New York. BANK, B., J. GUDDAT, D. KLATTE, B. KUMMER, and K. TAMMER (1982). Non- Linear

  2. Mixed integer programming improves comprehensibility and plan quality in inverse optimization of prostate HDR Brachytherapy

    NARCIS (Netherlands)

    Gorissen, B.L.; den Hertog, D.; Hoffmann, A.L.

    2013-01-01

    Current inverse treatment planning methods that optimize both catheter positions and dwell times in prostate HDR brachytherapy use surrogate linear or quadratic objective functions that have no direct interpretation in terms of dose-volume histogram (DVH) criteria, do not result in an optimum or

  3. Optimal phasing of district heating network investments using multi-stage stochastic programming

    Directory of Open Access Journals (Sweden)

    Romain Stephane Claude Lambert

    2016-06-01

    Full Text Available Most design optimisation studies for district heating systems have focused on the optimal sizing of network assets and on the location of production units. However, the strategic value of the flexibility in phasing of the inherently modular heat networks, which is an important aspect in many feasibility studies for district heating schemes in the UK, is almost always neglected in the scientific literature. This paper considers the sequential problem faced by a decision-maker in the phasing of long-term investments into district heating networks and their expansions. The problem is formulated as a multi-stage stochastic programme to determine the annual capital expenditure that maximises the expected net present value of the project. The optimisation approach is illustrated by applying it to the hypothetical case of the UK’s Marston Vale eco town. It was found that the approach is capable of simulating the optimal growth of a network, from both a single heat source or separate islands of growth, as well as the optimal marginal expansion of an existing district heating network. The proposed approach can be used by decision makers as a framework to determine both the optimal phasing and extension of district heating networks and can be adapted simply to various, more complex real-life situations by introducing additional constraints and parameters. The versatility of the base formulation also makes it a powerful approach regardless of the size of the network and also potentially applicable to cooling networks.

  4. The Orienteering Problem under Uncertainty Stochastic Programming and Robust Optimization compared

    NARCIS (Netherlands)

    Evers, L.; Glorie, K.; Ster, S. van der; Barros, A.I.; Monsuur, H.

    2012-01-01

    The Orienteering Problem (OP) is a generalization of the well-known traveling salesman problem and has many interesting applications in logistics, tourism and defense. To reflect real-life situations, we focus on an uncertain variant of the OP. Two main approaches that deal with optimization under

  5. Outcomes In Two Massachusetts Hospital Systems Give Reason For Optimism About Communication-And-Resolution Programs.

    Science.gov (United States)

    Mello, Michelle M; Kachalia, Allen; Roche, Stephanie; Niel, Melinda Van; Buchsbaum, Lisa; Dodson, Suzanne; Folcarelli, Patricia; Benjamin, Evan M; Sands, Kenneth E

    2017-10-01

    Through communication-and-resolution programs, hospitals and liability insurers communicate with patients when adverse events occur; investigate and explain what happened; and, where appropriate, apologize and proactively offer compensation. Using data recorded by program staff members and from surveys of involved clinicians, we examined case outcomes of a program used by two academic medical centers and two of their community hospitals in Massachusetts in the period 2013-15. The hospitals demonstrated good adherence to the program protocol. Ninety-one percent of the program events did not meet compensation eligibility criteria, and those events that did were not costly to resolve (the median payment was $75,000). Only 5 percent of events led to malpractice claims or lawsuits. Clinicians were supportive of the program but desired better communication about it from staff members. Our findings suggest that communication-and-resolution programs will not lead to higher liability costs when hospitals adhere to their commitment to offer compensation proactively. Project HOPE—The People-to-People Health Foundation, Inc.

  6. Optimal operating rules definition in complex water resource systems combining fuzzy logic, expert criteria and stochastic programming

    Science.gov (United States)

    Macian-Sorribes, Hector; Pulido-Velazquez, Manuel

    2016-04-01

    This contribution presents a methodology for defining optimal seasonal operating rules in multireservoir systems coupling expert criteria and stochastic optimization. Both sources of information are combined using fuzzy logic. The structure of the operating rules is defined based on expert criteria, via a joint expert-technician framework consisting in a series of meetings, workshops and surveys carried out between reservoir managers and modelers. As a result, the decision-making process used by managers can be assessed and expressed using fuzzy logic: fuzzy rule-based systems are employed to represent the operating rules and fuzzy regression procedures are used for forecasting future inflows. Once done that, a stochastic optimization algorithm can be used to define optimal decisions and transform them into fuzzy rules. Finally, the optimal fuzzy rules and the inflow prediction scheme are combined into a Decision Support System for making seasonal forecasts and simulate the effect of different alternatives in response to the initial system state and the foreseen inflows. The approach presented has been applied to the Jucar River Basin (Spain). Reservoir managers explained how the system is operated, taking into account the reservoirs' states at the beginning of the irrigation season and the inflows previewed during that season. According to the information given by them, the Jucar River Basin operating policies were expressed via two fuzzy rule-based (FRB) systems that estimate the amount of water to be allocated to the users and how the reservoir storages should be balanced to guarantee those deliveries. A stochastic optimization model using Stochastic Dual Dynamic Programming (SDDP) was developed to define optimal decisions, which are transformed into optimal operating rules embedding them into the two FRBs previously created. As a benchmark, historical records are used to develop alternative operating rules. A fuzzy linear regression procedure was employed to

  7. A Genetic-Algorithms-Based Approach for Programming Linear and Quadratic Optimization Problems with Uncertainty

    Directory of Open Access Journals (Sweden)

    Weihua Jin

    2013-01-01

    Full Text Available This paper proposes a genetic-algorithms-based approach as an all-purpose problem-solving method for operation programming problems under uncertainty. The proposed method was applied for management of a municipal solid waste treatment system. Compared to the traditional interactive binary analysis, this approach has fewer limitations and is able to reduce the complexity in solving the inexact linear programming problems and inexact quadratic programming problems. The implementation of this approach was performed using the Genetic Algorithm Solver of MATLAB (trademark of MathWorks. The paper explains the genetic-algorithms-based method and presents details on the computation procedures for each type of inexact operation programming problems. A comparison of the results generated by the proposed method based on genetic algorithms with those produced by the traditional interactive binary analysis method is also presented.

  8. Optimization of approximate decision rules relative to number of misclassifications: Comparison of greedy and dynamic programming approaches

    KAUST Repository

    Amin, Talha

    2013-01-01

    In the paper, we present a comparison of dynamic programming and greedy approaches for construction and optimization of approximate decision rules relative to the number of misclassifications. We use an uncertainty measure that is a difference between the number of rows in a decision table T and the number of rows with the most common decision for T. For a nonnegative real number γ, we consider γ-decision rules that localize rows in subtables of T with uncertainty at most γ. Experimental results with decision tables from the UCI Machine Learning Repository are also presented. © 2013 Springer-Verlag.

  9. Youth Governance: How and Why It Can Help Out-of-School Time Programs Involve At-Risk Youth. Research-to-Results Brief. Publication #2008-24

    Science.gov (United States)

    Bowie, Lillian; Bronte-Tinkew, Jacinta

    2008-01-01

    Out-of-school time programs provide intervention and prevention services to young people who are deemed "at-risk" with the goal of improving their social, emotional, and academic development. However, research indicates that children and youth who are most "at-risk" are less likely to participate in out-of-school time programs, and do so less…

  10. Heat Exchanger Ranking Program Using Genetic Algorithm and ε-NTU Method for Optimal Design

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Soon Ho; Kim, Minsung; Ha, Man Yeong; Park, Sang-Hu; Min, June Kee [Pusan National University, Busan (Korea, Republic of)

    2014-11-15

    Today, computational fluid dynamics (CFD) is widely used in industry because of the availability of high performance computers. However, full-scale analysis poses problems owing to the limited resources and time. In this study, the performance and optimal size of a heat exchanger were calculated using the effectiveness-number of transfer units (ε-NTU) method and a database of characteristics heat exchanger. Information about the geometry and performance of various heat exchangers is collected, and the performance of the heat exchanger is calculated under the given operating conditions. To determine the optimal size of the heat exchanger, a Genetic Algorithm (GA) is used, and MATLAB and REFPROP are used for the calculation.

  11. Acute cognitive dysfunction after hip fracture: frequency and risk factors in an optimized, multimodal, rehabilitation program

    DEFF Research Database (Denmark)

    Bitsch, Martin; Foss, Nicolai Bang; Kristensen, Billy Bjarne

    2006-01-01

    BACKGROUND: Patients undergoing hip fracture surgery often experience acute post-operative cognitive dysfunction (APOCD). The pathogenesis of APOCD is probably multifactorial, and no single intervention has been successful in its prevention. No studies have investigated the incidence of APOCD after...... hip fracture surgery in an optimized, multimodal, peri-operative rehabilitation regimen. METHODS: One hundred unselected hip fracture patients treated in a well-defined, optimized, multimodal, peri-operative rehabilitation regimen were included. Patients were tested upon admission and on the second......, fourth and seventh post-operative days with the Mini Mental State Examination (MMSE) score. RESULTS: Thirty-two per cent of patients developed a significant post-operative cognitive decline, which was associated with several pre-fracture patient characteristics, including age and cognitive function...

  12. Optimal Capital Structure in Depository Financial Institutions - A Dynamic Programming Approach

    OpenAIRE

    Sandbu, Andreas Davies; Braathen, Christian; Solbakk, Fredrik

    2015-01-01

    We formulate a stochastic optimal control problem for the capital structure of depository financial institutions (DFIs), where the market value of equity is maximized in a dividend discount framework. The key objective is to study capital structure behavior of DFIs under uncertain market conditions when governmental capital regulations are imposed, in particular minimum requirements for the Core Tier 1 capital ratio given by the Basel III directive. We solve the problem by two distinct approa...

  13. Optimality Conditions in Vector Optimization

    CERN Document Server

    Jiménez, Manuel Arana; Lizana, Antonio Rufián

    2011-01-01

    Vector optimization is continuously needed in several science fields, particularly in economy, business, engineering, physics and mathematics. The evolution of these fields depends, in part, on the improvements in vector optimization in mathematical programming. The aim of this Ebook is to present the latest developments in vector optimization. The contributions have been written by some of the most eminent researchers in this field of mathematical programming. The Ebook is considered essential for researchers and students in this field.

  14. Helping Hand: The Salin Kaalaman Tungo sa Kaunlaran Extension Program of Polytechnic University of the Philippines Among the Beneficiaries of the Pilot Centers in Sta. Mesa, Manila, Philippines

    Directory of Open Access Journals (Sweden)

    Junnette B. Hasco

    2016-11-01

    Full Text Available One of the four-fold functions of State Universities and Colleges in accordance by their mandates was to provide assistance to communities; this was achieved thru conducting different skills and development trainings in partnership with Local Government Units (LGU’s. This study was conducted to assess the current Extension program of the Polytechnic University of the Philippines (PUP. Some 74 beneficiaries from the 23 centers of Sta. Mesa, Manila were identified through the use of purposive sampling. The data gathering made use of aided surveys. Weighted Mean and Pearson Product Moment of Correlation was used to treat and process statistical data. Findings revealed that the Extension Services conducted by the PUP Salin Kaalaman Tungo sa Kaunlaran Extension Program (SALIN were highly effective regarding Information Dissemination, Staff and Officials, Trainings and Programs, Trainers and Speakers, Programs, Accommodation and Venue and the personal impact of the Extension Program to the Beneficiaries. Satisfaction rating on the extension program was also high. Further, this study found out that as respondents are satisfied with the implementation of SALIN, the greater the chance of positive assessment on the effectiveness of the project. The study also disclosed problems and recommendations identified by the respondents. In addressing the research gaps, this study further identified recommendations to enhance capabilities of program implementers such as better execution in the delivery of extension services, fund sourcing and forging linkages or networking.

  15. Football Fans in Training: the development and optimization of an intervention delivered through professional sports clubs to help men lose weight, become more active and adopt healthier eating habits

    Science.gov (United States)

    2013-01-01

    Background The prevalence of obesity in men is rising, but they are less likely than women to engage in existing weight management programmes. The potential of professional sports club settings to engage men in health promotion activities is being increasingly recognised. This paper describes the development and optimization of the Football Fans in Training (FFIT) programme, which aims to help overweight men (many of them football supporters) lose weight through becoming more active and adopting healthier eating habits. Methods The MRC Framework for the design and evaluation of complex interventions was used to guide programme development in two phases. In Phase 1, a multidisciplinary working group developed the pilot programme (p-FFIT) and used a scoping review to summarize previous research and identify the target population. Phase 2 involved a process evaluation of p-FFIT in 11 Scottish Premier League (SPL) clubs. Participant and coach feedback, focus group discussions and interviews explored the utility/acceptability of programme components and suggestions for changes. Programme session observations identified examples of good practice and problems/issues with delivery. Together, these findings informed redevelopment of the optimized programme (FFIT), whose components were mapped onto specific behaviour change techniques using an evidence-based taxonomy. Results p-FFIT comprised 12, weekly, gender-sensitised, group-based weight management classroom and ‘pitch-side’ physical activity sessions. These in-stadia sessions were complemented by an incremental, pedometer-based walking programme. p-FFIT was targeted at men aged 35-65 years with body mass index ≥ 27 kg/m2. Phase 2 demonstrated that participants in p-FFIT were enthusiastic about both the classroom and physical activity components, and valued the camaraderie and peer-support offered by the programme. Coaches appreciated the simplicity of the key healthy eating and physical activity messages

  16. Football Fans in Training: the development and optimization of an intervention delivered through professional sports clubs to help men lose weight, become more active and adopt healthier eating habits.

    Science.gov (United States)

    Gray, Cindy M; Hunt, Kate; Mutrie, Nanette; Anderson, Annie S; Leishman, Jim; Dalgarno, Lindsay; Wyke, Sally

    2013-03-16

    The prevalence of obesity in men is rising, but they are less likely than women to engage in existing weight management programmes. The potential of professional sports club settings to engage men in health promotion activities is being increasingly recognised. This paper describes the development and optimization of the Football Fans in Training (FFIT) programme, which aims to help overweight men (many of them football supporters) lose weight through becoming more active and adopting healthier eating habits. The MRC Framework for the design and evaluation of complex interventions was used to guide programme development in two phases. In Phase 1, a multidisciplinary working group developed the pilot programme (p-FFIT) and used a scoping review to summarize previous research and identify the target population. Phase 2 involved a process evaluation of p-FFIT in 11 Scottish Premier League (SPL) clubs. Participant and coach feedback, focus group discussions and interviews explored the utility/acceptability of programme components and suggestions for changes. Programme session observations identified examples of good practice and problems/issues with delivery. Together, these findings informed redevelopment of the optimized programme (FFIT), whose components were mapped onto specific behaviour change techniques using an evidence-based taxonomy. p-FFIT comprised 12, weekly, gender-sensitised, group-based weight management classroom and 'pitch-side' physical activity sessions. These in-stadia sessions were complemented by an incremental, pedometer-based walking programme. p-FFIT was targeted at men aged 35-65 years with body mass index ≥ 27 kg/m(2). Phase 2 demonstrated that participants in p-FFIT were enthusiastic about both the classroom and physical activity components, and valued the camaraderie and peer-support offered by the programme. Coaches appreciated the simplicity of the key healthy eating and physical activity messages. Suggestions for improvements that

  17. Multimodal guided self-help exercise program to prevent speech, swallowing, and shoulder problems among head and neck cancer patients: a feasibility study.

    NARCIS (Netherlands)

    Cnossen, I.C.; van Uden-Kraan, C.F.; Rinkel, R.N.; Aalders, I.J.; de Goede, C.J.T.; de Bree, R.; Doornaert, P.; Rietveld, D.H.F.; Langendijk, J.A.; Witte, B.I.; Leemans, C.R.; de Leeuw, I.M.

    2014-01-01

    Background: During a 6-week course of (chemo)radiation many head and neck cancer patients have to endure radiotherapy-induced toxicity, negatively affecting patients' quality of life. Pretreatment counseling combined with self-help exercises could be provided to inform patients and possibly prevent

  18. Multimodal Guided Self-Help Exercise Program to Prevent Speech, Swallowing, and Shoulder Problems Among Head and Neck Cancer Patients : A Feasibility Study

    NARCIS (Netherlands)

    Cnossen, Ingrid C.; van Uden-Kraan, Cornelia F.; Rinkel, Rico N. P. M.; Aalders, IJke J.; de Goede, Cees J. T.; de Bree, Remco; Doornaert, Patricia; Rietveld, Derek H. F.; Langendijk, Johannes A.; Witte, Birgit I.; Leemans, C. Rene; Verdonck-de Leeuw, Irma M.

    Background: During a 6-week course of (chemo) radiation many head and neck cancer patients have to endure radiotherapy-induced toxicity, negatively affecting patients' quality of life. Pretreatment counseling combined with self-help exercises could be provided to inform patients and possibly prevent

  19. The Role of Food Assistance Programs and Employment Circumstances in Helping Households with Children Avoid Hunger. Discussion Paper No. 1280-04

    Science.gov (United States)

    Kabbani, Nader S.; Yazbeck, Myra

    2004-01-01

    Households with children in the United States are more likely to experience food insecurity than households with no children. However, households with children are less likely to experience hunger. This finding suggests that food insecure households with children may be drawing on personal and/or public resources to help them avoid hunger. In this…

  20. Solid dispersions in the development of a nimodipine floating tablet formulation and optimization by artificial neural networks and genetic programming.

    Science.gov (United States)

    Barmpalexis, Panagiotis; Kachrimanis, Kyriakos; Georgarakis, Emanouil

    2011-01-01

    The present study investigates the use of nimodipine-polyethylene glycol solid dispersions for the development of effervescent controlled release floating tablet formulations. The physical state of the dispersed nimodipine in the polymer matrix was characterized by differential scanning calorimetry, powder X-ray diffraction, FT-IR spectroscopy and polarized light microscopy, and the mixture proportions of polyethylene glycol (PEG), polyvinyl-pyrrolidone (PVP), hydroxypropylmethylcellulose (HPMC), effervescent agents (EFF) and nimodipine were optimized in relation to drug release (% release at 60 min, and time at which the 90% of the drug was dissolved) and floating properties (tablet's floating strength and duration), employing a 25-run D-optimal mixture design combined with artificial neural networks (ANNs) and genetic programming (GP). It was found that nimodipine exists as mod I microcrystals in the solid dispersions and is stable for at least a three-month period. The tablets showed good floating properties and controlled release profiles, with drug release proceeding via the concomitant operation of swelling and erosion of the polymer matrix. ANNs and GP both proved to be efficient tools in the optimization of the tablet formulation, and the global optimum formulation suggested by the GP equations consisted of PEG=9%, PVP=30%, HPMC=36%, EFF=11%, nimodipine=14%. Copyright © 2010 Elsevier B.V. All rights reserved.