Natural Gas Multi-Year Program Plan

Energy Technology Data Exchange (ETDEWEB)

NONE

1997-12-01

This document comprises the Department of Energy (DOE) Natural Gas Multi-Year Program Plan, and is a follow-up to the `Natural Gas Strategic Plan and Program Crosscut Plans,` dated July 1995. DOE`s natural gas programs are aimed at simultaneously meeting our national energy needs, reducing oil imports, protecting our environment, and improving our economy. The Natural Gas Multi-Year Program Plan represents a Department-wide effort on expanded development and use of natural gas and defines Federal government and US industry roles in partnering to accomplish defined strategic goals. The four overarching goals of the Natural Gas Program are to: (1) foster development of advanced natural gas technologies, (2) encourage adoption of advanced natural gas technologies in new and existing markets, (3) support removal of policy impediments to natural gas use in new and existing markets, and (4) foster technologies and policies to maximize environmental benefits of natural gas use.

Influence of an Academic Intervention Program on Minority Student Career Choice

Science.gov (United States)

Sweeney, Jennifer K.; Villarejo, Merna

2013-01-01

This qualitative, retrospective study explored how educational experiences provided as part of an undergraduate intervention program helped to shape career decisions for minority biology students. A key goal for the program is to increase minority entry into science research and teaching careers, yet actual career choice has not been studied.…

Fuzzy Multi-objective Linear Programming Approach

Directory of Open Access Journals (Sweden)

Amna Rehmat

2007-07-01

Full Text Available Traveling salesman problem (TSP is one of the challenging real-life problems, attracting researchers of many fields including Artificial Intelligence, Operations Research, and Algorithm Design and Analysis. The problem has been well studied till now under different headings and has been solved with different approaches including genetic algorithms and linear programming. Conventional linear programming is designed to deal with crisp parameters, but information about real life systems is often available in the form of vague descriptions. Fuzzy methods are designed to handle vague terms, and are most suited to finding optimal solutions to problems with vague parameters. Fuzzy multi-objective linear programming, an amalgamation of fuzzy logic and multi-objective linear programming, deals with flexible aspiration levels or goals and fuzzy constraints with acceptable deviations. In this paper, a methodology, for solving a TSP with imprecise parameters, is deployed using fuzzy multi-objective linear programming. An example of TSP with multiple objectives and vague parameters is discussed.

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.

Safety Goal, Multi-unit Risk and PSA Uncertainty

Energy Technology Data Exchange (ETDEWEB)

Yang, Joon-Eon [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

2015-10-15

The safety goal is an answer of each country to the question 'How safe is safe enough?'. Table 1 shows some examples of the safety goal. However, many countries including Korea do not have the official safety goal for NPPs up to now since the establishment of safety goal is not just a technical issue but a very complex socio-technical issue. In establishing the safety goal for nuclear facilities, we have to consider various factors including not only technical aspects but also social, cultural ones. Recently, Korea is trying to establish the official safety goal. In this paper, we will review the relationship between the safety goal and Probabilistic Safety Assessment (PSA). We will also address some important technical issues to be considered in establishing the safety goal for NPPs from PSA point of view, i.e. a multi-unit risk issue and the uncertainty of PSA. In this paper, we reviewed some issues related to the safety goal and PSA. We believe that the safety goal is to be established in Korea considering the multi-unit risk. In addition, the relationship between the safety goal and PSA should be also defined clearly since PSA is the only way to answer to the question 'How safe is safe enough?'.

Veterans Choice Program

Data.gov (United States)

Department of Veterans Affairs — If you are already enrolled in VA health care, the Choice Program allows you to receive health care within your community. Using this program does NOT impact your...

Summary of multi-core hardware and programming model investigations

Energy Technology Data Exchange (ETDEWEB)

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

2008-05-01

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

ParaChoice Model.

Energy Technology Data Exchange (ETDEWEB)

Heimer, Brandon Walter [Sandia National Lab. (SNL-CA), Livermore, CA (United States); Levinson, Rebecca Sobel [Sandia National Lab. (SNL-CA), Livermore, CA (United States); West, Todd H. [Sandia National Lab. (SNL-CA), Livermore, CA (United States)

2017-12-01

Analysis with the ParaChoice model addresses three barriers from the VTO Multi-Year Program Plan: availability of alternative fuels and electric charging station infrastructure, availability of AFVs and electric drive vehicles, and consumer reluctance to purchase new technologies. In this fiscal year, we first examined the relationship between the availability of alternative fuels and station infrastructure. Specifically, we studied how electric vehicle charging infrastructure affects the ability of EVs to compete with vehicles that rely on mature, conventional petroleum-based fuels. Second, we studied how the availability of less costly AFVs promotes their representation in the LDV fleet. Third, we used ParaChoice trade space analyses to help inform which consumers are reluctant to purchase new technologies. Last, we began analysis of impacts of alternative energy technologies on Class 8 trucks to isolate those that may most efficaciously advance HDV efficiency and petroleum use reduction goals.

Multi-Year Program Plan 2011-2015

Energy Technology Data Exchange (ETDEWEB)

none,

2010-12-01

The Vehicle Technologies Multi-Year Program Plan, FY 2011 – 2015, outlines the scientific research and technologies developments for the five-year timeframe (beyond the FY 2010 base year) that need to be undertaken to help meet the Administration's goals for reductions in oil consumption and carbon emissions from the ground transport vehicle sector of the economy.

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...

Developing a goal programming model for ideal/mutual house price

Science.gov (United States)

Saiddin, Nor Syuhadah; Zaibidi, Nerda Zura; Sulaiman, Nor Intan Saniah

2015-12-01

One cannot deny the importance of a house as a living need. Unfortunately, the unreasonable house price makes it approximately impossible to be owned, mostly for middle income group. Nowadays, the middle income house buyers have two alternatives, whether to buy it from a private developer or through PR1MA and My First Home scheme, since both parties have their own advantages. Goal programming has been employed to resolve the multi objective problem among parties. Due to the complex decision making in house price determination between the parties, this study purposely modeled the problem using interval goal programming approach. Goal programming and interval goal programming can be differ based on their goal (i.e. the aspire level) which is in the form of interval. This study employed primary data and secondary data, which primary data is acquired from semi-structured interview with private developer, while secondary data is the data obtained from literature review. Initial result shows the satisfactory house price over preferences and needs of the decision makers, which are RM454, 050.00 for the private developer, RM322, 880.00 for the government and range of RM2380.95 to RM245, 100.00 for the house buyer. This suggests the house price range that is satisfied by all parties which is about RM238, 000.95 to RM460, 000.00.The satisfaction might occurred when they are all cooperating, which the way could enlighten the impact of collaboration between the parties. This could be the limitations for this study.

When pain meets … pain-related choice behavior and pain perception in different goal conflict situations.

Science.gov (United States)

Schrooten, Martien G S; Wiech, Katja; Vlaeyen, Johan W S

2014-11-01

Individuals in pain often face the choice between avoiding pain and pursuing other equally valued goals. However, little is known about pain-related choice behavior and pain perception in goal conflict situations. Seventy-eight healthy volunteers performed a computerized task requiring repeated choices between incompatible options, differing in their effect on probability to receive painful stimulation and money. Depending on group assignment, participants chose between increased pain probability versus decreased money probability (avoidance-avoidance conflict situation); decreased pain probability versus increased money probability (approach-approach conflict situation); or decrease versus increase in both probabilities (double approach/avoidance conflict situation). During the choice task, participants rated painfulness, unpleasantness, threat, and fearfulness associated with the painful stimulation and how they felt. Longer choice latency and more choice switching were associated with higher retrospective ratings of conflict and of decision difficulty, and more equal importance placed on pain avoidance and earning money. Groups did not differ in choice behavior, pain stimulus ratings, or affect. Across groups, longer choice latencies were nonsignificantly associated with higher pain, unpleasantness, threat, and fearfulness. In the avoidance-avoidance group, more choice switching was associated with higher pain-related threat and fearfulness, and with more negative affect. These results of this study suggest that associations between choice behaviors, pain perception, and affect depend on conflict situation. We present a first experimental demonstration of the relationship between pain-related choice behaviors, pain, and affect in different goal conflict situations. This experimental approach allows us to examine these relationships in a controlled fashion. Better understanding of pain-related goal conflicts and their resolution may lead to more effective pain

Fermilab advanced computer program multi-microprocessor project

International Nuclear Information System (INIS)

Nash, T.; Areti, H.; Biel, J.

1985-06-01

Fermilab's Advanced Computer Program is constructing a powerful 128 node multi-microprocessor system for data analysis in high-energy physics. The system will use commercial 32-bit microprocessors programmed in Fortran-77. Extensive software supports easy migration of user applications from a uniprocessor environment to the multiprocessor and provides sophisticated program development, debugging, and error handling and recovery tools. This system is designed to be readily copied, providing computing cost effectiveness of below $2200 per VAX 11/780 equivalent. The low cost, commercial availability, compatibility with off-line analysis programs, and high data bandwidths (up to 160 MByte/sec) make the system an ideal choice for applications to on-line triggers as well as an offline data processor

Swiss residents' speciality choices – impact of gender, personality traits, career motivation and life goals

Directory of Open Access Journals (Sweden)

Abel Thomas

2006-10-01

Full Text Available Abstract Background The medical specialities chosen by doctors for their careers play an important part in the development of health-care services. This study aimed to investigate the influence of gender, personality traits, career motivation and life goal aspirations on the choice of medical speciality. Methods As part of a prospective cohort study of Swiss medical school graduates on career development, 522 fourth-year residents were asked in what speciality they wanted to qualify. They also assessed their career motivation and life goal aspirations. Data concerning personality traits such as sense of coherence, self-esteem, and gender role orientation were collected at the first assessment, four years earlier, in their final year of medical school. Data analyses were conducted by univariate and multivariate analyses of variance and covariance. Results In their fourth year of residency 439 (84.1% participants had made their speciality choice. Of these, 45 (8.6% subjects aspired to primary care, 126 (24.1% to internal medicine, 68 (13.0% to surgical specialities, 31 (5.9% to gynaecology & obstetrics (G&O, 40 (7.7% to anaesthesiology/intensive care, 44 (8.4% to paediatrics, 25 (4.8% to psychiatry and 60 (11.5% to other specialities. Female residents tended to choose G&O, paediatrics, and anaesthesiology, males more often surgical specialities; the other specialities did not show gender-relevant differences of frequency distribution. Gender had the strongest significant influence on speciality choice, followed by career motivation, personality traits, and life goals. Multivariate analyses of covariance indicated that career motivation and life goals mediated the influence of personality on career choice. Personality traits were no longer significant after controlling for career motivation and life goals as covariates. The effect of gender remained significant after controlling for personality traits, career motivation and life goals. Conclusion

Grading School Choice: Evaluating School Choice Programs by the Friedman Gold Standard. School Choice Issues in Depth

Science.gov (United States)

Enlow, Robert C.

2008-01-01

In 2004, The Friedman Foundation for Educational Choice published a report titled "Grading Vouchers: Ranking America's School Choice Programs." Its purpose was to measure every existing school choice program against the gold standard set by Milton and Rose Friedman: that the most effective way to improve K-12 education and thus ensure a stable…

A linear goal programming model for urban energy-economy-environment interaction

Energy Technology Data Exchange (ETDEWEB)

Kambo, N.S.; Handa, B.R. (Indian Inst. of Tech., New Delhi (India). Dept. of Mathematics); Bose, R.K. (Tata Energy Research Inst., New Delhi (India))

1991-01-01

This paper provides a comprehensive and systematic analysis of energy and pollution problems interconnected with the economic structure, by using a multi-objective sectoral end-use model for addressing regional energy policy issues. The multi-objective model proposed for the study is a 'linear goal programming (LGP)' technique of analysing a 'reference energy system (RES)' in a framework within which alternative policies and technical strategies may be evaluated. The model so developed has further been tested for the city of Delhi (India) for the period 1985 - 86, and a scenario analysis has been carried out by assuming different policy options. (orig./BWJ).

Practical goal programming

CERN Document Server

Jones, Dylan

2010-01-01

This book and its treatment of goal programming will help organizations meet targets and objectives. The book includes many worked-out examples and tutorial exercises, and is designed to demostrate and teach its readers good modeling practice.

"New Choices" for women with addictions: perceptions of program participants

Directory of Open Access Journals (Sweden)

Fan Aimei

2004-04-01

Full Text Available Abstract Background Substance use in pregnancy is a major public health problem. It can have profound effects on pregnancy outcomes, and childhood health and development. Additionally, women who use substances have their own health-related issues. Although intervention is important, these women often have difficulty using traditional systems of care. The New Choices program is a centralized, multi-sector approach to service delivery that has attempted to overcome barriers to care by offering one-stop shopping in a supportive environment. As part of an evaluation of this program designed for women who are pregnant and/or parenting young children, interviews were conducted with participants to gain insight into their experiences in New Choices and perceptions of any changes attributed to program involvement. Methods A qualitative, exploratory design was used to guide data collection and analysis. Four women participated in a focus group interview and seven women agreed to individual interviews over the course of the program evaluation (N = 11. A semi-structured interview guide was used to explore women's experiences in New Choices and their perceptions of the program and its impact. The interview data were analyzed using NVivo software and an inductive approach to data analysis. Results The emergent themes captured women's motivations for attending New Choices, benefits of participation, and overall quality of the program. Children were the primary motivating factor for program enrollment. Perceived benefits included decreased substance use, improved maternal health, enhanced opportunity for employment, increased access to other resources, enhanced parenting skills, and improved child behaviour and development. Women highly valued the comprehensive and centralized approach to service delivery that provided a range of informal and formal supports. Conclusions Interview findings endorse the appropriateness and potential efficacy of a collaborative

Bioenergy Technologies Office Multi-Year Program Plan: November 2014 Update

Energy Technology Data Exchange (ETDEWEB)

None

2014-11-01

This is the November 2014 Update to the Multi-Year Program Plan, which sets forth the goals and structure of the Bioenergy Technologies Office. It identifies the RDD&D activities the Office will focus on over the next four years.

Bioenergy Technologies Office Multi-Year Program Plan: March 2015 Update

Energy Technology Data Exchange (ETDEWEB)

none,

2015-03-01

This is the March 2015 Update to the Multi-Year Program Plan, which sets forth the goals and structure of the Bioenergy Technologies Office. It identifies the RDD&D activities the Office will focus on over the next four years.

Framing effects in medical situations: distinctions of attribute, goal and risky choice frames.

Science.gov (United States)

Peng, Jiaxi; Jiang, Yuan; Miao, Danmin; Li, Rui; Xiao, Wei

2013-06-01

To verify whether three different framing effects (risky choice, attribute and goal) exist in simulated medical situations and to analyse any differences. Medical decision-making problems were established, relating to medical skill evaluation, patient compliance and a selection of treatment options. All problems were described in positive and negative frame conditions. Significantly more positive evaluations were made if the doctor's medical records were described as 'of 100 patients, 70 patients became better' compared with those described as 'of 100 patients, 30 patients didn't become better'. Doctor's advice described in a negative frame resulted in significantly more decisions to comply, compared with advice described in a positive frame. Treatment options described in terms of survival rates resulted in significantly more adventurous choices compared with options described in terms of mortality rates. Decision-making reversal appeared in the risky choice and attribute frames, but not the goal frame. Framing effects were shown to exist in simulated medical situations, but there were significant differences among the three kinds of such effects.

Proposing an Aggregate Production Planning Model by Goal Programming Approach, a Case Study

Directory of Open Access Journals (Sweden)

Mansoureh Farzam Rad

2014-06-01

Full Text Available Production planning is one of the most important functions in the process of production management. Production planning in the intermediate range of time is termed as aggregate production planning (APP. Aggregate production planning is an important upper level planning activity in a production management system. The present study tries to suggest an aggregate production planning model for products of Hafez tile factory during one year. Due to this fact that the director of the company seeks 3 main objectives to determine the optimal production rate, the linear goal planning method was employed. After solving the problem, in order to examine the efficiency and the distinctiveness of this method in compare to linear programming, the problem was modeled just by considering one objective then was solved by linear programming approach. The findings revealed the goal programming with multi objectives resulted more appropriate solution rather than linear programming with just one objective.

FGP Approach for Solving Multi-level Multi-objective Quadratic Fractional Programming Problem with Fuzzy parameters

Directory of Open Access Journals (Sweden)

m. s. osman

2017-09-01

Full Text Available In this paper, we consider fuzzy goal programming (FGP approach for solving multi-level multi-objective quadratic fractional programming (ML-MOQFP problem with fuzzy parameters in the constraints. Firstly, the concept of the ?-cut approach is applied to transform the set of fuzzy constraints into a common deterministic one. Then, the quadratic fractional objective functions in each level are transformed into quadratic objective functions based on a proposed transformation. Secondly, the FGP approach is utilized to obtain a compromise solution for the ML-MOQFP problem by minimizing the sum of the negative deviational variables. Finally, an illustrative numerical example is given to demonstrate the applicability and performance of the proposed approach.

Power theories for multi-choice organizations and political rules: Rank-order equivalence

Directory of Open Access Journals (Sweden)

Roland Pongou

2014-03-01

Full Text Available Voting power theories measure the ability of voters to influence the outcome of an election under a given voting rule. In general, each theory gives a different evaluation of power, raising the question of their appropriateness, and calling for the need to identify classes of rules for which different theories agree. We study the ordinal equivalence of the generalizations of the classical power concepts–the influence relation, the Banzhaf power index, and the Shapley–Shubik power index–to multi-choice organizations and political rules. Under such rules, each voter chooses a level of support for a social goal from a finite list of options, and these individual choices are aggregated to determine the collective level of support for this goal. We show that the power theories analyzed do not always yield the same power relationships among voters. Thanks to necessary and/or sufficient conditions, we identify a large class of rules for which ordinal equivalence obtains. Furthermore, we prove that ordinal equivalence obtains for all linear rules allowing a fixed number of individual approval levels if and only if that number does not exceed three. Our findings generalize all the previous results on the ordinal equivalence of the classical power theories, and show that the condition of linearity found to be necessary and sufficient for ordinal equivalence to obtain when voters have at most three options to choose from is no longer sufficient when they can choose from a list of four or more options.

Solid Waste Program Fiscal Year 1996 Multi-Year Program Plan WBS 1.2.1, Revision 1

International Nuclear Information System (INIS)

1995-09-01

This document contains the Fiscal Year 1996 Multi-Year Program Plan for the Solid Waste Program at the Hanford Reservation in Richland, Washington. The Solid Waste Program treats, stores, and disposes of a wide variety of solid wastes consisting of radioactive, nonradioactive and hazardous material types. Solid waste types are typically classified as transuranic waste, low-level radioactive waste, low-level mixed waste, and non-radioactive hazardous waste. This report describes the mission, goals and program strategies for the Solid Waste Program for fiscal year 1996 and beyond

Solid Waste Program Fiscal Year 1996 Multi-Year Program Plan WBS 1.2.1, Revision 1

Energy Technology Data Exchange (ETDEWEB)

NONE

1995-09-01

This document contains the Fiscal Year 1996 Multi-Year Program Plan for the Solid Waste Program at the Hanford Reservation in Richland, Washington. The Solid Waste Program treats, stores, and disposes of a wide variety of solid wastes consisting of radioactive, nonradioactive and hazardous material types. Solid waste types are typically classified as transuranic waste, low-level radioactive waste, low-level mixed waste, and non-radioactive hazardous waste. This report describes the mission, goals and program strategies for the Solid Waste Program for fiscal year 1996 and beyond.

Optimasi Perencanaan Jumlah Base Transceiver Station (BTS dan Kapasitas Trafik BTS Menggunakan Pendekatan Goal Programming pada Sistem Telekomunikasi Seluler Berbasis GSM

Directory of Open Access Journals (Sweden)

M. Fajrul Hakim

2012-09-01

Full Text Available Jumlah pengguna telepon seluler GSM telah mencapai 229.4 juta pada tahun 2011. Hal ini menyebabkan operator seluler GSM harus bisa memenuhi kebutuhan trafik pengguna. Pemenuhan kebutuhan jaringan dilakukan dengan membangun infrastruktur jaringan, salah satunya adalah BTS. BTS biasanya dibangun untuk dapat menampung trafik pengguna selama beberapa tahun ke depan. Perencanaan pembangunan BTS diusahakan membutuhkan seminimal mungkin perangkat keras jaringan tetapi dapat memenuhi semaksimal mungkin kapasitas trafik yang ada. Untuk melaksanakan perencanaan tersebut dibutuhkan optimasi jumlah dan trafik BTS dalam satu wilayah. Optimasi tersebut mencakup dua fungsi tujuan. Salah satu metode optimasi yang mampu menangani kasus multi tujuan adalah metode goal programming. Tugas akhir ini bertujuan untuk menentukan kapasitas trafik yang bisa menampung semua permintaan trafik dari pengguna telepon seluler dan menentukan kapasitas total trafik BTS yang tidak melebihi total kapasitas yang dimiliki masing-masing BTS. Dalam pengerjaan tugas akhir ini, permintaan trafik diramalkan selama 10 tahun mendatang. Hasil peramalan digunakan sebagai batasan dari fungsi tujuan. Kemudian model optimasi dibuat dalam bentuk program linear, lalu diubah sesuai metode goal programming. Model yang terbentuk diselesaikan menggunakan program komputer. Dari hasil penelitian dan perhitungan diperoleh bahwa metode goal programming dapat dijadikan sebagai metode untuk menyelesaikan multi tujuan.

Bioenergy Technologies Office Multi-Year Program Plan: July 2014

Energy Technology Data Exchange (ETDEWEB)

none,

2014-07-09

This is the May 2014 Update to the Bioenergy Technologies Office Multi-Year Program Plan, which sets forth the goals and structure of the Office. It identifies the research, development, demonstration, and deployment activities the Office will focus on over the next five years and outlines why these activities are important to meeting the energy and sustainability challenges facing the nation.

Fuzzy Multi Objective Linear Programming Problem with Imprecise Aspiration Level and Parameters

Directory of Open Access Journals (Sweden)

Zahra Shahraki

2015-07-01

Full Text Available This paper considers the multi-objective linear programming problems with fuzzygoal for each of the objective functions and constraints. Most existing works deal withlinear membership functions for fuzzy goals. In this paper, exponential membershipfunction is used.

Maternal Feeding Goals and Restaurant Menu Choices for Young Children.

Science.gov (United States)

Domoff, Sarah E; Kiefner-Burmeister, Allison; Hoffmann, Debra A; Musher-Eizenman, Dara

2015-08-01

Childhood obesity remains a major public health issue. One recent effort to improve the obesogenic environment is mandating that restaurants provide calorie and other nutritional content on menus. Little is known about whether maternal feeding for young children is influenced by calorie disclosure on menus. This study examined (1) whether maternal feeding goals associate with mothers' food selections for their young children and (2) whether mothers change entrée and side selections for their children when calories/fat grams are listed on menus. One-hundred seventy mothers of children ages of 3-6 years participated in an online survey. Most participants identified as white (76.5%), with a mean BMI of 25.68 (standard deviation=5.94). Mothers were presented two menus (one with and one without calorie/fat information). The goal of feeding for the child's familiarity with the food was significantly associated with mothers' selection of original side dish and entrées, with greater endorsement of this goal associated with choosing high-calorie/-fat sides and entrées. Feeding for natural content was associated with mothers' selection of original entrée, with greater endorsement of this goal associated with choosing low-calorie/-fat entrées. Significantly fewer mothers chose a higher-calorie entrée when there was menu labeling. Maternal feeding goals are associated with mothers' selection of entrée and side dishes on restaurant menus. Results from this study suggest that menu labeling of calories and fat grams may influence entrée choices by mothers. Targeting mothers' feeding goals and labeling restaurant menus may improve the diets of young children.

Program Aplikasi Optimalisasi Perencanaan Produksi Dengan Metode Goal Programming (Kasus Cv. G

Directory of Open Access Journals (Sweden)

Zahedi Zahedi

2010-06-01

Full Text Available Indonesia today is still a State agrarian. Thus agriculture in Indonesia always get more attention by the government. Many government programs are rolled out to support the agricultural development of Indonesia, and one of them is the fertilizer subsidy to farmers Indonesia. Fertilizer itself is very useful to nourish the soil and provide vitamins to the plants, thus increasing the amount of production generated. Therefore it is necessary fertilizer for agriculture in Indonesia. CV. G company is one of the companies that produce fertilizer. Fertilizer produced by this company is an organic fertilizer and inorganic fertilizer. Problems faced by these companies are in planning the production of fertilizer produced. Companies want to optimize the amount of production of each fertilizer, maximize revenues, minimize production costs, and simultaneously optimize the working hours of employees. To meet these objectives, this research created program package using goal programming methods. Goal programming method can provide an effective solution / equilibrium toward the goals set, and the calculation will be assisted by using the Simplex method that has been modified. This method is an extension of linear programming, linear programming which can only solve problems with a single goal while the goal programming to solve problems with multiple objectives.

Biomass energy production in agriculture: A weighted goal programming analysis

International Nuclear Information System (INIS)

Ballarin, A.; Vecchiato, D.; Tempesta, T.; Marangon, F.; Troiano, S.

2011-01-01

Energy production from biomasses can be an important resource that, when combined with other green energies such as wind power and solar plants, can contribute to reduce dependency on fossil fuels. The aim of this study is to assess how agriculture could contribute to the production of bio-energy. A multi-period Weighted Goal Programming model (MpWGP) has been applied to identify the optimal land use combinations that simultaneously maximise farmers' income and biomass energy production under three concurrent constraints: water, labour and soil availability. Alternative scenarios are considered that take into account the effect of climate change and social change. The MpWGP model was tested with data from the Rovigo county area (Italy) over a 15-year time period. Our findings show that trade-off exists between the two optimisation targets considered. Although the optimisation of the first target requires traditional agricultural crops, which are characterised by high revenue and a low production of biomass energy, the latter would be achievable with intensive wood production, namely, high-energy production and low income. Our results also show the importance of the constraints imposed, particularly water availability; water scarcity has an overall negative effect and specifically affects the level of energy production. - Research Highlights: → The aim of this study is to assess how agriculture could contribute to the production of bio-energy. → A multi-period (15-year) Weighted Goal Programming model (MpWGP) has been applied. → We identify the optimal land use combinations that simultaneously maximise farmers' income and biomass energy production. → Three concurrent constraints have been considered: water, labour and soil availability.→ Water scarcity has an overall negative effect and specifically affects the level of energy production.

Analysis of the Multi Strategy Goal Programming for Micro-Grid Based on Dynamic ant Genetic Algorithm

Science.gov (United States)

Qiu, J. P.; Niu, D. X.

Micro-grid is one of the key technologies of the future energy supplies. Take economic planning. reliability, and environmental protection of micro grid as a basis for the analysis of multi-strategy objective programming problems for micro grid which contains wind power, solar power, and battery and micro gas turbine. Establish the mathematical model of each power generation characteristics and energy dissipation. and change micro grid planning multi-objective function under different operating strategies to a single objective model based on AHP method. Example analysis shows that in combination with dynamic ant mixed genetic algorithm can get the optimal power output of this model.

Sensitivity analysis on the priority order of the radiological worker allocation model using goal programming

International Nuclear Information System (INIS)

Jung, Hae Yong; Lee, Kun Jai

1998-01-01

In nuclear power plant, it has been the important object to reduce the occupational radiation exposure (ORE). Recently, the optimization concept of management science has been studied to reduce the ORE in nuclear power plant. In optimization of the worker allocation, the collective dose, working time, individual dose, and total number of worker must be considered and their priority orders must be thought because the main constraint is necessary for determining the constraints variable of the radiological worker allocation problem. The ultimate object of this study is to look into the change of the optimal allocation of the radiological worker as priority order changes. In this study, the priority order is the characteristic of goal programming that is a kind of multi-objective linear programming. From a result of study using goal programming, the total number of worker and collective dose of worker have changed as the priority order has changed and the collective dose limit have played an important role in reducing the ORE

Information and Intertemporal Choices in Multi-Agent Decision Problems

OpenAIRE

Mariagrazia Olivieri; Massimo Squillante; Viviana Ventre

2016-01-01

Psychological evidences of impulsivity and false consensus effect lead results far from rationality. It is shown that impulsivitymodifies the discount function of each individual, and false consensus effect increases the degree of consensus in a multi-agent decision problem. Analyzing them together we note that in strategic interactions these two human factors involve choices which change equilibriums expected by rational individuals.

77 FR 26827 - Medicaid Program; Community First Choice Option

Science.gov (United States)

2012-05-07

... Medicare & Medicaid Services 42 CFR Part 441 Medicaid Program; Community First Choice Option; Final Rule #0... [CMS-2337-F] RIN 0938-AQ35 Medicaid Program; Community First Choice Option AGENCY: Centers for Medicare... Affordable Care Act, which establishes a new State option to provide home and community-based attendant...

Modeling duration choice in space–time multi-state supernetworks for individual activity-travel scheduling

NARCIS (Netherlands)

Liao, F.

2016-01-01

Multi-state supernetworks have been advanced recently for modeling individual activity-travel scheduling decisions. The main advantage is that multi-dimensional choice facets are modeled simultaneously within an integral framework, supporting systematic assessments of a large spectrum of policies

Solving multi-objective facility location problem using the fuzzy analytical hierarchy process and goal programming: a case study on infectious waste disposal centers

Directory of Open Access Journals (Sweden)

Narong Wichapa

Full Text Available The selection of a suitable location for infectious waste disposal is one of the major problems in waste management. Determining the location of infectious waste disposal centers is a difficult and complex process because it requires combining social and environmental factors that are hard to interpret, and cost factors that require the allocation of resources. Additionally, it depends on several regulations. Based on the actual conditions of a case study, forty hospitals and three candidate municipalities in the sub-Northeast region of Thailand, we considered multiple factors such as infrastructure, geological and social & environmental factors, calculating global priority weights using the fuzzy analytical hierarchy process (FAHP. After that, a new multi-objective facility location problem model which combines FAHP and goal programming (GP, namely the FAHP-GP model, was tested. The proposed model can lead to selecting new suitable locations for infectious waste disposal by considering both total cost and final priority weight objectives. The novelty of the proposed model is the simultaneous combination of relevant factors that are difficult to interpret and cost factors, which require the allocation of resources. Keywords: Multi-objective facility location problem, Fuzzy analytic hierarchy process, Infectious waste disposal centers

76 FR 10735 - Medicaid Program; Community First Choice Option

Science.gov (United States)

2011-02-25

... for Medicare & Medicaid Services 42 CFR Part 441 Medicaid Program; Community First Choice Option... Part 441 [CMS-2337-P] RIN 0938-AQ35 Medicaid Program; Community First Choice Option AGENCY: Centers for... Section 2401 of the Affordable Care Act (ACA) which establishes a new State option to provide home and...

Behavioral Economics and the Supplemental Nutrition Assistance Program:: Making the Healthy Choice the Easy Choice.

Science.gov (United States)

Ammerman, Alice S; Hartman, Terry; DeMarco, Molly M

2017-02-01

The Supplemental Nutrition Assistance Program (SNAP) serves as an important nutritional safety net program for many Americans. Given its aim to use traditional economic levers to provide access to food, the SNAP program includes minimal nutritional requirements and restrictions. As food choices are influenced by more than just economic constraints, behavioral economics may offer insights and tools for altering food purchases for SNAP users. This manuscript outlines behavioral economics strategies that have potential to encourage healthier food choices within the SNAP program. Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Timber management planning with timber ram and goal programming

Science.gov (United States)

Richard C. Field

1978-01-01

By using goal programming to enhance the linear programming of Timber RAM, multiple decision criteria were incorporated in the timber management planning of a National Forest in the southeastern United States. Combining linear and goal programming capitalizes on the advantages of the two techniques and produces operationally feasible solutions. This enhancement may...

New approach for solving intuitionistic fuzzy multi-objective ...

Indian Academy of Sciences (India)

SANKAR KUMAR ROY

2018-02-07

Feb 7, 2018 ... Transportation problem; multi-objective decision making; intuitionistic fuzzy programming; interval programming ... MOTP under multi-choice environment using utility func- ... theory is an intuitionistic fuzzy set (IFS), which was.

Loss of lateral prefrontal cortex control in food-directed attention and goal-directed food choice in obesity.

Science.gov (United States)

Janssen, Lieneke K; Duif, Iris; van Loon, Ilke; Wegman, Joost; de Vries, Jeanne H M; Cools, Roshan; Aarts, Esther

2017-02-01

Loss of lateral prefrontal cortex (lPFC)-mediated attentional control may explain the automatic tendency to eat in the face of food. Here, we investigate the neurocognitive mechanism underlying attentional bias to food words and its association with obesity using a food Stroop task. We tested 76 healthy human subjects with a wide body mass index (BMI) range (19-35kg/m 2 ) using fMRI. As a measure of obesity we calculated individual obesity scores based on BMI, waist circumference and waist-to-hip ratio using principal component analyses. To investigate the automatic tendency to overeat directly, the same subjects performed a separate behavioral outcome devaluation task measuring the degree of goal-directed versus automatic food choices. We observed that increased obesity scores were associated with diminished lPFC responses during food attentional bias. This was accompanied by decreased goal-directed control of food choices following outcome devaluation. Together these findings suggest that deficient control of both food-directed attention and choice may contribute to obesity, particularly given our obesogenic environment with food cues everywhere, and the choice to ignore or indulge despite satiety. Copyright © 2016 Elsevier Inc. All rights reserved.

A decision rule based on goal programming and one-stage models for uncertain multi-criteria mixed decision making and games against nature

Directory of Open Access Journals (Sweden)

Helena Gaspars-Wieloch

2017-01-01

Full Text Available This paper is concerned with games against nature and multi-criteria decision making under uncertainty along with scenario planning. We focus on decision problems where a deterministic evaluation of criteria is not possible. The procedure we propose is based on weighted goal programming and may be applied when seeking a mixed strategy. A mixed strategy allows the decision maker to select and perform a weighted combination of several accessible alternatives. The new method takes into consideration the decision maker’s preference structure (importance of particular goals and nature (pessimistic, moderate or optimistic attitude towards a given problem. It is designed for one-shot decisions made under uncertainty with unknown probabilities (frequencies, i.e. for decision making under complete uncertainty or decision making under strategic uncertainty. The procedure refers to one-stage models, i.e. models considering combinations of scenarios and criteria (scenario-criterion pairs as distinct meta-attributes, which means that the novel approach can be used in the case of totally independent payoff matrices for particular targets. The algorithm does not require any information about frequencies, which is especially desirable for new decision problems. It can be successfully applied by passive decision makers, as only criteria weights and the coefficient of optimism have to be declared.

Handbook of critical issues in goal programming

CERN Document Server

Romero, C

1991-01-01

Goal Programming (GP) is perhaps the oldest and most widely used approach within the Multiple Criteria Decision Making (MCDM) paradigm. GP combines the logic of optimisation in mathematical programming with the decision maker's desire to satisfy several goals. The primary purpose of this book is to identify the critical issues in GP and to demonstrate different procedures capable of avoiding or mitigating the inherent pitfalls associated with these issues. The outcome of a search of the literature shows many instances where GP models produced misleading or even erroneous results simply because

Elitism, Sharing and Ranking Choices in Evolutionary Multi-Criterion Optimisation

OpenAIRE

Pursehouse, R.C.; Fleming, P.J.

2002-01-01

Elitism and sharing are two mechanisms that are believed to improve the performance of an evolutionary multi-criterion optimiser. The relative performance of of the two most popular ranking strategies is largely unknown. Using a new empirical inquiry framework, this report studies the effect of elitism, sharing and ranking design choices using a benchmark suite of two-criterion problems.........

Goal-Directed Visual Attention Drives Health Goal Priming: An Eye-Tracking Experiment

NARCIS (Netherlands)

Laan, van der Laura N.; Hooge, I.T.C.; Smeets, P.A.M.

2017-01-01

Objective: Several lab and field experiments have shown that goal priming interventions can be highly effective in promoting healthy food choices. Less is known, however, about the mechanisms by which goal priming affects food choice. This experiment tested the hypothesis that goal priming affects

Project evaluation and selection using fuzzy Delphi method and zero - one goal programming

Science.gov (United States)

Alias, Suriana; Adna, Nofarziah; Arsad, Roslah; Soid, Siti Khuzaimah; Ali, Zaileha Md

2014-12-01

Project evaluation and selection is a factor affecting the impotence of board director in which is trying to maximize all the possible goals. Assessment of the problem occurred in organization plan is the first phase for decision making process. The company needs a group of expert to evaluate the problems. The Fuzzy Delphi Method (FDM) is a systematic procedure to evoke the group's opinion in order to get the best result to evaluate the project performance. This paper proposes an evaluation and selection of the best alternative project based on combination of FDM and Zero - One Goal Programming (ZOGP) formulation. ZOGP is used to solve the multi-criteria decision making for final decision part by using optimization software LINDO 6.1. An empirical example on an ongoing decision making project in Johor, Malaysia is implemented for case study.

Milwaukee Parental Choice Program. First Year Report.

Science.gov (United States)

Witte, John F.

A preliminary evaluation and report were conducted of the Milwaukee (Wisconsin) Public Schools' (MPS) Parental Choice Program (PCP) following its first year of operation. The state legislated program provides an opportunity for students meeting specific criteria to attend private, non-sectarian schools in Milwaukee. A payment from public funds…

Bioenergy Technologies Office Multi-Year Program Plan. March 2016

Energy Technology Data Exchange (ETDEWEB)

Schwab, Amy [Bioenergy Technologies Office, Washington, DC (United States)

2016-03-01

The Bioenergy Technologies Office is one of the 10 technology development offices within the Office of Energy Efficiency and Renewable Energy at the U.S. Department of Energy. This Multi-Year Program Plan (MYPP) sets forth the goals and structure of the Bioenergy Technologies Office (the Office). It identifies the research, development, and demonstration (RD&D), and market transformation and crosscutting activities the Office will focus on over the next five years and outlines why these activities are important to meeting the energy and sustainability challenges facing the nation. This MYPP is intended for use as an operational guide to help the Office manage and coordinate its activities, as well as a resource to help communicate its mission and goals to stakeholders and the public.

Operational budgeting using fuzzy goal programming

OpenAIRE

Saeed Mohammadi; Kamran Feizi; Ali Khatami Firouz Abadi

2013-01-01

Having an efficient budget normally has different advantages such as measuring the performance of various organizations, setting appropriate targets and promoting managers based on their achievements. However, any budgeting planning requires prediction of different cost components. There are various methods for budgeting planning such as incremental budgeting, program budgeting, zero based budgeting and performance budgeting. In this paper, we present a fuzzy goal programming to estimate oper...

Teaching Goal-Setting for Weight-Gain Prevention in a College Population: Insights from the CHOICES Study

Science.gov (United States)

Gardner, Jolynn; Kjolhaug, Jerri; Linde, Jennifer A.; Sevcik, Sarah; Lytle, Leslie A.

2013-01-01

Purpose: This article describes the effectiveness of goal setting instruction in the CHOICES (Choosing Healthy Options in College Environments and Settings) study, an intervention evaluating the effectiveness of weight gain prevention strategies for 2-year college students. Methods: Four hundred and forty-one participants from three community…

Housing Choice Voucher Program Support Division (PSD)

Data.gov (United States)

Department of Housing and Urban Development — Housing Choice Voucher (HCV) Program Management Programmatic Report for April to June 2010. This is inofrmation collected from Housing Authorities across the nation...

Multi-state supernetworks: recent progress and prospects

Directory of Open Access Journals (Sweden)

Feixiong Liao

2014-02-01

Full Text Available Supernetworks have long been adopted to address multi-dimensional choice problems, which are thorny to solve for classic singular networks. Originated from combining transport mode and route choice into a multi-modal network, supernetworks have been extended into multi-state networks to include activity-travel scheduling, centered around activity-based models of travel demand. A key feature of the network extensions is that multiple choice facets pertaining to conducting a full activity program can be modeled in a consistent and integrative fashion. Thus, interdependencies and constraints between related choice facets can be readily captured. Given this advantage of integrity, the modeling of supernetwork has become an emerging topic in transportation research. This paper summarizes the recent progress in modeling multi-state supernetworks and discusses future prospects.

Unique programming: an examination of the benefits of a free choice program

Science.gov (United States)

Dorothy L. Schmalz; Deborah L. Kerstetter; Harry C. Zinn

2002-01-01

This study was an investigation of a free choice program and the benefits free choice yields on the developing characteristics of self-esteem and intrinsic motivation among adolescent girls. Both quantitative and qualitative data were collected at Brown Ledge Camp, an all girls summer camp outside of Burlington, Vermont, during the summer of 2000. Quantitative results...

Measuring what matters to patients: Using goal content to inform measure choice and development.

Science.gov (United States)

Jacob, Jenna; Edbrooke-Childs, Julian; Law, Duncan; Wolpert, Miranda

2017-04-01

Personalised care requires personalised outcomes and ways of feeding back clinically useful information to clinicians and practitioners, but it is not clear how to best personalise outcome measurement and feedback using existing standardised outcome measures. The constant comparison method of grounded theory was used to compare goal themes derived from goals set at the outset of therapy for 180 children aged between 4 and 17 years, visiting eight child and adolescent mental health services, to existing standardised outcome measures used as part of common national datasets. In all, 20 out of 27 goal themes corresponded to items on at least one commonly used outcome measure. Consideration of goal themes helped to identify potential relevant outcome measures. However, there were several goal themes that were not captured by items on standardised outcome measures. These seemed to be related to existential factors such as understanding, thinking about oneself and future planning. This presents a powerful framework for how clinicians can use goals to help select a standardised outcome measure (where this is helpful) in addition to the use of a goal-based outcome measure and personalise choices. There may be areas not captured by standardised outcome measures that may be important for children and young people and which may only be currently captured in goal measurement. There is an indication that we may not be measuring what is important to children and young people. We may need to develop or look for new measures that capture these areas.

Project Choice: Lessons Learned.

Science.gov (United States)

Ewing Marion Kauffman Foundation, Kansas City, MO.

Project Choice began with a simple goal: to increase the number of inner-city students who graduate from high school on time and become productive members of society. To that end, Ewing M. Kauffman, his Foundation, and associates designed and implemented a program that promised postsecondary education or training to some students in the Kansas…

Mathematical solution of multilevel fractional programming problem with fuzzy goal programming approach

Science.gov (United States)

Lachhwani, Kailash; Poonia, Mahaveer Prasad

2012-08-01

In this paper, we show a procedure for solving multilevel fractional programming problems in a large hierarchical decentralized organization using fuzzy goal programming approach. In the proposed method, the tolerance membership functions for the fuzzily described numerator and denominator part of the objective functions of all levels as well as the control vectors of the higher level decision makers are respectively defined by determining individual optimal solutions of each of the level decision makers. A possible relaxation of the higher level decision is considered for avoiding decision deadlock due to the conflicting nature of objective functions. Then, fuzzy goal programming approach is used for achieving the highest degree of each of the membership goal by minimizing negative deviational variables. We also provide sensitivity analysis with variation of tolerance values on decision vectors to show how the solution is sensitive to the change of tolerance values with the help of a numerical example.

Using a Systematic Approach and Theoretical Framework to Design a Curriculum for the Shaping Healthy Choices Program.

Science.gov (United States)

Linnell, Jessica D; Zidenberg-Cherr, Sheri; Briggs, Marilyn; Scherr, Rachel E; Brian, Kelley M; Hillhouse, Carol; Smith, Martin H

2016-01-01

To examine the use of a systematic approach and theoretical framework to develop an inquiry-based, garden-enhanced nutrition curriculum for the Shaping Healthy Choices Program. Curriculum development occurred in 3 steps: identification of learning objectives, determination of evidence of learning, and activity development. Curriculum activities were further refined through pilot-testing, which was conducted in 2 phases. Formative data collected during pilot-testing resulted in improvements to activities. Using a systematic, iterative process resulted in a curriculum called Discovering Healthy Choices, which has a strong foundation in Social Cognitive Theory and constructivist learning theory. Furthermore, the Backward Design method provided the design team with a systematic approach to ensure activities addressed targeted learning objectives and overall Shaping Healthy Choices Program goals. The process by which a nutrition curriculum is developed may have a direct effect on student outcomes. Processes by which nutrition curricula are designed and learning objectives are selected, and how theory and pedagogy are applied should be further investigated so that effective approaches to developing garden-enhanced nutrition interventions can be determined and replicated. Copyright © 2016 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

Teaching Goal-Setting for Weight-Gain Prevention in a College Population: Insights from the CHOICES Study.

Science.gov (United States)

Gardner, Jolynn; Kjolhaug, Jerri; Linde, Jennifer A; Sevcik, Sarah; Lytle, Leslie A

2013-01-01

This article describes the effectiveness of goal setting instruction in the CHOICES (Choosing Healthy Options in College Environments and Settings) study, an intervention evaluating the effectiveness of weight gain prevention strategies for 2-year college students. Four hundred and forty-one participants from three community colleges were recruited. Participants randomized into the intervention (n=224) enrolled in a course that taught strategies to help maintain or achieve a healthy weight. Participants were instructed in SMART (Specific, Measurable, Attainable, Realistic, Time-based) and behavioral goal-setting practices. Throughout the course, participants set goals related to improving their sleep, stress-management, exercise, and nutrition." Intervention participants set four hundred eighteen goals. Each goal was carefully evaluated. The efforts to teach behavioral goal-setting strategies were largely successful; however efforts to convey the intricacies of SMART goal-setting were not as successful. Implications for effective teaching of skills in setting SMART behavioral goals were realized in this study. The insights gained from the goal-setting activities of this study could be used to guide educators who utilize goals to achieve health behavior change. Based on the results of this study, it is recommended that very clear and directed instruction be provided in addition to multiple opportunities for goal-setting practice. Implications for future interventions involving education about goal-setting activities are discussed.

How School Choice Programs Can Save Money. WebMemo #727

Science.gov (United States)

Johnson, Kirk A.

2005-01-01

Educational choice can improve educational achievement and states' bottom lines. Not only do choice programs help students from lower-income families attend schools that they otherwise might not be able to attend, but they can also save money in the process. A record number of state legislatures have considered school choice legislation this year,…

Mental Computation or Standard Algorithm? Children's Strategy Choices on Multi-Digit Subtractions

Science.gov (United States)

Torbeyns, Joke; Verschaffel, Lieven

2016-01-01

This study analyzed children's use of mental computation strategies and the standard algorithm on multi-digit subtractions. Fifty-eight Flemish 4th graders of varying mathematical achievement level were individually offered subtractions that either stimulated the use of mental computation strategies or the standard algorithm in one choice and two…

34 CFR 377.1 - What is the Demonstration Projects to Increase Client Choice Program?

Science.gov (United States)

2010-07-01

... 34 Education 2 2010-07-01 2010-07-01 false What is the Demonstration Projects to Increase Client... PROJECTS TO INCREASE CLIENT CHOICE PROGRAM General § 377.1 What is the Demonstration Projects to Increase Client Choice Program? The Demonstration Projects to Increase Client Choice Program is designed to...

Comparative study on credibility measures of type-2 and type-1 fuzzy variables and their application to a multi-objective profit transportation problem via goal programming

Directory of Open Access Journals (Sweden)

Dipak Kumar Jana

2017-06-01

Full Text Available In real world applications supply, demand and transportation costs per unit of the quantities in multi-objective transportation problems may be hardly specified accurately because of the changing economic and environmental conditions. It is also significant that the time required for transportation should be minimized. In this paper, we have presented three reduction methods for a type-2 triangular fuzzy variable (T2TrFV by adopting the critical value (CV. Three generalized expected values (optimistic, CV and pessimistic are derived for T2TrFVs with some special cases. Then a multi-objective profit transportation problem (MOPTP with fixed charge (FC cost has been formulated and solved in type-2 fuzzy environment. Unit transportation costs, FC, selling prices, unit transport times, loading and unloading times, total supply capacities and demands are all considered as triangular Type-2 fuzzy numbers. The MOPTP has been converted into a single objective by using the goal programming technique and the weighted sum method. The deterministic model is then solved using the Generalized Reduced Gradient method Lingo 14.0. Numerical experiments with some sensitivity analysis are illustrated the application and effectiveness of the proposed approaches.

Location choice in the context of multi-day activity-travel patterns : model development and empirical results

NARCIS (Netherlands)

Arentze, T.A.; Ettema, D.F.; Timmermans, H.J.P.

2013-01-01

Multi-day activity-based models of travel demand are receiving increasing interest recently as successors of existing single-day activity-based models. In this article, we argue that predicting activity location choice-sets can no longer be ignored when multi-day time frames are adopted in these

A study on the optimization of radwaste treatment system: using goal programming

International Nuclear Information System (INIS)

Yang, Jin Yeong

1998-02-01

This study is concerned with the applications of linear goal programming techniques and artificial intelligence algorithm (fuzzy theory and genetic algorithm) to the analysis of management and operational problems in the radioactive processing system (RWPS). A typical RWPS is modeled as a linear functions to study and resolve the effects of conflicting objectives such as cost, limitation of released radioactivity to the environment, equipment utilization and total treatable radioactive waste volume before discharge and disposal. The developed model is validated and verified using actual data obtained from the RWPS at Kyoto University in Japan. The solution by goal programming would show the optimal operation point which is to maximize the total treatable radioactive waste volume and minimize the released radioactivity of liquid waste even under the restricted resources. But goal programming has a demerit that the target values are decided by decision maker arbitrarily. To complement the goal programming's demerit, the fuzzy set theory is introduced and the target values are analyzed by it. Genetic algorithm is combined with goal programming and the results by it is compared with that of goal programming only

Education by the Numbers: The Fiscal Effect of School Choice Programs, 1990-2006. School Choice Issues in Depth

Science.gov (United States)

Aud, Susan L.

2007-01-01

School choice programs, which allow students to attend the public or private school of their choice using public funds, have taken root in the U.S. and are growing rapidly both in number and size. Their fiscal impact has become an important political issue. Proponents say school choice saves money because private schooling is more efficient,…

Theoretical and algorithmic advances in multi-parametric programming and control

KAUST Repository

Pistikopoulos, Efstratios N.; Dominguez, Luis; Panos, Christos; Kouramas, Konstantinos; Chinchuluun, Altannar

2012-01-01

This paper presents an overview of recent theoretical and algorithmic advances, and applications in the areas of multi-parametric programming and explicit/multi-parametric model predictive control (mp-MPC). In multi-parametric programming, advances include areas such as nonlinear multi-parametric programming (mp-NLP), bi-level programming, dynamic programming and global optimization for multi-parametric mixed-integer linear programming problems (mp-MILPs). In multi-parametric/explicit MPC (mp-MPC), advances include areas such as robust multi-parametric control, multi-parametric nonlinear MPC (mp-NMPC) and model reduction in mp-MPC. A comprehensive framework for multi-parametric programming and control is also presented. Recent applications include a hydrogen storage device, a fuel cell power generation system, an unmanned autonomous vehicle (UAV) and a hybrid pressure swing adsorption (PSA) system. © 2012 Springer-Verlag.

Theoretical and algorithmic advances in multi-parametric programming and control

KAUST Repository

Pistikopoulos, Efstratios N.

2012-04-21

This paper presents an overview of recent theoretical and algorithmic advances, and applications in the areas of multi-parametric programming and explicit/multi-parametric model predictive control (mp-MPC). In multi-parametric programming, advances include areas such as nonlinear multi-parametric programming (mp-NLP), bi-level programming, dynamic programming and global optimization for multi-parametric mixed-integer linear programming problems (mp-MILPs). In multi-parametric/explicit MPC (mp-MPC), advances include areas such as robust multi-parametric control, multi-parametric nonlinear MPC (mp-NMPC) and model reduction in mp-MPC. A comprehensive framework for multi-parametric programming and control is also presented. Recent applications include a hydrogen storage device, a fuel cell power generation system, an unmanned autonomous vehicle (UAV) and a hybrid pressure swing adsorption (PSA) system. © 2012 Springer-Verlag.

Development of a multi-media crew-training program for the terminal configured vehicle mission simulator

Science.gov (United States)

Rhouck, J. A.; Markos, A. T.

1980-01-01

This paper describes the work being done at the National Aeronautics and Space Administration's (NASA) Langley Research Center on the development of a multi-media crew-training program for the Terminal Configured Vehicle (TCV) Mission Simulator. Brief descriptions of the goals and objectives of the TCV Program and of the TCV Mission Simulator are presented. A detailed description of the training program is provided along with a description of the performance of the first group of four commercial pilots to be qualified in the TCV Mission Simulator.

MD/MBA Students: An Analysis of Medical Student Career Choice

Directory of Open Access Journals (Sweden)

Windsor Westbrook Sherrill, Ph.D., MBA

2004-01-01

Full Text Available Background: An increasing number of medical schools are offering dual degree MD/MBA programs. Career choices and factors influencing students to enter these programs provide an indicator of the roles in which dual degree students will serve in health care as well as the future of dual degree programs. Purpose: Using career choice theory as a conceptual framework, career goals and factors influencing decisions to enter dual degree programs were assessed among dual degree medical students. Methods: Students enrolled at dual degree programs at six medical schools were surveyed and interviewed. A control group of traditional medical students was also surveyed. Results: Factors influencing students to seek both medical and business training are varied but are often related to a desire for leadership opportunities, concerns about change in medicine and job security and personal career goals. Most students expect to combine clinical and administrative roles. Conclusions: Students entering these programs do so for a variety of reasons and plan diverse careers. These findings can provide guidance for program development and recruitment for dual degree medical education programs

MD/MBA Students: An Analysis of Medical Student Career Choice

Directory of Open Access Journals (Sweden)

Windsor Westbrook Sherrill, Ph.D., MBA

2004-01-01

Full Text Available Background: An increasing number of medical schools are offering dual degree MD/MBA programs. Career choices and factors influencing students to enter these programs provide an indicator of the roles in which dual degree students will serve in health care as well as the future of dual degree programs. Purpose: Using career choice theory as a conceptual framework, career goals and factors influencing decisions to enter dual degree programs were assessed among dual degree medical students. Methods: Students enrolled at dual degree programs at six medical schools were surveyed and interviewed. A control group of traditional medical students was also surveyed. Results: Factors influencing students to seek both medical and business training are varied but are often related to a desire for leadership opportunities, concerns about change in medicine and job security and personal career goals. Most students expect to combine clinical and administrative roles. Conclusions: Students entering these programs do so for a variety of reasons and plan diverse careers. These findings can provide guidance for program development and recruitment for dual degree medical education program

MD/MBA Students: An Analysis of Medical Student Career Choice.

Science.gov (United States)

Sherrill, Windsor Westbrook

2004-12-01

An increasing number of medical schools are offering dual degree MD/MBA programs. Career choices and factors influencing students to enter these programs provide an indicator of the roles in which dual degree students will serve in health care as well as the future of dual degree programs. Using career choice theory as a conceptual framework, career goals and factors influencing decisions to enter dual degree programs were assessed among dual degree medical students. Students enrolled at dual degree programs at six medical schools were surveyed and interviewed. A control group of traditional medical students was also surveyed. Factors influencing students to seek both medical and business training are varied but are often related to a desire for leadership opportunities, concerns about change in medicine and job security and personal career goals. Most students expect to combine clinical and administrative roles. Students entering these programs do so for a variety of reasons and plan diverse careers. These findings can provide guidance for program development and recruitment for dual degree medical education programs.

Motivational Goal Bracketing

DEFF Research Database (Denmark)

Nafziger, Julia; Koch, Alexander

It is a puzzle why people often evaluate consequences of choices separately (narrow bracketing) rather than jointly (broad bracketing). We study the hypothesis that a present-biased individual, who faces two tasks, may bracket his goals narrowly for motivational reasons. Goals motivate because th...... of the tasks. Narrow goals have a stronger motivational force and thus can be optimal. In particular, if one task outcome becomes known before working on the second task, narrow bracketing is always optimal.......It is a puzzle why people often evaluate consequences of choices separately (narrow bracketing) rather than jointly (broad bracketing). We study the hypothesis that a present-biased individual, who faces two tasks, may bracket his goals narrowly for motivational reasons. Goals motivate because...

Analytical Services Fiscal Year 1996 Multi-year Program Plan Fiscal Year Work Plan WBS 1.5.1, Revision 1

Energy Technology Data Exchange (ETDEWEB)

NONE

1995-09-01

This document contains the Fiscal Year 1996 Work Plan and Multi-Year Program Plan for the Analytical Services Program at the Hanford Reservation in Richland, Washington. The Analytical Services Program provides vital support to the Hanford Site mission and provides technically sound, defensible, cost effective, high quality analytical chemistry data for the site programs. This report describes the goals and strategies for continuance of the Analytical Services Program through fiscal year 1996 and beyond.

Analytical Services Fiscal Year 1996 Multi-year Program Plan Fiscal Year Work Plan WBS 1.5.1, Revision 1

International Nuclear Information System (INIS)

1995-09-01

This document contains the Fiscal Year 1996 Work Plan and Multi-Year Program Plan for the Analytical Services Program at the Hanford Reservation in Richland, Washington. The Analytical Services Program provides vital support to the Hanford Site mission and provides technically sound, defensible, cost effective, high quality analytical chemistry data for the site programs. This report describes the goals and strategies for continuance of the Analytical Services Program through fiscal year 1996 and beyond

Goals and Methodology for a Surgery Residency Program: A Committee Approach.

Science.gov (United States)

Knecht, Charles D.; And Others

1979-01-01

Written goals of a small animal residency program established by Purdue University are identified and an elaborate list of methodology for goals is provided. Tables include: summary of required activities of residents, checklist of residency progress, and comparable effort for surgery residency and masters program. (Author/MLW)

Interactive Approach for Multi-Level Multi-Objective Fractional Programming Problems with Fuzzy Parameters

Directory of Open Access Journals (Sweden)

M.S. Osman

2018-03-01

Full Text Available In this paper, an interactive approach for solving multi-level multi-objective fractional programming (ML-MOFP problems with fuzzy parameters is presented. The proposed interactive approach makes an extended work of Shi and Xia (1997. In the first phase, the numerical crisp model of the ML-MOFP problem has been developed at a confidence level without changing the fuzzy gist of the problem. Then, the linear model for the ML-MOFP problem is formulated. In the second phase, the interactive approach simplifies the linear multi-level multi-objective model by converting it into separate multi-objective programming problems. Also, each separate multi-objective programming problem of the linear model is solved by the ∊-constraint method and the concept of satisfactoriness. Finally, illustrative examples and comparisons with the previous approaches are utilized to evince the feasibility of the proposed approach.

ERDA's long-term waste management goals and programs

International Nuclear Information System (INIS)

Perge, A.F.; Trice, V.G. Jr.; Walton, R.D. Jr.

1976-01-01

This paper presents an overview of the ERDA's major program for the long-term waste management of radioactive waste and provides a perspective for symposium participants with regard to the interrelationship of specific components of the program that are discussed in detail in other ERDA-sponsored papers. Needs, goals, and plans are reviewed for ERDA's management of the commercially generated wastes which are expected to be delivered to ERDA in accordance with Federal regulations. At present, ERDA responsibilities include long-term management of commercial-level wastes. Possible future regulations may give ERDA responsibility for the long-term management of commercial low-level solid wastes contaminated with transuranic nuclides. Primary planning goals and programs for the development of terminal storage facilities and waste processing technology to produce acceptable waste forms for long-term management are reviewed for each of the waste types identified above. The status of development programs for the long-term management of airborne radionuclides, which may be required at some time in the future, is also reviewed. (author)

Railway projects prioritisation for investment : application of goal programming

OpenAIRE

Ahern, Aoife; Anandarajah, Gabrial

2007-01-01

This research develops a weighted integer goal-programming model for prioritising railway projects for investment. The goal of the model is to prioritise the identified projects for investment while maximising the objectives and meeting the budget limit for capital investment. The model minimises the goal deviations of the objectives. The objectives of the model include quantitative and qualitative attributes. The model is applied to prioritise the new railway projects, which have a total cos...

A goal programming procedure for solving fuzzy multiobjective fractional linear programming problems

Directory of Open Access Journals (Sweden)

Tunjo Perić

2014-12-01

Full Text Available This paper presents a modification of Pal, Moitra and Maulik's goal programming procedure for fuzzy multiobjective linear fractional programming problem solving. The proposed modification of the method allows simpler solving of economic multiple objective fractional linear programming (MOFLP problems, enabling the obtained solutions to express the preferences of the decision maker defined by the objective function weights. The proposed method is tested on the production planning example.

SPATIAL SEARCH IN COMMERCIAL FISHING: A DISCRETE CHOICE DYNAMIC PROGRAMMING APPROACH

OpenAIRE

Smith, Martin D.; Provencher, Bill

2003-01-01

We specify a discrete choice dynamic programming model of commercial fishing participation and location choices. This approach allows us to examine how fishermen collect information about resource abundance and whether their behavior is forward-looking.

Drunk decisions: Alcohol shifts choice from habitual towards goal-directed control in adolescent intermediate-risk drinkers.

Science.gov (United States)

Obst, Elisabeth; Schad, Daniel J; Huys, Quentin Jm; Sebold, Miriam; Nebe, Stephan; Sommer, Christian; Smolka, Michael N; Zimmermann, Ulrich S

2018-05-01

Studies in humans and animals suggest a shift from goal-directed to habitual decision-making in addiction. We therefore tested whether acute alcohol administration reduces goal-directed and promotes habitual decision-making, and whether these effects are moderated by self-reported drinking problems. Fifty-three socially drinking males completed the two-step task in a randomised crossover design while receiving an intravenous infusion of ethanol (blood alcohol level=80 mg%), or placebo. To minimise potential bias by long-standing heavy drinking and subsequent neuropsychological impairment, we tested 18- to 19-year-old adolescents. Alcohol administration consistently reduced habitual, model-free decisions, while its effects on goal-directed, model-based behaviour varied as a function of drinking problems measured with the Alcohol Use Disorders Identification Test. While adolescents with low risk for drinking problems (scoring towards goal-directed decision-making, such that alcohol possibly even improved their performance. We assume that alcohol disrupted basic cognitive functions underlying habitual and goal-directed decisions in low-risk drinkers, thereby enhancing hasty choices. Further, we speculate that intermediate-risk drinkers benefited from alcohol as a negative reinforcer that reduced unpleasant emotional states, possibly displaying a novel risk factor for drinking in adolescence.

Operational budgeting using fuzzy goal programming

Directory of Open Access Journals (Sweden)

Saeed Mohammadi

2013-10-01

Full Text Available Having an efficient budget normally has different advantages such as measuring the performance of various organizations, setting appropriate targets and promoting managers based on their achievements. However, any budgeting planning requires prediction of different cost components. There are various methods for budgeting planning such as incremental budgeting, program budgeting, zero based budgeting and performance budgeting. In this paper, we present a fuzzy goal programming to estimate operational budget. The proposed model uses fuzzy triangular as well as interval number to estimate budgeting expenses. The proposed study of this paper is implemented for a real-world case study in province of Qom, Iran and the results are analyzed.

Mean-Variance stochastic goal programming for sustainable mutual funds' portfolio selection.

Directory of Open Access Journals (Sweden)

García-Bernabeu, Ana

2015-11-01

Full Text Available Mean-Variance Stochastic Goal Programming models (MV-SGP provide satisficing investment solutions in uncertain contexts. In this work, an MV-SGP model is proposed for portfolio selection which includes goals with regards to traditional and sustainable assets. The proposed approach is based on a two-step procedure. In the first step, sustainability and/or financial screens are applied to a set of assets (mutual funds previously evaluated with TOPSIS to determine the opportunity set. In a second step, satisficing portfolios of assets are obtained using a Goal Programming approach. Two different goals are considered. The first goal reflects only the purely financial side of the target while the second goal is referred to the sustainable side. Aversion to Risk Absolute (ARA coefficients are estimated and incorporated in our investment decision making approach using two different approaches.

Go green choices : a regional employer TDM program

Energy Technology Data Exchange (ETDEWEB)

Mackniak, C.; Hartley-Folz, S. [Better Environmentally Sound Transportation (BEST), Vancouver, BC (Canada)

2002-07-01

Go Green Choices is a regional, voluntary, employer-based trip reduction program initiated in 1994 by BC Transit. It is now funded by the TransLink Regional Transportation Authority in Vancouver. This presentation described how the program got started and the services it delivers. The 1990 Go Green Campaign in Vancouver increased awareness about transportation issues and air quality problems. Transportation demand management (TDM) was used to address traffic congestion issues and to help reduce the number of car trips. The presentation demonstrated how workplace trip reduction programs can be promoted by highlighting their benefits such as reduced stress for employees, retaining and recruiting valuable staff, higher productivity and performance due to low absenteeism. It also reduces the need for parking. The following case studies were presented: (1) Crystal Decision wanted to attract high quality young employees, so their choice of location was near walking and cycling paths, and they had no subsidized parking, and (2) the Vancouver Airport Authority developed innovative trip reduction plans and are considering the possibility of a new express bus to the airport.

Teens, Food Choice, and Health: How Can a Multi-Method Research Methodology Enhance the Study of Teen Food Choice and Health Messaging?

OpenAIRE

Wiseman, Kelleen

2011-01-01

This research report compares alternative approaches to analyzing the complex factors that influence teenagers' food choice. Specifically, a multi-method approach-which involves the integration of the qualitative and quantitative research methodoligies, data and analysis-is compared to a single methodological approach, which involves use of either a quantitative or qualitative methodology.

Modeling Impulse and Non-Impulse Store Choice Processes in a Multi-Agent Simulation of Pedestrian Activity in Shopping Environments

NARCIS (Netherlands)

Dijkstra, J.; Timmermans, H.J.P.; Vries, de B.; Timmermans, H.J.P.

2009-01-01

This chapter presents a multi-agent approach for modeling impulse and non-impulse store choice processes of pedestrian activity in shopping environments. The pedestrian simulation context will be discussed as well as the behavioral principles underlying the store choice processes. For these

Advanced reactors transition fiscal year 1995 multi-year program plan WBS 7.3

International Nuclear Information System (INIS)

Loika, E.F.

1994-01-01

This document describes in detail the work to be accomplished in FY-1995 and the out years for the Advanced Reactors Transition (WBS 7.3). This document describes specific milestones and funding profiles. Based upon the Fiscal Year 1995 Multi-Year Program Plan, DOE will provide authorization to perform the work outlined in the FY 1995 MYPP. Following direction given by the US Department of Energy (DOE) on December 15, 1993, Advanced Reactors Transition (ART), previously known as Advanced Reactors, will provide the planning and perform the necessary activities for placing the Fast Flux Test Facility (FFTF) in a radiologically and industrially safe shutdown condition. The DOE goal is to accomplish the shutdown in approximately five years. The Advanced Reactors Transition Multi-Year Program Plan, and the supporting documents; i.e., the FFTF Shutdown Program Plan and the FFTF Shutdown Project Resource Loaded Schedule (RLS), are defined for the life of the Program. During the transition period to achieve the Shutdown end-state, the facilities and systems will continue to be maintained in a safe and environmentally sound condition. Additionally, facilities that were associated with the Office of Nuclear Energy (NE) Programs, and are no longer required to support the Liquid Metal Reactor Program will be deactivated and transferred to an alternate sponsor or the Decontamination and Decommissioning (D and D) Program for final disposition, as appropriate

Multi-Language Programs. Beginnings Workshop.

Science.gov (United States)

D'Onofrio-Papadaki, Evienia; Matsalia, Joan; Bowie, Paula; Wardle, Francis; Bruno, Holly Elissa

2003-01-01

Presents five articles on multi-language programs in early childhood education: "Bilingualism/Multilingualism and Language Acquisition Theories" (Evienia Papadaki-D'Onofrio); "Training and Supporting Caregivers Who Speak a Language Different from Those in Their Community" (Joan Matsalia and Paula Bowie); "Language Immersion Programs for Young…

The Choice Architecture of Choice Architecture: Toward a Non-paternalistic Nudge Policy

OpenAIRE

David Colander; Andrew Qi Lin Chong

2010-01-01

The paper seeks to recast the goal of nudge policy from a goal of achieving a specific result determined by government or by behavioral economists to a goal of giving individuals as much power as is practical to decide the choice architecture they face. We call a nudge with such a giving individuals “power over choice mechanisms” goal a non-paternalistic nudge policy. The goal of non-paternalistic nudge policy is not to achieve a better result as seen by government or by behavioral economists...

New approach to the optimization of nuclear fuel cycle - application of the goal programming and the AHP

International Nuclear Information System (INIS)

Kim, Poong Oh

1998-02-01

The front-end fuel cycle from mining to enrichment is in the maturity. Unlike the front-end fuel cycle, there are several pathways in the back-end fuel cycle. in this study five fuel cycle scenarios derived from a unique position in Korea of having a two-reactor programme of PWR and PHWR are proposed. In a selection of an optimal fuel cycle in a country, a number of attributes and factors that interact each other should be taken into account. Those factors to be considered in the study are categorized into two groups, one is tangible factor and the other is intangible factor. The major factors consist of minimizing fuel cycle cost, maximizing resource utilization, minimizing environmental impact and satisfying domestic and international politics. The long-term consequences of any decision for the back-end fuel cycle requires some sophisticated decision making tools. In this paper the Goal Programming method in combination with the Analytic Hierarchy Process (AHP) is applied in the decision making process. The Goal Programming is a very useful decision making tool to solve complex and multi-objective problems. The AHP, a method of solving complex decision problems with multiple attributes or objectives shows the strength in measuring the preferences of the attributes. In the study, the AHP is used for quantification of the intangible factors of which the evaluation is done by a team of nuclear experts. A model for fuel cycle selection is established in accordance with the logic of the Goal Programming. Also an interactive computer program is developed to obtain a solution for the most optimal fuel cycle in Korea

Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposaL

Energy Technology Data Exchange (ETDEWEB)

Wichapa, Narong; Khokhajaikiat, Porntep

2017-07-01

Disposal of infectious waste remains one of the most serious problems in the social and environmental domains of almost every nation. Selection of new suitable locations and finding the optimal set of transport routes to transport infectious waste, namely location routing problem for infectious waste disposal, is one of the major problems in hazardous waste management. Design/methodology/approach: Due to the complexity of this problem, location routing problem for a case study, forty hospitals and three candidate municipalities in sub-Northeastern Thailand, was divided into two phases. The first phase is to choose suitable municipalities using hybrid fuzzy goal programming model which hybridizes the fuzzy analytic hierarchy process and fuzzy goal programming. The second phase is to find the optimal routes for each selected municipality using hybrid genetic algorithm which hybridizes the genetic algorithm and local searches including 2-Opt-move, Insertion-move and ?-interchange-move. Findings: The results indicate that the hybrid fuzzy goal programming model can guide the selection of new suitable municipalities, and the hybrid genetic algorithm can provide the optimal routes for a fleet of vehicles effectively. Originality/value: The novelty of the proposed methodologies, hybrid fuzzy goal programming model, is the simultaneous combination of both intangible and tangible factors in order to choose new suitable locations, and the hybrid genetic algorithm can be used to determine the optimal routes which provide a minimum number of vehicles and minimum transportation cost under the actual situation, efficiently.

Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposaL

International Nuclear Information System (INIS)

Wichapa, Narong; Khokhajaikiat, Porntep

2017-01-01

Disposal of infectious waste remains one of the most serious problems in the social and environmental domains of almost every nation. Selection of new suitable locations and finding the optimal set of transport routes to transport infectious waste, namely location routing problem for infectious waste disposal, is one of the major problems in hazardous waste management. Design/methodology/approach: Due to the complexity of this problem, location routing problem for a case study, forty hospitals and three candidate municipalities in sub-Northeastern Thailand, was divided into two phases. The first phase is to choose suitable municipalities using hybrid fuzzy goal programming model which hybridizes the fuzzy analytic hierarchy process and fuzzy goal programming. The second phase is to find the optimal routes for each selected municipality using hybrid genetic algorithm which hybridizes the genetic algorithm and local searches including 2-Opt-move, Insertion-move and ?-interchange-move. Findings: The results indicate that the hybrid fuzzy goal programming model can guide the selection of new suitable municipalities, and the hybrid genetic algorithm can provide the optimal routes for a fleet of vehicles effectively. Originality/value: The novelty of the proposed methodologies, hybrid fuzzy goal programming model, is the simultaneous combination of both intangible and tangible factors in order to choose new suitable locations, and the hybrid genetic algorithm can be used to determine the optimal routes which provide a minimum number of vehicles and minimum transportation cost under the actual situation, efficiently.

Goals, Methods, and Progress in Neuroeconomics

OpenAIRE

Colin F. Camerer

2013-01-01

Neuroeconomics shares the main goals of microeconomics: to understand what causes choices, and the welfare properties of choice. The novel goal is linking mathematical constructs and observable behavior to mechanistic details of neural circuitry. Several complementary methods are used. An initial insight from neuroscience is that distinct systems guide choice: Pavlovian and instrumental conditioning (learning) of state-value and response-value associations, overlearned habits, and model- (or ...

The impact of goal setting and goal orientation on performance during a clerkship surgical skills training program.

Science.gov (United States)

Gardner, Aimee K; Diesen, Diana L; Hogg, Deborah; Huerta, Sergio

2016-02-01

The purpose of this study was to integrate relevant goal-setting theory and to identify if trainees' goal orientations have an impact on the assigned goals-performance relationship. Trainees attended 1 of the 3 goal-training activities (do your best, performance, or learning goals) for knot tying (KT) and camera navigation (CN) during the 3rd-year clerkship rotation. Questionnaires and pretests and/or post-tests were completed. One twenty-seven 3rd-year medical students (age: 25 ± 2.6; 54% women) participated in the training program. Pretraining to post-training performance changes were significant for all groups on both tasks (P goals group (do your best: KTΔ = 2.14, CNΔ = 1.69; performance: KTΔ = 2.49, CNΔ = 2.24; learning: KTΔ = 3.04 CNΔ = 2.76). Correlations between goal orientations and improvement were examined, revealing a unique role of goal orientation for performance improvement. These data indicate that consideration of goal type and trainee goal orientation must be considered during curriculum development to maximize educational value. Copyright © 2016 Elsevier Inc. All rights reserved.

75 FR 57145 - Federal-State Unemployment Compensation Program; Funding Goals for Interest-Free Advances

Science.gov (United States)

2010-09-17

... Unemployment Compensation Program; Funding Goals for Interest-Free Advances; Final Rule #0;#0;Federal Register... Unemployment Compensation Program; Funding Goals for Interest-Free Advances AGENCY: Employment and Training... unemployment compensation (UC) upon the State meeting ``funding goals, established under regulations issued by...

The Choice Architecture of Choice Architecture: Toward a Nonpaternalistic Nudge Policy

OpenAIRE

David Colander; Andrew Qi Lin Chong

2009-01-01

This The goal of nudge policy is generally presented as assisting people in finding their “true” preferences. Supporters argue that nudge policies meet a libertarian paternalism criterion. This claim has provoked complaints that nudge policies are unacceptably paternalistic. This paper suggests that by changing the explicit goal of nudge policy to a goal of making the choice of choice mechanism an explicit decision variable of the subgroup being affected by the nudge one can have a non-patern...

Alternative Administrative Certification: Socializing Factors Influencing Program Choice

Science.gov (United States)

Bickmore, Dana L.; Bickmore, Steven T.; Raines, Sarah

2013-01-01

This study used an organizational socialization lens to examine factors influencing participants' decision to pursue the principalship and choice to engage in an alternate administration certification program. Through an analysis of participant focus groups and interviews, factors emerged from the codes that were compared with dimensions of…

Application of Multio-bjective Fuzzy Goal Programming to Optimize Cropping Pattern with Emphasis on Using Conservation Tillage Methods

Directory of Open Access Journals (Sweden)

samad erfanifar

2014-10-01

Full Text Available In this study, the optimal cropping patterns based on individual aims are presented and followed by a multi-objective cropping pattern with emphasize on the use of conservation tillage methods in Darab region presented. Individual goals consisted of maximizing gross margin and food secIn this study, the optimal cropping patterns based on individual aims were presented and followed by using a multi-objective fuzzy goal programming with emphasize on the use of conservation tillage methods in the Darab region. Individual goals consisted of maximizing gross margin and food security and minimizing water consumption and urea fertilizer use. The results showed that in the multi-objective cropping pattern, gross margin and food security increased by 23.5% and 6.1% , while water and energy consumption decreased by 4% and 5.1%, respectively as compared to the current cropping pattern. The fuzzy composite distance improved by %36, as compared to the current condition. Moreover, having replaced the conventional tillage methods with conservation tillage methods in the cropping pattern, the diesel fuel consumption reduced by 27%. Therefore, replacing multi-objective cropping pattern ,on which the conservation tillage methods are emphasized, with the conventional cropping patterns improves economic and environmental conditions. urity index and minimizing water and urea fertilizer.The results showed that in the multi-objective cropping pattern, gross margin and food security index respectively increase by 23.5% and 6.1% and water and energy consumption decrease by 4% and 5.1% respectively as compared to current cropping pattern. The fuzzy composite distance improves by %36 compares to current condition and represents better cropping pattern than the others. Morever in this cropping pattern, conventional tillage method will be replaced by conservation tillage practices, therefore the amount of diesel fuel consumption reduces by 27% that is equivalent to an

Water impacts and water-climate goal conflicts of local energy choices - notes from a Swedish perspective

Science.gov (United States)

Ericsdotter Engström, Rebecka; Howells, Mark; Destouni, Georgia

2018-02-01

To meet both the Paris Agreement on Climate Change and the UN Sustainable Development Goals (SDGs), nations, sectors, counties and cities need to move towards a sustainable energy system in the next couple of decades. Such energy system transformations will impact water resources to varying extents, depending on the transformation strategy and fuel choices. Sweden is considered to be one of the most advanced countries towards meeting the SDGs. This paper explores the geographical origin of and the current water use associated with the supply of energy in the 21 regional counties of Sweden. These energy-related uses of water represent indirect, but still relevant, impacts for water management and the related SDG on clean water and sanitation (SDG 6). These indirect water impacts are here quantified and compared to reported quantifications of direct local water use, as well as to reported greenhouse gas (GHG) emissions, as one example of other types of environmental impacts of local energy choices in each county. For each county, an accounting model is set up based on data for the local energy use in year 2010, and the specific geographical origins and water use associated with these locally used energy carriers (fuels, heat and electricity) are further estimated and mapped based on data reported in the literature and open databases. Results show that most of the water use associated with the local Swedish energy use occurs outside of Sweden. Counties with large shares of liquid biofuel exhibit the largest associated indirect water use in regions outside of Sweden. This indirect water use for energy supply does not unambiguously correlate with either the local direct water use or the local GHG emissions, although for the latter, there is a tendency towards an inverse relation. Overall, the results imply that actions for mitigation of climate change by local energy choices may significantly affect water resources elsewhere. Swedish counties are thus important examples

Multi-fuel reformers for fuel cells used in transportation. Phase 1: Multi-fuel reformers

Science.gov (United States)

1994-05-01

DOE has established the goal, through the Fuel Cells in Transportation Program, of fostering the rapid development and commercialization of fuel cells as economic competitors for the internal combustion engine. Central to this goal is a safe feasible means of supplying hydrogen of the required purity to the vehicular fuel cell system. Two basic strategies are being considered: (1) on-board fuel processing whereby alternative fuels such as methanol, ethanol or natural gas stored on the vehicle undergo reformation and subsequent processing to produce hydrogen, and (2) on-board storage of pure hydrogen provided by stationary fuel processing plants. This report analyzes fuel processor technologies, types of fuel and fuel cell options for on-board reformation. As the Phase 1 of a multi-phased program to develop a prototype multi-fuel reformer system for a fuel cell powered vehicle, the objective of this program was to evaluate the feasibility of a multi-fuel reformer concept and to select a reforming technology for further development in the Phase 2 program, with the ultimate goal of integration with a DOE-designated fuel cell and vehicle configuration. The basic reformer processes examined in this study included catalytic steam reforming (SR), non-catalytic partial oxidation (POX) and catalytic partial oxidation (also known as Autothermal Reforming, or ATR). Fuels under consideration in this study included methanol, ethanol, and natural gas. A systematic evaluation of reforming technologies, fuels, and transportation fuel cell applications was conducted for the purpose of selecting a suitable multi-fuel processor for further development and demonstration in a transportation application.

An Empirical Evaluation of the Florida Tax Credit Scholarship Program. School Choice Issues in the State

Science.gov (United States)

Forster, Greg; D'Andrea, Christian

2009-01-01

This study examines the Florida Tax Credit Scholarship program, one of the nation's largest school choice programs. It is the first ever completed empirical evaluation of a tax-credit scholarship program, a type of program that creates school choice through the tax code. Earlier reports, including a recent one on the Florida program, have not…

Implementation of a goal programming model for solid waste management: a case study of Dar es Salaam – Tanzania

Directory of Open Access Journals (Sweden)

Lyeme Halidi Ally

2017-01-01

Full Text Available In this research article, the multi-objective optimization model for solid waste management problem is solved by the goal programming method. The model has three objectives: total cost minimization, minimization of final waste disposal to the landfill, and environmental impact minimization. First, the model is solved for the higher priority goal, and then its value is never allowed to deteriorate. The model is solved for the next priority goal and so on until the problem is solved. The model was tested with real data for solid waste management system from Dar es Salaam city. The results determine the best locations for recycling plants, separating plants, composting plants, incinerating plants, landfill and waste flow allocation between them. Furthermore, the solution shows a high reduction of the amount of waste to the landfill and greenhouse gas emissions by 78% and 57.5% respectively if fully implemented compared to the current system.

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

International Nuclear Information System (INIS)

San Cristóbal, José Ramón

2012-01-01

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

An Improvement for Fuzzy Stochastic Goal Programming Problems

Directory of Open Access Journals (Sweden)

Shu-Cheng Lin

2017-01-01

Full Text Available We examined the solution process for linear programming problems under a fuzzy and random environment to transform fuzzy stochastic goal programming problems into standard linear programming problems. A previous paper that revised the solution process with the lower-side attainment index motivated our work. In this paper, we worked on a revision for both-side attainment index to amend its definition and theorems. Two previous examples were used to examine and demonstrate our improvement over previous results. Our findings not only improve the previous paper with both-side attainment index, but also provide a theoretical extension from lower-side attainment index to the both-side attainment index.

The effectiveness of multi-component goal setting interventions for changing physical activity behaviour: a systematic review and meta-analysis.

Science.gov (United States)

McEwan, Desmond; Harden, Samantha M; Zumbo, Bruno D; Sylvester, Benjamin D; Kaulius, Megan; Ruissen, Geralyn R; Dowd, A Justine; Beauchamp, Mark R

2016-01-01

Drawing from goal setting theory (Latham & Locke, 1991; Locke & Latham, 2002; Locke et al., 1981), the purpose of this study was to conduct a systematic review and meta-analysis of multi-component goal setting interventions for changing physical activity (PA) behaviour. A literature search returned 41,038 potential articles. Included studies consisted of controlled experimental trials wherein participants in the intervention conditions set PA goals and their PA behaviour was compared to participants in a control group who did not set goals. A meta-analysis was ultimately carried out across 45 articles (comprising 52 interventions, 126 effect sizes, n = 5912) that met eligibility criteria using a random-effects model. Overall, a medium, positive effect (Cohen's d(SE) = .552(.06), 95% CI = .43-.67, Z = 9.03, p goal setting interventions in relation to PA behaviour was found. Moderator analyses across 20 variables revealed several noteworthy results with regard to features of the study, sample characteristics, PA goal content, and additional goal-related behaviour change techniques. In conclusion, multi-component goal setting interventions represent an effective method of fostering PA across a diverse range of populations and settings. Implications for effective goal setting interventions are discussed.

A Goal Programming Model for the Siting of Multilevel EMS Systems.

Science.gov (United States)

1980-03-01

Management," unpublished Ph.D. thesis, University of Texas, Austin, Texas, 1971. -23- (11) Daskin , M. and E. Stern, " A Multiobjective Set Covering...GOAL PROGRAM4MING MODEL FOR THE SITING OF MULTILEVEL EMS SYSTE-ETC(U) UNM1AR 80 A CHARNES, J E STORBECK N000iA-75-C-569 WICLASSIFIED CCS-366 N...366 A GOAL PROGRAMMING MODEL FOR THE SITING OF MULTILEVEL EMS SYSTEMS by A . Charnes J. Storbeck March 1980 This project was partially supported by

Explicit/multi-parametric model predictive control (MPC) of linear discrete-time systems by dynamic and multi-parametric programming

KAUST Repository

Kouramas, K.I.

2011-08-01

This work presents a new algorithm for solving the explicit/multi- parametric model predictive control (or mp-MPC) problem for linear, time-invariant discrete-time systems, based on dynamic programming and multi-parametric programming techniques. The algorithm features two key steps: (i) a dynamic programming step, in which the mp-MPC problem is decomposed into a set of smaller subproblems in which only the current control, state variables, and constraints are considered, and (ii) a multi-parametric programming step, in which each subproblem is solved as a convex multi-parametric programming problem, to derive the control variables as an explicit function of the states. The key feature of the proposed method is that it overcomes potential limitations of previous methods for solving multi-parametric programming problems with dynamic programming, such as the need for global optimization for each subproblem of the dynamic programming step. © 2011 Elsevier Ltd. All rights reserved.

Building Technologies Program Multi-Year Program Plan Research and Development 2008

Energy Technology Data Exchange (ETDEWEB)

None, None

2008-01-01

Building Technologies Program Multi-Year Program Plan 2008 for research and development, including residential and commercial integration, lighting, HVAC and water heating, envelope, windows, and analysis tools.

Mapping goal alignment of deployment programs for alternative fuel technologies: An analysis of wide-scope grant programs in the United States

International Nuclear Information System (INIS)

Sobin, Nathaniel; Molenaar, Keith; Cahill, Eric

2012-01-01

Governments have attempted to advance alternative fuels (AFs) in the on-road transportation sector with the goal of addressing multiple environmental, energy security, economic growth, and technology transition objectives. However there is little agreement, at all governmental levels, on how to prioritize goals and how to measure progress towards goals. Literature suggests that a consistent, aligned, and prioritized approach will increase the effectiveness of deployment efforts. While literature states that goal alignment and prioritization should occur, there are few studies suggesting how to measure the alignment of deployment programs. This paper presents a methodology for measuring goal alignment by applying the theories of goal ambiguity. It then demonstrates this methodology within the context of fuel- and project-neutral (wide-scope) grant programs directed toward AF deployment. This paper analyzes forty-seven (47) wide-scope federal, state, and regional grant programs in the United States, active between 2006 and 2011. On the whole, governments most use deployment grant programs to address environmental concerns and are highly aligned in doing so between agency levels. In contrast, there is much less consensus (and therefore goal alignment) on whether or how governments should address other priorities such as energy security, economic growth, and technology transition. - Highlights: ► Grants that deploy AFs most often address environmental goals and are highly aligned in doing so. ► Economic growth goals are most often addressed by federal AF deployment grant programs. ► Energy security goals are most often addressed by state and regional AF deployment grant programs. ► Technology transition goals are the least aligned when considering alignment across agencies.

Multi-attribute evaluation and choice of alternatives for surplus weapons-usable plutonium disposition at uncertainty

International Nuclear Information System (INIS)

Kosterev, V.V.; Bolyatko, V.V.; Khajretdinov, S.I.; Averkin, A.N.

2014-01-01

The problem of surplus weapons-usable plutonium disposition is formalized as a multi-attribute problem of a choice of alternatives from a set of possible alternatives under fuzzy conditions. Evaluation and ordering of alternatives for the surplus weapons-usable plutonium disposition and sensitivity analysis are carried out at uncertainty [ru

LP II--A GOAL PROGRAMMING MODEL FOR MEDIA.

Science.gov (United States)

CHARNES, A.; AND OTHERS

A GOAL PROGRAMING MODEL FOR SELECTING MEDIA IS PRESENTED WHICH ALTERS THE OBJECTIVE AND EXTENDS PREVIOUS MEDIA MODELS BY ACCOUNTING FOR CUMULATIVE DUPLICATING AUDIENCES OVER A VARIETY OF TIME PERIODS. THIS PERMITS DETAILED CONTROL OF THE DISTRIBUTION OF MESSAGE FREQUENCIES DIRECTED AT EACH OF NUMEROUS MARKETING TARGETS OVER A SEQUENCE OF…

The impact of the multi-channel retail mix on online store choice: Does online experience matter?

OpenAIRE

Melis, Kristina; Campo, Katia; Breugelmans, Els; Lamey, Lien

2015-01-01

More and more grocery retailers are becoming multi-channel retailers, as they are opening an online alternative next to their traditional offline supermarkets. While the number of multi-channel grocery shoppers is also expanding at a fast growth rate, there are still large differences in online shopping frequency, and as a result, in the levels of experience with buying in the online grocery channel. This study wants to (i) identify the underlying drivers of online store choice and (ii) explo...

Stochastic multi-period multi-product multi-objective Aggregate Production Planning model in multi-echelon supply chain

Directory of Open Access Journals (Sweden)

Kaveh Khalili-Damghani

2017-07-01

Full Text Available In this paper a multi-period multi-product multi-objective aggregate production planning (APP model is proposed for an uncertain multi-echelon supply chain considering financial risk, customer satisfaction, and human resource training. Three conflictive objective functions and several sets of real constraints are considered concurrently in the proposed APP model. Some parameters of the proposed model are assumed to be uncertain and handled through a two-stage stochastic programming (TSSP approach. The proposed TSSP is solved using three multi-objective solution procedures, i.e., the goal attainment technique, the modified ε-constraint method, and STEM method. The whole procedure is applied in an automotive resin and oil supply chain as a real case study wherein the efficacy and applicability of the proposed approaches are illustrated in comparison with existing experimental production planning method.

Models in cooperative game theory crisp, fuzzy, and multi-choice games

CERN Document Server

Branzei, Rodica; Tijs, Stef

2005-01-01

This book investigates models in cooperative game theory in which the players have the possibility to cooperate partially. In a crisp game the agents are either fully involved or not involved at all in coperation with some other agents, while in a fuzzy game players are allowed to cooperate with infinite many different participation levels, varying from non-cooperation to full cooperation. A multi-choice game describes the intermediate case in which each player may have a fixed number of activity levels. Different set and one-point solution concepts for these games are presented. The propertie

Solving a multi-objective location routing problem for infectious waste disposal using hybrid goal programming and hybrid genetic algorithm

Directory of Open Access Journals (Sweden)

Narong Wichapa

2018-01-01

Full Text Available Infectious waste disposal remains one of the most serious problems in the medical, social and environmental domains of almost every country. Selection of new suitable locations and finding the optimal set of transport routes for a fleet of vehicles to transport infectious waste material, location routing problem for infectious waste disposal, is one of the major problems in hazardous waste management. Determining locations for infectious waste disposal is a difficult and complex process, because it requires combining both intangible and tangible factors. Additionally, it depends on several criteria and various regulations. This facility location problem for infectious waste disposal is complicated, and it cannot be addressed using any stand-alone technique. Based on a case study, 107 hospitals and 6 candidate municipalities in Upper-Northeastern Thailand, we considered criteria such as infrastructure, geology and social & environmental criteria, evaluating global priority weights using the fuzzy analytical hierarchy process (Fuzzy AHP. After that, a new multi-objective facility location problem model which hybridizes fuzzy AHP and goal programming (GP, namely the HGP model, was tested. Finally, the vehicle routing problem (VRP for a case study was formulated, and it was tested using a hybrid genetic algorithm (HGA which hybridizes the push forward insertion heuristic (PFIH, genetic algorithm (GA and three local searches including 2-opt, insertion-move and interexchange-move. The results show that both the HGP and HGA can lead to select new suitable locations and to find the optimal set of transport routes for vehicles delivering infectious waste material. The novelty of the proposed methodologies, HGP, is the simultaneous combination of relevant factors that are difficult to interpret and cost factors in order to determine new suitable locations, and HGA can be applied to determine the transport routes which provide a minimum number of vehicles

Multi-choice stochastic transportation problem involving general form of distributions.

Science.gov (United States)

Quddoos, Abdul; Ull Hasan, Md Gulzar; Khalid, Mohammad Masood

2014-01-01

Many authors have presented studies of multi-choice stochastic transportation problem (MCSTP) where availability and demand parameters follow a particular probability distribution (such as exponential, weibull, cauchy or extreme value). In this paper an MCSTP is considered where availability and demand parameters follow general form of distribution and a generalized equivalent deterministic model (GMCSTP) of MCSTP is obtained. It is also shown that all previous models obtained by different authors can be deduced with the help of GMCSTP. MCSTP with pareto, power function or burr-XII distributions are also considered and equivalent deterministic models are obtained. To illustrate the proposed model two numerical examples are presented and solved using LINGO 13.0 software package.

Accelerating Research Impact in a Learning Health Care System: VA's Quality Enhancement Research Initiative in the Choice Act Era.

Science.gov (United States)

Kilbourne, Amy M; Elwy, A Rani; Sales, Anne E; Atkins, David

2017-07-01

Since 1998, the Veterans Health Administration (VHA) Quality Enhancement Research Initiative (QUERI) has supported more rapid implementation of research into clinical practice. With the passage of the Veterans Access, Choice and Accountability Act of 2014 (Choice Act), QUERI further evolved to support VHA's transformation into a Learning Health Care System by aligning science with clinical priority goals based on a strategic planning process and alignment of funding priorities with updated VHA priority goals in response to the Choice Act. QUERI updated its strategic goals in response to independent assessments mandated by the Choice Act that recommended VHA reduce variation in care by providing a clear path to implement best practices. Specifically, QUERI updated its application process to ensure its centers (Programs) focus on cross-cutting VHA priorities and specify roadmaps for implementation of research-informed practices across different settings. QUERI also increased funding for scientific evaluations of the Choice Act and other policies in response to Commission on Care recommendations. QUERI's national network of Programs deploys effective practices using implementation strategies across different settings. QUERI Choice Act evaluations informed the law's further implementation, setting the stage for additional rigorous national evaluations of other VHA programs and policies including community provider networks. Grounded in implementation science and evidence-based policy, QUERI serves as an example of how to operationalize core components of a Learning Health Care System, notably through rigorous evaluation and scientific testing of implementation strategies to ultimately reduce variation in quality and improve overall population health.

Multi-agent models of spatial cognition, learning and complex choice behavior in urban environments

NARCIS (Netherlands)

Arentze, Theo; Timmermans, Harry; Portugali, J.

2006-01-01

This chapter provides an overview of ongoing research projects in the DDSS research program at TUE related to multi-agents. Projects include (a) the use of multi-agent models and concepts of artificial intelligence to develop models of activity-travel behavior; (b) the use of a multi-agent model to

Menu variations for diabetes mellitus patients using Goal Programming model

Science.gov (United States)

Dhoruri, Atmini; Lestari, Dwi; Ratnasari, Eminugroho

2017-08-01

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

Multi-filter spectrophotometry simulations

Science.gov (United States)

Callaghan, Kim A. S.; Gibson, Brad K.; Hickson, Paul

1993-01-01

To complement both the multi-filter observations of quasar environments described in these proceedings, as well as the proposed UBC 2.7 m Liquid Mirror Telescope (LMT) redshift survey, we have initiated a program of simulated multi-filter spectrophotometry. The goal of this work, still very much in progress, is a better quantitative assessment of the multiband technique as a viable mechanism for obtaining useful redshift and morphological class information from large scale multi-filter surveys.

Water impacts and water-climate goal conflicts of local energy choices – notes from a Swedish perspective

Directory of Open Access Journals (Sweden)

R. E. Engström

2018-02-01

Full Text Available To meet both the Paris Agreement on Climate Change and the UN Sustainable Development Goals (SDGs, nations, sectors, counties and cities need to move towards a sustainable energy system in the next couple of decades. Such energy system transformations will impact water resources to varying extents, depending on the transformation strategy and fuel choices. Sweden is considered to be one of the most advanced countries towards meeting the SDGs. This paper explores the geographical origin of and the current water use associated with the supply of energy in the 21 regional counties of Sweden. These energy-related uses of water represent indirect, but still relevant, impacts for water management and the related SDG on clean water and sanitation (SDG 6. These indirect water impacts are here quantified and compared to reported quantifications of direct local water use, as well as to reported greenhouse gas (GHG emissions, as one example of other types of environmental impacts of local energy choices in each county. For each county, an accounting model is set up based on data for the local energy use in year 2010, and the specific geographical origins and water use associated with these locally used energy carriers (fuels, heat and electricity are further estimated and mapped based on data reported in the literature and open databases. Results show that most of the water use associated with the local Swedish energy use occurs outside of Sweden. Counties with large shares of liquid biofuel exhibit the largest associated indirect water use in regions outside of Sweden. This indirect water use for energy supply does not unambiguously correlate with either the local direct water use or the local GHG emissions, although for the latter, there is a tendency towards an inverse relation. Overall, the results imply that actions for mitigation of climate change by local energy choices may significantly affect water resources elsewhere. Swedish counties are thus

Multi-directional program efficiency

DEFF Research Database (Denmark)

Asmild, Mette; Balezentis, Tomas; Hougaard, Jens Leth

2016-01-01

The present paper analyses both managerial and program efficiencies of Lithuanian family farms, in the tradition of Charnes et al. (Manag Sci 27(6):668–697, 1981) but with the important difference that multi-directional efficiency analysis rather than the traditional data envelopment analysis...... approach is used to estimate efficiency. This enables a consideration of input-specific efficiencies. The study shows clear differences between the efficiency scores on the different inputs as well as between the farm types of crop, livestock and mixed farms respectively. We furthermore find that crop...... farms have the highest program efficiency, but the lowest managerial efficiency and that the mixed farms have the lowest program efficiency (yet not the highest managerial efficiency)....

The SEEK Mentoring Program: An Application of the Goal-Setting Theory

Science.gov (United States)

Sorrentino, Diane M.

2007-01-01

This article describes a pilot academic mentoring program carried out over 1 semester in the SEEK Program at the College of Staten Island, CUNY. The program was utilized to provide a resource for students whose overall grade point average was below 2.5, placing them at risk for academic dismissal. A goal-setting approach was used to aid the…

GOAL PROGRAMMING: OPTIMALISASI KONSUMSI PANGAN BALITA PADA KELUARGA NELAYAN

Directory of Open Access Journals (Sweden)

Ikeu Tanziha

2012-03-01

Full Text Available 800x600 Normal 0 false false false IN X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} The objective of the study was to analyze food consumption optimalization for children under five years in poor families. The study design was a cross-sectional study.  Research was conducted in Grogol village, in the Gunung Jati sub district, Cirebon. Respondents were all households that have lived in that  village for under five years.  The data collected include socio economic and demographic data, food expenditure and food intake. An Individual energy adequacy level was calculated by comparing actual intake to RDA (Recommended Dietary Allowances. The goal programming method was applied to analyze food consumption optimalization. The results showed that there are 23 food types for consumption in combination for one week. Per capita food expenditure is Rp 4,194.- with Q1 as a lower level and Q3 as an upper level.  Goal programming is the solution giving adequate  energy and protein levels between 90-110%, and > 77% for vitamins and minerals. Keywords: goal programming, food consumption optimalization

Testing Object-Oriented Programs using Dynamic Aspects and Non-Determinism

DEFF Research Database (Denmark)

Achenbach, Michael; Ostermann, Klaus

2010-01-01

decisions exposing private data. We present an approach that both improves the expressiveness of test cases using non-deterministic choice and reduces design modifications using dynamic aspect-oriented programming techniques. Non-deterministic choice facilitates local definitions of multiple executions...... without parameterization or generation of tests. It also eases modelling naturally non-deterministic program features like IO or multi-threading in integration tests. Dynamic AOP facilitates powerful design adaptations without exposing test features, keeping the scope of these adaptations local to each...... test. We also combine non-determinism and dynamic aspects in a new approach to testing multi-threaded programs using co-routines....

Value-based choice: An integrative, neuroscience-informed model of health goals.

Science.gov (United States)

Berkman, Elliot T

2018-01-01

Traditional models of health behaviour focus on the roles of cognitive, personality and social-cognitive constructs (e.g. executive function, grit, self-efficacy), and give less attention to the process by which these constructs interact in the moment that a health-relevant choice is made. Health psychology needs a process-focused account of how various factors are integrated to produce the decisions that determine health behaviour. I present an integrative value-based choice model of health behaviour, which characterises the mechanism by which a variety of factors come together to determine behaviour. This model imports knowledge from research on behavioural economics and neuroscience about how choices are made to the study of health behaviour, and uses that knowledge to generate novel predictions about how to change health behaviour. I describe anomalies in value-based choice that can be exploited for health promotion, and review neuroimaging evidence about the involvement of midline dopamine structures in tracking and integrating value-related information during choice. I highlight how this knowledge can bring insights to health psychology using illustrative case of healthy eating. Value-based choice is a viable model for health behaviour and opens new avenues for mechanism-focused intervention.

75 FR 11553 - Final Fair Market Rents for the Housing Choice Voucher Program and Moderate Rehabilitation Single...

Science.gov (United States)

2010-03-11

... provided on the same website noted above. Any questions related to use of FMRs or voucher payment standards... the Housing Choice Voucher Program and Moderate Rehabilitation Single Room Occupancy Program for... County, ND. Both areas were having significant problems administering the Housing Choice Voucher program...

Performance improvement of developed program by using multi-thread technique

Directory of Open Access Journals (Sweden)

Surasak Jabal

2015-03-01

Full Text Available This research presented how to use a multi-thread programming technique to improve the performance of a program written by Windows Presentation Foundation (WPF. The Computer Assisted Instruction (CAI software, named GAME24, was selected to use as a case study. This study composed of two main parts. The first part was about design and modification of the program structure upon the Object Oriented Programing (OOP approach. The second part was about coding the program using the multi-thread technique which the number of threads were based on the calculated Catalan number. The result showed that the multi-thread programming technique increased the performance of the program 44%-88% compared to the single-thread technique. In addition, it has been found that the number of cores in the CPU also increase the performance of multithreaded program proportionally.

Don't You Want to Do Better? Implementing a Goal-Setting Intervention in an Afterschool Program

Science.gov (United States)

Hallenbeck, Amy; Fleming, David

2011-01-01

Goal setting is not an innate skill. Adults who are successful at reaching their goals have learned to set realistic goals and to plan to attain them. Afterschool programs, because they have latitude in their curricular offerings and program elements, can provide strong backdrops for goal-setting initiatives. While studies have shown that goal…

Goal Definition

DEFF Research Database (Denmark)

Bjørn, Anders; Laurent, Alexis; Owsianiak, Mikołaj

2018-01-01

The goal definition is the first phase of an LCA and determines the purpose of a study in detail. This chapter teaches how to perform the six aspects of a goal definition: (1) Intended applications of the results, (2) Limitations due to methodological choices, (3) Decision context and reasons...... for carrying out the study, (4) Target audience , (5) Comparative studies to be disclosed to the public and (6) Commissioner of the study and other influential actors. The instructions address both the conduct and reporting of a goal definition and are largely based on the ILCD guidance document (EC...

Solving cyclical nurse scheduling problem using preemptive goal programming

Science.gov (United States)

Sundari, V. E.; Mardiyati, S.

2017-07-01

Nurse scheduling system in a hospital is being modeled as a preemptive goal programming problem that is solved by using LINGO software with the objective function to minimize deviation variable at each goal. The scheduling is done cyclically, so every nurse is treated fairly since they have the same work shift portion with the other nurses. By paying attention to the hospital's rules regarding nursing work shift cyclically, it can be obtained that numbers of nurse needed in every ward are 18 nurses and the numbers of scheduling periods are 18 periods where every period consists of 21 days.

Single Cell and Metagenomic Assemblies: Biology Drives Technical Choices and Goals (Metagenomics Informatics Challenges Workshop: 10K Genomes at a Time)

Energy Technology Data Exchange (ETDEWEB)

Stepanauskas, Ramunas

2011-10-13

DOE JGI's Tanja Woyke, chair of the Single Cells and Metagenomes session, delivers an introduction, followed by Bigelow Laboratory's Ramunas Stepanauskas on "Single Cell and Metagenomic Assemblies: Biology Drives Technical Choices and Goals" at the Metagenomics Informatics Challenges Workshop held at the DOE JGI on October 12-13, 2011.

Effects of Career Choice Intervention on Components of Career Preparation

Science.gov (United States)

Koivisto, Petri; Vinokur, Amiram D.; Vuori, Jukka

2011-01-01

This randomized experimental study (N = 1,034) examines both the direct and the indirect effects of the Towards Working Life intervention on 2 components of adolescents' career preparation: preparedness for career choice and attitude toward career planning. The intervention comprised a 1-week workshop program, the proximal goals of which were to…

VARIABLES THAT INFLUENCE STUDENTS’ CHOICE OF DISTANCE EDUCATION LATO SENSU GRADUATE BUSINESS PROGRAMS

Directory of Open Access Journals (Sweden)

Eduardo Mendes Nascimento

2014-03-01

Full Text Available Based on Scriven’s User-Focused Evaluation Theory, the general objective in this study was to identify and analyze the degree of importance Brazilian students attribute to the variables that influence them when choosing distance education lato sensu graduate business programs. The research is classified as descriptive and an electronic questionnaire was used to survey the data, involving 354 students from distance education lato sensu graduate business programs distributed across different Brazilian locations. The questionnaire included 16 variables, which the students were expected to score from 0 to 10. The results indicated that 04 variables obtained a mean score superior to 9, and that flexibility was the main factor the respondents considered in the choice of a distance education program. This evidences that the possibility to structure the program according to their available time is fundamental for the students. Nevertheless, having a trained teaching staff (second most influential variable and a curriculum appropriate to their pedagogical needs (fourth are also essential characteristics. Finally, the respondents indicated the cost as the third most important variable. Some authors even consider it decisive in the students’ choice as distance education programs are frequently cheaper than in-class programs. In addition, it was verified that women score the investigated internal variables higher than men. In addition, the location of the support hub appeared as a determinant variable in the choice of the program.

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

African Journals Online (AJOL)

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

Diet models with linear goal programming: impact of achievement functions.

Science.gov (United States)

Gerdessen, J C; de Vries, J H M

2015-11-01

Diet models based on goal programming (GP) are valuable tools in designing diets that comply with nutritional, palatability and cost constraints. Results derived from GP models are usually very sensitive to the type of achievement function that is chosen.This paper aims to provide a methodological insight into several achievement functions. It describes the extended GP (EGP) achievement function, which enables the decision maker to use either a MinSum achievement function (which minimizes the sum of the unwanted deviations) or a MinMax achievement function (which minimizes the largest unwanted deviation), or a compromise between both. An additional advantage of EGP models is that from one set of data and weights multiple solutions can be obtained. We use small numerical examples to illustrate the 'mechanics' of achievement functions. Then, the EGP achievement function is demonstrated on a diet problem with 144 foods, 19 nutrients and several types of palatability constraints, in which the nutritional constraints are modeled with fuzzy sets. Choice of achievement function affects the results of diet models. MinSum achievement functions can give rise to solutions that are sensitive to weight changes, and that pile all unwanted deviations on a limited number of nutritional constraints. MinMax achievement functions spread the unwanted deviations as evenly as possible, but may create many (small) deviations. EGP comprises both types of achievement functions, as well as compromises between them. It can thus, from one data set, find a range of solutions with various properties.

Multi-objective convex programming problem arising in multivariate ...

African Journals Online (AJOL)

user

Multi-objective convex programming problem arising in ... However, although the consideration of multiple objectives may seem a novel concept, virtually any nontrivial ..... Solving multiobjective programming problems by discrete optimization.

Belief Revision in the GOAL Agent Programming Language

DEFF Research Database (Denmark)

Spurkeland, Johannes Svante; Jensen, Andreas Schmidt; Villadsen, Jørgen

2013-01-01

Agents in a multiagent system may in many cases find themselves in situations where inconsistencies arise. In order to properly deal with these, a good belief revision procedure is required. This paper illustrates the usefulness of such a procedure: a certain belief revision algorithm is consider...... in order to deal with inconsistencies and, particularly, the issue of inconsistencies, and belief revision is examined in relation to the GOAL agent programming language....

MULTI-CRITERIA PROGRAMMING METHODS AND PRODUCTION PLAN OPTIMIZATION PROBLEM SOLVING IN METAL INDUSTRY

OpenAIRE

Tunjo Perić; Željko Mandić

2017-01-01

This paper presents the production plan optimization in the metal industry considered as a multi-criteria programming problem. We first provided the definition of the multi-criteria programming problem and classification of the multicriteria programming methods. Then we applied two multi-criteria programming methods (the STEM method and the PROMETHEE method) in solving a problem of multi-criteria optimization production plan in a company from the metal industry. The obtained resul...

Reviving Magnet Schools: Strengthening a Successful Choice Option. A Research Brief

Science.gov (United States)

Siegel-Hawley, Genevieve; Frankenberg, Erica

2012-01-01

Magnet schools make up the largest system of choice in the U.S. They were originally conceived to accomplish the twin goals of innovation and integration. Over the years, however, the integrative mission of magnet programs has somewhat receded, particularly during the second Bush Administration. Meanwhile, political and financial support has…

34 CFR 675.34 - Multi-Institutional job location and development programs.

Science.gov (United States)

2010-07-01

... 34 Education 3 2010-07-01 2010-07-01 false Multi-Institutional job location and development... Location and Development Program § 675.34 Multi-Institutional job location and development programs. (a) An... location programs for its students with other participating institutions. (b) The agreement described in...

Natural Gas Strategic Plan and Multi-Year Program Crosscut Plan, FY 1994--1999

Energy Technology Data Exchange (ETDEWEB)

1993-12-01

DOE has established a Natural Gas Coordinating Committee to ensure that all natural gas programs are conducted with a single strategic focus and without unnecessary duplication. This group prepared the FY 1993 update of the DOE Natural Gas Strategic Plan and Multi-Year Crosscut Program Plan (FY 1993-1998), which was first produced a year ago as a ``working draft`` for industry comment. This revised version incorporates these external comments and the results and recommendations of such developments as Order No. 636 of the Federal Energy Regulatory Commission (FERC), the FERC/DOE Natural Gas Deliverability Task Force Report; the National Petroleum Council`s 1992 natural gas study, The Potential for Natural Gas in the United States; relevant provisions of the EPACT, and new policy guidance from the Clinton Administration. The overall goal of the Natural Gas RD&D Program is to improve the Nation`s ability to supply, store, transport, distribute, and utilize gas in an economically efficient and environmentally beneficial manner. In support of DOE`s missions are programs that will: improve the confidence in the continued availability of a long-term gas supply (Resource and Extraction Area); provide more cost-effective and competitive means to use natural gas in both new and existing markets (Utilization Area); develop improved and less costly means of delivering and storing gas (Delivery and Storage Area); and develop and ensure availability of low cost environmental compliance technology, and reduce regulatory barriers to efficient market operations by promoting coordinated, efficient, and innovative Federal and State regulations (Environmental/Regulatory Impact Area). Each program area has its own unique mission that contributes to the goals and mission of the overall Natural Gas Program.

Evolutionary programming for goal-driven dynamic planning

Science.gov (United States)

Vaccaro, James M.; Guest, Clark C.; Ross, David O.

2002-03-01

Many complex artificial intelligence (IA) problems are goal- driven in nature and the opportunity exists to realize the benefits of a goal-oriented solution. In many cases, such as in command and control, a goal-oriented approach may be the only option. One of many appropriate applications for such an approach is War Gaming. War Gaming is an important tool for command and control because it provides a set of alternative courses of actions so that military leaders can contemplate their next move in the battlefield. For instance, when making decisions that save lives, it is necessary to completely understand the consequences of a given order. A goal-oriented approach provides a slowly evolving tractably reasoned solution that inherently follows one of the principles of war: namely concentration on the objective. Future decision-making will depend not only on the battlefield, but also on a virtual world where military leaders can wage wars and determine their options by playing computer war games much like the real world. The problem with these games is that the built-in AI does not learn nor adapt and many times cheats, because the intelligent player has access to all the information, while the user has access to limited information provided on a display. These games are written for the purpose of entertainment and actions are calculated a priori and off-line, and are made prior or during their development. With these games getting more sophisticated in structure and less domain specific in scope, there needs to be a more general intelligent player that can adapt and learn in case the battlefield situations or the rules of engagement change. One such war game that might be considered is Risk. Risk incorporates the principles of war, is a top-down scalable model, and provides a good application for testing a variety of goal- oriented AI approaches. By integrating a goal-oriented hybrid approach, one can develop a program that plays the Risk game effectively and move

Multi-level programming paradigm for extreme computing

International Nuclear Information System (INIS)

Petiton, S.; Sato, M.; Emad, N.; Calvin, C.; Tsuji, M.; Dandouna, M.

2013-01-01

In order to propose a framework and programming paradigms for post peta-scale computing, on the road to exa-scale computing and beyond, we introduced new languages, associated with a hierarchical multi-level programming paradigm, allowing scientific end-users and developers to program highly hierarchical architectures designed for extreme computing. In this paper, we explain the interest of such hierarchical multi-level programming paradigm for extreme computing and its well adaptation to several large computational science applications, such as for linear algebra solvers used for reactor core physic. We describe the YML language and framework allowing describing graphs of parallel components, which may be developed using PGAS-like language such as XMP, scheduled and computed on supercomputers. Then, we propose experimentations on supercomputers (such as the 'K' and 'Hooper' ones) of the hybrid method MERAM (Multiple Explicitly Restarted Arnoldi Method) as a case study for iterative methods manipulating sparse matrices, and the block Gauss-Jordan method as a case study for direct method manipulating dense matrices. We conclude proposing evolutions for this programming paradigm. (authors)

A Multi-faceted Mentoring Program for Junior Faculty in Academic Pediatrics

Science.gov (United States)

Chen, Mary M.; Sandborg, Christy I.; Hudgins, Louanne; Sanford, Rania; Bachrach, Laura K.

2016-01-01

Problem The departure of physician-scientists from education and research into clinical practice is a growing challenge for the future of academic medicine. Junior faculty face competing demands for clinical productivity, teaching, research and work-life integration which can undermine confidence in the value of an academic career. Mentorship is important to foster career development and satisfaction in junior faculty. Intervention The goals of this academic pediatrics department were to develop, implement, and evaluate a multi-faceted pediatric mentoring program to promote retention and satisfaction of junior faculty. Program elements included one-on-one mentor-mentee meetings, didactic workshops, grant review assistance, and facilitated peer-group mentoring. Program effectiveness was assessed using annual surveys of mentees, structured mentee exit interviews as well as retention data for assistant professors. Context The mentees were Instructors and Assistant Professors in the department of pediatrics Outcome Seventy-nine mentees participated in the program from 2007 through 2014. The response rate from seven annual surveys was 84%. Sixty-nine percent of mentees felt more prepared to advance their careers, 81% had a better understanding of the criteria for advancement, 84% were satisfied with the program, and 95% found mentors accessible. Mentees who exited the program reported they most valued the one-on-one mentoring and viewed the experience positively regardless of promotion. Retention of Assistant Professors improved after initiation of the program; 4 of 13 hired from 2002–2006 left the institution whereas 18 of 18 hired from 2007–2014 were retained. Lessons Learned This multi-faceted mentoring program appeared to bolster satisfaction and enhance retention of junior pediatric faculty. Mentees reported increased understanding of the criteria for promotion and viewed the program as a positive experience regardless of career path. Individual mentor

Explicit/multi-parametric model predictive control (MPC) of linear discrete-time systems by dynamic and multi-parametric programming

KAUST Repository

Kouramas, K.I.; Faí sca, N.P.; Panos, C.; Pistikopoulos, E.N.

2011-01-01

This work presents a new algorithm for solving the explicit/multi- parametric model predictive control (or mp-MPC) problem for linear, time-invariant discrete-time systems, based on dynamic programming and multi-parametric programming techniques

Multi-vendor loyalty programs: influencing customer behavioral loyalty?

Directory of Open Access Journals (Sweden)

Teresa eVillacé-Molinero

2016-02-01

Full Text Available Loyalty programs are a consolidated marketing instrument whose adoption in many sectors has not been associated with appropriate comprehension of either their management elements or their effects. The purpose of this research is to contribute to knowledge about the effect of loyalty programs on repeat purchase behavior. More specifically, it seeks to see discover whether joining a program changes the buying behavior of its members, and, if so, to study the profile of those whose behavior changes most. The intention was also to provide new study variables pertaining to multi-vendor loyalty programs, such as where they are joined or purchases in associated outlets as a result of behavioral loyalty. Research was carried out using a sample of 1,200 individuals (31,746 purchases belonging to a multi-vendor loyalty program. The study period was 13 years, 4 months, and split into two phases: before and after the joining the program. Different methodological approaches, such as the use of transactional databases that included pre-program-enrollment data and of the same sampling units throughout the study, were incorporated into the research with the aim of advancing academic knowledge regarding multi-vendor loyalty programs. Moreover, a type of program and market hardly dealt with in the relevant literature was analyzed. The results showed while the loyalty program had managed to reduce the time between purchases, it had not affected purchase volume or average expenditure. They also demonstrated the existence of a differential profile of customers who had changed their buying behavior to a greater extent. Finally, recency was identified as being the decisive variable in behavioral change.

Multi-Vendor Loyalty Programs: Influencing Customer Behavioral Loyalty?

Science.gov (United States)

Villacé-Molinero, Teresa; Reinares-Lara, Pedro; Reinares-Lara, Eva

2016-01-01

Loyalty programs are a consolidated marketing instrument whose adoption in many sectors has not been associated with appropriate comprehension of either their management elements or their effects. The purpose of this research is to contribute to knowledge about the effect of loyalty programs on repeat purchase behavior. More specifically, it seeks to discover whether joining a program changes the buying behavior of its members, and, if so, to study the profile of those whose behavior changes most. The intention was also to provide new study variables pertaining to multi-vendor loyalty programs, such as where they are joined or purchases in associated outlets as a result of behavioral loyalty. Research was carried out using a sample of 1200 individuals (31,746 purchases) belonging to a multi-vendor loyalty program. The study period was 13 years, 4 months, and split into two phases: before and after the joining the program. Different methodological approaches, such as the use of transactional databases that included pre-program-enrollment data and of the same sampling units throughout the study, were incorporated into the research with the aim of advancing academic knowledge regarding multi-vendor loyalty programs. Moreover, a type of program and market hardly dealt with in the relevant literature was analyzed. The results showed while the loyalty program had managed to reduce the time between purchases, it had not affected purchase volume or average expenditure. They also demonstrated the existence of a differential profile of customers who had changed their buying behavior to a greater extent. Finally, recency was identified as being the decisive variable in behavioral change.

Multi-Vendor Loyalty Programs: Influencing Customer Behavioral Loyalty?

Science.gov (United States)

Villacé-Molinero, Teresa; Reinares-Lara, Pedro; Reinares-Lara, Eva

2016-01-01

Loyalty programs are a consolidated marketing instrument whose adoption in many sectors has not been associated with appropriate comprehension of either their management elements or their effects. The purpose of this research is to contribute to knowledge about the effect of loyalty programs on repeat purchase behavior. More specifically, it seeks to discover whether joining a program changes the buying behavior of its members, and, if so, to study the profile of those whose behavior changes most. The intention was also to provide new study variables pertaining to multi-vendor loyalty programs, such as where they are joined or purchases in associated outlets as a result of behavioral loyalty. Research was carried out using a sample of 1200 individuals (31,746 purchases) belonging to a multi-vendor loyalty program. The study period was 13 years, 4 months, and split into two phases: before and after the joining the program. Different methodological approaches, such as the use of transactional databases that included pre-program-enrollment data and of the same sampling units throughout the study, were incorporated into the research with the aim of advancing academic knowledge regarding multi-vendor loyalty programs. Moreover, a type of program and market hardly dealt with in the relevant literature was analyzed. The results showed while the loyalty program had managed to reduce the time between purchases, it had not affected purchase volume or average expenditure. They also demonstrated the existence of a differential profile of customers who had changed their buying behavior to a greater extent. Finally, recency was identified as being the decisive variable in behavioral change. PMID:26941677

From Single- to Multi-Objective Auto-Tuning of Programs: Advantages and Implications

Directory of Open Access Journals (Sweden)

Juan Durillo

2014-01-01

Full Text Available Automatic tuning (auto-tuning of software has emerged in recent years as a promising method that tries to automatically adapt the behaviour of a program to attain different performance objectives on a given computing system. This method is gaining momentum due to the increasing complexity of modern multicore-based hardware architectures. Many solutions to auto-tuning have been explored ranging from simple random search to more sophisticate methods like machine learning or evolutionary search. To this day, it is still unclear whether these approaches are general enough to encompass all the complexities of the problem (e.g. search space, parameters influencing the search space, input data sensitivity, etc., or which approach is best suited for a given problem. Furthermore, the growing interest in auto-tuning a program for several objectives is increasing this confusion even further. The goal of this paper is to formally describe the problem addressed by auto-tuning programs and review existing solutions highlighting the advantages and drawbacks of different techniques for single-objective as well as multi-objective auto-tuning approaches.

A Nationally Scaled Telebehavioral Health Program for Chronic Pain: Characteristics, Goals, and Psychological Outcomes.

Science.gov (United States)

Mochari-Greenberger, Heidi; Peters, Aimee; Vue, Lee; Pande, Reena L

2017-08-01

Millions of U.S. adults suffer from chronic pain with a high prevalence of comorbid mental health issues. Telehealth-delivered behavioral therapy for chronic pain has been evaluated in the research setting. The purpose of this study was 1) to describe a nationally scaled, standardized, telebehavioral therapy program for patients with chronic pain and behavioral comorbidities, and 2) evaluate characteristics, goals, and psychosocial outcomes among program participants. This was mixed-methods retrospective cohort analysis among consecutive program graduates (mean age 53y; 24% male). The 8-week program was delivered by a licensed therapist and a behavior coach through telephone/secure video and tailored to each participant's behavioral health needs and goals. Participant chief complaints, behavioral goals, and mood triggers were abstracted by deidentified clinical record review using structured qualitative research methods. Depression, anxiety, and stress symptom data were collected at baseline and program graduation using the validated Depression Anxiety Stress Scales 21. Back pain (42%) and hip/leg/knee pain (28%) comprised the most common chief complaints. Pain management (44%) and weight loss (43%) were the most frequently cited goals. At baseline, approximately half of participants had elevated depression (59%), anxiety (54%), and/or stress (48%) scores. Triggers for depressed, anxious, or stressed mood included severe pain (47%), health concerns (46%), and interpersonal relationship challenges (45%). At graduation, significant improvement in median depression (-54%), anxiety (-50%), and stress (-33%) symptom scores was observed among those with non-normal baseline values (p health program for chronic pain experienced significant improvement in depression, anxiety, and stress symptoms and shared several complaints, goals, and mood triggers.

Payment card rewards programs and consumer payment choice

OpenAIRE

Andrew Ching; Fumiko Hayashi

2006-01-01

Card payments have been growing very rapidly. To continue the growth, payment card networks keep adding new merchants and card issuers try to stimulate their existing customers’ card usage by providing rewards. This paper seeks to analyze the effects of payment card rewards programs on consumer payment choice, by using consumer survey data. Specifically, we examine whether credit/debit reward receivers use credit/debit cards relatively more often than other consumers, if so how much more ofte...

A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries

International Nuclear Information System (INIS)

Jayaraman, Raja; Colapinto, Cinzia; La Torre, Davide; Malik, Tufail

2017-01-01

Highlights: • Application of multi-criteria optimization model for sustainable development. • GHG emissions targets cannot be attainable due to reliance on hydrocarbon sources. • Provides quantitative evidence for future investments in green energy. • Application to Gulf Cooperation Countries. - Abstract: The United Nations agenda for sustainable development by the year 2030 proposes 17 sustainable development goals which include access to affordable, reliable and clean energy, sustained economic growth with full productive employment and, urgent action to mitigate environmental degradation. Planning for sustainable development requires integrating conflicting criteria on economy, energy, environment and social aspects. In this paper, we introduce a Weighted Goal Programming model involving criteria on the economic development (GDP), the electricity consumption, the greenhouse gas emissions, and the total number of employees to determine optimal labor allocation across various economic sectors. The proposed model is validated with data from the six members of the Gulf Cooperation Council (namely Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates). The results of the model aim to provide empirical evidence and insights to decision makers and policy analysts in developing optimal strategies able to simultaneously satisfy energy demand, economic growth, labor development and reduction in greenhouse gas emissions to achieve sustainability targets by the year 2030.

Implementing a Multi-Agent System in Python

DEFF Research Database (Denmark)

Ettienne, Mikko Berggren; Vester, Steen; Villadsen, Jørgen

2012-01-01

We describe the solution used by the Python-DTU team in the Multi-Agent Programming Contest 2011, where the scenario was called Agents on Mars. We present our auction-based agreement, area controlling and pathfinding algorithms and discuss our chosen strategy and our choice of technology used...

RIO: a program to determine reliability importance and allocate optimal reliability goals

International Nuclear Information System (INIS)

Poloski, J.P.

1978-09-01

The designer of a nuclear plant must know the plant's associated risk limitations so that he can design the plant accordingly. To design a safety system, he must understand its importance and how it relates to the overall plant risk. The computer program RIO can aid the designer to understand a system's contribution to the plant's overall risk. The methodology developed and presented was sponsored by the Nuclear Research Applications Division of the Department of Energy for use in the Gas Cooled Fast Breeder Reactor (GCFR) Program. The principal motivation behind its development was the need to translate nuclear plants safety goals into reliability goals for systems which make up that plant. The method described herein will make use of the GCFR Accident Initiation and Progression Analyses (AIPA) event trees and other models in order to determine these reliability goals

Taking Stock of Private-School Choice: Scholars Review the Research on Statewide Programs

Science.gov (United States)

Wolf, Patrick J.; Harris, Douglas N.; Berends, Mark; Waddington, R. Joseph; Austin, Megan

2018-01-01

In the past few years, four states have established programs that provide public financial support to students who choose to attend a private school. These programs--a tax-credit-funded scholarship initiative in Florida and voucher programs in Indiana, Louisiana, and Ohio--offer a glimpse of what expansive statewide choice might look like. What…

Bonsai trees in your head: how the pavlovian system sculpts goal-directed choices by pruning decision trees.

Directory of Open Access Journals (Sweden)

Quentin J M Huys

Full Text Available When planning a series of actions, it is usually infeasible to consider all potential future sequences; instead, one must prune the decision tree. Provably optimal pruning is, however, still computationally ruinous and the specific approximations humans employ remain unknown. We designed a new sequential reinforcement-based task and showed that human subjects adopted a simple pruning strategy: during mental evaluation of a sequence of choices, they curtailed any further evaluation of a sequence as soon as they encountered a large loss. This pruning strategy was Pavlovian: it was reflexively evoked by large losses and persisted even when overwhelmingly counterproductive. It was also evident above and beyond loss aversion. We found that the tendency towards Pavlovian pruning was selectively predicted by the degree to which subjects exhibited sub-clinical mood disturbance, in accordance with theories that ascribe Pavlovian behavioural inhibition, via serotonin, a role in mood disorders. We conclude that Pavlovian behavioural inhibition shapes highly flexible, goal-directed choices in a manner that may be important for theories of decision-making in mood disorders.

INDICATORS FOR DIGITALIZATION OF SUSTAINABLE DEVELOPMENT GOALS IN PEEX PROGRAM

Directory of Open Access Journals (Sweden)

Sergey N. Bobylev

2018-01-01

Full Text Available This article describes the Pan-Eurasian Experiment (PEEX program and indicators for monitoring of implementation and digitalization of Sustainable Development Goals (SDG inRussia, especially environmental goals. The authors considered the possibility of integration and identification of the methodological approaches of the socio-economic research to environmental sciences. Paper gives insights into the international framework of the United nations, addreses several relevant indicators to be monitored in a Russian perspective and summarizes shortly the status of the monitoring activities and provide an overview on the main tasks for the upcoming years to reach the sustainable development goals established by the United Nations. The tasks to which the Goals divided are considered in detail. The indicators of Russian statistics that can be used to monitor the implementation of these tasks are determined. It is shown, that more detailed regional analysis and new data is needed in order to quantify the feedbackloops.

Multi-muscle FES force control of the human arm for arbitrary goals.

Science.gov (United States)

Schearer, Eric M; Liao, Yu-Wei; Perreault, Eric J; Tresch, Matthew C; Memberg, William D; Kirsch, Robert F; Lynch, Kevin M

2014-05-01

We present a method for controlling a neuroprosthesis for a paralyzed human arm using functional electrical stimulation (FES) and characterize the errors of the controller. The subject has surgically implanted electrodes for stimulating muscles in her shoulder and arm. Using input/output data, a model mapping muscle stimulations to isometric endpoint forces measured at the subject's hand was identified. We inverted the model of this redundant and coupled multiple-input multiple-output system by minimizing muscle activations and used this inverse for feedforward control. The magnitude of the total root mean square error over a grid in the volume of achievable isometric endpoint force targets was 11% of the total range of achievable forces. Major sources of error were random error due to trial-to-trial variability and model bias due to nonstationary system properties. Because the muscles working collectively are the actuators of the skeletal system, the quantification of errors in force control guides designs of motion controllers for multi-joint, multi-muscle FES systems that can achieve arbitrary goals.

Building Technologies Program Multi-Year Program Plan Technology Validation and Market Introduction 2008

Energy Technology Data Exchange (ETDEWEB)

None, None

2008-01-01

Building Technologies Program Multi-Year Program Plan 2008 for technology validation and market introduction, including ENERGY STAR, building energy codes, technology transfer application centers, commercial lighting initiative, EnergySmart Schools, EnergySmar

SOLUTION OF A MULTIVARIATE STRATIFIED SAMPLING PROBLEM THROUGH CHEBYSHEV GOAL PROGRAMMING

Directory of Open Access Journals (Sweden)

Mohd. Vaseem Ismail

2010-12-01

Full Text Available In this paper, we consider the problem of minimizing the variances for the various characters with fixed (given budget. Each convex objective function is first linearised at its minimal point where it meets the linear cost constraint. The resulting multiobjective linear programming problem is then solved by Chebyshev goal programming. A numerical example is given to illustrate the procedure.

Oil sands mine planning and waste management using goal programming

Energy Technology Data Exchange (ETDEWEB)

Ben-Awuah, E.; Askari-Nasab, H. [Alberta Univ., Edmonton, AB (Canada). Dept. of Civil and Environmental Engineering; Alberta Univ., Edmonton, AB (Canada). Mining Optimization Laboratory

2010-07-01

A goal programming method was used to plan waste management processes at an oil sands mine. This method requires the decision maker (DM) to set goals. Mine planning is used to determine a block extraction schedule that maximizes net present value (NPV). Due to land restrictions, tailings facilities are sited within the pit area and dykes are used to contain the tailings. Many of the materials used to construct the dykes come from the mining operation. The mine plan scheduled both ore and dyke material concurrently. Dykes were constructed simultaneously as the mine phase advanced. A model was used to classify an oil sands block model into different material types. A mixed integer goal programming (MIGP) method was used to generate a strategic schedule. Block clustering techniques were used to large-scale mine planning projects. The method was used to verify and validate synthetic and real case data related to the cost of mining all material as waste, and the extra cost of mining dyke material. A case study of an oil sands project was used to demonstrate the method. The study showed that the developed model generates a smooth and uniform strategic schedule for large-scale mine planning projects. tabs., figs.

Oil sands mine planning and waste management using goal programming

International Nuclear Information System (INIS)

Ben-Awuah, E.; Askari-Nasab, H.; Alberta Univ., Edmonton, AB

2010-01-01

A goal programming method was used to plan waste management processes at an oil sands mine. This method requires the decision maker (DM) to set goals. Mine planning is used to determine a block extraction schedule that maximizes net present value (NPV). Due to land restrictions, tailings facilities are sited within the pit area and dykes are used to contain the tailings. Many of the materials used to construct the dykes come from the mining operation. The mine plan scheduled both ore and dyke material concurrently. Dykes were constructed simultaneously as the mine phase advanced. A model was used to classify an oil sands block model into different material types. A mixed integer goal programming (MIGP) method was used to generate a strategic schedule. Block clustering techniques were used to large-scale mine planning projects. The method was used to verify and validate synthetic and real case data related to the cost of mining all material as waste, and the extra cost of mining dyke material. A case study of an oil sands project was used to demonstrate the method. The study showed that the developed model generates a smooth and uniform strategic schedule for large-scale mine planning projects. tabs., figs.

MULTI-CRITERIA PROGRAMMING METHODS AND PRODUCTION PLAN OPTIMIZATION PROBLEM SOLVING IN METAL INDUSTRY

Directory of Open Access Journals (Sweden)

Tunjo Perić

2017-09-01

Full Text Available This paper presents the production plan optimization in the metal industry considered as a multi-criteria programming problem. We first provided the definition of the multi-criteria programming problem and classification of the multicriteria programming methods. Then we applied two multi-criteria programming methods (the STEM method and the PROMETHEE method in solving a problem of multi-criteria optimization production plan in a company from the metal industry. The obtained results indicate a high efficiency of the applied methods in solving the problem.

Collaboratively Crafting Individualized Education Program Goals for Culturally and Linguistically Diverse Students

Science.gov (United States)

Jozwik, Sara L.; Cahill, Alice; Sánchez, Gilberto

2018-01-01

Individualized education programs (IEPs) reflect the spirit of individualized instruction that lies at the heart of special education. Quality annual goal statements, which propel the implementation of special education programming, use clear language to communicate measurable, meaningful, and standards-aligned expectations to all members of the…

Increasing patient mobility through an individualized goal-centered hospital mobility program: A quasi-experimental quality improvement project.

Science.gov (United States)

Klein, Lisa M; Young, Daniel; Feng, Du; Lavezza, Annette; Hiser, Stephanie; Daley, Kelly N; Hoyer, Erik H

2018-02-27

Hospital-acquired functional decline due to decreased mobility has negative impacts on patient outcomes. Current nurse-directed mobility programs lack a standardized approach to set achievable mobility goals. We aimed to describe implementation and outcomes from a nurse-directed patient mobility program. The quality improvement mobility program on the project unit was compared to a similar control unit providing usual care. The Johns Hopkins Mobility Goal Calculator was created to guide a daily patient mobility goal based on the level of mobility impairment. On the project unit, patient mobility increased from 5.2 to 5.8 on the Johns Hopkins Highest Level of Mobility score, mobility goal attainment went from 54.2% to 64.2%, and patients exceeding the goal went from 23.3% to 33.5%. All results were significantly higher than the control unit. An individualized, nurse-directed, patient mobility program using daily mobility goals is a successful strategy to improve daily patient mobility in the hospital. Copyright © 2018 Elsevier Inc. All rights reserved.

Towards lexicographic multi-objective linear programming using grossone methodology

Science.gov (United States)

Cococcioni, Marco; Pappalardo, Massimo; Sergeyev, Yaroslav D.

2016-10-01

Lexicographic Multi-Objective Linear Programming (LMOLP) problems can be solved in two ways: preemptive and nonpreemptive. The preemptive approach requires the solution of a series of LP problems, with changing constraints (each time the next objective is added, a new constraint appears). The nonpreemptive approach is based on a scalarization of the multiple objectives into a single-objective linear function by a weighted combination of the given objectives. It requires the specification of a set of weights, which is not straightforward and can be time consuming. In this work we present both mathematical and software ingredients necessary to solve LMOLP problems using a recently introduced computational methodology (allowing one to work numerically with infinities and infinitesimals) based on the concept of grossone. The ultimate goal of such an attempt is an implementation of a simplex-like algorithm, able to solve the original LMOLP problem by solving only one single-objective problem and without the need to specify finite weights. The expected advantages are therefore obvious.

Stochastic goal programming based groundwater remediation management under human-health-risk uncertainty

International Nuclear Information System (INIS)

Li, Jing; He, Li; Lu, Hongwei; Fan, Xing

2014-01-01

Highlights: • We propose an integrated optimal groundwater remediation design approach. • The approach can address stochasticity in carcinogenic risks. • Goal programming is used to make the system approaching to ideal operation and remediation effects. • The uncertainty in slope factor is evaluated under different confidence levels. • Optimal strategies are obtained to support remediation design under uncertainty. - Abstract: An optimal design approach for groundwater remediation is developed through incorporating numerical simulation, health risk assessment, uncertainty analysis and nonlinear optimization within a general framework. Stochastic analysis and goal programming are introduced into the framework to handle uncertainties in real-world groundwater remediation systems. Carcinogenic risks associated with remediation actions are further evaluated at four confidence levels. The differences between ideal and predicted constraints are minimized by goal programming. The approach is then applied to a contaminated site in western Canada for creating a set of optimal remediation strategies. Results from the case study indicate that factors including environmental standards, health risks and technical requirements mutually affected and restricted themselves. Stochastic uncertainty existed in the entire process of remediation optimization, which should to be taken into consideration in groundwater remediation design

Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal

Directory of Open Access Journals (Sweden)

Narong Wichapa

2017-11-01

Originality/value: The novelty of the proposed methodologies, hybrid fuzzy goal programming model, is the simultaneous combination of both intangible and tangible factors in order to choose new suitable locations, and the hybrid genetic algorithm can be used to determine the optimal routes which provide a minimum number of vehicles and minimum transportation cost under the actual situation, efficiently.

Hierarchical programming language for modal multi-rate real-time stream processing applications

NARCIS (Netherlands)

Geuns, S.J.; Hausmans, J.P.H.M.; Bekooij, Marco Jan Gerrit

2014-01-01

Modal multi-rate stream processing applications with real-time constraints which are executed on multi-core embedded systems often cannot be conveniently specified using current programming languages. An important issue is that sequential programming languages do not allow for convenient programming

75 FR 61253 - Final Fair Market Rents for Fiscal Year 2011 for the Housing Choice Voucher Program and Moderate...

Science.gov (United States)

2010-10-04

.... Any questions related to use of FMRs or voucher payment standards should be directed to the respective... Housing Choice Voucher program, the FMR is the basis for determining the ``payment standard amount'' used... for the Housing Choice Voucher Program and Moderate Rehabilitation Single Room Occupancy Program...

77 FR 69651 - Final Fair Market Rents for the Housing Choice Voucher Program for Small Area Fair Market Rent...

Science.gov (United States)

2012-11-20

... the Housing Choice Voucher Program for Small Area Fair Market Rent Demonstration Program Participants... Authorities (PHAs) participating in the Small Area FMR Demonstration. SUMMARY: Section 8(c)(1) of the United... Housing Choice Voucher (HCV) Program for those PHAs selected to participate in the Small Area FMR...

Development of a prototype interactive learning system using multi-media technology for mission independent training program

Science.gov (United States)

Matson, Jack E.

1992-01-01

The Spacelab Mission Independent Training Program provides an overview of payload operations. Most of the training material is currently presented in workbook form with some lecture sessions to supplement selected topics. The goal of this project was to develop a prototype interactive learning system for one of the Mission Independent Training topics to demonstrate how the learning process can be improved by incorporating multi-media technology into an interactive system. This report documents the development process and some of the problems encountered during the analysis, design, and production phases of this system.

Achieving High Reliability Operations Through Multi-Program Integration

Energy Technology Data Exchange (ETDEWEB)

Holly M. Ashley; Ronald K. Farris; Robert E. Richards

2009-04-01

Over the last 20 years the Idaho National Laboratory (INL) has adopted a number of operations and safety-related programs which has each periodically taken its turn in the limelight. As new programs have come along there has been natural competition for resources, focus and commitment. In the last few years, the INL has made real progress in integrating all these programs and are starting to realize important synergies. Contributing to this integration are both collaborative individuals and an emerging shared vision and goal of the INL fully maturing in its high reliability operations. This goal is so powerful because the concept of high reliability operations (and the resulting organizations) is a masterful amalgam and orchestrator of the best of all the participating programs (i.e. conduct of operations, behavior based safety, human performance, voluntary protection, quality assurance, and integrated safety management). This paper is a brief recounting of the lessons learned, thus far, at the INL in bringing previously competing programs into harmony under the goal (umbrella) of seeking to perform regularly as a high reliability organization. In addition to a brief diagram-illustrated historical review, the authors will share the INL’s primary successes (things already effectively stopped or started) and the gaps yet to be bridged.

Multiple utility constrained multi-objective programs using Bayesian theory

Science.gov (United States)

Abbasian, Pooneh; Mahdavi-Amiri, Nezam; Fazlollahtabar, Hamed

2018-03-01

A utility function is an important tool for representing a DM's preference. We adjoin utility functions to multi-objective optimization problems. In current studies, usually one utility function is used for each objective function. Situations may arise for a goal to have multiple utility functions. Here, we consider a constrained multi-objective problem with each objective having multiple utility functions. We induce the probability of the utilities for each objective function using Bayesian theory. Illustrative examples considering dependence and independence of variables are worked through to demonstrate the usefulness of the proposed model.

Mars exploration program analysis group goal one: determine if life ever arose on Mars.

Science.gov (United States)

Hoehler, Tori M; Westall, Frances

2010-11-01

The Mars Exploration Program Analysis Group (MEPAG) maintains a standing document that articulates scientific community goals, objectives, and priorities for mission-enabled Mars science. Each of the goals articulated within the document is periodically revisited and updated. The astrobiology-related Goal One, "Determine if life ever arose on Mars," has recently undergone such revision. The finalized revision, which appears in the version of the MEPAG Goals Document posted on September 24, 2010, is presented here.

Multi-Year Program under Budget Constraints Using Multi-Criteria Analysis

Directory of Open Access Journals (Sweden)

Surya Adiguna

2017-09-01

Full Text Available Road investment appraisal requires joint consideration of multiple criteria which are related to engineering, economic, social and environmental impacts. The investment consideration could be based on the economic analysis but however for some factors, such as environmental, social, and political, are difficult to quantify in monetary term. The multi-criteria analysis is the alternative tool which caters the requirements of the issues above. The research, which is based on 102 class D and class E paved road sections in Kenya, is about to optimize road network investment under budget constraints by applying a multi-criteria analysis (MCA method and compare it with the conventional economic analysis. The MCA is developed from hierarchy structure which is considered as the analytical framework. The framework is based on selected criteria and weights which are assigned from Kenya road policy. The HDM-4 software is applied as decision-making tool to obtain the best investment alternatives and road work programs from both MCA and economic analysis. The road work programs will be the results from the analysis using both MCA and economic analysis within HDM-4 software to see the difference and compare the results between both programs. The results from MCA show 51 road sections need periodic work, which is overlay or resealing. Meanwhile, 51 others need rehabilitation or reconstruction. The five years road work program which based on economic analysis result shows that it costs almost Kenyan Shilling (KES 130 billion to maintain the class D and E paved road in Kenya. Meanwhile, the MCA only requires KES 59.5 billion for 5 years program. These results show huge margin between two analyses and somehow MCA result provides more efficient work program compared to economic analysis.

Doctoral Theses from Nursing Postgraduate Programs in Brazil and their Association with the Millennium Development Goals

OpenAIRE

Rosalina Aparecida Partezani Rodrigues; Maria Lúcia do Carmo Cruz Robazzi; Alacoque Lorenzini Erdmann; Josicélia Dumet Fernandes; Alba Lucia Bottura Leite de Barros; Flávia Regina Souza Ramos

2015-01-01

OBJECTIVES: The Millennium Development Goals are centered around combatting poverty and other social evils all over the world. Thus, this study seeks to identify the Millennium Development Goals as an object of study in theses from Postgraduate Nursing Programs in Brazil scoring 5 (national excellence) and 6 or 7 (international excellence), and evaluate the association between the score for the program and achieving the Millennium Development Goals. METHOD: Exploratory descriptive document re...

The Indiana Choice Scholarship Program: Legal Challenges, Program Expansion, and Participation. Informing Policy and Improving Practice. Policy Brief

Science.gov (United States)

Cierniak, Katherine; Billick, Rebecca; Ruddy, Anne-Maree

2015-01-01

School choice programs can take a variety of forms, from the provision of various public school options, such as charter schools, to programs which provide funds to offset the cost of students' attendance at a private school. The provision of funds is most often accomplished in two ways: through the provision of state educational funds to be used…

The Multiplier Effect: The Case for Multi-School, Global Education Programs

Science.gov (United States)

Dugan, Rik; Nink, Matt

2010-01-01

Multi-school and multi-country programs greatly enhance leadership development and global awareness in students and teachers, while creating better problem solvers, stronger relationships, and wider community impact than any single-school program. That's why Global Youth Leadership Institute (GYLI) and National Association of Independent Schools…

[Becoming more "goal-oriented" in therapy of dyslipidemias: results of the Hungarian MULTI GAP 2010].

Science.gov (United States)

Reiber, István; Paragh, György; Márk, László; Pados, Gyula

2011-05-22

Previous studies have found that many high-risk patients are not achieving their LDL-cholesterol goals, and many patients, despite being treated with lipid-lowering therapy, also have elevated triglycerides and/or low levels of HDL-cholesterol. Authors analyzed the treatment strategies for dyslipidemic subjects following cardiovascular events similarly to their former survey from 2008 and 2009. In the MULTI GAP (MULTI Goal Attainment Problem) 2010 trial data from standard and structured questionnaires of 2332 patients were processed. Authors analyzed the proportion of the patients reaching target levels for total cholesterol, LDL-C, HDL-C, A-C (atherogen cholesterol) and triglyceride. 15% (n = 355) of the patients did not receive any lipid lowering treatment. 44% of the patients treated by specialists reached the target LDL-C level of 2.5 mmol/l. In "high risk" group target levels for HDL-C were reached by 61% of the patients, and for triglyceride by 43% of the subjects. 43% of the patients with the best compliance (>90%) reached the target LDL-C level of 2.5 mmol/l. There is a need for more effective lipid lowering therapy with more frequent use of higher doses of statins or combinations of lipid lowering drugs.

Students' Self-Identified Long-Term Leadership Development Goals: An Analysis by Gender and Race

Science.gov (United States)

Rosch, David M.; Boyd, Barry L.; Duran, Kristina M.

2014-01-01

Leadership development goal statements of 92 undergraduate students enrolled in a multi-year self-directed leadership development program were analyzed using content and thematic analyses to investigate patterns of similarities and differences across gender and race. This qualitative analysis utilized a theoretical framework that approached…

General multi-configuration Hartree--Fock program: MCHF77

International Nuclear Information System (INIS)

Fischer, C.F.

1977-11-01

This technical report contains a listing of a general program for multi-configuration Hartree--Fock (MCHF) calculations, including its documentation. Several examples are given showing how the program may be used. Typical output for several cases is also presented. This program has been tested over an extended period of time for a large variety of cases. This program is written for the IBM 360 or 370 in double-precision arithmetic

The Tax-Credit Scholarship Audit: Do Publicly Funded Private School Choice Programs Save Money?

Science.gov (United States)

Lueken, Martin F.

2016-01-01

This report follows up on previous work that examined the fiscal effects of private school voucher programs. It estimates the total fiscal effects of tax-credit scholarship programs--another type of private school choice program--on state governments, state and local taxpayers, and school districts combined. Based on a range of assumptions, these…

Exploring Heuristic Action Selection in Agent Programming (extended abstract)

NARCIS (Netherlands)

Hindriks, K.V.; Jonker, C.M.; Pasman, W.

2008-01-01

Rational agents programmed in agent programming languages derive their choice of action from their beliefs and goals. One of the main benefits of such programming languages is that they facilitate a highlevel and conceptually elegant specification of agent behaviour. Qualitative concepts alone,

Optimization of multi-response dynamic systems integrating multiple ...

African Journals Online (AJOL)

regression and Taguchi's dynamic signal-to-noise ratio concept ..... algorithm for dynamic multi-response optimization based on goal programming approach. .... problem-solving confirmation, if no grave infringement of model suppositions is ...

Rational Choice Theory in Sociology: A Methodological Argument

Directory of Open Access Journals (Sweden)

ALEXANDRA GHEONDEA-ELADI

2013-07-01

Full Text Available În the last years, rational choice theory (RCT took over a lot of the social sciences, almost polarizing discussions in sociology, such that I was able to hear questions like: are there any other theories in sociology, besides rational choice theory? Although the answer to this question is clearly yes, what seems to be important to avoid is that the moment when this theory monopolizes behavioural explanations in a multi-paradigmatic discipline should not come from partial or incomplete knowledge of it. Consequently, I decided to write this article with two goals in mind: one, to make a review of what rational choice theory is and means to sociology and secondly, to shortly present a research which questioned the structuring of social events according to this theory[1]. In the first part of this paper, I will present the main aspects of rational choice theory, such that I can argue for choosing one of its variants in the second section. In the last part I will present the methodology I used to explore the closeness of the Volunteer's Dilemma (as Diekmann (1985, 1993 proposed it to the volunteering situation in Romania. I shall do this by aid of institutional analysis and interview analysis. The results of the research will be briefly described, such that, in the end, the conclusions can summarize the main ideas about rational choice theory emerging from this article.

RATIONAL CHOICE THEORY IN SOCIOLOGY: A METHODOLOGICAL ARGUMENT

Directory of Open Access Journals (Sweden)

ALEXANDRA GHEONDEA-ELADI

2013-01-01

Full Text Available În the last years, rational choice theory (RCT took over a lot of the social sciences, almost polarizing discussions in sociology, such that I was able to hear questions like: are there any other theories in sociology, besides rational choice theory? Although the answer to this question is clearly yes, what seems to be important to avoid is that the moment when this theory monopolizes behavioural explanations in a multi-paradigmatic discipline should not come from partial or incomplete knowledge of it. Consequently, I decided to write this article with two goals in mind: one, to make a review of what rational choice theory is and means to sociology and secondly, to shortly present a research which questioned the structuring of social events according to this theory2. In the first part of this paper, I will present the main aspects of rational choice theory, such that I can argue for choosing one of its variants in the second section. In the last part I will present the methodology I used to explore the closeness of the Volunteer’s Dilemma (as Diekmann (1985, 1993 proposed it to the volunteering situation in Romania. I shall do this by aid of institutional analysis and interview analysis. The results of the research will be briefly described, such that, in the end, the conclusions can summarize the main ideas about rational choice theory emerging from this article

A decision network account of reasoning about other people's choices

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Jern, Alan; Kemp, Charles

2015-01-01

The ability to predict and reason about other people's choices is fundamental to social interaction. We propose that people reason about other people's choices using mental models that are similar to decision networks. Decision networks are extensions of Bayesian networks that incorporate the idea that choices are made in order to achieve goals. In our first experiment, we explore how people predict the choices of others. Our remaining three experiments explore how people infer the goals and knowledge of others by observing the choices that they make. We show that decision networks account for our data better than alternative computational accounts that do not incorporate the notion of goal-directed choice or that do not rely on probabilistic inference. PMID:26010559

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

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Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

2016-03-01

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

Working Together. Multi Purpose Programs for Troubled Youth.

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Kuhn, Deborah; Pressman, Harvey

This paper provides program planners with some innovative ideas that have been used in all phases of various multi-service programs for high-risk youth. Chapter 2 focuses on strategies for assessing participant needs. Diagnosis, learning disabilities and remediation, and staff training are discussed. Chapter 3 considers elimination of service gaps…

Content and goals of preclinical prosthodontic programs at german-language dental schools.

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Hey, Jeremias; Stimmelmayr, Michael; Hirsch, Christian; Beuer, Florian

2014-04-01

The Association for Dental Education in Europe (ADEE) makes recommendations regarding the skills graduates of European dental schools need to achieve and advises dental schools regarding necessary changes to be made to the curriculum. In 2010 to 2011, a survey was conducted in German-language dental schools to validate the curricula and goals of preclinical prosthodontic programs with regard to laboratory work. The survey was mailed to the course instructors of the preclinical programs at 37 dental schools. Of these, 35 schools returned the completed survey, resulting in a response rate of 95%. Bent wire, wax-up exercises, metal-ceramic single crowns, fixed dental prostheses, cast metal single crowns, temporary removable dental prostheses, and full dentures were part of the dental laboratory work at most schools; however, most instructors considered laboratory work as less important, and there were few similarities among the programs in this area. According to the instructors responsible for preclinical education, honing of fine motor skills, realistic self-assessment, and the ability to work independently were the main goals of the programs. The results of this survey show that with regard to laboratory work, there were more differences than similarities among preclinical prosthodontic programs at German-language dental schools, contrary to the recommendations of the ADEE. These findings should be taken into account when program reforms are planned. © 2013 by the American College of Prosthodontists.

The intertemporal choice behaviour. The role of emotions in a multi-agent decision problem

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Angelarosa Longo

2015-12-01

Full Text Available Decision Neuroscience has shown positive and negative side of emotions in intertemporal choices. Psychological evidences, indeed, point out anomalies (impulsivity modifies the discount function of each individual and the false consensus effect which increases the degree of consensus in a multi-agent decision problem. An experiment (Engelmann and Strobel 2004 demonstrates that the relevance of the false consensus effect depends on the difficulty of the information retrieval, so the underlying mechanism is an information processing deficiency rather than egocentricity. We demonstrate that emotions can not cause anomalies in a cooperative strategic interaction because information is explicit.

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

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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

Institutional Goal Priorities in Texas: A Look at an Associate Degree Nursing Program.

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De Leon, John E.

A study examined the perceptions of four key constituent groups from the Southeast College Associate Degree Nursing (ADN) program regarding institutional goal priorities. (Southeast College manages the ADN program for the Houston Community College System.) The study involved 23 ADN faculty, 13 college administrators, 128 ADN students, and 5 ADN…

Integrated Fuzzy ANP, Fuzzy VIKOR and goal programming for sourcing in a supply chain: A case study from cable industry

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Masoud Rezaei

2013-10-01

Full Text Available In today’s competitive business environment, companies strive to increase their market shares. All companies clearly understand that they have to reach this goal by implementing cost effective methods and increase profits as much as possible. The cost of purchasing raw materials and component parts are significant portion of products in most manufacturing firms. Supplier selection and evaluation have been widely recognized to be one of the most substantial issues on material purchasing. In order to choose reliable suppliers it is necessary to have a trade-off between some tangible and intangible factors where some of them are in serious conflict. In this paper, an integrated technique of analytical network process improved by VIKOR and fuzzy sets theory and multi-objective mixed integer nonlinear programming is proposed to determine the appropriate suppliers. The proposed model of this paper also determines the order quantity allocated to each supplier in the case of multiple sourcing, multiple products and multi-period time horizon for an Iranian cable company.

Does personal experience affect choice-based preferences for wildfire protection programs?

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Armando González-Cabán; Thomas P. Holmes; John B. Loomis; José J. Sánchez

2013-01-01

In this paper, we investigate homeowner preferences and willingness to pay for wildfire protection programs using a choice experiment with three attributes: risk, loss, and cost. A phone-mail-phone survey was used to collect data from homeowners predominantly living in medium and high wildfire risk communities in Florida. We tested three hypotheses: (1) homeowner...

Effectiveness of Premarital Education Program Based on Premarital Interpersonal Choices and Knowledge Program in Reducing Fear of Marriage and Increasing the Marriage Motivation of Single Students

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Gholamreza Rajabi

2017-11-01

Full Text Available Introduction: The present study aimed to examine the effectiveness of premarital education based on interpersonal choice and knowledge program in reducing fear of marriage and increase motivation of marriage. Methods: This research was designed as an experimental study with pretest-posttest and follow-up with a control group. Thirty-nine volunteer single students were selected from universities of Ahvaz city if they obtained a standard deviation higher than the mean score of fear subscale and were assigned randomly to experimental group (n=20 and control group (n=19. The experiment group was given a premarital interpersonal choice and knowledge program of nine 90-minute sessions twice a week. Results: The results of repeated measures analysis of variance showed that the premarital interpersonal choice and knowledge program reduced fear of marriage and increased motivation for marriage in the experimental group as compared with the control group at posttest and follow-up. Conclusion: Our results showed that the premarital interpersonal choice and knowledge program is a suitable method for reducing fear of marriage and increasing motivation for marriage in single students.

Goals and plans in decision making

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David H. Krantz

2007-06-01

Full Text Available We propose a constructed-choice model for general decision making. The model departs from utility theory and prospect theory in its treatment of multiple goals and it suggests several different ways in which context can affect choice. It is particularly instructive to apply this model to protective decisions, which are often puzzling. Among other anomalies, people insure against non-catastrophic events, underinsure against catastrophic risks, and allow extraneous factors to influence insurance purchases and other protective decisions. Neither expected-utility theory nor prospect theory can explain these anomalies satisfactorily. To apply this model to the above anomalies, we consider many different insurance-related goals, organized in a taxonomy, and we consider the effects of context on goals, resources, plans and decision rules. The paper concludes by suggesting some prescriptions for improving individual decision making with respect to protective measures.

Two layers LSTM with attention for multi-choice question answering in exams

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Li, Yongbin

2018-03-01

Question Answering in Exams is typical question answering task that aims to test how accurately the model could answer the questions in exams. In this paper, we use general deep learning model to solve the multi-choice question answering task. Our approach is to build distributed word embedding of question and answers instead of manually extracting features or linguistic tools, meanwhile, for improving the accuracy, the external corpus is introduced. The framework uses a two layers LSTM with attention which get a significant result. By contrast, we introduce the simple long short-term memory (QA-LSTM) model and QA-LSTM-CNN model and QA-LSTM with attention model as the reference. Experiment demonstrate superior performance of two layers LSTM with attention compared to other models in question answering task.

Farm Planning by Fuzzy Multi Objective Programming Model

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m Raei Jadidi

2010-05-01

Full Text Available In current study, Fuzzy Goal Programming (FGP model by considering a set of social and economic goals, was applied to optimal land allocation in Koshksaray district, Marand city, East Azarbaijan province, Iran. Farmer goals including total cultivable area, factor of production, production levels of various crops and total expected profit were considered fuzzily in establishment of the model. The goals were considered by 16 scenarios in the form of single objective, compound and priority structures. Results showed that, cost minimization in single objective and compound scenario is the best as compared with current conditions. In priority structure, scenario 10 with priorities of profit maximization, cost minimization, satisfying of production goals considering cost minimization and production goals, and scenario 13 with priorities of profit maximization, satisfying factor of production goals, cost minimization and fulfilling production goals, had minimum Euclidean Distance and satisfied the fuzzy objectives. Moreover, dry barley, irrigated and dry wheat and irrigated barely had maximum and minimum cultivated area, respectively. According to the findings, by reallocation of resources, farmers can achieve their better goals and objectives.

Energy choice for textile industry: application of multi-criteria methods to the case of Ceara state (Brazil); Escolha de insumo energetico para o setor da industria textil: aplicacao de modelo multicriterio ao caso do Ceara

Energy Technology Data Exchange (ETDEWEB)

Rabelo, Clarice A.C.; Arruda, Joao Bosco F [Universidade Federal do Ceara (UFC), Fortaleza, CE (Brazil). Nucleo de Pesquisa em Logistica, Transportes e Desenvolvimento

2004-07-01

Brazilian energy sector has faced a series of transformations that have influence on national industry. The trial of economy globalization and the new energy sources Also available and output techniques created a more competitive business environment, where not only financial aspects are considered in industrial practices. In such environment, the industry seek for more efficient production techniques and greater importance given to environmental issues are responsible for making the decision processes associated to industrial activities more complex. In this context, the energy utilized by industry represents an important aspect of business course, justified by governmental concerns on attending all existing thermal energy demand. This paper aim is to support the decision process concerned to the choice of the best energy source to be applied in the industry. In order to reach such goal, a decision model was built based on multi criteria techniques applied to the case of textile industry in Ceara State. This sector is also one of the biggest natural gas consumers in Ceara, which has influenced on its choice in order to attend to a second goal of this paper: to focus the natural gas applications and support a greater insertion of this fuel in the market. (author)

USDA Forest Service goals and programs for monitoring neotropical migratory birds

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Patricia Manley

1993-01-01

The USDA Forest Service (USFS) developed goals, objectives, and guidelines for monitoring neotropical migratory birds (NTMB) on National Forest System lands in response to the Neotropical Migratory Bird Conservation Program Partners in Flight. A USFS task group developed a hierarchical monitoring framework designed to define priorities for type of monitoring data....

How robotics programs influence young women's career choices : a grounded theory model

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Craig, Cecilia Dosh-Bluhm

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

Science goals and expected results from the smart-1 amie multi-coulour micro-camera

Science.gov (United States)

Josset, J.-L.; AMIE Team

2003-04-01

The Advanced Moon micro-Imager Experiment (AMIE), which will be on board ESA SMART-1, the first European mission to the Moon (launch foreseen in 2003), is an imaging system with scientific, technical and public outreach oriented objectives. The science objectives are to image the Lunar South Pole (Aitken basin), permanent shadow areas (ice deposit), eternal light (crater rims), ancient Lunar Nonmare volcanism, local spectro-photometry and physical state of the lunar surface, and to map high latitudes regions (south) mainly at far side. The main science goals and the expected results from the AMIE multi-colour micro-camera are presented.

STRATEGI PENATAAN GAMBAR PADA SISTEM MULTI KAMERA DALAM PRODUKSI PROGRAM INBOX SCTV

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Reni Puspitasari

2017-05-01

Full Text Available The live In-SCTV Inbox program is produced with a multi-camera system because with the use of multiple cameras will produce images with various variations of composition, camera angle, type of shot in a series of time. The purpose of this research is to know the image designing strategy on multi camera system in SCTV Inbox program. There are two stages in the image structuring strategy. The first is visualization, which translates words that contain ideas into individual images. The second is the picturization, which is the activity of assembling individual images in such a way that their continuity contains a certain meaning. The paradigm of this research is constructivism where the truth of a social reality is seen as the result of social construction. The type of research used in the research is qualitative which produce descriptive data and research method used is case study. The results of research on image structuring strategy on multi-camera system in SCTV Inbox program then the researchers made the conclusion that each image that is shown in Inbox program produced with multi-camera system, based on the arrangement of image strategy that has been established and agreed between the director and the cameraman in Pre production and production stages. Program Inbox SCTV yang tayang secara langsung diproduksi dengan sistem multi kamera karena dengan penggunaan kamera lebih dari satu akan menghasilkan gambargambar dengan berbagai variasi komposisi, angle kamera, type of shot dalam satu rangkaian waktu. Tujuan dalam penelitian ini adalah untuk mengetahui strategi penataa gambar pada sistem multi kamera di program Inbox SCTV. Terdapat dua tahap yang dilakukan dalam strategi penataan gambar. Pertama adalah visualisasi (visualization, yakni menerjemahkan kata-kata yang mengandung gagasan menjadi gambar secara individual. Kedua adalah penggambaran (picturization, yakni kegiatan merangkai gambar-gambar individual sedemikian rupa, sehingga

Normative multi-agent programs and their logics

NARCIS (Netherlands)

Dastani, M.; Grossi, D.; Meyer, J.-J.C.; Tinnemeier, N.

2009-01-01

Multi-agent systems are viewed as consisting of individual agents whose behaviors are regulated by an organization artefact. This paper presents a simplified version of a programming language that is designed to implement norm-based artefacts. Such artefacts are specified in terms of norms being

School Choice: Private School Choice Programs Are Growing and Can Complicate Providing Certain Federally Funded Services to Eligible Students. Report to Congressional Requesters. GAO-16-712

Science.gov (United States)

US Government Accountability Office, 2016

2016-01-01

Voucher and education savings account (ESA) programs fund students' private school education expenses, such as tuition. In school year 2014-15, 22 such school choice programs were operating nationwide, all but one of which was state funded. Under two federal grant programs, one for students with disabilities and one for students from disadvantaged…

Connecting Smartphone and Wearable Fitness Tracker Data with a Nationally Used Electronic Health Record System for Diabetes Education to Facilitate Behavioral Goal Monitoring in Diabetes Care: Protocol for a Pragmatic Multi-Site Randomized Trial.

Science.gov (United States)

Wang, Jing; Coleman, Deidra Carroll; Kanter, Justin; Ummer, Brad; Siminerio, Linda

2018-04-02

Mobile and wearable technology have been shown to be effective in improving diabetes self-management; however, integrating data from these technologies into clinical diabetes care to facilitate behavioral goal monitoring has not been explored. The objective of this paper is to report on a study protocol for a pragmatic multi-site trial along with the intervention components, including the detailed connected health interface. This interface was developed to integrate patient self-monitoring data collected from a wearable fitness tracker and its companion smartphone app to an electronic health record system for diabetes self-management education and support (DSMES) to facilitate behavioral goal monitoring. A 3-month multi-site pragmatic clinical trial was conducted with eligible patients with diabetes mellitus from DSMES programs. The Chronicle Diabetes system is currently freely available to diabetes educators through American Diabetes Association-recognized DSMES programs to set patient nutrition and physical activity goals. To integrate the goal-setting and self-monitoring intervention into the DSMES process, a connected interface in the Chronicle Diabetes system was developed. With the connected interface, patient self-monitoring information collected from smartphones and wearable fitness trackers can facilitate educators' monitoring of patients' adherence to their goals. Feasibility outcomes of the 3-month trial included hemoglobin A 1c levels, weight, and the usability of the connected system. An interface designed to connect data from a wearable fitness tracker with a companion smartphone app for nutrition and physical activity self-monitoring into a diabetes education electronic health record system was successfully developed to enable diabetes educators to facilitate goal setting and monitoring. A total of 60 eligible patients with type 2 diabetes mellitus were randomized into either group 1) standard diabetes education or 2) standard education enhanced with

FTA multi-year research program plan (FY 2009 - FY 2013).

Science.gov (United States)

2008-09-01

The Multi-Year Research Program Plan (Program Plan), prepared by the Federal Transit Administrations (FTA) Office of : Research, Demonstration, and Innovation (TRI), is part of FTAs strategic planning process. It provides descriptive : summarie...

Neural correlates of affective influence on choice.

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Piech, Richard M; Lewis, Jade; Parkinson, Caroline H; Owen, Adrian M; Roberts, Angela C; Downing, Paul E; Parkinson, John A

2010-03-01

Making the right choice depends crucially on the accurate valuation of the available options in the light of current needs and goals of an individual. Thus, the valuation of identical options can vary considerably with motivational context. The present study investigated the neural structures underlying context dependent evaluation. We instructed participants to choose from food menu items based on different criteria: on their anticipated taste or on ease of preparation. The aim of the manipulation was to assess which neural sites were activated during choice guided by incentive value, and which during choice based on a value-irrelevant criterion. To assess the impact of increased motivation, affect-guided choice and cognition-guided choice was compared during the sated and hungry states. During affective choice, we identified increased activity in structures representing primarily valuation and taste (medial prefrontal cortex, insula). During cognitive choice, structures showing increased activity included those implicated in suppression and conflict monitoring (lateral orbitofrontal cortex, anterior cingulate). Hunger influenced choice-related activity in the ventrolateral prefrontal cortex. Our results show that choice is associated with the use of distinct neural structures for the pursuit of different goals. Published by Elsevier Inc.

A computer program (FUGI) for design and operation of a conveyor type irradiator with multi-tier and multi-layer

International Nuclear Information System (INIS)

Hoshi, Tatsuo; Aggarwal, K.S.

1976-10-01

A computer program (FUGI) was established to facilitate the determination of factors related to design and operation of a conveyor type irradiator with multi-tier and multi-layer. The factors determined by this program are as follows: (1) maximum dose, minimum dose and dose uniformity in irradiated material; (2) dose rate distribution on the path of irradiated material; (3) mass flow rate of irradiated material; (4) requisite activity of source; (5) requisite speed of conveyor; (6) utilization efficiency. This program partly uses the program FUDGE 4A for determination of dose rate in irradiated material in static state by Galanter and Krishnamurthy. (auth.)

Exploring the Effectiveness of a Curricular Choice Majors Program on Teacher Motivation

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VanDeusen Gaddis, Linda Marie

2014-01-01

The purpose of this qualitative case study was to explore how a curricular choice majors program influenced teacher motivation and student performance at a charter high school in Pennsylvania from the perception of the administration and teachers. The theoretical foundation for this study was the attribution motivation theory. This theory…

School Choice: The Personal and the Political

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Shuls, James V.

2018-01-01

Enrollment in school choice programs is growing, so is overall support for school choice. Many have analyzed what demographic characteristics impact attitudes towards school choice. This article adds to the literature by exploring the interaction between personal decisions regarding school choice and broader support for school choice programs.…

Schools' Responses to Voucher Policy: Participation Decisions and Early Implementation Experiences in the Indiana Choice Scholarship Program

Science.gov (United States)

Austin, Megan J.

2015-01-01

Little is known about the supply side of voucher programs, despite schools' central role in program effectiveness. Using survey and interview data on the Indiana Choice Scholarship Program (ICSP), I analyze schools' participation decisions and early implementation experiences to understand better how schools respond to program regulations. I find…

Development of knowledge tests for multi-disciplinary emergency training

DEFF Research Database (Denmark)

Sorensen, J. L.; Thellesen, L.; Strandbygaard, J.

2015-01-01

and evaluating a multiple-choice question(MCQ) test for use in a multi-disciplinary training program inobstetric-anesthesia emergencies. Methods: A multi-disciplinary working committee with 12members representing six professional healthcare groups andanother 28 participants were involved. Recurrent revisions......, 40 out of originally50 items were included in the final MCQ test. The MCQ test wasable to distinguish between levels of competence, and good con-struct validity was indicated by a significant difference in the meanscore between consultants and first-year trainees, as well as betweenfirst...

Short-Term Impact of Safer Choices: A Multicomponent, School-Based HIV, Other STD, and Pregnancy Prevention Program.

Science.gov (United States)

Coyle, Karin; Basen-Engquist, Karen; Kirby, Douglas; Parcel, Guy; Banspach, Stephen; Harrist, Ronald; Baumler, Elizabeth; Weil, Marsha

1999-01-01

Evaluated the effectiveness of the first year of "Safer Choices," a two-year, multicomponent HIV, STD, and pregnancy-prevention program for high school students based on social theory. Student self-report surveys indicated that "Safer Choices" succeeded in reducing selected risk behaviors and in enhancing selected protective…

Making healthy choices easy choices: the role of empowerment

NARCIS (Netherlands)

Koelen, M.A.; Lindström, B.

2005-01-01

An important goal of health promotion is to make it easier for people to make healthy choices. However, this may be difficult if people do not feel control over their environment and their personal circumstances. An important concept in relation to this is empowerment. Health professionals are

The content of goals in individual educational programs for students with complex communication needs.

Science.gov (United States)

Klang, Nina; Rowland, Charity; Fried-Oken, Melanie; Steiner, Sandra; Granlund, Mats; Adolfsson, Margareta

2016-01-01

The aim of the study was to explore the contents of communication-related goals in individualized education programs (IEPs) for students with complex communication needs. Goals in 43 IEPs were linked to the International Classification of Functioning, Disability and Health, Children and Youth version (ICF-CY). The results show that the communication-related IEP goals contain information on multiple domains of functioning in the ICF-CY. However, judging by the amount of codes linked to ICF-CY chapters, the IEPs contain a relatively small proportion of goals that focus on interaction with others, or participation in classroom and leisure activities. Special education teachers and speech-language pathologists working with students with complex communication needs may need support to formulate communication-related IEP goals with a focus on interaction and participation in school activities.

Ahead of the game protocol: a multi-component, community sport-based program targeting prevention, promotion and early intervention for mental health among adolescent males.

Science.gov (United States)

Vella, Stewart A; Swann, Christian; Batterham, Marijka; Boydell, Katherine M; Eckermann, Simon; Fogarty, Andrea; Hurley, Diarmuid; Liddle, Sarah K; Lonsdale, Chris; Miller, Andrew; Noetel, Michael; Okely, Anthony D; Sanders, Taren; Telenta, Joanne; Deane, Frank P

2018-03-21

There is a recognised need for targeted community-wide mental health strategies and interventions aimed specifically at prevention and early intervention in promoting mental health. Young males are a high need group who hold particularly negative attitudes towards mental health services, and these views are detrimental for early intervention and help-seeking. Organised sports provide a promising context to deliver community-wide mental health strategies and interventions to adolescent males. The aim of the Ahead of the Game program is to test the effectiveness of a multi-component, community-sport based program targeting prevention, promotion and early intervention for mental health among adolescent males. The Ahead of the Game program will be implemented within a sample drawn from community sporting clubs and evaluated using a sample drawn from a matched control community. Four programs are proposed, including two targeting adolescents, one for parents, and one for sports coaches. One adolescent program aims to increase mental health literacy, intentions to seek and/or provide help for mental health, and to decrease stigmatising attitudes. The second adolescent program aims to increase resilience. The goal of the parent program is to increase parental mental health literacy and confidence to provide help. The coach program is intended to increase coaches' supportive behaviours (e.g., autonomy supportive behaviours), and in turn facilitate high-quality motivation and wellbeing among adolescents. Programs will be complemented by a messaging campaign aimed at adolescents to enhance mental health literacy. The effects of the program on adolescent males' psychological distress and wellbeing will also be explored. Organised sports represent a potentially engaging avenue to promote mental health and prevent the onset of mental health problems among adolescent males. The community-based design, with samples drawn from an intervention and a matched control community

A Goal Programming Optimization Model for The Allocation of Liquid Steel Production

Science.gov (United States)

Hapsari, S. N.; Rosyidi, C. N.

2018-03-01

This research was conducted in one of the largest steel companies in Indonesia which has several production units and produces a wide range of steel products. One of the important products in the company is billet steel. The company has four Electric Arc Furnace (EAF) which produces liquid steel which must be procesed further to be billet steel. The billet steel plant needs to make their production process more efficient to increase the productvity. The management has four goals to be achieved and hence the optimal allocation of the liquid steel production is needed to achieve those goals. In this paper, a goal programming optimization model is developed to determine optimal allocation of liquid steel production in each EAF, to satisfy demand in 3 periods and the company goals, namely maximizing the volume of production, minimizing the cost of raw materials, minimizing maintenance costs, maximizing sales revenues, and maximizing production capacity. From the results of optimization, only maximizing production capacity goal can not achieve the target. However, the model developed in this papare can optimally allocate liquid steel so the allocation of production does not exceed the maximum capacity of the machine work hours and maximum production capacity.

Multi-pitch Estimation using Semidefinite Programming

DEFF Research Database (Denmark)

Jensen, Tobias Lindstrøm; Vandenberghe, Lieven

2017-01-01

assuming a Nyquist sampled signal by adding an additional semidefinite constraint. We show that the proposed estimator has superior performance compared to state- of-the-art methods for separating two closely spaced fundamentals and approximately achieves the asymptotic Cramér-Rao lower bound.......Multi-pitch estimation concerns the problem of estimating the fundamental frequencies (pitches) and amplitudes/phases of multiple superimposed harmonic signals with application in music, speech, vibration analysis etc. In this paper we formulate a complex-valued multi-pitch estimator via...... a semidefinite programming representation of an atomic decomposition over a continuous dictionary of complex exponentials and extend this to real-valued data via a real semidefinite pro-ram with the same dimensions (i.e. half the size). We further impose a continuous frequency constraint naturally occurring from...

Goal Attainment Scaling: A Primary Method of Treatment and Program Evaluation in Project SAIL - A Special Education Dropout Prevention Program.

Science.gov (United States)

Harris, Linda Hall; Thompson, John L.

The manual discusses Project SAIL's (a special dropout prevention program) use of Goal Attainment Scaling as part of individualized education plans in the treatment of troubled adolescents and in overall program evaluation. The scaling is characterized as an explicit, respectful treatment contact through which the adolescent can learn to set…

Multi-objective reliability optimization of series-parallel systems with a choice of redundancy strategies

International Nuclear Information System (INIS)

Safari, Jalal

2012-01-01

This paper proposes a variant of the Non-dominated Sorting Genetic Algorithm (NSGA-II) to solve a novel mathematical model for multi-objective redundancy allocation problems (MORAP). Most researchers about redundancy allocation problem (RAP) have focused on single objective optimization, while there has been some limited research which addresses multi-objective optimization. Also all mathematical multi-objective models of general RAP assume that the type of redundancy strategy for each subsystem is predetermined and known a priori. In general, active redundancy has traditionally received greater attention; however, in practice both active and cold-standby redundancies may be used within a particular system design. The choice of redundancy strategy then becomes an additional decision variable. Thus, the proposed model and solution method are to select the best redundancy strategy, type of components, and levels of redundancy for each subsystem that maximizes the system reliability and minimize total system cost under system-level constraints. This problem belongs to the NP-hard class. This paper presents a second-generation Multiple-Objective Evolutionary Algorithm (MOEA), named NSGA-II to find the best solution for the given problem. The proposed algorithm demonstrates the ability to identify a set of optimal solutions (Pareto front), which provides the Decision Maker (DM) with a complete picture of the optimal solution space. After finding the Pareto front, a procedure is used to select the best solution from the Pareto front. Finally, the advantages of the presented multi-objective model and of the proposed algorithm are illustrated by solving test problems taken from the literature and the robustness of the proposed NSGA-II is discussed.

Programmed Multi-Image Lectures for College Biology Instruction.

Science.gov (United States)

Jensen, William A.; Knauft, Robert L.

1977-01-01

Discusses the use of a programed multi-image lecture approach for teaching a botany course to nonmajor students at the University of California, Berkeley. Also considers the advantages, production, method of presentation, and design of the multimedia lectures. (HM)

A goal attainment pain management program for older adults with arthritis.

Science.gov (United States)

Davis, Gail C; White, Terri L

2008-12-01

The purpose of this study was to test a pain management intervention that integrates goal setting with older adults (age > or =65) living independently in residential settings. This preliminary testing of the Goal Attainment Pain Management Program (GAPMAP) included a sample of 17 adults (mean age 79.29 years) with self-reported pain related to arthritis. Specific study aims were to: 1) explore the use of individual goal setting; 2) determine participants' levels of goal attainment; 3) determine whether changes occurred in the pain management methods used and found to be helpful by GAPMAP participants; and 4) determine whether changes occurred in selected pain-related variables (i.e., experience of living with persistent pain, the expected outcomes of pain management, pain management barriers, and global ratings of perceived pain intensity and success of pain management). Because of the small sample size, both parametric (t test) and nonparametric (Wilcoxon signed rank test) analyses were used to examine differences from pretest to posttest. Results showed that older individuals could successfully participate in setting and attaining individual goals. Thirteen of the 17 participants (76%) met their goals at the expected level or above. Two management methods (exercise and using a heated pool, tub, or shower) were used significantly more often after the intervention, and two methods (exercise and distraction) were identified as significantly more helpful. Two pain-related variables (experience of living with persistent pain and expected outcomes of pain management) revealed significant change, and all of those tested showed overall improvement.

Effective verification of confidentiality for multi-threaded programs

NARCIS (Netherlands)

Ngo, Minh Tri; Stoelinga, Mariëlle Ida Antoinette; Huisman, Marieke

2014-01-01

This paper studies how confidentiality properties of multi-threaded programs can be verified efficiently by a combination of newly developed and existing model checking algorithms. In particular, we study the verification of scheduler-specific observational determinism (SSOD), a property that

Food and energy choices for India: a programming model with partial endogenous energy requirements.

Science.gov (United States)

Parikh, K S; Srinivasan, T N

1980-09-01

This paper presents a mathematical model for all matter-energy processing subsystems at the level of the society, specifically India. It explores India's choices in the food and energy sectors over the coming decades. Alternative land intensive, irrigation energy intensive, and fertilizer intensive techniques of food production are identified using a nonlinear programming model. The land saved is devoted to growing firewood. The optimum combination of railway (steam, diesel, and electric traction) and road (automobiles, diesel trucks, and diesel and gasoline buses) transport is determined. For the oil sector, two alternative sources of supply of crude oil and petroleum products are included, namely, domestic production and imports. The optimum choice is determined through a linear programming model. While the model is basically a static one, designed to determine the optimal choice for the target year of 2000-2001, certain intertemporal detail is incorporated for electricity generation. The model minimizes the costs of meeting the needs for food, transport in terms of passenger kilometers and goods per ton per kilometer, energy needs for domestic cooking and lighting, and the energy needs of the rest of the economy.

Genomic prediction in early selection stages using multi-year data in a hybrid rye breeding program.

Science.gov (United States)

Bernal-Vasquez, Angela-Maria; Gordillo, Andres; Schmidt, Malthe; Piepho, Hans-Peter

2017-05-31

The use of multiple genetic backgrounds across years is appealing for genomic prediction (GP) because past years' data provide valuable information on marker effects. Nonetheless, single-year GP models are less complex and computationally less demanding than multi-year GP models. In devising a suitable analysis strategy for multi-year data, we may exploit the fact that even if there is no replication of genotypes across years, there is plenty of replication at the level of marker loci. Our principal aim was to evaluate different GP approaches to simultaneously model genotype-by-year (GY) effects and breeding values using multi-year data in terms of predictive ability. The models were evaluated under different scenarios reflecting common practice in plant breeding programs, such as different degrees of relatedness between training and validation sets, and using a selected fraction of genotypes in the training set. We used empirical grain yield data of a rye hybrid breeding program. A detailed description of the prediction approaches highlighting the use of kinship for modeling GY is presented. Using the kinship to model GY was advantageous in particular for datasets disconnected across years. On average, predictive abilities were 5% higher for models using kinship to model GY over models without kinship. We confirmed that using data from multiple selection stages provides valuable GY information and helps increasing predictive ability. This increase is on average 30% higher when the predicted genotypes are closely related with the genotypes in the training set. A selection of top-yielding genotypes together with the use of kinship to model GY improves the predictive ability in datasets composed of single years of several selection cycles. Our results clearly demonstrate that the use of multi-year data and appropriate modeling is beneficial for GP because it allows dissecting GY effects from genomic estimated breeding values. The model choice, as well as ensuring

Evaluating Value Chain Development Programs: Assessing Effectiveness, Efficiency, and Equity Effects of Contract Choice

NARCIS (Netherlands)

Ruben, R.

2015-01-01

Provides insights regarding the possible procedures for assessing welfare, efficiency, and equity effects of value chain development (VCD) programs, taking advantage of available analytical tools derived from impact analysis, transaction cost theory, and contract choice approaches and briefly

Criteria for prioritization of HIV programs in Viet Nam: a discrete choice experiment.

Science.gov (United States)

Safarnejad, Ali; Pavlova, Milena; Son, Vo Hai; Phuong, Huynh Lan; Groot, Wim

2017-11-13

With the decline in funding for Viet Nam's response to the HIV epidemic, there is a need for evidence on the criteria to guide the prioritization of HIV programs. There is a gap in the research on the relative importance of multiple criteria for prioritizing a package of interventions. This study elicits preferences and the trade-offs made between different HIV programs by relevant stakeholders and decision-makers in Viet Nam. It also pays attention to how differences in social and professional characteristics of stakeholders and their agency affiliations shape preferences for HIV program criteria in Viet Nam. This study uses self-explicated ranking and discrete choice experiments to determine the relative importance of five criteria - effectiveness, feasibility, cost-effectiveness, rate of investment and prevention/treatment investment ratio - to stakeholders when they evaluate and select hypothetical HIV programs. The study includes 69 participants from government, civil society, and international development partners. Results of the discrete choice experiment show that overall the feasibility criterion is ranked highest in importance to the participants when choosing a hypothetical HIV program, followed by sustainability, treatment to prevention spending ratio, and effectiveness. The participant's work in management, programming, or decision-making has a significant effect on the importance of some criteria to the participant. In the self-explicated ranking effectiveness is the most important criterion and the cost-effectiveness criterion ranks low in importance across all groups. This study has shown that the preferred HIV program in Viet Nam is feasible, front-loaded for sustainability, has a higher proportion of investment on prevention, saves more lives and prevents more infections. Similarities in government and civil society rankings of criteria can create common grounds for future policy dialogues between stakeholders. Innovative models of planning should

Participating in a Food-Assisted Maternal and Child Nutrition and Health Program in Rural Guatemala Alters Household Dietary Choices.

Science.gov (United States)

Jensen, Melissa L; Frongillo, Edward A; Leroy, Jef L; Blake, Christine E

2016-08-01

Food assistance programs may alter food choices, but factors determining households' decisions regarding food acquisition, preparation, and consumption in the context of food aid are not well understood. This study aimed to understand how the Programa Comunitario Materno Infantil de Diversificación Alimentaria (Mother-Child Community Food Diversification Program; PROCOMIDA), a food-assisted maternal and child health and nutrition program in rural Alta Verapaz, Guatemala, altered household food choices. We conducted semistructured interviews and focus groups with 63 households in 3 participating (n = 32 households) and 3 control (n = 31) villages. A last-day food recall (without estimating quantities) and food-frequency questionnaire that used food cards assessed dietary choices. Qualitative analysis used thematic a priori and emergent coding; food group consumption frequencies were analyzed by using 2-level, logistic, mixed modeling, and chi-square testing while accounting for community clustering. Compared with control households, PROCOMIDA changed household food choices through a combination of providing food resources (with monthly food rations) and new knowledge and skills related to health and food (in the program's behavior change communication component) while reinforcing existing knowledge and beliefs. PROCOMIDA families consumed rice, red beans, and oil more frequently than did control families (differences of 2.20 (P foods were in the rations. PROCOMIDA families also ate chicken, local plants, and some vegetables more frequently. The importance of these foods was emphasized in the behavioral change communication component; these foods may have been more accessible because provision of food rations freed resources. Our findings suggest that if a program provides food free of cost to rural indigenous families in the context of a maternal and child nutrition and health program, it may be important to include a well-designed behavioral change communication

77 FR 13619 - Notice of Submission of Proposed Information Collection to OMB; Housing Choice Voucher Program

Science.gov (United States)

2012-03-07

... Proposed Information Collection to OMB; Housing Choice Voucher Program AGENCY: Office of the Chief... assistance payments, and budget and payment documentation. In some cases, PHAs voluntarily divest their voucher programs to a receiving PHA. PHAs may also project-base a portion of their vouchers or use their...

75 FR 55596 - Notice of Submission of Proposed Information Collection to OMB Housing Choice Voucher Program

Science.gov (United States)

2010-09-13

... Proposed Information Collection to OMB Housing Choice Voucher Program AGENCY: Office of the Chief... assistance payments, and budget and payment documentation. In some cases PHAs voluntarily divest their voucher programs to a receiving PHA. PHAs may also project-base a portion of their vouchers or use their...

Development of Curriculum Content for a Unique Career Ladder Multi-Entry/Multi-Exit Nursing Program. Final Report.

Science.gov (United States)

Rosbach, Ellen M.

A project was undertaken to develop the curriculum content for a unique career ladder multi-entry/multi-exit nursing program that would provide training for nurse aides, practical nurses, and registered nurses. The major objectives of the project were to conduct a review of the literature on curriculum materials presently in use, to develop 11…

Doctoral Theses from Nursing Postgraduate Programs in Brazil and their Association with the Millennium Development Goals.

Science.gov (United States)

Rodrigues, Rosalina Aparecida Partezani; Robazzi, Maria Lúcia do Carmo Cruz; Erdmann, Alacoque Lorenzini; Fernandes, Josicélia Dumet; de Barros, Alba Lucia Bottura Leite; Ramos, Flávia Regina Souza

2015-01-01

The Millennium Development Goals are centered around combatting poverty and other social evils all over the world. Thus, this study seeks to identify the Millennium Development Goals as an object of study in theses from Postgraduate Nursing Programs in Brazil scoring 5 (national excellence) and 6 or 7 (international excellence), and evaluate the association between the score for the program and achieving the Millennium Development Goals. Exploratory descriptive document research. Data were collected from the Notes on Indicators/Coordination for Higher Education Personnel Improvement for the 15 Postgraduate Nursing Courses scoring between 5 and 7 in the three-year-period of 2010/2012. of the 8 Millennium Development Objectives, 6 were dealt with in the theses. There was an association (Fisher's exact test p-value=0.0059) between the distribution of the theses and the program scores in relation to the Millennium Development Objectives (p-valor=0.0347)CONCLUSION: the doctoral theses were slightly related to the Millennium Development Objectives, covering the population's economic development, health conditions and quality of life. It is recommended that Postgraduate Programs in Nursing pay closer attention to the Millennium Development Objectives.

Doctoral Theses from Nursing Postgraduate Programs in Brazil and their Association with the Millennium Development Goals

Directory of Open Access Journals (Sweden)

Rosalina Aparecida Partezani Rodrigues

2015-06-01

Full Text Available OBJECTIVES: The Millennium Development Goals are centered around combatting poverty and other social evils all over the world. Thus, this study seeks to identify the Millennium Development Goals as an object of study in theses from Postgraduate Nursing Programs in Brazil scoring 5 (national excellence and 6 or 7 (international excellence, and evaluate the association between the score for the program and achieving the Millennium Development Goals.METHOD: Exploratory descriptive document research. Data were collected from the Notes on Indicators/Coordination for Higher Education Personnel Improvement for the 15 Postgraduate Nursing Courses scoring between 5 and 7 in the three-year-period of 2010/2012.RESULTS: of the 8 Millennium Development Objectives, 6 were dealt with in the theses. There was an association (Fisher's exact test p-value=0.0059 between the distribution of the theses and the program scores in relation to the Millennium Development Objectives (p-valor=0.0347CONCLUSION: the doctoral theses were slightly related to the Millennium Development Objectives, covering the population's economic development, health conditions and quality of life. It is recommended that Postgraduate Programs in Nursing pay closer attention to the Millennium Development Objectives..

Teen Dating Violence Prevention: Cluster-Randomized Trial of Teen Choices, an Online, Stage-Based Program for Healthy, Nonviolent Relationships.

Science.gov (United States)

Levesque, Deborah A; Johnson, Janet L; Welch, Carol A; Prochaska, Janice M; Paiva, Andrea L

2016-07-01

Teen dating violence is a serious public health problem. A cluster-randomized trial was conducted to assess the efficacy of Teen Choices , a 3-session online program that delivers assessments and individualized guidance matched to dating history, dating violence experiences, and stage of readiness for using healthy relationship skills. For high risk victims of dating violence, the program addresses readiness to keep oneself safe in relationships. Twenty high schools were randomly assigned to the Teen Choices condition ( n =2,000) or a Comparison condition ( n =1,901). Emotional and physical dating violence victimization and perpetration were assessed at 6 and 12 months in the subset of participants (total n =2,605) who reported a past-year history of dating violence at baseline, and/or who dated during the study. The Teen Choices program was associated with significantly reduced odds of all four types of dating violence (adjusted ORs ranging from .45 to .63 at 12 months follow-up). For three of the four violence outcomes, participants with a past-year history of that type of violence benefited significantly more from the intervention than students without a past-year history. The Teen Choices program provides an effective and practicable strategy for intervention for teen dating violence prevention.

The effect of personal experience on choice-based preferences for wildfire protection programs

Science.gov (United States)

Tom Holmes; Armando Gonzalez-Caban; John Loomis; Jose Sanchez

2013-01-01

In this paper, we investigate homeowner preferences and willingness to pay for wildfire protection programs using a choice experiment with three attributes: risk, loss and cost. Preference heterogeneity among survey respondents was examined using three econometric models and risk preferences were evaluated by comparing willingness to pay for wildfire protection...

Making Healthy Food Choices Using Nutrition Facts Panels: The Roles of Knowledge, Motivation, Dietary Modifications Goals, and Age

Science.gov (United States)

Cassady, Diana L.

2012-01-01

Nutrition facts panels (NFPs) contain a rich assortment of nutrition information and are available on most food packages. The importance of this information is potentially even greater among older adults due to their increased risk for diet-related diseases, as well as those with goals for dietary modifications that may impact food choice. Despite past work suggesting that knowledge and motivation impact attitudes surrounding and self-reported use of NFPs, we know little about how (i.e., strategies used) and how well (i.e., level of accuracy) younger and older individuals process NFP information when evaluating healthful qualities of foods. We manipulated the content of NFPs and, using eye tracking methodology, examined strategies associated with deciding which of two NFPs, presented side-by-side, was healthier. We examined associations among strategy use and accuracy as well as age, dietary modification status, knowledge, and motivation. Results showed that, across age groups, those with dietary modification goals made relatively more comparisons between NFPs with increasing knowledge and motivation; but that strategy effectiveness (relationship to accuracy) depended on age and motivation. Results also showed that knowledge and motivation may protect against declines in accuracy in later life and that, across age and dietary modification status, knowledge mediates the relationship between motivation and decision accuracy. PMID:22524999

A model for the design and programming of multi-cores

NARCIS (Netherlands)

Jesshope, C.; Grandinetti, L.

2008-01-01

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

Multi-objective Optimization of Process Parameters in Friction Stir Welding

DEFF Research Database (Denmark)

Tutum, Cem Celal; Hattel, Jesper Henri

The objective of this paper is to investigate optimum process parameters in Friction Stir Welding (FSW) to minimize residual stresses in the work piece and maximize production efficiency meanwhile satisfying process specific constraints as well. More specifically, the choices of tool rotational...... speed and traverse welding speed have been sought in order to achieve the goals mentioned above using an evolutionary multi-objective optimization (MOO) algorithm, i.e. non-dominated sorting genetic algorithm (NSGA-II), integrated with a transient, 2- dimensional sequentially coupled thermo...

Financial Planning with Fractional Goals

OpenAIRE

Goedhart, Marc; Spronk, Jaap

1995-01-01

textabstractWhen solving financial planning problems with multiple goals by means of multiple objective programming, the presence of fractional goals leads to technical difficulties. In this paper we present a straightforward interactive approach for solving such linear fractional programs with multiple goal variables. The approach is illustrated by means of an example in financial planning.

Informed Choice in the German Mammography Screening Program by Education and Migrant Status: Survey among First-Time Invitees.

Directory of Open Access Journals (Sweden)

Eva-Maria Berens

Full Text Available Breast cancer is the most prevalent cancer among women and mammography screening programs are seen as a key strategy to reduce breast cancer mortality. In Germany, women are invited to the population-based mammography screening program between ages 50 to 69. It is still discussed whether the benefits of mammography screening outweigh its harms. Therefore, the concept of informed choice comprising knowledge, attitude and intention has gained importance. The objective of this observational study was to assess the proportion of informed choices among women invited to the German mammography screening program for the first time. A representative sample of 17,349 women aged 50 years from a sub-region of North Rhine Westphalia was invited to participate in a postal survey. Turkish immigrant women were oversampled. The effects of education level and migration status on informed choice and its components were assessed. 5,847 (33.7% women responded to the postal questionnaire of which 4,113 were used for analyses. 31.5% of the women had sufficient knowledge. The proportion of sufficient knowledge was lower among immigrants and among women with low education levels. The proportion of women making informed choices was low (27.1%, with similar associations with education level and migration status. Women of low (OR 2.75; 95% CI 2.18-3.46 and medium education level (OR 1.49; 95% CI 1.27-1.75 were more likely to make an uninformed choice than women of high education level. Turkish immigrant women had the greatest odds for making an uninformed choice (OR 5.30, 95% CI 1.92-14.66 compared to non-immigrant women. Other immigrant women only had slightly greater odds for making an uninformed choice than non-immigrant women. As immigrant populations and women with low education level have been shown to have poor knowledge, they need special attention in measures to increase knowledge and thus informed choices.

Choose Your Own Adventure: Designing an Environment that Supports NASA Scientists' Goals in Education, Outreach, and Inreach

Science.gov (United States)

DeWitt, S.

2015-12-01

What is your communication goal? That is the opening question asked in NASA's first agency-wide science communication leadership development program. Many scientists know what they want to communicate, some know to whom they'd like to communicate, but few can clearly express why they want to do it. So what? First, being clear about one's goal is critical in being able to measure success. Second, when asked to think critically about communication goals, some scientists may shift their communication behaviors and practices to better achieve those goals. To that end, NASA has designed a deep learning experience for scientists (and engineers and others) to: critically examine their communication goals; learn techniques for getting to know their intended audience; and develop and apply specific communication skills to a project of their choice. Participants in this program come into the classroom with projects that span a wide spectrum including: formal and informal education, public outreach, media interviews, public speaking, stakeholder briefings, and internal awareness-building. Through expert advisors, professional coaches and peer networks, this program provides a supportive environment for individuals to workshop their project in the classroom and receive feedback before, during, and after the project is complete. This program also provides an opportunity for scientists and other participants to learn more about communication at NASA, and to directly influence the agency's science communication culture through action learning. In this presentation, I will summarize NASA's dual-design science communication leadership development program and present some lessons-learned, participant feedback and evaluation data from the initial course offerings.

Comparison between goal programming and cointegration approaches in enhanced index tracking

Science.gov (United States)

Lam, Weng Siew; Jamaan, Saiful Hafizah Hj.

2013-04-01

Index tracking is a popular form of passive fund management in stock market. Passive management is a buy-and-hold strategy that aims to achieve rate of return similar to the market return. Index tracking problem is a problem of reproducing the performance of a stock market index, without purchasing all of the stocks that make up the index. This can be done by establishing an optimal portfolio that minimizes risk or tracking error. An improved index tracking (enhanced index tracking) is a dual-objective optimization problem, a trade-off between maximizing the mean return and minimizing the tracking error. Enhanced index tracking aims to generate excess return over the return achieved by the index. The objective of this study is to compare the portfolio compositions and performances by using two different approaches in enhanced index tracking problem, which are goal programming and cointegration. The result of this study shows that the optimal portfolios for both approaches are able to outperform the Malaysia market index which is Kuala Lumpur Composite Index. Both approaches give different optimal portfolio compositions. Besides, the cointegration approach outperforms the goal programming approach because the cointegration approach gives higher mean return and lower risk or tracking error. Therefore, the cointegration approach is more appropriate for the investors in Malaysia.

Geometric programming facilities of EusLisp and assembly goal planner

International Nuclear Information System (INIS)

Matsui, Toshihiro; Sakane, Shigeyuki; Hirukawa, Hirohisa

1994-01-01

For robots in power plants to accomplish intelligent tasks such as maintenance, inspection, and assembly, the robots must have planning capabilities based on shape models of the environment. Such shape models are defined and manipulated by a program called a geometric modeler or a solid modeler. Although there are commercial solid modelers in the market, they are not always suitable for robotics research, since it is hard to integrate higher level planning functions which frequently access internal model representation. In order to accelerate advanced robotics research, we need a generic, extensible, efficient, and integration-oriented geometric modeler. After reviewing available modelers, we concluded that the object-oriented Lisp can be the best implementation language for solid modeling. The next section introduces the programming language, 'EusLisp', tuned for implementing a solid modeler for intelligent robot programming. The design philosophy and the structure and functions of EusLisp are stated. In the following sections, EusLisp's applications, i.e., viewpoint and light-source location planning, derivation of motion constraint, and assembly goal planning, are discussed. (J.P.N.)

[A multi-measure analysis of the similarity, attraction, and compromise effects in multi-attribute decision making].

Science.gov (United States)

Tsuzuki, Takashi; Matsui, Hiroshi; Kikuchi, Manabu

2012-12-01

In multi-attribute decision making, the similarity, attraction, and compromise effects warrant specific investigation as they cause violations of principles in rational choice. In order to investigate these three effects simultaneously, we assigned 145 undergraduates to three context effect conditions. We requested them to solve the same 20 hypothetical purchase problems, each of which had three alternatives described along two attributes. We measured their choices, confidence ratings, and response times. We found that manipulating the third alternative had significant context effects for choice proportions and confidence ratings in all three conditions. Furthermore, the attraction effect was the most prominent with regard to choice proportions. In the compromise effect condition, although the choice proportion of the third alternative was high, the confidence rating was low and the response time was long. These results indicate that the relationship between choice proportions and confidence ratings requires further theoretical investigation. They also suggest that a combination of experimental and modeling studies is imperative to reveal the mechanisms underlying the context effects in multi-attribute, multi-alternative decision making.

Goal programming for cyclical auxiliary police scheduling at UiTM Cawangan Perlis

Science.gov (United States)

Mustapar, Wasilatul Effah; Nasir, Diana Sirmayunie Mohd; Nor, Nor Azriani Mohamad; Abas, Sharifah Fhahriyah Syed

2017-11-01

Constructing a good and fair schedule for shift workers poses a great challenge as it requires a lot of time and effort. In this study, goal programming has been applied on scheduling to achieve the hard and soft constraints for a cyclical schedule that would ease the head of auxiliary police at building new schedules. To accomplish this goal, shift types were assigned in order to provide a fair schedule that takes into account the auxiliary police's policies and preferences. The model was run using Lingo software. Three out of four goals set for the study were achieved. In addition, the results considered an equal allocation for every auxiliary police, namely 70% for total duty and 30% for the day. Furthermore, the schedule was able to cyclically generate another 10 sets schedule. More importantly, the model has provided unbiased scheduling of auxiliary policies which led to high satisfaction in auxiliary police management.

Teaching Healthful Food Choices to Elementary School Students and Their Parents: The Nutrition Detectives[TM] Program

Science.gov (United States)

Katz, David L.; Katz, Catherine S.; Treu, Judith A.; Reynolds, Jesse; Njike, Valentine; Walker, Jennifer; Smith, Erica; Michael, Jennifer

2011-01-01

Background: The purpose of this study was to evaluate the effects of a nutrition education program designed to teach elementary school students and their parents, and to distinguish between more healthful and less healthful choices in diverse food categories. Methods: Three schools were assigned to receive the Nutrition Detectives[TM] program and…

Implementing a Multi-Agent System in Python with an Auction-Based Agreement Approach

DEFF Research Database (Denmark)

Ettienne, Mikko Berggren; Vester, Steen; Villadsen, Jørgen

2012-01-01

We describe the solution used by the Python-DTU team in the Multi-Agent Programming Contest 2011, where the scenario was called Agents on Mars. We present our auction-based agreement algorithm and discuss our chosen strategy and our choice of technology used for implementing the system. Finally, we...

A Verification Logic for GOAL Agents

Science.gov (United States)

Hindriks, K. V.

Although there has been a growing body of literature on verification of agents programs, it has been difficult to design a verification logic for agent programs that fully characterizes such programs and to connect agent programs to agent theory. The challenge is to define an agent programming language that defines a computational framework but also allows for a logical characterization useful for verification. The agent programming language GOAL has been originally designed to connect agent programming to agent theory and we present additional results here that GOAL agents can be fully represented by a logical theory. GOAL agents can thus be said to execute the corresponding logical theory.

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

Energy Technology Data Exchange (ETDEWEB)

Mavrotas, George, E-mail: mavrotas@chemeng.ntua.gr [National Technical University of Athens, Iroon Polytechniou 9, Zografou, Athens, 15780 (Greece); Skoulaxinou, Sotiria [EPEM SA, 141 B Acharnon Str., Athens, 10446 (Greece); Gakis, Nikos [FACETS SA, Agiou Isidorou Str., Athens, 11471 (Greece); Katsouros, Vassilis [Athena Research and Innovation Center, Artemidos 6 and Epidavrou Str., Maroussi, 15125 (Greece); Georgopoulou, Elena [National Observatory of Athens, Thisio, Athens, 11810 (Greece)

2013-09-15

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

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

International Nuclear Information System (INIS)

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

2013-01-01

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

Portfolio selection problem: a comparison of fuzzy goal programming and linear physical programming

Directory of Open Access Journals (Sweden)

Fusun Kucukbay

2016-04-01

Full Text Available Investors have limited budget and they try to maximize their return with minimum risk. Therefore this study aims to deal with the portfolio selection problem. In the study two criteria are considered which are expected return, and risk. In this respect, linear physical programming (LPP technique is applied on Bist 100 stocks to be able to find out the optimum portfolio. The analysis covers the period April 2009- March 2015. This period is divided into two; April 2009-March 2014 and April 2014 – March 2015. April 2009-March 2014 period is used as data to find an optimal solution. April 2014-March 2015 period is used to test the real performance of portfolios. The performance of the obtained portfolio is compared with that obtained from fuzzy goal programming (FGP. Then the performances of both method, LPP and FGP are compared with BIST 100 in terms of their Sharpe Indexes. The findings reveal that LPP for portfolio selection problem is a good alternative to FGP.

Implications of the Goal Theory on air show programs planning

Directory of Open Access Journals (Sweden)

Dewald Venter

2014-01-01

Full Text Available Events have long played an important role in human society (Shone & Parry, 2010: 3. The toils and efforts of daily lives have often been broken up by events of all kinds as humans seek an escape from the harsh reality of existence and events provide the outlet. Events are classified into four categories according to Shone and Parry (2010: 5 namely leisure (sport, recreation, personal (weddings, birthdays, cultural (art, folklore and organizational (politics, commercial. Successful events either match or exceed visitor motives and goals. It is critical that data be collected from visitors to determine their motives and goals in order to satisfy them and thereby encouraging repeat visits. One such event is the annual air show held at the Zwartkop Air Force Base (AFB in Pretoria, South Africa. Zwartkop AFB is also home to the South African Air Force (SAAF museum that also the hosts of the air show. Much of the museum‟s funds are generated through hosting the air show and sponsor contributions. Visitor goal satisfaction should therefore be of critically importance to the program planners. Military hardware has long held a fascination for those who used them and inspired the imagination of young and old. Such hardware often serves as a remembrance of times passed and as a testament to those who perished. For many visiting museums and air shows, curiosity plays a big role. The particular focus of this article will be on how the goal theory of leisure travel can be utilized by the air show organizers to enhance visitor experience to an air show.

MAIL3.1 : a computer program generating cross section sets for SIMCRI, ANISN-JR, KENO IV, KENO V, MULTI-KENO, MULTI-KENO-2 and MULTI-KENO-3.0

International Nuclear Information System (INIS)

Suyama, Kenya; Komuro, Yuichi; Takada, Tomoyuki; Kawasaki, Hiromitsu; Ouchi, Keisuke

1998-02-01

This report is a user's manual of the computer program MAIL3.1 which generates various types of cross section sets for neutron transport programs such as SIMCRI, ANISN-JR, KENO IV, KENO V, MULTI-KENO, MULTI-KENO-2 and MULTI-KENO-3.0. MAIL3.1 is a revised version of MAIL3.0 that was opened in 1990. It has all of abilities of MAIL3.0 and has two more functions as shown in following. 1. AMPX-type cross section set generating function for KENO V. 2. Enhanced function for user of 16 group Hansen-Roach library. (author)

MAIL3.1 : a computer program generating cross section sets for SIMCRI, ANISN-JR, KENO IV, KENO V, MULTI-KENO, MULTI-KENO-2 and MULTI-KENO-3.0

Energy Technology Data Exchange (ETDEWEB)

Suyama, Kenya; Komuro, Yuichi [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment; Takada, Tomoyuki; Kawasaki, Hiromitsu; Ouchi, Keisuke

1998-02-01

This report is a user`s manual of the computer program MAIL3.1 which generates various types of cross section sets for neutron transport programs such as SIMCRI, ANISN-JR, KENO IV, KENO V, MULTI-KENO, MULTI-KENO-2 and MULTI-KENO-3.0. MAIL3.1 is a revised version of MAIL3.0 that was opened in 1990. It has all of abilities of MAIL3.0 and has two more functions as shown in following. 1. AMPX-type cross section set generating function for KENO V. 2. Enhanced function for user of 16 group Hansen-Roach library. (author)

[Effectiveness of a self-management program using goal setting based on a G-AP for patients after a stroke].

Science.gov (United States)

Park, Min Gyeong; Ha, Yeongmi

2014-10-01

This study was conducted to develop a self-management program using goal setting for patients after a stroke. The program was based on a theory-based Goal setting and Action Planning framework (G-AP), and the effectiveness of the program was examined. A non-equivalent control group pretest-posttest design was used. The experimental group (n=30) received the self-management program using goal setting based on the G-AP over 7 weeks. The education was delivered individually with a specifically designed stroke workbook. The control group (n=30) received only patient information leaflets about stroke. There were significant differences between the two groups. Stroke knowledge, self-efficacy, and health behavior compliance were significantly higher (all pgoal setting based on a G-AP was found to be useful and beneficial for patients in stroke rehabilitation settings.

Criteria for prioritization of HIV programs in Viet Nam: a discrete choice experiment

Directory of Open Access Journals (Sweden)

Ali Safarnejad

2017-11-01

Full Text Available Abstract Background With the decline in funding for Viet Nam’s response to the HIV epidemic, there is a need for evidence on the criteria to guide the prioritization of HIV programs. There is a gap in the research on the relative importance of multiple criteria for prioritizing a package of interventions. This study elicits preferences and the trade-offs made between different HIV programs by relevant stakeholders and decision-makers in Viet Nam. It also pays attention to how differences in social and professional characteristics of stakeholders and their agency affiliations shape preferences for HIV program criteria in Viet Nam. Methods This study uses self-explicated ranking and discrete choice experiments to determine the relative importance of five criteria - effectiveness, feasibility, cost-effectiveness, rate of investment and prevention/treatment investment ratio - to stakeholders when they evaluate and select hypothetical HIV programs. The study includes 69 participants from government, civil society, and international development partners. Results Results of the discrete choice experiment show that overall the feasibility criterion is ranked highest in importance to the participants when choosing a hypothetical HIV program, followed by sustainability, treatment to prevention spending ratio, and effectiveness. The participant’s work in management, programming, or decision-making has a significant effect on the importance of some criteria to the participant. In the self-explicated ranking effectiveness is the most important criterion and the cost-effectiveness criterion ranks low in importance across all groups. Conclusions This study has shown that the preferred HIV program in Viet Nam is feasible, front-loaded for sustainability, has a higher proportion of investment on prevention, saves more lives and prevents more infections. Similarities in government and civil society rankings of criteria can create common grounds for future

Goals, data use, and instruction : the effect of a teacher professional development program on reading achievement

NARCIS (Netherlands)

van Kuijk, Mechteld F.; Deunk, Marjolein I.; Bosker, Roel J.; Ritzema, Evelien S.

In this paper, we investigated whether student reading comprehension could be improved with help of a teacher Professional Development (PD) program targeting goals, data use, and instruction. The effect of this PD program on 2nd- and 3rd-grade student achievement was examined using a

Goal setting in practice : the effects of personality and perceptions of the goal-setting process on job satisfaction and goal commitment

NARCIS (Netherlands)

Bipp, T.; Kleingeld, P.A.M.

2011-01-01

Purpose – The purpose of this study was to investigate how individual perceptions by employees of a goal-setting program and personality traits influence job satisfaction and goal commitment. Design/methodology/approach – Using the German version of Locke and Latham’s goal-setting questionnaire, 97

Making healthy food choices using nutrition facts panels. The roles of knowledge, motivation, dietary modifications goals, and age.

Science.gov (United States)

Miller, Lisa M Soederberg; Cassady, Diana L

2012-08-01

Nutrition facts panels (NFPs) contain a rich assortment of nutrition information and are available on most food packages. The importance of this information is potentially even greater among older adults due to their increased risk for diet-related diseases, as well as those with goals for dietary modifications that may impact food choice. Despite past work suggesting that knowledge and motivation impact attitudes surrounding and self-reported use of NFPs, we know little about how (i.e., strategies used) and how well (i.e., level of accuracy) younger and older individuals process NFP information when evaluating healthful qualities of foods. We manipulated the content of NFPs and, using eye tracking methodology, examined strategies associated with deciding which of two NFPs, presented side-by-side, was healthier. We examined associations among strategy use and accuracy as well as age, dietary modification status, knowledge, and motivation. Results showed that, across age groups, those with dietary modification goals made relatively more comparisons between NFPs with increasing knowledge and motivation; but that strategy effectiveness (relationship to accuracy) depended on age and motivation. Results also showed that knowledge and motivation may protect against declines in accuracy in later life and that, across age and dietary modification status, knowledge mediates the relationship between motivation and decision accuracy. Copyright © 2012 Elsevier Ltd. All rights reserved.

Multi-criteria appraisal of multi-modal urban public transport systems

NARCIS (Netherlands)

Keyvan Ekbatani, M.; Cats, O.

2015-01-01

This study proposes a multi-criteria decision making (MCDM) modelling framework for the appraisal of multi-modal urban public transportation services. MCDM is commonly used to obtain choice alternatives that satisfy a range of performance indicators. The framework embraces both compensatory and

76 FR 2700 - National Protection and Programs Directorate; National Emergency Communications Plan (NECP) Goal...

Science.gov (United States)

2011-01-14

... Programs Directorate (NPPD)/Office of Cybersecurity and Communications (CS&C)/Office of Emergency Communications (OEC) will submit the following Information Collection Request to the Office of Management and... Directorate; National Emergency Communications Plan (NECP) Goal 2 Performance Report AGENCY: National...

Enhancing community based health programs in Iran: a multi-objective location-allocation model.

Science.gov (United States)

Khodaparasti, S; Maleki, H R; Jahedi, S; Bruni, M E; Beraldi, P

2017-12-01

Community Based Organizations (CBOs) are important health system stakeholders with the mission of addressing the social and economic needs of individuals and groups in a defined geographic area, usually no larger than a county. The access and success efforts of CBOs vary, depending on the integration between health care providers and CBOs but also in relation to the community participation level. To achieve widespread results, it is important to carefully design an efficient network which can serve as a bridge between the community and the health care system. This study addresses this challenge through a location-allocation model that deals with the hierarchical nature of the system explicitly. To reflect social welfare concerns of equity, local accessibility, and efficiency, we develop the model in a multi-objective framework, capturing the ambiguity in the decision makers' aspiration levels through a fuzzy goal programming approach. This study reports the findings for the real case of Shiraz city, Fars province, Iran, obtained by a thorough analysis of the results.

Do vendors benefit from promotions in a multi-vendor loyalty program?

NARCIS (Netherlands)

Dorotic, Matilda; Fok, Dennis; Verhoef, Peter C.; Bijmolt, Tammo H. A.

The growing trend of networking in recent years has led to an increase in number of loyalty program partnerships, most notably multi-vendor loyalty programs (MVLP). In an MVLP (as in other types of LPs), cardholders frequently receive promotional mailings intended to increase sales at the

Do vendors benefit from promotions in a multi-vendor loyalty program?

NARCIS (Netherlands)

M. Dorotic (Matilda); D. Fok (Dennis); P.C. Verhoef (Peter); T.H.A. Bijmolt (Tammo)

2011-01-01

textabstractThe growing trend of networking in recent years has led to an increase in number of loyalty program partnerships, most notably multi-vendor loyalty programs (MVLP). In an MVLP (as in other types of LPs), cardholders frequently receive promotional mailings intended to increase sales at

Do vendors benefit from promotions in a multi-vendor loyalty program?

NARCIS (Netherlands)

Dorotic, Matilda; Fok, Dennis; Verhoef, Peter C.; Bijmolt, Tammo H. A.

2011-01-01

The growing trend of networking in recent years has led to an increase in number of loyalty program partnerships, most notably multi-vendor loyalty programs (MVLP). In an MVLP (as in other types of LPs), cardholders frequently receive promotional mailings intended to increase sales at the

Patients' perceptions of their roles in goal setting in a spinal cord injury regional rehabilitation program.

Science.gov (United States)

Draaistra, Harriett; Singh, Mina D; Ireland, Sandra; Harper, Theresa

2012-01-01

Goal setting is a common practice in rehabilitation, yet there is a paucity of literature exploring patients' perceptions of their roles in this process. This study was conducted using a qualitative descriptive methodology to explore patients' perceptions of their roles in setting goals in a spinal cord injury regional rehabilitation program. Imogene King's theory of goal attainment was used to frame the study. Data were collected through interviews and analyzed using a content analysis. The results revealed four themes: Visioning, Redefining, Brainstorming, and Rebuilding Participants (n = 13) envisioned their roles as setting an overarching priority goal, defining detailed rehabilitation goals, sharing knowledge with the team, and rebuilding skills to attain goals. Implications for nursing practice include the need to understand patients' experiences and perceptions, share knowledge, and support effective communication to promote collaborative goal setting. A need to enhance health professionals' education to fully understand factors influencing patients' abilities to set rehabilitation goals, and future research in methods to promote patients' engagement in goal setting was also clearly indicated.

Modernization and unification: Strategic goals for NASA STI program

Science.gov (United States)

Blados, W.; Cotter, Gladys A.

1993-01-01

Information is increasingly becoming a strategic resource in all societies and economies. The NASA Scientific and Technical Information (STI) Program has initiated a modernization program to address the strategic importance and changing characteristics of information. This modernization effort applies new technology to current processes to provide near-term benefits to the user. At the same time, we are developing a long-term modernization strategy designed to transition the program to a multimedia, global 'library without walls.' Notwithstanding this modernization program, it is recognized that no one information center can hope to collect all the relevant data. We see information and information systems changing and becoming more international in scope. We are finding that many nations are expending resources on national systems which duplicate each other. At the same time that this duplication exists, many useful sources of aerospace information are not being collected because of resource limitations. If nations cooperate to develop an international aerospace information system, resources can be used efficiently to cover expanded sources of information. We must consider forming a coalition to collect and provide access to disparate, multidisciplinary sources of information, and to develop standardized tools for documenting and manipulating this data and information. In view of recent technological developments in information science and technology, as well as the reality of scarce resources in all nations, it is time to explore the mutually beneficial possibilities offered by cooperation and international resource sharing. International resources need to be mobilized in a coordinated manner to move us towards this goal. This paper reviews the NASA modernization program and raises for consideration new possibilities for unification of the various aerospace database efforts toward a cooperative international aerospace database initiative that can optimize the cost

Linking quality goals and product development competences

DEFF Research Database (Denmark)

Olsen, Johanne Rønnow; Harmsen, Hanne; Friis, Alan

2008-01-01

Quality is a main determinant of consumer food choice. Product development is accordingly a key activity for companies, because it generates the products on the quality of which consumer choices are based. In this respect, product development managers have a focal role, as their personal quality......, including reversed laddering sessions with 18 product development managers. Discrepancies between managerial and consumer quality goals are uncovered. Furthermore, the results point to two general dilemmas faced by product development managers in relation to quality; an external stakeholder dilemma...... orientation influence the way product development is performed. The aim of this paper is to investigate managerial quality goals and how these may be linked to product development competences, which has not previously been studied. The study draws on an empirical, qualitative study in the Danish food industry...

Why and How Do Parents Decide to Send Their Children to the Interdistrict School Choice Program at the Magnet Program for Math and Science

Science.gov (United States)

Doyle, Kevin S.

The New Jersey Interdistrict School Choice Program allows parents to send their students to schools outside of their local school district. Determining why parents send their students to choice schools is important to school leaders who are trying to attract new students, as well as those who are trying to retain their current students. This study examined the reasons why parents decided to send their students to the Magnet Program for Math and Science (MP4M&S), a school choice program in a suburban school district in northwest New Jersey, during the 2015- 2016 school year. A large volume of research has focused on school choice programs in urban and poor communities. This study addressed the gap in the research by focusing on an affluent suburban school district. This mixed methods study focused on three areas, why parents choose to send their students to the MP4M&S, what criteria they used to make their decision, and where they got their information. Research shows that these three areas of focus can be influenced by parental level of education, socioeconomic status, geographic location, academic rigor, school quality, and school environment. Parents from different groups, based upon their out-of-district status, were interviewed. The information from the interviews was used to focus a survey that was given to the families of all 137 students in the MP4M&S during the 2015-2016 school year. The results of this study show that parents found the academic focus, academic rigor, the school environment, the original research project, the activity offerings, and the economics involved in attending the program to be important attractors. The study also found that the Information Nights, the school website, and interactions with members of the MP4M&S community to be important sources of information. Finally, the study found that there were few differences between in and out-of-district parents when assigning importance to both the attractors and the sources in the study

Arranging the assortment to arouse choice : Effects of goal-relevant assortment organization on food choice and variety perceptions

NARCIS (Netherlands)

van Herpen, E.; Bosmans, Anick

Food retailers can present specific products in a separate category (e.g., separate section for organic products) or integrated into the mainstream shelf. This study investigates how assortment organization influences consumers’ variety perceptions and product choice. We argue and show that when an

Adaptation of Lean Six Sigma Methodologies for the Evaluation of Veterans Choice Program at 3 Urban Veterans Affairs Medical Centers.

Science.gov (United States)

Ball, Sherry L; Stevenson, Lauren D; Ladebue, Amy C; McCreight, Marina S; Lawrence, Emily C; Oestreich, Taryn; Lambert-Kerzner, Anne C

2017-07-01

The Veterans Health Administration (VHA) is adapting to meet the changing needs of our Veterans. VHA leaders are promoting quality improvement strategies including Lean Six Sigma (LSS). This study used LSS tools to evaluate the Veterans Choice Program (VCP), a program that aims to improve access to health care services for eligible Veterans by expanding health care options to non-VHA providers. LSS was utilized to assess the current process and efficiency patterns of the VCP at 3 VHA Medical Centers. LSS techniques were used to assess data obtained through semistructured interviews with Veterans, staff, and providers to describe and evaluate the VCP process by identifying wastes and defects. The LSS methodology facilitated the process of targeting priorities for improvement and constructing suggestions to close identified gaps and inefficiencies. Identified key process wastes included inefficient exchange of clinical information between stakeholders in and outside of the VHA; poor dissemination of VCP programmatic information; shortages of VCP-participating providers; duplication of appointments; declines in care coordination; and lack of program adaptability to local processes. Recommendations for improvement were formulated using LSS. This evaluation illustrates how LSS can be utilized to assess a nationally mandated health care program. By focusing on stakeholder, staff, and Veteran perspectives, process defects in the VCP were identified and improvement recommendations were made. However, the current LSS language used is not intuitive in health care and similar applications of LSS may consider using new language and goals adapted specifically for health care.

Understanding Swedish dairy farmers’ view on breeding goals - ethical aspects of longevity

DEFF Research Database (Denmark)

Röcklinsberg, H.; Gamborg, Christian; Gjerris, Mickey

2016-01-01

What values underlie farmers’ choice of breeding goals? Typical dairy breeding goals cover production traits (e.g. yield, feed conversion, and lactation curve) and functional traits (e.g. leg health, fertility and calving ability). One central and multifunctional trait correlated to all these tra......What values underlie farmers’ choice of breeding goals? Typical dairy breeding goals cover production traits (e.g. yield, feed conversion, and lactation curve) and functional traits (e.g. leg health, fertility and calving ability). One central and multifunctional trait correlated to all...... these traits is longevity. Even so, dairy cows in Sweden are culled on average after only 2.4 lactations (about 4.5 years of age) i.e. before the housing and management of the heifer has paid off. Reasons for culling given in the literature include infertility, mastitis, disease or leg and claw problems......, but also problems related to resources like milking system or grazing and to management practices like herd size or pasture management. Farmers’ practice varies depending on their values or attitudes, farm size and breed, but no previous study has mapped their values underlying choice of breeding goals...

Does students' exposure to gender discrimination and sexual harassment in medical school affect specialty choice and residency program selection?

Science.gov (United States)

Stratton, Terry D; McLaughlin, Margaret A; Witte, Florence M; Fosson, Sue E; Nora, Lois Margaret

2005-04-01

To examine the role of gender discrimination and sexual harassment in medical students' choice of specialty and residency program. Anonymous, self-administered questionnaires were distributed in 1997 to fourth-year students enrolled in 14 public and private U.S. medical schools. In addition to reporting the frequency of gender discrimination and sexual harassment encountered during preclinical coursework, core clerkships, elective clerkships, and residency selection, students assessed the impact of these exposures (none, a little, some, quite a bit, the deciding factor) on their specialty choices and rankings of residency programs. A total of 1,314 (69%) useable questionnaires were returned. Large percentages of men (83.2%) and women (92.8%) experienced, observed, or heard about at least one incident of gender discrimination and sexual harassment during medical school, although more women reported such behavior across all training contexts. Compared with men, significantly (p harassment influenced their specialty choices (45.3% versus 16.4%) and residency rankings (25.3% versus 10.9%). Across all specialties, more women than men experienced gender discrimination and sexual harassment during residency selection, with one exception: a larger percentage of men choosing obstetrics and gynecology experienced such behavior. Among women, those choosing general surgery were most likely to experience gender discrimination and sexual harassment during residency selection. Interestingly, correlations between exposure to gender discrimination and sexual harassment and self-assessed impact on career decisions tended to be larger for men, suggesting that although fewer men are generally affected, they may weigh such experiences more heavily in their choice of specialty and residency program. This study suggests that exposure to gender discrimination and sexual harassment during undergraduate education may influence some medical students' choice of specialty and, to a lesser

Dynamic decision making with feasibility goals : A procedural-rationality approach

NARCIS (Netherlands)

Binswanger, J.

2011-01-01

This paper proposes a new framework of intertemporal choice: decision making by means of so-called feasibility goals. These refer to the feasibility of certain target levels of consumption associated with specific future benchmark scenarios. The feasibility goals framework takes into account

Leadership styles and occupational stress among college athletic directors: the moderating effect of program goals.

Science.gov (United States)

Ryska, Todd A

2002-03-01

The interaction between an individual's abilities and the perceived demands of the workplace appears to make a unique contribution to job-related stress above and beyond that of dispositional or situational factors alone (R. S. Lazarus, 1990). In the present study, the author evaluated this contention among 245 male intercollegiate athletic directors by assessing the combined influence of leadership style and program goals on occupational stress. Regression analyses revealed the presence of both significant main effects and interaction effects of leadership style and program goals in the prediction of emotional exhaustion, daily job stress, and personal accomplishment. Findings are discussed in terms of person-environment fit theory (J. R. P. French, R. D. Caplan, & R. V. Harrison, 1982) and the notion of perceived control within the occupational setting.

Fuzzy preference based interactive fuzzy physical programming and its application in multi-objective optimization

International Nuclear Information System (INIS)

Zhang, Xu; Huang, Hong Zhong; Yu, Lanfeng

2006-01-01

Interactive Fuzzy Physical Programming (IFPP) developed in this paper is a new efficient multi-objective optimization method, which retains the advantages of physical programming while considering the fuzziness of the designer's preferences. The fuzzy preference function is introduced based on the model of linear physical programming, which is used to guide the search for improved solutions by interactive decision analysis. The example of multi-objective optimization design of the spindle of internal grinder demonstrates that the improved preference conforms to the subjective desires of the designer

Three-Year Improvements in Weight Status and Weight-Related Behaviors in Middle School Students: The Healthy Choices Study.

Directory of Open Access Journals (Sweden)

Karen E Peterson

Full Text Available Few dissemination evaluations exist to document the effectiveness of evidence-based childhood obesity interventions outside the research setting.Evaluate Healthy Choices (HC, a multi-component obesity prevention program, by examining school-level changes in weight-related behaviors and weight status and the association of implementation components with odds of overweight/obesity.We compared baseline and Year 3 school-level behavioral and weight status outcomes with paired t-tests adjusted for schools' socio-demographic characteristics. We used generalized estimating equations to examine the odds of overweight/obesity associated with program components.Consecutive sample of 45 of 51 middle schools participating in the HC program with complete baseline and follow-up survey data including a subsample of 35 schools with measured anthropomentry for 5,665 7th grade students.Schools developed a multi-disciplinary team and implemented an obesity prevention curriculum, before and after school activities, environmental and policy changes and health promotions targeting a 5-2-1 theme: eat ≥ 5 servings/day of fruits and vegetables (FV, watch ≤ 2 hours of television (TV and participate in ≥ 1 hours/day of physical activity (PA on most days.1 School-level percent of students achieving targeted behaviors and percent overweight/obese; and 2 individual odds of overweight/obesity.The percent achieving behavioral goals over three years increased significantly for FV: 16.4 to 19.4 (p = 0.001, TV: 53.4 to 58.2 (p = 0.003 and PA: 37.1 to 39.9 (p = 0.02, adjusting for school size, baseline mean age and percent female, non-Hispanic White, and eligible for free and reduced price lunch. In 35 schools with anthropometry, the percent of overweight/obese 7th grade students decreased from 42.1 to 38.4 (p = 0.016. Having a team that met the HC definition was associated with lower odds of overweight/obesity (OR = 0.83, CI: 0.71-0.98.The HC multi-component intervention

Parameter estimation of an ARMA model for river flow forecasting using goal programming

Science.gov (United States)

Mohammadi, Kourosh; Eslami, H. R.; Kahawita, Rene

2006-11-01

SummaryRiver flow forecasting constitutes one of the most important applications in hydrology. Several methods have been developed for this purpose and one of the most famous techniques is the Auto regressive moving average (ARMA) model. In the research reported here, the goal was to minimize the error for a specific season of the year as well as for the complete series. Goal programming (GP) was used to estimate the ARMA model parameters. Shaloo Bridge station on the Karun River with 68 years of observed stream flow data was selected to evaluate the performance of the proposed method. The results when compared with the usual method of maximum likelihood estimation were favorable with respect to the new proposed algorithm.

A conceptual model for determining career choice of CHROME alumna based on farmer's conceptual models

Science.gov (United States)

Moore, Lisa Simmons

This qualitative program evaluation examines the career decision-making processes and career choices of nine, African American women who participated in the Cooperating Hampton Roads Organization for Minorities in Engineering (CHROME) and who graduated from urban, rural or suburban high schools in the year 2000. The CHROME program is a nonprofit, pre-college intervention program that encourages underrepresented minority and female students to enter science, technically related, engineering, and math (STEM) career fields. The study describes career choices and decisions made by each participant over a five-year period since high school graduation. Data was collected through an Annual Report, Post High School Questionnaires, Environmental Support Questionnaires, Career Choice Questionnaires, Senior Reports, and standardized open-ended interviews. Data was analyzed using a model based on Helen C. Farmer's Conceptual Models, John Ogbu's Caste Theory and Feminist Theory. The CHROME program, based on its stated goals and tenets, was also analyzed against study findings. Findings indicated that participants received very low levels of support from counselors and teachers to pursue STEM careers and high levels of support from parents and family, the CHROME program and financial backing. Findings of this study also indicated that the majority of CHROME alumna persisted in STEM careers. The most successful participants, in terms of undergraduate degree completion and occupational prestige, were the African American women who remained single, experienced no critical incidents, came from a middle class to upper middle class socioeconomic background, and did not have children.

Chance-constrained multi-objective optimization of groundwater remediation design at DNAPLs-contaminated sites using a multi-algorithm genetically adaptive method

Science.gov (United States)

Ouyang, Qi; Lu, Wenxi; Hou, Zeyu; Zhang, Yu; Li, Shuai; Luo, Jiannan

2017-05-01

In this paper, a multi-algorithm genetically adaptive multi-objective (AMALGAM) method is proposed as a multi-objective optimization solver. It was implemented in the multi-objective optimization of a groundwater remediation design at sites contaminated by dense non-aqueous phase liquids. In this study, there were two objectives: minimization of the total remediation cost, and minimization of the remediation time. A non-dominated sorting genetic algorithm II (NSGA-II) was adopted to compare with the proposed method. For efficiency, the time-consuming surfactant-enhanced aquifer remediation simulation model was replaced by a surrogate model constructed by a multi-gene genetic programming (MGGP) technique. Similarly, two other surrogate modeling methods-support vector regression (SVR) and Kriging (KRG)-were employed to make comparisons with MGGP. In addition, the surrogate-modeling uncertainty was incorporated in the optimization model by chance-constrained programming (CCP). The results showed that, for the problem considered in this study, (1) the solutions obtained by AMALGAM incurred less remediation cost and required less time than those of NSGA-II, indicating that AMALGAM outperformed NSGA-II. It was additionally shown that (2) the MGGP surrogate model was more accurate than SVR and KRG; and (3) the remediation cost and time increased with the confidence level, which can enable decision makers to make a suitable choice by considering the given budget, remediation time, and reliability.

Scheduler-specific Confidentiality for Multi-Threaded Programs and Its Logic-Based Verification

NARCIS (Netherlands)

Huisman, Marieke; Ngo, Minh Tri

2011-01-01

Observational determinism has been proposed in the literature as a way to ensure confidentiality for multi-threaded programs. Intuitively, a program is observationally deterministic if the behavior of the public variables is deterministic, i.e., independent of the private variables and the

Scheduler-Specific Confidentiality for Multi-Threaded Programs and Its Logic-Based Verification

NARCIS (Netherlands)

Huisman, Marieke; Ngo, Minh Tri; Beckert, B.; Damiani, F.; Gurov, D.

2012-01-01

Observational determinism has been proposed in the literature as a way to ensure condentiality for multi-threaded programs. Intuitively, a program is observationally deterministic if the behavior of the public variables is deterministic, i.e., independent of the private variables and the scheduling

Towards Automatic Controller Design using Multi-Objective Evolutionary Algorithms

DEFF Research Database (Denmark)

Pedersen, Gerulf

of evolutionary computation, a choice was made to use multi-objective algorithms for the purpose of aiding in automatic controller design. More specifically, the choice was made to use the Non-dominated Sorting Genetic Algorithm II (NSGAII), which is one of the most potent algorithms currently in use...... for automatic controller design. However, because the field of evolutionary computation is relatively unknown in the field of control engineering, this thesis also includes a comprehensive introduction to the basic field of evolutionary computation as well as a description of how the field has previously been......In order to design the controllers of tomorrow, a need has risen for tools that can aid in the design of these. A desire to use evolutionary computation as a tool to achieve that goal is what gave inspiration for the work contained in this thesis. After having studied the foundations...

Mixed-integer programming methods for transportation and power generation problems

Science.gov (United States)

Damci Kurt, Pelin

This dissertation conducts theoretical and computational research to solve challenging problems in application areas such as supply chain and power systems. The first part of the dissertation studies a transportation problem with market choice (TPMC) which is a variant of the classical transportation problem in which suppliers with limited capacities have a choice of which demands (markets) to satisfy. We show that TPMC is strongly NP-complete. We consider a version of the problem with a service level constraint on the maximum number of markets that can be rejected and show that if the original problem is polynomial, its cardinality-constrained version is also polynomial. We propose valid inequalities for mixed-integer cover and knapsack sets with variable upper bound constraints, which appear as substructures of TPMC and use them in a branch-and-cut algorithm to solve this problem. The second part of this dissertation studies a unit commitment (UC) problem in which the goal is to minimize the operational cost of power generators over a time period subject to physical constraints while satisfying demand. We provide several exponential classes of multi-period ramping and multi-period variable upper bound inequalities. We prove the strength of these inequalities and describe polynomial-time separation algorithms. Computational results show the effectiveness of the proposed inequalities when used as cuts in a branch-and-cut algorithm to solve the UC problem. The last part of this dissertation investigates the effects of uncertain wind power on the UC problem. A two-stage robust model and a three-stage stochastic program are compared.

Solving the Single-Sink, Fixed-Charge, Multiple-Choice Transportation Problem by Dynamic Programming

DEFF Research Database (Denmark)

Christensen, Tue; Andersen, Kim Allan; Klose, Andreas

2013-01-01

This paper considers a minimum-cost network flow problem in a bipartite graph with a single sink. The transportation costs exhibit a staircase cost structure because such types of transportation cost functions are often found in practice. We present a dynamic programming algorithm for solving...... this so-called single-sink, fixed-charge, multiple-choice transportation problem exactly. The method exploits heuristics and lower bounds to peg binary variables, improve bounds on flow variables, and reduce the state-space variable. In this way, the dynamic programming method is able to solve large...... instances with up to 10,000 nodes and 10 different transportation modes in a few seconds, much less time than required by a widely used mixed-integer programming solver and other methods proposed in the literature for this problem....

Landlord Program multi-year program plan fiscal year 1995 WBS 7.5

International Nuclear Information System (INIS)

Young, C.L.

1994-01-01

The Landlord Program mission is to maintain, preserve, or upgrade the strategic assets of the Hanford Site to meet the overall cleanup mission. This encompasses innovative, appropriate, and cost effective general purpose infrastructure support, services, and long range strategic site planning that is the foundation for seven major Hanford programs. These programs are (1) Environmental Restoration, (2) Tank Waste Remediation System, (3) Solid/Liquid Waste Decontamination, (4) Facility Transition, (5) Spent Fuel, (6) Technology Development, and (7) the Multi-Program Laboratory. General infrastructure support consists of facilities, systems, and equipment that by design or use are not essentially dedicated to a single program mission. Facilities include laboratories, shops, warehouses, and general work space. Systems include electrical, process sewers, rail, roads, telecommunications, water, fire and emergency response, and steam supply and distribution. Funding also supports capital equipment critical to maintaining, upgrading, or operating the general infrastructure. Paramount to these objectives is compliance with all applicable laws, orders, agreements, codes, standards, best management and safety practices. The objectives for general infrastructure support are reflected in five programmatic functions, (1) Program Integration, (2) Capital Equipment, (3) Expense Funded Projects, (4) General Plant Projects, and (5) Line Items

Health promotion messages: the role of social presence for food choices.

Science.gov (United States)

Bittner, Jenny V; Kulesz, Micaela M

2015-04-01

We investigated whether social presence cues encourage consumers to self-regulate and select healthier food products. In the first experiment, workers completed food choices in an e-commerce environment. After the activation of health-related goals, they saw a social presence cue and were asked to choose between healthy and unhealthy food options. The analyses revealed main effects of social presence and health goal activation on food choices. These effects were additive, such that the combination of social presence and health goals induced significantly healthier choices compared with the control group. The second experiment further examined social presence cues that were presented on a menu. The results showed significant effects on food choices and on the perceived self-regulatory success in dieting. These findings indicate that social presence cues could be employed to increase healthful eating and, furthermore, that it may be useful to co-activate multiple cues in health promotion messages. Copyright © 2015 Elsevier Ltd. All rights reserved.

Goal-Directed Decision Making with Spiking Neurons.

Science.gov (United States)

Friedrich, Johannes; Lengyel, Máté

2016-02-03

Behavioral and neuroscientific data on reward-based decision making point to a fundamental distinction between habitual and goal-directed action selection. The formation of habits, which requires simple updating of cached values, has been studied in great detail, and the reward prediction error theory of dopamine function has enjoyed prominent success in accounting for its neural bases. In contrast, the neural circuit mechanisms of goal-directed decision making, requiring extended iterative computations to estimate values online, are still unknown. Here we present a spiking neural network that provably solves the difficult online value estimation problem underlying goal-directed decision making in a near-optimal way and reproduces behavioral as well as neurophysiological experimental data on tasks ranging from simple binary choice to sequential decision making. Our model uses local plasticity rules to learn the synaptic weights of a simple neural network to achieve optimal performance and solves one-step decision-making tasks, commonly considered in neuroeconomics, as well as more challenging sequential decision-making tasks within 1 s. These decision times, and their parametric dependence on task parameters, as well as the final choice probabilities match behavioral data, whereas the evolution of neural activities in the network closely mimics neural responses recorded in frontal cortices during the execution of such tasks. Our theory provides a principled framework to understand the neural underpinning of goal-directed decision making and makes novel predictions for sequential decision-making tasks with multiple rewards. Goal-directed actions requiring prospective planning pervade decision making, but their circuit-level mechanisms remain elusive. We show how a model circuit of biologically realistic spiking neurons can solve this computationally challenging problem in a novel way. The synaptic weights of our network can be learned using local plasticity rules

An iterative method for tri-level quadratic fractional programming problems using fuzzy goal programming approach

Science.gov (United States)

Kassa, Semu Mitiku; Tsegay, Teklay Hailay

2017-08-01

Tri-level optimization problems are optimization problems with three nested hierarchical structures, where in most cases conflicting objectives are set at each level of hierarchy. Such problems are common in management, engineering designs and in decision making situations in general, and are known to be strongly NP-hard. Existing solution methods lack universality in solving these types of problems. In this paper, we investigate a tri-level programming problem with quadratic fractional objective functions at each of the three levels. A solution algorithm has been proposed by applying fuzzy goal programming approach and by reformulating the fractional constraints to equivalent but non-fractional non-linear constraints. Based on the transformed formulation, an iterative procedure is developed that can yield a satisfactory solution to the tri-level problem. The numerical results on various illustrative examples demonstrated that the proposed algorithm is very much promising and it can also be used to solve larger-sized as well as n-level problems of similar structure.

The Effects of Methylphenidate on Goal-Directed Behavior in a Rat Model of ADHD

Directory of Open Access Journals (Sweden)

Joman Y. Natsheh

2015-11-01

Full Text Available Although attentional and motor alterations in Attention Deficit Hyperactivity Disorder (ADHD have been well characterized, less is known about how this disorder impacts goal-directed behavior. To investigate whether there is a misbalance between goal-directed and habitual behaviors in an animal model of ADHD, we tested adult [P75-P105] Spontaneously Hypertensive Rats (SHR (ADHD rat model and Wistar-Kyoto rats (WKY, the normotensive control strain, on an instrumental conditioning paradigm with two phases: a free-operant training phase in which rats separately acquired two distinct action-outcome contingencies, and a choice test conducted in extinction prior to which one of the food outcomes was devalued through specific satiety. To assess the effects of Methylphenidate, a commonly used ADHD medication, on goal-directed behavior, we injected rats with either Methylphenidate or saline prior to the choice test. Both rat strains acquired an instrumental response, with SHR responding at greater rates over the course of training. During the choice test WKY demonstrated goal-directed behavior, responding more frequently on the lever that delivered, during training, the still-valued outcome. In contrast, SHR showed no goal-directed behavior, responding equally on both levers. However, methylphenidate administration prior to the choice test restored goal-directed behavior in SHR, and disrupted this behavior in WKY rats. This study provides the first experimental evidence for selective impairment in goal-directed behavior in rat models of ADHD, and how methylphenidate acts differently on SHR and WKY animals to restore or impair this behavior, respectively.

Multi-Language and Multi-Purpose Educational Tool for Kids

DEFF Research Database (Denmark)

Holmen, Hee; Valente, Andrea; Marchetti, E.

2005-01-01

‘Crazipes’ is one of the prototype games within SMAALL, a multi-language and multi-purpose games project for young kids of age 3-5 years old. The main goal of SMAALL is to expose young learners in multi-purpose and multi-module games. In the prototype of Crazipes, the game is designed to teach fo...

Multi-objective optimization of cellular scanning strategy in selective laser melting

DEFF Research Database (Denmark)

Ahrari, Ali; Deb, Kalyanmoy; Mohanty, Sankhya

2017-01-01

The scanning strategy for selective laser melting - an additive manufacturing process - determines the temperature fields during the manufacturing process, which in turn affects residual stresses and distortions, two of the main sources of process-induced defects. The goal of this study is to dev......The scanning strategy for selective laser melting - an additive manufacturing process - determines the temperature fields during the manufacturing process, which in turn affects residual stresses and distortions, two of the main sources of process-induced defects. The goal of this study......, the problem is a combination of combinatorial and choice optimization, which makes the problem difficult to solve. On a process simulation domain consisting of 32 cells, our multi-objective evolutionary method is able to find a set of trade-off solutions for the defined conflicting objectives, which cannot...

THE MULTIPLE CHOICE PROBLEM WITH INTERACTIONS BETWEEN CRITERIA

Directory of Open Access Journals (Sweden)

Luiz Flavio Autran Monteiro Gomes

2015-12-01

Full Text Available ABSTRACT An important problem in Multi-Criteria Decision Analysis arises when one must select at least two alternatives at the same time. This can be denoted as a multiple choice problem. In other words, instead of evaluating each of the alternatives separately, they must be combined into groups of n alternatives, where n = 2. When the multiple choice problem must be solved under multiple criteria, the result is a multi-criteria, multiple choice problem. In this paper, it is shown through examples how this problemcan be tackled on a bipolar scale. The Choquet integral is used in this paper to take care of interactions between criteria. A numerical application example is conducted using data from SEBRAE-RJ, a non-profit private organization that has the mission of promoting competitiveness, sustainable developmentand entrepreneurship in the state of Rio de Janeiro, Brazil. The paper closes with suggestions for future research.

School Choice and the Achievement Gap

Science.gov (United States)

Jeynes, William H.

2014-01-01

The possibility is examined that school choice programs could be a means to reducing the achievement gap. Data based on meta-analytic research and the examination of nationwide data sets suggest that school choice programs that include private schools could reduce the achievement gap by 25%. The propounding of this possibility is based on research…

The Multi-Agent Transport Simulation MATSim

OpenAIRE

Horni Andreas; Nagel Kai; Axhausen Kay W.

2016-01-01

"The MATSim (Multi-Agent Transport Simulation) software project was started around 2006 with the goal of generating traffic and congestion patterns by following individual synthetic travelers through their daily or weekly activity programme. It has since then evolved from a collection of stand-alone C++ programs to an integrated Java-based framework which is publicly hosted, open-source available, automatically regression tested. It is currently used by about 40 groups throughout the world. T...

Does race really matter? Career goals, perceptions of criminal justice practitioners and competence among criminal justice undergraduates

Directory of Open Access Journals (Sweden)

Youngyol Y. Schanz

2013-06-01

Full Text Available This study examines whether race or ethnicity affects student decision-making pertaining to career goals and choices. The career goals and choices of undergraduates in criminal justice (CJ were surveyed in early spring of 2006. The research also investigates students’ perceptions of their own perceived competence as future CJ practitioners. Data were collected from CJ undergraduates from an urban university in the upper Midwestern part of the U.S. The results indicate that racial or ethnic minority students have significantly different career goals and choices than those of non-minority students. Some future research implications and policy implications are discussed.

Optimizing survivability of multi-state systems with multi-level protection by multi-processor genetic algorithm

International Nuclear Information System (INIS)

Levitin, Gregory; Dai Yuanshun; Xie Min; Leng Poh, Kim

2003-01-01

In this paper we consider vulnerable systems which can have different states corresponding to different combinations of available elements composing the system. Each state can be characterized by a performance rate, which is the quantitative measure of a system's ability to perform its task. Both the impact of external factors (stress) and internal causes (failures) affect system survivability, which is determined as probability of meeting a given demand. In order to increase the survivability of the system, a multi-level protection is applied to its subsystems. This means that a subsystem and its inner level of protection are in their turn protected by the protection of an outer level. This double-protected subsystem has its outer protection and so forth. In such systems, the protected subsystems can be destroyed only if all of the levels of their protection are destroyed. Each level of protection can be destroyed only if all of the outer levels of protection are destroyed. We formulate the problem of finding the structure of series-parallel multi-state system (including choice of system elements, choice of structure of multi-level protection and choice of protection methods) in order to achieve a desired level of system survivability by the minimal cost. An algorithm based on the universal generating function method is used for determination of the system survivability. A multi-processor version of genetic algorithm is used as optimization tool in order to solve the structure optimization problem. An application example is presented to illustrate the procedure presented in this paper

Towards a Unified Programming Language

DEFF Research Database (Denmark)

Madsen, Ole Lehrmann

2000-01-01

style and where more research is needed. In addition to traditional paradigms such as object-oriented-, imperative-functional- and logic programming, we also discuss concurrent programming and prototype-based programming. We discuss language features such as the BETA pattern construct, virtual......The goal of research in programming languages should be to develop languages that integrates the best of concepts and constructs from the various programming paradigms. We do not argue for a multi-paradigm language, where the programmer alternates between the different paradigms/styles. Instead, we...... procedures and classes, higher order classes, methods and functions, part objects, block-structure, and class-less objects....

Invitation Choice Structure Has No Impact on Attendance in a Female Business Training Program in Kenya

Science.gov (United States)

Diwan, Faizan; Makana, Grace; McKenzie, David; Paruzzolo, Silvia

2014-01-01

Business training programs are a common form of support to small businesses, but organizations providing this training often struggle to get business owners to attend. We evaluate the role of invitation choice structure in determining agreement to participate and actual attendance. A field experiment randomly assigned female small business owners in Kenya (N = 1172) to one of three invitation types: a standard opt-in invitation; an active choice invitation where business owners had to explicitly say yes or no to the invitation; and an enhanced active choice invitation which highlighted the costs of saying no. We find no statistically significant effect of these alternative choice structures on willingness to participate in training, attending at least one day, and completing the course. The 95 percent confidence interval for the active treatment effect on attendance is [−1.9%, +9.5%], while for the enhanced active choice treatment it is [−4.1%, +7.7%]. The effect sizes consistent with our data are smaller than impacts measured in health and retirement savings studies in the United States. We examine several potential explanations for the lack of effect in a developing country setting. We find evidence consistent with two potential reasons being limited decision-making power amongst some women, and lower levels of cognition making the enhanced active choice wording less effective. PMID:25299647

Invitation choice structure has no impact on attendance in a female business training program in Kenya.

Science.gov (United States)

Diwan, Faizan; Makana, Grace; McKenzie, David; Paruzzolo, Silvia

2014-01-01

Business training programs are a common form of support to small businesses, but organizations providing this training often struggle to get business owners to attend. We evaluate the role of invitation choice structure in determining agreement to participate and actual attendance. A field experiment randomly assigned female small business owners in Kenya (N = 1172) to one of three invitation types: a standard opt-in invitation; an active choice invitation where business owners had to explicitly say yes or no to the invitation; and an enhanced active choice invitation which highlighted the costs of saying no. We find no statistically significant effect of these alternative choice structures on willingness to participate in training, attending at least one day, and completing the course. The 95 percent confidence interval for the active treatment effect on attendance is [-1.9%, +9.5%], while for the enhanced active choice treatment it is [-4.1%, +7.7%]. The effect sizes consistent with our data are smaller than impacts measured in health and retirement savings studies in the United States. We examine several potential explanations for the lack of effect in a developing country setting. We find evidence consistent with two potential reasons being limited decision-making power amongst some women, and lower levels of cognition making the enhanced active choice wording less effective.

41 CFR 102-193.10 - What are the goals of the Federal Records Management Program?

Science.gov (United States)

2010-07-01

... 41 Public Contracts and Property Management 3 2010-07-01 2010-07-01 false What are the goals of the Federal Records Management Program? 102-193.10 Section 102-193.10 Public Contracts and Property Management Federal Property Management Regulations System (Continued) FEDERAL MANAGEMENT REGULATION...

A Goal Congruity Model of Role Entry, Engagement, and Exit: Understanding Communal Goal Processes in STEM Gender Gaps.

Science.gov (United States)

Diekman, Amanda B; Steinberg, Mia; Brown, Elizabeth R; Belanger, Aimee L; Clark, Emily K

2017-05-01

The goal congruity perspective provides a theoretical framework to understand how motivational processes influence and are influenced by social roles. In particular, we invoke this framework to understand communal goal processes as proximal motivators of decisions to engage in science, technology, engineering, and mathematics (STEM). STEM fields are not perceived as affording communal opportunities to work with or help others, and understanding these perceived goal affordances can inform knowledge about differences between (a) STEM and other career pathways and (b) women's and men's choices. We review the patterning of gender disparities in STEM that leads to a focus on communal goal congruity (Part I), provide evidence for the foundational logic of the perspective (Part II), and explore the implications for research and policy (Part III). Understanding and transmitting the opportunities for communal goal pursuit within STEM can reap widespread benefits for broadening and deepening participation.

The sweetness of successful goal pursuit: Approach-motivated pregoal states enhance the reward positivity during goal pursuit.

Science.gov (United States)

Threadgill, A Hunter; Gable, Philip A

2017-12-21

Traditionally, the reward positivity (RewP) is thought to index a binary performance monitoring system sensitive to approach motivation. However, recent theoretical models have argued that feedback processing extends beyond simple "good" vs. "bad" associations, such that performance monitoring incorporates the complex, multi-step sequence of behaviors often necessary to attain rewards. The present study sought to go beyond simple stimulus-response paradigms to examine how approach-motivated states occurring in multi-step goal pursuit impacts the RewP. Additionally, outcome frequency was varied to examine how the P3, a neural marker of expectancy, influences the RewP. Using a modified monetary incentive delay paradigm, participants played a reaction time game where multiple correct responses were required to attain a reward. Additionally, each trial had the potential for a reward (approach-motivated state) or no reward (neutral state). Results revealed that RewP amplitudes were larger after reward trial win feedback than after reward trial no-win feedback across multiple stages of goal pursuit. Additionally, after for controlling outcome frequency via the P3, RewP amplitudes were larger in reward trials than in neutral trials across incremental stages of goal pursuit. The RewP appears to be sensitive to feedback indicating successfully completing sub-goals during pursuit of a goal, even when no immediate reward is given. Approach motivation enhances performance monitoring when multiple steps are needed to attain a desired outcome, which may increase the likelihood of goal acquisition and attainment. Copyright © 2017 Elsevier B.V. All rights reserved.

Scheduling elective surgeries: the tradeoff among bed capacity, waiting patients and operating room utilization using goal programming.

Science.gov (United States)

Li, Xiangyong; Rafaliya, N; Baki, M Fazle; Chaouch, Ben A

2017-03-01

Scheduling of surgeries in the operating rooms under limited competing resources such as surgical and nursing staff, anesthesiologist, medical equipment, and recovery beds in surgical wards is a complicated process. A well-designed schedule should be concerned with the welfare of the entire system by allocating the available resources in an efficient and effective manner. In this paper, we develop an integer linear programming model in a manner useful for multiple goals for optimally scheduling elective surgeries based on the availability of surgeons and operating rooms over a time horizon. In particular, the model is concerned with the minimization of the following important goals: (1) the anticipated number of patients waiting for service; (2) the underutilization of operating room time; (3) the maximum expected number of patients in the recovery unit; and (4) the expected range (the difference between maximum and minimum expected number) of patients in the recovery unit. We develop two goal programming (GP) models: lexicographic GP model and weighted GP model. The lexicographic GP model schedules operating rooms when various preemptive priority levels are given to these four goals. A numerical study is conducted to illustrate the optimal master-surgery schedule obtained from the models. The numerical results demonstrate that when the available number of surgeons and operating rooms is known without error over the planning horizon, the proposed models can produce good schedules and priority levels and preference weights of four goals affect the resulting schedules. The results quantify the tradeoffs that must take place as the preemptive-weights of the four goals are changed.

A multidisciplinary program for achieving lipid goals in chronic hemodialysis patients

Directory of Open Access Journals (Sweden)

McMillan Robichaud J

2002-11-01

Full Text Available Abstract Background There is little information on how target lipid levels can be achieved in end stage renal disease (ESRD patients in a systematic, multidisciplinary fashion. Methods We retrospectively reviewed a pharmacist-directed hyperlipidemia management program for chronic hemodialysis (HD patients. All 26 adult patients on chronic HD at a tertiary care medical facility were entered into the program. A clinical pharmacist was responsible for laboratory monitoring, patient counseling, and the initiation and dosage adjustment of an appropriate 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA reductase inhibitor (statin using a dosing algorithm and monitoring guidelines. The low-density lipoprotein (LDL cholesterol goal was ≤ 100 mg/dl. A renal dietitian provided nutrition counseling and the nephrologist was notified of potential or existing drug interactions or adverse drug reactions (ADRs. Patients received a flyer containing lipid panel results to encourage compliance. Data was collected at program initiation and for 6 months thereafter. Results At the start of the program, 58% of patients were at target LDL cholesterol. At 6 months, 88% had achieved target LDL (p = 0.015. Mean LDL cholesterol decreased from 96 ± 5 to 80 ± 3 mg/dl (p Conclusions Our findings demonstrate both feasibility and efficacy of a multidisciplinary approach in management of hyperlipidemia in HD patients.

Conserving energy in smallholder agriculture. A multi-objective programming case-study of northwest India

International Nuclear Information System (INIS)

Thankappan, Samarthia; Midmore, Peter; Jenkins, Tim

2006-01-01

In semi-arid conditions in Northwest India, smallholder agriculture has made increasing use of subsidised mechanisation and energy inputs to reduce short-term risks. However, detrimental environmental consequences have occurred, not least a rapidly falling water table, and energy-intensive production is threatened by the prospect of increasing scarcity and expense of energy supplies, especially as urban demands are forecast to grow rapidly. This paper describes the energy flows through four subsystems of smallholder agricultural villages: the crop system; non-crop land uses; livestock systems; and households. It employs a multi-objective programming model to demonstrate choices available for maximands either of net solar energy capture or financial surpluses. Applied to three villages selected to represent major settlement types in the Saurashtra region of Gujarat, the results demonstrate that both energy conservation and financial performance can be improved. Although these results need qualifying because of the reductionist, linear character of the model used, they do provide important insights into the cultural role of mechanisation and the influence of traditional agricultural practices. They also underline the need for local energy conservation strategies as part of an overall approach to improved self-determination in progress towards rural sustainability. (author)

UWALK: the development of a multi-strategy, community-wide physical activity program.

Science.gov (United States)

Jennings, Cally A; Berry, Tanya R; Carson, Valerie; Culos-Reed, S Nicole; Duncan, Mitch J; Loitz, Christina C; McCormack, Gavin R; McHugh, Tara-Leigh F; Spence, John C; Vallance, Jeff K; Mummery, W Kerry

2017-03-01

UWALK is a multi-strategy, multi-sector, theory-informed, community-wide approach using e and mHealth to promote physical activity in Alberta, Canada. The aim of UWALK is to promote physical activity, primarily via the accumulation of steps and flights of stairs, through a single over-arching brand. This paper describes the development of the UWALK program. A social ecological model and the social cognitive theory guided the development of key strategies, including the marketing and communication activities, establishing partnerships with key stakeholders, and e and mHealth programs. The program promotes the use of physical activity monitoring devices to self-monitor physical activity. This includes pedometers, electronic devices, and smartphone applications. In addition to entering physical activity data manually, the e and mHealth program provides the function for objective data to be automatically uploaded from select electronic devices (Fitbit®, Garmin and the smartphone application Moves) The RE-AIM framework is used to guide the evaluation of UWALK. Funding for the program commenced in February 2013. The UWALK brand was introduced on April 12, 2013 with the official launch, including the UWALK website on September 20, 2013. This paper describes the development and evaluation framework of a physical activity promotion program. This program has the potential for population level dissemination and uptake of an ecologically valid physical activity promotion program that is evidence-based and theoretically framed.

Disability and multi-state labour force choices with state dependence

OpenAIRE

Oguzoglu, Umut

2010-01-01

I use a dynamic mixed multinomial logit model with unobserved heterogeneity to study the impact of work limiting disabilities on disaggregated labour choices. The first seven waves of the Household Income and Labour Dynamics in Australia survey are used to investigate this relationship. Findings point out to strong state dependence in employment choices. Further, the impact of disability on employment outcomes is highly significant. Model simulations suggest that high cross and own state depe...

Fitting of full Cobb-Douglas and full VRTS cost frontiers by solving goal programming problem

Science.gov (United States)

Venkateswarlu, B.; Mahaboob, B.; Subbarami Reddy, C.; Madhusudhana Rao, B.

2017-11-01

The present research article first defines two popular production functions viz, Cobb-Douglas and VRTS production frontiers and their dual cost functions and then derives their cost limited maximal outputs. This paper tells us that the cost limited maximal output is cost efficient. Here the one side goal programming problem is proposed by which the full Cobb-Douglas cost frontier, full VRTS frontier can be fitted. This paper includes the framing of goal programming by which stochastic cost frontier and stochastic VRTS frontiers are fitted. Hasan et al. [1] used a parameter approach Stochastic Frontier Approach (SFA) to examine the technical efficiency of the Malaysian domestic banks listed in the Kuala Lumpur stock Exchange (KLSE) market over the period 2005-2010. AshkanHassani [2] exposed Cobb-Douglas Production Functions application in construction schedule crashing and project risk analysis related to the duration of construction projects. Nan Jiang [3] applied Stochastic Frontier analysis to a panel of New Zealand dairy forms in 1998/99-2006/2007.

Chance-constrained multi-objective optimization of groundwater remediation design at DNAPLs-contaminated sites using a multi-algorithm genetically adaptive method.

Science.gov (United States)

Ouyang, Qi; Lu, Wenxi; Hou, Zeyu; Zhang, Yu; Li, Shuai; Luo, Jiannan

2017-05-01

In this paper, a multi-algorithm genetically adaptive multi-objective (AMALGAM) method is proposed as a multi-objective optimization solver. It was implemented in the multi-objective optimization of a groundwater remediation design at sites contaminated by dense non-aqueous phase liquids. In this study, there were two objectives: minimization of the total remediation cost, and minimization of the remediation time. A non-dominated sorting genetic algorithm II (NSGA-II) was adopted to compare with the proposed method. For efficiency, the time-consuming surfactant-enhanced aquifer remediation simulation model was replaced by a surrogate model constructed by a multi-gene genetic programming (MGGP) technique. Similarly, two other surrogate modeling methods-support vector regression (SVR) and Kriging (KRG)-were employed to make comparisons with MGGP. In addition, the surrogate-modeling uncertainty was incorporated in the optimization model by chance-constrained programming (CCP). The results showed that, for the problem considered in this study, (1) the solutions obtained by AMALGAM incurred less remediation cost and required less time than those of NSGA-II, indicating that AMALGAM outperformed NSGA-II. It was additionally shown that (2) the MGGP surrogate model was more accurate than SVR and KRG; and (3) the remediation cost and time increased with the confidence level, which can enable decision makers to make a suitable choice by considering the given budget, remediation time, and reliability. Copyright © 2017 Elsevier B.V. All rights reserved.

45 CFR 98.30 - Parental choice.

Science.gov (United States)

2010-10-01

... Program Operations (Child Care Services)-Parental Rights and Responsibilities § 98.30 Parental choice. (a... category of care; or (2) Having the effect of limiting parental access to or choice from among such... 45 Public Welfare 1 2010-10-01 2010-10-01 false Parental choice. 98.30 Section 98.30 Public...

Making Healthy Choices Easier

DEFF Research Database (Denmark)

Guldborg Hansen, Pelle; Skov, Laurits Rohden; Lund Skov, Katrine

2016-01-01

. However, integration and testing of the nudge approach as part of more comprehensive public health strategies aimed at making healthy choices easier is being threatened by inadequate understandings of its scientific character, relationship with regulation and its ethical implications. This article reviews...... working with or incorporating the nudge approach into programs or policies aimed at making healthy choices easier...

School Choice Marches forward

Science.gov (United States)

Butcher, Jonathan

2013-01-01

One year ago, the "Wall Street Journal" dubbed 2011 "the year of school choice," opining that "this year is shaping up as the best for reformers in a very long time." School-choice laws took great strides in 2011, both in the number of programs that succeeded across states and also in the size and scope of the adopted…

Reducing the physician workforce crisis: Career choice and graduate medical education reform in an emerging Arab country.

Science.gov (United States)

Ibrahim, Halah; Nair, Satish Chandrasekhar; Shaban, Sami; El-Zubeir, Margaret

2016-01-01

In today's interdependent world, issues of physician shortages, skill imbalances and maldistribution affect all countries. In the United Arab Emirates (UAE), a nation that has historically imported its physician manpower, there is sustained investment in educational infrastructure to meet the population's healthcare needs. However, policy development and workforce planning are often hampered by limited data regarding the career choice of physicians-in-training. The purpose of this study was to determine the specialty career choice of applicants to postgraduate training programs in the UAE and factors that influence their decisions, in an effort to inform educational and health policy reform. To our knowledge, this is the first study of career preferences for UAE residency applicants. All applicants to residency programs in the UAE in 2013 were given an electronic questionnaire, which collected demographic data, specialty preference, and factors that affected their choice. Differences were calculated using the t-test statistic. Of 512 applicants, 378 participated (74%). The most preferred residency programs included internal medicine, pediatrics, emergency medicine and family medicine. A variety of clinical experience, academic reputation of the hospital, and international accreditation were leading determinants of career choice. Potential future income was not a significant contributing factor. Applicants to UAE residency programs predominantly selected primary care careers, with the exception of obstetrics. The results of this study can serve as a springboard for curricular and policy changes throughout the continuum of medical education, with the ultimate goal of training future generations of primary care clinicians who can meet the country's healthcare needs. As 65% of respondents trained in medical schools outside of the UAE, our results may be indicative of medical student career choice in countries throughout the Arab world.

Food Choice and Nutrition: A Social Psychological Perspective.

Science.gov (United States)

Hardcastle, Sarah J; Thøgersen-Ntoumani, Cecilie; Chatzisarantis, Nikos L D

2015-10-01

In this Special Issue, entitled "Food choice and Nutrition: A Social Psychological Perspective", three broad themes have been identified: (1) social and environmental influences on food choice; (2) psychological influences on eating behaviour; and (3) eating behaviour profiling.The studies that addressed the social and environmental influences indicated that further research would do well to promote positive food choices rather than reduce negative food choices; promote the reading and interpretation of food labels and find ways to effectively market healthy food choices through accessibility, availability and presentation. The studies on psychological influences found that intentions, perceived behavioural control, and confidence were predictors of healthy eating. Given the importance of psychological factors, such as perceived behavioural control and self-efficacy, healthy eating interventions should reduce barriers to healthy eating and foster perceptions of confidence to consume a healthy diet. The final theme focused on the clustering of individuals according to eating behaviour. Some "types" of individuals reported more frequent consumption of fast foods, ready meals or convenience meals or greater levels of disinhibitiona nd less control over food cravings. Intervention designs which make use of multi-level strategies as advocated by the Ecological Model of Behaviour change that proposes multi-level (combining psychological, social and environmental) strategies are likely to be more effective in reaching and engaging individuals susceptible to unhealthy eating habits than interventions operating on a single level.

Optimization of series-parallel multi-state systems under maintenance policies

International Nuclear Information System (INIS)

Nourelfath, Mustapha; Ait-Kadi, Daoud

2007-01-01

In the redundancy optimization problem, the design goal is achieved by discrete choices made from components available in the market. In this paper, the problem is to find, under reliability constraints, the minimal cost configuration of a multi-state series-parallel system, which is subject to a specified maintenance policy. The number of maintenance teams is less than the number of repairable components, and a maintenance policy specifies the priorities between the system components. To take into account the dependencies resulting from the sharing of maintenance teams, the universal generating function approach is coupled with a Markov model. The resulting optimization approach has the advantage of being mainly analytical

Food choices to meet nutrient recommendations for the adult Brazilian population based on the linear programming approach.

Science.gov (United States)

Dos Santos, Quenia; Sichieri, Rosely; Darmon, Nicole; Maillot, Matthieu; Verly-Junior, Eliseu

2018-06-01

To identify optimal food choices that meet nutritional recommendations to reduce prevalence of inadequate nutrient intakes. Linear programming was used to obtain an optimized diet with sixty-eight foods with the least difference from the observed population mean dietary intake while meeting a set of nutritional goals that included reduction in the prevalence of inadequate nutrient intakes to ≤20 %. Brazil. Participants (men and women, n 25 324) aged 20 years or more from the first National Dietary Survey (NDS) 2008-2009. Feasible solution to the model was not found when all constraints were imposed; infeasible nutrients were Ca, vitamins D and E, Mg, Zn, fibre, linolenic acid, monounsaturated fat and Na. Feasible solution was obtained after relaxing the nutritional constraints for these limiting nutrients by including a deviation variable in the model. Estimated prevalence of nutrient inadequacy was reduced by 60-70 % for most nutrients, and mean saturated and trans-fat decreased in the optimized diet meeting the model constraints. Optimized diet was characterized by increases especially in fruits (+92 g), beans (+64 g), vegetables (+43 g), milk (+12 g), fish and seafood (+15 g) and whole cereals (+14 g), and reductions of sugar-sweetened beverages (-90 g), rice (-63 g), snacks (-14 g), red meat (-13 g) and processed meat (-9·7 g). Linear programming is a unique tool to identify which changes in the current diet can increase nutrient intake and place the population at lower risk of nutrient inadequacy. Reaching nutritional adequacy for all nutrients would require major dietary changes in the Brazilian diet.

Educational Choice. A Background Paper.

Science.gov (United States)

Quality Education for Minorities Network, Washington, DC.

This paper addresses school choice, one proposal to address parental involvement concerns, focusing on historical background, definitions, rationale for advocating choice, implementation strategies, and implications for minorities and low-income families. In the past, transfer payment programs such as tuition tax credits and vouchers were…

Sequential and simultaneous choices: testing the diet selection and sequential choice models.

Science.gov (United States)

Freidin, Esteban; Aw, Justine; Kacelnik, Alex

2009-03-01

We investigate simultaneous and sequential choices in starlings, using Charnov's Diet Choice Model (DCM) and Shapiro, Siller and Kacelnik's Sequential Choice Model (SCM) to integrate function and mechanism. During a training phase, starlings encountered one food-related option per trial (A, B or R) in random sequence and with equal probability. A and B delivered food rewards after programmed delays (shorter for A), while R ('rejection') moved directly to the next trial without reward. In this phase we measured latencies to respond. In a later, choice, phase, birds encountered the pairs A-B, A-R and B-R, the first implementing a simultaneous choice and the second and third sequential choices. The DCM predicts when R should be chosen to maximize intake rate, and SCM uses latencies of the training phase to predict choices between any pair of options in the choice phase. The predictions of both models coincided, and both successfully predicted the birds' preferences. The DCM does not deal with partial preferences, while the SCM does, and experimental results were strongly correlated to this model's predictions. We believe that the SCM may expose a very general mechanism of animal choice, and that its wider domain of success reflects the greater ecological significance of sequential over simultaneous choices.

Exercise program adherence using a 5-kilometer (5K) event as an achievable goal in people with schizophrenia.

Science.gov (United States)

Warren, Kimberly R; Ball, M Patricia; Feldman, Stephanie; Liu, Fang; McMahon, Robert P; Kelly, Deanna L

2011-10-01

People with schizophrenia have a higher prevalence of obesity than the general population. Many people with this illness struggle with weight gain, due, in part, to medications and other factors that act as obstacles to exercise and healthy eating. Several studies have shown the benefits of behavioral weight loss programs targeting eating and/or exercise in people with schizophrenia. Fewer studies have used competitive events as a goal for an exercise program. The current study tested the feasibility of preparing, using an exercise program, for a 5-kilometer (5K) event in people with schizophrenia. The exercise program was a 10-week training program consisting of three supervised walking/jogging sessions per week and a weekly educational meeting on healthy behaviors. Almost 65% (11/17) of the subjects participated in all of the training sessions, and 82% (14/17) participated in the 5K event. Participants did not gain a significant amount of weight during the exercise program (median weight change = 0.7 kg; 25th percentile 0.5, 75th percentile 3.9, p = .10). This study suggests that using an achievable goal, such as a 5K event, promotes adherence to an exercise program and is feasible in a population of people with chronic schizophrenia.

[Career counselling and choice of speciality

DEFF Research Database (Denmark)

Lillevang, G.; Ringsted, C.

2008-01-01

Career counselling is meant to support and ensure an early and relevant choice of specialty. Self-awareness regarding personality, life goals, wishes for family life, and lifestyle is of help in narrowing down the number of specialties to those that fit personal attitudes and preferences. The cou......Career counselling is meant to support and ensure an early and relevant choice of specialty. Self-awareness regarding personality, life goals, wishes for family life, and lifestyle is of help in narrowing down the number of specialties to those that fit personal attitudes and preferences....... The counsellor must be aware that the trainees' subjective opinions about the specialties may not be in line with the actual conditions. Hence, career counselling should provide factual knowledge about the specialties including information on the working conditions and defining characteristics of the specialties...

On the Multilevel Nature of Meta-Analysis: A Tutorial, Comparison of Software Programs, and Discussion of Analytic Choices.

Science.gov (United States)

Pastor, Dena A; Lazowski, Rory A

2018-01-01

The term "multilevel meta-analysis" is encountered not only in applied research studies, but in multilevel resources comparing traditional meta-analysis to multilevel meta-analysis. In this tutorial, we argue that the term "multilevel meta-analysis" is redundant since all meta-analysis can be formulated as a special kind of multilevel model. To clarify the multilevel nature of meta-analysis the four standard meta-analytic models are presented using multilevel equations and fit to an example data set using four software programs: two specific to meta-analysis (metafor in R and SPSS macros) and two specific to multilevel modeling (PROC MIXED in SAS and HLM). The same parameter estimates are obtained across programs underscoring that all meta-analyses are multilevel in nature. Despite the equivalent results, not all software programs are alike and differences are noted in the output provided and estimators available. This tutorial also recasts distinctions made in the literature between traditional and multilevel meta-analysis as differences between meta-analytic choices, not between meta-analytic models, and provides guidance to inform choices in estimators, significance tests, moderator analyses, and modeling sequence. The extent to which the software programs allow flexibility with respect to these decisions is noted, with metafor emerging as the most favorable program reviewed.

[Effects of Group Counseling Program Based on Goal Attainment Theory for Middle School Students with Emotional and Behavioral Problems].

Science.gov (United States)

Jeong, In Ju; Kim, Soo Jin

2017-04-01

The purpose of this study was to examine the effects of a group counseling program based on goal attainment theory on self-esteem, interpersonal relationships, and school adjustment of middle school students with emotional and behavioral problems. Forty-four middle school students with emotional and behavioral problems (22 in the experimental group and 22 in the control group) from G city participated in this study. Data were collected from July 30 to September 24, 2015. The experimental group received the 8-session program, scheduled once a week, with each session lasting 45 minutes. Outcome variables included self-esteem, interpersonal relationship, and school adjustment. There were significant increases for self-esteem (t=3.69, p=.001), interpersonal relationship (t=8.88, pgroup compared to the control group. These results indicate that the group counseling program based on goal attainment theory is very effective in increasing self-esteem, interpersonal relationship, and school adjustment for middle school students with emotional and behavioral problems. Therefore, it is recommended that the group counseling program based on goal attainment theory be used as an effective psychiatric nursing intervention for mental health promotion and the prevention of mental illness in adolescents. © 2017 Korean Society of Nursing Science

Comparative study of goal contents and goal characteristics between medical and business students.

Science.gov (United States)

Park, Soowon; Kim, Ji Eun; Lee, Jun-Young; Shin, Jongho

2016-03-01

Medical and business are one of the most popular majors among students, and both fields require intensive training to reach certain level of expertise. During the development of professionalism, goal can become a crucial role in psychological impetus. The purpose of this study is to compare goal contents, goal characteristics, and effect of goal characteristics on student's major satisfaction between medical and business. A total of 193 undergraduate students (97 medical students, 96 business students) answered survey questions including goal contents, goal characteristics (goal autonomy, goal attainability, social value of goal) and satisfaction on their majors. Qualitative analysis of goal contents and quantitative analysis of goal characteristics, and their effects on student major satisfaction were performed. Goal content analysis showed percentage of social concern goal was higher in medical students (25.8%) than business students (6.3%), whereas percentage of wealth goal was higher business students (24.0%) than medical students (3.1%). Among goal characteristics, goal attainability and social value of goal were higher in medical students than business students. In both groups, social value of goal was significantly predict major satisfaction. Goal contents and goal characteristics are different between medical and business students. Curriculum and educational interventions that concerning students' goal and developing programs to enhance students' social value of goal is necessary.

77 FR 28854 - Proposed Information Collection; Comment Request; Coastal Zone Management Program Administration

Science.gov (United States)

2012-05-16

... because of the importance of U.S. coastal areas, the U.S. Congress passed the Coastal Zone Management Act... (CZMP) Performance Management System; revise assessment document and multi-year strategy; submit.... Method of Collection Respondents have a choice of electronic or paper formats for submitting program...

Choice Rules and Accumulator Networks

Science.gov (United States)

2015-01-01

This article presents a preference accumulation model that can be used to implement a number of different multi-attribute heuristic choice rules, including the lexicographic rule, the majority of confirming dimensions (tallying) rule and the equal weights rule. The proposed model differs from existing accumulators in terms of attribute representation: Leakage and competition, typically applied only to preference accumulation, are also assumed to be involved in processing attribute values. This allows the model to perform a range of sophisticated attribute-wise comparisons, including comparisons that compute relative rank. The ability of a preference accumulation model composed of leaky competitive networks to mimic symbolic models of heuristic choice suggests that these 2 approaches are not incompatible, and that a unitary cognitive model of preferential choice, based on insights from both these approaches, may be feasible. PMID:28670592

An overview of the ASCOT program

International Nuclear Information System (INIS)

Doran, J.C.

1993-09-01

ASCOT (Atmospheric Studies in Complex Terrain) is a multi-laboratory U.S. Department of Energy research program studying the properties of atmospheric boundary layers over non-uniform terrain and the interactions among various scales of motion that influence those properties. Within this context, one of the principal goals of the ASCOT program is to provide information necessary for an accurate description of transport and diffusion processes for atmosphere pollutants that may be released in regions of complex terrain. Three examples from past ASCOT research relevant to this goal are presented. Current and proposed research in the Front Range region of Colorado in the vicinity of the Rocky Flats Plant is also described

UWALK: the development of a multi-strategy, community-wide physical activity program

OpenAIRE

Jennings, Cally A.; Berry, Tanya R.; Carson, Valerie; Culos-Reed, S. Nicole; Duncan, Mitch J.; Loitz, Christina C.; McCormack, Gavin R.; McHugh, Tara-Leigh F.; Spence, John C.; Vallance, Jeff K.; Mummery, W. Kerry

2016-01-01

UWALK is a multi-strategy, multi-sector, theory-informed, community-wide approach using e and mHealth to promote physical activity in Alberta, Canada. The aim of UWALK is to promote physical activity, primarily via the accumulation of steps and flights of stairs, through a single over-arching brand. This paper describes the development of the UWALK program. A social ecological model and the social cognitive theory guided the development of key strategies, including the marketing and communica...

The role of economics in the QUERI program: QUERI Series.

Science.gov (United States)

Smith, Mark W; Barnett, Paul G

2008-04-22

The United States (U.S.) Department of Veterans Affairs (VA) Quality Enhancement Research Initiative (QUERI) has implemented economic analyses in single-site and multi-site clinical trials. To date, no one has reviewed whether the QUERI Centers are taking an optimal approach to doing so. Consistent with the continuous learning culture of the QUERI Program, this paper provides such a reflection. We present a case study of QUERI as an example of how economic considerations can and should be integrated into implementation research within both single and multi-site studies. We review theoretical and applied cost research in implementation studies outside and within VA. We also present a critique of the use of economic research within the QUERI program. Economic evaluation is a key element of implementation research. QUERI has contributed many developments in the field of implementation but has only recently begun multi-site implementation trials across multiple regions within the national VA healthcare system. These trials are unusual in their emphasis on developing detailed costs of implementation, as well as in the use of business case analyses (budget impact analyses). Economics appears to play an important role in QUERI implementation studies, only after implementation has reached the stage of multi-site trials. Economic analysis could better inform the choice of which clinical best practices to implement and the choice of implementation interventions to employ. QUERI economics also would benefit from research on costing methods and development of widely accepted international standards for implementation economics.

A randomized trial comparing structured and lifestyle goals in an internet-mediated walking program for people with type 2 diabetes

Directory of Open Access Journals (Sweden)

Fortlage Laurie A

2007-11-01

Full Text Available Abstract Background The majority of individuals with type 2 diabetes do not exercise regularly. Pedometer-based walking interventions can help; however, pedometer-based interventions targeting only total daily accumulated steps might not yield the same health benefits as physical activity programs specifying a minimum duration and intensity of physical activity bouts. Methods This pilot randomized trial compared two goal-setting strategies: 1 lifestyle goals targeting total daily accumulated step counts and 2 structured goals targeting bout steps defined as walking that lasts for 10 minutes or longer at a pace of at least 60 steps per minute. We sought to determine which goal-setting strategy was more effective at increasing bout steps. Participants were sedentary adults with type 2 diabetes. All participants: wore enhanced pedometers with embedded USB ports; uploaded detailed, time-stamped step-count data to a website called Stepping Up to Health; and received automated step-count feedback, automatically calculated goals, and tailored motivational messages throughout the six-week intervention. Only the automated goal calculations and step-count feedback differed between the two groups. The primary outcome of interest was increase in steps taken during the previously defined bouts of walking (lasting at least 10 minutes or longer at a pace of at least 60 steps per minute between baseline and end of the intervention. Results Thirty-five participants were randomized and 30 (86% completed the pilot study. Both groups significantly increased bout steps, but there was no statistically significant difference between groups. Among study completers, bout steps increased by 1921 ± 2729 steps a day. Those who received lifestyle goals were more satisfied with the intervention (p = 0.006 and wore the pedometer more often (p Conclusion In this six-week intervention, Lifestyle Goals group participants achieved increases in bout steps comparable to the

Achievement goals and perfectionism of high school students

Directory of Open Access Journals (Sweden)

Milojević Milica

2009-01-01

Full Text Available This research has been investigating one of the most contemporary approaches of achievement motivation - Achievement Goal Theory, which uses the construct of achievement goals. The construct of achievement goals involves three types of achievement goals: mastery goals, performance approach goals and performance avoidance goals. The main goal of the research was to examine correlation between perfectionism and its aspects with particular types of achievement goals. Also, the goal was to investigate the difference concerning gender regarding the achievement goals. The sample consisted of 200 senior year high school participants. The following instruments were used: Multi-dimensional scale of perfectionism (MSP and Test of achievement goals (TCP. The research results indicate that there is significant positive correlation between: perfectionism with performance approach goals and performance avoidance goals, concern over mistakes and parental expectations with performance approach goals and performance avoidance goals, personal standards and organization with mastery goals and performance approach goals, parental criticism and doubts about action with performance avoidance goals. Significant negative correlation was found between parental criticism and mastery goals. The results concerning the second goal indicates the female subjects have higher average scores in mastery goals.

Food Choice and Nutrition: A Social Psychological Perspective

Directory of Open Access Journals (Sweden)

Sarah J. Hardcastle

2015-10-01

Full Text Available In this Special Issue, entitled “Food choice and Nutrition: A Social Psychological Perspective”, three broad themes have been identified: (1 social and environmental influences on food choice; (2 psychological influences on eating behaviour; and (3 eating behaviour profiling. The studies that addressed the social and environmental influences indicated that further research would do well to promote positive food choices rather than reduce negative food choices; promote the reading and interpretation of food labels and find ways to effectively market healthy food choices through accessibility, availability and presentation. The studies on psychological influences found that intentions, perceived behavioural control, and confidence were predictors of healthy eating. Given the importance of psychological factors, such as perceived behavioural control and self-efficacy, healthy eating interventions should reduce barriers to healthy eating and foster perceptions of confidence to consume a healthy diet. The final theme focused on the clustering of individuals according to eating behaviour. Some “types” of individuals reported more frequent consumption of fast foods, ready meals or convenience meals or greater levels of disinhibition and less control over food cravings. Intervention designs which make use of multi-level strategies as advocated by the Ecological Model of Behaviour change that proposes multi-level (combining psychological, social and environmental strategies are likely to be more effective in reaching and engaging individuals susceptible to unhealthy eating habits than interventions operating on a single level.

A randomized trial comparing structured and lifestyle goals in an internet-mediated walking program for people with type 2 diabetes.

Science.gov (United States)

Richardson, Caroline R; Mehari, Kathleen S; McIntyre, Laura G; Janney, Adrienne W; Fortlage, Laurie A; Sen, Ananda; Strecher, Victor J; Piette, John D

2007-11-16

The majority of individuals with type 2 diabetes do not exercise regularly. Pedometer-based walking interventions can help; however, pedometer-based interventions targeting only total daily accumulated steps might not yield the same health benefits as physical activity programs specifying a minimum duration and intensity of physical activity bouts. This pilot randomized trial compared two goal-setting strategies: 1) lifestyle goals targeting total daily accumulated step counts and 2) structured goals targeting bout steps defined as walking that lasts for 10 minutes or longer at a pace of at least 60 steps per minute. We sought to determine which goal-setting strategy was more effective at increasing bout steps. Participants were sedentary adults with type 2 diabetes. All participants: wore enhanced pedometers with embedded USB ports; uploaded detailed, time-stamped step-count data to a website called Stepping Up to Health; and received automated step-count feedback, automatically calculated goals, and tailored motivational messages throughout the six-week intervention. Only the automated goal calculations and step-count feedback differed between the two groups. The primary outcome of interest was increase in steps taken during the previously defined bouts of walking (lasting at least 10 minutes or longer at a pace of at least 60 steps per minute) between baseline and end of the intervention. Thirty-five participants were randomized and 30 (86%) completed the pilot study. Both groups significantly increased bout steps, but there was no statistically significant difference between groups. Among study completers, bout steps increased by 1921 +/- 2729 steps a day. Those who received lifestyle goals were more satisfied with the intervention (p = 0.006) and wore the pedometer more often (p day of additional moderate intensity bout activity. Pedometer-based walking programs that emphasize total accumulated step counts are more acceptable to participants and are as

Multi-criteria group decision making for evaluating the performance of e-waste recycling programs under uncertainty.

Science.gov (United States)

Wibowo, Santoso; Deng, Hepu

2015-06-01

This paper presents a multi-criteria group decision making approach for effectively evaluating the performance of e-waste recycling programs under uncertainty in an organization. Intuitionistic fuzzy numbers are used for adequately representing the subjective and imprecise assessments of the decision makers in evaluating the relative importance of evaluation criteria and the performance of individual e-waste recycling programs with respect to individual criteria in a given situation. An interactive fuzzy multi-criteria decision making algorithm is developed for facilitating consensus building in a group decision making environment to ensure that all the interest of individual decision makers have been appropriately considered in evaluating alternative e-waste recycling programs with respect to their corporate sustainability performance. The developed algorithm is then incorporated into a multi-criteria decision support system for making the overall performance evaluation process effectively and simple to use. Such a multi-criteria decision making system adequately provides organizations with a proactive mechanism for incorporating the concept of corporate sustainability into their regular planning decisions and business practices. An example is presented for demonstrating the applicability of the proposed approach in evaluating the performance of e-waste recycling programs in organizations. Copyright © 2015 Elsevier Ltd. All rights reserved.

Improving tuberculosis case detection in underdeveloped multi-ethnic regions with high disease burden: a case study of integrated control program in China.

Science.gov (United States)

Li, Jun; Liu, Xiao-Qiu; Jiang, Shi-Wen; Li, Xue; Yu, Fei; Wang, Yan; Peng, Yong; Gu, Xiao-Ming; Sun, Yan-Ni; Zhang, Hui; Wang, Li-Xia

2017-11-29

In the underdeveloped multi-ethnic regions of China, high tuberculosis (TB) burden and regional inequity in access to healthcare service increase the challenge of achieving the End TB goals. Among all the provinces, the highest TB burden is reported in Xinjiang, where ethnic minorities and older people have suffered most. However, current case-finding strategy is inadequate given the complex social determinants and suboptimal case detection rates. Thus, we developed an integrated TB control program to improve case detection and conducted a pilot in Xinjiang from 2014 to 2015. In this case study, we summarized the activities and key findings. We also shared the experiences and challenges of implementing interventions and provided recommendations to inform the TB control program in the future. The pilot interventions were implemented in one selected town in Yining based on local TB control programs. By applying tailor-made educational materials, outreach TB educational activities were conducted in diverse ways. In 22 Masjids, the trained imams promoted TB education to the Muslims, covering 20,440 person-times in 88 delivered preaching sessions. In seven schools, 1944 students were educated by the teachers and contributed to educating 6929 family members. In the village communities, 13,073 residents participated in household education and screening. Among them, 12,292 people aged under 65 years were investigated for suspicious pulmonary TB symptoms, where six TB patients were diagnosed out of 89 TB suspects; 781 older people were mobilized for screening directly by chest X-ray, where 10 patients were diagnosed out of 692 participants. Supportive healthcare system, multi-sectoral cooperation and multi-channel financing mechanism were the successful experiences of implementation. The interventions were proved to be more effective than the previous performance: the number of TB suspects consulting doctors and patients detected increased by 50% and 26%, respectively

A model of multi-purpose shopping trip behavior

NARCIS (Netherlands)

Arentze, T.A.; Borgers, A.W.J.; Timmermans, H.J.P.

1993-01-01

Existing utility-based models of complex choice behavior do not adequately deal with the interdependencies of chained choices. In this paper, we introduce a model of multi-purpose shopping which is aimed at overcoming this shortcoming. In the proposed model, dependencies between choices within as

Design choices made by target users for a pay-for-performance program in primary care: an action research approach

Science.gov (United States)

2012-01-01

Background International interest in pay-for-performance (P4P) initiatives to improve quality of health care is growing. Current programs vary in the methods of performance measurement, appraisal and reimbursement. One may assume that involvement of health care professionals in the goal setting and methods of quality measurement and subsequent payment schemes may enhance their commitment to and motivation for P4P programs and therefore the impact of these programs. We developed a P4P program in which the target users were involved in decisions about the P4P methods. Methods For the development of the P4P program a framework was used which distinguished three main components: performance measurement, appraisal and reimbursement. Based on this framework design choices were discussed in two panels of target users using an adapted Delphi procedure. The target users were 65 general practices and two health insurance companies in the South of the Netherlands. Results Performance measurement was linked to the Dutch accreditation program based on three domains (clinical care, practice management and patient experience). The general practice was chosen as unit of assessment. Relative standards were set at the 25th percentile of group performance. The incentive for clinical care was set twice as high as the one for practice management and patient experience. Quality scores were to be calculated separately for all three domains, and for both the quality level and the improvement of performance. The incentive for quality level was set thrice as high as the one for the improvement of performance. For reimbursement, quality scores were divided into seven levels. A practice with a quality score in the lowest group was not supposed to receive a bonus. The additional payment grew proportionally for each extra group. The bonus aimed at was on average 5% to 10% of the practice income. Conclusions Designing a P4P program for primary care with involvement of the target users gave us an

Design choices made by target users for a pay-for-performance program in primary care: an action research approach

Directory of Open Access Journals (Sweden)

Kirschner Kirsten

2012-03-01

Full Text Available Abstract Background International interest in pay-for-performance (P4P initiatives to improve quality of health care is growing. Current programs vary in the methods of performance measurement, appraisal and reimbursement. One may assume that involvement of health care professionals in the goal setting and methods of quality measurement and subsequent payment schemes may enhance their commitment to and motivation for P4P programs and therefore the impact of these programs. We developed a P4P program in which the target users were involved in decisions about the P4P methods. Methods For the development of the P4P program a framework was used which distinguished three main components: performance measurement, appraisal and reimbursement. Based on this framework design choices were discussed in two panels of target users using an adapted Delphi procedure. The target users were 65 general practices and two health insurance companies in the South of the Netherlands. Results Performance measurement was linked to the Dutch accreditation program based on three domains (clinical care, practice management and patient experience. The general practice was chosen as unit of assessment. Relative standards were set at the 25th percentile of group performance. The incentive for clinical care was set twice as high as the one for practice management and patient experience. Quality scores were to be calculated separately for all three domains, and for both the quality level and the improvement of performance. The incentive for quality level was set thrice as high as the one for the improvement of performance. For reimbursement, quality scores were divided into seven levels. A practice with a quality score in the lowest group was not supposed to receive a bonus. The additional payment grew proportionally for each extra group. The bonus aimed at was on average 5% to 10% of the practice income. Conclusions Designing a P4P program for primary care with involvement of

Stability of multi-objective bi-level linear programming problems under fuzziness

Directory of Open Access Journals (Sweden)

Abo-Sinna Mahmoud A.

2013-01-01

Full Text Available This paper deals with multi-objective bi-level linear programming problems under fuzzy environment. In the proposed method, tentative solutions are obtained and evaluated by using the partial information on preference of the decision-makers at each level. The existing results concerning the qualitative analysis of some basic notions in parametric linear programming problems are reformulated to study the stability of multi-objective bi-level linear programming problems. An algorithm for obtaining any subset of the parametric space, which has the same corresponding Pareto optimal solution, is presented. Also, this paper established the model for the supply-demand interaction in the age of electronic commerce (EC. First of all, the study uses the individual objectives of both parties as the foundation of the supply-demand interaction. Subsequently, it divides the interaction, in the age of electronic commerce, into the following two classifications: (i Market transactions, with the primary focus on the supply demand relationship in the marketplace; and (ii Information service, with the primary focus on the provider and the user of information service. By applying the bi-level programming technique of interaction process, the study will develop an analytical process to explain how supply-demand interaction achieves a compromise or why the process fails. Finally, a numerical example of information service is provided for the sake of illustration.

A two-stage stochastic programming approach for operating multi-energy systems

DEFF Research Database (Denmark)

Zeng, Qing; Fang, Jiakun; Chen, Zhe

2017-01-01

This paper provides a two-stage stochastic programming approach for joint operating multi-energy systems under uncertainty. Simulation is carried out in a test system to demonstrate the feasibility and efficiency of the proposed approach. The test energy system includes a gas subsystem with a gas...

Application of goal programming to decision problem on optimal allocation of radiation workers

International Nuclear Information System (INIS)

Sa, Sangduk; Narita, Masakuni

1993-01-01

This paper is concerned with an optimal planning in a multiple objective decision-making problem of allocating radiation workers to workplaces associated with occupational exposure. The model problem is formulated with the application of goal programming which effectively followed up diverse and conflicting factors influencing the optimal decision. The formulation is based on the data simulating the typical situations encountered at the operating facilities such as nuclear power plants where exposure control is critical to the management. Multiple goals set by the decision-maker/manager who has the operational responsibilities for radiological protection are illustrated in terms of work requirements, exposure constraints of the places, desired allocation of specific personnel and so on. Test results of the model are considered to indicate that the model structure and its solution process can provide the manager with a good set of analysis of his problems in implementing the optimization review of radiation protection during normal operation. (author)

Using goal setting as a strategy for dietary behavior change.

Science.gov (United States)

Cullen, K W; Baranowski, T; Smith, S P

2001-05-01

Recent reviews have noted that behavioral theory-based nutrition education programs are more successful at achieving food behavior change than knowledge-based programs and that a clear understanding of the mechanisms of behavior change procedures enable dietetics professionals to more effectively promote change. Successful dietary behavior change programs target 1 or more of the personal, behavioral, or environmental factors that influence the behavior of interest and apply theory-based strategies to influence or change those factors. Goal setting is a strategy that is frequently used to help people change. A 4-step goal-setting process has been identified: recognizing a need for change; establishing a goal; adopting a goal-directed activity and self-monitoring it; and self-rewarding goal attainment. The applications of goal setting in dietary interventions for adults and children are reviewed here. Because interventions using goal setting appear to promote dietary change, dietitians should consider incorporating the goal-setting strategies to enhance the behavior change process in nutrition education programs.

Using School Choice: Analyzing How Parents Access Educational Freedom. School Choice Issues in Depth

Science.gov (United States)

Forster, Greg

2005-01-01

This report provides a summary of the process parents must go through to participate in each of the nation's school choice programs, identifying problem areas in some programs. For the first time in one place, this report collects data on participation in each of the programs in current and previous years. Data are given for the number of students…

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

A generalized matching law analysis of cocaine vs. food choice in rhesus monkeys: effects of candidate 'agonist-based' medications on sensitivity to reinforcement.

Science.gov (United States)

Hutsell, Blake A; Negus, S Stevens; Banks, Matthew L

2015-01-01

We have previously demonstrated reductions in cocaine choice produced by either continuous 14-day phendimetrazine and d-amphetamine treatment or removing cocaine availability under a cocaine vs. food choice procedure in rhesus monkeys. The aim of the present investigation was to apply the concatenated generalized matching law (GML) to cocaine vs. food choice dose-effect functions incorporating sensitivity to both the relative magnitude and price of each reinforcer. Our goal was to determine potential behavioral mechanisms underlying pharmacological treatment efficacy to decrease cocaine choice. A multi-model comparison approach was used to characterize dose- and time-course effects of both pharmacological and environmental manipulations on sensitivity to reinforcement. GML models provided an excellent fit of the cocaine choice dose-effect functions in individual monkeys. Reductions in cocaine choice by both pharmacological and environmental manipulations were principally produced by systematic decreases in sensitivity to reinforcer price and non-systematic changes in sensitivity to reinforcer magnitude. The modeling approach used provides a theoretical link between the experimental analysis of choice and pharmacological treatments being evaluated as candidate 'agonist-based' medications for cocaine addiction. The analysis suggests that monoamine releaser treatment efficacy to decrease cocaine choice was mediated by selectively increasing the relative price of cocaine. Overall, the net behavioral effect of these pharmacological treatments was to increase substitutability of food pellets, a nondrug reinforcer, for cocaine. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Multi-image screening technique applied to a general orientation training program

International Nuclear Information System (INIS)

Hajek, B.K.; Campbell, T.O.; Evans, A.D.; Hickey, J.M.

1979-01-01

A general orientation and training program is a prerequisite for personnel to have unescorted access to various site locations at a nuclear power plant. A new general orientation and training program is being developed for the Toledo Edison Company to be used at the Davis-Besse Nuclear Power Station. The program is presented in a multi-image and stereo sound format that has the unique capability to present the magnitude and scale of the plant, to arouse and maintain the interest of the viewer, and to instill in him a feeling of importance and pride about his job. Satisfactory completion of the program by individuals is assessed and certified by a machine scored test that is administered as an integral part of the presentation

Outcomes of a multimodal cognitive and physical rehabilitation program for persons with mild dementia and their caregivers: a goal-oriented approach

Directory of Open Access Journals (Sweden)

Chew J

2015-10-01

Full Text Available Justin Chew, Mei-Sian Chong, Yoke-Leng Fong, Laura Tay Department of Geriatric Medicine, Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore, Singapore Background: Nonpharmacological interventions such as exercise and cognitive rehabilitation programs have shown promise in reducing the impact of dementia on the individual and the caregiver. In this study, we examine the effect of a multimodal cognitive and physical rehabilitation program for persons with mild dementia and their caregivers using conventional measures of cognition, behavior, quality of life (QoL, and caregiver burden together with goal attainment scaling (GAS, an individualized outcome measure.Methods: Goals were set at baseline, and GAS score was calculated at the end of the program. Participants were also assessed with the Chinese Mini-Mental State Examination, functional and behavioral scales (Barthel Index, Instrumental Activities of Daily Living, Neuropsychiatric Inventory Questionnaire, QoL, and caregiver burden using EuroQol-five dimension questionnaire and Zarit Burden Interview (ZBI. Differences in median scores postintervention were obtained. Further analysis of caregiver burden was undertaken utilizing the multidimensional classification of burden on the ZBI.Results: Thirty-four (61.8% patients were assessed to have met their goals (GAS score ≥50. Mean (standard deviation GAS score was 48.6 (6.5. Cognition goals were set in only 20.6%, followed by goals to improve engagement and socialization; reduce caregiver stress; and improve physical function, behavior, and mood. Median scores in the cognitive, functional, and QoL measures did not differ significantly pre- and postintervention. The intervention had a positive impact on role strain, a unique dimension of caregiver burden.Conclusion: This study provides evidence that a multimodal approach combining physical exercise and cognitive rehabilitation improves goal attainment and caregiver burden

Optimization of multi-layered metallic shield

International Nuclear Information System (INIS)

Ben-Dor, G.; Dubinsky, A.; Elperin, T.

2011-01-01

Research highlights: → We investigated the problem of optimization of a multi-layered metallic shield. → The maximum ballistic limit velocity is a criterion of optimization. → The sequence of materials and the thicknesses of layers in the shield are varied. → The general problem is reduced to the problem of Geometric Programming. → Analytical solutions are obtained for two- and three-layered shields. - Abstract: We investigate the problem of optimization of multi-layered metallic shield whereby the goal is to determine the sequence of materials and the thicknesses of the layers that provide the maximum ballistic limit velocity of the shield. Optimization is performed under the following constraints: fixed areal density of the shield, the upper bound on the total thickness of the shield and the bounds on the thicknesses of the plates manufactured from every material. The problem is reduced to the problem of Geometric Programming which can be solved numerically using known methods. For the most interesting in practice cases of two-layered and three-layered shields the solution is obtained in the explicit analytical form.

The Design Space of Multi-Language Development Environments

DEFF Research Database (Denmark)

Pfeiffer, Rolf-Helge; Wasowski, Andrzej

2014-01-01

Non-trivial software systems integrate many artifacts expressed in multiple modeling and program- ming languages. However, even though these artifacts heavily depend on each other, existing development envi- ronments do not sufficiently support handling relations between artifacts in different...... languages. By means of a literature survey, tool prototyping and experiments we study the design space of multi-language development environments (MLDEs)—tools that consider the cross-language relations as first artifacts. We ask: what is the state of the art in the MLDE space? What are the design choices...... and challenges faced by tool builders? To what extent MLDEs are desired by users, and for what support features? Our main conclusions are that (a) cross-language re- lations are ubiquitous and troublesome in multi-language systems, (b) users highly appreciated cross-language sup- port mechanisms of MLDEs and (c...

KAPSIES: A program for the calculation of multi-step direct reaction cross sections

International Nuclear Information System (INIS)

Koning, A.J.; Akkermans, J.M.

1994-09-01

We present a program for the calculation of continuum cross sections, sepctra, angular distributions and analyzing powers according to various quantum-mechanical theories for statistical multi-step direct nuclear reactions. (orig.)

The Downstart Program: a hospital-based pediatric healthy lifestyle program for obese and morbidly obese minority youth.

Science.gov (United States)

Sternberg, Alex; Muzumdar, Hiren; Dinkevich, Eugene; Quintos, Jose Bernardo; Austin-Leon, Galia; Owens, Terrel; Murphy, Cheryl; Dapul, Geraldine; Rao, Madu

2006-12-01

Although obesity affects all cultures, ethnic groups and social strata, this disorder affects African Americans, Hispanics and the poor at a disproportionate rate. The Downstart Pediatric Healthy Lifestyle Program was developed to provide a multi-disciplinary behavioral modification program for inner city families in Brooklyn, New York interested in leading a healthier, more active lifestyle. The Downstart Program uses a four-pronged approach of medical evaluation, exercise, nutritional education and lifestyle modification. A psychological evaluation is performed to determine the individual's ability and readiness to participate in group activities. Baseline physical fitness, flexibility and muscle strength are measured, followed by a twice-weekly karate/martial arts/dance program, incorporating principles established by the President's Council on Exercise. Nutritional and behavioral modification aspects of the program consist of weekly education about food groups, portion control, goal setting and appropriate rewards for attaining goals. Our preliminary results indicate that the Downstart Program may be a viable intervention for weight loss. Further study is needed to improve strategies for motivating patients and means and criteria for assessing long-term effects on health and lifestyle.

Modifications in children's goals when encountering obstacles to conflict resolution.

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Troop-Gordon, Wendy; Asher, Steven R

2005-01-01

Previous studies have demonstrated that children's goals are associated with their success in peer relationships. The current study extends earlier findings by examining changes in children's goals during hypothetical conflicts. Participants were 252 children ages 9 to 12 years old (133 boys, 119 girls). As predicted, children's goals changed significantly when they encountered obstacles to conflict resolution, and these changes were predictive of their subsequent strategy choices. Both aggressive- and submissive-rejected children were more likely to evidence antisocial changes in their goals, including an increased desire to retaliate. They also showed reluctance to forego instrumental objectives. Other findings highlighted the need to investigate the combinations of goals children pursue as predictors of their strategies and the quality of their peer relationships.

Youth and Families with Promise: A Multi-Component Youth Development Program

Directory of Open Access Journals (Sweden)

Brian J. Higginbotham

2007-03-01

Full Text Available Integrating mentoring into existing youth programs has been suggested as a promising approach to youth development. This article discusses a theoretical rationale underlying the integration of one-on-one mentoring into established youth development programs. From an ecological perspective, the addition of mentoring into traditional programs should theoretically enhance the youth development experience. Mentoring, in addition to programs like 4-H, enriches the context in which developing youth are supported and encouraged by non-parental adults to develop competencies, to take on leadership responsibilities, and to integrate into positive peer groups (i.e., 4-H clubs. A multi-component program that involves at-risk youth in both mentoring and 4-H activities is highlighted. Results from at-risk youth and their parents indicate that Utah’s 4-H/ Mentoring: Youth and Families with Promise program strengthens the protective factors of academic achievement, social competence, and family bonds.

An Integer Programming Model for Multi-Echelon Supply Chain Decision Problem Considering Inventories

Science.gov (United States)

Harahap, Amin; Mawengkang, Herman; Siswadi; Effendi, Syahril

2018-01-01

In this paper we address a problem that is of significance to the industry, namely the optimal decision of a multi-echelon supply chain and the associated inventory systems. By using the guaranteed service approach to model the multi-echelon inventory system, we develop a mixed integer; programming model to simultaneously optimize the transportation, inventory and network structure of a multi-echelon supply chain. To solve the model we develop a direct search approach using a strategy of releasing nonbasic variables from their bounds, combined with the “active constraint” method. This strategy is used to force the appropriate non-integer basic variables to move to their neighbourhood integer points.

Impact of personal goals on the internal medicine R4 subspecialty match: a Q methodology study.

Science.gov (United States)

Daniels, Vijay J; Kassam, Narmin

2013-12-21

There has been a decline in interest in general internal medicine that has resulted in a discrepancy between internal medicine residents' choice in the R4 subspecialty match and societal need. Few studies have focused on the relative importance of personal goals and their impact on residents' choice. The purpose of this study was to assess if internal medicine residents can be grouped based on their personal goals and how each group prioritizes these goals compared to each other. A secondary objective was to explore whether we could predict a resident's desired subspecialty choice based on their constellation of personal goals. We used Q methodology to examine how postgraduate year 1-3 internal medicine residents could be grouped based on their rankings of 36 statements (derived from our previous qualitative study). Using each groups' defining and distinguishing statements, we predicted their subspecialties of interest. We also collected the residents' first choice in the subspecialty match and used a kappa test to compare our predicted subspecialty group to the residents' self-reported first choice. Fifty-nine internal medicine residents at the University of Alberta participated between 2009 and 2010 with 46 Q sorts suitable for analysis. The residents loaded onto four factors (groups) based on how they ranked statements. Our prediction of each groups' desired subspecialties with their defining and/or distinguishing statements are as follows: group 1 - general internal medicine (variety in practice); group 2 - gastroenterology, nephrology, and respirology (higher income); group 3 - cardiology and critical care (procedural, willing to entertain longer training); group 4 - rest of subspecialties (non-procedural, focused practice, and valuing more time for personal life). There was moderate agreement (kappa = 0.57) between our predicted desired subspecialty group and residents' self-reported first choice (p internal medicine subspecialty. The key goals that define

Establishing a greenhouse gas inventory and reduction goal: case study

International Nuclear Information System (INIS)

Carli, G.A.; Richardson, S.L.

2009-01-01

'Full text:' Since 1976, Conestoga-Rovers & Associates (CRA) has grown from a small, regional engineering company, to one of the world's most sought-after, multi-disciplinary engineering and consulting firms with over 90 offices and more than 2,700 people working on projects worldwide. CRA is committed to helping its clients meet or exceed their environmental performance goals while achieving its own sustainability objectives. CRA is continuously striving to implement social and environmental performance improvements in each and every work place where CRA conducts business. CRA's Corporate Sustainability, Social Responsibility, and Environmental Policy reflects this commitment. CRA is working to reduce its environmental footprint and invest in the communities in which we live and conduct business. CRA undertook a corporate-wide greenhouse gas (GHG) inventory and set aggressive GHG reduction goals. This presentation provides an overview of the steps CRA has taken to quantify corporate GHG emissions, including establishing boundary conditions, data collection activities, calculation of GHG emissions, and development of and inventory management plant consistent with the U.S. EPA Climate Leaders program. The presentation discusses the primary challenges addressed in developing a GHG inventory for multiple facilities located throughout North America, including obtaining verifiable data, addressing corporate travel, and communicating climate change goals within the organization. The presentation concludes with an overview of the key considerations necessary to establish a credible reduction goal. (author)

Study to validate the outcome goal, competencies and educational objectives for use in intensive care orientation programs.

Science.gov (United States)

Boyle, M; Butcher, R; Kenney, C

1998-03-01

Intensive care orientation programs have become an accepted component of intensive care education. To date, however, there have been no Australian-based standards defining the appropriate level of competence to be attained upon completion of orientation. The aim of this study was to validate a set of aims, competencies and educational objectives that could form the basis of intensive care orientation and which would ensure an outcome standard of safe and effective practice. An initial document containing a statement of the desired outcome goal, six competency statements and 182 educational objectives was developed through a review of the orientation programs developed by the investigators. The Delphi technique was used to gain consensus among 13 nurses recognised for their expertise in intensive care education. The expert group rated the acceptability of each of the study items and provided suggestions for objectives to be included. An approval rating of 80 per cent was required to retain each of the study items, with the document refined through three Delphi rounds. The final document contains a validated statement of outcome goal, competencies and educational objectives for intensive care orientation programs.

Stepwise multi-criteria optimization for robotic radiosurgery

International Nuclear Information System (INIS)

Schlaefer, A.; Schweikard, A.

2008-01-01

Achieving good conformality and a steep dose gradient around the target volume remains a key aspect of radiosurgery. Clearly, this involves a trade-off between target coverage, conformality of the dose distribution, and sparing of critical structures. Yet, image guidance and robotic beam placement have extended highly conformal dose delivery to extracranial and moving targets. Therefore, the multi-criteria nature of the optimization problem becomes even more apparent, as multiple conflicting clinical goals need to be considered coordinate to obtain an optimal treatment plan. Typically, planning for robotic radiosurgery is based on constrained optimization, namely linear programming. An extension of that approach is presented, such that each of the clinical goals can be addressed separately and in any sequential order. For a set of common clinical goals the mapping to a mathematical objective and a corresponding constraint is defined. The trade-off among the clinical goals is explored by modifying the constraints and optimizing a simple objective, while retaining feasibility of the solution. Moreover, it becomes immediately obvious whether a desired goal can be achieved and where a trade-off is possible. No importance factors or predefined prioritizations of clinical goals are necessary. The presented framework forms the basis for interactive and automated planning procedures. It is demonstrated for a sample case that the linear programming formulation is suitable to search for a clinically optimal treatment, and that the optimization steps can be performed quickly to establish that a Pareto-efficient solution has been found. Furthermore, it is demonstrated how the stepwise approach is preferable compared to modifying importance factors

The role of economics in the QUERI program: QUERI Series

Directory of Open Access Journals (Sweden)

Smith Mark W

2008-04-01

Full Text Available Abstract Background The United States (U.S. Department of Veterans Affairs (VA Quality Enhancement Research Initiative (QUERI has implemented economic analyses in single-site and multi-site clinical trials. To date, no one has reviewed whether the QUERI Centers are taking an optimal approach to doing so. Consistent with the continuous learning culture of the QUERI Program, this paper provides such a reflection. Methods We present a case study of QUERI as an example of how economic considerations can and should be integrated into implementation research within both single and multi-site studies. We review theoretical and applied cost research in implementation studies outside and within VA. We also present a critique of the use of economic research within the QUERI program. Results Economic evaluation is a key element of implementation research. QUERI has contributed many developments in the field of implementation but has only recently begun multi-site implementation trials across multiple regions within the national VA healthcare system. These trials are unusual in their emphasis on developing detailed costs of implementation, as well as in the use of business case analyses (budget impact analyses. Conclusion Economics appears to play an important role in QUERI implementation studies, only after implementation has reached the stage of multi-site trials. Economic analysis could better inform the choice of which clinical best practices to implement and the choice of implementation interventions to employ. QUERI economics also would benefit from research on costing methods and development of widely accepted international standards for implementation economics.

Integer Linear Programming for Constrained Multi-Aspect Committee Review Assignment

Science.gov (United States)

Karimzadehgan, Maryam; Zhai, ChengXiang

2011-01-01

Automatic review assignment can significantly improve the productivity of many people such as conference organizers, journal editors and grant administrators. A general setup of the review assignment problem involves assigning a set of reviewers on a committee to a set of documents to be reviewed under the constraint of review quota so that the reviewers assigned to a document can collectively cover multiple topic aspects of the document. No previous work has addressed such a setup of committee review assignments while also considering matching multiple aspects of topics and expertise. In this paper, we tackle the problem of committee review assignment with multi-aspect expertise matching by casting it as an integer linear programming problem. The proposed algorithm can naturally accommodate any probabilistic or deterministic method for modeling multiple aspects to automate committee review assignments. Evaluation using a multi-aspect review assignment test set constructed using ACM SIGIR publications shows that the proposed algorithm is effective and efficient for committee review assignments based on multi-aspect expertise matching. PMID:22711970

Update on the National Cholesterol Education Program Adult Treatment Panel III guidelines: getting to goal.

Science.gov (United States)

McKenney, James M

2003-09-01

Considerable data on the pathophysiology, epidemiology, and treatment of dyslipidemia-induced coronary heart disease (CHD) have accumulated in recent years. These data have been assessed and incorporated into the guidelines of the National Cholesterol Education Program Expert Panel on the Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel [ATP] III). A major focus of the new guidelines is the assessment of the near-term (i.e., 10-yr) risk of experiencing a CHD event and matching the intensity of treatment to this risk. Patients with diabetes and those with a greater than 20% 10-year risk of experiencing a CHD event have been elevated to the risk level of CHD equivalent. The ATP III guidelines also modify several lipid and lipoprotein classifications. A low-density lipoprotein cholesterol (LDL) level below 100 mg/dl is now considered optimum for all individuals. In addition, high-density lipoprotein cholesterol (HDL) and triglyceride cutoff points have been modified to reflect more accurately the risk associated with abnormalities in these lipoproteins. As with the previous guidelines, the primary target of therapy remains LDL. Therapeutic lifestyle changes consisting of diet, weight reduction, and increased physical activity should be included in all treatment regimens. Based on their potent LDL-lowering properties and their proven ability to decrease mortality in a variety of patient populations, statins are generally the first choice for pharmacologic therapy. A secondary target of therapy includes non-HDL goals for patients with high triglyceride levels and the metabolic syndrome, which is characterized by abdominal obesity, elevated triglyceride levels, low HDL levels, and insulin resistance. Management of these secondary targets includes weight reduction and increased physical activity, and treatment of the lipid and nonlipid risk factors. Overall, ATP III represents an aggressive approach to treating dyslipidemia

Goal setting in psychotherapy: the relevance of approach and avoidance goals for treatment outcome.

Science.gov (United States)

Wollburg, Eileen; Braukhaus, Christoph

2010-07-01

The present study is the first aimed at investigating the influence of goal definition on treatment outcome in a sample of depressed patients. Data from 657 inpatients admitted to a psychosomatic clinic in Germany being treated in a cognitive-behavioral therapy program were analyzed. Treatment goals were identified as either approach or avoidance, and the sample was classified accordingly. Patients who identified approach goals only were placed in the approach group, and those who identified at least one avoidance goal were placed in the avoidance group. Results showed that framing goals using avoidance terms was associated with less symptomatic improvement but did not affect goal attainment. Findings from this research should be utilized in practice not only for process management such as individual treatment planning but also to control outcome quality. Furthermore, goal definition should be considered as a control variable in research on depression.

Multi-objective genetic algorithm for solving N-version program design problem

Energy Technology Data Exchange (ETDEWEB)

Yamachi, Hidemi [Department of Computer and Information Engineering, Nippon Institute of Technology, Miyashiro, Saitama 345-8501 (Japan) and Department of Production and Information Systems Engineering, Tokyo Metropolitan Institute of Technology, Hino, Tokyo 191-0065 (Japan)]. E-mail: yamachi@nit.ac.jp; Tsujimura, Yasuhiro [Department of Computer and Information Engineering, Nippon Institute of Technology, Miyashiro, Saitama 345-8501 (Japan)]. E-mail: tujimr@nit.ac.jp; Kambayashi, Yasushi [Department of Computer and Information Engineering, Nippon Institute of Technology, Miyashiro, Saitama 345-8501 (Japan)]. E-mail: yasushi@nit.ac.jp; Yamamoto, Hisashi [Department of Production and Information Systems Engineering, Tokyo Metropolitan Institute of Technology, Hino, Tokyo 191-0065 (Japan)]. E-mail: yamamoto@cc.tmit.ac.jp

2006-09-15

N-version programming (NVP) is a programming approach for constructing fault tolerant software systems. Generally, an optimization model utilized in NVP selects the optimal set of versions for each module to maximize the system reliability and to constrain the total cost to remain within a given budget. In such a model, while the number of versions included in the obtained solution is generally reduced, the budget restriction may be so rigid that it may fail to find the optimal solution. In order to ameliorate this problem, this paper proposes a novel bi-objective optimization model that maximizes the system reliability and minimizes the system total cost for designing N-version software systems. When solving multi-objective optimization problem, it is crucial to find Pareto solutions. It is, however, not easy to obtain them. In this paper, we propose a novel bi-objective optimization model that obtains many Pareto solutions efficiently. We formulate the optimal design problem of NVP as a bi-objective 0-1 nonlinear integer programming problem. In order to overcome this problem, we propose a Multi-objective genetic algorithm (MOGA), which is a powerful, though time-consuming, method to solve multi-objective optimization problems. When implementing genetic algorithm (GA), the use of an appropriate genetic representation scheme is one of the most important issues to obtain good performance. We employ random-key representation in our MOGA to find many Pareto solutions spaced as evenly as possible along the Pareto frontier. To pursue improve further performance, we introduce elitism, the Pareto-insertion and the Pareto-deletion operations based on distance between Pareto solutions in the selection process. The proposed MOGA obtains many Pareto solutions along the Pareto frontier evenly. The user of the MOGA can select the best compromise solution among the candidates by controlling the balance between the system reliability and the total cost.

Multi-objective genetic algorithm for solving N-version program design problem

International Nuclear Information System (INIS)

Yamachi, Hidemi; Tsujimura, Yasuhiro; Kambayashi, Yasushi; Yamamoto, Hisashi

2006-01-01

N-version programming (NVP) is a programming approach for constructing fault tolerant software systems. Generally, an optimization model utilized in NVP selects the optimal set of versions for each module to maximize the system reliability and to constrain the total cost to remain within a given budget. In such a model, while the number of versions included in the obtained solution is generally reduced, the budget restriction may be so rigid that it may fail to find the optimal solution. In order to ameliorate this problem, this paper proposes a novel bi-objective optimization model that maximizes the system reliability and minimizes the system total cost for designing N-version software systems. When solving multi-objective optimization problem, it is crucial to find Pareto solutions. It is, however, not easy to obtain them. In this paper, we propose a novel bi-objective optimization model that obtains many Pareto solutions efficiently. We formulate the optimal design problem of NVP as a bi-objective 0-1 nonlinear integer programming problem. In order to overcome this problem, we propose a Multi-objective genetic algorithm (MOGA), which is a powerful, though time-consuming, method to solve multi-objective optimization problems. When implementing genetic algorithm (GA), the use of an appropriate genetic representation scheme is one of the most important issues to obtain good performance. We employ random-key representation in our MOGA to find many Pareto solutions spaced as evenly as possible along the Pareto frontier. To pursue improve further performance, we introduce elitism, the Pareto-insertion and the Pareto-deletion operations based on distance between Pareto solutions in the selection process. The proposed MOGA obtains many Pareto solutions along the Pareto frontier evenly. The user of the MOGA can select the best compromise solution among the candidates by controlling the balance between the system reliability and the total cost

Flood Risk, Flood Mitigation, and Location Choice: Evaluating the National Flood Insurance Program's Community Rating System.

Science.gov (United States)

Fan, Qin; Davlasheridze, Meri

2016-06-01

Climate change is expected to worsen the negative effects of natural disasters like floods. The negative impacts, however, can be mitigated by individuals' adjustments through migration and relocation behaviors. Previous literature has identified flood risk as one significant driver in relocation decisions, but no prior study examines the effect of the National Flood Insurance Program's voluntary program-the Community Rating System (CRS)-on residential location choice. This article fills this gap and tests the hypothesis that flood risk and the CRS-creditable flood control activities affect residential location choices. We employ a two-stage sorting model to empirically estimate the effects. In the first stage, individuals' risk perception and preference heterogeneity for the CRS activities are considered, while mean effects of flood risk and the CRS activities are estimated in the second stage. We then estimate heterogeneous marginal willingness to pay (WTP) for the CRS activities by category. Results show that age, ethnicity and race, educational attainment, and prior exposure to risk explain risk perception. We find significant values for the CRS-creditable mitigation activities, which provides empirical evidence for the benefits associated with the program. The marginal WTP for an additional credit point earned for public information activities, including hazard disclosure, is found to be the highest. Results also suggest that water amenities dominate flood risk. Thus, high amenity values may increase exposure to flood risk, and flood mitigation projects should be strategized in coastal regions accordingly. © 2015 Society for Risk Analysis.

Determinants of Postgraduate Students' Choices of Speciality

Directory of Open Access Journals (Sweden)

Bikash Shrestha

2016-03-01

Conclusions: Various factors affect the choices for preferred specialty. Policy makers should look at the needs of the nation, and ensure that specialty postgraduate education programs reflect those needs. Keywords: career choices; likert scale; medical education; postgraduate specialty. | PubMed

An Introduction to Multi-player, Multi-choice Quantum Games: Quantum Minority Games & Kolkata Restaurant Problems

Science.gov (United States)

Sharif, Puya; Heydari, Hoshang

We give a self contained introduction to a few quantum game protocols, starting with the quantum version of the two-player two-choice game of Prisoners dilemma, followed by an n-player generalization trough the quantum minority games, and finishing with a contribution towards an n-player m-choice generalization with a quantum version of a three-player Kolkata restaurant problem. We have omitted some technical details accompanying these protocols, and instead laid the focus on presenting some general aspects of the field as a whole. This review contains an introduction to the formalism of quantum information theory, as well as to important game theoretical concepts, and is aimed to work as a review suiting economists and game theorists with limited knowledge of quantum physics as well as to physicists with limited knowledge of game theory.

Educational and Mothering Discourses and Learner Goals: Mexican Immigrant Women Enacting Agency in a Family Literacy Program. Research Brief #8

Science.gov (United States)

Toso, Blaire Willson

2012-01-01

Family literacy programs promote certain ideas about literacy and parenting. This study examined how Mexican immigrant women in a family literacy program used mainstream ideas, or discourses, of mothering and parent involvement in education to pursue their own personal and academic goals. The findings revealed that women were at times faced with…

An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation

International Nuclear Information System (INIS)

Niknam, Taher; Azizipanah-Abarghooee, Rasoul; Narimani, Mohammad Rasoul

2012-01-01

Highlights: ► Proposes a stochastic model for optimal energy management. ► Consider uncertainties related to the forecasted values for load demand. ► Consider uncertainties of forecasted values of output power of wind and photovoltaic units. ► Consider uncertainties of forecasted values of market price. ► Present an improved multi-objective teaching–learning-based optimization. -- Abstract: This paper proposes a stochastic model for optimal energy management with the goal of cost and emission minimization. In this model, the uncertainties related to the forecasted values for load demand, available output power of wind and photovoltaic units and market price are modeled by a scenario-based stochastic programming. In the presented method, scenarios are generated by a roulette wheel mechanism based on probability distribution functions of the input random variables. Through this method, the inherent stochastic nature of the proposed problem is released and the problem is decomposed into a deterministic problem. An improved multi-objective teaching–learning-based optimization is implemented to yield the best expected Pareto optimal front. In the proposed stochastic optimization method, a novel self adaptive probabilistic modification strategy is offered to improve the performance of the presented algorithm. Also, a set of non-dominated solutions are stored in a repository during the simulation process. Meanwhile, the size of the repository is controlled by usage of a fuzzy-based clustering technique. The best expected compromise solution stored in the repository is selected via the niching mechanism in a way that solutions are encouraged to seek the lesser explored regions. The proposed framework is applied in a typical grid-connected micro grid in order to verify its efficiency and feasibility.

A Mixed Integer Linear Programming Approach to Electrical Stimulation Optimization Problems.

Science.gov (United States)

Abouelseoud, Gehan; Abouelseoud, Yasmine; Shoukry, Amin; Ismail, Nour; Mekky, Jaidaa

2018-02-01

Electrical stimulation optimization is a challenging problem. Even when a single region is targeted for excitation, the problem remains a constrained multi-objective optimization problem. The constrained nature of the problem results from safety concerns while its multi-objectives originate from the requirement that non-targeted regions should remain unaffected. In this paper, we propose a mixed integer linear programming formulation that can successfully address the challenges facing this problem. Moreover, the proposed framework can conclusively check the feasibility of the stimulation goals. This helps researchers to avoid wasting time trying to achieve goals that are impossible under a chosen stimulation setup. The superiority of the proposed framework over alternative methods is demonstrated through simulation examples.

Multi-Year SSL Market Development Support Plan

Energy Technology Data Exchange (ETDEWEB)

Ledbetter, Marc R.

2012-05-01

This plan sets out a strategic, five year framework for guiding DOE's market development support activities for high-performance solid-state lighting (SSL) products for the U.S. general illumination market. The market development support activities described in this plan, which span federal fiscal years 2012 to 2016, are intended to affect the types of SSL general illumination products adopted by the market, to accelerate commercial adoption of those products, and to support appropriate application of those products to maximize energy savings. DOE has established aggressive FY16 goals for these activities, including goals for the types of products brought to market, the market adoption of those products, and the energy savings achieved through use of SSL products. These goals are for the combined effect of DOE's SSL market development support and R and D investment, as well as the leveraged activities of its partners. Goals include: (1) inducing the market introduction of SSL products achieving 140 lumens per Watt (lm/W) for warm white products, and 155 lm/W for cool white products, and (2) inducing sales of high-performance SSL products that achieve annual site electricity savings of 21 terawatt hours (0.25 quadrillion Btus primary energy) by FY16. To overcome identified market barriers and to achieve the above five year goals, DOE proposes to carry out the following strategy. DOE will implement a multi-year program to accelerate adoption of good quality, high performance SSL products that achieve significant energy savings and maintain or improve lighting quality. Relying on lessons learned from past emerging technology introductions, such as compact fluorescent lamps, and using newly developed market research, DOE will design its efforts to minimize the likelihood that the SSL market will repeat mistakes that greatly delayed market adoption of earlier emerging technology market introductions. To achieve the maximum effect per dollar invested, DOE will

Comparative life cycle assessment of industrial multi-product processes

OpenAIRE

Jung, Johannes

2014-01-01

The demand for environmentally safe industrial processes is increasing. Therefore, environmental impacts of new processes have to be examined at an early stage. A method for analyzing environmental impacts is life cycle assessment (LCA). A major trouble of LCA are multi-functionality problems. Multi-functionality problems can be fixed using alternative methods such as system expansion, avoided burden and allocation. Each of the three methods requires choices by the LCA-practitioner. The choic...

Minimization of decision tree depth for multi-label decision tables

KAUST Repository

Azad, Mohammad

2014-10-01

In this paper, we consider multi-label decision tables that have a set of decisions attached to each row. Our goal is to find one decision from the set of decisions for each row by using decision tree as our tool. Considering our target to minimize the depth of the decision tree, we devised various kinds of greedy algorithms as well as dynamic programming algorithm. When we compare with the optimal result obtained from dynamic programming algorithm, we found some greedy algorithms produces results which are close to the optimal result for the minimization of depth of decision trees.

Minimization of decision tree depth for multi-label decision tables

KAUST Repository

Azad, Mohammad; Moshkov, Mikhail

2014-01-01

In this paper, we consider multi-label decision tables that have a set of decisions attached to each row. Our goal is to find one decision from the set of decisions for each row by using decision tree as our tool. Considering our target to minimize the depth of the decision tree, we devised various kinds of greedy algorithms as well as dynamic programming algorithm. When we compare with the optimal result obtained from dynamic programming algorithm, we found some greedy algorithms produces results which are close to the optimal result for the minimization of depth of decision trees.

A Conditional Curie-Weiss Model for Stylized Multi-group Binary Choice with Social Interaction

Science.gov (United States)

Opoku, Alex Akwasi; Edusei, Kwame Owusu; Ansah, Richard Kwame

2018-04-01

This paper proposes a conditional Curie-Weiss model as a model for decision making in a stylized society made up of binary decision makers that face a particular dichotomous choice between two options. Following Brock and Durlauf (Discrete choice with social interaction I: theory, 1955), we set-up both socio-economic and statistical mechanical models for the choice problem. We point out when both the socio-economic and statistical mechanical models give rise to the same self-consistent equilibrium mean choice level(s). Phase diagram of the associated statistical mechanical model and its socio-economic implications are discussed.

GOAL Agents Instantiate Intention Logic

OpenAIRE

Hindriks, Koen; van der Hoek, Wiebe

2008-01-01

It is commonly believed there is a big gap between agent logics and computational agent frameworks. In this paper, we show that this gap is not as big as believed by showing that GOAL agents instantiate Intention Logic of Cohen and Levesque. That is, we show that GOAL agent programs can be formally related to Intention Logic.We do so by proving that the GOAL Verification Logic can be embedded into Intention Logic. It follows that (a fragment of) Intention Logic can be used t...

Reaching Agreement on Advisory Goals Using a Card Sorting and a Goal Ranking Approach: A Professional Development School Inquiry.

Science.gov (United States)

Galassi, John P.; Thornton, Beryl; Sheffield, Anne; Bryan, Michael; Oliver, Joyce

1998-01-01

Goal card sort and ranking task was given to middle school teachers and a sample of sixth- through eighth-grade students to generate data relevant to revising goals of an advisory program. Study categories included advocacy, community, skills, invigoration, academic and administrative. Community and advocacy goals received highest student ranking,…

Robust set-point regulation for ecological models with multiple management goals.

Science.gov (United States)

Guiver, Chris; Mueller, Markus; Hodgson, Dave; Townley, Stuart

2016-05-01

Population managers will often have to deal with problems of meeting multiple goals, for example, keeping at specific levels both the total population and population abundances in given stage-classes of a stratified population. In control engineering, such set-point regulation problems are commonly tackled using multi-input, multi-output proportional and integral (PI) feedback controllers. Building on our recent results for population management with single goals, we develop a PI control approach in a context of multi-objective population management. We show that robust set-point regulation is achieved by using a modified PI controller with saturation and anti-windup elements, both described in the paper, and illustrate the theory with examples. Our results apply more generally to linear control systems with positive state variables, including a class of infinite-dimensional systems, and thus have broader appeal.

Higher Education Marketing Strategies Based on Factors Impacting the Enrollees' Choice of a University and an Academic Program

Science.gov (United States)

Kalimullin, Aydar M.; Dobrotvorskaya, Svetlana G.

2016-01-01

The relevance of studying the stated problem is due to the fact that for increasing the efficiency of higher education marketing it is necessary to take into account several factors, namely, factors that impact the choice of a university and an academic program by enrollees, as well as socio-psychological characteristics of the latter, while…

Selecting the right digital camera for telemedicine-choice for 2009.

Science.gov (United States)

Patricoski, Chris; Ferguson, A Stewart; Brudzinski, Jay; Spargo, Garret

2010-03-01

Digital cameras are fundamental tools for store-and-forward telemedicine (electronic consultation). The choice of a camera may significantly impact this consultative process based on the quality of the images, the ability of users to leverage the cameras' features, and other facets of the camera design. The goal of this research was to provide a substantive framework and clearly defined process for reviewing digital cameras and to demonstrate the results obtained when employing this process to review point-and-shoot digital cameras introduced in 2009. The process included a market review, in-house evaluation of features, image reviews, functional testing, and feature prioritization. Seventy-two cameras were identified new on the market in 2009, and 10 were chosen for in-house evaluation. Four cameras scored very high for mechanical functionality and ease-of-use. The final analysis revealed three cameras that had excellent scores for both color accuracy and photographic detail and these represent excellent options for telemedicine: Canon Powershot SD970 IS, Fujifilm FinePix F200EXR, and Panasonic Lumix DMC-ZS3. Additional features of the Canon Powershot SD970 IS make it the camera of choice for our Alaska program.

A randomized trial comparing structured and lifestyle goals in an internet-mediated walking program for people with type 2 diabetes

OpenAIRE

Richardson, Caroline R; Mehari, Kathleen S; McIntyre, Laura G; Janney, Adrienne W; Fortlage, Laurie A; Sen, Ananda; Strecher, Victor J; Piette, John D

2007-01-01

Abstract Background The majority of individuals with type 2 diabetes do not exercise regularly. Pedometer-based walking interventions can help; however, pedometer-based interventions targeting only total daily accumulated steps might not yield the same health benefits as physical activity programs specifying a minimum duration and intensity of physical activity bouts. Methods This pilot randomized trial compared two goal-setting strategies: 1) lifestyle goals targeting total daily accumulated...

Choices Which Change Life Satisfaction: Similar Results for Australia, Britain and Germany

Science.gov (United States)

Headey, Bruce; Muffels, Ruud; Wagner, Gert G.

2013-01-01

Using data from national socio-economic panel surveys in Australia, Britain and Germany, this paper analyzes the effects of individual preferences and choices on subjective well-being (SWB). It is shown that, in all three countries, preferences and choices relating to life goals/values, partner's personality, hours of work, social participation…

Multi-product dynamic advertisement planning in a segmented market

Directory of Open Access Journals (Sweden)

Aggarwal Sugandha

2017-01-01

Full Text Available In this paper, a dynamic multi-objective linear integer programming model is proposed to optimally distribute a firm’s advertising budget among multiple products and media in a segmented market. To make the media plan responsive to the changes in the market, the distribution is carried out dynamically by dividing the planning horizon into smaller periods. The model incorporates the effect of the previous period advertising reach on the current period (taken through retention factor, and it also considers cross-product effect of simultaneously advertising different products. An application of the model is presented for an insurance firm that markets five different products, using goal programming approach.

Program integration on the Civilian Radioactive Waste Management System

International Nuclear Information System (INIS)

Trebules, V.B.

1995-01-01

The recent development and implementation of a revised Program Approach for the Civilian Radioactive Waste Management System (CRWMS) was accomplished in response to significant changes in the environment in which the program was being executed. The lack of an interim storage site, growing costs and schedule delays to accomplish the full Yucca Mountain site characterization plan, and the development and incorporation of a multi-purpose (storage, transport, and disposal) canister (MPC) into the CRWMS required a reexamination of Program plans and priorities. Dr. Daniel A. Dreyfus, the Director of the Office of Civilian Radioactive Waste Management (OCRWM), established top-level schedule, targets and cost goals and commissioned a Program-wide task force of DOE and contractor personnel to identify and evaluate alternatives to meet them. The evaluation of the suitability of Yucca Mountain site by 1998 and the repository license application data of 2001 were maintained and a target date of January 1998 for MPC availability was established. An increased multi-year funding profile was baselined and agreed to by Congress. A $1.3 billion reduction in Yucca Mountain site characterization costs was mandated to hold the cost to $5 billion. The replanning process superseded all previous budget allocations and focused on program requirements and their relative priorities within the cost profiles. This paper discusses the process for defining alternative scenarios to achieve the top-level program goals in an integrated fashion

Large-scaled biomonitoring of trace-element air pollution: goals and approaches

International Nuclear Information System (INIS)

Wolterbeek, H.T.

2000-01-01

Biomonitoring is often used in multi-parameter approaches in especially larger scaled surveys. The information obtained may consist of thousands of data points, which can be processed in a variety of mathematical routines to permit a condensed and strongly-smoothed presentation of results and conclusions. Although reports on larger-scaled biomonitoring surveys are 'easy- to-read' and often include far-reaching interpretations, it is not possible to obtain an insight into the real meaningfulness or quality of the survey performed. In any set-up, the aims of the survey should be put forward as clear as possible. Is the survey to provide information on atmospheric element levels, or on total, wet and dry deposition, what should be the time- or geographical scale and resolution of the survey, which elements should be determined, is the survey to give information on emission or immission characteristics? Answers to all these questions are of paramount importance, not only regarding the choice of the biomonitoring species or necessary handling/analysis techniques, but also with respect to planning and personnel, and, not to forget, the expected/available means of data interpretation. In considering a survey set-up, rough survey dimensions may follow directly from the goals; in practice, however, they will be governed by other aspects such as available personnel, handling means/capacity, costs, etc. In what sense and to what extent these factors may cause the survey to drift away from the pre-set goals should receive ample attention: in extreme cases the survey should not be carried out. Bearing in mind the above considerations, the present paper focuses on goals, quality and approaches of larger-scaled biomonitoring surveys on trace element air pollution. The discussion comprises practical problems, options, decisions, analytical means, quality measures, and eventual survey results. (author)

Management Matters: Planning Goals and Time

Science.gov (United States)

Pappas, Marjorie L.

2004-01-01

This article discusses the importance of setting and implementing goals that can help change and improve a library media program over time--goals that go beyond merely keeping the library media center running. Suggestions for developing an action plan and strategies for effective time management are also presented.

Enhancing youth outcomes following parental divorce: a longitudinal study of the effects of the new beginnings program on educational and occupational goals.

Science.gov (United States)

Sigal, Amanda B; Wolchik, Sharlene A; Tein, Jenn-Yun; Sandler, Irwin N

2012-01-01

This study examined whether the New Beginnings Program for divorced families led to improvements in youth's educational goals and job aspirations 6 years following participation and tested whether several parenting and youth variables mediated the program effects. Participants were 240 youth aged 9 to 12 years at the initial assessment, and data were part of a randomized, experimental trial of a parenting skills preventive intervention targeting children's postdivorce adjustment. The results revealed positive effects of the program on youth's educational goals and job aspirations 6 years after participation for those who were at high risk for developing later problems at program entry. Further, intervention-induced changes in mother-child relationship quality and youth externalizing problems, internalizing problems, self-esteem, and academic competence at the 6-year follow-up mediated the effects of the program on the educational expectations of high-risk youth. Intervention-induced changes in youth externalizing problems and academic competence at the 6-year follow-up mediated the effects of the program on the job aspirations of high-risk youth.

A programmed release multi-drug implant fabricated by three-dimensional printing technology for bone tuberculosis therapy

International Nuclear Information System (INIS)

Wu Weigang; Zheng Qixin; Guo Xiaodong; Sun Jianhua; Liu Yudong

2009-01-01

In the world, bone tuberculosis is still very difficult to treat and presents a challenge to clinicians. In this study, we utilized 3D printing technology to fabricate a programmed release multi-drug implant for bone tuberculosis therapy. The construction of the drug implant was a multi-layered concentric cylinder divided into four layers from the center to the periphery. Isoniazid and rifampicin were distributed individually into the different layers in a specific sequence of isoniazid-rifampicin-isoniazid-rifampicin. The drug release assays in vitro and in vivo showed that isoniazid and rifampicin were released orderly from the outside to the center to form the multi-drug therapeutic alliance, and the peak concentrations of drugs were detected in sequence at 8 to 12 day intervals. In addition, no negative effect on the proliferation of rabbit bone marrow mesenchymal stem cells was detected during the cytocompatibility assay. Due to its ideal pharmacologic action and cytocompatibility, the programmed release multi-drug implant with a complex construction fabricated by 3D printing technology could be of interest in prevention and treatment of bone tuberculosis.

A programmed release multi-drug implant fabricated by three-dimensional printing technology for bone tuberculosis therapy

Energy Technology Data Exchange (ETDEWEB)

Wu Weigang; Zheng Qixin; Guo Xiaodong; Sun Jianhua; Liu Yudong, E-mail: Zheng-qx@163.co [Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022 (China)

2009-12-15

In the world, bone tuberculosis is still very difficult to treat and presents a challenge to clinicians. In this study, we utilized 3D printing technology to fabricate a programmed release multi-drug implant for bone tuberculosis therapy. The construction of the drug implant was a multi-layered concentric cylinder divided into four layers from the center to the periphery. Isoniazid and rifampicin were distributed individually into the different layers in a specific sequence of isoniazid-rifampicin-isoniazid-rifampicin. The drug release assays in vitro and in vivo showed that isoniazid and rifampicin were released orderly from the outside to the center to form the multi-drug therapeutic alliance, and the peak concentrations of drugs were detected in sequence at 8 to 12 day intervals. In addition, no negative effect on the proliferation of rabbit bone marrow mesenchymal stem cells was detected during the cytocompatibility assay. Due to its ideal pharmacologic action and cytocompatibility, the programmed release multi-drug implant with a complex construction fabricated by 3D printing technology could be of interest in prevention and treatment of bone tuberculosis.

The effects of goal involvement on moral behavior in an experimentally manipulated competitive setting.

Science.gov (United States)

Sage, Luke; Kavussanu, Maria

2007-04-01

In this experiment we examined the effects of task and ego involvement on three measures of moral behavior--prosocial choice, observed prosocial behavior, and observed antisocial behavior--in a competitive setting. We also investigated sex differences in moral behavior. Male (n = 48) and female (n = 48) college students were randomly assigned to a task-involving, an ego-involving, or a control condition. Participants played two 10-min games of table soccer and completed measures of prosocial choice, goal involvement, goal orientation, and demographics. The two games were recorded, and frequencies of prosocial and antisocial behavior were coded. Players assigned to the task-involving condition were higher in prosocial choice than those in the ego-involving or control conditions. Individuals in the ego-involving condition displayed more antisocial behaviors than those in the task-involving or control conditions. Finally, females displayed more prosocial behaviors than males.

A hybrid solution approach for a multi-objective closed-loop logistics network under uncertainty

Science.gov (United States)

Mehrbod, Mehrdad; Tu, Nan; Miao, Lixin

2015-06-01

The design of closed-loop logistics (forward and reverse logistics) has attracted growing attention with the stringent pressures of customer expectations, environmental concerns and economic factors. This paper considers a multi-product, multi-period and multi-objective closed-loop logistics network model with regard to facility expansion as a facility location-allocation problem, which more closely approximates real-world conditions. A multi-objective mixed integer nonlinear programming formulation is linearized by defining new variables and adding new constraints to the model. By considering the aforementioned model under uncertainty, this paper develops a hybrid solution approach by combining an interactive fuzzy goal programming approach and robust counterpart optimization based on three well-known robust counterpart optimization formulations. Finally, this paper compares the results of the three formulations using different test scenarios and parameter-sensitive analysis in terms of the quality of the final solution, CPU time, the level of conservatism, the degree of closeness to the ideal solution, the degree of balance involved in developing a compromise solution, and satisfaction degree.

The Impact Analysis of Psychological Reliability of Population Pilot Study For Selection of Particular Reliable Multi-Choice Item Test in Foreign Language Research Work

Directory of Open Access Journals (Sweden)

Seyed Hossein Fazeli

2010-10-01

Full Text Available The purpose of research described in the current study is the psychological reliability, its’ importance, application, and more to investigate on the impact analysis of psychological reliability of population pilot study for selection of particular reliable multi-choice item test in foreign language research work. The population for subject recruitment was all under graduated students from second semester at large university in Iran (both male and female that study English as a compulsory paper. In Iran, English is taught as a foreign language.

Speed/accuracy trade-off between the habitual and the goal-directed processes.

Directory of Open Access Journals (Sweden)

Mehdi Keramati

2011-05-01

Full Text Available Instrumental responses are hypothesized to be of two kinds: habitual and goal-directed, mediated by the sensorimotor and the associative cortico-basal ganglia circuits, respectively. The existence of the two heterogeneous associative learning mechanisms can be hypothesized to arise from the comparative advantages that they have at different stages of learning. In this paper, we assume that the goal-directed system is behaviourally flexible, but slow in choice selection. The habitual system, in contrast, is fast in responding, but inflexible in adapting its behavioural strategy to new conditions. Based on these assumptions and using the computational theory of reinforcement learning, we propose a normative model for arbitration between the two processes that makes an approximately optimal balance between search-time and accuracy in decision making. Behaviourally, the model can explain experimental evidence on behavioural sensitivity to outcome at the early stages of learning, but insensitivity at the later stages. It also explains that when two choices with equal incentive values are available concurrently, the behaviour remains outcome-sensitive, even after extensive training. Moreover, the model can explain choice reaction time variations during the course of learning, as well as the experimental observation that as the number of choices increases, the reaction time also increases. Neurobiologically, by assuming that phasic and tonic activities of midbrain dopamine neurons carry the reward prediction error and the average reward signals used by the model, respectively, the model predicts that whereas phasic dopamine indirectly affects behaviour through reinforcing stimulus-response associations, tonic dopamine can directly affect behaviour through manipulating the competition between the habitual and the goal-directed systems and thus, affect reaction time.

Small Business. More Transparency Needed in Prime Contract Goal Program

National Research Council Canada - National Science Library

2001-01-01

... businesses for each fiscal year. The Small Business Administration (SBA) is charged with working with federal agencies to ensure that agency goals, in the aggregate, meet or exceed the 23-percent goal...

Neural Correlates of Affective Influence on Choice

Science.gov (United States)

Piech, Richard M.; Lewis, Jade; Parkinson, Caroline H.; Owen, Adrian M.; Roberts, Angela C.; Downing, Paul E.; Parkinson, John A.

2010-01-01

Making the right choice depends crucially on the accurate valuation of the available options in the light of current needs and goals of an individual. Thus, the valuation of identical options can vary considerably with motivational context. The present study investigated the neural structures underlying context dependent evaluation. We instructed…

Modeling Nurse Scheduling Problem Using 0-1 Goal Programming A Case Study Of Tafo Government Hospital Kumasi-Ghana

Directory of Open Access Journals (Sweden)

Wallace Agyei

2015-03-01

Full Text Available Abstract The problem of scheduling nurses at the Out-Patient Department OPD at Tafo Government Hospital Kumasi Ghana is presented. Currently the schedules are prepared by head nurse who performs this difficult and time consuming task by hand. Due to the existence of many constraints the resulting schedule usually does not guarantee the fairness of distribution of work. The problem was formulated as 0-1goal programming model with the of objective of evenly balancing the workload among nurses and satisfying their preferences as much as possible while complying with the legal and working regulations.. The developed model was then solved using LINGO14.0 software. The resulting schedules based on 0-1goal programming model balanced the workload in terms of the distribution of shift duties fairness in terms of the number of consecutive night duties and satisfied the preferences of the nurses. This is an improvement over the schedules done manually.

Performance improvement program: goals and experience

International Nuclear Information System (INIS)

Guglielmi, F.

2015-01-01

Following long 54 month refurbishment outage at Point Lepreau Generating Station, operational performance had fallen below industry standards in a number of areas. Leadership development and succession planning had stalled. Operational focus was low primarily due to the construction focus during refurbishment. Condition of balance of plant was poor including several long standing deficiencies. In order to improve performance, the site implemented a framework based on INPO 12-011: Focus on Improving Behaviours; Set common goals and demonstrate results; Align and engage the organization; Drive to achieve high levels of performance and sustain performance.

Performance improvement program: goals and experience

Energy Technology Data Exchange (ETDEWEB)

Guglielmi, F. [Point Lepreau Generating Station, Maces Bay, New Brunswick (Canada)

2015-07-01

Following long 54 month refurbishment outage at Point Lepreau Generating Station, operational performance had fallen below industry standards in a number of areas. Leadership development and succession planning had stalled. Operational focus was low primarily due to the construction focus during refurbishment. Condition of balance of plant was poor including several long standing deficiencies. In order to improve performance, the site implemented a framework based on INPO 12-011: Focus on Improving Behaviours; Set common goals and demonstrate results; Align and engage the organization; Drive to achieve high levels of performance and sustain performance.

Making Sustainable Energy Choices: Insights on the Energy/Water/Land Nexus

Energy Technology Data Exchange (ETDEWEB)

2014-10-01

This periodic publication summarizes insights from the body of NREL analysis work. In this issue of Analysis Insights, we examine the implications of our energy choices on water, land use, climate, developmental goals, and other factors. Collectively, NREL's work helps policymakers and investors understand and evaluate energy choices within the complex web of connections, or nexus, between energy, water, and land.

Multi-gene genetic programming based predictive models for municipal solid waste gasification in a fluidized bed gasifier.

Science.gov (United States)

Pandey, Daya Shankar; Pan, Indranil; Das, Saptarshi; Leahy, James J; Kwapinski, Witold

2015-03-01

A multi-gene genetic programming technique is proposed as a new method to predict syngas yield production and the lower heating value for municipal solid waste gasification in a fluidized bed gasifier. The study shows that the predicted outputs of the municipal solid waste gasification process are in good agreement with the experimental dataset and also generalise well to validation (untrained) data. Published experimental datasets are used for model training and validation purposes. The results show the effectiveness of the genetic programming technique for solving complex nonlinear regression problems. The multi-gene genetic programming are also compared with a single-gene genetic programming model to show the relative merits and demerits of the technique. This study demonstrates that the genetic programming based data-driven modelling strategy can be a good candidate for developing models for other types of fuels as well. Copyright © 2014 Elsevier Ltd. All rights reserved.

"We will not rest." Filipino women want a fertility management program that respects women's dignity, women's bodies and women's choices.

Science.gov (United States)

Alvarez, R O

1993-03-01

The program officer for the Institute for Social Studies and Action presents 1) her views on women's fertility management under different political administrations in the Philippines, 2) the political postures of influential groups, 3) the goals of women's and health groups, and 4) the actions taken by Filipino women. Under Ferdinand Marcos, the official family planning (FP) program emphasized reduction of population growth and established a quota system and incentives for the number of new acceptors. Women, as a result, became victims; e.g. IUDs were inserted without prior knowledge, and inadequate information and follow-up were provided on oral contraceptive use. Efforts were criticized for treating women as program targets and not as individuals capable of making choices. Under Corazon Aquino, the Roman Catholic hierarchy dominated and would have banned all forms of artificial contraception had women's and health groups not blocked the effort. Only in 1989 did President Aquino finally announce that multiple methods of family planning (FP) would be promoted. There was a transition in program services during the transfer to the Department of Health. Currently the government promotes FP within the safe motherhood and child survival context, but adolescents and unmarried women and couples are excluded from FP services. Population control advocates believe FP is a health issue. The Roman Catholic Church accepts only natural methods and believes artificial methods interfere with the natural processes of procreation. Anti-FP groups promote only natural FP methods and wage campaigns to discredit contraceptive methods. Women's and FP groups contend that it is a woman's right to regulate her own fertility. Safe abortion should be made available to those who need it. Women's networks are mobilizing to talk about the issues, to hold public activities to change laws and policies and to encourage women's involvement in decision making affecting their lives, and to conduct

Consumer’s Evaluation and Choice of Beer in Vietnam

DEFF Research Database (Denmark)

Nguyen, Thong Tien; Solgaard, Hans Stubbe; Yang, Yingkui

2016-01-01

Understanding the consumer’s evaluation and choice for beer characteristics is critical for marketers, nutritionist and health educators. We used multi-profile best-worst scaling to understand how consumers evaluate beer attributes in Vietnam context. We found that beer brand, price and packaging...

The Influence of Choice Theory Anger Management Program (CTAMP) on the Ability of Prospective Psychological Counselors for Anger Management

Science.gov (United States)

Gündogdu, Rezzan

2018-01-01

This research is a quasi-experimental study with pretest-posttest-fallow up test and experiment-control group to investigate the influence of Choice Theory-based Anger Management Psychoeducation Program (CTAMP) on the ability of students of Department of Psychological Counseling and Guidance (PCG) for anger management. The Trait Anger-Anger Style…

A multi-adaptive framework for the crop choice in paludicultural cropping systems

Directory of Open Access Journals (Sweden)

Nicola Silvestri

2017-03-01

Full Text Available The conventional cultivation of drained peatland causes peat oxidation, soil subsidence, nutrient loss, increasing greenhouse gas emissions and biodiversity reduction. Paludiculture has been identified as an alternative management strategy consisting in the cultivation of biomass on wet and rewetted peatlands. This strategy can save these habitats and restore the ecosystem services provided by the peatlands both on the local and global scale. This paper illustrates the most important features to optimise the crop choice phase which is the crucial point for the success of paludiculture systems. A multi-adaptive framework was proposed. It was based on four points that should be checked to identify suitable crops for paludicultural cropping system: biological traits, biomass production, attitude to cultivation and biomass quality. The main agronomic implications were explored with the help of some results from a plurennial open-field experimentation carried out in a paludicultural system set up in the Massaciuccoli Lake Basin (Tuscany, Italy and a complete example of the method application was provided. The tested crops were Arundo donax L., Miscanthus×giganteus Greef et Deuter, Phragmites australis L., Populus×canadensis Moench. and Salix alba L. The results showed a different level of suitability ascribable to the different plant species proving that the proposed framework can discriminate the behaviour of tested crops. Phragmites australis L. was the most suitable crop whereas Populus×canadensis Moench and Miscanthus×giganteus Greef et Deuter (in the case of biogas conversion occupied the last positions in the ranking.

CAI System with Multi-Media Text Through Web Browser for NC Lathe Programming

Science.gov (United States)

Mizugaki, Yoshio; Kikkawa, Koichi; Mizui, Masahiko; Kamijo, Keisuke

A new Computer Aided Instruction (CAI) system for NC lathe programming has been developed with use of multi-media texts including movies, animations, pictures, sound and texts through Web browser. Although many CAI systems developed previously for NC programming consist of text-based instructions, it is difficult for beginners to learn NC programming with use of them. In the developed CAI system, multi-media texts are adopted for the help of users' understanding, and it is available through Web browser anytime and anywhere. Also the error log is automatically recorded for the future references. According to the NC programming coded by a user, the movement of the NC lathe is animated and shown in the monitor screen in front of the user. If its movement causes the collision between a cutting tool and the lathe, some sound and the caution remark are generated. If the user makes mistakes some times at a certain stage in learning NC, the corresponding suggestion is shown in the form of movies, animations, and so forth. By using the multimedia texts, users' attention is kept concentrated during a training course. In this paper, the configuration of the CAI system is explained and the actual procedures for users to learn the NC programming are also explained too. Some beginners tested this CAI system and their results are illustrated and discussed from the viewpoint of the efficiency and usefulness of this CAI system. A brief conclusion is also mentioned.

The Formalization of the Business Process Modeling Goals

Directory of Open Access Journals (Sweden)

Ligita Bušinska

2016-10-01

Full Text Available In business process modeling the de facto standard BPMN has emerged. However, the applications of this notation have many subsets of elements and various extensions. Also, BPMN still coincides with many other modeling languages, forming a large set of available options for business process modeling languages and dialects. While, in general, the goal of modelers is a central notion in the choice of modeling languages and notations, in most researches that propose guidelines, techniques, and methods for business process modeling language evaluation and/or selection, the business process modeling goal is not formalized and not transparently taken into account. To overcome this gap, and to explicate and help to handle business process modeling complexity, the approach to formalize the business process modeling goal, and the supporting three dimensional business process modeling framework, are proposed.